* Emit tool call events in GitHubCopilotAgent streaming
_stream_updates now yields FunctionCallContent for TOOL_EXECUTION_START
and FunctionResultContent for TOOL_EXECUTION_COMPLETE events from the
Copilot SDK session. This enables DevUI and other consumers to display
tool calls during streaming agent execution. Previously only ASSISTANT_MESSAGE_DELTA, SESSION_IDLE, and SESSION_ERROR
were handled — tool execution events were silently dropped.
Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
* Add some tests
Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
* Respond to feedback
Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
* Fix TOOL_EXECUTION_COMPLETE to use correct SDK types
- Read result text from session_events.Result.content (not ToolResult.text_result_for_llm)
- Read failure state from event.data.success/error (not result_obj.result_type/error)
- Handle ErrorClass.message and plain string errors
- Update tests to use session_events.Result and ErrorClass
- Add tests for string errors, success-with-error, and COMPLETE missing fields
Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
---------
Signed-off-by: James Sturtevant <jsturtevant@gmail.com>
* [BREAKING] Refactor middleware layering and raw clients
Reorder chat client layers so function invocation wraps chat middleware, and chat middleware stays outside telemetry while still running for each inner model call. Add middleware pipeline caching, refresh docs and samples, and split Anthropic into raw and public clients to match the standard layering model.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Tighten typing ignores in ancillary modules
Add targeted typing ignores in workflow visualization and lab modules so pyright stays clean alongside the middleware refactor work.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix categorize_middleware to unpack tuple/Sequence and use relative MRO assertions
- Broaden isinstance check in categorize_middleware from list to Sequence
so tuples and other Sequence types are properly unpacked instead of
being appended as a single item.
- Replace fragile hardcoded MRO index assertions in anthropic test with
relative ordering via mro.index().
- Add regression tests for categorize_middleware with tuple, list, and
None inputs.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix middleware string decomposition, add middleware param to FunctionInvocationLayer, and add tests (#4710)
- Guard categorize_middleware Sequence check against str/bytes to prevent
character-by-character decomposition of accidentally passed strings
- Add explicit middleware parameter to FunctionInvocationLayer.get_response
and merge it into client_kwargs before categorization, fixing the
inconsistency where only OpenAIChatClient supported this parameter
- Add assertions that RawAnthropicClient does not inherit convenience layers
- Add chat middleware cache test with non-empty base middleware
- Add tests for single unwrapped middleware item and string input
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Apply pre-commit auto-fixes
* Address review feedback for #4710: review comment fixes
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <copilot@github.com>
* Emit TOOL_CALL_RESULT events on approval resume (#4589)
When a tool call is approved via the interrupt/resume flow,
_resolve_approval_responses executes the tool and injects the result
into the messages array, but no TOOL_CALL_RESULT SSE event was yielded
to the client.
Changes:
- _resolve_approval_responses now returns the list of resolved
function_result Content objects instead of None
- run_agent_stream yields ToolCallResultEvent for each resolved
approval result after RunStartedEvent is emitted
- Add ToolCallResultEvent to ag_ui.core imports in _agent_run.py
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* fix(ag-ui): address PR review feedback for #4589
1. _resolve_approval_responses now returns only approved results (not
rejections) so TOOL_CALL_RESULT events are emitted only for executed
tools. Rejection results are still written into message history.
2. Emit resolved TOOL_CALL_RESULT events in the no-updates fallback
RUN_STARTED path so approval results are never lost.
3. Rewrite tests to use real FunctionTool with func and
approval_mode='always_require' via StubAgent default_options,
verifying actual tool execution output in TOOL_CALL_RESULT content.
Added test for rejection not emitting TOOL_CALL_RESULT.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix#4589: clean up approval resolution and add missing tests
- Extract duplicated TOOL_CALL_RESULT emission block into
_make_approval_tool_result_events helper to prevent drift
- Remove dead rejection_results construction in _resolve_approval_responses;
_replace_approval_contents_with_results already handles rejections inline
- Pass only approved_results (not all_results) to clarify the contract
- Add mixed approve/reject test validating the core splitting logic
- Add zero-updates test covering the no-updates fallback emission path
- Add direct unit test for _resolve_approval_responses return value
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Fix import sorting lint error in test_approval_result_event.py
Add blank line between first-party and third-party import groups
to satisfy ruff I001 rule.
