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Author SHA1 Message Date
Laveesh RohraandGitHub 1f8463f9bb Update code owners (#3491) 2026-01-28 20:58:18 +00:00
75a8335af5 .NET - [Breaking]: Update Declarative Object Model + Dependencies (#3017)
* Builds locally and tests pass

* Fix typo

* Reverted nuget config change to remove internal feed and map to new public object model package with renames.

* Renaming Bot object model in additional sample.

---------

Co-authored-by: Peter Ibekwe <peibekwe@microsoft.com>
2026-01-28 20:00:37 +00:00
Dmytro StrukandGitHub 45a020be43 .NET: Python: [BREAKING] Renamed Github to GitHub (#3486)
* Renamed Github to GitHub

* Small fix

* Updated package versions
2026-01-28 19:58:31 +00:00
Roger BarretoandGitHub fa74f27030 .Net: Adding copilot cli to the codespaces definition (#3479)
* Adding copilot cli to the codespace definition

* Update tools

* Remove unecessary tools
2026-01-28 18:46:26 +00:00
Tao ChenandGitHub 739edc7307 [BREAKING] Python: Add factory pattern to GroupChat and Magentic (#3224)
* group chat

* magentic

* Fix tests

* AI comments

* Unifiy error message and add warning

* misc

* Add overload

* Collapse orchestrator params
2026-01-28 17:00:20 +00:00
Eduard van ValkenburgandGitHub a7d924a7d2 Python: [BREAKING] changed AIFunction to FunctionTool and @ai_function to @tool (#3413)
* changed AIFunction to FunctionTool and @ai_function to @tool

* test and mypy fixes

* mypy fix

* switch function tool to always_require

* fix noop

* fix github copilot imports

* test fixes

* fix ollama test

* fixes for tests

* fix tests

* reverted change to always_require and extended timeout

* fix test
2026-01-28 14:53:53 +00:00
CopilotGitHubrogerbarretocopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
15b43f2abe .NET: Improve unit test coverage for Microsoft.Agents.AI.AzureAI to 85.6% (#3383)
* Initial plan

* Add unit tests to improve Microsoft.Agents.AI.AzureAI coverage to 85.6%

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

* Fix pragma warning placement for CA1812 per code review feedback

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

* Fix ValueTask.CompletedTask for net472 compatibility by using default

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

* Merge AzureAIProjectChatClientExtensionsCoverageTests into AzureAIProjectChatClientExtensionsTests

* Update tests to use renamed ChatHistoryProvider instead of ChatMessageStore

* Simplify type names in TestChatHistoryProvider to fix IDE0001

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
2026-01-28 11:54:25 +00:00
Jacob AlberandGitHub 4245561013 .NET: Add tests for subworkflow shared state behavior (#3444)
Adds tests documenting current shared state behavior in subworkflows:

- State works correctly within a subworkflow

- State is isolated across parent/subworkflow boundaries

Related to #2419
2026-01-27 21:45:27 +00:00
+44 787becfc9f 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

---------

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

---------

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

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

* Added an example of using kwargs in ai_function

* Added thread object to ai_function kwargs

* Updated docs

* Small fix

* Added thread parameter filtering

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

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

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

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

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

* Revert concurrent

* Fix comments

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

* Filter framework kwargs from MCP tool invocations

* Fixes

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

* Fix WorkflowAgent to emit yield_output as agent response

* use raw_representation

* Raw representation handling

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

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

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

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

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

Fixes #2713

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

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

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

* WIP on updates using configure_azure_monitor

* improved setup and clarity

* fixed root .env.example

* revert changes

* updated files

* updated sample

* updated zero code

* test fixes and fixed links

* fix devui

* removed planning docs

* added enable method and updated readme and samples

* clarified docstring

* add return annotation

* updated naming

* update capatilized version

* updated readme and some fixes

* updated decorator name inline with the rest

* feedback from comments addressed

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

* Fix middleware terminate flag to exit function calling loop immediately

* Eliminating duck typing

* Improve function exec result handling

* Fix race condition

* Fix mypy issues

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

* Fix context duplication in handoff workflows when restoring from checkpoint

* Address Copilot PR review

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

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

Absorb breaking changes in Responses surface area

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

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

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

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

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

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

---------

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

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

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

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

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

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

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

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

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

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

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

* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

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

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

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

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

* Update python/packages/ollama/pyproject.toml

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

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

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

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

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

* Improved Docstrings & Sample

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

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

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

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

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

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

* Integrated Copilot Feedback

* Implement first PR Feedback

* Adjust Readme files for examples

* Adjust argument passing via additional chat options

* Implemented PR Feedback

* Removing Ollama Package from Core and moving samples

* Fix Link & Adding Samples to Main Sample Readme

* Fixing Links in Readme

* Moved Multimodal and Chat Example

* Fixed Link in ChatClient to Ollama

* Fix AgentFramework Links in Ollama Project

* Fix observability breaking change

---------

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

* Skip failing IT (#2904)

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

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

* Force a CosmosDB source code change to trigger the pipeline

* Address possible string boolean mismatch

* Add debug

* Enabling emulator always when running IT

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

* .NET: Add TTLs to durable agent sessions

* Remove unnecessary async

* PR feedback: clarify UTC

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

* PR feedback: Fix TTL disablement

* Linter: use auto-property

* Fix build break from OpenAI SDK change

* Updated CHANGELOG.md

* PR feedback

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

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

* short fix to move id parameters to filters object

* added tests

* small fix

* mem0 dependency update

* Updated package versions (#2913)

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

* Switch to new "RunAgent" method name.

* Try to disable false positive naming warning.

* Add comment about disabled warnings.

* Rename `RunAgent` to just `Run`.

* Update CHANGELOG.

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

* Switch to `run` method.

* Add support for deprecated `run_agent`.

* Fix entity method name.

* Fix method name and improve tests.

* Update comment.

* Update Python CHANGELOG.

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

* WIP: Factory pattern to handoff

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

* Add tests and improve comments

* Fix mypy

* Simplify handoff_simple.py

* Simplify handoff_autonoumous.py and bug fix

* Update readme

* Address Copilot comments

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

* Flow custom kwargs to agents via SharedState

* Address Copilot feedback

* Improve sample typing

* Fix test

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

* Updated Ollama package version (#2920)

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

* bing grounding sample with citations

* small fix

* fix

* .NET: Make DelegatingAIAgent abstract (#2797)

* Initial plan

* Make DelegatingAIAgent abstract

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

---------

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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>

---------

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

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

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

* set tool_choice to auto

* fix for mypy

* added note on naming and fix #2951

* fix responses

* fixes in azure ai agents client

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

* Workflow add option to visualize internal executors

* Address Copilot comments

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

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

* fixed per copilot suggestions

* Python: Add workflow cancellation sample (#2732)

* Add workflow cancellation sample

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

* update docstring

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

* Initial plan

* Update Anthropic package to version 12.0.0

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

---------

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

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

* azure redis support

* small fixes

* azure managed redis sample

* fixes

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

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

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

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

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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

---------

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* .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

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---------

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* 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

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* Fix infinite recursion in test implementations

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* Make RunAsync and RunStreamingAsync non-virtual as requested

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* Fix DelegatingAIAgent subclasses to use RunCoreAsync/RunCoreStreamingAsync

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* Fix XML documentation references in AnonymousDelegatingAIAgent

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

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* Rollback unnecessary XML documentation changes in AnonymousDelegatingAIAgent

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* Remove pragma and update crefs to RunCoreAsync/RunCoreStreamingAsync

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* Fix EntityAgentWrapper to call base.RunCoreAsync/RunCoreStreamingAsync

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* fix compilation issues

* fix compilatio issue

* fix tests

* fix unit tests

* fix unit test

---------

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* Remove from feature branch

* Remove ollama changes

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* 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

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

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

* Unify label in EdgeData

* Edge API adjustments, removed useless "sanitizer"

* fixed test

---------

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

* Added an example of using kwargs in ai_function

* Added thread object to ai_function kwargs

* Updated docs

* Small fix

* Added thread parameter filtering

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

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

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

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

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

* Revert concurrent

* Fix comments

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

* Filter framework kwargs from MCP tool invocations

* Fixes

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

* Fix WorkflowAgent to emit yield_output as agent response

* use raw_representation

* Raw representation handling

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

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

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

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

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

Fixes #2713

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

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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)

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

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

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

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

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

* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

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

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

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

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* Update python/packages/ollama/pyproject.toml

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

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

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* Improved Docstrings & Sample

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

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

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

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

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* Integrated Copilot Feedback

* Implement first PR Feedback

* Adjust Readme files for examples

* Adjust argument passing via additional chat options

* Implemented PR Feedback

* Removing Ollama Package from Core and moving samples

* Fix Link & Adding Samples to Main Sample Readme

* Fixing Links in Readme

* Moved Multimodal and Chat Example

* Fixed Link in ChatClient to Ollama

* Fix AgentFramework Links in Ollama Project

* Fix observability breaking change

---------

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* Skip failing IT (#2904)

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

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

* Force a CosmosDB source code change to trigger the pipeline

* Address possible string boolean mismatch

* Add debug

* Enabling emulator always when running IT

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

* .NET: Add TTLs to durable agent sessions

* Remove unnecessary async

* PR feedback: clarify UTC

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

* PR feedback: Fix TTL disablement

* Linter: use auto-property

* Fix build break from OpenAI SDK change

* Updated CHANGELOG.md

* PR feedback

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

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

* short fix to move id parameters to filters object

* added tests

* small fix

* mem0 dependency update

* Updated package versions (#2913)

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

* Switch to new "RunAgent" method name.

* Try to disable false positive naming warning.

* Add comment about disabled warnings.

* Rename `RunAgent` to just `Run`.

* Update CHANGELOG.

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

* Switch to `run` method.

* Add support for deprecated `run_agent`.

* Fix entity method name.

* Fix method name and improve tests.

* Update comment.

* Update Python CHANGELOG.

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

* WIP: Factory pattern to handoff

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

* Add tests and improve comments

* Fix mypy

* Simplify handoff_simple.py

* Simplify handoff_autonoumous.py and bug fix

* Update readme

* Address Copilot comments

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

* Flow custom kwargs to agents via SharedState

* Address Copilot feedback

* Improve sample typing

* Fix test

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

* Updated Ollama package version (#2920)

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

* bing grounding sample with citations

* small fix

* fix

* .NET: Make DelegatingAIAgent abstract (#2797)

* Initial plan

* Make DelegatingAIAgent abstract

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---------

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

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

* Correction of MCP image type conversion in  _mcp.py

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

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

* Pass kwargs into subworkflows (#2923)

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

* Move ollama samples to samples getting started dir

* Address feedback

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

* fix: correct BadRequestError when using Pydantic model in response_format

* Fix lint

---------

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

* delete the AIAgent.DisplayName property

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

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

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---------

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

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

* set tool_choice to auto

* fix for mypy

* added note on naming and fix #2951

* fix responses

* fixes in azure ai agents client

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

* Workflow add option to visualize internal executors

* Address Copilot comments

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

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

* fixed per copilot suggestions

* Python: Add workflow cancellation sample (#2732)

* Add workflow cancellation sample

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

* update docstring

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

* Initial plan

* Update Anthropic package to version 12.0.0

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

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>
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
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Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>

* 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

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

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

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

* 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

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

* 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)

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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)

---
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  dependency-version: 4.0.4.11
  dependency-type: direct:production
  update-type: version-update:semver-patch
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* Bump Azure.Identity from 1.17.0 to 1.17.1 (#2780)

---
updated-dependencies:
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
- dependency-name: Azure.Identity
  dependency-version: 1.17.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
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* Bump Azure.AI.AgentServer.AgentFramework from 1.0.0-beta.4 to 1.0.0-beta.5 (#2778)

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

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

* added more complete parsing for mcp tool arguments

* fixed mypy

* added nonlocal model counter, and some fixes

* fixes in naming logic

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

* Python: Updated package versions (#2784)

* Updated package versions

* Small fix

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

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

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

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

* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

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

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

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

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* Update python/packages/ollama/pyproject.toml

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

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

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* Improved Docstrings & Sample

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

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

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

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

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

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* Integrated Copilot Feedback

* Implement first PR Feedback

* Adjust Readme files for examples

* Adjust argument passing via additional chat options

* Implemented PR Feedback

* Removing Ollama Package from Core and moving samples

* Fix Link & Adding Samples to Main Sample Readme

* Fixing Links in Readme

* Moved Multimodal and Chat Example

* Fixed Link in ChatClient to Ollama

* Fix AgentFramework Links in Ollama Project

* Fix observability breaking change

---------

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* Skip failing IT (#2904)

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

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

* Force a CosmosDB source code change to trigger the pipeline

* Address possible string boolean mismatch

* Add debug

* Enabling emulator always when running IT

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

* .NET: Add TTLs to durable agent sessions

* Remove unnecessary async

* PR feedback: clarify UTC

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

* PR feedback: Fix TTL disablement

* Linter: use auto-property

* Fix build break from OpenAI SDK change

* Updated CHANGELOG.md

* PR feedback

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

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

* short fix to move id parameters to filters object

* added tests

* small fix

* mem0 dependency update

* Updated package versions (#2913)

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

* Switch to new "RunAgent" method name.

* Try to disable false positive naming warning.

* Add comment about disabled warnings.

* Rename `RunAgent` to just `Run`.

* Update CHANGELOG.

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

* Switch to `run` method.

* Add support for deprecated `run_agent`.

* Fix entity method name.

* Fix method name and improve tests.

* Update comment.

* Update Python CHANGELOG.

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

* WIP: Factory pattern to handoff

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

* Add tests and improve comments

* Fix mypy

* Simplify handoff_simple.py

* Simplify handoff_autonoumous.py and bug fix

* Update readme

* Address Copilot comments

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

* Flow custom kwargs to agents via SharedState

* Address Copilot feedback

* Improve sample typing

* Fix test

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

* Updated Ollama package version (#2920)

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

* bing grounding sample with citations

* small fix

* fix

* .NET: Make DelegatingAIAgent abstract (#2797)

* Initial plan

* Make DelegatingAIAgent abstract

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

---------

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

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

* Correction of MCP image type conversion in  _mcp.py

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

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

* Pass kwargs into subworkflows (#2923)

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

* Move ollama samples to samples getting started dir

* Address feedback

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

* fix: correct BadRequestError when using Pydantic model in response_format

* Fix lint

---------

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

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

* delete the AIAgent.DisplayName property

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

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

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

---------

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

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

* set tool_choice to auto

* fix for mypy

* added note on naming and fix #2951

* fix responses

* fixes in azure ai agents client

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

* Workflow add option to visualize internal executors

* Address Copilot comments

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

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

* fixed per copilot suggestions

* Python: Add workflow cancellation sample (#2732)

* Add workflow cancellation sample

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

* update docstring

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

* Initial plan

* Update Anthropic package to version 12.0.0

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

---------

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

* azure redis support

* small fixes

* azure managed redis sample

* fixes

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

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

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

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

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

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

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

* Fix kwargs propagation through workflow.as_agent()

* Fix WorkflowAgent to respect AgentExecutor output_response setting

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

* Use GrpcEntityRunner instead of TaskEntityDispatcher

* Pin to Durable worker 1.11.0

* Set the invocation result

* Update all Durable packages

* Update changelog, rename dispatcher to encondedEntityRequest

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

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

* update lock

* Fix formatting

* Fix ChatKit typing

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

* redo foundry local chat client

* fix mypy and spelling

* better docstring, updated sample

* fixed tests and added tests

* small sample update

* Updated package versions (#2978)

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

* added github mcp sample with PAT

* addressed copilot fixes

* env fix

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

* Preserve reasoning blocks with OpenRouter

* Put encrypted reasoning in TextReasoningContent

* Remove unneccessary change

* Fix docs

* Support streaming

* Fix handling None in TextReasoningContent.text

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

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

* better doc string

* added tests for the new streaming event types

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

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

* 2524 Addressed the second round review comments

* 2524 Addressed few more minor comments on the PR

* resolving the merge conflict

* 2524 resolved the uv.lock conflicts

* 2524 addressed more comments

* 2524 removed the print statement to fix the checks failure

* 2524 resolved the CI failure issues

* 2524 fixing the CI breaks

* 2524 Addressed the review comment

* 2524 resolved conflict

---------

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

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

* .NET: [Durable Agents] Reliable streaming sample

* Add automated validation for new sample

* Address Copilot PR feedback

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

* Fix typo in README.md about agent definitions

* Update agent-samples/README.md

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

---------

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

* Python: latency improvements (#3014)

* latency improvements

* fixed mypy, added coding standards and instructions

* slight logic improvement

* Python: Updated package versions (#3024)

* Updated package versions

* Updated changelog

* Python: add powerfx safe mode (#3028)

* add powerfx safe mode

* improved docstring and aligned env_file loading

* ensured test uses reset

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

* Initial plan

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

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

* Fix infinite recursion in test implementations

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* Make RunAsync and RunStreamingAsync non-virtual as requested

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* Fix DelegatingAIAgent subclasses to use RunCoreAsync/RunCoreStreamingAsync

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* Fix XML documentation references in AnonymousDelegatingAIAgent

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

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* Rollback unnecessary XML documentation changes in AnonymousDelegatingAIAgent

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* Remove pragma and update crefs to RunCoreAsync/RunCoreStreamingAsync

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* Fix EntityAgentWrapper to call base.RunCoreAsync/RunCoreStreamingAsync

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* fix compilation issues

* fix compilatio issue

* fix tests

* fix unit tests

* fix unit test

---------

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* 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

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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

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

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

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

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

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

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

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* Address code review feedback - use collection expression syntax

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

* Apply suggestion from @westey-m

* Fix issues with Copilot implementation

* Add additional tests for structured output overloads.

---------

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

* Add new AI content types and image tool support

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

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

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

* Address review feedback for tool content and samples

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* Tighten image generation typing and sample tools list

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* Align image generation output typing

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

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* Allow MCP call in function approval request

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* Remove raw image_generation tool remapping

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* Restore Anthropic tool_use to function calls unless code execution

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* Fix lint issues for hosted file docstring and MCP parsing

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* 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

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* Skip lightning tests without agentlightning and fix function call import

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* fix lint on lab package

* rebuilt anthropic parsing

* redid anthropic parsing

* typo

* updated parsing and added missing docstrings

* fix tests

* mypy fixes

* second mypy fix

* add new class to other samples

---------

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

---
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

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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)

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

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---------

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

* Renamed chat client extension method

* Additional renaming

* Updated documentation

* Fixed tests

* Small fix

* Small fix

* Updated DurableAIAgent and fixed integration tests (#3241)

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

* Added provider implementation for Azure AI V1

* Small fixes

* Fixed OpenAPI example

* Fixed local MCP example

* Fixed hosted MCP example

* Fixed file search sample

* Small fixes

* Resolved comments

* Doc updates

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

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

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

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

* Added provider implementation

* Added example with response format

* Small improvements

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

* added service thread support

* set service_thread_id to only supplied_thread_id

* uses raw_representation to extract the conversation_id

* removed accidental edit

* updated test to use raw_representation

* resolves copilot review feedback

* revert back StubAgent, since not used

* removed relative module import

* removed hasattr check per PR feedback

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

* Fix merge conflicts

---------

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* 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)

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

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

* Initial plan

* Add Agent_OpenAI_Step05_Conversation sample for conversation state management

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* Update Program.cs comment to accurately describe the sample

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

* Apply suggestions from code review

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* Changing sample to use ChatClientAgent and conversationId in GetNewThread

---------

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

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

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

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

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

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

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

* added more complete parsing for mcp tool arguments

* fixed mypy

* added nonlocal model counter, and some fixes

* fixes in naming logic

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

* Python: Updated package versions (#2784)

* Updated package versions

* Small fix

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

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

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

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

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

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

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

* Unify label in EdgeData

* Edge API adjustments, removed useless "sanitizer"

* fixed test

---------

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

* Added an example of using kwargs in ai_function

* Added thread object to ai_function kwargs

* Updated docs

* Small fix

* Added thread parameter filtering

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

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

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

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

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

* Revert concurrent

* Fix comments

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

* Filter framework kwargs from MCP tool invocations

* Fixes

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

* Fix WorkflowAgent to emit yield_output as agent response

* use raw_representation

* Raw representation handling

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

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

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

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

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

Fixes #2713

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

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

* WIP on updates using configure_azure_monitor

* improved setup and clarity

* fixed root .env.example

* revert changes

* updated files

* updated sample

* updated zero code

* test fixes and fixed links

* fix devui

* removed planning docs

* added enable method and updated readme and samples

* clarified docstring

* add return annotation

* updated naming

* update capatilized version

* updated readme and some fixes

* updated decorator name inline with the rest

* feedback from comments addressed

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

* Fix middleware terminate flag to exit function calling loop immediately

* Eliminating duck typing

* Improve function exec result handling

* Fix race condition

* Fix mypy issues

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

* Fix context duplication in handoff workflows when restoring from checkpoint

* Address Copilot PR review

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

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

Absorb breaking changes in Responses surface area

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

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

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

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

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

---------

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

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

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

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

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

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

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

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

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

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

* Initial Commit for Olama Connector

* Added Olama Sample

* Add Sample & Fixed Open Telemetry

* Fixed Spelling from Olama to Ollama

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

* Added Tool Calling

* Finalizing test cases

* Adjust samples to be more reliable

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

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* Update python/packages/ollama/pyproject.toml

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

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

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* Improved Docstrings & Sample

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

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

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

* Revert setting, so it can be none

* Validate Message formatting between AF and Ollama

* Catch Ollama Error and raise a ServiceResponse Error

* Fix mypy error

* remove .vscode comma

* Add Reasoning support & adjust to new structure

* Add Ollama Multimodality and Reasoning

* Add test cases for reasoning

* Add Tests for Error Handling in Ollama Client

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

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

---------

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

* Skip failing IT (#2904)

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

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

* Force a CosmosDB source code change to trigger the pipeline

* Address possible string boolean mismatch

* Add debug

* Enabling emulator always when running IT

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

* .NET: Add TTLs to durable agent sessions

* Remove unnecessary async

* PR feedback: clarify UTC

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

* PR feedback: Fix TTL disablement

* Linter: use auto-property

* Fix build break from OpenAI SDK change

* Updated CHANGELOG.md

* PR feedback

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

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

* short fix to move id parameters to filters object

* added tests

* small fix

* mem0 dependency update

* Updated package versions (#2913)

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

* Switch to new "RunAgent" method name.

