Files
Eduard van Valkenburg f2d02e58b3 Python: Add hosting core and Responses channel (#6580)
* Add Python hosting core and Responses channel

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address hosting core review feedback

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* Adopt source pyright typing setup for hosting packages

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* Cover ResponsesChannel custom path routing

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* Align hosting tests with package layout

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* Fix hosting workflow fixture imports in aggregate tests

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* Apply useful Responses channel hardening

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* Fix hosting package typing checks

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* Fix hosting pyright under Python 3.11

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* Avoid static diskcache dependency in hosting

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* Fix aggregate typing and Docker test resilience

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* Simplify local Responses workflow sample

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* Clarify generic hosting is not Foundry hosting

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* Revert "Clarify generic hosting is not Foundry hosting"

This reverts commit 73b584d919053bed43a258d75dc2b76406e9c181.

* Clarify isolation key source flexibility

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* Clarify isolation header reuse boundary

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* Support multimodal Responses channel outputs

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* Preserve multimodal streaming Responses output

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* Stream Responses output items from updates

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* Improve Responses streaming output handling

* Tighten Responses channel default option handling

- Restore full option parsing in parse_responses_request: known fields
  are remapped (max_output_tokens→max_tokens, parallel_tool_calls→
  allow_multiple_tool_calls), transport/session keys excluded, None
  values dropped, everything else forwarded as-is so run_hook can
  inspect the full set.
- Add a default _strip_options_hook on ResponsesChannel that removes
  all parsed options before reaching the agent. Callers cannot inject
  generation params (temperature, instructions, tools, …) unless the
  host explicitly allows it.
- A custom run_hook replaces the default entirely and receives the
  full ChannelRequest.options plus the raw protocol_request.
- Update tests to cover remap, default-strip, and custom-hook paths.
- Clarify host debug-log docstring to match new option flow.

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---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-23 20:56:46 +00:00
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Hosting Samples

This directory contains Python samples that demonstrate different ways to host Agent Framework agents. Use this page to choose the hosting model that best fits your scenario, then continue to the README in the relevant subdirectory.

Hosting Options

Option Use this when you need... Start here
A2A Agent-to-Agent protocol interoperability or remote agent invocation. a2a/README.md
Azure Functions HTTP or serverless hosting on Azure Functions. azure_functions/README.md
Durable Task Durable execution, long-running flows, or orchestration patterns. durabletask/README.md
Foundry Hosted Agents Azure AI Foundry hosted agent deployment. foundry-hosted-agents/README.md

How to Choose

  • Start with A2A if you want one agent to call or expose another agent over the A2A protocol.
  • Start with Azure Functions if you want an HTTP-hosted or serverless entry point using Azure Functions.
  • Start with Durable Task if you need persistent state, durable workflows, or orchestration across multiple steps.
  • Start with Foundry Hosted Agents if you want to package and deploy an agent as a hosted agent in Azure AI Foundry.

Common Prerequisites

Most hosting samples share a small set of prerequisites:

  • A supported Python environment for running the samples locally.
  • An Azure AI Foundry project endpoint and model deployment name for FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL.
  • Azure CLI authentication via az login when the sample uses AzureCliCredential.
  • Any hosting-specific tools or extra services called out in the subdirectory README.

Next Steps

  1. Pick the hosting approach that matches your scenario.
  2. Open the corresponding README for setup and run instructions.
  3. Follow that sample's environment, dependency, and execution steps.