Python: Merge durabletask changes into main (#3420)

* 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

* Python: Rebase durable task feature branch with main (#2806)

* 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

* 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

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

---------

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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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Co-authored-by: Jacob Alber <jaalber@microsoft.com>
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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

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>

---------

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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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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

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

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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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* 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

* .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)

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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:
- 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

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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)

---
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)

---
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- dependency-name: actions/cache
  dependency-version: '5'
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  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'
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  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

---------

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

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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

---------

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

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

* 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

* Revert to match main

* revert file to main

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* 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

* 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)

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

---------

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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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Co-authored-by: Jacob Alber <jaalber@microsoft.com>
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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

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

---------

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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

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>

---------

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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>

---------

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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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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>

---------

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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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* 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

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* 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>

---------

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

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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

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

---------

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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

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

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

* 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

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* 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)

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* 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

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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)

---
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  dependency-version: 1.38.0
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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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* Python: Add integration tests for durabletask package (#3317)

* Add integration tests

* Fix flaky test

* Fix env viz

* Fix tests and address feedback

* Fix imports for durabletask (#3345)

* .NET: Python: Merge `main` into `feature-durabletask` branch (#3385)

* 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:
- 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)

---
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  dependency-version: '6'
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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)

---
updated-dependencies:
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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-version: '6'
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  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

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>

---------

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

* 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

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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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---------

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

* 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

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

* Align image generation output typing

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

* 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

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

* Remove raw image_generation tool remapping

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

* 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

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

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

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

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

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

* 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

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

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

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

* 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)

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

* 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

---------

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

* 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>

---------

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

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

* 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

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* Fix error message for invalid PR number

