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Author SHA1 Message Date
Laveesh Rohra 172423aab7 .NET: Python: Merge main into feature-durabletask branch (#3385)
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* Python: Add factory pattern to concurrent orchestration builder (#2738)

* Add factory pattern to concurrent orchestration builder

* Update readme

* Address AI comments

* Fix unit tests

* Fix import

* Prevent multiple calls to set participants or factories

* Add comments

* Mitigate warnings

* Fix mypy

* Address comments

* Address Copilot comments

* Fix tests

* Python: fix: GroupChat ManagerSelectionResponse JSON Schema for OpenAI Structured Outpu… (#2750)

* fix: ManagerSelectionResponse JSON Schema for OpenAI Structured Output Strict Mode

* refactor: install pre-commit then commit again

* Capture file IDs from code interpreter in streaming responses (#2741)

* .NET: [BREAKING] Prevent nulls in AIAgent property (#2719)

* prevent nulls in AIAgent property

* address feedback

* code ql sm04598 (#2723)

Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com>

* .NET: Add Conversation State Sample (Step05) (#2697)

* Initial plan

* Add Agent_OpenAI_Step05_Conversation sample for conversation state management

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Update Program.cs comment to accurately describe the sample

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Update the code to use the ConversationClient more in line with the samples in OpenAI

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Changing sample to use ChatClientAgent and conversationId in GetNewThread

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.7 to 4.0.4.11 (#2777)

---
updated-dependencies:
- dependency-name: AWSSDK.Extensions.Bedrock.MEAI
  dependency-version: 4.0.4.11
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.Identity from 1.17.0 to 1.17.1 (#2780)

---
updated-dependencies:
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2778)

---
updated-dependencies:
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Python: added more complete parsing for mcp tool arguments (#2756)

* added more complete parsing for mcp tool arguments

* fixed mypy

* added nonlocal model counter, and some fixes

* fixes in naming logic

* extracted json parsing function, added parametrized test and checked coverage

* Python: Updated package versions (#2784)

* Updated package versions

* Small fix

* Bump actions/checkout from 5 to 6 (#2404)

Bumps [actions/checkout](https://github.com/actions/checkout) from 5 to 6.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>

* .NET: adds support for labels in edges,  fixes rendering of labels in dot a… (#1507)

* adds support for labels in edges,  fixes rendering of labels in dot and mermaid, adds rendering of labels in edges

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* escaping edge labels, adding tests for labels containing strange characters that would break the diagram and enabling the previous signature so the API has backwards compatibility.

* Unify label in EdgeData

* Edge API adjustments, removed useless "sanitizer"

* fixed test

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Jacob Alber <jaalber@microsoft.com>
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>

* Python: Added custom args and thread object to ai_function kwargs (#2769)

* Added an example of using kwargs in ai_function

* Added thread object to ai_function kwargs

* Updated docs

* Small fix

* Added thread parameter filtering

* Fix WorkflowAgent to include thread convo history. Enable checkpointing. (#2774)

* Update OpenAIResponses.yaml to match AgentSchema (#2598)

1. Update `connection` child types --  `kind: ApiKey` to `kind: key` otherwise schema will fail: https://microsoft.github.io/AgentSchema/reference/apikeyconnection/

2.  Update `outputSchema`'s `PropertySchema` to be `kind` instead of `type` otherwise schema will fail: https://microsoft.github.io/AgentSchema/reference/propertyschema/

* Python: Remove warnings from workflow builder on not using factories (#2808)

* Revert concurrent

* Fix comments

* Python: Filter framework kwargs from MCP tool invocations (#2870)

* Filter framework kwargs from MCP tool invocations

* Fixes

* Python: Fix WorkflowAgent to emit yield_output as agent response (#2866)

* Fix WorkflowAgent to emit yield_output as agent response

* use raw_representation

* Raw representation handling

* Python: Use agent description in HandoffBuilder auto-generated tools (#2713) (#2714)

## Summary
Enhanced `HandoffBuilder._apply_auto_tools` to use the target agent's
description when creating handoff tools, providing more informative tool
descriptions for LLMs.

## Changes
- Modified `_apply_auto_tools` to extract `description` from
  `AgentExecutor._agent` when available
- Updated iteration to use `.items()` for more efficient dict traversal
- Handoff tools now use agent descriptions instead of generic placeholders

## Example
Before: "Handoff to the refund_agent agent."
After: "You handle refund requests. Ask for order details and process refunds."

## Testing
- All handoff tests pass (20/20)
- No breaking changes to existing API

Fixes #2713

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>

* Python: [BREAKING] Observability updates (#2782)

* fixes Python: Add env_file_path parameter to setup_observability() similar to AzureOpenAIChatClient
Fixes #2186

* WIP on updates using configure_azure_monitor

* improved setup and clarity

* fixed root .env.example

* revert changes

* updated files

* updated sample

* updated zero code

* test fixes and fixed links

* fix devui

* removed planning docs

* added enable method and updated readme and samples

* clarified docstring

* add return annotation

* updated naming

* update capatilized version

* updated readme and some fixes

* updated decorator name inline with the rest

* feedback from comments addressed

* Python: Fix middleware terminate flag to exit function calling loop immediately (#2868)

* Fix middleware terminate flag to exit function calling loop immediately

* Eliminating duck typing

* Improve function exec result handling

* Fix race condition

* Fix mypy issues

* Python: Fix context duplication in handoff workflows when restoring from checkpoint (#2867)

* Fix context duplication in handoff workflows when restoring from checkpoint

* Address Copilot PR review

* .NET: Update to latest Azure.AI.*, OpenAI, and M.E.AI* (#2850)

* Update to latest Azure.AI.*, OpenAI, and M.E.AI*

Absorb breaking changes in Responses surface area

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Using patch to remove the model is necessary, updated the response client to actually use the the ForAgent

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>

* Bump actions/download-artifact from 6 to 7 (#2862)

Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 6 to 7.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v6...v7)

---
updated-dependencies:
- dependency-name: actions/download-artifact
  dependency-version: '7'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Bump actions/cache from 4 to 5 (#2861)

Bumps [actions/cache](https://github.com/actions/cache) from 4 to 5.
- [Release notes](https://github.com/actions/cache/releases)
- [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md)
- [Commits](https://github.com/actions/cache/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/cache
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Bump actions/upload-artifact from 5 to 6 (#2860)

Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 5 to 6.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Python : Ollama Connector for Agent Framework (#1104)

* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

* remove"opentelemetry-semantic-conventions-ai ~=0.4.13" since its handled in a different pr

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/ollama/pyproject.toml

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/ollama/tests/test_ollama_chat_client.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Improved Docstrings & Sample

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Integrate PR Feedback
- Divided Streaming and Non-Streaming into independent Methods
- Catch Ollama Validation Error
- Add OTEL Provider Name
- Checked Ollama Messages
- Add Usage Statistics

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

* Update python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Integrated Copilot Feedback

* Implement first PR Feedback

* Adjust Readme files for examples

* Adjust argument passing via additional chat options

* Implemented PR Feedback

* Removing Ollama Package from Core and moving samples

* Fix Link & Adding Samples to Main Sample Readme

* Fixing Links in Readme

* Moved Multimodal and Chat Example

* Fixed Link in ChatClient to Ollama

* Fix AgentFramework Links in Ollama Project

* Fix observability breaking change

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Skip failing IT (#2904)

* .NET: Cosmos DB UT Fast Skip (For Non-Configured Local envs) (#2906)

* Cosmos DB UT Fast Skip (Non-Configured Local envs) + Long running UT skip in pipeline when no CosmosDB changes happened

* Force a CosmosDB source code change to trigger the pipeline

* Address possible string boolean mismatch

* Add debug

* Enabling emulator always when running IT

* .NET: Add TTLs to durable agent sessions (#2679)

* .NET: Add TTLs to durable agent sessions

* Remove unnecessary async

* PR feedback: clarify UTC

* PR feedback: limit minimum signal delay to <= 5 minutes

* PR feedback: Fix TTL disablement

* Linter: use auto-property

* Fix build break from OpenAI SDK change

* Updated CHANGELOG.md

* PR feedback

* Reduce default TTL to 14 days to work around DTS bug

* Python:  Update Mem0Provider to use v2 search API `filters` parameter (#2766)

* short fix to move id parameters to filters object

* added tests

* small fix

* mem0 dependency update

* Updated package versions (#2913)

* .NET: Switch to new "Run" method name. (#2843)

* Switch to new "RunAgent" method name.

* Try to disable false positive naming warning.

* Add comment about disabled warnings.

* Rename `RunAgent` to just `Run`.

* Update CHANGELOG.

* Python: Switch to new "run" method name. (#2890)

* Switch to `run` method.

* Add support for deprecated `run_agent`.

* Fix entity method name.

* Fix method name and improve tests.

* Update comment.

* Update Python CHANGELOG.

* [BREAKING] Python: Add factory pattern to handoff orchestration builder (#2844)

* WIP: Factory pattern to handoff

* Add factory pattern to concurrent orchestration builder; Next: tests and sample verification

* Add tests and improve comments

* Fix mypy

* Simplify handoff_simple.py

* Simplify handoff_autonoumous.py and bug fix

* Update readme

* Address Copilot comments

* Python: Flow custom kwargs to agents via Workflow SharedState (#2894)

* Flow custom kwargs to agents via SharedState

* Address Copilot feedback

* Improve sample typing

* Fix test

* Fix Pydantic error when using Literal type for tool params (#2893)

* Updated Ollama package version (#2920)

* Python: Azure AI Agent with Bing Grounding Citations Sample (#2892)

* bing grounding sample with citations

* small fix

* fix

* .NET: Make DelegatingAIAgent abstract (#2797)

* Initial plan

* Make DelegatingAIAgent abstract

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Added additional arguments for Azure AI agent (#2922)

* Python: Correction of MCP image type conversion in  _mcp.py (#2901)

* Correction of MCP image type conversion in  _mcp.py

* Added a new overload to the init function of the DataContent() type of the Agent Framework, edited the test case to correctly test the usage of the data and uri fields while using DataContent()

* Fixed tests related to the changes of the DataContent type, added testing for both string and byte representations

* Pass kwargs into subworkflows (#2923)

* Python: Move ollama samples to samples getting started dir (#2921)

* Move ollama samples to samples getting started dir

* Address feedback

* Python: fix: correct BadRequestError when using Pydantic model in response_fo… (#1843)

* fix: correct BadRequestError when using Pydantic model in response_format

* Fix lint

---------

Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>

* .NET: [Breaking] Delete display name property (#2758)

* delete the AIAgent.DisplayName property

* use agent name as a first value for activity display name

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffAgentExecutor.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Python: cleanup and refactoring of chat clients (#2937)

* refactoring and unifying naming schemes of internal methods of chat clients

* set tool_choice to auto

* fix for mypy

* added note on naming and fix #2951

* fix responses

* fixes in azure ai agents client

* Python: Workflow add option to visualize internal executors (#2917)

* Workflow add option to visualize internal executors

* Address Copilot comments

* Python: Fixes Run ID and Thread ID casing to align with AG-UI Typescript SDK (#2948)

* added camelCase input to run id and thread id aligning with @ag-ui/core

* fixed per copilot suggestions

* Python: Add workflow cancellation sample (#2732)

* Add workflow cancellation sample

Add sample demonstrating how to cancel a running workflow using asyncio
tasks. Shows both cancellation mid-execution and normal completion paths.
Useful for implementing timeouts, graceful shutdown, or A2A executors.

* update docstring

* .NET: Update Anthropic package to version 12.0.0 (#2914)

* Initial plan

* Update Anthropic package to version 12.0.0

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

* Python: Add Azure Managed Redis Support with Credential Provider (#2887)

* azure redis support

* small fixes

* azure managed redis sample

* fixes

* Bump CommunityToolkit.Aspire.OllamaSharp from 13.0.0-beta.440 to 13.0.0 (#2856)

---
updated-dependencies:
- dependency-name: CommunityToolkit.Aspire.OllamaSharp
  dependency-version: 13.0.0
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.11 to 4.0.5 (#2853)

---
updated-dependencies:
- dependency-name: AWSSDK.Extensions.Bedrock.MEAI
  dependency-version: 4.0.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com>

* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2854)

---
updated-dependencies:
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>

* Python: Fix WorkflowAgent event handling and kwargs forwarding (#2946)

* Fix kwargs propagation through workflow.as_agent()

* Fix WorkflowAgent to respect AgentExecutor output_response setting

* .NET: Use GrpcEntityRunner instead of TaskEntityDispatcher (#2759)

* Use GrpcEntityRunner instead of TaskEntityDispatcher

* Pin to Durable worker 1.11.0

* Set the invocation result

* Update all Durable packages

* Update changelog, rename dispatcher to encondedEntityRequest

* Python: Bump Py version to 1.0.0b251218 for a release. Update CHANGELOG (#2968)

* Bump Py version to 1.0.0b251218 for a release. Update CHANGELOG

* update lock

* Fix formatting

* Fix ChatKit typing

* Python: Introducing Foundry Local Chat Clients (#2915)

* redo foundry local chat client

* fix mypy and spelling

* better docstring, updated sample

* fixed tests and added tests

* small sample update

* Updated package versions (#2978)

* Python: Added GitHub MCP sample with PAT (#2967)

* added github mcp sample with PAT

* addressed copilot fixes

* env fix

* Python: Preserve reasoning blocks with OpenRouter (#2950)

* Preserve reasoning blocks with OpenRouter

* Put encrypted reasoning in TextReasoningContent

* Remove unneccessary change

* Fix docs

* Support streaming

* Fix handling None in TextReasoningContent.text

* Python: Added response.created and response.in_progress event process to OpenAIBaseResponseClient (#2975)

* added response.created and response.in_progress to include response.id

* better doc string

* added tests for the new streaming event types

* Python: Introducing support for Bedrock-hosted models (Anthropic, Cohere, etc.) (#2610)

* Pushing the bedrock related changes to the new branch after addressing the review comments

* 2524 Addressed the second round review comments

* 2524 Addressed few more minor comments on the PR

* resolving the merge conflict

* 2524 resolved the uv.lock conflicts

* 2524 addressed more comments

* 2524 removed the print statement to fix the checks failure

* 2524 resolved the CI failure issues

* 2524 fixing the CI breaks

* 2524 Addressed the review comment

* 2524 resolved conflict

---------

Co-authored-by: Sunil Dutta <sunil.dutta@penske.com>
Co-authored-by: budgetboardingai <apurva.sharma31@gmail.com>

* .NET: [Durable Agents] Reliable streaming sample (#2942)

* .NET: [Durable Agents] Reliable streaming sample

* Add automated validation for new sample

* Address Copilot PR feedback

* Fix typo in README.md about agent definitions (#2634)

* Fix typo in README.md about agent definitions

* Update agent-samples/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Python: latency improvements (#3014)

* latency improvements

* fixed mypy, added coding standards and instructions

* slight logic improvement

* Python: Updated package versions (#3024)

* Updated package versions

* Updated changelog

* Python: add powerfx safe mode (#3028)

* add powerfx safe mode

* improved docstring and aligned env_file loading

* ensured test uses reset

* .NET: [Breaking] Introduce RunCoreAsync/RunCoreStreamingAsync delegation pattern in AIAgent (#2749)

* Initial plan

* Refactor AIAgent: Make RunAsync and RunStreamingAsync non-abstract, add RunCoreAsync and RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix infinite recursion in test implementations

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Make RunAsync and RunStreamingAsync non-virtual as requested

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix DelegatingAIAgent subclasses to use RunCoreAsync/RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix XML documentation references in AnonymousDelegatingAIAgent

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Restore <see cref> tags with proper qualified signatures in AnonymousDelegatingAIAgent

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* Rollback unnecessary XML documentation changes in AnonymousDelegatingAIAgent

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* Remove pragma and update crefs to RunCoreAsync/RunCoreStreamingAsync

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* Fix EntityAgentWrapper to call base.RunCoreAsync/RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* fix compilation issues

* fix compilatio issue

* fix tests

* fix unit tests

* fix unit test

---------

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* add issue template and additional labeling (#3006)

* fix and extra int test (#3037)

* .NET: [BREAKING] Refactor ChatMessageStore methods to be similar to AIContextProvider and add filtering support (#2604)

* Refactor ChatMessageStore methods to be similar to AIContextProvider

* Fix file encoding

* Ensure that AIContextProvider messages area also persisted.

* Update formatting and seal context classes

* Improve formatting

* Remove optional messages from constructor and add unit test

* Add ChatMessageStore filtering via a decorator

* Update sample and cosmos message store to store AIContextProvider messages in right order. Fix unit tests.

* Update Workflowmessage store to use aicontext provider messages.

* Apply suggestions from code review

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* Apply suggestions from code review

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Improve xml docs messaging

* Address code review comments.

* Also notify message store on failure

---------

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* [BREAKING] Remove unused AgentThreadMetadata (#3067)

* Remove unused AgentThreadMetadata

* Update DurableTask Changelog

* Python: Fix AzureAIClient failure when conversation history contains assistant messages (#3076)

* Fix AzureAIClient failure when conversation history contains assistant messages

* Address PR review feedback: improve docstring and test assertions

* Remove redundant cast

* Fix: Update OTLP exporter protocol conditions (#3070)

* Python: Fix ExecutorInvokedEvent and ExecutorCompletedEvent observability data (#3090)

* Fix ExecutorInvokedEvent.data mutation bug

* Fix bug related to not yielding output type

* .NET: Seal ChatClientAgentThread (#2842)

* Initial plan

* Seal ChatClientAgentThread class

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---------

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* Fix broken strands urls. (#3102)

* Fix broken strands urls.

* Fix typos

* .NET: Fix message ordering inconsistency when using AIContextProvider (#2659)

* Initial plan

* Fix message ordering inconsistency when using AIContextProvider

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* Revert to original message ordering: Input, AIContextProvider, Response

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* Reorder messages to ChatClient to match MessageStore order: Existing, Input, AIContextProvider

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* Remove redundant test methods as existing tests already verify the behavior

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* fix: tool_choice parameter not being honored when passed to agent.run() (#3095)

* sharepoint sample fix (#3108)

* Bump versions to 1.0.0b260106 for a release. Update CHANGELOG.md (#3109)

* Bump Bedrock version to latest (#3110)

* Python: Fix MCP tool result serialization for list[TextContent] (#2523)

* Fix MCP tool result serialization for list[TextContent]

When MCP tools return results containing list[TextContent], they were
incorrectly serialized to object repr strings like:
'[<agent_framework._types.TextContent object at 0x...>]'

This fix properly extracts text content from list items by:
1. Checking if items have a 'text' attribute (TextContent)
2. Using model_dump() for items that support it
3. Falling back to str() for other types
4. Joining single items as plain text, multiple items as JSON array

Fixes #2509

* Address PR review feedback for MCP tool result serialization

- Extract serialize_content_result() to shared _utils.py
- Fix logic: use texts[0] instead of join for single item
- Add type annotation: texts: list[str] = []
- Return empty string for empty list instead of '[]'
- Move import json to file top level
- Add comprehensive unit tests for serialization

* Address PR review feedback: fix type checking and double serialization

- Add isinstance(item.text, str) check to ensure text attribute is a string
- Fix double-serialization issue by keeping model_dump results as dicts
  until final json.dumps (removes escaped JSON strings in arrays)
- Improve docstring with detailed return value documentation
- Add test for non-string text attribute handling
- Add tests for list type tool results in _events.py path

* Simplify PR: minimal changes to fix MCP tool result serialization

Addresses reviewer feedback about excessive refactoring:
- Reset _events.py to original structure
- Only add import and use serialize_content_result in one location
- All review comments addressed in serialize_content_result():
  - Added isinstance(item.text, str) check
  - Use model_dump(mode="json") to avoid double-serialization
  - Improved docstring with explicit return value documentation
  - Empty list returns "" instead of "[]"

* Refactor: Move MCP TextContent serialization to core prepare_function_call_results

Per reviewer feedback, moved the TextContent serialization logic from
ag-ui's serialize_content_result to the core package's
prepare_function_call_results function.

Changes:
- Added handling for objects with 'text' attribute (like MCP TextContent)
  in _prepare_function_call_results_as_dumpable
- Removed serialize_content_result from ag-ui/_utils.py
- Updated _events.py and _message_adapters.py to use
  prepare_function_call_results from core package
- Updated tests to match the core function's behavior

* Fix failing tests for prepare_function_call_results behavior

- test_tool_result_with_none: Update expected value to 'null' (JSON serialization of None)
- test_tool_result_with_model_dump_objects: Use Pydantic BaseModel instead of plain class

* Fix B903 linter error: Convert MockTextContent to dataclass

The ruff linter was reporting B903 (class could be dataclass or namedtuple)
for the MockTextContent test helper classes. This commit converts them to
dataclasses to satisfy the linter check.

* Python: Improve DevUI, add Context Inspector view as new tab under traces (#2742)

* Improve DevUI, add Context Inspector view as new tab under traces

* fix mypy errors

* fix: Handle stale MCP connections in DevUI executor

MCP tools can become stale when HTTP streaming responses end - the underlying
stdio streams close but `is_connected` remains True. This causes subsequent
requests to fail with `ClosedResourceError`.

Add `_ensure_mcp_connections()` to detect and reconnect stale MCP tools before
agent execution. This is a workaround for an upstream Agent Framework issue
where connection state isn't properly tracked.

Fixes MCP tools failing on second HTTP request in DevUI.

fixes  #1476 #1515 #2865

* fix #1572 report import dependency errors more clearly

* Ensure there is streaming toggle where users can select streaming vs non streaming mode in devui . Fixes .NET: [Python] DevUI tool call rendering in non-streaming mode?

* remove unused dead code

* improve ux - workflows with agents show a chat component in execution timelien, also ensure magentic final output shows correctly

* update ui build

* update devui to use instrumentation instead of tracing, other instrumentation and type/instance check fixes

* .NET: Seal factory contexts and add non JSO deserialize overloads (#3066)

* Seal factory contexts and add non JSO deserialize overloads

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

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* Enable blank issues in issue template configuration

Need to re-enable creating blank issues

* updated templates (#3106)

* updated templates

* enabled blank and fixed triage

* made language optional and moved to the bottom for features

* Python: Streaming sample for azurefunctions (#3057)

* Streaming sample for azurefunctions

* Fixed links and sample name

* Addressed feedback

* Addressed feedback

* Fixed integration tests

* Updated test

* Python: fix(azure-ai): Fix response_format handling for structured outputs (#3114)

* fix(azure-ai): read response_format from chat_options instead of run_options

* refactor: use explicit None checks for response_format

* Fix mypy error

* Mypy fix

* Python: Bump python version to 1.0.0b260107 for a release (#3128)

* Bump python version to 1.0.0b260107 for a release

* Update changelog

* Make A2AAgent public, so that it's concrete implementation methods can be used. (#3119)

* .NET: Map additional props <-> A2A metadata (#3137)

* map additional props from agent run options to a2a request metadata

* small touches

* add unit tests for new extension methods

* Sort using

* add unit test

* add additiona unit tests

* special case json element to avoid unnecessary serialization

* Python: Fix Anthropic streaming response bugs (#3141)

* test commit identity

* fix(anthropic): fix raw_representation and finish_reason in streaming

* lint fix

* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.5 to 4.0.5.1 (#2994)

---
updated-dependencies:
- dependency-name: AWSSDK.Extensions.Bedrock.MEAI
  dependency-version: 4.0.5.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Anthropic from 12.0.0 to 12.0.1 (#2993)

---
updated-dependencies:
- dependency-name: Anthropic
  dependency-version: 12.0.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* .NET: [Breaking] Prevent loss of input messages & streamed updates when resuming streaming (#2748)

* save input messages and stream updates to the continuation token to be able to use them in the last successful stream resumption call.

* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

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* Update dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs

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* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

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* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix typo

* init continuation token from chat response

* remove unnecessary types for source generation

* remove check for continuation token passed at initial run

* remove check for continuation token pass at initial run

* centralize continuation token parsing

* update xml comments

* use readonly collection instead of enumerable

---------

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* .NET: fix: Expose WorkflowErrorEvent as ErrorContent (#2762)

* fix: Expose WorkflowErrorEvent as ErrorContent

When hosted using .AsAgent(), Workflows were not exposing inner errors coming as Exceptions (through the WorkflowErrorEvent)

The fix is to convert their message to an ErrorContent on the way out, rather than rely on the default "empty update" to collect the raw event.

* feat: Add a way to show/suppress exception information

* Bump Microsoft.Agents.AI.Workflows from 1.0.0-preview.251125.1 to 1.0.0-preview.251219.1 (#2997)

---
updated-dependencies:
- dependency-name: Microsoft.Agents.AI.Workflows
  dependency-version: 1.0.0-preview.251219.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
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* .NET: Add Run overloads to expose ChatClientAgentRunOptions in IntelliSense (#3115)

* Initial plan

* Add ChatClientAgentExtensions for improved discoverability of ChatClientAgentRunOptions

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Address code review feedback - use collection expression syntax

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Apply suggestion from @westey-m

* Fix issues with Copilot implementation

* Add additional tests for structured output overloads.

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* Python: Add tool call/result content types and update connectors and samples (#2971)

* Add new AI content types and image tool support

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Add Python content types for tool calls/results and image generation tool support

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Address review feedback for tool content and samples

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* Tighten image generation typing and sample tools list

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* Align image generation output typing

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* Handle MCP naming, image options mapping, and connector tool content

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* Allow MCP call in function approval request

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* Remove raw image_generation tool remapping

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* Restore Anthropic tool_use to function calls unless code execution

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Fix lint issues for hosted file docstring and MCP parsing

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Import ChatResponse types in Anthropic client

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Fix Anthropics citation type imports and MCP typing for handoff/tools

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Skip lightning tests without agentlightning and fix function call import

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* fix lint on lab package

* rebuilt anthropic parsing

* redid anthropic parsing

* typo

* updated parsing and added missing docstrings

* fix tests

* mypy fixes

* second mypy fix

* add new class to other samples

---------

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* Bump Google.GenAI from 0.6.0 to 0.9.0 (#2995)

---
updated-dependencies:
- dependency-name: Google.GenAI
  dependency-version: 0.9.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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* Bump js-yaml from 4.1.0 to 4.1.1 in /python/packages/devui/frontend (#3123)

Bumps [js-yaml](https://github.com/nodeca/js-yaml) from 4.1.0 to 4.1.1.
- [Changelog](https://github.com/nodeca/js-yaml/blob/master/CHANGELOG.md)
- [Commits](https://github.com/nodeca/js-yaml/compare/4.1.0...4.1.1)

---
updated-dependencies:
- dependency-name: js-yaml
  dependency-version: 4.1.1
  dependency-type: indirect
...

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* Updated package versions (#3144)

* .NET: Bump Microsoft.Agents.AI.OpenAI and Microsoft.Extensions.AI.OpenAI (#2996)

* Bump Microsoft.Agents.AI.OpenAI and Microsoft.Extensions.AI.OpenAI

Bumps Microsoft.Agents.AI.OpenAI from 1.0.0-preview.251125.1 to 1.0.0-preview.251219.1
Bumps Microsoft.Extensions.AI.OpenAI from 10.1.0-preview.1.25608.1 to 10.1.1-preview.1.25612.2

---
updated-dependencies:
- dependency-name: Microsoft.Agents.AI.OpenAI
  dependency-version: 1.0.0-preview.251219.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Extensions.AI.OpenAI
  dependency-version: 10.1.1-preview.1.25612.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Agents.AI.OpenAI
  dependency-version: 1.0.0-preview.251219.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Extensions.AI.OpenAI
  dependency-version: 10.1.1-preview.1.25612.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Fixed samples

---------

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* Python: fix(ag-ui): Execute tools with approval_mode, fix shared state, code cleanup  (#3079)

* fix(ag-ui): execute tools after approval in human-in-the-loop flow

* Fix shared state bug

* Bug fix finalized

* Refactoring to clean up code

* Code cleanup

* More fixes

* More code cleanup

* Add version detection in __init__.py to ruff ignore list

* Track agent name with updates for workflow agent (#3146)

* Python: Fix AzureAIClient tool call bug for AG-UI use (#3148)

* Fiz AzureAIClient tool call bug

* Address copilot feedback

* Python: multiple bug fixes (#3150)

* fix Python: kwargs are not passed to _prepare_thread_and_messages in ChatAgent.run
Fixes #3118

* fix Python: [Bug]: model_id versus model_deployment_name is confusing in Azure AI Agents
Fixes #3147

* add types

* fixed type and docstring

* fix(anthropic): fix duplicate ToolCallStartEvent in streaming tool calls (#3051)

When processing `input_json_delta` events, the Anthropic client was
passing the tool name from the previous `tool_use` event. This caused
ag-ui's `_handle_function_call_content` to emit a `ToolCallStartEvent`
for every streaming chunk (since it triggers on `if content.name:`).

This fix changes the behavior to pass an empty string for `name` in
`input_json_delta` events, matching OpenAI's behavior where streaming
argument chunks have `name=""`. The initial `tool_use` event still
provides the tool name, so only one `ToolCallStartEvent` is emitted.

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>

* .NET: [BREAKING] Change GetNewThread and DeserializeThread to async (#3152)

* Change GetNewThread and DeserializeThread plus ChatMessageStore and AIContextProvider Factories to async

* Merge fixes

* Fix Ollama model env var in documentation (#3156)

Signed-off-by: Dina Suehiro Jones <dina.s.jones@intel.com>

* Python: Add Pydantic request model and OpenAPI tags support to AG-UI FastAPI endpoint (#2522)

* feat(ag-ui): Add Pydantic request model and OpenAPI tags support

- Add AGUIRequest Pydantic model in _types.py with field descriptions
- Update add_agent_framework_fastapi_endpoint() to accept tags parameter
- Use AGUIRequest model for automatic validation and OpenAPI schema generation
- Export AGUIRequest and DEFAULT_TAGS in __init__.py
- Update test_endpoint.py to expect 422 for invalid requests
- Add tests for OpenAPI schema, default tags, custom tags, and validation

Benefits:
- Better API documentation with complete request schema in Swagger UI
- Automatic request validation with Pydantic
- Organized endpoints under 'AG-UI' tag instead of 'default'
- Improved developer experience and type safety

Fixes #<issue-number>

* test(ag-ui): Add test for internal error handling to achieve 100% coverage

- Add test_endpoint_internal_error_handling() to cover exception handling code
- Mock copy.deepcopy to simulate internal error during default_state processing
- Add type: ignore for FastAPI tags parameter (known pyright compatibility issue)
- Achieves 100% test coverage for _endpoint.py (previously missing lines 103-105)

* .NET: Improve resolving `AITool` from DI (#3175)

* remove localagenttoolregistry

* also give the factory method API

* Python: Fix MCPStreamableHTTPTool to use new streamable_http_client API (#3088)

* Fix MCPStreamableHTTPTool to use new streamable_http_client API with proper httpx client cleanup

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* Update docstring to reflect new streamable_http_client API usage

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* Refactor MCPStreamableHTTPTool to accept optional http_client parameter and delegate client creation to streamable_http_client

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* Update mcp package minimum version to 1.24.0 for streamable_http_client API support

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* Fix critical bugs: apply headers/timeout/sse_read_timeout when creating httpx client, add version constraint <2, and properly manage client lifecycle

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* Simplify implementation: remove headers/timeout/sse_read_timeout params, remove kwargs, remove close() override per feedback

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* Add back **kwargs parameter for backward compatibility (accepted but not used)

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* Remove unused httpx import from test file

Note: The uv.lock file needs to be updated with 'uv sync' to reflect the mcp version constraint change (>=1.24.0,<2)

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* cicd fixes

* udpated samples with headers examples

---------

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* azureai direct a2a endpoint support (#3127)

* Python: [BREAKING]: removed display_name, renamed context_providers, middleware and AggregateContextProvider (#3139)

* removed display_name, renamed context_providers, middleware and AggregateContextProvider

* fixes

* fixed test

* testfix

* removed mistakenly put back test

* updated new test

* rename middlewares to middleware

* middleware fixes

* Python: MCP Improvements: improved connection loss behavior, pagination for loading and a param to control representation (#3154)

* pagination support (#2848) added a parse_tool_result param and connection loss (#2884)

* fix #3153

* improved connection handling

* improved logic

* Python: Add declarative workflow runtime (#2815)

* Further support for declarative python workflows

* Add tests. Clean up for typing and formatting

* Improvements and cleanup

* Typing cleanup. Improve docstrings

* Proper code in docstrings

* Fix malformed code-block directive in docstring

* Remove dead links

* PR feedback

* Address PR feedback

* Address PR feedback

* Remove sl

* Update devui frontend

* More cleanup

* Fix uv lock

* Skip Py 3.14 tests as powerfx doesn't support it

* Fix mypy error

* Fix for tool calls

* Removed stale docstring

* Fix lint

* Standardize on .NET namespaces. Revert DevUI changes (bring in later)

* Implement remaining items for Python declarative support to match dotnet

* point URL to agent, not to agentcard (#3176)

* Python: [BREAKING]: Introducing Options as TypedDict and Generic (#3140)

* WIP typeddict for options

* updated all clients and ChatAgents

* updated everything

* added ADR

* fix mypy

* proper typevar imports

* fixed import

* fixed other imports

* slight update in the sample

* updated from feedback

* fixes

* fixed missing covariants and test fixes

* fixed typing

* updated anthropic thinking config

* ruff fixes

* fixed int tests

* fix tests and mypy

* updated integration tests

* updated docstring and test fix

* improved options handling in obser

* mypy fix

* updated a host of integration tests

* fix tests

* bedrock fix

* [BREAKING] Python: Refactor orchestrations (#3023)

* Group chat refactoring Part 1; Next: HIL and handoff

* Add agent approval flow; next samples

* WIP: samples

* WIP: HIL samples

* Group chat HIL working; next: handoff

* Fix group chat tool approval sample

* WIP: refactor handoff; next handoff handling

* Handoff done; next handoff samples and concurrent and sequential

* Handoff samples, concurrent, and sequential done; next Magentic

* WIP: magentic; next test with samples + HIL

* Magentic Working; next fix all samples and tests

* Fix handoff samples; next tests

* WIP: fixing tests; some orchestration as agent samples are failing

* Group chat unit tests done

* Handoff  unit tests done

* Remove old orchestration_request_info and fix related tests

* Magentic unit tests done

* Fix samples

* Fix test

* Fix test 2

* mypy

* Address comments

* Update readme

* Address comments

* Address comments 2

* Replace display name

* Python: ADR for create/get agent API (#2618)

* ADR for create/get agent API

* Updated ADR with implementation options

* Small updates

* Updated decision outcome section

* Updated broken links

* Small updates

* Fixed merge conflicts

* Small fix

* Updated decision outcome section

* Small fixes

* Updated provider naming based on client SDK

* Add ignored parameter for CodeQL in workflow (#3204)

* Implement IReadOnlyList on InMemoryChatMessageStore (#3205)

* .NET: Make ChatMessageStore and AIContextProvider context props settable (#3196)

* Make ChatMessageStore and AIContextProvider context props setable

* Add validation to preserve non-null requirement of certain properties.

* Fix broken tests.

* Python: Add dependencies param to ag-ui FastAPI endpoint (#3191)

* Add dependencies param to ag-ui FastAPI endpoint

* Address Copilot feedback

* renamed all (#3207)

* Python: ADR for simplified get response (#3098)

* ADR for simplified get response

* updated some language, added agent option and code comparison

* small update in sample

* added workflows and expanded some points

* changed decision and number

* updated with stream=False default

* .NET: [Breaking] Rename`AgentRunResponse` and `AgentRunResponseUpdate` classes (#3197)

* rename AgentRunResponse and AgentRunResponseUpdate classes - part1

* rename varialbles, parameters, methods and tests

* rollback unnecessary changes

* .NET: [Breaking] Rename AgentRunResponseEvent and AgentRunUpdateEvent classes (#3214)

* rename AgentRunResponseEvent and AgentRunUpdateEvent classes

* rollback unnecessary changes

* Python: Create/Get Agent API for Azure V2 (#3059)

* Added get_agent method to Azure AI V2

* Small fixes

* Small fix

* Removed AzureAIAgentProvider

* Added create_agent method

* Small fixes

* Fixed code interpreter tool mapping

* Added agent provider for V2 client

* Updated response format handling

* Added provider example

* Fixed errors

* Update python/samples/getting_started/agents/azure_ai/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Small fix

* Updates from merge

* Resolved comments

* Resolved comments

---------

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* Python: Add more specific exceptions to Workflow (#3188)

* Add more specifc workflow exceptions

* Fix tests

* AI comments

* Misc

* Python: Added AzureAI sample for downloading code interpreter generated files (#3189)

* added azure ai code interpreter file download sample

* copilot fix suggestions

* function name fixes + readme update

* small fix

* update package versions (#3223)

Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>

* Python: fix(core): correct FunctionResultContent ordering in WorkflowAgent.merge_updates (#3168)

* fix(core): simplify FunctionResultContent ordering in WorkflowAgent.merge_updates

* improve comment

* Fix name

* fix(workflows): rename WorkflowOutputEvent.source_executor_id to executor_id for API consistency (#3166)

* Python: fix(ag-ui): add MCP tool support for AG-UI approval flows (#3212)

* add MCP tool support for AG-UI approval flows

* use attribute in place of property

* Python: Properly configure structured outputs based on new options dict (#3213)

* Properly configure structured outputs based on new options dict

* Fix mypy

* .NET: Merge AgentRunOptions.AdditionalProperties into ChatOptions.AdditionalProperties (#3184)

* Merge AgentRunOptions.AdditionalProperties into ChatOptions.AdditionalProperties

* Fix namespace and typo.

* .NET: Update Google.GenAI to 0.11.0 and remove polyfill implementations (#3232)

* Initial plan

* Update Google.GenAI to 0.11.0 and remove polyfill files

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

---------

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* .NET: [BREAKING] Renamed CreateAIAgent/GetAIAgent to AsAIAgent (#3222)

* Renamed chat client extension method

* Additional renaming

* Updated documentation

* Fixed tests

* Small fix

* Small fix

* Updated DurableAIAgent and fixed integration tests (#3241)

* Python: Create/Get Agent API for Azure V1 (#3192)

* Added provider implementation for Azure AI V1

* Small fixes

* Fixed OpenAPI example

* Fixed local MCP example

* Fixed hosted MCP example

* Fixed file search sample

* Small fixes

* Resolved comments

* Doc updates

* Bump azure-core from 1.37.0 to 1.38.0 in /python (#3209)

Bumps [azure-core](https://github.com/Azure/azure-sdk-for-python) from 1.37.0 to 1.38.0.
- [Release notes](https://github.com/Azure/azure-sdk-for-python/releases)
- [Commits](https://github.com/Azure/azure-sdk-for-python/compare/azure-core_1.37.0...azure-core_1.38.0)

---
updated-dependencies:
- dependency-name: azure-core
  dependency-version: 1.38.0
  dependency-type: indirect
...

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* Python: Create/Get Agent API for OpenAI Assistants (#3208)

* Added provider implementation

* Added example with response format

* Small improvements

* Python: (AG-UI) Support service-managed thread on AG-UI  (#3136)

* added service thread support

* set service_thread_id to only supplied_thread_id

* uses raw_representation to extract the conversation_id

* removed accidental edit

* updated test to use raw_representation

* resolves copilot review feedback

* revert back StubAgent, since not used

* removed relative module import

* removed hasattr check per PR feedback

* Create/Get Agent API - fixes and example improvements (#3246)

* .NET Purview Middleware: Improve Background Job Runner Injection (#3256)

* Clean up background job dependency injection

* Fix xml documentation grammar

* Python: [BREAKING] Renamed create_agent to as_agent (#3249)

* Renamed create_agent to as_agent

* Override for as_agent

* Added override

* Python: Update package version (#3258)

* package version 260116

* removed name tags

* Python: Fixed Azure chat client for asynchronous filtering (#3260)

* Fixed Azure chat client for asynchronous filtering

* Updated test

* Python: Fixed use_agent_middleware calling private _normalize_messages (#3264)

* Fix use_agent_middleware calling private _normalize_messages

* Fixed A2A and Copilot Studio agent

* Python: Added rai_config to Azure AI agent creation (#3265)

* Add kwargs to create_agent method

* Added test for kwargs

* Addressed comment

* Added doc string

* Python: Filter conversation_id when passing kwargs to agent as tool (#3266)

* Filter conversation_id when passing kwargs to agent as tool

* Small fix

* Update python/samples/getting_started/agents/azure_ai/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/samples/getting_started/agents/openai/openai_responses_client_with_agent_as_tool.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/samples/getting_started/agents/azure_ai/azure_ai_with_agent_as_tool.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

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* Bump actions/setup-dotnet from 5.0.1 to 5.1.0 (#3273)

Bumps [actions/setup-dotnet](https://github.com/actions/setup-dotnet) from 5.0.1 to 5.1.0.
- [Release notes](https://github.com/actions/setup-dotnet/releases)
- [Commits](https://github.com/actions/setup-dotnet/compare/v5.0.1...v5.1.0)

---
updated-dependencies:
- dependency-name: actions/setup-dotnet
  dependency-version: 5.1.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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* Update ignored checks in merge-gatekeeper workflow

* Python: [BREAKING] Make response_format validation errors visible to users (#3274)

* Make response_format validation errors visible to users

* Small fix

* Addressed comments

* Python: fix(declarative): Fix MCP tool connection not passed from YAML to Azure AI agent creation API (#3248)

* fix(declarative): Fix MCP tool connection not passed from YAML

* Add samples to README

* Fix mypy

* Fix mypy again

* Address PR comments

* fix #3171, ensure proper form rendering for int (#3201)

* Bump uv from 0.9.25 to 0.9.26 in /python (#3288)

Bumps [uv](https://github.com/astral-sh/uv) from 0.9.25 to 0.9.26.
- [Release notes](https://github.com/astral-sh/uv/releases)
- [Changelog](https://github.com/astral-sh/uv/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/uv/compare/0.9.25...0.9.26)

---
updated-dependencies:
- dependency-name: uv
  dependency-version: 0.9.26
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

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* Bump ruff from 0.14.11 to 0.14.13 in /python (#3287)

Bumps [ruff](https://github.com/astral-sh/ruff) from 0.14.11 to 0.14.13.
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/ruff/compare/0.14.11...0.14.13)

---
updated-dependencies:
- dependency-name: ruff
  dependency-version: 0.14.13
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

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* Bump tar from 7.4.3 to 7.5.3 in /python/packages/devui/frontend (#3267)

Bumps [tar](https://github.com/isaacs/node-tar) from 7.4.3 to 7.5.3.
- [Release notes](https://github.com/isaacs/node-tar/releases)
- [Changelog](https://github.com/isaacs/node-tar/blob/main/CHANGELOG.md)
- [Commits](https://github.com/isaacs/node-tar/compare/v7.4.3...v7.5.3)

---
updated-dependencies:
- dependency-name: tar
  dependency-version: 7.5.3
  dependency-type: indirect
...

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* .NET: Delete sync extension methods for agent (#3291)

* Delete sync extension methods for agent

* Fix comments and obsolete attribute

* Remove more sync methods.

* Fix naming and comments.

* Fix unit tests

* Python: Fix: Add system_instructions to ChatClient LLM span tracing (#3164)

* Fix: Add system_instructions to ChatClient LLM span tracing

- Add system_instructions parameter to _capture_messages() calls in
  _trace_get_response() and _trace_get_streaming_response()
- Extract instructions from chat_options in kwargs
- Add unit tests to verify system_instructions are captured correctly

When using ChatClient with ChatOptions.instructions, the OpenTelemetry
LLM span was missing system messages in gen_ai.input.messages and the
gen_ai.system_instructions attribute was not being set.

This fix aligns the ChatClient-level tracing with the Agent-level
tracing which already correctly passes system_instructions.

Fixes #3163

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* Add edge case tests for system_instructions

- Add test for empty string instructions (should not set attribute)
- Add test for list-type instructions (verify multiple items captured)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* Simplify: use options.get('instructions') directly instead of kwargs.get('chat_options')

Addresses reviewer feedback:
- Removed unnecessary chat_options variable from kwargs
- Directly access instructions from the options parameter
- Updated tests to use dict syntax for options (TypedDict convention)

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>

* Improve PR number handling in workflow (#3302)

* Improve PR number handling in workflow

Refine PR number extraction and validation method.

* Update .github/workflows/python-test-coverage-report.yml

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Fix error message for invalid PR number

---------

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* .NET: Update Microsoft.Extensions.AI.* packages to 10.2.0 (#3211)

* Initial plan

* Update Microsoft.Extensions.AI.* to 10.2.0 and fix timestamp behavior tests

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

---------

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* .NET: Pass AdditionalProperties from parent to child when exposing an agent as a FunctionTool (#3219)

* Pass AdditionalProperties from parent to child when exposing an agent as a FunctionTool

* Rename variable to improve readability.

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Python: [Breaking] Simplified Content types to a single class with classmethod constructors. (#3252)

* ported Content to a new model

* fixed linting

* fixes

* fixed data format handling

* fix for 3.10 mypy

* fix

* fix int test

* .NET: Durable Agent samples and automated validation for non-Azure Functions (#3042)

* Durable Agent samples and automated validation for non-Azure Functions

* Update test projects

* fix file encoding

* Remove AgentThreadMetadata usage

* Absorb breaking change from #3152

* Absorb newer breaking changes (AgentRunResponse --> AgentResponse)

* Absorb more breaking changes (see #3222)

* Improve integration test reliability (isolated task hubs, etc.)

* Fix flakey streaming test

---------

Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com>

* Python: fix(core): handle anyio cancel scope errors during MCP connection cleanup (#3277)

* fix(core): handle anyio cancel scope errors during MCP connection cleanup

* Address Copilot feedback

* Python: fix(ag-ui): properly handle json serialize with handoff workflows as agent (#3275)

* fix(ag-ui): properly handle json serialize with handoff workflows as agent

* Other improvements around handling non-serializable objects

* Bump tomli from 2.3.0 to 2.4.0 in /python (#3182)

Bumps [tomli](https://github.com/hukkin/tomli) from 2.3.0 to 2.4.0.
- [Changelog](https://github.com/hukkin/tomli/blob/master/CHANGELOG.md)
- [Commits](https://github.com/hukkin/tomli/compare/2.3.0...2.4.0)

---
updated-dependencies:
- dependency-name: tomli
  dependency-version: 2.4.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

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* .Net: Fix DebuggerDisplay attribute to reference existing property (#3326)

* Initial plan

* Fix DebuggerDisplay attribute to use Name instead of DisplayName

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

---------

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* .NET: Add sample to show multiple AIContextProvider usage (#3284)

* Add sample to show multiple AIContextProvider usage

* Update comment.

* Update messaging in README.

* Address PR comments.

---------

Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com>

* .NET: Update Conversation Sample to use Conversation Id instead (#3180)

* Update Conversation Sample to use conversation Id instead

* Remove Run infix

* Remove the sync GetAIAgent from sample

* Python: Fix local MCP tools with `AzureAIProjectAgentProvider` (#3315)

* azureai v2 local mcp fix

* addressed copilot comments

* .NET: Improve readme for agents V2 (#3285)

* Improve readme for agents V2

* Architectural justification

* Update dotnet/samples/GettingStarted/FoundryAgents/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

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* Bump pyasn1 from 0.6.1 to 0.6.2 in /python (#3257)

Bumps [pyasn1](https://github.com/pyasn1/pyasn1) from 0.6.1 to 0.6.2.
- [Release notes](https://github.com/pyasn1/pyasn1/releases)
- [Changelog](https://github.com/pyasn1/pyasn1/blob/main/CHANGES.rst)
- [Commits](https://github.com/pyasn1/pyasn1/compare/v0.6.1...v0.6.2)

---
updated-dependencies:
- dependency-name: pyasn1
  dependency-version: 0.6.2
  dependency-type: indirect
...

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* .NET: Fix DebuggerDisplay attribute in AIAgent.cs to reference existing properties (#2985)

* Initial plan

* Fix DebuggerDisplay attribute in AIAgent.cs to reference existing properties

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

---------

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* Python: feat(anthropic): Add response_format support for structured outputs (#3301)

* fix(anthropic): Add response_format support for structured outputs

* only use from options

* use native way of response format

* ruff lint fix

* address comment; handle dict

* Updated package versions (#3335)

* Set min version of dependent azure-ai-projects to 2.0.0b3 (#3347)

* Adding feature collections ADR (#3332)

* .NET: [Breaking] Allow passing auth token credential to cosmosdb extensions (#3250)

* allow passing token credentials to cosmosdb extensions

* Update dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosDBWorkflowExtensions.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosDBWorkflowExtensions.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosDBChatExtensions.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

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* fix: Subworkflows do not work well with HostAsAgent (#3240)

Subworkflows run into issues with Checkpointing and the Chat Protocol:

* The concurrency rework made subtle changes in behaviour that introduced a hang when using subworkflows with ChatProtocol and streaming execution.
* The ResetAsync() implementation in WorkflowHostExecutor was improperly resetting the joinContext - this was happening on restore checkpoint _after_ the join context was attached when
* Subworkflows cannot be used as the start node when hosted AsAgent due to inability to treat Catch-All as a Chat Protocol
* Subworkflow ownership issue when used in non-concurrent mode after finishing a run

Also fixes:
* When ChatMessages are output by executors that are not agents, there is no corresponding AgentResponseUpdate/AgentResponse event

Breaking Changes
* [BREAKING CHANGE] It is possible to provide the wrong RunId when resuming from CheckpointInfo (even though the data already exists on CheckpointInfo)

* Python: .NET: Executor source gen for workflow executor routing (#3131)

* Roslyn Source Generators for Workflow Executor Routing.

* Update dotnet/src/Microsoft.Agents.AI.Workflows.Generators/ExecutorRouteGenerator.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* WIP.

* All fixed up except dangling sends/yields attriutes, working on that next.

* Add protocol-only generation for SendsMessage/YieldsOutput attributes

* Ensuring collections that can change order are sorted to enable pipeline caching.

* Improvents per PR feedback.

---------

Co-authored-by: alliscode <bentho@microsoft.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* .NET: Joslat fix sample issue (#3270)

* adds support for labels in edges,  fixes rendering of labels in dot and mermaid, adds rendering of labels in edges

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* escaping edge labels, adding tests for labels containing strange characters that would break the diagram and enabling the previous signature so the API has backwards compatibility.

* Unify label in EdgeData

* Edge API adjustments, removed useless "sanitizer"

* fixed test

* Fix in Sample

* update

---------

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Co-authored-by: Jacob Alber <jaalber@microsoft.com>
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>

* .NET: Improve unit test coverage for Microsoft.Agents.AI.OpenAI (#3349)

* Initial plan

* Add unit tests for Microsoft.Agents.AI.OpenAI to improve code coverage

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Address code review feedback: remove unused using directives

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Fix format issues: file encoding and remove unused using directives

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Fix redundant cast error by using named parameter

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Remove excessive inline comments per PR review feedback

---------

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* Revert to main

* Python: Fix: Verify types during checkpoint deserialization to prevent marker spoofing (#3243)

* Initial plan

* Add validation for reserved keywords in checkpoint encoding/decoding

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Refactor to eliminate duplicate code in model protocol detection

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Fix pyright type narrowing issue for dataclass check

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Add comprehensive unit tests for checkpoint encoding

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Remove serialization-time reserved keyword validation to fix failing tests

The serialization-time validation was too aggressive and blocked legitimate use cases
where encoded data was being re-encoded. Security is now enforced only at deserialization
time by validating that classes marked with DATACLASS_MARKER are actual dataclasses and
classes marked with MODEL_MARKER actually support the model protocol.

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Apply ruff formatting to checkpoint encoding file

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Changes before error encountered

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Revert "Changes before error encountered"

This reverts commit f515b880dc4dd5960202f36319ceed51b9a85bc2.

---------

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Co-authored-by: Tao Chen <taochen@microsoft.com>

* Python: Fix azurefunctions MCP tool invocation to use correct agent  (#3339)

* MCP tool fix for azurefunctions

* Moving logic to check for thread id

* Adding ReflectExecutors method to Workflow. (#3389)

* Fix merge conflicts

* Python: [BREAKING] simplify ag-ui run logic, fix mcp bugs, fix anthropic client issues in ag-ui (#3322)

* Refactor ag-ui to simplify flow

* Refactoring

* Fix backend tool

* Update tests

* Improvements

* Fix mypy

* Fixes

* Fix json serialize errors

* Python: fix(core): filter out internal args when passing kwargs to MCP tools (#3292)

* fix(core): filter conversation_id when passing kwargs to MCP tools

* Filter out options too

* Fix uv.lock conflict

* Python: Added tests for OpenAI content types + Unit test improvement (#3259)

* added tests for content types+ unit test improvement

* small fixes

* small fix

* Python: Prefer runtime `kwargs` for `conversation_id` in OpenAI Responses client (#3312)

* prefer kwargs conversation_id over options

* addressed comments

* Python: Azure AI mapping HostedImageGenerationTool to ImageGenTool (#3263)

* azureai image gen sample fix

* mypy fixes

* addressed comments + mapping updates

* image model fix

* content type fix

* Python: add(azure-ai): support reasoning config for AzureAIClient (#3403)

* add(azure-ai): support reasoning config for AzureAIClient

* Update sample

* Merge main

* improvements

* improve sample

* .NET: Allow overriding the ChatMessageStore to be used per agent run. (#3330)

* Allow overriding the ChatMessageStore to be used per agent run.

* Fix typos

* Fix Add and add TryAdd, Contains and Remove

* Update instructions to require automatically building and formatting (#3412)

* .NET: Rename ChatMessageStore to ChatHistoryProvider (#3375)

* Rename ChatMessageStore to ChatHistoryProvider

* Fix merge issue

* Fixed PR comments

* Fix tests after property rename

* Add unit tests and fix merge issues

* Fix encoding

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2026-01-23 10:31:54 -08:00
Laveesh Rohra ff839435a2 Fix imports for durabletask (#3345) 2026-01-21 14:38:37 -08:00
Laveesh Rohra e032133748 Python: Add integration tests for durabletask package (#3317)
* Add integration tests

* Fix flaky test

* Fix env viz

* Fix tests and address feedback
2026-01-21 14:31:24 -08:00
Laveesh Rohra cd77193742 Python: Merge main into feature-durabletask-python branch (#3261)
* Python: Add factory pattern to concurrent orchestration builder (#2738)

* Add factory pattern to concurrent orchestration builder

* Update readme

* Address AI comments

* Fix unit tests

* Fix import

* Prevent multiple calls to set participants or factories

* Add comments

* Mitigate warnings

* Fix mypy

* Address comments

* Address Copilot comments

* Fix tests

* Python: fix: GroupChat ManagerSelectionResponse JSON Schema for OpenAI Structured Outpu… (#2750)

* fix: ManagerSelectionResponse JSON Schema for OpenAI Structured Output Strict Mode

* refactor: install pre-commit then commit again

* Capture file IDs from code interpreter in streaming responses (#2741)

* .NET: [BREAKING] Prevent nulls in AIAgent property (#2719)

* prevent nulls in AIAgent property

* address feedback

* code ql sm04598 (#2723)

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* .NET: Add Conversation State Sample (Step05) (#2697)

* Initial plan

* Add Agent_OpenAI_Step05_Conversation sample for conversation state management

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* Update Program.cs comment to accurately describe the sample

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* Update the code to use the ConversationClient more in line with the samples in OpenAI

* Apply suggestions from code review

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* Changing sample to use ChatClientAgent and conversationId in GetNewThread

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* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.7 to 4.0.4.11 (#2777)

---
updated-dependencies:
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  dependency-version: 4.0.4.11
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.Identity from 1.17.0 to 1.17.1 (#2780)

---
updated-dependencies:
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2778)

---
updated-dependencies:
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Python: added more complete parsing for mcp tool arguments (#2756)

* added more complete parsing for mcp tool arguments

* fixed mypy

* added nonlocal model counter, and some fixes

* fixes in naming logic

* extracted json parsing function, added parametrized test and checked coverage

* Python: Updated package versions (#2784)

* Updated package versions

* Small fix

* Bump actions/checkout from 5 to 6 (#2404)

Bumps [actions/checkout](https://github.com/actions/checkout) from 5 to 6.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v5...v6)

---
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  update-type: version-update:semver-major
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* .NET: adds support for labels in edges,  fixes rendering of labels in dot a… (#1507)

* adds support for labels in edges,  fixes rendering of labels in dot and mermaid, adds rendering of labels in edges

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs

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* escaping edge labels, adding tests for labels containing strange characters that would break the diagram and enabling the previous signature so the API has backwards compatibility.

