From a033721ac202471f161e316da69eae7e81bb7a98 Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 03:28:14 +0900 Subject: [PATCH 01/59] Python: Fix response_format resolution in streaming finalizer (#4291) * Python: Fix AgentResponse.value being None when streaming workflow (#3970) The streaming path in BaseAgent.run() used the raw 'options' parameter (passed by the caller) to bind response_format into the outer stream's finalizer. When response_format was set in default_options rather than runtime options, it was missing from the finalizer and value was None. Fix: Use the merged chat_options from the run context (via ctx_holder), matching the non-streaming path which already uses ctx['chat_options']. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #3970: safer ctx access, add test coverage --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/core/agent_framework/_agents.py | 9 ++-- .../packages/core/tests/core/test_agents.py | 52 +++++++++++++++++++ 2 files changed, 58 insertions(+), 3 deletions(-) diff --git a/python/packages/core/agent_framework/_agents.py b/python/packages/core/agent_framework/_agents.py index a3f4570b6e..580b6e2c6d 100644 --- a/python/packages/core/agent_framework/_agents.py +++ b/python/packages/core/agent_framework/_agents.py @@ -935,6 +935,11 @@ class RawAgent(BaseAgent, Generic[OptionsCoT]): # type: ignore[misc] session.service_session_id = conv_id return update + def _finalizer(updates: Sequence[AgentResponseUpdate]) -> AgentResponse[Any]: + ctx = ctx_holder["ctx"] + rf = ctx.get("chat_options", {}).get("response_format") if ctx else (options.get("response_format") if options else None) + return self._finalize_response_updates(updates, response_format=rf) + return ( ResponseStream .from_awaitable(_get_stream()) @@ -943,9 +948,7 @@ class RawAgent(BaseAgent, Generic[OptionsCoT]): # type: ignore[misc] map_chat_to_agent_update, agent_name=self.name, ), - finalizer=partial( - self._finalize_response_updates, response_format=options.get("response_format") if options else None - ), + finalizer=_finalizer, ) .with_transform_hook(_propagate_conversation_id) .with_result_hook(_post_hook) diff --git a/python/packages/core/tests/core/test_agents.py b/python/packages/core/tests/core/test_agents.py index 627987a1f2..b6f84dc970 100644 --- a/python/packages/core/tests/core/test_agents.py +++ b/python/packages/core/tests/core/test_agents.py @@ -97,6 +97,58 @@ async def test_chat_client_agent_run_streaming(client: SupportsChatGetResponse) assert result.text == "test streaming response another update" +async def test_chat_client_agent_streaming_response_format_from_default_options( + client: SupportsChatGetResponse, +) -> None: + """AgentResponse.value must be parsed when response_format is set in default_options and streaming.""" + from pydantic import BaseModel + + class Greeting(BaseModel): + greeting: str + + json_text = '{"greeting": "Hello"}' + client.streaming_responses.append( # type: ignore[attr-defined] + [ChatResponseUpdate(contents=[Content.from_text(json_text)], role="assistant", finish_reason="stop")] + ) + + agent = Agent(client=client, default_options={"response_format": Greeting}) + stream = agent.run("Hello", stream=True) + async for _ in stream: + pass + result = await stream.get_final_response() + + assert result.text == json_text + assert result.value is not None + assert isinstance(result.value, Greeting) + assert result.value.greeting == "Hello" + + +async def test_chat_client_agent_streaming_response_format_from_run_options( + client: SupportsChatGetResponse, +) -> None: + """AgentResponse.value must be parsed when response_format is passed via run() options kwarg.""" + from pydantic import BaseModel + + class Greeting(BaseModel): + greeting: str + + json_text = '{"greeting": "Hi"}' + client.streaming_responses.append( # type: ignore[attr-defined] + [ChatResponseUpdate(contents=[Content.from_text(json_text)], role="assistant", finish_reason="stop")] + ) + + agent = Agent(client=client) + stream = agent.run("Hello", stream=True, options={"response_format": Greeting}) + async for _ in stream: + pass + result = await stream.get_final_response() + + assert result.text == json_text + assert result.value is not None + assert isinstance(result.value, Greeting) + assert result.value.greeting == "Hi" + + async def test_chat_client_agent_create_session(client: SupportsChatGetResponse) -> None: agent = Agent(client=client) session = agent.create_session() From 97b24990d902a358e64d19c219961eaaebfa543b Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 05:52:06 +0900 Subject: [PATCH 02/59] Python: Tighten HandoffBuilder to require Agent instead of SupportsAgentRun (#4301) (#4302) HandoffBuilder.participants() accepted SupportsAgentRun by API contract, but build() failed at runtime because _prepare_agent_with_handoffs() requires Agent instances for cloning, tool injection, and middleware. Fix: Update all public type hints, docstrings, and validation in HandoffBuilder and HandoffAgentExecutor to require Agent explicitly. The isinstance check is now performed early in participants() with a clear error message explaining why Agent is required. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../_handoff.py | 65 ++++++++++--------- .../orchestrations/tests/test_handoff.py | 26 ++++++++ 2 files changed, 59 insertions(+), 32 deletions(-) diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py b/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py index d2ff5af959..5d6e84ef05 100644 --- a/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py +++ b/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py @@ -197,7 +197,7 @@ class HandoffAgentExecutor(AgentExecutor): def __init__( self, - agent: SupportsAgentRun, + agent: Agent, handoffs: Sequence[HandoffConfiguration], *, agent_session: AgentSession | None = None, @@ -210,7 +210,7 @@ class HandoffAgentExecutor(AgentExecutor): """Initialize the HandoffAgentExecutor. Args: - agent: The agent to execute + agent: The ``Agent`` instance to execute handoffs: Sequence of handoff configurations defining target agents agent_session: Optional AgentSession that manages the agent's execution context is_start_agent: Whether this agent is the starting agent in the handoff workflow. @@ -240,20 +240,18 @@ class HandoffAgentExecutor(AgentExecutor): def _prepare_agent_with_handoffs( self, - agent: SupportsAgentRun, + agent: Agent, handoffs: Sequence[HandoffConfiguration], - ) -> SupportsAgentRun: + ) -> Agent: """Prepare an agent by adding handoff tools for the specified target agents. Args: - agent: The agent to prepare + agent: The ``Agent`` instance to prepare handoffs: Sequence of handoff configurations defining target agents Returns: - A new AgentExecutor instance with handoff tools added + A cloned ``Agent`` instance with handoff tools added """ - if not isinstance(agent, Agent): - raise TypeError("Handoff can only be applied to Agent. Please ensure the agent is a Agent instance.") # Clone the agent to avoid mutating the original cloned_agent = self._clone_chat_agent(agent) # type: ignore @@ -701,13 +699,15 @@ class HandoffBuilder: approach to multi-agent collaboration. Handoffs can be configured using `.add_handoff`. If none are specified, all agents can hand off to all others by default (making a mesh topology). - Participants must be agents. Support for custom executors is not available in handoff workflows. + Participants must be ``Agent`` instances. ``SupportsAgentRun`` protocol implementors that + are not ``Agent`` subclasses are not supported because handoff workflows require cloning, + tool injection, and middleware — capabilities only available on ``Agent``. Outputs: The final conversation history as a list of Message once the group chat completes. Note: - 1. Agents in handoff workflows must be Agent instances and support local tool calls. + 1. Agents in handoff workflows must be ``Agent`` instances and support local tool calls. 2. Handoff doesn't support intermediate outputs from agents. All outputs are returned as they become available. This is because agents in handoff workflows are not considered sub-agents of a central orchestrator, thus all outputs are directly emitted. @@ -717,7 +717,7 @@ class HandoffBuilder: self, *, name: str | None = None, - participants: Sequence[SupportsAgentRun] | None = None, + participants: Sequence[Agent] | None = None, description: str | None = None, checkpoint_storage: CheckpointStorage | None = None, termination_condition: TerminationCondition | None = None, @@ -734,7 +734,7 @@ class HandoffBuilder: Args: name: Optional workflow identifier used in logging and debugging. If not provided, a default name will be generated. - participants: Optional list of agents that will participate in the handoff workflow. + participants: Optional list of ``Agent`` instances that will participate in the handoff workflow. You can also call `.participants([...])` later. Each participant must have a unique identifier (`.name` is preferred if set, otherwise `.id` is used). description: Optional human-readable description explaining the workflow's @@ -747,7 +747,7 @@ class HandoffBuilder: self._description = description # Participant related members - self._participants: dict[str, SupportsAgentRun] = {} + self._participants: dict[str, Agent] = {} self._start_id: str | None = None if participants: @@ -768,11 +768,11 @@ class HandoffBuilder: # Termination related members self._termination_condition: Callable[[list[Message]], bool | Awaitable[bool]] | None = termination_condition - def participants(self, participants: Sequence[SupportsAgentRun]) -> "HandoffBuilder": + def participants(self, participants: Sequence[Agent]) -> "HandoffBuilder": """Register the agents that will participate in the handoff workflow. Args: - participants: Sequence of SupportsAgentRun instances. Each must have a unique identifier. + participants: Sequence of ``Agent`` instances. Each must have a unique identifier. (`.name` is preferred if set, otherwise `.id` is used). Returns: @@ -781,7 +781,7 @@ class HandoffBuilder: Raises: ValueError: If participants is empty, contains duplicates, or `.participants()` has already been called. - TypeError: If participants are not SupportsAgentRun instances. + TypeError: If participants are not ``Agent`` instances. Example: @@ -804,14 +804,15 @@ class HandoffBuilder: if not participants: raise ValueError("participants cannot be empty") - named: dict[str, SupportsAgentRun] = {} + named: dict[str, Agent] = {} for participant in participants: - if isinstance(participant, SupportsAgentRun): - resolved_id = self._resolve_to_id(participant) - else: + if not isinstance(participant, Agent): raise TypeError( - f"Participants must be SupportsAgentRun or Executor instances. Got {type(participant).__name__}." + f"Participants must be Agent instances. Got {type(participant).__name__}. " + "Handoff workflows require Agent because they rely on cloning, tool injection, " + "and middleware capabilities." ) + resolved_id = self._resolve_to_id(participant) if resolved_id in named: raise ValueError(f"Duplicate participant name '{resolved_id}' detected") @@ -823,8 +824,8 @@ class HandoffBuilder: def add_handoff( self, - source: SupportsAgentRun, - targets: Sequence[SupportsAgentRun], + source: Agent, + targets: Sequence[Agent], *, description: str | None = None, ) -> "HandoffBuilder": @@ -905,7 +906,7 @@ class HandoffBuilder: return self - def with_start_agent(self, agent: SupportsAgentRun) -> "HandoffBuilder": + def with_start_agent(self, agent: Agent) -> "HandoffBuilder": """Set the agent that will initiate the handoff workflow. If not specified, the first registered participant will be used as the starting agent. @@ -929,7 +930,7 @@ class HandoffBuilder: def with_autonomous_mode( self, *, - agents: Sequence[SupportsAgentRun] | Sequence[str] | None = None, + agents: Sequence[Agent] | Sequence[str] | None = None, prompts: dict[str, str] | None = None, turn_limits: dict[str, int] | None = None, ) -> "HandoffBuilder": @@ -943,7 +944,7 @@ class HandoffBuilder: Args: agents: Optional list of agents to enable autonomous mode for. Can be: - Factory names (str): If using participant factories - - SupportsAgentRun instances: The actual agent objects + - SupportsAgentRun / Agent instances: The actual agent objects - If not provided, all agents will operate in autonomous mode. prompts: Optional mapping of agent identifiers/factory names to custom prompts to use when continuing in autonomous mode. If not provided, a default prompt will be used. @@ -1092,22 +1093,22 @@ class HandoffBuilder: # region Internal Helper Methods - def _resolve_agents(self) -> dict[str, SupportsAgentRun]: + def _resolve_agents(self) -> dict[str, Agent]: """Resolve participant instances into agent instances. Returns: - Map of executor IDs to `SupportsAgentRun` instances + Map of executor IDs to ``Agent`` instances """ if not self._participants: raise ValueError("No participants provided. Call .participants() first.") return self._participants - def _resolve_handoffs(self, agents: dict[str, SupportsAgentRun]) -> dict[str, list[HandoffConfiguration]]: + def _resolve_handoffs(self, agents: dict[str, Agent]) -> dict[str, list[HandoffConfiguration]]: """Resolve handoff configurations to executor IDs. Args: - agents: Map of agent IDs to `SupportsAgentRun` instances + agents: Map of agent IDs to ``Agent`` instances Returns: Map of executor IDs to list of HandoffConfiguration instances @@ -1154,13 +1155,13 @@ class HandoffBuilder: def _resolve_executors( self, - agents: dict[str, SupportsAgentRun], + agents: dict[str, Agent], handoffs: dict[str, list[HandoffConfiguration]], ) -> dict[str, HandoffAgentExecutor]: """Resolve agents into HandoffAgentExecutors. Args: - agents: Map of agent IDs to `SupportsAgentRun` instances + agents: Map of agent IDs to ``Agent`` instances handoffs: Map of executor IDs to list of HandoffConfiguration instances Returns: diff --git a/python/packages/orchestrations/tests/test_handoff.py b/python/packages/orchestrations/tests/test_handoff.py index e0d94355b6..43c2f9153a 100644 --- a/python/packages/orchestrations/tests/test_handoff.py +++ b/python/packages/orchestrations/tests/test_handoff.py @@ -1091,3 +1091,29 @@ async def test_auto_handoff_middleware_calls_next_for_non_handoff_tool() -> None call_next.assert_awaited_once() assert context.result is None + + +def test_handoff_builder_rejects_non_agent_supports_agent_run(): + """Verify that participants() rejects SupportsAgentRun implementations that are not Agent instances.""" + from agent_framework import AgentResponse, AgentSession, SupportsAgentRun + + class FakeAgentRun: + def __init__(self, id, name): + self.id = id + self.name = name + self.description = "d" + + async def run(self, messages=None, *, stream=False, session=None, **kwargs): + return AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("ok")])]) + + def create_session(self, **kwargs): + return AgentSession() + + def get_session(self, *, service_session_id, **kwargs): + return AgentSession(service_session_id=service_session_id) + + fake = FakeAgentRun("a", "A") + assert isinstance(fake, SupportsAgentRun) + + with pytest.raises(TypeError, match="Participants must be Agent instances"): + HandoffBuilder().participants([fake]) From 823e714ccf5c994fe802a7ede7c0e30cf7e5e2d8 Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 05:53:20 +0900 Subject: [PATCH 03/59] Python: Strip reserved kwargs in AgentExecutor to prevent duplicate-argument TypeError (#4298) * Python: Strip reserved kwargs in AgentExecutor to prevent collision (#4295) workflow.run(session=...) passed 'session' through to agent.run() via **run_kwargs while AgentExecutor also passes session=self._session explicitly, causing TypeError: got multiple values for keyword argument. _prepare_agent_run_args now strips reserved params (session, stream, messages) from run_kwargs and logs a warning when they are present. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback for #4295 - Use _RESERVED_RUN_PARAMS constant in stripping loop instead of hardcoded tuple to maintain single source of truth - Trim frozenset to only stripped keys (session, stream, messages); options and additional_function_arguments have separate merge logic - Fix caplog type annotation to use TYPE_CHECKING pattern - Assert options return value in reserved-kwarg stripping test - Add test for multiple reserved kwargs supplied simultaneously - Add integration test for messages= kwarg via workflow.run() Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../_workflows/_agent_executor.py | 19 ++++ .../tests/workflow/test_agent_executor.py | 90 ++++++++++++++++++- 2 files changed, 108 insertions(+), 1 deletion(-) diff --git a/python/packages/core/agent_framework/_workflows/_agent_executor.py b/python/packages/core/agent_framework/_workflows/_agent_executor.py index 257833bb6a..acec8e48e2 100644 --- a/python/packages/core/agent_framework/_workflows/_agent_executor.py +++ b/python/packages/core/agent_framework/_workflows/_agent_executor.py @@ -415,6 +415,10 @@ class AgentExecutor(Executor): return response + # Parameters that are explicitly passed to agent.run() by AgentExecutor + # and must not appear in **run_kwargs to avoid TypeError from duplicate values. + _RESERVED_RUN_PARAMS: frozenset[str] = frozenset({"session", "stream", "messages"}) + @staticmethod def _prepare_agent_run_args(raw_run_kwargs: dict[str, Any]) -> tuple[dict[str, Any], dict[str, Any] | None]: """Prepare kwargs and options for agent.run(), avoiding duplicate option passing. @@ -423,8 +427,23 @@ class AgentExecutor(Executor): `options.additional_function_arguments`. If workflow kwargs include an `options` key, merge it into the final options object and remove it from kwargs before spreading `**run_kwargs`. + + Reserved parameters (session, stream, messages) that are explicitly + managed by AgentExecutor are stripped from run_kwargs to prevent + ``TypeError: got multiple values for keyword argument`` collisions. """ run_kwargs = dict(raw_run_kwargs) + + # Strip reserved params that AgentExecutor passes explicitly to agent.run(). + for key in AgentExecutor._RESERVED_RUN_PARAMS: + if key in run_kwargs: + logger.warning( + "Workflow kwarg '%s' is reserved by AgentExecutor and will be ignored. " + "Remove it from workflow.run() kwargs to silence this warning.", + key, + ) + run_kwargs.pop(key) + options_from_workflow = run_kwargs.pop("options", None) workflow_additional_args = run_kwargs.pop("additional_function_arguments", None) diff --git a/python/packages/core/tests/workflow/test_agent_executor.py b/python/packages/core/tests/workflow/test_agent_executor.py index 7c2e6fc356..db53868ee1 100644 --- a/python/packages/core/tests/workflow/test_agent_executor.py +++ b/python/packages/core/tests/workflow/test_agent_executor.py @@ -1,7 +1,10 @@ # Copyright (c) Microsoft. All rights reserved. +import logging from collections.abc import AsyncIterable, Awaitable -from typing import Any +from typing import TYPE_CHECKING, Any + +import pytest from agent_framework import ( AgentExecutor, @@ -18,6 +21,9 @@ from agent_framework._workflows._agent_executor import AgentExecutorResponse from agent_framework._workflows._checkpoint import InMemoryCheckpointStorage from agent_framework.orchestrations import SequentialBuilder +if TYPE_CHECKING: + from _pytest.logging import LogCaptureFixture + class _CountingAgent(BaseAgent): """Agent that echoes messages with a counter to verify session state persistence.""" @@ -251,3 +257,85 @@ async def test_agent_executor_save_and_restore_state_directly() -> None: # Verify session was restored with correct session_id restored_session = new_executor._session # type: ignore[reportPrivateUsage] assert restored_session.session_id == session.session_id + + +async def test_agent_executor_run_with_session_kwarg_does_not_raise() -> None: + """Passing session= via workflow.run() should not cause a duplicate-keyword TypeError (#4295).""" + agent = _CountingAgent(id="session_kwarg_agent", name="SessionKwargAgent") + executor = AgentExecutor(agent, id="session_kwarg_exec") + workflow = SequentialBuilder(participants=[executor]).build() + + # This previously raised: TypeError: run() got multiple values for keyword argument 'session' + result = await workflow.run("hello", session="user-supplied-value") + assert result is not None + assert agent.call_count == 1 + + +async def test_agent_executor_run_streaming_with_stream_kwarg_does_not_raise() -> None: + """Passing stream= via workflow.run() kwargs should not cause a duplicate-keyword TypeError.""" + agent = _CountingAgent(id="stream_kwarg_agent", name="StreamKwargAgent") + executor = AgentExecutor(agent, id="stream_kwarg_exec") + workflow = SequentialBuilder(participants=[executor]).build() + + # stream=True at workflow level triggers streaming mode (returns async iterable) + events = [] + async for event in workflow.run("hello", stream=True): + events.append(event) + assert len(events) > 0 + assert agent.call_count == 1 + + +@pytest.mark.parametrize("reserved_kwarg", ["session", "stream", "messages"]) +async def test_prepare_agent_run_args_strips_reserved_kwargs( + reserved_kwarg: str, caplog: "LogCaptureFixture" +) -> None: + """_prepare_agent_run_args must remove reserved kwargs and log a warning.""" + raw = {reserved_kwarg: "should-be-stripped", "custom_key": "keep-me"} + + with caplog.at_level(logging.WARNING): + run_kwargs, options = AgentExecutor._prepare_agent_run_args(raw) + + assert reserved_kwarg not in run_kwargs + assert "custom_key" in run_kwargs + assert options is not None + assert options["additional_function_arguments"]["custom_key"] == "keep-me" + assert any(reserved_kwarg in record.message for record in caplog.records) + + +async def test_prepare_agent_run_args_preserves_non_reserved_kwargs() -> None: + """Non-reserved workflow kwargs should pass through unchanged.""" + raw = {"custom_param": "value", "another": 42} + run_kwargs, options = AgentExecutor._prepare_agent_run_args(raw) + assert run_kwargs["custom_param"] == "value" + assert run_kwargs["another"] == 42 + + +async def test_prepare_agent_run_args_strips_all_reserved_kwargs_at_once( + caplog: "LogCaptureFixture", +) -> None: + """All reserved kwargs should be stripped when supplied together, each emitting a warning.""" + raw = {"session": "x", "stream": True, "messages": [], "custom": 1} + + with caplog.at_level(logging.WARNING): + run_kwargs, options = AgentExecutor._prepare_agent_run_args(raw) + + assert "session" not in run_kwargs + assert "stream" not in run_kwargs + assert "messages" not in run_kwargs + assert run_kwargs["custom"] == 1 + assert options is not None + assert options["additional_function_arguments"]["custom"] == 1 + + warned_keys = {r.message.split("'")[1] for r in caplog.records if "reserved" in r.message.lower()} + assert warned_keys == {"session", "stream", "messages"} + + +async def test_agent_executor_run_with_messages_kwarg_does_not_raise() -> None: + """Passing messages= via workflow.run() kwargs should not cause a duplicate-keyword TypeError.""" + agent = _CountingAgent(id="messages_kwarg_agent", name="MessagesKwargAgent") + executor = AgentExecutor(agent, id="messages_kwarg_exec") + workflow = SequentialBuilder(participants=[executor]).build() + + result = await workflow.run("hello", messages=["stale"]) + assert result is not None + assert agent.call_count == 1 From b46fe1c82e33f43e6b76cf1c841e536904131100 Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 05:57:04 +0900 Subject: [PATCH 04/59] Python: Preserve workflow run kwargs when continuing with `run(responses=...)` (#4296) * fix(python): preserve workflow run kwargs on response continuation (#4293) When continuing a paused workflow with run(responses=...), the existing run kwargs stored in state were unconditionally overwritten with an empty dict. This caused subsequent agent invocations to lose the original run context (e.g., custom_data, user tokens). Now kwargs are only overwritten when: - New kwargs are explicitly provided (override), or - State was just cleared for a fresh run (initialize to {}) On continuation without new kwargs, existing kwargs are preserved. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback for #4293 - Use consistent get_state(key, {}) default pattern in _agent_executor.py and _workflow_executor.py instead of get_state(key) or {} to safely handle missing WORKFLOW_RUN_KWARGS_KEY - Add test for empty-value kwargs on continuation (custom_data={}) to verify the is-not-None boundary between overwrite and preserve - Add test for reset_context=True with no kwargs to exercise the elif branch that initializes WORKFLOW_RUN_KWARGS_KEY to {} - Add len assertion to override test for consistency - Document kwargs-collapsing behavior at the public API call site Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../_workflows/_agent_executor.py | 2 +- .../agent_framework/_workflows/_workflow.py | 15 +- .../_workflows/_workflow_executor.py | 2 +- .../tests/workflow/test_workflow_kwargs.py | 209 ++++++++++++++++++ 4 files changed, 223 insertions(+), 5 deletions(-) diff --git a/python/packages/core/agent_framework/_workflows/_agent_executor.py b/python/packages/core/agent_framework/_workflows/_agent_executor.py index acec8e48e2..3d8024a35e 100644 --- a/python/packages/core/agent_framework/_workflows/_agent_executor.py +++ b/python/packages/core/agent_framework/_workflows/_agent_executor.py @@ -360,7 +360,7 @@ class AgentExecutor(Executor): Returns: The complete AgentResponse, or None if waiting for user input. """ - run_kwargs, options = self._prepare_agent_run_args(ctx.get_state(WORKFLOW_RUN_KWARGS_KEY) or {}) + run_kwargs, options = self._prepare_agent_run_args(ctx.get_state(WORKFLOW_RUN_KWARGS_KEY, {})) updates: list[AgentResponseUpdate] = [] streamed_user_input_requests: list[Content] = [] diff --git a/python/packages/core/agent_framework/_workflows/_workflow.py b/python/packages/core/agent_framework/_workflows/_workflow.py index cd7dbb4a68..f545fbe5d8 100644 --- a/python/packages/core/agent_framework/_workflows/_workflow.py +++ b/python/packages/core/agent_framework/_workflows/_workflow.py @@ -345,9 +345,14 @@ class Workflow(DictConvertible): self._runner.context.reset_for_new_run() self._state.clear() - # Store run kwargs in State so executors can access them - # Always store (even empty dict) so retrieval is deterministic - self._state.set(WORKFLOW_RUN_KWARGS_KEY, run_kwargs or {}) + # Store run kwargs in State so executors can access them. + # Only overwrite when new kwargs are explicitly provided or state was + # just cleared (fresh run). On continuation (reset_context=False) with + # no new kwargs, preserve the kwargs from the original run. + if run_kwargs is not None: + self._state.set(WORKFLOW_RUN_KWARGS_KEY, run_kwargs) + elif reset_context: + self._state.set(WORKFLOW_RUN_KWARGS_KEY, {}) self._state.commit() # Commit immediately so kwargs are available # Set streaming mode after reset @@ -564,6 +569,10 @@ class Workflow(DictConvertible): initial_executor_fn=initial_executor_fn, reset_context=reset_context, streaming=streaming, + # Empty **kwargs (no caller-provided kwargs) is collapsed to None so that + # continuation calls without explicit kwargs preserve the original run's kwargs. + # A non-empty kwargs dict (even one with empty values like {"key": {}}) + # is passed through and will overwrite stored kwargs. run_kwargs=kwargs if kwargs else None, ): if event.type == "output" and not self._should_yield_output_event(event): diff --git a/python/packages/core/agent_framework/_workflows/_workflow_executor.py b/python/packages/core/agent_framework/_workflows/_workflow_executor.py index 0d2c86070c..e9e4196bfd 100644 --- a/python/packages/core/agent_framework/_workflows/_workflow_executor.py +++ b/python/packages/core/agent_framework/_workflows/_workflow_executor.py @@ -385,7 +385,7 @@ class WorkflowExecutor(Executor): try: # Get kwargs from parent workflow's State to propagate to subworkflow - parent_kwargs: dict[str, Any] = ctx.get_state(WORKFLOW_RUN_KWARGS_KEY) or {} + parent_kwargs: dict[str, Any] = ctx.get_state(WORKFLOW_RUN_KWARGS_KEY, {}) # Run the sub-workflow and collect all events, passing parent kwargs result = await self.workflow.run(input_data, **parent_kwargs) diff --git a/python/packages/core/tests/workflow/test_workflow_kwargs.py b/python/packages/core/tests/workflow/test_workflow_kwargs.py index bf1fd00974..379435e124 100644 --- a/python/packages/core/tests/workflow/test_workflow_kwargs.py +++ b/python/packages/core/tests/workflow/test_workflow_kwargs.py @@ -446,6 +446,215 @@ async def test_kwargs_with_complex_nested_data() -> None: assert received.get("complex_data") == complex_data +async def test_kwargs_preserved_on_response_continuation() -> None: + """Test that run kwargs are preserved when continuing a paused workflow with run(responses=...). + + Regression test for #4293: kwargs were overwritten to {} on continuation calls. + """ + + class _ApprovalCapturingAgent(BaseAgent): + """Agent that pauses for approval on first call and captures kwargs on every call.""" + + captured_kwargs: list[dict[str, Any]] + _asked: bool + + def __init__(self) -> None: + super().__init__(name="approval_agent", description="Test agent") + self.captured_kwargs = [] + self._asked = False + + def run( + self, + messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + *, + stream: bool = False, + session: AgentSession | None = None, + **kwargs: Any, + ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + self.captured_kwargs.append(dict(kwargs)) + if not self._asked: + self._asked = True + + async def _pause() -> AgentResponse: + call = Content.from_function_call(call_id="c1", name="do_thing", arguments="{}") + req = Content.from_function_approval_request(id="r1", function_call=call) + return AgentResponse(messages=[Message("assistant", [req])]) + + return _pause() + + async def _done() -> AgentResponse: + return AgentResponse(messages=[Message("assistant", ["done"])]) + + return _done() + + from agent_framework import WorkflowBuilder + + agent = _ApprovalCapturingAgent() + workflow = WorkflowBuilder(start_executor=agent, output_executors=[agent]).build() + + # Initial run with kwargs — workflow should pause for approval + result = await workflow.run("go", custom_data={"token": "abc"}) + request_events = result.get_request_info_events() + assert len(request_events) == 1 + + # Continue with responses only — no new kwargs + approval = request_events[0] + await workflow.run( + responses={approval.request_id: approval.data.to_function_approval_response(True)} + ) + + # Both calls should have received the original kwargs + assert len(agent.captured_kwargs) == 2 + assert agent.captured_kwargs[0].get("custom_data") == {"token": "abc"} + assert agent.captured_kwargs[1].get("custom_data") == {"token": "abc"}, ( + f"kwargs should be preserved on continuation, got: {agent.captured_kwargs[1]}" + ) + + +async def test_kwargs_overridden_on_response_continuation() -> None: + """Test that explicitly provided kwargs override prior kwargs on continuation.""" + + class _ApprovalCapturingAgent(BaseAgent): + captured_kwargs: list[dict[str, Any]] + _asked: bool + + def __init__(self) -> None: + super().__init__(name="approval_agent", description="Test agent") + self.captured_kwargs = [] + self._asked = False + + def run( + self, + messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + *, + stream: bool = False, + session: AgentSession | None = None, + **kwargs: Any, + ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + self.captured_kwargs.append(dict(kwargs)) + if not self._asked: + self._asked = True + + async def _pause() -> AgentResponse: + call = Content.from_function_call(call_id="c1", name="do_thing", arguments="{}") + req = Content.from_function_approval_request(id="r1", function_call=call) + return AgentResponse(messages=[Message("assistant", [req])]) + + return _pause() + + async def _done() -> AgentResponse: + return AgentResponse(messages=[Message("assistant", ["done"])]) + + return _done() + + from agent_framework import WorkflowBuilder + + agent = _ApprovalCapturingAgent() + workflow = WorkflowBuilder(start_executor=agent, output_executors=[agent]).build() + + result = await workflow.run("go", custom_data={"token": "abc"}) + request_events = result.get_request_info_events() + approval = request_events[0] + + # Continue with responses AND new kwargs — should override + await workflow.run( + responses={approval.request_id: approval.data.to_function_approval_response(True)}, + custom_data={"token": "xyz"}, + ) + + assert len(agent.captured_kwargs) == 2 + assert agent.captured_kwargs[0].get("custom_data") == {"token": "abc"} + assert agent.captured_kwargs[1].get("custom_data") == {"token": "xyz"} + + +async def test_kwargs_empty_value_passed_on_continuation() -> None: + """Test that explicitly passing a kwarg with an empty value on continuation overrides prior kwargs. + + This exercises the boundary where the caller provides kwargs (e.g., custom_data={}) + that differ from the original run. Because the kwargs dict is non-empty (it has a key), + it passes the `kwargs if kwargs else None` gate and the `is not None` check, so it + overwrites the previously stored kwargs. + """ + + class _ApprovalCapturingAgent(BaseAgent): + captured_kwargs: list[dict[str, Any]] + _asked: bool + + def __init__(self) -> None: + super().__init__(name="approval_agent", description="Test agent") + self.captured_kwargs = [] + self._asked = False + + def run( + self, + messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + *, + stream: bool = False, + session: AgentSession | None = None, + **kwargs: Any, + ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + self.captured_kwargs.append(dict(kwargs)) + if not self._asked: + self._asked = True + + async def _pause() -> AgentResponse: + call = Content.from_function_call(call_id="c1", name="do_thing", arguments="{}") + req = Content.from_function_approval_request(id="r1", function_call=call) + return AgentResponse(messages=[Message("assistant", [req])]) + + return _pause() + + async def _done() -> AgentResponse: + return AgentResponse(messages=[Message("assistant", ["done"])]) + + return _done() + + from agent_framework import WorkflowBuilder + + agent = _ApprovalCapturingAgent() + workflow = WorkflowBuilder(start_executor=agent, output_executors=[agent]).build() + + # Initial run with non-empty kwargs + result = await workflow.run("go", custom_data={"token": "abc"}) + request_events = result.get_request_info_events() + assert len(request_events) == 1 + + # Continue with custom_data={} — explicitly clearing the value. + # kwargs={"custom_data": {}} is truthy (has a key), so run_kwargs is set. + approval = request_events[0] + await workflow.run( + responses={approval.request_id: approval.data.to_function_approval_response(True)}, + custom_data={}, + ) + + assert len(agent.captured_kwargs) == 2 + assert agent.captured_kwargs[0].get("custom_data") == {"token": "abc"} + # The continuation explicitly set custom_data={}, overriding the original + assert agent.captured_kwargs[1].get("custom_data") == {} + + +async def test_kwargs_reset_context_stores_empty_dict() -> None: + """Test that reset_context=True with no kwargs stores an empty dict. + + This exercises the `elif reset_context` branch that ensures WORKFLOW_RUN_KWARGS_KEY + is always populated after a fresh run, even when no kwargs are provided. + """ + agent = _KwargsCapturingAgent(name="reset_ctx_test") + + workflow = SequentialBuilder(participants=[agent]).build() + + # Run with no kwargs and reset_context=True (the default for a fresh run) + async for event in workflow.run("test", stream=True): + if event.type == "status" and event.state == WorkflowRunState.IDLE: + break + + assert len(agent.captured_kwargs) >= 1 + # The only kwarg should be the framework-injected 'options' (no user-provided kwargs) + received = agent.captured_kwargs[0] + assert "custom_data" not in received + assert received.get("options") is None + + async def test_kwargs_preserved_across_workflow_reruns() -> None: """Test that kwargs are correctly isolated between workflow runs.""" agent = _KwargsCapturingAgent(name="rerun_test") From e0461b42c12ed2ca492ad6512583ef1920c649a6 Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 07:07:23 +0900 Subject: [PATCH 05/59] Python: Map file citation annotations from TextDeltaBlock in Assistants API streaming (#4316) (#4320) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 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> --- .../openai/_assistants_client.py | 50 +++++++- .../openai/test_openai_assistants_client.py | 116 ++++++++++++++++++ 2 files changed, 165 insertions(+), 1 deletion(-) diff --git a/python/packages/core/agent_framework/openai/_assistants_client.py b/python/packages/core/agent_framework/openai/_assistants_client.py index 42a5e32732..dc05411a52 100644 --- a/python/packages/core/agent_framework/openai/_assistants_client.py +++ b/python/packages/core/agent_framework/openai/_assistants_client.py @@ -16,6 +16,8 @@ from typing import TYPE_CHECKING, Any, Generic, Literal, TypedDict, cast from openai import AsyncOpenAI from openai.types.beta.threads import ( + FileCitationDeltaAnnotation, + FilePathDeltaAnnotation, ImageURLContentBlockParam, ImageURLParam, MessageContentPartParam, @@ -39,12 +41,14 @@ from .._tools import ( normalize_tools, ) from .._types import ( + Annotation, ChatOptions, ChatResponse, ChatResponseUpdate, Content, Message, ResponseStream, + TextSpanRegion, UsageDetails, ) from ..observability import ChatTelemetryLayer @@ -554,9 +558,53 @@ class OpenAIAssistantsClient( # type: ignore[misc] for delta_block in delta.content or []: if isinstance(delta_block, TextDeltaBlock) and delta_block.text and delta_block.text.value: + text_content = Content.from_text(delta_block.text.value) + if delta_block.text.annotations: + text_content.annotations = [] + for annotation in delta_block.text.annotations: + if isinstance(annotation, FileCitationDeltaAnnotation): + ann: Annotation = Annotation( + type="citation", + additional_properties={ + "text": annotation.text, + "index": annotation.index, + }, + raw_representation=annotation, + ) + if annotation.file_citation and annotation.file_citation.file_id: + ann["file_id"] = annotation.file_citation.file_id + if annotation.start_index is not None and annotation.end_index is not None: + ann["annotated_regions"] = [ + TextSpanRegion( + type="text_span", + start_index=annotation.start_index, + end_index=annotation.end_index, + ) + ] + text_content.annotations.append(ann) + elif isinstance(annotation, FilePathDeltaAnnotation): + ann = Annotation( + type="citation", + additional_properties={ + "text": annotation.text, + "index": annotation.index, + }, + raw_representation=annotation, + ) + if annotation.file_path and annotation.file_path.file_id: + ann["file_id"] = annotation.file_path.file_id + if annotation.start_index is not None and annotation.end_index is not None: + ann["annotated_regions"] = [ + TextSpanRegion( + type="text_span", + start_index=annotation.start_index, + end_index=annotation.end_index, + ) + ] + text_content.annotations.append(ann) yield ChatResponseUpdate( role=role, # type: ignore[arg-type] - contents=[Content.from_text(delta_block.text.value)], + contents=[text_content], conversation_id=thread_id, message_id=response_id, raw_representation=response.data, diff --git a/python/packages/core/tests/openai/test_openai_assistants_client.py b/python/packages/core/tests/openai/test_openai_assistants_client.py index cf8d74f959..8f39573006 100644 --- a/python/packages/core/tests/openai/test_openai_assistants_client.py +++ b/python/packages/core/tests/openai/test_openai_assistants_client.py @@ -7,6 +7,8 @@ from unittest.mock import AsyncMock, MagicMock import pytest from openai.types.beta.threads import MessageDeltaEvent, Run, TextDeltaBlock +from openai.types.beta.threads.file_citation_delta_annotation import FileCitationDeltaAnnotation +from openai.types.beta.threads.file_path_delta_annotation import FilePathDeltaAnnotation from openai.types.beta.threads.runs import RunStep from pydantic import Field @@ -443,6 +445,120 @@ async def test_process_stream_events_message_delta_text(mock_async_openai: Magic assert update.raw_representation == mock_message_delta +async def test_process_stream_events_message_delta_text_with_file_citation_annotations( + mock_async_openai: MagicMock, +) -> None: + """Test _process_stream_events maps file citation annotations from TextDeltaBlock.""" + client = create_test_openai_assistants_client(mock_async_openai) + + mock_annotation = FileCitationDeltaAnnotation( + index=0, + type="file_citation", + file_citation={"file_id": "file-abc123"}, + start_index=10, + end_index=24, + text="【4:0†source】", + ) + + mock_delta_block = MagicMock(spec=TextDeltaBlock) + mock_delta_block.text = MagicMock() + mock_delta_block.text.value = "Some text 【4:0†source】 more text" + mock_delta_block.text.annotations = [mock_annotation] + + mock_delta = MagicMock() + mock_delta.role = "assistant" + mock_delta.content = [mock_delta_block] + + mock_message_delta = MagicMock(spec=MessageDeltaEvent) + mock_message_delta.delta = mock_delta + + mock_response = MagicMock() + mock_response.event = "thread.message.delta" + mock_response.data = mock_message_delta + + async def async_iterator() -> Any: + yield mock_response + + mock_stream = MagicMock() + mock_stream.__aenter__ = AsyncMock(return_value=async_iterator()) + mock_stream.__aexit__ = AsyncMock(return_value=None) + + thread_id = "thread-789" + updates: list[ChatResponseUpdate] = [] + async for update in client._process_stream_events(mock_stream, thread_id): # type: ignore + updates.append(update) + + assert len(updates) == 1 + update = updates[0] + assert update.text == "Some text 【4:0†source】 more text" + assert update.contents is not None + content = update.contents[0] + assert content.annotations is not None + assert len(content.annotations) == 1 + ann = content.annotations[0] + assert ann["type"] == "citation" + assert ann["file_id"] == "file-abc123" + assert ann["annotated_regions"] is not None + assert ann["annotated_regions"][0]["start_index"] == 10 + assert ann["annotated_regions"][0]["end_index"] == 24 + assert ann["additional_properties"]["text"] == "【4:0†source】" + + +async def test_process_stream_events_message_delta_text_with_file_path_annotations( + mock_async_openai: MagicMock, +) -> None: + """Test _process_stream_events maps file path annotations from TextDeltaBlock.""" + client = create_test_openai_assistants_client(mock_async_openai) + + mock_annotation = FilePathDeltaAnnotation( + index=0, + type="file_path", + file_path={"file_id": "file-xyz789"}, + start_index=5, + end_index=20, + text="sandbox:/path/to/file", + ) + + mock_delta_block = MagicMock(spec=TextDeltaBlock) + mock_delta_block.text = MagicMock() + mock_delta_block.text.value = "Here sandbox:/path/to/file is the file" + mock_delta_block.text.annotations = [mock_annotation] + + mock_delta = MagicMock() + mock_delta.role = "assistant" + mock_delta.content = [mock_delta_block] + + mock_message_delta = MagicMock(spec=MessageDeltaEvent) + mock_message_delta.delta = mock_delta + + mock_response = MagicMock() + mock_response.event = "thread.message.delta" + mock_response.data = mock_message_delta + + async def async_iterator() -> Any: + yield mock_response + + mock_stream = MagicMock() + mock_stream.__aenter__ = AsyncMock(return_value=async_iterator()) + mock_stream.__aexit__ = AsyncMock(return_value=None) + + thread_id = "thread-annotation" + updates: list[ChatResponseUpdate] = [] + async for update in client._process_stream_events(mock_stream, thread_id): # type: ignore + updates.append(update) + + assert len(updates) == 1 + content = updates[0].contents[0] + assert content.annotations is not None + assert len(content.annotations) == 1 + ann = content.annotations[0] + assert ann["type"] == "citation" + assert ann["file_id"] == "file-xyz789" + assert ann["annotated_regions"] is not None + assert ann["annotated_regions"][0]["start_index"] == 5 + assert ann["annotated_regions"][0]["end_index"] == 20 + + async def test_process_stream_events_requires_action(mock_async_openai: MagicMock) -> None: """Test _process_stream_events with thread.run.requires_action event.""" client = create_test_openai_assistants_client(mock_async_openai) From 6f7e55c430ef35ae9f36c806f563d239388419bd Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 07:07:58 +0900 Subject: [PATCH 06/59] 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> --- .../core/agent_framework/_workflows/_agent.py | 13 +++ .../tests/workflow/test_workflow_agent.py | 86 +++++++++++++++++++ 2 files changed, 99 insertions(+) diff --git a/python/packages/core/agent_framework/_workflows/_agent.py b/python/packages/core/agent_framework/_workflows/_agent.py index 3fb83803c4..bf615814b3 100644 --- a/python/packages/core/agent_framework/_workflows/_agent.py +++ b/python/packages/core/agent_framework/_workflows/_agent.py @@ -270,6 +270,11 @@ class WorkflowAgent(BaseAgent): output_events.append(event) result = self._convert_workflow_events_to_agent_response(response_id, output_events) + + # Set the response on the context so after_run providers (e.g. InMemoryHistoryProvider) + # can persist the response messages alongside input messages. + session_context._response = result # type: ignore[assignment] + await self._run_after_providers(session=provider_session, context=session_context) return result @@ -322,12 +327,20 @@ class WorkflowAgent(BaseAgent): # combine the messages session_messages: list[Message] = session_context.get_messages(include_input=True) + all_updates: list[AgentResponseUpdate] = [] async for event in self._run_core( session_messages, checkpoint_id, checkpoint_storage, streaming=True, **kwargs ): updates = self._convert_workflow_event_to_agent_response_updates(response_id, event) for update in updates: + all_updates.append(update) yield update + + # Build the final response from collected updates so after_run providers + # (e.g. InMemoryHistoryProvider) can persist the response messages. + if all_updates: + session_context._response = AgentResponse.from_updates(all_updates) # type: ignore[assignment] + await self._run_after_providers(session=provider_session, context=session_context) async def _run_core( diff --git a/python/packages/core/tests/workflow/test_workflow_agent.py b/python/packages/core/tests/workflow/test_workflow_agent.py index b2fbded39b..d20d60ba3b 100644 --- a/python/packages/core/tests/workflow/test_workflow_agent.py +++ b/python/packages/core/tests/workflow/test_workflow_agent.py @@ -578,6 +578,92 @@ class TestWorkflowAgent: assert "first message" in texts assert "second message" in texts + async def test_multi_turn_session_stores_responses(self) -> None: + """Test that WorkflowAgent stores response messages in session history (issue #1694). + + Previously, session_context._response was not set before running after_run + providers, so InMemoryHistoryProvider never persisted response messages. + On subsequent runs the workflow only received prior user inputs, not prior + assistant responses, breaking multi-turn conversations. + """ + capturing_executor = ConversationHistoryCapturingExecutor(id="multi_turn_test", streaming=False) + workflow = WorkflowBuilder(start_executor=capturing_executor).build() + agent = workflow.as_agent(name="Multi Turn Agent") + session = AgentSession() + + # First turn + await agent.run("My name is Bob", session=session) + + # Second turn — the executor should see prior user+assistant messages plus new input + await agent.run("What is my name?", session=session) + + received = capturing_executor.received_messages + roles = [m.role for m in received] + texts = [m.text for m in received] + + # History should include: user("My name is Bob"), assistant(response), user("What is my name?") + assert len(received) == 3, f"Expected 3 messages (user, assistant, user), got {len(received)}: {roles}" + assert roles[0] == "user" + assert "My name is Bob" in (texts[0] or "") + assert roles[1] == "assistant" + assert roles[2] == "user" + assert "What is my name?" in (texts[2] or "") + + async def test_multi_turn_session_stores_responses_streaming(self) -> None: + """Streaming variant: WorkflowAgent stores response messages in session history.""" + capturing_executor = ConversationHistoryCapturingExecutor(id="multi_turn_stream_test", streaming=True) + workflow = WorkflowBuilder(start_executor=capturing_executor).build() + agent = workflow.as_agent(name="Multi Turn Stream Agent") + session = AgentSession() + + # First turn (streaming) + stream = agent.run("Hello", stream=True, session=session) + async for _ in stream: + pass + await stream.get_final_response() + + # Second turn — should include prior history + stream2 = agent.run("Follow up", stream=True, session=session) + async for _ in stream2: + pass + await stream2.get_final_response() + + received = capturing_executor.received_messages + roles = [m.role for m in received] + + assert len(received) == 3, f"Expected 3 messages, got {len(received)}: {roles}" + assert roles[0] == "user" + assert roles[1] == "assistant" + assert roles[2] == "user" + + async def test_multi_turn_session_roundtrip_serialization(self) -> None: + """Test that session can be serialized/deserialized and multi-turn still works.""" + capturing_executor = ConversationHistoryCapturingExecutor(id="roundtrip_test", streaming=False) + workflow = WorkflowBuilder(start_executor=capturing_executor).build() + agent = workflow.as_agent(name="Roundtrip Agent") + session = AgentSession() + + # First turn + await agent.run("My name is Bob", session=session) + + # Serialize and deserialize the session + serialized = session.to_dict() + restored_session = AgentSession.from_dict(serialized) + + # Second turn with restored session + await agent.run("What is my name?", session=restored_session) + + received = capturing_executor.received_messages + roles = [m.role for m in received] + texts = [m.text for m in received] + + assert len(received) == 3, f"Expected 3 messages, got {len(received)}: {roles}" + assert roles[0] == "user" + assert "My name is Bob" in (texts[0] or "") + assert roles[1] == "assistant" + assert roles[2] == "user" + assert "What is my name?" in (texts[2] or "") + async def test_workflow_agent_keeps_explicit_context_providers(self) -> None: """Test that WorkflowAgent does not append defaults when context providers are explicitly provided.""" workflow = WorkflowBuilder( From ff124c44a99129fd720158928d629c7bd8b319cc Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 07:09:28 +0900 Subject: [PATCH 07/59] Python: Fix single-tool input handling in OpenAIResponsesClient._prepare_tools_for_openai (#4312) * Fix OpenAIResponsesClient mishandling single-tool inputs (#4304) Use normalize_tools() in _prepare_tools_for_openai to wrap single tools (FunctionTool or dict) in a list before iteration, consistent with the chat client implementation. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback for #4304 - Use precise type annotation matching normalize_tools/OpenAIChatClient signature instead of collapsed Sequence[Any] | Any | None - Move emptiness guard after normalize_tools() call so single falsy tool objects are not silently swallowed - Import ToolTypes for the type annotation - Expand test_prepare_tools_for_openai_single_function_tool assertions to verify parameters, strict, and parameter schema fields - Add test_prepare_tools_for_openai_none to verify None input returns [] Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../openai/_responses_client.py | 13 ++++-- .../openai/test_openai_responses_client.py | 46 +++++++++++++++++++ 2 files changed, 55 insertions(+), 4 deletions(-) diff --git a/python/packages/core/agent_framework/openai/_responses_client.py b/python/packages/core/agent_framework/openai/_responses_client.py index fa140ee0b7..5ba0bbc686 100644 --- a/python/packages/core/agent_framework/openai/_responses_client.py +++ b/python/packages/core/agent_framework/openai/_responses_client.py @@ -43,6 +43,8 @@ from .._tools import ( FunctionInvocationConfiguration, FunctionInvocationLayer, FunctionTool, + ToolTypes, + normalize_tools, ) from .._types import ( Annotation, @@ -425,21 +427,24 @@ class RawOpenAIResponsesClient( # type: ignore[misc] # region Prep methods - def _prepare_tools_for_openai(self, tools: Sequence[Any] | None) -> list[Any]: + def _prepare_tools_for_openai( + self, tools: ToolTypes | Callable[..., Any] | Sequence[ToolTypes | Callable[..., Any]] | None + ) -> list[Any]: """Prepare tools for the OpenAI Responses API. Converts FunctionTool to Responses API format. All other tools pass through unchanged. Args: - tools: Sequence of tools to prepare. + tools: A single tool or sequence of tools to prepare. Returns: List of tool parameters ready for the OpenAI API. """ - if not tools: + tools_list = normalize_tools(tools) + if not tools_list: return [] response_tools: list[Any] = [] - for tool in tools: + for tool in tools_list: if isinstance(tool, FunctionTool): params = tool.parameters() params["additionalProperties"] = False diff --git a/python/packages/core/tests/openai/test_openai_responses_client.py b/python/packages/core/tests/openai/test_openai_responses_client.py index 12e5b42d6d..7eaae1e776 100644 --- a/python/packages/core/tests/openai/test_openai_responses_client.py +++ b/python/packages/core/tests/openai/test_openai_responses_client.py @@ -1193,6 +1193,52 @@ def test_prepare_tools_for_openai_with_mcp() -> None: assert "require_approval" in mcp +def test_prepare_tools_for_openai_single_function_tool() -> None: + """Test that a single FunctionTool (not wrapped in a list) is handled correctly.