* Try to disable false positive naming warning.

* Add comment about disabled warnings.

* Rename `RunAgent` to just `Run`.

* Update CHANGELOG.

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

* Switch to `run` method.

* Add support for deprecated `run_agent`.

* Fix entity method name.

* Fix method name and improve tests.

* Update comment.

* Update Python CHANGELOG.

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

* WIP: Factory pattern to handoff

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

* Add tests and improve comments

* Fix mypy

* Simplify handoff_simple.py

* Simplify handoff_autonoumous.py and bug fix

* Update readme

* Address Copilot comments

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

* Flow custom kwargs to agents via SharedState

* Address Copilot feedback

* Improve sample typing

* Fix test

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

* Updated Ollama package version (#2920)

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

* bing grounding sample with citations

* small fix

* fix

* .NET: Make DelegatingAIAgent abstract (#2797)

* Initial plan

* Make DelegatingAIAgent abstract

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

---------

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

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

* Correction of MCP image type conversion in  _mcp.py

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

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

* Pass kwargs into subworkflows (#2923)

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

* Move ollama samples to samples getting started dir

* Address feedback

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

* fix: correct BadRequestError when using Pydantic model in response_format

* Fix lint

---------

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

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

* delete the AIAgent.DisplayName property

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

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

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

---------

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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>

---------

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

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

* azure redis support

* small fixes

* azure managed redis sample

* fixes

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

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

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

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

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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

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

* 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

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

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

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

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

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

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

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

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* Allow MCP call in function approval request

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* Remove raw image_generation tool remapping

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* Restore Anthropic tool_use to function calls unless code execution

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* Fix lint issues for hosted file docstring and MCP parsing

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)

---
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- 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

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

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

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

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* Remove unused httpx import from test file

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

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* cicd fixes

* udpated samples with headers examples

---------

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* azureai direct a2a endpoint support (#3127)

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

* removed display_name, renamed context_providers, middleware and AggregateContextProvider

* fixes

* fixed test

* testfix

* removed mistakenly put back test

* updated new test

* rename middlewares to middleware

* middleware fixes

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

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

* fix #3153

* improved connection handling

* improved logic

* Python: Add declarative workflow runtime (#2815)

* Further support for declarative python workflows

* Add tests. Clean up for typing and formatting

* Improvements and cleanup

* Typing cleanup. Improve docstrings

* Proper code in docstrings

* Fix malformed code-block directive in docstring

* Remove dead links

* PR feedback

* Address PR feedback

* Address PR feedback

* Remove sl

* Update devui frontend

* More cleanup

* Fix uv lock

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

* Fix mypy error

* Fix for tool calls

* Removed stale docstring

* Fix lint

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

* Implement remaining items for Python declarative support to match dotnet

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

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

* WIP typeddict for options

* updated all clients and ChatAgents

* updated everything

* added ADR

* fix mypy

* proper typevar imports

* fixed import

* fixed other imports

* slight update in the sample

* updated from feedback

* fixes

* fixed missing covariants and test fixes

* fixed typing

* updated anthropic thinking config

* ruff fixes

* fixed int tests

* fix tests and mypy

* updated integration tests

* updated docstring and test fix

* improved options handling in obser

* mypy fix

* updated a host of integration tests

* fix tests

* bedrock fix

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

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

* Add agent approval flow; next samples

* WIP: samples

* WIP: HIL samples

* Group chat HIL working; next: handoff

* Fix group chat tool approval sample

* WIP: refactor handoff; next handoff handling

* Handoff done; next handoff samples and concurrent and sequential

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

* WIP: magentic; next test with samples + HIL

* Magentic Working; next fix all samples and tests

* Fix handoff samples; next tests

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

* Group chat unit tests done

* Handoff  unit tests done

* Remove old orchestration_request_info and fix related tests

* Magentic unit tests done

* Fix samples

* Fix test

* Fix test 2

* mypy

* Address comments

* Update readme

* Address comments

* Address comments 2

* Replace display name

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

* ADR for create/get agent API

* Updated ADR with implementation options

* Small updates

* Updated decision outcome section

* Updated broken links

* Small updates

* Fixed merge conflicts

* Small fix

* Updated decision outcome section

* Small fixes

* Updated provider naming based on client SDK

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

* Implement IReadOnlyList on InMemoryChatMessageStore (#3205)

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

* Make ChatMessageStore and AIContextProvider context props setable

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

* Fix broken tests.

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

* Add dependencies param to ag-ui FastAPI endpoint

* Address Copilot feedback

* renamed all (#3207)

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

* ADR for simplified get response

* updated some language, added agent option and code comparison

* small update in sample

* added workflows and expanded some points

* changed decision and number

* updated with stream=False default

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

* rename AgentRunResponse and AgentRunResponseUpdate classes - part1

* rename varialbles, parameters, methods and tests

* rollback unnecessary changes

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

* rename AgentRunResponseEvent and AgentRunUpdateEvent classes

* rollback unnecessary changes

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

* Added get_agent method to Azure AI V2

* Small fixes

* Small fix

* Removed AzureAIAgentProvider

* Added create_agent method

* Small fixes

* Fixed code interpreter tool mapping

* Added agent provider for V2 client

* Updated response format handling

* Added provider example

* Fixed errors

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

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

* Small fix

* Updates from merge

* Resolved comments

* Resolved comments

---------

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

* Add more specifc workflow exceptions

* Fix tests

* AI comments

* Misc

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

* added azure ai code interpreter file download sample

* copilot fix suggestions

* function name fixes + readme update

* small fix

* update package versions (#3223)

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

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

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

* improve comment

* Fix name

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

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

* add MCP tool support for AG-UI approval flows

* use attribute in place of property

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

* Properly configure structured outputs based on new options dict

* Fix mypy

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

* Merge AgentRunOptions.AdditionalProperties into ChatOptions.AdditionalProperties

* Fix namespace and typo.

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

* Initial plan

* Update Google.GenAI to 0.11.0 and remove polyfill files

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

---------

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

* Renamed chat client extension method

* Additional renaming

* Updated documentation

* Fixed tests

* Small fix

* Small fix

* Updated DurableAIAgent and fixed integration tests (#3241)

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

* Added provider implementation for Azure AI V1

* Small fixes

* Fixed OpenAPI example

* Fixed local MCP example

* Fixed hosted MCP example

* Fixed file search sample

* Small fixes

* Resolved comments

* Doc updates

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

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

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

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

* Added provider implementation

* Added example with response format

* Small improvements

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

* added service thread support

* set service_thread_id to only supplied_thread_id

* uses raw_representation to extract the conversation_id

* removed accidental edit

* updated test to use raw_representation

* resolves copilot review feedback

* revert back StubAgent, since not used

* removed relative module import

* removed hasattr check per PR feedback

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

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

* Clean up background job dependency injection

* Fix xml documentation grammar

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

* Renamed create_agent to as_agent

* Override for as_agent

* Added override

* Python: Update package version (#3258)

* package version 260116

* removed name tags

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

* Fixed Azure chat client for asynchronous filtering

* Updated test

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

* Fix use_agent_middleware calling private _normalize_messages

* Fixed A2A and Copilot Studio agent

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

* Add kwargs to create_agent method

* Added test for kwargs

* Addressed comment

* Added doc string

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

* Filter conversation_id when passing kwargs to agent as tool

* Small fix

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

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

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

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

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

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

---------

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

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

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

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* Update ignored checks in merge-gatekeeper workflow

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

* Make response_format validation errors visible to users

* Small fix

* Addressed comments

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

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

* Add samples to README

* Fix mypy

* Fix mypy again

* Address PR comments

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

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

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

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

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

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

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

Signed-off-by: dependabot[bot] <support@github.com>
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
...

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

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

* Delete sync extension methods for agent

* Fix comments and obsolete attribute

* Remove more sync methods.

* Fix naming and comments.

* Fix unit tests

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

* Fix: Add system_instructions to ChatClient LLM span tracing

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

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

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

Fixes #3163

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

* Add edge case tests for system_instructions

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

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

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

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

---------

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

* Improve PR number handling in workflow (#3302)

* Improve PR number handling in workflow

Refine PR number extraction and validation method.

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

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

* Fix error message for invalid PR number

---------

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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Signed-off-by: Dina Suehiro Jones <dina.s.jones@intel.com>
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2026-01-27 21:08:05 +00:00
CopilotGitHubSergeyMenshykhCopilotcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>SergeyMenshykh
c860385a8c Add C# GroupChat tool approval sample for multi-agent orchestrations (#3374)
* Initial plan

* Add C# GroupChat tool approval sample implementation

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

* Fix comment numbering for better code clarity

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

* Add GroupChatToolApproval project to solution

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

* Use Name property instead of Id for agent selection

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

* Fix file encoding - add UTF-8 BOM to C# files

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

* fix the sample

* Update dotnet/samples/GettingStarted/Workflows/Agents/GroupChatToolApproval/README.md

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

* address PR review feedback

---------

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2026-01-27 20:43:51 +00:00
Dmytro StrukandGitHub 715072b1dd Added GitHub Copilot project to release solution file (#3468) 2026-01-27 20:15:10 +00:00
Jacob AlberandGitHub 5ef12a2341 fix: FileSystemJsonCheckpointStore does not flush to disk on Checkpoint creation (#3439) 2026-01-27 19:53:40 +00:00
westeyandGitHub e6ce398b41 Expose metadata from A2AAgent and seal AIAgentMetadata (#3417) 2026-01-27 19:05:24 +00:00
CopilotGitHubwestey-mstephentoubcopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>Dmytro Struk
e82d9f5e45 .NET: Add AIAgent implementation for GitHub Copilot SDK (#3395)
* Initial plan

* Add GitHub Copilot SDK AIAgent implementation with tests

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

* Add projects to solution and fix sample imports

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

* Improve pragma comment clarity in GithubCopilotAgentThread

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

* Address PR feedback: internal constructor/setter, remove CopilotClientOptions ctor, streaming improvements, better sample, container warning

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

* Add ownsClient parameter to allow caller control over client disposal

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

* Fix unit tests by removing await using to avoid StreamJsonRpc disposal issues

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

* Fix file encoding: add UTF-8 BOM to Program.cs

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

* Fix dotnet-format errors: UTF-8 BOM, remove unused logger, add this qualifier, remove unnecessary usings

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

* Fix test file encoding and remove redundant cast

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

* Add AsAIAgent extension methods for CopilotClient with tests

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

* Remove IL suppressions, use TryComplete for channel writer, remove TCS from streaming

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

* Keep session alive across calls, add tools overload, add tests

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

* Revert session persistence changes - sessions dispose after each call

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

* Add CreatedAt property mapping using DateTimeOffset.UtcNow

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

* Add DataContent handling via temp files and attachments

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

* Fix formatting: remove extra indentation, simplify Path references, remove unused using

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

* Refactor: extract helper methods to reduce duplication in DataContent handling

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

* Updated sample and session config mapping

* Added instructions parameter

* Updated README

* Address PR feedback: reorder params, optimize dictionary, update prefix, remove InternalsVisibleTo, update sample prompts, add defaults

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

* Remove StreamJsonRpc reference from sample project

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* Fix parameter ordering: tools now after description, rename to s_mediaTypeExtensions, simplify extension logic, update prompts, fix test expectations

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* Fix streaming prompt: change Python to C# for Fibonacci example

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

* Handle all SDK events, add UsageContent support, fix model name, remove AutoStart, add using for Channels

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

* Resolved build errors

* Addressed comments

* Small fix

* Addressed comment

* Small fix

* Addressed comments

* Added integration tests

* Small update

---------

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2026-01-27 18:51:56 +00:00
Dmytro StrukandGitHub 968621e817 Updated package versions (#3462) 2026-01-27 18:16:55 +00:00
Dmytro StrukandGitHub bc3bc40dcc Updated package versions (#3459) 2026-01-27 17:46:59 +00:00
Jacob AlberandGitHub 72a85b2ea0 ci: Unblock Merge queue by disabling DurableTask TTL tests (#3464) 2026-01-27 17:02:19 +00:00
Dmytro StrukandGitHub 407fb3025e Python: Add BaseAgent implementation for GitHub Copilot SDK (#3404)
* Added GithubCopilotAgent

* Fixed errors

* Updated examples

* Updated naming and tests

* Resolved comments and more tests

* Updated tool handling

* Updated tool handling

* Small fixes

* Removed default permission handler

* Resolved comments

* Updated positional args

* Updated docstrings

* Small fixes and more examples

* Added example with MCP
2026-01-26 18:09:04 +00:00
westeyandGitHub a3a9147e61 .NET: [BREAKING] Rename AgentThread to AgentSession (#3430)
* Rename AgentThread to AgentSession

* Add more renames

* Update readme files

* Revert nullable variable change and further fixes.

* Revert change in header name

* Fix some comments and tests

* Update changelog.

* Address PR feedback.

* Fixing code review comments.

* Fix new errors after merging latest code.
2026-01-26 16:30:25 +00:00
westeyandGitHub bbe096a764 Workaround for devcontainer expired key issue (#3432)
* Update devcontainer versions for .net

* Fix version number

* Remove docker in docker

* bring back docker in docker

* Try bookworm version of container

* Try the trixie image

* Try noble container

* Try preview image

* Try 2-10.0

* Add docker file to work around devcontainer bug
2026-01-26 14:02:06 +00:00
CopilotGitHubrogerbarretocopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
cec8bd348e .NET: Improve unit test coverage for Microsoft.Agents.AI.Anthropic (#3382)
* Initial plan

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

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

* Update instruction verification tests to check agent.Instructions property

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

* Update unit tests with proper assertions for agent scenarios

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

* Add assertions for tools and maxTokens in Anthropic extension tests

* Add proper assertions for tools and maxTokens in Anthropic tests

---------

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2026-01-26 13:11:15 +00:00
CopilotGitHubrogerbarretocopilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
12f7e71f76 .NET: Improve unit test coverage for Microsoft.Agents.AI.AzureAI.Persistent (#3384)
* Initial plan

