diff --git a/actions/generate_changelog/action.yml b/actions/generate_changelog/action.yml index 760ba7b..5c4b772 100644 --- a/actions/generate_changelog/action.yml +++ b/actions/generate_changelog/action.yml @@ -6,13 +6,47 @@ inputs: github-token: description: 'GitHub token with permissions to read PRs and create comments' required: true + llm-provider: + description: 'LLM provider to use. One of: anthropic, openai, bedrock' + required: false + default: 'anthropic' + # Anthropic inputs anthropic-api-key: - description: 'API key for Anthropic' - required: true + description: 'API key for Anthropic (required when llm-provider is anthropic)' + required: false anthropic-model: description: 'Anthropic model to use for generating the changelog' required: false default: 'claude-haiku-4-5' + # OpenAI inputs (also supports any OpenAI-compatible endpoint) + openai-api-key: + description: 'API key for OpenAI or an OpenAI-compatible provider (required when llm-provider is openai)' + required: false + openai-base-url: + description: 'Base URL for an OpenAI-compatible API endpoint. Defaults to the official OpenAI API.' + required: false + openai-model: + description: 'Model to use when llm-provider is openai' + required: false + default: 'gpt-4o-mini' + # Amazon Bedrock inputs — authenticate with either a Bedrock API key or an IAM access key pair + aws-bearer-token-bedrock: + description: 'Amazon Bedrock API key (bearer token). Takes precedence over IAM credentials when llm-provider is bedrock.' + required: false + aws-access-key-id: + description: 'AWS IAM access key ID. Used when llm-provider is bedrock and no bearer token is provided.' + required: false + aws-secret-access-key: + description: 'AWS IAM secret access key. Used when llm-provider is bedrock and no bearer token is provided.' + required: false + aws-region: + description: 'AWS region for Amazon Bedrock. Defaults to AWS_REGION env var if set, otherwise us-east-1.' + required: false + bedrock-model: + description: 'Amazon Bedrock model ID to use for generating the changelog' + required: false + default: 'us.amazon.nova-lite-v1:0' + # Shared inputs prompt-template: description: 'Path to a custom prompt template file for the LLM' required: false @@ -20,7 +54,7 @@ inputs: comment-header: description: 'Header text for the comment that will contain the changelog' required: false - default: '## 📝 Draft Changelog Entry' + default: '## Draft Changelog Entry' max_tokens: description: 'Maximum number of tokens to generate in the response' required: false @@ -67,7 +101,7 @@ runs: shell: bash run: | python -m pip install --upgrade pip - pip install anthropic requests PyGithub + pip install anthropic openai boto3 requests PyGithub - name: Generate changelog if: ${{ steps.should-run.outputs.should_run == 'true' }} @@ -75,8 +109,16 @@ runs: run: python ${{ github.action_path }}/generate_changelog.py env: GITHUB_TOKEN: ${{ inputs.github-token }} + LLM_PROVIDER: ${{ inputs.llm-provider }} ANTHROPIC_API_KEY: ${{ inputs.anthropic-api-key }} ANTHROPIC_MODEL: ${{ inputs.anthropic-model }} + OPENAI_API_KEY: ${{ inputs.openai-api-key }} + OPENAI_MODEL: ${{ inputs.openai-model }} + AWS_BEARER_TOKEN_BEDROCK: ${{ inputs.aws-bearer-token-bedrock }} + AWS_ACCESS_KEY_ID: ${{ inputs.aws-access-key-id }} + AWS_SECRET_ACCESS_KEY: ${{ inputs.aws-secret-access-key }} + AWS_REGION: ${{ inputs.aws-region || env.AWS_REGION || 'us-east-1' }} + BEDROCK_MODEL: ${{ inputs.bedrock-model }} PROMPT_TEMPLATE_PATH: ${{ inputs.prompt-template }} COMMENT_HEADER: ${{ inputs.comment-header }} PR_NUMBER: ${{ steps.should-run.outputs.pr_number }} diff --git a/actions/generate_changelog/generate_changelog.py b/actions/generate_changelog/generate_changelog.py index 7fc414e..4044d23 100644 --- a/actions/generate_changelog/generate_changelog.py +++ b/actions/generate_changelog/generate_changelog.py @@ -2,18 +2,40 @@ import os import sys import json -from github import Github, Auth +import boto3 from anthropic import Anthropic +from botocore.exceptions import