agent-framework

fix: resolve mypy redundant-cast errors while keeping pyright happy

Use cast(list[Any], x) with type: ignore[redundant-cast] comments to
satisfy both mypy (which considers casting Any redundant) and pyright
strict mode (which needs explicit casts to narrow Unknown types).

Also fix evaluator decorator check_name type annotation to be
explicitly str, resolving mypy str|Any|None mismatch.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

alliscode · 2026-03-20 15:25:07 -07:00

b0a15914bf

Foundry Evals integration for Python

Merged and refactored eval module per Eduard's PR review:

- Merge _eval.py + _local_eval.py into single _evaluation.py
- Convert EvalItem from dataclass to regular class
- Rename to_dict() to to_eval_data()
- Convert _AgentEvalData to TypedDict
- Simplify check system: unified async pattern with isawaitable
- Parallelize checks and evaluators with asyncio.gather
- Add all/any mode to tool_called_check
- Fix bool(passed) truthy bug in _coerce_result
- Remove deprecated function_evaluator/async_function_evaluator aliases
- Remove _MinimalAgent, tighten evaluate_agent signature
- Set self.name in __init__ (LocalEvaluator, FoundryEvals)
- Limit FoundryEvals to AsyncOpenAI only
- Type project_client as AIProjectClient
- Remove NotImplementedError continuous eval code
- Add evaluation samples in 02-agents/ and 03-workflows/
- Update all imports and tests (167 passing)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

alliscode · 2026-03-20 14:24:21 -07:00

45527eed29

Python: Aggregate token usage across tool-call loop iterations in invoke_agent span (#4739 )

* Fix invoke_agent span to aggregate token usage across LLM calls (#4062)

The FunctionInvocationLayer._get_response() loop was overwriting the
response on each iteration, so usage_details only reflected the last
chat completion call. Now tracks aggregated_usage across all iterations
using add_usage_details() and sets it on the returned response.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Apply pre-commit auto-fixes

* Remove reproduction report artifact

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Apply pre-commit auto-fixes

* Apply pre-commit auto-fixes

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-19 06:41:33 +00:00

bf8d9672e1

Python: Simplify Python Poe tasks and unify package selectors (#4722 )

* updated automation tasks and commands, with alias for the time being

* Restore aggregate test exclusions

Preserve the legacy all-tests scope for test --all by excluding lab and devui from the default aggregate sweep, while still allowing explicit package selection. Also ignore hidden/generated test directories such as .mypy_cache during aggregate discovery.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated versions in pre-commit

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-18 18:39:11 +00:00

f48c4512d3

Python: Fix ENABLE_SENSITIVE_DATA env var ignored when set after module import (#4743 )

* Python: Re-read env vars in configure_otel_providers and enable_instrumentation (#4119)

Fix ENABLE_SENSITIVE_DATA and VS_CODE_EXTENSION_PORT env vars being ignored
when load_dotenv() runs after module import. The module-level
OBSERVABILITY_SETTINGS singleton cached env state at import time, and
configure_otel_providers() / enable_instrumentation() never re-read from
os.environ when parameters were None.

Both functions now construct a fresh ObservabilitySettings() to pick up
current env vars when explicit parameters are not provided, matching the
existing behavior of the env_file_path branch.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review feedback for #4119: avoid throwaway ObservabilitySettings

- Add _read_bool_env/_read_int_env helpers to read env vars without
  constructing a full ObservabilitySettings (which calls create_resource())
- Replace ObservabilitySettings() in enable_instrumentation() and
  configure_otel_providers() else-branch with direct env reads
- Add enable_console_exporters parameter to configure_otel_providers()
  for override parity with enable_sensitive_data and vs_code_extension_port
- Propagate _resource and _executed_setup in the non-env_file_path branch
- Make existing tests hermetic (clear VS_CODE_EXTENSION_PORT and
  ENABLE_CONSOLE_EXPORTERS env vars)
- Add tests: enable_console_exporters env refresh, explicit param overrides
  for both enable_instrumentation() and configure_otel_providers()

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address remaining review feedback for #4119

- Refresh enable_console_exporters in enable_instrumentation() for
  consistency with configure_otel_providers(), so env var changes
  after import are picked up by both public API functions
- Make test_configure_otel_providers_reads_env_vs_code_port hermetic
  by clearing ENABLE_CONSOLE_EXPORTERS from the environment
- Add test_enable_instrumentation_reads_env_console_exporters to
  cover the new refresh behavior

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Remove unconditional enable_console_exporters overwrite from enable_instrumentation() (#4119)

enable_instrumentation() is documented as not configuring exporters, so
managing enable_console_exporters there was a leaky abstraction. The
unconditional _read_bool_env call silently reset the value to False when
ENABLE_CONSOLE_EXPORTERS was absent from env, clobbering any value
previously set by configure_otel_providers(enable_console_exporters=True).

- Remove the unconditional overwrite line from enable_instrumentation()
- Replace test_enable_instrumentation_reads_env_console_exporters with
  test_enable_instrumentation_does_not_touch_console_exporters
- Add regression test: enable_instrumentation() does not clobber a
  previously configured enable_console_exporters value
- Add test: explicit enable_sensitive_data param still leaves
  enable_console_exporters untouched

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-18 15:58:22 +00:00

acaf6b7054

Python: Fix missing methods on the Content class in durable tasks (#4738 )

* Fix Content serialization in DurableAgentStateUnknownContent (#4719)

DurableAgentStateUnknownContent.from_unknown_content() stored raw Content
objects without converting them to dicts, causing json.dumps to fail in
Azure Durable Functions' entity state serialization. This affected content
types not explicitly handled (e.g., mcp_server_tool_call/result).

The fix converts Content objects to dicts via to_dict() when storing in
DurableAgentStateUnknownContent, and restores them via Content.from_dict()
in to_ai_content().

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add to_json and from_json methods to Content class (#4719)

Add to_json() and from_json() methods to the Content class to match the
serialization interface provided by SerializationMixin on other model classes.
Also fix pre-existing pyright type errors in durabletask's
DurableAgentStateUnknownContent.to_ai_content().

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address PR review: add type guard, remove to_json, add fallback, and tests

- Remove Content.to_json() per reviewer request (comment 3)
- Add type guard in Content.from_json() for non-dict JSON (comments 1, 4)
- Wrap json.JSONDecodeError as ValueError for consistent exception contract
- Add try/except fallback in to_ai_content() for invalid Content dicts (comment 5)
- Add test_content_to_dict_exclude_none and test_content_to_dict_exclude_fields (comment 2)
- Add test_unknown_content_to_ai_content_fallback_on_invalid_type_dict (comment 5)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Apply pre-commit auto-fixes

* Address review feedback for #4719: review comment fixes

* Remove Content.from_json, move logic to consuming code (#4719)

Remove the from_json convenience method from Content class per review
feedback. This is the same trivial json.loads + from_dict wrapper as
to_json which was already removed. Consumers should call json.loads
and Content.from_dict directly.

Update tests to use Content.from_dict(json.loads(...)) pattern and
remove from_json-specific error handling tests (those errors are
already covered by json.loads and Content.from_dict).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-18 08:08:44 +00:00

705ed47a0b

Python: Reduce Azure chat client import overhead (#4744 )

* Reduce Azure chat client import overhead

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Azure chat client type annotations and add _parse_text_from_openai tests

- Move Choice and ChunkChoice imports under TYPE_CHECKING to avoid
  runtime import cost (from __future__ annotations is already present)
- Restore proper typed signature (Choice | ChunkChoice) instead of Any
- Add direct unit tests for _parse_text_from_openai covering:
  - Choice with message content
  - ChunkChoice with delta content
  - Refusal branch for both Choice and ChunkChoice
  - No content/no refusal returning None
  - None delta (async content filtering) returning None

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <copilot@github.com>

Eduard van Valkenburg · 2026-03-18 08:05:42 +00:00

192a283c9a

Python: fix thread serialization for multi-turn tool calls (#4684 )

* Python: strip fc_id from loaded history

* Move fc_id replay handling into Responses client

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Remove unnecessary pytest asyncio marker

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add Responses integration test for fc_id replay

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* removed old arg

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-17 10:00:04 +00:00

cdb51e6a41

Python: keep MCP cleanup on the owner task (#4687 )

* Python: keep MCP cleanup on owner task

* Avoid MCP owner task deadlocks

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix MCP owner-task timeout tests

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-14 13:54:05 +00:00

1b7940c91e

Python: normalize empty MCP tool output to null (#4683 )

* Python: normalize empty MCP tool output to null

* Python: hardcode null for empty MCP output

Eduard van Valkenburg · 2026-03-13 20:03:48 +00:00

052ba7be07

Python: chore(python): improve dependency range automation (#4343 )

* chore(python): improve dependency range automation

- tighten dependency bounds and coding standards guidance\n- add dependency range validation workflow, reporting, and issue automation\n- update related tests and dependency pins for compatibility

