diff --git a/.github/ISSUE_TEMPLATE/bug.yml b/.github/ISSUE_TEMPLATE/bug.yml
new file mode 100644
index 0000000000..783f9b5729
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug.yml
@@ -0,0 +1,106 @@
+---
+name: Bug Report
+description: Use this template for reporting bugs.
+title: "[Bug]: "
+labels: ["bug", "triage"]
+assignees: []
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to fill out this bug report!
+  - type: textarea
+    id: brief-description
+    attributes:
+      label: Brief Description
+      description: Please summarize the bug, specifying where it occurs (e.g., in which part of the code or when performing a specific action).
+    validations:
+      required: true
+  - type: dropdown
+    id: llm
+    attributes:
+      label: LLM
+      description: Please specify the LLM you are using.
+      options:
+        - ChatGPT
+        - GPT-4
+        - Anthropic
+        - GPT4All
+    validations:
+      required: false
+  - type: dropdown
+    id: transcription-services
+    attributes:
+      label: Transcription Services
+      description: Please specify the Transcription service you are using.
+      options:
+        - AssemblyAI
+        - Deepgram
+        - Gladia
+        - Google Cloud
+        - Microsoft Azure
+        - RevAI
+        - Whisper
+        - Whisper.cpp
+    validations:
+      required: false
+  - type: dropdown
+    id: synthesis-services
+    attributes:
+      label: Synthesis Services
+      description: Please specify the Synthesis service you are using.
+      options:
+        - Rime.ai
+        - Microsoft Azure
+        - Google Cloud
+        - Play.ht
+        - Eleven Labs
+        - Coqui
+        - Coqui (OSS)
+        - gTTS
+        - StreamElements
+        - Bark
+        - AWS Polly
+    validations:
+      required: false
+  - type: dropdown
+    id: telephony-services
+    attributes:
+      label: Telephony Services
+      description: Please specify the Telephony service you are using.
+      options:
+        - Twilio
+        - Vonage
+    validations:
+      required: false
+  - type: textarea
+    id: conversation-type-and-platform
+    attributes:
+      label: Conversation Type and Platform
+      description: Please specify the type of conversation (turn-based or real-time streaming), and the platform (Phone with Twilio or Vonage, Web, or Meeting).
+    validations:
+      required: false
+  - type: textarea
+    id: steps-to-reproduce
+    attributes:
+      label: Steps to Reproduce
+      description: List the steps to reproduce the bug.
+    validations:
+      required: true
+  - type: textarea
+    id: expected-behavior
+    attributes:
+      label: Expected Behavior
+      description: Describe what should happen instead of the bug.
+    validations:
+      required: true
+  - type: textarea
+    id: screenshots
+    attributes:
+      label: Screenshots
+      description: If applicable, add screenshots to help explain the problem.
+    validations:
+      required: false
+---
+
+
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
new file mode 100644
index 0000000000..95107361cf
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1,5 @@
+blank_issues_enabled: true
+contact_links:
+- name: Discord Community Support
+  url: https://discord.gg/xxTAGR9Frm
+  about: Please ask and answer questions here.
\ No newline at end of file
diff --git a/.github/ISSUE_TEMPLATE/docs.yml b/.github/ISSUE_TEMPLATE/docs.yml
new file mode 100644
index 0000000000..bb5bfe097b
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/docs.yml
@@ -0,0 +1,35 @@
+---
+name: Documentation Issue
+description: Use this template for reporting issues with the documentation.
+title: '[Docs]:'
+labels: 'documentation'
+assignees: []
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to fill out this documentation issue!
+  - type: textarea
+    id: brief-description
+    attributes:
+      label: Brief Description
+      description: Please summarize the issue, specifying where in the documentation it occurs (e.g., section, paragraph).
+    validations:
+      required: true
+  - type: textarea
+    id: steps-to-reproduce
+    attributes:
+      label: Steps to Reproduce
+      description: If applicable, list the steps to reproduce the issue, especially for incorrect instructions.
+    validations:
+      required: false
+  - type: textarea
+    id: suggested-fix
+    attributes:
+      label: Suggested Fix
+      description: If possible, provide a proposed solution or improvement, such as text rewrites, clarifications, or new examples.
+    validations:
+      required: false
+---
+
+
diff --git a/.github/ISSUE_TEMPLATE/features.yml b/.github/ISSUE_TEMPLATE/features.yml
new file mode 100644
index 0000000000..6735c9ead8
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/features.yml
@@ -0,0 +1,37 @@
+---
+name: Feature Request
+description: Use this template for proposing new features.
+title: "[Feature]: "
+labels: ["feature", "triage"]
+assignees: []
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to fill out this feature request!
+  - type: textarea
+    id: brief-description
+    attributes:
+      label: Brief Description
+      description: Please summarize the proposed feature, specifying what it should do and why it would be useful.
+    validations:
+      required: true
+  - type: textarea
+    id: rationale
+    attributes:
+      label: Rationale
+      description: Please explain why this feature would be useful and how it would improve the project.
+    validations:
+      required: true
+  - type: textarea
+    id: suggested-implementation
+    attributes:
+      label: Suggested Implementation
+      description: If possible, provide details about how this feature could be implemented.
+    validations:
+      required: false
+---
+
+
+
+
diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml
new file mode 100644
index 0000000000..2e1074b8a0
--- /dev/null
+++ b/.github/workflows/stale.yml
@@ -0,0 +1,28 @@
+name: "Close stale issues"
+
+on:
+  schedule:
+    - cron: "30 1 * * *"
+
+permissions:
+  contents: write
+  issues: write
+  pull-requests: write
+
+jobs:
+  stale:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/stale@v9
+      with:
+        repo-token: ${{ secrets.GITHUB_TOKEN }}
+        days-before-stale: 60
+        days-before-close: 7
+        stale-issue-label: 'stale'
+        stale-issue-message: 'This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.'
+        close-issue-message: 'This issue has been automatically closed due to inactivity. Thank you for your contributions.'
+        stale-pr-label: 'stale'
+        stale-pr-message: 'This PR has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.'
+        close-pr-message: 'This PR has been automatically closed due to inactivity. Thank you for your contributions.'
+        exempt-all-pr-milestones: true
+        enable-statistics: true
\ No newline at end of file
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 9f01740f9f..357bd7ea7a 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -4,55 +4,89 @@ on:
   push:
     branches: [main]
   pull_request:
-    branches: [main]
+    branches: [main, vocode-core-0.1.0, vocodehq-public]
+
+env:
+  poetry-version: "1.8.3"
 
 jobs:
-  build:
+  lint:
     strategy:
       fail-fast: false
       matrix:
         python-version:
-          - "3.8"
-          - "3.9"
-          - "3.10"
-          - "3.11"
-        poetry-version:
-          - "1.4.2"
+        - "3.10"
+        - "3.11"
 
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@v2
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - name: Install ffmpeg
-        run: |
-          sudo apt-get update
-          sudo apt-get install -y ffmpeg
-
-      - name: Install poetry ${{ matrix.poetry-version }}
-        run: |
-          python -m ensurepip
-          python -m pip install --upgrade pip
-          python -m pip install poetry==${{ matrix.poetry-version }}
-
-      - name: View poetry --help
-        run: poetry --help
-
-      - name: Install dependencies
-        shell: bash
-        run: python -m poetry install -E all
-
-      - name: Lint with mypy
-        run: |
-          python -m poetry run mypy -p vocode
-          python -m poetry run mypy -p quickstarts
-          python -m poetry run mypy -p playground
-
-      - name: Test with pytest
-        run: |
-          python -m poetry run python -m pytest -v tests
+    - uses: actions/checkout@v2
+
+    - name: Install ffmpeg
+      run: |
+        sudo apt-get update
+        sudo apt-get install -y ffmpeg
+
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Set up Poetry
+      uses: abatilo/actions-poetry@v3.0.0
+      with:
+        poetry-version: ${{ env.poetry-version }}
+
+    - name: Install dependencies
+      run: poetry install -E all
+
+    - name: Run mypy
+      run: |
+        poetry run mypy -p vocode
+        poetry run mypy -p quickstarts
+        poetry run mypy -p playground
+
+    - name: Run black
+      if: success() || failure()
+      run: poetry run black --check .
+
+    - name: Run isort
+      shell: bash
+      if: success() || failure()
+      run: poetry run isort --check .
+
+  pytest:
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version:
+        - "3.10"
+        - "3.11"
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+
+    - name: Install ffmpeg
+      run: |
+        sudo apt-get update
+        sudo apt-get install -y ffmpeg
+
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    - name: Set up Poetry
+      uses: abatilo/actions-poetry@v3.0.0
+      with:
+        poetry-version: ${{ env.poetry-version }}
+
+    - name: Install dependencies
+      run: poetry install -E all
+
+    - name: Test with pytest
+      run: |
+        poetry run pytest -v tests
diff --git a/.gitignore b/.gitignore
index 0743cc95c7..e0ff3f5c6f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -10,3 +10,4 @@ credentials.json
 benchmark_results/
 private.key
 dump.rdb
+.idea
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 9f54bb9976..ca2336177e 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,13 +1,41 @@
+default_language_version:
+  python: python3.10
+
 repos:
--   repo: https://github.com/psf/black
-    rev: 23.1.0
-    hooks:
-    -   id: black
--   repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.3.0
-    hooks:
-    -   id: mypy
-        args: [--ignore-missing-imports, ./]
-        language: system
-        pass_filenames: false
-        stages: [pre-push]
+- repo: https://github.com/pre-commit/pre-commit-hooks
+  rev: v4.6.0
+  hooks:
+  - id: check-ast
+  - id: trailing-whitespace
+  - id: check-toml
+  - id: end-of-file-fixer
+  - id: check-case-conflict
+  - id: check-merge-conflict
+  - id: check-symlinks
+  - id: detect-private-key
+  - id: mixed-line-ending
+    args:
+    - --fix=lf
+
+- repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
+  rev: v2.13.0
+  hooks:
+  - id: pretty-format-yaml
+    args:
+    - --autofix
+    - --preserve-quotes
+    - --indent=2
+
+- repo: https://github.com/pycqa/isort
+  rev: 5.13.2
+  hooks:
+  - id: isort
+    args:
+    - --settings-path=./pyproject.toml
+
+- repo: https://github.com/psf/black-pre-commit-mirror
+  rev: 24.4.2
+  hooks:
+  - id: black
+    args:
+    - --config=./pyproject.toml
diff --git a/.vscode/extensions.json b/.vscode/extensions.json
new file mode 100644
index 0000000000..9301ecc725
--- /dev/null
+++ b/.vscode/extensions.json
@@ -0,0 +1,8 @@
+{
+  "recommendations": [
+    "ms-python.black-formatter",
+    "ms-python.isort",
+    "ms-python.python",
+    "ms-python.vscode-pylance"
+  ]
+}
diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 0000000000..03e207285d
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,17 @@
+{
+  "[python]": {
+    "editor.defaultFormatter": "ms-python.black-formatter",
+    "editor.codeActionsOnSave": {
+      "source.fixAll": "explicit",
+      "source.organizeImports": "explicit"
+    }
+  },
+  "black-formatter.args": ["--config", "./pyproject.toml"],
+  "isort.args": ["--settings-path", "./pyproject.toml"],
+  "rewrap.autoWrap.enabled": true,
+  "rewrap.wrappingColumn": 100,
+  "python.testing.unittestEnabled": false,
+  "python.testing.pytestEnabled": true,
+  "isort.check": true,
+  "python.testing.pytestArgs": ["tests"]
+}
diff --git a/Makefile b/Makefile
index b58788087a..3c8d26f713 100644
--- a/Makefile
+++ b/Makefile
@@ -9,6 +9,12 @@ transcribe:
 synthesize:
 	poetry run python playground/streaming/synthesizer/synthesize.py
 
+turn_based_conversation:
+	poetry run python quickstarts/turn_based_conversation.py
+
+streaming_conversation:
+	poetry run python quickstarts/streaming_conversation.py
+
 PYTHON_FILES=.
 lint: PYTHON_FILES=vocode/ quickstarts/ playground/
 lint_diff typecheck_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d main | grep -E '\.py$$')
@@ -19,7 +25,6 @@ lint lint_diff:
 typecheck:
 	poetry run mypy -p vocode
 	poetry run mypy -p quickstarts
-	poetry run mypy -p apps
 	poetry run mypy -p playground
 
 typecheck_diff:
diff --git a/README.md b/README.md
index e30c2076de..82cc97c65b 100644
--- a/README.md
+++ b/README.md
@@ -2,10 +2,11 @@
 
 ![Hero](https://user-images.githubusercontent.com/6234599/228337850-e32bb01d-3701-47ef-a433-3221c9e0e56e.png)
 
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/vocodehq.svg?style=social&label=Follow%20%40vocodehq)](https://twitter.com/vocodehq) [![GitHub Repo stars](https://img.shields.io/github/stars/vocodedev/vocode-python?style=social)](https://github.com/vocodedev/vocode-python)
+[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/vocodehq.svg?style=social&label=Follow%20%40vocodehq)](https://twitter.com/vocodehq) [![GitHub Repo stars](https://img.shields.io/github/stars/vocodedev/vocode-core?style=social)](https://github.com/vocodedev/vocode-core)
+[![pypi](https://img.shields.io/pypi/v/vocode.svg)](https://pypi.python.org/pypi/vocode)
 [![Downloads](https://static.pepy.tech/badge/vocode/month)](https://pepy.tech/project/vocode)
 
-[Community](https://discord.gg/NaU4mMgcnC) | [Docs](https://docs.vocode.dev) | [Dashboard](https://app.vocode.dev)
+[Community](https://discord.gg/NaU4mMgcnC) | [Docs](https://docs.vocode.dev/open-source) | [Dashboard](https://app.vocode.dev)
 
 </div>
 
@@ -19,36 +20,36 @@ We're actively looking for community maintainers, so please reach out if interes
 
 # ⭐️ Features
 
-- 🗣 [Spin up a conversation with your system audio](https://docs.vocode.dev/python-quickstart)
-- ➡️ 📞 [Set up a phone number that responds with a LLM-based agent](https://docs.vocode.dev/telephony#inbound-calls)
-- 📞 ➡️ [Send out phone calls from your phone number managed by an LLM-based agent](https://docs.vocode.dev/telephony#outbound-calls)
-- 🧑‍💻 [Dial into a Zoom call](https://github.com/vocodedev/vocode-python/blob/main/vocode/streaming/telephony/hosted/zoom_dial_in.py)
-- 🤖 [Use an outbound call to a real phone number in a Langchain agent](https://docs.vocode.dev/langchain-agent)
+- 🗣 [Spin up a conversation with your system audio](https://docs.vocode.dev/open-source/python-quickstart)
+- ➡️ 📞 [Set up a phone number that responds with a LLM-based agent](https://docs.vocode.dev/open-source/telephony#inbound-calls)
+- 📞 ➡️ [Send out phone calls from your phone number managed by an LLM-based agent](https://docs.vocode.dev/telephony/open-source/#outbound-calls)
+- 🧑‍💻 [Dial into a Zoom call](https://github.com/vocodedev/vocode-core/blob/53b01dab0b59f71961ee83dbcaf3653a6935c2e3/vocode/streaming/telephony/conversation/zoom_dial_in.py)
+- 🤖 [Use an outbound call to a real phone number in a Langchain agent](https://docs.vocode.dev/open-source/langchain-agent)
 - Out of the box integrations with:
   - Transcription services, including:
-    - [Deepgram](https://deepgram.com/)
     - [AssemblyAI](https://www.assemblyai.com/)
+    - [Deepgram](https://deepgram.com/)
+    - [Gladia](https://gladia.io)
     - [Google Cloud](https://cloud.google.com/speech-to-text)
-    - [Whisper.cpp](https://github.com/ggerganov/whisper.cpp)
     - [Microsoft Azure](https://azure.microsoft.com/en-us/products/cognitive-services/speech-to-text)
-    - [Whisper](https://openai.com/blog/introducing-chatgpt-and-whisper-apis)
     - [RevAI](https://www.rev.ai/)
+    - [Whisper](https://openai.com/blog/introducing-chatgpt-and-whisper-apis)
+    - [Whisper.cpp](https://github.com/ggerganov/whisper.cpp)
   - LLMs, including:
-    - [ChatGPT](https://openai.com/blog/chatgpt)
-    - [GPT-4](https://platform.openai.com/docs/models/gpt-4)
+    - [OpenAI](https://platform.openai.com/docs/models)
     - [Anthropic](https://www.anthropic.com/)
-    - [GPT4All](https://github.com/nomic-ai/gpt4all)
   - Synthesis services, including:
     - [Rime.ai](https://rime.ai)
     - [Microsoft Azure](https://azure.microsoft.com/en-us/products/cognitive-services/text-to-speech/)
     - [Google Cloud](https://cloud.google.com/text-to-speech)
     - [Play.ht](https://play.ht)
     - [Eleven Labs](https://elevenlabs.io/)
-    - [Coqui](https://coqui.ai/)
+    - [Cartesia](https://cartesia.ai/)
     - [Coqui (OSS)](https://github.com/coqui-ai/TTS)
     - [gTTS](https://gtts.readthedocs.io/)
     - [StreamElements](https://streamelements.com/)
     - [Bark](https://github.com/suno-ai/bark)
+    - [AWS Polly](https://aws.amazon.com/polly/)
 
 Check out our React SDK [here](https://github.com/vocodedev/vocode-react-sdk)!
 
@@ -56,45 +57,63 @@ Check out our React SDK [here](https://github.com/vocodedev/vocode-react-sdk)!
 
 We're an open source project and are extremely open to contributors adding new features, integrations, and documentation! Please don't hesitate to reach out and get started building with us.
 
-For more information on contributing, see our [Contribution Guide](https://github.com/vocodedev/vocode-python/blob/main/contributing.md).
+For more information on contributing, see our [Contribution Guide](https://github.com/vocodedev/vocode-core/blob/main/contributing.md).
 
-And check out our [Roadmap](https://github.com/vocodedev/vocode-python/blob/main/roadmap.md).
+And check out our [Roadmap](https://github.com/vocodedev/vocode-core/blob/main/roadmap.md).
 
 We'd love to talk to you on [Discord](https://discord.gg/NaU4mMgcnC) about new ideas and contributing!
 
-# 🚀 Quickstart (Self-hosted)
+# 🚀 Quickstart
 
 ```bash
-pip install 'vocode'
+pip install vocode
 ```
 
 ```python
 import asyncio
-import logging
 import signal
-from vocode.streaming.streaming_conversation import StreamingConversation
+
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
 from vocode.helpers import create_streaming_microphone_input_and_speaker_output
-from vocode.streaming.transcriber import *
-from vocode.streaming.agent import *
-from vocode.streaming.synthesizer import *
-from vocode.streaming.models.transcriber import *
-from vocode.streaming.models.agent import *
-from vocode.streaming.models.synthesizer import *
+from vocode.logging import configure_pretty_logging
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.models.agent import ChatGPTAgentConfig
 from vocode.streaming.models.message import BaseMessage
-import vocode
-
-# these can also be set as environment variables
-vocode.setenv(
-    OPENAI_API_KEY="<your OpenAI key>",
-    DEEPGRAM_API_KEY="<your Deepgram key>",
-    AZURE_SPEECH_KEY="<your Azure key>",
-    AZURE_SPEECH_REGION="<your Azure region>",
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.streaming.models.transcriber import (
+    DeepgramTranscriberConfig,
+    PunctuationEndpointingConfig,
 )
+from vocode.streaming.streaming_conversation import StreamingConversation
+from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
+from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
 
+configure_pretty_logging()
 
-logging.basicConfig()
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
+
+class Settings(BaseSettings):
+    """
+    Settings for the streaming conversation quickstart.
+    These parameters can be configured with environment variables.
+    """
+
+    openai_api_key: str = "ENTER_YOUR_OPENAI_API_KEY_HERE"
+    azure_speech_key: str = "ENTER_YOUR_AZURE_KEY_HERE"
+    deepgram_api_key: str = "ENTER_YOUR_DEEPGRAM_API_KEY_HERE"
+
+    azure_speech_region: str = "eastus"
+
+    # This means a .env file can be used to overload these settings
+    # ex: "OPENAI_API_KEY=my_key" will set openai_api_key over the default above
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+        extra="ignore",
+    )
+
+
+settings = Settings()
 
 
 async def main():
@@ -103,7 +122,6 @@ async def main():
         speaker_output,
     ) = create_streaming_microphone_input_and_speaker_output(
         use_default_devices=False,
-        logger=logger,
     )
 
     conversation = StreamingConversation(
@@ -112,24 +130,25 @@ async def main():
             DeepgramTranscriberConfig.from_input_device(
                 microphone_input,
                 endpointing_config=PunctuationEndpointingConfig(),
-            )
+                api_key=settings.deepgram_api_key,
+            ),
         ),
         agent=ChatGPTAgent(
             ChatGPTAgentConfig(
+                openai_api_key=settings.openai_api_key,
                 initial_message=BaseMessage(text="What up"),
                 prompt_preamble="""The AI is having a pleasant conversation about life""",
             )
         ),
         synthesizer=AzureSynthesizer(
-            AzureSynthesizerConfig.from_output_device(speaker_output)
+            AzureSynthesizerConfig.from_output_device(speaker_output),
+            azure_speech_key=settings.azure_speech_key,
+            azure_speech_region=settings.azure_speech_region,
         ),
-        logger=logger,
     )
     await conversation.start()
     print("Conversation started, press Ctrl+C to end")
-    signal.signal(
-        signal.SIGINT, lambda _0, _1: asyncio.create_task(conversation.terminate())
-    )
+    signal.signal(signal.SIGINT, lambda _0, _1: asyncio.create_task(conversation.terminate()))
     while conversation.is_active():
         chunk = await microphone_input.get_audio()
         conversation.receive_audio(chunk)
@@ -141,10 +160,8 @@ if __name__ == "__main__":
 
 # 📞 Phone call quickstarts
 
-- [Telephony Server - Self-hosted](https://docs.vocode.dev/telephony)
-- [Inbound calls - Hosted](https://docs.vocode.dev/telephony#inbound-calls)
-- [Outbound calls - Hosted](https://docs.vocode.dev/telephony#outbound-calls)
+- [Telephony Server - Self-hosted](https://docs.vocode.dev/open-source/telephony)
 
 # 🌱 Documentation
 
-[docs.vocode.dev](https://docs.vocode.dev/)
+[docs.vocode.dev](https://docs.vocode.dev/open-source)
diff --git a/apps/client_backend/Dockerfile b/apps/client_backend/Dockerfile
index acaa62aa76..523412a594 100644
--- a/apps/client_backend/Dockerfile
+++ b/apps/client_backend/Dockerfile
@@ -1,4 +1,4 @@
-FROM python:3.9-bullseye
+FROM python:3.11-bullseye
 
 # get portaudio and ffmpeg
 RUN apt-get update \
@@ -15,4 +15,4 @@ RUN poetry config virtualenvs.create false
 RUN poetry install --no-dev --no-interaction --no-ansi
 COPY main.py /code/main.py
 
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "3000"]
\ No newline at end of file
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "3000"]
diff --git a/apps/client_backend/main.py b/apps/client_backend/main.py
index c004d4726a..0495705b01 100644
--- a/apps/client_backend/main.py
+++ b/apps/client_backend/main.py
@@ -1,23 +1,19 @@
-import logging
+from dotenv import load_dotenv
 from fastapi import FastAPI
 
-from vocode.streaming.models.agent import ChatGPTAgentConfig
-from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
-from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
-
+from vocode.logging import configure_pretty_logging
 from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
 from vocode.streaming.client_backend.conversation import ConversationRouter
+from vocode.streaming.models.agent import ChatGPTAgentConfig
 from vocode.streaming.models.message import BaseMessage
-
-from dotenv import load_dotenv
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
 
 load_dotenv()
 
 app = FastAPI(docs_url=None)
 
-logging.basicConfig()
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
+configure_pretty_logging()
 
 conversation_router = ConversationRouter(
     agent_thunk=lambda: ChatGPTAgent(
@@ -31,7 +27,6 @@
             output_audio_config, voice_name="en-US-SteffanNeural"
         )
     ),
-    logger=logger,
 )
 
 app.include_router(conversation_router.get_router())
diff --git a/apps/client_backend/poetry.lock b/apps/client_backend/poetry.lock
index 635531af4f..88921cd39a 100644
--- a/apps/client_backend/poetry.lock
+++ b/apps/client_backend/poetry.lock
@@ -1,119 +1,104 @@
-# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
-version = "3.8.5"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 aiosignal = ">=1.1.2"
-async-timeout = ">=4.0.0a3,<5.0"
 attrs = ">=17.3.0"
-charset-normalizer = ">=2.0,<4.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -125,221 +110,176 @@ files = [
 frozenlist = ">=1.1.0"
 
 [[package]]
-name = "anthropic"
-version = "0.2.10"
-description = "Library for accessing the anthropic API"
-category = "main"
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anthropic-0.2.10-py3-none-any.whl", hash = "sha256:a007496207fd186b0bcb9592b00ca130069d2a427f3d6f602a61dbbd1ac6316e"},
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+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
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-[package.dependencies]
-aiohttp = "*"
-httpx = "*"
-requests = "*"
-tokenizers = "*"
-
-[package.extras]
-dev = ["black (>=22.3.0)", "pytest"]
-
 [[package]]
-name = "anyio"
-version = "3.7.1"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "main"
+name = "anthropic"
+version = "0.28.1"
+description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
-idna = ">=2.8"
-sniffio = ">=1.1"
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+jiter = ">=0.4.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tokenizers = ">=0.13.0"
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 [package.extras]
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-trio = ["trio (<0.22)"]
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+vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
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-category = "main"
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-[[package]]
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-category = "main"
+name = "anyio"
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 optional = false
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 ]
 
 [package.dependencies]
-six = "*"
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+sniffio = ">=1.1"
 
 [package.extras]
-test = ["astroid", "pytest"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
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+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "async-timeout"
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+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
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 ]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
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+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "azure-cognitiveservices-speech"
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 description = "Microsoft Cognitive Services Speech SDK for Python"
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 python-versions = ">=3.7"
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 [package.dependencies]
@@ -347,99 +287,112 @@ pycparser = "*"
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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 optional = false
 python-versions = ">=3.7.0"
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 ]
 
 [[package]]
 name = "click"
-version = "8.1.6"
+version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -449,7 +402,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -458,271 +410,333 @@ files = [
 ]
 
 [[package]]
-name = "dataclasses-json"
-version = "0.5.14"
-description = "Easily serialize dataclasses to and from JSON."
-category = "main"
+name = "deprecated"
+version = "1.2.14"
+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
-python-versions = ">=3.7,<3.13"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
-    {file = "dataclasses_json-0.5.14-py3-none-any.whl", hash = "sha256:5ec6fed642adb1dbdb4182badb01e0861badfd8fda82e3b67f44b2d1e9d10d21"},
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+    {file = "Deprecated-1.2.14-py2.py3-none-any.whl", hash = "sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c"},
+    {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
 ]
 
 [package.dependencies]
-marshmallow = ">=3.18.0,<4.0.0"
-typing-inspect = ">=0.4.0,<1"
+wrapt = ">=1.10,<2"
+
+[package.extras]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 
 [[package]]
-name = "decorator"
-version = "5.1.1"
-description = "Decorators for Humans"
-category = "main"
+name = "distro"
+version = "1.9.0"
+description = "Distro - an OS platform information API"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
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-    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+    {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
+    {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
 [[package]]
-name = "deprecated"
-version = "1.2.14"
-description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-category = "main"
+name = "dnspython"
+version = "2.6.1"
+description = "DNS toolkit"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.8"
 files = [
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-    {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
+    {file = "dnspython-2.6.1-py3-none-any.whl", hash = "sha256:5ef3b9680161f6fa89daf8ad451b5f1a33b18ae8a1c6778cdf4b43f08c0a6e50"},
+    {file = "dnspython-2.6.1.tar.gz", hash = "sha256:e8f0f9c23a7b7cb99ded64e6c3a6f3e701d78f50c55e002b839dea7225cff7cc"},
 ]
 
-[package.dependencies]
-wrapt = ">=1.10,<2"
-
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+tensorflow = ["graphviz", "pydot", "tensorflow"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
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 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "7.1.0"
 description = "Read metadata from Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
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+    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
+    {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
-
-[[package]]
-name = "ipython"
-version = "8.14.0"
-description = "IPython: Productive Interactive Computing"
-category = "main"
-optional = false
-python-versions = ">=3.9"
-files = [
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-]
-
-[package.dependencies]
-appnope = {version = "*", markers = "sys_platform == \"darwin\""}
-backcall = "*"
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
-pickleshare = "*"
-prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
-pygments = ">=2.4.0"
-stack-data = "*"
-traitlets = ">=5"
-typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
-
-[package.extras]
-all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
-black = ["black"]
-doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
-kernel = ["ipykernel"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["ipywidgets", "notebook"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
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+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "janus"
 version = "1.0.0"
 description = "Mixed sync-async queue to interoperate between asyncio tasks and classic threads"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -863,36 +915,15 @@ files = [
 [package.dependencies]
 typing-extensions = ">=3.7.4.3"
 
-[[package]]
-name = "jedi"
-version = "0.19.0"
-description = "An autocompletion tool for Python that can be used for text editors."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-files = [
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-]
-
-[package.dependencies]
-parso = ">=0.8.3,<0.9.0"
-
-[package.extras]
-docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
-qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
-
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
 ]
 
 [package.dependencies]
@@ -901,174 +932,248 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
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 description = "Lightweight pipelining with Python functions"
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 optional = false
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-category = "main"
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 [[package]]
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@@ -1251,334 +1358,360 @@ plot = ["matplotlib"]
 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
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 [[package]]
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 [package.dependencies]
-typing-extensions = ">=4.2.0"
+pydantic = ">=2.7.0"
+python-dotenv = ">=0.21.0"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
 
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 version = "0.25.1"
 description = "Manipulate audio with an simple and easy high level interface"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1588,29 +1721,44 @@ files = [
 
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+version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
-category = "main"
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 [package.extras]
-plugins = ["importlib-metadata"]
+windows-terminal = ["colorama (>=0.4.6)"]
+
+[[package]]
+name = "pyht"
+version = "0.0.28"
+description = ""
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+protobuf = ">=4.24.3,<5.0.0"
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 description = "Read key-value pairs from a .env file and set them as environment variables"
-category = "main"
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 [package.extras]
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 [[package]]
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+version = "0.0.9"
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 optional = false
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 python-versions = ">=3.6"
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 numpy = ["NumPy"]
 
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+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
 ]
 
 [package.dependencies]
@@ -2500,21 +3019,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.16.2"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
-    {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.9,<3.12"
-content-hash = "84c5140bff7f1e824602e3be07fc9eca2a7a65ec67356182ecec9c5c2b7ffe62"
+python-versions = ">=3.11,<3.12"
+content-hash = "1475e90b0391e1ead9a47bda035b9f91f5a4df7b2f9d197864b7c47b6cd6801c"
diff --git a/apps/client_backend/pyproject.toml b/apps/client_backend/pyproject.toml
index 4b3a87d922..5f93319a8c 100644
--- a/apps/client_backend/pyproject.toml
+++ b/apps/client_backend/pyproject.toml
@@ -6,10 +6,10 @@ authors = ["Your Name <you@example.com>"]
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = ">=3.9,<3.12"
-python-dotenv = "^1.0.0"
-vocode = "0.1.111a3"
-elevenlabs = "^0.2.23"
+python = ">=3.11,<3.12"
+python-dotenv = "^1.0.1"
+vocode = "0.1.113"
+elevenlabs = "^1.2.2"
 
 
 [build-system]
diff --git a/apps/langchain_agent/README.md b/apps/langchain_agent/README.md
index 9054cfc8d3..55df9b61ce 100644
--- a/apps/langchain_agent/README.md
+++ b/apps/langchain_agent/README.md
@@ -1,3 +1,3 @@
 # langchain_agent
 
-See https://docs.vocode.dev/langchain-agent for setup steps!
+See https://docs.vocode.dev/open-source/langchain-agent for setup steps!
diff --git a/apps/langchain_agent/call_transcript_utils.py b/apps/langchain_agent/call_transcript_utils.py
index ce0764cf1a..cfbb0d4c76 100644
--- a/apps/langchain_agent/call_transcript_utils.py
+++ b/apps/langchain_agent/call_transcript_utils.py
@@ -5,17 +5,13 @@
 
 
 def add_transcript(conversation_id: str, transcript: str) -> None:
-    transcript_path = os.path.join(
-        CALL_TRANSCRIPTS_DIR, "{}.txt".format(conversation_id)
-    )
+    transcript_path = os.path.join(CALL_TRANSCRIPTS_DIR, "{}.txt".format(conversation_id))
     with open(transcript_path, "a") as f:
         f.write(transcript)
 
 
 def get_transcript(conversation_id: str) -> Optional[str]:
-    transcript_path = os.path.join(
-        CALL_TRANSCRIPTS_DIR, "{}.txt".format(conversation_id)
-    )
+    transcript_path = os.path.join(CALL_TRANSCRIPTS_DIR, "{}.txt".format(conversation_id))
     if os.path.exists(transcript_path):
         with open(transcript_path, "r") as f:
             return f.read()
@@ -23,9 +19,7 @@ def get_transcript(conversation_id: str) -> Optional[str]:
 
 
 def delete_transcript(conversation_id: str) -> bool:
-    transcript_path = os.path.join(
-        CALL_TRANSCRIPTS_DIR, "{}.txt".format(conversation_id)
-    )
+    transcript_path = os.path.join(CALL_TRANSCRIPTS_DIR, "{}.txt".format(conversation_id))
     if os.path.exists(transcript_path):
         os.remove(transcript_path)
         return True
diff --git a/apps/langchain_agent/main.py b/apps/langchain_agent/main.py
index ea76ced6c4..e51e0d0d56 100644
--- a/apps/langchain_agent/main.py
+++ b/apps/langchain_agent/main.py
@@ -1,32 +1,27 @@
 import os
 import sys
 import typing
-from dotenv import load_dotenv
 
+from dotenv import load_dotenv
+from langchain.memory import ConversationBufferMemory
+from stdout_filterer import RedactPhoneNumbers
 from tools.contacts import get_all_contacts
 from tools.vocode import call_phone_number
 from tools.word_of_the_day import word_of_the_day
+
 from vocode.turn_based.synthesizer.azure_synthesizer import AzureSynthesizer
 from vocode.turn_based.synthesizer.gtts_synthesizer import GTTSSynthesizer
-from langchain.memory import ConversationBufferMemory
-
-
-from stdout_filterer import RedactPhoneNumbers
 
 load_dotenv()
 
+from langchain.agents import AgentType, initialize_agent
 from langchain.chat_models import ChatOpenAI
-from langchain.agents import initialize_agent
-from langchain.agents import AgentType
 
 if __name__ == "__main__":
     # Redirect stdout to our custom class
     sys.stdout = typing.cast(typing.TextIO, RedactPhoneNumbers(sys.stdout))
 
-    OBJECTIVE = (
-        input("Objective: ")
-        or "Find a random person in my contacts and tell them a joke"
-    )
+    OBJECTIVE = input("Objective: ") or "Find a random person in my contacts and tell them a joke"
     llm = ChatOpenAI(temperature=0, model_name="gpt-4")  # type: ignore
     memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
     # Logging of LLMChains
diff --git a/apps/langchain_agent/poetry.lock b/apps/langchain_agent/poetry.lock
index af4e852c77..61fc8b8a30 100644
--- a/apps/langchain_agent/poetry.lock
+++ b/apps/langchain_agent/poetry.lock
@@ -1,119 +1,105 @@
-# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
-version = "3.8.5"
+version = "3.9.1"
 description = "Async http client/server framework (asyncio)"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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+    {file = "aiohttp-3.9.1.tar.gz", hash = "sha256:8fc49a87ac269d4529da45871e2ffb6874e87779c3d0e2ccd813c0899221239d"},
 ]
 
 [package.dependencies]
 aiosignal = ">=1.1.2"
-async-timeout = ">=4.0.0a3,<5.0"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
-charset-normalizer = ">=2.0,<4.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
 
 [[package]]
 name = "aiohttp-retry"
 version = "2.8.3"
 description = "Simple retry client for aiohttp"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -128,7 +114,6 @@ aiohttp = "*"
 name = "aiosignal"
 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -143,7 +128,6 @@ frozenlist = ">=1.1.0"
 name = "anthropic"
 version = "0.2.10"
 description = "Library for accessing the anthropic API"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -162,169 +146,152 @@ dev = ["black (>=22.3.0)", "pytest"]
 
 [[package]]
 name = "anyio"
-version = "3.7.1"
+version = "4.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
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-trio = ["trio (<0.22)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.2"
+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
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+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "azure-cognitiveservices-speech"
-version = "1.31.0"
+version = "1.34.1"
 description = "Microsoft Cognitive Services Speech SDK for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "cachetools"
-version = "5.3.1"
+version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "certifi"
-version = "2023.7.22"
+version = "2023.11.17"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
 name = "cffi"
-version = "1.15.1"
+version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
-category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -332,99 +299,112 @@ pycparser = "*"
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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 optional = false
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 ]
 
 [[package]]
 name = "click"
-version = "8.1.6"
+version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -434,7 +414,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -444,55 +423,62 @@ files = [
 
 [[package]]
 name = "cryptography"
-version = "41.0.3"
+version = "42.0.1"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "cryptography-42.0.1.tar.gz", hash = "sha256:fd33f53809bb363cf126bebe7a99d97735988d9b0131a2be59fbf83e1259a5b7"},
 ]
 
 [package.dependencies]
-cffi = ">=1.12"
+cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
 
 [package.extras]
 docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
-docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
+docstest = ["pyenchant (>=1.6.11)", "readme-renderer", "sphinxcontrib-spelling (>=4.0.1)"]
 nox = ["nox"]
-pep8test = ["black", "check-sdist", "mypy", "ruff"]
+pep8test = ["check-sdist", "click", "mypy", "ruff"]
 sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "dataclasses-json"
 version = "0.5.14"
 description = "Easily serialize dataclasses to and from JSON."
-category = "main"
 optional = false
 python-versions = ">=3.7,<3.13"
 files = [
@@ -508,7 +494,6 @@ typing-inspect = ">=0.4.0,<1"
 name = "deprecated"
 version = "1.2.14"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -524,14 +509,13 @@ dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.2"
+version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.1.2-py3-none-any.whl", hash = "sha256:e346e69d186172ca7cf029c8c1d16235aa0e04035e5750b4b95039e65204328f"},
-    {file = "exceptiongroup-1.1.2.tar.gz", hash = "sha256:12c3e887d6485d16943a309616de20ae5582633e0a2eda17f4e10fd61c1e8af5"},
+    {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
+    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
 ]
 
 [package.extras]
@@ -539,119 +523,181 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.95.2"
+version = "0.100.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "fastapi-0.95.2.tar.gz", hash = "sha256:4d9d3e8c71c73f11874bcf5e33626258d143252e329a01002f767306c64fb982"},
+    {file = "fastapi-0.100.1-py3-none-any.whl", hash = "sha256:ec6dd52bfc4eff3063cfcd0713b43c87640fefb2687bbbe3d8a08d94049cdf32"},
+    {file = "fastapi-0.100.1.tar.gz", hash = "sha256:522700d7a469e4a973d92321ab93312448fbe20fca9c8da97effc7e7bc56df23"},
 ]
 
 [package.dependencies]
-pydantic = ">=1.6.2,<1.7 || >1.7,<1.7.1 || >1.7.1,<1.7.2 || >1.7.2,<1.7.3 || >1.7.3,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<3.0.0"
 starlette = ">=0.27.0,<0.28.0"
+typing-extensions = ">=4.5.0"
 
 [package.extras]
-all = ["email-validator (>=1.1.1)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-dev = ["pre-commit (>=2.17.0,<3.0.0)", "ruff (==0.0.138)", "uvicorn[standard] (>=0.12.0,<0.21.0)"]
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+optional = false
+python-versions = ">=3.8"
+files = [
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+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+devel = ["pytest", "pytest-cov"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "google-api-core"
-version = "2.11.1"
+version = "2.15.0"
 description = "Google API client core library"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
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 googleapis-common-protos = ">=1.56.2,<2.0.dev0"
 grpcio = [
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
@@ -663,22 +709,19 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.22.0"
+version = "2.27.0"
 description = "Google Authentication Library"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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+    {file = "google-auth-2.27.0.tar.gz", hash = "sha256:e863a56ccc2d8efa83df7a80272601e43487fa9a728a376205c86c26aaefa821"},
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 ]
 
 [package.dependencies]
 cachetools = ">=2.0.0,<6.0"
 pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
-six = ">=1.9.0"
-urllib3 = "<2.0"
 
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
@@ -689,34 +732,29 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-texttospeech"
-version = "2.14.1"
+version = "2.15.1"
 description = "Google Cloud Texttospeech API client library"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "google-cloud-texttospeech-2.15.1.tar.gz", hash = "sha256:47845e3ad9cefdabaf358947cb196dddea2faa4cdfcaf864a011db821a4deafb"},
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 ]
 
 [package.dependencies]
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-proto-plus = [
-    {version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
-    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
-]
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+proto-plus = ">=1.22.3,<2.0.0dev"
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 [package.extras]
-docs = ["Sphinx", "docutils (<0.18)"]
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 test = ["objgraph", "psutil"]
 
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 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.56.2)"]
+protobuf = ["grpcio-tools (>=1.60.0)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.56.2"
+version = "1.60.0"
 description = "Status proto mapping for gRPC"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "grpcio-status-1.56.2.tar.gz", hash = "sha256:a046b2c0118df4a5687f4585cca9d3c3bae5c498c4dff055dcb43fb06a1180c8"},
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 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.56.2"
+grpcio = ">=1.60.0"
 protobuf = ">=4.21.6"
 
 [[package]]
 name = "h11"
 version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -888,79 +929,108 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "0.17.3"
+version = "1.0.2"
 description = "A minimal low-level HTTP client."
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
 ]
 
 [package.dependencies]
-anyio = ">=3.0,<5.0"
 certifi = "*"
 h11 = ">=0.13,<0.15"
-sniffio = ">=1.0.0,<2.0.0"
 
 [package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.23.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.24.1"
+version = "0.26.0"
 description = "The next generation HTTP client."
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
+anyio = "*"
 certifi = "*"
-httpcore = ">=0.15.0,<0.18.0"
+httpcore = "==1.*"
 idna = "*"
 sniffio = "*"
 
 [package.extras]
 brotli = ["brotli", "brotlicffi"]
-cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<14)"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
+
+[[package]]
+name = "huggingface-hub"
+version = "0.20.3"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = ">=2023.5.0"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
+    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "6.11.0"
 description = "Read metadata from Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
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+    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
+    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
@@ -968,7 +1038,6 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 name = "janus"
 version = "1.0.0"
 description = "Mixed sync-async queue to interoperate between asyncio tasks and classic threads"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -981,14 +1050,13 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.3"
 description = "A very fast and expressive template engine."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
-    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+    {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
+    {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
 ]
 
 [package.dependencies]
@@ -999,21 +1067,19 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.1"
+version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "joblib-1.3.1-py3-none-any.whl", hash = "sha256:89cf0529520e01b3de7ac7b74a8102c90d16d54c64b5dd98cafcd14307fdf915"},
-    {file = "joblib-1.3.1.tar.gz", hash = "sha256:1f937906df65329ba98013dc9692fe22a4c5e4a648112de500508b18a21b41e3"},
+    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
+    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
 ]
 
 [[package]]
 name = "langchain"
 version = "0.0.198"
 description = "Building applications with LLMs through composability"
-category = "main"
 optional = false
 python-versions = ">=3.8.1,<4.0"
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@@ -1051,7 +1117,6 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
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 version = "0.0.20"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 [[package]]
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 ]
 
 [[package]]
 name = "marshmallow"
-version = "3.20.1"
+version = "3.20.2"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 packaging = ">=17.0"
 
 [package.extras]
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-lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
+dev = ["pre-commit (>=2.4,<4.0)", "pytest", "pytz", "simplejson", "tox"]
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+lint = ["pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
 name = "miniaudio"
 version = "1.59"
 description = "python bindings for the miniaudio library and its decoders (mp3, flac, ogg vorbis, wav)"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1214,7 +1286,6 @@ cffi = ">=1.12.0"
 name = "multidict"
 version = "6.0.4"
 description = "multidict implementation"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1298,7 +1369,6 @@ files = [
 name = "mypy-extensions"
 version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -1310,7 +1380,6 @@ files = [
 name = "nltk"
 version = "3.8.1"
 description = "Natural Language Toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1334,42 +1403,40 @@ twitter = ["twython"]
 
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 name = "numexpr"
-version = "2.8.5"
+version = "2.8.8"
 description = "Fast numerical expression evaluator for NumPy"
-category = "main"
 optional = false
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 ]
 
 [package.dependencies]
@@ -1377,49 +1444,58 @@ numpy = ">=1.13.3"
 
 [[package]]
 name = "numpy"
-version = "1.25.2"
+version = "1.26.3"
 description = "Fundamental package for array computing in Python"
-category = "main"
 optional = false
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+version = "0.27.10"
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 [package.dependencies]
@@ -1429,7 +1505,7 @@ tqdm = "*"
 
 [package.extras]
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-dev = ["black (>=21.6b0,<22.0)", "pytest (>=6.0.0,<7.0.0)", "pytest-asyncio", "pytest-mock"]
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 embeddings = ["matplotlib", "numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "plotly", "scikit-learn (>=1.0.2)", "scipy", "tenacity (>=8.0.1)"]
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@@ -1437,7 +1513,6 @@ wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1
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 python-versions = ">=3.6.1"
 files = [
@@ -1450,14 +1525,13 @@ pydantic = ">=1.8.2"
 
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+version = "1.22.0"
 description = "OpenTelemetry Python API"
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 [package.dependencies]
@@ -1466,55 +1540,51 @@ importlib-metadata = ">=6.0,<7.0"
 
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 typing-extensions = ">=3.7.4"
 
 [[package]]
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 name = "packaging"
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+version = "23.2"
 description = "Core utilities for Python packages"
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 [[package]]
 name = "proto-plus"
-version = "1.22.3"
+version = "1.23.0"
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 optional = false
 python-versions = ">=3.6"
 files = [
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 [package.dependencies]
@@ -1525,44 +1595,39 @@ testing = ["google-api-core[grpc] (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "4.23.4"
+version = "4.25.2"
 description = ""
-category = "main"
 optional = false
-python-versions = ">=3.7"
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 [package.dependencies]
@@ -1642,7 +1705,6 @@ email = ["email-validator (>=1.0.3)"]
 name = "pydub"
 version = "0.25.1"
 description = "Manipulate audio with an simple and easy high level interface"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1654,7 +1716,6 @@ files = [
 name = "pyjwt"
 version = "2.8.0"
 description = "JSON Web Token implementation in Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1673,14 +1734,13 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.0"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1690,7 +1750,6 @@ cli = ["click (>=5.0)"]
 name = "python-multipart"
 version = "0.0.6"
 description = "A streaming multipart parser for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
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 [[package]]
 name = "pytz"
-version = "2023.3"
+version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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 version = "6.0.1"
 description = "YAML parser and emitter for Python"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -1767,7 +1824,6 @@ files = [
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 version = "4.6.0"
 description = "Python client for Redis database and key-value store"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1784,107 +1840,110 @@ ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"
 
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 description = "Alternative regular expression module, to replace re."
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 name = "requests"
 version = "2.31.0"
 description = "Python HTTP for Humans."
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 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1906,7 +1965,6 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 name = "rsa"
 version = "4.9"
 description = "Pure-Python RSA implementation"
-category = "main"
 optional = false
 python-versions = ">=3.6,<4"
 files = [
@@ -1919,46 +1977,50 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
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 description = "Fundamental algorithms for scientific computing in Python"
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 ]
 
 [package.dependencies]
-numpy = ">=1.21.6,<1.28.0"
+numpy = ">=1.22.4,<1.29.0"
 
 [package.extras]
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+test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
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 description = "Python 2 and 3 compatibility utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 files = [
@@ -1970,7 +2032,6 @@ files = [
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 version = "1.3.0"
 description = "Sniff out which async library your code is running under"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1982,7 +2043,6 @@ files = [
 name = "sounddevice"
 version = "0.4.6"
 description = "Play and Record Sound with Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2001,80 +2061,88 @@ numpy = ["NumPy"]
 
 [[package]]
 name = "speechrecognition"
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+version = "3.10.1"
 description = "Library for performing speech recognition, with support for several engines and APIs, online and offline."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 requests = ">=2.26.0"
+typing-extensions = "*"
 
 [package.extras]
 whisper-api = ["openai"]
 
 [[package]]
 name = "sqlalchemy"
-version = "2.0.19"
+version = "2.0.25"
 description = "Database Abstraction Library"
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 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
 greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
-typing-extensions = ">=4.2.0"
+typing-extensions = ">=4.6.0"
 
 [package.extras]
-aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
+aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
@@ -2084,7 +2152,7 @@ mssql-pyodbc = ["pyodbc"]
 mypy = ["mypy (>=0.910)"]
 mysql = ["mysqlclient (>=1.4.0)"]
 mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=7)"]
+oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
@@ -2094,13 +2162,12 @@ postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
 postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
+sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "starlette"
 version = "0.27.0"
 description = "The little ASGI library that shines."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2117,14 +2184,13 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyam
 
 [[package]]
 name = "tenacity"
-version = "8.2.2"
+version = "8.2.3"
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 [package.extras]
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+[package.dependencies]
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+
 [package.extras]
-dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
-docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+dev = ["tokenizers[testing]"]
+docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
 [[package]]
 name = "tqdm"
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+version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
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+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
 [[package]]
 name = "twilio"
-version = "8.5.0"
+version = "8.12.0"
 description = "Twilio API client and TwiML generator"
-category = "main"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 aiohttp-retry = ">=2.8.3"
 PyJWT = ">=2.0.0,<3.0.0"
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 requests = ">=2.0.0"
 
 [[package]]
 name = "typing-extensions"
-version = "4.7.1"
-description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
+version = "4.9.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "typing-inspect"
 version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2255,26 +2388,24 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "urllib3"
-version = "1.26.16"
+version = "2.1.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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 files = [
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 [package.extras]
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-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
 version = "0.21.1"
 description = "The lightning-fast ASGI server."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2291,21 +2422,20 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
 
 [[package]]
 name = "vocode"
-version = "0.1.111a3"
+version = "0.1.111"
 description = "The all-in-one voice SDK"
-category = "main"
 optional = false
 python-versions = ">=3.8.1,<3.12"
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 janus = ">=1.0.0,<2.0.0"
 jinja2 = ">=3.1.2,<4.0.0"
 langchain = ">=0.0.198,<0.0.199"
@@ -2333,33 +2463,31 @@ transcribers = ["google-cloud-speech (>=2.19.0,<3.0.0)"]
 
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 name = "vonage"
-version = "3.7.1"
+version = "3.12.0"
 description = "Vonage Server SDK for Python"
-category = "main"
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 name = "vonage-jwt"
-version = "1.0.0"
+version = "1.1.0"
 description = "A JWT Generator for Python. Creates JWTs for use with Vonage APIs."
-category = "main"
 optional = false
 python-versions = ">=3.7"
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 name = "websockets"
 version = "11.0.3"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
 ]
 
 [package.dependencies]
@@ -2620,21 +2756,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.16.2"
+version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
-    {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "2a2e8e66123682eb4aea4385f4b19b294d24cf99708bca75311052d8d1171eed"
+content-hash = "2aedce8bfb57f01f943251e7ea5d3c82cdd06f29115a81ec8596881ae0c43396"
diff --git a/apps/langchain_agent/pyproject.toml b/apps/langchain_agent/pyproject.toml
index cde5b7ad2c..b1e3f8b1c3 100644
--- a/apps/langchain_agent/pyproject.toml
+++ b/apps/langchain_agent/pyproject.toml
@@ -11,7 +11,7 @@ redis = "^4.5.4"
 twilio = "^8.1.0"
 vonage = "^3.5.1"
 python-dotenv = "^1.0.0"
-vocode = "0.1.111a3"
+vocode = "0.1.111"
 google-cloud-texttospeech = "^2.14.1"
 
 
diff --git a/apps/langchain_agent/telephony_app.py b/apps/langchain_agent/telephony_app.py
index 3dc6edcfb0..3c4a5a15f5 100644
--- a/apps/langchain_agent/telephony_app.py
+++ b/apps/langchain_agent/telephony_app.py
@@ -1,19 +1,16 @@
 import logging
 import os
 import typing
+
+from call_transcript_utils import add_transcript
+from dotenv import load_dotenv
 from fastapi import FastAPI
+
 from vocode.streaming.models.events import Event, EventType
 from vocode.streaming.models.transcript import TranscriptCompleteEvent
-from vocode.streaming.utils import events_manager
-
-from vocode.streaming.telephony.config_manager.redis_config_manager import (
-    RedisConfigManager,
-)
+from vocode.streaming.telephony.config_manager.redis_config_manager import RedisConfigManager
 from vocode.streaming.telephony.server.base import TelephonyServer
-
-from call_transcript_utils import add_transcript
-
-from dotenv import load_dotenv
+from vocode.streaming.utils import events_manager
 
 load_dotenv()
 
diff --git a/apps/langchain_agent/tools/contacts.py b/apps/langchain_agent/tools/contacts.py
index 5c36970dc4..06fe25bfd6 100644
--- a/apps/langchain_agent/tools/contacts.py
+++ b/apps/langchain_agent/tools/contacts.py
@@ -1,4 +1,5 @@
 from typing import List
+
 from langchain.agents import tool
 
 CONTACTS = [{"name": "Ajay", "phone": "+15555555555"}]
diff --git a/apps/langchain_agent/tools/vocode.py b/apps/langchain_agent/tools/vocode.py
index 480dda581e..2dedd2ae93 100644
--- a/apps/langchain_agent/tools/vocode.py
+++ b/apps/langchain_agent/tools/vocode.py
@@ -1,24 +1,25 @@
-import logging
 import asyncio
+import logging
 import os
-from langchain.agents import tool
+
+from call_transcript_utils import delete_transcript, get_transcript
 from dotenv import load_dotenv
+from langchain.agents import tool
 
 from vocode.streaming.models.message import BaseMessage
-from call_transcript_utils import delete_transcript, get_transcript
 
 load_dotenv()
 
-from vocode.streaming.telephony.conversation.outbound_call import OutboundCall
-from vocode.streaming.telephony.config_manager.redis_config_manager import (
-    RedisConfigManager,
-)
-from vocode.streaming.models.agent import ChatGPTAgentConfig
 import time
 
+from vocode.streaming.models.agent import ChatGPTAgentConfig
+from vocode.streaming.telephony.config_manager.redis_config_manager import RedisConfigManager
+from vocode.streaming.telephony.conversation.outbound_call import OutboundCall
+
 LOOP = asyncio.new_event_loop()
 asyncio.set_event_loop(LOOP)
 
+
 @tool("call phone number")
 def call_phone_number(input: str) -> str:
     """calls a phone number as a bot and returns a transcript of the conversation.
diff --git a/apps/langchain_agent/tools/word_of_the_day.py b/apps/langchain_agent/tools/word_of_the_day.py
index a7979633cb..4e394f00ea 100644
--- a/apps/langchain_agent/tools/word_of_the_day.py
+++ b/apps/langchain_agent/tools/word_of_the_day.py
@@ -1,6 +1,7 @@
 from typing import List
-from langchain.agents import tool
+
 import requests
+from langchain.agents import tool
 
 WORDNIK_URL_WITH_KEY = "https://api.wordnik.com/v4/words.json/wordOfTheDay?api_key=d52b63b6880f17811310d0fbd3b0d3a8ef163a248f58dc831"
 
diff --git a/apps/livekit/.env.example b/apps/livekit/.env.example
new file mode 100644
index 0000000000..fe31a9d9b4
--- /dev/null
+++ b/apps/livekit/.env.example
@@ -0,0 +1,6 @@
+LIVEKIT_API_KEY=your_livekit_api_key
+LIVEKIT_API_SECRET=your_livekit_api_secret
+LIVEKIT_WS_URL=your_livekit_ws_url
+OPENAI_API_KEY=your_openai_api_key
+DEEPGRAM_API_KEY=your_deepgram_api_key
+ELEVENLABS_API_KEY=your_elevenlabs_api_key
\ No newline at end of file
diff --git a/apps/livekit/README.md b/apps/livekit/README.md
new file mode 100644
index 0000000000..eaed5defce
--- /dev/null
+++ b/apps/livekit/README.md
@@ -0,0 +1,3 @@
+```
+poetry run python app.py dev
+```
diff --git a/apps/livekit/app.py b/apps/livekit/app.py
new file mode 100644
index 0000000000..6ae788f3f6
--- /dev/null
+++ b/apps/livekit/app.py
@@ -0,0 +1,107 @@
+import asyncio
+import os
+
+from livekit.agents import JobContext, JobRequest, WorkerOptions, cli
+from loguru import logger
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+from vocode.logging import configure_pretty_logging
+from vocode.streaming.action.end_conversation import EndConversationVocodeActionConfig
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.livekit.livekit_conversation import LiveKitConversation
+from vocode.streaming.models.actions import (
+    PhraseBasedActionTrigger,
+    PhraseBasedActionTriggerConfig,
+    PhraseTrigger,
+)
+from vocode.streaming.models.agent import ChatGPTAgentConfig
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.streaming.models.transcriber import (
+    DeepgramTranscriberConfig,
+    PunctuationEndpointingConfig,
+)
+from vocode.streaming.output_device.livekit_output_device import LiveKitOutputDevice
+from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
+from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
+
+
+class Settings(BaseSettings):
+
+    livekit_api_key: str = "ENTER_YOUR_LIVE_KIT_API_KEY"
+    livekit_api_secret: str = "ENTER_YOUR_LIVE_KIT_API_SECRET"
+    livekit_ws_url: str = "ENTER_YOUR_LIVE_KIT_WS_URL"
+
+    # This means a .env file can be used to overload these settings
+    # ex: "OPENAI_API_KEY=my_key" will set openai_api_key over the default above
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+        extra="ignore",
+    )
+
+
+async def wait_for_termination(conversation: LiveKitConversation, ctx: JobContext):
+    await conversation.wait_for_termination()
+    await conversation.terminate()
+    await ctx.room.disconnect()
+
+
+async def entrypoint(ctx: JobContext):
+    configure_pretty_logging()
+    output_device = LiveKitOutputDevice()
+    conversation = LiveKitConversation(
+        output_device=output_device,
+        transcriber=DeepgramTranscriber(
+            DeepgramTranscriberConfig.from_livekit_input_device(
+                endpointing_config=PunctuationEndpointingConfig(),
+                api_key=os.getenv("DEEPGRAM_API_KEY"),
+            ),
+        ),
+        agent=ChatGPTAgent(
+            ChatGPTAgentConfig(
+                openai_api_key=os.getenv("OPENAI_API_KEY"),
+                initial_message=BaseMessage(text="What up"),
+                prompt_preamble="""The AI is having a pleasant conversation about life""",
+                actions=[
+                    EndConversationVocodeActionConfig(
+                        action_trigger=PhraseBasedActionTrigger(
+                            config=PhraseBasedActionTriggerConfig(
+                                phrase_triggers=[
+                                    PhraseTrigger(
+                                        phrase="goodbye",
+                                        conditions=["phrase_condition_type_contains"],
+                                    )
+                                ]
+                            )
+                        )
+                    )
+                ],
+            )
+        ),
+        synthesizer=AzureSynthesizer(
+            synthesizer_config=AzureSynthesizerConfig.from_output_device(
+                output_device=output_device,
+                voice_name="en-US-AriaNeural",
+            )
+        ),
+    )
+    await conversation.start_room(ctx.room)
+    asyncio.create_task(wait_for_termination(conversation, ctx))
+
+
+async def request_fnc(req: JobRequest) -> None:
+    logger.info("received request %s", req)
+    await req.accept(entrypoint)
+
+
+if __name__ == "__main__":
+    settings = Settings()
+    cli.run_app(
+        WorkerOptions(
+            request_fnc,
+            api_key=settings.livekit_api_key,
+            api_secret=settings.livekit_api_secret,
+            ws_url=settings.livekit_ws_url,
+        )
+    )
diff --git a/apps/livekit/poetry.lock b/apps/livekit/poetry.lock
new file mode 100644
index 0000000000..dab30f5a85
--- /dev/null
+++ b/apps/livekit/poetry.lock
@@ -0,0 +1,3176 @@
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.9.5"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
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+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6ad6d10ed9b67a382b45f29ea028f92d25bc0bc1daf6c5b801b90b5aa70fb9ec"},
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+    {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
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+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[[package]]
+name = "zipp"
+version = "3.19.2"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
+]
+
+[package.extras]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.11"
+content-hash = "c171c0e6df0154a167d177a217e9850f7ed13c8ffb36877702fb702aa700b7d4"
diff --git a/apps/livekit/pyproject.toml b/apps/livekit/pyproject.toml
new file mode 100644
index 0000000000..ab8f3bac46
--- /dev/null
+++ b/apps/livekit/pyproject.toml
@@ -0,0 +1,19 @@
+[tool.poetry]
+name = "livekit_app"
+version = "0.1.0"
+description = ""
+authors = ["Your Name <you@example.com>"]
+readme = "README.md"
+package-mode = false
+
+[tool.poetry.dependencies]
+python = "^3.11"
+livekit = "^0.11.1"
+livekit-api = "^0.5.0"
+vocode = { path = "../..", develop = true }
+livekit-agents = "^0.7.2"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/apps/telegram_bot/Dockerfile b/apps/telegram_bot/Dockerfile
index 4d63119eb6..afc3fc334b 100644
--- a/apps/telegram_bot/Dockerfile
+++ b/apps/telegram_bot/Dockerfile
@@ -1,4 +1,4 @@
-FROM python:3.11
+FROM python:3.9-bullseye
 
 # get portaudio and ffmpeg
 RUN apt-get update \
diff --git a/apps/telegram_bot/main.py b/apps/telegram_bot/main.py
index 1b77078c1a..eee626a0aa 100644
--- a/apps/telegram_bot/main.py
+++ b/apps/telegram_bot/main.py
@@ -1,32 +1,31 @@
+import inspect
 import io
+import logging
 import os
 import pickle
-import logging
-import inspect
 from collections import defaultdict
-from pydantic import BaseModel
-from typing import Tuple, Union, Optional, Dict, Type, List
+from typing import Dict, List, Optional, Tuple, Type, Union
+
+from dotenv import load_dotenv
+from pydantic.v1 import BaseModel
 from pydub import AudioSegment
 from telegram import Update
-from telegram.ext import (
-    ApplicationBuilder,
-    ContextTypes,
-    CommandHandler,
-    MessageHandler,
-    filters,
-)
-from vocode.turn_based.transcriber import WhisperTranscriber, BaseTranscriber
-from vocode.turn_based.agent import ChatGPTAgent, BaseAgent
+from telegram.ext import ApplicationBuilder, CommandHandler, ContextTypes, MessageHandler, filters
+
+from vocode.turn_based.agent import BaseAgent, ChatGPTAgent
 from vocode.turn_based.synthesizer import (
+    AzureSynthesizer,
+    BaseSynthesizer,
     CoquiSynthesizer,
-    StreamElementsSynthesizer,
+    CoquiTTSSynthesizer,
     ElevenLabsSynthesizer,
     PlayHtSynthesizer,
-    AzureSynthesizer,
-    CoquiTTSSynthesizer,
     RimeSynthesizer,
-    BaseSynthesizer,
+    StreamElementsSynthesizer,
 )
+from vocode.turn_based.transcriber import BaseTranscriber, WhisperTranscriber
+
+load_dotenv()
 
 logging.basicConfig(
     format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", level=logging.INFO
@@ -46,7 +45,7 @@
 # Required environment variables containing API key: OPENAI_API_KEY, TELEGRAM_BOT_KEY, and your Vocode synthesizers classes corresponding API key variable
 
 # Your chosen synthesizer provider's corresponding Vocode turn_based class instance
-SYNTH = CoquiSynthesizer(use_xtts=True)
+SYNTH = AzureSynthesizer(voice_name="en-US-SteffanNeural")
 
 # Instructions to the language model responsible for generating response transcript.
 SYSTEM_PROMPT = "You are having a voice-to-voice conversation with a user. Always pretend you are a real human. Do not avoid or decline to answer questions because you are not human."
@@ -66,9 +65,7 @@
     supported_classes
 ), "supported_classes must match the keys of voice_attr_of!"
 
-assert (
-    type(SYNTH) in voice_attr_of.keys()
-), "Synthesizer class must be one of the supported ones!"
+assert type(SYNTH) in voice_attr_of.keys(), "Synthesizer class must be one of the supported ones!"
 # Check voice_attr_of is correct by asserting all classes have their corresponding value as a parameter in the init function
 for key, value in voice_attr_of.items():
     assert value in inspect.signature(key.__init__).parameters
@@ -76,18 +73,20 @@
 
 # Define a Voice model with id, name and description fields
 class Voice(BaseModel):
-  id: Optional[str] = None # Optional id for the voice
-  name: Optional[str] = None # Optional name for the voice
-  description: Optional[str] = None # Optional description for the voice
+    id: Optional[str] = None  # Optional id for the voice
+    name: Optional[str] = None  # Optional name for the voice
+    description: Optional[str] = None  # Optional description for the voice
+
 
 # Array of tuples (synthesizer's voice id, nickname, description if text to voice)
 DEFAULT_VOICES: List[Voice] = [Voice(id=None, name="Coqui Default", description=None)]
 
+
 # Define a Chat model with voices, current_voice and current_conversation fields
 class Chat(BaseModel):
-    voices: List[Voice] = DEFAULT_VOICES # List of available voices for the chat
-    current_voice: Voice = DEFAULT_VOICES[0] # Current voice for the chat
-    current_conversation: Optional[bytes] = None # Current conversation as a pickled object
+    voices: List[Voice] = DEFAULT_VOICES  # List of available voices for the chat
+    current_voice: Voice = DEFAULT_VOICES[0]  # Current voice for the chat
+    current_conversation: Optional[bytes] = None  # Current conversation as a pickled object
 
 
 class VocodeBotResponder:
@@ -95,14 +94,13 @@ def __init__(
         self,
         transcriber: BaseTranscriber,
         system_prompt: str,
-        synthesizer: BaseSynthesizer
+        synthesizer: BaseSynthesizer,
     ) -> None:
         self.transcriber = transcriber
         self.system_prompt = system_prompt
         self.synthesizer = synthesizer
         self.db: Dict[int, Chat] = defaultdict(Chat)
 
-
     def get_agent(self, chat_id: int) -> ChatGPTAgent:
         # Get current voice name and description from DB
         user = self.db[chat_id]
@@ -148,7 +146,8 @@ async def get_response(
             setattr(self.synthesizer, voice_attr_of[type(self.synthesizer)], voice_id)
 
         # Synthesize response
-        synth_response = await self.synthesizer.async_synthesize(agent_response)
+        # TODO make async
+        synth_response = self.synthesizer.synthesize(agent_response)
 
         # Save conversation to DB
         self.db[chat_id].current_conversation = pickle.dumps(agent.memory)
@@ -171,9 +170,7 @@ async def handle_telegram_message(
         chat_id = update.effective_chat.id
         # Accept text or voice messages
         if update.message and update.message.voice:
-            user_telegram_voice = await context.bot.get_file(
-                update.message.voice.file_id
-            )
+            user_telegram_voice = await context.bot.get_file(update.message.voice.file_id)
             bytes = await user_telegram_voice.download_as_bytearray()
             # convert audio bytes to numpy array
             input = AudioSegment.from_file(
@@ -194,9 +191,7 @@ async def handle_telegram_message(
         agent_response, synth_response = await self.get_response(int(chat_id), input)
         out_voice = io.BytesIO()
         synth_response.export(out_f=out_voice, format="ogg", codec="libopus")  # type: ignore
-        await context.bot.send_message(
-            chat_id=update.effective_chat.id, text=agent_response
-        )
+        await context.bot.send_message(chat_id=update.effective_chat.id, text=agent_response)
         await context.bot.send_voice(chat_id=str(chat_id), voice=out_voice)
 
     async def handle_telegram_select_voice(
@@ -223,9 +218,7 @@ async def handle_telegram_select_voice(
             self.db[chat_id].current_voice = user_voices[new_voice_id]
             # Reset conversation
             self.db[chat_id].current_conversation = None
-            await context.bot.send_message(
-                chat_id=chat_id, text="Voice changed successfully!"
-            )
+            await context.bot.send_message(chat_id=chat_id, text="Voice changed successfully!")
 
     async def handle_telegram_create_voice(
         self, update: Update, context: ContextTypes.DEFAULT_TYPE
@@ -254,9 +247,7 @@ async def handle_telegram_create_voice(
         # Reset conversation
         self.db[chat_id].current_conversation = None
 
-        await context.bot.send_message(
-            chat_id=chat_id, text="Voice changed successfully!"
-        )
+        await context.bot.send_message(chat_id=chat_id, text="Voice changed successfully!")
 
     async def handle_telegram_list_voices(
         self, update: Update, context: ContextTypes.DEFAULT_TYPE
@@ -275,9 +266,7 @@ async def handle_telegram_list_voices(
             chat_id=chat_id, text=f"Available voices:\n{voices_formatted}"
         )
 
-    async def handle_telegram_who(
-        self, update: Update, context: ContextTypes.DEFAULT_TYPE
-    ) -> None:
+    async def handle_telegram_who(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
         assert update.effective_chat, "Chat must be defined!"
         chat_id = update.effective_chat.id
         current_voice = self.db[chat_id].current_voice
@@ -302,7 +291,7 @@ async def handle_telegram_help(
 - Use /help to see this help message again.
 """
         assert update.effective_chat, "Chat must be defined!"
-        if isinstance(self.synthesizer, CoquiSynthesizer): 
+        if isinstance(self.synthesizer, CoquiSynthesizer):
             help_text += "\n- Use /create <voice_description> to create a new Coqui voice from a text prompt and switch to it."
         await context.bot.send_message(chat_id=update.effective_chat.id, text=help_text)
 
@@ -322,15 +311,11 @@ async def handle_telegram_unknown_cmd(
     voco = VocodeBotResponder(transcriber, SYSTEM_PROMPT, SYNTH)
     application = ApplicationBuilder().token(os.environ["TELEGRAM_BOT_KEY"]).build()
     application.add_handler(CommandHandler("start", voco.handle_telegram_start))
-    application.add_handler(
-        MessageHandler(~filters.COMMAND, voco.handle_telegram_message)
-    )
+    application.add_handler(MessageHandler(~filters.COMMAND, voco.handle_telegram_message))
     application.add_handler(CommandHandler("create", voco.handle_telegram_create_voice))
     application.add_handler(CommandHandler("voice", voco.handle_telegram_select_voice))
     application.add_handler(CommandHandler("list", voco.handle_telegram_list_voices))
     application.add_handler(CommandHandler("who", voco.handle_telegram_who))
     application.add_handler(CommandHandler("help", voco.handle_telegram_help))
-    application.add_handler(
-        MessageHandler(filters.COMMAND, voco.handle_telegram_unknown_cmd)
-    )
+    application.add_handler(MessageHandler(filters.COMMAND, voco.handle_telegram_unknown_cmd))
     application.run_polling()
diff --git a/apps/telegram_bot/poetry.lock b/apps/telegram_bot/poetry.lock
index 8bdbbb870f..1fe44c91c5 100644
--- a/apps/telegram_bot/poetry.lock
+++ b/apps/telegram_bot/poetry.lock
@@ -1,134 +1,105 @@
-# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
-version = "3.8.4"
+version = "3.9.1"
 description = "Async http client/server framework (asyncio)"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "aiohttp-3.8.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5ce45967538fb747370308d3145aa68a074bdecb4f3a300869590f725ced69c1"},
-    {file = "aiohttp-3.8.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b744c33b6f14ca26b7544e8d8aadff6b765a80ad6164fb1a430bbadd593dfb1a"},
-    {file = "aiohttp-3.8.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1a45865451439eb320784918617ba54b7a377e3501fb70402ab84d38c2cd891b"},
-    {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a86d42d7cba1cec432d47ab13b6637bee393a10f664c425ea7b305d1301ca1a3"},
-    {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee3c36df21b5714d49fc4580247947aa64bcbe2939d1b77b4c8dcb8f6c9faecc"},
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-    {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c844fd628851c0bc309f3c801b3a3d58ce430b2ce5b359cd918a5a76d0b20cb5"},
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-    {file = "aiohttp-3.8.4-cp310-cp310-win32.whl", hash = "sha256:59f029a5f6e2d679296db7bee982bb3d20c088e52a2977e3175faf31d6fb75d1"},
-    {file = "aiohttp-3.8.4-cp310-cp310-win_amd64.whl", hash = "sha256:fe7ba4a51f33ab275515f66b0a236bcde4fb5561498fe8f898d4e549b2e4509f"},
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 ]
 
 [package.dependencies]
 aiosignal = ">=1.1.2"
-async-timeout = ">=4.0.0a3,<5.0"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
-charset-normalizer = ">=2.0,<4.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
-
-[[package]]
-name = "aiohttp-retry"
-version = "2.8.3"
-description = "Simple retry client for aiohttp"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
-[package.dependencies]
-aiohttp = "*"
+speedups = ["Brotli", "aiodns", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -141,14 +112,13 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "anthropic"
-version = "0.2.9"
+version = "0.2.10"
 description = "Library for accessing the anthropic API"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "anthropic-0.2.10.tar.gz", hash = "sha256:e4da061a86d8ffb86072c0b0feaf219a3a4f7dfddd4224df9ba769e469498c19"},
 ]
 
 [package.dependencies]
@@ -162,147 +132,100 @@ dev = ["black (>=22.3.0)", "pytest"]
 
 [[package]]
 name = "anyio"
-version = "3.7.0"
+version = "4.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
 ]
 
 [package.dependencies]
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=6.1.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme", "sphinxcontrib-jquery"]
-test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (<0.22)"]
-
-[[package]]
-name = "appnope"
-version = "0.1.3"
-description = "Disable App Nap on macOS >= 10.9"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[[package]]
-name = "asttokens"
-version = "2.2.1"
-description = "Annotate AST trees with source code positions"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[package.dependencies]
-six = "*"
-
-[package.extras]
-test = ["astroid", "pytest"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.2"
+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
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+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
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 platformdirs = ">=2"
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 ]
 
 [package.dependencies]
@@ -421,99 +320,112 @@ pycparser = "*"
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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 optional = false
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 ]
 
 [[package]]
 name = "click"
-version = "8.1.3"
+version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
 ]
 
 [package.dependencies]
@@ -523,7 +435,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -533,41 +444,23 @@ files = [
 
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-category = "main"
+version = "0.5.14"
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-
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@@ -582,426 +475,250 @@ wrapt = ">=1.10,<2"
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-protobuf = ["grpcio-tools (>=1.54.2)"]
-
-[[package]]
-name = "grpcio-status"
-version = "1.54.2"
-description = "Status proto mapping for gRPC"
-category = "main"
-optional = false
-python-versions = ">=3.6"
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-[package.dependencies]
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-protobuf = ">=4.21.6"
-
-[[package]]
-name = "gtts"
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-category = "main"
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-[package.dependencies]
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-[package.extras]
-docs = ["sphinx", "sphinx-autobuild", "sphinx-click", "sphinx-mdinclude", "sphinx-rtd-theme"]
-tests = ["pytest (>=7.1.3,<7.2.0)", "pytest-cov", "testfixtures"]
+docs = ["Sphinx", "furo"]
+test = ["objgraph", "psutil"]
 
 [[package]]
 name = "h11"
 version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1011,126 +728,115 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "0.17.2"
+version = "1.0.2"
 description = "A minimal low-level HTTP client."
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
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 [package.dependencies]
-anyio = ">=3.0,<5.0"
 certifi = "*"
 h11 = ">=0.13,<0.15"
-sniffio = ">=1.0.0,<2.0.0"
 
 [package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.23.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.24.1"
+version = "0.25.2"
 description = "The next generation HTTP client."
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
+anyio = "*"
 certifi = "*"
-httpcore = ">=0.15.0,<0.18.0"
+httpcore = "==1.*"
 idna = "*"
 sniffio = "*"
 
 [package.extras]
 brotli = ["brotli", "brotlicffi"]
-cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<14)"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
+
+[[package]]
+name = "huggingface-hub"
+version = "0.20.3"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+
+[package.dependencies]
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+fsspec = ">=2023.5.0"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
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+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
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-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
+    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.0.1"
+version = "6.11.0"
 description = "Read metadata from Python packages"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
+    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
-
-[[package]]
-name = "ipython"
-version = "8.13.2"
-description = "IPython: Productive Interactive Computing"
-category = "main"
-optional = false
-python-versions = ">=3.9"
-files = [
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-]
-
-[package.dependencies]
-appnope = {version = "*", markers = "sys_platform == \"darwin\""}
-backcall = "*"
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
-pickleshare = "*"
-prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
-pygments = ">=2.4.0"
-stack-data = "*"
-traitlets = ">=5"
-
-[package.extras]
-all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
-black = ["black"]
-doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
-kernel = ["ipykernel"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["ipywidgets", "notebook"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
 [[package]]
 name = "janus"
 version = "1.0.0"
 description = "Mixed sync-async queue to interoperate between asyncio tasks and classic threads"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1141,36 +847,15 @@ files = [
 [package.dependencies]
 typing-extensions = ">=3.7.4.3"
 
-[[package]]
-name = "jedi"
-version = "0.18.2"
-description = "An autocompletion tool for Python that can be used for text editors."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "jedi-0.18.2-py2.py3-none-any.whl", hash = "sha256:203c1fd9d969ab8f2119ec0a3342e0b49910045abe6af0a3ae83a5764d54639e"},
-    {file = "jedi-0.18.2.tar.gz", hash = "sha256:bae794c30d07f6d910d32a7048af09b5a39ed740918da923c6b780790ebac612"},
-]
-
-[package.dependencies]
-parso = ">=0.8.0,<0.9.0"
-
-[package.extras]
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-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
-
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.3"
 description = "A very fast and expressive template engine."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1181,166 +866,225 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.2.0"
+version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "langchain"
-version = "0.0.149"
+version = "0.0.198"
 description = "Building applications with LLMs through composability"
-category = "main"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 dataclasses-json = ">=0.5.7,<0.6.0"
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 numexpr = ">=2.8.4,<3.0.0"
 numpy = ">=1,<2"
 openapi-schema-pydantic = ">=1.2,<2.0"
 pydantic = ">=1,<2"
 PyYAML = ">=5.4.1"
 requests = ">=2,<3"
-SQLAlchemy = ">1.3,<3"
+SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
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 ]
 
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 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 ]
 
 [package.dependencies]
 packaging = ">=17.0"
 
 [package.extras]
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-lint = ["flake8 (==5.0.4)", "flake8-bugbear (==22.10.25)", "mypy (==0.990)", "pre-commit (>=2.4,<3.0)"]
+dev = ["pre-commit (>=2.4,<4.0)", "pytest", "pytz", "simplejson", "tox"]
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+lint = ["pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
-name = "marshmallow-enum"
-version = "1.5.1"
-description = "Enum field for Marshmallow"
-category = "main"
+name = "miniaudio"
+version = "1.59"
+description = "python bindings for the miniaudio library and its decoders (mp3, flac, ogg vorbis, wav)"
 optional = false
 python-versions = "*"
 files = [
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-
-[package.dependencies]
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-
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 [package.dependencies]
 mypy-extensions = ">=1.0.0"
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+typing-extensions = ">=4.1.0"
 
 [package.extras]
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 install-types = ["pip"]
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 reports = ["lxml"]
 
 [[package]]
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 version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
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 version = "3.8.1"
 description = "Natural Language Toolkit"
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 python-versions = ">=3.7"
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@@ -1604,7 +1351,7 @@ tqdm = "*"
 
 [package.extras]
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@@ -1612,7 +1359,6 @@ wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1
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@@ -1625,249 +1371,87 @@ pydantic = ">=1.8.2"
 
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 typing-extensions = ">=3.7.4"
 
 [[package]]
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 description = "Python 2 and 3 compatibility utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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@@ -2302,7 +1790,6 @@ files = [
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 version = "1.3.0"
 description = "Sniff out which async library your code is running under"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2314,7 +1801,6 @@ files = [
 name = "sounddevice"
 version = "0.4.6"
 description = "Play and Record Sound with Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2333,80 +1819,88 @@ numpy = ["NumPy"]
 
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 [package.extras]
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-typing-extensions = ">=4.2.0"
+typing-extensions = ">=4.6.0"
 
 [package.extras]
-aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
+aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
@@ -2416,7 +1910,7 @@ mssql-pyodbc = ["pyodbc"]
 mypy = ["mypy (>=0.910)"]
 mysql = ["mysqlclient (>=1.4.0)"]
 mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=7)"]
+oracle = ["cx_oracle (>=8)"]
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 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
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 postgresql-psycopg = ["psycopg (>=3.0.7)"]
 postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
+postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
-
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-category = "main"
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-
-[package.extras]
-tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
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 version = "0.27.0"
 description = "The little ASGI library that shines."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
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 [package.extras]
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 [[package]]
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-version = "8.2.2"
+version = "8.2.3"
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-category = "main"
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-python-versions = ">=3.6"
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 [[package]]
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-description = "Fast and Customizable Tokenizers"
-category = "main"
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 ]
 
+[package.dependencies]
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+
 [package.extras]
-dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
-docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+dev = ["tokenizers[testing]"]
+docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
+[[package]]
+name = "tomli"
+version = "2.0.1"
+description = "A lil' TOML parser"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
+    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
+
 [[package]]
 name = "tqdm"
-version = "4.65.0"
+version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.65.0-py3-none-any.whl", hash = "sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671"},
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+    {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
+    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "traitlets"
-version = "5.9.0"
-description = "Traitlets Python configuration system"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
-[package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
-
-[[package]]
-name = "twilio"
-version = "8.2.1"
-description = "Twilio API client and TwiML generator"
-category = "main"
-optional = false
-python-versions = ">=3.7.0"
-files = [
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-]
-
-[package.dependencies]
-aiohttp = ">=3.8.4"
-aiohttp-retry = ">=2.8.3"
-PyJWT = ">=2.0.0,<3.0.0"
-pytz = "*"
-requests = ">=2.0.0"
-
 [[package]]
 name = "typing-extensions"
-version = "4.6.2"
-description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
+version = "4.9.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "typing_extensions-4.6.2.tar.gz", hash = "sha256:06006244c70ac8ee83fa8282cb188f697b8db25bc8b4df07be1873c43897060c"},
+    {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
+    {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
 ]
 
 [[package]]
 name = "typing-inspect"
 version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2621,26 +2140,24 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "urllib3"
-version = "1.26.16"
+version = "2.1.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.8"
 files = [
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+    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
+    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
 version = "0.21.1"
 description = "The lightning-fast ASGI server."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2657,70 +2174,49 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
 
 [[package]]
 name = "vocode"
-version = "0.1.110"
+version = "0.1.111"
 description = "The all-in-one voice SDK"
-category = "main"
 optional = false
 python-versions = ">=3.8.1,<3.12"
-files = []
-develop = false
+files = [
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+    {file = "vocode-0.1.111.tar.gz", hash = "sha256:9eb1e6d25c55f2fd7b0e1ee712de61a5f2c2cb8b70b058ce5d0eb7eb86bf8367"},
+]
 
 [package.dependencies]
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-anthropic = "^0.2.9"
-azure-cognitiveservices-speech = "^1.27.0"
-elevenlabs = {version = "^0.2.6", optional = true}
-fastapi = "^0.95.1"
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-gtts = {version = "^2.3.1", optional = true}
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-nltk = "^3.8.1"
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-redis = {version = "^4.5.4", optional = true}
-requests = "^2.28.2"
-scipy = "^1.10.1"
-six = "^1.16.0"
-sounddevice = "^0.4.6"
-speechrecognition = "^3.10.0"
-twilio = {version = "^8.1.0", optional = true}
-uvicorn = "^0.21.1"
-websockets = "^11.0.2"
+aiohttp = ">=3.8.4,<4.0.0"
+anthropic = ">=0.2.9,<0.3.0"
+azure-cognitiveservices-speech = ">=1.27.0,<2.0.0"
+fastapi = ">=0.100.1,<0.101.0"
+janus = ">=1.0.0,<2.0.0"
+jinja2 = ">=3.1.2,<4.0.0"
+langchain = ">=0.0.198,<0.0.199"
+miniaudio = ">=1.59,<2.0"
+nltk = ">=3.8.1,<4.0.0"
+openai = ">=0.27.8,<0.28.0"
+opentelemetry-sdk = ">=1.17.0,<2.0.0"
+pydub = ">=0.25.1,<0.26.0"
+python-multipart = ">=0.0.6,<0.0.7"
+requests = ">=2.28.2,<3.0.0"
+scipy = ">=1.10.1,<2.0.0"
+six = ">=1.16.0,<2.0.0"
+sounddevice = ">=0.4.6,<0.5.0"
+speechrecognition = ">=3.10.0,<4.0.0"
+uvicorn = ">=0.21.1,<0.22.0"
+websockets = ">=11.0.2,<12.0.0"
 
 [package.extras]
-all = ["elevenlabs (>=0.2.6,<0.3.0)", "google-cloud-speech (>=2.19.0,<3.0.0)", "google-cloud-texttospeech (>=2.14.1,<3.0.0)", "gtts (>=2.3.1,<3.0.0)", "redis (>=4.5.4,<5.0.0)", "twilio (>=8.1.0,<9.0.0)"]
+actions = ["nylas (>=5.14.0,<6.0.0)"]
+agents = ["google-cloud-aiplatform (>=1.26.0,<2.0.0)"]
+all = ["elevenlabs (>=0.2.6,<0.3.0)", "google-cloud-aiplatform (>=1.26.0,<2.0.0)", "google-cloud-speech (>=2.19.0,<3.0.0)", "google-cloud-texttospeech (>=2.14.1,<3.0.0)", "gtts (>=2.3.1,<3.0.0)", "nylas (>=5.14.0,<6.0.0)", "redis (>=4.5.4,<5.0.0)", "twilio (>=8.1.0,<9.0.0)", "vonage (>=3.5.1,<4.0.0)"]
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-telephony = ["redis (>=4.5.4,<5.0.0)", "twilio (>=8.1.0,<9.0.0)"]
+telephony = ["redis (>=4.5.4,<5.0.0)", "twilio (>=8.1.0,<9.0.0)", "vonage (>=3.5.1,<4.0.0)"]
 transcribers = ["google-cloud-speech (>=2.19.0,<3.0.0)"]
 
-[package.source]
-type = "git"
-url = "https://github.com/vocodedev/vocode-python.git"
-reference = "zaptrem/turn-based-improvements"
-resolved_reference = "bf67bae6381481e241ff5e2a32a1fb417028a0b3"
-
-[[package]]
-name = "wcwidth"
-version = "0.2.6"
-description = "Measures the displayed width of unicode strings in a terminal"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
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-
 [[package]]
 name = "websockets"
 version = "11.0.3"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2798,171 +2294,180 @@ files = [
 
 [[package]]
 name = "wrapt"
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+version = "1.16.0"
 description = "Module for decorators, wrappers and monkey patching."
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-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
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 [package.dependencies]
@@ -2971,21 +2476,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.15.0"
+version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
-    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.11,<3.12"
-content-hash = "7a6aa26cb0711a129adf948412dba88bc928d9558a0d511c1595ff8463a79020"
+python-versions = ">=3.9,<3.12"
+content-hash = "17d1e63c5d96d74bb668a26a1d951072ba74508acb437dcf6014b5cd5a91d069"
diff --git a/apps/telegram_bot/pyproject.toml b/apps/telegram_bot/pyproject.toml
index d695588195..296e8a3b46 100644
--- a/apps/telegram_bot/pyproject.toml
+++ b/apps/telegram_bot/pyproject.toml
@@ -6,11 +6,11 @@ authors = ["Your Name <you@example.com>"]
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = ">=3.11,<3.12"
+python = ">=3.9,<3.12"
 python-telegram-bot = "^20.3"
 mypy = "^1.3.0"
 black = "^23.3.0"
-vocode = {git = "https://github.com/vocodedev/vocode-python.git", rev = "zaptrem/turn-based-improvements", extras=["all"]}
+vocode = "0.1.111"
 
 
 [build-system]
diff --git a/apps/telephony_app/.env.template b/apps/telephony_app/.env.template
index b8595b0634..6e8a420c6f 100644
--- a/apps/telephony_app/.env.template
+++ b/apps/telephony_app/.env.template
@@ -1,7 +1,22 @@
+# The base URL for the application. This is used in the main.py file.
+# If BASE_URL is not set, you need to set the NGROK_AUTH_TOKEN for creating a tunnel to the dev server.
+# example: 
+# BASE_URL=telephony-app.ngrok.io
 BASE_URL=
+# The authentication token for ngrok. This is used in the main.py file for creating a tunnel to the dev server.
+# This needs to be set if BASE_URL is not set.
+# NGROK_AUTH_TOKEN=
+
+# The API key for Deepgram. This is used for speech recognition.
 DEEPGRAM_API_KEY=
+
+# The API key for OpenAI. This is used for natural language processing tasks.
 OPENAI_API_KEY=
+
+# The API key and region for Azure Speech Service, used for speech-to-text services.
 AZURE_SPEECH_KEY=
 AZURE_SPEECH_REGION=
+
+# The account SID and authentication token for Twilio. These are used for making API requests to Twilio.
 TWILIO_ACCOUNT_SID=
 TWILIO_AUTH_TOKEN=
\ No newline at end of file
diff --git a/apps/telephony_app/Dockerfile b/apps/telephony_app/Dockerfile
index d96b3f348e..ae57750598 100644
--- a/apps/telephony_app/Dockerfile
+++ b/apps/telephony_app/Dockerfile
@@ -1,11 +1,4 @@
-FROM python:3.9-bullseye
-
-# get portaudio and ffmpeg
-RUN apt-get update \
-        && apt-get install libportaudio2 libportaudiocpp0 portaudio19-dev libasound-dev libsndfile1-dev -y
-RUN apt-get -y update
-RUN apt-get -y upgrade
-RUN apt-get install -y ffmpeg
+FROM vocodedev/vocode:latest
 
 WORKDIR /code
 COPY ./pyproject.toml /code/pyproject.toml
@@ -16,4 +9,4 @@ RUN poetry install --no-dev --no-interaction --no-ansi
 COPY main.py /code/main.py
 COPY speller_agent.py /code/speller_agent.py
 
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "3000"]
\ No newline at end of file
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "3000"]
diff --git a/apps/telephony_app/README.md b/apps/telephony_app/README.md
index 3b5f451397..da0d4e6aec 100644
--- a/apps/telephony_app/README.md
+++ b/apps/telephony_app/README.md
@@ -1,3 +1,3 @@
 # Self-hosted Telephony Server
 
-See https://docs.vocode.dev/telephony#self-hosted for setup steps!
+See https://docs.vocode.dev/open-source/telephony for setup steps!
diff --git a/apps/telephony_app/docker-compose.yml b/apps/telephony_app/docker-compose.yml
index a6c5be9363..e6a2519bd6 100644
--- a/apps/telephony_app/docker-compose.yml
+++ b/apps/telephony_app/docker-compose.yml
@@ -3,14 +3,14 @@ services:
     image: redis:7.0.9-alpine
     command: redis-server --bind 0.0.0.0
     ports:
-      - 6379:6379
+    - 6379:6379
   app:
     image: vocode-telephony-app
     env_file:
-      - .env
+    - .env
     ports:
-      - 3000:3000
+    - 3000:3000
     depends_on:
-      - redis
+    - redis
     environment:
-      - REDISHOST=redis
+    - REDISHOST=redis
diff --git a/apps/telephony_app/main.py b/apps/telephony_app/main.py
index da4974dd26..5acc6dd28d 100644
--- a/apps/telephony_app/main.py
+++ b/apps/telephony_app/main.py
@@ -1,32 +1,31 @@
-import logging
+# Standard library imports
 import os
+import sys
+
+from dotenv import load_dotenv
+
+# Third-party imports
 from fastapi import FastAPI
-from vocode.streaming.models.telephony import TwilioConfig
+from loguru import logger
 from pyngrok import ngrok
-from vocode.streaming.telephony.config_manager.redis_config_manager import (
-    RedisConfigManager,
-)
-from vocode.streaming.models.agent import ChatGPTAgentConfig
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.telephony.server.base import (
-    TwilioInboundCallConfig,
-    TelephonyServer,
-)
 
+# Local application/library specific imports
 from speller_agent import SpellerAgentFactory
-import sys
+
+from vocode.logging import configure_pretty_logging
+from vocode.streaming.models.agent import ChatGPTAgentConfig
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.telephony import TwilioConfig
+from vocode.streaming.telephony.config_manager.redis_config_manager import RedisConfigManager
+from vocode.streaming.telephony.server.base import TelephonyServer, TwilioInboundCallConfig
 
 # if running from python, this will load the local .env
 # docker-compose will load the .env file by itself
-from dotenv import load_dotenv
-
 load_dotenv()
 
-app = FastAPI(docs_url=None)
+configure_pretty_logging()
 
-logging.basicConfig()
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
+app = FastAPI(docs_url=None)
 
 config_manager = RedisConfigManager()
 
@@ -56,6 +55,13 @@
                 prompt_preamble="Have a pleasant conversation about life",
                 generate_responses=True,
             ),
+            # uncomment this to use the speller agent instead
+            # agent_config=SpellerAgentConfig(
+            #     initial_message=BaseMessage(
+            #         text="im a speller agent, say something to me and ill spell it out for you"
+            #     ),
+            #     generate_responses=False,
+            # ),
             twilio_config=TwilioConfig(
                 account_sid=os.environ["TWILIO_ACCOUNT_SID"],
                 auth_token=os.environ["TWILIO_AUTH_TOKEN"],
@@ -63,7 +69,6 @@
         )
     ],
     agent_factory=SpellerAgentFactory(),
-    logger=logger,
 )
 
 app.include_router(telephony_server.get_router())
diff --git a/apps/telephony_app/outbound_call.py b/apps/telephony_app/outbound_call.py
index 4fc6dba7a4..6c4ee35683 100644
--- a/apps/telephony_app/outbound_call.py
+++ b/apps/telephony_app/outbound_call.py
@@ -1,15 +1,18 @@
 import os
+
 from dotenv import load_dotenv
 
-load_dotenv()
+from vocode.streaming.models.agent import ChatGPTAgentConfig
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.telephony import TwilioConfig
 
-from vocode.streaming.telephony.conversation.outbound_call import OutboundCall
-from vocode.streaming.telephony.config_manager.redis_config_manager import (
-    RedisConfigManager,
-)
+load_dotenv()
 
 from speller_agent import SpellerAgentConfig
 
+from vocode.streaming.telephony.config_manager.redis_config_manager import RedisConfigManager
+from vocode.streaming.telephony.conversation.outbound_call import OutboundCall
+
 BASE_URL = os.environ["BASE_URL"]
 
 
@@ -21,12 +24,22 @@ async def main():
         to_phone="+15555555555",
         from_phone="+15555555555",
         config_manager=config_manager,
-        agent_config=SpellerAgentConfig(generate_responses=False),
+        agent_config=ChatGPTAgentConfig(
+            initial_message=BaseMessage(text="What up"),
+            prompt_preamble="Have a pleasant conversation about life",
+            generate_responses=True,
+        ),
+        telephony_config=TwilioConfig(
+            account_sid=os.environ["TWILIO_ACCOUNT_SID"],
+            auth_token=os.environ["TWILIO_AUTH_TOKEN"],
+        ),
     )
 
     input("Press enter to start call...")
     await outbound_call.start()
 
+
 if __name__ == "__main__":
     import asyncio
+
     asyncio.run(main())
diff --git a/apps/telephony_app/poetry.lock b/apps/telephony_app/poetry.lock
index af1f31a95e..7208b52ff7 100644
--- a/apps/telephony_app/poetry.lock
+++ b/apps/telephony_app/poetry.lock
@@ -1,134 +1,105 @@
-# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
-version = "3.8.5"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 aiosignal = ">=1.1.2"
-async-timeout = ">=4.0.0a3,<5.0"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
-charset-normalizer = ">=2.0,<4.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
-
-[[package]]
-name = "aiohttp-retry"
-version = "2.8.3"
-description = "Simple retry client for aiohttp"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
-[package.dependencies]
-aiohttp = "*"
+speedups = ["Brotli", "aiodns", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -140,179 +111,178 @@ files = [
 frozenlist = ">=1.1.0"
 
 [[package]]
-name = "anthropic"
-version = "0.2.10"
-description = "Library for accessing the anthropic API"
-category = "main"
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
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+]
+
+[[package]]
+name = "anthropic"
+version = "0.28.1"
+description = "The official Python library for the anthropic API"
+optional = false
+python-versions = ">=3.7"
+files = [
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 ]
 
 [package.dependencies]
-aiohttp = "*"
-httpx = "*"
-requests = "*"
-tokenizers = "*"
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+jiter = ">=0.4.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tokenizers = ">=0.13.0"
+typing-extensions = ">=4.7,<5"
 
 [package.extras]
-dev = ["black (>=22.3.0)", "pytest"]
+bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "3.7.1"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
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-trio = ["trio (<0.22)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.2"
+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
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+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "azure-cognitiveservices-speech"
-version = "1.31.0"
+version = "1.38.0"
 description = "Microsoft Cognitive Services Speech SDK for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "certifi"
-version = "2023.7.22"
+version = "2024.6.2"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
 name = "cffi"
-version = "1.15.1"
+version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
-category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -320,99 +290,112 @@ pycparser = "*"
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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 optional = false
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 ]
 
 [[package]]
 name = "click"
-version = "8.1.6"
+version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -422,7 +405,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -432,71 +414,62 @@ files = [
 
 [[package]]
 name = "cryptography"
-version = "41.0.3"
+version = "42.0.8"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
-cffi = ">=1.12"
+cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
 
 [package.extras]
 docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
-docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
+docstest = ["pyenchant (>=1.6.11)", "readme-renderer", "sphinxcontrib-spelling (>=4.0.1)"]
 nox = ["nox"]
-pep8test = ["black", "check-sdist", "mypy", "ruff"]
+pep8test = ["check-sdist", "click", "mypy", "ruff"]
 sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
-[[package]]
-name = "dataclasses-json"
-version = "0.5.14"
-description = "Easily serialize dataclasses to and from JSON."
-category = "main"
-optional = false
-python-versions = ">=3.7,<3.13"
-files = [
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-]
-
-[package.dependencies]
-marshmallow = ">=3.18.0,<4.0.0"
-typing-inspect = ">=0.4.0,<1"
-
 [[package]]
 name = "deprecated"
 version = "1.2.14"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -510,16 +483,79 @@ wrapt = ">=1.10,<2"
 [package.extras]
 dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 
+[[package]]
+name = "distro"
+version = "1.9.0"
+description = "Distro - an OS platform information API"
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
+]
+
+[[package]]
+name = "dnspython"
+version = "2.6.1"
+description = "DNS toolkit"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "sphinx (>=7.2.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
+dnssec = ["cryptography (>=41)"]
+doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
+doq = ["aioquic (>=0.9.25)"]
+idna = ["idna (>=3.6)"]
+trio = ["trio (>=0.23)"]
+wmi = ["wmi (>=1.5.1)"]
+
+[[package]]
+name = "elevenlabs"
+version = "1.3.1"
+description = ""
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
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+]
+
+[package.dependencies]
+httpx = ">=0.21.2"
+pydantic = ">=1.9.2"
+requests = ">=2.20"
+typing_extensions = ">=4.0.0"
+websockets = ">=11.0"
+
+[[package]]
+name = "email-validator"
+version = "2.1.2"
+description = "A robust email address syntax and deliverability validation library."
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+dnspython = ">=2.0.0"
+idna = ">=2.0.0"
+
 [[package]]
 name = "exceptiongroup"
-version = "1.1.2"
+version = "1.2.1"
 description = "Backport of PEP 654 (exception groups)"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -706,87 +817,165 @@ files = [
 
 [[package]]
 name = "httpcore"
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+version = "1.0.5"
 description = "A minimal low-level HTTP client."
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-python-versions = ">=3.7"
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+[[package]]
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+[package.extras]
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 [[package]]
 name = "httpx"
-version = "0.24.1"
+version = "0.27.0"
 description = "The next generation HTTP client."
-category = "main"
 optional = false
-python-versions = ">=3.7"
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 files = [
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 ]
 
 [package.dependencies]
+anyio = "*"
 certifi = "*"
-httpcore = ">=0.15.0,<0.18.0"
+httpcore = "==1.*"
 idna = "*"
 sniffio = "*"
 
 [package.extras]
 brotli = ["brotli", "brotlicffi"]
-cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<14)"]
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 http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
+
+[[package]]
+name = "huggingface-hub"
+version = "0.23.4"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
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+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
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+torch = ["safetensors", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
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 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "7.1.0"
 description = "Read metadata from Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
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+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "janus"
 version = "1.0.0"
 description = "Mixed sync-async queue to interoperate between asyncio tasks and classic threads"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -799,14 +988,13 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -815,159 +1003,248 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
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 description = "Lightweight pipelining with Python functions"
-category = "main"
 optional = false
-python-versions = ">=3.7"
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 [[package]]
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 description = "python bindings for the miniaudio library and its decoders (mp3, flac, ogg vorbis, wav)"
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 optional = false
 python-versions = "*"
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@@ -1030,105 +1307,107 @@ cffi = ">=1.12.0"
 
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 tgrep = ["pyparsing"]
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 [package.dependencies]
-typing-extensions = ">=4.2.0"
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+
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+name = "pydantic-settings"
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+description = "Settings management using Pydantic"
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+python-versions = ">=3.8"
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 [package.extras]
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-email = ["email-validator (>=1.0.3)"]
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 version = "0.25.1"
 description = "Manipulate audio with an simple and easy high level interface"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1400,11 +1790,41 @@ files = [
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 ]
 
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+[package.extras]
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+
+[[package]]
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+version = "0.0.28"
+description = ""
+optional = false
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+protobuf = ">=4.24.3,<5.0.0"
+requests = ">=2.31.0,<3.0.0"
+
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 name = "pyjwt"
 version = "2.8.0"
 description = "JSON Web Token implementation in Python"
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 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1423,28 +1843,31 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pyngrok"
-version = "6.0.0"
+version = "7.1.6"
 description = "A Python wrapper for ngrok."
-category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
-    {file = "pyngrok-6.0.0.tar.gz", hash = "sha256:dd8a87944b8e28572e3d126bfb2c81a2948594575f5237eefd3651ae0b487155"},
+    {file = "pyngrok-7.1.6-py3-none-any.whl", hash = "sha256:422ac7c339622fef51308f0c493a1f5a05d0f403eee5bdd183fb4021a6cb90d4"},
+    {file = "pyngrok-7.1.6.tar.gz", hash = "sha256:05c0fca6340913658abddc623a0a53927aced93e27ffef801d24814bcb180eaa"},
 ]
 
 [package.dependencies]
-PyYAML = "*"
+PyYAML = ">=5.1"
+
+[package.extras]
+dev = ["coverage[toml]", "flake8", "flake8-pyproject", "pep8-naming", "psutil"]
+docs = ["Sphinx", "mypy", "sphinx-autodoc-typehints (==1.25.2)", "sphinx-notfound-page", "sphinx-substitution-extensions", "types-PyYAML"]
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.0"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
-    {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
+    {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
+    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
 ]
 
 [package.extras]
@@ -1452,36 +1875,33 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-multipart"
-version = "0.0.6"
+version = "0.0.9"
 description = "A streaming multipart parser for Python"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "python_multipart-0.0.6-py3-none-any.whl", hash = "sha256:ee698bab5ef148b0a760751c261902cd096e57e10558e11aca17646b74ee1c18"},
-    {file = "python_multipart-0.0.6.tar.gz", hash = "sha256:e9925a80bb668529f1b67c7fdb0a5dacdd7cbfc6fb0bff3ea443fe22bdd62132"},
+    {file = "python_multipart-0.0.9-py3-none-any.whl", hash = "sha256:97ca7b8ea7b05f977dc3849c3ba99d51689822fab725c3703af7c866a0c2b215"},
+    {file = "python_multipart-0.0.9.tar.gz", hash = "sha256:03f54688c663f1b7977105f021043b0793151e4cb1c1a9d4a11fc13d622c4026"},
 ]
 
 [package.extras]
-dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==1.7.3)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"]
+dev = ["atomicwrites (==1.4.1)", "attrs (==23.2.0)", "coverage (==7.4.1)", "hatch", "invoke (==2.2.0)", "more-itertools (==10.2.0)", "pbr (==6.0.0)", "pluggy (==1.4.0)", "py (==1.11.0)", "pytest (==8.0.0)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.2.0)", "pyyaml (==6.0.1)", "ruff (==0.2.1)"]
 
 [[package]]
 name = "pytz"
-version = "2023.3"
+version = "2024.1"
 description = "World timezone definitions, modern and historical"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "pytz-2023.3-py2.py3-none-any.whl", hash = "sha256:a151b3abb88eda1d4e34a9814df37de2a80e301e68ba0fd856fb9b46bfbbbffb"},
-    {file = "pytz-2023.3.tar.gz", hash = "sha256:1d8ce29db189191fb55338ee6d0387d82ab59f3d00eac103412d64e0ebd0c588"},
+    {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
+    {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
 ]
 
 [[package]]
 name = "pyyaml"
 version = "6.0.1"
 description = "YAML parser and emitter for Python"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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@@ -1497,8 +1918,16 @@ files = [
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+    {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
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@@ -1515,6 +1944,7 @@ files = [
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+    {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
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@@ -1522,6 +1952,7 @@ files = [
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@@ -1529,131 +1960,134 @@ files = [
 
 [[package]]
 name = "redis"
-version = "4.6.0"
+version = "5.0.6"
 description = "Python client for Redis database and key-value store"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "redis-5.0.6-py3-none-any.whl", hash = "sha256:c0d6d990850c627bbf7be01c5c4cbaadf67b48593e913bb71c9819c30df37eee"},
+    {file = "redis-5.0.6.tar.gz", hash = "sha256:38473cd7c6389ad3e44a91f4c3eaf6bcb8a9f746007f29bf4fb20824ff0b2197"},
 ]
 
 [package.dependencies]
-async-timeout = {version = ">=4.0.2", markers = "python_full_version <= \"3.11.2\""}
+async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\""}
 
 [package.extras]
 hiredis = ["hiredis (>=1.0.0)"]
 ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"]
 
+[[package]]
+name = "referencing"
+version = "0.35.1"
+description = "JSON Referencing + Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+attrs = ">=22.2.0"
+rpds-py = ">=0.7.0"
+
 [[package]]
 name = "regex"
-version = "2023.6.3"
+version = "2024.5.15"
 description = "Alternative regular expression module, to replace re."
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
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 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
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 numpy = ["NumPy"]
 
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-pymysql = ["pymysql"]
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 optional = false
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+pydantic = ">=2.5.2"
 pytz = ">=2018.5"
 requests = ">=2.4.2"
-vonage-jwt = ">=1.0.0"
+vonage-jwt = ">=1.1.0"
 
 [[package]]
 name = "vonage-jwt"
-version = "1.0.0"
-description = "A JWT Generator for Python. Creates JWTs for use with Vonage APIs."
-category = "main"
+version = "1.1.1"
+description = "Tooling for working with JWTs for Vonage APIs in Python."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 pyjwt = {version = ">=1.6.4", extras = ["crypto"]}
+vonage-utils = ">=1.1.2"
+
+[[package]]
+name = "vonage-utils"
+version = "1.1.2"
+description = "Utils package containing objects for use with Vonage APIs"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+pydantic = ">=2.7.1"
+typing-extensions = ">=4.9.0"
+
+[[package]]
+name = "watchfiles"
+version = "0.22.0"
+description = "Simple, modern and high performance file watching and code reload in python."
+optional = false
+python-versions = ">=3.8"
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 [[package]]
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 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
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 optional = false
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+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
 ]
 
 [package.dependencies]
@@ -2370,21 +3188,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.16.2"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
-    {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.9,<3.12"
-content-hash = "e3487825745f7c659eec9e956ff9be846febf8ce79c24dc477ea22424608cb21"
+python-versions = ">=3.10,<3.12"
+content-hash = "a283dd73bcbfd3bb9ee561e88d9fd49ac7e4e40e8bad221ccc8486b0e15452b0"
diff --git a/apps/telephony_app/pyproject.toml b/apps/telephony_app/pyproject.toml
index 39bbe199e9..b32eef8a9a 100644
--- a/apps/telephony_app/pyproject.toml
+++ b/apps/telephony_app/pyproject.toml
@@ -4,15 +4,15 @@ version = "0.1.0"
 description = ""
 authors = ["Your Name <you@example.com>"]
 readme = "README.md"
+package-mode = false
 
 [tool.poetry.dependencies]
-python = ">=3.9,<3.12"
-redis = "^4.5.4"
-twilio = "^8.1.0"
-vonage = "^3.5.1"
-pyngrok = "^6.0.0"
-python-dotenv = "^1.0.0"
-vocode = "0.1.111a3"
+python = ">=3.10,<3.12"
+pyngrok = "^7.1.6"
+python-dotenv = "^1.0.1"
+azure-cognitiveservices-speech = "^1.38.0"
+vocode = "0.1.113"
+vonage = "^3.16.0"
 
 
 [build-system]
diff --git a/apps/telephony_app/speller_agent.py b/apps/telephony_app/speller_agent.py
index 3782663f6a..fc4f441aa2 100644
--- a/apps/telephony_app/speller_agent.py
+++ b/apps/telephony_app/speller_agent.py
@@ -1,39 +1,73 @@
-import logging
 from typing import Optional, Tuple
-import typing
+
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.agent.base_agent import BaseAgent, RespondAgent
 from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
 from vocode.streaming.models.agent import AgentConfig, AgentType, ChatGPTAgentConfig
-from vocode.streaming.agent.base_agent import BaseAgent, RespondAgent
-from vocode.streaming.agent.factory import AgentFactory
 
 
 class SpellerAgentConfig(AgentConfig, type="agent_speller"):
+    """Configuration for SpellerAgent. Inherits from AgentConfig."""
+
     pass
 
 
 class SpellerAgent(RespondAgent[SpellerAgentConfig]):
+    """SpellerAgent class. Inherits from RespondAgent.
+
+    This agent takes human input and returns it with spaces between each character.
+    """
+
     def __init__(self, agent_config: SpellerAgentConfig):
+        """Initializes SpellerAgent with the given configuration.
+
+        Args:
+            agent_config (SpellerAgentConfig): The configuration for this agent.
+        """
         super().__init__(agent_config=agent_config)
 
     async def respond(
         self,
-        human_input,
+        human_input: str,
         conversation_id: str,
         is_interrupt: bool = False,
     ) -> Tuple[Optional[str], bool]:
+        """Generates a response from the SpellerAgent.
+
+        The response is generated by joining each character in the human input with a space.
+        The second element of the tuple indicates whether the agent should stop (False means it should not stop).
+
+        Args:
+            human_input (str): The input from the human user.
+            conversation_id (str): The ID of the conversation.
+            is_interrupt (bool): A flag indicating whether the agent was interrupted.
+
+        Returns:
+            Tuple[Optional[str], bool]: The generated response and a flag indicating whether to stop.
+        """
         return "".join(c + " " for c in human_input), False
 
 
-class SpellerAgentFactory(AgentFactory):
-    def create_agent(
-        self, agent_config: AgentConfig, logger: Optional[logging.Logger] = None
-    ) -> BaseAgent:
-        if agent_config.type == AgentType.CHAT_GPT:
-            return ChatGPTAgent(
-                agent_config=typing.cast(ChatGPTAgentConfig, agent_config)
-            )
-        elif agent_config.type == "agent_speller":
-            return SpellerAgent(
-                agent_config=typing.cast(SpellerAgentConfig, agent_config)
-            )
+class SpellerAgentFactory(AbstractAgentFactory):
+    """Factory class for creating agents based on the provided agent configuration."""
+
+    def create_agent(self, agent_config: AgentConfig) -> BaseAgent:
+        """Creates an agent based on the provided agent configuration.
+
+        Args:
+            agent_config (AgentConfig): The configuration for the agent to be created.
+
+        Returns:
+            BaseAgent: The created agent.
+
+        Raises:
+            Exception: If the agent configuration type is not recognized.
+        """
+        # If the agent configuration type is CHAT_GPT, create a ChatGPTAgent.
+        if isinstance(agent_config, ChatGPTAgentConfig):
+            return ChatGPTAgent(agent_config=agent_config)
+        # If the agent configuration type is agent_speller, create a SpellerAgent.
+        elif isinstance(agent_config, SpellerAgentConfig):
+            return SpellerAgent(agent_config=agent_config)
+        # If the agent configuration type is not recognized, raise an exception.
         raise Exception("Invalid agent config")
diff --git a/apps/voice_rag/.env.template b/apps/voice_rag/.env.template
new file mode 100644
index 0000000000..f4aec7b67d
--- /dev/null
+++ b/apps/voice_rag/.env.template
@@ -0,0 +1,19 @@
+# The API key for Deepgram. This is used for speech recognition.
+DEEPGRAM_API_KEY=
+
+# The API key for OpenAI. This is used as LLM Large Lengual Model.
+OPENAI_API_KEY=
+
+# The API key and region for Azure Speech Service, used for speech-to-text services.
+AZURE_SPEECH_KEY=
+AZURE_SPEECH_REGION=
+
+# The API key for Pinecone. This is used for vector database operations.
+PINECONE_API_KEY=
+
+# The environment for Pinecone. This is used to specify the environment in which Pinecone operates.
+PINECONE_ENVIRONMENT=
+
+# The index name for Pinecone. This is used to specify the index that Pinecone will use for vector operations.
+# For example, it could be something like 'index-name-3f5w2y4'.
+PINECONE_INDEX_NAME=
\ No newline at end of file
diff --git a/apps/voice_rag/Dockerfile b/apps/voice_rag/Dockerfile
new file mode 100644
index 0000000000..d6ad000e8a
--- /dev/null
+++ b/apps/voice_rag/Dockerfile
@@ -0,0 +1,54 @@
+# Use the official micromamba image as a base
+FROM docker.io/mambaorg/micromamba:1.5-jammy
+
+# Create a new user '$MAMBA_USER' and set the working directory
+COPY --chown=$MAMBA_USER:$MAMBA_USER environment.docker.yml /tmp/environment.yml
+
+# Install the specified packages using micromamba
+RUN micromamba install -y -n base -f /tmp/environment.yml && \
+    micromamba clean --all --yes    
+
+USER root
+WORKDIR /usr/local/src
+
+ARG VOCODE_USER=vocode
+ARG VOCODE_UID=8476
+ARG VOCODE_GID=8476
+
+RUN groupadd --gid $VOCODE_GID $VOCODE_USER && \
+    useradd --uid $VOCODE_UID --gid $VOCODE_GID --shell /bin/bash --create-home $VOCODE_USER
+
+# COPY --chown=$VOCODE_USER:$VOCODE_USER ../../../ /vocode-python
+# WORKDIR /usr/local/src/vocode
+# RUN poetry install -E all
+
+# Copy the rest of your application files into the Docker image
+COPY --chown=$VOCODE_USER:$VOCODE_USER . /vocode
+WORKDIR /vocode
+
+#USER vocode
+USER root
+
+ENV DOCKER_ENV="docker"
+
+# # Expose the port your FastAPI app will run on
+EXPOSE 19002
+
+# Set build arguments
+ARG BUILD_DATE
+ARG VCS_REF
+ARG VERSION
+
+# Set labels
+LABEL org.label-schema.build-date=$BUILD_DATE \
+      org.label-schema.name="vocode" \
+      org.label-schema.description="Vocode Docker Image" \
+      org.label-schema.url="https://vocode.dev/" \
+      org.label-schema.vcs-url="https://github.com/vocodedev" \
+      org.label-schema.maintainer="seb@vocode.dev" \
+      org.label-schema.vcs-ref=$VCS_REF \
+      org.label-schema.vendor="Vocode" \
+      org.label-schema.version=$VERSION
+
+# Start the FastAPI app using Uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "19002"]
\ No newline at end of file
diff --git a/apps/voice_rag/README.md b/apps/voice_rag/README.md
new file mode 100644
index 0000000000..75208faca7
--- /dev/null
+++ b/apps/voice_rag/README.md
@@ -0,0 +1,37 @@
+# voice_rag
+
+## Docker
+
+1. Set up the configuration for your agent in `main.py`.
+2. Set up an .env file using the template
+
+```
+cp .env.template .env
+```
+
+Fill in your API keys into .env
+
+3. Build the Docker image
+
+```bash
+docker build --build-arg BUILD_DATE=$(date -u +'%Y-%m-%dT%H:%M:%SZ') \
+             --build-arg VCS_REF=$(git rev-parse --short HEAD) \
+             --build-arg VERSION=0.1.0 \
+             -t vocode/vocode-voice-rag:0.1.0 .
+```
+
+4. Run the image and forward the port.
+
+```bash
+docker run --env-file=.env -p 3000:3000 -t vocode/vocode-voice-rag
+```
+
+Now you have a client backend hosted at localhost:3000 to pass into the Vocode React SDK. You'll likely need to tunnel port 3000 to ngrok / host your server in order to use it in the React SDK.
+
+## Non-docker setup
+
+`main.py` just sets up a FastAPI server, so you can just run it with uvicorn:
+
+```
+uvicorn main:app
+```
diff --git a/apps/voice_rag/environment.docker.yml b/apps/voice_rag/environment.docker.yml
new file mode 100644
index 0000000000..ee8e821c5e
--- /dev/null
+++ b/apps/voice_rag/environment.docker.yml
@@ -0,0 +1,21 @@
+name: vocode-rag
+channels:
+  - conda-forge
+  - pytorch
+dependencies:
+  - python=3.10
+  - openssl=1.1.1w
+  - portaudio
+  - ffmpeg
+  - git
+  - pip
+  - pip:
+    # Installing vocode from the git repository
+    - git+https://github.com/vocodedev/vocode-python.git#egg=vocode
+    - azure-cognitiveservices-speech==1.31.0
+    - python-dotenv
+    - ipython
+    - deepgram-sdk
+    - uvicorn
+    - pinecone-client
+    - poetry
\ No newline at end of file
diff --git a/apps/voice_rag/main.py b/apps/voice_rag/main.py
new file mode 100644
index 0000000000..0c3b04deb3
--- /dev/null
+++ b/apps/voice_rag/main.py
@@ -0,0 +1,83 @@
+import logging
+import os
+
+from dotenv import load_dotenv
+from fastapi import FastAPI
+
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.client_backend.conversation import ConversationRouter
+from vocode.streaming.models.agent import ChatGPTAgentConfig
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.streaming.models.transcriber import DeepgramTranscriberConfig, TimeEndpointingConfig
+from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
+from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
+from vocode.streaming.vector_db.factory import VectorDBFactory
+from vocode.streaming.vector_db.pinecone import PineconeConfig
+
+load_dotenv()
+
+app = FastAPI(docs_url=None)
+
+logging.basicConfig()
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.DEBUG)
+
+# Ensure that the environment variable 'PINECONE_INDEX_NAME' is not None
+pinecone_index_name = os.getenv("PINECONE_INDEX_NAME")
+if pinecone_index_name is None:
+    raise ValueError("Environment variable 'PINECONE_INDEX_NAME' is not set.")
+
+vector_db_config = PineconeConfig(index=pinecone_index_name)
+
+INITIAL_MESSAGE = "Hello!"
+PROMPT_PREAMBLE = """
+I want you to act as an IT Architect. 
+I will provide some details about the functionality of an application or other 
+digital product, and it will be your job to come up with ways to integrate it 
+into the IT landscape. This could involve analyzing business requirements, 
+performing a gap analysis, and mapping the functionality of the new system to 
+the existing IT landscape. The next steps are to create a solution design. 
+
+You are an expert in these technologies: 
+- Langchain
+- Supabase
+- Next.js
+- Fastapi
+- Vocode.
+"""
+
+TIME_ENDPOINTING_CONFIG = TimeEndpointingConfig()
+TIME_ENDPOINTING_CONFIG.time_cutoff_seconds = 2
+
+AZURE_SYNTHESIZER_THUNK = lambda output_audio_config: AzureSynthesizer(
+    AzureSynthesizerConfig.from_output_audio_config(
+        output_audio_config,
+    ),
+    logger=logger,
+)
+
+DEEPGRAM_TRANSCRIBER_THUNK = lambda input_audio_config: DeepgramTranscriber(
+    DeepgramTranscriberConfig.from_input_audio_config(
+        input_audio_config=input_audio_config,
+        endpointing_config=TIME_ENDPOINTING_CONFIG,
+        min_interrupt_confidence=0.9,
+    ),
+    logger=logger,
+)
+
+conversation_router = ConversationRouter(
+    agent_thunk=lambda: ChatGPTAgent(
+        ChatGPTAgentConfig(
+            initial_message=BaseMessage(text=INITIAL_MESSAGE),
+            prompt_preamble=PROMPT_PREAMBLE,
+            vector_db_config=vector_db_config,
+        ),
+        logger=logger,
+    ),
+    synthesizer_thunk=AZURE_SYNTHESIZER_THUNK,
+    transcriber_thunk=DEEPGRAM_TRANSCRIBER_THUNK,
+    logger=logger,
+)
+
+app.include_router(conversation_router.get_router())
diff --git a/apps/voice_rag/manual_pinecone_ingestor.ipynb b/apps/voice_rag/manual_pinecone_ingestor.ipynb
new file mode 100644
index 0000000000..58814e8b93
--- /dev/null
+++ b/apps/voice_rag/manual_pinecone_ingestor.ipynb
@@ -0,0 +1,223 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vocodedev/vocode-python/blob/main/apps/voice_rag/manual_pinecone_ingestor.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Install the Python Requests library via pip\n",
+    "# python \n",
+    "# langchain \n",
+    "# spacy \n",
+    "# unstructured = {extras = [\"local-inference\"]}\n",
+    "# layoutparser = {extras = [\"layoutmodels\", \"tesseract\"]}\n",
+    "# pinecone-client\n",
+    "# openai \n",
+    "# torch \n",
+    "# tiktoken\n",
+    "# git\n",
+    "\n",
+    "%pip install langchain spacy unstructured[local-inference] layoutparser[layoutmodels,tesseract] pinecone-client openai torch tiktoken git\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "'''\n",
+    "Importing necessary modules and functions:\n",
+    "- os module to interact with the OS\n",
+    "- Pinecone module for vector database operations\n",
+    "- OpenAIEmbeddings from langchain.embeddings.openai for generating embeddings\n",
+    "- SpacyTextSplitter from langchain.text_splitter for splitting text into chunks\n",
+    "- Pinecone from langchain.vectorstores for storing and retrieving vectors\n",
+    "- DirectoryLoader and UnstructuredFileLoader from langchain.document_loaders for loading documents from directories and unstructured files\n",
+    "'''\n",
+    "import os\n",
+    "import pinecone\n",
+    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
+    "from langchain.text_splitter import SpacyTextSplitter\n",
+    "from langchain.vectorstores import Pinecone\n",
+    "from langchain.document_loaders import DirectoryLoader, UnstructuredFileLoader\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "'''\n",
+    "We are using Google Colab's secret manager to securely input our API keys.\n",
+    "This ensures that the keys are not visible in the notebook and are not stored in the notebook's history.\n",
+    "We also retrieve the Pinecone index name from the secret manager.\n",
+    "Then, we add these keys to the environment variables.\n",
+    "'''\n",
+    "from google.colab import userdata\n",
+    "import os\n",
+    "\n",
+    "PINECONE_API_KEY = userdata.get('PINECONE_API_KEY')\n",
+    "os.environ['PINECONE_API_KEY'] = PINECONE_API_KEY\n",
+    "\n",
+    "PINECONE_ENVIRONMENT = userdata.get('PINECONE_ENVIRONMENT')\n",
+    "os.environ['PINECONE_ENVIRONMENT'] = PINECONE_ENVIRONMENT\n",
+    "\n",
+    "PINECONE_INDEX = userdata.get('PINECONE_INDEX')\n",
+    "os.environ['PINECONE_INDEX'] = PINECONE_INDEX\n",
+    "\n",
+    "OPENAI_API_KEY = userdata.get('OPENAI_API_KEY')\n",
+    "os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "'''\n",
+    "We are defining a list of libraries from which we want to fetch the code.\n",
+    "Each library is represented as a dictionary with three keys:\n",
+    "  - 'name': the name of the library\n",
+    "  - 'code': the URL of the library's GitHub repository\n",
+    "  - 'documentation_path': the path to the documentation within the repository\n",
+    "'''\n",
+    "libraries = [\n",
+    "    {\n",
+    "        'name': 'langchain',\n",
+    "        'code': 'https://github.com/langchain-ai/langchain',\n",
+    "        'documentation_path': 'docs'\n",
+    "    },\n",
+    "    {\n",
+    "        'name': 'supabase',\n",
+    "        'code': 'https://github.com/supabase/supabase',\n",
+    "        'documentation_path': 'apps/docs'\n",
+    "    },\n",
+    "    {\n",
+    "        'name': 'next.js',\n",
+    "        'code': 'https://github.com/vercel/next.js',\n",
+    "        'documentation_path': 'docs'\n",
+    "    },\n",
+    "    {\n",
+    "        'name': 'fastapi',\n",
+    "        'code': 'https://github.com/tiangolo/fastapi',\n",
+    "        'documentation_path': 'docs/en/docs'\n",
+    "    },\n",
+    "    {\n",
+    "        'name': 'vocode-python',\n",
+    "        'code': 'https://github.com/vocodedev/vocode-python',\n",
+    "        'documentation_path': 'docs'\n",
+    "    }\n",
+    "]\n",
+    "\n",
+    "'''\n",
+    "The function get_code_from_github is defined to fetch the code from the GitHub repositories.\n",
+    "It iterates over the libraries list and for each library, it clones the repository to a temporary directory.\n",
+    "Then, it moves the documentation to a directory named 'libraries_documentation/{name}'.\n",
+    "'''\n",
+    "import os\n",
+    "import shutil\n",
+    "import tempfile\n",
+    "import subprocess\n",
+    "\n",
+    "def get_code_from_github():\n",
+    "    # Create a temporary directory\n",
+    "    with tempfile.TemporaryDirectory() as temp_dir:\n",
+    "        for library in libraries:\n",
+    "            # Define the clone directory path\n",
+    "            clone_dir = os.path.join(temp_dir, library['name'])\n",
+    "\n",
+    "            # Clone the repository using the git command\n",
+    "            subprocess.run(['git', 'clone', library['code'], clone_dir], check=True)\n",
+    "            \n",
+    "            # Define the source and destination for moving documentation\n",
+    "            doc_source = os.path.join(clone_dir, library['documentation_path'])\n",
+    "            doc_dest = os.path.join('libraries_documentation', library['name'])\n",
+    "\n",
+    "            # Create the destination directory if it doesn't exist\n",
+    "            os.makedirs(doc_dest, exist_ok=True)\n",
+    "\n",
+    "            # Move the documentation to the destination directory\n",
+    "            shutil.move(doc_source, doc_dest)\n",
+    "\n",
+    "get_code_from_github()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "'''\n",
+    "The following code block is responsible for loading, splitting, and indexing the documents.\n",
+    "'''\n",
+    "\n",
+    "'''\n",
+    "Create a DirectoryLoader object to load all .md and .mdx files from the 'libraries_documentation' directory.\n",
+    "The glob pattern \"**/*.md*\" is used to match any markdown file in the directory or its subdirectories.\n",
+    "The UnstructuredFileLoader class is used to load the files.\n",
+    "'''\n",
+    "loader = DirectoryLoader('./libraries_documentation', glob=\"**/*.md*\", show_progress=True, loader_cls=UnstructuredFileLoader)\n",
+    "\n",
+    "'''\n",
+    "Load the documents from the directory.\n",
+    "'''\n",
+    "print(\"Loading documents...\")\n",
+    "documents = loader.load()\n",
+    "\n",
+    "'''\n",
+    "Create a SpacyTextSplitter object to split the documents into chunks of 1000 characters.\n",
+    "'''\n",
+    "text_splitter = SpacyTextSplitter(chunk_size=1000)\n",
+    "\n",
+    "'''\n",
+    "Split the documents into chunks.\n",
+    "'''\n",
+    "print(\"Splitting documents...\")\n",
+    "docs = text_splitter.split_documents(documents)\n",
+    "\n",
+    "'''\n",
+    "Create an OpenAIEmbeddings object to generate embeddings for the documents.\n",
+    "'''\n",
+    "embeddings = OpenAIEmbeddings()\n",
+    "\n",
+    "'''\n",
+    "Initialize the Pinecone client with the API key and environment variables.\n",
+    "'''\n",
+    "pinecone.init(\n",
+    "    api_key=PINECONE_API_KEY,\n",
+    "    environment=PINECONE_ENVIRONMENT,\n",
+    ")\n",
+    "\n",
+    "'''\n",
+    "Set the name of the Pinecone index.\n",
+    "'''\n",
+    "index_name = PINECONE_INDEX\n",
+    "\n",
+    "'''\n",
+    "Create a Pinecone index from the documents and their embeddings.\n",
+    "'''\n",
+    "print(\"Creating index...\")\n",
+    "docsearch = Pinecone.from_documents(docs, embeddings, index_name=index_name)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/contributing.md b/contributing.md
index ba601c21d9..a6e0cccb36 100644
--- a/contributing.md
+++ b/contributing.md
@@ -10,6 +10,12 @@ To install requirements:
 
 ```bash
 poetry install
+```
+
+Install [`pre-commit`](https://pre-commit.com/) to run linting before pushing, e.g. with Homebrew:
+
+```bash
+brew install pre-commit
 poetry run pre-commit install
 ```
 
@@ -40,7 +46,7 @@ If you submit a PR, we'd love to feature your contribution on Twitter so please
 
 ## Linting and Typechecking
 
-We use [`black`](https://black.readthedocs.io/en/stable/) for linting. If you're using VSCode, code should auto-format automatically. Otherwise, run the following script before pushing:
+We use [`black`](https://black.readthedocs.io/en/stable/) for linting. If you're using [VSCode](https://code.visualstudio.com/docs/editor/codebasics#_formatting), code should auto-format automatically. Otherwise, run the following script before pushing:
 
