Commit Graph

360 Commits

  • Python: [BREAKING] Remove deprecated kwargs compatibility paths (#4858)
    * [BREAKING] Remove deprecated kwargs compatibility paths
    
    Remove the deprecated kwargs compatibility shims across core agents, clients, tools, middleware, and telemetry.
    
    Keep workflow kwargs behavior intact in this branch and follow up separately in #4850.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix PR CI fallout for kwargs removal
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address PR review feedback
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * updates
    
    * Fix Azure AI CI fallout
    
    Remove the stale _get_current_conversation_id override from the Azure AI client after the OpenAI base helper was deleted.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * fixed new classes
    
    * Fix Assistants deprecated import gating
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix integration replay regressions
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Switch multi-agent hosting samples to Azure chat completions
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Simplify Azure multi-agent sample config
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • [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>
  • 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>
  • Python: [BREAKING] Reduce core dependencies and simplify optional integrations (#4904)
    * improved dependencies and some fixes
    
    * fix for mypy
    
    * improve mcp
  • 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>
  • 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>
  • [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
  • 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>
  • 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
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • Python: normalize empty MCP tool output to null (#4683)
    * Python: normalize empty MCP tool output to null
    
    * Python: hardcode null for empty MCP output
  • 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>
  • [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>
  • 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>
  • 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>
  • 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
  • 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>
  • 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>
  • Python: Fix executor_completed event with non-copyable raw_representation in mixed workflows (#4493)
    * Python: Fix `executor_completed` event with non-copyable raw_representation in mixed workflows
    
    Fixes #4455
    
    * fix(#4455): use class-level sets for deepcopy field exclusion
    
    - SerializationMixin.__deepcopy__: check type(self).DEFAULT_EXCLUDE
      instead of hardcoding 'raw_representation'
    - Content.__deepcopy__: add _SHALLOW_COPY_FIELDS class variable and
      check against it instead of hardcoding
    - Fix tautological assertion in test (was always True)
    - Add second excluded field to test to verify DEFAULT_EXCLUDE is
      respected generically
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Decouple __deepcopy__ from DEFAULT_EXCLUDE in SerializationMixin (#4455)
    
    Introduce _SHALLOW_COPY_FIELDS class variable in SerializationMixin to
    separate deep-copy semantics from serialization semantics. Previously,
    __deepcopy__ used DEFAULT_EXCLUDE to decide which fields to shallow-copy,
    conflating 'not serialized' with 'not safe to deep-copy'. A field added
    to DEFAULT_EXCLUDE purely for serialization (e.g. additional_properties)
    would be silently shared between original and copy.
    
    - Add _SHALLOW_COPY_FIELDS (default {'raw_representation'}) to
      SerializationMixin, matching the pattern already used by Content
    - Update __deepcopy__ to read from _SHALLOW_COPY_FIELDS instead of
      DEFAULT_EXCLUDE
    - Add test verifying DEFAULT_EXCLUDE fields are deep-copied unless
      also in _SHALLOW_COPY_FIELDS
    - Add test for Content._SHALLOW_COPY_FIELDS identity preservation
    - Add test for ChatResponse deep-copying additional_properties
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Add test for _SHALLOW_COPY_FIELDS and DEFAULT_EXCLUDE independence
    
    Add test_deepcopy_shallow_copy_fields_override_default_exclude to verify
    that a field in both DEFAULT_EXCLUDE and _SHALLOW_COPY_FIELDS is
    shallow-copied (controlled by _SHALLOW_COPY_FIELDS), while a field in
    DEFAULT_EXCLUDE only is still deep-copied. This addresses review comment
    #11 ensuring the two class variables control independent concerns.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Remove unnecessary local variable in __deepcopy__
    
    Inline cls._SHALLOW_COPY_FIELDS directly in the loop check instead of
    assigning to a local variable first, per review feedback.
    
    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: Fix store=False not overriding client default (#4569)
    * Fix store=False not overriding client default
    
    * Address comments
    
    * Fix unit tests
    
    * Fix integration tests
    
    * Fix tests
  • Auto-finalize ResponseStream on iteration completion (#4478)
    * Add multi-turn streaming sample and rename multi-turn samples
    
    - Rename 03_multi_turn.py to 03a_multi_turn.py
    - Add 03b_multi_turn_streaming.py showing streaming with session history
    - The new sample demonstrates calling get_final_response() after
      iterating the stream to persist conversation history
    - Update READMEs to reflect the new file names
    
    Closes #4447
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Auto-finalize ResponseStream on iteration completion
    
    When a ResponseStream is fully consumed via async iteration,
    automatically trigger finalization (finalizer + result hooks).
    This ensures session history is persisted in streaming multi-turn
    conversations without requiring an explicit get_final_response() call.
    
