* Magentic checkpoint wip
* Magentic checkpoint updates
* Support checkpointing for magentic orchestration.
* Checkpointing for sub-workflows
* Use _execute_contexts instead of _pending_requests
* Remove unnecessary type ignores
* Support checkpoints for other orchestrations, refactor some code.
* Regenerate uv.lock
* Rename AI Agent packages to use Microsoft.Agents.AI
* Fix for build
* Fix formatting
* Fix formatting
* Ignore in VSTHRD200 in migration samples
* Ignore in VSTHRD200 in migration samples
* Add some missing projects and run format
* Fix build errors
* Address code review feedback
* Fix merge issues
---------
Co-authored-by: Mark Wallace <markwallace@microsoft.com>
* Further observability cleanup and update telemetry samples
* Add VS Code Extension config
* Fix unit tests
* Fix unit tests
* Add more comments
* Remove live metric
* removed intercepts_request and simplified how interception is handled
* parameterize SubWorkflowRequestInfo
* revert back the field rename of RequestResponse
* remove duplicate tests
* ignore type error
* remove SubWorkflowResponse
* Remove SubWorkflowRequestInfo and update RequestInfoMessage with source_executor_id for correlation
* feat: Make Executor id field mandatory
When checkpointing is involved, it is critical to keep executor ids consistent between runs, even when recreating a new object tree for the workflow.
The default id-setting mechanism generated a guid for part of the id, making it not work when restoring from a checkpoint.
This change prevents this situation from arising.
* feat: Enable running untyped Workflows
With the change to enable delay-instantiation of executors and support for async Executor factory methods, we must instantiate the starting executor to know what are the valid input types for the workflow.
To avoid forcing instantiation every time, and to better support workflows with multiple input types, we enable support for build and interacting with the base Workflow type without type annotations, and remove the requirement to know a valid input type when initiating a run.
* feat: Support Output from any executor and multiple outputs.
* Add AgentWorkflowBuilder group chat
And fix a variety of issues along the way:
- Use DateTime{Offset}.UtcNow rather than Now
- AIAgentHostExecutor shouldn't be publishing empty messages
- Sequential workflows should be flowing all history and not just the output from the previous agent as the input into the next agent
- Renamed some of the new agent workflow methods... still not super happy with the shape, though
- Simplified handoffs builder, e.g. using a hashset with a custom comparer instead of a dictionary
- Improved multi-service use by trying to change assistant->user role for messages created by other agents
- Changed MessageMerger to rely on M.E.AI's coalescing more and to avoid empty contents / text
- Ensured that messages from ChatClientAgent include MessageId and CreatedAt timestamps
- Avoided including instructions for agents in a handoff workflow that don't have any handoffs
- Removed the unnecessary end function in handoffs
- Improved naming of executors to include agent name for debuggability
- Use "N" formatting with Guid.ToString everywhere, to avoid the unnecessary extra dash character which is also not valid in various places (like function tool names)
- Replace `params T[]` with `params IEnumerable<T>` to make public APIs more flexible in what they consume
* Address feedback
- Fix unintentional provider change in sample
* Add GetService for AIContextProviders and ChatMessageStore
* Change styling and fix format issues
* Update sample code to allow for missing memory component.
* Improve type utils
* Add sample
* Add Union
* Add more test cases
* Add more test cases
* Fix RequestResponse typing to only coerce mapping original_request
---------
Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
* Subclass AgentThread so that different agents have their own threads with their own typed settings.
* Address PR comment.
* Add unit tests for base abstract threads
* Fix style warning
* Fix stlying
* FIx and suppress warnings as needed.
* Remove covariant thread response types and fix some styling.
* Remove unecessary json property name attributes and make OrchestratingAgentThread private
* Fix break from merge from main.
* Fix formatting
* Fix deserialization bug in Memory sample
* Remove thread deletion from basic samples.
* Remove public constructors for thread subclasses and add more factory methods to concrete agent types.
* Update AgentProxy thread constructors to be internal as well.
* Revert AgentProxyThread to internal
* Change AIContextProvider to internal set
* Change conversation id and message store properties to internal set
* Update styling.
* Seal various thread types.
* Add thread type check for thread deletion
* Fix tests after latest merge from main
* Add thread type checks for thread deletion.
