diff --git a/examples/__init__.py b/examples/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/examples/streamlit_pizza/__init__.py b/examples/streamlit_pizza/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/examples/streamlit_pizza/agents.py b/examples/streamlit_pizza/agents.py new file mode 100644 index 0000000..1b2ba07 --- /dev/null +++ b/examples/streamlit_pizza/agents.py @@ -0,0 +1,76 @@ +from rojak.agents import OpenAIAgent +from rojak.agents import Interrupt +from rojak.types import RetryOptions, RetryPolicy + + +retry_options = RetryOptions( + retry_policy=RetryPolicy(non_retryable_error_types=["TypeError"]) +) +triage_agent = OpenAIAgent( + name="Triage Agent", + instructions=""" + You are the Triage Agent. Your role is to assist customers by identifying their needs and routing them to the correct agent: + - **Food Ordering** (`to_food_order`): For menu recommendations, adding/removing items, viewing or modifying the cart. + - **Payment** (`to_payment`): For payments, payment method queries, receipts, or payment issues. + - **Feedback** (`to_feedback`): For reviews, ratings, comments, or complaints. + If unsure, guide customers by explaining options (ordering, payment, feedback). For multi-step needs, start with the immediate priority and redirect after. + Always ensure clear, polite, and accurate communication during handoffs. + """, + functions=["to_food_order", "to_payment", "to_feedback"], + tool_choice="required", + retry_options=retry_options, +) + +food_order_agent = OpenAIAgent( + name="Food Ordering Agent", + instructions={"type": "function", "name": "food_ordering_instructions"}, + functions=[ + "to_triage", + "to_payment", + "to_feedback", + "add_to_cart", + "remove_from_cart", + "get_cart", + "get_menu", + ], + retry_options=retry_options, +) + + +payment_agent = OpenAIAgent( + name="Payment Agent", + instructions=""" + You are the Payment Agent. Your role is to securely and efficiently handle the payment process for customers. + Start by confirming the payment amount and presenting the available payment methods (Only cash is allowed). + Use the `process_payment` function to finalize the transaction and provide a receipt. + In case of a failed transaction, assist customers by suggesting alternative payment options or troubleshooting the issue. + Always maintain a courteous and professional tone, ensuring customers feel supported throughout the payment process. + Redirect customers to the Triage Agent if they need help with non-payment tasks. + """, + functions=[ + "to_triage", + "to_food_order", + "to_feedback", + "process_payment", + "get_receipt", + "get_cart", + ], + retry_options=retry_options, + interrupts=[ + Interrupt("process_payment"), + ], +) + +feedback_agent = OpenAIAgent( + name="Feedback Agent", + instructions=""" + You are the Feedback Agent. Your role is to collect and manage customer feedback to improve the overall experience. + Ask customers to rate their experience and provide detailed comments about the food, service, or satisfaction level. + Use the `provide_feedback` function to log their input. + If the customer has complaints, acknowledge them empathetically and offer to escalate the issue to the relevant team. + Encourage constructive feedback and thank customers for their time and insights. + Redirect customers to the Triage Agent if they wish to engage with other services after providing feedback. + """, + functions=["to_triage", "to_food_order", "provide_feedback"], + retry_options=retry_options, +) diff --git a/examples/streamlit_pizza/functions.py b/examples/streamlit_pizza/functions.py new file mode 100644 index 0000000..39516e9 --- /dev/null +++ b/examples/streamlit_pizza/functions.py @@ -0,0 +1,126 @@ +from .agents import ( + triage_agent, + food_order_agent, + payment_agent, + feedback_agent, +) +from copy import deepcopy + + +def food_ordering_instructions(context_variables): + return f""" + You are the Food Ordering Agent. Your role is to assist customers in selecting and managing their food orders. + - **Recommendations**: Start by retrieving the available menu using the `get_menu` function. Guide customers in choosing items based on their preferences or suggest popular options. Provide clear and concise descriptions of menu items. + - **Adding to Order**: When customers request to add items, confirm their