Skip to main content

OpenTelemetry Anthropic instrumentation

Project description

OpenTelemetry Anthropic Instrumentation

This library allows tracing Anthropic prompts and completions sent with the official Anthropic library.

Installation

pip install opentelemetry-instrumentation-anthropic

Example usage

from opentelemetry.instrumentation.anthropic import AnthropicInstrumentor

AnthropicInstrumentor().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 IFTRACER_TRACE_CONTENT environment variable to false.

IFTRACER_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 opentelemetry_if_instrumentation_anthropic-0.25.6-py3-none-any.whl.

File metadata

File hashes

Hashes for opentelemetry_if_instrumentation_anthropic-0.25.6-py3-none-any.whl
Algorithm Hash digest
SHA256 32fd4cad08b1d3b1bdc724824102eee0010d614b5ad306811d500a4ae813a7d5
MD5 b9d5c8dcb0b35289d79484ae0e551d4e
BLAKE2b-256 55905da2a0549de7caed6a6e5dd54e2b06b6165293a4f9e9f24ede4a8b0f70ad

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