 ```
 make lint_diff
diff --git a/docker/Dockerfile b/docker/Dockerfile
new file mode 100644
index 0000000000..6dc2563d61
--- /dev/null
+++ b/docker/Dockerfile
@@ -0,0 +1,8 @@
+FROM python:3.11-bullseye
+
+# get portaudio and ffmpeg
+RUN apt-get update \
+        && apt-get install -y libportaudio2 libportaudiocpp0 portaudio19-dev libasound-dev libsndfile1-dev ffmpeg \
+        && apt-get clean
+
+RUN pip install vocode
diff --git a/docs/action-agents.mdx b/docs/action-agents.mdx
deleted file mode 100644
index fa1827a911..0000000000
--- a/docs/action-agents.mdx
+++ /dev/null
@@ -1,96 +0,0 @@
----
-title: 'Action Agents'
-description: 'Empowering agents to take actions during conversations.'
----
-
-## Note: Support for actions is currently limited to `ChatGPTAgent`.
-
-## What are actions?
-
-Actions refer to specific tools an agent can execute during the conversation. These actions can encompass various activities like writing an email,
-scheduling an appointment, and so forth. They are implemented as classes derived from the `BaseAction` class.
-
-The `BaseAction` class is defined as follows:
-
-```python
-class BaseAction(Generic[ActionOutputType]):
-    def run(self, params: str) -> ActionOutputType:
-        raise NotImplementedError
-```
-
-Every action class derived from BaseAction must implement the run method, which is called to execute the action.
-Importantly, each action class should include a docstring for this method that explains the expected parameters.
-This docstring is critical as it provides the information that the AI will consume in its prompt when instructing the execution of the action.
-
-## Agent Actions
-
-The agent is responsible for managing and executing actions within a conversation. The agent consumes a configuration object at instantiation,
-which specifies the actions that the agent can perform.
-
-The agent configuration lists the actions available to the agent:
-
-```python
-class AgentConfig(AgentConfig, type=AgentType.Base.value):
-    actions: List[ActionType]
-    # ...
-```
-
-## `ActionsWorker`: how actions are executed and consumed
-
-The `ActionsWorker` class plays a crucial role in the async processing of actions within the system. It's a specialized form of the `InterruptibleWorker` class,
-designed to handle the execution of actions and passing results back to the agent.
-
-The `ActionsWorker` is initialized with an input queue and an output queue. It uses an `ActionFactory` instance to create and execute actions based on the inputs it receives.
-
-The flow of actions is as follows:
-
-1. Agent sends action requests to the `ActionsWorker` through the worker's input queue.
-2. `ActionsWorker` reads the action request from the input queue. It then creates an instance of the appropriate action using the `ActionFactory`, and executes it using the provided parameters.
-3. The executed action returns an `ActionOutput` object which encapsulates the result of the action.
-4. `ActionsWorker` creates an `ActionResultAgentInput` from the `ActionOutput`, and puts it in its output queue.
-5. The agent then consumes the `ActionResultAgentInput` from the queue in its process method. This
-   result is added to the transcript of the conversation, and can influence the behavior of the agent in subsequent interactions.
-
-### Implementing your own action: Nylas email example
-
-In this section, we provide an example of an action, `NylasSendEmail`, which extends the `BaseAction` class. It implements the run method to send an email using the Nylas API.
-
-```python
-class NylasSendEmail(BaseAction[NylasSendEmailActionOutput]):
-    def run(self, params: str) -> NylasSendEmailActionOutput:
-        """Sends an email using Nylas API.
-        The input to this action is a pipe separated list of the recipient email, email body, optional subject. But always include
-        the pipe character even if the subject or message IDs are not included and just leave it blank.
-        The subject should only be included if it is a new email thread.
-        If there is no message id, the email will be sent as a new email. Otherwise, it will be sent as a reply to the given message. Make sure to include the previous message_id
-        if you are replying to an email.
-
-        For example, `recipient@example.com|Hello, this is the email body.|this is the subject` would send an email to recipient@example.com with the provided body and subject.
-        """
-        recipient_email, email_body, email_subject = params.split("|")
-
-        from nylas import APIClient
-
-        # Initialize the Nylas client
-        nylas = APIClient(
-            client_id=os.getenv("NYLAS_CLIENT_ID"),
-            client_secret=os.getenv("NYLAS_CLIENT_SECRET"),
-            access_token=os.getenv("NYLAS_ACCESS_TOKEN"),
-        )
-
-        # Create the email draft
-        draft = nylas.drafts.create()
-        draft.body = email_body
-
-        draft.subject = (
-            email_subject.strip() if email_subject.strip() else "Email from Vocode"
-        )
-        draft.to = [{"email": recipient_email.strip()}]
-
-        # Send the email
-        draft.send()
-
-        return NylasSendEmailActionOutput(response=json.dumps({"success": True}))
-```
-
-See [Agent Factory](/agent-factory) for more information on how to register your action with the agent factory.
diff --git a/docs/action-triggers.mdx b/docs/action-triggers.mdx
new file mode 100644
index 0000000000..3dd2015239
--- /dev/null
+++ b/docs/action-triggers.mdx
@@ -0,0 +1,83 @@
+---
+title: "Action Triggers"
+description: "Configure Vocode actions to run based on different triggers"
+---
+
+# Phrase Triggers
+
+Phrase triggers allow users to more explicitly control the behavior of their agents by configuring actions to run only once a bot has spoken a particular phrase. For example, you can configure an agent to transfer a call to a human agent only after the bot has said "I will transfer now".
+
+## Creating a phrase trigger
+
+You can create a phrase trigger as follows:
+
+```python
+from vocode import (
+    PhraseBasedActionTrigger,
+    PhraseBasedActionTriggerConfig,
+    PhraseTrigger,
+)
+
+phrase_trigger = PhraseBasedActionTrigger(
+    config=PhraseBasedActionTriggerConfig(
+        phrase_triggers=[
+            PhraseTrigger(
+                phrase="I will transfer now",
+                conditions=["phrase_condition_type_contains"],
+            ),
+            PhraseTrigger(
+                phrase="You can speak to a human now",
+                conditions=["phrase_condition_type_contains"],
+            )
+        ]
+    )
+)
+```
+
+In this example, the action that this phrase trigger is attached to will fire only after the bot has spoken a turn that contains "I will transfer now" or "You can speak to a human now".
+
+`"phrase_condition_type_contains"` is the only condition type supported at this time, and does not match case, so in the above example, if the bot said "Okay, you can speak to a human now", the phrase trigger would still fire.
+
+## Configuring your action
+
+```python
+from vocode import (
+    TransferCallActionParams,
+    TransferCallConfig,
+)
+
+vocode_client.agents.update_agent(
+    actions=[
+        TransferCallActionParams(
+            type="action_transfer_call",
+            config=TransferCallConfig(
+                transfer_phone_number="<YOUR TRANSFER PHONE NUMBER>",
+            ),
+            action_trigger=phrase_trigger # from the previous code block
+        )
+    ]
+)
+```
+
+# [Default] Function Call Triggers
+
+To switch back to the default behavior, use a `FunctionCallActionTrigger`. These are open ended, meaning the
+Agent will decide when to use the action based on its prompting. Note that is is primarily achieved via the [Prompt](/prompts)
+but for [External Actions](/external-actions), it is also dependent on the description field.
+
+```python
+from vocode import FunctionCallActionTrigger
+
+function_trigger = FunctionCallActionTrigger(config={})
+vocode_client.agents.update_agent(
+    actions=[
+        TransferCallActionParams(
+            type="action_transfer_call",
+            config=TransferCallConfig(
+                transfer_phone_number="<YOUR TRANSFER PHONE NUMBER>",
+            ),
+            action_trigger=function_trigger
+        )
+    ]
+)
+```
diff --git a/docs/actions.mdx b/docs/actions.mdx
new file mode 100644
index 0000000000..c58d5c8111
--- /dev/null
+++ b/docs/actions.mdx
@@ -0,0 +1,221 @@
+---
+title: "Actions"
+description: "Give your agents the ability to execute actions"
+---
+
+Vocode agents can decide to take actions synchronously during calls. There are two ways to configure actions:
+
+1. Phrase Triggers
+2. Function Call Triggers (default)
+
+See [Action Triggers](/action-triggers) for information on how to configure triggers. Below is the list of actions that an agent can perform:
+
+#### EndConversation
+
+`EndConversation` allows the agent to end the call, e.g. if the user says "Goodbye!"
+
+  <CodeGroup>
+
+```python Python
+vocode_client.actions.create_action(
+  request={
+      "type": "action_end_conversation",
+  }
+)
+```
+
+```typescript TypeScript
+const number = await vocode.actions.createAction({
+  type: "action_end_conversation",
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/actions/create \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "type": "action_end_conversation"
+}'
+```
+
+</CodeGroup>
+
+#### DTMF
+
+`DTMF` allows the agent to hit dial tones during a call, e.g. navigating a phone tree
+
+  <CodeGroup>
+
+```python Python
+vocode_client.actions.create_action(
+  request={
+      "type":"action_dtmf",
+  }
+)
+```
+
+```typescript TypeScript
+const number = await vocode.actions.createAction({
+  type: "action_dtmf",
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/actions/create \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "type": "action_dtmf"
+}'
+```
+
+</CodeGroup>
+
+#### TransferCall
+
+`TransferCall` allows the agent to transfer the call to another phone number
+
+  <CodeGroup>
+
+```python Python
+vocode_client.actions.create_action(
+  request={
+      "type":"action_transfer_call",
+      "config":{
+          "phone_number":"11234567890"
+      }
+  }
+)
+```
+
+```typescript TypeScript
+const number = await vocode.actions.createAction({
+  type: "action_transfer_call",
+  config: {
+    phoneNumber: "11234567890",
+  },
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/actions/create \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "type": "action_transfer_call",
+  "config": {
+    "phone_number": "11234567890"
+  }
+}'
+```
+
+</CodeGroup>
+
+You can attach these as IDs to your phone number agent as follows:
+
+  <CodeGroup>
+
+```python Python
+from vocode import AgentUpdateParams
+
+vocode_client.numbers.update_number(
+  phone_number="11234567890",
+  inbound_agent=AgentUpdateParams(
+      actions=["<ACTION UUID>"]
+  )
+)
+```
+
+```typescript TypeScript
+vocode.numbers.updateNumber({
+  phoneNumber: "11234567890",
+  inboundAgent: {
+    actions: ["<ACTION UUID>"],
+  },
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/numbers/update?phone_number=11234567890 \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "inbound_agent": {
+    "actions": ["<ACTION UUID>"]
+  }
+}'
+```
+
+</CodeGroup>
+
+You can also add these as actions as raw payloads as follows:
+
+  <CodeGroup>
+
+```python Python
+from vocode import AgentUpdateParams, TransferCallActionUpdateParams
+
+vocode_client.numbers.update_number(
+  phone_number="11234567890",
+  inbound_agent=AgentUpdateParams(
+      actions=[TransferCallActionUpdateParams(
+          type="action_transfer_call",
+          config={
+              "phone_number":"11234567890"
+          }
+      )]
+  )
+)
+```
+
+```typescript TypeScript
+vocode.numbers.updateNumber({
+  phoneNumber: "11234567890",
+  inboundAgent: {
+    actions: [
+      {
+        type: "action_transfer_call",
+        config: {
+          phoneNumber: "11234567890",
+        },
+      },
+    ],
+  },
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/numbers/update?phone_number=11234567890 \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "inbound_agent": {
+    "actions": [{
+      "type": "action_transfer_call",
+      "config": {
+          "phone_number": "11234567890"
+      }
+    }]
+  }
+}'
+```
+
+</CodeGroup>
+
+#### [Beta] ExternalAction
+
+`ExternalAction` allows your agent communicate with an External API and include the response as context in the conversation.
+
+See [External Actions](/external-actions).
+
+#### [Beta] Warm Transfer
+
+Allows your agent to conference in another party into the call.
+
+See [Warm Transfer](/warm-transfer).
diff --git a/docs/agent-factory.mdx b/docs/agent-factory.mdx
deleted file mode 100644
index 7b0c25d7c5..0000000000
--- a/docs/agent-factory.mdx
+++ /dev/null
@@ -1,42 +0,0 @@
----
-title: 'Connecting Your Agent'
-description: 'How to link a custom agent to your app'
----
-
-# Agent Factories
-
-Agent factories specify which agents are available to your app. In order to connect an agent to your app, you must first define an agent factory. To do so, subclass the [`AgentFactory`](https://github.com/vocodedev/vocode-python/blob/main/vocode/streaming/agent/factory.py) class to specify how agents are created. Here you can import and use your own custom agents.
-
-## Example
-
-First define your `AgentFactory`:
-
-```python
-from vocode.streaming.agent.factory import AgentFactory
-
-class MyAgentFactory(AgentFactory):
-    def __init__(self, agent_config: AgentConfig, action_factory: MyActionFactory):
-        self.agent_config = agent_config
-        self.action_factory = action_factory
-
-    def create_agent(
-        self, agent_config: AgentConfig, logger: Optional[logging.Logger] = None
-    ) -> BaseAgent:
-        if agent_config.type == "MY_ACTION":
-            return MyActionAgent(
-                agent_config=typing.cast(ActionAgentConfig, self.agent_config),
-                action_factory=self.action_factory
-            )
-        raise Exception("Invalid agent config")
-```
-
-Then, in your app, you can connect the agent to the app:
-
-```python
-
-telephony_server = TelephonyServer(
-    agent_factory=MyAgentFactory(
-        agent_config=agent_config, action_factory=action_factory),
-    ...
-)
-```
diff --git a/docs/agent-reference.mdx b/docs/agent-reference.mdx
deleted file mode 100644
index faaf111cef..0000000000
--- a/docs/agent-reference.mdx
+++ /dev/null
@@ -1,59 +0,0 @@
----
-title: "Agent Reference"
-description: "🚧 Under construction"
----
-
-# `AgentConfig`
-
-<ParamField body="initial_message" type="Optional[BaseMessage]">
-  placeholder
-</ParamField>
-
-<ParamField body="generate_responses" type="bool">
-  placeholder
-</ParamField>
-<ParamField body="allowed_idle_time_seconds" type="Optional[float]">
-  placeholder
-</ParamField>
-<ParamField body="allow_agent_to_be_cut_off" type="bool">
-  placeholder
-</ParamField>
-<ParamField body="end_conversation_on_goodbye" type="bool">
-  placeholder
-</ParamField>
-<ParamField body="send_filler_audio" type="Union[bool, FillerAudioConfig]">
-  placeholder
-</ParamField>
-<ParamField body="webhook_config" type="Optional[WebhookConfig]">
-  placeholder
-</ParamField>
-<ParamField body="track_bot_sentiment" type="bool">
-  placeholder
-</ParamField>
-
-# `LLMAgentConfig`
-
-<ParamField body="prompt_preamble" type="str">
-  placeholder
-</ParamField>
-<ParamField body="expected_first_prompt" type="Optional[str]">
-  placeholder
-</ParamField>
-<ParamField body="model_name" type="str">
-  placeholder
-</ParamField>
-<ParamField body="temperature" type="float">
-  placeholder
-</ParamField>
-<ParamField body="max_tokens" type="int">
-  placeholder
-</ParamField>
-<ParamField body="cut_off_response" type="Optional[CutOffResponse]">
-  placeholder
-</ParamField>
-
-# `RESTfulUserImplementedAgentConfig`
-
-<ParamField body="respond" type="EndpointConfig">
-  placeholder
-</ParamField>
diff --git a/docs/agents.mdx b/docs/agents.mdx
new file mode 100644
index 0000000000..f0fbc935c7
--- /dev/null
+++ b/docs/agents.mdx
@@ -0,0 +1,34 @@
+---
+title: "Agents"
+description: "Powerful AI assistants that you can control"
+---
+
+# What are agents
+
+Vocode Agents are the core component of the Vocode API. Agents can be deployed to receive
+phone calls by attaching them to [Numbers](/numbers). Agents can also be used to make outbound calls
+via the `calls/create` endpoint.
+
+At its core, the agent is an amalgamation of everything you need to build powerful AI assistants for
+your use cases:
+
+- [Prompts](/prompts) – instructions given to the agent that control its behavior.
+- [Voices](/voices) – the synthetic voice given to your agent.
+- [Webhooks](/webhooks) – mechanism by which you can subscribe to agent events.
+- [Conversational Dials](/conversational-dials) – controls for how the agent communicates, like its interruption sensitivity.
+- [Actions](/actions) – tools available to your agent, like endint the conversation or transferring the call.
+
+# How to configure an agent
+
+Agents can be configured via our [Dashboard](/dashboard) or via API. As with all of our API objects, Agents have
+`list`, `get`, `create`, and `update` endpoints that allow you to manipulate them as you see fit.
+
+In addition to the other API objects enumerated above, agents have other reference fields that can be used to control
+agent behavior:
+
+- `language` sets the agent language (for more context see [Multilingual Agents](/multilingual))
+- `initial_message` controls the agents first utterance.
+- `initial_message_delay` adds a delay to the initial message from when the call begins
+- `ask_if_human_present_on_idle` allows the agent to speak when there is more than 15s of silence on the call
+- `llm_temperature` controls the behavior of the underlying language model. Values can range from 0 to 1, with higher
+  values leading to more diverse and creative results. Lower values generate more consistent outputs.
diff --git a/docs/api-reference/account_connections/create-account-connection.mdx b/docs/api-reference/account_connections/create-account-connection.mdx
new file mode 100644
index 0000000000..b80be41ef1
--- /dev/null
+++ b/docs/api-reference/account_connections/create-account-connection.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/account_connections/create
+---
\ No newline at end of file
diff --git a/docs/api-reference/account_connections/get-account-connection.mdx b/docs/api-reference/account_connections/get-account-connection.mdx
new file mode 100644
index 0000000000..58ada25026
--- /dev/null
+++ b/docs/api-reference/account_connections/get-account-connection.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/account_connections
+---
\ No newline at end of file
diff --git a/docs/api-reference/account_connections/list-account-connections.mdx b/docs/api-reference/account_connections/list-account-connections.mdx
new file mode 100644
index 0000000000..22b3bfd2ea
--- /dev/null
+++ b/docs/api-reference/account_connections/list-account-connections.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/account_connections/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/account_connections/update-account-connection.mdx b/docs/api-reference/account_connections/update-account-connection.mdx
new file mode 100644
index 0000000000..1cf3289b69
--- /dev/null
+++ b/docs/api-reference/account_connections/update-account-connection.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/account_connections/update
+---
\ No newline at end of file
diff --git a/docs/api-reference/actions/create-action.mdx b/docs/api-reference/actions/create-action.mdx
new file mode 100644
index 0000000000..7004502fb8
--- /dev/null
+++ b/docs/api-reference/actions/create-action.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/actions/create
+---
\ No newline at end of file
diff --git a/docs/api-reference/actions/get-action.mdx b/docs/api-reference/actions/get-action.mdx
new file mode 100644
index 0000000000..3c178ab0a3
--- /dev/null
+++ b/docs/api-reference/actions/get-action.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/actions
+---
\ No newline at end of file
diff --git a/docs/api-reference/actions/list-actions.mdx b/docs/api-reference/actions/list-actions.mdx
new file mode 100644
index 0000000000..2787766819
--- /dev/null
+++ b/docs/api-reference/actions/list-actions.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/actions/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/actions/update-action.mdx b/docs/api-reference/actions/update-action.mdx
new file mode 100644
index 0000000000..4f6c699418
--- /dev/null
+++ b/docs/api-reference/actions/update-action.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/actions/update
+---
\ No newline at end of file
diff --git a/docs/api-reference/agents/create-agent.mdx b/docs/api-reference/agents/create-agent.mdx
new file mode 100644
index 0000000000..ca3436ce00
--- /dev/null
+++ b/docs/api-reference/agents/create-agent.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/agents/create
+---
\ No newline at end of file
diff --git a/docs/api-reference/agents/get-agent.mdx b/docs/api-reference/agents/get-agent.mdx
new file mode 100644
index 0000000000..430a296e1f
--- /dev/null
+++ b/docs/api-reference/agents/get-agent.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/agents
+---
\ No newline at end of file
diff --git a/docs/api-reference/agents/list-agents.mdx b/docs/api-reference/agents/list-agents.mdx
new file mode 100644
index 0000000000..7dfc2ed372
--- /dev/null
+++ b/docs/api-reference/agents/list-agents.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/agents/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/agents/update-agent.mdx b/docs/api-reference/agents/update-agent.mdx
new file mode 100644
index 0000000000..7aae67bd3f
--- /dev/null
+++ b/docs/api-reference/agents/update-agent.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/agents/update
+---
\ No newline at end of file
diff --git a/docs/api-reference/calls/create-call.mdx b/docs/api-reference/calls/create-call.mdx
new file mode 100644
index 0000000000..fe6c67a847
--- /dev/null
+++ b/docs/api-reference/calls/create-call.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/calls/create
+---
\ No newline at end of file
diff --git a/docs/api-reference/calls/end-call.mdx b/docs/api-reference/calls/end-call.mdx
new file mode 100644
index 0000000000..ab86c29499
--- /dev/null
+++ b/docs/api-reference/calls/end-call.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/calls/end
+---
\ No newline at end of file
diff --git a/docs/api-reference/calls/get-call.mdx b/docs/api-reference/calls/get-call.mdx
new file mode 100644
index 0000000000..ed1f7574ec
--- /dev/null
+++ b/docs/api-reference/calls/get-call.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/calls
+---
\ No newline at end of file
diff --git a/docs/api-reference/calls/get-recording.mdx b/docs/api-reference/calls/get-recording.mdx
new file mode 100644
index 0000000000..ec63124904
--- /dev/null
+++ b/docs/api-reference/calls/get-recording.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/calls/recording
+---
\ No newline at end of file
diff --git a/docs/api-reference/calls/list-calls.mdx b/docs/api-reference/calls/list-calls.mdx
new file mode 100644
index 0000000000..e61154204e
--- /dev/null
+++ b/docs/api-reference/calls/list-calls.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/calls/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/numbers/buy-number.mdx b/docs/api-reference/numbers/buy-number.mdx
new file mode 100644
index 0000000000..3ebd7b4b14
--- /dev/null
+++ b/docs/api-reference/numbers/buy-number.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/numbers/buy
+---
\ No newline at end of file
diff --git a/docs/api-reference/numbers/cancel-number.mdx b/docs/api-reference/numbers/cancel-number.mdx
new file mode 100644
index 0000000000..01a1ac41db
--- /dev/null
+++ b/docs/api-reference/numbers/cancel-number.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/numbers/cancel
+---
\ No newline at end of file
diff --git a/docs/api-reference/numbers/get-number.mdx b/docs/api-reference/numbers/get-number.mdx
new file mode 100644
index 0000000000..f42acde938
--- /dev/null
+++ b/docs/api-reference/numbers/get-number.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/numbers
+---
\ No newline at end of file
diff --git a/docs/api-reference/numbers/link-number.mdx b/docs/api-reference/numbers/link-number.mdx
new file mode 100644
index 0000000000..416dce7b23
--- /dev/null
+++ b/docs/api-reference/numbers/link-number.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/numbers/link
+---
\ No newline at end of file
diff --git a/docs/api-reference/numbers/list-numbers.mdx b/docs/api-reference/numbers/list-numbers.mdx
new file mode 100644
index 0000000000..d349670491
--- /dev/null
+++ b/docs/api-reference/numbers/list-numbers.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/numbers/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/numbers/update-number.mdx b/docs/api-reference/numbers/update-number.mdx
new file mode 100644
index 0000000000..6b2ff2b462
--- /dev/null
+++ b/docs/api-reference/numbers/update-number.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/numbers/update
+---
\ No newline at end of file
diff --git a/docs/api-reference/prompts/create-prompt.mdx b/docs/api-reference/prompts/create-prompt.mdx
new file mode 100644
index 0000000000..921410a464
--- /dev/null
+++ b/docs/api-reference/prompts/create-prompt.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/prompts/create
+---
\ No newline at end of file
diff --git a/docs/api-reference/prompts/get-prompt.mdx b/docs/api-reference/prompts/get-prompt.mdx
new file mode 100644
index 0000000000..1029de9255
--- /dev/null
+++ b/docs/api-reference/prompts/get-prompt.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/prompts
+---
\ No newline at end of file
diff --git a/docs/api-reference/prompts/list-prompts.mdx b/docs/api-reference/prompts/list-prompts.mdx
new file mode 100644
index 0000000000..14c35f5572
--- /dev/null
+++ b/docs/api-reference/prompts/list-prompts.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/prompts/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/prompts/update-prompt.mdx b/docs/api-reference/prompts/update-prompt.mdx
new file mode 100644
index 0000000000..67cc952d2a
--- /dev/null
+++ b/docs/api-reference/prompts/update-prompt.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/prompts/update
+---
\ No newline at end of file
diff --git a/docs/api-reference/usage/get-usage.mdx b/docs/api-reference/usage/get-usage.mdx
new file mode 100644
index 0000000000..a07bc068d6
--- /dev/null
+++ b/docs/api-reference/usage/get-usage.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/usage
+---
\ No newline at end of file
diff --git a/docs/api-reference/vector_databases/create-vector-database.mdx b/docs/api-reference/vector_databases/create-vector-database.mdx
new file mode 100644
index 0000000000..0c718b4bb7
--- /dev/null
+++ b/docs/api-reference/vector_databases/create-vector-database.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/vector_databases/create
+---
\ No newline at end of file
diff --git a/docs/api-reference/vector_databases/get-vector-database.mdx b/docs/api-reference/vector_databases/get-vector-database.mdx
new file mode 100644
index 0000000000..366104a3e2
--- /dev/null
+++ b/docs/api-reference/vector_databases/get-vector-database.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/vector_databases
+---
\ No newline at end of file
diff --git a/docs/api-reference/vector_databases/list-vector-databases.mdx b/docs/api-reference/vector_databases/list-vector-databases.mdx
new file mode 100644
index 0000000000..27c7325a8a
--- /dev/null
+++ b/docs/api-reference/vector_databases/list-vector-databases.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/vector_databases/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/vector_databases/update-vector-database.mdx b/docs/api-reference/vector_databases/update-vector-database.mdx
new file mode 100644
index 0000000000..503cebafa4
--- /dev/null
+++ b/docs/api-reference/vector_databases/update-vector-database.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/vector_databases/update
+---
\ No newline at end of file
diff --git a/docs/api-reference/voices/create-voice.mdx b/docs/api-reference/voices/create-voice.mdx
new file mode 100644
index 0000000000..366f68ab1a
--- /dev/null
+++ b/docs/api-reference/voices/create-voice.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/voices/create
+---
\ No newline at end of file
diff --git a/docs/api-reference/voices/get-voice.mdx b/docs/api-reference/voices/get-voice.mdx
new file mode 100644
index 0000000000..a336ca114e
--- /dev/null
+++ b/docs/api-reference/voices/get-voice.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/voices
+---
\ No newline at end of file
diff --git a/docs/api-reference/voices/list-voices.mdx b/docs/api-reference/voices/list-voices.mdx
new file mode 100644
index 0000000000..a34e94606d
--- /dev/null
+++ b/docs/api-reference/voices/list-voices.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/voices/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/voices/update-voice.mdx b/docs/api-reference/voices/update-voice.mdx
new file mode 100644
index 0000000000..2d9c0a2d8d
--- /dev/null
+++ b/docs/api-reference/voices/update-voice.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/voices/update
+---
\ No newline at end of file
diff --git a/docs/api-reference/webhooks/create-webhook.mdx b/docs/api-reference/webhooks/create-webhook.mdx
new file mode 100644
index 0000000000..b3292bef72
--- /dev/null
+++ b/docs/api-reference/webhooks/create-webhook.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/webhooks/create
+---
\ No newline at end of file
diff --git a/docs/api-reference/webhooks/get-webhook.mdx b/docs/api-reference/webhooks/get-webhook.mdx
new file mode 100644
index 0000000000..9df28e4b8a
--- /dev/null
+++ b/docs/api-reference/webhooks/get-webhook.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/webhooks
+---
\ No newline at end of file
diff --git a/docs/api-reference/webhooks/list-webhooks.mdx b/docs/api-reference/webhooks/list-webhooks.mdx
new file mode 100644
index 0000000000..f02210b5a4
--- /dev/null
+++ b/docs/api-reference/webhooks/list-webhooks.mdx
@@ -0,0 +1,3 @@
+---
+openapi: get /v1/webhooks/list
+---
\ No newline at end of file
diff --git a/docs/api-reference/webhooks/update-webhook.mdx b/docs/api-reference/webhooks/update-webhook.mdx
new file mode 100644
index 0000000000..0481ac2c55
--- /dev/null
+++ b/docs/api-reference/webhooks/update-webhook.mdx
@@ -0,0 +1,3 @@
+---
+openapi: post /v1/webhooks/update
+---
\ No newline at end of file
diff --git a/docs/bring-your-own-openai.mdx b/docs/bring-your-own-openai.mdx
new file mode 100644
index 0000000000..7c6b0e74c4
--- /dev/null
+++ b/docs/bring-your-own-openai.mdx
@@ -0,0 +1,90 @@
+---
+title: "[Enterprise] Bring Your Own OpenAI API Keys"
+description: "Use your own OpenAI keys and models with Vocode"
+---
+
+You can connect your own OpenAI account with Vocode. With your own OpenAI account, you can use your own OpenAI models including custom, fine-tuned models!
+
+***NOTE:** This feature is only enabled for users on an Enterprise plan.*
+
+## Step 1: Add an OpenAI account connection
+
+Vocode uses account connections to manage your account parameters and associate them with phone numbers and calls. You can add multiple account connections if you have multiple OpenAI accounts you would like to integrate. You can quickly add an account connection [via our API](https://api.vocode.dev/docs#/account_connections/create_account_connection) by providing an OpenAI API key.
+
+
+```python
+from vocode.client import Vocode
+
+vocode_client.account_connections.create_account_connection(
+    request={
+        "type": "account_connection_openai",
+        "credentials": {
+            "openai_api_key": "YOUR_OPENAI_API_KEY",
+        },
+    }
+)
+```
+
+`create_account_connection` will return the parameters for your new account connection, including an `id`, which is necessary for the following steps.
+
+## Step 2: Use the OpenAI account connection with your agent
+
+To use the new account connection with your calls, you need to configure your agents with the account connection. You can do so when you create a new agent or update an existing agent via the `openai_account_connection` parameter.
+
+<CodeGroup>
+```python Create Agent
+vocode_client.agents.create_agent(
+    voice="...",
+    prompt={
+        "content": "...",
+    },
+    openai_account_connection="YOUR_ACCOUNT_CONNECTION_ID",
+)
+```
+
+```python Update Agent
+from vocode import AgentUpdateParams
+
+vocode_client.agents.update_agent(
+    id="YOUR_AGENT_ID",
+    request=AgentUpdateParams(
+        openai_account_connection="YOUR_ACCOUNT_CONNECTION_ID",
+    ),
+)
+```
+</CodeGroup>
+
+Any calls with this agent will now use your OpenAI account.
+
+### Use your own OpenAI models
+
+You can add your own OpenAI models to your agents using the `openai_model_name_override` parameter when creating or updating your agents. These models can be the base OpenAI models (e.g. gpt-3.5-turbo-1106, gpt-4) or your own fine-tuned models.
+
+***NOTE:** A model name override can only be used if you add your own OpenAI account connection to the agent. Model overrides do not work when using Vocode's OpenAI system.*
+
+<CodeGroup>
+```python Create Agent
+vocode_client.agents.create_agent(
+    voice="...",
+    prompt={
+        "content": "...",
+    },
+    openai_account_connection="YOUR_ACCOUNT_CONNECTION_ID",
+    openai_model_name_override="ft:your_ft_model_name"
+)
+```
+
+```python Update Agent
+from vocode import AgentUpdateParams
+
+vocode_client.agents.update_agent(
+    id="YOUR_AGENT_ID",
+    request=AgentUpdateParams(
+        openai_account_connection="YOUR_ACCOUNT_CONNECTION_ID", # if not already updated
+        openai_model_name_override="gpt-4-1106-preview"
+    ),
+)
+```
+</CodeGroup>
+
+Now, your Vocode calls with this agent will use your own OpenAI account and your own OpenAI models!
diff --git a/docs/bring-your-own-telephony.mdx b/docs/bring-your-own-telephony.mdx
new file mode 100644
index 0000000000..8cb3e0c88f
--- /dev/null
+++ b/docs/bring-your-own-telephony.mdx
@@ -0,0 +1,70 @@
+---
+title: "[Enterprise] Bring Your Own Telephony"
+description: "Use your own Twilio account and phone numbers with Vocode"
+---
+
+You can connect your own external Twilio accounts with Vocode, enabling you to send and receive calls on your own phone numbers and store recordings in your Twilio account.
+
+***NOTE:** This feature is only enabled for users on an Enterprise plan.*
+
+## Step 1: Add a Twilio account connection
+
+Vocode uses account connections to manage your account parameters and associate them with phone numbers and calls. You can add multiple account connections if you have multiple Twilio accounts you would like to integrate. You can quickly add an account connection [via our API](https://api.vocode.dev/docs#/account_connections/create_account_connection) by providing your account SID and an auth token.
+
+
+```python
+from vocode.client import Vocode
+
+vocode_client.account_connections.create_account_connection(
+    request={
+        "type": "account_connection_twilio",
+        "credentials": {
+            "twilio_account_sid": "YOUR_ACCOUNT_SID",
+            "twilio_auth_token": "YOUR_AUTH_TOKEN",
+        },
+    }
+)
+```
+
+`create_account_connection` will return the parameters for your new account connection, including an `id`, which is necessary for the following steps.
+
+## Step 2: Link existing Twilio numbers to Vocode
+
+Vocode now can make calls with your Twilio account, but our system needs to know which numbers to configure and use. We provide the `/v1/numbers/link` [endpoint](https://api.vocode.dev/docs#/numbers/link_number) to add these numbers to our system. You simply need to provide the phone number, your account connection id, and whether or not the phone number should be outbound only.
+
+```python Python
+vocode_client.numbers.link_number(
+    phone_number="1234567890",
+    telephony_account_connection="YOUR_ACCOUNT_CONNECTION_ID",
+    outbound_only=True
+)
+```
+
+You can now use this phone number for outbound calls (and inbound if you have it configured).
+
+
+## Step 3: View your call objects
+
+After making a call with your newly added number, you can see two new fields in your call object:
+- **Telephony Account Connection:** The account connection object associated with the call
+- **Telephony ID:** The Twilio call SID corresponding to the Vocode call
+
+```json
+{
+    id: 'call_id',
+    userId: 'user_id',
+    toNumber: '123456789',
+    fromNumber: '123456789',
+    ...
+    telephonyId: 'telephony_id',
+    telephonyAccountConnection: {
+        'id': 'account_connection_id', 
+        'user_id': 'user_id', 
+        'credentials': {
+            'twilio_account_sid': 'YOUR_TWILIO_ACCOUNT_SID',
+            'twilio_auth_token': 'YOUR_TWILIO_AUTH_TOKEN'
+        }, 
+        'type': 'account_connection_twilio'
+    }
+}
+```
diff --git a/docs/configuring-number.mdx b/docs/configuring-number.mdx
new file mode 100644
index 0000000000..24febbdda5
--- /dev/null
+++ b/docs/configuring-number.mdx
@@ -0,0 +1,138 @@
+---
+title: "Configuring your number"
+description: "Setting up our agent to function as a receptionist"
+---
+
+Now that we have a number set up on Vocode, our agent is ready to start accepting calls. Vocode [Agents](/agents)
+have several different parameters we can use to control its behavior. We're going to be setting up our receptionist
+by modifying:
+
+1. Voice -> this is the voice of our agent
+2. Prompt -> the prompt is the instruction we give our agent that controls its behavior
+3. Actions -> actions are things that the agent **_can do_** like end the conversation or
+   make an API request to an external service (like a calendar booking software)
+
+## Setting up our receptionist
+
+### Voice
+
+First, let's create a new voice via [ElevenLabs](https://elevenlabs.io) and grab the voice ID.
+
+```
+voice = vocode_client.voices.create_voice(
+    request={
+        "type": "voice_eleven_labs",
+        "voice_id": "06oPEcZqPWhZ2IeTcOJc",
+        "stability": ".2",
+        "similarity_boost": ".75",
+        "model_id": "eleven_turbo_v2",
+        "optimize_streaming_latency": "4",
+    }
+)
+
+voice_id = voice.id
+```
+
+For other voice options curated by Vocode, check out our page on [Voices](/voices). Voice clones are also available on demand
+for enterprise accounts.
+
+### Prompt
+
+The prompt is how our agent will know what instructions to follow on the call. We're going to set up a prompt suitable for a
+receptionist agent and create a prompt object in the API:
+
+```
+PROMPT = """
+sample prompt
+"""
+
+prompt = vocode_client.prompts.create_prompt(request={"content": PROMPT})
+prompt_id = prompt.id
+```
+
+For more guidance on how prompts work check out our guide on [Prompt Objects](/prompts) and [Prompt Engineering](/prompt-engineering).
+
+### Actions
+
+Finally, for our receptionist to be complete, we're going to want to give it the ability to actually do two things:
+
+1. End the conversation
+2. Make an API call to our calendar software to book calendar appointments.
+
+Let's set up both of these actions using the API:
+
+```python
+
+# This action ends the conversation
+end_conversation_action = vocode_client.actions.create_action(
+    request=ActionParamsRequest(type="action_end_conversation", config={})
+)
+
+# This action makes an API call to our calendar endpoint
+calendar_action = vocode_client.actions.create_action(
+    request={
+        "type": "action_external",
+        "config": {
+            "name": "Meeting_Booking_Assistant",
+            "description": ("Book a meeting for a 30 minute or 1 hour call."),
+            "url": "http://example.com/booking",
+            "speak_on_send": True,
+            "speak_on_receive": True,
+            "input_schema": {
+                "type": "object",
+                "properties": {
+                    "length": {
+                        "type": "string",
+                        "enum": ["30m", "1hr"],
+                    },
+                    "time": {
+                        "type": "string",
+                        "pattern": "^\d{2}:\d0[ap]m$",
+                    },
+                },
+            },
+        },
+    },
+)
+```
+
+For more information on how to set up actions, check out our [Actions](/actions) guide and our new beta feature
+[External Actions](/external-actions) which we are using here to make the calendar API call.
+
+## Updating our agent
+
+Now that we've created our voice, prompt, and actions, we can run a query to update our agent as follows. We'll
+also add an `initial_message` to our agent to greet people who call in.
+
+We'll have to first grab the `agent_id` in order to make the `agent/update` request. Here's how we can grab it from our
+phone number:
+
+```python
+number = vocode_client.numbers.get(phone_number="1123456789")
+agent_id = number.agent_id
+print(agent_id)
+```
+
+Which should output a UUID for our agent.
+
+```
+ad1d802e-12ab-41c7-8726-14e119d6c92c
+```
+
+And now we can use the `agent_id` in our update request as follows:
+
+```python
+INITIAL_MESSAGE = "Hi, this is a Vocode scheduling agent, how can I help you?"
+
+update_response = vocode_client.agents.update_agent(
+    id=agent_id,
+    request=AgentUpdateParams(
+        initial_message=INITIAL_MESSAGE,
+        prompt=prompt_id,
+        voice=voice_id,
+        actions=[end_conversation_action_id, external_action_id],
+    ),
+)
+```
+
+Now our agent is ready to be a receptionist! Check it out by giving it a call.
diff --git a/docs/conversational-dials.mdx b/docs/conversational-dials.mdx
new file mode 100644
index 0000000000..27cf9f90fb
--- /dev/null
+++ b/docs/conversational-dials.mdx
@@ -0,0 +1,54 @@
+---
+title: "Conversational Dials"
+description: "Customize your bot's conversational behavior"
+---
+
+The Vocode hosted API provides dials to tune the responsiveness and conversational mechanics of your agent. These parameters are as follows:
+- `interrupt_sensitivity`: How responsive the bot is to speech from the human
+- `endpointing_sensitivity`: Controls the sensitivity of detecting the end of the human's speech
+- `conversation_speed`: Determines how quickly the bot responds for its turns in the conversation.
+
+These parameters can be customized via the `create` and `update` agent APIs.
+
+## Interrupt Sensitivity
+
+Vocode phone agents are designed to handle interruptions from the humans, and the `interrupt_sensitivity` parameter controls how sensitive the bot is to these interruptions.
+
+Interrupt sensitivity has two options: **low** (default) and **high**. Low sensitivity makes the bot ignore backchannels (e.g. "sure", "uh-huh") while the bot is speaking.
+High sensitivity makes the agent treat any word from the human as an interruption.
+
+In summary:
+- **Possible values:** low, high
+- **Default value:** low
+- low = ignore non-interrupting words
+- high = stop at any word
+
+## Endpointing Sensitivity
+
+`endpointing_sensitivity` controls how the bot determines when the human is done speaking so it can kick off its response. It can be one of **sensitive**, **relaxed**, or **auto** (default and currently equivalent to relaxed). 
+
+A bot with `endpointing_sensitivity == 'sensitive'` treats the end of a sentence or a short pause as the end of the human's turn. This works well for quick conversations in which you expect short, single-sentence responses from the human.
+A bot with this sensitivity runs the risk of interrupting the human if they continue speaking after a single sentence.
+
+A bot with `endpointing_sensitivity == 'relaxed'` waits a short time after the end of a human's sentence before considering their turn over. Alternatively, when a sentence is not finished, relaxed sensitivity waits for a longer pause before marking the end of the human's speech.
+This sensitivity has less risk of interrupting the human but can potentially have a slower response time. Note that `auto` sensitivity is equivalent to relaxed.
+
+***Note:** the amount of time the agent waits during a pause adapts to the human's utterance speed. If the human speaks fast, the bot will wait less, and if the human speaks slow the bot will wait longer.*
+
+In summary:
+- **Possible values:** sensitive, relaxed, auto
+- **Default value:** auto
+- sensitive = end of first sentence or shorter pause
+- relaxed/auto = pause after end of first sentence or longer pause
+
+## Conversation Speed
+
+`conversation_speed` controls the length of endpointing pauses, i.e. how long the bot will wait before responding to the human. This includes normal utterances from the human as well as interruptions.
+
+The amount of time the bot waits inversely scales with the `conversation_speed` value. So a bot with `conversation_speed` of 2 responds in half the time compared to a `conversation_speed` of 1.
+Likewise a `conversation_speed` of 0.5 means the bot takes twice as long to respond.
+
+In summary:
+- **Possible values:** between 0.5 and 2
+- **Default value:** 1
+- Response time inversely scales with this value
\ No newline at end of file
diff --git a/docs/create-your-own-agent.mdx b/docs/create-your-own-agent.mdx
deleted file mode 100644
index 515b6fe751..0000000000
--- a/docs/create-your-own-agent.mdx
+++ /dev/null
@@ -1,90 +0,0 @@
----
-title: "Create your own AI Agent"
-description: "How to create a custom Agent for your use case."
----
-
-# Self-hosted
-
-You can subclass a [`RespondAgent`](https://github.com/vocodedev/vocode-python/blob/main/vocode/streaming/agent/base_agent.py#L140) to create a simple agent that can be passed into [`StreamingConversation`](https://github.com/vocodedev/vocode-python/blob/main/vocode/streaming/streaming_conversation.py) has the following interface:
-
-Here's one that responds with the same message no matter what is said to it:
-
-```python
-class BrokenRecordAgentConfig(AgentConfig, type="agent_broken_record"):
-    message: str
-
-
-class BrokenRecordAgent(RespondAgent[BrokenRecordAgentConfig]):
-
-    # is_interrupt is True when the human has just interrupted the bot's last response
-    def respond(
-        self, human_input, is_interrupt: bool = False
-    ) -> tuple[Optional[str], bool]:
-        return self.agent_config.message
-
-    def generate_response(
-        self, human_input, is_interrupt: bool = False
-    ) -> Generator[str, None, None]:
-        """Returns a generator that yields the agent's response one sentence at a time."""
-        yield self.agent_config.message
-```
-
-See [our other agent implementations](https://github.com/vocodedev/vocode-python/tree/main/vocode/streaming/agent) for more guidance!
-
-# Hosted (deprecated)
-
-NOTE: The hosted `RESTfulAgent` is being deprecated.
-
-Our library lets you easily host your agent so that the Vocode backend can use it to generate responses.
-Users will be responsible for implementing a `RESTfulAgent`.
-
-## RESTful Implementation (deprecated)
-
-Here is an example implementation of a `RESTfulAgent` that just echoes back whatever
-input it receives. Note that the `respond` method is expecting a `RESTfulAgentOutput` return value.
-The `conversation_id` parameter lets you store state about a single conversation across multiple calls.
-
-```python
-from vocode.streaming.user_implemented_agent.restful_agent import RESTfulAgent
-from vocode.streaming.models.agent import RESTfulAgentOutput, RESTfulAgentText, RESTfulAgentEnd
-
-class YourAgent(RESTfulAgent):
-
-    # input: the transcript from the Conversation that the agent must respond to
-    async def respond(self, input: str, conversation_id: str) -> RESTfulAgentOutput:
-        if "bye" in input:
-            return RESTfulAgentEnd()  ## ends the conversation
-        else:
-            return RESTfulAgentText(response=input)  ## responds with the input received
-```
-
-## Run your agent
-
-```
-if __name__ == "__main__":
-    agent = YourAgent()
-    agent.run(port=3000)
-```
-
-This sets up a [FastAPI](https://fastapi.tiangolo.com/) with either a POST endpoint or a websocket route at `/respond`.
-We'll use this in the next step.
-
-## Setting up your `AgentConfig`
-
-Now that your agent is running, you'll need to host it somewhere so that the Vocode backend can hit it.
-There are a variety of options to do this, here we'll describe using [ngrok](https://ngrok.com/) since it's the quickest. [Replit](https://replit.com/) is also a great option for this.
-
-```bash
-# make sure the agent from the last step is running
-ngrok http 3000
-```
-
-```python
-...
-agent_config=RESTfulUserImplementedAgentConfig(
-    respond=RESTfulUserImplementedAgentConfig.EndpointConfig(
-        url="<your ngrok url tunneling to localhost:3000>/respond",
-    )
-)
-...
-```
diff --git a/docs/do-not-call-detection.mdx b/docs/do-not-call-detection.mdx
new file mode 100644
index 0000000000..431a2eac11
--- /dev/null
+++ b/docs/do-not-call-detection.mdx
@@ -0,0 +1,52 @@
+---
+title: "Do Not Call Detection"
+description: "Configure whether or not to run automatic estimated Do Not Call analysis"
+---
+
+The Vocode API allows you to configure whether or not to run automatic rudimentary detection
+on outbound calls as to whether or not the receiving party has indicated they would like to
+be placed on a Do Not Call list. Additionally, if Do Not Call analysis was run on a call,
+the result will be populated into a field on the Call object returned from the Get Call endpoint.
+
+By default, if the `run_do_not_call_detection` argument is not supplied, Vocode will not run
+Do Not Call detection.
+
+# Example 1: Run Do Not Call detection on an outbound call, and retrieve the result
+
+The `run_do_not_call_detection` parameter on outbound call creation defines whether
+or not to run rudimentary Do Not Call analysis.
+
+```python
+from vocode import CreateCallAgentParams, PromptParams
+
+vocode_client.calls.create_call(
+    from_number="<YOUR VOCODE NUMBER>",
+    to_number="15555555555",
+    agent=CreateCallAgentParams(
+        prompt=PromptParams(
+            content="Ask Eliot if the sun is on today"
+        ),
+    ),
+    run_do_not_call_detection=True
+)
+```
+
+After the call has completed, we can query for calls as usual, and find the returned Call object
+has the Do Not Call detection result set:
+
+```python Python
+vocode_client.calls.get_call(id="CALL_ID")
+```
+
+returning:
+
+```json
+{
+  "id": "call_id",
+  "to_number": "123456789",
+  "from_number": "123456789",
+  ...
+  "do_not_call_result": true,
+  ...
+}
+```
diff --git a/docs/events-manager.mdx b/docs/events-manager.mdx
deleted file mode 100644
index d947e9848c..0000000000
--- a/docs/events-manager.mdx
+++ /dev/null
@@ -1,91 +0,0 @@
----
-title: "Events manager"
-description: "How events are emitted and consumed."
----
-
-## What is the Events Manager
-
-The Events Manager is a class designed to facilitate asynchronous handling of events in the application. It allows for non-blocking actions on events, such as processing transcripts, managing phone calls, and other tasks. The main components of the Events Manager are the `EventsManager` class and several `Event` subclasses representing various event types.
-
-## EventsManager Class
-
-The `EventsManager` class is responsible for managing the event queue and handling events asynchronously. The class provides methods for publishing events, starting the event loop, handling events, and ending the event loop.
-
-### Initialization
-
-```python
-def __init__(self, subscriptions: List[EventType] = []):
-    self.queue = asyncio.Queue()
-    self.subscriptions = set(subscriptions)
-    self.active = False
-```
-
-The `EventsManager` constructor accepts an optional list of `EventType` subscriptions. By default, it initializes an empty set of subscriptions, an asynchronous queue, and sets the `active` attribute to `False`.
-
-### Publishing Events
-
-```python
-def publish_event(self, event: Event):
-    if event.type in self.subscriptions:
-        self.queue.put_nowait(event)
-```
-
-The `publish_event` method takes an `Event` object as input and adds it to the queue if its type is in the set of subscribed event types.
-
-### Starting the Event Loop
-
-```python
-async def start(self):
-    self.active = True
-    while self.active:
-        try:
-            event: Event = await self.queue.get()
-        except asyncio.QueueEmpty:
-            await asyncio.sleep(1)
-        self.handle_event(event)
-```
-
-## Current Event Types
-
-The current event types include:
-
-1. `TRANSCRIPT`: Indicates a partial transcript for the conversation has been received.
-2. `TRANSCRIPT_COMPLETE`: Indicates the transcript is complete (ie conversation has ended).
-3. `PHONE_CALL_CONNECTED`: Indicates a phone call has been connected.
-4. `PHONE_CALL_ENDED`: Indicates a phone call has ended.
-5. `RECORDING`: (Vonage Only) Indicates a secure URL containing a recording of the call is available. Requires `recording=true` in `VonageConfig`.
-
-## Example Usage
-
-The following example demonstrates how the `EventsManager` class can be used to consume the `TRANSCRIPT_COMPLETE` event and save the transcript to a file using the `add_transcript` method:
-
-```python
-import logging
-from fastapi import FastAPI
-from vocode.streaming.models.events import Event, EventType, TranscriptCompleteEvent
-from vocode.streaming.utils import events_manager
-from call_transcript_utils import add_transcript
-
-app = FastAPI(docs_url=None)
-
-logging.basicConfig()
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
-
-class CustomEventsManager(events_manager.EventsManager):
-    def __init__(self):
-        super().__init__(subscriptions=[EventType.TRANSCRIPT_COMPLETE])
-
-    def handle_event(self, event: Event):
-        if event.type == EventType.TRANSCRIPT_COMPLETE:
-            transcript_complete_event = typing.cast(TranscriptCompleteEvent, event)
-            add_transcript(
-                transcript_complete_event.conversation_id,
-                transcript_complete_event.transcript,
-            )
-
-events_manager_instance = CustomEventsManager()
-await events_manager_instance.start()
-```
-
-In this example, a custom `EventsManager` subclass is created with a subscription to the `TRANSCRIPT_COMPLETE` event. The `handle_event` method is overridden to save the transcript to a file using the `add_transcript` method when the `TRANSCRIPT_COMPLETE` event is received.
diff --git a/docs/external-actions.mdx b/docs/external-actions.mdx
new file mode 100644
index 0000000000..ee5b6c81f4
--- /dev/null
+++ b/docs/external-actions.mdx
@@ -0,0 +1,326 @@
+---
+title: "[Beta] External Actions"
+description: "Have your agent communicate with an External API"
+---
+
+External Actions allow Vocode agents to take actions outside the realm of a phone call. In particular, Vocode agents can decide to _push_ information to external systems via an API request, and _pull_ information from the API response in order to:
+
+1. change the agent’s behavior based on the pulled information
+2. give the agent context to inform the rest of the phone call
+
+## How it Works
+
+### Configuring the External Action
+
+The Vocode Agent will determine after each turn of conversation if its the ideal time to interact with the External API based primarily on the configured External Action's `description` and `input_schema`!
+
+#### `input_schema` Field
+
+The `input_schema` field is a [JSON Schema](https://json-schema.org/) object that instructs how to properly form a payload to send to the External API.
+
+For example, in the [Meeting Assistant Example](/external-actions#meeting-assistant-example) below we formed the following JSON payload:
+
+```json
+{
+  "type": "object",
+  "properties": {
+    "length": {
+      "type": "string",
+      "enum": ["30m", "1hr"]
+    },
+    "time": {
+      "type": "string",
+      "pattern": "^d{2}:d0[ap]m$"
+    }
+  }
+}
+```
+
+This is stating the External API is expecting:
+
+- Two fields
+  - `length` (string): either "30m" or "1hr"
+  - `time` (string): a regex pattern defining a time ending in a zero with `am`/`pm` on the end ie: `10:30am`
+
+<Card title="💡 Note" color="#ca8b04">
+    If you’re noticing that this looks very familiar to OpenAI function calling, it is! The Vocode API treats OpenAI LLMs as first-class and uses the function calling API when the agent uses an OpenAI LLM.
+
+    The lone difference is that the top level `input_schema` JSON schema must be an `object` - this is so we can use JSON to send over parameters to the user’s API.
+
+</Card>
+
+#### `description` Field
+
+The `description` is best used to descibe your External Action's purpose. As its passed through directly to the LLM, its the best way to convey instructions to the underlying Vocode Agent.
+
+For example, in the [Meeting Assistant Example](/external-actions#meeting-assistant-example) below we want to book a meeting for 30 minutes to an hour so we set the description as `Book a meeting for a 30 minute or 1 hour call.`
+
+<Card title="💡 Note" color="#ca8b04">
+  The `description` field is passed through and heavily affects how we do our
+  function decisioning so we recommend treating it in the same way you would a
+  prompt to an LLM!
+</Card>
+
+#### Other Fields to Determine Agent Behavior
+
+- `speak_on_send`: if `True`, then the underlying LLM will generate a message to be spoken into the phone call as the
+  API request is being sent. - `url`: The API request is sent to this URL in the format
+  defined below in [Responding to External Action API Requests](/external-actions#responding-to-external-action-api-requests)
+
+- `speak_on_receive`: if `True`, then the Vocode Agent will invoke the underlying
+  LLM to respond based on the result from the API Response or the Error encountered.
+
+### Responding to External Action API Requests
+
+Once an External Action has been created, the Vocode Agent will issue API requests to the defined `url` during the course of a phone call based on the [configuration noted above](/external-actions#configuring-the-external-action)
+The Vocode API will wait a maximum of _10 seconds_ before timing out the request.
+
+In particular, Vocode will issue a POST request to `url` with a JSON payload that matches `input_schema` , specifically (using the [Meeting Assistant Example](/external-actions#meeting-assistant-example) below):
+
+```bash
+POST url HTTP/1.1
+Accept: application/json
+Content-Type: application/json
+x-vocode-signature: <encoded_signature>
+
+{
+	"call_id": <UUID>,
+	"payload": {
+	  "length": "30m",
+	  "time": "10:30am"
+  }
+}
+```
+
+#### Signature Validation
+
+A cryptographically signed signature of the request body and a randomly generated byte hash in included as a header (under `x-vocode-signature`) in the outbound request so that the user’s API can validate the identity of the incoming request.
+
+The signature secret is contained in the External Action's API object and can be found when creating an object (as noted below in the [Meeting Assistant Example](/external-actions#meeting-assistant-example)), or by getting the API object via the `/v1/actions?id=ACTION_ID` endpoint:
+
+<CodeGroup>
+```bash Example cURL Request
+curl --request GET \
+  --url https://api.vocode.dev/v1/actions?id=<EXAMPLE_ACTION_ID>\
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+```
+
+```json Response
+{
+  "id": "<EXAMPLE_ACTION_ID>",
+  "user_id": "ecd792cf-18a2-420b-91f5-cdaf22f5f562",
+  "type": "action_external",
+  "config": {
+    "processing_mode": "muted",
+    "name": "Meeting_Booking_Assistant",
+    "description": "Book a meeting for a 30 minute or 1 hour call.",
+    "url": "http://example.com/booking",
+    "input_schema": {
+      "type": "object",
+      "properties": {
+        "length": {
+          "type": "string",
+          "enum": ["30m", "1hr"]
+        },
+        "time": {
+          "type": "string",
+          "pattern": "^\\d{2}:\\d0[ap]m$"
+        }
+      }
+    },
+    "speak_on_send": true,
+    "speak_on_receive": true,
+    "signature_secret": "MX/9/+iblnUoAAM2Jft8sgeY1bevJvuih2nr7XKPHIY="
+  },
+  "action_trigger": {
+    "type": "action_trigger_function_call",
+    "config": {}
+  }
+}
+```
+
+</CodeGroup>
+Use the following code snippet to check the signature in an inbound request:
+
+<CodeGroup>
+```python Python
+import base64
+import hashlib
+import hmac
+
+async def test_requester_encodes_signature(
+request_signature_value: str, signature_secret: str, payload: dict
+):
+"""
+Asynchronous function to check if the request signature is encoded correctly.
+
+    Args:
+        request_signature_value (str): The request signature to be decoded.
+        signature_secret (str): The signature to be decoded and used for comparison.
+        payload (dict): The payload to be used for digest calculation.
+
+    Returns:
+        None
+    """
+    signature_secret_as_bytes = base64.b64decode(signature_secret)
+    decoded_digest = base64.b64decode(request_signature_value)
+    calculated_digest = hmac.new(signature_secret_as_bytes, json.dumps(payload).encode("utf-8"), hashlib.sha256).digest()
+    assert hmac.compare_digest(decoded_digest, calculated_digest) is True
+
+````
+
+```typescript TypeScript
+import * as crypto from 'crypto';
+
+async function testRequesterEncodesSignature(
+  requestSignatureValue: string,
+  signatureSecret: string,
+  payload: Record<string, unknown>
+): Promise<void> {
+  /**
+   * Asynchronous function to check if the request signature is encoded correctly.
+   *
+   * @param requestSignatureValue - The request signature to be decoded.
+   * @param signatureSecret - The signature to be decoded and used for comparison.
+   * @param payload - The payload to be used for digest calculation.
+   */
+  const signatureAsBytes = Buffer.from(signatureSecret, 'base64');
+  const decodedDigest = Buffer.from(requestSignatureValue, 'base64');
+  const payloadString = JSON.stringify(payload);
+  const calculatedDigest = crypto
+    .createHmac('sha256', signatureAsBytes)
+    .update(payloadString)
+    .digest();
+
+  if (!crypto.timingSafeEqual(decodedDigest, calculatedDigest)) {
+    throw new Error('Signature mismatch');
+  }
+}
+````
+
+</CodeGroup>
+
+#### Response Formatting
+
+Vocode expects responses from the user’s API in JSON in the following format:
+
+```python
+Response {
+	result: Dict[str, Any]
+	agent_message: Optional[str] = None
+}
+```
+
+- `result` is a payload containing the result of the action on the user’s side, and can have any schema
+- `agent_message` optionally contains a message that will be synthesized into audio and sent back to the phone call (see [Configuring the External Action](/external-actions#configuring-the-external-action) above for more info)
+
+In the [Meeting Assistant Example](/external-actions#meeting-assistant-example) below, the user’s API could return back a JSON response that looks like:
+
+```json
+{
+  "result": {
+    "success": true
+  },
+  "agent_message": "I've set up a calendar appointment at 10:30am tomorrow for 30 minutes"
+}
+```
+
+## Meeting Assistant Example:
+
+This is an example of a Meeting Assistant which will attempt to book a meeting for 30 minutes or an hour at any time ending in a zero (ie 10:30am is okay but 10:35am is not)
+
+<CodeGroup>
+
+```python Python
+vocode_client.actions.create_action(
+    request={
+        "type": "action_external",
+        "config": {
+            "name": "Meeting_Booking_Assistant",
+            "description": ("Book a meeting for a 30 minute or 1 hour call."),
+            "url": "http://example.com/booking",
+            "speak_on_send": True,
+            "speak_on_receive": True,
+            "input_schema": {
+                "type": "object",
+                "properties": {
+                    "length": {
+                        "type": "string",
+                        "enum": ["30m", "1hr"],
+                    },
+                    "time": {
+                        "type": "string",
+                        "pattern": "^\d{2}:\d0[ap]m$",
+                    },
+                },
+            },
+        },
+    },
+)
+```
+
+```typescript TypeScript
+const action = await vocode.actions.createAction({
+  type: "action_external",
+  config: {
+    name: "Meeting_Booking_Assistant",
+    description: "Book a meeting for a 30 minute or 1 hour call.",
+    url: "http://example.com/booking",
+    speak_on_send: true,
+    speak_on_receive: true,
+    input_schema: {
+      type: "object",
+      properties: {
+        length: {
+          type: "string",
+          enum: ["30m", "1hr"],
+        },
+        time: {
+          type: "string",
+          pattern: "^\\d{2}:\\d0[ap]m$",
+        },
+      },
+    },
+  },
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/actions/create \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>' \
+  --data '{
+  "type": "action_external",
+  "config": {
+    "name": "Meeting_Booking_Assistant",
+    "description": "Book a meeting for a 30 minute or 1 hour call.",
+    "url": "http://example.com/booking",
+    "speak_on_send": true,
+    "speak_on_receive": true,
+    "input_schema": {
+      "type": "object",
+      "properties": {
+        "length": {
+          "type": "string",
+          "enum": ["30m", "1hr"]
+        },
+        "time": {
+          "type": "string",
+          "pattern": "^\\d{2}:\\d0[ap]m$"
+        }
+      }
+    }
+  }
+}'
+```
+
+</CodeGroup>
+
+<Card title="💡 Note" color="#ca8b04">
+  If you're looking to attach the created External Action to your agent after
+  creating it in the example below, theres an example of how to do this on the
+  [Using Actions](/using-actions#transfercall) page under the TransferCall
+  section!
+</Card>
diff --git a/docs/favicon.png b/docs/favicon.png
index b8b1c68208..95b3275409 100644
Binary files a/docs/favicon.png and b/docs/favicon.png differ
diff --git a/docs/hipaa-compliance.mdx b/docs/hipaa-compliance.mdx
new file mode 100644
index 0000000000..5a8d9f08a6
--- /dev/null
+++ b/docs/hipaa-compliance.mdx
@@ -0,0 +1,23 @@
+---
+title: "[Beta] HIPAA Compliance"
+---
+
+The `hipaa_compliant` flag in the Vocode outbound calls API configures the system to not
+persist any potentially sensitive information. Turning on the flag makes the API supportable for use-cases requiring HIPAA compliance.
+
+In particular, turning on the flag:
+
+- Redacts the content of the prompt on the `calls` resource
+- Prevents the transcript from being written to the `calls` resource
+- Configures the call not to be recorded
+
+# Turning on the flag
+
+```python
+vocode_client.calls.create_call(
+    from_number="<YOUR VOCODE NUMBER>",
+    to_number="15555555555",
+    agent=...,
+    hipaa_compliant=True
+)
+```
diff --git a/docs/hosted-quickstart.mdx b/docs/hosted-quickstart.mdx
new file mode 100644
index 0000000000..76c56af60e
--- /dev/null
+++ b/docs/hosted-quickstart.mdx
@@ -0,0 +1,85 @@
+---
+title: "Hosted Quickstart"
+description: "Deploy AI to phone calls via API"
+---
+
+# Introduction
+
+The Vocode hosted service allows you to automate inbound and outbound phone calls
+via our API and SDKs. You can configure agents to answer phone calls (inbound) or make
+phone calls on your behalf (outbound).
+
+The hosted API is built to be scalable and production ready. Vocode provides guardrails
+to make sure agents perform the intended goals reliably and metrics to analyze performance.
+
+# Getting started
+
+To get started with Vocode, you can start by installing either of our Python or Node SDKs, or
+hitting the API directly.
+
+### Python
+
+Install the `vocode-api` package using a package manager.
+
+<CodeGroup>
+```bash poetry
+poetry add vocode-api
+```
+
+```bash pip
+pip install vocode-api
+```
+
+</CodeGroup>
+
+Initialize the Vocode client like so:
+
+```python
+from vocode.client import Vocode
+
+vocode_client = Vocode(
+  token="YOUR_API_KEY"
+)
+
+list_numbers_response = vocode_client.numbers.list_numbers()
+
+print(list_numbers_response)
+```
+
+### Node
+
+Install the `vocode-api` package using a package manager.
+
+<CodeGroup>
+```bash npm
+npm install --save @vocode/vocode-api
+```
+
+```bash yarn
+yarn add @vocode/vocode-api
+```
+
+</CodeGroup>
+
+Initialize the Vocode client like so:
+
+```typescript
+import { VocodeClient } from "@vocode/vocode-api";
+
+const vocode = new VocodeClient({
+  token: "YOUR_API_KEY",
+});
+
+vocode.numbers.listNumbers().then((numbers) => {
+  console.log("My numbers:", numbers);
+});
+```
+
+### API Reference
+
+If you'd prefer to hit our API directly, take a look at our [API Reference](/api-reference).
+
+# Hosted Walkthrough
+
+Once you have Vocode installed, we suggest going through the [Hosted Walkthrough](/walkthrough_intro) which will
+show you how to start interacting with the API.
diff --git a/docs/how-to-use-it.mdx b/docs/how-to-use-it.mdx
deleted file mode 100644
index 7eb692829f..0000000000
--- a/docs/how-to-use-it.mdx
+++ /dev/null
@@ -1,17 +0,0 @@
----
-title: "How to use it"
-description: "The different ways to use the Vocode."
----
-
-## Understanding our libraries
-
-Vocode supports Python and React–with future support coming for
-other languages.
-
-## Get started with Python
-
-Use the [Python quickstart](/python-quickstart) guide.
-
-## Get started with React
-
-Use the [React quickstart](/react-quickstart) guide.
diff --git a/docs/images/livekit_keys.png b/docs/images/livekit_keys.png
new file mode 100644
index 0000000000..d22eae27b4
Binary files /dev/null and b/docs/images/livekit_keys.png differ
diff --git a/docs/images/sentry.png b/docs/images/sentry.png
new file mode 100644
index 0000000000..7414cd3501
Binary files /dev/null and b/docs/images/sentry.png differ
diff --git a/docs/images/vectodb/pinecone-create-index.png b/docs/images/vectodb/pinecone-create-index.png
new file mode 100644
index 0000000000..11b84c0baa
Binary files /dev/null and b/docs/images/vectodb/pinecone-create-index.png differ
diff --git a/docs/injecting-context.mdx b/docs/injecting-context.mdx
new file mode 100644
index 0000000000..c147766556
--- /dev/null
+++ b/docs/injecting-context.mdx
@@ -0,0 +1,64 @@
+---
+title: "[Beta] Injecting context"
+description: "Add context to inbound calls"
+---
+
+When a call comes in, some applications may want to inject context (eg the caller's first name, if
+the number is recognized). In order to support injecting context, the Vocode API allows prompts
+to be templated. When an inbound call comes in, the template variables can then be filled in
+at runtime.
+
+# How it works
+
+At a high level, context injection works like this:
+
+- set your Vocode prompt to include template values
+- include a `context_endpoint` parameter to your bot
+- when an inbound call comes in, Vocode will query the context endpoint provided with
+  the caller phone number
+- the queried information from the endpoint is then filled into the prompt template
+
+# Context injection example
+
+In order to have your bot use injected variables, the prompt must include template variables. Let's set up
+our prompt to accept a user's first name and link it to our context endpoint.
+
+```python
+from vocode import AgentUpdateParams, PromptUpdateParams
+
+name_prompt = "You are talking to ${name}"
+number = vocode_client.numbers.update_number(
+    phone_number="YOUR_NUMBER",
+    inbound_agent=AgentUpdateParams(
+        prompt=PromptUpdateParams(
+            content=name_prompt,
+            context_endpoint="YOUR_CONTEXT_URL",
+        )
+    ),
+)
+```
+
+Now, let's set up a simple context endpoint that will return the user's first name:
+
+```python
+from fastapi import FastAPI
+
+app = FastAPI()
+
+@app.get("/my-context-endpoint")
+def endpoint(phone_number: str):
+    if phone_number == "123":
+        return {"name": "Kian"}
+    elif phone_number == "456":
+        return {"name": "Ajay"}
+    else:
+        return {}
+```
+
+This sets up a route at `http://localhost:8000/my-context-endpoint` that accepts `phone_number` as a URL param, i.e.
+`http://localhost:8000/my-context-endpoint?phone_number=15555555555`.
+
+Now, when either Kian or Ajay call the bot – the prompt will reflect the name of the person
+the bot is talking to!
+
+Note: This feature is experimental... improvements and proper authentication coming.
diff --git a/docs/ivr-navigation.mdx b/docs/ivr-navigation.mdx
new file mode 100644
index 0000000000..11635ee8fb
--- /dev/null
+++ b/docs/ivr-navigation.mdx
@@ -0,0 +1,66 @@
+---
+title: "[Beta] IVR Navigation"
+description: "Navigate phone trees"
+---
+
+Note: this feature is only useful on outbound calls, which are disabled by default. Please contact us through Discord or at support@vocode.dev
+to discuss enabling outbound calls for your account!
+
+The Vocode API has many tools for agents to interact with IVRs (interactive voice responses) - navigating phone trees
+is one of the primary use-cases of the API.
+
+# IVR navigation mode
+
+When starting an outbound call, set `ivr_navigation_mode` to `default` - this allows the bot to stay silent while on hold. Vocode
+bots also automatically end the call after the conversation has been idle (i.e. no words on both sides) for 30 seconds: setting `ivr_navigation_mode` to `default`
+increases this threshold to 10 minutes.
+
+```python
+vocode_client.calls.create_call(
+    from_number="<YOUR VOCODE NUMBER>",
+    to_number="15555555555",
+    agent=CreateCallAgentParams(
+        ...,
+        ivr_navigation_mode="default"
+    ),
+)
+```
+
+# DTMF action
+
+The DTMF action allows the bot to hit dial tones (e.g. to navigate phone tree nodes where an IVR says "Press 1 for ...").
+
+```python
+vocode_client.calls.create_call(
+    from_number="<YOUR VOCODE NUMBER>",
+    to_number="15555555555",
+    agent=CreateCallAgentParams(
+        actions=[DtmfActionParams(type="action_dtmf")],
+        ...
+    ),
+)
+```
+
+# Transfer call action
+
+The Transfer call action allows the bot to transfer to a human agent.
+
+```python
+vocode_client.calls.create_call(
+    from_number="<YOUR VOCODE NUMBER>",
+    to_number="15555555555",
+    agent=CreateCallAgentParams(
+        actions=[TransferCallActionParams(type="action_transfer_call", config=TransferCallConfig(
+            phone_number="11234567890"
+        ))],
+        ...
+    ),
+)
+```
+
+# On the horizon
+
+We plan to introduce more dials here, for example:
+
+- More configurability around allowed idle time of the conversation
+- Human detection - i.e. behavior when a human picks up the phone after the bot navigates the phone tree
diff --git a/docs/language-support.mdx b/docs/language-support.mdx
deleted file mode 100644
index fb166582f3..0000000000
--- a/docs/language-support.mdx
+++ /dev/null
@@ -1,6 +0,0 @@
----
-title: "Multilingual support"
-description: "How to configure different languages"
----
-
-# 🚧 Under construction
diff --git a/docs/machine-detection.mdx b/docs/machine-detection.mdx
new file mode 100644
index 0000000000..15dabcc1c5
--- /dev/null
+++ b/docs/machine-detection.mdx
@@ -0,0 +1,69 @@
+---
+title: "Answering Machine Detection"
+description: "Define the behavior of the bot when no one answers the phone"
+---
+
+The Vocode API allows you to configure your outbound call agent's behavior when the other end of a
+phone call is an answerphone as well as subscribe to events relating to machine detection.
+
+# Example 1: Hang up the call if it goes to voicemail
+
+The `on_no_human_answer` parameter defines what should happen if a machine answers the phone.
+
+```python
+from vocode import CreateCallAgentParams, PromptParams
+
+vocode_client.calls.create_call(
+    from_number="<YOUR VOCODE NUMBER>",
+    to_number="15555555555",
+    agent=CreateCallAgentParams(
+        prompt=PromptParams(
+            content="Ask Ajay if his refrigerator is running"
+        ),
+    ),
+    on_no_human_answer="hangup",
+)
+```
+
+# Example 2: Hook into when a call goes to voicemail
+
+If you'd like the bot to stay on the call and leave a voicemail, set `on_no_human_answer` to `"continue"`. You can
+also configure a webhook to be fired when the answering machine detection status is populated.
+
+```python
+from vocode import CreateCallAgentParams, PromptParams
+
+vocode_client.calls.create_call(
+    from_number="<YOUR VOCODE NUMBER>",
+    to_number="15555555555",
+    agent=CreateCallAgentParams(
+        prompt=PromptParams(
+            content="Ask Ajay if his refrigerator is running"
+        ),
+        webhook=WebhookParams(
+            url="<YOUR WEBHOOK URL>",
+            subscriptions=["event_human_detection"]
+        )
+    ),
+    on_no_human_answer="continue"
+)
+```
+
+Once the call is picked up, the webhook URL configured above will get the following POST request:
+
+```
+{
+  "type": "event_human_detection",
+  "call_id": "<some UUID>",
+  "payload": {
+    "result": "no_human" # or "human"
+  }
+}
+```
+
+# On the horizon
+
+Stay tuned for more features here, for example:
+
+- Instructing your agent to leave a particular voicemail
+- Routing the call to a human when a human picks up, otherwise leave a voicemail
diff --git a/docs/mint.json b/docs/mint.json
index 3aa92dcd0f..0d94dc61c2 100644
--- a/docs/mint.json
+++ b/docs/mint.json
@@ -20,6 +20,16 @@
     "url": "https://github.com/vocodedev/vocode-python"
   },
   "anchors": [
+    {
+      "name": "API Reference",
+      "icon": "rectangle-terminal",
+      "url": "api-reference"
+    },
+    {
+      "name": "Open Source",
+      "icon": "leaf",
+      "url": "open-source"
+    },
     {
       "name": "Community",
       "icon": "discord",
@@ -39,50 +49,211 @@
   "navigation": [
     {
       "group": "Getting Started",
+      "pages": ["welcome", "hosted-quickstart", "open-source-quickstarts"]
+    },
+    {
+      "group": "Vocode 101",
       "pages": [
-        "welcome"
+        "open-source/what-is-vocode",
+        "open-source/how-it-works",
+        "open-source/how-to-use-it"
       ]
     },
     {
-      "group": "Vocode 101",
+      "group": "Getting Started",
+      "pages": [
+        "open-source/python-quickstart",
+        "open-source/react-quickstart",
+        "open-source/telephony",
+        "open-source/livekit-webrtc",
+        "open-source/turn-based-conversation"
+      ]
+    },
+    {
+      "group": "Agents",
+      "pages": [
+        "open-source/create-your-own-agent",
+        "open-source/agent-factory",
+        "open-source/langchain-agent"
+      ]
+    },
+    {
+      "group": "Synthesizers (Voice)",
+      "pages": ["open-source/using-synthesizers"]
+    },
+    {
+      "group": "Transcribers (Speech-to-Text)",
+      "pages": ["open-source/using-transcribers"]
+    },
+    {
+      "group": "Actions",
+      "pages": [
+        "open-source/agents-with-actions",
+        "open-source/action-phrase-triggers",
+        "open-source/external-action"
+      ]
+    },
+    {
+      "group": "Conversation Tuning",
+      "pages": [
+        "open-source/conversation-mechanics",
+        "open-source/language-support"
+      ]
+    },
+    {
+      "group": "Monitoring",
+      "pages": ["open-source/logging-with-loguru", "open-source/sentry"]
+    },
+    {
+      "group": "Testing",
+      "pages": ["open-source/playground"]
+    },
+    {
+      "group": "Advanced Functionality",
+      "pages": ["open-source/events-manager"]
+    },
+    {
+      "group": "Legacy (0.0.111) Guides",
+      "pages": [
+        "open-source/langchain-agent-dep",
+        "open-source/local-conversation"
+      ]
+    },
+    {
+      "group": "Numbers",
+      "pages": [
+        "api-reference/numbers/list-numbers",
+        "api-reference/numbers/get-number",
+        "api-reference/numbers/buy-number",
+        "api-reference/numbers/link-number",
+        "api-reference/numbers/update-number",
+        "api-reference/numbers/cancel-number"
+      ]
+    },
+    {
+      "group": "Calls",
+      "pages": [
+        "api-reference/calls/list-calls",
+        "api-reference/calls/get-call",
+        "api-reference/calls/end-call",
+        "api-reference/calls/create-call",
+        "api-reference/calls/get-recording"
+      ]
+    },
+    {
+      "group": "Usage",
+      "pages": ["api-reference/usage/get-usage"]
+    },
+    {
+      "group": "Actions",
+      "pages": [
+        "api-reference/actions/get-action",
+        "api-reference/actions/list-actions",
+        "api-reference/actions/create-action",
+        "api-reference/actions/update-action"
+      ]
+    },
+    {
+      "group": "Agents",
+      "pages": [
+        "api-reference/agents/get-agent",
+        "api-reference/agents/list-agents",
+        "api-reference/agents/create-agent",
+        "api-reference/agents/update-agent"
+      ]
+    },
+    {
+      "group": "Prompts",
+      "pages": [
+        "api-reference/prompts/get-prompt",
+        "api-reference/prompts/list-prompts",
+        "api-reference/prompts/create-prompt",
+        "api-reference/prompts/update-prompt"
+      ]
+    },
+    {
+      "group": "Vector Databases",
+      "pages": [
+        "api-reference/vector_databases/get-vector-database",
+        "api-reference/vector_databases/list-vector-databases",
+        "api-reference/vector_databases/create-vector-database",
+        "api-reference/vector_databases/update-vector-database"
+      ]
+    },
+    {
+      "group": "Voices",
+      "pages": [
+        "api-reference/voices/get-voice",
+        "api-reference/voices/list-voices",
+        "api-reference/voices/create-voice",
+        "api-reference/voices/update-voice"
+      ]
+    },
+    {
+      "group": "Webhooks",
+      "pages": [
+        "api-reference/webhooks/get-webhook",
+        "api-reference/webhooks/list-webhooks",
+        "api-reference/webhooks/create-webhook",
+        "api-reference/webhooks/update-webhook"
+      ]
+    },
+    {
+      "group": "Account Connections",
+      "pages": [
+        "api-reference/account_connections/get-account-connection",
+        "api-reference/account_connections/list-account-connections",
+        "api-reference/account_connections/create-account-connection",
+        "api-reference/account_connections/update-account-connection"
+      ]
+    },
+    {
+      "group": "Hosted Walkthrough",
       "pages": [
-        "what-is-vocode",
-        "how-it-works",
-        "how-to-use-it"
+        "walkthrough_intro",
+        "setting-up-number",
+        "configuring-number",
+        "setting-up-webhook"
       ]
     },
     {
       "group": "Guides",
       "pages": [
-        "python-quickstart",
-        "telephony",
-        "create-your-own-agent",
-        "langchain-agent",
-        "action-agents",
-        "local-conversation",
-        "events-manager",
-        "using-synthesizers",
-        "using-transcribers",
-        "react-quickstart",
-        "playground",
-        "turn-based-conversation",
-        "language-support",
-        "tracing",
-        "agent-factory"
+        "agents",
+        "prompts",
+        "prompt-engineering",
+        "voices",
+        "webhooks",
+        "actions",
+        "action-triggers",
+        "conversational-dials",
+        "retrieve-call-data",
+        "machine-detection",
+        "do-not-call-detection",
+        "bring-your-own-telephony",
+        "bring-your-own-openai"
       ]
     },
     {
-      "group": "Python",
+      "group": "Beta Features",
       "pages": [
-        "transcriber-reference",
-        "agent-reference",
-        "synthesizer-reference"
+        "external-actions",
+        "warm-transfer",
+        "multilingual",
+        "injecting-context",
+        "ivr-navigation",
+        "vectordb",
+        "hipaa-compliance"
       ]
     }
   ],
+  "api": {
+    "playground": {
+      "mode": "simple"
+    }
+  },
   "footerSocials": {
     "twitter": "https://twitter.com/vocodehq",
     "website": "https://www.vocode.dev/"
-  },
-  "backgroundImage": "images/background-image.png"
-}
\ No newline at end of file
+  }
+}
diff --git a/docs/multilingual.mdx b/docs/multilingual.mdx
new file mode 100644
index 0000000000..ef1e6fb472
--- /dev/null
+++ b/docs/multilingual.mdx
@@ -0,0 +1,41 @@
+---
+title: "[Beta] Multilingual bots"
+description: "How to make bots speak different languages"
+---
+
+Vocode bots speak English by default but they can be configured to speak and understand
+different languages. This feature is in beta and is currently being worked on. As of right now,
+this feature works best with ElevenLabs multilingual voices.
+
+# Supported Languages
+
+Right now, our supported languages include:
+
+- English
+- Spanish
+- German
+
+with plans to support more in the future. If you have any particular requests, please email support@vocode.dev.
+
+# Set agent language
+
+<CodeGroup>
+
+```python Python
+from vocode import AgentUpdateParams
+
+language = "es" # ["en", "es", "de"]
+number = vocode_client.numbers.update_number(
+    phone_number="YOUR_NUMBER", inbound_agent=AgentUpdateParams(language=language)
+)
+```
+
+```javascript TypeScript
+const language = "es"; // ["en", "es", "de"]
+const number = await vocode.numbers.updateNumber({
+  phoneNumber: "YOUR_NUMBER",
+  inboundAgent: { language: language },
+});
+```
+
+</CodeGroup>
diff --git a/docs/open-source-quickstarts.mdx b/docs/open-source-quickstarts.mdx
new file mode 100644
index 0000000000..d6a6eaf8ed
--- /dev/null
+++ b/docs/open-source-quickstarts.mdx
@@ -0,0 +1,43 @@
+---
+title: "Open Source Quickstarts"
+description: "How to get Vocode up and running on your own machine"
+---
+
+## Start Developing
+
+<CardGroup>
+  <Card
+    title="Python Quick Start"
+    icon="circle-play"
+    href="/open-source/python-quickstart"
+  >
+    Quickly get up and running with Vocode by following our Python quick start
+    guide.
+  </Card>
+</CardGroup>
+
+### <span><svg style={{display: "inline"}} width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg"> <defs></defs> <path    d="M7 5.5C7 4.67157 7.67157 4 8.5 4H15.5C16.3284 4 17 4.67157 17 5.5V12H8.5C7.67157 12 7 11.3284 7 10.5V5.5Z"    fill="#F26207"  ></path> <path    d="M17 12H25.5C26.3284 12 27 12.6716 27 13.5V18.5C27 19.3284 26.3284 20 25.5 20H17V12Z"    fill="#F26207"  ></path> <path    d="M7 21.5C7 20.6716 7.67157 20 8.5 20H17V26.5C17 27.3284 16.3284 28 15.5 28H8.5C7.67157 28 7 27.3284 7 26.5V21.5Z"    fill="#F26207"  ></path></svg> Replit Templates</span>
+
+<CardGroup>
+  <Card
+    title="Phone Call Server"
+    icon="phone"
+    href="https://replit.com/@vocode/Self-hosted-Telephony-Server"
+  >
+    Spin up a phone number with ChatGPT on the other end.
+  </Card>
+  <Card
+    title="React Conversation"
+    icon="browser"
+    href="https://replit.com/@vocode/Simple-Conversation"
+  >
+    Create a website that you can talk to.
+  </Card>
+  <Card
+    title="LangChain Agent"
+    icon="browser"
+    href="https://replit.com/@vocode/LangChain-Agent"
+  >
+    Use Vocode as a tool to call someone in the real world.
+  </Card>
+</CardGroup>
diff --git a/docs/open-source/action-phrase-triggers.mdx b/docs/open-source/action-phrase-triggers.mdx
new file mode 100644
index 0000000000..e7a8dc2c51
--- /dev/null
+++ b/docs/open-source/action-phrase-triggers.mdx
@@ -0,0 +1,86 @@
+---
+title: 'Action Triggers'
+description: 'Activate actions with function calls or specific phrases'
+---
+## What are function calls?
+[Function calls](https://platform.openai.com/docs/guides/function-calling) allow modern Large Language Models (LLMs) like ChatGPT to perform tasks outside of text generation. 
+For example, if I create a math assistant with ChatGPT, I might make a "multiply" function that ChatGPT can call to multiply two numbers together.
+
+If you add an action to a vocode agent, its corresponding function calling schema is added to each ChatGPT query. If the function call is outputted by ChatGPT, the corresponding action is triggered automatically.
+
+***Note:*** *In vocode agents, ChatGPT can return a text response alongside a function call. In this scenario, the text is synthesized and played first, then the action is run.*
+
+## What are phrase triggers?
+
+Phrase triggers are text phrases that activate an action when produced by an agent. Phrase triggers are useful in production use-cases where consistency and reliability are important, since text outputs are easier to control in comparison to function calls.
+
+## Configuring action triggers
+Each vocode action config contains an `action_trigger` field  to specify how the action is triggered. The default trigger is function calling. The examples below demonstrate how to set action triggers for an `EndConversation` action config:
+
+**Function calls:**
+```python
+from vocode.streaming.action.end_conversation import EndConversationVocodeActionConfig
+from vocode.streaming.models.actions import FunctionCallActionTrigger
+
+EndConversationVocodeActionConfig(
+    type="action_end_conversation",
+    action_trigger=FunctionCallActionTrigger(
+        type="action_trigger_function_call"
+    )
+)
+```
+***Note:*** *You can also leave `action_trigger` field empty and vocode will default to function calls.*
+
+**Phrase triggers:**
+
+```python
+from vocode.streaming.action.end_conversation import EndConversationVocodeActionConfig
+from vocode.streaming.models.actions import PhraseBasedActionTrigger, PhraseBasedActionTriggerConfig, PhraseTrigger
+
+EndConversationVocodeActionConfig(
+    type="action_end_conversation",
+    action_trigger=PhraseBasedActionTrigger(
+        type = "action_trigger_phrase_based",
+        config: PhraseBasedActionTriggerConfig(
+            phrase_triggers = [
+                PhraseTrigger(
+                    phrase="Ending conversation now",
+                    condition="phrase_condition_type_contains"
+                ),
+                # Additional phrase triggers can be listed here
+            ]
+        )
+    )
+)
+```
+For the code above, if the agent says 'Ending conversation now', the end conversation action will automatically be taken. 
+You can add multiple phrase triggers for an action by passing a list of `PhraseTrigger` instances. 
+
+The `phrase_condition_type_contains` condition configures the agent to run the action if its output *contains* the phrase. So, the action will also be run if the agent
+says 'I am ending conversation now'.
+
+## Example Scenario
+
+Let's assume we have an action called `TurnOnLight` that turns on your bedroom light when activated. Take the following conversation:
+```plaintext
+Human: Hello
+AI: How can I assist you today?
+Human: Please turn on the lights.
+```
+
+If the action is triggered via a function call, the bot may respond with:
+```plaintext
+AI: Sure!
+BOT_ACTION_START: Running `action_turn_on_light`
+```
+or it may run the action without saying anything.
+
+If we use a phrase trigger instead, we may do the following:
+1. In our prompt, write "If the human asks to turn on the lights, say 'I will turn on the lights now' verbatim"
+2. Configure `TurnOnLight` with "I will turn on the lights now" as its phrase trigger
+
+Then, the bot will respond with:
+```
+AI: I will turn on the lights now.
+BOT_ACTION_START: Running `action_turn_on_light`
+```
\ No newline at end of file
diff --git a/docs/open-source/agent-factory.mdx b/docs/open-source/agent-factory.mdx
new file mode 100644
index 0000000000..58b17af184
--- /dev/null
+++ b/docs/open-source/agent-factory.mdx
@@ -0,0 +1,47 @@
+---
+title: 'Connecting Your Agent'
+description: 'How to link a custom agent to your app'
+---
+
+# Agent Factories
+
+Agent factories specify which agents are available to your app. In order to connect an agent to your app, you must first define an agent factory. To do so, subclass the [`AbstractAgentFactory`](https://github.com/vocodedev/vocode-python/blob/main/vocode/streaming/agent/abstract_factory.py) class to specify how agents are created. Here you can import and use your own custom agents.
+
+## Example
+
+First define your `AgentFactory`. In this example, we are creating a factory for a new type of agent called MyActionAgent:
+
+```python
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.action.my_action_factory import MyActionFactory
+
+class MyAgentFactory(AbstractAgentFactory):
+    def __init__(self, action_factory: MyActionFactory):
+        self.action_factory = action_factory
+
+    def create_agent(
+        self, agent_config: AgentConfig, logger: Optional[logging.Logger] = None
+    ) -> BaseAgent:
+        if agent_config.type == "MY_ACTION":
+            return MyActionAgent(
+                agent_config=agent_config,
+                action_factory=self.action_factory
+            )
+        elif agent_config.type == "other_agent_type":
+            ...
+        else:
+            raise Exception("Invalid agent config")
+```
+
+Then, in your app, you can connect the agent to the app:
+
+```python
+from vocode.streaming.telephony.server.base import TelephonyServer
+from vocode.streaming.agent.my_agent_factory import MyAgentFactory
+from vocode.streaming.action.my_action_factory import MyActionFactory
+
+telephony_server = TelephonyServer(
+    agent_factory=MyAgentFactory(action_factory=MyActionFactory())
+    ...
+)
+```
diff --git a/docs/open-source/agent-reference.mdx b/docs/open-source/agent-reference.mdx
new file mode 100644
index 0000000000..7feb9cb242
--- /dev/null
+++ b/docs/open-source/agent-reference.mdx
@@ -0,0 +1,199 @@
+---
+title: "Agent Reference"
+---
+
+# `AgentConfig`
+
+<ParamField body="initial_message" type="Optional[BaseMessage]">
+  The initial message the agent should send at the start of the conversation.
+</ParamField>
+
+<ParamField body="generate_responses" type="bool">
+  Whether the agent should generate responses continuously (True) or only respond once per human input (False).
+</ParamField>
+
+<ParamField body="allowed_idle_time_seconds" type="Optional[float]">
+  The maximum number of seconds the agent is allowed to go without speaking before being considered idle.
+</ParamField>
+
+<ParamField body="allow_agent_to_be_cut_off" type="bool">
+  Whether the human can interrupt the agent while it is speaking.
+</ParamField>
+
+<ParamField body="end_conversation_on_goodbye" type="bool">
+  Whether the agent should end the conversation when it detects the human saying goodbye.
+</ParamField>
+
+<ParamField body="send_filler_audio" type="Union[bool, FillerAudioConfig]">
+  Whether to play filler audio (typing noises or phrases like "uh" and "um") when the agent is thinking. Can be configured via FillerAudioConfig.
+</ParamField>
+
+<ParamField body="webhook_config" type="Optional[WebhookConfig]">
+  Configuration for sending webhooks from the agent.
+</ParamField>
+
+<ParamField body="track_bot_sentiment" type="bool">
+  Whether to track the sentiment of the agent's responses.
+</ParamField>
+
+<ParamField body="actions" type="Optional[List[ActionConfig]]">
+  Configuration for custom actions the agent can take, such as making API calls.
+</ParamField>
+
+
+# `LLMAgentConfig`
+
+<ParamField body="prompt_preamble" type="str">
+  The preamble text to prepend before the prompt when generating responses. This allows priming the model.
+</ParamField>
+
+<ParamField body="expected_first_prompt" type="Optional[str]">
+  The prompt to use for generating the first response from the agent. If not provided, the agent will generate a response to the first user message without any initial prompt.
+</ParamField>
+
+<ParamField body="model_name" type="str">
+  The name of the OpenAI model to use, e.g. "text-curie-001".
+</ParamField>
+
+<ParamField body="temperature" type="float">
+  The sampling temperature to use for the model. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer.
+</ParamField>
+
+<ParamField body="max_tokens" type="int">
+  The maximum number of tokens to generate in the completion.
+</ParamField>
+
+<ParamField body="cut_off_response" type="Optional[CutOffResponse]">
+  The response for the agent to give when it is cut off mid-response.
+</ParamField>
+
+
+# `ChatGPTAgentConfig`
+
+<ParamField body="prompt_preamble" type="str">
+  The preamble text to prepend before the prompt when generating responses. This allows priming the model.
+</ParamField>
+
+<ParamField body="expected_first_prompt" type="Optional[str]">
+  The prompt to use for generating the first response from the agent. If not provided, the agent will generate a response to the first user message without any initial prompt.
+</ParamField>
+
+<ParamField body="model_name" type="str">
+  The name of the OpenAI model to use, e.g. "gpt-3.5-turbo-0613".
+</ParamField>
+
+<ParamField body="temperature" type="float">
+  The sampling temperature to use for the model. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer.
+</ParamField>
+
+<ParamField body="max_tokens" type="int">
+  The maximum number of tokens to generate in the completion.
+</ParamField>
+
+<ParamField body="cut_off_response" type="Optional[CutOffResponse]">
+  The response for the agent to give when it is cut off mid-response.
+</ParamField>
+
+<ParamField body="azure_params" type="Optional[AzureOpenAIConfig]">
+  Configuration when using the Azure OpenAI API.
+</ParamField>
+
+<ParamField body="vector_db_config" type="Optional[VectorDBConfig]">
+  Configuration for hitting a vector database for retrieval before generating a response.
+</ParamField>
+
+
+# `ChatAnthropicAgentConfig`
+
+<ParamField body="prompt_preamble" type="str">
+  The preamble text to prepend before the prompt when generating responses. This allows priming the model.
+</ParamField>
+
+<ParamField body="model_name" type="str">
+  The name of the Anthropic model to use. e.g. "claude-v1".
+</ParamField>
+
+<ParamField body="max_tokens_to_sample" type="int">
+  Max tokens to sample for autocompletion stream. Defaults to 200.
+</ParamField>
+
+
+# `ChatVertexAIAgentConfig`
+
+<ParamField body="prompt_preamble" type="str">
+  The preamble text to prepend before the prompt when generating responses. This allows priming the model.
+</ParamField>
+
+<ParamField body="model_name" type="str">
+  The name of the Vertex model to use. e.g. "chat-bison@001".
+</ParamField>
+
+<ParamField body="generate_responses" type="bool">
+  Whether the agent should generate responses continuously (True) or only respond once per human input (False).
+  Google Vertex AI doesn't support streaming, set to False
+</ParamField>
+
+
+# `EchoAgentConfig`
+
+The EchoAgent simply echoes back the user's messages. It does not take any configuration parameters.
+
+
+# `GPT4AllAgentConfig`
+
+<ParamField body="prompt_preamble" type="str">
+  The preamble text to prepend before the prompt when generating responses. This allows priming the model.
+</ParamField>
+
+<ParamField body="model_path" type="str">
+  The path to the model weights file.
+</ParamField>
+
+<ParamField body="generate_responses" type="bool">
+  Whether the agent should generate responses continuously (True) or only respond once per human input (False).
+</ParamField>
+
+
+# `LlamacppAgentConfig`
+
+<ParamField body="prompt_preamble" type="str">
+  The preamble text to prepend before the prompt when generating responses. This allows priming the model.
+</ParamField>
+
+<ParamField body="llamacpp_kwargs" type="dict">
+  Additional kwargs to pass to the LlamaCpp model initializer.
+</ParamField>
+
+<ParamField body="prompt_template" type="Optional[Union[PromptTemplate, str]]">
+  The template to use for formatting the prompt with the conversation history and current user input. Can be a string referring to a built-in template like "alpaca", or a custom PromptTemplate.
+</ParamField>
+
+
+# `InformationRetrievalAgentConfig`
+
+<ParamField body="recipient_descriptor" type="str">
+  A description of the intended recipient that the agent is trying to reach.
+</ParamField>
+
+<ParamField body="caller_descriptor" type="str">
+  A description of who the agent is representing in the call.
+</ParamField>
+
+<ParamField body="goal_description" type="str">
+  A description of the goal or task that the agent is trying to accomplish, to provide context for the information retrieval.
+</ParamField>
+
+<ParamField body="fields" type="str">
+  A list of the information fields the agent is trying to collect.
+</ParamField>
+
+
+# `RESTfulUserImplementedAgentConfig`
+
+<ParamField body="respond" type="RESTfulEndpointConfig">
+  Configuration for the REST endpoint to hit to get responses from the user implemented agent.
+</ParamField>
+
+<ParamField body="generate_responses" type="bool">
+  Whether the agent should generate responses continuously (True) or only respond once per human input (False).
+</ParamField>
diff --git a/docs/agent.mdx b/docs/open-source/agent.mdx
similarity index 85%
rename from docs/agent.mdx
rename to docs/open-source/agent.mdx
index 0f77cef5e5..ee2538691c 100644
--- a/docs/agent.mdx
+++ b/docs/open-source/agent.mdx
@@ -10,7 +10,7 @@ generation/understanding layer of the conversation. In other words, Agents are t
 AI that is actually having the conversation.
 
 Vocode provides agents that work out-of-the-box (see below) and also allows developers to
-[create their own agents](/create-your-own-agent).
+[create their own agents](/open-source/create-your-own-agent).
 
 ## Default Agent Implementations
 
@@ -34,7 +34,7 @@ The `LLMAgentConfig` is configured to use the completions endpoint using the sim
 
 ### InformationRetrievalAgentConfig
 
-Primarily used for [Outbound phone calls](/telephony), the `InformationRetrievalAgent
+Primarily used for [Outbound phone calls](/open-source/telephony), the `InformationRetrievalAgent
 
 <ParamField path="recipient_descriptor" type="str" required={true}>
   A description for the call recipient.
@@ -52,4 +52,4 @@ Primarily used for [Outbound phone calls](/telephony), the `InformationRetrieval
   The fields that are to be collected on the call.
 </ParamField>
 
-To build your own agent, see [Create your own AI Agent](/create-your-own-agent)
+To build your own agent, see [Create your own AI Agent](/open-source/create-your-own-agent)
diff --git a/docs/open-source/agents-with-actions.mdx b/docs/open-source/agents-with-actions.mdx
new file mode 100644
index 0000000000..2d0b9ffde5
--- /dev/null
+++ b/docs/open-source/agents-with-actions.mdx
@@ -0,0 +1,209 @@
+---
+title: 'Adding Actions to Agents'
+description: 'Empower agents to take actions during conversations.'
+---
+
+## Note: Support for actions is currently limited to `ChatGPTAgent`.
+
+## What are actions?
+
+Actions refer to specific tools an agent can execute during the conversation. These actions can encompass various activities like writing an email,
+scheduling an appointment, and so forth. They are implemented as classes derived from the `BaseAction` class.
+
+The `BaseAction` class has the following key structure:
+
+```python
+class BaseAction(Generic[ActionConfigType, ParametersType, ResponseType]):
+    def __init__(
+        self,
+        action_config: ActionConfigType,
+        should_respond: Literal["always", "sometimes", "never"] = "never",
+        quiet: bool = False,
+        is_interruptible: bool = True,
+        **kwargs,
+    ):
+        self.action_config = action_config
+        self.should_respond = should_respond
+        self.quiet = quiet
+        self.is_interruptible = is_interruptible
+    
+    async def run(self, action_input: ActionInput[ParametersType]) -> ActionOutput[ResponseType]:
+        raise NotImplementedError
+```
+
+Every action class derived from BaseAction must implement the run method, which is called to execute the action.
+Importantly, each action class should include a docstring for this method that explains the expected parameters, a config that can be used to create the action, and a response class.
+- This docstring is critical as it provides the information that the AI will consume in its prompt when instructing the execution of the action.
+- The config contains all the parameters needed to customize your action.
+- The response object is returned to the agent upon action completion and encodes its output, as well as if it was a success or failure.
+
+## How Agents use Actions
+
+The agent is responsible for managing and executing actions within a conversation. The agent consumes a configuration object at instantiation,
+which specifies the actions that the agent can perform.
+
+The agent configuration lists the actions available to the agent:
+
+```python
+class AgentConfig(AgentConfig, type=AgentType.Base.value):
+    actions: Optional[List[ActionConfig]]
+    # ...
+```
+
+### `ActionsWorker`: how actions are executed and consumed
+
+The `ActionsWorker` class plays a crucial role in the async processing of actions within the system. It's a specialized form of the `InterruptibleWorker` class,
+designed to handle the execution of actions and passing results back to the agent.
+
+The `ActionsWorker` is initialized with an input queue and an output queue. It uses an `ActionFactory` instance to create and execute actions based on the inputs it receives.
+
+The flow of actions is as follows:
+
+1. Agent sends action requests to the `ActionsWorker` through the worker's input queue.
+2. `ActionsWorker` reads the action request from the input queue. It then creates an instance of the appropriate action using the `ActionFactory`, and executes it using the provided parameters.
+3. The executed action returns an `ActionOutput` object which encapsulates the result of the action.
+4. `ActionsWorker` creates an `ActionResultAgentInput` from the `ActionOutput`, and puts it in its output queue.
+5. The agent then consumes the `ActionResultAgentInput` from the queue in its process method. This
+   result is added to the transcript of the conversation, and can influence the behavior of the agent in subsequent interactions.
+
+## Implementing your own action: Nylas email example
+
+In this section, we provide an example of an action, `NylasSendEmail`, which extends the `BaseAction` class. It implements the run method to send an email using the Nylas API.
+We will also show how to add this action to an agent and use it in a conversation.
+
+### Creating the Action
+```python
+import os
+from typing import Optional, Type
+
+from pydantic import Field
+from pydantic.v1 import BaseModel
+
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.models.actions import ActionConfig as VocodeActionConfig
+from vocode.streaming.models.actions import ActionInput, ActionOutput
+
+    
+_NYLAS_ACTION_DESCRIPTION = """Sends an email using Nylas API.
+The input to this action is the recipient emails, email body, optional subject.
+The subject should only be included if it is a new email thread.
+If there is no message id, the email will be sent as a new email. Otherwise, it will be sent as a reply to the given message. Make sure to include the previous message_id
+if you are replying to an email.
+"""
+
+
+class NylasSendEmailParameters(BaseModel):
+    email: str = Field(..., description="The email address to send the email to.")
+    subject: Optional[str] = Field(None, description="The subject of the email.")
+    body: str = Field(..., description="The body of the email.")
+
+
+class NylasSendEmailResponse(BaseModel):
+    success: bool
+
+
+class NylasSendEmailVocodeActionConfig(
+    VocodeActionConfig, type="action_nylas_send_email"  # type: ignore
+):
+    pass
+
+class NylasSendEmail(
+        BaseAction[
+            NylasSendEmailVocodeActionConfig,
+            NylasSendEmailParameters,
+            NylasSendEmailResponse,
+        ]
+    ):
+    description: str = _NYLAS_ACTION_DESCRIPTION
+    parameters_type: Type[NylasSendEmailParameters] = NylasSendEmailParameters
+    response_type: Type[NylasSendEmailResponse] = NylasSendEmailResponse
+
+    def __init__(
+        self,
+        action_config: NylasSendEmailVocodeActionConfig,
+    ):
+        super().__init__(
+            action_config,
+            quiet=True,
+            is_interruptible=True,
+        )
+
+    async def _end_of_run_hook(self) -> None:
+        """This method is called at the end of the run method. It is optional but intended to be
+        overridden if needed."""
+        print("Successfully sent email!")
+    
+    async def run(
+        self, action_input: ActionInput[NylasSendEmailParameters]
+    ) -> ActionOutput[NylasSendEmailResponse]:
+        from nylas import APIClient
+
+        # Initialize the Nylas client
+        nylas = APIClient(
+            client_id=os.getenv("NYLAS_CLIENT_ID"),
+            client_secret=os.getenv("NYLAS_CLIENT_SECRET"),
+            access_token=os.getenv("NYLAS_ACCESS_TOKEN"),
+        )
+
+        # Create the email draft
+        draft = nylas.drafts.create()
+        draft.body = action_input.params.body
+
+        draft.subject = (
+            action_input.params.subject.strip() if action_input.params.subject else "Email from Vocode"
+        )
+        draft.to = [{"email": action_input.params.email.strip()}]
+
+        # Send the email
+        draft.send()
+
+        await self._end_of_run_hook()
+        return ActionOutput(
+            action_type=action_input.action_config.type,
+            response=NylasSendEmailResponse(success=True),
+        )
+
+```
+We define a structured set of parameters that the LLM will fill, a response structure that the agent can ingest and use as context for the rest of the conversation, and an action
+config that crucially contains the `action_type` (but doesn't have any other specific parameters). We also add an `_end_of_run_hook()`, which we customized to log that the action successfully completed.
+
+
+### Making a custom `ActionFactory`
+To use our new action with an agent in a conversation, we will need to create an `ActionFactory` that can produce instances of the action.
+
+
+We will store the code above in `nylas_send_email.py` and make a factory that can create this action for an agent:
+
+```python
+from typing import Dict, Sequence, Type
+
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.action.nylas_send_email import NylasSendEmail
+from vocode.streaming.models.actions import ActionConfig
+
+class MyCustomActionFactory(AbstractActionFactory):
+    def create_action(self, action_config: ActionConfig):
+        if action_config.type == "action_nylas_send_email":
+            return NylasSendEmail(action_config)
+        else:
+            raise Exception("Action type not supported by Agent config.")
+```
+
+### Using your action and action factory in an agent
+
+Now you can use your action in any conversation by adding the action config to an agent config. For example in a ChatGPTAgentConfig,
+
+```python
+action_config = ChatGPTAgentConfig(
+    ...
+    actions = [
+        NylasSendEmailVocodeActionConfig(
+            type = "action_nylas_send_email"
+        )
+    ]
+)
+```
+
+When you pass in your new action factory [created above](#making-a-custom-actionfactory), any agent factory can use this config to generate an agent for conversations.
+See [Agent Factory](/open-source/agent-factory) for more information on how to use your action factory in an agent factory, as well as how to plug it into a telephony server.
diff --git a/docs/open-source/conversation-mechanics.mdx b/docs/open-source/conversation-mechanics.mdx
new file mode 100644
index 0000000000..513eef5039
--- /dev/null
+++ b/docs/open-source/conversation-mechanics.mdx
@@ -0,0 +1,53 @@
+---
+title: "Conversation Mechanics"
+description: "How to tune the responsiveness in Vocode conversations"
+---
+
+Building two-way conversations with an AI is a highly use-case specific task - how realistic the conversation is depends greatly on the nature of the conversation itself. In this guide, we'll cover some of the dials you can turn to configure the mechanics of a conversation in Vocode.
+
+# Endpointing
+
+Endpointing is the process of understanding when someone has finished speaking. The `EndpointingConfig` controls how this is done. There are a couple of different ways to configure endpointing:
+
+We provide `DeepgramEndpointingConfig()` which has some reasonable defaults and knobs to suit most use-cases (but only works with the Deepgram transcriber).
+
+```
+class DeepgramEndpointingConfig(EndpointingConfig, type="deepgram"):  # type: ignore
+    vad_threshold_ms: int = 500
+    utterance_cutoff_ms: int = 1000
+    time_silent_config: Optional[TimeSilentConfig] = Field(default_factory=TimeSilentConfig)
+    use_single_utterance_endpointing_for_first_utterance: bool = False
+```
+
+- `vad_threshold_ms`: translates to [Deepgram's `endpointing` feature](https://developers.deepgram.com/docs/endpointing#enable-feature)
+- `utterance_cutoff_ms`: uses [Deepgram's Utterance End features](https://developers.deepgram.com/docs/utterance-end)
+- `time_silent_config`: is a Vocode specific parameter that marks an utterance final if we haven't seen any new words in X seconds
+- `use_single_utterance_endpointing_for_first_utterance`: Uses `is_final` instead of `speech_final` for endpointing for the first utterance (works really well for outbound conversations, where the user's first utterance is something like "Hello?") - see [this doc on Deepgram](https://developers.deepgram.com/docs/understand-endpointing-interim-results) for more info.
+
+Endpointing is highly use-case specific - building a realistic experience for this greatly depends on the person speaking to the AI. Here are few paradigms that we've used to help you along the way:
+
+- Time-based endpointing: This method considers the speaker to be finished when there is a certain duration of silence.
+- Punctuation-based endpointing: This method considers the speaker to be finished when there is a certain duration of silence after a punctuation mark.
+
+# Interruptions
+
+When the AI speaks in a `StreamingConversation`, it can be interrupted by the user. `AgentConfig` itself provides a parameter called `interrupt_sensitivity` that can be used to control how sensitive the AI is to interruptions. Interrupt sensitivity has two options: low (default) and high. Low sensitivity makes the bot ignore backchannels (e.g. “sure”, “uh-huh”) while the bot is speaking. High sensitivity makes the agent treat any word from the human as an interruption.
+
+The implementation of this configuration is in `StreamingConversation.TranscriptionsWorker` - in order to make this work well, you may need to fork Vocode and override this behavior, but it provides a good starting place for most use-cases.
+
+Stay tuned, more dials to come here soon!
+
+# Conversation Speed
+
+`StreamingConversation` also exposes a parameter called `conversation_speed`, which controls the length of endpointing pauses, i.e. how long the bot will wait before responding to the human. This includes normal utterances from the human as well as interruptions.
+
+The amount of time the bot waits inversely scales with the `conversation_speed` value. So a bot with `conversation_speed` of 2 responds in half the time compared to a `conversation_speed` of 1. Likewise a `conversation_speed` of 0.5 means the bot takes twice as long to respond.
+
+```python
+conversation = StreamingConversation(
+    speed_coefficient=2
+    ...
+)
+```
+
+Based on the speed of the user's speech (we calculate the WPM from each final utterance that goes through the pipeline), the `speed_coefficient` updates throughout the course of the conversation - see `vocode.streaming.utils.speed_manager` to see this implementation!
diff --git a/docs/open-source/create-your-own-agent.mdx b/docs/open-source/create-your-own-agent.mdx
new file mode 100644
index 0000000000..f4df445f6a
--- /dev/null
+++ b/docs/open-source/create-your-own-agent.mdx
@@ -0,0 +1,51 @@
+---
+title: "Create your own AI Agent"
+description: "How to create a custom Agent for your use case."
+---
+
+You can subclass a [`RespondAgent`](https://github.com/vocodedev/vocode-python/blob/main/vocode/streaming/agent/base_agent.py#L140) to create a simple agent that can be passed into [`StreamingConversation`](https://github.com/vocodedev/vocode-python/blob/main/vocode/streaming/streaming_conversation.py).
+To do so, you must create an agent type, create an agent config, and then create your agent subclass. In the examples below, we will create an agent that responds with the same message no matter what is said to it, called `BrokenRecordAgent`.
+
+### Agent type
+Each agent has a unique agent type string that is checked in various parts of Vocode, most notably in the factories that create agents. So, you must create a new type for your custom agent. See the `AgentType` enum in `vocode/streaming/models/agent.py` for examples.
+For our `BrokenRecordAgent`, we will use "agent_broken_record" as our type.
+
+### Agent config
+Your agent must have a corresponding agent config that is a subclass of `AgentConfig` and is ([JSON-serializable](https://docs.pydantic.dev/latest/concepts/serialization/#modelmodel_dump_json)). Serialization is automatically handled by [Pydantic](https://docs.pydantic.dev/latest/).
+
+The agent config should only contain the information you need to deterministically create the same agent each time. This means with the same parameters in your config, the corresponding agent should have the same behavior each time you create it.
+
+For our `BrokenRecordAgent`, we create a config like:
+```python
+from vocode.streaming.models.agent import AgentConfig
+
+class BrokenRecordAgentConfig(AgentConfig, type="agent_broken_record"):
+    message: str # The message we will always return
+```
+
+### Custom Agent
+Now, you can create your custom agent subclass of `RespondAgent`. In your class header, pass in `RespondAgent` with a your agent type as a type hint. This should look like `RespondAgent[Your_Agent_Type]`.
+
+Each agent should override the `generate_response()` async method to support streaming and `respond()` method to support turn-based conversations. 
+> If you want to only support turn-based conversations, you do not have to overwrite `generate_response()` but you MUST set `generate_response=False` in your agent config (see `ChatVertexAIAgentConfig` in `vocode/streaming/models/agent.py` for an example). Otherwise, you must ALWAYS implement the `generate_response()` async method.
+
+The `generate_response()` method returns an `AsyncGenerator` of tuples containing each message/sentence and a boolean for whether that message can be interrupted by the human speaking. You can automatically create this generator by yielding instead of returning (see example below).
+
+We will now define our `BrokenRecordAgent`. Since we simply return the same message each time, we can return and yield that message in `respond()` and `generate_response()`, respectively:
+```python
+class BrokenRecordAgent(RespondAgent[BrokenRecordAgentConfig]):
+
+    # is_interrupt is True when the human has just interrupted the bot's last response
+    def respond(
+        self, human_input, is_interrupt: bool = False
+    ) -> tuple[Optional[str], bool]:
+        return self.agent_config.message
+
+    async def generate_response(
+        self, human_input, is_interrupt: bool = False
+    ) -> AsyncGenerator[Tuple[str, bool], None]: # message and whether or not the message is interruptible
+        """Returns a generator that yields the agent's response one sentence at a time."""
+        yield self.agent_config.message, False
+```
+
+See [our other agent implementations](https://github.com/vocodedev/vocode-python/tree/main/vocode/streaming/agent) for more examples!
diff --git a/docs/open-source/events-manager.mdx b/docs/open-source/events-manager.mdx
new file mode 100644
index 0000000000..b7558cb0ba
--- /dev/null
+++ b/docs/open-source/events-manager.mdx
@@ -0,0 +1,64 @@
+---
+title: "Events manager"
+description: "How events are emitted and consumed."
+---
+
+## What is the Events Manager
+
+The Events Manager consumes realtime events during conversations - it provides a framework to consume and take action on these events asychronously.
+
+## Current Event Types
+
+The current event types include:
+
+1. `TRANSCRIPT`: Indicates a partial transcript for the conversation has been received.
+2. `TRANSCRIPT_COMPLETE`: Indicates the transcript is complete (ie conversation has ended).
+3. `ACTION`: Indicates that a Vocode action has begun or completed.
+4. `PHONE_CALL_CONNECTED`: Indicates a phone call has been connected (only gets sent during `PhoneConversation`s)
+5. `PHONE_CALL_ENDED`: Indicates a phone call has ended.
+
+## Usage
+
+Using the events manager to take particular action when events fire requires that you subclass `vocode.streaming.utils.EventsManager` and override the `handle_event` method.
+
+You can also configure which events your `EventsManager` is subscribed to by using the `subscriptions` property (see example).
+
+### Example
+
+```python
+from vocode.streaming.models.events import Event, EventType
+
+from vocode.streaming.models.events import Event, EventType
+from vocode.streaming.models.transcript import TranscriptCompleteEvent
+from vocode.streaming.utils.events_manager import EventsManager
+
+
+class CustomEventsManager(EventsManager):
+    def __init__(self):
+        super().__init__([EventType.TRANSCRIPT_COMPLETE])
+
+    async def handle_event(self, event: Event):
+        if isinstance(event, TranscriptCompleteEvent):
+            print("The call has finished, the transcript was", event.transcript.to_string())
+```
+
+In this example, we create a custom `EventsManager` subclass is created with a subscription to the `TRANSCRIPT_COMPLETE` event and then print the transcript when we receive the event.
+
+To use `CustomEventsManager`, you can pass it into any Conversation, e.g.
+
+```
+...
+conversation = StreamingConversation(
+    ...,
+    events_manager=CustomEventsManager()
+)
+```
+
+You can also pass it into a `TelephonyServer`, like:
+
+```
+server = TelephonyServer(
+    ...,
+    events_manager=CustomEventsManager()
+)
+```
diff --git a/docs/open-source/external-action.mdx b/docs/open-source/external-action.mdx
new file mode 100644
index 0000000000..44c5de06a3
--- /dev/null
+++ b/docs/open-source/external-action.mdx
@@ -0,0 +1,263 @@
+---
+title: "External Actions"
+description: "Have your agent communicate with an External API"
+---
+
+External Actions allow Vocode agents to take actions outside the realm of a phone call. In particular, Vocode agents can decide to _push_ information to external systems via an API request, and _pull_ information from the API response in order to:
+
+1. give the agent context to inform the rest of the phone call
+2. change the agent’s behavior based on the pulled information
+3. run functions/tasks outside the call
+
+## How it Works
+
+### Configuring an External Action with `ExecuteExternalActionVocodeActionConfig`
+
+The Vocode Agent will determine after each turn of conversation if its the ideal time to interact with the External API based primarily on the configured External Action's `description` and `input_schema`!
+
+#### Overview
+
+- `processing_mode`: We currently only support `muted`, which makes the agent silent while processing the request.
+
+- `name`: the name of the external action -- this has no impact on the functionality of action itself.
+
+- `description`: Used by the Function Calling API to determine when to make the External Action call itself. See the [`description` field section below](/open-source/external-action#description-field) for more info!
+
+- `url`: The API request is sent to this URL in the format
+  defined below in [Responding to External Action API Requests](/open-source/external-action#input-schema-field)
+
+- `input_schema`: A [JSON Schema](https://json-schema.org/) for the payload to send to the External API. See the [`input_schema` field section below](/open-source/external-action#responding-to-external-action-api-requests) for more info!
+
+- `speak_on_send`: if `True`, then the underlying LLM will generate a message to be spoken as the
+  API request is being sent.
+
+- `speak_on_receive`: if `True`, then the agent will speak once it receives a result from the API Response. If the response does not contain an `agent_message` (see [Response Formatting](#response-formatting)), the agent will query the LLM for the message to speak.
+
+- `signature_secret`: a base64 encoded string to enable request validation, see the [Signature Validation section](/open-source/external-action#signature-validation) below for more info
+
+#### `input_schema` Field
+
+The `input_schema` field is a [JSON Schema](https://json-schema.org/) form the payload to send to the External API.
+
+For example, in the [Meeting Assistant Example](/open-source/external-action#meeting-assistant-example) below we formed the following JSON schema:
+
+```json
+{
+  "type": "object",
+  "properties": {
+    "length": {
+      "type": "string",
+      "enum": ["30m", "1hr"]
+    },
+    "time": {
+      "type": "string",
+      "pattern": "^d{2}:d0[ap]m$"
+    }
+  }
+}
+```
+
+This is stating the External API is expecting:
+
+- Two fields
+  - `length` (string): either "30m" or "1hr"
+  - `time` (string): a regex pattern defining a time ending in a zero with `am`/`pm` on the end ie: `10:30am`
+
+<Card title="💡 Note" color="#ca8b04">
+    If you’re noticing that this looks very familiar to OpenAI function calling, it is! Vocode treats OpenAI Function Calling as a first-class standard when the agent uses an OpenAI LLM.
+
+    The lone difference is that the top level `input_schema` JSON schema must be an `object` - this is so we can use JSON to send over parameters to the user’s API.
+
+</Card>
+
+#### `description` Field
+
+The `description` is best used to descibe your External Action's purpose. As its passed through directly to the LLM, its the best way to convey instructions to the underlying Vocode Agent.
+
+For example, in the [Meeting Assistant Example](/open-source/external-action#meeting-assistant-example) below we want to book a meeting for 30 minutes to an hour so we set the description as `Book a meeting for a 30 minute or 1 hour call.`
+
+<Card title="💡 Note" color="#ca8b04">
+  The `description` field is passed through and heavily affects how functions are triggered and queried,
+   so we recommend treating it similar to prompting for an LLM!
+</Card>
+
+### Responding to External Action API Requests
+
+Once an External Action has been created, the Vocode Agent will issue API requests to the defined `url` during the course of a phone call based on the [configuration noted above](/open-source/external-action#configuring-an-external-action-with-executeexternalactionvocodeactionconfig)
+The Vocode API will wait a maximum of _10 seconds_ before timing out the request.
+
+In particular, Vocode will issue a POST request to `url` with a JSON payload that specifically matches `input_schema`. Using the [Meeting Assistant Example](/open-source/external-action#meeting-assistant-example) below, the request will contain:
+
+```bash
+POST url HTTP/1.1
+Accept: application/json
+Content-Type: application/json
+x-vocode-signature: <encoded_signature>
+
+{
+  "payload": {
+    "length": "30m",
+    "time": "10:30am"
+  }
+}
+```
+
+#### Signature Validation
+
+A cryptographically signed signature of the request body and a randomly generated byte hash is included as a header (under `x-vocode-signature`) in the outbound request, so the receiving API can validate the identity of the incoming request. The signature secret is used to sign the request and ensure the validity of the `x-vocode-signature` field, and therefore *must be securely managed*.
+
+This should be set as a base64-encoded string and we recommend a longer length as well, using the following snippet as an example:
+
+```python
+import os
+import base64
+
+signature_secret = base64.b64encode(os.urandom(32)).decode()
+```
+
+Use the following code snippet to check the signature in an inbound request:
+
+```python
+import base64
+import hashlib
+import hmac
+
+async def test_requester_encodes_signature(
+  request_signature_value: str, signature_secret: str, payload: dict
+):
+    """
+    Asynchronous function to check if the request signature is encoded correctly.
+
+    Args:
+        request_signature_value (str): The request signature to be decoded.
+        signature_secret (str): The secret for the action (make sure this is stored securely).
+        payload (dict): The payload to be used for digest calculation.
+
+    Returns:
+        None
+    """
+    signature_secret_as_bytes = base64.b64decode(signature_secret)
+    decoded_digest = base64.b64decode(request_signature_value)
+    calculated_digest = hmac.new(signature_secret_as_bytes, json.dumps(payload).encode(), hashlib.sha256).digest()
+    assert hmac.compare_digest(decoded_digest, calculated_digest) is True
+
+```
+
+#### Response Formatting
+
+Vocode expects responses from the user’s API in JSON in the following format:
+
+```python
+Response {
+  result: Any
+  agent_message: Optional[str] = None
+}
+```
+
+- `result` is a payload containing the result of the action on the user’s side, and can be in any format
+- `agent_message` optionally contains a message that will be synthesized into audio and sent back to the phone call. Note this means the LLM will not be queried to send a message (see [Configuring the External Action](/open-source/external-action#configuring-an-external-action-with-executeexternalactionvocodeactionconfig) above for more info)
+
+In the [Meeting Assistant Example](/open-source/external-action#meeting-assistant-example) below, the user’s API could return back a JSON response that looks like:
+
+```json
+{
+  "result": {
+    "success": true
+  },
+  "agent_message": "I've set up a calendar appointment at 10:30am tomorrow for 30 minutes"
+}
+```
+
+## EA Local Response Server Example:
+
+The following is an example of a quick start to enable testing external actions locally.
+
+Running `fastapi dev app.py` will run the server @ `http://127.0.0.1:8000` and can be used for external actions locally!
+
+<CodeGroup>
+```python app.py
+import asyncio
+import base64
+import hashlib
+import hmac
+import json
+import time
+
+from fastapi import FastAPI, HTTPException, Request, status
+from pydantic import BaseModel
+
+app = FastAPI()
+
+action_secret = ""
+
+
+def is_signature_valid(request: Request, json_payload: dict):
+    signature_secret_as_bytes = base64.b64decode(action_secret)
+    decoded_digest = base64.b64decode(request.headers.get("x-vocode-signature"))
+    calculated_digest = hmac.new(
+        signature_secret_as_bytes, json.dumps(json_payload).encode(), hashlib.sha256
+    ).digest()
+    return hmac.compare_digest(decoded_digest, calculated_digest)
+
+
+@app.post("/external_action")
+def update_item(request: Request):
+    json_payload = asyncio.run(request.json())
+    print(json_payload)
+    if not is_signature_valid(request, json_payload):
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Signature verification failed for payload",
+        )
+    time.sleep(3)
+    return {
+        "result": {"success": True},
+    }
+````
+```txt requirements.txt
+pydantic==2.*
+fastapi==0.111.*
+````
+
+</CodeGroup>
+
+## Meeting Assistant Example
+
+This is an example of how to create an action config which will attempt to book a meeting for 30 minutes or an hour at any time ending in a zero (ie 10:30am is okay but 10:35am is not)
+
+```python Python
+import json
+import base64
+import os
+
+from vocode.streaming.action.execute_external_action import (
+    ExecuteExternalAction,
+    ExecuteExternalActionVocodeActionConfig,
+)
+
+ACTION_INPUT_SCHEMA = {
+    "type": "object",
+    "properties": {
+        "length": {
+            "type": "string",
+            "enum": ["30m", "1hr"],
+        },
+        "time": {
+            "type": "string",
+            "pattern": "^\d{2}:\d0[ap]m$",
+        },
+    },
+}
+
+action_config = ExecuteExternalActionVocodeActionConfig(
+    name = "Meeting_Booking_Assistant",
+    description = "Book a meeting for a 30 minute or 1 hour call.",
+    url = "http://example.com/booking",
+    speak_on_send = True,
+    speak_on_receive = True,
+    input_schema = json.dumps(ACTION_INPUT_SCHEMA),
+    signature_secret = base64.b64encode(os.urandom(32)).decode(),
+)
+```
+See [Action Agents](/open-source/action-agents#using-your-action-and-action-factory-in-an-agent) for an example of how to use this action config with an agent in a conversation.
+Note that you do not need to create a custom action factory, since `DefaultActionFactory` already supports external actions.
\ No newline at end of file
diff --git a/docs/how-it-works.mdx b/docs/open-source/how-it-works.mdx
similarity index 100%
rename from docs/how-it-works.mdx
rename to docs/open-source/how-it-works.mdx
diff --git a/docs/open-source/how-to-use-it.mdx b/docs/open-source/how-to-use-it.mdx
new file mode 100644
index 0000000000..bbf38d941e
--- /dev/null
+++ b/docs/open-source/how-to-use-it.mdx
@@ -0,0 +1,16 @@
+---
+title: "How to Use It"
+description: "Various ways to utilize Vocode."
+---
+
+## Understanding Our Open Source Libraries
+
+Vocode's Open Source supports Python, and a client library in React.
+
+### Getting Started with the Open Source Python Library
+
+Please refer to the [Python quickstart](/open-source/python-quickstart) guide.
+
+### Getting Started with the Open Source React Library
+
+Please refer to the [React quickstart](/open-source/react-quickstart) guide.
diff --git a/docs/langchain-agent.mdx b/docs/open-source/langchain-agent-dep.mdx
similarity index 55%
rename from docs/langchain-agent.mdx
rename to docs/open-source/langchain-agent-dep.mdx
index 577a6ac996..a5cafccb36 100644
--- a/docs/langchain-agent.mdx
+++ b/docs/open-source/langchain-agent-dep.mdx
@@ -1,5 +1,5 @@
 ---
-title: "Langchain agent"
+title: "(Deprecated) Langchain Agent"
 description: "Empower Langchain agents to interact with the real world via phone calls"
 ---
 
@@ -134,5 +134,76 @@ poetry run python main.py
 ```
 
 # Code explanation
+The Langchain agent is implemented in `main.py`. It uses the Langchain library to initialize an agent that can have a conversation.
 
-🚧 Under construction
+## Langchain Agent
+`main.py` instantiates the langchain agent and relevant tools. It sets an objective, initializes a Langchain agent, and runs the conversation.
+```python
+agent = initialize_agent(
+    tools=[get_all_contacts, call_phone_number, word_of_the_day],
+    llm=llm,
+    agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION,
+    verbose=verbose,
+    memory=memory,
+)
+```
+
+## Langchain tools
+
+### Tool to get all contacts
+```python
+@tool("get_all_contacts")
+def get_all_contacts(placeholder: str) -> List[dict]:
+    """Get contacts."""
+    return CONTACTS
+```
+
+### Tool to call phone number
+`tools/vocode.py` makes use of the `OutboundCall` class to initiate a phone call
+```python
+@tool("call phone number")
+def call_phone_number(input: str) -> str:
+    """calls a phone number as a bot and returns a transcript of the conversation.
+    the input to this tool is a pipe separated list of a phone number, a prompt, and the first thing the bot should say.
+    The prompt should instruct the bot with what to do on the call and be in the 3rd person,
+    like 'the assistant is performing this task' instead of 'perform this task'.
+
+    should only use this tool once it has found an adequate phone number to call.
+
+    for example, `+15555555555|the assistant is explaining the meaning of life|i'm going to tell you the meaning of life` will call +15555555555, say 'i'm going to tell you the meaning of life', and instruct the assistant to tell the human what the meaning of life is.
+    """
+    phone_number, prompt, initial_message = input.split("|", 2)
+    call = OutboundCall(
+        base_url=os.environ["TELEPHONY_SERVER_BASE_URL"],
+        to_phone=phone_number,
+        from_phone=os.environ["OUTBOUND_CALLER_NUMBER"],
+        config_manager=RedisConfigManager(),
+        agent_config=ChatGPTAgentConfig(
+            prompt_preamble=prompt,
+            initial_message=BaseMessage(text=initial_message),
+        ),
+        logger=logging.Logger("call_phone_number"),
+    )
+    LOOP.run_until_complete(call.start())
+    while True:
+        maybe_transcript = get_transcript(call.conversation_id)
+        if maybe_transcript:
+            delete_transcript(call.conversation_id)
+            return maybe_transcript
+        else:
+            time.sleep(1)
+```
+
+## TelephonyServer
+`telephony_app.py` instantiates a `TelephonyServer` object to manage the phone call initiated by `OutboundCall`
+```python
+telephony_server = TelephonyServer(
+    base_url=BASE_URL,
+    config_manager=config_manager,
+    inbound_call_configs=[],
+    events_manager=EventsManager(),
+    logger=logger,
+)
+
+app.include_router(telephony_server.get_router())
+```
\ No newline at end of file
diff --git a/docs/open-source/langchain-agent.mdx b/docs/open-source/langchain-agent.mdx
new file mode 100644
index 0000000000..142df30280
--- /dev/null
+++ b/docs/open-source/langchain-agent.mdx
@@ -0,0 +1,147 @@
+---
+title: "LangChain Agent"
+description: "Use LangChain to determine your agent's responses."
+---
+
+## Overview
+
+[LangChain](https://python.langchain.com/v0.2/docs/introduction/) offers tooling to create custom LLM pipelines for complex decision-making.
+Through LangChain, you can manage your LLM and prompts, and combine them with advanced techniques like RAG and multi-stage prompting, and sub-chains.
+The library also offers components for output parsing, complex document loading, and callbacks.
+
+**Note:** Vocode does not support actions with LangChain agents.\*
+
+### Installation
+
+Make sure to install the langchain optional dependencies by running
+
+```
+poetry install -E langchain -E langchain-extras
+```
+
+or
+
+```
+poetry install -E all
+```
+
+## Default Chain
+
+Vocode Core's LangChain agent defaults to using the `init_chat_model()` method described [here](https://python.langchain.com/v0.2/docs/how_to/chat_models_universal_init/).
+This implementation allows users to create a LangChain agent using a variety of [different model providers](https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.base.init_chat_model.html)
+by passing in the relevant `model` and `provider` params into the `LangchainAgentConfig`. For example, if I want to use an OpenAI agent, I would pass in an agent config like:
+
+```python
+from vocode.streaming.models.agent import LangchainAgentConfig
+
+agent_config = LangchainAgentConfig(
+    ...
+    model_name = "gpt-4o"
+    provider = "openai"
+    ...
+)
+```
+
+**Note:** Vocode Core includes the OpenAI, Anthropic, and Google VertexAI LangChain packages when you install the langchain extras in Poetry. If you want to use other LLM providers
+like AWS Bedrock, Cohere, Mistral, etc, you will need to manually install their LangChain integration packages.
+
+## Using Custom Chains
+
+Our `LangchainAgent` is designed to make it easy to plug in your own custom LangChain chains. You can either:
+
+1. Manually pass in a chain to the `LangchainAgent`
+2. Subclass the `LangchainAgent` and build custom processing to create a chain based off a `LangchainAgentConfig`
+
+### Manually pass in a chain
+
+The `LangchainAgent` constructor has a `chain` parameter where you can directly pass your chain. So, to use this in a conversation, you can create a custom `AgentFactory` that builds
+your chain when initializing the langchain agent.
+
+For example, we will design a factory which makes a custom chain querying Anthropic Claude Opus to make a poem at each agent turn:
+
+```python
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.models.agent import LangchainAgentConfig
+from vocode.streaming.agent.langchain_agent import LangchainAgent
+from langchain_anthropic import ChatAnthropic
+from langchain_core.prompts import ChatPromptTemplate
+
+class PoemAgentFactory(AbstractAgentFactory):
+    def create_agent(
+        self, agent_config: AgentConfig, logger: Optional[logging.Logger] = None
+    ) -> BaseAgent:
+        if isinstance(agent_config, LangchainAgentConfig):
+            prompt_template = ChatPromptTemplate.from_template("Make a random poem")
+            model = ChatAnthropic(model='claude-3-opus-20240229')
+            chain = prompt_template | model
+            return LangchainAgent(
+                agent_config = agent_config,
+                chain = chain,
+            )
+        else:
+            raise Exception("Invalid agent config")
+```
+
+### Creating custom chains from `LangchainAgentConfig`
+
+In some scenarios, you may want to create a complex chain from a config, where you can have different models and providers. For these cases, we recommend creating a subclass of the `LangchainAgent`
+and overwriting the `self.create_chain()` method. This method is called when a `LangchainAgent` is initialized without a `chain` manually passed into the constructor.
+Within this method, you can directly access the agent config at `self.agent_config` and build your own chain using its fields.
+
+For example below, we will design agent that builds a custom chain to query a Gemini LLM to generate a poem on a topic.
+The topic and LLM setup (provider and model name) will all be passed in via the config, allowing for strong customization.
+As a further example of this customizability, we will confirm the LLM provider is set to Google GenAI and raise an error otherwise.
+
+```python
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.models.agent import LangchainAgentConfig
+from vocode.streaming.agent.langchain_agent import LangchainAgent
+from langchain_google_genai import ChatGoogleGenerativeAI
+from langchain_core.prompts import ChatPromptTemplate
+
+class PoemLangchainAgentConfig(LangchainAgentConfig):
+    poem_topic: str
+
+class PoemLangchainAgent(LangchainAgent):
+    def create_chain(self):
+        if self.agent_config.provider != "google_genai":
+            raise Exception("PoemLangchainAgent only supports Google Generative AI models")
+
+        prompt_template = ChatPromptTemplate.from_template(f"Make a random poem about {self.agent_config.poem_topic}")
+        model = ChatGoogleGenerativeAI(
+            model=self.agent_config.model_name,
+            temperature=self.agent_config.temperature,
+            max_output_tokens=self.agent_config.max_tokens
+        )
+        chain = prompt_template | model
+        return chain
+
+
+class MyAgentFactory(AbstractAgentFactory):
+    def create_agent(
+        self, agent_config: AgentConfig, logger: Optional[logging.Logger] = None
+    ) -> BaseAgent:
+        if isinstance(agent_config, PoemLangchainAgentConfig):
+            return PoemLangchainAgent(
+                agent_config=agent_config
+            )
+        elif isinstance(agent_config, LangchainAgentConfig):
+            return LangchainAgent(
+                agent_config=agent_config,
+            )
+        else:
+            raise Exception("Invalid agent config")
+```
+
+Then, we can use the following agent config in conversations to use make poems about Vocode!
+
+```python
+from vocode.streaming.models.agent import LangchainAgentConfig
+
+agent_config = LangchainAgentConfig(
+    ...
+    model_name = "Vocode"
+    provider = "poem"
+    ...
+)
+```
diff --git a/docs/open-source/language-support.mdx b/docs/open-source/language-support.mdx
new file mode 100644
index 0000000000..004c5f089f
--- /dev/null
+++ b/docs/open-source/language-support.mdx
@@ -0,0 +1,60 @@
+---
+title: "Multilingual support"
+description: "How to configure different languages"
+---
+
+# Multilingual Support
+
+The vocode project can be configured to support multiple languages for speech synthesis and automatic speech recognition (ASR).
+
+## Speech Synthesis
+
+The speech synthesizer used in vocode is configurable. By default, the `AzureSynthesizer` is used which supports [over 75 voices across over 45 languages](https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/language-support?tabs=tts).
+
+To configure a different language, modify the `SynthesizerConfig` when initializing the conversation:
+
+```python
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+
+synthesizer_config = AzureSynthesizerConfig(
+    voice_name="de-DE-KatjaNeural" # German voice
+    language_code="de-DE" # Language of text to be synthesized
+)
+```
+
+## Transcription
+
+The transcriber used in vocode is also configurable. By default, `DeepgramTranscriber` is used which supports [over 35 languages](https://developers.deepgram.com/docs/languages-overview).
+
+To configure a different language model, modify the language code passed to `TranscriberConfig` when initializing the config object (`en-US` is the default):
+
+```python
+from vocode.streaming.models.transcriber import DeepgramTranscriberConfig
+
+transcriber_config = DeepgramTranscriberConfig(
+    language="es" # Spanish
+    model="nova-2" # Most languages are supported on the Nova 2 model
+)
+```
+
+***Note: the default model for Deepgram is Nova, so you must pass `model="nova-2"` to use that model.***
+
+Other transcription services like Google Cloud Speech or Assembly AI could also be used by configuring the appropriate `TranscriberConfig`.
+
+## Language Configuration
+
+It is recommended to load the speech synthesizer voice and transcription model from environment variables or configuration to avoid hard-coding language choices:
+
+```python
+import os
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.streaming.models.transcriber import DeepgramTranscriberConfig
+
+SYNTHESIZER_VOICE = os.getenv("SYNTHESIZER_VOICE", default="en-US-AriaNeural")
+ASR_MODEL = os.getenv("DEEPGRAM_MODEL", default="en-US")
+
+synthesizer_config = AzureSynthesizerConfig(voice=SYNTHESIZER_VOICE)
+transcriber_config = DeepgramTranscriberConfig(model=DEEPGRAM_MODEL)
+```
+
+This allows dynamically configuring the speech language without code changes.
diff --git a/docs/open-source/livekit-webrtc.mdx b/docs/open-source/livekit-webrtc.mdx
new file mode 100644
index 0000000000..d2409300fb
--- /dev/null
+++ b/docs/open-source/livekit-webrtc.mdx
@@ -0,0 +1,45 @@
+---
+title: "Using WebRTC with LiveKit"
+description: "Deploy your Vocode Agents using WebRTC"
+---
+
+# Overview
+
+[WebRTC](https://webrtc.org/) is an alternative to websockets for real-time P2P communication. Vocode Agents are compatible with both WebRTC and websockets, enabling developers to pick
+the stack best suited for their application.
+
+To connect Vocode agents to WebRTC, Vocode uses [LiveKit](https://livekit.io/)–an open source platform for building on WebRTC. For a background on how LiveKit
+works, please see their [documentation](https://docs.livekit.io/home/get-started/intro-to-livekit/).
+
+In this guide, we'll be walking through how to connect a Vocode Agent to the [LiveKit Agents Playground](https://agents-playground.livekit.io/).
+
+# Walkthrough: hooking up a Vocode Agent to a LiveKit Room
+
+## Setting up your LiveKit Server
+
+First, you'll want to set up a LiveKit Server for your Agent. For simplicity, we are using LiveKit's hosted offering–but it can also be self hosted, since LiveKit is open source!
+
+In our LiveKit dashboard, we first generate our websocket URL, API key, and Secret Key.
+
+![Setup](/images/livekit_keys.png)
+
+## Deploying your Vocode agent to a LiveKit Room
+
+Once you have your LiveKit Server credentials, we can hook it up to Vocode via the `LiveKitConversation` abstraction. Using the starter code in
+[vocode-core/apps/livekit/app.py](https://github.com/vocodedev/vocode-core/blob/main/apps/livekit/app.py), you can quickly deploy a Vocode Agent to accept
+new job requests.
+
+Fill in your credentials in `.env`:
+
+```bash
+
+LIVEKIT_SERVER_URL=wss://your-livekit-ws-url.livekit.cloud
+LIVEKIT_API_KEY="KEY"
+LIVEKIT_API_SECRET="SECRET"
+```
+
+Followed by
+`poetry run python app.py dev`
+
+And now you can connect to the [Agents Playground](https://agents-playground.livekit.io/) to interact with your agent. With LiveKit, you can connect Vocode
+agents to any web application and leverage their [React Component](https://docs.livekit.io/reference/components/react/) library.
diff --git a/docs/local-conversation.mdx b/docs/open-source/local-conversation.mdx
similarity index 100%
rename from docs/local-conversation.mdx
rename to docs/open-source/local-conversation.mdx
diff --git a/docs/open-source/logging-with-loguru.mdx b/docs/open-source/logging-with-loguru.mdx
new file mode 100644
index 0000000000..4205468e1f
--- /dev/null
+++ b/docs/open-source/logging-with-loguru.mdx
@@ -0,0 +1,73 @@
+---
+title: "Logging with Loguru"
+description: "Make logging set up less painful for local and production usage!"
+---
+
+Loguru is a powerful and flexible logging library for Python that simplifies logging setup and usage. It provides a more intuitive and feature-rich alternative to Python's built-in logging module.
+
+## Why Use Loguru?
+
+Loguru offers several advantages over the standard logging module:
+
+- **Ease of Use**: Loguru simplifies the process of setting up and using loggers.
+- **Rich Features**: It provides advanced features like automatic exception catching, structured logging, and more.
+- **Flexibility**: Loguru allows for easy configuration of different logging formats and destinations.
+
+## Using the Vocode Implementation
+
+The Vocode implementation of Loguru provides a seamless way to integrate logging into your application. It includes custom handlers and configuration functions to streamline the setup process. When utilizing the JSON logging configuration, it'll also pull relevant environment variables such as `conversation_id` and include them in the JSON output for better production debugging!
+
+### Setting Up Logging
+
+To set up logging in your application, you can use the provided configuration functions. Here's how to configure pretty printing for local development and JSON logging for production:
+
+#### Pretty Printing Locally
+
+To enable pretty printing locally, use the `configure_pretty_logging` function. This will set up Loguru to output logs with colored formatting, making them easier to read during development.
+
+```python
+from vocode.logging import configure_pretty_logging
+
+configure_pretty_logging()
+```
+
+#### JSON Logging in Production
+
+For production environments, you may want to log in JSON format for better integration with logging systems and easier parsing. Use the `configure_json_logging` function to set this up.
+
+```python
+from vocode.logging import configure_json_logging
+
+configure_json_logging()
+```
+
+### Why Use Different Setups?
+
+Using different logging setups for local and production environments can be beneficial for several reasons:
+
+- **Readability**: Pretty printing makes logs easier to read during development, helping you quickly identify issues.
+- **Structured Logging**: JSON logging provides structured logs that are easier to parse and analyze in production, especially when using log aggregation and monitoring tools.
+
+## Example Snippet
+
+Here's an example of how you can set up logging in your application:
+
+```python
+import os
+from vocode.logging import configure_pretty_logging, configure_json_logging
+
+DEPLOYED_ENVIRONMENTS = ["production", "staging"]
+ENVIRONMENT = os.environ.get("ENVIRONMENT", "development")
+
+def configure_logging() -> None:  # pragma: no cover
+    """Configures logging."""
+    if ENVIRONMENT in DEPLOYED_ENVIRONMENTS:
+        configure_json_logging()
+    else:
+        configure_pretty_logging()
+
+# Configure logging based on the environment
+configure_logging()
+
+# Your application code here
+```
diff --git a/docs/playground.mdx b/docs/open-source/playground.mdx
similarity index 73%
rename from docs/playground.mdx
rename to docs/open-source/playground.mdx
index 662e8f97e1..f6acb2da9f 100644
--- a/docs/playground.mdx
+++ b/docs/open-source/playground.mdx
@@ -8,6 +8,11 @@ test transcribers, agents, and synthesizers.
 
 To begin, clone the [repo](https://github.com/vocodedev/vocode-python).
 
+Install the core packages by running the following:
+```
+poetry install
+```
+
 # Streaming
 
 ## Transcriber
@@ -32,9 +37,11 @@ make chat
 
 ## Synthesizer
 
-1. Update your synthesizer configuration in `playground/streaming/synthesizer/synthesize.py`
+1. Install the synthesizer packages by running `poetry install --extras=synthesizers`
+
+2. Update your synthesizer configuration in `playground/streaming/synthesizer/synthesize.py`
 
-2. Run the following script to synthesize text to speech and play it to your speaker:
+3. Run the following script to synthesize text to speech and play it to your speaker:
 
 ```
 make synthesize
diff --git a/docs/python-quickstart.mdx b/docs/open-source/python-quickstart.mdx
similarity index 59%
rename from docs/python-quickstart.mdx
rename to docs/open-source/python-quickstart.mdx
index f42deb8f50..fb6f21b7fe 100644
--- a/docs/python-quickstart.mdx
+++ b/docs/open-source/python-quickstart.mdx
@@ -8,14 +8,11 @@ description: "Get up and running using Python"
 Install the [vocode package](https://pypi.org/project/vocode/):
 
 ```bash
-pip install 'vocode[io]'
+pip install vocode
 ```
 
 # Getting started
 
-The `io` extra installs the packages necessary to run our voice conversations locally, but is not needed for other surfaces, e.g. [phone calls](/telephony).
-You may need to install [portaudio](https://formulae.brew.sh/formula/portaudio) and [ffmpeg](https://formulae.brew.sh/formula/ffmpeg) on your system.
-
 ## Working with system audio
 
 We provide helper methods to hook into your system audio.
@@ -28,83 +25,100 @@ microphone_input, speaker_output = create_microphone_input_and_speaker_output(
 
 If the default I/O devices are not being set properly, set `use_default_devices` to `False` to select them before kicking off the conversation.
 
-## Self-hosted
-
-### Environments
+## Environments
 
 Vocode provides a unified interface across various speech transcription, speech synthesis, and AI/NLU providers.
 To use these providers with Vocode, you'll need to grab credentials from these providers and set them in the Vocode environment.
 
-```python
-# these can also be set as environment variables
-vocode.setenv(
-    OPENAI_API_KEY="<your OpenAI key>",
-    DEEPGRAM_API_KEY="<your Deepgram key>",
-    AZURE_SPEECH_KEY="<your Azure key>",
-    AZURE_SPEECH_REGION="<your Azure region>",
-)
-```
+You can either set the following parameters as environment variables (e.g. by specifying them in a `.env` file and using a package like `python-dotenv` to load), or set them manually in the pydantic settings (see below).
 
 For AZURE_SPEECH_REGION you should use the URL format. For example, if you're using the "East US" region, the value should be "eastus". See [Azure Region list](https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/rest-text-to-speech?tabs=streaming#prebuilt-neural-voices).
 
-We also offer a hosted solution where you don't need to worry about getting these credentials — see [below](#hosted).
+## `StreamingConversation` example
 
