* Filter empty AIContent from durable agent state responses
Prevent opaque AIContent objects (e.g., with only RawRepresentation set)
from being stored in durable entity state, where they serialize to empty
JSON payloads. Base AIContent instances are kept only if they have
Annotations or AdditionalProperties.
Fixes https://github.com/microsoft/agent-framework/issues/4481
* Update CHANGELOG.md and fix linter violation
* 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
* Python: A2AAgent defaults name/description from AgentCard
When an AgentCard is provided but name/description are not explicitly
set, A2AAgent now falls back to agent_card.name and agent_card.description.
This avoids redundant duplication when constructing A2AAgent instances,
especially in GroupChat orchestrations where name and description are
essential for routing decisions.
Explicit values still take precedence over card values.
Fixes#4630
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Use 'is None' checks instead of truthiness for name/description fallback
Ensures explicitly provided empty strings are not overridden by
agent_card values. Adds test for the empty string edge case.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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>
Bedrock's Converse API only accepts "auto", "any", or "tool" as valid
toolChoice keys. The previous code mapped tool_choice="none" to
{"none": {}}, which causes a botocore.exceptions.ParamValidationError.
When tool_choice="none" (set by FunctionInvocationLayer after exhausting
max iterations), the fix now omits toolConfig entirely so the model
won't attempt tool calls.
Added tests for tool_choice="none", "auto", and "required" modes.
Fixes#4529
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
* Use deepcopy for state snapshot to detect nested mutations (#4500)
Replace dict() shallow copy with copy.deepcopy() when snapshotting
workflow state before activity execution. The shallow copy shared
references to nested objects (dicts, lists), so in-place mutations by
executors were reflected in both the snapshot and live state, producing
an empty diff and preventing state updates from propagating to
downstream activities.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Fix state snapshot to use deepcopy so nested mutations are detected in durable workflow activities
Fixes#4500
* Address PR review: remove report, extract testable helpers (#4500)
- Delete REPRODUCTION_REPORT.md (debugging artifact with local paths
and raw LLM output)
- Extract _create_state_snapshot() and _compute_state_updates() as
module-level helpers in _app.py so tests exercise the production
code path
- Update TestStateSnapshotDiff to import and use production helpers
instead of reimplementing snapshot/diff logic locally
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Add regression tests proving shallow copy bug and deep copy isolation (#4500)
Add two additional tests to TestStateSnapshotDiff:
- test_shallow_copy_would_miss_nested_mutations: reproduces the original
bug by demonstrating that dict() (shallow copy) misses nested mutations
- test_create_state_snapshot_isolates_nested_objects: verifies the
production _create_state_snapshot helper creates a true deep copy
These tests ensure a regression back to shallow copy would be caught.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add integration test exercising full activity code path (#4500)
Address PR review comment: add test_executor_activity_detects_nested_state_mutations
that captures the actual executor_activity function from _setup_executor_activity
and verifies it detects in-place nested mutations. This test would fail if
_app.py line 314 regressed from _create_state_snapshot() back to dict().
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4518: review comment fixes
* Address PR review feedback for state snapshot diff
- Inline _compute_state_updates logic at call site to reuse precomputed
original_keys/current_keys sets, avoiding redundant set allocations
- Fix test docstring to describe behavioral regression instead of
hard-coding a specific line number
- Use SOURCE_ORCHESTRATOR constant in integration test instead of
literal string
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* fix: remove unused _compute_state_updates from _app.py (#4518)
The function was inlined per review comment, making the module-level
helper unused and triggering a pyright reportUnusedFunction error.
Move the helper into the test file where it is still needed for unit
testing the diffing logic.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
The DevUI /v1/responses endpoint accepts function_approval_response content
without verifying that the request_id corresponds to a real pending approval
request issued by the server. This allows forged approval responses to
execute arbitrary tools with attacker-controlled arguments, bypassing
approval_mode='always_require'.
