OpenTelemetry Langchain Instrumentation

This library allows tracing complete LLM applications built with Langchain.

Installation

pip install opentelemetry-instrumentation-langchain

Example usage

from opentelemetry.instrumentation.langchain import LangchainInstrumentor

LangchainInstrumentor().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 TRACELOOP_TRACE_CONTENT environment variable to false.

TRACELOOP_TRACE_CONTENT=false

Project links

Data verified by PyPI on Aug 9, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (0.62.3)

2 maintainers

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Avatar for galklm from gravatar.com galklm Avatar for nirga from gravatar.com nirga

Credits

Author: Gal Kleinman

GitHub Statistics

Data verified by PyPI on Aug 9, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python <4, >=3.10

Provides Extra

instruments

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