ClientError, NoCredentialsError +from github import Github, Auth +from openai import OpenAI, AuthenticationError, RateLimitError + + +PROVIDER_ANTHROPIC = "anthropic" +PROVIDER_OPENAI = "openai" +PROVIDER_BEDROCK = "bedrock" +SUPPORTED_PROVIDERS = (PROVIDER_ANTHROPIC, PROVIDER_OPENAI, PROVIDER_BEDROCK) def get_env_vars(): """Get all required environment variables in one function.""" + provider = os.environ.get("LLM_PROVIDER", PROVIDER_ANTHROPIC).lower() + env_vars = { "github_token": os.environ.get("GITHUB_TOKEN"), + "llm_provider": provider, + # Anthropic "anthropic_api_key": os.environ.get("ANTHROPIC_API_KEY"), "anthropic_model": os.environ.get("ANTHROPIC_MODEL", "claude-haiku-4-5"), + # OpenAI (also supports any OpenAI-compatible endpoint via openai_base_url) + "openai_api_key": os.environ.get("OPENAI_API_KEY"), + "openai_base_url": os.environ.get("OPENAI_BASE_URL") or None, + "openai_model": os.environ.get("OPENAI_MODEL", "gpt-4o-mini"), + # Amazon Bedrock — boto3 resolves credentials from its chain at runtime + # (AWS_BEARER_TOKEN_BEDROCK, AWS_ACCESS_KEY_ID/SECRET, instance profile, etc.) + "aws_region": os.environ.get("AWS_REGION", "us-east-1"), + "bedrock_model": os.environ.get("BEDROCK_MODEL", "us.amazon.nova-lite-v1:0"), + # Shared "prompt_template_path": os.environ.get("PROMPT_TEMPLATE_PATH"), - "comment_header": os.environ.get("COMMENT_HEADER", "## 📝 Draft Changelog Entry"), + "comment_header": os.environ.get("COMMENT_HEADER", "## Draft Changelog Entry"), "repo_full_name": os.environ.get("REPO_FULL_NAME"), "pr_number": os.environ.get("PR_NUMBER"), "max_tokens": int(os.environ.get("MAX_TOKENS", 1500)), @@ -24,8 +46,19 @@ def get_env_vars(): missing_vars = [] if not env_vars["github_token"]: missing_vars.append("GITHUB_TOKEN") - if not env_vars["anthropic_api_key"]: + + if provider not in SUPPORTED_PROVIDERS: + print( + f"Error: Unsupported LLM_PROVIDER '{provider}'. Must be one of: {', '.join(SUPPORTED_PROVIDERS)}" + ) + sys.exit(1) + + if provider == PROVIDER_ANTHROPIC and not env_vars["anthropic_api_key"]: missing_vars.append("ANTHROPIC_API_KEY") + elif provider == PROVIDER_OPENAI and not env_vars["openai_api_key"]: + missing_vars.append("OPENAI_API_KEY") + # Bedrock credentials are resolved by boto3's credential chain at runtime + # (bearer token, IAM key pair, instance profile, ECS/Lambda role, OIDC, etc.) if missing_vars: print(f"Error: Missing required environment variables: {', '.join(missing_vars)}") @@ -69,7 +102,6 @@ def get_pr_data(env_vars): def get_custom_prompt_template(env_vars): """Load custom prompt template if provided, otherwise use the default template file.""" - # Try to load custom prompt from the path provided in env vars try: if env_vars["prompt_template_path"] and os.path.exists( env_vars["prompt_template_path"] @@ -141,11 +173,9 @@ def generate_changelog_with_anthropic(pr_data, env_vars): return response.content[0].text except Exception as e: - # Per Anthropic docs: https://docs.anthropic.com/en/api/errors error_type = None error_msg = str(e).lower() - # Try to extract error type from the exception if hasattr(e, "type"): error_type = e.type elif "invalid_request_error" in error_msg: @@ -161,39 +191,34 @@ def generate_changelog_with_anthropic(pr_data, env_vars): elif "api_error" in error_msg: error_type = "api_error" - # Handle specific error types if error_type == "invalid_request_error" and "credit balance is too low" in error_msg: - # Insufficient credits case print("ERROR: Anthropic API account has insufficient credits.") comment = ( - "## ⚠️ Changelog Generation Error\n\n" + "## Changelog Generation Error\n\n" "The changelog could not be generated because the Anthropic API account has insufficient credits.\n\n" "Please check your Anthropic account billing status and ensure you have available credits." ) post_error_comment(comment, pr_data, env_vars) elif error_type == "rate_limit_error": - # Rate limit exceeded print("ERROR: Anthropic API rate limit exceeded.") comment = ( - "## ⚠️ Changelog Generation Error\n\n" + "## Changelog Generation Error\n\n" "The changelog could not be generated because the Anthropic API rate limit was exceeded.