* Unify label in EdgeData

* Edge API adjustments, removed useless "sanitizer"

* fixed test

---------

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* Python: Added custom args and thread object to ai_function kwargs (#2769)

* Added an example of using kwargs in ai_function

* Added thread object to ai_function kwargs

* Updated docs

* Small fix

* Added thread parameter filtering

* Fix WorkflowAgent to include thread convo history. Enable checkpointing. (#2774)

* Update OpenAIResponses.yaml to match AgentSchema (#2598)

1. Update `connection` child types --  `kind: ApiKey` to `kind: key` otherwise schema will fail: https://microsoft.github.io/AgentSchema/reference/apikeyconnection/

2.  Update `outputSchema`'s `PropertySchema` to be `kind` instead of `type` otherwise schema will fail: https://microsoft.github.io/AgentSchema/reference/propertyschema/

* Python: Remove warnings from workflow builder on not using factories (#2808)

* Revert concurrent

* Fix comments

* Python: Filter framework kwargs from MCP tool invocations (#2870)

* Filter framework kwargs from MCP tool invocations

* Fixes

* Python: Fix WorkflowAgent to emit yield_output as agent response (#2866)

* Fix WorkflowAgent to emit yield_output as agent response

* use raw_representation

* Raw representation handling

* Python: Use agent description in HandoffBuilder auto-generated tools (#2713) (#2714)

## Summary
Enhanced `HandoffBuilder._apply_auto_tools` to use the target agent's
description when creating handoff tools, providing more informative tool
descriptions for LLMs.

## Changes
- Modified `_apply_auto_tools` to extract `description` from
  `AgentExecutor._agent` when available
- Updated iteration to use `.items()` for more efficient dict traversal
- Handoff tools now use agent descriptions instead of generic placeholders

## Example
Before: "Handoff to the refund_agent agent."
After: "You handle refund requests. Ask for order details and process refunds."

## Testing
- All handoff tests pass (20/20)
- No breaking changes to existing API

Fixes #2713

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* Python: [BREAKING] Observability updates (#2782)

* fixes Python: Add env_file_path parameter to setup_observability() similar to AzureOpenAIChatClient
Fixes #2186

* WIP on updates using configure_azure_monitor

* improved setup and clarity

* fixed root .env.example

* revert changes

* updated files

* updated sample

* updated zero code

* test fixes and fixed links

* fix devui

* removed planning docs

* added enable method and updated readme and samples

* clarified docstring

* add return annotation

* updated naming

* update capatilized version

* updated readme and some fixes

* updated decorator name inline with the rest

* feedback from comments addressed

* Python: Fix middleware terminate flag to exit function calling loop immediately (#2868)

* Fix middleware terminate flag to exit function calling loop immediately

* Eliminating duck typing

* Improve function exec result handling

* Fix race condition

* Fix mypy issues

* Python: Fix context duplication in handoff workflows when restoring from checkpoint (#2867)

* Fix context duplication in handoff workflows when restoring from checkpoint

* Address Copilot PR review

* .NET: Update to latest Azure.AI.*, OpenAI, and M.E.AI* (#2850)

* Update to latest Azure.AI.*, OpenAI, and M.E.AI*

Absorb breaking changes in Responses surface area

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs

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* Using patch to remove the model is necessary, updated the response client to actually use the the ForAgent

---------

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* Bump actions/download-artifact from 6 to 7 (#2862)

Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 6 to 7.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v6...v7)

---
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  dependency-version: '7'
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  update-type: version-update:semver-major
...

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* Bump actions/cache from 4 to 5 (#2861)

Bumps [actions/cache](https://github.com/actions/cache) from 4 to 5.
- [Release notes](https://github.com/actions/cache/releases)
- [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md)
- [Commits](https://github.com/actions/cache/compare/v4...v5)

---
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- dependency-name: actions/cache
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Bump actions/upload-artifact from 5 to 6 (#2860)

Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 5 to 6.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v5...v6)

---
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- dependency-name: actions/upload-artifact
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Python : Ollama Connector for Agent Framework (#1104)

* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

* remove"opentelemetry-semantic-conventions-ai ~=0.4.13" since its handled in a different pr

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

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* Update python/packages/ollama/pyproject.toml

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* Update python/packages/ollama/tests/test_ollama_chat_client.py

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* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

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* Improved Docstrings & Sample

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

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* Integrate PR Feedback
- Divided Streaming and Non-Streaming into independent Methods
- Catch Ollama Validation Error
- Add OTEL Provider Name
- Checked Ollama Messages
- Add Usage Statistics

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

* Update python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py

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* Integrated Copilot Feedback

* Implement first PR Feedback

* Adjust Readme files for examples

* Adjust argument passing via additional chat options

* Implemented PR Feedback

* Removing Ollama Package from Core and moving samples

* Fix Link & Adding Samples to Main Sample Readme

* Fixing Links in Readme

* Moved Multimodal and Chat Example

* Fixed Link in ChatClient to Ollama

* Fix AgentFramework Links in Ollama Project

* Fix observability breaking change

---------

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* Skip failing IT (#2904)

* .NET: Cosmos DB UT Fast Skip (For Non-Configured Local envs) (#2906)

* Cosmos DB UT Fast Skip (Non-Configured Local envs) + Long running UT skip in pipeline when no CosmosDB changes happened

* Force a CosmosDB source code change to trigger the pipeline

* Address possible string boolean mismatch

* Add debug

* Enabling emulator always when running IT

* .NET: Add TTLs to durable agent sessions (#2679)

* .NET: Add TTLs to durable agent sessions

* Remove unnecessary async

* PR feedback: clarify UTC

* PR feedback: limit minimum signal delay to <= 5 minutes

* PR feedback: Fix TTL disablement

* Linter: use auto-property

* Fix build break from OpenAI SDK change

* Updated CHANGELOG.md

* PR feedback

* Reduce default TTL to 14 days to work around DTS bug

* Python:  Update Mem0Provider to use v2 search API `filters` parameter (#2766)

* short fix to move id parameters to filters object

* added tests

* small fix

* mem0 dependency update

* Updated package versions (#2913)

* .NET: Switch to new "Run" method name. (#2843)

* Switch to new "RunAgent" method name.

* Try to disable false positive naming warning.

* Add comment about disabled warnings.

* Rename `RunAgent` to just `Run`.

* Update CHANGELOG.

* Python: Switch to new "run" method name. (#2890)

* Switch to `run` method.

* Add support for deprecated `run_agent`.

* Fix entity method name.

* Fix method name and improve tests.

* Update comment.

* Update Python CHANGELOG.

* [BREAKING] Python: Add factory pattern to handoff orchestration builder (#2844)

* WIP: Factory pattern to handoff

* Add factory pattern to concurrent orchestration builder; Next: tests and sample verification

* Add tests and improve comments

* Fix mypy

* Simplify handoff_simple.py

* Simplify handoff_autonoumous.py and bug fix

* Update readme

* Address Copilot comments

* Python: Flow custom kwargs to agents via Workflow SharedState (#2894)

* Flow custom kwargs to agents via SharedState

* Address Copilot feedback

* Improve sample typing

* Fix test

* Fix Pydantic error when using Literal type for tool params (#2893)

* Updated Ollama package version (#2920)

* Python: Azure AI Agent with Bing Grounding Citations Sample (#2892)

* bing grounding sample with citations

* small fix

* fix

* .NET: Make DelegatingAIAgent abstract (#2797)

* Initial plan

* Make DelegatingAIAgent abstract

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---------

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* Added additional arguments for Azure AI agent (#2922)

* Python: Correction of MCP image type conversion in  _mcp.py (#2901)

* Correction of MCP image type conversion in  _mcp.py

* Added a new overload to the init function of the DataContent() type of the Agent Framework, edited the test case to correctly test the usage of the data and uri fields while using DataContent()

* Fixed tests related to the changes of the DataContent type, added testing for both string and byte representations

* Pass kwargs into subworkflows (#2923)

* Python: Move ollama samples to samples getting started dir (#2921)

* Move ollama samples to samples getting started dir

* Address feedback

* Python: fix: correct BadRequestError when using Pydantic model in response_fo… (#1843)

* fix: correct BadRequestError when using Pydantic model in response_format

* Fix lint

---------

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* .NET: [Breaking] Delete display name property (#2758)

* delete the AIAgent.DisplayName property

* use agent name as a first value for activity display name

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffAgentExecutor.cs

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---------

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* Python: cleanup and refactoring of chat clients (#2937)

* refactoring and unifying naming schemes of internal methods of chat clients

* set tool_choice to auto

* fix for mypy

* added note on naming and fix #2951

* fix responses

* fixes in azure ai agents client

* Python: Workflow add option to visualize internal executors (#2917)

* Workflow add option to visualize internal executors

* Address Copilot comments

* Python: Fixes Run ID and Thread ID casing to align with AG-UI Typescript SDK (#2948)

* added camelCase input to run id and thread id aligning with @ag-ui/core

* fixed per copilot suggestions

* Python: Add workflow cancellation sample (#2732)

* Add workflow cancellation sample

Add sample demonstrating how to cancel a running workflow using asyncio
tasks. Shows both cancellation mid-execution and normal completion paths.
Useful for implementing timeouts, graceful shutdown, or A2A executors.

* update docstring

* .NET: Update Anthropic package to version 12.0.0 (#2914)

* Initial plan

* Update Anthropic package to version 12.0.0

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---------

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* Python: Add Azure Managed Redis Support with Credential Provider (#2887)

* azure redis support

* small fixes

* azure managed redis sample

* fixes

* Bump CommunityToolkit.Aspire.OllamaSharp from 13.0.0-beta.440 to 13.0.0 (#2856)

---
updated-dependencies:
- dependency-name: CommunityToolkit.Aspire.OllamaSharp
  dependency-version: 13.0.0
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.11 to 4.0.5 (#2853)

---
updated-dependencies:
- dependency-name: AWSSDK.Extensions.Bedrock.MEAI
  dependency-version: 4.0.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2854)

---
updated-dependencies:
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Python: Fix WorkflowAgent event handling and kwargs forwarding (#2946)

* Fix kwargs propagation through workflow.as_agent()

* Fix WorkflowAgent to respect AgentExecutor output_response setting

* .NET: Use GrpcEntityRunner instead of TaskEntityDispatcher (#2759)

* Use GrpcEntityRunner instead of TaskEntityDispatcher

* Pin to Durable worker 1.11.0

* Set the invocation result

* Update all Durable packages

* Update changelog, rename dispatcher to encondedEntityRequest

* Python: Bump Py version to 1.0.0b251218 for a release. Update CHANGELOG (#2968)

* Bump Py version to 1.0.0b251218 for a release. Update CHANGELOG

* update lock

* Fix formatting

* Fix ChatKit typing

* Python: Introducing Foundry Local Chat Clients (#2915)

* redo foundry local chat client

* fix mypy and spelling

* better docstring, updated sample

* fixed tests and added tests

* small sample update

* Updated package versions (#2978)

* Python: Added GitHub MCP sample with PAT (#2967)

* added github mcp sample with PAT

* addressed copilot fixes

* env fix

* Python: Preserve reasoning blocks with OpenRouter (#2950)

* Preserve reasoning blocks with OpenRouter

* Put encrypted reasoning in TextReasoningContent

* Remove unneccessary change

* Fix docs

* Support streaming

* Fix handling None in TextReasoningContent.text

* Python: Added response.created and response.in_progress event process to OpenAIBaseResponseClient (#2975)

* added response.created and response.in_progress to include response.id

* better doc string

* added tests for the new streaming event types

* Python: Introducing support for Bedrock-hosted models (Anthropic, Cohere, etc.) (#2610)

* Pushing the bedrock related changes to the new branch after addressing the review comments

* 2524 Addressed the second round review comments

* 2524 Addressed few more minor comments on the PR

* resolving the merge conflict

* 2524 resolved the uv.lock conflicts

* 2524 addressed more comments

* 2524 removed the print statement to fix the checks failure

* 2524 resolved the CI failure issues

* 2524 fixing the CI breaks

* 2524 Addressed the review comment

* 2524 resolved conflict

---------

Co-authored-by: Sunil Dutta <sunil.dutta@penske.com>
Co-authored-by: budgetboardingai <apurva.sharma31@gmail.com>

* .NET: [Durable Agents] Reliable streaming sample (#2942)

* .NET: [Durable Agents] Reliable streaming sample

* Add automated validation for new sample

* Address Copilot PR feedback

* Fix typo in README.md about agent definitions (#2634)

* Fix typo in README.md about agent definitions

* Update agent-samples/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Python: latency improvements (#3014)

* latency improvements

* fixed mypy, added coding standards and instructions

* slight logic improvement

* Python: Updated package versions (#3024)

* Updated package versions

* Updated changelog

* Python: add powerfx safe mode (#3028)

* add powerfx safe mode

* improved docstring and aligned env_file loading

* ensured test uses reset

* .NET: [Breaking] Introduce RunCoreAsync/RunCoreStreamingAsync delegation pattern in AIAgent (#2749)

* Initial plan

* Refactor AIAgent: Make RunAsync and RunStreamingAsync non-abstract, add RunCoreAsync and RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix infinite recursion in test implementations

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Make RunAsync and RunStreamingAsync non-virtual as requested

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix DelegatingAIAgent subclasses to use RunCoreAsync/RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix XML documentation references in AnonymousDelegatingAIAgent

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Restore <see cref> tags with proper qualified signatures in AnonymousDelegatingAIAgent

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Rollback unnecessary XML documentation changes in AnonymousDelegatingAIAgent

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Remove pragma and update crefs to RunCoreAsync/RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix EntityAgentWrapper to call base.RunCoreAsync/RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* fix compilation issues

* fix compilatio issue

* fix tests

* fix unit tests

* fix unit test

---------

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* add issue template and additional labeling (#3006)

* fix and extra int test (#3037)

* .NET: [BREAKING] Refactor ChatMessageStore methods to be similar to AIContextProvider and add filtering support (#2604)

* Refactor ChatMessageStore methods to be similar to AIContextProvider

* Fix file encoding

* Ensure that AIContextProvider messages area also persisted.

* Update formatting and seal context classes

* Improve formatting

* Remove optional messages from constructor and add unit test

* Add ChatMessageStore filtering via a decorator

* Update sample and cosmos message store to store AIContextProvider messages in right order. Fix unit tests.

* Update Workflowmessage store to use aicontext provider messages.

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Improve xml docs messaging

* Address code review comments.

* Also notify message store on failure

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* [BREAKING] Remove unused AgentThreadMetadata (#3067)

* Remove unused AgentThreadMetadata

* Update DurableTask Changelog

* Python: Fix AzureAIClient failure when conversation history contains assistant messages (#3076)

* Fix AzureAIClient failure when conversation history contains assistant messages

* Address PR review feedback: improve docstring and test assertions

* Remove redundant cast

* Fix: Update OTLP exporter protocol conditions (#3070)

* Python: Fix ExecutorInvokedEvent and ExecutorCompletedEvent observability data (#3090)

* Fix ExecutorInvokedEvent.data mutation bug

* Fix bug related to not yielding output type

* .NET: Seal ChatClientAgentThread (#2842)

* Initial plan

* Seal ChatClientAgentThread class

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

---------

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* Fix broken strands urls. (#3102)

* Fix broken strands urls.

* Fix typos

* .NET: Fix message ordering inconsistency when using AIContextProvider (#2659)

* Initial plan

* Fix message ordering inconsistency when using AIContextProvider

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Revert to original message ordering: Input, AIContextProvider, Response

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Reorder messages to ChatClient to match MessageStore order: Existing, Input, AIContextProvider

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* Remove redundant test methods as existing tests already verify the behavior

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---------

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* fix: tool_choice parameter not being honored when passed to agent.run() (#3095)

* sharepoint sample fix (#3108)

* Bump versions to 1.0.0b260106 for a release. Update CHANGELOG.md (#3109)

* Bump Bedrock version to latest (#3110)

* Python: Fix MCP tool result serialization for list[TextContent] (#2523)

* Fix MCP tool result serialization for list[TextContent]

When MCP tools return results containing list[TextContent], they were
incorrectly serialized to object repr strings like:
'[<agent_framework._types.TextContent object at 0x...>]'

This fix properly extracts text content from list items by:
1. Checking if items have a 'text' attribute (TextContent)
2. Using model_dump() for items that support it
3. Falling back to str() for other types
4. Joining single items as plain text, multiple items as JSON array

Fixes #2509

* Address PR review feedback for MCP tool result serialization

- Extract serialize_content_result() to shared _utils.py
- Fix logic: use texts[0] instead of join for single item
- Add type annotation: texts: list[str] = []
- Return empty string for empty list instead of '[]'
- Move import json to file top level
- Add comprehensive unit tests for serialization

* Address PR review feedback: fix type checking and double serialization

- Add isinstance(item.text, str) check to ensure text attribute is a string
- Fix double-serialization issue by keeping model_dump results as dicts
  until final json.dumps (removes escaped JSON strings in arrays)
- Improve docstring with detailed return value documentation
- Add test for non-string text attribute handling
- Add tests for list type tool results in _events.py path

* Simplify PR: minimal changes to fix MCP tool result serialization

Addresses reviewer feedback about excessive refactoring:
- Reset _events.py to original structure
- Only add import and use serialize_content_result in one location
- All review comments addressed in serialize_content_result():
  - Added isinstance(item.text, str) check
  - Use model_dump(mode="json") to avoid double-serialization
  - Improved docstring with explicit return value documentation
  - Empty list returns "" instead of "[]"

* Refactor: Move MCP TextContent serialization to core prepare_function_call_results

Per reviewer feedback, moved the TextContent serialization logic from
ag-ui's serialize_content_result to the core package's
prepare_function_call_results function.

Changes:
- Added handling for objects with 'text' attribute (like MCP TextContent)
  in _prepare_function_call_results_as_dumpable
- Removed serialize_content_result from ag-ui/_utils.py
- Updated _events.py and _message_adapters.py to use
  prepare_function_call_results from core package
- Updated tests to match the core function's behavior

* Fix failing tests for prepare_function_call_results behavior

- test_tool_result_with_none: Update expected value to 'null' (JSON serialization of None)
- test_tool_result_with_model_dump_objects: Use Pydantic BaseModel instead of plain class

* Fix B903 linter error: Convert MockTextContent to dataclass

The ruff linter was reporting B903 (class could be dataclass or namedtuple)
for the MockTextContent test helper classes. This commit converts them to
dataclasses to satisfy the linter check.

* Python: Improve DevUI, add Context Inspector view as new tab under traces (#2742)

* Improve DevUI, add Context Inspector view as new tab under traces

* fix mypy errors

* fix: Handle stale MCP connections in DevUI executor

MCP tools can become stale when HTTP streaming responses end - the underlying
stdio streams close but `is_connected` remains True. This causes subsequent
requests to fail with `ClosedResourceError`.

Add `_ensure_mcp_connections()` to detect and reconnect stale MCP tools before
agent execution. This is a workaround for an upstream Agent Framework issue
where connection state isn't properly tracked.

Fixes MCP tools failing on second HTTP request in DevUI.

fixes  #1476 #1515 #2865

* fix #1572 report import dependency errors more clearly

* Ensure there is streaming toggle where users can select streaming vs non streaming mode in devui . Fixes .NET: [Python] DevUI tool call rendering in non-streaming mode?

* remove unused dead code

* improve ux - workflows with agents show a chat component in execution timelien, also ensure magentic final output shows correctly

* update ui build

* update devui to use instrumentation instead of tracing, other instrumentation and type/instance check fixes

* .NET: Seal factory contexts and add non JSO deserialize overloads (#3066)

* Seal factory contexts and add non JSO deserialize overloads

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Enable blank issues in issue template configuration

Need to re-enable creating blank issues

* updated templates (#3106)

* updated templates

* enabled blank and fixed triage

* made language optional and moved to the bottom for features

* Python: Streaming sample for azurefunctions (#3057)

* Streaming sample for azurefunctions

* Fixed links and sample name

* Addressed feedback

* Addressed feedback

* Fixed integration tests

* Updated test

* Python: fix(azure-ai): Fix response_format handling for structured outputs (#3114)

* fix(azure-ai): read response_format from chat_options instead of run_options

* refactor: use explicit None checks for response_format

* Fix mypy error

* Mypy fix

* Python: Bump python version to 1.0.0b260107 for a release (#3128)

* Bump python version to 1.0.0b260107 for a release

* Update changelog

* Make A2AAgent public, so that it's concrete implementation methods can be used. (#3119)

* .NET: Map additional props <-> A2A metadata (#3137)

* map additional props from agent run options to a2a request metadata

* small touches

* add unit tests for new extension methods

* Sort using

* add unit test

* add additiona unit tests

* special case json element to avoid unnecessary serialization

* Python: Fix Anthropic streaming response bugs (#3141)

* test commit identity

* fix(anthropic): fix raw_representation and finish_reason in streaming

* lint fix

* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.5 to 4.0.5.1 (#2994)

---
updated-dependencies:
- dependency-name: AWSSDK.Extensions.Bedrock.MEAI
  dependency-version: 4.0.5.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Anthropic from 12.0.0 to 12.0.1 (#2993)

---
updated-dependencies:
- dependency-name: Anthropic
  dependency-version: 12.0.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* .NET: [Breaking] Prevent loss of input messages & streamed updates when resuming streaming (#2748)

* save input messages and stream updates to the continuation token to be able to use them in the last successful stream resumption call.

* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix typo

* init continuation token from chat response

* remove unnecessary types for source generation

* remove check for continuation token passed at initial run

* remove check for continuation token pass at initial run

* centralize continuation token parsing

* update xml comments

* use readonly collection instead of enumerable

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* .NET: fix: Expose WorkflowErrorEvent as ErrorContent (#2762)

* fix: Expose WorkflowErrorEvent as ErrorContent

When hosted using .AsAgent(), Workflows were not exposing inner errors coming as Exceptions (through the WorkflowErrorEvent)

The fix is to convert their message to an ErrorContent on the way out, rather than rely on the default "empty update" to collect the raw event.

* feat: Add a way to show/suppress exception information

* Bump Microsoft.Agents.AI.Workflows from 1.0.0-preview.251125.1 to 1.0.0-preview.251219.1 (#2997)

---
updated-dependencies:
- dependency-name: Microsoft.Agents.AI.Workflows
  dependency-version: 1.0.0-preview.251219.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
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* .NET: Add Run overloads to expose ChatClientAgentRunOptions in IntelliSense (#3115)

* Initial plan

* Add ChatClientAgentExtensions for improved discoverability of ChatClientAgentRunOptions

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Address code review feedback - use collection expression syntax

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Apply suggestion from @westey-m

* Fix issues with Copilot implementation

* Add additional tests for structured output overloads.

---------

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* Python: Add tool call/result content types and update connectors and samples (#2971)

* Add new AI content types and image tool support

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Add Python content types for tool calls/results and image generation tool support

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Address review feedback for tool content and samples

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Tighten image generation typing and sample tools list

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* Align image generation output typing

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* Handle MCP naming, image options mapping, and connector tool content

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Allow MCP call in function approval request

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* Remove raw image_generation tool remapping

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* Restore Anthropic tool_use to function calls unless code execution

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Fix lint issues for hosted file docstring and MCP parsing

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Import ChatResponse types in Anthropic client

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Fix Anthropics citation type imports and MCP typing for handoff/tools

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Skip lightning tests without agentlightning and fix function call import

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* fix lint on lab package

* rebuilt anthropic parsing

* redid anthropic parsing

* typo

* updated parsing and added missing docstrings

* fix tests

* mypy fixes

* second mypy fix

* add new class to other samples

---------

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* Bump Google.GenAI from 0.6.0 to 0.9.0 (#2995)

---
updated-dependencies:
- dependency-name: Google.GenAI
  dependency-version: 0.9.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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* Bump js-yaml from 4.1.0 to 4.1.1 in /python/packages/devui/frontend (#3123)

Bumps [js-yaml](https://github.com/nodeca/js-yaml) from 4.1.0 to 4.1.1.
- [Changelog](https://github.com/nodeca/js-yaml/blob/master/CHANGELOG.md)
- [Commits](https://github.com/nodeca/js-yaml/compare/4.1.0...4.1.1)

---
updated-dependencies:
- dependency-name: js-yaml
  dependency-version: 4.1.1
  dependency-type: indirect
...

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* Updated package versions (#3144)

* .NET: Bump Microsoft.Agents.AI.OpenAI and Microsoft.Extensions.AI.OpenAI (#2996)

* Bump Microsoft.Agents.AI.OpenAI and Microsoft.Extensions.AI.OpenAI

Bumps Microsoft.Agents.AI.OpenAI from 1.0.0-preview.251125.1 to 1.0.0-preview.251219.1
Bumps Microsoft.Extensions.AI.OpenAI from 10.1.0-preview.1.25608.1 to 10.1.1-preview.1.25612.2

---
updated-dependencies:
- dependency-name: Microsoft.Agents.AI.OpenAI
  dependency-version: 1.0.0-preview.251219.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Extensions.AI.OpenAI
  dependency-version: 10.1.1-preview.1.25612.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Agents.AI.OpenAI
  dependency-version: 1.0.0-preview.251219.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Extensions.AI.OpenAI
  dependency-version: 10.1.1-preview.1.25612.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Fixed samples

---------

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* Python: fix(ag-ui): Execute tools with approval_mode, fix shared state, code cleanup  (#3079)

* fix(ag-ui): execute tools after approval in human-in-the-loop flow

* Fix shared state bug

* Bug fix finalized

* Refactoring to clean up code

* Code cleanup

* More fixes

* More code cleanup

* Add version detection in __init__.py to ruff ignore list

* Track agent name with updates for workflow agent (#3146)

* Python: Fix AzureAIClient tool call bug for AG-UI use (#3148)

* Fiz AzureAIClient tool call bug

* Address copilot feedback

* Python: multiple bug fixes (#3150)

* fix Python: kwargs are not passed to _prepare_thread_and_messages in ChatAgent.run
Fixes #3118

* fix Python: [Bug]: model_id versus model_deployment_name is confusing in Azure AI Agents
Fixes #3147

* add types

* fixed type and docstring

* fix(anthropic): fix duplicate ToolCallStartEvent in streaming tool calls (#3051)

When processing `input_json_delta` events, the Anthropic client was
passing the tool name from the previous `tool_use` event. This caused
ag-ui's `_handle_function_call_content` to emit a `ToolCallStartEvent`
for every streaming chunk (since it triggers on `if content.name:`).

This fix changes the behavior to pass an empty string for `name` in
`input_json_delta` events, matching OpenAI's behavior where streaming
argument chunks have `name=""`. The initial `tool_use` event still
provides the tool name, so only one `ToolCallStartEvent` is emitted.

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>

* .NET: [BREAKING] Change GetNewThread and DeserializeThread to async (#3152)

* Change GetNewThread and DeserializeThread plus ChatMessageStore and AIContextProvider Factories to async

* Merge fixes

* Fix Ollama model env var in documentation (#3156)

Signed-off-by: Dina Suehiro Jones <dina.s.jones@intel.com>

* Python: Add Pydantic request model and OpenAPI tags support to AG-UI FastAPI endpoint (#2522)

* feat(ag-ui): Add Pydantic request model and OpenAPI tags support

- Add AGUIRequest Pydantic model in _types.py with field descriptions
- Update add_agent_framework_fastapi_endpoint() to accept tags parameter
- Use AGUIRequest model for automatic validation and OpenAPI schema generation
- Export AGUIRequest and DEFAULT_TAGS in __init__.py
- Update test_endpoint.py to expect 422 for invalid requests
- Add tests for OpenAPI schema, default tags, custom tags, and validation

Benefits:
- Better API documentation with complete request schema in Swagger UI
- Automatic request validation with Pydantic
- Organized endpoints under 'AG-UI' tag instead of 'default'
- Improved developer experience and type safety

Fixes #<issue-number>

* test(ag-ui): Add test for internal error handling to achieve 100% coverage

- Add test_endpoint_internal_error_handling() to cover exception handling code
- Mock copy.deepcopy to simulate internal error during default_state processing
- Add type: ignore for FastAPI tags parameter (known pyright compatibility issue)
- Achieves 100% test coverage for _endpoint.py (previously missing lines 103-105)

* .NET: Improve resolving `AITool` from DI (#3175)

* remove localagenttoolregistry

* also give the factory method API

* Python: Fix MCPStreamableHTTPTool to use new streamable_http_client API (#3088)

* Fix MCPStreamableHTTPTool to use new streamable_http_client API with proper httpx client cleanup

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Update docstring to reflect new streamable_http_client API usage

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* Refactor MCPStreamableHTTPTool to accept optional http_client parameter and delegate client creation to streamable_http_client

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* Update mcp package minimum version to 1.24.0 for streamable_http_client API support

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* Fix critical bugs: apply headers/timeout/sse_read_timeout when creating httpx client, add version constraint <2, and properly manage client lifecycle

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Simplify implementation: remove headers/timeout/sse_read_timeout params, remove kwargs, remove close() override per feedback

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* Add back **kwargs parameter for backward compatibility (accepted but not used)

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* Remove unused httpx import from test file

Note: The uv.lock file needs to be updated with 'uv sync' to reflect the mcp version constraint change (>=1.24.0,<2)

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* cicd fixes

* udpated samples with headers examples

---------

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* azureai direct a2a endpoint support (#3127)

* Python: [BREAKING]: removed display_name, renamed context_providers, middleware and AggregateContextProvider (#3139)

* removed display_name, renamed context_providers, middleware and AggregateContextProvider

* fixes

* fixed test

* testfix

* removed mistakenly put back test

* updated new test

* rename middlewares to middleware

* middleware fixes

* Python: MCP Improvements: improved connection loss behavior, pagination for loading and a param to control representation (#3154)

* pagination support (#2848) added a parse_tool_result param and connection loss (#2884)

* fix #3153

* improved connection handling

* improved logic

* Python: Add declarative workflow runtime (#2815)

* Further support for declarative python workflows

* Add tests. Clean up for typing and formatting

* Improvements and cleanup

* Typing cleanup. Improve docstrings

* Proper code in docstrings

* Fix malformed code-block directive in docstring

* Remove dead links

* PR feedback

* Address PR feedback

* Address PR feedback

* Remove sl

* Update devui frontend

* More cleanup

* Fix uv lock

* Skip Py 3.14 tests as powerfx doesn't support it

* Fix mypy error

* Fix for tool calls

* Removed stale docstring

* Fix lint

* Standardize on .NET namespaces. Revert DevUI changes (bring in later)

* Implement remaining items for Python declarative support to match dotnet

* point URL to agent, not to agentcard (#3176)

* Python: [BREAKING]: Introducing Options as TypedDict and Generic (#3140)

* WIP typeddict for options

* updated all clients and ChatAgents

* updated everything

* added ADR

* fix mypy

* proper typevar imports

* fixed import

* fixed other imports

* slight update in the sample

* updated from feedback

* fixes

* fixed missing covariants and test fixes

* fixed typing

* updated anthropic thinking config

* ruff fixes

* fixed int tests

* fix tests and mypy

* updated integration tests

* updated docstring and test fix

* improved options handling in obser

* mypy fix

* updated a host of integration tests

* fix tests

* bedrock fix

* [BREAKING] Python: Refactor orchestrations (#3023)

* Group chat refactoring Part 1; Next: HIL and handoff

* Add agent approval flow; next samples

* WIP: samples

* WIP: HIL samples

* Group chat HIL working; next: handoff

* Fix group chat tool approval sample

* WIP: refactor handoff; next handoff handling

* Handoff done; next handoff samples and concurrent and sequential

* Handoff samples, concurrent, and sequential done; next Magentic

* WIP: magentic; next test with samples + HIL

* Magentic Working; next fix all samples and tests

* Fix handoff samples; next tests

* WIP: fixing tests; some orchestration as agent samples are failing

* Group chat unit tests done

* Handoff  unit tests done

* Remove old orchestration_request_info and fix related tests

* Magentic unit tests done

* Fix samples

* Fix test

* Fix test 2

* mypy

* Address comments

* Update readme

* Address comments

* Address comments 2

* Replace display name

* Python: ADR for create/get agent API (#2618)

* ADR for create/get agent API

* Updated ADR with implementation options

* Small updates

* Updated decision outcome section

* Updated broken links

* Small updates

* Fixed merge conflicts

* Small fix

* Updated decision outcome section

* Small fixes

* Updated provider naming based on client SDK

* Add ignored parameter for CodeQL in workflow (#3204)

* Implement IReadOnlyList on InMemoryChatMessageStore (#3205)

* .NET: Make ChatMessageStore and AIContextProvider context props settable (#3196)

* Make ChatMessageStore and AIContextProvider context props setable

* Add validation to preserve non-null requirement of certain properties.

* Fix broken tests.

* Python: Add dependencies param to ag-ui FastAPI endpoint (#3191)

* Add dependencies param to ag-ui FastAPI endpoint

* Address Copilot feedback

* renamed all (#3207)

* Python: ADR for simplified get response (#3098)

* ADR for simplified get response

* updated some language, added agent option and code comparison

* small update in sample

* added workflows and expanded some points

* changed decision and number

* updated with stream=False default

* .NET: [Breaking] Rename`AgentRunResponse` and `AgentRunResponseUpdate` classes (#3197)

* rename AgentRunResponse and AgentRunResponseUpdate classes - part1

* rename varialbles, parameters, methods and tests

* rollback unnecessary changes

* .NET: [Breaking] Rename AgentRunResponseEvent and AgentRunUpdateEvent classes (#3214)

* rename AgentRunResponseEvent and AgentRunUpdateEvent classes

* rollback unnecessary changes

* Python: Create/Get Agent API for Azure V2 (#3059)

* Added get_agent method to Azure AI V2

* Small fixes

* Small fix

* Removed AzureAIAgentProvider

* Added create_agent method

* Small fixes

* Fixed code interpreter tool mapping

* Added agent provider for V2 client

* Updated response format handling

* Added provider example

* Fixed errors

* Update python/samples/getting_started/agents/azure_ai/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Small fix

* Updates from merge

* Resolved comments

* Resolved comments

---------

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* Python: Add more specific exceptions to Workflow (#3188)

* Add more specifc workflow exceptions

* Fix tests

* AI comments

* Misc

* Python: Added AzureAI sample for downloading code interpreter generated files (#3189)

* added azure ai code interpreter file download sample

* copilot fix suggestions

* function name fixes + readme update

* small fix

* update package versions (#3223)

Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>

* Python: fix(core): correct FunctionResultContent ordering in WorkflowAgent.merge_updates (#3168)

* fix(core): simplify FunctionResultContent ordering in WorkflowAgent.merge_updates

* improve comment

* Fix name

* fix(workflows): rename WorkflowOutputEvent.source_executor_id to executor_id for API consistency (#3166)

* Python: fix(ag-ui): add MCP tool support for AG-UI approval flows (#3212)

* add MCP tool support for AG-UI approval flows

* use attribute in place of property

* Python: Properly configure structured outputs based on new options dict (#3213)

* Properly configure structured outputs based on new options dict

* Fix mypy

* .NET: Merge AgentRunOptions.AdditionalProperties into ChatOptions.AdditionalProperties (#3184)

* Merge AgentRunOptions.AdditionalProperties into ChatOptions.AdditionalProperties

* Fix namespace and typo.

* .NET: Update Google.GenAI to 0.11.0 and remove polyfill implementations (#3232)

* Initial plan

* Update Google.GenAI to 0.11.0 and remove polyfill files

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

---------

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* .NET: [BREAKING] Renamed CreateAIAgent/GetAIAgent to AsAIAgent (#3222)

* Renamed chat client extension method

* Additional renaming

* Updated documentation

* Fixed tests

* Small fix

* Small fix

* Updated DurableAIAgent and fixed integration tests (#3241)

* Python: Create/Get Agent API for Azure V1 (#3192)

* Added provider implementation for Azure AI V1

* Small fixes

* Fixed OpenAPI example

* Fixed local MCP example

* Fixed hosted MCP example

* Fixed file search sample

* Small fixes

* Resolved comments

* Doc updates

* Bump azure-core from 1.37.0 to 1.38.0 in /python (#3209)

Bumps [azure-core](https://github.com/Azure/azure-sdk-for-python) from 1.37.0 to 1.38.0.
- [Release notes](https://github.com/Azure/azure-sdk-for-python/releases)
- [Commits](https://github.com/Azure/azure-sdk-for-python/compare/azure-core_1.37.0...azure-core_1.38.0)

---
updated-dependencies:
- dependency-name: azure-core
  dependency-version: 1.38.0
  dependency-type: indirect
...

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* Python: Create/Get Agent API for OpenAI Assistants (#3208)

* Added provider implementation

* Added example with response format

* Small improvements

* Python: (AG-UI) Support service-managed thread on AG-UI  (#3136)

* added service thread support

* set service_thread_id to only supplied_thread_id

* uses raw_representation to extract the conversation_id

* removed accidental edit

* updated test to use raw_representation

* resolves copilot review feedback

* revert back StubAgent, since not used

* removed relative module import

* removed hasattr check per PR feedback

* Create/Get Agent API - fixes and example improvements (#3246)

* Fix merge conflicts

---------

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2026-01-16 16:59:49 -08:00
Laveesh Rohra 3df916064c Python: Add Durabletask samples and minor fixes (#3157)
* Add samples and minor fixes

* Add redis sample and wait-for-completion

* Add wait-for-completion support

* ADd missing docs
2026-01-14 10:56:11 -08:00
Laveesh Rohra 1e36ba33c4 .NET: Python: Merge main into feature-durabletask-python branch (#3160)
* Python: Add factory pattern to concurrent orchestration builder (#2738)

* Add factory pattern to concurrent orchestration builder

* Update readme

* Address AI comments

* Fix unit tests

* Fix import

* Prevent multiple calls to set participants or factories

* Add comments

* Mitigate warnings

* Fix mypy

* Address comments

* Address Copilot comments

* Fix tests

* Python: fix: GroupChat ManagerSelectionResponse JSON Schema for OpenAI Structured Outpu… (#2750)

* fix: ManagerSelectionResponse JSON Schema for OpenAI Structured Output Strict Mode

* refactor: install pre-commit then commit again

* Capture file IDs from code interpreter in streaming responses (#2741)

* .NET: [BREAKING] Prevent nulls in AIAgent property (#2719)

* prevent nulls in AIAgent property

* address feedback

* code ql sm04598 (#2723)

Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com>

* .NET: Add Conversation State Sample (Step05) (#2697)

* Initial plan

* Add Agent_OpenAI_Step05_Conversation sample for conversation state management

Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>

* Update Program.cs comment to accurately describe the sample

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* Update the code to use the ConversationClient more in line with the samples in OpenAI

* Apply suggestions from code review

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* Changing sample to use ChatClientAgent and conversationId in GetNewThread

---------

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* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.7 to 4.0.4.11 (#2777)

---
updated-dependencies:
- dependency-name: AWSSDK.Extensions.Bedrock.MEAI
  dependency-version: 4.0.4.11
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.Identity from 1.17.0 to 1.17.1 (#2780)

---
updated-dependencies:
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2778)

---
updated-dependencies:
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Python: added more complete parsing for mcp tool arguments (#2756)

* added more complete parsing for mcp tool arguments

* fixed mypy

* added nonlocal model counter, and some fixes

* fixes in naming logic

* extracted json parsing function, added parametrized test and checked coverage

* Python: Updated package versions (#2784)

* Updated package versions

* Small fix

* Bump actions/checkout from 5 to 6 (#2404)

Bumps [actions/checkout](https://github.com/actions/checkout) from 5 to 6.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/checkout
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
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* .NET: adds support for labels in edges,  fixes rendering of labels in dot a… (#1507)

* adds support for labels in edges,  fixes rendering of labels in dot and mermaid, adds rendering of labels in edges

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* escaping edge labels, adding tests for labels containing strange characters that would break the diagram and enabling the previous signature so the API has backwards compatibility.

* Unify label in EdgeData

* Edge API adjustments, removed useless "sanitizer"

* fixed test

---------

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* Python: Added custom args and thread object to ai_function kwargs (#2769)

* Added an example of using kwargs in ai_function

* Added thread object to ai_function kwargs

* Updated docs

* Small fix

* Added thread parameter filtering

* Fix WorkflowAgent to include thread convo history. Enable checkpointing. (#2774)

* Update OpenAIResponses.yaml to match AgentSchema (#2598)

1. Update `connection` child types --  `kind: ApiKey` to `kind: key` otherwise schema will fail: https://microsoft.github.io/AgentSchema/reference/apikeyconnection/

2.  Update `outputSchema`'s `PropertySchema` to be `kind` instead of `type` otherwise schema will fail: https://microsoft.github.io/AgentSchema/reference/propertyschema/

* Python: Remove warnings from workflow builder on not using factories (#2808)

* Revert concurrent

* Fix comments

* Python: Filter framework kwargs from MCP tool invocations (#2870)

* Filter framework kwargs from MCP tool invocations

* Fixes

* Python: Fix WorkflowAgent to emit yield_output as agent response (#2866)

* Fix WorkflowAgent to emit yield_output as agent response

* use raw_representation

* Raw representation handling

* Python: Use agent description in HandoffBuilder auto-generated tools (#2713) (#2714)

## Summary
Enhanced `HandoffBuilder._apply_auto_tools` to use the target agent's
description when creating handoff tools, providing more informative tool
descriptions for LLMs.

## Changes
- Modified `_apply_auto_tools` to extract `description` from
  `AgentExecutor._agent` when available
- Updated iteration to use `.items()` for more efficient dict traversal
- Handoff tools now use agent descriptions instead of generic placeholders

## Example
Before: "Handoff to the refund_agent agent."
After: "You handle refund requests. Ask for order details and process refunds."

## Testing
- All handoff tests pass (20/20)
- No breaking changes to existing API

Fixes #2713

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* Python: [BREAKING] Observability updates (#2782)

* fixes Python: Add env_file_path parameter to setup_observability() similar to AzureOpenAIChatClient
Fixes #2186

* WIP on updates using configure_azure_monitor

* improved setup and clarity

* fixed root .env.example

* revert changes

* updated files

* updated sample

* updated zero code

* test fixes and fixed links

* fix devui

* removed planning docs

* added enable method and updated readme and samples

* clarified docstring

* add return annotation

* updated naming

* update capatilized version

* updated readme and some fixes

* updated decorator name inline with the rest

* feedback from comments addressed

* Python: Fix middleware terminate flag to exit function calling loop immediately (#2868)

* Fix middleware terminate flag to exit function calling loop immediately

* Eliminating duck typing

* Improve function exec result handling

* Fix race condition

* Fix mypy issues

* Python: Fix context duplication in handoff workflows when restoring from checkpoint (#2867)

* Fix context duplication in handoff workflows when restoring from checkpoint

* Address Copilot PR review

* .NET: Update to latest Azure.AI.*, OpenAI, and M.E.AI* (#2850)

* Update to latest Azure.AI.*, OpenAI, and M.E.AI*

Absorb breaking changes in Responses surface area

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs

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* Using patch to remove the model is necessary, updated the response client to actually use the the ForAgent

---------

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Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>

* Bump actions/download-artifact from 6 to 7 (#2862)

Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 6 to 7.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v6...v7)

---
updated-dependencies:
- dependency-name: actions/download-artifact
  dependency-version: '7'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Bump actions/cache from 4 to 5 (#2861)

Bumps [actions/cache](https://github.com/actions/cache) from 4 to 5.
- [Release notes](https://github.com/actions/cache/releases)
- [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md)
- [Commits](https://github.com/actions/cache/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/cache
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Bump actions/upload-artifact from 5 to 6 (#2860)

Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 5 to 6.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Python : Ollama Connector for Agent Framework (#1104)

* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

* remove"opentelemetry-semantic-conventions-ai ~=0.4.13" since its handled in a different pr

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

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* Update python/packages/ollama/pyproject.toml

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* Update python/packages/ollama/tests/test_ollama_chat_client.py

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* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

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* Improved Docstrings & Sample

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Integrate PR Feedback
- Divided Streaming and Non-Streaming into independent Methods
- Catch Ollama Validation Error
- Add OTEL Provider Name
- Checked Ollama Messages
- Add Usage Statistics

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

* Update python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py

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* Integrated Copilot Feedback

* Implement first PR Feedback

* Adjust Readme files for examples

* Adjust argument passing via additional chat options

* Implemented PR Feedback

* Removing Ollama Package from Core and moving samples

* Fix Link & Adding Samples to Main Sample Readme

* Fixing Links in Readme

* Moved Multimodal and Chat Example

* Fixed Link in ChatClient to Ollama

* Fix AgentFramework Links in Ollama Project

* Fix observability breaking change

---------

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Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Skip failing IT (#2904)

* .NET: Cosmos DB UT Fast Skip (For Non-Configured Local envs) (#2906)

* Cosmos DB UT Fast Skip (Non-Configured Local envs) + Long running UT skip in pipeline when no CosmosDB changes happened

* Force a CosmosDB source code change to trigger the pipeline

* Address possible string boolean mismatch

* Add debug

* Enabling emulator always when running IT

* .NET: Add TTLs to durable agent sessions (#2679)

* .NET: Add TTLs to durable agent sessions

* Remove unnecessary async

* PR feedback: clarify UTC

* PR feedback: limit minimum signal delay to <= 5 minutes

* PR feedback: Fix TTL disablement

* Linter: use auto-property

* Fix build break from OpenAI SDK change

* Updated CHANGELOG.md

* PR feedback

* Reduce default TTL to 14 days to work around DTS bug

* Python:  Update Mem0Provider to use v2 search API `filters` parameter (#2766)

* short fix to move id parameters to filters object

* added tests

* small fix

* mem0 dependency update

* Updated package versions (#2913)

* .NET: Switch to new "Run" method name. (#2843)

* Switch to new "RunAgent" method name.

* Try to disable false positive naming warning.

* Add comment about disabled warnings.

* Rename `RunAgent` to just `Run`.

* Update CHANGELOG.

* Python: Switch to new "run" method name. (#2890)

* Switch to `run` method.

* Add support for deprecated `run_agent`.

* Fix entity method name.

* Fix method name and improve tests.

* Update comment.

* Update Python CHANGELOG.

* [BREAKING] Python: Add factory pattern to handoff orchestration builder (#2844)

* WIP: Factory pattern to handoff

* Add factory pattern to concurrent orchestration builder; Next: tests and sample verification

* Add tests and improve comments

* Fix mypy

* Simplify handoff_simple.py

* Simplify handoff_autonoumous.py and bug fix

* Update readme

* Address Copilot comments

* Python: Flow custom kwargs to agents via Workflow SharedState (#2894)

* Flow custom kwargs to agents via SharedState

* Address Copilot feedback

* Improve sample typing

* Fix test

* Fix Pydantic error when using Literal type for tool params (#2893)

* Updated Ollama package version (#2920)

* Python: Azure AI Agent with Bing Grounding Citations Sample (#2892)

* bing grounding sample with citations

* small fix

* fix

* .NET: Make DelegatingAIAgent abstract (#2797)

* Initial plan

* Make DelegatingAIAgent abstract

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

---------

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* Added additional arguments for Azure AI agent (#2922)

* Python: Correction of MCP image type conversion in  _mcp.py (#2901)

* Correction of MCP image type conversion in  _mcp.py

* Added a new overload to the init function of the DataContent() type of the Agent Framework, edited the test case to correctly test the usage of the data and uri fields while using DataContent()

* Fixed tests related to the changes of the DataContent type, added testing for both string and byte representations

* Pass kwargs into subworkflows (#2923)

* Python: Move ollama samples to samples getting started dir (#2921)

* Move ollama samples to samples getting started dir

* Address feedback

* Python: fix: correct BadRequestError when using Pydantic model in response_fo… (#1843)

* fix: correct BadRequestError when using Pydantic model in response_format

* Fix lint

---------

Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>

* .NET: [Breaking] Delete display name property (#2758)

* delete the AIAgent.DisplayName property

* use agent name as a first value for activity display name

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffAgentExecutor.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Python: cleanup and refactoring of chat clients (#2937)

* refactoring and unifying naming schemes of internal methods of chat clients

* set tool_choice to auto

* fix for mypy

* added note on naming and fix #2951

* fix responses

* fixes in azure ai agents client

* Python: Workflow add option to visualize internal executors (#2917)

* Workflow add option to visualize internal executors

* Address Copilot comments

* Python: Fixes Run ID and Thread ID casing to align with AG-UI Typescript SDK (#2948)

* added camelCase input to run id and thread id aligning with @ag-ui/core

* fixed per copilot suggestions

* Python: Add workflow cancellation sample (#2732)

* Add workflow cancellation sample

Add sample demonstrating how to cancel a running workflow using asyncio
tasks. Shows both cancellation mid-execution and normal completion paths.
Useful for implementing timeouts, graceful shutdown, or A2A executors.

* update docstring

* .NET: Update Anthropic package to version 12.0.0 (#2914)

* Initial plan

* Update Anthropic package to version 12.0.0

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

---------

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Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

* Python: Add Azure Managed Redis Support with Credential Provider (#2887)

* azure redis support

* small fixes

* azure managed redis sample

* fixes

* Bump CommunityToolkit.Aspire.OllamaSharp from 13.0.0-beta.440 to 13.0.0 (#2856)

---
updated-dependencies:
- dependency-name: CommunityToolkit.Aspire.OllamaSharp
  dependency-version: 13.0.0
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.11 to 4.0.5 (#2853)

---
updated-dependencies:
- dependency-name: AWSSDK.Extensions.Bedrock.MEAI
  dependency-version: 4.0.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2854)

---
updated-dependencies:
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Python: Fix WorkflowAgent event handling and kwargs forwarding (#2946)

* Fix kwargs propagation through workflow.as_agent()

* Fix WorkflowAgent to respect AgentExecutor output_response setting

* .NET: Use GrpcEntityRunner instead of TaskEntityDispatcher (#2759)

* Use GrpcEntityRunner instead of TaskEntityDispatcher

* Pin to Durable worker 1.11.0

* Set the invocation result

* Update all Durable packages

* Update changelog, rename dispatcher to encondedEntityRequest

* Python: Bump Py version to 1.0.0b251218 for a release. Update CHANGELOG (#2968)

* Bump Py version to 1.0.0b251218 for a release. Update CHANGELOG

* update lock

* Fix formatting

* Fix ChatKit typing

* Python: Introducing Foundry Local Chat Clients (#2915)

* redo foundry local chat client

* fix mypy and spelling

* better docstring, updated sample

* fixed tests and added tests

* small sample update

* Updated package versions (#2978)

* Python: Added GitHub MCP sample with PAT (#2967)

* added github mcp sample with PAT

* addressed copilot fixes

* env fix

* Python: Preserve reasoning blocks with OpenRouter (#2950)

* Preserve reasoning blocks with OpenRouter

* Put encrypted reasoning in TextReasoningContent

* Remove unneccessary change

* Fix docs

* Support streaming

* Fix handling None in TextReasoningContent.text

* Python: Added response.created and response.in_progress event process to OpenAIBaseResponseClient (#2975)

* added response.created and response.in_progress to include response.id

* better doc string

* added tests for the new streaming event types

* Python: Introducing support for Bedrock-hosted models (Anthropic, Cohere, etc.) (#2610)

* Pushing the bedrock related changes to the new branch after addressing the review comments

* 2524 Addressed the second round review comments

* 2524 Addressed few more minor comments on the PR

* resolving the merge conflict

* 2524 resolved the uv.lock conflicts

* 2524 addressed more comments

* 2524 removed the print statement to fix the checks failure

* 2524 resolved the CI failure issues

* 2524 fixing the CI breaks

* 2524 Addressed the review comment

* 2524 resolved conflict

---------

Co-authored-by: Sunil Dutta <sunil.dutta@penske.com>
Co-authored-by: budgetboardingai <apurva.sharma31@gmail.com>

* .NET: [Durable Agents] Reliable streaming sample (#2942)

* .NET: [Durable Agents] Reliable streaming sample

* Add automated validation for new sample

* Address Copilot PR feedback

* Fix typo in README.md about agent definitions (#2634)

* Fix typo in README.md about agent definitions

* Update agent-samples/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Python: latency improvements (#3014)

* latency improvements

* fixed mypy, added coding standards and instructions

* slight logic improvement

* Python: Updated package versions (#3024)

* Updated package versions

* Updated changelog

* Python: add powerfx safe mode (#3028)

* add powerfx safe mode

* improved docstring and aligned env_file loading

* ensured test uses reset

* .NET: [Breaking] Introduce RunCoreAsync/RunCoreStreamingAsync delegation pattern in AIAgent (#2749)

* Initial plan

* Refactor AIAgent: Make RunAsync and RunStreamingAsync non-abstract, add RunCoreAsync and RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix infinite recursion in test implementations

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* Make RunAsync and RunStreamingAsync non-virtual as requested

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix DelegatingAIAgent subclasses to use RunCoreAsync/RunCoreStreamingAsync

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* Fix XML documentation references in AnonymousDelegatingAIAgent

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* Restore <see cref> tags with proper qualified signatures in AnonymousDelegatingAIAgent

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Rollback unnecessary XML documentation changes in AnonymousDelegatingAIAgent

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* Remove pragma and update crefs to RunCoreAsync/RunCoreStreamingAsync

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* Fix EntityAgentWrapper to call base.RunCoreAsync/RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* fix compilation issues

* fix compilatio issue

* fix tests

* fix unit tests

* fix unit test

---------

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* add issue template and additional labeling (#3006)

* fix and extra int test (#3037)

* .NET: [BREAKING] Refactor ChatMessageStore methods to be similar to AIContextProvider and add filtering support (#2604)

* Refactor ChatMessageStore methods to be similar to AIContextProvider

* Fix file encoding

* Ensure that AIContextProvider messages area also persisted.

* Update formatting and seal context classes

* Improve formatting

* Remove optional messages from constructor and add unit test

* Add ChatMessageStore filtering via a decorator

* Update sample and cosmos message store to store AIContextProvider messages in right order. Fix unit tests.

* Update Workflowmessage store to use aicontext provider messages.

* Apply suggestions from code review

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Improve xml docs messaging

* Address code review comments.

* Also notify message store on failure

---------

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Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* [BREAKING] Remove unused AgentThreadMetadata (#3067)

* Remove unused AgentThreadMetadata

* Update DurableTask Changelog

* Python: Fix AzureAIClient failure when conversation history contains assistant messages (#3076)

* Fix AzureAIClient failure when conversation history contains assistant messages

* Address PR review feedback: improve docstring and test assertions

* Remove redundant cast

* Fix: Update OTLP exporter protocol conditions (#3070)

* Python: Fix ExecutorInvokedEvent and ExecutorCompletedEvent observability data (#3090)

* Fix ExecutorInvokedEvent.data mutation bug

* Fix bug related to not yielding output type

* .NET: Seal ChatClientAgentThread (#2842)

* Initial plan

* Seal ChatClientAgentThread class

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---------

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* Fix broken strands urls. (#3102)

* Fix broken strands urls.

* Fix typos

* .NET: Fix message ordering inconsistency when using AIContextProvider (#2659)

* Initial plan

* Fix message ordering inconsistency when using AIContextProvider

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Revert to original message ordering: Input, AIContextProvider, Response

Co-authored-by: westey-m <164392973+westey-m@users.noreply.github.com>

* Reorder messages to ChatClient to match MessageStore order: Existing, Input, AIContextProvider

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* Remove redundant test methods as existing tests already verify the behavior

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---------

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* fix: tool_choice parameter not being honored when passed to agent.run() (#3095)

* sharepoint sample fix (#3108)

* Bump versions to 1.0.0b260106 for a release. Update CHANGELOG.md (#3109)

* Bump Bedrock version to latest (#3110)

* Python: Fix MCP tool result serialization for list[TextContent] (#2523)

* Fix MCP tool result serialization for list[TextContent]

When MCP tools return results containing list[TextContent], they were
incorrectly serialized to object repr strings like:
'[<agent_framework._types.TextContent object at 0x...>]'

This fix properly extracts text content from list items by:
1. Checking if items have a 'text' attribute (TextContent)
2. Using model_dump() for items that support it
3. Falling back to str() for other types
4. Joining single items as plain text, multiple items as JSON array

Fixes #2509

* Address PR review feedback for MCP tool result serialization

- Extract serialize_content_result() to shared _utils.py
- Fix logic: use texts[0] instead of join for single item
- Add type annotation: texts: list[str] = []
- Return empty string for empty list instead of '[]'
- Move import json to file top level
- Add comprehensive unit tests for serialization

* Address PR review feedback: fix type checking and double serialization

- Add isinstance(item.text, str) check to ensure text attribute is a string
- Fix double-serialization issue by keeping model_dump results as dicts
  until final json.dumps (removes escaped JSON strings in arrays)
- Improve docstring with detailed return value documentation
- Add test for non-string text attribute handling
- Add tests for list type tool results in _events.py path

* Simplify PR: minimal changes to fix MCP tool result serialization

Addresses reviewer feedback about excessive refactoring:
- Reset _events.py to original structure
- Only add import and use serialize_content_result in one location
- All review comments addressed in serialize_content_result():
  - Added isinstance(item.text, str) check
  - Use model_dump(mode="json") to avoid double-serialization
  - Improved docstring with explicit return value documentation
  - Empty list returns "" instead of "[]"

* Refactor: Move MCP TextContent serialization to core prepare_function_call_results

Per reviewer feedback, moved the TextContent serialization logic from
ag-ui's serialize_content_result to the core package's
prepare_function_call_results function.