---------

Co-authored-by: Copilot <175728472+Copilot@…

* Modify failures

* Fix mypy errors

* Address comments

* Update durabletask version

* Remove event loops

* Add comment

* Fix typing for apps

---------

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This commit is contained in:
Laveesh Rohra
2026-01-27 13:08:05 -08:00
committed by GitHub
Unverified
parent c860385a8c
commit 787becfc9f
96 changed files with 11536 additions and 3032 deletions
@@ -0,0 +1,17 @@
# Azure OpenAI Configuration
AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=your-deployment-name
# Optional: Use Azure CLI authentication if not provided
# AZURE_OPENAI_API_KEY=your-api-key
# Durable Task Scheduler Configuration
ENDPOINT=http://localhost:8080
TASKHUB=default
# Redis Configuration (for streaming tests)
REDIS_CONNECTION_STRING=redis://localhost:6379
REDIS_STREAM_TTL_MINUTES=10
# Integration Test Control
# Set to 'true' to enable integration tests
RUN_INTEGRATION_TESTS=true
@@ -0,0 +1,111 @@
# Sample Integration Tests
Integration tests that validate the Durable Agent Framework samples by running them against a Durable Task Scheduler (DTS) instance.
## Setup
### 1. Create `.env` file
Copy `.env.example` to `.env` and fill in your Azure credentials:
```bash
cp .env.example .env
```
Required variables:
- `AZURE_OPENAI_ENDPOINT`
- `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`
- `AZURE_OPENAI_API_KEY` (optional if using Azure CLI authentication)
- `RUN_INTEGRATION_TESTS` (set to `true`)
- `ENDPOINT` (default: http://localhost:8080)
- `TASKHUB` (default: default)
Optional variables (for streaming tests):
- `REDIS_CONNECTION_STRING` (default: redis://localhost:6379)
- `REDIS_STREAM_TTL_MINUTES` (default: 10)
### 2. Start required services
**Durable Task Scheduler:**
```bash
docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest
```
- Port 8080: gRPC endpoint (used by tests)
- Port 8082: Web dashboard (optional, for monitoring)
**Redis (for streaming tests):**
```bash
docker run -d --name redis -p 6379:6379 redis:latest
```
- Port 6379: Redis server endpoint
## Running Tests
The tests automatically start and stop worker processes for each sample.
### Run all sample tests
```bash
uv run pytest packages/durabletask/tests/integration_tests -v
```
### Run specific sample
```bash
uv run pytest packages/durabletask/tests/integration_tests/test_01_single_agent.py -v
```
### Run with verbose output
```bash
uv run pytest packages/durabletask/tests/integration_tests -sv
```
## How It Works
Each test file uses pytest markers to automatically configure and start the worker process:
```python
pytestmark = [
pytest.mark.sample("03_single_agent_streaming"),
pytest.mark.integration_test,
pytest.mark.requires_azure_openai,
pytest.mark.requires_dts,
pytest.mark.requires_redis,
]
```
## Troubleshooting
**Tests are skipped:**
Ensure `RUN_INTEGRATION_TESTS=true` is set in your `.env` file.
**DTS connection failed:**
Check that the DTS emulator container is running: `docker ps | grep dts-emulator`
**Redis connection failed:**
Check that Redis is running: `docker ps | grep redis`
**Missing environment variables:**
Ensure your `.env` file contains all required variables from `.env.example`.
**Tests timeout:**
Check that Azure OpenAI credentials are valid and the service is accessible.
If you see "DTS emulator is not available":
- Ensure Docker container is running: `docker ps | grep dts-emulator`
- Check port 8080 is not in use by another process
- Restart the container if needed
### Azure OpenAI Errors
If you see authentication or deployment errors:
- Verify your `AZURE_OPENAI_ENDPOINT` is correct
- Confirm `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` matches your deployment
- If using API key, check `AZURE_OPENAI_API_KEY` is valid
- If using Azure CLI, ensure you're logged in: `az login`
## CI/CD
For automated testing in CI/CD pipelines:
1. Use Docker Compose to start DTS emulator
2. Set environment variables via CI/CD secrets
3. Run tests with appropriate markers: `pytest -m integration_test`
@@ -0,0 +1,234 @@
# Copyright (c) Microsoft. All rights reserved.
"""Pytest configuration and fixtures for durabletask integration tests."""
import asyncio
import logging
import os
import subprocess
import sys
import time
import uuid
from collections.abc import Generator
from pathlib import Path
from typing import Any, cast
import pytest
import redis.asyncio as aioredis
from dotenv import load_dotenv
from durabletask.azuremanaged.client import DurableTaskSchedulerClient
# Add the integration_tests directory to the path so testutils can be imported
sys.path.insert(0, str(Path(__file__).parent))
# Load environment variables from .env file
load_dotenv(Path(__file__).parent / ".env")
# Configure logging to reduce noise during tests
logging.basicConfig(level=logging.WARNING)
def _get_dts_endpoint() -> str:
"""Get the DTS endpoint from environment or use default."""
return os.getenv("ENDPOINT", "http://localhost:8080")
def _check_dts_available(endpoint: str | None = None) -> bool:
"""Check if DTS emulator is available at the given endpoint."""
try:
resolved_endpoint: str = _get_dts_endpoint() if endpoint is None else endpoint
DurableTaskSchedulerClient(
host_address=resolved_endpoint,
secure_channel=False,
taskhub="test",
token_credential=None,
)
return True
except Exception:
return False
def _check_redis_available() -> bool:
"""Check if Redis is available at the default connection string."""
try:
async def test_connection() -> bool:
redis_url = os.getenv("REDIS_CONNECTION_STRING", "redis://localhost:6379")
try:
client = aioredis.from_url(redis_url, socket_timeout=2) # type: ignore[reportUnknownMemberType]
await client.ping() # type: ignore[reportUnknownMemberType]
await client.aclose() # type: ignore[reportUnknownMemberType]
return True
except Exception:
return False
return asyncio.run(test_connection())
except Exception:
return False
def pytest_configure(config: pytest.Config) -> None:
"""Register custom markers."""
config.addinivalue_line("markers", "integration_test: mark test as integration test")
config.addinivalue_line("markers", "requires_dts: mark test as requiring DTS emulator")
config.addinivalue_line("markers", "requires_azure_openai: mark test as requiring Azure OpenAI")