* Add unit tests to improve coverage for Microsoft.Agents.AI.AzureAI.Persistent

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

* Fix redundant cast error IDE0004

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

---------

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Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com>
2026-01-26 11:23:16 +00:00
914 changed files with 23240 additions and 16881 deletions
+23 -5
View File
@@ -1,16 +1,34 @@
{
"name": "C# (.NET)",
"image": "mcr.microsoft.com/devcontainers/dotnet:10.0",
//"image": "mcr.microsoft.com/devcontainers/dotnet",
// Workaround for https://github.com/devcontainers/images/issues/1752
"build": {
"dockerfile": "dotnet.Dockerfile"
},
"features": {
"ghcr.io/devcontainers/features/dotnet:2.4.0": {},
"ghcr.io/devcontainers/features/powershell:1.5.1": {},
"ghcr.io/devcontainers/features/azure-cli:1.2.8": {},
"ghcr.io/devcontainers/features/docker-in-docker:2.12.4": {}
"ghcr.io/devcontainers/features/azure-cli:1.2.9": {},
"ghcr.io/devcontainers/features/github-cli:1": {
"version": "2"
},
"ghcr.io/devcontainers/features/powershell:1": {
"version": "latest"
},
"ghcr.io/azure/azure-dev/azd:0": {
"version": "latest"
},
"ghcr.io/devcontainers/features/dotnet:2": {
"version": "none",
"dotnetRuntimeVersions": "10.0",
"aspNetCoreRuntimeVersions": "10.0"
},
"ghcr.io/devcontainers/features/copilot-cli:1": {}
},
"workspaceFolder": "/workspaces/agent-framework/dotnet/",
"customizations": {
"vscode": {
"extensions": [
"GitHub.copilot",
"GitHub.vscode-github-actions",
"ms-dotnettools.csdevkit",
"vscode-icons-team.vscode-icons",
"ms-windows-ai-studio.windows-ai-studio"
+5
View File
@@ -0,0 +1,5 @@
FROM mcr.microsoft.com/devcontainers/universal:latest
# Remove Yarn repository with expired GPG key to prevent apt-get update failures
# Tracking issue: https://github.com/devcontainers/images/issues/1752
RUN rm -f /etc/apt/sources.list.d/yarn.list
+3
View File
@@ -2,3 +2,6 @@
# https://docs.github.com/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
python/packages/azurefunctions/ @microsoft/agentframework-durabletask-developers
python/packages/durabletask/ @microsoft/agentframework-durabletask-developers
python/samples/getting_started/azure_functions/ @microsoft/agentframework-durabletask-developers
python/samples/getting_started/durabletask/ @microsoft/agentframework-durabletask-developers
+7 -7
View File
@@ -83,7 +83,7 @@ jobs:
dotnet
python
workflow-samples
# Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
- name: Start Azure Cosmos DB Emulator
if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
@@ -139,7 +139,7 @@ jobs:
popd
popd
rm -rf "$TEMP_DIR"
- name: Run Unit Tests
shell: bash
run: |
@@ -147,7 +147,7 @@ jobs:
for project in $UT_PROJECTS; do
# Query the project's target frameworks using MSBuild with the current configuration
target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
# Check if the project supports the target framework
if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
if [[ "${{ matrix.targetFramework }}" == "${{ env.COVERAGE_FRAMEWORK }}" ]]; then
@@ -165,8 +165,8 @@ jobs:
COSMOSDB_KEY: C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==
- name: Log event name and matrix integration-tests
shell: bash
run: echo "github.event_name:${{ github.event_name }} matrix.integration-tests:${{ matrix.integration-tests }} github.event.action:${{ github.event.action }} github.event.pull_request.merged:${{ github.event.pull_request.merged }}"
shell: bash
run: echo "github.event_name:${{ github.event_name }} matrix.integration-tests:${{ matrix.integration-tests }} github.event.action:${{ github.event.action }} github.event.pull_request.merged:${{ github.event.pull_request.merged }}"
- name: Azure CLI Login
if: github.event_name != 'pull_request' && matrix.integration-tests
@@ -192,10 +192,10 @@ jobs:
for project in $INTEGRATION_TEST_PROJECTS; do
# Query the project's target frameworks using MSBuild with the current configuration
target_frameworks=$(dotnet msbuild $project -getProperty:TargetFrameworks -p:Configuration=${{ matrix.configuration }} -nologo 2>/dev/null | tr -d '\r')
# Check if the project supports the target framework
if [[ "$target_frameworks" == *"${{ matrix.targetFramework }}"* ]]; then
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx
dotnet test -f ${{ matrix.targetFramework }} -c ${{ matrix.configuration }} $project --no-build -v Normal --logger trx --filter "Category!=IntegrationDisabled"
else
echo "Skipping $project - does not support target framework ${{ matrix.targetFramework }} (supports: $target_frameworks)"
fi
+1 -1
View File
@@ -97,7 +97,7 @@ jobs:
id: azure-functions-setup
- name: Test with pytest
timeout-minutes: 10
run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 600 --retries 3 --retry-delay 10
run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 900 --retries 3 --retry-delay 10
working-directory: ./python
- name: Test core samples
timeout-minutes: 10
+6 -5
View File
@@ -209,13 +209,14 @@ WARP.md
**/tmpclaude*
# Azurite storage emulator files
*/__azurite_db_blob__.json
*/__azurite_db_blob_extent__.json
*/__azurite_db_queue__.json
*/__azurite_db_queue_extent__.json
*/__azurite_db_table__.json
*/__azurite_db_blob__.json*
*/__azurite_db_blob_extent__.json*
*/__azurite_db_queue__.json*
*/__azurite_db_queue_extent__.json*
*/__azurite_db_table__.json*
*/__blobstorage__/
*/__queuestorage__/
*/AzuriteConfig
# Azure Functions local settings
local.settings.json
+10 -9
View File
@@ -37,7 +37,7 @@
<PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
<PackageVersion Include="System.ClientModel" Version="1.8.1" />
<PackageVersion Include="System.CodeDom" Version="10.0.0" />
<PackageVersion Include="System.Collections.Immutable" Version="10.0.0" />
<PackageVersion Include="System.Collections.Immutable" Version="10.0.1" />
<PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
<PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.2" />
<PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.0" />
@@ -89,6 +89,7 @@
<PackageVersion Include="Microsoft.SemanticKernel.Agents.AzureAI" Version="1.67.0-preview" />
<PackageVersion Include="Microsoft.SemanticKernel.Plugins.OpenApi" Version="1.67.0" />
<!-- Agent SDKs -->
<PackageVersion Include="GitHub.Copilot.SDK" Version="0.1.18" />
<PackageVersion Include="Microsoft.Agents.CopilotStudio.Client" Version="1.3.171-beta" />
<!-- M365 Agents SDK -->
<PackageVersion Include="AdaptiveCards" Version="3.1.0" />
@@ -107,19 +108,19 @@
<!-- Identity -->
<PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.78.0" />
<!-- Workflows -->
<PackageVersion Include="Microsoft.Bot.ObjectModel" Version="1.2025.1106.1" />
<PackageVersion Include="Microsoft.Bot.ObjectModel.Json" Version="1.2025.1106.1" />
<PackageVersion Include="Microsoft.Bot.ObjectModel.PowerFx" Version="1.2025.1106.1" />
<PackageVersion Include="Microsoft.Agents.ObjectModel" Version="2026.1.2.3" />
<PackageVersion Include="Microsoft.Agents.ObjectModel.Json" Version="2026.1.2.3" />
<PackageVersion Include="Microsoft.Agents.ObjectModel.PowerFx" Version="2026.1.2.3" />
<PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.5.0-build.20251008-1002" />
<!-- Durable Task -->
<PackageVersion Include="Microsoft.DurableTask.Client" Version="1.19.1" />
<PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.19.0" />
<PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.19.0" />
<PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.19.0" />
<PackageVersion Include="Microsoft.DurableTask.Client" Version="1.18.0" />
<PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.18.0" />
<PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.18.0" />
<PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.18.0" />
<!-- Azure Functions -->
<PackageVersion Include="Microsoft.Azure.Functions.Worker" Version="2.50.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.ApplicationInsights" Version="2.50.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.13.1" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.11.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" Version="1.0.1" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http" Version="3.3.0" />
<PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
+6 -11
View File
@@ -34,10 +34,6 @@
<Project Path="samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
<Project Path="samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
<Project Path="samples/AzureFunctions/08_ReliableStreaming/08_ReliableStreaming.csproj" />
<Project Path="samples/AzureFunctions/09_Workflow/09_Workflow.csproj" />
<Project Path="samples/AzureFunctions/10_WorkflowConcurrent/10_WorkflowConcurrent.csproj" />
<Project Path="samples/AzureFunctions/11_WorkflowSharedState/11_WorkflowSharedState.csproj" />
<Project Path="samples/AzureFunctions/12_ConditionalEdges/12_ConditionalEdges.csproj" />
</Folder>
<Folder Name="/Samples/DurableAgents/">
<File Path="samples/DurableAgents/ConsoleApps/README.md" />
@@ -50,12 +46,6 @@
<Project Path="samples/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
<Project Path="samples/DurableAgents/ConsoleApps/06_LongRunningTools/06_LongRunningTools.csproj" />
<Project Path="samples/DurableAgents/ConsoleApps/07_ReliableStreaming/07_ReliableStreaming.csproj" />
<Project Path="samples/DurableAgents/ConsoleApps/08_SingleWorkflow/08_SingleWorkflow.csproj" />
<Project Path="samples/DurableAgents/ConsoleApps/09_SubWorkflows/09_SubWorkflows.csproj" />
<Project Path="samples/DurableAgents/ConsoleApps/09_Workflow_Concurrency/09_Workflow_Concurrency.csproj" />
<Project Path="samples/DurableAgents/ConsoleApps/10_Workflow_HITL/10_Workflow_HITL.csproj" />
<Project Path="samples/DurableAgents/ConsoleApps/11_WorkflowEvents/11_WorkflowEvents.csproj" />
<Project Path="samples/DurableAgents/ConsoleApps/12_WorkflowLoop/12_WorkflowLoop.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/">
<File Path="samples/GettingStarted/README.md" />
@@ -75,6 +65,7 @@
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Agent_With_AzureOpenAIChatCompletion.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_AzureOpenAIResponses/Agent_With_AzureOpenAIResponses.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_CustomImplementation/Agent_With_CustomImplementation.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_GitHubCopilot/Agent_With_GitHubCopilot.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_GoogleGemini/Agent_With_GoogleGemini.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_Ollama/Agent_With_Ollama.csproj" />
<Project Path="samples/GettingStarted/AgentProviders/Agent_With_ONNX/Agent_With_ONNX.csproj" />
@@ -239,6 +230,7 @@
<Folder Name="/Samples/GettingStarted/Workflows/Agents/">
<Project Path="samples/GettingStarted/Workflows/Agents/CustomAgentExecutors/CustomAgentExecutors.csproj" />
<Project Path="samples/GettingStarted/Workflows/Agents/FoundryAgent/FoundryAgent.csproj" />
<Project Path="samples/GettingStarted/Workflows/Agents/GroupChatToolApproval/GroupChatToolApproval.csproj" />
<Project Path="samples/GettingStarted/Workflows/Agents/WorkflowAsAnAgent/WorkflowAsAnAgent.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/Workflows/Checkpoint/">
@@ -405,6 +397,7 @@
<Project Path="src/Microsoft.Agents.AI.Abstractions/Microsoft.Agents.AI.Abstractions.csproj" />
<Project Path="src/Microsoft.Agents.AI.AGUI/Microsoft.Agents.AI.AGUI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Anthropic/Microsoft.Agents.AI.Anthropic.csproj" />
<Project Path="src/Microsoft.Agents.AI.GitHub.Copilot/Microsoft.Agents.AI.GitHub.Copilot.csproj" />
<Project Path="src/Microsoft.Agents.AI.AzureAI.Persistent/Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
<Project Path="src/Microsoft.Agents.AI.AzureAI/Microsoft.Agents.AI.AzureAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.CopilotStudio/Microsoft.Agents.AI.CopilotStudio.csproj" />
@@ -423,8 +416,8 @@
<Project Path="src/Microsoft.Agents.AI.Purview/Microsoft.Agents.AI.Purview.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.AzureAI/Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows/Microsoft.Agents.AI.Workflows.csproj" />
<Project Path="src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj" />
<Project Path="src/Microsoft.Agents.AI/Microsoft.Agents.AI.csproj" />
</Folder>
<Folder Name="/Tests/" />
@@ -434,6 +427,7 @@
<Project Path="tests/AzureAI.IntegrationTests/AzureAI.IntegrationTests.csproj" />
<Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
<Project Path="tests/CopilotStudio.IntegrationTests/CopilotStudio.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests/Microsoft.Agents.AI.GitHub.Copilot.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj" />
@@ -448,6 +442,7 @@
<Project Path="tests/Microsoft.Agents.AI.Abstractions.UnitTests/Microsoft.Agents.AI.Abstractions.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.AGUI.UnitTests/Microsoft.Agents.AI.AGUI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.Anthropic.UnitTests/Microsoft.Agents.AI.Anthropic.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests/Microsoft.Agents.AI.AzureAI.Persistent.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.AzureAI.UnitTests/Microsoft.Agents.AI.AzureAI.UnitTests.csproj" />
<Project Path="tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/Microsoft.Agents.AI.CosmosNoSql.UnitTests.csproj" />
+1
View File
@@ -6,6 +6,7 @@
"src\\Microsoft.Agents.AI.Abstractions\\Microsoft.Agents.AI.Abstractions.csproj",
"src\\Microsoft.Agents.AI.AGUI\\Microsoft.Agents.AI.AGUI.csproj",
"src\\Microsoft.Agents.AI.Anthropic\\Microsoft.Agents.AI.Anthropic.csproj",
"src\\Microsoft.Agents.AI.GitHub.Copilot\\Microsoft.Agents.AI.GitHub.Copilot.csproj",
"src\\Microsoft.Agents.AI.AzureAI.Persistent\\Microsoft.Agents.AI.AzureAI.Persistent.csproj",
"src\\Microsoft.Agents.AI.AzureAI\\Microsoft.Agents.AI.AzureAI.csproj",
"src\\Microsoft.Agents.AI.CopilotStudio\\Microsoft.Agents.AI.CopilotStudio.csproj",
-4
View File
@@ -3,14 +3,10 @@
<packageSources>
<clear />
<add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
<add key="LocalNugetSource" value="C:\LocalNugetSource" />
</packageSources>
<packageSourceMapping>
<packageSource key="nuget.org">
<package pattern="*" />
</packageSource>
<packageSource key="LocalNugetSource">
<package pattern="*" />
</packageSource>
</packageSourceMapping>
</configuration>
+3 -3
View File
@@ -2,9 +2,9 @@
<PropertyGroup>
<!-- Central version prefix - applies to all nuget packages. -->
<VersionPrefix>1.0.0</VersionPrefix>
<PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260121.1</PackageVersion>
<PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260121.1</PackageVersion>
<GitTag>1.0.0-preview.260121.1</GitTag>
<PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260128.1</PackageVersion>
<PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260128.1</PackageVersion>
<GitTag>1.0.0-preview.260128.1</GitTag>
<Configurations>Debug;Release;Publish</Configurations>
<IsPackable>true</IsPackable>
@@ -42,7 +42,7 @@ public static class Program
// Create the Host agent
var hostAgent = new HostClientAgent(loggerFactory);
await hostAgent.InitializeAgentAsync(modelId, apiKey, agentUrls!.Split(";"));
AgentThread thread = await hostAgent.Agent!.GetNewThreadAsync(cancellationToken);
AgentSession session = await hostAgent.Agent!.GetNewSessionAsync(cancellationToken);
try
{
while (true)
@@ -61,7 +61,7 @@ public static class Program
break;
}
var agentResponse = await hostAgent.Agent!.RunAsync(message, thread, cancellationToken: cancellationToken);
var agentResponse = await hostAgent.Agent!.RunAsync(message, session, cancellationToken: cancellationToken);
foreach (var chatMessage in agentResponse.Messages)
{
Console.ForegroundColor = ConsoleColor.Cyan;
@@ -88,7 +88,7 @@ public static class Program
description: "AG-UI Client Agent",
tools: [changeBackground, readClientClimateSensors]);
AgentThread thread = await agent.GetNewThreadAsync(cancellationToken);
AgentSession session = await agent.GetNewSessionAsync(cancellationToken);
List<ChatMessage> messages = [new(ChatRole.System, "You are a helpful assistant.")];
try
{
@@ -112,23 +112,23 @@ public static class Program
// Call RunStreamingAsync to get streaming updates
bool isFirstUpdate = true;
string? threadId = null;
string? sessionId = null;
var updates = new List<ChatResponseUpdate>();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, thread, cancellationToken: cancellationToken))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, session, cancellationToken: cancellationToken))
{
// Use AsChatResponseUpdate to access ChatResponseUpdate properties
ChatResponseUpdate chatUpdate = update.AsChatResponseUpdate();
updates.Add(chatUpdate);
if (chatUpdate.ConversationId != null)
{
threadId = chatUpdate.ConversationId;
sessionId = chatUpdate.ConversationId;
}
// Display run started information from the first update
if (isFirstUpdate && threadId != null && update.ResponseId != null)
if (isFirstUpdate && sessionId != null && update.ResponseId != null)
{
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($"\n[Run Started - Thread: {threadId}, Run: {update.ResponseId}]");
Console.WriteLine($"\n[Run Started - Session: {sessionId}, Run: {update.ResponseId}]");
Console.ResetColor();
isFirstUpdate = false;
}
@@ -177,7 +177,7 @@ public static class Program
var lastUpdate = updates[^1];
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine();
Console.WriteLine($"[Run Ended - Thread: {threadId}, Run: {lastUpdate.ResponseId}]");
Console.WriteLine($"[Run Ended - Session: {sessionId}, Run: {lastUpdate.ResponseId}]");
Console.ResetColor();
}
messages.Clear();
@@ -19,21 +19,21 @@ internal sealed class AgenticUIAgent : DelegatingAIAgent
this._jsonSerializerOptions = jsonSerializerOptions;
}
protected override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
protected override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
{
return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken).ToAgentResponseAsync(cancellationToken);
return this.RunCoreStreamingAsync(messages, session, options, cancellationToken).ToAgentResponseAsync(cancellationToken);
}
protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
// Track function calls that should trigger state events
var trackedFunctionCalls = new Dictionary<string, FunctionCallContent>();
await foreach (var update in this.InnerAgent.RunStreamingAsync(messages, thread, options, cancellationToken).ConfigureAwait(false))
await foreach (var update in this.InnerAgent.RunStreamingAsync(messages, session, options, cancellationToken).ConfigureAwait(false))
{
// Process contents: track function calls and emit state events for results
List<AIContent> stateEventsToEmit = new();
@@ -20,21 +20,21 @@ internal sealed class PredictiveStateUpdatesAgent : DelegatingAIAgent
this._jsonSerializerOptions = jsonSerializerOptions;
}
protected override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
protected override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
{
return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken).ToAgentResponseAsync(cancellationToken);
return this.RunCoreStreamingAsync(messages, session, options, cancellationToken).ToAgentResponseAsync(cancellationToken);
}
protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
// Track the last emitted document state to avoid duplicates
string? lastEmittedDocument = null;
await foreach (var update in this.InnerAgent.RunStreamingAsync(messages, thread, options, cancellationToken).ConfigureAwait(false))
await foreach (var update in this.InnerAgent.RunStreamingAsync(messages, session, options, cancellationToken).ConfigureAwait(false))
{
// Check if we're seeing a write_document tool call and emit predictive state
bool hasToolCall = false;
@@ -19,21 +19,21 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
this._jsonSerializerOptions = jsonSerializerOptions;
}
protected override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
protected override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
{
return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken).ToAgentResponseAsync(cancellationToken);
return this.RunCoreStreamingAsync(messages, session, options, cancellationToken).ToAgentResponseAsync(cancellationToken);
}
protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
if (options is not ChatClientAgentRunOptions { ChatOptions.AdditionalProperties: { } properties } chatRunOptions ||
!properties.TryGetValue("ag_ui_state", out JsonElement state))
{
await foreach (var update in this.InnerAgent.RunStreamingAsync(messages, thread, options, cancellationToken).ConfigureAwait(false))
await foreach (var update in this.InnerAgent.RunStreamingAsync(messages, session, options, cancellationToken).ConfigureAwait(false))
{
yield return update;
}
@@ -64,7 +64,7 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
var firstRunMessages = messages.Append(stateUpdateMessage);
var allUpdates = new List<AgentResponseUpdate>();
await foreach (var update in this.InnerAgent.RunStreamingAsync(firstRunMessages, thread, firstRunOptions, cancellationToken).ConfigureAwait(false))
await foreach (var update in this.InnerAgent.RunStreamingAsync(firstRunMessages, session, firstRunOptions, cancellationToken).ConfigureAwait(false))
{
allUpdates.Add(update);
@@ -98,7 +98,7 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
ChatRole.System,
[new TextContent("Please provide a concise summary of the state changes in at most two sentences.")]));
await foreach (var update in this.InnerAgent.RunStreamingAsync(secondRunMessages, thread, options, cancellationToken).ConfigureAwait(false))
await foreach (var update in this.InnerAgent.RunStreamingAsync(secondRunMessages, session, options, cancellationToken).ConfigureAwait(false))
{
yield return update;
}
@@ -36,7 +36,7 @@ var pirateAgentBuilder = builder.AddAIAgent(
chatClientServiceKey: "chat-model")
.WithAITool(new CustomAITool())
.WithAITool(new CustomFunctionTool())
.WithInMemoryThreadStore();
.WithInMemorySessionStore();
var knightsKnavesAgentBuilder = builder.AddAIAgent("knights-and-knaves", (sp, key) =>
{
@@ -28,13 +28,13 @@ internal sealed class A2AAgentClient : AgentClientBase
public override async IAsyncEnumerable<AgentResponseUpdate> RunStreamingAsync(
string agentName,
IList<ChatMessage> messages,
string? threadId = null,
string? sessionId = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
this._logger.LogInformation("Running agent {AgentName} with {MessageCount} messages via A2A", agentName, messages.Count);
var (a2aClient, _) = this.ResolveClient(agentName);
var contextId = threadId ?? Guid.NewGuid().ToString("N");
var contextId = sessionId ?? Guid.NewGuid().ToString("N");
// Convert and send messages via A2A without try-catch in yield method
var results = new List<AgentResponseUpdate>();
@@ -16,13 +16,13 @@ internal abstract class AgentClientBase
/// </summary>
/// <param name="agentName">The name of the agent to run.</param>
/// <param name="messages">The messages to send to the agent.</param>
/// <param name="threadId">Optional thread identifier for conversation continuity.</param>
/// <param name="sessionId">Optional session identifier for conversation continuity.</param>
/// <param name="cancellationToken">Cancellation token.</param>
/// <returns>An asynchronous enumerable of agent response updates.</returns>
public abstract IAsyncEnumerable<AgentResponseUpdate> RunStreamingAsync(
string agentName,
IList<ChatMessage> messages,
string? threadId = null,
string? sessionId = null,
CancellationToken cancellationToken = default);
/// <summary>
@@ -34,16 +34,3 @@ internal abstract class AgentClientBase
public virtual Task<AgentCard?> GetAgentCardAsync(string agentName, CancellationToken cancellationToken = default)
=> Task.FromResult<AgentCard?>(null);
}
/// <summary>
/// Helper class to create a thread-like wrapper for agent clients.
/// </summary>
public class AgentClientThread
{
public string ThreadId { get; }
public AgentClientThread(string? threadId = null)
{
this.ThreadId = threadId ?? Guid.NewGuid().ToString("N");
}
}
@@ -19,7 +19,7 @@ internal sealed class OpenAIChatCompletionsAgentClient(HttpClient httpClient) :
public override async IAsyncEnumerable<AgentResponseUpdate> RunStreamingAsync(
string agentName,
IList<ChatMessage> messages,
string? threadId = null,
string? sessionId = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
OpenAIClientOptions options = new()
@@ -18,7 +18,7 @@ internal sealed class OpenAIResponsesAgentClient(HttpClient httpClient) : AgentC
public override async IAsyncEnumerable<AgentResponseUpdate> RunStreamingAsync(
string agentName,
IList<ChatMessage> messages,
string? threadId = null,
string? sessionId = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
OpenAIClientOptions options = new()