-### `StreamingConversation` example
+This can also be found in the [`quickstarts` directory](https://github.com/vocodedev/vocode-core/blob/main/quickstarts/streaming_conversation.py) of the repo.
 
 ```python
 import asyncio
 import signal
 
-import vocode
-from vocode.streaming.streaming_conversation import StreamingConversation
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
 from vocode.helpers import create_streaming_microphone_input_and_speaker_output
-from vocode.streaming.models.transcriber import (
-    DeepgramTranscriberConfig,
-    PunctuationEndpointingConfig,
-)
+from vocode.logging import configure_pretty_logging
 from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
 from vocode.streaming.models.agent import ChatGPTAgentConfig
 from vocode.streaming.models.message import BaseMessage
 from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.streaming.models.transcriber import (
+    DeepgramTranscriberConfig,
+    PunctuationEndpointingConfig,
+)
+from vocode.streaming.streaming_conversation import StreamingConversation
 from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
 from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
 
-# these can also be set as environment variables
-vocode.setenv(
-    OPENAI_API_KEY="<your OpenAI key>",
-    DEEPGRAM_API_KEY="<your Deepgram key>",
-    AZURE_SPEECH_KEY="<your Azure key>",
-    AZURE_SPEECH_REGION="<your Azure region>",
-)
+configure_pretty_logging()
+
+
+class Settings(BaseSettings):
+    """
+    Settings for the streaming conversation quickstart.
+    These parameters can be configured with environment variables.
+    """
+
+    openai_api_key: str = "ENTER_YOUR_OPENAI_API_KEY_HERE"
+    azure_speech_key: str = "ENTER_YOUR_AZURE_KEY_HERE"
+    deepgram_api_key: str = "ENTER_YOUR_DEEPGRAM_API_KEY_HERE"
+
+    azure_speech_region: str = "eastus"
+
+    # This means a .env file can be used to overload these settings
+    # ex: "OPENAI_API_KEY=my_key" will set openai_api_key over the default above
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+        extra="ignore"
+    )
+
+
+settings = Settings()
 
 
 async def main():
-    microphone_input, speaker_output = create_streaming_microphone_input_and_speaker_output(
-        use_default_devices=True,
+    (
+        microphone_input,
+        speaker_output,
+    ) = create_streaming_microphone_input_and_speaker_output(
+        use_default_devices=False,
+        use_blocking_speaker_output=True,  # this moves the playback to a separate thread, set to False to use the main thread
     )
 
     conversation = StreamingConversation(
         output_device=speaker_output,
         transcriber=DeepgramTranscriber(
             DeepgramTranscriberConfig.from_input_device(
-                microphone_input, endpointing_config=PunctuationEndpointingConfig()
-            )
+                microphone_input,
+                endpointing_config=PunctuationEndpointingConfig(),
+                api_key=settings.deepgram_api_key,
+            ),
         ),
         agent=ChatGPTAgent(
             ChatGPTAgentConfig(
-                initial_message=BaseMessage(text="Hello!"),
-                prompt_preamble="Have a pleasant conversation about life",
-            ),
+                openai_api_key=settings.openai_api_key,
+                initial_message=BaseMessage(text="What up"),
+                prompt_preamble="""The AI is having a pleasant conversation about life""",
+            )
         ),
         synthesizer=AzureSynthesizer(
-            AzureSynthesizerConfig.from_output_device(speaker_output)
+            AzureSynthesizerConfig.from_output_device(speaker_output),
+            azure_speech_key=settings.azure_speech_key,
+            azure_speech_region=settings.azure_speech_region,
         ),
     )
     await conversation.start()
     print("Conversation started, press Ctrl+C to end")
-    signal.signal(
-        signal.SIGINT, lambda _0, _1: asyncio.create_task(conversation.terminate())
-    )
+    signal.signal(signal.SIGINT, lambda _0, _1: asyncio.create_task(conversation.terminate()))
     while conversation.is_active():
         chunk = await microphone_input.get_audio()
         conversation.receive_audio(chunk)
diff --git a/docs/open-source/rag.mdx b/docs/open-source/rag.mdx
new file mode 100644
index 0000000000..0c0b4f5b7e
--- /dev/null
+++ b/docs/open-source/rag.mdx
@@ -0,0 +1,57 @@
+---
+title: "Retrieval-augmented generation (RAG)."
+description: "use agents knowledge via embeddings in Open Spurce library"
+---
+# Vocode Retrieval-augmented generation (RAG).
+## Introduction
+
+For Open Source developers building advanced conversational AI models, one challenge looms large: 
+limited context windows in prompts. Past interactions quickly vanish, forcing bots to rely on incomplete 
+information. Vocode introduces a novel solution: retrieval-augmented generation (RAG) powered by vector databases.
+
+## Here's how it works:
+
+- **Pre-computed embeddings:** Vocode leverages vector databases like Pinecone to store concise representations 
+  of relevant knowledge. These bite-sized "memory chunks" efficiently encode factual details, 
+  contexts, and even emotional nuances.
+- **Dynamic retrieval:** As your bot interacts, Vocode queries the database for embeddings most similar to the
+  current conversation. Think of it as a smart librarian fetching the most relevant books on the fly.
+- **Contextual guidance:** The retrieved embeddings are then fed to the language model, enriching its 
+  understanding of the ongoing dialogue. This enables the bot to generate more informed, contextually rich, 
+  and ultimately **smarter responses.**
+
+## Benefits for builders:
+- **Scalability:** Vector databases grow seamlessly with your needs, accommodating vast knowledge 
+  repositories without straining your system.
+- **Efficiency:** Say goodbye to bloated prompts filled with redundant information. Vocode delivers precise 
+  relevance with minimal data overhead.
+- **Openness:** Built on open-source principles, Vocode empowers developers to contribute, customize, and 
+  build upon its foundation.
+- **Transparency:** Explore the reasoning behind retrieved embeddings and gain valuable insights into your 
+  bot's decision-making process.
+
+## How to set up your Pinecone database
+
+In this guide, we'll get your Pinecone database fired up and ready to fuel your retrieval-augmented 
+chatbot with a robust knowledge base. Buckle up, developers!
+
+### 1. Create Your Vector Index:
+
+1. Navigate to the Pinecone dashboard and grab the "Create Index" button.
+2. Name your index something meaningful, like "vocode-documentation-vector" for our Vocode-documentation bot.
+3. Set the dimensions to 1536 for compatibility with your chosen OpenAI model.
+4. Stick with cosine metric for consistency.
+5. Hit "Create Index" and let the magic happen!
+
+![Setup](images/vectodb/pinecone-create-index.png)
+
+
+## Document loading script
+
+You can manaully add documents to Pinecone any way you like as long as you include the required metadata.
+If you have a folder of PDFs, docx files, text files, etc. that you want to add to pinecone, you can use
+the below script which uses [Unstructured](https://github.com/Unstructured-IOVector/unstructured) to parse
+many kinds of files types, extract the text, and add it to pinecone.
+
+`apps/voice-rag/manual_pinecone_ingestor.ipynb`
+
diff --git a/docs/open-source/react-quickstart.mdx b/docs/open-source/react-quickstart.mdx
new file mode 100644
index 0000000000..08f89cf6ee
--- /dev/null
+++ b/docs/open-source/react-quickstart.mdx
@@ -0,0 +1,80 @@
+---
+title: "React Quickstart"
+description: "Get up and running using React"
+---
+
+# Installation
+
+`npm install vocode`
+
+Or, start from our [Replit template](https://replit.com/@vocode/Simple-Conversation).
+
+# Usage
+
+## Setting up the conversation
+
+Our self-hosted backend allows you to expose a websocket route that operates like `StreamingConversation`.
+
+To get started, clone the Vocode repo or copy the [client backend app](https://github.com/vocodedev/vocode-python/tree/main/apps/client_backend) directory.
+
+### Environment
+
+Copy the `.env.template` and add your API keys.
+
+```
+cp .env.template .env
+```
+
+You'll need:
+
+- [Deepgram](https://deepgram.com) (for speech transcription)
+- [OpenAI](https://platform.openai.com) (for the underlying agent)
+- [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/text-to-speech/) (for speech synthesis)
+
+```
+DEEPGRAM_API_KEY=
+OPENAI_API_KEY=
+AZURE_SPEECH_KEY=
+AZURE_SPEECH_REGION=
+```
+
+### Running with Docker
+
+From the `client_backend` directory:
+
+```
+docker build -t vocode-client-backend .
+docker run --env-file=.env -p 3000:3000 -t vocode-client-backend
+```
+
+### Running with Python
+
+```
+pip3 install vocode
+uvicorn main:app --port 3000
+```
+
+You now have a server with a Vocode websocket route at localhost:3000! You can now use the `useConversation` hook with your self-hosted backend as follows:
+
+```typescript
+import { useConversation } from "vocode";
+
+const { status, start, stop, error, analyserNode } = useConversation({
+  backendUrl: "<YOUR_BACKEND_URL>", // looks like ws://localhost:3000/conversation or wss://asdf1234.ngrok.app/conversation if using ngrok
+  audioDeviceConfig: {},
+});
+```
+
+Use the `status`, `start`, and `stop` objects within your React components to control conversations with your self-hosted backend, e.g.
+
+```jsx
+<>
+  {status === "idle" && <p>Press me to talk!</p>}
+  {status == "error" && error && <p>{error.message}</p>}
+
+  <button
+    disabled={["connecting"].includes(status)}
+    onClick={status === "connected" ? stop : start}
+  ></button>
+</>
+```
diff --git a/docs/open-source/sentry.mdx b/docs/open-source/sentry.mdx
new file mode 100644
index 0000000000..abf01a3755
--- /dev/null
+++ b/docs/open-source/sentry.mdx
@@ -0,0 +1,135 @@
+---
+title: "[Beta] Sentry Integration"
+description: "Integrate Sentry for error tracking and performance monitoring"
+---
+
+## What is Sentry?
+
+[Sentry](https://sentry.io/) is an open-source error tracking tool that helps developers monitor and fix crashes in real-time. It provides insights into the health of your applications by capturing and reporting errors, exceptions, and performance issues.
+
+## Why integrate Sentry?
+
+Integrating Sentry into your application allows you to:
+
+- Automatically capture and report errors and exceptions.
+- Monitor the performance of your application.
+- Gain insights into the user experience and identify bottlenecks.
+- Improve the overall reliability and stability of your application.
+
+## Configuring Sentry
+
+To integrate Sentry into your application, you need to initialize the Sentry SDK at the earliest instantiation point in your code. This ensures that Sentry starts capturing errors and performance data as soon as possible.
+
+Here's how you can configure the Sentry SDK:
+
+```python
+import os
+import sentry_sdk
+from sentry_sdk.integrations.asyncio import AsyncioIntegration
+from sentry_sdk.integrations.loguru import LoguruIntegration
+
+sentry_sdk.init(
+    dsn=os.getenv("SENTRY_DSN"),
+    environment=os.getenv("ENVIRONMENT"),
+    # Sample rate for transactions (performance).
+    traces_sample_rate=1.0,
+    # Sample rate for exceptions / crashes.
+    sample_rate=1.0,
+    max_request_body_size="always",
+    integrations=[
+        AsyncioIntegration(),
+        LoguruIntegration(),
+    ],
+)
+```
+
+Head to [sentry.io](sentry.io) to get your DSN! See https://docs.sentry.io/platforms/python/configuration/options/ for more info about the above options.
+
+## Instrumenting your application
+
+Vocode exposes a set of custom spans that get automatically sent to Sentry during Vocode conversations. To use these spans, you'll need to manually attach a transaction to the current scope.
+
+### Example 1: Streaming Conversation
+
+Update `quickstarts/streaming_conversation.py`, replace the `main` function with the following code:
+
+```python
+import sentry_sdk
+from sentry_sdk.integrations.asyncio import AsyncioIntegration
+from sentry_sdk.integrations.loguru import LoguruIntegration
+from vocode import sentry_transaction
+
+sentry_sdk.init(
+    ...,
+    integrations=[
+        AsyncioIntegration(),
+        LoguruIntegration(),
+    ],
+)
+
+async def main():
+    ...
+    await conversation.start()
+    ...
+
+
+if __name__ == "__main__":
+    with sentry_sdk.start_transaction(
+        op="streaming_conversation", description="streaming_conversation"
+    ) as sentry_txn:
+        sentry_transaction.set(sentry_txn)
+        asyncio.run(main())
+```
+
+Head to the Performance pane in Sentry and click into the trace, you should see something that looks like this:
+
+![Sentry Transaction](/images/sentry.png)
+
+### Example 2: Telephony Server
+
+Simply instantiate the Sentry SDK at the top of the file, e.g. in `app/telephony_app/main.py`
+
+```python
+sentry_sdk.init(
+    ...
+)
+
+app = FastAPI(docs_url=None)
+```
+
+## Custom Spans Overview
+
+### Latency of Conversation
+
+**Latency of Conversation** _(`LATENCY_OF_CONVERSATION`)_ measures the overall latency of a conversation, from when the user finishes their utterance to when the agent begins its response. It is broken up into the following sub-spans:
+
+- **[Deepgram Only] Endpointing Latency** _(`ENDPOINTING_LATENCY`)_: Captures the extra latency involved from retrieving finalized transcripts from Deepgram before deciding to invoke the agent.
+- **Language model Time to First Token** _(`LANGUAGE_MODEL_TIME_TO_FIRST_TOKEN`)_: Tracks the time taken by the language model to generate the first token (word or character) in its response.
+- **Synthesis Time to First Token** _(`SYNTHESIS_TIME_TO_FIRST_TOKEN`)_: Measures the time taken by the synthesizer to generate the first token in the synthesized speech. This is useful for evaluating the initial response time of the synthesizer.
+
+### Deepgram
+
+We capture the following spans in our Deepgram integration:
+
+- **Connected to First Send** _(`CONNECTED_TO_FIRST_SEND`)_: Measures the time from when the Deepgram websocket connection is established to when the first data is sent
+- **[Deepgram Only] First Send to First Receive** _(`FIRST_SEND_TO_FIRST_RECEIVE`)_: Measures the time from when the first data is sent to Deepgram to when the first response is received
+- **[Deepgram Only] Start to Connection** _(`START_TO_CONNECTION`)_: Tracks the time it takes to establish the websocket connection with Deepgram
+
+### LLM
+
+For our OpenAI and Anthropic integrations, we capture:
+
+- **Time to First Token** _(`TIME_TO_FIRST_TOKEN`)_: Measures the time taken by the language model to generate the first token (word or character) in its response.
+- **LLM First Sentence Total** _(`LLM_FIRST_SENTENCE_TOTAL`)_: Measures the total time taken by the language model to generate the first complete sentence.
+
+### Synthesizer
+
+For most of our synthesizer integrations, we capture:
+
+- **Synthesis Generate First Chunk** _(`SYNTHESIS_GENERATE_FIRST_CHUNK`)_: Measures the time taken to generate the first chunk of synthesized speech.
+- **Synthesizer Synthesis Total** _(`SYNTHESIZER_SYNTHESIS_TOTAL`)_: Tracks the total time taken for the entire speech synthesis process. This span helps in understanding the overall performance of the synthesizer.
+
+These spans will have the actual synthesizer's name prepended to them. For example, if the synthesizer is `ElevenLabsSynthesizer`, the span `SYNTHESIZER_SYNTHESIS_TOTAL` will be recorded as `ElevenLabsSynthesizer.synthesis_total`:
+
+- **Synthesis Total** _(`SYNTHESIZER_SYNTHESIS_TOTAL`)_
+- **Time to First Token** _(`SYNTHESIZER_TIME_TO_FIRST_TOKEN`)_
diff --git a/docs/open-source/synthesizer-reference.mdx b/docs/open-source/synthesizer-reference.mdx
new file mode 100644
index 0000000000..5ce320d010
--- /dev/null
+++ b/docs/open-source/synthesizer-reference.mdx
@@ -0,0 +1,207 @@
+---
+title: "Synthesizer Reference"
+---
+
+# `SynthesizerConfig`
+
+<ParamField body="sampling_rate" type="int">
+  The sampling rate of the audio in Hz.
+</ParamField>
+
+<ParamField body="audio_encoding" type="AudioEncoding">
+  The encoding format for the audio data.
+</ParamField>
+
+<ParamField body="should_encode_as_wav" type="bool">
+  Whether the audio chunks returned should be encoded as WAV format. Defaults to False.
+</ParamField>
+
+<ParamField body="sentiment_config" type="Optional[SentimentConfig]">
+  Optional configuration for controlling sentiment/emotion in the synthesized speech.
+</ParamField>
+
+
+# `AzureSynthesizerConfig`
+
+<ParamField body="voice_name" type="str">
+  The name of the voice to use. Defaults to "en-US-SteffanNeural".
+</ParamField>
+
+<ParamField body="pitch" type="int">
+  The pitch of the voice, as a percentage adjustment. Defaults to 0.
+</ParamField>
+
+<ParamField body="rate" type="int">
+  The speaking rate of the voice, as a percentage adjustment. Defaults to 15.
+</ParamField>
+
+<ParamField body="language_code" type="str">
+  The language code to use. Defaults to "en-US".
+</ParamField>
+
+
+# `GoogleSynthesizerConfig` 
+
+<ParamField body="language_code" type="str">
+  The language code to use for synthesis. Defaults to "en-US".
+</ParamField>
+
+<ParamField body="voice_name" type="str">
+  The name of the Google Cloud Text-to-Speech voice to use. Defaults to "en-US-Neural2-I".
+</ParamField>
+
+<ParamField body="pitch" type="float">
+  The pitch of the voice. Defaults to 0.
+</ParamField>
+
+<ParamField body="speaking_rate" type="float">
+  The speaking rate of the voice. Defaults to 1.2
+</ParamField>
+
+
+# `ElevenLabsSynthesizerConfig`
+
+<ParamField body="api_key" type="Optional[str]">
+  The API key for accessing the ElevenLabs API.
+</ParamField>
+
+<ParamField body="voice_id" type="Optional[str]">
+  The ID of the voice to use. Defaults to Adam voice.
+</ParamField>
+
+<ParamField body="optimize_streaming_latency" type="Optional[int]">
+  Level of latency optimization between 0-4.
+</ParamField>
+
+<ParamField body="experimental_streaming" type="Optional[bool]">
+  Whether to use experimental streaming.
+</ParamField>
+
+<ParamField body="stability" type="Optional[float]">
+  Stability level for voice. Used with similarity_boost.
+</ParamField>
+
+<ParamField body="similarity_boost" type="Optional[float]">
+  Similarity boost level for voice. Used with stability.
+</ParamField>
+
+<ParamField body="model_id" type="Optional[str]">
+  Custom model ID to use.
+</ParamField>
+
+
+# `RimeSynthesizerConfig`
+
+<ParamField body="speaker" type="str">
+  Name of Rime speaker to use. Defaults to "young_male_unmarked-1".
+</ParamField>
+
+<ParamField body="sampling_rate" type="int">
+  Sampling rate of generated audio. Defaults to 22050.
+</ParamField>
+
+<ParamField body="base_url" type="str">
+  Base URL for Rime API. Defaults to "https://rjmopratfrdjgmfmaios.functions.supabase.co/rime-tts"
+</ParamField>
+
+<ParamField body="speed_alpha" type="Optional[float]">
+  Speed adjustment factor. Defaults to None.
+</ParamField>
+
+
+# `PlayHtSynthesizerConfig`
+
+<ParamField body="api_key" type="Optional[str]">
+  API key for Play.ht API.
+</ParamField>
+
+<ParamField body="user_id" type="Optional[str]">
+  User ID for Play.ht API.
+</ParamField>
+
+<ParamField body="speed" type="Optional[int]">
+  Speed adjustment.
+</ParamField>
+
+<ParamField body="seed" type="Optional[int]">
+  Random seed for stochastic models.
+</ParamField>
+
+<ParamField body="temperature" type="Optional[int]">
+  Sampling temperature for stochastic models.
+</ParamField>
+
+<ParamField body="voice_id" type="str">
+  ID of voice to use. Defaults to "larry"
+</ParamField>
+
+<ParamField body="experimental_streaming" type="bool">
+  Whether to use experimental streaming. Defaults to False.
+</ParamField>
+
+
+# `StreamElementsSynthesizerConfig`
+
+<ParamField body="voice" type="str">
+  Name of StreamElements voice to use. Defaults to "Brian".
+</ParamField>
+
+
+# `CoquiTTSSynthesizerConfig`
+
+<ParamField body="tts_kwargs" type="dict">
+  Keyword arguments for Coqui TTS model.
+</ParamField>
+
+<ParamField body="speaker" type="Optional[str]">
+  Speaker ID for multi-speaker models. Defaults to None.
+</ParamField>
+
+<ParamField body="language" type="Optional[str]">
+  Language code for multi-lingual models. Defaults to None.
+</ParamField>
+
+
+# `CoquiSynthesizerConfig`
+
+<ParamField body="api_key" type="Optional[str]">
+  API key for Coqui API.
+</ParamField>
+
+<ParamField body="voice_id" type="Optional[str]">
+  ID of voice to use. Defaults to "ebe2db86-62a6-49a1-907a-9a1360d4416e"
+</ParamField>
+
+<ParamField body="voice_prompt" type="Optional[str]">
+  Voice prompt to use instead of voice ID.
+</ParamField>
+
+<ParamField body="use_xtts" type="Optional[bool]">
+  Whether to use X-Tts voices.
+</ParamField>
+
+
+# `BarkSynthesizerConfig`
+
+<ParamField body="preload_kwargs" type="Dict[str, Any]">
+  Kwargs for Bark model preloading.
+</ParamField>
+
+<ParamField body="generate_kwargs" type="Dict[str, Any]">
+  Kwargs for Bark audio generation.
+</ParamField>
+
+
+# `PollySynthesizerConfig`
+
+<ParamField body="language_code" type="str">
+  Language code to use. Defaults to "en-US".
+</ParamField>
+
+<ParamField body="voice_id" type="str">
+  Voice ID of the Polly voice to use. Defaults to "Matthew".
+</ParamField>
+
+<ParamField body="sampling_rate" type="int">
+  Sampling rate of generated audio. Defaults to 16000.
+</ParamField>
\ No newline at end of file
diff --git a/docs/synthesizer.mdx b/docs/open-source/synthesizer.mdx
similarity index 100%
rename from docs/synthesizer.mdx
rename to docs/open-source/synthesizer.mdx
diff --git a/docs/open-source/telephony.mdx b/docs/open-source/telephony.mdx
new file mode 100644
index 0000000000..6537e1e3b5
--- /dev/null
+++ b/docs/open-source/telephony.mdx
@@ -0,0 +1,191 @@
+---
+title: "Working with phone calls"
+description: "How to use agents with inbound and outbound phone calls."
+---
+
+# Overview
+
+Vocode supports using agents with inbound and outbound phone calls. Users
+can [create their own agents](/open-source/create-your-own-agent) and use them
+to fulfill a variety of use cases like information collection, appointment scheduling,
+sales, customer support, and more.
+
+# Requirements
+
+1. [Ngrok](https://ngrok.com/) (used to host the `TelephonyServer` locally)
+2. [ffmpeg](https://ffmpeg.org/)
+   a. If you have Homebrew installed, run `brew install ffmpeg`
+3. [Redis](https://redis.com/)
+   a. If you have Homebrew installed, run `brew install redis`
+4. (optional) [Docker](https://www.docker.com/)
+
+# Environments
+
+1. Copy the `.env.template` file and fill in the values of your API keys. You'll need to get API keys for:
+
+- [Deepgram](https://deepgram.com) (for speech transcription)
+- [OpenAI](https://platform.openai.com) (for the underlying agent)
+- [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/text-to-speech/) (for speech synthesis)
+- [Twilio](https://console.twilio.com/) (for telephony)
+
+```bash
+cp .env.template .env
+```
+
+2. Set up hosting so that Twilio can hit your server. An easy way to do this is `ngrok`: in our code we set it up to be running on port 3000, run:
+
+```
+ngrok http 3000
+```
+
+Copy the URL that is tunneling localhost:3000 to your `.env` without `https://`, e.g.
+
+```
+BASE_URL=asdf1234.ngrok.app
+```
+
+# Telephony Server
+
+The `TelephonyServer` is–as implied by the name–a server that is responsible for
+receiving and making phone calls.
+The server is built using FastAPI and utilizes Twilio for telephony services.
+
+Clone the Vocode repo or copy the [Telephony app](https://github.com/vocodedev/vocode-python/tree/main/apps/telephony_app) directory.
+
+## Running the server
+
+Pick one of these two ways to run the server: 1. Run everything with Docker, 2. Run Python directly
+
+### Option 1: Run everything With Docker
+
+1. Build the telephony app Docker image. From the `telephony_app` directory, run:
+
+```bash
+docker build -t vocode-telephony-app .
+```
+
+2. Run the application using `docker-compose`. From the `telephony_app` directory, run:
+
+```bash
+docker-compose up
+```
+
+### Option 2: Run Python directly
+
+Run the following steps from the `telephony_app` directory.
+
+1. Install [Poetry](https://python-poetry.org/) and install dependencies.
+
+```
+poetry install
+```
+
+2. Run Redis with the default port of 6379.
+
+For example, using Homebrew:
+
+```
+brew services start redis
+```
+
+Or if you prefer to use Docker for this part:
+
+```
+docker run -dp 6379:6379 -it redis/redis-stack:latest
+```
+
+3. Run the server with `uvicorn` (should be already installed in step 1).
+
+```
+poetry run uvicorn main:app --port 3000
+```
+
+## Setting up an inbound number
+
+1. Create a [Twilio](https://www.twilio.com/) account
+2. Once inside your dashboard, go to Phone Numbers -> Manage -> Buy a number to get a phone number.
+3. Then, go to Phone Numbers -> Manage -> Active Numbers and select the number you want to set up.
+4. Update the config to point the Webhook URL to `https://<YOUR BASE URL>/inbound_call` - if you're using `ngrok`, it looks like `https://asdf1234.ngrok.app/inbound_call`
+
+![Setup](/images/twilio_number_config.png)
+
+5. Hit **Save** and call the number!
+
+## Executing outbound calls
+
+Make sure the server we just set up is already running. Then, in `outbound_call.py`
+
+Replace the `to_phone` with the number you want to call and the `from_phone` with the number you want to call from. In order to make a call from the `from_phone`, you must have access to it via Twilio (either a number purchased via Twilio or verify the caller ID).
+
+Run the script with `poetry run python outbound_call.py`.
+
+## Configuration
+
+Both the `OutboundCall` (in `outbound_call.py`) and `InboundCallConfig` (in `telephony_app.py`) classes can accept a `TranscriberConfig`, `AgentConfig`
+or `SynthesizerConfig` - the default transcriber is Deepgram and the default synthesizer is Azure.
+
+This example sets up an agent that spells every word that is sent to it - any text-in, text-out function can be turned into a voice conversation by subclassing `BaseAgent` and creating an `AgentFactory`.
+
+```
+import typing
+from typing import Optional, Tuple
+
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.agent.base_agent import BaseAgent, RespondAgent
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.models.agent import AgentConfig, AgentType, ChatGPTAgentConfig
+
+
+class SpellerAgentConfig(AgentConfig, type="agent_speller"):
+    pass
+
+
+class SpellerAgent(RespondAgent[SpellerAgentConfig]):
+    async def respond(
+        self,
+        human_input: str,
+        conversation_id: str,
+        is_interrupt: bool = False,
+    ) -> Tuple[Optional[str], bool]:
+        return "".join(c + " " for c in human_input), False
+
+
+class SpellerAgentFactory(AbstractAgentFactory):
+    def create_agent(self, agent_config: AgentConfig) -> BaseAgent:
+        # If the agent configuration type is CHAT_GPT, create a ChatGPTAgent.
+        if isinstance(agent_config, ChatGPTAgentConfig):
+            return ChatGPTAgent(agent_config=agent_config)
+        # If the agent configuration type is agent_speller, create a SpellerAgent.
+        elif isinstance(agent_config, SpellerAgentConfig):
+            return SpellerAgent(agent_config=agent_config)
+        # If the agent configuration type is not recognized, raise an exception.
+        raise Exception("Invalid agent config")
+```
+
+An `AgentFactory` instance is passed into the `TelephonyServer` in `telephony_app.py`.
+
+We provide a small set of agents with already created `AgentConfig`s, including, importantly, one that sets up ChatGPT with a configured prompt: see our `Python Quickstart` for more info.
+
+### Accessing call information in your agent
+
+We store the `to` and `from` numbers in the [`ConfigManager`](https://github.com/vocodedev/vocode-core/blob/53b01dab0b59f71961ee83dbcaf3653a6935c2e3/apps/telephony_app/main.py#L30) - so
+if you'd like to access them in your agent, you can instantiate the manager to hook into the same Redis instance:
+
+```
+class SpellerAgent(BaseAgent):
+    def __init__(self, agent_config: SpellerAgentConfig):
+        super().__init__(agent_config=agent_config)
+        self.config_manager = RedisConfigManager()
+
+    async def respond(
+        self,
+        human_input: str,
+        conversation_id: str,
+        is_interrupt: bool = False,
+    ) -> Tuple[Optional[str], bool]:
+        call_config = self.config_manager.get_config(conversation_id)
+        if call_config is not None:
+            from_phone = call_config.twilio_from
+            to_phone = call_config.twilio_to
+        return "".join(c + " " for c in human_input), False
+```
diff --git a/docs/open-source/transcriber-reference.mdx b/docs/open-source/transcriber-reference.mdx
new file mode 100644
index 0000000000..4c493e293c
--- /dev/null
+++ b/docs/open-source/transcriber-reference.mdx
@@ -0,0 +1,118 @@
+---
+title: "Transcriber Reference"
+---
+
+# `TranscriberConfig`
+
+<ParamField body="sampling_rate" type="int">
+  The sampling rate of the audio in samples per second (Hz). A higher sampling
+  rate provides better audio quality but may increase processing time and data
+  size.
+</ParamField>
+
+<ParamField body="audio_encoding" type="AudioEncoding">
+  The encoding format of the audio data. Options include: LINEAR16, MULAW.
+</ParamField>
+
+<ParamField body="chunk_size" type="int">
+  The size of each chunk of audio data sent to the transcriber, in bytes. A
+  larger chunk size can reduce network overhead but may increase latency.
+</ParamField>
+
+<ParamField body="endpointing_config" type="Optional[EndpointingConfig]">
+  Optional endpointing configuration to determine when a transcription segment should end. If not provided, default endpointing behavior will be used.
+</ParamField>
+
+<ParamField body="downsampling" type="Optional[int]">
+  Optional downsampling factor to reduce the sampling rate of the audio before sending to the transcriber. Can be used to reduce bandwidth usage.
+</ParamField>
+
+<ParamField body="min_interrupt_confidence" type="Optional[float]">
+  Optional minimum confidence threshold for interrupting the transcription.
+  Confidence values range from 0 to 1, with higher values indicating greater
+  confidence. If provided, transcriptions will only be interrupted when the
+  confidence exceeds the threshold. If not provided, the default interrupting
+  behavior will be used.
+</ParamField>
+
+<ParamField body="mute_during_speech" type="bool">
+  If true, silence audio chunks will be sent to the transcriber while a transcription is in progress. Can be used to prevent echo during live transcription.
+</ParamField>
+
+
+# `DeepgramTranscriberConfig`
+
+<ParamField body="language" type="Optional[str]">
+  Optional language code to use for transcription.
+</ParamField>
+
+<ParamField body="model" type="Optional[str]">
+  Optional Deepgram model to use for transcription. Defaults to "nova".
+</ParamField>
+
+<ParamField body="tier" type="Optional[str]">
+  Optional Deepgram tier to use for transcription.
+</ParamField>
+
+<ParamField body="version" type="Optional[str]">
+  Optional Deepgram version to use for transcription. Defaults to latest version if not provided.
+</ParamField>
+
+<ParamField body="keywords" type="Optional[List[str]]">
+  Optional list of keywords to boost in the transcription results.
+</ParamField>
+
+
+# `GoogleTranscriberConfig`
+
+<ParamField body="model" type="Optional[str]">
+  Optional Google Cloud Speech model to use for transcription.
+</ParamField>
+
+<ParamField body="language_code" type="str">
+  Language code to use for transcription. Defaults to "en-US".
+</ParamField>
+
+
+# `AssemblyAITranscriberConfig`
+
+<ParamField body="buffer_size_seconds" type="float">
+  Buffer duration in seconds to accumulate audio before sending to AssemblyAI. Defaults to 0.1s.
+</ParamField>
+
+<ParamField body="word_boost" type="Optional[List[str]]">
+  Optional list of words to boost in the transcription results.
+</ParamField>
+
+
+# `WhisperCPPTranscriberConfig`
+
+<ParamField body="buffer_size_seconds" type="float">
+  Buffer duration in seconds to accumulate audio before sending to WhisperCPP. Defaults to 1.0s.
+</ParamField>
+
+<ParamField body="libname" type="str">
+  Filename of the WhisperCPP shared library.
+</ParamField>
+
+<ParamField body="fname_model" type="str">
+  Filename of the WhisperCPP model.
+</ParamField>
+
+
+# `AzureTranscriberConfig`
+
+<ParamField body="language" type="str">
+  Language code to use for transcription. Defaults to "en-US".
+</ParamField>
+
+<ParamField body="candidate_languages" type="Optional[List[str]]">
+  Optional list of candidate languages to auto-detect from the audio.
+</ParamField>
+
+
+# `GladiaTranscriberConfig`
+
+<ParamField body="buffer_size_seconds" type="float">
+  Buffer duration in seconds to accumulate audio before sending to Gladia. Defaults to 0.1s.
+</ParamField>
diff --git a/docs/transcriber.mdx b/docs/open-source/transcriber.mdx
similarity index 100%
rename from docs/transcriber.mdx
rename to docs/open-source/transcriber.mdx
diff --git a/docs/open-source/turn-based-conversation.mdx b/docs/open-source/turn-based-conversation.mdx
new file mode 100644
index 0000000000..d2e6a03e3d
--- /dev/null
+++ b/docs/open-source/turn-based-conversation.mdx
@@ -0,0 +1,80 @@
+---
+title: "Turn-based conversation"
+description: "How to use Vocode in non-streaming applications"
+---
+
+## Overview
+
+A turn-based conversation is a communication system designed for applications where the user utters a single statement, and the agent is expected to respond fully.
+This model differs from streaming conversations that try to mimic natural human discourse. Instead, it fits applications triggered by some kind of user input.
+For example, consider a voice memo application where the user records a message, and the agent generates a complete response.
+
+A turn-based conversation system is perfect for applications that don't require interruptions and have a controlled conversation flow. Each user input is treated as a discrete event,
+giving the system time to generate and deliver a full and meaningful response.
+
+## Turn-based quickstart
+
+The example below demonstrates a turn-based conversation, using a ChatGPT agent for text generation, WhisperTranscriber for speech-to-text,
+and AzureSynthesizer for text-to-speech. User interactions trigger the beginning and end of the recording, signaling the system when to listen and when to respond. You can run it with 
+```
+make turn_based_conversation
+```
+
+*Remember to replace OPENAI_API_KEY and AZURE_SPEECH_KEY with your actual API keys and set the appropriate Azure region. You can also set these variables in a `.env` file and source it in your terminal.
+You can also customize the voice, system prompt, and initial message as needed. The code can be found [here](https://github.com/vocodedev/vocode-python/blob/main/quickstarts/turn_based_conversation.py).*
+
+```python
+class Settings(BaseSettings):
+    """
+    Settings for the turn-based conversation quickstart.
+    These parameters can be configured with environment variables.
+    """
+
+    openai_api_key: str = "ENTER_YOUR_OPENAI_API_KEY_HERE"
+    azure_speech_key: str = "ENTER_YOUR_AZURE_KEY_HERE"
+
+    azure_speech_region: str = "eastus"
+
+    # This means a .env file can be used to overload these settings
+    # ex: "OPENAI_API_KEY=my_key" will set openai_api_key over the default above
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+    )
+
+
+settings = Settings()
+
+if __name__ == "__main__":
+    (
+        microphone_input,
+        speaker_output,
+    ) = create_turn_based_microphone_input_and_speaker_output(
+        use_default_devices=False,
+    )
+
+    conversation = TurnBasedConversation(
+        input_device=microphone_input,
+        output_device=speaker_output,
+        transcriber=WhisperTranscriber(api_key=settings.openai_api_key),
+        agent=ChatGPTAgent(
+            system_prompt="The AI is having a pleasant conversation about life",
+            initial_message="Hello!",
+            api_key=settings.openai_api_key,
+        ),
+        synthesizer=AzureSynthesizer(
+            api_key=settings.azure_speech_key,
+            region=settings.azure_speech_region,
+            voice_name="en-US-SteffanNeural",
+        ),
+    )
+    print("Starting conversation. Press Ctrl+C to exit.")
+    while True:
+        try:
+            input("Press enter to start recording...")
+            conversation.start_speech()
+            input("Press enter to end recording...")
+            conversation.end_speech_and_respond()
+        except KeyboardInterrupt:
+            break
+```
\ No newline at end of file
diff --git a/docs/open-source/using-synthesizers.mdx b/docs/open-source/using-synthesizers.mdx
new file mode 100644
index 0000000000..6bbb57c0b6
--- /dev/null
+++ b/docs/open-source/using-synthesizers.mdx
@@ -0,0 +1,138 @@
+---
+title: "Using synthesizers"
+description: "How to control the voice of your application."
+---
+
+# Overview
+
+Synthesizers are used to convert text into speech; this guide will show you how to configure and use synthesizers in Vocode.
+
+## Supported Synthesizers
+
+Vocode currently supports the following synthesizers:
+
+1. Azure (Microsoft)
+2. Google
+3. Cartesia
+4. Eleven Labs
+5. Rime
+6. Play.ht
+7. GTTS (Google Text-to-Speech)
+8. Stream Elements
+9. Bark
+10. Amazon Polly
+
+These synthesizers are defined using their respective configuration classes, which are subclasses of the `SynthesizerConfig` class.
+
+# Configuring Synthesizers
+
+To use a synthesizer, you need to create a configuration object for the synthesizer you want to use. Here are some examples of how to create configuration objects for different synthesizers:
+
+### Example 1: Using Eleven Labs with a phone call
+
+```python
+from vocode.streaming.telephony.hosted.inbound_call_server import InboundCallServer
+from vocode.streaming.models.synthesizer import ElevenLabsSynthesizerConfig
+
+server = InboundCallServer(
+    ...
+    synthesizer_config=ElevenLabsSynthesizerConfig.from_telephone_output_device(
+        api_key=os.getenv("ELEVENLABS_API_KEY"),
+        voice_id=os.getenv("YOUR VOICE ID")
+    )
+    ...
+)
+```
+
+In this example, the `ElevenLabsSynthesizerConfig.from_telephone_output_device()` method is used to create a configuration object for the Eleven Labs synthesizer.
+The method hardcodes some values like the `sampling_rate` and `audio_encoding` for compatibility with telephone output devices.
+
+#### ElevenLabs Input Streaming
+
+You can try out our experimental implementation of ElevenLabs' [input streaming API](https://elevenlabs.io/docs/api-reference/websockets) by passing in `experimental_websocket=True` into the config and using the `ElevenLabsWSSynthesizer`, like:
+
+```python
+from vocode.streaming.synthesizer.eleven_labs_websocket_synthesizer import ElevenLabsWSSynthesizer
+from vocode.streaming.models.synthesizer import ElevenLabsSynthesizerConfig
+
+...
+synthesizer_config=ElevenLabsSynthesizerConfig.from_telephone_output_device(
+    api_key=os.getenv("ELEVENLABS_API_KEY"),
+    voice_id=os.getenv("YOUR VOICE ID"),
+    experimental_websocket=True
+)
+...
+synthesizer=ElevenLabsWSSynthesizer(ElevenLabsSynthesizerConfig.from_output_device(
+    speaker_output,
+    api_key=os.getenv("ELEVENLABS_API_KEY"),
+    voice_id=os.getenv("YOUR VOICE ID"),
+    experimental_websocket=True
+))
+...
+```
+
+#### Play.ht v2
+
+We now support Play.ht's new [gRPC streaming API](https://docs.play.ht/reference/python-sdk-audio-streaming), which runs much faster than their HTTP API and is designed for realtime communication.
+
+```python
+...
+synthesizer_config=PlayHtSynthesizerConfig.from_telephone_output_device(
+    api_key=os.getenv("PLAY_HT_API_KEY"),
+    user_id=os.getenv("PLAY_HT_USER_ID"),
+)
+...
+```
+
+### Example 2: Using Cartesia's streaming synthesizer
+
+We support Cartesia's [low-latency streaming API](https://docs.cartesia.ai/api-reference/endpoints/stream-speech-websocket) enabled by WebSockets. You can use the `CartesiaSynthesizer` with the `CartesiaSynthesizerConfig` to enable this feature.
+
+#### Telephony
+
+```python
+synthesizer_config=CartesiaSynthesizerConfig.from_telephone_output_device(
+    api_key=os.getenv("CARTESIA_API_KEY"),
+    voice_id=os.getenv("CARTESIA_VOICE_ID"),
+)
+```
+
+In this example, the `CartesiaSynthesizerConfig.from_output_device()` method is used to create a configuration object for the Cartesia synthesizer.
+The method takes a `speaker_output` object as an argument, and extracts the `sampling_rate` and `audio_encoding` from the output device.
+
+#### Controlling Speed & Emotions
+
+You can set the `speed` and `emotion` parameters in the `CartesiaSynthesizerConfig` object to control the speed and emotions of the agent's voice! See [this page](https://docs.cartesia.ai/user-guides/voice-control) for more details.
+
+```python
+CartesiaSynthesizerConfig(
+    api_key=os.getenv("CARTESIA_API_KEY"),
+    voice_id=os.getenv("CARTESIA_VOICE_ID"),
+    experimental_voice_controls={
+        "speed": "slow",
+        "emotion": "positivity: high"
+    }
+)
+```
+
+### Example 3: Using Azure in StreamingConversation locally
+
+```python
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.helpers import create_microphone_input_and_speaker_output
+
+microphone_input, speaker_output = create_microphone_input_and_speaker_output(
+        streaming=True, use_default_devices=False
+)
+
+conversation = StreamingConversation(
+    ...
+    synthesizer=AzureSynthesizer(
+        AzureSynthesizerConfig.from_output_device(speaker_output)
+    ),
+    ...
+)
+```
+
+In this example, the `AzureSynthesizerConfig.from_output_device()` method is used to create a configuration object for the Azure synthesizer.
+The method takes a `speaker_output` object as an argument, and extracts the `sampling_rate` and `audio_encoding` from the output device.
diff --git a/docs/using-transcribers.mdx b/docs/open-source/using-transcribers.mdx
similarity index 76%
rename from docs/using-transcribers.mdx
rename to docs/open-source/using-transcribers.mdx
index 8fdc71f7b2..f4a2724780 100644
--- a/docs/using-transcribers.mdx
+++ b/docs/open-source/using-transcribers.mdx
@@ -33,7 +33,7 @@ from vocode.streaming.models.transcriber import DeepgramTranscriberConfig, Punct
 server = InboundCallServer(
     ...
     transcriber_config=DeepgramTranscriberConfig.from_telephone_input_device(
-      endpointing_config=PunctuationEndpointingConfig()
+      endpointing_config=DeepgramEndpointingConfig()
     ),
     ...
 )
@@ -56,7 +56,7 @@ async def main():
         output_device=speaker_output,
         transcriber=DeepgramTranscriber(
             DeepgramTranscriberConfig.from_input_device(
-                microphone_input, endpointing_config=PunctuationEndpointingConfig()
+                microphone_input, endpointing_config=DeepgramEndpointingConfig()
             )
         ),
         ...
@@ -66,11 +66,4 @@ async def main():
 In this example, the `DeepgramTranscriberConfig.from_input_device()` method is used to create a configuration object for the Deepgram transcriber for use in a local `StreamingConversation`.
 The method takes a `microphone_input` object as an argument and extracts the `sampling_rate`, `audio_encoding`, and `chunk_size` from the input device.
 
-## Endpointing
-
-Endpointing is the process of understanding when someone has finished speaking. The `EndpointingConfig` controls how this is done. There are a couple of different ways to configure endpointing:
-
-- Time-based endpointing: This method considers the speaker to be finished when there is a certain duration of silence.
-- Punctuation-based endpointing: This method considers the speaker to be finished when there is a certain duration of silence after a punctuation mark.
-
-In the first example, the `PunctuationEndpointingConfig` is used to configure the Deepgram transcriber for punctuation-based endpointing.
+See [Conversation Mechanics](/open-source/conversation-mechanics) for more information about endpointing.
diff --git a/docs/what-is-vocode.mdx b/docs/open-source/what-is-vocode.mdx
similarity index 90%
rename from docs/what-is-vocode.mdx
rename to docs/open-source/what-is-vocode.mdx
index 3f6c46be8b..1540138e80 100644
--- a/docs/what-is-vocode.mdx
+++ b/docs/open-source/what-is-vocode.mdx
@@ -1,6 +1,6 @@
 ---
 title: "What is Vocode"
-description: "The one-stop solution for building voice applications with language models"
+description: "The one-stop solution for building voice Agents"
 ---
 
 # 3 core pieces:
diff --git a/docs/openapi.json b/docs/openapi.json
new file mode 100644
index 0000000000..33f19ee87e
--- /dev/null
+++ b/docs/openapi.json
@@ -0,0 +1,5637 @@
+{
+  "openapi": "3.1.0",
+  "info": {
+    "title": "Vocode Hosted API",
+    "description": "\n        Vocode's Hosted API helps you automate phone calls in minutes. 🚀\n\n        ## Numbers\n\n        You can buy phone lines and place agents on them.\n\n        ## Calls\n\n        You can start, end, and get information about calls.\n        ",
+    "termsOfService": "http://example.com/terms/",
+    "contact": { "name": "Support", "email": "support@vocode.dev" },
+    "version": "1.0.0"
+  },
+  "servers": [
+    {
+      "url": "https://api.vocode.dev",
+      "description": "Production environment",
+      "x-fern-server-name": "Production"
+    }
+  ],
+  "paths": {
+    "/v1/numbers/list": {
+      "get": {
+        "tags": ["numbers"],
+        "summary": "List Numbers",
+        "operationId": "list_numbers",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/PhoneNumberPage" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/numbers": {
+      "get": {
+        "tags": ["numbers"],
+        "summary": "Get Number",
+        "operationId": "get_number",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "phone_number",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "title": "Phone Number" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/PhoneNumber" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/numbers/buy": {
+      "post": {
+        "tags": ["numbers"],
+        "summary": "Buy Number",
+        "operationId": "buy_number",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "allOf": [
+                  { "$ref": "#/components/schemas/BuyPhoneNumberRequest" }
+                ],
+                "title": "Request",
+                "default": { "telephony_provider": "vonage" }
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/PhoneNumber" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/numbers/update": {
+      "post": {
+        "tags": ["numbers"],
+        "summary": "Update Number",
+        "operationId": "update_number",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "phone_number",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "title": "Phone Number" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/UpdateNumberRequest" }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/PhoneNumber" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/numbers/cancel": {
+      "post": {
+        "tags": ["numbers"],
+        "summary": "Cancel Number",
+        "operationId": "cancel_number",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "phone_number",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "title": "Phone Number" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/PhoneNumber" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/numbers/link": {
+      "post": {
+        "tags": ["numbers"],
+        "summary": "Link Number",
+        "operationId": "link_number",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/LinkPhoneNumberRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/PhoneNumber" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/calls/list": {
+      "get": {
+        "tags": ["calls"],
+        "summary": "List Calls",
+        "operationId": "list_calls",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/CallPage" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/calls": {
+      "get": {
+        "tags": ["calls"],
+        "summary": "Get Call",
+        "operationId": "get_call",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Call" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/calls/end": {
+      "post": {
+        "tags": ["calls"],
+        "summary": "End Call",
+        "operationId": "end_call",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Call" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/calls/create": {
+      "post": {
+        "tags": ["calls"],
+        "summary": "Create Call",
+        "operationId": "create_call",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/CreateCallRequest" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Call" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/calls/recording": {
+      "get": {
+        "tags": ["calls"],
+        "summary": "Get Recording",
+        "operationId": "get_recording",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "audio/mpeg": {} }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/usage": {
+      "get": {
+        "tags": ["usage"],
+        "summary": "Get Usage",
+        "operationId": "get_usage",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Usage" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/actions": {
+      "get": {
+        "tags": ["actions"],
+        "summary": "Get Action",
+        "operationId": "get_action",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/ActionResponseModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/actions/list": {
+      "get": {
+        "tags": ["actions"],
+        "summary": "List Actions",
+        "operationId": "list_actions",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/ActionPage" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/actions/create": {
+      "post": {
+        "tags": ["actions"],
+        "summary": "Create Action",
+        "operationId": "create_action",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/ActionParamsRequest" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/ActionResponseModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/actions/update": {
+      "post": {
+        "tags": ["actions"],
+        "summary": "Update Action",
+        "operationId": "update_action",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/ActionUpdateParamsRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/ActionResponseModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/agents": {
+      "get": {
+        "tags": ["agents"],
+        "summary": "Get Agent",
+        "operationId": "get_agent",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Agent" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/agents/list": {
+      "get": {
+        "tags": ["agents"],
+        "summary": "List Agents",
+        "operationId": "list_agents",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/AgentPage" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/agents/create": {
+      "post": {
+        "tags": ["agents"],
+        "summary": "Create Agent",
+        "operationId": "create_agent",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/AgentParams" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Agent" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/agents/update": {
+      "post": {
+        "tags": ["agents"],
+        "summary": "Update Agent",
+        "operationId": "update_agent",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/AgentUpdateParams" }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Agent" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/voices": {
+      "get": {
+        "tags": ["voices"],
+        "summary": "Get Voice",
+        "operationId": "get_voice",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/VoiceResponseModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/voices/list": {
+      "get": {
+        "tags": ["voices"],
+        "summary": "List Voices",
+        "operationId": "list_voices",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/VoicePage" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/voices/create": {
+      "post": {
+        "tags": ["voices"],
+        "summary": "Create Voice",
+        "operationId": "create_voice",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/VoiceParamsRequest" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/VoiceResponseModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/voices/update": {
+      "post": {
+        "tags": ["voices"],
+        "summary": "Update Voice",
+        "operationId": "update_voice",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/VoiceUpdateParamsRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/VoiceResponseModel" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/webhooks": {
+      "get": {
+        "tags": ["webhooks"],
+        "summary": "Get Webhook",
+        "operationId": "get_webhook",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Webhook" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/webhooks/list": {
+      "get": {
+        "tags": ["webhooks"],
+        "summary": "List Webhooks",
+        "operationId": "list_webhooks",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/WebhookPage" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/webhooks/create": {
+      "post": {
+        "tags": ["webhooks"],
+        "summary": "Create Webhook",
+        "operationId": "create_webhook",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/WebhookParams" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Webhook" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/webhooks/update": {
+      "post": {
+        "tags": ["webhooks"],
+        "summary": "Update Webhook",
+        "operationId": "update_webhook",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/WebhookUpdateParams" }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Webhook" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/prompts": {
+      "get": {
+        "tags": ["prompts"],
+        "summary": "Get Prompt",
+        "operationId": "get_prompt",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Prompt" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/prompts/list": {
+      "get": {
+        "tags": ["prompts"],
+        "summary": "List Prompts",
+        "operationId": "list_prompts",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/PromptPage" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/prompts/create": {
+      "post": {
+        "tags": ["prompts"],
+        "summary": "Create Prompt",
+        "operationId": "create_prompt",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/PromptParams" }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Prompt" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/prompts/update": {
+      "post": {
+        "tags": ["prompts"],
+        "summary": "Update Prompt",
+        "operationId": "update_prompt",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": { "$ref": "#/components/schemas/PromptUpdateParams" }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/Prompt" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/vector_databases": {
+      "get": {
+        "tags": ["vector_databases"],
+        "summary": "Get Vector Database",
+        "operationId": "get_vector_database",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/PineconeVectorDatabase"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/vector_databases/list": {
+      "get": {
+        "tags": ["vector_databases"],
+        "summary": "List Vector Databases",
+        "operationId": "list_vector_databases",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/VectorDatabasePage" }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/vector_databases/create": {
+      "post": {
+        "tags": ["vector_databases"],
+        "summary": "Create Vector Database",
+        "operationId": "create_vector_database",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/PineconeVectorDatabaseParams"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/PineconeVectorDatabase"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/vector_databases/update": {
+      "post": {
+        "tags": ["vector_databases"],
+        "summary": "Update Vector Database",
+        "operationId": "update_vector_database",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/PineconeVectorDatabaseUpdateParams"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/PineconeVectorDatabase"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/account_connections": {
+      "get": {
+        "tags": ["account_connections"],
+        "summary": "Get Account Connection",
+        "operationId": "get_account_connection",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/AccountConnectionResponseModel"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/account_connections/list": {
+      "get": {
+        "tags": ["account_connections"],
+        "summary": "List Account Connections",
+        "operationId": "list_account_connections",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "page",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 1, "title": "Page" }
+          },
+          {
+            "name": "size",
+            "in": "query",
+            "required": false,
+            "schema": { "type": "integer", "default": 10, "title": "Size" }
+          },
+          {
+            "name": "sort_column",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "string" }, { "type": "null" }],
+              "title": "Sort Column"
+            }
+          },
+          {
+            "name": "sort_desc",
+            "in": "query",
+            "required": false,
+            "schema": {
+              "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+              "default": false,
+              "title": "Sort Desc"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/AccountConnectionPage"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/account_connections/create": {
+      "post": {
+        "tags": ["account_connections"],
+        "summary": "Create Account Connection",
+        "operationId": "create_account_connection",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/AccountConnectionParamsRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/AccountConnectionResponseModel"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        },
+        "security": [{ "HTTPBearer": [] }]
+      }
+    },
+    "/v1/account_connections/update": {
+      "post": {
+        "tags": ["account_connections"],
+        "summary": "Update Account Connection",
+        "operationId": "update_account_connection",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/AccountConnectionUpdateParamsRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/AccountConnectionResponseModel"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/account_connections/add_to_steering_pool": {
+      "post": {
+        "tags": ["account_connections"],
+        "summary": "Add To Steering Pool",
+        "operationId": "add_to_steering_pool",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "anyOf": [
+                  { "$ref": "#/components/schemas/AddToSteeringPoolRequest" },
+                  { "type": "null" }
+                ],
+                "title": "Add To Steering Pool Request"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/account_connections/remove_from_steering_pool": {
+      "post": {
+        "tags": ["account_connections"],
+        "summary": "Remove From Steering Pool",
+        "operationId": "remove_from_steering_pool",
+        "security": [{ "HTTPBearer": [] }],
+        "parameters": [
+          {
+            "name": "id",
+            "in": "query",
+            "required": true,
+            "schema": { "type": "string", "format": "uuid", "title": "Id" }
+          }
+        ],
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/RemoveFromSteeringPoolRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          },
+          "422": {
+            "description": "Validation Error",
+            "content": {
+              "application/json": {
+                "schema": { "$ref": "#/components/schemas/HTTPValidationError" }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/metrics": {
+      "get": {
+        "summary": "Metrics",
+        "description": "Endpoint that serves Prometheus metrics.",
+        "operationId": "metrics_metrics_get",
+        "responses": {
+          "200": {
+            "description": "Successful Response",
+            "content": { "application/json": { "schema": {} } }
+          }
+        }
+      }
+    }
+  },
+  "components": {
+    "schemas": {
+      "AccountConnectionPage": {
+        "properties": {
+          "items": {
+            "items": {
+              "oneOf": [
+                { "$ref": "#/components/schemas/TwilioAccountConnection" },
+                { "$ref": "#/components/schemas/OpenAIAccountConnection" }
+              ],
+              "discriminator": {
+                "propertyName": "type",
+                "mapping": {
+                  "account_connection_openai": "#/components/schemas/OpenAIAccountConnection",
+                  "account_connection_twilio": "#/components/schemas/TwilioAccountConnection"
+                }
+              }
+            },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "AccountConnectionPage"
+      },
+      "AccountConnectionParamsRequest": {
+        "oneOf": [
+          { "$ref": "#/components/schemas/TwilioAccountConnectionParams" },
+          { "$ref": "#/components/schemas/OpenAIAccountConnectionParams" }
+        ],
+        "title": "AccountConnectionParamsRequest",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "account_connection_openai": "#/components/schemas/OpenAIAccountConnectionParams",
+            "account_connection_twilio": "#/components/schemas/TwilioAccountConnectionParams"
+          }
+        }
+      },
+      "AccountConnectionResponseModel": {
+        "oneOf": [
+          { "$ref": "#/components/schemas/TwilioAccountConnection" },
+          { "$ref": "#/components/schemas/OpenAIAccountConnection" }
+        ],
+        "title": "AccountConnectionResponseModel",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "account_connection_openai": "#/components/schemas/OpenAIAccountConnection",
+            "account_connection_twilio": "#/components/schemas/TwilioAccountConnection"
+          }
+        }
+      },
+      "AccountConnectionUpdateParamsRequest": {
+        "oneOf": [
+          {
+            "$ref": "#/components/schemas/TwilioAccountConnectionUpdateParams"
+          },
+          { "$ref": "#/components/schemas/OpenAIAccountConnectionUpdateParams" }
+        ],
+        "title": "AccountConnectionUpdateParamsRequest",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "account_connection_openai": "#/components/schemas/OpenAIAccountConnectionUpdateParams",
+            "account_connection_twilio": "#/components/schemas/TwilioAccountConnectionUpdateParams"
+          }
+        }
+      },
+      "ActionPage": {
+        "properties": {
+          "items": {
+            "items": {
+              "oneOf": [
+                { "$ref": "#/components/schemas/TransferCallAction" },
+                { "$ref": "#/components/schemas/EndConversationAction" },
+                { "$ref": "#/components/schemas/DTMFAction" },
+                { "$ref": "#/components/schemas/AddToConferenceAction" },
+                { "$ref": "#/components/schemas/SetHoldAction" },
+                { "$ref": "#/components/schemas/ExternalAction" }
+              ],
+              "discriminator": {
+                "propertyName": "type",
+                "mapping": {
+                  "action_add_to_conference": "#/components/schemas/AddToConferenceAction",
+                  "action_dtmf": "#/components/schemas/DTMFAction",
+                  "action_end_conversation": "#/components/schemas/EndConversationAction",
+                  "action_external": "#/components/schemas/ExternalAction",
+                  "action_set_hold": "#/components/schemas/SetHoldAction",
+                  "action_transfer_call": "#/components/schemas/TransferCallAction"
+                }
+              }
+            },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "ActionPage"
+      },
+      "ActionParamsRequest": {
+        "oneOf": [
+          { "$ref": "#/components/schemas/TransferCallActionParams" },
+          { "$ref": "#/components/schemas/EndConversationActionParams" },
+          { "$ref": "#/components/schemas/DTMFActionParams" },
+          { "$ref": "#/components/schemas/AddToConferenceActionParams" },
+          { "$ref": "#/components/schemas/SetHoldActionParams" },
+          { "$ref": "#/components/schemas/ExternalActionParams" }
+        ],
+        "title": "ActionParamsRequest",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "action_add_to_conference": "#/components/schemas/AddToConferenceActionParams",
+            "action_dtmf": "#/components/schemas/DTMFActionParams",
+            "action_end_conversation": "#/components/schemas/EndConversationActionParams",
+            "action_external": "#/components/schemas/ExternalActionParams",
+            "action_set_hold": "#/components/schemas/SetHoldActionParams",
+            "action_transfer_call": "#/components/schemas/TransferCallActionParams"
+          }
+        }
+      },
+      "ActionResponseModel": {
+        "oneOf": [
+          { "$ref": "#/components/schemas/TransferCallAction" },
+          { "$ref": "#/components/schemas/EndConversationAction" },
+          { "$ref": "#/components/schemas/DTMFAction" },
+          { "$ref": "#/components/schemas/AddToConferenceAction" },
+          { "$ref": "#/components/schemas/SetHoldAction" },
+          { "$ref": "#/components/schemas/ExternalAction" }
+        ],
+        "title": "ActionResponseModel",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "action_add_to_conference": "#/components/schemas/AddToConferenceAction",
+            "action_dtmf": "#/components/schemas/DTMFAction",
+            "action_end_conversation": "#/components/schemas/EndConversationAction",
+            "action_external": "#/components/schemas/ExternalAction",
+            "action_set_hold": "#/components/schemas/SetHoldAction",
+            "action_transfer_call": "#/components/schemas/TransferCallAction"
+          }
+        }
+      },
+      "ActionUpdateParamsRequest": {
+        "oneOf": [
+          { "$ref": "#/components/schemas/TransferCallActionUpdateParams" },
+          { "$ref": "#/components/schemas/EndConversationActionUpdateParams" },
+          { "$ref": "#/components/schemas/DTMFActionUpdateParams" },
+          { "$ref": "#/components/schemas/AddToConferenceActionUpdateParams" },
+          { "$ref": "#/components/schemas/SetHoldActionUpdateParams" },
+          { "$ref": "#/components/schemas/ExternalActionUpdateParams" }
+        ],
+        "title": "ActionUpdateParamsRequest",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "action_add_to_conference": "#/components/schemas/AddToConferenceActionUpdateParams",
+            "action_dtmf": "#/components/schemas/DTMFActionUpdateParams",
+            "action_end_conversation": "#/components/schemas/EndConversationActionUpdateParams",
+            "action_external": "#/components/schemas/ExternalActionUpdateParams",
+            "action_set_hold": "#/components/schemas/SetHoldActionUpdateParams",
+            "action_transfer_call": "#/components/schemas/TransferCallActionUpdateParams"
+          }
+        }
+      },
+      "AddToConferenceAction": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["action_add_to_conference"],
+            "const": "action_add_to_conference",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/AddToConferenceConfig" },
+          "action_trigger": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/PhraseBasedActionTrigger-Output" }
+            ],
+            "title": "Action Trigger",
+            "default": { "type": "action_trigger_function_call", "config": {} },
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Output"
+              }
+            }
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type", "config"],
+        "title": "AddToConferenceAction"
+      },
+      "AddToConferenceActionParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_add_to_conference"],
+            "const": "action_add_to_conference",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/AddToConferenceConfig" },
+          "action_trigger": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/PhraseBasedActionTrigger-Input" }
+            ],
+            "title": "Action Trigger",
+            "default": { "type": "action_trigger_function_call", "config": {} },
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Input"
+              }
+            }
+          }
+        },
+        "type": "object",
+        "required": ["type", "config"],
+        "title": "AddToConferenceActionParams"
+      },
+      "AddToConferenceActionUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_add_to_conference"],
+            "const": "action_add_to_conference",
+            "title": "Type"
+          },
+          "config": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/AddToConferenceConfig" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Config"
+          },
+          "action_trigger": {
+            "anyOf": [
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+                  {
+                    "$ref": "#/components/schemas/PhraseBasedActionTrigger-Input"
+                  }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                    "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Input"
+                  }
+                }
+              },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Action Trigger",
+            "default": {}
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "AddToConferenceActionUpdateParams"
+      },
+      "AddToConferenceConfig": {
+        "properties": {
+          "phone_number": { "type": "string", "title": "Phone Number" },
+          "place_primary_on_hold": {
+            "type": "boolean",
+            "title": "Place Primary On Hold",
+            "default": true
+          }
+        },
+        "type": "object",
+        "required": ["phone_number"],
+        "title": "AddToConferenceConfig"
+      },
+      "AddToSteeringPoolRequest": {
+        "properties": {
+          "phone_number": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Phone Number"
+          }
+        },
+        "type": "object",
+        "title": "AddToSteeringPoolRequest"
+      },
+      "Agent": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "name": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Name"
+          },
+          "prompt": { "$ref": "#/components/schemas/Prompt" },
+          "language": {
+            "allOf": [{ "$ref": "#/components/schemas/Language" }],
+            "default": "en"
+          },
+          "actions": {
+            "items": {
+              "oneOf": [
+                { "$ref": "#/components/schemas/TransferCallAction" },
+                { "$ref": "#/components/schemas/EndConversationAction" },
+                { "$ref": "#/components/schemas/DTMFAction" },
+                { "$ref": "#/components/schemas/AddToConferenceAction" },
+                { "$ref": "#/components/schemas/SetHoldAction" },
+                { "$ref": "#/components/schemas/ExternalAction" }
+              ],
+              "discriminator": {
+                "propertyName": "type",
+                "mapping": {
+                  "action_add_to_conference": "#/components/schemas/AddToConferenceAction",
+                  "action_dtmf": "#/components/schemas/DTMFAction",
+                  "action_end_conversation": "#/components/schemas/EndConversationAction",
+                  "action_external": "#/components/schemas/ExternalAction",
+                  "action_set_hold": "#/components/schemas/SetHoldAction",
+                  "action_transfer_call": "#/components/schemas/TransferCallAction"
+                }
+              }
+            },
+            "type": "array",
+            "title": "Actions"
+          },
+          "voice": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/AzureVoice" },
+              { "$ref": "#/components/schemas/RimeVoice" },
+              { "$ref": "#/components/schemas/ElevenLabsVoice" },
+              { "$ref": "#/components/schemas/PlayHtVoice" },
+              { "$ref": "#/components/schemas/VocodeVoice" }
+            ],
+            "title": "Voice",
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "voice_azure": "#/components/schemas/AzureVoice",
+                "voice_eleven_labs": "#/components/schemas/ElevenLabsVoice",
+                "voice_play_ht": "#/components/schemas/PlayHtVoice",
+                "voice_rime": "#/components/schemas/RimeVoice",
+                "voice_vocode": "#/components/schemas/VocodeVoice"
+              }
+            }
+          },
+          "initial_message": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Initial Message"
+          },
+          "webhook": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/Webhook" },
+              { "type": "null" }
+            ]
+          },
+          "vector_database": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/PineconeVectorDatabase" },
+              { "type": "null" }
+            ]
+          },
+          "interrupt_sensitivity": {
+            "allOf": [{ "$ref": "#/components/schemas/InterruptSensitivity" }],
+            "default": "low"
+          },
+          "context_endpoint": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Context Endpoint"
+          },
+          "noise_suppression": {
+            "type": "boolean",
+            "title": "Noise Suppression",
+            "default": false
+          },
+          "endpointing_sensitivity": {
+            "type": "string",
+            "enum": ["auto", "relaxed", "sensitive"],
+            "title": "Endpointing Sensitivity",
+            "default": "auto"
+          },
+          "ivr_navigation_mode": {
+            "type": "string",
+            "enum": ["default", "off"],
+            "title": "Ivr Navigation Mode",
+            "default": "off"
+          },
+          "conversation_speed": {
+            "type": "number",
+            "title": "Conversation Speed",
+            "default": 1.0
+          },
+          "initial_message_delay": {
+            "type": "number",
+            "title": "Initial Message Delay",
+            "default": 0.0
+          },
+          "openai_model_name_override": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Openai Model Name Override"
+          },
+          "ask_if_human_present_on_idle": {
+            "type": "boolean",
+            "title": "Ask If Human Present On Idle",
+            "default": false
+          },
+          "openai_account_connection": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/OpenAIAccountConnection" },
+              { "type": "null" }
+            ]
+          },
+          "run_do_not_call_detection": {
+            "type": "boolean",
+            "title": "Run Do Not Call Detection",
+            "default": false
+          },
+          "llm_fallback": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/InternalLLMFallback" },
+              { "type": "null" }
+            ]
+          },
+          "deepgram_keywords": {
+            "anyOf": [
+              {
+                "additionalProperties": {
+                  "anyOf": [{ "type": "integer" }, { "type": "number" }]
+                },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Deepgram Keywords"
+          },
+          "idle_time_seconds": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Idle Time Seconds"
+          },
+          "llm_temperature": {
+            "type": "number",
+            "title": "Llm Temperature",
+            "default": 0.0
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "prompt", "actions", "voice"],
+        "title": "Agent"
+      },
+      "AgentPage": {
+        "properties": {
+          "items": {
+            "items": { "$ref": "#/components/schemas/NormalizedAgent" },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "AgentPage"
+      },
+      "AgentParams": {
+        "properties": {
+          "name": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Name"
+          },
+          "prompt": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PromptParams" }
+            ],
+            "title": "Prompt"
+          },
+          "language": {
+            "allOf": [{ "$ref": "#/components/schemas/Language" }],
+            "default": "en"
+          },
+          "actions": {
+            "items": {
+              "anyOf": [
+                { "type": "string", "format": "uuid" },
+                {
+                  "oneOf": [
+                    { "$ref": "#/components/schemas/TransferCallActionParams" },
+                    {
+                      "$ref": "#/components/schemas/EndConversationActionParams"
+                    },
+                    { "$ref": "#/components/schemas/DTMFActionParams" },
+                    {
+                      "$ref": "#/components/schemas/AddToConferenceActionParams"
+                    },
+                    { "$ref": "#/components/schemas/SetHoldActionParams" },
+                    { "$ref": "#/components/schemas/ExternalActionParams" }
+                  ],
+                  "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                      "action_add_to_conference": "#/components/schemas/AddToConferenceActionParams",
+                      "action_dtmf": "#/components/schemas/DTMFActionParams",
+                      "action_end_conversation": "#/components/schemas/EndConversationActionParams",
+                      "action_external": "#/components/schemas/ExternalActionParams",
+                      "action_set_hold": "#/components/schemas/SetHoldActionParams",
+                      "action_transfer_call": "#/components/schemas/TransferCallActionParams"
+                    }
+                  }
+                }
+              ]
+            },
+            "type": "array",
+            "title": "Actions",
+            "default": []
+          },
+          "voice": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/AzureVoiceParams" },
+                  { "$ref": "#/components/schemas/RimeVoiceParams" },
+                  { "$ref": "#/components/schemas/ElevenLabsVoiceParams" },
+                  { "$ref": "#/components/schemas/PlayHtVoiceParams" },
+                  { "$ref": "#/components/schemas/VocodeVoiceParams" }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "voice_azure": "#/components/schemas/AzureVoiceParams",
+                    "voice_eleven_labs": "#/components/schemas/ElevenLabsVoiceParams",
+                    "voice_play_ht": "#/components/schemas/PlayHtVoiceParams",
+                    "voice_rime": "#/components/schemas/RimeVoiceParams",
+                    "voice_vocode": "#/components/schemas/VocodeVoiceParams"
+                  }
+                }
+              }
+            ],
+            "title": "Voice"
+          },
+          "initial_message": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Initial Message"
+          },
+          "webhook": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/WebhookParams" },
+              { "type": "null" }
+            ],
+            "title": "Webhook"
+          },
+          "vector_database": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PineconeVectorDatabaseParams" },
+              { "type": "null" }
+            ],
+            "title": "Vector Database"
+          },
+          "interrupt_sensitivity": {
+            "allOf": [{ "$ref": "#/components/schemas/InterruptSensitivity" }],
+            "default": "low"
+          },
+          "context_endpoint": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Context Endpoint"
+          },
+          "noise_suppression": {
+            "type": "boolean",
+            "title": "Noise Suppression",
+            "default": false
+          },
+          "endpointing_sensitivity": {
+            "type": "string",
+            "enum": ["auto", "relaxed", "sensitive"],
+            "title": "Endpointing Sensitivity",
+            "default": "auto"
+          },
+          "ivr_navigation_mode": {
+            "type": "string",
+            "enum": ["default", "off"],
+            "title": "Ivr Navigation Mode",
+            "default": "off"
+          },
+          "conversation_speed": {
+            "type": "number",
+            "title": "Conversation Speed",
+            "default": 1.0
+          },
+          "initial_message_delay": {
+            "type": "number",
+            "title": "Initial Message Delay",
+            "default": 0.0
+          },
+          "openai_model_name_override": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Openai Model Name Override"
+          },
+          "ask_if_human_present_on_idle": {
+            "type": "boolean",
+            "title": "Ask If Human Present On Idle",
+            "default": false
+          },
+          "openai_account_connection": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/OpenAIAccountConnection" },
+              { "type": "string", "format": "uuid" },
+              { "type": "null" }
+            ],
+            "title": "Openai Account Connection"
+          },
+          "run_do_not_call_detection": {
+            "type": "boolean",
+            "title": "Run Do Not Call Detection",
+            "default": false
+          },
+          "llm_fallback": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/InternalLLMFallback" },
+              { "type": "null" }
+            ]
+          },
+          "deepgram_keywords": {
+            "anyOf": [
+              {
+                "additionalProperties": {
+                  "anyOf": [{ "type": "integer" }, { "type": "number" }]
+                },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Deepgram Keywords"
+          },
+          "idle_time_seconds": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Idle Time Seconds"
+          },
+          "llm_temperature": {
+            "type": "number",
+            "title": "Llm Temperature",
+            "default": 0.0
+          }
+        },
+        "type": "object",
+        "required": ["prompt", "voice"],
+        "title": "AgentParams"
+      },
+      "AgentUpdateParams": {
+        "properties": {
+          "name": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Name"
+          },
+          "prompt": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PromptUpdateParams" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Prompt"
+          },
+          "language": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/Language" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Language"
+          },
+          "actions": {
+            "anyOf": [
+              {
+                "items": {
+                  "anyOf": [
+                    { "type": "string", "format": "uuid" },
+                    {
+                      "oneOf": [
+                        {
+                          "$ref": "#/components/schemas/TransferCallActionUpdateParams"
+                        },
+                        {
+                          "$ref": "#/components/schemas/EndConversationActionUpdateParams"
+                        },
+                        {
+                          "$ref": "#/components/schemas/DTMFActionUpdateParams"
+                        },
+                        {
+                          "$ref": "#/components/schemas/AddToConferenceActionUpdateParams"
+                        },
+                        {
+                          "$ref": "#/components/schemas/SetHoldActionUpdateParams"
+                        },
+                        {
+                          "$ref": "#/components/schemas/ExternalActionUpdateParams"
+                        }
+                      ],
+                      "discriminator": {
+                        "propertyName": "type",
+                        "mapping": {
+                          "action_add_to_conference": "#/components/schemas/AddToConferenceActionUpdateParams",
+                          "action_dtmf": "#/components/schemas/DTMFActionUpdateParams",
+                          "action_end_conversation": "#/components/schemas/EndConversationActionUpdateParams",
+                          "action_external": "#/components/schemas/ExternalActionUpdateParams",
+                          "action_set_hold": "#/components/schemas/SetHoldActionUpdateParams",
+                          "action_transfer_call": "#/components/schemas/TransferCallActionUpdateParams"
+                        }
+                      }
+                    }
+                  ]
+                },
+                "type": "array"
+              },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Actions"
+          },
+          "voice": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/AzureVoiceUpdateParams" },
+                  { "$ref": "#/components/schemas/RimeVoiceUpdateParams" },
+                  {
+                    "$ref": "#/components/schemas/ElevenLabsVoiceUpdateParams"
+                  },
+                  { "$ref": "#/components/schemas/PlayHtVoiceUpdateParams" },
+                  { "$ref": "#/components/schemas/VocodeVoiceUpdateParams" }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "voice_azure": "#/components/schemas/AzureVoiceUpdateParams",
+                    "voice_eleven_labs": "#/components/schemas/ElevenLabsVoiceUpdateParams",
+                    "voice_play_ht": "#/components/schemas/PlayHtVoiceUpdateParams",
+                    "voice_rime": "#/components/schemas/RimeVoiceUpdateParams",
+                    "voice_vocode": "#/components/schemas/VocodeVoiceUpdateParams"
+                  }
+                }
+              },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Voice"
+          },
+          "initial_message": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Initial Message"
+          },
+          "webhook": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/WebhookUpdateParams" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Webhook"
+          },
+          "vector_database": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              {
+                "$ref": "#/components/schemas/PineconeVectorDatabaseUpdateParams"
+              },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Vector Database"
+          },
+          "interrupt_sensitivity": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/InterruptSensitivity" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Interrupt Sensitivity"
+          },
+          "context_endpoint": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Context Endpoint"
+          },
+          "noise_suppression": {
+            "anyOf": [
+              { "type": "boolean" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Noise Suppression"
+          },
+          "endpointing_sensitivity": {
+            "anyOf": [
+              { "type": "string", "enum": ["auto", "relaxed", "sensitive"] },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Endpointing Sensitivity"
+          },
+          "ivr_navigation_mode": {
+            "anyOf": [
+              { "type": "string", "enum": ["default", "off"] },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Ivr Navigation Mode"
+          },
+          "conversation_speed": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Conversation Speed"
+          },
+          "initial_message_delay": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Initial Message Delay"
+          },
+          "openai_model_name_override": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Openai Model Name Override"
+          },
+          "ask_if_human_present_on_idle": {
+            "anyOf": [
+              { "type": "boolean" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Ask If Human Present On Idle"
+          },
+          "openai_account_connection": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/OpenAIAccountConnection" },
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Openai Account Connection"
+          },
+          "run_do_not_call_detection": {
+            "anyOf": [
+              { "type": "boolean" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Run Do Not Call Detection"
+          },
+          "llm_fallback": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/InternalLLMFallback" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Llm Fallback"
+          },
+          "deepgram_keywords": {
+            "anyOf": [
+              {
+                "additionalProperties": {
+                  "anyOf": [{ "type": "integer" }, { "type": "number" }]
+                },
+                "type": "object"
+              },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Deepgram Keywords"
+          },
+          "idle_time_seconds": {
+            "anyOf": [
+              { "type": "integer" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Idle Time Seconds"
+          }
+        },
+        "type": "object",
+        "title": "AgentUpdateParams"
+      },
+      "AzureVoice": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["voice_azure"],
+            "const": "voice_azure",
+            "title": "Type"
+          },
+          "voice_name": { "type": "string", "title": "Voice Name" },
+          "pitch": { "type": "integer", "title": "Pitch", "default": 0 },
+          "rate": { "type": "integer", "title": "Rate", "default": 15 }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type", "voice_name"],
+        "title": "AzureVoice"
+      },
+      "AzureVoiceParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_azure"],
+            "const": "voice_azure",
+            "title": "Type"
+          },
+          "voice_name": { "type": "string", "title": "Voice Name" },
+          "pitch": { "type": "integer", "title": "Pitch", "default": 0 },
+          "rate": { "type": "integer", "title": "Rate", "default": 15 }
+        },
+        "type": "object",
+        "required": ["type", "voice_name"],
+        "title": "AzureVoiceParams"
+      },
+      "AzureVoiceUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_azure"],
+            "const": "voice_azure",
+            "title": "Type"
+          },
+          "voice_name": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Voice Name"
+          },
+          "pitch": {
+            "anyOf": [
+              { "type": "integer" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Pitch"
+          },
+          "rate": {
+            "anyOf": [
+              { "type": "integer" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Rate"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "AzureVoiceUpdateParams"
+      },
+      "BuyPhoneNumberRequest": {
+        "properties": {
+          "area_code": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Area Code"
+          },
+          "telephony_provider": {
+            "type": "string",
+            "enum": ["vonage", "twilio"],
+            "title": "Telephony Provider",
+            "default": "vonage"
+          },
+          "telephony_account_connection": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "type": "null" }
+            ],
+            "title": "Telephony Account Connection"
+          },
+          "inbound_agent": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/AgentParams" },
+              { "type": "string", "format": "uuid" },
+              { "type": "string", "enum": ["default"], "const": "default" },
+              { "type": "null" }
+            ],
+            "title": "Inbound Agent"
+          }
+        },
+        "type": "object",
+        "title": "BuyPhoneNumberRequest"
+      },
+      "Call": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "status": {
+            "allOf": [{ "$ref": "#/components/schemas/CallStatus" }],
+            "default": "not_started"
+          },
+          "error_message": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Error Message"
+          },
+          "recording_available": {
+            "type": "boolean",
+            "title": "Recording Available",
+            "default": false
+          },
+          "transcript": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Transcript"
+          },
+          "human_detection_result": {
+            "anyOf": [
+              { "type": "string", "enum": ["human", "no_human"] },
+              { "type": "null" }
+            ],
+            "title": "Human Detection Result"
+          },
+          "do_not_call_result": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Do Not Call Result"
+          },
+          "telephony_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Telephony Id"
+          },
+          "stage": {
+            "anyOf": [
+              {
+                "type": "string",
+                "enum": [
+                  "created",
+                  "picked_up",
+                  "transfer_started",
+                  "transfer_successful"
+                ]
+              },
+              { "type": "null" }
+            ],
+            "title": "Stage"
+          },
+          "stage_outcome": {
+            "anyOf": [
+              {
+                "type": "string",
+                "enum": [
+                  "human_unanswered",
+                  "call_did_not_connect",
+                  "human_disconnected",
+                  "bot_disconnected",
+                  "transfer_unanswered",
+                  "transfer_disconnected"
+                ]
+              },
+              { "type": "null" }
+            ],
+            "title": "Stage Outcome"
+          },
+          "telephony_metadata": {
+            "anyOf": [
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/VonageTelephonyMetadata" },
+                  { "$ref": "#/components/schemas/TwilioTelephonyMetadata" }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "telephony_metadata_twilio": "#/components/schemas/TwilioTelephonyMetadata",
+                    "telephony_metadata_vonage": "#/components/schemas/VonageTelephonyMetadata"
+                  }
+                }
+              },
+              { "type": "null" }
+            ],
+            "title": "Telephony Metadata"
+          },
+          "start_time": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Start Time"
+          },
+          "end_time": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "End Time"
+          },
+          "to_number": { "type": "string", "title": "To Number" },
+          "from_number": { "type": "string", "title": "From Number" },
+          "agent": { "$ref": "#/components/schemas/Agent" },
+          "telephony_provider": {
+            "type": "string",
+            "enum": ["vonage", "twilio"],
+            "title": "Telephony Provider"
+          },
+          "agent_phone_number": {
+            "type": "string",
+            "title": "Agent Phone Number"
+          },
+          "hipaa_compliant": {
+            "type": "boolean",
+            "title": "Hipaa Compliant",
+            "default": false
+          },
+          "on_no_human_answer": {
+            "anyOf": [
+              { "type": "string", "enum": ["continue", "hangup"] },
+              { "type": "null" }
+            ],
+            "title": "On No Human Answer"
+          },
+          "context": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Context"
+          },
+          "run_do_not_call_detection": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Run Do Not Call Detection"
+          },
+          "telephony_account_connection": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/TwilioAccountConnection" },
+              { "type": "null" }
+            ]
+          },
+          "telephony_params": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Telephony Params"
+          }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "user_id",
+          "to_number",
+          "from_number",
+          "agent",
+          "telephony_provider",
+          "agent_phone_number"
+        ],
+        "title": "Call"
+      },
+      "CallPage": {
+        "properties": {
+          "items": {
+            "items": { "$ref": "#/components/schemas/NormalizedCall" },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "CallPage"
+      },
+      "CallStatus": {
+        "type": "string",
+        "enum": ["not_started", "in_progress", "error", "ended"],
+        "title": "CallStatus"
+      },
+      "CollectField": {
+        "properties": {
+          "field_type": {
+            "type": "string",
+            "enum": ["field_type_email"],
+            "const": "field_type_email",
+            "title": "Field Type"
+          },
+          "label": { "type": "string", "title": "Label" },
+          "name": { "type": "string", "title": "Name" },
+          "description": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Description"
+          }
+        },
+        "type": "object",
+        "required": ["field_type", "label", "name"],
+        "title": "CollectField"
+      },
+      "CreateCallAgentParams": {
+        "properties": {
+          "name": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Name"
+          },
+          "prompt": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PromptParams" }
+            ],
+            "title": "Prompt"
+          },
+          "language": {
+            "allOf": [{ "$ref": "#/components/schemas/Language" }],
+            "default": "en"
+          },
+          "actions": {
+            "items": {
+              "anyOf": [
+                { "type": "string", "format": "uuid" },
+                {
+                  "oneOf": [
+                    { "$ref": "#/components/schemas/TransferCallActionParams" },
+                    {
+                      "$ref": "#/components/schemas/EndConversationActionParams"
+                    },
+                    { "$ref": "#/components/schemas/DTMFActionParams" },
+                    {
+                      "$ref": "#/components/schemas/AddToConferenceActionParams"
+                    },
+                    { "$ref": "#/components/schemas/SetHoldActionParams" },
+                    { "$ref": "#/components/schemas/ExternalActionParams" }
+                  ],
+                  "discriminator": {
+                    "propertyName": "type",
+                    "mapping": {
+                      "action_add_to_conference": "#/components/schemas/AddToConferenceActionParams",
+                      "action_dtmf": "#/components/schemas/DTMFActionParams",
+                      "action_end_conversation": "#/components/schemas/EndConversationActionParams",
+                      "action_external": "#/components/schemas/ExternalActionParams",
+                      "action_set_hold": "#/components/schemas/SetHoldActionParams",
+                      "action_transfer_call": "#/components/schemas/TransferCallActionParams"
+                    }
+                  }
+                }
+              ]
+            },
+            "type": "array",
+            "title": "Actions",
+            "default": []
+          },
+          "voice": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/AzureVoiceParams" },
+                  { "$ref": "#/components/schemas/RimeVoiceParams" },
+                  { "$ref": "#/components/schemas/ElevenLabsVoiceParams" },
+                  { "$ref": "#/components/schemas/PlayHtVoiceParams" },
+                  { "$ref": "#/components/schemas/VocodeVoiceParams" }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "voice_azure": "#/components/schemas/AzureVoiceParams",
+                    "voice_eleven_labs": "#/components/schemas/ElevenLabsVoiceParams",
+                    "voice_play_ht": "#/components/schemas/PlayHtVoiceParams",
+                    "voice_rime": "#/components/schemas/RimeVoiceParams",
+                    "voice_vocode": "#/components/schemas/VocodeVoiceParams"
+                  }
+                }
+              }
+            ],
+            "title": "Voice"
+          },
+          "initial_message": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Initial Message"
+          },
+          "webhook": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/WebhookParams" },
+              { "type": "null" }
+            ],
+            "title": "Webhook"
+          },
+          "vector_database": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PineconeVectorDatabaseParams" },
+              { "type": "null" }
+            ],
+            "title": "Vector Database"
+          },
+          "interrupt_sensitivity": {
+            "allOf": [{ "$ref": "#/components/schemas/InterruptSensitivity" }],
+            "default": "low"
+          },
+          "context_endpoint": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Context Endpoint"
+          },
+          "noise_suppression": {
+            "type": "boolean",
+            "title": "Noise Suppression",
+            "default": false
+          },
+          "endpointing_sensitivity": {
+            "type": "string",
+            "enum": ["auto", "relaxed", "sensitive"],
+            "title": "Endpointing Sensitivity",
+            "default": "auto"
+          },
+          "ivr_navigation_mode": {
+            "type": "string",
+            "enum": ["default", "off"],
+            "title": "Ivr Navigation Mode",
+            "default": "off"
+          },
+          "conversation_speed": {
+            "type": "number",
+            "title": "Conversation Speed",
+            "default": 1.0
+          },
+          "initial_message_delay": {
+            "type": "number",
+            "title": "Initial Message Delay",
+            "default": 0.0
+          },
+          "openai_model_name_override": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Openai Model Name Override"
+          },
+          "ask_if_human_present_on_idle": {
+            "type": "boolean",
+            "title": "Ask If Human Present On Idle",
+            "default": false
+          },
+          "openai_account_connection": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/OpenAIAccountConnection" },
+              { "type": "string", "format": "uuid" },
+              { "type": "null" }
+            ],
+            "title": "Openai Account Connection"
+          },
+          "run_do_not_call_detection": {
+            "type": "boolean",
+            "title": "Run Do Not Call Detection",
+            "default": false
+          },
+          "llm_fallback": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/InternalLLMFallback" },
+              { "type": "null" }
+            ]
+          },
+          "deepgram_keywords": {
+            "anyOf": [
+              {
+                "additionalProperties": {
+                  "anyOf": [{ "type": "integer" }, { "type": "number" }]
+                },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Deepgram Keywords"
+          },
+          "idle_time_seconds": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Idle Time Seconds"
+          },
+          "llm_temperature": {
+            "type": "number",
+            "title": "Llm Temperature",
+            "default": 0.0
+          }
+        },
+        "type": "object",
+        "required": ["prompt"],
+        "title": "CreateCallAgentParams"
+      },
+      "CreateCallRequest": {
+        "properties": {
+          "from_number": { "type": "string", "title": "From Number" },
+          "to_number": { "type": "string", "title": "To Number" },
+          "agent": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/CreateCallAgentParams" }
+            ],
+            "title": "Agent"
+          },
+          "on_no_human_answer": {
+            "type": "string",
+            "enum": ["continue", "hangup"],
+            "title": "On No Human Answer",
+            "default": "continue"
+          },
+          "run_do_not_call_detection": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Run Do Not Call Detection"
+          },
+          "hipaa_compliant": {
+            "type": "boolean",
+            "title": "Hipaa Compliant",
+            "default": false
+          },
+          "context": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Context"
+          },
+          "telephony_params": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Telephony Params"
+          }
+        },
+        "type": "object",
+        "required": ["from_number", "to_number", "agent"],
+        "title": "CreateCallRequest"
+      },
+      "DTMFAction": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["action_dtmf"],
+            "const": "action_dtmf",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/EmptyActionConfig" },
+          "action_trigger": {
+            "allOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" }
+            ],
+            "default": { "type": "action_trigger_function_call", "config": {} }
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type"],
+        "title": "DTMFAction"
+      },
+      "DTMFActionParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_dtmf"],
+            "const": "action_dtmf",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/EmptyActionConfig" },
+          "action_trigger": {
+            "allOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" }
+            ],
+            "default": { "type": "action_trigger_function_call", "config": {} }
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "DTMFActionParams"
+      },
+      "DTMFActionUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_dtmf"],
+            "const": "action_dtmf",
+            "title": "Type"
+          },
+          "config": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/EmptyActionConfig" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Config"
+          },
+          "action_trigger": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Action Trigger",
+            "default": {}
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "DTMFActionUpdateParams"
+      },
+      "ElevenLabsVoice": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["voice_eleven_labs"],
+            "const": "voice_eleven_labs",
+            "title": "Type"
+          },
+          "voice_id": { "type": "string", "title": "Voice Id" },
+          "stability": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Stability"
+          },
+          "similarity_boost": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Similarity Boost"
+          },
+          "api_key": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Api Key"
+          },
+          "optimize_streaming_latency": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Optimize Streaming Latency"
+          },
+          "model_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Model Id"
+          },
+          "experimental_input_streaming": {
+            "type": "boolean",
+            "title": "Experimental Input Streaming",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type", "voice_id"],
+        "title": "ElevenLabsVoice"
+      },
+      "ElevenLabsVoiceParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_eleven_labs"],
+            "const": "voice_eleven_labs",
+            "title": "Type"
+          },
+          "voice_id": { "type": "string", "title": "Voice Id" },
+          "stability": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Stability"
+          },
+          "similarity_boost": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Similarity Boost"
+          },
+          "api_key": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Api Key"
+          },
+          "optimize_streaming_latency": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Optimize Streaming Latency"
+          },
+          "model_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Model Id"
+          },
+          "experimental_input_streaming": {
+            "type": "boolean",
+            "title": "Experimental Input Streaming",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": ["type", "voice_id"],
+        "title": "ElevenLabsVoiceParams"
+      },
+      "ElevenLabsVoiceUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_eleven_labs"],
+            "const": "voice_eleven_labs",
+            "title": "Type"
+          },
+          "voice_id": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Voice Id"
+          },
+          "stability": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Stability"
+          },
+          "similarity_boost": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Similarity Boost"
+          },
+          "api_key": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Api Key"
+          },
+          "optimize_streaming_latency": {
+            "anyOf": [
+              { "type": "integer" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Optimize Streaming Latency"
+          },
+          "model_id": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Model Id"
+          },
+          "experimental_input_streaming": {
+            "anyOf": [
+              { "type": "boolean" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Experimental Input Streaming"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "ElevenLabsVoiceUpdateParams"
+      },
+      "EmptyActionConfig": {
+        "properties": {},
+        "type": "object",
+        "title": "EmptyActionConfig"
+      },
+      "EndConversationAction": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["action_end_conversation"],
+            "const": "action_end_conversation",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/EmptyActionConfig" },
+          "action_trigger": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/PhraseBasedActionTrigger-Output" }
+            ],
+            "title": "Action Trigger",
+            "default": { "type": "action_trigger_function_call", "config": {} },
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Output"
+              }
+            }
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type"],
+        "title": "EndConversationAction"
+      },
+      "EndConversationActionParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_end_conversation"],
+            "const": "action_end_conversation",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/EmptyActionConfig" },
+          "action_trigger": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/PhraseBasedActionTrigger-Input" }
+            ],
+            "title": "Action Trigger",
+            "default": { "type": "action_trigger_function_call", "config": {} },
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Input"
+              }
+            }
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "EndConversationActionParams"
+      },
+      "EndConversationActionUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_end_conversation"],
+            "const": "action_end_conversation",
+            "title": "Type"
+          },
+          "config": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/EmptyActionConfig" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Config"
+          },
+          "action_trigger": {
+            "anyOf": [
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+                  {
+                    "$ref": "#/components/schemas/PhraseBasedActionTrigger-Input"
+                  }
+                ],
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+                  "propertyName": "type",
+                  "mapping": {
+                    "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                    "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Input"
+                  }
+                }
+              },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Action Trigger",
+            "default": {}
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "EndConversationActionUpdateParams"
+      },
+      "EventType": {
+        "type": "string",
+        "enum": [
+          "event_message",
+          "event_action",
+          "event_phone_call_connected",
+          "event_phone_call_ended",
+          "event_phone_call_did_not_connect",
+          "event_transcript",
+          "event_recording",
+          "event_human_detection"
+        ],
+        "title": "EventType"
+      },
+      "ExternalAction": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["action_external"],
+            "const": "action_external",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/ExternalActionConfig" },
+          "action_trigger": {
+            "allOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" }
+            ],
+            "default": { "type": "action_trigger_function_call", "config": {} }
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type", "config"],
+        "title": "ExternalAction"
+      },
+      "ExternalActionConfig": {
+        "properties": {
+          "processing_mode": {
+            "type": "string",
+            "enum": ["muted"],
+            "const": "muted",
+            "title": "Processing Mode",
+            "default": "muted"
+          },
+          "name": { "type": "string", "title": "Name" },
+          "description": { "type": "string", "title": "Description" },
+          "url": { "type": "string", "title": "Url" },
+          "input_schema": { "type": "object", "title": "Input Schema" },
+          "speak_on_send": { "type": "boolean", "title": "Speak On Send" },
+          "speak_on_receive": {
+            "type": "boolean",
+            "title": "Speak On Receive"
+          },
+          "signature_secret": { "type": "string", "title": "Signature Secret" }
+        },
+        "type": "object",
+        "required": [
+          "name",
+          "description",
+          "url",
+          "input_schema",
+          "speak_on_send",
+          "speak_on_receive"
+        ],
+        "title": "ExternalActionConfig"
+      },
+      "ExternalActionParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_external"],
+            "const": "action_external",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/ExternalActionConfig" },
+          "action_trigger": {
+            "allOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" }
+            ],
+            "default": { "type": "action_trigger_function_call", "config": {} }
+          }
+        },
+        "type": "object",
+        "required": ["type", "config"],
+        "title": "ExternalActionParams"
+      },
+      "ExternalActionUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_external"],
+            "const": "action_external",
+            "title": "Type"
+          },
+          "config": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/ExternalActionConfig" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Config"
+          },
+          "action_trigger": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Action Trigger",
+            "default": {}
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "ExternalActionUpdateParams"
+      },
+      "FunctionCallActionTrigger": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_trigger_function_call"],
+            "const": "action_trigger_function_call",
+            "title": "Type"
+          },
+          "config": {
+            "$ref": "#/components/schemas/FunctionCallActionTriggerConfig"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "FunctionCallActionTrigger"
+      },
+      "FunctionCallActionTriggerConfig": {
+        "properties": {},
+        "type": "object",
+        "title": "FunctionCallActionTriggerConfig"
+      },
+      "HTTPMethod": {
+        "type": "string",
+        "enum": ["GET", "POST"],
+        "title": "HTTPMethod"
+      },
+      "HTTPValidationError": {
+        "properties": {
+          "detail": {
+            "items": { "$ref": "#/components/schemas/ValidationError" },
+            "type": "array",
+            "title": "Detail"
+          }
+        },
+        "type": "object",
+        "title": "HTTPValidationError"
+      },
+      "InternalLLMFallback": {
+        "properties": {
+          "provider": {
+            "type": "string",
+            "enum": ["openai", "azure"],
+            "title": "Provider"
+          },
+          "model_name": { "type": "string", "title": "Model Name" }
+        },
+        "type": "object",
+        "required": ["provider", "model_name"],
+        "title": "InternalLLMFallback"
+      },
+      "InterruptSensitivity": {
+        "type": "string",
+        "enum": ["low", "high"],
+        "title": "InterruptSensitivity"
+      },
+      "Language": {
+        "type": "string",
+        "enum": [
+          "en",
+          "es",
+          "de",
+          "hi",
+          "pt",
+          "fr",
+          "nl",
+          "id",
+          "it",
+          "ja",
+          "ko"
+        ],
+        "title": "Language"
+      },
+      "LinkPhoneNumberRequest": {
+        "properties": {
+          "phone_number": { "type": "string", "title": "Phone Number" },
+          "telephony_account_connection": {
+            "type": "string",
+            "format": "uuid",
+            "title": "Telephony Account Connection"
+          },
+          "outbound_only": {
+            "type": "boolean",
+            "title": "Outbound Only",
+            "default": false
+          },
+          "inbound_agent": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/AgentParams" },
+              { "type": "string", "format": "uuid" },
+              { "type": "string", "enum": ["default"], "const": "default" },
+              { "type": "null" }
+            ],
+            "title": "Inbound Agent"
+          }
+        },
+        "type": "object",
+        "required": ["phone_number", "telephony_account_connection"],
+        "title": "LinkPhoneNumberRequest"
+      },
+      "NormalizedAgent": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "name": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Name"
+          },
+          "prompt": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PromptParams" }
+            ],
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+          },
+          "language": {
+            "allOf": [{ "$ref": "#/components/schemas/Language" }],
+            "default": "en"
+          },
+          "actions": {
+            "items": { "type": "string", "format": "uuid" },
+            "type": "array",
+            "title": "Actions"
+          },
+          "voice": { "type": "string", "format": "uuid", "title": "Voice" },
+          "initial_message": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Initial Message"
+          },
+          "webhook": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "type": "null" }
+            ],
+            "title": "Webhook"
+          },
+          "vector_database": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PineconeVectorDatabaseParams" },
+              { "type": "null" }
+            ],
+            "title": "Vector Database"
+          },
+          "interrupt_sensitivity": {
+            "allOf": [{ "$ref": "#/components/schemas/InterruptSensitivity" }],
+            "default": "low"
+          },
+          "context_endpoint": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Context Endpoint"
+          },
+          "noise_suppression": {
+            "type": "boolean",
+            "title": "Noise Suppression",
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+            "type": "string",
+            "enum": ["auto", "relaxed", "sensitive"],
+            "title": "Endpointing Sensitivity",
+            "default": "auto"
+          },
+          "ivr_navigation_mode": {
+            "type": "string",
+            "enum": ["default", "off"],
+            "title": "Ivr Navigation Mode",
+            "default": "off"
+          },
+          "conversation_speed": {
+            "type": "number",
+            "title": "Conversation Speed",
+            "default": 1.0
+          },
+          "initial_message_delay": {
+            "type": "number",
+            "title": "Initial Message Delay",
+            "default": 0.0
+          },
+          "openai_model_name_override": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Openai Model Name Override"
+          },
+          "ask_if_human_present_on_idle": {
+            "type": "boolean",
+            "title": "Ask If Human Present On Idle",
+            "default": false
+          },
+          "openai_account_connection": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/OpenAIAccountConnection" },
+              { "type": "string", "format": "uuid" },
+              { "type": "null" }
+            ],
+            "title": "Openai Account Connection"
+          },
+          "run_do_not_call_detection": {
+            "type": "boolean",
+            "title": "Run Do Not Call Detection",
+            "default": false
+          },
+          "llm_fallback": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/InternalLLMFallback" },
+              { "type": "null" }
+            ]
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+          "deepgram_keywords": {
+            "anyOf": [
+              {
+                "additionalProperties": {
+                  "anyOf": [{ "type": "integer" }, { "type": "number" }]
+                },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Deepgram Keywords"
+          },
+          "idle_time_seconds": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Idle Time Seconds"
+          },
+          "llm_temperature": {
+            "type": "number",
+            "title": "Llm Temperature",
+            "default": 0.0
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "prompt", "actions", "voice"],
+        "title": "NormalizedAgent"
+      },
+      "NormalizedCall": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "status": {
+            "allOf": [{ "$ref": "#/components/schemas/CallStatus" }],
+            "default": "not_started"
+          },
+          "error_message": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Error Message"
+          },
+          "recording_available": {
+            "type": "boolean",
+            "title": "Recording Available",
+            "default": false
+          },
+          "transcript": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Transcript"
+          },
+          "human_detection_result": {
+            "anyOf": [
+              { "type": "string", "enum": ["human", "no_human"] },
+              { "type": "null" }
+            ],
+            "title": "Human Detection Result"
+          },
+          "do_not_call_result": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Do Not Call Result"
+          },
+          "telephony_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Telephony Id"
+          },
+          "stage": {
+            "anyOf": [
+              {
+                "type": "string",
+                "enum": [
+                  "created",
+                  "picked_up",
+                  "transfer_started",
+                  "transfer_successful"
+                ]
+              },
+              { "type": "null" }
+            ],
+            "title": "Stage"
+          },
+          "stage_outcome": {
+            "anyOf": [
+              {
+                "type": "string",
+                "enum": [
+                  "human_unanswered",
+                  "call_did_not_connect",
+                  "human_disconnected",
+                  "bot_disconnected",
+                  "transfer_unanswered",
+                  "transfer_disconnected"
+                ]
+              },
+              { "type": "null" }
+            ],
+            "title": "Stage Outcome"
+          },
+          "telephony_metadata": {
+            "anyOf": [
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/VonageTelephonyMetadata" },
+                  { "$ref": "#/components/schemas/TwilioTelephonyMetadata" }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "telephony_metadata_twilio": "#/components/schemas/TwilioTelephonyMetadata",
+                    "telephony_metadata_vonage": "#/components/schemas/VonageTelephonyMetadata"
+                  }
+                }
+              },
+              { "type": "null" }
+            ],
+            "title": "Telephony Metadata"
+          },
+          "start_time": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Start Time"
+          },
+          "end_time": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "End Time"
+          },
+          "to_number": { "type": "string", "title": "To Number" },
+          "from_number": { "type": "string", "title": "From Number" },
+          "agent": { "type": "string", "format": "uuid", "title": "Agent" },
+          "telephony_provider": {
+            "type": "string",
+            "enum": ["vonage", "twilio"],
+            "title": "Telephony Provider"
+          },
+          "agent_phone_number": {
+            "type": "string",
+            "title": "Agent Phone Number"
+          },
+          "hipaa_compliant": {
+            "type": "boolean",
+            "title": "Hipaa Compliant",
+            "default": false
+          },
+          "on_no_human_answer": {
+            "anyOf": [
+              { "type": "string", "enum": ["continue", "hangup"] },
+              { "type": "null" }
+            ],
+            "title": "On No Human Answer"
+          },
+          "context": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Context"
+          },
+          "run_do_not_call_detection": {
+            "anyOf": [{ "type": "boolean" }, { "type": "null" }],
+            "title": "Run Do Not Call Detection"
+          },
+          "telephony_account_connection": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/TwilioAccountConnection" },
+              { "type": "null" }
+            ],
+            "title": "Telephony Account Connection"
+          },
+          "telephony_params": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Telephony Params"
+          }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "user_id",
+          "to_number",
+          "from_number",
+          "agent",
+          "telephony_provider",
+          "agent_phone_number"
+        ],
+        "title": "NormalizedCall"
+      },
+      "NormalizedPhoneNumber": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "active": { "type": "boolean", "title": "Active", "default": true },
+          "label": { "type": "string", "title": "Label", "default": "" },
+          "inbound_agent": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "type": "null" }
+            ],
+            "title": "Inbound Agent"
+          },
+          "outbound_only": {
+            "type": "boolean",
+            "title": "Outbound Only",
+            "default": false
+          },
+          "example_context": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Example Context"
+          },
+          "number": { "type": "string", "title": "Number" },
+          "telephony_provider": {
+            "type": "string",
+            "enum": ["vonage", "twilio"],
+            "title": "Telephony Provider",
+            "default": "vonage"
+          },
+          "telephony_account_connection": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/TwilioAccountConnection" },
+              { "type": "null" }
+            ],
+            "title": "Telephony Account Connection"
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "number"],
+        "title": "NormalizedPhoneNumber"
+      },
+      "NormalizedPrompt": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "content": { "type": "string", "title": "Content", "default": "" },
+          "collect_fields": {
+            "anyOf": [
+              {
+                "items": { "$ref": "#/components/schemas/CollectField" },
+                "type": "array"
+              },
+              { "type": "null" }
+            ],
+            "title": "Collect Fields"
+          },
+          "context_endpoint": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Context Endpoint"
+          },
+          "prompt_template": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "type": "null" }
+            ],
+            "title": "Prompt Template"
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id"],
+        "title": "NormalizedPrompt"
+      },
+      "OpenAIAccountConnection": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "credentials": { "$ref": "#/components/schemas/OpenAICredentials" },
+          "type": {
+            "type": "string",
+            "enum": ["account_connection_openai"],
+            "const": "account_connection_openai",
+            "title": "Type"
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "credentials", "type"],
+        "title": "OpenAIAccountConnection"
+      },
+      "OpenAIAccountConnectionParams": {
+        "properties": {
+          "credentials": { "$ref": "#/components/schemas/OpenAICredentials" },
+          "type": {
+            "type": "string",
+            "enum": ["account_connection_openai"],
+            "const": "account_connection_openai",
+            "title": "Type"
+          }
+        },
+        "type": "object",
+        "required": ["credentials", "type"],
+        "title": "OpenAIAccountConnectionParams"
+      },
+      "OpenAIAccountConnectionUpdateParams": {
+        "properties": {
+          "credentials": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/OpenAICredentials" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Credentials"
+          },
+          "type": {
+            "type": "string",
+            "enum": ["account_connection_openai"],
+            "const": "account_connection_openai",
+            "title": "Type"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "OpenAIAccountConnectionUpdateParams"
+      },
+      "OpenAICredentials": {
+        "properties": {
+          "openai_api_key": { "type": "string", "title": "Openai Api Key" }
+        },
+        "type": "object",
+        "required": ["openai_api_key"],
+        "title": "OpenAICredentials"
+      },
+      "PhoneNumber": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "active": { "type": "boolean", "title": "Active", "default": true },
+          "label": { "type": "string", "title": "Label", "default": "" },
+          "inbound_agent": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/Agent" },
+              { "type": "null" }
+            ]
+          },
+          "outbound_only": {
+            "type": "boolean",
+            "title": "Outbound Only",
+            "default": false
+          },
+          "example_context": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "type": "null" }
+            ],
+            "title": "Example Context"
+          },
+          "number": { "type": "string", "title": "Number" },
+          "telephony_provider": {
+            "type": "string",
+            "enum": ["vonage", "twilio"],
+            "title": "Telephony Provider",
+            "default": "vonage"
+          },
+          "telephony_account_connection": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/TwilioAccountConnection" },
+              { "type": "null" }
+            ]
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "number"],
+        "title": "PhoneNumber"
+      },
+      "PhoneNumberPage": {
+        "properties": {
+          "items": {
+            "items": { "$ref": "#/components/schemas/NormalizedPhoneNumber" },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "PhoneNumberPage"
+      },
+      "PhraseBasedActionTrigger-Input": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_trigger_phrase_based"],
+            "const": "action_trigger_phrase_based",
+            "title": "Type"
+          },
+          "config": {
+            "$ref": "#/components/schemas/PhraseBasedActionTriggerConfig"
+          }
+        },
+        "type": "object",
+        "required": ["type", "config"],
+        "title": "PhraseBasedActionTrigger"
+      },
+      "PhraseBasedActionTrigger-Output": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_trigger_phrase_based"],
+            "const": "action_trigger_phrase_based",
+            "title": "Type"
+          },
+          "config": {
+            "$ref": "#/components/schemas/PhraseBasedActionTriggerConfig"
+          }
+        },
+        "type": "object",
+        "required": ["type", "config"],
+        "title": "PhraseBasedActionTrigger"
+      },
+      "PhraseBasedActionTriggerConfig": {
+        "properties": {
+          "phrase_triggers": {
+            "items": { "$ref": "#/components/schemas/PhraseTrigger" },
+            "type": "array",
+            "title": "Phrase Triggers"
+          }
+        },
+        "type": "object",
+        "required": ["phrase_triggers"],
+        "title": "PhraseBasedActionTriggerConfig"
+      },
+      "PhraseTrigger": {
+        "properties": {
+          "phrase": { "type": "string", "title": "Phrase" },
+          "conditions": {
+            "items": {
+              "type": "string",
+              "enum": ["phrase_condition_type_contains"],
+              "const": "phrase_condition_type_contains"
+            },
+            "type": "array",
+            "title": "Conditions"
+          }
+        },
+        "type": "object",
+        "required": ["phrase", "conditions"],
+        "title": "PhraseTrigger"
+      },
+      "PineconeVectorDatabase": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["vector_database_pinecone"],
+            "const": "vector_database_pinecone",
+            "title": "Type"
+          },
+          "index": { "type": "string", "title": "Index" },
+          "api_key": { "type": "string", "title": "Api Key" },
+          "api_environment": { "type": "string", "title": "Api Environment" }
+        },
+        "type": "object",
+        "required": [
+          "id",
+          "user_id",
+          "type",
+          "index",
+          "api_key",
+          "api_environment"
+        ],
+        "title": "PineconeVectorDatabase"
+      },
+      "PineconeVectorDatabaseParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["vector_database_pinecone"],
+            "const": "vector_database_pinecone",
+            "title": "Type"
+          },
+          "index": { "type": "string", "title": "Index" },
+          "api_key": { "type": "string", "title": "Api Key" },
+          "api_environment": { "type": "string", "title": "Api Environment" }
+        },
+        "type": "object",
+        "required": ["type", "index", "api_key", "api_environment"],
+        "title": "PineconeVectorDatabaseParams"
+      },
+      "PineconeVectorDatabaseUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["vector_database_pinecone"],
+            "const": "vector_database_pinecone",
+            "title": "Type"
+          },
+          "index": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Index"
+          },
+          "api_key": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Api Key"
+          },
+          "api_environment": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Api Environment"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "PineconeVectorDatabaseUpdateParams"
+      },
+      "PlanType": {
+        "type": "string",
+        "enum": [
+          "plan_free",
+          "plan_developer",
+          "plan_enterprise",
+          "plan_unlimited"
+        ],
+        "title": "PlanType"
+      },
+      "PlayHtVoice": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["voice_play_ht"],
+            "const": "voice_play_ht",
+            "title": "Type"
+          },
+          "voice_id": { "type": "string", "title": "Voice Id" },
+          "api_user_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Api User Id"
+          },
+          "api_key": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Api Key"
+          },
+          "version": {
+            "type": "string",
+            "enum": ["1", "2"],
+            "title": "Version",
+            "default": "2"
+          },
+          "speed": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Speed"
+          },
+          "quality": {
+            "anyOf": [
+              {
+                "type": "string",
+                "enum": ["faster", "draft", "low", "medium", "high", "premium"]
+              },
+              { "type": "null" }
+            ],
+            "title": "Quality"
+          },
+          "temperature": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Temperature"
+          },
+          "top_p": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Top P"
+          },
+          "text_guidance": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Text Guidance"
+          },
+          "voice_guidance": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Voice Guidance"
+          },
+          "experimental_remove_silence": {
+            "type": "boolean",
+            "title": "Experimental Remove Silence",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type", "voice_id"],
+        "title": "PlayHtVoice"
+      },
+      "PlayHtVoiceParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_play_ht"],
+            "const": "voice_play_ht",
+            "title": "Type"
+          },
+          "voice_id": { "type": "string", "title": "Voice Id" },
+          "api_user_id": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Api User Id"
+          },
+          "api_key": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Api Key"
+          },
+          "version": {
+            "type": "string",
+            "enum": ["1", "2"],
+            "title": "Version",
+            "default": "2"
+          },
+          "speed": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Speed"
+          },
+          "quality": {
+            "anyOf": [
+              {
+                "type": "string",
+                "enum": ["faster", "draft", "low", "medium", "high", "premium"]
+              },
+              { "type": "null" }
+            ],
+            "title": "Quality"
+          },
+          "temperature": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Temperature"
+          },
+          "top_p": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Top P"
+          },
+          "text_guidance": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Text Guidance"
+          },
+          "voice_guidance": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Voice Guidance"
+          },
+          "experimental_remove_silence": {
+            "type": "boolean",
+            "title": "Experimental Remove Silence",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": ["type", "voice_id"],
+        "title": "PlayHtVoiceParams"
+      },
+      "PlayHtVoiceUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_play_ht"],
+            "const": "voice_play_ht",
+            "title": "Type"
+          },
+          "voice_id": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Voice Id"
+          },
+          "api_user_id": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Api User Id"
+          },
+          "api_key": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Api Key"
+          },
+          "version": {
+            "anyOf": [
+              { "type": "string", "enum": ["1", "2"] },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Version"
+          },
+          "speed": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Speed"
+          },
+          "quality": {
+            "anyOf": [
+              {
+                "type": "string",
+                "enum": ["faster", "draft", "low", "medium", "high", "premium"]
+              },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Quality"
+          },
+          "temperature": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Temperature"
+          },
+          "top_p": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Top P"
+          },
+          "text_guidance": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Text Guidance"
+          },
+          "voice_guidance": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Voice Guidance"
+          },
+          "experimental_remove_silence": {
+            "anyOf": [
+              { "type": "boolean" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Experimental Remove Silence"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "PlayHtVoiceUpdateParams"
+      },
+      "Prompt": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "content": { "type": "string", "title": "Content", "default": "" },
+          "collect_fields": {
+            "anyOf": [
+              {
+                "items": { "$ref": "#/components/schemas/CollectField" },
+                "type": "array"
+              },
+              { "type": "null" }
+            ],
+            "title": "Collect Fields"
+          },
+          "context_endpoint": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Context Endpoint"
+          },
+          "prompt_template": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/PromptTemplate" },
+              { "type": "null" }
+            ]
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id"],
+        "title": "Prompt"
+      },
+      "PromptPage": {
+        "properties": {
+          "items": {
+            "items": { "$ref": "#/components/schemas/NormalizedPrompt" },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "PromptPage"
+      },
+      "PromptParams": {
+        "properties": {
+          "content": { "type": "string", "title": "Content", "default": "" },
+          "collect_fields": {
+            "anyOf": [
+              {
+                "items": { "$ref": "#/components/schemas/CollectField" },
+                "type": "array"
+              },
+              { "type": "null" }
+            ],
+            "title": "Collect Fields"
+          },
+          "context_endpoint": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Context Endpoint"
+          },
+          "prompt_template": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PromptTemplate" },
+              { "type": "null" }
+            ],
+            "title": "Prompt Template"
+          }
+        },
+        "type": "object",
+        "title": "PromptParams"
+      },
+      "PromptTemplate": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "label": { "type": "string", "title": "Label", "default": "" },
+          "required_context_keys": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Required Context Keys"
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "required_context_keys"],
+        "title": "PromptTemplate"
+      },
+      "PromptUpdateParams": {
+        "properties": {
+          "content": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Content"
+          },
+          "collect_fields": {
+            "anyOf": [
+              {
+                "items": { "$ref": "#/components/schemas/CollectField" },
+                "type": "array"
+              },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Collect Fields"
+          },
+          "context_endpoint": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Context Endpoint"
+          },
+          "prompt_template": {
+            "anyOf": [
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/PromptTemplate" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Prompt Template"
+          }
+        },
+        "type": "object",
+        "title": "PromptUpdateParams"
+      },
+      "RemoveFromSteeringPoolRequest": {
+        "properties": {
+          "phone_number": { "type": "string", "title": "Phone Number" }
+        },
+        "type": "object",
+        "required": ["phone_number"],
+        "title": "RemoveFromSteeringPoolRequest"
+      },
+      "RimeVoice": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["voice_rime"],
+            "const": "voice_rime",
+            "title": "Type"
+          },
+          "speaker": { "type": "string", "title": "Speaker" },
+          "speed_alpha": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Speed Alpha"
+          },
+          "model_id": {
+            "anyOf": [
+              { "type": "string", "enum": ["mist", "v1"] },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Model Id"
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type", "speaker"],
+        "title": "RimeVoice"
+      },
+      "RimeVoiceParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_rime"],
+            "const": "voice_rime",
+            "title": "Type"
+          },
+          "speaker": { "type": "string", "title": "Speaker" },
+          "speed_alpha": {
+            "anyOf": [{ "type": "number" }, { "type": "null" }],
+            "title": "Speed Alpha"
+          },
+          "model_id": {
+            "anyOf": [
+              { "type": "string", "enum": ["mist", "v1"] },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Model Id"
+          }
+        },
+        "type": "object",
+        "required": ["type", "speaker"],
+        "title": "RimeVoiceParams"
+      },
+      "RimeVoiceUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_rime"],
+            "const": "voice_rime",
+            "title": "Type"
+          },
+          "speaker": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Speaker"
+          },
+          "speed_alpha": {
+            "anyOf": [
+              { "type": "number" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Speed Alpha"
+          },
+          "model_id": {
+            "anyOf": [
+              { "type": "string", "enum": ["mist", "v1"] },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Model Id"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "RimeVoiceUpdateParams"
+      },
+      "SetHoldAction": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["action_set_hold"],
+            "const": "action_set_hold",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/EmptyActionConfig" },
+          "action_trigger": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/PhraseBasedActionTrigger-Output" }
+            ],
+            "title": "Action Trigger",
+            "default": { "type": "action_trigger_function_call", "config": {} },
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Output"
+              }
+            }
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type"],
+        "title": "SetHoldAction"
+      },
+      "SetHoldActionParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_set_hold"],
+            "const": "action_set_hold",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/EmptyActionConfig" },
+          "action_trigger": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/PhraseBasedActionTrigger-Input" }
+            ],
+            "title": "Action Trigger",
+            "default": { "type": "action_trigger_function_call", "config": {} },
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Input"
+              }
+            }
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "SetHoldActionParams"
+      },
+      "SetHoldActionUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_set_hold"],
+            "const": "action_set_hold",
+            "title": "Type"
+          },
+          "config": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/EmptyActionConfig" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Config"
+          },
+          "action_trigger": {
+            "anyOf": [
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+                  {
+                    "$ref": "#/components/schemas/PhraseBasedActionTrigger-Input"
+                  }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                    "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Input"
+                  }
+                }
+              },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Action Trigger",
+            "default": {}
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "SetHoldActionUpdateParams"
+      },
+      "TransferCallAction": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["action_transfer_call"],
+            "const": "action_transfer_call",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/TransferCallConfig" },
+          "action_trigger": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/PhraseBasedActionTrigger-Output" }
+            ],
+            "title": "Action Trigger",
+            "default": { "type": "action_trigger_function_call", "config": {} },
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Output"
+              }
+            }
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type", "config"],
+        "title": "TransferCallAction"
+      },
+      "TransferCallActionParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_transfer_call"],
+            "const": "action_transfer_call",
+            "title": "Type"
+          },
+          "config": { "$ref": "#/components/schemas/TransferCallConfig" },
+          "action_trigger": {
+            "oneOf": [
+              { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+              { "$ref": "#/components/schemas/PhraseBasedActionTrigger-Input" }
+            ],
+            "title": "Action Trigger",
+            "default": { "type": "action_trigger_function_call", "config": {} },
+            "discriminator": {
+              "propertyName": "type",
+              "mapping": {
+                "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Input"
+              }
+            }
+          }
+        },
+        "type": "object",
+        "required": ["type", "config"],
+        "title": "TransferCallActionParams"
+      },
+      "TransferCallActionUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["action_transfer_call"],
+            "const": "action_transfer_call",
+            "title": "Type"
+          },
+          "config": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/TransferCallConfig" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Config"
+          },
+          "action_trigger": {
+            "anyOf": [
+              {
+                "oneOf": [
+                  { "$ref": "#/components/schemas/FunctionCallActionTrigger" },
+                  {
+                    "$ref": "#/components/schemas/PhraseBasedActionTrigger-Input"
+                  }
+                ],
+                "discriminator": {
+                  "propertyName": "type",
+                  "mapping": {
+                    "action_trigger_function_call": "#/components/schemas/FunctionCallActionTrigger",
+                    "action_trigger_phrase_based": "#/components/schemas/PhraseBasedActionTrigger-Input"
+                  }
+                }
+              },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Action Trigger",
+            "default": {}
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "TransferCallActionUpdateParams"
+      },
+      "TransferCallConfig": {
+        "properties": {
+          "phone_number": { "type": "string", "title": "Phone Number" }
+        },
+        "type": "object",
+        "required": ["phone_number"],
+        "title": "TransferCallConfig"
+      },
+      "TwilioAccountConnection": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "credentials": { "$ref": "#/components/schemas/TwilioCredentials" },
+          "type": {
+            "type": "string",
+            "enum": ["account_connection_twilio"],
+            "const": "account_connection_twilio",
+            "title": "Type"
+          },
+          "steering_pool": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Steering Pool"
+          },
+          "account_supports_any_caller_id": {
+            "type": "boolean",
+            "title": "Account Supports Any Caller Id",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "credentials", "type"],
+        "title": "TwilioAccountConnection"
+      },
+      "TwilioAccountConnectionParams": {
+        "properties": {
+          "credentials": { "$ref": "#/components/schemas/TwilioCredentials" },
+          "type": {
+            "type": "string",
+            "enum": ["account_connection_twilio"],
+            "const": "account_connection_twilio",
+            "title": "Type"
+          },
+          "steering_pool": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Steering Pool"
+          },
+          "account_supports_any_caller_id": {
+            "type": "boolean",
+            "title": "Account Supports Any Caller Id",
+            "default": false
+          }
+        },
+        "type": "object",
+        "required": ["credentials", "type"],
+        "title": "TwilioAccountConnectionParams"
+      },
+      "TwilioAccountConnectionUpdateParams": {
+        "properties": {
+          "credentials": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/TwilioCredentials" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Credentials"
+          },
+          "type": {
+            "type": "string",
+            "enum": ["account_connection_twilio"],
+            "const": "account_connection_twilio",
+            "title": "Type"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "TwilioAccountConnectionUpdateParams"
+      },
+      "TwilioCredentials": {
+        "properties": {
+          "twilio_account_sid": {
+            "type": "string",
+            "title": "Twilio Account Sid"
+          },
+          "twilio_auth_token": {
+            "type": "string",
+            "title": "Twilio Auth Token"
+          }
+        },
+        "type": "object",
+        "required": ["twilio_account_sid", "twilio_auth_token"],
+        "title": "TwilioCredentials"
+      },
+      "TwilioTelephonyMetadata": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["telephony_metadata_twilio"],
+            "const": "telephony_metadata_twilio",
+            "title": "Type",
+            "default": "telephony_metadata_twilio"
+          },
+          "call_sid": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Call Sid"
+          },
+          "call_status": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Call Status"
+          },
+          "transfer_call_sid": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Transfer Call Sid"
+          },
+          "transfer_call_status": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Transfer Call Status"
+          },
+          "conference_sid": {
+            "anyOf": [{ "type": "string" }, { "type": "null" }],
+            "title": "Conference Sid"
+          }
+        },
+        "type": "object",
+        "title": "TwilioTelephonyMetadata"
+      },
+      "Undefined": {
+        "properties": {},
+        "additionalProperties": false,
+        "type": "object",
+        "title": "Undefined"
+      },
+      "UpdateNumberRequest": {
+        "properties": {
+          "outbound_only": {
+            "anyOf": [
+              { "type": "boolean" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Outbound Only"
+          },
+          "example_context": {
+            "anyOf": [
+              {
+                "additionalProperties": { "type": "string" },
+                "type": "object"
+              },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Example Context"
+          },
+          "label": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Label"
+          },
+          "inbound_agent": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/AgentUpdateParams" },
+              { "type": "string", "format": "uuid" },
+              { "$ref": "#/components/schemas/Undefined" },
+              { "type": "null" }
+            ],
+            "title": "Inbound Agent"
+          }
+        },
+        "type": "object",
+        "title": "UpdateNumberRequest"
+      },
+      "Usage": {
+        "properties": {
+          "user_id": { "type": "string", "title": "User Id" },
+          "plan_type": { "$ref": "#/components/schemas/PlanType" },
+          "monthly_usage_minutes": {
+            "type": "integer",
+            "title": "Monthly Usage Minutes"
+          },
+          "monthly_usage_limit_minutes": {
+            "anyOf": [{ "type": "integer" }, { "type": "null" }],
+            "title": "Monthly Usage Limit Minutes"
+          }
+        },
+        "type": "object",
+        "required": ["user_id", "plan_type", "monthly_usage_minutes"],
+        "title": "Usage"
+      },
+      "ValidationError": {
+        "properties": {
+          "loc": {
+            "items": { "anyOf": [{ "type": "string" }, { "type": "integer" }] },
+            "type": "array",
+            "title": "Location"
+          },
+          "msg": { "type": "string", "title": "Message" },
+          "type": { "type": "string", "title": "Error Type" }
+        },
+        "type": "object",
+        "required": ["loc", "msg", "type"],
+        "title": "ValidationError"
+      },
+      "VectorDatabasePage": {
+        "properties": {
+          "items": {
+            "items": { "$ref": "#/components/schemas/PineconeVectorDatabase" },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "VectorDatabasePage"
+      },
+      "VocodeVoice": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "type": {
+            "type": "string",
+            "enum": ["voice_vocode"],
+            "const": "voice_vocode",
+            "title": "Type"
+          },
+          "voice_id": {
+            "type": "string",
+            "enum": ["joe"],
+            "const": "joe",
+            "title": "Voice Id"
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "type", "voice_id"],
+        "title": "VocodeVoice"
+      },
+      "VocodeVoiceParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_vocode"],
+            "const": "voice_vocode",
+            "title": "Type"
+          },
+          "voice_id": {
+            "type": "string",
+            "enum": ["joe"],
+            "const": "joe",
+            "title": "Voice Id"
+          }
+        },
+        "type": "object",
+        "required": ["type", "voice_id"],
+        "title": "VocodeVoiceParams"
+      },
+      "VocodeVoiceUpdateParams": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["voice_vocode"],
+            "const": "voice_vocode",
+            "title": "Type"
+          },
+          "voice_id": {
+            "anyOf": [
+              { "type": "string", "enum": ["joe"], "const": "joe" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Voice Id"
+          }
+        },
+        "type": "object",
+        "required": ["type"],
+        "title": "VocodeVoiceUpdateParams"
+      },
+      "VoicePage": {
+        "properties": {
+          "items": {
+            "items": {
+              "oneOf": [
+                { "$ref": "#/components/schemas/AzureVoice" },
+                { "$ref": "#/components/schemas/RimeVoice" },
+                { "$ref": "#/components/schemas/ElevenLabsVoice" },
+                { "$ref": "#/components/schemas/PlayHtVoice" },
+                { "$ref": "#/components/schemas/VocodeVoice" }
+              ],
+              "discriminator": {
+                "propertyName": "type",
+                "mapping": {
+                  "voice_azure": "#/components/schemas/AzureVoice",
+                  "voice_eleven_labs": "#/components/schemas/ElevenLabsVoice",
+                  "voice_play_ht": "#/components/schemas/PlayHtVoice",
+                  "voice_rime": "#/components/schemas/RimeVoice",
+                  "voice_vocode": "#/components/schemas/VocodeVoice"
+                }
+              }
+            },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "VoicePage"
+      },
+      "VoiceParamsRequest": {
+        "oneOf": [
+          { "$ref": "#/components/schemas/AzureVoiceParams" },
+          { "$ref": "#/components/schemas/RimeVoiceParams" },
+          { "$ref": "#/components/schemas/ElevenLabsVoiceParams" },
+          { "$ref": "#/components/schemas/PlayHtVoiceParams" },
+          { "$ref": "#/components/schemas/VocodeVoiceParams" }
+        ],
+        "title": "VoiceParamsRequest",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "voice_azure": "#/components/schemas/AzureVoiceParams",
+            "voice_eleven_labs": "#/components/schemas/ElevenLabsVoiceParams",
+            "voice_play_ht": "#/components/schemas/PlayHtVoiceParams",
+            "voice_rime": "#/components/schemas/RimeVoiceParams",
+            "voice_vocode": "#/components/schemas/VocodeVoiceParams"
+          }
+        }
+      },
+      "VoiceResponseModel": {
+        "oneOf": [
+          { "$ref": "#/components/schemas/AzureVoice" },
+          { "$ref": "#/components/schemas/RimeVoice" },
+          { "$ref": "#/components/schemas/ElevenLabsVoice" },
+          { "$ref": "#/components/schemas/PlayHtVoice" },
+          { "$ref": "#/components/schemas/VocodeVoice" }
+        ],
+        "title": "VoiceResponseModel",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "voice_azure": "#/components/schemas/AzureVoice",
+            "voice_eleven_labs": "#/components/schemas/ElevenLabsVoice",
+            "voice_play_ht": "#/components/schemas/PlayHtVoice",
+            "voice_rime": "#/components/schemas/RimeVoice",
+            "voice_vocode": "#/components/schemas/VocodeVoice"
+          }
+        }
+      },
+      "VoiceUpdateParamsRequest": {
+        "oneOf": [
+          { "$ref": "#/components/schemas/AzureVoiceUpdateParams" },
+          { "$ref": "#/components/schemas/RimeVoiceUpdateParams" },
+          { "$ref": "#/components/schemas/ElevenLabsVoiceUpdateParams" },
+          { "$ref": "#/components/schemas/PlayHtVoiceUpdateParams" },
+          { "$ref": "#/components/schemas/VocodeVoiceUpdateParams" }
+        ],
+        "title": "VoiceUpdateParamsRequest",
+        "discriminator": {
+          "propertyName": "type",
+          "mapping": {
+            "voice_azure": "#/components/schemas/AzureVoiceUpdateParams",
+            "voice_eleven_labs": "#/components/schemas/ElevenLabsVoiceUpdateParams",
+            "voice_play_ht": "#/components/schemas/PlayHtVoiceUpdateParams",
+            "voice_rime": "#/components/schemas/RimeVoiceUpdateParams",
+            "voice_vocode": "#/components/schemas/VocodeVoiceUpdateParams"
+          }
+        }
+      },
+      "VonageTelephonyMetadata": {
+        "properties": {
+          "type": {
+            "type": "string",
+            "enum": ["telephony_metadata_vonage"],
+            "const": "telephony_metadata_vonage",
+            "title": "Type",
+            "default": "telephony_metadata_vonage"
+          }
+        },
+        "type": "object",
+        "title": "VonageTelephonyMetadata"
+      },
+      "Webhook": {
+        "properties": {
+          "id": { "type": "string", "format": "uuid", "title": "Id" },
+          "user_id": { "type": "string", "format": "uuid", "title": "User Id" },
+          "subscriptions": {
+            "items": { "$ref": "#/components/schemas/EventType" },
+            "type": "array",
+            "title": "Subscriptions"
+          },
+          "url": { "type": "string", "title": "Url" },
+          "method": {
+            "allOf": [{ "$ref": "#/components/schemas/HTTPMethod" }],
+            "default": "POST"
+          }
+        },
+        "type": "object",
+        "required": ["id", "user_id", "subscriptions", "url"],
+        "title": "Webhook"
+      },
+      "WebhookPage": {
+        "properties": {
+          "items": {
+            "items": { "$ref": "#/components/schemas/Webhook" },
+            "type": "array",
+            "title": "Items"
+          },
+          "page": { "type": "integer", "title": "Page" },
+          "size": { "type": "integer", "title": "Size" },
+          "has_more": { "type": "boolean", "title": "Has More" },
+          "total": { "type": "integer", "title": "Total" },
+          "total_is_estimated": {
+            "type": "boolean",
+            "title": "Total Is Estimated"
+          }
+        },
+        "type": "object",
+        "required": [
+          "items",
+          "page",
+          "size",
+          "has_more",
+          "total",
+          "total_is_estimated"
+        ],
+        "title": "WebhookPage"
+      },
+      "WebhookParams": {
+        "properties": {
+          "subscriptions": {
+            "items": { "$ref": "#/components/schemas/EventType" },
+            "type": "array",
+            "title": "Subscriptions"
+          },
+          "url": { "type": "string", "title": "Url" },
+          "method": {
+            "allOf": [{ "$ref": "#/components/schemas/HTTPMethod" }],
+            "default": "POST"
+          }
+        },
+        "type": "object",
+        "required": ["subscriptions", "url"],
+        "title": "WebhookParams"
+      },
+      "WebhookUpdateParams": {
+        "properties": {
+          "subscriptions": {
+            "anyOf": [
+              {
+                "items": { "$ref": "#/components/schemas/EventType" },
+                "type": "array"
+              },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Subscriptions"
+          },
+          "url": {
+            "anyOf": [
+              { "type": "string" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Url"
+          },
+          "method": {
+            "anyOf": [
+              { "$ref": "#/components/schemas/HTTPMethod" },
+              { "$ref": "#/components/schemas/Undefined" }
+            ],
+            "title": "Method"
+          }
+        },
+        "type": "object",
+        "title": "WebhookUpdateParams"
+      }
+    },
+    "securitySchemes": { "HTTPBearer": { "type": "http", "scheme": "bearer" } }
+  },
+  "tags": [
+    { "name": "numbers", "description": "Operations with phone numbers." },
+    { "name": "calls", "description": "Manage calls." }
+  ]
+}
diff --git a/docs/prompt-engineering.mdx b/docs/prompt-engineering.mdx
new file mode 100644
index 0000000000..9003286ebb
--- /dev/null
+++ b/docs/prompt-engineering.mdx
@@ -0,0 +1,6 @@
+---
+title: "Prompt Engineering"
+description: "🚧 Under construction"
+---
+
+#
diff --git a/docs/prompts.mdx b/docs/prompts.mdx
new file mode 100644
index 0000000000..e0d470b069
--- /dev/null
+++ b/docs/prompts.mdx
@@ -0,0 +1,39 @@
+---
+title: "Prompts"
+description: "How to instruct your agents"
+---
+
+# Prompt Basics
+
+Prompts are instructions that you can write in natural language to instruct Vocode Agents how to behave. In this guide,
+we'll cover how prompts are represented in the Vocode API. For best practices on prompting, check out our guide on [Prompt Engineering](/prompt-engineering).
+
+# Vocode Prompts
+
+Standard prompts can only contain raw text. Here is an example for how to create a standard prompt:
+
+```python
+PROMPT = """
+sample prompt
+"""
+
+prompt = vocode_client.prompts.create_prompt(request=PromptParams(content=PROMPT))
+```
+
+We can assign this to an agent via the agent update endpoint like so:
+
+```python
+update_response = vocode_client.agents.update_agent(
+    id=agent_id,
+    request=AgentUpdateParams(
+        prompt=prompt.id,
+    ),
+)
+```
+
+# Prompt Engineering
+
+Prompt engineering is a critical part of setting up your agent correctly. Poorly instructing your agent could cause it to
+underperform expectations.
+
+We've compiled some best practices in our guide for [Prompt Engineering](/prompt-engineering).
diff --git a/docs/react-quickstart.mdx b/docs/react-quickstart.mdx
deleted file mode 100644
index e1ba12ff53..0000000000
--- a/docs/react-quickstart.mdx
+++ /dev/null
@@ -1,155 +0,0 @@
----
-title: "React Quickstart"
-description: "Get up and running using React"
----
-
-# Installation
-
-`npm install vocode`
-
-Or, start from our [Replit template](https://replit.com/@vocode/Simple-Conversation).
-
-# Usage
-
-## Setting up the conversation
-
-### Hosted
-
-You'll need to get an API key from our [dashboard](https://app.vocode.dev/) to get started. Similar to the Python Quickstart, we provide a TypeScript interface for the conversation configuration.
-
-```javascript
-import {
-  AudioDeviceConfig,
-  ConversationConfig,
-  ChatGPTAgentConfig,
-  DeepgramTranscriberConfig,
-  AzureSynthesizerConfig,
-  VocodeConfig,
-} from "vocode";
-
-const transcriberConfig: Omit<
-  DeepgramTranscriberConfig,
-  "samplingRate" | "audioEncoding"
-> = {
-  type: "transcriber_deepgram",
-  chunkSize: 2048,
-};
-const agentConfig: ChatGPTAgentConfig = {
-  type: "agent_chat_gpt",
-  initialMessage: {
-    type: "message_base",
-    text: "Hello!",
-  },
-  promptPreamble: "The AI is having a pleasant conversation about life",
-};
-const synthesizerConfig: Omit<
-  AzureSynthesizerConfig,
-  "samplingRate" | "audioEncoding"
-> = {
-  type: "synthesizer_azure",
-  shouldEncodeAsWav: true,
-};
-const vocodeConfig: VocodeConfig = {
-  apiKey: process.env.REACT_APP_VOCODE_API_KEY || "",
-};
-const audioDeviceConfig: AudioDeviceConfig = {};
-```
-
-#### Running the conversation
-
-We provide a React hook to facilitate conversations created from the configuration above.
-
-```javascript
-import { useConversation } from "vocode";
-
-const { status, start, stop, analyserNode } = useConversation({
-  transcriberConfig,
-  agentConfig,
-  synthesizerConfig,
-  vocodeConfig,
-  audioDeviceConfig,
-});
-```
-
-- `start` opens the microphone stream and starts sending audio from the conversation to the user
-- `stop` closes the microphone and speaker streams
-- `status` is an enum that contains the status of the conversation, one of `idle`, `connecting`, `connected`, and `error`
-- `analyserNode` is an object (defined by the Web Audio API [here](https://developer.mozilla.org/en-US/docs/Web/API/AnalyserNode)) that allows for audio visualizations based on the audio output of the conversation
-
-### Self-hosted
-
-Our self-hosted backend allows you to expose a websocket route in the same format that our hosted backend does. This allows you to deploy any agent you'd to into the conversation.
-
-To get started, clone the Vocode repo or copy the [client backend app](https://github.com/vocodedev/vocode-python/tree/main/apps/client_backend) directory.
-
-#### Environment
-
-Copy the `.env.template` and add your API keys.
-
-```
-cp .env.template .env
-```
-
-You'll need:
-
-- [Deepgram](https://deepgram.com) (for speech transcription)
-- [OpenAI](https://platform.openai.com) (for the underlying agent)
-- [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/text-to-speech/) (for speech synthesis)
-
-```
-DEEPGRAM_API_KEY=
-OPENAI_API_KEY=
-AZURE_SPEECH_KEY=
-AZURE_SPEECH_REGION=
-```
-
-#### Running with Docker
-
-From the `client_backend` directory:
-
-```
-docker build -t vocode-client-backend .
-docker run --env-file=.env -p 3000:3000 -t vocode-client-backend
-```
-
-#### Running with Python
-
-```
-pip3 install vocode
-uvicorn main:app --port 3000
-```
-
-You now have a server with a Vocode websocket route at localhost:3000! You can now use the `useConversation` hook with your self-hosted backend as follows:
-
-```javascript
-const { status, start, stop, analyserNode } = useConversation({
-  backendUrl: "<YOUR_BACKEND_URL>", // looks like ws://localhost:3000/conversation or wss://asdf1234.ngrok.app/conversation if using ngrok
-  audioDeviceConfig: {},
-});
-```
-
-# Demo installation and setup
-
-Clone the `vocode-react-demo` [repository](https://github.com/vocodedev/vocode-react-demo).
-
-```
-$ git clone https://github.com/vocodedev/vocode-react-demo.git
-```
-
-Run npm install inside the directory to download all of the dependencies.
-
-```
-$ npm install
-```
-
-Set your Client SDK key inside of your `.env`
-
-```
-REACT_APP_VOCODE_API_KEY=YOUR KEY HERE
-```
-
-Start the application
-
-```
-$ npm start
-```
diff --git a/docs/retrieve-call-data.mdx b/docs/retrieve-call-data.mdx
new file mode 100644
index 0000000000..521f8c4e79
--- /dev/null
+++ b/docs/retrieve-call-data.mdx
@@ -0,0 +1,109 @@
+---
+title: "Retrieve Call Data"
+description: "Get information on in-progress and completed calls"
+---
+
+<Card
+  title="Call Objects"
+  icon="phone-missed"
+  iconType="duotone"
+  color="#ca8b04"
+>
+  With the Vocode API in-progress and completed calls are accessible as Call
+  objects.
+</Card>
+
+To list your call history:
+
+<CodeGroup>
+
+```python Python
+calls = vocode_client.calls.list_calls()
+```
+
+```javascript TypeScript
+const calls = await vocode.calls.listCalls();
+```
+
+```curl cURL
+curl --request GET \
+  --url https://api.vocode.dev/v1/calls/list \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+```
+
+</CodeGroup>
+
+The resulting list of Call objects is structured like this:
+
+```json
+[
+  {
+    id: 'call_id',
+    userId: 'user_id',
+    toNumber: '123456789',
+    fromNumber: '123456789',
+    agent: {
+      id: 'agent_id',
+      userId: 'user_id',
+      prompt: 'The assistant is having a pleasant conversation about life.',
+      actions: [],
+      voice: [Object],
+      initialMessage: undefined,
+      webhook: undefined
+    },
+    goal: undefined,
+    transcript: undefined,
+    recordingUrl: undefined,
+    status: 'ended',
+    errorMessage: undefined,
+    recordingAvailable: false
+  }
+]
+```
+
+## Get a specific call
+
+If you have a call ID, you can get the call object for that call.
+
+<CodeGroup>
+
+```python Python
+vocode_client.calls.get_call(id="CALL_ID")
+```
+
+```javascript TypeScript
+const calls = await vocode.calls.getCall({ id: "CALL_ID" });
+```
+
+```curl cURL
+curl --request GET \
+  --url https://api.vocode.dev/v1/calls/recording/<CALL_ID> \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+```
+
+</CodeGroup>
+
+## Download a call recording
+
+If you enabled call recording, you can download the call recording file.
+
+<CodeGroup>
+```python Python
+vocode_client.calls.get_recording(id="CALL_ID")
+```
+
+```javascript TypeScript
+const calls = await vocode.calls.listCalls();
+const recording = await vocode.calls.get_recording({ id: calls[0].id });
+```
+
+```curl cURL
+curl --request GET \
+  --url https://api.vocode.dev/v1/calls/recording/<CALL_ID> \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+```
+
+</CodeGroup>
diff --git a/docs/setting-up-number.mdx b/docs/setting-up-number.mdx
new file mode 100644
index 0000000000..33cda50723
--- /dev/null
+++ b/docs/setting-up-number.mdx
@@ -0,0 +1,79 @@
+---
+title: "Setting up your number"
+---
+
+We're going to start by getting a number that we can use for our receptionist. There are two ways to get numbers compatible
+with Vocode:
+
+1. Linking your own telephony provider via [BYO Telephony](/bring-your-own-telephony).
+2. Purchasing a number directly via Vocode telephony.
+
+If you're on the Free plan, you'll have to upgrade your account in order to either purchase numbers via Vocode telephony or
+to link your own Twilio account via [BYO Telephony](/bring-your-own-telephony).
+
+# Linking your own Twilio numbers
+
+You can link your own telephony account once you've upgraded your plan by following the
+documentation in [BYO Telephony](/bring-your-own-telephony). We'll quickly walk through the steps here for adding your own
+Twilio account.
+
+First, we're going to link our Twilio account via [Account Connections](/account-connections).
+
+```python
+account_connection = vocode_client.account_connections.create_account_connection(
+    request={
+        "type": "account_connection_twilio",
+        "credentials": {
+            "twilio_account_sid": os.getenv("TWILIO_ACCOUNT_SID"),
+            "twilio_auth_token": os.getenv("TWILIO_AUTH_TOKEN"),
+        },
+    }
+)
+```
+
+Now, once we have a phone number from our Twilio account, we can link it to Vocode using the link number functionality.
+
+```python
+number_to_link = "1123456789"
+print(
+    vocode_client.numbers.link_number(
+        phone_number=number_to_link,
+        telephony_account_connection=account_connection_id,
+    )
+)
+```
+
+# Buying a number
+
+You can use the `numbers/buy` endpoint to purchase numbers via Vocode telephony or via your own account connection. Here,
+we purchase one using Vocode telephony.
+
+<CodeGroup>
+
+```python Python
+phone_number = vocode_client.numbers.buy_number(BuyPhoneNumberRequest(area_code="415", telephony_provider="twilio"))
+```
+
+```typescript TypeScript
+const phoneNumber = await vocode.numbers.buyNumber();
+```
+
+</CodeGroup>
+
+You can specify which telephony provider you want to use, the current supported options are: `twilio` and `vonage`.
+
+You'll get a response that looks like:
+
+```json
+{
+  "id": "***",
+  "user_id": "***",
+  "number": "11234567890",
+  "inbound_agent": {...},
+  "telephony_provider": "twilio",
+  "telephony_account_connection": null,
+  ...
+}
+```
+
+Your phone number is now active! Let's start configuring the number to work as our receptionist.
diff --git a/docs/setting-up-webhook.mdx b/docs/setting-up-webhook.mdx
new file mode 100644
index 0000000000..2505729c5b
--- /dev/null
+++ b/docs/setting-up-webhook.mdx
@@ -0,0 +1,40 @@
+---
+title: "Setting up a webhook"
+---
+
+Now that we have our receptionist Agent configured, we want to set up an automation so that every time we
+receive a call, we can process the results once the call has ended.
+
+## Setting up our webhook
+
+We'll use the [Webhooks](/webhooks) feature on the Agent to configure our automations. First, let's create a
+webhook that posts to `"https://example.com"` every time a call ends.
+
+```python Python
+from vocode import AgentUpdateParams, EventType, HttpMethod, WebhookUpdateParams
+
+new_webhook = WebhookUpdateParams(
+    subscriptions=[EventType.EVENT_PHONE_CALL_ENDED],
+    url="https://example.com",
+    method=HttpMethod.POST,
+)
+```
+
+Now, we can add this to our Agent by using the `agent/update` endpoint like before:
+
+```python Python
+update_response = vocode_client.agents.update_agent(
+    id=agent_id,
+    request=AgentUpdateParams(
+        webhook=new_webhook.id
+    ),
+)
+```
+
+## Sample webhook server
+
+In order to process the result of our webhook, we can set up a simple endpoint to receive
+webhook messages from Vocode. [Webhook.site](https://webhook.site) makes it very easy to set up
+a sample endpoint.
+
+For a full list of webhook events and other capabilities, check out our guide on [Webhooks](/webhooks).
diff --git a/docs/synthesizer-reference.mdx b/docs/synthesizer-reference.mdx
deleted file mode 100644
index ef32257ce3..0000000000
--- a/docs/synthesizer-reference.mdx
+++ /dev/null
@@ -1,80 +0,0 @@
----
-title: "Synthesizer Reference"
-description: "🚧 Under construction"
----
-
-# `SynthesizerConfig`
-
-<ParamField body="sampling_rate" type="int">
-  placeholder
-</ParamField>
-<ParamField body="audio_encoding" type="AudioEncoding">
-  placeholder
-</ParamField>
-<ParamField body="should_encode_as_wav" type="bool ">
-  placeholder
-</ParamField>
-= False
-<ParamField body="sentiment_config" type="Optional[SentimentConfig] ">
-  placeholder
-</ParamField>
-
-# `AzureSynthesizerConfig`
-
-<ParamField body="voice_name" type="str">
-  placeholder
-</ParamField>
-<ParamField body="pitch" type="int">
-  placeholder
-</ParamField>
-<ParamField body="rate" type="int">
-  placeholder
-</ParamField>
-
-# `GoogleSynthesizerConfig`
-
-<ParamField body="language_code" type="str">
-  placeholder
-</ParamField>
-<ParamField body="voice_name" type="str">
-  placeholder
-</ParamField>
-<ParamField body="pitch" type="float">
-  placeholder
-</ParamField>
-<ParamField body="speaking_rate" type="float">
-  placeholder
-</ParamField>
-
-# `ElevenLabsSynthesizerConfig`
-
-<ParamField body="api_key" type="Optional[str]">
-  placeholder
-</ParamField>
-<ParamField body="voice_id" type="Optional[str]">
-  placeholder
-</ParamField>
-<ParamField body="stability" type="Optional[float]">
-  placeholder
-</ParamField>
-<ParamField body="similarity_boost" type="Optional[float]">
-  placeholder
-</ParamField>
-
-# `RimeSynthesizerConfig`
-
-<ParamField body="speaker" type="str">
-  placeholder
-</ParamField>
-
-# `PlayHtSynthesizerConfig`
-
-<ParamField body="voice_id" type="str">
-  placeholder
-</ParamField>
-<ParamField body="speed" type="Optional[str]">
-  placeholder
-</ParamField>
-<ParamField body="preset" type="Optional[str]">
-  placeholder
-</ParamField>
diff --git a/docs/telephony.mdx b/docs/telephony.mdx
deleted file mode 100644
index 67ab18b76b..0000000000
--- a/docs/telephony.mdx
+++ /dev/null
@@ -1,341 +0,0 @@
----
-title: "Working with phone calls"
-description: "How to use agents with inbound and outbound phone calls."
----
-
-# Overview
-
-Vocode supports using agents with inbound and outbound phone calls. Users
-can [create their own agents](/create-your-own-agent) and use them
-to fulfill a variety of use cases like information collection, appointment scheduling,
-sales, customer support, and more.
-
-In this guide, we'll go over how to do inbound and outbound phone calls both self-hosted
-and hosted.
-
-# Self-hosted
-
-## Requirements
-
-1. [Ngrok](https://ngrok.com/) (used to host the `TelephonyServer` locally)
-2. [ffmpeg](https://ffmpeg.org/)
-   a. If you have Homebrew installed, run `brew install ffmpeg`
-3. [Redis](https://redis.com/)
-   a. If you have Homebrew installed, run `brew install redis`
-4. (optional) [Docker](https://www.docker.com/)
-
-## Environments
-
-1. Copy the `.env.template` file and fill in the values of your API keys. You'll need to get API keys for:
-
-- [Deepgram](https://deepgram.com) (for speech transcription)
-- [OpenAI](https://platform.openai.com) (for the underlying agent)
-- [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/text-to-speech/) (for speech synthesis)
-- [Twilio](https://console.twilio.com/) (for telephony)
-
-```bash
-cp .env.template .env
-```
-
-2. Set up hosting so that Twilio can hit your server. An easy way to do this is `ngrok`: in our code we set it up to be running on port 3000, run:
-
-```
-ngrok http 3000
-```
-
-Copy the URL that is tunneling localhost:3000 to your `.env` without `https://`, e.g.
-
-```
-BASE_URL=asdf1234.ngrok.app
-```
-
-## Telephony Server
-
-The `TelephonyServer` is–as implied by the name–a server that is responsible for
-receiving and making phone calls.
-The server is built using FastAPI and utilizes Twilio for telephony services.
-
-Clone the Vocode repo or copy the [Telephony app](https://github.com/vocodedev/vocode-python/tree/main/apps/telephony_app) directory.
-
-### Running the server
-
-Pick one of these two ways to run the server: 1. Run everything with Docker, 2. Run Python directly
-
-#### Option 1: Run everything With Docker
-
-1. Build the telephony app Docker image. From the `telephony_app` directory, run:
-
-```bash
-docker build -t vocode-telephony-app .
-```
-
-2. Run the application using `docker-compose`. From the `telephony_app` directory, run:
-
-```bash
-docker-compose up
-```
-
-#### Option 2: Run Python directly
-
-Run the following steps from the `telephony_app` directory.
-
-1. Install [Poetry](https://python-poetry.org/) and install dependencies.
-
-```
-poetry install
-```
-
-2. Run Redis with the default port of 6379.
-
-For example, using Homebrew:
-
-```
-brew services start redis
-```
-
-Or if you prefer to use Docker for this part:
-
-```
-docker run -dp 6379:6379 -it redis/redis-stack:latest
-```
-
-3. Run the server with `uvicorn` (should be already installed in step 1).
-
-```
-poetry run uvicorn main:app --port 3000
-```
-
-### Setting up an inbound number
-
-1. Create a [Twilio](https://www.twilio.com/) account
-2. Once inside your dashboard, go to Phone Numbers -> Manage -> Buy a number to get a phone number.
-3. Then, go to Phone Numbers -> Manage -> Active Numbers and select the number you want to set up.
-4. Update the config to point the Webhook URL to `https://<YOUR BASE URL>/inbound_call` - if you're using `ngrok`, it looks like `https://asdf1234.ngrok.app/inbound_call`
-
-![Setup](/images/twilio_number_config.png)
-
-5. Hit **Save** and call the number!
-
-### Executing outbound calls
-
-Make sure the server we just set up is already running. Then, in `outbound_call.py`
-
-Replace the `to_phone` with the number you want to call and the `from_phone` with the number you want to call from. In order to make a call from the `from_phone`, you must have access to it via Twilio (either a number purchased via Twilio or verify the caller ID).
-
-> Note: To ensure legal compliance with robocall regulations in California, the following code snippet from the [Vocode library](https://github.com/vocodedev/vocode-python/blob/main/vocode/streaming/telephony/conversation/outbound_call.py#L83-L96) utilizes Twilio Line Intelligence to check if calls are made to mobile phones: For Canadian phone numbers, the Twilio Lookup API may not return carrier data due to the Canadian Local Number Portability Consortium (CLNPC) requirements. More information on this issue can be found in the [Twilio Support Article](https://support.twilio.com/hc/en-us/articles/360004563433-Twilio-Lookup-API-is-Not-Returning-Carrier-Data-for-Canadian-Phone-Numbers).
-
-Run the script with `poetry run python outbound_call.py`.
-
-### Configuration
-
-Both the `OutboundCall` (in `outbound_call.py`) and `InboundCallConfig` (in `telephony_app.py`) classes can accept a `TranscriberConfig`, `AgentConfig`
-or `SynthesizerConfig` - the default transcriber is Deepgram and the default synthesizer is Azure.
-
-This example sets up an agent that spells every word that is sent to it - any text-in, text-out function can be turned into a voice conversation by subclassing `BaseAgent` and creating an `AgentFactory`.
-
-```
-class SpellerAgentConfig(AgentConfig, type="agent_speller"):
-    pass
-
-
-class SpellerAgent(BaseAgent):
-    def __init__(self, agent_config: SpellerAgentConfig):
-        super().__init__(agent_config=agent_config)
-
-    async def respond(
-        self,
-        human_input,
-        conversation_id: str,
-        is_interrupt: bool = False,
-    ) -> Tuple[Optional[str], bool]:
-        return "".join(c + " " for c in human_input), False
-
-
-class SpellerAgentFactory(AgentFactory):
-    def create_agent(self, agent_config: AgentConfig) -> BaseAgent:
-        return SpellerAgent(agent_config=agent_config)
-```
-
-An `AgentFactory` instance is passed into the `TelephonyServer` in `telephony_app.py`.
-
-We provide a small set of agents with already created `AgentConfig`s, including, importantly, one that sets up ChatGPT with a configured prompt: see our `Python Quickstart` for more info.
-
-#### Accessing call information in your agent
-
-We store the `to` and `from` numbers in the [`ConfigManager`](https://github.com/vocodedev/vocode-python-sdk/blob/b37bf7a1172a917b641d0e70ba14756415e09b0b/apps/telephony_app/main.py#L20) - so
-if you'd like to access them in your agent, you can instantiate the manager to hook into the same Redis instance:
-
-```
-class SpellerAgent(BaseAgent):
-    def __init__(self, agent_config: SpellerAgentConfig):
-        super().__init__(agent_config=agent_config)
-        self.config_manager = RedisConfigManager()
-
-    async def respond(
-        self,
-        human_input,
-        conversation_id: str,
-        is_interrupt: bool = False,
-    ) -> Tuple[Optional[str], bool]:
-        call_config = self.config_manager.get_config(conversation_id)
-        if call_config is not None:
-            from_phone = call_config.twilio_from
-            to_phone = call_config.twilio_to
-        return "".join(c + " " for c in human_input), False
-```
-
-# Hosted
-
-## Authentication
-
-Head to our [dashboard](https://app.vocode.dev) to get an API key.
-
-To use your API key, set the API key on the module as follows:
-
-```python
-import vocode
-vocode.api_key = '{YOUR_API_KEY}'
-```
-
-## Outbound Calls
-
-The `OutboundCall` class provides a simple abstraction for creating outbound calls.
-
-### OutboundCall Class
-
-<ParamField path="recipient" type="CallEntity" required={true}>
-  The recipient entity for the phone call.
-</ParamField>
-
-<ParamField path="caller" type="CallEntity" required={true}>
-  The caller entity for the phone call.
-</ParamField>
-
-<ParamField path="agent_config" type="AgentConfig" required={true}>
-  The configuration for the AI agent.
-</ParamField>
-
-### Example: Making an outbound call
-
-Prior to running this script to initiate an outbound call, you still need the `TelephonyServer` from above to be running.
-
-```python
-import os
-from vocode.streaming.telephony.hosted.outbound_call import OutboundCall
-from vocode.streaming.models.agent import ChatGPTAgentConfig
-from vocode.streaming.models.telephony import CallEntity, TwilioConfig
-from vocode.streaming.models.message import BaseMessage
-
-import vocode
-vocode.api_key = '{YOUR_API_KEY}'
-
-
-if __name__ == '__main__':
-    call = OutboundCall(
-        recipient=CallEntity(
-            phone_number="+12345678900",
-        ),
-        caller=CallEntity(
-            phone_number="+12345678900",
-        ),
-        agent_config=ChatGPTAgentConfig(
-            initial_message=BaseMessage(text="Hello!"),
-            prompt_preamble="Have a pleasant conversation about life",
-        ),
-        twilio_config=TwilioConfig(
-            account_sid=os.getenv("TWILIO_ACCOUNT_SID"),
-            auth_token=os.getenv("TWILIO_AUTH_TOKEN"),
-        )
-    )
-    call.start()
-    input("Press enter to end the call...")
-    call.end()
-```
-
-### How outbound calls work
-
-Here's what happens under the hood for an outbound call.
-
-The `OutboundCall` calls Twilio to initiate the call, giving it a URL to call after the call is initiated:
-
-```
-        twilio_call = self.twilio_client.calls.create(
-            url=f"https://{self.base_url}/twiml/initiate_call/{self.conversation_id}",
-```
-
-In your main.py you create and start a `TelephonyServer`. The TelephonyServer itself includes a couple of routers:
-
-- `TwiMLRouter`
-- `CallsRouter`
-
-`TwiMLRouter` includes the matching route:
-
-```
-        self.router.add_api_route(
-            "/twiml/initiate_call/{id}", self.call_twiml, methods=["POST"]
-        )
-```
-
-This route returns the template `connect_call.xml` which uses TwiML to tell Twilio to establish a websocket with a given URL:
-
-```
-<?xml version="1.0" encoding="UTF-8"?>
-<Response>
-  <Connect>
-    <Stream url="wss://{{ base_url }}/connect_call/{{ id }}" />
-  </Connect>
-</Response>
-```
-
-CallsRouter includes that second route:
-
-```
- self.router.websocket("/connect_call/{id}")(self.connect_call)
-```
-
-This is where we get the websocket connection. We then create the `Call` object and start it:
-
-```
-await call.attach_ws_and_start(websocket)
-```
-
-The `Call` is a kind of `StreamingConversation` that manages the various pieces: transcriber, synthesizer, agent, etc.
-
-## Inbound Calls
-
-The `InboundCallServer` class provides a simple abstraction to create an endpoint that can host your agent
-to respond to inbound calls. In order to implement an inbound call agent, start by defining an `InboundCallServer`
-like so:
-
-```python
-from vocode.streaming.telephony.hosted.inbound_call_server import InboundCallServer
-from vocode.streaming.models.agent import EchoAgentConfig
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.telephony import TwilioConfig
-
-if __name__ == '__main__':
-    server = InboundCallServer(
-        agent_config=EchoAgentConfig(initial_message=BaseMessage(text="hello!")),
-        twilio_config=TwilioConfig(
-            account_sid=os.getenv("TWILIO_ACCOUNT_SID"),
-            auth_token=os.getenv("TWILIO_AUTH_TOKEN"),
-        )
-    )
-    server.run(port=3000)
-```
-
-This spins up a FastAPI web server with a `/vocode` route that returns a TwiML object that we will need in the next
-step. If you're using our [Replit template](https://replit.com/@vocode/Inbound-Call-Server), this is already set up for you!
-
-Next, we'll set up a programmable phone number on Twilio that can accept the TwiML object from
-above. To do this,
-
-1. Create a [Twilio](https://www.twilio.com/) account
-2. Find your Twilio credentials: this is found on under _Account Info_ in the dashboard.
-   > Tip: if you already have existing Twilio integrations, set up the number in a [subaccount](https://support.twilio.com/hc/en-us/articles/360011132374-Getting-Started-with-Twilio-Accounts-and-Subaccounts)
-3. Set up `TWILIO_ACCOUNT_SID` and `TWILIO_AUTH_TOKEN` in your environment. If you're using Replit, use [Replit secrets](https://docs.replit.com/programming-ide/workspace-features/storing-sensitive-information-environment-variables). Otherwise, packages like [python-dotenv](https://pypi.org/project/python-dotenv/) are useful for this.
-4. Once inside your dashboard, go to Phone Numbers -> Manage -> Buy a number to get a phone number.
-5. Then, go to Phone Numbers -> Manage -> Active Numbers and select the number you want to set up.
-6. Update the config to point the Webhook URL to the `/vocode` route we just set up. [ngrok](https://ngrok.com/) one option to quickly to host the server.
-   > If you're using the Replit template, use the provided hosted URL that looks something like `https://<repl>.<username>.repl.co/vocode`
-7. Hit **Save** and call the number!
diff --git a/docs/tracing.mdx b/docs/tracing.mdx
deleted file mode 100644
index 537e328857..0000000000
--- a/docs/tracing.mdx
+++ /dev/null
@@ -1,95 +0,0 @@
----
-title: "Tracing"
-description: "Time components of your Vocode conversations"
----
-
-# [Beta] Benchmarking script
-
-The benchmarking script is located at `playground/streaming/benchmark.py`. You can execute the benchmarking script using the CLI which will enable you to evaluate and compare
-transcribers, agents, and synthesizers. You can use it primarily to benchmark latency – but it can also be used to compare the quality of the different providers as well. The
-feature is in Beta and will continue to be improved upon – feel free to open an issue with any ideas.
-
-### Using the CLI
-
-To access the options of the benchmarking script, run
-
-```bash
-python playground/streaming/benchmark.py --help
-```
-
-This will display all available options.
-
-To conduct multiple trials and get averaged results, you can control `num_cycles`
-
-```bash
---{transcriber,agent,synthesizer}_num_cycles 3  # component specific
---all_num_cycles 3                              # all components
-```
-
-To perform a comprehensive test across all supported transcribers, agents, and synthesizers, use the `--all` command.
-
-With the CLI, you can get the raw output, write them to a file, and create graphs.
-To access your results and visualize them, they will be stored in the `benchmark_results` directory by default. You can also change this location using the `--results_dir` and `--results_file` options. If you want to create visual graphs, add the `--create_graphs` option when running your test.
-
-#### Example: comparing synthesizers
-
-To compare different synthesizers, use the `--synthesizers` flag followed by the names of the synthesizers you wish to compare. For instance,
-
-```bash
-python playground/streaming/benchmark.py --synthesizers Google Azure --synthesizer_text "Your text here"
-```
-
-#### Example: comparing transcribers
-
-To compare different transcribers, you can use the `--transcribers` flag followed by the names of the transcribers you wish to compare. For example,
-
-```bash
-python playground/streaming/benchmark.py --transcribers deepgram assemblyai --transcriber_audio sample.wav
-```
-
-You can specify `transcriber_use_mic` instead of `--transcriber_audio` to use your microphone as the audio source.
-
-#### Example: comparing agents
-
-To compare different agents, use the `--agents` flag followed by the names of the agents you want to compare. For example,
-
-```bash
-python playground/streaming/benchmark.py --agents openai anthropic
-```
-
-You can set the prompt preamble with the `--agent_prompt_preamble` argument and the first input with the `--agent_first_input` option.
-
-# Tracing your application
-
-At the top of `quickstarts/streaming_conversation.py`, include the following code:
-
-```python
-from opentelemetry import trace
-from opentelemetry.sdk.trace import TracerProvider
-from opentelemetry.sdk.trace.export import SimpleSpanProcessor, SpanExporter
-from opentelemetry.sdk.resources import Resource
-
-
-class PrintDurationSpanExporter(SpanExporter):
-    def __init__(self):
-        super().__init__()
-        self.spans = defaultdict(list)
-
-    def export(self, spans):
-        for span in spans:
-            duration_ns = span.end_time - span.start_time
-            duration_s = duration_ns / 1e9
-            self.spans[span.name].append(duration_s)
-
-    def shutdown(self):
-        for name, durations in self.spans.items():
-            print(f"{name}: {sum(durations) / len(durations)}")
-
-
-trace.set_tracer_provider(TracerProvider(resource=Resource.create({})))
-trace.get_tracer_provider().add_span_processor(
-    SimpleSpanProcessor(PrintDurationSpanExporter())
-)
-```
-
-This will print out stats about the conversation after it ends.
diff --git a/docs/transcriber-reference.mdx b/docs/transcriber-reference.mdx
deleted file mode 100644
index 112b66a893..0000000000
--- a/docs/transcriber-reference.mdx
+++ /dev/null
@@ -1,85 +0,0 @@
----
-title: "Transcriber Reference"
-description: "🚧 Under construction"
----
-
-# `TranscriberConfig`
-
-<ParamField body="sampling_rate" type="int">
-  The sampling rate of the audio in samples per second (Hz). A higher sampling
-  rate provides better audio quality but may increase processing time and data
-  size.
-</ParamField>
-<ParamField body="audio_encoding" type="AudioEncoding">
-  The encoding format of the audio data. Options include: LINEAR16, MULAW.
-</ParamField>
-<ParamField body="chunk_size" type="int">
-  The size of each chunk of audio data sent to the transcriber, in bytes. A
-  larger chunk size can reduce network overhead but may increase latency.
-</ParamField>
-<ParamField body="endpointing_config" type="Optional[EndpointingConfig]">
-  Optional configuration for endpointing, which determines when to split the
-  transcript based on criteria such as time or punctuation. If not provided, the
-  default endpointing behavior will be used.
-</ParamField>
-<ParamField body="min_interrupt_confidence" type="Optional[float]">
-  Optional minimum confidence threshold for interrupting the transcription.
-  Confidence values range from 0 to 1, with higher values indicating greater
-  confidence. If provided, transcriptions will only be interrupted when the
-  confidence exceeds the threshold. If not provided, the default interrupting
-  behavior will be used.
-</ParamField>
-
-The `TranscriberConfig` class provides helper methods to abstract away some fields to the user.
-
-For example, when using an input device like `MicrophoneInput`, you can use:
-
-```
-TranscriberConfig.from_input_device(MicrophoneInput())
-```
-
-You can also do this for telephone calls, which all share the same sampling rate, chunk size and audio encoding:
-
-```
-TranscriberConfig.from_telephone_input_device()
-```
-
-# `DeepgramTranscriberConfig`
-
-<ParamField body="language" type="Optional[str]">
-  The language code for the transcription, e.g., 'en-US' for American English.
-  If not provided, the default language will be used.
-</ParamField>
-<ParamField body="model" type="Optional[str]">
-  The model used for transcription. For Deepgram, it can be 'phonecall',
-  'voicemail'.
-</ParamField>
-<ParamField body="tier" type="Optional[str]">
-  The tier of the Deepgram API to use for the transcription, e.g., 'enhanced'.
-  If not provided, the default tier will be used.
-</ParamField>
-<ParamField body="version" type="Optional[str]">
-  The version of the Deepgram API to use for the transcription. If not provided,
-  the latest version will be used.
-</ParamField>
-<ParamField body="keywords" type="Optional[list]">
-  A list of keywords to be used for keyword spotting during transcription with
-  the Deepgram API. If not provided, no keyword spotting will be performed.
-</ParamField>
-
-# `GoogleTranscriberConfig`
-
-<ParamField body="language_code" type="str">
-  The language code for the transcription, e.g., 'en-US' for American English.
-  Defaults to 'en-US'.
-</ParamField>
-<ParamField body="model" type="Optional[str]">
-  The model used for transcription. For Google, it can be 'default', 'video', or
-  'phone_call'. If not provided, the default model will be used.
-</ParamField>
-
-# `AssemblyAITranscriberConfig`
-
-# `WhisperCPPTranscriberConfig`
-
-# `RevAITranscriberConfig`
diff --git a/docs/turn-based-conversation.mdx b/docs/turn-based-conversation.mdx
deleted file mode 100644
index 18177ba936..0000000000
--- a/docs/turn-based-conversation.mdx
+++ /dev/null
@@ -1,83 +0,0 @@
----
-title: "Turn-based conversation"
-description: "How to use Vocode in non-streaming applications"
----
-
-## Overview
-
-A turn-based conversation is a communication system designed for applications where the user utters a single statement, and the agent is expected to respond fully.
-This model differs from streaming conversations that try to mimic natural human discourse. Instead, it fits applications triggered by some kind of user input.
-For example, consider a voice memo application where the user records a message, and the agent generates a complete response.
-
-A turn-based conversation system is perfect for applications that don't require real-time responses or constant back-and-forths.
-This design reduces complexity and allows for a more controlled conversation flow. Each user input is treated as a discrete event,
-giving the system time to generate and deliver a full and meaningful response.
-
-## Turn-based quickstart
-
-The code can be found [here](https://github.com/vocodedev/vocode-python/blob/main/quickstarts/turn_based_conversation.py)
-
-```python
-import logging
-from dotenv import load_dotenv
-from vocode import getenv
-from vocode.helpers import create_turn_based_microphone_input_and_speaker_output
-from vocode.turn_based.agent.chat_gpt_agent import ChatGPTAgent
-from vocode.turn_based.synthesizer.azure_synthesizer import AzureSynthesizer
-from vocode.turn_based.synthesizer.eleven_labs_synthesizer import ElevenLabsSynthesizer
-from vocode.turn_based.transcriber.whisper_transcriber import WhisperTranscriber
-from vocode.turn_based.turn_based_conversation import TurnBasedConversation
-
-logging.basicConfig()
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.INFO)
-
-load_dotenv()
-
-# See https://api.elevenlabs.io/v1/voices
-ADAM_VOICE_ID = "pNInz6obpgDQGcFmaJgB"
-
-if __name__ == "__main__":
-    (
-        microphone_input,
-        speaker_output,
-    ) = create_turn_based_microphone_input_and_speaker_output(use_default_devices=False)
-
-    conversation = TurnBasedConversation(
-        input_device=microphone_input,
-        output_device=speaker_output,
-        transcriber=WhisperTranscriber(api_key=getenv("OPENAI_API_KEY")),
-        agent=ChatGPTAgent(
-            system_prompt="The AI is having a pleasant conversation about life",
-            initial_message="Hello!",
-            api_key=getenv("OPENAI_API_KEY"),
-        ),
-        synthesizer=AzureSynthesizer(
-            api_key=getenv("AZURE_SPEECH_KEY"),
-            region=getenv("AZURE_SPEECH_REGION"),
-            voice_name="en-US-SteffanNeural",
-        ),
-        logger=logger,
-    )
-    print("Starting conversation. Press Ctrl+C to exit.")
-    while True:
-        try:
-            input("Press enter to start recording...")
-            conversation.start_speech()
-            input("Press enter to end recording...")
-            conversation.end_speech_and_respond()
-        except KeyboardInterrupt:
-            break
-```
-
-This example demonstrates a turn-based conversation, using a ChatGPT agent for text generation, WhisperTranscriber for speech-to-text,
-and AzureSynthesizer for text-to-speech. User interactions trigger the beginning and end of the recording, signaling the system when to listen and when to respond.
-
-Remember to replace OPENAI_API_KEY and AZURE_SPEECH_KEY with your actual API keys and set the appropriate Azure region.
-You can also customize the voice, system prompt, and initial message as needed.
-
-## React turn-based quickstart
-
-🚧 Under construction
-
-If you want to work on a sample react app for this, reach out to us!
diff --git a/docs/update_open_api_docs.sh b/docs/update_open_api_docs.sh
new file mode 100755
index 0000000000..3f4ea1f28a
--- /dev/null
+++ b/docs/update_open_api_docs.sh
@@ -0,0 +1,4 @@
+FILE=./openapi.json
+curl https://api.vocode.dev/openapi.json -o $FILE
+npx prettier $FILE --write
+npx mintlify dev
diff --git a/docs/using-actions.mdx b/docs/using-actions.mdx
new file mode 100644
index 0000000000..cb063495d0
--- /dev/null
+++ b/docs/using-actions.mdx
@@ -0,0 +1,216 @@
+---
+title: "Using actions"
+description: "Make agents on your phone calls take actions"
+---
+
+Vocode agents can decide to take actions synchronously during calls. See [Phrase Triggers](/phrase-triggers) for information on how to configure how these actions are triggered. Below is the list of actions that an agent can perform:
+
+#### EndConversation
+
+`EndConversation` allows the agent to end the call, e.g. if the user says "Goodbye!"
+
+  <CodeGroup>
+
+```python Python
+vocode_client.actions.create_action(
+  request={
+      "type": "action_end_conversation",
+  }
+)
+```
+
+```typescript TypeScript
+const number = await vocode.actions.createAction({
+  type: "action_end_conversation",
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/actions/create \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "type": "action_end_conversation"
