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The OpenInference MistralAI instrumentor traces calls made with the Mistral Python SDK (model, token usage, and messages) as OTLP spans.

Setup

1

Install the instrumentor and the OTLP exporter

2

Point the exporter at AgentMark and instrument Mistral

Use your AgentMark API key and app id from project settings.
3

Run your calls

Use the Mistral client as usual, with client.chat.complete(...). Each call arrives in AgentMark as a span, grouped into a trace. See Traces and logs.

What AgentMark captures

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?

Reach out any time: