* Python: DevUI - Internal Refactor, Conversations API support, and performance improvements
Comprehensive refactor of DevUI package including samples relocation,
frontend reorganization, OpenAI Conversations API support, and critical
performance and code quality improvements.
Key Changes:
Architecture & Organization
- Moved DevUI samples to python/samples/getting_started/devui/
- Consolidated with other framework samples for better discoverability
- Added .env.example files and comprehensive README
- Restructured frontend components into feature-based folders (agent, workflow, gallery, layout)
- Created new OpenAI-compliant message renderers (devui should render oai responses types primarily)
New Features
- Added _conversations.py (467 lines) - Full conversation storage abstraction, replaces the /threads endpoint to better match oai conversations api
- Implements OpenAI Conversations API for thread management, Supports in-memory and extensible storage backends
API Simplification
- Use 'model' field as entity_id (agent/workflow name) instead of extra_body
- Use standard OpenAI 'conversation' field for conversation context.
Performance & Quality Improvements
- Improved context management in MessageMapper with bounded memory (~500KB max)
- Implemented hybrid LRU + cleanup approach to prevent unbounded memory growth
- General QOL improvement - Eliminated ~150 lines of dead/duplicate code, Consolidated helper functions into _utils.py, Extracted magic numbers to module-level constants, Optimized conversation item lookups with index-based approach
Testing
- Added test_conversations.py (13 tests)
- Added test_performance_fixes.py (9 tests)
- Updated existing tests for code consolidation
- 53 tests passing
Impact: 76 files changed: +4,106 insertions, -2,373 deletions
All linting and formatting checks passing. No breaking changes - backward compatible.
Migration: Samples moved to python/samples/getting_started/devui/
* readme lint fixes
* initial support for function approval and minor ui fixes
* 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>