config.addinivalue_line("markers", "requires_redis: mark test as requiring Redis")
config.addinivalue_line(
"markers",
"sample(path): specify the sample directory name for the test (e.g., @pytest.mark.sample('01_single_agent'))",
)
def pytest_collection_modifyitems(config: pytest.Config, items: list[pytest.Item]) -> None:
"""Skip tests based on markers and environment availability."""
run_integration = os.getenv("RUN_INTEGRATION_TESTS", "false").lower() == "true"
skip_integration = pytest.mark.skip(reason="RUN_INTEGRATION_TESTS not set to 'true'")
# Check Azure OpenAI environment variables
azure_openai_vars = ["AZURE_OPENAI_ENDPOINT", "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"]
azure_openai_available = all(os.getenv(var) for var in azure_openai_vars)
skip_azure_openai = pytest.mark.skip(
reason=f"Missing required environment variables: {', '.join(azure_openai_vars)}"
)
# Check DTS availability
dts_available = _check_dts_available()
skip_dts = pytest.mark.skip(reason=f"DTS emulator is not available at {_get_dts_endpoint()}")
# Check Redis availability
redis_available = _check_redis_available()
skip_redis = pytest.mark.skip(reason="Redis is not available at redis://localhost:6379")
for item in items:
if "integration_test" in item.keywords and not run_integration:
item.add_marker(skip_integration)
if "requires_azure_openai" in item.keywords and not azure_openai_available:
item.add_marker(skip_azure_openai)
if "requires_dts" in item.keywords and not dts_available:
item.add_marker(skip_dts)
if "requires_redis" in item.keywords and not redis_available:
item.add_marker(skip_redis)
@pytest.fixture(scope="session")
def dts_endpoint() -> str:
"""Get the DTS endpoint from environment or use default."""
return _get_dts_endpoint()
@pytest.fixture(scope="session")
def dts_available(dts_endpoint: str) -> bool:
"""Check if DTS emulator is available and responding."""
if _check_dts_available(dts_endpoint):
return True
pytest.skip(f"DTS emulator is not available at {dts_endpoint}")
return False
@pytest.fixture(scope="session")
def check_azure_openai_env() -> None:
"""Verify Azure OpenAI environment variables are set."""
required_vars = ["AZURE_OPENAI_ENDPOINT", "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"]
missing = [var for var in required_vars if not os.getenv(var)]
if missing:
pytest.skip(f"Missing required environment variables: {', '.join(missing)}")
@pytest.fixture(scope="module")
def unique_taskhub() -> str:
"""Generate a unique task hub name for test isolation."""
# Use a shorter UUID to avoid naming issues
return f"test-{uuid.uuid4().hex[:8]}"
@pytest.fixture(scope="module")
def worker_process(
dts_available: bool,
check_azure_openai_env: None,
dts_endpoint: str,
unique_taskhub: str,
request: pytest.FixtureRequest,
) -> Generator[dict[str, Any], None, None]:
"""
Start a worker process for the current test module by running the sample worker.py.
This fixture:
1. Determines which sample to run from @pytest.mark.sample()
2. Starts the sample's worker.py as a subprocess
3. Waits for the worker to be ready
4. Tears down the worker after tests complete
Usage:
@pytest.mark.sample("01_single_agent")
class TestSingleAgent:
...
"""
# Get sample path from marker
sample_marker = request.node.get_closest_marker("sample") # type: ignore[union-attr]
if not sample_marker:
pytest.fail("Test class must have @pytest.mark.sample() marker")
sample_name: str = cast(str, sample_marker.args[0]) # type: ignore[union-attr]
sample_path: Path = Path(__file__).parents[4] / "samples" / "getting_started" / "durabletask" / sample_name
worker_file: Path = sample_path / "worker.py"
if not worker_file.exists():
pytest.fail(f"Sample worker not found: {worker_file}")
# Set up environment for worker subprocess
env = os.environ.copy()
env["ENDPOINT"] = dts_endpoint
env["TASKHUB"] = unique_taskhub
# Start worker subprocess
try:
# On Windows, use CREATE_NEW_PROCESS_GROUP to allow proper termination
# shell=True only on Windows to handle PATH resolution
if sys.platform == "win32":
process = subprocess.Popen(
[sys.executable, str(worker_file)],
cwd=str(sample_path),
creationflags=subprocess.CREATE_NEW_PROCESS_GROUP,
shell=True,
env=env,
text=True,
)
# On Unix, don't use shell=True to avoid shell wrapper issues
else:
process = subprocess.Popen(
[sys.executable, str(worker_file)],
cwd=str(sample_path),
env=env,
text=True,
)
except Exception as e:
pytest.fail(f"Failed to start worker subprocess: {e}")
# Wait for worker to initialize
time.sleep(2)
# Check if process is still running
if process.poll() is not None:
stderr_output = process.stderr.read() if process.stderr else ""
pytest.fail(f"Worker process exited prematurely. stderr: {stderr_output}")
# Provide worker info to tests
worker_info = {
"process": process,
"endpoint": dts_endpoint,
"taskhub": unique_taskhub,
}
try:
yield worker_info
finally:
# Cleanup: terminate worker subprocess
try:
process.terminate()
try:
process.wait(timeout=5)
except subprocess.TimeoutExpired:
process.kill()
process.wait()
except Exception as e:
logging.warning(f"Error during worker process cleanup: {e}")
@@ -0,0 +1,205 @@
# Copyright (c) Microsoft. All rights reserved.
"""Test utilities for durabletask integration tests."""
import json
import time
from typing import Any
from durabletask.azuremanaged.client import DurableTaskSchedulerClient
from durabletask.client import OrchestrationStatus
from agent_framework_durabletask import DurableAIAgentClient
def create_dts_client(endpoint: str, taskhub: str) -> DurableTaskSchedulerClient:
"""
Create a DurableTaskSchedulerClient with common configuration.
Args:
endpoint: The DTS endpoint address
taskhub: The task hub name
Returns:
A configured DurableTaskSchedulerClient instance
"""
return DurableTaskSchedulerClient(
host_address=endpoint,
secure_channel=False,
taskhub=taskhub,
token_credential=None,
)
def create_agent_client(
endpoint: str,
taskhub: str,
max_poll_retries: int = 90,
) -> tuple[DurableTaskSchedulerClient, DurableAIAgentClient]:
"""
Create a DurableAIAgentClient with the underlying DTS client.
Args:
endpoint: The DTS endpoint address
taskhub: The task hub name
max_poll_retries: Max poll retries for the agent client
Returns:
A tuple of (DurableTaskSchedulerClient, DurableAIAgentClient)
"""
