Skip to main content

OpenTelemetry Haystack instrumentation

Project description

OpenTelemetry Haystack Instrumentation

This library allows tracing complete LLM applications built with Haystack.

Installation

pip install opentelemetry-instrumentation-haystack

Example usage

from opentelemetry.instrumentation.haystack import HaystackInstrumentor

HaystackInstrumentor().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 overmind_instrumentation_haystack-0.53.0-py3-none-any.whl.

File metadata

File hashes

Hashes for overmind_instrumentation_haystack-0.53.0-py3-none-any.whl
Algorithm Hash digest
SHA256 76d0aad40f1d881c039bac46c41e653aa37ec880aa71da70021ffc4d5beb1476
MD5 9407c3962243f4362d7237d00f944812
BLAKE2b-256 afc2ec43c36ba5d3abfe6f2ae82c70e53773efb239e762a60404c1d2a6bbfd16

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