732 Commits

• [BREAKING] Python: fix OpenAI Azure routing and provider samples (#4925)

  * Python: fix OpenAI Azure routing and provider samples
  
  Prefer OpenAI when OPENAI_API_KEY is present unless Azure is explicitly requested. Clarify constructor docs, keep deprecated Azure wrappers compatible with stricter settings validation, and refresh the provider samples and tests to use the current client patterns.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * fix bandit
  
  * Python: align OpenAI embedding Azure routing
  
  Extend the shared OpenAI-vs-Azure routing and credential behavior to the embedding client, add Azure embedding regression coverage, and refresh the embedding samples to use the generic client path.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: fix embedding client pyright check
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: thin OpenAI embedding wrapper
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: document embedding overload routing
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: fix callable OpenAI key routing
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: fix Azure credential routing tests
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: address OpenAI review feedback
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: narrow Azure routing markers
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: refine OpenAI model fallback order
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: narrow Azure deployment docs
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: remove embedding routing wording
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: run embedding Azure integration tests
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * changed variable name
  
  * Python: expand OpenAI package README
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * clarified readme
  
  * Python: fix Azure OpenAI integration setup
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: correct Azure integration env mapping
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * updated code to fix int tests
  
  * test updates
  
  * test fix
  
  * fix test setup
  
  * updates to tests and setup
  
  * remove openai assistants int tests
  
  * improvements in int tests
  
  * fix env var
  
  * fix env vars
  
  * fix azure responses test
  
  * trigger actions
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-27 13:33:39 +00:00
  cc0cfaaac8
• Bump flatted from 3.3.3 to 3.4.2 in /python/packages/devui/frontend (#4805)

  Bumps [flatted](https://github.com/WebReflection/flatted) from 3.3.3 to 3.4.2.
  - [Commits](https://github.com/WebReflection/flatted/compare/v3.3.3...v3.4.2)
  
  ---
  updated-dependencies:
  - dependency-name: flatted
    dependency-version: 3.4.2
    dependency-type: indirect
  ...
  
  Signed-off-by: dependabot[bot] <support@github.com>
  Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

  dependabot[bot] · 2026-03-27 03:43:25 +00:00
  3611be82cf
• Python: Support structuredContent in MCP tool results and fix sampling options type (#4763)

  * Support MCP sampling tools capability (#4625)
  
  Forward systemPrompt, tools, and toolChoice from MCP sampling requests
  to the chat client's get_response() call. Also advertise the
  sampling.tools capability to MCP servers when a client is configured.
  
  - Pass SamplingCapability with tools support to ClientSession
  - Convert systemPrompt to instructions in options
  - Convert MCP Tool objects to FunctionTool instances for options
  - Map MCP ToolChoice.mode to tool_choice in options
  - Add tests for all new behaviors and update existing sampling tests
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix #4625: Support MCP sampling tool with proper typing and structured content
  
  - Fix mypy error by typing sampling callback options as ChatOptions[None]
    instead of dict[str, Any], and importing ChatOptions from _types
  - Handle structuredContent from CallToolResult in _parse_tool_result_from_mcp,
    serializing it as JSON text Content when present
  - Add tests for structuredContent parsing (with and without regular content)
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix lint: add author to TODO comment
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback for #4625: remove default=str, add edge-case tests
  
  - Remove default=str from json.dumps for structuredContent to fail fast
    on non-JSON-serializable values instead of silently converting
  - Add test for non-JSON-serializable structuredContent (TypeError)
  - Add tests for empty systemPrompt ('') and empty tools list ([]) edge
    cases in sampling callback
  - Expand TODO comment noting list[Content] return type constraint for
    future result_type support
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Sanitize sampling callback error to avoid leaking internals (#4625)
  
  Log exception details at DEBUG level instead of including them in the
  ErrorData message returned to the MCP server, which may be untrusted.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback for #4625: move params to options, restore error info
  
  - Remove stale TODO comment about response_format (ChatOptions already has it)
  - Restore {ex} in sampling callback error message for useful debugging info
  - Set structuredContent as additional_property on Content for structured access
  - Move temperature, max_tokens, stop into options dict (not top-level kwargs)
  - Only set temperature when provided (not all models support it)
  - Add tests for generation params in options and temperature omission
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix MCP sampling callback and structured content error handling (#4625)
  
  - Guard max_tokens like temperature: only set when not None, so options
    can properly evaluate to None when all params are absent
  - Wrap json.dumps of structuredContent in try/except to fall back to
    str() for non-serializable values instead of propagating TypeError
  - Extract test_connect_sampling_capabilities_with_client into its own
    test function so pytest can discover it independently
  - Add test for max_tokens=None omission from options
  - Update structured content non-serializable test to expect fallback
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback for #4625: review comment fixes
  
  * Fix MCP and Azure validation regressions
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-26 07:33:19 +00:00
  efb14cedb1
• Python: Include reasoning messages in MESSAGES_SNAPSHOT events (#4844)

  * Include reasoning messages in MESSAGES_SNAPSHOT (#4843)
  
  FlowState now tracks reasoning messages emitted during a run.
  _emit_text_reasoning() persists reasoning (including encrypted_value)
  into flow.reasoning_messages, and _build_messages_snapshot() appends
  them to the final MESSAGES_SNAPSHOT event.
  
  Changes:
  - Add reasoning_messages field to FlowState
  - Update _emit_text_reasoning() to accept optional flow parameter
  - Include reasoning_messages in _build_messages_snapshot()
  - Add 'reasoning' to ALLOWED_AGUI_ROLES so normalize_agui_role()
    preserves the role through snapshot round-trips
  - Skip reasoning messages in agui_messages_to_agent_framework() since
    they are UI-only state and should not be forwarded to LLM providers
  - Add regression tests for snapshot emission, encrypted value
    preservation, and multi-turn round-trip with reasoning
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: Include reasoning messages in MESSAGES_SNAPSHOT events
  
  Fixes #4843
  
  * Fix PR review feedback for reasoning persistence (#4843)
  
  - Accumulate reasoning text per message_id (append deltas) instead of
    storing only the current chunk, matching flow.accumulated_text pattern
  - Use camelCase encryptedValue in snapshot JSON to match AG-UI protocol
    conventions (toolCallId, encryptedValue)
  - Normalize snake_case encrypted_value to encryptedValue in
    agui_messages_to_snapshot_format for input compatibility
  - Update normalize_agui_role docstring to include reasoning role
  - Add tests for incremental reasoning accumulation and key normalization
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback for #4843: Python: agent-framework-ag-ui: include reasoning messages in MESSAGES_SNAPSHOT
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-26 05:56:10 +00:00
  dd3d085539
• Python: Fix streaming path to emit mcp_server_tool_result on output_item.done instead of output_item.added (#4821)

  * Fix streaming path to deliver mcp_server_tool_result content (#4814)
  
  Remove premature mcp_server_tool_result emission from the
  response.output_item.added/mcp_call handler — at that point the MCP
  server has not yet responded and output is always None.
  
  Add a handler for response.mcp_call.completed that emits
  mcp_server_tool_result with the actual tool output, matching the
  non-streaming path behavior.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix streaming path to deliver mcp_server_tool_result content (#4814)
  
  Stop eagerly emitting mcp_server_tool_result on response.output_item.added
  (when output is always None). Instead, handle response.output_item.done for
  mcp_call items, which carries the full McpCall with populated output.
  