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated text and pyarrow

* new lock

* fixed workflow

* updated deps

* fix tiktoken

* chore(python): refine dependency validation workflows

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* docs(python): add high-level dependency validation comments

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* WIP

* added additional comments and excludes

* added dev dependency handling and workflow and updates to package ranges

* added readme and simplified commands

* fix markers

* chore(python): address dependency review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Tighten dependency bounds, remove stale overrides, restore Python 3.10 support

- Apply dependency bound policy across all packages: stable >=1.0 deps use
  >=floor,<next_major; pre-1.0/prerelease deps use validated hard-bounded ranges
- Remove stale root tool.uv.override-dependencies (uvicorn, websockets, grpcio)
- Lower github_copilot requires-python to >=3.10 with github-copilot-sdk gated
  behind python_version >= 3.11 marker; import raises ImportError on 3.10
- Skip github_copilot pyright/mypy/test tasks on Python <3.11
- Use version-conditional pyrightconfig for samples on Python 3.10
- Add compatibility fix in core responses client for older openai typed dicts
- Normalize uv.lock prerelease mode and refresh dev dependencies
- Update CODING_STANDARD.md, DEV_SETUP.md, and package management skill docs

Closes #902

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* small tweaks

* add note in workflow

* fix workflows and several versions

* fix duplicate

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-13 12:32:37 +00:00

50fdcbaf57

[BREAKING] Python: clean up kwargs across agents, chat clients, tools, and sessions (#4581 )

* Python: clean up kwargs across agents, chat clients, tools, and sessions (#3642)

Audit and refactor public **kwargs usage across core agents, chat clients,
tools, sessions, and provider packages per the migration strategy codified
in CODING_STANDARD.md.

Key changes:
- Add explicit runtime buckets: function_invocation_kwargs and client_kwargs
  on RawAgent.run() and chat client get_response() layers.
- Refactor FunctionTool to prefer explicit ctx: FunctionInvocationContext
  injection; legacy **kwargs tools still work via _forward_runtime_kwargs.
- Refactor Agent.as_tool() to use direct JSON schema, always-streaming
  wrapper, approval_mode parameter, and UserInputRequiredException
  propagation (integrates PR #4568 behavior).
- Remove implicit session bleeding into FunctionInvocationContext; tools
  that need a session must receive it via function_invocation_kwargs.
- Lower chat-client layers after FunctionInvocationLayer accept only
  compatibility **kwargs (client_kwargs flattened, function_invocation_kwargs
  ignored).
- Add layered docstring composition from Raw... implementations via
  _docstrings.py helper.
- Clean up provider constructors to use explicit additional_properties.
- Deprecation warnings on legacy direct kwargs paths.
- Update samples, tests, and typing across all 23 packages.

Resolves #3642

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* clarified docstring

* feedback fixes

* Add unit tests for _docstrings.py build/apply helpers

Tests cover: no docstring source, no extra kwargs, appending to existing
Keyword Args section, inserting after Args, inserting in plain docstrings,
multiline descriptions, ordering, and apply_layered_docstring.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add test for propagate_session TypeError on non-AgentSession values

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add tests for multi-content and empty UserInputRequiredException propagation

Cover the branching logic in _try_execute_function_calls for:
- Multiple user_input_request items in a single exception (extra_user_input_contents path)
- Empty contents list (fallback function_result path)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add tests for DurableAIAgent.get_session forwarding service_session_id

Verifies get_session correctly forwards service_session_id and session_id
to the executor's get_new_session, replacing the removed kwargs test.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Simplify ag-ui test stub to read session from client_kwargs only

Remove dual-mode detection (client_kwargs vs raw kwargs fallback) from
the test mock. Session is now read exclusively from client_kwargs,
matching the settled public calling convention.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated create and get sessions in durable

* fixed docstrings

* fix test

* updated session handling

* updated from main

* updated tests

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-13 08:58:32 +00:00

a4b9539b62

fix duplicate names between supplied tools and mcp servers (#4649 )

Eduard van Valkenburg · 2026-03-13 08:22:56 +00:00

b7990908fe

Python: Fix type hint for Case and Default (#3985 )

* Fix type hint for `Case` and `Default`

* Add test

---------

Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com>

Chinedum Echeta · 2026-03-13 08:17:24 +00:00

84bae0f42a

Python: Unify tool results as Content items with rich content support (#4331 )

* feat(python): allow @tool functions to return rich content (images, audio)

