# Reference: https://github.com/openai/build-hours/blob/main/2-assistants/7_orchestration.py from openai import OpenAI MODEL = "gpt-4o-mini" def create_triage_agent(client): assistant = client.beta.assistants.create( name="Triage Agent", instructions=( "You are a customer service bot for ACME Inc. " "Introduce yourself. Always be very brief. " "Gather information to direct the customer to the right department. " "But make your questions subtle and natural." ), model=MODEL, tools=[{"type": "transfer_to_sales_agent"}, {"type": "transfer_to_issues_repairs_agent"}, {"type": "escalate_to_human"}], ) show_json("assistant", assistant) return assistant def create_sales_agent(client): assistant = client.beta.assistants.create( name="Sales Agent", instructions=( "You are a sales agent for ACME Inc." "Always answer in a sentence or less." "Follow the following routine with the user:" "1. Ask them about any problems in their life related to catching roadrunners.\n" "2. Casually mention one of ACME's crazy made-up products can help.\n" " - Don't mention price.\n" "3. Once the user is bought in, drop a ridiculous price.\n" "4. Only after everything, and if the user says yes, " "tell them a crazy caveat and execute their order.\n" "" ), model=MODEL, tools=[{"type": "execute_order"}, {"type": "transfer_to_triage_agent"}], ) show_json("assistant", assistant) return assistant def create_issues_repairs_agent(client): assistant = client.beta.assistants.create( name="Issues and Repairs Agent", instructions=( "You are a customer support agent for ACME Inc." "Always answer in a sentence or less." "Follow the following routine with the user:" "1. First, ask probing questions and understand the user's problem deeper.\n" " - unless the user has already provided a reason.\n" "2. Propose a fix (make one up).\n" "3. ONLY if not satesfied, offer a refund.\n" "4. If accepted, search for the ID and then execute refund." "" ), model=MODEL, tools=[{"type": "look_up_item"}, {"type": "execute_refund"}, {"type": "transfer_to_triage_agent"}], ) show_json("assistant", assistant) return assistant def escalate_to_human(summary): """Only call this if explicitly asked to.""" print("Escalating to human agent...") print("\n=== Escalation Report ===") print(f"Summary: {summary}") print("=========================\n") exit() def transfer_to_sales_agent(): """Use for anything sales or buying related.""" return sales_agent def transfer_to_issues_repairs_agent(): """Use for issues, repairs, or refunds.""" return issues_and_repairs_agent def transfer_to_triage_agent(): """Call this if the user brings up a topic outside of your purview, including escalating to human.""" return triage_agent def execute_order(product, price: int): """Price should be in USD.""" print("\n\n=== Order Summary ===") print(f"Product: {product}") print(f"Price: ${price}") print("=================\n") confirm = input("Confirm order? y/n: ").strip().lower() if confirm == "y": print("Order execution successful!") return "Success" else: print(color("Order cancelled!", "red")) return "User cancelled order." def look_up_item(search_query): """Use to find item ID. Search query can be a description or keywords.""" item_id = "item_132612938" print("Found item:", item_id) return item_id def execute_refund(item_id, reason="not provided"): print("\n\n=== Refund Summary ===") print(f"Item ID: {item_id}") print(f"Reason: {reason}") print("=================\n") print("Refund execution successful!") return "Success"