  This matches the non-streaming path which guards with 'if item.output is not
  None' before emitting the result.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix test docstring to match actual implementation event name
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review: call_id fallback and raw_representation consistency (#4814)
  
  - Add call_id fallback in response.output_item.done mcp_call handler to
    match the output_item.added handler pattern
  - Use done_item instead of event for raw_representation to keep
    consistent with other output_item branches and non-streaming path
  - Add test for call_id fallback when id attribute is missing
  - Add raw_representation assertions to existing done handler tests
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review: call_id fallback for non-streaming path and test coverage (#4814)
  
  - Apply defensive call_id fallback (getattr with id/call_id/empty) to
    non-streaming mcp_call path for consistency with streaming path
  - Add raw_representation assertion to call_id fallback test
  - Add test for empty-string fallback when neither id nor call_id exist
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Giles Odigwe · 2026-03-26 02:09:22 +00:00
  dc27740f1a
• Python: Fix A2AAgent to surface message content from in-progress TaskStatusUpdateEvents (#4798)

  * Fix A2AAgent dropping message content from in-progress TaskStatusUpdateEvents (#4783)
  
  _updates_from_task() returned [] for working-state tasks when
  background=False, silently discarding all intermediate message content
  from task.status.message. Now extracts and yields message parts from
  in-progress status updates during streaming.
  
  Also fixed MockA2AClient.send_message to yield all queued responses
  (enabling multi-event streaming tests) and added text parameter to
  add_in_progress_task_response for tests that need status messages.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix: gate intermediate status updates behind emit_intermediate flag and add missing test coverage
  
  - Add emit_intermediate parameter to _updates_from_task and _map_a2a_stream
  - Thread stream flag from run() so only streaming callers see intermediate updates
  - Add IN_PROGRESS_TASK_STATES guard to emit_intermediate condition
  - Add role parameter to test helper add_in_progress_task_response
  - Add clarifying comment on MockA2AClient.send_message batch semantics
  - Add tests for user role mapping, background precedence, non-streaming behavior,
    terminal task with no artifacts, and empty parts edge case
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Giles Odigwe · 2026-03-26 02:08:47 +00:00
  c1435ac201
• Python: [BREAKING] Reduce core dependencies and simplify optional integrations (#4904)

  * improved dependencies and some fixes
  
  * fix for mypy
  
  * improve mcp

  Eduard van Valkenburg · 2026-03-25 18:03:43 +00:00
  c012aac5f2
• Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)

  * Python: Provider-leading client design & OpenAI package extraction
  
  Major refactoring of the Python Agent Framework client architecture:
  
  - Extract OpenAI clients into new `agent-framework-openai` package
  - Core package no longer depends on openai, azure-identity, azure-ai-projects
  - Rename clients for discoverability: OpenAIResponsesClient → OpenAIChatClient,
    OpenAIChatClient → OpenAIChatCompletionClient
  - Unify `model_id`/`deployment_name`/`model_deployment_name` → `model` param
  - New FoundryChatClient for Azure AI Foundry Responses API
  - New FoundryAgent/FoundryAgentClient for connecting to pre-configured Foundry agents
  - Remove OpenAIBase/OpenAIConfigMixin from non-deprecated client MRO
  - Deprecate AzureOpenAI* clients, AzureAIClient, OpenAIAssistantsClient
  - Reorganize samples: azure_openai+azure_ai+azure_ai_agent → azure/
  - ADR-0020: Provider-Leading Client Design
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * fix: missing Agent imports in samples, .model_id → .model in foundry_local sample
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * fix: CI failures — mypy errors, coverage targets, sample imports
  
  - azure-ai mypy: add type ignores for TypedDict total=, model arg, forward ref
  - Coverage: replace core.azure/openai targets with openai package target
  - project_provider: add type annotation for opts dict
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * fix: populate openai .pyi stub, fix broken README links, coverage targets
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * fixes
  
  * updated observabilitty
  
  * reset azure init.pyi
  
  * fix errors
  
  * updated adr number
  
  * fix foundry local
  
  * fixed not renamed docstrings and comments, and added deprecated markers to old classes
  
  * fix tests and pyprojects
  
  * fix test vars
  
  * updated function tests
  
  * update durable
  
  * updated test setup for functions
  
  * Fix Foundry auth in workflow samples
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Stabilize Python integration workflows
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Update hosting samples for Foundry
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Trigger full CI rerun
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Trigger CI rerun again
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * trigger rerun
  
  * trigger rerun
  
  * fix for litellm
  
  * undo durabletask changes
  
  * Move Foundry APIs into foundry namespace
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix Foundry pyproject formatting
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Split provider samples by Foundry surface
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Restore hosting sample requirements
  
  Also fix the Foundry Local sample link after the provider sample move.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * updated tests
  
  * udpated foundry integration tests
  
  * removed dist from azurefunctions tests
  
  * Use separate Foundry clients for concurrent agents
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * fix client setup in azfunc and durable
  
  * disabled two tests
  
  * updated setup for some function and durable tests
  
  * improved azure openai setup with new clients
  
  * ignore deprecated
  
  * fixes
  
  * skip 11
  
  * remove openai assistants int tests
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-25 09:56:29 +00:00
  5e056b672e
• Python: Fix PydanticSchemaGenerationError when using from __future__ import annotations with @tool (#4822)

  * Fix PydanticSchemaGenerationError with PEP 563 annotations in @tool
  
  _resolve_input_model used raw param.annotation from inspect.signature(),
  which returns string annotations when 'from __future__ import annotations'
  is active (PEP 563). This caused Pydantic's create_model to fail for
  complex types like Optional[int] or FunctionInvocationContext.
  
  Use typing.get_type_hints() to resolve annotations to actual types before
  passing them to create_model, matching the approach already used by
  _discover_injected_parameters.
  
  Fixes #4809
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Remove reproduction report and unused test imports
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * fix(tests): strengthen PEP 563 regression tests per review feedback (#4809)
  
  - Verify type correctness in schema assertions (not just key presence)
  - Fix ctx annotation to FunctionInvocationContext | None for type consistency
  - Add test for Optional[CustomType] pattern (original bug trigger)
  - Add test for get_type_hints() fallback with unresolvable forward refs
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Address review feedback for #4809: Python: [Bug]: PydanticSchemaGenerationError in FunctionInvocationContext
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Giles Odigwe · 2026-03-23 21:47:12 +00:00
  cb96347c95
• [BREAKING] Python: Add context mode to AgentExecutor (#4668)

  * Add context mode to AgentExecutor
  
  * Fix unit tests
  
  * Address comments
  
  * Address comments
  
  * REvise context mode and add tests
  
  * Add chain config to sequential builder
  
  * Add sample
  
  * Fix pipeline
  
  * Address comments
  
  * Address comments

  Tao Chen · 2026-03-20 18:27:02 +00:00
  51828abed4
• Python: avoid duplicate agent response telemetry (#4685)

  * Python: avoid duplicate agent response telemetry
  
  * Python: conditionally suppress duplicate agent telemetry
  
  * Simplify telemetry ownership tracking
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Aggregate token usage from inner chat spans on invoke_agent span
  