Fixes#4589
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: Emit AG-UI events for MCP tool calls, results, and text reasoning
Fixes#4213 — `_emit_content()` in the AG-UI layer only handled `text`,
`function_call`, `function_result`, `function_approval_request`, `usage`,
and `oauth_consent_request` content types. Foundry MCP content types
(`mcp_server_tool_call`, `mcp_server_tool_result`) and `text_reasoning`
fell through unhandled, producing no SSE events for AG-UI consumers.
Added three new handler functions wired into `_emit_content()`:
- `_emit_mcp_tool_call`: emits TOOL_CALL_START + TOOL_CALL_ARGS and
tracks in FlowState for MESSAGES_SNAPSHOT inclusion
- `_emit_mcp_tool_result`: emits TOOL_CALL_END + TOOL_CALL_RESULT with
full FlowState cleanup mirroring `_emit_tool_result`
- `_emit_text_reasoning`: emits the protocol-defined reasoning event
sequence (ReasoningStart → MessageStart → MessageContent → MessageEnd
→ ReasoningEnd) with ReasoningEncryptedValueEvent for protected_data
* Add HTTP round-trip tests for MCP tool and reasoning SSE events
Exercises the full POST → SSE bytes → parse → validate pipeline for
mcp_server_tool_call, mcp_server_tool_result, text_reasoning, and
ReasoningEncryptedValueEvent content through FastAPI TestClient.
* Fix _emit_mcp_tool_result missing predictive_handler support (#4213)
- Add predictive_handler parameter to _emit_mcp_tool_result and mirror
the apply_pending_updates + StateSnapshotEvent block from _emit_tool_result
- Forward predictive_handler from _emit_content to _emit_mcp_tool_result
- Add assertion for stored arguments in MCP tool call test
- Add test for predictive handler state snapshot after MCP tool result
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Refactor MCP tool emit functions and add missing tests (#4213)
- Extract _emit_tool_result_common shared helper to eliminate duplication
between _emit_tool_result and _emit_mcp_tool_result
- Remove server_name prefix from tool_call_name in _emit_mcp_tool_call;
display_name now equals tool_name directly
- Add test for tool_name fallback to 'mcp_tool' when tool_name is None
- Add test for output=None fallback to empty string in _emit_mcp_tool_result
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4213: review comment fixes
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add script to ping on stale issues/PRs
* Add script to ping on stale issues/PRs
* Fix stale issue/PR ping script review comments
- Rename TEAM_NAME env var to TEAM_SLUG for clarity
- Add actionable error messages for 403/404 team lookup failures
- Add contents:read permission for actions/checkout
- Use github.event.inputs context with fallback for scheduled runs
- Pin PyGithub to 2.6.0 for reproducible builds
- Fetch comments once in should_ping() to reduce API calls
- Make ping() retry loop idempotent (track comment/label state)
- Validate DAYS_THRESHOLD with helpful error for non-numeric input
- Fix timezone bug: use astimezone() instead of replace(tzinfo=)
- Add comprehensive unit tests (29 tests)
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>
* Support detail field in OpenAI image_url payload (#4616)
Include the optional 'detail' field from Content.additional_properties
when building image_url payloads for the OpenAI Chat API, matching the
existing pattern used for 'filename' in document file payloads.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Remove reproduction report
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Simplify detail extraction from additional_properties (#4616)
- Remove unnecessary hasattr check; additional_properties is always
initialized as a dict on Content instances.
- Use 'is not None' instead of truthy check to be more precise.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Remove detail allowlist in chat client to align with responses client
Replace the strict allowlist check ('low', 'high', 'auto') with an
isinstance(detail, str) check so that any valid string detail value is
passed through to OpenAI. This aligns the chat client behavior with the
responses client, which passes detail through unconditionally.
Also add test coverage for:
- Future/unknown string detail values being passed through
- Data URI images (covering the 'data' branch of the match)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix zero-argument MCP tool schema missing 'properties' key (#4540)
MCP servers for zero-argument tools (e.g. matlab-mcp-core-server's
detect_matlab_toolboxes) declare inputSchema as {"type": "object"}
without a "properties" key. OpenAI's API requires "properties" to
be present on object schemas, causing a 400 invalid_request_error.
Normalize inputSchema at MCP ingestion in load_tools() to inject an
empty "properties": {} when it is missing from object-type schemas.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4540: improve test robustness and add defensive guard
- Look up loaded functions by name instead of index to avoid brittle
ordering assumptions
- Add negative-path test cases: non-object schema (type: string) and
empty schema ({}) to verify guard clause skips them correctly
- Assert original inputSchema dicts are not mutated by load_tools()
- Add defensive guard for tool.inputSchema being None
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review feedback for #4540: Python: [Bug]: Local stdio MCP works for calculator but fails for official matlab-mcp-core-server on LM Studio /v1/responses
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix A2AAgent to invoke context providers before and after run
A2AAgent.run() bypassed the context provider lifecycle (before_run/after_run)
that BaseAgent defines as a contract for all agents. This caused A2AAgent to
violate the semantic definition of BaseAgent, resulting in inconsistency with
other agent implementations.
