Commit Graph

1952 Commits

  • Python: Fix: Parse oauth_consent_request events in Azure AI client (#4197)
    * Fix: Parse oauth_consent_request events in Azure AI client (#3950)
    
    When Azure AI Agent Service returns an oauth_consent_request output item
    for OAuth-protected MCP tools, the base OpenAI responses parser drops it
    (hits case _ default branch). This causes agent runs to complete silently
    with zero content.
    
    Changes:
    - Add oauth_consent_request ContentType and Content.from_oauth_consent_request()
      factory with consent_link field and user_input_request=True
    - Override _parse_response_from_openai and _parse_chunk_from_openai in
      RawAzureAIClient to intercept Azure-specific oauth_consent_request items
    - Add _emit_oauth_consent helper in AG-UI to emit CustomEvent for frontends
    - Add tests proving base parser drops the event and Azure AI override catches it
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * addressed comment
    
    * addressed comments
    
    * addressed comments
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Add file_ids and data_sources support to get_code_interpreter_tool() (#4201)
    * Python: Add file_ids and data_sources support to AzureAIAgentClient.get_code_interpreter_tool()
    
    Update the factory method to accept file_ids and data_sources keyword
    arguments, matching the underlying azure.ai.agents SDK CodeInterpreterTool
    constructor. This enables users to attach uploaded files for code
    interpreter analysis.
    
    Fixes #4050
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * addressed comments
    
    * addressed comments
    
    * Add per-message file attachment support for AzureAIAgentClient
    
    Add hosted_file handling in _prepare_messages() to convert
    Content.from_hosted_file() into MessageAttachment on ThreadMessageOptions.
    This enables per-message file scoping for code interpreter, matching the
    underlying Azure AI Agents SDK MessageAttachment pattern.
    
    - Add hosted_file case in _prepare_messages() match statement
    - Import MessageAttachment from azure.ai.agents.models
    - Add sample for per-message CSV file attachment with code interpreter
    - Add employees.csv test data file
    - Add 3 unit tests for hosted_file attachment conversion
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address PR review: validation, fix assertions, remove MessageAttachment
    
    - Add empty string validation in resolve_file_ids()
    - Add test for Content with file_id=None
    - Add test for empty string file_ids
    - Revert MessageAttachment/hosted_file handling from _prepare_messages()
      (moved to separate issue #4352 for proper design)
    - Remove per-message file upload sample and employees.csv
    - Keep data_sources assertion as-is (dict keyed by asset_identifier)
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Fix workflow tests pyright warnings (#4362)
    * Fix workflow tests pyright warnings
    
    * Update uv.lock
    
    * Fix pyright
    
    * Comments
    
    * Update root pyproject pyright setting
    
    * Update core pyproject pyright setting
    
    * Update core pyproject pyright setting
  • ADR: Python context compaction strategy (#3802)
    * Add ADR for Python context compaction strategy
    
    * Remove async vs sync open question - compact() is async
    
    * updated adr
    
    * docs: refine context compaction ADR
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * updated adr
    
    * further refinement
    
    * renamed and numbered
    
    * remove XX version
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Add OpenTelemetry instrumentation to ClaudeAgent (#4278) (#4326)
    * Python: Add OpenTelemetry instrumentation to ClaudeAgent (#4278)
    
    Add inline telemetry to ClaudeAgent.run() so that enable_instrumentation()
    emits invoke_agent spans and metrics. Covers both streaming and
    non-streaming paths using the same observability helpers as
    AgentTelemetryLayer. Adds 5 unit tests for telemetry behavior.
    
    Co-Authored-By: amitmukh <amimukherjee@microsoft.com>
    
    * Address PR review feedback for ClaudeAgent telemetry
    
    - Add justification comment for private observability API imports
    - Pass system_instructions to capture_messages for system prompt capture
    - Use monkeypatch instead of try/finally for test global state isolation
    
    Co-Authored-By: amitmukh <amitmukh@users.noreply.github.com>
    Co-Authored-By: Claude <noreply@anthropic.com>
    
    * Adopt AgentTelemetryLayer instead of inline telemetry
    
    Restructure ClaudeAgent to inherit from AgentTelemetryLayer via a
    _ClaudeAgentRunImpl mixin, eliminating duplicated telemetry code and
    private API imports.
    
    MRO: ClaudeAgent → AgentTelemetryLayer → _ClaudeAgentRunImpl → BaseAgent
    
    - Remove inline _run_with_telemetry / _run_with_telemetry_stream methods
    - Remove private observability helper imports (_capture_messages, etc.)
    - Add default_options property mapping system_prompt → instructions
    - Net -105 lines by reusing core telemetry layer
    
    Co-Authored-By: amitmukh <amitmukh@users.noreply.github.com>
    Co-Authored-By: Claude <noreply@anthropic.com>
    
    * Fix mypy: align _ClaudeAgentRunImpl.run() signature with AgentTelemetryLayer.run()
    
    Remove explicit `options` parameter from mixin's run() signature and
    extract it from **kwargs to match AgentTelemetryLayer's signature.
    Also align overload return types (ResponseStream, Awaitable) to match.
    
    Co-Authored-By: Claude <noreply@anthropic.com>
    
    * Introduce RawClaudeAgent following framework's RawAgent/Agent pattern
    
    Replace private _ClaudeAgentRunImpl mixin with public RawClaudeAgent
    class that contains all core logic (init, run, lifecycle, tools).
    ClaudeAgent becomes a thin wrapper that adds AgentTelemetryLayer.
    