@@ -30,7 +30,7 @@ internal sealed class OpenAIResponsesAgentClient(HttpClient httpClient) : AgentC
var openAiClient = new ResponsesClient(model: agentName, credential: new ApiKeyCredential("dummy-key"), options: options).AsIChatClient();
var chatOptions = new ChatOptions()
{
ConversationId = threadId
ConversationId = sessionId
};
await foreach (var update in openAiClient.GetStreamingResponseAsync(messages, chatOptions, cancellationToken: cancellationToken))
@@ -8,6 +8,3 @@ dotnet_diagnostic.DURABLE0003.severity = none
dotnet_diagnostic.DURABLE0004.severity = none
dotnet_diagnostic.DURABLE0005.severity = none
dotnet_diagnostic.DURABLE0006.severity = none
# CA1812: Internal classes are instantiated via dependency injection or reflection in samples
dotnet_diagnostic.CA1812.severity = none
@@ -6,8 +6,8 @@
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>Workflow</AssemblyName>
<RootNamespace>Workflow</RootNamespace>
<AssemblyName>SingleAgent</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
@@ -5,4 +5,4 @@
POST {{authority}}/api/agents/Joker/run
Content-Type: text/plain
Hello world
Tell me a joke about a pirate.
@@ -19,15 +19,15 @@ public static class FunctionTriggers
public static async Task<string> RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context)
{
DurableAIAgent writer = context.GetAgent("WriterAgent");
AgentThread writerThread = await writer.GetNewThreadAsync();
AgentSession writerSession = await writer.GetNewSessionAsync();
AgentResponse<TextResponse> initial = await writer.RunAsync<TextResponse>(
message: "Write a concise inspirational sentence about learning.",
thread: writerThread);
session: writerSession);
AgentResponse<TextResponse> refined = await writer.RunAsync<TextResponse>(
message: $"Improve this further while keeping it under 25 words: {initial.Result.Text}",
thread: writerThread);
session: writerSession);
return refined.Result.Text;
}
@@ -21,7 +21,7 @@ AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
// Single agent used by the orchestration to demonstrate sequential calls on the same thread.
// Single agent used by the orchestration to demonstrate sequential calls on the same session.
const string WriterName = "WriterAgent";
const string WriterInstructions =
"""
@@ -1,11 +1,11 @@
# Single Agent Orchestration Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that orchestrates sequential calls to a single AI agent using the same conversation thread for context continuity.
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that orchestrates sequential calls to a single AI agent using the same session for context continuity.
## Key Concepts Demonstrated
- Orchestrating multiple interactions with the same agent in a deterministic order
- Using the same `AgentThread` across multiple calls to maintain conversational context
- Using the same `AgentSession` across multiple calls to maintain conversational context
- Durable orchestration with automatic checkpointing and resumption from failures
- HTTP API integration for starting and monitoring orchestrations
@@ -21,7 +21,7 @@ public static class FunctionTriggers
// Get the spam detection agent
DurableAIAgent spamDetectionAgent = context.GetAgent("SpamDetectionAgent");
AgentThread spamThread = await spamDetectionAgent.GetNewThreadAsync();
AgentSession spamSession = await spamDetectionAgent.GetNewSessionAsync();
// Step 1: Check if the email is spam
AgentResponse<DetectionResult> spamDetectionResponse = await spamDetectionAgent.RunAsync<DetectionResult>(
@@ -31,7 +31,7 @@ public static class FunctionTriggers
Email ID: {email.EmailId}
Content: {email.EmailContent}
""",
thread: spamThread);
session: spamSession);
DetectionResult result = spamDetectionResponse.Result;
// Step 2: Conditional logic based on spam detection result
@@ -43,7 +43,7 @@ public static class FunctionTriggers
// Generate and send response for legitimate email
DurableAIAgent emailAssistantAgent = context.GetAgent("EmailAssistantAgent");
AgentThread emailThread = await emailAssistantAgent.GetNewThreadAsync();
AgentSession emailSession = await emailAssistantAgent.GetNewSessionAsync();
AgentResponse<EmailResponse> emailAssistantResponse = await emailAssistantAgent.RunAsync<EmailResponse>(
message:
@@ -53,7 +53,7 @@ public static class FunctionTriggers
Email ID: {email.EmailId}
Content: {email.EmailContent}
""",
thread: emailThread);
session: emailSession);
EmailResponse emailResponse = emailAssistantResponse.Result;
@@ -24,7 +24,7 @@ public static class FunctionTriggers
// Get the writer agent
DurableAIAgent writerAgent = context.GetAgent("WriterAgent");
AgentThread writerThread = await writerAgent.GetNewThreadAsync();
AgentSession writerSession = await writerAgent.GetNewSessionAsync();
// Set initial status
context.SetCustomStatus($"Starting content generation for topic: {input.Topic}");
@@ -32,7 +32,7 @@ public static class FunctionTriggers
// Step 1: Generate initial content
AgentResponse<GeneratedContent> writerResponse = await writerAgent.RunAsync<GeneratedContent>(
message: $"Write a short article about '{input.Topic}'.",
thread: writerThread);
session: writerSession);
GeneratedContent content = writerResponse.Result;
// Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops
@@ -81,7 +81,7 @@ public static class FunctionTriggers
Human Feedback: {humanResponse.Feedback}
""",
thread: writerThread);
session: writerSession);
content = writerResponse.Result;
}
@@ -20,7 +20,7 @@ public static class FunctionTriggers
// Get the writer agent
DurableAIAgent writerAgent = context.GetAgent("Writer");
AgentThread writerThread = await writerAgent.GetNewThreadAsync();
AgentSession writerSession = await writerAgent.GetNewSessionAsync();
// Set initial status
context.SetCustomStatus($"Starting content generation for topic: {input.Topic}");
@@ -28,7 +28,7 @@ public static class FunctionTriggers
// Step 1: Generate initial content
AgentResponse<GeneratedContent> writerResponse = await writerAgent.RunAsync<GeneratedContent>(
message: $"Write a short article about '{input.Topic}'.",
thread: writerThread);
session: writerSession);
GeneratedContent content = writerResponse.Result;
// Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops
@@ -102,7 +102,7 @@ public static class FunctionTriggers
Human Feedback: {humanResponse.Feedback}
""",
thread: writerThread);
session: writerSession);
content = writerResponse.Result;
}
@@ -47,7 +47,7 @@ internal sealed class Tools(ILogger<Tools> logger)
{
this._logger.LogInformation("Getting status for workflow instance: {InstanceId}", instanceId);
// Get the current agent context using the thread-static property
// Get the current agent context using the session-static property
OrchestrationMetadata? status = await DurableAgentContext.Current.GetOrchestrationStatusAsync(
instanceId,
includeDetails);
@@ -94,15 +94,15 @@ public sealed class FunctionTriggers
AIAgent agentProxy = durableClient.AsDurableAgentProxy(context, "TravelPlanner");
// Create a new agent thread
AgentThread thread = await agentProxy.GetNewThreadAsync(cancellationToken);
string agentSessionId = thread.GetService<AgentSessionId>().ToString();
// Create a new agent session
AgentSession session = await agentProxy.GetNewSessionAsync(cancellationToken);
string agentSessionId = session.GetService<AgentSessionId>().ToString();
this._logger.LogInformation("Creating new agent session: {AgentSessionId}", agentSessionId);
// Run the agent in the background (fire-and-forget)
DurableAgentRunOptions options = new() { IsFireAndForget = true };
await agentProxy.RunAsync(prompt, thread, options, cancellationToken);
await agentProxy.RunAsync(prompt, session, options, cancellationToken);
this._logger.LogInformation("Agent run started for session: {AgentSessionId}", agentSessionId);
@@ -65,9 +65,9 @@ public sealed class RedisStreamResponseHandler : IAgentResponseHandler
"DurableAgentContext.Current is not set. This handler must be used within a durable agent context.");
}
// Get session ID from the current thread context, which is only available in the context of
// Get session ID from the current session context, which is only available in the context of
// a durable agent execution.
string agentSessionId = context.CurrentThread.GetService<AgentSessionId>().ToString();
string agentSessionId = context.CurrentSession.GetService<AgentSessionId>().ToString();
string streamKey = GetStreamKey(agentSessionId);
IDatabase db = this._redis.GetDatabase();
@@ -1,44 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>SingleAgent</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -1,67 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Parses an Order ID from a string input and returns an Order object populated.
/// </summary>
internal sealed class OrderLookup() : Executor<string, Order>("OrderLookup")
{
public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Populate Order information from OrderId.
return new Order(message, 100.0m);
}
}
/// <summary>
/// Enriches an Order object with additional information.
/// </summary>
internal sealed class OrderEnrich() : Executor<Order, Order>("EnrichOrder")
{
public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
if (message.Customer is null)
{
// populate customer information for the order from database.
message.Customer = new Customer(1, "Jerry");
}
return message;
}
}
internal sealed class PaymentProcessor() : Executor<Order, Order>("ProcessPayment")
{
public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
message.PaymentReferenceNumber = Guid.NewGuid().ToString()[^4..];
return message;
}
}
internal sealed class OrderCancel() : Executor<Order, string>("OrderCancel")
{
public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
return $"Order {message.Id} cancelled at {DateTime.UtcNow:g} UTC.";
}
}
internal sealed class Order
{
public Order(string id, decimal amount)
{
this.Id = id;
this.Amount = amount;
}
public string Id { get; }
public decimal Amount { get; }
public Customer? Customer { get; set; }
public string? PaymentReferenceNumber { get; set; }
}
public sealed record Customer(int Id, string Name);
@@ -1,48 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.Hosting;
using SingleAgent;
Func<string, string> orderParserFunc = input =>
{
// We accept both short ordereId(Ex:12345) and long order reference number(MSFT12345)
// OrderId is the last 5 digigs of order reference number.
const int OrderIdPartLength = 5;
if (input.Length > OrderIdPartLength)
{
return input[^OrderIdPartLength..];
}
return input;
};
var orderParserExecutor = orderParserFunc.BindAsExecutor("ParseOrderId");
OrderLookup orderLookupExecutor = new();
OrderEnrich orderEnricherExeecutor = new();
PaymentProcessor paymentProcessorExecutor = new();
Workflow fulfillOrder = new WorkflowBuilder(orderParserExecutor)
.WithName("FulfillOrder")
.WithDescription("Looks up an order by ID and run payment processing")
.AddEdge(orderParserExecutor, orderLookupExecutor)
.AddEdge(orderLookupExecutor, orderEnricherExeecutor)
.AddEdge(orderEnricherExeecutor, paymentProcessorExecutor)
.Build();
//OrderCancel orderArchiverExecutor = new();
//Workflow cancelOrder = new WorkflowBuilder(orderParserExecutor)
// .WithName("CancelOrder")
// .WithDescription("Cancel an order")
// .AddEdge(orderParserExecutor, orderLookupExecutor)
// .AddEdge(orderLookupExecutor, orderArchiverExecutor)
// .Build();
var host = FunctionsApplication.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableOptions(options => options.Workflows.AddWorkflow(fulfillOrder))
.Build();
host.Run();
@@ -1,89 +0,0 @@
# Single Agent Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
## Key Concepts Demonstrated
- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
- Registering agents with the Function app and running them using HTTP.
- Conversation management (via session IDs) for isolated interactions.
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
Bash (Linux/macOS/WSL):
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: text/plain" \
-d "Tell me a joke about a pirate."
```
PowerShell:
```powershell
Invoke-RestMethod -Method Post `
-Uri http://localhost:7071/api/agents/Joker/run `
-ContentType text/plain `
-Body "Tell me a joke about a pirate."
```
You can also send JSON requests:
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me a joke about a pirate."}'
```
To continue a conversation, include the `thread_id` in the query string or JSON body:
```bash
curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me another one."}'
```
The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
```text
Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
```
The expected `application/json` output will look something like:
```json
{
"status": 200,
"thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
"response": {
"Messages": [
{
"AuthorName": "Joker",
"CreatedAt": "2025-11-11T12:00:00.0000000Z",
"Role": "assistant",
"Contents": [
{
"Type": "text",
"Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
}
]
}
],
"Usage": {
"InputTokenCount": 78,
"OutputTokenCount": 36,
"TotalTokenCount": 114
}
}
}
```
@@ -1,14 +0,0 @@
# Default endpoint address for local testing
@authority=http://localhost:7071
### Look up a long order reference id
POST {{authority}}/api/workflows/FulfillOrder/run
Content-Type: text/plain
QWERTY80853
### Look up a short order id
POST {{authority}}/api/workflows/CancelOrder/run
Content-Type: text/plain
12345
@@ -1,20 +0,0 @@
{
"version": "2.0",
"logging": {
"logLevel": {
"Microsoft.Agents.AI.DurableTask": "Information",
"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
"DurableTask": "Information",
"Microsoft.DurableTask": "Information"
}
},
"extensions": {
"durableTask": {
"hubName": "default",
"storageProvider": {
"type": "AzureManaged",
"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
}
}
}
}
@@ -1,48 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>SingleAgent</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<ItemGroup>
<None Include="local.settings.json" />
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -1,38 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
internal sealed class ConcurrentStartExecutor() : Executor<string, string>("ConcurrentStartExecutor")
{
public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// do some initial parsing and validation of the message.
// Return a polished version ith additional metadta.
if (!message.StartsWith("Query for the agent:", StringComparison.OrdinalIgnoreCase))
{
message = "Query for the agent: " + message;
}
return ValueTask.FromResult(message);
}
}
internal sealed class ResultAggregationExecutor() : Executor<string[], string>("ResultAggregationExecutor")
{
/// <summary>
/// Handles incoming messages from the agents and aggregates their responses.
/// </summary>
/// <param name="message">The messages from the parallel agents.</param>
/// <param name="context">Workflow context for accessing workflow services and adding events.</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.
/// The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>A task representing the asynchronous operation.</returns>
public override ValueTask<string> HandleAsync(string[] message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Aggregate all responses from parallel executors
string aggregatedResponse = string.Join("\n---\n", message);
return ValueTask.FromResult($"Aggregated {message.Length} responses:\n{aggregatedResponse}");
}
}
@@ -1,48 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.Hosting;
using OpenAI.Chat;
using SingleAgent;
// Get the Azure OpenAI endpoint and deployment name from environment variables.
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
AIAgent physicist = client.GetChatClient(deploymentName).AsAIAgent("You are an expert in physics. You answer questions from a physics perspective.", "Physicist");
AIAgent chemist = client.GetChatClient(deploymentName).AsAIAgent("You are an expert in chemistry. You answer questions from a chemistry perspective.", "Chemist");
var startExecutor = new ConcurrentStartExecutor();
var aggregationExecutor = new ResultAggregationExecutor();
var workflow = new WorkflowBuilder(startExecutor)
.WithName("ExpertReview")
.AddFanOutEdge(startExecutor, [physicist, chemist])
.AddFanInEdge([physicist, chemist], aggregationExecutor)
.Build();
var host = FunctionsApplication.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableOptions(options =>
{
// Configure workflows
options.Workflows.AddWorkflow(workflow);
})
.Build();
host.Run();
@@ -1,89 +0,0 @@
# Single Agent Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
## Key Concepts Demonstrated
- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
- Registering agents with the Function app and running them using HTTP.
- Conversation management (via session IDs) for isolated interactions.
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
Bash (Linux/macOS/WSL):
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: text/plain" \
-d "Tell me a joke about a pirate."
```
PowerShell:
```powershell
Invoke-RestMethod -Method Post `
-Uri http://localhost:7071/api/agents/Joker/run `
-ContentType text/plain `
-Body "Tell me a joke about a pirate."
```
You can also send JSON requests:
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me a joke about a pirate."}'
```
To continue a conversation, include the `thread_id` in the query string or JSON body:
```bash
curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me another one."}'
```
The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
```text
Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
```
The expected `application/json` output will look something like:
```json
{
"status": 200,
"thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
"response": {
"Messages": [
{
"AuthorName": "Joker",
"CreatedAt": "2025-11-11T12:00:00.0000000Z",
"Role": "assistant",
"Contents": [
{
"Type": "text",
"Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
}
]
}
],
"Usage": {
"InputTokenCount": 78,
"OutputTokenCount": 36,
"TotalTokenCount": 114
}
}
}
```
@@ -1,27 +0,0 @@
//// Copyright (c) Microsoft. All rights reserved.
//using Microsoft.Agents.AI.Workflows;
//namespace SingleAgent;
///// <summary>
///// Routes survey responses to appropriate teams based on rating and category.
///// </summary>
//public sealed class ResponseRouterExecutor() : Executor<string, string>("ResponseRouterExecutor")
//{
// public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
// {
// if (message.Contains("billing", StringComparison.OrdinalIgnoreCase))
// {
// return ValueTask.FromResult("Routed to Billing Team");
// }
// else if (message.Contains("technical", StringComparison.OrdinalIgnoreCase))
// {
// return ValueTask.FromResult("Routed to Technical Support Team");
// }
// else
// {
// return ValueTask.FromResult("Routed to General Support Team");
// }
// }
//}
@@ -1,82 +0,0 @@
//// Copyright (c) Microsoft. All rights reserved.
//using System.Text.Json;
//using System.Text.RegularExpressions;
//using Microsoft.Agents.AI.Workflows;
//namespace SingleAgent;
///// <summary>
///// This executor parses survey responses and produces structured output.
///// Example input: "Rating: 8. The app is good but checkout process is confusing."
///// </summary>
//[System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by workflow framework")]
//internal sealed partial class SurveyResponseParserExecutor() : Executor<string, string>("SurveyResponseParserExecutor")
//{
// private static readonly JsonSerializerOptions s_jsonOptions = new()
// {
// WriteIndented = true
// };
// [GeneratedRegex(@"Rating:\s*(\d+)", RegexOptions.IgnoreCase)]
// private static partial Regex RatingRegex();
// public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
// {
// SurveyResponse response = this.ParseSurveyResponse(message);
// string jsonResult = JsonSerializer.Serialize(response, s_jsonOptions);
// return ValueTask.FromResult(jsonResult);
// }
// private SurveyResponse ParseSurveyResponse(string message)
// {
// // Parse the message to extract rating and comment
// int? rating = null;
// string comment = message;
// // Try to extract rating using pattern "Rating: {number}"
// Match ratingMatch = RatingRegex().Match(message);
// if (ratingMatch.Success && int.TryParse(ratingMatch.Groups[1].Value, out int parsedRating))
// {
// rating = parsedRating;
// // Remove the rating part from the message to get the comment
// // Find the position after the rating number
// int ratingEndIndex = ratingMatch.Index + ratingMatch.Length;
// // Skip any separators (period, comma, dash, etc.) and whitespace
// while (ratingEndIndex < message.Length &&
// (char.IsWhiteSpace(message[ratingEndIndex]) ||
// message[ratingEndIndex] == '.' ||
// message[ratingEndIndex] == ',' ||
// message[ratingEndIndex] == '-'))
// {
// ratingEndIndex++;
// }
// if (ratingEndIndex < message.Length)
// {
// comment = message[ratingEndIndex..].Trim();
// }
// else
// {
// comment = string.Empty;
// }
// }
// // Create and return the structured response
// return new SurveyResponse
// {
// Rating = rating,
// Comment = comment,
// OriginalMessage = message
// };
// }
// private sealed class SurveyResponse
// {
// public int? Rating { get; set; }
// public string Comment { get; set; } = string.Empty;
// public string OriginalMessage { get; set; } = string.Empty;
// }
//}
@@ -1,8 +0,0 @@
# Default endpoint address for local testing
@authority=http://localhost:7071
### Start the workflow
POST {{authority}}/api/workflows/ExpertReview/run
Content-Type: text/plain
What is temperature?
@@ -1,20 +0,0 @@
{
"version": "2.0",
"logging": {
"logLevel": {
"Microsoft.Agents.AI.DurableTask": "Information",
"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
"DurableTask": "Information",
"Microsoft.DurableTask": "Information"
}
},
"extensions": {
"durableTask": {
"hubName": "default",
"storageProvider": {
"type": "AzureManaged",
"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
}
}
}
}
@@ -1,48 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>SingleAgent</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<ItemGroup>
<None Include="local.settings.json" />
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -1,87 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use durable state management in Azure Functions workflows.
// The OrderIdParserExecutor writes a value to shared state, and the EmailSenderExecutor reads it back.
// The state is persisted durably using Durable Entities behind the scenes.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Constants for shared state scopes used across executors.
/// </summary>
internal static class SharedStateConstants
{
public const string MessageScope = "MessageState";
public const string ProcessedMessageKey = "ProcessedMessage";
}
public sealed class Order
{
public Order(string id, decimal amount)
{
this.Id = id;
this.Amount = amount;
}
public string Id { get; }
public decimal Amount { get; }
public string? PaymentReferenceNumber { get; set; }
}
/// <summary>
/// First executor that processes a message and stores the result in shared state.
/// </summary>
internal sealed class OrderIdParserExecutor() : Executor<string, Order>("OrderIdParserExecutor")
{
public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Process the message
string processedMessage = $"Processed: {message}";
// Store the processed message in shared state for the next executor
await context.QueueStateUpdateAsync(
SharedStateConstants.ProcessedMessageKey,
processedMessage,
SharedStateConstants.MessageScope,
cancellationToken);
return GetOrder(message);
}
private static Order GetOrder(string id)
{
// Simulate fetching order details
return new Order(id, 100.0m);
}
}
/// <summary>
/// Second executor that reads the shared state and appends to the message.
/// </summary>
internal sealed class EmailSenderExecutor() : Executor<Order, string>("EmailSenderExecutor")
{
public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Read the processed message from shared state (written by OrderIdParserExecutor)
string? storedMessage = await context.ReadStateAsync<string>(
SharedStateConstants.ProcessedMessageKey,
SharedStateConstants.MessageScope,
cancellationToken);
// Combine with the input message
return storedMessage is not null
? $"From state: [{storedMessage}] | Input: [{message.Id}]"
: $"No state found | Input: [{message.Id}]";
}
}
internal sealed class PaymentProcesserExecutor() : Executor<Order, Order>("PaymentProcesserExecutor")
{
public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Call payment gateway.
message.PaymentReferenceNumber = Guid.NewGuid().ToString().Substring(0, 4);
return message;
}
}
@@ -1,23 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.Hosting;
using SingleAgent;
// Set up an AI agent following the standard Microsoft Agent Framework pattern.
