Mistral

Install:

shell

pip install "nullrun[mistral]"

mistral_client.py

import nullrun
from mistralai import Mistral

nullrun.init(api_key="nr_live_...")

client = Mistral(api_key=os.environ["MISTRAL_API_KEY"])
resp = client.chat.complete(
    model="mistral-large-latest",
    messages=[{"role": "user", "content": "Hello"}],
)

Patched via the per-vendor extractor in nullrun.instrumentation.auto. Mistral's API is OpenAI-compatible, so the same extractor that handles api.openai.com handles api.mistral.ai — it pulls usage.prompt_tokens / usage.completion_tokens from the response body.

Test coverage

Per NullRun's testing policy (see the SDK README), Mistral / Gemini / Cohere / Bedrock patches have extractor unit tests only — no full transport-to-track integration test. The per-vendor extractor shape is exercised by isolated tests, but no multi-roundtrip end-to-end test confirms the cost actually flows through /api/v1/track. This is documented per §8 of the source-of- truth positioning — verify behaviour against your real workload before relying on it.