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feat: OpenAI Agents tracing according to latest genai spec
nagkumar91 Sep 25, 2025
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Basic example and move the original one as quickstart
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1 change: 1 addition & 0 deletions instrumentation-genai/README.md
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| --------------- | ------------------ | --------------- | -------------- |
| [opentelemetry-instrumentation-google-genai](./opentelemetry-instrumentation-google-genai) | google-genai >= 1.0.0 | No | development
| [opentelemetry-instrumentation-langchain](./opentelemetry-instrumentation-langchain) | langchain >= 0.3.21 | No | development
| [opentelemetry-instrumentation-openai-agents](./opentelemetry-instrumentation-openai-agents) | openai-agent >= 0.1.0 | Yes | development
| [opentelemetry-instrumentation-openai-v2](./opentelemetry-instrumentation-openai-v2) | openai >= 1.26.0 | Yes | development
| [opentelemetry-instrumentation-vertexai](./opentelemetry-instrumentation-vertexai) | google-cloud-aiplatform >= 1.64 | No | development
| [opentelemetry-instrumentation-weaviate](./opentelemetry-instrumentation-weaviate) | weaviate-client >= 3.0.0,<5.0.0 | No | development
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examples/.env
examples/openai_agents_multi_agent_travel/.env
Empty file.
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# Changelog

## Unreleased

### Added

- Initial implementation of OpenAI Agents instrumentation
- Support for OpenAI API client tracing in agent frameworks
- Capture of request/response content and metrics
- Configuration options for content capture and metrics collection

### Changed

### Deprecated

### Removed

### Fixed

### Security
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OpenTelemetry OpenAI Agents Instrumentation
==========================================

|pypi|

.. |pypi| image:: https://badge.fury.io/py/opentelemetry-instrumentation-openai-agents.svg
:target: https://pypi.org/project/opentelemetry-instrumentation-openai-agents/

This library allows tracing OpenAI Agents framework requests and logging of messages made by the
`OpenAI Python API library <https://pypi.org/project/openai/>`_ when used with agent frameworks.
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@lzchen lzchen Sep 26, 2025

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Not entirely sure which library this instrumentor instruments. Is it openai or openai-agents?

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I think a question to bring up to the SIG is if we would want this instrumentation to be standalone or included as part of openai instrumentation

It also captures the duration of the operations and the number of tokens used as metrics.

Installation
------------

::

pip install opentelemetry-instrumentation-openai-agents

Dependency note
---------------

This instrumentation integrates with the OpenAI Agents framework via the
`openai-agent <https://pypi.org/project/openai-agent/>`_ package. Ensure
``openai-agent>=0.1.0`` is installed in environments where agent events are
emitted; otherwise, the instrumentor will load but skip processor setup.

Usage
-----

.. code:: python

from openai import OpenAI
from opentelemetry.instrumentation.openai_agents import OpenAIAgentsInstrumentor

OpenAIAgentsInstrumentor().instrument()

# Your OpenAI agents code here
client = OpenAI()

API
---

The `opentelemetry-instrumentation-openai-agents` package provides automatic instrumentation for the OpenAI Agents framework.

Configuration
-------------

The following environment variables can be used to configure the instrumentation:

- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT``: Set to ``true`` to capture the content of the requests and responses. Default is ``false``.
- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS``: Set to ``true`` to capture metrics. Default is ``true``.

References
----------

* `OpenTelemetry Project <https://opentelemetry.io/>`_
* `OpenAI Python API Library <https://pypi.org/project/openai/>`_
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groups:
- id: event.gen_ai.client.inference.operation.details
name: gen_ai.client.inference.operation.details
type: event
stability: development
brief: >
Describes the details of a GenAI completion request including chat history
and parameters.
note: >
This event is opt-in and could be used to store input and output details
independently from traces.
extends: attributes.gen_ai.inference.client

- id: event.gen_ai.evaluation.result
name: gen_ai.evaluation.result
type: event
stability: development
brief: >
This event captures the result of evaluating GenAI output for quality, accuracy, or other characteristics.
This event SHOULD be parented to GenAI operation span being evaluated when possible
or set `gen_ai.response.id` when span id is not available.
attributes:
- ref: gen_ai.evaluation.name
requirement_level: required
- ref: gen_ai.evaluation.score.value
requirement_level:
conditionally_required: if applicable
- ref: gen_ai.evaluation.score.label
requirement_level:
conditionally_required: if applicable
- ref: gen_ai.evaluation.explanation
requirement_level: recommended
- ref: gen_ai.response.id
requirement_level:
recommended: when available
note: |
The unique identifier assigned to the specific
completion being evaluated. This attribute helps correlate the evaluation
event with the corresponding operation when span id is not available.
- ref: error.type
requirement_level:
conditionally_required: "if the operation ended in an error"
note: |
The `error.type` SHOULD match the error code returned by the Generative AI Evaluation provider or the client library,
the canonical name of exception that occurred, or another low-cardinality error identifier.
Instrumentations SHOULD document the list of errors they report.
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# OpenAI Agents Instrumentation Configuration Example
# ===================================================

# Copy this file to your project and modify as needed
# Set these environment variables to configure the instrumentation

# Enable/disable content capture (request/response bodies)
# Default: false

# Standard OpenTelemetry configuration
# Set your service name
OTEL_SERVICE_NAME=my-openai-agents-service

# Set your service version
OTEL_SERVICE_VERSION=1.0.0

# Set your resource attributes
OTEL_RESOURCE_ATTRIBUTES=service.name=my-openai-agents-service,service.version=1.0.0

# Configure exporters (example for OTLP)
# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
# OTEL_EXPORTER_OTLP_HEADERS=api-key=your-api-key

# Configure trace exporters
# OTEL_TRACES_EXPORTER=otlp

# Configure metrics exporters
# OTEL_METRICS_EXPORTER=otlp

# Configure logs exporters
# OTEL_LOGS_EXPORTER=otlp
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