agento11y-openai-agents

Agent Observability Python Framework Module: OpenAI Agents

agento11y-openai-agents provides callback handlers that map OpenAI Agents lifecycle events into agento11y generation recorder lifecycles.

Installation

pip install agento11y agento11y-openai-agents
pip install openai-agents

Quickstart

from agento11y import Client
from agento11y_openai_agents import with_agento11y_openai_agents_hooks

client = Client()
run_options = with_agento11y_openai_agents_hooks(None, client=client, provider_resolver="auto")
# Runner.run(agent, input="...", hooks=run_options["hooks"])

Native hooks wiring

from agento11y import Client
from agento11y_openai_agents import with_agento11y_openai_agents_hooks

client = Client()
run_options = with_agento11y_openai_agents_hooks(None, client=client, provider_resolver="auto")
# Runner.run(agent, input="...", hooks=run_options["hooks"])

Conversation mapping

Conversation ID precedence:

1. conversation_id / session_id / group_id
2. thread_id
3. deterministic fallback agento11y:framework:openai-agents:<run_id>

Metadata and lineage

Required framework tags:

• agento11y.framework.name=openai-agents
• agento11y.framework.source=handler
• agento11y.framework.language=python

Metadata includes:

• required: agento11y.framework.run_type
• optional: agento11y.framework.run_id, agento11y.framework.thread_id, agento11y.framework.parent_run_id, agento11y.framework.component_name, agento11y.framework.retry_attempt, agento11y.framework.event_id

Provider resolver

Resolver order: explicit provider option -> framework metadata -> model prefix inference -> custom.

Troubleshooting

• If conversations are fragmented, pass stable session_id or conversation_id in callback metadata.
• If provider is inferred as custom, set provider="openai" (or another provider) on handler init.
• Always call client.shutdown() during teardown.