    - RawClaudeAgent(BaseAgent): full implementation without telemetry
    - ClaudeAgent(AgentTelemetryLayer, RawClaudeAgent): adds OTel tracing
    - Export RawClaudeAgent from package __init__.py
    
    Users who want to skip telemetry or provide their own can use
    RawClaudeAgent directly.
    
    Co-Authored-By: Claude <noreply@anthropic.com>
    
    * Address review nits: trim RawClaudeAgent docstring, fix import paths
    
    - Simplify RawClaudeAgent docstring to a single basic example (not the
      primary entry point for most users)
    - Use agent_framework.anthropic import path in docstrings instead of
      direct agent_framework_claude path
    - Add RawClaudeAgent to agent_framework.anthropic lazy re-exports
    
    Co-Authored-By: Claude <noreply@anthropic.com>
    
    ---------
    
    Co-authored-by: Amit Mukherjee <amimukherjee@microsoft.com>
    Co-authored-by: amitmukh <amitmukh@users.noreply.github.com>
    Co-authored-by: Claude <noreply@anthropic.com>
    Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
  • Python: Fix StandardMagenticManager to propagate session to manager agent (#4409)
    * Fix #4371: Propagate session to manager agent in StandardMagenticManager
    
    StandardMagenticManager._complete() was calling self._agent.run(messages)
    without passing a session. This caused context providers (e.g.
    RedisHistoryProvider) configured on the manager agent to silently fail,
    as each call created a new ephemeral session with a different session_id.
    
    Changes:
    - Create an AgentSession in StandardMagenticManager.__init__()
    - Pass session=self._session in _complete() calls to agent.run()
    - Persist/restore the session in checkpoint save/restore methods
    - Add regression tests for session propagation and checkpoint round-trip
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Add type: ignore[reportPrivateUsage] to private attribute assertions in tests
    
    Address PR review feedback: add # type: ignore[reportPrivateUsage] comments
    to _session attribute accesses in the new regression tests, matching the
    existing convention used elsewhere in test_magentic.py (e.g., lines 401-406).
    
    The @pytest.mark.asyncio decorator is not needed because pyproject.toml
    sets asyncio_mode = "auto".
    
    Fixes #4371
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address review: use getattr for private _session access in tests (#4371)
    
    Replace direct mgr._session access with getattr(mgr, "_session") to avoid
    reportPrivateUsage type-checking warnings without needing type: ignore comments.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Apply pre-commit auto-fixes
    
    * Address PR review: fix session restore guard and improve test robustness (#4371)
    
    - Use 'is not None' instead of truthiness check for session_payload restore
    - Use getattr() for private _session attribute access in tests
    - Add backward-compatibility test for on_checkpoint_restore with empty state
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Make non-async tests plain def to avoid pytest-asyncio dependency (#4409)
    
    Tests that never await anything don't need to be async. Using plain def
    ensures they always run regardless of pytest-asyncio configuration.
    
    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>
  • .NET: [BREAKING] Change *Provider StateKey to list of StateKeys (#4395)
    * Change *Provider StateKey to list of StateKeys
    
    * Add more statekey validation tests
    
    * Address PR comments
  • Python: Added Shell tool (#4339)
    * Added shell tool
    
    * Fixed CI error
    
    * Add ShellTool support for OpenAI and Anthropic providers
    
    - Add shell_tool_call, shell_tool_result, and shell_command_output content types
    - Add ShellTool class and shell_tool decorator to core
    - Add get_hosted_shell_tool() to OpenAI Responses client
    - Handle shell_call and shell_call_output parsing in OpenAI (sync and streaming)
    - Map ShellTool to Anthropic bash tool API format
    - Parse bash_code_execution_tool_result as shell_tool_result in Anthropic
    - Add unit tests for all new functionality
    - Add sample scripts for hosted and local shell execution
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Addressed comments
    
    * Reverted ruff change
    
    * Fixed tests
    
    * Addressed comments
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Fix IndexError when reasoning models produce reasoning-only messages in Magentic-One workflow (#4413)
    * Fix IndexError when reasoning models return no text content (#4384)
    
    In _prepare_message_for_openai(), the text_reasoning case unconditionally
    accessed all_messages[-1] to attach reasoning_details. When a reasoning
    model (e.g. gpt-5-mini) returns reasoning_details without text content,
    all_messages is empty, causing an IndexError.
    
    Guard the access by initializing all_messages with the current args dict
    when it is empty, so reasoning_details can be safely attached.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address review: buffer reasoning details for valid message payloads (#4384)
    
    - Buffer pending reasoning details and attach to the next message with
      content/tool_calls, avoiding standalone reasoning-only messages.
    - When reasoning is the only content, emit a message with empty content
      to satisfy Chat Completions schema requirements.
    - Strengthen test assertions to verify text+reasoning co-location and
      that all messages with reasoning_details also have content or tool_calls.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix text_reasoning handling: always buffer and tighten tests (#4384)
    
    - Always buffer reasoning into pending_reasoning instead of conditionally
      attaching to the previous message via fragile all_messages emptiness check
    - Attach buffered reasoning to last message at end-of-loop when no subsequent
      content consumed it
    - Assert exact content values (content == '' not in ('', None))
    - Assert exact list lengths (== 1 not >= 1) for stronger regression guards
    - Add test for reasoning before FunctionCallContent
    
