Mistral AI (tracing)

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from respan import propagate_attributes
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with propagate_attributes(
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    customer_identifier="user_123",
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    thread_identifier="conversation_456",
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    trace_group_identifier="mistralai_support_chat.workflow",
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    metadata={"plan": "pro", "workflow_name": "mistralai_support_chat.workflow"},
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):
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    response = client.chat.complete(
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        model="mistral/mistral-small",
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        messages=[{"role": "user", "content": "Summarize our support policy."}],
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    )

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response = client.chat.complete(
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    model="mistral/mistral-small",
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    messages=[
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        {"role": "user", "content": "Explain tracing in one sentence."},
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        {"role": "assistant", "content": "Tracing records how a request moves through a system."},
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        {"role": "user", "content": "Now make that explanation shorter."},
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    ],
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)
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print(response.choices[0].message.content)

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import asyncio
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import os
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from mistralai.client import Mistral
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async def main() -> None:
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    async with Mistral(api_key=os.environ["MISTRAL_API_KEY"]) as client:
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        response = await client.chat.complete_async(
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            model="mistral/mistral-small",
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            messages=[{"role": "user", "content": "Write a short haiku about traces."}],
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        )
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        print(response.choices[0].message.content)
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asyncio.run(main())