Changes:
- Added handling for objects with 'text' attribute (like MCP TextContent)
  in _prepare_function_call_results_as_dumpable
- Removed serialize_content_result from ag-ui/_utils.py
- Updated _events.py and _message_adapters.py to use
  prepare_function_call_results from core package
- Updated tests to match the core function's behavior

* Fix failing tests for prepare_function_call_results behavior

- test_tool_result_with_none: Update expected value to 'null' (JSON serialization of None)
- test_tool_result_with_model_dump_objects: Use Pydantic BaseModel instead of plain class

* Fix B903 linter error: Convert MockTextContent to dataclass

The ruff linter was reporting B903 (class could be dataclass or namedtuple)
for the MockTextContent test helper classes. This commit converts them to
dataclasses to satisfy the linter check.

* Python: Improve DevUI, add Context Inspector view as new tab under traces (#2742)

* Improve DevUI, add Context Inspector view as new tab under traces

* fix mypy errors

* fix: Handle stale MCP connections in DevUI executor

MCP tools can become stale when HTTP streaming responses end - the underlying
stdio streams close but `is_connected` remains True. This causes subsequent
requests to fail with `ClosedResourceError`.

Add `_ensure_mcp_connections()` to detect and reconnect stale MCP tools before
agent execution. This is a workaround for an upstream Agent Framework issue
where connection state isn't properly tracked.

Fixes MCP tools failing on second HTTP request in DevUI.

fixes  #1476 #1515 #2865

* fix #1572 report import dependency errors more clearly

* Ensure there is streaming toggle where users can select streaming vs non streaming mode in devui . Fixes .NET: [Python] DevUI tool call rendering in non-streaming mode?

* remove unused dead code

* improve ux - workflows with agents show a chat component in execution timelien, also ensure magentic final output shows correctly

* update ui build

* update devui to use instrumentation instead of tracing, other instrumentation and type/instance check fixes

* .NET: Seal factory contexts and add non JSO deserialize overloads (#3066)

* Seal factory contexts and add non JSO deserialize overloads

* Apply suggestions from code review

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---------

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* Enable blank issues in issue template configuration

Need to re-enable creating blank issues

* updated templates (#3106)

* updated templates

* enabled blank and fixed triage

* made language optional and moved to the bottom for features

* Python: Streaming sample for azurefunctions (#3057)

* Streaming sample for azurefunctions

* Fixed links and sample name

* Addressed feedback

* Addressed feedback

* Fixed integration tests

* Updated test

* Python: fix(azure-ai): Fix response_format handling for structured outputs (#3114)

* fix(azure-ai): read response_format from chat_options instead of run_options

* refactor: use explicit None checks for response_format

* Fix mypy error

* Mypy fix

* Python: Bump python version to 1.0.0b260107 for a release (#3128)

* Bump python version to 1.0.0b260107 for a release

* Update changelog

* Make A2AAgent public, so that it's concrete implementation methods can be used. (#3119)

* .NET: Map additional props <-> A2A metadata (#3137)

* map additional props from agent run options to a2a request metadata

* small touches

* add unit tests for new extension methods

* Sort using

* add unit test

* add additiona unit tests

* special case json element to avoid unnecessary serialization

* Python: Fix Anthropic streaming response bugs (#3141)

* test commit identity

* fix(anthropic): fix raw_representation and finish_reason in streaming

* lint fix

* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.5 to 4.0.5.1 (#2994)

---
updated-dependencies:
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* Bump Anthropic from 12.0.0 to 12.0.1 (#2993)

---
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* .NET: [Breaking] Prevent loss of input messages & streamed updates when resuming streaming (#2748)

* save input messages and stream updates to the continuation token to be able to use them in the last successful stream resumption call.

* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

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* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

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* Update dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs

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* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

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* Update dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgentContinuationToken.cs

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* fix typo

* init continuation token from chat response

* remove unnecessary types for source generation

* remove check for continuation token passed at initial run

* remove check for continuation token pass at initial run

* centralize continuation token parsing

* update xml comments

* use readonly collection instead of enumerable

---------

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* .NET: fix: Expose WorkflowErrorEvent as ErrorContent (#2762)

* fix: Expose WorkflowErrorEvent as ErrorContent

When hosted using .AsAgent(), Workflows were not exposing inner errors coming as Exceptions (through the WorkflowErrorEvent)

The fix is to convert their message to an ErrorContent on the way out, rather than rely on the default "empty update" to collect the raw event.

* feat: Add a way to show/suppress exception information

* Bump Microsoft.Agents.AI.Workflows from 1.0.0-preview.251125.1 to 1.0.0-preview.251219.1 (#2997)

---
updated-dependencies:
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* .NET: Add Run overloads to expose ChatClientAgentRunOptions in IntelliSense (#3115)

* Initial plan

* Add ChatClientAgentExtensions for improved discoverability of ChatClientAgentRunOptions

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* Address code review feedback - use collection expression syntax

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* Apply suggestion from @westey-m

* Fix issues with Copilot implementation

* Add additional tests for structured output overloads.

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* Python: Add tool call/result content types and update connectors and samples (#2971)

* Add new AI content types and image tool support

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* Add Python content types for tool calls/results and image generation tool support

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* Address review feedback for tool content and samples

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* Tighten image generation typing and sample tools list

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* Align image generation output typing

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* Handle MCP naming, image options mapping, and connector tool content

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* Allow MCP call in function approval request

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* Remove raw image_generation tool remapping

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* Restore Anthropic tool_use to function calls unless code execution

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* Fix lint issues for hosted file docstring and MCP parsing

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* Import ChatResponse types in Anthropic client

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* Fix Anthropics citation type imports and MCP typing for handoff/tools

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* Skip lightning tests without agentlightning and fix function call import

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* fix lint on lab package

* rebuilt anthropic parsing

* redid anthropic parsing

* typo

* updated parsing and added missing docstrings

* fix tests

* mypy fixes

* second mypy fix

* add new class to other samples

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* Bump Google.GenAI from 0.6.0 to 0.9.0 (#2995)

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* Bump js-yaml from 4.1.0 to 4.1.1 in /python/packages/devui/frontend (#3123)

Bumps [js-yaml](https://github.com/nodeca/js-yaml) from 4.1.0 to 4.1.1.
- [Changelog](https://github.com/nodeca/js-yaml/blob/master/CHANGELOG.md)
- [Commits](https://github.com/nodeca/js-yaml/compare/4.1.0...4.1.1)

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* Updated package versions (#3144)

* .NET: Bump Microsoft.Agents.AI.OpenAI and Microsoft.Extensions.AI.OpenAI (#2996)

* Bump Microsoft.Agents.AI.OpenAI and Microsoft.Extensions.AI.OpenAI

Bumps Microsoft.Agents.AI.OpenAI from 1.0.0-preview.251125.1 to 1.0.0-preview.251219.1
Bumps Microsoft.Extensions.AI.OpenAI from 10.1.0-preview.1.25608.1 to 10.1.1-preview.1.25612.2

---
updated-dependencies:
- dependency-name: Microsoft.Agents.AI.OpenAI
  dependency-version: 1.0.0-preview.251219.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Extensions.AI.OpenAI
  dependency-version: 10.1.1-preview.1.25612.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Agents.AI.OpenAI
  dependency-version: 1.0.0-preview.251219.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Microsoft.Extensions.AI.OpenAI
  dependency-version: 10.1.1-preview.1.25612.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
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* Fixed samples

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* Python: fix(ag-ui): Execute tools with approval_mode, fix shared state, code cleanup  (#3079)

* fix(ag-ui): execute tools after approval in human-in-the-loop flow

* Fix shared state bug

* Bug fix finalized

* Refactoring to clean up code

* Code cleanup

* More fixes

* More code cleanup

* Add version detection in __init__.py to ruff ignore list

* Track agent name with updates for workflow agent (#3146)

* Python: Fix AzureAIClient tool call bug for AG-UI use (#3148)

* Fiz AzureAIClient tool call bug

* Address copilot feedback

* Revert to match main

* revert file to main

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2026-01-09 15:58:49 -08:00
Laveesh Rohra e3eff65a6b Python: Complete durableagent package (#3058)
* Add worker and clients

* Clean code and refactor common code

* Implement sample

* Add sample

* Update readmes

* Fix tests

* Fix tests

* Update requirements

* Fix typo

* Address comments

* use response.text
2026-01-07 13:53:21 -08:00
Laveesh Rohra a5b36dc379 Python: [Durabletask] Update feature-durabletask-python branch with main (#3068)
* Python: Add factory pattern to concurrent orchestration builder (#2738)

* Add factory pattern to concurrent orchestration builder

* Update readme

* Address AI comments

* Fix unit tests

* Fix import

* Prevent multiple calls to set participants or factories

* Add comments

* Mitigate warnings

* Fix mypy

* Address comments

* Address Copilot comments

* Fix tests

* Python: fix: GroupChat ManagerSelectionResponse JSON Schema for OpenAI Structured Outpu… (#2750)

* fix: ManagerSelectionResponse JSON Schema for OpenAI Structured Output Strict Mode

* refactor: install pre-commit then commit again

* Capture file IDs from code interpreter in streaming responses (#2741)

* .NET: [BREAKING] Prevent nulls in AIAgent property (#2719)

* prevent nulls in AIAgent property

* address feedback

* code ql sm04598 (#2723)

Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com>

* .NET: Add Conversation State Sample (Step05) (#2697)

* Initial plan

* Add Agent_OpenAI_Step05_Conversation sample for conversation state management

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* Update Program.cs comment to accurately describe the sample

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* Update the code to use the ConversationClient more in line with the samples in OpenAI

* Apply suggestions from code review

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* Changing sample to use ChatClientAgent and conversationId in GetNewThread

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* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.7 to 4.0.4.11 (#2777)

---
updated-dependencies:
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* Bump Azure.Identity from 1.17.0 to 1.17.1 (#2780)

---
updated-dependencies:
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2778)

---
updated-dependencies:
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Python: added more complete parsing for mcp tool arguments (#2756)

* added more complete parsing for mcp tool arguments

* fixed mypy

* added nonlocal model counter, and some fixes

* fixes in naming logic

* extracted json parsing function, added parametrized test and checked coverage

* Python: Updated package versions (#2784)

* Updated package versions

* Small fix

* Bump actions/checkout from 5 to 6 (#2404)

Bumps [actions/checkout](https://github.com/actions/checkout) from 5 to 6.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v5...v6)

---
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* .NET: adds support for labels in edges,  fixes rendering of labels in dot a… (#1507)

* adds support for labels in edges,  fixes rendering of labels in dot and mermaid, adds rendering of labels in edges

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* escaping edge labels, adding tests for labels containing strange characters that would break the diagram and enabling the previous signature so the API has backwards compatibility.

* Unify label in EdgeData

* Edge API adjustments, removed useless "sanitizer"

* fixed test

---------

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* Python: Added custom args and thread object to ai_function kwargs (#2769)

* Added an example of using kwargs in ai_function

* Added thread object to ai_function kwargs

* Updated docs

* Small fix

* Added thread parameter filtering

* Fix WorkflowAgent to include thread convo history. Enable checkpointing. (#2774)

* Update OpenAIResponses.yaml to match AgentSchema (#2598)

1. Update `connection` child types --  `kind: ApiKey` to `kind: key` otherwise schema will fail: https://microsoft.github.io/AgentSchema/reference/apikeyconnection/

2.  Update `outputSchema`'s `PropertySchema` to be `kind` instead of `type` otherwise schema will fail: https://microsoft.github.io/AgentSchema/reference/propertyschema/

* Python: Remove warnings from workflow builder on not using factories (#2808)

* Revert concurrent

* Fix comments

* Python: Filter framework kwargs from MCP tool invocations (#2870)

* Filter framework kwargs from MCP tool invocations

* Fixes

* Python: Fix WorkflowAgent to emit yield_output as agent response (#2866)

* Fix WorkflowAgent to emit yield_output as agent response

* use raw_representation

* Raw representation handling

* Python: Use agent description in HandoffBuilder auto-generated tools (#2713) (#2714)

## Summary
Enhanced `HandoffBuilder._apply_auto_tools` to use the target agent's
description when creating handoff tools, providing more informative tool
descriptions for LLMs.

## Changes
- Modified `_apply_auto_tools` to extract `description` from
  `AgentExecutor._agent` when available
- Updated iteration to use `.items()` for more efficient dict traversal
- Handoff tools now use agent descriptions instead of generic placeholders

## Example
Before: "Handoff to the refund_agent agent."
After: "You handle refund requests. Ask for order details and process refunds."

## Testing
- All handoff tests pass (20/20)
- No breaking changes to existing API

Fixes #2713

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* Python: [BREAKING] Observability updates (#2782)

* fixes Python: Add env_file_path parameter to setup_observability() similar to AzureOpenAIChatClient
Fixes #2186

* WIP on updates using configure_azure_monitor

* improved setup and clarity

* fixed root .env.example

* revert changes

* updated files

* updated sample

* updated zero code

* test fixes and fixed links

* fix devui

* removed planning docs

* added enable method and updated readme and samples

* clarified docstring

* add return annotation

* updated naming

* update capatilized version

* updated readme and some fixes

* updated decorator name inline with the rest

* feedback from comments addressed

* Python: Fix middleware terminate flag to exit function calling loop immediately (#2868)

* Fix middleware terminate flag to exit function calling loop immediately

* Eliminating duck typing

* Improve function exec result handling

* Fix race condition

* Fix mypy issues

* Python: Fix context duplication in handoff workflows when restoring from checkpoint (#2867)

* Fix context duplication in handoff workflows when restoring from checkpoint

* Address Copilot PR review

* .NET: Update to latest Azure.AI.*, OpenAI, and M.E.AI* (#2850)

* Update to latest Azure.AI.*, OpenAI, and M.E.AI*

Absorb breaking changes in Responses surface area

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

* Update dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs

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* Using patch to remove the model is necessary, updated the response client to actually use the the ForAgent

---------

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* Bump actions/download-artifact from 6 to 7 (#2862)

Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 6 to 7.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v6...v7)

---
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  dependency-version: '7'
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  update-type: version-update:semver-major
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* Bump actions/cache from 4 to 5 (#2861)

Bumps [actions/cache](https://github.com/actions/cache) from 4 to 5.
- [Release notes](https://github.com/actions/cache/releases)
- [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md)
- [Commits](https://github.com/actions/cache/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/cache
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Bump actions/upload-artifact from 5 to 6 (#2860)

Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 5 to 6.
- [Release notes](https://github.com/actions/upload-artifact/releases)
- [Commits](https://github.com/actions/upload-artifact/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/upload-artifact
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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* Python : Ollama Connector for Agent Framework (#1104)

* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

* remove"opentelemetry-semantic-conventions-ai ~=0.4.13" since its handled in a different pr

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

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* Update python/packages/ollama/pyproject.toml

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* Update python/packages/ollama/tests/test_ollama_chat_client.py

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* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

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* Improved Docstrings & Sample

* Update python/packages/ollama/agent_framework_ollama/_chat_client.py

Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Integrate PR Feedback
- Divided Streaming and Non-Streaming into independent Methods
- Catch Ollama Validation Error
- Add OTEL Provider Name
- Checked Ollama Messages
- Add Usage Statistics

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

* Update python/samples/getting_started/multimodal_input/ollama_chat_multimodal.py

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* Integrated Copilot Feedback

* Implement first PR Feedback

* Adjust Readme files for examples

* Adjust argument passing via additional chat options

* Implemented PR Feedback

* Removing Ollama Package from Core and moving samples

* Fix Link & Adding Samples to Main Sample Readme

* Fixing Links in Readme

* Moved Multimodal and Chat Example

* Fixed Link in ChatClient to Ollama

* Fix AgentFramework Links in Ollama Project

* Fix observability breaking change

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Skip failing IT (#2904)

* .NET: Cosmos DB UT Fast Skip (For Non-Configured Local envs) (#2906)

* Cosmos DB UT Fast Skip (Non-Configured Local envs) + Long running UT skip in pipeline when no CosmosDB changes happened

* Force a CosmosDB source code change to trigger the pipeline

* Address possible string boolean mismatch

* Add debug

* Enabling emulator always when running IT

* .NET: Add TTLs to durable agent sessions (#2679)

* .NET: Add TTLs to durable agent sessions

* Remove unnecessary async

* PR feedback: clarify UTC

* PR feedback: limit minimum signal delay to <= 5 minutes

* PR feedback: Fix TTL disablement

* Linter: use auto-property

* Fix build break from OpenAI SDK change

* Updated CHANGELOG.md

* PR feedback

* Reduce default TTL to 14 days to work around DTS bug

* Python:  Update Mem0Provider to use v2 search API `filters` parameter (#2766)

* short fix to move id parameters to filters object

* added tests

* small fix

* mem0 dependency update

* Updated package versions (#2913)

* .NET: Switch to new "Run" method name. (#2843)

* Switch to new "RunAgent" method name.

* Try to disable false positive naming warning.

* Add comment about disabled warnings.

* Rename `RunAgent` to just `Run`.

* Update CHANGELOG.

* Python: Switch to new "run" method name. (#2890)

* Switch to `run` method.

* Add support for deprecated `run_agent`.

* Fix entity method name.

* Fix method name and improve tests.

* Update comment.

* Update Python CHANGELOG.

* [BREAKING] Python: Add factory pattern to handoff orchestration builder (#2844)

* WIP: Factory pattern to handoff

* Add factory pattern to concurrent orchestration builder; Next: tests and sample verification

* Add tests and improve comments

* Fix mypy

* Simplify handoff_simple.py

* Simplify handoff_autonoumous.py and bug fix

* Update readme

* Address Copilot comments

* Python: Flow custom kwargs to agents via Workflow SharedState (#2894)

* Flow custom kwargs to agents via SharedState

* Address Copilot feedback

* Improve sample typing

* Fix test

* Fix Pydantic error when using Literal type for tool params (#2893)

* Updated Ollama package version (#2920)

* Python: Azure AI Agent with Bing Grounding Citations Sample (#2892)

* bing grounding sample with citations

* small fix

* fix

* .NET: Make DelegatingAIAgent abstract (#2797)

* Initial plan

* Make DelegatingAIAgent abstract

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

---------

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* Added additional arguments for Azure AI agent (#2922)

* Python: Correction of MCP image type conversion in  _mcp.py (#2901)

* Correction of MCP image type conversion in  _mcp.py

* Added a new overload to the init function of the DataContent() type of the Agent Framework, edited the test case to correctly test the usage of the data and uri fields while using DataContent()

* Fixed tests related to the changes of the DataContent type, added testing for both string and byte representations

* Pass kwargs into subworkflows (#2923)

* Python: Move ollama samples to samples getting started dir (#2921)

* Move ollama samples to samples getting started dir

* Address feedback

* Python: fix: correct BadRequestError when using Pydantic model in response_fo… (#1843)

* fix: correct BadRequestError when using Pydantic model in response_format

* Fix lint

---------

Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>

* .NET: [Breaking] Delete display name property (#2758)

* delete the AIAgent.DisplayName property

* use agent name as a first value for activity display name

* Update dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffAgentExecutor.cs

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

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* Python: cleanup and refactoring of chat clients (#2937)

* refactoring and unifying naming schemes of internal methods of chat clients

* set tool_choice to auto

* fix for mypy

* added note on naming and fix #2951

* fix responses

* fixes in azure ai agents client

* Python: Workflow add option to visualize internal executors (#2917)

* Workflow add option to visualize internal executors

* Address Copilot comments

* Python: Fixes Run ID and Thread ID casing to align with AG-UI Typescript SDK (#2948)

* added camelCase input to run id and thread id aligning with @ag-ui/core

* fixed per copilot suggestions

* Python: Add workflow cancellation sample (#2732)

* Add workflow cancellation sample

Add sample demonstrating how to cancel a running workflow using asyncio
tasks. Shows both cancellation mid-execution and normal completion paths.
Useful for implementing timeouts, graceful shutdown, or A2A executors.

* update docstring

* .NET: Update Anthropic package to version 12.0.0 (#2914)

* Initial plan

* Update Anthropic package to version 12.0.0

Co-authored-by: stephentoub <2642209+stephentoub@users.noreply.github.com>

---------

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* Python: Add Azure Managed Redis Support with Credential Provider (#2887)

* azure redis support

* small fixes

* azure managed redis sample

* fixes

* Bump CommunityToolkit.Aspire.OllamaSharp from 13.0.0-beta.440 to 13.0.0 (#2856)

---
updated-dependencies:
- dependency-name: CommunityToolkit.Aspire.OllamaSharp
  dependency-version: 13.0.0
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.11 to 4.0.5 (#2853)

---
updated-dependencies:
- dependency-name: AWSSDK.Extensions.Bedrock.MEAI
  dependency-version: 4.0.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2854)

---
updated-dependencies:
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.AI.AgentServer.AgentFramework
  dependency-version: 1.0.0-beta.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Python: Fix WorkflowAgent event handling and kwargs forwarding (#2946)

* Fix kwargs propagation through workflow.as_agent()

* Fix WorkflowAgent to respect AgentExecutor output_response setting

* .NET: Use GrpcEntityRunner instead of TaskEntityDispatcher (#2759)

* Use GrpcEntityRunner instead of TaskEntityDispatcher

* Pin to Durable worker 1.11.0

* Set the invocation result

* Update all Durable packages

* Update changelog, rename dispatcher to encondedEntityRequest

* Python: Bump Py version to 1.0.0b251218 for a release. Update CHANGELOG (#2968)

* Bump Py version to 1.0.0b251218 for a release. Update CHANGELOG

* update lock

* Fix formatting

* Fix ChatKit typing

* Python: Introducing Foundry Local Chat Clients (#2915)

* redo foundry local chat client

* fix mypy and spelling

* better docstring, updated sample

* fixed tests and added tests

* small sample update

* Updated package versions (#2978)

* Python: Added GitHub MCP sample with PAT (#2967)

* added github mcp sample with PAT

* addressed copilot fixes

* env fix

* Python: Preserve reasoning blocks with OpenRouter (#2950)

* Preserve reasoning blocks with OpenRouter

* Put encrypted reasoning in TextReasoningContent

* Remove unneccessary change

* Fix docs

* Support streaming

* Fix handling None in TextReasoningContent.text

* Python: Added response.created and response.in_progress event process to OpenAIBaseResponseClient (#2975)

* added response.created and response.in_progress to include response.id

* better doc string

* added tests for the new streaming event types

* Python: Introducing support for Bedrock-hosted models (Anthropic, Cohere, etc.) (#2610)

* Pushing the bedrock related changes to the new branch after addressing the review comments

* 2524 Addressed the second round review comments

* 2524 Addressed few more minor comments on the PR

* resolving the merge conflict

* 2524 resolved the uv.lock conflicts

* 2524 addressed more comments

* 2524 removed the print statement to fix the checks failure

* 2524 resolved the CI failure issues

* 2524 fixing the CI breaks

* 2524 Addressed the review comment

* 2524 resolved conflict

---------

Co-authored-by: Sunil Dutta <sunil.dutta@penske.com>
Co-authored-by: budgetboardingai <apurva.sharma31@gmail.com>

* .NET: [Durable Agents] Reliable streaming sample (#2942)

* .NET: [Durable Agents] Reliable streaming sample

* Add automated validation for new sample

* Address Copilot PR feedback

* Fix typo in README.md about agent definitions (#2634)

* Fix typo in README.md about agent definitions

* Update agent-samples/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Python: latency improvements (#3014)

* latency improvements

* fixed mypy, added coding standards and instructions

* slight logic improvement

* Python: Updated package versions (#3024)

* Updated package versions

* Updated changelog

* Python: add powerfx safe mode (#3028)

* add powerfx safe mode

* improved docstring and aligned env_file loading

* ensured test uses reset

* .NET: [Breaking] Introduce RunCoreAsync/RunCoreStreamingAsync delegation pattern in AIAgent (#2749)

* Initial plan

* Refactor AIAgent: Make RunAsync and RunStreamingAsync non-abstract, add RunCoreAsync and RunCoreStreamingAsync

Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>

* Fix infinite recursion in test implementations

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* Make RunAsync and RunStreamingAsync non-virtual as requested

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* Fix DelegatingAIAgent subclasses to use RunCoreAsync/RunCoreStreamingAsync

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* Fix XML documentation references in AnonymousDelegatingAIAgent

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* Restore <see cref> tags with proper qualified signatures in AnonymousDelegatingAIAgent

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* Rollback unnecessary XML documentation changes in AnonymousDelegatingAIAgent

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* Remove pragma and update crefs to RunCoreAsync/RunCoreStreamingAsync

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* Fix EntityAgentWrapper to call base.RunCoreAsync/RunCoreStreamingAsync

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* fix compilation issues

* fix compilatio issue

* fix tests

* fix unit tests

* fix unit test

---------

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* Remove from feature branch

* Remove ollama changes

---------

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2026-01-02 13:13:37 -08:00
Laveesh Rohra a02527f00a Python: Add Entity State Providers for DurableTask Package (#2981)
* Add Entity State Providers

* address comments

* Fix tests

* Fix tests

* Revert unrelated changes and remove thread_id

* Revert unrelated files
2025-12-22 12:54:24 -08:00
Laveesh Rohra 87a38bc7da Python: Rebase durable task feature branch with main (#2806) 2025-12-17 14:02:36 -08:00
Laveesh Rohra a48a8dd524 Python: Add initial scaffold for durabletask package (#2761)
* Add initial scaffold