    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>
  • Python: Add Azure Cosmos history provider package (#4271)
    * Created cosmos history provider
    
    * add marker
    
    * Python: address Cosmos PR feedback
    
    - address provider/test/sample review feedback and cleanup typing
    - add cosmos integration test coverage and skip gating
    - add dedicated cosmos emulator jobs to python merge/integration workflows
    - switch cosmos workflow execution to package poe integration-tests task
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: handle empty Cosmos session id
    
    - replace default partition fallback for empty session_id
    - log warning and generate GUID when session_id is empty
    - update unit tests to validate GUID fallback behavior
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * fix sample
    
    * fix cross partition query
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • [BREAKING] Add response filter for store input in *Providers (#4327)
    * Add response filter for store input for *Providers
    
    * Apply suggestions from code review
    
    Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
    
    * Address feedback
    
    * Apply suggestions from code review
    
    Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
    Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
  • Python: Add regression tests for Entry JoinExecutor Workflow.Inputs initialization (#4335)
    * Python: Add regression tests for #3948 - Entry JoinExecutor initializes Workflow.Inputs
    
    Add tests verifying that when workflow.run() is called with a dict or string
    input, the Entry node (JoinExecutor with kind: 'Entry') correctly initializes
    Workflow.Inputs via _ensure_state_initialized so that:
    - Expressions like =inputs.age resolve to the correct value
    - Conditions like =Local.age < 13 evaluate based on actual input (not blank/0)
    - String inputs populate both inputs.input and System.LastMessage.Text
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Apply pre-commit auto-fixes
    
    * Fix D420 and RUF070 lint errors across packages
    
    * Revert _workflow.py yield-inside-context-manager changes
    
    Moving yield inside `with _framework_event_origin()` blocks in the
    async generator causes ContextVar token reset failures on Python 3.12
    Windows. The token stays un-reset while the generator is suspended,
    and async generator finalization in a different contextvars.Context
    triggers ValueError, corrupting OpenTelemetry span state and causing
    test_span_creation_and_attributes to see leaked spans.
    
    Keep yields outside the context manager blocks to ensure tokens are
    reset immediately before the generator suspends.
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Add auto_retry.py sample for rate limit handling (#4223)
    * Initial plan
    
    * Add auto_retry.py sample for rate limiting handling
    
    Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>
    
    * Update auto_retry sample to use class decorator for get_response retries
    
    Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>
    
    * Address review feedback on auto_retry sample header and wrapper usage
    
    Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>
    
    * Restore class-decorator retry sample and address reviewer feedback
    
    Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
    Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>
  • Python: fix(python): Handle thread.message.completed event in Assistants API streaming (#4333)
    * fix: handle thread.message.completed event in Assistants API streaming
    
    Previously, `thread.message.completed` events fell through to the
    catch-all `else` branch and yielded empty `ChatResponseUpdate` objects,
    silently discarding fully-resolved annotation data (file citations,
    file paths, and their character-offset regions).
    
    This commit adds a dedicated handler for `thread.message.completed`
    that:
    - Walks the completed ThreadMessage.content array
    - Extracts text blocks with their fully-resolved annotations
    - Maps FileCitationAnnotation and FilePathAnnotation to the
      framework's Annotation type with proper TextSpanRegion data
    - Yields a ChatResponseUpdate containing the complete text and
      annotations
    
    Fixes #4322
    
    * test: add tests for thread.message.completed annotation handling
    
    Tests cover:
    - File citation annotation extraction
    - File path annotation extraction
    - Multiple annotations on a single text block
    - Text-only messages (no annotations)
    - Non-text blocks are skipped
    - Mixed content blocks (text + image)
    - Conversation ID propagation
    
    * fix: address Copilot review - add quote field and log unrecognized annotations
    
    - Include `quote` from `annotation.file_citation.quote` in
      `additional_properties` for FileCitationAnnotation, preserving the
      exact cited text snippet from the source file
    - Add `else` clause to log unrecognized annotation types at debug level,
      consistent with the pattern in `_responses_client.py`
    - Add `import logging` and module-level logger
    
    * test: add coverage for quote field and unrecognized annotation logging
    
    - test_message_completed_with_file_citation_quote: verifies quote is
      included in additional_properties
    - test_message_completed_with_file_citation_no_quote: verifies quote
      is omitted when None
    - test_message_completed_unrecognized_annotation_logged: verifies
      unknown annotation types are logged at debug level and skipped
    
    * fix: address reviewer nits — logger name convention + annotation type string
    
    Per @giles17's review:
    - Use logging.getLogger('agent_framework.openai') to match module convention
    - Simplify debug message to use annotation.type instead of type().__name__
    
    * refactor: move message.completed tests into consolidated test file
    
    Per @giles17's review: moved all tests from test_assistants_message_completed.py
    into test_openai_assistants_client.py and deleted the standalone file.
    
    * fix: resolve mypy no-redef and ruff RET504 lint errors
    
    - Remove duplicate type annotation for 'ann' variable (no-redef)
    - Return directly from fixture instead of unnecessary assignment (RET504)
    
    * fix: rename annotation variable in completed block to fix mypy type conflict
    
    The 'annotation' loop variable in thread.message.completed has type
    FileCitationAnnotation | FilePathAnnotation, which conflicts with the
    delta block's 'annotation' of type FileCitationDeltaAnnotation |
    FilePathDeltaAnnotation. Renamed to 'completed_annotation' to avoid
    mypy 'Incompatible types in assignment' error.
    
