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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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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

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* 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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2026-01-26 11:23:16 +00:00
806 changed files with 23183 additions and 7501 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
+5 -4
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" />
@@ -107,9 +108,9 @@
<!-- 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="1.18.0" />
+5
View File
@@ -65,6 +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" />
@@ -229,6 +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/">
@@ -395,6 +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" />
@@ -424,6 +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" />
@@ -438,6 +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",
+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))
@@ -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();
@@ -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);
@@ -16,10 +16,10 @@ AgentCard agentCard = await agentCardResolver.GetAgentCardAsync();
// Create an instance of the AIAgent for an existing A2A agent specified by the agent card.
AIAgent agent = agentCard.AsAIAgent();
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
// Start the initial run with a long-running task.
AgentResponse response = await agent.RunAsync("Conduct a comprehensive analysis of quantum computing applications in cryptography, including recent breakthroughs, implementation challenges, and future roadmap. Please include diagrams and visual representations to illustrate complex concepts.", thread);
AgentResponse response = await agent.RunAsync("Conduct a comprehensive analysis of quantum computing applications in cryptography, including recent breakthroughs, implementation challenges, and future roadmap. Please include diagrams and visual representations to illustrate complex concepts.", session);
// Poll until the response is complete.
while (response.ContinuationToken is { } token)
@@ -28,7 +28,7 @@ while (response.ContinuationToken is { } token)
await Task.Delay(TimeSpan.FromSeconds(2));
// Continue with the token.
response = await agent.RunAsync(thread, options: new AgentRunOptions { ContinuationToken = token });
response = await agent.RunAsync(session, options: new AgentRunOptions { ContinuationToken = token });
}
// Display the result
@@ -20,7 +20,7 @@ AIAgent agent = chatClient.AsAIAgent(
name: "agui-client",
description: "AG-UI Client Agent");
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
List<ChatMessage> messages =
[
new(ChatRole.System, "You are a helpful assistant.")
@@ -49,18 +49,18 @@ try
// Stream the response
bool isFirstUpdate = true;
string? threadId = null;
string? sessionId = null;
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, thread))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, session))
{
ChatResponseUpdate chatUpdate = update.AsChatResponseUpdate();
// First update indicates run started
if (isFirstUpdate)
{
threadId = chatUpdate.ConversationId;
sessionId = chatUpdate.ConversationId;
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($"\n[Run Started - Thread: {chatUpdate.ConversationId}, Run: {chatUpdate.ResponseId}]");
Console.WriteLine($"\n[Run Started - Session: {chatUpdate.ConversationId}, Run: {chatUpdate.ResponseId}]");
Console.ResetColor();
isFirstUpdate = false;
}
@@ -84,7 +84,7 @@ try
}
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine($"\n[Run Finished - Thread: {threadId}]");
Console.WriteLine($"\n[Run Finished - Session: {sessionId}]");
Console.ResetColor();
}
}
@@ -20,7 +20,7 @@ AIAgent agent = chatClient.AsAIAgent(
name: "agui-client",
description: "AG-UI Client Agent");
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
List<ChatMessage> messages =
[
new(ChatRole.System, "You are a helpful assistant.")
@@ -49,18 +49,18 @@ try
// Stream the response
bool isFirstUpdate = true;
string? threadId = null;
string? sessionId = null;
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, thread))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, session))
{
ChatResponseUpdate chatUpdate = update.AsChatResponseUpdate();
// First update indicates run started
if (isFirstUpdate)
{
threadId = chatUpdate.ConversationId;
sessionId = chatUpdate.ConversationId;
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($"\n[Run Started - Thread: {chatUpdate.ConversationId}, Run: {chatUpdate.ResponseId}]");
Console.WriteLine($"\n[Run Started - Session: {chatUpdate.ConversationId}, Run: {chatUpdate.ResponseId}]");
Console.ResetColor();
isFirstUpdate = false;
}
@@ -116,7 +116,7 @@ try
}
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine($"\n[Run Finished - Thread: {threadId}]");
Console.WriteLine($"\n[Run Finished - Session: {sessionId}]");
Console.ResetColor();
}
}
@@ -33,7 +33,7 @@ AIAgent agent = chatClient.AsAIAgent(
description: "AG-UI Client Agent",
tools: frontendTools);
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
List<ChatMessage> messages =
[
new(ChatRole.System, "You are a helpful assistant.")
@@ -62,18 +62,18 @@ try
// Stream the response
bool isFirstUpdate = true;
string? threadId = null;
string? sessionId = null;
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, thread))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, session))
{
ChatResponseUpdate chatUpdate = update.AsChatResponseUpdate();
// First update indicates run started
if (isFirstUpdate)
{
threadId = chatUpdate.ConversationId;
sessionId = chatUpdate.ConversationId;
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($"\n[Run Started - Thread: {chatUpdate.ConversationId}, Run: {chatUpdate.ResponseId}]");
Console.WriteLine($"\n[Run Started - Session: {chatUpdate.ConversationId}, Run: {chatUpdate.ResponseId}]");
Console.ResetColor();
isFirstUpdate = false;
}
@@ -109,7 +109,7 @@ try
}
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine($"\n[Run Finished - Thread: {threadId}]");
Console.WriteLine($"\n[Run Finished - Session: {sessionId}]");
Console.ResetColor();
}
}
@@ -27,7 +27,7 @@ JsonSerializerOptions jsonSerializerOptions = JsonSerializerOptions.Default;
ServerFunctionApprovalClientAgent agent = new(baseAgent, jsonSerializerOptions);
List<ChatMessage> messages = [];
AgentThread? thread = null;
AgentSession? session = null;
Console.ForegroundColor = ConsoleColor.White;
Console.WriteLine("Ask a question (or type 'exit' to quit):");
@@ -52,7 +52,7 @@ while ((input = Console.ReadLine()) != null && !input.Equals("exit", StringCompa
approvalResponses.Clear();
List<AgentResponseUpdate> chatResponseUpdates = [];
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, thread, cancellationToken: default))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, session, cancellationToken: default))
{
chatResponseUpdates.Add(update);
foreach (AIContent content in update.Contents)
@@ -24,17 +24,17 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
protected override Task<AgentResponse> RunCoreAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
return this.RunCoreStreamingAsync(messages, thread, options, 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)
{
@@ -43,7 +43,7 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
// Run the inner agent and intercept any approval requests
await foreach (var update in this.InnerAgent.RunStreamingAsync(
processedMessages, thread, options, cancellationToken).ConfigureAwait(false))
processedMessages, session, options, cancellationToken).ConfigureAwait(false))
{
yield return ProcessIncomingServerApprovalRequests(update, this._jsonSerializerOptions);
}
@@ -24,17 +24,17 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
protected override Task<AgentResponse> RunCoreAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
return this.RunCoreStreamingAsync(messages, thread, options, 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)
{
@@ -43,7 +43,7 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
// Run the inner agent and intercept any approval requests
await foreach (var update in this.InnerAgent.RunStreamingAsync(
processedMessages, thread, options, cancellationToken).ConfigureAwait(false))
processedMessages, session, options, cancellationToken).ConfigureAwait(false))
{
yield return ProcessOutgoingApprovalRequests(update, this._jsonSerializerOptions);
}
@@ -30,7 +30,7 @@ JsonSerializerOptions jsonOptions = new(JsonSerializerDefaults.Web)
};
StatefulAgent<AgentState> agent = new(baseAgent, jsonOptions, new AgentState());
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
List<ChatMessage> messages =
[
new(ChatRole.System, "You are a helpful recipe assistant.")
@@ -65,21 +65,21 @@ try
// Stream the response
bool isFirstUpdate = true;
string? threadId = null;
string? sessionId = null;
bool stateReceived = false;
Console.WriteLine();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, thread))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(messages, session))
{
ChatResponseUpdate chatUpdate = update.AsChatResponseUpdate();
// First update indicates run started
if (isFirstUpdate)
{
threadId = chatUpdate.ConversationId;
sessionId = chatUpdate.ConversationId;
Console.ForegroundColor = ConsoleColor.Yellow;
Console.WriteLine($"[Run Started - Thread: {chatUpdate.ConversationId}, Run: {chatUpdate.ResponseId}]");
Console.WriteLine($"[Run Started - Session: {chatUpdate.ConversationId}, Run: {chatUpdate.ResponseId}]");
Console.ResetColor();
isFirstUpdate = false;
}
@@ -113,7 +113,7 @@ try
}
Console.ForegroundColor = ConsoleColor.Green;
Console.WriteLine($"\n[Run Finished - Thread: {threadId}]");
Console.WriteLine($"\n[Run Finished - Session: {sessionId}]");
Console.ResetColor();
// Display final state if received
@@ -37,18 +37,18 @@ internal sealed class StatefulAgent<TState> : DelegatingAIAgent
/// <inheritdoc />
protected override Task<AgentResponse> RunCoreAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken)
return this.RunCoreStreamingAsync(messages, session, options, cancellationToken)
.ToAgentResponseAsync(cancellationToken);
}
/// <inheritdoc />
protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
@@ -64,7 +64,7 @@ internal sealed class StatefulAgent<TState> : DelegatingAIAgent
messagesWithState.Add(stateMessage);
// Stream the response and update state when received
await foreach (AgentResponseUpdate update in this.InnerAgent.RunStreamingAsync(messagesWithState, thread, options, cancellationToken))
await foreach (AgentResponseUpdate update in this.InnerAgent.RunStreamingAsync(messagesWithState, session, options, cancellationToken))
{
// Check if this update contains a state snapshot
foreach (AIContent content in update.Contents)
@@ -19,17 +19,17 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
protected override Task<AgentResponse> RunCoreAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
return this.RunCoreStreamingAsync(messages, thread, options, 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)
{
@@ -40,7 +40,7 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
state.ValueKind != JsonValueKind.Object)
{
// No state management requested, pass through to inner agent
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;
}
@@ -58,7 +58,7 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
if (!hasProperties)
{
// Empty state - treat as no 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;
}
@@ -92,7 +92,7 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
// Collect all updates from first run
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);
@@ -129,7 +129,7 @@ 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;
}
@@ -128,7 +128,7 @@ var agent = new ChatClientAgent(instrumentedChatClient,
.UseOpenTelemetry(SourceName, configure: (cfg) => cfg.EnableSensitiveData = true) // enable telemetry at the agent level
.Build();
var thread = await agent.GetNewThreadAsync();
var session = await agent.GetNewSessionAsync();
appLogger.LogInformation("Agent created successfully with ID: {AgentId}", agent.Id);
@@ -176,7 +176,7 @@ using (appLogger.BeginScope(new Dictionary<string, object> { ["SessionId"] = ses
Console.Write("Agent: ");
// Run the agent (this will create its own internal telemetry spans)
await foreach (var update in agent.RunStreamingAsync(userInput, thread))
await foreach (var update in agent.RunStreamingAsync(userInput, session))
{
Console.Write(update.Text);
}
@@ -31,8 +31,8 @@ AIAgent agent2 = await persistentAgentsClient.CreateAIAgentAsync(
instructions: JokerInstructions);
// You can then invoke the agent like any other AIAgent.
AgentThread thread = await agent1.GetNewThreadAsync();
Console.WriteLine(await agent1.RunAsync("Tell me a joke about a pirate.", thread));
AgentSession session = await agent1.GetNewSessionAsync();
Console.WriteLine(await agent1.RunAsync("Tell me a joke about a pirate.", session));
// Cleanup for sample purposes.
await persistentAgentsClient.Administration.DeleteAgentAsync(agent1.Id);
@@ -40,11 +40,11 @@ var latestAgentVersion = jokerAgentLatest.GetService<AgentVersion>()!;
Console.WriteLine($"Latest agent version id: {latestAgentVersion.Id}");
// Once you have the AIAgent, you can invoke it like any other AIAgent.
AgentThread thread = await jokerAgentLatest.GetNewThreadAsync();
Console.WriteLine(await jokerAgentLatest.RunAsync("Tell me a joke about a pirate.", thread));
AgentSession session = await jokerAgentLatest.GetNewSessionAsync();
Console.WriteLine(await jokerAgentLatest.RunAsync("Tell me a joke about a pirate.", session));
// This will use the same thread to continue the conversation.