Changes:
- Track outgoing approval requests in a server-side registry
(_pending_approvals) keyed by request_id
- Validate incoming approval responses against this registry; reject
any response whose request_id was not issued by the server
- Use server-stored function_call data (tool name, arguments, call_id)
instead of client-supplied data when constructing the approval response
- Consume request_ids on use (pop from registry) to prevent replay attacks
Tests:
- 8 new tests covering forged rejection, server-data enforcement,
anti-replay, multiple independent approvals, and edge cases
Co-authored-by: REDMOND\tusharmudi <tusharmudi@microsoft.com>
* Validate approval responses against server-side pending request registry
* improvements
* pin GHCP sdk version to non-breaking for now
* Pin CHCP sdk to LKG.
* really fix GHCP sdk pkg version
* Fix HITL approval validation security gaps and memory leak
- Validate rejected approval responses against pending_approvals registry,
not just approved ones. Fabricated rejections without a prior request are
now stripped from messages before reaching the LLM.
- Bound _pending_approvals with OrderedDict + LRU eviction (max 10k) to
prevent unbounded memory growth from abandoned approval requests.
- Skip registration when function_call.name is None/empty; log warning
when content.id or function_call is missing at registration time.
- Document pending_approvals parameter in run_agent_stream docstring.
- Add test for fabricated rejection attack scenario.
- Assert pending approval entry is preserved after function name mismatch.
- Pre-populate pending_approvals in rejection test for correct validation.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Extract function_approval_response from workflow messages (#4546)
_extract_responses_from_messages now handles function_approval_response
content in addition to function_result content. Previously, approval
responses sent via the messages field were silently dropped because the
function only checked for content.type == "function_result".
The approval response is keyed by content.id and includes the approved
status, id, and serialized function_call — consistent with how
_coerce_content identifies approval response payloads.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Fix#4546: Update docstring and add integration tests for message-based approvals
- Update _extract_responses_from_messages docstring to reflect that it
now handles function_approval_response content in addition to
function_result content.
- Add integration tests for run_workflow_stream across two turns with
approval responses provided via messages (function_approvals) rather
than resume.interrupts, covering both approved and denied scenarios.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review feedback for #4546
- Use safer 'not .get("interrupt")' assertion instead of 'not in'
to handle Pydantic v2 model_dump() including keys with None values
- Add unit test for mixed function_result and function_approval_response
in the same message to TestExtractResponsesFromMessages
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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
* 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>
* Suppress IL2026/IL3050 with targeted pragmas on affected methods
Add #pragma warning disable/restore for IL2026 and IL3050 only around
the specific methods where dotnet format incorrectly adds
[RequiresUnreferencedCode] and [RequiresDynamicCode] attributes despite
proper interceptors configuration in the csproj.
See https://github.com/dotnet/sdk/issues/51136
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Upgrade to .NET SDK 10.0.200 and remove IL2026/IL3050 workarounds
Bump global.json to SDK 10.0.200 which fixes the dotnet format bug
that incorrectly added [RequiresUnreferencedCode] and
[RequiresDynamicCode] attributes (https://github.com/dotnet/sdk/issues/51136).
Remove all #pragma warning disable IL2026/IL3050 workarounds from
source files and the --exclude-diagnostics flag from the CI format
workflow.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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>
* fix: prevent pickle deserialization of untrusted HITL input
Add strip_pickle_markers() to sanitize HTTP input before it reaches
pickle.loads() via the checkpoint decoding path. Applied as a 3-layer
defence-in-depth:
1. _app.py: sanitize req.get_json() at the HTTP boundary
2. _workflow.py: sanitize in _deserialize_hitl_response() before decode
3. _serialization.py: sanitize in reconstruct_to_type() as final guard
Any dict containing __pickled__ or __type__ markers from untrusted
sources is replaced with None, blocking arbitrary code execution via
crafted payloads to POST /workflow/respond/{instanceId}/{requestId}.
Includes 12 new unit tests covering the sanitizer and end-to-end
attack prevention.
* refactor: address review concerns for pickle fix
1. Remove deserialize_value() fallback in _deserialize_hitl_response
untrusted HITL data now returns as-is when no type hint is available,
never flowing into pickle.loads().
2. Move strip_pickle_markers() out of reconstruct_to_type() the function
is general-purpose again; untrusted-data callers are responsible for
sanitizing first (documented with NOTE comment).
3. Define _PICKLE_MARKER/_TYPE_MARKER as local constants with import-time
assertions against core's values decouples from private names while
failing loudly if core ever changes them.