    * fix: remove quote field from FileCitationAnnotation handling
    
    ---------
    
    Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com>
  • Python: fix(python): Use AgentResponse.value instead of model_validate_json in HITL sample (#4405)
    * fix(python): use AgentResponse.value instead of model_validate_json in HITL sample
    
    Since the agent is configured with response_format=GuessOutput, the
    AgentResponse already provides .value with the parsed Pydantic model.
    Using .value is more idiomatic and avoids redundant JSON parsing.
    
    Fixes #4396
    
    * fix: add safety guard for AgentResponse.value being None
    
    Address Copilot review feedback: .value is optional and may be None
    if response_format isn't propagated through the streaming path.
    Add an explicit None check with a clear error message.
  • Bump uv from 0.10.5 to 0.10.7 in /python (#4393)
    Bumps [uv](https://github.com/astral-sh/uv) from 0.10.5 to 0.10.7.
    - [Release notes](https://github.com/astral-sh/uv/releases)
    - [Changelog](https://github.com/astral-sh/uv/blob/main/CHANGELOG.md)
    - [Commits](https://github.com/astral-sh/uv/compare/0.10.5...0.10.7)
    
    ---
    updated-dependencies:
    - dependency-name: uv
      dependency-version: 0.10.7
      dependency-type: direct:development
      update-type: version-update:semver-patch
    ...
    
    Signed-off-by: dependabot[bot] <support@github.com>
    Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
  • Bump poethepoet from 0.42.0 to 0.42.1 in /python (#4392)
    Bumps [poethepoet](https://github.com/nat-n/poethepoet) from 0.42.0 to 0.42.1.
    - [Release notes](https://github.com/nat-n/poethepoet/releases)
    - [Commits](https://github.com/nat-n/poethepoet/compare/v0.42.0...v0.42.1)
    
    ---
    updated-dependencies:
    - dependency-name: poethepoet
      dependency-version: 0.42.1
      dependency-type: direct:development
      update-type: version-update:semver-patch
    ...
    
    Signed-off-by: dependabot[bot] <support@github.com>
    Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
  • Bump prek from 0.3.3 to 0.3.4 in /python (#4391)
    Bumps [prek](https://github.com/j178/prek) from 0.3.3 to 0.3.4.
    - [Release notes](https://github.com/j178/prek/releases)
    - [Changelog](https://github.com/j178/prek/blob/master/CHANGELOG.md)
    - [Commits](https://github.com/j178/prek/compare/v0.3.3...v0.3.4)
    
    ---
    updated-dependencies:
    - dependency-name: prek
      dependency-version: 0.3.4
      dependency-type: direct:development
      update-type: version-update:semver-patch
    ...
    
    Signed-off-by: dependabot[bot] <support@github.com>
    Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
  • Bump ruff from 0.15.2 to 0.15.4 in /python (#4390)
    Bumps [ruff](https://github.com/astral-sh/ruff) from 0.15.2 to 0.15.4.
    - [Release notes](https://github.com/astral-sh/ruff/releases)
    - [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
    - [Commits](https://github.com/astral-sh/ruff/compare/0.15.2...0.15.4)
    
    ---
    updated-dependencies:
    - dependency-name: ruff
      dependency-version: 0.15.4
      dependency-type: direct:development
      update-type: version-update:semver-patch
    ...
    
    Signed-off-by: dependabot[bot] <support@github.com>
    Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
  • Bump rollup (#4386)
    Bumps [rollup](https://github.com/rollup/rollup) from 4.52.4 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/v4.52.4...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>
  • Bump rollup in /python/samples/demos/ag_ui_workflow_handoff/frontend (#4284)
    Bumps [rollup](https://github.com/rollup/rollup) from 4.57.1 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/v4.57.1...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>
  • .NET: AzureAI Package - Skip tool validation when UseProvidedChatClientAsIs is true (#4389)
    * Skip tool validation when UseProvidedChatClientAsIs is true (#3855)
    
    When GetAIAgentAsync is called with ChatClientAgentOptions.UseProvidedChatClientAsIs = true,
    skip requireInvocableTools validation so users can handle function calls manually
    via custom ChatClient middleware without needing to provide matching AIFunction tools.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Simplify requireInvocableTools expression per review feedback
    
    UseProvidedChatClientAsIs is a non-nullable bool, so use ! operator
    instead of != true for clarity.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Decouple tool matching from validation and add tool preservation test (#3855)
    
    Always match provided AIFunctions to server-side function definitions
    regardless of requireInvocableTools flag. Only throw when validation
    is required and no match is found. This ensures UseProvidedChatClientAsIs
    still preserves user-provided AIFunction tools instead of falling back
    to the broken ResponseToolAITool wrapper.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • .NET: Skip OffThread observability test (#4399)
    * Skip flaky OffThread observability test
    
    Temporarily skip CreatesWorkflowEndToEndActivities_WithCorrectName_OffThreadAsync
    due to intermittent failures. Tracked in #4398.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Update dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs
    
    Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
  • .NET: AuthN & AuthZ sample with asp.net service and web client (#4354)
    * Add sample demonstrating authentication and user access in agent tools
    
    * Add fixes to enable running on windows
    
    * Add launchsettings, add docker-compose to slnx and fix formatting
    
    * Switch to Expenses rather than todo based sample and address PR comments
    
    * Rename sample
    
    * Fix formatting
  • .NET: Fixing issue with invalid node Ids when visualizing dotnet workflows. (#4269)
    * Fix Mermaid rendering errors in WorkflowVisualizer.ToMermaidString
    
    Fix two bugs in the Mermaid diagram output:
    
    1. Use safe node aliases (node_0, node_1, ...) instead of raw executor IDs
       as Mermaid node identifiers. Raw IDs containing spaces, dots, or
       non-ASCII characters (e.g. Japanese) caused Mermaid parse errors.
    