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + + @tool + def hello(name: str) -> str: + """Say hello.""" + return name + + resp_tools = client._prepare_tools_for_openai(hello) + assert isinstance(resp_tools, list) + assert len(resp_tools) == 1 + tool_def = resp_tools[0] + assert tool_def["type"] == "function" + assert tool_def["name"] == "hello" + assert tool_def["strict"] is False + assert "parameters" in tool_def + params = tool_def["parameters"] + assert isinstance(params, dict) + assert params.get("type") == "object" + assert "properties" in params + assert "name" in params["properties"] + assert params["properties"]["name"]["type"] == "string" + + +def test_prepare_tools_for_openai_single_dict_tool() -> None: + """Test that a single dict tool (not wrapped in a list) is handled correctly.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + + web_tool = OpenAIResponsesClient.get_web_search_tool(search_context_size="low") + resp_tools = client._prepare_tools_for_openai(web_tool) + assert isinstance(resp_tools, list) + assert len(resp_tools) == 1 + assert "type" in resp_tools[0] + assert resp_tools[0]["search_context_size"] == "low" + + +def test_prepare_tools_for_openai_none() -> None: + """Test that passing None returns an empty list.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + + resp_tools = client._prepare_tools_for_openai(None) + assert isinstance(resp_tools, list) + assert len(resp_tools) == 0 + + def test_parse_response_from_openai_with_mcp_approval_request() -> None: """Test that a non-streaming mcp_approval_request is parsed into FunctionApprovalRequestContent.""" client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") From 54c0bea3b6b5c6b396e7ae79724077e4038a252e Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 07:09:36 +0900 Subject: [PATCH 08/59] Python: Fix agent option merge to support dict-defined tools (#4314) * Fix _merge_options dropping dict-defined tools (#4303) _merge_options used getattr(tool, 'name', None) to de-duplicate tools, which returns None for dict-style tool definitions. This caused all override dict tools to be treated as duplicates of each other and of any base dict tools, silently dropping them. Add _get_tool_name() helper that extracts the name from both object-style tools (via .name attribute) and dict-style tools (via tool['function']['name']). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review: fix None dedup bug and add comprehensive tests (#4303) - Exclude None from existing_names set so nameless/malformed tools are not silently deduplicated against each other - Add test for cross-type dedup (dict tool + object tool with same name) - Add test verifying nameless tools are preserved (not falsely deduped) - Add unit tests for _get_tool_name edge cases: missing function key, non-dict function value, missing name, no name attribute, non-dict inputs, and valid dict/object tools Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../packages/core/agent_framework/_agents.py | 14 +- .../packages/core/tests/core/test_agents.py | 148 +++++++++++++++++- 2 files changed, 159 insertions(+), 3 deletions(-) diff --git a/python/packages/core/agent_framework/_agents.py b/python/packages/core/agent_framework/_agents.py index 580b6e2c6d..a519796b17 100644 --- a/python/packages/core/agent_framework/_agents.py +++ b/python/packages/core/agent_framework/_agents.py @@ -81,6 +81,16 @@ OptionsCoT = TypeVar( ) +def _get_tool_name(tool: Any) -> str | None: + """Extract a tool's name from either an object with a .name attribute or a dict tool definition.""" + if isinstance(tool, dict): + func = tool.get("function") + if isinstance(func, dict): + return func.get("name") + return None + return getattr(tool, "name", None) + + def _merge_options(base: dict[str, Any], override: dict[str, Any]) -> dict[str, Any]: """Merge two options dicts, with override values taking precedence. @@ -97,8 +107,8 @@ def _merge_options(base: dict[str, Any], override: dict[str, Any]) -> dict[str, continue if key == "tools" and result.get("tools"): # Combine tool lists, avoiding duplicates by name - existing_names = {getattr(t, "name", None) for t in result["tools"]} - unique_new = [t for t in value if getattr(t, "name", None) not in existing_names] + existing_names = {_get_tool_name(t) for t in result["tools"]} - {None} + unique_new = [t for t in value if _get_tool_name(t) not in existing_names] result["tools"] = list(result["tools"]) + unique_new elif key == "logit_bias" and result.get("logit_bias"): # Merge logit_bias dicts diff --git a/python/packages/core/tests/core/test_agents.py b/python/packages/core/tests/core/test_agents.py index b6f84dc970..a857682fe2 100644 --- a/python/packages/core/tests/core/test_agents.py +++ b/python/packages/core/tests/core/test_agents.py @@ -25,7 +25,7 @@ from agent_framework import ( SupportsChatGetResponse, tool, ) -from agent_framework._agents import _merge_options, _sanitize_agent_name +from agent_framework._agents import _get_tool_name, _merge_options, _sanitize_agent_name from agent_framework._mcp import MCPTool @@ -932,6 +932,152 @@ def test_merge_options_tools_combined(): assert "tool2" in tool_names +def test_merge_options_dict_tools_combined(): + """Test _merge_options combines dict-defined tool lists without duplicates.""" + base = { + "tools": [ + {"type": "function", "function": {"name": "tool_a"}}, + ] + } + override = { + "tools": [ + {"type": "function", "function": {"name": "tool_b"}}, + ] + } + + result = _merge_options(base, override) + + assert len(result["tools"]) == 2 + names = [_get_tool_name(t) for t in result["tools"]] + assert "tool_a" in names + assert "tool_b" in names + + +def test_merge_options_dict_tools_deduplicates(): + """Test _merge_options deduplicates dict-defined tools by function name.""" + base = { + "tools": [ + {"type": "function", "function": {"name": "tool_a"}}, + ] + } + override = { + "tools": [ + {"type": "function", "function": {"name": "tool_a"}}, + {"type": "function", "function": {"name": "tool_b"}}, + ] + } + + result = _merge_options(base, override) + + assert len(result["tools"]) == 2 + names = [_get_tool_name(t) for t in result["tools"]] + assert names.count("tool_a") == 1 + assert "tool_b" in names + + +def test_merge_options_mixed_tools_combined(): + """Test _merge_options combines object and dict-defined tools.""" + + class MockTool: + def __init__(self, name): + self.name = name + + base = {"tools": [MockTool("tool_a")]} + override = { + "tools": [ + {"type": "function", "function": {"name": "tool_b"}}, + ] + } + + result = _merge_options(base, override) + + assert len(result["tools"]) == 2 + names = [_get_tool_name(t) for t in result["tools"]] + assert "tool_a" in names + assert "tool_b" in names + + +def test_merge_options_mixed_tools_deduplicates(): + """Test _merge_options deduplicates when a dict tool and object tool share the same name.""" + + class MockTool: + def __init__(self, name): + self.name = name + + base = {"tools": [MockTool("tool_a")]} + override = { + "tools": [ + {"type": "function", "function": {"name": "tool_a"}}, + ] + } + + result = _merge_options(base, override) + + assert len(result["tools"]) == 1 + assert _get_tool_name(result["tools"][0]) == "tool_a" + + +def test_merge_options_nameless_tools_not_deduplicated(): + """Test that tools with no extractable name (None) are not falsely deduplicated.""" + base = { + "tools": [ + {"type": "function"}, # no 'function.name' -> _get_tool_name returns None + ] + } + override = { + "tools": [ + {"type": "function"}, # also returns None + ] + } + + result = _merge_options(base, override) + + # Both nameless tools should be kept (None is excluded from dedup set) + assert len(result["tools"]) == 2 + + +def test_get_tool_name_dict_no_function_key(): + """_get_tool_name returns None for a dict without a 'function' key.""" + assert _get_tool_name({"type": "function"}) is None + + +def test_get_tool_name_dict_function_not_dict(): + """_get_tool_name returns None when 'function' value is not a dict.""" + assert _get_tool_name({"function": "not_a_dict"}) is None + + +def test_get_tool_name_dict_function_no_name(): + """_get_tool_name returns None when 'function' dict has no 'name' key.""" + assert _get_tool_name({"function": {"description": "does stuff"}}) is None + + +def test_get_tool_name_object_no_name_attr(): + """_get_tool_name returns None for an object without a 'name' attribute.""" + assert _get_tool_name(object()) is None + + +def test_get_tool_name_non_dict_non_object(): + """_get_tool_name returns None for non-dict inputs like int or string.""" + assert _get_tool_name(42) is None + assert _get_tool_name("tool_name") is None + + +def test_get_tool_name_valid_dict(): + """_get_tool_name extracts name from a well-formed dict tool.""" + tool_dict = {"type": "function", "function": {"name": "my_tool"}} + assert _get_tool_name(tool_dict) == "my_tool" + + +def test_get_tool_name_valid_object(): + """_get_tool_name extracts name from an object with a name attribute.""" + + class MockTool: + def __init__(self, name): + self.name = name + + assert _get_tool_name(MockTool("my_tool")) == "my_tool" + + def test_merge_options_logit_bias_merged(): """Test _merge_options merges logit_bias dicts.""" base = {"logit_bias": {"token1": 1.0}} From c45d47d4b24b59e23bceb0625ca2cd8f7259b88b Mon Sep 17 00:00:00 2001 From: Tao Chen Date: Thu, 26 Feb 2026 18:45:10 -0800 Subject: [PATCH 09/59] 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 --- .../sample-validation-setup/action.yml | 48 +++++ .../workflows/python-sample-validation.yml | 190 +++++++++--------- .../agent_framework_azurefunctions/_app.py | 6 +- .../packages/core/agent_framework/_types.py | 12 +- .../agent_framework/_workflows/_workflow.py | 1 - .../agent_framework_devui/_deployment.py | 3 +- python/pyproject.toml | 2 + .../create_dynamic_workflow_executor.py | 5 +- python/samples/_sample_validation/report.py | 16 +- 9 files changed, 171 insertions(+), 112 deletions(-) create mode 100644 .github/actions/sample-validation-setup/action.yml diff --git a/.github/actions/sample-validation-setup/action.yml b/.github/actions/sample-validation-setup/action.yml new file mode 100644 index 0000000000..3736348579 --- /dev/null +++ b/.github/actions/sample-validation-setup/action.yml @@ -0,0 +1,48 @@ +name: Sample Validation Setup +description: Sets up the environment for sample validation (checkout, Node.js, Copilot CLI, Azure login, Python) + +inputs: + azure-client-id: + description: Azure Client ID for OIDC login + required: true + azure-tenant-id: + description: Azure Tenant ID for OIDC login + required: true + azure-subscription-id: + description: Azure Subscription ID for OIDC login + required: true + python-version: + description: The Python version to set up + required: false + default: "3.12" + os: + description: The operating system to set up + required: false + default: "Linux" + +runs: + using: "composite" + steps: + - name: Set up Node.js environment + uses: actions/setup-node@v4 + + - name: Install Copilot CLI + shell: bash + run: npm install -g @github/copilot + + - name: Test Copilot CLI + shell: bash + run: copilot -p "What can you do in one sentence?" + + - name: Azure CLI Login + uses: azure/login@v2 + with: + client-id: ${{ inputs.azure-client-id }} + tenant-id: ${{ inputs.azure-tenant-id }} + subscription-id: ${{ inputs.azure-subscription-id }} + + - name: Set up python and install the project + uses: ./.github/actions/python-setup + with: + python-version: ${{ inputs.python-version }} + os: ${{ inputs.os }} diff --git a/.github/workflows/python-sample-validation.yml b/.github/workflows/python-sample-validation.yml index ba43394483..1ada1ab113 100644 --- a/.github/workflows/python-sample-validation.yml +++ b/.github/workflows/python-sample-validation.yml @@ -8,32 +8,38 @@ on: env: # Configure a constant location for the uv cache UV_CACHE_DIR: /tmp/.uv-cache + # GitHub Copilot configuration + GITHUB_COPILOT_MODEL: claude-opus-4.6 + COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }} + +permissions: + contents: read + id-token: write jobs: validate-01-get-started: name: Validate 01-get-started runs-on: ubuntu-latest - permissions: - contents: read + environment: integration env: - # Azure AI configuration for get-started samples - AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }} - AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }} - # GitHub Copilot configuration - GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }} + # Required configuration for get-started samples + AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }} + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} + AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} defaults: run: working-directory: python steps: - uses: actions/checkout@v6 - - name: Set up python and install the project - uses: ./.github/actions/python-setup + - name: Setup environment + uses: ./.github/actions/sample-validation-setup with: - python-version: "3.12" + azure-client-id: ${{ secrets.AZURE_CLIENT_ID }} + azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }} + azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} os: ${{ runner.os }} - env: - UV_CACHE_DIR: /tmp/.uv-cache - name: Run sample validation run: | @@ -49,37 +55,34 @@ jobs: validate-02-agents: name: Validate 02-agents runs-on: ubuntu-latest - permissions: - contents: read + environment: integration env: # Azure AI configuration - AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }} - AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }} + AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }} + AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # Azure OpenAI configuration - AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }} - AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }} - AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }} + AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # OpenAI configuration OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} - OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_ID }} - OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_RESPONSES_MODEL_ID }} + OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }} + OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_REASONING_MODEL_NAME }} # Observability ENABLE_INSTRUMENTATION: "true" - # GitHub Copilot configuration - GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }} defaults: run: working-directory: python steps: - uses: actions/checkout@v6 - - name: Set up python and install the project - uses: ./.github/actions/python-setup + - name: Setup environment + uses: ./.github/actions/sample-validation-setup with: - python-version: "3.12" + azure-client-id: ${{ secrets.AZURE_CLIENT_ID }} + azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }} + azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} os: ${{ runner.os }} - env: - UV_CACHE_DIR: /tmp/.uv-cache - name: Run sample validation run: | @@ -95,31 +98,28 @@ jobs: validate-03-workflows: name: Validate 03-workflows runs-on: ubuntu-latest - permissions: - contents: read + environment: integration env: # Azure AI configuration - AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }} - AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }} + AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }} + AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # Azure OpenAI configuration - AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }} - AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }} - AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }} - # GitHub Copilot configuration - GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }} + AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} defaults: run: working-directory: python steps: - uses: actions/checkout@v6 - - name: Set up python and install the project - uses: ./.github/actions/python-setup + - name: Setup environment + uses: ./.github/actions/sample-validation-setup with: - python-version: "3.12" + azure-client-id: ${{ secrets.AZURE_CLIENT_ID }} + azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }} + azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} os: ${{ runner.os }} - env: - UV_CACHE_DIR: /tmp/.uv-cache - name: Run sample validation run: | @@ -134,31 +134,31 @@ jobs: validate-04-hosting: name: Validate 04-hosting + if: false # Temporarily disabled because of sample complexity runs-on: ubuntu-latest - permissions: - contents: read + environment: integration env: # Azure AI configuration - AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }} - AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }} + AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }} + AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # Azure OpenAI configuration - AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }} - AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }} - # GitHub Copilot configuration - GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }} + AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} + # A2A configuration + A2A_AGENT_HOST: http://localhost:5001/ defaults: run: working-directory: python steps: - uses: actions/checkout@v6 - - name: Set up python and install the project - uses: ./.github/actions/python-setup + - name: Setup environment + uses: ./.github/actions/sample-validation-setup with: - python-version: "3.12" + azure-client-id: ${{ secrets.AZURE_CLIENT_ID }} + azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }} + azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} os: ${{ runner.os }} - env: - UV_CACHE_DIR: /tmp/.uv-cache - name: Run sample validation run: | @@ -173,36 +173,36 @@ jobs: validate-05-end-to-end: name: Validate 05-end-to-end + if: false # Temporarily disabled because of sample complexity runs-on: ubuntu-latest - permissions: - contents: read + environment: integration env: # Azure AI configuration - AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }} - AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }} + AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }} + AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # Azure OpenAI configuration - AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }} - AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }} - AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }} + AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # Azure AI Search (for evaluation samples) AZURE_SEARCH_ENDPOINT: ${{ secrets.AZURE_SEARCH_ENDPOINT }} AZURE_SEARCH_API_KEY: ${{ secrets.AZURE_SEARCH_API_KEY }} AZURE_SEARCH_INDEX_NAME: ${{ secrets.AZURE_SEARCH_INDEX_NAME }} - # GitHub Copilot configuration - GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }} + # Evaluation sample + AZURE_AI_MODEL_DEPLOYMENT_NAME_WORKFLOW: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} defaults: run: working-directory: python steps: - uses: actions/checkout@v6 - - name: Set up python and install the project - uses: ./.github/actions/python-setup + - name: Setup environment + uses: ./.github/actions/sample-validation-setup with: - python-version: "3.12" + azure-client-id: ${{ secrets.AZURE_CLIENT_ID }} + azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }} + azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} os: ${{ runner.os }} - env: - UV_CACHE_DIR: /tmp/.uv-cache - name: Run sample validation run: | @@ -218,30 +218,31 @@ jobs: validate-autogen-migration: name: Validate autogen-migration runs-on: ubuntu-latest - permissions: - contents: read + environment: integration env: # Azure AI configuration - AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }} - AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }} + AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }} + AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # Azure OpenAI configuration - AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }} - AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }} - # GitHub Copilot configuration - GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }} + AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} + # OpenAI configuration + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }} + OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_REASONING_MODEL_NAME }} defaults: run: working-directory: python steps: - uses: actions/checkout@v6 - - name: Set up python and install the project - uses: ./.github/actions/python-setup + - name: Setup environment + uses: ./.github/actions/sample-validation-setup with: - python-version: "3.12" + azure-client-id: ${{ secrets.AZURE_CLIENT_ID }} + azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }} + azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} os: ${{ runner.os }} - env: - UV_CACHE_DIR: /tmp/.uv-cache - name: Run sample validation run: | @@ -257,16 +258,15 @@ jobs: validate-semantic-kernel-migration: name: Validate semantic-kernel-migration runs-on: ubuntu-latest - permissions: - contents: read + environment: integration env: # Azure AI configuration - AZURE_AI_PROJECT_ENDPOINT: ${{ secrets.AZURE_AI_PROJECT_ENDPOINT }} - AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ secrets.AZURE_AI_MODEL_DEPLOYMENT_NAME }} + AZURE_AI_PROJECT_ENDPOINT: ${{ vars.AZURE_AI_PROJECT_ENDPOINT }} + AZURE_AI_MODEL_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # Azure OpenAI configuration - AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }} - AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }} - AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME }} + AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} + AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # OpenAI configuration OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_ID }} @@ -276,21 +276,19 @@ jobs: COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }} COPILOTSTUDIOAGENT__TENANTID: ${{ secrets.COPILOTSTUDIOAGENT__TENANTID }} COPILOTSTUDIOAGENT__AGENTAPPID: ${{ secrets.COPILOTSTUDIOAGENT__AGENTAPPID }} - # GitHub Copilot configuration - GITHUB_COPILOT_MODEL: ${{ vars.GITHUB_COPILOT_MODEL }} defaults: run: working-directory: python steps: - uses: actions/checkout@v6 - - name: Set up python and install the project - uses: ./.github/actions/python-setup + - name: Setup environment + uses: ./.github/actions/sample-validation-setup with: - python-version: "3.12" + azure-client-id: ${{ secrets.AZURE_CLIENT_ID }} + azure-tenant-id: ${{ secrets.AZURE_TENANT_ID }} + azure-subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} os: ${{ runner.os }} - env: - UV_CACHE_DIR: /tmp/.uv-cache - name: Run sample validation run: | diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py index 01735e28d1..c7d8552b24 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -612,11 +612,11 @@ class AgentFunctionApp(DFAppBase): context: Durable Functions orchestration context invoking the agent. agent_name: Name of the agent registered on this app. - Raises: - ValueError: If the requested agent has not been registered. - Returns: DurableAIAgent[AgentTask] wrapper bound to the orchestration context. + + Raises: + ValueError: If the requested agent has not been registered. """ normalized_name = str(agent_name) diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py index 37ee9f1138..3df0bb20fb 100644 --- a/python/packages/core/agent_framework/_types.py +++ b/python/packages/core/agent_framework/_types.py @@ -93,13 +93,13 @@ def detect_media_type_from_base64( This will look at the actual data to determine the media_type and not at the URI prefix. Will also not compare those two values. - Raises: - ValueError: If not exactly 1 of data_bytes, data_str, or data_uri is provided, or if base64 decoding fails. - Returns: The detected media type (e.g., 'image/png', 'audio/wav', 'application/pdf') or None if the format is not recognized. + Raises: + ValueError: If not exactly 1 of data_bytes, data_str, or data_uri is provided, or if base64 decoding fails. + Examples: .. code-block:: python @@ -670,6 +670,9 @@ class Content: additional_properties: Optional additional properties. raw_representation: Optional raw representation from an underlying implementation. + Returns: + A Content instance with type="data" for data URIs or type="uri" for external URIs. + Raises: ContentError: If the URI is not valid. @@ -693,9 +696,6 @@ class Content: raw_base64_string }" ) - - Returns: - A Content instance with type="data" for data URIs or type="uri" for external URIs. """ return cls( **_validate_uri(uri, media_type), diff --git a/python/packages/core/agent_framework/_workflows/_workflow.py b/python/packages/core/agent_framework/_workflows/_workflow.py index f545fbe5d8..8c6b5fe1fb 100644 --- a/python/packages/core/agent_framework/_workflows/_workflow.py +++ b/python/packages/core/agent_framework/_workflows/_workflow.py @@ -374,7 +374,6 @@ class Workflow(DictConvertible): with _framework_event_origin(): pending_status = WorkflowEvent.status(WorkflowRunState.IN_PROGRESS_PENDING_REQUESTS) yield pending_status - # Workflow runs until idle - emit final status based on whether requests are pending if saw_request: with _framework_event_origin(): diff --git a/python/packages/devui/agent_framework_devui/_deployment.py b/python/packages/devui/agent_framework_devui/_deployment.py index 45f99a315a..db2de27ecf 100644 --- a/python/packages/devui/agent_framework_devui/_deployment.py +++ b/python/packages/devui/agent_framework_devui/_deployment.py @@ -92,8 +92,7 @@ class DeploymentManager: break # Get event from queue with short timeout - event = await asyncio.wait_for(event_queue.get(), timeout=0.1) - yield event + yield await asyncio.wait_for(event_queue.get(), timeout=0.1) except asyncio.TimeoutError: # No event in queue, continue waiting continue diff --git a/python/pyproject.toml b/python/pyproject.toml index a03123e9a2..e4e45f0290 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -148,6 +148,8 @@ ignore = [ "**/tests/**" = ["D", "INP", "TD", "ERA001", "RUF", "S"] "samples/**" = ["D", "INP", "ERA001", "RUF", "S", "T201", "CPY"] "*.ipynb" = ["CPY", "E501"] +# RUF070: Assignment before yield is intentional - context manager must exit before yielding +"**/agent_framework/_workflows/_workflow.py" = ["RUF070"] [tool.ruff.format] docstring-code-format = true diff --git a/python/samples/_sample_validation/create_dynamic_workflow_executor.py b/python/samples/_sample_validation/create_dynamic_workflow_executor.py index a8fd2011b4..bff720130d 100644 --- a/python/samples/_sample_validation/create_dynamic_workflow_executor.py +++ b/python/samples/_sample_validation/create_dynamic_workflow_executor.py @@ -53,9 +53,10 @@ class BatchCompletion: AgentInstruction = ( "You are validating exactly one Python sample.