* Update design

* Fix mypy and update design

* add additional style considered

* Address comments

* Fix test

* Update readmes
2025-12-17 12:46:08 -08:00
5674 changed files with 207598 additions and 670453 deletions
+2 -6
View File
@@ -1,19 +1,15 @@
{
"name": "Python 3",
"image": "mcr.microsoft.com/devcontainers/python:3.14-bookworm",
"image": "mcr.microsoft.com/devcontainers/python:3.13-bullseye",
"features": {
"ghcr.io/va-h/devcontainers-features/uv:1": {},
"ghcr.io/devcontainers/features/docker-in-docker:3": {},
"ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
"ghcr.io/devcontainers/features/copilot-cli:1": {}
"ghcr.io/devcontainers/features/azure-cli:1.2.8": {}
},
"postCreateCommand": "bash ./devsetup.sh",
"workspaceFolder": "/workspaces/agent-framework/python/",
"customizations": {
"vscode": {
"extensions": [
"GitHub.copilot",
"GitHub.vscode-github-actions",
"ms-python.python",
"ms-windows-ai-studio.windows-ai-studio",
"littlefoxteam.vscode-python-test-adapter"
+5 -20
View File
@@ -1,31 +1,16 @@
{
"name": "C# (.NET)",
"image": "mcr.microsoft.com/devcontainers/dotnet",
"image": "mcr.microsoft.com/devcontainers/dotnet:10.0",
"features": {
"ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
"ghcr.io/devcontainers/features/docker-in-docker:2": {},
"ghcr.io/devcontainers/features/github-cli:1": {
"version": "2"
},
"ghcr.io/devcontainers/features/powershell:1": {
"version": "latest"
},
"ghcr.io/azure/azure-dev/azd:0": {
"version": "latest"
},
"ghcr.io/devcontainers/features/dotnet:2": {
"version": "none",
"dotnetRuntimeVersions": "10.0",
"aspNetCoreRuntimeVersions": "10.0"
},
"ghcr.io/devcontainers/features/copilot-cli:1": {}
"ghcr.io/devcontainers/features/dotnet:2.4.0": {},
"ghcr.io/devcontainers/features/powershell:1.5.1": {},
"ghcr.io/devcontainers/features/azure-cli:1.2.8": {},
"ghcr.io/devcontainers/features/docker-in-docker:2.12.4": {}
},
"workspaceFolder": "/workspaces/agent-framework/dotnet/",
"customizations": {
"vscode": {
"extensions": [
"GitHub.copilot",
"GitHub.vscode-github-actions",
"ms-dotnettools.csdevkit",
"vscode-icons-team.vscode-icons",
"ms-windows-ai-studio.windows-ai-studio"
+1 -6
View File
@@ -8,7 +8,7 @@ ignorePatterns:
- pattern: "./blob"
- pattern: "./issues"
- pattern: "./discussions"
- pattern: "./pull"
- pattern: "./pulls"
- pattern: "https:\/\/platform.openai.com"
- pattern: "http:\/\/localhost"
- pattern: "http:\/\/127.0.0.1"
@@ -20,11 +20,6 @@ ignorePatterns:
- pattern: "https://your-resource.openai.azure.com/"
- pattern: "http://host.docker.internal"
- pattern: "https://openai.github.io/openai-agents-js/openai/agents/classes/"
# dotnet.microsoft.com bot-blocks CI link checkers with intermittent 403s on any
# path (including localized variants like /en-us/download/...), so ignore the
# whole domain rather than just /download.
- pattern: "https:\/\/dotnet.microsoft.com"
- pattern: "https://github.com/Rel1cx/eslint-react"
# excludedDirs:
# Folders which include links to localhost, since it's not ignored with regular expressions
baseUrl: https://github.com/microsoft/agent-framework/
-3
View File
@@ -2,6 +2,3 @@
# https://docs.github.com/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
python/packages/azurefunctions/ @microsoft/agentframework-durabletask-developers
python/packages/durabletask/ @microsoft/agentframework-durabletask-developers
python/samples/getting_started/azure_functions/ @microsoft/agentframework-durabletask-developers
python/samples/getting_started/durabletask/ @microsoft/agentframework-durabletask-developers
+1 -1
View File
@@ -1,7 +1,7 @@
name: .NET Bug Report
description: Report a bug in the Agent Framework .NET SDK
title: ".NET: [Bug]: "
labels: [".NET"]
labels: ["bug", ".NET"]
type: bug
body:
- type: textarea
+2 -2
View File
@@ -1,7 +1,7 @@
name: Python Bug Report
description: Report a bug in the Agent Framework Python SDK
title: "Python: [Bug]: "
labels: ["Python"]
labels: ["bug", "Python"]
type: bug
body:
- type: textarea
@@ -47,7 +47,7 @@ body:
attributes:
label: Package Versions
description: List the agent-framework-* packages and versions you are using
placeholder: "e.g., agent-framework-core: 1.0.0, agent-framework-foundry: 1.0.0"
placeholder: "e.g., agent-framework-core: 1.0.0, agent-framework-azure-ai: 1.0.0"
validations:
required: true
@@ -1,64 +0,0 @@
name: Free runner disk space
description: |
Reclaims disk space on GitHub-hosted Ubuntu runners by removing
pre-installed toolchains we do not use (Android SDK, GHC/Haskell,
CodeQL bundle), Docker images, and swap. Also relocates the
NuGet package cache to /mnt (which has ~75 GB free vs ~14 GB
on /). No-op on non-Linux runners.
runs:
using: composite
steps:
- name: Free disk space (Linux only)
if: runner.os == 'Linux'
shell: bash
run: |
set -euo pipefail
echo "::group::Disk usage before cleanup"
df -h /
echo "::endgroup::"
# Remove pre-installed toolchains we never use on this repo's
# dotnet/python jobs. These reclaim ~25-30 GB on ubuntu-latest.
sudo rm -rf \
/usr/local/lib/android \
/usr/share/dotnet/sdk/NuGetFallbackFolder \
/opt/ghc \
/usr/local/.ghcup \
/opt/hostedtoolcache/CodeQL \
/opt/hostedtoolcache/PyPy \
/opt/hostedtoolcache/Ruby \
/opt/hostedtoolcache/go \
/usr/local/share/boost \
/usr/local/share/powershell \
/usr/local/share/chromium \
/usr/local/share/vcpkg \
/usr/local/lib/heroku \
"${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/PyPy" \
"${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/Ruby" \
"${AGENT_TOOLSDIRECTORY:-/opt/hostedtoolcache}/go" || true
# Drop docker images shipped on the runner; jobs that need
# docker pull what they need fresh.
if command -v docker >/dev/null 2>&1; then
sudo docker image prune --all --force >/dev/null 2>&1 || true
fi
# Disable swap to free its backing file.
sudo swapoff -a || true
sudo rm -f /mnt/swapfile /swapfile || true
echo "::group::Disk usage after cleanup"
df -h /
echo "::endgroup::"
- name: Relocate NuGet package cache to /mnt (Linux only)
if: runner.os == 'Linux'
shell: bash
run: |
set -euo pipefail
sudo mkdir -p /mnt/nuget
sudo chown -R "$USER":"$USER" /mnt/nuget
echo "NUGET_PACKAGES=/mnt/nuget" >> "$GITHUB_ENV"
echo "Relocated NuGet package cache to /mnt/nuget"
df -h /mnt || true
-112
View File
@@ -1,112 +0,0 @@
name: Get GitHub automation token
description: Creates a GitHub App installation token with a temporary PAT fallback
inputs:
mode:
description: Authentication mode (app, app-with-fallback, or pat)
required: false
default: app-with-fallback
azure-client-id:
description: Client ID of the Azure workload identity
required: false
azure-tenant-id:
description: Azure tenant ID
required: false
azure-subscription-id:
description: Azure subscription containing the Key Vault
required: false
key-vault-name:
description: Azure Key Vault name
required: false
key-name:
description: Key Vault key used to sign the GitHub App JWT
required: false
github-app-client-id:
description: GitHub App client ID
required: false
github-app-installation-id:
description: GitHub App installation ID
required: false
repository:
description: Repository to include in the installation token
required: false
fallback-token:
description: PAT used temporarily when app authentication is unavailable
required: false
outputs:
token:
description: GitHub App installation token or fallback PAT
value: ${{ steps.select-token.outputs.token }}
source:
description: Selected authentication source
value: ${{ steps.select-token.outputs.source }}
runs:
using: composite
steps:
- name: Validate authentication mode
shell: bash
env:
AUTH_MODE: ${{ inputs.mode || 'app-with-fallback' }}
run: |
if [[ "$AUTH_MODE" != "app" && "$AUTH_MODE" != "app-with-fallback" && "$AUTH_MODE" != "pat" ]]; then
echo "::error::Unsupported GitHub authentication mode."
exit 1
fi
- name: Sign in to Azure
id: azure-login
if: ${{ (inputs.mode || 'app-with-fallback') != 'pat' }}
continue-on-error: true
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ inputs.azure-client-id }}
tenant-id: ${{ inputs.azure-tenant-id }}
subscription-id: ${{ inputs.azure-subscription-id }}
- name: Create GitHub App installation token
id: app-token
if: ${{ (inputs.mode || 'app-with-fallback') != 'pat' && steps.azure-login.outcome == 'success' }}
continue-on-error: true
shell: bash
env:
AZURE_SUBSCRIPTION_ID: ${{ inputs.azure-subscription-id }}
KEY_VAULT_NAME: ${{ inputs.key-vault-name }}
KEY_NAME: ${{ inputs.key-name }}
GITHUB_APP_CLIENT_ID: ${{ inputs.github-app-client-id }}
GITHUB_APP_INSTALLATION_ID: ${{ inputs.github-app-installation-id }}
TARGET_REPOSITORY: ${{ inputs.repository }}
run: |
token="$(node "$GITHUB_ACTION_PATH/create-token.js")"
echo "::add-mask::$token"
echo "token=$token" >> "$GITHUB_OUTPUT"
- name: Select authentication token
id: select-token
shell: bash
env:
AUTH_MODE: ${{ inputs.mode || 'app-with-fallback' }}
APP_TOKEN: ${{ steps.app-token.outputs.token }}
FALLBACK_TOKEN: ${{ inputs.fallback-token }}
run: |
if [[ "$AUTH_MODE" != "pat" && -n "$APP_TOKEN" ]]; then
token="$APP_TOKEN"
source="app"
echo "::notice::GitHub authentication source: app"
elif [[ "$AUTH_MODE" == "app-with-fallback" && -n "$FALLBACK_TOKEN" ]]; then
token="$FALLBACK_TOKEN"
source="pat-fallback"
echo "::warning::GitHub authentication source: PAT fallback"
elif [[ "$AUTH_MODE" == "pat" && -n "$FALLBACK_TOKEN" ]]; then
token="$FALLBACK_TOKEN"
source="pat-forced"
echo "::warning::GitHub authentication source: PAT (forced rollout mode)"
else
echo "::error::GitHub App authentication is unavailable and no fallback PAT was provided."
exit 1
fi
echo "::add-mask::$token"
echo "token=$token" >> "$GITHUB_OUTPUT"
echo "source=$source" >> "$GITHUB_OUTPUT"
@@ -1,133 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
const crypto = require('node:crypto');
const { execFileSync } = require('node:child_process');
function base64Url(value) {
return Buffer.from(value).toString('base64url');
}
function base64ToBase64Url(value) {
return Buffer.from(value, 'base64').toString('base64url');
}
function createJwtSigningInput(clientId, nowSeconds) {
const header = base64Url(JSON.stringify({ alg: 'RS256', typ: 'JWT' }));
const payload = base64Url(JSON.stringify({
iat: nowSeconds - 60,
exp: nowSeconds + 540,
iss: clientId,
}));
return `${header}.${payload}`;
}
function signJwt(signingInput, config, execute = execFileSync) {
const digest = crypto.createHash('sha256').update(signingInput).digest('base64');
const signature = execute(
'az',
[
'keyvault', 'key', 'sign',
'--subscription', config.azureSubscriptionId,
'--vault-name', config.keyVaultName,
'--name', config.keyName,
'--algorithm', 'RS256',
'--digest', digest,
'--query', 'signature',
'--output', 'tsv',
'--only-show-errors',
],
{ encoding: 'utf8' },
).trim();
if (!signature) {
throw new Error('Key Vault returned an empty signature.');
}
return `${signingInput}.${base64ToBase64Url(signature)}`;
}
async function createInstallationToken(config, dependencies = {}) {
const execute = dependencies.execute ?? execFileSync;
const request = dependencies.fetch ?? fetch;
const nowSeconds = dependencies.nowSeconds ?? Math.floor(Date.now() / 1000);
const repositoryParts = config.targetRepository.split('/');
if (repositoryParts.length !== 2 || repositoryParts.some((part) => part.length === 0)) {
throw new Error('TARGET_REPOSITORY must use the owner/repository format.');
}
const [, repository] = repositoryParts;
const signingInput = createJwtSigningInput(config.githubAppClientId, nowSeconds);
const jwt = signJwt(signingInput, config, execute);
const response = await request(
`https://api.github.com/app/installations/${config.githubAppInstallationId}/access_tokens`,
{
method: 'POST',
headers: {
Accept: 'application/vnd.github+json',
Authorization: `Bearer ${jwt}`,
'X-GitHub-Api-Version': '2022-11-28',
},
body: JSON.stringify({
repositories: [repository],
permissions: {
contents: 'read',
issues: 'write',
members: 'read',
pull_requests: 'write',
},
}),
},
);
if (!response.ok) {
throw new Error(`GitHub installation token request failed with HTTP ${response.status}.`);
}
const result = await response.json();
if (typeof result.token !== 'string' || result.token.length === 0) {
throw new Error('GitHub returned an empty installation token.');
}
return result.token;
}
function readConfig(environment) {
const config = {
azureSubscriptionId: environment.AZURE_SUBSCRIPTION_ID,
keyVaultName: environment.KEY_VAULT_NAME,
keyName: environment.KEY_NAME,
githubAppClientId: environment.GITHUB_APP_CLIENT_ID,
githubAppInstallationId: environment.GITHUB_APP_INSTALLATION_ID,
targetRepository: environment.TARGET_REPOSITORY,
};
if (Object.values(config).some((value) => !value)) {
throw new Error('Required GitHub App authentication configuration is missing.');
}
return config;
}
async function main() {
try {
const token = await createInstallationToken(readConfig(process.env));
process.stdout.write(token);
} catch {
console.error('GitHub App token generation failed.');
process.exitCode = 1;
}
}
if (require.main === module) {
void main();
}
module.exports = {
base64ToBase64Url,
createInstallationToken,
createJwtSigningInput,
readConfig,
signJwt,
};
+2 -26
View File
@@ -8,42 +8,18 @@ inputs:
os:
description: The operating system to set up
required: true
exclude-packages:
description: Space-separated list of packages to exclude from uv sync
required: false
default: ''
runs:
using: "composite"
steps:
- name: Set up uv
uses: astral-sh/setup-uv@11f9893b081a58869d3b5fccaea48c9e9e46f990 # v8.3.2
uses: astral-sh/setup-uv@v6
with:
version-file: "python/pyproject.toml"
enable-cache: true
cache-suffix: ${{ inputs.os }}-${{ inputs.python-version }}
cache-dependency-glob: "**/uv.lock"
- name: Exclude incompatible workspace packages
if: ${{ inputs.exclude-packages != '' }}
shell: bash
run: |
for pkg in ${{ inputs.exclude-packages }}; do
for f in python/packages/*/pyproject.toml; do
if grep -q "name = \"$pkg\"" "$f"; then
pkg_dir=$(dirname "$f" | sed 's|python/||')
echo "Excluding workspace package: $pkg ($pkg_dir)"
if awk '/^\[tool\.uv\.workspace\]/{f=1;next} /^\[/{f=0} f && /^exclude = \[/{found=1} END{exit !found}' python/pyproject.toml; then
if ! awk '/^\[tool\.uv\.workspace\]/{f=1;next} /^\[/{f=0} f && /^exclude = \[/ && index($0, "\"'"$pkg_dir"'\"")' python/pyproject.toml | grep -q .; then
sed -i.bak '/\[tool\.uv\.workspace\]/,/^\[/ { /^exclude = \[/ s|\]|, "'"$pkg_dir"'"]| }' python/pyproject.toml
fi
else
sed -i.bak '/\[tool\.uv\.workspace\]/a\exclude = ["'"$pkg_dir"'"]' python/pyproject.toml
fi
sed -i.bak '/'"$pkg"' = { workspace = true }/d' python/pyproject.toml
fi
done
done
- name: Install the project
shell: bash
run: |
cd python && uv sync --all-packages --all-extras --all-groups --prerelease=if-necessary-or-explicit
cd python && uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit
@@ -1,50 +0,0 @@
name: Sample Validation Setup
description: Sets up the environment for sample validation (checkout, Node.js, Copilot CLI, Azure login, Python)
inputs:
azure-client-id:
description: Azure Client ID for OIDC login
required: true
azure-tenant-id:
description: Azure Tenant ID for OIDC login
required: true
azure-subscription-id:
description: Azure Subscription ID for OIDC login
required: true
python-version:
description: The Python version to set up
required: false
default: "3.12"
os:
description: The operating system to set up
required: false
default: "Linux"
runs:
using: "composite"
steps:
- name: Set up Node.js environment
uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6
with:
node-version: 22
- name: Install Copilot CLI
shell: bash
run: npm install -g @github/copilot
- name: Test Copilot CLI
shell: bash
run: copilot --version && copilot -p "What can you do in one sentence?"
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ inputs.azure-client-id }}
tenant-id: ${{ inputs.azure-tenant-id }}
subscription-id: ${{ inputs.azure-subscription-id }}
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ inputs.python-version }}
os: ${{ inputs.os }}
@@ -1,166 +0,0 @@
name: Setup Local MCP Server
description: Start and validate a local streamable HTTP MCP server for integration tests
inputs:
fallback_url:
description: Existing LOCAL_MCP_URL value to keep as a fallback if local startup fails
required: false
default: ''
host:
description: Host interface to bind the local MCP server
required: false
default: '127.0.0.1'
port:
description: Port to bind the local MCP server
required: false
default: '8011'
mount_path:
description: Mount path for the local streamable HTTP MCP endpoint
required: false
default: '/mcp'
outputs:
effective_url:
description: Local MCP URL when startup succeeds, otherwise the provided fallback URL
value: ${{ steps.start.outputs.effective_url }}
local_url:
description: URL of the local MCP server
value: ${{ steps.start.outputs.local_url }}
started:
description: Whether the local MCP server started and passed validation
value: ${{ steps.start.outputs.started }}
pid:
description: PID of the local MCP server process when startup succeeded
value: ${{ steps.start.outputs.pid }}
runs:
using: composite
steps:
- name: Start and validate local MCP server
id: start
shell: bash
run: |
set -euo pipefail
host="${{ inputs.host }}"
port="${{ inputs.port }}"
mount_path="${{ inputs.mount_path }}"
fallback_url="${{ inputs.fallback_url }}"
if [[ ! "$mount_path" =~ ^/ ]]; then
mount_path="/$mount_path"
fi
local_url="http://${host}:${port}${mount_path}"
health_url="http://${host}:${port}/healthz"
log_file="$RUNNER_TEMP/local-mcp-server.log"
pid_file="$RUNNER_TEMP/local-mcp-server.pid"
rm -f "$log_file" "$pid_file"
server_pid="$(
python3 - "$GITHUB_WORKSPACE/python" "$log_file" "$host" "$port" "$mount_path" <<'PY'
from __future__ import annotations
import subprocess
import sys
workspace, log_file, host, port, mount_path = sys.argv[1:]
with open(log_file, "w", encoding="utf-8") as log:
process = subprocess.Popen(
[
"uv",
"run",
"python",
"scripts/local_mcp_streamable_http_server.py",
"--host",
host,
"--port",
port,
"--mount-path",
mount_path,
],
cwd=workspace,
stdout=log,
stderr=subprocess.STDOUT,
start_new_session=True,
)
print(process.pid)
PY
)"
echo "$server_pid" > "$pid_file"
started=false
for _ in $(seq 1 30); do
if curl --silent --fail "$health_url" >/dev/null; then
started=true
break
fi
if ! kill -0 "$server_pid" 2>/dev/null; then
break
fi
sleep 1
done
if [[ "$started" == "true" ]]; then
if ! (
cd "$GITHUB_WORKSPACE/python"
LOCAL_MCP_URL="$local_url" uv run python - <<'PY'
from __future__ import annotations
import asyncio
import os
from agent_framework import Content, MCPStreamableHTTPTool
def result_to_text(result: str | list[Content]) -> str:
if isinstance(result, str):
return result
return "\n".join(content.text for content in result if content.type == "text" and content.text)
async def main() -> None:
tool = MCPStreamableHTTPTool(
name="local_ci_mcp",
url=os.environ["LOCAL_MCP_URL"],
approval_mode="never_require",
)
async with tool:
assert tool.functions, "Local MCP server did not expose any tools."
result = result_to_text(await tool.functions[0].invoke(query="What is Agent Framework?"))
assert result, "Local MCP server returned an empty response."
asyncio.run(main())
PY
); then
started=false
fi
fi
effective_url="$local_url"
pid="$server_pid"
if [[ "$started" != "true" ]]; then
effective_url="$fallback_url"
pid=""
if kill -0 "$server_pid" 2>/dev/null; then
kill -TERM -- "-$server_pid" 2>/dev/null || kill -TERM "$server_pid" || true
sleep 1
kill -KILL -- "-$server_pid" 2>/dev/null || kill -KILL "$server_pid" || true
fi
echo "Local MCP server was unavailable; continuing with fallback LOCAL_MCP_URL."
if [[ -f "$log_file" ]]; then
tail -n 100 "$log_file" || true
fi
else
echo "Using local MCP server at $local_url"
fi
echo "started=$started" >> "$GITHUB_OUTPUT"
echo "local_url=$local_url" >> "$GITHUB_OUTPUT"
echo "effective_url=$effective_url" >> "$GITHUB_OUTPUT"
echo "pid=$pid" >> "$GITHUB_OUTPUT"
+61 -11
View File
@@ -1,19 +1,69 @@
# GitHub Copilot Instructions
Microsoft Agent Framework - a multi-language framework for building, orchestrating, and deploying AI agents.
This repository contains both Python and C# code.
All python code resides under the `python/` directory.
All C# code resides under the `dotnet/` directory.
## Repository Structure
The purpose of the code is to provide a framework for building AI agents.
- `python/` - Python implementation → see [python/AGENTS.md](../python/AGENTS.md)
- `dotnet/` - C#/.NET implementation → see [dotnet/AGENTS.md](../dotnet/AGENTS.md)
- `docs/` - Design documents and architectural decision records
When contributing to this repository, please follow these guidelines:
## Architectural Decision Records (ADRs)
## C# Code Guidelines
ADRs in `docs/decisions/` capture significant design decisions and their rationale. They document considered alternatives, trade-offs, and the reasoning behind choices.
Here are some general guidelines that apply to all code.
**Templates:**
- `adr-template.md` - Full template with detailed sections
- `adr-short-template.md` - Abbreviated template for simpler decisions
- The top of all *.cs files should have a copyright notice: `// Copyright (c) Microsoft. All rights reserved.`
- All public methods and classes should have XML documentation comments.
- After adding, modifying or deleting code, run `dotnet build`, and then fix any reported build errors.
- After adding or modifying code, run `dotnet format` to automatically fix any formatting errors.
When proposing architectural changes, create an ADR to capture options considered and the decision rationale. See [docs/decisions/README.md](../docs/decisions/README.md) for the full process.
### C# Sample Code Guidelines
Sample code is located in the `dotnet/samples` directory.
When adding a new sample, follow these steps:
- The sample should be a standalone .net project in one of the subdirectories of the samples directory.
- The directory name should be the same as the project name.
- The directory should contain a README.md file that explains what the sample does and how to run it.
- The README.md file should follow the same format as other samples.
- The csproj file should match the directory name.
- The csproj file should be configured in the same way as other samples.
- The project should preferably contain a single Program.cs file that contains all the sample code.
- The sample should be added to the solution file in the samples directory.
- The sample should be tested to ensure it works as expected.
- A reference to the new samples should be added to the README.md file in the parent directory of the new sample.
The sample code should follow these guidelines:
- Configuration settings should be read from environment variables, e.g. `var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");`.
- Environment variables should use upper snake_case naming convention.
- Secrets should not be hardcoded in the code or committed to the repository.
- The code should be well-documented with comments explaining the purpose of each step.
- The code should be simple and to the point, avoiding unnecessary complexity.
- Prefer inline literals over constants for values that are not reused. For example, use `new ChatClientAgent(chatClient, instructions: "You are a helpful assistant.")` instead of defining a constant for "instructions".
- Ensure that all private classes are sealed
- Use the Async suffix on the name of all async methods that return a Task or ValueTask.
- Prefer defining variables using types rather than var, to help users understand the types involved.
- Follow the patterns in the samples in the same directories where new samples are being added.
- The structure of the sample should be as follows:
- The top of the Program.cs should have a copyright notice: `// Copyright (c) Microsoft. All rights reserved.`
- Then add a comment describing what the sample is demonstrating.
- Then add the necessary using statements.
- Then add the main code logic.
- Finally, add any helper methods or classes at the bottom of the file.
### C# Unit Test Guidelines
Unit tests are located in the `dotnet/tests` directory in projects with a `.UnitTests.csproj` suffix.
Unit tests should follow these guidelines:
- Use `this.` for accessing class members
- Add Arrange, Act and Assert comments for each test
- Ensure that all private classes, that are not subclassed, are sealed
- Use the Async suffix on the name of all async methods
- Use the Moq library for mocking objects where possible
- Validate that each test actually tests the target behavior, e.g. we should not have tests that creates a mock, calls the mock and then verifies that the mock was called, without the target code being involved. We also shouldn't have tests that test language features, e.g. something that the compiler would catch anyway.
- Avoid adding excessive comments to tests. Instead favour clear easy to understand code.
- Follow the patterns in the unit tests in the same project or classes to which new tests are being added
+6 -14
View File
@@ -24,14 +24,12 @@ updates:
- ".NET"
- "dependencies"
# Maintain dependencies for python.
# TODO: Remove these Python Dependabot entries after we have confidence in the
# Python dependency-maintenance workflow.
# Maintain dependencies for python
- package-ecosystem: "pip"
directory: "python/"
schedule:
interval: "weekly"
day: "thursday"
day: "monday"
labels:
- "python"
- "dependencies"
@@ -39,22 +37,16 @@ updates:
directory: "python/"
schedule:
interval: "weekly"
day: "thursday"
day: "monday"
labels:
- "python"
- "dependencies"
# Maintain dependencies for github-actions
- package-ecosystem: "github-actions"
# Cover both the standard workflow location and our composite actions.
# With `directory: "/"` Dependabot only scans `.github/workflows/*.{yml,yaml}`
# plus a root-level `action.yml/action.yaml`. It does NOT recurse into
# `.github/actions/*/action.yml`, so the glob below is required to keep the
# composite actions in `.github/actions/<name>/` up to date as well.
# Ref: https://docs.github.com/en/code-security/dependabot/working-with-dependabot/dependabot-options-reference#directories-or-directory--
directories:
- "/"
- "/.github/actions/*"
# Workflow files stored in the
# default location of `.github/workflows`
directory: "/"
schedule:
interval: "weekly"
day: "sunday"
+1 -1
View File
@@ -23,7 +23,7 @@ workflows:
- any-glob-to-any-file:
- dotnet/src/Microsoft.Agents.AI.Workflows/**
- dotnet/src/Microsoft.Agents.AI.Workflows.Declarative/**
- dotnet/samples/03-workflows/**
- dotnet/samples/GettingStarted/Workflow/**
- python/packages/main/agent_framework/_workflow/**
- python/samples/getting_started/workflow/**
+5 -25
View File
@@ -1,43 +1,23 @@
### Motivation & Context
### Motivation and Context
<!-- Thank you for your contribution to the Agent Framework repo!
Please help reviewers and future users, providing the following information:
1. Why is this change required?
2. What problem does it solve?
3. What scenario does it contribute to?
4. If it fixes an open issue, please link to the issue below.
4. If it fixes an open issue, please link to the issue here.
-->
### Description & Review Guide
### Description
<!-- Describe your changes, the overall approach, the underlying design.
Highlight what you want the reviewers to focus on.
These notes will help understanding how your code works. Thanks! -->
- **What are the major changes?**
- **What is the impact of these changes?**
- **What do you want reviewers to focus on?**
<!-- NOTE FOR AUTOMATED/AI REVIEWERS: the "What do you want reviewers to focus on?"
item above is intended for human reviewers only. Automated/AI reviewers should
ignore it and review the entire change rather than narrowing scope to it. -->
### Related Issue
<!-- Which issue does this PR fix? Link it using a GitHub closing keyword so it is
closed automatically when this PR is merged, e.g. "Fixes #123" or "Closes #123".
PRs that are not linked to an issue may be closed, no matter how valid the change is.
Also check whether an open PR already exists for this issue; if so,
explain how this PR is different. -->
Fixes #
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [ ] The code builds clean without any errors or warnings
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)
- [ ] This PR is linked to an issue and there is no other open PR for this issue (see Related Issue above).
- [x] **This is not a breaking change.** If it _is_ a breaking change, add the `breaking change` label (or add "[BREAKING]" to the title prefix, before or after any language prefix) — a workflow keeps the label and title prefix in sync automatically.
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] **Is this a breaking change?** If yes, add "[BREAKING]" prefix to the title of the PR.
-74
View File
@@ -1,74 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
/**
* Resolve the issue or pull request author and check their team membership.
*
* @param {object} opts
* @param {object} opts.github - Octokit REST client from actions/github-script
* @param {object} opts.context - GitHub Actions context
* @param {object} opts.core - GitHub Actions core toolkit
* @param {string} opts.teamSlug - Team slug to check membership against
* @param {string|number} opts.issueNumber - Issue or pull request number to resolve author for
* @returns {Promise<{author: string|null, isTeamMember: boolean}>}
*/
async function checkTeamMembership({ github, context, core, teamSlug, issueNumber }) {
let author =
context.payload.issue?.user?.login ??
context.payload.pull_request?.user?.login;
if (!author) {
const number = Number(issueNumber);
if (context.payload.pull_request) {
const { data: pr } = await github.rest.pulls.get({
owner: context.repo.owner,
repo: context.repo.repo,
pull_number: number,
});
author = pr.user?.login;
} else {
const { data: issue } = await github.rest.issues.get({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: number,
});
author = issue.user?.login;
}
}
if (!author) {
core.setFailed('Could not determine issue author (user may be deleted).');
return { author: null, isTeamMember: false };
}
try {
await github.rest.teams.getByName({
org: context.repo.owner,
team_slug: teamSlug,
});
} catch (error) {
core.setFailed(`Team lookup failed for ${teamSlug}: ${error.message}`);
throw error;
}
let isTeamMember = false;
try {
const teamMembership = await github.rest.teams.getMembershipForUserInOrg({
org: context.repo.owner,
team_slug: teamSlug,
username: author,
});
isTeamMember = teamMembership.data.state === 'active';
} catch (error) {
if (error.status === 404) {
core.info(`Author ${author} is not a member of team ${teamSlug}.`);
isTeamMember = false;
} else {
core.setFailed(`Team membership lookup failed for ${author}: ${error.message}`);
throw error;
}
}
return { author, isTeamMember };
}
module.exports = checkTeamMembership;
-181
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@@ -1,181 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
function getPullRequest(context) {
const pullRequest = context.payload.pull_request;
if (!pullRequest?.number || !pullRequest.user?.login) {
throw new Error('This script must be run from a pull_request_target event.');
}
return {
author: pullRequest.user.login,
authorType: pullRequest.user.type,
labels: pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [],
number: pullRequest.number,
};
}
async function ensureLabel({ github, owner, repo, labelName }) {
try {
await github.rest.issues.getLabel({
owner,
repo,
name: labelName,
});
} catch (error) {
if (error.status !== 404) {
throw error;
}
try {
await github.rest.issues.createLabel({
owner,
repo,
name: labelName,
color: 'd93f0b',
description: 'Community author has exceeded the open pull request limit.',
});
} catch (createError) {
if (createError.status !== 422) {
throw createError;
}
}
}
}
function hasLabel(labels, labelName) {
if (!labelName) {
return false;
}
return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
}
function isDependabotAuthor({ author, authorType }) {
return authorType === 'Bot' && author.toLowerCase() === 'dependabot[bot]';
}
function buildLimitMessage({ author, exemptLabelName, maxOpenPrs, openPrCount }) {
return [
`Thank you for your contribution, @${author}.`,
'',
`To keep the review queue manageable, we currently limit community contributors to ${maxOpenPrs} `
+ `open pull requests at a time. This PR would put you at ${openPrCount} open pull requests, `
+ 'so we are closing it automatically.',
'',
'Please focus on getting your existing PRs reviewed, merged, or closed before opening another one. '
+ `If a maintainer asked you to open this PR, they can apply the \`${exemptLabelName}\` label and reopen it.`,
].join('\n');
}
async function getOpenPrCount({ github, owner, repo, author, pullRequestNumber }) {
const openPullRequests = await github.paginate(github.rest.pulls.list, {
owner,
repo,
state: 'open',
per_page: 100,
});
const authorOpenPullRequestNumbers = openPullRequests
.filter((pullRequest) => pullRequest.user?.login === author)
.map((pullRequest) => pullRequest.number);
const currentPrIsOpen = authorOpenPullRequestNumbers.includes(pullRequestNumber);
const existingOpenPrCount = currentPrIsOpen
? authorOpenPullRequestNumbers.length - 1
: authorOpenPullRequestNumbers.length;
return existingOpenPrCount + 1;
}
async function enforcePrLimit({ github, context, core, exemptLabelName, maxOpenPrs, labelName }) {
const { owner, repo } = context.repo;
const { author, authorType, labels, number } = getPullRequest(context);
if (isDependabotAuthor({ author, authorType })) {
core.info(`Author ${author} is Dependabot; skipping open PR limit enforcement.`);
return {
author,
closed: false,
dependabotExempt: true,
openPrCount: null,
};
}
if (hasLabel(labels, exemptLabelName)) {
core.info(`PR #${number} has the ${exemptLabelName} label; skipping open PR limit enforcement.`);
return {
author,
closed: false,
exempt: true,
openPrCount: null,
};
}
const openPrCount = await getOpenPrCount({
github,
owner,
repo,
author,
pullRequestNumber: number,
});
if (openPrCount <= maxOpenPrs) {
core.info(
`${author} has ${openPrCount} open pull request(s), which is within the limit of ${maxOpenPrs}.`,
);
return {
author,
closed: false,
openPrCount,
};
}
await ensureLabel({
github,
owner,
repo,
labelName,
});
await github.rest.issues.addLabels({
owner,
repo,
issue_number: number,
labels: [labelName],
});
await github.rest.issues.createComment({
owner,
repo,
issue_number: number,
body: buildLimitMessage({
author,
exemptLabelName,
maxOpenPrs,
openPrCount,
}),
});
await github.rest.pulls.update({
owner,
repo,
pull_number: number,
state: 'closed',
});
core.info(
`${author} has ${openPrCount} open pull request(s), which exceeds the limit of ${maxOpenPrs}. `
+ `Closed PR #${number}.`,
);
return {
author,
closed: true,
openPrCount,
};
}
module.exports = {
buildLimitMessage,
enforcePrLimit,
getOpenPrCount,
};
-212
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@@ -1,212 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
"""Enforce Python package coverage according to package lifecycle."""
# ruff:file-ignore[print]
# ruff:file-ignore[implicit-namespace-package]
from __future__ import annotations
import re
import sys
import xml.etree.ElementTree as ET # ruff:ignore[suspicious-xml-etree-import]
from dataclasses import dataclass
from pathlib import Path
import tomllib
DEVELOPMENT_STATUS_PREFIX = "Development Status :: "
ENFORCED_DEVELOPMENT_STATUS = 4
EXEMPT_PACKAGES = {"devui", "lab"}
@dataclass(frozen=True)
class PackagePolicy:
"""Coverage policy derived from a package's project metadata."""
directory: str
distribution_name: str
development_status: int
development_status_label: str
enforced: bool
exempt: bool
@dataclass
class CoverageStats:
"""Line and branch coverage counters."""
lines_valid: int = 0
lines_covered: int = 0
branches_valid: int = 0
branches_covered: int = 0
@property
def line_coverage_percent(self) -> float:
"""Return line coverage as a percentage."""
if not self.lines_valid:
return 0
return self.lines_covered / self.lines_valid * 100
def normalize_coverage_path(path: str) -> str:
"""Normalize a coverage path for matching."""
return path.replace("\\", "/").lstrip("./")
def load_package_policies(packages_dir: Path) -> list[PackagePolicy]:
"""Load lifecycle-based coverage policies from package pyproject files."""
policies: list[PackagePolicy] = []
for pyproject_path in sorted(packages_dir.glob("*/pyproject.toml")):
with pyproject_path.open("rb") as pyproject_file:
pyproject = tomllib.load(pyproject_file)
project = pyproject.get("project", {})
distribution_name = str(project.get("name", "")).strip()
if not distribution_name:
raise ValueError(f"{pyproject_path}: project.name is required")
status_classifiers = [
classifier
for classifier in project.get("classifiers", [])
if classifier.startswith(DEVELOPMENT_STATUS_PREFIX)
]
if len(status_classifiers) != 1:
raise ValueError(
f"{pyproject_path}: expected exactly one Development Status classifier, found {len(status_classifiers)}"
)
match = re.fullmatch(r"Development Status :: (\d+) - (.+)", status_classifiers[0])
if match is None:
raise ValueError(f"{pyproject_path}: malformed Development Status classifier")
directory = pyproject_path.parent.name
development_status = int(match.group(1))
exempt = directory in EXEMPT_PACKAGES
policies.append(
PackagePolicy(
directory=directory,
distribution_name=distribution_name,
development_status=development_status,
development_status_label=match.group(2),
enforced=development_status >= ENFORCED_DEVELOPMENT_STATUS and not exempt,
exempt=exempt,
)
)
if not policies:
raise ValueError(f"No package pyproject.toml files found below {packages_dir}")
return policies
def parse_coverage_xml(xml_path: Path) -> tuple[dict[str, CoverageStats], float, float]:
"""Parse Cobertura XML and aggregate coverage by package directory."""
root = ET.parse(xml_path).getroot() # ruff:ignore[suspicious-xml-element-tree-usage] # Trusted CI-generated coverage report.
package_stats: dict[str, CoverageStats] = {}
for class_elem in root.findall(".//class"):
file_path = normalize_coverage_path(class_elem.get("filename", ""))
path_parts = file_path.split("/")
try:
packages_index = path_parts.index("packages")
package_directory = path_parts[packages_index + 1]
except (ValueError, IndexError):
continue
stats = package_stats.setdefault(package_directory, CoverageStats())
for line in class_elem.findall(".//line"):
stats.lines_valid += 1
if int(line.get("hits", 0)) > 0:
stats.lines_covered += 1
if line.get("branch") != "true":
continue
condition_coverage = line.get("condition-coverage", "")
match = re.search(r"\((\d+)/(\d+)\)", condition_coverage)
if match is not None:
stats.branches_covered += int(match.group(1))
stats.branches_valid += int(match.group(2))
return (
package_stats,
float(root.get("line-rate", 0)) * 100,
float(root.get("branch-rate", 0)) * 100,
)
def check_coverage(xml_path: Path, threshold: float, packages_dir: Path) -> bool:
"""Check all lifecycle-enforced packages against the coverage threshold."""
policies = load_package_policies(packages_dir)
package_stats, overall_line_coverage, overall_branch_coverage = parse_coverage_xml(xml_path)
print("\n" + "=" * 110)
print("PYTHON PACKAGE TEST COVERAGE")
print("=" * 110)
print(f"Overall Line Coverage: {overall_line_coverage:.1f}%")
print(f"Overall Branch Coverage: {overall_branch_coverage:.1f}%")
print(f"Enforced Threshold: {threshold:.1f}%")
print("-" * 110)
print(f"{'Package':<48} {'Stage':<20} {'Policy':<14} {'Lines':<12} {'Line Cov':<10}")
print("-" * 110)
failed_packages: list[str] = []
for policy in sorted(policies, key=lambda item: (not item.enforced, item.distribution_name)):
stats = package_stats.get(policy.directory)
if policy.exempt:
policy_label = "EXEMPT"
elif policy.enforced:
policy_label = "ENFORCED"
else:
policy_label = "REPORT ONLY"
if stats is None:
lines = "-"
coverage = "missing"
if policy.enforced:
failed_packages.append(f"{policy.distribution_name} (missing from coverage report)")
else:
lines = f"{stats.lines_covered}/{stats.lines_valid}"
coverage = f"{stats.line_coverage_percent:.1f}%"
if policy.enforced and stats.line_coverage_percent < threshold:
failed_packages.append(f"{policy.distribution_name} ({coverage})")
stage = f"{policy.development_status} - {policy.development_status_label}"
print(f"{policy.distribution_name:<48} {stage:<20} {policy_label:<14} {lines:<12} {coverage:<10}")
print("-" * 110)
if failed_packages:
print(f"\nFAILED: Enforced packages below {threshold:.1f}% or missing:")
for package in failed_packages:
print(f" - {package}")
return False
print(f"\nPASSED: All non-exempt Beta-or-higher packages meet {threshold:.1f}% line coverage.")
return True
def main() -> int:
"""Run the coverage policy check."""
if len(sys.argv) != 3:
print(f"Usage: {sys.argv[0]} <coverage-xml-path> <threshold>")
return 1
try:
threshold = float(sys.argv[2])
except ValueError:
print(f"Error: Invalid threshold value: {sys.argv[2]}")
return 1
repository_root = Path(__file__).resolve().parents[2]
try:
passed = check_coverage(
Path(sys.argv[1]),
threshold,
repository_root / "python" / "packages",
)
except (FileNotFoundError, ET.ParseError, ValueError) as error:
print(f"Error: {error}")
return 1
return 0 if passed else 1
if __name__ == "__main__":
sys.exit(main())
@@ -1,170 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
const DECISIVE_REVIEW_STATES = new Set(['APPROVED', 'CHANGES_REQUESTED', 'DISMISSED']);
const SHA_PATTERN = /^[0-9a-f]{40}$/;
const BRANCH_PATTERN = /^[a-zA-Z0-9_./-]+$/;
function assertValidSha(sha, description) {
if (!SHA_PATTERN.test(sha)) {
throw new Error(`GitHub returned an invalid ${description} SHA.`);
}
}
function hasWritePermission(permissionData) {
return permissionData.user?.permissions?.push === true
|| ['admin', 'maintain', 'write'].includes(permissionData.permission);
}
function latestDecisiveReviews(reviews) {
const latestByReviewer = new Map();
const sortedReviews = [...reviews].sort((left, right) => {
const submittedComparison = (left.submitted_at || '').localeCompare(right.submitted_at || '');
return submittedComparison || Number(left.id) - Number(right.id);
});
for (const review of sortedReviews) {
const state = review.state?.toUpperCase();
const reviewer = review.user?.login?.toLowerCase();
if (reviewer && DECISIVE_REVIEW_STATES.has(state)) {
latestByReviewer.set(reviewer, review);
}
}
return latestByReviewer;
}
async function resolvePullRequest({ github, context, core, prNumber, requiredApprovals }) {
if (!/^[0-9]+$/.test(prNumber)) {
throw new Error('Invalid PR number. Only numeric values are allowed.');
}
const pullNumber = Number(prNumber);
const { data: pullRequest } = await github.rest.pulls.get({
...context.repo,
pull_number: pullNumber,
});
if (pullRequest.state !== 'open') {
throw new Error(`PR #${pullNumber} is not open (state: ${pullRequest.state}).`);
}
const headSha = pullRequest.head.sha;
const baseSha = pullRequest.base.sha;
assertValidSha(headSha, 'PR head');
assertValidSha(baseSha, 'PR base');
const reviews = await github.paginate(github.rest.pulls.listReviews, {
...context.repo,
pull_number: pullNumber,
per_page: 100,
});
const latestReviews = latestDecisiveReviews(reviews);
const author = pullRequest.user?.login?.toLowerCase();
const approvalCandidates = [...latestReviews.entries()]
.filter(([, review]) => review.state.toUpperCase() === 'APPROVED')
.filter(([, review]) => review.commit_id === headSha)
.filter(([reviewer]) => reviewer !== author);
const approvedMaintainers = [];
for (const [reviewer] of approvalCandidates) {
const { data: permissionData } = await github.rest.repos.getCollaboratorPermissionLevel({
...context.repo,
username: reviewer,
});
if (hasWritePermission(permissionData)) {
approvedMaintainers.push(reviewer);
} else {
core.info(`Ignoring approval from ${reviewer}: reviewer does not have write permission.`);
}
}
if (approvedMaintainers.length < requiredApprovals) {
throw new Error(
`PR #${pullNumber} head ${headSha} requires ${requiredApprovals} approvals from unique `
+ `write-capable maintainers; found ${approvedMaintainers.length}.`,
);
}
core.info(
`PR #${pullNumber} head ${headSha} approved by: ${approvedMaintainers.join(', ')}.`,
);
return {
baseRef: baseSha,
checkoutRef: headSha,
description: `PR #${pullNumber}`,
};
}
async function resolveBranch({ github, context, core, branch }) {
if (!BRANCH_PATTERN.test(branch)) {
throw new Error(
'Invalid branch name. Only alphanumeric characters, hyphens, underscores, dots, and slashes '
+ 'are allowed.',
);
}
const [{ data: repository }, { data: targetBranch }] = await Promise.all([
github.rest.repos.get(context.repo),
github.rest.repos.getBranch({ ...context.repo, branch }),
]);
const { data: baseBranch } = await github.rest.repos.getBranch({
...context.repo,
branch: repository.default_branch,
});
const checkoutRef = targetBranch.commit.sha;
const baseRef = baseBranch.commit.sha;
assertValidSha(checkoutRef, 'branch head');
assertValidSha(baseRef, 'default branch');
core.info(`Branch ${branch} resolved to immutable commit ${checkoutRef}.`);
return {
baseRef,
checkoutRef,
description: `branch ${branch}`,
};
}
/**
* Resolve a manually requested integration-test target to an immutable commit.
*
* Pull requests must have fresh approvals from two unique write-capable
* maintainers for the exact head commit. Branches are limited to branches in
* the base repository and are pinned to their current commit.
*/
async function resolveIntegrationTestTarget({
github,
context,
core,
prNumber = '',
branch = '',
requiredApprovals = 2,
}) {
const normalizedPrNumber = prNumber.trim();
const normalizedBranch = branch.trim();
if (normalizedPrNumber && normalizedBranch) {
throw new Error('Please provide either a PR number or a branch name, not both.');
}
if (!normalizedPrNumber && !normalizedBranch) {
throw new Error('Please provide either a PR number or a branch name.');
}
if (normalizedPrNumber) {
return resolvePullRequest({
github,
context,
core,
prNumber: normalizedPrNumber,
requiredApprovals,
});
}
return resolveBranch({
github,
context,
core,
branch: normalizedBranch,
});
}
module.exports = resolveIntegrationTestTarget;
-216
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@@ -1,216 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
"""Scan open issues and PRs labeled 'waiting-for-author' for stale follow-ups.
Team members manually add the 'waiting-for-author' label when they need a
response from the external author. If the author hasn't replied within
DAYS_THRESHOLD days of the last team comment, post a reminder and add the
'requested-info' label to prevent duplicate pings.
"""
from __future__ import annotations
import os
import sys
import time
from datetime import datetime, timezone
from github import Auth, Github, GithubException
from github.Issue import Issue
from github.IssueComment import IssueComment
PING_COMMENT = (
"@{author}, friendly reminder — this issue is waiting on your response. "
"Please share any updates when you get a chance. (This is an automated message.)"
)
TRIGGER_LABEL = "waiting-for-author"
PINGED_LABEL = "requested-info"
def get_team_members(g: Github, org: str, team_slug: str) -> set[str]:
"""Fetch active team member usernames."""
try:
org_obj = g.get_organization(org)
team = org_obj.get_team_by_slug(team_slug)
return {m.login for m in team.get_members()}
except GithubException as exc:
if exc.status in (403, 404):
print(
f"ERROR: Failed to fetch team members for {org}/{team_slug} "
f"(HTTP {exc.status}). Check that the token has the 'read:org' "
f"scope and that the team slug '{team_slug}' is correct."
)
else:
print(f"ERROR: Failed to fetch team members for {org}/{team_slug}: {exc}")
sys.exit(1)
except Exception as exc:
print(f"ERROR: Failed to fetch team members for {org}/{team_slug}: {exc}")
sys.exit(1)
def find_last_team_comment(
comments: list[IssueComment], team_members: set[str]
) -> IssueComment | None:
"""Return the most recent comment from a team member, or None."""
for comment in reversed(comments):
if comment.user and comment.user.login in team_members:
return comment
return None
def author_replied_after(
comments: list[IssueComment], author: str, after: datetime
) -> bool:
"""Check if the issue author commented after the given timestamp."""
for comment in comments:
if (
comment.user
and comment.user.login == author
and comment.created_at > after
):
return True
return False
def should_ping(
issue: Issue,
team_members: set[str],
days_threshold: int,
now: datetime,
) -> bool:
"""Determine whether this issue/PR should be pinged.
Only issues/PRs carrying the 'waiting-for-author' label are candidates.
"""
author = issue.user.login
# Skip if the trigger label is not present
if not any(label.name == TRIGGER_LABEL for label in issue.labels):
return False
# Skip if author is a team member
if author in team_members:
return False
# Skip if already pinged
if any(label.name == PINGED_LABEL for label in issue.labels):
return False
# Skip if no comments at all
if issue.comments == 0:
return False
# Fetch comments once for both lookups
comments = list(issue.get_comments())
# Find last team member comment
last_team_comment = find_last_team_comment(comments, team_members)
if last_team_comment is None:
return False
# Skip if author replied after the last team comment
if author_replied_after(comments, author, last_team_comment.created_at):
return False
# Check if enough days have passed
days_since = (now - last_team_comment.created_at.astimezone(timezone.utc)).days
if days_since < days_threshold:
return False
return True
def ping(issue: Issue, dry_run: bool) -> bool:
"""Post a reminder comment and add the 'requested-info' label. Returns True on success."""
author = issue.user.login
kind = "PR" if issue.pull_request else "Issue"
if dry_run:
print(f" [DRY RUN] Would ping {kind} #{issue.number} (@{author})")
return True
max_retries = 3
commented = False
labeled = False
for attempt in range(1, max_retries + 1):
try:
if not commented:
issue.create_comment(PING_COMMENT.format(author=author))
commented = True
if not labeled:
issue.add_to_labels(PINGED_LABEL)
labeled = True
print(f" Pinged {kind} #{issue.number} (@{author})")
return True
except Exception as exc:
if attempt < max_retries:
wait = 2 ** attempt # 2s, 4s
print(f" WARN: Attempt {attempt}/{max_retries} failed for {kind} #{issue.number}: {exc}. Retrying in {wait}s...")
time.sleep(wait)
else:
print(f" ERROR: Failed to ping {kind} #{issue.number} after {max_retries} attempts: {exc}")
return False
def main() -> None:
token = os.environ.get("GITHUB_TOKEN")
if not token:
print("ERROR: GITHUB_TOKEN environment variable is required")
sys.exit(1)
repository = os.environ.get("GITHUB_REPOSITORY")
if not repository:
print("ERROR: GITHUB_REPOSITORY environment variable is required")
sys.exit(1)
team_slug = os.environ.get("TEAM_SLUG")
if not team_slug:
print("ERROR: TEAM_SLUG environment variable is required")
sys.exit(1)
days_threshold_raw = os.environ.get("DAYS_THRESHOLD", "4")
try:
days_threshold = int(days_threshold_raw)
except ValueError:
print(f"ERROR: DAYS_THRESHOLD must be a numeric value, got '{days_threshold_raw}'")
sys.exit(1)
dry_run = os.environ.get("DRY_RUN", "false").lower() == "true"
org = repository.split("/")[0]
if dry_run:
print("Running in DRY RUN mode — no comments or labels will be applied.\n")
g = Github(auth=Auth.Token(token))
repo = g.get_repo(repository)
print(f"Fetching team members for {org}/{team_slug}...")
team_members = get_team_members(g, org, team_slug)
print(f"Found {len(team_members)} team members.\n")
now = datetime.now(timezone.utc)
pinged = []
failed = []
scanned = 0
print(f"Scanning open issues and PRs labeled '{TRIGGER_LABEL}' (threshold: {days_threshold} days)...\n")
for issue in repo.get_issues(state="open", labels=[TRIGGER_LABEL]):
scanned += 1
if should_ping(issue, team_members, days_threshold, now):
if ping(issue, dry_run):
pinged.append(issue.number)
else:
failed.append(issue.number)
print(f"\nDone. Scanned {scanned} items, pinged {len(pinged)}, failed {len(failed)}.")
if pinged:
print(f"Pinged: {', '.join(f'#{n}' for n in pinged)}")
if failed:
print(f"Failed: {', '.join(f'#{n}' for n in failed)}")
sys.exit(1)
if __name__ == "__main__":
main()
-253
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@@ -1,253 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
const BREAKING_CHANGE_LABEL = 'breaking change';
const BREAKING_PREFIX = '[BREAKING]';
const DEFAULT_PREFIX_LABELS = Object.freeze({
python: 'Python',
'.NET': '.NET',
});
const DEFAULT_BRACKET_PREFIX_LABELS = Object.freeze({
[BREAKING_CHANGE_LABEL]: BREAKING_PREFIX,
});
function escapeRegExp(value) {
return value.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
}
function getMatchingValueByKey(valuesByKey, keyToFind) {
const matchingKey = Object.keys(valuesByKey).find((key) => key.toLowerCase() === keyToFind.toLowerCase());
return matchingKey === undefined ? null : valuesByKey[matchingKey];
}
function getPrefixPattern(prefixes) {
return prefixes.map(escapeRegExp).join('|');
}
function canonicalizePrefix(prefix, prefixes) {
return prefixes.find((knownPrefix) => knownPrefix.toLowerCase() === prefix.toLowerCase()) ?? prefix;
}
function normalizeLeadingBracketPrefix(title, bracketPrefixes) {
const bracketPattern = getPrefixPattern(bracketPrefixes);
if (!bracketPattern) {
return title;
}
const leadingBracketPrefix = new RegExp(`^(${bracketPattern})(?=\\s|$)`, 'i');
return title.replace(
leadingBracketPrefix,
(bracketPrefix) => canonicalizePrefix(bracketPrefix, bracketPrefixes),
);
}
function parseLeadingTitlePrefix(title, titlePrefixes) {
const titlePrefixPattern = getPrefixPattern(titlePrefixes);
if (!titlePrefixPattern) {
return null;
}
const match = title.match(new RegExp(`^(${titlePrefixPattern}):\\s*`, 'i'));
if (!match) {
return null;
}
return {
prefix: canonicalizePrefix(match[1], titlePrefixes),
rest: title.slice(match[0].length).trimStart(),
};
}
function removeBracketPrefixToken(title, bracketPrefix) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
return title
.replace(new RegExp(`(^|\\s+)${bracketPrefixPattern}(?=\\s|$)`, 'ig'), '$1')
.replace(/\s{2,}/g, ' ')
.trim();
}
function addTitlePrefix(title, prefix, bracketPrefixes = Object.values(DEFAULT_BRACKET_PREFIX_LABELS)) {
const bracketPattern = getPrefixPattern(bracketPrefixes);
const prefixPattern = escapeRegExp(prefix);
if (bracketPattern) {
const bracketThenTitlePrefix = new RegExp(`^(${bracketPattern})(\\s+)(${prefixPattern})(?=:)`, 'i');
if (bracketThenTitlePrefix.test(title)) {
return title.replace(
bracketThenTitlePrefix,
(match, bracketPrefix, spacing) => `${canonicalizePrefix(bracketPrefix, bracketPrefixes)}${spacing}${prefix}`,
);
}
title = normalizeLeadingBracketPrefix(title, bracketPrefixes);
}
if (!title.startsWith(`${prefix}: `)) {
const existingTitlePrefix = new RegExp(`^${prefixPattern}:\\s*`, 'i');
if (existingTitlePrefix.test(title)) {
return title.replace(existingTitlePrefix, `${prefix}: `);
}
return `${prefix}: ${title}`;
}
return title;
}
function hasBracketPrefix(title, bracketPrefix, titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS)) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
const leadingBracketPrefix = new RegExp(`^${bracketPrefixPattern}(?=\\s|$)`, 'i');
if (leadingBracketPrefix.test(title)) {
return true;
}
const leadingTitlePrefix = parseLeadingTitlePrefix(title, titlePrefixes);
if (!leadingTitlePrefix) {
return false;
}
return leadingBracketPrefix.test(leadingTitlePrefix.rest);
}
function addBracketPrefix(title, bracketPrefix, titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS)) {
const bracketPrefixPattern = escapeRegExp(bracketPrefix);
const leadingBracketPrefix = new RegExp(`^${bracketPrefixPattern}(?=\\s|$)`, 'i');
if (leadingBracketPrefix.test(title)) {
return title.replace(leadingBracketPrefix, bracketPrefix);
}
const leadingTitlePrefix = parseLeadingTitlePrefix(title, titlePrefixes);
if (leadingTitlePrefix) {
if (leadingBracketPrefix.test(leadingTitlePrefix.rest)) {
const normalizedRest = leadingTitlePrefix.rest.replace(leadingBracketPrefix, bracketPrefix);
return `${leadingTitlePrefix.prefix}: ${normalizedRest}`;
}
const titleWithoutBracketPrefix = removeBracketPrefixToken(leadingTitlePrefix.rest, bracketPrefix);
return `${leadingTitlePrefix.prefix}: ${bracketPrefix}`
+ (titleWithoutBracketPrefix ? ` ${titleWithoutBracketPrefix}` : '');
}
const titleWithoutBracketPrefix = removeBracketPrefixToken(title, bracketPrefix);
return `${bracketPrefix}${titleWithoutBracketPrefix ? ` ${titleWithoutBracketPrefix}` : ''}`;
}
function hasLabel(labels, labelName) {
return labels.some((label) => label.toLowerCase() === labelName.toLowerCase());
}
function getCurrentTitle(context) {
switch (context.eventName) {
case 'issues':
return context.payload.issue.title;
case 'pull_request_target':
return context.payload.pull_request.title;
default:
throw new Error(`Unrecognized eventName: ${context.eventName}`);
}
}
async function updateTitleForAddedLabel({
github,
context,
core,
prefixLabels = DEFAULT_PREFIX_LABELS,
bracketPrefixLabels = DEFAULT_BRACKET_PREFIX_LABELS,
}) {
const labelAdded = context.payload.label?.name;
if (!labelAdded) {
throw new Error('This script must be run from a labeled event.');
}
const currentTitle = getCurrentTitle(context);
let newTitle = null;
const titlePrefix = getMatchingValueByKey(prefixLabels, labelAdded);
if (titlePrefix !== null) {
newTitle = addTitlePrefix(currentTitle, titlePrefix, Object.values(bracketPrefixLabels));
}
const bracketPrefix = getMatchingValueByKey(bracketPrefixLabels, labelAdded);
if (bracketPrefix !== null) {
newTitle = addBracketPrefix(currentTitle, bracketPrefix, Object.values(prefixLabels));
}
if (newTitle === null) {
core.info(`No title prefix configured for label "${labelAdded}".`);
return { updated: false, newTitle: currentTitle };
}
if (newTitle === currentTitle) {
core.info(`Title already includes the prefix for label "${labelAdded}".`);
return { updated: false, newTitle };
}
switch (context.eventName) {
case 'issues':
await github.rest.issues.update({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: newTitle,
});
break;
case 'pull_request_target':
await github.rest.pulls.update({
pull_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: newTitle,
});
break;
default:
throw new Error(`Unrecognized eventName: ${context.eventName}`);
}
return { updated: true, newTitle };
}
async function syncBreakingChangeLabelFromTitle({
github,
context,
core,
labelName = BREAKING_CHANGE_LABEL,
bracketPrefix = BREAKING_PREFIX,
titlePrefixes = Object.values(DEFAULT_PREFIX_LABELS),
}) {
const pullRequest = context.payload.pull_request;
if (!pullRequest) {
throw new Error('This script must be run from a pull_request_target event.');
}
const title = pullRequest.title || '';
if (!hasBracketPrefix(title, bracketPrefix, titlePrefixes)) {
core.info(`Title does not include ${bracketPrefix} in the title prefix.`);
return { added: false };
}
const labels = pullRequest.labels?.map((label) => label.name).filter(Boolean) ?? [];
if (hasLabel(labels, labelName)) {
core.info(`PR already has the "${labelName}" label.`);
return { added: false };
}
await github.rest.issues.addLabels({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
labels: [labelName],
});
return { added: true };
}
module.exports = {
addBracketPrefix,
addTitlePrefix,
hasBracketPrefix,
syncBreakingChangeLabelFromTitle,
updateTitleForAddedLabel,
};
-116
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@@ -1,116 +0,0 @@
---
name: pull-requests
description: >
Guidance for creating pull requests and handling PR review comments in the
Agent Framework repository. Use this when writing a PR description (filling out
the PR template) or when responding to and resolving review comments on an
existing PR.
---
# Pull Request Workflow
This skill covers two tasks: (1) writing a high-quality PR description, and
(2) handling review comments on an existing PR.
## 1. Writing the PR description
Always follow the repository PR template at
[`.github/pull_request_template.md`](../../pull_request_template.md). Keep its
exact structure and headings. Fill every section:
### `### Motivation & Context`
Explain *why* the change is needed: the problem it solves and the scenario it
contributes to. Describe the net change relative to `main` — this is implied, so
do **not** spell out "vs main" explicitly.
### `### Description & Review Guide`
Describe the changes, the overall approach, and the design. Answer the three
prompts:
- **What are the major changes?**
- **What is the impact of these changes?**
- **What do you want reviewers to focus on?** — This item is for **human
reviewers only**. Automated/AI reviewers must ignore it and review the entire
change rather than narrowing scope to it.
### `### Related Issue`
Link the issue the PR fixes using a GitHub closing keyword (`Fixes #123` /
`Closes #123`) so it closes automatically on merge. A PR with no linked issue may
be closed regardless of how valid the change is. Before opening, confirm there is
no other open PR for the same issue; if there is, explain how this PR differs.
### `### Contribution Checklist`
Check every item that applies. For the breaking-change item:
- Leave **"This is not a breaking change."** checked for the common case.
- If the change **is** breaking, add the `breaking change` label **or** put
`[BREAKING]` in the title prefix, before or after a language prefix such as
`Python:` or `.NET:` — workflows keep the label and the title prefix in sync
automatically (see `.github/workflows/label-title-prefix.yml` and
`.github/workflows/label-pr.yml`).
### Do not
- Do **not** add ad-hoc sections such as "Validation" or "Tests run"; CI/CD and
the checklist already cover validation status.
- Do **not** remove or reorder the template's headings.
### Creating the PR
Open new PRs as **drafts** until they are ready for review. Example:
```bash
gh pr create --repo microsoft/agent-framework --base main \
--head <your-fork-owner>:<branch> --draft \
--title "<concise title>" --body "<body following the template>"
```
## 2. Handling review comments
When a PR receives review comments, follow this sequence — **do not start editing
code before the user has reviewed the plan**:
1. **Review the comments.** Read every review comment and thread on the PR,
including inline code comments and general review summaries.
2. **Make a plan.** Produce a concrete plan describing how each comment will be
addressed (or why it should not be, with reasoning).
3. **Let the user review the plan.** Present the plan and wait for the user's
approval or adjustments before implementing anything.
4. **Implement.** Make the agreed changes.
5. **Reply to every comment.** Add a reply to **all** comments explaining how it
was addressed (or the agreed outcome) — leave none unanswered.
6. **Resolve resolved threads.** Mark a review thread as resolved only when the
comment has actually been addressed.
### Useful commands
List review comments and threads:
```bash
# Inline review comments
gh api repos/{owner}/{repo}/pulls/{pr}/comments
# Review threads with resolution state (GraphQL)
gh api graphql -f query='
query($owner:String!,$repo:String!,$pr:Int!){
repository(owner:$owner,name:$repo){
pullRequest(number:$pr){
reviewThreads(first:100){
nodes{ id isResolved comments(first:50){ nodes{ id body author{login} } } }
}
}
}
}' -F owner={owner} -F repo={repo} -F pr={pr}
```
Reply to an inline review comment:
```bash
gh api repos/{owner}/{repo}/pulls/{pr}/comments/{comment_id}/replies \
-f body="Addressed in <commit>: <explanation>"
```
Resolve a review thread (needs the thread node id from the GraphQL query above):
```bash
gh api graphql -f query='
mutation($threadId:ID!){
resolveReviewThread(input:{threadId:$threadId}){ thread{ isResolved } }
}' -F threadId={thread_id}
```
-227
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@@ -1,227 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
/**
* Tests for check_team_membership.js.
*
* Run with: node --test .github/tests/test_check_team_membership.js
*/
const { describe, it } = require('node:test');
const assert = require('node:assert/strict');
const checkTeamMembership = require('../scripts/check_team_membership.js');
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
function createMocks({
payloadIssue = undefined,
payloadPullRequest = undefined,
apiUser = 'api-user',
teamState = 'active',
} = {}) {
const core = {
_infoMessages: [],
_failedMessages: [],
info(msg) { this._infoMessages.push(msg); },
setFailed(msg) { this._failedMessages.push(msg); },
};
const payload = {};
if (payloadIssue !== undefined) {
payload.issue = payloadIssue;
}
if (payloadPullRequest !== undefined) {
payload.pull_request = payloadPullRequest;
}
const context = {
payload,
repo: { owner: 'test-org', repo: 'test-repo' },
};
const github = {
rest: {
issues: {
get: async () => ({
data: { user: apiUser ? { login: apiUser } : null },
}),
},
pulls: {
get: async () => ({
data: { user: apiUser ? { login: apiUser } : null },
}),
},
teams: {
getByName: async () => ({}),
getMembershipForUserInOrg: async () => ({
data: { state: teamState },
}),
},
},
};
return { core, context, github };
}
const BASE_OPTS = { teamSlug: 'my-team', issueNumber: '123' };
// ---------------------------------------------------------------------------
// Author resolution
// ---------------------------------------------------------------------------
describe('author resolution', () => {
it('resolves author from event payload', async () => {
const { github, context, core } = createMocks({
payloadIssue: { user: { login: 'payload-user' } },
});
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.author, 'payload-user');
});
it('resolves author from pull_request event payload', async () => {
const { github, context, core } = createMocks({
payloadPullRequest: { user: { login: 'pr-author' } },
});
let issuesGetCalled = false;
github.rest.issues.get = async () => {
issuesGetCalled = true;
return { data: { user: { login: 'api-user' } } };
};
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.author, 'pr-author');
assert.equal(issuesGetCalled, false);
});
it('resolves author via pulls API when pull_request payload user is null', async () => {
const { github, context, core } = createMocks({