    2. Fix conditional edge arrow syntax from '.--> ' (invalid) to '.-> '
       (valid Mermaid dotted arrow syntax).
    
    Fixes #1406
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Use recognizable sanitized IDs for Mermaid node identifiers\n\nReplace generic node_0/node_1 aliases with IDs derived from the original\nexecutor names. ASCII letters, digits, and underscores are preserved;\nother characters become underscores (collapsed, trimmed). Leading digits\nget an n_ prefix. Collisions are resolved with a numeric suffix.\n\nThis keeps node IDs readable in the Mermaid source while the display\nlabels continue to show the full original names."
    
    * Remove issue number references from test names and comments"
    
    * Address PR review feedback from Copilot\n\n- Add Throw.IfNull(id) guard to SanitizeMermaidNodeId\n- Add safety limit (10,000) to collision resolution loop\n- Restore missing edge assertions (middle1/middle2 --> end)\n- Fix comment to show actual sanitized ID (n_1_User_input)\n- Use stricter regex in Unicode test (must start with letter/underscore)"
    
    * Address second round of PR review feedback\n\n- Escape node display labels via EscapeMermaidLabel to handle quotes,\n  brackets, and newlines in executor IDs\n- Fix XML doc on SanitizeMermaidNodeId to accurately describe that\n  existing consecutive underscores in input are preserved\n- Restore specific edge assertion (mid --> end) in conditional edge test\n- Restore fan-in routing assertions (s1/s2 through intermediate node,\n  no direct edges to t) in fan-in test"
    
    ---------
    
    Co-authored-by: alliscode <bentho@microsoft.com>
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Fix samples discovered by auto validation pipeline (#4355)
    * Fix samples discovered by auto validation pipeline
    
    * Update python/samples/02-agents/devui/in_memory_mode.py
    
    Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
  • Python: Fix walrus operator precedence for model_id kwarg in AzureOpenAIResponsesClient (#4310)
    * Fix walrus operator precedence for model_id in AzureOpenAIResponsesClient (#4299)
    
    Add parentheses around the walrus assignment so model_id receives the
    actual string value instead of the boolean result of
    `kwargs.pop(...) and not deployment_name`.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address review: replace walrus with explicit None check, add edge-case tests (#4299)
    
    - Replace walrus operator with explicit assignment and 'is not None'
      check to avoid boolean-coercion pitfalls (empty string now correctly
      surfaces as ValueError instead of silently falling back)
    - Add test: deployment_name takes precedence over model_id kwarg
    - Add test: model_id='' raises ValueError
    - Add test: model_id=None falls back to env var
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Add explicit validation for empty model_id in AzureOpenAIResponsesClient
    
    Reject empty or whitespace-only model_id with ValueError instead of
    silently passing an empty deployment name downstream. This ensures the
    test_init_model_id_kwarg_empty_string test correctly validates behavior
    defined in production code rather than relying on downstream validation.
    
    Addresses PR review feedback for #4299.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Simplify model_id handling using walrus operator
    
    Addresses review comment on PR #4310.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Restore explicit model_id validation to fix test failures (#4299)
    
    The walrus operator refactor silently dropped the empty-string validation,
    causing test_init_model_id_kwarg_empty_string to fail. Restore the explicit
    None check and ValueError raise for empty model_id.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Revert "Restore explicit model_id validation to fix test failures (#4299)"
    
    This reverts commit 1d2965fff6.
    
    * Revert to walrus operator fix per review feedback
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • .Net: Add additional Hosted Agent Samples (#4325)
    * Add 3 new hosted agent samples: AgentWithTools, AgentWithLocalTools, AgentThreadAndHITL
    
    - AgentWithTools: Foundry tools (MCP + code interpreter) via UseFoundryTools
    - AgentWithLocalTools: Local C# function tool (Seattle hotel search) with AIProjectClient
    - AgentThreadAndHITL: Human-in-the-loop with ApprovalRequiredAIFunction and thread persistence
    
    All samples follow agent-framework conventions (net10.0, AzureCliCredential, CPM disabled).
    AgentWithTools includes comprehensive README with setup guide and troubleshooting.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Add root HostedAgents README, replace test_requests.py with .http, update sample READMEs
    
    - Create root README.md with shared prerequisites, Azure AI Foundry setup,
      troubleshooting, and samples index
    - Replace test_requests.py with run-requests.http in AgentThreadAndHITL
    - Add pointer to root README in all 6 sample READMEs
    - Trim AgentWithTools README to concise style
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix dotnet format issues in AgentWithLocalTools/Program.cs
    