+}'
+```
+
+</CodeGroup>
+
+#### DTMF
+
+`DTMF` allows the agent to hit dial tones during a call, e.g. navigating a phone tree
+
+  <CodeGroup>
+
+```python Python
+vocode_client.actions.create_action(
+  request={
+      "type":"action_dtmf",
+  }
+)
+```
+
+```typescript TypeScript
+const number = await vocode.actions.createAction({
+  type: "action_dtmf",
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/actions/create \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "type": "action_dtmf"
+}'
+```
+
+</CodeGroup>
+
+#### TransferCall
+
+`TransferCall` allows the agent to transfer the call to another phone number
+
+  <CodeGroup>
+
+```python Python
+vocode_client.actions.create_action(
+  request={
+      "type":"action_transfer_call",
+      "config":{
+          "phone_number":"11234567890"
+      }
+  }
+)
+```
+
+```typescript TypeScript
+const number = await vocode.actions.createAction({
+  type: "action_transfer_call",
+  config: {
+    phoneNumber: "11234567890",
+  },
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/actions/create \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "type": "action_transfer_call",
+  "config": {
+    "phone_number": "11234567890"
+  }
+}'
+```
+
+</CodeGroup>
+
+You can attach these as IDs to your phone number agent as follows:
+
+  <CodeGroup>
+
+```python Python
+from vocode import AgentUpdateParams
+
+vocode_client.numbers.update_number(
+  phone_number="11234567890",
+  inbound_agent=AgentUpdateParams(
+      actions=["<ACTION UUID>"]
+  )
+)
+```
+
+```typescript TypeScript
+vocode.numbers.updateNumber({
+  phoneNumber: "11234567890",
+  inboundAgent: {
+    actions: ["<ACTION UUID>"],
+  },
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/numbers/update?phone_number=11234567890 \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "inbound_agent": {
+    "actions": ["<ACTION UUID>"]
+  }
+}'
+```
+
+</CodeGroup>
+
+You can also add these as actions as raw payloads as follows:
+
+  <CodeGroup>
+
+```python Python
+from vocode import AgentUpdateParams, TransferCallActionUpdateParams
+
+vocode_client.numbers.update_number(
+  phone_number="11234567890",
+  inbound_agent=AgentUpdateParams(
+      actions=[TransferCallActionUpdateParams(
+          type="action_transfer_call",
+          config={
+              "phone_number":"11234567890"
+          }
+      )]
+  )
+)
+```
+
+```typescript TypeScript
+vocode.numbers.updateNumber({
+  phoneNumber: "11234567890",
+  inboundAgent: {
+    actions: [
+      {
+        type: "action_transfer_call",
+        config: {
+          phoneNumber: "11234567890",
+        },
+      },
+    ],
+  },
+});
+```
+
+```bash cURL
+curl --request POST \
+  --url https://api.vocode.dev/v1/numbers/update?phone_number=11234567890 \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer <API_KEY>'
+  --data '{
+  "inbound_agent": {
+    "actions": [{
+      "type": "action_transfer_call",
+      "config": {
+          "phone_number": "11234567890"
+      }
+    }]
+  }
+}'
+```
+
+</CodeGroup>
+
+#### [Beta] ExternalAction
+
+`ExternalAction` allows your agent communicate with an External API and include the response as context in the conversation.
+
+See [External Actions](/external-actions).
+
+#### [Beta] Warm Transfer
+
+Allows your agent to conference in another party into the call.
+
+See [Warm Transfer](/warm-transfer).
diff --git a/docs/using-synthesizers.mdx b/docs/using-synthesizers.mdx
deleted file mode 100644
index 99c51eaee7..0000000000
--- a/docs/using-synthesizers.mdx
+++ /dev/null
@@ -1,88 +0,0 @@
----
-title: "Using synthesizers"
-description: "How to control the voice of your application."
----
-
-# Overview
-
-Synthesizers are used to convert text into speech; this guide will show you how to configure and use synthesizers in Vocode.
-
-## Supported Synthesizers
-
-Vocode currently supports the following synthesizers:
-
-1. Azure (Microsoft)
-2. Google
-3. Eleven Labs
-4. Rime
-5. Play.ht
-6. Coqui TTS
-7. GTTS (Google Text-to-Speech)
-8. Stream Elements
-9. Bark
-
-These synthesizers are defined using their respective configuration classes, which are subclasses of the `SynthesizerConfig` class.
-
-# Configuring Synthesizers
-
-To use a synthesizer, you need to create a configuration object for the synthesizer you want to use. Here are some examples of how to create configuration objects for different synthesizers:
-
-### Example 1: Using Eleven Labs with a phone call
-
-```python
-from vocode.streaming.telephony.hosted.inbound_call_server import InboundCallServer
-from vocode.streaming.models.synthesizer import ElevenLabsSynthesizerConfig
-
-server = InboundCallServer(
-    ...
-    synthesizer_config=ElevenLabsSynthesizerConfig.from_telephone_output_device(
-        api_key=os.getenv("ELEVENLABS_API_KEY"),
-        voice_id=os.getenv("YOUR VOICE ID")
-    )
-    ...
-)
-```
-
-In this example, the `ElevenLabsSynthesizerConfig.from_telephone_output_device()` method is used to create a configuration object for the Eleven Labs synthesizer.
-The method hardcodes some values like the `sampling_rate` and `audio_encoding` for compatibility with telephone output devices.
-
-### Example 2: Using Azure in StreamingConversation locally
-
-```python
-from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
-from vocode.helpers import create_microphone_input_and_speaker_output
-
-microphone_input, speaker_output = create_microphone_input_and_speaker_output(
-        streaming=True, use_default_devices=False
-)
-
-conversation = StreamingConversation(
-    ...
-    synthesizer=AzureSynthesizer(
-        AzureSynthesizerConfig.from_output_device(speaker_output)
-    ),
-    ...
-)
-```
-
-In this example, the `AzureSynthesizerConfig.from_output_device()` method is used to create a configuration object for the Azure synthesizer.
-The method takes a `speaker_output` object as an argument, and extracts the `sampling_rate` and `audio_encoding` from the output device.
-
-## When to Use Configs vs. Synthesizer Objects
-
-- For everything except `StreamingConversation`, you must use configuration objects.
-- For `StreamingConversation`, you can use the actual synthesizer object, but you still need to initialize it with a configuration object.
-
-## Synthesizer Comparisons
-
-| Provider          | Latency | Voice Cloning | Natural Sounding | Notes       |
-| ----------------- | ------- | ------------- | ---------------- | ----------- |
-| Azure (Microsoft) | Low     | No            |                  |             |
-| Google            | Low     | No            |                  |             |
-| Eleven Labs       | High    | Yes           |                  |             |
-| Rime              | Low     | No            |                  |             |
-| Play.ht           | High    | Yes           |                  |             |
-| Coqui TTS         |         |               |                  | Open source |
-| GTTS              |         |               |                  |             |
-| Stream Elements   |         |               |                  |             |
-| Bark              |         |               |                  |             |
diff --git a/docs/vectordb.mdx b/docs/vectordb.mdx
new file mode 100644
index 0000000000..382a8e3c94
--- /dev/null
+++ b/docs/vectordb.mdx
@@ -0,0 +1,117 @@
+---
+title: "[Beta] Vector databases"
+description: "Give your agents knowledge via embeddings"
+---
+
+## Introduction
+
+For many practical use cases it may be necessary to give bots information; but, due to limited
+context windows, there may not be enough room in the prompt. Thus, Vocode allows you to plug into
+vector databases that contain embeddings.
+
+Each time the bot receives a message, it can query for the most similar embeddings; these embeddings will
+be shown to the agent to guide its responses.
+
+Currently, we support [Pinecone](https://www.pinecone.io/). Under the hood, we use an approach similar
+to LangChain to store the documents in Pinecone. Each vector in Pinecone must have two pieces of metadata
+to be compatible with Vocode:
+
+- `text`: The text that will be shown to the agent.
+- `source`: The name of the document where the text comes from. This could be the title of an article,
+  for example.
+
+## Connecting to Pinecone
+
+To add your vector database to your agent, you need to add a vector database config to your agent:
+
+<CodeGroup>
+
+```python update_agent.py
+from vocode import AgentUpdateParams, PineconeVectorDatabaseUpdateParams
+
+agent = vocode_client.agents.update_agent(
+    id="AGENT_ID",
+    request=AgentUpdateParams(
+        vector_database=PineconeVectorDatabaseUpdateParams(
+            type="vector_database_pinecone",
+            index="PINECONE_INDEX",
+            api_key="PINECONE_API_KEY",
+            api_environment="PINECONE_API_ENVIRONMENT",
+        )
+    ),
+)
+```
+
+```javascript updateAgent.js
+const agent = await vocode.agents.updateAgent({
+  id: "AGENT_ID",
+  body: {
+    vector_database: {
+      type: "vector_database_pinecone",
+      index: "PINECONE_INDEX",
+      api_key: "PINECONE_API_KEY",
+      api_environment: "PINECONE_API_ENVIRONMENTr",
+    },
+  },
+});
+
+main();
+```
+
+</CodeGroup>
+
+Now your agent will query the vector database for each user message.
+
+## Document loading script
+
+You can manaully add documents to Pinecone any way you like as long as you include the required metadata.
+If you have a folder of PDFs, docx files, text files, etc. that you want to add to pinecone, you can use
+the below script which uses [Unstructured](https://github.com/Unstructured-IO/unstructured) to parse
+many kinds of files types, extract the text, and add it to pinecone.
+
+The script was tested with these package versions:
+
+```
+python = "^3.10"
+langchain = "^0.0.237"
+spacy = "^3.6.0"
+unstructured = {extras = ["local-inference"], version = "^0.8.1"}
+layoutparser = {extras = ["layoutmodels", "tesseract"], version = "^0.3.4"}
+pinecone-client = "^2.2.2"
+openai = "^0.27.8"
+torch = ">=2.0.0, !=2.0.1"
+tiktoken = "^0.4.0"
+```
+
+```python
+import os
+import pinecone
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.text_splitter import SpacyTextSplitter
+from langchain.vectorstores import Pinecone
+from langchain.document_loaders import DirectoryLoader, UnstructuredFileLoader
+
+PINECONE_API_KEY = os.environ["PINECONE_API_KEY"]
+PINECONE_ENVIRONMENT = os.environ["PINECONE_ENVIRONMENT"]
+OPENAI_API_KEY = os.environ["OPENAI_API_KEY"]
+
+
+loader = DirectoryLoader('./docs', glob="**/*.*", show_progress=True, loader_cls=UnstructuredFileLoader)
+print("Loading documents...")
+documents = loader.load()
+text_splitter = SpacyTextSplitter(chunk_size=1000)
+print("Splitting documents...")
+docs = text_splitter.split_documents(documents)
+
+embeddings = OpenAIEmbeddings()
+
+pinecone.init(
+    api_key=PINECONE_API_KEY,
+    environment=PINECONE_ENVIRONMENT,
+)
+
+index_name = "your_index_name"
+
+print("Creating index...")
+docsearch = Pinecone.from_documents(docs, embeddings, index_name=index_name)
+```
diff --git a/docs/voices.mdx b/docs/voices.mdx
new file mode 100644
index 0000000000..ea7ecdd2a8
--- /dev/null
+++ b/docs/voices.mdx
@@ -0,0 +1,73 @@
+---
+title: "Voices"
+description: "Make your agents sound the way you want them to"
+---
+
+# Voice Basics
+
+Vocode supports several different TTS models, giving you maximum flexibility and control
+over the voice of your agents. Our current list of supported model providers is:
+
+- [Play.ht](https://play.ht)
+- [ElevenLabs](https://elevenlabs.io)
+- [Rime](https://rime.ai)
+- [Azure](https://azure.com)
+
+## [Coming Soon] Vocode curated voices
+
+Choosing a voice isn't easy, so the Vocode team has curated a list of voices that we think are the best
+across the different providers and use cases.
+
+We also are compatible with any stock voice from our provider list. You can reach us on Slack and we can add it to our
+voice list.
+
+## Voice clones
+
+For enterprise customers, we can add cloned voices on a case-by-case basis. Please reach out to us on Slack if you'd like
+to explore custom cloned voices.
+
+## Setting up new voices
+
+### Play.ht voice
+
+```python
+voice = vocode_client.voices.create_voice(
+    request={
+        "type": "voice_play_ht",
+        "voice_id": "voice_id",
+        "version": "2",
+    },
+)
+```
+
+### ElevenLabs voice
+
+```python
+voice = vocode_client.voices.create_voice(
+    request={
+        "type": "voice_eleven_labs",
+        "voice_id": "06oPEcZqPWhZ2IeTcOJc",
+        "stability": ".2",
+        "similarity_boost": ".75",
+        "model_id": "eleven_turbo_v2",
+        "optimize_streaming_latency": "4",
+    }
+)
+```
+
+### Rime voice
+
+```python
+voice = vocode_client.voices.create_voice(
+    request={
+        "type": "voice_rime",
+        "speaker": "amber",
+        "model_id": "mist",
+    },
+)
+```
+
+### [Legacy] BYO TTS
+
+In previous versions of Vocode, we allowed customers to bring their own TTS accounts
+but we are no longer supporting this as of April 2024.
diff --git a/docs/walkthrough_intro.mdx b/docs/walkthrough_intro.mdx
new file mode 100644
index 0000000000..3e65904e9d
--- /dev/null
+++ b/docs/walkthrough_intro.mdx
@@ -0,0 +1,20 @@
+---
+title: "Intro"
+description: "Setting up a simple receptionist agent"
+---
+
+Welcome to the Vocode API! We've got a lot of powerful features that we're going to illustrate
+by setting up a receptionist agent that can take calls and book calendar appointments.
+
+We'll cover how to do it step-by-step entirely via API or you could also follow along using our
+[Dashboard](https://dashboard.vocode.dev).
+
+In particular, we'll go through the following steps:
+
+1. Setting up a phone number
+2. Configuring the number with an inbound agent
+3. Modifying the agent prompt, voice, and actions
+4. Setting up a webhook to listen to call updates
+5. Retrieving call data via API
+
+Let's start with setting up our phone number.
diff --git a/docs/warm-transfer.mdx b/docs/warm-transfer.mdx
new file mode 100644
index 0000000000..15c7eed1cf
--- /dev/null
+++ b/docs/warm-transfer.mdx
@@ -0,0 +1,81 @@
+---
+title: "[Beta] Warm Transfer"
+description: "Conference another party into an outbound call"
+---
+
+This guide will walk you through how to configure a Vocode agent to perform the following on an outbound call:
+
+1. Place the primary participant of the call on hold
+2. Dial another party into the same call and interact with the agent while the primary participant is on hold
+3. Remove the primary participant from hold to speak with the other party
+
+Note: the warm transfer feature is not yet available for inbound calls, and is only available with Twilio phone numbers.
+
+# BYOT Setup
+
+In order to use this feature on [your Twilio account](/bring-your-own-telephony), extra setup is required. In particular, you'll have to allocate some phone numbers on your account to a **steering pool**. To conduct warm transfers, numbers from this pool are momentarily used to set up the conference call. As such, the size of the pool affects the number of concurrent warm transfers you can perform. When all of the numbers in the pool are in use, the Vocode API will throw a 429 error.
+
+Note: setting up the pool will cause inflight calls to fail — make sure to configure this when calls aren't running.
+
+Using your Twilio account connection (see the guide on [BYOT](/bring-your-own-telephony)), you can configure the steering pool as follows:
+
+```python
+vocode_client.account_connections.add_to_steering_pool(
+    id="<YOUR TWILIO ACCOUNT CONNECTION ID>",
+)
+```
+
+This operation will buy a phone number on your Twilio account and set it up to be used for warm transfers. You can also link an existing phone number on your Twilio account to the steering pool:
+
+```python
+vocode_client.account_connections.add_to_steering_pool(
+    id="<YOUR TWILIO ACCOUNT CONNECTION ID>",
+    phone_number="<YOUR TWILIO PHONE NUMBER>",
+)
+```
+
+# Configuring your agent to execute warm transfers
+
+To use warm transfers, you'll need to add the `SetHold` and `AddToConference` actions to your agent - this allows the agent to:
+
+- Conference in another party and place the original participant on hold
+- Bring the original participant off of hold back into the call
+
+Here's an example agent configuration, which uses [phrase triggers](/phrase-triggers):
+
+```python
+vocode_client.agents.update_agent(
+    actions=[
+        {
+            "type": "action_set_hold",
+            "config": {},
+            "action_trigger": {
+                "type": "action_trigger_phrase_based",
+                "config": {
+                    "phrase_triggers": [
+                        {
+                            "phrase": "Removing participant from hold",
+                            "conditions": ["phrase_condition_type_contains"],
+                        }
+                    ]
+                },
+            },
+        },
+        {
+            "type": "action_add_to_conference",
+            "config": {"phone_number": "{transfer_phone_number}"},
+            "action_trigger": {
+                "type": "action_trigger_phrase_based",
+                "config": {
+                    "phrase_triggers": [
+                        {
+                            "phrase": "I connect you now please hold",
+                            "conditions": ["phrase_condition_type_contains"],
+                        }
+                    ]
+                },
+            },
+        },
+    ]
+)
+```
diff --git a/docs/webhooks.mdx b/docs/webhooks.mdx
new file mode 100644
index 0000000000..20ce37e07d
--- /dev/null
+++ b/docs/webhooks.mdx
@@ -0,0 +1,60 @@
+---
+title: "Webhooks"
+description: "Listen to events on your phone calls and set up automations"
+---
+
+You can set up webhooks on agents so that you can
+listen to events in realtime or for post-call automation.
+
+## Adding Webhooks
+
+To get data from the agent during a call, you can add a webhook and assign it to listen for specific events.
+Let's send a POST request to "https://example.com" every time a call ends.
+
+<CodeGroup>
+
+```python Python
+from vocode import AgentUpdateParams, EventType, HttpMethod, WebhookUpdateParams
+
+new_webhook = WebhookUpdateParams(
+    subscriptions=[EventType.EVENT_PHONE_CALL_ENDED],
+    url="https://example.com",
+    method=HttpMethod.POST,
+)
+
+number = vocode_client.numbers.update_number(
+    phone_number="YOUR_NUMBER",
+    inbound_agent=AgentUpdateParams(
+        webhook=new_webhook,
+    ),
+)
+```
+
+```javascript TypeScript
+import { EventType, HttpMethod } from "@vocode/vocode-api/api";
+
+const number = await vocode.numbers.updateNumber({
+  phoneNumber: "YOUR_NUMBER",
+  inboundAgent: {
+    webhook: {
+      subscriptions: [EventType.EventPhoneCallConnected],
+      url: "https://example.com",
+      method: HttpMethod.Post,
+    },
+  },
+});
+```
+
+</CodeGroup>
+
+## EventTypes
+
+The full list of `EventType` is listed here:
+
+- `EVENT_MESSAGE`: A message in the conversation.
+- `EVENT_ACTION`: An action taken during the conversation.
+- `EVENT_PHONE_CALL_CONNECTED`: Indicating the phone call has connected.
+- `EVENT_PHONE_CALL_ENDED`: Indicating the phone call has ended.
+- `EVENT_TRANSCRIPT`: The transcription of the entire conversation.
+- `EVENT_RECORDING`: The recording of the conversation has become available.
+- `EVENT_HUMAN_DETECTION`: Indicating whether a human or a machine has picked up the phone.
diff --git a/docs/welcome.mdx b/docs/welcome.mdx
index e4d283b297..1c60a3b4a7 100644
--- a/docs/welcome.mdx
+++ b/docs/welcome.mdx
@@ -1,7 +1,7 @@
 ---
 title: "Vocode"
 sidebarTitle: "Welcome"
-description: "Vocode is an open-source library for building voice-based LLM applications."
+description: "Vocode is an open-source library for building voice Agents."
 ---
 
 ## Introduction
@@ -15,101 +15,31 @@ to answer/make phone calls, act as personal assistants, join Zoom meetings, and
 - Integrations to all of the best speech-to-text/text-to-speech providers
 - Cross-platform support (telephony, web, Zoom)
 
-## Demos
+## Hosted Service
 
-<CardGroup>
-  <Card
-    title="Call Gen-Z GPT"
-    icon="phone"
-    href="tel:1-650-910-3957"
-    color="#5865F2"
-  >
-    Hang out with Zephyr, the Gen-Z queen. Collab with rime.ai.
-  </Card>
-  <Card
-    title="PrankGPT"
-    icon="face-sunglasses"
-    href="https://prankgpt.com"
-    color="#fbbf24"
-  >
-    Prank call your friends with an AI that can say anything.
-  </Card>
-  <Card
-    title="YCInterview.ai"
-    icon="clipboard"
-    color="#deb887"
-    href="https://twitter.com/vocodehq/status/1642935433276555265?s=20"
-  >
-    Conduct a mock YC interview entirely done via AI.
-  </Card>
-  <Card
-    title="Check out our Replit page"
-    icon={
-      <svg
-        className="h-6 w-6"
-        style={{ display: "inline" }}
-        width="32"
-        height="32"
-        viewBox="0 0 32 32"
-        fill="none"
-        xmlns="http://www.w3.org/2000/svg"
-      >
-        {" "}
-        <defs></defs>{" "}
-        <path
-          d="M7 5.5C7 4.67157 7.67157 4 8.5 4H15.5C16.3284 4 17 4.67157 17 5.5V12H8.5C7.67157 12 7 11.3284 7 10.5V5.5Z"
-          fill="#F26207"
-        ></path> <path
-          d="M17 12H25.5C26.3284 12 27 12.6716 27 13.5V18.5C27 19.3284 26.3284 20 25.5 20H17V12Z"
-          fill="#F26207"
-        ></path>{" "}
-        <path
-          d="M7 21.5C7 20.6716 7.67157 20 8.5 20H17V26.5C17 27.3284 16.3284 28 15.5 28H8.5C7.67157 28 7 27.3284 7 26.5V21.5Z"
-          fill="#F26207"
-        ></path>
-      </svg>
-    }
-    href="https://replit.com/@vocode"
-  >
-    View the source for all of our demos and templates for quickstarts.
-  </Card>
-</CardGroup>
+The Vocode hosted service allows you to automate inbound/outbound calls via API. Users can program agents to
+execute arbitrary tasks and leverage our integrations, or build their own.
 
-## Start Developing
+It is built with maximum developer flexibility in mind so you can embed an AI call center directly in your product or
+operations flows. Get started with the [Hosted Service](/hosted-quickstart).
 
-<CardGroup>
-  <Card title="Quick Start" icon="circle-play" href="/python-quickstart">
-    Quickly get up and running with Vocode by following our Python quick start
-    guide.
-  </Card>
-  <Card title="Vocode 101" icon="info" href="/what-is-vocode">
-    Learn the basics of what Vocode does, how it works, and how it can help you.
-  </Card>
-</CardGroup>
+## Open Source Library
 
-### <span><svg style={{display: "inline"}} width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg"> <defs></defs> <path    d="M7 5.5C7 4.67157 7.67157 4 8.5 4H15.5C16.3284 4 17 4.67157 17 5.5V12H8.5C7.67157 12 7 11.3284 7 10.5V5.5Z"    fill="#F26207"  ></path> <path    d="M17 12H25.5C26.3284 12 27 12.6716 27 13.5V18.5C27 19.3284 26.3284 20 25.5 20H17V12Z"    fill="#F26207"  ></path> <path    d="M7 21.5C7 20.6716 7.67157 20 8.5 20H17V26.5C17 27.3284 16.3284 28 15.5 28H8.5C7.67157 28 7 27.3284 7 26.5V21.5Z"    fill="#F26207"  ></path></svg> Replit Templates</span>
+Most of what we build is open source and free to use! Leverage all of the features mentioned in the introduction by taking a look
+at our open source repos. Get started with [Open Source](/open-source-quickstarts).
+
+## Quickstarts
 
 <CardGroup>
-  <Card
-    title="Phone Call Server"
-    icon="phone"
-    href="https://replit.com/@vocode/Self-hosted-Telephony-Server"
-  >
-    Spin up a phone number with ChatGPT on the other end.
-  </Card>
-  <Card
-    title="React Conversation"
-    icon="browser"
-    href="https://replit.com/@vocode/Simple-Conversation"
-  >
-    Create a website that you can talk to.
+  <Card title="Hosted Quick Start" icon="circle-play" href="/hosted-quickstart">
+    Start using the hosted telephony service.
   </Card>
   <Card
-    title="LangChain Agent"
-    icon="browser"
-    href="https://replit.com/@vocode/LangChain-Agent"
+    title="Open Source Quick Starts"
+    icon="circle-play"
+    href="/open-source-quickstarts"
   >
-    Use Vocode as a tool to call someone in the real world.
+    Run Vocode self hosted.
   </Card>
 </CardGroup>
 
diff --git a/playground/streaming/agent/chat.py b/playground/streaming/agent/chat.py
index 546054f1a1..dfcede2dec 100644
--- a/playground/streaming/agent/chat.py
+++ b/playground/streaming/agent/chat.py
@@ -1,88 +1,118 @@
 import asyncio
+import random
 import typing
+
 from dotenv import load_dotenv
-from playground.streaming.tracing_utils import make_parser_and_maybe_trace
-from pydantic import BaseModel
+from pydantic.v1 import BaseModel
+
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
 from vocode.streaming.action.base_action import BaseAction
-from vocode.streaming.action.factory import ActionFactory
 from vocode.streaming.action.worker import ActionsWorker
 from vocode.streaming.models.actions import (
     ActionConfig,
     ActionInput,
     ActionOutput,
-    ActionType,
+    EndOfTurn,
+    PhraseBasedActionTrigger,
+    PhraseBasedActionTriggerConfig,
+    PhraseTrigger,
 )
 from vocode.streaming.models.agent import ChatGPTAgentConfig
+from vocode.streaming.models.message import BaseMessage
 from vocode.streaming.models.transcript import Transcript
-from vocode.streaming.utils.state_manager import ConversationStateManager
-from vocode.streaming.utils.worker import InterruptibleAgentResponseEvent
+from vocode.streaming.utils.state_manager import AbstractConversationStateManager
+from vocode.streaming.utils.worker import InterruptibleAgentResponseEvent, QueueConsumer
 
 load_dotenv()
 
 from vocode.streaming.agent import ChatGPTAgent
 from vocode.streaming.agent.base_agent import (
-    BaseAgent,
+    AgentResponse,
     AgentResponseMessage,
     AgentResponseType,
+    BaseAgent,
     TranscriptionAgentInput,
 )
-
-from vocode.streaming.transcriber.base_transcriber import Transcription
+from vocode.streaming.models.transcriber import Transcription
 from vocode.streaming.utils import create_conversation_id
 
+BACKCHANNELS = ["Got it", "Sure", "Okay", "I understand"]
+
 
 class ShoutActionConfig(ActionConfig, type="shout"):  # type: ignore
     num_exclamation_marks: int
 
 
 class ShoutActionParameters(BaseModel):
-    name: str
+    pass
 
 
 class ShoutActionResponse(BaseModel):
     success: bool
 
 
-class ShoutAction(
-    BaseAction[ShoutActionConfig, ShoutActionParameters, ShoutActionResponse]
-):
+class ShoutAction(BaseAction[ShoutActionConfig, ShoutActionParameters, ShoutActionResponse]):
     description: str = "Shouts someone's name"
     parameters_type: typing.Type[ShoutActionParameters] = ShoutActionParameters
     response_type: typing.Type[ShoutActionResponse] = ShoutActionResponse
 
     async def run(
-        self, action_input: ActionInput[ShoutActionParameters]
+        self,
+        action_input: ActionInput[ShoutActionParameters],
     ) -> ActionOutput[ShoutActionResponse]:
-        print(
-            f"HI THERE {action_input.params.name}{self.action_config.num_exclamation_marks * '!'}"
-        )
+        print(f"HI THERE {self.action_config.num_exclamation_marks * '!'}")
         return ActionOutput(
             action_type=self.action_config.type,
             response=ShoutActionResponse(success=True),
         )
 
 
-class ShoutActionFactory(ActionFactory):
+class ShoutActionFactory(AbstractActionFactory):
     def create_action(self, action_config: ActionConfig) -> BaseAction:
         if isinstance(action_config, ShoutActionConfig):
-            return ShoutAction(action_config, should_respond=True)
+            return ShoutAction(action_config, should_respond="always")
         else:
             raise Exception("Invalid action type")
 
 
-class DummyConversationManager(ConversationStateManager):
-    pass
+class DummyConversationManager(AbstractConversationStateManager):
+    """For use with Agents operating in a non-call context."""
+
+    def __init__(
+        self,
+        using_input_streaming_synthesizer: bool = False,
+    ):
+        self._using_input_streaming_synthesizer = using_input_streaming_synthesizer
+        self._conversation_id = create_conversation_id()
+
+    def using_input_streaming_synthesizer(self):
+        return self._using_input_streaming_synthesizer
 
+    def get_conversation_id(self):
+        return self._conversation_id
 
-async def run_agent(agent: BaseAgent):
+
+async def run_agent(
+    agent: BaseAgent, interruption_probability: float, backchannel_probability: float
+):
     ended = False
     conversation_id = create_conversation_id()
+    agent_response_queue: asyncio.Queue[InterruptibleAgentResponseEvent[AgentResponse]] = (
+        asyncio.Queue()
+    )
+    agent_consumer = QueueConsumer(input_queue=agent_response_queue)
+    agent.agent_responses_consumer = agent_consumer
 
     async def receiver():
         nonlocal ended
+
+        assert agent.transcript is not None
+
+        ignore_until_end_of_turn = False
+
         while not ended:
             try:
-                event = await agent.get_output_queue().get()
+                event = await agent_response_queue.get()
                 response = event.payload
                 if response.type == AgentResponseType.FILLER_AUDIO:
                     print("Would have sent filler audio")
@@ -93,17 +123,48 @@ async def receiver():
                 elif response.type == AgentResponseType.MESSAGE:
                     agent_response = typing.cast(AgentResponseMessage, response)
 
-                    agent.transcript.add_bot_message(
-                        agent_response.message.text, conversation_id
-                    )
-                    print(
-                        "AI: "
-                        + typing.cast(AgentResponseMessage, response).message.text
-                    )
+                    if isinstance(agent_response.message, EndOfTurn):
+                        ignore_until_end_of_turn = False
+                        if random.random() < backchannel_probability:
+                            backchannel = random.choice(BACKCHANNELS)
+                            print("Human: " + f"[{backchannel}]")
+                            agent.transcript.add_human_message(
+                                backchannel,
+                                conversation_id,
+                                is_backchannel=True,
+                            )
+                    elif isinstance(agent_response.message, BaseMessage):
+                        if ignore_until_end_of_turn:
+                            continue
+
+                        message_sent: str
+                        is_final: bool
+                        # TODO: consider allowing the user to interrupt the agent manually by responding fast
+                        if random.random() < interruption_probability:
+                            stop_idx = random.randint(0, len(agent_response.message.text))
+                            message_sent = agent_response.message.text[:stop_idx]
+                            ignore_until_end_of_turn = True
+                            is_final = False
+                        else:
+                            message_sent = agent_response.message.text
+                            is_final = True
+
+                        agent.transcript.add_bot_message(
+                            message_sent, conversation_id, is_final=is_final
+                        )
+
+                        print("AI: " + message_sent + ("-" if not is_final else ""))
             except asyncio.CancelledError:
                 break
 
     async def sender():
+        if agent.agent_config.initial_message is not None:
+            agent.agent_responses_consumer.consume_nonblocking(
+                InterruptibleAgentResponseEvent(
+                    payload=AgentResponseMessage(message=agent.agent_config.initial_message),
+                    agent_response_tracker=asyncio.Event(),
+                )
+            )
         while not ended:
             try:
                 message = await asyncio.get_event_loop().run_in_executor(
@@ -116,6 +177,8 @@ async def sender():
                                 message=message, confidence=1.0, is_final=True
                             ),
                             conversation_id=conversation_id,
+                            twilio_sid="0",
+                            vonage_uuid=None,
                         )
                     )
                 )
@@ -125,18 +188,16 @@ async def sender():
     actions_worker = None
     if isinstance(agent, ChatGPTAgent):
         actions_worker = ActionsWorker(
-            input_queue=agent.actions_queue,
-            output_queue=agent.get_input_queue(),
             action_factory=agent.action_factory,
         )
-        actions_worker.attach_conversation_state_manager(
-            agent.conversation_state_manager
-        )
+        actions_worker.consumer = agent
+        agent.actions_consumer = actions_worker
+        actions_worker.attach_conversation_state_manager(agent.conversation_state_manager)
         actions_worker.start()
 
     await asyncio.gather(receiver(), sender())
     if actions_worker is not None:
-        actions_worker.terminate()
+        await actions_worker.terminate()
 
 
 async def agent_main():
@@ -144,32 +205,36 @@ async def agent_main():
     # Replace with your agent!
     agent = ChatGPTAgent(
         ChatGPTAgentConfig(
-            prompt_preamble="have a conversation",
+            prompt_preamble="Have a conversation",
+            initial_message=BaseMessage(text="Is this Ajay?"),
             actions=[
-                ShoutActionConfig(num_exclamation_marks=3),
+                ShoutActionConfig(
+                    num_exclamation_marks=3,
+                    action_trigger=PhraseBasedActionTrigger(
+                        type="action_trigger_phrase_based",
+                        config=PhraseBasedActionTriggerConfig(
+                            phrase_triggers=[
+                                PhraseTrigger(
+                                    phrase="shout",
+                                    conditions=["phrase_condition_type_contains"],
+                                ),
+                            ],
+                        ),
+                    ),
+                ),
             ],
         ),
         action_factory=ShoutActionFactory(),
     )
-    agent.attach_conversation_state_manager(DummyConversationManager(conversation=None))
+    agent.attach_conversation_state_manager(DummyConversationManager())
     agent.attach_transcript(transcript)
-    if agent.agent_config.initial_message is not None:
-        agent.output_queue.put_nowait(
-            InterruptibleAgentResponseEvent(
-                payload=AgentResponseMessage(
-                    message=agent.agent_config.initial_message
-                ),
-                agent_response_tracker=asyncio.Event(),
-            )
-        )
     agent.start()
 
     try:
-        await run_agent(agent)
+        await run_agent(agent, interruption_probability=0, backchannel_probability=0)
     except KeyboardInterrupt:
-        agent.terminate()
+        await agent.terminate()
 
 
 if __name__ == "__main__":
-    make_parser_and_maybe_trace()
     asyncio.run(agent_main())
diff --git a/playground/streaming/agent/restful_user_implemented_agent.py b/playground/streaming/agent/restful_user_implemented_agent.py
index d5d36402a8..d8af0c9769 100644
--- a/playground/streaming/agent/restful_user_implemented_agent.py
+++ b/playground/streaming/agent/restful_user_implemented_agent.py
@@ -1,6 +1,7 @@
 # type: ignore
 
 from typing import Generator, Optional, Tuple
+
 from vocode.streaming.models.agent import RESTfulAgentOutput, RESTfulAgentText
 from vocode.streaming.user_implemented_agent.restful_agent import RESTfulAgent
 
diff --git a/playground/streaming/agent/websocket_user_implemented_agent.py b/playground/streaming/agent/websocket_user_implemented_agent.py
index 157a5aa0c8..1f6ce1805a 100644
--- a/playground/streaming/agent/websocket_user_implemented_agent.py
+++ b/playground/streaming/agent/websocket_user_implemented_agent.py
@@ -1,5 +1,6 @@
 import asyncio
-from websockets.server import serve
+
+from websockets.asyncio.server import serve
 
 from vocode.streaming.models.websocket_agent import (
     WebSocketAgentMessage,
diff --git a/playground/streaming/benchmark.py b/playground/streaming/benchmark.py
deleted file mode 100644
index 2717a2af37..0000000000
--- a/playground/streaming/benchmark.py
+++ /dev/null
@@ -1,569 +0,0 @@
-from collections import defaultdict
-import os
-import re
-import json
-import argparse
-import asyncio
-import logging
-from tqdm import tqdm
-import sounddevice as sd
-from opentelemetry import trace, metrics
-from opentelemetry.sdk.metrics import MeterProvider
-from opentelemetry.sdk.trace import TracerProvider
-from opentelemetry.sdk.trace.export import SimpleSpanProcessor
-from opentelemetry.sdk.metrics.export import (
-    InMemoryMetricReader,
-)
-from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
-from opentelemetry.sdk.resources import Resource
-from vocode.streaming.agent.base_agent import TranscriptionAgentInput
-from vocode.streaming.agent.vertex_ai_agent import ChatVertexAIAgent
-from vocode.streaming.input_device.file_input_device import FileInputDevice
-from vocode.streaming.agent import ChatGPTAgent, ChatAnthropicAgent
-from vocode.streaming.input_device.microphone_input import MicrophoneInput
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.agent import (
-    AzureOpenAIConfig,
-    ChatGPTAgentConfig,
-    ChatAnthropicAgentConfig,
-    ChatVertexAIAgentConfig,
-)
-from vocode.streaming.models.synthesizer import (
-    AzureSynthesizerConfig,
-    BarkSynthesizerConfig,
-    CoquiSynthesizerConfig,
-    CoquiTTSSynthesizerConfig,
-    ElevenLabsSynthesizerConfig,
-    GTTSSynthesizerConfig,
-    GoogleSynthesizerConfig,
-    PlayHtSynthesizerConfig,
-    RimeSynthesizerConfig,
-    StreamElementsSynthesizerConfig,
-)
-from vocode.streaming.models.transcriber import (
-    DeepgramTranscriberConfig,
-    AssemblyAITranscriberConfig,
-    PunctuationEndpointingConfig,
-)
-from vocode.streaming.models.transcript import Transcript
-from vocode.streaming.output_device.file_output_device import FileOutputDevice
-from vocode.streaming.synthesizer import (
-    AzureSynthesizer,
-    BarkSynthesizer,
-    CoquiSynthesizer,
-    CoquiTTSSynthesizer,
-    ElevenLabsSynthesizer,
-    GTTSSynthesizer,
-    GoogleSynthesizer,
-    PlayHtSynthesizer,
-    RimeSynthesizer,
-    StreamElementsSynthesizer,
-)
-from vocode.streaming.transcriber import DeepgramTranscriber, AssemblyAITranscriber
-from vocode.streaming.transcriber.base_transcriber import Transcription
-from vocode.streaming.utils import get_chunk_size_per_second, remove_non_letters_digits
-from vocode.streaming.utils.worker import InterruptibleEvent
-from playground.streaming.tracing_utils import get_final_metrics
-
-logger = logging.getLogger(__name__)
-logging.basicConfig()
-
-logger.setLevel(logging.DEBUG)
-tracer = trace.get_tracer(__name__)
-meter = metrics.get_meter(__name__)
-
-
-# Create the parser
-parser = argparse.ArgumentParser(
-    description="Benchmark Vocode's transcribers, agents, and synthesizers.\n"
-    + "Example usage: python playground/streaming/benchmark.py --all --all_num_cycles 3 --create_graphs"
-)
-
-synthesizer_classes = {
-    "elevenlabs": (ElevenLabsSynthesizer, ElevenLabsSynthesizerConfig),
-    "azure": (AzureSynthesizer, AzureSynthesizerConfig),
-    "bark": (BarkSynthesizer, BarkSynthesizerConfig),
-    # "coqui": (CoquiSynthesizer, CoquiSynthesizerConfig),
-    # "coquitts": (CoquiTTSSynthesizer, CoquiTTSSynthesizerConfig),
-    "google": (GoogleSynthesizer, GoogleSynthesizerConfig),
-    "gtts": (GTTSSynthesizer, GTTSSynthesizerConfig),
-    "playht": (PlayHtSynthesizer, PlayHtSynthesizerConfig),
-    "rime": (RimeSynthesizer, RimeSynthesizerConfig),
-    "streamelements": (StreamElementsSynthesizer, StreamElementsSynthesizerConfig),
-}
-
-
-# These synthesizers stream output so they need to be traced within this file.
-STREAMING_SYNTHESIZERS = ["azure", "elevenlabs"]
-
-
-TRANSCRIBER_CHOICES = ["deepgram", "assemblyai"]
-AGENT_CHOICES = [
-    "gpt_gpt-3.5-turbo",
-    "gpt_gpt-4",
-    "azuregpt_gpt-35-turbo",
-    "anthropic_claude-v1",
-    "anthropic_claude-instant-v1",
-    "vertex_ai_chat-bison@001",
-]
-SYNTHESIZER_CHOICES = list(synthesizer_classes)
-
-parser.add_argument(
-    "--transcribers",
-    type=str,
-    nargs="*",
-    default=[],
-    choices=TRANSCRIBER_CHOICES + ["all"],
-    help="The list of transcribers to benchmark",
-)
-parser.add_argument(
-    "--agents",
-    type=str,
-    nargs="*",
-    default=[],
-    choices=AGENT_CHOICES + ["all"],
-    help="The list of agents to benchmark. Each agent should be of the form <company>_<model_name>.",
-)
-parser.add_argument(
-    "--synthesizers",
-    type=str,
-    nargs="*",
-    default=[],
-    choices=SYNTHESIZER_CHOICES + ["all"],
-    help="The list of synthesizers to benchmark",
-)
-parser.add_argument(
-    "--transcriber_audio",
-    type=str,
-    default="playground/streaming/test.wav",
-    help="Path to the audio file to transcribe",
-)
-parser.add_argument(
-    "--transcriber_use_mic",
-    action="store_true",
-    help="Use the microphone as the input device for the transcriber. "
-    + "Overrides --transcriber_audio. Be silent for ≈5 seconds to end transcription.",
-)
-parser.add_argument(
-    "--synthesizer_text",
-    type=str,
-    default="Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it, “and what is the use of a book,” thought Alice “without pictures or conversations?”",
-    help="The text for synthesizers to synthesize",
-)
-parser.add_argument(
-    "--agent_prompt_preamble",
-    type=str,
-    default="The AI is having a very short and pleasant conversation about life",
-    help="The prompt preamble to use for the agent",
-)
-parser.add_argument(
-    "--agent_first_input",
-    type=str,
-    default="What is the meaning of life?",
-    help="The initial message sent to the agent (this is a transcribed sentence that the agent should respond to).",
-)
-parser.add_argument(
-    "--no_generate_responses",
-    action="store_true",
-    help="Disable streaming generated responses for agents",
-)
-parser.add_argument(
-    "--transcriber_num_cycles",
-    type=int,
-    default=1,
-    help="The number of transcriber runs to perform. Results are averaged over the runs.",
-)
-parser.add_argument(
-    "--synthesizer_num_cycles",
-    type=int,
-    default=1,
-    help="The number of synthesizer runs to perform. Results are averaged over the runs.",
-)
-parser.add_argument(
-    "--all_num_cycles",
-    type=int,
-    default=None,
-    help="The number of transcriber, agent, and synthesizer runs to perform. Overrides all other num_cycle arguments.",
-)
-parser.add_argument(
-    "--agent_num_cycles",
-    type=int,
-    default=1,
-    help="The number of agent runs to perform. Results are averaged over the runs.",
-)
-parser.add_argument(
-    "--all",
-    action="store_true",
-    help="Run all supported transcribers, agents, and synthesizers. Ignores other arguments.",
-)
-parser.add_argument(
-    "--create_graphs",
-    action="store_true",
-    help="Create graphs from the benchmark results. Requires matplotlib.",
-)
-parser.add_argument(
-    "--just_graphs",
-    action="store_true",
-    help="Skips computing statistics. Loads the last saved benchmark result "
-    + "JSON file and creates graphs from it.",
-)
-parser.add_argument(
-    "--results_file",
-    type=str,
-    default="benchmark_results.json",
-    help="The file to save the benchmark JSON results to",
-)
-parser.add_argument(
-    "--results_dir",
-    type=str,
-    default="benchmark_results",
-    help="The directory to save the text-to-speech output and JSON results to",
-)
-args = parser.parse_args()
-if args.all:
-    print("--all is set! Running all supported transcribers, agents, and synthesizers.")
-    args.transcribers = TRANSCRIBER_CHOICES
-    args.agents = AGENT_CHOICES
-    args.synthesizers = SYNTHESIZER_CHOICES
-
-if "all" in args.transcribers:
-    args.transcribers = TRANSCRIBER_CHOICES
-if "all" in args.agents:
-    args.agents = AGENT_CHOICES
-if "all" in args.synthesizers:
-    args.synthesizers = SYNTHESIZER_CHOICES
-
-if args.all_num_cycles is not None:
-    args.transcriber_num_cycles = args.all_num_cycles
-    args.agent_num_cycles = args.all_num_cycles
-    args.synthesizer_num_cycles = args.all_num_cycles
-
-if args.create_graphs or args.just_graphs:
-    try:
-        import matplotlib.pyplot as plt
-    except ImportError:
-        print(
-            "ERROR: The --create_graphs flag requires matplotlib. Please "
-            + "install matplotlib and try again."
-        )
-        exit(1)
-
-if args.just_graphs:
-    print(
-        "--just_graphs is set! Skipping computing statistics and instead "
-        + "generating graphs from the last saved benchmark result JSON file."
-    )
-
-should_generate_responses = not args.no_generate_responses
-
-os.makedirs(args.results_dir, exist_ok=True)
-
-
-def get_transcriber(transcriber_name, file_input):
-    if transcriber_name == "deepgram":
-        transcriber = DeepgramTranscriber(
-            DeepgramTranscriberConfig.from_input_device(
-                file_input,
-                endpointing_config=PunctuationEndpointingConfig(),
-            )
-        )
-    elif transcriber_name == "assemblyai":
-        transcriber = AssemblyAITranscriber(
-            AssemblyAITranscriberConfig.from_input_device(
-                file_input,
-            )
-        )
-    return transcriber
-
-
-trace.set_tracer_provider(TracerProvider(resource=Resource.create({})))
-span_exporter = InMemorySpanExporter()
-trace.get_tracer_provider().add_span_processor(SimpleSpanProcessor(span_exporter))  # type: ignore
-
-reader = InMemoryMetricReader()
-provider = MeterProvider(metric_readers=[reader])
-metrics.set_meter_provider(provider)
-
-
-async def run_agents():
-    for agent_name in tqdm(args.agents, desc="Agents"):
-        company, model_name = agent_name.rsplit("_", 1)
-        length_meter = meter.create_counter(
-            remove_non_letters_digits(
-                f"agent.agent_chat_{company}-{model_name}.total_characters"
-            ),
-        )
-        for _ in tqdm(range(args.agent_num_cycles), desc="Agent Cycles"):
-            if company == "gpt":
-                agent = ChatGPTAgent(
-                    ChatGPTAgentConfig(
-                        initial_message=None,
-                        prompt_preamble=args.agent_prompt_preamble,
-                        allow_agent_to_be_cut_off=False,
-                        model_name=model_name,
-                        generate_responses=should_generate_responses,
-                    )
-                )
-            elif company == "azuregpt":
-                agent = ChatGPTAgent(
-                    ChatGPTAgentConfig(
-                        initial_message=None,
-                        prompt_preamble=args.agent_prompt_preamble,
-                        allow_agent_to_be_cut_off=False,
-                        azure_params=AzureOpenAIConfig(engine=model_name),
-                        generate_responses=should_generate_responses,
-                    )
-                )
-            elif company == "anthropic":
-                agent = ChatAnthropicAgent(
-                    ChatAnthropicAgentConfig(
-                        initial_message=None,
-                        allow_agent_to_be_cut_off=False,
-                        model_name=model_name,
-                        generate_responses=should_generate_responses,
-                    )
-                )
-            elif company == "vertex_ai":
-                agent = ChatVertexAIAgent(
-                    ChatVertexAIAgentConfig(
-                        initial_message=None,
-                        prompt_preamble=args.agent_prompt_preamble,
-                        allow_agent_to_be_cut_off=False,
-                        model_name=model_name,
-                        generate_responses=False,
-                    )
-                )
-            agent.attach_transcript(Transcript())
-            agent_task = agent.start()
-            message = TranscriptionAgentInput(
-                transcription=Transcription(
-                    message=args.agent_first_input, confidence=1.0, is_final=True
-                ),
-                conversation_id=0,
-            )
-            agent.consume_nonblocking(
-                agent.interruptible_event_factory.create_interruptible_event(message)
-            )
-
-            while True:
-                try:
-                    message = await asyncio.wait_for(
-                        agent.output_queue.get(), timeout=15
-                    )
-                    length_meter.add(len(message.payload.message.text))
-                    logger.debug(
-                        f"[Agent: {agent_name}] Response from API: {message.payload.message.text}"
-                    )
-                except asyncio.TimeoutError:
-                    logger.debug(
-                        f"[Agent: {agent_name}] Agent queue is empty, stopping..."
-                    )
-                    break
-
-
-async def run_synthesizers():
-    def create_file_output_device(synthesizer_name, extra_info=""):
-        return FileOutputDevice(
-            os.path.join(args.results_dir, f"{synthesizer_name}{extra_info}.wav"),
-        )
-
-    for synthesizer_cycle_idx in tqdm(
-        range(args.synthesizer_num_cycles), desc="Synthesizer Cycles"
-    ):
-        for synthesizer_name in args.synthesizers:
-            file_output = create_file_output_device(
-                synthesizer_name, f"-run={synthesizer_cycle_idx}"
-            )
-            synthesizer_class, synthesizer_config_class = synthesizer_classes[
-                synthesizer_name
-            ]
-            extra_config = {}
-            if synthesizer_name == "playht":
-                extra_config["voice_id"] = "larry"
-            elif synthesizer_name == "rime":
-                extra_config["speaker"] = "young_male_unmarked-1"
-            synthesizer = synthesizer_class(
-                synthesizer_config_class.from_output_device(file_output, **extra_config)
-            )
-
-            chunk_size = get_chunk_size_per_second(
-                synthesizer.get_synthesizer_config().audio_encoding,
-                synthesizer.get_synthesizer_config().sampling_rate,
-            )
-
-            current_synthesizer_is_streaming = (
-                synthesizer_name in STREAMING_SYNTHESIZERS
-            )
-            if current_synthesizer_is_streaming:
-                total_synthesis_span = tracer.start_span(
-                    f"synthesizer.{synthesizer_name}.create_total"
-                )
-                first_synthesis_span = tracer.start_span(
-                    f"synthesizer.{synthesizer_name}.create_first"
-                )
-
-            try:
-                synthesis_result = await synthesizer.create_speech(
-                    message=BaseMessage(text=args.synthesizer_text),
-                    chunk_size=chunk_size,
-                )
-            except asyncio.TimeoutError:
-                logger.error(
-                    f"[Synthesizer: {synthesizer_name}] Timed out while synthesizing. Skipping {synthesizer_name}..."
-                )
-                continue
-            except Exception as e:
-                logger.error(
-                    f"[Synthesizer: {synthesizer_name}] Exception while synthesizing: {e}. Skipping {synthesizer_name}..."
-                )
-                continue
-            chunk_generator = synthesis_result.chunk_generator
-
-            with tqdm(desc=f"{synthesizer_name.title()} Synthesizing") as pbar:
-                first_chunk = True
-                while True:
-                    pbar.update(1)
-                    chunk_result = await chunk_generator.__anext__()
-                    if current_synthesizer_is_streaming and first_chunk:
-                        first_chunk = False
-                        first_synthesis_span.end()
-                    file_output.consume_nonblocking(chunk_result.chunk)
-                    if chunk_result.is_last_chunk:
-                        break
-
-            if current_synthesizer_is_streaming:
-                total_synthesis_span.end()
-
-
-async def run_transcribers():
-    sample_rate = 44100
-    chunk_size = 2048
-    sleep_time = chunk_size / sample_rate
-    if args.transcriber_use_mic:
-        input_device_info = sd.query_devices(kind="input")
-        input_device = MicrophoneInput(input_device_info)
-    else:
-        input_device = FileInputDevice(
-            args.transcriber_audio,
-            chunk_size=chunk_size,
-            silent_duration=0.01,
-            skip_initial_load=True,
-        )
-
-    for transcriber_cycle_idx in tqdm(
-        range(args.transcriber_num_cycles), desc="Transcriber Cycles"
-    ):
-        for transcriber_name in tqdm(args.transcribers, desc="Transcribers"):
-            transcriber = get_transcriber(transcriber_name, input_device)
-            if not args.transcriber_use_mic:
-                input_device.load()
-            transcriber_task = transcriber.start()
-
-            if args.transcriber_use_mic:
-
-                async def record_audio_task():
-                    while True:
-                        chunk = await input_device.get_audio()
-                        transcriber.send_audio(chunk)
-
-                send_audio = asyncio.create_task(record_audio_task())
-            else:
-
-                async def send_audio_task():
-                    while not input_device.is_done():
-                        chunk = await input_device.get_audio()
-                        transcriber.send_audio(chunk)
-                        await asyncio.sleep(sleep_time)
-
-                send_audio = asyncio.create_task(send_audio_task())
-
-            # `get` from `transcriber.output_queue` until it's empty for 5 seconds
-            pbar = tqdm(
-                desc=f"{transcriber_name.title()} Transcribing",
-                total=input_device.duration if not args.transcriber_use_mic else None,
-                unit="chunk",
-            )
-            while True:
-                try:
-                    transcription = await asyncio.wait_for(
-                        transcriber.output_queue.get(), timeout=5
-                    )
-                    # update the progress bar status
-                    pbar.update(round(transcriber.audio_cursor - pbar.n, 2))
-                except asyncio.TimeoutError:
-                    logger.debug(
-                        f"[Transcriber: {transcriber_name}] Transcriber queue is empty, stopping transcription..."
-                    )
-                    send_audio.cancel()
-                    break
-            if not args.transcriber_use_mic:
-                pbar.update(pbar.total - pbar.n)
-            transcriber.terminate()
-
-
-def create_graphs(final_results):
-    logger.info("Creating graphs from benchmark results...")
-    results_split = []
-    for name, value in final_results.items():
-        first_name = name.split(".", 1)
-        second_name = first_name[1].rsplit(".", 1)
-        results_split.append((first_name[0], *second_name, value))
-
-    graph_data = defaultdict(lambda: defaultdict(list))
-    for category, name, metric, value in results_split:
-        graph_data[f"{category} - {metric}"]["labels"].append(name)
-        graph_data[f"{category} - {metric}"]["values"].append(value)
-
-    graph_dir = os.path.join(args.results_dir, "graphs")
-    os.makedirs(graph_dir, exist_ok=True)
-
-    for graph_title, data in graph_data.items():
-        plt.title(graph_title)
-        plt.bar(data["labels"], data["values"])
-        plt.xticks(rotation=45)
-        plt.tight_layout()
-        plt.savefig(os.path.join(graph_dir, f"{graph_title}.png"))
-        plt.clf()
-
-
-async def main():
-    result_file_path = os.path.join(args.results_dir, args.results_file)
-    if not args.just_graphs:
-        if args.agents:
-            await run_agents()
-        if args.transcribers:
-            await run_transcribers()
-        if args.synthesizers:
-            await run_synthesizers()
-
-        trace_results = span_exporter.get_finished_spans()
-        final_spans = defaultdict(list)
-        for span in trace_results:
-            duration_ns = span.end_time - span.start_time
-            duration_s = duration_ns / 1e9
-            final_spans[span.name].append(duration_s)
-
-        scope_metrics = reader.get_metrics_data().resource_metrics[0].scope_metrics
-        final_metrics = get_final_metrics(scope_metrics, final_spans=final_spans)
-
-        final_spans = {k: sum(v) / len(v) for k, v in final_spans.items() if len(v) > 0}
-        if len(scope_metrics) > 0:
-            final_results = {**final_spans, **final_metrics}
-        else:
-            final_results = final_spans
-        print(json.dumps(final_results, indent=4))
-        if args.results_file:
-            with open(result_file_path, "w") as f:
-                json.dump(final_results, f, indent=4)
-    else:
-        with open(result_file_path, "r") as f:
-            final_results = json.load(f)
-
-    if args.create_graphs or args.just_graphs:
-        create_graphs(final_results)
-
-    print("Benchmarking complete!")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
diff --git a/playground/streaming/synthesizer/synthesize.py b/playground/streaming/synthesizer/synthesize.py
index 413ff6c8b1..bc5827b940 100644
--- a/playground/streaming/synthesizer/synthesize.py
+++ b/playground/streaming/synthesizer/synthesize.py
@@ -1,38 +1,29 @@
 import time
-import argparse
-from typing import Optional
-import aiohttp
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
+
+from vocode.streaming.constants import PER_CHUNK_ALLOWANCE_SECONDS
 from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.synthesizer import (
-    AzureSynthesizerConfig,
-    GoogleSynthesizerConfig,
-    PlayHtSynthesizerConfig,
-    ElevenLabsSynthesizerConfig,
-    RimeSynthesizerConfig,
-)
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
-from vocode.streaming.output_device.speaker_output import SpeakerOutput
-from vocode.streaming.synthesizer import *
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.streaming.output_device.abstract_output_device import AbstractOutputDevice
+from vocode.streaming.output_device.audio_chunk import AudioChunk
+from vocode.streaming.output_device.blocking_speaker_output import BlockingSpeakerOutput
+from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer
 from vocode.streaming.utils import get_chunk_size_per_second
-from playground.streaming.tracing_utils import make_parser_and_maybe_trace
-
+from vocode.streaming.utils.worker import InterruptibleEvent
 
 if __name__ == "__main__":
     import asyncio
+
     from dotenv import load_dotenv
 
     load_dotenv()
 
-    make_parser_and_maybe_trace()
-
     seconds_per_chunk = 1
 
     async def speak(
         synthesizer: BaseSynthesizer,
-        output_device: BaseOutputDevice,
+        output_device: AbstractOutputDevice,
         message: BaseMessage,
-        bot_sentiment: Optional[BotSentiment] = None,
     ):
         message_sent = message.text
         cut_off = False
@@ -41,40 +32,32 @@ async def speak(
             synthesizer.get_synthesizer_config().sampling_rate,
         )
         # ClientSession needs to be created within the async task
-        synthesizer.aiohttp_session = aiohttp.ClientSession()
-        synthesis_result = await synthesizer.create_speech(
+        synthesis_result = await synthesizer.create_speech_uncached(
             message=message,
-            chunk_size=chunk_size,
-            bot_sentiment=bot_sentiment,
+            chunk_size=int(chunk_size),
         )
         chunk_idx = 0
         async for chunk_result in synthesis_result.chunk_generator:
             try:
                 start_time = time.time()
-                speech_length_seconds = seconds_per_chunk * (
-                    len(chunk_result.chunk) / chunk_size
+                speech_length_seconds = seconds_per_chunk * (len(chunk_result.chunk) / chunk_size)
+                output_device.consume_nonblocking(
+                    InterruptibleEvent(payload=AudioChunk(data=chunk_result.chunk))
                 )
-                output_device.consume_nonblocking(chunk_result.chunk)
                 end_time = time.time()
                 await asyncio.sleep(
                     max(
-                        speech_length_seconds - (end_time - start_time),
+                        speech_length_seconds
+                        - (end_time - start_time)
+                        - PER_CHUNK_ALLOWANCE_SECONDS,
                         0,
                     )
                 )
-                print(
-                    "Sent chunk {} with size {}".format(
-                        chunk_idx, len(chunk_result.chunk)
-                    )
-                )
+                print("Sent chunk {} with size {}".format(chunk_idx, len(chunk_result.chunk)))
                 chunk_idx += 1
             except asyncio.CancelledError:
                 seconds = chunk_idx * seconds_per_chunk
-                print(
-                    "Interrupted, stopping text to speech after {} chunks".format(
-                        chunk_idx
-                    )
-                )
+                print("Interrupted, stopping text to speech after {} chunks".format(chunk_idx))
                 message_sent = f"{synthesis_result.get_message_up_to(seconds)}-"
                 cut_off = True
                 break
@@ -82,6 +65,9 @@ async def speak(
         return message_sent, cut_off
 
     async def main():
+        speaker_output = BlockingSpeakerOutput.from_default_device()
+        speaker_output.start()
+        synthesizer = AzureSynthesizer(AzureSynthesizerConfig.from_output_device(speaker_output))
         try:
             while True:
                 message_sent, _ = await speak(
@@ -92,13 +78,7 @@ async def main():
                 print("Message sent: ", message_sent)
         except KeyboardInterrupt:
             print("Interrupted, exiting")
-        await synthesizer.tear_down()
-
-    speaker_output = SpeakerOutput.from_default_device()
 
     # replace with the synthesizer you want to test
     # Note: --trace will not work with AzureSynthesizer
-    synthesizer = AzureSynthesizer(
-        AzureSynthesizerConfig.from_output_device(speaker_output)
-    )
     asyncio.run(main())
diff --git a/playground/streaming/tracing_utils.py b/playground/streaming/tracing_utils.py
index c6b543c5ff..2dd1c86569 100644
--- a/playground/streaming/tracing_utils.py
+++ b/playground/streaming/tracing_utils.py
@@ -1,12 +1,21 @@
-import re
+raise DeprecationWarning(
+    "OpenTelemetry support is currently deprecated, but planned to be re-enabled in the future."
+)
+
 import argparse
+import re
 from collections import defaultdict
 from threading import RLock
 from typing import Any, Dict, List, Optional, Union
+
+from opentelemetry.sdk.metrics.export import (
+    HistogramDataPoint,
+    Metric,
+    MetricReader,
+    MetricsData,
+    NumberDataPoint,
+)
 from opentelemetry.sdk.trace.export import SpanExporter
-from opentelemetry.sdk.metrics.export import MetricReader
-from opentelemetry.sdk.metrics.export import Metric, MetricsData
-from opentelemetry.sdk.metrics.export import NumberDataPoint, HistogramDataPoint
 
 NANOSECONDS_PER_SECOND = 1e9
 
@@ -43,17 +52,13 @@ def get_final_metrics(scope_metrics, final_spans=None):
                 transcriber_str = metric_name.split(".")[1]
                 final_metrics[metric_name] = (
                     raw_metric.sum
-                    / formatted_metric_results[
-                        f"transcriber.{transcriber_str}.duration"
-                    ].sum
+                    / formatted_metric_results[f"transcriber.{transcriber_str}.duration"].sum
                 )
             elif re.match(r"agent.*\.total_characters", metric_name) and final_spans:
                 agent_str = metric_name.split(".", 1)[1].rsplit(".", 1)[0]
                 generate_total_key = f"agent.{agent_str}.generate_total"
                 respond_total_key = f"agent.{agent_str}.respond_total"
-                final_metrics[
-                    f"agent.{agent_str}.characters_per_second"
-                ] = raw_metric.value / (
+                final_metrics[f"agent.{agent_str}.characters_per_second"] = raw_metric.value / (
                     sum(final_spans[generate_total_key])
                     if generate_total_key in final_spans
                     else sum(final_spans[respond_total_key])
@@ -103,15 +108,13 @@ def shutdown(self, timeout_millis: float = 30_000, **kwargs) -> None:
 
 def make_parser_and_maybe_trace():
     parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--trace", action="store_true", help="Log latencies and other statistics"
-    )
+    parser.add_argument("--trace", action="store_true", help="Log latencies and other statistics")
     args = parser.parse_args()
     if args.trace:
         from opentelemetry import trace
+        from opentelemetry.sdk.resources import Resource
         from opentelemetry.sdk.trace import TracerProvider
         from opentelemetry.sdk.trace.export import SimpleSpanProcessor
-        from opentelemetry.sdk.resources import Resource
 
         trace.set_tracer_provider(TracerProvider(resource=Resource.create({})))
         span_exporter = PrintDurationSpanExporter()
diff --git a/playground/streaming/transcriber/transcribe.py b/playground/streaming/transcriber/transcribe.py
index 0ce3ea3ce7..d7a097df32 100644
--- a/playground/streaming/transcriber/transcribe.py
+++ b/playground/streaming/transcriber/transcribe.py
@@ -1,54 +1,45 @@
-import argparse
-
+from vocode.streaming.input_device.file_input_device import FileInputDevice
 from vocode.streaming.input_device.microphone_input import MicrophoneInput
-from vocode.streaming.models.transcriber import (
-    DeepgramTranscriberConfig,
-    PunctuationEndpointingConfig,
+from vocode.streaming.models.transcriber import DeepgramTranscriberConfig, Transcription
+from vocode.streaming.transcriber.base_transcriber import BaseTranscriber
+from vocode.streaming.transcriber.deepgram_transcriber import (
+    DeepgramEndpointingConfig,
+    DeepgramTranscriber,
 )
-from vocode.streaming.transcriber.base_transcriber import BaseTranscriber, Transcription
-from vocode.streaming.transcriber import *
+from vocode.streaming.utils.worker import AsyncWorker
+
+
+class TranscriptionPrinter(AsyncWorker[Transcription]):
+    async def _run_loop(self):
+        while True:
+            transcription: Transcription = await self._input_queue.get()
+            print(transcription)
 
 
 if __name__ == "__main__":
     import asyncio
+
     from dotenv import load_dotenv
 
     load_dotenv()
 
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        "--trace", action="store_true", help="Log latencies and other statistics"
-    )
-    args = parser.parse_args()
-
-    if args.trace:
-        from opentelemetry import metrics
-        from opentelemetry.sdk.metrics import MeterProvider
-        from playground.streaming.tracing_utils import SpecificStatisticsReader
-
-        reader = SpecificStatisticsReader()
-        provider = MeterProvider(metric_readers=[reader])
-        metrics.set_meter_provider(provider)
-
-    async def print_output(transcriber: BaseTranscriber):
-        while True:
-            transcription: Transcription = await transcriber.output_queue.get()
-            print(transcription)
-
     async def listen():
-        microphone_input = MicrophoneInput.from_default_device()
+        input_device = MicrophoneInput.from_default_device()
+        # input_device = FileInputDevice(file_path="spacewalk.wav")
 
         # replace with the transcriber you want to test
         transcriber = DeepgramTranscriber(
             DeepgramTranscriberConfig.from_input_device(
-                microphone_input, endpointing_config=PunctuationEndpointingConfig()
+                input_device, endpointing_config=DeepgramEndpointingConfig()
             )
         )
         transcriber.start()
-        asyncio.create_task(print_output(transcriber))
+        transcription_printer = TranscriptionPrinter()
+        transcriber.consumer = transcription_printer
+        transcription_printer.start()
         print("Start speaking...press Ctrl+C to end. ")
         while True:
-            chunk = await microphone_input.get_audio()
+            chunk = await input_device.get_audio()
             transcriber.send_audio(chunk)
 
     asyncio.run(listen())
diff --git a/poetry.lock b/poetry.lock
index 414c5b54e1..8367a8eec2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,112 +1,113 @@
-# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+    {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
 
 [[package]]
 name = "aiohttp"
-version = "3.8.4"
+version = "3.11.2"
 description = "Async http client/server framework (asyncio)"
 optional = false
-python-versions = ">=3.6"
-files = [
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-    {file = "aiohttp-3.8.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b744c33b6f14ca26b7544e8d8aadff6b765a80ad6164fb1a430bbadd593dfb1a"},
-    {file = "aiohttp-3.8.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1a45865451439eb320784918617ba54b7a377e3501fb70402ab84d38c2cd891b"},
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+    {file = "aiohttp-3.11.2.tar.gz", hash = "sha256:68d1f46f9387db3785508f5225d3acbc5825ca13d9c29f2b5cce203d5863eb79"},
 ]
 
 [package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = ">=4.0.0a3,<5.0"
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
-charset-normalizer = ">=2.0,<4.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiohttp-retry"
@@ -124,17 +125,17 @@ aiohttp = "*"
 
 [[package]]
 name = "aioresponses"
-version = "0.7.4"
+version = "0.7.6"
 description = "Mock out requests made by ClientSession from aiohttp package"
 optional = false
 python-versions = "*"
 files = [
-    {file = "aioresponses-0.7.4-py2.py3-none-any.whl", hash = "sha256:1160486b5ea96fcae6170cf2bdef029b9d3a283b7dbeabb3d7f1182769bfb6b7"},
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+    {file = "aioresponses-0.7.6-py2.py3-none-any.whl", hash = "sha256:d2c26defbb9b440ea2685ec132e90700907fd10bcca3e85ec2f157219f0d26f7"},
+    {file = "aioresponses-0.7.6.tar.gz", hash = "sha256:f795d9dbda2d61774840e7e32f5366f45752d1adc1b74c9362afd017296c7ee1"},
 ]
 
 [package.dependencies]
-aiohttp = ">=2.0.0,<4.0.0"
+aiohttp = ">=3.3.0,<4.0.0"
 
 [[package]]
 name = "aiosignal"
@@ -151,161 +152,137 @@ files = [
 frozenlist = ">=1.1.0"
 
 [[package]]
-name = "anthropic"
-version = "0.2.10"
-description = "Library for accessing the anthropic API"
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anthropic-0.2.10-py3-none-any.whl", hash = "sha256:a007496207fd186b0bcb9592b00ca130069d2a427f3d6f602a61dbbd1ac6316e"},
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+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
-[package.dependencies]
-aiohttp = "*"
-httpx = "*"
-requests = "*"
-tokenizers = "*"
-
-[package.extras]
-dev = ["black (>=22.3.0)", "pytest"]
-
 [[package]]
-name = "anyio"
-version = "3.7.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
+name = "anthropic"
+version = "0.28.1"
+description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
-idna = ">=2.8"
-sniffio = ">=1.1"
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+jiter = ">=0.4.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tokenizers = ">=0.13.0"
+typing-extensions = ">=4.7,<5"
 
 [package.extras]
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-trio = ["trio (<0.22)"]
-
-[[package]]
-name = "appnope"
-version = "0.1.3"
-description = "Disable App Nap on macOS >= 10.9"
-optional = true
-python-versions = "*"
-files = [
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-]
+bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
+vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
-name = "asttokens"
-version = "2.2.1"
-description = "Annotate AST trees with source code positions"
-optional = true
-python-versions = "*"
+name = "anyio"
+version = "4.4.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-six = "*"
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
+idna = ">=2.8"
+sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-test = ["astroid", "pytest"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.2"
+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
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 ]
 
 [package.extras]
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-dev = ["attrs[docs,tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
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+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "azure-cognitiveservices-speech"
-version = "1.29.0"
+version = "1.38.0"
 description = "Microsoft Cognitive Services Speech SDK for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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-]
-
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-version = "0.2.0"
-description = "Specifications for callback functions passed in to an API"
-optional = true
-python-versions = "*"
-files = [
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 python-versions = ">=3.7"
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 [package.dependencies]
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 ]
 
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 [[package]]
@@ -630,226 +723,348 @@ wrapt = ">=1.10,<2"
 dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 
 [[package]]
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+[package.dependencies]
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 optional = false
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 ]
 
+[package.extras]
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+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "google-api-core"
-version = "2.11.0"
+version = "2.19.1"
 description = "Google API client core library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-core-2.11.0.tar.gz", hash = "sha256:4b9bb5d5a380a0befa0573b302651b8a9a89262c1730e37bf423cec511804c22"},
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+    {file = "google-api-core-2.19.1.tar.gz", hash = "sha256:f4695f1e3650b316a795108a76a1c416e6afb036199d1c1f1f110916df479ffd"},
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+google-auth = ">=2.14.1,<3.0.dev0"
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 grpcio = [
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""},
     {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""},
-    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
 ]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
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+requests = ">=2.18.0,<3.0.0.dev0"
 
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-grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"]
-grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"]
+grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
+grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
+grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.20.0"
+version = "2.33.0"
 description = "Google Authentication Library"
 optional = true
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+python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.20.0.tar.gz", hash = "sha256:030af34138909ccde0fbce611afc178f1d65d32fbff281f25738b1fe1c6f3eaa"},
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+    {file = "google_auth-2.33.0-py2.py3-none-any.whl", hash = "sha256:8eff47d0d4a34ab6265c50a106a3362de6a9975bb08998700e389f857e4d39df"},
+    {file = "google_auth-2.33.0.tar.gz", hash = "sha256:d6a52342160d7290e334b4d47ba390767e4438ad0d45b7630774533e82655b95"},
 ]
 
 [package.dependencies]
 cachetools = ">=2.0.0,<6.0"
 pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
-six = ">=1.9.0"
-urllib3 = "<2.0"
 
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
@@ -860,85 +1075,92 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.26.0"
+version = "1.60.0"
 description = "Vertex AI API client library"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "google_cloud_aiplatform-1.60.0-py2.py3-none-any.whl", hash = "sha256:5f14159c9575f4b46335027e3ceb8fa57bd5eaa76a07f858105b8c6c034ec0d6"},
 ]
 
 [package.dependencies]
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-google-cloud-bigquery = ">=1.15.0,<4.0.0dev"
+docstring-parser = "<1"
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+google-auth = ">=2.14.1,<3.0.0dev"
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 google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
 google-cloud-storage = ">=1.32.0,<3.0.0dev"
 packaging = ">=14.3"
-proto-plus = ">=1.22.0,<2.0.0dev"
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-shapely = "<2.0.0"
+pydantic = "<3"
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 endpoint = ["requests (>=2.28.1)"]
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 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
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+tokenization = ["sentencepiece (>=0.2.0)"]
+vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
 [[package]]
 name = "google-cloud-bigquery"
-version = "3.11.1"
+version = "3.25.0"
 description = "Google BigQuery API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-bigquery-3.11.1.tar.gz", hash = "sha256:cfe1158bc5818276ba765959da8a27afdcdaa11fa3fa9eed097d5639297dfe74"},
-    {file = "google_cloud_bigquery-3.11.1-py2.py3-none-any.whl", hash = "sha256:738ae717f26bd7567f826f29f65be266f49bc3db0b069ac6030894fd8895ed6f"},
+    {file = "google-cloud-bigquery-3.25.0.tar.gz", hash = "sha256:5b2aff3205a854481117436836ae1403f11f2594e6810a98886afd57eda28509"},
+    {file = "google_cloud_bigquery-3.25.0-py2.py3-none-any.whl", hash = "sha256:7f0c371bc74d2a7fb74dacbc00ac0f90c8c2bec2289b51dd6685a275873b1ce9"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev", extras = ["grpc"]}
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<3.0.0dev"
 google-cloud-core = ">=1.6.0,<3.0.0dev"
 google-resumable-media = ">=0.6.0,<3.0dev"
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 packaging = ">=20.0.0"
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 python-dateutil = ">=2.7.2,<3.0dev"
 requests = ">=2.21.0,<3.0.0dev"
 
 [package.extras]
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+all = ["Shapely (>=1.8.4,<3.0.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "importlib-metadata (>=1.0.0)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
+bigquery-v2 = ["proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)"]
 bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"]
-geopandas = ["Shapely (>=1.8.4,<2.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
+geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
 ipython = ["ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)"]
 ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"]
 opentelemetry = ["opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)"]
-pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"]
+pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "importlib-metadata (>=1.0.0)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"]
 tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"]
 
 [[package]]
 name = "google-cloud-core"
-version = "2.3.2"
+version = "2.4.1"
 description = "Google Cloud API client core library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-core-2.3.2.tar.gz", hash = "sha256:b9529ee7047fd8d4bf4a2182de619154240df17fbe60ead399078c1ae152af9a"},
-    {file = "google_cloud_core-2.3.2-py2.py3-none-any.whl", hash = "sha256:8417acf6466be2fa85123441696c4badda48db314c607cf1e5d543fa8bdc22fe"},
+    {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
+    {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
 ]
 
 [package.dependencies]
@@ -946,86 +1168,82 @@ google-api-core = ">=1.31.6,<2.0.dev0 || >2.3.0,<3.0.0dev"
 google-auth = ">=1.25.0,<3.0dev"
 
 [package.extras]
-grpc = ["grpcio (>=1.38.0,<2.0dev)"]
+grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.10.1"
+version = "1.12.5"
 description = "Google Cloud Resource Manager API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-resource-manager-1.10.1.tar.gz", hash = "sha256:c974fb6f9810476cf7b63ea89394c1a8df47f7f2dc2303e728bb74b500bcde67"},
-    {file = "google_cloud_resource_manager-1.10.1-py2.py3-none-any.whl", hash = "sha256:41a2204532f084c707fde0bc1a9bc95c7e0b739d7072dd0b8a25106667a56184"},
+    {file = "google_cloud_resource_manager-1.12.5-py2.py3-none-any.whl", hash = "sha256:2708a718b45c79464b7b21559c701b5c92e6b0b1ab2146d0a256277a623dc175"},
+    {file = "google_cloud_resource_manager-1.12.5.tar.gz", hash = "sha256:b7af4254401ed4efa3aba3a929cb3ddb803fa6baf91a78485e45583597de5891"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
-proto-plus = [
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-    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
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-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+proto-plus = ">=1.22.3,<2.0.0dev"
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
 
 [[package]]
 name = "google-cloud-speech"
-version = "2.20.0"
+version = "2.27.0"
 description = "Google Cloud Speech API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-speech-2.20.0.tar.gz", hash = "sha256:e6c5b86ffe8e474b9c82b699ef902f75c9478e77e44ea39de3997b3ef8af3e2e"},
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+    {file = "google_cloud_speech-2.27.0-py2.py3-none-any.whl", hash = "sha256:993b6e71e8ff91f614edc909d08df4638a19a58834725dd84553bfc024204b69"},
+    {file = "google_cloud_speech-2.27.0.tar.gz", hash = "sha256:6174d321cc81a58b36bde6e8399d7531d5012393953872a468cb664e42868385"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
-proto-plus = [
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-    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
-]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
+proto-plus = ">=1.22.3,<2.0.0dev"
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 [[package]]
 name = "google-cloud-storage"
-version = "2.9.0"
+version = "2.18.1"
 description = "Google Cloud Storage API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-storage-2.9.0.tar.gz", hash = "sha256:9b6ae7b509fc294bdacb84d0f3ea8e20e2c54a8b4bbe39c5707635fec214eff3"},
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+    {file = "google_cloud_storage-2.18.1-py2.py3-none-any.whl", hash = "sha256:9d8db6bde3a979cca7150511cd0e4cb363e5f69d31259d890ba1124fa109418c"},
+    {file = "google_cloud_storage-2.18.1.tar.gz", hash = "sha256:6707a6f30a05aee36faca81296419ca2907ac750af1c0457f278bc9a6fb219ad"},
 ]
 
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-google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev"
-google-auth = ">=1.25.0,<3.0dev"
+google-api-core = ">=2.15.0,<3.0.0dev"
+google-auth = ">=2.26.1,<3.0dev"
 google-cloud-core = ">=2.3.0,<3.0dev"
-google-resumable-media = ">=2.3.2"
+google-crc32c = ">=1.0,<2.0dev"
+google-resumable-media = ">=2.6.0"
 requests = ">=2.18.0,<3.0.0dev"
 
 [package.extras]
-protobuf = ["protobuf (<5.0.0dev)"]
+protobuf = ["protobuf (<6.0.0dev)"]
+tracing = ["opentelemetry-api (>=1.1.0)"]
 
 [[package]]
 name = "google-cloud-texttospeech"
-version = "2.14.1"
+version = "2.16.5"
 description = "Google Cloud Texttospeech API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-texttospeech-2.14.1.tar.gz", hash = "sha256:dd716f2a768ad67502cfd99b9925c51ffd6e16be93b410abeeffdaac190bfe81"},
-    {file = "google_cloud_texttospeech-2.14.1-py2.py3-none-any.whl", hash = "sha256:883fe35e3c823ff77cc633b30ab9a93d3b5eb38ebce7eaeef6f87e8d03210e54"},
+    {file = "google_cloud_texttospeech-2.16.5-py2.py3-none-any.whl", hash = "sha256:3f987ad64dbbf6140ec08d0e5bc53987951f72495416b973e7e51bfa216368b8"},
+    {file = "google_cloud_texttospeech-2.16.5.tar.gz", hash = "sha256:98a1fe49cce1726f071c779a3b2d73c9878c768f1cd9bf00d00610e03c543667"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
-proto-plus = [
-    {version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
-    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
-]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
+proto-plus = ">=1.22.3,<2.0.0dev"
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
 
 [[package]]
 name = "google-crc32c"
@@ -1109,221 +1327,220 @@ testing = ["pytest"]
 
 [[package]]
 name = "google-resumable-media"
-version = "2.5.0"
+version = "2.7.1"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = true
-python-versions = ">= 3.7"
+python-versions = ">=3.7"
 files = [
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+    {file = "google-resumable-media-2.7.1.tar.gz", hash = "sha256:eae451a7b2e2cdbaaa0fd2eb00cc8a1ee5e95e16b55597359cbc3d27d7d90e33"},
+    {file = "google_resumable_media-2.7.1-py2.py3-none-any.whl", hash = "sha256:103ebc4ba331ab1bfdac0250f8033627a2cd7cde09e7ccff9181e31ba4315b2c"},
 ]
 
 [package.dependencies]
 google-crc32c = ">=1.0,<2.0dev"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)"]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)", "google-auth (>=1.22.0,<2.0dev)"]
 requests = ["requests (>=2.18.0,<3.0.0dev)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.59.1"
+version = "1.63.2"
 description = "Common protobufs used in Google APIs"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
 grpcio = {version = ">=1.44.0,<2.0.0.dev0", optional = true, markers = "extra == \"grpc\""}
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
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 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "greenlet"
-version = "2.0.2"
+version = "3.0.3"
 description = "Lightweight in-process concurrent programming"
-optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
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+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.65.4)"]
 
 [[package]]
 name = "grpcio-status"
-version = "1.54.2"
+version = "1.62.3"
 description = "Status proto mapping for gRPC"
 optional = true
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.54.2"
+grpcio = ">=1.62.3"
 protobuf = ">=4.21.6"
 
-[[package]]
-name = "gtts"
-version = "2.3.2"
-description = "gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate text-to-speech API"
-optional = true
-python-versions = ">=3.7"
-files = [
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-]
-
-[package.dependencies]
-click = ">=7.1,<8.2"
-requests = ">=2.27,<3"
-
-[package.extras]
-docs = ["sphinx", "sphinx-autobuild", "sphinx-click", "sphinx-mdinclude", "sphinx-rtd-theme"]
-tests = ["pytest (>=7.1.3,<7.2.0)", "pytest-cov", "testfixtures"]
-
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -1337,39 +1554,88 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "0.17.2"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-anyio = ">=3.0,<5.0"
 certifi = "*"
 h11 = ">=0.13,<0.15"
-sniffio = "==1.*"
 
 [package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
+
+[[package]]
+name = "httptools"
+version = "0.6.1"
+description = "A collection of framework independent HTTP protocol utils."
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+]
+
+[package.extras]
+test = ["Cython (>=0.29.24,<0.30.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.24.1"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "httpx-0.24.1-py3-none-any.whl", hash = "sha256:06781eb9ac53cde990577af654bd990a4949de37a28bdb4a230d434f3a30b9bd"},
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+    {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
+    {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
 ]
 
 [package.dependencies]
+anyio = "*"
 certifi = "*"
-httpcore = ">=0.15.0,<0.18.0"
+httpcore = "==1.*"
 idna = "*"
 sniffio = "*"
 
@@ -1378,50 +1644,71 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
-name = "identify"
-version = "2.5.24"
-description = "File identification library for Python"
+name = "huggingface-hub"
+version = "0.24.5"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8.0"
 files = [
-    {file = "identify-2.5.24-py2.py3-none-any.whl", hash = "sha256:986dbfb38b1140e763e413e6feb44cd731faf72d1909543178aa79b0e258265d"},
-    {file = "identify-2.5.24.tar.gz", hash = "sha256:0aac67d5b4812498056d28a9a512a483f5085cc28640b02b258a59dac34301d4"},
+    {file = "huggingface_hub-0.24.5-py3-none-any.whl", hash = "sha256:d93fb63b1f1a919a22ce91a14518974e81fc4610bf344dfe7572343ce8d3aced"},
+    {file = "huggingface_hub-0.24.5.tar.gz", hash = "sha256:7b45d6744dd53ce9cbf9880957de00e9d10a9ae837f1c9b7255fc8fa4e8264f3"},
 ]
 
+[package.dependencies]
+filelock = "*"
+fsspec = ">=2023.5.0"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
 [package.extras]
-license = ["ukkonen"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors[torch]", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
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-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
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 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.0.1"
+version = "8.0.0"
 description = "Read metadata from Python packages"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "iniconfig"
@@ -1435,43 +1722,29 @@ files = [
 ]
 
 [[package]]
-name = "ipython"
-version = "8.12.2"
-description = "IPython: Productive Interactive Computing"
-optional = true
-python-versions = ">=3.8"
+name = "isort"
+version = "5.13.2"
+description = "A Python utility / library to sort Python imports."
+optional = false
+python-versions = ">=3.8.0"
 files = [
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-[package.dependencies]
-appnope = {version = "*", markers = "sys_platform == \"darwin\""}
-backcall = "*"
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
-pickleshare = "*"
-prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
-pygments = ">=2.4.0"
-stack-data = "*"
-traitlets = ">=5"
-typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
-
-[package.extras]
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-doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
-kernel = ["ipykernel"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["ipywidgets", "notebook"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
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+[package.extras]
+colors = ["colorama (>=0.4.6)"]
+
+[[package]]
+name = "iterators"
+version = "0.2.0"
+description = "Iterator utility classes and functions"
+optional = true
+python-versions = ">=3.6"
+files = [
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+]
 
 [[package]]
 name = "janus"
@@ -1487,34 +1760,15 @@ files = [
 [package.dependencies]
 typing-extensions = ">=3.7.4.3"
 
-[[package]]
-name = "jedi"
-version = "0.18.2"
-description = "An autocompletion tool for Python that can be used for text editors."
-optional = true
-python-versions = ">=3.6"
-files = [
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-
-[package.dependencies]
-parso = ">=0.8.0,<0.9.0"
-
-[package.extras]
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-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
-
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1524,235 +1778,533 @@ MarkupSafe = ">=2.0"
 i18n = ["Babel (>=2.7)"]
 
 [[package]]
-name = "joblib"
-version = "1.2.0"
-description = "Lightweight pipelining with Python functions"
+name = "jiter"
+version = "0.5.0"
+description = "Fast iterable JSON parser."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -2209,188 +2732,338 @@ dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
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 name = "pydub"
@@ -2405,38 +3078,58 @@ files = [
 
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 [package.extras]
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+
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+version = "2.9.0"
 description = "JSON Web Token implementation in Python"
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-python-versions = ">=3.7"
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 [package.dependencies]
@@ -2444,19 +3137,19 @@ cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"cryp
 
 [package.extras]
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-docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
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+docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"]
 tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
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 name = "pytest"
-version = "7.3.2"
+version = "8.3.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -2464,39 +3157,110 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=0.12,<2.0"
-tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+pluggy = ">=1.5,<2"
+tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.21.0"
+version = "0.23.8"
 description = "Pytest support for asyncio"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-pytest = ">=7.0.0"
+pytest = ">=7.0.0,<9"
 
 [package.extras]
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
-testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
+testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
+
+[[package]]
+name = "pytest-cov"
+version = "5.0.0"
+description = "Pytest plugin for measuring coverage."
+optional = false
+python-versions = ">=3.8"
+files = [
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+pytest = ">=4.6"
+
+[package.extras]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
+
+[[package]]
+name = "pytest-env"
+version = "1.1.3"
+description = "pytest plugin that allows you to add environment variables."
+optional = false
+python-versions = ">=3.8"
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+
+[package.extras]
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+
+[[package]]
+name = "pytest-httpx"
+version = "0.30.0"
+description = "Send responses to httpx."
+optional = false
+python-versions = ">=3.9"
+files = [
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+[package.extras]
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+
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+optional = false
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+
+[package.dependencies]
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+
+[package.extras]
+dev = ["pre-commit", "pytest-asyncio", "tox"]
 
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-version = "2.8.2"
+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2504,13 +3268,13 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.0"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -2518,202 +3282,221 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-multipart"
-version = "0.0.6"
+version = "0.0.9"
 description = "A streaming multipart parser for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 [[package]]
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 description = "World timezone definitions, modern and historical"
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 python-versions = "*"
 files = [
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 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
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+
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+
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-
-[package.extras]
-all = ["numpy", "pytest", "pytest-cov"]
-test = ["pytest", "pytest-cov"]
-vectorized = ["numpy"]
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 description = "Python 2 and 3 compatibility utilities"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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 description = "Sniff out which async library your code is running under"
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+description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
+optional = false
+python-versions = "*"
+files = [
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-version = "0.4.6"
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 python-versions = ">=3.7"
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 [package.dependencies]
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 numpy = ["NumPy"]
 
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-version = "3.10.0"
-description = "Library for performing speech recognition, with support for several engines and APIs, online and offline."
-optional = false
-python-versions = ">=3.8"
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 [package.extras]
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-
-[package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_machine == \"AMD64\" or platform_machine == \"amd64\" or platform_machine == \"x86_64\" or platform_machine == \"ppc64le\" or platform_machine == \"aarch64\""}
-typing-extensions = ">=4.2.0"
-
-[package.extras]
-aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
+aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
@@ -2975,7 +3895,7 @@ mssql-pyodbc = ["pyodbc"]
 mypy = ["mypy (>=0.910)"]
 mysql = ["mysqlclient (>=1.4.0)"]
 mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=7)"]
+oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
@@ -2985,112 +3905,208 @@ postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
 postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
-
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-optional = true
-python-versions = "*"
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-
-[package.dependencies]
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-executing = ">=1.2.0"
-pure-eval = "*"
-
-[package.extras]
-tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
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-version = "0.27.0"
+version = "0.37.2"
 description = "The little ASGI library that shines."
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-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 [package.extras]
-full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
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 [[package]]
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+version = "8.5.0"
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+optional = true
+python-versions = ">=3.8"
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+
+[package.extras]
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+test = ["pytest", "tornado (>=4.5)", "typeguard"]
+
+[[package]]
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+version = "0.7.0"
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-python-versions = ">=3.6"
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 ]
 
+[package.dependencies]
+regex = ">=2022.1.18"
+requests = ">=2.26.0"
+
 [package.extras]
-doc = ["reno", "sphinx", "tornado (>=4.5)"]
+blobfile = ["blobfile (>=2)"]
 
 [[package]]
 name = "tokenizers"
-version = "0.13.3"
-description = "Fast and Customizable Tokenizers"
+version = "0.19.1"
+description = ""
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
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+
+[package.dependencies]
+huggingface-hub = ">=0.16.4,<1.0"
+
+[package.extras]
+dev = ["tokenizers[testing]"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
-testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
 [[package]]
 name = "tomli"
@@ -3105,80 +4121,107 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.65.0"
+version = "4.66.5"
 description = "Fast, Extensible Progress Meter"
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 python-versions = ">=3.7"
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
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-version = "5.9.0"
-description = "Traitlets Python configuration system"
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-python-versions = ">=3.7"
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-test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
-
 [[package]]
 name = "twilio"
-version = "8.2.2"
+version = "9.2.3"
 description = "Twilio API client and TwiML generator"
 optional = true
 python-versions = ">=3.7.0"
 files = [
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 aiohttp-retry = ">=2.8.3"
 PyJWT = ">=2.0.0,<3.0.0"
-pytz = "*"
 requests = ">=2.0.0"
 
+[[package]]
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+version = "0.12.3"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = false
+python-versions = ">=3.7"
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+
+[[package]]
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+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.dependencies]
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+
+[[package]]
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+description = "Typing stubs for protobuf"
+optional = true
+python-versions = ">=3.8"
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 [[package]]
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 ]
 
 [package.dependencies]
 cryptography = ">=35.0.0"
+types-cffi = "*"
 
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 name = "types-redis"
-version = "4.5.5.2"
+version = "4.6.0.20240806"
 description = "Typing stubs for redis"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3187,56 +4230,56 @@ types-pyOpenSSL = "*"
 
 [[package]]
 name = "types-regex"
-version = "2023.6.3.0"
+version = "2024.7.24.20240726"
 description = "Typing stubs for regex"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "types-requests"
-version = "2.31.0.1"
+version = "2.32.0.20240712"
 description = "Typing stubs for requests"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-types-urllib3 = "*"
+urllib3 = ">=2"
 
 [[package]]
-name = "types-urllib3"
-version = "1.26.25.13"
-description = "Typing stubs for urllib3"
+name = "types-setuptools"
+version = "71.1.0.20240806"
+description = "Typing stubs for setuptools"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "types-urllib3-1.26.25.13.tar.gz", hash = "sha256:3300538c9dc11dad32eae4827ac313f5d986b8b21494801f1bf97a1ac6c03ae5"},
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 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.6.3"
-description = "Backported and Experimental Type Hints for Python 3.7+"
+version = "4.12.2"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.6.3-py3-none-any.whl", hash = "sha256:88a4153d8505aabbb4e13aacb7c486c2b4a33ca3b3f807914a9b4c844c471c26"},
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+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
 name = "typing-inspect"
 version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
-optional = false
+optional = true
 python-versions = "*"
 files = [
     {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
@@ -3249,399 +4292,529 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "urllib3"
-version = "1.26.16"
+version = "2.2.2"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.8"
 files = [
-    {file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"},
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+    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
+    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
-
-[[package]]
-name = "urlobject"
-version = "2.4.3"
-description = "A utility class for manipulating URLs."
-optional = true
-python-versions = "*"
-files = [
-    {file = "URLObject-2.4.3.tar.gz", hash = "sha256:47b2e20e6ab9c8366b2f4a3566b6ff4053025dad311c4bb71279bbcfa2430caa"},
-]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.21.1"
+version = "0.30.5"
 description = "The lightning-fast ASGI server."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "uvicorn-0.21.1.tar.gz", hash = "sha256:0fac9cb342ba099e0d582966005f3fdba5b0290579fed4a6266dc702ca7bb032"},
+    {file = "uvicorn-0.30.5-py3-none-any.whl", hash = "sha256:b2d86de274726e9878188fa07576c9ceeff90a839e2b6e25c917fe05f5a6c835"},
+    {file = "uvicorn-0.30.5.tar.gz", hash = "sha256:ac6fdbd4425c5fd17a9fe39daf4d4d075da6fdc80f653e5894cdc2fd98752bee"},
 ]
 
 [package.dependencies]
 click = ">=7.0"
+colorama = {version = ">=0.4", optional = true, markers = "sys_platform == \"win32\" and extra == \"standard\""}
 h11 = ">=0.8"
+httptools = {version = ">=0.5.0", optional = true, markers = "extra == \"standard\""}
+python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
+typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
 standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
-name = "virtualenv"
-version = "20.23.1"
-description = "Virtual Python Environment builder"
+name = "uvloop"
+version = "0.19.0"
+description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
-python-versions = ">=3.7"
-files = [
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+python-versions = ">=3.8.0"
+files = [
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 ]
 
-[package.dependencies]
-distlib = ">=0.3.6,<1"
-filelock = ">=3.12,<4"
-platformdirs = ">=3.5.1,<4"
-
 [package.extras]
-docs = ["furo (>=2023.5.20)", "proselint (>=0.13)", "sphinx (>=7.0.1)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.3.1)", "pytest-env (>=0.8.1)", "pytest-freezer (>=0.4.6)", "pytest-mock (>=3.10)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=67.8)", "time-machine (>=2.9)"]
+docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
+test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"]
 
 [[package]]
 name = "vonage"
-version = "3.5.2"
+version = "3.16.1"
 description = "Vonage Server SDK for Python"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "vonage-3.16.1-py2.py3-none-any.whl", hash = "sha256:89b9ece2c884ff1e33dbd5241b9eb4e294a8f9b7ce305b887c8c1eed34063dd8"},
+    {file = "vonage-3.16.1.tar.gz", hash = "sha256:881e99bb4ebf6e7b8b836853ed486ead2f1f7a83d5016ad9996026d7037de89b"},
 ]
 
 [package.dependencies]
 Deprecated = "*"
-pydantic = ">=1.10.2"
+pydantic = ">=2.5.2"
 pytz = ">=2018.5"
-requests = ">=2.4.2"
-vonage-jwt = ">=1.0.0"
+requests = ">=2.32.2"
+vonage-jwt = ">=1.1.0"
 
 [[package]]
 name = "vonage-jwt"
-version = "1.0.0"
-description = "A JWT Generator for Python. Creates JWTs for use with Vonage APIs."
+version = "1.1.1"
+description = "Tooling for working with JWTs for Vonage APIs in Python."
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "vonage_jwt-1.1.1-py3-none-any.whl", hash = "sha256:4b751571e013deeab9f13b68f9e1478d8aa7f0a91f0cb7f6d793fa7b859859df"},
+    {file = "vonage_jwt-1.1.1.tar.gz", hash = "sha256:15f4b1cd8fa5909390a4074a909053ae823df0557b1edb9b675d0a013295dc10"},
 ]
 
 [package.dependencies]
 pyjwt = {version = ">=1.6.4", extras = ["crypto"]}
+vonage-utils = ">=1.1.2"
 
 [[package]]
-name = "wcwidth"
-version = "0.2.6"
-description = "Measures the displayed width of unicode strings in a terminal"
+name = "vonage-utils"
+version = "1.1.2"
+description = "Utils package containing objects for use with Vonage APIs"
 optional = true
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
-    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+    {file = "vonage_utils-1.1.2-py3-none-any.whl", hash = "sha256:a815a8be8f5fdba558d090d0f81b469a2eb0ded4cccbfe4e27dc9276e84c4b7e"},
+    {file = "vonage_utils-1.1.2.tar.gz", hash = "sha256:a86c1eafe62e6f82d18dda6fd4dc78c898dea81888b83f18ea75105365307daf"},
 ]
 
+[package.dependencies]
+pydantic = ">=2.7.1"
+typing-extensions = ">=4.9.0"
+
 [[package]]
-name = "websocket-client"
-version = "0.59.0"
-description = "WebSocket client for Python with low level API options"
-optional = true
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+name = "watchfiles"
+version = "0.23.0"
+description = "Simple, modern and high performance file watching and code reload in python."
+optional = false
+python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-0.59.0.tar.gz", hash = "sha256:d376bd60eace9d437ab6d7ee16f4ab4e821c9dae591e1b783c58ebd8aaf80c5c"},
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 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [[package]]
 name = "zipp"
-version = "3.15.0"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
-    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [extras]
-actions = ["nylas"]
-agents = ["google-cloud-aiplatform"]
-all = ["elevenlabs", "google-cloud-aiplatform", "google-cloud-speech", "google-cloud-texttospeech", "gtts", "nylas", "redis", "twilio", "vonage"]
-synthesizers = ["elevenlabs", "google-cloud-texttospeech", "gtts"]
-telephony = ["redis", "twilio", "vonage"]
+all = ["cartesia", "google-cloud-speech", "google-cloud-texttospeech", "groq", "langchain", "langchain-anthropic", "langchain-community", "langchain-google-vertexai", "langchain-openai", "livekit", "pvkoala", "twilio", "vonage"]
+langchain = ["langchain", "langchain-community"]
+langchain-extras = ["langchain-anthropic", "langchain-google-vertexai", "langchain-openai"]
+synthesizers = ["cartesia", "google-cloud-texttospeech", "pvkoala"]
+telephony = ["twilio", "vonage"]
 transcribers = ["google-cloud-speech"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.8.1,<3.12"
-content-hash = "0551e88980b5e22957c5cbe641e6a7897a295a6e3d31b2cc4e0e074a1fa2e231"
+python-versions = ">=3.10,<4.0"
+content-hash = "2a170e93bca45cb3c8a6a5c83054685cc7639d4ff8b8a181343d497ecdc74f68"
diff --git a/pull_core_into_upstream.sh b/pull_core_into_upstream.sh
new file mode 100755
index 0000000000..8d9493bc97
--- /dev/null
+++ b/pull_core_into_upstream.sh
@@ -0,0 +1,24 @@
+#!/bin/bash
+
+# if gh is not installed, raise an error
+if ! command -v gh >/dev/null 2>&1
+then
+    echo "gh could not be found"
+    echo "Please install gh, e.g. 'brew install gh'"
+    exit 1
+fi
+
+SUBMODULE_BRANCH="vocodehq-public"
+
+USER=$(gh api user | jq -r '.login')
+DATE=$(date +%Y%m%d%H%M%S)
+PR_TITLE="Update ${SUBMODULE_BRANCH}"
+PR_BODY="This PR updates the ${SUBMODULE_BRANCH} branch by merging changes from the main branch."
+
+echo "Creating a new branch ${FEATURE_BRANCH}"
+
+git checkout ${SUBMODULE_BRANCH}
+git pull origin ${SUBMODULE_BRANCH}
+git checkout main
+git pull origin main
+gh pr create -t "${PR_TITLE}" -b "${PR_BODY}" -B ${SUBMODULE_BRANCH}
diff --git a/pyproject.toml b/pyproject.toml
index c854e5fb9b..5dd464fe33 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,80 +1,137 @@
 [tool.poetry]
 name = "vocode"
-version = "0.1.111a4"
+version = "0.1.114a2"
 description = "The all-in-one voice SDK"
 authors = ["Ajay Raj <ajay@vocode.dev>"]
 license = "MIT License"
 readme = "README.md"
 homepage = "https://github.com/vocodedev/vocode-python"
 
+
 [tool.poetry.dependencies]
-python = ">=3.8.1,<3.12"
+python = ">=3.10,<4.0"
+aiohttp = "^3.9.5"
+anthropic = "^0.28.0"
+azure-cognitiveservices-speech = "^1.38.0"
+elevenlabs = "^1.2.2"
+fastapi = "^0.111.0"
+janus = "^1.0.0"
+jinja2 = "^3.1.4"
+jsonschema = "^4.22.0"
+loguru = "^0.7.2"
+miniaudio = "^1.59.0"
+numpy = "^1.26.4"
+openai = "^1.30.5"
+opentelemetry-sdk = "^1.24.0"
+phonenumbers = "^8.13.37"
+pydantic = "^2.7.2"
+pydantic-settings = "^2.3.0"
 pydub = "^0.25.1"
+pyht = "^0.0.28"
+redis = "^5.0.4"
+requests = "^2.32.3"
+sentry-sdk = { extras = ["fastapi"], version = "^2.3.1" }
+sounddevice = "^0.4.7"
+tiktoken = "^0.7.0"
+uvicorn = "^0.30.0"
+websockets = "^14.1"
 nltk = "^3.8.1"
-openai = "^0.27.8"
-sounddevice = "^0.4.6"
-azure-cognitiveservices-speech = "^1.27.0"
-websockets = "^11.0.2"
-requests = "^2.28.2"
-uvicorn = "^0.21.1"
-fastapi = "^0.95.1"
-jinja2 = "^3.1.2"
-python-multipart = "^0.0.6"
-six = "^1.16.0"
-opentelemetry-sdk = "^1.17.0"
-janus = "^1.0.0"
-scipy = "^1.10.1"
-anthropic = "^0.2.9"
 
-elevenlabs = {version = "^0.2.6", optional = true}
-google-cloud-texttospeech = {version = "^2.14.1", optional = true}
-gtts = {version = "^2.3.1", optional = true}
+# LLM Providers
+groq = { version = "^0.9.0", optional = true }
 
-google-cloud-speech = {version = "^2.19.0", optional = true}
+# Synthesizers
+google-cloud-texttospeech = { version = "^2.16.3", optional = true }
+pvkoala = { version = "^2.0.1", optional = true }
+cartesia = {version = "^1.1.0", optional = true}
 
-redis = {version = "^4.5.4", optional = true}
-twilio = {version = "^8.1.0", optional = true}
-vonage = {version = "^3.5.1", optional = true}
-nylas = {version = "^5.14.0", optional = true}
-speechrecognition = "^3.10.0"
-aiohttp = "^3.8.4"
-langchain = "^0.0.198"
-google-cloud-aiplatform = {version = "^1.26.0", optional = true}
-miniaudio = "^1.59"
+# Transcribers
+google-cloud-speech = { version = "^2.26.0", optional = true }
 
+# Telephony
+twilio = { version = "^9.1.0", optional = true }
+vonage = { version = "^3.14.0", optional = true }
 
-[tool.poetry.group.lint.dependencies]
-black = "^23.1.0"
+# Langchain
+langchain = { version = "^0.2.3", optional = true }
+langchain-community = { version = "^0.2.4", optional = true }
+langchain-openai = { version = "^0.1.8", optional = true }
+langchain-anthropic = { version = "^0.1.15", optional = true }
+langchain-google-vertexai = { version = "^1.0.5", optional = true }
 
+# LiveKit
+livekit = { version = "^0.11.1", optional = true }
 
-[tool.poetry.group.dev.dependencies]
-python-dotenv = "^1.0.0"
-pytest = "^7.3.1"
-pytest-asyncio = "^0.21.0"
-aioresponses = "^0.7.4"
-pre-commit = "^3.3.3"
-
+[tool.poetry.group.lint.dependencies]
+black = "^24.4.2"
+isort = "^5.13.2"
 
 [tool.poetry.group.typing.dependencies]
-mypy = "^1.3.0"
+mypy = "^1.10.0"
 pydub-stubs = "^0.25.1.0"
-types-requests = "^2.30.0.0"
-types-regex = "^2023.5.5.0"
-types-redis = "^4.5.5.2"
+types-redis = "^4.6.0"
+types-regex = "^2024.5.15.20240519"
+types-requests = "^2.32.0.20240523"
+
+[tool.poetry.group.dev.dependencies]
+aioresponses = "^0.7.6"
+coverage = "^7.5.3"
+fakeredis = "^2.23.2"
+pytest = "^8.2.1"
+pytest-asyncio = "^0.23.7"
+pytest-cov = "^5.0.0"
+pytest-env = "^1.1.3"
+pytest-httpx = "^0.30.0"
+pytest-mock = "^3.14.0"
+
+[tool.poetry.extras]
+synthesizers = [
+    "google-cloud-texttospeech",
+    "pvkoala",
+    "cartesia",
+]
+transcribers = ["google-cloud-speech"]
+telephony = ["twilio", "vonage"]
+langchain = ["langchain", "langchain-community"]
+langchain-extras = ["langchain-openai", "langchain-anthropic", "langchain-google-vertexai"]
+all = [
+    "google-cloud-texttospeech",
+    "pvkoala",
+    "google-cloud-speech",
+    "twilio",
+    "vonage",
+    "langchain",
+    "langchain-community",
+    "langchain-openai",
+    "langchain-anthropic",
+    "langchain-google-vertexai",
+    "cartesia",
+    "groq",
+    "livekit"
+]
 
 [tool.mypy]
-ignore_missing_imports = "True"
+ignore_missing_imports = true
 exclude = ["venv", ".venv"]
-explicit_package_bases = "True"
+explicit_package_bases = true
 
 
-[tool.poetry.extras]
-synthesizers = ["gtts", "google-cloud-texttospeech", "elevenlabs"]
-transcribers = ["google-cloud-speech"]
-telephony = ["twilio", "redis", "vonage"]
-agents = ["google-cloud-aiplatform"]
-actions = ["nylas"]
-all = ["gtts", "google-cloud-texttospeech", "elevenlabs", "google-cloud-speech", "google-cloud-aiplatform", "twilio", "redis", "nylas", "vonage"]
+[tool.pytest.ini_options]
+addopts = "--basetemp=/tmp/pytest"
+testpaths = ["tests"]
+
+[tool.pytest_env]
+ENVIRONMENT = "test"
+AZURE_OPENAI_API_BASE_EAST_US = "https://api.openai.com"
+AZURE_OPENAI_API_KEY_EAST_US = "test"
+
+
+[tool.black]
+line-length = 100
+
+[tool.isort]
+profile = "black"
+line_length = 100
 
 
 [build-system]
diff --git a/quickstarts/hosted/inbound_call_server.py b/quickstarts/hosted/inbound_call_server.py
deleted file mode 100644
index 6e5e81741a..0000000000
--- a/quickstarts/hosted/inbound_call_server.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import os
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.telephony import TwilioConfig
-from vocode.streaming.telephony.hosted.inbound_call_server import InboundCallServer
-from vocode.streaming.models.agent import EchoAgentConfig
-
-if __name__ == "__main__":
-    server = InboundCallServer(
-        agent_config=EchoAgentConfig(initial_message=BaseMessage(text="hello!")),
-        twilio_config=TwilioConfig(
-            account_sid=os.environ["TWILIO_ACCOUNT_SID"],
-            auth_token=os.environ["TWILIO_AUTH_TOKEN"],
-        ),
-    )
-    server.run(port=3002)
diff --git a/quickstarts/hosted/outbound_call.py b/quickstarts/hosted/outbound_call.py
deleted file mode 100644
index f62633d7fc..0000000000
--- a/quickstarts/hosted/outbound_call.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import os
-from vocode.streaming.telephony.hosted.outbound_call import OutboundCall
-from vocode.streaming.models.telephony import CallEntity, TwilioConfig
-from vocode.streaming.models.agent import ChatGPTAgentConfig
-from vocode.streaming.models.message import BaseMessage
-import vocode
-
-vocode.api_key = "YOUR_API_KEY"
-
-if __name__ == "__main__":
-    call = OutboundCall(
-        recipient=CallEntity(phone_number="<your phone number>"),
-        caller=CallEntity(
-            phone_number="<your verified caller ID>",
-        ),
-        agent_config=ChatGPTAgentConfig(
-            initial_message=BaseMessage(text="the quick fox jumped over the lazy dog "),
-            prompt_preamble="respond two sentences at a time",
-        ),
-        twilio_config=TwilioConfig(
-            account_sid=os.environ["TWILIO_ACCOUNT_SID"],
-            auth_token=os.environ["TWILIO_AUTH_TOKEN"],
-        ),
-    )
-    call.start()
-    input("Press enter to end the call...")
-    call.end()
diff --git a/quickstarts/hosted/streaming_conversation.py b/quickstarts/hosted/streaming_conversation.py
deleted file mode 100644
index 32b084f4b7..0000000000
--- a/quickstarts/hosted/streaming_conversation.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import asyncio
-import logging
-import signal
-from vocode.streaming.hosted_streaming_conversation import HostedStreamingConversation
-from vocode.streaming.streaming_conversation import StreamingConversation
-from vocode.helpers import create_streaming_microphone_input_and_speaker_output
-from vocode.streaming.models.transcriber import (
-    DeepgramTranscriberConfig,
-    PunctuationEndpointingConfig,
-)
-from vocode.streaming.models.agent import ChatGPTAgentConfig
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
-import vocode
-
-vocode.api_key = "<YOUR API KEY>"
-
-logging.basicConfig()
-logging.root.setLevel(logging.INFO)
-
-
-async def main():
-    (
-        microphone_input,
-        speaker_output,
-    ) = create_streaming_microphone_input_and_speaker_output(
-        use_default_devices=False,
-    )
-
-    conversation = HostedStreamingConversation(
-        input_device=microphone_input,
-        output_device=speaker_output,
-        transcriber_config=DeepgramTranscriberConfig.from_input_device(
-            microphone_input,
-            endpointing_config=PunctuationEndpointingConfig(),
-        ),
-        agent_config=ChatGPTAgentConfig(
-            initial_message=BaseMessage(text="Hello!"),
-            prompt_preamble="The AI is having a pleasant conversation about life",
-        ),
-        synthesizer_config=AzureSynthesizerConfig.from_output_device(speaker_output),
-    )
-    signal.signal(signal.SIGINT, lambda _0, _1: conversation.deactivate())
-    await conversation.start()
-
-
-if __name__ == "__main__":
-    asyncio.run(main())
diff --git a/quickstarts/hosted/zoom_dial_in.py b/quickstarts/hosted/zoom_dial_in.py
deleted file mode 100644
index 566ac2e20f..0000000000
--- a/quickstarts/hosted/zoom_dial_in.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import os
-from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
-from vocode.streaming.telephony.hosted.outbound_call import OutboundCall
-from vocode.streaming.models.telephony import CallEntity, TwilioConfig
-from vocode.streaming.models.agent import EchoAgentConfig, ChatGPTAgentConfig
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.telephony.hosted.zoom_dial_in import ZoomDialIn
-
-if __name__ == "__main__":
-    call = ZoomDialIn(
-        recipient=CallEntity(phone_number="<your zoom phone number>"),
-        caller=CallEntity(
-            phone_number="<your phone number>",
-        ),
-        zoom_meeting_id="<your zoom meeting id>",
-        zoom_meeting_password="<your zoom meeting password>",
-        agent_config=ChatGPTAgentConfig(
-            initial_message=BaseMessage(text="the quick fox jumped over the lazy dog "),
-            prompt_preamble="respond two sentences at a time",
-            generate_responses=True,
-            end_conversation_on_goodbye=True,
-            send_filler_audio=True,
-            allowed_idle_time_seconds=30,
-        ),
-        synthesizer_config=AzureSynthesizerConfig.from_telephone_output_device(
-            voice_name="en-US-JennyNeural"
-        ),
-        twilio_config=TwilioConfig(
-            account_sid=os.environ["TWILIO_ACCOUNT_SID"],
-            auth_token=os.environ["TWILIO_AUTH_TOKEN"],
-        ),
-    )
-    call.start()
-    input("Press enter to end the call...")
-    call.end()
diff --git a/quickstarts/streaming_conversation.py b/quickstarts/streaming_conversation.py
index d02124a6b4..61a83e64e4 100644
--- a/quickstarts/streaming_conversation.py
+++ b/quickstarts/streaming_conversation.py
@@ -1,25 +1,47 @@
 import asyncio
-import logging
 import signal
-from dotenv import load_dotenv
 
+from pydantic_settings import BaseSettings, SettingsConfigDict
 
-load_dotenv()
-
-from vocode.streaming.streaming_conversation import StreamingConversation
 from vocode.helpers import create_streaming_microphone_input_and_speaker_output
-from vocode.streaming.transcriber import *
-from vocode.streaming.agent import *
-from vocode.streaming.synthesizer import *
-from vocode.streaming.models.transcriber import *
-from vocode.streaming.models.agent import *
-from vocode.streaming.models.synthesizer import *
+from vocode.logging import configure_pretty_logging
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.models.agent import ChatGPTAgentConfig
 from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
+from vocode.streaming.models.transcriber import (
+    DeepgramTranscriberConfig,
+    PunctuationEndpointingConfig,
+)
+from vocode.streaming.streaming_conversation import StreamingConversation
+from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
+from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
+
+configure_pretty_logging()
+
+
+class Settings(BaseSettings):
+    """
+    Settings for the streaming conversation quickstart.
+    These parameters can be configured with environment variables.
+    """
 
+    openai_api_key: str = "ENTER_YOUR_OPENAI_API_KEY_HERE"
+    azure_speech_key: str = "ENTER_YOUR_AZURE_KEY_HERE"
+    deepgram_api_key: str = "ENTER_YOUR_DEEPGRAM_API_KEY_HERE"
 
-logging.basicConfig()
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
+    azure_speech_region: str = "eastus"
+
+    # This means a .env file can be used to overload these settings
+    # ex: "OPENAI_API_KEY=my_key" will set openai_api_key over the default above
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+        extra="ignore",
+    )
+
+
+settings = Settings()
 
 
 async def main():
@@ -28,8 +50,6 @@ async def main():
         speaker_output,
     ) = create_streaming_microphone_input_and_speaker_output(
         use_default_devices=False,
-        logger=logger,
-        use_blocking_speaker_output=True,  # this moves the playback to a separate thread, set to False to use the main thread
     )
 
     conversation = StreamingConversation(
@@ -38,24 +58,25 @@ async def main():
             DeepgramTranscriberConfig.from_input_device(
                 microphone_input,
                 endpointing_config=PunctuationEndpointingConfig(),
-            )
+                api_key=settings.deepgram_api_key,
+            ),
         ),
         agent=ChatGPTAgent(
             ChatGPTAgentConfig(
+                openai_api_key=settings.openai_api_key,
                 initial_message=BaseMessage(text="What up"),
                 prompt_preamble="""The AI is having a pleasant conversation about life""",
             )
         ),
         synthesizer=AzureSynthesizer(
-            AzureSynthesizerConfig.from_output_device(speaker_output)
+            AzureSynthesizerConfig.from_output_device(speaker_output),
+            azure_speech_key=settings.azure_speech_key,
+            azure_speech_region=settings.azure_speech_region,
         ),
-        logger=logger,
     )
     await conversation.start()
     print("Conversation started, press Ctrl+C to end")
-    signal.signal(
-        signal.SIGINT, lambda _0, _1: asyncio.create_task(conversation.terminate())
-    )
+    signal.signal(signal.SIGINT, lambda _0, _1: asyncio.create_task(conversation.terminate()))
     while conversation.is_active():
         chunk = await microphone_input.get_audio()
         conversation.receive_audio(chunk)
diff --git a/quickstarts/turn_based_conversation.py b/quickstarts/turn_based_conversation.py
index 4afaaeb9b1..4fb215c322 100644
--- a/quickstarts/turn_based_conversation.py
+++ b/quickstarts/turn_based_conversation.py
@@ -1,21 +1,29 @@
-import logging
-from dotenv import load_dotenv
-from vocode import getenv
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
 from vocode.helpers import create_turn_based_microphone_input_and_speaker_output
 from vocode.turn_based.agent.chat_gpt_agent import ChatGPTAgent
 from vocode.turn_based.synthesizer.azure_synthesizer import AzureSynthesizer
-from vocode.turn_based.synthesizer.eleven_labs_synthesizer import ElevenLabsSynthesizer
 from vocode.turn_based.transcriber.whisper_transcriber import WhisperTranscriber
 from vocode.turn_based.turn_based_conversation import TurnBasedConversation
 
-logging.basicConfig()
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.INFO)
 
-load_dotenv()
+class Settings(BaseSettings):
+    """
+    Settings for the turn-based conversation quickstart.
+    These parameters can be configured with environment variables.
+    """
+
+    openai_api_key: str = "ENTER_YOUR_OPENAI_API_KEY_HERE"
+    azure_speech_key: str = "ENTER_YOUR_AZURE_KEY_HERE"
+
+    azure_speech_region: str = "eastus"
+
+    # This means a .env file can be used to overload these settings
+    # ex: "OPENAI_API_KEY=my_key" will set openai_api_key over the default above
+    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
+
 
-# See https://api.elevenlabs.io/v1/voices
-ADAM_VOICE_ID = "pNInz6obpgDQGcFmaJgB"
+settings = Settings()
 
 if __name__ == "__main__":
     (
@@ -23,24 +31,22 @@
         speaker_output,
     ) = create_turn_based_microphone_input_and_speaker_output(
         use_default_devices=False,
-        logger=logger,
     )
 
     conversation = TurnBasedConversation(
         input_device=microphone_input,
         output_device=speaker_output,
-        transcriber=WhisperTranscriber(api_key=getenv("OPENAI_API_KEY")),
+        transcriber=WhisperTranscriber(api_key=settings.openai_api_key),
         agent=ChatGPTAgent(
             system_prompt="The AI is having a pleasant conversation about life",
             initial_message="Hello!",
-            api_key=getenv("OPENAI_API_KEY"),
+            api_key=settings.openai_api_key,
         ),
         synthesizer=AzureSynthesizer(
-            api_key=getenv("AZURE_SPEECH_KEY"),
-            region=getenv("AZURE_SPEECH_REGION"),
+            api_key=settings.azure_speech_key,
+            region=settings.azure_speech_region,
             voice_name="en-US-SteffanNeural",
         ),
-        logger=logger,
     )
     print("Starting conversation. Press Ctrl+C to exit.")
     while True:
diff --git a/roadmap.md b/roadmap.md
index 27fc2cc209..0a4c375038 100644
--- a/roadmap.md
+++ b/roadmap.md
@@ -27,6 +27,7 @@ Our roadmap; if an issue has been created or the feature is currently being work
   - [x] Bark
   - [x] [Play.ht](http://Play.ht)
   - [x] Eleven Labs
+  - [x] Cartesia
   - [ ] Amazon Polly
   - [ ] Resemble.AI
 
diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 0000000000..59e0c43589
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,66 @@
+import os
+from typing import Generator
+from unittest import mock
+
+import pytest
+from fakeredis import FakeAsyncRedis
+from pytest import FixtureRequest, MonkeyPatch
+
+
+@pytest.fixture(scope="session")
+def default_env_vars() -> dict[str, str]:
+    """
+    Defines default environment variables for the test session.
+
+    This fixture provides a dictionary of default environment variables that are
+    commonly used across tests. It can be overridden in submodule scoped `conftest.py`
+    files or directly in tests.
+
+    :return: A dictionary of default environment variables.
+    """
+    return {
+        "ENVIRONMENT": "test",
+        "AZURE_OPENAI_API_BASE_EAST_US": "https://api.openai.com",
+        "AZURE_OPENAI_API_KEY_EAST_US": "test",
+    }
+
+
+@pytest.fixture()
+def mock_env(
+    monkeypatch: MonkeyPatch, request: pytest.FixtureRequest, default_env_vars: dict[str, str]
+) -> Generator[None, None, None]:
+    """
+    Temporarily sets environment variables for testing.
+
+    This fixture allows tests to run with a modified set of environment variables,
+    either using the default set provided by `default_env_vars` or overridden by
+    test-specific parameters. It ensures that changes to environment variables do
+    not leak between tests.
+
+    :param monkeypatch: The pytest monkeypatch fixture for modifying environment variables.
+    :param request: The pytest FixtureRequest object for accessing test-specific overrides.
+    :param default_env_vars: A dictionary of default environment variables.
+    :yield: None. This is a setup-teardown fixture that cleans up after itself.
+    """
+    envvars = default_env_vars.copy()
+    if hasattr(request, "param") and isinstance(request.param, dict):
+        envvars.update(request.param)
+
+    with mock.patch.dict(os.environ, envvars):
+        yield
+
+
+@pytest.fixture
+def redis_client(request: FixtureRequest) -> FakeAsyncRedis:
+    """
+    Provides a fake Redis client for asynchronous operations.
+
+    This fixture can be used in tests that require a Redis client but should not
+    interact with a real Redis instance. It leverages fakeredis to simulate Redis
+    operations in memory without any external dependencies.
+
+    :param request: The pytest request object, used here for potential future extensions.
+    :return: An instance of a fake Redis client.
+    """
+    redis_client = FakeAsyncRedis()
+    return redis_client
diff --git a/tests/fakedata/conversation.py b/tests/fakedata/conversation.py
new file mode 100644
index 0000000000..890dcb44ec
--- /dev/null
+++ b/tests/fakedata/conversation.py
@@ -0,0 +1,135 @@
+import asyncio
+from typing import Optional
+
+from pytest_mock import MockerFixture
+
+from vocode.streaming.agent.base_agent import BaseAgent
+from vocode.streaming.models.agent import AgentConfig, ChatGPTAgentConfig
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import PlayHtSynthesizerConfig, SynthesizerConfig
+from vocode.streaming.models.transcriber import DeepgramTranscriberConfig, TranscriberConfig
+from vocode.streaming.output_device.abstract_output_device import AbstractOutputDevice
+from vocode.streaming.output_device.audio_chunk import ChunkState
+from vocode.streaming.streaming_conversation import StreamingConversation
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer
+from vocode.streaming.telephony.constants import DEFAULT_CHUNK_SIZE, DEFAULT_SAMPLING_RATE
+from vocode.streaming.transcriber.base_transcriber import BaseTranscriber
+from vocode.streaming.transcriber.deepgram_transcriber import DeepgramEndpointingConfig
+from vocode.streaming.utils.events_manager import EventsManager
+
+DEFAULT_DEEPGRAM_TRANSCRIBER_CONFIG = DeepgramTranscriberConfig(
+    chunk_size=DEFAULT_CHUNK_SIZE,
+    sampling_rate=DEFAULT_SAMPLING_RATE,
+    audio_encoding=AudioEncoding.MULAW,
+    endpointing_config=DeepgramEndpointingConfig(),
+    model="2-phonecall",
+    tier="nova",
+)
+
+DEFAULT_SYNTHESIZER_CONFIG = PlayHtSynthesizerConfig(
+    voice_id="test_voice_id",
+    sampling_rate=DEFAULT_SAMPLING_RATE,
+    audio_encoding=AudioEncoding.MULAW,
+)
+
+DEFAULT_CHAT_GPT_AGENT_CONFIG = ChatGPTAgentConfig(
+    prompt_preamble="You are an agent of chaos", initial_message=BaseMessage(text="Hi there!")
+)
+
+
+class DummyOutputDevice(AbstractOutputDevice):
+
+    def __init__(
+        self,
+        sampling_rate: int,
+        audio_encoding: AudioEncoding,
+        wait_for_interrupt: bool = False,
+        chunks_before_interrupt: int = 1,
+    ):
+        super().__init__(sampling_rate, audio_encoding)
+        self.wait_for_interrupt = wait_for_interrupt
+        self.chunks_before_interrupt = chunks_before_interrupt
+        self.interrupt_event = asyncio.Event()
+        self.dummy_playback_queue = asyncio.Queue()
+
+    async def process(self, item):
+        self.interruptible_event = item
+        audio_chunk = item.payload
+
+        if item.is_interrupted():
+            audio_chunk.on_interrupt()
+            audio_chunk.state = ChunkState.INTERRUPTED
+        else:
+            self.dummy_playback_queue.put_nowait(audio_chunk)
+            audio_chunk.on_play()
+            audio_chunk.state = ChunkState.PLAYED
+            self.interruptible_event.is_interruptible = False
+
+    async def _run_loop(self):
+        chunk_counter = 0
+        while True:
+            try:
+                item = await self._input_queue.get()
+            except asyncio.CancelledError:
+                return
+            if self.wait_for_interrupt and chunk_counter == self.chunks_before_interrupt:
+                await self.interrupt_event.wait()
+            await self.process(item)
+            chunk_counter += 1
+
+    def flush(self):
+        while True:
+            try:
+                item = self._input_queue.get_nowait()
+            except asyncio.QueueEmpty:
+                break
+            self.process(item)
+
+    def interrupt(self):
+        pass
+
+
+def create_fake_transcriber(mocker: MockerFixture, transcriber_config: TranscriberConfig):
+    transcriber = mocker.MagicMock()
+    transcriber.get_transcriber_config = mocker.MagicMock(return_value=transcriber_config)
+    return transcriber
+
+
+def create_fake_agent(mocker: MockerFixture, agent_config: AgentConfig):
+    agent = mocker.MagicMock()
+    agent.get_agent_config = mocker.MagicMock(return_value=agent_config)
+    return agent
+
+
+def create_fake_synthesizer(mocker: MockerFixture, synthesizer_config: SynthesizerConfig):
+    synthesizer = mocker.MagicMock()
+    synthesizer.get_synthesizer_config = mocker.MagicMock(return_value=synthesizer_config)
+    return synthesizer
+
+
+def create_fake_streaming_conversation(
+    mocker: MockerFixture,
+    transcriber: Optional[BaseTranscriber[TranscriberConfig]] = None,
+    agent: Optional[BaseAgent] = None,
+    synthesizer: Optional[BaseSynthesizer] = None,
+    speed_coefficient: float = 1.0,
+    conversation_id: Optional[str] = None,
+    events_manager: Optional[EventsManager] = None,
+):
+    transcriber = transcriber or create_fake_transcriber(
+        mocker, DEFAULT_DEEPGRAM_TRANSCRIBER_CONFIG
+    )
+    agent = agent or create_fake_agent(mocker, DEFAULT_CHAT_GPT_AGENT_CONFIG)
+    synthesizer = synthesizer or create_fake_synthesizer(mocker, DEFAULT_SYNTHESIZER_CONFIG)
+    return StreamingConversation(
+        output_device=DummyOutputDevice(
+            sampling_rate=DEFAULT_SAMPLING_RATE, audio_encoding=AudioEncoding.MULAW
+        ),
+        transcriber=transcriber,
+        agent=agent,
+        synthesizer=synthesizer,
+        speed_coefficient=speed_coefficient,
+        conversation_id=conversation_id,
+        events_manager=events_manager,
+    )
diff --git a/tests/fakedata/id.py b/tests/fakedata/id.py
new file mode 100644
index 0000000000..7117ba458b
--- /dev/null
+++ b/tests/fakedata/id.py
@@ -0,0 +1,5 @@
+import uuid
+
+
+def generate_uuid() -> uuid.UUID:
+    return uuid.uuid4()
diff --git a/tests/fixtures/synthesizer.py b/tests/fixtures/synthesizer.py
new file mode 100644
index 0000000000..6181db2a20
--- /dev/null
+++ b/tests/fixtures/synthesizer.py
@@ -0,0 +1,50 @@
+import wave
+from io import BytesIO
+
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import SynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
+
+
+def create_fake_audio(message: str, synthesizer_config: SynthesizerConfig):
+    file = BytesIO()
+    with wave.open(file, "wb") as wave_file:
+        wave_file.setnchannels(1)
+        wave_file.setsampwidth(2)
+        wave_file.setframerate(synthesizer_config.sampling_rate)
+        wave_file.writeframes(message.encode())
+    file.seek(0)
+    return file
+
+
+class TestSynthesizerConfig(SynthesizerConfig, type="synthesizer_test"):
+    __test__ = False
+
+
+class TestSynthesizer(BaseSynthesizer[TestSynthesizerConfig]):
+    """Accepts text and creates a SynthesisResult containing audio data which is the same as the text as bytes."""
+
+    __test__ = False
+
+    def __init__(self, synthesizer_config: SynthesizerConfig):
+        super().__init__(synthesizer_config)
+
+    async def create_speech_uncached(
+        self,
+        message: BaseMessage,
+        chunk_size: int,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
+    ) -> SynthesisResult:
+        return self.create_synthesis_result_from_wav(
+            synthesizer_config=self.synthesizer_config,
+            message=message,
+            chunk_size=chunk_size,
+            file=create_fake_audio(
+                message=message.text, synthesizer_config=self.synthesizer_config
+            ),
+        )
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: TestSynthesizerConfig) -> str:
+        return "test_voice"
diff --git a/tests/fixtures/transcriber.py b/tests/fixtures/transcriber.py
new file mode 100644
index 0000000000..4c1b2e9f49
--- /dev/null
+++ b/tests/fixtures/transcriber.py
@@ -0,0 +1,24 @@
+import asyncio
+
+from vocode.streaming.models.transcriber import TranscriberConfig
+from vocode.streaming.transcriber.base_transcriber import BaseAsyncTranscriber, Transcription
+
+
+class TestTranscriberConfig(TranscriberConfig, type="transcriber_test"):
+    __test__ = False
+
+
+class TestAsyncTranscriber(BaseAsyncTranscriber[TestTranscriberConfig]):
+    """Accepts fake audio chunks and sends out transcriptions which are the same as the audio chunks."""
+
+    __test__ = False
+
+    async def _run_loop(self):
+        while True:
+            try:
+                audio_chunk = await self._input_queue.get()
+                self.produce_nonblocking(
+                    Transcription(message=audio_chunk.decode("utf-8"), confidence=1, is_final=True)
+                )
+            except asyncio.CancelledError:
+                return
diff --git a/tests/streaming/__init__.py b/tests/streaming/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/tests/streaming/action/conftest.py b/tests/streaming/action/conftest.py
new file mode 100644
index 0000000000..622af9fa30
--- /dev/null
+++ b/tests/streaming/action/conftest.py
@@ -0,0 +1,31 @@
+import pytest
+
+
+@pytest.fixture(scope="session")
+def default_env_vars(default_env_vars: dict[str, str]) -> dict[str, str]:
+    """
+    Extends the `default_env_vars` fixture specifically for the submodule.
+
+    This fixture takes the session-scoped `default_env_vars` fixture from the parent conftest.py
+    and extends or overrides it with additional or modified environment variables specific to
+    the submodule.
+
+    :param default_env_vars: The inherited `default_env_vars` fixture from the parent conftest.
+    :return: A modified dictionary of default environment variables for the submodule.
+    """
+    submodule_env_vars = default_env_vars.copy()
+
+    submodule_env_vars.update(
+        {
+            "VONAGE_API_KEY": "test",
+            "VONAGE_API_SECRET": "test",
+            "VONAGE_APPLICATION_ID": "test",
+            "VONAGE_PRIVATE_KEY": """-----BEGIN PRIVATE KEY-----
+fake_key
+-----END PRIVATE KEY-----""",
+            "BASE_URL": "test",
+            "CALL_SERVER_BASE_URL": "test2",
+        }
+    )
+
+    return submodule_env_vars
diff --git a/tests/streaming/action/test_dtmf.py b/tests/streaming/action/test_dtmf.py
new file mode 100644
index 0000000000..6466aeb8b6
--- /dev/null
+++ b/tests/streaming/action/test_dtmf.py
@@ -0,0 +1,156 @@
+import asyncio
+import base64
+import json
+
+import pytest
+from aioresponses import aioresponses
+from pytest_mock import MockerFixture
+
+from tests.fakedata.id import generate_uuid
+from vocode.streaming.action.dtmf import (
+    DTMFParameters,
+    DTMFVocodeActionConfig,
+    TwilioDTMF,
+    VonageDTMF,
+)
+from vocode.streaming.models.actions import (
+    TwilioPhoneConversationActionInput,
+    VonagePhoneConversationActionInput,
+)
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.telephony import VonageConfig
+from vocode.streaming.output_device.twilio_output_device import TwilioOutputDevice
+from vocode.streaming.utils import create_conversation_id
+from vocode.streaming.utils.dtmf_utils import DTMFToneGenerator
+from vocode.streaming.utils.state_manager import (
+    TwilioPhoneConversationStateManager,
+    VonagePhoneConversationStateManager,
+)
+
+
+@pytest.mark.asyncio
+async def test_vonage_dtmf_press_digits(mocker, mock_env):
+    action = VonageDTMF(action_config=DTMFVocodeActionConfig())
+    vonage_uuid = generate_uuid()
+    digits = "1234*#"
+
+    vonage_phone_conversation_mock = mocker.MagicMock()
+    vonage_config = VonageConfig(
+        api_key="api_key",
+        api_secret="api_secret",
+        application_id="application_id",
+        private_key="-----BEGIN PRIVATE KEY-----\nasdf\n-----END PRIVATE KEY-----",
+    )
+    vonage_phone_conversation_mock.vonage_config = vonage_config
+    mocker.patch("vonage.Client._create_jwt_auth_string", return_value=b"asdf")
+
+    action.attach_conversation_state_manager(
+        VonagePhoneConversationStateManager(vonage_phone_conversation_mock)
+    )
+
+    assert (
+        action.conversation_state_manager.create_vonage_client().get_telephony_config()
+        == vonage_config
+    )
+
+    with aioresponses() as m:
+        m.put(
+            f"https://api.nexmo.com/v1/calls/{vonage_uuid}/dtmf",
+            status=200,
+        )
+        action_output = await action.run(
+            action_input=VonagePhoneConversationActionInput(
+                action_config=DTMFVocodeActionConfig(),
+                conversation_id=create_conversation_id(),
+                params=DTMFParameters(buttons=digits),
+                vonage_uuid=str(vonage_uuid),
+            )
+        )
+
+        assert action_output.response.success is True
+
+
+@pytest.fixture
+def mock_twilio_output_device(mocker: MockerFixture):
+    output_device = TwilioOutputDevice()
+    output_device.ws = mocker.AsyncMock()
+    output_device.stream_sid = "stream_sid"
+    return output_device
+
+
+@pytest.fixture
+def mock_twilio_phone_conversation(
+    mocker: MockerFixture, mock_twilio_output_device: TwilioOutputDevice
+):
+    twilio_phone_conversation_mock = mocker.MagicMock()
+    twilio_phone_conversation_mock.output_device = mock_twilio_output_device
+    return twilio_phone_conversation_mock
+
+
+@pytest.mark.asyncio
+async def test_twilio_dtmf_press_digits(
+    mocker, mock_env, mock_twilio_phone_conversation, mock_twilio_output_device: TwilioOutputDevice
+):
+    action = TwilioDTMF(action_config=DTMFVocodeActionConfig())
+    digits = "1234*#"
+    twilio_sid = "twilio_sid"
+
+    action.attach_conversation_state_manager(
+        TwilioPhoneConversationStateManager(mock_twilio_phone_conversation)
+    )
+
+    action_output = await action.run(
+        action_input=TwilioPhoneConversationActionInput(
+            action_config=DTMFVocodeActionConfig(),
+            conversation_id=create_conversation_id(),
+            params=DTMFParameters(buttons=digits),
+            twilio_sid=twilio_sid,
+        )
+    )
+
+    mock_twilio_output_device.start()
+    max_wait_seconds = 1
+    waited_seconds = 0
+    while mock_twilio_output_device.ws.send_text.call_count < len(digits):
+        await asyncio.sleep(0.1)
+        waited_seconds += 0.1
+        if waited_seconds > max_wait_seconds:
+            assert False, "Timed out waiting for DTMF tones to be sent"
+
+    assert action_output.response.success
+    await mock_twilio_output_device.terminate()
+
+    for digit, call in zip(digits, mock_twilio_output_device.ws.send_text.call_args_list):
+        expected_dtmf = DTMFToneGenerator().generate(
+            digit, sampling_rate=8000, audio_encoding=AudioEncoding.MULAW
+        )
+        media_message = json.loads(call[0][0])
+        assert media_message["streamSid"] == mock_twilio_output_device.stream_sid
+        assert media_message["media"] == {
+            "payload": base64.b64encode(expected_dtmf).decode("utf-8")
+        }
+
+
+@pytest.mark.asyncio
+async def test_twilio_dtmf_failure(
+    mocker, mock_env, mock_twilio_phone_conversation, mock_twilio_output_device: TwilioOutputDevice
+):
+    action = TwilioDTMF(action_config=DTMFVocodeActionConfig())
+    digits = "%%%%"
+    twilio_sid = "twilio_sid"
+
+    action.attach_conversation_state_manager(
+        TwilioPhoneConversationStateManager(mock_twilio_phone_conversation)
+    )
+
+    action_output = await action.run(
+        action_input=TwilioPhoneConversationActionInput(
+            action_config=DTMFVocodeActionConfig(),
+            conversation_id=create_conversation_id(),
+            params=DTMFParameters(buttons=digits),
+            twilio_sid=twilio_sid,
+        )
+    )
+
+    assert not action_output.response.success
+    assert action_output.response.message == "Invalid DTMF buttons, can only accept 0-9"
diff --git a/tests/streaming/action/test_end_conversation.py b/tests/streaming/action/test_end_conversation.py
new file mode 100644
index 0000000000..312c72285b
--- /dev/null
+++ b/tests/streaming/action/test_end_conversation.py
@@ -0,0 +1,132 @@
+import asyncio
+from typing import Generator, Type
+from unittest.mock import MagicMock
+from uuid import UUID
+
+import pytest
+from pydantic.v1 import BaseModel
+from pytest_mock import MockerFixture
+
+from tests.fakedata.id import generate_uuid
+from vocode.streaming.action.end_conversation import (
+    EndConversation,
+    EndConversationParameters,
+    EndConversationVocodeActionConfig,
+)
+from vocode.streaming.models.actions import (
+    TwilioPhoneConversationActionInput,
+    VonagePhoneConversationActionInput,
+)
+from vocode.streaming.models.transcript import Transcript
+from vocode.streaming.utils import create_conversation_id
+
+
+class EndConversationActionTestCase(BaseModel):
+    class Config:
+        arbitrary_types_allowed = True
+
+    action: EndConversation
+    vonage_uuid: UUID
+    twilio_sid: str
+    conversation_id: str
+
+
+@pytest.fixture
+def end_conversation_action_test_case(mocker: MockerFixture) -> EndConversationActionTestCase:
+    action = EndConversation(action_config=EndConversationVocodeActionConfig())
+    return EndConversationActionTestCase(
+        action=action,
+        vonage_uuid=generate_uuid(),
+        twilio_sid="twilio_sid",
+        conversation_id=create_conversation_id(),
+    )
+
+
+@pytest.fixture
+def conversation_state_manager_mock(mocker: MockerFixture) -> MagicMock:
+    mock = mocker.MagicMock()
+    mock.terminate_conversation = mocker.AsyncMock()
+    mock.transcript = Transcript()
+    return mock
+
+
+@pytest.fixture
+def user_message_tracker() -> asyncio.Event:
+    tracker = asyncio.Event()
+    tracker.set()
+    return tracker
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "action_input_class, identifier",
+    [
+        (VonagePhoneConversationActionInput, "vonage_uuid"),
+        (TwilioPhoneConversationActionInput, "twilio_sid"),
+    ],
+)
+async def test_end_conversation_success(
+    mocker: MockerFixture,
+    mock_env: Generator,
+    end_conversation_action_test_case: EndConversationActionTestCase,
+    conversation_state_manager_mock: MagicMock,
+    user_message_tracker: asyncio.Event,
+    action_input_class: Type[BaseModel],
+    identifier: str,
+):
+    end_conversation_action_test_case.action.attach_conversation_state_manager(
+        conversation_state_manager_mock
+    )
+
+    identifier_value = getattr(end_conversation_action_test_case, identifier)
+    action_input = action_input_class(
+        action_config=EndConversationVocodeActionConfig(),
+        conversation_id=end_conversation_action_test_case.conversation_id,
+        params=EndConversationParameters(),
+        **{identifier: str(identifier_value)},
+        user_message_tracker=user_message_tracker,
+    )
+
+    response = await end_conversation_action_test_case.action.run(action_input=action_input)
+
+    assert response.response.success
+    assert conversation_state_manager_mock.terminate_conversation.call_count == 1
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "action_input_class, identifier",
+    [
+        (VonagePhoneConversationActionInput, "vonage_uuid"),
+        (TwilioPhoneConversationActionInput, "twilio_sid"),
+    ],
+)
+async def test_end_conversation_fails_if_interrupted(
+    mocker: MockerFixture,
+    mock_env: Generator,
+    end_conversation_action_test_case: EndConversationActionTestCase,
+    conversation_state_manager_mock: MagicMock,
+    user_message_tracker: asyncio.Event,
+    action_input_class: Type[BaseModel],
+    identifier: str,
+):
+    conversation_state_manager_mock.transcript.add_bot_message(
+        "Unfinished", conversation_id=end_conversation_action_test_case.conversation_id
+    )
+    end_conversation_action_test_case.action.attach_conversation_state_manager(
+        conversation_state_manager_mock
+    )
+
+    identifier_value = getattr(end_conversation_action_test_case, identifier)
+    action_input = action_input_class(
+        action_config=EndConversationVocodeActionConfig(),
+        conversation_id=end_conversation_action_test_case.conversation_id,
+        params=EndConversationParameters(),
+        **{identifier: str(identifier_value)},
+        user_message_tracker=user_message_tracker,
+    )
+
+    response = await end_conversation_action_test_case.action.run(action_input=action_input)
+
+    assert not response.response.success
+    assert conversation_state_manager_mock.terminate_conversation.call_count == 0
diff --git a/tests/streaming/action/test_external_actions.py b/tests/streaming/action/test_external_actions.py
new file mode 100644
index 0000000000..315f670d9f
--- /dev/null
+++ b/tests/streaming/action/test_external_actions.py
@@ -0,0 +1,122 @@
+import base64
+import json
+import os
+
+import pytest
+
+from tests.fakedata.id import generate_uuid
+from vocode.streaming.action.execute_external_action import (
+    ExecuteExternalAction,
+    ExecuteExternalActionParameters,
+    ExecuteExternalActionVocodeActionConfig,
+)
+from vocode.streaming.action.external_actions_requester import ExternalActionResponse
+from vocode.streaming.models.actions import (
+    TwilioPhoneConversationActionInput,
+    VonagePhoneConversationActionInput,
+)
+from vocode.streaming.utils import create_conversation_id
+from vocode.streaming.utils.state_manager import (
+    TwilioPhoneConversationStateManager,
+    VonagePhoneConversationStateManager,
+)
+
+ACTION_INPUT_SCHEMA: dict = {
+    "type": "object",
+    "properties": {
+        "length": {"type": "string", "enum": ["30m", "1hr"]},
+        "time": {"type": "string", "pattern": r"^\d{2}:\d0[ap]m$"},
+    },
+}
+
+
+@pytest.fixture
+def action_config() -> dict:
+    """Provides a common action configuration for tests."""
+    return {
+        "processing_mode": "muted",
+        "name": "name",
+        "description": "A description",
+        "url": "https://example.com",
+        "input_schema": json.dumps(ACTION_INPUT_SCHEMA),
+        "speak_on_send": True,
+        "speak_on_receive": True,
+        "signature_secret": base64.b64encode(os.urandom(32)).decode(),
+    }
+
+
+@pytest.fixture
+def execute_action_setup(mocker, action_config) -> ExecuteExternalAction:
+    """Common setup for creating an ExecuteExternalAction instance."""
+    action = ExecuteExternalAction(
+        action_config=ExecuteExternalActionVocodeActionConfig(**action_config),
+    )
+    mocked_requester = mocker.AsyncMock()
+    mocked_requester.send_request.return_value = ExternalActionResponse(
+        result={"test": "test"},
+        agent_message="message!",
+        success=True,
+    )
+    action.external_actions_requester = mocked_requester
+    return action
+
+
+@pytest.fixture
+def mock_twilio_conversation_state_manager(mocker) -> TwilioPhoneConversationStateManager:
+    """Fixture to mock TwilioPhoneConversationStateManager."""
+    manager = mocker.MagicMock(spec=TwilioPhoneConversationStateManager)
+    manager.mute_agent = mocker.MagicMock()
+    # Add any other necessary mock setup here
+    return manager
+
+
+@pytest.fixture
+def mock_vonage_conversation_state_manager(mocker) -> VonagePhoneConversationStateManager:
+    """Fixture to mock VonagePhoneConversationStateManager."""
+    manager = mocker.MagicMock(spec=VonagePhoneConversationStateManager)
+    manager.mute_agent = mocker.MagicMock()
+    # Add any other necessary mock setup here
+    return manager
+
+
+@pytest.mark.asyncio
+async def test_vonage_execute_external_action_success(
+    mocker,
+    mock_vonage_conversation_state_manager: VonagePhoneConversationStateManager,
+    execute_action_setup: ExecuteExternalAction,
+):
+    execute_action_setup.attach_conversation_state_manager(mock_vonage_conversation_state_manager)
+    vonage_uuid = generate_uuid()
+
+    response = await execute_action_setup.run(
+        action_input=VonagePhoneConversationActionInput(
+            action_config=execute_action_setup.action_config,
+            conversation_id=create_conversation_id(),
+            params=ExecuteExternalActionParameters(payload={}),
+            vonage_uuid=str(vonage_uuid),
+        ),
+    )
+
+    assert response.response.success
+    assert response.response.result == {"test": "test"}
+
+
+@pytest.mark.asyncio
+async def test_twilio_execute_external_action_success(
+    mocker,
+    mock_twilio_conversation_state_manager: TwilioPhoneConversationStateManager,
+    execute_action_setup: ExecuteExternalAction,
+):
+    execute_action_setup.attach_conversation_state_manager(mock_twilio_conversation_state_manager)
+
+    response = await execute_action_setup.run(
+        action_input=TwilioPhoneConversationActionInput(
+            action_config=execute_action_setup.action_config,
+            conversation_id=create_conversation_id(),
+            params=ExecuteExternalActionParameters(payload={}),
+            twilio_sid="twilio_sid",
+        ),
+    )
+
+    assert response.response.success
+    assert response.response.result == {"test": "test"}
diff --git a/tests/streaming/action/test_external_actions_requester.py b/tests/streaming/action/test_external_actions_requester.py
new file mode 100644
index 0000000000..86681928cd
--- /dev/null
+++ b/tests/streaming/action/test_external_actions_requester.py
@@ -0,0 +1,88 @@
+import base64
+import hashlib
+import hmac
+import json
+import os
+from typing import Any, Callable, Dict
+
+import httpx
+import pytest
+from httpx import Request, Response
+from pytest_httpx import HTTPXMock
+
+from vocode.streaming.action.external_actions_requester import ExternalActionsRequester
+
+JSON_SCHEMA = {
+    "type": "object",
+    "properties": {
+        "length": {
+            "type": "string",
+            "enum": ["30m", "1hr"],
+        },
+        "time": {
+            "type": "string",
+            "pattern": r"^\d{2}:\d0[ap]m$",
+        },
+    },
+}
+
+
+@pytest.fixture
+def mock_async_client_post(status_code: int, json_response: Dict[str, Any]) -> Callable:
+    async def mock_post(self, url: str, content: str, headers: Dict[str, str] = None) -> Response:
+        request = Request(method="POST", url=url, headers=headers, content=content)
+        return Response(status_code, json=json_response, request=request)
+
+    return mock_post
+
+
+@pytest.fixture
+def requester() -> ExternalActionsRequester:
+    return ExternalActionsRequester("http://test.com")
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "status_code,json_response,expected_success",
+    [
+        (200, {"result": {"key": "value"}, "agent_message": "Success", "success": True}, True),
+        (400, {"detail": "Bad Request"}, False),
+        (401, {"detail": "Unauthorized"}, False),
+        (403, {"detail": "Forbidden"}, False),
+        (500, {"detail": "Server Error"}, False),
+    ],
+)
+async def test_send_request_responses(
+    httpx_mock: HTTPXMock,
+    status_code: int,
+    json_response: Dict[str, Any],
+    expected_success: bool,
+) -> None:
+    url = "http://test.com"
+    httpx_mock.add_response(status_code=status_code, json=json_response, method="POST", url=url)
+
+    requester = ExternalActionsRequester(url)
+    response = await requester.send_request(
+        JSON_SCHEMA,
+        base64.b64encode(os.urandom(32)).decode(),
+        additional_payload_values={"call_id": "call_id"},
+        additional_headers={"x-vocode-test": "test"},
+        transport=httpx.AsyncHTTPTransport(retries=3, verify=True),
+    )
+
+    assert httpx_mock.get_request().headers["x-vocode-test"] == "test"
+    assert "x-vocode-signature" in httpx_mock.get_request().headers
+
+    assert response.success is expected_success
+
+
+@pytest.mark.asyncio
+async def test_requester_encodes_signature_correctly(requester: ExternalActionsRequester):
+    payload = json.dumps({"test": "test"}).encode("utf-8")
+    signature_as_bytes = os.urandom(32)
+    signature = base64.b64encode(signature_as_bytes).decode()
+
+    encoded_payload = requester._encode_payload(payload, signature)
+    decoded_digest = base64.b64decode(encoded_payload)
+    calculated_digest = hmac.new(signature_as_bytes, payload, hashlib.sha256).digest()
+    assert hmac.compare_digest(decoded_digest, calculated_digest)
diff --git a/tests/streaming/action/test_record_email.py b/tests/streaming/action/test_record_email.py
new file mode 100644
index 0000000000..7864dd37ff
--- /dev/null
+++ b/tests/streaming/action/test_record_email.py
@@ -0,0 +1,77 @@
+import pytest
+
+from tests.fakedata.id import generate_uuid
+from vocode.streaming.action.record_email import (
+    RecordEmail,
+    RecordEmailParameters,
+    RecordEmailVocodeActionConfig,
+)
+from vocode.streaming.models.actions import (
+    TwilioPhoneConversationActionInput,
+    VonagePhoneConversationActionInput,
+)
+from vocode.streaming.utils import create_conversation_id
+
+# id is just a description of the parameterized test case's input
+EMAIL_TEST_CASES = [
+    pytest.param("kian@vocode.dev", True, id="valid_email_with_dev"),
+    pytest.param("kian+tester@vocode.net", True, id="valid_email_with_plus_in_local_part"),
+    pytest.param("kian-tester@vocode.org", True, id="valid_email_with_dash_in_local_part"),
+    pytest.param("kian.vocode@dev.com", True, id="valid_email_with_dot_in_local_part"),
+    pytest.param("kian@vocode", False, id="missing_tld"),
+    pytest.param("kian", False, id="missing_at_and_tld"),
+    pytest.param("kian@", False, id="missing_domain"),
+    pytest.param("@vocode.dev", False, id="missing_local_part"),
+    pytest.param(".kian@vocode.dev", False, id="leading_dot_in_local_part"),
+    pytest.param("kian.@vocode.dev", False, id="trailing_dot_in_local_part"),
+    pytest.param("kian..tester@vocode.com", False, id="consecutive_dots_in_local_part"),
+    pytest.param("kian@vo..code.com", False, id="consecutive_dots_in_domain"),
+    pytest.param("kian@vocode.com.", False, id="trailing_dot_in_domain"),
+    pytest.param("ki'an@vocode.net", False, id="apostrophe_in_local_part"),
+    pytest.param("kian@vocode..org", False, id="consecutive_dots_in_tld"),
+    pytest.param("kian@.vocode.net", False, id="leading_dot_in_domain"),
+]
+
+
+@pytest.fixture
+def record_email_action() -> RecordEmail:
+    return RecordEmail(action_config=RecordEmailVocodeActionConfig())
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("email_input,expected_success", EMAIL_TEST_CASES)
+async def test_vonage_email_validation(
+    record_email_action: RecordEmail, email_input: str, expected_success: bool
+):
+    vonage_uuid = generate_uuid()
+    res = await record_email_action.run(
+        action_input=VonagePhoneConversationActionInput(
+            action_config=RecordEmailVocodeActionConfig(),
+            conversation_id=create_conversation_id(),
+            params=RecordEmailParameters(
+                raw_value="",
+                formatted_value=email_input,
+            ),
+            vonage_uuid=str(vonage_uuid),
+        ),
+    )
+    assert res.response.success == expected_success
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("email_input,expected_success", EMAIL_TEST_CASES)
+async def test_twilio_email_validation(
+    record_email_action: RecordEmail, email_input: str, expected_success: bool
+):
+    res = await record_email_action.run(
+        action_input=TwilioPhoneConversationActionInput(
+            action_config=RecordEmailVocodeActionConfig(),
+            conversation_id=create_conversation_id(),
+            params=RecordEmailParameters(
+                raw_value="",
+                formatted_value=email_input,
+            ),
+            twilio_sid="twilio_sid",
+        ),
+    )
+    assert res.response.success == expected_success
diff --git a/tests/streaming/action/test_transfer_call.py b/tests/streaming/action/test_transfer_call.py
new file mode 100644
index 0000000000..f4111d877e
--- /dev/null
+++ b/tests/streaming/action/test_transfer_call.py
@@ -0,0 +1,222 @@
+import asyncio
+from typing import Any
+from unittest.mock import MagicMock
+
+import aiohttp
+import pytest
+from aioresponses import aioresponses
+from pytest_mock import MockerFixture
+
+from tests.fakedata.id import generate_uuid
+from vocode.streaming.action.transfer_call import (
+    TransferCallEmptyParameters,
+    TransferCallVocodeActionConfig,
+    TwilioTransferCall,
+    VonageTransferCall,
+)
+from vocode.streaming.models.actions import (
+    TwilioPhoneConversationActionInput,
+    VonagePhoneConversationActionInput,
+)
+from vocode.streaming.models.events import Sender
+from vocode.streaming.models.telephony import TwilioConfig, VonageConfig
+from vocode.streaming.models.transcript import Message, Transcript
+from vocode.streaming.utils import create_conversation_id
+from vocode.streaming.utils.state_manager import (
+    TwilioPhoneConversationStateManager,
+    VonagePhoneConversationStateManager,
+)
+
+TRANSFER_PHONE_NUMBER = "12345678920"
+
+
+@pytest.fixture
+def mock_twilio_config():
+    return TwilioConfig(
+        account_sid="account_sid",
+        auth_token="auth_token",
+    )
+
+
+@pytest.fixture
+def mock_vonage_config():
+    return VonageConfig(
+        api_key="api_key",
+        api_secret="api_secret",
+        application_id="application_id",
+        private_key="-----BEGIN PRIVATE KEY-----\nasdf\n-----END PRIVATE KEY-----",
+    )
+
+
+@pytest.fixture
+def mock_twilio_phone_conversation(mock_twilio_config) -> MagicMock:
+    twilio_phone_conversation = MagicMock()
+    twilio_phone_conversation.twilio_config = mock_twilio_config
+    return twilio_phone_conversation
+
+
+@pytest.fixture
+def mock_vonage_phone_conversation(mock_vonage_config) -> MagicMock:
+    vonage_phone_conversation = MagicMock()
+    vonage_phone_conversation.vonage_config = mock_vonage_config
+    return vonage_phone_conversation
+
+
+@pytest.fixture
+def mock_twilio_conversation_state_manager(
+    mocker: Any, mock_twilio_phone_conversation: MagicMock
+) -> TwilioPhoneConversationStateManager:
+    return TwilioPhoneConversationStateManager(mock_twilio_phone_conversation)
+
+
+@pytest.fixture
+def mock_vonage_conversation_state_manager(
+    mocker: Any, mock_vonage_phone_conversation: MagicMock
+) -> VonagePhoneConversationStateManager:
+    return VonagePhoneConversationStateManager(mock_vonage_phone_conversation)
+
+
+@pytest.mark.asyncio
+async def test_twilio_transfer_call_succeeds(
+    mocker: Any,
+    mock_twilio_conversation_state_manager: TwilioPhoneConversationStateManager,
+    mock_twilio_phone_conversation: MagicMock,
+    mock_twilio_config: TwilioConfig,
+):
+    action = TwilioTransferCall(
+        action_config=TransferCallVocodeActionConfig(phone_number=TRANSFER_PHONE_NUMBER),
+    )
+    user_message_tracker = asyncio.Event()
+    user_message_tracker.set()
+    action.attach_conversation_state_manager(mock_twilio_conversation_state_manager)
+    conversation_id = create_conversation_id()
+
+    twilio_sid = "twilio_sid"
+    action_input = TwilioPhoneConversationActionInput(
+        action_config=TransferCallVocodeActionConfig(phone_number=TRANSFER_PHONE_NUMBER),
+        conversation_id=conversation_id,
+        params=TransferCallEmptyParameters(),
+        twilio_sid=twilio_sid,
+        user_message_tracker=user_message_tracker,
+    )
+
+    mock_twilio_phone_conversation.transcript = Transcript(event_logs=[])
+
+    with aioresponses() as m:
+        m.post(
+            "https://api.twilio.com/2010-04-01/Accounts/{twilio_account_sid}/Calls/{twilio_call_sid}.json".format(
+                twilio_account_sid=mock_twilio_config.account_sid,
+                twilio_call_sid=twilio_sid,
+            ),
+            status=200,
+        )
+        action_output = await action.run(action_input=action_input)
+        assert action_output.response.success, "Expected action response to be successful"
+        m.assert_called_once_with(
+            f"https://api.twilio.com/2010-04-01/Accounts/{mock_twilio_config.account_sid}/Calls/{twilio_sid}.json",
+            method="POST",
+            auth=aiohttp.BasicAuth(
+                login=mock_twilio_config.account_sid,
+                password=mock_twilio_config.auth_token,
+            ),
+            data={"Twiml": f"<Response><Dial>{TRANSFER_PHONE_NUMBER}</Dial></Response>"},
+        )
+
+
+@pytest.mark.asyncio
+async def test_twilio_transfer_call_fails_if_interrupted(
+    mocker: Any,
+    mock_twilio_conversation_state_manager: TwilioPhoneConversationStateManager,
+    mock_twilio_phone_conversation: MagicMock,
+) -> None:
+    action = TwilioTransferCall(
+        action_config=TransferCallVocodeActionConfig(phone_number=TRANSFER_PHONE_NUMBER),
+    )
+    user_message_tracker = asyncio.Event()
+    user_message_tracker.set()
+    action.attach_conversation_state_manager(mock_twilio_conversation_state_manager)
+    conversation_id = create_conversation_id()
+
+    inner_transfer_call_mock = mocker.patch(
+        "vocode.streaming.action.transfer_call.TwilioTransferCall.transfer_call",
+        autospec=True,
+    )
+
+    mock_twilio_phone_conversation.transcript = Transcript(
+        event_logs=[
+            Message(
+                sender=Sender.BOT,
+                text="Please hold while I transfer you",
+                is_end_of_turn=False,
+            )
+        ]
+    )
+
+    action_input = TwilioPhoneConversationActionInput(
+        action_config=TransferCallVocodeActionConfig(phone_number=TRANSFER_PHONE_NUMBER),
+        conversation_id=conversation_id,
+        params=TransferCallEmptyParameters(),
+        twilio_sid="twilio_sid",
+        user_message_tracker=user_message_tracker,
+    )
+
+    action_output = await action.run(action_input=action_input)
+
+    assert inner_transfer_call_mock.call_count == 0, "Expected transfer_call to not be called"
+    assert not action_output.response.success, "Expected action response to be unsuccessful"
+
+
+@pytest.mark.asyncio
+async def test_vonage_transfer_call_inbound(
+    mocker: MockerFixture,
+    mock_env,
+    mock_vonage_conversation_state_manager: VonagePhoneConversationStateManager,
+) -> None:
+    transfer_phone_number = "12345678920"
+    action = VonageTransferCall(
+        action_config=TransferCallVocodeActionConfig(phone_number=transfer_phone_number),
+    )
+
+    mocker.patch("vonage.Client._create_jwt_auth_string", return_value=b"asdf")
+
+    vonage_uuid = generate_uuid()
+
+    mock_vonage_conversation_state_manager._vonage_phone_conversation.direction = "inbound"
+    mock_vonage_conversation_state_manager._vonage_phone_conversation.to_phone = "1234567894"
+    mock_vonage_conversation_state_manager._vonage_phone_conversation.from_phone = "1234567895"
+
+    conversation_id = create_conversation_id()
+
+    action.attach_conversation_state_manager(mock_vonage_conversation_state_manager)
+
+    user_message_tracker = asyncio.Event()
+    user_message_tracker.set()
+
+    with aioresponses() as m:
+        m.put(
+            f"https://api.nexmo.com/v1/calls/{vonage_uuid}",
+            payload={},
+            status=200,
+        )
+
+        action_input = VonagePhoneConversationActionInput(
+            action_config=TransferCallVocodeActionConfig(phone_number=transfer_phone_number),
+            conversation_id=conversation_id,
+            params=TransferCallEmptyParameters(),
+            vonage_uuid=str(vonage_uuid),
+            user_message_tracker=user_message_tracker,
+        )
+        action_output = await action.run(action_input=action_input)
+
+        assert action_output.response.success
+        assert action_output.action_type == "action_transfer_call"
+
+        call = list(m.requests.values())[0][0]
+
+        ncco = call.kwargs["json"]["destination"]["ncco"]
+
+        assert ncco[0]["endpoint"][0]["number"] == transfer_phone_number
+        assert (
+            ncco[0]["from"]
+            == mock_vonage_conversation_state_manager._vonage_phone_conversation.to_phone  # if inbound, the agent number is the to_phone
+        )
diff --git a/tests/streaming/action/test_wait.py b/tests/streaming/action/test_wait.py
new file mode 100644
index 0000000000..bea3acc9ac
--- /dev/null
+++ b/tests/streaming/action/test_wait.py
@@ -0,0 +1,23 @@
+import pytest
+
+from vocode.streaming.action.wait import Wait, WaitParameters, WaitVocodeActionConfig
+from vocode.streaming.models.actions import ActionInput
+from vocode.streaming.utils import create_conversation_id
+
+
+@pytest.mark.asyncio
+async def test_wait_action_success_without_user_message_tracker():
+    action_config = WaitVocodeActionConfig()
+    wait_action = Wait(action_config=action_config)
+    action_input = ActionInput[WaitParameters](
+        action_config=action_config,
+        conversation_id=create_conversation_id(),
+        user_message_tracker=None,
+        params=WaitParameters(),
+    )
+
+    action_output = await wait_action.run(action_input)
+
+    assert (
+        action_output.response.success is True
+    ), "Expected the wait action to succeed without a user message tracker"
diff --git a/tests/streaming/agent/test_base_agent.py b/tests/streaming/agent/test_base_agent.py
new file mode 100644
index 0000000000..e3fe9e5f90
--- /dev/null
+++ b/tests/streaming/agent/test_base_agent.py
@@ -0,0 +1,176 @@
+import asyncio
+from typing import List, Optional
+
+import pytest
+from pytest_mock import MockerFixture
+
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.agent.base_agent import (
+    AgentResponse,
+    AgentResponseMessage,
+    BaseAgent,
+    GeneratedResponse,
+    TranscriptionAgentInput,
+)
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.models.actions import EndOfTurn
+from vocode.streaming.models.agent import ChatGPTAgentConfig
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.transcriber import Transcription
+from vocode.streaming.models.transcript import Transcript
+from vocode.streaming.utils.state_manager import ConversationStateManager
+from vocode.streaming.utils.worker import (
+    InterruptibleAgentResponseEvent,
+    InterruptibleEvent,
+    QueueConsumer,
+)
+
+
+@pytest.fixture(autouse=True)
+def mock_env(mocker: MockerFixture):
+    mocker.patch.dict(
+        "os.environ",
+        {
+            "OPENAI_API_KEY": "openai_api_key",
+        },
+    )
+
+
+def _create_agent(
+    mocker: MockerFixture,
+    agent_config: ChatGPTAgentConfig,
+    transcript: Optional[Transcript] = None,
+    action_factory: Optional[AbstractActionFactory] = None,
+    conversation_state_manager: Optional[ConversationStateManager] = None,
+) -> ChatGPTAgent:
+    agent = ChatGPTAgent(agent_config, action_factory=action_factory)
+    if transcript:
+        agent.attach_transcript(transcript)
+    else:
+        agent.attach_transcript(Transcript())
+    if conversation_state_manager:
+        agent.attach_conversation_state_manager(conversation_state_manager)
+    else:
+        agent.attach_conversation_state_manager(mocker.MagicMock())
+    return agent
+
+
+async def _consume_until_end_of_turn(
+    agent_consumer: QueueConsumer[InterruptibleAgentResponseEvent[AgentResponse]],
+    timeout: float = 0.1,
+) -> List[AgentResponse]:
+    agent_responses = []
+    try:
+        while True:
+            agent_response = await asyncio.wait_for(
+                agent_consumer.input_queue.get(), timeout=timeout
+            )
+            agent_responses.append(agent_response.payload)
+            if isinstance(agent_response.payload, AgentResponseMessage) and isinstance(
+                agent_response.payload.message, EndOfTurn
+            ):
+                break
+    except asyncio.TimeoutError:
+        pass
+    return agent_responses
+
+
+def _send_transcription(
+    agent: BaseAgent,
+    transcription: Transcription,
+    agent_response_tracker: Optional[asyncio.Event] = None,
+    is_interruptible: bool = False,
+):
+    agent.consume_nonblocking(
+        InterruptibleEvent(
+            payload=TranscriptionAgentInput(
+                conversation_id="conversation_id", transcription=transcription
+            ),
+            is_interruptible=is_interruptible,
+        )
+    )
+
+
+def _send_action_output(
+    agent: BaseAgent,
+    action_output: str,
+    agent_response_tracker: Optional[asyncio.Event] = None,
+    is_interruptible: bool = False,
+):
+    agent.consume_nonblocking(
+        InterruptibleEvent(
+            payload=action_output,
+            is_interruptible=is_interruptible,
+            agent_response_tracker=agent_response_tracker,
+        )
+    )
+
+
+def _mock_generate_response(
+    mocker: MockerFixture, agent: BaseAgent, generated_responses: List[GeneratedResponse]
+):
+    async def mock_generate_response(*args, **kwargs):
+        for response in generated_responses:
+            yield response
+
+    mocker.patch.object(agent, "generate_response", mock_generate_response)
+
+
+@pytest.mark.asyncio
+async def test_generate_responses(mocker: MockerFixture):
+    agent_config = ChatGPTAgentConfig(
+        prompt_preamble="Have a pleasant conversation about life",
+        generate_responses=True,
+    )
+    agent = _create_agent(mocker, agent_config)
+    _mock_generate_response(
+        mocker,
+        agent,
+        [
+            GeneratedResponse(
+                message=BaseMessage(text="Hi, how are you doing today?"), is_interruptible=True
+            )
+        ],
+    )
+    _send_transcription(
+        agent,
+        Transcription(message="Hello?", confidence=1.0, is_final=True),
+    )
+    agent_consumer = QueueConsumer()
+    agent.agent_responses_consumer = agent_consumer
+    agent.start()
+    agent_responses = await _consume_until_end_of_turn(agent_consumer)
+    await agent.terminate()
+
+    messages = [response.message for response in agent_responses]
+
+    assert messages == [BaseMessage(text="Hi, how are you doing today?"), EndOfTurn()]
+
+
+@pytest.mark.asyncio
+async def test_function_call(mocker: MockerFixture):
+    # TODO: assert that when we return a function call with a user message, it sends out a message alongside
+    # an end of turn with the same agent response tracker
+    pass
+
+
+@pytest.mark.asyncio
+async def test_action_response_agent_input(mocker: MockerFixture):
+    # TODO: assert that the canned response is optionally sent if the action is not quiet
+    # and that it goes through the normal flow when the action is not quiet
+    pass
+
+
+@pytest.fixture
+def agent_config():
+    return ChatGPTAgentConfig(
+        openai_api_key="test_key",
+        model_name="llama3-8b-8192",
+        base_url_override="https://api.groq.com/openai/v1/",
+        prompt_preamble="Test prompt",
+    )
+
+
+def test_chat_gpt_agent_base_url(agent_config):
+    agent = ChatGPTAgent(agent_config)
+    assert str(agent.openai_client.base_url) == "https://api.groq.com/openai/v1/"
diff --git a/tests/streaming/agent/test_openai_utils.py b/tests/streaming/agent/test_openai_utils.py
new file mode 100644
index 0000000000..4858c92943
--- /dev/null
+++ b/tests/streaming/agent/test_openai_utils.py
@@ -0,0 +1,303 @@
+from vocode.streaming.agent.openai_utils import format_openai_chat_messages_from_transcript
+from vocode.streaming.models.actions import (
+    ACTION_FINISHED_FORMAT_STRING,
+    ActionConfig,
+    ActionInput,
+    ActionOutput,
+    PhraseBasedActionTrigger,
+    PhraseBasedActionTriggerConfig,
+)
+from vocode.streaming.models.events import Sender
+from vocode.streaming.models.transcript import ActionFinish, ActionStart, Message, Transcript
+
+
+class WeatherActionConfig(ActionConfig, type="weather"):
+    pass
+
+
+def create_fake_vocode_phrase_trigger():
+    return PhraseBasedActionTrigger(config=PhraseBasedActionTriggerConfig(phrase_triggers=[]))
+
+
+def test_format_openai_chat_messages_from_transcript():
+    test_action_input_nophrase = ActionInput(
+        action_config=WeatherActionConfig(),
+        conversation_id="asdf",
+        params={},
+    )
+    test_action_input_phrase = ActionInput(
+        action_config=WeatherActionConfig(action_trigger=create_fake_vocode_phrase_trigger()),
+        conversation_id="asdf",
+        params={},
+    )
+
+    test_cases = [
+        (
+            (
+                Transcript(
+                    event_logs=[
+                        Message(sender=Sender.BOT, text="Hello!", is_final=True),
+                        Message(
+                            sender=Sender.BOT,
+                            text="How are you doing today?",
+                            is_final=True,
+                        ),
+                        Message(sender=Sender.HUMAN, text="I'm doing well, thanks!"),
+                    ]
+                ),
+                "gpt-3.5-turbo-0613",
+                None,
+                "prompt preamble",
+            ),
+            [
+                {"role": "system", "content": "prompt preamble"},
+                {"role": "assistant", "content": "Hello! How are you doing today?"},
+                {"role": "user", "content": "I'm doing well, thanks!"},
+            ],
+        ),
+        (
+            (
+                Transcript(
+                    event_logs=[
+                        Message(sender=Sender.BOT, text="Hello!", is_final=True),
+                        Message(sender=Sender.BOT, text="How are", is_final=False),
+                    ]
+                ),
+                "gpt-3.5-turbo-0613",
+                None,
+                "prompt preamble",
+            ),
+            [
+                {"role": "system", "content": "prompt preamble"},
+                {"role": "assistant", "content": "Hello! How are-"},
+            ],
+        ),
+        (
+            (
+                Transcript(
+                    event_logs=[
+                        Message(sender=Sender.BOT, text="Hello!", is_final=True),
+                        Message(sender=Sender.HUMAN, text="Hello, what's the weather like?"),
+                        ActionStart(
+                            action_type="weather",
+                            action_input=test_action_input_nophrase,
+                        ),
+                        ActionFinish(
+                            action_type="weather",
+                            action_input=test_action_input_nophrase,
+                            action_output=ActionOutput(action_type="weather", response={}),
+                        ),
+                    ]
+                ),
+                "gpt-3.5-turbo-0613",
+                None,
+                "some prompt",
+            ),
+            [
+                {"role": "system", "content": "some prompt"},
+                {"role": "assistant", "content": "Hello!"},
+                {
+                    "role": "user",
+                    "content": "Hello, what's the weather like?",
+                },
+                {
+                    "role": "assistant",
+                    "content": None,
+                    "function_call": {"name": "weather", "arguments": "{}"},
+                },
+                {
+                    "role": "function",
+                    "name": "weather",
+                    "content": ACTION_FINISHED_FORMAT_STRING.format(
+                        action_name="weather", action_output="{}"
+                    ),
+                },
+            ],
+        ),
+        (
+            (
+                Transcript(
+                    event_logs=[
+                        Message(sender=Sender.BOT, text="Hello!", is_final=True),
+                        Message(sender=Sender.HUMAN, text="Hello, what's the weather like?"),
+                        ActionStart(
+                            action_type="weather",
+                            action_input=test_action_input_phrase,
+                        ),
+                        ActionFinish(
+                            action_type="weather",
+                            action_input=test_action_input_phrase,
+                            action_output=ActionOutput(action_type="weather", response={}),
+                        ),
+                    ]
+                ),
+                "gpt-3.5-turbo-0613",
+                None,
+                "some prompt",
+            ),
+            [
+                {"role": "system", "content": "some prompt"},
+                {"role": "assistant", "content": "Hello!"},
+                {
+                    "role": "user",
+                    "content": "Hello, what's the weather like?",
+                },
+                {
+                    "role": "function",
+                    "name": "weather",
+                    "content": ACTION_FINISHED_FORMAT_STRING.format(
+                        action_name="weather", action_output="{}"
+                    ),
+                },
+            ],
+        ),
+    ]
+
+    for params, expected_output in test_cases:
+        assert format_openai_chat_messages_from_transcript(*params) == expected_output
+
+
+def test_format_openai_chat_messages_from_transcript_context_limit():
+    test_cases = [
+        (
+            (
+                Transcript(
+                    event_logs=[
+                        Message(sender=Sender.BOT, text="Hello!", is_final=True),
+                        Message(
+                            sender=Sender.BOT,
+                            text="How are you doing today? I'm doing amazing thank you so much for asking!",
+                        ),
+                        Message(sender=Sender.HUMAN, text="I'm doing well, thanks!"),
+                    ]
+                ),
+                "gpt-3.5-turbo-0613",
+                None,
+                "aaaa " * 1862,
+            ),
+            [
+                {"role": "system", "content": "aaaa " * 1862},
+                {"role": "user", "content": "I'm doing well, thanks!"},
+            ],
+        ),
+        (
+            (
+                Transcript(
+                    event_logs=[
+                        Message(sender=Sender.BOT, text="Hello!"),
+                        Message(
+                            sender=Sender.BOT,
+                            text="How are you doing today? I'm doing amazing thank you so much for asking!",
+                            is_final=True,
+                        ),
+                        Message(sender=Sender.HUMAN, text="I'm doing well, thanks!"),
+                        Message(sender=Sender.BOT, text="aaaa " * 1862),
+                        Message(sender=Sender.HUMAN, text="What? What did you just say???"),
+                        Message(
+                            sender=Sender.BOT,
+                            text="My apologies, there was an error. Please ignore my previous message",
+                            is_final=True,
+                        ),
+                        Message(
+                            sender=Sender.HUMAN,
+                            text="Don't worry I ignored all 1862 * 5 characters of it.",
+                        ),
+                    ]
+                ),
+                "gpt-3.5-turbo-0613",
+                None,
+                "prompt preamble",
+            ),
+            [
+                {"role": "system", "content": "prompt preamble"},
+                {
+                    "content": "What? What did you just say???",
+                    "role": "user",
+                },
+                {
+                    "role": "assistant",
+                    "content": "My apologies, there was an error. Please ignore my previous message",
+                },
+                {
+                    "role": "user",
+                    "content": "Don't worry I ignored all 1862 * 5 characters of it.",
+                },
+            ],
+        ),
+    ]
+
+    for params, expected_output in test_cases:
+        assert format_openai_chat_messages_from_transcript(*params) == expected_output
+
+
+def test_format_openai_chat_messages_from_transcript_context_limit():
+    test_cases = [
+        (
+            (
+                Transcript(
+                    event_logs=[
+                        Message(sender=Sender.BOT, text="Hello!", is_final=True),
+                        Message(
+                            sender=Sender.BOT,
+                            text="How are you doing today? I'm doing amazing thank you so much for asking!",
+                        ),
+                        Message(sender=Sender.HUMAN, text="I'm doing well, thanks!"),
+                    ]
+                ),
+                "gpt-3.5-turbo-0613",
+                None,
+                "aaaa " * 1862,
+            ),
+            [
+                {"role": "system", "content": "aaaa " * 1862},
+                {"role": "user", "content": "I'm doing well, thanks!"},
+            ],
+        ),
+        (
+            (
+                Transcript(
+                    event_logs=[
+                        Message(sender=Sender.BOT, text="Hello!"),
+                        Message(
+                            sender=Sender.BOT,
+                            text="How are you doing today? I'm doing amazing thank you so much for asking!",
+                            is_final=True,
+                        ),
+                        Message(sender=Sender.HUMAN, text="I'm doing well, thanks!"),
+                        Message(sender=Sender.BOT, text="aaaa " * 1862),
+                        Message(sender=Sender.HUMAN, text="What? What did you just say???"),
+                        Message(
+                            sender=Sender.BOT,
+                            text="My apologies, there was an error. Please ignore my previous message",
+                            is_final=True,
+                        ),
+                        Message(
+                            sender=Sender.HUMAN,
+                            text="Don't worry I ignored all 1862 * 5 characters of it.",
+                        ),
+                    ]
+                ),
+                "gpt-3.5-turbo-0613",
+                None,
+                "prompt preamble",
+            ),
+            [
+                {"role": "system", "content": "prompt preamble"},
+                {
+                    "content": "What? What did you just say???",
+                    "role": "user",
+                },
+                {
+                    "role": "assistant",
+                    "content": "My apologies, there was an error. Please ignore my previous message",
+                },
+                {
+                    "role": "user",
+                    "content": "Don't worry I ignored all 1862 * 5 characters of it.",
+                },
+            ],
+        ),
+    ]
+
+    for params, expected_output in test_cases:
+        assert format_openai_chat_messages_from_transcript(*params) == expected_output
diff --git a/tests/streaming/agent/test_utils.py b/tests/streaming/agent/test_streaming_utils.py
similarity index 70%
rename from tests/streaming/agent/test_utils.py
rename to tests/streaming/agent/test_streaming_utils.py
index 96cb4848e1..db46c4a2a9 100644
--- a/tests/streaming/agent/test_utils.py
+++ b/tests/streaming/agent/test_streaming_utils.py
@@ -1,48 +1,60 @@
-from typing import Any, Dict, List, Optional, Union
-from openai.openai_object import OpenAIObject
-from pydantic import BaseModel
-from vocode.streaming.models.actions import (
-    ActionConfig,
-    ActionInput,
-    ActionOutput,
-    FunctionCall,
-)
+from typing import Any, AsyncGenerator, Dict, List, Optional, Union
+
 import pytest
-from vocode.streaming.agent.utils import (
-    collate_response_async,
-    format_openai_chat_messages_from_transcript,
-    openai_get_tokens,
-)
-from vocode.streaming.models.events import Sender
-from vocode.streaming.models.transcript import (
-    ActionFinish,
-    ActionStart,
-    Message,
-    Transcript,
-)
+from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
+from pydantic.v1 import BaseModel
+
+from vocode.streaming.agent.openai_utils import openai_get_tokens
+from vocode.streaming.agent.streaming_utils import collate_response_async
+from vocode.streaming.models.actions import FunctionCall
 
 
-async def _agen_from_list(l):
+async def _agen_from_chunk_list(
+    l: List[ChatCompletionChunk],
+) -> AsyncGenerator[ChatCompletionChunk, Any]:
     for item in l:
         yield item
 
 
 def create_chatgpt_openai_object(
-    delta: Dict[str, str], finish_reason: Optional[Any] = None
-):
-    return OpenAIObject.construct_from(
-        {"choices": [{"delta": delta, "finish_reason": finish_reason}]}
-    )
+    delta: Optional[Dict[str, str]] = None,
+    finish_reason: Optional[Any] = None,
+    prompt_annotations=None,
+) -> ChatCompletionChunk:
+    inner_obj = {
+        "id": "test_id",
+        "created": 1423143,
+        "model": "gpt-3.5-turbo-0613",
+        "object": "chat.completion.chunk",
+        "choices": [],
+    }
+    if prompt_annotations:
+        inner_obj["prompt_annotations"] = prompt_annotations
+        inner_obj["choices"] = []
+    elif delta:
+        inner_obj["choices"] = [{"index": 0, "delta": delta, "finish_reason": finish_reason}]
+    return ChatCompletionChunk.parse_obj(inner_obj)
 
 
 class StreamOpenAIResponseTestCase(BaseModel):
-    openai_objects: List[OpenAIObject]
+    openai_objects: List[ChatCompletionChunk]
     expected_sentences: List[Union[str, FunctionCall]]
     get_functions: bool
 
+    class Config:
+        arbitrary_types_allowed = True
+
 
 OPENAI_OBJECTS = [
     [
+        {
+            "prompt_annotations": [
+                {
+                    "prompt_index": 0,
+                    "content_filter_results": {},
+                }
+            ]
+        },
         {"delta": {"role": "assistant"}, "finish_reason": None},
         {"delta": {"content": "Hello"}, "finish_reason": None},
         {"delta": {"content": "!"}, "finish_reason": None},
@@ -219,11 +231,57 @@ class StreamOpenAIResponseTestCase(BaseModel):
         },
         {"delta": {}, "finish_reason": "function_call"},
     ],
+    [
+        {"delta": {"role": "assistant"}, "finish_reason": None},
+        {"delta": {"content": "Yes"}, "finish_reason": None},
+        {"delta": {"content": "."}, "finish_reason": None},
+        {"delta": {"content": " Hi"}, "finish_reason": None},
+        {"delta": {"content": "."}, "finish_reason": None},
+        {"delta": {"content": " Ok"}, "finish_reason": None},
+        {"delta": {"content": "."}, "finish_reason": None},
+        {"delta": {"content": " What"}, "finish_reason": None},
+        {"delta": {"content": " is"}, "finish_reason": None},
+        {"delta": {"content": " it"}, "finish_reason": None},
+        {"delta": {"content": "?"}, "finish_reason": None},
+        {"delta": {}, "finish_reason": "stop"},
+    ],
+    [
+        {"delta": {"role": "assistant"}, "finish_reason": None},
+        {"delta": {"content": "Ok"}, "finish_reason": None},
+        {"delta": {"content": " gotcha"}, "finish_reason": None},
+        {"delta": {"content": "."}, "finish_reason": None},
+        {"delta": {"content": " What"}, "finish_reason": None},
+        {"delta": {"content": " is"}, "finish_reason": None},
+        {"delta": {"content": " up"}, "finish_reason": None},
+        {"delta": {"content": " man"}, "finish_reason": None},
+        {"delta": {"content": "."}, "finish_reason": None},
+        {"delta": {"content": " Nothing"}, "finish_reason": None},
+        {"delta": {"content": " much"}, "finish_reason": None},
+        {"delta": {"content": " how"}, "finish_reason": None},
+        {"delta": {"content": " are"}, "finish_reason": None},
+        {"delta": {"content": " you"}, "finish_reason": None},
+        {"delta": {"content": "?"}, "finish_reason": None},
+        {"delta": {}, "finish_reason": "stop"},
+    ],
+    [
+        {"delta": {"role": "assistant"}, "finish_reason": None},
+        {"delta": {"content": "Hello"}, "finish_reason": None},
+        {"delta": {"content": "?"}, "finish_reason": None},
+        {"delta": {"content": " Yes"}, "finish_reason": None},
+        {"delta": {"content": "?"}, "finish_reason": None},
+        {"delta": {"content": " Hello"}, "finish_reason": None},
+        {"delta": {"content": "?"}, "finish_reason": None},
+        {"delta": {"content": "Is"}, "finish_reason": None},
+        {"delta": {"content": " this"}, "finish_reason": None},
+        {"delta": {"content": " Bob"}, "finish_reason": None},
+        {"delta": {"content": "?"}, "finish_reason": None},
+        {"delta": {}, "finish_reason": "stop"},
+    ],
 ]
 
 EXPECTED_SENTENCES = [
-    ["Hello!", "How are you doing today?"],
-    ["Hello.", "What do you want to talk about?"],
+    ["Hello! How are you doing today?"],
+    ["Hello. What do you want to talk about?"],
     ["This is a test sentence.", "Want to hear a joke?"],
     [
         "Sure, here are three possible things we could talk about:",
@@ -235,18 +293,15 @@ class StreamOpenAIResponseTestCase(BaseModel):
         "$1 + $3.20 is equal to $4.20.",
         "And $1.40 plus $2.80 is equal to $4.20 as well.",
     ],
+    ["$2 + $3.00 is equal to $5.", "$6 + $4 is equal to $10."],
     [
-        "$2 + $3.00 is equal to $5.",
-        "$6 + $4 is equal to $10.",
-    ],
-    [
-        "Hello.",
-        "What do you want to talk about",
-        FunctionCall(name="wave_hello", arguments='{\n  "name": "user"\n}'),
-    ],
-    [
+        "Hello. What do you want to talk about",
         FunctionCall(name="wave_hello", arguments='{\n  "name": "user"\n}'),
     ],
+    [FunctionCall(name="wave_hello", arguments='{\n  "name": "user"\n}')],
+    ["Yes. Hi. Ok. What is it?"],
+    ["Ok gotcha. What is up man.", "Nothing much how are you?"],
+    ["Hello? Yes? Hello?", "Is this Bob?"],
 ]
 
 FUNCTIONS_INPUT = [
@@ -299,130 +354,22 @@ class StreamOpenAIResponseTestCase(BaseModel):
 
 
 @pytest.mark.asyncio
-async def test_collate_response_async():
+async def test_collate_response_async(mocker):
     test_cases = [
         StreamOpenAIResponseTestCase(
-            openai_objects=[
-                create_chatgpt_openai_object(**obj) for obj in openai_objects
-            ],
+            openai_objects=[create_chatgpt_openai_object(**obj) for obj in openai_objects],
             expected_sentences=expected_sentences,
-            get_functions=any(
-                isinstance(item, FunctionCall) for item in expected_sentences
-            ),
-        )
-        for openai_objects, expected_sentences in zip(
-            OPENAI_OBJECTS, EXPECTED_SENTENCES
+            get_functions=any(isinstance(item, FunctionCall) for item in expected_sentences),
         )
+        for openai_objects, expected_sentences in zip(OPENAI_OBJECTS, EXPECTED_SENTENCES)
     ]
 
     for test_case in test_cases:
         actual_sentences = []
         async for sentence in collate_response_async(
-            openai_get_tokens(_agen_from_list(test_case.openai_objects)),
+            conversation_id="test",
+            gen=openai_get_tokens(_agen_from_chunk_list(test_case.openai_objects)),
             get_functions=test_case.get_functions,
         ):
             actual_sentences.append(sentence)
         assert actual_sentences == test_case.expected_sentences
-
-
-def test_format_openai_chat_messages_from_transcript():
-    test_cases = [
-        (
-            (
-                Transcript(
-                    event_logs=[
-                        Message(sender=Sender.BOT, text="Hello!"),
-                        Message(sender=Sender.BOT, text="How are you doing today?"),
-                        Message(sender=Sender.HUMAN, text="I'm doing well, thanks!"),
-                    ]
-                ),
-                "prompt preamble",
-            ),
-            [
-                {"role": "system", "content": "prompt preamble"},
-                {"role": "assistant", "content": "Hello! How are you doing today?"},
-                {"role": "user", "content": "I'm doing well, thanks!"},
-            ],
-        ),
-        (
-            (
-                Transcript(
-                    event_logs=[
-                        Message(sender=Sender.BOT, text="Hello!"),
-                        Message(sender=Sender.BOT, text="How are you doing today?"),
-                        Message(sender=Sender.HUMAN, text="I'm doing well, thanks!"),
-                    ]
-                ),
-                None,
-            ),
-            [
-                {"role": "assistant", "content": "Hello! How are you doing today?"},
-                {"role": "user", "content": "I'm doing well, thanks!"},
-            ],
-        ),
-        (
-            (
-                Transcript(
-                    event_logs=[
-                        Message(sender=Sender.BOT, text="Hello!"),
-                        Message(sender=Sender.BOT, text="How are you doing today?"),
-                    ]
-                ),
-                "prompt preamble",
-            ),
-            [
-                {"role": "system", "content": "prompt preamble"},
-                {"role": "assistant", "content": "Hello! How are you doing today?"},
-            ],
-        ),
-        (
-            (
-                Transcript(
-                    event_logs=[
-                        Message(sender=Sender.BOT, text="Hello!"),
-                        Message(
-                            sender=Sender.HUMAN, text="Hello, what's the weather like?"
-                        ),
-                        ActionStart(
-                            action_type="weather",
-                            action_input=ActionInput(
-                                action_config=ActionConfig(),
-                                conversation_id="asdf",
-                                params={},
-                            ),
-                        ),
-                        ActionFinish(
-                            action_type="weather",
-                            action_output=ActionOutput(
-                                action_type="weather", response={}
-                            ),
-                        ),
-                    ]
-                ),
-                None,
-            ),
-            [
-                {"role": "assistant", "content": "Hello!"},
-                {
-                    "role": "user",
-                    "content": "Hello, what's the weather like?",
-                },
-                {
-                    "role": "assistant",
-                    "content": None,
-                    "function_call": {
-                        "name": "weather",
-                        "arguments": "{}",
-                    },
-                },
-                {
-                    "role": "function",
-                    "name": "weather",
-                    "content": "{}",
-                },
-            ],
-        ),
-    ]
-
-    for params, expected_output in test_cases:
-        assert format_openai_chat_messages_from_transcript(*params) == expected_output
diff --git a/tests/streaming/data/fake_audio.mp3 b/tests/streaming/data/fake_audio.mp3
deleted file mode 100644
index ecb1351d30..0000000000
Binary files a/tests/streaming/data/fake_audio.mp3 and /dev/null differ
diff --git a/tests/streaming/data/fake_audio.wav b/tests/streaming/data/fake_audio.wav
deleted file mode 100644
index 7104a18c4e..0000000000
Binary files a/tests/streaming/data/fake_audio.wav and /dev/null differ
diff --git a/tests/streaming/data/loader.py b/tests/streaming/data/loader.py
deleted file mode 100644
index 82601dab8f..0000000000
--- a/tests/streaming/data/loader.py
+++ /dev/null
@@ -1,5 +0,0 @@
-import os
-
-
-def get_audio_path(relative_path: str):
-    return os.path.join(os.path.dirname(__file__), relative_path)
diff --git a/tests/streaming/fixtures/__init__.py b/tests/streaming/fixtures/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/tests/streaming/fixtures/output_device.py b/tests/streaming/fixtures/output_device.py
deleted file mode 100644
index 10efbfc732..0000000000
--- a/tests/streaming/fixtures/output_device.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
-
-
-class SilentOutputDevice(BaseOutputDevice):
-    def consume_nonblocking(self, chunk: bytes):
-        pass
diff --git a/tests/streaming/fixtures/synthesizer.py b/tests/streaming/fixtures/synthesizer.py
deleted file mode 100644
index 3e55982a56..0000000000
--- a/tests/streaming/fixtures/synthesizer.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import os
-from io import BytesIO
-from typing import Optional
-
-import pytest
-from tests.streaming.data.loader import get_audio_path
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.synthesizer import SynthesizerConfig
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-)
-
-
-class TestSynthesizerConfig(SynthesizerConfig, type="synthesizer_test"):
-    __test__ = False
-
-
-class TestSynthesizer(BaseSynthesizer):
-    __test__ = False
-
-    def __init__(self, synthesizer_config: SynthesizerConfig):
-        super().__init__(synthesizer_config)
-
-    async def create_speech(
-        self,
-        message: BaseMessage,
-        chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
-    ) -> SynthesisResult:
-        return self.create_synthesis_result_from_wav(
-            message=message,
-            chunk_size=chunk_size,
-            file=get_audio_path("fake_audio.wav"),
-        )
diff --git a/tests/streaming/fixtures/transcriber.py b/tests/streaming/fixtures/transcriber.py
deleted file mode 100644
index a78e3de269..0000000000
--- a/tests/streaming/fixtures/transcriber.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import asyncio
-
-import pytest
-from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.transcriber.base_transcriber import (
-    BaseAsyncTranscriber,
-    Transcription,
-)
-
-
-class TestTranscriberConfig(TranscriberConfig, type="transcriber_test"):
-    __test__ = False
-
-
-class TestAsyncTranscriber(BaseAsyncTranscriber):
-    __test__ = False
-
-    async def _run_loop(self):
-        while True:
-            try:
-                self.output_queue.put_nowait(
-                    Transcription(message="test", confidence=1, is_final=True)
-                )
-                await asyncio.sleep(1)
-            except asyncio.CancelledError:
-                return
diff --git a/tests/streaming/models/test_transcript.py b/tests/streaming/models/test_transcript.py
deleted file mode 100644
index 39b1ae6698..0000000000
--- a/tests/streaming/models/test_transcript.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import asyncio
-from vocode.streaming.models.actions import (
-    ActionInput,
-    ActionOutput,
-    TwilioPhoneCallActionInput,
-)
-from vocode.streaming.models.transcript import ActionStart, ActionFinish
-from vocode.streaming.models.events import Sender
-from vocode.streaming.models.transcript import Message
-from vocode.streaming.models.transcript import Transcript
-from vocode.streaming.action.nylas_send_email import (
-    NylasSendEmailActionConfig,
-    NylasSendEmailParameters,
-    NylasSendEmailResponse,
-)
-
-
-def test_transcript_to_string():
-    transcript = Transcript(
-        event_logs=[
-            Message(sender=Sender.BOT, text="What up"),
-            Message(
-                sender=Sender.HUMAN,
-                text="Send me an email you bot. My email is du@de.com",
-            ),
-            ActionStart(
-                action_type="action_nylas_send_email",
-                action_input=TwilioPhoneCallActionInput(
-                    action_config=NylasSendEmailActionConfig(),
-                    conversation_id="123",
-                    params=NylasSendEmailParameters(
-                        recipient_email="du@de.com",
-                        body="What up",
-                        subject="This is the bot",
-                    ),
-                    _user_message_tracker=asyncio.Event(),
-                    twilio_sid="123",
-                ),
-            ),