\n" - "Analyze the sample code and execute it. Determine if it runs successfully, fails, or times out.\n" + "Analyze the sample code and execute it. Based on the execution result, determine if it " + "runs successfully, fails, or times out. Feel free to install any required dependencies.\n" "The sample can be interactive. If it is interactive, respond to the sample when prompted " - "based on your analysis of the code. You do not need to consult human on what to respond\n" + "based on your analysis of the code. You do not need to consult human on what to respond.\n" "Return ONLY valid JSON with this schema:\n" "{\n" ' "status": "success|failure|timeout|error",\n' diff --git a/python/samples/_sample_validation/report.py b/python/samples/_sample_validation/report.py index d6083f44f6..9d02d342d4 100644 --- a/python/samples/_sample_validation/report.py +++ b/python/samples/_sample_validation/report.py @@ -21,6 +21,14 @@ def generate_report(results: list[RunResult]) -> Report: Returns: Report object with aggregated statistics """ + # Sort results: failures, timeouts, errors first, then successes + status_priority = { + RunStatus.FAILURE: 0, + RunStatus.TIMEOUT: 1, + RunStatus.ERROR: 2, + RunStatus.SUCCESS: 3, + } + sorted_results = sorted(results, key=lambda r: status_priority[r.status]) return Report( timestamp=datetime.now(), @@ -29,7 +37,7 @@ def generate_report(results: list[RunResult]) -> Report: failure_count=sum(1 for r in results if r.status == RunStatus.FAILURE), timeout_count=sum(1 for r in results if r.status == RunStatus.TIMEOUT), error_count=sum(1 for r in results if r.status == RunStatus.ERROR), - results=results, + results=sorted_results, ) @@ -84,9 +92,13 @@ def print_summary(report: Report) -> None: print(f" [PASS] Success: {report.success_count}") print(f" [FAIL] Failure: {report.failure_count}") print(f" [TIMEOUT] Timeout: {report.timeout_count}") - print(f" [ERROR] Error: {report.error_count}") + print(f" [ERR] Errors: {report.error_count}") print("=" * 80) + # Print JSON output for GitHub Actions visibility + print("\nJSON Report:") + print(json.dumps(report.to_dict(), indent=2)) + class GenerateReportExecutor(Executor): """Executor that generates the final validation report.""" From 0d6b9d61a5a7b02a8ca5e60daebc95478bf918aa Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Fri, 27 Feb 2026 11:59:57 +0900 Subject: [PATCH 10/59] Python: Fix executor handler type resolution when using `from __future__ import annotations` (#4317) * Python: Fix Executor handler type checking with __future__ annotations (#3898) Use typing.get_type_hints() in _validate_handler_signature to resolve string annotations from `from __future__ import annotations`. This mirrors the fix applied to FunctionExecutor in #2308. When __future__ annotations are enabled, type annotations are stored as strings. The handler decorator was passing these strings directly to validate_workflow_context_annotation, which uses typing.get_origin and returns None for strings, causing a ValueError. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback for #3898: improve error handling and test coverage - Wrap typing.get_type_hints() in try/except to provide a descriptive ValueError mentioning the handler name when annotations cannot be resolved - Strengthen bare context test to assert output_types and workflow_output_types - Add test for @handler(input=..., output=...) with future annotations covering the skip_message_annotation branch - Add test for union-type context annotations with future annotations Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Narrow exception catch and add test for unresolvable annotations (#3898) - Narrow except clause from bare Exception to (NameError, AttributeError, TypeError) to avoid masking unexpected errors. - Add test_handler_unresolvable_annotation_raises to verify that a handler with a forward-reference to a non-existent type raises ValueError with the expected message. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix #3898: fall back to raw annotations when get_type_hints fails When typing.get_type_hints(func) raises NameError (unresolvable forward ref), AttributeError, RecursionError, or any other exception, fall back to the raw parameter annotations instead of raising a ValueError. This matches the suggestion from @moonbox3 on PR #4317. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix test to match new fallback behavior when get_type_hints fails (#3898) The code now falls back to raw string annotations instead of raising 'Failed to resolve type annotations'. A ValueError is still raised when the raw string ctx annotation is not a valid WorkflowContext type, so update the test to match on ValueError without checking the message. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply pyupgrade: remove unnecessary string annotation quote * Add noqa for intentionally undefined name in annotation test --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../agent_framework/_workflows/_executor.py | 19 ++- .../tests/workflow/test_executor_future.py | 124 ++++++++++++++++++ 2 files changed, 139 insertions(+), 4 deletions(-) create mode 100644 python/packages/core/tests/workflow/test_executor_future.py diff --git a/python/packages/core/agent_framework/_workflows/_executor.py b/python/packages/core/agent_framework/_workflows/_executor.py index f219c0c28f..d2bb2ac598 100644 --- a/python/packages/core/agent_framework/_workflows/_executor.py +++ b/python/packages/core/agent_framework/_workflows/_executor.py @@ -6,6 +6,7 @@ import functools import inspect import logging import types +import typing from collections.abc import Awaitable, Callable from typing import Any, TypeVar, overload @@ -722,20 +723,30 @@ def _validate_handler_signature( if not skip_message_annotation and message_param.annotation == inspect.Parameter.empty: raise ValueError(f"Handler {func.__name__} must have a type annotation for the message parameter") + # Resolve string annotations from `from __future__ import annotations`. + # Fall back to raw annotations if resolution fails (e.g. unresolvable forward refs, + # AttributeError, or RecursionError), so registration failures are easier to diagnose. + try: + type_hints = typing.get_type_hints(func) + except Exception: + type_hints = {p.name: p.annotation for p in params} + # Validate ctx parameter is WorkflowContext and extract type args ctx_param = params[2] - if skip_message_annotation and ctx_param.annotation == inspect.Parameter.empty: + ctx_annotation = type_hints.get(ctx_param.name, ctx_param.annotation) + if skip_message_annotation and ctx_annotation == inspect.Parameter.empty: # When explicit types are provided via @handler(input=..., output=...), # the ctx parameter doesn't need a type annotation - types come from the decorator. output_types: list[type[Any] | types.UnionType] = [] workflow_output_types: list[type[Any] | types.UnionType] = [] else: output_types, workflow_output_types = validate_workflow_context_annotation( - ctx_param.annotation, f"parameter '{ctx_param.name}'", "Handler" + ctx_annotation, f"parameter '{ctx_param.name}'", "Handler" ) - message_type = message_param.annotation if message_param.annotation != inspect.Parameter.empty else None - ctx_annotation = ctx_param.annotation + message_type = type_hints.get(message_param.name, message_param.annotation) + if message_type == inspect.Parameter.empty: + message_type = None return message_type, ctx_annotation, output_types, workflow_output_types diff --git a/python/packages/core/tests/workflow/test_executor_future.py b/python/packages/core/tests/workflow/test_executor_future.py new file mode 100644 index 0000000000..c0916b9cf7 --- /dev/null +++ b/python/packages/core/tests/workflow/test_executor_future.py @@ -0,0 +1,124 @@ +# Copyright (c) Microsoft. All rights reserved. + +from __future__ import annotations + +from typing import Any + +import pytest +from pydantic import BaseModel + +from agent_framework import Executor, WorkflowContext, handler + + +class MyTypeA(BaseModel): + pass + + +class MyTypeB(BaseModel): + pass + + +class MyTypeC(BaseModel): + pass + + +class TestExecutorFutureAnnotations: + """Test suite for Executor with from __future__ import annotations.""" + + def test_handler_decorator_future_annotations(self): + """Test @handler decorator works with stringified annotations (issue #3898).""" + + class MyExecutor(Executor): + @handler + async def example(self, input: str, ctx: WorkflowContext[MyTypeA, MyTypeB]) -> None: + pass + + exec_instance = MyExecutor(id="test") + assert str in exec_instance._handlers + spec = exec_instance._handler_specs[0] + assert spec["message_type"] is str + assert spec["output_types"] == [MyTypeA] + assert spec["workflow_output_types"] == [MyTypeB] + + def test_handler_decorator_future_annotations_single_type_arg(self): + """Test @handler with single type argument and future annotations.""" + + class MyExecutor(Executor): + @handler + async def example(self, input: int, ctx: WorkflowContext[MyTypeA]) -> None: + pass + + exec_instance = MyExecutor(id="test") + assert int in exec_instance._handlers + spec = exec_instance._handler_specs[0] + assert spec["message_type"] is int + assert spec["output_types"] == [MyTypeA] + + def test_handler_decorator_future_annotations_complex(self): + """Test @handler with complex type annotations and future annotations.""" + + class MyExecutor(Executor): + @handler + async def example(self, data: dict[str, Any], ctx: WorkflowContext[list[str]]) -> None: + pass + + exec_instance = MyExecutor(id="test") + spec = exec_instance._handler_specs[0] + assert spec["message_type"] == dict[str, Any] + assert spec["output_types"] == [list[str]] + + def test_handler_decorator_future_annotations_bare_context(self): + """Test @handler with bare WorkflowContext and future annotations.""" + + class MyExecutor(Executor): + @handler + async def example(self, input: str, ctx: WorkflowContext) -> None: + pass + + exec_instance = MyExecutor(id="test") + assert str in exec_instance._handlers + spec = exec_instance._handler_specs[0] + assert spec["output_types"] == [] + assert spec["workflow_output_types"] == [] + + def test_handler_decorator_future_annotations_explicit_types(self): + """Test @handler with explicit type parameters under future annotations.""" + + class MyExecutor(Executor): + @handler(input=str, output=MyTypeA) + async def example(self, input, ctx) -> None: + pass + + exec_instance = MyExecutor(id="test") + assert str in exec_instance._handlers + spec = exec_instance._handler_specs[0] + assert spec["message_type"] is str + assert spec["output_types"] == [MyTypeA] + + def test_handler_decorator_future_annotations_union_context(self): + """Test @handler with union type context annotations and future annotations.""" + + class MyExecutor(Executor): + @handler + async def example(self, input: str, ctx: WorkflowContext[MyTypeA | MyTypeB, MyTypeC]) -> None: + pass + + exec_instance = MyExecutor(id="test") + assert str in exec_instance._handlers + spec = exec_instance._handler_specs[0] + assert spec["output_types"] == [MyTypeA, MyTypeB] + assert spec["workflow_output_types"] == [MyTypeC] + + def test_handler_unresolvable_annotation_raises(self): + """Test that an unresolvable forward-reference annotation raises ValueError. + + When get_type_hints fails (e.g. NameError for NonExistentType), the code falls back + to raw string annotations. The ctx parameter's raw string annotation is then not + recognised as a valid WorkflowContext type, so a ValueError is still raised. + """ + with pytest.raises(ValueError): + + class Bad(Executor): + @handler + async def example(self, input: NonExistentType, ctx: WorkflowContext[MyTypeA, MyTypeB]) -> None: # noqa: F821 + pass From 9124d51e0eda5f3bc790a6c5f8fc5c7605c62f02 Mon Sep 17 00:00:00 2001 From: Victor Dibia Date: Mon, 2 Mar 2026 02:34:25 -0800 Subject: [PATCH 11/59] Python: .NET: Fix .NET conversation memory in DevUI (#3484) (#4294) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Fix .NET conversation memory in DevUI (#3484) * formatting fixes * fix memory regression in python devui , fix for #4123 * Fix for #3983: Added _get_event_type() helper that safely accesses event type on both objects (.type) and dicts (.get("type")). Replaced all 4 bare event.type accesses in _executor.py (lines 267, 477, 499, 523). Root cause: PR #3690 changed event.__class__.__name__ == "RequestInfoEvent" (safe) to event.type == "request_info" (crashes on dicts), but _execute_workflow still yields raw dicts on error paths. Test: test_workflow_error_yields_dict_event_without_crash — mocks a workflow that raises, verifies execute_entity consumes the dict error events without crashing. * format fixes * lint fixes --- .../Responses/AIAgentResponseExecutor.cs | 8 +- .../Converters/ItemResourceConversions.cs | 113 ++++++++++++++++++ .../Responses/HostedAgentResponseExecutor.cs | 6 + .../Responses/IResponseExecutor.cs | 3 + .../Responses/InMemoryResponsesService.cs | 19 ++- .../OpenAIResponsesIntegrationTests.cs | 92 ++++++++++++++ .../TestHelpers.cs | 80 +++++++++++++ .../devui/agent_framework_devui/_executor.py | 38 +++--- .../devui/tests/devui/test_execution.py | 45 +++++++ 9 files changed, 388 insertions(+), 16 deletions(-) create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/Converters/ItemResourceConversions.cs diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/AIAgentResponseExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/AIAgentResponseExecutor.cs index e3706bee1c..e2e07d00b7 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/AIAgentResponseExecutor.cs +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/AIAgentResponseExecutor.cs @@ -31,6 +31,7 @@ internal sealed class AIAgentResponseExecutor : IResponseExecutor public async IAsyncEnumerable ExecuteAsync( AgentInvocationContext context, CreateResponse request, + IReadOnlyList? conversationHistory = null, [EnumeratorCancellation] CancellationToken cancellationToken = default) { // Create options with properties from the request @@ -51,9 +52,14 @@ internal sealed class AIAgentResponseExecutor : IResponseExecutor }; var options = new ChatClientAgentRunOptions(chatOptions); - // Convert input to chat messages + // Convert input to chat messages, prepending conversation history if available var messages = new List(); + if (conversationHistory is not null) + { + messages.AddRange(conversationHistory); + } + foreach (var inputMessage in request.Input.GetInputMessages()) { messages.Add(inputMessage.ToChatMessage()); diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/Converters/ItemResourceConversions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/Converters/ItemResourceConversions.cs new file mode 100644 index 0000000000..b9a935d54d --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/Converters/ItemResourceConversions.cs @@ -0,0 +1,113 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Collections.Generic; +using System.Text.Json; +using Microsoft.Agents.AI.Hosting.OpenAI.Responses.Models; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.Hosting.OpenAI.Responses.Converters; + +/// +/// Converts stored objects back to objects +/// for injecting conversation history into agent execution. +/// +internal static class ItemResourceConversions +{ + /// + /// Converts a sequence of items to a list of objects. + /// Only converts message, function call, and function result items. Other item types are skipped. + /// + public static List ToChatMessages(IEnumerable items) + { + var messages = new List(); + + foreach (var item in items) + { + switch (item) + { + case ResponsesUserMessageItemResource userMsg: + messages.Add(new ChatMessage(ChatRole.User, ConvertContents(userMsg.Content))); + break; + + case ResponsesAssistantMessageItemResource assistantMsg: + messages.Add(new ChatMessage(ChatRole.Assistant, ConvertContents(assistantMsg.Content))); + break; + + case ResponsesSystemMessageItemResource systemMsg: + messages.Add(new ChatMessage(ChatRole.System, ConvertContents(systemMsg.Content))); + break; + + case ResponsesDeveloperMessageItemResource developerMsg: + messages.Add(new ChatMessage(new ChatRole("developer"), ConvertContents(developerMsg.Content))); + break; + + case FunctionToolCallItemResource funcCall: + var arguments = ParseArguments(funcCall.Arguments); + messages.Add(new ChatMessage(ChatRole.Assistant, + [ + new FunctionCallContent(funcCall.CallId, funcCall.Name, arguments) + ])); + break; + + case FunctionToolCallOutputItemResource funcOutput: + messages.Add(new ChatMessage(ChatRole.Tool, + [ + new FunctionResultContent(funcOutput.CallId, funcOutput.Output) + ])); + break; + + // Skip all other item types (reasoning, executor_action, web_search, etc.) + // They are not relevant for conversation context. + } + } + + return messages; + } + + private static List ConvertContents(List contents) + { + var result = new List(); + foreach (var content in contents) + { + var aiContent = ItemContentConverter.ToAIContent(content); + if (aiContent is not null) + { + result.Add(aiContent); + } + } + + return result; + } + + private static Dictionary? ParseArguments(string? argumentsJson) + { + if (string.IsNullOrEmpty(argumentsJson)) + { + return null; + } + + try + { + using var doc = JsonDocument.Parse(argumentsJson); + var result = new Dictionary(); + foreach (var property in doc.RootElement.EnumerateObject()) + { + result[property.Name] = property.Value.ValueKind switch + { + JsonValueKind.String => property.Value.GetString(), + JsonValueKind.Number => property.Value.GetDouble(), + JsonValueKind.True => true, + JsonValueKind.False => false, + JsonValueKind.Null => null, + _ => property.Value.GetRawText() + }; + } + + return result; + } + catch (JsonException) + { + return null; + } + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/HostedAgentResponseExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/HostedAgentResponseExecutor.cs index 78cf89b970..ad98e9e755 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/HostedAgentResponseExecutor.cs +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/HostedAgentResponseExecutor.cs @@ -82,6 +82,7 @@ internal sealed class HostedAgentResponseExecutor : IResponseExecutor public async IAsyncEnumerable ExecuteAsync( AgentInvocationContext context, CreateResponse request, + IReadOnlyList? conversationHistory = null, [EnumeratorCancellation] CancellationToken cancellationToken = default) { string agentName = GetAgentName(request)!; @@ -105,6 +106,11 @@ internal sealed class HostedAgentResponseExecutor : IResponseExecutor var options = new ChatClientAgentRunOptions(chatOptions); var messages = new List(); + if (conversationHistory is not null) + { + messages.AddRange(conversationHistory); + } + foreach (var inputMessage in request.Input.GetInputMessages()) { messages.Add(inputMessage.ToChatMessage()); diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/IResponseExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/IResponseExecutor.cs index b96879f4cc..84f47af3ed 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/IResponseExecutor.cs +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/IResponseExecutor.cs @@ -4,6 +4,7 @@ using System.Collections.Generic; using System.Threading; using System.Threading.Tasks; using Microsoft.Agents.AI.Hosting.OpenAI.Responses.Models; +using Microsoft.Extensions.AI; namespace Microsoft.Agents.AI.Hosting.OpenAI.Responses; @@ -28,10 +29,12 @@ internal interface IResponseExecutor /// /// The agent invocation context containing the ID generator and other context information. /// The create response request. + /// Optional prior conversation messages to prepend to the agent's input. /// Cancellation token. /// An async enumerable of streaming response events. IAsyncEnumerable ExecuteAsync( AgentInvocationContext context, CreateResponse request, + IReadOnlyList? conversationHistory = null, CancellationToken cancellationToken = default); } diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/InMemoryResponsesService.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/InMemoryResponsesService.cs index 2f5b3f4660..6224120ac9 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/InMemoryResponsesService.cs +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.OpenAI/Responses/InMemoryResponsesService.cs @@ -425,11 +425,28 @@ internal sealed class InMemoryResponsesService : IResponsesService, IDisposable // Create agent invocation context var context = new AgentInvocationContext(new IdGenerator(responseId: responseId, conversationId: state.Response?.Conversation?.Id)); + // Load conversation history if a conversation ID is provided + IReadOnlyList? conversationHistory = null; + if (this._conversationStorage is not null && request.Conversation?.Id is not null) + { + var itemsResult = await this._conversationStorage.ListItemsAsync( + request.Conversation.Id, + limit: 100, + order: SortOrder.Ascending, + cancellationToken: linkedCts.Token).ConfigureAwait(false); + + var history = ItemResourceConversions.ToChatMessages(itemsResult.Data); + if (history.Count > 0) + { + conversationHistory = history; + } + } + // Collect output items for conversation storage List outputItems = []; // Execute using the injected executor - await foreach (var streamingEvent in this._executor.ExecuteAsync(context, request, linkedCts.Token).ConfigureAwait(false)) + await foreach (var streamingEvent in this._executor.ExecuteAsync(context, request, conversationHistory, linkedCts.Token).ConfigureAwait(false)) { state.AddStreamingEvent(streamingEvent); diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/OpenAIResponsesIntegrationTests.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/OpenAIResponsesIntegrationTests.cs index 2dd5b85e5f..0b9441d633 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/OpenAIResponsesIntegrationTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/OpenAIResponsesIntegrationTests.cs @@ -1201,6 +1201,75 @@ public sealed class OpenAIResponsesIntegrationTests : IAsyncDisposable Assert.Null(mockChatClient.LastChatOptions.ConversationId); } + /// + /// Verifies that conversation history is passed to the agent on subsequent requests. + /// This test reproduces the bug described in GitHub issue #3484. + /// + [Fact] + public async Task CreateResponse_WithConversation_SecondRequestIncludesPriorMessagesAsync() + { + // Arrange + const string AgentName = "memory-agent"; + const string Instructions = "You are a helpful assistant."; + const string AgentResponse = "Nice to meet you Alice"; + + var mockChatClient = new TestHelpers.ConversationMemoryMockChatClient(AgentResponse); + this._httpClient = await this.CreateTestServerWithCustomClientAndConversationsAsync( + AgentName, Instructions, mockChatClient); + + // Create a conversation + string createConvJson = System.Text.Json.JsonSerializer.Serialize( + new { metadata = new { agent_id = AgentName } }); + using StringContent createConvContent = new(createConvJson, Encoding.UTF8, "application/json"); + HttpResponseMessage createConvResponse = await this._httpClient.PostAsync( + new Uri("/v1/conversations", UriKind.Relative), createConvContent); + Assert.True(createConvResponse.IsSuccessStatusCode); + + string convJson = await createConvResponse.Content.ReadAsStringAsync(); + using var convDoc = System.Text.Json.JsonDocument.Parse(convJson); + string conversationId = convDoc.RootElement.GetProperty("id").GetString()!; + + // Act - First message + await this.SendRawResponseAsync(AgentName, "My name is Alice", conversationId, stream: false); + + // Act - Second message in same conversation + await this.SendRawResponseAsync(AgentName, "What is my name?", conversationId, stream: false); + + // Assert + Assert.Equal(2, mockChatClient.CallHistory.Count); + + // First call: should have 1 message (just the user input) + Assert.Single(mockChatClient.CallHistory[0]); + Assert.Equal(ChatRole.User, mockChatClient.CallHistory[0][0].Role); + + // Second call: should have 3 messages (prior user + prior assistant + new user) + Assert.Equal(3, mockChatClient.CallHistory[1].Count); + Assert.Equal(ChatRole.User, mockChatClient.CallHistory[1][0].Role); + Assert.Equal(ChatRole.Assistant, mockChatClient.CallHistory[1][1].Role); + Assert.Equal(ChatRole.User, mockChatClient.CallHistory[1][2].Role); + } + + private async Task SendRawResponseAsync( + string agentName, string input, string conversationId, bool stream) + { + var requestBody = new + { + input, + agent = new { name = agentName }, + conversation = conversationId, + stream + }; + string json = System.Text.Json.JsonSerializer.Serialize(requestBody); + using StringContent content = new(json, Encoding.UTF8, "application/json"); + HttpResponseMessage response = await this._httpClient!.PostAsync( + new Uri($"/{agentName}/v1/responses", UriKind.Relative), content); + Assert.True(response.IsSuccessStatusCode, $"Response failed: {response.StatusCode}"); + + // Consume the full response body to ensure execution completes + await response.Content.ReadAsStringAsync(); + return response; + } + private ResponsesClient CreateResponseClient(string agentName) { return new ResponsesClient( @@ -1272,6 +1341,29 @@ public sealed class OpenAIResponsesIntegrationTests : IAsyncDisposable return testServer.CreateClient(); } + private async Task CreateTestServerWithCustomClientAndConversationsAsync(string agentName, string instructions, IChatClient chatClient) + { + WebApplicationBuilder builder = WebApplication.CreateBuilder(); + builder.WebHost.UseTestServer(); + + builder.Services.AddKeyedSingleton($"chat-client-{agentName}", chatClient); + builder.AddAIAgent(agentName, instructions, chatClientServiceKey: $"chat-client-{agentName}"); + builder.AddOpenAIResponses(); + builder.AddOpenAIConversations(); + + this._app = builder.Build(); + AIAgent agent = this._app.Services.GetRequiredKeyedService(agentName); + this._app.MapOpenAIResponses(agent); + this._app.MapOpenAIConversations(); + + await this._app.StartAsync(); + + TestServer testServer = this._app.Services.GetRequiredService() as TestServer + ?? throw new InvalidOperationException("TestServer not found"); + + return testServer.CreateClient(); + } + private async Task CreateTestServerWithCustomClientAsync(string agentName, string instructions, IChatClient chatClient) { WebApplicationBuilder builder = WebApplication.CreateBuilder(); diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/TestHelpers.