Skip to main content

OpenTelemetry Langchain instrumentation

Project description

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 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 tapm_instrumentation_langchain-0.43.14-py3-none-any.whl.

File metadata

File hashes

Hashes for tapm_instrumentation_langchain-0.43.14-py3-none-any.whl
Algorithm Hash digest
SHA256 7c20a17ab9b3e67f93df812dc8775fc039a085832eae38ad13282f86970f6c17
MD5 e32567a9a7cc7a72dd02078cb2bc06a4
BLAKE2b-256 75bca18cad216f734d06916f6d4aed90811ace631f2a48d2fe624ab5867187bb

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