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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -28,3 +28,8 @@ Follow these instructions to get started with Durable Functions in Python:
## Tooling

* Python Durable Functions requires [Azure Functions Core Tools](https://docs.microsoft.com/en-us/azure/azure-functions/functions-run-local) version 3.0.2630 or higher.

## Durable OpenAI Agents (Preview)

Build resilient, stateful AI agents backed by Durable Functions orchestration—see the full documentation at [docs/openai_agents/README.md](docs/openai_agents/README.md).

4 changes: 3 additions & 1 deletion docs/openai_agents/README.md
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Expand Up @@ -17,4 +17,6 @@ The Durable OpenAI Agents integration combines the familiar OpenAI Agents SDK wi
## Documentation

- [Getting Started](getting-started.md) - Setup and your first durable agent
- [Reference](reference.md) - Complete reference documentation
- [Reference](reference.md) - Complete reference documentation

> Compatibility note: This integration is validated with the exact OpenAI package versions pinned in the sample app at `samples-v2/openai_agents/requirements.txt` (currently `openai==1.107.3` and `openai-agents==0.3.0`). The OpenAI ecosystem evolves quickly; if you hit unexpected issues, first pin to these versions to rule out a version mismatch before filing an issue.
2 changes: 2 additions & 0 deletions docs/openai_agents/getting-started.md
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Expand Up @@ -56,6 +56,8 @@ Then install them:
pip install -r requirements.txt
```

> Compatibility note: This integration is validated with the exact OpenAI package versions pinned in the sample app at `samples-v2/openai_agents/requirements.txt` (currently `openai==1.107.3` and `openai-agents==0.3.0`). The OpenAI ecosystem evolves quickly; if you hit unexpected issues, first pin to these versions to rule out a version mismatch before filing an issue.

### Configuring Durable Task Scheduler Backend

**Durable Task Scheduler is the preferred backend** for this integration as it provides enhanced performance, better observability, and simplified local development. While not a hard requirement, it's strongly recommended for production workloads.
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