AgentSpec (gateway)

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import os
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from pyagentspec.adapters.langgraph import AgentSpecLoader
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from pyagentspec.agent import Agent
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from pyagentspec.llms import OpenAiConfig
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from respan import Respan
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from respan_instrumentation_agentspec import AgentSpecInstrumentor
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os.environ["OPENAI_API_KEY"] = os.environ["RESPAN_API_KEY"]
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os.environ["OPENAI_BASE_URL"] = "https://api.respan.ai/api"
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respan = Respan(
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    app_name="agentspec-haiku-agent",
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    instrumentations=[
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        AgentSpecInstrumentor(workflow_name="agentspec_haiku_agent")
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    ],
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)
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try:
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    agent = Agent(
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        name="haiku_assistant",
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        description="A helpful assistant that writes haikus.",
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        llm_config=OpenAiConfig(name="openai", model_id="gpt-4.1-nano"),
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        system_prompt="You are a helpful assistant. Respond only with a haiku.",
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    )
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    langgraph_agent = AgentSpecLoader().load_component(agent)
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    result = langgraph_agent.invoke(
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        input={"messages": [{"role": "user", "content": "Write a haiku about recursion."}]}
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    )
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    print(result["messages"][-1].content)
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finally:
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    respan.shutdown()
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    respan.flush()