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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
…ctions - Durable Task SDK sample: FastAPI app with durable entity-based chat agent, SSE streaming via Redis pub/sub, echo fallback when no Azure OpenAI configured - Durable Functions sample: Azure Functions v2 (Python) with DFApp, entity-based chat agent, async Redis pub/sub collection via asyncio.to_thread() - Both samples tested end-to-end with DTS emulator and Redis Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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This pull request introduces a new sample for building agent-directed workflows using Azure Durable Functions in Python. It provides a complete implementation of an LLM-driven agent loop, including durable entity management, Redis-based pub/sub for response streaming, and integration with Azure OpenAI and custom tools. The sample includes code, configuration, and documentation to help users run and extend the solution.
The most important changes are:
Core Implementation:
function_app.pyimplementing a durable entity-based chat agent, HTTP endpoints for interacting with the agent, Redis pub/sub for streaming responses, and integration with Azure OpenAI and tools.tools.pydefining tool schemas (e.g.,get_weather) and execution logic, enabling the agent to call external functions as part of the agent loop.Configuration and Dependencies:
host.jsonto configure Durable Task Scheduler integration, logging, and extension bundles for the Azure Functions host.requirements.txtspecifying all necessary Python dependencies, including Azure Functions, Durable Functions, Redis, OpenAI, and Azure Identity libraries.Documentation:
README.mddescribing agent-directed workflows, how the sample works, setup instructions, API reference, and differences from the Durable Task SDK version.