payloadPullRequest: { user: null },
apiUser: 'fetched-pr-author',
});
let pullsGetCalled = false;
github.rest.pulls.get = async () => {
pullsGetCalled = true;
return { data: { user: { login: 'fetched-pr-author' } } };
};
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.author, 'fetched-pr-author');
assert.equal(pullsGetCalled, true);
});
it('resolves author via API when payload issue is absent', async () => {
const { github, context, core } = createMocks({ apiUser: 'api-user' });
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.author, 'api-user');
});
it('resolves author via API when payload issue user is null (deleted account)', async () => {
const { github, context, core } = createMocks({
payloadIssue: { user: null },
apiUser: 'fetched-user',
});
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.author, 'fetched-user');
});
it('handles deleted account when API also returns null user', async () => {
const { github, context, core } = createMocks({ apiUser: null });
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.author, null);
assert.equal(result.isTeamMember, false);
assert.ok(core._failedMessages.some(m => m.includes('deleted')));
});
});
// ---------------------------------------------------------------------------
// Team lookup
// ---------------------------------------------------------------------------
describe('team lookup', () => {
it('fails the job when team lookup errors', async () => {
const { github, context, core } = createMocks({
payloadIssue: { user: { login: 'user1' } },
});
const error = new Error('Bad credentials');
github.rest.teams.getByName = async () => { throw error; };
await assert.rejects(
() => checkTeamMembership({ github, context, core, ...BASE_OPTS }),
(err) => err === error,
);
assert.ok(core._failedMessages.some(m => m.includes('Team lookup failed')));
});
});
// ---------------------------------------------------------------------------
// Team membership
// ---------------------------------------------------------------------------
describe('team membership', () => {
it('returns true for active team member', async () => {
const { github, context, core } = createMocks({
payloadIssue: { user: { login: 'member' } },
teamState: 'active',
});
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.isTeamMember, true);
});
it('returns false for pending team member', async () => {
const { github, context, core } = createMocks({
payloadIssue: { user: { login: 'pending-user' } },
teamState: 'pending',
});
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.isTeamMember, false);
});
it('treats 404 membership response as non-member without failing', async () => {
const { github, context, core } = createMocks({
payloadIssue: { user: { login: 'outsider' } },
});
const notFoundError = new Error('Not Found');
notFoundError.status = 404;
github.rest.teams.getMembershipForUserInOrg = async () => { throw notFoundError; };
const result = await checkTeamMembership({ github, context, core, ...BASE_OPTS });
assert.equal(result.isTeamMember, false);
assert.equal(core._failedMessages.length, 0);
assert.ok(core._infoMessages.some(m => m.includes('not a member')));
});
it('fails the job on non-404 membership errors', async () => {
const { github, context, core } = createMocks({
payloadIssue: { user: { login: 'user1' } },
});
const serverError = new Error('Internal Server Error');
serverError.status = 500;
github.rest.teams.getMembershipForUserInOrg = async () => { throw serverError; };
await assert.rejects(
() => checkTeamMembership({ github, context, core, ...BASE_OPTS }),
(err) => err === serverError,
);
assert.ok(core._failedMessages.some(m => m.includes('membership lookup failed')));
});
it('fails the job on membership errors without status code', async () => {
const { github, context, core } = createMocks({
payloadIssue: { user: { login: 'user1' } },
});
const networkError = new Error('ECONNREFUSED');
github.rest.teams.getMembershipForUserInOrg = async () => { throw networkError; };
await assert.rejects(
() => checkTeamMembership({ github, context, core, ...BASE_OPTS }),
(err) => err === networkError,
);
assert.ok(core._failedMessages.some(m => m.includes('membership lookup failed')));
});
});
@@ -1,125 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
const { describe, it } = require('node:test');
const assert = require('node:assert/strict');
const {
base64ToBase64Url,
createInstallationToken,
createJwtSigningInput,
readConfig,
} = require('../actions/github-app-token/create-token.js');
const CONFIG = {
azureSubscriptionId: 'subscription-id',
keyVaultName: 'vault-name',
keyName: 'key-name',
githubAppClientId: 'client-id',
githubAppInstallationId: '12345',
targetRepository: 'microsoft/agent-framework',
};
describe('GitHub App token creation', () => {
it('creates a short-lived GitHub App JWT', () => {
const signingInput = createJwtSigningInput('client-id', 1_000);
const [encodedHeader, encodedPayload] = signingInput.split('.');
const header = JSON.parse(Buffer.from(encodedHeader, 'base64url').toString());
const payload = JSON.parse(Buffer.from(encodedPayload, 'base64url').toString());
assert.deepEqual(header, { alg: 'RS256', typ: 'JWT' });
assert.deepEqual(payload, { iat: 940, exp: 1_540, iss: 'client-id' });
});
it('converts Key Vault signatures to unpadded base64url', () => {
assert.equal(base64ToBase64Url('+/8='), '-_8');
});
it('requests a repository-scoped installation token', async () => {
let request;
const token = await createInstallationToken(CONFIG, {
nowSeconds: 1_000,
execute: (command, args) => {
assert.equal(command, 'az');
assert.ok(args.includes('RS256'));
return '+/8=\n';
},
fetch: async (url, options) => {
request = { url, options };
return {
ok: true,
json: async () => ({ token: 'installation-token' }),
};
},
});
assert.equal(token, 'installation-token');
assert.equal(request.url, 'https://api.github.com/app/installations/12345/access_tokens');
assert.match(request.options.headers.Authorization, /^Bearer [^.]+\.[^.]+\.-_8$/);
assert.deepEqual(JSON.parse(request.options.body), {
repositories: ['agent-framework'],
permissions: {
contents: 'read',
issues: 'write',
members: 'read',
pull_requests: 'write',
},
});
});
it('rejects incomplete configuration', () => {
assert.throws(
() => readConfig({}),
/Required GitHub App authentication configuration is missing/,
);
});
it('rejects repository values with extra path segments before signing', async () => {
let signed = false;
await assert.rejects(
createInstallationToken(
{ ...CONFIG, targetRepository: 'microsoft/agent-framework/extra' },
{
execute: () => {
signed = true;
return '+/8=\n';
},
},
),
/TARGET_REPOSITORY must use the owner\/repository format/,
);
assert.equal(signed, false);
});
it('rejects an empty Key Vault signature', async () => {
await assert.rejects(
createInstallationToken(CONFIG, {
execute: () => '\n',
}),
/Key Vault returned an empty signature/,
);
});
it('rejects a failed GitHub token request', async () => {
await assert.rejects(
createInstallationToken(CONFIG, {
execute: () => '+/8=\n',
fetch: async () => ({ ok: false, status: 403 }),
}),
/GitHub installation token request failed with HTTP 403/,
);
});
it('rejects an empty GitHub installation token', async () => {
await assert.rejects(
createInstallationToken(CONFIG, {
execute: () => '+/8=\n',
fetch: async () => ({
ok: true,
json: async () => ({ token: '' }),
}),
}),
/GitHub returned an empty installation token/,
);
});
});
-341
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@@ -1,341 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
/**
* Tests for pr_limit_moderation.js.
*
* Run with: node --test .github/tests/test_pr_limit_moderation.js
*/
const { describe, it } = require('node:test');
const assert = require('node:assert/strict');
const { enforcePrLimit } = require('../scripts/pr_limit_moderation.js');
// ---------------------------------------------------------------------------
// Helpers
// ---------------------------------------------------------------------------
function createContext({ author = 'community-user', authorType = 'User', labels = [], number = 123 } = {}) {
return {
repo: {
owner: 'microsoft',
repo: 'agent-framework',
},
payload: {
pull_request: {
number,
labels: labels.map((name) => ({ name })),
user: {
login: author,
type: authorType,
},
},
},
};
}
function createCore() {
const messages = [];
return {
messages,
info(message) {
messages.push(message);
},
};
}
function createGithub({
itemNumbers,
labelExists = true,
pullRequests = createPullRequestPage({ numbers: itemNumbers }),
}) {
const calls = [];
return {
calls,
async paginate(method, params) {
calls.push({ api: 'paginate', method, params });
return pullRequests;
},
rest: {
issues: {
async getLabel(params) {
calls.push({ api: 'issues.getLabel', params });
if (!labelExists) {
const error = new Error('Not Found');
error.status = 404;
throw error;
}
return { data: { name: params.name } };
},
async createLabel(params) {
calls.push({ api: 'issues.createLabel', params });
return { data: { name: params.name } };
},
async addLabels(params) {
calls.push({ api: 'issues.addLabels', params });
return { data: [] };
},
async createComment(params) {
calls.push({ api: 'issues.createComment', params });
return { data: { id: 1 } };
},
},
pulls: {
async list(params) {
calls.push({ api: 'pulls.list', params });
return { data: pullRequests };
},
async update(params) {
calls.push({ api: 'pulls.update', params });
return { data: { state: params.state } };
},
},
},
};
}
function createPullRequestPage({ author = 'community-user', numbers }) {
return numbers.map((number) => ({
number,
user: {
login: author,
},
}));
}
// ---------------------------------------------------------------------------
// PR limit enforcement
// ---------------------------------------------------------------------------
describe('PR limit enforcement', () => {
it('does not close the PR when the author is at the open PR limit', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 123],
});
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, false);
assert.equal(result.openPrCount, 10);
assert.deepEqual(
github.calls.map((call) => call.api),
['paginate'],
);
});
it('counts the new PR when the pull list includes it', async () => {
const github = createGithub({
itemNumbers: [123, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
});
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.equal(result.openPrCount, 11);
assert.deepEqual(
github.calls.map((call) => call.api),
[
'paginate',
'issues.getLabel',
'issues.addLabels',
'issues.createComment',
'pulls.update',
],
);
});
it('counts the current PR on top of existing open PRs', async () => {
const github = createGithub({
itemNumbers: [123, ...Array.from({ length: 24 }, (_, index) => index + 1)],
pullRequests: createPullRequestPage({
numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
}),
});
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.equal(result.openPrCount, 26);
const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
assert.match(comment, /This PR would put you at 26 open pull requests/);
});
it('creates the label when it does not already exist', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
labelExists: false,
});
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.deepEqual(
github.calls.map((call) => call.api),
[
'paginate',
'issues.getLabel',
'issues.createLabel',
'issues.addLabels',
'issues.createComment',
'pulls.update',
],
);
assert.equal(
github.calls.find((call) => call.api === 'issues.createLabel').params.name,
'too-many-prs',
);
});
it('tolerates a 422 race when creating the label', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
labelExists: false,
});
github.rest.issues.createLabel = async (params) => {
github.calls.push({ api: 'issues.createLabel', params });
const error = new Error('Validation Failed');
error.status = 422;
throw error;
};
const result = await enforcePrLimit({
github,
context: createContext(),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.deepEqual(
github.calls.map((call) => call.api),
[
'paginate',
'issues.getLabel',
'issues.createLabel',
'issues.addLabels',
'issues.createComment',
'pulls.update',
],
);
});
it('uses a diplomatic close message with the configured limit', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
pullRequests: createPullRequestPage({
author: 'octo-contributor',
numbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
}),
});
await enforcePrLimit({
github,
context: createContext({ author: 'octo-contributor' }),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
const comment = github.calls.find((call) => call.api === 'issues.createComment').params.body;
assert.match(comment, /Thank you for your contribution/);
assert.match(comment, /limit community contributors to 10 open pull requests/);
assert.match(comment, /@octo-contributor/);
assert.match(comment, /`pr-limit-exempt` label and reopen/);
});
it('does not close an exempt PR when it is reopened', async () => {
const github = createGithub({
itemNumbers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 123],
});
const result = await enforcePrLimit({
github,
context: createContext({ labels: ['PR-LIMIT-EXEMPT'] }),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, false);
assert.equal(result.exempt, true);
assert.equal(result.openPrCount, null);
assert.deepEqual(github.calls, []);
});
it('does not close Dependabot PRs', async () => {
const github = createGithub({
itemNumbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
pullRequests: createPullRequestPage({
author: 'dependabot[bot]',
numbers: [123, ...Array.from({ length: 25 }, (_, index) => index + 1)],
}),
});
const result = await enforcePrLimit({
github,
context: createContext({ author: 'dependabot[bot]', authorType: 'Bot' }),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, false);
assert.equal(result.dependabotExempt, true);
assert.equal(result.openPrCount, null);
assert.deepEqual(github.calls, []);
});
it('counts the current PR when the author has more than one page of open PRs', async () => {
const github = createGithub({
itemNumbers: [123, ...Array.from({ length: 100 }, (_, index) => index + 1)],
});
const result = await enforcePrLimit({
github,
context: createContext({ number: 123 }),
core: createCore(),
exemptLabelName: 'pr-limit-exempt',
maxOpenPrs: 10,
labelName: 'too-many-prs',
});
assert.equal(result.closed, true);
assert.equal(result.openPrCount, 101);
});
});
-134
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@@ -1,134 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
# ruff:file-ignore[implicit-namespace-package, undocumented-public-class, undocumented-public-method]
from __future__ import annotations
import importlib.util
import sys
import tempfile
import unittest
from pathlib import Path
SCRIPT_PATH = Path(__file__).parents[1] / "scripts" / "python_check_coverage.py"
SPEC = importlib.util.spec_from_file_location("python_check_coverage", SCRIPT_PATH)
if SPEC is None or SPEC.loader is None:
raise RuntimeError(f"Unable to load {SCRIPT_PATH}")
coverage_checker = importlib.util.module_from_spec(SPEC)
sys.modules[SPEC.name] = coverage_checker
SPEC.loader.exec_module(coverage_checker)
class CoveragePolicyTests(unittest.TestCase):
def setUp(self) -> None:
self.temp_dir = tempfile.TemporaryDirectory()
self.root = Path(self.temp_dir.name)
self.packages_dir = self.root / "packages"
self.packages_dir.mkdir()
def tearDown(self) -> None:
self.temp_dir.cleanup()
def write_package(self, directory: str, name: str, status: str) -> None:
package_dir = self.packages_dir / directory
package_dir.mkdir()
(package_dir / "pyproject.toml").write_text(
f"""
[project]
name = "{name}"
classifiers = ["Development Status :: {status}"]
""".strip()
)
def write_coverage(self, files: dict[str, list[int]]) -> Path:
classes = []
total_lines = 0
covered_lines = 0
for file_path, hits in files.items():
lines = []
for line_number, hit_count in enumerate(hits, start=1):
total_lines += 1
covered_lines += hit_count > 0
lines.append(f'<line number="{line_number}" hits="{hit_count}"/>')
classes.append(f'<class filename="{file_path}"><lines>{"".join(lines)}</lines></class>')
line_rate = covered_lines / total_lines if total_lines else 0
xml_path = self.root / "coverage.xml"
xml_path.write_text(
f"""
<coverage line-rate="{line_rate}" branch-rate="0">
<packages>
<package name="test">
<classes>{"".join(classes)}</classes>
</package>
</packages>
</coverage>
""".strip()
)
return xml_path
def test_load_package_policies_uses_lifecycle_exemptions(self) -> None:
self.write_package("alpha", "agent-framework-alpha", "3 - Alpha")
self.write_package("beta", "agent-framework-beta", "4 - Beta")
self.write_package("stable", "agent-framework-stable", "5 - Production/Stable")
self.write_package("devui", "agent-framework-devui", "4 - Beta")
self.write_package("lab", "agent-framework-lab", "4 - Beta")
policies = {policy.directory: policy for policy in coverage_checker.load_package_policies(self.packages_dir)}
self.assertFalse(policies["alpha"].enforced)
self.assertTrue(policies["beta"].enforced)
self.assertTrue(policies["stable"].enforced)
self.assertTrue(policies["devui"].exempt)
self.assertFalse(policies["devui"].enforced)
self.assertTrue(policies["lab"].exempt)
self.assertFalse(policies["lab"].enforced)
def test_load_package_policies_rejects_missing_lifecycle(self) -> None:
package_dir = self.packages_dir / "missing"
package_dir.mkdir()
(package_dir / "pyproject.toml").write_text('[project]\nname = "agent-framework-missing"\n')
with self.assertRaisesRegex(ValueError, "exactly one Development Status"):
coverage_checker.load_package_policies(self.packages_dir)
def test_parse_coverage_aggregates_nested_modules_by_distribution(self) -> None:
xml_path = self.write_coverage({
"packages/core/agent_framework/_agents.py": [1, 0],
"packages/core/agent_framework/_workflows/_workflow.py": [1, 1],
})
package_stats, _, _ = coverage_checker.parse_coverage_xml(xml_path)
self.assertEqual(package_stats["core"].lines_valid, 4)
self.assertEqual(package_stats["core"].lines_covered, 3)
def test_beta_package_below_threshold_fails(self) -> None:
self.write_package("beta", "agent-framework-beta", "4 - Beta")
xml_path = self.write_coverage({"packages/beta/agent_framework_beta/client.py": [1, 0]})
self.assertFalse(coverage_checker.check_coverage(xml_path, 85, self.packages_dir))
def test_missing_beta_package_fails(self) -> None:
self.write_package("beta", "agent-framework-beta", "4 - Beta")
xml_path = self.write_coverage({})
self.assertFalse(coverage_checker.check_coverage(xml_path, 85, self.packages_dir))
def test_alpha_and_exempt_packages_do_not_fail(self) -> None:
self.write_package("alpha", "agent-framework-alpha", "3 - Alpha")
self.write_package("devui", "agent-framework-devui", "4 - Beta")
self.write_package("lab", "agent-framework-lab", "4 - Beta")
xml_path = self.write_coverage({})
self.assertTrue(coverage_checker.check_coverage(xml_path, 85, self.packages_dir))
def test_beta_package_at_threshold_passes(self) -> None:
self.write_package("beta", "agent-framework-beta", "4 - Beta")
xml_path = self.write_coverage({"packages/beta/agent_framework_beta/client.py": [1] * 17 + [0] * 3})
self.assertTrue(coverage_checker.check_coverage(xml_path, 85, self.packages_dir))
if __name__ == "__main__":
unittest.main()
@@ -1,212 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
/**
* Tests for resolve_integration_test_target.js.
*
* Run with: node --test .github/tests/test_resolve_integration_test_target.js
*/
const { describe, it } = require('node:test');
const assert = require('node:assert/strict');
const resolveIntegrationTestTarget = require('../scripts/resolve_integration_test_target.js');
const HEAD_SHA = 'a'.repeat(40);
const BASE_SHA = 'b'.repeat(40);
function review({
id,
login,
state = 'APPROVED',
commitId = HEAD_SHA,
submittedAt = `2026-07-13T00:00:${String(id).padStart(2, '0')}Z`,
}) {
return {
id,
state,
commit_id: commitId,
submitted_at: submittedAt,
user: { login },
};
}
function createMocks({
pullState = 'open',
pullAuthor = 'contributor',
reviews = [],
permissions = {},
} = {}) {
const core = {
infoMessages: [],
info(message) {
this.infoMessages.push(message);
},
};
const context = {
repo: { owner: 'microsoft', repo: 'agent-framework' },
};
const github = {
paginate: async () => reviews,
rest: {
pulls: {
get: async () => ({
data: {
state: pullState,
user: { login: pullAuthor },
head: { sha: HEAD_SHA },
base: { sha: BASE_SHA },
},
}),
listReviews: async () => {},
},
repos: {
get: async () => ({ data: { default_branch: 'main' } }),
getBranch: async ({ branch }) => ({
data: { commit: { sha: branch === 'main' ? BASE_SHA : HEAD_SHA } },
}),
getCollaboratorPermissionLevel: async ({ username }) => ({
data: permissions[username] || {
permission: 'read',
user: { permissions: { push: false } },
},
}),
},
},
};
return { core, context, github };
}
const WRITE_PERMISSION = {
permission: 'write',
user: { permissions: { push: true } },
};
describe('input validation', () => {
it('rejects missing and conflicting targets', async () => {
const mocks = createMocks();
await assert.rejects(
() => resolveIntegrationTestTarget(mocks),
/provide either a PR number or a branch name/,
);
await assert.rejects(
() => resolveIntegrationTestTarget({ ...mocks, prNumber: '1', branch: 'feature' }),
/not both/,
);
});
it('rejects invalid PR numbers and branch names', async () => {
const mocks = createMocks();
await assert.rejects(
() => resolveIntegrationTestTarget({ ...mocks, prNumber: '1;echo' }),
/Invalid PR number/,
);
await assert.rejects(
() => resolveIntegrationTestTarget({ ...mocks, branch: 'feature branch' }),
/Invalid branch name/,
);
});
});
describe('pull request resolution', () => {
it('pins an open PR with two fresh write-capable approvals', async () => {
const mocks = createMocks({
reviews: [
review({ id: 1, login: 'maintainer-one' }),
review({ id: 2, login: 'maintainer-two' }),
],
permissions: {
'maintainer-one': WRITE_PERMISSION,
'maintainer-two': WRITE_PERMISSION,
},
});
const result = await resolveIntegrationTestTarget({ ...mocks, prNumber: '123' });
assert.deepEqual(result, {
baseRef: BASE_SHA,
checkoutRef: HEAD_SHA,
description: 'PR #123',
});
});
it('rejects closed PRs', async () => {
const mocks = createMocks({ pullState: 'closed' });
await assert.rejects(
() => resolveIntegrationTestTarget({ ...mocks, prNumber: '123' }),
/is not open/,
);
});
it('ignores stale, self, and read-only approvals', async () => {
const mocks = createMocks({
reviews: [
review({ id: 1, login: 'stale', commitId: 'c'.repeat(40) }),
review({ id: 2, login: 'contributor' }),
review({ id: 3, login: 'reader' }),
review({ id: 4, login: 'maintainer' }),
],
permissions: {
contributor: WRITE_PERMISSION,
reader: { permission: 'read', user: { permissions: { push: false } } },
maintainer: WRITE_PERMISSION,
},
});
await assert.rejects(
() => resolveIntegrationTestTarget({ ...mocks, prNumber: '123' }),
/found 1/,
);
});
it('uses each reviewer latest decisive review and ignores later comments', async () => {
const mocks = createMocks({
reviews: [
review({ id: 1, login: 'changes-requested' }),
review({ id: 2, login: 'changes-requested', state: 'CHANGES_REQUESTED' }),
review({ id: 3, login: 'maintainer-one' }),
review({ id: 4, login: 'maintainer-one', state: 'COMMENTED' }),
review({ id: 5, login: 'maintainer-two' }),
],
permissions: {
'changes-requested': WRITE_PERMISSION,
'maintainer-one': WRITE_PERMISSION,
'maintainer-two': WRITE_PERMISSION,
},
});
const result = await resolveIntegrationTestTarget({ ...mocks, prNumber: '123' });
assert.equal(result.checkoutRef, HEAD_SHA);
});
it('does not count a dismissed approval', async () => {
const mocks = createMocks({
reviews: [
review({ id: 1, login: 'dismissed', state: 'DISMISSED' }),
review({ id: 2, login: 'maintainer' }),
],
permissions: {
dismissed: WRITE_PERMISSION,
maintainer: WRITE_PERMISSION,
},
});
await assert.rejects(
() => resolveIntegrationTestTarget({ ...mocks, prNumber: '123' }),
/found 1/,
);
});
});
describe('branch resolution', () => {
it('pins base-repository branches and their comparison base to SHAs', async () => {
const mocks = createMocks();
const result = await resolveIntegrationTestTarget({ ...mocks, branch: 'feature/test' });
assert.deepEqual(result, {
baseRef: BASE_SHA,
checkoutRef: HEAD_SHA,
description: 'branch feature/test',
});
});
});
-297
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@@ -1,297 +0,0 @@
# Copyright (c) Microsoft. All rights reserved.
"""Tests for stale_issue_pr_ping.py."""
from __future__ import annotations
import os
import sys
from datetime import datetime, timezone, timedelta
from unittest.mock import MagicMock, patch
import pytest
# Ensure the script directory is importable
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "scripts"))
from stale_issue_pr_ping import (
PINGED_LABEL,
PING_COMMENT,
TRIGGER_LABEL,
author_replied_after,
find_last_team_comment,
get_team_members,
main,
ping,
should_ping,
)
TEAM = {"alice", "bob"}
NOW = datetime(2026, 3, 15, 12, 0, 0, tzinfo=timezone.utc)
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _make_comment(login: str | None, created_at: datetime) -> MagicMock:
"""Create a mock IssueComment."""
c = MagicMock()
if login is None:
c.user = None
else:
c.user = MagicMock()
c.user.login = login
c.created_at = created_at
return c
def _make_label(name: str) -> MagicMock:
lbl = MagicMock()
lbl.name = name
return lbl
def _make_issue(
author: str = "external",
labels: list[str] | None = None,
comment_count: int = 1,
comments: list[MagicMock] | None = None,
pull_request: bool = False,
number: int = 42,
) -> MagicMock:
issue = MagicMock()
issue.user = MagicMock()
issue.user.login = author
issue.number = number
# Default to having the trigger label, since the API query pre-filters.
if labels is None:
labels = [TRIGGER_LABEL]
issue.labels = [_make_label(n) for n in labels]
issue.comments = comment_count
issue.pull_request = MagicMock() if pull_request else None
if comments is not None:
issue.get_comments.return_value = comments
return issue
# ---------------------------------------------------------------------------
# find_last_team_comment
# ---------------------------------------------------------------------------
class TestFindLastTeamComment:
def test_returns_last_team_comment(self):
c1 = _make_comment("alice", datetime(2026, 3, 1, tzinfo=timezone.utc))
c2 = _make_comment("external", datetime(2026, 3, 2, tzinfo=timezone.utc))
c3 = _make_comment("bob", datetime(2026, 3, 3, tzinfo=timezone.utc))
assert find_last_team_comment([c1, c2, c3], TEAM) is c3
def test_returns_none_when_no_team_comments(self):
c1 = _make_comment("external", datetime(2026, 3, 1, tzinfo=timezone.utc))
assert find_last_team_comment([c1], TEAM) is None
def test_returns_none_for_empty_list(self):
assert find_last_team_comment([], TEAM) is None
def test_skips_deleted_user(self):
c1 = _make_comment(None, datetime(2026, 3, 1, tzinfo=timezone.utc))
c2 = _make_comment("alice", datetime(2026, 3, 2, tzinfo=timezone.utc))
assert find_last_team_comment([c1, c2], TEAM) is c2
def test_only_deleted_users(self):
c1 = _make_comment(None, datetime(2026, 3, 1, tzinfo=timezone.utc))
assert find_last_team_comment([c1], TEAM) is None
# ---------------------------------------------------------------------------
# author_replied_after
# ---------------------------------------------------------------------------
class TestAuthorRepliedAfter:
def test_author_replied(self):
after = datetime(2026, 3, 1, tzinfo=timezone.utc)
c1 = _make_comment("external", datetime(2026, 3, 2, tzinfo=timezone.utc))
assert author_replied_after([c1], "external", after) is True
def test_author_not_replied(self):
after = datetime(2026, 3, 5, tzinfo=timezone.utc)
c1 = _make_comment("external", datetime(2026, 3, 2, tzinfo=timezone.utc))
assert author_replied_after([c1], "external", after) is False
def test_different_user_replied(self):
after = datetime(2026, 3, 1, tzinfo=timezone.utc)
c1 = _make_comment("someone_else", datetime(2026, 3, 2, tzinfo=timezone.utc))
assert author_replied_after([c1], "external", after) is False
def test_deleted_user_comment(self):
after = datetime(2026, 3, 1, tzinfo=timezone.utc)
c1 = _make_comment(None, datetime(2026, 3, 2, tzinfo=timezone.utc))
assert author_replied_after([c1], "external", after) is False
# ---------------------------------------------------------------------------
# should_ping
# ---------------------------------------------------------------------------
class TestShouldPing:
def test_should_ping_stale_issue(self):
team_comment = _make_comment("alice", NOW - timedelta(days=5))
issue = _make_issue(comments=[team_comment], comment_count=1)
assert should_ping(issue, TEAM, 4, NOW) is True
def test_skip_team_member_author(self):
issue = _make_issue(author="alice", labels=[TRIGGER_LABEL], comment_count=1)
assert should_ping(issue, TEAM, 4, NOW) is False
def test_skip_already_pinged(self):
issue = _make_issue(labels=[TRIGGER_LABEL, PINGED_LABEL], comment_count=1)
assert should_ping(issue, TEAM, 4, NOW) is False
def test_skip_no_comments(self):
issue = _make_issue(comment_count=0)
assert should_ping(issue, TEAM, 4, NOW) is False
def test_skip_no_team_comment(self):
c = _make_comment("external", NOW - timedelta(days=5))
issue = _make_issue(comments=[c], comment_count=1)
assert should_ping(issue, TEAM, 4, NOW) is False
def test_skip_author_replied(self):
team_c = _make_comment("alice", NOW - timedelta(days=5))
author_c = _make_comment("external", NOW - timedelta(days=3))
issue = _make_issue(comments=[team_c, author_c], comment_count=2)
assert should_ping(issue, TEAM, 4, NOW) is False
def test_skip_not_enough_days(self):
team_comment = _make_comment("alice", NOW - timedelta(days=2))
issue = _make_issue(comments=[team_comment], comment_count=1)
assert should_ping(issue, TEAM, 4, NOW) is False
def test_aware_datetime_handled(self):
"""Timezone-aware datetimes should not be mangled by astimezone."""
aware_dt = (NOW - timedelta(days=5)).replace(tzinfo=timezone.utc)
team_comment = _make_comment("alice", aware_dt)
issue = _make_issue(comments=[team_comment], comment_count=1)
assert should_ping(issue, TEAM, 4, NOW) is True
def test_naive_datetime_handled(self):
"""Naive datetimes (pre-PyGithub 2.x) should be handled by astimezone."""
naive_dt = (NOW - timedelta(days=5)).replace(tzinfo=None)
team_comment = _make_comment("alice", naive_dt)
issue = _make_issue(comments=[team_comment], comment_count=1)
# astimezone on naive datetime treats it as local time; just verify no crash
should_ping(issue, TEAM, 4, NOW)
# ---------------------------------------------------------------------------
# ping
# ---------------------------------------------------------------------------
class TestPing:
def test_dry_run(self, capsys):
issue = _make_issue()
assert ping(issue, dry_run=True) is True
issue.create_comment.assert_not_called()
assert "DRY RUN" in capsys.readouterr().out
def test_success(self, capsys):
issue = _make_issue()
assert ping(issue, dry_run=False) is True
issue.create_comment.assert_called_once()
issue.add_to_labels.assert_called_once_with(PINGED_LABEL)
@patch("stale_issue_pr_ping.time.sleep")
def test_retry_on_failure(self, mock_sleep):
issue = _make_issue()
issue.create_comment.side_effect = [Exception("net error"), None]
assert ping(issue, dry_run=False) is True
assert issue.create_comment.call_count == 2
mock_sleep.assert_called_once()
@patch("stale_issue_pr_ping.time.sleep")
def test_idempotent_retry_skips_comment_on_label_failure(self, mock_sleep):
"""If create_comment succeeds but add_to_labels fails, retry should not re-comment."""
issue = _make_issue()
issue.add_to_labels.side_effect = [Exception("label error"), None]
assert ping(issue, dry_run=False) is True
# Comment should only be created once even though there were 2 attempts
assert issue.create_comment.call_count == 1
assert issue.add_to_labels.call_count == 2
@patch("stale_issue_pr_ping.time.sleep")
def test_all_retries_fail(self, mock_sleep):
issue = _make_issue()
issue.create_comment.side_effect = Exception("permanent error")
assert ping(issue, dry_run=False) is False
assert issue.create_comment.call_count == 3
# ---------------------------------------------------------------------------
# get_team_members
# ---------------------------------------------------------------------------
class TestGetTeamMembers:
def test_success(self):
g = MagicMock()
member = MagicMock()
member.login = "alice"
g.get_organization.return_value.get_team_by_slug.return_value.get_members.return_value = [member]
assert get_team_members(g, "org", "my-team") == {"alice"}
def test_403_error_message(self, capsys):
from github import GithubException
g = MagicMock()
g.get_organization.return_value.get_team_by_slug.side_effect = GithubException(
403, {"message": "Forbidden"}, None
)
with pytest.raises(SystemExit):
get_team_members(g, "org", "my-team")
out = capsys.readouterr().out
assert "read:org" in out
assert "403" in out
def test_404_error_message(self, capsys):
from github import GithubException
g = MagicMock()
g.get_organization.return_value.get_team_by_slug.side_effect = GithubException(
404, {"message": "Not Found"}, None
)
with pytest.raises(SystemExit):
get_team_members(g, "org", "bad-slug")
out = capsys.readouterr().out
assert "read:org" in out
assert "bad-slug" in out
def test_generic_error(self, capsys):
g = MagicMock()
g.get_organization.side_effect = RuntimeError("boom")
with pytest.raises(SystemExit):
get_team_members(g, "org", "team")
# ---------------------------------------------------------------------------
# main env var validation
# ---------------------------------------------------------------------------
class TestMain:
@patch.dict(os.environ, {
"GITHUB_TOKEN": "tok",
"GITHUB_REPOSITORY": "org/repo",
"TEAM_SLUG": "my-team",
"DAYS_THRESHOLD": "abc",
}, clear=True)
def test_invalid_days_threshold(self, capsys):
with pytest.raises(SystemExit):
main()
assert "numeric" in capsys.readouterr().out
@patch.dict(os.environ, {
"GITHUB_TOKEN": "tok",
"GITHUB_REPOSITORY": "org/repo",
}, clear=True)
def test_missing_team_slug(self, capsys):
with pytest.raises(SystemExit):
main()
assert "TEAM_SLUG" in capsys.readouterr().out
@@ -23,16 +23,16 @@ For each project that needs to be migrated, you need to do the following:
- Identify the specific Semantic Kernel agent types being used:
- `ChatCompletionAgent``ChatClientAgent`
- `OpenAIAssistantAgent``assistantsClient.CreateAIAgent()` (via OpenAI Assistants client extension)
- `AzureAIAgent``persistentAgentsClient.CreateAIAgent()` (via Microsoft Foundry client extension)
- `AzureAIAgent``persistentAgentsClient.CreateAIAgent()` (via Azure AI Foundry client extension)
- `OpenAIResponseAgent``responsesClient.CreateAIAgent()` (via OpenAI Responses client extension)
- `A2AAgent``AIAgent` (via A2A card resolver)
- `BedrockAgent` → Custom implementation required (not supported)
- Determine if agents are being created new or retrieved from hosted services:
- **New agents**: Use `CreateAIAgent()` methods
- **Existing hosted agents**: Use `GetAIAgent(agentId)` methods for OpenAI Assistants and Microsoft Foundry
- **Existing hosted agents**: Use `GetAIAgent(agentId)` methods for OpenAI Assistants and Azure AI Foundry
</agent_type_identification>
- Determine the AI provider being used (OpenAI, Azure OpenAI, Microsoft Foundry, etc.)
- Determine the AI provider being used (OpenAI, Azure OpenAI, Azure AI Foundry, etc.)
- Analyze tool/function registration patterns
- Review thread management and invocation patterns
@@ -90,7 +90,7 @@ below in wrong order or skip any of them):
you generate report when migration complete. Report should contain:
- all project dependencies changes (mention what was changed, added or removed, including provider-specific packages)
- all code files that were changed (mention what was changed in the file, if it was not changed, just mention that the file was not changed)
- provider-specific migration patterns used (OpenAI, Azure OpenAI, Microsoft Foundry, A2A, ONNX, etc.)
- provider-specific migration patterns used (OpenAI, Azure OpenAI, Azure AI Foundry, A2A, ONNX, etc.)
- all cases where you could not convert the code because of unsupported features and you were unable to find a workaround
- unsupported providers that require custom implementation (Bedrock, CopilotStudio)
- breaking glass pattern migrations (InnerContent → RawRepresentation) and any CodeInterpreter or advanced tool usage
@@ -223,7 +223,7 @@ using Microsoft.Agents.AI;
// Provider-specific namespaces (add only if needed):
using OpenAI; // For OpenAI provider
using Azure.AI.OpenAI; // For Azure OpenAI provider
using Azure.AI.Agents.Persistent; // For Microsoft Foundry provider
using Azure.AI.Agents.Persistent; // For Azure AI Foundry provider
using Azure.Identity; // For Azure authentication
```
</configuration_changes>
@@ -499,7 +499,7 @@ For every thread created if there's intent to cleanup, the caller should track a
var assistantClient = new OpenAIClient(apiKey).GetAssistantClient();
await assistantClient.DeleteThreadAsync(thread.ConversationId);
// For Microsoft Foundry (when cleanup is needed):
// For Azure AI Foundry (when cleanup is needed):
var persistentClient = new PersistentAgentsClient(endpoint, credential);
await persistentClient.Threads.DeleteThreadAsync(thread.ConversationId);
@@ -514,7 +514,7 @@ await persistentClient.Threads.DeleteThreadAsync(thread.ConversationId);
1. Remove `thread.DeleteAsync()` calls
2. Use provider-specific client for cleanup when required
3. Access thread ID via `thread.ConversationId` property
4. Only implement cleanup for providers that require it (Assistants, Microsoft Foundry)
4. Only implement cleanup for providers that require it (Assistants, Azure AI Foundry)
</api_changes>
### Provider-Specific Creation Patterns
@@ -550,13 +550,13 @@ AIAgent agent = new AzureOpenAIClient(endpoint, credential)
.CreateAIAgent(instructions: instructions);
```
**Microsoft Foundry (New):**
**Azure AI Foundry (New):**
```csharp
AIAgent agent = new PersistentAgentsClient(endpoint, credential)
.CreateAIAgent(model: deploymentName, instructions: instructions);
```
**Microsoft Foundry (Existing):**
**Azure AI Foundry (Existing):**
```csharp
AIAgent agent = await new PersistentAgentsClient(endpoint, credential)
.GetAIAgentAsync(agentId);
@@ -1079,7 +1079,7 @@ AgentThread thread = agent.GetNewThread();
```
</api_changes>
### 4. Microsoft Foundry (AzureAIAgent) Migration
### 4. Azure AI Foundry (AzureAIAgent) Migration
<configuration_changes>
**Remove Semantic Kernel Packages:**
+4 -4
View File
@@ -32,13 +32,13 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
persist-credentials: false
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@99df26d4f13ea111d4ec1a7dddef6063f76b97e9 # v4
uses: github/codeql-action/init@v4
with:
languages: ${{ matrix.language }}
# If you wish to specify custom queries, you can do so here or in a config file.
@@ -51,7 +51,7 @@ jobs:
# Autobuild attempts to build any compiled languages (C/C++, C#, Go, or Java).
# If this step fails, then you should remove it and run the build manually (see below)
- name: Autobuild
uses: github/codeql-action/autobuild@99df26d4f13ea111d4ec1a7dddef6063f76b97e9 # v4
uses: github/codeql-action/autobuild@v4
# ️ Command-line programs to run using the OS shell.
# 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
@@ -64,6 +64,6 @@ jobs:
# ./location_of_script_within_repo/buildscript.sh
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@99df26d4f13ea111d4ec1a7dddef6063f76b97e9 # v4
uses: github/codeql-action/analyze@v4
with:
category: "/language:${{matrix.language}}"
-181
View File
@@ -1,181 +0,0 @@
name: DevFlow PR Review
on:
pull_request_target:
types:
- opened
- reopened
- ready_for_review
workflow_dispatch:
inputs:
pr_number:
description: Pull request number to review
required: true
type: string
permissions:
contents: read
id-token: write
issues: write
pull-requests: write
concurrency:
group: devflow-pr-review-${{ github.repository }}-${{ github.event.pull_request.number || inputs.pr_number || github.run_id }}
cancel-in-progress: true
env:
DEVFLOW_REPOSITORY: ${{ vars.DF_REPO }}
DEVFLOW_REF: main
TARGET_REPO_PATH: ${{ github.workspace }}/target-repo
DEVFLOW_PATH: ${{ github.workspace }}/devflow
jobs:
team_check:
runs-on: ubuntu-latest
environment: github-app-auth
outputs:
is_team_member: ${{ steps.check.outputs.is_team_member }}
pr_number: ${{ steps.pr.outputs.pr_number }}
pr_url: ${{ steps.pr.outputs.pr_url }}
repo: ${{ steps.pr.outputs.repo }}
steps:
- name: Resolve PR metadata
id: pr
shell: bash
env:
PR_HTML_URL: ${{ github.event.pull_request.html_url }}
PR_NUMBER_EVENT: ${{ github.event.pull_request.number }}
PR_NUMBER_INPUT: ${{ inputs.pr_number }}
run: |
set -euo pipefail
if [[ "${GITHUB_EVENT_NAME}" == "pull_request_target" ]]; then
pr_number="${PR_NUMBER_EVENT}"
pr_url="${PR_HTML_URL}"
else
pr_number="${PR_NUMBER_INPUT}"
pr_url="https://github.com/${GITHUB_REPOSITORY}/pull/${pr_number}"
fi
if [[ ! "$pr_number" =~ ^[1-9][0-9]*$ ]]; then
echo "Could not determine PR number; for workflow_dispatch runs, the 'pr_number' input is required when not running on pull_request_target." >&2
exit 1
fi
echo "pr_url=${pr_url}" >> "$GITHUB_OUTPUT"
echo "pr_number=${pr_number}" >> "$GITHUB_OUTPUT"
echo "repo=${GITHUB_REPOSITORY}" >> "$GITHUB_OUTPUT"
- name: Checkout GitHub automation
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ github.event_name == 'pull_request_target' && github.event.pull_request.base.sha || github.sha }}
sparse-checkout: |
.github/actions/github-app-token
.github/scripts/check_team_membership.js
fetch-depth: 1
persist-credentials: false
- name: Get GitHub automation token
id: github-auth
uses: ./.github/actions/github-app-token
with:
mode: ${{ vars.GH_APP_AUTH_MODE }}
azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
key-name: ${{ secrets.GH_APP_KEY_NAME }}
github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
repository: ${{ github.repository }}
fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
- name: Check PR author team membership
id: check
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
env:
TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
PR_NUMBER: ${{ steps.pr.outputs.pr_number }}
with:
github-token: ${{ steps.github-auth.outputs.token }}
script: |
const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
const { author, isTeamMember } = await checkTeamMembership({
github,
context,
core,
teamSlug: process.env.TEAM_NAME,
issueNumber: process.env.PR_NUMBER,
});
core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
if (isTeamMember) {
core.info(`Author ${author} is a team member; proceeding with review.`);
} else {
core.info(`Author ${author} is not a member of ${process.env.TEAM_NAME}; skipping review.`);
}
review:
runs-on: ubuntu-latest
needs: team_check
if: ${{ needs.team_check.outputs.is_team_member == 'true' }}
permissions:
contents: read
issues: write
pull-requests: write
timeout-minutes: 60
# Advisory check: failures here should not block the PR. The reviewer
# posts comments as a best-effort signal; if the pipeline breaks, the
# PR author should still be able to merge without a red required check.
continue-on-error: true
steps:
# Safe checkout: base repo only, not the untrusted PR head.
- name: Checkout target repo base
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ github.event_name == 'pull_request_target' && github.event.pull_request.base.sha || github.sha }}
fetch-depth: 0
persist-credentials: false
path: target-repo
# Private DevFlow checkout: the PAT/token grants access to this repo's code.
- name: Checkout DevFlow
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
repository: ${{ env.DEVFLOW_REPOSITORY }}
ref: ${{ env.DEVFLOW_REF }}
token: ${{ secrets.DEVFLOW_TOKEN }}
fetch-depth: 1
persist-credentials: false
path: devflow
- name: Set up Python
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: "3.13"
- name: Set up uv
uses: astral-sh/setup-uv@11f9893b081a58869d3b5fccaea48c9e9e46f990 # v8.3.2
with:
version: "0.11.x"
enable-cache: true
- name: Install DevFlow dependencies
working-directory: ${{ env.DEVFLOW_PATH }}
run: uv sync --frozen
- name: Run PR review
id: review
working-directory: ${{ env.DEVFLOW_PATH }}
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
GH_COPILOT_TOKEN: ${{ secrets.GH_COPILOT_TOKEN }}
SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
PR_URL: ${{ needs.team_check.outputs.pr_url }}
run: |
uv run python scripts/trigger_pr_review.py \
--pr-url "$PR_URL" \
--github-username "$GITHUB_ACTOR" \
--no-require-comment-selection
+81 -443
View File
@@ -37,12 +37,9 @@ jobs:
outputs:
dotnetChanges: ${{ steps.filter.outputs.dotnet }}
cosmosDbChanges: ${{ steps.filter.outputs.cosmosdb }}
foundryHostingChanges: ${{ steps.filter.outputs.foundryHosting }}
functionsChanged: ${{ steps.filter.outputs.functions }}
coreChanged: ${{ steps.filter.outputs.core }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: dorny/paths-filter@7b450fff21473bca461d4b92ce414b9d0420d706 # v4.0.2
- uses: actions/checkout@v6
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
@@ -50,40 +47,6 @@ jobs:
- 'dotnet/**'
cosmosdb:
- 'dotnet/src/Microsoft.Agents.AI.CosmosNoSql/**'
# The Foundry hosted-agent IT is costly (builds a container, pushes to ACR,
# provisions live agents). Only run it when the project under test, its
# dependency chain, the test container, the test fixture, or their tooling
# changed. Keep this list in sync with $hashedDirs in scripts/it-build-image.ps1.
foundryHosting:
- 'dotnet/src/Microsoft.Agents.AI.Foundry.Hosting/**'
- 'dotnet/src/Microsoft.Agents.AI.Foundry/**'
- 'dotnet/src/Microsoft.Agents.AI/**'
- 'dotnet/src/Microsoft.Agents.AI.Abstractions/**'
- 'dotnet/src/Microsoft.Agents.AI.Workflows/**'
- 'dotnet/tests/Foundry.Hosting.IntegrationTests/**'
- 'dotnet/tests/Foundry.Hosting.IntegrationTests.TestContainer/**'
- 'dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-AzureSearchRag/**'
- 'dotnet/Directory.Packages.props'
- 'dotnet/tests/Foundry.Hosting.IntegrationTests/scripts/it-build-image.ps1'
- '.github/workflows/dotnet-build-and-test.yml'
functions:
- 'dotnet/src/Microsoft.Agents.AI.DurableTask/**'
- 'dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/**'
- 'dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/**'
- 'dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/**'
- '.github/actions/azure-functions-integration-setup/**'
- '.github/workflows/dotnet-build-and-test.yml'
core:
- 'dotnet/src/Microsoft.Agents.AI/**'
- 'dotnet/src/Microsoft.Agents.AI.Abstractions/**'
- 'dotnet/src/Microsoft.Agents.AI.OpenAI/**'
- 'dotnet/src/Microsoft.Agents.AI.Workflows/**'
- 'dotnet/src/Microsoft.Agents.AI.Workflows.Generators/**'
- 'dotnet/eng/scripts/New-FilteredSolution.ps1'
- 'dotnet/tests/Directory.Build.props'
- 'dotnet/Directory.Packages.props'
- 'dotnet/global.json'
- '.github/workflows/dotnet-build-and-test.yml'
# run only if 'dotnet' files were changed
- name: dotnet tests
if: steps.filter.outputs.dotnet == 'true'
@@ -96,22 +59,22 @@ jobs:
if: steps.filter.outputs.dotnet != 'true'
run: echo "NOT dotnet file"
# Build the full solution (including samples) on all TFMs. No tests.
dotnet-build:
dotnet-build-and-test:
needs: paths-filter
if: needs.paths-filter.outputs.dotnetChanges == 'true'
strategy:
fail-fast: false
matrix:
include:
- { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release }
- { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release, integration-tests: true, environment: "integration" }
- { targetFramework: "net9.0", os: "windows-latest", configuration: Debug }
- { targetFramework: "net8.0", os: "ubuntu-latest", configuration: Release }
- { targetFramework: "net472", os: "windows-latest", configuration: Release }
- { targetFramework: "net472", os: "windows-latest", configuration: Release, integration-tests: true, environment: "integration" }
runs-on: ${{ matrix.os }}
environment: ${{ matrix.environment }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
sparse-checkout: |
@@ -119,13 +82,20 @@ jobs:
.github
dotnet
python
declarative-agents
- name: Free runner disk space
uses: ./.github/actions/free-runner-disk-space
workflow-samples
# Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
- name: Start Azure Cosmos DB Emulator
if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
shell: pwsh
run: |
Write-Host "Launching Azure Cosmos DB Emulator"
Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
uses: actions/setup-dotnet@v5.1.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Build dotnet solutions
@@ -163,178 +133,105 @@ jobs:
# Change to project directory to ensure local nuget.config is used
pushd consoleapp
dotnet add packcheck.csproj package Microsoft.Agents.AI --prerelease
dotnet add packcheck.csproj package Microsoft.Agents.AI.LocalCodeAct --prerelease
dotnet build -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} packcheck.csproj
# Clean up
popd
popd
rm -rf "$TEMP_DIR"
# Build src+tests only (no samples) for a single TFM and run tests.
dotnet-test:
needs: paths-filter
if: needs.paths-filter.outputs.dotnetChanges == 'true'
strategy:
fail-fast: false
matrix:
include:
- { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release, integration-tests: true, environment: "integration" }
- { targetFramework: "net472", os: "windows-latest", configuration: Release, integration-tests: true, environment: "integration" }
runs-on: ${{ matrix.os }}
environment: ${{ matrix.environment }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
persist-credentials: false
sparse-checkout: |
.
.github
dotnet
python
declarative-agents
- name: Free runner disk space
uses: ./.github/actions/free-runner-disk-space
# Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
- name: Start Azure Cosmos DB Emulator
if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
shell: pwsh
run: |
Write-Host "Launching Azure Cosmos DB Emulator"
Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
echo "COSMOSDB_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Generate test solution (no samples)
shell: pwsh
run: |
./dotnet/eng/scripts/New-FilteredSolution.ps1 `
-Solution dotnet/agent-framework-dotnet.slnx `
-TargetFramework ${{ matrix.targetFramework }} `
-Configuration ${{ matrix.configuration }} `
-ExcludeSamples `
-OutputPath dotnet/filtered.slnx `
-Verbose
- name: Build src and tests
shell: bash
run: dotnet build dotnet/filtered.slnx -c ${{ matrix.configuration }} -f ${{ matrix.targetFramework }} --warnaserror
- name: Generate test-type filtered solutions
shell: pwsh
run: |
$commonArgs = @{
Solution = "dotnet/filtered.slnx"
TargetFramework = "${{ matrix.targetFramework }}"
Configuration = "${{ matrix.configuration }}"
Verbose = $true
}
./dotnet/eng/scripts/New-FilteredSolution.ps1 @commonArgs `
-TestProjectNameIncludeFilter "*UnitTests*" `
-OutputPath dotnet/filtered-unit.slnx
./dotnet/eng/scripts/New-FilteredSolution.ps1 @commonArgs `
-TestProjectNameIncludeFilter "*IntegrationTests*" `
-TestProjectNameExcludeFilter "*DurableTask.IntegrationTests*","*AzureFunctions.IntegrationTests*" `
-OutputPath dotnet/filtered-integration.slnx
- name: Run Unit Tests
shell: pwsh
working-directory: dotnet
shell: bash
run: |
$coverageSettings = Join-Path $PWD "tests/coverage.runsettings"
$coverageArgs = @()
if ("${{ matrix.targetFramework }}" -eq "${{ env.COVERAGE_FRAMEWORK }}") {
$coverageArgs = @(
"--coverage",
"--coverage-output-format", "cobertura",
"--coverage-settings", $coverageSettings,
"--results-directory", "../TestResults/Coverage/"
)
}
dotnet test --solution ./filtered-unit.slnx `
-f ${{ matrix.targetFramework }} `
-c ${{ matrix.configuration }} `
--no-build -v Normal `
--report-xunit-trx `
--ignore-exit-code 8 `
@coverageArgs
export UT_PROJECTS=$(find ./dotnet -type f -name "*.UnitTests.csproj" | tr '\n' ' ')
for project in $UT_PROJECTS; do
# Query the project's target frameworks using MSBuild with the current configuration
target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
# Check if the project supports the target framework
if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
if [[ "${{ matrix.targetFramework }}" == "${{ env.COVERAGE_FRAMEWORK }}" ]]; then
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --collect:"XPlat Code Coverage" --results-directory:"TestResults/Coverage/" -- DataCollectionRunSettings.DataCollectors.DataCollector.Configuration.ExcludeByAttribute=GeneratedCodeAttribute,CompilerGeneratedAttribute,ExcludeFromCodeCoverageAttribute
else
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx
fi
else
echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
fi
done
env:
# Cosmos DB Emulator connection settings
COSMOSDB_ENDPOINT: https://localhost:8081
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
- name: Log event name and matrix integration-tests
shell: bash
run: echo "github.event_name:${{ github.event_name }} matrix.integration-tests:${{ matrix.integration-tests }} github.event.action:${{ github.event.action }} github.event.pull_request.merged:${{ github.event.pull_request.merged }}"
shell: bash
run: echo "github.event_name:${{ github.event_name }} matrix.integration-tests:${{ matrix.integration-tests }} github.event.action:${{ github.event.action }} github.event.pull_request.merged:${{ github.event.pull_request.merged }}"
- name: Azure CLI Login
if: github.event_name != 'pull_request' && matrix.integration-tests
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
# This setup action is required for both Durable Task and Azure Functions integration tests.
# We only run it on Ubuntu since the Durable Task and Azure Functions features are not available
# on .NET Framework (net472) which is what we use the Windows runner for.
- name: Set up Durable Task and Azure Functions Integration Test Emulators
if: github.event_name != 'pull_request' && matrix.integration-tests && matrix.os == 'ubuntu-latest'
uses: ./.github/actions/azure-functions-integration-setup
id: azure-functions-setup
- name: Run Integration Tests
shell: pwsh
working-directory: dotnet
shell: bash
if: github.event_name != 'pull_request' && matrix.integration-tests
run: |
dotnet test --solution ./filtered-integration.slnx `
-f ${{ matrix.targetFramework }} `
-c ${{ matrix.configuration }} `
--no-build -v Normal `
--report-xunit-trx `
--report-junit `
--results-directory ../IntegrationTestResults/ `
--ignore-exit-code 8 `
--filter-not-trait "Category=IntegrationDisabled" `
--filter-not-trait "Category=FoundryHostedAgents" `
--parallel-algorithm aggressive `
--max-threads 2.0x
export INTEGRATION_TEST_PROJECTS=$(find ./dotnet -type f -name "*IntegrationTests.csproj" | tr '\n' ' ')
for project in $INTEGRATION_TEST_PROJECTS; do
# Query the project's target frameworks using MSBuild with the current configuration
target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
# Check if the project supports the target framework
if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx
else
echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
fi
done
env:
# Cosmos DB Emulator connection settings
COSMOSDB_ENDPOINT: https://localhost:8081
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
# OpenAI Models
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_CHAT_MODEL_NAME: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
OPENAI_REASONING_MODEL_NAME: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}
# Azure OpenAI Models
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZURE_OPENAI_ENDPOINT }}
# Microsoft Foundry
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
# Anthropic Models
# Disable Anthropic tests by not providing environment vars until 404 failure is resolved
# ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
# ANTHROPIC_CHAT_MODEL_NAME: ${{ vars.ANTHROPIC_CHAT_MODEL_NAME }}
# ANTHROPIC_REASONING_MODEL_NAME: ${{ vars.ANTHROPIC_REASONING_MODEL_NAME }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
# Azure AI Foundry
AzureAI__Endpoint: ${{ secrets.AZUREAI__ENDPOINT }}
AzureAI__DeploymentName: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
AzureAI__BingConnectionId: ${{ vars.AZUREAI__BINGCONECTIONID }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MEDIA_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MEDIA_DEPLOYMENT_NAME }}
FOUNDRY_MODEL_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MODEL_DEPLOYMENT_NAME }}
FOUNDRY_CONNECTION_GROUNDING_TOOL: ${{ vars.FOUNDRY_CONNECTION_GROUNDING_TOOL }}
# Generate test reports and check coverage
- name: Generate test reports
if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
uses: danielpalme/ReportGenerator-GitHub-Action@2a82782178b2816d9d6960a7345fdd164791b323 # 5.5.3
uses: danielpalme/ReportGenerator-GitHub-Action@5.5.1
with:
reports: "./TestResults/Coverage/**/*.cobertura.xml"
reports: "./TestResults/Coverage/**/coverage.cobertura.xml"
targetdir: "./TestResults/Reports"
reporttypes: "HtmlInline;JsonSummary"
- name: Upload coverage report artifact
if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v6
with:
name: CoverageReport-${{ matrix.os }}-${{ matrix.targetFramework }}-${{ matrix.configuration }} # Artifact name
path: ./TestResults/Reports # Directory containing files to upload
@@ -342,211 +239,13 @@ jobs:
- name: Check coverage
if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
shell: pwsh
run: ./dotnet/eng/scripts/dotnet-check-coverage.ps1 -JsonReportPath "TestResults/Reports/Summary.json" -CoverageThreshold $env:COVERAGE_THRESHOLD
- name: Upload integration test results
if: always() && github.event_name != 'pull_request' && matrix.integration-tests
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: dotnet-test-results-${{ matrix.targetFramework }}-${{ matrix.os }}
path: IntegrationTestResults/**/*.junit
if-no-files-found: ignore
# The Foundry hosted-agent IT is costly (it builds a container, pushes to ACR, and provisions
# live agents on a separate Foundry project). Running it in its own job keeps the overall
# workflow time roughly flat: it executes in parallel to dotnet-build and dotnet-test and is
# gated on paths-filter.outputs.foundryHostingChanges so unrelated edits skip the work.
dotnet-foundry-hosted-it:
needs: paths-filter
if: github.event_name != 'pull_request' && needs.paths-filter.outputs.foundryHostingChanges == 'true'
runs-on: ubuntu-latest
environment: integration
env:
configuration: Release
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
persist-credentials: false
sparse-checkout: |
.
.github
dotnet
python
- name: Free runner disk space
uses: ./.github/actions/free-runner-disk-space
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
# Build the test csproj directly instead of a filtered slnx + -f override.
# The test project pins TargetFrameworks=net10.0 and its ProjectReference closure
# gives MSBuild a single-rooted graph, so each multi-targeted dependency is invoked
# exactly once for net10.0. This avoids the MSB3026/MSB3491/MSB4018/MSB3883 file-lock
# collisions caused by parallel inner-builds racing on shared bin/obj output paths
# under the previous slnx + global TFM override approach.
- name: Build Foundry hosted IT (and its deps)
shell: bash
run: dotnet build dotnet/tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj -c "$configuration" --warnaserror
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
# We rebuild and push the test container image on every IT run so framework code changes
# are picked up; the image tag is content-hashed across the test container source AND its
# framework project references, so identical content is a no-op push.
#
# The script always passes --no-dependencies to dotnet publish so publish never re-touches
# the framework lib DLLs the prior "Build Foundry hosted IT (and its deps)" step produced.
# This structurally eliminates the MSB3026 collision that VBCSCompiler from the prebuild
# would otherwise cause by holding file handles to those DLLs. Do not remove the prebuild
# step: the subsequent `dotnet test --no-build` step and the publish's ProjectReference
# resolution both depend on the prebuilt outputs being present.
- name: Build and push Foundry Hosted Agents test container
id: build-foundry-hosted-image
shell: pwsh
working-directory: ${{ github.workspace }}
run: |
$registry = "${{ vars.IT_HOSTED_AGENT_REGISTRY }}"
if ([string]::IsNullOrWhiteSpace($registry)) {
throw "IT_HOSTED_AGENT_REGISTRY not set in the integration environment."
}
& "${{ github.workspace }}/dotnet/tests/Foundry.Hosting.IntegrationTests/scripts/it-build-image.ps1" -Registry $registry | Tee-Object -FilePath $env:GITHUB_ENV -Append
- name: Run Foundry Hosted Agents Integration Tests
shell: pwsh
working-directory: dotnet
run: |
dotnet test --project tests/Foundry.Hosting.IntegrationTests/Foundry.Hosting.IntegrationTests.csproj `
-c $env:configuration `
--no-build -v Normal `
--report-xunit-trx `
--ignore-exit-code 8 `
--filter-trait "Category=FoundryHostedAgents"
env:
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.IT_HOSTED_AGENT_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.IT_HOSTED_AGENT_MODEL_DEPLOYMENT_NAME }}
# Azure AI Search (for the azure-search-rag scenario). Reuses the integration
# environment secrets shared with python-sample-validation.yml. The index is
# provisioned out of band; see dotnet/tests/Foundry.Hosting.IntegrationTests/README.md
# for the required schema and seed content.
AZURE_SEARCH_ENDPOINT: ${{ secrets.AZURE_SEARCH_ENDPOINT }}
AZURE_SEARCH_INDEX_NAME: ${{ secrets.AZURE_SEARCH_INDEX_NAME }}
# IT_HOSTED_AGENT_IMAGE was exported into $GITHUB_ENV by the previous step.
# DurableTask and AzureFunctions integration tests (ubuntu/net10.0 only).
# Split from main dotnet-test job for path-based filtering and parallelism.
dotnet-test-functions:
needs: [paths-filter]
if: >
github.event_name != 'pull_request' &&
(needs.paths-filter.outputs.functionsChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true' ||
github.event_name == 'schedule' ||
github.event_name == 'workflow_dispatch')
runs-on: ubuntu-latest
environment: integration
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
persist-credentials: false
sparse-checkout: |
.
.github
dotnet
python
declarative-agents
- name: Free runner disk space
uses: ./.github/actions/free-runner-disk-space
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Build functions integration test projects
shell: bash
working-directory: dotnet
run: |
dotnet build ./tests/Microsoft.Agents.AI.DurableTask.IntegrationTests -c Release -f net10.0 --warnaserror
dotnet build ./tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests -c Release -f net10.0 --warnaserror
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Set up Durable Task and Azure Functions Integration Test Emulators
uses: ./.github/actions/azure-functions-integration-setup
id: azure-functions-setup
- name: Run Functions Integration Tests
shell: pwsh
working-directory: dotnet
run: |
# Run DurableTask integration tests
dotnet test `
--project ./tests/Microsoft.Agents.AI.DurableTask.IntegrationTests `
-f net10.0 `
-c Release `
--no-build -v Normal `
--report-xunit-trx `
--report-junit `
--results-directory ../IntegrationTestResults/ `
--ignore-exit-code 8 `
--filter-not-trait "Category=IntegrationDisabled" `
--parallel-algorithm aggressive `
--max-threads 2.0x
# Run AzureFunctions integration tests
dotnet test `
--project ./tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests `
-f net10.0 `
-c Release `
--no-build -v Normal `
--report-xunit-trx `
--report-junit `
--results-directory ../IntegrationTestResults/ `
--ignore-exit-code 8 `
--filter-not-trait "Category=IntegrationDisabled" `
--parallel-algorithm aggressive `
--max-threads 2.0x
env:
# OpenAI Models
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_CHAT_MODEL_NAME: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
OPENAI_REASONING_MODEL_NAME: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
# Azure OpenAI Models
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZURE_OPENAI_ENDPOINT }}
# Microsoft Foundry
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
- name: Upload functions test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: dotnet-test-results-functions-net10.0-ubuntu-latest
path: IntegrationTestResults/**/*.junit
if-no-files-found: ignore
run: .github/workflows/dotnet-check-coverage.ps1 -JsonReportPath "TestResults/Reports/Summary.json" -CoverageThreshold $env:COVERAGE_THRESHOLD
# This final job is required to satisfy the merge queue. It must only run (or succeed) if no tests failed
dotnet-build-and-test-check:
if: always()
runs-on: ubuntu-latest
needs: [dotnet-build, dotnet-test, dotnet-foundry-hosted-it, dotnet-test-functions]
needs: [dotnet-build-and-test]
steps:
- name: Get Date
shell: bash
@@ -574,74 +273,13 @@ jobs:
- name: Fail workflow if tests failed
id: check_tests_failed
if: contains(join(needs.*.result, ','), 'failure')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Failed!')
- name: Fail workflow if tests cancelled
id: check_tests_cancelled
if: contains(join(needs.*.result, ','), 'cancelled')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Cancelled!')
# Integration test trend report (aggregates JUnit XML results from dotnet test jobs)
dotnet-integration-test-report:
name: Integration Test Report
if: >
always() &&
github.event_name != 'pull_request' &&
(contains(join(needs.*.result, ','), 'success') ||
contains(join(needs.*.result, ','), 'failure'))
needs: [dotnet-test, dotnet-test-functions]
runs-on: ubuntu-latest
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
persist-credentials: false
sparse-checkout: |
.github/actions/python-setup
python
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: "3.13"
os: ${{ runner.os }}
- name: Download all test results from current run
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
pattern: dotnet-test-results-*
path: dotnet-test-results/
- name: Restore report history cache
uses: actions/cache/restore@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: python/dotnet-integration-report-history.json
key: dotnet-integration-report-history-${{ github.run_id }}
restore-keys: |
dotnet-integration-report-history-
- name: Generate trend report
run: >
uv run python scripts/integration_test_report/aggregate.py