dts_client = create_dts_client(endpoint, taskhub)
agent_client = DurableAIAgentClient(dts_client, max_poll_retries=max_poll_retries)
return dts_client, agent_client
class OrchestrationHelper:
"""Helper class for orchestration-related test operations."""
def __init__(self, dts_client: DurableTaskSchedulerClient):
"""
Initialize the orchestration helper.
Args:
dts_client: The DurableTaskSchedulerClient instance to use
"""
self.client = dts_client
def wait_for_orchestration(
self,
instance_id: str,
timeout: float = 60.0,
) -> Any:
"""
Wait for an orchestration to complete.
Args:
instance_id: The orchestration instance ID
timeout: Maximum time to wait in seconds
Returns:
The final OrchestrationMetadata
Raises:
TimeoutError: If the orchestration doesn't complete within timeout
RuntimeError: If the orchestration fails
"""
# Use the built-in wait_for_orchestration_completion method
metadata = self.client.wait_for_orchestration_completion(
instance_id=instance_id,
timeout=int(timeout),
)
if metadata is None:
raise TimeoutError(f"Orchestration {instance_id} did not complete within {timeout} seconds")
# Check if failed or terminated
if metadata.runtime_status == OrchestrationStatus.FAILED:
raise RuntimeError(f"Orchestration {instance_id} failed: {metadata.serialized_custom_status}")
if metadata.runtime_status == OrchestrationStatus.TERMINATED:
raise RuntimeError(f"Orchestration {instance_id} was terminated")
return metadata
def wait_for_orchestration_with_output(
self,
instance_id: str,
timeout: float = 60.0,
) -> tuple[Any, Any]:
"""
Wait for an orchestration to complete and return its output.
Args:
instance_id: The orchestration instance ID
timeout: Maximum time to wait in seconds
Returns:
A tuple of (OrchestrationMetadata, output)
Raises:
TimeoutError: If the orchestration doesn't complete within timeout
RuntimeError: If the orchestration fails
"""
metadata = self.wait_for_orchestration(instance_id, timeout)
# The output should be available in the metadata
return metadata, metadata.serialized_output
def get_orchestration_status(self, instance_id: str) -> Any | None:
"""
Get the current status of an orchestration.
Args:
instance_id: The orchestration instance ID
Returns:
The OrchestrationMetadata or None if not found
"""
try:
# Try to wait with a short timeout to get current status
return self.client.wait_for_orchestration_completion(
instance_id=instance_id,
timeout=1, # Very short timeout, just checking status
)
except Exception:
return None
def raise_event(
self,
instance_id: str,
event_name: str,
event_data: Any = None,
) -> None:
"""
Raise an external event to an orchestration.
Args:
instance_id: The orchestration instance ID
event_name: The name of the event
event_data: The event data payload
"""
self.client.raise_orchestration_event(instance_id, event_name, data=event_data)
def wait_for_notification(self, instance_id: str, timeout_seconds: int = 30) -> bool:
"""Wait for the orchestration to reach a notification point.
Polls the orchestration status until it appears to be waiting for approval.
Args:
instance_id: The orchestration instance ID
timeout_seconds: Maximum time to wait
Returns:
True if notification detected, False if timeout
"""
start_time = time.time()
while time.time() - start_time < timeout_seconds:
try:
metadata = self.client.get_orchestration_state(
instance_id=instance_id,
)
if metadata:
# Check if we're waiting for approval by examining custom status
if metadata.serialized_custom_status:
try:
custom_status = json.loads(metadata.serialized_custom_status)
# Handle both string and dict custom status
status_str = custom_status if isinstance(custom_status, str) else str(custom_status)
if status_str.lower().startswith("requesting human feedback"):
return True
except (json.JSONDecodeError, AttributeError):
# If it's not JSON, treat as plain string
if metadata.serialized_custom_status.lower().startswith("requesting human feedback"):
return True
# Check for terminal states
if metadata.runtime_status.name == "COMPLETED" or metadata.runtime_status.name == "FAILED":
return False
except Exception:
# Silently ignore transient errors during polling (e.g., network issues, service unavailable).
# The loop will retry until timeout, allowing the service to recover.
pass
time.sleep(1)
return False
@@ -0,0 +1,89 @@
# Copyright (c) Microsoft. All rights reserved.
"""Integration tests for single agent functionality.
Tests basic agent operations including:
- Agent registration and retrieval
- Single agent interactions
- Conversation continuity across multiple messages
- Multi-threaded agent usage
- Empty thread ID handling
"""
from typing import Any
import pytest
from dt_testutils import create_agent_client
# Module-level markers - applied to all tests in this module
pytestmark = [
pytest.mark.sample("01_single_agent"),
pytest.mark.integration_test,
pytest.mark.requires_azure_openai,
pytest.mark.requires_dts,
]
class TestSingleAgent:
"""Test suite for single agent functionality."""
@pytest.fixture(autouse=True)
def setup(self, worker_process: dict[str, Any], dts_endpoint: str) -> None:
"""Setup test fixtures."""
self.endpoint: str = dts_endpoint
self.taskhub: str = str(worker_process["taskhub"])
# Create agent client
_, self.agent_client = create_agent_client(self.endpoint, self.taskhub)
def test_agent_registration(self) -> None:
"""Test that the Joker agent is registered and accessible."""
agent = self.agent_client.get_agent("Joker")
assert agent is not None
assert agent.name == "Joker"
def test_single_interaction(self):
"""Test a single interaction with the agent."""
agent = self.agent_client.get_agent("Joker")
thread = agent.get_new_thread()
response = agent.run("Tell me a short joke about programming.", thread=thread)
assert response is not None
assert response.text is not None
assert len(response.text) > 0
def test_conversation_continuity(self):
"""Test that conversation context is maintained across turns."""
agent = self.agent_client.get_agent("Joker")
thread = agent.get_new_thread()
# First turn: Ask for a joke about a specific topic
response1 = agent.run("Tell me a joke about cats.", thread=thread)
assert response1 is not None
assert len(response1.text) > 0
# Second turn: Ask a follow-up that requires context
response2 = agent.run("Can you make it funnier?", thread=thread)