Console.WriteLine(await jokerAgentLatest.RunAsync("Now tell me a joke about a cat and a dog using last joke as the anchor.", thread));
// This will use the same session to continue the conversation.
Console.WriteLine(await jokerAgentLatest.RunAsync("Now tell me a joke about a cat and a dog using last joke as the anchor.", session));
// Cleanup by agent name removes both agent versions created.
aiProjectClient.Agents.DeleteAgent(existingJokerAgent.Name);
@@ -28,35 +28,35 @@ namespace SampleApp
{
public override string? Name => "UpperCaseParrotAgent";
public override ValueTask<AgentThread> GetNewThreadAsync(CancellationToken cancellationToken = default)
=> new(new CustomAgentThread());
public override ValueTask<AgentSession> GetNewSessionAsync(CancellationToken cancellationToken = default)
=> new(new CustomAgentSession());
public override ValueTask<AgentThread> DeserializeThreadAsync(JsonElement serializedThread, JsonSerializerOptions? jsonSerializerOptions = null, CancellationToken cancellationToken = default)
=> new(new CustomAgentThread(serializedThread, jsonSerializerOptions));
public override ValueTask<AgentSession> DeserializeSessionAsync(JsonElement serializedSession, JsonSerializerOptions? jsonSerializerOptions = null, CancellationToken cancellationToken = default)
=> new(new CustomAgentSession(serializedSession, jsonSerializerOptions));
protected override async Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
protected override async Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
{
// Create a thread if the user didn't supply one.
thread ??= await this.GetNewThreadAsync(cancellationToken);
// Create a session if the user didn't supply one.
session ??= await this.GetNewSessionAsync(cancellationToken);
if (thread is not CustomAgentThread typedThread)
if (session is not CustomAgentSession typedSession)
{
throw new ArgumentException($"The provided thread is not of type {nameof(CustomAgentThread)}.", nameof(thread));
throw new ArgumentException($"The provided session is not of type {nameof(CustomAgentSession)}.", nameof(session));
}
// Get existing messages from the store
var invokingContext = new ChatHistoryProvider.InvokingContext(messages);
var storeMessages = await typedThread.ChatHistoryProvider.InvokingAsync(invokingContext, cancellationToken);
var storeMessages = await typedSession.ChatHistoryProvider.InvokingAsync(invokingContext, cancellationToken);
// Clone the input messages and turn them into response messages with upper case text.
List<ChatMessage> responseMessages = CloneAndToUpperCase(messages, this.Name).ToList();
// Notify the thread of the input and output messages.
// Notify the session of the input and output messages.
var invokedContext = new ChatHistoryProvider.InvokedContext(messages, storeMessages)
{
ResponseMessages = responseMessages
};
await typedThread.ChatHistoryProvider.InvokedAsync(invokedContext, cancellationToken);
await typedSession.ChatHistoryProvider.InvokedAsync(invokedContext, cancellationToken);
return new AgentResponse
{
@@ -66,29 +66,29 @@ namespace SampleApp
};
}
protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(IEnumerable<ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
{
// Create a thread if the user didn't supply one.
thread ??= await this.GetNewThreadAsync(cancellationToken);
// Create a session if the user didn't supply one.
session ??= await this.GetNewSessionAsync(cancellationToken);
if (thread is not CustomAgentThread typedThread)
if (session is not CustomAgentSession typedSession)
{
throw new ArgumentException($"The provided thread is not of type {nameof(CustomAgentThread)}.", nameof(thread));
throw new ArgumentException($"The provided session is not of type {nameof(CustomAgentSession)}.", nameof(session));
}
// Get existing messages from the store
var invokingContext = new ChatHistoryProvider.InvokingContext(messages);
var storeMessages = await typedThread.ChatHistoryProvider.InvokingAsync(invokingContext, cancellationToken);
var storeMessages = await typedSession.ChatHistoryProvider.InvokingAsync(invokingContext, cancellationToken);
// Clone the input messages and turn them into response messages with upper case text.
List<ChatMessage> responseMessages = CloneAndToUpperCase(messages, this.Name).ToList();
// Notify the thread of the input and output messages.
// Notify the session of the input and output messages.
var invokedContext = new ChatHistoryProvider.InvokedContext(messages, storeMessages)
{
ResponseMessages = responseMessages
};
await typedThread.ChatHistoryProvider.InvokedAsync(invokedContext, cancellationToken);
await typedSession.ChatHistoryProvider.InvokedAsync(invokedContext, cancellationToken);
foreach (var message in responseMessages)
{
@@ -128,14 +128,14 @@ namespace SampleApp
});
/// <summary>
/// A thread type for our custom agent that only supports in memory storage of messages.
/// A session type for our custom agent that only supports in memory storage of messages.
/// </summary>
internal sealed class CustomAgentThread : InMemoryAgentThread
internal sealed class CustomAgentSession : InMemoryAgentSession
{
internal CustomAgentThread() { }
internal CustomAgentSession() { }
internal CustomAgentThread(JsonElement serializedThreadState, JsonSerializerOptions? jsonSerializerOptions = null)
: base(serializedThreadState, jsonSerializerOptions) { }
internal CustomAgentSession(JsonElement serializedSessionState, JsonSerializerOptions? jsonSerializerOptions = null)
: base(serializedSessionState, jsonSerializerOptions) { }
}
}
}
@@ -0,0 +1,19 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="GitHub.Copilot.SDK" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.GitHub.Copilot\Microsoft.Agents.AI.GitHub.Copilot.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,51 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to create a GitHub Copilot agent with shell command permissions.
using GitHub.Copilot.SDK;
using Microsoft.Agents.AI;
// Permission handler that prompts the user for approval
static Task<PermissionRequestResult> PromptPermission(PermissionRequest request, PermissionInvocation invocation)
{
Console.WriteLine($"\n[Permission Request: {request.Kind}]");
Console.Write("Approve? (y/n): ");
string? input = Console.ReadLine()?.Trim().ToUpperInvariant();
string kind = input is "Y" or "YES" ? "approved" : "denied-interactively-by-user";
return Task.FromResult(new PermissionRequestResult { Kind = kind });
}
// Create and start a Copilot client
await using CopilotClient copilotClient = new();
await copilotClient.StartAsync();
// Create an agent with a session config that enables permission handling
SessionConfig sessionConfig = new()
{
OnPermissionRequest = PromptPermission,
};
AIAgent agent = copilotClient.AsAIAgent(sessionConfig, ownsClient: true);
// Toggle between streaming and non-streaming modes
bool useStreaming = true;
string prompt = "List all files in the current directory";
Console.WriteLine($"User: {prompt}\n");
if (useStreaming)
{
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(prompt))
{
Console.Write(update);
}
Console.WriteLine();
}
else
{
AgentResponse response = await agent.RunAsync(prompt);
Console.WriteLine(response);
}
@@ -0,0 +1,76 @@
# Prerequisites
> **⚠️ WARNING: Container Recommendation**
>
> GitHub Copilot can execute tools and commands that may interact with your system. For safety, it is strongly recommended to run this sample in a containerized environment (e.g., Docker, Dev Container) to avoid unintended consequences to your machine.
Before you begin, ensure you have the following prerequisites:
- .NET 10 SDK or later
- GitHub Copilot CLI installed and available in your PATH (or provide a custom path)
## Setting up GitHub Copilot CLI
To use this sample, you need to have the GitHub Copilot CLI installed. You can install it by following the instructions at:
https://github.com/github/copilot-sdk
Once installed, ensure the `copilot` command is available in your PATH, or configure a custom path using `CopilotClientOptions`.
## Running the Sample
No additional environment variables are required if using default configuration. The sample will:
1. Create a GitHub Copilot client with default options
2. Create an AI agent using the Copilot SDK
3. Send a message to the agent
4. Display the response
Run the sample:
```powershell
dotnet run
```
## Advanced Usage
You can customize the agent by providing additional configuration:
```csharp
using GitHub.Copilot.SDK;
using Microsoft.Agents.AI;
// Create and start a Copilot client
await using CopilotClient copilotClient = new();
await copilotClient.StartAsync();
// Create session configuration with specific model
SessionConfig sessionConfig = new()
{
Model = "claude-opus-4.5",
Streaming = false
};
// Create an agent with custom configuration using the extension method
AIAgent agent = copilotClient.AsAIAgent(
sessionConfig,
ownsClient: true,
id: "my-copilot-agent",
name: "My Copilot Assistant",
description: "A helpful AI assistant powered by GitHub Copilot"
);
// Use the agent - ask it to write code for us
AgentResponse response = await agent.RunAsync("Write a small .NET 10 C# hello world single file application");
Console.WriteLine(response);
```
## Streaming Responses
To get streaming responses:
```csharp
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Write a C# function to calculate Fibonacci numbers"))
{
Console.Write(update.Text);
}
```
@@ -33,8 +33,8 @@ AIAgent agent2 = await assistantClient.CreateAIAgentAsync(
instructions: JokerInstructions);
// You can invoke the agent like any other AIAgent.
AgentThread thread = await agent1.GetNewThreadAsync();
Console.WriteLine(await agent1.RunAsync("Tell me a joke about a pirate.", thread));
AgentSession session = await agent1.GetNewSessionAsync();
Console.WriteLine(await agent1.RunAsync("Tell me a joke about a pirate.", session));
// Cleanup for sample purposes.
await assistantClient.DeleteAssistantAsync(agent1.Id);
@@ -22,6 +22,7 @@ See the README.md for each sample for the prerequisites for that sample.
|[Creating an AIAgent with Azure OpenAI ChatCompletion](./Agent_With_AzureOpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using Azure OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with Azure OpenAI Responses](./Agent_With_AzureOpenAIResponses/)|This sample demonstrates how to create an AIAgent using Azure OpenAI Responses as the underlying inference service|
|[Creating an AIAgent with a custom implementation](./Agent_With_CustomImplementation/)|This sample demonstrates how to create an AIAgent with a custom implementation|
|[Creating an AIAgent with GitHub Copilot](./Agent_With_GitHubCopilot/)|This sample demonstrates how to create an AIAgent using GitHub Copilot SDK as the underlying inference service|
|[Creating an AIAgent with Ollama](./Agent_With_Ollama/)|This sample demonstrates how to create an AIAgent using Ollama as the underlying inference service|
|[Creating an AIAgent with ONNX](./Agent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
|[Creating an AIAgent with OpenAI Assistants](./Agent_With_OpenAIAssistants/)|This sample demonstrates how to create an AIAgent using OpenAI Assistants as the underlying inference service.</br>WARNING: The Assistants API is deprecated and will be shut down. For more information see the OpenAI documentation: https://platform.openai.com/docs/assistants/migration|
@@ -26,12 +26,12 @@ AIAgent agent = new AnthropicClient { APIKey = apiKey }
.AsAIAgent(model: model, instructions: AssistantInstructions, name: AssistantName, tools: [tool]);
// Non-streaming agent interaction with function tools.
AgentThread thread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?", thread));
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?", session));
// Streaming agent interaction with function tools.
thread = await agent.GetNewThreadAsync();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("What is the weather like in Amsterdam?", thread))
session = await agent.GetNewSessionAsync();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("What is the weather like in Amsterdam?", session))
{
Console.WriteLine(update);
}
@@ -39,22 +39,22 @@ AIAgent agent = new AzureOpenAIClient(
collectionName: "chathistory",
vectorDimensions: 3072,
// Configure the scope values under which chat messages will be stored.
// In this case, we are using a fixed user ID and a unique thread ID for each new thread.
storageScope: new() { UserId = "UID1", ThreadId = new Guid().ToString() },
// In this case, we are using a fixed user ID and a unique session ID for each new session.
storageScope: new() { UserId = "UID1", SessionId = Guid.NewGuid().ToString() },
// Configure the scope which would be used to search for relevant prior messages.
// In this case, we are searching for any messages for the user across all threads.
// In this case, we are searching for any messages for the user across all sessions.
searchScope: new() { UserId = "UID1" }))
});
// Start a new thread for the agent conversation.
AgentThread thread = await agent.GetNewThreadAsync();
// Start a new session for the agent conversation.
AgentSession session = await agent.GetNewSessionAsync();
// Run the agent with the thread that stores conversation history in the vector store.