  The invoke_agent span now carries the aggregated input/output token
  counts from all inner chat completion spans that occur during an agent
  run. Previously, when inner ChatTelemetryLayer spans captured usage,
  the outer AgentTelemetryLayer skipped setting usage entirely to avoid
  duplication. Now a new INNER_ACCUMULATED_USAGE context variable tracks
  cumulative usage across all inner completions, and the agent span
  always reports the total.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-20 10:09:46 +00:00
  81e2336d47
• Python: Deprecate Azure AI v1 (Persistent Agents API) helper methods (#4804)

  * Deprecate Azure AI v1 (Persistent Agents API) helper methods
  
  Add DeprecationWarning to v1 classes and functions that have been
  superseded by the v2 (Projects/Responses) API:
  
  - AzureAIAgentsProvider -> use AzureAIProjectAgentProvider
  - AzureAIAgentClient -> use AzureAIClient
  - AzureAIAgentOptions -> use AzureAIProjectAgentOptions
  - to_azure_ai_agent_tools() -> use to_azure_ai_tools()
  - from_azure_ai_agent_tools() -> use from_azure_ai_tools()
  - AzureAIAgentClient static tool factory methods -> use AzureAIClient equivalents
  
  All v1 components still function but emit warnings to guide migration.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Add deprecation warnings to AzureAIAgentsProvider methods
  
  Mark create_agent(), get_agent(), and as_agent() as deprecated
  individually, pointing to AzureAIProjectAgentProvider equivalents.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Giles Odigwe · 2026-03-20 08:53:36 +00:00
  8fc19a3437
• Python: Bump Python version to 1.0.0rc5 and 1.0.0b260319 for a release. (#4807)

  * Bump Python version to 1.0.0rc5 and 1.0.0b260319 for a release.
  
  * update missed pkg versions
  
  * Update changelog

  Evan Mattson · 2026-03-20 10:35:47 +09:00
  26cd5cc1bf
• Python: Emit tool call events in GitHubCopilotAgent streaming (#4711)

  * Emit tool call events in GitHubCopilotAgent streaming
  
  _stream_updates now yields FunctionCallContent for TOOL_EXECUTION_START
  and FunctionResultContent for TOOL_EXECUTION_COMPLETE events from the
  Copilot SDK session. This enables DevUI and other consumers to display
  tool calls during streaming agent execution. Previously only ASSISTANT_MESSAGE_DELTA, SESSION_IDLE, and SESSION_ERROR
  were handled — tool execution events were silently dropped.
  
  Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
  
  * Add some tests
  
  Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
  
  * Respond to feedback
  
  Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
  
  * Fix TOOL_EXECUTION_COMPLETE to use correct SDK types
  
  - Read result text from session_events.Result.content (not ToolResult.text_result_for_llm)
  - Read failure state from event.data.success/error (not result_obj.result_type/error)
  - Handle ErrorClass.message and plain string errors
  - Update tests to use session_events.Result and ErrorClass
  - Add tests for string errors, success-with-error, and COMPLETE missing fields
  
  Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
  
  ---------
  
  Signed-off-by: James Sturtevant <jsturtevant@gmail.com>

  James Sturtevant · 2026-03-20 01:27:36 +00:00
  b4c4f5094e
• Python: [BREAKING] Refactor middleware layering and split Anthropic raw client (#4746)

  * [BREAKING] Refactor middleware layering and raw clients
  
  Reorder chat client layers so function invocation wraps chat middleware, and chat middleware stays outside telemetry while still running for each inner model call. Add middleware pipeline caching, refresh docs and samples, and split Anthropic into raw and public clients to match the standard layering model.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Tighten typing ignores in ancillary modules
  
  Add targeted typing ignores in workflow visualization and lab modules so pyright stays clean alongside the middleware refactor work.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix categorize_middleware to unpack tuple/Sequence and use relative MRO assertions
  
  - Broaden isinstance check in categorize_middleware from list to Sequence
    so tuples and other Sequence types are properly unpacked instead of
    being appended as a single item.
  - Replace fragile hardcoded MRO index assertions in anthropic test with
    relative ordering via mro.index().
  - Add regression tests for categorize_middleware with tuple, list, and
    None inputs.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix middleware string decomposition, add middleware param to FunctionInvocationLayer, and add tests (#4710)
  
  - Guard categorize_middleware Sequence check against str/bytes to prevent
    character-by-character decomposition of accidentally passed strings
  - Add explicit middleware parameter to FunctionInvocationLayer.get_response
    and merge it into client_kwargs before categorization, fixing the
    inconsistency where only OpenAIChatClient supported this parameter
  - Add assertions that RawAnthropicClient does not inherit convenience layers
  - Add chat middleware cache test with non-empty base middleware
  - Add tests for single unwrapped middleware item and string input
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Apply pre-commit auto-fixes
  
  * Address review feedback for #4710: review comment fixes
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  Co-authored-by: Copilot <copilot@github.com>

  Eduard van Valkenburg · 2026-03-20 00:43:37 +00:00
  0cd40f8354
• Python: Emit TOOL_CALL_RESULT events when resuming after tool approval (#4758)

  * Emit TOOL_CALL_RESULT events on approval resume (#4589)
  
  When a tool call is approved via the interrupt/resume flow,
  _resolve_approval_responses executes the tool and injects the result
  into the messages array, but no TOOL_CALL_RESULT SSE event was yielded
  to the client.
  
  Changes:
  - _resolve_approval_responses now returns the list of resolved
    function_result Content objects instead of None
  - run_agent_stream yields ToolCallResultEvent for each resolved
    approval result after RunStartedEvent is emitted
  - Add ToolCallResultEvent to ag_ui.core imports in _agent_run.py
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * fix(ag-ui): address PR review feedback for #4589
  
  1. _resolve_approval_responses now returns only approved results (not
     rejections) so TOOL_CALL_RESULT events are emitted only for executed
     tools. Rejection results are still written into message history.
  
  2. Emit resolved TOOL_CALL_RESULT events in the no-updates fallback
     RUN_STARTED path so approval results are never lost.
  
  3. Rewrite tests to use real FunctionTool with func and
     approval_mode='always_require' via StubAgent default_options,
     verifying actual tool execution output in TOOL_CALL_RESULT content.
     Added test for rejection not emitting TOOL_CALL_RESULT.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix #4589: clean up approval resolution and add missing tests
  
  - Extract duplicated TOOL_CALL_RESULT emission block into
    _make_approval_tool_result_events helper to prevent drift
  - Remove dead rejection_results construction in _resolve_approval_responses;
    _replace_approval_contents_with_results already handles rejections inline
  - Pass only approved_results (not all_results) to clarify the contract
  - Add mixed approve/reject test validating the core splitting logic
  - Add zero-updates test covering the no-updates fallback emission path
  - Add direct unit test for _resolve_approval_responses return value
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Fix import sorting lint error in test_approval_result_event.py
  
  Add blank line between first-party and third-party import groups
  to satisfy ruff I001 rule.
  
  Fixes #4589
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-20 00:41:46 +00:00
  cefda44283
• Python: Emit AG-UI events for MCP tool calls, results, and text reasoning (#4760)

  * Python: Emit AG-UI events for MCP tool calls, results, and text reasoning
  
  Fixes #4213 — `_emit_content()` in the AG-UI layer only handled `text`,
  `function_call`, `function_result`, `function_approval_request`, `usage`,
  and `oauth_consent_request` content types. Foundry MCP content types
  (`mcp_server_tool_call`, `mcp_server_tool_result`) and `text_reasoning`
  fell through unhandled, producing no SSE events for AG-UI consumers.
  