assert response2 is not None
assert len(response2.text) > 0
# The agent should understand "it" refers to the previous joke
def test_multiple_threads(self):
"""Test that different threads maintain separate contexts."""
agent = self.agent_client.get_agent("Joker")
# Create two separate threads
thread1 = agent.get_new_thread()
thread2 = agent.get_new_thread()
assert thread1.session_id != thread2.session_id
# Send different messages to each thread
response1 = agent.run("Tell me a joke about dogs.", thread=thread1)
response2 = agent.run("Tell me a joke about birds.", thread=thread2)
assert response1 is not None
assert response2 is not None
assert response1.text != response2.text
@@ -0,0 +1,103 @@
# Copyright (c) Microsoft. All rights reserved.
"""Integration tests for multi-agent functionality.
Tests operations with multiple specialized agents:
- Multiple agent registration
- Agent-specific tool usage
- Independent thread management per agent
- Concurrent agent operations
- Agent isolation and tool routing
"""
from typing import Any
import pytest
from dt_testutils import create_agent_client
# Agent names from the 02_multi_agent sample
WEATHER_AGENT_NAME: str = "WeatherAgent"
MATH_AGENT_NAME: str = "MathAgent"
# Module-level markers - applied to all tests in this module
pytestmark = [
pytest.mark.sample("02_multi_agent"),
pytest.mark.integration_test,
pytest.mark.requires_azure_openai,
pytest.mark.requires_dts,
]
class TestMultiAgent:
"""Test suite for multi-agent functionality."""
@pytest.fixture(autouse=True)
def setup(self, worker_process: dict[str, Any], dts_endpoint: str) -> None:
"""Setup test fixtures."""
self.endpoint: str = dts_endpoint
self.taskhub: str = str(worker_process["taskhub"])
# Create agent client
_, self.agent_client = create_agent_client(self.endpoint, self.taskhub)
def test_multiple_agents_registered(self) -> None:
"""Test that both agents are registered and accessible."""
weather_agent = self.agent_client.get_agent(WEATHER_AGENT_NAME)
math_agent = self.agent_client.get_agent(MATH_AGENT_NAME)
assert weather_agent is not None
assert weather_agent.name == WEATHER_AGENT_NAME
assert math_agent is not None
assert math_agent.name == MATH_AGENT_NAME
def test_weather_agent_with_tool(self):
"""Test weather agent with weather tool execution."""
agent = self.agent_client.get_agent(WEATHER_AGENT_NAME)
thread = agent.get_new_thread()
response = agent.run("What's the weather in Seattle?", thread=thread)
assert response is not None
assert response.text is not None
# Should contain weather information from the tool
assert len(response.text) > 0
# Verify that the get_weather tool was actually invoked
tool_calls = [
content for msg in response.messages for content in msg.contents if content.type == "function_call"
]
assert len(tool_calls) > 0, "Expected at least one tool call"
assert any(call.name == "get_weather" for call in tool_calls), "Expected get_weather tool to be called"
def test_math_agent_with_tool(self):
"""Test math agent with calculation tool execution."""
agent = self.agent_client.get_agent(MATH_AGENT_NAME)
thread = agent.get_new_thread()
response = agent.run("Calculate a 20% tip on a $50 bill.", thread=thread)
assert response is not None
assert response.text is not None
# Should contain calculation results from the tool
assert len(response.text) > 0
# Verify that the calculate_tip tool was actually invoked
tool_calls = [
content for msg in response.messages for content in msg.contents if content.type == "function_call"
]
assert len(tool_calls) > 0, "Expected at least one tool call"
assert any(call.name == "calculate_tip" for call in tool_calls), "Expected calculate_tip tool to be called"
def test_multiple_calls_to_same_agent(self):
"""Test multiple sequential calls to the same agent."""
agent = self.agent_client.get_agent(WEATHER_AGENT_NAME)
thread = agent.get_new_thread()
# Multiple weather queries
response1 = agent.run("What's the weather in Chicago?", thread=thread)
response2 = agent.run("And what about Los Angeles?", thread=thread)
assert response1 is not None
assert response2 is not None
assert len(response1.text) > 0
assert len(response2.text) > 0
@@ -0,0 +1,226 @@
# Copyright (c) Microsoft. All rights reserved.
"""
Integration Tests for Reliable Streaming Sample
Tests the reliable streaming sample using Redis Streams for persistent message delivery.
The worker process is automatically started by the test fixture.
Prerequisites:
- Azure OpenAI credentials configured (see packages/durabletask/tests/integration_tests/.env.example)
- DTS emulator running (docker run -d -p 8080:8080 mcr.microsoft.com/durabletask/emulator:latest)
- Redis running (docker run -d --name redis -p 6379:6379 redis:latest)
Usage:
uv run pytest packages/durabletask/tests/integration_tests/test_03_single_agent_streaming.py -v
"""
import asyncio
import os
import sys
import time
from datetime import timedelta
from pathlib import Path
from typing import Any
import pytest
import redis.asyncio as aioredis
from dt_testutils import OrchestrationHelper, create_agent_client
# Add sample directory to path to import RedisStreamResponseHandler
SAMPLE_DIR = Path(__file__).parents[4] / "samples" / "getting_started" / "durabletask" / "03_single_agent_streaming"
sys.path.insert(0, str(SAMPLE_DIR))
from redis_stream_response_handler import RedisStreamResponseHandler # type: ignore[reportMissingImports] # noqa: E402
# Module-level markers - applied to all tests in this file
pytestmark = [
pytest.mark.sample("03_single_agent_streaming"),
pytest.mark.integration_test,
pytest.mark.requires_azure_openai,
pytest.mark.requires_dts,
pytest.mark.requires_redis,
]
class TestSampleReliableStreaming:
"""Tests for 03_single_agent_streaming sample."""
@pytest.fixture(autouse=True)
def setup(self, worker_process: dict[str, Any], dts_endpoint: str) -> None:
"""Setup test fixtures."""
self.endpoint: str = dts_endpoint
self.taskhub: str = str(worker_process["taskhub"])
# Create agent client
dts_client, self.agent_client = create_agent_client(self.endpoint, self.taskhub)
self.helper = OrchestrationHelper(dts_client)
# Redis configuration
self.redis_connection_string = os.environ.get("REDIS_CONNECTION_STRING", "redis://localhost:6379")
self.redis_stream_ttl_minutes = int(os.environ.get("REDIS_STREAM_TTL_MINUTES", "10"))