Console.WriteLine(await agent.RunAsync("I like jokes about Pirates. Tell me a joke about a pirate.", thread));
// Run the agent with the session that stores conversation history in the vector store.
Console.WriteLine(await agent.RunAsync("I like jokes about Pirates. Tell me a joke about a pirate.", session));
// Start a second thread. Since we configured the search scope to be across all threads for the user,
// Start a second session. Since we configured the search scope to be across all sessions for the user,
// the agent should remember that the user likes pirate jokes.
AgentThread thread2 = await agent.GetNewThreadAsync();
AgentSession? session2 = await agent.GetNewSessionAsync();
// Run the agent with the second thread.
Console.WriteLine(await agent.RunAsync("Tell me a joke that I might like.", thread2));
// Run the agent with the second session.
Console.WriteLine(await agent.RunAsync("Tell me a joke that I might like.", session2));
@@ -2,7 +2,7 @@
// This sample shows how to use the Mem0Provider to persist and recall memories for an agent.
// The sample stores conversation messages in a Mem0 service and retrieves relevant memories
// for subsequent invocations, even across new threads.
// for subsequent invocations, even across new sessions.
using System.Net.Http.Headers;
using System.Text.Json;
@@ -32,7 +32,7 @@ AIAgent agent = new AzureOpenAIClient(
{
ChatOptions = new() { Instructions = "You are a friendly travel assistant. Use known memories about the user when responding, and do not invent details." },
AIContextProviderFactory = (ctx, ct) => new ValueTask<AIContextProvider>(ctx.SerializedState.ValueKind is not JsonValueKind.Null and not JsonValueKind.Undefined
// If each thread should have its own Mem0 scope, you can create a new id per thread here:
// If each session should have its own Mem0 scope, you can create a new id per session here:
// ? new Mem0Provider(mem0HttpClient, new Mem0ProviderScope() { ThreadId = Guid.NewGuid().ToString() })
// In this case we are storing memories scoped by application and user instead so that memories are retained across threads.
? new Mem0Provider(mem0HttpClient, new Mem0ProviderScope() { ApplicationId = "getting-started-agents", UserId = "sample-user" })
@@ -40,25 +40,25 @@ AIAgent agent = new AzureOpenAIClient(
: new Mem0Provider(mem0HttpClient, ctx.SerializedState, ctx.JsonSerializerOptions))
});
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
// Clear any existing memories for this scope to demonstrate fresh behavior.
Mem0Provider mem0Provider = thread.GetService<Mem0Provider>()!;
Mem0Provider mem0Provider = session.GetService<Mem0Provider>()!;
await mem0Provider.ClearStoredMemoriesAsync();
Console.WriteLine(await agent.RunAsync("Hi there! My name is Taylor and I'm planning a hiking trip to Patagonia in November.", thread));
Console.WriteLine(await agent.RunAsync("I'm travelling with my sister and we love finding scenic viewpoints.", thread));
Console.WriteLine(await agent.RunAsync("Hi there! My name is Taylor and I'm planning a hiking trip to Patagonia in November.", session));
Console.WriteLine(await agent.RunAsync("I'm travelling with my sister and we love finding scenic viewpoints.", session));
Console.WriteLine("\nWaiting briefly for Mem0 to index the new memories...\n");
await Task.Delay(TimeSpan.FromSeconds(2));
Console.WriteLine(await agent.RunAsync("What do you already know about my upcoming trip?", thread));
Console.WriteLine(await agent.RunAsync("What do you already know about my upcoming trip?", session));
Console.WriteLine("\n>> Serialize and deserialize the thread to demonstrate persisted state\n");
JsonElement serializedThread = thread.Serialize();
AgentThread restoredThread = await agent.DeserializeThreadAsync(serializedThread);
Console.WriteLine(await agent.RunAsync("Can you recap the personal details you remember?", restoredThread));
Console.WriteLine("\n>> Serialize and deserialize the session to demonstrate persisted state\n");
JsonElement serializedSession = session.Serialize();
AgentSession restoredSession = await agent.DeserializeSessionAsync(serializedSession);
Console.WriteLine(await agent.RunAsync("Can you recap the personal details you remember?", restoredSession));
Console.WriteLine("\n>> Start a new thread that shares the same Mem0 scope\n");
AgentThread newThread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("Summarize what you already know about me.", newThread));
Console.WriteLine("\n>> Start a new session that shares the same Mem0 scope\n");
AgentSession newSession = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("Summarize what you already know about me.", newSession));
@@ -24,10 +24,10 @@ ChatClient chatClient = new AzureOpenAIClient(
.GetChatClient(deploymentName);
// Create the agent and provide a factory to add our custom memory component to
// all threads created by the agent. Here each new memory component will have its own
// user info object, so each thread will have its own memory.
// all sessions created by the agent. Here each new memory component will have its own
// user info object, so each session will have its own memory.
// In real world applications/services, where the user info would be persisted in a database,
// and preferably shared between multiple threads used by the same user, ensure that the
// and preferably shared between multiple sessions used by the same user, ensure that the
// factory reads the user id from the current context and scopes the memory component
// and its storage to that user id.
AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions()
@@ -36,47 +36,47 @@ AIAgent agent = chatClient.AsAIAgent(new ChatClientAgentOptions()
AIContextProviderFactory = (ctx, ct) => new ValueTask<AIContextProvider>(new UserInfoMemory(chatClient.AsIChatClient(), ctx.SerializedState, ctx.JsonSerializerOptions))
});
// Create a new thread for the conversation.
AgentThread thread = await agent.GetNewThreadAsync();
// Create a new session for the conversation.
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(">> Use thread with blank memory\n");
Console.WriteLine(">> Use session with blank memory\n");
// Invoke the agent and output the text result.
Console.WriteLine(await agent.RunAsync("Hello, what is the square root of 9?", thread));
Console.WriteLine(await agent.RunAsync("My name is Ruaidhrí", thread));
Console.WriteLine(await agent.RunAsync("I am 20 years old", thread));
Console.WriteLine(await agent.RunAsync("Hello, what is the square root of 9?", session));
Console.WriteLine(await agent.RunAsync("My name is Ruaidhrí", session));
Console.WriteLine(await agent.RunAsync("I am 20 years old", session));
// We can serialize the thread. The serialized state will include the state of the memory component.
var threadElement = thread.Serialize();
// We can serialize the session. The serialized state will include the state of the memory component.
var sesionElement = session.Serialize();
Console.WriteLine("\n>> Use deserialized thread with previously created memories\n");
Console.WriteLine("\n>> Use deserialized session with previously created memories\n");
// Later we can deserialize the thread and continue the conversation with the previous memory component state.
var deserializedThread = await agent.DeserializeThreadAsync(threadElement);
Console.WriteLine(await agent.RunAsync("What is my name and age?", deserializedThread));
// Later we can deserialize the session and continue the conversation with the previous memory component state.
var deserializedSession = await agent.DeserializeSessionAsync(sesionElement);
Console.WriteLine(await agent.RunAsync("What is my name and age?", deserializedSession));
Console.WriteLine("\n>> Read memories from memory component\n");
// It's possible to access the memory component via the thread's GetService method.
var userInfo = deserializedThread.GetService<UserInfoMemory>()?.UserInfo;
// It's possible to access the memory component via the session's GetService method.
var userInfo = deserializedSession.GetService<UserInfoMemory>()?.UserInfo;
// Output the user info that was captured by the memory component.
Console.WriteLine($"MEMORY - User Name: {userInfo?.UserName}");
Console.WriteLine($"MEMORY - User Age: {userInfo?.UserAge}");
Console.WriteLine("\n>> Use new thread with previously created memories\n");
Console.WriteLine("\n>> Use new session with previously created memories\n");
// It is also possible to set the memories in a memory component on an individual thread.
// This is useful if we want to start a new thread, but have it share the same memories as a previous thread.
var newThread = await agent.GetNewThreadAsync();
if (userInfo is not null && newThread.GetService<UserInfoMemory>() is UserInfoMemory newThreadMemory)
// It is also possible to set the memories in a memory component on an individual session.
// This is useful if we want to start a new session, but have it share the same memories as a previous session.
var newSession = await agent.GetNewSessionAsync();
if (userInfo is not null && newSession.GetService<UserInfoMemory>() is UserInfoMemory newSessionMemory)
{
newThreadMemory.UserInfo = userInfo;
newSessionMemory.UserInfo = userInfo;
}
// Invoke the agent and output the text result.
// This time the agent should remember the user's name and use it in the response.
Console.WriteLine(await agent.RunAsync("What is my name and age?", newThread));
Console.WriteLine(await agent.RunAsync("What is my name and age?", newSession));
namespace SampleApp
{
@@ -52,17 +52,17 @@ public class OpenAIChatClientAgent : DelegatingAIAgent
/// Run the agent with the provided message and arguments.
/// </summary>
/// <param name="messages">The messages to pass to the agent.</param>
/// <param name="thread">The conversation thread to continue with this invocation. If not provided, creates a new thread. The thread will be mutated with the provided messages and agent response.</param>
/// <param name="session">The conversation session to continue with this invocation. If not provided, creates a new session. The session will be mutated with the provided messages and agent response.</param>
/// <param name="options">Optional parameters for agent invocation.</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>A <see cref="ChatCompletion"/> containing the list of <see cref="ChatMessage"/> items.</returns>
public virtual async Task<ChatCompletion> RunAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
var response = await this.RunAsync(messages.AsChatMessages(), thread, options, cancellationToken).ConfigureAwait(false);
var response = await this.RunAsync(messages.AsChatMessages(), session, options, cancellationToken).ConfigureAwait(false);
return response.AsOpenAIChatCompletion();
}
@@ -71,26 +71,26 @@ public class OpenAIChatClientAgent : DelegatingAIAgent
/// Run the agent streaming with the provided message and arguments.
/// </summary>
/// <param name="messages">The messages to pass to the agent.</param>
/// <param name="thread">The conversation thread to continue with this invocation. If not provided, creates a new thread. The thread will be mutated with the provided messages and agent response.</param>
/// <param name="session">The conversation session to continue with this invocation. If not provided, creates a new session. The session will be mutated with the provided messages and agent response.</param>
/// <param name="options">Optional parameters for agent invocation.</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>A <see cref="ChatCompletion"/> containing the list of <see cref="ChatMessage"/> items.</returns>
public virtual IAsyncEnumerable<StreamingChatCompletionUpdate> RunStreamingAsync(
IEnumerable<ChatMessage> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
var response = this.RunStreamingAsync(messages.AsChatMessages(), thread, options, cancellationToken);
var response = this.RunStreamingAsync(messages.AsChatMessages(), session, options, cancellationToken);
return response.AsChatResponseUpdatesAsync().AsOpenAIStreamingChatCompletionUpdatesAsync(cancellationToken);
}
/// <inheritdoc/>
protected sealed override Task<AgentResponse> RunCoreAsync(IEnumerable<Microsoft.Extensions.AI.ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
base.RunCoreAsync(messages, thread, options, cancellationToken);
protected sealed override Task<AgentResponse> RunCoreAsync(IEnumerable<Microsoft.Extensions.AI.ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
base.RunCoreAsync(messages, session, options, cancellationToken);
/// <inheritdoc/>
protected override IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(IEnumerable<Microsoft.Extensions.AI.ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
base.RunCoreStreamingAsync(messages, thread, options, cancellationToken);
protected override IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(IEnumerable<Microsoft.Extensions.AI.ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
base.RunCoreStreamingAsync(messages, session, options, cancellationToken);
}
@@ -52,17 +52,17 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
/// Run the agent with the provided message and arguments.
/// </summary>
/// <param name="messages">The messages to pass to the agent.</param>
/// <param name="thread">The conversation thread to continue with this invocation. If not provided, creates a new thread. The thread will be mutated with the provided messages and agent response.</param>
/// <param name="session">The conversation session to continue with this invocation. If not provided, creates a new session. The session will be mutated with the provided messages and agent response.</param>
/// <param name="options">Optional parameters for agent invocation.</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>A <see cref="ResponseResult"/> containing the list of <see cref="ChatMessage"/> items.</returns>
public virtual async Task<ResponseResult> RunAsync(
IEnumerable<ResponseItem> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
CancellationToken cancellationToken = default)
{
var response = await this.RunAsync(messages.AsChatMessages(), thread, options, cancellationToken).ConfigureAwait(false);
var response = await this.RunAsync(messages.AsChatMessages(), session, options, cancellationToken).ConfigureAwait(false);
return response.AsOpenAIResponse();
}
@@ -71,17 +71,17 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
/// Run the agent streaming with the provided message and arguments.
