OpenAI Agents SDK: Transparent Workflows with Agentic Radar

from __future__ import annotations as _annotations

import asyncio
import random
import uuid

from pydantic import BaseModel

from agents import (
   Agent,
   HandoffOutputItem,
   ItemHelpers,
   MessageOutputItem,
   RunContextWrapper,
   Runner,
   ToolCallItem,
   ToolCallOutputItem,
   TResponseInputItem,
   function_tool,
   handoff,
   trace,
)
from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX


### CONTEXT

class AirlineAgentContext(BaseModel):
   passenger_name: str | None = None
   confirmation_number: str | None = None
   seat_number: str | None = None
   flight_number: str | None = None


### TOOLS

@function_tool(
   name_override="faq_lookup_tool", description_override="Lookup frequently asked questions."
)
async def faq_lookup_tool(question: str) -> str:
   if "bag" in question or "baggage" in question:
       return (
           "You are allowed to bring one bag on the plane. "
           "It must be under 50 pounds and 22 inches x 14 inches x 9 inches."
       )
   elif "seats" in question or "plane" in question:
       return (
           "There are 120 seats on the plane. "
           "There are 22 business class seats and 98 economy seats. "
           "Exit rows are rows 4 and 16. "
           "Rows 5-8 are Economy Plus, with extra legroom. "
       )
   elif "wifi" in question:
       return "We have free wifi on the plane, join Airline-Wifi"
   return "I'm sorry, I don't know the answer to that question."

@function_tool
async def update_seat(
   context: RunContextWrapper[AirlineAgentContext], confirmation_number: str, new_seat: str
) -> str:
   """
   Update the seat for a given confirmation number.


   Args:
       confirmation_number: The confirmation number for the flight.
       new_seat: The new seat to update to.
   """
   # Update the context based on the customer's input
   context.context.confirmation_number = confirmation_number
   context.context.seat_number = new_seat
   # Ensure that the flight number has been set by the incoming handoff
   assert context.context.flight_number is not None, "Flight number is required"
   return f"Updated seat to {new_seat} for confirmation number {confirmation_number}"


### HOOKS

async def on_seat_booking_handoff(context: RunContextWrapper[AirlineAgentContext]) -> None:
   flight_number = f"FLT-{random.randint(100, 999)}"
   context.context.flight_number = flight_number


### AGENTS

faq_agent = Agent[AirlineAgentContext](
   name="FAQ Agent",
   handoff_description="A helpful agent that can answer questions about the airline.",
   instructions=f"""{RECOMMENDED_PROMPT_PREFIX}
   You are an FAQ agent. If you are speaking to a customer, you probably were transferred to from the triage agent.
   Use the following routine to support the customer.
   # Routine
   1. Identify the last question asked by the customer.
   2. Use the faq lookup tool to answer the question. If the question is not in the FAQ, try to look it up using FileSearchTool.
   3. If you cannot answer the question, transfer back to the triage agent.""",
   tools=[
           faq_lookup_tool,
           FileSearchTool(
               max_num_results=3,
               vector_store_ids=["vs_67bf88953f748191be42b462090e53e7"],
               include_search_results=True
           )
       ],
)

seat_booking_agent = Agent[AirlineAgentContext](
   name="Seat Booking Agent",
   handoff_description="A helpful agent that can update a seat on a flight.",
   instructions=f"""{RECOMMENDED_PROMPT_PREFIX}
   You are a seat booking agent. If you are speaking to a customer, you probably were transferred to from the triage agent.
   Use the following routine to support the customer.
   # Routine
   1. Ask for their confirmation number.
   2. Ask the customer what their desired seat number is.
   3. Use the update seat tool to update the seat on the flight.
   If the customer asks a question that is not related to the routine, transfer back to the triage agent. """,
   tools=[update_seat],
)

triage_agent = Agent[AirlineAgentContext](
   name="Triage Agent",
   handoff_description="A triage agent that can delegate a customer's request to the appropriate agent.",
   instructions=(
       f"{RECOMMENDED_PROMPT_PREFIX} "
       "You are a helpful triaging agent. You can use your tools to delegate questions to other appropriate agents."
   ),
   handoffs=[
       faq_agent,
       handoff(agent=seat_booking_agent, on_handoff=on_seat_booking_handoff),
   ],
)

faq_agent.handoffs.append(triage_agent)
seat_booking_agent.handoffs.append(triage_agent)

### RUN

async def main():
   current_agent: Agent[AirlineAgentContext] = triage_agent
   input_items: list[TResponseInputItem] = []
   context = AirlineAgentContext()


   # Normally, each input from the user would be an API request to your app, and you can wrap the request in a trace()
   # Here, we'll just use a random UUID for the conversation ID
   conversation_id = uuid.uuid4().hex[:16]


   while True:
       user_input = input("Enter your message: ")
       with trace("Customer service", group_id=conversation_id):
           input_items.append({"content": user_input, "role": "user"})
           result = await Runner.run(current_agent, input_items, context=context)

           for new_item in result.new_items:
               agent_name = new_item.agent.name
               if isinstance(new_item, MessageOutputItem):
                   print(f"{agent_name}: {ItemHelpers.text_message_output(new_item)}")
               elif isinstance(new_item, HandoffOutputItem):
                   print(
                       f"Handed off from {new_item.source_agent.name} to {new_item.target_agent.name}"
                   )
               elif isinstance(new_item, ToolCallItem):
                   print(f"{agent_name}: Calling a tool")
               elif isinstance(new_item, ToolCallOutputItem):
                   print(f"{agent_name}: Tool call output: {new_item.output}")
               else:
                   print(f"{agent_name}: Skipping item: {new_item.__class__.__name__}")
           input_items = result.to_input_list()
           current_agent = result.last_agent

if __name__ == "__main__":
   asyncio.run(main())