async def _get_stream_handler(self) -> RedisStreamResponseHandler: # type: ignore[reportMissingTypeStubs]
"""Create a new Redis stream handler for each request."""
redis_client = aioredis.from_url( # type: ignore[reportUnknownMemberType]
self.redis_connection_string,
encoding="utf-8",
decode_responses=False,
)
return RedisStreamResponseHandler( # type: ignore[reportUnknownMemberType]
redis_client=redis_client,
stream_ttl=timedelta(minutes=self.redis_stream_ttl_minutes),
)
async def _stream_from_redis(
self,
thread_id: str,
cursor: str | None = None,
timeout: float = 30.0,
) -> tuple[str, bool, str]:
"""
Stream responses from Redis using the sample's RedisStreamResponseHandler.
Args:
thread_id: The conversation/thread ID to stream from
cursor: Optional cursor to resume from
timeout: Maximum time to wait for stream completion
Returns:
Tuple of (accumulated text, completion status, last entry_id)
"""
accumulated_text = ""
is_complete = False
last_entry_id = cursor if cursor else "0-0"
start_time = time.time()
async with await self._get_stream_handler() as stream_handler: # type: ignore[reportUnknownMemberType]
try:
async for chunk in stream_handler.read_stream(thread_id, cursor): # type: ignore[reportUnknownMemberType]
if time.time() - start_time > timeout:
break
last_entry_id = chunk.entry_id # type: ignore[reportUnknownMemberType]
if chunk.error: # type: ignore[reportUnknownMemberType]
# Stream not found or timeout - this is expected if agent hasn't written yet
# Don't raise an error, just return what we have
break
if chunk.is_done: # type: ignore[reportUnknownMemberType]
is_complete = True
break
if chunk.text: # type: ignore[reportUnknownMemberType]
accumulated_text += chunk.text # type: ignore[reportUnknownMemberType]
except Exception as ex:
# For test purposes, we catch exceptions and return what we have
if "timed out" not in str(ex).lower():
raise
return accumulated_text, is_complete, last_entry_id # type: ignore[reportReturnType]
def test_agent_run_and_stream(self) -> None:
"""Test agent execution with Redis streaming."""
# Get the TravelPlanner agent
travel_planner = self.agent_client.get_agent("TravelPlanner")
assert travel_planner is not None
assert travel_planner.name == "TravelPlanner"
# Create a new thread
thread = travel_planner.get_new_thread()
assert thread.session_id is not None
assert thread.session_id.key is not None
thread_id = str(thread.session_id.key)
# Start agent run with wait_for_response=False for non-blocking execution
travel_planner.run(
"Plan a 1-day trip to Seattle in 1 sentence", thread=thread, options={"wait_for_response": False}
)
# Poll Redis stream with retries to handle race conditions
# The agent may take a few seconds to process and start writing to Redis
# We use cursor-based resumption to continue reading from where we left off
max_retries = 20
retry_count = 0
accumulated_text = ""
is_complete = False
cursor: str | None = None
while retry_count < max_retries and not is_complete:
text, is_complete, last_cursor = asyncio.run(
self._stream_from_redis(thread_id, cursor=cursor, timeout=10.0)
)
accumulated_text += text
cursor = last_cursor # Resume from last position on next read
if is_complete:
# Stream completed successfully
break
if len(accumulated_text) > 0:
# Got content but not completion marker yet - keep reading without delay
# The agent may still be streaming or about to write completion marker
continue
# No content yet - wait before retrying
time.sleep(2)
retry_count += 1
# Verify we got content
assert len(accumulated_text) > 0, (
f"Expected text content but got empty string for thread_id: {thread_id} after {retry_count} retries"
)
assert "seattle" in accumulated_text.lower(), f"Expected 'seattle' in response but got: {accumulated_text}"
assert is_complete, "Expected stream to be complete"
def test_stream_with_cursor_resumption(self) -> None:
"""Test streaming with cursor-based resumption."""
# Get the TravelPlanner agent
travel_planner = self.agent_client.get_agent("TravelPlanner")
thread = travel_planner.get_new_thread()
assert thread.session_id is not None
assert thread.session_id.key is not None
thread_id = str(thread.session_id.key)
# Start agent run
travel_planner.run("What's the weather like?", thread=thread, options={"wait_for_response": False})
# Wait for agent to start writing
time.sleep(3)
# Read partial stream to get a cursor
async def get_partial_stream() -> tuple[str, str]:
async with await self._get_stream_handler() as stream_handler: # type: ignore[reportUnknownMemberType]
accumulated_text = ""
last_entry_id = "0-0"
chunk_count = 0
# Read just first 2 chunks
async for chunk in stream_handler.read_stream(thread_id): # type: ignore[reportUnknownMemberType]
last_entry_id = chunk.entry_id # type: ignore[reportUnknownMemberType]
if chunk.text: # type: ignore[reportUnknownMemberType]
accumulated_text += chunk.text # type: ignore[reportUnknownMemberType]
chunk_count += 1
if chunk_count >= 2:
break
return accumulated_text, last_entry_id # type: ignore[reportReturnType]
partial_text, cursor = asyncio.run(get_partial_stream())
# Resume from cursor
remaining_text, _, _ = asyncio.run(self._stream_from_redis(thread_id, cursor=cursor))
# Verify we got some initial content
assert len(partial_text) > 0
# Combined text should be coherent
full_text = partial_text + remaining_text
assert len(full_text) > 0
if __name__ == "__main__":
pytest.main([__file__, "-v"])
@@ -0,0 +1,105 @@
# Copyright (c) Microsoft. All rights reserved.
"""Integration tests for single agent orchestration with chaining.
Tests orchestration patterns with sequential agent calls:
- Orchestration registration and execution
- Sequential agent calls on same thread
- Conversation continuity in orchestrations
- Thread context preservation
"""
import json
import logging
from typing import Any
import pytest
from dt_testutils import OrchestrationHelper, create_agent_client
from durabletask.client import OrchestrationStatus
# Agent name from the 04_single_agent_orchestration_chaining sample
WRITER_AGENT_NAME: str = "WriterAgent"
# Configure logging
logging.basicConfig(level=logging.WARNING)
# Module-level markers - applied to all tests in this module
pytestmark = [
pytest.mark.sample("04_single_agent_orchestration_chaining"),
pytest.mark.integration_test,