Add support for tool functions to return Content objects that the model can perceive natively. Closes #4272

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Anthropic logging + mypy fix

* Address PR review: fix MCP ordering, fold helper into from_function_result, fix Chat client

- Preserve original content order in MCP tool results instead of text-first
- Move _build_function_result logic into Content.from_function_result()
- Chat Completions: inject user message for rich items (API only supports string tool content)
- Update tests for ordering and new from_function_result behavior

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Use native Responses API multi-part output, warn+omit for Chat client

- Responses client: put rich items directly in function_call_output's
  output field as list (native API support) instead of user message injection
- Chat client: warn and omit rich items (API doesn't support multi-part
  tool results), matching Ollama/Bedrock pattern
- Unify test image: use sample_image.jpg across all integration tests
- Add Azure OpenAI Responses integration test
- Assert model describes house image to verify perception

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix lint: remove print statement, wrap long line

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback: bug fixes, single-pass MCP, unit tests

- Add isinstance guard in from_function_result for non-Content lists
- Fix Anthropic empty tool_content fallback to string result
- Fix Content(type='text', text=None) edge case in parse_result
- Rewrite MCP _parse_tool_result_from_mcp as single-pass (no index counters)
- Add Anthropic unit tests: data image, uri image, unsupported media, all-unsupported
- Add OpenAI Chat unit test: rich items warning and omission
- Add OpenAI Responses unit tests: function_result with/without items
- Add test_types tests: only-rich-items list, non-Content list fallback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix pyright errors: add type ignore comments for Any list iteration

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix mypy/pyright: ensure ToolExecutionException receives str

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix lint: remove duplicate test_prepare_options_excludes_conversation_id

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refactor: unify all tool results into Content items

* addressed copilot comments

* pyright fix

* small fix

* comments

* fix: address Copilot review - warnings, blob safety, dedup

- Add warning logs when rich content is dropped in Claude agent and
  MCP server handlers (matching Chat/Bedrock/Ollama pattern)
- Defensive blob URI construction: wrap plain base64 in data: prefix
- Simplify Chat client _prepare_content_for_openai to use content.result
- Simplify Responses client text-only path, remove redundant nesting
- Add test for plain base64 blob without data: prefix

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix token double-counting in compaction and address review comments

- Exclude items from _serialize_content() to prevent double-counting
  tokens when items mirrors result in function_result content
- Add rich content warning in GitHub Copilot agent tool handler
- Replace raw Content debug log with concise item count/type summary
- Update stale test comments about FunctionTool.invoke return type

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Giles Odigwe · 2026-03-12 22:30:09 +00:00

5e33deff45

Python: Fix missing status input for OpenAI responses API (#4626 )

* Fix missing status input for OpenAI responses API

* Fix mypy

* Address comments

* Remove raw_rep restore

* Do not set status if it's None

Tao Chen · 2026-03-11 21:20:23 +00:00

b1866bd279

Python: Implement annotation-based context compaction (#4469 )

* Implement annotation-based context compaction

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Handle missing compaction attributes in BaseChatClient

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix CI typing and bandit issues

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Optimize incremental compaction annotation pass

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refinement

* Python: add ToolResultCompactionStrategy and CompactionProvider

Add ToolResultCompactionStrategy that collapses older tool-call groups
into short summary messages (e.g. [Tool calls: get_weather]) while
keeping the most recent groups verbatim. This mirrors the .NET
ToolResultCompactionStrategy from PR #4533.

Add CompactionProvider as a context-provider that auto-applies compaction
before each agent turn and stores compacted history in session state
after each turn.

Includes tests and samples for both features.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* refinement and alignment with dotnet PR

* updated tool result compaction

* updated tool result compaction

* Python: add ToolResultCompactionStrategy, CompactionProvider, and skip_excluded

- ToolResultCompactionStrategy collapses older tool-call groups into
  [Tool results: func_name: result] summaries with bidirectional tracing
  (same pattern as SummarizationStrategy).
- CompactionProvider as BaseContextProvider with separate before_strategy
  and after_strategy parameters. before_strategy compacts loaded context;
  after_strategy compacts stored history via history_source_id.
- InMemoryHistoryProvider gains skip_excluded flag to filter out messages
  marked as excluded by compaction strategies.
- Tests, samples, and exports updated.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fixed checks

* fix mypy

* Fix: ensure summary messages from both strategies get full compaction annotations

SummarizationStrategy was not calling annotate_message_groups after
inserting its summary message, so the summary lacked core group
annotations (id, kind, index, has_reasoning, _excluded). Added the
missing call. ToolResultCompactionStrategy already had it.

