OpenAI Agents SDK

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from respan import Respan, workflow, task
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from respan_instrumentation_openai_agents import OpenAIAgentsInstrumentor
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from agents import Agent, Runner, function_tool
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respan = Respan(instrumentations=[OpenAIAgentsInstrumentor()])
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@function_tool
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def search_docs(query: str) -> str:
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    """Search the documentation."""
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    return f"Results for: {query}"
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researcher = Agent(
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    name="Researcher",
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    instructions="You research topics using the search tool.",
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    tools=[search_docs],
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)
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writer = Agent(
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    name="Writer",
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    instructions="You write concise summaries.",
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)
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@task(name="research")
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async def research(topic: str) -> str:
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    result = await Runner.run(researcher, f"Research: {topic}")
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    return result.final_output
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@workflow(name="research_and_write")
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async def pipeline(topic: str):
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    findings = await research(topic)
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    result = await Runner.run(writer, f"Summarize: {findings}")
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    print(result.final_output)
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import asyncio
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asyncio.run(pipeline("API gateways"))
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respan.flush()

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from agents import Agent, Runner, function_tool, trace
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@function_tool
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def get_weather(city: str) -> str:
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    """Get the weather for a city."""
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    return f"The weather in {city} is sunny, 72F"
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agent = Agent(
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    name="Weather Agent",
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    instructions="Help users check the weather.",
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    tools=[get_weather],
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)
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async def main():
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    with trace("Weather check"):
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        result = await Runner.run(agent, "What's the weather in San Francisco?")
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        print(result.final_output)
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    respan.flush()

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from agents import Agent, Runner, trace
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billing_agent = Agent(
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    name="Billing Agent",
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    instructions="Handle billing questions.",
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)
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support_agent = Agent(
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    name="Support Agent",
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    instructions="Route billing questions to the billing agent.",
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    handoffs=[billing_agent],
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)
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async def main():
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    with trace("Support handoff"):
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        result = await Runner.run(support_agent, "I have a billing question")
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        print(result.final_output)

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from openai.types.responses import ResponseTextDeltaEvent
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from agents import Agent, Runner
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agent = Agent(name="Joker", instructions="You tell jokes.")
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result = Runner.run_streamed(agent, input="Tell me 3 jokes.")
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async for event in result.stream_events():
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    if event.type == "raw_response_event" and isinstance(
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        event.data, ResponseTextDeltaEvent
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    ):
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        print(event.data.delta, end="", flush=True)

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agent = Agent(
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    name="Assistant",
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    model="claude-sonnet-4-5-20250929",  # Use Anthropic via gateway
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    instructions="You are a helpful assistant.",
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)