Skip to main content

OpenTelemetry Mistral AI instrumentation

Project description

OpenTelemetry Mistral AI Instrumentation

This library allows tracing calls to any of mistralai's endpoints sent with the official Mistral AI library.

Installation

pip install opentelemetry-instrumentation-mistralai

Example usage

from opentelemetry.instrumentation.mistralai import MistralAiInstrumentor

MistralAiInstrumentor().instrument()

Privacy

By default, this instrumentation logs prompts, completions, and embeddings to span attributes. This gives you a clear visibility into how your LLM application is working, and can make it easy to debug and evaluate the quality of the outputs.

However, you may want to disable this logging for privacy reasons, as they may contain highly sensitive data from your users. You may also simply want to reduce the size of your traces.

To disable logging, set the IFTRACER_TRACE_CONTENT environment variable to false.

IFTRACER_TRACE_CONTENT=false

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file opentelemetry_if_instrumentation_mistralai-0.25.6-py3-none-any.whl.

File metadata

File hashes

Hashes for opentelemetry_if_instrumentation_mistralai-0.25.6-py3-none-any.whl
Algorithm Hash digest
SHA256 dc860f5bd772ecf0bd6aac114d1ed9f65746c47666a653d49fa85833b97801aa
MD5 77c6601904ee09c7d929486945b866cb
BLAKE2b-256 61d121d7f1c7ae881618281a658a0f2b6e100fc5686ef2c90a3f4ce85dd07eb4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page