selection against the menu. Use the `get_menu` function to ensure the item is available. If the item exists, proceed to add it using the `add_to_cart` function. For unavailable items, politely inform the customer and suggest alternatives from the menu. + - **Order Management**: Customers may also want to modify their order. Use the `get_cart` function to show the current order details and confirm requested changes. Use `remove_from_cart` to delete specific items as needed and provide an updated summary of the cart. + - **Guiding and Redirecting**: If customers are unsure of what they want, offer assistance by highlighting popular dishes or providing recommendations. Redirect customers to the Triage Agent if they need help beyond ordering or recommendations. + - **Tone and Accuracy**: Maintain a polite and professional tone, ensuring order details are accurate at every step. Always summarize the current state of the cart after any action. + Once customer has finalized their order, redirect them to the Payment Agent for payment processing. + Redirect customers to the Triage Agent if they need help with non-ordering tasks. + Remember: Customers can only order items listed in the menu. Validate all item requests before proceeding with any order changes. + Customer Preferences: {context_variables.get("preferences", "N/A")} + """ + + +def to_food_order(): + """Route to the food order agent.""" + return food_order_agent + + +def to_payment(): + """Route to the payment agent.""" + return payment_agent + + +def to_feedback(): + """Route to the feedback agent.""" + return feedback_agent + + +def to_triage(): + """Route to the triage agent.""" + return triage_agent + + +def get_menu(): + """Return a list of menu items for a pizza place.""" + menu = [ + {"name": "Margherita Pizza", "cost": 12.99}, + {"name": "Pepperoni Pizza", "cost": 14.49}, + {"name": "BBQ Chicken Pizza", "cost": 15.99}, + {"name": "Veggie Supreme Pizza", "cost": 13.99}, + {"name": "Meat Lovers Pizza", "cost": 16.99}, + {"name": "Garlic Knots", "cost": 5.99}, + {"name": "Cheesy Breadsticks", "cost": 6.49}, + {"name": "Classic Caesar Salad", "cost": 9.49}, + {"name": "Buffalo Wings (8 pieces)", "cost": 10.99}, + {"name": "Mozzarella Sticks", "cost": 7.99}, + {"name": "Chocolate Chip Cannoli", "cost": 4.99}, + {"name": "Tiramisu Slice", "cost": 5.99}, + {"name": "Fountain Soda", "cost": 2.49}, + {"name": "Sparkling Lemonade", "cost": 3.49}, + {"name": "Iced Tea", "cost": 2.99}, + {"name": "Craft Beer (Pint)", "cost": 6.99}, + {"name": "House Red Wine (Glass)", "cost": 7.99}, + ] + return menu + + +def add_to_cart(item: str, cost: int, quantity: int, context_variables: dict): + """Add an item to the cart.""" + if item in context_variables["cart"]: + context_variables["cart"][item]["quantity"] += quantity + else: + context_variables["cart"][item] = {"quantity": quantity, "unit_cost": cost} + return f"Added {quantity} of {item} to your cart." + + +def remove_from_cart(item: str, quantity: int, context_variables: dict): + """Remove an item from the cart by quantity.""" + if item in context_variables["cart"]: + if quantity >= context_variables["cart"][item]["quantity"]: + del context_variables["cart"][item] + return f"Removed {item} from your cart." + else: + context_variables["cart"][item]["quantity"] -= quantity + return f"Decreased quantity of {item} by {quantity}." + else: + return f"{item} is not in your cart." + + +def get_cart(context_variables: dict): + """Return the contents of the cart.""" + cart = context_variables.get("cart", {}) + if cart: + cart_items = [ + f"{item} (x{details['quantity']}) - ${details['quantity'] * details['unit_cost']:.2f}" + for item, details in cart.items() + ] + return f"Your cart contains: {', '.join(cart_items)}" + else: + return "Your cart is empty." + + +def process_payment(context_variables: dict): + """Process the payment and clear the cart.""" + context_variables["receipt"] = deepcopy(context_variables["cart"]) + context_variables["cart"] = {} + return "Payment processed successfully!" + + +def get_receipt(context_variables: dict): + """Return the receipt.""" + receipt = context_variables.get("receipt", {}) + if receipt: + receipt_items = [ + f"{item} (x{details['quantity']}) - ${details['quantity'] * details['unit_cost']:.2f}" + for item, details in receipt.items() + ] + return f"Your