  Added three new handler functions wired into `_emit_content()`:
  
  - `_emit_mcp_tool_call`: emits TOOL_CALL_START + TOOL_CALL_ARGS and
    tracks in FlowState for MESSAGES_SNAPSHOT inclusion
  - `_emit_mcp_tool_result`: emits TOOL_CALL_END + TOOL_CALL_RESULT with
    full FlowState cleanup mirroring `_emit_tool_result`
  - `_emit_text_reasoning`: emits the protocol-defined reasoning event
    sequence (ReasoningStart → MessageStart → MessageContent → MessageEnd
    → ReasoningEnd) with ReasoningEncryptedValueEvent for protected_data
  
  * Add HTTP round-trip tests for MCP tool and reasoning SSE events
  
  Exercises the full POST → SSE bytes → parse → validate pipeline for
  mcp_server_tool_call, mcp_server_tool_result, text_reasoning, and
  ReasoningEncryptedValueEvent content through FastAPI TestClient.
  
  * Fix _emit_mcp_tool_result missing predictive_handler support (#4213)
  
  - Add predictive_handler parameter to _emit_mcp_tool_result and mirror
    the apply_pending_updates + StateSnapshotEvent block from _emit_tool_result
  - Forward predictive_handler from _emit_content to _emit_mcp_tool_result
  - Add assertion for stored arguments in MCP tool call test
  - Add test for predictive handler state snapshot after MCP tool result
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Refactor MCP tool emit functions and add missing tests (#4213)
  
  - Extract _emit_tool_result_common shared helper to eliminate duplication
    between _emit_tool_result and _emit_mcp_tool_result
  - Remove server_name prefix from tool_call_name in _emit_mcp_tool_call;
    display_name now equals tool_name directly
  - Add test for tool_name fallback to 'mcp_tool' when tool_name is None
  - Add test for output=None fallback to empty string in _emit_mcp_tool_result
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback for #4213: review comment fixes
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-20 00:41:37 +00:00
  4afc088f01
• Python: Support detail field in OpenAI Chat API image_url payload (#4756)

  * Support detail field in OpenAI image_url payload (#4616)
  
  Include the optional 'detail' field from Content.additional_properties
  when building image_url payloads for the OpenAI Chat API, matching the
  existing pattern used for 'filename' in document file payloads.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Remove reproduction report
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Simplify detail extraction from additional_properties (#4616)
  
  - Remove unnecessary hasattr check; additional_properties is always
    initialized as a dict on Content instances.
  - Use 'is not None' instead of truthy check to be more precise.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Remove detail allowlist in chat client to align with responses client
  
  Replace the strict allowlist check ('low', 'high', 'auto') with an
  isinstance(detail, str) check so that any valid string detail value is
  passed through to OpenAI. This aligns the chat client behavior with the
  responses client, which passes detail through unconditionally.
  
  Also add test coverage for:
  - Future/unknown string detail values being passed through
  - Data URI images (covering the 'data' branch of the match)
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-20 00:33:57 +00:00
  47ead84753
• Python: Fix MCP tool schema normalization for zero-argument tools missing 'properties' key (#4771)

  * Fix zero-argument MCP tool schema missing 'properties' key (#4540)
  
  MCP servers for zero-argument tools (e.g. matlab-mcp-core-server's
  detect_matlab_toolboxes) declare inputSchema as {"type": "object"}
  without a "properties" key. OpenAI's API requires "properties" to
  be present on object schemas, causing a 400 invalid_request_error.
  
  Normalize inputSchema at MCP ingestion in load_tools() to inject an
  empty "properties": {} when it is missing from object-type schemas.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback for #4540: improve test robustness and add defensive guard
  
  - Look up loaded functions by name instead of index to avoid brittle
    ordering assumptions
  - Add negative-path test cases: non-object schema (type: string) and
    empty schema ({}) to verify guard clause skips them correctly
  - Assert original inputSchema dicts are not mutated by load_tools()
  - Add defensive guard for tool.inputSchema being None
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback for #4540: Python: [Bug]: Local stdio MCP works for calculator but fails for official matlab-mcp-core-server on LM Studio /v1/responses
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Giles Odigwe · 2026-03-19 22:13:37 +00:00
  4c287c2424
• Python: Fix A2AAgent to invoke context providers before and after run (#4757)

  * Fix A2AAgent to invoke context providers before and after run
  
  A2AAgent.run() bypassed the context provider lifecycle (before_run/after_run)
  that BaseAgent defines as a contract for all agents. This caused A2AAgent to
  violate the semantic definition of BaseAgent, resulting in inconsistency with
  other agent implementations.
  
  The fix follows the same pattern used by WorkflowAgent:
  - Create SessionContext and run before_run on all context providers before
    processing the A2A stream
  - Collect response updates and run after_run on all context providers after
    the stream is fully consumed
  - Auto-create a session when context providers are configured but no session
    is explicitly passed
  
  Fixes #4754
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Remove reproduction report from repository
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address PR review feedback for #4754
  
  - Validate messages when no continuation_token: raise ValueError if
    normalized_messages is empty, preventing IndexError on messages[-1]
  - Import BaseContextProvider/SessionContext from public agent_framework
    package instead of internal agent_framework._sessions module
  - Add test for ValueError on run(None) without continuation_token
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Improve test coverage for empty-messages guard in A2AAgent.run (#4754)
  
  - Parameterize test to cover both messages=None and messages=[] inputs
  - Add test verifying run(None, continuation_token=...) does not raise
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-19 10:45:42 +00:00
  4b21f38650
• Python: Aggregate token usage across tool-call loop iterations in invoke_agent span (#4739)

  * Fix invoke_agent span to aggregate token usage across LLM calls (#4062)
  
  The FunctionInvocationLayer._get_response() loop was overwriting the
  response on each iteration, so usage_details only reflected the last
  chat completion call. Now tracks aggregated_usage across all iterations
  using add_usage_details() and sets it on the returned response.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Remove reproduction report artifact
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Apply pre-commit auto-fixes
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-19 06:41:33 +00:00
  bf8d9672e1
• Python: Simplify Python Poe tasks and unify package selectors (#4722)

  * updated automation tasks and commands, with alias for the time being
  
  * Restore aggregate test exclusions
  
  Preserve the legacy all-tests scope for test --all by excluding lab and devui from the default aggregate sweep, while still allowing explicit package selection. Also ignore hidden/generated test directories such as .mypy_cache during aggregate discovery.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * updated versions in pre-commit
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-18 18:39:11 +00:00
  f48c4512d3
• Python: Fix ENABLE_SENSITIVE_DATA env var ignored when set after module import (#4743)

  * Python: Re-read env vars in configure_otel_providers and enable_instrumentation (#4119)
  
  Fix ENABLE_SENSITIVE_DATA and VS_CODE_EXTENSION_PORT env vars being ignored
  when load_dotenv() runs after module import. The module-level
  OBSERVABILITY_SETTINGS singleton cached env state at import time, and
  configure_otel_providers() / enable_instrumentation() never re-read from
  os.environ when parameters were None.
  
