MistralAI instrumentor traces calls made with the Mistral Python SDK — model, token usage, and messages — as OTLP spans. Point the exporter at AgentMark and the traces arrive normalized.
Setup
Point the exporter at AgentMark and instrument Mistral
Use your AgentMark API key and app id from project settings.
Run your calls
Use the Mistral client as usual —
client.chat.complete(...). Each call arrives in AgentMark as a span, grouped into a trace. See Traces and logs.What AgentMark captures
Mistral spans use the OpenInference attribute conventions — model, token usage, input and output messages, tool calls, settings, and span kind are all mapped onto AgentMark’s normalized trace fields, and token counts feed cost tracking. See OpenInference for the full attribute mapping.Next steps
OpenInference
How AgentMark reads OpenInference attributes
Traces and logs
Explore traces once they arrive
Have questions?
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