OpenTelemetry transformers instrumentation

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  • License: Apache Software License (Apache-2.0)
  • Author: Gal Kleinman
  • Requires: Python <4, >=3.9
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Project description

OpenTelemetry HuggingFace Transformers Instrumentation

This library allows tracing texte generation calls sent with the official HuggingFace Transformers library.

Installation

pip install opentelemetry-instrumentation-transformers

Example usage

from opentelemetry.instrumentation.transformers import TransformersInstrumentor

TransformersInstrumentor().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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for galklm from gravatar.com galklm Avatar for nirga from gravatar.com nirga

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache-2.0)
  • Author: Gal Kleinman
  • Requires: Python <4, >=3.9
Classifiers

Release history Release notifications | RSS feed

0.53.3

0.53.2

0.53.0

0.52.6

0.52.5

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This version

0.15.4

0.15.3

0.15.2

0.15.1

0.15.0

0.14.5

0.14.4

0.14.3

0.14.2

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0.0.1a5 pre-release

0.0.1a4 pre-release

0.0.1a3 pre-release

0.0.1a2 pre-release

0.0.1a1 pre-release

0.0.1a0 pre-release

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