\n\n" "Please try again later. See https://docs.anthropic.com/en/api/rate-limits for more information." ) post_error_comment(comment, pr_data, env_vars) elif error_type == "authentication_error": - # Invalid API key print("ERROR: Invalid Anthropic API key.") comment = ( - "## ⚠️ Changelog Generation Error\n\n" + "## Changelog Generation Error\n\n" "The changelog could not be generated because the Anthropic API key is invalid or has expired.\n\n" "Please check your API key configuration." ) post_error_comment(comment, pr_data, env_vars) else: - # Generic error case print(f"Error generating changelog with Anthropic: {e}") comment = ( - "## ⚠️ Changelog Generation Error\n\n" + "## Changelog Generation Error\n\n" "The changelog could not be generated due to an error with the Anthropic API.\n\n" f"Error details: {str(e)}" ) @@ -201,6 +226,150 @@ def generate_changelog_with_anthropic(pr_data, env_vars): return None +def generate_changelog_with_openai(pr_data, env_vars): + """Generate a changelog entry using OpenAI's API or any OpenAI-compatible endpoint.""" + client = OpenAI( + api_key=env_vars["openai_api_key"], + base_url=env_vars["openai_base_url"], + ) + + prompt_template = get_custom_prompt_template(env_vars) + formatted_pr_data = format_pr_data_for_prompt(pr_data) + prompt = prompt_template.format(pr_data=formatted_pr_data) + + try: + response = client.chat.completions.create( + model=env_vars["openai_model"], + max_tokens=env_vars["max_tokens"], + temperature=env_vars["temperature"], + messages=[{"role": "user", "content": prompt}], + ) + + return response.choices[0].message.content + except AuthenticationError as e: + print("ERROR: Invalid OpenAI API key.") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated because the OpenAI API key is invalid or has expired.\n\n" + "Please check your API key configuration." + ) + post_error_comment(comment, pr_data, env_vars) + except RateLimitError as e: + error_msg = str(e).lower() + if "insufficient_quota" in error_msg or "quota" in error_msg: + print("ERROR: OpenAI API account has insufficient quota.") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated because the OpenAI API account has insufficient quota.\n\n" + "Please check your OpenAI account billing status and ensure you have available credits." + ) + else: + print("ERROR: OpenAI API rate limit exceeded.") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated because the OpenAI API rate limit was exceeded.\n\n" + "Please try again later. See https://platform.openai.com/docs/guides/rate-limits for more information." + ) + post_error_comment(comment, pr_data, env_vars) + except Exception as e: + print(f"Error generating changelog with OpenAI: {e}") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated due to an error with the OpenAI API.\n\n" + f"Error details: {str(e)}" + ) + post_error_comment(comment, pr_data, env_vars) + return None + + +def generate_changelog_with_bedrock(pr_data, env_vars): + """Generate a changelog entry using Amazon Bedrock's Converse API.""" + prompt_template = get_custom_prompt_template(env_vars) + formatted_pr_data = format_pr_data_for_prompt(pr_data) + prompt = prompt_template.format(pr_data=formatted_pr_data) + + try: + # boto3 resolves credentials from its full chain: AWS_BEARER_TOKEN_BEDROCK, + # AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY env vars, instance profiles, + # ECS/Lambda roles, OIDC assume-role, ~/.aws/credentials, etc. + client = boto3.client( + service_name="bedrock-runtime", + region_name=env_vars["aws_region"], + ) + + response = client.converse( + modelId=env_vars["bedrock_model"], + messages=[{"role": "user", "content": [{"text": prompt}]}], + inferenceConfig={ + "maxTokens": env_vars["max_tokens"], + "temperature": env_vars["temperature"], + }, + ) + + return response["output"]["message"]["content"][0]["text"] + except NoCredentialsError: + print("ERROR: AWS credentials are missing or invalid.") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated because the AWS credentials are missing or invalid.\n\n" + "Please check your AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY configuration." + ) + post_error_comment(comment, pr_data, env_vars) + except ClientError as e: + error_code = e.response["Error"]["Code"] + if error_code in ("AccessDeniedException", "UnauthorizedException"): + print(f"ERROR: AWS access denied for Bedrock model '{env_vars['bedrock_model']}'.") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated because access to the Amazon Bedrock model was denied.\n\n" + "Please ensure your AWS credentials have the `bedrock:InvokeModel` permission and that " + f"model access is enabled for `{env_vars['bedrock_model']}` in your AWS account." + ) + elif error_code == "ThrottlingException": + print("ERROR: Amazon Bedrock request was throttled.") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated because the Amazon Bedrock request was throttled.\n\n" + "Please try again later." + ) + elif error_code == "ValidationException": + print(f"ERROR: Invalid request to Amazon Bedrock: {e}") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated due to an invalid request to Amazon Bedrock.\n\n" + f"Please verify the model ID `{env_vars['bedrock_model']}` is correct and supported in region " + f"`{env_vars['aws_region']}`.\n\nError details: {str(e)}" + ) + else: + print(f"Error generating changelog with Amazon Bedrock: {e}") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated due to an error with Amazon Bedrock.\n\n" + f"Error details: {str(e)}" + ) + post_error_comment(comment, pr_data, env_vars) + except Exception as e: + print(f"Error generating changelog with Amazon Bedrock: {e}") + comment = ( + "## Changelog Generation Error\n\n" + "The changelog could not be generated due to an unexpected error with Amazon Bedrock.\n\n" + f"Error details: {str(e)}" + ) + post_error_comment(comment, pr_data, env_vars) + return None + + +def generate_changelog(pr_data, env_vars): + """Route changelog generation to the configured LLM provider.""" + provider = env_vars["llm_provider"] + if provider == PROVIDER_ANTHROPIC: + return generate_changelog_with_anthropic(pr_data, env_vars) + elif provider == PROVIDER_OPENAI: + return generate_changelog_with_openai(pr_data, env_vars) + elif provider == PROVIDER_BEDROCK: + return generate_changelog_with_bedrock(pr_data, env_vars) + + def post_error_comment(error_message, pr_data, env_vars): """Post an error comment explaining why changelog generation failed.""" try: @@ -236,7 +405,7 @@ def main(): print("Draft changelog comment already exists. Taking no action.") return - changelog_text = generate_changelog_with_anthropic(pr_data, env_vars) + changelog_text = generate_changelog(pr_data, env_vars) if not changelog_text: print("Failed to generate changelog text") sys.exit(1) diff --git a/docs/actions/generate_changelog.md b/docs/actions/generate_changelog.md index b5572bd..7ed3db1 100644 --- a/docs/actions/generate_changelog.md +++ b/docs/actions/generate_changelog.md @@ -1,6 +1,6 @@ # Changelog Generator Action -This GitHub Action automatically generates a changelog entry as a PR comment by analyzing PR changes using Anthropic's Claude AI model. +This GitHub Action automatically generates a changelog entry as a PR comment by analyzing PR changes using an LLM. It supports Anthropic Claude, OpenAI, and Amazon Bedrock. ## Features @@ -17,18 +17,37 @@ This GitHub Action automatically generates a changelog entry as a PR comment by ## Requirements - GitHub repository with Actions enabled -- Anthropic API key (for Claude AI model) +- An API key or credentials for one of the supported LLM providers: + - **Anthropic** (default): Anthropic API key + - **OpenAI**: OpenAI API key + - **Amazon Bedrock**: either a Bedrock API key (bearer token), an AWS IAM access key pair, or an OIDC role — with `bedrock:InvokeModel` permissions and model access enabled in your AWS