  Both functions now construct a fresh ObservabilitySettings() to pick up
  current env vars when explicit parameters are not provided, matching the
  existing behavior of the env_file_path branch.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address PR review feedback for #4119: avoid throwaway ObservabilitySettings
  
  - Add _read_bool_env/_read_int_env helpers to read env vars without
    constructing a full ObservabilitySettings (which calls create_resource())
  - Replace ObservabilitySettings() in enable_instrumentation() and
    configure_otel_providers() else-branch with direct env reads
  - Add enable_console_exporters parameter to configure_otel_providers()
    for override parity with enable_sensitive_data and vs_code_extension_port
  - Propagate _resource and _executed_setup in the non-env_file_path branch
  - Make existing tests hermetic (clear VS_CODE_EXTENSION_PORT and
    ENABLE_CONSOLE_EXPORTERS env vars)
  - Add tests: enable_console_exporters env refresh, explicit param overrides
    for both enable_instrumentation() and configure_otel_providers()
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address remaining review feedback for #4119
  
  - Refresh enable_console_exporters in enable_instrumentation() for
    consistency with configure_otel_providers(), so env var changes
    after import are picked up by both public API functions
  - Make test_configure_otel_providers_reads_env_vs_code_port hermetic
    by clearing ENABLE_CONSOLE_EXPORTERS from the environment
  - Add test_enable_instrumentation_reads_env_console_exporters to
    cover the new refresh behavior
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Remove unconditional enable_console_exporters overwrite from enable_instrumentation() (#4119)
  
  enable_instrumentation() is documented as not configuring exporters, so
  managing enable_console_exporters there was a leaky abstraction. The
  unconditional _read_bool_env call silently reset the value to False when
  ENABLE_CONSOLE_EXPORTERS was absent from env, clobbering any value
  previously set by configure_otel_providers(enable_console_exporters=True).
  
  - Remove the unconditional overwrite line from enable_instrumentation()
  - Replace test_enable_instrumentation_reads_env_console_exporters with
    test_enable_instrumentation_does_not_touch_console_exporters
  - Add regression test: enable_instrumentation() does not clobber a
    previously configured enable_console_exporters value
  - Add test: explicit enable_sensitive_data param still leaves
    enable_console_exporters untouched
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-18 15:58:22 +00:00
  acaf6b7054
• Python: Fix missing methods on the Content class in durable tasks (#4738)

  * Fix Content serialization in DurableAgentStateUnknownContent (#4719)
  
  DurableAgentStateUnknownContent.from_unknown_content() stored raw Content
  objects without converting them to dicts, causing json.dumps to fail in
  Azure Durable Functions' entity state serialization. This affected content
  types not explicitly handled (e.g., mcp_server_tool_call/result).
  
  The fix converts Content objects to dicts via to_dict() when storing in
  DurableAgentStateUnknownContent, and restores them via Content.from_dict()
  in to_ai_content().
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Add to_json and from_json methods to Content class (#4719)
  
  Add to_json() and from_json() methods to the Content class to match the
  serialization interface provided by SerializationMixin on other model classes.
  Also fix pre-existing pyright type errors in durabletask's
  DurableAgentStateUnknownContent.to_ai_content().
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address PR review: add type guard, remove to_json, add fallback, and tests
  
  - Remove Content.to_json() per reviewer request (comment 3)
  - Add type guard in Content.from_json() for non-dict JSON (comments 1, 4)
  - Wrap json.JSONDecodeError as ValueError for consistent exception contract
  - Add try/except fallback in to_ai_content() for invalid Content dicts (comment 5)
  - Add test_content_to_dict_exclude_none and test_content_to_dict_exclude_fields (comment 2)
  - Add test_unknown_content_to_ai_content_fallback_on_invalid_type_dict (comment 5)
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Address review feedback for #4719: review comment fixes
  
  * Remove Content.from_json, move logic to consuming code (#4719)
  
  Remove the from_json convenience method from Content class per review
  feedback. This is the same trivial json.loads + from_dict wrapper as
  to_json which was already removed. Consumers should call json.loads
  and Content.from_dict directly.
  
  Update tests to use Content.from_dict(json.loads(...)) pattern and
  remove from_json-specific error handling tests (those errors are
  already covered by json.loads and Content.from_dict).
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-18 08:08:44 +00:00
  705ed47a0b
• Python: Reduce Azure chat client import overhead (#4744)

  * Reduce Azure chat client import overhead
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix Azure chat client type annotations and add _parse_text_from_openai tests
  
  - Move Choice and ChunkChoice imports under TYPE_CHECKING to avoid
    runtime import cost (from __future__ annotations is already present)
  - Restore proper typed signature (Choice | ChunkChoice) instead of Any
  - Add direct unit tests for _parse_text_from_openai covering:
    - Choice with message content
    - ChunkChoice with delta content
    - Refusal branch for both Choice and ChunkChoice
    - No content/no refusal returning None
    - None delta (async content filtering) returning None
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  Co-authored-by: Copilot <copilot@github.com>

  Eduard van Valkenburg · 2026-03-18 08:05:42 +00:00
  192a283c9a
• Python: Fix RUN_FINISHED.interrupt to accumulate all interrupts when multiple tools need approval (#4717)

  * Fix flow.interrupts overwrite when multiple tools need approval (#4590)
  
  Change flow.interrupts assignment to append so that all interrupt entries
  accumulate when multiple tools require approval in a single turn.
  
  Both _run_common.py and _agent_run.py used assignment (=) which caused
  each new interrupt to overwrite the previous one. Switching to append()
  ensures RUN_FINISHED.interrupt contains all pending approvals.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Add test for streaming path with multiple confirm_changes interrupts (#4590)
  
  Add integration test exercising run_agent_stream with multiple predictive
  tool calls requiring confirmation. Verifies that flow.interrupts.append()
  correctly accumulates all interrupt entries and they appear in the
  RUN_FINISHED event.
  
  Also confirms FlowState already declares interrupts field with
  default_factory=list, addressing the AttributeError concern from review.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-17 12:44:44 +00:00
  94af83680e
• Python: fix thread serialization for multi-turn tool calls (#4684)

  * Python: strip fc_id from loaded history
  
  * Move fc_id replay handling into Responses client
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Remove unnecessary pytest asyncio marker
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Add Responses integration test for fc_id replay
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * removed old arg
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-17 10:00:04 +00:00
  cdb51e6a41
• Python: preserve A2A message context_id (#4686)

  * Python: forward A2A context_id
  
  * Avoid duplicating A2A context ids
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-16 21:41:31 +00:00
  0fdcfd0f4c
• Python: Fix _deduplicate_messages catch-all branch dropping valid repeated messages (#4716)

  * Fix _deduplicate_messages catch-all branch dropping valid repeated messages (#4682)
  
  Remove the catch-all dedup branch that used (role, hash(content_str)) as a
  dedup key. This incorrectly treated any two messages with the same role and
  identical content as duplicates, dropping valid repeated messages (e.g., a
  user saying 'yes' to confirm two separate things).
  
  The tool-specific dedup branches (tool results by call_id, assistant tool
  calls by call_id tuple) remain unchanged as they correctly identify true
  protocol-level duplicates.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review: consecutive-duplicate detection for non-tool messages (#4682)
  
  - Replace blanket dedup removal with consecutive-duplicate detection:
    only skip a message if the immediately preceding message has the same
    role and content, preserving protection against upstream replays while
    allowing identical messages at different conversation points.
  - Strengthen test assertions to verify message identity and order, not
    just list length.
  - Add tests for consecutive duplicate skipping, non-consecutive
    preservation, and messages with contents=None.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Use message_id for deduplication instead of content hashing
  
  Deduplicate general messages by message_id when available, replacing
  the consecutive-duplicate content check. Two messages with the same id
  are definitively the same message (upstream replay), while identical
  content with distinct ids (e.g. repeated "yes" confirmations) is
  preserved. Messages without a message_id are always kept.
  