/// </summary>
/// <param name="messages">The messages to pass to the agent.</param>
/// <param name="thread">The conversation thread to continue with this invocation. If not provided, creates a new thread. The thread will be mutated with the provided messages and agent response.</param>
/// <param name="session">The conversation session to continue with this invocation. If not provided, creates a new session. The session will be mutated with the provided messages and agent response.</param>
/// <param name="options">Optional parameters for agent invocation.</param>
/// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
/// <returns>A <see cref="ResponseResult"/> containing the list of <see cref="ChatMessage"/> items.</returns>
public virtual async IAsyncEnumerable<StreamingResponseUpdate> RunStreamingAsync(
IEnumerable<ResponseItem> messages,
AgentThread? thread = null,
AgentSession? session = null,
AgentRunOptions? options = null,
[EnumeratorCancellation] CancellationToken cancellationToken = default)
{
var response = this.RunStreamingAsync(messages.AsChatMessages(), thread, options, cancellationToken);
var response = this.RunStreamingAsync(messages.AsChatMessages(), session, options, cancellationToken);
await foreach (var update in response.ConfigureAwait(false))
{
@@ -105,10 +105,10 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
}
/// <inheritdoc/>
protected sealed override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
base.RunCoreAsync(messages, thread, options, cancellationToken);
protected sealed override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
base.RunCoreAsync(messages, session, options, cancellationToken);
/// <inheritdoc/>
protected sealed override IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
base.RunCoreStreamingAsync(messages, thread, options, cancellationToken);
protected sealed override IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(IEnumerable<ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
base.RunCoreStreamingAsync(messages, session, options, cancellationToken);
}
@@ -1,7 +1,7 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to maintain conversation state using the OpenAIResponseClientAgent
// and AgentThread. By passing the same thread to multiple agent invocations, the agent
// and AgentSession. By passing the same session to multiple agent invocations, the agent
// automatically maintains the conversation history, allowing the AI model to understand
// context from previous exchanges.
@@ -29,8 +29,8 @@ ClientResult createConversationResult = await conversationClient.CreateConversat
using JsonDocument createConversationResultAsJson = JsonDocument.Parse(createConversationResult.GetRawResponse().Content.ToString());
string conversationId = createConversationResultAsJson.RootElement.GetProperty("id"u8)!.GetString()!;
// Create a thread for the conversation - this enables conversation state management for subsequent turns
AgentThread thread = await agent.GetNewThreadAsync(conversationId);
// Create a session for the conversation - this enables conversation state management for subsequent turns
AgentSession session = await agent.GetNewSessionAsync(conversationId);
Console.WriteLine("=== Multi-turn Conversation Demo ===\n");
@@ -38,22 +38,22 @@ Console.WriteLine("=== Multi-turn Conversation Demo ===\n");
Console.WriteLine("User: What is the capital of France?");
UserChatMessage firstMessage = new("What is the capital of France?");
// After this call, the conversation state associated in the options is stored in 'thread' and used in subsequent calls
ChatCompletion firstResponse = await agent.RunAsync([firstMessage], thread);
// After this call, the conversation state associated in the options is stored in 'session' and used in subsequent calls
ChatCompletion firstResponse = await agent.RunAsync([firstMessage], session);
Console.WriteLine($"Assistant: {firstResponse.Content.Last().Text}\n");
// Second turn: Follow-up question that relies on conversation context
Console.WriteLine("User: What famous landmarks are located there?");
UserChatMessage secondMessage = new("What famous landmarks are located there?");
ChatCompletion secondResponse = await agent.RunAsync([secondMessage], thread);
ChatCompletion secondResponse = await agent.RunAsync([secondMessage], session);
Console.WriteLine($"Assistant: {secondResponse.Content.Last().Text}\n");
// Third turn: Another follow-up that demonstrates context continuity
Console.WriteLine("User: How tall is the most famous one?");
UserChatMessage thirdMessage = new("How tall is the most famous one?");
ChatCompletion thirdResponse = await agent.RunAsync([thirdMessage], thread);
ChatCompletion thirdResponse = await agent.RunAsync([thirdMessage], session);
Console.WriteLine($"Assistant: {thirdResponse.Content.Last().Text}\n");
Console.WriteLine("=== End of Conversation ===");
@@ -4,7 +4,7 @@ This sample demonstrates how to maintain conversation state across multiple turn
## What This Sample Shows
- **Conversation State Management**: Shows how to use `ConversationClient` and `AgentThread` to maintain conversation context across multiple agent invocations
- **Conversation State Management**: Shows how to use `ConversationClient` and `AgentSession` to maintain conversation context across multiple agent invocations
- **Multi-turn Conversations**: Demonstrates follow-up questions that rely on context from previous messages in the conversation
- **Server-Side Storage**: Uses OpenAI's Conversation API to manage conversation history server-side, allowing the model to access previous messages without resending them
- **Conversation Lifecycle**: Demonstrates creating, retrieving, and deleting conversations
@@ -24,22 +24,22 @@ ConversationClient conversationClient = openAIClient.GetConversationClient();
ClientResult createConversationResult = await conversationClient.CreateConversationAsync(BinaryContent.Create(BinaryData.FromString("{}")));
```
### AgentThread for Conversation State
### AgentSession for Conversation State
The `AgentThread` works with `ChatClientAgentRunOptions` to link the agent to a server-side conversation:
The `AgentSession` works with `ChatClientAgentRunOptions` to link the agent to a server-side conversation:
```csharp
// Set up agent run options with the conversation ID
ChatClientAgentRunOptions agentRunOptions = new() { ChatOptions = new ChatOptions() { ConversationId = conversationId } };
// Create a thread for the conversation
AgentThread thread = await agent.GetNewThreadAsync();
// Create a session for the conversation
AgentSession session = await agent.GetNewSessionAsync();
// First call links the thread to the conversation
ChatCompletion firstResponse = await agent.RunAsync([firstMessage], thread, agentRunOptions);
// First call links the session to the conversation
ChatCompletion firstResponse = await agent.RunAsync([firstMessage], session, agentRunOptions);
// Subsequent calls use the thread without needing to pass options again
ChatCompletion secondResponse = await agent.RunAsync([secondMessage], thread);
// Subsequent calls use the session without needing to pass options again
ChatCompletion secondResponse = await agent.RunAsync([secondMessage], session);
```
### Retrieving Conversation History
@@ -59,9 +59,9 @@ foreach (ClientResult result in getConversationItemsResults.GetRawPages())
1. **Create an OpenAI Client**: Initialize an `OpenAIClient` with your API key
2. **Create a Conversation**: Use `ConversationClient` to create a server-side conversation
3. **Create an Agent**: Initialize an `OpenAIResponseClientAgent` with the desired model and instructions
4. **Create a Thread**: Call `agent.GetNewThreadAsync()` to create a new conversation thread
5. **Link Thread to Conversation**: Pass `ChatClientAgentRunOptions` with the `ConversationId` on the first call
6. **Send Messages**: Subsequent calls to `agent.RunAsync()` only need the thread - context is maintained
4. **Create a Session**: Call `agent.GetNewSessionAsync()` to create a new conversation session
5. **Link Session to Conversation**: Pass `ChatClientAgentRunOptions` with the `ConversationId` on the first call
6. **Send Messages**: Subsequent calls to `agent.RunAsync()` only need the session - context is maintained
7. **Cleanup**: Delete the conversation when done using `conversationClient.DeleteConversation()`
## Running the Sample
@@ -14,4 +14,4 @@ Agent Framework provides additional support to allow OpenAI developers to use th
|[Using Reasoning Capabilities](./Agent_OpenAI_Step02_Reasoning/)|This sample demonstrates how to create an AI agent with reasoning capabilities using OpenAI's reasoning models and response types.|
|[Creating an Agent from a ChatClient](./Agent_OpenAI_Step03_CreateFromChatClient/)|This sample demonstrates how to create an AI agent directly from an OpenAI.Chat.ChatClient instance using OpenAIChatClientAgent.|
|[Creating an Agent from an OpenAIResponseClient](./Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/)|This sample demonstrates how to create an AI agent directly from an OpenAI.Responses.OpenAIResponseClient instance using OpenAIResponseClientAgent.|
|[Managing Conversation State](./Agent_OpenAI_Step05_Conversation/)|This sample demonstrates how to maintain conversation state across multiple turns using the AgentThread for context continuity.|
|[Managing Conversation State](./Agent_OpenAI_Step05_Conversation/)|This sample demonstrates how to maintain conversation state across multiple turns using the AgentSession for context continuity.|
@@ -70,16 +70,16 @@ AIAgent agent = azureOpenAIClient
.WithAIContextProviderMessageRemoval()),
});
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(">> Asking about returns\n");
Console.WriteLine(await agent.RunAsync("Hi! I need help understanding the return policy.", thread));
Console.WriteLine(await agent.RunAsync("Hi! I need help understanding the return policy.", session));
Console.WriteLine("\n>> Asking about shipping\n");
Console.WriteLine(await agent.RunAsync("How long does standard shipping usually take?", thread));
Console.WriteLine(await agent.RunAsync("How long does standard shipping usually take?", session));
Console.WriteLine("\n>> Asking about product care\n");
Console.WriteLine(await agent.RunAsync("What is the best way to maintain the TrailRunner tent fabric?", thread));
Console.WriteLine(await agent.RunAsync("What is the best way to maintain the TrailRunner tent fabric?", session));
// Produces some sample search documents.
// Each one contains a source name and link, which the agent can use to cite sources in its responses.
@@ -74,22 +74,22 @@ AIAgent agent = azureOpenAIClient
AIContextProviderFactory = (ctx, ct) => new ValueTask<AIContextProvider>(new TextSearchProvider(SearchAdapter, ctx.SerializedState, ctx.JsonSerializerOptions, textSearchOptions))
});
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(">> Asking about SK threads\n");
Console.WriteLine(await agent.RunAsync("Hi! How do I create a thread in Semantic Kernel?", thread));
Console.WriteLine(">> Asking about SK sessions\n");
Console.WriteLine(await agent.RunAsync("Hi! How do I create a thread/session in Semantic Kernel?", session));
// Here we are asking a very vague question when taken out of context,
// but since we are including previous messages in our search using RecentMessageMemoryLimit
// the RAG search should still produce useful results.