OrderIdParserExecutor orderParser = new();
PaymentProcesserExecutor paymentProcessor = new();
EmailSenderExecutor emailSender = new();
WorkflowBuilder builder = new(orderParser);
builder.AddEdge(orderParser, paymentProcessor);
builder.AddEdge(paymentProcessor, emailSender).WithOutputFrom(emailSender);
var workflow = builder.WithName("ProcessOrder").Build();
FunctionsApplication.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableOptions(options => options.Workflows.AddWorkflow(workflow))
.Build().Run();
@@ -1,89 +0,0 @@
# Single Agent Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
## Key Concepts Demonstrated
- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
- Registering agents with the Function app and running them using HTTP.
- Conversation management (via session IDs) for isolated interactions.
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
Bash (Linux/macOS/WSL):
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: text/plain" \
-d "Tell me a joke about a pirate."
```
PowerShell:
```powershell
Invoke-RestMethod -Method Post `
-Uri http://localhost:7071/api/agents/Joker/run `
-ContentType text/plain `
-Body "Tell me a joke about a pirate."
```
You can also send JSON requests:
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me a joke about a pirate."}'
```
To continue a conversation, include the `thread_id` in the query string or JSON body:
```bash
curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me another one."}'
```
The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
```text
Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
```
The expected `application/json` output will look something like:
```json
{
"status": 200,
"thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
"response": {
"Messages": [
{
"AuthorName": "Joker",
"CreatedAt": "2025-11-11T12:00:00.0000000Z",
"Role": "assistant",
"Contents": [
{
"Type": "text",
"Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
}
]
}
],
"Usage": {
"InputTokenCount": 78,
"OutputTokenCount": 36,
"TotalTokenCount": 114
}
}
}
```
@@ -1,14 +0,0 @@
# Default endpoint address for local testing
@authority=http://localhost:7071
### Start the workflow
POST {{authority}}/api/workflows/ProcessOrder/run
Content-Type: text/plain
123
### Start second workflow
POST {{authority}}/api/workflows/ProcessOrder/run
Content-Type: text/plain
456
@@ -1,20 +0,0 @@
{
"version": "2.0",
"logging": {
"logLevel": {
"Microsoft.Agents.AI.DurableTask": "Information",
"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
"DurableTask": "Information",
"Microsoft.DurableTask": "Information"
}
},
"extensions": {
"durableTask": {
"hubName": "default",
"storageProvider": {
"type": "AzureManaged",
"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
}
}
}
}
@@ -1,51 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<AzureFunctionsVersion>v4</AzureFunctionsVersion>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<!-- The Functions build tools don't like namespaces that start with a number -->
<AssemblyName>SingleAgent</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<FrameworkReference Include="Microsoft.AspNetCore.App" />
</ItemGroup>
<ItemGroup>
<None Include="local.settings.json">
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
<CopyToPublishDirectory>Never</CopyToPublishDirectory>
</None>
</ItemGroup>
<!-- Azure Functions packages -->
<ItemGroup>
<PackageReference Include="Microsoft.Azure.Functions.Worker" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -1,98 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use durable state management in Azure Functions workflows.
// The OrderIdParserExecutor writes a value to shared state, and the FraudValidation reads it back.
// The state is persisted durably using Durable Entities behind the scenes.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Constants for shared state scopes used across executors.
/// </summary>
internal static class SharedStateConstants
{
public const string MessageScope = "MessageState";
public const string ProcessedMessageKey = "ProcessedMessage";
}
internal sealed class Order
{
public Order(string id, decimal amount)
{
this.Id = id;
this.Amount = amount;
}
public string Id { get; }
public decimal Amount { get; }
public Customer? Customer { get; set; }
public string? PaymentReferenceNumber { get; set; }
}
public sealed record Customer(int Id, string Name, bool IsBlocked);
internal sealed class OrderIdParserExecutor() : Executor<string, Order>("OrderIdParserExecutor")
{
public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
return GetOrder(message);
}
private static Order GetOrder(string id)
{
// Simulate fetching order details
return new Order(id, 100.0m);
}
}
internal sealed class OrderEnrich() : Executor<Order, Order>("EnrichOrder")
{
public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
message.Customer = GetCustomerForOrder(message.Id);
return message;
}
private static Customer GetCustomerForOrder(string orderId)
{
if (orderId.Contains('B'))
{
return new Customer(101, "George", true);
}
return new Customer(201, "Jerry", false);
}
}
internal sealed class PaymentProcesserExecutor() : Executor<Order, Order>("PaymentProcesserExecutor")
{
public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Call payment gateway.
message.PaymentReferenceNumber = Guid.NewGuid().ToString().Substring(0, 4);
return message;
}
}
internal sealed class NotifyFraudExecutor() : Executor<Order, string>("NotifyFraud")
{
public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Notify fraud team.
return $"Order {message.Id} flagged as fraudulent for customer {message.Customer?.Name}.";
}
}
internal static class OrderRouteConditions
{
/// <summary>
/// Returns a condition that evaluates to true when the customer is blocked.
/// </summary>
internal static Func<Order?, bool> WhenBlocked() => order => order?.Customer?.IsBlocked == true;
/// <summary>
/// Returns a condition that evaluates to true when the customer is not blocked.
/// </summary>
internal static Func<Order?, bool> WhenNotBlocked() => order => order?.Customer?.IsBlocked == false;
}
@@ -1,26 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.Hosting;
using SingleAgent;
OrderIdParserExecutor orderParser = new();
OrderEnrich orderEnrich = new();
PaymentProcesserExecutor paymentProcessor = new();
NotifyFraudExecutor notifyFraud = new();
WorkflowBuilder builder = new(orderParser);
builder
.AddEdge(orderParser, orderEnrich)
.AddEdge(orderEnrich, notifyFraud, condition: OrderRouteConditions.WhenBlocked())
.AddEdge(orderEnrich, paymentProcessor, condition: OrderRouteConditions.WhenNotBlocked());
var workflow = builder.WithName("AuditOrder").Build();
FunctionsApplication.CreateBuilder(args)
.ConfigureFunctionsWebApplication()
.ConfigureDurableOptions(options => options.Workflows.AddWorkflow(workflow))
.Build()
.Run();
@@ -1,89 +0,0 @@
# Single Agent Sample
This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
## Key Concepts Demonstrated
- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
- Registering agents with the Function app and running them using HTTP.
- Conversation management (via session IDs) for isolated interactions.
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
Bash (Linux/macOS/WSL):
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: text/plain" \
-d "Tell me a joke about a pirate."
```
PowerShell:
```powershell
Invoke-RestMethod -Method Post `
-Uri http://localhost:7071/api/agents/Joker/run `
-ContentType text/plain `
-Body "Tell me a joke about a pirate."
```
You can also send JSON requests:
```bash
curl -X POST http://localhost:7071/api/agents/Joker/run \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me a joke about a pirate."}'
```
To continue a conversation, include the `thread_id` in the query string or JSON body:
```bash
curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"message": "Tell me another one."}'
```
The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
```text
Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
```
The expected `application/json` output will look something like:
```json
{
"status": 200,
"thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
"response": {
"Messages": [
{
"AuthorName": "Joker",
"CreatedAt": "2025-11-11T12:00:00.0000000Z",
"Role": "assistant",
"Contents": [
{
"Type": "text",
"Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
}
]
}
],
"Usage": {
"InputTokenCount": 78,
"OutputTokenCount": 36,
"TotalTokenCount": 114
}
}
}
```
@@ -1,14 +0,0 @@
# Default endpoint address for local testing
@authority=http://localhost:7071
### Start the workflow
POST {{authority}}/api/workflows/ProcessOrder/run
Content-Type: text/plain
B123
### Start second workflow
POST {{authority}}/api/workflows/ProcessOrder/run
Content-Type: text/plain
456
@@ -1,20 +0,0 @@
{
"version": "2.0",
"logging": {
"logLevel": {
"Microsoft.Agents.AI.DurableTask": "Information",
"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
"DurableTask": "Information",
"Microsoft.DurableTask": "Information"
}
},
"extensions": {
"durableTask": {
"hubName": "default",
"storageProvider": {
"type": "AzureManaged",
"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
}
}
}
}
@@ -60,8 +60,8 @@ Console.ResetColor();
Console.WriteLine("Enter a message for the Joker agent (or 'exit' to quit):");
Console.WriteLine();
// Create a thread for the conversation
AgentThread thread = await agentProxy.GetNewThreadAsync();
// Create a session for the conversation
AgentSession session = await agentProxy.GetNewSessionAsync();
while (true)
{
@@ -85,7 +85,7 @@ while (true)
{
AgentResponse agentResponse = await agentProxy.RunAsync(
message: input,
thread: thread,
session: session,
cancellationToken: CancellationToken.None);
Console.WriteLine(agentResponse.Text);
@@ -33,7 +33,7 @@ AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
// Single agent used by the orchestration to demonstrate sequential calls on the same thread.
// Single agent used by the orchestration to demonstrate sequential calls on the same session.
const string WriterName = "WriterAgent";
const string WriterInstructions =
"""
@@ -47,15 +47,15 @@ AIAgent writerAgent = client.GetChatClient(deploymentName).AsAIAgent(WriterInstr
static async Task<string> RunOrchestratorAsync(TaskOrchestrationContext context)
{
DurableAIAgent writer = context.GetAgent("WriterAgent");
AgentThread writerThread = await writer.GetNewThreadAsync();
AgentSession writerSession = await writer.GetNewSessionAsync();
AgentResponse<TextResponse> initial = await writer.RunAsync<TextResponse>(
message: "Write a concise inspirational sentence about learning.",
thread: writerThread);
session: writerSession);
AgentResponse<TextResponse> refined = await writer.RunAsync<TextResponse>(
message: $"Improve this further while keeping it under 25 words: {initial.Result.Text}",
thread: writerThread);
session: writerSession);
return refined.Result.Text;
}
@@ -1,11 +1,11 @@
# Single Agent Orchestration Sample
This sample demonstrates how to use the durable agents extension to create a simple console app that orchestrates sequential calls to a single AI agent using the same conversation thread for context continuity.
This sample demonstrates how to use the durable agents extension to create a simple console app that orchestrates sequential calls to a single AI agent using the same session for context continuity.
## Key Concepts Demonstrated
- Orchestrating multiple interactions with the same agent in a deterministic order
- Using the same `AgentThread` across multiple calls to maintain conversational context
- Using the same `AgentSession` across multiple calls to maintain conversational context
- Durable orchestration with automatic checkpointing and resumption from failures
- Waiting for orchestration completion using `WaitForInstanceCompletionAsync`
@@ -56,7 +56,7 @@ static async Task<string> RunOrchestratorAsync(TaskOrchestrationContext context,
{
// Get the spam detection agent
DurableAIAgent spamDetectionAgent = context.GetAgent(SpamDetectionAgentName);
AgentThread spamThread = await spamDetectionAgent.GetNewThreadAsync();
AgentSession spamSession = await spamDetectionAgent.GetNewSessionAsync();
// Step 1: Check if the email is spam
AgentResponse<DetectionResult> spamDetectionResponse = await spamDetectionAgent.RunAsync<DetectionResult>(
@@ -66,7 +66,7 @@ static async Task<string> RunOrchestratorAsync(TaskOrchestrationContext context,
Email ID: {email.EmailId}
Content: {email.EmailContent}
""",
thread: spamThread);
session: spamSession);
DetectionResult result = spamDetectionResponse.Result;
// Step 2: Conditional logic based on spam detection result
@@ -78,7 +78,7 @@ static async Task<string> RunOrchestratorAsync(TaskOrchestrationContext context,
// Generate and send response for legitimate email
DurableAIAgent emailAssistantAgent = context.GetAgent(EmailAssistantAgentName);
AgentThread emailThread = await emailAssistantAgent.GetNewThreadAsync();
AgentSession emailSession = await emailAssistantAgent.GetNewSessionAsync();
AgentResponse<EmailResponse> emailAssistantResponse = await emailAssistantAgent.RunAsync<EmailResponse>(
message:
@@ -88,7 +88,7 @@ static async Task<string> RunOrchestratorAsync(TaskOrchestrationContext context,
Email ID: {email.EmailId}
Content: {email.EmailContent}
""",
thread: emailThread);
session: emailSession);
EmailResponse emailResponse = emailAssistantResponse.Result;
@@ -48,7 +48,7 @@ static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context,
{
// Get the writer agent
DurableAIAgent writerAgent = context.GetAgent("WriterAgent");
AgentThread writerThread = await writerAgent.GetNewThreadAsync();
AgentSession writerSession = await writerAgent.GetNewSessionAsync();
// Set initial status
context.SetCustomStatus($"Starting content generation for topic: {input.Topic}");
@@ -56,7 +56,7 @@ static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context,
// Step 1: Generate initial content
AgentResponse<GeneratedContent> writerResponse = await writerAgent.RunAsync<GeneratedContent>(
message: $"Write a short article about '{input.Topic}' in less than 300 words.",
thread: writerThread);
session: writerSession);
GeneratedContent content = writerResponse.Result;
// Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops
@@ -105,7 +105,7 @@ static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context,
Human Feedback: {humanResponse.Feedback}
""",
thread: writerThread);
session: writerSession);
content = writerResponse.Result;
}
@@ -59,7 +59,7 @@ static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context,
{
// Get the writer agent
DurableAIAgent writerAgent = context.GetAgent(WriterAgentName);
AgentThread writerThread = await writerAgent.GetNewThreadAsync();
AgentSession writerSession = await writerAgent.GetNewSessionAsync();
// Set initial status
context.SetCustomStatus($"Starting content generation for topic: {input.Topic}");
@@ -67,7 +67,7 @@ static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context,
// Step 1: Generate initial content
AgentResponse<GeneratedContent> writerResponse = await writerAgent.RunAsync<GeneratedContent>(
message: $"Write a short article about '{input.Topic}'.",
thread: writerThread);
session: writerSession);
GeneratedContent content = writerResponse.Result;
// Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops
@@ -141,7 +141,7 @@ static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context,
Human Feedback: {humanResponse.Feedback}
""",
thread: writerThread);
session: writerSession);
content = writerResponse.Result;
}
@@ -203,7 +203,7 @@ static async Task<object> GetWorkflowStatusAsync(
[Description("The instance ID of the workflow to check")] string instanceId,
[Description("Whether to include detailed information")] bool includeDetails = true)
{
// Get the current agent context using the thread-static property
// Get the current agent context using the session-static property
OrchestrationMetadata? status = await DurableAgentContext.Current.GetOrchestrationStatusAsync(
instanceId,
includeDetails);
@@ -298,8 +298,8 @@ Console.ResetColor();
Console.WriteLine("Enter a topic for the Publisher agent to write about (or 'exit' to quit):");
Console.WriteLine();
// Create a thread for the conversation
AgentThread thread = await agentProxy.GetNewThreadAsync();
// Create a session for the conversation
AgentSession session = await agentProxy.GetNewSessionAsync();
using CancellationTokenSource cts = new();
Console.CancelKeyPress += (sender, e) =>
@@ -330,7 +330,7 @@ while (!cts.Token.IsCancellationRequested)
{
AgentResponse agentResponse = await agentProxy.RunAsync(
message: input,
thread: thread,
session: session,
cancellationToken: cts.Token);
Console.WriteLine(agentResponse.Text);
@@ -304,9 +304,9 @@ if (string.IsNullOrWhiteSpace(prompt) || prompt.Equals("exit", StringComparison.
return;
}
// Create a new agent thread
AgentThread thread = await agentProxy.GetNewThreadAsync();
AgentSessionId sessionId = thread.GetService<AgentSessionId>();
// Create a new agent session
AgentSession session = await agentProxy.GetNewSessionAsync();
AgentSessionId sessionId = session.GetService<AgentSessionId>();
string conversationId = sessionId.ToString();
Console.ForegroundColor = ConsoleColor.Green;
@@ -316,7 +316,7 @@ Console.ResetColor();
// Run the agent in the background
DurableAgentRunOptions options = new() { IsFireAndForget = true };
await agentProxy.RunAsync(prompt, thread, options, CancellationToken.None);
await agentProxy.RunAsync(prompt, session, options, CancellationToken.None);
bool streamCompleted = false;
while (!streamCompleted)
@@ -61,12 +61,12 @@ public sealed class RedisStreamResponseHandler : IAgentResponseHandler
DurableAgentContext context = DurableAgentContext.Current
?? throw new InvalidOperationException("DurableAgentContext.Current is not set. This handler must be used within a durable agent context.");
// Get conversation ID from the current thread context, which is only available in the context of
// Get conversation ID from the current session context, which is only available in the context of
// a durable agent execution.
string conversationId = context.CurrentThread.GetService<AgentSessionId>().ToString();
string conversationId = context.CurrentSession.GetService<AgentSessionId>().ToString();
if (string.IsNullOrEmpty(conversationId))
{
throw new InvalidOperationException("Unable to determine conversation ID from the current thread.");
throw new InvalidOperationException("Unable to determine conversation ID from the current session.");
}
string streamKey = GetStreamKey(conversationId);
@@ -1,29 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<AssemblyName>SingleWorkflow</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
<PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.DurableTask" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -1,128 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Represents an order in the system.
/// </summary>
internal sealed class Order
{
public required string Id { get; set; }
public DateTime OrderDate { get; set; }
public bool IsCancelled { get; set; }
public required Customer Customer { get; set; }
}
/// <summary>
/// Represents a customer associated with an order.
/// </summary>
internal sealed class Customer
{
public string Name { get; set; } = string.Empty;
public string Email { get; set; } = string.Empty;
}
/// <summary>
/// Looks up an order by its ID.
/// This activity simulates a database lookup with a 2 second delay.
/// </summary>
internal sealed class OrderLookup() : Executor<string, Order>("OrderLookup")
{
public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Log that this activity is executing (not replaying)
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Magenta;
Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
Console.WriteLine($"│ [Activity] OrderLookup: Starting lookup for order '{message}'");
Console.ResetColor();
// Simulate database lookup with delay
await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
Order order = new()
{
Id = message,
OrderDate = DateTime.UtcNow.AddDays(-1),
IsCancelled = false,
Customer = new Customer { Name = "Jerry", Email = "jerry@example.com" }
};
Console.ForegroundColor = ConsoleColor.Magenta;
Console.WriteLine($"│ [Activity] OrderLookup: Found order '{message}' for customer '{order.Customer.Name}'");
Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
Console.ResetColor();
return order;
}
}
/// <summary>
/// Cancels an order.
/// This activity simulates a slow cancellation process with a 5 second delay.
/// Try pressing Ctrl+C during this activity to see durability in action!
/// </summary>
internal sealed class OrderCancel() : Executor<Order, Order>("OrderCancel")
{
public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Log that this activity is executing (not replaying)
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
Console.WriteLine($"│ [Activity] OrderCancel: Starting cancellation for order '{message.Id}'");
Console.WriteLine("│ [Activity] OrderCancel: ⚠️ This takes 5 seconds - try Ctrl+C!");
Console.ResetColor();
// Simulate a slow cancellation process (e.g., calling external payment system)
// This is where you can kill the process to test durability
for (int i = 1; i <= 10; i++)
{
await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
Console.ForegroundColor = ConsoleColor.DarkYellow;
Console.WriteLine($"│ [Activity] OrderCancel: Processing... {i}/10 seconds");
Console.ResetColor();
}
// Mark the order as cancelled
message.IsCancelled = true;
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($"│ [Activity] OrderCancel: ✓ Order '{message.Id}' has been cancelled");
Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
Console.ResetColor();
return message;
}
}
/// <summary>
/// Sends a cancellation confirmation email to the customer.
/// This activity simulates sending an email with a 1 second delay.
/// </summary>
internal sealed class SendEmail() : Executor<Order, string>("SendEmail")
{
public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Log that this activity is executing (not replaying)
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Cyan;
Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
Console.WriteLine($"│ [Activity] SendEmail: Sending email to '{message.Customer.Email}'...");
Console.ResetColor();
// Simulate email sending delay
await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
string result = $"Cancellation email sent to {message.Customer.Email} for order {message.Id}.";
Console.ForegroundColor = ConsoleColor.Cyan;
Console.WriteLine("│ [Activity] SendEmail: ✓ Email sent successfully!");
Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
Console.ResetColor();
return result;
}
}
@@ -1,108 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to run a workflow as a durable orchestration from a console application.
// The workflow consists of three executors: OrderLookup -> OrderCancel -> SendEmail.
// It uses the DurableExecutionEnvironment which is injected via DI.
//
// DURABILITY DEMONSTRATION:
// - Each activity has artificial delays to simulate real-world operations
// - Stop the app (Ctrl+C or stop debugging) during the OrderCancel activity (5 seconds)
// - Restart the application - the workflow will automatically resume!
// - The Durable Task Framework will skip already-completed activities (OrderLookup)
// and continue from where it left off (OrderCancel)
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Agents.AI.Workflows;
using Microsoft.DurableTask.Client.AzureManaged;
using Microsoft.DurableTask.Worker.AzureManaged;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using SingleAgent;
// Get DTS connection string from environment variable
string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
// Define executors for the workflow
OrderLookup orderLookup = new();
OrderCancel orderCancel = new();
SendEmail sendEmail = new();
// Build the CancelOrder workflow: OrderLookup -> OrderCancel -> SendEmail
Workflow cancelOrder = new WorkflowBuilder(orderLookup)
.WithName("CancelOrder")
.WithDescription("Cancel an order and notify the customer")
.AddEdge(orderLookup, orderCancel)
.AddEdge(orderCancel, sendEmail)
.Build();
IHost host = Host.CreateDefaultBuilder(args)
.ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
.ConfigureServices(services =>
{
services.ConfigureDurableWorkflows(
options => options.Workflows.AddWorkflow(cancelOrder),
workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
})
.Build();
await host.StartAsync();
// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
Console.WriteLine("Durable Workflow Sample");
Console.WriteLine("Workflow: OrderLookup (2s) -> OrderCancel (5s) -> SendEmail (1s)");
Console.WriteLine();
Console.WriteLine("TIP: Stop the app during OrderCancel to test durability.");