pytest.mark.requires_azure_openai,
pytest.mark.requires_dts,
]
class TestSingleAgentOrchestrationChaining:
"""Test suite for single agent orchestration with chaining."""
@pytest.fixture(autouse=True)
def setup(self, worker_process: dict[str, Any], dts_endpoint: str) -> None:
"""Setup test fixtures."""
self.endpoint: str = dts_endpoint
self.taskhub: str = str(worker_process["taskhub"])
# Create agent client and DTS client
self.dts_client, self.agent_client = create_agent_client(self.endpoint, self.taskhub)
# Create orchestration helper
self.orch_helper = OrchestrationHelper(self.dts_client)
def test_agent_registered(self):
"""Test that the Writer agent is registered."""
agent = self.agent_client.get_agent(WRITER_AGENT_NAME)
assert agent is not None
assert agent.name == WRITER_AGENT_NAME
def test_chaining_context_preserved(self):
"""Test that context is preserved across agent runs in orchestration."""
# Start the orchestration
instance_id = self.dts_client.schedule_new_orchestration(
orchestrator="single_agent_chaining_orchestration",
input="",
)
# Wait for completion with output
metadata, output = self.orch_helper.wait_for_orchestration_with_output(
instance_id=instance_id,
timeout=120.0,
)
assert metadata is not None
assert output is not None
# The final output should be a refined sentence
final_text = json.loads(output)
# Should be a meaningful sentence (not empty or error message)
assert len(final_text) > 10
assert not final_text.startswith("Error")
def test_multiple_orchestration_instances(self):
"""Test that multiple orchestration instances can run independently."""
# Start two orchestrations
instance_id_1 = self.dts_client.schedule_new_orchestration(
orchestrator="single_agent_chaining_orchestration",
input="",
)
instance_id_2 = self.dts_client.schedule_new_orchestration(
orchestrator="single_agent_chaining_orchestration",
input="",
)
assert instance_id_1 != instance_id_2
# Both should complete
metadata_1 = self.orch_helper.wait_for_orchestration(
instance_id=instance_id_1,
timeout=120.0,
)
metadata_2 = self.orch_helper.wait_for_orchestration(
instance_id=instance_id_2,
timeout=120.0,
)
assert metadata_1.runtime_status == OrchestrationStatus.COMPLETED
assert metadata_2.runtime_status == OrchestrationStatus.COMPLETED
@@ -0,0 +1,81 @@
# Copyright (c) Microsoft. All rights reserved.
"""Integration tests for multi-agent orchestration with concurrency.
Tests concurrent execution patterns:
- Parallel agent execution
- Concurrent orchestration tasks
- Independent thread management in parallel
- Result aggregation from concurrent calls
"""
import json
import logging
from typing import Any
import pytest
from dt_testutils import OrchestrationHelper, create_agent_client
from durabletask.client import OrchestrationStatus
# Agent names from the 05_multi_agent_orchestration_concurrency sample
PHYSICIST_AGENT_NAME: str = "PhysicistAgent"
CHEMIST_AGENT_NAME: str = "ChemistAgent"
# Configure logging
logging.basicConfig(level=logging.WARNING)
# Module-level markers
pytestmark = [
pytest.mark.sample("05_multi_agent_orchestration_concurrency"),
pytest.mark.integration_test,
pytest.mark.requires_dts,
]
class TestMultiAgentOrchestrationConcurrency:
"""Test suite for multi-agent orchestration with concurrency."""
@pytest.fixture(autouse=True)
def setup(self, worker_process: dict[str, Any], dts_endpoint: str) -> None:
"""Setup test fixtures."""
self.endpoint = dts_endpoint
self.taskhub = worker_process["taskhub"]
# Create agent client and DTS client
self.dts_client, self.agent_client = create_agent_client(self.endpoint, self.taskhub)
# Create orchestration helper
self.orch_helper = OrchestrationHelper(self.dts_client)
def test_agents_registered(self):
"""Test that both agents are registered."""
physicist = self.agent_client.get_agent(PHYSICIST_AGENT_NAME)
chemist = self.agent_client.get_agent(CHEMIST_AGENT_NAME)
assert physicist is not None
assert physicist.name == PHYSICIST_AGENT_NAME
assert chemist is not None
assert chemist.name == CHEMIST_AGENT_NAME
def test_different_prompts(self):
"""Test concurrent orchestration with different prompts."""
prompts = [
"What is temperature?",
"Explain molecules.",
]
for prompt in prompts:
instance_id = self.dts_client.schedule_new_orchestration(
orchestrator="multi_agent_concurrent_orchestration",
input=prompt,
)
metadata, output = self.orch_helper.wait_for_orchestration_with_output(
instance_id=instance_id,
timeout=120.0,
)
assert metadata.runtime_status == OrchestrationStatus.COMPLETED
result = json.loads(output)
assert "physicist" in result
assert "chemist" in result
@@ -0,0 +1,95 @@
# Copyright (c) Microsoft. All rights reserved.
"""Integration tests for multi-agent orchestration with conditionals.
Tests conditional orchestration patterns:
- Conditional branching in orchestrations
- Agent-based decision making
- Activity function execution
- Structured output handling
- Conditional routing based on agent responses
"""
import logging
from typing import Any
import pytest
from dt_testutils import OrchestrationHelper, create_agent_client
from durabletask.client import OrchestrationStatus
# Agent names from the 06_multi_agent_orchestration_conditionals sample
SPAM_AGENT_NAME: str = "SpamDetectionAgent"
EMAIL_AGENT_NAME: str = "EmailAssistantAgent"
# Configure logging
logging.basicConfig(level=logging.WARNING)
# Module-level markers
pytestmark = [
pytest.mark.sample("06_multi_agent_orchestration_conditionals"),
pytest.mark.integration_test,
pytest.mark.requires_dts,
]
class TestMultiAgentOrchestrationConditionals:
"""Test suite for multi-agent orchestration with conditionals."""
@pytest.fixture(autouse=True)
def setup(self, worker_process: dict[str, Any], dts_endpoint: str) -> None:
"""Setup test fixtures."""
self.endpoint: str = dts_endpoint
self.taskhub: str = str(worker_process["taskhub"])
# Create agent client and DTS client
self.dts_client, self.agent_client = create_agent_client(self.endpoint, self.taskhub)
# Create orchestration helper
self.orch_helper = OrchestrationHelper(self.dts_client)
def test_agents_registered(self):
"""Test that both agents are registered."""
spam_agent = self.agent_client.get_agent(SPAM_AGENT_NAME)
email_agent = self.agent_client.get_agent(EMAIL_AGENT_NAME)
assert spam_agent is not None
assert spam_agent.name == SPAM_AGENT_NAME