-            ActionFinish(
-                action_type="action_nylas_send_email",
-                action_output=ActionOutput(
-                    action_type="action_nylas_send_email",
-                    response=NylasSendEmailResponse(success=True),
-                ),
-            ),
-        ]
-    )
-
-    assert (
-        transcript.to_string()
-        == """BOT: What up
-HUMAN: Send me an email you bot. My email is du@de.com
-ACTION_WORKER: params={'recipient_email': 'du@de.com', 'body': 'What up', 'subject': 'This is the bot'}
-ACTION_WORKER: action_type='action_nylas_send_email' response={'success': True}"""
-    )
-
-
-def test_transcript_to_string_no_phone_input():
-    transcript = Transcript(
-        event_logs=[
-            Message(sender=Sender.BOT, text="What up"),
-            Message(
-                sender=Sender.HUMAN,
-                text="Send me an email you bot. My email is du@de.com",
-            ),
-            ActionStart(
-                action_type="action_nylas_send_email",
-                action_input=ActionInput(
-                    action_config=NylasSendEmailActionConfig(),
-                    conversation_id="123",
-                    params=NylasSendEmailParameters(
-                        recipient_email="du@de.com",
-                        body="What up",
-                        subject="This is the bot",
-                    ),
-                    _user_message_tracker=asyncio.Event(),
-                ),
-            ),
-            ActionFinish(
-                action_type="action_nylas_send_email",
-                action_output=ActionOutput(
-                    action_type="action_nylas_send_email",
-                    response=NylasSendEmailResponse(success=True),
-                ),
-            ),
-        ]
-    )
-
-    assert (
-        transcript.to_string()
-        == """BOT: What up
-HUMAN: Send me an email you bot. My email is du@de.com
-ACTION_WORKER: params={'recipient_email': 'du@de.com', 'body': 'What up', 'subject': 'This is the bot'}
-ACTION_WORKER: action_type='action_nylas_send_email' response={'success': True}"""
-    )
diff --git a/tests/streaming/output_device/test_rate_limit_interruptions_output_device.py b/tests/streaming/output_device/test_rate_limit_interruptions_output_device.py
new file mode 100644
index 0000000000..66891a420d
--- /dev/null
+++ b/tests/streaming/output_device/test_rate_limit_interruptions_output_device.py
@@ -0,0 +1,68 @@
+import asyncio
+
+import pytest
+
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.output_device.audio_chunk import AudioChunk, ChunkState
+from vocode.streaming.output_device.rate_limit_interruptions_output_device import (
+    RateLimitInterruptionsOutputDevice,
+)
+from vocode.streaming.utils.worker import InterruptibleEvent
+
+
+class DummyRateLimitInterruptionsOutputDevice(RateLimitInterruptionsOutputDevice):
+    async def play(self, chunk: bytes):
+        pass
+
+
+@pytest.mark.asyncio
+async def test_calls_callbacks():
+    output_device = DummyRateLimitInterruptionsOutputDevice(
+        sampling_rate=16000, audio_encoding=AudioEncoding.LINEAR16
+    )
+
+    played_event = asyncio.Event()
+    interrupted_event = asyncio.Event()
+    uninterruptible_played_event = asyncio.Event()
+
+    def on_play():
+        played_event.set()
+
+    def on_interrupt():
+        interrupted_event.set()
+
+    def uninterruptible_on_play():
+        uninterruptible_played_event.set()
+
+    played_audio_chunk = AudioChunk(data=b"")
+    played_audio_chunk.on_play = on_play
+
+    interrupted_audio_chunk = AudioChunk(data=b"")
+    interrupted_audio_chunk.on_interrupt = on_interrupt
+
+    uninterruptible_audio_chunk = AudioChunk(data=b"")
+    uninterruptible_audio_chunk.on_play = uninterruptible_on_play
+
+    interruptible_event = InterruptibleEvent(payload=interrupted_audio_chunk, is_interruptible=True)
+    interruptible_event.interruption_event.set()
+
+    uninterruptible_event = InterruptibleEvent(
+        payload=uninterruptible_audio_chunk, is_interruptible=False
+    )
+    uninterruptible_event.interruption_event.set()
+
+    output_device.consume_nonblocking(InterruptibleEvent(payload=played_audio_chunk))
+    output_device.consume_nonblocking(interruptible_event)
+    output_device.consume_nonblocking(uninterruptible_event)
+    output_device.start()
+
+    await played_event.wait()
+    assert played_audio_chunk.state == ChunkState.PLAYED
+
+    await interrupted_event.wait()
+    assert interrupted_audio_chunk.state == ChunkState.INTERRUPTED
+
+    await uninterruptible_played_event.wait()
+    assert uninterruptible_audio_chunk.state == ChunkState.PLAYED
+
+    await output_device.terminate()
diff --git a/tests/streaming/output_device/test_twilio_output_device.py b/tests/streaming/output_device/test_twilio_output_device.py
new file mode 100644
index 0000000000..c2c26c8d87
--- /dev/null
+++ b/tests/streaming/output_device/test_twilio_output_device.py
@@ -0,0 +1,155 @@
+import asyncio
+import base64
+import json
+
+import pytest
+from pytest_mock import MockerFixture
+
+from vocode.streaming.output_device.audio_chunk import AudioChunk, ChunkState
+from vocode.streaming.output_device.twilio_output_device import (
+    ChunkFinishedMarkMessage,
+    TwilioOutputDevice,
+)
+from vocode.streaming.utils.dtmf_utils import DTMFToneGenerator, KeypadEntry
+from vocode.streaming.utils.singleton import SingletonMeta
+from vocode.streaming.utils.worker import InterruptibleEvent
+
+
+@pytest.fixture
+def mock_ws(mocker: MockerFixture):
+    return mocker.AsyncMock()
+
+
+@pytest.fixture
+def mock_stream_sid():
+    return "stream_sid"
+
+
+@pytest.fixture
+def twilio_output_device(mock_ws, mock_stream_sid):
+    return TwilioOutputDevice(ws=mock_ws, stream_sid=mock_stream_sid)
+
+
+@pytest.mark.asyncio
+async def test_calls_play_callbacks(twilio_output_device: TwilioOutputDevice):
+    played_event = asyncio.Event()
+
+    def on_play():
+        played_event.set()
+
+    audio_chunk = AudioChunk(data=b"")
+    audio_chunk.on_play = on_play
+
+    twilio_output_device.consume_nonblocking(InterruptibleEvent(payload=audio_chunk))
+    twilio_output_device.start()
+    twilio_output_device.enqueue_mark_message(
+        ChunkFinishedMarkMessage(chunk_id=str(audio_chunk.chunk_id))
+    )
+
+    await played_event.wait()
+    assert audio_chunk.state == ChunkState.PLAYED
+
+    media_message = json.loads(twilio_output_device.ws.send_text.call_args_list[0][0][0])
+    assert media_message["streamSid"] == twilio_output_device.stream_sid
+    assert media_message["media"] == {"payload": base64.b64encode(audio_chunk.data).decode("utf-8")}
+
+    mark_message = json.loads(twilio_output_device.ws.send_text.call_args_list[1][0][0])
+    assert mark_message["streamSid"] == twilio_output_device.stream_sid
+    assert mark_message["mark"]["name"] == str(audio_chunk.chunk_id)
+
+    await twilio_output_device.terminate()
+
+
+@pytest.mark.asyncio
+async def test_calls_interrupt_callbacks(twilio_output_device: TwilioOutputDevice):
+    interrupted_event = asyncio.Event()
+
+    def on_interrupt():
+        interrupted_event.set()
+
+    audio_chunk = AudioChunk(data=b"")
+    audio_chunk.on_interrupt = on_interrupt
+
+    interruptible_event = InterruptibleEvent(payload=audio_chunk, is_interruptible=True)
+
+    twilio_output_device.consume_nonblocking(interruptible_event)
+    # we start the twilio events task and the mark messages task manually to test this particular case
+
+    # step 1: media is sent into the websocket
+    send_twilio_messages_task = asyncio.create_task(twilio_output_device._send_twilio_messages())
+
+    while not twilio_output_device._twilio_events_queue.empty():
+        await asyncio.sleep(0.1)
+
+    # step 2: we get an interrupt
+    interruptible_event.interrupt()
+    twilio_output_device.interrupt()
+
+    # note: this means that the time between the events being interrupted and the clear message being sent, chunks
+    # will be marked interrupted - this is OK since the clear message is sent almost instantaneously once queued
+    # this is required because it stops queueing new chunks to be sent to the WS immediately
+
+    while not twilio_output_device._twilio_events_queue.empty():
+        await asyncio.sleep(0.1)
+
+    # step 3: we get a mark message for the interrupted audio chunk after the clear message
+    twilio_output_device.enqueue_mark_message(
+        ChunkFinishedMarkMessage(chunk_id=str(audio_chunk.chunk_id))
+    )
+    process_mark_messages_task = asyncio.create_task(twilio_output_device._process_mark_messages())
+
+    await interrupted_event.wait()
+    assert audio_chunk.state == ChunkState.INTERRUPTED
+
+    media_message = json.loads(twilio_output_device.ws.send_text.call_args_list[0][0][0])
+    assert media_message["streamSid"] == twilio_output_device.stream_sid
+    assert media_message["media"] == {"payload": base64.b64encode(audio_chunk.data).decode("utf-8")}
+
+    mark_message = json.loads(twilio_output_device.ws.send_text.call_args_list[1][0][0])
+    assert mark_message["streamSid"] == twilio_output_device.stream_sid
+    assert mark_message["mark"]["name"] == str(audio_chunk.chunk_id)
+
+    clear_message = json.loads(twilio_output_device.ws.send_text.call_args_list[2][0][0])
+    assert clear_message["streamSid"] == twilio_output_device.stream_sid
+    assert clear_message["event"] == "clear"
+
+    send_twilio_messages_task.cancel()
+    process_mark_messages_task.cancel()
+
+
+@pytest.mark.asyncio
+async def test_interrupted_audio_chunks_are_not_sent_but_are_marked_interrupted(
+    twilio_output_device: TwilioOutputDevice,
+):
+    interrupted_event = asyncio.Event()
+
+    def on_interrupt():
+        interrupted_event.set()
+
+    audio_chunk = AudioChunk(data=b"")
+    audio_chunk.on_interrupt = on_interrupt
+
+    interruptible_event = InterruptibleEvent(payload=audio_chunk, is_interruptible=True)
+    interruptible_event.interrupt()
+
+    twilio_output_device.consume_nonblocking(interruptible_event)
+    twilio_output_device.start()
+
+    await interrupted_event.wait()
+    assert audio_chunk.state == ChunkState.INTERRUPTED
+
+    twilio_output_device.ws.send_text.assert_not_called()
+
+
+def test_dtmf_tone_generator_caches(
+    twilio_output_device: TwilioOutputDevice, mocker: MockerFixture
+):
+    del SingletonMeta._instances[DTMFToneGenerator]
+    lin2ulaw_mock = mocker.patch(
+        "audioop.lin2ulaw",
+        return_value=b"ulaw_encoded",
+    )
+
+    twilio_output_device.send_dtmf_tones([KeypadEntry.ONE, KeypadEntry.ONE])
+
+    lin2ulaw_mock.assert_called_once()
diff --git a/tests/streaming/synthesizer/conftest.py b/tests/streaming/synthesizer/conftest.py
new file mode 100644
index 0000000000..01a42f63d3
--- /dev/null
+++ b/tests/streaming/synthesizer/conftest.py
@@ -0,0 +1,26 @@
+import pytest
+
+
+@pytest.fixture(scope="session")
+def default_env_vars(default_env_vars: dict[str, str]) -> dict[str, str]:
+    """
+    Extends the `default_env_vars` fixture specifically for the submodule.
+
+    This fixture takes the session-scoped `default_env_vars` fixture from the parent conftest.py
+    and extends or overrides it with additional or modified environment variables specific to
+    the submodule.
+
+    :param default_env_vars: The inherited `default_env_vars` fixture from the parent conftest.
+    :return: A modified dictionary of default environment variables for the submodule.
+    """
+    submodule_env_vars = default_env_vars.copy()
+
+    submodule_env_vars.update(
+        {
+            "VOCODE_PLAYHT_ON_PREM_ADDR": "test",
+            "BASE_URL": "test",
+            "CALL_SERVER_BASE_URL": "test2",
+        }
+    )
+
+    return submodule_env_vars
diff --git a/tests/streaming/synthesizer/test_audio_cache.py b/tests/streaming/synthesizer/test_audio_cache.py
new file mode 100644
index 0000000000..5bc9efc7c3
--- /dev/null
+++ b/tests/streaming/synthesizer/test_audio_cache.py
@@ -0,0 +1,61 @@
+import pytest
+from fakeredis import FakeAsyncRedis, FakeServer
+from pytest_mock import MockerFixture
+
+from vocode.streaming.utils.singleton import Singleton
+
+
+@pytest.fixture(autouse=True)
+def cleanup_singleton_audio_cache():
+    from vocode.streaming.synthesizer.audio_cache import AudioCache
+
+    if AudioCache in Singleton._instances:
+        del Singleton._instances[AudioCache]
+    yield
+
+
+@pytest.mark.asyncio
+async def test_set_and_get(mocker: MockerFixture):
+    from vocode.streaming.synthesizer.audio_cache import AudioCache
+
+    fake_redis = FakeAsyncRedis()
+
+    mocker.patch(
+        "vocode.streaming.synthesizer.audio_cache.initialize_redis_bytes", return_value=fake_redis
+    )
+
+    cache = await AudioCache.safe_create()
+    voice_identifier = "voice_id"
+    text = "text"
+    audio_data = b"chunk"
+
+    assert await cache.get_audio(voice_identifier, text) is None
+
+    await cache.set_audio(voice_identifier, text, audio_data)
+    assert await cache.get_audio(voice_identifier, text) == b"chunk"
+
+
+@pytest.mark.asyncio
+async def test_safe_create_set_and_get_disabled(mocker: MockerFixture):
+    from vocode.streaming.synthesizer.audio_cache import AudioCache
+
+    # will fail the ping
+    server = FakeServer()
+    server.connected = False
+
+    fake_redis = FakeAsyncRedis(server=server)
+
+    mocker.patch(
+        "vocode.streaming.synthesizer.audio_cache.initialize_redis_bytes", return_value=fake_redis
+    )
+
+    cache = await AudioCache.safe_create()
+    voice_identifier = "voice_id"
+    text = "text"
+    audio_data = b"chunk"
+
+    assert await cache.get_audio(voice_identifier, text) is None
+
+    await cache.set_audio(voice_identifier, text, audio_data)
+
+    assert await cache.get_audio(voice_identifier, text) is None
diff --git a/tests/streaming/synthesizer/test_factory.py b/tests/streaming/synthesizer/test_factory.py
new file mode 100644
index 0000000000..9ee262a161
--- /dev/null
+++ b/tests/streaming/synthesizer/test_factory.py
@@ -0,0 +1,87 @@
+from unittest.mock import MagicMock, patch
+
+from pyht import AsyncClient
+from pyht.client import CongestionCtrl
+from pytest_mock import MockerFixture
+
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.synthesizer import PlayHtSynthesizerConfig
+from vocode.streaming.synthesizer.default_factory import DefaultSynthesizerFactory
+
+DEFAULT_PARAMS = {
+    "sampling_rate": 16000,
+    "audio_encoding": AudioEncoding.LINEAR16,
+    "voice_id": "s3://manifest.json",
+}
+
+
+def test_get_play_ht_synthesizer_v2_or_v1(mocker: MockerFixture):
+    factory = DefaultSynthesizerFactory()
+
+    v1_constructor = mocker.patch("vocode.streaming.synthesizer.default_factory.PlayHtSynthesizer")
+    v2_constructor = mocker.patch(
+        "vocode.streaming.synthesizer.default_factory.PlayHtSynthesizerV2"
+    )
+
+    factory.create_synthesizer(
+        PlayHtSynthesizerConfig(version="2", **DEFAULT_PARAMS.copy()),
+    ),
+    v2_constructor.assert_called_once()
+    v2_constructor.reset_mock()
+
+    factory.create_synthesizer(
+        PlayHtSynthesizerConfig(version="1", **DEFAULT_PARAMS.copy()),
+    )
+    v1_constructor.assert_called_once()
+    v1_constructor.reset_mock()
+
+    factory.create_synthesizer(
+        PlayHtSynthesizerConfig(**DEFAULT_PARAMS.copy()),
+    )
+    v2_constructor.assert_called_once()
+
+
+def test_create_play_ht_synthesizer_on_prem(mocker: MockerFixture):
+    with patch(
+        "vocode.streaming.synthesizer.play_ht_synthesizer_v2.AsyncClient",
+        new_callable=MagicMock,
+    ) as MockOSClient:
+        MockOSClient.AdvancedOptions = AsyncClient.AdvancedOptions
+
+        user_id = "user_id"
+        api_key = "api_key"
+        factory = DefaultSynthesizerFactory()
+
+        factory.create_synthesizer(
+            PlayHtSynthesizerConfig(
+                version="2", **DEFAULT_PARAMS.copy(), user_id=user_id, api_key=api_key
+            ),
+        )
+
+        MockOSClient.assert_called_once_with(user_id=user_id, api_key=api_key)
+
+        MockOSClient.reset_mock()
+
+        factory.create_synthesizer(
+            PlayHtSynthesizerConfig(
+                version="2",
+                on_prem=True,
+                on_prem_provider="aws",
+                **DEFAULT_PARAMS.copy(),
+                user_id=user_id,
+                api_key=api_key
+            ),
+        )
+
+        advanced_options = AsyncClient.AdvancedOptions(
+            grpc_addr=None,
+            fallback_enabled=True,
+            congestion_ctrl=CongestionCtrl.STATIC_MAR_2023,
+        )
+
+        MockOSClient.assert_called_with(
+            user_id=user_id,
+            api_key=api_key,
+            advanced=advanced_options,
+        )
+        MockOSClient.reset_mock()
diff --git a/tests/streaming/test_streaming_conversation.py b/tests/streaming/test_streaming_conversation.py
index bfc8ee25ad..89149994ab 100644
--- a/tests/streaming/test_streaming_conversation.py
+++ b/tests/streaming/test_streaming_conversation.py
@@ -1,51 +1,612 @@
 import asyncio
-import logging
+import threading
+from typing import AsyncGenerator, List, Optional
+from unittest.mock import MagicMock
+
 import pytest
-from tests.streaming.fixtures.output_device import SilentOutputDevice
-from tests.streaming.fixtures.synthesizer import TestSynthesizer, TestSynthesizerConfig
-from tests.streaming.fixtures.transcriber import (
-    TestAsyncTranscriber,
-    TestTranscriberConfig,
+from pydantic.v1 import BaseModel
+from pytest_mock import MockerFixture
+
+from tests.fakedata.conversation import (
+    DEFAULT_CHAT_GPT_AGENT_CONFIG,
+    DummyOutputDevice,
+    create_fake_agent,
+    create_fake_streaming_conversation,
 )
+from tests.fixtures.synthesizer import TestSynthesizer, TestSynthesizerConfig
+from tests.fixtures.transcriber import TestAsyncTranscriber, TestTranscriberConfig
 from vocode.streaming.agent.echo_agent import EchoAgent
-from vocode.streaming.models.agent import EchoAgentConfig
-from vocode.streaming.models.audio_encoding import AudioEncoding
+from vocode.streaming.models.actions import ActionInput
+from vocode.streaming.models.agent import EchoAgentConfig, InterruptSensitivity
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.events import Sender
 from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.transcriber import Transcription
+from vocode.streaming.models.transcript import ActionStart, Message, Transcript
 from vocode.streaming.streaming_conversation import StreamingConversation
+from vocode.streaming.synthesizer.base_synthesizer import SynthesisResult
+from vocode.streaming.utils.worker import QueueConsumer
+
+
+class ShouldIgnoreUtteranceTestCase(BaseModel):
+    transcript: Transcript
+    human_transcription: str
+    expected: bool
+
 
-logging.basicConfig()
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
+async def _get_from_consumer_queue_if_exists(queue_consumer: QueueConsumer, timeout: float = 0.1):
+    try:
+        return await asyncio.wait_for(queue_consumer.input_queue.get(), timeout=timeout)
+    except asyncio.TimeoutError:
+        return None
+
+
+def test_interrupt_sensitivity(mocker: MockerFixture):
+    from vocode.streaming.streaming_conversation import StreamingConversation
+
+    mock_instance = mocker.MagicMock(spec=StreamingConversation.TranscriptionsWorker)
+    mocker.patch.object(
+        mock_instance,
+        "is_transcription_backchannel",
+        wraps=StreamingConversation.TranscriptionsWorker.is_transcription_backchannel,
+    )
+    mock_instance.conversation = mocker.MagicMock()
+    mock_instance.conversation.agent = mocker.MagicMock()
+
+    mock_instance.conversation.agent.get_agent_config = mocker.MagicMock(
+        return_value=mocker.MagicMock(interrupt_sensitivity="high")
+    )
+
+    test_transcription = Transcription(message="test", confidence=1.0, is_final=True)
+    assert mock_instance.is_transcription_backchannel(mock_instance, test_transcription) is False
+
+    mock_instance.conversation.agent.get_agent_config = mocker.MagicMock(
+        return_value=mocker.MagicMock(interrupt_sensitivity="low")
+    )
+    assert mock_instance.is_transcription_backchannel(mock_instance, test_transcription) is True
+
+
+@pytest.mark.parametrize(
+    "test_case",
+    [
+        ShouldIgnoreUtteranceTestCase(
+            transcript=Transcript(
+                event_logs=[],
+            ),
+            human_transcription="hi",
+            expected=False,
+        ),
+        ShouldIgnoreUtteranceTestCase(
+            transcript=Transcript(
+                event_logs=[
+                    Message(
+                        sender=Sender.BOT,
+                        text="hi there",
+                        is_final=True,
+                        is_end_of_turn=True,
+                    ),
+                ],
+            ),
+            human_transcription="hi",
+            expected=False,
+        ),
+        ShouldIgnoreUtteranceTestCase(
+            transcript=Transcript(
+                event_logs=[
+                    Message(
+                        sender=Sender.BOT,
+                        text="hi there",
+                        is_final=False,
+                        is_end_of_turn=False,
+                    ),
+                ],
+            ),
+            human_transcription="one two three four",
+            expected=False,
+        ),
+        ShouldIgnoreUtteranceTestCase(
+            transcript=Transcript(
+                event_logs=[
+                    Message(
+                        sender=Sender.BOT,
+                        text="hi there",
+                        is_final=False,
+                        is_end_of_turn=False,
+                    ),
+                ],
+            ),
+            human_transcription="hello?",
+            expected=True,
+        ),
+        ShouldIgnoreUtteranceTestCase(
+            transcript=Transcript(
+                event_logs=[
+                    Message(
+                        sender=Sender.BOT,
+                        text="hi there",
+                        is_final=True,
+                        is_end_of_turn=True,
+                    ),
+                    Message(
+                        sender=Sender.HUMAN,
+                        text="hi there",
+                    ),
+                ],
+            ),
+            human_transcription="hello?",
+            expected=False,
+        ),
+        ShouldIgnoreUtteranceTestCase(
+            transcript=Transcript(
+                event_logs=[
+                    Message(
+                        sender=Sender.BOT,
+                        text="hi there",
+                        is_final=False,
+                    ),
+                    ActionStart(
+                        action_type="action",
+                        action_input=MagicMock(spec=ActionInput),
+                    ),
+                ],
+            ),
+            human_transcription="hello?",
+            expected=True,
+        ),
+        ShouldIgnoreUtteranceTestCase(
+            transcript=Transcript(
+                event_logs=[
+                    Message(
+                        sender=Sender.BOT,
+                        text="hi there",
+                        is_final=True,
+                        is_end_of_turn=True,
+                    ),
+                    ActionStart(
+                        action_type="action",
+                        action_input=MagicMock(spec=ActionInput),
+                    ),
+                ],
+            ),
+            human_transcription="hello?",
+            expected=False,
+        ),
+    ],
+)
+def test_should_ignore_utterance(
+    mocker: MockerFixture,
+    test_case: ShouldIgnoreUtteranceTestCase,
+):
+    from vocode.streaming.streaming_conversation import StreamingConversation
+
+    conversation = mocker.MagicMock()
+    transcriptions_worker = StreamingConversation.TranscriptionsWorker(
+        conversation=conversation,
+        interruptible_event_factory=mocker.MagicMock(),
+    )
+    conversation = mocker.MagicMock()
+    conversation.interrupt_sensitivity = "low"
+    transcriptions_worker.has_associated_ignored_utterance = False
+
+    transcriptions_worker.conversation.transcript = test_case.transcript
+    assert (
+        transcriptions_worker.should_ignore_utterance(
+            Transcription(message=test_case.human_transcription, confidence=1.0, is_final=True),
+        )
+        == test_case.expected
+    )
+
+
+class TranscriptionsWorkerTestCase(BaseModel):
+    transcriptions: List[Transcription]
+    transcript: Transcript
+    should_broadcast_interrupt: bool
+    initial_message_ongoing: bool
+    should_kick_off_pipeline: bool
+    interrupt_sensitivity: InterruptSensitivity
+
+
+async def _mock_streaming_conversation_constructor(
+    mocker: MockerFixture,
+    interrupt_sensitivity: InterruptSensitivity = "low",
+):
+
+    streaming_conversation = create_fake_streaming_conversation(
+        mocker,
+        agent=create_fake_agent(
+            mocker,
+            DEFAULT_CHAT_GPT_AGENT_CONFIG.copy(
+                update={"interrupt_sensitivity": interrupt_sensitivity}
+            ),
+        ),
+    )
+    streaming_conversation.broadcast_interrupt = mocker.MagicMock(
+        wraps=streaming_conversation.broadcast_interrupt
+    )
+    return streaming_conversation
 
 
 @pytest.mark.asyncio
-async def test_streaming_conversation():
-    sampling_rate = 16000
-    audio_encoding = AudioEncoding.LINEAR16
-    chunk_size = 2048
-    silent_output_device = SilentOutputDevice(
-        sampling_rate=sampling_rate, audio_encoding=audio_encoding
+async def test_transcriptions_worker_ignores_utterances_before_initial_message(
+    mocker: MockerFixture,
+):
+    streaming_conversation = await _mock_streaming_conversation_constructor(
+        mocker,
     )
 
-    conversation = StreamingConversation(
-        output_device=silent_output_device,
+    transcriptions_worker_consumer = QueueConsumer()
+    streaming_conversation.transcriptions_worker.consumer = transcriptions_worker_consumer
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="sup",
+            confidence=1.0,
+            is_final=True,
+        ),
+    )
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="hi, who is",
+            confidence=1.0,
+            is_final=False,
+        ),
+    )
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="hi, who is calling?",
+            confidence=1.0,
+            is_final=True,
+        ),
+    )
+    streaming_conversation.transcriptions_worker.start()
+    assert await _get_from_consumer_queue_if_exists(transcriptions_worker_consumer) is None
+    assert not streaming_conversation.broadcast_interrupt.called
+
+    streaming_conversation.transcript.add_bot_message(
+        text="hi there", is_final=True, conversation_id="test"
+    )
+    streaming_conversation.initial_message_tracker.set()
+
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="hi, who is this?",
+            confidence=1.0,
+            is_final=True,
+        ),
+    )
+
+    transcription_agent_input = await _get_from_consumer_queue_if_exists(
+        transcriptions_worker_consumer
+    )
+    assert transcription_agent_input.payload.transcription.message == "hi, who is this?"
+    assert streaming_conversation.broadcast_interrupt.called
+
+    assert streaming_conversation.transcript.event_logs[0].sender == Sender.BOT
+
+    human_backchannels = streaming_conversation.transcript.event_logs[1:]
+    assert all(
+        backchannel.sender == Sender.HUMAN and backchannel.is_backchannel
+        for backchannel in human_backchannels
+    )
+    await streaming_conversation.transcriptions_worker.terminate()
+
+
+@pytest.mark.asyncio
+async def test_transcriptions_worker_ignores_associated_ignored_utterance(
+    mocker: MockerFixture,
+):
+    streaming_conversation = await _mock_streaming_conversation_constructor(
+        mocker,
+    )
+
+    streaming_conversation.initial_message_tracker.set()
+    streaming_conversation.transcript.add_bot_message(
+        text="Hi, I was wondering",
+        is_final=False,
+        conversation_id="test",
+    )
+
+    transcriptions_worker_consumer = QueueConsumer()
+    streaming_conversation.transcriptions_worker.consumer = transcriptions_worker_consumer
+    streaming_conversation.transcriptions_worker.start()
+
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="i'm listening",
+            confidence=1.0,
+            is_final=False,
+        ),
+    )
+
+    assert await _get_from_consumer_queue_if_exists(transcriptions_worker_consumer) is None
+    assert not streaming_conversation.broadcast_interrupt.called  # ignored for length of response
+
+    streaming_conversation.transcript.event_logs[-1].text = (
+        "Hi, I was wondering if you had a chance to look at my email?"
+    )
+    streaming_conversation.transcript.event_logs[-1].is_final = True
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="I'm listening.",
+            confidence=1.0,
+            is_final=True,
+        ),
+    )
+
+    assert await _get_from_consumer_queue_if_exists(transcriptions_worker_consumer) is None
+    assert not streaming_conversation.broadcast_interrupt.called  # ignored for length of response
+
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="I have not yet gotten a chance.",
+            confidence=1.0,
+            is_final=True,
+        ),
+    )
+
+    transcription_agent_input = await _get_from_consumer_queue_if_exists(
+        transcriptions_worker_consumer
+    )
+    assert (
+        transcription_agent_input.payload.transcription.message == "I have not yet gotten a chance."
+    )
+    assert streaming_conversation.broadcast_interrupt.called
+    assert [message.text for message in streaming_conversation.transcript.event_logs] == [
+        "Hi, I was wondering if you had a chance to look at my email?",
+        "I'm listening.",
+    ]
+    assert streaming_conversation.transcript.event_logs[-1].is_backchannel
+    await streaming_conversation.transcriptions_worker.terminate()
+
+
+@pytest.mark.asyncio
+async def test_transcriptions_worker_interrupts_on_interim_transcripts(
+    mocker: MockerFixture,
+):
+    streaming_conversation = await _mock_streaming_conversation_constructor(
+        mocker,
+    )
+
+    streaming_conversation.initial_message_tracker.set()
+    streaming_conversation.transcript.add_bot_message(
+        text="Hi, I was wondering",
+        is_final=False,
+        conversation_id="test",
+    )
+
+    transcriptions_worker_consumer = QueueConsumer()
+    streaming_conversation.transcriptions_worker.consumer = transcriptions_worker_consumer
+    streaming_conversation.transcriptions_worker.start()
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="Sorry, could you stop",
+            confidence=1.0,
+            is_final=False,
+        ),
+    )
+
+    assert await _get_from_consumer_queue_if_exists(transcriptions_worker_consumer) is None
+    assert streaming_conversation.broadcast_interrupt.called
+
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="Sorry, could you stop talking please?",
+            confidence=1.0,
+            is_final=True,
+        ),
+    )
+
+    transcription_agent_input = await _get_from_consumer_queue_if_exists(
+        transcriptions_worker_consumer
+    )
+    assert (
+        transcription_agent_input.payload.transcription.message
+        == "Sorry, could you stop talking please?"
+    )
+
+    assert streaming_conversation.transcript.event_logs[-1].sender == Sender.BOT
+    assert streaming_conversation.transcript.event_logs[-1].text == "Hi, I was wondering"
+    await streaming_conversation.transcriptions_worker.terminate()
+
+
+@pytest.mark.asyncio
+async def test_transcriptions_worker_interrupts_immediately_before_bot_has_begun_turn(
+    mocker: MockerFixture,
+):
+    streaming_conversation = await _mock_streaming_conversation_constructor(
+        mocker,
+    )
+
+    streaming_conversation.initial_message_tracker.set()
+
+    transcriptions_worker_consumer = QueueConsumer()
+    streaming_conversation.transcriptions_worker.consumer = transcriptions_worker_consumer
+    streaming_conversation.transcriptions_worker.start()
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="Sorry,",
+            confidence=1.0,
+            is_final=False,
+        ),
+    )
+
+    assert await _get_from_consumer_queue_if_exists(transcriptions_worker_consumer) is None
+    assert streaming_conversation.broadcast_interrupt.called
+
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="Sorry, what?",
+            confidence=1.0,
+            is_final=True,
+        ),
+    )
+    transcription_agent_input = await _get_from_consumer_queue_if_exists(
+        transcriptions_worker_consumer
+    )
+    assert transcription_agent_input.payload.transcription.message == "Sorry, what?"
+    assert streaming_conversation.broadcast_interrupt.called
+
+    streaming_conversation.transcript.add_bot_message(
+        text="", is_final=False, conversation_id="test"
+    )
+
+    streaming_conversation.transcriptions_worker.consume_nonblocking(
+        Transcription(
+            message="Couldn't",
+            confidence=1.0,
+            is_final=False,
+        ),
+    )
+
+    assert await _get_from_consumer_queue_if_exists(transcriptions_worker_consumer) is None
+    assert streaming_conversation.broadcast_interrupt.called
+
+    await streaming_conversation.transcriptions_worker.terminate()
+
+
+def _create_dummy_synthesis_result(
+    message: str = "Hi there",
+    num_audio_chunks: int = 3,
+    chunk_generator_override: Optional[AsyncGenerator[SynthesisResult.ChunkResult, None]] = None,
+):
+    async def chunk_generator():
+        for i in range(num_audio_chunks):
+            yield SynthesisResult.ChunkResult(chunk=b"", is_last_chunk=i == num_audio_chunks - 1)
+
+    def get_message_up_to(seconds: Optional[float]):
+        if seconds is None:
+            return message
+        return message[: len(message) // 2]
+
+    return SynthesisResult(
+        chunk_generator=chunk_generator_override or chunk_generator(),
+        get_message_up_to=get_message_up_to,
+    )
+
+
+@pytest.mark.asyncio
+async def test_send_speech_to_output_uninterrupted(
+    mocker: MockerFixture,
+):
+    streaming_conversation = await _mock_streaming_conversation_constructor(mocker)
+    synthesis_result = _create_dummy_synthesis_result()
+    stop_event = threading.Event()
+    transcript_message = Message(
+        text="",
+        sender=Sender.BOT,
+    )
+
+    streaming_conversation.output_device.start()
+    message_sent, cut_off = await streaming_conversation.send_speech_to_output(
+        message="Hi there",
+        synthesis_result=synthesis_result,
+        stop_event=stop_event,
+        seconds_per_chunk=0.1,
+        transcript_message=transcript_message,
+    )
+    streaming_conversation.output_device.flush()
+
+    assert message_sent == "Hi there"
+    assert not cut_off
+    assert transcript_message.text == "Hi there"
+    assert transcript_message.is_final
+
+
+@pytest.mark.asyncio
+async def test_send_speech_to_output_interrupted_before_all_chunks_sent(
+    mocker: MockerFixture,
+):
+    streaming_conversation = await _mock_streaming_conversation_constructor(mocker)
+    synthesis_result = _create_dummy_synthesis_result()
+    stop_event = threading.Event()
+    transcript_message = Message(
+        text="",
+        sender=Sender.BOT,
+    )
+    stop_event.set()
+
+    streaming_conversation.output_device.start()
+    message_sent, cut_off = await streaming_conversation.send_speech_to_output(
+        message="Hi there",
+        synthesis_result=synthesis_result,
+        stop_event=stop_event,
+        seconds_per_chunk=0.1,
+        transcript_message=transcript_message,
+    )
+    streaming_conversation.output_device.flush()
+
+    assert message_sent != "Hi there"
+    assert cut_off
+    assert transcript_message.text != "Hi there"
+    assert not transcript_message.is_final
+
+
+@pytest.mark.asyncio
+async def test_send_speech_to_output_interrupted_during_playback(
+    mocker: MockerFixture,
+):
+    finished_sending_chunks = asyncio.Event()
+
+    async def chunk_generator():
+        yield SynthesisResult.ChunkResult(chunk=b"", is_last_chunk=False)
+        yield SynthesisResult.ChunkResult(chunk=b"", is_last_chunk=False)
+        yield SynthesisResult.ChunkResult(chunk=b"", is_last_chunk=True)
+        finished_sending_chunks.set()
+
+    streaming_conversation = await _mock_streaming_conversation_constructor(mocker)
+    synthesis_result = _create_dummy_synthesis_result(chunk_generator_override=chunk_generator())
+    stop_event = threading.Event()
+    transcript_message = Message(
+        text="",
+        sender=Sender.BOT,
+    )
+
+    streaming_conversation.output_device.wait_for_interrupt = True
+
+    streaming_conversation.output_device.start()
+    send_speech_to_output_task = asyncio.create_task(
+        streaming_conversation.send_speech_to_output(
+            message="Hi there",
+            synthesis_result=synthesis_result,
+            stop_event=stop_event,
+            seconds_per_chunk=0.1,
+            transcript_message=transcript_message,
+        )
+    )
+    await finished_sending_chunks.wait()
+    stop_event.set()
+    streaming_conversation.output_device.interrupt_event.set()
+    message_sent, cut_off = await send_speech_to_output_task
+    await streaming_conversation.output_device.terminate()
+
+    assert message_sent != "Hi there"
+    assert cut_off
+    assert transcript_message.text != "Hi there"
+    assert not transcript_message.is_final
+
+
+@pytest.mark.asyncio
+async def test_streaming_conversation_pipeline(
+    mocker: MockerFixture,
+):
+    output_device = DummyOutputDevice(sampling_rate=48000, audio_encoding=AudioEncoding.LINEAR16)
+    streaming_conversation = StreamingConversation(
+        output_device=output_device,
         transcriber=TestAsyncTranscriber(
             TestTranscriberConfig(
-                sampling_rate=sampling_rate,
-                audio_encoding=audio_encoding,
-                chunk_size=chunk_size,
+                sampling_rate=48000,
+                audio_encoding=AudioEncoding.LINEAR16,
+                chunk_size=480,
             )
         ),
         agent=EchoAgent(
-            EchoAgentConfig(
-                initial_message=BaseMessage(text="test"),
-            )
-        ),
-        synthesizer=TestSynthesizer(
-            TestSynthesizerConfig.from_output_device(silent_output_device)
+            EchoAgentConfig(initial_message=BaseMessage(text="Hi there")),
         ),
-        logger=logger,
+        synthesizer=TestSynthesizer(TestSynthesizerConfig.from_output_device(output_device)),
     )
-    await conversation.start()
-    await asyncio.sleep(1)
-    await conversation.terminate()
+    await streaming_conversation.start()
+    await streaming_conversation.initial_message_tracker.wait()
+    streaming_conversation.receive_audio(b"test")
+    initial_message_audio_chunk = await output_device.dummy_playback_queue.get()
+    assert initial_message_audio_chunk.data == b"Hi there"
+    first_response_audio_chunk = await output_device.dummy_playback_queue.get()
+    assert first_response_audio_chunk.data == b"test"
diff --git a/tests/streaming/utils/test_events_manager.py b/tests/streaming/utils/test_events_manager.py
new file mode 100644
index 0000000000..75cb02f32f
--- /dev/null
+++ b/tests/streaming/utils/test_events_manager.py
@@ -0,0 +1,79 @@
+import asyncio
+
+import pytest
+
+from vocode.streaming.models.events import EventType, PhoneCallEndedEvent
+from vocode.streaming.utils.events_manager import EventsManager
+
+CONVERSATION_ID = "1"
+
+
+@pytest.mark.asyncio
+async def test_initialization():
+    manager = EventsManager()
+    assert manager.subscriptions == set()
+    assert isinstance(manager.queue, asyncio.Queue)
+    assert not manager.active
+
+
+@pytest.mark.asyncio
+async def test_publish_event():
+    event = PhoneCallEndedEvent(
+        conversation_id=CONVERSATION_ID, type=EventType.PHONE_CALL_ENDED
+    )  # Replace with actual Event creation
+    manager = EventsManager([EventType.PHONE_CALL_ENDED])
+    manager.publish_event(event)
+    assert not manager.queue.empty()
+
+
+@pytest.mark.asyncio
+async def test_handle_event_default_implementation():
+    event = PhoneCallEndedEvent(
+        conversation_id=CONVERSATION_ID, type=EventType.PHONE_CALL_ENDED
+    )  # Replace with actual Event creation
+    manager = EventsManager([EventType.PHONE_CALL_ENDED])
+    await manager.handle_event(event)
+
+
+@pytest.mark.asyncio
+async def test_handle_event_non_async_override(mocker):
+    event = PhoneCallEndedEvent(conversation_id=CONVERSATION_ID, type=EventType.PHONE_CALL_ENDED)
+    manager = EventsManager([EventType.PHONE_CALL_ENDED])
+    manager.publish_event(event)
+
+    error_logger_mock = mocker.patch("vocode.streaming.utils.events_manager.logger.error")
+    manager.handle_event = lambda event: None
+    await manager.flush()
+    assert manager.queue.empty()
+    error_logger_mock.assert_called_once_with(
+        "Handle event was overridden with non-async function. Please override with async function."
+    )
+
+
+@pytest.mark.asyncio
+async def test_start_and_active_loop():
+    event = PhoneCallEndedEvent(
+        conversation_id=CONVERSATION_ID, type=EventType.PHONE_CALL_ENDED
+    )  # Replace with actual Event creation
+    manager = EventsManager([EventType.PHONE_CALL_ENDED])
+    asyncio.create_task(manager.start())
+    manager.publish_event(event)
+    await asyncio.sleep(0.1)
+    manager.active = False
+
+
+@pytest.mark.asyncio
+async def test_flush_method():
+    event = PhoneCallEndedEvent(conversation_id=CONVERSATION_ID, type=EventType.PHONE_CALL_ENDED)
+    manager = EventsManager([EventType.PHONE_CALL_ENDED])
+    for _ in range(5):
+        manager.publish_event(event)
+    await manager.flush()
+    assert manager.queue.empty()
+
+
+@pytest.mark.asyncio
+async def test_queue_empty_and_timeout():
+    manager = EventsManager([EventType.TRANSCRIPT])
+    await manager.flush()
+    assert manager.queue.empty()
diff --git a/tests/streaming/utils/test_phone_numbers.py b/tests/streaming/utils/test_phone_numbers.py
new file mode 100644
index 0000000000..3edfdd9fc3
--- /dev/null
+++ b/tests/streaming/utils/test_phone_numbers.py
@@ -0,0 +1,49 @@
+import re
+
+import pytest
+
+from vocode.streaming.utils.phone_numbers import NUMBER_PARSE_ERROR, sanitize_phone_number
+
+
+def test_sanitize_phone_number_valid_number_without_region():
+    phone = "14155552671"  # This is a valid US number
+    expected_result = "14155552671"
+    result = sanitize_phone_number(phone)
+    assert result == expected_result
+
+
+def test_sanitize_phone_number_valid_number_with_plus():
+    phone = "+14155552671"
+    expected_result = "14155552671"
+    result = sanitize_phone_number(phone)
+    assert result == expected_result
+
+
+def test_sanitize_phone_number_invalid_number_without_region():
+    phone = "gibberish"
+    with pytest.raises(ValueError, match=re.escape(NUMBER_PARSE_ERROR)):
+        sanitize_phone_number(phone)
+
+
+def test_sanitize_phone_number_invalid_number_with_region():
+    phone = "+1911"
+    with pytest.raises(ValueError, match=re.escape(NUMBER_PARSE_ERROR)):
+        sanitize_phone_number(phone)
+
+
+def test_sanitize_phone_number_valid_number_with_non_us_region():
+    phone = "+443031237301"  # This is a valid GB number for Buckingham Palace
+    expected_result = "443031237301"
+    result = sanitize_phone_number(phone)
+    assert result == expected_result
+
+    # test same number with no +
+    result = sanitize_phone_number(phone[1:])
+    assert result == expected_result
+
+
+def test_sanitize_phone_number_adds_country_code():
+    phone = "4155552222"
+    expected_result = "14155552222"
+    result = sanitize_phone_number(phone)
+    assert result == expected_result
diff --git a/tests/streaming/utils/test_utils.py b/tests/streaming/utils/test_utils.py
new file mode 100644
index 0000000000..04c7575df5
--- /dev/null
+++ b/tests/streaming/utils/test_utils.py
@@ -0,0 +1,54 @@
+import pytest
+
+from vocode.streaming.utils import generate_from_async_iter_with_lookahead, generate_with_is_last
+
+
+@pytest.mark.asyncio
+async def test_generate_with_is_last():
+    async def async_gen():
+        yield 1
+        yield 2
+        yield 3
+
+    async_iter = generate_with_is_last(async_gen()).__aiter__()
+
+    assert await async_iter.__anext__() == (1, False)
+    assert await async_iter.__anext__() == (2, False)
+    assert await async_iter.__anext__() == (3, True)
+
+
+@pytest.mark.asyncio
+async def test_generate_with_lookahead_long():
+    async def async_gen():
+        yield 1
+        yield 2
+        yield 3
+        yield 4
+        yield 5
+
+    async_iter = generate_from_async_iter_with_lookahead(async_gen(), 2).__aiter__()
+
+    expected_gen = [
+        [1, 2, 3],
+        [2, 3, 4],
+        [3, 4, 5],
+    ]
+    idx = 0
+    async for buffer in async_iter:
+        assert buffer == expected_gen[idx]
+        idx += 1
+
+
+@pytest.mark.asyncio
+async def test_generate_with_lookahead_short():
+    async def async_gen():
+        yield 1
+        yield 2
+
+    async_iter = generate_from_async_iter_with_lookahead(async_gen(), 2).__aiter__()
+
+    expected_gen = [[1, 2]]
+    idx = 0
+    async for buffer in async_iter:
+        assert buffer == expected_gen[idx]
+        idx += 1
diff --git a/tests/synthesizer/conftest.py b/tests/synthesizer/conftest.py
deleted file mode 100644
index 040ebeb189..0000000000
--- a/tests/synthesizer/conftest.py
+++ /dev/null
@@ -1,123 +0,0 @@
-import pytest
-from aioresponses import aioresponses, CallbackResult
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.models.synthesizer import ElevenLabsSynthesizerConfig, PlayHtSynthesizerConfig
-import re
-from vocode.streaming.synthesizer.eleven_labs_synthesizer import (
-    ElevenLabsSynthesizer,
-    ELEVEN_LABS_BASE_URL,
-)
-from vocode.streaming.synthesizer.play_ht_synthesizer import (
-    PlayHtSynthesizer,
-    TTS_ENDPOINT
-)
-
-import re
-from tests.streaming.data.loader import get_audio_path
-import asyncio
-import pytest
-
-DEFAULT_PARAMS = {"sampling_rate": 16000,
-                  "audio_encoding": AudioEncoding.LINEAR16}
-
-MOCK_API_KEY = "my_api_key"
-MOCK_USER_ID = "my_user_id"
-
-
-def create_eleven_labs_request_handler(optimize_streaming_latency=False):
-    def request_handler(url, headers, **kwargs):
-        if optimize_streaming_latency and not re.search(r"optimize_streaming_latency=\d", url):
-            raise Exception("optimize_streaming_latency not found in url")
-        if headers["xi-api-key"] != MOCK_API_KEY:
-            return CallbackResult(status=401)
-        with open(get_audio_path("fake_audio.mp3"), "rb") as audio_file:
-            return CallbackResult(content_type="audio/mpeg", body=audio_file.read())
-
-    return request_handler
-
-
-@pytest.fixture
-def mock_eleven_labs_api():
-    with aioresponses() as m:
-        pattern = re.compile(
-            rf"{re.escape(ELEVEN_LABS_BASE_URL)}text-to-speech/\w+")
-        m.post(pattern, callback=create_eleven_labs_request_handler())
-        yield m
-
-
-@pytest.fixture(scope="module")
-async def fixture_eleven_labs_synthesizer_with_api_key():
-    params = DEFAULT_PARAMS.copy()
-    params["api_key"] = MOCK_API_KEY
-    return ElevenLabsSynthesizer(ElevenLabsSynthesizerConfig(**params))
-
-
-@pytest.fixture(scope="module")
-async def fixture_eleven_labs_synthesizer_wrong_api_key():
-    params = DEFAULT_PARAMS.copy()
-    params["api_key"] = "wrong_api_key"
-    return ElevenLabsSynthesizer(ElevenLabsSynthesizerConfig(**params))
-
-
-@pytest.fixture(scope="module")
-async def fixture_eleven_labs_synthesizer_env_api_key():
-    params = DEFAULT_PARAMS.copy()
-    import os
-
-    os.environ["ELEVEN_LABS_API_KEY"] = MOCK_API_KEY
-    return ElevenLabsSynthesizer(ElevenLabsSynthesizerConfig(**params))
-
-
-# PlayHT Setup
-
-def create_play_ht_request_handler():
-    def request_handler(url, headers, **kwargs):
-        if headers["Authorization"] != f"Bearer {MOCK_API_KEY}":
-            return CallbackResult(status=401)
-        if headers["X-User-ID"] != MOCK_USER_ID:
-            return CallbackResult(status=401)
-        with open(get_audio_path("fake_audio.mp3"), "rb") as audio_file:
-            return CallbackResult(content_type="audio/mpeg", body=audio_file.read())
-
-    return request_handler
-
-
-@pytest.fixture
-def mock_play_ht_api():
-    with aioresponses() as m:
-        m.post(TTS_ENDPOINT, callback=create_play_ht_request_handler())
-        yield m
-
-
-@pytest.fixture(scope="module")
-async def fixture_play_ht_synthesizer_with_api_key():
-    params = DEFAULT_PARAMS.copy()
-    params["api_key"] = MOCK_API_KEY
-    params["user_id"] = MOCK_USER_ID
-    return PlayHtSynthesizer(PlayHtSynthesizerConfig(**params))
-
-
-@pytest.fixture(scope="module")
-async def fixture_play_ht_synthesizer_wrong_api_key():
-    params = DEFAULT_PARAMS.copy()
-    params["api_key"] = "wrong_api_key"
-    params["user_id"] = MOCK_USER_ID
-    return PlayHtSynthesizer(PlayHtSynthesizerConfig(**params))
-
-@pytest.fixture(scope="module")
-async def fixture_play_ht_synthesizer_wrong_user_id():
-    params = DEFAULT_PARAMS.copy()
-    params["api_key"] = MOCK_API_KEY
-    params["user_id"] = "wrong_api_key"
-    return PlayHtSynthesizer(PlayHtSynthesizerConfig(**params))
-
-
-@pytest.fixture(scope="module")
-async def fixture_play_ht_synthesizer_env_api_key():
-    params = DEFAULT_PARAMS.copy()
-    import os
-
-    os.environ["PLAY_HT_API_KEY"] = MOCK_API_KEY
-    os.environ["PLAY_HT_USER_ID"] = MOCK_USER_ID
-    return PlayHtSynthesizer(PlayHtSynthesizerConfig(**params))
-
diff --git a/tests/synthesizer/test_eleven_labs.py b/tests/synthesizer/test_eleven_labs.py
deleted file mode 100644
index 24304d19b0..0000000000
--- a/tests/synthesizer/test_eleven_labs.py
+++ /dev/null
@@ -1,51 +0,0 @@
-import asyncio
-from pydantic import ValidationError
-import pytest
-from vocode.streaming.synthesizer.base_synthesizer import SynthesisResult
-from vocode.streaming.synthesizer.eleven_labs_synthesizer import ElevenLabsSynthesizer
-from vocode.streaming.models.synthesizer import ElevenLabsSynthesizerConfig
-from aioresponses import aioresponses
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from pydub import AudioSegment
-
-
-async def assert_synthesis_result_valid(synthesizer: ElevenLabsSynthesizer):
-    response = await synthesizer.create_speech(BaseMessage(text="Hello, world!"), 1024)
-    assert isinstance(response, SynthesisResult)
-    assert response.chunk_generator is not None
-    audio = AudioSegment.empty()
-    async for chunk in response.chunk_generator:
-        audio += AudioSegment(
-            chunk.chunk,
-            frame_rate=synthesizer.synthesizer_config.sampling_rate,
-            sample_width=2,
-            channels=1,
-        )
-
-
-@pytest.mark.asyncio
-async def test_with_api_key(
-    fixture_eleven_labs_synthesizer_with_api_key: ElevenLabsSynthesizer,
-    mock_eleven_labs_api: aioresponses,
-):
-    await assert_synthesis_result_valid(await fixture_eleven_labs_synthesizer_with_api_key)
-
-
-@pytest.mark.asyncio
-async def test_with_wrong_api_key(
-    fixture_eleven_labs_synthesizer_wrong_api_key: ElevenLabsSynthesizer,
-    mock_eleven_labs_api: aioresponses,
-):
-    with pytest.raises(Exception, match="ElevenLabs API returned 401 status code"):
-        await (await fixture_eleven_labs_synthesizer_wrong_api_key).create_speech(
-            BaseMessage(text="Hello, world!"), 1024
-        )
-
-
-@pytest.mark.asyncio
-async def test_with_env_api_key(
-    fixture_eleven_labs_synthesizer_env_api_key: ElevenLabsSynthesizer,
-    mock_eleven_labs_api: aioresponses,
-):
-    await assert_synthesis_result_valid(await fixture_eleven_labs_synthesizer_env_api_key)
diff --git a/tests/synthesizer/test_play_ht.py b/tests/synthesizer/test_play_ht.py
deleted file mode 100644
index 59b78cfebb..0000000000
--- a/tests/synthesizer/test_play_ht.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import asyncio
-
-from aioresponses import aioresponses
-from pydub import AudioSegment
-import pytest
-
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.synthesizer.base_synthesizer import SynthesisResult
-from vocode.streaming.synthesizer.play_ht_synthesizer import PlayHtSynthesizer
-
-
-async def assert_synthesis_result_valid(synthesizer: PlayHtSynthesizer):
-    response = await synthesizer.create_speech(BaseMessage(text="Hello, world!"), 1024)
-    assert isinstance(response, SynthesisResult)
-    assert response.chunk_generator is not None
-    audio = AudioSegment.empty()
-    async for chunk in response.chunk_generator:
-        audio += AudioSegment(
-            chunk.chunk,
-            frame_rate=synthesizer.synthesizer_config.sampling_rate,
-            sample_width=2,
-            channels=1,
-        )
-
-
-@pytest.mark.asyncio
-async def test_with_api_key(
-    fixture_play_ht_synthesizer_with_api_key: PlayHtSynthesizer,
-    mock_play_ht_api: aioresponses,
-):
-    await assert_synthesis_result_valid(await fixture_play_ht_synthesizer_with_api_key)
-
-
-@pytest.mark.asyncio
-async def test_with_wrong_api_key(
-    fixture_play_ht_synthesizer_wrong_api_key: PlayHtSynthesizer,
-    mock_play_ht_api: aioresponses,
-):
-    with pytest.raises(Exception, match="Play.ht API error status code 401"):
-        await (await fixture_play_ht_synthesizer_wrong_api_key).create_speech(
-            BaseMessage(text="Hello, world!"), 1024
-        )
-
-@pytest.mark.asyncio
-async def test_with_wrong_user_id(
-    fixture_play_ht_synthesizer_wrong_user_id: PlayHtSynthesizer,
-    mock_play_ht_api: aioresponses,
-):
-    with pytest.raises(Exception, match="Play.ht API error status code 401"):
-        await (await fixture_play_ht_synthesizer_wrong_user_id).create_speech(
-            BaseMessage(text="Hello, world!"), 1024
-        )
-
-
-
-@pytest.mark.asyncio
-async def test_with_env_api_key(
-    fixture_play_ht_synthesizer_env_api_key: PlayHtSynthesizer,
-    mock_play_ht_api: aioresponses,
-):
-    await assert_synthesis_result_valid(await fixture_play_ht_synthesizer_env_api_key)
diff --git a/vocode/__init__.py b/vocode/__init__.py
index b2c8af7b07..c0c7c06126 100644
--- a/vocode/__init__.py
+++ b/vocode/__init__.py
@@ -1,7 +1,69 @@
 import os
+from contextvars import ContextVar, Token
+from typing import Any
+from uuid import UUID
 
+import sentry_sdk
+from loguru import logger
+
+from vocode.meta import ensure_punkt_installed
 
 environment = {}
+logger.disable("vocode")
+
+ensure_punkt_installed()
+
+
+class ContextWrapper:
+    """Context Variable Wrapper."""
+
+    _instances: list = []
+
+    def __init__(self, value: ContextVar) -> None:
+        self.__value: ContextVar = value
+        self.__token: Token
+        ContextWrapper._instances.append(self)
+
+    def set(self, value: Any) -> Token:
+        """Set a context variable."""
+        self.__token = self.__value.set(value)
+        if isinstance(value, str):
+            sentry_sdk.set_tag(self.__value.name, value)
+        if isinstance(value, UUID):
+            sentry_sdk.set_tag(self.__value.name, str(value))
+
+        return self.__token
+
+    def reset(self, token: Token | None = None) -> None:
+        """Reset a context variable."""
+        if not hasattr(self, "__token"):
+            return
+
+        if not token:
+            token = self.__token
+        self.__value.reset(token)
+        return
+
+    def __module__(self) -> Any:  # type: ignore
+        return self.__value.get()
+
+    @property
+    def value(self) -> Any:
+        """Gets the value of a context variable."""
+        return self.__value.get()
+
+    @classmethod
+    def serialize_instances(cls) -> dict:
+        """Gathers all instances of ContextWrapper."""
+        instances = {}
+        for instance in cls._instances:
+            value = instance.__value.get()
+            if isinstance(value, UUID):
+                value = str(value)
+
+            if isinstance(value, str):
+                instances[instance.__value.name] = value
+        return instances
 
 
 def setenv(**kwargs):
@@ -15,3 +77,11 @@ def getenv(key, default=None):
 
 api_key = getenv("VOCODE_API_KEY")
 base_url = getenv("VOCODE_BASE_URL", "api.vocode.dev")
+
+
+conversation_id: ContextWrapper = ContextWrapper(
+    ContextVar("conversation_id", default=None),
+)
+sentry_span_tags: ContextWrapper = ContextWrapper(ContextVar("sentry_span_tags", default=None))
+sentry_transaction = ContextWrapper(ContextVar("sentry_transaction", default=None))
+get_serialized_ctx_wrappers = ContextWrapper.serialize_instances
diff --git a/vocode/helpers.py b/vocode/helpers.py
index 97639bffae..d05b06fe5c 100644
--- a/vocode/helpers.py
+++ b/vocode/helpers.py
@@ -1,31 +1,26 @@
-from typing import List, Optional, Tuple, Union
 import typing
+from typing import List, Optional, Tuple, Union
+
 import sounddevice as sd
+from loguru import logger
+
 from vocode.streaming.input_device.microphone_input import (
     MicrophoneInput as StreamingMicrophoneInput,
 )
 from vocode.streaming.output_device.blocking_speaker_output import (
     BlockingSpeakerOutput as BlockingStreamingSpeakerOutput,
 )
-from vocode.streaming.output_device.speaker_output import (
-    SpeakerOutput as StreamingSpeakerOutput,
-)
 from vocode.turn_based.input_device.microphone_input import (
     MicrophoneInput as TurnBasedMicrophoneInput,
 )
-from vocode.turn_based.output_device.speaker_output import (
-    SpeakerOutput as TurnBasedSpeakerOutput,
-)
-import logging
+from vocode.turn_based.output_device.speaker_output import SpeakerOutput as TurnBasedSpeakerOutput
 
 
 def _get_device_prompt(device_infos: List[dict]) -> str:
     return """Please select a device:
 {}
 Choice: """.format(
-        "\n".join(
-            f"{index}: {device['name']}" for index, device in enumerate(device_infos)
-        )
+        "\n".join(f"{index}: {device['name']}" for index, device in enumerate(device_infos))
     )
 
 
@@ -35,20 +30,15 @@ def create_streaming_microphone_input_and_speaker_output(
     output_device_name: Optional[str] = None,
     mic_sampling_rate=None,
     speaker_sampling_rate=None,
-    use_blocking_speaker_output=False,
-    logger: Optional[logging.Logger] = None,
 ):
     return _create_microphone_input_and_speaker_output(
         microphone_class=StreamingMicrophoneInput,
-        speaker_class=BlockingStreamingSpeakerOutput
-        if use_blocking_speaker_output
-        else StreamingSpeakerOutput,
+        speaker_class=BlockingStreamingSpeakerOutput,
         use_default_devices=use_default_devices,
         input_device_name=input_device_name,
         output_device_name=output_device_name,
         mic_sampling_rate=mic_sampling_rate,
         speaker_sampling_rate=speaker_sampling_rate,
-        logger=logger,
     )
 
 
@@ -58,7 +48,6 @@ def create_turn_based_microphone_input_and_speaker_output(
     output_device_name: Optional[str] = None,
     mic_sampling_rate=None,
     speaker_sampling_rate=None,
-    logger: Optional[logging.Logger] = None,
 ):
     return _create_microphone_input_and_speaker_output(
         microphone_class=TurnBasedMicrophoneInput,
@@ -68,17 +57,13 @@ def create_turn_based_microphone_input_and_speaker_output(
         output_device_name=output_device_name,
         mic_sampling_rate=mic_sampling_rate,
         speaker_sampling_rate=speaker_sampling_rate,
-        logger=logger,
     )
 
 
 def _create_microphone_input_and_speaker_output(
-    microphone_class: typing.Type[
-        Union[StreamingMicrophoneInput, TurnBasedMicrophoneInput]
-    ],
+    microphone_class: typing.Type[Union[StreamingMicrophoneInput, TurnBasedMicrophoneInput]],
     speaker_class: typing.Type[
         Union[
-            StreamingSpeakerOutput,
             BlockingStreamingSpeakerOutput,
             TurnBasedSpeakerOutput,
         ]
@@ -88,11 +73,10 @@ def _create_microphone_input_and_speaker_output(
     output_device_name: Optional[str],
     mic_sampling_rate=None,
     speaker_sampling_rate=None,
-    logger: Optional[logging.Logger] = None,
 ) -> Union[
     Tuple[
         StreamingMicrophoneInput,
-        Union[StreamingSpeakerOutput, BlockingStreamingSpeakerOutput],
+        BlockingStreamingSpeakerOutput,
     ],
     Tuple[TurnBasedMicrophoneInput, TurnBasedSpeakerOutput],
 ]:
@@ -109,42 +93,32 @@ def _create_microphone_input_and_speaker_output(
         output_device_info = sd.query_devices(kind="output")
     else:
         if input_device_name is not None:
-            input_device_info = _find_device_with_name(
-                input_device_infos, input_device_name
-            )
+            input_device_info = _find_device_with_name(input_device_infos, input_device_name)
         else:
             input_device_info = input_device_infos[
                 int(input(_get_device_prompt(input_device_infos)))
             ]
 
         if output_device_name is not None:
-            output_device_info = _find_device_with_name(
-                output_device_infos, output_device_name
-            )
+            output_device_info = _find_device_with_name(output_device_infos, output_device_name)
         else:
             output_device_info = output_device_infos[
                 int(input(_get_device_prompt(output_device_infos)))
             ]
 
     if logger is not None:
-        logger.info("Using microphone input device: %s", input_device_info["name"])
+        logger.info(f"Using microphone input device: {input_device_info['name']}")
 
-    microphone_input = microphone_class(
-        input_device_info, sampling_rate=mic_sampling_rate
-    )
+    microphone_input = microphone_class(input_device_info, sampling_rate=mic_sampling_rate)
     if logger is not None:
-        logger.info("Using speaker output device: %s", output_device_info["name"])
+        logger.info(f"Using speaker output device: {output_device_info['name']}")
 
-    speaker_output = speaker_class(
-        output_device_info, sampling_rate=speaker_sampling_rate
-    )
+    speaker_output = speaker_class(output_device_info, sampling_rate=speaker_sampling_rate)
     return microphone_input, speaker_output  # type: ignore
 
 
 def _find_device_with_name(device_infos: List[dict], name: str) -> dict:
     try:
-        return next(
-            filter(lambda device_info: name == device_info["name"], device_infos)
-        )
+        return next(filter(lambda device_info: name == device_info["name"], device_infos))
     except StopIteration:
         raise Exception("Could not find device with name: {}".format(name))
diff --git a/vocode/logging.py b/vocode/logging.py
new file mode 100644
index 0000000000..b33ba4e311
--- /dev/null
+++ b/vocode/logging.py
@@ -0,0 +1,185 @@
+import json
+import logging
+import sys
+
+from loguru import logger
+from loguru._handler import Handler
+
+from vocode import get_serialized_ctx_wrappers
+
+
+def _patched_serialize_record(text: str, record: dict) -> str:
+    """
+    This function takes a text string and a record dictionary as input and returns a serialized
+    string representation of the record.
+
+    The record dictionary is expected to contain various keys related to logging information such as
+    'level', 'time', 'elapsed', 'exception', 'extra', 'file', 'function', 'line', 'message',
+    'module', 'name', 'process', 'thread'. Each key's value is processed and added to a new
+    dictionary 'serializable'.
+
+    If the 'exception' key in the record is not None, it is further processed to extract 'type',
+    'value', and 'traceback' information.
+
+    The 'serializable' dictionary is then converted to a JSON string using json.dumps. The 'default'
+    parameter is set to str to convert any non-serializable types to string. The 'ensure_ascii'
+    parameter is set to False so that the function can output non-ASCII characters as they are.
+
+    The function finally returns the serialized string with a newline character appended at the end.
+
+    Args:
+        text (str): A text string. record (dict): A dictionary containing logging information.
+
+    Returns:
+        str: A serialized string representation of the record dictionary.
+    """
+    exception = record["exception"]
+
+    if exception is not None:
+        exception = {
+            "type": None if exception.type is None else exception.type.__name__,
+            "value": exception.value,
+            "traceback": bool(exception.traceback),
+        }
+
+    serializable = {
+        "severity": record["level"].name,
+        "text": text,
+        "timestamp": record["time"].timestamp(),
+        "elapsed": {
+            "repr": record["elapsed"],
+            "seconds": record["elapsed"].total_seconds(),
+        },
+        "exception": exception,
+        "ctx": get_serialized_ctx_wrappers(),
+        "extra": record["extra"],
+        "file": {"name": record["file"].name, "path": record["file"].path},
+        "function": record["function"],
+        "level": {
+            "icon": record["level"].icon,
+            "name": record["level"].name,
+            "no": record["level"].no,
+        },
+        "line": record["line"],
+        "message": record["message"],
+        "module": record["module"],
+        "name": record["name"],
+        "process": {"id": record["process"].id, "name": record["process"].name},
+        "thread": {"id": record["thread"].id, "name": record["thread"].name},
+        "time": {"repr": record["time"], "timestamp": record["time"].timestamp()},
+    }
+
+    return json.dumps(serializable, default=str, ensure_ascii=False) + "\n"
+
+
+Handler._serialize_record = staticmethod(_patched_serialize_record)  # type: ignore
+
+
+class InterceptHandler(logging.Handler):
+    """
+    Default handler from examples in loguru documentation.
+
+    This handler intercepts all log requests and
+    passes them to loguru.
+
+    For more info see:
+    https://loguru.readthedocs.io/en/stable/overview.html#entirely-compatible-with-standard-logging
+    """
+
+    def emit(self, record: logging.LogRecord) -> None:  # pragma: no cover
+        """
+        Propagates logs to loguru.
+
+        :param record: record to log.
+        """
+        try:
+            level: str | int = logger.level(record.levelname).name
+        except ValueError:
+            level = record.levelno
+
+        # Find caller from where originated the logged message
+        frame, depth = logging.currentframe(), 2
+        while (
+            frame.f_code.co_filename == logging.__file__
+            or frame.f_code.co_filename == __file__
+            or "sentry_sdk/integrations" in frame.f_code.co_filename
+        ):
+            frame = frame.f_back  # type: ignore
+            depth += 1
+        logger.opt(depth=depth, exception=record.exc_info).log(
+            level,
+            record.getMessage(),
+        )
+
+
+def configure_intercepter() -> None:
+    """
+    Configures the logging system to intercept log messages.
+
+    This function sets up an InterceptHandler instance as the main handler for the root logger.
+    It sets the logging level to INFO, meaning that all messages with severity INFO and above will be handled.
+
+    It then iterates over all the loggers in the logging system. If a logger's name starts with "uvicorn.",
+    it removes all handlers from that logger. This is done to prevent uvicorn's default logging configuration
+    from interfering with our custom configuration.
+
+    Finally, it sets the InterceptHandler instance as the sole handler for the "uvicorn" and "uvicorn.access" loggers.
+    This ensures that all log messages from uvicorn and its access logger are intercepted by our custom handler.
+    """
+    intercept_handler = InterceptHandler()
+    logging.basicConfig(handlers=[intercept_handler], level=logging.INFO)
+
+    for logger_name in logging.root.manager.loggerDict:
+        if logger_name.startswith("uvicorn."):
+            logging.getLogger(logger_name).handlers = []
+
+    logging.getLogger("uvicorn").handlers = [intercept_handler]
+    logging.getLogger("uvicorn.access").handlers = [intercept_handler]
+
+
+def configure_pretty_logging() -> None:
+    """
+    Configures the logging system to output pretty logs.
+
+    This function enables the 'vocode' logger, sets up an intercept handler to
+    capture logs from the standard logging module, removes all existing handlers
+    from the 'loguru' logger, and adds a new handler that outputs to stdout with
+    pretty formatting (colored, not serialized, no backtrace or diagnosis information).
+    """
+    logger.enable("vocode")
+
+    configure_intercepter()
+
+    logger.remove()
+    logger.add(
+        sys.stdout,
+        level=logging.DEBUG,
+        backtrace=False,
+        diagnose=False,
+        serialize=False,
+        colorize=True,
+    )
+
+
+def configure_json_logging() -> None:
+    """
+    Configures the logging system to output logs in JSON format.
+
+    This function enables the 'vocode' logger, sets up an intercept handler to
+    capture logs from the standard logging module, removes all existing handlers
+    from the 'loguru' logger, and adds a new handler that outputs to stdout with
+    JSON formatting (serialized, no backtrace or diagnosis information).
+    """
+    logger.enable("vocode")
+
+    configure_intercepter()
+
+    logger.remove()
+    logger.add(
+        sys.stdout,
+        format="{message}",
+        level=logging.DEBUG,
+        backtrace=False,
+        diagnose=False,
+        serialize=True,
+    )
diff --git a/vocode/meta.py b/vocode/meta.py
new file mode 100644
index 0000000000..f3f455b547
--- /dev/null
+++ b/vocode/meta.py
@@ -0,0 +1,15 @@
+from loguru import logger
+
+
+def ensure_punkt_installed():
+    try:
+        from nltk.data import find
+
+        find("tokenizers/punkt")
+    except LookupError:
+        from nltk import download
+
+        # If not installed, download 'punkt'
+        logger.info("Downloading 'punkt' tokenizer...")
+        download("punkt")
+        logger.info("'punkt' tokenizer downloaded successfully.")
diff --git a/vocode/streaming/action/abstract_factory.py b/vocode/streaming/action/abstract_factory.py
new file mode 100644
index 0000000000..7e7ace050e
--- /dev/null
+++ b/vocode/streaming/action/abstract_factory.py
@@ -0,0 +1,10 @@
+from abc import ABC, abstractmethod
+
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.models.actions import ActionConfig
+
+
+class AbstractActionFactory(ABC):
+    @abstractmethod
+    def create_action(self, action_config: ActionConfig) -> BaseAction:
+        pass
diff --git a/vocode/streaming/action/utils.py b/vocode/streaming/action/action_utils.py
similarity index 100%
rename from vocode/streaming/action/utils.py
rename to vocode/streaming/action/action_utils.py
diff --git a/vocode/streaming/action/base_action.py b/vocode/streaming/action/base_action.py
index 2ba8012275..e1e07f028b 100644
--- a/vocode/streaming/action/base_action.py
+++ b/vocode/streaming/action/base_action.py
@@ -1,30 +1,34 @@
 import asyncio
-from typing import Any, Dict, Generic, Optional, Type, TypeVar, TYPE_CHECKING
-from vocode.streaming.action.utils import exclude_keys_recursive
+from typing import TYPE_CHECKING, Any, Dict, Generic, List, Literal, Optional, Type, TypeVar
+
+import jsonschema
+from jsonschema import Draft202012Validator as SchemaValidator
+
+from vocode.streaming.action.action_utils import exclude_keys_recursive
 from vocode.streaming.models.actions import (
     ActionConfig,
     ActionInput,
     ActionOutput,
-    ActionType,
     ParametersType,
     ResponseType,
 )
 
 if TYPE_CHECKING:
-    from vocode.streaming.utils.state_manager import ConversationStateManager
+    from vocode.streaming.utils.state_manager import AbstractConversationStateManager
 
 ActionConfigType = TypeVar("ActionConfigType", bound=ActionConfig)
 
 
-class BaseAction(Generic[ActionConfigType, ParametersType, ResponseType]):
+class BaseAction(Generic[ActionConfigType, ParametersType, ResponseType]):  # type: ignore
     description: str = ""
 
     def __init__(
         self,
         action_config: ActionConfigType,
-        should_respond: bool = False,
+        should_respond: Literal["always", "sometimes", "never"] = "never",
         quiet: bool = False,
         is_interruptible: bool = True,
+        **kwargs,
     ):
         self.action_config = action_config
         self.should_respond = should_respond
@@ -32,13 +36,11 @@ def __init__(
         self.is_interruptible = is_interruptible
 
     def attach_conversation_state_manager(
-        self, conversation_state_manager: "ConversationStateManager"
+        self, conversation_state_manager: "AbstractConversationStateManager"
     ):
         self.conversation_state_manager = conversation_state_manager
 
-    async def run(
-        self, action_input: ActionInput[ParametersType]
-    ) -> ActionOutput[ResponseType]:
+    async def run(self, action_input: ActionInput[ParametersType]) -> ActionOutput[ResponseType]:
         raise NotImplementedError
 
     @property
@@ -49,23 +51,35 @@ def parameters_type(self) -> Type[ParametersType]:
     def response_type(self) -> Type[ResponseType]:
         raise NotImplementedError
 
+    def get_parameters_schema(self) -> Dict[str, Any]:
+        return self.parameters_type.schema()
+
+    def get_function_name(self) -> str:
+        return self.action_config.type
+
     def get_openai_function(self):
-        parameters_schema = self.parameters_type.schema()
+        parameters_schema = self.get_parameters_schema()
         parameters_schema = exclude_keys_recursive(parameters_schema, {"title"})
-        if self.should_respond:
-            parameters_schema["properties"][
-                "user_message"
-            ] = self._user_message_param_info()
-            required = parameters_schema.get("required", [])
-            required.append("user_message")
-            parameters_schema["required"] = required
+        if self.should_respond != "never":
+            parameters_schema["properties"]["user_message"] = self._user_message_param_info()
+            if self.should_respond == "always":
+                required: List[str] = parameters_schema.get("required", [])
+                required.append("user_message")
+                parameters_schema["required"] = required
+        try:
+            SchemaValidator.check_schema(parameters_schema)
+        except jsonschema.exceptions.SchemaError as e:
+            raise ValueError(f"Invalid parameters schema for {self.action_config.type}: {e}") from e
 
         return {
-            "name": self.action_config.type,
+            "name": self.get_function_name(),
             "description": self.description,
             "parameters": parameters_schema,
         }
 
+    def create_action_params(self, params: Dict[str, Any]) -> ParametersType:
+        return self.parameters_type(**params)
+
     def create_action_input(
         self,
         conversation_id: str,
@@ -77,14 +91,14 @@ def create_action_input(
         return ActionInput(
             action_config=self.action_config,
             conversation_id=conversation_id,
-            params=self.parameters_type(**params),
+            params=self.create_action_params(params),
             user_message_tracker=user_message_tracker,
         )
 
     def _user_message_param_info(self):
         return {
             "type": "string",
-            "description": """A message to reply to the user with BEFORE we make the function call. 
+            "description": """A message to reply to the user with BEFORE we make the function call.
                     Essentially a live response informing them that the function is about to happen.
                     Eg Let me check the weather in San Francisco CA for you """,
         }
diff --git a/vocode/streaming/action/default_factory.py b/vocode/streaming/action/default_factory.py
new file mode 100644
index 0000000000..227ed56c42
--- /dev/null
+++ b/vocode/streaming/action/default_factory.py
@@ -0,0 +1,47 @@
+from typing import Dict, Sequence, Type
+
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.action.dtmf import TwilioDTMF, VonageDTMF
+from vocode.streaming.action.end_conversation import EndConversation
+from vocode.streaming.action.execute_external_action import ExecuteExternalAction
+from vocode.streaming.action.phone_call_action import (
+    TwilioPhoneConversationAction,
+    VonagePhoneConversationAction,
+)
+from vocode.streaming.action.record_email import RecordEmail
+from vocode.streaming.action.transfer_call import TwilioTransferCall, VonageTransferCall
+from vocode.streaming.action.wait import Wait
+from vocode.streaming.models.actions import ActionConfig, ActionType
+
+CONVERSATION_ACTIONS: Dict[ActionType, Type[BaseAction]] = {
+    ActionType.END_CONVERSATION: EndConversation,
+    ActionType.RECORD_EMAIL: RecordEmail,
+    ActionType.WAIT: Wait,
+    ActionType.EXECUTE_EXTERNAL_ACTION: ExecuteExternalAction,
+}
+
+VONAGE_ACTIONS: Dict[ActionType, Type[VonagePhoneConversationAction]] = {
+    ActionType.TRANSFER_CALL: VonageTransferCall,
+    ActionType.DTMF: VonageDTMF,
+}
+
+TWILIO_ACTIONS: Dict[ActionType, Type[TwilioPhoneConversationAction]] = {
+    ActionType.TRANSFER_CALL: TwilioTransferCall,
+    ActionType.DTMF: TwilioDTMF,
+}
+
+
+class DefaultActionFactory(AbstractActionFactory):
+    def __init__(self, actions: Sequence[ActionConfig] | dict = {}):
+
+        self.action_configs_dict = {action.type: action for action in actions}
+        self.actions = CONVERSATION_ACTIONS
+
+    def create_action(self, action_config: ActionConfig):
+        if action_config.type not in self.action_configs_dict:
+            raise Exception("Action type not supported by Agent config.")
+
+        action_class = self.actions[action_config.type]
+
+        return action_class(action_config)
diff --git a/vocode/streaming/action/dtmf.py b/vocode/streaming/action/dtmf.py
new file mode 100644
index 0000000000..33c3a23db3
--- /dev/null
+++ b/vocode/streaming/action/dtmf.py
@@ -0,0 +1,104 @@
+from typing import List, Optional, Type
+
+from loguru import logger
+from pydantic.v1 import BaseModel, Field
+
+from vocode.streaming.action.phone_call_action import (
+    TwilioPhoneConversationAction,
+    VonagePhoneConversationAction,
+)
+from vocode.streaming.models.actions import ActionConfig as VocodeActionConfig
+from vocode.streaming.models.actions import ActionInput, ActionOutput
+from vocode.streaming.utils.dtmf_utils import DTMFToneGenerator, KeypadEntry
+from vocode.streaming.utils.state_manager import (
+    TwilioPhoneConversationStateManager,
+    VonagePhoneConversationStateManager,
+)
+
+
+class DTMFParameters(BaseModel):
+    buttons: str = Field(..., description="The buttons to press.")
+
+
+class DTMFResponse(BaseModel):
+    success: bool
+    message: Optional[str] = None
+
+
+class DTMFVocodeActionConfig(VocodeActionConfig, type="action_dtmf"):  # type: ignore
+    def action_attempt_to_string(self, input: ActionInput) -> str:
+        assert isinstance(input.params, DTMFParameters)
+        return "Attempting to press numbers: " f"{list(input.params.buttons)}"
+
+    def action_result_to_string(self, input: ActionInput, output: ActionOutput) -> str:
+        assert isinstance(input.params, DTMFParameters)
+        assert isinstance(output.response, DTMFResponse)
+        if output.response.success:
+            return f"Pressed numbers {list(input.params.buttons)} successfully"
+        else:
+            return (
+                f"Failed to press numbers {list(input.params.buttons)}: {output.response.message}"
+            )
+
+
+FUNCTION_DESCRIPTION = "Presses a string numbers using DTMF tones."
+
+
+class VonageDTMF(
+    VonagePhoneConversationAction[DTMFVocodeActionConfig, DTMFParameters, DTMFResponse]
+):
+    description: str = FUNCTION_DESCRIPTION
+    parameters_type: Type[DTMFParameters] = DTMFParameters
+    response_type: Type[DTMFResponse] = DTMFResponse
+    conversation_state_manager: VonagePhoneConversationStateManager
+
+    def __init__(self, action_config: DTMFVocodeActionConfig):
+        super().__init__(action_config, quiet=True)
+
+    async def run(self, action_input: ActionInput[DTMFParameters]) -> ActionOutput[DTMFResponse]:
+        buttons = action_input.params.buttons
+        vonage_client = self.conversation_state_manager.create_vonage_client()
+        await vonage_client.send_dtmf(
+            vonage_uuid=self.get_vonage_uuid(action_input), digits=buttons
+        )
+
+        return ActionOutput(
+            action_type=action_input.action_config.type,
+            response=DTMFResponse(success=True),
+        )
+
+
+class TwilioDTMF(
+    TwilioPhoneConversationAction[DTMFVocodeActionConfig, DTMFParameters, DTMFResponse]
+):
+    description: str = FUNCTION_DESCRIPTION
+    parameters_type: Type[DTMFParameters] = DTMFParameters
+    response_type: Type[DTMFResponse] = DTMFResponse
+    conversation_state_manager: TwilioPhoneConversationStateManager
+
+    def __init__(self, action_config: DTMFVocodeActionConfig):
+        super().__init__(
+            action_config,
+            quiet=True,
+        )
+
+    async def run(self, action_input: ActionInput[DTMFParameters]) -> ActionOutput[DTMFResponse]:
+        buttons = action_input.params.buttons
+        keypad_entries: List[KeypadEntry]
+        try:
+            keypad_entries = [KeypadEntry(button) for button in buttons]
+        except ValueError:
+            logger.warning(f"Invalid DTMF buttons: {buttons}")
+            return ActionOutput(
+                action_type=action_input.action_config.type,
+                response=DTMFResponse(
+                    success=False, message="Invalid DTMF buttons, can only accept 0-9"
+                ),
+            )
+        self.conversation_state_manager._twilio_phone_conversation.output_device.send_dtmf_tones(
+            keypad_entries=keypad_entries
+        )
+        return ActionOutput(
+            action_type=action_input.action_config.type,
+            response=DTMFResponse(success=True),
+        )
diff --git a/vocode/streaming/action/end_conversation.py b/vocode/streaming/action/end_conversation.py
new file mode 100644
index 0000000000..7175ad8461
--- /dev/null
+++ b/vocode/streaming/action/end_conversation.py
@@ -0,0 +1,89 @@
+from typing import Type
+
+from loguru import logger
+from pydantic.v1 import BaseModel
+
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.models.actions import ActionConfig as VocodeActionConfig
+from vocode.streaming.models.actions import ActionInput, ActionOutput
+
+_END_CONVERSATION_ACTION_DESCRIPTION = """
+Ends the current conversation; use this when we should hang up. Use this
+when: someone has indicated they expect the call to finish, and there are no further objectives
+to complete. If the user says Goodbye or a different farewell phrase, this indicates that we should
+hang up. Example farewell phrases: goodbye, so long, see you, later, take care, etc. People will
+sometimes say a farewell phrase at the end of a longer sentence, so make sure to hang up then
+as well. Example: \"This sounds great! Talk to you soon.\""""
+
+
+class EndConversationParameters(BaseModel):
+    pass
+
+
+class EndConversationResponse(BaseModel):
+    success: bool
+
+
+class EndConversationVocodeActionConfig(
+    VocodeActionConfig, type="action_end_conversation"  # type: ignore
+):
+    def action_attempt_to_string(self, input: ActionInput) -> str:
+        assert isinstance(input.params, EndConversationParameters)
+        return "Attempting to end conversation"
+
+    def action_result_to_string(self, input: ActionInput, output: ActionOutput) -> str:
+        assert isinstance(output.response, EndConversationResponse)
+        if output.response.success:
+            action_description = "Successfully ended conversation"
+        else:
+            action_description = "Did not end call because user interrupted"
+        return action_description
+
+
+class EndConversation(
+    BaseAction[
+        EndConversationVocodeActionConfig,
+        EndConversationParameters,
+        EndConversationResponse,
+    ]
+):
+    description: str = _END_CONVERSATION_ACTION_DESCRIPTION
+    parameters_type: Type[EndConversationParameters] = EndConversationParameters
+    response_type: Type[EndConversationResponse] = EndConversationResponse
+
+    def __init__(
+        self,
+        action_config: EndConversationVocodeActionConfig,
+    ):
+        super().__init__(
+            action_config,
+            quiet=True,
+            should_respond="sometimes",
+            is_interruptible=False,
+        )
+
+    async def _end_of_run_hook(self) -> None:
+        """This method is called at the end of the run method. It is optional but intended to be
+        overridden if needed."""
+        pass
+
+    async def run(
+        self, action_input: ActionInput[EndConversationParameters]
+    ) -> ActionOutput[EndConversationResponse]:
+        if action_input.user_message_tracker is not None:
+            await action_input.user_message_tracker.wait()
+
+        if self.conversation_state_manager.transcript.was_last_message_interrupted():
+            logger.info("Last bot message was interrupted")
+            return ActionOutput(
+                action_type=action_input.action_config.type,
+                response=EndConversationResponse(success=False),
+            )
+
+        await self.conversation_state_manager.terminate_conversation()
+
+        await self._end_of_run_hook()
+        return ActionOutput(
+            action_type=action_input.action_config.type,
+            response=EndConversationResponse(success=True),
+        )
diff --git a/vocode/streaming/action/execute_external_action.py b/vocode/streaming/action/execute_external_action.py
new file mode 100644
index 0000000000..c689b206d6
--- /dev/null
+++ b/vocode/streaming/action/execute_external_action.py
@@ -0,0 +1,110 @@
+import json
+from typing import Any, Dict, Optional, Type
+
+from pydantic.v1 import BaseModel
+
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.action.external_actions_requester import (
+    ExternalActionResponse,
+    ExternalActionsRequester,
+)
+from vocode.streaming.models.actions import ActionConfig as VocodeActionConfig
+from vocode.streaming.models.actions import ActionInput, ActionOutput, ExternalActionProcessingMode
+from vocode.streaming.models.message import BaseMessage
+
+
+class ExecuteExternalActionVocodeActionConfig(
+    VocodeActionConfig, type="action_external"  # type: ignore
+):
+    processing_mode: ExternalActionProcessingMode
+    name: str
+    description: str
+    url: str
+    input_schema: str
+    speak_on_send: bool
+    speak_on_receive: bool
+    signature_secret: str
+
+
+class ExecuteExternalActionParameters(BaseModel):
+    payload: Dict[str, Any]
+
+
+class ExecuteExternalActionResponse(BaseModel):
+    success: bool
+    result: Optional[dict]
+
+
+class ExecuteExternalAction(
+    BaseAction[
+        ExecuteExternalActionVocodeActionConfig,
+        ExecuteExternalActionParameters,
+        ExecuteExternalActionResponse,
+    ]
+):
+    parameters_type: Type[ExecuteExternalActionParameters] = ExecuteExternalActionParameters
+    response_type: Type[ExecuteExternalActionResponse] = ExecuteExternalActionResponse
+
+    def __init__(
+        self,
+        action_config: ExecuteExternalActionVocodeActionConfig,
+    ):
+        self.description = action_config.description
+        super().__init__(
+            action_config,
+            quiet=not action_config.speak_on_receive,
+            should_respond="always" if action_config.speak_on_send else "never",
+            is_interruptible=False,
+        )
+        self.external_actions_requester = ExternalActionsRequester(url=action_config.url)
+
+    def _user_message_param_info(self):
+        return {
+            "type": "string",
+            "description": (
+                "A message to reply to the user with BEFORE we make the function call."
+                "\nEssentially a live response informing them that the function is "
+                "about to happen."
+            ),
+        }
+
+    def create_action_params(self, params: Dict[str, Any]) -> ExecuteExternalActionParameters:
+        return ExecuteExternalActionParameters(payload=params)
+
+    def get_function_name(self) -> str:
+        return self.action_config.name
+
+    def get_parameters_schema(self) -> Dict[str, Any]:
+        return json.loads(self.action_config.input_schema)
+
+    async def send_external_action_request(
+        self, action_input: ActionInput[ExecuteExternalActionParameters]
+    ) -> ExternalActionResponse:
+        return await self.external_actions_requester.send_request(
+            payload=action_input.params.payload,
+            signature_secret=self.action_config.signature_secret,
+        )
+
+    async def run(
+        self, action_input: ActionInput[ExecuteExternalActionParameters]
+    ) -> ActionOutput[ExecuteExternalActionResponse]:
+        # TODO: this interruption handling needs to be refactored / DRYd
+        if self.should_respond and action_input.user_message_tracker is not None:
+            await action_input.user_message_tracker.wait()
+
+        self.conversation_state_manager.mute_agent()
+        response = await self.send_external_action_request(action_input)
+        self.conversation_state_manager.unmute_agent()
+
+        # TODO (EA): pass specific context based on error
+        return ActionOutput(
+            action_type=action_input.action_config.type,
+            response=ExecuteExternalActionResponse(
+                result=response.result if response else None, success=response.success
+            ),
+            canned_response=(
+                BaseMessage(text=response.agent_message)
+                if response and response.agent_message
+                else None
+            ),
+        )
diff --git a/vocode/streaming/action/external_actions_requester.py b/vocode/streaming/action/external_actions_requester.py
new file mode 100644
index 0000000000..76aecd9e5a
--- /dev/null
+++ b/vocode/streaming/action/external_actions_requester.py
@@ -0,0 +1,136 @@
+import base64
+import hashlib
+import hmac
+import json
+from typing import Any, Dict, Optional
+
+import httpx
+from loguru import logger
+from pydantic.v1 import BaseModel
+
+
+class ExternalActionValueError(ValueError):
+    pass
+
+
+class ExternalActionsErrorResponses:
+    client_error = (
+        "There was an error with the information provided. "
+        "Please ask for clarification and try again."
+    )
+    server_error = (
+        "There was a server error with status "
+        "{status}: {text}. Please politely tell the user to try again later."
+    )
+    input_error = (
+        "There was an error with the information received from the service. "
+        "Please politely tell the user to try again later."
+        "\nThe error was {error}"
+    )
+    unauthorized = (
+        "There was an error with the authentication for the service. "
+        "Please politely tell the user to try again later."
+    )
+    forbidden = (
+        "There was an error with the authentication for the service. "
+        "Please politely tell the user to try again later."
+    )
+
+
+class ExternalActionResponse(BaseModel):
+    result: dict
+    success: bool
+    agent_message: Optional[str] = None
+
+
+class ExternalActionsRequester:
+    def __init__(self, url: str) -> None:
+        self.url = url
+
+    async def send_request(
+        self,
+        payload: Dict[str, Any],
+        signature_secret: str,
+        additional_payload_values: Dict[str, Any] = {},
+        additional_headers: Dict[str, str] = {},
+        transport: httpx.AsyncHTTPTransport = httpx.AsyncHTTPTransport(retries=2),
+    ) -> ExternalActionResponse:
+        encoded_payload = json.dumps({"payload": payload} | additional_payload_values).encode(
+            "utf-8"
+        )
+
+        headers = {
+            "Accept": "application/json",
+            "Content-Type": "application/json",
+            "x-vocode-signature": self._encode_payload(encoded_payload, signature_secret),
+            **additional_headers,
+        }
+
+        async with httpx.AsyncClient(
+            headers=headers,
+            transport=transport,
+            timeout=10,
+        ) as client:
+            try:
+                response = await client.post(
+                    self.url,
+                    content=encoded_payload,
+                )
+                response.raise_for_status()
+                data = response.json()
+                return self._validate_response(data)
+            except httpx.HTTPStatusError as e:
+                logger.error(f"[External Actions] Request failed: {e}")
+                if e.response.status_code == 401:
+                    return ExternalActionResponse(
+                        result={"info": ExternalActionsErrorResponses.unauthorized},
+                        success=False,
+                    )
+                elif e.response.status_code == 403:
+                    return ExternalActionResponse(
+                        result={"info": ExternalActionsErrorResponses.forbidden},
+                        success=False,
+                    )
+                if 400 <= e.response.status_code < 500:
+                    return ExternalActionResponse(
+                        result={"info": ExternalActionsErrorResponses.client_error},
+                        success=False,
+                    )
+                elif e.response.status_code >= 500:
+                    return ExternalActionResponse(
+                        result={
+                            "info": ExternalActionsErrorResponses.server_error.format(
+                                status=e.response.status_code, text=e.response.text
+                            )
+                        },
+                        success=False,
+                    )
+                else:
+                    raise e
+            except ExternalActionValueError as e:
+                return ExternalActionResponse(
+                    result={"info": ExternalActionsErrorResponses.input_error.format(error=str(e))},
+                    success=False,
+                )
+
+    def _encode_payload(self, payload: bytes, signature_secret: str) -> str:
+        signature_as_bytes = base64.b64decode(signature_secret)
+        digest = hmac.new(signature_as_bytes, payload, hashlib.sha256).digest()
+        return base64.b64encode(digest).decode()
+
+    def _validate_response(self, response: Dict[str, Any]) -> ExternalActionResponse:
+        if "result" not in response:
+            raise ExternalActionValueError("Invalid response format: missing 'result'")
+        if not isinstance(response["result"], dict):
+            raise ExternalActionValueError(
+                "Invalid response format: 'agent_message' must be a key value map"
+            )
+        if "agent_message" in response and not isinstance(response["agent_message"], str):
+            raise ExternalActionValueError(
+                "Invalid response format: 'agent_message' must be a string"
+            )
+        return ExternalActionResponse(
+            result=response["result"],
+            agent_message=response.get("agent_message"),
+            success=True,
+        )
diff --git a/vocode/streaming/action/factory.py b/vocode/streaming/action/factory.py
deleted file mode 100644
index c5398a32d4..0000000000
--- a/vocode/streaming/action/factory.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from vocode.streaming.action.base_action import BaseAction
-from vocode.streaming.action.nylas_send_email import (
-    NylasSendEmail,
-    NylasSendEmailActionConfig,
-)
-from vocode.streaming.models.actions import ActionConfig
-from vocode.streaming.action.transfer_call import TransferCall, TransferCallActionConfig
-
-
-class ActionFactory:
-    def create_action(self, action_config: ActionConfig) -> BaseAction:
-        if isinstance(action_config, NylasSendEmailActionConfig):
-            return NylasSendEmail(action_config, should_respond=True)
-        elif isinstance(action_config, TransferCallActionConfig):
-            return TransferCall(action_config)
-        else:
-            raise Exception("Invalid action type")
diff --git a/vocode/streaming/action/nylas_send_email.py b/vocode/streaming/action/nylas_send_email.py
deleted file mode 100644
index 08be384cfd..0000000000
--- a/vocode/streaming/action/nylas_send_email.py
+++ /dev/null
@@ -1,62 +0,0 @@
-from typing import Optional, Type
-from pydantic import BaseModel, Field
-import os
-from vocode.streaming.action.base_action import BaseAction
-from vocode.streaming.models.actions import (
-    ActionConfig,
-    ActionInput,
-    ActionOutput,
-    ActionType,
-)
-
-
-class NylasSendEmailActionConfig(ActionConfig, type=ActionType.NYLAS_SEND_EMAIL):
-    pass
-
-
-class NylasSendEmailParameters(BaseModel):
-    recipient_email: str = Field(..., description="The email address of the recipient.")
-    body: str = Field(..., description="The body of the email.")
-    subject: Optional[str] = Field(None, description="The subject of the email.")
-
-
-class NylasSendEmailResponse(BaseModel):
-    success: bool
-
-
-class NylasSendEmail(
-    BaseAction[
-        NylasSendEmailActionConfig, NylasSendEmailParameters, NylasSendEmailResponse
-    ]
-):
-    description: str = "Sends an email using Nylas API."
-    parameters_type: Type[NylasSendEmailParameters] = NylasSendEmailParameters
-    response_type: Type[NylasSendEmailResponse] = NylasSendEmailResponse
-
-    async def run(
-        self, action_input: ActionInput[NylasSendEmailParameters]
-    ) -> ActionOutput[NylasSendEmailResponse]:
-        from nylas import APIClient
-
-        # Initialize the Nylas client
-        nylas = APIClient(
-            client_id=os.getenv("NYLAS_CLIENT_ID"),
-            client_secret=os.getenv("NYLAS_CLIENT_SECRET"),
-            access_token=os.getenv("NYLAS_ACCESS_TOKEN"),
-        )
-
-        # Create the email draft
-        draft = nylas.drafts.create()
-        draft.body = action_input.params.body
-
-        email_subject = action_input.params.subject
-        draft.subject = email_subject if email_subject else "Email from Vocode"
-        draft.to = [{"email": action_input.params.recipient_email.strip()}]
-
-        # Send the email
-        draft.send()
-
-        return ActionOutput(
-            action_type=self.action_config.type,
-            response=NylasSendEmailResponse(success=True),
-        )
diff --git a/vocode/streaming/action/phone_call_action.py b/vocode/streaming/action/phone_call_action.py
index 3b502f8127..f780413fc3 100644
--- a/vocode/streaming/action/phone_call_action.py
+++ b/vocode/streaming/action/phone_call_action.py
@@ -1,27 +1,31 @@
 import asyncio
-from typing import Dict, Any, Optional
+from typing import Any, Dict, Optional
+
 from vocode.streaming.action.base_action import ActionConfigType, BaseAction
 from vocode.streaming.models.actions import (
     ActionInput,
-    ActionOutput,
     ParametersType,
     ResponseType,
-    TwilioPhoneCallActionInput,
-    VonagePhoneCallActionInput,
+    TwilioPhoneConversationActionInput,
+    VonagePhoneConversationActionInput,
+)
+from vocode.streaming.utils.state_manager import (
+    TwilioPhoneConversationStateManager,
+    VonagePhoneConversationStateManager,
 )
 
 
-class VonagePhoneCallAction(BaseAction[ActionConfigType, ParametersType, ResponseType]):
-    def create_phone_call_action_input(
+class VonagePhoneConversationAction(BaseAction[ActionConfigType, ParametersType, ResponseType]):
+    def create_phone_conversation_action_input(
         self,
         conversation_id: str,
         params: Dict[str, Any],
         vonage_uuid: str,
         user_message_tracker: Optional[asyncio.Event] = None,
-    ) -> VonagePhoneCallActionInput[ParametersType]:
+    ) -> VonagePhoneConversationActionInput[ParametersType]:
         if "user_message" in params:
             del params["user_message"]
-        return VonagePhoneCallActionInput(
+        return VonagePhoneConversationActionInput(
             action_config=self.action_config,
             conversation_id=conversation_id,
             params=self.parameters_type(**params),
@@ -30,21 +34,25 @@ def create_phone_call_action_input(
         )
 
     def get_vonage_uuid(self, action_input: ActionInput[ParametersType]) -> str:
-        assert isinstance(action_input, VonagePhoneCallActionInput)
+        assert isinstance(action_input, VonagePhoneConversationActionInput)
         return action_input.vonage_uuid
 
+    def attach_conversation_state_manager(self, conversation_state_manager: Any):
+        assert isinstance(conversation_state_manager, VonagePhoneConversationStateManager)
+        self.conversation_state_manager = conversation_state_manager
 
-class TwilioPhoneCallAction(BaseAction[ActionConfigType, ParametersType, ResponseType]):
-    def create_phone_call_action_input(
+
+class TwilioPhoneConversationAction(BaseAction[ActionConfigType, ParametersType, ResponseType]):
+    def create_phone_conversation_action_input(
         self,
         conversation_id: str,
         params: Dict[str, Any],
         twilio_sid: str,
         user_message_tracker: Optional[asyncio.Event] = None,
-    ) -> TwilioPhoneCallActionInput[ParametersType]:
+    ) -> TwilioPhoneConversationActionInput[ParametersType]:
         if "user_message" in params:
             del params["user_message"]
-        return TwilioPhoneCallActionInput(
+        return TwilioPhoneConversationActionInput(
             action_config=self.action_config,
             conversation_id=conversation_id,
             params=self.parameters_type(**params),
@@ -53,5 +61,9 @@ def create_phone_call_action_input(
         )
 
     def get_twilio_sid(self, action_input: ActionInput[ParametersType]) -> str:
-        assert isinstance(action_input, TwilioPhoneCallActionInput)
+        assert isinstance(action_input, TwilioPhoneConversationActionInput)
         return action_input.twilio_sid
+
+    def attach_conversation_state_manager(self, conversation_state_manager: Any):
+        assert isinstance(conversation_state_manager, TwilioPhoneConversationStateManager)
+        self.conversation_state_manager = conversation_state_manager
diff --git a/vocode/streaming/action/record_email.py b/vocode/streaming/action/record_email.py
new file mode 100644
index 0000000000..98619ef121
--- /dev/null
+++ b/vocode/streaming/action/record_email.py
@@ -0,0 +1,76 @@
+import re
+from typing import Optional, Type
+
+from pydantic.v1 import BaseModel, Field
+
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.models.actions import ActionConfig, ActionInput, ActionOutput
+
+EMAIL_REGEX = r"^(?!\.)(?!.*\.\.)[a-zA-Z0-9._%+-]+(?<!\.)@(?![.])[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$"
+
+
+class RecordEmailVocodeActionConfig(ActionConfig, type="action_record_email"):  # type: ignore
+    pass
+
+
+class RecordEmailParameters(BaseModel):
+    descriptor: str = Field("A human readable descriptor; eg 'The user's email.'")
+    raw_value: str = Field(
+        ...,
+        description="The raw value parsed from the transcript.",
+    )
+
+    formatted_value: str = Field(
+        ...,
+        description="The estimated FORMATTED value of the email.",
+    )
+
+
+class RecordEmailResponse(BaseModel):
+    success: bool
+    message: Optional[str] = None
+
+
+class RecordEmail(
+    BaseAction[
+        RecordEmailVocodeActionConfig,
+        RecordEmailParameters,
+        RecordEmailResponse,
+    ]
+):
+    description: str = """Attempts to record an email from the transcript.
+
+    You must format the value to match the field type, eg
+
+    kian at g mail dot com -> kian@gmail.com
+    ajay at vocode dot dev -> ajay@vocode.dev
+
+    This function will do extra validation.
+    """
+    parameters_type: Type[RecordEmailParameters] = RecordEmailParameters
+    response_type: Type[RecordEmailResponse] = RecordEmailResponse
+
+    def __init__(
+        self,
+        action_config: RecordEmailVocodeActionConfig,
+    ):
+        super().__init__(
+            action_config,
+            quiet=False,
+            should_respond="never",
+        )
+
+    def _validate_email(self, email: str) -> bool:
+        return bool(re.match(EMAIL_REGEX, email))
+
+    async def run(
+        self, action_input: ActionInput[RecordEmailParameters]
+    ) -> ActionOutput[RecordEmailResponse]:
+        value = action_input.params.formatted_value
+
+        success = self._validate_email(value)
+
+        return ActionOutput(
+            action_type=action_input.action_config.type,
+            response=RecordEmailResponse(success=success),
+        )
diff --git a/vocode/streaming/action/transfer_call.py b/vocode/streaming/action/transfer_call.py
index b2706c572a..2fe270024e 100644
--- a/vocode/streaming/action/transfer_call.py
+++ b/vocode/streaming/action/transfer_call.py
@@ -1,72 +1,203 @@
-import os
-import aiohttp
-
-from aiohttp import BasicAuth
-from typing import Type
-from pydantic import BaseModel, Field
-
-from vocode.streaming.action.phone_call_action import TwilioPhoneCallAction
-from vocode.streaming.models.actions import (
-    ActionConfig,
-    ActionInput,
-    ActionOutput,
-    ActionType,
-)
+from typing import Literal, Optional, Type, Union, get_args
 
+from loguru import logger
+from pydantic.v1 import BaseModel, Field
 
-class TransferCallActionConfig(ActionConfig, type=ActionType.TRANSFER_CALL):
-    to_phone: str
+from vocode.streaming.action.phone_call_action import (
+    TwilioPhoneConversationAction,
+    VonagePhoneConversationAction,
+)
+from vocode.streaming.models.actions import ActionConfig as VocodeActionConfig
+from vocode.streaming.models.actions import ActionInput, ActionOutput
+from vocode.streaming.utils.async_requester import AsyncRequestor
+from vocode.streaming.utils.phone_numbers import sanitize_phone_number
+from vocode.streaming.utils.state_manager import (
+    TwilioPhoneConversationStateManager,
+    VonagePhoneConversationStateManager,
+)
 
 
-class TransferCallParameters(BaseModel):
+class TransferCallEmptyParameters(BaseModel):
     pass
 
 
+class TransferCallRequiredParameters(BaseModel):
+    phone_number: str = Field(..., description="The phone number to transfer the call to")
+
+
+TransferCallParameters = Union[TransferCallEmptyParameters, TransferCallRequiredParameters]
+
+
 class TransferCallResponse(BaseModel):
-    status: str = Field("success", description="status of the transfer")
+    success: bool
+
+
+class TransferCallVocodeActionConfig(VocodeActionConfig, type="action_transfer_call"):  # type: ignore
+    phone_number: Optional[str] = Field(
+        None, description="The phone number to transfer the call to"
+    )
 
+    def get_phone_number(self, input: ActionInput) -> str:
+        if isinstance(input.params, TransferCallRequiredParameters):
+            return input.params.phone_number
+        elif isinstance(input.params, TransferCallEmptyParameters):
+            assert self.phone_number, "phone number must be set"
+            return self.phone_number
+        else:
+            raise TypeError("Invalid input params type")
 
-class TransferCall(
-    TwilioPhoneCallAction[
-        TransferCallActionConfig, TransferCallParameters, TransferCallResponse
+    def action_attempt_to_string(self, input: ActionInput) -> str:
+        assert isinstance(input.params, get_args(TransferCallParameters))
+        return f"Attempting to transfer call to {self.phone_number}"
+
+    def action_result_to_string(self, input: ActionInput, output: ActionOutput) -> str:
+        assert isinstance(output.response, TransferCallResponse)
+        if output.response.success:
+            action_description = "Successfully transferred call"
+        else:
+            action_description = "Did not transfer call because user interrupted"
+        return action_description
+
+
+FUNCTION_DESCRIPTION = "Transfers the call to a new number. This is never used while on hold."
+QUIET = True
+IS_INTERRUPTIBLE = True
+SHOULD_RESPOND: Literal["always"] = "always"
+
+
+class TwilioTransferCall(
+    TwilioPhoneConversationAction[
+        TransferCallVocodeActionConfig, TransferCallParameters, TransferCallResponse
     ]
 ):
-    description: str = "transfers the call. use when you need to connect the active call to another phone line."
-    parameters_type: Type[TransferCallParameters] = TransferCallParameters
+    description: str = FUNCTION_DESCRIPTION
     response_type: Type[TransferCallResponse] = TransferCallResponse
+    conversation_state_manager: TwilioPhoneConversationStateManager
+
+    @property
+    def parameters_type(self) -> Type[TransferCallParameters]:
+        if self.action_config.phone_number:
+            return TransferCallEmptyParameters
+        else:
+            return TransferCallRequiredParameters
+
+    def __init__(
+        self,
+        action_config: TransferCallVocodeActionConfig,
+    ):
+        super().__init__(
+            action_config,
+            quiet=QUIET,
+            is_interruptible=False,
+            should_respond=SHOULD_RESPOND,
+        )
 
-    async def transfer_call(self, twilio_call_sid, to_phone):
-        twilio_account_sid = os.environ["TWILIO_ACCOUNT_SID"]
-        twilio_auth_token = os.environ["TWILIO_AUTH_TOKEN"]
+    async def transfer_call(self, twilio_call_sid: str, to_phone: str):
+        twilio_client = self.conversation_state_manager.create_twilio_client()
 
-        url = "https://api.twilio.com/2010-04-01/Accounts/{twilio_account_sid}/Calls/{twilio_auth_token}.json".format(
-            twilio_account_sid=twilio_account_sid, twilio_auth_token=twilio_call_sid
+        url = "https://api.twilio.com/2010-04-01/Accounts/{twilio_account_sid}/Calls/{twilio_call_sid}.json".format(
+            twilio_account_sid=twilio_client.get_telephony_config().account_sid,
+            twilio_call_sid=twilio_call_sid,
         )
 
-        twiml_data = "<Response><Dial>{to_phone}</Dial></Response>".format(
-            to_phone=to_phone
-        )
+        twiml_data = "<Response><Dial>{to_phone}</Dial></Response>".format(to_phone=to_phone)
 
         payload = {"Twiml": twiml_data}
 
-        auth = BasicAuth(twilio_account_sid, twilio_auth_token)
-
-        async with aiohttp.ClientSession(auth=auth) as session:
-            async with session.post(url, data=payload) as response:
-                if response.status != 200:
-                    print(await response.text())
-                    raise Exception("failed to update call")
-                else:
-                    return await response.json()
+        async with AsyncRequestor().get_session().post(
+            url, data=payload, auth=twilio_client.auth
+        ) as response:
+            if response.status != 200:
+                logger.error(f"Failed to transfer call: {response.status} {response.reason}")
+                raise Exception("failed to update call")
+            else:
+                return await response.json()
 
     async def run(
         self, action_input: ActionInput[TransferCallParameters]
     ) -> ActionOutput[TransferCallResponse]:
         twilio_call_sid = self.get_twilio_sid(action_input)
 
-        await self.transfer_call(twilio_call_sid, self.action_config.to_phone)
+        phone_number = self.action_config.get_phone_number(action_input)
+        sanitized_phone_number = sanitize_phone_number(phone_number)
+
+        if action_input.user_message_tracker is not None:
+            await action_input.user_message_tracker.wait()
+
+        logger.info("Finished waiting for user message tracker, now attempting to transfer call")
+
+        if self.conversation_state_manager.transcript.was_last_message_interrupted():
+            logger.info("Last bot message was interrupted, not transferring call")
+            return ActionOutput(
+                action_type=action_input.action_config.type,
+                response=TransferCallResponse(success=False),
+            )
+
+        await self.transfer_call(twilio_call_sid, sanitized_phone_number)
+
+        return ActionOutput(
+            action_type=action_input.action_config.type,
+            response=TransferCallResponse(success=True),
+        )
+
+
+class VonageTransferCall(
+    VonagePhoneConversationAction[
+        TransferCallVocodeActionConfig, TransferCallParameters, TransferCallResponse
+    ]
+):
+    description: str = FUNCTION_DESCRIPTION
+    response_type: Type[TransferCallResponse] = TransferCallResponse
+    conversation_state_manager: VonagePhoneConversationStateManager
+
+    @property
+    def parameters_type(self) -> Type[TransferCallParameters]:
+        if self.action_config.phone_number:
+            return TransferCallEmptyParameters
+        else:
+            return TransferCallRequiredParameters
+
+    def __init__(self, action_config: TransferCallVocodeActionConfig):
+        super().__init__(
+            action_config,
+            quiet=QUIET,
+            is_interruptible=IS_INTERRUPTIBLE,
+            should_respond=SHOULD_RESPOND,
+        )
+
+    async def run(
+        self, action_input: ActionInput[TransferCallParameters]
+    ) -> ActionOutput[TransferCallResponse]:
+        if action_input.user_message_tracker is not None:
+            await action_input.user_message_tracker.wait()
+        self.conversation_state_manager.mute_agent()
+
+        phone_number = self.action_config.get_phone_number(action_input)
+        sanitized_phone_number = sanitize_phone_number(phone_number)
+
+        if self.conversation_state_manager.get_direction() == "outbound":
+            agent_phone_number = self.conversation_state_manager.get_from_phone()
+        else:
+            agent_phone_number = self.conversation_state_manager.get_to_phone()
+
+        await self.conversation_state_manager.create_vonage_client().update_call(
+            vonage_uuid=self.get_vonage_uuid(action_input),
+            new_ncco=[
+                {
+                    "action": "connect",
+                    "timeout": "45",
+                    "from": agent_phone_number,
+                    "endpoint": [
+                        {
+                            "type": "phone",
+                            "number": sanitized_phone_number,
+                        }
+                    ],
+                }
+            ],
+        )
 
         return ActionOutput(
             action_type=action_input.action_config.type,
-            response=TransferCallResponse(status="success"),
+            response=TransferCallResponse(success=True),
         )
diff --git a/vocode/streaming/action/wait.py b/vocode/streaming/action/wait.py
new file mode 100644
index 0000000000..a70c6dbfa7
--- /dev/null
+++ b/vocode/streaming/action/wait.py
@@ -0,0 +1,52 @@
+from typing import Type
+
+from pydantic.v1 import BaseModel
+
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.models.actions import ActionConfig as VocodeActionConfig
+from vocode.streaming.models.actions import ActionInput, ActionOutput
+
+
+class WaitVocodeActionConfig(VocodeActionConfig, type="action_wait"):  # type: ignore
+    pass
+
+
+class WaitParameters(BaseModel):
+    pass
+
+
+class WaitResponse(BaseModel):
+    success: bool
+
+
+class Wait(
+    BaseAction[
+        WaitVocodeActionConfig,
+        WaitParameters,
+        WaitResponse,
+    ]
+):
+    description: str = (
+        "Use this action to wait for the IVR to finish talking or to continue waiting on hold."
+    )
+    parameters_type: Type[WaitParameters] = WaitParameters
+    response_type: Type[WaitResponse] = WaitResponse
+
+    def __init__(
+        self,
+        action_config: WaitVocodeActionConfig,
+    ):
+        super().__init__(
+            action_config,
+            quiet=True,
+            should_respond="never",
+        )
+
+    async def run(self, action_input: ActionInput[WaitParameters]) -> ActionOutput[WaitResponse]:
+        if action_input.user_message_tracker is not None:
+            await action_input.user_message_tracker.wait()
+
+        return ActionOutput(
+            action_type=action_input.action_config.type,
+            response=WaitResponse(success=True),
+        )
diff --git a/vocode/streaming/action/worker.py b/vocode/streaming/action/worker.py
index 4bc5f309df..3c9fda74f1 100644
--- a/vocode/streaming/action/worker.py
+++ b/vocode/streaming/action/worker.py
@@ -1,15 +1,18 @@
 from __future__ import annotations
 
 import asyncio
-from vocode.streaming.action.factory import ActionFactory
+
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.default_factory import DefaultActionFactory
 from vocode.streaming.agent.base_agent import ActionResultAgentInput, AgentInput
-from vocode.streaming.models.actions import (
-    ActionInput,
-    TwilioPhoneCallActionInput,
-    VonagePhoneCallActionInput,
+from vocode.streaming.models.actions import ActionInput
+from vocode.streaming.utils.state_manager import (
+    AbstractConversationStateManager,
+    TwilioPhoneConversationStateManager,
+    VonagePhoneConversationStateManager,
 )
-from vocode.streaming.utils.state_manager import ConversationStateManager
 from vocode.streaming.utils.worker import (
+    AbstractWorker,
     InterruptibleEvent,
     InterruptibleEventFactory,
     InterruptibleWorker,
@@ -17,22 +20,20 @@
 
 
 class ActionsWorker(InterruptibleWorker):
+    consumer: AbstractWorker[InterruptibleEvent[ActionResultAgentInput]]
+
     def __init__(
         self,
-        input_queue: asyncio.Queue[InterruptibleEvent[ActionInput]],
-        output_queue: asyncio.Queue[InterruptibleEvent[AgentInput]],
+        action_factory: AbstractActionFactory,
         interruptible_event_factory: InterruptibleEventFactory = InterruptibleEventFactory(),
-        action_factory: ActionFactory = ActionFactory(),
     ):
         super().__init__(
-            input_queue=input_queue,
-            output_queue=output_queue,
             interruptible_event_factory=interruptible_event_factory,
         )
         self.action_factory = action_factory
 
     def attach_conversation_state_manager(
-        self, conversation_state_manager: ConversationStateManager
+        self, conversation_state_manager: AbstractConversationStateManager
     ):
         self.conversation_state_manager = conversation_state_manager
 
@@ -41,17 +42,28 @@ async def process(self, item: InterruptibleEvent[ActionInput]):
         action = self.action_factory.create_action(action_input.action_config)
         action.attach_conversation_state_manager(self.conversation_state_manager)
         action_output = await action.run(action_input)
-        self.produce_interruptible_event_nonblocking(
-            ActionResultAgentInput(
-                conversation_id=action_input.conversation_id,
-                action_input=action_input,
-                action_output=action_output,
-                vonage_uuid=action_input.vonage_uuid
-                if isinstance(action_input, VonagePhoneCallActionInput)
-                else None,
-                twilio_sid=action_input.twilio_sid
-                if isinstance(action_input, TwilioPhoneCallActionInput)
-                else None,
-                is_quiet=action.quiet,
+        self.consumer.consume_nonblocking(
+            self.interruptible_event_factory.create_interruptible_event(
+                ActionResultAgentInput(
+                    conversation_id=action_input.conversation_id,
+                    action_input=action_input,
+                    action_output=action_output,
+                    vonage_uuid=(
+                        self.conversation_state_manager.get_vonage_uuid()
+                        if isinstance(
+                            self.conversation_state_manager, VonagePhoneConversationStateManager
+                        )
+                        else None
+                    ),
+                    twilio_sid=(
+                        self.conversation_state_manager.get_twilio_sid()
+                        if isinstance(
+                            self.conversation_state_manager, TwilioPhoneConversationStateManager
+                        )
+                        else None
+                    ),
+                    is_quiet=action.quiet,
+                ),
+                is_interruptible=False,
             )
         )
diff --git a/vocode/streaming/agent/__init__.py b/vocode/streaming/agent/__init__.py
index d001c05cfb..39eaf026fe 100644
--- a/vocode/streaming/agent/__init__.py
+++ b/vocode/streaming/agent/__init__.py
@@ -1,10 +1,2 @@
-from vocode.streaming.agent.anthropic_agent import ChatAnthropicAgent
 from vocode.streaming.agent.base_agent import BaseAgent
 from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
-from vocode.streaming.agent.echo_agent import EchoAgent
-from vocode.streaming.agent.gpt4all_agent import GPT4AllAgent
-from vocode.streaming.agent.information_retrieval_agent import InformationRetrievalAgent
-from vocode.streaming.agent.llm_agent import LLMAgent
-from vocode.streaming.agent.restful_user_implemented_agent import (
-    RESTfulUserImplementedAgent,
-)
diff --git a/vocode/streaming/agent/abstract_factory.py b/vocode/streaming/agent/abstract_factory.py
new file mode 100644
index 0000000000..9bef8bc792
--- /dev/null
+++ b/vocode/streaming/agent/abstract_factory.py
@@ -0,0 +1,10 @@
+from abc import ABC, abstractmethod
+
+from vocode.streaming.agent.base_agent import BaseAgent
+from vocode.streaming.models.agent import AgentConfig
+
+
+class AbstractAgentFactory(ABC):
+    @abstractmethod
+    def create_agent(self, agent_config: AgentConfig) -> BaseAgent:
+        pass
diff --git a/vocode/streaming/agent/anthropic_agent.py b/vocode/streaming/agent/anthropic_agent.py
index e1821c3edf..820fa6539a 100644
--- a/vocode/streaming/agent/anthropic_agent.py
+++ b/vocode/streaming/agent/anthropic_agent.py
@@ -1,128 +1,122 @@
-from typing import AsyncGenerator, Optional, Tuple
-from langchain import ConversationChain
-import logging
+import os
+from typing import Any, AsyncGenerator, Dict
 
-from typing import Optional, Tuple
-from vocode.streaming.agent.base_agent import RespondAgent
+import sentry_sdk
+from anthropic import AsyncAnthropic, AsyncStream
+from anthropic.types import MessageStreamEvent
+from loguru import logger
 
-from vocode.streaming.agent.utils import get_sentence_from_buffer
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.default_factory import DefaultActionFactory
+from vocode.streaming.agent.anthropic_utils import format_anthropic_chat_messages_from_transcript
+from vocode.streaming.agent.base_agent import GeneratedResponse, RespondAgent, StreamedResponse
+from vocode.streaming.agent.streaming_utils import collate_response_async, stream_response_async
+from vocode.streaming.models.actions import FunctionFragment
+from vocode.streaming.models.agent import AnthropicAgentConfig
+from vocode.streaming.models.message import BaseMessage, LLMToken
+from vocode.streaming.vector_db.factory import VectorDBFactory
+from vocode.utils.sentry_utils import CustomSentrySpans, sentry_create_span
 
-from langchain import ConversationChain
-from langchain.schema import ChatMessage, AIMessage, HumanMessage
-from langchain.chat_models import ChatAnthropic
-import logging
-from vocode import getenv
 
-from vocode.streaming.models.agent import ChatAnthropicAgentConfig
+class AnthropicAgent(RespondAgent[AnthropicAgentConfig]):
+    anthropic_client: AsyncAnthropic
 
-
-from langchain.prompts import (
-    ChatPromptTemplate,
-    MessagesPlaceholder,
-    HumanMessagePromptTemplate,
-)
-
-from vocode import getenv
-from vocode.streaming.models.agent import ChatAnthropicAgentConfig
-from langchain.memory import ConversationBufferMemory
-
-SENTENCE_ENDINGS = [".", "!", "?"]
-
-
-class ChatAnthropicAgent(RespondAgent[ChatAnthropicAgentConfig]):
     def __init__(
         self,
-        agent_config: ChatAnthropicAgentConfig,
-        logger: Optional[logging.Logger] = None,
-        anthropic_api_key: Optional[str] = None,
+        agent_config: AnthropicAgentConfig,
+        action_factory: AbstractActionFactory = DefaultActionFactory(),
+        vector_db_factory=VectorDBFactory(),
+        **kwargs,
     ):
-        super().__init__(agent_config=agent_config, logger=logger)
-        import anthropic
-
-        anthropic_api_key = anthropic_api_key or getenv("ANTHROPIC_API_KEY")
-        if not anthropic_api_key:
-            raise ValueError(
-                "ANTHROPIC_API_KEY must be set in environment or passed in"
-            )
-        self.prompt = ChatPromptTemplate.from_messages(
-            [
-                MessagesPlaceholder(variable_name="history"),
-                HumanMessagePromptTemplate.from_template("{input}"),
-            ]
+        super().__init__(
+            agent_config=agent_config,
+            action_factory=action_factory,
+            **kwargs,
         )
+        self.anthropic_client = AsyncAnthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
 
-        self.llm = ChatAnthropic(
-            model=agent_config.model_name,
-            anthropic_api_key=anthropic_api_key,
-        )
+    def get_chat_parameters(self, messages: list = [], use_functions: bool = True):
+        assert self.transcript is not None
 
-        # streaming not well supported by langchain, so we will connect directly
-        self.anthropic_client = (
-            anthropic.Client(api_key=anthropic_api_key)
-            if agent_config.generate_responses
-            else None
-        )
+        parameters: dict[str, Any] = {
+            "messages": messages,
+            "system": self.agent_config.prompt_preamble,
+            "max_tokens": self.agent_config.max_tokens,
+            "temperature": self.agent_config.temperature,
+            "stream": True,
+        }
 
-        self.memory = ConversationBufferMemory(return_messages=True)
-        self.memory.chat_memory.messages.append(
-            HumanMessage(content=self.agent_config.prompt_preamble)
-        )
-        if agent_config.initial_message:
-            self.memory.chat_memory.messages.append(
-                AIMessage(content=agent_config.initial_message.text)
-            )
+        parameters["model"] = self.agent_config.model_name
 
-        self.conversation = ConversationChain(
-            memory=self.memory, prompt=self.prompt, llm=self.llm
-        )
+        return parameters
 
-    async def respond(
+    async def token_generator(
         self,
-        human_input,
-        conversation_id: str,
-        is_interrupt: bool = False,
-    ) -> Tuple[str, bool]:
-        text = await self.conversation.apredict(input=human_input)
-        self.logger.debug(f"LLM response: {text}")
-        return text, False
+        gen: AsyncStream[MessageStreamEvent],
+    ) -> AsyncGenerator[str | FunctionFragment, None]:
+        async for chunk in gen:
+            if chunk.type == "content_block_delta" and chunk.delta.type == "text_delta":
+                yield chunk.delta.text
+
+    async def _get_anthropic_stream(self, chat_parameters: Dict[str, Any]):
+        return await self.anthropic_client.messages.create(**chat_parameters)
 
     async def generate_response(
         self,
         human_input,
         conversation_id: str,
         is_interrupt: bool = False,
-    ) -> AsyncGenerator[str, None]:
-        self.memory.chat_memory.messages.append(HumanMessage(content=human_input))
+        bot_was_in_medias_res: bool = False,
+    ) -> AsyncGenerator[GeneratedResponse, None]:
+        if not self.transcript:
+            raise ValueError("A transcript is not attached to the agent")
+        messages = format_anthropic_chat_messages_from_transcript(transcript=self.transcript)
+        chat_parameters = self.get_chat_parameters(messages)
+        try:
+            first_sentence_total_span = sentry_create_span(
+                sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.LLM_FIRST_SENTENCE_TOTAL
+            )
 
-        bot_memory_message = AIMessage(content="")
-        self.memory.chat_memory.messages.append(bot_memory_message)
-        prompt = self.llm._convert_messages_to_prompt(self.memory.chat_memory.messages)
+            ttft_span = sentry_create_span(
+                sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.TIME_TO_FIRST_TOKEN
+            )
+            stream = await self._get_anthropic_stream(chat_parameters)
+        except Exception as e:
+            logger.error(
+                f"Error while hitting Anthropic with chat_parameters: {chat_parameters}",
+                exc_info=True,
+            )
+            raise e
 
-        streamed_response = await self.anthropic_client.acompletion_stream(
-            prompt=prompt,
-            max_tokens_to_sample=self.agent_config.max_tokens_to_sample,
-            model=self.agent_config.model_name,
-        )
+        response_generator = collate_response_async
 
-        buffer = ""
-        async for message in streamed_response:
-            completion = message["completion"]
-            delta = completion[len(bot_memory_message.content + buffer) :]
-            buffer += delta
-
-            sentence, remainder = get_sentence_from_buffer(buffer)
-
-            if sentence:
-                bot_memory_message.content = bot_memory_message.content + sentence
-                buffer = remainder
-                yield sentence
-            continue
-
-    def update_last_bot_message_on_cut_off(self, message: str):
-        for memory_message in self.memory.chat_memory.messages[::-1]:
-            if (
-                isinstance(memory_message, ChatMessage)
-                and memory_message.role == "assistant"
-            ) or isinstance(memory_message, AIMessage):
-                memory_message.content = message
-                return
+        using_input_streaming_synthesizer = (
+            self.conversation_state_manager.using_input_streaming_synthesizer()
+        )
+        if using_input_streaming_synthesizer:
+            response_generator = stream_response_async
+        async for message in response_generator(
+            conversation_id=conversation_id,
+            gen=self.token_generator(
+                stream,
+            ),
+            sentry_span=ttft_span,
+        ):
+            if first_sentence_total_span:
+                first_sentence_total_span.finish()
+
+            ResponseClass = (
+                StreamedResponse if using_input_streaming_synthesizer else GeneratedResponse
+            )
+            MessageType = LLMToken if using_input_streaming_synthesizer else BaseMessage
+
+            if isinstance(message, str):
+                yield ResponseClass(
+                    message=MessageType(text=message),
+                    is_interruptible=True,
+                )
+            else:
+                yield ResponseClass(
+                    message=message,
+                    is_interruptible=True,
+                )
diff --git a/vocode/streaming/agent/anthropic_utils.py b/vocode/streaming/agent/anthropic_utils.py
new file mode 100644
index 0000000000..78d992d24f
--- /dev/null
+++ b/vocode/streaming/agent/anthropic_utils.py
@@ -0,0 +1,39 @@
+from vocode.streaming.agent.openai_utils import merge_event_logs
+from vocode.streaming.models.transcript import ActionStart, EventLog, Transcript
+
+
+def format_anthropic_chat_messages_from_transcript(
+    transcript: Transcript,
+) -> list[dict]:
+    # merge consecutive bot messages
+    new_event_logs: list[EventLog] = merge_event_logs(event_logs=transcript.event_logs)
+
+    # Removing BOT_ACTION_START so that it doesn't confuse the completion-y prompt, e.g.
+    # BOT: BOT_ACTION_START: action_end_conversation
+    # Right now, this version of context does not work for normal actions, only phrase trigger actions
+
+    merged_event_logs_sans_bot_action_start = [
+        event_log for event_log in new_event_logs if not isinstance(event_log, ActionStart)
+    ]
+
+    return [
+        {
+            "role": "user",
+            "content": Transcript(event_logs=merged_event_logs_sans_bot_action_start).to_string(
+                include_timestamps=False,
+                mark_human_backchannels_with_brackets=True,
+            ),
+        },
+        {"role": "assistant", "content": "BOT:"},
+    ]
+    # TODO: reliably count tokens of Anthropic messages so that we don't exceed the context window
+
+
+def merge_bot_messages_for_langchain(messages: list[tuple]) -> list[tuple]:
+    merged_messages: list[tuple] = []
+    for role, message in messages:
+        if role == "ai" and merged_messages and merged_messages[-1][0] == "ai":
+            merged_messages[-1] = ("ai", merged_messages[-1][1] + message)
+        else:
+            merged_messages.append((role, message))
+    return merged_messages
diff --git a/vocode/streaming/agent/base_agent.py b/vocode/streaming/agent/base_agent.py
index bcede5d77d..eb16e638cf 100644
--- a/vocode/streaming/agent/base_agent.py
+++ b/vocode/streaming/agent/base_agent.py
@@ -1,59 +1,65 @@
 from __future__ import annotations
 
 import asyncio
-from enum import Enum
 import json
-import logging
 import random
-from typing import (
-    AsyncGenerator,
-    Generator,
-    Generic,
-    Optional,
-    Tuple,
-    TypeVar,
-    Union,
-    TYPE_CHECKING,
-)
 import typing
-from opentelemetry import trace
-from opentelemetry.trace import Span
-from vocode.streaming.action.factory import ActionFactory
+from enum import Enum
+from typing import TYPE_CHECKING, AsyncGenerator, Dict, Generic, Optional, Tuple, TypeVar, Union
+
+import sentry_sdk
+from loguru import logger
+from pydantic.v1 import BaseModel
+
+from vocode import sentry_span_tags
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.base_action import BaseAction
+from vocode.streaming.action.default_factory import DefaultActionFactory
+from vocode.streaming.action.execute_external_action import ExecuteExternalActionVocodeActionConfig
 from vocode.streaming.action.phone_call_action import (
-    TwilioPhoneCallAction,
-    VonagePhoneCallAction,
+    TwilioPhoneConversationAction,
+    VonagePhoneConversationAction,
 )
+from vocode.streaming.agent.goodbye import is_goodbye_simple
+from vocode.streaming.agent.phrase_trigger import matches_phrase_trigger
 from vocode.streaming.models.actions import (
     ActionConfig,
     ActionInput,
     ActionOutput,
+    EndOfTurn,
     FunctionCall,
-    FunctionFragment,
 )
-
-from vocode.streaming.models.agent import (
-    AgentConfig,
-    ChatGPTAgentConfig,
-    LLMAgentConfig,
-)
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.model import BaseModel, TypedModel
-from vocode.streaming.transcriber.base_transcriber import Transcription
-from vocode.streaming.utils import remove_non_letters_digits
-from vocode.streaming.utils.goodbye_model import GoodbyeModel
-from vocode.streaming.models.transcript import Transcript
+from vocode.streaming.models.agent import AgentConfig, ChatGPTAgentConfig, LLMAgentConfig
+from vocode.streaming.models.events import Sender
+from vocode.streaming.models.message import BaseMessage, BotBackchannel, SilenceMessage
+from vocode.streaming.models.model import TypedModel
+from vocode.streaming.models.transcriber import Transcription
+from vocode.streaming.models.transcript import Message, Transcript
+from vocode.streaming.utils import unrepeating_randomizer
+from vocode.streaming.utils.speed_manager import SpeedManager
 from vocode.streaming.utils.worker import (
+    AbstractWorker,
     InterruptibleAgentResponseEvent,
     InterruptibleEvent,
     InterruptibleEventFactory,
     InterruptibleWorker,
 )
+from vocode.utils.sentry_utils import CustomSentrySpans, sentry_create_span
 
 if TYPE_CHECKING:
-    from vocode.streaming.utils.state_manager import ConversationStateManager
+    from vocode.streaming.utils.state_manager import AbstractConversationStateManager
 
-tracer = trace.get_tracer(__name__)
 AGENT_TRACE_NAME = "agent"
+POST_QUESTION_BACKCHANNELS = [
+    "Oh okay, got it.",
+    "Oh, okay, got it.",
+    "Oh okay got it.",
+    "Ohhh, okay, got it.",
+    "Oh got it, okay.",
+    "Ohhh got it, okay.",
+    "Ohhh, got it, okay.",
+    "Oh, got it, okay.",
+]
 
 
 class AgentInputType(str, Enum):
@@ -62,17 +68,21 @@ class AgentInputType(str, Enum):
     ACTION_RESULT = "agent_input_action_result"
 
 
-class AgentInput(TypedModel, type=AgentInputType.BASE.value):
+class AgentInput(TypedModel, type=AgentInputType.BASE.value):  # type: ignore
     conversation_id: str
     vonage_uuid: Optional[str]
     twilio_sid: Optional[str]
+    agent_response_tracker: Optional[asyncio.Event] = None
+
+    class Config:
+        arbitrary_types_allowed = True
 
 
-class TranscriptionAgentInput(AgentInput, type=AgentInputType.TRANSCRIPTION.value):
+class TranscriptionAgentInput(AgentInput, type=AgentInputType.TRANSCRIPTION.value):  # type: ignore
     transcription: Transcription
 
 
-class ActionResultAgentInput(AgentInput, type=AgentInputType.ACTION_RESULT.value):
+class ActionResultAgentInput(AgentInput, type=AgentInputType.ACTION_RESULT.value):  # type: ignore
     action_input: ActionInput
     action_output: ActionOutput
     is_quiet: bool = False
@@ -85,25 +95,40 @@ class AgentResponseType(str, Enum):
     FILLER_AUDIO = "agent_response_filler_audio"
 
 
-class AgentResponse(TypedModel, type=AgentResponseType.BASE.value):
+class AgentResponse(TypedModel, type=AgentResponseType.BASE.value):  # type: ignore
     pass
 
 
-class AgentResponseMessage(AgentResponse, type=AgentResponseType.MESSAGE.value):
-    message: BaseMessage
+class AgentResponseMessage(AgentResponse, type=AgentResponseType.MESSAGE.value):  # type: ignore
+    message: Union[BaseMessage, EndOfTurn]
     is_interruptible: bool = True
+    # Whether the message is the first message in the response; has metrics implications
+    is_first: bool = False
+    # If the response is not being chunked up into multiple sentences, this is set to True
+    is_sole_text_chunk: bool = False
 
 
-class AgentResponseStop(AgentResponse, type=AgentResponseType.STOP.value):
+class AgentResponseStop(AgentResponse, type=AgentResponseType.STOP.value):  # type: ignore
     pass
 
 
 class AgentResponseFillerAudio(
-    AgentResponse, type=AgentResponseType.FILLER_AUDIO.value
+    AgentResponse,
+    type=AgentResponseType.FILLER_AUDIO.value,  # type: ignore
 ):
     pass
 
 
+class GeneratedResponse(BaseModel):
+    message: Union[BaseMessage, FunctionCall, EndOfTurn]
+    is_interruptible: bool
+    streamed: bool = False
+
+
+class StreamedResponse(GeneratedResponse):
+    streamed: bool = True
+
+
 AgentConfigType = TypeVar("AgentConfigType", bound=AgentConfig)
 
 
@@ -120,7 +145,8 @@ def update_last_bot_message_on_cut_off(self, message: str):
 
     def get_cut_off_response(self) -> str:
         assert isinstance(self.agent_config, LLMAgentConfig) or isinstance(
-            self.agent_config, ChatGPTAgentConfig
+            self.agent_config,
+            ChatGPTAgentConfig,
         ), "Set cutoff response is only implemented in LLMAgent and ChatGPTAgent"
         assert self.agent_config.cut_off_response is not None
         on_cut_off_messages = self.agent_config.cut_off_response.messages
@@ -129,42 +155,31 @@ def get_cut_off_response(self) -> str:
 
 
 class BaseAgent(AbstractAgent[AgentConfigType], InterruptibleWorker):
+    agent_responses_consumer: AbstractWorker[InterruptibleAgentResponseEvent[AgentResponse]]
+    actions_consumer: Optional[AbstractWorker[InterruptibleEvent[ActionInput]]]
+
     def __init__(
         self,
         agent_config: AgentConfigType,
-        action_factory: ActionFactory = ActionFactory(),
+        action_factory: AbstractActionFactory = DefaultActionFactory(),
         interruptible_event_factory: InterruptibleEventFactory = InterruptibleEventFactory(),
-        logger: Optional[logging.Logger] = None,
     ):
-        self.input_queue: asyncio.Queue[
-            InterruptibleEvent[AgentInput]
-        ] = asyncio.Queue()
-        self.output_queue: asyncio.Queue[
-            InterruptibleAgentResponseEvent[AgentResponse]
-        ] = asyncio.Queue()
+        self.input_queue: asyncio.Queue[InterruptibleEvent[AgentInput]] = asyncio.Queue()
         AbstractAgent.__init__(self, agent_config=agent_config)
         InterruptibleWorker.__init__(
             self,
-            input_queue=self.input_queue,
-            output_queue=self.output_queue,
             interruptible_event_factory=interruptible_event_factory,
         )
         self.action_factory = action_factory
-        self.actions_queue: asyncio.Queue[
-            InterruptibleEvent[ActionInput]
-        ] = asyncio.Queue()
-        self.logger = logger or logging.getLogger(__name__)
-        self.goodbye_model = None
-        if self.agent_config.end_conversation_on_goodbye:
-            self.goodbye_model = GoodbyeModel()
-            self.goodbye_model_initialize_task = asyncio.create_task(
-                self.goodbye_model.initialize_embeddings()
-            )
         self.transcript: Optional[Transcript] = None
 
         self.functions = self.get_functions() if self.agent_config.actions else None
         self.is_muted = False
 
+        self.post_question_bot_backchannel_randomizer = unrepeating_randomizer(
+            POST_QUESTION_BACKCHANNELS,
+        )
+
     def get_functions(self):
         raise NotImplementedError
 
@@ -172,10 +187,20 @@ def attach_transcript(self, transcript: Transcript):
         self.transcript = transcript
 
     def attach_conversation_state_manager(
-        self, conversation_state_manager: ConversationStateManager
+        self,
+        conversation_state_manager: AbstractConversationStateManager,
     ):
         self.conversation_state_manager = conversation_state_manager
 
+    def attach_speed_manager(self, speed_manager: SpeedManager):
+        self.speed_manager = speed_manager
+
+    def _get_speed_adjusted_silence_seconds(self, seconds: float) -> float:
+        speed_coefficient = (
+            self.speed_manager.get_speed_coefficient() if self.speed_manager is not None else 1.0
+        )
+        return seconds / speed_coefficient
+
     def set_interruptible_event_factory(self, factory: InterruptibleEventFactory):
         self.interruptible_event_factory = factory
 
@@ -184,88 +209,188 @@ def get_input_queue(
     ) -> asyncio.Queue[InterruptibleEvent[AgentInput]]:
         return self.input_queue
 
-    def get_output_queue(
-        self,
-    ) -> asyncio.Queue[InterruptibleAgentResponseEvent[AgentResponse]]:
-        return self.output_queue
+    def is_first_response(self):
+        assert self.transcript is not None
+
+        num_bot_messages = sum(
+            1
+            for event_log in self.transcript.event_logs
+            if isinstance(event_log, Message) and event_log.sender == Sender.BOT
+        )
 
-    def create_goodbye_detection_task(self, message: str) -> asyncio.Task:
-        assert self.goodbye_model is not None
-        return asyncio.create_task(self.goodbye_model.is_goodbye(message))
+        return num_bot_messages <= (1 if self.agent_config.initial_message is not None else 0)
 
 
 class RespondAgent(BaseAgent[AgentConfigType]):
+    async def _maybe_prepend_interrupt_responses(
+        self,
+        transcription: Transcription,
+        responses_stream: AsyncGenerator[GeneratedResponse, None],
+    ) -> AsyncGenerator[GeneratedResponse, None]:
+        if transcription.is_interrupt:
+            if self.agent_config.cut_off_response:
+                cut_off_response = self.get_cut_off_response()
+                yield GeneratedResponse(
+                    message=BaseMessage(text=cut_off_response),
+                    is_interruptible=False,
+                )
+                return
+            if transcription.bot_was_in_medias_res:
+                silence_message = SilenceMessage()
+                silence_message.trailing_silence_seconds = self._get_speed_adjusted_silence_seconds(
+                    silence_message.trailing_silence_seconds
+                )
+                yield GeneratedResponse(message=silence_message, is_interruptible=True)
+        async for response in responses_stream:
+            yield response
+
     async def handle_generate_response(
-        self, transcription: Transcription, agent_input: AgentInput
+        self,
+        transcription: Transcription,
+        agent_input: AgentInput,
     ) -> bool:
         conversation_id = agent_input.conversation_id
-        tracer_name_start = await self.get_tracer_name_start()
-        agent_span = tracer.start_span(
-            f"{tracer_name_start}.generate_total"  # type: ignore
-        )
-        agent_span_first = tracer.start_span(
-            f"{tracer_name_start}.generate_first"  # type: ignore
+        responses = self._maybe_prepend_interrupt_responses(
+            transcription=transcription,
+            responses_stream=self.generate_response(
+                transcription.message,
+                is_interrupt=transcription.is_interrupt,
+                conversation_id=conversation_id,
+                bot_was_in_medias_res=transcription.bot_was_in_medias_res,
+            ),
         )
-        responses = self.generate_response(
-            transcription.message,
-            is_interrupt=transcription.is_interrupt,
-            conversation_id=conversation_id,
-        )
-        is_first_response = True
+        is_first_response_of_turn = True
         function_call = None
-        async for response in responses:
-            if isinstance(response, FunctionCall):
-                function_call = response
+
+        responses_buffer = ""
+        end_of_turn_agent_response_tracker = None
+
+        async for generated_response in responses:
+            if is_first_response_of_turn:
+                message_type = "UNKNOWN"
+                match generated_response.message:
+                    case SilenceMessage():  # type: ignore[misc]
+                        message_type = "silence"
+                    case BotBackchannel():  # type: ignore[misc]
+                        message_type = "backchannel"
+                    case BaseMessage():  # type: ignore[misc]
+                        message_type = "message"
+                    case FunctionCall():  # type: ignore[misc]
+                        message_type = "function_call"
+                    case _:
+                        logger.warning(
+                            "Unknown message type received for Sentry metrics "
+                            f"reporting: {type(generated_response.message)}",
+                        )
+                span_tags = sentry_span_tags.value
+                if span_tags:
+                    span_tags["message_type"] = message_type
+                    sentry_span_tags.set(span_tags)
+
+            if isinstance(generated_response.message, FunctionCall):
+                function_call = generated_response.message
                 continue
-            if is_first_response:
-                agent_span_first.end()
-                is_first_response = False
-            self.produce_interruptible_agent_response_event_nonblocking(
-                AgentResponseMessage(message=BaseMessage(text=response)),
-                is_interruptible=self.agent_config.allow_agent_to_be_cut_off,
+
+            agent_response_tracker = agent_input.agent_response_tracker or asyncio.Event()
+            self.agent_responses_consumer.consume_nonblocking(
+                self.interruptible_event_factory.create_interruptible_agent_response_event(
+                    AgentResponseMessage(
+                        message=generated_response.message,
+                        is_first=is_first_response_of_turn,
+                    ),
+                    is_interruptible=self.agent_config.allow_agent_to_be_cut_off
+                    and generated_response.is_interruptible,
+                    agent_response_tracker=agent_response_tracker,
+                ),
+            )
+            if isinstance(generated_response.message, BaseMessage):
+                responses_buffer = f"{responses_buffer} {generated_response.message.text}"
+            elif isinstance(generated_response.message, EndOfTurn):
+                end_of_turn_agent_response_tracker = agent_response_tracker
+
+            if self.agent_config.end_conversation_on_goodbye and isinstance(
+                generated_response.message,
+                BaseMessage,
+            ):
+                if is_goodbye_simple(
+                    message=generated_response.message.text,
+                    phrases=self.agent_config.goodbye_phrases,
+                ):
+                    logger.debug("Simple goodbye detected, ending conversation")
+                    return True
+            is_first_response_of_turn = False
+
+        # if the client (the implemented agent) doesn't create an EndOfTurn, then we need to create one
+        if not end_of_turn_agent_response_tracker:
+            end_of_turn_agent_response_tracker = (
+                agent_input.agent_response_tracker or asyncio.Event()
+            )
+            self.agent_responses_consumer.consume_nonblocking(
+                self.interruptible_event_factory.create_interruptible_agent_response_event(
+                    AgentResponseMessage(
+                        message=EndOfTurn(),
+                        is_first=is_first_response_of_turn,
+                    ),
+                    is_interruptible=self.agent_config.allow_agent_to_be_cut_off,
+                    agent_response_tracker=end_of_turn_agent_response_tracker,
+                ),
+            )
+
+        phrase_trigger_match_action_config = (
+            matches_phrase_trigger(responses_buffer, self.agent_config.actions)
+            if self.agent_config.actions
+            else None
+        )
+        if phrase_trigger_match_action_config:
+            action = self.action_factory.create_action(phrase_trigger_match_action_config)
+            action_input = self.create_action_input(
+                action,
+                agent_input,
+                {},
+                end_of_turn_agent_response_tracker,
             )
+            self.enqueue_action_input(action, action_input, agent_input.conversation_id)
+
         # TODO: implement should_stop for generate_responses
-        agent_span.end()
         if function_call and self.agent_config.actions is not None:
             await self.call_function(function_call, agent_input)
         return False
 
-    async def handle_respond(
-        self, transcription: Transcription, conversation_id: str
-    ) -> bool:
+    async def handle_respond(self, transcription: Transcription, conversation_id: str) -> bool:
         try:
-            tracer_name_start = await self.get_tracer_name_start()
-            with tracer.start_as_current_span(f"{tracer_name_start}.respond_total"):
-                response, should_stop = await self.respond(
-                    transcription.message,
-                    is_interrupt=transcription.is_interrupt,
-                    conversation_id=conversation_id,
-                )
+            response, should_stop = await self.respond(
+                transcription.message,
+                is_interrupt=transcription.is_interrupt,
+                conversation_id=conversation_id,
+            )
         except Exception as e:
-            self.logger.error(f"Error while generating response: {e}", exc_info=True)
+            logger.error(f"Error while generating response: {e}", exc_info=True)
             response = None
             return True
         if response:
-            self.produce_interruptible_agent_response_event_nonblocking(
-                AgentResponseMessage(message=BaseMessage(text=response)),
-                is_interruptible=self.agent_config.allow_agent_to_be_cut_off,
+            self.agent_responses_consumer.consume_nonblocking(
+                self.interruptible_event_factory.create_interruptible_agent_response_event(
+                    AgentResponseMessage(message=BaseMessage(text=response)),
+                    is_interruptible=self.agent_config.allow_agent_to_be_cut_off,
+                )
+            )
+            self.agent_responses_consumer.consume_nonblocking(
+                self.interruptible_event_factory.create_interruptible_agent_response_event(
+                    AgentResponseMessage(message=EndOfTurn()),
+                    is_interruptible=self.agent_config.allow_agent_to_be_cut_off,
+                )
             )
             return should_stop
         else:
-            self.logger.debug("No response generated")
+            logger.debug("No response generated")
         return False
 
     async def process(self, item: InterruptibleEvent[AgentInput]):
-        if self.is_muted:
-            self.logger.debug("Agent is muted, skipping processing")
-            return
         assert self.transcript is not None
         try:
             agent_input = item.payload
             if isinstance(agent_input, TranscriptionAgentInput):
-                transcription = typing.cast(
-                    TranscriptionAgentInput, agent_input
-                ).transcription
+                transcription = typing.cast(TranscriptionAgentInput, agent_input).transcription
                 self.transcript.add_human_message(
                     text=transcription.message,
                     conversation_id=agent_input.conversation_id,
@@ -278,7 +403,23 @@ async def process(self, item: InterruptibleEvent[AgentInput]):
                 )
                 if agent_input.is_quiet:
                     # Do not generate a response to quiet actions
-                    self.logger.debug("Action is quiet, skipping response generation")
+                    logger.debug("Action is quiet, skipping response generation")
+                    return
+                if agent_input.action_output.canned_response is not None:
+                    self.agent_responses_consumer.consume_nonblocking(
+                        self.interruptible_event_factory.create_interruptible_agent_response_event(
+                            AgentResponseMessage(
+                                message=agent_input.action_output.canned_response,
+                                is_sole_text_chunk=True,
+                            ),
+                            is_interruptible=True,
+                        )
+                    )
+                    self.agent_responses_consumer.consume_nonblocking(
+                        self.interruptible_event_factory.create_interruptible_agent_response_event(
+                            AgentResponseMessage(message=EndOfTurn()),
+                        )
+                    )
                     return
                 transcription = Transcription(
                     message=agent_input.action_output.response.json(),
@@ -288,45 +429,38 @@ async def process(self, item: InterruptibleEvent[AgentInput]):
             else:
                 raise ValueError("Invalid AgentInput type")
 
-            goodbye_detected_task = None
-            if self.agent_config.end_conversation_on_goodbye:
-                goodbye_detected_task = self.create_goodbye_detection_task(
-                    transcription.message
-                )
+            if self.is_muted:
+                logger.debug("Agent is muted, skipping processing")
+                return
+
             if self.agent_config.send_filler_audio:
-                self.produce_interruptible_agent_response_event_nonblocking(
-                    AgentResponseFillerAudio()
+                self.agent_responses_consumer.consume_nonblocking(
+                    self.interruptible_event_factory.create_interruptible_agent_response_event(
+                        AgentResponseFillerAudio(),
+                    )
                 )
-            self.logger.debug("Responding to transcription")
+
+            logger.debug("Responding to transcription")
             should_stop = False
             if self.agent_config.generate_responses:
-                should_stop = await self.handle_generate_response(
-                    transcription, agent_input
-                )
+                # TODO (EA): this is quite ugly but necessary to have the agent act properly after an action completes
+                if not isinstance(agent_input, ActionResultAgentInput):
+                    sentry_create_span(
+                        sentry_callable=sentry_sdk.start_span,
+                        op=CustomSentrySpans.LANGUAGE_MODEL_TIME_TO_FIRST_TOKEN,
+                    )
+                should_stop = await self.handle_generate_response(transcription, agent_input)
             else:
-                should_stop = await self.handle_respond(
-                    transcription, agent_input.conversation_id
-                )
+                should_stop = await self.handle_respond(transcription, agent_input.conversation_id)
 
             if should_stop:
-                self.logger.debug("Agent requested to stop")
-                self.produce_interruptible_agent_response_event_nonblocking(
-                    AgentResponseStop()
+                logger.debug("Agent requested to stop")
+                self.agent_responses_consumer.consume_nonblocking(
+                    self.interruptible_event_factory.create_interruptible_agent_response_event(
+                        AgentResponseStop(),
+                    )
                 )
                 return
-            if goodbye_detected_task:
-                try:
-                    goodbye_detected = await asyncio.wait_for(
-                        goodbye_detected_task, 0.1
-                    )
-                    if goodbye_detected:
-                        self.logger.debug("Goodbye detected, ending conversation")
-                        self.produce_interruptible_agent_response_event_nonblocking(
-                            AgentResponseStop()
-                        )
-                        return
-                except asyncio.TimeoutError:
-                    self.logger.debug("Goodbye detection timed out")
         except asyncio.CancelledError:
             pass
 
@@ -334,16 +468,17 @@ def _get_action_config(self, function_name: str) -> Optional[ActionConfig]:
         if self.agent_config.actions is None:
             return None
         for action_config in self.agent_config.actions:
-            if action_config.type == function_name:
+            if action_config.type == function_name or (
+                isinstance(action_config, ExecuteExternalActionVocodeActionConfig)
+                and action_config.name == function_name
+            ):
                 return action_config
         return None
 
     async def call_function(self, function_call: FunctionCall, agent_input: AgentInput):
         action_config = self._get_action_config(function_call.name)
         if action_config is None:
-            self.logger.error(
-                f"Function {function_call.name} not found in agent config, skipping"
-            )
+            logger.error(f"Function {function_call.name} not found in agent config, skipping")
             return
         action = self.action_factory.create_action(action_config)
         params = json.loads(function_call.arguments)
@@ -351,26 +486,47 @@ async def call_function(self, function_call: FunctionCall, agent_input: AgentInp
         if "user_message" in params:
             user_message = params["user_message"]
             user_message_tracker = asyncio.Event()
-            self.produce_interruptible_agent_response_event_nonblocking(
-                AgentResponseMessage(message=BaseMessage(text=user_message)),
-                agent_response_tracker=user_message_tracker,
+            self.agent_responses_consumer.consume_nonblocking(
+                self.interruptible_event_factory.create_interruptible_agent_response_event(
+                    AgentResponseMessage(
+                        message=BaseMessage(text=user_message),
+                        is_sole_text_chunk=True,
+                    ),
+                    is_interruptible=action.is_interruptible,
+                )
+            )
+            self.agent_responses_consumer.consume_nonblocking(
+                self.interruptible_event_factory.create_interruptible_agent_response_event(
+                    AgentResponseMessage(message=EndOfTurn()),
+                    agent_response_tracker=user_message_tracker,
+                )
             )
+        action_input = self.create_action_input(action, agent_input, params, user_message_tracker)
+        self.enqueue_action_input(action, action_input, agent_input.conversation_id)
+
+    def create_action_input(
+        self,
+        action: BaseAction,
+        agent_input: AgentInput,
+        params: Dict,
+        user_message_tracker: Optional[asyncio.Event] = None,
+    ) -> ActionInput:
         action_input: ActionInput
-        if isinstance(action, VonagePhoneCallAction):
+        if isinstance(action, VonagePhoneConversationAction):
             assert (
                 agent_input.vonage_uuid is not None
-            ), "Cannot use VonagePhoneCallActionFactory unless the attached conversation is a VonageCall"
-            action_input = action.create_phone_call_action_input(
+            ), "Cannot use VonagePhoneConversationActionFactory unless the attached conversation is a VonagePhoneConversation"
+            action_input = action.create_phone_conversation_action_input(
                 agent_input.conversation_id,
                 params,
                 agent_input.vonage_uuid,
                 user_message_tracker,
             )
-        elif isinstance(action, TwilioPhoneCallAction):
+        elif isinstance(action, TwilioPhoneConversationAction):
             assert (
                 agent_input.twilio_sid is not None
-            ), "Cannot use TwilioPhoneCallActionFactory unless the attached conversation is a TwilioCall"
-            action_input = action.create_phone_call_action_input(
+            ), "Cannot use TwilioPhoneConversationActionFactory unless the attached conversation is a TwilioPhoneConversation"
+            action_input = action.create_phone_conversation_action_input(
                 agent_input.conversation_id,
                 params,
                 agent_input.twilio_sid,
@@ -382,39 +538,27 @@ async def call_function(self, function_call: FunctionCall, agent_input: AgentInp
                 params,
                 user_message_tracker,
             )
+        return action_input
+
+    def enqueue_action_input(
+        self,
+        action: BaseAction,
+        action_input: ActionInput,
+        conversation_id: str,
+    ):
+        if self.actions_consumer is None:
+            logger.warning("No actions consumer attached, skipping action")
+            return
         event = self.interruptible_event_factory.create_interruptible_event(
-            action_input, is_interruptible=action.is_interruptible
+            action_input,
+            is_interruptible=action.is_interruptible,
         )
         assert self.transcript is not None
         self.transcript.add_action_start_log(
             action_input=action_input,
-            conversation_id=agent_input.conversation_id,
+            conversation_id=conversation_id,
         )
-        self.actions_queue.put_nowait(event)
-
-    async def get_tracer_name_start(self) -> str:
-        if hasattr(self, "tracer_name_start"):
-            return self.tracer_name_start
-        if (
-            hasattr(self.agent_config, "azure_params")
-            and self.agent_config.azure_params is not None
-        ):
-            beginning_agent_name = self.agent_config.type.rsplit("_", 1)[0]
-            engine = self.agent_config.azure_params.engine
-            tracer_name_start = (
-                f"{AGENT_TRACE_NAME}.{beginning_agent_name}_azuregpt-{engine}"
-            )
-        else:
-            optional_model_name = (
-                f"-{self.agent_config.model_name}"
-                if hasattr(self.agent_config, "model_name")
-                else ""
-            )
-            tracer_name_start = remove_non_letters_digits(
-                f"{AGENT_TRACE_NAME}.{self.agent_config.type}{optional_model_name}"
-            )
-        self.tracer_name_start: str = tracer_name_start
-        return tracer_name_start
+        self.actions_consumer.consume_nonblocking(event)
 
     async def respond(
         self,
@@ -429,5 +573,9 @@ def generate_response(
         human_input,
         conversation_id: str,
         is_interrupt: bool = False,
-    ) -> AsyncGenerator[Union[str, FunctionCall], None]:
+        bot_was_in_medias_res: bool = False,
+    ) -> AsyncGenerator[
+        GeneratedResponse,
+        None,
+    ]:  # tuple of the content and whether it is interruptible
         raise NotImplementedError
diff --git a/vocode/streaming/agent/bot_sentiment_analyser.py b/vocode/streaming/agent/bot_sentiment_analyser.py
deleted file mode 100644
index 9565d71cf0..0000000000
--- a/vocode/streaming/agent/bot_sentiment_analyser.py
+++ /dev/null
@@ -1,58 +0,0 @@
-from typing import List, Optional
-from langchain.llms import OpenAI
-from langchain.prompts import PromptTemplate
-from pydantic import BaseModel
-
-from vocode import getenv
-
-TEMPLATE = """
-Read the following conversation classify the final emotion of the Bot as one of [{emotions}].
-Output the degree of emotion as a value between 0 and 1 in the format EMOTION,DEGREE: ex. {example_emotion},0.5
-            
-<start>
-{{transcript}}
-<end>
-"""
-
-
-class BotSentiment(BaseModel):
-    emotion: Optional[str] = None
-    degree: float = 0.0
-
-
-class BotSentimentAnalyser:
-    def __init__(
-        self,
-        emotions: List[str],
-        model_name: str = "text-davinci-003",
-        openai_api_key: Optional[str] = None,
-    ):
-        self.model_name = model_name
-        openai_api_key = openai_api_key or getenv("OPENAI_API_KEY")
-        if not openai_api_key:
-            raise ValueError("OPENAI_API_KEY must be set in environment or passed in")
-        self.llm = OpenAI(model_name=self.model_name, openai_api_key=openai_api_key)  # type: ignore
-        assert len(emotions) > 0
-        self.emotions = [e.lower() for e in emotions]
-        self.prompt = PromptTemplate(
-            input_variables=["transcript"],
-            template=TEMPLATE.format(
-                emotions=",".join(self.emotions), example_emotion=self.emotions[0]
-            ),
-        )
-
-    async def analyse(self, transcript: str) -> BotSentiment:
-        prompt = self.prompt.format(transcript=transcript)
-        response = (await self.llm.agenerate([prompt])).generations[0][0].text.strip()
-        tokens = response.split(",")
-        if len(tokens) != 2:
-            return BotSentiment(emotion=None, degree=0.0)
-        emotion, degree = tokens
-        emotion = emotion.strip().lower()
-        if emotion.lower() not in self.emotions:
-            return BotSentiment(emotion=None, degree=0.0)
-        try:
-            parsed_degree = float(degree.strip())
-        except ValueError:
-            return BotSentiment(emotion=emotion, degree=0.5)
-        return BotSentiment(emotion=emotion, degree=parsed_degree)
diff --git a/vocode/streaming/agent/chat_gpt_agent.py b/vocode/streaming/agent/chat_gpt_agent.py
index 5cd0e2d66e..0ca8c5c1b9 100644
--- a/vocode/streaming/agent/chat_gpt_agent.py
+++ b/vocode/streaming/agent/chat_gpt_agent.py
@@ -1,64 +1,77 @@
-import logging
+import os
+import random
+from typing import Any, AsyncGenerator, Dict, List, Optional, TypeVar, Union
 
-from typing import Any, Dict, List, Optional, Tuple, Union
+import sentry_sdk
+from loguru import logger
+from openai import DEFAULT_MAX_RETRIES as OPENAI_DEFAULT_MAX_RETRIES
+from openai import AsyncAzureOpenAI, AsyncOpenAI, NotFoundError, RateLimitError
 
-import openai
-from typing import AsyncGenerator, Optional, Tuple
-
-import logging
-from pydantic import BaseModel
-
-from vocode import getenv
-from vocode.streaming.action.factory import ActionFactory
-from vocode.streaming.agent.base_agent import RespondAgent
-from vocode.streaming.models.actions import FunctionCall, FunctionFragment
-from vocode.streaming.models.agent import ChatGPTAgentConfig
-from vocode.streaming.agent.utils import (
+from vocode import sentry_span_tags
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.default_factory import DefaultActionFactory
+from vocode.streaming.agent.base_agent import GeneratedResponse, RespondAgent, StreamedResponse
+from vocode.streaming.agent.openai_utils import (
     format_openai_chat_messages_from_transcript,
-    collate_response_async,
     openai_get_tokens,
     vector_db_result_to_openai_chat_message,
 )
+from vocode.streaming.agent.streaming_utils import collate_response_async, stream_response_async
+from vocode.streaming.models.actions import FunctionCallActionTrigger
+from vocode.streaming.models.agent import ChatGPTAgentConfig
 from vocode.streaming.models.events import Sender
-from vocode.streaming.models.transcript import Transcript
+from vocode.streaming.models.message import BaseMessage, BotBackchannel, LLMToken
+from vocode.streaming.models.transcript import Message
 from vocode.streaming.vector_db.factory import VectorDBFactory
+from vocode.utils.sentry_utils import CustomSentrySpans, sentry_create_span
+
+ChatGPTAgentConfigType = TypeVar("ChatGPTAgentConfigType", bound=ChatGPTAgentConfig)
+
+
+def instantiate_openai_client(agent_config: ChatGPTAgentConfig, model_fallback: bool = False):
+    if agent_config.azure_params:
+        return AsyncAzureOpenAI(
+            azure_endpoint=agent_config.azure_params.base_url,
+            api_key=agent_config.azure_params.api_key,
+            api_version=agent_config.azure_params.api_version,
+            max_retries=0 if model_fallback else OPENAI_DEFAULT_MAX_RETRIES,
+        )
+    else:
+        if agent_config.openai_api_key is not None:
+            logger.info("Using OpenAI API key override")
+        if agent_config.base_url_override is not None:
+            logger.info(f"Using OpenAI base URL override: {agent_config.base_url_override}")
+        return AsyncOpenAI(
+            api_key=agent_config.openai_api_key or os.environ["OPENAI_API_KEY"],
+            base_url=agent_config.base_url_override or "https://api.openai.com/v1",
+            max_retries=0 if model_fallback else OPENAI_DEFAULT_MAX_RETRIES,
+        )
 
 
-class ChatGPTAgent(RespondAgent[ChatGPTAgentConfig]):
+class ChatGPTAgent(RespondAgent[ChatGPTAgentConfigType]):
+    openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI]
+
     def __init__(
         self,
-        agent_config: ChatGPTAgentConfig,
-        action_factory: ActionFactory = ActionFactory(),
-        logger: Optional[logging.Logger] = None,
-        openai_api_key: Optional[str] = None,
+        agent_config: ChatGPTAgentConfigType,
+        action_factory: AbstractActionFactory = DefaultActionFactory(),
         vector_db_factory=VectorDBFactory(),
+        **kwargs,
     ):
         super().__init__(
-            agent_config=agent_config, action_factory=action_factory, logger=logger
+            agent_config=agent_config,
+            action_factory=action_factory,
+            **kwargs,
         )
-        if agent_config.azure_params:
-            openai.api_type = agent_config.azure_params.api_type
-            openai.api_base = getenv("AZURE_OPENAI_API_BASE")
-            openai.api_version = agent_config.azure_params.api_version
-            openai.api_key = getenv("AZURE_OPENAI_API_KEY")
-        else:
-            openai.api_type = "open_ai"
-            openai.api_base = "https://api.openai.com/v1"
-            openai.api_version = None
-            openai.api_key = openai_api_key or getenv("OPENAI_API_KEY")
-        if not openai.api_key:
-            raise ValueError("OPENAI_API_KEY must be set in environment or passed in")
-        self.first_response = (
-            self.create_first_response(agent_config.expected_first_prompt)
-            if agent_config.expected_first_prompt
-            else None
+        self.openai_client = instantiate_openai_client(
+            agent_config, model_fallback=agent_config.llm_fallback is not None
         )
-        self.is_first_response = True
+
+        if not self.openai_client.api_key:
+            raise ValueError("OPENAI_API_KEY must be set in environment or passed in")
 
         if self.agent_config.vector_db_config:
-            self.vector_db = vector_db_factory.create_vector_db(
-                self.agent_config.vector_db_config
-            )
+            self.vector_db = vector_db_factory.create_vector_db(self.agent_config.vector_db_config)
 
     def get_functions(self):
         assert self.agent_config.actions
@@ -67,12 +80,18 @@ def get_functions(self):
         return [
             self.action_factory.create_action(action_config).get_openai_function()
             for action_config in self.agent_config.actions
+            if isinstance(action_config.action_trigger, FunctionCallActionTrigger)
         ]
 
-    def get_chat_parameters(self, messages: Optional[List] = None):
+    def get_chat_parameters(self, messages: Optional[List] = None, use_functions: bool = True):
         assert self.transcript is not None
+        is_azure = self._is_azure_model()
+
         messages = messages or format_openai_chat_messages_from_transcript(
-            self.transcript, self.agent_config.prompt_preamble
+            self.transcript,
+            self.get_model_name_for_tokenizer(),
+            self.functions,
+            self.agent_config.prompt_preamble,
         )
 
         parameters: Dict[str, Any] = {
@@ -81,92 +100,198 @@ def get_chat_parameters(self, messages: Optional[List] = None):
             "temperature": self.agent_config.temperature,
         }
 
-        if self.agent_config.azure_params is not None:
-            parameters["engine"] = self.agent_config.azure_params.engine
+        if is_azure:
+            assert self.agent_config.azure_params is not None
+            parameters["model"] = self.agent_config.azure_params.deployment_name
         else:
             parameters["model"] = self.agent_config.model_name
 
-        if self.functions:
+        if use_functions and self.functions:
             parameters["functions"] = self.functions
 
         return parameters
 
-    def create_first_response(self, first_prompt):
-        messages = [
-            (
-                [{"role": "system", "content": self.agent_config.prompt_preamble}]
-                if self.agent_config.prompt_preamble
-                else []
-            )
-            + [{"role": "user", "content": first_prompt}]
-        ]
+    def _is_azure_model(self) -> bool:
+        return self.agent_config.azure_params is not None
 
-        parameters = self.get_chat_parameters(messages)
-        return openai.ChatCompletion.create(**parameters)
+    def get_model_name_for_tokenizer(self):
+        if not self.agent_config.azure_params:
+            return self.agent_config.model_name
+        else:
+            return self.agent_config.azure_params.openai_model_name
 
-    def attach_transcript(self, transcript: Transcript):
-        self.transcript = transcript
+    def apply_model_fallback(self, chat_parameters: Dict[str, Any]):
+        if self.agent_config.llm_fallback is None:
+            return
+        if self.agent_config.llm_fallback.provider == "openai":
+            self.agent_config.model_name = self.agent_config.llm_fallback.model_name
+            if isinstance(self.openai_client, AsyncAzureOpenAI):
+                self.agent_config.azure_params = None
+        else:
+            if self.agent_config.azure_params:
+                self.agent_config.azure_params.deployment_name = (
+                    self.agent_config.llm_fallback.model_name
+                )
+                if isinstance(self.openai_client, AsyncOpenAI):
+                    # TODO: handle OpenAI fallback to Azure
+                    pass
 
-    async def respond(
-        self,
-        human_input,
-        conversation_id: str,
-        is_interrupt: bool = False,
-    ) -> Tuple[str, bool]:
-        assert self.transcript is not None
-        if is_interrupt and self.agent_config.cut_off_response:
-            cut_off_response = self.get_cut_off_response()
-            return cut_off_response, False
-        self.logger.debug("LLM responding to human input")
-        if self.is_first_response and self.first_response:
-            self.logger.debug("First response is cached")
-            self.is_first_response = False
-            text = self.first_response
+        self.openai_client = instantiate_openai_client(self.agent_config, model_fallback=False)
+        chat_parameters["model"] = self.agent_config.llm_fallback.model_name
+
+    async def _create_openai_stream_with_fallback(
+        self, chat_parameters: Dict[str, Any]
+    ) -> AsyncGenerator:
+        try:
+            stream = await self.openai_client.chat.completions.create(**chat_parameters)
+        except (NotFoundError, RateLimitError) as e:
+            logger.error(
+                f"{'Model not found' if isinstance(e, NotFoundError) else 'Rate limit error'} for model_name: {chat_parameters.get('model')}. Applying fallback.",
+                exc_info=True,
+            )
+            self.apply_model_fallback(chat_parameters)
+            stream = await self.openai_client.chat.completions.create(**chat_parameters)
+        return stream
+
+    async def _create_openai_stream(self, chat_parameters: Dict[str, Any]) -> AsyncGenerator:
+        if self.agent_config.llm_fallback is not None and self.openai_client.max_retries == 0:
+            stream = await self._create_openai_stream_with_fallback(chat_parameters)
         else:
-            chat_parameters = self.get_chat_parameters()
-            chat_completion = await openai.ChatCompletion.acreate(**chat_parameters)
-            text = chat_completion.choices[0].message.content
-        self.logger.debug(f"LLM response: {text}")
-        return text, False
+            stream = await self.openai_client.chat.completions.create(**chat_parameters)
+        return stream
+
+    def should_backchannel(self, human_input: str) -> bool:
+        return (
+            not self.is_first_response()
+            and not human_input.strip().endswith("?")
+            and random.random() < self.agent_config.backchannel_probability
+        )
+
+    def choose_backchannel(self) -> Optional[BotBackchannel]:
+        backchannel = None
+        if self.transcript is not None:
+            last_bot_message: Optional[Message] = None
+            for event_log in self.transcript.event_logs[::-1]:
+                if isinstance(event_log, Message) and event_log.sender == Sender.BOT:
+                    last_bot_message = event_log
+                    break
+            if last_bot_message and last_bot_message.text.strip().endswith("?"):
+                return BotBackchannel(text=self.post_question_bot_backchannel_randomizer())
+        return backchannel
 
     async def generate_response(
         self,
         human_input: str,
         conversation_id: str,
         is_interrupt: bool = False,
-    ) -> AsyncGenerator[Union[str, FunctionCall], None]:
-        if is_interrupt and self.agent_config.cut_off_response:
-            cut_off_response = self.get_cut_off_response()
-            yield cut_off_response
-            return
+        bot_was_in_medias_res: bool = False,
+    ) -> AsyncGenerator[GeneratedResponse, None]:
         assert self.transcript is not None
 
+        chat_parameters = {}
         if self.agent_config.vector_db_config:
-            docs_with_scores = await self.vector_db.similarity_search_with_score(
-                self.transcript.get_last_user_message()[1]
-            )
-            docs_with_scores_str = "\n\n".join(
-                [
-                    "Document: "
-                    + doc[0].metadata["source"]
-                    + f" (Confidence: {doc[1]})\n"
-                    + doc[0].lc_kwargs["page_content"].replace(r"\n", "\n")
-                    for doc in docs_with_scores
-                ]
-            )
-            vector_db_result = f"Found {len(docs_with_scores)} similar documents:\n{docs_with_scores_str}"
-            messages = format_openai_chat_messages_from_transcript(
-                self.transcript, self.agent_config.prompt_preamble
-            )
-            messages.insert(
-                -1, vector_db_result_to_openai_chat_message(vector_db_result)
-            )
-            chat_parameters = self.get_chat_parameters(messages)
+            try:
+                docs_with_scores = await self.vector_db.similarity_search_with_score(
+                    self.transcript.get_last_user_message()[1]
+                )
+                docs_with_scores_str = "\n\n".join(
+                    [
+                        "Document: "
+                        + doc[0].metadata["source"]
+                        + f" (Confidence: {doc[1]})\n"
+                        + doc[0].lc_kwargs["page_content"].replace(r"\n", "\n")
+                        for doc in docs_with_scores
+                    ]
+                )
+                vector_db_result = (
+                    f"Found {len(docs_with_scores)} similar documents:\n{docs_with_scores_str}"
+                )
+                messages = format_openai_chat_messages_from_transcript(
+                    self.transcript,
+                    self.agent_config.model_name,
+                    self.functions,
+                    self.agent_config.prompt_preamble,
+                )
+                messages.insert(-1, vector_db_result_to_openai_chat_message(vector_db_result))
+                chat_parameters = self.get_chat_parameters(messages)
+            except Exception as e:
+                logger.error(f"Error while hitting vector db: {e}", exc_info=True)
+                chat_parameters = self.get_chat_parameters()
         else:
             chat_parameters = self.get_chat_parameters()
         chat_parameters["stream"] = True
-        stream = await openai.ChatCompletion.acreate(**chat_parameters)
-        async for message in collate_response_async(
-            openai_get_tokens(stream), get_functions=True
+
+        openai_chat_messages: List = chat_parameters.get("messages", [])
+
+        backchannelled = "false"
+        backchannel: Optional[BotBackchannel] = None
+        if (
+            self.agent_config.use_backchannels
+            and not bot_was_in_medias_res
+            and self.should_backchannel(human_input)
+        ):
+            backchannel = self.choose_backchannel()
+        elif self.agent_config.first_response_filler_message and self.is_first_response():
+            backchannel = BotBackchannel(text=self.agent_config.first_response_filler_message)
+
+        if backchannel is not None:
+            # The LLM needs the backchannel context manually - otherwise we're in a race condition
+            # between sending the response and generating ChatGPT's response
+            openai_chat_messages.append({"role": "assistant", "content": backchannel.text})
+            yield GeneratedResponse(
+                message=backchannel,
+                is_interruptible=True,
+            )
+            backchannelled = "true"
+
+        span_tags = sentry_span_tags.value
+        if span_tags:
+            span_tags["prior_backchannel"] = backchannelled
+            sentry_span_tags.set(span_tags)
+
+        first_sentence_total_span = sentry_create_span(
+            sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.LLM_FIRST_SENTENCE_TOTAL
+        )
+
+        ttft_span = sentry_create_span(
+            sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.TIME_TO_FIRST_TOKEN
+        )
+
+        stream = await self._create_openai_stream(chat_parameters)
+
+        response_generator = collate_response_async
+        using_input_streaming_synthesizer = (
+            self.conversation_state_manager.using_input_streaming_synthesizer()
+        )
+        if using_input_streaming_synthesizer:
+            response_generator = stream_response_async
+        async for message in response_generator(
+            conversation_id=conversation_id,
+            gen=openai_get_tokens(
+                stream,
+            ),
+            get_functions=True,
+            sentry_span=ttft_span,
         ):
-            yield message
+            if first_sentence_total_span:
+                first_sentence_total_span.finish()
+
+            ResponseClass = (
+                StreamedResponse if using_input_streaming_synthesizer else GeneratedResponse
+            )
+            MessageType = LLMToken if using_input_streaming_synthesizer else BaseMessage
+            if isinstance(message, str):
+                yield ResponseClass(
+                    message=MessageType(text=message),
+                    is_interruptible=True,
+                )
+            else:
+                yield ResponseClass(
+                    message=message,
+                    is_interruptible=True,
+                )
+
+    async def terminate(self):
+        if hasattr(self, "vector_db") and self.vector_db is not None:
+            await self.vector_db.tear_down()
+        return await super().terminate()
diff --git a/vocode/streaming/agent/default_factory.py b/vocode/streaming/agent/default_factory.py
new file mode 100644
index 0000000000..7a05c842af
--- /dev/null
+++ b/vocode/streaming/agent/default_factory.py
@@ -0,0 +1,26 @@
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.agent.anthropic_agent import AnthropicAgent
+from vocode.streaming.agent.base_agent import BaseAgent
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.agent.echo_agent import EchoAgent
+from vocode.streaming.agent.restful_user_implemented_agent import RESTfulUserImplementedAgent
+from vocode.streaming.models.agent import (
+    AgentConfig,
+    AnthropicAgentConfig,
+    ChatGPTAgentConfig,
+    EchoAgentConfig,
+    RESTfulUserImplementedAgentConfig,
+)
+
+
+class DefaultAgentFactory(AbstractAgentFactory):
+    def create_agent(self, agent_config: AgentConfig) -> BaseAgent:
+        if isinstance(agent_config, ChatGPTAgentConfig):
+            return ChatGPTAgent(agent_config=agent_config)
+        elif isinstance(agent_config, EchoAgentConfig):
+            return EchoAgent(agent_config=agent_config)
+        elif isinstance(agent_config, RESTfulUserImplementedAgentConfig):
+            return RESTfulUserImplementedAgent(agent_config=agent_config)
+        elif isinstance(agent_config, AnthropicAgentConfig):
+            return AnthropicAgent(agent_config=agent_config)
+        raise Exception("Invalid agent config", agent_config.type)
diff --git a/vocode/streaming/agent/echo_agent.py b/vocode/streaming/agent/echo_agent.py
index 103356652b..0109257738 100644
--- a/vocode/streaming/agent/echo_agent.py
+++ b/vocode/streaming/agent/echo_agent.py
@@ -1,6 +1,8 @@
-from typing import AsyncGenerator, Generator, Optional, Tuple
-from vocode.streaming.agent.base_agent import BaseAgent, RespondAgent
+from typing import AsyncGenerator, Tuple
+
+from vocode.streaming.agent.base_agent import GeneratedResponse, RespondAgent
 from vocode.streaming.models.agent import EchoAgentConfig
+from vocode.streaming.models.message import BaseMessage
 
 
 class EchoAgent(RespondAgent[EchoAgentConfig]):
@@ -17,8 +19,9 @@ async def generate_response(
         human_input,
         conversation_id: str,
         is_interrupt: bool = False,
-    ) -> AsyncGenerator[str, None]:
-        yield human_input
+        bot_was_in_medias_res: bool = False,
+    ) -> AsyncGenerator[GeneratedResponse, None]:
+        yield GeneratedResponse(message=BaseMessage(text=human_input), is_interruptible=True)
 
     def update_last_bot_message_on_cut_off(self, message: str):
         pass
diff --git a/vocode/streaming/agent/factory.py b/vocode/streaming/agent/factory.py
deleted file mode 100644
index 3cd0f162f4..0000000000
--- a/vocode/streaming/agent/factory.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import logging
-from typing import Optional
-import typing
-from vocode.streaming.agent.anthropic_agent import ChatAnthropicAgent
-from vocode.streaming.agent.base_agent import BaseAgent
-from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
-from vocode.streaming.agent.echo_agent import EchoAgent
-from vocode.streaming.agent.information_retrieval_agent import InformationRetrievalAgent
-from vocode.streaming.agent.llm_agent import LLMAgent
-from vocode.streaming.agent.restful_user_implemented_agent import (
-    RESTfulUserImplementedAgent,
-)
-from vocode.streaming.agent.llamacpp_agent import LlamacppAgent
-from vocode.streaming.models.agent import (
-    AgentConfig,
-    AgentType,
-    ChatAnthropicAgentConfig,
-    ChatGPTAgentConfig,
-    EchoAgentConfig,
-    InformationRetrievalAgentConfig,
-    LLMAgentConfig,
-    RESTfulUserImplementedAgentConfig,
-    LlamacppAgentConfig
-)
-
-
-class AgentFactory:
-    def create_agent(
-        self, agent_config: AgentConfig, logger: Optional[logging.Logger] = None
-    ) -> BaseAgent:
-        if isinstance(agent_config, LLMAgentConfig):
-            return LLMAgent(agent_config=agent_config, logger=logger)
-        elif isinstance(agent_config, ChatGPTAgentConfig):
-            return ChatGPTAgent(agent_config=agent_config, logger=logger)
-        elif isinstance(agent_config, EchoAgentConfig):
-            return EchoAgent(agent_config=agent_config, logger=logger)
-        elif isinstance(agent_config, InformationRetrievalAgentConfig):
-            return InformationRetrievalAgent(agent_config=agent_config, logger=logger)
-        elif isinstance(agent_config, RESTfulUserImplementedAgentConfig):
-            return RESTfulUserImplementedAgent(agent_config=agent_config, logger=logger)
-        elif isinstance(agent_config, ChatAnthropicAgentConfig):
-            return ChatAnthropicAgent(agent_config=agent_config, logger=logger)
-        elif isinstance(agent_config, LlamacppAgentConfig):
-            return LlamacppAgent(agent_config=agent_config, logger=logger)
-        raise Exception("Invalid agent config", agent_config.type)
diff --git a/vocode/streaming/agent/goodbye.py b/vocode/streaming/agent/goodbye.py
new file mode 100644
index 0000000000..840469c801
--- /dev/null
+++ b/vocode/streaming/agent/goodbye.py
@@ -0,0 +1,13 @@
+import re
+from typing import List, Optional
+
+_GOODBYE_PHRASES = [
+    "bye",
+]
+
+
+def is_goodbye_simple(message: str, phrases: Optional[List[str]]):
+    if not phrases:
+        phrases = _GOODBYE_PHRASES
+    cleaned = re.sub(r"[^\w\s]", "", message.lower())
+    return any(phrase in cleaned for phrase in phrases)
diff --git a/vocode/streaming/agent/gpt4all_agent.py b/vocode/streaming/agent/gpt4all_agent.py
index 3847190c69..f87d8d24f9 100644
--- a/vocode/streaming/agent/gpt4all_agent.py
+++ b/vocode/streaming/agent/gpt4all_agent.py
@@ -1,8 +1,11 @@
 from typing import Optional, Tuple
-from vocode.streaming.agent.base_agent import BaseAgent, RespondAgent
+
+from vocode.streaming.agent.base_agent import RespondAgent
 from vocode.streaming.models.agent import GPT4AllAgentConfig
 from vocode.turn_based.agent.gpt4all_agent import GPT4AllAgent as TurnBasedGPT4AllAgent
 
+raise DeprecationWarning("This Agent is deprecated and will be removed in the future.")
+
 
 class GPT4AllAgent(RespondAgent[GPT4AllAgentConfig]):
     def __init__(self, agent_config: GPT4AllAgentConfig):
@@ -10,9 +13,9 @@ def __init__(self, agent_config: GPT4AllAgentConfig):
         self.turn_based_agent = TurnBasedGPT4AllAgent(
             model_path=agent_config.model_path,
             system_prompt=agent_config.prompt_preamble,
-            initial_message=agent_config.initial_message.text
-            if agent_config.initial_message
-            else None,
+            initial_message=(
+                agent_config.initial_message.text if agent_config.initial_message else None
+            ),
         )
 
     async def respond(
diff --git a/vocode/streaming/agent/groq_agent.py b/vocode/streaming/agent/groq_agent.py
new file mode 100644
index 0000000000..bd4a170396
--- /dev/null
+++ b/vocode/streaming/agent/groq_agent.py
@@ -0,0 +1,236 @@
+import os
+import random
+from typing import Any, AsyncGenerator, Dict, List, Optional, TypeVar, Union
+
+import sentry_sdk
+from groq import AsyncGroq
+from loguru import logger
+
+from vocode import sentry_span_tags
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.default_factory import DefaultActionFactory
+from vocode.streaming.agent.base_agent import GeneratedResponse, RespondAgent, StreamedResponse
+from vocode.streaming.agent.openai_utils import (
+    get_openai_chat_messages_from_transcript,
+    merge_event_logs,
+    openai_get_tokens,
+    vector_db_result_to_openai_chat_message,
+)
+from vocode.streaming.agent.streaming_utils import collate_response_async, stream_response_async
+from vocode.streaming.models.actions import FunctionCallActionTrigger
+from vocode.streaming.models.agent import GroqAgentConfig
+from vocode.streaming.models.events import Sender
+from vocode.streaming.models.message import BaseMessage, BotBackchannel, LLMToken
+from vocode.streaming.models.transcript import EventLog, Message, Transcript
+from vocode.streaming.vector_db.factory import VectorDBFactory
+from vocode.utils.sentry_utils import CustomSentrySpans, sentry_create_span
+
+
+class GroqAgent(RespondAgent[GroqAgentConfig]):
+    groq_client: AsyncGroq
+
+    def __init__(
+        self,
+        agent_config: GroqAgentConfig,
+        action_factory: AbstractActionFactory = DefaultActionFactory(),
+        vector_db_factory=VectorDBFactory(),
+        **kwargs,
+    ):
+        super().__init__(
+            agent_config=agent_config,
+            action_factory=action_factory,
+            **kwargs,
+        )
+        self.groq_client = AsyncGroq(api_key=os.environ.get("GROQ_API_KEY"))
+
+        if not self.groq_client.api_key:
+            raise ValueError("GROQ_API_KEY must be set in environment or passed in")
+
+        if self.agent_config.vector_db_config:
+            self.vector_db = vector_db_factory.create_vector_db(self.agent_config.vector_db_config)
+
+    def get_functions(self):
+        assert self.agent_config.actions
+        if not self.action_factory:
+            return None
+        return [
+            self.action_factory.create_action(action_config).get_openai_function()
+            for action_config in self.agent_config.actions
+            if isinstance(action_config.action_trigger, FunctionCallActionTrigger)
+        ]
+
+    def format_groq_chat_messages_from_transcript(
+        self,
+        transcript: Transcript,
+        prompt_preamble: str,
+    ) -> List[dict]:
+        # merge consecutive bot messages
+        merged_event_logs: List[EventLog] = merge_event_logs(event_logs=transcript.event_logs)
+
+        chat_messages: List[Dict[str, Optional[Any]]]
+        chat_messages = get_openai_chat_messages_from_transcript(
+            merged_event_logs=merged_event_logs,
+            prompt_preamble=prompt_preamble,
+        )
+
+        return chat_messages
+
+    def get_chat_parameters(self, messages: Optional[List] = None, use_functions: bool = True):
+        assert self.transcript is not None
+
+        messages = messages or self.format_groq_chat_messages_from_transcript(
+            self.transcript,
+            self.agent_config.prompt_preamble,
+        )
+
+        parameters: Dict[str, Any] = {
+            "messages": messages,
+            "max_tokens": self.agent_config.max_tokens,
+            "temperature": self.agent_config.temperature,
+            "model": self.agent_config.model_name,
+        }
+
+        if use_functions and self.functions:
+            parameters["functions"] = self.functions
+
+        return parameters
+
+    async def _create_groq_stream(self, chat_parameters: Dict[str, Any]) -> AsyncGenerator:
+        try:
+            stream = await self.groq_client.chat.completions.create(**chat_parameters)
+        except Exception as e:
+            logger.error(
+                f"Error while hitting Groq with chat_parameters: {chat_parameters}",
+                exc_info=True,
+            )
+            raise e
+        return stream
+
+    def should_backchannel(self, human_input: str) -> bool:
+        return (
+            not self.is_first_response()
+            and not human_input.strip().endswith("?")
+            and random.random() < self.agent_config.backchannel_probability
+        )
+
+    def choose_backchannel(self) -> Optional[BotBackchannel]:
+        backchannel = None
+        if self.transcript is not None:
+            last_bot_message: Optional[Message] = None
+            for event_log in self.transcript.event_logs[::-1]:
+                if isinstance(event_log, Message) and event_log.sender == Sender.BOT:
+                    last_bot_message = event_log
+                    break
+            if last_bot_message and last_bot_message.text.strip().endswith("?"):
+                return BotBackchannel(text=self.post_question_bot_backchannel_randomizer())
+        return backchannel
+
+    async def generate_response(
+        self,
+        human_input: str,
+        conversation_id: str,
+        is_interrupt: bool = False,
+        bot_was_in_medias_res: bool = False,
+    ) -> AsyncGenerator[GeneratedResponse, None]:
+        assert self.transcript is not None
+
+        chat_parameters = {}
+        if self.agent_config.vector_db_config:
+            try:
+                docs_with_scores = await self.vector_db.similarity_search_with_score(
+                    self.transcript.get_last_user_message()[1]
+                )
+                docs_with_scores_str = "\n\n".join(
+                    [
+                        "Document: "
+                        + doc[0].metadata["source"]
+                        + f" (Confidence: {doc[1]})\n"
+                        + doc[0].lc_kwargs["page_content"].replace(r"\n", "\n")
+                        for doc in docs_with_scores
+                    ]
+                )
+                vector_db_result = (
+                    f"Found {len(docs_with_scores)} similar documents:\n{docs_with_scores_str}"
+                )
+                messages = self.format_groq_chat_messages_from_transcript(
+                    self.transcript,
+                    self.agent_config.prompt_preamble,
+                )
+                messages.insert(-1, vector_db_result_to_openai_chat_message(vector_db_result))
+                chat_parameters = self.get_chat_parameters(messages)
+            except Exception as e:
+                logger.error(f"Error while hitting vector db: {e}", exc_info=True)
+                chat_parameters = self.get_chat_parameters()
+        else:
+            chat_parameters = self.get_chat_parameters()
+        chat_parameters["stream"] = True
+
+        groq_chat_messages: List = chat_parameters.get("messages", [])
+
+        backchannelled = "false"
+        backchannel: Optional[BotBackchannel] = None
+        if (
+            self.agent_config.use_backchannels
+            and not bot_was_in_medias_res
+            and self.should_backchannel(human_input)
+        ):
+            backchannel = self.choose_backchannel()
+        elif self.agent_config.first_response_filler_message and self.is_first_response():
+            backchannel = BotBackchannel(text=self.agent_config.first_response_filler_message)
+
+        if backchannel is not None:
+            # The LLM needs the backchannel context manually - otherwise we're in a race condition
+            # between sending the response and generating Groq's response
+            groq_chat_messages.append({"role": "assistant", "content": backchannel.text})
+            yield GeneratedResponse(
+                message=backchannel,
+                is_interruptible=True,
+            )
+            backchannelled = "true"
+
+        span_tags = sentry_span_tags.value
+        if span_tags:
+            span_tags["prior_backchannel"] = backchannelled
+            sentry_span_tags.set(span_tags)
+
+        first_sentence_total_span = sentry_create_span(
+            sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.LLM_FIRST_SENTENCE_TOTAL
+        )
+
+        ttft_span = sentry_create_span(
+            sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.TIME_TO_FIRST_TOKEN
+        )
+
+        stream = await self._create_groq_stream(chat_parameters)
+
+        response_generator = collate_response_async
+        using_input_streaming_synthesizer = (
+            self.conversation_state_manager.using_input_streaming_synthesizer()
+        )
+        if using_input_streaming_synthesizer:
+            response_generator = stream_response_async
+        async for message in response_generator(
+            conversation_id=conversation_id,
+            gen=openai_get_tokens(
+                stream,
+            ),
+            get_functions=True,
+            sentry_span=ttft_span,
+        ):
+            if first_sentence_total_span:
+                first_sentence_total_span.finish()
+
+            ResponseClass = (
+                StreamedResponse if using_input_streaming_synthesizer else GeneratedResponse
+            )
+            MessageType = LLMToken if using_input_streaming_synthesizer else BaseMessage
+            if isinstance(message, str):
+                yield ResponseClass(
+                    message=MessageType(text=message),
+                    is_interruptible=True,
+                )
+            else:
+                yield ResponseClass(
+                    message=message,
+                    is_interruptible=True,
+                )
diff --git a/vocode/streaming/agent/information_retrieval_agent.py b/vocode/streaming/agent/information_retrieval_agent.py
deleted file mode 100644
index 3bfb8861f5..0000000000
--- a/vocode/streaming/agent/information_retrieval_agent.py
+++ /dev/null
@@ -1,34 +0,0 @@
-import logging
-from typing import List, Optional
-
-from langchain import OpenAI
-from vocode.streaming.agent.llm_agent import LLMAgent
-from ..models.agent import InformationRetrievalAgentConfig, LLMAgentConfig
-
-
-class InformationRetrievalAgent(LLMAgent):
-    def __init__(
-        self,
-        agent_config: InformationRetrievalAgentConfig,
-        logger: Optional[logging.Logger] = None,
-    ):
-        # super().__init__(agent_config, logger)
-        prompt_preamble = f"""
-        The AI is a friendly phone bot built for information retrieval. It understands IVR navigation and chooses which numbers to press based on the intended goal and the options provided.
-Once it reaches the human, it verifies the identity of the person it is trying to reach and states its purpose. If it needs to be transferred, then the AI asks to speak to the intended recipient of the phone call.
-
-Here is the context for the call:
-Intended goal: { agent_config.goal_description }
-Intended recipient: { agent_config.recipient_descriptor }
-Information to be collected: { agent_config.fields }
-Information to provide to the person who answers the phone: this is a robot calling on behalf of { agent_config.caller_descriptor }
-
-The AI begins the call by introducing itself and who it represents.
-        """
-        super().__init__(
-            LLMAgentConfig(
-                prompt_preamble=prompt_preamble,
-            ),
-            logger=logger,
-        )
-        self.llm = OpenAI(model_name="text-davinci-003", temperature=1)  # type: ignore
diff --git a/vocode/streaming/agent/langchain_agent.py b/vocode/streaming/agent/langchain_agent.py
new file mode 100644
index 0000000000..9e41ea03e8
--- /dev/null
+++ b/vocode/streaming/agent/langchain_agent.py
@@ -0,0 +1,144 @@
+from typing import AsyncGenerator, AsyncIterator, Optional
+
+import sentry_sdk
+from langchain.chat_models import init_chat_model
+from langchain_core.messages.base import BaseMessage as LangchainBaseMessage
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.runnables.base import Runnable
+from loguru import logger
+
+from vocode.streaming.action.abstract_factory import AbstractActionFactory
+from vocode.streaming.action.default_factory import DefaultActionFactory
+from vocode.streaming.agent.anthropic_utils import merge_bot_messages_for_langchain
+from vocode.streaming.agent.base_agent import GeneratedResponse, RespondAgent, StreamedResponse
+from vocode.streaming.agent.streaming_utils import collate_response_async, stream_response_async
+from vocode.streaming.models.agent import LangchainAgentConfig
+from vocode.streaming.models.events import Sender
+from vocode.streaming.models.message import BaseMessage, LLMToken
+from vocode.streaming.models.transcript import Message
+from vocode.utils.sentry_utils import CustomSentrySpans, sentry_create_span
+
+
+class LangchainAgent(RespondAgent[LangchainAgentConfig]):
+
+    def __init__(
+        self,
+        agent_config: LangchainAgentConfig,
+        action_factory: AbstractActionFactory = DefaultActionFactory(),
+        chain: Optional[Runnable] = None,
+        **kwargs,
+    ):
+        super().__init__(
+            agent_config=agent_config,
+            action_factory=action_factory,
+            **kwargs,
+        )
+        self.chain = chain if chain else self.create_chain()
+
+    def create_chain(self):
+        model = init_chat_model(
+            model=self.agent_config.model_name,
+            model_provider=self.agent_config.provider,
+            temperature=self.agent_config.temperature,
+            max_tokens=self.agent_config.max_tokens,
+        )
+        messages_for_prompt_template = [("placeholder", "{chat_history}")]
