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
Release files for tapm-instrumentation-langchain 0.43.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tapm_instrumentation_langchain-0.43.3-py3-none-any.whl | Python 3 | none | any | Details |
Release files / tapm_instrumentation_langchain-0.43.3-py3-none-any.whl
| Download URL | tapm_instrumentation_langchain-0.43.3-py3-none-any.whl |
|---|---|
| Size | 20.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
73566d5a9acb96ddfc70ed79fa9b39ec1a8d7139ace75c0cfff457e499ee711c
|
|
BLAKE2b-256 checksum How to use checksums |
53aa154fe762bf6bc1732cf5638b80ee65a7a81fd9ccd4adcbe96f0a71ce1511
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.27.2
|