Console.WriteLine("\n>> Asking about AF threads\n");
Console.WriteLine(await agent.RunAsync("and in Agent Framework?", thread));
Console.WriteLine("\n>> Asking about AF sessions\n");
Console.WriteLine(await agent.RunAsync("and in Agent Framework?", session));
Console.WriteLine("\n>> Contrasting Approaches\n");
Console.WriteLine(await agent.RunAsync("Please contrast the two approaches", thread));
Console.WriteLine(await agent.RunAsync("Please contrast the two approaches", session));
Console.WriteLine("\n>> Asking about ancestry\n");
Console.WriteLine(await agent.RunAsync("What are the predecessors to the Agent Framework?", thread));
Console.WriteLine(await agent.RunAsync("What are the predecessors to the Agent Framework?", session));
static async Task UploadDataFromMarkdown(string markdownUrl, string sourceName, VectorStoreCollection<Guid, DocumentationChunk> vectorStoreCollection, int chunkSize, int overlap)
{
@@ -32,16 +32,16 @@ AIAgent agent = new AzureOpenAIClient(
AIContextProviderFactory = (ctx, ct) => new ValueTask<AIContextProvider>(new TextSearchProvider(MockSearchAsync, ctx.SerializedState, ctx.JsonSerializerOptions, textSearchOptions))
});
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(">> Asking about returns\n");
Console.WriteLine(await agent.RunAsync("Hi! I need help understanding the return policy.", thread));
Console.WriteLine(await agent.RunAsync("Hi! I need help understanding the return policy.", session));
Console.WriteLine("\n>> Asking about shipping\n");
Console.WriteLine(await agent.RunAsync("How long does standard shipping usually take?", thread));
Console.WriteLine(await agent.RunAsync("How long does standard shipping usually take?", session));
Console.WriteLine("\n>> Asking about product care\n");
Console.WriteLine(await agent.RunAsync("What is the best way to maintain the TrailRunner tent fabric?", thread));
Console.WriteLine(await agent.RunAsync("What is the best way to maintain the TrailRunner tent fabric?", session));
static Task<IEnumerable<TextSearchProvider.TextSearchResult>> MockSearchAsync(string query, CancellationToken cancellationToken)
{
@@ -43,16 +43,16 @@ AIAgent agent = await aiProjectClient
instructions: "You are a helpful support specialist for Contoso Outdoors. Answer questions using the provided context and cite the source document when available.",
tools: [fileSearchTool]);
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(">> Asking about returns\n");
Console.WriteLine(await agent.RunAsync("Hi! I need help understanding the return policy.", thread));
Console.WriteLine(await agent.RunAsync("Hi! I need help understanding the return policy.", session));
Console.WriteLine("\n>> Asking about shipping\n");
Console.WriteLine(await agent.RunAsync("How long does standard shipping usually take?", thread));
Console.WriteLine(await agent.RunAsync("How long does standard shipping usually take?", session));
Console.WriteLine("\n>> Asking about product care\n");
Console.WriteLine(await agent.RunAsync("What is the best way to maintain the TrailRunner tent fabric?", thread));
Console.WriteLine(await agent.RunAsync("What is the best way to maintain the TrailRunner tent fabric?", session));
// Cleanup
await fileClient.DeleteFileAsync(uploadResult.Value.Id);
@@ -16,18 +16,18 @@ AIAgent agent = new AzureOpenAIClient(
.GetChatClient(deploymentName)
.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
// Invoke the agent with a multi-turn conversation, where the context is preserved in the thread object.
AgentThread thread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
Console.WriteLine(await agent.RunAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", thread));
// Invoke the agent with a multi-turn conversation, where the context is preserved in the session object.
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
Console.WriteLine(await agent.RunAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", session));
// Invoke the agent with a multi-turn conversation and streaming, where the context is preserved in the thread object.
thread = await agent.GetNewThreadAsync();
await foreach (var update in agent.RunStreamingAsync("Tell me a joke about a pirate.", thread))
// Invoke the agent with a multi-turn conversation and streaming, where the context is preserved in the session object.
session = await agent.GetNewSessionAsync();
await foreach (var update in agent.RunStreamingAsync("Tell me a joke about a pirate.", session))
{
Console.WriteLine(update);
}
await foreach (var update in agent.RunStreamingAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", thread))
await foreach (var update in agent.RunStreamingAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", session))
{
Console.WriteLine(update);
}
@@ -30,12 +30,12 @@ AIAgent agent = new AzureOpenAIClient(
.AsAIAgent(instructions: "You are a helpful assistant", tools: [new ApprovalRequiredAIFunction(AIFunctionFactory.Create(GetWeather))]);
// Call the agent and check if there are any user input requests to handle.
AgentThread thread = await agent.GetNewThreadAsync();
var response = await agent.RunAsync("What is the weather like in Amsterdam?", thread);
AgentSession session = await agent.GetNewSessionAsync();
var response = await agent.RunAsync("What is the weather like in Amsterdam?", session);
var userInputRequests = response.UserInputRequests.ToList();
// For streaming use:
// var updates = await agent.RunStreamingAsync("What is the weather like in Amsterdam?", thread).ToListAsync();
// var updates = await agent.RunStreamingAsync("What is the weather like in Amsterdam?", session).ToListAsync();
// userInputRequests = updates.SelectMany(x => x.UserInputRequests).ToList();
while (userInputRequests.Count > 0)
@@ -52,12 +52,12 @@ while (userInputRequests.Count > 0)
.ToList();
// Pass the user input responses back to the agent for further processing.
response = await agent.RunAsync(userInputResponses, thread);
response = await agent.RunAsync(userInputResponses, session);
userInputRequests = response.UserInputRequests.ToList();
// For streaming use:
// updates = await agent.RunStreamingAsync(userInputResponses, thread).ToListAsync();
// updates = await agent.RunStreamingAsync(userInputResponses, session).ToListAsync();
// userInputRequests = updates.SelectMany(x => x.UserInputRequests).ToList();
}
@@ -18,24 +18,24 @@ AIAgent agent = new AzureOpenAIClient(
.GetChatClient(deploymentName)
.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
// Start a new thread for the agent conversation.
AgentThread thread = await agent.GetNewThreadAsync();
// Start a new session for the agent conversation.
AgentSession session = await agent.GetNewSessionAsync();
// Run the agent with a new thread.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
// Run the agent with a new session.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
// Serialize the thread state to a JsonElement, so it can be stored for later use.
JsonElement serializedThread = thread.Serialize();
// Serialize the session state to a JsonElement, so it can be stored for later use.
JsonElement serializedSession = session.Serialize();
// Save the serialized thread to a temporary file (for demonstration purposes).
// Save the serialized session to a temporary file (for demonstration purposes).
string tempFilePath = Path.GetTempFileName();
await File.WriteAllTextAsync(tempFilePath, JsonSerializer.Serialize(serializedThread));
await File.WriteAllTextAsync(tempFilePath, JsonSerializer.Serialize(serializedSession));
// Load the serialized thread from the temporary file (for demonstration purposes).
JsonElement reloadedSerializedThread = JsonElement.Parse(await File.ReadAllTextAsync(tempFilePath));
// Load the serialized session from the temporary file (for demonstration purposes).
JsonElement reloadedSerializedSession = JsonElement.Parse(await File.ReadAllTextAsync(tempFilePath));
// Deserialize the thread state after loading from storage.
AgentThread resumedThread = await agent.DeserializeThreadAsync(reloadedSerializedThread);
// Deserialize the session state after loading from storage.
AgentSession resumedSession = await agent.DeserializeSessionAsync(reloadedSerializedSession);
// Run the agent again with the resumed thread.
Console.WriteLine(await agent.RunAsync("Now tell the same joke in the voice of a pirate, and add some emojis to the joke.", resumedThread));
// Run the agent again with the resumed session.
Console.WriteLine(await agent.RunAsync("Now tell the same joke in the voice of a pirate, and add some emojis to the joke.", resumedSession));
@@ -33,37 +33,37 @@ AIAgent agent = new AzureOpenAIClient(
Name = "Joker",
ChatHistoryProviderFactory = (ctx, ct) => new ValueTask<ChatHistoryProvider>(
// Create a new ChatHistoryProvider for this agent that stores chat history in a vector store.
// Each thread must get its own copy of the VectorChatHistoryProvider, since the provider
// Each session must get its own copy of the VectorChatHistoryProvider, since the provider
// also contains the id that the chat history is stored under.
new VectorChatHistoryProvider(vectorStore, ctx.SerializedState, ctx.JsonSerializerOptions))
});
// Start a new thread for the agent conversation.
AgentThread thread = await agent.GetNewThreadAsync();
// Start a new session for the agent conversation.
AgentSession session = await agent.GetNewSessionAsync();
// Run the agent with the thread that stores chat history in the vector store.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
// Run the agent with the session that stores chat history in the vector store.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
// Serialize the thread state, so it can be stored for later use.
// Since the chat history is stored in the vector store, the serialized thread
// Serialize the session state, so it can be stored for later use.
// Since the chat history is stored in the vector store, the serialized session
// only contains the guid that the messages are stored under in the vector store.
JsonElement serializedThread = thread.Serialize();
JsonElement serializedSession = session.Serialize();
Console.WriteLine("\n--- Serialized thread ---\n");
Console.WriteLine(JsonSerializer.Serialize(serializedThread, new JsonSerializerOptions { WriteIndented = true }));
Console.WriteLine("\n--- Serialized session ---\n");
Console.WriteLine(JsonSerializer.Serialize(serializedSession, new JsonSerializerOptions { WriteIndented = true }));
// The serialized thread can now be saved to a database, file, or any other storage mechanism
// The serialized session can now be saved to a database, file, or any other storage mechanism
// and loaded again later.
// Deserialize the thread state after loading from storage.
AgentThread resumedThread = await agent.DeserializeThreadAsync(serializedThread);
// Deserialize the session state after loading from storage.
AgentSession resumedSession = await agent.DeserializeSessionAsync(serializedSession);
// Run the agent with the thread that stores chat history in the vector store a second time.
Console.WriteLine(await agent.RunAsync("Now tell the same joke in the voice of a pirate, and add some emojis to the joke.", resumedThread));
// Run the agent with the session that stores chat history in the vector store a second time.
Console.WriteLine(await agent.RunAsync("Now tell the same joke in the voice of a pirate, and add some emojis to the joke.", resumedSession));
// We can access the VectorChatHistoryProvider via the thread's GetService method if we need to read the key under which chat history is stored.
var chatHistoryProvider = resumedThread.GetService<VectorChatHistoryProvider>()!;
Console.WriteLine($"\nThread is stored in vector store under key: {chatHistoryProvider.ThreadDbKey}");
// We can access the VectorChatHistoryProvider via the session's GetService method if we need to read the key under which chat history is stored.
var chatHistoryProvider = resumedSession.GetService<VectorChatHistoryProvider>()!;
Console.WriteLine($"\nSession is stored in vector store under key: {chatHistoryProvider.SessionDbKey}");
namespace SampleApp
{
@@ -80,12 +80,12 @@ namespace SampleApp
if (serializedState.ValueKind is JsonValueKind.String)
{
// Here we can deserialize the thread id so that we can access the same messages as before the suspension.
this.ThreadDbKey = serializedState.Deserialize<string>();
// Here we can deserialize the session id so that we can access the same messages as before the suspension.
this.SessionDbKey = serializedState.Deserialize<string>();
}
}
public string? ThreadDbKey { get; private set; }
public string? SessionDbKey { get; private set; }
public override async ValueTask<IEnumerable<ChatMessage>> InvokingAsync(InvokingContext context, CancellationToken cancellationToken = default)
{
@@ -94,7 +94,7 @@ namespace SampleApp
var records = await collection
.GetAsync(
x => x.ThreadId == this.ThreadDbKey, 10,
x => x.SessionId == this.SessionDbKey, 10,
new() { OrderBy = x => x.Descending(y => y.Timestamp) },
cancellationToken)
.ToListAsync(cancellationToken);
@@ -113,7 +113,7 @@ namespace SampleApp
return;
}
this.ThreadDbKey ??= Guid.NewGuid().ToString("N");
this.SessionDbKey ??= Guid.NewGuid().ToString("N");
var collection = this._vectorStore.GetCollection<string, ChatHistoryItem>("ChatHistory");
await collection.EnsureCollectionExistsAsync(cancellationToken);
@@ -124,17 +124,17 @@ namespace SampleApp
await collection.UpsertAsync(allNewMessages.Select(x => new ChatHistoryItem()
{
Key = this.ThreadDbKey + x.MessageId,
Key = this.SessionDbKey + x.MessageId,
Timestamp = DateTimeOffset.UtcNow,
ThreadId = this.ThreadDbKey,
SessionId = this.SessionDbKey,
SerializedMessage = JsonSerializer.Serialize(x),
MessageText = x.Text
}), cancellationToken);
}
public override JsonElement Serialize(JsonSerializerOptions? jsonSerializerOptions = null) =>
// We have to serialize the thread id, so that on deserialization we can retrieve the messages using the same thread id.
JsonSerializer.SerializeToElement(this.ThreadDbKey);
// We have to serialize the session id, so that on deserialization we can retrieve the messages using the same session id.
JsonSerializer.SerializeToElement(this.SessionDbKey);
/// <summary>
/// The data structure used to store chat history items in the vector store.