Added tests verifying both strategies produce fully annotated summaries.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated propagation

* fix mypy

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Eduard van Valkenburg · 2026-03-11 19:23:00 +00:00

3e03a305f6

Prepare RC4 release (#4631 )

Dmytro Struk · 2026-03-11 18:53:38 +00:00

53b0753dfb

Python: Support skill scripts execution (#4558 )

* support skill scripts execution

* fix mixed line endings

* address comments and fix syntax issues

* use few try/except instead of one

* change samples

* validate either script path or script resource is set not both

* fix: separate LLM args from runtime kwargs in skill script execution

* address pr review comments

* address PR review comments

* Update python/packages/core/agent_framework/_skills.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/core/agent_framework/_skills.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/core/agent_framework/_skills.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* 1. Fixing the caching bug where parameters_schema would re-inspect on every call when the result was None
   2. Updating the arguments tool description to be more generic (not CLI-specific)

* fix failing tests

* address pr review comments

* address pr review comments

* allow resource function returning any instead of sting

* address PR review comments

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

SergeyMenshykh · 2026-03-11 18:28:30 +00:00

23ebfbc937

Python: Fix 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>

Evan Mattson · 2026-03-10 22:20:05 +00:00

e35f530f2e

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

Tao Chen · 2026-03-10 18:44:59 +00:00

55fc882ca8

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>

Giles Odigwe · 2026-03-09 22:29:09 +00:00

6cb2289a16

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>

Evan Mattson · 2026-03-09 17:03:50 +00:00

2aaca50217

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>

Evan Mattson · 2026-03-09 10:56:57 +00:00

f74bda5a83

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>

Eduard van Valkenburg · 2026-03-09 10:12:47 +00:00

23d6d91c8f

[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>

Evan Mattson · 2026-03-09 09:57:51 +00:00

d5e240b375

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>

Dmytro Struk · 2026-03-05 23:16:19 +00:00

8664d19285

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

SergeyMenshykh · 2026-03-05 18:01:25 +00:00

8bf4235f4e

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>

Eduard van Valkenburg · 2026-03-05 15:32:24 +00:00

55ddd841b7

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>

Giles Odigwe · 2026-03-04 23:14:17 +00:00

d02051dbb6

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

SergeyMenshykh · 2026-03-04 18:36:02 +00:00

4dad26fcae

Updated package versions (#4470 )

Dmytro Struk · 2026-03-04 16:49:48 +00:00

965a1ec103

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>

Giles Odigwe · 2026-03-04 00:21:01 +00:00

b0ac3939c1

Python: Upgraded azure-ai-projects to 2.0.0b4 (#4438 )

* Upgraded azure-ai-projects to 2.0.0b4

* Fixed tests

Dmytro Struk · 2026-03-04 00:11:41 +00:00

b5edb529b7

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>

Giles Odigwe · 2026-03-03 23:02:03 +00:00

2b3c401848

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

Tao Chen · 2026-03-03 21:52:05 +00:00

1a8729d5a7

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>

Amit Mukherjee · 2026-03-03 20:12:21 +00:00

fae36b36f2

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>

Dmytro Struk · 2026-03-03 16:22:15 +00:00

1c0ae4b659

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>

Evan Mattson · 2026-03-03 16:13:24 +00:00

dae3caa719

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>

L. Elaine Dazzio · 2026-03-03 04:07:00 +00:00

869e51fdce

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>

Evan Mattson · 2026-03-02 14:06:58 +00:00

c4f643a750

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

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Evan Mattson · 2026-02-27 02:59:57 +00:00

0d6b9d61a5

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

Tao Chen · 2026-02-27 11:45:10 +09:00

c45d47d4b2

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>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Evan Mattson · 2026-02-26 22:09:36 +00:00

54c0bea3b6

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>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Evan Mattson · 2026-02-26 22:09:28 +00:00

ff124c44a9

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>

Evan Mattson · 2026-02-26 22:07:58 +00:00

6f7e55c430

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>

Evan Mattson · 2026-02-26 22:07:23 +00:00

e0461b42c1

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>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Evan Mattson · 2026-02-26 20:57:04 +00:00

b46fe1c82e

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>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Evan Mattson · 2026-02-26 20:53:20 +00:00

823e714ccf

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

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Evan Mattson · 2026-02-26 18:28:14 +00:00

a033721ac2

350 Commits