The fix follows the same pattern used by WorkflowAgent:
- Create SessionContext and run before_run on all context providers before
processing the A2A stream
- Collect response updates and run after_run on all context providers after
the stream is fully consumed
- Auto-create a session when context providers are configured but no session
is explicitly passed
Fixes#4754
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Remove reproduction report from repository
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review feedback for #4754
- Validate messages when no continuation_token: raise ValueError if
normalized_messages is empty, preventing IndexError on messages[-1]
- Import BaseContextProvider/SessionContext from public agent_framework
package instead of internal agent_framework._sessions module
- Add test for ValueError on run(None) without continuation_token
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Improve test coverage for empty-messages guard in A2AAgent.run (#4754)
- Parameterize test to cover both messages=None and messages=[] inputs
- Add test verifying run(None, continuation_token=...) does not raise
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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>
* Fix source generator bug that silently drops base class handler registrations for protocol-only partial executors
* Fixed xml comments and variable naming.
* Fix FileAgentSkillsProvider accepting SkillsInstructionPrompt without {0} placeholder (#4638)
BuildSkillsInstructionPrompt validated only format-string syntax via
string.Format(template, ""), which silently accepted templates without a
{0} placeholder. The generated skills list was then dropped from the final
instructions.
Tighten validation to format with a sentinel string and verify it appears
in the output, rejecting templates that do not reference argument 0 with
an ArgumentException.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix netstandard2.0 compat and simplify prompt template validation (#4638)
- Replace string.Contains(string, StringComparison) with IndexOf for
netstandard2.0/net472 compatibility
- Remove sentinel round-trip check; validate {0} directly on the raw
template string using IndexOf
- Add positive test verifying custom SkillsInstructionPrompt with {0}
is accepted and applied to output
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>
* updated automation tasks and commands, with alias for the time being
* Restore aggregate test exclusions
Preserve the legacy all-tests scope for test --all by excluding lab and devui from the default aggregate sweep, while still allowing explicit package selection. Also ignore hidden/generated test directories such as .mypy_cache during aggregate discovery.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* updated versions in pre-commit
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Python: 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>
* Add two hosted agent samples using the foundry agent
* Refactor formatting and improve readability in main.py
* Add agent-framework dependency to requirements and update copyright notice in main.py files
* Refactor agent imports and update credential handling in hosted agent samples
* Update agent framework dependency in requirements for hosted agents
* chore: update Python version to 3.14 and improve Dockerfile for hosted agents
* feat: add hosted agent samples for Azure AI with local tools and multi-agent workflows
* fix: update Azure AI client import and refactor agent initialization in hotel agent sample
* feat: add hosted agent samples for Seattle hotel search and writer-reviewer workflow
* fix: correct agent name in YAML configuration for local tools agent
* 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>
* Fix race condition issue in FanInEdge while processing messages.
* refactored to limit the code segment under lock.
* Remove extra materialization of the result.
* Added comment to clarify future changes if process message is made async.
* Fix flow.interrupts overwrite when multiple tools need approval (#4590)
Change flow.interrupts assignment to append so that all interrupt entries
accumulate when multiple tools require approval in a single turn.
Both _run_common.py and _agent_run.py used assignment (=) which caused
each new interrupt to overwrite the previous one. Switching to append()
ensures RUN_FINISHED.interrupt contains all pending approvals.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Add test for streaming path with multiple confirm_changes interrupts (#4590)
Add integration test exercising run_agent_stream with multiple predictive
tool calls requiring confirmation. Verifies that flow.interrupts.append()
correctly accumulates all interrupt entries and they appear in the
RUN_FINISHED event.
Also confirms FlowState already declares interrupts field with
default_factory=list, addressing the AttributeError concern from review.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* .NET: [Feature Branch] Add basic durable workflow support (#3648)
* Add basic durable workflow support.
* PR feedback fixes
* Add conditional edge sample.
* PR feedback fixes.
* Minor cleanup.
* Minor cleanup
* Minor formatting improvements.
* Improve comments/documentation on the execution flow.