  * Fix message_id dedup: truthy check, content-hash fallback, log safety
  
  - Use truthy check (`if msg.message_id`) instead of `is not None` so
    empty-string IDs fall through to content-hash dedup rather than
    collapsing unrelated messages.
  - Add content-hash fallback for messages without message_id, preventing
    false negatives from integrations that don't set IDs.
  - Remove raw message_id from log format string (addresses log-injection
    surface with control characters).
  - Add tests for empty-string message_id edge cases.
  - Update existing tests to reflect content-hash dedup behavior.
  
  Fixes #4682
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <copilot@github.com>
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-16 17:47:33 +00:00
  55011b7258
• Python: keep MCP cleanup on the owner task (#4687)

  * Python: keep MCP cleanup on owner task
  
  * Avoid MCP owner task deadlocks
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix MCP owner-task timeout tests
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-14 13:54:05 +00:00
  1b7940c91e
• Python: normalize empty MCP tool output to null (#4683)

  * Python: normalize empty MCP tool output to null
  
  * Python: hardcode null for empty MCP output

  Eduard van Valkenburg · 2026-03-13 20:03:48 +00:00
  052ba7be07
• Python: chore(python): improve dependency range automation (#4343)

  * chore(python): improve dependency range automation
  
  - tighten dependency bounds and coding standards guidance\n- add dependency range validation workflow, reporting, and issue automation\n- update related tests and dependency pins for compatibility
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * updated text and pyarrow
  
  * new lock
  
  * fixed workflow
  
  * updated deps
  
  * fix tiktoken
  
  * chore(python): refine dependency validation workflows
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * docs(python): add high-level dependency validation comments
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * WIP
  
  * added additional comments and excludes
  
  * added dev dependency handling and workflow and updates to package ranges
  
  * added readme and simplified commands
  
  * fix markers
  
  * chore(python): address dependency review feedback
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Tighten dependency bounds, remove stale overrides, restore Python 3.10 support
  
  - Apply dependency bound policy across all packages: stable >=1.0 deps use
    >=floor,<next_major; pre-1.0/prerelease deps use validated hard-bounded ranges
  - Remove stale root tool.uv.override-dependencies (uvicorn, websockets, grpcio)
  - Lower github_copilot requires-python to >=3.10 with github-copilot-sdk gated
    behind python_version >= 3.11 marker; import raises ImportError on 3.10
  - Skip github_copilot pyright/mypy/test tasks on Python <3.11
  - Use version-conditional pyrightconfig for samples on Python 3.10
  - Add compatibility fix in core responses client for older openai typed dicts
  - Normalize uv.lock prerelease mode and refresh dev dependencies
  - Update CODING_STANDARD.md, DEV_SETUP.md, and package management skill docs
  
  Closes #902
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * small tweaks
  
  * add note in workflow
  
  * fix workflows and several versions
  
  * fix duplicate
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-13 12:32:37 +00:00
  50fdcbaf57
• Bump rollup from 7.5.9 to 7.5.11 (#4688)
  SergeyMenshykh · 2026-03-13 12:30:29 +00:00
  67b0282813
• [BREAKING] Python: clean up kwargs across agents, chat clients, tools, and sessions (#4581)

  * Python: clean up kwargs across agents, chat clients, tools, and sessions (#3642)
  
  Audit and refactor public **kwargs usage across core agents, chat clients,
  tools, sessions, and provider packages per the migration strategy codified
  in CODING_STANDARD.md.
  
  Key changes:
  - Add explicit runtime buckets: function_invocation_kwargs and client_kwargs
    on RawAgent.run() and chat client get_response() layers.
  - Refactor FunctionTool to prefer explicit ctx: FunctionInvocationContext
    injection; legacy **kwargs tools still work via _forward_runtime_kwargs.
  - Refactor Agent.as_tool() to use direct JSON schema, always-streaming
    wrapper, approval_mode parameter, and UserInputRequiredException
    propagation (integrates PR #4568 behavior).
  - Remove implicit session bleeding into FunctionInvocationContext; tools
    that need a session must receive it via function_invocation_kwargs.
  - Lower chat-client layers after FunctionInvocationLayer accept only
    compatibility **kwargs (client_kwargs flattened, function_invocation_kwargs
    ignored).
  - Add layered docstring composition from Raw... implementations via
    _docstrings.py helper.
  - Clean up provider constructors to use explicit additional_properties.
  - Deprecation warnings on legacy direct kwargs paths.
  - Update samples, tests, and typing across all 23 packages.
  
  Resolves #3642
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * clarified docstring
  
  * feedback fixes
  
  * Add unit tests for _docstrings.py build/apply helpers
  
  Tests cover: no docstring source, no extra kwargs, appending to existing
  Keyword Args section, inserting after Args, inserting in plain docstrings,
  multiline descriptions, ordering, and apply_layered_docstring.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Add test for propagate_session TypeError on non-AgentSession values
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Add tests for multi-content and empty UserInputRequiredException propagation
  
  Cover the branching logic in _try_execute_function_calls for:
  - Multiple user_input_request items in a single exception (extra_user_input_contents path)
  - Empty contents list (fallback function_result path)
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Add tests for DurableAIAgent.get_session forwarding service_session_id
  
  Verifies get_session correctly forwards service_session_id and session_id
  to the executor's get_new_session, replacing the removed kwargs test.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Simplify ag-ui test stub to read session from client_kwargs only
  
  Remove dual-mode detection (client_kwargs vs raw kwargs fallback) from
  the test mock. Session is now read exclusively from client_kwargs,
  matching the settled public calling convention.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * updated create and get sessions in durable
  
  * fixed docstrings
  
  * fix test
  
  * updated session handling
  
  * updated from main
  
  * updated tests
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-13 08:58:32 +00:00
  a4b9539b62
• fix duplicate names between supplied tools and mcp servers (#4649)
  Eduard van Valkenburg · 2026-03-13 08:22:56 +00:00
  b7990908fe
• Python: Fix type hint for Case and Default (#3985)

  * Fix type hint for `Case` and `Default`
  
  * Add test
  
  ---------
  
  Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>

  Chinedum Echeta · 2026-03-13 08:17:24 +00:00
  84bae0f42a
• Python: A2AAgent defaults name/description from AgentCard (#4661)

  * Python: A2AAgent defaults name/description from AgentCard
  
  When an AgentCard is provided but name/description are not explicitly
  set, A2AAgent now falls back to agent_card.name and agent_card.description.
  This avoids redundant duplication when constructing A2AAgent instances,
  especially in GroupChat orchestrations where name and description are
  essential for routing decisions.
  
  Explicit values still take precedence over card values.
  