Console.WriteLine(" Restart - it will resume from where it left off.");
Console.WriteLine();
Console.WriteLine("Checking for pending workflows...");
await Task.Delay(TimeSpan.FromSeconds(2));
Console.WriteLine();
Console.WriteLine("Enter an order ID (or 'exit'):");
while (true)
{
Console.Write("> ");
string? input = Console.ReadLine();
if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
{
break;
}
try
{
await StartNewWorkflowAsync(input, cancelOrder, workflowClient);
}
catch (Exception ex)
{
Console.WriteLine($"Error: {ex.Message}");
}
Console.WriteLine();
}
await host.StopAsync();
// Start a new workflow using IWorkflowClient (no DurableTaskClient needed)
async Task StartNewWorkflowAsync(string orderId, Workflow workflow, IWorkflowClient client)
{
Console.WriteLine($"Starting workflow for order '{orderId}'...");
// RunAsync returns IRun, cast to DurableRun for durable-specific features like WaitForCompletionAsync
await using DurableRun run = (DurableRun)await client.RunAsync(workflow, orderId);
Console.WriteLine($"Instance ID: {run.InstanceId}");
try
{
string? result = await run.WaitForCompletionAsync();
Console.WriteLine($"Completed: {result}");
}
catch (InvalidOperationException ex)
{
Console.WriteLine($"Failed: {ex.Message}");
}
}
@@ -1,156 +0,0 @@
# Single Workflow Console Sample
This sample demonstrates how to run a workflow as a durable orchestration from a console application using the Durable Task Framework. It showcases the **durability** aspect - if the process crashes mid-execution, the workflow can be resumed without re-executing completed activities.
## Overview
The sample implements an order cancellation workflow with three executors, each with artificial delays to simulate real-world operations:
1. **OrderLookup** (2 seconds) - Looks up an order by its ID
2. **OrderCancel** (5 seconds) - Marks the order as cancelled
3. **SendEmail** (1 second) - Sends a cancellation confirmation email
## Durability Demonstration
The key feature of Durable Task Framework is **durability**:
- **Activity results are persisted**: When an activity completes, its result is saved
- **Orchestrations are replayed**: On restart, the orchestration replays from the beginning
- **Completed activities are skipped**: The framework uses cached results for completed activities
- **Failed activities are retried**: If an activity was interrupted, it runs again
- **Automatic resume**: When the worker starts, it automatically picks up any pending work!
### Try It Yourself
1. Start the application and enter an order ID (e.g., `12345`)
2. Stop the app (Ctrl+C or stop debugging) during the `OrderCancel` activity (5 seconds)
3. Restart the application
4. **Watch for automatic resume!** The worker automatically picks up the interrupted workflow
5. Observe that `OrderLookup` is NOT re-executed (its result was cached)
6. `OrderCancel` restarts from the beginning (it didn't complete)
7. `SendEmail` runs after `OrderCancel` completes
The durability is completely automatic - no manual intervention needed!
## Workflow Flow
```
User Input (Order ID)
?
?
???????????????????
? OrderLookup ? ? 2 second delay (database lookup)
? (2 seconds) ?
???????????????????
?
?
???????????????????
? OrderCancel ? ? 5 second delay - TRY INTERRUPTING HERE!
? (5 seconds) ?
???????????????????
?
?
???????????????????
? SendEmail ? ? 1 second delay (email sending)
? (1 second) ?
???????????????????
?
?
Result
```
## Key Concepts Demonstrated
- **ConfigureDurableWorkflows** - Simplified API for registering workflows
- **DurableExecution.RunAsync** - Start a new workflow (similar to InProcessExecution)
- **DurableRun** - Handle to monitor and interact with a running workflow
- **Automatic Resume** - Interrupted workflows continue automatically on restart
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup, you can run the sample:
```bash
cd dotnet/samples/DurableAgents/ConsoleApps/08_SingleWorkflow
dotnet run --framework net10.0
```
### Sample Session
```text
??????????????????????????????????????????????????????????????????????
? Durable Workflow Console Sample ?
??????????????????????????????????????????????????????????????????????
? This sample demonstrates durability in workflows. ?
? Workflow: OrderLookup (2s) -> OrderCancel (5s) -> SendEmail (1s) ?
??????????????????????????????????????????????????????????????????????
?? TIP: Stop the app during OrderCancel (5 seconds) to test durability!
Restart the app - it will automatically resume from where it left off.
? Checking for pending workflows...
Enter an order ID to start a new workflow (or 'exit' to quit):
Order ID: 12345
Starting workflow for order '12345'...
Instance ID: abc123-def456-...
???????????????????????????????????????????????????????????????????
? [Activity] OrderLookup: Starting lookup for order '12345'
? [Activity] OrderLookup: Found order '12345' for customer 'Jerry'
???????????????????????????????????????????????????????????????????
???????????????????????????????????????????????????????????????????
? [Activity] OrderCancel: Starting cancellation for order '12345'
? [Activity] OrderCancel: ?? This takes 5 seconds - try Ctrl+C!
? [Activity] OrderCancel: Processing... 1/5 seconds
? [Activity] OrderCancel: Processing... 2/5 seconds
^C <-- User stops the app here
[After restart...]
? Checking for pending workflows...
???????????????????????????????????????????????????????????????????
? [Activity] OrderCancel: Starting cancellation for order '12345' <-- Auto-resumed!
? [Activity] OrderCancel: ?? This takes 5 seconds - try Ctrl+C!
? [Activity] OrderCancel: Processing... 1/5 seconds
...
? [Activity] OrderCancel: ? Order '12345' has been cancelled
???????????????????????????????????????????????????????????????????
???????????????????????????????????????????????????????????????????
? [Activity] SendEmail: Sending email to 'jerry@example.com'...
? [Activity] SendEmail: ? Email sent successfully!
???????????????????????????????????????????????????????????????????
Enter an order ID to start a new workflow (or 'exit' to quit):
Order ID: _
```
Notice that when resumed:
- `OrderLookup` was **NOT re-executed** (result was cached by Durable Task)
- `OrderCancel` **restarted automatically** (it was interrupted before completing)
- `SendEmail` ran normally after `OrderCancel` completed
## Viewing Workflow State
You can view the state of the workflow in the Durable Task Scheduler dashboard:
1. Open your browser and navigate to `http://localhost:8082`
2. In the dashboard, you can view the state of the orchestration, including activity history and current state
## Related Samples
- [01_SingleAgent](../01_SingleAgent) - Single agent console sample
- [02_AgentOrchestration_Chaining](../02_AgentOrchestration_Chaining) - Agent chaining with durable orchestration
- [05_AgentOrchestration_HITL](../05_AgentOrchestration_HITL) - Human-in-the-loop orchestration
- [09_Workflow](../../AzureFunctions/09_Workflow) - Azure Functions version of workflow hosting
@@ -1,29 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<AssemblyName>SubWorkflows</AssemblyName>
<RootNamespace>SubWorkflows</RootNamespace>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
<PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.DurableTask" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -1,266 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SubWorkflows;
// ============================================
// Order Processing Models
// ============================================
/// <summary>
/// Represents an order being processed.
/// </summary>
internal sealed class OrderInfo
{
public required string OrderId { get; set; }
public decimal Amount { get; set; }
public string? PaymentTransactionId { get; set; }
public string? InventoryReservationId { get; set; }
public string? TrackingNumber { get; set; }
public string? Carrier { get; set; }
}
// ============================================
// Main Workflow Executors
// ============================================
/// <summary>
/// Entry point executor that receives the order ID and creates an OrderInfo object.
/// </summary>
internal sealed class OrderReceived() : Executor<string, OrderInfo>("OrderReceived")
{
public override ValueTask<OrderInfo> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Cyan;
Console.WriteLine($"[OrderReceived] Processing order '{message}'");
Console.ResetColor();
OrderInfo order = new()
{
OrderId = message,
Amount = 99.99m // Simulated order amount
};
return ValueTask.FromResult(order);
}
}
/// <summary>
/// Final executor that outputs the completed order summary.
/// </summary>
internal sealed class OrderCompleted() : Executor<OrderInfo, string>("OrderCompleted")
{
public override ValueTask<string> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
Console.WriteLine($"│ [OrderCompleted] Order '{message.OrderId}' successfully processed!");
Console.WriteLine($"│ Payment: {message.PaymentTransactionId}");
Console.WriteLine($"│ Inventory: {message.InventoryReservationId}");
Console.WriteLine($"│ Shipping: {message.Carrier} - {message.TrackingNumber}");
Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
Console.ResetColor();
return ValueTask.FromResult($"Order {message.OrderId} completed. Tracking: {message.TrackingNumber}");
}
}
// ============================================
// Payment Sub-Workflow Executors
// ============================================
/// <summary>
/// Validates payment information for an order.
/// </summary>
internal sealed class ValidatePayment() : Executor<OrderInfo, OrderInfo>("ValidatePayment")
{
public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($" [Payment/ValidatePayment] Validating payment for order '{message.OrderId}'...");
Console.ResetColor();
await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($" [Payment/ValidatePayment] Payment validated for ${message.Amount}");
Console.ResetColor();
return message;
}
}
// ============================================
// Fraud Check Sub-Sub-Workflow Executors (Level 2 nesting)
// ============================================
/// <summary>
/// Analyzes transaction patterns for potential fraud.
/// </summary>
internal sealed class AnalyzePatterns() : Executor<OrderInfo, OrderInfo>("AnalyzePatterns")
{
public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.ForegroundColor = ConsoleColor.DarkYellow;
Console.WriteLine($" [Payment/FraudCheck/AnalyzePatterns] Analyzing patterns for order '{message.OrderId}'...");
Console.ResetColor();
await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
Console.ForegroundColor = ConsoleColor.DarkYellow;
Console.WriteLine(" [Payment/FraudCheck/AnalyzePatterns] ✓ Pattern analysis complete");
Console.ResetColor();
return message;
}
}
/// <summary>
/// Calculates a risk score for the transaction.
/// </summary>
internal sealed class CalculateRiskScore() : Executor<OrderInfo, OrderInfo>("CalculateRiskScore")
{
public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.ForegroundColor = ConsoleColor.DarkYellow;
Console.WriteLine($" [Payment/FraudCheck/CalculateRiskScore] Calculating risk score for order '{message.OrderId}'...");
Console.ResetColor();
await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
int riskScore = new Random().Next(1, 100);
Console.ForegroundColor = ConsoleColor.DarkYellow;
Console.WriteLine($" [Payment/FraudCheck/CalculateRiskScore] ✓ Risk score: {riskScore}/100 (Low risk)");
Console.ResetColor();
return message;
}
}
/// <summary>
/// Charges the payment for an order.
/// </summary>
internal sealed class ChargePayment() : Executor<OrderInfo, OrderInfo>("ChargePayment")
{
public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($" [Payment/ChargePayment] Charging ${message.Amount} for order '{message.OrderId}'...");
Console.ResetColor();
await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
message.PaymentTransactionId = $"TXN-{Guid.NewGuid().ToString("N")[..8].ToUpperInvariant()}";
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($" [Payment/ChargePayment] ✓ Payment processed: {message.PaymentTransactionId}");
Console.ResetColor();
return message;
}
}
// ============================================
// Inventory Sub-Workflow Executors
// ============================================
/// <summary>
/// Checks inventory availability for an order.
/// </summary>
internal sealed class CheckInventory() : Executor<OrderInfo, OrderInfo>("CheckInventory")
{
public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Magenta;
Console.WriteLine($" [Inventory/CheckInventory] Checking inventory for order '{message.OrderId}'...");
Console.ResetColor();
await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
Console.ForegroundColor = ConsoleColor.Magenta;
Console.WriteLine(" [Inventory/CheckInventory] ✓ Items available in stock");
Console.ResetColor();
return message;
}
}
/// <summary>
/// Reserves inventory for an order.
/// </summary>
internal sealed class ReserveInventory() : Executor<OrderInfo, OrderInfo>("ReserveInventory")
{
public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.ForegroundColor = ConsoleColor.Magenta;
Console.WriteLine($" [Inventory/ReserveInventory] Reserving items for order '{message.OrderId}'...");
Console.ResetColor();
await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
message.InventoryReservationId = $"RES-{Guid.NewGuid().ToString("N")[..8].ToUpperInvariant()}";
Console.ForegroundColor = ConsoleColor.Magenta;
Console.WriteLine($" [Inventory/ReserveInventory] ✓ Reserved: {message.InventoryReservationId}");
Console.ResetColor();
return message;
}
}
// ============================================
// Shipping Sub-Workflow Executors
// ============================================
/// <summary>
/// Selects a shipping carrier for an order.
/// </summary>
internal sealed class SelectCarrier() : Executor<OrderInfo, OrderInfo>("SelectCarrier")
{
public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Blue;
Console.WriteLine($" [Shipping/SelectCarrier] Selecting carrier for order '{message.OrderId}'...");
Console.ResetColor();
await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
message.Carrier = message.Amount > 50 ? "Express" : "Standard";
Console.ForegroundColor = ConsoleColor.Blue;
Console.WriteLine($" [Shipping/SelectCarrier] ✓ Selected carrier: {message.Carrier}");
Console.ResetColor();
return message;
}
}
/// <summary>
/// Creates shipment and generates tracking number.
/// </summary>
internal sealed class CreateShipment() : Executor<OrderInfo, OrderInfo>("CreateShipment")
{
public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.ForegroundColor = ConsoleColor.Blue;
Console.WriteLine($" [Shipping/CreateShipment] Creating shipment for order '{message.OrderId}'...");
Console.ResetColor();
await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
message.TrackingNumber = $"TRACK-{Guid.NewGuid().ToString("N")[..10].ToUpperInvariant()}";
Console.ForegroundColor = ConsoleColor.Blue;
Console.WriteLine($" [Shipping/CreateShipment] ✓ Shipment created: {message.TrackingNumber}");
Console.ResetColor();
return message;
}
}
@@ -1,197 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use sub-workflows within a durable orchestration.
// Sub-workflows allow you to compose complex workflows from simpler, reusable components.
//
// The sample implements an order processing workflow with three sub-workflows:
// 1. PaymentProcessing - Validates and processes payment
// - Contains a nested FraudCheck sub-workflow (Level 2 nesting)
// 2. InventoryManagement - Checks and reserves inventory
// 3. ShippingArrangement - Arranges shipping and generates tracking
//
// The FraudCheck sub-workflow demonstrates Level 2 nesting (sub-workflow within sub-workflow):
// - AnalyzePatterns - Analyzes transaction patterns
// - CalculateRiskScore - Calculates fraud risk score
//
// Each sub-workflow runs as a separate orchestration instance, visible in the DTS dashboard.
// This provides:
// - Modular, reusable workflow components
// - Independent checkpointing and replay
// - Hierarchical visualization in the dashboard (including nested sub-workflows)
// - Failure isolation between parent and child workflows
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Agents.AI.Workflows;
using Microsoft.DurableTask.Client.AzureManaged;
using Microsoft.DurableTask.Worker.AzureManaged;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using SubWorkflows;
// Get DTS connection string from environment variable
string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
// ============================================
// Step 1: Build the Fraud Check sub-sub-workflow (Level 2 nesting)
// ============================================
AnalyzePatterns analyzePatterns = new();
CalculateRiskScore calculateRiskScore = new();
Workflow fraudCheckWorkflow = new WorkflowBuilder(analyzePatterns)
.WithName("SubFraudCheck")
.WithDescription("Analyzes transaction patterns and calculates risk score")
.AddEdge(analyzePatterns, calculateRiskScore)
.Build();
// ============================================
// Step 2: Build the Payment Processing sub-workflow (now with nested sub-workflow)
// ============================================
ValidatePayment validatePayment = new();
ExecutorBinding fraudCheckExecutor = fraudCheckWorkflow.BindAsExecutor("FraudCheck");
ChargePayment chargePayment = new();
Workflow paymentWorkflow = new WorkflowBuilder(validatePayment)
.WithName("SubPaymentProcessing")
.WithDescription("Validates and processes payment for an order")
.AddEdge(validatePayment, fraudCheckExecutor)
.AddEdge(fraudCheckExecutor, chargePayment)
.Build();
// ============================================
// Step 3: Build the Inventory Management sub-workflow
// ============================================
CheckInventory checkInventory = new();
ReserveInventory reserveInventory = new();
Workflow inventoryWorkflow = new WorkflowBuilder(checkInventory)
.WithName("SubInventoryManagement")
.WithDescription("Checks availability and reserves inventory")
.AddEdge(checkInventory, reserveInventory)
.Build();
// ============================================
// Step 4: Build the Shipping Arrangement sub-workflow
// ============================================
SelectCarrier selectCarrier = new();
CreateShipment createShipment = new();
Workflow shippingWorkflow = new WorkflowBuilder(selectCarrier)
.WithName("SubShippingArrangement")
.WithDescription("Selects carrier and creates shipment")
.AddEdge(selectCarrier, createShipment)
.Build();
// ============================================
// Step 5: Build the Main Order Processing workflow using sub-workflows
// ============================================
// Bind sub-workflows as executors for use in the main workflow
ExecutorBinding paymentExecutor = paymentWorkflow.BindAsExecutor("Payment");
ExecutorBinding inventoryExecutor = inventoryWorkflow.BindAsExecutor("Inventory");
ExecutorBinding shippingExecutor = shippingWorkflow.BindAsExecutor("Shipping");
// Create entry and exit executors for the main workflow
OrderReceived orderReceived = new();
OrderCompleted orderCompleted = new();
// Build the main workflow: OrderReceived -> Payment -> Inventory -> Shipping -> OrderCompleted
Workflow orderProcessingWorkflow = new WorkflowBuilder(orderReceived)
.WithName("OrderProcessing")
.WithDescription("Processes an order through payment, inventory, and shipping")
.AddEdge(orderReceived, paymentExecutor)
.AddEdge(paymentExecutor, inventoryExecutor)
.AddEdge(inventoryExecutor, shippingExecutor)
.AddEdge(shippingExecutor, orderCompleted)
.Build();
// ============================================
// Step 6: Configure and start the host
// ============================================
IHost host = Host.CreateDefaultBuilder(args)
.ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
.ConfigureServices(services =>
{
// Register only the main workflow - sub-workflows are discovered automatically!
services.ConfigureDurableWorkflows(
options => options.Workflows.AddWorkflow(orderProcessingWorkflow),
workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
})
.Build();
await host.StartAsync();
// Get the IWorkflowClient from DI
IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
Console.WriteLine("╔══════════════════════════════════════════════════════════════════╗");
Console.WriteLine("║ Durable Sub-Workflows Sample ║");
Console.WriteLine("╠══════════════════════════════════════════════════════════════════╣");
Console.WriteLine("║ Main Workflow: OrderProcessing ║");
Console.WriteLine("║ ├── Payment (sub-workflow) ║");
Console.WriteLine("║ │ ├── ValidatePayment (1s) ║");
Console.WriteLine("║ │ ├── FraudCheck (sub-sub-workflow) ← Level 2 nesting! ║");
Console.WriteLine("║ │ │ ├── AnalyzePatterns (1s) ║");
Console.WriteLine("║ │ │ └── CalculateRiskScore (1s) ║");
Console.WriteLine("║ │ └── ChargePayment (2s) ║");
Console.WriteLine("║ ├── Inventory (sub-workflow) ║");
Console.WriteLine("║ │ ├── CheckInventory (1s) ║");
Console.WriteLine("║ │ └── ReserveInventory (2s) ║");
Console.WriteLine("║ └── Shipping (sub-workflow) ║");
Console.WriteLine("║ ├── SelectCarrier (1s) ║");
Console.WriteLine("║ └── CreateShipment (2s) ║");
Console.WriteLine("╚══════════════════════════════════════════════════════════════════╝");
Console.WriteLine();
Console.WriteLine("Open the DTS dashboard at http://localhost:8080 to see the");
Console.WriteLine("parent-child orchestration hierarchy in the Timeline view!");
Console.WriteLine();
Console.WriteLine("Enter an order ID (or 'exit'):");
while (true)
{
Console.Write("> ");
string? input = Console.ReadLine();
if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
{
break;
}
try
{
await StartNewWorkflowAsync(input, orderProcessingWorkflow, workflowClient);
}
catch (Exception ex)
{
Console.WriteLine($"Error: {ex.Message}");
}
Console.WriteLine();
}
await host.StopAsync();
// Start a new workflow using IWorkflowClient
async Task StartNewWorkflowAsync(string orderId, Workflow workflow, IWorkflowClient client)
{
Console.WriteLine($"\nStarting order processing for '{orderId}'...");
await using DurableRun run = (DurableRun)await client.RunAsync(workflow, orderId);
Console.WriteLine($"Instance ID: {run.InstanceId}");
Console.WriteLine("Check the DTS dashboard Timeline tab to see sub-orchestrations!");
Console.WriteLine();
try
{
string? result = await run.WaitForCompletionAsync();
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine($"✓ Order completed: {result}");
Console.ResetColor();
}
catch (InvalidOperationException ex)
{
Console.ForegroundColor = ConsoleColor.Red;
Console.WriteLine($"✗ Failed: {ex.Message}");
Console.ResetColor();
}
}
@@ -1,153 +0,0 @@
# Sub-Workflows Console Sample
This sample demonstrates how to compose workflows hierarchically by using sub-workflows within a durable orchestration. Sub-workflows are executed as separate orchestration instances, providing modularity, reusability, and excellent visibility in the Durable Task dashboard.
## Overview
The sample implements an order processing system with three sub-workflows:
```
OrderProcessing (Main Workflow)
??? OrderReceived
??? Payment (Sub-Workflow)
? ??? ValidatePayment (1s)
? ??? ChargePayment (2s)
??? Inventory (Sub-Workflow)
? ??? CheckInventory (1s)
? ??? ReserveInventory (2s)
??? Shipping (Sub-Workflow)
? ??? SelectCarrier (1s)
? ??? CreateShipment (2s)
??? OrderCompleted
```
## Key Concepts
### Sub-Workflow Benefits
1. **Modularity**: Each sub-workflow encapsulates related logic (payment, inventory, shipping)
2. **Reusability**: Sub-workflows can be used in multiple parent workflows
3. **Independent Execution**: Each sub-workflow runs as a separate orchestration instance
4. **Dashboard Visibility**: Sub-workflows appear in the Timeline view with parent-child relationships
5. **Failure Isolation**: A failure in a sub-workflow doesn't corrupt the parent's state
### How Sub-Workflows Work
```csharp
// Step 1: Build a sub-workflow
Workflow paymentWorkflow = new WorkflowBuilder(validatePayment)
.WithName("PaymentProcessing")
.AddEdge(validatePayment, chargePayment)
.Build();
// Step 2: Bind it as an executor for use in a parent workflow
ExecutorBinding paymentExecutor = paymentWorkflow.BindAsExecutor("Payment");
// Step 3: Use the sub-workflow executor in the main workflow
Workflow mainWorkflow = new WorkflowBuilder(orderReceived)
.AddEdge(orderReceived, paymentExecutor) // Sub-workflow as an edge target
.AddEdge(paymentExecutor, inventoryExecutor)
.Build();
// Step 4: Register only the main workflow - sub-workflows are discovered automatically!
services.ConfigureDurableWorkflows(
options => options.Workflows.AddWorkflow(mainWorkflow),
...);
```
### Dashboard Visualization
Open the DTS dashboard at `http://localhost:8080` after running a workflow:
1. Click on the main orchestration instance
2. Switch to the **Timeline** tab
3. You'll see a hierarchical view showing:
- `OrderProcessing` (parent orchestration)
- `PaymentProcessing` (sub-orchestration)
- `InventoryManagement` (sub-orchestration)
- `ShippingArrangement` (sub-orchestration)
Each sub-orchestration has its own instance ID and can be inspected independently.
## Environment Setup
See the [README.md](../README.md) file in the parent directory for information on:
- Installing prerequisites (.NET 10+, Docker)
- Starting the Durable Task Scheduler emulator
- Configuring environment variables
## Running the Sample
```bash
# Start the DTS emulator (if not already running)
docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest
# Run the sample
cd dotnet/samples/DurableAgents/ConsoleApps/09_SubWorkflows
dotnet run --framework net10.0
```
### Sample Session
```text
????????????????????????????????????????????????????????????????????
? Durable Sub-Workflows Sample ?
????????????????????????????????????????????????????????????????????
? Main Workflow: OrderProcessing ?
? ??? Payment (sub-workflow) ?
? ? ??? ValidatePayment (1s) ?
? ? ??? ChargePayment (2s) ?
? ??? Inventory (sub-workflow) ?
? ? ??? CheckInventory (1s) ?
? ? ??? ReserveInventory (2s) ?
? ??? Shipping (sub-workflow) ?
? ??? SelectCarrier (1s) ?
? ??? CreateShipment (2s) ?
????????????????????????????????????????????????????????????????????
Open the DTS dashboard at http://localhost:8080 to see the
parent-child orchestration hierarchy in the Timeline view!
Enter an order ID (or 'exit'):
> ORD-12345
Starting order processing for 'ORD-12345'...
Instance ID: abc123def456
Check the DTS dashboard Timeline tab to see sub-orchestrations!
[OrderReceived] Processing order 'ORD-12345'
[Payment/ValidatePayment] Validating payment for order 'ORD-12345'...
[Payment/ValidatePayment] Payment validated for $99.99
[Payment/ChargePayment] Charging $99.99 for order 'ORD-12345'...
[Payment/ChargePayment] ? Payment processed: TXN-A1B2C3D4
[Inventory/CheckInventory] Checking inventory for order 'ORD-12345'...
[Inventory/CheckInventory] ? Items available in stock
[Inventory/ReserveInventory] Reserving items for order 'ORD-12345'...
[Inventory/ReserveInventory] ? Reserved: RES-E5F6G7H8
[Shipping/SelectCarrier] Selecting carrier for order 'ORD-12345'...
[Shipping/SelectCarrier] ? Selected carrier: Express
[Shipping/CreateShipment] Creating shipment for order 'ORD-12345'...
[Shipping/CreateShipment] ? Shipment created: TRACK-I9J0K1L2M3
???????????????????????????????????????????????????????????????????
? [OrderCompleted] Order 'ORD-12345' successfully processed!
? Payment: TXN-A1B2C3D4
? Inventory: RES-E5F6G7H8
? Shipping: Express - TRACK-I9J0K1L2M3
???????????????????????????????????????????????????????????????????
? Order completed. Tracking: TRACK-I9J0K1L2M3
```
## Comparison with In-Process Sub-Workflows
| Feature | In-Process | Durable |
|---------|------------|---------|
| Execution | Same process, synchronized supersteps | Separate orchestration instances |
| Visibility | Single workflow view | Hierarchical dashboard view |
| Checkpointing | Parent checkpoints include child state | Independent checkpoints per sub-workflow |
| Failure Recovery | Parent must handle child failures | Automatic retry with state preservation |
| Scalability | Single process | Can scale across workers |
## Related Samples
- [06_SubWorkflows (In-Process)](../../../GettingStarted/Workflows/_Foundational/06_SubWorkflows) - In-process sub-workflow execution
- [08_SingleWorkflow](../08_SingleWorkflow) - Basic durable workflow without sub-workflows
@@ -1,31 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<AssemblyName>SingleWorkflow</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
<PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
<PackageReference Include="Azure.AI.OpenAI" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.DurableTask" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -1,67 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace WorkflowConcurrency;
/// <summary>
/// Parses and validates the incoming question before sending to AI agents.
/// </summary>
internal sealed class ParseQuestionExecutor() : Executor<string, string>("ParseQuestion")
{
public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Magenta;
Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
Console.WriteLine("│ [ParseQuestion] Preparing question for AI agents...");
string formattedQuestion = message.Trim();
if (!formattedQuestion.EndsWith('?'))
{
formattedQuestion += "?";
}
Console.WriteLine($"│ [ParseQuestion] Question: \"{formattedQuestion}\"");
Console.WriteLine("│ [ParseQuestion] → Sending to Physicist and Chemist in PARALLEL...");
Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
Console.ResetColor();
return ValueTask.FromResult(formattedQuestion);
}
}
/// <summary>
/// Aggregates responses from all AI agents into a comprehensive answer.
/// This is the Fan-in point where parallel results are collected.
/// </summary>
internal sealed class AggregatorExecutor() : Executor<string[], string>("Aggregator")
{
public override ValueTask<string> HandleAsync(string[] message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
Console.WriteLine();
Console.ForegroundColor = ConsoleColor.Cyan;
Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
Console.WriteLine($"│ [Aggregator] 📋 Received {message.Length} AI agent responses");
Console.WriteLine("│ [Aggregator] Combining into comprehensive answer...");
Console.WriteLine("│ [Aggregator] ✓ Aggregation complete!");
Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
Console.ResetColor();
string aggregatedResult = "═══════════════════════════════════════════════════════════════\n" +
" AI EXPERT PANEL RESPONSES\n" +
"═══════════════════════════════════════════════════════════════\n\n";
for (int i = 0; i < message.Length; i++)
{
string expertLabel = i == 0 ? "⚛️ PHYSICIST" : "🧪 CHEMIST";
aggregatedResult += $"{expertLabel}:\n{message[i]}\n\n";
}
aggregatedResult += "═══════════════════════════════════════════════════════════════\n" +
$"Summary: Received perspectives from {message.Length} AI experts.\n" +
"═══════════════════════════════════════════════════════════════";
return ValueTask.FromResult(aggregatedResult);
}
}
@@ -1,136 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates the Fan-out/Fan-in pattern in a durable workflow.
// The workflow uses 4 executors: 2 class-based executors and 2 AI agents.
//
// WORKFLOW PATTERN (4 Executors):
//
// ┌──────────────────┐
// │ ParseQuestion │ ← Class-based Executor
// └────────┬─────────┘
// │
// ┌────────┴────────┐
// ▼ ▼
// ┌──────────┐ ┌──────────┐
// │ Physicist│ │ Chemist │ ← AI Agents (parallel)
// └────┬─────┘ └────┬─────┘
// │ │
// └──────┬───────┘
// ▼
// ┌──────────────────┐
// │ Aggregator │ ← Class-based Executor
// └──────────────────┘
using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Agents.AI.Workflows;
using Microsoft.DurableTask.Client.AzureManaged;
using Microsoft.DurableTask.Worker.AzureManaged;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using OpenAI.Chat;
using WorkflowConcurrency;
// Configuration
string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
// Create Azure OpenAI client
AzureOpenAIClient openAiClient = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
ChatClient chatClient = openAiClient.GetChatClient(deploymentName);
// Define the 4 executors for the workflow
ParseQuestionExecutor parseQuestion = new(); // Executor 1: Class-based
AIAgent physicist = chatClient.AsAIAgent("You are a physics expert. Be concise (2-3 sentences).", "Physicist"); // Executor 2: AI Agent
AIAgent chemist = chatClient.AsAIAgent("You are a chemistry expert. Be concise (2-3 sentences).", "Chemist"); // Executor 3: AI Agent
AggregatorExecutor aggregator = new(); // Executor 4: Class-based
// Build workflow: ParseQuestion → [Physicist, Chemist] (parallel) → Aggregator
Workflow workflow = new WorkflowBuilder(parseQuestion)
.WithName("ExpertReview")
.AddFanOutEdge(parseQuestion, [physicist, chemist])
.AddFanInEdge([physicist, chemist], aggregator)
.Build();
// Configure and start the host
IHost host = Host.CreateDefaultBuilder(args)
.ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
.ConfigureServices(services =>
{
services.ConfigureDurableWorkflows(
options => options.Workflows.AddWorkflow(workflow),
workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
})
.Build();
await host.StartAsync();
// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
// Console UI
Console.ForegroundColor = ConsoleColor.Cyan;
Console.WriteLine("╔═══════════════════════════════════════════════════════════════════════╗");
Console.WriteLine("║ Fan-out/Fan-in Workflow Sample (4 Executors) ║");
Console.WriteLine("║ ║");
Console.WriteLine("║ ParseQuestion → [Physicist, Chemist] → Aggregator ║");
Console.WriteLine("║ (class-based) (AI agents, parallel) (class-based) ║");
Console.WriteLine("╚═══════════════════════════════════════════════════════════════════════╝");
Console.ResetColor();
Console.WriteLine();
await Task.Delay(TimeSpan.FromSeconds(2)); // Allow pending workflows to resume
Console.WriteLine("Enter a science question (or 'exit' to quit):");
Console.WriteLine();
while (true)
{
Console.ForegroundColor = ConsoleColor.Yellow;
Console.Write("Question: ");
Console.ResetColor();
string? input = Console.ReadLine();
if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
{
break;
}
try
{
// Cast to DurableRun for durable-specific features like InstanceId and WaitForCompletionAsync
await using DurableRun run = (DurableRun)await workflowClient.RunAsync(workflow, input);
Console.ForegroundColor = ConsoleColor.Gray;
Console.WriteLine($"Instance: {run.InstanceId}");
Console.ResetColor();
string? result = await run.WaitForCompletionAsync();
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine("\n✓ Workflow completed!\n");
Console.ResetColor();
Console.WriteLine(result);
}
catch (Exception ex)
{
Console.ForegroundColor = ConsoleColor.Red;
Console.WriteLine($"✗ Error: {ex.Message}");
Console.ResetColor();
}
Console.WriteLine();
}
await host.StopAsync();
@@ -1,160 +0,0 @@
# Fan-out/Fan-in Workflow with AI Agents
This sample demonstrates the **Fan-out/Fan-in pattern** using real AI agents in a durable workflow. A question is sent to multiple AI "expert" agents in parallel, and their responses are aggregated into a final result.
## Overview
The sample implements an expert consultation workflow using Azure OpenAI:
- A question is parsed and prepared
- The question is sent to **2 AI agents in parallel** (Fan-out)
- AI agent responses are **collected and aggregated** (Fan-in)
### Components
| Component | Type | Description |
|-----------|------|-------------|
| ParseQuestion | Executor | Validates and formats the incoming question |
| Physicist | AI Agent | Azure OpenAI agent with physics expertise |
| Chemist | AI Agent | Azure OpenAI agent with chemistry expertise |
| Aggregator | Executor | Combines all AI agent responses |
## Workflow Pattern
```
???????????????????
? ParseQuestion ?
???????????????????
?
???????????????????????????????
? ?
? ?
??????????????????? ???????????????????
? Physicist ? ? Chemist ?
? (AI Agent) ? ? (AI Agent) ?
??????????????????? ???????????????????
? ?
? PARALLEL EXECUTION ?
? ?
???????????????????????????????
?
?
???????????????????
? Aggregator ?
???????????????????
```
## Key Concepts Demonstrated
- **Fan-out (AddFanOutEdge)**: One executor sends to multiple AI agents in parallel
- **Fan-in (AddFanInEdge)**: Multiple AI agent results are collected into an array
- **AI Agents in Workflows**: Using Azure OpenAI agents as workflow executors
- **Durability**: If interrupted, completed AI agent responses are preserved on restart
## Configuration
When using AI agents in durable workflows, `ConfigureDurableWorkflows` automatically registers any AI agents found in the workflow. You only need a single configuration call:
```csharp
services.ConfigureDurableWorkflows(
options => options.Workflows.AddWorkflow(expertReview),
workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
```
This is similar to how `ConfigureDurableOptions` works in Azure Functions samples.
## Environment Setup
This sample requires:
1. **Durable Task Scheduler** - See the [parent README](../README.md) for setup instructions
2. **Azure OpenAI** - You need an Azure OpenAI resource with a deployed model
### Environment Variables
| Variable | Description |
|----------|-------------|
| `DURABLE_TASK_SCHEDULER_CONNECTION_STRING` | Connection string for DTS (defaults to local emulator) |
| `AZURE_OPENAI_ENDPOINT` | Your Azure OpenAI endpoint URL |
| `AZURE_OPENAI_DEPLOYMENT` | Name of your deployed model (e.g., `gpt-4`) |
| `AZURE_OPENAI_KEY` | (Optional) API key - if not set, uses Azure CLI credential |
## Running the Sample
```bash
cd dotnet/samples/DurableAgents/ConsoleApps/09_Workflow_Concurrency
dotnet run --framework net10.0
```
### Sample Session
```text
??????????????????????????????????????????????????????????????????????
? Fan-out/Fan-in Workflow with AI Agents ?
??????????????????????????????????????????????????????????????????????
? This sample demonstrates parallel AI agent consultation. ?
? ?
? Workflow: Question ? [Physicist, Chemist] ? Aggregator ?
? (AI agents run in parallel) ?
??????????????????????????????????????????????????????????????????????
?? TIP: Stop during execution to test durability - completed agent responses are preserved!
? Checking for pending workflows...
Enter a science question (or 'exit' to quit):
Example: "What is water?"
Question: What is water
Starting expert review workflow...
Instance ID: abc123-def456-...
???????????????????????????????????????????????????????????????????
? [ParseQuestion] Preparing question for AI agents...
? [ParseQuestion] Question: "What is water?"
? [ParseQuestion] ? Sending to Physicist and Chemist in PARALLEL...
???????????????????????????????????????????????????????????????????
... (AI agents process in parallel)
???????????????????????????????????????????????????????????????????
? [Aggregator] ?? Received 2 AI agent responses
? [Aggregator] Combining into comprehensive answer...
? [Aggregator] ? Aggregation complete!
???????????????????????????????????????????????????????????????????
??????????????????????????????????????????????????????????????????????
? ? Expert review completed! ?
??????????????????????????????????????????????????????????????????????
???????????????????????????????????????????????????????????????
AI EXPERT PANEL RESPONSES
???????????????????????????????????????????????????????????????
?? PHYSICIST:
Water is H2O - two hydrogen atoms bonded to one oxygen atom. From a physics
perspective, water exhibits unique properties like high specific heat capacity
and surface tension due to hydrogen bonding.
?? CHEMIST:
Water (H2O) is a polar molecule formed by covalent bonds. Its bent molecular
geometry creates a dipole moment, making it an excellent solvent for ionic
and polar compounds.
???????????????????????????????????????????????????????????????
Summary: Received perspectives from 2 AI experts.
???????????????????????????????????????????????????????????????
```
## Durability with AI Agents
If you stop the application while one AI agent is processing:
- The completed agent's response is **preserved** (cached by Durable Task)
- On restart, only the incomplete agent **re-runs**
- The aggregator waits for all agents to complete
## Related Samples
- [08_SingleWorkflow](../08_SingleWorkflow) - Sequential workflow with durability demonstration
- [10_WorkflowConcurrent](../../AzureFunctions/10_WorkflowConcurrent) - Azure Functions version
- [02_AgentOrchestration_Chaining](../02_AgentOrchestration_Chaining) - Agent chaining with durable orchestration
@@ -1,29 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<AssemblyName>SingleWorkflow</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
<PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.DurableTask" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -1,27 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
public record ApprovalRequest(string ExpenseId, decimal Amount, string EmployeeName);
public record ApprovalResponse(bool Approved, string? Comments);
internal sealed class CreateApprovalRequest() : Executor<string, ApprovalRequest>("RetrieveRequest")
{
public override async ValueTask<ApprovalRequest> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Get request details from db.
return new ApprovalRequest(message, 1500.00m, "Jerry");
}
}
internal sealed class ExpenseReimburse() : Executor<ApprovalResponse, string>("Reimburse")
{
public override async ValueTask<string> HandleAsync(ApprovalResponse message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Simulate payment processing.
await Task.Delay(1000, cancellationToken);
return $"Expense reimbursed at {DateTime.Now.ToUniversalTime()}";
}
}
@@ -1,105 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates a Human-in-the-Loop (HITL) workflow using Durable Tasks.
// The workflow creates an expense approval request, waits for manager approval via an external event,
// and then processes the expense reimbursement based on the approval response.
// This sample mirrors the pattern used in the in-process HumanInTheLoopBasic sample.
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Agents.AI.Workflows;
using Microsoft.DurableTask.Client.AzureManaged;
using Microsoft.DurableTask.Worker.AzureManaged;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using SingleAgent;
// Get DTS connection string from environment variable
string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
// Define executors for the workflow
CreateApprovalRequest createRequest = new();
RequestPort<ApprovalRequest, ApprovalResponse> managerApproval = RequestPort.Create<ApprovalRequest, ApprovalResponse>("ManagerApproval");
ExpenseReimburse reimburse = new();
Workflow expenseApproval = new WorkflowBuilder(createRequest)
.WithName("ExpenseReImbursement")
.WithDescription("Expense ReImbursement")
.AddEdge(createRequest, managerApproval)
.AddEdge(managerApproval, reimburse)
.Build();
IHost host = Host.CreateDefaultBuilder(args)
.ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
.ConfigureServices(services =>
{
services.ConfigureDurableWorkflows(
options => options.Workflows.AddWorkflow(expenseApproval),
workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
})
.Build();
await host.StartAsync();
// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
// Start the workflow with an expense ID as input
string expenseId = "EXP-2025-001";
Console.WriteLine($"Starting expense reimbursement workflow for expense: {expenseId}");
// Start the workflow and get a streaming handle
// Cast to DurableStreamingRun for durable-specific features like InstanceId and SendResponseAsync
await using DurableStreamingRun run = (DurableStreamingRun)await workflowClient.StreamAsync(expenseApproval, expenseId);
Console.WriteLine($"Workflow started with instance ID: {run.InstanceId}");
Console.WriteLine("Watching for workflow events...\n");
// Watch for workflow events - similar pattern to InProcessExecution.StreamAsync
await foreach (WorkflowEvent evt in run.WatchStreamAsync())
{
switch (evt)
{
case DurableRequestInfoEvent requestEvent:
// Handle request for external input (human-in-the-loop)
Console.WriteLine($"Workflow is waiting for input at RequestPort: {requestEvent.RequestPortId}");
Console.WriteLine($" Input data: {requestEvent.Input}");
Console.WriteLine($" Expected response type: {requestEvent.ResponseType}");
// Simulate manager approval
ApprovalResponse response = HandleApprovalRequest(requestEvent);
await run.SendResponseAsync(requestEvent, response);
Console.WriteLine($" Response sent: Approved={response.Approved}\n");
break;
case DurableWorkflowCompletedEvent completedEvent:
// The workflow has completed
Console.WriteLine($"Workflow completed with result: {completedEvent.Result}");
break;
case DurableWorkflowFailedEvent failedEvent:
// The workflow has failed
Console.WriteLine($"Workflow failed: {failedEvent.ErrorMessage}");
break;
}
}
Console.ReadLine();
await host.StopAsync();
// Handler for approval requests - similar to HandleExternalRequest in the in-process sample
static ApprovalResponse HandleApprovalRequest(DurableRequestInfoEvent requestEvent)
{
// In a real scenario, this would involve human interaction (e.g., a web UI)
// For this sample, we simulate automatic approval
ApprovalRequest? request = requestEvent.GetInputAs<ApprovalRequest>();
if (request is not null)
{
Console.WriteLine($" Approval request for: {request.EmployeeName}, Amount: {request.Amount:C}");
}
return new ApprovalResponse(Approved: true, Comments: "Approved by manager. Looks good!");
}
@@ -1,96 +0,0 @@
# Workflow Human-in-the-Loop (HITL) Sample
This sample demonstrates a **Human-in-the-Loop** pattern in durable workflows using `RequestPort`. The workflow pauses execution to wait for external input (e.g., manager approval) and resumes when the response is provided.
## Overview
The sample implements an expense approval workflow:
1. **CreateApprovalRequest** - Retrieves expense details and creates an approval request
2. **ManagerApproval** (RequestPort) - Pauses workflow to wait for manager approval
3. **ExpenseReimburse** - Processes the reimbursement based on approval response
## Workflow Flow
```
User Input (Expense ID)
|
v
+---------------------+
| CreateApprovalRequest| Creates ApprovalRequest with expense details
+---------------------+
|
v
+---------------------+
| ManagerApproval | RequestPort - PAUSES here waiting for external input
| (RequestPort) | Workflow is durable while waiting
+---------------------+
|
v (ApprovalResponse)
+---------------------+
| ExpenseReimburse | Processes reimbursement if approved
+---------------------+
|
v
Result
```
## Key Concepts
- **RequestPort** - A special executor that pauses the workflow and waits for external input
- **DurableRequestInfoEvent** - Event emitted when the workflow reaches a RequestPort
- **SendResponseAsync** - Method to provide the response and resume the workflow
- **Durability** - The workflow can survive process restarts while waiting for human input
## Code Highlights
### Defining the RequestPort
```csharp
RequestPort<ApprovalRequest, ApprovalResponse> managerApproval =
RequestPort.Create<ApprovalRequest, ApprovalResponse>("ManagerApproval");
```
### Handling the Request Event
```csharp
await foreach (WorkflowEvent evt in run.WatchStreamAsync())
{
switch (evt)
{
case DurableRequestInfoEvent requestEvent:
// Workflow is waiting for input
ApprovalResponse response = HandleApprovalRequest(requestEvent);
await run.SendResponseAsync(requestEvent, response);
break;
// ... other events
}
}
```
## Environment Setup
See the [README.md](../README.md) file in the parent directory for environment configuration.
## Running the Sample
```bash
cd dotnet/samples/DurableAgents/ConsoleApps/10_Workflow_HITL
dotnet run --framework net10.0
```
### Sample Output
```
Starting expense reimbursement workflow for expense: EXP-2025-001
Workflow started with instance ID: abc123...
Watching for workflow events...
Workflow is waiting for input at RequestPort: ManagerApproval
Input data: {"ExpenseId":"EXP-2025-001","Amount":1500.00,"EmployeeName":"Jerry"}
Expected response type: SingleAgent.ApprovalResponse
Approval request for: Jerry, Amount: $1,500.00
Response sent: Approved=True
Workflow completed with result: Expense reimbursed at 1/23/2025 5:30:00 PM
```
@@ -1,29 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<AssemblyName>SingleWorkflow</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
<PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.DurableTask" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>
@@ -1,16 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Event emitted to report cancellation progress.
/// </summary>
public sealed class CancellationProgressEvent(string orderId, int percentComplete, string status)
: WorkflowEvent($"Cancellation {percentComplete}%: {status}")
{
public string OrderId { get; } = orderId;
public int PercentComplete { get; } = percentComplete;
public string Status { get; } = status;
}
@@ -1,14 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Event emitted when an email is sent.
/// </summary>
public sealed class EmailSentEvent(string email, string subject) : WorkflowEvent($"Email sent to {email}")
{
public string Email { get; } = email;
public string Subject { get; } = subject;
}
@@ -1,117 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use IWorkflowContext methods in your executors:
// - AddEventAsync: Emit custom events that can be observed by the workflow caller
// - YieldOutputAsync: Stream intermediate outputs during execution
//