* .NET: [Feature Branch] Add Azure Functions hosting support for durable workflows (#3935)
* Adding azure functions workflow support.
* - PR feedback fixes.
- Add example to demonstrate complex Object as payload.
* rename instanceId to runId.
* Use custom ITaskOrchestrator to run orchestrator function.
* .NET: [Feature Branch] Adding support for events & shared state in durable workflows (#4020)
* Adding support for events & shared state in durable workflows.
* PR feedback fixes
* PR feedback fixes.
* Add YieldOutputAsync calls to 05_WorkflowEvents sample executors
The integration test asserts that WorkflowOutputEvent is found in the
stream, but the sample executors only used AddEventAsync for custom
events and never called YieldOutputAsync. Since WorkflowOutputEvent is
only emitted via explicit YieldOutputAsync calls, the assertion would
fail. Added YieldOutputAsync to each executor to match the test
expectation and demonstrate the API in the sample.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix deserialization to use shared serializer options.
* PR feedback updates.
* Sample cleanup
* PR feedback fixes
* Addressing PR review feedback for DurableStreamingWorkflowRun
- Use -1 instead of 0 for taskId in TaskFailedException when task ID is not relevant.
- Add [NotNullWhen(true)] to TryParseWorkflowResult out parameter following .NET TryXXX conventions.
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* .NET: [Feature Branch] Add nested sub-workflow support for durable workflows (#4190)
* .NET: [Feature Branch] Add nested sub-workflow support for durable workflows
* fix readme path
* Switch Orchestration output from string to DurableWorkflowResult.
* PR feedback fixes
* Minor cleanup based on PR feedback.
* .NET: [Feature Branch] Add Human In the Loop support for durable workflows (#4358)
* Add Azure Functions HITL workflow sample
Add 06_WorkflowHITL Azure Functions sample demonstrating Human-in-the-Loop
workflow support with HTTP endpoints for status checking and approval responses.
The sample includes:
- ExpenseReimbursement workflow with RequestPort for manager approval
- Custom HTTP endpoint to check workflow status and pending approvals
- Custom HTTP endpoint to send approval responses via RaiseEventAsync
- demo.http file with step-by-step interaction examples
* PR feedback fixes
* Minor comment cleanup
* Minor comment clReverted the `!context.IsReplaying` guards on `PendingEvents.Add`/`RemoveAll` and `SetCustomStatus` in `ExecuteRequestPortAsync`. The guards broke fan-out scenarios where parallel RequestPorts need to be discoverable after replay. `SetCustomStatus` is idempotent metadata that doesn't affect replay determinism.eanup
* fix for PR feedback
* PR feedback updates
* Improvements to samples
* Improvements to README
* Update samples to use parallel request ports.
* Unit tests
* Introduce local variables to improve readability of Workflows.Workflows access patter
* Use GitHub-style callouts and add PowerShell command variants in HITL sample README
* Add changelog entries for durable workflow support (#4436)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump Microsoft.DurableTask.Worker to 1.19.1 to fix version downgrade
Microsoft.Azure.Functions.Worker.Extensions.DurableTask 1.13.1 requires
Microsoft.DurableTask.Worker >= 1.19.1 via its transitive dependency on
Microsoft.DurableTask.Worker.Grpc 1.19.1.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix broken markdown links in durable workflow sample READMEs
- Create Workflow/README.md with environment setup docs
- Fix ../README.md -> ../../README.md in ConsoleApps 01, 02, 03, 08
- Fix SubWorkflows relative path (3 levels -> 4 levels up)
- Fix dead Durable Task Scheduler URL
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix build errors from main merge: Throw conflict, ExecuteAsync rename, GetNewSessionAsync rename
- Remove InjectSharedThrow from DurableTask csproj (uses Workflows' internal Throw via InternalsVisibleTo)
- Update ExecuteAsync -> ExecuteCoreAsync with WorkflowTelemetryContext.Disabled
- Update GetNewSessionAsync -> CreateSessionAsync
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Move durable workflow samples to 04-hosting/DurableWorkflows
Aligns with main branch sample reorganization where durable samples
live under 04-hosting/ (alongside DurableAgents/).