receipt contains: {', '.join(receipt_items)}" + else: + return "No receipt available." + + +def provide_feedback(): + """Submit a review.""" + return "Review submitted successfully!" diff --git a/examples/streamlit_pizza/main.py b/examples/streamlit_pizza/main.py new file mode 100644 index 0000000..ec19f54 --- /dev/null +++ b/examples/streamlit_pizza/main.py @@ -0,0 +1,198 @@ +import streamlit as st +import asyncio +from temporalio.client import Client +from rojak import Rojak +from rojak.agents.agent import ResumeRequest, ResumeResponse +from rojak.workflows.orchestrator_workflow import OrchestratorResponse, TaskParams + +# Import your pizza chatbot agent; you can adapt this to your agent name and settings. +from examples.streamlit_pizza.agents import triage_agent + +# Use a constant session id so that conversation history is maintained across runs. +SESSION_ID = "session_pizza_4" + + +# Helper to run async coroutines synchronously (Streamlit scripts are synchronous) +def run_async(coro): + return asyncio.run(coro) + + +############################## +# Async functions for Rojak calls +############################## + + +async def generate_response(rojak: Rojak, user_message: str, agent): + """ + Calls rojak.run() to process a user message. + Returns either an OrchestratorResponse or a ResumeRequest if human intervention is needed. + """ + response = await rojak.run( + id=SESSION_ID, + type="persistent", + task=TaskParams( + messages=[{"role": "user", "content": user_message}], + agent=agent, + ), + # Example context variables for the pizza chatbot + context_variables={ + "name": "John", # Example customer name + "cart": st.session_state.get( + "cart", {} + ), # Use the current cart if available + "preferences": "Loves extra cheese and pepperoni.", + }, + debug=True, + ) + return response + + +async def generate_resume( + rojak: Rojak, action: str, tool_id: str, content: str | None = None +): + """ + Sends a ResumeResponse (approve/reject) back to rojak. + """ + return await rojak.run( + id=SESSION_ID, + resume=ResumeResponse(action=action, tool_id=tool_id, content=content), + ) + + +async def process_resume(rojak: Rojak, resume_req: ResumeRequest): + """ + Displays an interrupt message for a pending tool call and lets the user choose to approve or reject it. + Returns the new run response after sending a ResumeResponse. + """ + with st.chat_message("assistant"): + st.markdown("An action requires your approval") + st.markdown(f"**Name:** {resume_req.tool_name}") + st.markdown(f"**Arguments:** `{resume_req.tool_arguments}`") + question = resume_req.question or "Do you approve this tool call?" + st.markdown(f"**Question:** {question}") + + # Allow the user to optionally enter a reason if rejecting the tool call + reject_reason = st.text_input( + "Reason for rejection (optional):", key=f"rej_{resume_req.tool_id}" + ) + + col1, col2 = st.columns(2) + with col1: + approve_clicked = st.button("Approve", key=f"approve_{resume_req.tool_id}") + with col2: + reject_clicked = st.button("Reject", key=f"reject_{resume_req.tool_id}") + + if approve_clicked: + new_resp = await generate_resume( + rojak, action="approve", tool_id=resume_req.tool_id + ) + return new_resp + if reject_clicked: + new_resp = await generate_resume( + rojak, + action="reject", + tool_id=resume_req.tool_id, + content=reject_reason, + ) + return new_resp + + return None # If neither button was clicked + + +############################## +# Initialization & Session State Setup +############################## + + +def initialise(): + """ + Initializes the Rojak client, the pizza agent, conversation state, and cart in st.session_state. + """ + if "rojak" not in st.session_state: + # Connect to your Temporal server (make sure it is running) + client = asyncio.run(Client.connect("localhost:7233")) + st.session_state.rojak = Rojak(client, task_queue="tasks") + if "agent" not in st.session_state: + st.session_state.agent = triage_agent # your pizza chatbot agent instance + if "messages" not in st.session_state: + st.session_state.messages = [] # Will hold conversation history as a list of dicts + if "pending_resume" not in st.session_state: + st.session_state.pending_resume = None # To store any pending ResumeRequest + if "cart" not in st.session_state: + st.session_state.cart = {} # Initialize an empty cart + + +############################## +# Main Streamlit App +############################## + + +def main(): + st.set_page_config(page_title="🍕 Pizza Chatbot", layout="centered") + initialise() + rojak: Rojak = st.session_state.rojak + agent = st.session_state.agent + messages = st.session_state.messages + + st.title("🍕 Pizza Chatbot") + st.caption("Chat with our pizza ordering assistant!") + + # Sidebar: Show the current contents of the cart + st.sidebar.markdown("# 🍕 Pizza Chatbot") + st.sidebar.markdown("## Chat with our pizza ordering assistant!") + st.sidebar.header("🛒 Your Cart") + cart = st.session_state.get("cart", {}) + if cart: + # Render the cart as a list of items; you can customize the formatting + for item, qty in cart.items(): + st.sidebar.write(f"**{item}**: {qty}") + else: + st.sidebar.write("Your cart is empty.") + + # Display conversation history using Streamlit's chat UI elements + for msg in messages: + st.chat_message(msg["role"]).write(msg["content"]) + + # If there is a pending ResumeRequest (human-in-the-loop interrupt), process it first + if st.session_state.pending_resume: + new_resp = run_async(process_resume(rojak, st.session_state.pending_resume)) + if new_resp is not None: + if isinstance(new_resp.result, ResumeRequest): + # Still needs human intervention + st.session_state.pending_resume = new_resp.result + elif isinstance(new_resp.result, OrchestratorResponse): + # Update conversation history and update the current agent + assistant_reply = new_resp.result.messages[-1].content + messages.append({"role": "assistant", "content": assistant_reply}) + st.session_state.agent = new_resp.result.agent # update current agent + # Update the cart if it's present in the context_variables + st.session_state.cart = new_resp.result.context_variables.get( + "cart", {} + ) + st.session_state.pending_resume = None + st.rerun() # Rerun to update the UI + + # Chat input: get new user message + user_input = st.chat_input("Type your message here...") + if user_input: + # Append the user's message to conversation history and display it + messages.append({"role": "user", "content": user_input}) + st.chat_message("user").write(user_input) + + # Send the message to the Rojak orchestrator + run_resp = run_async(generate_response(rojak, user_input, agent)) + if isinstance(run_resp.result, ResumeRequest): + st.session_state.pending_resume = run_resp.result + elif isinstance(run_resp.result, OrchestratorResponse): + # Normal response: update the conversation with the assistant's reply + assistant_reply = run_resp.result.messages[-1].content + messages.append({"role": "assistant", "content": assistant_reply}) + # Update the current agent so that future messages are sent to the new agent if a handoff occurred + st.session_state.agent = run_resp.result.agent + # Update the cart using the context_variables returned by the orchestrator + st.session_state.cart = run_resp.result.context_variables.get("cart", {}) + st.rerun() # Rerun to update the UI + + +if __name__ == "__main__": + main() diff --git a/examples/streamlit_pizza/run_worker.py b/examples/streamlit_pizza/run_worker.py new file mode 100644 index 0000000..dac80a5 --- /dev/null +++ b/examples/streamlit_pizza/run_worker.py @@ -0,0 +1,52 @@ +# main.py +from temporalio.client import Client +from rojak import Rojak +from rojak.agents import OpenAIAgentActivities, OpenAIAgentOptions +import asyncio +from examples.streamlit_pizza.functions import ( + to_food_order, + to_payment, + to_feedback, + to_triage, + get_menu, + add_to_cart, + remove_from_cart, + get_cart, + process_payment, + get_receipt, + provide_feedback, + food_ordering_instructions, +) + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + openai_activities = OpenAIAgentActivities( + OpenAIAgentOptions( + all_functions=[ + to_food_order, + to_payment, + to_feedback, + to_triage, + get_menu, + add_to_cart, + remove_from_cart, + get_cart, + process_payment, + get_receipt, + provide_feedback, + food_ordering_instructions, + ] + ) + ) + + rojak = Rojak(client, task_queue="tasks") + worker = await rojak.create_worker([openai_activities]) + await worker.run() + + +if __name__ == "__main__": + print("Starting worker.") + asyncio.run(main()) diff --git a/poetry.lock b/poetry.lock index 0b48479..4dfea09 100644 --- a/poetry.lock +++ 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