account ## Setup ### 1. Configure GitHub Secrets -In your repository settings, add the following secrets: +Add the secrets for your chosen provider: + +**Anthropic (default)** - `ANTHROPIC_API_KEY`: Your Anthropic API key +**OpenAI** +- `OPENAI_API_KEY`: Your OpenAI API key + +**Amazon Bedrock** + +Option A — Bedrock API key (simpler): +- `AWS_BEARER_TOKEN_BEDROCK`: Your Amazon Bedrock API key + +Option B — IAM credentials: +- `AWS_ACCESS_KEY_ID`: Your AWS access key ID +- `AWS_SECRET_ACCESS_KEY`: Your AWS secret access key + ### 2. Create a Workflow File -Create a workflow file at `.github/workflows/generate-changelog.yml`: +Create a workflow file at `.github/workflows/generate-changelog.yml`. + +**Using Anthropic (default):** ```yaml name: Generate Changelog @@ -58,6 +77,86 @@ jobs: # prompt-template: '.github/changelog-prompt.txt' ``` +**Using OpenAI:** + +```yaml + - name: Generate Changelog + uses: agritheory/test_utils/actions/generate_changelog@main + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + llm-provider: openai + openai-api-key: ${{ secrets.OPENAI_API_KEY }} + # Optional: override default model (gpt-4o-mini) + # openai-model: gpt-4o +``` + +**Using an OpenAI-compatible endpoint (e.g. OpenRouter):** + +```yaml + - name: Generate Changelog + uses: agritheory/test_utils/actions/generate_changelog@main + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + llm-provider: openai + openai-api-key: ${{ secrets.OPENROUTER_API_KEY }} + openai-base-url: https://openrouter.ai/api/v1 + openai-model: anthropic/claude-3-haiku +``` + +**Using Amazon Bedrock with a Bedrock API key:** + +```yaml + - name: Generate Changelog + uses: agritheory/test_utils/actions/generate_changelog@main + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + llm-provider: bedrock + aws-bearer-token-bedrock: ${{ secrets.AWS_BEARER_TOKEN_BEDROCK }} + # Optional: override region (us-east-1) and model (us.amazon.nova-lite-v1:0) + # aws-region: us-west-2 + # bedrock-model: us.amazon.nova-pro-v1:0 +``` + +**Using Amazon Bedrock with IAM credentials:** + +```yaml + - name: Generate Changelog + uses: agritheory/test_utils/actions/generate_changelog@main + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + llm-provider: bedrock + aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} + aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} + # Optional: override region (us-east-1) and model (us.amazon.nova-lite-v1:0) + # aws-region: us-west-2 + # bedrock-model: us.anthropic.claude-3-haiku-20240307-v1:0 +``` + +**Using Amazon Bedrock with GitHub Actions OIDC (no stored credentials):** + +```yaml +permissions: + id-token: write + contents: read + pull-requests: write + +steps: + - uses: actions/checkout@v4 + + - name: Configure AWS credentials + uses: aws-actions/configure-aws-credentials@v4 + with: + role-to-assume: arn:aws:iam::123456789012:role/my-bedrock-role + aws-region: us-east-1 + + - name: Generate Changelog + uses: agritheory/test_utils/actions/generate_changelog@main + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + llm-provider: bedrock + # aws-region is picked up automatically from the configure-aws-credentials step +``` + That's it! The action automatically handles different event types and determines when to run. ### 3. Set Up Release Integration (Optional) @@ -86,10 +185,19 @@ The action accepts the following inputs: | Input | Description | Required | Default | |-------|-------------|----------|---------| | `github-token` | GitHub token with permissions to read PRs and create comments | Yes | N/A | -| `anthropic-api-key` | API key for Anthropic | Yes | N/A | -| `anthropic-model` | Anthropic model to use for generating the changelog | No | `claude-haiku-4-5` | +| `llm-provider` | LLM provider to use: `anthropic`, `openai`, or `bedrock` | No | `anthropic` | +| `anthropic-api-key` | API key for Anthropic (required when `llm-provider` is `anthropic`) | No | N/A | +| `anthropic-model` | Anthropic model to use | No | `claude-haiku-4-5` | +| `openai-api-key` | API