../dotnet-test-results/
dotnet-integration-report-history.json
dotnet-integration-test-report.md
- name: Post to Job Summary
if: always()
run: cat dotnet-integration-test-report.md >> $GITHUB_STEP_SUMMARY
- name: Save report history cache
if: always()
uses: actions/cache/save@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: python/dotnet-integration-report-history.json
key: dotnet-integration-report-history-${{ github.run_id }}
- name: Upload trend report
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: dotnet-integration-test-report
path: |
python/dotnet-integration-test-report.md
python/dotnet-integration-report-history.json
+6 -12
View File
@@ -30,7 +30,7 @@ jobs:
steps:
- name: Check out code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
uses: actions/checkout@v6
with:
fetch-depth: 0
persist-credentials: false
@@ -42,7 +42,7 @@ jobs:
- name: Get changed files
id: changed-files
if: github.event_name == 'pull_request'
uses: jitterbit/get-changed-files@b17fbb00bdc0c0f63fcf166580804b4d2cdc2a42 # v1
uses: jitterbit/get-changed-files@v1
continue-on-error: true
- name: No C# files changed
@@ -54,14 +54,11 @@ jobs:
- name: Find csproj files
id: find-csproj
if: github.event_name != 'pull_request' || steps.changed-files.outputs.added_modified != '' || steps.changed-files.outcome == 'failure'
env:
ADDED_MODIFIED: ${{ steps.changed-files.outputs.added_modified }}
run: |
csproj_files=()
exclude_files=("Experimental.Orchestration.Flow.csproj" "Experimental.Orchestration.Flow.UnitTests.csproj" "Experimental.Orchestration.Flow.IntegrationTests.csproj")
set -f
if [[ ${{ steps.changed-files.outcome }} == 'success' ]]; then
for file in $ADDED_MODIFIED; do
for file in ${{ steps.changed-files.outputs.added_modified }}; do
echo "$file was changed"
dir="./$file"
while [[ $dir != "." && $dir != "/" && $dir != $GITHUB_WORKSPACE ]]; do
@@ -83,20 +80,17 @@ jobs:
csproj_files=($(printf "%s\n" "${csproj_files[@]}" | sort -u))
echo "Found ${#csproj_files[@]} unique csproj/slnx files: ${csproj_files[*]}"
echo "csproj_files=${csproj_files[*]}" >> $GITHUB_OUTPUT
set +f
- name: Pull container dotnet/sdk:${{ matrix.dotnet }}
if: steps.find-csproj.outputs.csproj_files != ''
run: docker pull mcr.microsoft.com/dotnet/sdk:${{ matrix.dotnet }}
# This step will run dotnet format on each of the unique csproj files and fail if any changes are made
# exclude-diagnostics should be removed after fixes for IL2026 and IL3050 are out: https://github.com/dotnet/sdk/issues/51136
- name: Run dotnet format
if: steps.find-csproj.outputs.csproj_files != ''
env:
CSPROJ_FILES: ${{ steps.find-csproj.outputs.csproj_files }}
run: |
set -f
for csproj in $CSPROJ_FILES; do
for csproj in ${{ steps.find-csproj.outputs.csproj_files }}; do
echo "Running dotnet format on $csproj"
docker run --rm -v "$(pwd):/app" -w /app mcr.microsoft.com/dotnet/sdk:${{ matrix.dotnet }} dotnet format "$csproj" --verify-no-changes --verbosity diagnostic
docker run --rm -v $(pwd):/app -w /app mcr.microsoft.com/dotnet/sdk:${{ matrix.dotnet }} /bin/sh -c "dotnet format $csproj --verify-no-changes --verbosity diagnostic --exclude-diagnostics IL2026 IL3050"
done
@@ -1,118 +0,0 @@
#
# Dedicated .NET integration tests workflow, called from the manual integration test orchestrator.
# Only runs integration test matrix entries (net10.0 and net472).
#
name: dotnet-integration-tests
on:
workflow_call:
inputs:
checkout-ref:
description: "Immutable commit SHA to check out"
required: true
type: string
secrets:
AZURE_CLIENT_ID:
required: true
AZURE_TENANT_ID:
required: true
AZURE_SUBSCRIPTION_ID:
required: true
AZUREAI__ENDPOINT:
required: true
COPILOT_GITHUB_TOKEN:
required: true
OPENAI__APIKEY:
required: true
permissions:
contents: read
jobs:
dotnet-integration-tests:
permissions:
contents: read
id-token: write
strategy:
fail-fast: false
matrix:
include:
- { targetFramework: "net10.0", os: "ubuntu-latest", configuration: Release }
- { targetFramework: "net472", os: "windows-latest", configuration: Release }
runs-on: ${{ matrix.os }}
environment: integration
timeout-minutes: 60
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
sparse-checkout: |
.
.github
dotnet
python
declarative-agents
- name: Start Azure Cosmos DB Emulator
if: runner.os == 'Windows'
shell: pwsh
run: |
Write-Host "Launching Azure Cosmos DB Emulator"
Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Build dotnet solutions
shell: bash
run: |
export SOLUTIONS=$(find ./dotnet/ -type f -name "*.slnx" | tr '\n' ' ')
for solution in $SOLUTIONS; do
dotnet build $solution -c ${{ matrix.configuration }} --warnaserror
done
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Set up Durable Task and Azure Functions Integration Test Emulators
if: matrix.os == 'ubuntu-latest'
uses: ./.github/actions/azure-functions-integration-setup
- name: Run Integration Tests
shell: bash
run: |
export INTEGRATION_TEST_PROJECTS=$(find ./dotnet -type f -name "*IntegrationTests.csproj" | tr '\n' ' ')
for project in $INTEGRATION_TEST_PROJECTS; do
target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --filter "Category!=IntegrationDisabled"
else
echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
fi
done
env:
COSMOSDB_ENDPOINT: https://localhost:8081
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
OpenAI__ApiKey: ${{ secrets.OPENAI__APIKEY }}
OpenAI__ChatModelId: ${{ vars.OPENAI__CHATMODELID }}
OpenAI__ChatReasoningModelId: ${{ vars.OPENAI__CHATREASONINGMODELID }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AzureAI__Endpoint: ${{ secrets.AZUREAI__ENDPOINT }}
AzureAI__DeploymentName: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
AzureAI__BingConnectionId: ${{ vars.AZUREAI__BINGCONECTIONID }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MEDIA_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MEDIA_DEPLOYMENT_NAME }}
FOUNDRY_MODEL_DEPLOYMENT_NAME: ${{ vars.FOUNDRY_MODEL_DEPLOYMENT_NAME }}
FOUNDRY_CONNECTION_GROUNDING_TOOL: ${{ vars.FOUNDRY_CONNECTION_GROUNDING_TOOL }}
-140
View File
@@ -1,140 +0,0 @@
#
# Runs the .NET sample verification tool, which builds and executes sample projects
# and verifies their output using deterministic checks and AI-powered verification.
#
# Results are displayed as a GitHub Job Summary and the CSV report is uploaded as an artifact.
#
name: dotnet-verify-samples
on:
workflow_dispatch:
inputs:
category:
description: "Sample category to run (blank for all)"
required: false
type: choice
options:
- ""
- "01-get-started"
- "02-agents"
- "03-workflows"
parallelism:
description: "Max parallel sample runs"
required: false
default: "8"
type: string
schedule:
- cron: "0 6 * * 1-5" # Weekdays at 6:00 UTC
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
id-token: write
jobs:
verify-samples:
runs-on: ubuntu-latest
environment: 'integration'
timeout-minutes: 90
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
persist-credentials: false
sparse-checkout: |
.
.github
dotnet
python
declarative-agents
- name: Setup dotnet
uses: actions/setup-dotnet@c2fa09f4bde5ebb9d1777cf28262a3eb3db3ced7 # v5.2.0
with:
global-json-file: ${{ github.workspace }}/dotnet/global.json
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Generate filtered solution
shell: pwsh
run: |
./dotnet/eng/scripts/New-FilteredSolution.ps1 `
-Solution dotnet/agent-framework-dotnet.slnx `
-TargetFramework net10.0 `
-Configuration Debug `
-OutputPath dotnet/filtered.slnx `
-Verbose
- name: Build solution
shell: bash
run: dotnet build dotnet/filtered.slnx -f net10.0 --warnaserror
- name: Run verify-samples
id: verify
working-directory: dotnet
shell: bash
run: |
CATEGORY_ARG=""
if [ -n "$CATEGORY_INPUT" ]; then
CATEGORY_ARG="--category $CATEGORY_INPUT"
fi
dotnet run --project eng/verify-samples -- \
$CATEGORY_ARG \
--parallel "$PARALLELISM" \
--md results.md \
--csv results.csv \
--log results.log
env:
CATEGORY_INPUT: ${{ github.event.inputs.category || '' }}
PARALLELISM: ${{ github.event.inputs.parallelism || '8' }}
# OpenAI Models
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_CHAT_MODEL_NAME: ${{ vars.OPENAI_CHAT_MODEL_NAME }}
OPENAI_REASONING_MODEL_NAME: ${{ vars.OPENAI_REASONING_MODEL_NAME }}
# Azure OpenAI Models
AZURE_OPENAI_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZURE_OPENAI_ENDPOINT }}
# Microsoft Foundry
AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZURE_AI_MODEL_DEPLOYMENT_NAME }}
AZURE_AI_BING_CONNECTION_ID: ${{ vars.AZURE_AI_BING_CONNECTION_ID }}
# Foundry
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
- name: Write Job Summary
if: always()
working-directory: dotnet
shell: bash
run: |
if [ -f results.md ]; then
cat results.md >> "$GITHUB_STEP_SUMMARY"
else
echo "⚠️ No results.md generated — verify-samples may have failed to start." >> "$GITHUB_STEP_SUMMARY"
fi
- name: Upload results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: verify-samples-results
path: |
dotnet/results.csv
dotnet/results.log
if-no-files-found: warn
- name: Fail if samples failed
if: always() && steps.verify.outcome == 'failure'
shell: bash
run: exit 1
@@ -1,42 +0,0 @@
name: GitHub automation tests
on:
pull_request:
paths:
- ".github/actions/**"
- ".github/scripts/**"
- ".github/tests/**"
- ".github/workflows/python-test-coverage.yml"
- ".github/workflows/github-automation-tests.yml"
push:
branches:
- main
paths:
- ".github/actions/**"
- ".github/scripts/**"
- ".github/tests/**"
- ".github/workflows/python-test-coverage.yml"
- ".github/workflows/github-automation-tests.yml"
permissions:
contents: read
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/setup-node@48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e # v6
with:
node-version: "22"
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: "3.11"
- name: Run JavaScript tests
run: node --test .github/tests/*.js
- name: Run Python tests
run: python .github/tests/test_python_check_coverage.py
@@ -1,135 +0,0 @@
#
# This workflow allows manually running integration tests against an open PR or a branch.
# Go to Actions → "Integration Tests (Manual)" → Run workflow → enter a PR number or branch name.
#
# It calls dedicated integration-only workflows (dotnet-integration-tests and python-integration-tests),
# passing an immutable commit SHA so they check out and test the approved code.
# Changed paths are detected here so only the relevant test suites run.
#
name: Integration Tests (Manual)
on:
workflow_dispatch:
inputs:
pr-number:
description: "PR number to run integration tests against (leave empty if using branch)"
required: false
type: string
default: ""
branch:
description: "Branch name to run integration tests against (leave empty if using PR number)"
required: false
type: string
default: ""
permissions:
contents: read
pull-requests: read
concurrency:
group: integration-tests-manual-${{ github.event.inputs.pr-number || github.event.inputs.branch }}
cancel-in-progress: true
jobs:
resolve-ref:
name: Resolve ref
runs-on: ubuntu-latest
outputs:
checkout-ref: ${{ steps.resolve.outputs.checkout-ref }}
base-ref: ${{ steps.resolve.outputs.base-ref }}
dotnet-changes: ${{ steps.detect-changes.outputs.dotnet }}
python-changes: ${{ steps.detect-changes.outputs.python }}
steps:
- name: Check out trusted workflow helpers
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ github.sha }}
persist-credentials: false
sparse-checkout: .github/scripts
- name: Resolve and authorize checkout ref
id: resolve
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const resolveIntegrationTestTarget = require(
'./.github/scripts/resolve_integration_test_target.js'
);
const target = await resolveIntegrationTestTarget({
github,
context,
core,
prNumber: process.env.PR_NUMBER,
branch: process.env.BRANCH,
});
core.setOutput('checkout-ref', target.checkoutRef);
core.setOutput('base-ref', target.baseRef);
core.info(`Running integration tests for ${target.description} at ${target.checkoutRef}.`);
env:
PR_NUMBER: ${{ github.event.inputs.pr-number }}
BRANCH: ${{ github.event.inputs.branch }}
- name: Detect changed paths
id: detect-changes
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
BASE_REF: ${{ steps.resolve.outputs.base-ref }}
CHECKOUT_REF: ${{ steps.resolve.outputs.checkout-ref }}
REPO: ${{ github.repository }}
run: |
CHANGED_FILES=$(gh api "repos/$REPO/compare/$BASE_REF...$CHECKOUT_REF" \
--jq '.files[].filename')
DOTNET_CHANGES=false
PYTHON_CHANGES=false
if echo "$CHANGED_FILES" | grep -q '^dotnet/'; then
DOTNET_CHANGES=true
fi
if echo "$CHANGED_FILES" | grep -q '^python/'; then
PYTHON_CHANGES=true
fi
echo "dotnet=$DOTNET_CHANGES" >> "$GITHUB_OUTPUT"
echo "python=$PYTHON_CHANGES" >> "$GITHUB_OUTPUT"
echo "Detected changes; dotnet: $DOTNET_CHANGES, python: $PYTHON_CHANGES"
dotnet-integration-tests:
name: .NET Integration Tests
needs: resolve-ref
if: needs.resolve-ref.outputs.dotnet-changes == 'true'
permissions:
contents: read
id-token: write
uses: ./.github/workflows/dotnet-integration-tests.yml
with:
checkout-ref: ${{ needs.resolve-ref.outputs.checkout-ref }}
secrets:
AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
AZURE_SUBSCRIPTION_ID: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
AZUREAI__ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
OPENAI__APIKEY: ${{ secrets.OPENAI__APIKEY }}
python-integration-tests:
name: Python Integration Tests
needs: resolve-ref
if: needs.resolve-ref.outputs.python-changes == 'true'
permissions:
contents: read
id-token: write
uses: ./.github/workflows/python-integration-tests.yml
with:
checkout-ref: ${{ needs.resolve-ref.outputs.checkout-ref }}
secrets:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
AZURE_SUBSCRIPTION_ID: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
FOUNDRY_MODELS_API_KEY: ${{ secrets.FOUNDRY_MODELS_API_KEY }}
OPENAI__APIKEY: ${{ secrets.OPENAI__APIKEY }}
-239
View File
@@ -1,239 +0,0 @@
name: Issue Triage
on:
issues:
types: [opened, typed]
workflow_dispatch:
inputs:
issue_number:
description: Issue number to triage
required: true
type: string
permissions:
contents: read
issues: write
id-token: write
concurrency:
group: >-
issue-triage-${{ github.repository }}-${{
github.event_name == 'workflow_dispatch' && inputs.issue_number
|| github.event.issue.type.name == 'Bug' && github.event.issue.number
|| github.run_id
}}
cancel-in-progress: true
env:
DEVFLOW_REPOSITORY: ${{ vars.DF_REPO }}
DEVFLOW_REF: main
TARGET_REPO_PATH: ${{ github.workspace }}/target-repo
DEVFLOW_PATH: ${{ github.workspace }}/devflow
jobs:
team_check:
runs-on: ubuntu-latest
environment: github-app-auth
if: >-
${{
github.event_name == 'workflow_dispatch'
|| github.event.issue.type.name == 'Bug'
}}
outputs:
is_team_member: ${{ steps.check.outputs.is_team_member }}
issue_number: ${{ steps.issue.outputs.issue_number }}
repo: ${{ steps.issue.outputs.repo }}
steps:
- name: Resolve issue metadata
id: issue
shell: bash
env:
ISSUE_NUMBER: >-
${{
github.event_name == 'workflow_dispatch' && inputs.issue_number
|| github.event.issue.number
}}
run: |
set -euo pipefail
issue_number="${ISSUE_NUMBER}"
if [[ ! "$issue_number" =~ ^[1-9][0-9]*$ ]]; then
echo "Could not determine issue number from event payload or manual input." >&2
exit 1
fi
echo "issue_number=${issue_number}" >> "$GITHUB_OUTPUT"
echo "repo=${GITHUB_REPOSITORY}" >> "$GITHUB_OUTPUT"
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
sparse-checkout: |
.github/actions/github-app-token
.github/scripts
fetch-depth: 1
persist-credentials: false
- name: Get GitHub automation token
id: github-auth
uses: ./.github/actions/github-app-token
with:
mode: ${{ vars.GH_APP_AUTH_MODE }}
azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
key-name: ${{ secrets.GH_APP_KEY_NAME }}
github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
repository: ${{ github.repository }}
fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
- name: Check issue author team membership
if: ${{ github.event_name != 'workflow_dispatch' }}
id: check
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
env:
TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
ISSUE_NUMBER: ${{ steps.issue.outputs.issue_number }}
with:
github-token: ${{ steps.github-auth.outputs.token }}
script: |
const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
const { author, isTeamMember } = await checkTeamMembership({
github,
context,
core,
teamSlug: process.env.TEAM_NAME,
issueNumber: process.env.ISSUE_NUMBER,
});
core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
if (isTeamMember) {
core.info(`Author ${author} is a team member; skipping auto-triage.`);
} else {
core.info(`Author ${author} is not a team member; proceeding with triage.`);
}
triage:
runs-on: ubuntu-latest
needs: team_check
if: >-
${{
github.event_name == 'workflow_dispatch'
|| needs.team_check.outputs.is_team_member == 'false'
}}
environment: integration
permissions:
contents: read
id-token: write
issues: write
timeout-minutes: 60
steps:
# Safe checkout: base repo only.
- name: Checkout target repo base
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
fetch-depth: 0
persist-credentials: false
path: target-repo
# Private DevFlow (maf-dashboard) checkout.
- name: Checkout DevFlow
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
repository: ${{ env.DEVFLOW_REPOSITORY }}
ref: ${{ env.DEVFLOW_REF }}
token: ${{ secrets.DEVFLOW_TOKEN }}
fetch-depth: 1
persist-credentials: false
path: devflow
- name: Set up Python
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: "3.13"
- name: Set up uv
uses: astral-sh/setup-uv@11f9893b081a58869d3b5fccaea48c9e9e46f990 # v8.3.2
with:
version: "0.11.x"
enable-cache: true
- name: Install DevFlow dependencies
working-directory: ${{ env.DEVFLOW_PATH }}
run: uv sync --frozen
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Classify issue relevance
id: spam
working-directory: ${{ env.DEVFLOW_PATH }}
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}
SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
ISSUE_REPO: ${{ needs.team_check.outputs.repo }}
ISSUE_NUMBER: ${{ needs.team_check.outputs.issue_number }}
run: |
uv run python scripts/classify_issue_spam.py \
--repo "$ISSUE_REPO" \
--issue-number "$ISSUE_NUMBER" \
--repo-path "${TARGET_REPO_PATH}" \
--apply-labels
- name: Stop after spam gate
if: ${{ steps.spam.outputs.allow_triage != 'true' }}
shell: bash
run: |
echo "Stopping: issue triage preflight did not allow automation."
exit 1
- name: Reproduce reported issue
if: ${{ steps.spam.outputs.allow_triage == 'true' }}
id: repro
working-directory: ${{ env.DEVFLOW_PATH }}
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
GH_COPILOT_TOKEN: ${{ secrets.GH_COPILOT_TOKEN }}
# Not seen by the agent prompt; used only to push a paper-trail
# branch back to maf-dashboard at run end.
DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}
SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
ISSUE_REPO: ${{ needs.team_check.outputs.repo }}
ISSUE_NUMBER: ${{ needs.team_check.outputs.issue_number }}
# Model-provider settings for generated repro code. Never enter the
# agent prompt; consumed by SDK constructors via os.environ. Azure
# OpenAI and Foundry auth via AAD from the azure/login step above.
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_MODEL: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
FOUNDRY_AGENT_NAME: ${{ vars.FOUNDRY_AGENT_NAME }}
FOUNDRY_AGENT_VERSION: ${{ vars.FOUNDRY_AGENT_VERSION }}
FOUNDRY_MODELS_ENDPOINT: ${{ vars.FOUNDRY_MODELS_ENDPOINT || '' }}
FOUNDRY_MODELS_API_KEY: ${{ secrets.FOUNDRY_MODELS_API_KEY || '' }}
FOUNDRY_EMBEDDING_MODEL: ${{ vars.FOUNDRY_EMBEDDING_MODEL || '' }}
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
run: |
uv run python scripts/trigger_issue_repro.py \
--repo "$ISSUE_REPO" \
--issue-number "$ISSUE_NUMBER" \
--github-username "$GITHUB_ACTOR"
+20 -38
View File
@@ -10,39 +10,12 @@ jobs:
name: "Issue: add labels"
if: ${{ github.event.action == 'opened' || github.event.action == 'reopened' }}
runs-on: ubuntu-latest
environment: github-app-auth
permissions:
contents: read
id-token: write
issues: write
steps:
- name: Checkout GitHub automation
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/github-script@v8
with:
sparse-checkout: |
.github/actions/github-app-token
.github/scripts/check_team_membership.js
fetch-depth: 1
persist-credentials: false
- name: Get GitHub automation token
id: github-auth
uses: ./.github/actions/github-app-token
with:
mode: ${{ vars.GH_APP_AUTH_MODE }}
azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
key-name: ${{ secrets.GH_APP_KEY_NAME }}
github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
repository: ${{ github.repository }}
fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
- uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ steps.github-auth.outputs.token }}
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
script: |
// Get the issue body and title
const body = context.payload.issue.body
@@ -51,14 +24,21 @@ jobs:
// Define the labels array
let labels = []
const checkTeamMembership = require('./.github/scripts/check_team_membership.js')
const { isTeamMember } = await checkTeamMembership({
github,
context,
core,
teamSlug: process.env.TEAM_NAME,
issueNumber: context.issue.number,
})
// Check if the issue author is in the agentframework-developers team
let isTeamMember = false
try {
const teamMembership = await github.rest.teams.getMembershipForUserInOrg({
org: context.repo.owner,
team_slug: process.env.TEAM_NAME,
username: context.payload.issue.user.login
})
console.log("Team Membership Data:", teamMembership);
isTeamMember = teamMembership.data.state === 'active'
} catch (error) {
// User is not in the team or team doesn't exist
console.error("Error fetching team membership:", error);
isTeamMember = false
}
// Only add triage label if the author is not in the team
if (!isTeamMember) {
@@ -110,7 +90,9 @@ jobs:
// Check for issue type from issue form dropdown
const issueTypeField = getFormFieldValue(body, 'Type of Issue')
if (issueTypeField) {
if (issueTypeField === 'Feature Request') {
if (issueTypeField === 'Bug') {
labels.push("bug")
} else if (issueTypeField === 'Feature Request') {
labels.push("enhancement")
} else if (issueTypeField === 'Question') {
labels.push("question")
+3 -41
View File
@@ -6,54 +6,16 @@
# https://github.com/actions/labeler
name: Label pull request
on:
pull_request_target:
types: [opened, synchronize, reopened, edited]
on: [pull_request_target]
jobs:
add_label:
runs-on: ubuntu-latest
environment: github-app-auth
permissions:
contents: read
id-token: write
issues: write
pull-requests: write
steps:
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/labeler@v6
with:
ref: ${{ github.event.pull_request.base.sha }}
sparse-checkout: |
.github/actions/github-app-token
.github/scripts
fetch-depth: 1
persist-credentials: false
- name: Get GitHub automation token
id: github-auth
uses: ./.github/actions/github-app-token
with:
mode: ${{ vars.GH_APP_AUTH_MODE }}
azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
key-name: ${{ secrets.GH_APP_KEY_NAME }}
github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
repository: ${{ github.repository }}
fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
- uses: actions/labeler@f27b608878404679385c85cfa523b85ccb86e213 # v6
with:
repo-token: ${{ steps.github-auth.outputs.token }}
- name: "PR: add breaking change label from title"
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ steps.github-auth.outputs.token }}
script: |
const { syncBreakingChangeLabelFromTitle } = require('./.github/scripts/title_prefix.js');
await syncBreakingChangeLabelFromTitle({ github, context, core });
repo-token: "${{ secrets.GH_ACTIONS_PR_WRITE }}"
+51 -10
View File
@@ -15,17 +15,58 @@ jobs:
pull-requests: write
steps:
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
sparse-checkout: .github/scripts
fetch-depth: 1
persist-credentials: false
- uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
- uses: actions/github-script@v8
name: "Issue/PR: update title"
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const { updateTitleForAddedLabel } = require('./.github/scripts/title_prefix.js');
await updateTitleForAddedLabel({ github, context, core });
let prefixLabels = {
"python": "Python",
".NET": ".NET"
};
function addTitlePrefix(title, prefix)
{
// Update the title based on the label and prefix
// Check if the title starts with the prefix (case-sensitive)
if (!title.startsWith(prefix + ": ")) {
// If not, check if the first word is the label (case-insensitive)
if (title.match(new RegExp(`^${prefix}`, 'i'))) {
// If yes, replace it with the prefix (case-sensitive)
title = title.replace(new RegExp(`^${prefix}`, 'i'), prefix);
} else {
// If not, prepend the prefix to the title
title = prefix + ": " + title;
}
}
return title;
}
labelAdded = context.payload.label.name
// Check if the issue or PR has the label
if (labelAdded in prefixLabels) {
let prefix = prefixLabels[labelAdded];
switch(context.eventName) {
case 'issues':
github.rest.issues.update({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: addTitlePrefix(context.payload.issue.title, prefix)
});
break
case 'pull_request_target':
github.rest.pulls.update({
pull_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
title: addTitlePrefix(context.payload.pull_request.title, prefix)
});
break
default:
core.setFailed('Unrecognited eventName: ' + context.eventName);
}
}
-122
View File
@@ -1,122 +0,0 @@
name: Limit community pull requests
on:
pull_request_target:
types: [opened, reopened]
permissions:
contents: read
id-token: write
issues: write
pull-requests: write
concurrency:
group: pr-limit-${{ github.repository }}-${{ github.event.pull_request.user.login }}
cancel-in-progress: false
env:
MAX_OPEN_PULL_REQUESTS: '10'
PR_LIMIT_EXEMPT_LABEL: pr-limit-exempt
TOO_MANY_PRS_LABEL: too-many-prs
jobs:
team_check:
runs-on: ubuntu-latest
environment: github-app-auth
outputs:
is_team_member: ${{ steps.check.outputs.is_team_member }}
steps:
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ github.event.pull_request.base.sha }}
sparse-checkout: |
.github/actions/github-app-token
.github/scripts
fetch-depth: 1
persist-credentials: false
- name: Get GitHub automation token
id: github-auth
uses: ./.github/actions/github-app-token
with:
mode: ${{ vars.GH_APP_AUTH_MODE }}
azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
key-name: ${{ secrets.GH_APP_KEY_NAME }}
github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
repository: ${{ github.repository }}
fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
- name: Check PR author team membership
id: check
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
env:
TEAM_NAME: ${{ secrets.DEVELOPER_TEAM }}
PR_NUMBER: ${{ github.event.pull_request.number }}
with:
github-token: ${{ steps.github-auth.outputs.token }}
script: |
const checkTeamMembership = require('./.github/scripts/check_team_membership.js');
const { author, isTeamMember } = await checkTeamMembership({
github,
context,
core,
teamSlug: process.env.TEAM_NAME,
issueNumber: process.env.PR_NUMBER,
});
core.setOutput('is_team_member', isTeamMember ? 'true' : 'false');
if (isTeamMember) {
core.info(`Author ${author} is a team member; skipping open PR limit.`);
} else {
core.info(`Author ${author} is not a team member; checking open PR limit.`);
}
limit_open_prs:
runs-on: ubuntu-latest
environment: github-app-auth
needs: team_check
if: ${{ needs.team_check.outputs.is_team_member == 'false' }}
steps:
- name: Checkout scripts
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ github.event.pull_request.base.sha }}
sparse-checkout: |
.github/actions/github-app-token
.github/scripts
fetch-depth: 1
persist-credentials: false
- name: Get GitHub automation token
id: github-auth
uses: ./.github/actions/github-app-token
with:
mode: ${{ vars.GH_APP_AUTH_MODE }}
azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
key-name: ${{ secrets.GH_APP_KEY_NAME }}
github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
repository: ${{ github.repository }}
fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
- name: Enforce open PR limit
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ steps.github-auth.outputs.token }}
script: |
const { enforcePrLimit } = require('./.github/scripts/pr_limit_moderation.js');
await enforcePrLimit({
github,
context,
core,
exemptLabelName: process.env.PR_LIMIT_EXEMPT_LABEL,
maxOpenPrs: Number.parseInt(process.env.MAX_OPEN_PULL_REQUESTS, 10),
labelName: process.env.TOO_MANY_PRS_LABEL,
});
+2 -10
View File
@@ -19,21 +19,13 @@ jobs:
runs-on: ubuntu-22.04
# check out the latest version of the code
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
persist-credentials: false
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: 20
- name: Install Chrome for Puppeteer
run: npx puppeteer browsers install chrome
# Checks the status of hyperlinks in all files
- name: Run linkspector
uses: umbrelladocs/action-linkspector@963b6264d7de32c904942a70b488d3407453049e # v1
uses: umbrelladocs/action-linkspector@v1
with:
reporter: local
filter_mode: nofilter
+12 -97
View File
@@ -2,7 +2,7 @@ name: Merge Gatekeeper
on:
pull_request:
branches: ["main", "feature*"]
branches: [ "main", "feature*" ]
merge_group:
branches: ["main"]
@@ -13,105 +13,20 @@ concurrency:
jobs:
merge-gatekeeper:
runs-on: ubuntu-latest
# Restrict permissions of the GITHUB_TOKEN.
# Docs: https://docs.github.com/en/actions/using-jobs/assigning-permissions-to-jobs
permissions:
checks: read
statuses: read
steps:
- name: Wait for required checks
- name: Run Merge Gatekeeper
# NOTE: v1 is updated to reflect the latest v1.x.y. Please use any tag/branch that suits your needs:
# https://github.com/upsidr/merge-gatekeeper/tags
# https://github.com/upsidr/merge-gatekeeper/branches
uses: upsidr/merge-gatekeeper@v1
if: github.event_name == 'pull_request'
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
env:
TIMEOUT_SECONDS: "3600"
INTERVAL_SECONDS: "30"
SELF_JOB_NAME: ${{ github.job }}
# "Cleanup artifacts", "Agent", "Prepare", and "Upload results" are check runs
# created by an org-level GitHub App (MSDO), not by any workflow in this repo.
# They are outside our control and their transient failures should not block merges.
IGNORED_NAMES: "CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results,review"
with:
script: |
const timeoutSeconds = Number(process.env.TIMEOUT_SECONDS);
const intervalSeconds = Number(process.env.INTERVAL_SECONDS);
const selfName = process.env.SELF_JOB_NAME;
const ignored = new Set(
process.env.IGNORED_NAMES.split(',').map((s) => s.trim()).filter(Boolean),
);
const sha = context.payload.pull_request.head.sha;
const { owner, repo } = context.repo;
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
// Mirrors upsidr/merge-gatekeeper: merge combined-statuses and check-runs
// for the PR head SHA, with combined-statuses winning on name collision.
async function collectChecks() {
const merged = new Map();
const combined = await github.rest.repos.getCombinedStatusForRef({
owner, repo, ref: sha, per_page: 100,
});
for (const s of combined.data.statuses ?? []) {
if (!merged.has(s.context)) {
// Combined-status states: success | pending | error | failure
merged.set(s.context, { name: s.context, state: s.state });
}
}
const runs = await github.paginate(github.rest.checks.listForRef, {
owner, repo, ref: sha, per_page: 100,
});
for (const r of runs) {
if (merged.has(r.name)) continue;
let state;
if (r.status !== 'completed') {
state = 'pending';
} else if (r.conclusion === 'skipped') {
continue; // Skipped runs are dropped, matching the original action.
} else if (r.conclusion === 'success' || r.conclusion === 'neutral') {
state = 'success';
} else {
// cancelled | timed_out | action_required | stale | failure
state = 'error';
}
merged.set(r.name, { name: r.name, state });
}
return [...merged.values()];
}
function evaluate(entries) {
const failed = [];
const pending = [];
const succeeded = [];
for (const e of entries) {
if (e.name === selfName || ignored.has(e.name)) continue;
if (e.state === 'success') succeeded.push(e.name);
else if (e.state === 'error' || e.state === 'failure') failed.push(e.name);
else pending.push(e.name);
}
return { failed, pending, succeeded };
}
const deadline = Date.now() + timeoutSeconds * 1000;
for (;;) {
const entries = await collectChecks();
const { failed, pending, succeeded } = evaluate(entries);
core.info(
`succeeded=${succeeded.length} pending=${pending.length} failed=${failed.length}`,
);
if (failed.length) {
core.setFailed(`Failing checks: ${failed.join(', ')}`);
return;
}
if (pending.length === 0) {
core.info(`All required checks passed: ${succeeded.join(', ') || '(none)'}`);
return;
}
if (Date.now() > deadline) {
core.setFailed(`Timed out waiting for: ${pending.join(', ')}`);
return;
}
core.info(`Waiting on (${pending.length}): ${pending.slice(0, 10).join(', ')}${pending.length > 10 ? ', …' : ''}`);
await sleep(intervalSeconds * 1000);
}
token: ${{ secrets.GITHUB_TOKEN }}
timeout: 3600
interval: 30
ignored: CodeQL,CodeQL analysis (csharp)
+15 -105
View File
@@ -6,23 +6,19 @@ on:
branches: ["main"]
paths:
- "python/**"
- "!python/AGENTS.md"
- "!python/**/AGENTS.md"
- "!python/.github/skills/*"
- "!python/.github/skills/**"
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
jobs:
pre-commit-hooks:
name: Pre-commit Hooks
pre-commit:
name: Checks
if: "!cancelled()"
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
python-version: ["3.10", "3.14"]
runs-on: ubuntu-latest
continue-on-error: true
defaults:
@@ -31,7 +27,7 @@ jobs:
env:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Set up python and install the project
@@ -41,103 +37,17 @@ jobs:
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
- uses: actions/cache@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5
- uses: actions/cache@v5
with:
path: ~/.cache/prek
key: prek|${{ matrix.python-version }}|${{ hashFiles('python/.pre-commit-config.yaml') }}
- uses: j178/prek-action@bdca6f102f98e2b4c7029491a53dfd366469e33d # v2.0.4
name: Run Pre-commit Hooks (excluding poe-check)
path: ~/.cache/pre-commit
key: pre-commit|${{ matrix.python-version }}|${{ hashFiles('python/.pre-commit-config.yaml') }}
- uses: pre-commit/action@v3.0.1
name: Run Pre-Commit Hooks
with:
extra_args: --config python/.pre-commit-config.yaml --all-files
- name: Run Mypy
env:
SKIP: poe-check
with:
extra-args: --cd python --all-files
package-checks:
name: Package Checks
if: "!cancelled()"
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
runs-on: ubuntu-latest
continue-on-error: true
defaults:
run:
working-directory: ./python
env:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
fetch-depth: 0
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- name: Run syntax and pyright across packages
run: uv run poe check-packages
samples-markdown:
name: Samples & Markdown
if: "!cancelled()"
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
runs-on: ubuntu-latest
continue-on-error: true
defaults:
run:
working-directory: ./python
env:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
fetch-depth: 0
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- name: Run samples checks
run: uv run poe check -S
- name: Run markdown code lint
run: uv run poe markdown-code-lint
test-typing:
name: Test Typing Checks
if: "!cancelled()"
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
runs-on: ubuntu-latest
continue-on-error: true
defaults:
run:
working-directory: ./python
env:
UV_PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
fetch-depth: 0
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- name: Run tests/samples type checkers (mypy, pyrefly, ty)
run: uv run python scripts/workspace_poe_tasks.py ci-test-typing
GITHUB_BASE_REF: ${{ github.event.pull_request.base.ref || github.base_ref || 'main' }}
run: uv run poe ci-mypy
@@ -1,431 +0,0 @@
name: Python - Dependency Maintenance
on:
workflow_dispatch:
schedule:
- cron: "0 4 * * 1"
permissions:
contents: write
issues: write
concurrency:
group: python-dependency-maintenance
cancel-in-progress: false
env:
UV_CACHE_DIR: /tmp/.uv-cache
jobs:
dependency-maintenance:
name: Dependency Maintenance
runs-on: ubuntu-latest
env:
# Match the existing Python dependency maintenance workflows. Reevaluate if package
# installability starts differing across supported Python versions.
UV_PYTHON: "3.13"
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
fetch-depth: 0
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
env:
UV_CACHE_DIR: /tmp/.uv-cache
- name: Set dependency release cutoff
run: |
cutoff="$(date -u -d '7 days ago' '+%Y-%m-%dT%H:%M:%SZ')"
echo "DEPENDENCY_RELEASE_CUTOFF=${cutoff}" >> "$GITHUB_ENV"
echo "Using dependency release cutoff: ${cutoff}"
- name: Repin dev dependency declarations
run: uv run poe upgrade-dev-dependency-pins
working-directory: ./python
- name: Refresh lockfile after dev pin updates
run: uv lock
working-directory: ./python
- name: Save dev dependency changes
run: |
DEV_PATCH="${RUNNER_TEMP}/python-dev-dependency-updates.patch"
git diff -- python/pyproject.toml "python/packages/*/pyproject.toml" python/uv.lock > "${DEV_PATCH}"
if [ -s "${DEV_PATCH}" ]; then
echo "has_dev_changes=true" >> "$GITHUB_OUTPUT"
else
echo "has_dev_changes=false" >> "$GITHUB_OUTPUT"
fi
echo "patch=${DEV_PATCH}" >> "$GITHUB_OUTPUT"
id: dev_changes
- name: Run dependency bounds test scenarios
id: validate_bounds_test
continue-on-error: true
run: uv run poe validate-dependency-bounds-test --package "*"
working-directory: ./python
- name: Run dependency upper-bound validation
id: validate_ranges
if: steps.validate_bounds_test.outcome == 'success'
continue-on-error: true
run: uv run poe validate-dependency-bounds-project --mode upper --package "*"
working-directory: ./python
- name: Upload dependency validation reports
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: dependency-maintenance-results
path: |
python/scripts/dependencies/dependency-bounds-test-results.json
python/scripts/dependencies/dependency-range-results.json
if-no-files-found: warn
- name: Create issue for failed dependency bounds test
if: steps.validate_bounds_test.outcome != 'success'
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const fs = require("fs")
const reportPath = "python/scripts/dependencies/dependency-bounds-test-results.json"
const owner = context.repo.owner
const repo = context.repo.repo
const openIssues = await github.paginate(github.rest.issues.listForRepo, {
owner,
repo,
state: "open",
per_page: 100,
})
const openIssueTitles = new Set(
openIssues.filter((issue) => !issue.pull_request).map((issue) => issue.title)
)
const formatError = (message) => String(message || "No error output captured.").replace(/```/g, "'''")
const title = "Dependency bounds test failed"
if (openIssueTitles.has(title)) {
core.info(`Issue already exists: ${title}`)
return
}
const bodyLines = [
"Automated dependency bounds test mode failed before dependency upper-bound validation could run.",
"",
"The weekly dependency maintenance workflow kept only dev dependency updates for the generated PR, if any, and skipped dependency range updates for this run.",
"",
]
if (fs.existsSync(reportPath)) {
const report = JSON.parse(fs.readFileSync(reportPath, "utf8"))
const failedScenarios = (report.scenarios ?? []).filter((scenario) => scenario.status === "failed")
for (const scenario of failedScenarios) {
bodyLines.push(`### ${scenario.name} scenario (${scenario.resolution})`)
const failedPackages = (scenario.packages ?? []).filter((pkg) => pkg.status === "failed")
for (const pkg of failedPackages.slice(0, 10)) {
bodyLines.push(
"",
`- Package: \`${pkg.package_name}\``,
`- Project path: \`${pkg.project_path}\``,
"",
"```",
formatError(pkg.error).slice(0, 3500),
"```"
)
}
if (failedPackages.length > 10) {
bodyLines.push("", `_Additional failed packages omitted: ${failedPackages.length - 10}_`)
}
}
} else {
bodyLines.push(`No dependency bounds test report was found at \`${reportPath}\`.`)
}
bodyLines.push("", `Workflow run: ${context.serverUrl}/${owner}/${repo}/actions/runs/${context.runId}`)
await github.rest.issues.create({
owner,
repo,
title,
body: bodyLines.join("\n"),
})
core.info(`Created issue: ${title}`)
- name: Create issues for failed dependency candidates
if: always()
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const fs = require("fs")
const reportPath = "python/scripts/dependencies/dependency-range-results.json"
if (!fs.existsSync(reportPath)) {
core.info(`No dependency range report found at ${reportPath}`)
return
}
const report = JSON.parse(fs.readFileSync(reportPath, "utf8"))
const dependencyFailures = []
for (const packageResult of report.packages ?? []) {
for (const dependency of packageResult.dependencies ?? []) {
const candidateVersions = new Set(dependency.candidate_versions ?? [])
const failedAttempts = (dependency.attempts ?? []).filter(
(attempt) => attempt.status === "failed" && candidateVersions.has(attempt.trial_upper)
)
if (!failedAttempts.length) {
continue
}
const failuresByVersion = new Map()
for (const attempt of failedAttempts) {
const version = attempt.trial_upper || "unknown"
if (!failuresByVersion.has(version)) {
failuresByVersion.set(version, attempt.error || "No error output captured.")
}
}
dependencyFailures.push({
packageName: packageResult.package_name,
projectPath: packageResult.project_path,
dependencyName: dependency.name,
originalRequirements: dependency.original_requirements ?? [],
finalRequirements: dependency.final_requirements ?? [],
failedVersions: [...failuresByVersion.entries()].map(([version, error]) => ({ version, error })),
})
}
}
if (!dependencyFailures.length) {
core.info("No failing dependency candidates found.")
return
}
const owner = context.repo.owner
const repo = context.repo.repo
const openIssues = await github.paginate(github.rest.issues.listForRepo, {
owner,
repo,
state: "open",
per_page: 100,
})
const openIssueTitles = new Set(
openIssues.filter((issue) => !issue.pull_request).map((issue) => issue.title)
)
const formatError = (message) => String(message || "No error output captured.").replace(/```/g, "'''")
for (const failure of dependencyFailures) {
const title = `Dependency validation failed: ${failure.dependencyName} (${failure.packageName})`
if (openIssueTitles.has(title)) {
core.info(`Issue already exists: ${title}`)
continue
}
const visibleFailures = failure.failedVersions.slice(0, 5)
const omittedCount = failure.failedVersions.length - visibleFailures.length
const failureDetails = visibleFailures
.map(
(entry) =>
`- \`${entry.version}\`\n\n\`\`\`\n${formatError(entry.error).slice(0, 3500)}\n\`\`\``
)
.join("\n\n")
const body = [
"Automated dependency range validation found candidate versions that failed checks.",
"",
`- Package: \`${failure.packageName}\``,
`- Project path: \`${failure.projectPath}\``,
`- Dependency: \`${failure.dependencyName}\``,
`- Original requirements: ${
failure.originalRequirements.length
? failure.originalRequirements.map((value) => `\`${value}\``).join(", ")
: "_none_"
}`,
`- Final requirements after run: ${
failure.finalRequirements.length
? failure.finalRequirements.map((value) => `\`${value}\``).join(", ")
: "_none_"
}`,
"",
"### Failed versions and errors",
failureDetails,
omittedCount > 0 ? `\n_Additional failed versions omitted: ${omittedCount}_` : "",
"",
`Workflow run: ${context.serverUrl}/${owner}/${repo}/actions/runs/${context.runId}`,
].join("\n")
await github.rest.issues.create({
owner,
repo,
title,
body,
})
openIssueTitles.add(title)
core.info(`Created issue: ${title}`)
}
- name: Keep only dev updates when range validation fails
if: steps.validate_bounds_test.outcome != 'success' || steps.validate_ranges.outcome != 'success'
env:
DEV_PATCH: ${{ steps.dev_changes.outputs.patch }}
HAS_DEV_CHANGES: ${{ steps.dev_changes.outputs.has_dev_changes }}
run: |
git restore python/pyproject.toml python/packages/*/pyproject.toml python/uv.lock
if [ "${HAS_DEV_CHANGES}" = "true" ]; then
git apply "${DEV_PATCH}"
fi
- name: Refresh lockfile after dependency range updates
if: steps.validate_bounds_test.outcome == 'success' && steps.validate_ranges.outcome == 'success'
run: uv lock
working-directory: ./python
- name: Install final dependency set
run: uv run poe install
working-directory: ./python
- name: Run final checks
run: uv run poe check
working-directory: ./python
- name: Run final typing
run: uv run poe typing
working-directory: ./python
- name: Commit and push dependency updates
id: commit_updates
run: |
BRANCH="automation/python-dependency-maintenance"
git config user.name "github-actions[bot]"
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
git checkout -B "${BRANCH}"
git add python/pyproject.toml python/packages/*/pyproject.toml python/uv.lock
if git diff --cached --quiet; then
echo "has_changes=false" >> "$GITHUB_OUTPUT"
echo "No dependency updates to commit."
exit 0
fi
git commit -m "Python: chore: update dependencies"
git push --force-with-lease --set-upstream origin "${BRANCH}"
echo "has_changes=true" >> "$GITHUB_OUTPUT"
- name: Create or update dependency maintenance tracking issue
if: steps.commit_updates.outputs.has_changes == 'true'
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const branch = "automation/python-dependency-maintenance"
const prTitle = "Python: chore: update dependencies"
const issueTitle = "Python dependency maintenance PR needed"
const owner = context.repo.owner
const repo = context.repo.repo
const branchRef = await github.rest.git.getRef({
owner,
repo,
ref: `heads/${branch}`,
})
const branchSha = branchRef.data.object.sha
const runUrl = `${context.serverUrl}/${owner}/${repo}/actions/runs/${context.runId}`
const compareUrl = `${context.serverUrl}/${owner}/${repo}/compare/main...${branch}`
const prBody = [
"### Motivation & Context",
"",
"This automated update keeps Python dependency metadata coherent across the uv workspace. Python dependencies can be declared in multiple `pyproject.toml` files, but the workspace has one shared `python/uv.lock`, so dependency maintenance should update and validate them together instead of through per-manifest Dependabot PRs.",
"",
"### Description & Review Guide",
"",
"- **What are the major changes?** Refresh Python dev dependency pins, update package dependency ranges when the bounds tooling succeeds, and refresh `python/uv.lock`.",
"- **What is the impact of these changes?** Keeps the Python workspace dependency set current while producing at most one dependency PR for the week. If dependency range validation fails, this PR contains only the dev dependency updates that still pass final validation, and separate issues track failed range candidates.",
"- **What do you want reviewers to focus on?** Review the generated dependency metadata changes and any dependency-range updates for package-specific compatibility concerns.",
'<!-- NOTE FOR AUTOMATED/AI REVIEWERS: the "What do you want reviewers to focus on?"',
" item above is intended for human reviewers only. Automated/AI reviewers should",
" ignore it and review the entire change rather than narrowing scope to it. -->",
"",
"",
"### Related Issue",
"",
"No linked issue; this PR is generated by scheduled Python dependency maintenance.",
"",
"### Contribution Checklist",
"",
"- [x] The code builds clean without any errors or warnings",
"- [x] All unit tests pass, and I have added new tests where possible",
"- [x] The PR follows the [Contribution Guidelines](https://github.com/microsoft/agent-framework/blob/main/CONTRIBUTING.md)",
"- [ ] This PR is linked to an issue and there is no other open PR for this issue (see Related Issue above).",
'- [x] **This is not a breaking change.** If it _is_ a breaking change, add the `breaking change` label (or add "[BREAKING]" to the title prefix, before or after any language prefix) — a workflow keeps the label and title prefix in sync automatically.',
].join("\n")
const prBodyFence = "```"
const command = [
"PR_BODY_FILE=\"$(mktemp)\"",
`cat > "$PR_BODY_FILE" <<'EOF'`,
prBody,
"EOF",
"gh pr create --repo microsoft/agent-framework --base main \\",
` --head ${owner}:${branch} \\`,
` --title "${prTitle}" \\`,
" --body-file \"$PR_BODY_FILE\"",
].join("\n")
const issueBody = [
"The Python dependency maintenance workflow generated and validated dependency updates, then pushed them to the automation branch.",
"",
`- Branch: \`${branch}\``,
`- Commit: \`${branchSha}\``,
`- Compare: ${compareUrl}`,
`- Workflow run: ${runUrl}`,
"",
"GitHub Actions is not permitted to create pull requests in this repository, so a maintainer needs to create the PR manually.",
"",
"### Create the PR",
"",
"```bash",
command,
"```",
"",
"### Generated PR body",
"",
prBodyFence,
prBody,
prBodyFence,
].join("\n")
const openIssues = await github.paginate(github.rest.issues.listForRepo, {
owner,
repo,
state: "open",
per_page: 100,
})
const existingIssue = openIssues.find((issue) => !issue.pull_request && issue.title === issueTitle)
if (existingIssue) {
await github.rest.issues.update({
owner,
repo,
issue_number: existingIssue.number,
title: issueTitle,
body: issueBody,
})
core.info(`Updated issue #${existingIssue.number}: ${issueTitle}`)
} else {
const createdIssue = await github.rest.issues.create({
owner,
repo,
title: issueTitle,
body: issueBody,
})
core.info(`Created issue #${createdIssue.data.number}: ${issueTitle}`)
}
+2 -2
View File
@@ -24,9 +24,9 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up uv
uses: astral-sh/setup-uv@11f9893b081a58869d3b5fccaea48c9e9e46f990 # v8.3.2
uses: astral-sh/setup-uv@v7
with:
version-file: "python/pyproject.toml"
enable-cache: true
@@ -1,637 +0,0 @@
#
# Dedicated Python integration tests workflow, called from the manual integration test orchestrator.
# Runs all tests (unit + integration) split into parallel jobs by provider.
#
# NOTE: This workflow and python-merge-tests.yml share the same set of parallel
# test jobs. Keep them in sync — when adding, removing, or modifying a job here,
# apply the same change to python-merge-tests.yml.
#
name: python-integration-tests
on:
workflow_call:
inputs:
checkout-ref:
description: "Immutable commit SHA to check out"
required: true
type: string
secrets:
ANTHROPIC_API_KEY:
required: true
AZURE_CLIENT_ID:
required: true
AZURE_TENANT_ID:
required: true
AZURE_SUBSCRIPTION_ID:
required: true
COPILOT_GITHUB_TOKEN:
required: true
FOUNDRY_MODELS_API_KEY:
required: false
OPENAI__APIKEY:
required: true
permissions:
contents: read
env:
UV_CACHE_DIR: /tmp/.uv-cache
UV_PYTHON: "3.13"
jobs:
# Unit tests: all non-integration tests across all packages
python-tests-unit:
name: Python Integration Tests - Unit
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (unit tests only)
run: >
uv run poe test -A
-m "not integration"
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
# OpenAI integration tests
python-tests-openai:
name: Python Integration Tests - OpenAI
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (OpenAI integration)
run: >
uv run pytest --import-mode=importlib
packages/openai/tests
-m "integration and not azure"
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-openai
path: ./python/pytest.xml
if-no-files-found: ignore
# Azure OpenAI integration tests
python-tests-azure-openai:
name: Python Integration Tests - Azure OpenAI
permissions:
contents: read
id-token: write
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_MODEL: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest (Azure OpenAI integration)
run: >
uv run pytest --import-mode=importlib
packages/openai/tests/openai/test_openai_chat_completion_client_azure.py
packages/openai/tests/openai/test_openai_chat_client_azure.py
packages/openai/tests/openai/test_openai_embedding_client_azure.py
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-azure-openai
path: ./python/pytest.xml
if-no-files-found: ignore
# Misc integration tests (Anthropic, Hyperlight, Ollama, MCP)
python-tests-misc-integration:
name: Python Integration Tests - Misc
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
OLLAMA_MODEL: qwen2.5:1.5b
OLLAMA_EMBEDDING_MODEL: nomic-embed-text
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Install Ollama
run: curl -fsSL https://ollama.com/install.sh | sh
working-directory: .
- name: Cache Ollama models
uses: actions/cache@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
with:
path: ~/.ollama/models
key: ollama-models-qwen2.5-1.5b-nomic-embed-text-v1
- name: Start Ollama and pull models
run: |
# Stop any Ollama instance auto-started by the install script
pkill ollama || true
sleep 2
ollama serve &
for i in $(seq 1 30); do
if curl -sf http://localhost:11434/api/tags > /dev/null 2>&1; then
break
fi
sleep 1
done
# Pull models with retry for transient 429 rate limits
for model in qwen2.5:1.5b nomic-embed-text; do
pulled=false
for attempt in 1 2 3; do
if ollama pull "$model"; then
pulled=true
break
fi
echo "Retry $attempt for $model (waiting 15s)..."
sleep 15
done
if [ "$pulled" != "true" ]; then
echo "ERROR: Failed to pull $model after 3 attempts"
exit 1
fi
done
working-directory: .
- name: Start local MCP server
id: local-mcp
uses: ./.github/actions/setup-local-mcp-server
with:
fallback_url: ${{ env.LOCAL_MCP_URL }}
- name: Prefer local MCP URL when available
run: echo "LOCAL_MCP_URL=${{ steps.local-mcp.outputs.effective_url }}" >> "$GITHUB_ENV"
- name: Test with pytest (Anthropic, Hyperlight, Ollama, MCP integration)
run: >
uv run pytest --import-mode=importlib
packages/anthropic/tests
packages/hyperlight/tests
packages/ollama/tests
packages/core/tests/core/test_mcp.py
packages/hosting-mcp/tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 30
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-misc
path: ./python/pytest.xml
if-no-files-found: ignore
- name: Stop local MCP server
if: always()
shell: bash
run: |
set -euo pipefail
server_pid="${{ steps.local-mcp.outputs.pid }}"
if [[ -z "$server_pid" ]]; then
exit 0
fi
if ! kill -0 "$server_pid" 2>/dev/null; then
exit 0
fi
kill -TERM -- "-$server_pid" 2>/dev/null || kill -TERM "$server_pid" 2>/dev/null || true
for _ in $(seq 1 10); do
if ! kill -0 "$server_pid" 2>/dev/null; then
exit 0
fi
sleep 1
done
kill -KILL -- "-$server_pid" 2>/dev/null || kill -KILL "$server_pid" 2>/dev/null || true
# Azure Functions + Durable Task integration tests
python-tests-functions:
name: Python Integration Tests - Functions
permissions:
contents: read
id-token: write
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
UV_PYTHON: "3.11"
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
FUNCTIONS_WORKER_RUNTIME: "python"
DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
AzureWebJobsStorage: "UseDevelopmentStorage=true"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Set up Azure Functions Integration Test Emulators
uses: ./.github/actions/azure-functions-integration-setup
id: azure-functions-setup
- name: Test with pytest (Functions + Durable Task integration)
run: >
uv run pytest --import-mode=importlib
packages/azurefunctions/tests/integration_tests
packages/durabletask/tests/integration_tests
-m integration
-n logical --dist worksteal
-x
--timeout=480 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-functions
path: ./python/pytest.xml
if-no-files-found: ignore
# Foundry integration tests
python-tests-foundry:
name: Python Integration Tests - Foundry
permissions:
contents: read
id-token: write
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
FOUNDRY_AGENT_NAME: ${{ vars.FOUNDRY_AGENT_NAME }}
FOUNDRY_AGENT_VERSION: ${{ vars.FOUNDRY_AGENT_VERSION }}
FOUNDRY_MODELS_ENDPOINT: ${{ vars.FOUNDRY_MODELS_ENDPOINT || '' }}
FOUNDRY_MODELS_API_KEY: ${{ secrets.FOUNDRY_MODELS_API_KEY || '' }}
FOUNDRY_EMBEDDING_MODEL: ${{ vars.FOUNDRY_EMBEDDING_MODEL || '' }}
FOUNDRY_IMAGE_EMBEDDING_MODEL: ${{ vars.FOUNDRY_IMAGE_EMBEDDING_MODEL || '' }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest
timeout-minutes: 15
run: >
uv run pytest --import-mode=importlib
packages/foundry/tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-foundry
path: ./python/pytest.xml
if-no-files-found: ignore
# Foundry Hosting integration tests
python-tests-foundry-hosting:
name: Python Integration Tests - Foundry Hosting
permissions:
contents: read
id-token: write
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest (Foundry Hosting integration)
timeout-minutes: 15
run: >
uv run pytest --import-mode=importlib
packages/foundry_hosting/tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-foundry-hosting
path: ./python/pytest.xml
if-no-files-found: ignore
# Azure Cosmos integration tests
python-tests-cosmos:
name: Python Integration Tests - Cosmos
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
services:
cosmosdb:
image: mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator:vnext-preview
ports:
- 8081:8081
env:
AZURE_COSMOS_ENDPOINT: "http://localhost:8081/"
# Static Azure Cosmos DB emulator key (documented): https://learn.microsoft.com/en-us/azure/cosmos-db/emulator
AZURE_COSMOS_KEY: "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
AZURE_COSMOS_DATABASE_NAME: "agent-framework-cosmos-it-db"
AZURE_COSMOS_CONTAINER_NAME: "agent-framework-cosmos-it-container"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Wait for Cosmos DB emulator
run: |
for i in {1..60}; do
if curl --silent --show-error http://localhost:8081/ > /dev/null; then
echo "Cosmos DB emulator is ready."
exit 0
fi
sleep 2
done
echo "Cosmos DB emulator did not become ready in time." >&2
exit 1
- name: Test with pytest (Cosmos integration)
run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5 --junitxml=${{ github.workspace }}/python/pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-cosmos
path: ./python/pytest.xml
if-no-files-found: ignore
# GitHub Copilot integration tests
python-tests-github-copilot:
name: Python Integration Tests - GitHub Copilot
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
GITHUB_COPILOT_TIMEOUT: "120"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (GitHub Copilot integration)
run: >
uv run pytest --import-mode=importlib
packages/github_copilot/tests
-m integration
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-github-copilot
path: ./python/pytest.xml
if-no-files-found: ignore
# Integration test trend report (aggregates per-job JUnit XML results)
python-integration-test-report:
name: Integration Test Report
if: >
always() &&
(contains(join(needs.*.result, ','), 'success') ||
contains(join(needs.*.result, ','), 'failure'))
needs:
[
python-tests-openai,
python-tests-azure-openai,
python-tests-misc-integration,
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
python-tests-github-copilot,
]
runs-on: ubuntu-latest
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
with:
ref: ${{ inputs.checkout-ref }}
persist-credentials: false
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Download all test results from current run
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
pattern: test-results-*
path: test-results/
- name: Restore report history cache
uses: actions/cache/restore@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: python/integration-report-history.json
key: integration-report-history-integration-${{ github.run_id }}
restore-keys: |
integration-report-history-integration-
- name: Generate trend report
run: >
uv run python scripts/integration_test_report/aggregate.py
../test-results/
integration-report-history.json
integration-test-report.md
- name: Post to Job Summary
if: always()
run: cat integration-test-report.md >> $GITHUB_STEP_SUMMARY
- name: Save report history cache
if: always()
uses: actions/cache/save@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: python/integration-report-history.json
key: integration-report-history-integration-${{ github.run_id }}
- name: Upload unified trend report
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: integration-test-report
path: |
python/integration-test-report.md
python/integration-report-history.json
python-integration-tests-check:
if: always()
runs-on: ubuntu-latest
needs:
[
python-tests-unit,
python-tests-openai,
python-tests-azure-openai,
python-tests-misc-integration,
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
python-tests-github-copilot
]
steps:
- name: Fail workflow if tests failed
if: contains(join(needs.*.result, ','), 'failure')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
script: core.setFailed('Integration Tests Failed!')
- name: Fail workflow if tests cancelled
if: contains(join(needs.*.result, ','), 'cancelled')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
script: core.setFailed('Integration Tests Cancelled!')
+7 -12
View File
@@ -24,17 +24,13 @@ jobs:
outputs:
pythonChanges: ${{ steps.filter.outputs.python}}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: dorny/paths-filter@7b450fff21473bca461d4b92ce414b9d0420d706 # v4.0.2
- uses: actions/checkout@v6
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
python:
- 'python/**'
- '!python/AGENTS.md'
- '!python/**/AGENTS.md'
- '!python/.github/skills/*'
- '!python/.github/skills/**'
# run only if 'python' files were changed
- name: python tests
if: steps.filter.outputs.python == 'true'
@@ -63,7 +59,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
@@ -71,7 +67,6 @@ jobs:
with:
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
exclude-packages: ${{ matrix.python-version == '3.10' && 'agent-framework-github-copilot agent-framework-azure-cosmos-memory' || '' }}
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
@@ -80,9 +75,6 @@ jobs:
- name: Run lab tests
run: cd packages/lab && uv run poe test
- name: Run resource-intensive lab tests
run: cd packages/lab && uv run pytest -m "resource_intensive and not integration" --junitxml=test-results-resource-intensive.xml
- name: Run lab lint
run: cd packages/lab && uv run poe lint
@@ -92,10 +84,13 @@ jobs:
- name: Run lab type checking
run: cd packages/lab && uv run poe pyright
- name: Run lab mypy
run: cd packages/lab && uv run poe mypy
# Surface failing tests
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/packages/lab/**.xml
summary: true
+76 -689
View File
@@ -1,9 +1,4 @@
name: Python - Merge - Tests
#
# NOTE: This workflow and python-integration-tests.yml share the same set of
# parallel test jobs. Keep them in sync — when adding, removing, or modifying a
# job here, apply the same change to python-integration-tests.yml.
#
on:
workflow_dispatch:
@@ -15,13 +10,13 @@ on:
- cron: "0 0 * * *" # Run at midnight UTC daily
permissions:
contents: read
contents: write
id-token: write
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
UV_PYTHON: "3.13"
RUN_INTEGRATION_TESTS: "true"
RUN_SAMPLES_TESTS: ${{ vars.RUN_SAMPLES_TESTS }}
jobs:
@@ -31,64 +26,15 @@ jobs:
contents: read
pull-requests: read
outputs:
pythonChanges: ${{ steps.filter.outputs.python }}
coreChanged: ${{ steps.filter.outputs.core }}
openaiChanged: ${{ steps.filter.outputs.openai }}
azureChanged: ${{ steps.filter.outputs.azure }}
miscChanged: ${{ steps.filter.outputs.misc }}
functionsChanged: ${{ steps.filter.outputs.functions }}
foundryChanged: ${{ steps.filter.outputs.foundry }}
foundryHostingChanged: ${{ steps.filter.outputs.foundry_hosting }}
cosmosChanged: ${{ steps.filter.outputs.cosmos }}
githubCopilotChanged: ${{ steps.filter.outputs.github_copilot }}
pythonChanges: ${{ steps.filter.outputs.python}}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: dorny/paths-filter@7b450fff21473bca461d4b92ce414b9d0420d706 # v4.0.2
- uses: actions/checkout@v6
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
python:
- 'python/**'
- '.github/actions/setup-local-mcp-server/**'
- '.github/workflows/python-merge-tests.yml'
- '.github/workflows/python-integration-tests.yml'
core:
- 'python/packages/core/agent_framework/_*.py'
- 'python/packages/core/agent_framework/_workflows/**'
- 'python/packages/core/agent_framework/exceptions.py'
- 'python/packages/core/agent_framework/observability.py'
openai:
- 'python/packages/core/agent_framework/openai/**'
- 'python/packages/openai/**'
- 'python/samples/**/providers/openai/**'
azure:
- 'python/packages/openai/**'
- 'python/packages/core/agent_framework/azure/**'
- 'python/samples/**/providers/azure/**'
misc:
- 'python/packages/anthropic/**'
- 'python/packages/hyperlight/**'
- 'python/packages/ollama/**'
- 'python/packages/core/agent_framework/_mcp.py'
- 'python/packages/core/tests/core/test_mcp.py'
- 'python/packages/hosting-mcp/**'
- 'python/scripts/local_mcp_streamable_http_server.py'
- '.github/actions/setup-local-mcp-server/**'
- '.github/workflows/python-merge-tests.yml'
- '.github/workflows/python-integration-tests.yml'
functions:
- 'python/packages/azurefunctions/**'
- 'python/packages/durabletask/**'
foundry:
- 'python/packages/foundry/**'
- 'python/samples/**/providers/foundry/**'
- 'python/samples/02-agents/embeddings/foundry_embeddings.py'
foundry_hosting:
- 'python/packages/foundry_hosting/**'
cosmos:
- 'python/packages/azure-cosmos/**'
github_copilot:
- 'python/packages/github_copilot/**'
# run only if 'python' files were changed
- name: python tests
if: steps.filter.outputs.python == 'true'
@@ -97,341 +43,51 @@ jobs:
- name: not python tests
if: steps.filter.outputs.python != 'true'
run: echo "NOT python file"
# Unit tests: always run all non-integration tests across all packages
python-tests-unit:
name: Python Tests - Unit
python-tests-core:
name: Python Tests - Core
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true'
runs-on: ubuntu-latest
environment: integration
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (unit tests only)
run: >
uv run poe test -A
-m "not integration"
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Unit test results
# OpenAI integration tests
python-tests-openai:
name: Python Tests - OpenAI Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.openaiChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
if: github.event_name != 'pull_request' && needs.paths-filter.outputs.pythonChanges == 'true'
runs-on: ${{ matrix.os }}
environment: ${{ matrix.environment }}
strategy:
fail-fast: true
matrix:
python-version: ["3.10"]
os: [ubuntu-latest]
environment: ["integration"]
env:
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
UV_PYTHON: ${{ matrix.python-version }}
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (OpenAI integration)
run: >
uv run pytest --import-mode=importlib
