OpenTelemetry Vertex AI instrumentation

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

OpenTelemetry VertexAI Instrumentation

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

Installation

pip install opentelemetry-instrumentation-vertexai

Example usage

from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor

VertexAIInstrumentor().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
Project links
GitHub Statistics
Maintainers
Avatar for galklm from gravatar.com galklm Avatar for nirga from gravatar.com nirga Avatar for opentelemetry from gravatar.com opentelemetry

Unverified details

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

Release history Release notifications | RSS feed

2.2b0 pre-release

2.1b0 pre-release

2.0b0 pre-release

0.60.0

0.59.2

0.59.1

0.59.0

0.58.1

0.58.0

0.57.0

0.56.1

0.56.0

0.55.0

0.54.0

0.53.4

0.53.3

0.53.2

0.53.0

0.52.6

0.52.5

0.52.4

0.52.3

0.52.2

0.52.1

0.52.0

0.51.1

0.51.0

0.50.1

0.49.8

0.49.7

0.49.6

0.49.5

0.49.4

0.49.3

0.49.2

0.49.1

0.49.0

0.48.2

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0.47.5

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0.40.6

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0.38.7

0.38.6

0.38.5

0.38.4

0.38.3

0.38.2

0.38.1

0.38.0

This version

0.37.1

0.36.1

0.36.0

0.35.0

0.34.1

0.34.0

0.33.12

0.33.11

0.33.10

0.33.9

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0.32.0

0.31.4

0.31.3

0.31.2

0.31.1

0.31.0

0.30.1

0.30.0

0.29.2

0.29.1

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0.28.2

0.28.1

0.28.0

0.27.0

0.26.5

0.26.4

0.26.3

0.26.2

0.26.1

0.26.0

0.25.6

0.25.5

0.25.4

0.25.3

0.25.2

0.25.1

0.25.0

0.24.0

0.23.0

0.22.1

0.22.0

0.21.5

0.21.4

0.21.3

0.21.2

0.21.1

0.21.0

0.20.0

0.19.0

0.18.2

0.18.1

0.18.0

0.17.7

0.17.6

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.9

0.16.8

0.16.7

0.16.6

0.16.5

0.16.4

0.16.3

0.16.2

0.16.1

0.16.0

0.15.13

0.15.12

0.15.11

0.15.10

0.15.9

0.15.8

0.15.7

0.15.6

0.15.5

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

0.14.1

0.14.0

0.13.3

0.13.2

0.13.1

0.13.0

0.12.5

0.12.4

0.12.3

0.12.2

0.12.1

0.12.0

0.11.3

0.11.2

0.11.1

0.11.0

0.10.5

0.10.4

0.10.3

0.10.2

0.10.1

0.10.0

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.2

0.8.0

0.7.0

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.2

0.4.1

0.4.0

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.1

0.2.0

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.3

0.0.1

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