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Quickstart

Source code in OpAgentsOlympus/practice/quickstart.py
OpAgentsOlympus/practice/quickstart.py
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from pydantic import BaseModel
from agents import (
    Agent,
    GuardrailFunctionOutput,
    Runner,
    set_tracing_disabled,
    OpenAIChatCompletionsModel,
    InputGuardrail,
    RunConfig,
)
import os
from openai import AsyncOpenAI
import dotenv
import asyncio

dotenv.load_dotenv()
set_tracing_disabled(True)
GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY")

if not GEMINI_API_KEY:
    raise ValueError("API key not found!!")

client = AsyncOpenAI(
    api_key=GEMINI_API_KEY,
    base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
)
model = OpenAIChatCompletionsModel(model="gemini-2.0-flash", openai_client=client)
config = RunConfig(model=model, model_provider=client)


class HomeworkOutput(BaseModel):
    is_homework: bool
    reasoning: str


guardrail_agent = Agent(
    name="Guardrail check",
    instructions="Check if the user is asking about homework.",
    output_type=HomeworkOutput,
)

math_tutor_agent = Agent(
    name="Math Tutor",
    handoff_description="Specialist agent for math questions",
    instructions="You provide help with math problems. Explain your reasoning at each step and include examples",
)

history_tutor_agent = Agent(
    name="History Tutor",
    handoff_description="Specialist agent for historical questions",
    instructions="You provide assistance with historical queries. Explain important events and context clearly.",
)


async def homework_guardrail(ctx, agent, input_data):
    result = await Runner.run(
        guardrail_agent, input_data, context=ctx.context, run_config=config
    )
    final_output = result.final_output_as(HomeworkOutput)
    print(final_output)
    return GuardrailFunctionOutput(
        output_info=final_output,
        tripwire_triggered=not final_output.is_homework,
    )


triage_agent = Agent(
    name="Triage Agent",
    instructions="You determine which agent to use based on the user's homework question",
    handoffs=[history_tutor_agent, math_tutor_agent],
    input_guardrails=[
        InputGuardrail(guardrail_function=homework_guardrail),
    ],
)


async def main():
    # result =  Runner.run_streamed(triage_agent, "What is 2 + 2?", run_config=config)
    # async for event in result.stream_events():
    #     if event.type == "raw_response_event" and isinstance(event.data, ResponseTextDeltaEvent):
    #         print(event.data.delta, end="", flush=True)

    result = await Runner.run(triage_agent, "what is life", run_config=config)
    print(result.final_output)


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