Skip to main content

Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python

Project description

Vocengine TLS Bootstrap

This library allows tracing complete LLM applications built with Langchain.

Installation

pip install volcengine-tls-bootstrap

volcengine-tls-bootstrap -a install

Example usage

from volcengine.opentelemetry.instrumentation.auto_instrumentation import sitecustomize

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.

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.

volcengine_tls_bootstrap-1.0.1-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file volcengine_tls_bootstrap-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for volcengine_tls_bootstrap-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5b37f6d6f37f5ab3f92a931ba428e972e6221371bfed2555462ccf9b0630f7f5
MD5 37894852e6631e9c699a6dbc16cedc84
BLAKE2b-256 1af53b7007555d4566b808f02d1ff1312a82d1567f896583249bb9977c90d0d7

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