key for OpenAI or a compatible provider (required when `llm-provider` is `openai`) | No | N/A | +| `openai-base-url` | Base URL for an OpenAI-compatible API endpoint. Defaults to the official OpenAI API. | No | N/A | +| `openai-model` | Model to use when `llm-provider` is `openai` | No | `gpt-4o-mini` | +| `aws-bearer-token-bedrock` | Amazon Bedrock API key. Takes precedence over IAM credentials when `llm-provider` is `bedrock`. | No | N/A | +| `aws-access-key-id` | AWS IAM access key ID. Used when `llm-provider` is `bedrock` and no bearer token is provided. | No | N/A | +| `aws-secret-access-key` | AWS IAM secret access key. Used when `llm-provider` is `bedrock` and no bearer token is provided. | No | N/A | +| `aws-region` | AWS region for Amazon Bedrock. Picked up automatically from `aws-actions/configure-aws-credentials` if not set. | No | `us-east-1` | +| `bedrock-model` | Amazon Bedrock model ID or inference profile ID. Most on-demand models require a cross-region inference profile prefix: `us.`, `eu.`, or `ap.` (e.g. `us.amazon.nova-lite-v1:0`). | No | `us.amazon.nova-lite-v1:0` | | `prompt-template` | Path to a custom prompt template file | No | `.github/changelog-prompt.txt` | -| `comment-header` | Header text for the comment that will contain the changelog | No | `## 📝 Draft Changelog Entry` | +| `comment-header` | Header text for the comment that will contain the changelog | No | `## Draft Changelog Entry` | | `max_tokens` | Maximum number of tokens to generate in the response | No | `1500` | | `temperature` | Temperature for the model response (lower is more analytical) | No | `0.2` | @@ -106,8 +214,8 @@ All event-specific parameters are handled automatically by the action. - If one exists and the trigger is not a regeneration command, takes no action (preserving any manual edits) - If one exists and the trigger is a regeneration command, deletes the existing comment and generates a new one - If none exists, analyzes PR title, description, commits, and files - - Generates a comprehensive changelog with Claude AI + - Generates a comprehensive changelog using the configured LLM provider - Posts the changelog as a PR comment 3. The comment can be edited manually if needed -4. If API errors occur (like insufficient credits), the action posts a clear error comment +4. If API errors occur (like insufficient credits or invalid credentials), the action posts a clear error comment 5. When the PR is merged, the release workflow (if configured) finds the changelog comment and uses its content for the release notes diff --git a/poetry.lock b/poetry.lock index 8bfa658..8987532 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,65 @@ -# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.3.4 and should not be changed by hand. + +[[package]] +name = "annotated-types" +version = "0.7.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, +] + +[[package]] +name = "anthropic" +version = "0.99.0" +description = "The official Python library for the anthropic API" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "anthropic-0.99.0-py3-none-any.whl", hash = "sha256:c44469b746ab2ef19a4c52dcbdb98e17bc95c60bebdd18ec40d76d2d23592b49"}, + {file = "anthropic-0.99.0.tar.gz", hash = "sha256:16f41e00f215ed2d193b146be3dd567c4319c32ed3af6c8725d68ba875257c1c"}, +] + +[package.dependencies] +anyio = ">=3.5.0,<5" +distro = ">=1.7.0,<2" +docstring-parser = ">=0.15,<1" +httpx = ">=0.25.0,<1" +jiter = ">=0.4.0,<1" +pydantic = ">=1.9.0,<3" +sniffio = "*" +typing-extensions = ">=4.14,<5" + +[package.extras] +aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9)"] +aws = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"] +bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"] +mcp = ["mcp (>=1.0) ; python_version >= \"3.10\""] +vertex = ["google-auth[requests] (>=2,<3)"] + +[[package]] +name = "anyio" +version = "4.13.0" +description = "High-level concurrency and networking framework on top of asyncio or Trio" 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