Mistral AI

Documentation Index

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Mistral Tracing Tutorial (Google Colab)

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Prerequisites

• Python 3.10+
• An Arize AX account (sign up)
• A MISTRAL_API_KEY from La Plateforme

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Launch Arize AX

1. Sign in to your Arize AX account.
2. From Space Settings, copy your Space ID and API Key. You will set them as ARIZE_SPACE_ID and ARIZE_API_KEY below.

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Install

pip install arize-otel openinference-instrumentation-mistralai mistralai

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Configure credentials

export ARIZE_SPACE_ID="<your-space-id>"
export ARIZE_API_KEY="<your-api-key>"
export ARIZE_PROJECT_NAME="mistral-tracing-example"
export MISTRAL_API_KEY="<your-mistral-api-key>"

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Setup tracing

# instrumentation.py
import os

from arize.otel import register
from openinference.instrumentation.mistralai import MistralAIInstrumentor

tracer_provider = register(
    space_id=os.environ["ARIZE_SPACE_ID"],
    api_key=os.environ["ARIZE_API_KEY"],
    project_name=os.environ["ARIZE_PROJECT_NAME"],
)

MistralAIInstrumentor().instrument(tracer_provider=tracer_provider)
print("Arize AX tracing initialized for Mistral AI.")

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Run Mistral AI

# example.py
import os

# Importing instrumentation first ensures tracing is set up
# before `mistralai` is imported.
from instrumentation import tracer_provider

from mistralai.client import Mistral

client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])

response = client.chat.complete(
    model="mistral-small-latest",
    messages=[
        {
            "role": "user",
            "content": "Why is the ocean salty? Answer in two sentences.",
        },
    ],
)

print(response.choices[0].message.content)

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Expected output

Arize AX tracing initialized for Mistral AI.
The ocean is salty because rivers continuously dissolve mineral salts from rocks and soil and carry them to the sea, where they accumulate over millions of years. Water leaves the ocean through evaporation but the salts remain, steadily concentrating until reaching today's roughly 3.5% salinity.

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Verify in Arize AX

1. Open your Arize AX space and select project mistral-tracing-example.
2. You should see a new trace within ~30 seconds containing a MistralClient.chat LLM span with the prompt, response, and token usage attached.
3. If no traces appear, see Troubleshooting.

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Troubleshooting

• No traces in Arize AX. Confirm ARIZE_SPACE_ID and ARIZE_API_KEY are set in the same shell that runs example.py. Enable OpenTelemetry debug logs with export OTEL_LOG_LEVEL=debug and re-run.
• Mistral spans missing but other spans present. MistralAIInstrumentor().instrument(...) must run before any from mistralai.client import Mistral import. Make sure instrumentation.py is the first import in your entry point.
• 401 from Mistral. Verify MISTRAL_API_KEY is set and active in La Plateforme.
• 404 for the model. Mistral occasionally retires older model aliases. If mistral-small-latest returns 404, see the Mistral model list and pick a current one.

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Resources