- Move samples/Durable/Workflow/ -> samples/04-hosting/DurableWorkflows/
- Add Directory.Build.props matching DurableAgents pattern
- Update slnx project paths
- Update integration test sample paths
- Update README cd paths and cross-references
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix build errors: remove duplicate base class members, update renamed APIs
- Remove duplicate OutputLog, WriteInputAsync, CreateTestTimeoutCts, etc. from
ConsoleAppSamplesValidation (already in SamplesValidationBase)
- Update AddFanInEdge -> AddFanInBarrierEdge in workflow samples
- Update GetNewSessionAsync -> CreateSessionAsync in workflow samples
- Update SourceId -> ExecutorId (obsolete) in workflow samples
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix dotnet format issues: add UTF-8 BOM and remove unused using
- Add UTF-8 BOM to 20 .cs files across DurableTask, AzureFunctions,
unit tests, and workflow samples
- Remove unnecessary using directive in 07_SubWorkflows/Executors.cs
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix typo PaymentProcesser -> PaymentProcessor and garbled arrows in README
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix GetExecutorName to handle agent names with underscores
Split on last underscore instead of first, and validate that the
suffix is a 32-char hex string (sanitized GUID) before stripping it.
This prevents truncation of agent names like 'my_agent' when the
executor ID is 'my_agent_<guid>'.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Align DurableTask.Client.AzureManaged to 1.19.1
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump DurableTask and Azure Functions extension package versions
- DurableTask.* packages: 1.19.1 -> 1.22.0
- Functions.Worker.Extensions.DurableTask: 1.13.1 -> 1.16.0
- Functions.Worker.Extensions.DurableTask.AzureManaged: 1.0.1 -> 1.5.0 (telemetry bug fix)
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Bump DurableTask SDK packages to 1.22.0
- DurableTask.Client: 1.19.1 -> 1.22.0
- DurableTask.Client.AzureManaged: 1.19.1 -> 1.22.0
- DurableTask.Worker: 1.19.1 -> 1.22.0
- DurableTask.Worker.AzureManaged: 1.19.1 -> 1.22.0
- Azure Functions extensions kept at original versions (1.13.1/1.0.1) due to
host-side DurableTask.Core 3.7.0 incompatibility with newer extensions
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Update Microsoft.Azure.Functions.Worker.Extensions.DurableTask to "1.16.0"
* Add the local.settings.json files to the sample which were previously ignored. This aligns with our other samples.
* Increase timeout for tests as CI has them failing transiently.
* increaset timeout value for azure functions integration tests.
* Add YieldsOutput(string) to workflow shared state sample executors
ValidateOrder and EnrichOrder call YieldOutputAsync with string messages,
but only their TOutput (OrderDetails) was in the allowed yield types.
This caused TargetInvocationException in the WorkflowSharedState sample
validation integration test.
* Downgrade the durable packages to 1.18.0
* Downgrading Worker.Extensions.DurableTask to 1.12.1
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Fix _deduplicate_messages catch-all branch dropping valid repeated messages (#4682)
Remove the catch-all dedup branch that used (role, hash(content_str)) as a
dedup key. This incorrectly treated any two messages with the same role and
identical content as duplicates, dropping valid repeated messages (e.g., a
user saying 'yes' to confirm two separate things).
The tool-specific dedup branches (tool results by call_id, assistant tool
calls by call_id tuple) remain unchanged as they correctly identify true
protocol-level duplicates.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address review: consecutive-duplicate detection for non-tool messages (#4682)
- Replace blanket dedup removal with consecutive-duplicate detection:
only skip a message if the immediately preceding message has the same
role and content, preserving protection against upstream replays while
allowing identical messages at different conversation points.
- Strengthen test assertions to verify message identity and order, not
just list length.
- Add tests for consecutive duplicate skipping, non-consecutive
preservation, and messages with contents=None.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Apply pre-commit auto-fixes
* Use message_id for deduplication instead of content hashing
Deduplicate general messages by message_id when available, replacing
the consecutive-duplicate content check. Two messages with the same id
are definitively the same message (upstream replay), while identical
content with distinct ids (e.g. repeated "yes" confirmations) is
preserved. Messages without a message_id are always kept.
* Fix message_id dedup: truthy check, content-hash fallback, log safety
- Use truthy check (`if msg.message_id`) instead of `is not None` so
empty-string IDs fall through to content-hash dedup rather than
collapsing unrelated messages.
- Add content-hash fallback for messages without message_id, preventing
false negatives from integrations that don't set IDs.
- Remove raw message_id from log format string (addresses log-injection
surface with control characters).
- Add tests for empty-string message_id edge cases.
- Update existing tests to reflect content-hash dedup behavior.
Fixes#4682
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* 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>
* 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>
James SturtevantandGitHub
westeyandGitHub
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Hui MiaoandGitHub
Shyju KrishnankuttyandGitHub
Laveesh RohraandGitHub
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