    - Add auto-finalize call in __anext__ on StopAsyncIteration
    - Guard inner stream finalization to prevent double-execution
    - Re-check _finalized after iteration in get_final_response()
    - Add tests for auto-finalization and streaming session history
    - Revert sample file renames from previous commit
    
    Closes #4447
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * README fix
    
    * Fix SIM102 lint: combine nested if statements
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Exclude conversation_id from chat completions API options (#4517)
    * Python: Exclude conversation_id from chat completions options (#4315)
    
    When a session with service_session_id is passed to an agent using the
    Chat Completions client, conversation_id leaked through _prepare_options()
    into AsyncCompletions.create(), causing an 'unexpected keyword argument'
    error. The Responses client already excluded conversation_id but the Chat
    Completions client did not.
    
    Added conversation_id to the exclusion set in _prepare_options().
    
    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>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Fix conversation-id propagation when chat_options is a dict (#4340)
    * Fix #4305: Handle dict chat_options in _update_conversation_id
    
    _update_conversation_id assumed chat_options had attribute access, but
    ChatOptions is a TypedDict (dict). When a dict was passed, setting
    .conversation_id raised AttributeError. Now checks isinstance(dict) and
    uses key access for dicts, falling back to attribute access for objects.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Address PR feedback: use Mapping ABC and add missing tests (#4305)
    
    - Use collections.abc.Mapping instead of dict for isinstance check in
      _update_conversation_id, making it more robust for non-dict mapping types.
    - Add test for object-style chat_options with optional options dict parameter.
    - Add test verifying existing conversation_id gets overwritten (idempotent).
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Remove unnecessary Mapping check in _update_conversation_id (#4305)
    
    chat_options is always a dict, so the isinstance(chat_opts, Mapping)
    check and the else branch for attribute-style access are dead code.
    Simplify to direct dict key assignment and remove object-style tests.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: [Breaking] Upgrade to azure-ai-projects 2.0+ (#4536)
    * Prepare azure-ai-projects 2.0 GA compatibility
    
    Add allow_preview support for internal AIProjectClient creation, keep backward compatibility for renamed SDK model classes, and align Azure AI/core paths and tests for GA validation workflows.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * upgrade to ai-project==2.0.0
    
    * Python: remove azure-ai-projects keyword-guard paths
    
    Assume azure-ai-projects 2.0+ in Azure AI client/provider/responses code paths by removing _supports_keyword_argument gating and related fallback branching.
    
    Also fix pyright typing in FoundryMemoryProvider memory store calls by using ResponseInputItemParam-typed items.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * check fixes
    
    * Python: remove unsupported foundry_features option
    
    Drop foundry_features from Azure AI client and provider surfaces because azure-ai-projects 2.0.0 does not expose that create_version parameter.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Python: add allow_preview to Foundry memory provider
    
    Propagate allow_preview when FoundryMemoryProvider constructs an AIProjectClient and update tests accordingly.
    
    Also finish wiring allow_preview through AzureAIClient-facing surfaces and related docs.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * aligning docstrings
    
    * udpated lock
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • [BREAKING] Python: Update github-copilot-sdk integration to use ToolInvocation/ToolResult types (#4551)
    * Update github_copilot package for github-copilot-sdk>=0.1.32 (#4549)
    
    - Update requires-python from >=3.10 to >=3.11
    - Remove Python 3.10 classifier
    - Update mypy python_version to 3.11
    - Update dependency to github-copilot-sdk>=0.1.32
    - Fix ToolResult API: use snake_case kwargs (text_result_for_llm,
      result_type) instead of camelCase (textResultForLlm, resultType)
    - Update test assertions to use attribute access on ToolResult
    - Add ToolResult type assertions to tool handler tests
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix tests to use ToolInvocation dataclass instead of plain dict (#4549)
    
    Update test_github_copilot_agent.py to pass ToolInvocation objects to tool
    handlers instead of plain dicts, matching the github-copilot-sdk>=0.1.32 API
    where ToolInvocation is a dataclass with an .arguments attribute.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Add regression tests for ToolInvocation contract (#4549)
    
    Add tests to lock in the new ToolInvocation-based calling convention:
    - test_tool_handler_rejects_raw_dict_invocation: verifies passing a raw
      dict (old calling convention) raises TypeError/AttributeError
    - test_tool_handler_with_empty_arguments: verifies ToolInvocation with
      empty arguments works correctly for no-arg tools
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Revert requires-python to >=3.10 to avoid breaking CI (#4549)
    
    The repo CI runs with Python 3.10 (uv sync --all-packages) and all other
    packages require >=3.10. Raising this package to >=3.11 would break the
    shared install flow. The SDK dependency version constraint (>=0.1.32) will
    enforce any Python version requirement from the SDK itself.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix min Python version for github_copilot package to >=3.11
    
    github-copilot-sdk>=0.1.32 requires Python>=3.11, which conflicts
    with the package's declared >=3.10 minimum, breaking uv sync.
    