// These features enable rich observability and control over workflow execution.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
#region Domain Models
/// <summary>
/// Represents an order in the system.
/// </summary>
public sealed class Order
{
public required string Id { get; set; }
public DateTime OrderDate { get; set; }
public bool IsCancelled { get; set; }
public required Customer Customer { get; set; }
}
/// <summary>
/// Represents a customer associated with an order.
/// </summary>
public sealed class Customer
{
public string Name { get; set; } = string.Empty;
public string Email { get; set; } = string.Empty;
}
#endregion
#region Custom Workflow Events
#endregion
#region Executors
/// <summary>
/// Looks up an order by its ID. Demonstrates AddEventAsync for custom events.
/// </summary>
internal sealed class OrderLookup() : Executor<string, Order>("OrderLookup")
{
public override async ValueTask<Order> HandleAsync(
string message,
IWorkflowContext context,
CancellationToken cancellationToken = default)
{
await context.AddEventAsync(new OrderLookupStartedEvent(message), cancellationToken);
await Task.Delay(500, cancellationToken);
Order order = new()
{
Id = message,
OrderDate = DateTime.UtcNow.AddDays(-3),
IsCancelled = false,
Customer = new Customer { Name = "Jerry", Email = "jerry@example.com" }
};
await context.AddEventAsync(new OrderFoundEvent(order), cancellationToken);
return order;
}
}
/// <summary>
/// Cancels an order with progress reporting.
/// Demonstrates AddEventAsync for progress events and YieldOutputAsync for streaming outputs.
/// </summary>
internal sealed class OrderCancel() : Executor<Order, Order>("OrderCancel")
{
public override async ValueTask<Order> HandleAsync(
Order message,
IWorkflowContext context,
CancellationToken cancellationToken = default)
{
// Simulate cancellation steps with progress events
string[] steps = ["Validating", "Processing refund", "Finalizing"];
for (int i = 0; i < steps.Length; i++)
{
await Task.Delay(500, cancellationToken);
int percent = (i + 1) * 33;
// Emit progress event (callers can observe this in real-time)
await context.AddEventAsync(new CancellationProgressEvent(message.Id, percent, steps[i]), cancellationToken);
// YieldOutputAsync streams intermediate results matching the executor's return type
await context.YieldOutputAsync(message, cancellationToken);
}
message.IsCancelled = true;
await context.AddEventAsync(new OrderCancelledEvent(message.Id), cancellationToken);
return message;
}
}
/// <summary>
/// Sends a cancellation confirmation email. Demonstrates AddEventAsync for completion events.
/// </summary>
internal sealed class SendEmail() : Executor<Order, string>("SendEmail")
{
public override async ValueTask<string> HandleAsync(
Order message,
IWorkflowContext context,
CancellationToken cancellationToken = default)
{
await Task.Delay(500, cancellationToken);
string email = message.Customer.Email;
await context.AddEventAsync(new EmailSentEvent(email, $"Order {message.Id} Cancelled"), cancellationToken);
return $"Email sent to {email}";
}
}
#endregion
@@ -1,13 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Event emitted when an order is successfully cancelled.
/// </summary>
public sealed class OrderCancelledEvent(string orderId) : WorkflowEvent($"Order {orderId} has been cancelled")
{
public string OrderId { get; } = orderId;
}
@@ -1,13 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Event emitted when an order is found.
/// </summary>
public sealed class OrderFoundEvent(Order order) : WorkflowEvent($"Found order {order.Id} for {order.Customer.Name}")
{
public Order Order { get; } = order;
}
@@ -1,13 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI.Workflows;
namespace SingleAgent;
/// <summary>
/// Event emitted when an order lookup starts.
/// </summary>
public sealed class OrderLookupStartedEvent(string orderId) : WorkflowEvent($"Looking up order {orderId}")
{
public string OrderId { get; } = orderId;
}
@@ -1,139 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// ═══════════════════════════════════════════════════════════════════════════════
// SAMPLE: Workflow Events and IWorkflowContext Features
// ═══════════════════════════════════════════════════════════════════════════════
//
// This sample demonstrates how to use IWorkflowContext methods in executors:
//
// 1. AddEventAsync - Emit custom events that callers can observe in real-time
// 2. YieldOutputAsync - Stream intermediate outputs during long-running operations
//
// The sample uses DurableExecutionEnvironment.StreamAsync to observe events as they occur,
// showing how callers can receive real-time updates from the workflow.
//
// Workflow: OrderLookup -> OrderCancel -> SendEmail
// ═══════════════════════════════════════════════════════════════════════════════
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Agents.AI.Workflows;
using Microsoft.DurableTask.Client.AzureManaged;
using Microsoft.DurableTask.Worker.AzureManaged;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using SingleAgent;
// Get DTS connection string from environment variable
string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
// Define executors and build workflow
OrderLookup orderLookup = new();
OrderCancel orderCancel = new();
SendEmail sendEmail = new();
Workflow cancelOrder = new WorkflowBuilder(orderLookup)
.WithName("CancelOrder")
.WithDescription("Cancel an order and notify the customer")
.AddEdge(orderLookup, orderCancel)
.AddEdge(orderCancel, sendEmail)
.Build();
// Configure host with durable workflow support
IHost host = Host.CreateDefaultBuilder(args)
.ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
.ConfigureServices(services =>
{
services.ConfigureDurableWorkflows(
options => options.Workflows.AddWorkflow(cancelOrder),
workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
})
.Build();
await host.StartAsync();
// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
Console.WriteLine("Workflow Events Demo - Enter order ID (or 'exit'):");
while (true)
{
Console.Write("> ");
string? input = Console.ReadLine();
if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
{
break;
}
try
{
await RunWorkflowWithStreamingAsync(input, cancelOrder, workflowClient);
}
catch (Exception ex)
{
Console.WriteLine($"Error: {ex.Message}");
}
Console.WriteLine();
}
await host.StopAsync();
// Runs a workflow and streams events as they occur
async Task RunWorkflowWithStreamingAsync(string orderId, Workflow workflow, IWorkflowClient client)
{
// StreamAsync starts the workflow and returns a handle for observing events
// Cast to DurableStreamingRun for durable-specific features like InstanceId
await using DurableStreamingRun run = (DurableStreamingRun)await client.StreamAsync(workflow, orderId);
Console.WriteLine($"Started: {run.InstanceId}");
// WatchStreamAsync yields events as they're emitted by executors
await foreach (WorkflowEvent evt in run.WatchStreamAsync())
{
// Always print the event type name
Console.WriteLine($" Event: {evt.GetType().Name}");
switch (evt)
{
// Custom domain events (emitted via AddEventAsync)
case OrderLookupStartedEvent e:
WriteColored($" [Lookup] Looking up order {e.OrderId}", ConsoleColor.Cyan);
break;
case OrderFoundEvent e:
WriteColored($" [Lookup] Found: {e.Order.Customer.Name}", ConsoleColor.Cyan);
break;
case CancellationProgressEvent e:
WriteColored($" [Cancel] {e.PercentComplete}% - {e.Status}", ConsoleColor.Yellow);
break;
case OrderCancelledEvent e:
WriteColored(" [Cancel] Done", ConsoleColor.Yellow);
break;
case EmailSentEvent e:
WriteColored($" [Email] Sent to {e.Email}", ConsoleColor.Magenta);
break;
// Yielded outputs (emitted via YieldOutputAsync)
case DurableYieldedOutputEvent e:
WriteColored($" [Output] {e.ExecutorId}", ConsoleColor.DarkGray);
break;
// Workflow completion
case DurableWorkflowCompletedEvent e:
WriteColored($" Completed: {e.Result}", ConsoleColor.Green);
break;
case DurableWorkflowFailedEvent e:
WriteColored($" Failed: {e.ErrorMessage}", ConsoleColor.Red);
break;
}
}
}
void WriteColored(string message, ConsoleColor color)
{
Console.ForegroundColor = color;
Console.WriteLine(message);
Console.ResetColor();
}
@@ -1,156 +0,0 @@
# Single Workflow Console Sample
This sample demonstrates how to run a workflow as a durable orchestration from a console application using the Durable Task Framework. It showcases the **durability** aspect - if the process crashes mid-execution, the workflow can be resumed without re-executing completed activities.
## Overview
The sample implements an order cancellation workflow with three executors, each with artificial delays to simulate real-world operations:
1. **OrderLookup** (2 seconds) - Looks up an order by its ID
2. **OrderCancel** (5 seconds) - Marks the order as cancelled
3. **SendEmail** (1 second) - Sends a cancellation confirmation email
## Durability Demonstration
The key feature of Durable Task Framework is **durability**:
- **Activity results are persisted**: When an activity completes, its result is saved
- **Orchestrations are replayed**: On restart, the orchestration replays from the beginning
- **Completed activities are skipped**: The framework uses cached results for completed activities
- **Failed activities are retried**: If an activity was interrupted, it runs again
- **Automatic resume**: When the worker starts, it automatically picks up any pending work!
### Try It Yourself
1. Start the application and enter an order ID (e.g., `12345`)
2. Stop the app (Ctrl+C or stop debugging) during the `OrderCancel` activity (5 seconds)
3. Restart the application
4. **Watch for automatic resume!** The worker automatically picks up the interrupted workflow
5. Observe that `OrderLookup` is NOT re-executed (its result was cached)
6. `OrderCancel` restarts from the beginning (it didn't complete)
7. `SendEmail` runs after `OrderCancel` completes
The durability is completely automatic - no manual intervention needed!
## Workflow Flow
```
User Input (Order ID)
?
?
???????????????????
? OrderLookup ? ? 2 second delay (database lookup)
? (2 seconds) ?
???????????????????
?
?
???????????????????
? OrderCancel ? ? 5 second delay - TRY INTERRUPTING HERE!
? (5 seconds) ?
???????????????????
?
?
???????????????????
? SendEmail ? ? 1 second delay (email sending)
? (1 second) ?
???????????????????
?
?
Result
```
## Key Concepts Demonstrated
- **ConfigureDurableWorkflows** - Simplified API for registering workflows
- **DurableExecution.RunAsync** - Start a new workflow (similar to InProcessExecution)
- **DurableRun** - Handle to monitor and interact with a running workflow
- **Automatic Resume** - Interrupted workflows continue automatically on restart
## Environment Setup
See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
## Running the Sample
With the environment setup, you can run the sample:
```bash
cd dotnet/samples/DurableAgents/ConsoleApps/08_SingleWorkflow
dotnet run --framework net10.0
```
### Sample Session
```text
??????????????????????????????????????????????????????????????????????
? Durable Workflow Console Sample ?
??????????????????????????????????????????????????????????????????????
? This sample demonstrates durability in workflows. ?
? Workflow: OrderLookup (2s) -> OrderCancel (5s) -> SendEmail (1s) ?
??????????????????????????????????????????????????????????????????????
?? TIP: Stop the app during OrderCancel (5 seconds) to test durability!
Restart the app - it will automatically resume from where it left off.
? Checking for pending workflows...
Enter an order ID to start a new workflow (or 'exit' to quit):
Order ID: 12345
Starting workflow for order '12345'...
Instance ID: abc123-def456-...
???????????????????????????????????????????????????????????????????
? [Activity] OrderLookup: Starting lookup for order '12345'
? [Activity] OrderLookup: Found order '12345' for customer 'Jerry'
???????????????????????????????????????????????????????????????????
???????????????????????????????????????????????????????????????????
? [Activity] OrderCancel: Starting cancellation for order '12345'
? [Activity] OrderCancel: ?? This takes 5 seconds - try Ctrl+C!
? [Activity] OrderCancel: Processing... 1/5 seconds
? [Activity] OrderCancel: Processing... 2/5 seconds
^C <-- User stops the app here
[After restart...]
? Checking for pending workflows...
???????????????????????????????????????????????????????????????????
? [Activity] OrderCancel: Starting cancellation for order '12345' <-- Auto-resumed!
? [Activity] OrderCancel: ?? This takes 5 seconds - try Ctrl+C!
? [Activity] OrderCancel: Processing... 1/5 seconds
...
? [Activity] OrderCancel: ? Order '12345' has been cancelled
???????????????????????????????????????????????????????????????????
???????????????????????????????????????????????????????????????????
? [Activity] SendEmail: Sending email to 'jerry@example.com'...
? [Activity] SendEmail: ? Email sent successfully!
???????????????????????????????????????????????????????????????????
Enter an order ID to start a new workflow (or 'exit' to quit):
Order ID: _
```
Notice that when resumed:
- `OrderLookup` was **NOT re-executed** (result was cached by Durable Task)
- `OrderCancel` **restarted automatically** (it was interrupted before completing)
- `SendEmail` ran normally after `OrderCancel` completed
## Viewing Workflow State
You can view the state of the workflow in the Durable Task Scheduler dashboard:
1. Open your browser and navigate to `http://localhost:8082`
2. In the dashboard, you can view the state of the orchestration, including activity history and current state
## Related Samples
- [01_SingleAgent](../01_SingleAgent) - Single agent console sample
- [02_AgentOrchestration_Chaining](../02_AgentOrchestration_Chaining) - Agent chaining with durable orchestration
- [05_AgentOrchestration_HITL](../05_AgentOrchestration_HITL) - Human-in-the-loop orchestration
- [09_Workflow](../../AzureFunctions/09_Workflow) - Azure Functions version of workflow hosting
@@ -1,31 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFrameworks>net10.0</TargetFrameworks>
<OutputType>Exe</OutputType>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<AssemblyName>SingleWorkflow</AssemblyName>
<RootNamespace>SingleAgent</RootNamespace>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
<PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
<PackageReference Include="Azure.AI.OpenAI" />
</ItemGroup>
<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
<!--
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.DurableTask" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" />
</ItemGroup>
-->
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>
@@ -1,69 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
namespace SingleAgent;
internal sealed class FeedbackExecutor : Executor<SloganResult>
{
private readonly AIAgent _agent;
private AgentThread? _thread;
public int MinimumRating { get; init; } = 9;
public int MaxAttempts { get; init; } = 3;
private int _attempts;
/// <summary>
/// Initializes a new instance of the <see cref="FeedbackExecutor"/> class.
/// </summary>
/// <param name="id">A unique identifier for the executor.</param>
/// <param name="chatClient">The chat client to use for the AI agent.</param>
public FeedbackExecutor(string id, IChatClient chatClient) : base(id)
{
ChatClientAgentOptions agentOptions = new()
{
ChatOptions = new()
{
Instructions = "You are a professional editor. You will be given a slogan and the task it is meant to accomplish.",
ResponseFormat = ChatResponseFormat.ForJsonSchema<FeedbackResult>()
}
};
this._agent = new ChatClientAgent(chatClient, agentOptions);
}
public override async ValueTask HandleAsync(SloganResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
this._thread ??= await this._agent.GetNewThreadAsync(cancellationToken);
var sloganMessage = $"""
Here is a slogan for the task '{message.Task}':
Slogan: {message.Slogan}
Please provide feedback on this slogan, including comments, a rating from 1 to 10, and suggested actions for improvement.
""";
var response = await this._agent.RunAsync(sloganMessage, this._thread, cancellationToken: cancellationToken);
var feedback = JsonSerializer.Deserialize<FeedbackResult>(response.Text) ?? throw new InvalidOperationException("Failed to deserialize feedback.");
if (feedback.Rating >= this.MinimumRating)
{
await context.YieldOutputAsync($"The following slogan was accepted:\n\n{message.Slogan}", cancellationToken);
return;
}
if (this._attempts >= this.MaxAttempts)
{
await context.YieldOutputAsync($"The slogan was rejected after {this.MaxAttempts} attempts. Final slogan:\n\n{message.Slogan}", cancellationToken);
return;
}
Console.WriteLine("Sending back for refining");
await context.SendMessageAsync(feedback, cancellationToken: cancellationToken);
this._attempts++;
}
}
@@ -1,113 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to run a CYCLIC WORKFLOW as a durable orchestration.
// The workflow contains a loop: SloganWriter ⟷ FeedbackProvider
//
// WORKFLOW LOOP PATTERN:
// 1. SloganWriter generates a slogan based on user input
// 2. FeedbackProvider evaluates the slogan and provides feedback
// 3. If the rating is below threshold, FeedbackProvider sends feedback back to SloganWriter
// 4. SloganWriter improves the slogan based on feedback
// 5. Loop continues until FeedbackProvider accepts the slogan (rating >= threshold)
//
// This demonstrates:
// - Cyclic workflow support (back-edges in the graph)
// - Multi-type executor handlers (SloganWriter handles both string and FeedbackResult)
// - Message routing via SendMessageAsync for void-returning executors
// - YieldOutputAsync for final output when the loop completes
using Azure.Identity;
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Agents.AI.Workflows;
using Microsoft.DurableTask.Client.AzureManaged;
using Microsoft.DurableTask.Worker.AzureManaged;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using SingleAgent;
using Azure.AI.OpenAI;
// Get DTS connection string from environment variable
string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") ?? "gpt-4o-mini";
var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
// Define executors for the workflow
var sloganWriter = new SloganWriterExecutor("SloganWriter", chatClient);
var feedbackProvider = new FeedbackExecutor("FeedbackProvider", chatClient);
// Build the workflow by adding executors and connecting them
var workflow = new WorkflowBuilder(sloganWriter)
.WithName("SloganCreationWorkflow")
.AddEdge(sloganWriter, feedbackProvider)
.AddEdge(feedbackProvider, sloganWriter)
.WithOutputFrom(feedbackProvider)
.Build();
IHost host = Host.CreateDefaultBuilder(args)
.ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
.ConfigureServices(services =>
{
services.ConfigureDurableWorkflows(
options => options.Workflows.AddWorkflow(workflow),
workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
})
.Build();
await host.StartAsync();
// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
Console.WriteLine("Workflow Events Demo - Enter input for slogan generation (or 'exit'):");
while (true)
{
Console.Write("> ");
string? input = Console.ReadLine();
if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
{
break;
}
try
{
await RunWorkflowWithStreamingAsync(input, workflow, workflowClient);
}
catch (Exception ex)
{
Console.WriteLine($"Error: {ex.Message}");
}
Console.WriteLine();
}
await host.StopAsync();
// Runs a workflow and streams events as they occur
async Task RunWorkflowWithStreamingAsync(string orderId, Workflow workflow, IWorkflowClient client)
{
// StreamAsync starts the workflow and returns a handle for observing events
// Cast to DurableStreamingRun for durable-specific features like InstanceId
await using DurableStreamingRun run = (DurableStreamingRun)await client.StreamAsync(workflow, orderId);
Console.WriteLine($"Started: {run.InstanceId}");
// WatchStreamAsync yields events as they're emitted by executors
await foreach (WorkflowEvent evt in run.WatchStreamAsync())
{
// Always print the event type name
WriteColored($" Event: {evt.GetType().Name}", ConsoleColor.Gray);
}
}
void WriteColored(string message, ConsoleColor color)
{
Console.ForegroundColor = color;
Console.WriteLine(message);
Console.ResetColor();
}
@@ -1,23 +0,0 @@
# Workflow Loop Sample
This sample demonstrates how to run a cyclic workflow (containing loops) as a durable orchestration.
## Overview
The workflow iteratively improves a slogan based on AI feedback until it meets quality criteria.
### Executors
- **SloganWriter** - Generates slogans using AI (handles string and FeedbackResult)
- **FeedbackProvider** - Evaluates slogans (calls YieldOutput to accept, SendMessage to loop)
## Key Concepts
- Cyclic Workflow Support (back-edges)
- Multi-Type Executor Handlers
- Message Routing via SendMessageAsync
- Workflow Termination via YieldOutputAsync
## Running
Set AZURE_OPENAI_ENDPOINT and run: dotnet run
@@ -1,26 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json.Serialization;
namespace SingleAgent;
public sealed class SloganResult
{
[JsonPropertyName("task")]
public required string Task { get; set; }
[JsonPropertyName("slogan")]
public required string Slogan { get; set; }
}
public sealed class FeedbackResult
{
[JsonPropertyName("comments")]
public string Comments { get; set; } = string.Empty;
[JsonPropertyName("rating")]
public int Rating { get; set; }
[JsonPropertyName("actions")]
public string Actions { get; set; } = string.Empty;
}
@@ -1,61 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
using System.Text.Json;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
namespace SingleAgent;
internal sealed class SloganWriterExecutor : Executor
{
private readonly AIAgent _agent;
private AgentThread? _thread;
/// <summary>
/// Initializes a new instance of the <see cref="SloganWriterExecutor"/> class.
/// </summary>
/// <param name="id">A unique identifier for the executor.</param>
/// <param name="chatClient">The chat client to use for the AI agent.</param>
public SloganWriterExecutor(string id, IChatClient chatClient) : base(id)
{
ChatClientAgentOptions agentOptions = new()
{
ChatOptions = new()
{
Instructions = "You are a professional slogan writer. You will be given a task to create a slogan.",
ResponseFormat = ChatResponseFormat.ForJsonSchema<SloganResult>()
}
};
this._agent = new ChatClientAgent(chatClient, agentOptions);
}
protected override RouteBuilder ConfigureRoutes(RouteBuilder routeBuilder) =>
routeBuilder.AddHandler<string, SloganResult>(this.HandleAsync)
.AddHandler<FeedbackResult, SloganResult>(this.HandleAsync);
public async ValueTask<SloganResult> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
this._thread ??= await this._agent.GetNewThreadAsync(cancellationToken);
var result = await this._agent.RunAsync(message, this._thread, cancellationToken: cancellationToken);
return JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");
}
public async ValueTask<SloganResult> HandleAsync(FeedbackResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
var feedbackMessage = $"""
Here is the feedback on your previous slogan:
Comments: {message.Comments}
Rating: {message.Rating}
Suggested Actions: {message.Actions}
Please use this feedback to improve your slogan.
""";
var result = await this._agent.RunAsync(feedbackMessage, this._thread, cancellationToken: cancellationToken);
return JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");
}
}
@@ -9,8 +9,6 @@ This directory contains samples for console app hosting of durable agents. These
- **[05_AgentOrchestration_HITL](05_AgentOrchestration_HITL)**: A sample that demonstrates how to implement a human-in-the-loop workflow using durable orchestration, including interactive approval prompts.
- **[06_LongRunningTools](06_LongRunningTools)**: A sample that demonstrates how agents can start and interact with durable orchestrations from tool calls to enable long-running tool scenarios.
- **[07_ReliableStreaming](07_ReliableStreaming)**: A sample that demonstrates how to implement reliable streaming for durable agents using Redis Streams, enabling clients to disconnect and reconnect without losing messages.
- **[08_SingleWorkflow](08_SingleWorkflow)**: A sample that demonstrates how to run a simple workflow as a durable orchestration, showcasing activity durability and automatic resume on restart.
- **[09_SubWorkflows](09_SubWorkflows)**: A sample that demonstrates how to compose workflows hierarchically using sub-workflows, which run as separate orchestration instances visible in the DTS dashboard.
## Running the Samples
@@ -1,22 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
<PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
<PackageReference Include="Microsoft.Extensions.Hosting" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
</ItemGroup>
</Project>

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