@@ -145,7 +145,7 @@ namespace SampleApp
public string? Key { get; set; }
[VectorStoreData]
public string? ThreadId { get; set; }
public string? SessionId { get; set; }
[VectorStoreData]
public DateTimeOffset? Timestamp { get; set; }
@@ -44,12 +44,12 @@ await host.RunAsync().ConfigureAwait(false);
/// </summary>
internal sealed class SampleService(AIAgent agent, IHostApplicationLifetime appLifetime) : IHostedService
{
private AgentThread? _thread;
private AgentSession? _session;
public async Task StartAsync(CancellationToken cancellationToken)
{
// Create a thread that will be used for the entirety of the service lifetime so that the user can ask follow up questions.
this._thread = await agent.GetNewThreadAsync(cancellationToken);
// Create a session that will be used for the entirety of the service lifetime so that the user can ask follow up questions.
this._session = await agent.GetNewSessionAsync(cancellationToken);
_ = this.RunAsync(appLifetime.ApplicationStopping);
}
@@ -72,7 +72,7 @@ internal sealed class SampleService(AIAgent agent, IHostApplicationLifetime appL
}
// Stream the output to the console as it is generated.
await foreach (var update in agent.RunStreamingAsync(input, this._thread, cancellationToken: cancellationToken))
await foreach (var update in agent.RunStreamingAsync(input, this._session, cancellationToken: cancellationToken))
{
Console.Write(update);
}
@@ -22,9 +22,9 @@ ChatMessage message = new(ChatRole.User, [
new UriContent("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", "image/jpeg")
]);
var thread = await agent.GetNewThreadAsync();
var session = await agent.GetNewSessionAsync();
await foreach (var update in agent.RunStreamingAsync(message, thread))
await foreach (var update in agent.RunStreamingAsync(message, session))
{
Console.WriteLine(update);
}
@@ -32,41 +32,41 @@ AIAgent agent = new AzureOpenAIClient(
// Enable background responses (only supported by {Azure}OpenAI Responses at this time).
AgentRunOptions options = new() { AllowBackgroundResponses = true };
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
// Start the initial run.
AgentResponse response = await agent.RunAsync("Write a very long novel about a team of astronauts exploring an uncharted galaxy.", thread, options);
AgentResponse response = await agent.RunAsync("Write a very long novel about a team of astronauts exploring an uncharted galaxy.", session, options);
// Poll for background responses until complete.
while (response.ContinuationToken is not null)
{
PersistAgentState(thread, response.ContinuationToken);
PersistAgentState(session, response.ContinuationToken);
await Task.Delay(TimeSpan.FromSeconds(10));
var (restoredThread, continuationToken) = await RestoreAgentState(agent);
var (restoredSession, continuationToken) = await RestoreAgentState(agent);
options.ContinuationToken = continuationToken;
response = await agent.RunAsync(restoredThread, options);
response = await agent.RunAsync(restoredSession, options);
}
Console.WriteLine(response.Text);
void PersistAgentState(AgentThread thread, ResponseContinuationToken? continuationToken)
void PersistAgentState(AgentSession? session, ResponseContinuationToken? continuationToken)
{
stateStore["thread"] = thread.Serialize();
stateStore["session"] = session!.Serialize();
stateStore["continuationToken"] = JsonSerializer.SerializeToElement(continuationToken, AgentAbstractionsJsonUtilities.DefaultOptions.GetTypeInfo(typeof(ResponseContinuationToken)));
}
async Task<(AgentThread Thread, ResponseContinuationToken? ContinuationToken)> RestoreAgentState(AIAgent agent)
async Task<(AgentSession Session, ResponseContinuationToken? ContinuationToken)> RestoreAgentState(AIAgent agent)
{
JsonElement serializedThread = stateStore["thread"] ?? throw new InvalidOperationException("No serialized thread found in state store.");
JsonElement serializedSession = stateStore["session"] ?? throw new InvalidOperationException("No serialized session found in state store.");
JsonElement? serializedToken = stateStore["continuationToken"];
AgentThread thread = await agent.DeserializeThreadAsync(serializedThread);
AgentSession session = await agent.DeserializeSessionAsync(serializedSession);
ResponseContinuationToken? continuationToken = (ResponseContinuationToken?)serializedToken?.Deserialize(AgentAbstractionsJsonUtilities.DefaultOptions.GetTypeInfo(typeof(ResponseContinuationToken)));
return (thread, continuationToken);
return (session, continuationToken);
}
[Description("Researches relevant space facts and scientific information for writing a science fiction novel")]
@@ -45,7 +45,7 @@ var middlewareEnabledAgent = originalAgent
.Use(GuardrailMiddleware, null)
.Build();
var thread = await middlewareEnabledAgent.GetNewThreadAsync();
var session = await middlewareEnabledAgent.GetNewSessionAsync();
Console.WriteLine("\n\n=== Example 1: Wording Guardrail ===");
var guardRailedResponse = await middlewareEnabledAgent.RunAsync("Tell me something harmful.");
@@ -65,7 +65,7 @@ var options = new ChatClientAgentRunOptions(new()
Tools = [AIFunctionFactory.Create(GetWeather, name: nameof(GetWeather))]
});
var functionCallResponse = await middlewareEnabledAgent.RunAsync("What's the current time and the weather in Seattle?", thread, options);
var functionCallResponse = await middlewareEnabledAgent.RunAsync("What's the current time and the weather in Seattle?", session, options);
Console.WriteLine($"Function calling response: {functionCallResponse}");
// Special per-request middleware agent.
@@ -89,7 +89,7 @@ var response = await originalAgent // Using per-request middleware pipeline with
.Use(PerRequestFunctionCallingMiddleware)
.Use(ConsolePromptingApprovalMiddleware, null)
.Build()
.RunAsync("What's the current time and the weather in Seattle?", thread, optionsWithApproval);
.RunAsync("What's the current time and the weather in Seattle?", session, optionsWithApproval);
Console.WriteLine($"Per-request middleware response: {response}");
@@ -131,13 +131,13 @@ async ValueTask<object?> PerRequestFunctionCallingMiddleware(AIAgent agent, Func
}
// This middleware redacts PII information from input and output messages.
async Task<AgentResponse> PIIMiddleware(IEnumerable<ChatMessage> messages, AgentThread? thread, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
async Task<AgentResponse> PIIMiddleware(IEnumerable<ChatMessage> messages, AgentSession? session, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
{
// Redact PII information from input messages
var filteredMessages = FilterMessages(messages);
Console.WriteLine("Pii Middleware - Filtered Messages Pre-Run");
var response = await innerAgent.RunAsync(filteredMessages, thread, options, cancellationToken).ConfigureAwait(false);
var response = await innerAgent.RunAsync(filteredMessages, session, options, cancellationToken).ConfigureAwait(false);
// Redact PII information from output messages
response.Messages = FilterMessages(response.Messages);
@@ -171,7 +171,7 @@ async Task<AgentResponse> PIIMiddleware(IEnumerable<ChatMessage> messages, Agent
}
// This middleware enforces guardrails by redacting certain keywords from input and output messages.
async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages, AgentThread? thread, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages, AgentSession? session, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
{
// Redact keywords from input messages
var filteredMessages = FilterMessages(messages);
@@ -179,7 +179,7 @@ async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages,
Console.WriteLine("Guardrail Middleware - Filtered messages Pre-Run");
// Proceed with the agent run
var response = await innerAgent.RunAsync(filteredMessages, thread, options, cancellationToken);
var response = await innerAgent.RunAsync(filteredMessages, session, options, cancellationToken);
// Redact keywords from output messages
response.Messages = FilterMessages(response.Messages);
@@ -208,9 +208,9 @@ async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages,
}
// This middleware handles Human in the loop console interaction for any user approval required during function calling.
async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMessage> messages, AgentThread? thread, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMessage> messages, AgentSession? session, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
{
var response = await innerAgent.RunAsync(messages, thread, options, cancellationToken);
var response = await innerAgent.RunAsync(messages, session, options, cancellationToken);
var userInputRequests = response.UserInputRequests.ToList();
@@ -229,7 +229,7 @@ async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMes
})
.ToList();
response = await innerAgent.RunAsync(response.Messages, thread, options, cancellationToken);
response = await innerAgent.RunAsync(response.Messages, session, options, cancellationToken);
userInputRequests = response.UserInputRequests.ToList();
}
@@ -27,23 +27,23 @@ AIAgent agent = new AzureOpenAIClient(
ChatHistoryProviderFactory = (ctx, ct) => new ValueTask<ChatHistoryProvider>(new InMemoryChatHistoryProvider(new MessageCountingChatReducer(2), ctx.SerializedState, ctx.JsonSerializerOptions))
});
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
// Invoke the agent and output the text result.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
// Get the chat history to see how many messages are stored.
IList<ChatMessage>? chatHistory = thread.GetService<IList<ChatMessage>>();
IList<ChatMessage>? chatHistory = session.GetService<IList<ChatMessage>>();
Console.WriteLine($"\nChat history has {chatHistory?.Count} messages.\n");
// Invoke the agent a few more times.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a robot.", thread));
Console.WriteLine(await agent.RunAsync("Tell me a joke about a robot.", session));
Console.WriteLine($"\nChat history has {chatHistory?.Count} messages.\n");
Console.WriteLine(await agent.RunAsync("Tell me a joke about a lemur.", thread));
Console.WriteLine(await agent.RunAsync("Tell me a joke about a lemur.", session));
Console.WriteLine($"\nChat history has {chatHistory?.Count} messages.\n");
// At this point, the chat history has exceeded the limit and the original message will not exist anymore,
// so asking a follow up question about it will not work as expected.
Console.WriteLine(await agent.RunAsync("Tell me the joke about the pirate again, but add emojis and use the voice of a parrot.", thread));
Console.WriteLine(await agent.RunAsync("Tell me the joke about the pirate again, but add emojis and use the voice of a parrot.", session));
Console.WriteLine($"\nChat history has {chatHistory?.Count} messages.\n");
@@ -19,10 +19,10 @@ AIAgent agent = new AzureOpenAIClient(
// Enable background responses (only supported by OpenAI Responses at this time).
AgentRunOptions options = new() { AllowBackgroundResponses = true };
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
// Start the initial run.
AgentResponse response = await agent.RunAsync("Write a very long novel about otters in space.", thread, options);
AgentResponse response = await agent.RunAsync("Write a very long novel about otters in space.", session, options);
// Poll until the response is complete.
while (response.ContinuationToken is { } token)
@@ -33,19 +33,19 @@ while (response.ContinuationToken is { } token)
// Continue with the token.
options.ContinuationToken = token;
response = await agent.RunAsync(thread, options);
response = await agent.RunAsync(session, options);
}
// Display the result.
Console.WriteLine(response.Text);
// Reset options and thread for streaming.
// Reset options and session for streaming.
options = new() { AllowBackgroundResponses = true };
thread = await agent.GetNewThreadAsync();
session = await agent.GetNewSessionAsync();
AgentResponseUpdate? lastReceivedUpdate = null;
// Start streaming.
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Write a very long novel about otters in space.", thread, options))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Write a very long novel about otters in space.", session, options))
{
// Output each update.
Console.Write(update.Text);
@@ -63,7 +63,7 @@ await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Write a ve
// Resume from interruption point.
options.ContinuationToken = lastReceivedUpdate?.ContinuationToken;
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(thread, options))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(session, options))
{
// Output each update.
Console.Write(update.Text);
@@ -39,9 +39,9 @@ Console.WriteLine();
try
{
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
await foreach (var response in agent.RunStreamingAsync(Task, thread))
await foreach (var response in agent.RunStreamingAsync(Task, session))
{
Console.Write(response.Text);
}
@@ -12,9 +12,9 @@
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Bot.ObjectModel" />
<PackageReference Include="Microsoft.Bot.ObjectModel.Json" />
<PackageReference Include="Microsoft.Bot.ObjectModel.PowerFx" />
<PackageReference Include="Microsoft.Agents.ObjectModel" />
<PackageReference Include="Microsoft.Agents.ObjectModel.Json" />
<PackageReference Include="Microsoft.Agents.ObjectModel.PowerFx" />
</ItemGroup>
<ItemGroup>
@@ -12,9 +12,9 @@
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Bot.ObjectModel" />
<PackageReference Include="Microsoft.Bot.ObjectModel.Json" />
<PackageReference Include="Microsoft.Bot.ObjectModel.PowerFx" />
<PackageReference Include="Microsoft.Agents.ObjectModel" />
<PackageReference Include="Microsoft.Agents.ObjectModel.Json" />
<PackageReference Include="Microsoft.Agents.ObjectModel.PowerFx" />
</ItemGroup>
<ItemGroup>
@@ -58,20 +58,20 @@ AIAgent agent = new AzureOpenAIClient(
});
// Invoke the agent and output the text result.