    - Add UTF-8 BOM (CHARSET)
    - Sort System.ClientModel.Primitives import alphabetically (IMPORTS)
    - Use target-typed new for AIProjectClient (IDE0090)
    - Add internal accessibility modifier to Hotel record (IDE0040)
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address PR review: align model names and package versions
    
    - Change default model from gpt-4.1-mini to gpt-4o-mini in AgentWithLocalTools
      (Program.cs, agent.yaml, README.md) to match existing samples
    - Change README example from gpt-5.2 to gpt-4o-mini in AgentWithTools and root README
    - Align AgentWithLocalTools package versions with other samples:
      Azure.AI.AgentServer.AgentFramework beta.6 -> beta.8
      Azure.AI.OpenAI 2.8.0-beta.1 -> 2.7.0-beta.2
      Microsoft.Extensions.AI.OpenAI 10.2.0-preview -> 10.1.1-preview
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Upgrade new samples to latest package versions
    
    - Azure.AI.OpenAI: 2.7.0-beta.2 -> 2.8.0-beta.1
    - Microsoft.Extensions.AI.OpenAI: 10.1.1-preview -> 10.3.0
    
    Aligns with AgentWithHostedMCP which uses the latest versions.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Pin AgentThreadAndHITL to Microsoft.Extensions.AI.OpenAI 10.1.1
    
    Azure.AI.AgentServer.AgentFramework beta.8 was compiled against
    Microsoft.Extensions.AI.Abstractions with the single-param
    FunctionApprovalRequestContent.CreateResponse(bool). Version 10.3.0
    changed the signature to include an optional reason parameter, causing
    a binary incompatibility at runtime. Pin to 10.1.1 until the framework
    is recompiled against the newer abstractions.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: .NET: Fix .NET conversation memory in DevUI (#3484) (#4294)
    * Fix .NET conversation memory in DevUI (#3484)
    
    * formatting fixes
    
    * fix memory regression in python devui , fix for #4123
    
    * Fix for #3983: Added _get_event_type() helper that safely accesses event type on both objects (.type) and dicts (.get("type")). Replaced all 4 bare event.type accesses in _executor.py (lines 267, 477, 499, 523).
    
    Root cause: PR #3690 changed event.__class__.__name__ == "RequestInfoEvent" (safe) to event.type == "request_info" (crashes on dicts), but _execute_workflow still yields raw dicts on error paths.
    
    Test: test_workflow_error_yields_dict_event_without_crash — mocks a workflow that raises, verifies execute_entity consumes the dict error events without crashing.
    
    * format fixes
    
    * lint fixes
  • Python: Fix executor handler type resolution when using from __future__ import annotations (#4317)
    * Python: Fix Executor handler type checking with __future__ annotations (#3898)
    
    Use typing.get_type_hints() in _validate_handler_signature to resolve
    string annotations from `from __future__ import annotations`. This
    mirrors the fix applied to FunctionExecutor in #2308.
    
    When __future__ annotations are enabled, type annotations are stored as
    strings. The handler decorator was passing these strings directly to
    validate_workflow_context_annotation, which uses typing.get_origin and
    returns None for strings, causing a ValueError.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address PR review feedback for #3898: improve error handling and test coverage
    
    - Wrap typing.get_type_hints() in try/except to provide a descriptive
      ValueError mentioning the handler name when annotations cannot be resolved
    - Strengthen bare context test to assert output_types and workflow_output_types
    - Add test for @handler(input=..., output=...) with future annotations
      covering the skip_message_annotation branch
    - Add test for union-type context annotations with future annotations
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Narrow exception catch and add test for unresolvable annotations (#3898)
    
    - Narrow except clause from bare Exception to (NameError, AttributeError,
      TypeError) to avoid masking unexpected errors.
    - Add test_handler_unresolvable_annotation_raises to verify that a handler
      with a forward-reference to a non-existent type raises ValueError with
      the expected message.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix #3898: fall back to raw annotations when get_type_hints fails
    
    When typing.get_type_hints(func) raises NameError (unresolvable forward
    ref), AttributeError, RecursionError, or any other exception, fall back
    to the raw parameter annotations instead of raising a ValueError.
    This matches the suggestion from @moonbox3 on PR #4317.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix test to match new fallback behavior when get_type_hints fails (#3898)
    
    The code now falls back to raw string annotations instead of raising
    'Failed to resolve type annotations'. A ValueError is still raised when
    the raw string ctx annotation is not a valid WorkflowContext type, so
    update the test to match on ValueError without checking the message.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Apply pyupgrade: remove unnecessary string annotation quote
    
    * Add noqa for intentionally undefined name in annotation test
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Tuning auto sample validation workflow (#4218)
    * Tuning validate-01-get-started
    
    * Add gh token
    
    * Add model
    
    * enable debug log
    
    * bump up timeout for testing purposes
    
    * Test cli is working
    
    * Fix end quote
    
    * Run gh auth
    
    * Run gh auth trail 2
    
    * Run gh auth trail 3
    
    * Test token
    
    * Add zcure login
    
    * Add zcure login 2
    
    * Add zcure login 3
    
    * Add zcure login 4
    
    * Extract common actions
    
    * Extract common actions 2
    
    * Correct env vars
    
    * Print outputs to action console
    
    * Disable end-to-end samples
    
    * Fix ruff errors
    
    * Fix ruff errors 2
    
    * Revert workflow changes to fix tests
    
    * Revert workflow changes to fix tests 2
    
    * Revert workflow changes to fix tests 3
    
    * Revert workflow changes to fix tests 4
  • Python: Fix agent option merge to support dict-defined tools (#4314)
    * Fix _merge_options dropping dict-defined tools (#4303)
    
    _merge_options used getattr(tool, 'name', None) to de-duplicate tools,
    which returns None for dict-style tool definitions. This caused all
    override dict tools to be treated as duplicates of each other and of any
    base dict tools, silently dropping them.
    
