* Update readme.md sample to show sample parameter values and make azure sdk pre-release
* Add clarifying comment about params.
* Switch sample to use the OpenAI SDK
* Add mapping for application media type in OpenAI responses client
* Enhance multimodal input samples: Add PDF testing functionality and fix image sample
* Standardize filename handling and add multimodal samples
- Standardized filename extraction logic between chat and responses clients
- Both clients now omit filename when not provided (no default fallback)
- Added Azure Responses API multimodal sample with PDF support
- Cleaned up Azure Chat sample to focus on supported features only
- Fixed test comment placement for better code documentation
- Updated README with clear API capability differences
* Enhance multimodal input samples with image and PDF handling
- Refactor image and PDF handling in `azure_chat_multimodal.py` and `openai_chat_multimodal.py` to use new utility functions.
- Add `load_sample_pdf` and `create_sample_image` functions for better test asset management.
- Remove redundant code for creating sample images and PDFs.
- Introduce a sample PDF file in `sample_assets` for testing purposes.
* Fix formatting in OpenAI chat client
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Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
* refactor AgentExecutor, add output_response flag for switching on or off workflow output for each agent.
* introduce add_agent
* make default agent's streaming to false
* address comments
* fix test
* add is_streaming to RunnerContext and WorkflowContext
* fix add_agent return
* fix tests
* address comments
* resolve conflict
* update to address comments
* fix
* improve structured output for chat client agent
* add comment to the result property
* remove code duplication and add tests
* refactor the CreateAIAgent extension methods to return specific types, so consumers can avoid unnecessary downcasting.
* fix type and remove unused using.
* add ChatClientAgentRunResponse and move AgentRunResponse to the abstractions package to reuse later.
* seal ChatClientAgentRunResponse
* update xml comment
* remove funcitons from sample
* rename agent for streaming
* Fix bug where ChatClientAgent throws when providing a ChatMessageStore with a service that requries service storage
* Update dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* added a sample on integration of Azure OpenAI Responses Client with hosted Model Context Protocol (MCP)
* added additional comments mentioning that the Microsoft Learn MCP server can be replaced by any other desired MCP server
* corrected the MCP server type to local
* added a newline at the end
* Update python/samples/getting_started/agents/azure_openai/azure_responses_client_with_local_mcp.py
Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
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Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
* Updates to async run loop.
* fix: Workflow Onwership can be release by nonowner
* fix: Incorrect handling of blockOnPending in StreamingRun
Depending on whether we are running in streaming on non-streaming mode, we may be using the StreamingRun in different ways. Unfortunately, the only place we can really know what is the actual state of execution is in the RunEventStream implementations.
This resulted in blocking where blocking was unneeded and occasionally not-blocking when blocking was needed.
The fix is to move the logic of handling this blocking into RunEventStream implementations.
* fix: Fix cleanup on error and end run
This ensures we clean up the background resources correctly.
* fix: Ensure we let the run loop proceed when shutting down
* fix: Add timeout for Input Waiting
* fix: Make the samples properly clean up `Run`s and `StreamingRun`s
* fix: Simplify Declarative Workflow Run disposal pattern
* Also fixes missing .Disposal() in Integration tests
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Co-authored-by: Ben Thomas <ben.thomas@microsoft.com>
Capitalize instruction and relax assertion to accept any non-empty response instead of requiring exact text match. Fixes flaky test failures with reasoning models.
* Add dev containers
* Add workspace folder and cs dev extension
* Try other workspace folder format
* Add default solution.
* Move default solution to settings.json
* Fix repo open
* Remove duplicate python codespace and rename folder
* Add recommended C# extensions and a default build task
* Add vscode icons extension by default
* Add python setup and customizations, plus ai studio for all
* Add bash command
* Try running devsetup from workspace folder
* Remove echo and cd
* Change workspace mount
* Change dotnet workspace name
* Revert workspacemount addition
* Try workspace mount to root
* remove trailing slash
* Try workspacefolder with var
* Revert to original approach
* Modify dev containers to work in main repo.
* Remove trailing comma
* Apply suggestion from @Copilot
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Add optional name and description fields to workflows in both Python and .NET implementations, matching the existing agent API pattern.
Python changes:
- Add name/description parameters to WorkflowBuilder.__init__
- Add name/description attributes to Workflow class
- Include name/description in to_dict() serialization
- Add WORKFLOW_NAME and WORKFLOW_DESCRIPTION OTEL attributes
- Add tests in test_serialization.py and test_workflow_observability.py
.NET changes:
- Add Name and Description properties to Workflow and Workflow<T>
- Add WithName() and WithDescription() fluent methods to WorkflowBuilder
- Add WorkflowName and WorkflowDescription OTEL tags
- Add test in WorkflowBuilderSmokeTests.cs
This enables applications like DevUI to display human-readable workflow names (e.g., 'Data Processing Pipeline') instead of auto-generated UUIDs (e.g., 'Workflow 50fdd917').
Fixes: #1181