  Fixes #4630
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Use 'is None' checks instead of truthiness for name/description fallback
  
  Ensures explicitly provided empty strings are not overridden by
  agent_card values. Adds test for the empty string edge case.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Giles Odigwe · 2026-03-13 00:14:23 +00:00
  f696ac9b57
• Python: Unify tool results as Content items with rich content support (#4331)

  * feat(python): allow @tool functions to return rich content (images, audio)
  
  Add support for tool functions to return Content objects that the model can perceive natively. Closes #4272
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Anthropic logging + mypy fix
  
  * Address PR review: fix MCP ordering, fold helper into from_function_result, fix Chat client
  
  - Preserve original content order in MCP tool results instead of text-first
  - Move _build_function_result logic into Content.from_function_result()
  - Chat Completions: inject user message for rich items (API only supports string tool content)
  - Update tests for ordering and new from_function_result behavior
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Use native Responses API multi-part output, warn+omit for Chat client
  
  - Responses client: put rich items directly in function_call_output's
    output field as list (native API support) instead of user message injection
  - Chat client: warn and omit rich items (API doesn't support multi-part
    tool results), matching Ollama/Bedrock pattern
  - Unify test image: use sample_image.jpg across all integration tests
  - Add Azure OpenAI Responses integration test
  - Assert model describes house image to verify perception
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix lint: remove print statement, wrap long line
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback: bug fixes, single-pass MCP, unit tests
  
  - Add isinstance guard in from_function_result for non-Content lists
  - Fix Anthropic empty tool_content fallback to string result
  - Fix Content(type='text', text=None) edge case in parse_result
  - Rewrite MCP _parse_tool_result_from_mcp as single-pass (no index counters)
  - Add Anthropic unit tests: data image, uri image, unsupported media, all-unsupported
  - Add OpenAI Chat unit test: rich items warning and omission
  - Add OpenAI Responses unit tests: function_result with/without items
  - Add test_types tests: only-rich-items list, non-Content list fallback
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix pyright errors: add type ignore comments for Any list iteration
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix mypy/pyright: ensure ToolExecutionException receives str
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix lint: remove duplicate test_prepare_options_excludes_conversation_id
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * refactor: unify all tool results into Content items
  
  * addressed copilot comments
  
  * pyright fix
  
  * small fix
  
  * comments
  
  * fix: address Copilot review - warnings, blob safety, dedup
  
  - Add warning logs when rich content is dropped in Claude agent and
    MCP server handlers (matching Chat/Bedrock/Ollama pattern)
  - Defensive blob URI construction: wrap plain base64 in data: prefix
  - Simplify Chat client _prepare_content_for_openai to use content.result
  - Simplify Responses client text-only path, remove redundant nesting
  - Add test for plain base64 blob without data: prefix
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix token double-counting in compaction and address review comments
  
  - Exclude items from _serialize_content() to prevent double-counting
    tokens when items mirrors result in function_result content
  - Add rich content warning in GitHub Copilot agent tool handler
  - Replace raw Content debug log with concise item count/type summary
  - Update stale test comments about FunctionTool.invoke return type
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Giles Odigwe · 2026-03-12 22:30:09 +00:00
  5e33deff45
• fix: omit toolConfig when tool_choice="none" in BedrockChatClient (#4535)

  Bedrock's Converse API only accepts "auto", "any", or "tool" as valid
  toolChoice keys. The previous code mapped tool_choice="none" to
  {"none": {}}, which causes a botocore.exceptions.ParamValidationError.
  
  When tool_choice="none" (set by FunctionInvocationLayer after exhausting
  max iterations), the fix now omits toolConfig entirely so the model
  won't attempt tool calls.
  
  Added tests for tool_choice="none", "auto", and "required" modes.
  
  Fixes #4529
  
  Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

  L. Elaine Dazzio · 2026-03-12 18:49:08 +00:00
  b6a1315386
• Python: Fix state snapshot to use deepcopy so nested mutations are detected in durable workflow activities (#4518)

  * Use deepcopy for state snapshot to detect nested mutations (#4500)
  
  Replace dict() shallow copy with copy.deepcopy() when snapshotting
  workflow state before activity execution. The shallow copy shared
  references to nested objects (dicts, lists), so in-place mutations by
  executors were reflected in both the snapshot and live state, producing
  an empty diff and preventing state updates from propagating to
  downstream activities.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Python: Fix state snapshot to use deepcopy so nested mutations are detected in durable workflow activities
  
  Fixes #4500
  
  * Address PR review: remove report, extract testable helpers (#4500)
  
  - Delete REPRODUCTION_REPORT.md (debugging artifact with local paths
    and raw LLM output)
  - Extract _create_state_snapshot() and _compute_state_updates() as
    module-level helpers in _app.py so tests exercise the production
    code path
  - Update TestStateSnapshotDiff to import and use production helpers
    instead of reimplementing snapshot/diff logic locally
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Add regression tests proving shallow copy bug and deep copy isolation (#4500)
  
  Add two additional tests to TestStateSnapshotDiff:
  - test_shallow_copy_would_miss_nested_mutations: reproduces the original
    bug by demonstrating that dict() (shallow copy) misses nested mutations
  - test_create_state_snapshot_isolates_nested_objects: verifies the
    production _create_state_snapshot helper creates a true deep copy
  
  These tests ensure a regression back to shallow copy would be caught.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Add integration test exercising full activity code path (#4500)
  
  Address PR review comment: add test_executor_activity_detects_nested_state_mutations
  that captures the actual executor_activity function from _setup_executor_activity
  and verifies it detects in-place nested mutations. This test would fail if
  _app.py line 314 regressed from _create_state_snapshot() back to dict().
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address review feedback for #4518: review comment fixes
  
  * Address PR review feedback for state snapshot diff
  
  - Inline _compute_state_updates logic at call site to reuse precomputed
    original_keys/current_keys sets, avoiding redundant set allocations
  - Fix test docstring to describe behavioral regression instead of
    hard-coding a specific line number
  - Use SOURCE_ORCHESTRATOR constant in integration test instead of
    literal string
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * fix: remove unused _compute_state_updates from _app.py (#4518)
  
  The function was inlined per review comment, making the module-level
  helper unused and triggering a pyright reportUnusedFunction error.
  Move the helper into the test file where it is still needed for unit
  testing the diffing logic.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-12 18:43:12 +00:00
  ed2fb3b9dd
• Bump rollup from 4.47.1 to 4.59.0 in /python/packages/devui/frontend (#4338)

  Bumps [rollup](https://github.com/rollup/rollup) from 4.47.1 to 4.59.0.
  - [Release notes](https://github.com/rollup/rollup/releases)
  - [Changelog](https://github.com/rollup/rollup/blob/master/CHANGELOG.md)
  - [Commits](https://github.com/rollup/rollup/compare/v4.47.1...v4.59.0)
  
  ---
  updated-dependencies:
  - dependency-name: rollup
    dependency-version: 4.59.0
    dependency-type: indirect
  ...
  
  Signed-off-by: dependabot[bot] <support@github.com>
  Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

  dependabot[bot] · 2026-03-12 02:42:59 +00:00
  fcdaaff9cd
• Bump minimatch from 3.1.2 to 3.1.5 in /python/packages/devui/frontend (#4337)

  Bumps [minimatch](https://github.com/isaacs/minimatch) from 3.1.2 to 3.1.5.
  - [Changelog](https://github.com/isaacs/minimatch/blob/main/changelog.md)
  - [Commits](https://github.com/isaacs/minimatch/compare/v3.1.2...v3.1.5)
  
  ---
  updated-dependencies:
  - dependency-name: minimatch
    dependency-version: 3.1.5
    dependency-type: indirect
  ...
  