+        if self.agent_config.prompt_preamble:
+            messages_for_prompt_template.insert(0, ("system", self.agent_config.prompt_preamble))
+        prompt_template = ChatPromptTemplate.from_messages(messages_for_prompt_template)
+        chain = prompt_template | model
+        return chain
+
+    async def token_generator(
+        self,
+        gen: AsyncIterator[LangchainBaseMessage],
+    ) -> AsyncGenerator[str, None]:
+        async for chunk in gen:
+            if isinstance(chunk.content, str):
+                yield chunk.content
+            else:
+                raise ValueError(
+                    f"Received unexpected message type {type(chunk)} from Langchain. Expected str."
+                )
+
+    def format_langchain_messages_from_transcript(self) -> list[tuple]:
+        if not self.transcript:
+            raise ValueError("A transcript is not attached to the agent")
+        messages = []
+        for event_log in self.transcript.event_logs:
+            if isinstance(event_log, Message):
+                messages.append(
+                    (
+                        "ai" if event_log.sender == Sender.BOT else "human",
+                        event_log.to_string(include_sender=False),
+                    )
+                )
+            else:
+                raise ValueError(
+                    f"Invalid event log type {type(event_log)}. Langchain currently only supports human and bot messages"
+                )
+
+        if self.agent_config.provider == "anthropic":
+            messages = merge_bot_messages_for_langchain(messages)
+
+        return messages
+
+    async def generate_response(
+        self,
+        human_input,
+        conversation_id: str,
+        is_interrupt: bool = False,
+        bot_was_in_medias_res: bool = False,
+    ) -> AsyncGenerator[GeneratedResponse, None]:
+        if not self.transcript:
+            raise ValueError("A transcript is not attached to the agent")
+        try:
+            first_sentence_total_span = sentry_create_span(
+                sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.LLM_FIRST_SENTENCE_TOTAL
+            )
+
+            ttft_span = sentry_create_span(
+                sentry_callable=sentry_sdk.start_span, op=CustomSentrySpans.TIME_TO_FIRST_TOKEN
+            )
+            stream = self.chain.astream(
+                {"chat_history": self.format_langchain_messages_from_transcript()}
+            )
+        except Exception as e:
+            logger.error(
+                f"Error while hitting Langchain",
+                exc_info=True,
+            )
+            raise e
+
+        response_generator = collate_response_async
+
+        using_input_streaming_synthesizer = (
+            self.conversation_state_manager.using_input_streaming_synthesizer()
+        )
+        if using_input_streaming_synthesizer:
+            response_generator = stream_response_async
+        async for message in response_generator(
+            conversation_id=conversation_id,
+            gen=self.token_generator(
+                stream,
+            ),
+            sentry_span=ttft_span,
+        ):
+            if first_sentence_total_span:
+                first_sentence_total_span.finish()
+
+            ResponseClass = (
+                StreamedResponse if using_input_streaming_synthesizer else GeneratedResponse
+            )
+            MessageType = LLMToken if using_input_streaming_synthesizer else BaseMessage
+
+            if isinstance(message, str):
+                yield ResponseClass(
+                    message=MessageType(text=message),
+                    is_interruptible=True,
+                )
+            else:
+                yield ResponseClass(
+                    message=message,
+                    is_interruptible=True,
+                )
diff --git a/vocode/streaming/agent/llamacpp_agent.py b/vocode/streaming/agent/llamacpp_agent.py
index 10c88566fc..efd565f9d4 100644
--- a/vocode/streaming/agent/llamacpp_agent.py
+++ b/vocode/streaming/agent/llamacpp_agent.py
@@ -1,148 +1,121 @@
-from concurrent.futures import ThreadPoolExecutor
-import asyncio
-import logging
-from typing import AsyncGenerator, Optional, Tuple, Any, Union
-import typing
-from langchain import ConversationChain
-from vocode.streaming.agent.base_agent import RespondAgent
-from vocode.streaming.models.agent import LlamacppAgentConfig
-from vocode.streaming.agent.utils import collate_response_async
-from langchain.callbacks.base import BaseCallbackHandler
-from langchain.callbacks.manager import CallbackManager
-from langchain.llms import LlamaCpp
-from langchain.prompts import (
-    ChatPromptTemplate,
-    MessagesPlaceholder,
-    HumanMessagePromptTemplate,
-)
-from pydantic import BaseModel
-from langchain.schema import LLMResult, SystemMessage, get_buffer_string
-from langchain.memory import ConversationBufferMemory
-from langchain.prompts import (
-    ChatPromptTemplate,
-    MessagesPlaceholder,
-    HumanMessagePromptTemplate,
-    PromptTemplate,
-)
-from langchain.prompts.base import DEFAULT_FORMATTER_MAPPING
-
-ALPACA_TEMPLATE_WITH_HISTORY = """### Instruction:
-Your previous conversation history:
-{history}
-
-Current instruction/message to respond to: {input}
-### Response:"""
-
-
-class CallbackOutput(BaseModel):
-    finish: bool = False
-    response: Optional[LLMResult] = None
-    token: str = ""
-
-
-class FormatHistoryPromptTemplate(PromptTemplate):
-    def format(self, **kwargs: Any) -> str:
-        kwargs = self._merge_partial_and_user_variables(**kwargs)
-        kwargs["history"] = get_buffer_string(kwargs["history"])
-        return DEFAULT_FORMATTER_MAPPING[self.template_format](self.template, **kwargs)
-
-
-class CustomStreamingCallbackHandler(BaseCallbackHandler):
-    def __init__(self, output_queue: asyncio.Queue) -> None:
-        super().__init__()
-        self.output_queue = output_queue
-
-    def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
-        """Run on new LLM token. Only available when streaming is enabled."""
-        self.output_queue.put_nowait(CallbackOutput(token=token))
-
-    def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
-        """Run when LLM ends running."""
-        self.output_queue.put_nowait(CallbackOutput(finish=True, response=response))
-
-
-class LlamacppAgent(RespondAgent[LlamacppAgentConfig]):
-    def __init__(
-        self,
-        agent_config: LlamacppAgentConfig,
-        logger: Optional[logging.Logger] = None,
-    ):
-        super().__init__(agent_config=agent_config, logger=logger)
-
-        self.prompt: Union[PromptTemplate, ChatPromptTemplate]
-        if type(agent_config.prompt_template) is str:
-            if agent_config.prompt_template == "alpaca":
-                self.prompt = FormatHistoryPromptTemplate(
-                    input_variables=["history", "input"],
-                    template=ALPACA_TEMPLATE_WITH_HISTORY,
-                )
-            else:
-                raise ValueError(
-                    f"Unknown prompt template {agent_config.prompt_template}"
-                )
-        else:
-            if agent_config.prompt_template is None:
-                self.prompt = ChatPromptTemplate.from_messages(
-                    [
-                        MessagesPlaceholder(variable_name="history"),
-                        HumanMessagePromptTemplate.from_template("{input}"),
-                    ]
-                )
-            else:
-                self.promt = typing.cast(PromptTemplate, agent_config.prompt_template)
-
-        self.callback_queue: asyncio.Queue = asyncio.Queue()
-        callback = CustomStreamingCallbackHandler(self.callback_queue)
-        callback_manager = CallbackManager([callback])
-        self.llm = LlamaCpp(
-            callback_manager=callback_manager, **agent_config.llamacpp_kwargs
-        )
-
-        self.memory = ConversationBufferMemory(return_messages=True)
-        self.memory.chat_memory.messages.append(
-            SystemMessage(content=self.agent_config.prompt_preamble)
-        )
-
-        self.conversation = ConversationChain(
-            memory=self.memory, prompt=self.prompt, llm=self.llm
-        )
-        self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
-
-    async def respond(
-        self,
-        human_input,
-        conversation_id: str,
-        is_interrupt: bool = False,
-    ) -> Tuple[str, bool]:
-        text = await asyncio.get_event_loop().run_in_executor(
-            self.thread_pool_executor,
-            lambda input: self.conversation.predict(input=input),
-            human_input,
-        )
-
-        self.logger.debug(f"LLM response: {text}")
-        return text, False
-
-    async def llamacpp_get_tokens(self):
-        while True:
-            callback_output = await self.callback_queue.get()
-            if callback_output.finish:
-                break
-            yield callback_output.token
-
-    async def generate_response(
-        self,
-        human_input: str,
-        conversation_id: str,
-        is_interrupt: bool = False,
-    ) -> AsyncGenerator[str, None]:
-        asyncio.get_event_loop().run_in_executor(
-            self.thread_pool_executor,
-            lambda input: self.conversation.predict(input=input),
-            human_input,
-        )
-
-        async for message in collate_response_async(
-            self.llamacpp_get_tokens(),
-        ):
-            yield str(message)
+raise DeprecationWarning("This Agent is deprecated and will be removed in the future.")
+
+# OLD CONFIG BELOW
+# class LlamacppAgentConfig(AgentConfig, type=AgentType.LLAMACPP.value):  # type: ignore
+#     prompt_preamble: str
+#     llamacpp_kwargs: dict = {}
+#     prompt_template: Optional[Union["PromptTemplate", str]] = None
+
+# ALPACA_TEMPLATE_WITH_HISTORY = """### Instruction:
+# Your previous conversation history:
+# {history}
+
+# Current instruction/message to respond to: {input}
+# ### Response:"""
+
+
+# class CallbackOutput(BaseModel):
+#     finish: bool = False
+#     response: Optional[LLMResult] = None
+#     token: str = ""
+
+
+# class FormatHistoryPromptTemplate(PromptTemplate):
+#     def format(self, **kwargs: Any) -> str:
+#         kwargs = self._merge_partial_and_user_variables(**kwargs)
+#         kwargs["history"] = get_buffer_string(kwargs["history"])
+#         return DEFAULT_FORMATTER_MAPPING[self.template_format](self.template, **kwargs)
+
+
+# class CustomStreamingCallbackHandler(BaseCallbackHandler):
+#     def __init__(self, output_queue: asyncio.Queue) -> None:
+#         super().__init__()
+#         self.output_queue = output_queue
+
+#     def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
+#         """Run on new LLM token. Only available when streaming is enabled."""
+#         self.output_queue.put_nowait(CallbackOutput(token=token))
+
+#     def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
+#         """Run when LLM ends running."""
+#         self.output_queue.put_nowait(CallbackOutput(finish=True, response=response))
+
+
+# class LlamacppAgent(RespondAgent[LlamacppAgentConfig]):
+#     def __init__(
+#         self,
+#         agent_config: LlamacppAgentConfig,
+#     ):
+#         super().__init__(agent_config=agent_config)
+
+#         self.prompt: Union[PromptTemplate, ChatPromptTemplate]
+#         if type(agent_config.prompt_template) is str:
+#             if agent_config.prompt_template == "alpaca":
+#                 self.prompt = FormatHistoryPromptTemplate(
+#                     input_variables=["history", "input"],
+#                     template=ALPACA_TEMPLATE_WITH_HISTORY,
+#                 )
+#             else:
+#                 raise ValueError(f"Unknown prompt template {agent_config.prompt_template}")
+#         else:
+#             if agent_config.prompt_template is None:
+#                 self.prompt = ChatPromptTemplate.from_messages(
+#                     [
+#                         MessagesPlaceholder(variable_name="history"),
+#                         HumanMessagePromptTemplate.from_template("{input}"),
+#                     ]
+#                 )
+#             else:
+#                 self.promt = typing.cast(PromptTemplate, agent_config.prompt_template)
+
+#         self.callback_queue: asyncio.Queue = asyncio.Queue()
+#         callback = CustomStreamingCallbackHandler(self.callback_queue)
+#         callback_manager = CallbackManager([callback])
+#         self.llm = LlamaCpp(callback_manager=callback_manager, **agent_config.llamacpp_kwargs)
+
+#         self.memory = ConversationBufferMemory(return_messages=True)
+#         self.memory.chat_memory.messages.append(
+#             SystemMessage(content=self.agent_config.prompt_preamble)
+#         )
+
+#         self.conversation = ConversationChain(memory=self.memory, prompt=self.prompt, llm=self.llm)
+#         self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
+
+#     async def respond(
+#         self,
+#         human_input,
+#         conversation_id: str,
+#         is_interrupt: bool = False,
+#     ) -> Tuple[str, bool]:
+#         text = await asyncio.get_event_loop().run_in_executor(
+#             self.thread_pool_executor,
+#             lambda input: self.conversation.predict(input=input),
+#             human_input,
+#         )
+
+#         logger.debug(f"LLM response: {text}")
+#         return text, False
+
+#     async def llamacpp_get_tokens(self):
+#         while True:
+#             callback_output = await self.callback_queue.get()
+#             if callback_output.finish:
+#                 break
+#             yield callback_output.token
+
+#     async def generate_response(
+#         self,
+#         human_input: str,
+#         conversation_id: str,
+#         is_interrupt: bool = False,
+#     ) -> AsyncGenerator[Tuple[str, bool], None]:
+#         asyncio.get_event_loop().run_in_executor(
+#             self.thread_pool_executor,
+#             lambda input: self.conversation.predict(input=input),
+#             human_input,
+#         )
+
+#         async for message in collate_response_async(
+#             self.llamacpp_get_tokens(),
+#         ):
+#             yield str(message), True
diff --git a/vocode/streaming/agent/llm_agent.py b/vocode/streaming/agent/llm_agent.py
deleted file mode 100644
index 5f2ccf9c69..0000000000
--- a/vocode/streaming/agent/llm_agent.py
+++ /dev/null
@@ -1,156 +0,0 @@
-import re
-from typing import AsyncGenerator, Optional, Tuple
-
-from langchain import OpenAI
-from typing import Generator
-import logging
-
-import openai
-from vocode import getenv
-
-from vocode.streaming.agent.base_agent import BaseAgent, RespondAgent
-from vocode.streaming.agent.utils import collate_response_async, openai_get_tokens
-from vocode.streaming.models.agent import LLMAgentConfig
-
-
-class LLMAgent(RespondAgent[LLMAgentConfig]):
-    SENTENCE_ENDINGS = [".", "!", "?"]
-
-    DEFAULT_PROMPT_TEMPLATE = "{history}\nHuman: {human_input}\nAI:"
-
-    def __init__(
-        self,
-        agent_config: LLMAgentConfig,
-        logger: Optional[logging.Logger] = None,
-        sender="AI",
-        recipient="Human",
-        openai_api_key: Optional[str] = None,
-    ):
-        super().__init__(agent_config)
-        self.prompt_template = (
-            f"{agent_config.prompt_preamble}\n\n{self.DEFAULT_PROMPT_TEMPLATE}"
-        )
-        self.initial_bot_message = (
-            agent_config.initial_message.text if agent_config.initial_message else None
-        )
-        self.logger = logger or logging.getLogger(__name__)
-        self.sender = sender
-        self.recipient = recipient
-        self.memory = (
-            [f"AI: {agent_config.initial_message.text}"]
-            if agent_config.initial_message
-            else []
-        )
-        openai_api_key = openai_api_key or getenv("OPENAI_API_KEY")
-        if not openai_api_key:
-            raise ValueError("OPENAI_API_KEY must be set in environment or passed in")
-        self.llm = OpenAI(  # type: ignore
-            model_name=self.agent_config.model_name,
-            temperature=self.agent_config.temperature,
-            max_tokens=self.agent_config.max_tokens,
-            openai_api_key=openai_api_key,
-        )
-        self.stop_tokens = [f"{recipient}:"]
-        self.first_response = (
-            self.llm(
-                self.prompt_template.format(
-                    history="", human_input=agent_config.expected_first_prompt
-                ),
-                stop=self.stop_tokens,
-            ).strip()
-            if agent_config.expected_first_prompt
-            else None
-        )
-        self.is_first_response = True
-
-    def create_prompt(self, human_input):
-        history = "\n".join(self.memory[-5:])
-        return self.prompt_template.format(history=history, human_input=human_input)
-
-    def get_memory_entry(self, human_input, response):
-        return f"{self.recipient}: {human_input}\n{self.sender}: {response}"
-
-    async def respond(
-        self,
-        human_input,
-        conversation_id: str,
-        is_interrupt: bool = False,
-    ) -> Tuple[str, bool]:
-        if is_interrupt and self.agent_config.cut_off_response:
-            cut_off_response = self.get_cut_off_response()
-            self.memory.append(self.get_memory_entry(human_input, cut_off_response))
-            return cut_off_response, False
-        self.logger.debug("LLM responding to human input")
-        if self.is_first_response and self.first_response:
-            self.logger.debug("First response is cached")
-            self.is_first_response = False
-            response = self.first_response
-        else:
-            response = (
-                (
-                    await self.llm.agenerate(
-                        [self.create_prompt(human_input)], stop=self.stop_tokens
-                    )
-                )
-                .generations[0][0]
-                .text
-            )
-            response = response.replace(f"{self.sender}:", "")
-        self.memory.append(self.get_memory_entry(human_input, response))
-        self.logger.debug(f"LLM response: {response}")
-        return response, False
-
-    async def _stream_sentences(self, prompt):
-        stream = await openai.Completion.acreate(
-            prompt=prompt,
-            max_tokens=self.agent_config.max_tokens,
-            temperature=self.agent_config.temperature,
-            model=self.agent_config.model_name,
-            stop=self.stop_tokens,
-            stream=True,
-        )
-        async for sentence in collate_response_async(
-            openai_get_tokens(gen=stream),
-        ):
-            yield sentence
-
-    async def _agen_from_list(self, l):
-        for item in l:
-            yield item
-
-    async def generate_response(
-        self,
-        human_input,
-        conversation_id: str,
-        is_interrupt: bool = False,
-    ) -> AsyncGenerator[str, None]:
-        self.logger.debug("LLM generating response to human input")
-        if is_interrupt and self.agent_config.cut_off_response:
-            cut_off_response = self.get_cut_off_response()
-            self.memory.append(self.get_memory_entry(human_input, cut_off_response))
-            yield cut_off_response
-            return
-        self.memory.append(self.get_memory_entry(human_input, ""))
-        if self.is_first_response and self.first_response:
-            self.logger.debug("First response is cached")
-            self.is_first_response = False
-            sentences = self._agen_from_list([self.first_response])
-        else:
-            self.logger.debug("Creating LLM prompt")
-            prompt = self.create_prompt(human_input)
-            self.logger.debug("Streaming LLM response")
-            sentences = self._stream_sentences(prompt)
-        response_buffer = ""
-        async for sentence in sentences:
-            sentence = sentence.replace(f"{self.sender}:", "")
-            sentence = re.sub(r"^\s+(.*)", r" \1", sentence)
-            response_buffer += sentence
-            self.memory[-1] = self.get_memory_entry(human_input, response_buffer)
-            yield sentence
-
-    def update_last_bot_message_on_cut_off(self, message: str):
-        last_message = self.memory[-1]
-        new_last_message = (
-            last_message.split("\n", 1)[0] + f"\n{self.sender}: {message}"
-        )
-        self.memory[-1] = new_last_message
diff --git a/vocode/streaming/agent/openai_utils.py b/vocode/streaming/agent/openai_utils.py
new file mode 100644
index 0000000000..5264e68bd0
--- /dev/null
+++ b/vocode/streaming/agent/openai_utils.py
@@ -0,0 +1,179 @@
+from copy import deepcopy
+from typing import Any, AsyncGenerator, Dict, List, Optional, Union
+
+from loguru import logger
+from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
+
+from vocode.streaming.agent.token_utils import (
+    get_chat_gpt_max_tokens,
+    num_tokens_from_functions,
+    num_tokens_from_messages,
+)
+from vocode.streaming.models.actions import FunctionFragment, PhraseBasedActionTrigger
+from vocode.streaming.models.agent import LLM_AGENT_DEFAULT_MAX_TOKENS
+from vocode.streaming.models.events import Sender
+from vocode.streaming.models.transcript import (
+    ActionFinish,
+    ActionStart,
+    ConferenceEvent,
+    EventLog,
+    Message,
+    Transcript,
+)
+
+
+def vector_db_result_to_openai_chat_message(vector_db_result):
+    return {"role": "user", "content": vector_db_result}
+
+
+def is_phrase_based_action_event_log(event_log: EventLog) -> bool:
+    return (
+        (isinstance(event_log, ActionStart) or isinstance(event_log, ActionFinish))
+        and event_log.action_input is not None
+        and event_log.action_input.action_config is not None
+        and isinstance(
+            event_log.action_input.action_config.action_trigger, PhraseBasedActionTrigger
+        )
+    )
+
+
+def get_openai_chat_messages_from_transcript(
+    merged_event_logs: List[EventLog],
+    prompt_preamble: str,
+) -> List[dict]:
+    chat_messages = [{"role": "system", "content": prompt_preamble}]
+    for event_log in merged_event_logs:
+        if isinstance(event_log, Message):
+            if len(event_log.text.strip()) == 0:
+                continue
+            else:
+                chat_messages.append(
+                    {
+                        "role": ("assistant" if event_log.sender == Sender.BOT else "user"),
+                        "content": event_log.to_string(include_sender=False),
+                    },
+                )
+        elif isinstance(event_log, ActionStart):
+            action_message: Dict[str, Any]
+            if is_phrase_based_action_event_log(event_log=event_log):
+                pass
+            else:
+                action_message = {
+                    "role": "assistant",
+                    "content": None,
+                    "function_call": {
+                        "name": event_log.action_type,
+                        "arguments": event_log.action_input.params.json(),
+                    },
+                }
+                chat_messages.append(action_message)
+        elif isinstance(event_log, ActionFinish):
+            action_message = {
+                "role": "function",
+                "name": event_log.action_type,
+                "content": event_log.to_string(include_header=False),
+            }
+            chat_messages.append(action_message)
+        elif isinstance(event_log, ConferenceEvent):
+            chat_messages.append(
+                {"role": "user", "content": event_log.to_string(include_sender=False)},
+            )
+    return chat_messages
+
+
+def merge_event_logs(event_logs: List[EventLog]) -> List[EventLog]:
+    """Returns a new list of event logs where consecutive bot messages are merged."""
+    new_event_logs: List[EventLog] = []
+    idx = 0
+    while idx < len(event_logs):
+        bot_messages_buffer: List[Message] = []
+        current_log = event_logs[idx]
+        while isinstance(current_log, Message) and current_log.sender == Sender.BOT:
+            bot_messages_buffer.append(current_log)
+            idx += 1
+            try:
+                current_log = event_logs[idx]
+            except IndexError:
+                break
+        if bot_messages_buffer:
+            merged_bot_message = deepcopy(bot_messages_buffer[-1])
+            merged_bot_message.text = " ".join(event_log.text for event_log in bot_messages_buffer)
+            new_event_logs.append(merged_bot_message)
+        else:
+            new_event_logs.append(current_log)
+            idx += 1
+
+    return new_event_logs
+
+
+def format_openai_chat_messages_from_transcript(
+    transcript: Transcript,
+    model_name: str,
+    functions: Optional[List[Dict]],
+    prompt_preamble: str,
+) -> List[dict]:
+    # merge consecutive bot messages
+    merged_event_logs: List[EventLog] = merge_event_logs(event_logs=transcript.event_logs)
+
+    chat_messages: List[Dict[str, Optional[Any]]]
+    chat_messages = get_openai_chat_messages_from_transcript(
+        merged_event_logs=merged_event_logs,
+        prompt_preamble=prompt_preamble,
+    )
+
+    context_size = num_tokens_from_messages(
+        messages=chat_messages,
+        model=model_name,
+    ) + num_tokens_from_functions(functions=functions, model=model_name)
+
+    num_removed_messages = 0
+    while (
+        context_size > get_chat_gpt_max_tokens(model_name) - LLM_AGENT_DEFAULT_MAX_TOKENS - 50
+    ):  # context limit includes the max tokens, and 50 for safety
+        if len(chat_messages) <= 1:
+            logger.error(f"Prompt is too long to fit in context window, num tokens {context_size}")
+            break
+        num_removed_messages += 1
+        chat_messages.pop(1)
+        context_size = num_tokens_from_messages(
+            messages=chat_messages,
+            model=model_name,
+        ) + num_tokens_from_functions(functions=functions, model=model_name)
+
+    if num_removed_messages > 0:
+        logger.info(
+            "Removed %d messages from prompt to satisfy context limit",
+            num_removed_messages,
+        )
+
+    return chat_messages
+
+
+async def openai_get_tokens(
+    gen: AsyncGenerator[ChatCompletionChunk, None],
+) -> AsyncGenerator[Union[str, FunctionFragment], None]:
+    async for event in gen:
+        choices = event.choices
+        if len(choices) == 0:
+            continue
+        choice = choices[0]
+        if choice.finish_reason:
+            if choice.finish_reason == "content_filter":
+                logger.warning(
+                    "Detected content filter.",
+                    extra={"chat_completion_chunk": event.model_dump()},
+                )
+            break
+        delta = choice.delta
+        if delta.content is not None:
+            token = delta.content
+            yield token
+        elif delta.function_call is not None:
+            yield FunctionFragment(
+                name=(delta.function_call.name if delta.function_call.name is not None else ""),
+                arguments=(
+                    delta.function_call.arguments
+                    if delta.function_call.arguments is not None
+                    else ""
+                ),
+            )
diff --git a/vocode/streaming/agent/phrase_trigger.py b/vocode/streaming/agent/phrase_trigger.py
new file mode 100644
index 0000000000..fb106fb45b
--- /dev/null
+++ b/vocode/streaming/agent/phrase_trigger.py
@@ -0,0 +1,21 @@
+import re
+from typing import List, Optional
+
+from vocode.streaming.models.actions import ActionConfig, PhraseBasedActionTrigger
+
+
+def matches_phrase_trigger(
+    message: str,
+    action_configs: List[ActionConfig],
+) -> Optional[ActionConfig]:
+    cleaned = re.sub(r"[^\w\s]", "", message.lower())
+    for action_config in action_configs:
+        if not isinstance(action_config.action_trigger, PhraseBasedActionTrigger):
+            continue
+
+        for phrase_trigger in action_config.action_trigger.config.phrase_triggers:
+            lowered = phrase_trigger.phrase.lower()
+            for condition in phrase_trigger.conditions:
+                if condition == "phrase_condition_type_contains" and lowered in cleaned:
+                    return action_config
+    return None
diff --git a/vocode/streaming/agent/prompts/action_prompt.py b/vocode/streaming/agent/prompts/action_prompt.py
deleted file mode 100644
index df3c2378cf..0000000000
--- a/vocode/streaming/agent/prompts/action_prompt.py
+++ /dev/null
@@ -1,24 +0,0 @@
-ACTION_PROMPT_DEFAULT = """
-The assistant is on a live conversation with a human that is taking place via voice (eg via phone call). It is
-a helpful assistant that will help the human with their needs. In every response, the assistant does 2 things:
-- respond to the customer with a message
-- decide to take an appropriate action (or none, if it isn't necessary)
-
-The following are the possible actions the assistant can take:
-{actions}
-
-ALL of the assistant's responses should look like the following (and should include "Response", "Action", and "Action parameters"):
-
-Response: Yes! Let me look up that information for you.
-Action: look_up_information
-Action parameters: "parameter 1|parameter 2|parameter 3"
-
-If no action is necessary, the assistant responds with the message and leaves the action blank like so:
-
-Response: Hey! How can I help you today?
-Action:
-Action parameters:
-
-Here's the transcript so far:
-{transcript}
-"""
diff --git a/vocode/streaming/agent/restful_user_implemented_agent.py b/vocode/streaming/agent/restful_user_implemented_agent.py
index 126087dd07..02999617cd 100644
--- a/vocode/streaming/agent/restful_user_implemented_agent.py
+++ b/vocode/streaming/agent/restful_user_implemented_agent.py
@@ -1,29 +1,28 @@
-from .base_agent import BaseAgent, RespondAgent
-from ..models.agent import (
-    RESTfulUserImplementedAgentConfig,
+from typing import Optional, Tuple, cast
+
+import aiohttp
+from loguru import logger
+
+from vocode.streaming.agent.base_agent import RespondAgent
+from vocode.streaming.models.agent import (
     RESTfulAgentInput,
     RESTfulAgentOutput,
     RESTfulAgentOutputType,
     RESTfulAgentText,
+    RESTfulUserImplementedAgentConfig,
 )
-from typing import Generator, Optional, Tuple, cast
-import requests
-import logging
-import aiohttp
 
 
 class RESTfulUserImplementedAgent(RespondAgent[RESTfulUserImplementedAgentConfig]):
     def __init__(
         self,
         agent_config: RESTfulUserImplementedAgentConfig,
-        logger=None,
     ):
         super().__init__(agent_config)
         if self.agent_config.generate_responses:
             raise NotImplementedError(
                 "Use the WebSocket user implemented agent to stream responses"
             )
-        self.logger = logger or logging.getLogger(__name__)
 
     async def respond(
         self,
@@ -45,9 +44,7 @@ async def respond(
                     timeout=aiohttp.ClientTimeout(total=15),
                 ) as response:
                     assert response.status == 200
-                    output: RESTfulAgentOutput = RESTfulAgentOutput.parse_obj(
-                        await response.json()
-                    )
+                    output: RESTfulAgentOutput = RESTfulAgentOutput.parse_obj(await response.json())
                     output_response = None
                     should_stop = False
                     if output.type == RESTfulAgentOutputType.TEXT:
@@ -56,5 +53,5 @@ async def respond(
                         should_stop = True
                     return output_response, should_stop
         except Exception as e:
-            self.logger.error(f"Error in response from RESTful agent: {e}")
+            logger.error(f"Error in response from RESTful agent: {e}")
             return None, True
diff --git a/vocode/streaming/agent/streaming_utils.py b/vocode/streaming/agent/streaming_utils.py
new file mode 100644
index 0000000000..ac0dee34c0
--- /dev/null
+++ b/vocode/streaming/agent/streaming_utils.py
@@ -0,0 +1,139 @@
+import re
+from typing import AsyncGenerator, AsyncIterable, List, Literal, Optional, Union
+
+from sentry_sdk.tracing import Span
+
+from vocode.streaming.models.actions import FunctionCall, FunctionFragment
+
+TOKENS_TO_GENERATE_PAST_PERIOD = 3
+SENTENCE_ENDINGS_EXCEPT_PERIOD_PATTERN = r"[?!\n\t\r]"
+
+
+SHORT_SENTENCE_CUTOFF = 3
+
+
+def split_sentences(text: str) -> List[str]:
+    """Splits text into sentences and preserve trailing periods.
+
+    Merge sentences that are just numbers, as they are part of lists.
+    """
+    initial_split = text.split(". ")
+
+    final_split = []
+    buffer = ""
+
+    for i, sentence in enumerate(initial_split):
+        is_last = i == len(initial_split) - 1
+        buffer += sentence
+        if not is_last:
+            buffer += ". "
+        if not re.fullmatch(r"\d+", sentence.strip()):
+            final_split.append(buffer.strip())
+            buffer = ""
+
+    if buffer.strip():
+        final_split.append(buffer.strip())
+
+    return [sentence for sentence in final_split if sentence]
+
+
+async def collate_response_async(
+    conversation_id: str,
+    gen: AsyncIterable[Union[str, FunctionFragment]],
+    get_functions: Literal[True, False] = False,
+    sentry_span: Optional[Span] = None,
+) -> AsyncGenerator[
+    Union[str, FunctionCall],
+    None,
+]:  # tuple of message to send and whether it's the final message
+    buffer = ""
+    function_name_buffer = ""
+    function_args_buffer = ""
+    is_post_period = False
+    tokens_since_period = 0
+    is_first = True
+    async for token in gen:
+        if is_first:
+            if sentry_span:
+                sentry_span.finish()
+            is_first = False
+        if not token:
+            continue
+        if isinstance(token, str):
+            buffer += token
+            if len(buffer.strip().split()) < SHORT_SENTENCE_CUTOFF:
+                continue
+            if re.search(SENTENCE_ENDINGS_EXCEPT_PERIOD_PATTERN, token):
+                # split on last occurrence of sentence ending
+                matches = [
+                    match for match in re.finditer(SENTENCE_ENDINGS_EXCEPT_PERIOD_PATTERN, buffer)
+                ]
+                last_match = matches[-1]
+                split_point = last_match.start() + 1
+                to_keep, to_return = buffer[split_point:], buffer[:split_point]
+                if to_return.strip():
+                    yield to_return.strip()
+                buffer = to_keep
+            elif "." in token:
+                is_post_period = True
+                tokens_since_period = 0
+
+            if is_post_period and tokens_since_period > TOKENS_TO_GENERATE_PAST_PERIOD:
+                sentences = split_sentences(buffer)
+                if len(sentences) > 1:
+                    yield " ".join(sentences[:-1])
+                    buffer = sentences[-1]
+                is_post_period = False
+                tokens_since_period = 0
+            else:
+                tokens_since_period += 1
+
+        elif isinstance(token, FunctionFragment):
+            function_name_buffer += token.name
+            function_args_buffer += token.arguments
+    to_return = buffer.strip()
+    if to_return:
+        yield to_return
+    if function_name_buffer and get_functions:
+        yield FunctionCall(name=function_name_buffer, arguments=function_args_buffer)
+
+
+async def stream_response_async(
+    conversation_id: str,
+    gen: AsyncIterable[Union[str, FunctionFragment]],
+    get_functions: Literal[True, False] = False,
+    sentry_span: Optional[Span] = None,
+) -> AsyncGenerator[
+    Union[str, FunctionCall],
+    None,
+]:  # tuple of message to send and whether it's the final message
+    splitters = (".", ",", "?", "!", ";", ":", "—", "-", "(", ")", "[", "]", "}", " ")
+    buffer = ""
+    function_name_buffer = ""
+    function_args_buffer = ""
+    is_first = True
+    async for token in gen:
+        if is_first:
+            if sentry_span:
+                sentry_span.finish()
+            is_first = False
+        if not token:
+            continue
+        if isinstance(token, str):
+            if buffer.endswith(splitters):
+                yield buffer if buffer.endswith(" ") else buffer + " "
+                buffer = token
+            elif token.startswith(splitters):
+                output = buffer + token[0]
+                yield output if output.endswith(" ") else output + " "
+                buffer = token[1:]
+            else:
+                buffer += token
+
+        elif isinstance(token, FunctionFragment):
+            function_name_buffer += token.name
+            function_args_buffer += token.arguments
+    if buffer != "":
+        yield buffer + " "
+    if function_name_buffer and get_functions:
+        yield FunctionCall(name=function_name_buffer, arguments=function_args_buffer)
diff --git a/vocode/streaming/agent/token_utils.py b/vocode/streaming/agent/token_utils.py
new file mode 100644
index 0000000000..7288f0d4dd
--- /dev/null
+++ b/vocode/streaming/agent/token_utils.py
@@ -0,0 +1,261 @@
+"""Utilities for chat_gpt_agent, mostly around token counting for cost estimation purposes."""
+
+import json
+import textwrap
+from typing import Any, Dict, List, NamedTuple, Optional
+
+import tiktoken
+from loguru import logger
+
+# THE FOLLOWING CODE, UNTIL THE END MARKER, WERE RETRIEVED ON 9/13/2023 FROM
+# THE OPENAI COOKBOOK UNDER THE MIT LICENSE.
+# MIT License
+
+# Copyright (c) 2023 OpenAI
+
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+
+# Used to count the amount of tokens Actions add to the billable cost
+_FUNCTION_OVERHEAD_STR = """# Tools
+
+## functions
+
+namespace functions {
+
+} // namespace functions"""
+
+CHAT_GPT_MAX_TOKENS = {
+    "gpt-3.5-turbo-0613": 4050,
+    "gpt-3.5-turbo-16k-0613": 16340,
+    "gpt-3.5-turbo-16k": 16340,
+    "gpt-3.5-turbo": 16340,
+    "gpt-3.5-turbo-1106": 16340,
+    "gpt-3.5-turbo-0125": 16340,
+    "gpt-4-0314": 8150,
+    "gpt-4-32k-0314": 32700,
+    "gpt-4-0613": 8150,
+    "gpt-4-32k-0613": 32700,
+    "gpt-4-0125-preview": 127940,
+    "gpt-4-turbo": 127940,
+    "gpt-4o": 127940,
+}
+
+
+def get_chat_gpt_max_tokens(model_name: str):
+    if model_name.startswith("ft:"):
+        model_name = model_name.split(":")[1]
+    if model_name.startswith("gpt-4o"):
+        model_name = "gpt-4o"
+
+    if model_name in CHAT_GPT_MAX_TOKENS:
+        return CHAT_GPT_MAX_TOKENS[model_name]
+
+    return 4050
+
+
+TokenizerInfo = NamedTuple(
+    "TokenizerInfo",
+    [
+        ("encoding", tiktoken.Encoding),
+        ("tokens_per_message", int),
+        ("tokens_per_name", int),
+    ],
+)
+
+
+def get_tokenizer_info(model: str) -> Optional[TokenizerInfo]:
+    if "gpt-35-turbo" in model:
+        model = "gpt-3.5-turbo"
+    elif "gpt-4o" == model:
+        model = "gpt-4o"
+    elif "gpt4" in model or "gpt-4" in model:
+        model = "gpt-4"
+    try:
+        encoding = tiktoken.encoding_for_model(model)
+    except KeyError:
+        logger.warning(f"Warning: model not found. Using cl100k_base encoding for {model}.")
+        encoding = tiktoken.get_encoding("cl100k_base")
+    if model in {
+        "gpt-3.5-turbo-0613",
+        "gpt-3.5-turbo-16k-0613",
+        "gpt-4-0314",
+        "gpt-4-32k-0314",
+        "gpt-4-0613",
+        "gpt-4-32k-0613",
+    }:
+        tokens_per_message = 3
+        tokens_per_name = 1
+    elif model == "gpt-3.5-turbo-0301":
+        tokens_per_message = 4  # every message follows <|start|>{role/name}\n{content}<|end|>\n
+        tokens_per_name = -1  # if there's a name, the role is omitted
+    elif "gpt-3.5-turbo" in model:
+        logger.debug(
+            "Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0613."
+        )
+        tokens_per_message = 3
+        tokens_per_name = 1
+    elif "gpt-4" in model:
+        logger.debug(
+            "Warning: gpt-4 may update over time. Returning num tokens assuming gpt-4-0613."
+        )
+        tokens_per_message = 3
+        tokens_per_name = 1
+    elif "llama" in model.lower():
+        logger.warning(
+            f"Warning: you are using a llama model with an OpenAI compatible endpoint. \
+            Llama models are not supported natively support for token counting in tiktoken. \
+            Using cl100k_base encoding for {model} as an APPROXIMATION of token usage."
+        )
+        tokens_per_message = 3
+        tokens_per_name = 1
+    else:
+        return None
+
+    return TokenizerInfo(
+        encoding=encoding,
+        tokens_per_message=tokens_per_message,
+        tokens_per_name=tokens_per_name,
+    )
+
+
+def num_tokens_from_messages(messages: List[dict], model: str = "gpt-3.5-turbo-0613"):
+    """Return the number of tokens used by a list of messages."""
+    tokenizer_info = get_tokenizer_info(model)
+    if tokenizer_info is None:
+        raise NotImplementedError(
+            f"""num_tokens_from_messages() is not implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens."""
+        )
+    num_tokens = 0
+    for message in messages:
+        num_tokens += tokenizer_info.tokens_per_message
+        num_tokens += tokens_from_dict(
+            encoding=tokenizer_info.encoding,
+            d=message,
+            tokens_per_name=tokenizer_info.tokens_per_name,
+        )
+    num_tokens += 3  # every reply is primed with <|start|>assistant<|message|>
+    return num_tokens
+
+
+# END OF OPENAI COOKBOOK CODE AND GIVEN MIT LICENSE.
+
+
+def tokens_from_dict(encoding: tiktoken.Encoding, d: Dict[str, Any], tokens_per_name: int) -> int:
+    """Return the number of OpenAI tokens in a dict."""
+    num_tokens: int = 0
+    for key, value in d.items():
+        if value is None:
+            continue
+        if isinstance(value, str):
+            num_tokens += len(encoding.encode(value))
+            if key == "name":
+                num_tokens += tokens_per_name
+        elif isinstance(value, dict):
+            num_tokens += tokens_from_dict(
+                encoding=encoding, d=value, tokens_per_name=tokens_per_name
+            )
+
+    return num_tokens
+
+
+def num_tokens_from_functions(functions: List[dict] | None, model="gpt-3.5-turbo-0613") -> int:
+    """Return the number of tokens used by a list of functions."""
+    if not functions:
+        return 0
+
+    try:
+        encoding = tiktoken.encoding_for_model(model)
+    except KeyError:
+        logger.warning("Warning: model not found. Using cl100k_base encoding.")
+        encoding = tiktoken.get_encoding("cl100k_base")
+
+    function_overhead = 3 + len(encoding.encode(_FUNCTION_OVERHEAD_STR))
+
+    return function_overhead + sum(
+        len(encoding.encode(_format_func_into_prompt_str(func=f))) for f in functions
+    )
+
+
+# Calculates the amount of tokens added to a given OpenAI prompt for functions
+# specifically for billing purposes
+def _format_func_into_prompt_str(func) -> str:
+    def resolve_ref(schema):
+        if schema.get("$ref") is not None:
+            ref = schema["$ref"][14:]
+            schema = json_schema["definitions"][ref]
+        return schema
+
+    def format_schema(schema, indent):
+        schema = resolve_ref(schema)
+        if "enum" in schema:
+            return format_enum(schema, indent)
+        elif schema["type"] == "object":
+            return format_object(schema, indent)
+        elif schema["type"] == "integer":
+            return "number"
+        elif schema["type"] == "boolean":
+            return "boolean"
+        elif schema["type"] in ["string", "number"]:
+            return schema["type"]
+        elif schema["type"] == "array":
+            return format_schema(schema["items"], indent) + "[]"
+        else:
+            raise ValueError("unknown schema type " + schema["type"])
+
+    def format_enum(schema, indent):
+        return " | ".join(json.dumps(o) for o in schema["enum"])
+
+    def format_object(schema, indent):
+        result = "{\n"
+        if "properties" not in schema or len(schema["properties"]) == 0:
+            if schema.get("additionalProperties", False):
+                return "object"
+            return None
+        for key, value in schema["properties"].items():
+            value = resolve_ref(value)
+            value_rendered = format_schema(value, indent + 1)
+            if value_rendered is None:
+                continue
+            if "description" in value and indent == 0:
+                for line in textwrap.dedent(value["description"]).strip().split("\n"):
+                    result += f"{'  '*indent}// {line}\n"
+            optional = "" if key in schema.get("required", {}) else "?"
+            comment = (
+                "" if value.get("default") is None else f" // default: {format_default(value)}"
+            )
+            result += f"{'  '*indent}{key}{optional}: {value_rendered},{comment}\n"
+        result += ("  " * (indent - 1)) + "}"
+        return result
+
+    def format_default(schema):
+        v = schema["default"]
+        if schema["type"] == "number":
+            return f"{v:.1f}" if float(v).is_integer() else str(v)
+        else:
+            return str(v)
+
+    json_schema = func["parameters"]
+    result = f"// {func['description']}\ntype {func['name']} = ("
+    formatted = format_object(json_schema, 0)
+    if formatted is not None:
+        result += "_: " + formatted
+    result += ") => any;\n\n"
+    return result
diff --git a/vocode/streaming/agent/utils.py b/vocode/streaming/agent/utils.py
deleted file mode 100644
index 8d725c950f..0000000000
--- a/vocode/streaming/agent/utils.py
+++ /dev/null
@@ -1,176 +0,0 @@
-from copy import deepcopy
-import re
-from typing import (
-    Dict,
-    Any,
-    AsyncGenerator,
-    AsyncIterable,
-    Callable,
-    List,
-    Literal,
-    Optional,
-    TypeVar,
-    Union,
-)
-
-from openai.openai_object import OpenAIObject
-from vocode.streaming.models.actions import FunctionCall, FunctionFragment
-from vocode.streaming.models.events import Sender
-from vocode.streaming.models.transcript import (
-    ActionFinish,
-    ActionStart,
-    EventLog,
-    Message,
-    Transcript,
-)
-
-SENTENCE_ENDINGS = [".", "!", "?", "\n"]
-
-
-async def collate_response_async(
-    gen: AsyncIterable[Union[str, FunctionFragment]],
-    sentence_endings: List[str] = SENTENCE_ENDINGS,
-    get_functions: Literal[True, False] = False,
-) -> AsyncGenerator[Union[str, FunctionCall], None]:
-    sentence_endings_pattern = "|".join(map(re.escape, sentence_endings))
-    list_item_ending_pattern = r"\n"
-    buffer = ""
-    function_name_buffer = ""
-    function_args_buffer = ""
-    prev_ends_with_money = False
-    async for token in gen:
-        if not token:
-            continue
-        if isinstance(token, str):
-            if prev_ends_with_money and token.startswith(" "):
-                yield buffer.strip()
-                buffer = ""
-
-            buffer += token
-            possible_list_item = bool(re.match(r"^\d+[ .]", buffer))
-            ends_with_money = bool(re.findall(r"\$\d+.$", buffer))
-            if re.findall(
-                list_item_ending_pattern
-                if possible_list_item
-                else sentence_endings_pattern,
-                token,
-            ):
-                if not ends_with_money:
-                    to_return = buffer.strip()
-                    if to_return:
-                        yield to_return
-                    buffer = ""
-            prev_ends_with_money = ends_with_money
-        elif isinstance(token, FunctionFragment):
-            function_name_buffer += token.name
-            function_args_buffer += token.arguments
-    to_return = buffer.strip()
-    if to_return:
-        yield to_return
-    if function_name_buffer and get_functions:
-        yield FunctionCall(name=function_name_buffer, arguments=function_args_buffer)
-
-
-async def openai_get_tokens(gen) -> AsyncGenerator[Union[str, FunctionFragment], None]:
-    async for event in gen:
-        choices = event.get("choices", [])
-        if len(choices) == 0:
-            break
-        choice = choices[0]
-        if choice.finish_reason:
-            break
-        delta = choice.get("delta", {})
-        if "text" in delta and delta["text"] is not None:
-            token = delta["text"]
-            yield token
-        if "content" in delta and delta["content"] is not None:
-            token = delta["content"]
-            yield token
-        elif "function_call" in delta and delta["function_call"] is not None:
-            yield FunctionFragment(
-                name=delta["function_call"]["name"]
-                if "name" in delta["function_call"]
-                else "",
-                arguments=delta["function_call"]["arguments"]
-                if "arguments" in delta["function_call"]
-                else "",
-            )
-
-
-def find_last_punctuation(buffer: str) -> Optional[int]:
-    indices = [buffer.rfind(ending) for ending in SENTENCE_ENDINGS]
-    if not indices:
-        return None
-    return max(indices)
-
-
-def get_sentence_from_buffer(buffer: str):
-    last_punctuation = find_last_punctuation(buffer)
-    if last_punctuation:
-        return buffer[: last_punctuation + 1], buffer[last_punctuation + 1 :]
-    else:
-        return None, None
-
-
-def format_openai_chat_messages_from_transcript(
-    transcript: Transcript, prompt_preamble: Optional[str] = None
-) -> List[dict]:
-    chat_messages: List[Dict[str, Optional[Any]]] = (
-        [{"role": "system", "content": prompt_preamble}] if prompt_preamble else []
-    )
-
-    # merge consecutive bot messages
-    new_event_logs: List[EventLog] = []
-    idx = 0
-    while idx < len(transcript.event_logs):
-        bot_messages_buffer: List[Message] = []
-        current_log = transcript.event_logs[idx]
-        while isinstance(current_log, Message) and current_log.sender == Sender.BOT:
-            bot_messages_buffer.append(current_log)
-            idx += 1
-            try:
-                current_log = transcript.event_logs[idx]
-            except IndexError:
-                break
-        if bot_messages_buffer:
-            merged_bot_message = deepcopy(bot_messages_buffer[-1])
-            merged_bot_message.text = " ".join(
-                event_log.text for event_log in bot_messages_buffer
-            )
-            new_event_logs.append(merged_bot_message)
-        else:
-            new_event_logs.append(current_log)
-            idx += 1
-
-    for event_log in new_event_logs:
-        if isinstance(event_log, Message):
-            chat_messages.append(
-                {
-                    "role": "assistant" if event_log.sender == Sender.BOT else "user",
-                    "content": event_log.text,
-                }
-            )
-        elif isinstance(event_log, ActionStart):
-            chat_messages.append(
-                {
-                    "role": "assistant",
-                    "content": None,
-                    "function_call": {
-                        "name": event_log.action_type,
-                        "arguments": event_log.action_input.params.json(),
-                    },
-                }
-            )
-        elif isinstance(event_log, ActionFinish):
-            chat_messages.append(
-                {
-                    "role": "function",
-                    "name": event_log.action_type,
-                    "content": event_log.action_output.response.json(),
-                }
-            )
-    return chat_messages
-
-
-def vector_db_result_to_openai_chat_message(vector_db_result):
-    return {"role": "user", "content": vector_db_result}
diff --git a/vocode/streaming/agent/vertex_ai_agent.py b/vocode/streaming/agent/vertex_ai_agent.py
index 80df9d805c..2646767331 100644
--- a/vocode/streaming/agent/vertex_ai_agent.py
+++ b/vocode/streaming/agent/vertex_ai_agent.py
@@ -1,28 +1,24 @@
-from concurrent.futures import ThreadPoolExecutor
 import asyncio
-import logging
-from typing import Optional, Tuple
+from concurrent.futures import ThreadPoolExecutor
+from typing import Tuple
+
 from langchain import ConversationChain
+from langchain.memory import ConversationBufferMemory
+from langchain.prompts import ChatPromptTemplate, HumanMessagePromptTemplate, MessagesPlaceholder
+from langchain.schema import SystemMessage
+from langchain_community.chat_models import ChatVertexAI
+from loguru import logger
+
 from vocode.streaming.agent.base_agent import RespondAgent
 from vocode.streaming.models.agent import ChatVertexAIAgentConfig
-from langchain.chat_models import ChatVertexAI
-from langchain.prompts import (
-    ChatPromptTemplate,
-    MessagesPlaceholder,
-    HumanMessagePromptTemplate,
-)
-
-from langchain.schema import HumanMessage, SystemMessage, AIMessage
-from langchain.memory import ConversationBufferMemory
 
 
 class ChatVertexAIAgent(RespondAgent[ChatVertexAIAgentConfig]):
     def __init__(
         self,
         agent_config: ChatVertexAIAgentConfig,
-        logger: Optional[logging.Logger] = None,
     ):
-        super().__init__(agent_config=agent_config, logger=logger)
+        super().__init__(agent_config=agent_config)
 
         self.prompt = ChatPromptTemplate.from_messages(
             [
@@ -38,9 +34,7 @@ def __init__(
             SystemMessage(content=self.agent_config.prompt_preamble)
         )
 
-        self.conversation = ConversationChain(
-            memory=self.memory, prompt=self.prompt, llm=self.llm
-        )
+        self.conversation = ConversationChain(memory=self.memory, prompt=self.prompt, llm=self.llm)
         if agent_config.initial_message:
             raise NotImplementedError("initial_message not supported for Vertex AI")
         self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
@@ -58,5 +52,5 @@ async def respond(
             human_input,
         )
 
-        self.logger.debug(f"LLM response: {text}")
+        logger.debug(f"LLM response: {text}")
         return text, False
diff --git a/vocode/streaming/agent/websocket_user_implemented_agent.py b/vocode/streaming/agent/websocket_user_implemented_agent.py
index e965388f06..c10c26c662 100644
--- a/vocode/streaming/agent/websocket_user_implemented_agent.py
+++ b/vocode/streaming/agent/websocket_user_implemented_agent.py
@@ -1,25 +1,15 @@
 import asyncio
 import json
-import logging
-from typing import Dict
-from vocode.streaming.transcriber.base_transcriber import Transcription
-from vocode.streaming.utils.worker import (
-    InterruptibleAgentResponseEvent,
-    InterruptibleEvent,
-)
+
 import websockets
-from websockets.client import (
-    connect,
-    WebSocketClientProtocol,
-)
+from loguru import logger
+from websockets.asyncio.client import ClientConnection
 
-from typing import Awaitable, Callable, Optional, cast
 from vocode.streaming.agent.base_agent import (
     AgentInput,
     AgentResponse,
     AgentResponseMessage,
     AgentResponseStop,
-    AgentResponseFillerAudio,
     BaseAgent,
     TranscriptionAgentInput,
 )
@@ -30,85 +20,78 @@
     WebSocketAgentTextMessage,
     WebSocketUserImplementedAgentConfig,
 )
+from vocode.streaming.utils.worker import InterruptibleAgentResponseEvent, InterruptibleEvent
 
 NUM_RESTARTS = 5
 
 
 class WebSocketUserImplementedAgent(BaseAgent[WebSocketUserImplementedAgentConfig]):
     input_queue: asyncio.Queue[InterruptibleEvent[AgentInput]]
-    output_queue: asyncio.Queue[InterruptibleAgentResponseEvent[AgentResponse]]
 
     def __init__(
         self,
         agent_config: WebSocketUserImplementedAgentConfig,
-        logger: Optional[logging.Logger] = None,
     ):
         self.agent_config = agent_config
-        self.logger = logger or logging.getLogger(__name__)
 
         self.has_ended = False
-        super().__init__(agent_config=agent_config, logger=logger)
+        super().__init__(agent_config=agent_config)
 
     def get_agent_config(self) -> WebSocketUserImplementedAgentConfig:
         return self.agent_config
 
     async def _run_loop(self) -> None:
         restarts = 0
-        self.logger.info("Starting Socket Agent")
+        logger.info("Starting Socket Agent")
         while not self.has_ended and restarts < NUM_RESTARTS:
             await self._process()
             restarts += 1
-            self.logger.debug(
-                "Socket Agent connection died, restarting, num_restarts: %s", restarts
-            )
+            logger.debug("Socket Agent connection died, restarting, num_restarts: %s", restarts)
 
     def _handle_incoming_socket_message(self, message: WebSocketAgentMessage) -> None:
-        self.logger.info("Handling incoming message from Socket Agent: %s", message)
+        logger.info("Handling incoming message from Socket Agent: %s", message)
 
         agent_response: AgentResponse
 
         if isinstance(message, WebSocketAgentTextMessage):
-            agent_response = AgentResponseMessage(
-                message=BaseMessage(text=message.data.text)
-            )
+            agent_response = AgentResponseMessage(message=BaseMessage(text=message.data.text))
         elif isinstance(message, WebSocketAgentStopMessage):
             agent_response = AgentResponseStop()
             self.has_ended = True
         else:
             raise Exception("Unknown Socket message type")
 
-        self.logger.info("Putting interruptible agent response event in output queue")
-        self.produce_interruptible_agent_response_event_nonblocking(
-            agent_response, self.get_agent_config().allow_agent_to_be_cut_off
+        logger.info("Putting interruptible agent response event in output queue")
+        self.agent_responses_consumer.consume_nonblocking(
+            self.interruptible_event_factory.create_interruptible_agent_response_event(
+                agent_response,
+                is_interruptible=self.get_agent_config().allow_agent_to_be_cut_off,
+            )
         )
 
     async def _process(self) -> None:
         socket_url = self.get_agent_config().respond.url
-        self.logger.info("Connecting to web socket agent %s", socket_url)
+        logger.info("Connecting to web socket agent %s", socket_url)
 
-        async with connect(socket_url) as ws:
+        async with websockets.connect(socket_url) as ws:
 
             async def sender(
-                ws: WebSocketClientProtocol,
+                ws: ClientConnection,
             ) -> None:  # sends audio to websocket
                 while not self.has_ended:
-                    self.logger.info("Waiting for data from agent request queue")
+                    logger.info("Waiting for data from agent request queue")
                     try:
                         input = await self.input_queue.get()
                         payload = input.payload
                         if isinstance(payload, TranscriptionAgentInput):
                             transcription = payload.transcription
-                            self.logger.info(
-                                "Transcription message: %s", transcription.message
-                            )
+                            logger.info("Transcription message: %s", transcription.message)
                             agent_request = WebSocketAgentTextMessage.from_text(
                                 transcription.message,
                                 conversation_id=payload.conversation_id,
                             )
                             agent_request_json = agent_request.json()
-                            self.logger.info(
-                                f"Sending data to web socket agent: {agent_request_json}"
-                            )
+                            logger.info(f"Sending data to web socket agent: {agent_request_json}")
                             if isinstance(agent_request, AgentResponseStop):
                                 # In practice, it doesn't make sense for the client to send a text and stop message to the agent service
                                 self.has_ended = True
@@ -119,50 +102,46 @@ async def sender(
                         break
 
                     except Exception as e:
-                        self.logger.error(
+                        logger.error(
                             f'WebSocket Agent Send Error: "{e}" in Web Socket User Implemented Agent sender'
                         )
                         break
 
-                self.logger.debug("Terminating web socket agent sender")
+                logger.debug("Terminating web socket agent sender")
 
-            async def receiver(ws: WebSocketClientProtocol) -> None:
+            async def receiver(ws: ClientConnection) -> None:
                 while not self.has_ended:
                     try:
                         msg = await ws.recv()
-                        self.logger.info("Received data from web socket agent")
+                        logger.info("Received data from web socket agent")
                         data = json.loads(msg)
                         message = WebSocketAgentMessage.parse_obj(data)
                         self._handle_incoming_socket_message(message)
 
                     except websockets.exceptions.ConnectionClosed as e:
-                        self.logger.error(
-                            f'WebSocket Agent Receive Error: Connection Closed - "{e}"'
-                        )
+                        logger.error(f'WebSocket Agent Receive Error: Connection Closed - "{e}"')
                         break
 
                     except websockets.exceptions.ConnectionClosedOK as e:
-                        self.logger.error(
-                            f'WebSocket Agent Receive Error: Connection Closed OK - "{e}"'
-                        )
+                        logger.error(f'WebSocket Agent Receive Error: Connection Closed OK - "{e}"')
                         break
 
                     except websockets.exceptions.InvalidStatus as e:
-                        self.logger.error(
-                            f'WebSocket Agent Receive Error: Invalid Status - "{e}"'
-                        )
+                        logger.error(f'WebSocket Agent Receive Error: Invalid Status - "{e}"')
                         break
 
                     except Exception as e:
-                        self.logger.error(f'WebSocket Agent Receive Error: "{e}"')
+                        logger.error(f'WebSocket Agent Receive Error: "{e}"')
                         break
 
-                self.logger.debug(
-                    "Terminating Web Socket User Implemented Agent receiver"
-                )
+                logger.debug("Terminating Web Socket User Implemented Agent receiver")
 
             await asyncio.gather(sender(ws), receiver(ws))
 
-    def terminate(self):
-        self.produce_interruptible_agent_response_event_nonblocking(AgentResponseStop())
-        super().terminate()
+    async def terminate(self):
+        self.agent_responses_consumer.consume_nonblocking(
+            self.interruptible_event_factory.create_interruptible_agent_response_event(
+                AgentResponseStop()
+            )
+        )
+        await super().terminate()
diff --git a/vocode/streaming/client_backend/conversation.py b/vocode/streaming/client_backend/conversation.py
index a9977c01b9..31b34c82b5 100644
--- a/vocode/streaming/client_backend/conversation.py
+++ b/vocode/streaming/client_backend/conversation.py
@@ -1,16 +1,18 @@
-import logging
-from typing import Callable, Optional
 import typing
+from typing import Callable
 
 from fastapi import APIRouter, WebSocket
+from loguru import logger
+
 from vocode.streaming.agent.base_agent import BaseAgent
-from vocode.streaming.models.audio_encoding import AudioEncoding
 from vocode.streaming.models.client_backend import InputAudioConfig, OutputAudioConfig
+from vocode.streaming.models.events import Event, EventType
 from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
 from vocode.streaming.models.transcriber import (
     DeepgramTranscriberConfig,
     PunctuationEndpointingConfig,
 )
+from vocode.streaming.models.transcript import TranscriptEvent
 from vocode.streaming.models.websocket import (
     AudioConfigStartMessage,
     AudioMessage,
@@ -18,18 +20,14 @@
     WebSocketMessage,
     WebSocketMessageType,
 )
-
 from vocode.streaming.output_device.websocket_output_device import WebsocketOutputDevice
 from vocode.streaming.streaming_conversation import StreamingConversation
 from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
 from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer
 from vocode.streaming.transcriber.base_transcriber import BaseTranscriber
 from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
-from vocode.streaming.utils.base_router import BaseRouter
-
-from vocode.streaming.models.events import Event, EventType
-from vocode.streaming.models.transcript import TranscriptEvent
 from vocode.streaming.utils import events_manager
+from vocode.streaming.utils.base_router import BaseRouter
 
 BASE_CONVERSATION_ENDPOINT = "/conversation"
 
@@ -49,18 +47,14 @@ def __init__(
         synthesizer_thunk: Callable[
             [OutputAudioConfig], BaseSynthesizer
         ] = lambda output_audio_config: AzureSynthesizer(
-            AzureSynthesizerConfig.from_output_audio_config(
-                output_audio_config=output_audio_config
-            )
+            AzureSynthesizerConfig.from_output_audio_config(output_audio_config=output_audio_config)
         ),
-        logger: Optional[logging.Logger] = None,
         conversation_endpoint: str = BASE_CONVERSATION_ENDPOINT,
     ):
         super().__init__()
         self.transcriber_thunk = transcriber_thunk
         self.agent_thunk = agent_thunk
         self.synthesizer_thunk = synthesizer_thunk
-        self.logger = logger or logging.getLogger(__name__)
         self.router = APIRouter()
         self.router.websocket(conversation_endpoint)(self.conversation)
 
@@ -71,17 +65,18 @@ def get_conversation(
     ) -> StreamingConversation:
         transcriber = self.transcriber_thunk(start_message.input_audio_config)
         synthesizer = self.synthesizer_thunk(start_message.output_audio_config)
-        synthesizer.synthesizer_config.should_encode_as_wav = True
+        synthesizer.get_synthesizer_config().should_encode_as_wav = True
         return StreamingConversation(
             output_device=output_device,
             transcriber=transcriber,
             agent=self.agent_thunk(),
             synthesizer=synthesizer,
             conversation_id=start_message.conversation_id,
-            events_manager=TranscriptEventManager(output_device, self.logger)
-            if start_message.subscribe_transcript
-            else None,
-            logger=self.logger,
+            events_manager=(
+                TranscriptEventManager(output_device)
+                if start_message.subscribe_transcript
+                else None
+            ),
         )
 
     async def conversation(self, websocket: WebSocket):
@@ -89,7 +84,7 @@ async def conversation(self, websocket: WebSocket):
         start_message: AudioConfigStartMessage = AudioConfigStartMessage.parse_obj(
             await websocket.receive_json()
         )
-        self.logger.debug(f"Conversation started")
+        logger.debug(f"Conversation started")
         output_device = WebsocketOutputDevice(
             websocket,
             start_message.output_audio_config.sampling_rate,
@@ -98,9 +93,7 @@ async def conversation(self, websocket: WebSocket):
         conversation = self.get_conversation(output_device, start_message)
         await conversation.start(lambda: websocket.send_text(ReadyMessage().json()))
         while conversation.is_active():
-            message: WebSocketMessage = WebSocketMessage.parse_obj(
-                await websocket.receive_json()
-            )
+            message: WebSocketMessage = WebSocketMessage.parse_obj(await websocket.receive_json())
             if message.type == WebSocketMessageType.STOP:
                 break
             audio_message = typing.cast(AudioMessage, message)
@@ -116,17 +109,15 @@ class TranscriptEventManager(events_manager.EventsManager):
     def __init__(
         self,
         output_device: WebsocketOutputDevice,
-        logger: Optional[logging.Logger] = None,
     ):
         super().__init__(subscriptions=[EventType.TRANSCRIPT])
         self.output_device = output_device
-        self.logger = logger or logging.getLogger(__name__)
 
-    def handle_event(self, event: Event):
+    async def handle_event(self, event: Event):
         if event.type == EventType.TRANSCRIPT:
             transcript_event = typing.cast(TranscriptEvent, event)
-            self.output_device.consume_transcript(transcript_event)
-            # self.logger.debug(event.dict())
+            await self.output_device.send_transcript(transcript_event)
+            # logger.debug(event.dict())
 
     def restart(self, output_device: WebsocketOutputDevice):
         self.output_device = output_device
diff --git a/vocode/streaming/constants.py b/vocode/streaming/constants.py
index 7f91d2f6ff..3b84e2e56c 100644
--- a/vocode/streaming/constants.py
+++ b/vocode/streaming/constants.py
@@ -1,3 +1,10 @@
-TEXT_TO_SPEECH_CHUNK_SIZE_SECONDS = 1
+TEXT_TO_SPEECH_CHUNK_SIZE_SECONDS = 0.1
 PER_CHUNK_ALLOWANCE_SECONDS = 0.01
 ALLOWED_IDLE_TIME = 15
+SENTENCE_ENDINGS = [".", "!", "?", "\n"]
+CHECK_HUMAN_PRESENT_MESSAGE_CHOICES = [
+    "Hello?",
+    "Are you there?",
+    "Are you still there?",
+    "Hi, are you there?",
+]
diff --git a/vocode/streaming/hosted_streaming_conversation.py b/vocode/streaming/hosted_streaming_conversation.py
deleted file mode 100644
index c674f7176c..0000000000
--- a/vocode/streaming/hosted_streaming_conversation.py
+++ /dev/null
@@ -1,105 +0,0 @@
-from __future__ import annotations
-
-from typing import Optional
-import websockets
-from websockets.exceptions import ConnectionClosedOK
-from websockets.client import WebSocketClientProtocol
-import asyncio
-import logging
-import threading
-import queue
-import vocode
-from vocode.streaming.input_device.base_input_device import (
-    BaseInputDevice,
-)
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
-from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.models.agent import AgentConfig
-from vocode.streaming.models.synthesizer import SynthesizerConfig
-from vocode.streaming.models.websocket import (
-    ReadyMessage,
-    AudioMessage,
-    StartMessage,
-    StopMessage,
-)
-
-
-class HostedStreamingConversation:
-    def __init__(
-        self,
-        input_device: BaseInputDevice,
-        output_device: BaseOutputDevice,
-        transcriber_config: TranscriberConfig,
-        agent_config: AgentConfig,
-        synthesizer_config: SynthesizerConfig,
-        id: Optional[str] = None,
-    ):
-        self.id = id
-        self.input_device = input_device
-        self.output_device = output_device
-        self.transcriber_config = transcriber_config
-        self.agent_config = agent_config
-        self.synthesizer_config = synthesizer_config
-        self.logger = logging.getLogger(__name__)
-        self.receiver_ready = False
-        self.active = True
-        self.output_loop = asyncio.new_event_loop()
-        self.output_audio_queue: queue.Queue[bytes] = queue.Queue()
-        self.vocode_websocket_url = f"wss://{vocode.base_url}/conversation"
-
-    async def wait_for_ready(self):
-        while not self.receiver_ready:
-            await asyncio.sleep(0.1)
-        return True
-
-    def deactivate(self):
-        self.active = False
-
-    def play_audio(self):
-        async def run():
-            while self.active:
-                try:
-                    audio = self.output_audio_queue.get(timeout=5)
-                    self.output_device.consume_nonblocking(audio)
-                except queue.Empty:
-                    continue
-
-        loop = asyncio.new_event_loop()
-        loop.run_until_complete(run())
-
-    async def start(self):
-        async with websockets.connect(
-            f"{self.vocode_websocket_url}?key={vocode.api_key}"
-        ) as ws:
-
-            async def sender(ws: WebSocketClientProtocol):
-                start_message = StartMessage(
-                    transcriber_config=self.transcriber_config,
-                    agent_config=self.agent_config,
-                    synthesizer_config=self.synthesizer_config,
-                    conversation_id=self.id,
-                )
-                await ws.send(start_message.json())
-                await self.wait_for_ready()
-                self.logger.info("Listening...press Ctrl+C to stop")
-                while self.active:
-                    data = await self.input_device.get_audio()
-                    if data:
-                        try:
-                            await ws.send(AudioMessage.from_bytes(data).json())
-                        except ConnectionClosedOK:
-                            self.deactivate()
-                            return
-                        await asyncio.sleep(0)
-                await ws.send(StopMessage().json())
-
-            async def receiver(ws: WebSocketClientProtocol):
-                ReadyMessage.parse_raw(await ws.recv())
-                self.receiver_ready = True
-                async for msg in ws:
-                    audio_message = AudioMessage.parse_raw(msg)
-                    self.output_audio_queue.put_nowait(audio_message.get_bytes())
-
-            output_thread = threading.Thread(target=self.play_audio)
-            output_thread.start()
-            return await asyncio.gather(sender(ws), receiver(ws))
diff --git a/vocode/streaming/input_device/base_input_device.py b/vocode/streaming/input_device/base_input_device.py
index 7816515f5f..d7c82bc0b5 100644
--- a/vocode/streaming/input_device/base_input_device.py
+++ b/vocode/streaming/input_device/base_input_device.py
@@ -1,12 +1,11 @@
-from vocode.streaming.models.audio_encoding import AudioEncoding
 import queue
 from typing import Optional
 
+from vocode.streaming.models.audio import AudioEncoding
+
 
 class BaseInputDevice:
-    def __init__(
-        self, sampling_rate: int, audio_encoding: AudioEncoding, chunk_size: int
-    ):
+    def __init__(self, sampling_rate: int, audio_encoding: AudioEncoding, chunk_size: int):
         self.sampling_rate = sampling_rate
         self.audio_encoding = audio_encoding
         self.chunk_size = chunk_size
diff --git a/vocode/streaming/input_device/file_input_device.py b/vocode/streaming/input_device/file_input_device.py
index 7ba88b41d0..b390456886 100644
--- a/vocode/streaming/input_device/file_input_device.py
+++ b/vocode/streaming/input_device/file_input_device.py
@@ -1,10 +1,12 @@
-from vocode.streaming.models.audio_encoding import AudioEncoding
-import janus
-from vocode.streaming.input_device.base_input_device import BaseInputDevice
-import wave
 import struct
+import wave
+
+import janus
 import numpy as np
 
+from vocode.streaming.input_device.base_input_device import BaseInputDevice
+from vocode.streaming.models.audio import AudioEncoding
+
 
 class FileInputDevice(BaseInputDevice):
     DEFAULT_SAMPLING_RATE = 44100
diff --git a/vocode/streaming/input_device/microphone_input.py b/vocode/streaming/input_device/microphone_input.py
index ac3c501491..e27dc95d26 100644
--- a/vocode/streaming/input_device/microphone_input.py
+++ b/vocode/streaming/input_device/microphone_input.py
@@ -1,15 +1,16 @@
 from __future__ import annotations
-import typing
-import janus
 
-import sounddevice as sd
-import numpy as np
-from typing import Optional
 import queue
+import typing
 import wave
+from typing import Optional
+
+import janus
+import numpy as np
+import sounddevice as sd
 
 from vocode.streaming.input_device.base_input_device import BaseInputDevice
-from vocode.streaming.models.audio_encoding import AudioEncoding
+from vocode.streaming.models.audio import AudioEncoding
 
 
 class MicrophoneInput(BaseInputDevice):
@@ -29,9 +30,7 @@ def __init__(
             or (
                 typing.cast(
                     int,
-                    self.device_info.get(
-                        "default_samplerate", self.DEFAULT_SAMPLING_RATE
-                    ),
+                    self.device_info.get("default_samplerate", self.DEFAULT_SAMPLING_RATE),
                 )
             ),
             AudioEncoding.LINEAR16,
diff --git a/vocode/streaming/livekit/constants.py b/vocode/streaming/livekit/constants.py
new file mode 100644
index 0000000000..829ee473ad
--- /dev/null
+++ b/vocode/streaming/livekit/constants.py
@@ -0,0 +1,5 @@
+from vocode.streaming.models.audio import AudioEncoding
+
+DEFAULT_SAMPLING_RATE = 48000
+DEFAULT_CHUNK_SIZE = 480
+AUDIO_ENCODING = AudioEncoding.LINEAR16
diff --git a/vocode/streaming/livekit/livekit_conversation.py b/vocode/streaming/livekit/livekit_conversation.py
new file mode 100644
index 0000000000..9818b70561
--- /dev/null
+++ b/vocode/streaming/livekit/livekit_conversation.py
@@ -0,0 +1,68 @@
+import asyncio
+
+from livekit import rtc
+from loguru import logger
+
+from vocode.streaming.livekit.livekit_events_manager import LiveKitEventsManager
+from vocode.streaming.output_device.livekit_output_device import LiveKitOutputDevice
+from vocode.streaming.streaming_conversation import StreamingConversation
+
+
+class LiveKitConversation(StreamingConversation[LiveKitOutputDevice]):
+    room: rtc.Room
+    user_track: rtc.Track
+    user_participant: rtc.RemoteParticipant
+
+    def __init__(self, *args, **kwargs):
+        if kwargs.get("events_manager") is None:
+            events_manager = LiveKitEventsManager()
+            events_manager.attach_conversation(self)
+            kwargs["events_manager"] = events_manager
+        super().__init__(*args, **kwargs)
+        self.receive_frames_task: asyncio.Task | None = None
+
+    async def start_room(self, room: rtc.Room):
+        self.room = room
+        room.on("track_subscribed", self._on_track_subscribed)
+        room.on("track_unsubscribed", self._on_track_unsubscribed)
+
+        await self.output_device.initialize_source(room)
+
+        await super().start()
+
+    def _on_track_subscribed(
+        self,
+        track: rtc.Track,
+        publication: rtc.RemoteTrackPublication,
+        participant: rtc.RemoteParticipant,
+    ):
+        logger.info("track subscribed: %s", publication.sid)
+        if track.kind == rtc.TrackKind.KIND_AUDIO:
+            self.user_participant = participant
+            self.user_track = track
+            audio_stream = rtc.AudioStream(track)
+            self.receive_frames_task = asyncio.create_task(self._receive_frames(audio_stream))
+
+    async def _receive_frames(
+        self,
+        audio_stream: rtc.AudioStream,
+    ):
+        # this is where we will send the frames to transcription
+        async for event in audio_stream:
+            if self.is_active():
+                frame = event.frame
+                self.receive_audio(bytes(frame.data))
+
+    def _on_track_unsubscribed(
+        self,
+        track: rtc.RemoteTrack,
+        pub: rtc.RemoteTrackPublication,
+        participant: rtc.RemoteParticipant,
+    ):
+        self.mark_terminated()
+
+    async def terminate(self):
+        if self.receive_frames_task:
+            self.receive_frames_task.cancel()
+        await self.output_device.uninitialize_source()
+        return await super().terminate()
diff --git a/vocode/streaming/livekit/livekit_events_manager.py b/vocode/streaming/livekit/livekit_events_manager.py
new file mode 100644
index 0000000000..5daaefcc87
--- /dev/null
+++ b/vocode/streaming/livekit/livekit_events_manager.py
@@ -0,0 +1,55 @@
+import uuid
+from typing import TYPE_CHECKING, List
+
+from livekit import rtc
+
+from vocode.streaming.models.events import Event, EventType, Sender
+from vocode.streaming.models.transcript import TranscriptEvent
+from vocode.streaming.utils.events_manager import EventsManager
+
+if TYPE_CHECKING:
+    from vocode.streaming.livekit.livekit_conversation import LiveKitConversation
+
+
+class LiveKitEventsManager(EventsManager):
+    _conversation: "LiveKitConversation"
+
+    def __init__(
+        self,
+        subscriptions: List[EventType] = [],
+    ):
+        if EventType.TRANSCRIPT not in subscriptions:
+            subscriptions.append(EventType.TRANSCRIPT)
+        super().__init__(subscriptions)
+
+    def attach_conversation(self, conversation: "LiveKitConversation"):
+        self._conversation = conversation
+
+    async def handle_event(self, event: Event):
+        if isinstance(event, TranscriptEvent):
+            participant = (
+                self._conversation.room.local_participant
+                if event.sender == Sender.BOT
+                else self._conversation.user_participant
+            )
+            track = (
+                self._conversation.user_track
+                if event.sender == Sender.HUMAN
+                else self._conversation.output_device.track
+            )
+
+            transcription = rtc.Transcription(
+                participant_identity=participant.identity,
+                track_id=track.sid,
+                segments=[
+                    rtc.TranscriptionSegment(
+                        id=str(uuid.uuid4()),
+                        text=event.text,
+                        start_time=int(event.timestamp),
+                        end_time=int(event.timestamp),
+                        final=True,
+                    )
+                ],
+                language="",
+            )
+            await self._conversation.room.local_participant.publish_transcription(transcription)
diff --git a/vocode/streaming/models/actions.py b/vocode/streaming/models/actions.py
index 68322a782d..47b7e454cb 100644
--- a/vocode/streaming/models/actions.py
+++ b/vocode/streaming/models/actions.py
@@ -1,21 +1,88 @@
 import asyncio
 from enum import Enum
-from typing import Generic, Optional, TypeVar
-from pydantic import BaseModel
+from typing import Annotated, Generic, List, Literal, Optional, TypeVar, Union
+
+from pydantic.v1 import BaseModel, Field
+
+from vocode.streaming.models.message import BaseMessage
 from vocode.streaming.models.model import TypedModel
 
+TriggerType = Literal["action_trigger_function_call", "action_trigger_phrase_based"]
+
+
+class ActionTriggerConfig(BaseModel):
+    pass
+
+
+class _ActionTrigger(BaseModel):
+    type: TriggerType
+    config: ActionTriggerConfig
+
+
+class FunctionCallActionTriggerConfig(ActionTriggerConfig):
+    pass
+
+
+class FunctionCallActionTrigger(_ActionTrigger):
+    type: Literal["action_trigger_function_call"] = "action_trigger_function_call"
+    config: FunctionCallActionTriggerConfig = Field(default_factory=FunctionCallActionTriggerConfig)
+
+
+PhraseConditionType = Literal["phrase_condition_type_contains"]
+
+
+class PhraseTrigger(BaseModel):
+    phrase: str
+    conditions: List[PhraseConditionType]
+
+
+class PhraseBasedActionTriggerConfig(ActionTriggerConfig):
+    phrase_triggers: List[PhraseTrigger]
+
+
+class PhraseBasedActionTrigger(_ActionTrigger):
+    type: Literal["action_trigger_phrase_based"] = "action_trigger_phrase_based"
+    config: PhraseBasedActionTriggerConfig
+
+
+ActionTrigger = Annotated[
+    Union[FunctionCallActionTrigger, PhraseBasedActionTrigger],
+    Field(discriminator="type"),
+]
+
 
 class ActionType(str, Enum):
     BASE = "action_base"
     NYLAS_SEND_EMAIL = "action_nylas_send_email"
+    WAIT = "action_wait"
+    RECORD_EMAIL = "action_record_email"
+    END_CONVERSATION = "action_end_conversation"
+    EXECUTE_EXTERNAL_ACTION = "action_external"
+
     TRANSFER_CALL = "action_transfer_call"
+    DTMF = "action_dtmf"
 
 
-class ActionConfig(TypedModel, type=ActionType.BASE):
-    pass
+ParametersType = TypeVar("ParametersType", bound=BaseModel)
 
+ACTION_STARTED_FORMAT_STRING = "!STARTING ACTION {action_name} WITH PARAMETERS {action_params}!"
+ACTION_FINISHED_FORMAT_STRING = "!ACTION {action_name} FINISHED WITH OUTPUT {action_output}!"
 
-ParametersType = TypeVar("ParametersType", bound=BaseModel)
+
+class ActionConfig(TypedModel, type=ActionType.BASE):  # type: ignore
+    action_trigger: ActionTrigger = FunctionCallActionTrigger(type="action_trigger_function_call")
+
+    def action_attempt_to_string(self, input: "ActionInput") -> str:
+        return ACTION_STARTED_FORMAT_STRING.format(
+            action_name=self.type,
+            action_params=input.params.json(),
+        )
+
+    def action_result_to_string(self, input: "ActionInput", output: "ActionOutput") -> str:
+        return ACTION_FINISHED_FORMAT_STRING.format(
+            action_name=self.type,
+            action_output=output.response.json(),
+        )
 
 
 class ActionInput(BaseModel, Generic[ParametersType]):
@@ -28,7 +95,6 @@ class Config:
         arbitrary_types_allowed = True
 
 
-
 class FunctionFragment(BaseModel):
     name: str
     arguments: str
@@ -39,11 +105,15 @@ class FunctionCall(BaseModel):
     arguments: str
 
 
-class VonagePhoneCallActionInput(ActionInput[ParametersType]):
+class EndOfTurn(BaseModel):
+    pass
+
+
+class VonagePhoneConversationActionInput(ActionInput[ParametersType]):
     vonage_uuid: str
 
 
-class TwilioPhoneCallActionInput(ActionInput[ParametersType]):
+class TwilioPhoneConversationActionInput(ActionInput[ParametersType]):
     twilio_sid: str
 
 
@@ -52,4 +122,8 @@ class TwilioPhoneCallActionInput(ActionInput[ParametersType]):
 
 class ActionOutput(BaseModel, Generic[ResponseType]):
     action_type: str
+    canned_response: Optional[BaseMessage] = None
     response: ResponseType
+
+
+ExternalActionProcessingMode = Literal["muted"]
diff --git a/vocode/streaming/models/agent.py b/vocode/streaming/models/agent.py
index e6dfc5336c..aa9b63c8fd 100644
--- a/vocode/streaming/models/agent.py
+++ b/vocode/streaming/models/agent.py
@@ -1,25 +1,43 @@
-from typing import List, Optional, Union
 from enum import Enum
-from langchain.prompts import PromptTemplate
+from typing import List, Literal, Optional, Union
 
-from pydantic import validator
-from vocode.streaming.models.actions import ActionConfig
+from pydantic.v1 import validator
 
+from vocode.streaming.models.actions import ActionConfig
 from vocode.streaming.models.message import BaseMessage
-from .model import TypedModel, BaseModel
+
+from .model import BaseModel, TypedModel
 from .vector_db import VectorDBConfig
 
 FILLER_AUDIO_DEFAULT_SILENCE_THRESHOLD_SECONDS = 0.5
 LLM_AGENT_DEFAULT_TEMPERATURE = 1.0
 LLM_AGENT_DEFAULT_MAX_TOKENS = 256
 LLM_AGENT_DEFAULT_MODEL_NAME = "text-curie-001"
-CHAT_GPT_AGENT_DEFAULT_MODEL_NAME = "gpt-3.5-turbo-0613"
+CHAT_GPT_AGENT_DEFAULT_MODEL_NAME = "gpt-3.5-turbo-1106"
+CHAT_GPT_AGENT_16K_MODEL_NAME = "gpt-3.5-turbo-0613-16k"
 ACTION_AGENT_DEFAULT_MODEL_NAME = "gpt-3.5-turbo-0613"
-CHAT_ANTHROPIC_DEFAULT_MODEL_NAME = "claude-v1"
+CHAT_ANTHROPIC_DEFAULT_MODEL_NAME = "claude-3-haiku-20240307"
 CHAT_VERTEX_AI_DEFAULT_MODEL_NAME = "chat-bison@001"
 AZURE_OPENAI_DEFAULT_API_TYPE = "azure"
-AZURE_OPENAI_DEFAULT_API_VERSION = "2023-03-15-preview"
+AZURE_OPENAI_DEFAULT_API_VERSION = "2023-07-01-preview"
 AZURE_OPENAI_DEFAULT_ENGINE = "gpt-35-turbo"
+AZURE_OPENAI_GPT_35_16K_ENGINE = "gpt-35-turbo-16k"
+AZURE_OPENAI_GPT_4_ENGINE = "vocode-api-gpt4"
+OPENAI_GPT_4_MODEL_NAME = "gpt-4"
+OPENAI_GPT_4_32K_MODEL_NAME = "gpt-4-32k"
+OPENAI_GPT_4_O_MODEL_NAME = "gpt-4o"
+OPENAI_GPT_35_TURBO_1106_MODEL_NAME = "gpt-3.5-turbo-1106"
+OPENAI_GPT_4_1106_PREVIEW_MODEL_NAME = "gpt-4-1106-preview"
+ANTHROPIC_CLAUDE_3_HAIKU_MODEL_NAME = "claude-3-haiku-20240307"
+ANTHROPIC_CLAUDE_3_SONNET_MODEL_NAME = "claude-3-sonnet-20240229"
+ANTHROPIC_CLAUDE_3_OPUS_MODEL_NAME = "claude-3-opus-20240229"
+GROQ_DEFAULT_MODEL_NAME = "llama3-70b-8192"
+GROQ_LLAMA3_8B_MODEL_NAME = "llama3-8b-8192"
+GROQ_LLAMA3_70B_MODEL_NAME = "llama3-70b-8192"
+GROQ_MIXTRAL_8X7B_MODEL_NAME = "mixtral-8x7b-32768"
+GROQ_GEMMA_7B_MODEL_NAME = "gemma-7b-it"
+
+InterruptSensitivity = Literal["low", "high"]
 
 
 class AgentType(str, Enum):
@@ -27,15 +45,17 @@ class AgentType(str, Enum):
     LLM = "agent_llm"
     CHAT_GPT_ALPHA = "agent_chat_gpt_alpha"
     CHAT_GPT = "agent_chat_gpt"
-    CHAT_ANTHROPIC = "agent_chat_anthropic"
+    ANTHROPIC = "agent_anthropic"
     CHAT_VERTEX_AI = "agent_chat_vertex_ai"
     ECHO = "agent_echo"
     GPT4ALL = "agent_gpt4all"
     LLAMACPP = "agent_llamacpp"
+    GROQ = "agent_groq"
     INFORMATION_RETRIEVAL = "agent_information_retrieval"
     RESTFUL_USER_IMPLEMENTED = "agent_restful_user_implemented"
     WEBSOCKET_USER_IMPLEMENTED = "agent_websocket_user_implemented"
     ACTION = "agent_action"
+    LANGCHAIN = "agent_langchain"
 
 
 class FillerAudioConfig(BaseModel):
@@ -57,67 +77,99 @@ class WebhookConfig(BaseModel):
 
 
 class AzureOpenAIConfig(BaseModel):
+    base_url: str
+    api_key: str
+    region: str
+    deployment_name: str
+    openai_model_name: str
     api_type: str = AZURE_OPENAI_DEFAULT_API_TYPE
     api_version: Optional[str] = AZURE_OPENAI_DEFAULT_API_VERSION
-    engine: str = AZURE_OPENAI_DEFAULT_ENGINE
 
 
-class AgentConfig(TypedModel, type=AgentType.BASE.value):
+class CutOffResponse(BaseModel):
+    messages: List[BaseMessage] = [BaseMessage(text="Sorry?")]
+
+
+class AgentConfig(TypedModel, type=AgentType.BASE.value):  # type: ignore
     initial_message: Optional[BaseMessage] = None
     generate_responses: bool = True
     allowed_idle_time_seconds: Optional[float] = None
+    num_check_human_present_times: int = 0
     allow_agent_to_be_cut_off: bool = True
     end_conversation_on_goodbye: bool = False
     send_filler_audio: Union[bool, FillerAudioConfig] = False
     webhook_config: Optional[WebhookConfig] = None
-    track_bot_sentiment: bool = False
     actions: Optional[List[ActionConfig]] = None
+    initial_message_delay: float = 0.0
+    goodbye_phrases: Optional[List[str]] = None
+    interrupt_sensitivity: InterruptSensitivity = "low"
+    cut_off_response: Optional[CutOffResponse] = None
 
 
-class CutOffResponse(BaseModel):
-    messages: List[BaseMessage] = [BaseMessage(text="Sorry?")]
-
-
-class LLMAgentConfig(AgentConfig, type=AgentType.LLM.value):
+class LLMAgentConfig(AgentConfig, type=AgentType.LLM.value):  # type: ignore
     prompt_preamble: str
-    expected_first_prompt: Optional[str] = None
     model_name: str = LLM_AGENT_DEFAULT_MODEL_NAME
     temperature: float = LLM_AGENT_DEFAULT_TEMPERATURE
     max_tokens: int = LLM_AGENT_DEFAULT_MAX_TOKENS
-    cut_off_response: Optional[CutOffResponse] = None
 
 
-class ChatGPTAgentConfig(AgentConfig, type=AgentType.CHAT_GPT.value):
+class LLMFallback(BaseModel):
+    provider: Literal["openai", "azure"]
+    model_name: str
+
+
+class ChatGPTAgentConfig(AgentConfig, type=AgentType.CHAT_GPT.value):  # type: ignore
+    openai_api_key: Optional[str] = None
     prompt_preamble: str
-    expected_first_prompt: Optional[str] = None
     model_name: str = CHAT_GPT_AGENT_DEFAULT_MODEL_NAME
+    base_url_override: Optional[str] = None
     temperature: float = LLM_AGENT_DEFAULT_TEMPERATURE
     max_tokens: int = LLM_AGENT_DEFAULT_MAX_TOKENS
-    cut_off_response: Optional[CutOffResponse] = None
     azure_params: Optional[AzureOpenAIConfig] = None
     vector_db_config: Optional[VectorDBConfig] = None
+    # TODO: the below fields should moved up to AgentConfig, and their logic should live in BaseAgent
+    use_backchannels: bool = False
+    backchannel_probability: float = 0.7
+    first_response_filler_message: Optional[str] = None
+    llm_fallback: Optional[LLMFallback] = None
 
 
-class ChatAnthropicAgentConfig(AgentConfig, type=AgentType.CHAT_ANTHROPIC.value):
+class AnthropicAgentConfig(AgentConfig, type=AgentType.ANTHROPIC.value):  # type: ignore
     prompt_preamble: str
     model_name: str = CHAT_ANTHROPIC_DEFAULT_MODEL_NAME
-    max_tokens_to_sample: int = 200
+    max_tokens: int = LLM_AGENT_DEFAULT_MAX_TOKENS
+    temperature: float = LLM_AGENT_DEFAULT_TEMPERATURE
 
 
-class ChatVertexAIAgentConfig(AgentConfig, type=AgentType.CHAT_VERTEX_AI.value):
+class LangchainAgentConfig(AgentConfig, type=AgentType.LANGCHAIN.value):  # type: ignore
+    prompt_preamble: str
+    model_name: str
+    provider: str
+    temperature: float = LLM_AGENT_DEFAULT_TEMPERATURE
+    max_tokens: int = LLM_AGENT_DEFAULT_MAX_TOKENS
+
+
+class ChatVertexAIAgentConfig(AgentConfig, type=AgentType.CHAT_VERTEX_AI.value):  # type: ignore
     prompt_preamble: str
     model_name: str = CHAT_VERTEX_AI_DEFAULT_MODEL_NAME
     generate_responses: bool = False  # Google Vertex AI doesn't support streaming
 
 
-class LlamacppAgentConfig(AgentConfig, type=AgentType.LLAMACPP.value):
+class GroqAgentConfig(AgentConfig, type=AgentType.GROQ.value):  # type: ignore
+    groq_api_key: Optional[str] = None
     prompt_preamble: str
-    llamacpp_kwargs: dict = {}
-    prompt_template: Optional[Union[PromptTemplate, str]] = None
+    model_name: str = GROQ_DEFAULT_MODEL_NAME
+    temperature: float = LLM_AGENT_DEFAULT_TEMPERATURE
+    max_tokens: int = LLM_AGENT_DEFAULT_MAX_TOKENS
+    vector_db_config: Optional[VectorDBConfig] = None
+    # TODO: the below fields should moved up to AgentConfig, and their logic should live in BaseAgent
+    use_backchannels: bool = False
+    backchannel_probability: float = 0.7
+    first_response_filler_message: Optional[str] = None
 
 
 class InformationRetrievalAgentConfig(
-    AgentConfig, type=AgentType.INFORMATION_RETRIEVAL.value
+    AgentConfig, type=AgentType.INFORMATION_RETRIEVAL.value  # type: ignore
 ):
     recipient_descriptor: str
     caller_descriptor: str
@@ -126,18 +178,18 @@ class InformationRetrievalAgentConfig(
     # TODO: add fields for IVR, voicemail
 
 
-class EchoAgentConfig(AgentConfig, type=AgentType.ECHO.value):
+class EchoAgentConfig(AgentConfig, type=AgentType.ECHO.value):  # type: ignore
     pass
 
 
-class GPT4AllAgentConfig(AgentConfig, type=AgentType.GPT4ALL.value):
+class GPT4AllAgentConfig(AgentConfig, type=AgentType.GPT4ALL.value):  # type: ignore
     prompt_preamble: str
     model_path: str
     generate_responses: bool = False
 
 
 class RESTfulUserImplementedAgentConfig(
-    AgentConfig, type=AgentType.RESTFUL_USER_IMPLEMENTED.value
+    AgentConfig, type=AgentType.RESTFUL_USER_IMPLEMENTED.value  # type: ignore
 ):
     class EndpointConfig(BaseModel):
         url: str
@@ -159,13 +211,13 @@ class RESTfulAgentOutputType(str, Enum):
     END = "restful_agent_end"
 
 
-class RESTfulAgentOutput(TypedModel, type=RESTfulAgentOutputType.BASE):
+class RESTfulAgentOutput(TypedModel, type=RESTfulAgentOutputType.BASE):  # type: ignore
     pass
 
 
-class RESTfulAgentText(RESTfulAgentOutput, type=RESTfulAgentOutputType.TEXT):
+class RESTfulAgentText(RESTfulAgentOutput, type=RESTfulAgentOutputType.TEXT):  # type: ignore
     response: str
 
 
-class RESTfulAgentEnd(RESTfulAgentOutput, type=RESTfulAgentOutputType.END):
+class RESTfulAgentEnd(RESTfulAgentOutput, type=RESTfulAgentOutputType.END):  # type: ignore
     pass
diff --git a/vocode/streaming/models/audio.py b/vocode/streaming/models/audio.py
new file mode 100644
index 0000000000..42108a7831
--- /dev/null
+++ b/vocode/streaming/models/audio.py
@@ -0,0 +1,15 @@
+from enum import Enum
+
+
+class AudioEncoding(str, Enum):
+    LINEAR16 = "linear16"
+    MULAW = "mulaw"
+
+
+class SamplingRate(int, Enum):
+    RATE_8000 = 8000
+    RATE_16000 = 16000
+    RATE_22050 = 22050
+    RATE_24000 = 24000
+    RATE_44100 = 44100
+    RATE_48000 = 48000
diff --git a/vocode/streaming/models/audio_encoding.py b/vocode/streaming/models/audio_encoding.py
deleted file mode 100644
index 1fd3240021..0000000000
--- a/vocode/streaming/models/audio_encoding.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from enum import Enum
-
-
-class AudioEncoding(str, Enum):
-    LINEAR16 = "linear16"
-    MULAW = "mulaw"
diff --git a/vocode/streaming/models/client_backend.py b/vocode/streaming/models/client_backend.py
index da4f3de76c..e655f32b39 100644
--- a/vocode/streaming/models/client_backend.py
+++ b/vocode/streaming/models/client_backend.py
@@ -1,5 +1,6 @@
 from typing import Optional
-from vocode.streaming.models.audio_encoding import AudioEncoding
+
+from vocode.streaming.models.audio import AudioEncoding
 from vocode.streaming.models.model import BaseModel
 
 
diff --git a/vocode/streaming/models/events.py b/vocode/streaming/models/events.py
index aa0c9883d8..901fd3a333 100644
--- a/vocode/streaming/models/events.py
+++ b/vocode/streaming/models/events.py
@@ -1,5 +1,6 @@
 from enum import Enum
 from typing import Optional
+
 from vocode.streaming.models.model import TypedModel
 
 
@@ -8,6 +9,7 @@ class Sender(str, Enum):
     BOT = "bot"
     ACTION_WORKER = "action_worker"
     VECTOR_DB = "vector_db"
+    CONFERENCE = "conference"
 
 
 class EventType(str, Enum):
@@ -15,6 +17,7 @@ class EventType(str, Enum):
     TRANSCRIPT_COMPLETE = "event_transcript_complete"
     PHONE_CALL_CONNECTED = "event_phone_call_connected"
     PHONE_CALL_ENDED = "event_phone_call_ended"
+    PHONE_CALL_DID_NOT_CONNECT = "event_phone_call_did_not_connect"
     RECORDING = "event_recording"
     ACTION = "event_action"
 
@@ -23,19 +26,23 @@ class Event(TypedModel):
     conversation_id: str
 
 
-class PhoneCallConnectedEvent(Event, type=EventType.PHONE_CALL_CONNECTED):
+class PhoneCallConnectedEvent(Event, type=EventType.PHONE_CALL_CONNECTED):  # type: ignore
     to_phone_number: str
     from_phone_number: str
 
 
-class PhoneCallEndedEvent(Event, type=EventType.PHONE_CALL_ENDED):
+class PhoneCallEndedEvent(Event, type=EventType.PHONE_CALL_ENDED):  # type: ignore
     conversation_minutes: float = 0
 
 
-class RecordingEvent(Event, type=EventType.RECORDING):
+class PhoneCallDidNotConnectEvent(Event, type=EventType.PHONE_CALL_DID_NOT_CONNECT):  # type: ignore
+    telephony_status: str
+
+
+class RecordingEvent(Event, type=EventType.RECORDING):  # type: ignore
     recording_url: str
 
 
-class ActionEvent(Event, type=EventType.ACTION):
+class ActionEvent(Event, type=EventType.ACTION):  # type: ignore
     action_input: Optional[dict] = None
-    action_output: Optional[dict] = None
\ No newline at end of file
+    action_output: Optional[dict] = None
diff --git a/vocode/streaming/models/message.py b/vocode/streaming/models/message.py
index 529e7dac47..db32f9e29a 100644
--- a/vocode/streaming/models/message.py
+++ b/vocode/streaming/models/message.py
@@ -1,16 +1,34 @@
 from enum import Enum
+from typing import Optional
+
 from .model import TypedModel
-from enum import Enum
 
 
 class MessageType(str, Enum):
     BASE = "message_base"
     SSML = "message_ssml"
+    BOT_BACKCHANNEL = "bot_backchannel"
+    LLM_TOKEN = "llm_token"
 
 
-class BaseMessage(TypedModel, type=MessageType.BASE):
+class BaseMessage(TypedModel, type=MessageType.BASE):  # type: ignore
     text: str
+    trailing_silence_seconds: float = 0.0
+    cache_phrase: Optional[str] = None
 
 
-class SSMLMessage(BaseMessage, type=MessageType.SSML):
+class SSMLMessage(BaseMessage, type=MessageType.SSML):  # type: ignore
     ssml: str
+
+
+class BotBackchannel(BaseMessage, type=MessageType.BOT_BACKCHANNEL):  # type: ignore
+    pass
+
+
+class LLMToken(BaseMessage, type=MessageType.LLM_TOKEN):  # type: ignore
+    pass
+
+
+class SilenceMessage(BotBackchannel):
+    text: str = "<silence>"
+    trailing_silence_seconds: float = 1.0
diff --git a/vocode/streaming/models/model.py b/vocode/streaming/models/model.py
index 42a4590db1..05ec13f6e6 100644
--- a/vocode/streaming/models/model.py
+++ b/vocode/streaming/models/model.py
@@ -1,12 +1,15 @@
 from typing import Any, List, Tuple
-import pydantic
 
+from pydantic.v1 import BaseModel as Pydantic1BaseModel
 
-class BaseModel(pydantic.BaseModel):
+
+class BaseModel(Pydantic1BaseModel):
     def __init__(self, **data):
         for key, value in data.items():
             if isinstance(value, dict):
-                if "type" in value:
+                if (
+                    "type" in value and key != "action_trigger"
+                ):  # TODO: this is a quick workaround until we get a vocode object version of action trigger (ajay has approved it)
                     data[key] = TypedModel.parse_obj(value)
             if isinstance(value, list):
                 for i, v in enumerate(value):
@@ -20,7 +23,7 @@ def __init__(self, **data):
 class TypedModel(BaseModel):
     _subtypes_: List[Tuple[Any, Any]] = []
 
-    def __init_subclass__(cls, type=None):
+    def __init_subclass__(cls, type=None):  # type: ignore
         cls._subtypes_.append((type, cls))
 
     @classmethod
diff --git a/vocode/streaming/models/synthesizer.py b/vocode/streaming/models/synthesizer.py
index e872e01b0b..54a38830e9 100644
--- a/vocode/streaming/models/synthesizer.py
+++ b/vocode/streaming/models/synthesizer.py
@@ -1,16 +1,14 @@
 from enum import Enum
-from typing import Any, Dict, List, Optional, Union
+from typing import Any, Dict, List, Literal, Optional, Union
+
+from pydantic.v1 import validator
 
-from pydantic import validator
 from vocode.streaming.models.client_backend import OutputAudioConfig
+from vocode.streaming.output_device.abstract_output_device import AbstractOutputDevice
+from vocode.streaming.telephony.constants import DEFAULT_AUDIO_ENCODING, DEFAULT_SAMPLING_RATE
 
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
-from vocode.streaming.telephony.constants import (
-    DEFAULT_AUDIO_ENCODING,
-    DEFAULT_SAMPLING_RATE,
-)
+from .audio import AudioEncoding, SamplingRate
 from .model import BaseModel, TypedModel
-from .audio_encoding import AudioEncoding
 
 
 class SynthesizerType(str, Enum):
@@ -25,6 +23,8 @@ class SynthesizerType(str, Enum):
     COQUI_TTS = "synthesizer_coqui_tts"
     COQUI = "synthesizer_coqui"
     BARK = "synthesizer_bark"
+    POLLY = "synthesizer_polly"
+    CARTESIA = "synthesizer_cartesia"
 
 
 class SentimentConfig(BaseModel):
@@ -37,7 +37,7 @@ def emotions_must_not_be_empty(cls, v):
         return v
 
 
-class SynthesizerConfig(TypedModel, type=SynthesizerType.BASE.value):
+class SynthesizerConfig(TypedModel, type=SynthesizerType.BASE.value):  # type: ignore
     sampling_rate: int
     audio_encoding: AudioEncoding
     should_encode_as_wav: bool = False
@@ -47,7 +47,7 @@ class Config:
         arbitrary_types_allowed = True
 
     @classmethod
-    def from_output_device(cls, output_device: BaseOutputDevice, **kwargs):
+    def from_output_device(cls, output_device: AbstractOutputDevice, **kwargs):
         return cls(
             sampling_rate=output_device.sampling_rate,
             audio_encoding=output_device.audio_encoding,
@@ -58,9 +58,7 @@ def from_output_device(cls, output_device: BaseOutputDevice, **kwargs):
     @classmethod
     def from_telephone_output_device(cls, **kwargs):
         return cls(
-            sampling_rate=DEFAULT_SAMPLING_RATE,
-            audio_encoding=DEFAULT_AUDIO_ENCODING,
-            **kwargs
+            sampling_rate=DEFAULT_SAMPLING_RATE, audio_encoding=DEFAULT_AUDIO_ENCODING, **kwargs
         )
 
     @classmethod
@@ -77,10 +75,11 @@ def from_output_audio_config(cls, output_audio_config: OutputAudioConfig, **kwar
 AZURE_SYNTHESIZER_DEFAULT_RATE = 15
 
 
-class AzureSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.AZURE.value):
+class AzureSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.AZURE.value):  # type: ignore
     voice_name: str = AZURE_SYNTHESIZER_DEFAULT_VOICE_NAME
     pitch: int = AZURE_SYNTHESIZER_DEFAULT_PITCH
     rate: int = AZURE_SYNTHESIZER_DEFAULT_RATE
+    language_code: str = "en-US"
 
 
 DEFAULT_GOOGLE_LANGUAGE_CODE = "en-US"
@@ -89,7 +88,7 @@ class AzureSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.AZURE.value
 DEFAULT_GOOGLE_SPEAKING_RATE = 1.2
 
 
-class GoogleSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.GOOGLE.value):
+class GoogleSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.GOOGLE.value):  # type: ignore
     language_code: str = DEFAULT_GOOGLE_LANGUAGE_CODE
     voice_name: str = DEFAULT_GOOGLE_VOICE_NAME
     pitch: float = DEFAULT_GOOGLE_PITCH
@@ -100,15 +99,17 @@ class GoogleSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.GOOGLE.val
 
 
 class ElevenLabsSynthesizerConfig(
-    SynthesizerConfig, type=SynthesizerType.ELEVEN_LABS.value
+    SynthesizerConfig, type=SynthesizerType.ELEVEN_LABS.value  # type: ignore
 ):
     api_key: Optional[str] = None
     voice_id: Optional[str] = ELEVEN_LABS_ADAM_VOICE_ID
     optimize_streaming_latency: Optional[int]
-    experimental_streaming: Optional[bool] = False
+    experimental_streaming: bool = False
     stability: Optional[float]
     similarity_boost: Optional[float]
     model_id: Optional[str]
+    experimental_websocket: bool = False
+    backchannel_amplitude_factor: float = 0.5
 
     @validator("voice_id")
     def set_name(cls, voice_id):
@@ -118,35 +119,46 @@ def set_name(cls, voice_id):
     def stability_and_similarity_boost_check(cls, similarity_boost, values):
         stability = values.get("stability")
         if (stability is None) != (similarity_boost is None):
-            raise ValueError(
-                "Both stability and similarity_boost must be set or not set."
-            )
+            raise ValueError("Both stability and similarity_boost must be set or not set.")
         return similarity_boost
 
     @validator("optimize_streaming_latency")
     def optimize_streaming_latency_check(cls, optimize_streaming_latency):
-        if optimize_streaming_latency is not None and not (
-            0 <= optimize_streaming_latency <= 4
-        ):
+        if optimize_streaming_latency is not None and not (0 <= optimize_streaming_latency <= 4):
             raise ValueError("optimize_streaming_latency must be between 0 and 4.")
         return optimize_streaming_latency
 
+    @validator("backchannel_amplitude_factor")
+    def backchannel_amplitude_factor_check(cls, backchannel_amplitude_factor):
+        if backchannel_amplitude_factor is not None and not (0 < backchannel_amplitude_factor <= 1):
+            raise ValueError(
+                "backchannel_amplitude_factor must be between 0 (not inclusive) and 1."
+            )
+        return backchannel_amplitude_factor
 
+
+RIME_DEFAULT_BASE_URL = "https://users.rime.ai/v1/rime-tts"
+RIME_DEFAULT_MODEL_ID = None
 RIME_DEFAULT_SPEAKER = "young_male_unmarked-1"
-RIME_DEFAULT_SAMPLE_RATE = 22050
-RIME_DEFAULT_BASE_URL = "https://rjmopratfrdjgmfmaios.functions.supabase.co/rime-tts"
+RIME_DEFAULT_SPEED_ALPHA = 1.0
+RIME_DEFAULT_SAMPLE_RATE = SamplingRate.RATE_22050
+RIME_DEFAULT_REDUCE_LATENCY = False
+RimeModelId = Literal["mist", "v1"]
 
 
-class RimeSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.RIME.value):
+class RimeSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.RIME.value):  # type: ignore
+    base_url: str = RIME_DEFAULT_BASE_URL
+    model_id: Optional[Literal[RimeModelId]] = RIME_DEFAULT_MODEL_ID
     speaker: str = RIME_DEFAULT_SPEAKER
+    speed_alpha: Optional[float] = RIME_DEFAULT_SPEED_ALPHA
     sampling_rate: int = RIME_DEFAULT_SAMPLE_RATE
-    base_url: str = RIME_DEFAULT_BASE_URL
+    reduce_latency: Optional[bool] = RIME_DEFAULT_REDUCE_LATENCY
 
 
 COQUI_DEFAULT_SPEAKER_ID = "ebe2db86-62a6-49a1-907a-9a1360d4416e"
 
 
-class CoquiSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.COQUI.value):
+class CoquiSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.COQUI.value):  # type: ignore
     api_key: Optional[str] = None
     voice_id: Optional[str] = COQUI_DEFAULT_SPEAKER_ID
     voice_prompt: Optional[str] = None
@@ -159,27 +171,36 @@ def override_voice_id_with_prompt(cls, voice_id, values):
         return voice_id or COQUI_DEFAULT_SPEAKER_ID
 
 
-PLAYHT_DEFAULT_VOICE_ID = "larry"
+PlayHtVoiceVersionType = Literal["1", "2"]
 
 
-class PlayHtSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.PLAY_HT.value):
+class PlayHtSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.PLAY_HT.value):  # type: ignore
+    voice_id: str
     api_key: Optional[str] = None
     user_id: Optional[str] = None
-    speed: Optional[int] = None
+    speed: Optional[float] = None
     seed: Optional[int] = None
-    temperature: Optional[int] = None
-    voice_id: str = PLAYHT_DEFAULT_VOICE_ID
+    temperature: Optional[float] = None
+    quality: Optional[str] = None
+    experimental_streaming: bool = False
+    version: Literal[PlayHtVoiceVersionType] = "2"
+    top_p: Optional[float] = None
+    text_guidance: Optional[float] = None
+    voice_guidance: Optional[float] = None
+    on_prem: bool = False
+    on_prem_provider: Literal["aws", "gcp"] = "gcp"
+    experimental_remove_silence: bool = False
 
 
 class CoquiTTSSynthesizerConfig(
-    SynthesizerConfig, type=SynthesizerType.COQUI_TTS.value
+    SynthesizerConfig, type=SynthesizerType.COQUI_TTS.value  # type: ignore
 ):
     tts_kwargs: dict = {}
     speaker: Optional[str] = None
     language: Optional[str] = None
 
 
-class GTTSSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.GTTS.value):
+class GTTSSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.GTTS.value):  # type: ignore
     pass
 
 
@@ -187,11 +208,40 @@ class GTTSSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.GTTS.value):
 
 
 class StreamElementsSynthesizerConfig(
-    SynthesizerConfig, type=SynthesizerType.STREAM_ELEMENTS.value
+    SynthesizerConfig, type=SynthesizerType.STREAM_ELEMENTS.value  # type: ignore
 ):
     voice: str = STREAM_ELEMENTS_SYNTHESIZER_DEFAULT_VOICE
 
 
-class BarkSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.BARK.value):
+class BarkSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.BARK.value):  # type: ignore
     preload_kwargs: Dict[str, Any] = {}
     generate_kwargs: Dict[str, Any] = {}
+
+
+DEFAULT_POLLY_LANGUAGE_CODE = "en-US"
+DEFAULT_POLLY_VOICE_ID = "Matthew"
+DEFAULT_POLLY_SAMPLING_RATE = SamplingRate.RATE_16000.value
+
+
+class PollySynthesizerConfig(SynthesizerConfig, type=SynthesizerType.POLLY.value):  # type: ignore
+    language_code: str = DEFAULT_POLLY_LANGUAGE_CODE
+    voice_id: str = DEFAULT_POLLY_VOICE_ID
+    sampling_rate: int = DEFAULT_POLLY_SAMPLING_RATE
+
+
+DEFAULT_CARTESIA_MODEL_ID = "sonic-english"
+DEFAULT_CARTESIA_VOICE_ID = "f9836c6e-a0bd-460e-9d3c-f7299fa60f94"
+
+
+class CartesiaVoiceControls(BaseModel):
+    """See https://docs.cartesia.ai/user-guides/voice-control"""
+
+    speed: Optional[Union[float, str]] = None
+    emotion: Optional[List[str]] = None
+
+
+class CartesiaSynthesizerConfig(SynthesizerConfig, type=SynthesizerType.CARTESIA.value):  # type: ignore
+    api_key: Optional[str] = None
+    model_id: str = DEFAULT_CARTESIA_MODEL_ID
+    voice_id: str = DEFAULT_CARTESIA_VOICE_ID
+    experimental_voice_controls: Optional[CartesiaVoiceControls] = None
diff --git a/vocode/streaming/models/telephony.py b/vocode/streaming/models/telephony.py
index 616a85b146..cd01b3ced5 100644
--- a/vocode/streaming/models/telephony.py
+++ b/vocode/streaming/models/telephony.py
@@ -1,12 +1,9 @@
 from enum import Enum
-from typing import Any, Dict, Optional
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.models.model import BaseModel, TypedModel
+from typing import Any, Dict, Literal, Optional, Union
+
 from vocode.streaming.models.agent import AgentConfig
-from vocode.streaming.models.synthesizer import (
-    AzureSynthesizerConfig,
-    SynthesizerConfig,
-)
+from vocode.streaming.models.model import BaseModel, TypedModel
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig, SynthesizerConfig
 from vocode.streaming.models.transcriber import (
     DeepgramTranscriberConfig,
     PunctuationEndpointingConfig,
@@ -16,25 +13,28 @@
     DEFAULT_AUDIO_ENCODING,
     DEFAULT_CHUNK_SIZE,
     DEFAULT_SAMPLING_RATE,
-    VONAGE_CHUNK_SIZE,
     VONAGE_AUDIO_ENCODING,
+    VONAGE_CHUNK_SIZE,
     VONAGE_SAMPLING_RATE,
 )
 
 
-class TwilioConfig(BaseModel):
+class TelephonyProviderConfig(BaseModel):
+    record: bool = False
+
+
+class TwilioConfig(TelephonyProviderConfig):
     account_sid: str
     auth_token: str
-    record: bool = False
     extra_params: Optional[Dict[str, Any]] = {}
+    account_supports_any_caller_id: bool = True
 
 
-class VonageConfig(BaseModel):
+class VonageConfig(TelephonyProviderConfig):
     api_key: str
     api_secret: str
     application_id: str
     private_key: str
-    record: bool = False
 
 
 class CallEntity(BaseModel):
@@ -91,12 +91,19 @@ class CallConfigType(str, Enum):
     VONAGE = "call_config_vonage"
 
 
-class BaseCallConfig(TypedModel, type=CallConfigType.BASE.value):
+PhoneCallDirection = Literal["inbound", "outbound"]
+
+
+class BaseCallConfig(TypedModel, type=CallConfigType.BASE.value):  # type: ignore
     transcriber_config: TranscriberConfig
     agent_config: AgentConfig
     synthesizer_config: SynthesizerConfig
     from_phone: str
     to_phone: str
+    sentry_tags: Dict[str, str] = {}
+    conference: bool = False
+    telephony_params: Optional[Dict[str, str]] = None
+    direction: PhoneCallDirection
 
     @staticmethod
     def default_transcriber_config():
@@ -107,7 +114,7 @@ def default_synthesizer_config():
         raise NotImplementedError
 
 
-class TwilioCallConfig(BaseCallConfig, type=CallConfigType.TWILIO.value):
+class TwilioCallConfig(BaseCallConfig, type=CallConfigType.TWILIO.value):  # type: ignore
     twilio_config: TwilioConfig
     twilio_sid: str
 
@@ -130,7 +137,7 @@ def default_synthesizer_config():
         )
 
 
-class VonageCallConfig(BaseCallConfig, type=CallConfigType.VONAGE.value):
+class VonageCallConfig(BaseCallConfig, type=CallConfigType.VONAGE.value):  # type: ignore
     vonage_config: VonageConfig
     vonage_uuid: str
     output_to_speaker: bool = False
@@ -152,3 +159,6 @@ def default_synthesizer_config():
             sampling_rate=VONAGE_SAMPLING_RATE,
             audio_encoding=VONAGE_AUDIO_ENCODING,
         )
+
+
+TelephonyConfig = Union[TwilioConfig, VonageConfig]
diff --git a/vocode/streaming/models/transcriber.py b/vocode/streaming/models/transcriber.py
index 79d8f68071..c27d865197 100644
--- a/vocode/streaming/models/transcriber.py
+++ b/vocode/streaming/models/transcriber.py
@@ -1,19 +1,23 @@
 from enum import Enum
 from typing import List, Optional
 
-from pydantic import validator
+from pydantic.v1 import validator
 
+import vocode.streaming.livekit.constants as LiveKitConstants
 from vocode.streaming.input_device.base_input_device import BaseInputDevice
 from vocode.streaming.models.client_backend import InputAudioConfig
+from vocode.streaming.models.model import BaseModel
 from vocode.streaming.telephony.constants import (
     DEFAULT_AUDIO_ENCODING,
     DEFAULT_CHUNK_SIZE,
     DEFAULT_SAMPLING_RATE,
 )
-from .audio_encoding import AudioEncoding
+
+from .audio import AudioEncoding
 from .model import TypedModel
 
 AZURE_DEFAULT_LANGUAGE = "en-US"
+DEEPGRAM_API_WS_URL = "wss://api.deepgram.com"
 
 
 class TranscriberType(str, Enum):
@@ -33,21 +37,21 @@ class EndpointingType(str, Enum):
     PUNCTUATION_BASED = "endpointing_punctuation_based"
 
 
-class EndpointingConfig(TypedModel, type=EndpointingType.BASE):
-    time_cutoff_seconds: float
+class EndpointingConfig(TypedModel, type=EndpointingType.BASE):  # type: ignore
+    pass
 
 
-class TimeEndpointingConfig(EndpointingConfig, type=EndpointingType.TIME_BASED):
+class TimeEndpointingConfig(EndpointingConfig, type=EndpointingType.TIME_BASED):  # type: ignore
     time_cutoff_seconds: float = 0.4
 
 
 class PunctuationEndpointingConfig(
-    EndpointingConfig, type=EndpointingType.PUNCTUATION_BASED
+    EndpointingConfig, type=EndpointingType.PUNCTUATION_BASED  # type: ignore
 ):
     time_cutoff_seconds: float = 0.4
 
 
-class TranscriberConfig(TypedModel, type=TranscriberType.BASE.value):
+class TranscriberConfig(TypedModel, type=TranscriberType.BASE.value):  # type: ignore
     sampling_rate: int
     audio_encoding: AudioEncoding
     chunk_size: int
@@ -102,43 +106,84 @@ def from_input_audio_config(cls, input_audio_config: InputAudioConfig, **kwargs)
             **kwargs,
         )
 
+    @classmethod
+    def from_livekit_input_device(cls, **kwargs):
+        return cls(
+            sampling_rate=LiveKitConstants.DEFAULT_SAMPLING_RATE,
+            audio_encoding=LiveKitConstants.AUDIO_ENCODING,
+            chunk_size=LiveKitConstants.DEFAULT_CHUNK_SIZE,
+            **kwargs,
+        )
+
 
-class DeepgramTranscriberConfig(TranscriberConfig, type=TranscriberType.DEEPGRAM.value):
+class DeepgramTranscriberConfig(TranscriberConfig, type=TranscriberType.DEEPGRAM.value):  # type: ignore
     language: Optional[str] = None
     model: Optional[str] = "nova"
     tier: Optional[str] = None
     version: Optional[str] = None
     keywords: Optional[list] = None
+    api_key: Optional[str] = None
+    on_prem: bool = False
+    ws_url: str = DEEPGRAM_API_WS_URL
 
 
-class GladiaTranscriberConfig(TranscriberConfig, type=TranscriberType.GLADIA.value):
+class GladiaTranscriberConfig(TranscriberConfig, type=TranscriberType.GLADIA.value):  # type: ignore
     buffer_size_seconds: float = 0.1
 
 
-class GoogleTranscriberConfig(TranscriberConfig, type=TranscriberType.GOOGLE.value):
+class GoogleTranscriberConfig(TranscriberConfig, type=TranscriberType.GOOGLE.value):  # type: ignore
     model: Optional[str] = None
     language_code: str = "en-US"
 
 
-class AzureTranscriberConfig(TranscriberConfig, type=TranscriberType.AZURE.value):
+class AzureTranscriberConfig(TranscriberConfig, type=TranscriberType.AZURE.value):  # type: ignore
     language: str = AZURE_DEFAULT_LANGUAGE
     candidate_languages: Optional[List[str]] = None
 
 
 class AssemblyAITranscriberConfig(
-    TranscriberConfig, type=TranscriberType.ASSEMBLY_AI.value
+    TranscriberConfig, type=TranscriberType.ASSEMBLY_AI.value  # type: ignore
 ):
     buffer_size_seconds: float = 0.1
     word_boost: Optional[List[str]] = None
+    end_utterance_silence_threshold_milliseconds: Optional[int] = None
 
 
 class WhisperCPPTranscriberConfig(
-    TranscriberConfig, type=TranscriberType.WHISPER_CPP.value
+    TranscriberConfig, type=TranscriberType.WHISPER_CPP.value  # type: ignore
 ):
     buffer_size_seconds: float = 1
     libname: str
     fname_model: str
 
 
-class RevAITranscriberConfig(TranscriberConfig, type=TranscriberType.REV_AI.value):
+class RevAITranscriberConfig(TranscriberConfig, type=TranscriberType.REV_AI.value):  # type: ignore
     pass
+
+
+class Transcription(BaseModel):
+    message: str
+    confidence: float
+    is_final: bool
+    is_interrupt: bool = False
+    bot_was_in_medias_res: bool = False
+    duration_seconds: Optional[float] = None  # gets added only on final transcription
+
+    def __str__(self):
+        return (
+            f"Transcription(message={self.message}, "
+            + f"confidence={self.confidence}, "
+            + f"is_final={self.is_final}, "
+            + f"is_interrupt={self.is_interrupt}, "
+            + f"bot_was_in_medias_res={self.bot_was_in_medias_res}, "
+            + f"duration_seconds={self.duration_seconds}, "
+            + f"wpm={self.wpm()}"
+            + ")"
+        )
+
+    def wpm(self) -> Optional[float]:
+        return (
+            60 * len(self.message.split()) / self.duration_seconds
+            if self.duration_seconds
+            else None
+        )
diff --git a/vocode/streaming/models/transcript.py b/vocode/streaming/models/transcript.py
index aa17fb3efe..380047d3a9 100644
--- a/vocode/streaming/models/transcript.py
+++ b/vocode/streaming/models/transcript.py
@@ -1,10 +1,11 @@
 import time
-from typing import Any, Dict, List, Optional, Union
-from pydantic import BaseModel, Field
-from enum import Enum
-from vocode.streaming.models.actions import ActionInput, ActionOutput
-from vocode.streaming.models.events import ActionEvent, Sender, Event, EventType
+from datetime import datetime
+from typing import List, Literal, Optional
+
+from pydantic.v1 import BaseModel, Field
 
+from vocode.streaming.models.actions import ActionInput, ActionOutput
+from vocode.streaming.models.events import ActionEvent, Event, EventType, Sender
 from vocode.streaming.utils.events_manager import EventsManager
 
 
@@ -15,14 +16,34 @@ class EventLog(BaseModel):
     def to_string(self, include_timestamp: bool = False) -> str:
         raise NotImplementedError
 
+    def get_timestamp_string(self, start_timestamp: float) -> str:
+        dt = datetime.fromtimestamp(self.timestamp - start_timestamp)
+        return f"[{dt.strftime('%M:%S')}.{dt.microsecond // 10000:02}]"
+
 
 class Message(EventLog):
     text: str
+    is_final: bool = False
+    is_backchannel: bool = False
+    is_end_of_turn: bool = False
 
-    def to_string(self, include_timestamp: bool = False) -> str:
+    def to_string(
+        self,
+        include_timestamp: bool = False,
+        mark_human_backchannels_with_brackets: bool = False,
+        include_sender: bool = True,
+    ) -> str:
+        text = self.text
+        if not self.is_final and self.sender == Sender.BOT:
+            text = f"{text}-"
+        if self.is_backchannel and mark_human_backchannels_with_brackets:
+            text = f"[{text}]"
         if include_timestamp:
-            return f"{self.sender.name}: {self.text} ({self.timestamp})"
-        return f"{self.sender.name}: {self.text}"
+            return f"{self.sender.name}: {text} ({self.timestamp})"
+        elif include_sender:
+            return f"{self.sender.name}: {text}"
+        else:
+            return text
 
 
 class ActionStart(EventLog):
@@ -30,21 +51,69 @@ class ActionStart(EventLog):
     action_type: str
     action_input: ActionInput
 
-    def to_string(self, include_timestamp: bool = False):
+    def to_string(self, include_timestamp: bool = False, include_header: bool = True):
+        main_string = self.action_input.action_config.action_attempt_to_string(self.action_input)
+        if include_header:
+            main_string = f"BOT_ACTION_START: {main_string}"
         if include_timestamp:
-            return f"{Sender.ACTION_WORKER.name}: params={self.action_input.params.dict()} ({self.timestamp})"
-        return f"{Sender.ACTION_WORKER.name}: params={self.action_input.params.dict()}"
+            return f"{main_string} ({self.timestamp})"
+        return main_string
 
 
 class ActionFinish(EventLog):
     sender: Sender = Sender.ACTION_WORKER
     action_type: str
+    action_input: ActionInput
     action_output: ActionOutput
 
-    def to_string(self, include_timestamp: bool = False):
+    def to_string(self, include_timestamp: bool = False, include_header: bool = True):
+        main_string = self.action_input.action_config.action_result_to_string(
+            self.action_input, self.action_output
+        )
+        if include_header:
+            main_string = f"BOT_ACTION_FINISH: {main_string}"
+        if include_timestamp:
+            return f"{main_string} ({self.timestamp})"
+        return main_string
+
+
+ConferenceEventType = Literal[
+    "participant_joined", "participant_left", "participant_unanswered", "voicemail"
+]
+ConferenceEventRole = Literal["primary", "transfer"]
+
+
+class ConferenceEvent(EventLog):
+    sender: Sender = Sender.CONFERENCE
+    conference_event_type: ConferenceEventType
+    conference_event_role: ConferenceEventRole
+    participant_phone_number: str
+
+    def to_string(self, include_timestamp: bool = False, include_sender: bool = True):
+        if (
+            self.conference_event_type == "participant_unanswered"
+            or self.conference_event_type == "voicemail"
+        ):
+            msg_string = f"{self.conference_event_role.capitalize()} number ({self.participant_phone_number}) did not join the conference because they are busy"
+        else:
+            verb = "joined" if self.conference_event_type == "participant_joined" else "left"
+            msg_string = f"{self.conference_event_role.capitalize()} number ({self.participant_phone_number}) {verb} the conference"
+        if include_sender:
+            msg_string = f"CONFERENCE_EVENT: {msg_string}"
+        if include_timestamp:
+            return f"{msg_string} ({self.timestamp})"
+        return msg_string
+
+
+class TranscriptEvent(Event, type=EventType.TRANSCRIPT):  # type: ignore
+    text: str
+    sender: Sender
+    timestamp: float
+
+    def to_string(self, include_timestamp: bool = False) -> str:
         if include_timestamp:
-            return f"{Sender.ACTION_WORKER.name}: action_type='{self.action_type}' response={self.action_output.response.dict()} ({self.timestamp})"
-        return f"{Sender.ACTION_WORKER.name}: action_type='{self.action_type}' response={self.action_output.response.dict()}"
+            return f"{self.sender.name}: {self.text} ({self.timestamp})"
+        return f"{self.sender.name}: {self.text}"
 
 
 class Transcript(BaseModel):
@@ -55,18 +124,29 @@ class Transcript(BaseModel):
     class Config:
         arbitrary_types_allowed = True
 
+    def to_string(
+        self, include_timestamps: bool = False, mark_human_backchannels_with_brackets: bool = False
+    ) -> str:
+        event_strings = []
+        for event in self.event_logs:
+            if isinstance(event, Message):
+                event_string = event.to_string(
+                    include_timestamp=False,
+                    mark_human_backchannels_with_brackets=mark_human_backchannels_with_brackets,
+                )
+            else:
+                event_string = event.to_string(include_timestamp=False)
+
+            if include_timestamps:
+                event_string = f"{event.get_timestamp_string(self.start_time)} {event_string}"
+            event_strings.append(event_string)
+
+        return "\n".join(event_strings)
+
     def attach_events_manager(self, events_manager: EventsManager):
         self.events_manager = events_manager
 
-    def to_string(self, include_timestamps: bool = False) -> str:
-        return "\n".join(
-            event.to_string(include_timestamp=include_timestamps)
-            for event in self.event_logs
-        )
-
-    def maybe_publish_transcript_event_from_message(
-        self, message: Message, conversation_id: str
-    ):
+    def maybe_publish_transcript_event_from_message(self, message: Message, conversation_id: str):
         if self.events_manager is not None:
             self.events_manager.publish_event(
                 TranscriptEvent(
@@ -82,10 +162,18 @@ def add_message_from_props(
         text: str,
         sender: Sender,
         conversation_id: str,
+        is_final: bool = False,
+        is_backchannel: bool = False,
         publish_to_events_manager: bool = True,
     ):
         timestamp = time.time()
-        message = Message(text=text, sender=sender, timestamp=timestamp)
+        message = Message(
+            text=text,
+            sender=sender,
+            timestamp=timestamp,
+            is_final=is_final,
+            is_backchannel=is_backchannel,
+        )
         self.event_logs.append(message)
         if publish_to_events_manager:
             self.maybe_publish_transcript_event_from_message(
@@ -104,18 +192,20 @@ def add_message(
                 message=message, conversation_id=conversation_id
             )
 
-    def add_human_message(self, text: str, conversation_id: str):
+    def add_human_message(self, text: str, conversation_id: str, is_backchannel: bool = False):
         self.add_message_from_props(
             text=text,
             sender=Sender.HUMAN,
             conversation_id=conversation_id,
+            is_backchannel=is_backchannel,
         )
 
-    def add_bot_message(self, text: str, conversation_id: str):
+    def add_bot_message(self, text: str, conversation_id: str, is_final: bool = False):
         self.add_message_from_props(
             text=text,
             sender=Sender.BOT,
             conversation_id=conversation_id,
+            is_final=is_final,
         )
 
     def get_last_user_message(self):
@@ -149,6 +239,7 @@ def add_action_finish_log(
         timestamp = time.time()
         self.event_logs.append(
             ActionFinish(
+                action_input=action_input,
                 action_output=action_output,
                 action_type=action_output.action_type,
                 timestamp=timestamp,
@@ -170,17 +261,17 @@ def update_last_bot_message_on_cut_off(self, text: str):
                 event_log.text = text
                 break
 
-
-class TranscriptEvent(Event, type=EventType.TRANSCRIPT):
-    text: str
-    sender: Sender
-    timestamp: float
-
-    def to_string(self, include_timestamp: bool = False) -> str:
-        if include_timestamp:
-            return f"{self.sender.name}: {self.text} ({self.timestamp})"
-        return f"{self.sender.name}: {self.text}"
+    def was_last_message_interrupted(self):
+        bot_messages = [
+            message
+            for message in self.event_logs
+            if isinstance(message, Message) and message.sender == Sender.BOT
+        ]
+        if len(bot_messages) > 0:
+            last_bot_message = bot_messages[-1]
+            return not last_bot_message.is_final or not last_bot_message.is_end_of_turn
+        return False
 
 
-class TranscriptCompleteEvent(Event, type=EventType.TRANSCRIPT_COMPLETE):
+class TranscriptCompleteEvent(Event, type=EventType.TRANSCRIPT_COMPLETE):  # type: ignore
     transcript: Transcript
diff --git a/vocode/streaming/models/vector_db.py b/vocode/streaming/models/vector_db.py
index 719c9ef02d..44fdf64c6d 100644
--- a/vocode/streaming/models/vector_db.py
+++ b/vocode/streaming/models/vector_db.py
@@ -1,5 +1,6 @@
 from enum import Enum
 from typing import Optional
+
 from .model import TypedModel
 
 DEFAULT_EMBEDDINGS_MODEL = "text-embedding-ada-002"
@@ -10,11 +11,11 @@ class VectorDBType(str, Enum):
     PINECONE = "vector_db_pinecone"
 
 
-class VectorDBConfig(TypedModel, type=VectorDBType.BASE.value):
+class VectorDBConfig(TypedModel, type=VectorDBType.BASE.value):  # type: ignore
     embeddings_model: str = DEFAULT_EMBEDDINGS_MODEL
 
 
-class PineconeConfig(VectorDBConfig, type=VectorDBType.PINECONE.value):
+class PineconeConfig(VectorDBConfig, type=VectorDBType.PINECONE.value):  # type: ignore
     index: str
     api_key: Optional[str]
     api_environment: Optional[str]
diff --git a/vocode/streaming/models/websocket.py b/vocode/streaming/models/websocket.py
index 41a302dc64..0629ea19a4 100644
--- a/vocode/streaming/models/websocket.py
+++ b/vocode/streaming/models/websocket.py
@@ -2,13 +2,13 @@
 from enum import Enum
 from typing import Optional
 
-from vocode.streaming.models.audio_encoding import AudioEncoding
 from vocode.streaming.models.client_backend import InputAudioConfig, OutputAudioConfig
-from .model import TypedModel
-from .transcriber import TranscriberConfig
+
 from .agent import AgentConfig
-from .synthesizer import SynthesizerConfig
 from .events import Sender
+from .model import TypedModel
+from .synthesizer import SynthesizerConfig
+from .transcriber import TranscriberConfig
 from .transcript import TranscriptEvent
 
 
@@ -22,11 +22,11 @@ class WebSocketMessageType(str, Enum):
     AUDIO_CONFIG_START = "websocket_audio_config_start"
 
 
-class WebSocketMessage(TypedModel, type=WebSocketMessageType.BASE):
+class WebSocketMessage(TypedModel, type=WebSocketMessageType.BASE):  # type: ignore
     pass
 
 
-class AudioMessage(WebSocketMessage, type=WebSocketMessageType.AUDIO):
+class AudioMessage(WebSocketMessage, type=WebSocketMessageType.AUDIO):  # type: ignore
     data: str
 
     @classmethod
@@ -37,7 +37,7 @@ def get_bytes(self) -> bytes:
         return base64.b64decode(self.data)
 
 
-class TranscriptMessage(WebSocketMessage, type=WebSocketMessageType.TRANSCRIPT):
+class TranscriptMessage(WebSocketMessage, type=WebSocketMessageType.TRANSCRIPT):  # type: ignore
     text: str
     sender: Sender
     timestamp: float
@@ -47,7 +47,7 @@ def from_event(cls, event: TranscriptEvent):
         return cls(text=event.text, sender=event.sender, timestamp=event.timestamp)
 
 
-class StartMessage(WebSocketMessage, type=WebSocketMessageType.START):
+class StartMessage(WebSocketMessage, type=WebSocketMessageType.START):  # type: ignore
     transcriber_config: TranscriberConfig
     agent_config: AgentConfig
     synthesizer_config: SynthesizerConfig
@@ -55,7 +55,7 @@ class StartMessage(WebSocketMessage, type=WebSocketMessageType.START):
 
 
 class AudioConfigStartMessage(
-    WebSocketMessage, type=WebSocketMessageType.AUDIO_CONFIG_START
+    WebSocketMessage, type=WebSocketMessageType.AUDIO_CONFIG_START  # type: ignore
 ):
     input_audio_config: InputAudioConfig
     output_audio_config: OutputAudioConfig
@@ -63,9 +63,9 @@ class AudioConfigStartMessage(
     subscribe_transcript: Optional[bool] = None
 
 
-class ReadyMessage(WebSocketMessage, type=WebSocketMessageType.READY):
+class ReadyMessage(WebSocketMessage, type=WebSocketMessageType.READY):  # type: ignore
     pass
 
 
-class StopMessage(WebSocketMessage, type=WebSocketMessageType.STOP):
+class StopMessage(WebSocketMessage, type=WebSocketMessageType.STOP):  # type: ignore
     pass
diff --git a/vocode/streaming/models/websocket_agent.py b/vocode/streaming/models/websocket_agent.py
index c94224260e..f9d06e59e7 100644
--- a/vocode/streaming/models/websocket_agent.py
+++ b/vocode/streaming/models/websocket_agent.py
@@ -1,7 +1,7 @@
 from enum import Enum
 from typing import Optional
-from vocode.streaming.models.agent import AgentConfig, AgentType
 
+from vocode.streaming.models.agent import AgentConfig, AgentType
 from vocode.streaming.models.model import BaseModel, TypedModel
 
 
@@ -11,12 +11,12 @@ class WebSocketAgentMessageType(str, Enum):
     STOP = "websocket_agent_stop"
 
 
-class WebSocketAgentMessage(TypedModel, type=WebSocketAgentMessageType.BASE):
+class WebSocketAgentMessage(TypedModel, type=WebSocketAgentMessageType.BASE):  # type: ignore
     conversation_id: Optional[str] = None
 
 
 class WebSocketAgentTextMessage(
-    WebSocketAgentMessage, type=WebSocketAgentMessageType.TEXT
+    WebSocketAgentMessage, type=WebSocketAgentMessageType.TEXT  # type: ignore
 ):
     class Payload(BaseModel):
         text: str
@@ -29,13 +29,13 @@ def from_text(cls, text: str, conversation_id: Optional[str] = None):
 
 
 class WebSocketAgentStopMessage(
-    WebSocketAgentMessage, type=WebSocketAgentMessageType.STOP
+    WebSocketAgentMessage, type=WebSocketAgentMessageType.STOP  # type: ignore
 ):
     pass
 
 
 class WebSocketUserImplementedAgentConfig(
-    AgentConfig, type=AgentType.WEBSOCKET_USER_IMPLEMENTED.value
+    AgentConfig, type=AgentType.WEBSOCKET_USER_IMPLEMENTED.value  # type: ignore
 ):
     class RouteConfig(BaseModel):
         url: str
diff --git a/vocode/streaming/output_device/abstract_output_device.py b/vocode/streaming/output_device/abstract_output_device.py
new file mode 100644
index 0000000000..2137d13216
--- /dev/null
+++ b/vocode/streaming/output_device/abstract_output_device.py
@@ -0,0 +1,26 @@
+import asyncio
+from abc import abstractmethod
+
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.output_device.audio_chunk import AudioChunk
+from vocode.streaming.utils.worker import AsyncWorker, InterruptibleEvent
+
+
+class AbstractOutputDevice(AsyncWorker[InterruptibleEvent[AudioChunk]]):
+    """Output devices are workers that are responsible for playing back audio.
+
+    As part of processing:
+    - it must call AudioChunk.on_play() when the chunk is played back and set AudioChunk.state = ChunkState.PLAYED
+    - it must call AudioChunk.on_interrupt() when the chunk is interrupted and set AudioChunk.state = ChunkState.INTERRUPTED
+    - if the interruptible event marker is set, then it must also mark the chunk as interrupted
+    """
+
+    def __init__(self, sampling_rate: int, audio_encoding: AudioEncoding):
+        super().__init__()
+        self.sampling_rate = sampling_rate
+        self.audio_encoding = audio_encoding
+
+    @abstractmethod
+    def interrupt(self):
+        """Must interrupt the currently playing audio"""
+        pass
diff --git a/vocode/streaming/output_device/audio_chunk.py b/vocode/streaming/output_device/audio_chunk.py
new file mode 100644
index 0000000000..df669d19ba
--- /dev/null
+++ b/vocode/streaming/output_device/audio_chunk.py
@@ -0,0 +1,28 @@
+import uuid
+from dataclasses import dataclass, field
+from enum import Enum
+from uuid import UUID
+
+
+class ChunkState(int, Enum):
+    UNPLAYED = 0
+    PLAYED = 1
+    INTERRUPTED = 2
+
+
+@dataclass
+class AudioChunk:
+    data: bytes
+    state: ChunkState = ChunkState.UNPLAYED
+    chunk_id: UUID = field(default_factory=uuid.uuid4)
+
+    @staticmethod
+    def on_play():
+        pass
+
+    @staticmethod
+    def on_interrupt():
+        pass
+
+    def __hash__(self) -> int:
+        return hash(self.chunk_id)
diff --git a/vocode/streaming/output_device/base_output_device.py b/vocode/streaming/output_device/base_output_device.py
deleted file mode 100644
index 123ad04f9f..0000000000
--- a/vocode/streaming/output_device/base_output_device.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from vocode.streaming.models.audio_encoding import AudioEncoding
-
-
-class BaseOutputDevice:
-    def __init__(self, sampling_rate: int, audio_encoding: AudioEncoding):
-        self.sampling_rate = sampling_rate
-        self.audio_encoding = audio_encoding
-
-    def start(self):
-        pass
-
-    def consume_nonblocking(self, chunk: bytes):
-        raise NotImplemented
-    
-    def maybe_send_mark_nonblocking(self, message):
-        pass
-
-    def terminate(self):
-        pass
diff --git a/vocode/streaming/output_device/blocking_speaker_output.py b/vocode/streaming/output_device/blocking_speaker_output.py
index 7c402fbf32..c872b42801 100644
--- a/vocode/streaming/output_device/blocking_speaker_output.py
+++ b/vocode/streaming/output_device/blocking_speaker_output.py
@@ -1,30 +1,25 @@
 import asyncio
 import queue
 from typing import Optional
-import sounddevice as sd
+
 import numpy as np
-from vocode.streaming.models.audio_encoding import AudioEncoding
+import sounddevice as sd
 
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.output_device.rate_limit_interruptions_output_device import (
+    RateLimitInterruptionsOutputDevice,
+)
 from vocode.streaming.utils.worker import ThreadAsyncWorker
 
+DEFAULT_SAMPLING_RATE = 44100
 
-class BlockingSpeakerOutput(BaseOutputDevice, ThreadAsyncWorker):
-    DEFAULT_SAMPLING_RATE = 44100
 
-    def __init__(
-        self,
-        device_info: dict,
-        sampling_rate: Optional[int] = None,
-        audio_encoding: AudioEncoding = AudioEncoding.LINEAR16,
-    ):
+class _PlaybackWorker(ThreadAsyncWorker[bytes]):
+
+    def __init__(self, *, device_info: dict, sampling_rate: int):
+        self.sampling_rate = sampling_rate
         self.device_info = device_info
-        sampling_rate = sampling_rate or int(
-            self.device_info.get("default_samplerate", self.DEFAULT_SAMPLING_RATE)
-        )
-        self.input_queue = asyncio.Queue()
-        BaseOutputDevice.__init__(self, sampling_rate, audio_encoding)
-        ThreadAsyncWorker.__init__(self, self.input_queue)
+        super().__init__()
         self.stream = sd.OutputStream(
             channels=1,
             samplerate=self.sampling_rate,
@@ -32,12 +27,9 @@ def __init__(
             device=int(self.device_info["index"]),
         )
         self._ended = False
-        self.input_queue.put_nowait(self.sampling_rate * b"\x00")
+        self.consume_nonblocking(self.sampling_rate * b"\x00")
         self.stream.start()
 
-    def start(self):
-        ThreadAsyncWorker.start(self)
-
     def _run_loop(self):
         while not self._ended:
             try:
@@ -46,10 +38,40 @@ def _run_loop(self):
             except queue.Empty:
                 continue
 
-    def consume_nonblocking(self, chunk):
-        ThreadAsyncWorker.consume_nonblocking(self, chunk)
-
-    def terminate(self):
+    async def terminate(self):
         self._ended = True
-        ThreadAsyncWorker.terminate(self)
+        await super().terminate()
         self.stream.close()
+
+
+class BlockingSpeakerOutput(RateLimitInterruptionsOutputDevice):
+
+    def __init__(
+        self,
+        device_info: dict,
+        sampling_rate: Optional[int] = None,
+        audio_encoding: AudioEncoding = AudioEncoding.LINEAR16,
+    ):
+        sampling_rate = sampling_rate or int(
+            device_info.get("default_samplerate", DEFAULT_SAMPLING_RATE)
+        )
+        super().__init__(sampling_rate=sampling_rate, audio_encoding=audio_encoding)
+        self.playback_worker = _PlaybackWorker(device_info=device_info, sampling_rate=sampling_rate)
+
+    async def play(self, chunk):
+        self.playback_worker.consume_nonblocking(chunk)
+
+    def start(self) -> asyncio.Task:
+        self.playback_worker.start()
+        return super().start()
+
+    async def terminate(self):
+        await self.playback_worker.terminate()
+        await super().terminate()
+
+    @classmethod
+    def from_default_device(
+        cls,
+        **kwargs,
+    ):
+        return cls(sd.query_devices(kind="output"), **kwargs)
diff --git a/vocode/streaming/output_device/file_output_device.py b/vocode/streaming/output_device/file_output_device.py
index 3538bee7c9..d2df2aa621 100644
--- a/vocode/streaming/output_device/file_output_device.py
+++ b/vocode/streaming/output_device/file_output_device.py
@@ -1,32 +1,15 @@
-import wave
-from asyncio import Queue
 import asyncio
-import numpy as np
-
-from .base_output_device import BaseOutputDevice
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.utils.worker import ThreadAsyncWorker
-
-
-class FileWriterWorker(ThreadAsyncWorker):
-    def __init__(self, input_queue: Queue, wave) -> None:
-        super().__init__(input_queue)
-        self.wav = wave
+import wave
 
-    def _run_loop(self):
-        while True:
-            try:
-                block = self.input_janus_queue.sync_q.get()
-                self.wav.writeframes(block)
-            except asyncio.CancelledError:
-                return
+import numpy as np
 
-    def terminate(self):
-        super().terminate()
-        self.wav.close()
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.output_device.rate_limit_interruptions_output_device import (
+    RateLimitInterruptionsOutputDevice,
+)
 
 
-class FileOutputDevice(BaseOutputDevice):
+class FileOutputDevice(RateLimitInterruptionsOutputDevice):
     DEFAULT_SAMPLING_RATE = 44100
 
     def __init__(
@@ -37,7 +20,6 @@ def __init__(
     ):
         super().__init__(sampling_rate, audio_encoding)
         self.blocksize = self.sampling_rate
-        self.queue: Queue[np.ndarray] = Queue()
 
         wav = wave.open(file_path, "wb")
         wav.setnchannels(1)  # Mono channel
@@ -45,16 +27,9 @@ def __init__(
         wav.setframerate(self.sampling_rate)
         self.wav = wav
 
-        self.thread_worker = FileWriterWorker(self.queue, wav)
-        self.thread_worker.start()
+    async def play(self, chunk: bytes):
+        await asyncio.to_thread(lambda: self.wav.writeframes(chunk))
 
-    def consume_nonblocking(self, chunk):
-        chunk_arr = np.frombuffer(chunk, dtype=np.int16)
-        for i in range(0, chunk_arr.shape[0], self.blocksize):
-            block = np.zeros(self.blocksize, dtype=np.int16)
-            size = min(self.blocksize, chunk_arr.shape[0] - i)
-            block[:size] = chunk_arr[i : i + size]
-            self.queue.put_nowait(block)
-
-    def terminate(self):
-        self.thread_worker.terminate()
+    async def terminate(self):
+        self.wav.close()
+        await super().terminate()
diff --git a/vocode/streaming/output_device/livekit_output_device.py b/vocode/streaming/output_device/livekit_output_device.py
new file mode 100644
index 0000000000..bfb5dd5d5f
--- /dev/null
+++ b/vocode/streaming/output_device/livekit_output_device.py
@@ -0,0 +1,69 @@
+import asyncio
+
+from livekit import rtc
+
+from vocode.streaming.livekit.constants import AUDIO_ENCODING, DEFAULT_SAMPLING_RATE
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.output_device.abstract_output_device import AbstractOutputDevice
+from vocode.streaming.output_device.audio_chunk import ChunkState
+
+NUM_CHANNELS = 1
+
+
+class LiveKitOutputDevice(AbstractOutputDevice):
+    source: rtc.AudioSource
+    track: rtc.LocalAudioTrack
+    room: rtc.Room
+
+    def __init__(
+        self,
+        sampling_rate: int = DEFAULT_SAMPLING_RATE,
+        audio_encoding: AudioEncoding = AUDIO_ENCODING,
+    ):
+        super().__init__(sampling_rate, audio_encoding)
+
+    async def _run_loop(self):
+        while True:
+            try:
+                item = await self._input_queue.get()
+            except asyncio.CancelledError:
+                return
+
+            self.interruptible_event = item
+            audio_chunk = item.payload
+
+            if item.is_interrupted():
+                audio_chunk.on_interrupt()
+                audio_chunk.state = ChunkState.INTERRUPTED
+                continue
+
+            await self.play(audio_chunk.data)
+            audio_chunk.on_play()
+            audio_chunk.state = ChunkState.PLAYED
+            self.interruptible_event.is_interruptible = False
+
+    async def initialize_source(self, room: rtc.Room):
+        """Creates the AudioSource that will be used to capture audio frames.
+
+        Can only be called once the room has set up its track callbcks
+        """
+        self.room = room
+        source = rtc.AudioSource(self.sampling_rate, NUM_CHANNELS)
+        track = rtc.LocalAudioTrack.create_audio_track("agent-synthesis", source)
+        options = rtc.TrackPublishOptions()
+        options.source = rtc.TrackSource.SOURCE_MICROPHONE
+        await self.room.local_participant.publish_track(track, options)
+        self.track = track
+        self.source = source
+
+    async def uninitialize_source(self):
+        await self.room.local_participant.unpublish_track(self.track.sid)
+
+    async def play(self, item: bytes):
+        audio_frame = rtc.AudioFrame(
+            item, self.sampling_rate, num_channels=1, samples_per_channel=len(item) // 2
+        )
+        return await self.source.capture_frame(audio_frame)
+
+    def interrupt(self):
+        pass
diff --git a/vocode/streaming/output_device/rate_limit_interruptions_output_device.py b/vocode/streaming/output_device/rate_limit_interruptions_output_device.py
new file mode 100644
index 0000000000..b621b213f7
--- /dev/null
+++ b/vocode/streaming/output_device/rate_limit_interruptions_output_device.py
@@ -0,0 +1,70 @@
+import asyncio
+import time
+from abc import abstractmethod
+
+from vocode.streaming.constants import PER_CHUNK_ALLOWANCE_SECONDS
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.output_device.abstract_output_device import AbstractOutputDevice
+from vocode.streaming.output_device.audio_chunk import ChunkState
+from vocode.streaming.utils import get_chunk_size_per_second
+
+
+class RateLimitInterruptionsOutputDevice(AbstractOutputDevice):
+    """Output device that works by rate limiting the chunks sent to the output. For interrupts to work properly,
+    the next chunk of audio can only be sent after the last chunk is played, so we send
+    a chunk of x seconds only after x seconds have passed since the last chunk was sent."""
+
+    def __init__(
+        self,
+        sampling_rate: int,
+        audio_encoding: AudioEncoding,
+        per_chunk_allowance_seconds: float = PER_CHUNK_ALLOWANCE_SECONDS,
+    ):
+        super().__init__(sampling_rate, audio_encoding)
+        self.per_chunk_allowance_seconds = per_chunk_allowance_seconds
+
+    async def _run_loop(self):
+        while True:
+            start_time = time.time()
+            try:
+                item = await self._input_queue.get()
+            except asyncio.CancelledError:
+                return
+
+            self.interruptible_event = item
+            audio_chunk = item.payload
+
+            if item.is_interrupted():
+                audio_chunk.on_interrupt()
+                audio_chunk.state = ChunkState.INTERRUPTED
+                continue
+
+            speech_length_seconds = (len(audio_chunk.data)) / get_chunk_size_per_second(
+                self.audio_encoding,
+                self.sampling_rate,
+            )
+            await self.play(audio_chunk.data)
+            audio_chunk.on_play()
+            audio_chunk.state = ChunkState.PLAYED
+            end_time = time.time()
+            await asyncio.sleep(
+                max(
+                    speech_length_seconds
+                    - (end_time - start_time)
+                    - self.per_chunk_allowance_seconds,
+                    0,
+                ),
+            )
+            self.interruptible_event.is_interruptible = False
+
+    @abstractmethod
+    async def play(self, chunk: bytes):
+        """Sends an audio chunk to immediate playback"""
+        pass
+
+    def interrupt(self):
+        """
+        For conversations that use rate-limiting playback as above,
+        no custom logic is needed on interrupt, because to end synthesis, all we need to do is stop sending chunks.
+        """
+        pass
diff --git a/vocode/streaming/output_device/speaker_output.py b/vocode/streaming/output_device/speaker_output.py
index 69c0729f07..17acc9e266 100644
--- a/vocode/streaming/output_device/speaker_output.py
+++ b/vocode/streaming/output_device/speaker_output.py
@@ -1,13 +1,17 @@
 import queue
 from typing import Optional
-import sounddevice as sd
+
 import numpy as np
+import sounddevice as sd
+
+from vocode.streaming.models.audio import AudioEncoding
+
+from .abstract_output_device import AbstractOutputDevice
 
-from .base_output_device import BaseOutputDevice
-from vocode.streaming.models.audio_encoding import AudioEncoding
+raise DeprecationWarning("Use BlockingSpeakerOutput instead")
 
 
-class SpeakerOutput(BaseOutputDevice):
+class SpeakerOutput(AbstractOutputDevice):
     DEFAULT_SAMPLING_RATE = 44100
 
     def __init__(
@@ -49,7 +53,7 @@ def consume_nonblocking(self, chunk):
             block[:size] = chunk_arr[i : i + size]
             self.queue.put_nowait(block)
 
-    def terminate(self):
+    async def terminate(self):
         self.stream.close()
 
     @classmethod
diff --git a/vocode/streaming/output_device/twilio_output_device.py b/vocode/streaming/output_device/twilio_output_device.py
index f92c20d02d..a7d1917caf 100644
--- a/vocode/streaming/output_device/twilio_output_device.py
+++ b/vocode/streaming/output_device/twilio_output_device.py
@@ -1,54 +1,138 @@
 from __future__ import annotations
 
 import asyncio
-import json
+import audioop
 import base64
-from typing import Optional
+import json
+from typing import List, Optional, Union
 
 from fastapi import WebSocket
+from fastapi.websockets import WebSocketState
+from loguru import logger
+from pydantic import BaseModel
 
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
-from vocode.streaming.telephony.constants import (
-    DEFAULT_AUDIO_ENCODING,
-    DEFAULT_SAMPLING_RATE,
-)
+from vocode.streaming.output_device.abstract_output_device import AbstractOutputDevice
+from vocode.streaming.output_device.audio_chunk import AudioChunk, ChunkState
+from vocode.streaming.telephony.constants import DEFAULT_AUDIO_ENCODING, DEFAULT_SAMPLING_RATE
+from vocode.streaming.utils.create_task import asyncio_create_task
+from vocode.streaming.utils.dtmf_utils import DTMFToneGenerator, KeypadEntry
+from vocode.streaming.utils.worker import InterruptibleEvent
 
 
-class TwilioOutputDevice(BaseOutputDevice):
-    def __init__(
-        self, ws: Optional[WebSocket] = None, stream_sid: Optional[str] = None
-    ):
-        super().__init__(
-            sampling_rate=DEFAULT_SAMPLING_RATE, audio_encoding=DEFAULT_AUDIO_ENCODING
-        )
+class ChunkFinishedMarkMessage(BaseModel):
+    chunk_id: str
+
+
+MarkMessage = Union[ChunkFinishedMarkMessage]  # space for more mark messages
+
+
+class TwilioOutputDevice(AbstractOutputDevice):
+    def __init__(self, ws: Optional[WebSocket] = None, stream_sid: Optional[str] = None):
+        super().__init__(sampling_rate=DEFAULT_SAMPLING_RATE, audio_encoding=DEFAULT_AUDIO_ENCODING)
         self.ws = ws
         self.stream_sid = stream_sid
         self.active = True
-        self.queue: asyncio.Queue[str] = asyncio.Queue()
-        self.process_task = asyncio.create_task(self.process())
 
-    async def process(self):
-        while self.active:
-            message = await self.queue.get()
-            await self.ws.send_text(message)
+        self._twilio_events_queue: asyncio.Queue[str] = asyncio.Queue()
+        self._mark_message_queue: asyncio.Queue[MarkMessage] = asyncio.Queue()
+        self._unprocessed_audio_chunks_queue: asyncio.Queue[InterruptibleEvent[AudioChunk]] = (
+            asyncio.Queue()
+        )
+
+    def consume_nonblocking(self, item: InterruptibleEvent[AudioChunk]):
+        if not item.is_interrupted():
+            self._send_audio_chunk_and_mark(
+                chunk=item.payload.data, chunk_id=str(item.payload.chunk_id)
+            )
+            self._unprocessed_audio_chunks_queue.put_nowait(item)
+        else:
+            audio_chunk = item.payload
+            audio_chunk.on_interrupt()
+            audio_chunk.state = ChunkState.INTERRUPTED
+
+    def interrupt(self):
+        self._send_clear_message()
+
+    def enqueue_mark_message(self, mark_message: MarkMessage):
+        self._mark_message_queue.put_nowait(mark_message)
+
+    def send_dtmf_tones(self, keypad_entries: List[KeypadEntry]):
+        tone_generator = DTMFToneGenerator()
+        for keypad_entry in keypad_entries:
+            logger.info(f"Sending DTMF tone {keypad_entry.value}")
+            dtmf_tone = tone_generator.generate(
+                keypad_entry, sampling_rate=self.sampling_rate, audio_encoding=self.audio_encoding
+            )
+            dtmf_message = {
+                "event": "media",
+                "streamSid": self.stream_sid,
+                "media": {"payload": base64.b64encode(dtmf_tone).decode("utf-8")},
+            }
+            self._twilio_events_queue.put_nowait(json.dumps(dtmf_message))
 
-    def consume_nonblocking(self, chunk: bytes):
-        twilio_message = {
+    async def _send_twilio_messages(self):
+        while True:
+            try:
+                twilio_event = await self._twilio_events_queue.get()
+            except asyncio.CancelledError:
+                return
+            if self.ws.application_state == WebSocketState.DISCONNECTED:
+                break
+            await self.ws.send_text(twilio_event)
+
+    async def _process_mark_messages(self):
+        while True:
+            try:
+                # mark messages are tagged with the chunk ID that is attached to the audio chunk
+                # but they are guaranteed to come in the same order as the audio chunks, and we
+                # don't need to build resiliency there
+                mark_message = await self._mark_message_queue.get()
+                item = await self._unprocessed_audio_chunks_queue.get()
+            except asyncio.CancelledError:
+                return
+
+            self.interruptible_event = item
+            audio_chunk = item.payload
+
+            if mark_message.chunk_id != str(audio_chunk.chunk_id):
+                logger.error(
+                    f"Received a mark message out of order with chunk ID {mark_message.chunk_id}"
+                )
+
+            if item.is_interrupted():
+                audio_chunk.on_interrupt()
+                audio_chunk.state = ChunkState.INTERRUPTED
+                continue
+
+            audio_chunk.on_play()
+            audio_chunk.state = ChunkState.PLAYED
+
+            self.interruptible_event.is_interruptible = False
+
+    async def _run_loop(self):
+        send_twilio_messages_task = asyncio_create_task(self._send_twilio_messages())
+        process_mark_messages_task = asyncio_create_task(self._process_mark_messages())
+        await asyncio.gather(send_twilio_messages_task, process_mark_messages_task)
+
+    def _send_audio_chunk_and_mark(self, chunk: bytes, chunk_id: str):
+        media_message = {
             "event": "media",
             "streamSid": self.stream_sid,
             "media": {"payload": base64.b64encode(chunk).decode("utf-8")},
         }
-        self.queue.put_nowait(json.dumps(twilio_message))
-
-    def maybe_send_mark_nonblocking(self, message_sent):
+        self._twilio_events_queue.put_nowait(json.dumps(media_message))
         mark_message = {
             "event": "mark",
             "streamSid": self.stream_sid,
             "mark": {
-                "name": "Sent {}".format(message_sent),
+                "name": chunk_id,
             },
         }
-        self.queue.put_nowait(json.dumps(mark_message))
+        self._twilio_events_queue.put_nowait(json.dumps(mark_message))
 
-    def terminate(self):
-        self.process_task.cancel()
+    def _send_clear_message(self):
+        clear_message = {
+            "event": "clear",
+            "streamSid": self.stream_sid,
+        }
+        self._twilio_events_queue.put_nowait(json.dumps(clear_message))
diff --git a/vocode/streaming/output_device/vonage_output_device.py b/vocode/streaming/output_device/vonage_output_device.py
index 186c9d0aa2..53234e67c9 100644
--- a/vocode/streaming/output_device/vonage_output_device.py
+++ b/vocode/streaming/output_device/vonage_output_device.py
@@ -1,51 +1,40 @@
-import asyncio
 from typing import Optional
-import wave
 
 from fastapi import WebSocket
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
-from vocode.streaming.output_device.speaker_output import SpeakerOutput
+from fastapi.websockets import WebSocketState
+
+from vocode.streaming.output_device.blocking_speaker_output import BlockingSpeakerOutput
+from vocode.streaming.output_device.rate_limit_interruptions_output_device import (
+    RateLimitInterruptionsOutputDevice,
+)
 from vocode.streaming.telephony.constants import (
+    PCM_SILENCE_BYTE,
     VONAGE_AUDIO_ENCODING,
     VONAGE_CHUNK_SIZE,
     VONAGE_SAMPLING_RATE,
 )
 
 
-class VonageOutputDevice(BaseOutputDevice):
+class VonageOutputDevice(RateLimitInterruptionsOutputDevice):
     def __init__(
         self,
         ws: Optional[WebSocket] = None,
         output_to_speaker: bool = False,
     ):
-        super().__init__(
-            sampling_rate=VONAGE_SAMPLING_RATE, audio_encoding=VONAGE_AUDIO_ENCODING
-        )
+        super().__init__(sampling_rate=VONAGE_SAMPLING_RATE, audio_encoding=VONAGE_AUDIO_ENCODING)
         self.ws = ws
-        self.active = True
-        self.queue: asyncio.Queue[bytes] = asyncio.Queue()
-        self.process_task = asyncio.create_task(self.process())
         self.output_to_speaker = output_to_speaker
         if output_to_speaker:
-            self.output_speaker = SpeakerOutput.from_default_device(
+            self.output_speaker = BlockingSpeakerOutput.from_default_device(
                 sampling_rate=VONAGE_SAMPLING_RATE, blocksize=VONAGE_CHUNK_SIZE // 2
             )
 
-    async def process(self):
-        while self.active:
-            chunk = await self.queue.get()
-            if self.output_to_speaker:
-                self.output_speaker.consume_nonblocking(chunk)
-            for i in range(0, len(chunk), VONAGE_CHUNK_SIZE):
-                subchunk = chunk[i : i + VONAGE_CHUNK_SIZE]
+    async def play(self, chunk: bytes):
+        if self.output_to_speaker:
+            self.output_speaker.consume_nonblocking(chunk)
+        for i in range(0, len(chunk), VONAGE_CHUNK_SIZE):
+            subchunk = chunk[i : i + VONAGE_CHUNK_SIZE]
+            if len(subchunk) % 2 == 1:
+                subchunk += PCM_SILENCE_BYTE  # pad with silence, Vonage goes crazy otherwise
+            if self.ws and self.ws.application_state != WebSocketState.DISCONNECTED:
                 await self.ws.send_bytes(subchunk)
-
-    def consume_nonblocking(self, chunk: bytes):
-        self.queue.put_nowait(chunk)
-
-    def maybe_send_mark_nonblocking(self, message_sent):
-        pass
-
-    def terminate(self):
-        self.process_task.cancel()
diff --git a/vocode/streaming/output_device/websocket_output_device.py b/vocode/streaming/output_device/websocket_output_device.py
index 3518564df8..9b5ce1de4b 100644
--- a/vocode/streaming/output_device/websocket_output_device.py
+++ b/vocode/streaming/output_device/websocket_output_device.py
@@ -1,19 +1,19 @@
 from __future__ import annotations
 
 import asyncio
+
 from fastapi import WebSocket
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
-from vocode.streaming.models.websocket import AudioMessage
-from vocode.streaming.models.websocket import TranscriptMessage
-from vocode.streaming.models.transcript import TranscriptEvent
 
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.transcript import TranscriptEvent
+from vocode.streaming.models.websocket import AudioMessage, TranscriptMessage
+from vocode.streaming.output_device.rate_limit_interruptions_output_device import (
+    RateLimitInterruptionsOutputDevice,
+)
 
 
-class WebsocketOutputDevice(BaseOutputDevice):
-    def __init__(
-        self, ws: WebSocket, sampling_rate: int, audio_encoding: AudioEncoding
-    ):
+class WebsocketOutputDevice(RateLimitInterruptionsOutputDevice):
+    def __init__(self, ws: WebSocket, sampling_rate: int, audio_encoding: AudioEncoding):
         super().__init__(sampling_rate, audio_encoding)
         self.ws = ws
         self.active = False
@@ -21,25 +21,15 @@ def __init__(
 
     def start(self):
         self.active = True
-        self.process_task = asyncio.create_task(self.process())
+        return super().start()
 
     def mark_closed(self):
         self.active = False
 
-    async def process(self):
-        while self.active:
-            message = await self.queue.get()
-            await self.ws.send_text(message)
+    async def play(self, chunk: bytes):
+        await self.ws.send_text(AudioMessage.from_bytes(chunk).json())
 
-    def consume_nonblocking(self, chunk: bytes):
-        if self.active:
-            audio_message = AudioMessage.from_bytes(chunk)
-            self.queue.put_nowait(audio_message.json())
-
-    def consume_transcript(self, event: TranscriptEvent):
+    async def send_transcript(self, event: TranscriptEvent):
         if self.active:
             transcript_message = TranscriptMessage.from_event(event)
-            self.queue.put_nowait(transcript_message.json())
-
-    def terminate(self):
-        self.process_task.cancel()
+            await self.ws.send_text(transcript_message.json())
diff --git a/vocode/streaming/streaming_conversation.py b/vocode/streaming/streaming_conversation.py
index 0bf22cd861..e6c7d746dc 100644
--- a/vocode/streaming/streaming_conversation.py
+++ b/vocode/streaming/streaming_conversation.py
@@ -3,84 +3,125 @@
 import asyncio
 import queue
 import random
+import re
 import threading
-from typing import Any, Awaitable, Callable, Generic, Optional, Tuple, TypeVar, cast
-import logging
 import time
 import typing
-
-from vocode.streaming.action.worker import ActionsWorker
-
-from vocode.streaming.agent.bot_sentiment_analyser import (
-    BotSentimentAnalyser,
+from typing import (
+    Any,
+    Awaitable,
+    Callable,
+    Generic,
+    Iterator,
+    List,
+    Optional,
+    Tuple,
+    TypeVar,
+    Union,
 )
-from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
-from vocode.streaming.models.actions import ActionInput
-from vocode.streaming.models.events import Sender
-from vocode.streaming.models.transcript import (
-    Message,
-    Transcript,
-    TranscriptCompleteEvent,
-)
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.transcriber import EndpointingConfig, TranscriberConfig
-from vocode.streaming.output_device.base_output_device import BaseOutputDevice
-from vocode.streaming.utils.conversation_logger_adapter import wrap_logger
-from vocode.streaming.utils.events_manager import EventsManager
-from vocode.streaming.utils.goodbye_model import GoodbyeModel
 
-from vocode.streaming.models.agent import ChatGPTAgentConfig, FillerAudioConfig
-from vocode.streaming.models.synthesizer import (
-    SentimentConfig,
-)
-from vocode.streaming.constants import (
-    TEXT_TO_SPEECH_CHUNK_SIZE_SECONDS,
-    PER_CHUNK_ALLOWANCE_SECONDS,
-    ALLOWED_IDLE_TIME,
-)
+import sentry_sdk
+from loguru import logger
+from sentry_sdk.tracing import Span
+
+from vocode import conversation_id as ctx_conversation_id
+from vocode.streaming.action.worker import ActionsWorker
 from vocode.streaming.agent.base_agent import (
     AgentInput,
     AgentResponse,
     AgentResponseFillerAudio,
     AgentResponseMessage,
     AgentResponseStop,
-    AgentResponseType,
     BaseAgent,
     TranscriptionAgentInput,
 )
+from vocode.streaming.agent.chat_gpt_agent import ChatGPTAgent
+from vocode.streaming.constants import (
+    ALLOWED_IDLE_TIME,
+    CHECK_HUMAN_PRESENT_MESSAGE_CHOICES,
+    TEXT_TO_SPEECH_CHUNK_SIZE_SECONDS,
+)
+from vocode.streaming.models.actions import EndOfTurn
+from vocode.streaming.models.agent import FillerAudioConfig
+from vocode.streaming.models.events import Sender
+from vocode.streaming.models.message import BaseMessage, BotBackchannel, LLMToken, SilenceMessage
+from vocode.streaming.models.transcriber import TranscriberConfig, Transcription
+from vocode.streaming.models.transcript import Message, Transcript, TranscriptCompleteEvent
+from vocode.streaming.output_device.abstract_output_device import AbstractOutputDevice
+from vocode.streaming.output_device.audio_chunk import AudioChunk, ChunkState
 from vocode.streaming.synthesizer.base_synthesizer import (
     BaseSynthesizer,
-    SynthesisResult,
     FillerAudio,
+    SynthesisResult,
 )
-from vocode.streaming.utils import create_conversation_id, get_chunk_size_per_second
-from vocode.streaming.transcriber.base_transcriber import (
-    Transcription,
-    BaseTranscriber,
+from vocode.streaming.synthesizer.input_streaming_synthesizer import InputStreamingSynthesizer
+from vocode.streaming.transcriber.base_transcriber import BaseTranscriber
+from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
+from vocode.streaming.utils import (
+    create_conversation_id,
+    enumerate_async_iter,
+    get_chunk_size_per_second,
 )
+from vocode.streaming.utils.audio_pipeline import AudioPipeline, OutputDeviceType
+from vocode.streaming.utils.create_task import asyncio_create_task
+from vocode.streaming.utils.events_manager import EventsManager
+from vocode.streaming.utils.speed_manager import SpeedManager
 from vocode.streaming.utils.state_manager import ConversationStateManager
 from vocode.streaming.utils.worker import (
+    AbstractWorker,
     AsyncQueueWorker,
+    InterruptibleAgentResponseEvent,
     InterruptibleAgentResponseWorker,
     InterruptibleEvent,
     InterruptibleEventFactory,
-    InterruptibleAgentResponseEvent,
     InterruptibleWorker,
 )
+from vocode.utils.sentry_utils import (
+    CustomSentrySpans,
+    complete_span_by_op,
+    sentry_create_span,
+    synthesizer_base_name_if_should_report_to_sentry,
+)
 
-OutputDeviceType = TypeVar("OutputDeviceType", bound=BaseOutputDevice)
+BACKCHANNEL_PATTERNS = [
+    r"m+-?hm+",
+    r"m+",
+    r"oh+",
+    r"ah+",
+    r"um+",
+    r"uh+",
+    "yes",
+    "sure",
+    "quite",
+    "right",
+    "really",
+    "good heavens",
+    "i see",
+    "of course",
+    "oh dear",
+    "oh god",
+    "thats nice",
+    "thats not bad",
+    "thats right",
+    r"yeah+",
+    "makes sense",
+]
+LOW_INTERRUPT_SENSITIVITY_BACKCHANNEL_UTTERANCE_LENGTH_THRESHOLD = 3
 
 
-class StreamingConversation(Generic[OutputDeviceType]):
+class StreamingConversation(AudioPipeline[OutputDeviceType]):
     class QueueingInterruptibleEventFactory(InterruptibleEventFactory):
         def __init__(self, conversation: "StreamingConversation"):
             self.conversation = conversation
 
         def create_interruptible_event(
-            self, payload: Any, is_interruptible: bool = True
+            self,
+            payload: Any,
+            is_interruptible: bool = True,
         ) -> InterruptibleEvent[Any]:
-            interruptible_event: InterruptibleEvent = (
-                super().create_interruptible_event(payload, is_interruptible)
+            interruptible_event: InterruptibleEvent = super().create_interruptible_event(
+                payload,
+                is_interruptible,
             )
             self.conversation.interruptible_events.put_nowait(interruptible_event)
             return interruptible_event
@@ -99,62 +140,185 @@ def create_interruptible_agent_response_event(
             self.conversation.interruptible_events.put_nowait(interruptible_event)
             return interruptible_event
 
-    class TranscriptionsWorker(AsyncQueueWorker):
+    class TranscriptionsWorker(AsyncQueueWorker[Transcription]):
         """Processes all transcriptions: sends an interrupt if needed
         and sends final transcriptions to the output queue"""
 
+        consumer: AbstractWorker[InterruptibleEvent[Transcription]]
+
         def __init__(
             self,
-            input_queue: asyncio.Queue[Transcription],
-            output_queue: asyncio.Queue[InterruptibleEvent[AgentInput]],
             conversation: "StreamingConversation",
             interruptible_event_factory: InterruptibleEventFactory,
         ):
-            super().__init__(input_queue, output_queue)
-            self.input_queue = input_queue
-            self.output_queue = output_queue
+            super().__init__()
             self.conversation = conversation
             self.interruptible_event_factory = interruptible_event_factory
+            self.in_interrupt_endpointing_config = False
+            self.deepgram_transcriber: Optional[DeepgramTranscriber] = None
+            if isinstance(self.conversation.transcriber, DeepgramTranscriber):
+                self.deepgram_transcriber = self.conversation.transcriber
+            self.has_associated_ignored_utterance: bool = False
+            self.has_associated_unignored_utterance: bool = False
+            self.human_backchannels_buffer: List[Transcription] = []
+            self.ignore_next_message: bool = False
+
+        def should_ignore_utterance(self, transcription: Transcription):
+            if self.has_associated_unignored_utterance:
+                return False
+            bot_still_speaking = self.is_bot_still_speaking()
+            if self.has_associated_ignored_utterance or bot_still_speaking:
+                logger.info(
+                    f"Associated ignored utterance: {self.has_associated_ignored_utterance}. Bot still speaking: {bot_still_speaking}"
+                )
+                return self.is_transcription_backchannel(transcription)
+            return False
+
+        def is_transcription_backchannel(self, transcription: Transcription):
+            num_words = len(transcription.message.strip().split())
+            if (
+                self.conversation.agent.get_agent_config().interrupt_sensitivity == "high"
+                and num_words >= 1
+            ):
+                logger.info(f"High interrupt sensitivity; {num_words} word(s) not a backchannel")
+                return False
+
+            if num_words <= LOW_INTERRUPT_SENSITIVITY_BACKCHANNEL_UTTERANCE_LENGTH_THRESHOLD:
+                return True
+            cleaned = re.sub("[^\w\s]", "", transcription.message).strip().lower()
+            return any(re.fullmatch(regex, cleaned) for regex in BACKCHANNEL_PATTERNS)
+
+        def _most_recent_transcript_messages(self) -> Iterator[Message]:
+            return (
+                event_log
+                for event_log in reversed(self.conversation.transcript.event_logs)
+                if isinstance(event_log, Message)
+            )
+
+        def get_maybe_last_transcript_event_log(self) -> Optional[Message]:
+            return next(self._most_recent_transcript_messages(), None)
+
+        def is_bot_in_medias_res(self):
+            last_message = self.get_maybe_last_transcript_event_log()
+            return (
+                last_message is not None
+                and not last_message.is_backchannel
+                and last_message.sender == Sender.BOT
+                and not last_message.is_final
+                and last_message.text.strip() != ""
+            )
+
+        def is_bot_still_speaking(self):  # in_medias_res OR bot has more utterances
+            transcript_messages_iter = self._most_recent_transcript_messages()
+            last_message, second_to_last_message = next(transcript_messages_iter, None), next(
+                transcript_messages_iter, None
+            )
+
+            is_first_bot_message = (
+                second_to_last_message is None or second_to_last_message.sender == Sender.HUMAN
+            )
+
+            return (
+                last_message is not None
+                and not last_message.is_backchannel
+                and last_message.sender == Sender.BOT
+                and (not last_message.is_final or not last_message.is_end_of_turn)
+                and not (is_first_bot_message and last_message.text.strip() == "")
+            )
 
         async def process(self, transcription: Transcription):
             self.conversation.mark_last_action_timestamp()
             if transcription.message.strip() == "":
-                self.conversation.logger.info("Ignoring empty transcription")
+                logger.info("Ignoring empty transcription")
+                return
+            # ignore utterances during the initial message but still add them to the transcript
+            initial_message_ongoing = not self.conversation.initial_message_tracker.is_set()
+            if initial_message_ongoing or self.should_ignore_utterance(transcription):
+                logger.info(
+                    f"Ignoring utterance: {transcription.message}. IMO: {initial_message_ongoing}"
+                )
+                self.has_associated_ignored_utterance = (
+                    not transcription.is_final  # if it's final, we're done with this backchannel
+                )
+                if transcription.is_final:
+                    # for all ignored backchannels, store them to be added to the transcript later
+                    self.human_backchannels_buffer.append(transcription)
+                return
+            if self.ignore_next_message and transcription.is_final:
+                # TODO: delete this once transcription reset is implemented for processing conference voicemail
+                # Push human message to transcript but do not respond
+                self.has_associated_ignored_utterance = False
+                agent_response_tracker = None
+                self.ignore_next_message = False
                 return
             if transcription.is_final:
-                self.conversation.logger.debug(
-                    "Got transcription: {}, confidence: {}".format(
-                        transcription.message, transcription.confidence
+                if (
+                    self.deepgram_transcriber is not None
+                    and self.deepgram_transcriber.is_first_transcription
+                ):
+                    logger.debug(
+                        "Switching to non-first transcription endpointing config if configured"
+                    )
+                    self.deepgram_transcriber.is_first_transcription = False
+                logger.debug(
+                    "Got transcription: {}, confidence: {}, wpm: {}".format(
+                        transcription.message,
+                        transcription.confidence,
+                        transcription.wpm(),
                     )
                 )
-            if (
-                not self.conversation.is_human_speaking
-                and self.conversation.is_interrupt(transcription)
-            ):
+            if not self.conversation.is_human_speaking:
                 self.conversation.current_transcription_is_interrupt = (
-                    self.conversation.broadcast_interrupt()
+                    await self.conversation.broadcast_interrupt()
                 )
+                self.has_associated_unignored_utterance = not transcription.is_final
                 if self.conversation.current_transcription_is_interrupt:
-                    self.conversation.logger.debug("sending interrupt")
-                self.conversation.logger.debug("Human started speaking")
+                    logger.debug(
+                        f"Interrupting transcription: {transcription.message}, confidence: {transcription.confidence}"
+                    )
+                    logger.debug("sent interrupt")
+                logger.debug("Human started speaking")
+                self.conversation.is_human_still_there = True
 
-            transcription.is_interrupt = (
-                self.conversation.current_transcription_is_interrupt
-            )
+            transcription.is_interrupt = self.conversation.current_transcription_is_interrupt
             self.conversation.is_human_speaking = not transcription.is_final
             if transcription.is_final:
-                # we use getattr here to avoid the dependency cycle between VonageCall and StreamingConversation
+                self.has_associated_ignored_utterance = False
+                self.has_associated_unignored_utterance = False
+                agent_response_tracker = None
+
+                # clear out backchannels and add to the transcript
+                for human_backchannel in self.human_backchannels_buffer:
+                    self.conversation.transcript.add_human_message(
+                        text=human_backchannel.message,
+                        conversation_id=self.conversation.id,
+                        is_backchannel=True,
+                    )
+                self.human_backchannels_buffer = []
+
+                if transcription.is_interrupt:
+                    transcription.bot_was_in_medias_res = self.is_bot_in_medias_res()
+                    logger.debug(
+                        f"Bot is {'not ' if not transcription.bot_was_in_medias_res else ''}in medias res"
+                    )
+
+                self.conversation.speed_manager.update(transcription)
+
+                self.conversation.warmup_synthesizer()
+
+                # we use getattr here to avoid the dependency cycle between PhoneConversation and StreamingConversation
                 event = self.interruptible_event_factory.create_interruptible_event(
                     TranscriptionAgentInput(
                         transcription=transcription,
                         conversation_id=self.conversation.id,
                         vonage_uuid=getattr(self.conversation, "vonage_uuid", None),
                         twilio_sid=getattr(self.conversation, "twilio_sid", None),
-                    )
+                        agent_response_tracker=agent_response_tracker,
+                    ),
                 )
-                self.output_queue.put_nowait(event)
+                self.consumer.consume_nonblocking(event)
 
-    class FillerAudioWorker(InterruptibleAgentResponseWorker):
+    class FillerAudioWorker(InterruptibleWorker[InterruptibleAgentResponseEvent[FillerAudio]]):
         """
         - Waits for a configured number of seconds and then sends filler audio to the output
         - Exposes wait_for_filler_audio_to_finish() which the AgentResponsesWorker waits on before
@@ -163,26 +327,22 @@ class FillerAudioWorker(InterruptibleAgentResponseWorker):
 
         def __init__(
             self,
-            input_queue: asyncio.Queue[InterruptibleAgentResponseEvent[FillerAudio]],
             conversation: "StreamingConversation",
         ):
-            super().__init__(input_queue=input_queue)
-            self.input_queue = input_queue
+            super().__init__()
             self.conversation = conversation
             self.current_filler_seconds_per_chunk: Optional[int] = None
             self.filler_audio_started_event: Optional[threading.Event] = None
 
         async def wait_for_filler_audio_to_finish(self):
-            if (
-                self.filler_audio_started_event is None
-                or not self.filler_audio_started_event.set()
-            ):
-                self.conversation.logger.debug(
-                    "Not waiting for filler audio to finish since we didn't send any chunks"
+            if self.filler_audio_started_event is None or not self.filler_audio_started_event.set():
+                logger.debug(
+                    "Not waiting for filler audio to finish since we didn't send any chunks",
                 )
                 return
             if self.interruptible_event and isinstance(
-                self.interruptible_event, InterruptibleAgentResponseEvent
+                self.interruptible_event,
+                InterruptibleAgentResponseEvent,
             ):
                 await self.interruptible_event.agent_response_tracker.wait()
 
@@ -195,11 +355,9 @@ async def process(self, item: InterruptibleAgentResponseEvent[FillerAudio]):
                 assert self.conversation.filler_audio_config is not None
                 filler_synthesis_result = filler_audio.create_synthesis_result()
                 self.current_filler_seconds_per_chunk = filler_audio.seconds_per_chunk
-                silence_threshold = (
-                    self.conversation.filler_audio_config.silence_threshold_seconds
-                )
+                silence_threshold = self.conversation.filler_audio_config.silence_threshold_seconds
                 await asyncio.sleep(silence_threshold)
-                self.conversation.logger.debug("Sending filler audio to output")
+                logger.debug("Sending filler audio to output")
                 self.filler_audio_started_event = threading.Event()
                 await self.conversation.send_speech_to_output(
                     filler_audio.message.text,
@@ -212,42 +370,33 @@ async def process(self, item: InterruptibleAgentResponseEvent[FillerAudio]):
             except asyncio.CancelledError:
                 pass
 
-    class AgentResponsesWorker(InterruptibleAgentResponseWorker):
+    class AgentResponsesWorker(InterruptibleWorker[InterruptibleAgentResponseEvent[AgentResponse]]):
         """Runs Synthesizer.create_speech and sends the SynthesisResult to the output queue"""
 
+        consumer: AbstractWorker[
+            InterruptibleAgentResponseEvent[
+                Tuple[Union[BaseMessage, EndOfTurn], Optional[SynthesisResult]]
+            ]
+        ]
+
         def __init__(
             self,
-            input_queue: asyncio.Queue[InterruptibleAgentResponseEvent[AgentResponse]],
-            output_queue: asyncio.Queue[
-                InterruptibleAgentResponseEvent[Tuple[BaseMessage, SynthesisResult]]
-            ],
             conversation: "StreamingConversation",
             interruptible_event_factory: InterruptibleEventFactory,
         ):
-            super().__init__(
-                input_queue=input_queue,
-                output_queue=output_queue,
-            )
-            self.input_queue = input_queue
-            self.output_queue = output_queue
+            super().__init__()
             self.conversation = conversation
             self.interruptible_event_factory = interruptible_event_factory
-            self.chunk_size = (
-                get_chunk_size_per_second(
-                    self.conversation.synthesizer.get_synthesizer_config().audio_encoding,
-                    self.conversation.synthesizer.get_synthesizer_config().sampling_rate,
-                )
-                * TEXT_TO_SPEECH_CHUNK_SIZE_SECONDS
-            )
+            self.chunk_size = self.conversation._get_synthesizer_chunk_size()
+            self.last_agent_response_tracker: Optional[asyncio.Event] = None
+            self.is_first_text_chunk = True
 
         def send_filler_audio(self, agent_response_tracker: Optional[asyncio.Event]):
             assert self.conversation.filler_audio_worker is not None
-            self.conversation.logger.debug("Sending filler audio")
+            logger.debug("Sending filler audio")
             if self.conversation.synthesizer.filler_audios:
-                filler_audio = random.choice(
-                    self.conversation.synthesizer.filler_audios
-                )
-                self.conversation.logger.debug(f"Chose {filler_audio.message.text}")
+                filler_audio = random.choice(self.conversation.synthesizer.filler_audios)
+                logger.debug(f"Chose {filler_audio.message.text}")
                 event = self.interruptible_event_factory.create_interruptible_agent_response_event(
                     filler_audio,
                     is_interruptible=filler_audio.is_interruptible,
@@ -255,15 +404,11 @@ def send_filler_audio(self, agent_response_tracker: Optional[asyncio.Event]):
                 )
                 self.conversation.filler_audio_worker.consume_nonblocking(event)
             else:
-                self.conversation.logger.debug(
-                    "No filler audio available for synthesizer"
-                )
+                logger.debug("No filler audio available for synthesizer")
 
         async def process(self, item: InterruptibleAgentResponseEvent[AgentResponse]):
             if not self.conversation.synthesis_enabled:
-                self.conversation.logger.debug(
-                    "Synthesis disabled, not synthesizing speech"
-                )
+                logger.debug("Synthesis disabled, not synthesizing speech")
                 return
             try:
                 agent_response = item.payload
@@ -271,65 +416,155 @@ async def process(self, item: InterruptibleAgentResponseEvent[AgentResponse]):
                     self.send_filler_audio(item.agent_response_tracker)
                     return
                 if isinstance(agent_response, AgentResponseStop):
-                    self.conversation.logger.debug("Agent requested to stop")
+                    logger.debug("Agent requested to stop")
+                    if self.last_agent_response_tracker is not None:
+                        await self.last_agent_response_tracker.wait()
                     item.agent_response_tracker.set()
-                    await self.conversation.terminate()
+                    self.conversation.mark_terminated(bot_disconnect=True)
                     return
 
-                agent_response_message = typing.cast(
-                    AgentResponseMessage, agent_response
-                )
+                agent_response_message = typing.cast(AgentResponseMessage, agent_response)
 
                 if self.conversation.filler_audio_worker is not None:
-                    if (
-                        self.conversation.filler_audio_worker.interrupt_current_filler_audio()
-                    ):
+                    if self.conversation.filler_audio_worker.interrupt_current_filler_audio():
                         await self.conversation.filler_audio_worker.wait_for_filler_audio_to_finish()
 
-                self.conversation.logger.debug("Synthesizing speech for message")
-                synthesis_result = await self.conversation.synthesizer.create_speech(
-                    agent_response_message.message,
-                    self.chunk_size,
-                    bot_sentiment=self.conversation.bot_sentiment,
-                )
-                self.produce_interruptible_agent_response_event_nonblocking(
-                    (agent_response_message.message, synthesis_result),
-                    is_interruptible=item.is_interruptible,
-                    agent_response_tracker=item.agent_response_tracker,
+                if isinstance(agent_response_message.message, EndOfTurn):
+                    logger.debug("Sending end of turn")
+                    if isinstance(self.conversation.synthesizer, InputStreamingSynthesizer):
+                        await self.conversation.synthesizer.handle_end_of_turn()
+                    self.consumer.consume_nonblocking(
+                        self.interruptible_event_factory.create_interruptible_agent_response_event(
+                            (agent_response_message.message, None),
+                            is_interruptible=item.is_interruptible,
+                            agent_response_tracker=item.agent_response_tracker,
+                        ),
+                    )
+                    self.is_first_text_chunk = True
+                    return
+
+                synthesizer_base_name: Optional[str] = (
+                    synthesizer_base_name_if_should_report_to_sentry(self.conversation.synthesizer)
                 )
+                create_speech_span: Optional[Span] = None
+                ttft_span: Optional[Span] = None
+                synthesis_span: Optional[Span] = None
+                if synthesizer_base_name and agent_response_message.is_first:
+                    complete_span_by_op(CustomSentrySpans.LANGUAGE_MODEL_TIME_TO_FIRST_TOKEN)
+
+                    sentry_create_span(
+                        sentry_callable=sentry_sdk.start_span,
+                        op=CustomSentrySpans.SYNTHESIS_TIME_TO_FIRST_TOKEN,
+                    )
+
+                    synthesis_span = sentry_create_span(
+                        sentry_callable=sentry_sdk.start_span,
+                        op=f"{synthesizer_base_name}{CustomSentrySpans.SYNTHESIZER_SYNTHESIS_TOTAL}",
+                    )
+                    if synthesis_span:
+                        ttft_span = sentry_create_span(
+                            sentry_callable=synthesis_span.start_child,
+                            op=f"{synthesizer_base_name}{CustomSentrySpans.SYNTHESIZER_TIME_TO_FIRST_TOKEN}",
+                        )
+                    if ttft_span:
+                        create_speech_span = sentry_create_span(
+                            sentry_callable=ttft_span.start_child,
+                            op=f"{synthesizer_base_name}{CustomSentrySpans.SYNTHESIZER_CREATE_SPEECH}",
+                        )
+                maybe_synthesis_result: Optional[SynthesisResult] = None
+                if isinstance(
+                    self.conversation.synthesizer,
+                    InputStreamingSynthesizer,
+                ) and isinstance(agent_response_message.message, LLMToken):
+                    logger.debug("Sending chunk to synthesizer")
+                    await self.conversation.synthesizer.send_token_to_synthesizer(
+                        message=agent_response_message.message,
+                        chunk_size=self.chunk_size,
+                    )
+                else:
+                    logger.debug("Synthesizing speech for message")
+                    maybe_synthesis_result = await self.conversation.synthesizer.create_speech(
+                        agent_response_message.message,
+                        self.chunk_size,
+                        is_first_text_chunk=self.is_first_text_chunk,
+                        is_sole_text_chunk=agent_response_message.is_sole_text_chunk,
+                    )
+                if create_speech_span:
+                    create_speech_span.finish()
+                # For input streaming synthesizers, subsequent chunks are contained in the same SynthesisResult
+                if isinstance(self.conversation.synthesizer, InputStreamingSynthesizer):
+                    if not self.is_first_text_chunk:
+                        maybe_synthesis_result = None
+                    elif isinstance(agent_response_message.message, LLMToken):
+                        maybe_synthesis_result = (
+                            self.conversation.synthesizer.get_current_utterance_synthesis_result()
+                        )
+                if maybe_synthesis_result is not None:
+                    synthesis_result = maybe_synthesis_result
+                    synthesis_result.is_first = agent_response_message.is_first
+                    if not synthesis_result.cached and synthesis_span:
+                        synthesis_result.synthesis_total_span = synthesis_span
+                        synthesis_result.ttft_span = ttft_span
+                    self.consumer.consume_nonblocking(
+                        self.interruptible_event_factory.create_interruptible_agent_response_event(
+                            (agent_response_message.message, synthesis_result),
+                            is_interruptible=item.is_interruptible,
+                            agent_response_tracker=item.agent_response_tracker,
+                        ),
+                    )
+                self.last_agent_response_tracker = item.agent_response_tracker
+                if not isinstance(agent_response_message.message, SilenceMessage):
+                    self.is_first_text_chunk = False
             except asyncio.CancelledError:
                 pass
 
-    class SynthesisResultsWorker(InterruptibleAgentResponseWorker):
+    class SynthesisResultsWorker(
+        InterruptibleWorker[
+            InterruptibleAgentResponseEvent[
+                Tuple[Union[BaseMessage, EndOfTurn], Optional[SynthesisResult]]
+            ]
+        ]
+    ):
         """Plays SynthesisResults from the output queue on the output device"""
 
         def __init__(
             self,
-            input_queue: asyncio.Queue[
-                InterruptibleAgentResponseEvent[Tuple[BaseMessage, SynthesisResult]]
-            ],
             conversation: "StreamingConversation",
         ):
-            super().__init__(input_queue=input_queue)
-            self.input_queue = input_queue
+            super().__init__()
             self.conversation = conversation
+            self.last_transcript_message: Optional[Message] = None
 
         async def process(
             self,
-            item: InterruptibleAgentResponseEvent[Tuple[BaseMessage, SynthesisResult]],
+            item: InterruptibleAgentResponseEvent[
+                Tuple[Union[BaseMessage, EndOfTurn], Optional[SynthesisResult]]
+            ],
         ):
             try:
                 message, synthesis_result = item.payload
+                if isinstance(message, EndOfTurn):
+                    if self.last_transcript_message is not None:
+                        self.last_transcript_message.is_end_of_turn = True
+                    item.agent_response_tracker.set()
+                    return
+                assert synthesis_result is not None
                 # create an empty transcript message and attach it to the transcript
                 transcript_message = Message(
                     text="",
                     sender=Sender.BOT,
+                    is_backchannel=isinstance(message, BotBackchannel),
                 )
-                self.conversation.transcript.add_message(
-                    message=transcript_message,
-                    conversation_id=self.conversation.id,
-                    publish_to_events_manager=False,
-                )
+                if not isinstance(message, SilenceMessage):
+                    self.conversation.transcript.add_message(
+                        message=transcript_message,
+                        conversation_id=self.conversation.id,
+                        publish_to_events_manager=False,
+                    )
+                if isinstance(message, SilenceMessage):
+                    logger.debug(f"Sending {message.trailing_silence_seconds} seconds of silence")
+                elif isinstance(message, BotBackchannel):
+                    logger.debug(f"Sending backchannel: {message}")
                 message_sent, cut_off = await self.conversation.send_speech_to_output(
                     message.text,
                     synthesis_result,
@@ -343,25 +578,10 @@ async def process(
                     conversation_id=self.conversation.id,
                 )
                 item.agent_response_tracker.set()
-                self.conversation.logger.debug("Message sent: {}".format(message_sent))
+                logger.debug("Message sent: {}".format(message_sent))
                 if cut_off:
-                    self.conversation.agent.update_last_bot_message_on_cut_off(
-                        message_sent
-                    )
-                if self.conversation.agent.agent_config.end_conversation_on_goodbye:
-                    goodbye_detected_task = (
-                        self.conversation.agent.create_goodbye_detection_task(
-                            message_sent
-                        )
-                    )
-                    try:
-                        if await asyncio.wait_for(goodbye_detected_task, 0.1):
-                            self.conversation.logger.debug(
-                                "Agent said goodbye, ending call"
-                            )
-                            await self.conversation.terminate()
-                    except asyncio.TimeoutError:
-                        pass
+                    self.conversation.agent.update_last_bot_message_on_cut_off(message_sent)
+                self.last_transcript_message = transcript_message
             except asyncio.CancelledError:
                 pass
 
@@ -371,16 +591,13 @@ def __init__(
         transcriber: BaseTranscriber[TranscriberConfig],
         agent: BaseAgent,
         synthesizer: BaseSynthesizer,
+        speed_coefficient: float = 1.0,
         conversation_id: Optional[str] = None,
-        per_chunk_allowance_seconds: float = PER_CHUNK_ALLOWANCE_SECONDS,
         events_manager: Optional[EventsManager] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         self.id = conversation_id or create_conversation_id()
-        self.logger = wrap_logger(
-            logger or logging.getLogger(__name__),
-            conversation_id=self.id,
-        )
+        ctx_conversation_id.set(self.id)
+
         self.output_device = output_device
         self.transcriber = transcriber
         self.agent = agent
@@ -388,86 +605,98 @@ def __init__(
         self.synthesis_enabled = True
 
         self.interruptible_events: queue.Queue[InterruptibleEvent] = queue.Queue()
-        self.interruptible_event_factory = self.QueueingInterruptibleEventFactory(
-            conversation=self
-        )
-        self.agent.set_interruptible_event_factory(self.interruptible_event_factory)
+        self.interruptible_event_factory = self.QueueingInterruptibleEventFactory(conversation=self)
         self.synthesis_results_queue: asyncio.Queue[
-            InterruptibleAgentResponseEvent[Tuple[BaseMessage, SynthesisResult]]
-        ] = asyncio.Queue()
-        self.filler_audio_queue: asyncio.Queue[
-            InterruptibleAgentResponseEvent[FillerAudio]
+            InterruptibleAgentResponseEvent[
+                Tuple[Union[BaseMessage, EndOfTurn], Optional[SynthesisResult]]
+            ]
         ] = asyncio.Queue()
         self.state_manager = self.create_state_manager()
+
+        # Transcriptions Worker
         self.transcriptions_worker = self.TranscriptionsWorker(
-            input_queue=self.transcriber.output_queue,
-            output_queue=self.agent.get_input_queue(),
             conversation=self,
             interruptible_event_factory=self.interruptible_event_factory,
         )
+        self.transcriber.consumer = self.transcriptions_worker
+
+        # Agent
+        self.transcriptions_worker.consumer = self.agent
+        self.agent.set_interruptible_event_factory(self.interruptible_event_factory)
         self.agent.attach_conversation_state_manager(self.state_manager)
+
+        # Agent Responses Worker
         self.agent_responses_worker = self.AgentResponsesWorker(
-            input_queue=self.agent.get_output_queue(),
-            output_queue=self.synthesis_results_queue,
             conversation=self,
             interruptible_event_factory=self.interruptible_event_factory,
         )
+        self.agent.agent_responses_consumer = self.agent_responses_worker
+
+        # Actions Worker
         self.actions_worker = None
         if self.agent.get_agent_config().actions:
             self.actions_worker = ActionsWorker(
-                input_queue=self.agent.actions_queue,
-                output_queue=self.agent.get_input_queue(),
-                interruptible_event_factory=self.interruptible_event_factory,
                 action_factory=self.agent.action_factory,
+                interruptible_event_factory=self.interruptible_event_factory,
             )
             self.actions_worker.attach_conversation_state_manager(self.state_manager)
-        self.synthesis_results_worker = self.SynthesisResultsWorker(
-            input_queue=self.synthesis_results_queue, conversation=self
-        )
+            self.actions_worker.consumer = self.agent
+            self.agent.actions_consumer = self.actions_worker
+
+        # Synthesis Results Worker
+        self.synthesis_results_worker = self.SynthesisResultsWorker(conversation=self)
+        self.agent_responses_worker.consumer = self.synthesis_results_worker
+
+        # Filler Audio Worker
         self.filler_audio_worker = None
         self.filler_audio_config: Optional[FillerAudioConfig] = None
         if self.agent.get_agent_config().send_filler_audio:
-            self.filler_audio_worker = self.FillerAudioWorker(
-                input_queue=self.filler_audio_queue, conversation=self
-            )
+            self.filler_audio_worker = self.FillerAudioWorker(conversation=self)
+
+        self.speed_coefficient = speed_coefficient
+        self.speed_manager = SpeedManager(
+            speed_coefficient=self.speed_coefficient,
+        )
+        self.transcriber.attach_speed_manager(self.speed_manager)
+        self.agent.attach_speed_manager(self.speed_manager)
 
         self.events_manager = events_manager or EventsManager()
         self.events_task: Optional[asyncio.Task] = None
-        self.per_chunk_allowance_seconds = per_chunk_allowance_seconds
         self.transcript = Transcript()
         self.transcript.attach_events_manager(self.events_manager)
-        self.bot_sentiment = None
-        if self.agent.get_agent_config().track_bot_sentiment:
-            self.sentiment_config = (
-                self.synthesizer.get_synthesizer_config().sentiment_config
-            )
-            if not self.sentiment_config:
-                self.sentiment_config = SentimentConfig()
-            self.bot_sentiment_analyser = BotSentimentAnalyser(
-                emotions=self.sentiment_config.emotions
-            )
 
         self.is_human_speaking = False
-        self.active = False
+        self.is_terminated = asyncio.Event()
         self.mark_last_action_timestamp()
 
         self.check_for_idle_task: Optional[asyncio.Task] = None
-        self.track_bot_sentiment_task: Optional[asyncio.Task] = None
+        self.check_for_idle_paused = False
+        self.is_human_still_there = True
 
         self.current_transcription_is_interrupt: bool = False
 
+        self.initial_message_tracker = asyncio.Event()
+
         # tracing
         self.start_time: Optional[float] = None
         self.end_time: Optional[float] = None
 
+        self.idle_time_threshold = (
+            self.agent.get_agent_config().allowed_idle_time_seconds or ALLOWED_IDLE_TIME
+        )
+
+        self.interrupt_lock = asyncio.Lock()
+
     def create_state_manager(self) -> ConversationStateManager:
         return ConversationStateManager(conversation=self)
 
     async def start(self, mark_ready: Optional[Callable[[], Awaitable[None]]] = None):
         self.transcriber.start()
+        self.transcriber.streaming_conversation = self
         self.transcriptions_worker.start()
         self.agent_responses_worker.start()
         self.synthesis_results_worker.start()
+        self.synthesizer.streaming_conversation = self
         self.output_device.start()
         if self.filler_audio_worker is not None:
             self.filler_audio_worker.start()
@@ -477,77 +706,103 @@ async def start(self, mark_ready: Optional[Callable[[], Awaitable[None]]] = None
         if not is_ready:
             raise Exception("Transcriber startup failed")
         if self.agent.get_agent_config().send_filler_audio:
-            if not isinstance(
-                self.agent.get_agent_config().send_filler_audio, FillerAudioConfig
-            ):
+            if not isinstance(self.agent.get_agent_config().send_filler_audio, FillerAudioConfig):
                 self.filler_audio_config = FillerAudioConfig()
             else:
                 self.filler_audio_config = typing.cast(
-                    FillerAudioConfig, self.agent.get_agent_config().send_filler_audio
+                    FillerAudioConfig,
+                    self.agent.get_agent_config().send_filler_audio,
                 )
             await self.synthesizer.set_filler_audios(self.filler_audio_config)
 
         self.agent.start()
         initial_message = self.agent.get_agent_config().initial_message
         if initial_message:
-            asyncio.create_task(self.send_initial_message(initial_message))
+            asyncio_create_task(
+                self.send_initial_message(initial_message),
+            )
+        else:
+            self.initial_message_tracker.set()
         self.agent.attach_transcript(self.transcript)
         if mark_ready:
             await mark_ready()
-        if self.synthesizer.get_synthesizer_config().sentiment_config:
-            await self.update_bot_sentiment()
-        self.active = True
-        if self.synthesizer.get_synthesizer_config().sentiment_config:
-            self.track_bot_sentiment_task = asyncio.create_task(
-                self.track_bot_sentiment()
-            )
-        self.check_for_idle_task = asyncio.create_task(self.check_for_idle())
+        self.is_terminated.clear()
+        self.check_for_idle_task = asyncio_create_task(
+            self.check_for_idle(),
+        )
         if len(self.events_manager.subscriptions) > 0:
-            self.events_task = asyncio.create_task(self.events_manager.start())