AgentThread thread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("I need to pick up milk from the supermarket.", thread) + "\n");
Console.WriteLine(await agent.RunAsync("I need to take Sally for soccer practice.", thread) + "\n");
Console.WriteLine(await agent.RunAsync("I need to make a dentist appointment for Jimmy.", thread) + "\n");
Console.WriteLine(await agent.RunAsync("I've taken Sally to soccer practice.", thread) + "\n");
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("I need to pick up milk from the supermarket.", session) + "\n");
Console.WriteLine(await agent.RunAsync("I need to take Sally for soccer practice.", session) + "\n");
Console.WriteLine(await agent.RunAsync("I need to make a dentist appointment for Jimmy.", session) + "\n");
Console.WriteLine(await agent.RunAsync("I've taken Sally to soccer practice.", session) + "\n");
// We can serialize the thread, and it will contain both the chat history and the data that each AI context provider serialized.
JsonElement serializedThread = thread.Serialize();
// We can serialize the session, and it will contain both the chat history and the data that each AI context provider serialized.
JsonElement serializedSession = session.Serialize();
// Let's print it to console to show the contents.
Console.WriteLine(JsonSerializer.Serialize(serializedThread, options: new JsonSerializerOptions() { WriteIndented = true, IndentSize = 2 }) + "\n");
// The serialized thread can be stored long term in a persistent store, but in this case we will just deserialize again and continue the conversation.
thread = await agent.DeserializeThreadAsync(serializedThread);
Console.WriteLine(JsonSerializer.Serialize(serializedSession, options: new JsonSerializerOptions() { WriteIndented = true, IndentSize = 2 }) + "\n");
// The serialized session can be stored long term in a persistent store, but in this case we will just deserialize again and continue the conversation.
session = await agent.DeserializeSessionAsync(serializedSession);
Console.WriteLine(await agent.RunAsync("Considering my appointments, can you create a plan for my day that plans out when I should complete the items on my todo list?", thread) + "\n");
Console.WriteLine(await agent.RunAsync("Considering my appointments, can you create a plan for my day that plans out when I should complete the items on my todo list?", session) + "\n");
namespace SampleApp
{
@@ -12,9 +12,9 @@
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Microsoft.Bot.ObjectModel" />
<PackageReference Include="Microsoft.Bot.ObjectModel.Json" />
<PackageReference Include="Microsoft.Bot.ObjectModel.PowerFx" />
<PackageReference Include="Microsoft.Agents.ObjectModel" />
<PackageReference Include="Microsoft.Agents.ObjectModel.Json" />
<PackageReference Include="Microsoft.Agents.ObjectModel.PowerFx" />
</ItemGroup>
<ItemGroup>
@@ -22,25 +22,25 @@ AgentVersionCreationOptions options = new(new PromptAgentDefinition(model: deplo
// Retrieve an AIAgent for the created server side agent version.
ChatClientAgent jokerAgent = await aiProjectClient.CreateAIAgentAsync(name: JokerName, options);
// Invoke the agent with a multi-turn conversation, where the context is preserved in the thread object.
// Invoke the agent with a multi-turn conversation, where the context is preserved in the session object.
// Create a conversation in the server
ProjectConversationsClient conversationsClient = aiProjectClient.GetProjectOpenAIClient().GetProjectConversationsClient();
ProjectConversation conversation = await conversationsClient.CreateProjectConversationAsync();
// Providing the conversation Id is not strictly necessary, but by not providing it no information will show up in the Foundry Project UI as conversations.
// Threads that doesn't have a conversation Id will work based on the `PreviousResponseId`.
AgentThread thread = await jokerAgent.GetNewThreadAsync(conversation.Id);
// Sessions that don't have a conversation Id will work based on the `PreviousResponseId`.
AgentSession session = await jokerAgent.GetNewSessionAsync(conversation.Id);
Console.WriteLine(await jokerAgent.RunAsync("Tell me a joke about a pirate.", thread));
Console.WriteLine(await jokerAgent.RunAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", thread));
Console.WriteLine(await jokerAgent.RunAsync("Tell me a joke about a pirate.", session));
Console.WriteLine(await jokerAgent.RunAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", session));
// Invoke the agent with a multi-turn conversation and streaming, where the context is preserved in the thread object.
thread = await jokerAgent.GetNewThreadAsync(conversation.Id);
await foreach (AgentResponseUpdate update in jokerAgent.RunStreamingAsync("Tell me a joke about a pirate.", thread))
// Invoke the agent with a multi-turn conversation and streaming, where the context is preserved in the session object.
session = await jokerAgent.GetNewSessionAsync(conversation.Id);
await foreach (AgentResponseUpdate update in jokerAgent.RunStreamingAsync("Tell me a joke about a pirate.", session))
{
Console.WriteLine(update);
}
await foreach (AgentResponseUpdate update in jokerAgent.RunStreamingAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", thread))
await foreach (AgentResponseUpdate update in jokerAgent.RunStreamingAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", session))
{
Console.WriteLine(update);
}
@@ -54,6 +54,6 @@ The sample will:
When working with multi-turn conversations, there are two approaches:
- **With Conversation ID**: By passing a `conversation.Id` to `GetNewThreadAsync()`, the conversation will be visible in the Azure Foundry Project UI. This is useful for tracking and debugging conversations.
- **Without Conversation ID**: Threads created without a conversation ID still work correctly, maintaining context via `PreviousResponseId`. However, these conversations may not appear in the Foundry UI.
- **With Conversation ID**: By passing a `conversation.Id` to `GetNewSessionAsync()`, the conversation will be visible in the Azure Foundry Project UI. This is useful for tracking and debugging conversations.
- **Without Conversation ID**: Sessions created without a conversation ID still work correctly, maintaining context via `PreviousResponseId`. However, these conversations may not appear in the Foundry UI.
@@ -37,12 +37,12 @@ var newAgent = await aiProjectClient.CreateAIAgentAsync(name: AssistantName, mod
var existingAgent = await aiProjectClient.GetAIAgentAsync(name: AssistantName, tools: [tool]);
// Non-streaming agent interaction with function tools.
AgentThread thread = await existingAgent.GetNewThreadAsync();
Console.WriteLine(await existingAgent.RunAsync("What is the weather like in Amsterdam?", thread));
AgentSession session = await existingAgent.GetNewSessionAsync();
Console.WriteLine(await existingAgent.RunAsync("What is the weather like in Amsterdam?", session));
// Streaming agent interaction with function tools.
thread = await existingAgent.GetNewThreadAsync();
await foreach (AgentResponseUpdate update in existingAgent.RunStreamingAsync("What is the weather like in Amsterdam?", thread))
session = await existingAgent.GetNewSessionAsync();
await foreach (AgentResponseUpdate update in existingAgent.RunStreamingAsync("What is the weather like in Amsterdam?", session))
{
Console.WriteLine(update);
}
@@ -32,8 +32,8 @@ AIAgent agent = await aiProjectClient.CreateAIAgentAsync(name: AssistantName, mo
// Call the agent with approval-required function tools.
// The agent will request approval before invoking the function.
AgentThread thread = await agent.GetNewThreadAsync();
AgentResponse response = await agent.RunAsync("What is the weather like in Amsterdam?", thread);
AgentSession session = await agent.GetNewSessionAsync();
AgentResponse response = await agent.RunAsync("What is the weather like in Amsterdam?", session);
// Check if there are any user input requests (approvals needed).
List<UserInputRequestContent> userInputRequests = response.UserInputRequests.ToList();
@@ -53,7 +53,7 @@ while (userInputRequests.Count > 0)
.ToList();
// Pass the user input responses back to the agent for further processing.
response = await agent.RunAsync(userInputMessages, thread);
response = await agent.RunAsync(userInputMessages, session);
userInputRequests = response.UserInputRequests.ToList();
}
@@ -18,27 +18,27 @@ AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential(
AIAgent agent = await aiProjectClient.CreateAIAgentAsync(name: JokerName, model: deploymentName, instructions: JokerInstructions);
// Start a new thread for the agent conversation.
AgentThread thread = await agent.GetNewThreadAsync();
// Start a new session for the agent conversation.
AgentSession session = await agent.GetNewSessionAsync();
// Run the agent with a new thread.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
// Run the agent with a new session.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
// Serialize the thread state to a JsonElement, so it can be stored for later use.
JsonElement serializedThread = thread.Serialize();
// Serialize the session state to a JsonElement, so it can be stored for later use.
JsonElement serializedSession = session.Serialize();
// Save the serialized thread to a temporary file (for demonstration purposes).
// Save the serialized session to a temporary file (for demonstration purposes).
string tempFilePath = Path.GetTempFileName();
await File.WriteAllTextAsync(tempFilePath, JsonSerializer.Serialize(serializedThread));
await File.WriteAllTextAsync(tempFilePath, JsonSerializer.Serialize(serializedSession));
// Load the serialized thread from the temporary file (for demonstration purposes).
JsonElement reloadedSerializedThread = JsonElement.Parse(await File.ReadAllTextAsync(tempFilePath))!;
// Load the serialized session from the temporary file (for demonstration purposes).
JsonElement reloadedSerializedSession = JsonElement.Parse(await File.ReadAllTextAsync(tempFilePath))!;
// Deserialize the thread state after loading from storage.
AgentThread resumedThread = await agent.DeserializeThreadAsync(reloadedSerializedThread);
// Deserialize the session state after loading from storage.
AgentSession resumedSession = await agent.DeserializeSessionAsync(reloadedSerializedSession);
// Run the agent again with the resumed thread.
Console.WriteLine(await agent.RunAsync("Now tell the same joke in the voice of a pirate, and add some emojis to the joke.", resumedThread));
// Run the agent again with the resumed session.
Console.WriteLine(await agent.RunAsync("Now tell the same joke in the voice of a pirate, and add some emojis to the joke.", resumedSession));
// Cleanup by agent name removes the agent version created.
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
@@ -38,12 +38,12 @@ AIAgent agent = (await aiProjectClient.CreateAIAgentAsync(name: JokerName, model
.Build();
// Invoke the agent and output the text result.
AgentThread thread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
// Invoke the agent with streaming support.
thread = await agent.GetNewThreadAsync();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Tell me a joke about a pirate.", thread))
session = await agent.GetNewSessionAsync();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Tell me a joke about a pirate.", session))
{
Console.WriteLine(update);
}
@@ -49,12 +49,12 @@ await host.RunAsync().ConfigureAwait(false);
/// </summary>
internal sealed class SampleService(AIProjectClient client, AIAgent agent, IHostApplicationLifetime appLifetime) : IHostedService
{
private AgentThread? _thread;
private AgentSession? _session;
public async Task StartAsync(CancellationToken cancellationToken)
{
// Create a thread that will be used for the entirety of the service lifetime so that the user can ask follow up questions.
this._thread = await agent.GetNewThreadAsync(cancellationToken);
// Create a session that will be used for the entirety of the service lifetime so that the user can ask follow up questions.
this._session = await agent.GetNewSessionAsync(cancellationToken);
_ = this.RunAsync(appLifetime.ApplicationStopping);
}
@@ -77,7 +77,7 @@ internal sealed class SampleService(AIProjectClient client, AIAgent agent, IHost
}
// Stream the output to the console as it is generated.
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(input, this._thread, cancellationToken: cancellationToken))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(input, this._session, cancellationToken: cancellationToken))
{
Console.Write(update);
}
@@ -24,9 +24,9 @@ ChatMessage message = new(ChatRole.User, [
new DataContent(File.ReadAllBytes("assets/walkway.jpg"), "image/jpeg")
]);
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(message, thread))
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(message, session))
{
Console.WriteLine(update);
}
@@ -39,8 +39,8 @@ AIAgent agent = await aiProjectClient.CreateAIAgentAsync(
tools: [weatherAgent.AsAIFunction()]);
// Invoke the agent and output the text result.
AgentThread thread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?", thread));
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?", session));
// Cleanup by agent name removes the agent versions created.