assert email_agent is not None
assert email_agent.name == EMAIL_AGENT_NAME
def test_conditional_branching(self):
"""Test that conditional branching works correctly."""
# Test with obvious spam
spam_payload = {
"email_id": "spam-001",
"email_content": "Buy cheap medications online! No prescription needed! Limited time offer!",
}
spam_instance_id = self.dts_client.schedule_new_orchestration(
orchestrator="spam_detection_orchestration",
input=spam_payload,
)
# Test with legitimate email
legit_payload = {
"email_id": "legit-001",
"email_content": "Hi team, please review the attached document before our meeting tomorrow.",
}
legit_instance_id = self.dts_client.schedule_new_orchestration(
orchestrator="spam_detection_orchestration",
input=legit_payload,
)
# Both should complete successfully (different branches)
spam_metadata = self.orch_helper.wait_for_orchestration(
instance_id=spam_instance_id,
timeout=120.0,
)
legit_metadata = self.orch_helper.wait_for_orchestration(
instance_id=legit_instance_id,
timeout=120.0,
)
assert spam_metadata.runtime_status == OrchestrationStatus.COMPLETED
assert legit_metadata.runtime_status == OrchestrationStatus.COMPLETED
@@ -0,0 +1,170 @@
# Copyright (c) Microsoft. All rights reserved.
"""Integration tests for single agent orchestration with human-in-the-loop.
Tests human-in-the-loop (HITL) patterns:
- External event waiting and handling
- Timeout handling in orchestrations
- Iterative refinement with human feedback
- Activity function integration
- Approval workflow patterns
"""
import logging
from typing import Any
import pytest
from dt_testutils import OrchestrationHelper, create_agent_client
from durabletask.client import OrchestrationStatus
# Constants from the 07_single_agent_orchestration_hitl sample
WRITER_AGENT_NAME: str = "WriterAgent"
HUMAN_APPROVAL_EVENT: str = "HumanApproval"
# Configure logging
logging.basicConfig(level=logging.WARNING)
# Module-level markers
pytestmark = [
pytest.mark.sample("07_single_agent_orchestration_hitl"),
pytest.mark.integration_test,
pytest.mark.requires_dts,
]
class TestSingleAgentOrchestrationHITL:
"""Test suite for single agent orchestration with human-in-the-loop."""
@pytest.fixture(autouse=True)
def setup(self, worker_process: dict[str, Any], dts_endpoint: str) -> None:
"""Setup test fixtures."""
self.endpoint: str = str(worker_process["endpoint"])
self.taskhub: str = str(worker_process["taskhub"])
logging.info(f"Using taskhub: {self.taskhub} at endpoint: {self.endpoint}")
# Create agent client and DTS client
self.dts_client, self.agent_client = create_agent_client(self.endpoint, self.taskhub)
# Create orchestration helper
self.orch_helper = OrchestrationHelper(self.dts_client)
def test_agent_registered(self):
"""Test that the Writer agent is registered."""
agent = self.agent_client.get_agent(WRITER_AGENT_NAME)
assert agent is not None
assert agent.name == WRITER_AGENT_NAME
def test_hitl_orchestration_with_approval(self):
"""Test HITL orchestration with immediate approval."""
payload = {
"topic": "The benefits of continuous learning",
"max_review_attempts": 3,
"approval_timeout_seconds": 60,
}
# Start the orchestration
instance_id = self.dts_client.schedule_new_orchestration(
orchestrator="content_generation_hitl_orchestration",
input=payload,
)
assert instance_id is not None
# Wait for orchestration to reach notification point
notification_received = self.orch_helper.wait_for_notification(instance_id, timeout_seconds=90)
assert notification_received, "Failed to receive notification from orchestration"
# Send approval event
approval_data = {"approved": True, "feedback": ""}
self.orch_helper.raise_event(
instance_id=instance_id,
event_name=HUMAN_APPROVAL_EVENT,
event_data=approval_data,
)
# Wait for completion
metadata = self.orch_helper.wait_for_orchestration(
instance_id=instance_id,
timeout=90.0,
)
assert metadata is not None
assert metadata.runtime_status == OrchestrationStatus.COMPLETED
def test_hitl_orchestration_with_rejection_and_feedback(self):
"""Test HITL orchestration with rejection and iterative refinement."""
payload = {
"topic": "Artificial Intelligence in healthcare",
"max_review_attempts": 3,
"approval_timeout_seconds": 60,
}
# Start the orchestration
instance_id = self.dts_client.schedule_new_orchestration(
orchestrator="content_generation_hitl_orchestration",
input=payload,
)
# Wait for orchestration to reach notification point
notification_received = self.orch_helper.wait_for_notification(instance_id, timeout_seconds=90)
assert notification_received, "Failed to receive notification from orchestration"
# First rejection with feedback
rejection_data = {
"approved": False,
"feedback": "Please make it more concise and add specific examples.",
}
self.orch_helper.raise_event(
instance_id=instance_id,
event_name=HUMAN_APPROVAL_EVENT,
event_data=rejection_data,
)
# Wait for orchestration to refine and reach notification point again
notification_received = self.orch_helper.wait_for_notification(instance_id, timeout_seconds=90)
assert notification_received, "Failed to receive notification after refinement"
# Second approval
approval_data = {"approved": True, "feedback": ""}
self.orch_helper.raise_event(
instance_id=instance_id,
event_name=HUMAN_APPROVAL_EVENT,
event_data=approval_data,
)
# Wait for completion
metadata = self.orch_helper.wait_for_orchestration(
instance_id=instance_id,
timeout=90.0,
)
assert metadata is not None
assert metadata.runtime_status == OrchestrationStatus.COMPLETED
def test_hitl_orchestration_timeout(self):
"""Test HITL orchestration timeout behavior."""
payload = {
"topic": "Cloud computing fundamentals",
"max_review_attempts": 1,
"approval_timeout_seconds": 0.1, # Short timeout for testing
}
# Start the orchestration
instance_id = self.dts_client.schedule_new_orchestration(
orchestrator="content_generation_hitl_orchestration",
input=payload,
)
# Don't send any approval - let it timeout
# The orchestration should fail due to timeout
try:
metadata = self.orch_helper.wait_for_orchestration(
instance_id=instance_id,
timeout=90.0,
)
# If it completes, it should be failed status due to timeout
assert metadata.runtime_status == OrchestrationStatus.FAILED
except (RuntimeError, TimeoutError):
# Expected - orchestration should timeout and fail
pass