    Add _get_tool_name() helper that extracts the name from both object-style
    tools (via .name attribute) and dict-style tools (via tool['function']['name']).
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address review: fix None dedup bug and add comprehensive tests (#4303)
    
    - Exclude None from existing_names set so nameless/malformed tools are
      not silently deduplicated against each other
    - Add test for cross-type dedup (dict tool + object tool with same name)
    - Add test verifying nameless tools are preserved (not falsely deduped)
    - Add unit tests for _get_tool_name edge cases: missing function key,
      non-dict function value, missing name, no name attribute, non-dict
      inputs, and valid dict/object tools
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Fix single-tool input handling in OpenAIResponsesClient._prepare_tools_for_openai (#4312)
    * Fix OpenAIResponsesClient mishandling single-tool inputs (#4304)
    
    Use normalize_tools() in _prepare_tools_for_openai to wrap single tools
    (FunctionTool or dict) in a list before iteration, consistent with the
    chat client implementation.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address PR review feedback for #4304
    
    - Use precise type annotation matching normalize_tools/OpenAIChatClient signature
      instead of collapsed Sequence[Any] | Any | None
    - Move emptiness guard after normalize_tools() call so single falsy tool
      objects are not silently swallowed
    - Import ToolTypes for the type annotation
    - Expand test_prepare_tools_for_openai_single_function_tool assertions to
      verify parameters, strict, and parameter schema fields
    - Add test_prepare_tools_for_openai_none to verify None input returns []
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Fix WorkflowAgent not persisting response messages to session history (#1694) (#4319)
    WorkflowAgent._run_impl() and _run_stream_impl() did not set
    session_context._response before calling _run_after_providers().
    This caused InMemoryHistoryProvider.after_run() to see context.response
    as None, so response messages were never stored in the session.
    
    On subsequent runs, the workflow only received prior user inputs without
    assistant responses, breaking multi-turn conversations.
    
    Fix: Set session_context._response to the workflow result before running
    after_run providers, matching the behavior of the regular Agent class.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Map file citation annotations from TextDeltaBlock in Assistants API streaming (#4316) (#4320)
    During Assistants API streaming, TextDeltaBlock.text.annotations was
    ignored when creating Content objects. This caused raw placeholder
    strings like 【4:0†source】 to pass through to downstream consumers
    (including AG-UI) instead of being resolved to citation metadata.
    
    Map FileCitationDeltaAnnotation and FilePathDeltaAnnotation from
    delta_block.text.annotations to Annotation objects on the Content,
    consistent with the existing patterns in _responses_client.py and
    _chat_client.py.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Preserve workflow run kwargs when continuing with run(responses=...) (#4296)
    * fix(python): preserve workflow run kwargs on response continuation (#4293)
    
    When continuing a paused workflow with run(responses=...), the existing
    run kwargs stored in state were unconditionally overwritten with an empty
    dict. This caused subsequent agent invocations to lose the original run
    context (e.g., custom_data, user tokens).
    
    Now kwargs are only overwritten when:
    - New kwargs are explicitly provided (override), or
    - State was just cleared for a fresh run (initialize to {})
    
    On continuation without new kwargs, existing kwargs are preserved.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address PR review feedback for #4293
    
    - Use consistent get_state(key, {}) default pattern in _agent_executor.py
      and _workflow_executor.py instead of get_state(key) or {} to safely
      handle missing WORKFLOW_RUN_KWARGS_KEY
    - Add test for empty-value kwargs on continuation (custom_data={}) to
      verify the is-not-None boundary between overwrite and preserve
    - Add test for reset_context=True with no kwargs to exercise the elif
      branch that initializes WORKFLOW_RUN_KWARGS_KEY to {}
    - Add len assertion to override test for consistency
    - Document kwargs-collapsing behavior at the public API call site
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Strip reserved kwargs in AgentExecutor to prevent duplicate-argument TypeError (#4298)
    * Python: Strip reserved kwargs in AgentExecutor to prevent collision (#4295)
    
    workflow.run(session=...) passed 'session' through to agent.run() via
    **run_kwargs while AgentExecutor also passes session=self._session
    explicitly, causing TypeError: got multiple values for keyword argument.
    
    _prepare_agent_run_args now strips reserved params (session, stream,
    messages) from run_kwargs and logs a warning when they are present.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address PR review feedback for #4295
    
    - Use _RESERVED_RUN_PARAMS constant in stripping loop instead of
      hardcoded tuple to maintain single source of truth
    - Trim frozenset to only stripped keys (session, stream, messages);
      options and additional_function_arguments have separate merge logic
    - Fix caplog type annotation to use TYPE_CHECKING pattern
    - Assert options return value in reserved-kwarg stripping test
    - Add test for multiple reserved kwargs supplied simultaneously
    - Add integration test for messages= kwarg via workflow.run()
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Tighten HandoffBuilder to require Agent instead of SupportsAgentRun (#4301) (#4302)
    HandoffBuilder.participants() accepted SupportsAgentRun by API contract,
    but build() failed at runtime because _prepare_agent_with_handoffs()
    requires Agent instances for cloning, tool injection, and middleware.
    