+            self.events_task = asyncio_create_task(
+                self.events_manager.start(),
+            )
 
-    async def send_initial_message(self, initial_message: BaseMessage):
+    def set_check_for_idle_paused(self, paused: bool):
+        logger.debug(f"Setting idle check paused to {paused}")
+        if not paused:
+            self.mark_last_action_timestamp()
+        self.check_for_idle_paused = paused
+
+    async def send_initial_message(
+        self,
+        initial_message: BaseMessage,
+    ):
         # TODO: configure if initial message is interruptible
-        self.transcriber.mute()
-        initial_message_tracker = asyncio.Event()
+        delay = self.agent.get_agent_config().initial_message_delay
+        if delay > 0:
+            logger.info(f"Waiting {delay} seconds before initial message")
+            await asyncio.sleep(delay)
+        await self.send_single_message(
+            message=initial_message,
+            message_tracker=self.initial_message_tracker,
+        )
+        await self.initial_message_tracker.wait()
+
+    async def action_on_idle(self):
+        logger.debug("Conversation idle for too long, terminating")
+        self.mark_terminated(bot_disconnect=True)
+        return
+
+    async def check_for_idle(self):
+        """Asks if human is still on the line if no activity is detected, and terminates the conversation if not."""
+        await self.initial_message_tracker.wait()
+        check_human_present_count = 0
+        check_human_present_threshold = self.agent.get_agent_config().num_check_human_present_times
+        while self.is_active():
+            if check_human_present_count > 0 and self.is_human_still_there == True:
+                # Reset the counter if the human is still there
+                check_human_present_count = 0
+            if (
+                not self.check_for_idle_paused
+            ) and time.time() - self.last_action_timestamp > self.idle_time_threshold:
+                if check_human_present_count >= check_human_present_threshold:
+                    # Stop the phone call after some retries to prevent infinitely long call where human is just silent.
+                    await self.action_on_idle()
+                self.is_human_still_there = False
+                await self.send_single_message(
+                    message=BaseMessage(text=random.choice(CHECK_HUMAN_PRESENT_MESSAGE_CHOICES)),
+                )
+                check_human_present_count += 1
+            # wait till the idle time would have passed the threshold if no action occurs
+            await asyncio.sleep(self.idle_time_threshold / 2)
+
+    async def send_single_message(
+        self,
+        message: BaseMessage,
+        message_tracker: Optional[asyncio.Event] = None,
+    ):
         agent_response_event = (
             self.interruptible_event_factory.create_interruptible_agent_response_event(
-                AgentResponseMessage(message=initial_message),
+                AgentResponseMessage(message=message, is_sole_text_chunk=True),
                 is_interruptible=False,
-                agent_response_tracker=initial_message_tracker,
+                agent_response_tracker=message_tracker,
             )
         )
         self.agent_responses_worker.consume_nonblocking(agent_response_event)
-        await initial_message_tracker.wait()
-        self.transcriber.unmute()
-
-    async def check_for_idle(self):
-        """Terminates the conversation after 15 seconds if no activity is detected"""
-        while self.is_active():
-            if time.time() - self.last_action_timestamp > (
-                self.agent.get_agent_config().allowed_idle_time_seconds
-                or ALLOWED_IDLE_TIME
-            ):
-                self.logger.debug("Conversation idle for too long, terminating")
-                await self.terminate()
-                return
-            await asyncio.sleep(15)
-
-    async def track_bot_sentiment(self):
-        """Updates self.bot_sentiment every second based on the current transcript"""
-        prev_transcript = None
-        while self.is_active():
-            await asyncio.sleep(1)
-            if self.transcript.to_string() != prev_transcript:
-                await self.update_bot_sentiment()
-                prev_transcript = self.transcript.to_string()
-
-    async def update_bot_sentiment(self):
-        new_bot_sentiment = await self.bot_sentiment_analyser.analyse(
-            self.transcript.to_string()
+        self.agent_responses_worker.consume_nonblocking(
+            self.interruptible_event_factory.create_interruptible_agent_response_event(
+                AgentResponseMessage(message=EndOfTurn()),
+                is_interruptible=True,
+            ),
         )
-        if new_bot_sentiment.emotion:
-            self.logger.debug("Bot sentiment: %s", new_bot_sentiment)
-            self.bot_sentiment = new_bot_sentiment
 
     def receive_message(self, message: str):
         transcription = Transcription(
@@ -557,45 +812,82 @@ def receive_message(self, message: str):
         )
         self.transcriptions_worker.consume_nonblocking(transcription)
 
-    def receive_audio(self, chunk: bytes):
-        self.transcriber.send_audio(chunk)
+    def consume_nonblocking(self, item: bytes):
+        self.transcriber.send_audio(item)
 
     def warmup_synthesizer(self):
-        self.synthesizer.ready_synthesizer()
+        self.synthesizer.ready_synthesizer(self._get_synthesizer_chunk_size())
 
     def mark_last_action_timestamp(self):
         self.last_action_timestamp = time.time()
 
-    def broadcast_interrupt(self):
+    async def broadcast_interrupt(self):
         """Stops all inflight events and cancels all workers that are sending output
 
         Returns true if any events were interrupted - which is used as a flag for the agent (is_interrupt)
         """
-        num_interrupts = 0
-        while True:
-            try:
-                interruptible_event = self.interruptible_events.get_nowait()
-                if not interruptible_event.is_interrupted():
-                    if interruptible_event.interrupt():
-                        self.logger.debug("Interrupting event")
-                        num_interrupts += 1
-            except queue.Empty:
-                break
-        self.agent.cancel_current_task()
-        self.agent_responses_worker.cancel_current_task()
-        return num_interrupts > 0
+        async with self.interrupt_lock:
+            num_interrupts = 0
+            while True:
+                try:
+                    interruptible_event = self.interruptible_events.get_nowait()
+                    if not interruptible_event.is_interrupted():
+                        if interruptible_event.interrupt():
+                            logger.debug(
+                                f"Interrupting event {type(interruptible_event.payload)} {interruptible_event.payload}",
+                            )
+                            num_interrupts += 1
+                except queue.Empty:
+                    break
+            self.output_device.interrupt()
+            self.agent.cancel_current_task()
+            self.agent_responses_worker.cancel_current_task()
+            if self.actions_worker:
+                self.actions_worker.cancel_current_task()
+            return num_interrupts > 0
 
     def is_interrupt(self, transcription: Transcription):
         return transcription.confidence >= (
             self.transcriber.get_transcriber_config().min_interrupt_confidence or 0
         )
 
+    def _maybe_create_first_chunk_span(self, synthesis_result: SynthesisResult, message: str):
+        first_chunk_span: Optional[Span] = None
+        if synthesis_result.synthesis_total_span:
+            synthesis_result.synthesis_total_span.set_tag("message_length", len(message))
+        if synthesis_result.ttft_span:
+            synthesis_result.ttft_span.set_tag("message_length", len(message))
+            first_chunk_span = sentry_create_span(
+                sentry_callable=synthesis_result.ttft_span.start_child,
+                op=CustomSentrySpans.SYNTHESIS_GENERATE_FIRST_CHUNK,
+            )
+        return first_chunk_span
+
+    def _track_first_chunk(self, first_chunk_span: Span, synthesis_result: SynthesisResult):
+        complete_span_by_op(CustomSentrySpans.SYNTHESIS_TIME_TO_FIRST_TOKEN)
+        first_chunk_span.finish()
+        if synthesis_result.ttft_span:
+            synthesis_result.ttft_span.finish()
+        complete_span_by_op(CustomSentrySpans.LATENCY_OF_CONVERSATION)
+
+    def _get_synthesizer_chunk_size(
+        self,
+        seconds_per_chunk: float = TEXT_TO_SPEECH_CHUNK_SIZE_SECONDS,
+    ):
+        return int(
+            seconds_per_chunk
+            * get_chunk_size_per_second(
+                self.synthesizer.get_synthesizer_config().audio_encoding,
+                self.synthesizer.get_synthesizer_config().sampling_rate,
+            ),
+        )
+
     async def send_speech_to_output(
         self,
         message: str,
         synthesis_result: SynthesisResult,
         stop_event: threading.Event,
-        seconds_per_chunk: int,
+        seconds_per_chunk: float,
         transcript_message: Optional[Message] = None,
         started_event: Optional[threading.Event] = None,
     ):
@@ -605,116 +897,152 @@ async def send_speech_to_output(
         - If the stop_event is set, the output is stopped
         - Sets started_event when the first chunk is sent
 
-        Importantly, we rate limit the chunks sent to the output. For interrupts to work properly,
-        the next chunk of audio can only be sent after the last chunk is played, so we send
-        a chunk of x seconds only after x seconds have passed since the last chunk was sent.
-
         Returns the message that was sent up to, and a flag if the message was cut off
         """
+        seconds_spoken = 0.0
+
+        def create_on_play_callback(
+            chunk_idx: int,
+            processed_event: asyncio.Event,
+        ):
+            def _on_play():
+                if chunk_idx == 0:
+                    if started_event:
+                        started_event.set()
+                    if first_chunk_span:
+                        self._track_first_chunk(first_chunk_span, synthesis_result)
+
+                nonlocal seconds_spoken
+
+                self.mark_last_action_timestamp()
+
+                seconds_spoken += seconds_per_chunk
+                if transcript_message:
+                    transcript_message.text = synthesis_result.get_message_up_to(seconds_spoken)
+
+                processed_event.set()
+
+            return _on_play
+
+        def create_on_interrupt_callback(
+            processed_event: asyncio.Event,
+        ):
+            def _on_interrupt():
+                processed_event.set()
+
+            return _on_interrupt
+
         if self.transcriber.get_transcriber_config().mute_during_speech:
-            self.logger.debug("Muting transcriber")
+            logger.debug("Muting transcriber")
             self.transcriber.mute()
-        message_sent = message
-        cut_off = False
-        chunk_size = seconds_per_chunk * get_chunk_size_per_second(
-            self.synthesizer.get_synthesizer_config().audio_encoding,
-            self.synthesizer.get_synthesizer_config().sampling_rate,
-        )
-        chunk_idx = 0
-        seconds_spoken = 0
-        async for chunk_result in synthesis_result.chunk_generator:
-            start_time = time.time()
-            speech_length_seconds = seconds_per_chunk * (
-                len(chunk_result.chunk) / chunk_size
-            )
-            seconds_spoken = chunk_idx * seconds_per_chunk
+        logger.debug(f"Start sending speech {message} to output")
+
+        first_chunk_span = self._maybe_create_first_chunk_span(synthesis_result, message)
+        audio_chunks: List[AudioChunk] = []
+        processed_events: List[asyncio.Event] = []
+        interrupted_before_all_chunks_sent = False
+        async for chunk_idx, chunk_result in enumerate_async_iter(synthesis_result.chunk_generator):
             if stop_event.is_set():
-                self.logger.debug(
-                    "Interrupted, stopping text to speech after {} chunks".format(
-                        chunk_idx
-                    )
-                )
-                message_sent = f"{synthesis_result.get_message_up_to(seconds_spoken)}-"
-                cut_off = True
+                logger.debug("Interrupted before all chunks were sent")
+                interrupted_before_all_chunks_sent = True
                 break
-            if chunk_idx == 0:
-                if started_event:
-                    started_event.set()
-            self.output_device.consume_nonblocking(chunk_result.chunk)
-            end_time = time.time()
-            await asyncio.sleep(
-                max(
-                    speech_length_seconds
-                    - (end_time - start_time)
-                    - self.per_chunk_allowance_seconds,
-                    0,
-                )
+            processed_event = asyncio.Event()
+            audio_chunk = AudioChunk(
+                data=chunk_result.chunk,
             )
-            self.logger.debug(
-                "Sent chunk {} with size {}".format(chunk_idx, len(chunk_result.chunk))
+            # register callbacks
+            setattr(audio_chunk, "on_play", create_on_play_callback(chunk_idx, processed_event))
+            setattr(
+                audio_chunk,
+                "on_interrupt",
+                create_on_interrupt_callback(processed_event),
             )
-            self.mark_last_action_timestamp()
-            chunk_idx += 1
-            seconds_spoken += seconds_per_chunk
-            if transcript_message:
-                transcript_message.text = synthesis_result.get_message_up_to(
-                    seconds_spoken
+            # Prevents the case where we send a chunk after the output device has been interrupted
+            async with self.interrupt_lock:
+                self.output_device.consume_nonblocking(
+                    InterruptibleEvent(
+                        payload=audio_chunk,
+                        is_interruptible=True,
+                        interruption_event=stop_event,
+                    ),
                 )
+            audio_chunks.append(audio_chunk)
+            processed_events.append(processed_event)
+
+        logger.debug("Finished sending chunks to the output device")
+
+        if processed_events:
+            await processed_events[-1].wait()
+
+        maybe_first_interrupted_audio_chunk = next(
+            (
+                audio_chunk
+                for audio_chunk in audio_chunks
+                if audio_chunk.state == ChunkState.INTERRUPTED
+            ),
+            None,
+        )
+        cut_off = (
+            interrupted_before_all_chunks_sent or maybe_first_interrupted_audio_chunk is not None
+        )
+        if (
+            transcript_message and not cut_off
+        ):  # if the audio was not cut off, we can set the transcript message to the full message
+            transcript_message.text = synthesis_result.get_message_up_to(None)
+
         if self.transcriber.get_transcriber_config().mute_during_speech:
-            self.logger.debug("Unmuting transcriber")
+            logger.debug("Unmuting transcriber")
             self.transcriber.unmute()
         if transcript_message:
-            transcript_message.text = message_sent
+            transcript_message.is_final = not cut_off
+        message_sent = transcript_message.text if transcript_message and cut_off else message
+        if synthesis_result.synthesis_total_span:
+            synthesis_result.synthesis_total_span.finish()
         return message_sent, cut_off
 
-    def mark_terminated(self):
-        self.active = False
+    def mark_terminated(self, bot_disconnect: bool = False):
+        self.is_terminated.set()
 
     async def terminate(self):
         self.mark_terminated()
-        self.broadcast_interrupt()
+        await self.broadcast_interrupt()
         self.events_manager.publish_event(
-            TranscriptCompleteEvent(conversation_id=self.id, transcript=self.transcript)
+            TranscriptCompleteEvent(
+                conversation_id=self.id,
+                transcript=self.transcript,
+            ),
         )
         if self.check_for_idle_task:
-            self.logger.debug("Terminating check_for_idle Task")
+            logger.debug("Terminating check_for_idle Task")
             self.check_for_idle_task.cancel()
-        if self.track_bot_sentiment_task:
-            self.logger.debug("Terminating track_bot_sentiment Task")
-            self.track_bot_sentiment_task.cancel()
         if self.events_manager and self.events_task:
-            self.logger.debug("Terminating events Task")
+            logger.debug("Terminating events Task")
+            self.events_task.cancel()
             await self.events_manager.flush()
-        self.logger.debug("Tearing down synthesizer")
+        logger.debug("Tearing down synthesizer")
         await self.synthesizer.tear_down()
-        self.logger.debug("Terminating agent")
-        if (
-            isinstance(self.agent, ChatGPTAgent)
-            and self.agent.agent_config.vector_db_config
-        ):
-            # Shutting down the vector db should be done in the agent's terminate method,
-            # but it is done here because `vector_db.tear_down()` is async and
-            # `agent.terminate()` is not async.
-            self.logger.debug("Terminating vector db")
-            await self.agent.vector_db.tear_down()
-        self.agent.terminate()
-        self.logger.debug("Terminating output device")
-        self.output_device.terminate()
-        self.logger.debug("Terminating speech transcriber")
-        self.transcriber.terminate()
-        self.logger.debug("Terminating transcriptions worker")
-        self.transcriptions_worker.terminate()
-        self.logger.debug("Terminating final transcriptions worker")
-        self.agent_responses_worker.terminate()
-        self.logger.debug("Terminating synthesis results worker")
-        self.synthesis_results_worker.terminate()
+        logger.debug("Terminating agent")
+        await self.agent.terminate()
+        logger.debug("Terminating output device")
+        await self.output_device.terminate()
+        logger.debug("Terminating speech transcriber")
+        await self.transcriber.terminate()
+        logger.debug("Terminating transcriptions worker")
+        await self.transcriptions_worker.terminate()
+        logger.debug("Terminating final transcriptions worker")
+        await self.agent_responses_worker.terminate()
+        logger.debug("Terminating synthesis results worker")
+        await self.synthesis_results_worker.terminate()
         if self.filler_audio_worker is not None:
-            self.logger.debug("Terminating filler audio worker")
-            self.filler_audio_worker.terminate()
+            logger.debug("Terminating filler audio worker")
+            await self.filler_audio_worker.terminate()
         if self.actions_worker is not None:
-            self.logger.debug("Terminating actions worker")
-            self.actions_worker.terminate()
-        self.logger.debug("Successfully terminated")
+            logger.debug("Terminating actions worker")
+            await self.actions_worker.terminate()
+        logger.debug("Successfully terminated")
 
     def is_active(self):
-        return self.active
+        return not self.is_terminated.is_set()
+
+    async def wait_for_termination(self):
+        await self.is_terminated.wait()
diff --git a/vocode/streaming/synthesizer/__init__.py b/vocode/streaming/synthesizer/__init__.py
index c4e720a6dd..e69de29bb2 100644
--- a/vocode/streaming/synthesizer/__init__.py
+++ b/vocode/streaming/synthesizer/__init__.py
@@ -1,13 +0,0 @@
-from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
-from vocode.streaming.synthesizer.bark_synthesizer import BarkSynthesizer
-from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer
-from vocode.streaming.synthesizer.coqui_synthesizer import CoquiSynthesizer
-from vocode.streaming.synthesizer.coqui_tts_synthesizer import CoquiTTSSynthesizer
-from vocode.streaming.synthesizer.eleven_labs_synthesizer import ElevenLabsSynthesizer
-from vocode.streaming.synthesizer.google_synthesizer import GoogleSynthesizer
-from vocode.streaming.synthesizer.gtts_synthesizer import GTTSSynthesizer
-from vocode.streaming.synthesizer.play_ht_synthesizer import PlayHtSynthesizer
-from vocode.streaming.synthesizer.rime_synthesizer import RimeSynthesizer
-from vocode.streaming.synthesizer.stream_elements_synthesizer import (
-    StreamElementsSynthesizer,
-)
diff --git a/vocode/streaming/synthesizer/abstract_factory.py b/vocode/streaming/synthesizer/abstract_factory.py
new file mode 100644
index 0000000000..864dabcefe
--- /dev/null
+++ b/vocode/streaming/synthesizer/abstract_factory.py
@@ -0,0 +1,15 @@
+from abc import ABC, abstractmethod
+
+from vocode.streaming.models.synthesizer import SynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer
+from vocode.streaming.utils.async_requester import AsyncRequestor
+
+
+class AbstractSynthesizerFactory(ABC):
+    # TODO(DOW-48): Make this not require async_requestor
+    @abstractmethod
+    def create_synthesizer(
+        self,
+        synthesizer_config: SynthesizerConfig,
+    ) -> BaseSynthesizer:
+        pass
diff --git a/vocode/streaming/synthesizer/audio_cache.py b/vocode/streaming/synthesizer/audio_cache.py
new file mode 100644
index 0000000000..6d767b5bb7
--- /dev/null
+++ b/vocode/streaming/synthesizer/audio_cache.py
@@ -0,0 +1,47 @@
+from typing import Optional
+
+from loguru import logger
+
+from vocode.streaming.utils.redis import initialize_redis_bytes
+from vocode.streaming.utils.singleton import Singleton
+
+
+class AudioCache(Singleton):
+    def __init__(self):
+        self.redis = initialize_redis_bytes()
+        self.disabled = False
+
+    @staticmethod
+    async def safe_create():
+        if AudioCache in Singleton._instances:
+            return Singleton._instances[AudioCache]
+
+        audio_cache = AudioCache()
+        try:
+            await audio_cache.redis.ping()
+        except Exception:
+            logger.warning("Redis ping failed on startup, disabling audio cache")
+            audio_cache.disabled = True
+        return audio_cache
+
+    def get_audio_key(self, voice_identifier: str, text: str) -> str:
+        return f"audio_cache:{voice_identifier}:{text}"
+
+    async def get_audio(self, voice_identifier: str, text: str) -> Optional[bytes]:
+        audio_key = self.get_audio_key(voice_identifier, text)
+        if self.disabled:
+            return None
+        return await self.redis.get(audio_key)
+
+    async def set_audio(
+        self, voice_identifier: str, text: str, audio: bytes, ttl: Optional[int] = None
+    ):
+        # TODO: cache eviction
+        if self.disabled:
+            logger.warning("Audio cache is disabled")
+            return
+        logger.info(f"Setting audio for {voice_identifier} {text}")
+        audio_key = self.get_audio_key(voice_identifier, text)
+        await self.redis.set(audio_key, audio)
+        if ttl is not None:
+            await self.redis.expire(audio_key, ttl)
diff --git a/vocode/streaming/synthesizer/azure_synthesizer.py b/vocode/streaming/synthesizer/azure_synthesizer.py
index dab63b5226..67171dc4fa 100644
--- a/vocode/streaming/synthesizer/azure_synthesizer.py
+++ b/vocode/streaming/synthesizer/azure_synthesizer.py
@@ -1,31 +1,25 @@
 import asyncio
-from concurrent.futures import ThreadPoolExecutor
-import logging
 import os
 import re
-from typing import Any, List, Optional, Tuple
+from concurrent.futures import ThreadPoolExecutor
+from typing import List, Optional
 from xml.etree import ElementTree
-import aiohttp
-from vocode import getenv
-from opentelemetry.context.context import Context
 
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
-from vocode.streaming.models.message import BaseMessage, SSMLMessage
+import azure.cognitiveservices.speech as speechsdk
+from loguru import logger
 
+from vocode import getenv
+from vocode.streaming.models.audio import AudioEncoding, SamplingRate
+from vocode.streaming.models.message import BaseMessage, SSMLMessage
+from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
 from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    FILLER_PHRASES,
     FILLER_AUDIO_PATH,
+    FILLER_PHRASES,
+    BaseSynthesizer,
     FillerAudio,
+    SynthesisResult,
     encode_as_wav,
-    tracer,
 )
-from vocode.streaming.models.synthesizer import AzureSynthesizerConfig, SynthesizerType
-from vocode.streaming.models.audio_encoding import AudioEncoding
-
-import azure.cognitiveservices.speech as speechsdk
-
 
 NAMESPACES = {
     "mstts": "https://www.w3.org/2001/mstts",
@@ -35,6 +29,12 @@
 ElementTree.register_namespace("", NAMESPACES[""])
 ElementTree.register_namespace("mstts", NAMESPACES["mstts"])
 
+_AZURE_INSIDE_VOICE_REGEX = r"<voice[^>]*>(.*?)<\/voice>"
+
+
+class AzureSynthesizerException(Exception):
+    pass
+
 
 class WordBoundaryEventPool:
     def __init__(self):
@@ -60,12 +60,10 @@ class AzureSynthesizer(BaseSynthesizer[AzureSynthesizerConfig]):
     def __init__(
         self,
         synthesizer_config: AzureSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
         azure_speech_key: Optional[str] = None,
         azure_speech_region: Optional[str] = None,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ):
-        super().__init__(synthesizer_config, aiohttp_session)
+        super().__init__(synthesizer_config)
         # Instantiates a client
         azure_speech_key = azure_speech_key or getenv("AZURE_SPEECH_KEY")
         azure_speech_region = azure_speech_region or getenv("AZURE_SPEECH_REGION")
@@ -81,23 +79,23 @@ def __init__(
             subscription=azure_speech_key, region=azure_speech_region
         )
         if self.synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
-            if self.synthesizer_config.sampling_rate == 44100:
+            if self.synthesizer_config.sampling_rate == SamplingRate.RATE_44100:
                 speech_config.set_speech_synthesis_output_format(
                     speechsdk.SpeechSynthesisOutputFormat.Raw44100Hz16BitMonoPcm
                 )
-            if self.synthesizer_config.sampling_rate == 48000:
+            if self.synthesizer_config.sampling_rate == SamplingRate.RATE_48000:
                 speech_config.set_speech_synthesis_output_format(
                     speechsdk.SpeechSynthesisOutputFormat.Raw48Khz16BitMonoPcm
                 )
-            if self.synthesizer_config.sampling_rate == 24000:
+            if self.synthesizer_config.sampling_rate == SamplingRate.RATE_24000:
                 speech_config.set_speech_synthesis_output_format(
                     speechsdk.SpeechSynthesisOutputFormat.Raw24Khz16BitMonoPcm
                 )
-            elif self.synthesizer_config.sampling_rate == 16000:
+            elif self.synthesizer_config.sampling_rate == SamplingRate.RATE_16000:
                 speech_config.set_speech_synthesis_output_format(
                     speechsdk.SpeechSynthesisOutputFormat.Raw16Khz16BitMonoPcm
                 )
-            elif self.synthesizer_config.sampling_rate == 8000:
+            elif self.synthesizer_config.sampling_rate == SamplingRate.RATE_8000:
                 speech_config.set_speech_synthesis_output_format(
                     speechsdk.SpeechSynthesisOutputFormat.Raw8Khz16BitMonoPcm
                 )
@@ -113,7 +111,19 @@ def __init__(
         self.pitch = self.synthesizer_config.pitch
         self.rate = self.synthesizer_config.rate
         self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
-        self.logger = logger or logging.getLogger(__name__)
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: AzureSynthesizerConfig) -> str:
+        return ":".join(
+            (
+                "azure",
+                synthesizer_config.voice_name,
+                str(synthesizer_config.pitch),
+                str(synthesizer_config.rate),
+                synthesizer_config.language_code,
+                synthesizer_config.audio_encoding,
+            )
+        )
 
     async def get_phrase_filler_audios(self) -> List[FillerAudio]:
         filler_phrase_audios = []
@@ -133,8 +143,11 @@ async def get_phrase_filler_audios(self) -> List[FillerAudio]:
             if os.path.exists(filler_audio_path):
                 audio_data = open(filler_audio_path, "rb").read()
             else:
-                self.logger.debug(f"Generating filler audio for {filler_phrase.text}")
-                ssml = self.create_ssml(filler_phrase.text)
+                logger.debug(f"Generating filler audio for {filler_phrase.text}")
+                ssml = self.create_ssml(
+                    message=filler_phrase.text, synthesizer_config=self.synthesizer_config
+                )
+                self.total_chars += self.get_total_chars_from_ssml(ssml)
                 result = await asyncio.get_event_loop().run_in_executor(
                     self.thread_pool_executor, self.synthesizer.speak_ssml, ssml
                 )
@@ -166,56 +179,73 @@ def add_marks(self, message: str, index=0) -> str:
     def word_boundary_cb(self, evt, pool):
         pool.add(evt)
 
-    def create_ssml(
-        self, message: str, bot_sentiment: Optional[BotSentiment] = None
-    ) -> str:
+    @classmethod
+    def compute_total_chars(
+        cls, message: BaseMessage, synthesizer_config: AzureSynthesizerConfig
+    ) -> int:
+        ssml = (
+            message.ssml
+            if isinstance(message, SSMLMessage)
+            else cls.create_ssml(message=message.text, synthesizer_config=synthesizer_config)
+        )
+        return cls.get_total_chars_from_ssml(ssml)
+
+    @staticmethod
+    def get_total_chars_from_ssml(ssml: str) -> int:
+        regmatch = re.search(_AZURE_INSIDE_VOICE_REGEX, ssml, re.DOTALL)
+        if regmatch:
+            return len(regmatch.group(1))
+        return 0
+
+    @staticmethod
+    def create_ssml(message: str, synthesizer_config: AzureSynthesizerConfig) -> str:
+        voice_language_code = synthesizer_config.voice_name[:5]
         ssml_root = ElementTree.fromstring(
-            '<speak version="1.0" xmlns="https://www.w3.org/2001/10/synthesis" xml:lang="en-US"></speak>'
+            f'<speak version="1.0" xmlns="https://www.w3.org/2001/10/synthesis" xml:lang="{voice_language_code}"></speak>'
         )
         voice = ElementTree.SubElement(ssml_root, "voice")
-        voice.set("name", self.voice_name)
-        voice_root = voice
-        if bot_sentiment and bot_sentiment.emotion:
-            styled = ElementTree.SubElement(
-                voice, "{%s}express-as" % NAMESPACES.get("mstts")
-            )
-            styled.set("style", bot_sentiment.emotion)
-            styled.set(
-                "styledegree", str(bot_sentiment.degree * 2)
-            )  # Azure specific, it's a scale of 0-2
-            voice_root = styled
+        voice.set("name", synthesizer_config.voice_name)
+        if synthesizer_config.language_code != "en-US":
+            lang = ElementTree.SubElement(voice, "{%s}lang" % NAMESPACES.get(""))
+            lang.set("xml:lang", synthesizer_config.language_code)
+            voice_root = lang
+        else:
+            voice_root = voice
         # this ugly hack is necessary so we can limit the gap between sentences
         # for normal sentences, it seems like the gap is > 500ms, so we're able to reduce it to 500ms
         # for very tiny sentences, the API hangs - so we heuristically only update the silence gap
         # if there is more than one word in the sentence
         if " " in message:
-            silence = ElementTree.SubElement(
-                voice_root, "{%s}silence" % NAMESPACES.get("mstts")
-            )
+            silence = ElementTree.SubElement(voice_root, "{%s}silence" % NAMESPACES.get("mstts"))
             silence.set("value", "500ms")
             silence.set("type", "Tailing-exact")
         prosody = ElementTree.SubElement(voice_root, "prosody")
-        prosody.set("pitch", f"{self.pitch}%")
-        prosody.set("rate", f"{self.rate}%")
+        prosody.set("pitch", f"{synthesizer_config.pitch}%")
+        prosody.set("rate", f"{synthesizer_config.rate}%")
         prosody.text = message.strip()
-        return ElementTree.tostring(ssml_root, encoding="unicode")
+        ssml = ElementTree.tostring(ssml_root, encoding="unicode")
+        return ssml
 
     def synthesize_ssml(self, ssml: str) -> speechsdk.AudioDataStream:
         result = self.synthesizer.start_speaking_ssml_async(ssml).get()
         return speechsdk.AudioDataStream(result)
 
-    def ready_synthesizer(self):
-        connection = speechsdk.Connection.from_speech_synthesizer(self.synthesizer)
-        connection.open(True)
+    def ready_synthesizer(self, chunk_size: int):
+        # TODO: remove warming up the synthesizer for now
+        # connection = speechsdk.Connection.from_speech_synthesizer(self.synthesizer)
+        # connection.open(True)
+        pass
 
     # given the number of seconds the message was allowed to go until, where did we get in the message?
     def get_message_up_to(
         self,
         message: str,
         ssml: str,
-        seconds: int,
+        seconds: Optional[float],
         word_boundary_event_pool: WordBoundaryEventPool,
     ) -> str:
+        if seconds is None:
+            return message
         events = word_boundary_event_pool.get_events_sorted()
         for event in events:
             if event["audio_offset"] > seconds:
@@ -224,15 +254,25 @@ def get_message_up_to(
                 return ssml_fragment.split(">")[-1]
         return message
 
-    async def create_speech(
+    async def _check_stream_for_errors(self, audio_data_stream: speechsdk.AudioDataStream):
+        if (
+            audio_data_stream.cancellation_details
+            and audio_data_stream.cancellation_details.reason == speechsdk.CancellationReason.Error
+        ):
+            raise AzureSynthesizerException(
+                f"Azure Synthesizer Error: {audio_data_stream.cancellation_details.error_details}"
+            )
+
+    async def create_speech_uncached(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
         # offset = int(self.OFFSET_MS * (self.synthesizer_config.sampling_rate / 1000))
         offset = 0
-        self.logger.debug(f"Synthesizing message: {message}")
+        logger.debug(f"Synthesizing message: {message}")
 
         # Azure will return no audio for certain strings like "-", "[-", and "!"
         # which causes the `chunk_generator` below to hang. Return an empty
@@ -247,19 +287,19 @@ async def chunk_generator(
             audio_data_stream: speechsdk.AudioDataStream, chunk_transform=lambda x: x
         ):
             audio_buffer = bytes(chunk_size)
-            while not audio_data_stream.can_read_data(chunk_size):
-                await asyncio.sleep(0)
-            filled_size = audio_data_stream.read_data(audio_buffer)
+            filled_size = await asyncio.get_event_loop().run_in_executor(
+                self.thread_pool_executor,
+                lambda: audio_data_stream.read_data(audio_buffer),
+            )
+
+            await self._check_stream_for_errors(audio_data_stream)
             if filled_size != chunk_size:
-                yield SynthesisResult.ChunkResult(
-                    chunk_transform(audio_buffer[offset:]), True
-                )
+                yield SynthesisResult.ChunkResult(chunk_transform(audio_buffer[offset:]), True)
                 return
             else:
-                yield SynthesisResult.ChunkResult(
-                    chunk_transform(audio_buffer[offset:]), False
-                )
+                yield SynthesisResult.ChunkResult(chunk_transform(audio_buffer[offset:]), False)
             while True:
+                audio_buffer = bytes(chunk_size)
                 filled_size = audio_data_stream.read_data(audio_buffer)
                 if filled_size != chunk_size:
                     yield SynthesisResult.ChunkResult(
@@ -275,8 +315,9 @@ async def chunk_generator(
         ssml = (
             message.ssml
             if isinstance(message, SSMLMessage)
-            else self.create_ssml(message.text, bot_sentiment=bot_sentiment)
+            else self.create_ssml(message=message.text, synthesizer_config=self.synthesizer_config)
         )
+        self.total_chars += self.get_total_chars_from_ssml(ssml)
         audio_data_stream = await asyncio.get_event_loop().run_in_executor(
             self.thread_pool_executor, self.synthesize_ssml, ssml
         )
diff --git a/vocode/streaming/synthesizer/bark_synthesizer.py b/vocode/streaming/synthesizer/bark_synthesizer.py
index a8aa85fcf8..e6f9058baf 100644
--- a/vocode/streaming/synthesizer/bark_synthesizer.py
+++ b/vocode/streaming/synthesizer/bark_synthesizer.py
@@ -1,36 +1,27 @@
 import asyncio
-from concurrent.futures import ThreadPoolExecutor
 import io
+from concurrent.futures import ThreadPoolExecutor
+
 import numpy as np
-import logging
-from typing import Optional
+from bark import SAMPLE_RATE, generate_audio, preload_models
+from loguru import logger
 from scipy.io.wavfile import write as write_wav
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    tracer,
-)
-from vocode.streaming.models.synthesizer import BarkSynthesizerConfig, SynthesizerType
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
-from vocode.streaming.models.message import BaseMessage
 
-from opentelemetry.context.context import Context
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import BarkSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
 
 
 class BarkSynthesizer(BaseSynthesizer[BarkSynthesizerConfig]):
     def __init__(
         self,
         synthesizer_config: BarkSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
     ) -> None:
         super().__init__(synthesizer_config)
 
-        from bark import SAMPLE_RATE, generate_audio, preload_models
-
         self.SAMPLE_RATE = SAMPLE_RATE
         self.generate_audio = generate_audio
-        self.logger = logger or logging.getLogger(__name__)
-        self.logger.info("Loading Bark models")
+        logger.info("Loading Bark models")
         preload_models(**self.synthesizer_config.preload_kwargs)
         self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
 
@@ -38,32 +29,26 @@ async def create_speech(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.BARK.value.split('_', 1)[-1]}.create_total",
-        )
-        self.logger.debug("Bark synthesizing audio")
+        logger.debug("Bark synthesizing audio")
         audio_array = await asyncio.get_event_loop().run_in_executor(
             self.thread_pool_executor,
             self.generate_audio,
             message.text,
             **self.synthesizer_config.generate_kwargs,
         )
-        create_speech_span.end()
-        convert_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.BARK.value.split('_', 1)[-1]}.convert",
-        )
         int_audio_arr = (audio_array * np.iinfo(np.int16).max).astype(np.int16)
 
         output_bytes_io = io.BytesIO()
         write_wav(output_bytes_io, self.SAMPLE_RATE, int_audio_arr)
 
         result = self.create_synthesis_result_from_wav(
+            synthesizer_config=self.synthesizer_config,
             file=output_bytes_io,
             message=message,
             chunk_size=chunk_size,
         )
 
-        convert_span.end()
         return result
diff --git a/vocode/streaming/synthesizer/base_synthesizer.py b/vocode/streaming/synthesizer/base_synthesizer.py
index 763b770622..0b07114294 100644
--- a/vocode/streaming/synthesizer/base_synthesizer.py
+++ b/vocode/streaming/synthesizer/base_synthesizer.py
@@ -1,28 +1,42 @@
+import asyncio
+import audioop
+import io
+import math
 import os
+import wave
 from typing import (
+    TYPE_CHECKING,
     Any,
     AsyncGenerator,
-    Generator,
     Callable,
     Generic,
     List,
     Optional,
+    Tuple,
     TypeVar,
+    Union,
 )
-import math
-import io
-import wave
+
 import aiohttp
+from loguru import logger
 from nltk.tokenize import word_tokenize
 from nltk.tokenize.treebank import TreebankWordDetokenizer
-from opentelemetry import trace
+from sentry_sdk.tracing import Span as SentrySpan
 
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
 from vocode.streaming.models.agent import FillerAudioConfig
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.utils import convert_wav, get_chunk_size_per_second
-from vocode.streaming.models.audio_encoding import AudioEncoding
+from vocode.streaming.models.audio import AudioEncoding, SamplingRate
+from vocode.streaming.models.message import BaseMessage, BotBackchannel, SilenceMessage
 from vocode.streaming.models.synthesizer import SynthesizerConfig
+from vocode.streaming.synthesizer.audio_cache import AudioCache
+from vocode.streaming.synthesizer.miniaudio_worker import MiniaudioWorker
+from vocode.streaming.telephony.constants import MULAW_SILENCE_BYTE, PCM_SILENCE_BYTE
+from vocode.streaming.utils import convert_wav, get_chunk_size_per_second
+from vocode.streaming.utils.async_requester import AsyncRequestor
+from vocode.streaming.utils.create_task import asyncio_create_task
+from vocode.streaming.utils.worker import QueueConsumer
+
+if TYPE_CHECKING:
+    from vocode.streaming.streaming_conversation import StreamingConversation
 
 FILLER_PHRASES = [
     BaseMessage(text="Um..."),
@@ -50,10 +64,14 @@ def encode_as_wav(chunk: bytes, synthesizer_config: SynthesizerConfig) -> bytes:
     return output_bytes_io.read()
 
 
-tracer = trace.get_tracer(__name__)
+class SynthesisResult:
+    """Holds audio bytes for an utterance and method to know how much of utterance was spoken
 
+    @param chunk_generator - an async generator that that yields ChunkResult objects, which contain chunks of audio and a flag indicating if it is the last chunk
+    @param get_message_up_to - takes in the number of seconds spoken and returns the message up to that point
+    - *if seconds is None, then it should return the full messages*
+    """
 
-class SynthesisResult:
     class ChunkResult:
         def __init__(self, chunk: bytes, is_last_chunk: bool):
             self.chunk = chunk
@@ -62,10 +80,18 @@ def __init__(self, chunk: bytes, is_last_chunk: bool):
     def __init__(
         self,
         chunk_generator: AsyncGenerator[ChunkResult, None],
-        get_message_up_to: Callable[[int], str],
+        get_message_up_to: Callable[[Optional[float]], str],
+        cached: bool = False,
+        is_first: bool = False,
+        synthesis_total_span: Optional[SentrySpan] = None,
+        ttft_span: Optional[SentrySpan] = None,
     ):
         self.chunk_generator = chunk_generator
         self.get_message_up_to = get_message_up_to
+        self.cached = cached
+        self.is_first = is_first
+        self.synthesis_total_span = synthesis_total_span
+        self.ttft_span = ttft_span
 
 
 class FillerAudio:
@@ -95,9 +121,7 @@ def create_synthesis_result(self) -> SynthesisResult:
         async def chunk_generator(chunk_transform=lambda x: x):
             for i in range(0, len(self.audio_data), chunk_size):
                 if i + chunk_size > len(self.audio_data):
-                    yield SynthesisResult.ChunkResult(
-                        chunk_transform(self.audio_data[i:]), True
-                    )
+                    yield SynthesisResult.ChunkResult(chunk_transform(self.audio_data[i:]), True)
                 else:
                     yield SynthesisResult.ChunkResult(
                         chunk_transform(self.audio_data[i : i + chunk_size]), False
@@ -109,31 +133,131 @@ async def chunk_generator(chunk_transform=lambda x: x):
             )
         else:
             output_generator = chunk_generator()
-        return SynthesisResult(output_generator, lambda seconds: self.message.text)
+        return SynthesisResult(output_generator, lambda _: self.message.text)
+
+
+class CachedAudio:
+    def __init__(
+        self,
+        message: BaseMessage,
+        audio_data: bytes,
+        synthesizer_config: SynthesizerConfig,
+        trailing_silence_seconds: float = 0.0,
+    ):
+        self.message = message
+        self.audio_data = audio_data
+        self.synthesizer_config = synthesizer_config
+        self.trailing_silence_seconds = trailing_silence_seconds
+
+    def create_synthesis_result(self, chunk_size) -> SynthesisResult:
+        async def chunk_generator():
+            if isinstance(self.message, BotBackchannel):
+                yield SynthesisResult.ChunkResult(
+                    self.audio_data, self.trailing_silence_seconds == 0.0
+                )
+            else:
+                for i in range(0, len(self.audio_data), chunk_size):
+                    if i + chunk_size > len(self.audio_data):
+                        yield SynthesisResult.ChunkResult(
+                            self.audio_data[i:], self.trailing_silence_seconds == 0.0
+                        )
+                    else:
+                        yield SynthesisResult.ChunkResult(
+                            self.audio_data[i : i + chunk_size], False
+                        )
+            if self.trailing_silence_seconds > 0:
+                silence_synthesis_result = self.create_silence_synthesis_result(chunk_size)
+                async for chunk_result in silence_synthesis_result.chunk_generator:
+                    yield chunk_result
+
+        if isinstance(self.message, BotBackchannel):
+
+            def get_message_up_to(seconds: Optional[float]):
+                return self.message.text
+
+        else:
+
+            def get_message_up_to(seconds: Optional[float]):
+                return BaseSynthesizer.get_message_cutoff_from_total_response_length(
+                    self.synthesizer_config, self.message, seconds, len(self.audio_data)
+                )
+
+        return SynthesisResult(
+            chunk_generator=chunk_generator(),
+            get_message_up_to=get_message_up_to,
+            cached=True,
+        )
+
+    def create_silence_synthesis_result(self, chunk_size) -> SynthesisResult:
+        async def chunk_generator():
+            size_of_silence = int(
+                self.trailing_silence_seconds * self.synthesizer_config.sampling_rate
+            )
+            silence_byte: bytes
+            if self.synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
+                silence_byte = PCM_SILENCE_BYTE
+                size_of_silence *= 2
+            elif self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+                silence_byte = MULAW_SILENCE_BYTE
+
+            for _ in range(
+                0,
+                size_of_silence,
+                chunk_size,
+            ):
+                yield SynthesisResult.ChunkResult(silence_byte * chunk_size, False)
+            yield SynthesisResult.ChunkResult(silence_byte * chunk_size, True)
+
+        def get_message_up_to(seconds):
+            return ""
+
+        return SynthesisResult(
+            chunk_generator(),
+            get_message_up_to,
+        )
+
+
+class SilenceAudio(CachedAudio):
+    def __init__(
+        self,
+        message: SilenceMessage,
+        synthesizer_config: SynthesizerConfig,
+    ):
+        super().__init__(
+            message,
+            b"",
+            synthesizer_config,
+            trailing_silence_seconds=message.trailing_silence_seconds,
+        )
+
+    def create_synthesis_result(self, chunk_size) -> SynthesisResult:
+        return self.create_silence_synthesis_result(chunk_size)
 
 
 SynthesizerConfigType = TypeVar("SynthesizerConfigType", bound=SynthesizerConfig)
 
 
 class BaseSynthesizer(Generic[SynthesizerConfigType]):
+    streaming_conversation: "StreamingConversation"
+    total_chars: int
+
     def __init__(
         self,
         synthesizer_config: SynthesizerConfigType,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ):
         self.synthesizer_config = synthesizer_config
         if synthesizer_config.audio_encoding == AudioEncoding.MULAW:
             assert (
-                synthesizer_config.sampling_rate == 8000
+                synthesizer_config.sampling_rate == SamplingRate.RATE_8000
             ), "MuLaw encoding only supports 8kHz sampling rate"
         self.filler_audios: List[FillerAudio] = []
-        if aiohttp_session:
-            # the caller is responsible for closing the session
-            self.aiohttp_session = aiohttp_session
-            self.should_close_session_on_tear_down = False
-        else:
-            self.aiohttp_session = aiohttp.ClientSession()
-            self.should_close_session_on_tear_down = True
+        self.async_requestor = AsyncRequestor()
+        self.total_chars: int = 0
+        self.cost_per_char: Optional[float] = None
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: SynthesizerConfigType) -> str:
+        raise NotImplementedError
 
     async def empty_generator(self):
         yield SynthesisResult.ChunkResult(b"", True)
@@ -154,6 +278,14 @@ def get_typing_noise_filler_audio(self) -> FillerAudio:
             seconds_per_chunk=2,
         )
 
+    @classmethod
+    def get_cost(cls, total_chars) -> float:
+        raise NotImplementedError
+
+    @classmethod
+    def compute_total_chars(cls, message: BaseMessage, synthesizer_config: SynthesizerConfigType):
+        return len(message.text)
+
     async def set_filler_audios(self, filler_audio_config: FillerAudioConfig):
         if filler_audio_config.use_phrases:
             self.filler_audios = await self.get_phrase_filler_audios()
@@ -163,63 +295,127 @@ async def set_filler_audios(self, filler_audio_config: FillerAudioConfig):
     async def get_phrase_filler_audios(self) -> List[FillerAudio]:
         return []
 
-    def ready_synthesizer(self):
+    def ready_synthesizer(self, chunk_size: int):
         pass
 
     # given the number of seconds the message was allowed to go until, where did we get in the message?
+    @staticmethod
     def get_message_cutoff_from_total_response_length(
-        self, message: BaseMessage, seconds: int, size_of_output: int
+        synthesizer_config: SynthesizerConfig,
+        message: BaseMessage,
+        seconds: Optional[float],
+        size_of_output: int,
     ) -> str:
-        estimated_output_seconds = (
-            size_of_output / self.synthesizer_config.sampling_rate
-        )
+        estimated_output_seconds = size_of_output / synthesizer_config.sampling_rate
         if not message.text:
             return message.text
 
+        if seconds is None:
+            return message.text
+
         estimated_output_seconds_per_char = estimated_output_seconds / len(message.text)
         return message.text[: int(seconds / estimated_output_seconds_per_char)]
 
+    @staticmethod
     def get_message_cutoff_from_voice_speed(
-        self, message: BaseMessage, seconds: int, words_per_minute: int
+        message: BaseMessage, seconds: Optional[float], words_per_minute: int = 150
     ) -> str:
+
+        if seconds is None:
+            return message.text
+
         words_per_second = words_per_minute / 60
         estimated_words_spoken = math.floor(words_per_second * seconds)
         tokens = word_tokenize(message.text)
         return TreebankWordDetokenizer().detokenize(tokens[:estimated_words_spoken])
 
-    # returns a chunk generator and a thunk that can tell you what part of the message was read given the number of seconds spoken
-    # chunk generator must return a ChunkResult, essentially a tuple (bytes of size chunk_size, flag if it is the last chunk)
-    async def create_speech(
+    async def get_cached_audio(
+        self,
+        message: BaseMessage,
+    ) -> Optional[CachedAudio]:
+        audio_cache = await AudioCache.safe_create()
+        cache_phrase = message.cache_phrase or message.text.strip()
+        audio_data = await audio_cache.get_audio(
+            self.get_voice_identifier(self.synthesizer_config), cache_phrase
+        )
+        if audio_data is None:
+            return None
+        logger.info(f"Got cached audio for {cache_phrase}")
+
+        trailing_silence_seconds = 0.0
+        if isinstance(message, BotBackchannel):
+            trailing_silence_seconds = message.trailing_silence_seconds
+        return CachedAudio(message, audio_data, self.synthesizer_config, trailing_silence_seconds)
+
+    async def create_speech_uncached(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
         raise NotImplementedError
 
+    async def create_speech(
+        self,
+        message: BaseMessage,
+        chunk_size: int,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
+    ) -> SynthesisResult:
+        if isinstance(message, SilenceMessage):
+            return SilenceAudio(
+                message,
+                self.synthesizer_config,
+            ).create_synthesis_result(chunk_size)
+
+        maybe_cached_audio = await self.get_cached_audio(message)
+        if maybe_cached_audio is not None:
+            return maybe_cached_audio.create_synthesis_result(chunk_size)
+        return await self.create_speech_uncached(
+            message,
+            chunk_size,
+            is_first_text_chunk=is_first_text_chunk,
+            is_sole_text_chunk=is_sole_text_chunk,
+        )
+
+    async def chunk_result_generator_from_queue(self, chunk_queue: asyncio.Queue[Optional[bytes]]):
+        while True:
+            try:
+                chunk = await chunk_queue.get()
+                if chunk is None:
+                    break
+                yield SynthesisResult.ChunkResult(
+                    chunk=chunk,
+                    is_last_chunk=False,
+                )
+            except asyncio.CancelledError:
+                break
+
     # @param file - a file-like object in wav format
+    @staticmethod
     def create_synthesis_result_from_wav(
-        self, file: Any, message: BaseMessage, chunk_size: int
+        synthesizer_config: SynthesizerConfig,
+        file: Any,
+        message: BaseMessage,
+        chunk_size: int,
     ) -> SynthesisResult:
         output_bytes = convert_wav(
             file,
-            output_sample_rate=self.synthesizer_config.sampling_rate,
-            output_encoding=self.synthesizer_config.audio_encoding,
+            output_sample_rate=synthesizer_config.sampling_rate,
+            output_encoding=synthesizer_config.audio_encoding,
         )
 
-        if self.synthesizer_config.should_encode_as_wav:
-            chunk_transform = lambda chunk: encode_as_wav(
-                chunk, self.synthesizer_config
-            )
+        if synthesizer_config.should_encode_as_wav:
+            chunk_transform = lambda chunk: encode_as_wav(chunk, synthesizer_config)  # noqa: E731
+
         else:
-            chunk_transform = lambda chunk: chunk
+            chunk_transform = lambda chunk: chunk  # noqa: E731
 
         async def chunk_generator(output_bytes):
             for i in range(0, len(output_bytes), chunk_size):
                 if i + chunk_size > len(output_bytes):
-                    yield SynthesisResult.ChunkResult(
-                        chunk_transform(output_bytes[i:]), True
-                    )
+                    yield SynthesisResult.ChunkResult(chunk_transform(output_bytes[i:]), True)
                 else:
                     yield SynthesisResult.ChunkResult(
                         chunk_transform(output_bytes[i : i + chunk_size]), False
@@ -227,11 +423,69 @@ async def chunk_generator(output_bytes):
 
         return SynthesisResult(
             chunk_generator(output_bytes),
-            lambda seconds: self.get_message_cutoff_from_total_response_length(
-                message, seconds, len(output_bytes)
+            lambda seconds: BaseSynthesizer.get_message_cutoff_from_total_response_length(
+                synthesizer_config, message, seconds, len(output_bytes)
             ),
         )
 
+    async def experimental_mp3_streaming_output_generator(
+        self,
+        response: aiohttp.ClientResponse,
+        chunk_size: int,
+    ) -> AsyncGenerator[SynthesisResult.ChunkResult, None]:
+        miniaudio_worker_consumer: QueueConsumer = QueueConsumer()
+        miniaudio_worker = MiniaudioWorker(
+            self.synthesizer_config,
+            chunk_size,
+        )
+        miniaudio_worker.consumer = miniaudio_worker_consumer
+        miniaudio_worker.start()
+        stream_reader = response.content
+
+        # Create a task to send the mp3 chunks to the MiniaudioWorker's input queue in a separate loop
+        async def send_chunks():
+            async for chunk in stream_reader.iter_any():
+                miniaudio_worker.consume_nonblocking(chunk)
+            miniaudio_worker.consume_nonblocking(None)  # sentinel
+
+        try:
+            asyncio_create_task(send_chunks())
+
+            # Await the output queue of the MiniaudioWorker and yield the wav chunks in another loop
+            while True:
+                # Get the wav chunk and the flag from the output queue of the MiniaudioWorker
+                wav_chunk, is_last = await miniaudio_worker_consumer.input_queue.get()
+                if self.synthesizer_config.should_encode_as_wav:
+                    wav_chunk = encode_as_wav(wav_chunk, self.synthesizer_config)
+
+                if self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+                    wav_chunk = audioop.lin2ulaw(wav_chunk, 2)
+
+                yield SynthesisResult.ChunkResult(wav_chunk, is_last)
+                # If this is the last chunk, break the loop
+                if is_last:
+                    break
+        except asyncio.CancelledError:
+            pass
+        finally:
+            await miniaudio_worker.terminate()
+
+    def _resample_chunk(
+        self,
+        chunk: bytes,
+        current_sample_rate: int,
+        target_sample_rate: int,
+    ) -> bytes:
+        resampled_chunk, _ = audioop.ratecv(
+            chunk,
+            2,
+            1,
+            current_sample_rate,
+            target_sample_rate,
+            None,
+        )
+
+        return resampled_chunk
+
     async def tear_down(self):
-        if self.should_close_session_on_tear_down:
-            await self.aiohttp_session.close()
+        pass
diff --git a/vocode/streaming/synthesizer/cartesia_synthesizer.py b/vocode/streaming/synthesizer/cartesia_synthesizer.py
new file mode 100644
index 0000000000..e9387253ef
--- /dev/null
+++ b/vocode/streaming/synthesizer/cartesia_synthesizer.py
@@ -0,0 +1,243 @@
+import asyncio
+import hashlib
+from typing import List, Tuple
+
+from loguru import logger
+
+from vocode import getenv
+from vocode.streaming.models.audio import AudioEncoding, SamplingRate
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import CartesiaSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
+
+
+class CartesiaSynthesizer(BaseSynthesizer[CartesiaSynthesizerConfig]):
+    def __init__(
+        self,
+        synthesizer_config: CartesiaSynthesizerConfig,
+    ):
+        super().__init__(synthesizer_config)
+
+        # Lazy import the cartesia module
+        try:
+            from cartesia import AsyncCartesia
+        except ImportError as e:
+            raise ImportError("Missing required dependancies for CartesiaSynthesizer") from e
+
+        self.api_key = synthesizer_config.api_key or getenv("CARTESIA_API_KEY")
+        if not self.api_key:
+            raise ValueError("Missing Cartesia API key")
+
+        self.cartesia_tts = AsyncCartesia
+
+        self._experimental_voice_controls = None
+        if synthesizer_config.experimental_voice_controls:
+            self._experimental_voice_controls = (
+                synthesizer_config.experimental_voice_controls.dict()
+            )
+
+        if synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
+            match synthesizer_config.sampling_rate:
+                case SamplingRate.RATE_48000:
+                    self.output_format = {
+                        "sample_rate": 48000,
+                        "encoding": "pcm_s16le",
+                        "container": "raw",
+                    }
+                case SamplingRate.RATE_44100:
+                    self.output_format = {
+                        "sample_rate": 44100,
+                        "encoding": "pcm_s16le",
+                        "container": "raw",
+                    }
+                case SamplingRate.RATE_22050:
+                    self.output_format = {
+                        "sample_rate": 22050,
+                        "encoding": "pcm_s16le",
+                        "container": "raw",
+                    }
+                case SamplingRate.RATE_16000:
+                    self.output_format = {
+                        "sample_rate": 16000,
+                        "encoding": "pcm_s16le",
+                        "container": "raw",
+                    }
+                case SamplingRate.RATE_8000:
+                    self.output_format = {
+                        "sample_rate": 8000,
+                        "encoding": "pcm_s16le",
+                        "container": "raw",
+                    }
+                case _:
+                    raise ValueError(
+                        f"Unsupported PCM sampling rate {synthesizer_config.sampling_rate}"
+                    )
+        elif synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+            self.channel_width = 2
+            self.output_format = {
+                "sample_rate": 8000,
+                "encoding": "pcm_mulaw",
+                "container": "raw",
+            }
+        else:
+            raise ValueError(f"Unsupported audio encoding {synthesizer_config.audio_encoding}")
+
+        if not isinstance(self.output_format["sample_rate"], int):
+            raise ValueError("Invalid type for sample_rate")
+        self.sampling_rate = self.output_format["sample_rate"]
+        self.num_channels = 1
+        self.model_id = synthesizer_config.model_id
+        self.voice_id = synthesizer_config.voice_id
+        self.client = self.cartesia_tts(api_key=self.api_key)
+        self.ws = None
+        self.ctx = None
+        self.ctx_message = BaseMessage(text="")
+        self.ctx_timestamps: List[Tuple[str, float, float]] = []
+        self.no_more_inputs_task = None
+        self.no_more_inputs_lock = asyncio.Lock()
+
+    async def initialize_ws(self):
+        if self.ws is None:
+            self.ws = await self.client.tts.websocket()
+
+    async def initialize_ctx(self, is_first_text_chunk: bool):
+        if self.ctx is None or self.ctx.is_closed():
+            self.ctx_message = BaseMessage(text="")
+            self.ctx_timestamps = []
+            if self.ws:
+                self.ctx = self.ws.context()
+        else:
+            if is_first_text_chunk:
+                self.ctx_message = BaseMessage(text="")
+                self.ctx_timestamps = []
+                if self.no_more_inputs_task:
+                    self.no_more_inputs_task.cancel()
+                await self.ctx.no_more_inputs()
+                self.ctx = self.ws.context()
+
+    # This workaround is necessary to prevent the last chunk getting delayed.
+    # In the future, `create_speech_uncached` should be modified to handle this properly by adding a flag to the last chunk.
+    def refresh_no_more_inputs_task(self):
+        if self.no_more_inputs_task:
+            self.no_more_inputs_task.cancel()
+
+        async def delayed_no_more_inputs():
+            await asyncio.sleep(1)
+            async with self.no_more_inputs_lock:
+                if self.ctx:
+                    await self.ctx.no_more_inputs()
+
+        self.no_more_inputs_task = asyncio.create_task(delayed_no_more_inputs())
+
+    async def create_speech_uncached(
+        self,
+        message: BaseMessage,
+        chunk_size: int,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
+    ) -> SynthesisResult:
+        await self.initialize_ws()
+        await self.initialize_ctx(is_first_text_chunk)
+
+        transcript = message.text
+
+        if not message.text.endswith(" "):
+            transcript = message.text + " "
+
+        if self.ctx is not None:
+            await self.ctx.send(
+                model_id=self.model_id,
+                transcript=transcript,
+                voice_id=self.voice_id,
+                continue_=not is_sole_text_chunk,
+                output_format=self.output_format,
+                add_timestamps=True,
+                _experimental_voice_controls=self._experimental_voice_controls,
+            )
+            if not is_sole_text_chunk:
+                try:
+                    self.refresh_no_more_inputs_task()
+                except Exception as e:
+                    logger.info(f"Caught error while sending no more inputs: {e}")
+
+        async def chunk_generator(context):
+            buffer = bytearray()
+            if context.is_closed():
+                return
+            try:
+                async for event in context.receive():
+                    audio = event.get("audio")
+                    word_timestamps = event.get("word_timestamps")
+                    if word_timestamps:
+                        words = word_timestamps["words"]
+                        start_times = word_timestamps["start"]
+                        end_times = word_timestamps["end"]
+                        for word, start, end in zip(words, start_times, end_times):
+                            self.ctx_timestamps.append((word, start, end))
+                    if audio:
+                        buffer.extend(audio)
+                        while len(buffer) >= chunk_size:
+                            yield SynthesisResult.ChunkResult(
+                                chunk=buffer[:chunk_size], is_last_chunk=False
+                            )
+                            buffer = buffer[chunk_size:]
+            except Exception as e:
+                logger.info(
+                    f"Caught error while receiving audio chunks from CartesiaSynthesizer: {e}"
+                )
+                self.ctx._close()
+            if buffer:
+                # pad the leftover buffer with silence
+                if len(buffer) < chunk_size:
+                    padding_size = chunk_size - len(buffer)
+                    if self.output_format["encoding"] == "pcm_mulaw":
+                        buffer.extend(b"\x7f" * padding_size)  # 127 is silence in mu-law
+                    elif self.output_format["encoding"] == "pcm_s16le":
+                        buffer.extend(b"\x00\x00" * padding_size)  # 0 is silence in s16le
+                yield SynthesisResult.ChunkResult(chunk=buffer, is_last_chunk=True)
+
+        self.ctx_message.text += transcript
+
+        def get_message_cutoff_ctx(message, seconds, words_per_minute=150):
+            if seconds:
+                closest_index = 0
+                if len(self.ctx_timestamps) > 0:
+                    for index, word_timestamp in enumerate(self.ctx_timestamps):
+                        _word, start, end = word_timestamp
+                        closest_index = index
+                        if end >= seconds:
+                            break
+                if closest_index:
+                    # Check if they're less than 2 seconds apart, fall back to words per minute otherwise
+                    if self.ctx_timestamps[closest_index][2] - seconds < 2:
+                        return " ".join(
+                            [word for word, *_ in self.ctx_timestamps[: closest_index + 1]]
+                        )
+            return self.get_message_cutoff_from_voice_speed(message, seconds, words_per_minute)
+
+        return SynthesisResult(
+            chunk_generator=chunk_generator(self.ctx),
+            get_message_up_to=lambda seconds: get_message_cutoff_ctx(self.ctx_message, seconds),
+        )
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: CartesiaSynthesizerConfig):
+        hashed_api_key = hashlib.sha256(f"{synthesizer_config.api_key}".encode("utf-8")).hexdigest()
+        return ":".join(
+            (
+                "cartesia",
+                hashed_api_key,
+                str(synthesizer_config.voice_id),
+                str(synthesizer_config.model_id),
+                synthesizer_config.audio_encoding,
+            )
+        )
+
+    async def tear_down(self):
+        await super().tear_down()
+        if self.no_more_inputs_task:
+            self.no_more_inputs_task.cancel()
+        if self.ctx:
+            self.ctx._close()
+        await self.ws.close()
+        await self.client.close()
diff --git a/vocode/streaming/synthesizer/coqui_synthesizer.py b/vocode/streaming/synthesizer/coqui_synthesizer.py
index d261ae2eb0..2feedb10d7 100644
--- a/vocode/streaming/synthesizer/coqui_synthesizer.py
+++ b/vocode/streaming/synthesizer/coqui_synthesizer.py
@@ -1,20 +1,15 @@
 import io
-from typing import Optional, Tuple, Dict
+from typing import Dict, Tuple
+
 import aiohttp
-from pydub import AudioSegment
 
 from vocode import getenv
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    tracer,
-)
-from vocode.streaming.models.synthesizer import CoquiSynthesizerConfig, SynthesizerType
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
 from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import CoquiSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
+from vocode.streaming.utils.async_requester import AsyncRequestor
 
-from opentelemetry.context.context import Context
-
+raise DeprecationWarning("This Synthesizer is deprecated and will be removed in the future.")
 
 COQUI_BASE_URL = "https://app.coqui.ai/api/v2"
 
@@ -60,14 +55,12 @@ async def create_speech(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
         url, headers, body = self.get_request(message.text)
 
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.COQUI.value.split('_', 1)[-1]}.create_total"
-        )
-        async with self.aiohttp_session.request(
+        async with AsyncRequestor().get_session().request(
             "POST",
             url,
             json=body,
@@ -75,20 +68,16 @@ async def create_speech(
             timeout=aiohttp.ClientTimeout(total=15),
         ) as response:
             sample = await response.json()
-            async with self.aiohttp_session.request(
+            async with AsyncRequestor().get_session().request(
                 "GET",
                 sample["audio_url"],
             ) as response:
                 read_response = await response.read()
-                create_speech_span.end()
-                convert_span = tracer.start_span(
-                    f"synthesizer.{SynthesizerType.COQUI.value.split('_', 1)[-1]}.convert",
-                )
 
                 result = self.create_synthesis_result_from_wav(
+                    synthesizer_config=self.synthesizer_config,
                     file=io.BytesIO(read_response),
                     message=message,
                     chunk_size=chunk_size,
                 )
-                convert_span.end()
                 return result
diff --git a/vocode/streaming/synthesizer/coqui_tts_synthesizer.py b/vocode/streaming/synthesizer/coqui_tts_synthesizer.py
index d01c2df903..ad7d6b7de6 100644
--- a/vocode/streaming/synthesizer/coqui_tts_synthesizer.py
+++ b/vocode/streaming/synthesizer/coqui_tts_synthesizer.py
@@ -1,39 +1,22 @@
 import asyncio
-from concurrent.futures import ThreadPoolExecutor
-import logging
-from typing import Optional
-import aiohttp
-from pydub import AudioSegment
-import numpy as np
 import io
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.models.message import BaseMessage
-
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    tracer,
-)
+from concurrent.futures import ThreadPoolExecutor
 
-from vocode.streaming.models.synthesizer import (
-    CoquiTTSSynthesizerConfig,
-    SynthesizerType,
-)
+import numpy as np
+from pydub import AudioSegment
+from TTS.api import TTS
 
-from opentelemetry.context.context import Context
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import CoquiTTSSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
 
 
 class CoquiTTSSynthesizer(BaseSynthesizer[CoquiTTSSynthesizerConfig]):
     def __init__(
         self,
         synthesizer_config: CoquiTTSSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ):
-        super().__init__(synthesizer_config, aiohttp_session)
-
-        from TTS.api import TTS
+        super().__init__(synthesizer_config)
 
         self.tts = TTS(**synthesizer_config.tts_kwargs)
         self.speaker = synthesizer_config.speaker
@@ -44,11 +27,9 @@ async def create_speech(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.COQUI_TTS.value.split('_', 1)[-1]}.create_total",
-        )
         tts = self.tts
         audio_data = await asyncio.get_event_loop().run_in_executor(
             self.thread_pool_executor,
@@ -57,10 +38,6 @@ async def create_speech(
             self.speaker,
             self.language,
         )
-        create_speech_span.end()
-        convert_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.COQUI_TTS.value.split('_', 1)[-1]}.convert",
-        )
         audio_data = np.array(audio_data)
 
         # Convert the NumPy array to bytes
@@ -77,8 +54,10 @@ async def create_speech(
         audio_segment.export(output_bytes_io, format="wav")  # type: ignore
 
         result = self.create_synthesis_result_from_wav(
-            file=output_bytes_io, message=message, chunk_size=chunk_size
+            synthesizer_config=self.synthesizer_config,
+            file=output_bytes_io,
+            message=message,
+            chunk_size=chunk_size,
         )
 
-        convert_span.end()
         return result
diff --git a/vocode/streaming/synthesizer/default_factory.py b/vocode/streaming/synthesizer/default_factory.py
new file mode 100644
index 0000000000..f7ba75685b
--- /dev/null
+++ b/vocode/streaming/synthesizer/default_factory.py
@@ -0,0 +1,48 @@
+from typing import Type
+
+from vocode.streaming.models.synthesizer import (
+    AzureSynthesizerConfig,
+    CartesiaSynthesizerConfig,
+    ElevenLabsSynthesizerConfig,
+    PlayHtSynthesizerConfig,
+    RimeSynthesizerConfig,
+    StreamElementsSynthesizerConfig,
+    SynthesizerConfig,
+)
+from vocode.streaming.synthesizer.abstract_factory import AbstractSynthesizerFactory
+from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer
+from vocode.streaming.synthesizer.cartesia_synthesizer import CartesiaSynthesizer
+from vocode.streaming.synthesizer.eleven_labs_synthesizer import ElevenLabsSynthesizer
+from vocode.streaming.synthesizer.eleven_labs_websocket_synthesizer import ElevenLabsWSSynthesizer
+from vocode.streaming.synthesizer.play_ht_synthesizer import PlayHtSynthesizer
+from vocode.streaming.synthesizer.play_ht_synthesizer_v2 import PlayHtSynthesizerV2
+from vocode.streaming.synthesizer.rime_synthesizer import RimeSynthesizer
+from vocode.streaming.synthesizer.stream_elements_synthesizer import StreamElementsSynthesizer
+
+
+class DefaultSynthesizerFactory(AbstractSynthesizerFactory):
+    def create_synthesizer(
+        self,
+        synthesizer_config: SynthesizerConfig,
+    ):
+        if isinstance(synthesizer_config, AzureSynthesizerConfig):
+            return AzureSynthesizer(synthesizer_config)
+        elif isinstance(synthesizer_config, CartesiaSynthesizerConfig):
+            return CartesiaSynthesizer(synthesizer_config)
+        elif isinstance(synthesizer_config, ElevenLabsSynthesizerConfig):
+            eleven_labs_synthesizer_class_type: Type[BaseSynthesizer] = ElevenLabsSynthesizer
+            if synthesizer_config.experimental_websocket:
+                eleven_labs_synthesizer_class_type = ElevenLabsWSSynthesizer
+            return eleven_labs_synthesizer_class_type(synthesizer_config)
+        elif isinstance(synthesizer_config, PlayHtSynthesizerConfig):
+            if synthesizer_config.version == "2":
+                return PlayHtSynthesizerV2(synthesizer_config)
+            else:
+                return PlayHtSynthesizer(synthesizer_config)
+        elif isinstance(synthesizer_config, RimeSynthesizerConfig):
+            return RimeSynthesizer(synthesizer_config)
+        elif isinstance(synthesizer_config, StreamElementsSynthesizerConfig):
+            return StreamElementsSynthesizer(synthesizer_config)
+        else:
+            raise Exception("Invalid synthesizer config")
diff --git a/vocode/streaming/synthesizer/eleven_labs_synthesizer.py b/vocode/streaming/synthesizer/eleven_labs_synthesizer.py
index 4b693f5419..8beb31bf44 100644
--- a/vocode/streaming/synthesizer/eleven_labs_synthesizer.py
+++ b/vocode/streaming/synthesizer/eleven_labs_synthesizer.py
@@ -1,119 +1,97 @@
 import asyncio
-import logging
-import time
-from typing import Any, AsyncGenerator, Optional, Tuple, Union
-import wave
-import aiohttp
-from opentelemetry.trace import Span
-
-from vocode import getenv
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    encode_as_wav,
-    tracer,
-)
-from vocode.streaming.models.synthesizer import (
-    ElevenLabsSynthesizerConfig,
-    SynthesizerType,
-)
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.utils.mp3_helper import decode_mp3
-from vocode.streaming.synthesizer.miniaudio_worker import MiniaudioWorker
+import hashlib
+from typing import Optional
+
+from elevenlabs import Voice, VoiceSettings
+from elevenlabs.client import AsyncElevenLabs
+from loguru import logger
 
+from vocode.streaming.models.audio import AudioEncoding, SamplingRate
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import ElevenLabsSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
+from vocode.streaming.utils.create_task import asyncio_create_task
 
-ADAM_VOICE_ID = "pNInz6obpgDQGcFmaJgB"
 ELEVEN_LABS_BASE_URL = "https://api.elevenlabs.io/v1/"
+STREAMED_CHUNK_SIZE = 16000 * 2 // 4  # 1/8 of a second of 16kHz audio with 16-bit samples
+
+
+class ElevenlabsException(Exception):
+    pass
 
 
 class ElevenLabsSynthesizer(BaseSynthesizer[ElevenLabsSynthesizerConfig]):
     def __init__(
         self,
         synthesizer_config: ElevenLabsSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ):
-        super().__init__(synthesizer_config, aiohttp_session)
+        super().__init__(synthesizer_config)
 
-        import elevenlabs
+        assert synthesizer_config.api_key is not None, "API key must be set"
+        assert synthesizer_config.voice_id is not None, "Voice ID must be set"
+        self.api_key = synthesizer_config.api_key
 
-        self.elevenlabs = elevenlabs
+        self.elevenlabs_client = AsyncElevenLabs(
+            api_key=self.api_key,
+        )
 
-        self.api_key = synthesizer_config.api_key or getenv("ELEVEN_LABS_API_KEY")
-        self.voice_id = synthesizer_config.voice_id or ADAM_VOICE_ID
+        self.voice_id = synthesizer_config.voice_id
         self.stability = synthesizer_config.stability
         self.similarity_boost = synthesizer_config.similarity_boost
         self.model_id = synthesizer_config.model_id
         self.optimize_streaming_latency = synthesizer_config.optimize_streaming_latency
         self.words_per_minute = 150
-        self.experimental_streaming = synthesizer_config.experimental_streaming
-
-    async def experimental_streaming_output_generator(
-        self,
-        response: aiohttp.ClientResponse,
-        chunk_size: int,
-        create_speech_span: Optional[Span],
-    ) -> AsyncGenerator[SynthesisResult.ChunkResult, None]:
-        miniaudio_worker_input_queue: asyncio.Queue[
-            Union[bytes, None]
-        ] = asyncio.Queue()
-        miniaudio_worker_output_queue: asyncio.Queue[
-            Tuple[bytes, bool]
-        ] = asyncio.Queue()
-        miniaudio_worker = MiniaudioWorker(
-            self.synthesizer_config,
-            chunk_size,
-            miniaudio_worker_input_queue,
-            miniaudio_worker_output_queue,
-        )
-        miniaudio_worker.start()
-        stream_reader = response.content
-
-        # Create a task to send the mp3 chunks to the MiniaudioWorker's input queue in a separate loop
-        async def send_chunks():
-            async for chunk in stream_reader.iter_any():
-                miniaudio_worker.consume_nonblocking(chunk)
-            miniaudio_worker.consume_nonblocking(None)  # sentinel
-
-        try:
-            asyncio.create_task(send_chunks())
-
-            # Await the output queue of the MiniaudioWorker and yield the wav chunks in another loop
-            while True:
-                # Get the wav chunk and the flag from the output queue of the MiniaudioWorker
-                wav_chunk, is_last = await miniaudio_worker.output_queue.get()
-                if self.synthesizer_config.should_encode_as_wav:
-                    wav_chunk = encode_as_wav(wav_chunk, self.synthesizer_config)
-
-                yield SynthesisResult.ChunkResult(wav_chunk, is_last)
-                # If this is the last chunk, break the loop
-                if is_last and create_speech_span is not None:
-                    create_speech_span.end()
-                    break
-        except asyncio.CancelledError:
-            pass
-        finally:
-            miniaudio_worker.terminate()
+        self.upsample = None
+        self.sample_rate = self.synthesizer_config.sampling_rate
+
+        if self.synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
+            match self.synthesizer_config.sampling_rate:
+                case SamplingRate.RATE_16000:
+                    self.output_format = "pcm_16000"
+                case SamplingRate.RATE_22050:
+                    self.output_format = "pcm_22050"
+                case SamplingRate.RATE_24000:
+                    self.output_format = "pcm_24000"
+                case SamplingRate.RATE_44100:
+                    self.output_format = "pcm_44100"
+                case SamplingRate.RATE_48000:
+                    self.output_format = "pcm_44100"
+                    self.upsample = SamplingRate.RATE_48000.value
+                    self.sample_rate = SamplingRate.RATE_44100.value
+                case _:
+                    raise ValueError(
+                        f"Unsupported sampling rate: {self.synthesizer_config.sampling_rate}. Elevenlabs only supports 16000, 22050, 24000, and 44100 Hz."
+                    )
+        elif self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+            self.output_format = "ulaw_8000"
+        else:
+            raise ValueError(
+                f"Unsupported audio encoding: {self.synthesizer_config.audio_encoding}"
+            )
 
-    async def create_speech(
+    async def create_speech_uncached(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
-        voice = self.elevenlabs.Voice(voice_id=self.voice_id)
+        self.total_chars += len(message.text)
         if self.stability is not None and self.similarity_boost is not None:
-            voice.settings = self.elevenlabs.VoiceSettings(
-                stability=self.stability, similarity_boost=self.similarity_boost
+            voice = Voice(
+                voice_id=self.voice_id,
+                settings=VoiceSettings(
+                    stability=self.stability, similarity_boost=self.similarity_boost
+                ),
             )
-        url = ELEVEN_LABS_BASE_URL + f"text-to-speech/{self.voice_id}"
-
-        if self.experimental_streaming:
-            url += "/stream"
-
+        else:
+            voice = Voice(voice_id=self.voice_id)
+        url = (
+            ELEVEN_LABS_BASE_URL
+            + f"text-to-speech/{self.voice_id}/stream?output_format={self.output_format}"
+        )
         if self.optimize_streaming_latency:
-            url += f"?optimize_streaming_latency={self.optimize_streaming_latency}"
+            url += f"&optimize_streaming_latency={self.optimize_streaming_latency}"
         headers = {"xi-api-key": self.api_key}
         body = {
             "text": message.text,
@@ -122,43 +100,66 @@ async def create_speech(
         if self.model_id:
             body["model_id"] = self.model_id
 
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.ELEVEN_LABS.value.split('_', 1)[-1]}.create_total",
+        chunk_queue: asyncio.Queue[Optional[bytes]] = asyncio.Queue()
+        asyncio_create_task(
+            self.get_chunks(url, headers, body, chunk_size, chunk_queue),
         )
 
-        session = self.aiohttp_session
-
-        response = await session.request(
-            "POST",
-            url,
-            json=body,
-            headers=headers,
-            timeout=aiohttp.ClientTimeout(total=15),
+        return SynthesisResult(
+            self.chunk_result_generator_from_queue(chunk_queue),
+            lambda seconds: self.get_message_cutoff_from_voice_speed(message, seconds, 150),
         )
-        if not response.ok:
-            raise Exception(f"ElevenLabs API returned {response.status} status code")
-        if self.experimental_streaming:
-            return SynthesisResult(
-                self.experimental_streaming_output_generator(
-                    response, chunk_size, create_speech_span
-                ),  # should be wav
-                lambda seconds: self.get_message_cutoff_from_voice_speed(
-                    message, seconds, self.words_per_minute
-                ),
-            )
-        else:
-            audio_data = await response.read()
-            create_speech_span.end()
-            convert_span = tracer.start_span(
-                f"synthesizer.{SynthesizerType.ELEVEN_LABS.value.split('_', 1)[-1]}.convert",
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: ElevenLabsSynthesizerConfig):
+        hashed_api_key = hashlib.sha256(f"{synthesizer_config.api_key}".encode("utf-8")).hexdigest()
+        return ":".join(
+            (
+                "eleven_labs",
+                hashed_api_key,
+                str(synthesizer_config.voice_id),
+                str(synthesizer_config.model_id),
+                str(synthesizer_config.stability),
+                str(synthesizer_config.similarity_boost),
+                str(synthesizer_config.optimize_streaming_latency),
+                synthesizer_config.audio_encoding,
             )
-            output_bytes_io = decode_mp3(audio_data)
+        )
 
-            result = self.create_synthesis_result_from_wav(
-                file=output_bytes_io,
-                message=message,
-                chunk_size=chunk_size,
+    async def get_chunks(
+        self,
+        url: str,
+        headers: dict,
+        body: dict,
+        chunk_size: int,
+        chunk_queue: asyncio.Queue[Optional[bytes]],
+    ):
+        try:
+            async_client = self.async_requestor.get_client()
+            stream = await async_client.send(
+                async_client.build_request(
+                    "POST",
+                    url,
+                    headers=headers,
+                    json=body,
+                ),
+                stream=True,
             )
-            convert_span.end()
 
-            return result
+            if not stream.is_success:
+                error = await stream.aread()
+                raise ElevenlabsException(
+                    f"ElevenLabs API returned {stream.status_code} status code and the following details: {error.decode('utf-8')}"
+                )
+            async for chunk in stream.aiter_bytes(chunk_size):
+                if self.upsample:
+                    chunk = self._resample_chunk(
+                        chunk,
+                        self.sample_rate,
+                        self.upsample,
+                    )
+                chunk_queue.put_nowait(chunk)
+        except asyncio.CancelledError:
+            pass
+        finally:
+            chunk_queue.put_nowait(None)  # treated as sentinel
diff --git a/vocode/streaming/synthesizer/eleven_labs_websocket_synthesizer.py b/vocode/streaming/synthesizer/eleven_labs_websocket_synthesizer.py
new file mode 100644
index 0000000000..1d10a0463e
--- /dev/null
+++ b/vocode/streaming/synthesizer/eleven_labs_websocket_synthesizer.py
@@ -0,0 +1,356 @@
+import asyncio
+import audioop
+import base64
+from typing import AsyncGenerator, List, Optional, Tuple
+
+import numpy as np
+import websockets
+from loguru import logger
+from pydantic import BaseModel, conint
+
+from vocode.streaming.models.audio import AudioEncoding, SamplingRate
+from vocode.streaming.models.message import BaseMessage, BotBackchannel, LLMToken
+from vocode.streaming.models.synthesizer import ElevenLabsSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
+from vocode.streaming.synthesizer.eleven_labs_synthesizer import ElevenLabsSynthesizer
+from vocode.streaming.synthesizer.input_streaming_synthesizer import InputStreamingSynthesizer
+
+NONCE = "071b5f21-3b24-4427-817e-62508007ae60"
+ELEVEN_LABS_BASE_URL = "wss://api.elevenlabs.io/v1/"
+
+
+# Based on https://github.com/elevenlabs/elevenlabs-python/blob/main/src/elevenlabs/tts.py
+async def string_chunker(string: str) -> AsyncGenerator[str, None]:
+    splitters = (".", ",", "?", "!", ";", ":", "—", "-", "(", ")", "[", "]", "}", " ")
+    buffer = ""
+    for text in string:
+        if buffer.endswith(splitters):
+            yield buffer if buffer.endswith(" ") else buffer + " "
+            buffer = text
+        elif text.startswith(splitters):
+            output = buffer + text[0]
+            yield output if output.endswith(" ") else output + " "
+            buffer = text[1:]
+        else:
+            buffer += text
+    if buffer != "":
+        yield buffer + " "
+
+
+class ElevenLabsWebsocketVoiceSettings(BaseModel):
+    stability: float
+    similarity_boost: float
+
+
+class ElevenLabsWebsocketGenerationConfig(BaseModel):
+    chunk_length_schedule: list[conint(ge=50, le=500)]  # type: ignore
+    # TODO: Replace above with below for pydantic 2.X
+    # chunk_length_schedule: list[Annotated[int, Field(strict=True, ge=50, le=500)]]
+
+
+class ElevenLabsWebsocketMessage(BaseModel):
+    text: str
+    try_trigger_generation: bool = True
+    flush: bool = False
+
+
+class ElevenLabsWebsocketFirstMessage(ElevenLabsWebsocketMessage, BaseModel):
+    voice_settings: ElevenLabsWebsocketVoiceSettings | None = None
+    generation_config: ElevenLabsWebsocketGenerationConfig | None = None
+    xi_api_key: str
+
+
+class ElevenLabsWebsocketResponseAlignment(BaseModel):
+    chars: list[str]
+    charStartTimesMs: list[int]
+    charDurationsMs: list[int]
+
+
+class ElevenLabsWebsocketResponse(BaseModel):
+    audio: Optional[str] = None
+    isFinal: Optional[bool] = None
+    normalizedAlignment: Optional[ElevenLabsWebsocketResponseAlignment] = None
+    alignment: Optional[ElevenLabsWebsocketResponseAlignment] = None
+
+    def __str__(self):
+        return f"ElevenLabsWebsocketResponse(has_audio={self.audio is not None}, isFinal={self.isFinal}, alignment={self.alignment})"
+
+
+class ElevenLabsWSSynthesizer(
+    BaseSynthesizer[ElevenLabsSynthesizerConfig], InputStreamingSynthesizer
+):
+    def __init__(
+        self,
+        synthesizer_config: ElevenLabsSynthesizerConfig,
+    ):
+        super().__init__(
+            synthesizer_config,
+        )
+
+        assert synthesizer_config.api_key is not None, "API key must be set"
+        assert synthesizer_config.voice_id is not None, "Voice ID must be set"
+        self.api_key = synthesizer_config.api_key
+        self.voice_id = synthesizer_config.voice_id
+        self.stability = synthesizer_config.stability
+        self.similarity_boost = synthesizer_config.similarity_boost
+        self.model_id = synthesizer_config.model_id
+        self.optimize_streaming_latency = synthesizer_config.optimize_streaming_latency
+        self.words_per_minute = 150
+
+        self.text_chunk_queue: asyncio.Queue[Optional[BotBackchannel | LLMToken]] = asyncio.Queue()
+        self.voice_packet_queue: asyncio.Queue[Optional[bytes]] = asyncio.Queue()
+        self.current_turn_utterances_by_chunk: List[Tuple[str, float]] = []
+        self.sample_width = 2 if synthesizer_config.audio_encoding == AudioEncoding.LINEAR16 else 1
+
+        self.websocket_listener: asyncio.Task | None = None
+        self.websocket_tasks: dict[str, asyncio.Task | None] = {
+            "listener": None,
+            "writer": None,
+        }
+        self.end_of_turn = False
+
+        self.upsample = None
+        self.sample_rate = self.synthesizer_config.sampling_rate
+
+        # While this looks useless, we need to assign the response of `asyncio.gather`
+        # to *something* or we risk garbage collection of the running coroutines spawned
+        # by `asyncio.gather`.
+        self.websocket_functions: list[None] | None = None
+
+        if self.synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
+            match self.synthesizer_config.sampling_rate:
+                case SamplingRate.RATE_16000:
+                    self.output_format = "pcm_16000"
+                case SamplingRate.RATE_22050:
+                    self.output_format = "pcm_22050"
+                case SamplingRate.RATE_24000:
+                    self.output_format = "pcm_24000"
+                case SamplingRate.RATE_44100:
+                    self.output_format = "pcm_44100"
+                case SamplingRate.RATE_48000:
+                    self.output_format = "pcm_44100"
+                    self.upsample = SamplingRate.RATE_48000.value
+                    self.sample_rate = SamplingRate.RATE_44100.value
+                case _:
+                    raise ValueError(
+                        f"Unsupported sampling rate: {self.synthesizer_config.sampling_rate}. Elevenlabs only supports 16000, 22050, 24000, and 44100 Hz."
+                    )
+        elif self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+            self.output_format = "ulaw_8000"
+        else:
+            raise ValueError(
+                f"Unsupported audio encoding: {self.synthesizer_config.audio_encoding}"
+            )
+
+    def get_eleven_labs_websocket_voice_settings(self):
+        if self.stability is None or self.similarity_boost is None:
+            return None
+        return ElevenLabsWebsocketVoiceSettings(
+            stability=self.stability,
+            similarity_boost=self.similarity_boost,
+        )
+
+    def reduce_chunk_amplitude(self, chunk: bytes, factor: float) -> bytes:
+        if self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+            chunk = audioop.ulaw2lin(chunk, 2)
+        pcm = np.frombuffer(chunk, dtype=np.int16)
+        pcm = (pcm * factor).astype(np.int16)
+        pcm_bytes = pcm.tobytes()
+        if self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+            return audioop.lin2ulaw(pcm_bytes, 2)
+        else:
+            return pcm_bytes
+
+    async def establish_websocket_listeners(self, chunk_size):
+        url = (
+            ELEVEN_LABS_BASE_URL
+            + f"text-to-speech/{self.voice_id}/stream-input?output_format={self.output_format}"
+        )
+        if self.optimize_streaming_latency:
+            url += f"&optimize_streaming_latency={self.optimize_streaming_latency}"
+        if self.model_id:
+            url += f"&model_id={self.model_id}"
+        headers = {"xi-api-key": self.api_key}
+
+        backchannelled = False
+
+        async with websockets.connect(
+            url,
+            additional_headers=headers,
+        ) as ws:
+
+            async def write() -> None:
+                nonlocal backchannelled
+                try:
+                    first_message = True
+                    while True:
+                        message = await self.text_chunk_queue.get()
+                        if not message:
+                            break
+                        if first_message and isinstance(message, BotBackchannel):
+                            backchannelled = True
+                        eleven_labs_ws_message = (
+                            ElevenLabsWebsocketMessage(
+                                text=message.text,
+                                flush=not isinstance(message, LLMToken),
+                            ).json()
+                            if not first_message
+                            else ElevenLabsWebsocketFirstMessage(
+                                text=message.text,
+                                voice_settings=self.get_eleven_labs_websocket_voice_settings(),
+                                generation_config=ElevenLabsWebsocketGenerationConfig(
+                                    chunk_length_schedule=[50],
+                                ),
+                                flush=not isinstance(message, LLMToken),
+                                xi_api_key=self.api_key,
+                            ).json(exclude_none=True)
+                        )
+                        await ws.send(eleven_labs_ws_message)
+                        first_message = False
+                finally:
+                    await ws.send(ElevenLabsWebsocketMessage(text="").json())
+
+            async def listen() -> None:
+                """Listen to the websocket for audio data and stream it."""
+
+                first_message = True
+                buffer = bytearray()
+                while True:
+                    message = await ws.recv()
+                    if "audio" not in message:
+                        continue
+                    response = ElevenLabsWebsocketResponse.model_validate_json(message)
+                    if response.audio:
+                        decoded = base64.b64decode(response.audio)
+                        seconds = len(decoded) / (
+                            self.sample_width * self.synthesizer_config.sampling_rate
+                        )
+
+                        if self.upsample:
+                            decoded = self._resample_chunk(
+                                decoded,
+                                self.sample_rate,
+                                self.upsample,
+                            )
+                            seconds = len(decoded) / (self.sample_width * self.sample_rate)
+
+                        if response.alignment:
+                            utterance_chunk = "".join(response.alignment.chars) + " "
+                            self.current_turn_utterances_by_chunk.append((utterance_chunk, seconds))
+                        # For backchannels, send them all as one chunk (so it can't be interrupted) and reduce the volume
+                        # so that in the case of a false endpoint, the backchannel is not too loud.
+                        if first_message and backchannelled:
+                            buffer.extend(decoded)
+                            logger.info("First message was a backchannel, reducing volume.")
+                            reduced_amplitude_buffer = self.reduce_chunk_amplitude(
+                                buffer, factor=self.synthesizer_config.backchannel_amplitude_factor
+                            )
+                            await self.voice_packet_queue.put(reduced_amplitude_buffer)
+                            buffer = bytearray()
+                            first_message = False
+                        else:
+                            buffer.extend(decoded)
+                            for chunk_idx in range(0, len(buffer) - chunk_size, chunk_size):
+                                await self.voice_packet_queue.put(
+                                    buffer[chunk_idx : chunk_idx + chunk_size]
+                                )
+                            buffer = buffer[len(buffer) - (len(buffer) % chunk_size) :]
+
+                    if response.isFinal:
+                        await self.voice_packet_queue.put(None)
+                        break
+
+            self.websocket_tasks["listener"] = asyncio.create_task(listen())
+            self.websocket_tasks["writer"] = asyncio.create_task(write())
+            self.websocket_functions = await asyncio.gather(*self.websocket_tasks.values())
+
+    def get_current_utterance_synthesis_result(self):
+        return SynthesisResult(
+            self.chunk_result_generator_from_queue(self.voice_packet_queue),
+            lambda seconds: self.get_current_message_so_far(seconds),
+        )
+
+    async def create_speech_uncached(
+        self,
+        message: BaseMessage,
+        chunk_size: int,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
+    ):
+        """
+        Ran when doing utterance parsing.
+        ie: "Hello, my name is foo."
+        """
+        if not self.websocket_listener:
+            self.websocket_listener = asyncio.create_task(
+                self.establish_websocket_listeners(chunk_size)
+            )
+
+        if isinstance(message, BotBackchannel):
+            if not message.text.endswith(" "):
+                message.text += " "
+            await self.text_chunk_queue.put(message)
+            self.total_chars += len(message.text)
+        else:
+            async for text in string_chunker(message.text):
+                await self.text_chunk_queue.put(LLMToken(text=text))
+                self.total_chars += len(text)
+
+        return self.get_current_utterance_synthesis_result()
+
+    async def send_token_to_synthesizer(self, message: LLMToken, chunk_size: int):
+        """
+        Ran when parsing a single chunk of text.
+
+        ie: "Hello,"
+        """
+        self.total_chars += len(message.text)
+
+        if not self.websocket_listener:
+            self.websocket_listener = asyncio.create_task(
+                self.establish_websocket_listeners(chunk_size)
+            )
+
+        await self.text_chunk_queue.put(message)
+        return None
+
+    def _cleanup_websocket_tasks(self):
+        for task in self.websocket_tasks.values():
+            if task is not None:
+                task.cancel()
+        self.text_chunk_queue = asyncio.Queue()
+        self.voice_packet_queue = asyncio.Queue()
+        if self.websocket_listener is not None:
+            self.websocket_listener.cancel()
+
+    def ready_synthesizer(self, chunk_size: int):
+        self._cleanup_websocket_tasks()
+        self.websocket_listener = asyncio.create_task(
+            self.establish_websocket_listeners(chunk_size)
+        )
+
+    def get_current_message_so_far(self, seconds: Optional[float]) -> str:
+        seconds_idx = 0.0
+        buffer = ""
+        for utterance, duration in self.current_turn_utterances_by_chunk:
+            if seconds is not None and seconds_idx > seconds:
+                return buffer
+            buffer += utterance
+            seconds_idx += duration
+        return buffer
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: ElevenLabsSynthesizerConfig):
+        return ElevenLabsSynthesizer.get_voice_identifier(synthesizer_config)
+
+    async def handle_end_of_turn(self):
+        self.end_of_turn = True
+        await self.text_chunk_queue.put(None)
+        self.current_turn_utterances_by_chunk = []
+
+    async def cancel_websocket_tasks(self):
+        self._cleanup_websocket_tasks()
+
+    async def tear_down(self):
+        await self.cancel_websocket_tasks()
+        await super().tear_down()
diff --git a/vocode/streaming/synthesizer/factory.py b/vocode/streaming/synthesizer/factory.py
deleted file mode 100644
index 3c19c40ed3..0000000000
--- a/vocode/streaming/synthesizer/factory.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import logging
-from typing import Optional
-import typing
-import aiohttp
-
-from vocode.streaming.models.synthesizer import (
-    AzureSynthesizerConfig,
-    CoquiTTSSynthesizerConfig,
-    ElevenLabsSynthesizerConfig,
-    GTTSSynthesizerConfig,
-    GoogleSynthesizerConfig,
-    PlayHtSynthesizerConfig,
-    RimeSynthesizerConfig,
-    StreamElementsSynthesizerConfig,
-    SynthesizerConfig,
-    SynthesizerType,
-)
-from vocode.streaming.synthesizer.azure_synthesizer import AzureSynthesizer
-from vocode.streaming.synthesizer.eleven_labs_synthesizer import ElevenLabsSynthesizer
-from vocode.streaming.synthesizer.google_synthesizer import GoogleSynthesizer
-from vocode.streaming.synthesizer.gtts_synthesizer import GTTSSynthesizer
-from vocode.streaming.synthesizer.play_ht_synthesizer import PlayHtSynthesizer
-from vocode.streaming.synthesizer.rime_synthesizer import RimeSynthesizer
-from vocode.streaming.synthesizer.stream_elements_synthesizer import (
-    StreamElementsSynthesizer,
-)
-from vocode.streaming.synthesizer.coqui_tts_synthesizer import CoquiTTSSynthesizer
-
-
-class SynthesizerFactory:
-    def create_synthesizer(
-        self,
-        synthesizer_config: SynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
-    ):
-        if isinstance(synthesizer_config, GoogleSynthesizerConfig):
-            return GoogleSynthesizer(
-                synthesizer_config, logger=logger, aiohttp_session=aiohttp_session
-            )
-        elif isinstance(synthesizer_config, AzureSynthesizerConfig):
-            return AzureSynthesizer(
-                synthesizer_config, logger=logger, aiohttp_session=aiohttp_session
-            )
-        elif isinstance(synthesizer_config, ElevenLabsSynthesizerConfig):
-            return ElevenLabsSynthesizer(
-                synthesizer_config, logger=logger, aiohttp_session=aiohttp_session
-            )
-        elif isinstance(synthesizer_config, PlayHtSynthesizerConfig):
-            return PlayHtSynthesizer(
-                synthesizer_config, logger=logger, aiohttp_session=aiohttp_session
-            )
-        elif isinstance(synthesizer_config, RimeSynthesizerConfig):
-            return RimeSynthesizer(
-                synthesizer_config, logger=logger, aiohttp_session=aiohttp_session
-            )
-        elif isinstance(synthesizer_config, GTTSSynthesizerConfig):
-            return GTTSSynthesizer(
-                synthesizer_config, logger=logger, aiohttp_session=aiohttp_session
-            )
-        elif isinstance(synthesizer_config, StreamElementsSynthesizerConfig):
-            return StreamElementsSynthesizer(
-                synthesizer_config, logger=logger, aiohttp_session=aiohttp_session
-            )
-        elif isinstance(synthesizer_config, CoquiTTSSynthesizerConfig):
-            return CoquiTTSSynthesizer(
-                synthesizer_config, logger=logger, aiohttp_session=aiohttp_session
-            )
-        else:
-            raise Exception("Invalid synthesizer config")
diff --git a/vocode/streaming/synthesizer/google_synthesizer.py b/vocode/streaming/synthesizer/google_synthesizer.py
index d0e4384959..acf89d7cea 100644
--- a/vocode/streaming/synthesizer/google_synthesizer.py
+++ b/vocode/streaming/synthesizer/google_synthesizer.py
@@ -1,45 +1,26 @@
 import asyncio
-from concurrent.futures import ThreadPoolExecutor
 import io
-import logging
-import os
 import wave
-from typing import Any, Optional
-import aiohttp
+from concurrent.futures import ThreadPoolExecutor
+from typing import Any
 
-from vocode import getenv
+import google.auth
+from google.cloud import texttospeech_v1beta1 as tts  # type: ignore
 
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
 from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    encode_as_wav,
-    tracer,
-)
-from vocode.streaming.models.synthesizer import GoogleSynthesizerConfig, SynthesizerType
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.utils import convert_wav
-
-from opentelemetry.context.context import Context
+from vocode.streaming.models.synthesizer import GoogleSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
 
 
 class GoogleSynthesizer(BaseSynthesizer[GoogleSynthesizerConfig]):
     def __init__(
         self,
         synthesizer_config: GoogleSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ):
-        super().__init__(synthesizer_config, aiohttp_session)
-
-        from google.cloud import texttospeech_v1beta1 as tts
-        import google.auth
+        super().__init__(synthesizer_config)
 
         google.auth.default()
 
-        self.tts = tts
-
         # Instantiates a client
         self.client = tts.TextToSpeechClient()
 
@@ -53,7 +34,7 @@ def __init__(
         # Select the type of audio file you want returned
         self.audio_config = tts.AudioConfig(
             audio_encoding=tts.AudioEncoding.LINEAR16,
-            sample_rate_hertz=24000,
+            sample_rate_hertz=synthesizer_config.sampling_rate,
             speaking_rate=synthesizer_config.speaking_rate,
             pitch=synthesizer_config.pitch,
             effects_profile_id=["telephony-class-application"],
@@ -61,40 +42,32 @@ def __init__(
         self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
 
     def synthesize(self, message: str) -> Any:
-        synthesis_input = self.tts.SynthesisInput(text=message)
+        synthesis_input = tts.SynthesisInput(text=message)
 
         # Perform the text-to-speech request on the text input with the selected
         # voice parameters and audio file type
         return self.client.synthesize_speech(
-            request=self.tts.SynthesizeSpeechRequest(
+            request=tts.SynthesizeSpeechRequest(
                 input=synthesis_input,
                 voice=self.voice,
                 audio_config=self.audio_config,
-                enable_time_pointing=[
-                    self.tts.SynthesizeSpeechRequest.TimepointType.SSML_MARK
-                ],
+                enable_time_pointing=[tts.SynthesizeSpeechRequest.TimepointType.SSML_MARK],
             )
         )
 
     # TODO: make this nonblocking, see speech.TextToSpeechAsyncClient
-    async def create_speech(
+    async def create_speech_uncached(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.GOOGLE.value.split('_', 1)[-1]}.create_total",
-        )
-        response: self.tts.SynthesizeSpeechResponse = (  # type: ignore
+        response: tts.SynthesizeSpeechResponse = (  # type: ignore
             await asyncio.get_event_loop().run_in_executor(
                 self.thread_pool_executor, self.synthesize, message.text
             )
         )
-        create_speech_span.end()
-        convert_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.GOOGLE.value.split('_', 1)[-1]}.convert",
-        )
         output_sample_rate = response.audio_config.sample_rate_hertz
 
         output_bytes_io = io.BytesIO()
@@ -102,13 +75,13 @@ async def create_speech(
         in_memory_wav.setnchannels(1)
         in_memory_wav.setsampwidth(2)
         in_memory_wav.setframerate(output_sample_rate)
-        in_memory_wav.writeframes(response.audio_content)
+        in_memory_wav.writeframes(response.audio_content[44:])
         output_bytes_io.seek(0)
 
         result = self.create_synthesis_result_from_wav(
+            synthesizer_config=self.synthesizer_config,
             file=output_bytes_io,
             message=message,
             chunk_size=chunk_size,
         )
-        convert_span.end()
         return result
diff --git a/vocode/streaming/synthesizer/gtts_synthesizer.py b/vocode/streaming/synthesizer/gtts_synthesizer.py
index a58c79cbe2..8ad8a31d50 100644
--- a/vocode/streaming/synthesizer/gtts_synthesizer.py
+++ b/vocode/streaming/synthesizer/gtts_synthesizer.py
@@ -1,58 +1,38 @@
 import asyncio
 from concurrent.futures import ThreadPoolExecutor
-import logging
-import aiohttp
-from pydub import AudioSegment
-from typing import Optional
 from io import BytesIO
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
-from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.synthesizer import GTTSSynthesizerConfig, SynthesizerType
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    tracer,
-)
 
-from opentelemetry.context.context import Context
+from gtts import gTTS
+from pydub import AudioSegment
+
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import GTTSSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
 
 
 class GTTSSynthesizer(BaseSynthesizer):
     def __init__(
         self,
         synthesizer_config: GTTSSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ):
-        super().__init__(synthesizer_config, aiohttp_session)
+        super().__init__(synthesizer_config)
 
-        from gtts import gTTS
-
-        self.gTTS = gTTS
         self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
 
     async def create_speech(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
         audio_file = BytesIO()
 
         def thread():
-            tts = self.gTTS(message.text)
+            tts = gTTS(message.text)
             tts.write_to_fp(audio_file)
 
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.GTTS.value.split('_', 1)[-1]}.create_total"
-        )
-        await asyncio.get_event_loop().run_in_executor(
-            self.thread_pool_executor, thread
-        )
-        create_speech_span.end()
-        convert_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.GTTS.value.split('_', 1)[-1]}.convert",
-        )
+        await asyncio.get_event_loop().run_in_executor(self.thread_pool_executor, thread)
         audio_file.seek(0)
         # TODO: probably needs to be in a thread
         audio_segment: AudioSegment = AudioSegment.from_mp3(audio_file)  # type: ignore
@@ -60,9 +40,9 @@ def thread():
         audio_segment.export(output_bytes_io, format="wav")  # type: ignore
 
         result = self.create_synthesis_result_from_wav(
+            synthesizer_config=self.synthesizer_config,
             file=output_bytes_io,
             message=message,
             chunk_size=chunk_size,
         )
-        convert_span.end()
         return result
diff --git a/vocode/streaming/synthesizer/input_streaming_synthesizer.py b/vocode/streaming/synthesizer/input_streaming_synthesizer.py
new file mode 100644
index 0000000000..cb3d8d425f
--- /dev/null
+++ b/vocode/streaming/synthesizer/input_streaming_synthesizer.py
@@ -0,0 +1,16 @@
+from vocode.streaming.models.message import LLMToken
+
+
+class InputStreamingSynthesizer:
+    async def handle_end_of_turn(self):
+        pass
+
+    def get_current_utterance_synthesis_result(self):
+        raise NotImplementedError
+
+    async def send_token_to_synthesizer(
+        self,
+        message: LLMToken,
+        chunk_size: int,
+    ):
+        raise NotImplementedError
diff --git a/vocode/streaming/synthesizer/miniaudio_worker.py b/vocode/streaming/synthesizer/miniaudio_worker.py
index e6a05a6bd9..9cb67e4d74 100644
--- a/vocode/streaming/synthesizer/miniaudio_worker.py
+++ b/vocode/streaming/synthesizer/miniaudio_worker.py
@@ -1,30 +1,48 @@
 from __future__ import annotations
-import queue
 
-from typing import Optional, Tuple, Union
 import asyncio
+import queue
+from typing import Tuple, Union
+
 import miniaudio
+from loguru import logger
 
 from vocode.streaming.models.synthesizer import SynthesizerConfig
 from vocode.streaming.utils import convert_wav
 from vocode.streaming.utils.mp3_helper import decode_mp3
-from vocode.streaming.utils.worker import ThreadAsyncWorker, logger
+from vocode.streaming.utils.worker import AbstractWorker, ThreadAsyncWorker
 
 
 class MiniaudioWorker(ThreadAsyncWorker[Union[bytes, None]]):
+    consumer: AbstractWorker[Tuple[bytes, bool]]
+
     def __init__(
         self,
         synthesizer_config: SynthesizerConfig,
         chunk_size: int,
-        input_queue: asyncio.Queue[Union[bytes, None]],
-        output_queue: asyncio.Queue[Tuple[bytes, bool]],
     ) -> None:
-        super().__init__(input_queue, output_queue)
-        self.output_queue = output_queue  # for typing
+        super().__init__()
         self.synthesizer_config = synthesizer_config
         self.chunk_size = chunk_size
         self._ended = False
 
+    async def run_thread_forwarding(self):
+        try:
+            await asyncio.gather(
+                self._forward_to_thread(),
+                self._forward_from_thread(),
+            )
+        except asyncio.CancelledError:
+            return
+
+    async def _forward_from_thread(self):
+        while True:
+            try:
+                chunk, done = await self.output_janus_queue.async_q.get()
+                self.consumer.consume_nonblocking((chunk, done))
+            except asyncio.CancelledError:
+                break
+
     def _run_loop(self):
         # tracks the mp3 so far
         current_mp3_buffer = bytearray()
@@ -41,9 +59,7 @@ def _run_loop(self):
             if mp3_chunk is None:
                 current_mp3_buffer.clear()
                 current_wav_buffer.clear()
-                self.output_janus_queue.sync_q.put(
-                    (bytes(current_wav_output_buffer), True)
-                )
+                self.output_janus_queue.sync_q.put((bytes(current_wav_output_buffer), True))
                 current_wav_output_buffer.clear()
                 continue
             try:
@@ -80,6 +96,6 @@ def _run_loop(self):
             current_wav_output_buffer = current_wav_output_buffer[output_buffer_idx:]
             current_wav_buffer.extend(new_bytes)
 
-    def terminate(self):
+    async def terminate(self):
         self._ended = True
-        super().terminate()
+        await super().terminate()
diff --git a/vocode/streaming/synthesizer/play_ht_synthesizer.py b/vocode/streaming/synthesizer/play_ht_synthesizer.py
index e4b775720d..46c361bc47 100644
--- a/vocode/streaming/synthesizer/play_ht_synthesizer.py
+++ b/vocode/streaming/synthesizer/play_ht_synthesizer.py
@@ -1,60 +1,67 @@
 import asyncio
-import io
-import logging
-from typing import Optional
+from typing import Literal
 
-from aiohttp import ClientSession, ClientTimeout
-from pydub import AudioSegment
-import requests
-from opentelemetry.context.context import Context
+import aiohttp
+from aiohttp import ClientTimeout
 
-from vocode import getenv
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
+from vocode.streaming.models.audio import AudioEncoding
 from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.synthesizer import PlayHtSynthesizerConfig, SynthesizerType
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    tracer,
-)
-from vocode.streaming.utils.mp3_helper import decode_mp3
-
+from vocode.streaming.models.synthesizer import PlayHtSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
 
 TTS_ENDPOINT = "https://play.ht/api/v2/tts/stream"
 
 
+class PlayHTV1APIError(Exception):
+    pass
+
+
 class PlayHtSynthesizer(BaseSynthesizer[PlayHtSynthesizerConfig]):
     def __init__(
         self,
         synthesizer_config: PlayHtSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
-        aiohttp_session: Optional[ClientSession] = None,
+        max_backoff_retries=3,
+        backoff_retry_delay=2,
     ):
-        super().__init__(synthesizer_config, aiohttp_session)
+        super().__init__(
+            synthesizer_config,
+        )
         self.synthesizer_config = synthesizer_config
-        self.api_key = synthesizer_config.api_key or getenv("PLAY_HT_API_KEY")
-        self.user_id = synthesizer_config.user_id or getenv("PLAY_HT_USER_ID")
+        self.api_key = synthesizer_config.api_key
+        self.user_id = synthesizer_config.user_id
         if not self.api_key or not self.user_id:
             raise ValueError(
                 "You must set the PLAY_HT_API_KEY and PLAY_HT_USER_ID environment variables"
             )
+        self.words_per_minute = 150
+        self.experimental_streaming = synthesizer_config.experimental_streaming
+        self.max_backoff_retries = max_backoff_retries
+        self.backoff_retry_delay = backoff_retry_delay
 
-    async def create_speech(
+    async def create_speech_uncached(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
+        self.total_chars += len(message.text)
         headers = {
-            "Authorization": f"Bearer {self.api_key}",
-            "X-User-ID": self.user_id,
-            "Accept": "audio/mpeg",
+            "AUTHORIZATION": f"Bearer {self.api_key}",
+            "X-USER-ID": self.user_id,
             "Content-Type": "application/json",
         }
+        output_format: Literal["wav", "mulaw"]
+        if self.synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
+            output_format = "wav"
+        elif self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+            output_format = "mulaw"
         body = {
+            "quality": "draft",
             "voice": self.synthesizer_config.voice_id,
             "text": message.text,
             "sample_rate": self.synthesizer_config.sampling_rate,
+            "output_format": output_format,
         }
         if self.synthesizer_config.speed:
             body["speed"] = self.synthesizer_config.speed
@@ -62,27 +69,89 @@ async def create_speech(
             body["seed"] = self.synthesizer_config.seed
         if self.synthesizer_config.temperature:
             body["temperature"] = self.synthesizer_config.temperature
+        if self.synthesizer_config.quality:
+            body["quality"] = self.synthesizer_config.quality
 
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.PLAY_HT.value.split('_', 1)[-1]}.create_total",
-        )
-
-        async with self.aiohttp_session.post(
-            TTS_ENDPOINT, headers=headers, json=body, timeout=ClientTimeout(total=15)
-        ) as response:
-            if not response.ok:
-                raise Exception(f"Play.ht API error status code {response.status}")
-            read_response = await response.read()
-            create_speech_span.end()
-            convert_span = tracer.start_span(
-                f"synthesizer.{SynthesizerType.PLAY_HT.value.split('_', 1)[-1]}.convert",
+        backoff_retry_delay = self.backoff_retry_delay
+        max_backoff_retries = self.max_backoff_retries
+        for attempt in range(max_backoff_retries):
+            response = await self.async_requestor.get_session().post(
+                TTS_ENDPOINT,
+                headers=headers,
+                json=body,
+                timeout=ClientTimeout(total=15),
             )
-            output_bytes_io = decode_mp3(read_response)
+            if not response.ok:
+                response_json = await response.json()
+                if response_json and "error_message" in response_json:
+                    error_message = response_json["error_message"]
+                else:
+                    error_message = (
+                        f"Request to Play.HT failed with status code {str(response.status)}"
+                    )
 
-            result = self.create_synthesis_result_from_wav(
-                file=output_bytes_io,
-                message=message,
-                chunk_size=chunk_size,
+                raise PlayHTV1APIError(
+                    f"Play.ht API error status code {response.status}",
+                    error_message,
+                )
+            if response.status == 429 and attempt < max_backoff_retries - 1:
+                await asyncio.sleep(backoff_retry_delay)
+                backoff_retry_delay *= 2  # Exponentially increase delay
+                continue
+
+            if self.experimental_streaming:
+                return SynthesisResult(
+                    self.experimental_mp3_streaming_output_generator(
+                        response, chunk_size
+                    ),  # should be wav
+                    lambda seconds: self.get_message_cutoff_from_voice_speed(
+                        message, seconds, self.words_per_minute
+                    ),
+                )
+            else:
+                return SynthesisResult(
+                    self._streaming_chunk_generator(response, chunk_size, output_format),
+                    lambda seconds: self.get_message_cutoff_from_voice_speed(message, seconds, 150),
+                )
+
+        raise Exception("Max retries reached for Play.ht API")
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: PlayHtSynthesizerConfig):
+        return ":".join(
+            (
+                "play_ht",
+                str(synthesizer_config.user_id),
+                synthesizer_config.voice_id,
+                str(synthesizer_config.speed),
+                str(synthesizer_config.seed),
+                str(synthesizer_config.temperature),
+                str(synthesizer_config.quality),
+                synthesizer_config.audio_encoding,
             )
-            convert_span.end()
-            return result
+        )
+
+    @staticmethod
+    async def _streaming_chunk_generator(
+        response: aiohttp.ClientResponse,
+        chunk_size: int,
+        output_format: Literal["wav", "mulaw"],
+    ):
+        if output_format == "wav":
+            buffer = b""
+            is_first_chunk = True
+            async for chunk in response.content.iter_any():
+                if is_first_chunk:
+                    is_first_chunk = False
+                    buffer += chunk[88:]  # size of the wav header
+                else:
+                    buffer += chunk
+                i = 0
+                while i < len(buffer) - chunk_size:
+                    yield SynthesisResult.ChunkResult(buffer[i : i + chunk_size], False)
+                    i += chunk_size
+                buffer = buffer[i:]
+        elif output_format == "mulaw":
+            async for chunk in response.content.iter_chunked(chunk_size):
+                yield SynthesisResult.ChunkResult(chunk, False)
+        await response.release()
diff --git a/vocode/streaming/synthesizer/play_ht_synthesizer_v2.py b/vocode/streaming/synthesizer/play_ht_synthesizer_v2.py
new file mode 100644
index 0000000000..1e58b70fb4
--- /dev/null
+++ b/vocode/streaming/synthesizer/play_ht_synthesizer_v2.py
@@ -0,0 +1,300 @@
+import asyncio
+import audioop
+import os
+from typing import AsyncGenerator, AsyncIterator, Optional
+
+import numpy as np
+from loguru import logger
+from pyht import AsyncClient
+from pyht.client import CongestionCtrl, TTSOptions
+from pyht.protos import api_pb2
+
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import PlayHtSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import SynthesisResult
+from vocode.streaming.synthesizer.play_ht_synthesizer import (
+    PlayHtSynthesizer as VocodePlayHtSynthesizer,
+)
+from vocode.streaming.synthesizer.synthesizer_utils import split_text
+from vocode.streaming.utils import generate_from_async_iter_with_lookahead, generate_with_is_last
+from vocode.streaming.utils.create_task import asyncio_create_task
+
+PLAY_HT_ON_PREM_ADDR = os.environ.get("VOCODE_PLAYHT_ON_PREM_ADDR", None)
+PLAY_HT_V2_MAX_CHARS = 200
+EXPERIMENTAL_VOICE_AMPLITUDE_THRESHOLD = 200
+
+
+class PlayHtSynthesizerV2(VocodePlayHtSynthesizer):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+
+        self.playht_client_saas = AsyncClient(
+            user_id=self.user_id,
+            api_key=self.api_key,
+        )
+        self.playht_client_on_prem = None
+
+        if self.synthesizer_config.on_prem:
+            logger.info(f"Creating on-prem PlayHT with gRPC address {PLAY_HT_ON_PREM_ADDR}")
+            advanced_options = AsyncClient.AdvancedOptions(
+                grpc_addr=PLAY_HT_ON_PREM_ADDR,
+                fallback_enabled=True,
+                congestion_ctrl=CongestionCtrl.STATIC_MAR_2023,
+            )
+
+            self.playht_client_on_prem = AsyncClient(
+                user_id=self.user_id,
+                api_key=self.api_key,
+                advanced=advanced_options,
+            )
+
+        if self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+            audio_format = api_pb2.FORMAT_MULAW
+        elif self.synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
+            audio_format = api_pb2.FORMAT_WAV
+
+        sample_rate = self.synthesizer_config.sampling_rate
+        self.playht_options = TTSOptions(
+            voice=self.synthesizer_config.voice_id,
+            # PlayHT runs significantly slower when sampling rate is not 24KHz
+            # 24KHz is the default for PlayHT
+            sample_rate=sample_rate if sample_rate > 24000 else 24000,
+            speed=self.synthesizer_config.speed if self.synthesizer_config.speed else 1,
+            format=audio_format,
+            text_guidance=self.synthesizer_config.text_guidance,
+            voice_guidance=self.synthesizer_config.voice_guidance,
+            temperature=self.synthesizer_config.temperature,
+            top_p=self.synthesizer_config.top_p,
+        )
+        if self.synthesizer_config.quality:
+            self.playht_options.quality = self.synthesizer_config.quality
+
+    @property
+    def playht_client(self) -> AsyncClient:
+        if self.playht_client_on_prem is not None:
+            return self.playht_client_on_prem
+        return self.playht_client_saas
+
+    async def create_speech_uncached(
+        self,
+        message: BaseMessage,
+        chunk_size: int,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
+    ) -> SynthesisResult:
+
+        self.total_chars += len(message.text)
+        chunk_queue: asyncio.Queue[Optional[bytes]] = asyncio.Queue()
+        asyncio_create_task(
+            self.get_chunks(
+                message,
+                chunk_size,
+                chunk_queue,
+                cut_leading_silence=not is_first_text_chunk
+                and self.synthesizer_config.experimental_remove_silence,
+                cut_trailing_silence=not is_sole_text_chunk
+                and self.synthesizer_config.experimental_remove_silence,
+            ),
+        )
+
+        return SynthesisResult(
+            self.chunk_result_generator_from_queue(chunk_queue),
+            lambda seconds: self.get_message_cutoff_from_voice_speed(
+                message,
+                seconds,
+                self.words_per_minute,
+            ),
+        )
+
+    def _contains_voice_experimental(self, chunk: bytes):
+        pcm = np.frombuffer(
+            (
+                audioop.ulaw2lin(chunk, 2)
+                if self.synthesizer_config.audio_encoding == AudioEncoding.MULAW
+                else chunk
+            ),
+            dtype=np.int16,
+        )
+        return np.max(np.abs(pcm)) > EXPERIMENTAL_VOICE_AMPLITUDE_THRESHOLD
+
+    @staticmethod
+    def _enumerate_by_chunk_size(buffer: bytes, chunk_size: int):
+        for buffer_idx in range(0, len(buffer) - chunk_size, chunk_size):
+            yield buffer_idx, buffer[buffer_idx : buffer_idx + chunk_size]
+
+    async def _downsample_from_24khz(self, chunk: bytes) -> bytes:
+        if self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+            return await self._downsample_mulaw(chunk)
+        elif self.synthesizer_config.audio_encoding == AudioEncoding.LINEAR16:
+            return await self._downsample_pcm(chunk)
+        else:
+            raise Exception(f"Unsupported audio format: {self.synthesizer_config.audio_encoding}")
+
+    async def _downsample_pcm(self, chunk: bytes) -> bytes:
+        downsampled_chunk, _ = audioop.ratecv(
+            chunk,
+            2,
+            1,
+            24000,
+            self.synthesizer_config.sampling_rate,
+            None,
+        )
+
+        return downsampled_chunk
+
+    async def _downsample_mulaw(self, chunk: bytes) -> bytes:
+        pcm_data = audioop.ulaw2lin(chunk, 2)
+        downsampled_pcm_data = await self._downsample_pcm(pcm_data)
+        downsampled_chunk = audioop.lin2ulaw(downsampled_pcm_data, 2)
+        return downsampled_chunk
+
+    async def downsample_async_generator(self, async_gen: AsyncGenerator[bytes, None]):
+        async for play_ht_chunk in async_gen:
+            if self.synthesizer_config.sampling_rate >= 24000:
+                yield play_ht_chunk
+            else:
+                downsampled_chunk = await self._downsample_from_24khz(play_ht_chunk)
+                yield downsampled_chunk
+
+    async def _cut_leading_trailing_silence(
+        self,
+        async_iter: AsyncIterator[bytes],
+        chunk_size: int,
+        cut_leading_silence: bool = True,
+        cut_trailing_silence: bool = True,
+    ) -> AsyncGenerator[bytes, None]:
+        buffer: bytearray = bytearray()
+
+        async def generate_chunks(
+            play_ht_chunk: bytes,
+            cut_leading_silence=False,
+        ) -> AsyncGenerator[bytes, None]:
+            """Yields chunks of size chunk_size from play_ht_chunk and leaves the remainder in buffer.
+
+            If cut_leading_silence is True, does not yield chunks until it detects voice.
+            """
+            nonlocal buffer
+
+            buffer.extend(play_ht_chunk)
+            detected_voice = False
+            for buffer_idx, chunk in self._enumerate_by_chunk_size(buffer, chunk_size):
+                if cut_leading_silence and not detected_voice:
+                    if self._contains_voice_experimental(chunk):
+                        detected_voice = True
+                        yield chunk
+                    if detected_voice:
+                        logger.debug(f"Cut off {buffer_idx} bytes of leading silence")
+                else:
+                    yield chunk
+            buffer = buffer[len(buffer) - (len(buffer) % chunk_size) :]
+
+        async def _cut_out_trailing_silence(
+            trailing_chunk: bytes,
+        ) -> AsyncGenerator[bytes, None]:
+            """Yields chunks of size chunk_size from trailing_chunk until it detects silence."""
+            for buffer_idx, chunk in self._enumerate_by_chunk_size(trailing_chunk, chunk_size):
+                if not self._contains_voice_experimental(chunk):
+                    logger.debug(
+                        f"Cutting off {len(trailing_chunk) - buffer_idx} bytes of trailing silence",
+                    )
+                    break
+                yield chunk
+
+        # Yield from the first audio chunk, no matter what, for latency
+        try:
+            play_ht_chunk = await async_iter.__anext__()
+        except StopAsyncIteration:
+            return
+
+        async for chunk in generate_chunks(play_ht_chunk, cut_leading_silence=cut_leading_silence):
+            yield chunk
+
+        async for lookahead_buffer, is_last in generate_with_is_last(
+            generate_from_async_iter_with_lookahead(async_iter, 2),
+        ):
+            if not is_last:
+                async for chunk in generate_chunks(lookahead_buffer[0]):
+                    yield chunk
+            else:
+                trailing_chunk = b"".join(lookahead_buffer)
+                async for chunk in (
+                    _cut_out_trailing_silence(trailing_chunk)
+                    if cut_trailing_silence
+                    else generate_chunks(trailing_chunk)
+                ):
+                    yield chunk
+
+    async def get_chunks(
+        self,
+        message: BaseMessage,
+        chunk_size: int,
+        chunk_queue: asyncio.Queue[Optional[bytes]],
+        cut_leading_silence: bool,
+        cut_trailing_silence: bool,
+    ):
+        buffer = bytearray()
+        try:
+            playht_bytes_generators = [
+                self.playht_client.tts(
+                    text,
+                    self.playht_options,
+                )
+                for text in split_text(
+                    string_to_split=message.text,
+                    max_text_length=PLAY_HT_V2_MAX_CHARS,
+                )
+            ]
+            downsampled_generators = [
+                self.downsample_async_generator(gen) for gen in playht_bytes_generators
+            ]
+
+            for async_gen in downsampled_generators:
+                async_iter = async_gen.__aiter__()
+                if (
+                    self.synthesizer_config.audio_encoding == AudioEncoding.LINEAR16
+                ):  # skip the first chunk, which contains wav header
+                    await async_iter.__anext__()
+                if not cut_trailing_silence and not cut_leading_silence:
+                    while True:
+                        try:
+                            play_ht_chunk = await async_iter.__anext__()
+                        except StopAsyncIteration:
+                            break
+
+                        buffer.extend(play_ht_chunk)
+                        for _, chunk in self._enumerate_by_chunk_size(buffer, chunk_size):
+                            chunk_queue.put_nowait(chunk)
+                        buffer = buffer[len(buffer) - (len(buffer) % chunk_size) :]
+                    if len(buffer) > 0:
+                        chunk_queue.put_nowait(buffer)
+                else:
+                    async for chunk in self._cut_leading_trailing_silence(
+                        async_iter,
+                        chunk_size,
+                        cut_leading_silence=cut_leading_silence,
+                        cut_trailing_silence=cut_trailing_silence,
+                    ):
+                        chunk_queue.put_nowait(chunk)
+        except asyncio.CancelledError:
+            pass
+        finally:
+            chunk_queue.put_nowait(None)  # treated as sentinel
+
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: PlayHtSynthesizerConfig):
+        return ":".join(
+            (
+                "play_ht_v2",
+                synthesizer_config.voice_id,
+                str(synthesizer_config.user_id),
+                str(synthesizer_config.speed),
+                str(synthesizer_config.seed),
+                str(synthesizer_config.temperature),
+                synthesizer_config.audio_encoding,
+            ),
+        )
+
+    async def tear_down(self):
+        await self.playht_client.close()
+        await super().tear_down()
diff --git a/vocode/streaming/synthesizer/polly_synthesizer.py b/vocode/streaming/synthesizer/polly_synthesizer.py
new file mode 100644
index 0000000000..72385e05ff
--- /dev/null
+++ b/vocode/streaming/synthesizer/polly_synthesizer.py
@@ -0,0 +1,132 @@
+import asyncio
+import json
+from concurrent.futures import ThreadPoolExecutor
+from typing import Any, Optional
+
+import boto3
+
+from vocode.streaming.models.message import BaseMessage
+from vocode.streaming.models.synthesizer import PollySynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import (
+    BaseSynthesizer,
+    SynthesisResult,
+    encode_as_wav,
+)
+
+
+class PollySynthesizer(BaseSynthesizer[PollySynthesizerConfig]):
+    def __init__(
+        self,
+        synthesizer_config: PollySynthesizerConfig,
+    ):
+        super().__init__(synthesizer_config)
+
+        client = boto3.client("polly")
+
+        # AWS Polly supports sampling rate of 8k and 16k for pcm output
+        if synthesizer_config.sampling_rate not in [8000, 16000]:
+            raise Exception(
+                "Sampling rate not supported by AWS Polly",
+                synthesizer_config.sampling_rate,
+            )
+
+        self.sampling_rate = synthesizer_config.sampling_rate
+        self.client = client
+        self.language_code = synthesizer_config.language_code
+        self.voice_id = synthesizer_config.voice_id
+        self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
+
+    def synthesize(self, message: str) -> Any:
+        # Perform the text-to-speech request on the text input with the selected
+        # voice parameters and audio file type
+        return self.client.synthesize_speech(
+            Text=message,
+            LanguageCode=self.language_code,
+            TextType="text",
+            OutputFormat="pcm",
+            VoiceId=self.voice_id,
+            SampleRate=str(self.sampling_rate),
+        )
+
+    def get_speech_marks(self, message: str) -> Any:
+        return self.client.synthesize_speech(
+            Text=message,
+            LanguageCode=self.language_code,
+            TextType="text",
+            OutputFormat="json",
+            VoiceId=self.voice_id,
+            SampleRate=str(self.sampling_rate),
+            SpeechMarkTypes=["word"],
+        )
+
+    # given the number of seconds the message was allowed to go until, where did we get in the message?
+    def get_message_up_to(
+        self,
+        message: str,
+        seconds: Optional[float],
+        word_events,
+    ) -> str:
+        if seconds is None:
+            return message
+        for event in word_events:
+            # time field is in ms
+            if event["time"] > seconds * 1000:
+                return message[: event["start"]]
+        return message
+
+    async def create_speech(
+        self,
+        message: BaseMessage,
+        chunk_size: int,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
+    ) -> SynthesisResult:
+        audio_response = await asyncio.get_event_loop().run_in_executor(
+            self.thread_pool_executor, self.synthesize, message.text
+        )
+        audio_stream = audio_response.get("AudioStream")
+
+        speech_marks_response = await asyncio.get_event_loop().run_in_executor(
+            self.thread_pool_executor, self.get_speech_marks, message.text
+        )
+        word_events = [
+            json.loads(v)
+            for v in speech_marks_response.get("AudioStream").read().decode().split()
+            if v
+        ]
+
+        async def chunk_generator(audio_data_stream, chunk_transform=lambda x: x):
+            audio_buffer = await asyncio.get_event_loop().run_in_executor(
+                self.thread_pool_executor,
+                lambda: audio_stream.read(chunk_size),
+            )
+            if len(audio_buffer) != chunk_size:
+                yield SynthesisResult.ChunkResult(chunk_transform(audio_buffer), True)
+                return
+            else:
+                yield SynthesisResult.ChunkResult(chunk_transform(audio_buffer), False)
+            while True:
+                audio_buffer = audio_stream.read(chunk_size)
+                if len(audio_buffer) != chunk_size:
+                    yield SynthesisResult.ChunkResult(
+                        chunk_transform(audio_buffer[: len(audio_buffer)]), True
+                    )
+                    break
+                yield SynthesisResult.ChunkResult(chunk_transform(audio_buffer), False)
+
+        if self.synthesizer_config.should_encode_as_wav:
+            output_generator = chunk_generator(
+                audio_stream,
+                lambda chunk: encode_as_wav(chunk, self.synthesizer_config),
+            )
+        else:
+            output_generator = chunk_generator(audio_stream)
+
+        return SynthesisResult(
+            output_generator,
+            lambda seconds: self.get_message_up_to(
+                message.text,
+                seconds,
+                word_events,
+            ),
+        )
diff --git a/vocode/streaming/synthesizer/rime_synthesizer.py b/vocode/streaming/synthesizer/rime_synthesizer.py
index 4409c70acf..b00cd872b3 100644
--- a/vocode/streaming/synthesizer/rime_synthesizer.py
+++ b/vocode/streaming/synthesizer/rime_synthesizer.py
@@ -1,83 +1,149 @@
+import asyncio
 import audioop
-import logging
-import aiohttp
-from pydub import AudioSegment
 import base64
+import io
+import json
+from typing import Optional
+
+import aiohttp
+from loguru import logger
+
 from vocode import getenv
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
-from vocode.streaming.models.audio_encoding import AudioEncoding
+from vocode.streaming.models.audio import AudioEncoding
 from vocode.streaming.models.message import BaseMessage
-
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    encode_as_wav,
-    tracer,
+from vocode.streaming.models.synthesizer import (
+    RIME_DEFAULT_REDUCE_LATENCY,
+    RIME_DEFAULT_SPEED_ALPHA,
+    RimeSynthesizerConfig,
 )
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
 
-from typing import Any, Optional
-import io
-import requests
+# TODO: [OSS] Remove call to internal library with Synthesizers refactor
 
-from vocode.streaming.models.synthesizer import RimeSynthesizerConfig, SynthesizerType
+# https://rime.ai/docs/quickstart
 
-from opentelemetry.context.context import Context
+WAV_HEADER_LENGTH = 44
 
-# https://rime.ai/docs/quickstart
+
+class RimeError(Exception):
+    pass
 
 
 class RimeSynthesizer(BaseSynthesizer[RimeSynthesizerConfig]):
     def __init__(
         self,
         synthesizer_config: RimeSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ):
-        super().__init__(synthesizer_config, aiohttp_session)
-        self.api_key = getenv("RIME_API_KEY")
+        super().__init__(synthesizer_config)
+
+        self.base_url = synthesizer_config.base_url
+        self.model_id = synthesizer_config.model_id
         self.speaker = synthesizer_config.speaker
+        self.speed_alpha = synthesizer_config.speed_alpha
         self.sampling_rate = synthesizer_config.sampling_rate
-        self.base_url = synthesizer_config.base_url
+        self.reduce_latency = synthesizer_config.reduce_latency
+        self.api_key = f"Bearer {getenv('RIME_API_KEY')}"
 
-    async def create_speech(
+    @classmethod
+    def get_voice_identifier(cls, synthesizer_config: RimeSynthesizerConfig):
+        return ":".join(
+            (
+                "rime",
+                synthesizer_config.speaker,
+                str(synthesizer_config.speed_alpha),
+                synthesizer_config.audio_encoding,
+            )
+        )
+
+    async def create_speech_uncached(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
+        self.total_chars += len(message.text)
         headers = {
-            "Authorization": f"Bearer {self.api_key}",
+            "Authorization": self.api_key,
             "Content-Type": "application/json",
         }
 
-        body = {
-            "text": message.text,
-            "speaker": self.speaker,
-            "samplingRate": self.sampling_rate,
-        }
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.RIME.value.split('_', 1)[-1]}.create_total",
-        )
-        async with self.aiohttp_session.post(
+        body = self.get_request_body(message.text)
+
+        async with self.async_requestor.get_session().post(
             self.base_url,
             headers=headers,
             json=body,
             timeout=aiohttp.ClientTimeout(total=15),
         ) as response:
             if not response.ok:
-                raise Exception(
-                    f"Rime API error: {response.status}, {await response.text()}"
-                )
-            data = await response.json()
-            create_speech_span.end()
-            convert_span = tracer.start_span(
-                f"synthesizer.{SynthesizerType.RIME.value.split('_', 1)[-1]}.convert",
+                raise RimeError(f"Rime API error: {response.status}, {await response.text()}")
+            data = json.loads(await response.text())
+
+            audio_content = data.get("audioContent")
+            output_bytes = base64.b64decode(audio_content)[WAV_HEADER_LENGTH:]
+
+            if self.synthesizer_config.audio_encoding == AudioEncoding.MULAW:
+                output_bytes = audioop.lin2ulaw(output_bytes, 2)
+
+            return SynthesisResult(
+                self._chunk_generator(output_bytes, chunk_size),
+                lambda seconds: self.get_message_cutoff_from_total_response_length(
+                    self.synthesizer_config, message, seconds, len(output_bytes)
+                ),
             )
 
-            audio_file = io.BytesIO(base64.b64decode(data.get("audioContent")))
+    @staticmethod
+    async def _chunk_generator(output_bytes, chunk_size):
+        for i in range(0, len(output_bytes), chunk_size):
+            if i + chunk_size > len(output_bytes):
+                yield SynthesisResult.ChunkResult(output_bytes[i:], True)
+            else:
+                yield SynthesisResult.ChunkResult(output_bytes[i : i + chunk_size], False)
 
-            result = self.create_synthesis_result_from_wav(
-                file=audio_file, message=message, chunk_size=chunk_size
+    async def get_chunks(
+        self,
+        headers: dict,
+        body: dict,
+        chunk_size: int,
+        chunk_queue: asyncio.Queue[Optional[bytes]],
+    ):
+        try:
+            async_client = self.async_requestor.get_client()
+            stream = await async_client.send(
+                async_client.build_request(
+                    "POST",
+                    self.base_url,
+                    headers=headers,
+                    json=body,
+                ),
+                stream=True,
             )
-            convert_span.end()
-            return result
+            if not stream.is_success:
+                error = await stream.aread()
+                raise RimeError(
+                    f"Rime API returned {stream.status_code} status code with the following details: {error.decode('utf-8')}"
+                )
+            async for chunk in stream.aiter_bytes(chunk_size):
+                chunk_queue.put_nowait(chunk)
+        except asyncio.CancelledError:
+            pass
+        finally:
+            chunk_queue.put_nowait(None)  # treated as sentinel
+
+    def get_request_body(self, text):
+        speed_alpha = self.speed_alpha if self.speed_alpha else RIME_DEFAULT_SPEED_ALPHA
+        reduce_latency = self.reduce_latency if self.reduce_latency else RIME_DEFAULT_REDUCE_LATENCY
+
+        body = {
+            "text": text,
+            "speaker": self.speaker,
+            "samplingRate": self.sampling_rate,
+            "speedAlpha": speed_alpha,
+            "reduceLatency": reduce_latency,
+        }
+
+        if self.model_id:
+            body["modelId"] = self.model_id
+
+        return body
diff --git a/vocode/streaming/synthesizer/stream_elements_synthesizer.py b/vocode/streaming/synthesizer/stream_elements_synthesizer.py
index b95a27ee28..3d656f5cce 100644
--- a/vocode/streaming/synthesizer/stream_elements_synthesizer.py
+++ b/vocode/streaming/synthesizer/stream_elements_synthesizer.py
@@ -1,23 +1,11 @@
 import io
+
 import aiohttp
 from pydub import AudioSegment
-import logging
-from typing import Optional
 
-import requests
-from vocode.streaming.agent.bot_sentiment_analyser import BotSentiment
 from vocode.streaming.models.message import BaseMessage
-from vocode.streaming.models.synthesizer import (
-    StreamElementsSynthesizerConfig,
-    SynthesizerType,
-)
-from vocode.streaming.synthesizer.base_synthesizer import (
-    BaseSynthesizer,
-    SynthesisResult,
-    tracer,
-)
-
-from opentelemetry.context.context import Context
+from vocode.streaming.models.synthesizer import StreamElementsSynthesizerConfig
+from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer, SynthesisResult
 
 
 class StreamElementsSynthesizer(BaseSynthesizer[StreamElementsSynthesizerConfig]):
@@ -26,35 +14,27 @@ class StreamElementsSynthesizer(BaseSynthesizer[StreamElementsSynthesizerConfig]
     def __init__(
         self,
         synthesizer_config: StreamElementsSynthesizerConfig,
-        logger: Optional[logging.Logger] = None,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ):
-        super().__init__(synthesizer_config, aiohttp_session)
+        super().__init__(synthesizer_config)
         self.voice = synthesizer_config.voice
 
     async def create_speech(
         self,
         message: BaseMessage,
         chunk_size: int,
-        bot_sentiment: Optional[BotSentiment] = None,
+        is_first_text_chunk: bool = False,
+        is_sole_text_chunk: bool = False,
     ) -> SynthesisResult:
         url_params = {
             "voice": self.voice,
             "text": message.text,
         }
-        create_speech_span = tracer.start_span(
-            f"synthesizer.{SynthesizerType.STREAM_ELEMENTS.value.split('_', 1)[-1]}.create_total",
-        )
-        async with self.aiohttp_session.get(
+        async with self.async_requestor.get_session().get(
             self.TTS_ENDPOINT,
             params=url_params,
             timeout=aiohttp.ClientTimeout(total=15),
         ) as response:
             read_response = await response.read()
-            create_speech_span.end()
-            convert_span = tracer.start_span(
-                f"synthesizer.{SynthesizerType.STREAM_ELEMENTS.value.split('_', 1)[-1]}.convert",
-            )
 
             # TODO: probably needs to be in a thread
             audio_segment: AudioSegment = AudioSegment.from_mp3(
@@ -64,9 +44,10 @@ async def create_speech(
             audio_segment.export(output_bytes_io, format="wav")  # type: ignore
 
             result = self.create_synthesis_result_from_wav(
+                synthesizer_config=self.synthesizer_config,
                 file=output_bytes_io,
                 message=message,
                 chunk_size=chunk_size,
             )
-            convert_span.end()
+
             return result
diff --git a/vocode/streaming/synthesizer/synthesizer_utils.py b/vocode/streaming/synthesizer/synthesizer_utils.py
new file mode 100644
index 0000000000..ac69633adf
--- /dev/null
+++ b/vocode/streaming/synthesizer/synthesizer_utils.py
@@ -0,0 +1,50 @@
+from typing import List
+
+
+def split_text(string_to_split: str, max_text_length: int) -> List[str]:
+    # Base case: if the string_to_split is less than or equal to max_text_length characters, return it as a single element array
+    if len(string_to_split) <= max_text_length:
+        return [string_to_split.strip()]
+
+    # Recursive case: find the index of the last sentence ender in the first max_text_length characters of the string_to_split
+    sentence_enders = [".", "!", "?"]
+    index = -1
+    for ender in sentence_enders:
+        i = string_to_split[:max_text_length].rfind(ender)
+        if i > index:
+            index = i
+
+    # If there is a sentence ender, split the string_to_split at that index plus one and strip any spaces from both parts
+    if index != -1:
+        first_part = string_to_split[: index + 1].strip()
+        second_part = string_to_split[index + 1 :].strip()
+
+    # If there is no sentence ender, find the index of the last comma in the first max_text_length characters of the string_to_split
+    else:
+        index = string_to_split[:max_text_length].rfind(",")
+        # If there is a comma, split the string_to_split at that index plus one and strip any spaces from both parts
+        if index != -1:
+            first_part = string_to_split[: index + 1].strip()
+            second_part = string_to_split[index + 1 :].strip()
+        # If there is no comma, find the index of the last space in the first max_text_length characters of the string_to_split
+        else:
+            index = string_to_split[:max_text_length].rfind(" ")
+            # If there is a space, split the string_to_split at that index and strip any spaces from both parts
+            if index != -1:
+                first_part = string_to_split[:index].strip()
+                second_part = string_to_split[index:].strip()
+
+            # If there is no space, split the string_to_split at max_text_length characters and strip any spaces from both parts
+            else:
+                first_part = string_to_split[:max_text_length].strip()
+                second_part = string_to_split[max_text_length:].strip()
+
+    # Append the first part to the result array
+    result = [first_part]
+
+    # Call the function recursively on the remaining part of the string_to_split and extend the result array with it, unless it is empty
+    if second_part != "":
+        result.extend(split_text(string_to_split=second_part, max_text_length=max_text_length))
+
+    # Return the result array
+    return result
diff --git a/vocode/streaming/telephony/client/abstract_telephony_client.py b/vocode/streaming/telephony/client/abstract_telephony_client.py
new file mode 100644
index 0000000000..2cdf92b84c
--- /dev/null
+++ b/vocode/streaming/telephony/client/abstract_telephony_client.py
@@ -0,0 +1,29 @@
+from abc import ABC, abstractmethod
+from typing import Dict, Optional
+
+from vocode.streaming.models.telephony import TelephonyProviderConfig
+
+
+class AbstractTelephonyClient(ABC):
+    def __init__(self, base_url: str):
+        self.base_url = base_url
+
+    @abstractmethod
+    def get_telephony_config(self) -> TelephonyProviderConfig:
+        pass
+
+    @abstractmethod
+    async def create_call(
+        self,
+        conversation_id: str,
+        to_phone: str,
+        from_phone: str,
+        record: bool = False,
+        digits: Optional[str] = None,
+        telephony_params: Optional[Dict[str, str]] = None,
+    ) -> str:  # returns identifier of the call on the telephony provider
+        pass
+
+    @abstractmethod
+    async def end_call(self, id) -> bool:
+        raise NotImplementedError
diff --git a/vocode/streaming/telephony/client/base_telephony_client.py b/vocode/streaming/telephony/client/base_telephony_client.py
deleted file mode 100644
index 157e6e9e57..0000000000
--- a/vocode/streaming/telephony/client/base_telephony_client.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from typing import Optional
-
-from vocode.streaming.models.telephony import BaseCallConfig
-
-
-class BaseTelephonyClient:
-    def __init__(self, base_url):
-        self.base_url = base_url
-
-    def get_telephony_config(self):
-        raise NotImplementedError
-
-    async def create_call(
-        self,
-        conversation_id: str,
-        to_phone: str,
-        from_phone: str,
-        record: bool = False,
-        digits: Optional[str] = None,
-    ) -> str:  # identifier of the call on the telephony provider
-        raise NotImplementedError
-
-    async def end_call(self, id) -> bool:
-        raise NotImplementedError
-
-    def validate_outbound_call(
-        self,
-        to_phone: str,
-        from_phone: str,
-        mobile_only: bool = True,
-    ):
-        raise NotImplementedError
diff --git a/vocode/streaming/telephony/client/twilio_client.py b/vocode/streaming/telephony/client/twilio_client.py
index 7325a2f871..5c8ad9819b 100644
--- a/vocode/streaming/telephony/client/twilio_client.py
+++ b/vocode/streaming/telephony/client/twilio_client.py
@@ -1,25 +1,38 @@
-from typing import Optional
-from twilio.rest import Client
+import os
+from typing import Dict, Optional
 
-from vocode.streaming.models.telephony import BaseCallConfig, TwilioConfig
-from vocode.streaming.telephony.client.base_telephony_client import BaseTelephonyClient
-from vocode.streaming.telephony.templater import Templater
+import aiohttp
+from loguru import logger
 
+from vocode.streaming.models.telephony import TwilioConfig
+from vocode.streaming.telephony.client.abstract_telephony_client import AbstractTelephonyClient
+from vocode.streaming.telephony.templater import get_connection_twiml
+from vocode.streaming.utils.async_requester import AsyncRequestor
 
-class TwilioClient(BaseTelephonyClient):
-    def __init__(self, base_url: str, twilio_config: TwilioConfig):
-        super().__init__(base_url)
-        self.twilio_config = twilio_config
-        # TODO: this is blocking
-        self.twilio_client = Client(twilio_config.account_sid, twilio_config.auth_token)
-        try:
-            # Test credentials
-            self.twilio_client.api.accounts(twilio_config.account_sid).fetch()
-        except Exception as e:
-            raise RuntimeError(
-                "Could not create Twilio client. Invalid credentials"
-            ) from e
-        self.templater = Templater()
+
+class TwilioBadRequestException(ValueError):
+    pass
+
+
+class TwilioException(ValueError):
+    pass
+
+
+class TwilioClient(AbstractTelephonyClient):
+    def __init__(
+        self,
+        base_url: str,
+        maybe_twilio_config: Optional[TwilioConfig] = None,
+    ):
+        self.twilio_config = maybe_twilio_config or TwilioConfig(
+            account_sid=os.environ["TWILIO_ACCOUNT_SID"],
+            auth_token=os.environ["TWILIO_AUTH_TOKEN"],
+        )
+        self.auth = aiohttp.BasicAuth(
+            login=self.twilio_config.account_sid,
+            password=self.twilio_config.auth_token,
+        )
+        super().__init__(base_url=base_url)
 
     def get_telephony_config(self):
         return self.twilio_config
@@ -29,48 +42,50 @@ async def create_call(
         conversation_id: str,
         to_phone: str,
         from_phone: str,
-        record: bool = False,
-        digits: Optional[str] = None,
+        record: bool = False,  # currently no-op
+        digits: Optional[str] = None,  # currently no-op
+        telephony_params: Optional[Dict[str, str]] = None,
     ) -> str:
-        # TODO: Make this async. This is blocking.
-        twiml = self.get_connection_twiml(conversation_id=conversation_id)
-        twilio_call = self.twilio_client.calls.create(
-            twiml=twiml.body.decode("utf-8"),
-            to=to_phone,
-            from_=from_phone,
-            send_digits=digits,
-            record=record,
-            **self.get_telephony_config().extra_params,
-        )
-        return twilio_call.sid
+        data = {
+            "Twiml": self.get_connection_twiml(conversation_id=conversation_id).body.decode(
+                "utf-8"
+            ),
+            "To": f"+{to_phone}",
+            "From": f"+{from_phone}",
+            **(telephony_params or {}),
+        }
+        if digits:
+            data["SendDigits"] = digits
+        async with AsyncRequestor().get_session().post(
+            f"https://api.twilio.com/2010-04-01/Accounts/{self.twilio_config.account_sid}/Calls.json",
+            auth=self.auth,
+            data=data,
+        ) as response:
+            if not response.ok:
+                if response.status == 400:
+                    logger.warning(
+                        f"Failed to create call: {response.status} {response.reason} {await response.json()}"
+                    )
+                    raise TwilioBadRequestException(
+                        "Telephony provider rejected call; this is usually due to a bad/malformed number. "
+                    )
+                else:
+                    raise TwilioException(
+                        f"Twilio failed to create call: {response.status} {response.reason}"
+                    )
+            response = await response.json()
+            return response["sid"]
 
     def get_connection_twiml(self, conversation_id: str):
-        return self.templater.get_connection_twiml(
-            base_url=self.base_url, call_id=conversation_id
-        )
+        return get_connection_twiml(call_id=conversation_id, base_url=self.base_url)
 
     async def end_call(self, twilio_sid):
-        # TODO: Make this async. This is blocking.
-        response = self.twilio_client.calls(twilio_sid).update(status="completed")
-        return response.status == "completed"
-
-    def validate_outbound_call(
-        self,
-        to_phone: str,
-        from_phone: str,
-        mobile_only: bool = True,
-    ):
-        if len(to_phone) < 8:
-            raise ValueError("Invalid 'to' phone")
-
-        if not mobile_only:
-            return
-        line_type_intelligence = (
-            self.twilio_client.lookups.v2.phone_numbers(to_phone)
-            .fetch(fields="line_type_intelligence")
-            .line_type_intelligence
-        )
-        if not line_type_intelligence or (
-            line_type_intelligence and line_type_intelligence["type"] != "mobile"
-        ):
-            raise ValueError("Can only call mobile phones")
+        async with AsyncRequestor().get_session().post(
+            f"https://api.twilio.com/2010-04-01/Accounts/{self.twilio_config.account_sid}/Calls/{twilio_sid}.json",
+            auth=self.auth,
+            data={"Status": "completed"},
+        ) as response:
+            if not response.ok:
+                raise RuntimeError(f"Failed to end call: {response.status} {response.reason}")
+            response = await response.json()
+            return response["status"] == "completed"
diff --git a/vocode/streaming/telephony/client/vonage_client.py b/vocode/streaming/telephony/client/vonage_client.py
index 66fec2a8ef..ffc70f7b31 100644
--- a/vocode/streaming/telephony/client/vonage_client.py
+++ b/vocode/streaming/telephony/client/vonage_client.py
@@ -1,61 +1,49 @@
+import os
 from typing import Any, Dict, List, Optional
-import aiohttp
-from vocode.streaming.models.telephony import VonageConfig
-from vocode.streaming.telephony.client.base_telephony_client import BaseTelephonyClient
-import vonage
 
+from vocode.streaming.models.telephony import VonageConfig
+from vocode.streaming.telephony.client.abstract_telephony_client import AbstractTelephonyClient
 from vocode.streaming.telephony.constants import VONAGE_CONTENT_TYPE
+from vocode.streaming.utils.async_requester import AsyncRequestor
+
 
+class VonageBadRequestException(ValueError):
+    pass
 
-class VonageClient(BaseTelephonyClient):
+
+class VonageClient(AbstractTelephonyClient):
     def __init__(
         self,
-        base_url,
-        vonage_config: VonageConfig,
-        aiohttp_session: Optional[aiohttp.ClientSession] = None,
+        base_url: str,
+        maybe_vonage_config: Optional[VonageConfig] = None,
+        record_calls: bool = False,
     ):
-        super().__init__(base_url)
-        self.vonage_config = vonage_config
-        self.client = vonage.Client(
-            key=vonage_config.api_key,
-            secret=vonage_config.api_secret,
-            application_id=vonage_config.application_id,
-            private_key=vonage_config.private_key,
+
+        import vonage
+
+        self.vonage = vonage
+
+        super().__init__(
+            base_url=base_url,
+        )
+        self.vonage_config = maybe_vonage_config or VonageConfig(
+            api_key=os.environ["VONAGE_API_KEY"],
+            api_secret=os.environ["VONAGE_API_SECRET"],
+            application_id=os.environ["VONAGE_APPLICATION_ID"],
+            private_key=os.environ["VONAGE_PRIVATE_KEY"],
+            record=record_calls,
+        )
+        # Vonage's sync client: only used for authentication helpers
+        self.client = self.vonage.Client(
+            key=self.vonage_config.api_key,
+            secret=self.vonage_config.api_secret,
+            application_id=self.vonage_config.application_id,
+            private_key=self.vonage_config.private_key,
         )
-        self.voice = vonage.Voice(self.client)
-        self.maybe_aiohttp_session = aiohttp_session
 
     def get_telephony_config(self):
         return self.vonage_config
 
-    async def create_vonage_call(
-        self, to_phone: str, from_phone: str, ncco: str, digits: Optional[str] = None
-    ) -> str:  # returns the Vonage UUID
-        aiohttp_session = self.maybe_aiohttp_session or aiohttp.ClientSession()
-        vonage_call_uuid: str
-        async with aiohttp_session.post(
-            f"https://api.nexmo.com/v1/calls",
-            json={
-                "to": [{"type": "phone", "number": to_phone, "dtmfAnswer": digits}],
-                "from": {"type": "phone", "number": from_phone},
-                "ncco": ncco,
-            },
-            headers={
-                "Authorization": f"Bearer {self.client._generate_application_jwt().decode()}"
-            },
-        ) as response:
-            if not response.ok:
-                raise RuntimeError(
-                    f"Failed to start call: {response.status} {response.reason}"
-                )
-            data = await response.json()
-            if not data["status"] == "started":
-                raise RuntimeError(f"Failed to start call: {response}")
-            vonage_call_uuid = data["uuid"]
-        if not self.maybe_aiohttp_session:
-            await aiohttp_session.close()
-        return vonage_call_uuid
-
     async def create_call(
         self,
         conversation_id: str,
@@ -63,63 +51,106 @@ async def create_call(
         from_phone: str,
         record: bool = False,
         digits: Optional[str] = None,
+        telephony_params: Optional[Dict[str, str]] = None,
     ) -> str:  # identifier of the call on the telephony provider
-        return await self.create_vonage_call(
+        return await self._create_vonage_call(
             to_phone,
             from_phone,
             self.create_call_ncco(
-                self.base_url, conversation_id, record, is_outbound=True
+                conversation_id=conversation_id,
+                record=record,
+                is_outbound=True,
             ),
             digits,
+            event_urls=[],
         )
 
-    @staticmethod
-    def create_call_ncco(base_url, conversation_id, record, is_outbound: bool = False):
+    async def end_call(self, id) -> bool:
+        async with AsyncRequestor().get_session().put(
+            f"https://api.nexmo.com/v1/calls/{id}",
+            json={"action": "hangup"},
+            headers={"Authorization": f"Bearer {self.client._generate_application_jwt().decode()}"},
+        ) as response:
+            if not response.ok:
+                raise RuntimeError(f"Failed to end call: {response.status} {response.reason}")
+        return True
+
+    async def update_call(self, vonage_uuid, new_ncco):
+        async with AsyncRequestor().get_session().put(
+            f"https://api.nexmo.com/v1/calls/{vonage_uuid}",
+            json={
+                "action": "transfer",
+                "destination": {"type": "ncco", "ncco": new_ncco},
+            },
+            headers={"Authorization": self.client._create_jwt_auth_string().decode()},
+        ) as response:
+            if not response.ok:
+                raise RuntimeError(f"Failed to update call: {response.status} {response.reason}")
+            return True
+
+    def create_call_ncco(
+        self,
+        conversation_id,
+        record,  # currently no-op
+        is_outbound: bool = False,
+    ):
         ncco: List[Dict[str, Any]] = []
-        if record:
-            ncco.append(
-                {
-                    "action": "record",
-                    "eventUrl": [f"https://{base_url}/recordings/{conversation_id}"],
-                }
-            )
         ncco.append(
             {
                 "action": "connect",
                 "endpoint": [
                     {
                         "type": "websocket",
-                        "uri": f"wss://{base_url}/connect_call/{conversation_id}",
+                        "uri": f"wss://{self.base_url}/connect_call/{conversation_id}",
                         "content-type": VONAGE_CONTENT_TYPE,
                         "headers": {},
                     }
                 ],
-            }
+            },
         )
         return ncco
 
-    async def end_call(self, id) -> bool:
-        aiohttp_session = self.maybe_aiohttp_session or aiohttp.ClientSession()
-        async with aiohttp_session.put(
-            f"https://api.nexmo.com/v1/calls/{id}",
-            json={"action": "hangup"},
-            headers={
-                "Authorization": f"Bearer {self.client._generate_application_jwt().decode()}"
+    async def _create_vonage_call(
+        self,
+        to_phone: str,
+        from_phone: str,
+        ncco: str,
+        digits: Optional[str] = None,
+        event_urls: List[str] = [],
+        **kwargs,
+    ) -> str:  # returns the Vonage UUID
+        vonage_call_uuid: str
+        async with AsyncRequestor().get_session().post(
+            "https://api.nexmo.com/v1/calls",
+            json={
+                "to": [{"type": "phone", "number": to_phone, "dtmfAnswer": digits}],
+                "from": {"type": "phone", "number": from_phone},
+                "ncco": ncco,
+                "event_url": event_urls,
+                **kwargs,
             },
+            headers={"Authorization": f"Bearer {self.client._generate_application_jwt().decode()}"},
         ) as response:
             if not response.ok:
-                raise RuntimeError(
-                    f"Failed to end call: {response.status} {response.reason}"
-                )
-        if not self.maybe_aiohttp_session:
-            await aiohttp_session.close()
-        return True
+                if response.status == 400:
+                    raise VonageBadRequestException(
+                        "Failed to start call; this is usually due to a bad/malformed number. "
+                        "If this persists, and you're sure that the number is well-formed, "
+                        "please contact us."
+                    )
+                raise RuntimeError(f"Failed to start call: {response.status} {response.reason}")
+            data = await response.json()
+            if not data["status"] == "started":
+                raise RuntimeError(f"Failed to start call: {response}")
+            vonage_call_uuid = data["uuid"]
+        return vonage_call_uuid
 
-    # TODO(EPD-186)
-    def validate_outbound_call(
-        self,
-        to_phone: str,
-        from_phone: str,
-        mobile_only: bool = True,
-    ):
-        pass
+    async def send_dtmf(self, vonage_uuid: str, digits: str):
+        async with AsyncRequestor().get_session().put(
+            f"https://api.nexmo.com/v1/calls/{vonage_uuid}/dtmf",
+            json={"digits": digits},
+            headers={"Authorization": self.client._create_jwt_auth_string().decode()},
+        ) as response:
+            if not response.ok:
+                raise RuntimeError(f"Failed to send DTMF: {response.status} {response.reason}")
+            await response.json()
diff --git a/vocode/streaming/telephony/config_manager/in_memory_config_manager.py b/vocode/streaming/telephony/config_manager/in_memory_config_manager.py
index 09d8ba94f9..d71b9a3516 100644
--- a/vocode/streaming/telephony/config_manager/in_memory_config_manager.py
+++ b/vocode/streaming/telephony/config_manager/in_memory_config_manager.py
@@ -1,8 +1,7 @@
 from typing import Optional
+
 from vocode.streaming.models.telephony import BaseCallConfig
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
-)
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
 
 
 class InMemoryConfigManager(BaseConfigManager):
diff --git a/vocode/streaming/telephony/config_manager/redis_config_manager.py b/vocode/streaming/telephony/config_manager/redis_config_manager.py
index af3d9a2fb7..33f4aabcf9 100644
--- a/vocode/streaming/telephony/config_manager/redis_config_manager.py
+++ b/vocode/streaming/telephony/config_manager/redis_config_manager.py
@@ -1,37 +1,32 @@
-import logging
-import os
 from typing import Optional
-from redis.asyncio import Redis
+
+from loguru import logger
+from redis import Redis
 
 from vocode.streaming.models.telephony import BaseCallConfig
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
-)
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
+from vocode.streaming.utils.redis import initialize_redis
 
 
 class RedisConfigManager(BaseConfigManager):
-    def __init__(self, logger: Optional[logging.Logger] = None):
-        self.redis: Redis = Redis(
-            host=os.environ.get("REDISHOST", "localhost"),
-            port=int(os.environ.get("REDISPORT", 6379)),
-            username=os.environ.get("REDISUSER", None),
-            password=os.environ.get("REDISPASSWORD", None),
-            db=0,
-            decode_responses=True,
-        )
-        self.logger = logger or logging.getLogger(__name__)
+    def __init__(self):
+        self.redis: Redis = initialize_redis()
+
+    async def _set_with_one_day_expiration(self, *args, **kwargs):
+        ONE_DAY_SECONDS = 60 * 60 * 24
+        return await self.redis.set(*args, **{**kwargs, "ex": ONE_DAY_SECONDS})
 
     async def save_config(self, conversation_id: str, config: BaseCallConfig):
-        self.logger.debug(f"Saving config for {conversation_id}")
-        await self.redis.set(conversation_id, config.json())
+        logger.debug(f"Saving config for {conversation_id}")
+        await self._set_with_one_day_expiration(conversation_id, config.json())
 
     async def get_config(self, conversation_id) -> Optional[BaseCallConfig]:
-        self.logger.debug(f"Getting config for {conversation_id}")
-        raw_config = await self.redis.get(conversation_id)
+        logger.debug(f"Getting config for {conversation_id}")
+        raw_config = await self.redis.get(conversation_id)  # type: ignore
         if raw_config:
             return BaseCallConfig.parse_raw(raw_config)
         return None
 
     async def delete_config(self, conversation_id):
-        self.logger.debug(f"Deleting config for {conversation_id}")
+        logger.debug(f"Deleting config for {conversation_id}")
         await self.redis.delete(conversation_id)
diff --git a/vocode/streaming/telephony/constants.py b/vocode/streaming/telephony/constants.py
index c9647357fb..34c1766fc6 100644
--- a/vocode/streaming/telephony/constants.py
+++ b/vocode/streaming/telephony/constants.py
@@ -1,11 +1,13 @@
-from vocode.streaming.models.audio_encoding import AudioEncoding
+from vocode.streaming.models.audio import AudioEncoding, SamplingRate
 
 # TODO(EPD-186): namespace as Twilio
-DEFAULT_SAMPLING_RATE = 8000
+DEFAULT_SAMPLING_RATE: int = SamplingRate.RATE_8000.value
 DEFAULT_AUDIO_ENCODING = AudioEncoding.MULAW
 DEFAULT_CHUNK_SIZE = 20 * 160
+MULAW_SILENCE_BYTE = b"\xff"
 
-VONAGE_SAMPLING_RATE = 16000
+VONAGE_SAMPLING_RATE: int = SamplingRate.RATE_16000.value
 VONAGE_AUDIO_ENCODING = AudioEncoding.LINEAR16
 VONAGE_CHUNK_SIZE = 640  # 20ms at 16kHz with 16bit samples
 VONAGE_CONTENT_TYPE = "audio/l16;rate=16000"
+PCM_SILENCE_BYTE = b"\x00"
diff --git a/vocode/streaming/telephony/conversation/call.py b/vocode/streaming/telephony/conversation/abstract_phone_conversation.py
similarity index 54%
rename from vocode/streaming/telephony/conversation/call.py
rename to vocode/streaming/telephony/conversation/abstract_phone_conversation.py
index 37fb442738..cf876a1806 100644
--- a/vocode/streaming/telephony/conversation/call.py
+++ b/vocode/streaming/telephony/conversation/abstract_phone_conversation.py
@@ -1,39 +1,40 @@
+from abc import abstractmethod
+from typing import Literal, Optional, TypeVar, Union
+
 from fastapi import WebSocket
-from enum import Enum
-import logging
-from typing import Optional, TypeVar, Union
-from vocode.streaming.agent.factory import AgentFactory
+from loguru import logger
+
+from vocode import conversation_id as ctx_conversation_id
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
 from vocode.streaming.models.agent import AgentConfig
 from vocode.streaming.models.events import PhoneCallEndedEvent
-from vocode.streaming.output_device.vonage_output_device import VonageOutputDevice
-
-from vocode.streaming.streaming_conversation import StreamingConversation
+from vocode.streaming.models.synthesizer import SynthesizerConfig
+from vocode.streaming.models.telephony import PhoneCallDirection
+from vocode.streaming.models.transcriber import TranscriberConfig
 from vocode.streaming.output_device.twilio_output_device import TwilioOutputDevice
-from vocode.streaming.models.synthesizer import (
-    SynthesizerConfig,
-)
-from vocode.streaming.models.transcriber import (
-    TranscriberConfig,
-)
-from vocode.streaming.synthesizer.factory import SynthesizerFactory
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
-)
-from vocode.streaming.telephony.constants import DEFAULT_SAMPLING_RATE
+from vocode.streaming.output_device.vonage_output_device import VonageOutputDevice
 from vocode.streaming.streaming_conversation import StreamingConversation
-from vocode.streaming.transcriber.factory import TranscriberFactory
-from vocode.streaming.utils.events_manager import EventsManager
-from vocode.streaming.utils.conversation_logger_adapter import wrap_logger
+from vocode.streaming.synthesizer.abstract_factory import AbstractSynthesizerFactory
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
+from vocode.streaming.transcriber.abstract_factory import AbstractTranscriberFactory
 from vocode.streaming.utils import create_conversation_id
+from vocode.streaming.utils.events_manager import EventsManager
 
 TelephonyOutputDeviceType = TypeVar(
     "TelephonyOutputDeviceType", bound=Union[TwilioOutputDevice, VonageOutputDevice]
 )
 
+LOW_INTERRUPT_SENSITIVITY_THRESHOLD = 0.9
+
+TelephonyProvider = Literal["twilio", "vonage"]
+
+
+class AbstractPhoneConversation(StreamingConversation[TelephonyOutputDeviceType]):
+    telephony_provider: TelephonyProvider
 
-class Call(StreamingConversation[TelephonyOutputDeviceType]):
     def __init__(
         self,
+        direction: PhoneCallDirection,
         from_phone: str,
         to_phone: str,
         base_url: str,
@@ -42,42 +43,40 @@ def __init__(
         agent_config: AgentConfig,
         transcriber_config: TranscriberConfig,
         synthesizer_config: SynthesizerConfig,
+        agent_factory: AbstractAgentFactory,
+        transcriber_factory: AbstractTranscriberFactory,
+        synthesizer_factory: AbstractSynthesizerFactory,
         conversation_id: Optional[str] = None,
-        transcriber_factory: TranscriberFactory = TranscriberFactory(),
-        agent_factory: AgentFactory = AgentFactory(),
-        synthesizer_factory: SynthesizerFactory = SynthesizerFactory(),
         events_manager: Optional[EventsManager] = None,
-        logger: Optional[logging.Logger] = None,
+        speed_coefficient: float = 1.0,
     ):
         conversation_id = conversation_id or create_conversation_id()
-        logger = wrap_logger(
-            logger or logging.getLogger(__name__),
-            conversation_id=conversation_id,
-        )
+        ctx_conversation_id.set(conversation_id)
 
+        self.direction = direction
         self.from_phone = from_phone
         self.to_phone = to_phone
         self.base_url = base_url
-        self.config_manager = config_manager
         super().__init__(
             output_device,
-            transcriber_factory.create_transcriber(transcriber_config, logger=logger),
-            agent_factory.create_agent(agent_config, logger=logger),
-            synthesizer_factory.create_synthesizer(synthesizer_config, logger=logger),
+            transcriber_factory.create_transcriber(transcriber_config),
+            agent_factory.create_agent(agent_config),
+            synthesizer_factory.create_synthesizer(synthesizer_config),
             conversation_id=conversation_id,
-            per_chunk_allowance_seconds=0.01,
             events_manager=events_manager,
-            logger=logger,
+            speed_coefficient=speed_coefficient,
         )
+        self.config_manager = config_manager
 
     def attach_ws(self, ws: WebSocket):
-        self.logger.debug("Trying to attach WS to outbound call")
+        logger.debug("Trying to attach WS to outbound call")
         self.output_device.ws = ws
-        self.logger.debug("Attached WS to outbound call")
+        logger.debug("Attached WS to outbound call")
 
+    @abstractmethod
     async def attach_ws_and_start(self, ws: WebSocket):
-        raise NotImplementedError
+        pass
 
-    async def tear_down(self):
+    async def terminate(self):
         self.events_manager.publish_event(PhoneCallEndedEvent(conversation_id=self.id))
-        await self.terminate()
+        await super().terminate()
diff --git a/vocode/streaming/telephony/conversation/outbound_call.py b/vocode/streaming/telephony/conversation/outbound_call.py
index 88bc77ccb5..5570ebdf7e 100644
--- a/vocode/streaming/telephony/conversation/outbound_call.py
+++ b/vocode/streaming/telephony/conversation/outbound_call.py
@@ -1,27 +1,21 @@
-import logging
-from typing import Optional, Union
-from vocode import getenv
+from typing import Dict, Optional
+
+from loguru import logger
 
 from vocode.streaming.models.agent import AgentConfig
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.models.synthesizer import (
-    SynthesizerConfig,
-)
+from vocode.streaming.models.synthesizer import SynthesizerConfig
 from vocode.streaming.models.telephony import (
+    TelephonyConfig,
     TwilioCallConfig,
     TwilioConfig,
     VonageCallConfig,
     VonageConfig,
 )
-from vocode.streaming.models.transcriber import (
-    TranscriberConfig,
-)
-from vocode.streaming.telephony.client.base_telephony_client import BaseTelephonyClient
+from vocode.streaming.models.transcriber import TranscriberConfig
+from vocode.streaming.telephony.client.abstract_telephony_client import AbstractTelephonyClient
 from vocode.streaming.telephony.client.twilio_client import TwilioClient
 from vocode.streaming.telephony.client.vonage_client import VonageClient
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
-)
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
 from vocode.streaming.utils import create_conversation_id
 
 
@@ -33,13 +27,12 @@ def __init__(
         from_phone: str,
         config_manager: BaseConfigManager,
         agent_config: AgentConfig,
-        twilio_config: Optional[TwilioConfig] = None,
-        vonage_config: Optional[VonageConfig] = None,
+        telephony_config: TelephonyConfig,
+        telephony_params: Optional[Dict[str, str]] = None,
         transcriber_config: Optional[TranscriberConfig] = None,
         synthesizer_config: Optional[SynthesizerConfig] = None,
         conversation_id: Optional[str] = None,
-        logger: Optional[logging.Logger] = None,
-        mobile_only: bool = True,
+        sentry_tags: Dict[str, str] = {},
         digits: Optional[
             str
         ] = None,  # Keys to press when the call connects, see send_digits https://www.twilio.com/docs/voice/api/call-resource#create-a-call-resource
@@ -47,52 +40,33 @@ def __init__(
     ):
         self.base_url = base_url
         self.to_phone = to_phone
-        self.digits = digits
         self.from_phone = from_phone
-        self.mobile_only = mobile_only
         self.config_manager = config_manager
         self.agent_config = agent_config
         self.conversation_id = conversation_id or create_conversation_id()
-        self.logger = logger or logging.getLogger(__name__)
-        self.twilio_config = twilio_config
-        self.vonage_config = vonage_config
-        if not self.twilio_config and not self.vonage_config:
-            self.logger.debug(
-                "No telephony config provided, defaulting to Twilio env vars"
-            )
-            self.twilio_config = TwilioConfig(
-                account_sid=getenv("TWILIO_ACCOUNT_SID"),
-                auth_token=getenv("TWILIO_AUTH_TOKEN"),
-            )
+        self.telephony_config = telephony_config
+        self.telephony_params = telephony_params or {}
         self.telephony_client = self.create_telephony_client()
-        assert not output_to_speaker or isinstance(
-            self.telephony_client, VonageClient
-        ), "Output to speaker is only supported for Vonage calls"
         self.transcriber_config = self.create_transcriber_config(transcriber_config)
         self.synthesizer_config = self.create_synthesizer_config(synthesizer_config)
-        self.telephony_id = None
         self.output_to_speaker = output_to_speaker
+        self.sentry_tags = sentry_tags
+        self.digits = digits
 
-    def create_telephony_client(self) -> BaseTelephonyClient:
-        if self.twilio_config is not None:
-            return TwilioClient(
-                base_url=self.base_url, twilio_config=self.twilio_config
-            )
-        elif self.vonage_config is not None:
-            return VonageClient(
-                base_url=self.base_url, vonage_config=self.vonage_config
-            )
-        else:
-            raise ValueError("No telephony config provided")
+    def create_telephony_client(self) -> AbstractTelephonyClient:
+        if isinstance(self.telephony_config, TwilioConfig):
+            return TwilioClient(base_url=self.base_url, maybe_twilio_config=self.telephony_config)
+        elif isinstance(self.telephony_config, VonageConfig):
+            return VonageClient(base_url=self.base_url, maybe_vonage_config=self.telephony_config)
 
     def create_transcriber_config(
         self, transcriber_config_override: Optional[TranscriberConfig]
     ) -> TranscriberConfig:
         if transcriber_config_override is not None:
             return transcriber_config_override
-        if self.twilio_config is not None:
+        if isinstance(self.telephony_config, TwilioConfig):
             return TwilioCallConfig.default_transcriber_config()
-        elif self.vonage_config is not None:
+        elif isinstance(self.telephony_config, VonageConfig):
             return VonageCallConfig.default_transcriber_config()
         else:
             raise ValueError("No telephony config provided")
@@ -102,25 +76,21 @@ def create_synthesizer_config(
     ) -> SynthesizerConfig:
         if synthesizer_config_override is not None:
             return synthesizer_config_override
-        if self.twilio_config is not None:
+        if isinstance(self.telephony_config, TwilioConfig):
             return TwilioCallConfig.default_synthesizer_config()
-        elif self.vonage_config is not None:
+        elif isinstance(self.telephony_config, VonageConfig):
             return VonageCallConfig.default_synthesizer_config()
         else:
             raise ValueError("No telephony config provided")
 
     async def start(self):
-        self.logger.debug("Starting outbound call")
-        self.telephony_client.validate_outbound_call(
-            to_phone=self.to_phone,
-            from_phone=self.from_phone,
-            mobile_only=self.mobile_only,
-        )
+        logger.debug("Starting outbound call")
         self.telephony_id = await self.telephony_client.create_call(
             conversation_id=self.conversation_id,
             to_phone=self.to_phone,
             from_phone=self.from_phone,
-            record=self.telephony_client.get_telephony_config().record,
+            record=self.telephony_client.get_telephony_config().record,  # note twilio does not use this
+            telephony_params=self.telephony_params,
             digits=self.digits,
         )
         if isinstance(self.telephony_client, TwilioClient):
@@ -132,6 +102,9 @@ async def start(self):
                 twilio_sid=self.telephony_id,
                 from_phone=self.from_phone,
                 to_phone=self.to_phone,
+                sentry_tags=self.sentry_tags,
+                telephony_params=self.telephony_params,
+                direction="outbound",
             )
         elif isinstance(self.telephony_client, VonageClient):
             call_config = VonageCallConfig(
@@ -142,7 +115,10 @@ async def start(self):
                 vonage_uuid=self.telephony_id,
                 from_phone=self.from_phone,
                 to_phone=self.to_phone,
-                output_to_speaker=self.output_to_speaker,
+                output_to_speaker=False,
+                sentry_tags=self.sentry_tags,
+                telephony_params=self.telephony_params,
+                direction="outbound",
             )
         else:
             raise ValueError("Unknown telephony client")
diff --git a/vocode/streaming/telephony/conversation/twilio_call.py b/vocode/streaming/telephony/conversation/twilio_call.py
deleted file mode 100644
index 6d436f30bd..0000000000
--- a/vocode/streaming/telephony/conversation/twilio_call.py
+++ /dev/null
@@ -1,161 +0,0 @@
-import asyncio
-from fastapi import WebSocket
-import base64
-from enum import Enum
-import json
-import logging
-from typing import Optional
-from vocode import getenv
-from vocode.streaming.agent.factory import AgentFactory
-from vocode.streaming.models.agent import AgentConfig
-from vocode.streaming.models.events import PhoneCallConnectedEvent
-
-from vocode.streaming.models.telephony import TwilioConfig
-from vocode.streaming.output_device.twilio_output_device import TwilioOutputDevice
-from vocode.streaming.models.synthesizer import (
-    SynthesizerConfig,
-)
-from vocode.streaming.models.transcriber import (
-    TranscriberConfig,
-)
-from vocode.streaming.synthesizer.factory import SynthesizerFactory
-from vocode.streaming.telephony.client.twilio_client import TwilioClient
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
-)
-from vocode.streaming.telephony.conversation.call import Call
-from vocode.streaming.transcriber.factory import TranscriberFactory
-from vocode.streaming.utils.events_manager import EventsManager
-from vocode.streaming.utils.state_manager import TwilioCallStateManager
-
-
-class PhoneCallWebsocketAction(Enum):
-    CLOSE_WEBSOCKET = 1
-
-
-class TwilioCall(Call[TwilioOutputDevice]):
-    def __init__(
-        self,
-        from_phone: str,
-        to_phone: str,
-        base_url: str,
-        config_manager: BaseConfigManager,
-        agent_config: AgentConfig,
-        transcriber_config: TranscriberConfig,
-        synthesizer_config: SynthesizerConfig,
-        twilio_sid: str,
-        twilio_config: Optional[TwilioConfig] = None,
-        conversation_id: Optional[str] = None,
-        transcriber_factory: TranscriberFactory = TranscriberFactory(),
-        agent_factory: AgentFactory = AgentFactory(),
-        synthesizer_factory: SynthesizerFactory = SynthesizerFactory(),
-        events_manager: Optional[EventsManager] = None,
-        logger: Optional[logging.Logger] = None,
-    ):
-        super().__init__(
-            from_phone,
-            to_phone,
-            base_url,
-            config_manager,
-            TwilioOutputDevice(),
-            agent_config,
-            transcriber_config,
-            synthesizer_config,
-            conversation_id=conversation_id,
-            events_manager=events_manager,
-            transcriber_factory=transcriber_factory,
-            agent_factory=agent_factory,
-            synthesizer_factory=synthesizer_factory,
-            logger=logger,
-        )
-        self.base_url = base_url
-        self.config_manager = config_manager
-        self.twilio_config = twilio_config or TwilioConfig(
-            account_sid=getenv("TWILIO_ACCOUNT_SID"),
-            auth_token=getenv("TWILIO_AUTH_TOKEN"),
-        )
-        self.telephony_client = TwilioClient(
-            base_url=base_url, twilio_config=self.twilio_config
-        )
-        self.twilio_sid = twilio_sid
-        self.latest_media_timestamp = 0
-
-    def create_state_manager(self) -> TwilioCallStateManager:
-        return TwilioCallStateManager(self)
-
-    async def attach_ws_and_start(self, ws: WebSocket):
-        super().attach_ws(ws)
-
-        twilio_call_ref = self.telephony_client.twilio_client.calls(self.twilio_sid)
-        twilio_call = twilio_call_ref.fetch()
-
-        if self.twilio_config.record:
-            recordings_create_params = (
-                self.twilio_config.extra_params.get("recordings_create_params")
-                if self.twilio_config.extra_params
-                else None
-            )
-            recording = (
-                twilio_call_ref.recordings.create(**recordings_create_params)
-                if recordings_create_params
-                else twilio_call_ref.recordings.create()
-            )
-            self.logger.info(f"Recording: {recording.sid}")
-
-        if twilio_call.answered_by in ("machine_start", "fax"):
-            self.logger.info(f"Call answered by {twilio_call.answered_by}")
-            twilio_call.update(status="completed")
-        else:
-            await self.wait_for_twilio_start(ws)
-            await super().start()
-            self.events_manager.publish_event(
-                PhoneCallConnectedEvent(
-                    conversation_id=self.id,
-                    to_phone_number=self.to_phone,
-                    from_phone_number=self.from_phone,
-                )
-            )
-            while self.active:
-                message = await ws.receive_text()
-                response = await self.handle_ws_message(message)
-                if response == PhoneCallWebsocketAction.CLOSE_WEBSOCKET:
-                    break
-        await self.config_manager.delete_config(self.id)
-        await self.tear_down()
-
-    async def wait_for_twilio_start(self, ws: WebSocket):
-        assert isinstance(self.output_device, TwilioOutputDevice)
-        while True:
-            message = await ws.receive_text()
-            if not message:
-                continue
-            data = json.loads(message)
-            if data["event"] == "start":
-                self.logger.debug(
-                    f"Media WS: Received event '{data['event']}': {message}"
-                )
-                self.output_device.stream_sid = data["start"]["streamSid"]
-                break
-
-    async def handle_ws_message(self, message) -> Optional[PhoneCallWebsocketAction]:
-        if message is None:
-            return PhoneCallWebsocketAction.CLOSE_WEBSOCKET
-
-        data = json.loads(message)
-        if data["event"] == "media":
-            media = data["media"]
-            chunk = base64.b64decode(media["payload"])
-            if self.latest_media_timestamp + 20 < int(media["timestamp"]):
-                bytes_to_fill = 8 * (
-                    int(media["timestamp"]) - (self.latest_media_timestamp + 20)
-                )
-                self.logger.debug(f"Filling {bytes_to_fill} bytes of silence")
-                # NOTE: 0xff is silence for mulaw audio
-                self.receive_audio(b"\xff" * bytes_to_fill)
-            self.latest_media_timestamp = int(media["timestamp"])
-            self.receive_audio(chunk)
-        elif data["event"] == "stop":
-            self.logger.debug(f"Media WS: Received event 'stop': {message}")
-            self.logger.debug("Stopping...")
-            return PhoneCallWebsocketAction.CLOSE_WEBSOCKET
-        return None
diff --git a/vocode/streaming/telephony/conversation/twilio_phone_conversation.py b/vocode/streaming/telephony/conversation/twilio_phone_conversation.py
new file mode 100644
index 0000000000..267e37e927
--- /dev/null
+++ b/vocode/streaming/telephony/conversation/twilio_phone_conversation.py
@@ -0,0 +1,138 @@
+import base64
+import json
+import os
+from enum import Enum
+from typing import Optional
+
+from fastapi import WebSocket
+from loguru import logger
+
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.models.agent import AgentConfig
+from vocode.streaming.models.events import PhoneCallConnectedEvent
+from vocode.streaming.models.synthesizer import SynthesizerConfig
+from vocode.streaming.models.telephony import PhoneCallDirection, TwilioConfig
+from vocode.streaming.models.transcriber import TranscriberConfig
+from vocode.streaming.output_device.twilio_output_device import (
+    ChunkFinishedMarkMessage,
+    TwilioOutputDevice,
+)
+from vocode.streaming.synthesizer.abstract_factory import AbstractSynthesizerFactory
+from vocode.streaming.telephony.client.twilio_client import TwilioClient
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
+from vocode.streaming.telephony.conversation.abstract_phone_conversation import (
+    AbstractPhoneConversation,
+)
+from vocode.streaming.transcriber.abstract_factory import AbstractTranscriberFactory
+from vocode.streaming.utils.events_manager import EventsManager
+from vocode.streaming.utils.state_manager import TwilioPhoneConversationStateManager
+
+
+class TwilioPhoneConversationWebsocketAction(Enum):
+    CLOSE_WEBSOCKET = 1
+
+
+class TwilioPhoneConversation(AbstractPhoneConversation[TwilioOutputDevice]):
+    telephony_provider = "twilio"
+
+    def __init__(
+        self,
+        direction: PhoneCallDirection,
+        from_phone: str,
+        to_phone: str,
+        base_url: str,
+        config_manager: BaseConfigManager,
+        agent_config: AgentConfig,
+        transcriber_config: TranscriberConfig,
+        synthesizer_config: SynthesizerConfig,
+        twilio_sid: str,
+        agent_factory: AbstractAgentFactory,
+        transcriber_factory: AbstractTranscriberFactory,
+        synthesizer_factory: AbstractSynthesizerFactory,
+        twilio_config: Optional[TwilioConfig] = None,
+        conversation_id: Optional[str] = None,
+        events_manager: Optional[EventsManager] = None,
+        record_call: bool = False,
+        speed_coefficient: float = 1.0,
+        noise_suppression: bool = False,  # is currently a no-op
+    ):
+        super().__init__(
+            direction=direction,
+            from_phone=from_phone,
+            to_phone=to_phone,
+            base_url=base_url,
+            config_manager=config_manager,
+            output_device=TwilioOutputDevice(),
+            agent_config=agent_config,
+            transcriber_config=transcriber_config,
+            synthesizer_config=synthesizer_config,
+            conversation_id=conversation_id,
+            events_manager=events_manager,
+            transcriber_factory=transcriber_factory,
+            agent_factory=agent_factory,
+            synthesizer_factory=synthesizer_factory,
+            speed_coefficient=speed_coefficient,
+        )
+        self.config_manager = config_manager
+        self.twilio_config = twilio_config or TwilioConfig(
+            account_sid=os.environ["TWILIO_ACCOUNT_SID"],
+            auth_token=os.environ["TWILIO_AUTH_TOKEN"],
+        )
+        self.telephony_client = TwilioClient(
+            base_url=self.base_url, maybe_twilio_config=self.twilio_config
+        )
+        self.twilio_sid = twilio_sid
+        self.record_call = record_call
+
+    def create_state_manager(self) -> TwilioPhoneConversationStateManager:
+        return TwilioPhoneConversationStateManager(self)
+
+    async def attach_ws_and_start(self, ws: WebSocket):
+        super().attach_ws(ws)
+
+        await self._wait_for_twilio_start(ws)
+        await self.start()
+        self.events_manager.publish_event(
+            PhoneCallConnectedEvent(
+                conversation_id=self.id,
+                to_phone_number=self.to_phone,
+                from_phone_number=self.from_phone,
+            )
+        )
+        while self.is_active():
+            message = await ws.receive_text()
+            response = await self._handle_ws_message(message)
+            if response == TwilioPhoneConversationWebsocketAction.CLOSE_WEBSOCKET:
+                break
+        await ws.close(code=1000, reason=None)
+        await self.terminate()
+
+    async def _wait_for_twilio_start(self, ws: WebSocket):
+        assert isinstance(self.output_device, TwilioOutputDevice)
+        while True:
+            message = await ws.receive_text()
+            if not message:
+                continue
+            data = json.loads(message)
+            if data["event"] == "start":
+                logger.debug(f"Media WS: Received event '{data['event']}': {message}")
+                self.output_device.stream_sid = data["start"]["streamSid"]
+                break
+
+    async def _handle_ws_message(self, message) -> Optional[TwilioPhoneConversationWebsocketAction]:
+        if message is None:
+            return TwilioPhoneConversationWebsocketAction.CLOSE_WEBSOCKET
+
+        data = json.loads(message)
+        if data["event"] == "media":
+            media = data["media"]
+            chunk = base64.b64decode(media["payload"])
+            self.receive_audio(chunk)
+        if data["event"] == "mark":
+            chunk_id = data["mark"]["name"]
+            self.output_device.enqueue_mark_message(ChunkFinishedMarkMessage(chunk_id=chunk_id))
+        elif data["event"] == "stop":
+            logger.debug(f"Media WS: Received event 'stop': {message}")
+            logger.debug("Stopping...")
+            return TwilioPhoneConversationWebsocketAction.CLOSE_WEBSOCKET
+        return None
diff --git a/vocode/streaming/telephony/conversation/vonage_call.py b/vocode/streaming/telephony/conversation/vonage_call.py
deleted file mode 100644
index 251c39950e..0000000000
--- a/vocode/streaming/telephony/conversation/vonage_call.py
+++ /dev/null
@@ -1,131 +0,0 @@
-from fastapi import WebSocket, WebSocketDisconnect
-import logging
-from typing import Optional
-from vocode import getenv
-from vocode.streaming.agent.factory import AgentFactory
-from vocode.streaming.models.agent import AgentConfig
-from vocode.streaming.models.events import PhoneCallConnectedEvent, PhoneCallEndedEvent
-from vocode.streaming.output_device.vonage_output_device import VonageOutputDevice
-
-from vocode.streaming.models.telephony import VonageConfig
-from vocode.streaming.models.synthesizer import (
-    SynthesizerConfig,
-)
-from vocode.streaming.models.transcriber import (
-    TranscriberConfig,
-)
-from vocode.streaming.synthesizer.factory import SynthesizerFactory
-from vocode.streaming.telephony.client.vonage_client import VonageClient
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
-)
-from vocode.streaming.telephony.conversation.call import Call
-from vocode.streaming.transcriber.factory import TranscriberFactory
-from vocode.streaming.utils.events_manager import EventsManager
-
-from vocode.streaming.output_device.speaker_output import SpeakerOutput
-from vocode.streaming.telephony.constants import VONAGE_CHUNK_SIZE, VONAGE_SAMPLING_RATE
-from vocode.streaming.utils.state_manager import (
-    ConversationStateManager,
-    VonageCallStateManager,
-)
-
-
-class VonageCall(Call[VonageOutputDevice]):
-    def __init__(
-        self,
-        from_phone: str,
-        to_phone: str,
-        base_url: str,
-        config_manager: BaseConfigManager,
-        agent_config: AgentConfig,
-        transcriber_config: TranscriberConfig,
-        synthesizer_config: SynthesizerConfig,
-        vonage_uuid: str,
-        vonage_config: Optional[VonageConfig] = None,
-        conversation_id: Optional[str] = None,
-        transcriber_factory: TranscriberFactory = TranscriberFactory(),
-        agent_factory: AgentFactory = AgentFactory(),
-        synthesizer_factory: SynthesizerFactory = SynthesizerFactory(),
-        events_manager: Optional[EventsManager] = None,
-        output_to_speaker: bool = False,
-        logger: Optional[logging.Logger] = None,
-    ):
-        super().__init__(
-            from_phone,