packages/openai/tests
-m "integration and not azure"
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
working-directory: ./python
- name: Test OpenAI samples
timeout-minutes: 10
if: env.RUN_SAMPLES_TESTS == 'true'
run: uv run pytest tests/samples/ -m "openai"
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: OpenAI integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-openai
path: ./python/pytest.xml
if-no-files-found: ignore
# Azure OpenAI integration tests
python-tests-azure-openai:
name: Python Tests - Azure OpenAI Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.azureChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_MODEL: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest (Azure OpenAI integration)
run: >
uv run pytest --import-mode=importlib
packages/openai/tests/openai/test_openai_chat_completion_client_azure.py
packages/openai/tests/openai/test_openai_chat_client_azure.py
packages/openai/tests/openai/test_openai_embedding_client_azure.py
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
working-directory: ./python
- name: Test Azure samples
timeout-minutes: 10
if: env.RUN_SAMPLES_TESTS == 'true'
run: uv run pytest tests/samples/ -m "azure"
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Azure OpenAI integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-azure-openai
path: ./python/pytest.xml
if-no-files-found: ignore
# Misc integration tests (Anthropic, Ollama, MCP)
python-tests-misc-integration:
name: Python Tests - Misc Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.miscChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
OLLAMA_MODEL: qwen2.5:1.5b
OLLAMA_EMBEDDING_MODEL: nomic-embed-text
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Install Ollama
run: curl -fsSL https://ollama.com/install.sh | sh
working-directory: .
- name: Cache Ollama models
uses: actions/cache@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
with:
path: ~/.ollama/models
key: ollama-models-qwen2.5-1.5b-nomic-embed-text-v1
- name: Start Ollama and pull models
run: |
# Stop any Ollama instance auto-started by the install script
pkill ollama || true
sleep 2
ollama serve &
for i in $(seq 1 30); do
if curl -sf http://localhost:11434/api/tags > /dev/null 2>&1; then
break
fi
sleep 1
done
# Pull models with retry for transient 429 rate limits
for model in qwen2.5:1.5b nomic-embed-text; do
pulled=false
for attempt in 1 2 3; do
if ollama pull "$model"; then
pulled=true
break
fi
echo "Retry $attempt for $model (waiting 15s)..."
sleep 15
done
if [ "$pulled" != "true" ]; then
echo "ERROR: Failed to pull $model after 3 attempts"
exit 1
fi
done
working-directory: .
- name: Start local MCP server
id: local-mcp
uses: ./.github/actions/setup-local-mcp-server
with:
fallback_url: ${{ env.LOCAL_MCP_URL }}
- name: Prefer local MCP URL when available
run: echo "LOCAL_MCP_URL=${{ steps.local-mcp.outputs.effective_url }}" >> "$GITHUB_ENV"
- name: Test with pytest (Anthropic, Hyperlight, Ollama, MCP integration)
run: >
uv run pytest --import-mode=importlib
packages/anthropic/tests
packages/hyperlight/tests
packages/ollama/tests
packages/core/tests/core/test_mcp.py
packages/hosting-mcp/tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 30
--junitxml=pytest.xml
working-directory: ./python
- name: Stop local MCP server
if: always()
shell: bash
run: |
set -euo pipefail
server_pid="${{ steps.local-mcp.outputs.pid }}"
if [[ -z "$server_pid" ]]; then
exit 0
fi
if ! kill -0 "$server_pid" 2>/dev/null; then
exit 0
fi
kill -TERM -- "-$server_pid" 2>/dev/null || kill -TERM "$server_pid" 2>/dev/null || true
for _ in $(seq 1 10); do
if ! kill -0 "$server_pid" 2>/dev/null; then
exit 0
fi
sleep 1
done
kill -KILL -- "-$server_pid" 2>/dev/null || kill -KILL "$server_pid" 2>/dev/null || true
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Misc integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-misc
path: ./python/pytest.xml
if-no-files-found: ignore
# Azure Functions + Durable Task integration tests
python-tests-functions:
name: Python Tests - Functions Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.functionsChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
UV_PYTHON: "3.11"
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_EMBEDDING_MODEL: ${{ vars.OPENAI_EMBEDDING_MODEL_ID }}
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
ANTHROPIC_CHAT_MODEL_ID: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
# For Azure Functions integration tests
FUNCTIONS_WORKER_RUNTIME: "python"
DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
AzureWebJobsStorage: "UseDevelopmentStorage=true"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
@@ -439,373 +95,104 @@ jobs:
- name: Set up Azure Functions Integration Test Emulators
uses: ./.github/actions/azure-functions-integration-setup
id: azure-functions-setup
- name: Test with pytest (Functions + Durable Task integration)
run: >
uv run pytest --import-mode=importlib
packages/azurefunctions/tests/integration_tests
packages/durabletask/tests/integration_tests
-m integration
-n logical --dist worksteal
-x
--timeout=480 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Test with pytest
timeout-minutes: 10
run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 600 --retries 3 --retry-delay 10
working-directory: ./python
- name: Test core samples
timeout-minutes: 10
if: env.RUN_SAMPLES_TESTS == 'true'
run: uv run pytest tests/samples/ -m "openai" -m "azure"
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
path: ./python/**.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Functions integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-functions
path: ./python/pytest.xml
if-no-files-found: ignore
title: Test results
python-tests-foundry:
name: Python Integration Tests - Foundry
python-tests-azure-ai:
name: Python Tests - Azure AI
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.foundryChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
if: github.event_name != 'pull_request' && needs.paths-filter.outputs.pythonChanges == 'true'
runs-on: ${{ matrix.os }}
environment: ${{ matrix.environment }}
strategy:
fail-fast: true
matrix:
python-version: ["3.10"]
os: [ubuntu-latest]
environment: ["integration"]
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
FOUNDRY_AGENT_NAME: ${{ vars.FOUNDRY_AGENT_NAME }}
FOUNDRY_AGENT_VERSION: ${{ vars.FOUNDRY_AGENT_VERSION }}
FOUNDRY_MODELS_ENDPOINT: ${{ vars.FOUNDRY_MODELS_ENDPOINT || '' }}
FOUNDRY_MODELS_API_KEY: ${{ secrets.FOUNDRY_MODELS_API_KEY || '' }}
FOUNDRY_EMBEDDING_MODEL: ${{ vars.FOUNDRY_EMBEDDING_MODEL || '' }}
FOUNDRY_IMAGE_EMBEDDING_MODEL: ${{ vars.FOUNDRY_IMAGE_EMBEDDING_MODEL || '' }}
UV_PYTHON: ${{ matrix.python-version }}
AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZUREAI__ENDPOINT }}
AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREAI__DEPLOYMENTNAME }}
LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest
timeout-minutes: 15
run: >
uv run pytest --import-mode=importlib
packages/foundry/tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
timeout-minutes: 10
run: uv run --directory packages/azure-ai poe integration-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10
working-directory: ./python
- name: Test Azure AI samples
timeout-minutes: 10
if: env.RUN_SAMPLES_TESTS == 'true'
run: uv run pytest tests/samples/ -m "azure-ai"
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
path: ./python/**.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-foundry
path: ./python/pytest.xml
if-no-files-found: ignore
# Foundry Hosting integration tests
python-tests-foundry-hosting:
name: Python Tests - Foundry Hosting Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.foundryHostingChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Azure CLI Login
if: github.event_name != 'pull_request'
uses: azure/login@a457da9ea143d694b1b9c7c869ebb04ebe844ef5 # v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- name: Test with pytest (Foundry Hosting integration)
timeout-minutes: 15
run: >
uv run pytest --import-mode=importlib
packages/foundry_hosting/tests
-m integration
-n logical --dist worksteal
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Foundry Hosting integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-foundry-hosting
path: ./python/pytest.xml
if-no-files-found: ignore
# TODO: Add python-tests-lab
# Azure Cosmos integration tests
python-tests-cosmos:
name: Python Tests - Cosmos Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.cosmosChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
services:
cosmosdb:
image: mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator:vnext-preview
ports:
- 8081:8081
env:
AZURE_COSMOS_ENDPOINT: "http://localhost:8081/"
# Static Azure Cosmos DB emulator key (documented): https://learn.microsoft.com/en-us/azure/cosmos-db/emulator
AZURE_COSMOS_KEY: "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
AZURE_COSMOS_DATABASE_NAME: "agent-framework-cosmos-it-db"
AZURE_COSMOS_CONTAINER_NAME: "agent-framework-cosmos-it-container"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Wait for Cosmos DB emulator
run: |
for i in {1..60}; do
if curl --silent --show-error http://localhost:8081/ > /dev/null; then
echo "Cosmos DB emulator is ready."
exit 0
fi
sleep 2
done
echo "Cosmos DB emulator did not become ready in time." >&2
exit 1
- name: Test with pytest (Cosmos integration)
run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5 --junitxml=${{ github.workspace }}/python/pytest.xml
working-directory: ./python
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: Cosmos integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-cosmos
path: ./python/pytest.xml
if-no-files-found: ignore
# GitHub Copilot integration tests
python-tests-github-copilot:
name: Python Tests - GitHub Copilot Integration
needs: paths-filter
if: >
github.event_name != 'pull_request' &&
needs.paths-filter.outputs.pythonChanges == 'true' &&
(github.event_name != 'merge_group' ||
needs.paths-filter.outputs.githubCopilotChanged == 'true' ||
needs.paths-filter.outputs.coreChanged == 'true')
runs-on: ubuntu-latest
environment: integration
timeout-minutes: 60
env:
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
GITHUB_COPILOT_TIMEOUT: "120"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Test with pytest (GitHub Copilot integration)
run: >
uv run pytest --import-mode=importlib
packages/github_copilot/tests
-m integration
--timeout=120 --session-timeout=900 --timeout_method thread
--retries 2 --retry-delay 5
--junitxml=pytest.xml
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
with:
path: ./python/pytest.xml
summary: true
display-options: fEX
fail-on-empty: false
title: GitHub Copilot integration test results
- name: Upload test results
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: test-results-github-copilot
path: ./python/pytest.xml
if-no-files-found: ignore
# Integration test trend report (aggregates per-job JUnit XML results)
python-integration-test-report:
name: Integration Test Report
if: >
always() &&
(contains(join(needs.*.result, ','), 'success') ||
contains(join(needs.*.result, ','), 'failure'))
needs:
[
python-tests-openai,
python-tests-azure-openai,
python-tests-misc-integration,
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
python-tests-github-copilot,
]
runs-on: ubuntu-latest
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Set up python and install the project
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
os: ${{ runner.os }}
- name: Download all test results from current run
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
pattern: test-results-*
path: test-results/
- name: Restore report history cache
uses: actions/cache/restore@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: python/integration-report-history.json
key: integration-report-history-merge-${{ github.run_id }}
restore-keys: |
integration-report-history-merge-
- name: Generate trend report
run: >
uv run python scripts/integration_test_report/aggregate.py
../test-results/
integration-report-history.json
integration-test-report.md
- name: Post to Job Summary
if: always()
run: cat integration-test-report.md >> $GITHUB_STEP_SUMMARY
- name: Save report history cache
if: always()
uses: actions/cache/save@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: python/integration-report-history.json
key: integration-report-history-merge-${{ github.run_id }}
- name: Upload unified trend report
if: always()
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: integration-test-report
path: |
python/integration-test-report.md
python/integration-report-history.json
python-integration-tests-check:
if: always()
runs-on: ubuntu-latest
needs:
[
python-tests-unit,
python-tests-openai,
python-tests-azure-openai,
python-tests-misc-integration,
python-tests-functions,
python-tests-foundry,
python-tests-foundry-hosting,
python-tests-cosmos,
python-tests-github-copilot,
python-tests-core,
python-tests-azure-ai
]
steps:
- name: Fail workflow if tests failed
id: check_tests_failed
if: contains(join(needs.*.result, ','), 'failure')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Failed!')
- name: Fail workflow if tests cancelled
id: check_tests_cancelled
if: contains(join(needs.*.result, ','), 'cancelled')
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
uses: actions/github-script@v8
with:
script: core.setFailed('Integration Tests Cancelled!')
+2 -2
View File
@@ -23,7 +23,7 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
@@ -56,7 +56,7 @@ jobs:
- name: Build the package
run: uv run poe --directory packages/${{ env.PACKAGE }} build
- name: Release
uses: softprops/action-gh-release@718ea10b132b3b2eba29c1007bb80653f286566b # v3.0.1
uses: softprops/action-gh-release@v2
with:
files: |
python/dist/*
@@ -1,732 +0,0 @@
name: Python - Sample Validation
on:
workflow_dispatch:
schedule:
- cron: "0 0 * * *" # Run at midnight UTC daily
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
# GitHub Copilot configuration
GITHUB_COPILOT_MODEL: claude-opus-4.6
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
permissions:
contents: read
id-token: write
jobs:
validate-01-get-started:
name: Validate 01-get-started
runs-on: ubuntu-latest
environment: integration
env:
# Required configuration for get-started samples
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 01-get-started --save-report --report-name 01-get-started
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-01-get-started
path: python/samples/sample_validation/reports/
validate-02-agents:
name: Validate 02-agents
runs-on: ubuntu-latest
environment: integration
env:
# Foundry configuration
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }}
AZURE_OPENAI_CHAT_MODEL: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_EMBEDDING_MODEL: ${{ vars.AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME || vars.AZUREOPENAI__EMBEDDINGDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
# GitHub MCP
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
# Observability
ENABLE_INSTRUMENTATION: "true"
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
echo "AZURE_OPENAI_MODEL=$AZURE_OPENAI_MODEL" >> .env
echo "AZURE_OPENAI_CHAT_COMPLETION_MODEL=$AZURE_OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "AZURE_OPENAI_CHAT_MODEL=$AZURE_OPENAI_CHAT_MODEL" >> .env
echo "AZURE_OPENAI_EMBEDDING_MODEL=$AZURE_OPENAI_EMBEDDING_MODEL" >> .env
echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
echo "GITHUB_PAT=$GITHUB_PAT" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents --exclude providers --save-report --report-name 02-agents
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents
path: python/samples/sample_validation/reports/
validate-02-agents-openai:
name: Validate 02-agents/providers/openai
runs-on: ubuntu-latest
environment: integration
env:
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
echo "OPENAI_MODEL=$OPENAI_MODEL" >> .env
echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/openai --save-report --report-name 02-agents-openai
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-openai
path: python/samples/sample_validation/reports/
validate-02-agents-azure:
name: Validate 02-agents/providers/azure
runs-on: ubuntu-latest
environment: integration
env:
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
AZURE_OPENAI_API_VERSION: ${{ vars.AZURE_OPENAI_API_VERSION || '' }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
echo "AZURE_OPENAI_MODEL=$AZURE_OPENAI_MODEL" >> .env
echo "AZURE_OPENAI_API_VERSION=$AZURE_OPENAI_API_VERSION" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/azure --save-report --report-name 02-agents-azure
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-azure
path: python/samples/sample_validation/reports/
validate-02-agents-anthropic:
name: Validate 02-agents/providers/anthropic
runs-on: ubuntu-latest
environment: integration
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
ANTHROPIC_CHAT_MODEL: ${{ vars.ANTHROPIC_CHAT_MODEL_ID }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY" >> .env
echo "ANTHROPIC_CHAT_MODEL=$ANTHROPIC_CHAT_MODEL" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/anthropic --save-report --report-name 02-agents-anthropic
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-anthropic
path: python/samples/sample_validation/reports/
validate-02-agents-github-copilot:
name: Validate 02-agents/providers/github_copilot
runs-on: ubuntu-latest
environment: integration
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/github_copilot --save-report --report-name 02-agents-github-copilot
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-github-copilot
path: python/samples/sample_validation/reports/
validate-02-agents-amazon:
name: Validate 02-agents/providers/amazon
if: false # Temporarily disabled - requires AWS credentials
runs-on: ubuntu-latest
environment: integration
env:
BEDROCK_CHAT_MODEL: ${{ vars.BEDROCK__CHATMODELID }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/amazon --save-report --report-name 02-agents-amazon
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-amazon
path: python/samples/sample_validation/reports/
validate-02-agents-ollama:
name: Validate 02-agents/providers/ollama
if: false # Temporarily disabled - requires local Ollama server
runs-on: ubuntu-latest
environment: integration
env:
OLLAMA_MODEL: ${{ vars.OLLAMA__MODEL }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/ollama --save-report --report-name 02-agents-ollama
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-ollama
path: python/samples/sample_validation/reports/
validate-02-agents-foundry:
name: Validate 02-agents/providers/foundry
if: false # Temporarily disabled - provider folder also contains the local Foundry sample
runs-on: ubuntu-latest
environment: integration
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
FOUNDRY_AGENT_NAME: ${{ vars.FOUNDRY_AGENT_NAME || '' }}
FOUNDRY_AGENT_VERSION: ${{ vars.FOUNDRY_AGENT_VERSION || '' }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
echo "FOUNDRY_AGENT_NAME=$FOUNDRY_AGENT_NAME" >> .env
echo "FOUNDRY_AGENT_VERSION=$FOUNDRY_AGENT_VERSION" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/foundry --save-report --report-name 02-agents-foundry
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-foundry
path: python/samples/sample_validation/reports/
validate-02-agents-copilotstudio:
name: Validate 02-agents/providers/copilotstudio
if: false # Temporarily disabled - requires Copilot Studio setup
runs-on: ubuntu-latest
environment: integration
env:
COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }}
COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }}
COPILOTSTUDIOAGENT__TENANTID: ${{ secrets.COPILOTSTUDIOAGENT__TENANTID }}
COPILOTSTUDIOAGENT__AGENTAPPID: ${{ secrets.COPILOTSTUDIOAGENT__AGENTAPPID }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "COPILOTSTUDIOAGENT__ENVIRONMENTID=$COPILOTSTUDIOAGENT__ENVIRONMENTID" >> .env
echo "COPILOTSTUDIOAGENT__SCHEMANAME=$COPILOTSTUDIOAGENT__SCHEMANAME" >> .env
echo "COPILOTSTUDIOAGENT__TENANTID=$COPILOTSTUDIOAGENT__TENANTID" >> .env
echo "COPILOTSTUDIOAGENT__AGENTAPPID=$COPILOTSTUDIOAGENT__AGENTAPPID" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/copilotstudio --save-report --report-name 02-agents-copilotstudio
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-copilotstudio
path: python/samples/sample_validation/reports/
validate-02-agents-custom:
name: Validate 02-agents/providers/custom
runs-on: ubuntu-latest
environment: integration
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 02-agents/providers/custom --save-report --report-name 02-agents-custom
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-02-agents-custom
path: python/samples/sample_validation/reports/
validate-03-workflows:
name: Validate 03-workflows
runs-on: ubuntu-latest
environment: integration
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 03-workflows --save-report --report-name 03-workflows
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-03-workflows
path: python/samples/sample_validation/reports/
validate-04-hosting:
name: Validate 04-hosting
if: false # Temporarily disabled because of sample complexity
runs-on: ubuntu-latest
environment: integration
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# A2A configuration
A2A_AGENT_HOST: http://localhost:5001/
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 04-hosting --save-report --report-name 04-hosting
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-04-hosting
path: python/samples/sample_validation/reports/
validate-05-end-to-end:
name: Validate 05-end-to-end
if: false # Temporarily disabled because of sample complexity
runs-on: ubuntu-latest
environment: integration
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure AI Search (for evaluation samples)
AZURE_SEARCH_ENDPOINT: ${{ secrets.AZURE_SEARCH_ENDPOINT }}
AZURE_SEARCH_API_KEY: ${{ secrets.AZURE_SEARCH_API_KEY }}
AZURE_SEARCH_INDEX_NAME: ${{ secrets.AZURE_SEARCH_INDEX_NAME }}
# Evaluation sample
FOUNDRY_MODEL_WORKFLOW: ${{ vars.FOUNDRY_MODEL_WORKFLOW || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
FOUNDRY_MODEL_EVAL: ${{ vars.FOUNDRY_MODEL_EVAL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir 05-end-to-end --save-report --report-name 05-end-to-end
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-05-end-to-end
path: python/samples/sample_validation/reports/
validate-autogen-migration:
name: Validate autogen-migration
runs-on: ubuntu-latest
environment: integration
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# OpenAI configuration
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
echo "AZURE_OPENAI_MODEL=$AZURE_OPENAI_MODEL" >> .env
echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir autogen-migration --save-report --report-name autogen-migration
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-autogen-migration
path: python/samples/sample_validation/reports/
validate-semantic-kernel-migration:
name: Validate semantic-kernel-migration
runs-on: ubuntu-latest
environment: integration
env:
FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration for AF
AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
# Azure OpenAI configuration for SK
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
# OpenAI key
OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
OPENAI_CHAT_COMPLETION_MODEL: ${{ vars.OPENAI__CHATMODELID }}
OPENAI_CHAT_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
# OpenAI configuration for SK
OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
# Copilot Studio
COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }}
COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }}
COPILOTSTUDIOAGENT__TENANTID: ${{ secrets.COPILOTSTUDIOAGENT__TENANTID }}
COPILOTSTUDIOAGENT__AGENTAPPID: ${{ secrets.COPILOTSTUDIOAGENT__AGENTAPPID }}
defaults:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Setup environment
uses: ./.github/actions/sample-validation-setup
with:
azure-client-id: ${{ secrets.AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
os: ${{ runner.os }}
- name: Create .env for samples
run: |
echo "FOUNDRY_PROJECT_ENDPOINT=$FOUNDRY_PROJECT_ENDPOINT" >> .env
echo "FOUNDRY_MODEL=$FOUNDRY_MODEL" >> .env
echo "AZURE_OPENAI_ENDPOINT=$AZURE_OPENAI_ENDPOINT" >> .env
echo "AZURE_OPENAI_MODEL=$AZURE_OPENAI_MODEL" >> .env
echo "OPENAI_API_KEY=$OPENAI_API_KEY" >> .env
echo "OPENAI_CHAT_COMPLETION_MODEL=$OPENAI_CHAT_COMPLETION_MODEL" >> .env
echo "OPENAI_CHAT_MODEL=$OPENAI_CHAT_MODEL" >> .env
echo "COPILOTSTUDIOAGENT__ENVIRONMENTID=$COPILOTSTUDIOAGENT__ENVIRONMENTID" >> .env
echo "COPILOTSTUDIOAGENT__SCHEMANAME=$COPILOTSTUDIOAGENT__SCHEMANAME" >> .env
echo "COPILOTSTUDIOAGENT__TENANTID=$COPILOTSTUDIOAGENT__TENANTID" >> .env
echo "COPILOTSTUDIOAGENT__AGENTAPPID=$COPILOTSTUDIOAGENT__AGENTAPPID" >> .env
- name: Run sample validation
run: |
cd scripts && uv run python -m sample_validation --subdir semantic-kernel-migration --save-report --report-name semantic-kernel-migration
- name: Upload validation report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-report-semantic-kernel-migration
path: python/samples/sample_validation/reports/
aggregate-results:
name: Aggregate Results
runs-on: ubuntu-latest
if: always()
needs:
- validate-01-get-started
- validate-02-agents
- validate-02-agents-openai
- validate-02-agents-azure
- validate-02-agents-anthropic
- validate-02-agents-github-copilot
- validate-02-agents-amazon
- validate-02-agents-ollama
- validate-02-agents-foundry
- validate-02-agents-copilotstudio
- validate-02-agents-custom
- validate-03-workflows
- validate-04-hosting
- validate-05-end-to-end
- validate-autogen-migration
- validate-semantic-kernel-migration
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Download all validation reports
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
pattern: validation-report-*
path: reports/
merge-multiple: true
- name: Restore validation history
id: cache-restore
uses: actions/cache/restore@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: validation-history/
key: validation-history-${{ github.run_id }}
restore-keys: |
validation-history-
- name: Aggregate results and generate trend report
run: |
python3 python/scripts/sample_validation/aggregate.py \
reports/ \
validation-history/history.json \
trend-report.md
- name: Write trend report to job summary
run: cat trend-report.md >> "$GITHUB_STEP_SUMMARY"
- name: Save validation history
uses: actions/cache/save@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
with:
path: validation-history/
key: validation-history-${{ github.run_id }}
- name: Upload trend report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
if: always()
with:
name: validation-trend-report
path: trend-report.md
@@ -8,7 +8,6 @@ on:
permissions:
contents: read
actions: read
pull-requests: write
jobs:
@@ -20,46 +19,36 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Download coverage report
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
uses: actions/download-artifact@v7
with:
github-token: ${{ github.token }}
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
run-id: ${{ github.event.workflow_run.id }}
path: ./python
merge-multiple: true
- name: Display structure of downloaded files
run: ls
- name: Read and validate PR number
# Keep the artifact handoff aligned with the workflow run that produced it.
env:
GH_TOKEN: ${{ github.token }}
REPO: ${{ github.repository }}
RUN_HEAD_SHA: ${{ github.event.workflow_run.head_sha }}
- name: Read and set PR number
# Need to read the PR number from the file saved in the previous workflow
# because the workflow_run event does not have access to the PR number
# The PR number is needed to post the comment on the PR
run: |
if [ ! -s pr_number ]; then
echo "PR number file 'pr_number' is missing or empty"
exit 1
fi
ARTIFACT_PR_NUMBER=$(cat pr_number)
if ! [[ "$ARTIFACT_PR_NUMBER" =~ ^[0-9]+$ ]]; then
echo "::error::PR number file contains invalid content"
PR_NUMBER=$(head -1 pr_number | tr -dc '0-9')
if [ -z "$PR_NUMBER" ]; then
echo "PR number file 'pr_number' does not contain a valid PR number"
exit 1
fi
PR_HEAD_SHA=$(gh pr view "$ARTIFACT_PR_NUMBER" --repo "$REPO" --json headRefOid --jq '.headRefOid')
if [ "$PR_HEAD_SHA" != "$RUN_HEAD_SHA" ]; then
echo "::error::PR head SHA does not match the triggering workflow run"
exit 1
fi
echo "PR_NUMBER=$ARTIFACT_PR_NUMBER" >> "$GITHUB_ENV"
echo "PR_NUMBER=$PR_NUMBER" >> "$GITHUB_ENV"
- name: Pytest coverage comment
id: coverageComment
uses: MishaKav/pytest-coverage-comment@dd5b80bde6d16941f336518e92929e89069d8451 # v1.7.2
uses: MishaKav/pytest-coverage-comment@v1.2.0
with:
github-token: ${{ github.token }}
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
issue-number: ${{ env.PR_NUMBER }}
pytest-xml-coverage-path: python/python-coverage.xml
title: "Python Test Coverage Report"
+6 -13
View File
@@ -6,14 +6,9 @@ on:
paths:
- "python/packages/**"
- "python/tests/unit/**"
- "python/scripts/workspace_poe_tasks.py"
- ".github/scripts/python_check_coverage.py"
- ".github/workflows/python-test-coverage.yml"
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
# Coverage threshold percentage for enforced modules
COVERAGE_THRESHOLD: 85
jobs:
python-tests-coverage:
@@ -23,9 +18,9 @@ jobs:
run:
working-directory: python
env:
UV_PYTHON: "3.11"
UV_PYTHON: "3.10"
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
# Save the PR number to a file since the workflow_run event
# in the coverage report workflow does not have access to it
- name: Save PR number
@@ -35,17 +30,15 @@ jobs:
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ env.UV_PYTHON }}
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
- name: Run aggregate tests with coverage report
run: uv run poe test -A -C --cov-report=xml:python-coverage.xml -q --junitxml=pytest.xml
- name: Check coverage threshold
run: python ${{ github.workspace }}/.github/scripts/python_check_coverage.py python-coverage.xml ${{ env.COVERAGE_THRESHOLD }}
- name: Run all tests with coverage report
run: uv run poe all-tests-cov --cov-report=xml:python-coverage.xml -q --junitxml=pytest.xml
- name: Upload coverage report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@v6
with:
path: |
python/python-coverage.xml
+4 -9
View File
@@ -5,10 +5,6 @@ on:
branches: ["main", "feature*"]
paths:
- "python/**"
- "!python/AGENTS.md"
- "!python/**/AGENTS.md"
- "!python/.github/skills/*"
- "!python/.github/skills/**"
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
@@ -31,28 +27,27 @@ jobs:
run:
working-directory: python
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- uses: actions/checkout@v6
- name: Set up python and install the project
id: python-setup
uses: ./.github/actions/python-setup
with:
python-version: ${{ matrix.python-version }}
os: ${{ runner.os }}
exclude-packages: ${{ matrix.python-version == '3.10' && 'agent-framework-github-copilot agent-framework-azure-cosmos-memory' || '' }}
env:
# Configure a constant location for the uv cache
UV_CACHE_DIR: /tmp/.uv-cache
# Unit tests
- name: Run all tests
run: uv run poe test -A --junitxml=pytest.xml
run: uv run poe all-tests
working-directory: ./python
# Surface failing tests
- name: Surface failing tests
if: always()
uses: pmeier/pytest-results-action@20b595761ba9bf89e115e875f8bc863f913bc8ad # v0.7.2
uses: pmeier/pytest-results-action@v0.7.2
with:
path: ./python/pytest.xml
path: ./python/**.xml
summary: true
display-options: fEX
fail-on-empty: false
-66
View File
@@ -1,66 +0,0 @@
name: Stale issue and PR ping
on:
schedule:
- cron: '0 0 * * *' # Midnight UTC daily
workflow_dispatch:
inputs:
days_threshold:
description: 'Days of silence before pinging the author'
required: false
default: '4'
dry_run:
description: 'Log what would be pinged without taking action'
required: false
default: 'false'
type: choice
options:
- 'false'
- 'true'
concurrency:
group: stale-issue-pr-ping
cancel-in-progress: true
jobs:
ping_stale:
name: "Ping stale issues and PRs"
runs-on: ubuntu-latest
environment: github-app-auth
permissions:
contents: read
id-token: write
issues: write
pull-requests: write
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Get GitHub automation token
id: github-auth
uses: ./.github/actions/github-app-token
with:
mode: ${{ vars.GH_APP_AUTH_MODE }}
azure-client-id: ${{ secrets.GH_APP_AZURE_CLIENT_ID }}
azure-tenant-id: ${{ secrets.GH_APP_AZURE_TENANT_ID }}
azure-subscription-id: ${{ secrets.GH_APP_AZURE_SUBSCRIPTION_ID }}
key-vault-name: ${{ secrets.GH_APP_KEY_VAULT_NAME }}
key-name: ${{ secrets.GH_APP_KEY_NAME }}
github-app-client-id: ${{ secrets.GH_APP_CLIENT_ID }}
github-app-installation-id: ${{ secrets.GH_APP_INSTALLATION_ID }}
repository: ${{ github.repository }}
fallback-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
- uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.13'
- name: Install dependencies
run: pip install PyGithub==2.6.0
- name: Run stale issue/PR ping
run: python .github/scripts/stale_issue_pr_ping.py
env:
GITHUB_TOKEN: ${{ steps.github-auth.outputs.token }}
TEAM_SLUG: ${{ secrets.DEVELOPER_TEAM }}
DAYS_THRESHOLD: ${{ github.event.inputs.days_threshold || '4' }}
DRY_RUN: ${{ github.event.inputs.dry_run || 'false' }}
+2 -24
View File
@@ -47,8 +47,6 @@ htmlcov/
.cache
nosetests.xml
coverage.xml
pytest.xml
python-coverage.xml
*.cover
*.py,cover
.hypothesis/
@@ -136,10 +134,6 @@ celerybeat.pid
.venv
env/
venv/
# Foundry agent CLI (contains secrets, auto-generated)
.foundry-agent.json
.foundry-agent-build.log
ENV/
env.bak/
venv.bak/
@@ -205,19 +199,14 @@ temp*/
.tmp/
.temp/
agents.md
# AI
**/.checkpoints/
.claude/
.omc/
.omx/
WARP.md
**/memory-bank/
**/projectBrief.md
**/tmpclaude*
.kiro/
# Dependency-bound validation reports
python/scripts/dependency-*-results.json
python/scripts/dependencies/dependency-*-results.json
# Azurite storage emulator files
*/__azurite_db_blob__.json*
@@ -240,14 +229,3 @@ local.settings.json
# Database files
*.db
python/dotnet-ref
# Generated filtered solution files (created by eng/scripts/New-FilteredSolution.ps1)
dotnet/filtered-*.slnx
**/*.lscache
# Local tool state
.omc/
.omx/
**/issues/
.test_*
+8 -47
View File
@@ -74,37 +74,6 @@ Contributions must maintain API signature and behavioral compatibility. Contribu
that include breaking changes will be rejected. Please file an issue to discuss
your idea or change if you believe that a breaking change is warranted.
#### Automated API Compatibility Validation
The .NET projects use [Package Validation](https://learn.microsoft.com/dotnet/fundamentals/package-validation/overview)
to automatically detect API breaking changes. This validation runs during `dotnet build`
(Release configuration) and `dotnet pack`, comparing the current API surface against the
latest published NuGet baseline version.
**What gets validated:** By default, packable RC packages (`IsReleaseCandidate=true`) and
GA packages (`IsGenerallyAvailable=true`) that have a published NuGet baseline and do not
override validation settings are automatically validated. The shared baseline version and
default validation settings are defined in `dotnet/nuget/nuget-package.props`, but
individual projects may opt out (for example by setting `EnablePackageValidation=false`).
**If the build fails with CP errors (e.g., CP0001, CP0002):**
1. **Unintentional breaking change** — Refactor your code to maintain backward compatibility.
2. **Intentional breaking change** (approved by maintainers) — Generate a suppression file:
```bash
dotnet build <project>.csproj -c Release /p:ApiCompatGenerateSuppressionFile=true
```
This creates or updates a `CompatibilitySuppressions.xml` in the project directory.
Include this file in your PR with justification for the breaking change.
**After each release:**
1. Delete all `CompatibilitySuppressions.xml` files from validated projects.
2. Update `PackageValidationBaselineVersion` in `dotnet/nuget/nuget-package.props` to the
newly published version.
For more details, see the [Package Validation diagnostic IDs](https://learn.microsoft.com/dotnet/fundamentals/package-validation/diagnostic-ids).
### Suggested Workflow
We use and recommend the following workflow:
@@ -123,30 +92,22 @@ We use and recommend the following workflow:
"issue-123" or "githubhandle-issue".
4. Make and commit your changes to your branch.
5. Add new tests corresponding to your change, if applicable.
6. Run the relevant scripts in [the section below](#development-setup) to ensure that your build is clean and all tests are passing.
6. Run the relevant scripts in [the section below](#development-scripts) to ensure that your build is clean and all tests are passing.
7. Create a PR against the repository's **main** branch.
- State in the description what issue or improvement your change is addressing.
- Verify that all the Continuous Integration checks are passing.
8. Wait for feedback or approval of your changes from the code maintainers.
9. When area owners have signed off, and all checks are green, your PR will be merged.
### Development Setup
### Development scripts
Each language has its own dev setup guide, coding standards, and build scripts:
The scripts below are used to build, test, and lint within the project.
- **Python**: [Dev Setup](./python/DEV_SETUP.md) · [Coding Standard](./python/CODING_STANDARD.md) · [README](./python/README.md)
- From the `./python` directory:
- Build: `uv run poe build`
- Unit tests: `uv run poe test -A -m "not integration"`
- Integration tests: `uv run poe test -A -m integration` (requires API keys/endpoints)
- Format + lint: `uv run poe syntax`
- All checks: `uv run poe check`
- **.NET**: [README](./dotnet/README.md) · [Agent Instructions](./dotnet/AGENTS.md)
- From the `./dotnet` directory:
- Build: `dotnet build`
- Unit tests: `dotnet test --filter-query "/*UnitTests*/*/*/*"`
- Integration tests: `dotnet test --filter-query "/*IntegrationTests*/*/*/*"` (requires API keys/endpoints)
- Linting (auto-fix): `dotnet format`
- Python: see [python/DEV_SETUP.md](./python/DEV_SETUP.md).
- .NET:
- Build: `dotnet build`
- Test: `dotnet test`
- Linting (auto-fix): `dotnet format`
### PR - CI Process
+90 -122
View File
@@ -2,16 +2,12 @@
# Welcome to Microsoft Agent Framework!
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/b5zjErwbQM?style=flat)](https://discord.gg/b5zjErwbQM)
[![Microsoft Azure AI Foundry Discord](https://dcbadge.limes.pink/api/server/b5zjErwbQM?style=flat)](https://discord.gg/b5zjErwbQM)
[![MS Learn Documentation](https://img.shields.io/badge/MS%20Learn-Documentation-blue)](https://learn.microsoft.com/en-us/agent-framework/)
[![PyPI](https://img.shields.io/pypi/v/agent-framework)](https://pypi.org/project/agent-framework/)
[![NuGet](https://img.shields.io/nuget/v/Microsoft.Agents.AI)](https://www.nuget.org/profiles/MicrosoftAgentFramework/)
[![GitHub stars](https://img.shields.io/github/stars/microsoft/agent-framework?style=social)](https://github.com/microsoft/agent-framework)
Microsoft Agent Framework (MAF) is an open, multi-language framework for building **production-grade AI agents and multi-agent workflows** in **.NET and Python**.
Microsoft Agent Framework is built for teams taking agents from prototype to production. It provides a consistent foundation for building, orchestrating, and operating agent systems across Python and .NET, while keeping architecture choices open as requirements evolve, and supports a broad ecosystem including Microsoft Foundry, Azure OpenAI, OpenAI, and the GitHub Copilot SDK, with samples and hosting patterns for both local development and cloud deployment.
Welcome to Microsoft's comprehensive multi-language framework for building, orchestrating, and deploying AI agents with support for both .NET and Python implementations. This framework provides everything from simple chat agents to complex multi-agent workflows with graph-based orchestration.
<p align="center">
<a href="https://www.youtube.com/watch?v=AAgdMhftj8w" title="Watch the full Agent Framework introduction (30 min)">
@@ -25,58 +21,14 @@ Microsoft Agent Framework is built for teams taking agents from prototype to pro
</a>
</p>
## Is this the right framework for you?
## 📋 Getting Started
MAF is a strong fit if you:
- are building agents and workflows you expect to run in production,
- need orchestration beyond a single prompt or stateless chat loop,
- want graph-based patterns such as sequential, concurrent, handoff, and group collaboration,
- care about durability, restartability, observability, governance, or human-in-the-loop control,
- need provider flexibility so your architecture can evolve without major rewrites.
### 📦 Installation
## Key Features
Explore new MAF capabilities and real implementation patterns on the [official blog](https://devblogs.microsoft.com/agent-framework/).
- **Python and C#/.NET Support**: Full framework support for both Python and C#/.NET implementations with consistent APIs
- [Python packages](./python/packages/) | [.NET source](./dotnet/src/)
- **Multiple Agent Provider Support**: Support for various LLM providers with more being added continuously
- [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/02-agents/AgentProviders/)
- **Middleware**: Flexible middleware system for request/response processing, exception handling, and custom pipelines
- [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/)
- **Orchestration Patterns & Workflows**: Build multi-agent systems with graph-based workflows supporting sequential, concurrent, handoff, and group collaboration patterns; includes checkpointing, streaming, human-in-the-loop, and time-travel
- [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/03-workflows/)
- **Foundry Hosted Agents (new)**: Deploy and host your agents to Foundry-hosted infrastructure with just 2 additional lines of code
- [Python samples](./python/samples/04-hosting/foundry-hosted-agents/) | [.NET samples](./dotnet/samples/04-hosting/FoundryHostedAgents/)
- **Observability**: Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
- [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/02-agents/AgentOpenTelemetry/)
- **Declarative Agents**: Define agents using YAML for faster setup and versioning
- [Declarative agent samples](./declarative-agents/)
- **Agent Skills**: Build domain-specific knowledge bases from multiple sources—files, inline code, class libraries—for agents to discover and use
- [Skills design](./docs/decisions/0021-agent-skills-design.md)
- **AF Labs**: Experimental packages for cutting-edge features including benchmarking, reinforcement learning, and research initiatives
- [Labs directory](./python/packages/lab/)
- **DevUI**: Interactive developer UI for agent development, testing, and debugging workflows
- [See the DevUI in action](https://www.youtube.com/watch?v=mOAaGY4WPvc)
## Table of Contents
- [Getting Started](#getting-started)
- [Installation](#installation)
- [Learning Resources](#learning-resources)
- [Quickstart](#quickstart)
- [Basic Agent - Python](#basic-agent---python)
- [Basic Agent - .NET](#basic-agent---net)
- [More Examples & Samples](#more-examples--samples)
- [Community & Feedback](#community--feedback)
- [Troubleshooting](#troubleshooting)
- [Contributor Resources](#contributor-resources)
## Getting Started
### Installation
Python
```bash
pip install agent-framework
pip install agent-framework --pre
# This will install all sub-packages, see `python/packages` for individual packages.
# It may take a minute on first install on Windows.
```
@@ -85,13 +37,9 @@ pip install agent-framework
```bash
dotnet add package Microsoft.Agents.AI
# For Foundry integration (used in the .NET quickstart below):
dotnet add package Microsoft.Agents.AI.Foundry
dotnet add package Azure.AI.Projects
dotnet add package Azure.Identity
```
### Learning Resources
### 📚 Documentation
- **[Overview](https://learn.microsoft.com/agent-framework/overview/agent-framework-overview)** - High level overview of the framework
- **[Quick Start](https://learn.microsoft.com/agent-framework/tutorials/quick-start)** - Get started with a simple agent
@@ -100,34 +48,69 @@ dotnet add package Azure.Identity
- **[Migration from Semantic Kernel](https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-semantic-kernel)** - Guide to migrate from Semantic Kernel
- **[Migration from AutoGen](https://learn.microsoft.com/en-us/agent-framework/migration-guide/from-autogen)** - Guide to migrate from AutoGen
### Quickstart
Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-community-office-hours) or ask questions in our [Discord channel](https://discord.gg/b5zjErwbQM) to get help from the team and other users.
#### Basic Agent - Python
### ✨ **Highlights**
- **Graph-based Workflows**: Connect agents and deterministic functions using data flows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities
- [Python workflows](./python/samples/getting_started/workflows/) | [.NET workflows](./dotnet/samples/GettingStarted/Workflows/)
- **AF Labs**: Experimental packages for cutting-edge features including benchmarking, reinforcement learning, and research initiatives
- [Labs directory](./python/packages/lab/)
- **DevUI**: Interactive developer UI for agent development, testing, and debugging workflows
- [DevUI package](./python/packages/devui/)
<p align="center">
<a href="https://www.youtube.com/watch?v=mOAaGY4WPvc">
<img src="https://img.youtube.com/vi/mOAaGY4WPvc/hqdefault.jpg" alt="See the DevUI in action" width="480">
</a>
</p>
<p align="center">
<a href="https://www.youtube.com/watch?v=mOAaGY4WPvc">
See the DevUI in action (1 min)
</a>
</p>
- **Python and C#/.NET Support**: Full framework support for both Python and C#/.NET implementations with consistent APIs
- [Python packages](./python/packages/) | [.NET source](./dotnet/src/)
- **Observability**: Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
- [Python observability](./python/samples/getting_started/observability/) | [.NET telemetry](./dotnet/samples/GettingStarted/AgentOpenTelemetry/)
- **Multiple Agent Provider Support**: Support for various LLM providers with more being added continuously
- [Python examples](./python/samples/getting_started/agents/) | [.NET examples](./dotnet/samples/GettingStarted/AgentProviders/)
- **Middleware**: Flexible middleware system for request/response processing, exception handling, and custom pipelines
- [Python middleware](./python/samples/getting_started/middleware/) | [.NET middleware](./dotnet/samples/GettingStarted/Agents/Agent_Step14_Middleware/)
### 💬 **We want your feedback!**
- For bugs, please file a [GitHub issue](https://github.com/microsoft/agent-framework/issues).
## Quickstart
### Basic Agent - Python
Create a simple Azure Responses Agent that writes a haiku about the Microsoft Agent Framework
```python
# pip install agent-framework
# pip install agent-framework --pre
# Use `az login` to authenticate with Azure CLI
import os
import asyncio
from agent_framework import Agent
from agent_framework.foundry import FoundryChatClient
from agent_framework.azure import AzureOpenAIResponsesClient
from azure.identity import AzureCliCredential
async def main():
# Initialize a chat agent with Microsoft Foundry
# Initialize a chat agent with Azure OpenAI Responses
# the endpoint, deployment name, and api version can be set via environment variables
# or they can be passed in directly to the FoundryChatClient constructor
agent = Agent(
client=FoundryChatClient(
credential=AzureCliCredential(),
# project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
# model=os.environ["FOUNDRY_MODEL_DEPLOYMENT_NAME"],
),
name="HaikuAgent",
instructions="You are an upbeat assistant that writes beautifully.",
# or they can be passed in directly to the AzureOpenAIResponsesClient constructor
agent = AzureOpenAIResponsesClient(
# endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
# deployment_name=os.environ["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"],
# api_version=os.environ["AZURE_OPENAI_API_VERSION"],
# api_key=os.environ["AZURE_OPENAI_API_KEY"], # Optional if using AzureCliCredential
credential=AzureCliCredential(), # Optional, if using api_key
).create_agent(
name="HaikuBot",
instructions="You are an upbeat assistant that writes beautifully.",
)
print(await agent.run("Write a haiku about Microsoft Agent Framework."))
@@ -136,24 +119,39 @@ if __name__ == "__main__":
asyncio.run(main())
```
#### Basic Agent - .NET
Create a simple Agent, using Microsoft Foundry that writes a haiku about the Microsoft Agent Framework
### Basic Agent - .NET
Create a simple Agent, using OpenAI Responses, that writes a haiku about the Microsoft Agent Framework
```c#
// This sample shows how to create and run a basic agent with AIProjectClient.AsAIAgent(...).
// dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
using System;
using OpenAI;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
// Replace the <apikey> with your OpenAI API key.
var agent = new OpenAIClient("<apikey>")
.GetOpenAIResponseClient("gpt-4o-mini")
.CreateAIAgent(name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
```
AIAgent agent =
new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
.AsAIAgent(model: deploymentName, instructions: "You are an upbeat assistant that writes beautifully.", name: "HaikuAgent");
Create a simple Agent, using Azure OpenAI Responses with token based auth, that writes a haiku about the Microsoft Agent Framework
```c#
// dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
// dotnet add package Azure.Identity
// Use `az login` to authenticate with Azure CLI
using System;
using OpenAI;
// Replace <resource> and gpt-4o-mini with your Azure OpenAI resource name and deployment name.
var agent = new OpenAIClient(
new BearerTokenPolicy(new AzureCliCredential(), "https://ai.azure.com/.default"),
new OpenAIClientOptions() { Endpoint = new Uri("https://<resource>.openai.azure.com/openai/v1") })
.GetOpenAIResponseClient("gpt-4o-mini")
.CreateAIAgent(name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
// Once you have the agent, you can invoke it like any other AIAgent.
Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
```
@@ -161,40 +159,15 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
### Python
- [Getting Started](./python/samples/01-get-started): progressive tutorial from hello-world to hosting
- [Agent Concepts](./python/samples/02-agents): deep-dive samples by topic (tools, middleware, providers, etc.)
- [Workflows](./python/samples/03-workflows): workflow creation and integration with agents
- [Hosting](./python/samples/04-hosting): A2A, Azure Functions, Durable Task hosting
- [End-to-End](./python/samples/05-end-to-end): full applications, evaluation, and demos
- [Getting Started with Agents](./python/samples/getting_started/agents): basic agent creation and tool usage
- [Chat Client Examples](./python/samples/getting_started/chat_client): direct chat client usage patterns
- [Getting Started with Workflows](./python/samples/getting_started/workflows): basic workflow creation and integration with agents
### .NET
- [Getting Started](./dotnet/samples/01-get-started): progressive tutorial from hello agent to hosting
- [Agent Concepts](./dotnet/samples/02-agents/Agents): basic agent creation and tool usage
- [Agent Providers](./dotnet/samples/02-agents/AgentProviders): samples showing different agent providers
- [Workflows](./dotnet/samples/03-workflows): advanced multi-agent patterns and workflow orchestration
- [Hosting](./dotnet/samples/04-hosting): A2A, Durable Agents, Durable Workflows
- [End-to-End](./dotnet/samples/05-end-to-end): full applications and demos
## Community & Feedback
- **Found a bug?** File a [GitHub issue](https://github.com/microsoft/agent-framework/issues) to help us improve.
- **Enjoying MAF?** [![GitHub stars](https://img.shields.io/badge/Star-us%20on%20GitHub-yellow)](https://github.com/microsoft/agent-framework) to show your support and help others discover the project.
- **Have questions?** Join our [Discord](https://discord.gg/b5zjErwbQM) or visit [weekly office hours](./COMMUNITY.md#public-community-office-hours).
## Troubleshooting
### Authentication
| Problem | Cause | Fix |
|---------|-------|-----|
| Authentication errors when using Azure credentials | Not signed in to Azure CLI | Run `az login` before starting your app |
| API key errors | Wrong or missing API key | Verify the key and ensure it's for the correct resource/provider |
> **Tip:** `DefaultAzureCredential` is convenient for development but in production, consider using a specific credential (e.g., `ManagedIdentityCredential`) to avoid latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
### Environment Variables
For environment variable configuration specific to each sample, refer to the README in the sample directory ([Python samples](./python/samples/) | [.NET samples](./dotnet/samples/)).
- [Getting Started with Agents](./dotnet/samples/GettingStarted/Agents): basic agent creation and tool usage
- [Agent Provider Samples](./dotnet/samples/GettingStarted/AgentProviders): samples showing different agent providers
- [Workflow Samples](./dotnet/samples/GettingStarted/Workflows): advanced multi-agent patterns and workflow orchestration
## Contributor Resources
@@ -205,9 +178,4 @@ For environment variable configuration specific to each sample, refer to the REA
## Important Notes
> [!IMPORTANT]
> If you use Microsoft Agent Framework to build applications that operate with any third-party servers, agents, code, or non-Azure Direct models (“Third-Party Systems”), you do so at your own risk. Third-Party Systems are Non-Microsoft Products under the Microsoft Product Terms and are governed by their own third-party license terms. You are responsible for any usage and associated costs.
>
>We recommend reviewing all data being shared with and received from Third-Party Systems and being cognizant of third-party practices for handling, sharing, retention and location of data. It is your responsibility to manage whether your data will flow outside of your organizations Azure compliance and geographic boundaries and any related implications, and that appropriate permissions, boundaries and approvals are provisioned.
>
>You are responsible for carefully reviewing and testing applications you build using Microsoft Agent Framework in the context of your specific use cases, and making all appropriate decisions and customizations. This includes implementing your own responsible AI mitigations such as metaprompt, content filters, or other safety systems, and ensuring your applications meet appropriate quality, reliability, security, and trustworthiness standards. See also: [Transparency FAQ](./TRANSPARENCY_FAQ.md)
If you use the Microsoft Agent Framework to build applications that operate with third-party servers or agents, you do so at your own risk. We recommend reviewing all data being shared with third-party servers or agents and being cognizant of third-party practices for retention and location of data. It is your responsibility to manage whether your data will flow outside of your organization's Azure compliance and geographic boundaries and any related implications.
+17 -17
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@@ -1,17 +1,17 @@
# Support
## How to file issues and get help
This project uses GitHub Issues to track bugs and feature requests. Please search the existing
issues before filing new issues to avoid duplicates. For new issues, file your bug or
feature request as a new Issue.
For help and questions about using this project, please create a GitHub issue.
AI Support team will support Microsoft Agent Framework issues for customers under a **Unified support agreement when the issue arises from usage of Azure AI services** (Foundry Models, Foundry Agents etc.) in conjunction with the SDK. Conversely, if customer has any other / non unified support agreement and/or Agent Framework SDK is used in a way **not involving an Azure service**, it is treated as a purely open-source tool Microsofts support organization will not handle it, and users should use GitHub or forums for assistance
For Copilot Studio SDK implementation issues, customers should use GitHub Issues for assistance, as outlined above. Conversely, for prerequisites managed within the Copilot Studio portal, customers can rely on the standard Microsoft Copilot Studio support channels.
## Microsoft Support Policy
Support for this **PROJECT or PRODUCT** is limited to the resources listed above.
# Support
## How to file issues and get help
This project uses GitHub Issues to track bugs and feature requests. Please search the existing
issues before filing new issues to avoid duplicates. For new issues, file your bug or
feature request as a new Issue.
For help and questions about using this project, please create a GitHub issue.
AI Support team will support Microsoft Agent Framework issues for customers under a **Unified support agreement when the issue arises from usage of Azure AI services** (Foundry Models, Foundry Agents etc.) in conjunction with the SDK. Conversely, if customer has any other / non unified support agreement and/or Agent Framework SDK is used in a way **not involving an Azure service**, it is treated as a purely open-source tool Microsofts support organization will not handle it, and users should use GitHub or forums for assistance
For Copilot Studio SDK implementation issues, customers should use GitHub Issues for assistance, as outlined above. Conversely, for prerequisites managed within the Copilot Studio portal, customers can rely on the standard Microsoft Copilot Studio support channels.
## Microsoft Support Policy
Support for this **PROJECT or PRODUCT** is limited to the resources listed above.
+2 -2
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@@ -2,7 +2,7 @@
**What is Microsoft Agent Framework?**
Microsoft Agent Framework is a comprehensive multi-language (C#/.NET and Python) framework for building, orchestrating, and deploying AI agents and multi-agent workflows. The system takes user instructions and conversation inputs and produces intelligent responses through AI agents that can integrate with various LLM providers (OpenAI, Azure OpenAI, Microsoft Foundry). It provides both simple chat agents and complex multi-agent workflows with graph-based orchestration.
Microsoft Agent Framework is a comprehensive multi-language (C#/.NET and Python) framework for building, orchestrating, and deploying AI agents and multi-agent workflows. The system takes user instructions and conversation inputs and produces intelligent responses through AI agents that can integrate with various LLM providers (OpenAI, Azure OpenAI, Azure AI Foundry). It provides both simple chat agents and complex multi-agent workflows with graph-based orchestration.
**What can Microsoft Agent Framework do?**
@@ -12,7 +12,7 @@ The framework offers:
- **Multi-Agent Orchestration**: Group chat, sequential, concurrent, and handoff patterns
- **Graph-based Workflows**: Connect agents and deterministic functions using data flows with streaming, checkpointing, time-travel, and Human-in-the-loop
- **Extensibility Framework**: Extend with native functions, A2A, Model Context Protocol (MCP)
- **LLM Integration**: Support for OpenAI, Azure OpenAI, Microsoft Foundry, and other providers
- **LLM Integration**: Support for OpenAI, Azure OpenAI, Azure AI Foundry, and other providers
- **Runtime Support**: Both in-process and distributed agent execution
**What is/are Microsoft Agent Framework's intended use(s)?**
+3
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@@ -0,0 +1,3 @@
# Declarative Agents
This folder contains sample agent definitions that can be run using the declarative agent support, for python see the [declarative agent python sample folder](../python/samples/getting_started/declarative/).
@@ -3,13 +3,13 @@ name: MicrosoftLearnAgent
description: Microsoft Learn Agent
instructions: You answer questions by searching the Microsoft Learn content only.
model:
id: =Env.FOUNDRY_MODEL
id: =Env.AZURE_FOUNDRY_PROJECT_MODEL_ID
options:
temperature: 0.9
topP: 0.95
connection:
kind: remote
endpoint: =Env.FOUNDRY_PROJECT_ENDPOINT
endpoint: =Env.AZURE_FOUNDRY_PROJECT_ENDPOINT
tools:
- kind: mcp
name: microsoft_learn
@@ -11,7 +11,7 @@ model:
topP: 0.95
connection:
kind: key
apiKey: =Env.OPENAI_API_KEY
apiKey: =Env.OPENAI_APIKEY
outputSchema:
properties:
language:
@@ -1,3 +0,0 @@
# Declarative Agents
This folder contains sample agent definitions that can be run using the declarative agent support, for python see the [declarative agent python sample folder](../../python/samples/02-agents/declarative/).
@@ -1,17 +0,0 @@
# Declarative Workflows
A _Declarative Workflow_ is defined as a single YAML file and
may be executed locally no different from any regular `Workflow` that is defined by code.
The difference is that the workflow definition is loaded from a YAML file instead of being defined in code:
```c#
Workflow workflow = DeclarativeWorkflowBuilder.Build("Marketing.yaml", options);
```
These example workflows may be executed by the workflow
[Samples](../../dotnet/samples/03-workflows/Declarative)
that are present in this repository.
> See the [README.md](../../dotnet/samples/03-workflows/Declarative/README.md)
associated with the samples for configuration details.
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# These are optional elements. Feel free to remove any of them.
status: accepted
contact: westey-m
date: 2025-07-10
date: 2025-07-10 {YYYY-MM-DD when the decision was last updated}
deciders: sergeymenshykh, markwallace, rbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub
consulted:
informed:
consulted:
informed:
---
# Agent Run Responses Design
@@ -64,7 +64,7 @@ Approaches observed from the compared SDKs:
| AutoGen | **Approach 1** Separates messages into Agent-Agent (maps to Primary) and Internal (maps to Secondary) and these are returned as separate properties on the agent response object. See [types of messages](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/messages.html#types-of-messages) and [Response](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.Response) | **Approach 2** Returns a stream of internal events and the last item is a Response object. See [ChatAgent.on_messages_stream](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.ChatAgent.on_messages_stream) |
| OpenAI Agent SDK | **Approach 1** Separates new_items (Primary+Secondary) from final output (Primary) as separate properties on the [RunResult](https://github.com/openai/openai-agents-python/blob/main/src/agents/result.py#L39) | **Approach 1** Similar to non-streaming, has a way of streaming updates via a method on the response object which includes all data, and then a separate final output property on the response object which is populated only when the run is complete. See [RunResultStreaming](https://github.com/openai/openai-agents-python/blob/main/src/agents/result.py#L136) |
| Google ADK | **Approach 2** [Emits events](https://google.github.io/adk-docs/runtime/#step-by-step-breakdown) with [FinalResponse](https://github.com/google/adk-java/blob/main/core/src/main/java/com/google/adk/events/Event.java#L232) true (Primary) / false (Secondary) and callers have to filter out those with false to get just the final response message | **Approach 2** Similar to non-streaming except [events](https://google.github.io/adk-docs/runtime/#streaming-vs-non-streaming-output-partialtrue) are emitted with [Partial](https://github.com/google/adk-java/blob/main/core/src/main/java/com/google/adk/events/Event.java#L133) true to indicate that they are streaming messages. A final non partial event is also emitted. |
| AWS (Strands) | **Approach 3** Returns an [AgentResult](https://strandsagents.com/docs/api/python/strands.agent.agent_result/) (Primary) with messages and a reason for the run's completion. | **Approach 2** [Streams events](https://strandsagents.com/docs/api/python/strands.agent.agent/) (Primary+Secondary) including, response text, current_tool_use, even data from "callbacks" (strands plugins) |
| AWS (Strands) | **Approach 3** Returns an [AgentResult](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent_result/) (Primary) with messages and a reason for the run's completion. | **Approach 2** [Streams events](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent/#strands.agent.agent.Agent.stream_async) (Primary+Secondary) including, response text, current_tool_use, even data from "callbacks" (strands plugins) |
| LangGraph | **Approach 2** A mixed list of all [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) | **Approach 2** A mixed list of all [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) |
| Agno | **Combination of various approaches** Returns a [RunResponse](https://docs.agno.com/reference/agents/run-response) object with text content, messages (essentially chat history including inputs and instructions), reasoning and thinking text properties. Secondary events could potentially be extracted from messages. | **Approach 2** Returns [RunResponseEvent](https://docs.agno.com/reference/agents/run-response#runresponseevent-types-and-attributes) objects including tool call, memory update, etc, information, where the [RunResponseCompletedEvent](https://docs.agno.com/reference/agents/run-response#runresponsecompletedevent) has similar properties to RunResponse|
| A2A | **Approach 3** Returns a [Task or Message](https://a2aproject.github.io/A2A/latest/specification/#71-messagesend) where the message is the final result (Primary) and task is a reference to a long running process. | **Approach 2** Returns a [stream](https://a2aproject.github.io/A2A/latest/specification/#72-messagestream) that contains task updates (Secondary) and a final message (Primary) |
@@ -139,7 +139,7 @@ Therefore something like `AgentResponse.Text` which also aggregates all `TextCon
#### Option 1.2 Presence of Secondary Content is determined by a runtime parameter
We can allow callers to choose whether to include secondary content in the list of response messages.
We can allow callers to choose whether to include secondary content in the list of reponse messages.
