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examples/.env
examples/openai_agents_multi_agent_travel/.env
examples/**/.env
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# Changelog

All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## Unreleased
- Document official package metadata and README for the OpenAI Agents instrumentation.
([#3859](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3859))

## Version 0.1.0 (2025-10-15)

- Initial barebones package skeleton: minimal instrumentor stub, version module,
and packaging metadata/entry point.
([#3805](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3805))
- Implement OpenAI Agents span processing aligned with GenAI semantic conventions.
([#3817](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3817))
- Input and output according to GenAI spec.
([#3824](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3824))
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OpenTelemetry OpenAI Agents Instrumentation
===========================================

|pypi|

.. |pypi| image:: https://badge.fury.io/py/opentelemetry-instrumentation-openai-agents-v2.svg
:target: https://pypi.org/project/opentelemetry-instrumentation-openai-agents-v2/

This library provides the official OpenTelemetry instrumentation for the
`openai-agents SDK <https://pypi.org/project/openai-agents/>`_. It converts
the rich trace data emitted by the Agents runtime
into the GenAI semantic conventions, enriches spans with request/response payload
metadata, and records duration/token usage metrics.

Features
--------

* Generates spans for agents, tools, generations, guardrails, and handoffs using
the OpenTelemetry GenAI semantic conventions.
* Captures prompts, responses, tool arguments, and system instructions when content
capture is enabled.
* Publishes duration and token metrics for every operation.
* Supports environment overrides so you can configure agent metadata or disable
telemetry without code changes.

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

If your application is already configured with OpenTelemetry, install the package
and its optional instruments:

.. code-block:: console

pip install opentelemetry-instrumentation-openai-agents-v2
pip install openai-agents

Usage
-----

Instrumentation automatically wires the Agents tracing processor into the SDK.
Configure OpenTelemetry as usual, then call :class:`OpenAIAgentsInstrumentor`.

.. code-block:: python

from agents import Agent, Runner, function_tool
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
from opentelemetry.instrumentation.openai_agents import OpenAIAgentsInstrumentor
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor


def configure_otel() -> None:
provider = TracerProvider()
provider.add_span_processor(BatchSpanProcessor(OTLPSpanExporter()))
trace.set_tracer_provider(provider)

OpenAIAgentsInstrumentor().instrument(tracer_provider=provider)


@function_tool
def get_weather(city: str) -> str:
return f"The forecast for {city} is sunny with pleasant temperatures."


assistant = Agent(
name="Travel Concierge",
instructions="You are a concise travel concierge.",
tools=[get_weather],
)

result = Runner.run_sync(assistant, "I'm visiting Barcelona this weekend. How should I pack?")
print(result.final_output)

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

The instrumentor exposes runtime toggles through keyword arguments and environment
variables:

* ``OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT`` or
``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT`` – controls how much
message content is captured. Valid values map to
:class:`opentelemetry.instrumentation.openai_agents.ContentCaptureMode`
(``span_only``, ``event_only``, ``span_and_event``, ``no_content``).
* ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS`` – set to ``false`` to
disable duration/token metrics.
* ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_SYSTEM`` – overrides the ``gen_ai.system``
attribute when your deployment is not the default OpenAI platform.

You can also override agent metadata directly when calling
``OpenAIAgentsInstrumentor().instrument(...)`` using ``agent_name``, ``agent_id``,
``agent_description``, ``base_url``, ``server_address``, and ``server_port``.

Examples
--------

The :mod:`examples` directory contains runnable scenarios, including:

* ``examples/manual`` – manual OpenTelemetry configuration for a single agent run.
* ``examples/content-capture`` – demonstrates span and event content capture.
* ``examples/zero-code`` – end-to-end setup using environment configuration only.

References
----------

* `OpenTelemetry Python Contrib <https://github.com/open-telemetry/opentelemetry-python-contrib>`_
* `OpenTelemetry GenAI semantic conventions <https://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-spans/>`_
* `OpenAI Agents SDK <https://github.com/openai/openai-agents-python>`_
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# Copy to .env and add values before running the sample.
# Required for OpenAI client (only used if you swap in a real OpenAI call)
OPENAI_API_KEY=

# Optional overrides for span attributes / exporters
OTEL_SERVICE_NAME=openai-agents-content-capture-demo
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
OTEL_EXPORTER_OTLP_PROTOCOL=grpc
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# OpenAI Agents Content Capture Demo

This example exercises the `OpenAIAgentsInstrumentor` with message content
capture enabled, illustrating how prompts, responses, and tool payloads are
recorded on spans and span events.

> The demo uses the local tracing utilities from the `openai-agents`
> package—no outbound API calls are made.
## Prerequisites

1. Activate the repository virtual environment:

```bash
source ../../.venv/bin/activate
```

2. Copy `.env.example` to `.env` and provide any overrides you need (for example,
setting `OTEL_EXPORTER_OTLP_ENDPOINT`).
3. Ensure `openai-agents` is installed in the environment (it is included in
the shared development venv for this repository).

## Run the demo

```bash
python main.py
```

The script will:

- Configure the OpenTelemetry SDK with an OTLP exporter so spans reach your collector.
- Instrument the OpenAI Agents tracing hooks with content capture enabled.
- Simulate an agent invocation that performs a generation and a tool call.
- Print the resulting spans, attributes, and events (including JSON-encoded
prompts and responses) to stdout.

## Customisation tips

- Set `OTEL_SERVICE_NAME` before running to override the default service name.
- Adjust the OTLP exporter configuration (endpoint, protocol) through `.env`.
- Modify the prompts, tool payloads, or add additional spans in `run_workflow`
to explore different content capture scenarios.
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