---------
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
* update to packaging section
* added options
* clarification and typo
* updated python packaging guidance, moved discussion to appendix
* moved discussion into ADR
* updated folder strcutre
Eduard van Valkenburg
·
2025-09-23 06:37:35 +00:00
* Setting up
* Readme
* Add redis tests path to all-tests
* First pass integration
* Keep provider convention
* First pass integration
* add redis integration tests
* update README.md
* Add basic sample for redis integration
* Add partitioning, add partition-aware tests, improve sample script
* Fix code quality check
* Try to resolve pytest check
* Try to identify if pytest is the cause of failed checks
* Re-enable tests
* Rename redis test file
* Removing some tests to narrow down issue
* Revert, no difference
* Delete temp files
* Starting refactor of RedisProvider
* Build dynamic schema builder, still need to do dynamic embedding model config
* Add scope control
* Complete first pass functionality with OpenAI + HF vectors -> Tests, Samples, Demo to follow
* Fix code quality
* attempt to identify rootcause of failed test
* attempt to identify rootcause of failed test
* Attempt to resolve code quality fail
* Update pyproject.toml for foundry to pin azure-ai-projects == 1.1.0b3,azure-ai-agents == 1.2.0b3
* Add tests for redisprovider
* Remove invalid tests
* Add API key handling for openai vectorizer
* Update uv.locl
* Use master uv.lock
* Begin sample file, add lazy index creation, fix faulty override
* Index drop and reinit depends on drop_redis_index not overwrite
* Add samples, threading included, escaped queries, verify threading works, sample README.md
* Refactor filters
* Opinionated vars
* Allow filter expression combination
* Try inline stubs for mypy
* Address mypy errors
* Better docstrings, tweaks for feedback
* Tweak example 3 in redis_threads.py sample
* adjust confusing name
* Enrich docstrings
* Add descriptions and comments to samples, externalize vectorizer choice, remove nltk and sentencetransformers dependnecy
* Add descriptions and comments to samples, externalize vectorizer choice, remove nltk and sentencetransformers dependnecy
* Incorporate initial feedback from dmytrostruk
* Fix uv.lock
* Attempt to resolve conflict
* Use remote .tomls
* Sanity check
* fix tests
* Remove hardcoded API key from samples
* Fix incorrect env var
* Make add and redis_search private
* Fix tests relying on private funcs
* Expand tests
* Explainer comments to each test
* Add a 'get_conversation_history' function to RedisProvider - This just returns messages in sequential order. Added 'created_at_*' timestamps to facilitate sequential recovery. function has to be manually invoked by user
* Add agent-framework-redis to python/pyproject.toml
* Remove get_conversation_history
* improve redis context provider with pydantic techniques and safe index handling patterns
* add RedisChatMessageStore
* remove integration test :(
* fix mypy error
* Remove unused params
* Redo schema validation to be order-invariant, handle attrs (previously throwing errors due to strict ==)
* Expand explanation
* Add ChatMessageStore example
* Fix comments in redis_conversation.py
* Resolving uv.lock conflict, update to match main
* Fix test in redis provider
* Apply suggestion from @ekzhu
* Update python/packages/main/pyproject.toml
---------
Co-authored-by: Tyler Hutcherson <tyler.hutcherson@redis.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
* Fix options_dict handling in response client
* Update python/packages/main/agent_framework/openai/_responses_client.py
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Update condition for storing chat options
Fixes issue where, when using server-side threads, AF would pass back the function call message due to store being in chat_options in kwargs, not at the kwargs level. Means the appending of only the tool execution result never happens.
Resulted in a "tool output not found error" as we replied with the call not the result first.
* Refactor chat_options access for clarity
* Refactor store option assignment in responses client
* Small fixes
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
* Initial middleware implementation
* Small fixes
* Small updates
* Small updates in samples
* Moved middleware functionality to decorator
* Removed obsolete file
* Renamed AgentInvocationContext to AzureRunContext
* Added unit tests
* Small settings update for test discovery in VS Code
* Added unit tests
* Reverted changes in environment settings
* Added context result override
* Renaming and updates to logic
* Added more samples
* Updated DEV_SETUP.md
* Addressed PR feedback
* Addressed PR feedback
* Removed unused parameter
* Small fix
* Small fix in telemetry logic
* Revert "Small fix in telemetry logic"
This reverts commit 6f82660d2d.
* Small fix
---------
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>