    * Bump py version for GH workflows to 3.11, exclude GHCP sdk from 3.10 items
    
    * Fix uv command
    
    * Fixes
    
    * Update samples
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Propagated MCP isError flag through function middleware pipeline (#4511)
    * Propagated MCP isError flag through function middleware pipeline
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Small update
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Fix CI
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Forward runtime kwargs to skill resource functions (#4417)
    * support code skills
    
    * address pr review comments
    
    * address package and syntax checks
    
    * address pr review comments
    
    * address pr review comment
    
    * address failed check
    
    * rename agentskill and agetnskillprovider
    
    * move agent skills related assets to _skills.py
    
    * address pr review comments
    
    * address review comments
    
    * support kwargs
    
    * address pr review feedback
  • Python: Fix Python pyright package scoping and typing remediation (#4426)
    * Fix Python pyright package scoping and typing remediation
    
    Implements issue #4407 by removing the root pyright include, adding package-level pyright includes, and resolving pyright/mypy typing issues across Python packages. Also cleans unnecessary casts and applies line-level, rule-specific ignores where external libraries are too dynamic.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Reduce pyright cost in handoff cloning
    
    Simplify cloned_options construction in HandoffAgentExecutor to avoid expensive TypedDict narrowing/inference in _handoff.py, which was causing pyright to spend a long time in orchestrations.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * fix types
    
    * Fix lint and type-check regressions
    
    Resolve current Python package check failures across lint, pyright, and mypy after recent code changes, including purview/declarative pyright issues and multiple ruff simplification findings.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * fixed hooks
    
    * Stabilize package tests and test tasks
    
    Resolve cross-package non-integration test failures, simplify streaming type flow, harden locale/culture handling, and standardize package test poe tasks to exclude integration tests where applicable.
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * lots of small fixes
    
    * Fix current Python test regressions
    
    Address current failing unit tests in azure-ai, bedrock, and azure-cosmos while keeping Bedrock parsing logic inline (no new static helper methods).
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * small fixes
    
    * small fixes
    
    * removed pydantic from json
    
    * final updates
    
    * fix core
    
    * fix tests
    
    * fix obser
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Add propagate_session to as_tool() for session sharing in agent-as-tool scenarios (#4439)
    * Python: Add propagate_session parameter to as_tool() for session sharing
    
    Add opt-in session propagation in agent-as-tool scenarios. When
    propagate_session=True, the parent agent's AgentSession is forwarded
    to the sub-agent's run() call, allowing both agents to share session
    state (history, metadata, session_id).
    
    - Add propagate_session parameter to BaseAgent.as_tool() (default False)
    - Include session in additional_function_arguments so it flows to tools
    - Add 3 tests for propagation on/off and shared state verification
    - Add sample showing session propagation with observability middleware
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * Clarify propagate_session docstring per review feedback
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: [BREAKING] Support code-defined agent skills (#4387)
    * support code skills
    
    * address pr review comments
    
    * address package and syntax checks
    
    * address pr review comments
    
    * address pr review comment
    
    * address failed check
    
    * rename agentskill and agetnskillprovider
    
    * move agent skills related assets to _skills.py
    
    * address pr review comments
    
    * address review comments
  • Python: Fix MCP tools duplicated on second turn when runtime tools are present (#4432)
    * Fix MCP tools duplicated on second turn when runtime tools are present
    
    When AG-UI's collect_server_tools pre-expands MCP functions on turn 2
    (after the MCP server is connected), _prepare_run_context unconditionally
    appends them again from self.mcp_tools, duplicating every MCP tool.
    
    Skip MCP functions whose names already exist in the final tool list,
    following the same name-based dedup pattern used in _merge_options.
    
    Fixes #4381
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    * mypy fix
    
    * Remove issue-specific references from test docstring
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
    
    ---------
    
    Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
  • Python: Upgraded azure-ai-projects to 2.0.0b4 (#4438)
    * Upgraded azure-ai-projects to 2.0.0b4
    
    * Fixed tests
  • 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: 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
  • 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: 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: 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>