  Signed-off-by: dependabot[bot] <support@github.com>
  Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

  dependabot[bot] · 2026-03-12 02:42:02 +00:00
  384291ba27
• Fix CWE-863: Validate function approval responses in DevUI executor (#4598)

  The DevUI /v1/responses endpoint accepts function_approval_response content
  without verifying that the request_id corresponds to a real pending approval
  request issued by the server. This allows forged approval responses to
  execute arbitrary tools with attacker-controlled arguments, bypassing
  approval_mode='always_require'.
  
  Changes:
  - Track outgoing approval requests in a server-side registry
    (_pending_approvals) keyed by request_id
  - Validate incoming approval responses against this registry; reject
    any response whose request_id was not issued by the server
  - Use server-stored function_call data (tool name, arguments, call_id)
    instead of client-supplied data when constructing the approval response
  - Consume request_ids on use (pop from registry) to prevent replay attacks
  
  Tests:
  - 8 new tests covering forged rejection, server-data enforcement,
    anti-replay, multiple independent approvals, and edge cases
  
  Co-authored-by: REDMOND\tusharmudi <tusharmudi@microsoft.com>

  Tushar Mudi · 2026-03-12 02:34:31 +00:00
  378bee577e
• Python: Validate approval responses against server-side pending request registry (#4548)

  * Validate approval responses against server-side pending request registry
  
  * improvements
  
  * pin GHCP sdk version to non-breaking for now
  
  * Pin CHCP sdk to LKG.
  
  * really fix GHCP sdk pkg version
  
  * Fix HITL approval validation security gaps and memory leak
  
  - Validate rejected approval responses against pending_approvals registry,
    not just approved ones. Fabricated rejections without a prior request are
    now stripped from messages before reaching the LLM.
  - Bound _pending_approvals with OrderedDict + LRU eviction (max 10k) to
    prevent unbounded memory growth from abandoned approval requests.
  - Skip registration when function_call.name is None/empty; log warning
    when content.id or function_call is missing at registration time.
  - Document pending_approvals parameter in run_agent_stream docstring.
  - Add test for fabricated rejection attack scenario.
  - Assert pending approval entry is preserved after function name mismatch.
  - Pre-populate pending_approvals in rejection test for correct validation.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-11 23:21:29 +00:00
  18e433fc6d
• Python: Fix function_approval_response extraction in AG-UI workflow path (#4550)

  * Extract function_approval_response from workflow messages (#4546)
  
  _extract_responses_from_messages now handles function_approval_response
  content in addition to function_result content. Previously, approval
  responses sent via the messages field were silently dropped because the
  function only checked for content.type == "function_result".
  
  The approval response is keyed by content.id and includes the approved
  status, id, and serialized function_call — consistent with how
  _coerce_content identifies approval response payloads.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Apply pre-commit auto-fixes
  
  * Fix #4546: Update docstring and add integration tests for message-based approvals
  
  - Update _extract_responses_from_messages docstring to reflect that it
    now handles function_approval_response content in addition to
    function_result content.
  - Add integration tests for run_workflow_stream across two turns with
    approval responses provided via messages (function_approvals) rather
    than resume.interrupts, covering both approved and denied scenarios.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Address PR review feedback for #4546
  
  - Use safer 'not .get("interrupt")' assertion instead of 'not in'
    to handle Pydantic v2 model_dump() including keys with None values
  - Add unit test for mixed function_result and function_approval_response
    in the same message to TestExtractResponsesFromMessages
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Evan Mattson · 2026-03-11 22:54:16 +00:00
  2f2495e196
• Python: Fix missing status input for OpenAI responses API (#4626)

  * Fix missing status input for OpenAI responses API
  
  * Fix mypy
  
  * Address comments
  
  * Remove raw_rep restore
  
  * Do not set status if it's None

  Tao Chen · 2026-03-11 21:20:23 +00:00
  b1866bd279
• Python: Implement annotation-based context compaction (#4469)

  * Implement annotation-based context compaction
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Handle missing compaction attributes in BaseChatClient
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Fix CI typing and bandit issues
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * Optimize incremental compaction annotation pass
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * refinement
  
  * Python: add ToolResultCompactionStrategy and CompactionProvider
  
  Add ToolResultCompactionStrategy that collapses older tool-call groups
  into short summary messages (e.g. [Tool calls: get_weather]) while
  keeping the most recent groups verbatim. This mirrors the .NET
  ToolResultCompactionStrategy from PR #4533.
  
  Add CompactionProvider as a context-provider that auto-applies compaction
  before each agent turn and stores compacted history in session state
  after each turn.
  
  Includes tests and samples for both features.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * refinement and alignment with dotnet PR
  
  * updated tool result compaction
  
  * updated tool result compaction
  
  * Python: add ToolResultCompactionStrategy, CompactionProvider, and skip_excluded
  
  - ToolResultCompactionStrategy collapses older tool-call groups into
    [Tool results: func_name: result] summaries with bidirectional tracing
    (same pattern as SummarizationStrategy).
  - CompactionProvider as BaseContextProvider with separate before_strategy
    and after_strategy parameters. before_strategy compacts loaded context;
    after_strategy compacts stored history via history_source_id.
  - InMemoryHistoryProvider gains skip_excluded flag to filter out messages
    marked as excluded by compaction strategies.
  - Tests, samples, and exports updated.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * fixed checks
  
  * fix mypy
  
  * Fix: ensure summary messages from both strategies get full compaction annotations
  
  SummarizationStrategy was not calling annotate_message_groups after
  inserting its summary message, so the summary lacked core group
  annotations (id, kind, index, has_reasoning, _excluded). Added the
  missing call. ToolResultCompactionStrategy already had it.
  
  Added tests verifying both strategies produce fully annotated summaries.
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  
  * updated propagation
  
  * fix mypy
  
  ---------
  
  Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

  Eduard van Valkenburg · 2026-03-11 19:23:00 +00:00
  3e03a305f6
• Prepare RC4 release (#4631)
  Dmytro Struk · 2026-03-11 18:53:38 +00:00
  53b0753dfb
• Python: Support skill scripts execution (#4558)

  * support skill scripts execution
  
  * fix mixed line endings
  
  * address comments and fix syntax issues
  
  * use few try/except instead of one
  
  * change samples
  
  * validate either script path or script resource is set not both
  
  * fix: separate LLM args from runtime kwargs in skill script execution
  
  * address pr review comments
  
  * address PR review comments
  
  * Update python/packages/core/agent_framework/_skills.py
  
  Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
  
  * Update python/packages/core/agent_framework/_skills.py
  
  Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
  
  * Update python/packages/core/agent_framework/_skills.py
  
  Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
  
  * 1. Fixing the caching bug where parameters_schema would re-inspect on every call when the result was None
     2. Updating the arguments tool description to be more generic (not CLI-specific)
  
  * fix failing tests
  
  * address pr review comments
  
  * address pr review comments
  
  * allow resource function returning any instead of sting
  
  * address PR review comments
  
  ---------
  
  Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

  SergeyMenshykh · 2026-03-11 18:28:30 +00:00
  23ebfbc937
• Python: Fix broken link in purview README (504 on Microsoft 365 Dev Program URL) (#4610)

  * Initial plan
  
  * Fix broken link in purview README: replace 504-returning dev-program URL with stable learn.microsoft.com URL
  
  Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
  
  ---------
  
  Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
  Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>

  Copilot · 2026-03-11 00:12:53 +00:00
  97b6c9951a