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/TestHelpers.cs index 191da528a4..198e65629e 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/TestHelpers.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/TestHelpers.cs @@ -597,6 +597,86 @@ internal static class TestHelpers } } + /// + /// Mock IChatClient that captures the full message list on each call. + /// Used to verify conversation history is passed correctly. + /// + internal sealed class ConversationMemoryMockChatClient : IChatClient + { + private readonly string _responseText; + + /// Each entry is the messages list received for that call. + public List> CallHistory { get; } = []; + + public ConversationMemoryMockChatClient(string responseText = "Test response") + { + this._responseText = responseText; + } + + public ChatClientMetadata Metadata { get; } = new("Test", new Uri("https://test.example.com"), "test-model"); + + public Task GetResponseAsync( + IEnumerable messages, + ChatOptions? options = null, + CancellationToken cancellationToken = default) + { + this.CallHistory.Add(messages.ToList()); + + ChatMessage message = new(ChatRole.Assistant, this._responseText); + ChatResponse response = new([message]) + { + ModelId = "test-model", + FinishReason = ChatFinishReason.Stop, + Usage = new UsageDetails + { + InputTokenCount = 10, + OutputTokenCount = 5, + TotalTokenCount = 15 + } + }; + return Task.FromResult(response); + } + + public async IAsyncEnumerable GetStreamingResponseAsync( + IEnumerable messages, + ChatOptions? options = null, + [EnumeratorCancellation] CancellationToken cancellationToken = default) + { + this.CallHistory.Add(messages.ToList()); + await Task.Delay(1, cancellationToken); + + string[] words = this._responseText.Split(' '); + for (int i = 0; i < words.Length; i++) + { + string content = i < words.Length - 1 ? words[i] + " " : words[i]; + ChatResponseUpdate update = new() + { + Contents = [new TextContent(content)], + Role = ChatRole.Assistant + }; + + if (i == words.Length - 1) + { + update.Contents.Add(new UsageContent(new UsageDetails + { + InputTokenCount = 10, + OutputTokenCount = 5, + TotalTokenCount = 15 + })); + } + + yield return update; + } + } + + public object? GetService(Type serviceType, object? serviceKey = null) => + serviceType.IsInstanceOfType(this) ? this : null; + + public void Dispose() + { + } + } + /// /// Custom content mock implementation of IChatClient that returns custom content based on a provider function. /// diff --git a/python/packages/devui/agent_framework_devui/_executor.py b/python/packages/devui/agent_framework_devui/_executor.py index e019917630..1b1b77162a 100644 --- a/python/packages/devui/agent_framework_devui/_executor.py +++ b/python/packages/devui/agent_framework_devui/_executor.py @@ -21,6 +21,13 @@ from .models._discovery_models import EntityInfo logger = logging.getLogger(__name__) +def _get_event_type(event: Any) -> str | None: + """Safely get the type of an event, handling both objects and dicts.""" + if isinstance(event, dict): + return event.get("type") + return getattr(event, "type", None) + + class EntityNotFoundError(Exception): """Raised when an entity is not found.""" @@ -264,7 +271,7 @@ class AgentFrameworkExecutor: elif entity_info.type == "workflow": async for event in self._execute_workflow(entity_obj, request, trace_collector): # Log request_info event (type='request_info') for debugging HIL flow - if event.type == "request_info": + if _get_event_type(event) == "request_info": logger.info( "🔔 [EXECUTOR] request_info event (type='request_info') detected from workflow!" ) @@ -330,19 +337,22 @@ class AgentFrameworkExecutor: # Agent must have run() method - use stream=True for streaming if hasattr(agent, "run") and callable(agent.run): - # Use Agent Framework's run() with stream=True for streaming + # Capture the stream reference so we can call get_final_response() + # after iteration. This triggers result hooks (after_run providers + # like InMemoryHistoryProvider) that persist conversation history. + run_kwargs: dict[str, Any] = {"stream": True} if session: - async for update in agent.run(user_message, stream=True, session=session): - for trace_event in trace_collector.get_pending_events(): - yield trace_event + run_kwargs["session"] = session - yield update - else: - async for update in agent.run(user_message, stream=True): - for trace_event in trace_collector.get_pending_events(): - yield trace_event + stream = agent.run(user_message, **run_kwargs) + async for update in stream: + for trace_event in trace_collector.get_pending_events(): + yield trace_event - yield update + yield update + + # Finalize stream to trigger result hooks (saves conversation history) + await stream.get_final_response() else: raise ValueError("Agent must implement run() method") @@ -471,7 +481,7 @@ class AgentFrameworkExecutor: checkpoint_storage=checkpoint_storage, ): # Enrich new request_info events that may come from subsequent HIL requests - if event.type == "request_info": + if _get_event_type(event) == "request_info": self._enrich_request_info_event_with_response_schema(event, workflow) for trace_event in trace_collector.get_pending_events(): @@ -493,7 +503,7 @@ class AgentFrameworkExecutor: checkpoint_id=checkpoint_id, checkpoint_storage=checkpoint_storage, ): - if event.type == "request_info": + if _get_event_type(event) == "request_info": self._enrich_request_info_event_with_response_schema(event, workflow) for trace_event in trace_collector.get_pending_events(): @@ -517,7 +527,7 @@ class AgentFrameworkExecutor: parsed_input = await self._parse_workflow_input(workflow, request.input) async for event in workflow.run(parsed_input, stream=True, checkpoint_storage=checkpoint_storage): - if event.type == "request_info": + if _get_event_type(event) == "request_info": self._enrich_request_info_event_with_response_schema(event, workflow) for trace_event in trace_collector.get_pending_events(): diff --git a/python/packages/devui/tests/devui/test_execution.py b/python/packages/devui/tests/devui/test_execution.py index a7ac622c75..4d0436a314 100644 --- a/python/packages/devui/tests/devui/test_execution.py +++ b/python/packages/devui/tests/devui/test_execution.py @@ -741,6 +741,51 @@ async def test_full_pipeline_workflow_output_event_serialization(): assert len(output_events) >= 3, f"Expected 3+ output events for yield_output calls, got {len(output_events)}" +async def test_workflow_error_yields_dict_event_without_crash(): + """Test that workflow errors don't crash execute_entity (#3983). + + When a workflow raises an exception, _execute_workflow yields a raw dict + {"type": "error", ...}. The execute_entity caller must handle both dict + events and object events without crashing on attribute access. + """ + from unittest.mock import AsyncMock, MagicMock + + from agent_framework_devui.models._discovery_models import EntityInfo + + discovery = MagicMock(spec=EntityDiscovery) + mapper = MessageMapper() + executor = AgentFrameworkExecutor(discovery, mapper) + + entity_info = EntityInfo(id="bad_wf", name="bad_wf", type="workflow", framework="agent_framework") + discovery.get_entity_info.return_value = entity_info + + # Mock workflow whose run() raises + mock_workflow = MagicMock() + mock_workflow.name = "bad_wf" + + def failing_run(*args, **kwargs): + raise RuntimeError("Sorry, something went wrong.") + + mock_workflow.run = failing_run + discovery.load_entity = AsyncMock(return_value=mock_workflow) + + request = AgentFrameworkRequest( + model="test", + input="hello", + metadata={"entity_id": "bad_wf"}, + ) + + events = [] + # This should NOT raise AttributeError: 'dict' object has no attribute 'type' + async for event in executor.execute_entity("bad_wf", request): + events.append(event) + + # Should get at least one error event + assert len(events) > 0 + error_events = [e for e in events if isinstance(e, dict) and e.get("type") == "error"] + assert len(error_events) > 0, f"Expected error dict events, got: {events}" + + if __name__ == "__main__": # Simple test runner async def run_tests(): From de791fb8a9be05d494aa086e1b35510036943f8e Mon Sep 17 00:00:00 2001 From: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Date: Mon, 2 Mar 2026 10:56:28 +0000 Subject: [PATCH 12/59] .Net: Add additional Hosted Agent Samples (#4325) * Add 3 new hosted agent samples: AgentWithTools, AgentWithLocalTools, AgentThreadAndHITL - AgentWithTools: Foundry tools (MCP + code interpreter) via UseFoundryTools - AgentWithLocalTools: Local C# function tool (Seattle hotel search) with AIProjectClient - AgentThreadAndHITL: Human-in-the-loop with ApprovalRequiredAIFunction and thread persistence All samples follow agent-framework conventions (net10.0, AzureCliCredential, CPM disabled). AgentWithTools includes comprehensive README with setup guide and troubleshooting. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add root HostedAgents README, replace test_requests.py with .http, update sample READMEs - Create root README.md with shared prerequisites, Azure AI Foundry setup, troubleshooting, and samples index - Replace test_requests.py with run-requests.http in AgentThreadAndHITL - Add pointer to root README in all 6 sample READMEs - Trim AgentWithTools README to concise style Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix dotnet format issues in AgentWithLocalTools/Program.cs - Add UTF-8 BOM (CHARSET) - Sort System.ClientModel.Primitives import alphabetically (IMPORTS) - Use target-typed new for AIProjectClient (IDE0090) - Add internal accessibility modifier to Hotel record (IDE0040) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: align model names and package versions - Change default model from gpt-4.1-mini to gpt-4o-mini in AgentWithLocalTools (Program.cs, agent.yaml, README.md) to match existing samples - Change README example from gpt-5.2 to gpt-4o-mini in AgentWithTools and root README - Align AgentWithLocalTools package versions with other samples: Azure.AI.AgentServer.AgentFramework beta.6 -> beta.8 Azure.AI.OpenAI 2.8.0-beta.1 -> 2.7.0-beta.2 Microsoft.Extensions.AI.OpenAI 10.2.0-preview -> 10.1.1-preview Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Upgrade new samples to latest package versions - Azure.AI.OpenAI: 2.7.0-beta.2 -> 2.8.0-beta.1 - Microsoft.Extensions.AI.OpenAI: 10.1.1-preview -> 10.3.0 Aligns with AgentWithHostedMCP which uses the latest versions. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Pin AgentThreadAndHITL to Microsoft.Extensions.AI.OpenAI 10.1.1 Azure.AI.AgentServer.AgentFramework beta.8 was compiled against Microsoft.Extensions.AI.Abstractions with the single-param FunctionApprovalRequestContent.CreateResponse(bool). Version 10.3.0 changed the signature to include an optional reason parameter, causing a binary incompatibility at runtime. Pin to 10.1.1 until the framework is recompiled against the newer abstractions. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../AgentThreadAndHITL.csproj | 70 ++++++++++ .../AgentThreadAndHITL/Dockerfile | 20 +++ .../AgentThreadAndHITL/Program.cs | 38 ++++++ .../HostedAgents/AgentThreadAndHITL/README.md | 46 +++++++ .../AgentThreadAndHITL/agent.yaml | 28 ++++ .../AgentThreadAndHITL/run-requests.http | 70 ++++++++++ .../HostedAgents/AgentWithHostedMCP/README.md | 2 + .../AgentWithLocalTools/.dockerignore | 24 ++++ .../AgentWithLocalTools.csproj | 70 ++++++++++ .../AgentWithLocalTools/Dockerfile | 20 +++ .../AgentWithLocalTools/Program.cs | 129 ++++++++++++++++++ .../AgentWithLocalTools/README.md | 39 ++++++ .../AgentWithLocalTools/agent.yaml | 29 ++++ .../AgentWithLocalTools/run-requests.http | 52 +++++++ .../AgentWithTextSearchRag/README.md | 2 + .../AgentWithTools/AgentWithTools.csproj | 69 ++++++++++ .../HostedAgents/AgentWithTools/Dockerfile | 20 +++ .../HostedAgents/AgentWithTools/Program.cs | 43 ++++++ .../HostedAgents/AgentWithTools/README.md | 45 ++++++ .../HostedAgents/AgentWithTools/agent.yaml | 31 +++++ .../AgentWithTools/run-requests.http | 30 ++++ .../HostedAgents/AgentsInWorkflows/README.md | 2 + .../05-end-to-end/HostedAgents/README.md | 125 +++++++++++++++++ 23 files changed, 1004 insertions(+) create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/AgentThreadAndHITL.csproj create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Dockerfile create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Program.cs create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/README.md create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/agent.yaml create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/run-requests.http create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/.dockerignore create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/AgentWithLocalTools.csproj create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Dockerfile create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Program.cs create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/README.md create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/agent.yaml create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/run-requests.http create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/AgentWithTools.csproj create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/Dockerfile create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/Program.cs create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/README.md create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/agent.yaml create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/run-requests.http create mode 100644 dotnet/samples/05-end-to-end/HostedAgents/README.md diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/AgentThreadAndHITL.csproj b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/AgentThreadAndHITL.csproj new file mode 100644 index 0000000000..17b90fd6e2 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/AgentThreadAndHITL.csproj @@ -0,0 +1,70 @@ + + + + Exe + net10.0 + + enable + enable + $(NoWarn);MEAI001 + + + false + + + + + + + + + + + + + + + + + + + + + + + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + + diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Dockerfile b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Dockerfile new file mode 100644 index 0000000000..004bd49fa8 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Dockerfile @@ -0,0 +1,20 @@ +# Build the application +FROM mcr.microsoft.com/dotnet/sdk:10.0-alpine AS build +WORKDIR /src + +# Copy files from the current directory on the host to the working directory in the container +COPY . . + +RUN dotnet restore +RUN dotnet build -c Release --no-restore +RUN dotnet publish -c Release --no-build -o /app -f net10.0 + +# Run the application +FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final +WORKDIR /app + +# Copy everything needed to run the app from the "build" stage. +COPY --from=build /app . + +EXPOSE 8088 +ENTRYPOINT ["dotnet", "AgentThreadAndHITL.dll"] diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Program.cs new file mode 100644 index 0000000000..305b9835ed --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Program.cs @@ -0,0 +1,38 @@ +// Copyright (c) Microsoft. All rights reserved. + +// This sample demonstrates Human-in-the-Loop (HITL) capabilities with thread persistence. +// The agent wraps function tools with ApprovalRequiredAIFunction to require user approval +// before invoking them. Users respond with 'approve' or 'reject' when prompted. + +using System.ComponentModel; +using Azure.AI.AgentServer.AgentFramework.Extensions; +using Azure.AI.AgentServer.AgentFramework.Persistence; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Extensions.AI; + +var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini"; + +[Description("Get the weather for a given location.")] +static string GetWeather([Description("The location to get the weather for.")] string location) + => $"The weather in {location} is cloudy with a high of 15°C."; + +// Create the chat client and agent. +// Note: ApprovalRequiredAIFunction wraps the tool to require user approval before invocation. +// User should reply with 'approve' or 'reject' when prompted. +#pragma warning disable MEAI001 // Type is for evaluation purposes only +AIAgent agent = new AzureOpenAIClient( + new Uri(endpoint), + new AzureCliCredential()) + .GetChatClient(deploymentName) + .AsIChatClient() + .CreateAIAgent( + instructions: "You are a helpful assistant", + tools: [new ApprovalRequiredAIFunction(AIFunctionFactory.Create(GetWeather))] + ); +#pragma warning restore MEAI001 + +var threadRepository = new InMemoryAgentThreadRepository(agent); +await agent.RunAIAgentAsync(telemetrySourceName: "Agents", threadRepository: threadRepository); diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/README.md new file mode 100644 index 0000000000..f2d9a65103 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/README.md @@ -0,0 +1,46 @@ +# What this sample demonstrates + +This sample demonstrates Human-in-the-Loop (HITL) capabilities with thread persistence. The agent wraps function tools with `ApprovalRequiredAIFunction` so that every tool invocation requires explicit user approval before execution. Thread state is maintained across requests using `InMemoryAgentThreadRepository`. + +Key features: +- Requiring human approval before executing function calls +- Persisting conversation threads across multiple requests +- Approving or rejecting tool invocations at runtime + +> For common prerequisites and setup instructions, see the [Hosted Agent Samples README](../README.md). + +## Prerequisites + +Before running this sample, ensure you have: + +1. .NET 10 SDK installed +2. An Azure OpenAI endpoint configured +3. A deployment of a chat model (e.g., gpt-4o-mini) +4. Azure CLI installed and authenticated (`az login`) + +## Environment Variables + +Set the following environment variables: + +```powershell +# Replace with your Azure OpenAI endpoint +$env:AZURE_OPENAI_ENDPOINT="https://your-openai-resource.openai.azure.com/" + +# Optional, defaults to gpt-4o-mini +$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini" +``` + +## How It Works + +The sample uses `ApprovalRequiredAIFunction` to wrap standard AI function tools. When the model decides to call a tool, the wrapper intercepts the invocation and returns a HITL approval request to the caller instead of executing the function immediately. + +1. The user sends a message (e.g., "What is the weather in Vancouver?") +2. The model determines a function call is needed and selects the `GetWeather` tool +3. `ApprovalRequiredAIFunction` intercepts the call and returns an approval request containing the function name and arguments +4. The user responds with `approve` or `reject` +5. If approved, the function executes and the model generates a response using the result +6. If rejected, the model generates a response without the function result + +Thread persistence is handled by `InMemoryAgentThreadRepository`, which stores conversation history keyed by `conversation.id`. This means the HITL flow works across multiple HTTP requests as long as each request includes the same `conversation.id`. + +> **Note:** HITL requires a stable `conversation.id` in every request so the agent can correlate the approval response with the original function call. Use the `run-requests.http` file in this directory to test the full approval flow. diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/agent.yaml new file mode 100644 index 0000000000..aa78734283 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/agent.yaml @@ -0,0 +1,28 @@ +name: AgentThreadAndHITL +displayName: "Weather Assistant Agent" +description: > + A Weather Assistant Agent that provides weather information and forecasts. It + demonstrates how to use Azure AI AgentServer with Human-in-the-Loop (HITL) + capabilities to get human approval for functional calls. +metadata: + authors: + - Microsoft Agent Framework Team + tags: + - Azure AI AgentServer + - Microsoft Agent Framework + - Human-in-the-Loop +template: + kind: hosted + name: AgentThreadAndHITL + protocols: + - protocol: responses + version: v1 + environment_variables: + - name: AZURE_OPENAI_ENDPOINT + value: ${AZURE_OPENAI_ENDPOINT} + - name: AZURE_OPENAI_DEPLOYMENT_NAME + value: gpt-4o-mini +resources: + - name: "gpt-4o-mini" + kind: model + id: gpt-4o-mini diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/run-requests.http b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/run-requests.http new file mode 100644 index 0000000000..196a30a542 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/run-requests.http @@ -0,0 +1,70 @@ +@host = http://localhost:8088 +@endpoint = {{host}}/responses + +### Health Check +GET {{host}}/readiness + +### +# HITL (Human-in-the-Loop) Flow +# +# This sample requires a multi-turn conversation to demonstrate the approval flow: +# 1. Send a request that triggers a tool call (e.g., asking about the weather) +# 2. The agent responds with a function_call named "__hosted_agent_adapter_hitl__" +# containing the call_id and the tool details +# 3. Send a follow-up request with a function_call_output to approve or reject +# +# IMPORTANT: You must use the same conversation.id across all requests in a flow, +# and update the call_id from step 2 into step 3. +### + +### Step 1: Send initial request (triggers HITL approval) +# @name initialRequest +POST {{endpoint}} +Content-Type: application/json + +{ + "input": "What is the weather like in Vancouver?", + "stream": false, + "conversation": { + "id": "conv_test0000000000000000000000000000000000000000000000" + } +} + +### Step 2: Approve the function call +# Copy the call_id from the Step 1 response output and replace below. +# The response will contain: "name": "__hosted_agent_adapter_hitl__" with a "call_id" value. +POST {{endpoint}} +Content-Type: application/json + +{ + "input": [ + { + "type": "function_call_output", + "call_id": "REPLACE_WITH_CALL_ID_FROM_STEP_1", + "output": "approve" + } + ], + "stream": false, + "conversation": { + "id": "conv_test0000000000000000000000000000000000000000000000" + } +} + +### Step 3 (alternative): Reject the function call +# Use this instead of Step 2 to deny the tool execution. +POST {{endpoint}} +Content-Type: application/json + +{ + "input": [ + { + "type": "function_call_output", + "call_id": "REPLACE_WITH_CALL_ID_FROM_STEP_1", + "output": "reject" + } + ], + "stream": false, + "conversation": { + "id": "conv_test0000000000000000000000000000000000000000000000" + } +} diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/README.md index a5648d7ac9..8d8ddba330 100644 --- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/README.md +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/README.md @@ -8,6 +8,8 @@ Key features: - Filtering available tools from an MCP server - Using Azure OpenAI Responses with MCP tools +> For common prerequisites and setup instructions, see the [Hosted Agent Samples README](../README.md). + ## Prerequisites Before running this sample, ensure you have: diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/.dockerignore b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/.dockerignore new file mode 100644 index 0000000000..2afa2c2601 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/.dockerignore @@ -0,0 +1,24 @@ +**/.dockerignore +**/.env +**/.git +**/.gitignore +**/.project +**/.settings +**/.toolstarget +**/.vs +**/.vscode +**/*.