4. Update tests to reflect new responsibility boundaries.
* fix: simplify warning message and fix ruff RUF001 lint
* fix: suppress pyright reportPrivateUsage on core marker imports
* Lower marker-strip log from warning to debug to avoid log flooding
* Replace assert with RuntimeError for marker sync checks (ruff S101)
* Fix pyright and ruff CI errors in security fix
- Use cast() for dict/list comprehensions in strip_pickle_markers (pyright)
- type: ignore for narrowed dict return in _workflow.py (pyright)
- Simplify marker imports: use core constants directly, remove local copies
- Remove duplicate pyright ignore comment
* Remove duplicate end-to-end test in TestStripPickleMarkers
* Suppress mypy redundant-cast on list cast needed by pyright
* Initial plan
* Fix broken Strands Agents documentation links in ADR 0001
Replace 5 broken strandsagents.com URLs (returning 404) with stable
GitHub source code links in docs/decisions/0001-agent-run-response.md.
The Strands Agents docs site restructured from /api-reference/python/
to /api/python/, breaking the old links.
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
* Update Strands Agents links to use official documentation site
Replace GitHub source links with official strandsagents.com/docs/api/python/
documentation URLs in docs/decisions/0001-agent-run-response.md.
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
* Update Strands Agents links to use specific documentation URLs
- Streaming: strandsagents.com/docs/user-guide/concepts/streaming/
- Structured output: strandsagents.com/docs/user-guide/concepts/agents/structured-output/
- AgentResult/stop_reason: strandsagents.com/docs/api/python/strands.agent.agent_result/#agentresult
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
* Deduplicate Strands AgentResult link in stop-reason row
Replaced the duplicate hyperlink on `stop_reason` with inline code,
keeping a single AgentResult link to the same URL.
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com>
* Skip flaky CodeInterpreter integration tests in CI
The CreateAgent_CreatesAgentWithCodeInterpreter tests fail intermittently
because the Azure AI Code Interpreter service sometimes fails to read/execute
uploaded Python files. This causes all 4 integration test jobs to fail
consistently across both platforms (ubuntu/windows) and TFMs (net10.0/net472).
Mark both test variants with Skip to match the convention used by other
flaky tests in the suite (e.g., AzureAIAgentsPersistentStructuredOutputRunTests).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Skip flaky CodeInterpreter integration tests in CI
The CreateAgent_CreatesAgentWithCodeInterpreter tests fail intermittently
because the Azure AI Code Interpreter service sometimes fails to read/execute
uploaded Python files. This causes all 4 integration test jobs to fail
consistently across both platforms (ubuntu/windows) and TFMs (net10.0/net472).
Mark both test variants with Skip to match the convention used by other
flaky tests in the suite (e.g., AzureAIAgentsPersistentStructuredOutputRunTests).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Add A2A server sample and fix client streaming bug
Add a pure Python A2A server sample so testing the A2A client no longer
requires running the .NET server. The server uses the a2a-sdk's
A2AStarletteApplication with uvicorn and supports three agent types
(invoice, policy, logistics) backed by AzureOpenAIResponsesClient.
New files:
- a2a_server.py: Main server entry point with CLI args
- agent_executor.py: Bridges a2a-sdk AgentExecutor to Agent Framework
- agent_definitions.py: Agent and AgentCard factory definitions
- invoice_data.py: Mock invoice data and query tool functions
- a2a_server.http: REST Client requests for testing
Also fixes a streaming bug in agent_with_a2a.py where async with was
used on ResponseStream which does not support the async context manager
protocol. Changed to async for to match all other samples.
Closes#4045
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review: handle CancelledError and fix end_date filtering
- Re-raise asyncio.CancelledError before the broad exception handler
so cooperative cancellation is not swallowed.
- Make end_date filter inclusive of the full day by comparing with
< end + timedelta(days=1) instead of <= midnight.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
The sample was passing raw strings in a list to get_response(), which
expects Message objects. This caused an AttributeError since strings
don't have a 'role' attribute.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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>
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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>
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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>
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Eduard van Valkenburg
·
2026-03-09 10:12:47 +00:00
* 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
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>