Open Question: Do we allow secondary content to use `TextContent` types?
```csharp
@@ -496,9 +496,9 @@ We need to decide what AIContent types, each agent response type will be mapped
|-|-|
| AutoGen | **Approach 1** Supports [configuring an agent](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/agents.html#structured-output) at agent creation. |
| Google ADK | **Approach 1** Both [input and output schemas can be specified for LLM Agents](https://google.github.io/adk-docs/agents/llm-agents/#structuring-data-input_schema-output_schema-output_key) at construction time. This option is specific to this agent type and other agent types do not necessarily support |
| AWS (Strands) | **Approach 2** Supports a special invocation method called [structured_output](https://strandsagents.com/docs/api/python/strands.agent.agent/) |
| AWS (Strands) | **Approach 2** Supports a special invocation method called [structured_output](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent/#strands.agent.agent.Agent.structured_output) |
| LangGraph | **Approach 1** Supports [configuring an agent](https://langchain-ai.github.io/langgraph/agents/agents/?h=structured#6-configure-structured-output) at agent construction time, and a [structured response](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) can be retrieved as a special property on the agent response |
| Agno | **Approach 1** Supports [configuring an agent](https://docs.agno.com/input-output/structured-output/agent) at agent construction time |
| Agno | **Approach 1** Supports [configuring an agent](https://docs.agno.com/examples/getting-started/structured-output) at agent construction time |
| A2A | **Informal Approach 2** Doesn't formally support schema negotiation, but [hints can be provided via metadata](https://a2a-protocol.org/latest/specification/#97-structured-data-exchange-requesting-and-providing-json) at invocation time |
| Protocol Activity | Supports returning [Complex types](https://github.com/microsoft/Agents/blob/main/specs/activity/protocol-activity.md#complex-types) but no support for requesting a type |
@@ -508,7 +508,7 @@ We need to decide what AIContent types, each agent response type will be mapped
|-|-|
| AutoGen | Supports a [stop reason](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.TaskResult.stop_reason) which is a freeform text string |
| Google ADK | [No equivalent present](https://github.com/google/adk-python/blob/main/src/google/adk/events/event.py) |
| AWS (Strands) | Exposes a [stop_reason](https://strandsagents.com/docs/api/python/strands.types.event_loop/) property on the [AgentResult](https://strandsagents.com/docs/api/python/strands.agent.agent_result/) class with options that are tied closely to LLM operations. |
| AWS (Strands) | Exposes a [stop_reason](https://strandsagents.com/latest/documentation/docs/api-reference/python/types/event_loop/#strands.types.event_loop.StopReason) property on the [AgentResult](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent_result/) class with options that are tied closely to LLM operations. |
| LangGraph | No equivalent present, output contains only [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) |
| Agno | [No equivalent present](https://docs.agno.com/reference/agents/run-response) |
| A2A | No equivalent present, response only contains a [message](https://a2a-protocol.org/latest/specification/#64-message-object) or [task](https://a2a-protocol.org/latest/specification/#61-task-object). |
+8 -8
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@@ -113,7 +113,7 @@ Implement a hybrid strategy where common tools use generic `AITool`-derived abst
### AI Agent Tool Types Availability
Tool Type | Microsoft Foundry Agent Service | OpenAI Assistant API | OpenAI ChatCompletion API | OpenAI Responses API | Amazon Bedrock Agents | Google | Anthropic | Description
Tool Type | Azure AI Foundry Agent Service | OpenAI Assistant API | OpenAI ChatCompletion API | OpenAI Responses API | Amazon Bedrock Agents | Google | Anthropic | Description
-- | -- | -- | -- | -- | -- | -- | -- | --
Function Calling | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Enables custom, stateless functions to define specific agent behaviors.
Code Interpreter | ✅ | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | Allows agents to execute code for tasks like data analysis or problem-solving.
@@ -132,7 +132,7 @@ Image Generation | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | Generates or edits
#### Function Calling
<details>
<summary>Microsoft Foundry Agent Service</summary>
<summary>Azure AI Foundry Agent Service</summary>
Source: <a href="https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/function-calling?pivots=rest">https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/function-calling?pivots=rest</a>
Message Request:
@@ -401,7 +401,7 @@ Image Generation | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | Generates or edits
#### Code Interpreter
<details>
<summary>Microsoft Foundry Agent Service</summary>
<summary>Azure AI Foundry Agent Service</summary>
<p>Source: <a href="https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/code-interpreter-samples?pivots=rest-api">https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/code-interpreter-samples?pivots=rest-api</a></p>
<p>.NET Support: ✅</p>
@@ -709,7 +709,7 @@ Image Generation | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | Generates or edits
#### Search and Retrieval
<details>
<summary>Microsoft Foundry Agent Service</summary>
<summary>Azure AI Foundry Agent Service</summary>
Source: <a href="https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/file-search-upload-files?pivots=rest">https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/file-search-upload-files?pivots=rest</a>
File Search Request:
@@ -1083,7 +1083,7 @@ Image Generation | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | Generates or edits
#### Web Search
<details>
<summary>Microsoft Foundry Agent Service</summary>
<summary>Azure AI Foundry Agent Service</summary>
Source: <a href="https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/bing-code-samples?pivots=rest">https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/bing-code-samples?pivots=rest</a>
Bing Search Message Request:
@@ -1630,7 +1630,7 @@ Image Generation | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | Generates or edits
#### OpenAPI Spec Tool
<details>
<summary>Microsoft Foundry Agent Service</summary>
<summary>Azure AI Foundry Agent Service</summary>
Source: <a href="https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/openapi-spec-samples?pivots=rest-api">https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/openapi-spec-samples?pivots=rest-api</a><br>
Source: <a href="https://learn.microsoft.com/en-us/rest/api/aifoundry/aiagents/run-steps/get-run-step?view=rest-aifoundry-aiagents-v1&tabs=HTTP#runstepopenapitoolcall">https://learn.microsoft.com/en-us/rest/api/aifoundry/aiagents/run-steps/get-run-step?view=rest-aifoundry-aiagents-v1&tabs=HTTP#runstepopenapitoolcall</a>
@@ -1712,7 +1712,7 @@ Image Generation | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | Generates or edits
#### Stateful Functions
<details>
<summary>Microsoft Foundry Agent Service</summary>
<summary>Azure AI Foundry Agent Service</summary>
Source: <a href="https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/azure-functions-samples?pivots=rest">https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/azure-functions-samples?pivots=rest</a>
Message Request:
@@ -1832,7 +1832,7 @@ Image Generation | ❌ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | Generates or edits
#### Microsoft Fabric
<details>
<summary>Microsoft Foundry Agent Service</summary>
<summary>Azure AI Foundry Agent Service</summary>
Source: <a href="https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/fabric?pivots=rest">https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/fabric?pivots=rest</a>
Message Request:
+2 -2
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@@ -2,7 +2,7 @@
# These are optional elements. Feel free to remove any of them.
status: accepted
contact: westey-m
date: 2025-09-12
date: 2025-09-12 {YYYY-MM-DD when the decision was last updated}
deciders: sergeymenshykh, markwallace-microsoft, rogerbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub, peterychang
consulted:
informed:
@@ -25,7 +25,7 @@ See various features that would need to be supported via this type of mechanism,
- Also see [the openai human-in-the-loop guide](https://openai.github.io/openai-agents-js/guides/human-in-the-loop/#approval-requests).
- Also see [the openai MCP guide](https://openai.github.io/openai-agents-js/guides/mcp/#optional-approval-flow).
- Also see [MCP Approval Requests from OpenAI](https://platform.openai.com/docs/guides/tools-remote-mcp#approvals).
- Also see [Microsoft Foundry MCP Approvals](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/model-context-protocol-samples?pivots=rest#submit-your-approval).
- Also see [Azure AI Foundry MCP Approvals](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/model-context-protocol-samples?pivots=rest#submit-your-approval).
- Also see [MCP Elicitation requests](https://modelcontextprotocol.io/specification/draft/client/elicitation)
## Decision Drivers
@@ -1125,7 +1125,7 @@ Naming (Python): N/A (Composable Components)
Supports: N
Observation: No explicit middleware/filters; modularity allows composable units but no dedicated interception hooks or callbacks for custom reading/modification mid-execution.
No specific code examples available for interception.
For more details, see the official documentation: [Atomic Agents Docs](https://brainblend-ai.github.io/atomic-agents/). No specific code examples available for interception.
#### Smolagents (Hugging Face)
@@ -57,7 +57,7 @@ This section describes different options for various aspects required to add lon
### 1. Methods for Working with Long-Running Operations
Based on the analysis of existing APIs that support long-running operations (such as OpenAI Responses, Microsoft Foundry Agents, and A2A),
Based on the analysis of existing APIs that support long-running operations (such as OpenAI Responses, Azure AI Foundry Agents, and A2A),
the following operations are used for working with long-running operations:
- Common operations:
- **Start Long-Running Execution**: Initiates a long-running operation and returns its Id.
@@ -757,7 +757,7 @@ Some of them natively support resuming streaming from a specific point in the st
| API | Can Resume Streaming | Model |
|-------------------------|--------------------------------------|------------------------------------------------------------------------------------------------------------|
| OpenAI Responses | Yes | StreamingResponseUpdate.**SequenceNumber** + GetResponseStreamingAsync(responseId, **startingAfter**, ct) |
| Microsoft Foundry Agents | Emulated<sup>2</sup> | RunStep.**Id** + custom pseudo code: client.Runs.GetRunStepsAsync(...).AllStepsAfter(**stepId**) |
| Azure AI Foundry Agents | Emulated<sup>2</sup> | RunStep.**Id** + custom pseudo code: client.Runs.GetRunStepsAsync(...).AllStepsAfter(**stepId**) |
| A2A | Implementation dependent<sup>1</sup> | |
<sup>1</sup> The [A2A specification](https://github.com/a2aproject/A2A/blob/main/docs/topics/streaming-and-async.md#1-streaming-with-server-sent-events-sse)
@@ -765,7 +765,7 @@ allows an A2A agent implementation to decide how to handle streaming resumption:
a task is still active (and the server hasn't sent a final: true event for that phase), the client can attempt to reconnect to the stream using the tasks/resubscribe RPC method.
The server's behavior regarding missed events during the disconnection period (e.g., whether it backfills or only sends new updates) is implementation-dependent._
<sup>2</sup> The Microsoft Foundry Agents API has an API to start a streaming run but does not have an API to resume streaming from a specific point in the stream.
<sup>2</sup> The Azure AI Foundry Agents API has an API to start a streaming run but does not have an API to resume streaming from a specific point in the stream.
However, it has non-streaming APIs to access already started runs, which can be used to emulate streaming resumption by accessing a run and its steps and streaming all the steps after a specific step.
#### Required Changes
@@ -828,7 +828,7 @@ Sequence of updates from OpenAI Responses API to answer the question "What time
| resp_2 | 10 | resp.output_item.done | - | InProgress | |
| resp_2 | 11 | resp.completed | Completed | Completed | |
Sequence of updates from Microsoft Foundry Agents API to answer the question "What time is it?" using a function call:
Sequence of updates from Azure AI Foundry Agents API to answer the question "What time is it?" using a function call:
| Id | SN | UpdateKind | Run.Status | Step.Status | Message.Status | ChatResponseUpdate.Status | Description |
|--------|---------|-------------------|----------------|-------------|-----------------|---------------------------|---------------------------------------------------|
| run_1 | - | RunCreated | Queued | - | - | Queued | |
@@ -852,7 +852,7 @@ Sequence of updates from Microsoft Foundry Agents API to answer the question "Wh
To support long-running operations, the following values need to be returned by the GetResponseAsync and GetStreamingResponseAsync methods:
- `ResponseId` - identifier of the long-running operation or an entity representing it, such as a task.
- `ConversationId` - identifier of the conversation or thread the long-running operation is part of. Some APIs, like Microsoft Foundry Agents, use
- `ConversationId` - identifier of the conversation or thread the long-running operation is part of. Some APIs, like Azure AI Foundry Agents, use
this identifier together with the ResponseId to identify a run.
- `SequenceNumber` - identifier of an update within a stream of updates. This is required to support streaming resumption by the GetStreamingResponseAsync method only.
- `Status` - status of the long-running operation: whether it is queued, running, failed, cancelled, completed, etc.
@@ -1089,7 +1089,7 @@ public class ChatOptions
##### 6.1.5 Continuation Token of a Custom Type
The option is similar to the "6.1.3 Continuation Token of System.ClientModel.ContinuationToken Type" option but suggests using a
The option is similar the the "6.1.3 Continuation Token of System.ClientModel.ContinuationToken Type" option but suggests using a
custom type for the continuation token instead of the `System.ClientModel.ContinuationToken` type.
**Pros**
@@ -1203,7 +1203,7 @@ response = await agent.CancelRunAsync(response.ResponseId, new AgentCancelRunOpt
In case an agent supports either or both cancellation and deletion of long-running operations, it will override the corresponding methods.
Otherwise, it won't override them, and the base implementations will return null by default.
Some agents, for example Microsoft Foundry Agents, require the thread identifier to cancel a run. To accommodate this requirement, the `CancelRunAsync` method
Some agents, for example Azure AI Foundry Agents, require the thread identifier to cancel a run. To accommodate this requirement, the `CancelRunAsync` method
accepts an optional `AgentCancelRunOptions` parameter that allows callers to specify the thread associated with the run they want to cancel.
```csharp
@@ -1574,7 +1574,7 @@ the thread is provided with background operations consistently for all runs.
</details>
<details>
<summary>Microsoft Foundry Agents</summary>
<summary>Azure AI Foundry Agents</summary>
- Create a thread and run the agent against it and wait for it to complete using polling:
```csharp
@@ -126,4 +126,4 @@ response = await client.get_response(
Chosen option: **"Option 2: TypedDict with Generic Type Parameters"**, because it provides full type safety, excellent IDE support with autocompletion, and allows users to extend provider-specific options for their use cases. Extended this Generic to ChatAgents in order to also properly type the options used in agent construction and run methods.
See [typed_options.py](../../python/samples/02-agents/typed_options.py) for a complete example demonstrating the usage of typed options with custom extensions.
See [typed_options.py](../../python/samples/getting_started/chat_client/typed_options.py) for a complete example demonstrating the usage of typed options with custom extensions.
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---
status: proposed
contact: westey-m
date: 2026-01-27
deciders: sergeymenshykh, markwallace, rbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub, lokitoth, alliscode, taochenosu, moonbox3
consulted:
informed:
---
# AgentRunContext for Agent Run
## Context and Problem Statement
During an agent run, various components involved in the execution (middleware, filters, tools, nested agents, etc.) may need access to contextual information about the current run, such as:
1. The agent that is executing the run
2. The session associated with the run
3. The request messages passed to the agent
4. The run options controlling the agent's behavior
Additionally, some components may need to modify this context during execution, for example:
- Replacing the session with a different one
- Modifying the request messages before they reach the agent core
- Updating or replacing the run options entirely
Currently, there is no standardized way to access or modify this context from arbitrary code that executes during an agent run, especially from deeply nested call stacks where the context is not explicitly passed.
## Sample Scenario
When using an Agent as an AIFunction developers may want to pass context from the parent agent run to the child agent run. For example, the developer may want to copy chat history to the child agent, or share the same session across both agents.
To enable these scenarios, we need a way to access the parent agent run context, including e.g. the parent agent itself, the parent agent session, and the parent run options from function tool calls.
```csharp
public static AIFunction AsAIFunctionWithSessionPropagation(this ChatClientAgent agent, AIFunctionFactoryOptions? options = null)
{
Throw.IfNull(agent);
[Description("Invoke an agent to retrieve some information.")]
async Task<string> InvokeAgentAsync(
[Description("Input query to invoke the agent.")] string query,
CancellationToken cancellationToken)
{
// Get the session from the parent agent and pass it to the child agent.
var session = AIAgent.CurrentRunContext?.Session;
// Alternatively, the developer may want to create a new session but copy over the chat history from the parent agent.
// var parentChatHistory = AIAgent.CurrentRunContext?.Session?.GetService<IList<ChatMessage>>();
// if (parentChatHistory != null)
// {
// var chp = new InMemoryChatHistoryProvider();
// foreach (var message in parentChatHistory)
// {
// chp.Add(message);
// }
// session = agent.GetNewSession(chp);
// }
var response = await agent.RunAsync(query, session: session, cancellationToken: cancellationToken).ConfigureAwait(false);
return response.Text;
}
options ??= new();
options.Name ??= SanitizeAgentName(agent.Name);
options.Description ??= agent.Description;
return AIFunctionFactory.Create(InvokeAgentAsync, options);
}
```
## Decision Drivers
- Components executing during an agent run need access to run context without explicit parameter passing through every layer
- Context should flow naturally across async calls without manual propagation
- The design should allow modification of context properties by agent decorators (e.g., replacing options or session)
- Solution should be consistent with patterns used in similar frameworks (e.g., `FunctionInvokingChatClient.CurrentContext` `HttpContext.Current`, `Activity.Current`)
## Considered Options
- **Option 1**: Pass context explicitly through all method signatures
- **Option 2**: Use `AsyncLocal<T>` to provide ambient context accessible anywhere during the run
- **Option 3**: Use a combination of explicit parameters for `RunCoreAsync` and `AsyncLocal<T>` for ambient access
## Decision Outcome
Chosen option: **Option 3** - Combination of explicit parameters and AsyncLocal ambient access.
This approach provides the best of both worlds:
1. **Explicit parameters are passed to `RunCoreAsync`**: The core agent implementation receives the parameters explicitly, making it clear what data is available and enabling easy unit testing. Any modification of these in a decorator will require calling `RunAsync` on the inner agent with the updated parameters, which would result in the inner agent creating a new `AgentRunContext` instance.
```csharp
public async Task<AgentResponse> RunAsync(
IEnumerable<ChatMessage> messages,
AgentSession? session = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
CurrentRunContext = new(this, session, messages as IReadOnlyCollection<ChatMessage> ?? messages.ToList(), options);
return await this.RunCoreAsync(messages, session, options, cancellationToken).ConfigureAwait(false);
}
```
2. **`AsyncLocal<AgentRunContext?>` for ambient access**: The context is stored in an `AsyncLocal<T>` field, making it accessible from any code executing during the agent run via a static property.
The main scenario for this is to allow deeply nested components (e.g., tools, chat client middleware) to access the context without needing to pass it through every method signature. These are external components that cannot easily be modified to accept additional parameters. For internal components, we prefer passing any parameters explicitly.
```csharp
public static AgentRunContext? CurrentRunContext
{
get => s_currentContext.Value;
protected set => s_currentContext.Value = value;
}
```
### AgentRunContext Design
The `AgentRunContext` class encapsulates all run-related state:
```csharp
public class AgentRunContext
{
public AgentRunContext(
AIAgent agent,
AgentSession? session,
IReadOnlyCollection<ChatMessage> requestMessages,
AgentRunOptions? agentRunOptions)
public AIAgent Agent { get; }
public AgentSession? Session { get; }
public IReadOnlyCollection<ChatMessage> RequestMessages { get; }
public AgentRunOptions? RunOptions { get; }
}
```
Key design decisions:
- **All properties are read-only**: While some of the sub-properties on the provided properties (like `AgentRunOptions.AllowBackgroundResponses`) may be mutable, the `AgentRunContext` itself is immutable and we want to discourage anyone modifying the values in the context. Modifying the context is unlikely to result in the desired behavior, as the values will typically already have been used by the time any custom code accesses them.
### Benefits
1. **Ambient Access**: Any code executing during the run can access context via `AIAgent.CurrentRunContext` without needing explicit parameters
2. **Async Flow**: `AsyncLocal<T>` automatically flows across async/await boundaries
3. **Modifiability**: Components can modify or replace session, messages, or options as needed
4. **Testability**: The explicit parameter to `RunCoreAsync` makes unit testing straightforward
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---
status: proposed
contact: sergeymenshykh
date: 2026-01-22
deciders: rbarreto, westey-m, stephentoub
informed: {}
---
# Structured Output
Structured output is a valuable aspect of any agent system, since it forces an agent to produce output in a required format that may include required fields.
This allows easily turning unstructured data into structured data using a general-purpose language model.
## Context and Problem Statement
Structured output is currently supported only by `ChatClientAgent` and can be configured in two ways:
**Approach 1: ResponseFormat + Deserialize**
Specify the SO type schema via the `ChatClientAgent{Run}Options.ChatOptions.ResponseFormat` property at agent creation or invocation time, then use `JsonSerializer.Deserialize<T>` to extract the structured data from the response text.
```csharp
// SO type can be provided at agent creation time
ChatClientAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions()
{
Name = "...",
ChatOptions = new() { ResponseFormat = ChatResponseFormat.ForJsonSchema<PersonInfo>() }
});
AgentResponse response = await agent.RunAsync("...");
PersonInfo personInfo = response.Deserialize<PersonInfo>(JsonSerializerOptions.Web);
Console.WriteLine($"Name: {personInfo.Name}");
Console.WriteLine($"Age: {personInfo.Age}");
Console.WriteLine($"Occupation: {personInfo.Occupation}");
// Alternatively, SO type can be provided at agent invocation time
response = await agent.RunAsync("...", new ChatClientAgentRunOptions()
{
ChatOptions = new() { ResponseFormat = ChatResponseFormat.ForJsonSchema<PersonInfo>() }
});
personInfo = response.Deserialize<PersonInfo>(JsonSerializerOptions.Web);
Console.WriteLine($"Name: {personInfo.Name}");
Console.WriteLine($"Age: {personInfo.Age}");
Console.WriteLine($"Occupation: {personInfo.Occupation}");
```
**Approach 2: Generic RunAsync<T>**
Supply the SO type as a generic parameter to `RunAsync<T>` and access the parsed result directly via the `Result` property.
```csharp
ChatClientAgent agent = ...;
AgentResponse<PersonInfo> response = await agent.RunAsync<PersonInfo>("...");
Console.WriteLine($"Name: {response.Result.Name}");
Console.WriteLine($"Age: {response.Result.Age}");
Console.WriteLine($"Occupation: {response.Result.Occupation}");
```
Note: `RunAsync<T>` is an instance method of `ChatClientAgent` and not part of the `AIAgent` base class since not all agents support structured output.
Approach 1 is perceived as cumbersome by the community, as it requires additional effort when using primitive or collection types - the SO schema may need to be wrapped in an artificial JSON object. Otherwise, the caller will encounter an error like _Invalid schema for response_format 'Movie': schema must be a JSON Schema of 'type: "object"', got 'type: "array"'_.
This occurs because OpenAI and compatible APIs require a JSON object as the root schema.
Approach 1 is also necessary in scenarios where (a) agents can only be configured with SO at creation time (such as with `AIProjectClient`), (b) the SO type is not known at compile time, or (c) the JSON schema is represented as text (for declarative agents) or as a `JsonElement`.
Approach 2 is more convenient and works seamlessly with primitives and collections. However, it requires the SO type to be known at compile time, making it less flexible.
Additionally, since the `RunAsync<T>` methods are instance methods of `ChatClientAgent` and are not part of the `AIAgent` base class, applying decorators like `OpenTelemetryAgent` on top of `ChatClientAgent` prevents users from accessing `RunAsync<T>`, meaning structured output is not available with decorated agents.
Given the different scenarios above in which structured output can be used, there is no one-size-fits-all solution. Each approach has its own advantages and limitations,
and the two can complement each other to provide a comprehensive structured output experience across various use cases.
## Approaches Overview
1. SO usage via `ResponseFormat` property
2. SO usage via `RunAsync<T>` generic method
## 1. SO usage via `ResponseFormat` property
This approach should be used in the following scenarios:
- 1.1 SO result as text is sufficient as is, and deserialization is not required
- 1.2 SO for inter-agent collaboration
- 1.3 SO can only be configured at agent creation time (such as with `AIProjectClient`)
- 1.4 SO type is not known at compile time and represented by System.Type
- 1.5 SO is represented by JSON schema and there's no corresponding .NET type either at compile time or at runtime
- 1.6 SO in streaming scenarios, where the SO response is produced in parts
**Note: Primitives and arrays are not supported by this approach.**
When a caller provides a schema via `ResponseFormat`, they are explicitly telling the framework what schema to use. The framework passes that schema through as-is and
is not responsible for transforming it. Because the framework does not own the schema, it cannot wrap primitives or arrays into a JSON object to satisfy API requirements,
nor can it unwrap the response afterward - the caller controls the schema and is responsible for ensuring it is compatible with the underlying API.
This is in contrast to the `RunAsync<T>` approach (section 2), where the caller provides a type `T` and says "make it work." In that case, the caller does not
dictate the schema - the framework infers the schema from `T`, owns the end-to-end pipeline (schema generation, API invocation, and deserialization), and can
therefore wrap and unwrap primitives and arrays transparently.
Additionally, in streaming scenarios (1.6), the framework cannot reliably unwrap a response it did not wrap, since it has no way of knowing whether the caller wrapped the schema.Wrapping and unwrapping can only be done safely when the framework owns the entire lifecycle - from schema creation through deserialization — which is only the case with `RunAsync<T>`.
If a caller needs to work with primitives or arrays via the `ResponseFormat` approach, they can easily create a wrapper type around them:
```csharp
public class MovieListWrapper
{
public List<string> Movies { get; set; }
}
```
### 1.1 SO result as text is sufficient as is, and deserialization is not required
In this scenario, the caller only needs the raw JSON text returned by the model and does not need to deserialize it into a .NET type.
The SO schema is specified via `ResponseFormat` at agent creation or invocation time, and the response text is consumed directly from the `AgentResponse`.
```csharp
AIAgent agent = chatClient.AsAIAgent();
AgentRunOptions runOptions = new()
{
ResponseFormat = ChatResponseFormat.ForJsonSchema<PersonInfo>()
};
AgentResponse response = await agent.RunAsync("...", options: runOptions);
Console.WriteLine(response.Text);
```
### 1.2 SO for inter-agent collaboration
This scenario assumes a multi-agent setup where agents collaborate by passing messages to each other.
One agent produces structured output as text that is then passed directly as input to the next agent, without intermediate deserialization.
```csharp
// First agent extracts structured data from unstructured input
AIAgent extractionAgent = chatClient.AsAIAgent(new ChatClientAgentOptions()
{
Name = "ExtractionAgent",
ChatOptions = new()
{
Instructions = "Extract person information from the provided text.",
ResponseFormat = ChatResponseFormat.ForJsonSchema<PersonInfo>()
}
});
AgentResponse extractionResponse = await extractionAgent.RunAsync("John Smith is a 35-year-old software engineer.");
// Pass the message with structured output text directly to the next agent
ChatMessage soMessage = extractionResponse.Messages.Last();
AIAgent summaryAgent = chatClient.AsAIAgent(new ChatClientAgentOptions()
{
Name = "SummaryAgent",
ChatOptions = new() { Instructions = "Given the following structured person data, write a short professional bio." }
});
AgentResponse summaryResponse = await summaryAgent.RunAsync(soMessage);
Console.WriteLine(summaryResponse);
```
### 1.3 SO configured at agent creation time
In this scenario, the SO schema can only be configured at agent creation time (such as with `AIProjectClient`) and cannot be changed on a per-run basis.
The caller specifies the `ResponseFormat` when creating the agent, and all subsequent invocations use the same schema.
```csharp
AIProjectClient client = ...;
AIAgent agent = await client.CreateAIAgentAsync(model: "<model>", new ChatClientAgentOptions()
{
Name = "...",
ChatOptions = new() { ResponseFormat = ChatResponseFormat.ForJsonSchema<PersonInfo>() }
});
AgentResponse response = await agent.RunAsync("Please provide information about John Smith.");
PersonInfo personInfo = JsonSerializer.Deserialize<PersonInfo>(response.Text, JsonSerializerOptions.Web)!;
Console.WriteLine($"Name: {personInfo.Name}");
Console.WriteLine($"Age: {personInfo.Age}");
Console.WriteLine($"Occupation: {personInfo.Occupation}");
```
### 1.4 SO type not known at compile time and represented by System.Type
In this scenario, the SO type is not known at compile time and is provided as a `System.Type` at runtime. This is useful for dynamic scenarios where the schema is determined programmatically,
such as when building tooling or frameworks that work with user-defined types.
```csharp
Type soType = GetStructuredOutputTypeFromConfiguration(); // e.g., typeof(PersonInfo)
ChatResponseFormat responseFormat = ChatResponseFormat.ForJsonSchema(soType);
AgentResponse response = await agent.RunAsync("...", new ChatClientAgentRunOptions()
{
ChatOptions = new() { ResponseFormat = responseFormat }
});
PersonInfo personInfo = (PersonInfo)JsonSerializer.Deserialize(response.Text, soType, JsonSerializerOptions.Web)!;
```
### 1.5 SO represented by JSON schema with no corresponding .NET type
In this scenario, the SO schema is represented as raw JSON schema text or a `JsonElement`, and there is no corresponding .NET type available at compile time or runtime.
This is typical for declarative agents or scenarios where schemas are loaded from external configuration.
```csharp
// JSON schema provided as a string, e.g., loaded from a configuration file
string jsonSchema = """
{
"type": "object",
"properties": {
"name": { "type": "string" },
"age": { "type": "integer" },
"occupation": { "type": "string" }
},
"required": ["name", "age", "occupation"]
}
""";
ChatResponseFormat responseFormat = ChatResponseFormat.ForJsonSchema(
jsonSchemaName: "PersonInfo",
jsonSchema: BinaryData.FromString(jsonSchema));
AgentResponse response = await agent.RunAsync("...", new ChatClientAgentRunOptions()
{
ChatOptions = new() { ResponseFormat = responseFormat }
});
// Consume the SO result as text since there's no .NET type to deserialize into
Console.WriteLine(response.Text);
```
### 1.6 SO in streaming scenarios
In this scenario, the SO response is produced incrementally in parts via streaming. The caller specifies the `ResponseFormat` and consumes the response chunks as they arrive.
Deserialization is performed after all chunks have been received.
```csharp
AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions()
{
Name = "HelpfulAssistant",
ChatOptions = new()
{
Instructions = "You are a helpful assistant.",
ResponseFormat = ChatResponseFormat.ForJsonSchema<PersonInfo>()
}
});
IAsyncEnumerable<AgentResponseUpdate> updates = agent.RunStreamingAsync("Please provide information about John Smith, who is a 35-year-old software engineer.");
AgentResponse response = await updates.ToAgentResponseAsync();
// Deserialize the complete SO result after streaming is finished
PersonInfo personInfo = JsonSerializer.Deserialize<PersonInfo>(response.Text)!;
```
## 2. SO usage via `RunAsync<T>` generic method
This approach provides a convenient way to work with structured output on a per-run basis when the target type is known at compile time and a typed instance of the result
is required.
### Decision Drivers
1. Support arrays and primitives as SO types
2. Support complex types as SO types
3. Work with `AIAgent` decorators (e.g., `OpenTelemetryAgent`)
4. Enable SO for all AI agents, regardless of whether they natively support it
### Considered Options
1. `RunAsync<T>` as an instance method of `AIAgent` class delegating to virtual `RunCoreAsync<T>`
2. `RunAsync<T>` as an extension method using feature collection
3. `RunAsync<T>` as a method of the new `ITypedAIAgent` interface
4. `RunAsync<T>` as an instance method of `AIAgent` class working via the new `AgentRunOptions.ResponseFormat` property
### 1. `RunAsync<T>` as an instance method of `AIAgent` class delegating to virtual `RunCoreAsync<T>`
This option adds the `RunAsync<T>` method directly to the `AIAgent` base class.
```csharp
public abstract class AIAgent
{
public Task<AgentResponse<T>> RunAsync<T>(
IEnumerable<ChatMessage> messages,
AgentSession? session = null,
JsonSerializerOptions? serializerOptions = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
=> this.RunCoreAsync<T>(messages, session, serializerOptions, options, cancellationToken);
protected virtual Task<AgentResponse<T>> RunCoreAsync<T>(
IEnumerable<ChatMessage> messages,
AgentSession? session = null,
JsonSerializerOptions? serializerOptions = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
throw new NotSupportedException($"The agent of type '{this.GetType().FullName}' does not support typed responses.");
}
}
```
Agents with native SO support override the `RunCoreAsync<T>` method to provide their implementation. If not overridden, the method throws a `NotSupportedException`.
Users will call the generic `RunAsync<T>` method directly on the agent:
```csharp
AIAgent agent = chatClient.AsAIAgent(name: "HelpfulAssistant", instructions: "You are a helpful assistant.");
AgentResponse<PersonInfo> response = await agent.RunAsync<PersonInfo>("Please provide information about John Smith, who is a 35-year-old software engineer.");
```
Decision drivers satisfied:
1. Support arrays and primitives as SO types
2. Support complex types as SO types
3. Work with `AIAgent` decorators (e.g., `OpenTelemetryAgent`)
4. Enable SO for all AI agents, regardless of whether they natively support it
Pros:
- The `AIAgent.RunAsync<T>` method is easily discoverable.
- Both the SO decorator and `ChatClientAgent` have compile-time access to the type `T`, allowing them to use the native `IChatClient.GetResponseAsync<T>` API, which handles primitives and collections seamlessly.
Cons:
- Agents without native SO support will still expose `RunAsync<T>`, which may be misleading.
- `ChatClientAgent` exposing `RunAsync<T>` may be misleading when the underlying chat client does not support SO.
- All `AIAgent` decorators must override `RunCoreAsync<T>` to properly handle `RunAsync<T>` calls.
### 2. `RunAsync<T>` as an extension method using feature collection
This option uses the Agent Framework feature collection (implemented via `AgentRunOptions.AdditionalProperties`) to pass a `StructuredOutputFeature` to agents, signaling that SO is requested.
Agents with native SO support check for this feature. If present, they read the target type, build the schema, invoke the underlying API, and store the response back in the feature.
```csharp
public class StructuredOutputFeature
{
public StructuredOutputFeature(Type outputType)
{
this.OutputType = outputType;
}
[JsonIgnore]
public Type OutputType { get; set; }
public JsonSerializerOptions? SerializerOptions { get; set; }
public AgentResponse? Response { get; set; }
}
```
The `RunAsync<T>` extension method for `AIAgent` adds this feature to the collection.
```csharp
public static async Task<AgentResponse<T>> RunAsync<T>(
this AIAgent agent,
IEnumerable<ChatMessage> messages,
AgentSession? session = null,
JsonSerializerOptions? serializerOptions = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
// Create the structured output feature.
StructuredOutputFeature structuredOutputFeature = new(typeof(T))
{
SerializerOptions = serializerOptions,
};
// Register it in the feature collection.
((options ??= new AgentRunOptions()).AdditionalProperties ??= []).Add(typeof(StructuredOutputFeature).FullName!, structuredOutputFeature);
var response = await agent.RunAsync(messages, session, options, cancellationToken).ConfigureAwait(false);
if (structuredOutputFeature.Response is not null)
{
return new StructuredOutputResponse<T>(structuredOutputFeature.Response, response, serializerOptions);
}
throw new InvalidOperationException("No structured output response was generated by the agent.");
}
```
Users will call the `RunAsync<T>` extension method directly on the agent:
```csharp
AIAgent agent = chatClient.AsAIAgent(name: "HelpfulAssistant", instructions: "You are a helpful assistant.");
AgentResponse<PersonInfo> response = await agent.RunAsync<PersonInfo>("Please provide information about John Smith, who is a 35-year-old software engineer.");
```
Decision drivers satisfied:
1. Support arrays and primitives as SO types
2. Support complex types as SO types
3. Work with `AIAgent` decorators (e.g., `OpenTelemetryAgent`)
4. Enable SO for all AI agents, regardless of whether they natively support it
Pros:
- The `RunAsync<T>` extension method is easily discoverable.
- The `AIAgent` public API surface remains unchanged.
- No changes required to `AIAgent` decorators.
Cons:
- Agents without native SO support will still expose `RunAsync<T>`, which may be misleading.
- `ChatClientAgent` exposing `RunAsync<T>` may be misleading when the underlying chat client does not support SO.
### 3. `RunAsync<T>` as a method of the new `ITypedAIAgent` interface
This option defines a new `ITypedAIAgent` interface that agents with SO support implement. Agents without SO support do not implement it, allowing users to check for SO capability via interface detection.
The interface:
```csharp
public interface ITypedAIAgent
{
Task<AgentResponse<T>> RunAsync<T>(
IEnumerable<ChatMessage> messages,
AgentSession? session = null,
JsonSerializerOptions? serializerOptions = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default);
...
}
```
Agents with SO support implement this interface:
```csharp
public sealed partial class ChatClientAgent : AIAgent, ITypedAIAgent
{
public async Task<AgentResponse<T>> RunAsync<T>(
IEnumerable<ChatMessage> messages,
AgentSession? session = null,
JsonSerializerOptions? serializerOptions = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
...
}
}
```
However, `ChatClientAgent` presents a challenge: it can work with chat clients that either support or do not support SO. Implementing the interface does not guarantee
the underlying chat client supports SO, which undermines the core idea of using interface detection to determine SO capability.
Additionally, to allow users to access interface methods on decorated agents, all decorators must implement `ITypedAIAgent`. This makes it difficult for users to
determine whether the underlying agent actually supports SO, further weakening the purpose of this approach.
Furthermore, users would have to probe the agent type to check if it implements the `ITypedAIAgent` interface and cast it accordingly to access the `RunAsync<T>` methods.
This adds friction to the user experience. A `RunAsync<T>` extension method for `AIAgent` could be provided to alleviate that.
Given these drawbacks, this option is more complex to implement than the others without providing clear benefits.
Decision drivers satisfied:
1. Support arrays and primitives as SO types
2. Support complex types as SO types
3. Work with `AIAgent` decorators (e.g., `OpenTelemetryAgent`)
4. Enable SO for all AI agents, regardless of whether they natively support it
Pros:
- Both the SO decorator and `ChatClientAgent` have compile-time access to the type `T`, allowing them to use the native `IChatClient.GetResponseAsync<T>` API, which handles primitives and collections seamlessly.
Cons:
- `ChatClientAgent` implementing `ITypedAIAgent` may be misleading when the underlying chat client does not support SO.
- All `AIAgent` decorators must implement `ITypedAIAgent` to handle `RunAsync<T>` calls.
- Decorators implementing the interface may mislead users into thinking the underlying agent natively supports SO.
- Agents must implement all members of `ITypedAIAgent`, not just a core method.
- Users must check the agent type and cast to `ITypedAIAgent` to access `RunAsync<T>`.
### 4. `RunAsync<T>` as an instance method of `AIAgent` class working via the new `AgentRunOptions.ResponseFormat` property
This option adds a `ResponseFormat` property of type `ChatResponseFormat` to `AgentRunOptions`. Agents that support SO check for the presence of
this property in the options passed to `RunAsync` to determine whether structured output is requested. If present, they use the schema from `ResponseFormat`
to invoke the underlying API and obtain the SO response.
```csharp
public class AgentRunOptions
{
public ChatResponseFormat? ResponseFormat { get; set; }
}
```
Additionally, a generic `RunAsync<T>` method is added to `AIAgent` that initializes the `ResponseFormat` based on the type `T` and delegates to the non-generic `RunAsync`.
```csharp
public abstract class AIAgent
{
public async Task<AgentResponse<T>> RunAsync<T>(
IEnumerable<ChatMessage> messages,
AgentSession? session = null,
JsonSerializerOptions? serializerOptions = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
serializerOptions ??= AgentAbstractionsJsonUtilities.DefaultOptions;
var responseFormat = ChatResponseFormat.ForJsonSchema<T>(serializerOptions);
options = options?.Clone() ?? new AgentRunOptions();
options.ResponseFormat = responseFormat;
AgentResponse response = await this.RunAsync(messages, session, options, cancellationToken).ConfigureAwait(false);
return new AgentResponse<T>(response, serializerOptions);
}
}
```
Users call the generic `RunAsync<T>` method directly on the agent:
```csharp
AIAgent agent = chatClient.AsAIAgent(name: "HelpfulAssistant", instructions: "You are a helpful assistant.");
AgentResponse<PersonInfo> response = await agent.RunAsync<PersonInfo>("Please provide information about John Smith, who is a 35-year-old software engineer.");
```
Decision drivers satisfied:
1. Support arrays and primitives as SO types
2. Support complex types as SO types
3. Work with `AIAgent` decorators (e.g., `OpenTelemetryAgent`)
4. Enable SO for all AI agents, regardless of whether they natively support it
Pros:
- The `AIAgent.RunAsync<T>` method is easily discoverable.
- No changes required to `AIAgent` decorators
Cons:
- Agents without native SO support will still expose `RunAsync<T>`, which may be misleading.
- `ChatClientAgent` exposing `RunAsync<T>` may be misleading when the underlying chat client does not support SO.
### Decision Table
| | Option 1: Instance method + RunCoreAsync<T> | Option 2: Extension method + feature collection | Option 3: ITypedAIAgent Interface | Option 4: Instance method + AgentRunOptions.ResponseFormat |
|---|---|---|---|---|
| Discoverability | ✅ `RunAsync<T>` easily discoverable | ✅ `RunAsync<T>` easily discoverable | ❌ Requires type check and cast | ✅ `RunAsync<T>` easily discoverable |
| Decorator changes | ❌ All decorators must override `RunCoreAsync<T>` | ✅ No changes required | ❌ All decorators must implement `ITypedAIAgent` | ✅ No changes required to decorators |
| Primitives/collections handling | ✅ Native support via `IChatClient.GetResponseAsync<T>` | ❌ Must wrap/unwrap internally | ✅ Native support via `IChatClient.GetResponseAsync<T>` | ❌ Must wrap/unwrap internally |
| Misleading API exposure | ❌ Agents without SO still expose `RunAsync<T>` | ❌ Agents without SO still expose `RunAsync<T>` | ❌ Interface on `ChatClientAgent` may be misleading | ❌ Agents without SO still expose `RunAsync<T>` |
| Implementation burden | ❌ Decorators must override method | ❌ Must handle schema wrapping | ❌ Agents must implement all interface members | ✅ Delegates to existing `RunAsync` via `ResponseFormat` |
## Cross-Cutting Aspects
1. **The `useJsonSchemaResponseFormat` parameter**: The `ChatClientAgent.RunAsync<T>` method has this parameter to enable structured output on LLMs that do not natively support it.
It works by adding a user message like "Respond with a JSON value conforming to the following schema:" along with the JSON schema. However, this approach has not been reliable historically. The recommendation is not to carry this parameter forward, regardless of which option is chosen.
2. **Primitives and array types handling**: There are a few options for how primitive and array types can be handled in the Agent Framework:
1. **Never wrap**, regardless of whether the schema is provided via `ResponseFormat` or `RunAsync<T>`.
- Pro: No changes needed; user has full control.
- Pro: No issues with unwrapping in streaming scenarios.
- Con: User must wrap manually.
2. **Always wrap**, regardless of whether the schema is provided via `ResponseFormat` or `RunAsync<T>`.
- Pro: Consistent wrapping behavior; no manual wrapping needed.
- Con: Inconsistent unwrapping behavior; it may be unexpected to have SO result wrapped when schema is provided via `ResponseFormat`.
- Con: Impossible to know if SO result is wrapped to unwrap it in streaming scenarios.
3. **Wrap only for `RunAsync<T>`** and do not wrap the schema provided via `ResponseFormat`.
- Pro: No unexpectedly wrapped result when schema is provided via `ResponseFormat`.
- Pro: Solves the problem with unwrapping in streaming scenarios.
4. **User decides** whether to wrap schema provided via `ResponseFormat` using a new `wrapPrimitivesAndArrays` property of `ChatResponseFormatJson`. For SO provided via `RunAsync<T>`, AF always wraps.
- Pro: No manual wrapping needed; just flip a switch.
- Pro: Solves the problem with unwrapping in streaming scenarios.
- Con: Extends the public API surface.
3. **Structured output for agents without native SO support**: Some AI agents in AF do not support structured output natively. This is either because it is not part of the protocol (e.g., A2A agent) or because the agents use LLMs without structured output capabilities.
To address this gap, AF can provide the `StructuredOutputAgent` decorator. This decorator wraps any `AIAgent` and adds structured output support by obtaining the text response from the decorated agent and delegating it to a configured chat client for JSON transformation.
```csharp
public class StructuredOutputAgent : DelegatingAIAgent
{
private readonly IChatClient _chatClient;
public StructuredOutputAgent(AIAgent innerAgent, IChatClient chatClient)
: base(innerAgent)
{
this._chatClient = Throw.IfNull(chatClient);
}
protected override async Task<AgentResponse<T>> RunCoreAsync<T>(
IEnumerable<ChatMessage> messages,
AgentSession? session = null,
JsonSerializerOptions? serializerOptions = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
// Run the inner agent first, to get back the text response we want to convert.
var textResponse = await this.InnerAgent.RunAsync(messages, session, options, cancellationToken).ConfigureAwait(false);
// Invoke the chat client to transform the text output into structured data.
ChatResponse<T> soResponse = await this._chatClient.GetResponseAsync<T>(
messages:
[
new ChatMessage(ChatRole.System, "You are a json expert and when provided with any text, will convert it to the requested json format."),
new ChatMessage(ChatRole.User, textResponse.Text)
],
serializerOptions: serializerOptions ?? AgentJsonUtilities.DefaultOptions,
cancellationToken: cancellationToken).ConfigureAwait(false);
return new StructuredOutputAgentResponse(soResponse, textResponse);
}
}
```
The decorator preserves the original response from the decorated agent and surfaces it via the `OriginalResponse` property on the returned `StructuredOutputAgentResponse`.
This allows users to access both the original unstructured response and the new structured response when using this decorator.
```csharp
public class StructuredOutputAgentResponse : AgentResponse
{
internal StructuredOutputAgentResponse(ChatResponse chatResponse, AgentResponse agentResponse) : base(chatResponse)
{
this.OriginalResponse = agentResponse;
}
public AgentResponse OriginalResponse { get; }
}
```
The decorator can be registered during the agent configuration step using the `UseStructuredOutput` extension method on `AIAgentBuilder`.
```csharp
IChatClient meaiChatClient = chatClient.AsIChatClient();
AIAgent baseAgent = meaiChatClient.AsAIAgent(name: "HelpfulAssistant", instructions: "You are a helpful assistant.");
// Register the StructuredOutputAgent decorator during agent building
AIAgent agent = baseAgent
.AsBuilder()
.UseStructuredOutput(meaiChatClient)
.Build();
AgentResponse<PersonInfo> response = await agent.RunAsync<PersonInfo>("Please provide information about John Smith, who is a 35-year-old software engineer.");
Console.WriteLine($"Name: {response.Result.Name}");
Console.WriteLine($"Age: {response.Result.Age}");
Console.WriteLine($"Occupation: {response.Result.Occupation}");
var originalResponse = ((StructuredOutputAgentResponse)response.RawRepresentation!).OriginalResponse;
Console.WriteLine($"Original unstructured response: {originalResponse.Text}");
```
## Decision Outcome
It was decided to keep both approaches for structured output - via `ResponseFormat` and via `RunAsync<T>` since they serve different scenarios and use cases.
For the `RunAsync<T>` approach, option 4 was selected, which adds a generic `RunAsync<T>` method to `AIAgent` that works via the new `AgentRunOptions.ResponseFormat` property.
This was chosen for its simplicity and because no changes are required to existing `AIAgent` decorators.
For cross-cutting aspects, the `useJsonSchemaResponseFormat` parameter will not be carried forward due to reliability issues.
For handling primitives and array types, option 3 was selected: wrap only for `RunAsync<T>` and do not wrap the schema provided via `ResponseFormat`.
This avoids the issues described in the Approach 1 section note.
Finally, it was decided not to include the `StructuredOutputAgent` decorator in the framework, since the reliability of producing structured output via an additional
LLM call may not be sufficient for all scenarios. Instead, this pattern is provided as a sample to demonstrate how structured output can be achieved for agents without native support,
giving users a reference implementation they can adapt to their own requirements.
@@ -1,211 +0,0 @@
---
status: accepted
contact: westey-m
date: 2026-02-24
deciders: sergeymenshykh, markwallace, rbarreto, dmytrostruk, westey-m, eavanvalkenburg, stephentoub, lokitoth, alliscode, taochenosu, moonbox3
consulted:
informed:
---
# AdditionalProperties for AIAgent and AgentSession
## Context and Problem Statement
The `AIAgent` base class currently exposes `Id`, `Name`, and `Description` as its core metadata properties, and `AgentSession` exposes only a `StateBag` property.
Neither type has a mechanism for attaching arbitrary metadata, such as protocol-specific descriptors (e.g., A2A agent cards), hosting attributes, session-level tags, or custom user-defined metadata for discovery and routing.
Other types in the framework already carry `AdditionalProperties` — notably `AgentRunOptions`, `AgentResponse`, and `AgentResponseUpdate` — all using `AdditionalPropertiesDictionary` from `Microsoft.Extensions.AI`.
Adding a similar property to `AIAgent` and `AgentSession` would give both types a consistent, extensible metadata surface.
Related: [Work Item #2133](https://github.com/microsoft/agent-framework/issues/2133)
## Decision Drivers
- **Consistency**: Other core types (`AgentRunOptions`, `AgentResponse`, `AgentResponseUpdate`) already expose `AdditionalProperties`. `AIAgent` and `AgentSession` are the major abstractions that lack this.
- **Extensibility**: Hosting libraries, protocol adapters (A2A, AG-UI), and discovery mechanisms need a place to attach agent-level and session-level metadata without subclassing.
- **Simplicity**: The solution should be easy to understand and use; avoid over-engineering.
- **Minimal breaking change**: The addition should not require changes to existing agent implementations.
- **Clear semantics**: Users should understand what `AdditionalProperties` on an agent or session means and how it differs from `AdditionalProperties` on `AgentRunOptions`.
## Considered Options
### Surface Area
- **Option A**: Public get-only property, auto-initialized (`AdditionalPropertiesDictionary AdditionalProperties { get; } = new()`) on both `AIAgent` and `AgentSession`
- **Option B**: Public get/set nullable property (`AdditionalPropertiesDictionary? AdditionalProperties { get; set; }`) on both `AIAgent` and `AgentSession`
- **Option C**: Constructor-injected dictionary with public get-only accessor on both `AIAgent` and `AgentSession`
- **Option D**: External container/wrapper object — metadata lives outside `AIAgent` and `AgentSession`; no changes to the base classes
### Semantics
- **Option 1**: Metadata only — describes the agent or session; not propagated when calling `IChatClient`
- **Option 2**: Passed down the stack — merged into `ChatOptions.AdditionalProperties` during `ChatClientAgent` runs
## Decision Outcome
The chosen option is **Option D + Option 1**: an external container/wrapper object, used purely as metadata.
### Consequences
- Good, because `AIAgent` and `AgentSession` remain unchanged, avoiding any increase to the core framework surface area while still enabling extensible metadata.
- Good, because an external wrapper (owned by hosting/protocol libraries or user code, not the `AIAgent` / `AgentSession` base classes) can internally use `AdditionalPropertiesDictionary` to stay consistent with existing patterns on `AgentRunOptions`, `AgentResponse`, and `AgentResponseUpdate`.
- Good, because metadata-only semantics keep a clean separation from per-run extensibility (`AgentRunOptions.AdditionalProperties`) and avoid unexpected side effects during agent execution.
- Good, because no additional allocation occurs on `AIAgent` or `AgentSession` when no metadata is needed; external wrappers can be created only when metadata is required.
- Bad, because callers and libraries must manage and pass around both the agent/session instance and its associated metadata wrapper, keeping them correctly associated.
- Bad, because different hosting or protocol layers may define their own wrapper types, which can fragment the ecosystem unless conventions are agreed upon.
## Pros and Cons of the Options
### Option A — Public get-only property, auto-initialized
The property is always non-null and ready to use. Users add metadata after construction.
```csharp
public abstract partial class AIAgent
{
public AdditionalPropertiesDictionary AdditionalProperties { get; } = new();
}
public abstract partial class AgentSession
{
public AdditionalPropertiesDictionary AdditionalProperties { get; } = new();
}
// Usage
agent.AdditionalProperties["protocol"] = "A2A";
agent.AdditionalProperties.Add<MyAgentCardInfo>(cardInfo);
session.AdditionalProperties["tenant"] = tenantId;
```
- Good, because users never encounter `null` — no defensive null checks needed.
- Good, because the dictionary reference cannot be replaced, preventing accidental data loss.
- Good, because it is the simplest API surface to use.
- Neutral, because it always allocates, even when no metadata is needed. The allocation cost is negligible.
- Bad, because it cannot be set at construction time as a single object (users must populate it post-construction).
### Option B — Public get/set nullable property
Matches the existing pattern on `AgentRunOptions`, `AgentResponse`, and `AgentResponseUpdate`.
```csharp
public abstract partial class AIAgent
{
public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
}
public abstract partial class AgentSession
{
public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
}
// Usage
agent.AdditionalProperties ??= new();
agent.AdditionalProperties["protocol"] = "A2A";
session.AdditionalProperties ??= new();
session.AdditionalProperties["tenant"] = tenantId;
```
- Good, because it is consistent with the existing `AdditionalProperties` pattern on `AgentRunOptions` and `AgentResponse`.
- Good, because it avoids allocation when no metadata is needed.
- Bad, because every consumer must null-check before reading or writing.
- Bad, because the entire dictionary can be replaced, risking accidental loss of metadata set by other components (e.g., a hosting library sets metadata, then user code replaces the dictionary).
### Option C — Constructor-injected with public get
The dictionary is provided at construction time and exposed as get-only.
```csharp
public abstract partial class AIAgent
{
public AdditionalPropertiesDictionary AdditionalProperties { get; }
protected AIAgent(AdditionalPropertiesDictionary? additionalProperties = null)
{
this.AdditionalProperties = additionalProperties ?? new();
}
}
public abstract partial class AgentSession
{
public AdditionalPropertiesDictionary AdditionalProperties { get; }
protected AgentSession(AdditionalPropertiesDictionary? additionalProperties = null)
{
this.AdditionalProperties = additionalProperties ?? new();
}
}
```
- Good, because an agent's metadata can be established before any code runs against it.
- Bad, because `AdditionalPropertiesDictionary` has no read-only variant, so the constructor-injection pattern gives a false sense of immutability — callers can still mutate the dictionary contents after construction.
- Bad, because it requires adding a constructor parameter to the abstract base classes, which is a source-breaking change for all existing `AIAgent` and `AgentSession` subclasses (even with a default value, it changes the constructor signature that derived classes chain to).
- Bad, because it is more complex with little practical benefit over Option A, since post-construction mutation is equally possible.
### Option D — External container/wrapper object
Rather than adding `AdditionalProperties` to `AIAgent` or `AgentSession`, users wrap the agent or session in a container object that carries both the instance and any associated metadata. No changes to the base classes are required.
```csharp
public class AgentWithMetadata
{
public required AIAgent Agent { get; init; }
public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
}
public class SessionWithMetadata
{
public required AgentSession Session { get; init; }
public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
}
// Usage
var wrapper = new AgentWithMetadata
{
Agent = myAgent,
AdditionalProperties = new() { ["protocol"] = "A2A" }
};
```
- Good, because it requires no changes to `AIAgent` or `AgentSession`, avoiding any risk of breaking existing implementations.
- Good, because metadata is clearly external to the agent and session, eliminating any ambiguity about whether it might be passed down the execution stack.
- Good, because the container pattern gives the user full control over the metadata lifecycle and serialization.
- Bad, because it is not discoverable — users must know about the container convention; there is no built-in API surface guiding them.
### Option 1 — Metadata only
`AdditionalProperties` on `AIAgent` and `AgentSession` is descriptive metadata. It is **not** automatically propagated when the agent calls downstream services such as `IChatClient`.
- Good, because it keeps a clean separation of concerns: agent/session-level metadata vs. per-run options.
- Good, because it avoids unintended side effects — metadata added for discovery or hosting won't leak into LLM requests.
- Good, because per-run extensibility is already served by `AgentRunOptions.AdditionalProperties` (see [ADR 0014](0014-feature-collections.md)), so there is no gap.
- Neutral, because users who want to pass agent metadata to the chat client can still do so manually via `AgentRunOptions`.
### Option 2 — Passed down the stack
`AdditionalProperties` on `AIAgent` and `AgentSession` are automatically merged into `ChatOptions.AdditionalProperties` (or similar) when `ChatClientAgent` invokes the underlying `IChatClient`.
- Good, because it provides an automatic way to send agent-level configuration to the LLM provider.
- Bad, because it conflates metadata (describing the agent) with operational parameters (controlling LLM behavior), leading to potential confusion.
- Bad, because it risks leaking unrelated metadata into LLM calls (e.g., hosting tags, discovery URLs).
- Bad, because it would be `ChatClientAgent`-specific behavior on a base-class property, creating inconsistency for non-`ChatClientAgent` implementations.
- Bad, because it duplicates the purpose of `AgentRunOptions.AdditionalProperties`, which already serves as the per-run extensibility point for passing data down the stack.
## Serialization Considerations
`AIAgent` instances are not typically serialized, so `AdditionalProperties` on `AIAgent` does not raise serialization concerns.
`AgentSession` instances, however, are routinely serialized and deserialized — for example, to persist conversation state across application restarts. Adding `AdditionalProperties` to `AgentSession` introduces a serialization challenge: `AdditionalPropertiesDictionary` is a `Dictionary<string, object?>`, and `object?` values do not carry enough type information for the JSON deserializer to reconstruct the original CLR types.
### Default behavior — JsonElement round-tripping
By default, when an `AgentSession` with `AdditionalProperties` is serialized and later deserialized, any complex objects stored as values in the dictionary will be deserialized as `JsonElement` rather than their original types. This is the same behavior exhibited by `ChatMessage.AdditionalProperties` and other `AdditionalPropertiesDictionary` usages in `Microsoft.Extensions.AI`, and is the approach we will follow.
### Custom serialization via JsonSerializerOptions
`AIAgent.SerializeSessionAsync` and `AIAgent.DeserializeSessionAsync` already accept an optional `JsonSerializerOptions` parameter. Users who need strongly-typed round-tripping of `AdditionalProperties` values can supply custom options with appropriate converters or type info resolvers. This is non-trivial to implement but provides full control over deserialization behavior when needed.
## More Information
- [ADR 0014 — Feature Collections](0014-feature-collections.md) established that `AdditionalProperties` on `AgentRunOptions` serves as the per-run extensibility mechanism. The proposed agent-level and session-level properties serve a complementary, distinct purpose: static metadata describing the agent or session itself.
- `AdditionalPropertiesDictionary` is defined in `Microsoft.Extensions.AI` and is already a dependency of `Microsoft.Agents.AI.Abstractions`. No new package references are needed.
- Type-safe access is available via the existing `AdditionalPropertiesExtensions` helper methods (`Add<T>`, `TryGetValue<T>`, `Contains<T>`, `Remove<T>`), which use `typeof(T).FullName` as the dictionary key.

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