-            to_phone,
-            base_url,
-            config_manager,
-            VonageOutputDevice(output_to_speaker=output_to_speaker),
-            agent_config,
-            transcriber_config,
-            synthesizer_config,
-            conversation_id=conversation_id,
-            events_manager=events_manager,
-            transcriber_factory=transcriber_factory,
-            agent_factory=agent_factory,
-            synthesizer_factory=synthesizer_factory,
-            logger=logger,
-        )
-        self.output_to_speaker = output_to_speaker
-        self.base_url = base_url
-        self.config_manager = config_manager
-        self.vonage_config = vonage_config or VonageConfig(
-            api_key=getenv("VONAGE_API_KEY"),
-            api_secret=getenv("VONAGE_API_SECRET"),
-            application_id=getenv("VONAGE_APPLICATION_ID"),
-            private_key=getenv("VONAGE_PRIVATE_KEY"),
-        )
-        self.telephony_client = VonageClient(
-            base_url=base_url, vonage_config=self.vonage_config
-        )
-        self.vonage_uuid = vonage_uuid
-        if output_to_speaker:
-            self.output_speaker = SpeakerOutput.from_default_device(
-                sampling_rate=VONAGE_SAMPLING_RATE, blocksize=VONAGE_CHUNK_SIZE // 2
-            )
-
-    def create_state_manager(self) -> VonageCallStateManager:
-        return VonageCallStateManager(self)
-
-    # TODO(EPD-186) - make this function async and use aiohttp with the vonage client
-    def send_dtmf(self, digits: str):
-        self.telephony_client.voice.send_dtmf(self.vonage_uuid, {"digits": digits})
-
-    async def attach_ws_and_start(self, ws: WebSocket):
-        # start message
-        await ws.receive()
-        self.logger.debug("Trying to attach WS to outbound call")
-        self.output_device.ws = ws
-        self.logger.debug("Attached WS to outbound call")
-
-        await super().start()
-        self.events_manager.publish_event(
-            PhoneCallConnectedEvent(
-                conversation_id=self.id,
-                to_phone_number=self.to_phone,
-                from_phone_number=self.from_phone,
-            )
-        )
-        disconnected = False
-        while self.active:
-            try:
-                chunk = await ws.receive_bytes()
-                self.receive_audio(chunk)
-            except WebSocketDisconnect:
-                self.logger.debug("Websocket disconnected")
-                disconnected = True
-                break
-        if not disconnected:
-            await ws.close()
-        await self.config_manager.delete_config(self.id)
-        await self.tear_down()
-
-    def receive_audio(self, chunk: bytes):
-        super().receive_audio(chunk)
-        if self.output_to_speaker:
-            self.output_speaker.consume_nonblocking(chunk)
-
-    async def tear_down(self):
-        self.events_manager.publish_event(PhoneCallEndedEvent(conversation_id=self.id))
-        await self.terminate()
diff --git a/vocode/streaming/telephony/conversation/vonage_phone_conversation.py b/vocode/streaming/telephony/conversation/vonage_phone_conversation.py
new file mode 100644
index 0000000000..faa259a6c8
--- /dev/null
+++ b/vocode/streaming/telephony/conversation/vonage_phone_conversation.py
@@ -0,0 +1,138 @@
+import os
+from typing import Optional
+
+import numpy as np
+from fastapi import WebSocket, WebSocketDisconnect
+from loguru import logger
+
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.models.agent import AgentConfig
+from vocode.streaming.models.events import PhoneCallConnectedEvent
+from vocode.streaming.models.synthesizer import SynthesizerConfig
+from vocode.streaming.models.telephony import PhoneCallDirection, VonageConfig
+from vocode.streaming.models.transcriber import TranscriberConfig
+from vocode.streaming.output_device.vonage_output_device import VonageOutputDevice
+from vocode.streaming.synthesizer.abstract_factory import AbstractSynthesizerFactory
+from vocode.streaming.telephony.client.vonage_client import VonageClient
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
+from vocode.streaming.telephony.conversation.abstract_phone_conversation import (
+    AbstractPhoneConversation,
+)
+from vocode.streaming.transcriber.abstract_factory import AbstractTranscriberFactory
+from vocode.streaming.utils.events_manager import EventsManager
+from vocode.streaming.utils.state_manager import VonagePhoneConversationStateManager
+
+KOALA_CHUNK_SIZE = 512  # 16 bit samples, size 256
+
+
+class VonagePhoneConversation(AbstractPhoneConversation[VonageOutputDevice]):
+    telephony_provider = "vonage"
+
+    def __init__(
+        self,
+        direction: PhoneCallDirection,
+        from_phone: str,
+        to_phone: str,
+        base_url: str,
+        config_manager: BaseConfigManager,
+        agent_config: AgentConfig,
+        transcriber_config: TranscriberConfig,
+        synthesizer_config: SynthesizerConfig,
+        vonage_uuid: str,
+        vonage_config: VonageConfig,
+        agent_factory: AbstractAgentFactory,
+        transcriber_factory: AbstractTranscriberFactory,
+        synthesizer_factory: AbstractSynthesizerFactory,
+        conversation_id: Optional[str] = None,
+        events_manager: Optional[EventsManager] = None,
+        output_to_speaker: bool = False,
+        speed_coefficient: float = 1.0,
+        noise_suppression: bool = False,
+    ):
+        self.speed_coefficient = speed_coefficient
+        super().__init__(
+            direction=direction,
+            speed_coefficient=speed_coefficient,
+            from_phone=from_phone,
+            to_phone=to_phone,
+            base_url=base_url,
+            config_manager=config_manager,
+            output_device=VonageOutputDevice(output_to_speaker=output_to_speaker),
+            agent_config=agent_config,
+            transcriber_config=transcriber_config,
+            synthesizer_config=synthesizer_config,
+            conversation_id=conversation_id,
+            events_manager=events_manager,
+            transcriber_factory=transcriber_factory,
+            agent_factory=agent_factory,
+            synthesizer_factory=synthesizer_factory,
+        )
+        self.vonage_config = vonage_config
+        self.telephony_client = VonageClient(
+            base_url=self.base_url,
+            maybe_vonage_config=self.vonage_config,
+        )
+        self.vonage_uuid = vonage_uuid
+        self.noise_suppression = noise_suppression
+        if self.noise_suppression:
+            import pvkoala
+
+            logger.info("Using PV koala noise suppression")
+            self.buffer = bytearray()
+            self.koala = pvkoala.create(
+                access_key=os.environ["KOALA_ACCESS_KEY"],
+            )
+
+    def create_state_manager(self) -> VonagePhoneConversationStateManager:
+        return VonagePhoneConversationStateManager(self)
+
+    async def attach_ws_and_start(self, ws: WebSocket):
+        # start message
+        await ws.receive()
+        super().attach_ws(ws)
+
+        await self.start()
+        self.events_manager.publish_event(
+            PhoneCallConnectedEvent(
+                conversation_id=self.id,
+                to_phone_number=self.to_phone,
+                from_phone_number=self.from_phone,
+            )
+        )
+        disconnected = False
+        while self.is_active():
+            try:
+                message = await ws.receive()
+                if message["type"] == "websocket.disconnect":
+                    raise WebSocketDisconnect(message["code"])
+                if "bytes" in message:
+                    chunk = message["bytes"]
+                    self.receive_audio(chunk)
+                else:
+                    logger.debug(f"Received non-bytes message: {message}")
+            except WebSocketDisconnect as e:
+                logger.debug("Websocket disconnected")
+                if e.code != 1000:
+                    logger.error(f"Websocket disconnected abnormally with code {e.code} {e.reason}")
+                disconnected = True
+                break
+        await self.terminate()
+        if not disconnected:
+            await ws.close()
+
+    def receive_audio(self, chunk: bytes):
+        if self.noise_suppression:
+            self.buffer.extend(chunk)
+
+            while len(self.buffer) >= KOALA_CHUNK_SIZE:
+                koala_chunk = np.frombuffer(self.buffer[:KOALA_CHUNK_SIZE], dtype=np.int16)
+                try:
+                    denoised_chunk = np.array(
+                        self.koala.process(koala_chunk), dtype=np.int16
+                    ).tobytes()
+                except Exception:
+                    denoised_chunk = koala_chunk.tobytes()
+                super().receive_audio(denoised_chunk)
+                self.buffer = self.buffer[KOALA_CHUNK_SIZE:]
+        else:
+            super().receive_audio(chunk)
diff --git a/vocode/streaming/telephony/conversation/zoom_dial_in.py b/vocode/streaming/telephony/conversation/zoom_dial_in.py
index 5b29584c12..0e497b555c 100644
--- a/vocode/streaming/telephony/conversation/zoom_dial_in.py
+++ b/vocode/streaming/telephony/conversation/zoom_dial_in.py
@@ -1,12 +1,10 @@
-import logging
 from typing import Optional
+
 from vocode.streaming.models.agent import AgentConfig
 from vocode.streaming.models.synthesizer import SynthesizerConfig
 from vocode.streaming.models.telephony import TwilioConfig
 from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
-)
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
 from vocode.streaming.telephony.conversation.outbound_call import OutboundCall
 
 
@@ -20,11 +18,10 @@ def __init__(
         from_phone: str,
         config_manager: BaseConfigManager,
         agent_config: AgentConfig,
+        twilio_config: TwilioConfig,
         transcriber_config: Optional[TranscriberConfig] = None,
         synthesizer_config: Optional[SynthesizerConfig] = None,
-        twilio_config: Optional[TwilioConfig] = None,
         conversation_id: Optional[str] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         digits = f"wwww{zoom_meeting_id}#"
         if zoom_meeting_password:
@@ -38,10 +35,8 @@ def __init__(
             transcriber_config=transcriber_config,
             agent_config=agent_config,
             synthesizer_config=synthesizer_config,
-            twilio_config=twilio_config,
+            telephony_config=twilio_config,
             conversation_id=conversation_id,
-            logger=logger,
-            mobile_only=False,
             digits=digits,
         )
 
diff --git a/vocode/streaming/telephony/hosted/exceptions.py b/vocode/streaming/telephony/hosted/exceptions.py
deleted file mode 100644
index 6cdf0916c1..0000000000
--- a/vocode/streaming/telephony/hosted/exceptions.py
+++ /dev/null
@@ -1,4 +0,0 @@
-class RateLimitExceeded(Exception):
-    """Exception raised when the rate limit is exceeded."""
-
-    pass
diff --git a/vocode/streaming/telephony/hosted/inbound_call_server.py b/vocode/streaming/telephony/hosted/inbound_call_server.py
deleted file mode 100644
index f4f7b91bf8..0000000000
--- a/vocode/streaming/telephony/hosted/inbound_call_server.py
+++ /dev/null
@@ -1,108 +0,0 @@
-from fastapi import FastAPI, Form, Response
-from typing import Optional
-import requests
-import uvicorn
-
-import vocode
-from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.models.synthesizer import SynthesizerConfig
-from vocode.streaming.models.agent import AgentConfig
-from vocode.streaming.models.telephony import (
-    CallEntity,
-    CreateInboundCall,
-    TwilioConfig,
-    TwilioConfig,
-    VonageConfig,
-)
-from vocode.streaming.telephony.server.base import VonageAnswerRequest
-
-
-class InboundCallServer:
-    def __init__(
-        self,
-        agent_config: AgentConfig,
-        transcriber_config: Optional[TranscriberConfig] = None,
-        synthesizer_config: Optional[SynthesizerConfig] = None,
-        response_on_rate_limit: Optional[str] = None,
-        vonage_config: Optional[VonageConfig] = None,
-        twilio_config: Optional[TwilioConfig] = None,
-    ):
-        self.agent_config = agent_config
-        self.transcriber_config = transcriber_config
-        self.synthesizer_config = synthesizer_config
-        self.app = FastAPI()
-
-        self.vonage_config = vonage_config
-        self.twilio_config = twilio_config
-        self.create_inbound_route()
-        self.response_on_rate_limit = (
-            response_on_rate_limit
-            or "The line is really busy right now, check back later!"
-        )
-        self.vocode_inbound_call_url = f"https://{vocode.base_url}/create_inbound_call"
-
-    def create_inbound_route(self):
-        async def handle_vonage_call(vonage_answer_request: VonageAnswerRequest):
-            response = requests.post(
-                self.vocode_inbound_call_url,
-                headers={"Authorization": f"Bearer {vocode.api_key}"},
-                json=CreateInboundCall(
-                    recipient=CallEntity(
-                        phone_number=vonage_answer_request.to,
-                    ),
-                    caller=CallEntity(
-                        phone_number=vonage_answer_request.from_,
-                    ),
-                    agent_config=self.agent_config,
-                    vonage_uuid=vonage_answer_request.uuid,
-                    transcriber_config=self.transcriber_config,
-                    synthesizer_config=self.synthesizer_config,
-                    vonage_config=self.vonage_config,
-                ).dict(),
-            )
-            assert response.ok, response.text
-            return Response(
-                response.text,
-                media_type="application/json",
-            )
-
-        async def handle_twilio_call(
-            twilio_sid: str = Form(alias="CallSid"),
-            twilio_from: str = Form(alias="From"),
-            twilio_to: str = Form(alias="To"),
-        ) -> Response:
-            response = requests.post(
-                self.vocode_inbound_call_url,
-                headers={"Authorization": f"Bearer {vocode.api_key}"},
-                json=CreateInboundCall(
-                    recipient=CallEntity(
-                        phone_number=twilio_to,
-                    ),
-                    caller=CallEntity(phone_number=twilio_from),
-                    agent_config=self.agent_config,
-                    twilio_sid=twilio_sid,
-                    transcriber_config=self.transcriber_config,
-                    synthesizer_config=self.synthesizer_config,
-                    twilio_config=self.twilio_config,
-                ).dict(),
-            )
-            if response.status_code == 429:
-                return Response(
-                    f"<Response><Say>{self.response_on_rate_limit}</Say></Response>",
-                    media_type="application/xml",
-                )
-            assert response.ok, response.text
-            return Response(
-                response.text,
-                media_type="application/xml",
-            )
-
-        if self.vonage_config:
-            self.app.post("/vocode")(handle_vonage_call)
-        elif self.twilio_config:
-            self.app.post("/vocode")(handle_twilio_call)
-        else:
-            raise ValueError("Must provide vonage_config or twilio_config")
-
-    def run(self, host="localhost", port=3000):
-        uvicorn.run(self.app, host=host, port=port)
diff --git a/vocode/streaming/telephony/hosted/inbound_call_user_agent_server.py b/vocode/streaming/telephony/hosted/inbound_call_user_agent_server.py
deleted file mode 100644
index a73efc621c..0000000000
--- a/vocode/streaming/telephony/hosted/inbound_call_user_agent_server.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from typing import Optional, Union
-from vocode.streaming.models.telephony import VonageConfig
-from vocode.streaming.telephony.hosted.inbound_call_server import InboundCallServer
-from vocode.streaming.models.agent import (
-    RESTfulAgentEnd,
-    RESTfulAgentInput,
-    RESTfulAgentText,
-    RESTfulUserImplementedAgentConfig,
-)
-from vocode.streaming.models.transcriber import (
-    TranscriberConfig,
-)
-from vocode.streaming.models.synthesizer import SynthesizerConfig
-
-
-class InboundCallUserAgentServer(InboundCallServer):
-    def __init__(
-        self,
-        agent_config: RESTfulUserImplementedAgentConfig,
-        transcriber_config: Optional[TranscriberConfig] = None,
-        synthesizer_config: Optional[SynthesizerConfig] = None,
-        response_on_rate_limit: Optional[str] = None,
-        vonage_config: Optional[VonageConfig] = None,
-    ):
-        super().__init__(
-            agent_config=agent_config,
-            transcriber_config=transcriber_config,
-            synthesizer_config=synthesizer_config,
-            response_on_rate_limit=response_on_rate_limit,
-            vonage_config=vonage_config,
-        )
-        assert isinstance(
-            agent_config, RESTfulUserImplementedAgentConfig
-        ), "agent_config must be a RESTfulUserImplementedAgentConfig"
-        self.app.post("/respond")(self.respond_rest)
-
-    async def respond(
-        self, human_input, conversation_id
-    ) -> Union[RESTfulAgentText, RESTfulAgentEnd]:
-        raise NotImplementedError
-
-    async def respond_rest(
-        self, request: RESTfulAgentInput
-    ) -> Union[RESTfulAgentText, RESTfulAgentEnd]:
-        return await self.respond(request.human_input, request.conversation_id)
diff --git a/vocode/streaming/telephony/hosted/outbound_call.py b/vocode/streaming/telephony/hosted/outbound_call.py
deleted file mode 100644
index ac264b464e..0000000000
--- a/vocode/streaming/telephony/hosted/outbound_call.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from typing import Optional
-import requests
-
-import vocode
-from vocode.streaming.models.agent import AgentConfig
-from vocode.streaming.models.synthesizer import SynthesizerConfig
-from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.models.telephony import (
-    CallEntity,
-    CreateOutboundCall,
-    EndOutboundCall,
-    TwilioConfig,
-    VonageConfig,
-)
-from vocode.streaming.telephony.hosted.exceptions import RateLimitExceeded
-
-
-class OutboundCall:
-    def __init__(
-        self,
-        recipient: CallEntity,
-        caller: CallEntity,
-        agent_config: AgentConfig,
-        transcriber_config: Optional[TranscriberConfig] = None,
-        synthesizer_config: Optional[SynthesizerConfig] = None,
-        conversation_id: Optional[str] = None,
-        twilio_config: Optional[TwilioConfig] = None,
-        vonage_config: Optional[VonageConfig] = None,
-    ):
-        self.recipient = recipient
-        self.caller = caller
-        self.agent_config = agent_config
-        self.transcriber_config = transcriber_config
-        self.synthesizer_config = synthesizer_config
-        self.conversation_id = conversation_id
-        self.twilio_config = twilio_config
-        self.vonage_config = vonage_config
-        self.vocode_create_outbound_call_url = (
-            f"https://{vocode.base_url}/create_outbound_call"
-        )
-        self.vocode_end_outbound_call_url = (
-            f"https://{vocode.base_url}/end_outbound_call"
-        )
-
-    def start(self):
-        try:
-            response = requests.post(
-                self.vocode_create_outbound_call_url,
-                headers={"Authorization": f"Bearer {vocode.api_key}"},
-                json=CreateOutboundCall(
-                    recipient=self.recipient,
-                    caller=self.caller,
-                    agent_config=self.agent_config,
-                    transcriber_config=self.transcriber_config,
-                    synthesizer_config=self.synthesizer_config,
-                    conversation_id=self.conversation_id,
-                    twilio_config=self.twilio_config,
-                    vonage_config=self.vonage_config,
-                ).dict(),
-                timeout=5,
-            )
-            if not response.ok:
-                if response.status_code == 429:
-                    raise RateLimitExceeded("Too many requests")
-                else:
-                    raise Exception(response.text)
-            data = response.json()
-            self.conversation_id = data["id"]
-        except requests.exceptions.Timeout:
-            raise RateLimitExceeded("Timed out")
-
-    def end(self):
-        try:
-            response = requests.post(
-                self.vocode_end_outbound_call_url,
-                headers={"Authorization": f"Bearer {vocode.api_key}"},
-                json=EndOutboundCall(
-                    call_id=self.conversation_id,
-                    twilio_config=self.twilio_config,
-                    vonage_config=self.vonage_config,
-                ).dict(),
-                timeout=2,
-            )
-            assert response.ok or response.status_code == 404, response.text
-        except requests.exceptions.Timeout:
-            raise RateLimitExceeded("Timed out")
diff --git a/vocode/streaming/telephony/hosted/zoom_dial_in.py b/vocode/streaming/telephony/hosted/zoom_dial_in.py
deleted file mode 100644
index d5097270cc..0000000000
--- a/vocode/streaming/telephony/hosted/zoom_dial_in.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from typing import Optional
-import requests
-
-import vocode
-from vocode.streaming.models.agent import AgentConfig
-from vocode.streaming.models.synthesizer import SynthesizerConfig
-from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.telephony.hosted.exceptions import RateLimitExceeded
-from vocode.streaming.telephony.hosted.outbound_call import OutboundCall
-from vocode.streaming.models.telephony import (
-    CallEntity,
-    DialIntoZoomCall,
-    TwilioConfig,
-)
-
-
-class ZoomDialIn(OutboundCall):
-    def __init__(
-        self,
-        recipient: CallEntity,
-        caller: CallEntity,
-        zoom_meeting_id: str,
-        zoom_meeting_password: str,
-        agent_config: AgentConfig,
-        transcriber_config: Optional[TranscriberConfig] = None,
-        synthesizer_config: Optional[SynthesizerConfig] = None,
-        conversation_id: Optional[str] = None,
-        twilio_config: Optional[TwilioConfig] = None,
-    ):
-        super().__init__(
-            recipient=recipient,
-            caller=caller,
-            agent_config=agent_config,
-            transcriber_config=transcriber_config,
-            synthesizer_config=synthesizer_config,
-            conversation_id=conversation_id,
-            twilio_config=twilio_config,
-        )
-        self.zoom_meeting_id = zoom_meeting_id
-        self.zoom_meeting_password = zoom_meeting_password
-        self.vocode_zoom_dial_in_url = f"https://{vocode.base_url}/dial_into_zoom_call"
-
-    def start(self):
-        response = requests.post(
-            self.vocode_zoom_dial_in_url,
-            headers={"Authorization": f"Bearer {vocode.api_key}"},
-            json=DialIntoZoomCall(
-                recipient=self.recipient,
-                caller=self.caller,
-                zoom_meeting_id=self.zoom_meeting_id,
-                zoom_meeting_password=self.zoom_meeting_password,
-                agent_config=self.agent_config,
-                transcriber_config=self.transcriber_config,
-                synthesizer_config=self.synthesizer_config,
-                conversation_id=self.conversation_id,
-                twilio_config=self.twilio_config,
-            ).dict(),
-        )
-        if not response.ok:
-            if response.status_code == 429:
-                raise RateLimitExceeded("Too many requests")
-            else:
-                raise Exception(response.text)
-        data = response.json()
-        self.conversation_id = data["id"]
diff --git a/vocode/streaming/telephony/server/base.py b/vocode/streaming/telephony/server/base.py
index 62d279faf1..5e04c3c05c 100644
--- a/vocode/streaming/telephony/server/base.py
+++ b/vocode/streaming/telephony/server/base.py
@@ -1,40 +1,33 @@
 import abc
 from functools import partial
-import logging
 from typing import List, Optional
+
 from fastapi import APIRouter, Form, Request, Response
-from pydantic import BaseModel, Field
-from vocode.streaming.agent.factory import AgentFactory
+from loguru import logger
+from pydantic.v1 import BaseModel, Field
+
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.agent.default_factory import DefaultAgentFactory
 from vocode.streaming.models.agent import AgentConfig
 from vocode.streaming.models.events import RecordingEvent
 from vocode.streaming.models.synthesizer import SynthesizerConfig
-from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.synthesizer.factory import SynthesizerFactory
-from vocode.streaming.telephony.client.base_telephony_client import BaseTelephonyClient
-from vocode.streaming.telephony.client.twilio_client import TwilioClient
-from vocode.streaming.telephony.client.vonage_client import VonageClient
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
-)
-from vocode.streaming.telephony.constants import (
-    DEFAULT_AUDIO_ENCODING,
-    DEFAULT_CHUNK_SIZE,
-    DEFAULT_SAMPLING_RATE,
-    VONAGE_AUDIO_ENCODING,
-    VONAGE_SAMPLING_RATE,
-)
-
-from vocode.streaming.telephony.server.router.calls import CallsRouter
 from vocode.streaming.models.telephony import (
     TwilioCallConfig,
     TwilioConfig,
     VonageCallConfig,
     VonageConfig,
 )
-
-from vocode.streaming.telephony.templater import Templater
-from vocode.streaming.transcriber.base_transcriber import BaseTranscriber
-from vocode.streaming.transcriber.factory import TranscriberFactory
+from vocode.streaming.models.transcriber import TranscriberConfig
+from vocode.streaming.synthesizer.abstract_factory import AbstractSynthesizerFactory
+from vocode.streaming.synthesizer.default_factory import DefaultSynthesizerFactory
+from vocode.streaming.telephony.client.abstract_telephony_client import AbstractTelephonyClient
+from vocode.streaming.telephony.client.twilio_client import TwilioClient
+from vocode.streaming.telephony.client.vonage_client import VonageClient
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
+from vocode.streaming.telephony.server.router.calls import CallsRouter
+from vocode.streaming.telephony.templater import get_connection_twiml
+from vocode.streaming.transcriber.abstract_factory import AbstractTranscriberFactory
+from vocode.streaming.transcriber.default_factory import DefaultTranscriberFactory
 from vocode.streaming.utils import create_conversation_id
 from vocode.streaming.utils.events_manager import EventsManager
 
@@ -66,17 +59,14 @@ def __init__(
         base_url: str,
         config_manager: BaseConfigManager,
         inbound_call_configs: List[AbstractInboundCallConfig] = [],
-        transcriber_factory: TranscriberFactory = TranscriberFactory(),
-        agent_factory: AgentFactory = AgentFactory(),
-        synthesizer_factory: SynthesizerFactory = SynthesizerFactory(),
+        transcriber_factory: AbstractTranscriberFactory = DefaultTranscriberFactory(),
+        agent_factory: AbstractAgentFactory = DefaultAgentFactory(),
+        synthesizer_factory: AbstractSynthesizerFactory = DefaultSynthesizerFactory(),
         events_manager: Optional[EventsManager] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         self.base_url = base_url
-        self.logger = logger or logging.getLogger(__name__)
         self.router = APIRouter()
         self.config_manager = config_manager
-        self.templater = Templater()
         self.events_manager = events_manager
         self.router.include_router(
             CallsRouter(
@@ -86,7 +76,6 @@ def __init__(
                 agent_factory=agent_factory,
                 synthesizer_factory=synthesizer_factory,
                 events_manager=self.events_manager,
-                logger=self.logger,
             ).get_router()
         )
         for config in inbound_call_configs:
@@ -97,18 +86,24 @@ def __init__(
             )
         # vonage requires an events endpoint
         self.router.add_api_route("/events", self.events, methods=["GET", "POST"])
-        self.logger.info(f"Set up events endpoint at https://{self.base_url}/events")
+        logger.info(f"Set up events endpoint at https://{self.base_url}/events")
+
+        self.router.add_api_route(
+            "/recordings/{conversation_id}", self.recordings, methods=["GET", "POST"]
+        )
+        logger.info(
+            f"Set up recordings endpoint at https://{self.base_url}/recordings/{{conversation_id}}"
+        )
 
-        self.router.add_api_route("/recordings/{conversation_id}", self.recordings, methods=["GET", "POST"])
-        self.logger.info(f"Set up recordings endpoint at https://{self.base_url}/recordings/{{conversation_id}}")
- 
     def events(self, request: Request):
         return Response()
 
     async def recordings(self, request: Request, conversation_id: str):
         recording_url = (await request.json())["recording_url"]
         if self.events_manager is not None and recording_url is not None:
-            self.events_manager.publish_event(RecordingEvent(recording_url=recording_url, conversation_id=conversation_id))
+            self.events_manager.publish_event(
+                RecordingEvent(recording_url=recording_url, conversation_id=conversation_id)
+            )
         return Response()
 
     def create_inbound_route(
@@ -131,17 +126,15 @@ async def twilio_route(
                 twilio_sid=twilio_sid,
                 from_phone=twilio_from,
                 to_phone=twilio_to,
+                direction="inbound",
             )
 
             conversation_id = create_conversation_id()
             await self.config_manager.save_config(conversation_id, call_config)
-            return self.templater.get_connection_twiml(
-                base_url=self.base_url, call_id=conversation_id
-            )
+            return get_connection_twiml(base_url=self.base_url, call_id=conversation_id)
 
-        async def vonage_route(
-            vonage_config: VonageConfig, vonage_answer_request: VonageAnswerRequest
-        ):
+        async def vonage_route(vonage_config: VonageConfig, request: Request):
+            vonage_answer_request = VonageAnswerRequest.parse_obj(await request.json())
             call_config = VonageCallConfig(
                 transcriber_config=inbound_call_config.transcriber_config
                 or VonageCallConfig.default_transcriber_config(),
@@ -152,42 +145,47 @@ async def vonage_route(
                 vonage_uuid=vonage_answer_request.uuid,
                 to_phone=vonage_answer_request.from_,
                 from_phone=vonage_answer_request.to,
+                direction="inbound",
             )
             conversation_id = create_conversation_id()
             await self.config_manager.save_config(conversation_id, call_config)
-            return VonageClient.create_call_ncco(
-                base_url=self.base_url, conversation_id=conversation_id, record=vonage_config.record
+            vonage_client = VonageClient(
+                base_url=self.base_url,
+                maybe_vonage_config=vonage_config,
+                record_calls=vonage_config.record,
+            )
+            return vonage_client.create_call_ncco(
+                conversation_id=conversation_id,
+                record=vonage_config.record,
             )
 
         if isinstance(inbound_call_config, TwilioInboundCallConfig):
-            self.logger.info(
+            logger.info(
                 f"Set up inbound call TwiML at https://{self.base_url}{inbound_call_config.url}"
             )
             return partial(twilio_route, inbound_call_config.twilio_config)
         elif isinstance(inbound_call_config, VonageInboundCallConfig):
-            self.logger.info(
+            logger.info(
                 f"Set up inbound call NCCO at https://{self.base_url}{inbound_call_config.url}"
             )
             return partial(vonage_route, inbound_call_config.vonage_config)
         else:
-            raise ValueError(
-                f"Unknown inbound call config type {type(inbound_call_config)}"
-            )
+            raise ValueError(f"Unknown inbound call config type {type(inbound_call_config)}")
 
     async def end_outbound_call(self, conversation_id: str):
         # TODO validation via twilio_client
         call_config = await self.config_manager.get_config(conversation_id)
         if not call_config:
             raise ValueError(f"Could not find call config for {conversation_id}")
-        telephony_client: BaseTelephonyClient
+        telephony_client: AbstractTelephonyClient
         if isinstance(call_config, TwilioCallConfig):
             telephony_client = TwilioClient(
-                base_url=self.base_url, twilio_config=call_config.twilio_config
+                base_url=self.base_url, maybe_twilio_config=call_config.twilio_config
             )
             await telephony_client.end_call(call_config.twilio_sid)
         elif isinstance(call_config, VonageCallConfig):
             telephony_client = VonageClient(
-                base_url=self.base_url, vonage_config=call_config.vonage_config
+                base_url=self.base_url, maybe_vonage_config=call_config.vonage_config
             )
             await telephony_client.end_call(call_config.vonage_uuid)
         return {"id": conversation_id}
diff --git a/vocode/streaming/telephony/server/router/calls.py b/vocode/streaming/telephony/server/router/calls.py
index f62338531a..5db6af8b0d 100644
--- a/vocode/streaming/telephony/server/router/calls.py
+++ b/vocode/streaming/telephony/server/router/calls.py
@@ -1,22 +1,27 @@
 from typing import Optional
-import logging
 
+import sentry_sdk
 from fastapi import APIRouter, HTTPException, WebSocket
-from vocode.streaming.agent.factory import AgentFactory
-from vocode.streaming.models.telephony import (
-    BaseCallConfig,
-    TwilioCallConfig,
-    VonageCallConfig,
+from loguru import logger
+
+from vocode import sentry_transaction
+from vocode.streaming.agent.abstract_factory import AbstractAgentFactory
+from vocode.streaming.agent.default_factory import DefaultAgentFactory
+from vocode.streaming.models.telephony import BaseCallConfig, TwilioCallConfig, VonageCallConfig
+from vocode.streaming.synthesizer.abstract_factory import AbstractSynthesizerFactory
+from vocode.streaming.synthesizer.default_factory import DefaultSynthesizerFactory
+from vocode.streaming.telephony.config_manager.base_config_manager import BaseConfigManager
+from vocode.streaming.telephony.conversation.abstract_phone_conversation import (
+    AbstractPhoneConversation,
 )
-from vocode.streaming.synthesizer.factory import SynthesizerFactory
-from vocode.streaming.telephony.config_manager.base_config_manager import (
-    BaseConfigManager,
+from vocode.streaming.telephony.conversation.twilio_phone_conversation import (
+    TwilioPhoneConversation,
 )
-
-from vocode.streaming.telephony.conversation.call import Call
-from vocode.streaming.telephony.conversation.twilio_call import TwilioCall
-from vocode.streaming.telephony.conversation.vonage_call import VonageCall
-from vocode.streaming.transcriber.factory import TranscriberFactory
+from vocode.streaming.telephony.conversation.vonage_phone_conversation import (
+    VonagePhoneConversation,
+)
+from vocode.streaming.transcriber.abstract_factory import AbstractTranscriberFactory
+from vocode.streaming.transcriber.default_factory import DefaultTranscriberFactory
 from vocode.streaming.utils.base_router import BaseRouter
 from vocode.streaming.utils.events_manager import EventsManager
 
@@ -26,11 +31,10 @@ def __init__(
         self,
         base_url: str,
         config_manager: BaseConfigManager,
-        transcriber_factory: TranscriberFactory = TranscriberFactory(),
-        agent_factory: AgentFactory = AgentFactory(),
-        synthesizer_factory: SynthesizerFactory = SynthesizerFactory(),
+        transcriber_factory: AbstractTranscriberFactory = DefaultTranscriberFactory(),
+        agent_factory: AbstractAgentFactory = DefaultAgentFactory(),
+        synthesizer_factory: AbstractSynthesizerFactory = DefaultSynthesizerFactory(),
         events_manager: Optional[EventsManager] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         super().__init__()
         self.base_url = base_url
@@ -39,7 +43,6 @@ def __init__(
         self.agent_factory = agent_factory
         self.synthesizer_factory = synthesizer_factory
         self.events_manager = events_manager
-        self.logger = logger or logging.getLogger(__name__)
         self.router = APIRouter()
         self.router.websocket("/connect_call/{id}")(self.connect_call)
 
@@ -49,18 +52,16 @@ def _from_call_config(
         call_config: BaseCallConfig,
         config_manager: BaseConfigManager,
         conversation_id: str,
-        logger: logging.Logger,
-        transcriber_factory: TranscriberFactory = TranscriberFactory(),
-        agent_factory: AgentFactory = AgentFactory(),
-        synthesizer_factory: SynthesizerFactory = SynthesizerFactory(),
+        transcriber_factory: AbstractTranscriberFactory = DefaultTranscriberFactory(),
+        agent_factory: AbstractAgentFactory = DefaultAgentFactory(),
+        synthesizer_factory: AbstractSynthesizerFactory = DefaultSynthesizerFactory(),
         events_manager: Optional[EventsManager] = None,
-    ):
+    ) -> AbstractPhoneConversation:
         if isinstance(call_config, TwilioCallConfig):
-            return TwilioCall(
+            return TwilioPhoneConversation(
                 to_phone=call_config.to_phone,
                 from_phone=call_config.from_phone,
                 base_url=base_url,
-                logger=logger,
                 config_manager=config_manager,
                 agent_config=call_config.agent_config,
                 transcriber_config=call_config.transcriber_config,
@@ -72,13 +73,13 @@ def _from_call_config(
                 agent_factory=agent_factory,
                 synthesizer_factory=synthesizer_factory,
                 events_manager=events_manager,
+                direction=call_config.direction,
             )
         elif isinstance(call_config, VonageCallConfig):
-            return VonageCall(
+            return VonagePhoneConversation(
                 to_phone=call_config.to_phone,
                 from_phone=call_config.from_phone,
                 base_url=base_url,
-                logger=logger,
                 config_manager=config_manager,
                 agent_config=call_config.agent_config,
                 transcriber_config=call_config.transcriber_config,
@@ -91,31 +92,33 @@ def _from_call_config(
                 synthesizer_factory=synthesizer_factory,
                 events_manager=events_manager,
                 output_to_speaker=call_config.output_to_speaker,
+                direction=call_config.direction,
             )
         else:
             raise ValueError(f"Unknown call config type {call_config.type}")
 
     async def connect_call(self, websocket: WebSocket, id: str):
-        await websocket.accept()
-        self.logger.debug("Phone WS connection opened for chat {}".format(id))
-        call_config = await self.config_manager.get_config(id)
-        if not call_config:
-            raise HTTPException(status_code=400, detail="No active phone call")
+        with sentry_sdk.start_transaction(op="connect_call") as sentry_txn:
+            sentry_transaction.set(sentry_txn)
+            await websocket.accept()
+            logger.debug("Phone WS connection opened for chat {}".format(id))
+            call_config = await self.config_manager.get_config(id)
+            if not call_config:
+                raise HTTPException(status_code=400, detail="No active phone call")
 
-        call = self._from_call_config(
-            base_url=self.base_url,
-            call_config=call_config,
-            config_manager=self.config_manager,
-            conversation_id=id,
-            transcriber_factory=self.transcriber_factory,
-            agent_factory=self.agent_factory,
-            synthesizer_factory=self.synthesizer_factory,
-            events_manager=self.events_manager,
-            logger=self.logger,
-        )
+            phone_conversation = self._from_call_config(
+                base_url=self.base_url,
+                call_config=call_config,
+                config_manager=self.config_manager,
+                conversation_id=id,
+                transcriber_factory=self.transcriber_factory,
+                agent_factory=self.agent_factory,
+                synthesizer_factory=self.synthesizer_factory,
+                events_manager=self.events_manager,
+            )
 
-        await call.attach_ws_and_start(websocket)
-        self.logger.debug("Phone WS connection closed for chat {}".format(id))
+            await phone_conversation.attach_ws_and_start(websocket)
+            logger.debug("Phone WS connection closed for chat {}".format(id))
 
     def get_router(self) -> APIRouter:
         return self.router
diff --git a/vocode/streaming/telephony/templater.py b/vocode/streaming/telephony/templater.py
index e6863f62e5..a7019d2eac 100644
--- a/vocode/streaming/telephony/templater.py
+++ b/vocode/streaming/telephony/templater.py
@@ -1,20 +1,29 @@
 import os
-from jinja2 import Environment, FileSystemLoader
+
 from fastapi import Response
+from jinja2 import Environment, FileSystemLoader
+
+DEFAULT_TEMPLATE_ENVIRONMENT = Environment(
+    loader=FileSystemLoader("%s/templates/" % os.path.dirname(__file__))
+)
 
 
-class Templater:
-    def __init__(self):
-        self.templates = Environment(
-            loader=FileSystemLoader("%s/templates/" % os.path.dirname(__file__))
-        )
+def render_template(template_name: str, template_environment: Environment, **kwargs):
+    template = template_environment.get_template(template_name)
+    return template.render(**kwargs)
 
-    def render_template(self, template_name: str, **kwargs):
-        template = self.templates.get_template(template_name)
-        return template.render(**kwargs)
 
-    def get_connection_twiml(self, call_id: str, base_url: str):
-        return Response(
-            self.render_template("connect_call.xml", base_url=base_url, id=call_id),
-            media_type="application/xml",
-        )
+def get_connection_twiml(
+    call_id: str,
+    base_url: str,
+    template_environment: Environment = DEFAULT_TEMPLATE_ENVIRONMENT,
+):
+    return Response(
+        render_template(
+            template_name="twilio_connect_call.xml",
+            template_environment=template_environment,
+            base_url=base_url,
+            id=call_id,
+        ),
+        media_type="application/xml",
+    )
diff --git a/vocode/streaming/telephony/templates/connect_call.xml b/vocode/streaming/telephony/templates/twilio_connect_call.xml
similarity index 92%
rename from vocode/streaming/telephony/templates/connect_call.xml
rename to vocode/streaming/telephony/templates/twilio_connect_call.xml
index 036ffe1bb8..75d5036fdc 100644
--- a/vocode/streaming/telephony/templates/connect_call.xml
+++ b/vocode/streaming/telephony/templates/twilio_connect_call.xml
@@ -3,4 +3,4 @@
   <Connect>
     <Stream url="wss://{{ base_url }}/connect_call/{{ id }}" />
   </Connect>
-</Response>
\ No newline at end of file
+</Response>
diff --git a/vocode/streaming/transcriber/__init__.py b/vocode/streaming/transcriber/__init__.py
deleted file mode 100644
index 6e2eef40c3..0000000000
--- a/vocode/streaming/transcriber/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from vocode.streaming.transcriber.assembly_ai_transcriber import AssemblyAITranscriber
-from vocode.streaming.transcriber.azure_transcriber import AzureTranscriber
-from vocode.streaming.transcriber.base_transcriber import BaseTranscriber
-from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
-from vocode.streaming.transcriber.google_transcriber import GoogleTranscriber
-from vocode.streaming.transcriber.rev_ai_transcriber import RevAITranscriber
-from vocode.streaming.transcriber.whisper_cpp_transcriber import WhisperCPPTranscriber
diff --git a/vocode/streaming/transcriber/abstract_factory.py b/vocode/streaming/transcriber/abstract_factory.py
new file mode 100644
index 0000000000..e89501476f
--- /dev/null
+++ b/vocode/streaming/transcriber/abstract_factory.py
@@ -0,0 +1,16 @@
+from abc import ABC, abstractmethod
+
+from vocode.streaming.models.transcriber import TranscriberConfig
+from vocode.streaming.transcriber.base_transcriber import (
+    BaseAsyncTranscriber,
+    BaseThreadAsyncTranscriber,
+)
+
+
+class AbstractTranscriberFactory(ABC):
+    @abstractmethod
+    def create_transcriber(
+        self,
+        transcriber_config: TranscriberConfig,
+    ) -> BaseAsyncTranscriber[TranscriberConfig] | BaseThreadAsyncTranscriber[TranscriberConfig]:
+        pass
diff --git a/vocode/streaming/transcriber/assembly_ai_transcriber.py b/vocode/streaming/transcriber/assembly_ai_transcriber.py
index a5050fee2d..70e0119a04 100644
--- a/vocode/streaming/transcriber/assembly_ai_transcriber.py
+++ b/vocode/streaming/transcriber/assembly_ai_transcriber.py
@@ -1,50 +1,32 @@
 import asyncio
+import audioop
 import json
-import logging
 from typing import Optional
-import websockets
-import audioop
-import numpy as np
 from urllib.parse import urlencode
-from vocode import getenv
 
-from vocode.streaming.models.transcriber import AssemblyAITranscriberConfig
-from vocode.streaming.models.websocket import AudioMessage
-from vocode.streaming.transcriber.base_transcriber import (
-    BaseAsyncTranscriber,
+import numpy as np
+import websockets
+from loguru import logger
+
+from vocode import getenv
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.transcriber import (
+    AssemblyAITranscriberConfig,
+    PunctuationEndpointingConfig,
+    TimeEndpointingConfig,
     Transcription,
-    meter,
 )
-from vocode.streaming.models.audio_encoding import AudioEncoding
-
+from vocode.streaming.models.websocket import AudioMessage
+from vocode.streaming.transcriber.base_transcriber import BaseAsyncTranscriber
 
 ASSEMBLY_AI_URL = "wss://api.assemblyai.com/v2/realtime/ws"
 
 
-avg_latency_hist = meter.create_histogram(
-    name="transcriber.assemblyai.avg_latency",
-    unit="seconds",
-)
-max_latency_hist = meter.create_histogram(
-    name="transcriber.assemblyai.max_latency",
-    unit="seconds",
-)
-min_latency_hist = meter.create_histogram(
-    name="transcriber.assemblyai.min_latency",
-    unit="seconds",
-)
-duration_hist = meter.create_histogram(
-    name="transcriber.assemblyai.duration",
-    unit="seconds",
-)
-
-
 class AssemblyAITranscriber(BaseAsyncTranscriber[AssemblyAITranscriberConfig]):
     def __init__(
         self,
         transcriber_config: AssemblyAITranscriberConfig,
         api_key: Optional[str] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         super().__init__(transcriber_config)
         self.api_key = api_key or getenv("ASSEMBLY_AI_API_KEY")
@@ -53,13 +35,26 @@ def __init__(
                 "Please set ASSEMBLY_AI_API_KEY environment variable or pass it as a parameter"
             )
         self._ended = False
-        self.logger = logger or logging.getLogger(__name__)
-        if self.transcriber_config.endpointing_config:
-            raise Exception("Assembly AI endpointing config not supported yet")
-
         self.buffer = bytearray()
         self.audio_cursor = 0
-        self.terminate_msg = str.encode(json.dumps({"terminate_session": True}))
+
+        if isinstance(
+            self.transcriber_config.endpointing_config,
+            (TimeEndpointingConfig, PunctuationEndpointingConfig),
+        ):
+            self.transcriber_config.end_utterance_silence_threshold_milliseconds = int(
+                self.transcriber_config.endpointing_config.time_cutoff_seconds * 1000
+            )
+        self.terminate_msg = json.dumps({"terminate_session": True})
+        self.end_utterance_silence_threshold_msg = (
+            None
+            if self.transcriber_config.end_utterance_silence_threshold_milliseconds is None
+            else json.dumps(
+                {
+                    "end_utterance_silence_threshold": self.transcriber_config.end_utterance_silence_threshold_milliseconds
+                }
+            )
+        )
 
     async def ready(self):
         return True
@@ -80,19 +75,17 @@ def send_audio(self, chunk):
         if (
             len(self.buffer) / (2 * self.transcriber_config.sampling_rate)
         ) >= self.transcriber_config.buffer_size_seconds:
-            self.input_queue.put_nowait(self.buffer)
+            self.consume_nonblocking(self.buffer)
             self.buffer = bytearray()
 
-    def terminate(self):
+    async def terminate(self):
         self._ended = True
-        super().terminate()
+        await super().terminate()
 
     def get_assembly_ai_url(self):
         url_params = {"sample_rate": self.transcriber_config.sampling_rate}
         if self.transcriber_config.word_boost:
-            url_params.update(
-                {"word_boost": json.dumps(self.transcriber_config.word_boost)}
-            )
+            url_params.update({"word_boost": json.dumps(self.transcriber_config.word_boost)})
         return ASSEMBLY_AI_URL + f"?{urlencode(url_params)}"
 
     async def process(self):
@@ -101,33 +94,31 @@ async def process(self):
 
         async with websockets.connect(
             URL,
-            extra_headers=(("Authorization", self.api_key),),
+            additional_headers=(("Authorization", self.api_key),),
             ping_interval=5,
             ping_timeout=20,
         ) as ws:
             await asyncio.sleep(0.1)
 
+            if self.end_utterance_silence_threshold_msg:
+                await ws.send(self.end_utterance_silence_threshold_msg)
+
             async def sender(ws):  # sends audio to websocket
                 while not self._ended:
                     try:
-                        data = await asyncio.wait_for(self.input_queue.get(), 5)
+                        data = await asyncio.wait_for(self._input_queue.get(), 5)
                     except asyncio.exceptions.TimeoutError:
                         break
                     num_channels = 1
                     sample_width = 2
                     self.audio_cursor += len(data) / (
-                        self.transcriber_config.sampling_rate
-                        * num_channels
-                        * sample_width
-                    )
-                    await ws.send(
-                        json.dumps({"audio_data": AudioMessage.from_bytes(data).data})
+                        self.transcriber_config.sampling_rate * num_channels * sample_width
                     )
+                    await ws.send(json.dumps({"audio_data": AudioMessage.from_bytes(data).data}))
                 await ws.send(self.terminate_msg)
-                self.logger.debug("Terminating AssemblyAI transcriber sender")
+                logger.debug("Terminating AssemblyAI transcriber sender")
 
             async def receiver(ws):
-                transcript_cursor = 0.0
                 while not self._ended:
                     try:
                         result_str = await ws.recv()
@@ -135,31 +126,14 @@ async def receiver(ws):
                         if "error" in data and data["error"]:
                             raise Exception(data["error"])
                     except websockets.exceptions.ConnectionClosedError as e:
-                        self.logger.debug(e)
+                        logger.debug(e)
                         break
 
                     data = json.loads(result_str)
-                    is_final = (
-                        "message_type" in data
-                        and data["message_type"] == "FinalTranscript"
-                    )
+                    is_final = "message_type" in data and data["message_type"] == "FinalTranscript"
 
                     if "text" in data and data["text"]:
-                        cur_max_latency = self.audio_cursor - transcript_cursor
-                        transcript_cursor = data["audio_end"] / 1000
-                        cur_min_latency = self.audio_cursor - transcript_cursor
-                        duration = data["audio_end"] / 1000 - data["audio_start"] / 1000
-
-                        avg_latency_hist.record(
-                            (cur_min_latency + cur_max_latency) / 2 * duration
-                        )
-                        duration_hist.record(duration)
-
-                        # Log max and min latencies
-                        max_latency_hist.record(cur_max_latency)
-                        min_latency_hist.record(max(cur_min_latency, 0))
-
-                        self.output_queue.put_nowait(
+                        self.produce_nonblocking(
                             Transcription(
                                 message=data["text"],
                                 confidence=data["confidence"],
diff --git a/vocode/streaming/transcriber/azure_transcriber.py b/vocode/streaming/transcriber/azure_transcriber.py
index 5029bcc40f..00a7a7a7f9 100644
--- a/vocode/streaming/transcriber/azure_transcriber.py
+++ b/vocode/streaming/transcriber/azure_transcriber.py
@@ -1,31 +1,27 @@
-import logging
 import queue
-from typing import Optional
+from datetime import datetime, timezone
 
+import sentry_sdk
 from azure.cognitiveservices.speech.audio import (
-    PushAudioInputStream,
     AudioStreamFormat,
     AudioStreamWaveFormat,
+    PushAudioInputStream,
 )
+from loguru import logger
 
 from vocode import getenv
-
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.transcriber.base_transcriber import (
-    BaseThreadAsyncTranscriber,
-    Transcription,
-)
-from vocode.streaming.models.transcriber import AzureTranscriberConfig
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.transcriber import AzureTranscriberConfig, Transcription
+from vocode.streaming.transcriber.base_transcriber import BaseThreadAsyncTranscriber
+from vocode.utils.sentry_utils import CustomSentrySpans, sentry_create_span
 
 
 class AzureTranscriber(BaseThreadAsyncTranscriber[AzureTranscriberConfig]):
     def __init__(
         self,
         transcriber_config: AzureTranscriberConfig,
-        logger: Optional[logging.Logger] = None,
     ):
         super().__init__(transcriber_config)
-        self.logger = logger
 
         format = None
         if self.transcriber_config.audio_encoding == AudioEncoding.LINEAR16:
@@ -67,9 +63,7 @@ def __init__(
                 )
             )
 
-            speech_params[
-                "auto_detect_source_language_config"
-            ] = auto_detect_source_language_config
+            speech_params["auto_detect_source_language_config"] = auto_detect_source_language_config
         else:
             speech_params["language"] = self.transcriber_config.language
 
@@ -79,12 +73,18 @@ def __init__(
         self.is_ready = False
 
     def recognized_sentence_final(self, evt):
-        self.output_janus_queue.sync_q.put_nowait(
+
+        sentry_create_span(
+            sentry_callable=sentry_sdk.start_span,
+            op=CustomSentrySpans.LATENCY_OF_CONVERSATION,
+            start_timestamp=datetime.now(tz=timezone.utc),
+        )
+        self.produce_nonblocking(
             Transcription(message=evt.result.text, confidence=1.0, is_final=True)
         )
 
     def recognized_sentence_stream(self, evt):
-        self.output_janus_queue.sync_q.put_nowait(
+        self.produce_nonblocking(
             Transcription(message=evt.result.text, confidence=1.0, is_final=False)
         )
 
@@ -92,21 +92,19 @@ def _run_loop(self):
         stream = self.generator()
 
         def stop_cb(evt):
-            self.logger.debug("CLOSING on {}".format(evt))
+            logger.debug("CLOSING on {}".format(evt))
             self.speech.stop_continuous_recognition()
             self._ended = True
 
         self.speech.recognizing.connect(lambda x: self.recognized_sentence_stream(x))
         self.speech.recognized.connect(lambda x: self.recognized_sentence_final(x))
         self.speech.session_started.connect(
-            lambda evt: self.logger.debug("SESSION STARTED: {}".format(evt))
+            lambda evt: logger.debug("SESSION STARTED: {}".format(evt))
         )
         self.speech.session_stopped.connect(
-            lambda evt: self.logger.debug("SESSION STOPPED {}".format(evt))
-        )
-        self.speech.canceled.connect(
-            lambda evt: self.logger.debug("CANCELED {}".format(evt))
+            lambda evt: logger.debug("SESSION STOPPED {}".format(evt))
         )
+        self.speech.canceled.connect(lambda evt: logger.debug("CANCELED {}".format(evt)))
 
         self.speech.session_stopped.connect(stop_cb)
         self.speech.canceled.connect(stop_cb)
@@ -143,7 +141,7 @@ def generator(self):
 
             yield b"".join(data)
 
-    def terminate(self):
+    async def terminate(self):
         self._ended = True
         self.speech.stop_continuous_recognition_async()
-        super().terminate()
+        await super().terminate()
diff --git a/vocode/streaming/transcriber/base_transcriber.py b/vocode/streaming/transcriber/base_transcriber.py
index 1e60100956..2f05b28446 100644
--- a/vocode/streaming/transcriber/base_transcriber.py
+++ b/vocode/streaming/transcriber/base_transcriber.py
@@ -2,35 +2,32 @@
 
 import asyncio
 import audioop
-from opentelemetry import trace, metrics
-from typing import Generic, TypeVar, Union
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.models.model import BaseModel
+from abc import ABC, abstractmethod
+from typing import TYPE_CHECKING, Generic, Optional, TypeVar, Union
 
-from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.utils.worker import AsyncWorker, ThreadAsyncWorker
-
-
-tracer = trace.get_tracer(__name__)
-meter = metrics.get_meter(__name__)
-
-class Transcription(BaseModel):
-    message: str
-    confidence: float
-    is_final: bool
-    is_interrupt: bool = False
-
-    def __str__(self):
-        return f"Transcription({self.message}, {self.confidence}, {self.is_final})"
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.transcriber import TranscriberConfig, Transcription
+from vocode.streaming.utils.speed_manager import SpeedManager
+from vocode.streaming.utils.worker import AbstractWorker, AsyncWorker, ThreadAsyncWorker
 
+if TYPE_CHECKING:
+    from vocode.streaming.streaming_conversation import StreamingConversation
 
 TranscriberConfigType = TypeVar("TranscriberConfigType", bound=TranscriberConfig)
 
 
-class AbstractTranscriber(Generic[TranscriberConfigType]):
+class AbstractTranscriber(Generic[TranscriberConfigType], AbstractWorker[bytes]):
+    consumer: AbstractWorker[Transcription]
+    streaming_conversation: "StreamingConversation"
+
     def __init__(self, transcriber_config: TranscriberConfigType):
+        AbstractWorker.__init__(self)
         self.transcriber_config = transcriber_config
         self.is_muted = False
+        self.speed_manager: Optional[SpeedManager] = None
+
+    def attach_speed_manager(self, speed_manager: SpeedManager):
+        self.speed_manager = speed_manager
 
     def mute(self):
         self.is_muted = True
@@ -51,53 +48,61 @@ def create_silent_chunk(self, chunk_size, sample_width=2):
         elif self.get_transcriber_config().audio_encoding == AudioEncoding.MULAW:
             return audioop.lin2ulaw(linear_audio, sample_width)
 
-
-class BaseAsyncTranscriber(AbstractTranscriber[TranscriberConfigType], AsyncWorker):
-    def __init__(
-        self,
-        transcriber_config: TranscriberConfigType,
-    ):
-        self.input_queue: asyncio.Queue[bytes] = asyncio.Queue()
-        self.output_queue: asyncio.Queue[Transcription] = asyncio.Queue()
-        AsyncWorker.__init__(self, self.input_queue, self.output_queue)
-        AbstractTranscriber.__init__(self, transcriber_config)
-
+    @abstractmethod
     async def _run_loop(self):
-        raise NotImplementedError
+        pass
 
-    def send_audio(self, chunk):
+    def send_audio(self, chunk: bytes):
         if not self.is_muted:
             self.consume_nonblocking(chunk)
         else:
             self.consume_nonblocking(self.create_silent_chunk(len(chunk)))
 
-    def terminate(self):
-        AsyncWorker.terminate(self)
+    def produce_nonblocking(self, item: Transcription):
+        self.consumer.consume_nonblocking(item)
 
 
-class BaseThreadAsyncTranscriber(
-    AbstractTranscriber[TranscriberConfigType], ThreadAsyncWorker
+class BaseAsyncTranscriber(AbstractTranscriber[TranscriberConfigType], AsyncWorker[bytes]):  # type: ignore
+    def __init__(self, transcriber_config: TranscriberConfigType):
+        AbstractTranscriber.__init__(self, transcriber_config)
+        AsyncWorker.__init__(self)
+
+    async def terminate(self):
+        await AsyncWorker.terminate(self)
+
+
+class BaseThreadAsyncTranscriber(  # type: ignore
+    AbstractTranscriber[TranscriberConfigType], ThreadAsyncWorker[bytes]
 ):
-    def __init__(
-        self,
-        transcriber_config: TranscriberConfigType,
-    ):
-        self.input_queue: asyncio.Queue[bytes] = asyncio.Queue()
-        self.output_queue: asyncio.Queue[Transcription] = asyncio.Queue()
-        ThreadAsyncWorker.__init__(self, self.input_queue, self.output_queue)
+    def __init__(self, transcriber_config: TranscriberConfigType):
         AbstractTranscriber.__init__(self, transcriber_config)
+        ThreadAsyncWorker.__init__(self)
 
     def _run_loop(self):
         raise NotImplementedError
 
-    def send_audio(self, chunk):
-        if not self.is_muted:
-            self.consume_nonblocking(chunk)
-        else:
-            self.consume_nonblocking(self.create_silent_chunk(len(chunk)))
-
-    def terminate(self):
-        ThreadAsyncWorker.terminate(self)
+    async def run_thread_forwarding(self):
+        try:
+            await asyncio.gather(
+                self._forward_to_thread(),
+                self._forward_from_thread(),
+            )
+        except asyncio.CancelledError:
+            return
+
+    async def _forward_from_thread(self):
+        while True:
+            try:
+                transcription = await self.output_janus_queue.async_q.get()
+                self.consumer.consume_nonblocking(transcription)
+            except asyncio.CancelledError:
+                break
+
+    def produce_nonblocking(self, item: Transcription):
+        self.output_janus_queue.sync_q.put_nowait(item)
+
+    async def terminate(self):
+        await ThreadAsyncWorker.terminate(self)
 
 
 BaseTranscriber = Union[
diff --git a/vocode/streaming/transcriber/deepgram_transcriber.py b/vocode/streaming/transcriber/deepgram_transcriber.py
index 2df718ccba..af7ce22313 100644
--- a/vocode/streaming/transcriber/deepgram_transcriber.py
+++ b/vocode/streaming/transcriber/deepgram_transcriber.py
@@ -1,106 +1,127 @@
 import asyncio
 import json
-import logging
-from typing import Optional
-import websockets
-from websockets.client import WebSocketClientProtocol
-import audioop
+from datetime import datetime, timezone
+from typing import List, Optional, Tuple, Union
 from urllib.parse import urlencode
-from vocode import getenv
 
-from vocode.streaming.transcriber.base_transcriber import (
-    BaseAsyncTranscriber,
-    Transcription,
-    meter,
-)
+import sentry_sdk
+import websockets
+from loguru import logger
+from pydantic.v1 import BaseModel, Field
+from websockets.asyncio.client import ClientConnection
+
+from vocode import getenv
+from vocode.streaming.models.audio import AudioEncoding
 from vocode.streaming.models.transcriber import (
+    DEEPGRAM_API_WS_URL,
     DeepgramTranscriberConfig,
     EndpointingConfig,
-    EndpointingType,
+    PunctuationEndpointingConfig,
+    TimeEndpointingConfig,
+    Transcription,
 )
-from vocode.streaming.models.audio_encoding import AudioEncoding
-
+from vocode.streaming.transcriber.base_transcriber import BaseAsyncTranscriber
+from vocode.utils.sentry_utils import CustomSentrySpans, sentry_configured, sentry_create_span
 
 PUNCTUATION_TERMINATORS = [".", "!", "?"]
 NUM_RESTARTS = 5
+NUM_AUDIO_CHANNELS = 1
 
 
-avg_latency_hist = meter.create_histogram(
-    name="transcriber.deepgram.avg_latency",
-    unit="seconds",
-)
-max_latency_hist = meter.create_histogram(
-    name="transcriber.deepgram.max_latency",
-    unit="seconds",
-)
-min_latency_hist = meter.create_histogram(
-    name="transcriber.deepgram.min_latency",
-    unit="seconds",
-)
-duration_hist = meter.create_histogram(
-    name="transcriber.deepgram.duration",
-    unit="seconds",
-)
+def now():
+    return datetime.now(tz=timezone.utc)
+
+
+class TimeSilentConfig(BaseModel):
+    time_cutoff_seconds: float = 1
+    post_punctuation_time_seconds: float = 0.5
+
+
+class InternalPunctuationEndpointingConfig(  # type: ignore
+    EndpointingConfig, type="internal_punctuation_based"
+):
+    time_silent_config: TimeSilentConfig = Field(default_factory=TimeSilentConfig)
+    use_single_utterance_endpointing_for_first_utterance: bool = False
+
+
+class DeepgramEndpointingConfig(EndpointingConfig, type="deepgram"):  # type: ignore
+    vad_threshold_ms: int = 500
+    utterance_cutoff_ms: int = 1000
+    time_silent_config: Optional[TimeSilentConfig] = Field(default_factory=TimeSilentConfig)
+    use_single_utterance_endpointing_for_first_utterance: bool = False
+
+
+class DeepgramUtteranceEnd(BaseModel):
+    pass
+
+    def __str__(self):
+        return "DeepgramUtteranceEnd()"
+
+
+class DeepgramTranscriptionResult(BaseModel):
+    class TranscriptionChoice(BaseModel):
+        transcript: str
+        confidence: float
+        words: List[dict]
+
+    is_final: bool
+    speech_final: bool
+    top_choice: TranscriptionChoice
+    start: float
+    duration: float
+
+    def __str__(self):
+        return f"DeepgramTranscriptionResult(transcript={self.top_choice.transcript}, is_final={self.is_final}, speech_final={self.speech_final})"
 
 
 class DeepgramTranscriber(BaseAsyncTranscriber[DeepgramTranscriberConfig]):
     def __init__(
         self,
         transcriber_config: DeepgramTranscriberConfig,
-        api_key: Optional[str] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         super().__init__(transcriber_config)
-        self.api_key = api_key or getenv("DEEPGRAM_API_KEY")
+        self.api_key = self.transcriber_config.api_key or getenv("DEEPGRAM_API_KEY")
         if not self.api_key:
-            raise Exception(
+            raise ValueError(
                 "Please set DEEPGRAM_API_KEY environment variable or pass it as a parameter"
             )
         self._ended = False
         self.is_ready = False
-        self.logger = logger or logging.getLogger(__name__)
-        self.audio_cursor = 0.
+        self.audio_cursor = 0.0
+        self.transcript_cursor = 0.0
 
-    async def _run_loop(self):
-        restarts = 0
-        while not self._ended and restarts < NUM_RESTARTS:
-            await self.process()
-            restarts += 1
-            self.logger.debug(
-                "Deepgram connection died, restarting, num_restarts: %s", restarts
-            )
+        self.ws_url = getattr(transcriber_config, "ws_url", DEEPGRAM_API_WS_URL)
 
-    def send_audio(self, chunk):
-        if (
-            self.transcriber_config.downsampling
-            and self.transcriber_config.audio_encoding == AudioEncoding.LINEAR16
-        ):
-            chunk, _ = audioop.ratecv(
-                chunk,
-                2,
-                1,
-                self.transcriber_config.sampling_rate
-                * self.transcriber_config.downsampling,
-                self.transcriber_config.sampling_rate,
-                None,
-            )
-        super().send_audio(chunk)
+        self.min_latency = 0.0
+        self.max_latency = 0.0
+        self.avg_latency = 0.0
 
-    def terminate(self):
-        terminate_msg = json.dumps({"type": "CloseStream"})
-        self.input_queue.put_nowait(terminate_msg)
-        self._ended = True
-        super().terminate()
+        self.avg_latency_numer = 0.0
+        self.avg_latency_denom = 0.0
+
+        self.start_ts: Optional[datetime] = None
+        self.connected_ts: Optional[datetime] = None
+        self.start_sending_ts: Optional[datetime] = None
+        self.start_receiving_ts: Optional[datetime] = None
+
+        self.is_first_transcription = True
+
+    def _get_speed_coefficient(self):
+        return self.speed_manager.get_speed_coefficient() if self.speed_manager else 1.0
 
     def get_deepgram_url(self):
         if self.transcriber_config.audio_encoding == AudioEncoding.LINEAR16:
             encoding = "linear16"
         elif self.transcriber_config.audio_encoding == AudioEncoding.MULAW:
             encoding = "mulaw"
+        else:
+            raise Exception(
+                f"Audio encoding not supported {self.transcriber_config.audio_encoding}"
+            )
         url_params = {
             "encoding": encoding,
             "sample_rate": self.transcriber_config.sampling_rate,
-            "channels": 1,
+            "channels": NUM_AUDIO_CHANNELS,
             "interim_results": "true",
         }
         extra_params = {}
@@ -114,138 +135,519 @@ def get_deepgram_url(self):
             extra_params["version"] = self.transcriber_config.version
         if self.transcriber_config.keywords:
             extra_params["keywords"] = self.transcriber_config.keywords
-        if (
-            self.transcriber_config.endpointing_config
-            and self.transcriber_config.endpointing_config.type
-            == EndpointingType.PUNCTUATION_BASED
+        if self.transcriber_config.endpointing_config and (
+            isinstance(
+                self.transcriber_config.endpointing_config,
+                PunctuationEndpointingConfig,
+            )
+            or isinstance(
+                self.transcriber_config.endpointing_config,
+                InternalPunctuationEndpointingConfig,
+            )
+            or isinstance(
+                self.transcriber_config.endpointing_config,
+                DeepgramEndpointingConfig,
+            )
         ):
             extra_params["punctuate"] = "true"
+        if isinstance(
+            self.transcriber_config.endpointing_config,
+            DeepgramEndpointingConfig,
+        ):
+            extra_params["endpointing"] = int(
+                self.transcriber_config.endpointing_config.vad_threshold_ms
+                * (1 / self._get_speed_coefficient())
+            )
+            extra_params["utterance_end_ms"] = max(
+                int(
+                    self.transcriber_config.endpointing_config.utterance_cutoff_ms
+                    * (1 / self._get_speed_coefficient())
+                ),
+                1000,
+            )  # Deepgram recommends using at least 1000ms since the tick period is ~1s
         url_params.update(extra_params)
-        return f"wss://api.deepgram.com/v1/listen?{urlencode(url_params)}"
+        return f"{self.ws_url}/v1/listen?{urlencode(url_params, doseq=True)}"
+
+    async def _run_loop(self):
+        restarts = 0
+        while not self._ended and restarts < NUM_RESTARTS:
+            await self.process()
+            restarts += 1
+            logger.debug(f"Deepgram connection died, restarting, num_restarts: {restarts}")
+
+        logger.error("Deepgram connection died, not restarting")
+
+    async def terminate(self):
+        self._track_latency_of_transcription_start()
+        # Put this in logs until we sentry metrics show up
+        # properly on dashboard
+        logger.info(
+            f"Transcription latency is {self.avg_latency:.4f}s",
+            extra={
+                "avg_latency": self.avg_latency,
+                "min_latency": self.min_latency,
+                "max_latency": self.max_latency,
+            },
+        )
+        terminate_msg = json.dumps({"type": "CloseStream"}).encode("utf-8")
+        self.consume_nonblocking(terminate_msg)  # todo (dow-107): typing
+        self._ended = True
+        await super().terminate()
 
-    def is_speech_final(
-        self, current_buffer: str, deepgram_response: dict, time_silent: float
+    def get_input_sample_width(self):
+        encoding = self.transcriber_config.audio_encoding
+        if encoding == AudioEncoding.LINEAR16:
+            return 2
+        elif encoding == AudioEncoding.MULAW:
+            return 1
+        else:
+            raise Exception(f"Audio encoding not supported {encoding}")
+
+    def get_byte_rate(self):
+        sample_width = self.get_input_sample_width()
+        sample_rate = self.transcriber_config.sampling_rate
+        return sample_width * sample_rate * NUM_AUDIO_CHANNELS
+
+    def is_endpoint(
+        self,
+        current_buffer: str,
+        deepgram_response: Union[DeepgramUtteranceEnd, DeepgramTranscriptionResult],
+        time_silent: float,
     ):
-        transcript = deepgram_response["channel"]["alternatives"][0]["transcript"]
-
-        # if it is not time based, then return true if speech is final and there is a transcript
-        if not self.transcriber_config.endpointing_config:
-            return transcript and deepgram_response["speech_final"]
-        elif (
-            self.transcriber_config.endpointing_config.type
-            == EndpointingType.TIME_BASED
+        is_endpoint, log_params = self._compute_is_endpoint_and_log_params(
+            current_buffer, deepgram_response, time_silent
+        )
+        if is_endpoint:
+            logger.info("Endpoint detected", extra=log_params)
+        return is_endpoint
+
+    @staticmethod
+    def _satisfies_time_cutoff(
+        *,
+        seconds: float,
+        deepgram_response: Union[DeepgramUtteranceEnd, DeepgramTranscriptionResult],
+        current_buffer: str,
+        time_silent: float,
+    ):
+        return (
+            isinstance(deepgram_response, DeepgramTranscriptionResult)
+            and not deepgram_response.top_choice.transcript
+            and len(current_buffer) > 0
+            and (time_silent + deepgram_response.duration) > seconds
+        )
+
+    def _compute_is_endpoint_and_update_log_params_based_on_time_silent(
+        self,
+        current_buffer: str,
+        deepgram_response: DeepgramTranscriptionResult,
+        time_silent: float,
+        time_silent_config: TimeSilentConfig,
+        existing_log_params: dict,
+    ) -> bool:
+        if current_buffer.strip():
+            if current_buffer.strip()[
+                -1
+            ] in PUNCTUATION_TERMINATORS and self._satisfies_time_cutoff(
+                seconds=time_silent_config.post_punctuation_time_seconds
+                * (1.0 / self._get_speed_coefficient()),
+                deepgram_response=deepgram_response,
+                current_buffer=current_buffer,
+                time_silent=time_silent,
+            ):
+                existing_log_params["source"] = "punctuation"
+                return True
+            elif self._satisfies_time_cutoff(
+                seconds=time_silent_config.time_cutoff_seconds
+                * (1.0 / self._get_speed_coefficient()),
+                deepgram_response=deepgram_response,
+                current_buffer=current_buffer,
+                time_silent=time_silent,
+            ):
+                existing_log_params["source"] = "time_cutoff"
+                return True
+        return False
+
+    def _compute_is_endpoint_and_log_params(
+        self,
+        current_buffer: str,
+        deepgram_response: Union[DeepgramUtteranceEnd, DeepgramTranscriptionResult],
+        time_silent: float,
+    ) -> Tuple[bool, dict]:
+        endpointing_config = self.transcriber_config.endpointing_config
+        assert endpointing_config is not None
+
+        log_params = {"endpointing_type": endpointing_config.type}
+
+        if isinstance(
+            endpointing_config,
+            TimeEndpointingConfig,
         ):
             # if it is time based, then return true if there is no transcript
             # and there is some speech to send
             # and the time_silent is greater than the cutoff
             return (
-                not transcript
-                and current_buffer
-                and (time_silent + deepgram_response["duration"])
-                > self.transcriber_config.endpointing_config.time_cutoff_seconds
+                self._satisfies_time_cutoff(
+                    seconds=endpointing_config.time_cutoff_seconds,
+                    deepgram_response=deepgram_response,
+                    current_buffer=current_buffer,
+                    time_silent=time_silent,
+                ),
+                log_params,
             )
-        elif (
-            self.transcriber_config.endpointing_config.type
-            == EndpointingType.PUNCTUATION_BASED
+        elif isinstance(
+            endpointing_config,
+            DeepgramEndpointingConfig,
         ):
-            return (
-                transcript
-                and deepgram_response["speech_final"]
-                and transcript.strip()[-1] in PUNCTUATION_TERMINATORS
-            ) or (
-                not transcript
-                and current_buffer
-                and (time_silent + deepgram_response["duration"])
-                > self.transcriber_config.endpointing_config.time_cutoff_seconds
-            )
-        raise Exception("Endpointing config not supported")
+            if (
+                isinstance(deepgram_response, DeepgramTranscriptionResult)
+                and self.is_first_transcription
+                and endpointing_config.use_single_utterance_endpointing_for_first_utterance
+            ):
+                if (
+                    deepgram_response.top_choice.transcript
+                    and deepgram_response.top_choice.transcript.strip()[-1]
+                    in PUNCTUATION_TERMINATORS
+                ):
+                    log_params["source"] = "is_final"
+                    return True, log_params
+            if isinstance(deepgram_response, DeepgramUtteranceEnd):
+                log_params["source"] = "utterance_end"
+                return True, log_params
+            elif isinstance(deepgram_response, DeepgramTranscriptionResult):
+                if deepgram_response.top_choice.transcript and deepgram_response.speech_final:
+                    log_params["source"] = "speech_final"
+                    return True, log_params
+                elif (
+                    endpointing_config.time_silent_config is not None
+                    and self._compute_is_endpoint_and_update_log_params_based_on_time_silent(
+                        current_buffer,
+                        deepgram_response,
+                        time_silent,
+                        endpointing_config.time_silent_config,
+                        log_params,
+                    )
+                ):
+                    return True, log_params
+            return False, log_params
 
-    def calculate_time_silent(self, data: dict):
-        end = data["start"] + data["duration"]
-        words = data["channel"]["alternatives"][0]["words"]
+        if isinstance(deepgram_response, DeepgramTranscriptionResult):
+            if isinstance(
+                endpointing_config,
+                PunctuationEndpointingConfig,
+            ):
+                if (
+                    deepgram_response.top_choice.transcript
+                    and deepgram_response.speech_final
+                    and deepgram_response.top_choice.transcript.strip()[-1]
+                    in PUNCTUATION_TERMINATORS
+                ):
+                    log_params["source"] = "punctuation"
+                    return True, log_params
+                elif self._satisfies_time_cutoff(
+                    seconds=endpointing_config.time_cutoff_seconds
+                    * (1.0 / self._get_speed_coefficient()),
+                    deepgram_response=deepgram_response,
+                    current_buffer=current_buffer,
+                    time_silent=time_silent,
+                ):
+                    log_params["source"] = "time_cutoff"
+                    return True, log_params
+            elif isinstance(
+                endpointing_config,
+                InternalPunctuationEndpointingConfig,
+            ):
+                if (
+                    self.is_first_transcription
+                    and endpointing_config.use_single_utterance_endpointing_for_first_utterance
+                ):
+                    if deepgram_response.top_choice.transcript and deepgram_response.speech_final:
+                        log_params["source"] = "speech_final"
+                        return True, log_params
+                if self._compute_is_endpoint_and_update_log_params_based_on_time_silent(
+                    current_buffer,
+                    deepgram_response,
+                    time_silent,
+                    endpointing_config.time_silent_config,
+                    log_params,
+                ):
+                    return True, log_params
+        return False, log_params
+
+    def calculate_time_silent(self, deepgram_transcription_result: DeepgramTranscriptionResult):
+        end = deepgram_transcription_result.start + deepgram_transcription_result.duration
+        words = deepgram_transcription_result.top_choice.words
         if words:
             return end - words[-1]["end"]
-        return data["duration"]
+        return deepgram_transcription_result.duration
+
+    def calculate_duration(self, words: List[dict]) -> float:
+        if len(words) == 0:
+            return 0.0
+        return words[-1]["end"] - words[0]["start"]
 
     async def process(self):
-        self.audio_cursor = 0.
-        extra_headers = {"Authorization": f"Token {self.api_key}"}
-
-        async with websockets.connect(
-            self.get_deepgram_url(), extra_headers=extra_headers
-        ) as ws:
-
-            async def sender(ws: WebSocketClientProtocol):  # sends audio to websocket
-                while not self._ended:
-                    try:
-                        data = await asyncio.wait_for(self.input_queue.get(), 5)
-                    except asyncio.exceptions.TimeoutError:
-                        break
-                    num_channels = 1
-                    sample_width = 2
-                    self.audio_cursor += len(data) / (
-                        self.transcriber_config.sampling_rate
-                        * num_channels
-                        * sample_width
-                    )
-                    await ws.send(data)
-                self.logger.debug("Terminating Deepgram transcriber sender")
-
-            async def receiver(ws: WebSocketClientProtocol):
-                buffer = ""
-                time_silent = 0
-                transcript_cursor = 0.0
-                while not self._ended:
-                    try:
-                        msg = await ws.recv()
-                    except Exception as e:
-                        self.logger.debug(f"Got error {e} in Deepgram receiver")
-                        break
-                    data = json.loads(msg)
-                    if (
-                        not "is_final" in data
-                    ):  # means we've finished receiving transcriptions
-                        break
-                    cur_max_latency = self.audio_cursor - transcript_cursor
-                    transcript_cursor = data["start"] + data["duration"]
-                    cur_min_latency = self.audio_cursor - transcript_cursor
-
-                    avg_latency_hist.record(
-                        (cur_min_latency + cur_max_latency) / 2 * data["duration"]
-                    )
-                    duration_hist.record(data["duration"])
+        self.audio_cursor = 0.0
+        self.start_ts = now()
+
+        additional_headers = {"Authorization": f"Token {self.api_key}"}
+        deepgram_url = self.get_deepgram_url()
+        logger.info(f"Connecting to Deepgram at {deepgram_url}")
+
+        try:
+            async with websockets.connect(
+                deepgram_url, additional_headers=additional_headers
+            ) as ws:
+                self.connected_ts = now()
+
+                async def sender(
+                    ws: ClientConnection,
+                ):  # sends audio to websocket
+                    byte_rate = self.get_byte_rate()
 
-                    # Log max and min latencies
-                    max_latency_hist.record(cur_max_latency)
-                    min_latency_hist.record(max(cur_min_latency, 0))
+                    while not self._ended:
+                        try:
+                            data = await asyncio.wait_for(self._input_queue.get(), 5)
+                        except asyncio.exceptions.TimeoutError:
+                            break
 
-                    is_final = data["is_final"]
-                    speech_final = self.is_speech_final(buffer, data, time_silent)
-                    top_choice = data["channel"]["alternatives"][0]
-                    confidence = top_choice["confidence"]
+                        self.audio_cursor += len(data) / byte_rate
 
-                    if top_choice["transcript"] and confidence > 0.0 and is_final:
-                        buffer = f"{buffer} {top_choice['transcript']}"
+                        if not self.start_sending_ts:
+                            self.start_sending_ts = now()
 
-                    if speech_final:
-                        self.output_queue.put_nowait(
-                            Transcription(
-                                message=buffer, confidence=confidence, is_final=True
+                        await ws.send(data)
+
+                    logger.debug("Terminating Deepgram transcriber sender")
+
+                async def receiver(ws: ClientConnection):
+                    buffer = ""
+                    buffer_avg_confidence = 0.0
+                    num_buffer_utterances = 1
+                    time_silent = 0.0
+                    words_buffer = []
+                    is_final_ts: Optional[datetime] = None
+
+                    while not self._ended:
+                        try:
+                            msg = await ws.recv()
+                            if not self.start_receiving_ts:
+                                self.start_receiving_ts = now()
+                        except Exception as e:
+                            logger.debug(f"Got error {e} in Deepgram receiver")
+                            break
+                        data = json.loads(msg)
+
+                        if "start" in data and "duration" in data:
+                            self._track_transcription_latency(
+                                start=data["start"],
+                                duration=data["duration"],
                             )
-                        )
-                        buffer = ""
-                        time_silent = 0
-                    elif top_choice["transcript"] and confidence > 0.0:
-                        self.output_queue.put_nowait(
-                            Transcription(
-                                message=buffer,
-                                confidence=confidence,
-                                is_final=False,
+
+                        deepgram_response: Union[DeepgramUtteranceEnd, DeepgramTranscriptionResult]
+
+                        if data["type"] == "Results":
+                            deepgram_response = DeepgramTranscriptionResult(
+                                is_final=data["is_final"],
+                                speech_final=data["speech_final"],
+                                top_choice=data["channel"]["alternatives"][0],
+                                duration=data["duration"],
+                                start=data["start"],
                             )
-                        )
-                        time_silent = self.calculate_time_silent(data)
-                    else:
-                        time_silent += data["duration"]
-                self.logger.debug("Terminating Deepgram transcriber receiver")
+                        elif data["type"] == "UtteranceEnd":
+                            deepgram_response = DeepgramUtteranceEnd()
+                        else:
+                            logger.info(f"Ignoring deepgram response type: {data['type']}")
+                            continue
+
+                        if (
+                            isinstance(deepgram_response, DeepgramTranscriptionResult)
+                            and deepgram_response.top_choice.transcript
+                            and deepgram_response.top_choice.confidence > 0.0
+                            and deepgram_response.is_final
+                        ):
+                            words = deepgram_response.top_choice.words
+                            if words:
+                                words_buffer.extend(words)
+                            buffer = f"{buffer} {deepgram_response.top_choice.transcript}"
+                            if buffer_avg_confidence == 0:
+                                buffer_avg_confidence = deepgram_response.top_choice.confidence
+                            else:
+                                buffer_avg_confidence = (
+                                    buffer_avg_confidence
+                                    + deepgram_response.top_choice.confidence
+                                    / (num_buffer_utterances)
+                                ) * (num_buffer_utterances / (num_buffer_utterances + 1))
+                            num_buffer_utterances += 1
+
+                            is_final_ts = now()
+
+                        if buffer and self.is_endpoint(buffer, deepgram_response, time_silent):
+                            output_ts = now()
+                            self._track_latency_of_conversation(
+                                is_final_ts=is_final_ts,
+                                output_ts=output_ts,
+                            )
+                            self.produce_nonblocking(
+                                Transcription(
+                                    message=buffer,
+                                    confidence=buffer_avg_confidence,
+                                    is_final=True,
+                                    duration_seconds=self.calculate_duration(words_buffer),
+                                )
+                            )
+                            buffer = ""
+                            buffer_avg_confidence = 0.0
+                            num_buffer_utterances = 1
+                            time_silent = 0.0
+                            words_buffer = []
+                            is_final_ts = None
+
+                        if isinstance(deepgram_response, DeepgramTranscriptionResult):
+                            if (
+                                isinstance(deepgram_response, DeepgramTranscriptionResult)
+                                and deepgram_response.top_choice.transcript
+                                and deepgram_response.top_choice.confidence > 0.0
+                            ):
+                                if not deepgram_response.is_final:
+                                    interim_message = (
+                                        f"{buffer} {deepgram_response.top_choice.transcript}"
+                                    )
+                                else:
+                                    interim_message = buffer
+
+                                self.produce_nonblocking(
+                                    Transcription(
+                                        message=interim_message,
+                                        confidence=deepgram_response.top_choice.confidence,
+                                        is_final=False,
+                                    )
+                                )
+                                time_silent = self.calculate_time_silent(deepgram_response)
+                            else:
+                                time_silent += deepgram_response.duration
+
+                    logger.debug("Terminating Deepgram transcriber receiver")
+
+                await asyncio.gather(sender(ws), receiver(ws))
+
+        except asyncio.exceptions.TimeoutError:
+            raise
+
+    @sentry_configured
+    def _track_latency_of_transcription_start(
+        self,
+    ):
+        with sentry_create_span(
+            sentry_callable=sentry_sdk.start_span,
+            op=CustomSentrySpans.LATENCY_OF_TRANSCRIPTION_START,
+            start_timestamp=self.start_ts,
+        ) as transcription_span:
+
+            with sentry_create_span(
+                sentry_callable=transcription_span.start_child,
+                op=CustomSentrySpans.START_TO_CONNECTION,
+                start_timestamp=self.start_ts,
+            ) as span:
+                span.finish(end_timestamp=self.connected_ts)
+
+            with sentry_create_span(
+                sentry_callable=transcription_span.start_child,
+                op=CustomSentrySpans.CONNECTED_TO_FIRST_SEND,
+                start_timestamp=self.connected_ts,
+            ) as span:
+                span.finish(end_timestamp=self.start_sending_ts)
+
+            with sentry_create_span(
+                sentry_callable=transcription_span.start_child,
+                op=CustomSentrySpans.FIRST_SEND_TO_FIRST_RECEIVE,
+                start_timestamp=self.start_sending_ts,
+            ) as span:
+                span.finish(end_timestamp=self.start_receiving_ts)
+            transcription_span.finish(end_timestamp=self.start_receiving_ts)
+
+    def _track_transcription_latency(self, start: float, duration: float):
+        cur_max_latency = self.audio_cursor - self.transcript_cursor
+        transcript_cursor = start + duration
+        cur_min_latency = self.audio_cursor - transcript_cursor
+
+        self.max_latency = max(self.max_latency or 0, cur_max_latency)
+        self.min_latency = min(self.min_latency or 10**6, cur_min_latency)
+
+        self.avg_latency_numer += (cur_min_latency + cur_max_latency) / 2 * duration
+        self.avg_latency_denom += duration
+        self.avg_latency = self.avg_latency_numer / (self.avg_latency_denom or 1)
+
+    def _track_latency_of_conversation(
+        self,
+        *,
+        # is_final_spoken_ts: Optional[datetime],
+        is_final_ts: Optional[datetime],
+        output_ts: datetime,
+    ):
+        if not (
+            output_ts
+            and is_final_ts
+            # and is_final_spoken_ts
+        ):
+            logger.info("Skipping latency measurement when not all timestamps are set")
+            return
+
+        if not (output_ts > is_final_ts):  # > is_final_spoken_ts
+            logger.error("Skipping latency measurement when timestamps are not in order")
+            return
+        logger.debug(
+            f"Endpoint detected, tracking endpointing_latency={output_ts - is_final_ts}",
+        )
+
+        # Ideally, we want to start a latency measurement for the entire conversation delay:
+        # from when the user stopped speaking, to the time we start sending audio back.
+        # Currently we don't have a way to find from Deepgram what the timetamp is
+        # corresponding to their 0.0 in the transcript_cursor and we have observed that
+        # the audio_cursor is always less than the transcript cursor, which seems to
+        # indicate there is something off in our math for the audio cursor. The audio cursor
+        # should represent the total number of seconds of audio that we have submitted to
+        # Deepgram and should roughly line up with the transcript cursor.
+        #
+        # Until we can find a reliable way to find is_final_spoken_ts, we are skipping on
+        # sending the transcription_latency span, instead focus on the endpointing_latency
+        #
+        # There was previous work done using the last word "end" cursor offset from Deepgram
+        # in [EPD-926]. However, for similar reasons the logic for adding that to the
+        # start_receiving_ts created on our end resulted in times for that audio that were
+        # later than "is_final" which does not make sense temporally. We believe that is due
+        # to not having an accurate timestamp corresponding to deepgram's 0.0 audio_cursor offset.
+
+        # Span: latency_of_conversation
+
+        # Once we have reliable way to find is_final_spoken_ts we would use that
+        # here instead, and uncomment the transcription_latency span
+        # start_timestamp=is_final_spoken_ts,
+        latency_of_conversation_span = sentry_create_span(
+            sentry_callable=sentry_sdk.start_span,
+            op=CustomSentrySpans.LATENCY_OF_CONVERSATION,
+            start_timestamp=is_final_ts,
+        )
+
+        # Span: latency_of_conversation.transcription_latency
+        # Transcription latency is the time between audio was sent to deepgram for the
+        # last word in the buffer when we set `is_final_ts` and then start
+        # running
+        # Time from `is_final_spoken_ts` to `is_final_ts`
+        # with sentry_create_span(
+        #     sentry_callable=latency_of_conversation_span.start_child,
+        #     op="transcription_latency",
+        #     start_timestamp=is_final_spoken_ts,
+        # ) as span:
+        #     span.finish(end_timestamp=is_final_ts)
 
-            await asyncio.gather(sender(ws), receiver(ws))
+        # Span: latency_of_conversation.endpointing_latency
+        # Endpointing latency is the time from when we receive the last is_final
+        # message from Deepgram and when we send output to the next stage.
+        # Time from `is_final_ts` to `output_ts`
+        if latency_of_conversation_span:
+            with sentry_create_span(
+                sentry_callable=latency_of_conversation_span.start_child,
+                op=CustomSentrySpans.ENDPOINTING_LATENCY,
+                start_timestamp=is_final_ts,
+            ) as span:
+                span.finish(end_timestamp=output_ts)
diff --git a/vocode/streaming/transcriber/factory.py b/vocode/streaming/transcriber/default_factory.py
similarity index 63%
rename from vocode/streaming/transcriber/factory.py
rename to vocode/streaming/transcriber/default_factory.py
index 5974b266c5..3a10443134 100644
--- a/vocode/streaming/transcriber/factory.py
+++ b/vocode/streaming/transcriber/default_factory.py
@@ -1,37 +1,37 @@
-import logging
-from typing import Optional
-import typing
 from vocode.streaming.models.transcriber import (
     AssemblyAITranscriberConfig,
     AzureTranscriberConfig,
     DeepgramTranscriberConfig,
+    GladiaTranscriberConfig,
     GoogleTranscriberConfig,
     RevAITranscriberConfig,
     TranscriberConfig,
-    TranscriberType,
 )
+from vocode.streaming.transcriber.abstract_factory import AbstractTranscriberFactory
 from vocode.streaming.transcriber.assembly_ai_transcriber import AssemblyAITranscriber
+from vocode.streaming.transcriber.azure_transcriber import AzureTranscriber
 from vocode.streaming.transcriber.deepgram_transcriber import DeepgramTranscriber
+from vocode.streaming.transcriber.gladia_transcriber import GladiaTranscriber
 from vocode.streaming.transcriber.google_transcriber import GoogleTranscriber
 from vocode.streaming.transcriber.rev_ai_transcriber import RevAITranscriber
-from vocode.streaming.transcriber.azure_transcriber import AzureTranscriber
 
 
-class TranscriberFactory:
+class DefaultTranscriberFactory(AbstractTranscriberFactory):
     def create_transcriber(
         self,
         transcriber_config: TranscriberConfig,
-        logger: Optional[logging.Logger] = None,
     ):
         if isinstance(transcriber_config, DeepgramTranscriberConfig):
-            return DeepgramTranscriber(transcriber_config, logger=logger)
+            return DeepgramTranscriber(transcriber_config)
         elif isinstance(transcriber_config, GoogleTranscriberConfig):
-            return GoogleTranscriber(transcriber_config, logger=logger)
+            return GoogleTranscriber(transcriber_config)
         elif isinstance(transcriber_config, AssemblyAITranscriberConfig):
-            return AssemblyAITranscriber(transcriber_config, logger=logger)
+            return AssemblyAITranscriber(transcriber_config)
         elif isinstance(transcriber_config, RevAITranscriberConfig):
-            return RevAITranscriber(transcriber_config, logger=logger)
+            return RevAITranscriber(transcriber_config)
         elif isinstance(transcriber_config, AzureTranscriberConfig):
-            return AzureTranscriber(transcriber_config, logger=logger)
+            return AzureTranscriber(transcriber_config)
+        elif isinstance(transcriber_config, GladiaTranscriberConfig):
+            return GladiaTranscriber(transcriber_config)
         else:
             raise Exception("Invalid transcriber config")
diff --git a/vocode/streaming/transcriber/gladia_transcriber.py b/vocode/streaming/transcriber/gladia_transcriber.py
index 7c76007d07..c01b82fc56 100644
--- a/vocode/streaming/transcriber/gladia_transcriber.py
+++ b/vocode/streaming/transcriber/gladia_transcriber.py
@@ -1,22 +1,17 @@
 import asyncio
+import audioop
 import json
-import base64
-import logging
 from typing import Optional
-import websockets
-import audioop
+
 import numpy as np
-from urllib.parse import urlencode
-from vocode import getenv
+import websockets
+from loguru import logger
 
-from vocode.streaming.models.transcriber import GladiaTranscriberConfig
+from vocode import getenv
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.transcriber import GladiaTranscriberConfig, Transcription
 from vocode.streaming.models.websocket import AudioMessage
-from vocode.streaming.transcriber.base_transcriber import (
-    BaseAsyncTranscriber,
-    Transcription,
-)
-from vocode.streaming.models.audio_encoding import AudioEncoding
-
+from vocode.streaming.transcriber.base_transcriber import BaseAsyncTranscriber
 
 GLADIA_URL = "wss://api.gladia.io/audio/text/audio-transcription"
 
@@ -26,7 +21,6 @@ def __init__(
         self,
         transcriber_config: GladiaTranscriberConfig,
         api_key: Optional[str] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         super().__init__(transcriber_config)
         self.api_key = api_key or getenv("GLADIA_API_KEY")
@@ -35,7 +29,6 @@ def __init__(
                 "Please set GLADIA_API_KEY environment variable or pass it as a parameter"
             )
         self._ended = False
-        self.logger = logger or logging.getLogger(__name__)
         if self.transcriber_config.endpointing_config:
             raise Exception("Gladia endpointing config not supported yet")
 
@@ -60,12 +53,12 @@ def send_audio(self, chunk):
         if (
             len(self.buffer) / (2 * self.transcriber_config.sampling_rate)
         ) >= self.transcriber_config.buffer_size_seconds:
-            self.input_queue.put_nowait(self.buffer)
+            self.consume_nonblocking(self.buffer)
             self.buffer = bytearray()
 
-    def terminate(self):
+    async def terminate(self):
         self._ended = True
-        super().terminate()
+        await super().terminate()
 
     async def process(self):
         async with websockets.connect(GLADIA_URL) as ws:
@@ -82,7 +75,7 @@ async def process(self):
             async def sender(ws):
                 while not self._ended:
                     try:
-                        data = await asyncio.wait_for(self.input_queue.get(), 5)
+                        data = await asyncio.wait_for(self._input_queue.get(), 5)
                     except asyncio.exceptions.TimeoutError:
                         break
 
@@ -94,7 +87,7 @@ async def sender(ws):
                             }
                         )
                     )
-                self.logger.debug("Terminating Gladia transcriber sender")
+                logger.debug("Terminating Gladia transcriber sender")
 
             async def receiver(ws):
                 while not self._ended:
@@ -104,14 +97,14 @@ async def receiver(ws):
                         if "error" in data and data["error"]:
                             raise Exception(data["error"])
                     except websockets.exceptions.ConnectionClosedError as e:
-                        self.logger.debug(e)
+                        logger.debug(e)
                         break
 
                     if data:
                         is_final = data["type"] == "final"
 
                         if "transcription" in data and data["transcription"]:
-                            self.output_queue.put_nowait(
+                            self.produce_nonblocking(
                                 Transcription(
                                     message=data["transcription"],
                                     confidence=data["confidence"],
diff --git a/vocode/streaming/transcriber/google_transcriber.py b/vocode/streaming/transcriber/google_transcriber.py
index 7205f74a3d..0241ee7305 100644
--- a/vocode/streaming/transcriber/google_transcriber.py
+++ b/vocode/streaming/transcriber/google_transcriber.py
@@ -1,19 +1,8 @@
-import asyncio
-import logging
-import os
-import time
 import queue
-from typing import Optional
-import threading
-from vocode import getenv
 
-from vocode.streaming.models.audio_encoding import AudioEncoding
-from vocode.streaming.transcriber.base_transcriber import (
-    BaseThreadAsyncTranscriber,
-    Transcription,
-)
-from vocode.streaming.models.transcriber import GoogleTranscriberConfig
-from vocode.streaming.utils import create_loop_in_thread
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.models.transcriber import GoogleTranscriberConfig, Transcription
+from vocode.streaming.transcriber.base_transcriber import BaseThreadAsyncTranscriber
 
 
 # TODO: make this nonblocking so it can run in the main thread, see speech.async_client.SpeechAsyncClient
@@ -21,12 +10,11 @@ class GoogleTranscriber(BaseThreadAsyncTranscriber[GoogleTranscriberConfig]):
     def __init__(
         self,
         transcriber_config: GoogleTranscriberConfig,
-        logger: Optional[logging.Logger] = None,
     ):
         super().__init__(transcriber_config)
 
-        from google.cloud import speech
         import google.auth
+        from google.cloud import speech
 
         google.auth.default()
         self.speech = speech
@@ -64,17 +52,14 @@ def create_google_streaming_config(self):
     def _run_loop(self):
         stream = self.generator()
         requests = (
-            self.speech.StreamingRecognizeRequest(audio_content=content)
-            for content in stream
-        )
-        responses = self.client.streaming_recognize(
-            self.google_streaming_config, requests
+            self.speech.StreamingRecognizeRequest(audio_content=content) for content in stream
         )
+        responses = self.client.streaming_recognize(self.google_streaming_config, requests)
         self.process_responses_loop(responses)
 
-    def terminate(self):
+    async def terminate(self):
         self._ended = True
-        super().terminate()
+        await super().terminate()
 
     def process_responses_loop(self, responses):
         for response in responses:
@@ -95,10 +80,8 @@ def _on_response(self, response):
         message = top_choice.transcript
         confidence = top_choice.confidence
 
-        self.output_janus_queue.sync_q.put_nowait(
-            Transcription(
-                message=message, confidence=confidence, is_final=result.is_final
-            )
+        self.produce_nonblocking(
+            Transcription(message=message, confidence=confidence, is_final=result.is_final)
         )
 
     def generator(self):
diff --git a/vocode/streaming/transcriber/rev_ai_transcriber.py b/vocode/streaming/transcriber/rev_ai_transcriber.py
index 03974139d6..0323969282 100644
--- a/vocode/streaming/transcriber/rev_ai_transcriber.py
+++ b/vocode/streaming/transcriber/rev_ai_transcriber.py
@@ -1,21 +1,19 @@
 import asyncio
 import json
-import logging
+import time
 from typing import Optional
+
 import websockets
-from websockets.client import WebSocketClientProtocol
-from vocode import getenv
-import time
+from loguru import logger
+from websockets.asyncio.client import ClientConnection
 
-from vocode.streaming.transcriber.base_transcriber import (
-    BaseAsyncTranscriber,
-    Transcription,
-)
+from vocode import getenv
 from vocode.streaming.models.transcriber import (
     RevAITranscriberConfig,
-    EndpointingType,
+    TimeEndpointingConfig,
+    Transcription,
 )
-
+from vocode.streaming.transcriber.base_transcriber import BaseAsyncTranscriber
 
 NUM_RESTARTS = 5
 
@@ -29,7 +27,6 @@ def __init__(
         self,
         transcriber_config: RevAITranscriberConfig,
         api_key: Optional[str] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         super().__init__(transcriber_config)
         self.api_key = api_key or getenv("REV_AI_API_KEY")
@@ -39,7 +36,6 @@ def __init__(
             )
         self.closed = False
         self.is_ready = True
-        self.logger = logger or logging.getLogger(__name__)
         self.last_signal_seconds = 0
 
     async def ready(self):
@@ -52,7 +48,9 @@ def get_rev_ai_url(self):
         audio_format = "S16LE"
         channels = 1
 
-        content_type = f"{codec};layout={layout};rate={rate};format={audio_format};channels={channels}"
+        content_type = (
+            f"{codec};layout={layout};rate={rate};format={audio_format};channels={channels}"
+        )
 
         url_params_dict = {
             "access_token": self.api_key,
@@ -60,7 +58,7 @@ def get_rev_ai_url(self):
         }
 
         url_params_arr = [f"{key}={value}" for (key, value) in url_params_dict.items()]
-        url = f"wss://api.rev.ai/speechtotext/v1/stream?" + "&".join(url_params_arr)
+        url = "wss://api.rev.ai/speechtotext/v1/stream?" + "&".join(url_params_arr)
         return url
 
     async def _run_loop(self):
@@ -68,31 +66,29 @@ async def _run_loop(self):
         while not self.closed and restarts < NUM_RESTARTS:
             await self.process()
             restarts += 1
-            self.logger.debug(
-                "Rev AI connection died, restarting, num_restarts: %s", restarts
-            )
+            logger.debug(f"Rev AI connection died, restarting, num_restarts: {restarts}")
 
     async def process(self):
         async with websockets.connect(self.get_rev_ai_url()) as ws:
 
-            async def sender(ws: WebSocketClientProtocol):
+            async def sender(ws: ClientConnection):
                 while not self.closed:
                     try:
-                        data = await asyncio.wait_for(self.input_queue.get(), 5)
+                        data = await asyncio.wait_for(self._input_queue.get(), 5)
                     except asyncio.exceptions.TimeoutError:
                         break
                     await ws.send(data)
                 await ws.close()
-                self.logger.debug("Terminating Rev.AI transcriber sender")
+                logger.debug("Terminating Rev.AI transcriber sender")
 
-            async def receiver(ws: WebSocketClientProtocol):
+            async def receiver(ws: ClientConnection):
                 buffer = ""
 
                 while not self.closed:
                     try:
                         msg = await ws.recv()
                     except Exception as e:
-                        self.logger.debug(f"Got error {e} in Rev.AI receiver")
+                        logger.debug(f"Got error {e} in Rev.AI receiver")
                         break
                     data = json.loads(msg)
 
@@ -103,9 +99,9 @@ async def receiver(ws: WebSocketClientProtocol):
                     if (
                         (len(buffer) > 0)
                         and (self.transcriber_config.endpointing_config)
-                        and (
-                            self.transcriber_config.endpointing_config.type
-                            == EndpointingType.TIME_BASED
+                        and isinstance(
+                            self.transcriber_config.endpointing_config,
+                            TimeEndpointingConfig,
                         )
                         and (
                             getSeconds()
@@ -122,14 +118,12 @@ async def receiver(ws: WebSocketClientProtocol):
 
                     confidence = 1.0
                     if is_done:
-                        self.output_queue.put_nowait(
-                            Transcription(
-                                message=buffer, confidence=confidence, is_final=True
-                            )
+                        self.produce_nonblocking(
+                            Transcription(message=buffer, confidence=confidence, is_final=True)
                         )
                         buffer = ""
                     else:
-                        self.output_queue.put_nowait(
+                        self.produce_nonblocking(
                             Transcription(
                                 message=buffer,
                                 confidence=confidence,
@@ -137,11 +131,12 @@ async def receiver(ws: WebSocketClientProtocol):
                             )
                         )
 
-                self.logger.debug("Terminating Rev.AI transcriber receiver")
+                logger.debug("Terminating Rev.AI transcriber receiver")
 
             await asyncio.gather(sender(ws), receiver(ws))
 
-    def terminate(self):
+    async def terminate(self):
         terminate_msg = json.dumps({"type": "CloseStream"})
-        self.input_queue.put_nowait(terminate_msg)
+        self.consume_nonblocking(terminate_msg)
         self.closed = True
+        await super().terminate()
diff --git a/vocode/streaming/transcriber/whisper_cpp_transcriber.py b/vocode/streaming/transcriber/whisper_cpp_transcriber.py
index 96a12ed47d..f5c0205acc 100644
--- a/vocode/streaming/transcriber/whisper_cpp_transcriber.py
+++ b/vocode/streaming/transcriber/whisper_cpp_transcriber.py
@@ -1,19 +1,15 @@
-import asyncio
-from concurrent.futures import ThreadPoolExecutor
 import ctypes
 import io
 import pathlib
 import wave
-from pydub import AudioSegment
+from concurrent.futures import ThreadPoolExecutor
 
 import numpy as np
-from vocode.streaming.agent.utils import SENTENCE_ENDINGS
-from vocode.streaming.models.transcriber import WhisperCPPTranscriberConfig
-from vocode.streaming.transcriber.base_transcriber import (
-    BaseAsyncTranscriber,
-    BaseThreadAsyncTranscriber,
-    Transcription,
-)
+from pydub import AudioSegment
+
+from vocode.streaming.constants import SENTENCE_ENDINGS
+from vocode.streaming.models.transcriber import Transcription, WhisperCPPTranscriberConfig
+from vocode.streaming.transcriber.base_transcriber import BaseThreadAsyncTranscriber
 from vocode.utils.whisper_cpp.helpers import transcribe
 from vocode.utils.whisper_cpp.whisper_params import WhisperFullParams
 
@@ -72,21 +68,15 @@ def _run_loop(self):
             if audio_buffer.tell() >= self.buffer_size * 2:
                 audio_buffer.seek(0)
                 audio_segment = AudioSegment.from_wav(audio_buffer)
-                message, confidence = transcribe(
-                    self.whisper, self.params, self.ctx, audio_segment
-                )
+                message, confidence = transcribe(self.whisper, self.params, self.ctx, audio_segment)
                 message_buffer += message
-                is_final = any(
-                    message_buffer.endswith(ending) for ending in SENTENCE_ENDINGS
-                )
+                is_final = any(message_buffer.endswith(ending) for ending in SENTENCE_ENDINGS)
                 in_memory_wav, audio_buffer = self.create_new_buffer()
-                self.output_queue.put_nowait(
-                    Transcription(
-                        message=message_buffer, confidence=confidence, is_final=is_final
-                    )
+                self.produce_nonblocking(
+                    Transcription(message=message_buffer, confidence=confidence, is_final=is_final)
                 )
                 if is_final:
                     message_buffer = ""
 
-    def terminate(self):
+    async def terminate(self):
         pass
diff --git a/vocode/streaming/user_implemented_agent/base_agent.py b/vocode/streaming/user_implemented_agent/base_agent.py
index 8009be2d85..166bf9d149 100644
--- a/vocode/streaming/user_implemented_agent/base_agent.py
+++ b/vocode/streaming/user_implemented_agent/base_agent.py
@@ -1,5 +1,5 @@
-from fastapi import FastAPI
 import uvicorn
+from fastapi import FastAPI
 
 
 class BaseAgent:
diff --git a/vocode/streaming/user_implemented_agent/restful_agent.py b/vocode/streaming/user_implemented_agent/restful_agent.py
index 5c76f181f3..e8c36f14ac 100644
--- a/vocode/streaming/user_implemented_agent/restful_agent.py
+++ b/vocode/streaming/user_implemented_agent/restful_agent.py
@@ -1,16 +1,10 @@
 # type: ignore
 # to be deprecated
 
-from .base_agent import BaseAgent
-from ..models.agent import (
-    RESTfulAgentInput,
-    RESTfulAgentOutput,
-    RESTfulAgentText,
-    RESTfulAgentEnd,
-)
-from pydantic import BaseModel
 from typing import Union
-from fastapi import APIRouter
+
+from ..models.agent import RESTfulAgentEnd, RESTfulAgentInput, RESTfulAgentOutput, RESTfulAgentText
+from .base_agent import BaseAgent
 
 
 class RESTfulAgent(BaseAgent):
diff --git a/vocode/streaming/utils/__init__.py b/vocode/streaming/utils/__init__.py
index b7e03f1123..31dd24998c 100644
--- a/vocode/streaming/utils/__init__.py
+++ b/vocode/streaming/utils/__init__.py
@@ -1,14 +1,18 @@
 import asyncio
 import audioop
+import random
 import secrets
-from typing import Any
 import wave
 from string import ascii_letters, digits
+from typing import Any, AsyncGenerator, AsyncIterator, Callable, List, Tuple, TypeVar
 
-from ..models.audio_encoding import AudioEncoding
+from vocode.streaming.models.audio import AudioEncoding
 
 custom_alphabet = ascii_letters + digits + ".-_"
 
+ChoiceType = TypeVar("ChoiceType")
+
+
 def create_loop_in_thread(loop: asyncio.AbstractEventLoop, long_running_task=None):
     asyncio.set_event_loop(loop)
     if long_running_task:
@@ -26,9 +30,7 @@ def convert_linear_audio(
 ):
     # downsample
     if input_sample_rate != output_sample_rate:
-        raw_wav, _ = audioop.ratecv(
-            raw_wav, 2, 1, input_sample_rate, output_sample_rate, None
-        )
+        raw_wav, _ = audioop.ratecv(raw_wav, 2, 1, input_sample_rate, output_sample_rate, None)
 
     if output_encoding == AudioEncoding.LINEAR16:
         return raw_wav
@@ -64,5 +66,81 @@ def get_chunk_size_per_second(audio_encoding: AudioEncoding, sampling_rate: int)
 def create_conversation_id() -> str:
     return secrets.token_urlsafe(16)
 
+
+def create_utterance_id() -> str:
+    return secrets.token_hex(16)
+
+
 def remove_non_letters_digits(text):
-    return ''.join(i for i in text if i in custom_alphabet)
+    return "".join(i for i in text if i in custom_alphabet)
+
+
+def unrepeating_randomizer(l: List[ChoiceType]) -> Callable[[], ChoiceType]:
+    last_choice = None
+
+    def next() -> ChoiceType:
+        nonlocal last_choice
+        choice = random.choice(l)
+        while choice == last_choice:
+            choice = random.choice(l)
+        last_choice = choice
+        return choice
+
+    return next
+
+
+AsyncIteratorGenericType = TypeVar("AsyncIteratorGenericType")
+
+
+async def generate_with_is_last(
+    async_gen: AsyncGenerator[AsyncIteratorGenericType, None],
+) -> AsyncGenerator[Tuple[AsyncIteratorGenericType, bool], None]:
+    async_iter = async_gen.__aiter__()
+    try:
+        next_item = await async_iter.__anext__()
+    except StopAsyncIteration:
+        assert False, "Cannot generate with is_last from an empty async generator"
+    while True:
+        try:
+            item = await async_iter.__anext__()
+            yield next_item, False
+            next_item = item
+        except StopAsyncIteration:
+            yield next_item, True
+            break
+
+
+async def generate_from_async_iter_with_lookahead(
+    async_iter: AsyncIterator[AsyncIteratorGenericType],
+    lookahead: int,
+) -> AsyncGenerator[List[AsyncIteratorGenericType], None]:
+    """Yield sliding window lists of length `lookahead + 1` from an async iterator.
+
+    If the length of async iterator < lookahead + 1, then it should just yield the whole
+        async iterator as a list.
+    """
+    assert lookahead > 0
+    buffer = []
+
+    stream_length = 0
+    while True:
+        try:
+            next_item = await async_iter.__anext__()
+            stream_length += 1
+            buffer.append(next_item)
+            if len(buffer) == lookahead + 1:
+                yield buffer
+                buffer = buffer[1:]
+        except StopAsyncIteration:
+            if buffer and stream_length <= lookahead:
+                yield buffer
+            return
+
+
+async def enumerate_async_iter(
+    async_iter: AsyncIterator[AsyncIteratorGenericType],
+) -> AsyncGenerator[Tuple[int, AsyncIteratorGenericType], None]:
+    i = 0
+    async for item in async_iter:
+        yield i, item
+        i += 1
diff --git a/vocode/streaming/utils/async_requester.py b/vocode/streaming/utils/async_requester.py
new file mode 100644
index 0000000000..d3577f5909
--- /dev/null
+++ b/vocode/streaming/utils/async_requester.py
@@ -0,0 +1,30 @@
+from typing import Optional
+
+import aiohttp
+import httpx
+from aiohttp import BaseConnector
+from pydantic import BaseModel
+
+from vocode.streaming.utils.singleton import Singleton
+
+
+class AsyncRequestor(Singleton):
+    def __init__(self, connector: Optional[BaseConnector] = None):
+        self.session = aiohttp.ClientSession(connector=connector)
+        self.async_client = httpx.AsyncClient()
+        self.connector = connector
+
+    def get_session(self):
+        if self.session.closed:
+            self.session = aiohttp.ClientSession(connector=self.connector)
+        return self.session
+
+    def get_client(self):
+        return self.async_client
+
+    async def close_session(self):
+        if not self.session.closed:
+            await self.session.close()
+
+    async def close_client(self):
+        await self.async_client.aclose()
diff --git a/vocode/streaming/utils/audio_pipeline.py b/vocode/streaming/utils/audio_pipeline.py
new file mode 100644
index 0000000000..60fcd2f449
--- /dev/null
+++ b/vocode/streaming/utils/audio_pipeline.py
@@ -0,0 +1,21 @@
+from abc import abstractmethod
+from typing import Generic, TypeVar
+
+from vocode.streaming.output_device.abstract_output_device import AbstractOutputDevice
+from vocode.streaming.utils.events_manager import EventsManager
+from vocode.streaming.utils.worker import AbstractWorker
+
+OutputDeviceType = TypeVar("OutputDeviceType", bound=AbstractOutputDevice)
+
+
+class AudioPipeline(AbstractWorker[bytes], Generic[OutputDeviceType]):
+    output_device: OutputDeviceType
+    events_manager: EventsManager
+    id: str
+
+    def receive_audio(self, chunk: bytes):
+        self.consume_nonblocking(chunk)
+
+    @abstractmethod
+    def is_active(self):
+        raise NotImplementedError
diff --git a/vocode/streaming/utils/conversation_logger_adapter.py b/vocode/streaming/utils/conversation_logger_adapter.py
deleted file mode 100644
index fc1efd1a8c..0000000000
--- a/vocode/streaming/utils/conversation_logger_adapter.py
+++ /dev/null
@@ -1,13 +0,0 @@
-# A logger adapter that adds a conversation_id to the log message.
-
-import logging
-
-class ConversationLoggerAdapter(logging.LoggerAdapter):
-    def process(self, msg, kwargs):
-        return '[%s] %s' % (self.extra['conversation_id'], msg), kwargs
-
-def wrap_logger(logger, conversation_id):
-    if isinstance(logger, ConversationLoggerAdapter):
-        return logger
-    else:
-      return ConversationLoggerAdapter(logger, {'conversation_id': conversation_id})
diff --git a/vocode/streaming/utils/create_task.py b/vocode/streaming/utils/create_task.py
new file mode 100644
index 0000000000..0680709c5e
--- /dev/null
+++ b/vocode/streaming/utils/create_task.py
@@ -0,0 +1,16 @@
+import asyncio
+import functools
+
+from loguru import logger
+
+tasks_registry = []
+
+
+def asyncio_create_task(
+    *args,
+    **kwargs,
+) -> asyncio.Task:
+    task = asyncio.create_task(*args, **kwargs)
+    tasks_registry.append(task)
+    task.add_done_callback(lambda t: tasks_registry.remove(t))
+    return task
diff --git a/vocode/streaming/utils/dtmf_utils.py b/vocode/streaming/utils/dtmf_utils.py
new file mode 100644
index 0000000000..fbf80eed4a
--- /dev/null
+++ b/vocode/streaming/utils/dtmf_utils.py
@@ -0,0 +1,72 @@
+import audioop
+from enum import Enum
+from typing import Dict, Tuple
+
+import numpy as np
+
+from vocode.streaming.models.audio import AudioEncoding
+from vocode.streaming.utils.singleton import Singleton
+
+DEFAULT_DTMF_TONE_LENGTH_SECONDS = 0.3
+DEFAULT_DTMF_TONE_SILENCE_SECONDS = 0.1
+MAX_INT = 32767
+
+
+class KeypadEntry(str, Enum):
+    ONE = "1"
+    TWO = "2"
+    THREE = "3"
+    FOUR = "4"
+    FIVE = "5"
+    SIX = "6"
+    SEVEN = "7"
+    EIGHT = "8"
+    NINE = "9"
+    ZERO = "0"
+    POUND = "#"
+    STAR = "*"
+
+
+DTMF_FREQUENCIES = {
+    KeypadEntry.ONE: (697, 1209),
+    KeypadEntry.TWO: (697, 1336),
+    KeypadEntry.THREE: (697, 1477),
+    KeypadEntry.FOUR: (770, 1209),
+    KeypadEntry.FIVE: (770, 1336),
+    KeypadEntry.SIX: (770, 1477),
+    KeypadEntry.SEVEN: (852, 1209),
+    KeypadEntry.EIGHT: (852, 1336),
+    KeypadEntry.NINE: (852, 1477),
+    KeypadEntry.ZERO: (941, 1336),
+    KeypadEntry.STAR: (941, 1209),
+    KeypadEntry.POUND: (941, 1477),
+}
+
+
+class DTMFToneGenerator(Singleton):
+
+    def __init__(self):
+        self.tone_cache: Dict[Tuple[KeypadEntry, int, AudioEncoding], bytes] = {}
+
+    def generate(
+        self,
+        keypad_entry: KeypadEntry,
+        sampling_rate: int,
+        audio_encoding: AudioEncoding,
+        duration_seconds: float = DEFAULT_DTMF_TONE_LENGTH_SECONDS,
+        silence_seconds: float = DEFAULT_DTMF_TONE_SILENCE_SECONDS,
+    ) -> bytes:
+        if (keypad_entry, sampling_rate, audio_encoding) in self.tone_cache:
+            return self.tone_cache[(keypad_entry, sampling_rate, audio_encoding)]
+        f1, f2 = DTMF_FREQUENCIES[keypad_entry]
+        t = np.linspace(0, duration_seconds, int(sampling_rate * duration_seconds), endpoint=False)
+        tone = np.sin(2 * np.pi * f1 * t) + np.sin(2 * np.pi * f2 * t)
+        tone = tone / np.max(np.abs(tone))  # Normalize to [-1, 1]
+        pcm = (tone * MAX_INT).astype(np.int16).tobytes()
+        pcm += b"\0" * int(silence_seconds * sampling_rate * 2)
+        if audio_encoding == AudioEncoding.MULAW:
+            output = audioop.lin2ulaw(pcm, 2)
+        else:
+            output = pcm
+        self.tone_cache[(keypad_entry, sampling_rate, audio_encoding)] = output
+        return output
diff --git a/vocode/streaming/utils/events_manager.py b/vocode/streaming/utils/events_manager.py
index b6310cf563..420760ac16 100644
--- a/vocode/streaming/utils/events_manager.py
+++ b/vocode/streaming/utils/events_manager.py
@@ -3,6 +3,8 @@
 import asyncio
 from typing import List
 
+from loguru import logger
+
 from vocode.streaming.models.events import Event, EventType
 
 
@@ -13,7 +15,7 @@ def __init__(self, subscriptions: List[EventType] = []):
         self.active = False
 
     def publish_event(self, event: Event):
-        if event.type in self.subscriptions:
+        if event and event.type in self.subscriptions:
             self.queue.put_nowait(event)
 
     async def start(self):
@@ -23,6 +25,8 @@ async def start(self):
                 event = await self.queue.get()
             except asyncio.QueueEmpty:
                 await asyncio.sleep(1)
+            except asyncio.CancelledError:
+                break
             await self.handle_event(event)
 
     async def handle_event(self, event: Event):
@@ -36,3 +40,10 @@ async def flush(self):
                 await self.handle_event(event)
             except asyncio.QueueEmpty:
                 break
+            except TypeError as e:
+                if "NoneType can't be used in 'await' expression" in str(e):
+                    logger.error(
+                        "Handle event was overridden with non-async function. Please override with async function."
+                    )
+                else:
+                    raise e from e
diff --git a/vocode/streaming/utils/goodbye_model.py b/vocode/streaming/utils/goodbye_model.py
deleted file mode 100644
index c500158d68..0000000000
--- a/vocode/streaming/utils/goodbye_model.py
+++ /dev/null
@@ -1,93 +0,0 @@
-import os
-import asyncio
-from typing import Optional
-import openai
-import numpy as np
-import requests
-
-from vocode import getenv
-
-SIMILARITY_THRESHOLD = 0.9
-EMBEDDING_SIZE = 1536
-GOODBYE_PHRASES = [
-    "bye",
-    "goodbye",
-    "see you",
-    "see you later",
-    "talk to you later",
-    "talk to you soon",
-    "have a good day",
-    "have a good night",
-]
-
-
-class GoodbyeModel:
-    def __init__(
-        self,
-        embeddings_cache_path=os.path.join(
-            os.path.dirname(__file__), "goodbye_embeddings"
-        ),
-        openai_api_key: Optional[str] = None,
-    ):
-        openai.api_key = openai_api_key or getenv("OPENAI_API_KEY")
-        if not openai.api_key:
-            raise ValueError("OPENAI_API_KEY must be set in environment or passed in")
-        self.embeddings_cache_path = embeddings_cache_path
-        self.goodbye_embeddings: Optional[np.ndarray] = None
-
-    async def initialize_embeddings(self):
-        self.goodbye_embeddings = await self.load_or_create_embeddings(
-            f"{self.embeddings_cache_path}/goodbye_embeddings.npy"
-        )
-
-    async def load_or_create_embeddings(self, path):
-        if os.path.exists(path):
-            return np.load(path)
-        else:
-            embeddings = await self.create_embeddings()
-            np.save(path, embeddings)
-            return embeddings
-
-    async def create_embeddings(self):
-        print("Creating embeddings...")
-        size = EMBEDDING_SIZE
-        embeddings = np.empty((size, len(GOODBYE_PHRASES)))
-        for i, goodbye_phrase in enumerate(GOODBYE_PHRASES):
-            embeddings[:, i] = await self.create_embedding(goodbye_phrase)
-        return embeddings
-
-    async def is_goodbye(self, text: str) -> bool:
-        assert self.goodbye_embeddings is not None, "Embeddings not initialized"
-        if "bye" in text.lower():
-            return True
-        embedding = await self.create_embedding(text.strip().lower())
-        similarity_results = embedding @ self.goodbye_embeddings
-        return np.max(similarity_results) > SIMILARITY_THRESHOLD
-
-    async def create_embedding(self, text) -> np.ndarray:
-        params = {
-            "input": text,
-        }
-
-        engine = getenv("AZURE_OPENAI_TEXT_EMBEDDING_ENGINE")
-        if engine:
-            params["engine"] = engine
-        else:
-            params["model"] = "text-embedding-ada-002"
-
-        return np.array(
-            (await openai.Embedding.acreate(**params))["data"][0]["embedding"]
-        )
-
-
-if __name__ == "__main__":
-    from dotenv import load_dotenv
-
-    load_dotenv()
-
-    async def main():
-        model = GoodbyeModel()
-        while True:
-            print(await model.is_goodbye(input("Text: ")))
-
-    asyncio.run(main())
diff --git a/vocode/streaming/utils/mp3_helper.py b/vocode/streaming/utils/mp3_helper.py
index b0a2af915d..2e3cbea4a8 100644
--- a/vocode/streaming/utils/mp3_helper.py
+++ b/vocode/streaming/utils/mp3_helper.py
@@ -1,5 +1,6 @@
 import io
 import wave
+
 import miniaudio
 
 
diff --git a/vocode/streaming/utils/phone_numbers.py b/vocode/streaming/utils/phone_numbers.py
new file mode 100644
index 0000000000..0a97432271
--- /dev/null
+++ b/vocode/streaming/utils/phone_numbers.py
@@ -0,0 +1,42 @@
+import phonenumbers
+from phonenumbers import PhoneNumberFormat
+
+NUMBER_PARSE_ERROR = "Input number cannot be interpreted as a phone number. If passing an international number, please include the country code (e.g. +49 for German numbers)"
+
+
+def parse_number_e164(phone_number: str) -> phonenumbers.PhoneNumber:
+    if not phone_number.startswith("+"):
+        phone_number = "+" + phone_number
+    return phonenumbers.parse(phone_number, None)
+
+
+def parse_number_usa_fallback_to_e164(phone_number: str) -> phonenumbers.PhoneNumber:
+    try:
+        phone_number_obj = phonenumbers.parse(phone_number, "US")
+        valid = phonenumbers.is_valid_number(phone_number_obj)
+        return phone_number_obj if valid else parse_number_e164(phone_number)
+    except phonenumbers.phonenumberutil.NumberParseException:
+        return parse_number_e164(phone_number)
+
+
+def parse_phone_number(phone_number: str) -> phonenumbers.PhoneNumber:
+    if phone_number.startswith("+"):
+        # If we have a plus we know its e164
+        return parse_number_e164(phone_number)
+    else:
+        # If we don't have a plus, we try as USA with e164 fallback
+        return parse_number_usa_fallback_to_e164(phone_number)
+
+
+def sanitize_phone_number(phone_number: str) -> str:
+    phone_number_obj: phonenumbers.PhoneNumber
+
+    try:
+        phone_number_obj = parse_phone_number(phone_number)
+    except Exception:
+        raise ValueError(NUMBER_PARSE_ERROR)
+
+    if not phonenumbers.is_valid_number(phone_number_obj):
+        raise ValueError(NUMBER_PARSE_ERROR)
+
+    return phonenumbers.format_number(phone_number_obj, PhoneNumberFormat.E164).replace("+", "")
diff --git a/vocode/streaming/utils/redis.py b/vocode/streaming/utils/redis.py
new file mode 100644
index 0000000000..4d492c452a
--- /dev/null
+++ b/vocode/streaming/utils/redis.py
@@ -0,0 +1,79 @@
+import os
+from typing import Optional, TypeVar
+
+from loguru import logger
+from redis.asyncio import Redis
+from redis.backoff import ExponentialBackoff, NoBackoff
+from redis.exceptions import ConnectionError, TimeoutError
+from redis.retry import Retry
+
+from vocode.streaming.utils.singleton import Singleton
+
+WorkerInputType = TypeVar("WorkerInputType")
+# Two separate factories for Redis clients so that the
+# typing gets picked up properly
+
+
+def initialize_redis(retries: int = 1):
+    backoff = ExponentialBackoff() if retries > 1 else NoBackoff()
+    retry = Retry(backoff, retries)
+    return Redis(  # type: ignore
+        host=os.environ.get("REDISHOST", "localhost"),
+        port=int(os.environ.get("REDISPORT", 6379)),
+        username=os.environ.get("REDISUSER", None),
+        password=os.environ.get("REDISPASSWORD", None),
+        decode_responses=True,
+        retry=retry,
+        ssl=bool(os.environ.get("REDISSSL", False)),
+        ssl_cert_reqs="none",
+        retry_on_error=[ConnectionError, TimeoutError],
+        health_check_interval=30,
+    )
+
+
+def initialize_redis_bytes():
+    return Redis(
+        host=os.environ.get("REDISHOST", "localhost"),
+        port=int(os.environ.get("REDISPORT", 6379)),
+        username=os.environ.get("REDISUSER", None),
+        password=os.environ.get("REDISPASSWORD", None),
+        db=0,
+        ssl=bool(os.environ.get("REDISSSL", False)),
+        ssl_cert_reqs="none",
+    )
+
+
+class RedisGenericMessageQueue(Singleton):
+    """Class representing a Redis Streams message queue."""
+
+    def __init__(
+        self,
+        prefix: Optional[str] = None,
+        suffix: Optional[str] = None,
+    ) -> None:
+        """
+        Initialize a RedisGenericMessageQueue instance.
+
+        This initializes a Redis client and sets the name of the stream.
+        """
+        self.redis: Redis = initialize_redis()
+        queue_name_prefix = f"{prefix}_" if prefix else ""
+        queue_name_suffix = f"_{suffix}" if suffix else ""
+        self.queue_name = f"{queue_name_prefix}queue{queue_name_suffix}"
+
+    async def publish(self, message: dict) -> None:
+        """
+        Publishes a message to the Redis stream.
+
+        Args:
+            message (dict): The message to be published.
+
+        Returns:
+            None
+        """
+        logger.info(f"[{self.queue_name}] Publishing message: {message}")
+        try:
+            await self.redis.xadd(self.queue_name, message)
+        except Exception as e:
+            logger.exception(f"[{self.queue_name}] Failed to publish message: {message}")
+            raise e
diff --git a/vocode/streaming/utils/redis_conversation_message_queue.py b/vocode/streaming/utils/redis_conversation_message_queue.py
new file mode 100644
index 0000000000..a4c6e00caa
--- /dev/null
+++ b/vocode/streaming/utils/redis_conversation_message_queue.py
@@ -0,0 +1,35 @@
+from typing import AsyncGenerator
+
+from loguru import logger
+from pydantic.v1 import BaseModel, parse_obj_as
+from redis.asyncio import Redis
+
+from vocode.streaming.utils.redis import initialize_redis
+from vocode.streaming.utils.singleton import Singleton
+
+
+class RedisMessage(BaseModel):
+    type: str
+
+
+class RedisConversationMessageQueue(Singleton):
+    def __init__(self):
+        self.redis: Redis = initialize_redis()
+
+    async def publish(self, conversation_id: str, message: RedisMessage):
+        logger.info(f"Publishing message to {conversation_id}")
+        await self.redis.xadd(f"{conversation_id}:stream", message.dict())  # type: ignore
+
+    async def wait_for_messages(
+        self, conversation_id: str, timeout_seconds: int = 20
+    ) -> AsyncGenerator[RedisMessage, None]:
+        logger.info(f"Waiting for message from {conversation_id}")
+        streams = await self.redis.xread(
+            {f"{conversation_id}:stream": "$"}, block=timeout_seconds * 1000
+        )
+        for _, stream in streams:  # stream_id, stream
+            for _, message in stream:  # timestamp, message
+                yield parse_obj_as(RedisMessage, message)  # type: ignore
+
+    async def clear_stream(self, conversation_id: str):
+        await self.redis.delete(f"{conversation_id}:stream")
diff --git a/vocode/streaming/utils/singleton.py b/vocode/streaming/utils/singleton.py
new file mode 100644
index 0000000000..eefcd9c127
--- /dev/null
+++ b/vocode/streaming/utils/singleton.py
@@ -0,0 +1,14 @@
+from typing import Any, Dict
+
+
+class SingletonMeta(type):
+    _instances: Dict[Any, Any] = {}
+
+    def __call__(cls, *args, **kwargs):
+        if cls not in cls._instances:
+            cls._instances[cls] = super().__call__(*args, **kwargs)
+        return cls._instances[cls]
+
+
+class Singleton(metaclass=SingletonMeta):
+    pass
diff --git a/vocode/streaming/utils/speed_manager.py b/vocode/streaming/utils/speed_manager.py
new file mode 100644
index 0000000000..421524f4d6
--- /dev/null
+++ b/vocode/streaming/utils/speed_manager.py
@@ -0,0 +1,44 @@
+from loguru import logger
+
+from vocode.streaming.models.transcriber import Transcription
+
+LEARNING_RATE = 0.1
+LENGTH_THRESHOLD = 5
+SMOOTHING_FACTOR = 3
+BASE_WPM = 150.0
+
+
+class SpeedManager:
+    """
+    Uses the WPM of incoming transcriptions to update a speed coefficient to inform conversation orchestration.
+
+    speed_coefficient is used in two places (currently):
+    - DeepgramTranscriber endpointing - when we receive fast utterances from the user, we decrease the endpointing threshold to match the speed of the user
+    - Interruption logic - if the user is speaking slowly, then when the agent is responding to an interrupt, we wait longer
+
+    Initializes with a speed coefficient of 1.0, which corresponds to a WPM of 150.0 and uses a moving average to update the speed coefficient based on incoming transcriptions.
+    """
+
+    def __init__(self, speed_coefficient: float = 1.0):
+        self.wpm_0 = BASE_WPM * speed_coefficient
+        self.wpm = self.wpm_0
+        self.speed_coefficient = speed_coefficient
+
+    def update(self, transcription: Transcription):
+        transcription_wpm = transcription.wpm()
+        if transcription_wpm is not None:
+            length = len(transcription.message.strip().split())
+            p_t = min(
+                1,
+                LEARNING_RATE
+                * ((length + SMOOTHING_FACTOR) / (LENGTH_THRESHOLD + SMOOTHING_FACTOR)),
+            )
+            self.wpm = self.wpm * (1 - p_t) + transcription_wpm * p_t
+            self.speed_coefficient = self.wpm / BASE_WPM
+            logger.info(f"Set speed coefficient to {self.speed_coefficient}")
+
+    def get_speed_coefficient(self):
+        return self.speed_coefficient
+
+    def get_wpm(self):
+        return self.wpm
diff --git a/vocode/streaming/utils/state_manager.py b/vocode/streaming/utils/state_manager.py
index b45f6704ee..c439bc30e2 100644
--- a/vocode/streaming/utils/state_manager.py
+++ b/vocode/streaming/utils/state_manager.py
@@ -1,23 +1,85 @@
-import asyncio
 from typing import TYPE_CHECKING, Optional
-from vocode.streaming.models.message import BaseMessage
+
 from vocode.streaming.models.transcriber import EndpointingConfig
-from vocode.streaming.agent.base_agent import AgentResponseMessage
+from vocode.streaming.synthesizer.input_streaming_synthesizer import InputStreamingSynthesizer
+from vocode.streaming.telephony.client.twilio_client import TwilioClient
+from vocode.streaming.telephony.client.vonage_client import VonageClient
+from vocode.streaming.utils.redis_conversation_message_queue import RedisConversationMessageQueue
 
 if TYPE_CHECKING:
     from vocode.streaming.streaming_conversation import StreamingConversation
-    from vocode.streaming.telephony.conversation.vonage_call import VonageCall
-    from vocode.streaming.telephony.conversation.twilio_call import TwilioCall
+    from vocode.streaming.telephony.conversation.abstract_phone_conversation import (
+        AbstractPhoneConversation,
+    )
+    from vocode.streaming.telephony.conversation.twilio_phone_conversation import (
+        TwilioPhoneConversation,
+    )
+    from vocode.streaming.telephony.conversation.vonage_phone_conversation import (
+        VonagePhoneConversation,
+    )
+
+
+# TODO: make this a proper ABC
+class AbstractConversationStateManager:
+    @property
+    def logger(self):
+        raise NotImplementedError
+
+    @property
+    def transcript(self):
+        raise NotImplementedError
+
+    def get_transcriber_endpointing_config(self) -> Optional[EndpointingConfig]:
+        raise NotImplementedError
+
+    def set_transcriber_endpointing_config(self, endpointing_config: EndpointingConfig):
+        raise NotImplementedError
+
+    def disable_synthesis(self):
+        raise NotImplementedError
+
+    def enable_synthesis(self):
+        raise NotImplementedError
+
+    def mute_agent(self):
+        raise NotImplementedError
+
+    def unmute_agent(self):
+        raise NotImplementedError
+
+    def using_input_streaming_synthesizer(self):
+        raise NotImplementedError
+
+    async def terminate_conversation(self):
+        raise NotImplementedError
+
+    def get_conversation_id(self):
+        raise NotImplementedError
+
 
+class AbstractPhoneConversationStateManager(AbstractConversationStateManager):
+    def get_config_manager(self):
+        raise NotImplementedError
 
-class ConversationStateManager:
+    def get_to_phone(self):
+        raise NotImplementedError
+
+    def get_from_phone(self):
+        raise NotImplementedError
+
+
+class ConversationStateManager(AbstractConversationStateManager):
     def __init__(self, conversation: "StreamingConversation"):
         self._conversation = conversation
+        if not hasattr(self, "redis_message_queue"):
+            self.redis_message_queue = RedisConversationMessageQueue()
+
+    @property
+    def transcript(self):
+        return self._conversation.transcript
 
     def get_transcriber_endpointing_config(self) -> Optional[EndpointingConfig]:
-        return (
-            self._conversation.transcriber.get_transcriber_config().endpointing_config
-        )
+        return self._conversation.transcriber.get_transcriber_config().endpointing_config
 
     def set_transcriber_endpointing_config(self, endpointing_config: EndpointingConfig):
         assert self.get_transcriber_endpointing_config() is not None
@@ -37,30 +99,72 @@ def mute_agent(self):
     def unmute_agent(self):
         self._conversation.agent.is_muted = False
 
+    def using_input_streaming_synthesizer(self):
+        return isinstance(
+            self._conversation.synthesizer,
+            InputStreamingSynthesizer,
+        )
+
     async def terminate_conversation(self):
-        await self._conversation.terminate()
-
-    def send_bot_message(self, message: BaseMessage) -> asyncio.Event:
-        # returns an asyncio.Event that will be set when the agent has finished uttering the message
-        agent_response_tracker = asyncio.Event()
-        self._conversation.agent.produce_interruptible_agent_response_event_nonblocking(
-            item=AgentResponseMessage(
-                message=message,
-                is_interruptible=False,
-            ),
-            is_interruptible=False,
-            agent_response_tracker=agent_response_tracker,
+        self._conversation.mark_terminated()
+
+    def set_call_check_for_idle_paused(self, value: bool):
+        if not self._conversation:
+            return
+        self._conversation.set_check_for_idle_paused(value)
+
+    def get_conversation_id(self):
+        return self._conversation.id
+
+
+class PhoneConversationStateManager(
+    AbstractPhoneConversationStateManager, ConversationStateManager
+):
+    def __init__(self, conversation: "AbstractPhoneConversation"):
+        ConversationStateManager.__init__(self, conversation)
+        self._phone_conversation = conversation
+
+    def get_config_manager(self):
+        return self._phone_conversation.config_manager
+
+    def get_to_phone(self):
+        return self._phone_conversation.to_phone
+
+    def get_from_phone(self):
+        return self._phone_conversation.from_phone
+
+    def get_direction(self):
+        return self._phone_conversation.direction
+
+
+class VonagePhoneConversationStateManager(PhoneConversationStateManager):
+    def __init__(self, conversation: "VonagePhoneConversation"):
+        super().__init__(conversation=conversation)
+        self._vonage_phone_conversation = conversation
+
+    def get_vonage_uuid(self):
+        return self._vonage_phone_conversation.vonage_uuid
+
+    def create_vonage_client(self):
+        return VonageClient(
+            base_url=self._vonage_phone_conversation.base_url,
+            maybe_vonage_config=self._vonage_phone_conversation.vonage_config,
         )
-        return agent_response_tracker
 
 
-class VonageCallStateManager(ConversationStateManager):
-    def __init__(self, call: "VonageCall"):
-        super().__init__(call)
-        self._call = call
+class TwilioPhoneConversationStateManager(PhoneConversationStateManager):
+    def __init__(self, conversation: "TwilioPhoneConversation"):
+        super().__init__(conversation=conversation)
+        self._twilio_phone_conversation = conversation
 
+    def get_twilio_config(self):
+        return self._twilio_phone_conversation.twilio_config
 
-class TwilioCallStateManager(ConversationStateManager):
-    def __init__(self, call: "TwilioCall"):
-        super().__init__(call)
-        self._call = call
+    def get_twilio_sid(self):
+        return self._twilio_phone_conversation.twilio_sid
+
+    def create_twilio_client(self):
+        return TwilioClient(
+            base_url=self._twilio_phone_conversation.base_url,
+            maybe_twilio_config=self.get_twilio_config(),
+        )
diff --git a/vocode/streaming/utils/worker.py b/vocode/streaming/utils/worker.py
index d015994073..c98e0b653a 100644
--- a/vocode/streaming/utils/worker.py
+++ b/vocode/streaming/utils/worker.py
@@ -2,41 +2,71 @@
 
 import asyncio
 import threading
-import janus
-from typing import Any, Optional
-from typing import TypeVar, Generic
-import logging
+from abc import ABC, abstractmethod
+from typing import Any, Dict, Generic, List, Optional, TypeVar
 
+import janus
+from loguru import logger
 
-logger = logging.getLogger(__name__)
+from vocode.streaming.utils.create_task import asyncio_create_task
 
 WorkerInputType = TypeVar("WorkerInputType")
 
 
-class AsyncWorker(Generic[WorkerInputType]):
+class AbstractWorker(Generic[WorkerInputType], ABC):
+    """
+    A generic processor - knows only how to consume typed items.
+    In order for a worker to process items, clients must invoke start() and tear down with terminate()
+    """
+
+    @abstractmethod
+    def start(self):
+        raise NotImplementedError
+
+    @abstractmethod
+    def consume_nonblocking(self, item: WorkerInputType):
+        raise NotImplementedError
+
+    async def terminate(self):
+        pass
+
+
+class QueueConsumer(AbstractWorker[WorkerInputType]):
+    def __init__(
+        self,
+        input_queue: Optional[asyncio.Queue[WorkerInputType]] = None,
+    ) -> None:
+        self.input_queue: asyncio.Queue[WorkerInputType] = input_queue or asyncio.Queue()
+
+    def consume_nonblocking(self, item: WorkerInputType):
+        self.input_queue.put_nowait(item)
+
+    def start(self):
+        pass
+
+
+class AsyncWorker(AbstractWorker[WorkerInputType]):
     def __init__(
         self,
-        input_queue: asyncio.Queue,
-        output_queue: asyncio.Queue = asyncio.Queue(),
     ) -> None:
         self.worker_task: Optional[asyncio.Task] = None
-        self.input_queue = input_queue
-        self.output_queue = output_queue
+        self._input_queue: asyncio.Queue[WorkerInputType] = asyncio.Queue()
 
     def start(self) -> asyncio.Task:
-        self.worker_task = asyncio.create_task(self._run_loop())
+        self.worker_task = asyncio_create_task(
+            self._run_loop(),
+        )
+        if not self.worker_task:
+            raise Exception("Worker task not created")
         return self.worker_task
 
     def consume_nonblocking(self, item: WorkerInputType):
-        self.input_queue.put_nowait(item)
-
-    def produce_nonblocking(self, item):
-        self.output_queue.put_nowait(item)
+        self._input_queue.put_nowait(item)
 
     async def _run_loop(self):
         raise NotImplementedError
 
-    def terminate(self):
+    async def terminate(self):
         if self.worker_task:
             return self.worker_task.cancel()
 
@@ -46,10 +76,8 @@ def terminate(self):
 class ThreadAsyncWorker(AsyncWorker[WorkerInputType]):
     def __init__(
         self,
-        input_queue: asyncio.Queue[WorkerInputType],
-        output_queue: asyncio.Queue = asyncio.Queue(),
     ) -> None:
-        super().__init__(input_queue, output_queue)
+        super().__init__()
         self.worker_thread: Optional[threading.Thread] = None
         self.input_janus_queue: janus.Queue[WorkerInputType] = janus.Queue()
         self.output_janus_queue: janus.Queue = janus.Queue()
@@ -57,44 +85,37 @@ def __init__(
     def start(self) -> asyncio.Task:
         self.worker_thread = threading.Thread(target=self._run_loop)
         self.worker_thread.start()
-        self.worker_task = asyncio.create_task(self.run_thread_forwarding())
+        self.worker_task = asyncio_create_task(
+            self.run_thread_forwarding(),
+        )
+        if not self.worker_task:
+            raise Exception("Worker task not created")
         return self.worker_task
 
     async def run_thread_forwarding(self):
         try:
-            await asyncio.gather(
-                self._forward_to_thread(),
-                self._forward_from_thead(),
-            )
+            await self._forward_to_thread()
         except asyncio.CancelledError:
             return
 
     async def _forward_to_thread(self):
         while True:
-            item = await self.input_queue.get()
+            item = await self._input_queue.get()
             self.input_janus_queue.async_q.put_nowait(item)
 
-    async def _forward_from_thead(self):
-        while True:
-            item = await self.output_janus_queue.async_q.get()
-            self.output_queue.put_nowait(item)
-
     def _run_loop(self):
         raise NotImplementedError
 
-    def terminate(self):
-        return super().terminate()
 
-
-class AsyncQueueWorker(AsyncWorker):
+class AsyncQueueWorker(AsyncWorker[WorkerInputType]):
     async def _run_loop(self):
         while True:
             try:
-                item = await self.input_queue.get()
+                item = await self._input_queue.get()
                 await self.process(item)
             except asyncio.CancelledError:
                 return
-            except Exception as e:
+            except Exception:
                 logger.exception("AsyncQueueWorker", exc_info=True)
 
     async def process(self, item):
@@ -143,6 +164,10 @@ def __init__(
         super().__init__(payload, is_interruptible, interruption_event)
         self.agent_response_tracker = agent_response_tracker
 
+    def interrupt(self) -> bool:
+        self.agent_response_tracker.set()
+        return super().interrupt()
+
 
 class InterruptibleEventFactory:
     def create_interruptible_event(
@@ -169,56 +194,35 @@ def create_interruptible_agent_response_event(
 class InterruptibleWorker(AsyncWorker[InterruptibleEventType]):
     def __init__(
         self,
-        input_queue: asyncio.Queue[InterruptibleEventType],
-        output_queue: asyncio.Queue = asyncio.Queue(),
         interruptible_event_factory: InterruptibleEventFactory = InterruptibleEventFactory(),
         max_concurrency=2,
     ) -> None:
-        super().__init__(input_queue, output_queue)
-        self.input_queue = input_queue
+        super().__init__()
         self.max_concurrency = max_concurrency
         self.interruptible_event_factory = interruptible_event_factory
         self.current_task = None
         self.interruptible_event = None
 
-    def produce_interruptible_event_nonblocking(
-        self, item: Any, is_interruptible: bool = True
-    ):
-        interruptible_event = (
-            self.interruptible_event_factory.create_interruptible_event(
-                item, is_interruptible=is_interruptible
-            )
-        )
-        return super().produce_nonblocking(interruptible_event)
-
-    def produce_interruptible_agent_response_event_nonblocking(
-        self,
-        item: Any,
-        is_interruptible: bool = True,
-        agent_response_tracker: Optional[asyncio.Event] = None,
-    ):
-        interruptible_utterance_event = (
-            self.interruptible_event_factory.create_interruptible_agent_response_event(
-                item,
-                is_interruptible=is_interruptible,
-                agent_response_tracker=agent_response_tracker or asyncio.Event(),
-            )
-        )
-        return super().produce_nonblocking(interruptible_utterance_event)
-
     async def _run_loop(self):
         # TODO Implement concurrency with max_nb_of_thread
         while True:
-            item = await self.input_queue.get()
+            try:
+                item = await self._input_queue.get()
+            except asyncio.CancelledError:
+                return
+
             if item.is_interrupted():
                 continue
             self.interruptible_event = item
-            self.current_task = asyncio.create_task(self.process(item))
+            self.current_task = asyncio_create_task(
+                self.process(item),
+            )
+
             try:
                 await self.current_task
             except asyncio.CancelledError:
                 return
-            except Exception as e:
+            except Exception:
                 logger.exception("InterruptibleWorker", exc_info=True)
             self.interruptible_event.is_interruptible = False
             self.current_task = None
@@ -246,7 +250,5 @@ def cancel_current_task(self):
         return False
 
 
-class InterruptibleAgentResponseWorker(
-    InterruptibleWorker[InterruptibleAgentResponseEvent]
-):
+class InterruptibleAgentResponseWorker(InterruptibleWorker[InterruptibleAgentResponseEvent]):
     pass
diff --git a/vocode/streaming/vector_db/base_vector_db.py b/vocode/streaming/vector_db/base_vector_db.py
index 7127a2b221..19a0aa3181 100644
--- a/vocode/streaming/vector_db/base_vector_db.py
+++ b/vocode/streaming/vector_db/base_vector_db.py
@@ -1,13 +1,20 @@
 import os
-from typing import Iterable, List, Optional, Tuple
+from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
+
 import aiohttp
-import openai
-from langchain.docstore.document import Document
+from openai import AsyncAzureOpenAI, AsyncOpenAI
+
+from vocode.streaming.models.agent import AZURE_OPENAI_DEFAULT_API_VERSION
+
+if TYPE_CHECKING:
+    from langchain.docstore.document import Document
 
 DEFAULT_OPENAI_EMBEDDING_MODEL = "text-embedding-ada-002"
 
 
 class VectorDB:
+    openai_client: Union[AsyncOpenAI, AsyncAzureOpenAI]
+
     def __init__(
         self,
         aiohttp_session: Optional[aiohttp.ClientSession] = None,
@@ -20,6 +27,20 @@ def __init__(
             self.aiohttp_session = aiohttp.ClientSession()
             self.should_close_session_on_tear_down = True
 
+        self.engine = os.getenv("AZURE_OPENAI_TEXT_EMBEDDING_ENGINE")
+        if self.engine:
+            azure_base = os.getenv("AZURE_OPENAI_API_BASE_EAST_US")
+            azure_base = azure_base if azure_base is not None else ""
+            self.openai_client = AsyncAzureOpenAI(
+                azure_endpoint=azure_base,
+                api_key=os.getenv("AZURE_OPENAI_API_KEY_EAST_US"),
+                api_version=AZURE_OPENAI_DEFAULT_API_VERSION,
+            )
+        else:
+            self.openai_client = AsyncOpenAI(
+                api_key=os.getenv("OPENAI_API_KEY"),
+            )
+
     async def create_openai_embedding(
         self, text, model=DEFAULT_OPENAI_EMBEDDING_MODEL
     ) -> List[float]:
@@ -27,13 +48,9 @@ async def create_openai_embedding(
             "input": text,
         }
 
-        engine = os.getenv("AZURE_OPENAI_TEXT_EMBEDDING_ENGINE")
-        if engine:
-            params["engine"] = engine
-        else:
-            params["model"] = model
+        params["model"] = self.engine if self.engine else model
 
-        return list((await openai.Embedding.acreate(**params))["data"][0]["embedding"])
+        return (await self.openai_client.embeddings.create(**params)).data[0].embedding
 
     async def add_texts(
         self,
@@ -49,7 +66,7 @@ async def similarity_search_with_score(
         query: str,
         filter: Optional[dict] = None,
         namespace: Optional[str] = None,
-    ) -> List[Tuple[Document, float]]:
+    ) -> List[Tuple["Document", float]]:
         raise NotImplementedError
 
     async def tear_down(self):
diff --git a/vocode/streaming/vector_db/factory.py b/vocode/streaming/vector_db/factory.py
index 1889081b71..9ce03bab73 100644
--- a/vocode/streaming/vector_db/factory.py
+++ b/vocode/streaming/vector_db/factory.py
@@ -1,9 +1,12 @@
-import logging
-from typing import Optional
+from typing import TYPE_CHECKING, Optional
+
 import aiohttp
+
 from vocode.streaming.models.vector_db import PineconeConfig, VectorDBConfig
 from vocode.streaming.vector_db.base_vector_db import VectorDB
-from vocode.streaming.vector_db.pinecone import PineconeDB
+
+if TYPE_CHECKING:
+    from vocode.streaming.vector_db.pinecone import PineconeDB
 
 
 class VectorDBFactory:
@@ -13,5 +16,17 @@ def create_vector_db(
         aiohttp_session: Optional[aiohttp.ClientSession] = None,
     ) -> VectorDB:
         if isinstance(vector_db_config, PineconeConfig):
-            return PineconeDB(vector_db_config, aiohttp_session=aiohttp_session)
+            return self._get_pinecone_db(vector_db_config, aiohttp_session)
         raise Exception("Invalid vector db config", vector_db_config.type)
+
+    def _get_pinecone_db(
+        self, vector_db_config: PineconeConfig, aiohttp_session: Optional[aiohttp.ClientSession]
+    ) -> "PineconeDB":
+        try:
+            from vocode.streaming.vector_db.pinecone import PineconeDB
+
+            return PineconeDB(vector_db_config, aiohttp_session=aiohttp_session)
+        except ImportError as e:
+            raise ImportError(
+                f"Missing required dependancies for VectorDB {vector_db_config.type}"
+            ) from e
diff --git a/vocode/streaming/vector_db/pinecone.py b/vocode/streaming/vector_db/pinecone.py
index 646590860d..6dc7453723 100644
--- a/vocode/streaming/vector_db/pinecone.py
+++ b/vocode/streaming/vector_db/pinecone.py
@@ -1,12 +1,16 @@
-import logging
-from typing import Iterable, List, Optional, Tuple
 import uuid
+from typing import Any, Iterable, List, Optional, Tuple, TypeGuard
+
 from langchain.docstore.document import Document
+from loguru import logger
+
 from vocode import getenv
 from vocode.streaming.models.vector_db import PineconeConfig
 from vocode.streaming.vector_db.base_vector_db import VectorDB
 
-logger = logging.getLogger(__name__)
+
+def is_non_empty_string(value: Any) -> TypeGuard[str]:
+    return isinstance(value, str) and len(value) > 0
 
 
 class PineconeDB(VectorDB):
@@ -15,13 +19,12 @@ def __init__(self, config: PineconeConfig, *args, **kwargs) -> None:
         self.config = config
 
         self.index_name = self.config.index
-        self.pinecone_api_key = getenv("PINECONE_API_KEY") or self.config.api_key
-        self.pinecone_environment = (
-            getenv("PINECONE_ENVIRONMENT") or self.config.api_environment
-        )
-        self.pinecone_url = (
-            f"https://{self.index_name}.svc.{self.pinecone_environment}.pinecone.io"
-        )
+        pinecone_api_key = getenv("PINECONE_API_KEY") or self.config.api_key
+        if not is_non_empty_string(pinecone_api_key):
+            raise ValueError("Pinecone API key not set or invalid")
+        self.pinecone_api_key = pinecone_api_key
+        self.pinecone_environment = getenv("PINECONE_ENVIRONMENT") or self.config.api_environment
+        self.pinecone_url = f"https://{self.index_name}.svc.{self.pinecone_environment}.pinecone.io"
         self._text_key = "text"
 
     async def add_texts(
@@ -109,7 +112,5 @@ async def similarity_search_with_score(
                 score = res["score"]
                 docs.append((Document(page_content=text, metadata=metadata), score))
             else:
-                logger.warning(
-                    f"Found document with no `{self._text_key}` key. Skipping."
-                )
+                logger.warning(f"Found document with no `{self._text_key}` key. Skipping.")
         return docs
diff --git a/vocode/turn_based/agent/__init__.py b/vocode/turn_based/agent/__init__.py
deleted file mode 100644
index c0291ecb72..0000000000
--- a/vocode/turn_based/agent/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from vocode.turn_based.agent.base_agent import BaseAgent
-from vocode.turn_based.agent.chat_gpt_agent import ChatGPTAgent
-from vocode.turn_based.agent.echo_agent import EchoAgent
-from vocode.turn_based.agent.gpt4all_agent import GPT4AllAgent
diff --git a/vocode/turn_based/agent/chat_gpt_agent.py b/vocode/turn_based/agent/chat_gpt_agent.py
index e81d9e168e..7171bb7f08 100644
--- a/vocode/turn_based/agent/chat_gpt_agent.py
+++ b/vocode/turn_based/agent/chat_gpt_agent.py
@@ -1,16 +1,8 @@
-from typing import Optional
+from typing import Any, List, Optional
+
 import openai
-from langchain.prompts import (
-    ChatPromptTemplate,
-    MessagesPlaceholder,
-    SystemMessagePromptTemplate,
-    HumanMessagePromptTemplate,
-)
-from langchain.chains import ConversationChain
-from langchain.chat_models import ChatOpenAI
-from langchain.memory import ConversationBufferMemory
-from vocode import getenv
 
+from vocode import getenv
 from vocode.turn_based.agent.base_agent import BaseAgent
 
 
@@ -23,30 +15,41 @@ def __init__(
         model_name: str = "gpt-3.5-turbo",
         temperature: float = 0.7,
         max_tokens: int = 100,
-        memory: Optional[ConversationBufferMemory] = None,
     ):
         super().__init__(initial_message=initial_message)
-        openai.api_key = getenv("OPENAI_API_KEY", api_key)
-        if not openai.api_key:
+        api_key = getenv("OPENAI_API_KEY", api_key)
+        if not api_key:
             raise ValueError("OpenAI API key not provided")
-        self.prompt = ChatPromptTemplate.from_messages(
-            [
-                SystemMessagePromptTemplate.from_template(system_prompt),
-                MessagesPlaceholder(variable_name="history"),
-                HumanMessagePromptTemplate.from_template("{input}"),
-            ]
+        self.client = openai.OpenAI(api_key=api_key)
+        self.prompt = system_prompt
+        self.model_name = model_name
+        self.messages: List[Any] = [
+            {
+                "role": "system",
+                "content": system_prompt,
+            },
+            {
+                "role": "assistant",
+                "content": initial_message,
+            },
+        ]
+
+    def respond(self, human_input: str):
+        self.messages.append(
+            {
+                "role": "user",
+                "content": human_input,
+            }
         )
-        self.memory = memory if memory else ConversationBufferMemory(return_messages=True)
-        if initial_message:
-            self.memory.chat_memory.add_ai_message(initial_message)
-        self.llm = ChatOpenAI(  # type: ignore
-            model_name=model_name,
-            temperature=temperature,
-            max_tokens=max_tokens,
+        response = self.client.chat.completions.create(
+            model=self.model_name,
+            messages=self.messages,
         )
-        self.conversation = ConversationChain(
-            memory=self.memory, prompt=self.prompt, llm=self.llm
+        content = response.choices[0].message.content
+        self.messages.append(
+            {
+                "role": "system",
+                "content": content,
+            }
         )
-
-    def respond(self, human_input: str):
-        return self.conversation.predict(input=human_input)
\ No newline at end of file
+        return content
diff --git a/vocode/turn_based/agent/gpt4all_agent.py b/vocode/turn_based/agent/gpt4all_agent.py
index 71495b1393..f5e5e3dd5f 100644
--- a/vocode/turn_based/agent/gpt4all_agent.py
+++ b/vocode/turn_based/agent/gpt4all_agent.py
@@ -1,10 +1,14 @@
 import asyncio
-from concurrent.futures import ThreadPoolExecutor, wait
-import logging
 import sys
+from concurrent.futures import ThreadPoolExecutor, wait
 from typing import Optional
+
+from loguru import logger
+
 from vocode.turn_based.agent.base_agent import BaseAgent
 
+raise DeprecationWarning("This Agent is deprecated and will be removed in the future.")
+
 
 class StopThreadException(Exception):
     pass
@@ -20,13 +24,11 @@ def __init__(
         model_path: str,
         system_prompt: str,
         initial_message: Optional[str] = None,
-        logger: Optional[logging.Logger] = None,
     ):
         from pygpt4all.models.gpt4all_j import GPT4All_J
 
         super().__init__(initial_message)
         self.prompt_template = f"{system_prompt}\n\n{self.DEFAULT_PROMPT_TEMPLATE}"
-        self.logger = logger or logging.getLogger(__name__)
         self.memory = [f"AI: {initial_message}"] if initial_message else []
         self.llm = GPT4All_J(model_path)
         self.thread_pool_executor = ThreadPoolExecutor(max_workers=1)
@@ -42,16 +44,14 @@ def respond(
         self,
         human_input,
     ) -> str:
-        self.logger.debug("LLM responding to human input")
+        logger.debug("LLM responding to human input")
         prompt = self.create_prompt(human_input)
         response_buffer = ""
 
         def new_text_callback(text):
             nonlocal response_buffer
             response_buffer += text
-            if len(response_buffer) > len(prompt) and response_buffer.endswith(
-                "Human:"
-            ):
+            if len(response_buffer) > len(prompt) and response_buffer.endswith("Human:"):
                 response_buffer = response_buffer[: -len("Human:")]
                 sys.exit()
 
@@ -63,7 +63,7 @@ def new_text_callback(text):
         wait([future], timeout=10)
         response = response_buffer[(len(prompt) + 1) :]
         self.memory.append(self.get_memory_entry(human_input, response))
-        self.logger.debug(f"LLM response: {response}")
+        logger.debug(f"LLM response: {response}")
         return response
 
     async def respond_async(self, human_input) -> str:
@@ -73,9 +73,7 @@ async def respond_async(self, human_input) -> str:
         def new_text_callback(text):
             nonlocal response_buffer
             response_buffer += text
-            if len(response_buffer) > len(prompt) and response_buffer.endswith(
-                "Human:"
-            ):
+            if len(response_buffer) > len(prompt) and response_buffer.endswith("Human:"):
                 response_buffer = response_buffer[: -len("Human:")]
                 raise StopThreadException("Stopping the thread")
 
diff --git a/vocode/turn_based/input_device/microphone_input.py b/vocode/turn_based/input_device/microphone_input.py
index 4ee35b449c..9a032bfa0a 100644
--- a/vocode/turn_based/input_device/microphone_input.py
+++ b/vocode/turn_based/input_device/microphone_input.py
@@ -1,9 +1,10 @@
+import io
+import wave
 from typing import Optional
-import sounddevice as sd
+
 import numpy as np
+import sounddevice as sd
 from pydub import AudioSegment
-import io
-import wave
 
 from vocode.turn_based.input_device.base_input_device import BaseInputDevice
 
diff --git a/vocode/turn_based/output_device/base_output_device.py b/vocode/turn_based/output_device/abstract_output_device.py
similarity index 54%
rename from vocode/turn_based/output_device/base_output_device.py
rename to vocode/turn_based/output_device/abstract_output_device.py
index d54c0c7fd6..c2eb148f2e 100644
--- a/vocode/turn_based/output_device/base_output_device.py
+++ b/vocode/turn_based/output_device/abstract_output_device.py
@@ -1,9 +1,13 @@
+from abc import ABC, abstractmethod
+
 from pydub import AudioSegment
 
 
-class BaseOutputDevice:
+class AbstractOutputDevice(ABC):
+
+    @abstractmethod
     def send_audio(self, audio: AudioSegment) -> None:
-        raise NotImplementedError
+        pass
 
     def terminate(self):
         pass
diff --git a/vocode/turn_based/output_device/speaker_output.py b/vocode/turn_based/output_device/speaker_output.py
index 24a475b989..a3f748f9ed 100644
--- a/vocode/turn_based/output_device/speaker_output.py
+++ b/vocode/turn_based/output_device/speaker_output.py
@@ -1,12 +1,13 @@
 from typing import Optional
-import sounddevice as sd
+
 import numpy as np
+import sounddevice as sd
 from pydub import AudioSegment
 
-from vocode.turn_based.output_device.base_output_device import BaseOutputDevice
+from vocode.turn_based.output_device.abstract_output_device import AbstractOutputDevice
 
 
-class SpeakerOutput(BaseOutputDevice):
+class SpeakerOutput(AbstractOutputDevice):
     DEFAULT_SAMPLING_RATE = 44100
 
     def __init__(
diff --git a/vocode/turn_based/synthesizer/__init__.py b/vocode/turn_based/synthesizer/__init__.py
deleted file mode 100644
index f73871975e..0000000000
--- a/vocode/turn_based/synthesizer/__init__.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from vocode.turn_based.synthesizer.azure_synthesizer import AzureSynthesizer
-from vocode.turn_based.synthesizer.bark_synthesizer import BarkSynthesizer
-from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
-from vocode.turn_based.synthesizer.coqui_synthesizer import CoquiSynthesizer
-from vocode.turn_based.synthesizer.coqui_tts_synthesizer import CoquiTTSSynthesizer
-from vocode.turn_based.synthesizer.eleven_labs_synthesizer import ElevenLabsSynthesizer
-from vocode.turn_based.synthesizer.google_synthesizer import GoogleSynthesizer
-from vocode.turn_based.synthesizer.gtts_synthesizer import GTTSSynthesizer
-from vocode.turn_based.synthesizer.play_ht_synthesizer import PlayHtSynthesizer
-from vocode.turn_based.synthesizer.rime_synthesizer import RimeSynthesizer
-from vocode.turn_based.synthesizer.stream_elements_synthesizer import (
-    StreamElementsSynthesizer,
-)
diff --git a/vocode/turn_based/synthesizer/azure_synthesizer.py b/vocode/turn_based/synthesizer/azure_synthesizer.py
index 19f3c59378..b5221edda2 100644
--- a/vocode/turn_based/synthesizer/azure_synthesizer.py
+++ b/vocode/turn_based/synthesizer/azure_synthesizer.py
@@ -1,9 +1,10 @@
 from typing import Optional
 from xml.etree import ElementTree
+
 from pydub import AudioSegment
 from regex import D
-from vocode import getenv
 
+from vocode import getenv
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
 
 DEFAULT_SAMPLING_RATE = 22050
diff --git a/vocode/turn_based/synthesizer/bark_synthesizer.py b/vocode/turn_based/synthesizer/bark_synthesizer.py
index ffedabf842..80f43f1e1d 100644
--- a/vocode/turn_based/synthesizer/bark_synthesizer.py
+++ b/vocode/turn_based/synthesizer/bark_synthesizer.py
@@ -1,27 +1,27 @@
 import io
-from typing import Optional
-import numpy as np
 import logging
+
+import numpy as np
+from loguru import logger
 from pydub import AudioSegment
 from scipy.io.wavfile import write as write_wav
+
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
 
 
 class BarkSynthesizer(BaseSynthesizer):
-    def __init__(
-        self, logger: Optional[logging.Logger] = None, silent: bool = False, **kwargs
-    ) -> None:
+    def __init__(self, silent: bool = False, **kwargs) -> None:
         from bark import SAMPLE_RATE, generate_audio, preload_models
 
         self.SAMPLE_RATE = SAMPLE_RATE
         self.generate_audio = generate_audio
-        self.logger = logger or logging.getLogger(__name__)
-        self.logger.info("Loading Bark models")
+        logger = logger or logging.getLogger(__name__)
+        logger.info("Loading Bark models")
         self.silent = silent
         preload_models(**kwargs)
 
     def synthesize(self, text: str, **kwargs) -> AudioSegment:
-        self.logger.debug("Bark synthesizing audio")
+        logger.debug("Bark synthesizing audio")
         audio_array = self.generate_audio(text, silent=self.silent, **kwargs)
         int_audio_arr = (audio_array * np.iinfo(np.int16).max).astype(np.int16)
 
diff --git a/vocode/turn_based/synthesizer/base_synthesizer.py b/vocode/turn_based/synthesizer/base_synthesizer.py
index 1646ce255e..d079d11282 100644
--- a/vocode/turn_based/synthesizer/base_synthesizer.py
+++ b/vocode/turn_based/synthesizer/base_synthesizer.py
@@ -4,5 +4,6 @@
 class BaseSynthesizer:
     def synthesize(self, text) -> AudioSegment:
         raise NotImplementedError
+
     async def async_synthesize(self, text) -> AudioSegment:
         raise NotImplementedError
diff --git a/vocode/turn_based/synthesizer/coqui_synthesizer.py b/vocode/turn_based/synthesizer/coqui_synthesizer.py
index 2eea0a09bb..d39570dcc0 100644
--- a/vocode/turn_based/synthesizer/coqui_synthesizer.py
+++ b/vocode/turn_based/synthesizer/coqui_synthesizer.py
@@ -1,13 +1,17 @@
+import asyncio
 import io
 import re
 import typing
-from typing import Optional, List
-from pydub import AudioSegment
+from typing import List, Optional
+
+import aiohttp
 import requests
+from pydub import AudioSegment
+
 from vocode import getenv
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
-import aiohttp
-import asyncio
+
+raise DeprecationWarning("This Synthesizer is deprecated and will be removed in the future.")
 
 COQUI_BASE_URL = "https://app.coqui.ai/api/v2/samples"
 DEFAULT_SPEAKER_ID = "d2bd7ccb-1b65-4005-9578-32c4e02d8ddf"
@@ -42,12 +46,11 @@ def synthesize_chunk(self, text: str) -> AudioSegment:
         response = requests.get(sample["audio_url"])
         return AudioSegment.from_wav(io.BytesIO(response.content))  # type: ignore
 
-
     def split_text(self, string):
         # Base case: if the string is less than or equal to MAX_TEXT_LENGTH characters, return it as a single element array
         if len(string) <= MAX_TEXT_LENGTH:
             return [string.strip()]
-        
+
         # Recursive case: find the index of the last sentence ender in the first MAX_TEXT_LENGTH characters of the string
         sentence_enders = [".", "!", "?"]
         index = -1
@@ -55,20 +58,20 @@ def split_text(self, string):
             i = string[:MAX_TEXT_LENGTH].rfind(ender)
             if i > index:
                 index = i
-        
+
         # If there is a sentence ender, split the string at that index plus one and strip any spaces from both parts
         if index != -1:
-            first_part = string[:index + 1].strip()
-            second_part = string[index + 1:].strip()
-        
+            first_part = string[: index + 1].strip()
+            second_part = string[index + 1 :].strip()
+
         # If there is no sentence ender, find the index of the last comma in the first MAX_TEXT_LENGTH characters of the string
         else:
             index = string[:MAX_TEXT_LENGTH].rfind(",")
             # If there is a comma, split the string at that index plus one and strip any spaces from both parts
             if index != -1:
-                first_part = string[:index + 1].strip()
-                second_part = string[index + 1:].strip()
-            
+                first_part = string[: index + 1].strip()
+                second_part = string[index + 1 :].strip()
+
             # If there is no comma, find the index of the last space in the first MAX_TEXT_LENGTH characters of the string
             else:
                 index = string[:MAX_TEXT_LENGTH].rfind(" ")
@@ -76,25 +79,22 @@ def split_text(self, string):
             if index != -1:
                 first_part = string[:index].strip()
                 second_part = string[index:].strip()
-            
+
             # If there is no space, split the string at MAX_TEXT_LENGTH characters and strip any spaces from both parts
             else:
                 first_part = string[:MAX_TEXT_LENGTH].strip()
                 second_part = string[MAX_TEXT_LENGTH:].strip()
-        
+
         # Append the first part to the result array
         result = [first_part]
-        
+
         # Call the function recursively on the remaining part of the string and extend the result array with it, unless it is empty
         if second_part != "":
             result.extend(self.split_text(second_part))
-        
+
         # Return the result array
         return result
 
-
-
-
     async def async_synthesize(self, text: str) -> AudioSegment:
         # This method is similar to the synthesize method, but it uses async IO to synthesize each chunk in parallel
 
@@ -102,10 +102,7 @@ async def async_synthesize(self, text: str) -> AudioSegment:
         text_chunks = self.split_text(text)
 
         # Create a list of tasks for each chunk using asyncio.create_task()
-        tasks = [
-            asyncio.create_task(self.async_synthesize_chunk(chunk))
-            for chunk in text_chunks
-        ]
+        tasks = [asyncio.create_task(self.async_synthesize_chunk(chunk)) for chunk in text_chunks]
 
         # Wait for all tasks to complete using asyncio.gather()
         audio_chunks = await asyncio.gather(*tasks)
@@ -133,7 +130,9 @@ async def async_synthesize_chunk(self, text: str) -> AudioSegment:
                     # Return an AudioSegment object from the audio data
                     return AudioSegment.from_wav(io.BytesIO(audio_data))  # type: ignore
 
-    def get_request(self, text: str) -> typing.Tuple[str, typing.Dict[str, str], typing.Dict[str, object]]:
+    def get_request(
+        self, text: str
+    ) -> typing.Tuple[str, typing.Dict[str, str], typing.Dict[str, object]]:
         url = COQUI_BASE_URL
         headers = {
             "Authorization": f"Bearer {self.api_key}",
diff --git a/vocode/turn_based/synthesizer/coqui_tts_synthesizer.py b/vocode/turn_based/synthesizer/coqui_tts_synthesizer.py
index c1f2ca6f92..579d8512c3 100644
--- a/vocode/turn_based/synthesizer/coqui_tts_synthesizer.py
+++ b/vocode/turn_based/synthesizer/coqui_tts_synthesizer.py
@@ -1,9 +1,10 @@
 import io
 from typing import Optional
-from pydub import AudioSegment
-from vocode import getenv
+
 import numpy
+from pydub import AudioSegment
 
+from vocode import getenv
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
 
 
diff --git a/vocode/turn_based/synthesizer/eleven_labs_synthesizer.py b/vocode/turn_based/synthesizer/eleven_labs_synthesizer.py
index 9c5b2ffda0..68b77fb7fa 100644
--- a/vocode/turn_based/synthesizer/eleven_labs_synthesizer.py
+++ b/vocode/turn_based/synthesizer/eleven_labs_synthesizer.py
@@ -1,6 +1,10 @@
 import io
 from typing import Optional
+
+from elevenlabs import Voice, VoiceSettings
+from elevenlabs.client import ElevenLabs
 from pydub import AudioSegment
+
 from vocode import getenv
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
 
@@ -13,12 +17,13 @@ def __init__(
         similarity_boost: Optional[float] = None,
         api_key: Optional[str] = None,
     ):
-        import elevenlabs
-
-        self.elevenlabs = elevenlabs
 
         self.voice_id = voice_id
         self.api_key = getenv("ELEVEN_LABS_API_KEY", api_key)
+
+        self.elevenlabs_client = ElevenLabs(
+            api_key=self.api_key,
+        )
         self.validate_stability_and_similarity_boost(stability, similarity_boost)
         self.stability = stability
         self.similarity_boost = similarity_boost
@@ -27,18 +32,19 @@ def validate_stability_and_similarity_boost(
         self, stability: Optional[float], similarity_boost: Optional[float]
     ) -> None:
         if (stability is None) != (similarity_boost is None):
-            raise ValueError(
-                "Both stability and similarity_boost must be set or not set."
-            )
+            raise ValueError("Both stability and similarity_boost must be set or not set.")
 
     def synthesize(self, text: str) -> AudioSegment:
-        self.elevenlabs.set_api_key(self.api_key)
-        voice = self.elevenlabs.Voice(voice_id=self.voice_id)
         if self.stability is not None and self.similarity_boost is not None:
-            voice.settings = self.elevenlabs.VoiceSettings(
-                stability=self.stability, similarity_boost=self.similarity_boost
+            voice = Voice(
+                voice_id=self.voice_id,
+                settings=VoiceSettings(
+                    stability=self.stability, similarity_boost=self.similarity_boost
+                ),
             )
+        else:
+            voice = Voice(voice_id=self.voice_id)
 
-        audio = self.elevenlabs.generate(text, voice=voice)
+        audio = self.elevenlabs_client.generate(text=text, voice=voice)
 
         return AudioSegment.from_mp3(io.BytesIO(audio))  # type: ignore
diff --git a/vocode/turn_based/synthesizer/google_synthesizer.py b/vocode/turn_based/synthesizer/google_synthesizer.py
index 6c55a64619..ace1fe9586 100644
--- a/vocode/turn_based/synthesizer/google_synthesizer.py
+++ b/vocode/turn_based/synthesizer/google_synthesizer.py
@@ -1,9 +1,11 @@
 import io
 from typing import Optional
+
+from google.cloud import texttospeech_v1beta1 as tts  # type: ignore
 from pydub import AudioSegment
+
 from vocode import getenv
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
-from google.cloud import texttospeech_v1beta1 as tts
 
 DEFAULT_LANGUAGE_CODE = "en-US"
 DEFAULT_VOICE_NAME = "en-US-Neural2-I"
@@ -11,9 +13,7 @@
 DEFAULT_SPEAKING_RATE = 1.2
 DEFAULT_SAMPLE_RATE = 24000
 DEFAULT_AUDIO_ENCODING = tts.AudioEncoding.LINEAR16
-DEFAULT_TIME_POINTING = [
-    tts.SynthesizeSpeechRequest.TimepointType.TIMEPOINT_TYPE_UNSPECIFIED
-]
+DEFAULT_TIME_POINTING = [tts.SynthesizeSpeechRequest.TimepointType.TIMEPOINT_TYPE_UNSPECIFIED]
 
 
 class GoogleSynthesizer(BaseSynthesizer):
diff --git a/vocode/turn_based/synthesizer/gtts_synthesizer.py b/vocode/turn_based/synthesizer/gtts_synthesizer.py
index 6502415116..12be8dde38 100644
--- a/vocode/turn_based/synthesizer/gtts_synthesizer.py
+++ b/vocode/turn_based/synthesizer/gtts_synthesizer.py
@@ -1,7 +1,9 @@
+from io import BytesIO
 from os import PathLike
 from typing import Any
+
 from pydub import AudioSegment
-from io import BytesIO
+
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
 
 
diff --git a/vocode/turn_based/synthesizer/play_ht_synthesizer.py b/vocode/turn_based/synthesizer/play_ht_synthesizer.py
index 2481c17eb1..00d5e84be2 100644
--- a/vocode/turn_based/synthesizer/play_ht_synthesizer.py
+++ b/vocode/turn_based/synthesizer/play_ht_synthesizer.py
@@ -1,13 +1,14 @@
 import io
 from typing import Optional
-from pydub import AudioSegment
+
 import requests
-from vocode import getenv
-from vocode.streaming.telephony.constants import DEFAULT_SAMPLING_RATE
+from pydub import AudioSegment
 
+from vocode import getenv
+from vocode.streaming.models.audio import SamplingRate
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
 
-DEFAULT_SAMPLING_RATE = 24000
+DEFAULT_SAMPLING_RATE = SamplingRate.RATE_24000
 TTS_ENDPOINT = "https://play.ht/api/v2/tts/stream"
 
 
@@ -50,8 +51,6 @@ def synthesize(
 
         response = requests.post(TTS_ENDPOINT, headers=headers, json=body, timeout=5)
         if not response.ok:
-            raise Exception(
-                f"Play.ht API error: {response.status_code}, {response.text}"
-            )
+            raise Exception(f"Play.ht API error: {response.status_code}, {response.text}")
 
         return AudioSegment.from_mp3(io.BytesIO(response.content))  # type: ignore
diff --git a/vocode/turn_based/synthesizer/polly_synthesizer.py b/vocode/turn_based/synthesizer/polly_synthesizer.py
new file mode 100644
index 0000000000..58fec724a8
--- /dev/null
+++ b/vocode/turn_based/synthesizer/polly_synthesizer.py
@@ -0,0 +1,48 @@
+import io
+
+import boto3
+from pydub import AudioSegment
+
+from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
+
+DEFAULT_SAMPLING_RATE = 16000
+DEFAULT_LANGUAGE_CODE = "en-US"
+DEFAULT_VOICE_ID = "Matthew"
+
+
+class PollySynthesizer(BaseSynthesizer):
+    def __init__(
+        self,
+        sampling_rate: int = DEFAULT_SAMPLING_RATE,
+        language_code: str = DEFAULT_LANGUAGE_CODE,
+        voice_id: str = DEFAULT_VOICE_ID,
+    ):
+        client = boto3.client("polly")
+
+        # AWS Polly supports sampling rate of 8k and 16k for pcm output
+        if sampling_rate not in [8000, 16000]:
+            raise Exception(
+                "Sampling rate not supported by AWS Polly",
+                sampling_rate,
+            )
+
+        self.sampling_rate = sampling_rate
+        self.client = client
+        self.language_code = language_code
+        self.voice_id = voice_id
+
+    def synthesize(self, message: str) -> AudioSegment:
+        response = self.client.synthesize_speech(
+            Text=message,
+            LanguageCode=self.language_code,
+            TextType="text",
+            OutputFormat="pcm",
+            VoiceId=self.voice_id,
+        )
+
+        return AudioSegment(
+            response.get("AudioStream").read(),
+            sample_width=2,
+            frame_rate=self.sampling_rate,
+            channels=1,
+        )
diff --git a/vocode/turn_based/synthesizer/rime_synthesizer.py b/vocode/turn_based/synthesizer/rime_synthesizer.py
index 5e1da52736..99fdc406d0 100644
--- a/vocode/turn_based/synthesizer/rime_synthesizer.py
+++ b/vocode/turn_based/synthesizer/rime_synthesizer.py
@@ -1,10 +1,11 @@
 import base64
 import io
 from typing import Optional
-from pydub import AudioSegment
+
 import requests
-from vocode import getenv
+from pydub import AudioSegment
 
+from vocode import getenv
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
 
 RIME_BASE_URL = "https://rjmopratfrdjgmfmaios.functions.supabase.co/rime-tts"
diff --git a/vocode/turn_based/synthesizer/stream_elements_synthesizer.py b/vocode/turn_based/synthesizer/stream_elements_synthesizer.py
index ff91c64894..1bb1ddc22b 100644
--- a/vocode/turn_based/synthesizer/stream_elements_synthesizer.py
+++ b/vocode/turn_based/synthesizer/stream_elements_synthesizer.py
@@ -1,10 +1,10 @@
 import io
-import requests
-from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
-
 
+import requests
 from pydub import AudioSegment
 
+from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
+
 
 class StreamElementsSynthesizer(BaseSynthesizer):
     def __init__(self, voice: str = "Brian"):
diff --git a/vocode/turn_based/transcriber/__init__.py b/vocode/turn_based/transcriber/__init__.py
deleted file mode 100644
index 50631f547f..0000000000
--- a/vocode/turn_based/transcriber/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from vocode.turn_based.transcriber.base_transcriber import BaseTranscriber
-from vocode.turn_based.transcriber.sr_transcriber import SpeechRecognitionTranscriber
-from vocode.turn_based.transcriber.whisper_cpp_transcriber import WhisperCPPTranscriber
-from vocode.turn_based.transcriber.whisper_transcriber import WhisperTranscriber
diff --git a/vocode/turn_based/transcriber/sr_transcriber.py b/vocode/turn_based/transcriber/sr_transcriber.py
index 16e33e0580..dc20a4ab2c 100644
--- a/vocode/turn_based/transcriber/sr_transcriber.py
+++ b/vocode/turn_based/transcriber/sr_transcriber.py
@@ -1,8 +1,10 @@
-from pydub import AudioSegment
+from enum import Enum
+
 import speech_recognition as sr
+from pydub import AudioSegment
+
 from vocode import getenv
 from vocode.turn_based.transcriber.base_transcriber import BaseTranscriber
-from enum import Enum
 
 
 class SpeechRecognitionAPI(Enum):
@@ -46,9 +48,7 @@ def transcribe(self, audio_segment: AudioSegment) -> str:
                 credentials_json = getenv("GOOGLE_CLOUD_SPEECH_CREDENTIALS")
                 if not credentials_json:
                     raise ValueError("Google Cloud Speech credentials not provided")
-                text = r.recognize_google_cloud(
-                    audio, credentials_json=credentials_json
-                )
+                text = r.recognize_google_cloud(audio, credentials_json=credentials_json)
 
             elif self.api == SpeechRecognitionAPI.WIT:
                 api_key = getenv("WIT_AI_API_KEY")
@@ -76,17 +76,13 @@ def transcribe(self, audio_segment: AudioSegment) -> str:
                 client_key = getenv("HOUNDIFY_CLIENT_KEY")
                 if not client_id or not client_key:
                     raise ValueError("Houndify client ID or key not provided")
-                text = r.recognize_houndify(
-                    audio, client_id=client_id, client_key=client_key
-                )
+                text = r.recognize_houndify(audio, client_id=client_id, client_key=client_key)
 
             elif self.api == SpeechRecognitionAPI.IBM:
                 username = getenv("IBM_USERNAME")
                 password = getenv("IBM_PASSWORD")
                 if not username or not password:
-                    raise ValueError(
-                        "IBM Speech to Text username or password not provided"
-                    )
+                    raise ValueError("IBM Speech to Text username or password not provided")
                 text = r.recognize_ibm(audio, username=username, password=password)
 
             else:
@@ -94,8 +90,6 @@ def transcribe(self, audio_segment: AudioSegment) -> str:
         except sr.UnknownValueError:
             raise sr.UnknownValueError("Speech Recognition could not understand audio")
         except sr.RequestError as e:
-            raise sr.RequestError(
-                f"Could not request results from Speech Recognition service."
-            )
+            raise sr.RequestError(f"Could not request results from Speech Recognition service.")
 
         return text
diff --git a/vocode/turn_based/transcriber/whisper_cpp_transcriber.py b/vocode/turn_based/transcriber/whisper_cpp_transcriber.py
index ca9d2337b2..57c0f79144 100644
--- a/vocode/turn_based/transcriber/whisper_cpp_transcriber.py
+++ b/vocode/turn_based/transcriber/whisper_cpp_transcriber.py
@@ -1,5 +1,6 @@
 import ctypes
 import pathlib
+
 import numpy as np
 from pydub import AudioSegment
 
diff --git a/vocode/turn_based/transcriber/whisper_transcriber.py b/vocode/turn_based/transcriber/whisper_transcriber.py
index 95e0d97362..b1dc275d1b 100644
--- a/vocode/turn_based/transcriber/whisper_transcriber.py
+++ b/vocode/turn_based/transcriber/whisper_transcriber.py
@@ -1,22 +1,24 @@
-from typing import Optional
-from pydub import AudioSegment
 import io
+from typing import Optional
+
 import openai
-from vocode import getenv
+from pydub import AudioSegment
 
+from vocode import getenv
 from vocode.turn_based.transcriber.base_transcriber import BaseTranscriber
 
 
 class WhisperTranscriber(BaseTranscriber):
     def __init__(self, api_key: Optional[str] = None):
-        openai.api_key = getenv("OPENAI_API_KEY", api_key)
-        if not openai.api_key:
+        api_key = getenv("OPENAI_API_KEY", api_key)
+        if not api_key:
             raise ValueError("OpenAI API key not provided")
+        self.client = openai.OpenAI(api_key=api_key)
 
     def transcribe(self, audio_segment: AudioSegment) -> str:
         in_memory_wav = io.BytesIO()
         audio_segment.export(in_memory_wav, format="wav")  # type: ignore
         in_memory_wav.seek(0)
         in_memory_wav.name = "whisper.wav"
-        transcript = openai.Audio.transcribe("whisper-1", in_memory_wav)
+        transcript = self.client.audio.transcriptions.create(model="whisper-1", file=in_memory_wav)
         return transcript.text
diff --git a/vocode/turn_based/turn_based_conversation.py b/vocode/turn_based/turn_based_conversation.py
index 3b30f94171..0eb9e506a8 100644
--- a/vocode/turn_based/turn_based_conversation.py
+++ b/vocode/turn_based/turn_based_conversation.py
@@ -1,10 +1,8 @@
-import logging
-from typing import Optional
+from loguru import logger
+
 from vocode.turn_based.agent.base_agent import BaseAgent
-from vocode.turn_based.input_device.base_input_device import (
-    BaseInputDevice,
-)
-from vocode.turn_based.output_device.base_output_device import BaseOutputDevice
+from vocode.turn_based.input_device.base_input_device import BaseInputDevice
+from vocode.turn_based.output_device.abstract_output_device import AbstractOutputDevice
 from vocode.turn_based.synthesizer.base_synthesizer import BaseSynthesizer
 from vocode.turn_based.transcriber.base_transcriber import BaseTranscriber
 
@@ -16,8 +14,7 @@ def __init__(
         transcriber: BaseTranscriber,
         agent: BaseAgent,
         synthesizer: BaseSynthesizer,
-        output_device: BaseOutputDevice,
-        logger: Optional[logging.Logger] = None,
+        output_device: AbstractOutputDevice,
     ):
         self.input_device = input_device
         self.transcriber = transcriber
@@ -25,20 +22,17 @@ def __init__(
         self.synthesizer = synthesizer
         self.output_device = output_device
         self.maybe_play_initial_message()
-        self.logger = logger or logging.getLogger(__name__)
 
     def maybe_play_initial_message(self):
         if self.agent.initial_message:
-            self.output_device.send_audio(
-                self.synthesizer.synthesize(self.agent.initial_message)
-            )
+            self.output_device.send_audio(self.synthesizer.synthesize(self.agent.initial_message))
 
     def start_speech(self):
         self.input_device.start_listening()
 
     def end_speech_and_respond(self):
         human_input = self.transcriber.transcribe(self.input_device.end_listening())
-        self.logger.info(f"Transcription: {human_input}")
+        logger.info(f"Transcription: {human_input}")
         agent_response = self.agent.respond(human_input)
-        self.logger.info(f"Agent response: {agent_response}")
+        logger.info(f"Agent response: {agent_response}")
         self.output_device.send_audio(self.synthesizer.synthesize(agent_response))
diff --git a/vocode/utils/sentry_utils.py b/vocode/utils/sentry_utils.py
new file mode 100644
index 0000000000..23c1f17baf
--- /dev/null
+++ b/vocode/utils/sentry_utils.py
@@ -0,0 +1,253 @@
+import functools
+from typing import TYPE_CHECKING, Any, Callable, Dict, Optional, Tuple
+
+import sentry_sdk
+from loguru import logger
+from sentry_sdk.tracing import Span, Transaction, _SpanRecorder
+
+from vocode import get_serialized_ctx_wrappers, sentry_transaction
+
+if TYPE_CHECKING:
+    from vocode.streaming.synthesizer.base_synthesizer import BaseSynthesizer
+
+_SYNTHESIZER_NAMES = {
+    "AzureSynthesizer": "azure",
+    "ElevenLabsSynthesizer": "eleven_labs",
+    "ElevenLabsWSSynthesizer": "eleven_labs_ws",
+    "PlayHtSynthesizer": "play_ht",
+    "PlayHtSynthesizerV2": "play_ht_v2",
+    "RimeSynthesizer": "rime",
+}
+
+_FILTERED_SPANS = {"middleware.starlette.receive", "middleware.starlette.send", "Queue.get"}
+
+
+class CustomSentrySpans:
+    CONNECTED_TO_FIRST_SEND = "connected_to_first_send"
+    ENDPOINTING_LATENCY = "endpointing_latency"
+    FIRST_SEND_TO_FIRST_RECEIVE = "first_send_to_first_receive"
+    LANGUAGE_MODEL_TIME_TO_FIRST_TOKEN = "language_model_time_to_first_token"
+    LATENCY_OF_CONVERSATION = "latency_of_conversation"
+    LATENCY_OF_TRANSCRIPTION_START = "latency_of_transcription_start"
+    LLM_FIRST_SENTENCE_TOTAL = "llm_first_sentence_total"
+    START_TO_CONNECTION = "start_to_connection"
+    SYNTHESIS_GENERATE_FIRST_CHUNK = "synthesis_generate_first_chunk"
+    SYNTHESIS_TIME_TO_FIRST_TOKEN = "synthesis_time_to_first_token"
+    TIME_TO_FIRST_TOKEN = "time_to_first_token"
+
+    SYNTHESIZER_SYNTHESIS_TOTAL = ".synthesis_total"
+    SYNTHESIZER_TIME_TO_FIRST_TOKEN = ".time_to_first_token"
+    SYNTHESIZER_CREATE_SPEECH = ".create_speech"
+
+    @classmethod
+    def is_present(cls, value):
+        for attr in dir(cls):
+            if not attr.startswith("__"):
+                attr_value = getattr(cls, attr)
+                if isinstance(attr_value, str) and (
+                    attr_value == value or value.endswith(attr_value)
+                ):
+                    return True
+        return False
+
+
+class TransactionNotSampled(Exception):
+    pass
+
+
+class NoMatchingSpan(Exception):
+    pass
+
+
+class MissingTransaction(Exception):
+    pass
+
+
+class SentryConfiguredContextManager:
+    """
+    A context manager that only executes a function if Sentry is configured.
+
+    Attributes:
+        func (Callable): The function to be executed.
+        args (Tuple): The positional arguments to pass to the function.
+        kwargs (Dict): The keyword arguments to pass to the function.
+        result (Any): The result of the function execution.
+    """
+
+    def __init__(self, func: Callable, *args: Tuple, **kwargs: Dict) -> None:
+        """
+        Constructs all the necessary attributes for the SentryConfiguredContextManager object.
+
+        Args:
+            func (Callable): The function to be executed.
+            *args (Tuple): The positional arguments to pass to the function.
+            **kwargs (Dict): The keyword arguments to pass to the function.
+        """
+        self.func = func
+        self.args = args
+        self.kwargs = kwargs
+        self.result: Optional[Any] = None
+
+    @property
+    def is_configured(self) -> bool:
+        """
+        Checks if Sentry is configured.
+
+        Returns:
+            bool: True if Sentry is configured, False otherwise.
+        """
+        client = sentry_sdk.Hub.current.client
+        if client is not None and client.options is not None and "dsn" in client.options:
+            return True
+        return False
+
+    def __enter__(self) -> Optional[Any]:
+        """
+        Executes the function if Sentry is configured.
+
+        Returns:
+            Any: The result of the function execution, or None if Sentry is not configured.
+        """
+        if self.is_configured:
+            self.result = self.func(*self.args, **self.kwargs)
+            return self.result
+        else:
+            return None
+
+    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        """
+        Defines the behavior when exiting the context.
+
+        Args:
+            exc_type (Any): The type of the exception.
+            exc_val (Any): The value of the exception.
+            exc_tb (Any): The traceback of the exception.
+        """
+        pass
+
+    def __call__(self) -> Optional[Any]:
+        """
+        Executes the function if Sentry is configured, and prints a message if it's not.
+
+        Returns:
+            Any: The result of the function execution, or None if Sentry is not configured.
+        """
+        if self.is_configured:
+            return self.func(*self.args, **self.kwargs)
+        else:
+            logger.debug("Sentry is not configured, skipping function execution.")
+            return None
+
+    def execute(self) -> Optional[Any]:
+        """Executes the wrapped function immediately and returns its result."""
+        return self()
+
+
+def sentry_configured(func):
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        context_manager = SentryConfiguredContextManager(func, *args, **kwargs)
+        if "with" not in func.__code__.co_names:
+            return context_manager.execute()
+        return context_manager
+
+    return wrapper
+
+
+def synthesizer_base_name_if_should_report_to_sentry(
+    synthesizer: "BaseSynthesizer",
+) -> Optional[str]:
+    """Returns a synthesizer name if we should report metrics to Sentry for this
+    kind of synthesizer; else returns None.
+    """
+    return f"synthesizer.{_SYNTHESIZER_NAMES.get(synthesizer.__class__.__qualname__)}"
+
+
+@sentry_configured
+def set_tags(span: Span) -> Span:
+    serialized_ctx_wrappers = get_serialized_ctx_wrappers()
+    for name, value in serialized_ctx_wrappers.items():
+        span.set_tag(name, value)
+    if not span.description:
+        span.description = serialized_ctx_wrappers.get("conversation_id") or span.op
+    return span
+
+
+@sentry_configured
+def get_span_by_op(op_value) -> Span:
+    transaction: Transaction = sentry_sdk.Hub.current.scope.transaction or sentry_transaction.value
+    if transaction is None:
+        raise MissingTransaction("No transaction found.")
+    elif not transaction.sampled:
+        raise TransactionNotSampled("Transaction is not sampled.")
+    elif not transaction._span_recorder:
+        raise MissingTransaction("No span recorder found.")
+    # Probably not great accessing an internal variable but transaction spans aren't
+    # exposed publicly so it is what it is.
+    span_matches = [
+        span
+        for span in transaction._span_recorder.spans
+        if span.op == op_value and span.timestamp is None
+    ]
+    if span_matches:
+        most_recent_span = max(span_matches, key=lambda span: span.start_timestamp, default=None)
+        if most_recent_span is not None:
+            return set_tags(most_recent_span)
+    raise NoMatchingSpan(f"No span found with op '{op_value}'.")
+
+
+@sentry_configured
+def complete_span_by_op(op_value):
+    try:
+        span = get_span_by_op(op_value)
+    except TransactionNotSampled as e:
+        logger.debug(f"Transaction not sampled")
+        return None
+    except NoMatchingSpan:
+        # TODO: Fix sentry running out of span depth
+        logger.warning(f"No matching span found for op '{op_value}'")
+        return None
+    except MissingTransaction as e:
+        logger.error(f"Missing top level transaction: {e}")
+        return None
+    except Exception as e:
+        logger.error(f"Error getting span by op '{op_value}': {e}")
+        return None
+    span.finish()
+
+
+@sentry_configured
+def sentry_create_span(*args, sentry_callable: Callable, **kwargs) -> Span:
+    span = sentry_callable(*args, **kwargs)
+
+    return set_tags(span)
+
+
+class SpanRecorder(_SpanRecorder):
+
+    def __init__(self, maxlen):
+        self.maxlen = 900
+        self._auto_spans = []
+        self._custom_spans = []
+        self._low_prio_spans = []
+
+    def add(self, span: Span):
+        if span.op in _FILTERED_SPANS and span.description in _FILTERED_SPANS:
+            self._low_prio_spans.append(span)
+        else:
+            if CustomSentrySpans.is_present(span.op):
+                self._custom_spans.append(span)
+            else:
+                self._auto_spans.append(span)
+
+    @property
+    def spans(self):
+        return (self._custom_spans + self._auto_spans + self._low_prio_spans)[: self.maxlen]
+
+
+def init_span_recorder(self, maxlen: int):
+    if self._span_recorder is None:
+        self._span_recorder = SpanRecorder(maxlen)
+
+
+Span.init_span_recorder = init_span_recorder  # type: ignore
diff --git a/vocode/utils/whisper_cpp/helpers.py b/vocode/utils/whisper_cpp/helpers.py
index e99004448d..d3076f8112 100644
--- a/vocode/utils/whisper_cpp/helpers.py
+++ b/vocode/utils/whisper_cpp/helpers.py
@@ -1,6 +1,7 @@
 import ctypes
 import re
 from typing import Tuple
+
 import numpy as np
 from pydub import AudioSegment
 
@@ -9,9 +10,9 @@ def transcribe(whisper, params, ctx, audio_segment: AudioSegment) -> Tuple[str,
     if len(audio_segment) <= 100:
         return "", 0.0
     normalized = (
-        np.frombuffer(
-            audio_segment.set_frame_rate(16000).raw_data, dtype=np.int16
-        ).astype("float32")
+        np.frombuffer(audio_segment.set_frame_rate(16000).raw_data, dtype=np.int16).astype(
+            "float32"
+        )
         / 32768.0
     )
 
@@ -24,9 +25,7 @@ def transcribe(whisper, params, ctx, audio_segment: AudioSegment) -> Tuple[str,
     if result != 0:
         print("Error: {}".format(result))
         exit(1)
-    text: str = whisper.whisper_full_get_segment_text(ctypes.c_void_p(ctx), 0).decode(
-        "utf-8"
-    )
+    text: str = whisper.whisper_full_get_segment_text(ctypes.c_void_p(ctx), 0).decode("utf-8")
     # heuristic to filter out non-speech
     if not re.search(r"^\w.*", text.strip()):
         return "", 0.0