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
@@ -49,7 +49,7 @@ AIAgent middlewareEnabledAgent = originalAgent
.Use(GuardrailMiddleware, null)
.Build();
AgentThread thread = await middlewareEnabledAgent.GetNewThreadAsync();
AgentSession session = await middlewareEnabledAgent.GetNewSessionAsync();
Console.WriteLine("\n\n=== Example 1: Wording Guardrail ===");
AgentResponse guardRailedResponse = await middlewareEnabledAgent.RunAsync("Tell me something harmful.");
@@ -63,7 +63,7 @@ Console.WriteLine("\n\n=== Example 3: Agent function middleware ===");
// Agent function middleware support is limited to agents that wraps a upstream ChatClientAgent or derived from it.
AgentResponse functionCallResponse = await middlewareEnabledAgent.RunAsync("What's the current time and the weather in Seattle?", thread);
AgentResponse functionCallResponse = await middlewareEnabledAgent.RunAsync("What's the current time and the weather in Seattle?", session);
Console.WriteLine($"Function calling response: {functionCallResponse}");
// Special per-request middleware agent.
@@ -113,13 +113,13 @@ async ValueTask<object?> FunctionCallOverrideWeather(AIAgent agent, FunctionInvo
}
// This middleware redacts PII information from input and output messages.
async Task<AgentResponse> PIIMiddleware(IEnumerable<ChatMessage> messages, AgentThread? thread, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
async Task<AgentResponse> PIIMiddleware(IEnumerable<ChatMessage> messages, AgentSession? session, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
{
// Redact PII information from input messages
var filteredMessages = FilterMessages(messages);
Console.WriteLine("Pii Middleware - Filtered Messages Pre-Run");
var response = await innerAgent.RunAsync(filteredMessages, thread, options, cancellationToken).ConfigureAwait(false);
var response = await innerAgent.RunAsync(filteredMessages, session, options, cancellationToken).ConfigureAwait(false);
// Redact PII information from output messages
response.Messages = FilterMessages(response.Messages);
@@ -152,7 +152,7 @@ async Task<AgentResponse> PIIMiddleware(IEnumerable<ChatMessage> messages, Agent
}
// This middleware enforces guardrails by redacting certain keywords from input and output messages.
async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages, AgentThread? thread, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages, AgentSession? session, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
{
// Redact keywords from input messages
var filteredMessages = FilterMessages(messages);
@@ -160,7 +160,7 @@ async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages,
Console.WriteLine("Guardrail Middleware - Filtered messages Pre-Run");
// Proceed with the agent run
var response = await innerAgent.RunAsync(filteredMessages, thread, options, cancellationToken);
var response = await innerAgent.RunAsync(filteredMessages, session, options, cancellationToken);
// Redact keywords from output messages
response.Messages = FilterMessages(response.Messages);
@@ -189,9 +189,9 @@ async Task<AgentResponse> GuardrailMiddleware(IEnumerable<ChatMessage> messages,
}
// This middleware handles Human in the loop console interaction for any user approval required during function calling.
async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMessage> messages, AgentThread? thread, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMessage> messages, AgentSession? session, AgentRunOptions? options, AIAgent innerAgent, CancellationToken cancellationToken)
{
AgentResponse response = await innerAgent.RunAsync(messages, thread, options, cancellationToken);
AgentResponse response = await innerAgent.RunAsync(messages, session, options, cancellationToken);
List<UserInputRequestContent> userInputRequests = response.UserInputRequests.ToList();
@@ -211,7 +211,7 @@ async Task<AgentResponse> ConsolePromptingApprovalMiddleware(IEnumerable<ChatMes
})
.ToList();
response = await innerAgent.RunAsync(response.Messages, thread, options, cancellationToken);
response = await innerAgent.RunAsync(response.Messages, session, options, cancellationToken);
userInputRequests = response.UserInputRequests.ToList();
}
@@ -42,8 +42,8 @@ AIAgent agent = await aiProjectClient.CreateAIAgentAsync(
services: serviceProvider);
// Invoke the agent and output the text result.
AgentThread thread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("Tell me current time and weather in Seattle.", thread));
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("Tell me current time and weather in Seattle.", session));
// Cleanup by agent name removes the agent version created.
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
@@ -83,7 +83,7 @@ internal sealed class Program
AllowBackgroundResponses = true,
};
AgentThread thread = await agent.GetNewThreadAsync();
AgentSession session = await agent.GetNewSessionAsync();
ChatMessage message = new(ChatRole.User, [
new TextContent("I need you to help me search for 'OpenAI news'. Please type 'OpenAI news' and submit the search. Once you see search results, the task is complete."),
@@ -93,7 +93,7 @@ internal sealed class Program
// Initial request with screenshot - start with Bing search page
Console.WriteLine("Starting computer automation session (initial screenshot: cua_browser_search.png)...");
AgentResponse response = await agent.RunAsync(message, thread: thread, options: runOptions);
AgentResponse response = await agent.RunAsync(message, session: session, options: runOptions);
// Main interaction loop
const int MaxIterations = 10;
@@ -113,7 +113,7 @@ internal sealed class Program
// Continue with the token.
runOptions.ContinuationToken = token;
response = await agent.RunAsync(thread, runOptions);
response = await agent.RunAsync(session, runOptions);
}
Console.WriteLine($"Agent response received (ID: {response.ResponseId})");
@@ -168,7 +168,7 @@ internal sealed class Program
// Follow-up message with action result and new screenshot
message = new(ChatRole.User, [content]);
response = await agent.RunAsync(message, thread: thread, options: runOptions);
response = await agent.RunAsync(message, session: session, options: runOptions);
}
}
}
@@ -42,8 +42,8 @@ AIAgent agent = await persistentAgentsClient.CreateAIAgentAsync(
});
// You can then invoke the agent like any other AIAgent.
AgentThread thread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", thread));
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", session));
// Cleanup for sample purposes.
await persistentAgentsClient.Administration.DeleteAgentAsync(agent.Id);
@@ -75,8 +75,8 @@ AIAgent agentWithRequiredApproval = await persistentAgentsClient.CreateAIAgentAs
});
// You can then invoke the agent like any other AIAgent.
var threadWithRequiredApproval = await agentWithRequiredApproval.GetNewThreadAsync();
var response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", threadWithRequiredApproval);
var sessionWithRequiredApproval = await agentWithRequiredApproval.GetNewSessionAsync();
var response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", sessionWithRequiredApproval);
var userInputRequests = response.UserInputRequests.ToList();
while (userInputRequests.Count > 0)
@@ -98,7 +98,7 @@ while (userInputRequests.Count > 0)
.ToList();
// Pass the user input responses back to the agent for further processing.
response = await agentWithRequiredApproval.RunAsync(userInputResponses, threadWithRequiredApproval);
response = await agentWithRequiredApproval.RunAsync(userInputResponses, sessionWithRequiredApproval);
userInputRequests = response.UserInputRequests.ToList();
}
@@ -37,8 +37,8 @@ AIAgent agent = new AzureOpenAIClient(
tools: [mcpTool]);
// You can then invoke the agent like any other AIAgent.
AgentThread thread = await agent.GetNewThreadAsync();
Console.WriteLine(await agent.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", thread));
AgentSession session = await agent.GetNewSessionAsync();
Console.WriteLine(await agent.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", session));
// **** MCP Tool with Approval Required ****
// *****************************************
@@ -64,8 +64,8 @@ AIAgent agentWithRequiredApproval = new AzureOpenAIClient(
tools: [mcpToolWithApproval]);
// You can then invoke the agent like any other AIAgent.
var threadWithRequiredApproval = await agentWithRequiredApproval.GetNewThreadAsync();
var response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", threadWithRequiredApproval);
var sessionWithRequiredApproval = await agentWithRequiredApproval.GetNewSessionAsync();
var response = await agentWithRequiredApproval.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", sessionWithRequiredApproval);
var userInputRequests = response.UserInputRequests.ToList();
while (userInputRequests.Count > 0)
@@ -87,7 +87,7 @@ while (userInputRequests.Count > 0)
.ToList();
// Pass the user input responses back to the agent for further processing.
response = await agentWithRequiredApproval.RunAsync(userInputResponses, threadWithRequiredApproval);
response = await agentWithRequiredApproval.RunAsync(userInputResponses, sessionWithRequiredApproval);
userInputRequests = response.UserInputRequests.ToList();
}
@@ -109,7 +109,7 @@ internal sealed class SloganGeneratedEvent(SloganResult sloganResult) : Workflow
internal sealed class SloganWriterExecutor : Executor
{
private readonly AIAgent _agent;
private AgentThread? _thread;
private AgentSession? _session;
/// <summary>
/// Initializes a new instance of the <see cref="SloganWriterExecutor"/> class.
@@ -136,9 +136,9 @@ internal sealed class SloganWriterExecutor : Executor
public async ValueTask<SloganResult> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
this._thread ??= await this._agent.GetNewThreadAsync(cancellationToken);
this._session ??= await this._agent.GetNewSessionAsync(cancellationToken);
var result = await this._agent.RunAsync(message, this._thread, cancellationToken: cancellationToken);
var result = await this._agent.RunAsync(message, this._session, cancellationToken: cancellationToken);
var sloganResult = JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");
@@ -157,7 +157,7 @@ internal sealed class SloganWriterExecutor : Executor
Please use this feedback to improve your slogan.
""";
var result = await this._agent.RunAsync(feedbackMessage, this._thread, cancellationToken: cancellationToken);
var result = await this._agent.RunAsync(feedbackMessage, this._session, cancellationToken: cancellationToken);
var sloganResult = JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");
await context.AddEventAsync(new SloganGeneratedEvent(sloganResult), cancellationToken);
@@ -180,7 +180,7 @@ internal sealed class FeedbackEvent(FeedbackResult feedbackResult) : WorkflowEve
internal sealed class FeedbackExecutor : Executor<SloganResult>
{
private readonly AIAgent _agent;
private AgentThread? _thread;
private AgentSession? _session;
public int MinimumRating { get; init; } = 8;
@@ -209,7 +209,7 @@ internal sealed class FeedbackExecutor : Executor<SloganResult>
public override async ValueTask HandleAsync(SloganResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
this._thread ??= await this._agent.GetNewThreadAsync(cancellationToken);
this._session ??= await this._agent.GetNewSessionAsync(cancellationToken);
var sloganMessage = $"""
Here is a slogan for the task '{message.Task}':
@@ -217,7 +217,7 @@ internal sealed class FeedbackExecutor : Executor<SloganResult>
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 response = await this._agent.RunAsync(sloganMessage, this._session, cancellationToken: cancellationToken);
var feedback = JsonSerializer.Deserialize<FeedbackResult>(response.Text) ?? throw new InvalidOperationException("Failed to deserialize feedback.");
await context.AddEventAsync(new FeedbackEvent(feedback), cancellationToken);
@@ -0,0 +1,47 @@
// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
namespace WorkflowGroupChatToolApprovalSample;
/// <summary>
/// Custom GroupChatManager that selects the next speaker based on the conversation flow.
/// </summary>
/// <remarks>
/// This simple selector follows a predefined flow:
/// 1. QA Engineer runs tests
/// 2. DevOps Engineer checks staging and creates rollback plan
/// 3. DevOps Engineer deploys to production (triggers approval)
/// </remarks>
internal sealed class DeploymentGroupChatManager : GroupChatManager
{
private readonly IReadOnlyList<AIAgent> _agents;
public DeploymentGroupChatManager(IReadOnlyList<AIAgent> agents)
{
this._agents = agents;
}
protected override ValueTask<AIAgent> SelectNextAgentAsync(
IReadOnlyList<ChatMessage> history,
CancellationToken cancellationToken = default)
{
if (history.Count == 0)
{
throw new InvalidOperationException("Conversation is empty; cannot select next speaker.");
}
// First speaker after initial user message
if (this.IterationCount == 0)
{
AIAgent qaAgent = this._agents.First(a => a.Name == "QAEngineer");
return new ValueTask<AIAgent>(qaAgent);
}
// Subsequent speakers are DevOps Engineer
AIAgent devopsAgent = this._agents.First(a => a.Name == "DevOpsEngineer");
return new ValueTask<AIAgent>(devopsAgent);
}
}

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