    Fix: Update all public type hints, docstrings, and validation in
    HandoffBuilder and HandoffAgentExecutor to require Agent explicitly.
    The isinstance check is now performed early in participants() with a
    clear error message explaining why Agent is required.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Fix response_format resolution in streaming finalizer (#4291)
    * Python: Fix AgentResponse.value being None when streaming workflow (#3970)
    
    The streaming path in BaseAgent.run() used the raw 'options' parameter
    (passed by the caller) to bind response_format into the outer stream's
    finalizer. When response_format was set in default_options rather than
    runtime options, it was missing from the finalizer and value was None.
    
    Fix: Use the merged chat_options from the run context (via ctx_holder),
    matching the non-streaming path which already uses ctx['chat_options'].
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address review feedback for #3970: safer ctx access, add test coverage
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • .NET: AgentThread serialization alternatives ADR (#3062)
    * AgentThread serialization alternatives ADR
    
    * Update decision drivers.
    
    * Address some Copilot PR comments.
    
    * Fix typo.
    
    * Add ChatClientAgentThread to sample code
    
    * Address comments, rename ADR and update SLNX.
  • .NET: Add helpers to more easily access in-memory ChatHistory and make ChatHistoryProvider management more configurable. (#4224)
    * Add helpers to more easily access in-memory ChatHistory and make ChatHistoryProvider management more configurable.
    
    * Apply suggestion from @Copilot
    
    Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
  • .NET: Support hosted code interpreter for skill script execution (#4192)
    * support script execution by code interpretor
    
    * improve the instruction prompt
    
    * Add DefaultAzureCredential production warning to AgentSkills samples
    
    Add the standard three-line WARNING comment about DefaultAzureCredential
    production considerations to both AgentSkills sample Program.cs files,
    matching the convention used in all other GettingStarted/Agents samples.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * address pr review comments
    
    * address feedback
    
    * rename Skill* types to FileAgentSkill* prefix for consistency
    
    - Rename SkillFrontmatter -> FileAgentSkillFrontmatter
    - Rename SkillScriptExecutor -> FileAgentSkillScriptExecutor
    - Add FileAgentSkillScriptExecutionContext and FileAgentSkillScriptExecutionDetails
    - Update sample, provider, loader, and tests accordingly
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * reorder usings
    
    * use set for props initialization instead of init
    
    * rename HostedCodeInterpreterSkillScriptExecutor
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Update workflow orchestration samples to use AzureOpenAIResponsesClient (#4285)
    * Update workflow orchestration samples to use AzureOpenAIResponsesClient
    
    * Fix broken link
  • Python: Fix Bedrock embedding test stub missing meta attribute (#4287)
    * Fix Bedrock embedding test stub missing meta attribute
    
    * Increase test coverage so gate passes
  • Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092)
    * Python: .NET Samples - Restructure and Improve Samples (Feature Branch) (#4091)
    
    * Moved by agent (#4094)
    
    * Fix readme links
    
    * .NET Samples - Create `04-hosting` learning path step (#4098)
    
    * Agent move
    
    * Agent reorderd
    
    * Remove A2A section from README 
    
    Removed A2A section from the Getting Started README.
    
    * Agent fixed links
    
    * Fix broken sample links in durable-agents README (#4101)
    
    * Initial plan
    
    * Fix broken internal links in documentation
    
    Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
    
    * Revert template link changes; keep only durable-agents README fix
    
    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>
    
    * .NET Samples - Create `03-workflows` learning path step (#4102)
    
    * Fix solution project path
    
    * Python: Fix broken markdown links to repo resources (outside /docs) (#4105)
    
    * Initial plan
    
    * Fix broken markdown links to repo resources
    
    Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
    
    * Update README to rename .NET Workflows Samples section
    
    ---------
    
    Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
    Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
    
    * .NET Samples - Create `02-agents` learning path step (#4107)
    
    * .NET: Fix broken relative link in GroupChatToolApproval README (#4108)
    
    * Initial plan
    
    * Fix broken link in GroupChatToolApproval README
    
    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>
    
    * Update labeler configuration for workflow samples
    
    * .NET - Reorder Agents samples to start from Step01 instead of Step04 (#4110)
    
    * Fix solution
    
    * Resolve new sample paths
    
    * Move new AgentSkills and AgentWithMemory_Step04 samples
    
    * Fix link
    
    * Fix readme path
    
    * fix: update stale dotnet/samples/Durable path reference in AGENTS.md
    
    Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
    
    * Moved new sample
    
    * Update solution
    
    * Resolve merge (new sample)
    
    * Sync to new sample - FoundryAgents_Step21_BingCustomSearch
    
    * Updated README
    
    * .NET Samples - Configuration Naming Update (#4149)
    
    * .NET: Restore AzureFunctions index parity with ConsoleApps under DurableAgents samples (#4221)
    
    * Clean-up `05_host_your_agent`
    
    * Config setting consistency
    
    * Refine samples
    
    * AGENTS.md
    
    * Move new samples
    
    * Re-order samples
    
    * Move new project and fixup solution
    
    * Fixup model config
    
    * Fix up new UT project
    
    ---------
    
    Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>