*proj.user +**/*.dbmdl +**/*.jfm +**/azds.yaml +**/bin +**/charts +**/docker-compose* +**/Dockerfile* +**/node_modules +**/npm-debug.log +**/obj +**/secrets.dev.yaml +**/values.dev.yaml +LICENSE +README.md diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/AgentWithLocalTools.csproj b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/AgentWithLocalTools.csproj new file mode 100644 index 0000000000..43cdbfb025 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/AgentWithLocalTools.csproj @@ -0,0 +1,70 @@ + + + + Exe + net10.0 + + enable + enable + true + + + false + + + + + + + + + + + + + + + + + + + + + + + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + + diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Dockerfile b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Dockerfile new file mode 100644 index 0000000000..c2461965a4 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Dockerfile @@ -0,0 +1,20 @@ +# Build the application +FROM mcr.microsoft.com/dotnet/sdk:10.0-alpine AS build +WORKDIR /src + +# Copy files from the current directory on the host to the working directory in the container +COPY . . + +RUN dotnet restore +RUN dotnet build -c Release --no-restore +RUN dotnet publish -c Release --no-build -o /app -f net10.0 + +# Run the application +FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final +WORKDIR /app + +# Copy everything needed to run the app from the "build" stage. +COPY --from=build /app . + +EXPOSE 8088 +ENTRYPOINT ["dotnet", "AgentWithLocalTools.dll"] diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Program.cs new file mode 100644 index 0000000000..72eb938047 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Program.cs @@ -0,0 +1,129 @@ +// Copyright (c) Microsoft. All rights reserved. + +// Seattle Hotel Agent - A simple agent with a tool to find hotels in Seattle. +// Uses Microsoft Agent Framework with Azure AI Foundry. +// Ready for deployment to Foundry Hosted Agent service. + +using System.ClientModel.Primitives; +using System.ComponentModel; +using System.Globalization; +using System.Text; +using Azure.AI.AgentServer.AgentFramework.Extensions; +using Azure.AI.OpenAI; +using Azure.AI.Projects; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Extensions.AI; + +var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") + ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set."); +var deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini"; +Console.WriteLine($"Project Endpoint: {endpoint}"); +Console.WriteLine($"Model Deployment: {deploymentName}"); + +var seattleHotels = new[] +{ + new Hotel("Contoso Suites", 189, 4.5, "Downtown"), + new Hotel("Fabrikam Residences", 159, 4.2, "Pike Place Market"), + new Hotel("Alpine Ski House", 249, 4.7, "Seattle Center"), + new Hotel("Margie's Travel Lodge", 219, 4.4, "Waterfront"), + new Hotel("Northwind Inn", 139, 4.0, "Capitol Hill"), + new Hotel("Relecloud Hotel", 99, 3.8, "University District"), +}; + +[Description("Get available hotels in Seattle for the specified dates. This simulates a call to a hotel availability API.")] +string GetAvailableHotels( + [Description("Check-in date in YYYY-MM-DD format")] string checkInDate, + [Description("Check-out date in YYYY-MM-DD format")] string checkOutDate, + [Description("Maximum price per night in USD (optional, defaults to 500)")] int maxPrice = 500) +{ + try + { + if (!DateTime.TryParseExact(checkInDate, "yyyy-MM-dd", CultureInfo.InvariantCulture, DateTimeStyles.None, out var checkIn)) + { + return "Error parsing check-in date. Please use YYYY-MM-DD format."; + } + + if (!DateTime.TryParseExact(checkOutDate, "yyyy-MM-dd", CultureInfo.InvariantCulture, DateTimeStyles.None, out var checkOut)) + { + return "Error parsing check-out date. Please use YYYY-MM-DD format."; + } + + if (checkOut <= checkIn) + { + return "Error: Check-out date must be after check-in date."; + } + + var nights = (checkOut - checkIn).Days; + var availableHotels = seattleHotels.Where(h => h.PricePerNight <= maxPrice).ToList(); + + if (availableHotels.Count == 0) + { + return $"No hotels found in Seattle within your budget of ${maxPrice}/night."; + } + + var result = new StringBuilder(); + result.AppendLine($"Available hotels in Seattle from {checkInDate} to {checkOutDate} ({nights} nights):"); + result.AppendLine(); + + foreach (var hotel in availableHotels) + { + var totalCost = hotel.PricePerNight * nights; + result.AppendLine($"**{hotel.Name}**"); + result.AppendLine($" Location: {hotel.Location}"); + result.AppendLine($" Rating: {hotel.Rating}/5"); + result.AppendLine($" ${hotel.PricePerNight}/night (Total: ${totalCost})"); + result.AppendLine(); + } + + return result.ToString(); + } + catch (Exception ex) + { + return $"Error processing request. Details: {ex.Message}"; + } +} + +var credential = new AzureCliCredential(); +AIProjectClient projectClient = new(new Uri(endpoint), credential); + +ClientConnection connection = projectClient.GetConnection(typeof(AzureOpenAIClient).FullName!); + +if (!connection.TryGetLocatorAsUri(out Uri? openAiEndpoint) || openAiEndpoint is null) +{ + throw new InvalidOperationException("Failed to get OpenAI endpoint from project connection."); +} +openAiEndpoint = new Uri($"https://{openAiEndpoint.Host}"); +Console.WriteLine($"OpenAI Endpoint: {openAiEndpoint}"); + +var chatClient = new AzureOpenAIClient(openAiEndpoint, credential) + .GetChatClient(deploymentName) + .AsIChatClient() + .AsBuilder() + .UseOpenTelemetry(sourceName: "Agents", configure: cfg => cfg.EnableSensitiveData = false) + .Build(); + +var agent = new ChatClientAgent(chatClient, + name: "SeattleHotelAgent", + instructions: """ + You are a helpful travel assistant specializing in finding hotels in Seattle, Washington. + + When a user asks about hotels in Seattle: + 1. Ask for their check-in and check-out dates if not provided + 2. Ask about their budget preferences if not mentioned + 3. Use the GetAvailableHotels tool to find available options + 4. Present the results in a friendly, informative way + 5. Offer to help with additional questions about the hotels or Seattle + + Be conversational and helpful. If users ask about things outside of Seattle hotels, + politely let them know you specialize in Seattle hotel recommendations. + """, + tools: [AIFunctionFactory.Create(GetAvailableHotels)]) + .AsBuilder() + .UseOpenTelemetry(sourceName: "Agents", configure: cfg => cfg.EnableSensitiveData = false) + .Build(); + +Console.WriteLine("Seattle Hotel Agent Server running on http://localhost:8088"); +await agent.RunAIAgentAsync(telemetrySourceName: "Agents"); + +internal sealed record Hotel(string Name, int PricePerNight, double Rating, string Location); diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/README.md new file mode 100644 index 0000000000..c080331a87 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/README.md @@ -0,0 +1,39 @@ +# What this sample demonstrates + +This sample demonstrates how to build a hosted agent that uses local C# function tools — a key advantage of code-based hosted agents over prompt agents. The agent acts as a Seattle travel assistant with a `GetAvailableHotels` tool that simulates querying a hotel availability API. + +Key features: +- Defining local C# functions as agent tools using `AIFunctionFactory` +- Using `AIProjectClient` to discover the OpenAI connection from the Azure AI Foundry project +- Building a `ChatClientAgent` with custom instructions and tools +- Deploying to the Foundry Hosted Agent service + +> For common prerequisites and setup instructions, see the [Hosted Agent Samples README](../README.md). + +## Prerequisites + +Before running this sample, ensure you have: + +1. .NET 10 SDK installed +2. An Azure AI Foundry Project with a chat model deployed (e.g., gpt-4o-mini) +3. Azure CLI installed and authenticated (`az login`) + +## Environment Variables + +Set the following environment variables: + +```powershell +# Replace with your Azure AI Foundry project endpoint +$env:AZURE_AI_PROJECT_ENDPOINT="https://your-project.services.ai.azure.com/api/projects/your-project-name" + +# Optional, defaults to gpt-4o-mini +$env:MODEL_DEPLOYMENT_NAME="gpt-4o-mini" +``` + +## How It Works + +1. The agent uses `AIProjectClient` to discover the Azure OpenAI connection from the project endpoint +2. A local C# function `GetAvailableHotels` is registered as a tool using `AIFunctionFactory.Create` +3. When users ask about hotels, the model invokes the local tool to search simulated hotel data +4. The tool filters hotels by price and calculates total costs based on the requested dates +5. Results are returned to the model, which presents them in a conversational format diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/agent.yaml new file mode 100644 index 0000000000..e60d9ccadf --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/agent.yaml @@ -0,0 +1,29 @@ +name: seattle-hotel-agent +description: > + A travel assistant agent that helps users find hotels in Seattle. + Demonstrates local C# tool execution - a key advantage of code-based + hosted agents over prompt agents. +metadata: + authors: + - Microsoft + tags: + - Azure AI AgentServer + - Microsoft Agent Framework + - Local Tools + - Travel Assistant + - Hotel Search +template: + name: seattle-hotel-agent + kind: hosted + protocols: + - protocol: responses + version: v1 + environment_variables: + - name: AZURE_AI_PROJECT_ENDPOINT + value: ${AZURE_AI_PROJECT_ENDPOINT} + - name: MODEL_DEPLOYMENT_NAME + value: gpt-4o-mini +resources: + - kind: model + id: gpt-4o-mini + name: chat diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/run-requests.http b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/run-requests.http new file mode 100644 index 0000000000..4f2e87e097 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/run-requests.http @@ -0,0 +1,52 @@ +@host = http://localhost:8088 +@endpoint = {{host}}/responses + +### Health Check +GET {{host}}/readiness + +### Simple hotel search - budget under $200 +POST {{endpoint}} +Content-Type: application/json + +{ + "input": "I need a hotel in Seattle from 2025-03-15 to 2025-03-18, budget under $200 per night", + "stream": false +} + +### Hotel search with higher budget +POST {{endpoint}} +Content-Type: application/json + +{ + "input": "Find me hotels in Seattle for March 20-23, 2025 under $250 per night", + "stream": false +} + +### Ask for recommendations without dates (agent should ask for clarification) +POST {{endpoint}} +Content-Type: application/json + +{ + "input": "What hotels do you recommend in Seattle?", + "stream": false +} + +### Explicit input format +POST {{endpoint}} +Content-Type: application/json + +{ + "input": [ + { + "type": "message", + "role": "user", + "content": [ + { + "type": "input_text", + "text": "I'm looking for a hotel in Seattle from 2025-04-01 to 2025-04-05, my budget is $150 per night maximum" + } + ] + } + ], + "stream": false +} diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/README.md index 614597bed9..396bc1bc9b 100644 --- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/README.md +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/README.md @@ -8,6 +8,8 @@ Key features: - Managing conversation memory with a rolling window approach - Citing source documents in AI responses +> For common prerequisites and setup instructions, see the [Hosted Agent Samples README](../README.md). + ## Prerequisites Before running this sample, ensure you have: diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/AgentWithTools.csproj b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/AgentWithTools.csproj new file mode 100644 index 0000000000..ce8a739757 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/AgentWithTools.csproj @@ -0,0 +1,69 @@ + + + + Exe + net10.0 + + enable + enable + + + false + + + + + + + + + + + + + + + + + + + + + + + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + all + runtime; build; native; contentfiles; analyzers; buildtransitive + + + + diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/Dockerfile b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/Dockerfile new file mode 100644 index 0000000000..c9f39f9574 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/Dockerfile @@ -0,0 +1,20 @@ +# Build the application +FROM mcr.microsoft.com/dotnet/sdk:10.0-alpine AS build +WORKDIR /src + +# Copy files from the current directory on the host to the working directory in the container +COPY . . + +RUN dotnet restore +RUN dotnet build -c Release --no-restore +RUN dotnet publish -c Release --no-build -o /app -f net10.0 + +# Run the application +FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final +WORKDIR /app + +# Copy everything needed to run the app from the "build" stage. +COPY --from=build /app . + +EXPOSE 8088 +ENTRYPOINT ["dotnet", "AgentWithTools.dll"] diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/Program.cs new file mode 100644 index 0000000000..3bb68d6e31 --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/Program.cs @@ -0,0 +1,43 @@ +// Copyright (c) Microsoft. All rights reserved. + +// This sample demonstrates how to use Foundry tools (MCP and code interpreter) +// with an AI agent hosted using the Azure AI AgentServer SDK. + +using Azure.AI.AgentServer.AgentFramework.Extensions; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Extensions.AI; + +var openAiEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini"; +var toolConnectionId = Environment.GetEnvironmentVariable("MCP_TOOL_CONNECTION_ID") ?? throw new InvalidOperationException("MCP_TOOL_CONNECTION_ID is not set."); + +var credential = new AzureCliCredential(); + +var chatClient = new AzureOpenAIClient(new Uri(openAiEndpoint), credential) + .GetChatClient(deploymentName) + .AsIChatClient() + .AsBuilder() + .UseFoundryTools(new { type = "mcp", project_connection_id = toolConnectionId }, new { type = "code_interpreter" }) + .UseOpenTelemetry(sourceName: "Agents", configure: (cfg) => cfg.EnableSensitiveData = true) + .Build(); + +var agent = new ChatClientAgent(chatClient, + name: "AgentWithTools", + instructions: @"You are a helpful assistant with access to tools for fetching Microsoft documentation. + + IMPORTANT: When the user asks about Microsoft Learn articles or documentation: + 1. You MUST use the microsoft_docs_fetch tool to retrieve the actual content + 2. Do NOT rely on your training data + 3. Always fetch the latest information from the provided URL + + Available tools: + - microsoft_docs_fetch: Fetches and converts Microsoft Learn documentation + - microsoft_docs_search: Searches Microsoft/Azure documentation + - microsoft_code_sample_search: Searches for code examples") + .AsBuilder() + .UseOpenTelemetry(sourceName: "Agents", configure: (cfg) => cfg.EnableSensitiveData = true) + .Build(); + +await agent.RunAIAgentAsync(telemetrySourceName: "Agents"); diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/README.md new file mode 100644 index 0000000000..5a80ecda9f --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/README.md @@ -0,0 +1,45 @@ +# What this sample demonstrates + +This sample demonstrates how to use Foundry tools with an AI agent via the `UseFoundryTools` extension. The agent is configured with two tool types: an MCP (Model Context Protocol) connection for fetching Microsoft Learn documentation and a code interpreter for running code when needed. + +Key features: + +- Configuring Foundry tools using `UseFoundryTools` with MCP and code interpreter +- Connecting to an external MCP tool via a Foundry project connection +- Using `AzureCliCredential` for Azure authentication +- OpenTelemetry instrumentation for both the chat client and agent + +> For common prerequisites and setup instructions, see the [Hosted Agent Samples README](../README.md). + +## Prerequisites + +In addition to the common prerequisites: + +1. An **Azure AI Foundry project** with a chat model deployed (e.g., `gpt-5.2`, `gpt-4o-mini`) +2. The **Azure AI Developer** role assigned on the Foundry resource (includes the `agents/write` data action required by `UseFoundryTools`) +3. An **MCP tool connection** configured in your Foundry project pointing to `https://learn.microsoft.com/api/mcp` + +## Environment Variables + +In addition to the common environment variables in the root README: + +```powershell +# Your Azure AI Foundry project endpoint (required by UseFoundryTools) +$env:AZURE_AI_PROJECT_ENDPOINT="https://your-resource.services.ai.azure.com/api/projects/your-project" + +# Chat model deployment name (defaults to gpt-4o-mini if not set) +$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini" + +# The MCP tool connection name (just the name, not the full ARM resource ID) +$env:MCP_TOOL_CONNECTION_ID="SampleMCPTool" +``` + +## How It Works + +1. An `AzureOpenAIClient` is created with `AzureCliCredential` and used to get a chat client +2. The chat client is wrapped with `UseFoundryTools` which registers two Foundry tool types: + - **MCP connection**: Connects to an external MCP server (Microsoft Learn) via the project connection name, providing documentation fetch and search capabilities + - **Code interpreter**: Allows the agent to execute code snippets when needed +3. `UseFoundryTools` resolves the connection using `AZURE_AI_PROJECT_ENDPOINT` internally +4. A `ChatClientAgent` is created with instructions guiding it to use the MCP tools for documentation queries +5. The agent is hosted using `RunAIAgentAsync` which exposes the OpenAI Responses-compatible API endpoint diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/agent.yaml new file mode 100644 index 0000000000..5d2b1f8d8d --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/agent.yaml @@ -0,0 +1,31 @@ +name: AgentWithTools +displayName: "Agent with Tools" +description: > + An AI agent that uses Foundry tools (MCP and code interpreter) with Azure OpenAI. + The agent can fetch Microsoft Learn documentation and run code when needed. +metadata: + authors: + - Microsoft Agent Framework Team + tags: + - Azure AI AgentServer + - Microsoft Agent Framework + - Tools + - MCP + - Code Interpreter +template: + kind: hosted + name: AgentWithTools + protocols: + - protocol: responses + version: v1 + environment_variables: + - name: AZURE_OPENAI_ENDPOINT + value: ${AZURE_OPENAI_ENDPOINT} + - name: AZURE_OPENAI_DEPLOYMENT_NAME + value: gpt-4o-mini + - name: MCP_TOOL_CONNECTION_ID + value: ${MCP_TOOL_CONNECTION_ID} +resources: + - name: "gpt-4o-mini" + kind: model + id: gpt-4o-mini diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/run-requests.http b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/run-requests.http new file mode 100644 index 0000000000..22a37ff54e --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTools/run-requests.http @@ -0,0 +1,30 @@ +@host = http://localhost:8088 +@endpoint = {{host}}/responses + +### Health Check +GET {{host}}/readiness + +### Simple string input +POST {{endpoint}} +Content-Type: application/json +{ + "input": "Please use the microsoft_docs_fetch tool to fetch and summarize the Microsoft Learn article at https://learn.microsoft.com/azure/ai-services/openai/overview" +} + +### Explicit input +POST {{endpoint}} +Content-Type: application/json +{ + "input": [ + { + "type": "message", + "role": "user", + "content": [ + { + "type": "input_text", + "text": "Please use the microsoft_docs_fetch tool to fetch and summarize the Microsoft Learn article at https://learn.microsoft.com/azure/ai-services/openai/overview" + } + ] + } + ] +} diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/README.md index 5f6babc755..72019bbf22 100644 --- a/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/README.md +++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/README.md @@ -9,6 +9,8 @@ This workflow uses three translation agents: The agents are connected sequentially, creating a translation chain that demonstrates how AI-powered components can be seamlessly integrated into workflow pipelines. +> For common prerequisites and setup instructions, see the [Hosted Agent Samples README](../README.md). + ## Prerequisites Before you begin, ensure you have the following prerequisites: diff --git a/dotnet/samples/05-end-to-end/HostedAgents/README.md b/dotnet/samples/05-end-to-end/HostedAgents/README.md new file mode 100644 index 0000000000..f7a3bdc94b --- /dev/null +++ b/dotnet/samples/05-end-to-end/HostedAgents/README.md @@ -0,0 +1,125 @@ +# Hosted Agent Samples + +These samples demonstrate how to build and host AI agents using the [Azure AI AgentServer SDK](https://learn.microsoft.com/en-us/dotnet/api/overview/azure/ai.agentserver.agentframework-readme). Each sample can be run locally and deployed to Microsoft Foundry as a hosted agent. + +## Samples + +| Sample | Description | +|--------|-------------| +| [`AgentWithTools`](./AgentWithTools/) | Foundry tools (MCP + code interpreter) via `UseFoundryTools` | +| [`AgentWithLocalTools`](./AgentWithLocalTools/) | Local C# function tool execution (Seattle hotel search) | +| [`AgentThreadAndHITL`](./AgentThreadAndHITL/) | Human-in-the-loop with `ApprovalRequiredAIFunction` and thread persistence | +| [`AgentWithHostedMCP`](./AgentWithHostedMCP/) | Hosted MCP server tool (Microsoft Learn search) | +| [`AgentWithTextSearchRag`](./AgentWithTextSearchRag/) | RAG with `TextSearchProvider` (Contoso Outdoors) | +| [`AgentsInWorkflows`](./AgentsInWorkflows/) | Sequential workflow pipeline (translation chain) | + +## Common Prerequisites + +Before running any sample, ensure you have: + +1. **.NET 10 SDK** or later — [Download](https://dotnet.microsoft.com/download/dotnet/10.0) +2. **Azure CLI** installed — [Install guide](https://learn.microsoft.com/cli/azure/install-azure-cli) +3. **Azure OpenAI** or **Azure AI Foundry project** with a chat model deployed (e.g., `gpt-4o-mini`) + +### Authenticate with Azure CLI + +All samples use `AzureCliCredential` for authentication. Make sure you're logged in: + +```powershell +az login +az account show # Verify the correct subscription +``` + +### Common Environment Variables + +Most samples require one or more of these environment variables: + +| Variable | Used By | Description | +|----------|---------|-------------| +| `AZURE_OPENAI_ENDPOINT` | Most samples | Your Azure OpenAI resource endpoint URL | +| `AZURE_OPENAI_DEPLOYMENT_NAME` | Most samples | Chat model deployment name (defaults to `gpt-4o-mini`) | +| `AZURE_AI_PROJECT_ENDPOINT` | AgentWithTools, AgentWithLocalTools | Azure AI Foundry project endpoint | +| `MCP_TOOL_CONNECTION_ID` | AgentWithTools | Foundry MCP tool connection name | +| `MODEL_DEPLOYMENT_NAME` | AgentWithLocalTools | Chat model deployment name (defaults to `gpt-4o-mini`) | + +See each sample's README for the specific variables required. + +## Azure AI Foundry Setup (for samples that use Foundry) + +Some samples (`AgentWithTools`, `AgentWithLocalTools`) connect to an Azure AI Foundry project. If you're using these samples, you'll need additional setup. + +### Azure AI Developer Role + +The `UseFoundryTools` extension requires the **Azure AI Developer** role on the Cognitive Services resource. Even if you created the project, you may not have this role by default. + +```powershell +az role assignment create ` + --role "Azure AI Developer" ` + --assignee "your-email@microsoft.com" ` + --scope "/subscriptions/{subscription-id}/resourceGroups/{resource-group}/providers/Microsoft.CognitiveServices/accounts/{account-name}" +``` + +> **Note**: You need **Owner** or **User Access Administrator** permissions on the resource to assign roles. If you don't have this, you may need to request JIT (Just-In-Time) elevated access via [Azure PIM](https://portal.azure.com/#view/Microsoft_Azure_PIMCommon/ActivationMenuBlade/~/aadmigratedresource). + +For more details on permissions, see [Azure AI Foundry Permissions](https://aka.ms/FoundryPermissions). + +### Creating an MCP Tool Connection + +The `AgentWithTools` sample requires an MCP tool connection configured in your Foundry project: + +1. Go to the [Azure AI Foundry portal](https://ai.azure.com) +2. Navigate to your project +3. Go to **Connected resources** → **+ New connection** → **Model Context Protocol tool** +4. Fill in: + - **Name**: `SampleMCPTool` (or any name you prefer) + - **Remote MCP Server endpoint**: `https://learn.microsoft.com/api/mcp` + - **Authentication**: `Unauthenticated` +5. Click **Connect** + +The connection **name** (e.g., `SampleMCPTool`) is used as the `MCP_TOOL_CONNECTION_ID` environment variable. + +> **Important**: Use only the connection **name**, not the full ARM resource ID. + +## Running a Sample + +Each sample runs as a standalone hosted agent on `http://localhost:8088/`: + +```powershell +cd +dotnet run +``` + +### Interacting with the Agent + +Each sample includes a `run-requests.http` file for testing with the [VS Code REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) extension, or you can use PowerShell: + +```powershell +$body = @{ input = "Your question here" } | ConvertTo-Json +Invoke-RestMethod -Uri "http://localhost:8088/responses" -Method Post -Body $body -ContentType "application/json" +``` + +## Deploying to Microsoft Foundry + +Each sample includes a `Dockerfile` and `agent.yaml` for deployment. To deploy your agent to Microsoft Foundry, follow the [hosted agents deployment guide](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/concepts/hosted-agents). + +## Troubleshooting + +### `PermissionDenied` — lacks `agents/write` data action + +Assign the **Azure AI Developer** role to your user. See [Azure AI Developer Role](#azure-ai-developer-role) above. + +### `Project connection ... was not found` + +Make sure `MCP_TOOL_CONNECTION_ID` contains only the connection **name** (e.g., `SampleMCPTool`), not the full ARM resource ID path. + +### `AZURE_AI_PROJECT_ENDPOINT must be set` + +The `UseFoundryTools` extension requires `AZURE_AI_PROJECT_ENDPOINT`. Set it to your Foundry project endpoint (e.g., `https://your-resource.services.ai.azure.com/api/projects/your-project`). + +### Multi-framework error when running `dotnet run` + +If you see "Your project targets multiple frameworks", specify the framework: + +```powershell +dotnet run --framework net10.0 +``` From 26cef555ce1481ff25c3c7b62b30dd27b9eed167 Mon Sep 17 00:00:00 2001 From: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> Date: Mon, 2 Mar 2026 12:50:44 +0000 Subject: [PATCH 13/59] Revert ".NET: Support hosted code interpreter for skill script execution (#4192)" (#4385) This reverts commit c9cd067be6b2981791a9d93b1c832390a39b507a. --- dotnet/agent-framework-dotnet.slnx | 1 - .../Agent_Step01_BasicSkills/Program.cs | 3 - ..._ScriptExecutionWithCodeInterpreter.csproj | 28 --- .../Program.cs | 49 ----- .../README.md | 72 -------- .../skills/password-generator/SKILL.md | 16 -- .../references/PASSWORD_GUIDELINES.md | 24 --- .../password-generator/scripts/generate.py | 11 -- .../samples/02-agents/AgentSkills/README.md | 1 - .../Skills/FileAgentSkill.cs | 23 ++- .../Skills/FileAgentSkillLoader.cs | 22 +-- .../FileAgentSkillScriptExecutionContext.cs | 35 ---- .../FileAgentSkillScriptExecutionDetails.cs | 25 --- .../Skills/FileAgentSkillScriptExecutor.cs | 42 ----- .../Skills/FileAgentSkillsProvider.cs | 49 ++--- .../Skills/FileAgentSkillsProviderOptions.cs | 14 +- ...InterpreterFileAgentSkillScriptExecutor.cs | 35 ---- ...killFrontmatter.cs => SkillFrontmatter.cs} | 9 +- .../AgentSkills/FileAgentSkillLoaderTests.cs | 50 +----- .../FileAgentSkillScriptExecutorTests.cs | 170 ------------------ .../FileAgentSkillsProviderTests.cs | 17 +- ...preterFileAgentSkillScriptExecutorTests.cs | 72 -------- 22 files changed, 66 insertions(+), 702 deletions(-) delete mode 100644 dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Agent_Step02_ScriptExecutionWithCodeInterpreter.csproj delete mode 100644 dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Program.cs delete mode 100644 dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/README.md delete mode 100644 dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/SKILL.md delete mode 100644 dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/references/PASSWORD_GUIDELINES.md delete mode 100644 dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/scripts/generate.py delete mode 100644 dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutionContext.cs delete mode 100644 dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutionDetails.cs delete mode 100644 dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutor.cs delete mode 100644 dotnet/src/Microsoft.Agents.AI/Skills/HostedCodeInterpreterFileAgentSkillScriptExecutor.cs rename dotnet/src/Microsoft.Agents.AI/Skills/{FileAgentSkillFrontmatter.cs => SkillFrontmatter.cs} (70%) delete mode 100644 dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillScriptExecutorTests.cs delete mode 100644 dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/HostedCodeInterpreterFileAgentSkillScriptExecutorTests.cs diff --git a/dotnet/agent-framework-dotnet.slnx b/dotnet/agent-framework-dotnet.slnx index 1ab73c2b8b..b96b891b00 100644 --- a/dotnet/agent-framework-dotnet.slnx +++ b/dotnet/agent-framework-dotnet.slnx @@ -82,7 +82,6 @@ - diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/Program.cs b/dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/Program.cs index eef57e840a..290c3f9b6b 100644 --- a/dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/Program.cs +++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step01_BasicSkills/Program.cs @@ -22,9 +22,6 @@ string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYM var skillsProvider = new FileAgentSkillsProvider(skillPath: Path.Combine(AppContext.BaseDirectory, "skills")); // --- Agent Setup --- -// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production. -// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid -// latency issues, unintended credential probing, and potential security risks from fallback mechanisms. AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential()) .GetResponsesClient(deploymentName) .AsAIAgent(new ChatClientAgentOptions diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Agent_Step02_ScriptExecutionWithCodeInterpreter.csproj b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Agent_Step02_ScriptExecutionWithCodeInterpreter.csproj deleted file mode 100644 index 2a503bbfb2..0000000000 --- a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Agent_Step02_ScriptExecutionWithCodeInterpreter.csproj +++ /dev/null @@ -1,28 +0,0 @@ - - - - Exe - net10.0 - - enable - enable - $(NoWarn);MAAI001 - - - - - - - - - - - - - - - PreserveNewest - - - - diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Program.cs b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Program.cs deleted file mode 100644 index 2835ec70ab..0000000000 --- a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/Program.cs +++ /dev/null @@ -1,49 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -// This sample demonstrates how to use Agent Skills with script execution via the hosted code interpreter. -// When FileAgentSkillScriptExecutor.HostedCodeInterpreter() is configured, the agent can load and execute scripts -// from skill resources using the LLM provider's built-in code interpreter. -// -// This sample includes the password-generator skill: -// - A Python script for generating secure passwords - -using Azure.AI.OpenAI; -using Azure.Identity; -using Microsoft.Agents.AI; -using OpenAI.Responses; - -// --- Configuration --- -string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") - ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); -string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini"; - -// --- Skills Provider with Script Execution --- -// Discovers skills and enables script execution via the hosted code interpreter -var skillsProvider = new FileAgentSkillsProvider( - skillPath: Path.Combine(AppContext.BaseDirectory, "skills"), - options: new FileAgentSkillsProviderOptions - { - ScriptExecutor = FileAgentSkillScriptExecutor.HostedCodeInterpreter() - }); - -// --- Agent Setup --- -// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production. -// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid -// latency issues, unintended credential probing, and potential security risks from fallback mechanisms. -AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential()) - .GetResponsesClient(deploymentName) - .AsAIAgent(new ChatClientAgentOptions - { - Name = "SkillsAgent", - ChatOptions = new() - { - Instructions = "You are a helpful assistant that can generate secure passwords.", - }, - AIContextProviders = [skillsProvider], - }); - -// --- Example: Password generation with script execution --- -Console.WriteLine("Example: Generating a password with a skill script"); -Console.WriteLine("---------------------------------------------------"); -AgentResponse response = await agent.RunAsync("Generate a secure password for my database account."); -Console.WriteLine($"Agent: {response.Text}\n"); diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/README.md b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/README.md deleted file mode 100644 index f5bf63c44a..0000000000 --- a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/README.md +++ /dev/null @@ -1,72 +0,0 @@ -# Script Execution with Code Interpreter - -This sample demonstrates how to use **Agent Skills** with **script execution** via the hosted code interpreter. - -## What's Different from Step01? - -In the [basic skills sample](../Agent_Step01_BasicSkills/), skills only provide instructions and resources as text. This sample adds **script execution** — the agent can load Python scripts from skill resources and execute them using the LLM provider's built-in code interpreter. - -This is enabled by configuring `FileAgentSkillScriptExecutor.HostedCodeInterpreter()` on the skills provider options: - -```csharp -var skillsProvider = new FileAgentSkillsProvider( - skillPath: Path.Combine(AppContext.BaseDirectory, "skills"), - options: new FileAgentSkillsProviderOptions - { - ScriptExecutor = FileAgentSkillScriptExecutor.HostedCodeInterpreter() - }); -``` - -## Skills Included - -### password-generator -Generates secure passwords using a Python script with configurable length and complexity. -- `scripts/generate.py` — Password generation script -- `references/PASSWORD_GUIDELINES.md` — Recommended length and symbol sets by use case - -## Project Structure - -``` -Agent_Step02_ScriptExecutionWithCodeInterpreter/ -├── Program.cs -├── Agent_Step02_ScriptExecutionWithCodeInterpreter.csproj -└── skills/ - └── password-generator/ - ├── SKILL.md - ├── scripts/ - │ └── generate.py - └── references/ - └── PASSWORD_GUIDELINES.md -``` - -## Running the Sample - -### Prerequisites -- .NET 10.0 SDK -- Azure OpenAI endpoint with a deployed model that supports code interpreter - -### Setup -1. Set environment variables: - ```bash - export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/" - export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini" - ``` - -2. Run the sample: - ```bash - dotnet run - ``` - -### Example - -The sample asks the agent to generate a secure password. The agent: -1. Loads the password-generator skill -2. Reads the `generate.py` script via `read_skill_resource` -3. Executes the script using the code interpreter with appropriate parameters -4. Returns the generated password - -## Learn More - -- [Agent Skills Specification](https://agentskills.io/) -- [Step01: Basic Skills](../Agent_Step01_BasicSkills/) — Skills without script execution -- [Microsoft Agent Framework Documentation](../../../../../docs/) diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/SKILL.md b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/SKILL.md deleted file mode 100644 index c3ef67401b..0000000000 --- a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/SKILL.md +++ /dev/null @@ -1,16 +0,0 @@ ---- -name: password-generator -description: Generate secure passwords using a Python script. Use when asked to create passwords or credentials. ---- - -# Password Generator - -This skill generates secure passwords using a Python script. - -## Usage - -When the user requests a password: -1. First, review `references/PASSWORD_GUIDELINES.md` to determine the recommended password length and character sets for the user's use case -2. Load `scripts/generate.py` and adjust its parameters (length, character set) based on the guidelines and user's requirements -3. Execute the script -4. Present the generated password clearly diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/references/PASSWORD_GUIDELINES.md b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/references/PASSWORD_GUIDELINES.md deleted file mode 100644 index be9145a4dd..0000000000 --- a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/references/PASSWORD_GUIDELINES.md +++ /dev/null @@ -1,24 +0,0 @@ -# Password Generation Guidelines - -## General Rules - -- Never reuse passwords across services. -- Always use cryptographically secure randomness (e.g., `random.SystemRandom()`). -- Avoid dictionary words, keyboard patterns, and personal information. - -## Recommended Settings by Use Case - -| Use Case | Min Length | Character Set | Example | -|-----------------------|-----------|----------------------------------------|--------------------------| -| Web account | 16 | Upper + lower + digits + symbols | `G7!kQp@2xM#nW9$z` | -| Database credential | 24 | Upper + lower + digits + symbols | `aR3$vK8!mN2@pQ7&xL5#wY` | -| Wi-Fi / network key | 20 | Upper + lower + digits + symbols | `Ht4&jL9!rP2#mK7@xQ` | -| API key / token | 32 | Upper + lower + digits (no symbols) | `k8Rm3xQ7nW2pL9vT4jH6yA` | -| Encryption passphrase | 32 | Upper + lower + digits + symbols | `Xp4!kR8@mN2#vQ7&jL9$wT` | - -## Symbol Sets - -- **Standard symbols**: `!@#$%^&*()-_=+` -- **Extended symbols**: `~`{}[]|;:'",.<>?/\` -- **Safe symbols** (URL/shell-safe): `!@#$&*-_=+` -- If the target system restricts symbols, use only the **safe** set. diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/scripts/generate.py b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/scripts/generate.py deleted file mode 100644 index b44f3d9731..0000000000 --- a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_ScriptExecutionWithCodeInterpreter/skills/password-generator/scripts/generate.py +++ /dev/null @@ -1,11 +0,0 @@ -# Password generator script -# Usage: Adjust 'length' as needed, then run - -import random -import string - -length = 16 # desired length - -pool = string.ascii_lowercase + string.ascii_uppercase + string.digits + string.punctuation -password = "".join(random.SystemRandom().choice(pool) for _ in range(length)) -print(f"Generated password ({length} chars): {password}") diff --git a/dotnet/samples/02-agents/AgentSkills/README.md b/dotnet/samples/02-agents/AgentSkills/README.md index 477a738fb8..8488ec9eed 100644 --- a/dotnet/samples/02-agents/AgentSkills/README.md +++ b/dotnet/samples/02-agents/AgentSkills/README.md @@ -5,4 +5,3 @@ Samples demonstrating Agent Skills capabilities. | Sample | Description | |--------|-------------| | [Agent_Step01_BasicSkills](Agent_Step01_BasicSkills/) | Using Agent Skills with a ChatClientAgent, including progressive disclosure and skill resources | -| [Agent_Step02_ScriptExecutionWithCodeInterpreter](Agent_Step02_ScriptExecutionWithCodeInterpreter/) | Using Agent Skills with script execution via the hosted code interpreter | diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkill.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkill.cs index da0d0b83dd..f28bad3ab0 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkill.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkill.cs @@ -1,8 +1,6 @@ // Copyright (c) Microsoft. All rights reserved. using System.Collections.Generic; -using System.Diagnostics.CodeAnalysis; -using Microsoft.Shared.DiagnosticIds; using Microsoft.Shared.Diagnostics; namespace Microsoft.Agents.AI; @@ -15,8 +13,7 @@ namespace Microsoft.Agents.AI; /// and a markdown body with instructions. Resource files referenced in the body are validated at /// discovery time and read from disk on demand. /// -[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)] -public sealed class FileAgentSkill +internal sealed class FileAgentSkill { /// /// Initializes a new instance of the class. @@ -25,8 +22,8 @@ public sealed class FileAgentSkill /// The SKILL.md content after the closing --- delimiter. /// Absolute path to the directory containing this skill. /// Relative paths of resource files referenced in the skill body. - internal FileAgentSkill( - FileAgentSkillFrontmatter frontmatter, + public FileAgentSkill( + SkillFrontmatter frontmatter, string body, string sourcePath, IReadOnlyList? resourceNames = null) @@ -40,20 +37,20 @@ public sealed class FileAgentSkill /// /// Gets the parsed YAML frontmatter (name and description). /// - public FileAgentSkillFrontmatter Frontmatter { get; } + public SkillFrontmatter Frontmatter { get; } + + /// + /// Gets the SKILL.md body content (without the YAML frontmatter). + /// + public string Body { get; } /// /// Gets the directory path where the skill was discovered. /// public string SourcePath { get; } - /// - /// Gets the SKILL.md body content (without the YAML frontmatter). - /// - internal string Body { get; } - /// /// Gets the relative paths of resource files referenced in the skill body (e.g., "references/FAQ.md"). /// - internal IReadOnlyList ResourceNames { get; } + public IReadOnlyList ResourceNames { get; } } diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillLoader.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillLoader.cs index 8f55fc93c3..8c034b3122 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillLoader.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillLoader.cs @@ -2,7 +2,6 @@ using System; using System.Collections.Generic; -using System.Diagnostics.CodeAnalysis; using System.IO; using System.Linq; using System.Text; @@ -10,7 +9,6 @@ using System.Text.RegularExpressions; using System.Threading; using System.Threading.Tasks; using Microsoft.Extensions.Logging; -using Microsoft.Shared.DiagnosticIds; namespace Microsoft.Agents.AI; @@ -22,8 +20,7 @@ namespace Microsoft.Agents.AI; /// Each file is validated for YAML frontmatter and resource integrity. Invalid skills are excluded /// with logged warnings. Resource paths are checked against path traversal and symlink escape attacks. /// -[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)] -public sealed partial class FileAgentSkillLoader +internal sealed partial class FileAgentSkillLoader { private const string SkillFileName = "SKILL.md"; private const int MaxSearchDepth = 2; @@ -36,16 +33,13 @@ public sealed partial class FileAgentSkillLoader // Example: "---\nname: foo\n---\nBody" → Group 1: "name: foo\n" private static readonly Regex s_frontmatterRegex = new(@"\A\uFEFF?^---\s*$(.+?)^---\s*$", RegexOptions.Multiline | RegexOptions.Singleline | RegexOptions.Compiled, TimeSpan.FromSeconds(5)); - // Matches resource file references in skill markdown. Group 1 = relative file path. - // Supports two forms: - // 1. Markdown links: [text](path/file.ext) - // 2. Backtick-quoted paths: `path/file.ext` + // Matches markdown links to local resource files. Group 1 = relative file path. // Supports optional ./ or ../ prefixes; excludes URLs (no ":" in the path character class). // Intentionally conservative: only matches paths with word characters, hyphens, dots, // and forward slashes. Paths with spaces or special characters are not supported. - // Examples: [doc](refs/FAQ.md) → "refs/FAQ.md", `./scripts/run.py` → "./scripts/run.py", + // Examples: [doc](refs/FAQ.md) → "refs/FAQ.md", [s](./s.json) → "./s.json", // [p](../shared/doc.txt) → "../shared/doc.txt" - private static readonly Regex s_resourceLinkRegex = new(@"(?:\[.*?\]\(|`)(\.?\.?/?[\w][\w\-./]*\.\w+)(?:\)|`)", RegexOptions.Compiled, TimeSpan.FromSeconds(5)); + private static readonly Regex s_resourceLinkRegex = new(@"\[.*?\]\((\.?\.?/?[\w][\w\-./]*\.\w+)\)", RegexOptions.Compiled, TimeSpan.FromSeconds(5)); // Matches YAML "key: value" lines. Group 1 = key, Group 2 = quoted value, Group 3 = unquoted value. // Accepts single or double quotes; the lazy quantifier trims trailing whitespace on unquoted values. @@ -117,7 +111,7 @@ public sealed partial class FileAgentSkillLoader /// /// The resource is not registered, resolves outside the skill directory, or does not exist. /// - public async Task ReadSkillResourceAsync(FileAgentSkill skill, string resourceName, CancellationToken cancellationToken = default) + internal async Task ReadSkillResourceAsync(FileAgentSkill skill, string resourceName, CancellationToken cancellationToken = default) { resourceName = NormalizeResourcePath(resourceName); @@ -195,7 +189,7 @@ public sealed partial class FileAgentSkillLoader string content = File.ReadAllText(skillFilePath, Encoding.UTF8); - if (!this.TryParseSkillDocument(content, skillFilePath, out FileAgentSkillFrontmatter frontmatter, out string body)) + if (!this.TryParseSkillDocument(content, skillFilePath, out SkillFrontmatter frontmatter, out string body)) { return null; } @@ -214,7 +208,7 @@ public sealed partial class FileAgentSkillLoader resourceNames: resourceNames); } - private bool TryParseSkillDocument(string content, string skillFilePath, out FileAgentSkillFrontmatter frontmatter, out string body) + private bool TryParseSkillDocument(string content, string skillFilePath, out SkillFrontmatter frontmatter, out string body) { frontmatter = null!; body = null!; @@ -270,7 +264,7 @@ public sealed partial class FileAgentSkillLoader return false; } - frontmatter = new FileAgentSkillFrontmatter(name, description); + frontmatter = new SkillFrontmatter(name, description); body = content.Substring(match.Index + match.Length).TrimStart(); return true; diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutionContext.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutionContext.cs deleted file mode 100644 index c28333a715..0000000000 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutionContext.cs +++ /dev/null @@ -1,35 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -using System.Collections.Generic; -using System.Diagnostics.CodeAnalysis; -using Microsoft.Shared.DiagnosticIds; - -namespace Microsoft.Agents.AI; - -/// -/// Provides access to loaded skills and the skill loader for use by implementations. -/// -[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)] -public sealed class FileAgentSkillScriptExecutionContext -{ - /// - /// Initializes a new instance of the class. - /// - /// The loaded skills dictionary. - /// The skill loader for reading resources. - internal FileAgentSkillScriptExecutionContext(Dictionary skills, FileAgentSkillLoader loader) - { - this.Skills = skills; - this.Loader = loader; - } - - /// - /// Gets the loaded skills keyed by name. - /// - public IReadOnlyDictionary Skills { get; } - - /// - /// Gets the skill loader for reading resources. - /// - public FileAgentSkillLoader Loader { get; } -} diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutionDetails.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutionDetails.cs deleted file mode 100644 index 4c12848386..0000000000 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutionDetails.cs +++ /dev/null @@ -1,25 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -using System.Collections.Generic; -using System.Diagnostics.CodeAnalysis; -using Microsoft.Extensions.AI; -using Microsoft.Shared.DiagnosticIds; - -namespace Microsoft.Agents.AI; - -/// -/// Represents the tools and instructions contributed by a . -/// -[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)] -public sealed class FileAgentSkillScriptExecutionDetails -{ - /// - /// Gets the additional instructions to provide to the agent for script execution. - /// - public string? Instructions { get; set; } - - /// - /// Gets the additional tools to provide to the agent for script execution. - /// - public IReadOnlyList? Tools { get; set; } -} diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutor.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutor.cs deleted file mode 100644 index 1171940e72..0000000000 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillScriptExecutor.cs +++ /dev/null @@ -1,42 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -using System.Diagnostics.CodeAnalysis; -using Microsoft.Shared.DiagnosticIds; - -namespace Microsoft.Agents.AI; - -/// -/// Defines the contract for skill script execution modes. -/// -/// -/// -/// A provides the instructions and tools needed to enable -/// script execution within an agent skill. Concrete implementations determine how scripts -/// are executed (e.g., via the LLM's hosted code interpreter, an external executor, or a hybrid approach). -/// -/// -/// Use the static factory methods to create instances: -/// -/// — executes scripts using the LLM provider's built-in code interpreter. -/// -/// -/// -[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)] -public abstract class FileAgentSkillScriptExecutor -{ - /// - /// Creates a that uses the LLM provider's hosted code interpreter for script execution. - /// - /// A instance configured for hosted code interpreter execution. - public static FileAgentSkillScriptExecutor HostedCodeInterpreter() => new HostedCodeInterpreterFileAgentSkillScriptExecutor(); - - /// - /// Returns the tools and instructions contributed by this executor. - /// - /// - /// The execution context provided by the skills provider, containing the loaded skills - /// and the skill loader for reading resources. - /// - /// A containing the executor's tools and instructions. - protected internal abstract FileAgentSkillScriptExecutionDetails GetExecutionDetails(FileAgentSkillScriptExecutionContext context); -} diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs index 7acec160d4..847bf36a52 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs @@ -48,21 +48,21 @@ public sealed partial class FileAgentSkillsProvider : AIContextProvider Each skill provides specialized instructions, reference documents, and assets for specific tasks. - {skills} + {0} When a task aligns with a skill's domain: - - Use `load_skill` to retrieve the skill's instructions - - Follow the provided guidance - - Use `read_skill_resource` to read any references or other files mentioned by the skill, always using the full path as written (e.g. `references/FAQ.md`, not just `FAQ.md`) - {executor_instructions} + 1. Use `load_skill` to retrieve the skill's instructions + 2. Follow the provided guidance + 3. Use `read_skill_resource` to read any references or other files mentioned by the skill + Only load what is needed, when it is needed. """; private readonly Dictionary _skills; private readonly ILogger _logger; private readonly FileAgentSkillLoader _loader; - private readonly IEnumerable _tools; + private readonly AITool[] _tools; private readonly string? _skillsInstructionPrompt; /// @@ -91,13 +91,9 @@ public sealed partial class FileAgentSkillsProvider : AIContextProvider this._loader = new FileAgentSkillLoader(this._logger); this._skills = this._loader.DiscoverAndLoadSkills(skillPaths); - var executionDetails = options?.ScriptExecutor is { } executor - ? executor.GetExecutionDetails(new(this._skills, this._loader)) - : null; + this._skillsInstructionPrompt = BuildSkillsInstructionPrompt(options, this._skills); - this._skillsInstructionPrompt = BuildSkillsInstructionPrompt(options, this._skills, executionDetails?.Instructions); - - AITool[] baseTools = + this._tools = [ AIFunctionFactory.Create( this.LoadSkill, @@ -108,10 +104,6 @@ public sealed partial class FileAgentSkillsProvider : AIContextProvider name: "read_skill_resource", description: "Reads a file associated with a skill, such as references or assets."), ]; - - this._tools = executionDetails?.Tools is { Count: > 0 } executorTools - ? baseTools.Concat(executorTools) - : baseTools; } /// @@ -125,7 +117,7 @@ public sealed partial class FileAgentSkillsProvider : AIContextProvider return new ValueTask(new AIContext { Instructions = this._skillsInstructionPrompt, - Tools = this._tools, + Tools = this._tools }); } @@ -174,9 +166,24 @@ public sealed partial class FileAgentSkillsProvider : AIContextProvider } } - private static string? BuildSkillsInstructionPrompt(FileAgentSkillsProviderOptions? options, Dictionary skills, string? instructions) + private static string? BuildSkillsInstructionPrompt(FileAgentSkillsProviderOptions? options, Dictionary skills) { - string promptTemplate = options?.SkillsInstructionPrompt ?? DefaultSkillsInstructionPrompt; + string promptTemplate = DefaultSkillsInstructionPrompt; + + if (options?.SkillsInstructionPrompt is { } optionsInstructions) + { + try + { + promptTemplate = string.Format(optionsInstructions, string.Empty); + } + catch (FormatException ex) + { + throw new ArgumentException( + "The provided SkillsInstructionPrompt is not a valid format string. It must contain a '{0}' placeholder and escape any literal '{' or '}' by doubling them ('{{' or '}}').", + nameof(options), + ex); + } + } if (skills.Count == 0) { @@ -195,9 +202,7 @@ public sealed partial class FileAgentSkillsProvider : AIContextProvider sb.AppendLine(" "); } - return promptTemplate - .Replace("{skills}", sb.ToString().TrimEnd()) - .Replace("{executor_instructions}", instructions ?? "\n"); + return string.Format(promptTemplate, sb.ToString().TrimEnd()); } [LoggerMessage(LogLevel.Information, "Loading skill: {SkillName}")] diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProviderOptions.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProviderOptions.cs index 7d86d3b4ae..a47841c260 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProviderOptions.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProviderOptions.cs @@ -13,20 +13,8 @@ public sealed class FileAgentSkillsProviderOptions { /// /// Gets or sets a custom system prompt template for advertising skills. - /// Use {skills} as the placeholder for the generated skills list and - /// {executor_instructions} for executor-provided instructions. + /// Use {0} as the placeholder for the generated skills list. /// When , a default template is used. /// public string? SkillsInstructionPrompt { get; set; } - - /// - /// Gets or sets the skill executor that enables script execution for loaded skills. - /// - /// - /// When (the default), script execution is disabled and skills only provide - /// instructions and resources. Set this to a instance (e.g., - /// ) to enable script execution with - /// mode-specific instructions and tools. - /// - public FileAgentSkillScriptExecutor? ScriptExecutor { get; set; } } diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/HostedCodeInterpreterFileAgentSkillScriptExecutor.cs b/dotnet/src/Microsoft.Agents.AI/Skills/HostedCodeInterpreterFileAgentSkillScriptExecutor.cs deleted file mode 100644 index 88fb1f86a2..0000000000 --- a/dotnet/src/Microsoft.Agents.AI/Skills/HostedCodeInterpreterFileAgentSkillScriptExecutor.cs +++ /dev/null @@ -1,35 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -using Microsoft.Extensions.AI; - -namespace Microsoft.Agents.AI; - -/// -/// A that uses the LLM provider's hosted code interpreter for script execution. -/// -/// -/// This executor directs the LLM to load scripts via read_skill_resource and execute them -/// using the provider's built-in code interpreter. A is -/// registered to signal the provider to enable its code interpreter sandbox. -/// -internal sealed class HostedCodeInterpreterFileAgentSkillScriptExecutor : FileAgentSkillScriptExecutor -{ - private static readonly FileAgentSkillScriptExecutionDetails s_contribution = new() - { - Instructions = - """ - - Some skills include executable scripts (e.g., Python files) in their resources. - When a skill's instructions reference a script: - 1. Use `read_skill_resource` to load the script content - 2. Execute the script using the code interpreter - - """, - Tools = [new HostedCodeInterpreterTool()], - }; - - /// -#pragma warning disable RCS1168 // Parameter name differs from base name - protected internal override FileAgentSkillScriptExecutionDetails GetExecutionDetails(FileAgentSkillScriptExecutionContext _) => s_contribution; -#pragma warning restore RCS1168 // Parameter name differs from base name -} diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillFrontmatter.cs b/dotnet/src/Microsoft.Agents.AI/Skills/SkillFrontmatter.cs similarity index 70% rename from dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillFrontmatter.cs rename to dotnet/src/Microsoft.Agents.AI/Skills/SkillFrontmatter.cs index c369ad319f..123a6c43f4 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillFrontmatter.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/SkillFrontmatter.cs @@ -1,7 +1,5 @@ // Copyright (c) Microsoft. All rights reserved. -using System.Diagnostics.CodeAnalysis; -using Microsoft.Shared.DiagnosticIds; using Microsoft.Shared.Diagnostics; namespace Microsoft.Agents.AI; @@ -9,15 +7,14 @@ namespace Microsoft.Agents.AI; /// /// Parsed YAML frontmatter from a SKILL.md file, containing the skill's name and description. /// -[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)] -public sealed class FileAgentSkillFrontmatter +internal sealed class SkillFrontmatter { /// - /// Initializes a new instance of the class. + /// Initializes a new instance of the class. /// /// Skill name. /// Skill description. - internal FileAgentSkillFrontmatter(string name, string description) + public SkillFrontmatter(string name, string description) { this.Name = Throw.IfNullOrWhitespace(name); this.Description = Throw.IfNullOrWhitespace(description); diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs index c9e154a277..c34eb6d7f2 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs @@ -501,7 +501,7 @@ public sealed class FileAgentSkillLoaderTests : IDisposable } // Manually construct a skill that bypasses discovery validation - var frontmatter = new FileAgentSkillFrontmatter("symlink-read-skill", "A skill"); + var frontmatter = new SkillFrontmatter("symlink-read-skill", "A skill"); var skill = new FileAgentSkill( frontmatter: frontmatter, body: "See [doc](refs/data.md).", @@ -532,54 +532,6 @@ public sealed class FileAgentSkillLoaderTests : IDisposable Assert.Equal("Body content.", skills["bom-skill"].Body); } - [Theory] - [InlineData("No resource references.", new string[0])] - [InlineData("Review `refs/FAQ.md` for details.", new[] { "refs/FAQ.md" })] - [InlineData("See [guide](refs/guide.md) then run `scripts/run.py`.", new[] { "refs/guide.md", "scripts/run.py" })] - public void DiscoverAndLoadSkills_ResourceReferences_ExtractsExpectedResourceNames(string body, string[] expectedResources) - { - // Arrange — create skill with resource files on disk so validation passes - string skillDir = Path.Combine(this._testRoot, "res-skill"); - Directory.CreateDirectory(skillDir); - foreach (string resource in expectedResources) - { - string resourcePath = Path.Combine(skillDir, resource.Replace('/', Path.DirectorySeparatorChar)); - Directory.CreateDirectory(Path.GetDirectoryName(resourcePath)!); - File.WriteAllText(resourcePath, "content"); - } - - File.WriteAllText( - Path.Combine(skillDir, "SKILL.md"), - $"---\nname: res-skill\ndescription: Resource test\n---\n{body}"); - - // Act - var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); - - // Assert - Assert.Single(skills); - var skill = skills["res-skill"]; - Assert.Equal(expectedResources.Length, skill.ResourceNames.Count); - foreach (string expected in expectedResources) - { - Assert.Contains(expected, skill.ResourceNames); - } - } - - [Fact] - public async Task ReadSkillResourceAsync_BacktickResourcePath_ReturnsContentAsync() - { - // Arrange — skill body uses backtick-quoted path - _ = this.CreateSkillDirectoryWithResource("backtick-read", "A skill", "Load `refs/doc.md` first.", "refs/doc.md", "Backtick content."); - var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); - var skill = skills["backtick-read"]; - - // Act - string content = await this._loader.ReadSkillResourceAsync(skill, "refs/doc.md"); - - // Assert - Assert.Equal("Backtick content.", content); - } - private string CreateSkillDirectory(string name, string description, string body) { string skillDir = Path.Combine(this._testRoot, name); diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillScriptExecutorTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillScriptExecutorTests.cs deleted file mode 100644 index 1be56e49c9..0000000000 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillScriptExecutorTests.cs +++ /dev/null @@ -1,170 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -using System; -using System.Collections.Generic; -using System.IO; -using System.Linq; -using System.Threading; -using System.Threading.Tasks; -using Microsoft.Extensions.AI; -using Microsoft.Extensions.Logging.Abstractions; - -namespace Microsoft.Agents.AI.UnitTests.AgentSkills; - -/// -/// Unit tests for and its integration with . -/// -public sealed class FileAgentSkillScriptExecutorTests : IDisposable -{ - private readonly string _testRoot; - private readonly TestAIAgent _agent = new(); - private static readonly FileAgentSkillScriptExecutionContext s_emptyContext = new( - new Dictionary(StringComparer.OrdinalIgnoreCase), - new FileAgentSkillLoader(NullLogger.Instance)); - - public FileAgentSkillScriptExecutorTests() - { - this._testRoot = Path.Combine(Path.GetTempPath(), "skill-executor-tests-" + Guid.NewGuid().ToString("N")); - Directory.CreateDirectory(this._testRoot); - } - - public void Dispose() - { - if (Directory.Exists(this._testRoot)) - { - Directory.Delete(this._testRoot, recursive: true); - } - } - - [Fact] - public void HostedCodeInterpreter_ReturnsNonNullInstance() - { - // Act - var executor = FileAgentSkillScriptExecutor.HostedCodeInterpreter(); - - // Assert - Assert.NotNull(executor); - } - - [Fact] - public void HostedCodeInterpreter_GetExecutionDetails_ReturnsNonNullInstructions() - { - // Arrange - var executor = FileAgentSkillScriptExecutor.HostedCodeInterpreter(); - - // Act - var details = executor.GetExecutionDetails(s_emptyContext); - - // Assert - Assert.NotNull(details); - Assert.NotNull(details.Instructions); - Assert.NotEmpty(details.Instructions); - } - - [Fact] - public void HostedCodeInterpreter_GetExecutionDetails_ReturnsNonEmptyToolsList() - { - // Arrange - var executor = FileAgentSkillScriptExecutor.HostedCodeInterpreter(); - - // Act - var details = executor.GetExecutionDetails(s_emptyContext); - - // Assert - Assert.NotNull(details); - Assert.NotNull(details.Tools); - Assert.NotEmpty(details.Tools); - } - - [Fact] - public async Task Provider_WithExecutor_IncludesExecutorInstructionsInPromptAsync() - { - // Arrange - CreateSkill(this._testRoot, "exec-skill", "Executor test", "Body."); - var executor = FileAgentSkillScriptExecutor.HostedCodeInterpreter(); - var options = new FileAgentSkillsProviderOptions { ScriptExecutor = executor }; - var provider = new FileAgentSkillsProvider(this._testRoot, options); - var invokingContext = new AIContextProvider.InvokingContext(this._agent, session: null, new AIContext()); - - // Act - var result = await provider.InvokingAsync(invokingContext, CancellationToken.None); - - // Assert — executor instructions should be merged into the prompt - Assert.NotNull(result.Instructions); - Assert.Contains("code interpreter", result.Instructions, StringComparison.OrdinalIgnoreCase); - } - - [Fact] - public async Task Provider_WithExecutor_IncludesExecutorToolsAsync() - { - // Arrange - CreateSkill(this._testRoot, "tools-exec-skill", "Executor tools test", "Body."); - var executor = FileAgentSkillScriptExecutor.HostedCodeInterpreter(); - var options = new FileAgentSkillsProviderOptions { ScriptExecutor = executor }; - var provider = new FileAgentSkillsProvider(this._testRoot, options); - var invokingContext = new AIContextProvider.InvokingContext(this._agent, session: null, new AIContext()); - - // Act - var result = await provider.InvokingAsync(invokingContext, CancellationToken.None); - - // Assert — should have 3 tools: load_skill, read_skill_resource, and HostedCodeInterpreterTool - Assert.NotNull(result.Tools); - Assert.Equal(3, result.Tools!.Count()); - var toolNames = result.Tools!.Select(t => t.Name).ToList(); - Assert.Contains("load_skill", toolNames); - Assert.Contains("read_skill_resource", toolNames); - Assert.Single(result.Tools!, t => t is HostedCodeInterpreterTool); - } - - [Fact] - public async Task Provider_WithoutExecutor_DoesNotIncludeExecutorToolsAsync() - { - // Arrange - CreateSkill(this._testRoot, "no-exec-skill", "No executor test", "Body."); - var provider = new FileAgentSkillsProvider(this._testRoot); - var invokingContext = new AIContextProvider.InvokingContext(this._agent, session: null, new AIContext()); - - // Act - var result = await provider.InvokingAsync(invokingContext, CancellationToken.None); - - // Assert — should only have the two base tools - Assert.NotNull(result.Tools); - Assert.Equal(2, result.Tools!.Count()); - } - - [Fact] - public async Task Provider_WithHostedCodeInterpreter_MergesScriptInstructionsIntoPromptAsync() - { - // Arrange - CreateSkill(this._testRoot, "merge-skill", "Merge test", "Body."); - var executor = FileAgentSkillScriptExecutor.HostedCodeInterpreter(); - var options = new FileAgentSkillsProviderOptions { ScriptExecutor = executor }; - var provider = new FileAgentSkillsProvider(this._testRoot, options); - var invokingContext = new AIContextProvider.InvokingContext(this._agent, session: null, new AIContext()); - - // Act - var result = await provider.InvokingAsync(invokingContext, CancellationToken.None); - - // Assert — prompt should contain both the skill listing and the executor's script instructions - Assert.NotNull(result.Instructions); - string instructions = result.Instructions!; - - // Skill listing is present - Assert.Contains("merge-skill", instructions); - Assert.Contains("Merge test", instructions); - - // Hosted code interpreter script instructions are merged into the prompt - Assert.Contains("executable scripts", instructions); - Assert.Contains("read_skill_resource", instructions); - Assert.Contains("Execute the script using the code interpreter", instructions); - } - - private static void CreateSkill(string root, string name, string description, string body) - { - string skillDir = Path.Combine(root, name); - Directory.CreateDirectory(skillDir); - File.WriteAllText( - Path.Combine(skillDir, "SKILL.md"), - $"---\nname: {name}\ndescription: {description}\n---\n{body}"); - } -} diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillsProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillsProviderTests.cs index f95f3a7080..6bfaf1b546 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillsProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillsProviderTests.cs @@ -96,7 +96,7 @@ public sealed class FileAgentSkillsProviderTests : IDisposable this.CreateSkill("custom-prompt-skill", "Custom prompt", "Body."); var options = new FileAgentSkillsProviderOptions { - SkillsInstructionPrompt = "Custom template: {skills}" + SkillsInstructionPrompt = "Custom template: {0}" }; var provider = new FileAgentSkillsProvider(this._testRoot, options); var inputContext = new AIContext(); @@ -110,6 +110,21 @@ public sealed class FileAgentSkillsProviderTests : IDisposable Assert.StartsWith("Custom template:", result.Instructions); } + [Fact] + public void Constructor_InvalidPromptTemplate_ThrowsArgumentException() + { + // Arrange — template with unescaped braces and no valid {0} placeholder + var options = new FileAgentSkillsProviderOptions + { + SkillsInstructionPrompt = "Bad template with {unescaped} braces" + }; + + // Act & Assert + var ex = Assert.Throws(() => new FileAgentSkillsProvider(this._testRoot, options)); + Assert.Contains("SkillsInstructionPrompt", ex.Message); + Assert.Equal("options", ex.ParamName); + } + [Fact] public async Task InvokingCoreAsync_SkillNamesAreXmlEscapedAsync() { diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/HostedCodeInterpreterFileAgentSkillScriptExecutorTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/HostedCodeInterpreterFileAgentSkillScriptExecutorTests.cs deleted file mode 100644 index 84a4446779..0000000000 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/HostedCodeInterpreterFileAgentSkillScriptExecutorTests.cs +++ /dev/null @@ -1,72 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -using System; -using System.Collections.Generic; -using Microsoft.Extensions.AI; -using Microsoft.Extensions.Logging.Abstractions; - -namespace Microsoft.Agents.AI.UnitTests.AgentSkills; - -/// -/// Unit tests for . -/// -public sealed class HostedCodeInterpreterFileAgentSkillScriptExecutorTests -{ - private static readonly FileAgentSkillScriptExecutionContext s_emptyContext = new( - new Dictionary(StringComparer.OrdinalIgnoreCase), - new FileAgentSkillLoader(NullLogger.Instance)); - - [Fact] - public void GetExecutionDetails_ReturnsScriptExecutionGuidance() - { - // Arrange - var executor = new HostedCodeInterpreterFileAgentSkillScriptExecutor(); - - // Act - var details = executor.GetExecutionDetails(s_emptyContext); - - // Assert - Assert.NotNull(details.Instructions); - Assert.Contains("read_skill_resource", details.Instructions); - Assert.Contains("code interpreter", details.Instructions); - } - - [Fact] - public void GetExecutionDetails_ReturnsSingleHostedCodeInterpreterTool() - { - // Arrange - var executor = new HostedCodeInterpreterFileAgentSkillScriptExecutor(); - - // Act - var details = executor.GetExecutionDetails(s_emptyContext); - - // Assert - Assert.NotNull(details.Tools); - Assert.Single(details.Tools!); - Assert.IsType(details.Tools![0]); - } - - [Fact] - public void GetExecutionDetails_ReturnsSameInstanceOnMultipleCalls() - { - // Arrange - var executor = new HostedCodeInterpreterFileAgentSkillScriptExecutor(); - - // Act - var details1 = executor.GetExecutionDetails(s_emptyContext); - var details2 = executor.GetExecutionDetails(s_emptyContext); - - // Assert — static details should be reused - Assert.Same(details1, details2); - } - - [Fact] - public void FactoryMethod_ReturnsHostedCodeInterpreterFileAgentSkillScriptExecutor() - { - // Act - var executor = FileAgentSkillScriptExecutor.HostedCodeInterpreter(); - - // Assert - Assert.IsType(executor); - } -} From c4f643a750605fdc53770cad0ac53c0386f6486c Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Mon, 2 Mar 2026 23:06:58 +0900 Subject: [PATCH 14/59] 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 1d2965fff6575bccadc5150ab224d66f9676e3e1. * Revert to walrus operator fix per review feedback --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../azure/_responses_client.py | 2 +- .../azure/test_azure_responses_client.py | 23 +++++++++++++++++++ 2 files changed, 24 insertions(+), 1 deletion(-) diff --git a/python/packages/core/agent_framework/azure/_responses_client.py b/python/packages/core/agent_framework/azure/_responses_client.py index b5b0ca1b5e..2debbd7b21 100644 --- a/python/packages/core/agent_framework/azure/_responses_client.py +++ b/python/packages/core/agent_framework/azure/_responses_client.py @@ -180,7 +180,7 @@ class AzureOpenAIResponsesClient( # type: ignore[misc] client: AzureOpenAIResponsesClient[MyOptions] = AzureOpenAIResponsesClient() response = await client.get_response("Hello", options={"my_custom_option": "value"}) """ - if model_id := kwargs.pop("model_id", None) and not deployment_name: + if (model_id := kwargs.pop("model_id", None)) and not deployment_name: deployment_name = str(model_id) # Project client path: create OpenAI client from an Azure AI Foundry project diff --git a/python/packages/core/tests/azure/test_azure_responses_client.py b/python/packages/core/tests/azure/test_azure_responses_client.py index 4e9b25ca6a..37efff16ca 100644 --- a/python/packages/core/tests/azure/test_azure_responses_client.py +++ b/python/packages/core/tests/azure/test_azure_responses_client.py @@ -90,6 +90,29 @@ def test_init_model_id_constructor(azure_openai_unit_test_env: dict[str, str]) - assert isinstance(azure_responses_client, SupportsChatGetResponse) +def test_init_model_id_kwarg(azure_openai_unit_test_env: dict[str, str]) -> None: + """Test that model_id kwarg correctly sets the deployment name (issue #4299).""" + azure_responses_client = AzureOpenAIResponsesClient(model_id="gpt-4o") + + assert azure_responses_client.model_id == "gpt-4o" + assert isinstance(azure_responses_client, SupportsChatGetResponse) + + +def test_init_model_id_kwarg_does_not_override_deployment_name(azure_openai_unit_test_env: dict[str, str]) -> None: + """Test that deployment_name takes precedence over model_id kwarg (issue #4299).""" + azure_responses_client = AzureOpenAIResponsesClient(deployment_name="my-deployment", model_id="gpt-4o") + + assert azure_responses_client.model_id == "my-deployment" + assert isinstance(azure_responses_client, SupportsChatGetResponse) + + +def test_init_model_id_kwarg_none(azure_openai_unit_test_env: dict[str, str]) -> None: + """Test that model_id=None does not override the env-var deployment name.""" + azure_responses_client = AzureOpenAIResponsesClient(model_id=None) + + assert azure_responses_client.model_id == azure_openai_unit_test_env["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"] + + def test_init_with_default_header(azure_openai_unit_test_env: dict[str, str]) -> None: default_headers = {"X-Unit-Test": "test-guid"} From 7d374f00bbf08843e4262c45a0056991e0162e9f Mon Sep 17 00:00:00 2001 From: Tao Chen Date: Mon, 2 Mar 2026 08:24:20 -0800 Subject: [PATCH 15/59] Python: Fix samples discovered by auto validation pipeline (#4355) * Fix samples discovered by auto validation pipeline * Update python/samples/02-agents/devui/in_memory_mode.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- .../workflows/python-sample-validation.yml | 6 +++--- agent-samples/openai/OpenAIResponses.yaml | 2 +- .../chat_client/custom_chat_client.py | 6 ++++-- .../samples/02-agents/devui/in_memory_mode.py | 21 ++++++++++++++----- 4 files changed, 24 insertions(+), 11 deletions(-) diff --git a/.github/workflows/python-sample-validation.yml b/.github/workflows/python-sample-validation.yml index 1ada1ab113..2a5a0b6596 100644 --- a/.github/workflows/python-sample-validation.yml +++ b/.github/workflows/python-sample-validation.yml @@ -65,7 +65,7 @@ jobs: AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # OpenAI configuration - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }} OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }} OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_REASONING_MODEL_NAME }} # Observability @@ -227,7 +227,7 @@ jobs: AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} # OpenAI configuration - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }} OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }} OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_REASONING_MODEL_NAME }} defaults: @@ -268,7 +268,7 @@ jobs: AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # OpenAI configuration - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }} OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_ID }} OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_RESPONSES_MODEL_ID }} # Copilot Studio diff --git a/agent-samples/openai/OpenAIResponses.yaml b/agent-samples/openai/OpenAIResponses.yaml index bdc04d4a13..08fc9efe05 100644 --- a/agent-samples/openai/OpenAIResponses.yaml +++ b/agent-samples/openai/OpenAIResponses.yaml @@ -11,7 +11,7 @@ model: topP: 0.95 connection: kind: key - apiKey: =Env.OPENAI_APIKEY + apiKey: =Env.OPENAI_API_KEY outputSchema: properties: language: diff --git a/python/samples/02-agents/chat_client/custom_chat_client.py b/python/samples/02-agents/chat_client/custom_chat_client.py index aaeed76ced..cb63c74597 100644 --- a/python/samples/02-agents/chat_client/custom_chat_client.py +++ b/python/samples/02-agents/chat_client/custom_chat_client.py @@ -94,7 +94,9 @@ class EchoingChatClient(BaseChatClient[OptionsT]): response_text = f"{response_text} {suffix}" stream_delay_seconds = float(options.get("stream_delay_seconds", 0.05)) - response_message = Message(role="assistant", contents=[Content.from_text(response_text)]) + response_message = Message( + role="assistant", contents=[Content.from_text(response_text)] + ) response = ChatResponse( messages=[response_message], @@ -146,7 +148,7 @@ async def main() -> None: # Use the chat client directly print("Using chat client directly:") direct_response = await echo_client.get_response( - "Hello, custom chat client!", + [Message(role="user", text="Hello, custom chat client!")], options={ "uppercase": True, "suffix": "(CUSTOM OPTIONS)", diff --git a/python/samples/02-agents/devui/in_memory_mode.py b/python/samples/02-agents/devui/in_memory_mode.py index 62a2800315..8914bf8e8e 100644 --- a/python/samples/02-agents/devui/in_memory_mode.py +++ b/python/samples/02-agents/devui/in_memory_mode.py @@ -10,7 +10,14 @@ import logging import os from typing import Annotated -from agent_framework import Agent, Executor, WorkflowBuilder, WorkflowContext, handler, tool +from agent_framework import ( + Agent, + Executor, + WorkflowBuilder, + WorkflowContext, + handler, + tool, +) from agent_framework.azure import AzureOpenAIChatClient from agent_framework.devui import serve from dotenv import load_dotenv @@ -30,7 +37,9 @@ def get_weather( """Get the weather for a given location.""" conditions = ["sunny", "cloudy", "rainy", "stormy"] temperature = 53 - return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C." + return ( + f"The weather in {location} is {conditions[0]} with a high of {temperature}°C." + ) @tool(approval_mode="never_require") @@ -59,7 +68,9 @@ class AddExclamation(Executor): """Add exclamation mark to text.""" @handler - async def add_exclamation(self, text: str, ctx: WorkflowContext[Never, str]) -> None: + async def add_exclamation( + self, text: str, ctx: WorkflowContext[Never, str] + ) -> None: """Add exclamation and yield as workflow output.""" result = f"{text}!" await ctx.yield_output(result) @@ -74,9 +85,9 @@ def main(): # Create Azure OpenAI chat client client = AzureOpenAIChatClient( api_key=os.environ.get("AZURE_OPENAI_API_KEY"), - azure_endpoint=os.environ.get("AZURE_OPENAI_ENDPOINT"), + deployment_name=os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"], + endpoint=os.environ.get("AZURE_OPENAI_ENDPOINT"), api_version=os.environ.get("AZURE_OPENAI_API_VERSION", "2024-10-21"), - model_id=os.environ.get("AZURE_OPENAI_CHAT_DEPLOYMENT_NAME", "gpt-4o"), ) # Create agents From db48f8ce092026614ce8841b1674901f1047dade Mon Sep 17 00:00:00 2001 From: Ben Thomas Date: Mon, 2 Mar 2026 08:26:14 -0800 Subject: [PATCH 16/59] .NET: Fixing issue with invalid node Ids when visualizing dotnet workflows. (#4269) * Fix Mermaid rendering errors in WorkflowVisualizer.ToMermaidString Fix two bugs in the Mermaid diagram output: 1. Use safe node aliases (node_0, node_1, ...) instead of raw executor IDs as Mermaid node identifiers. Raw IDs containing spaces, dots, or non-ASCII characters (e.g. Japanese) caused Mermaid parse errors. 2. Fix conditional edge arrow syntax from '.--> ' (invalid) to '.-> ' (valid Mermaid dotted arrow syntax). Fixes #1406 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use recognizable sanitized IDs for Mermaid node identifiers\n\nReplace generic node_0/node_1 aliases with IDs derived from the original\nexecutor names. ASCII letters, digits, and underscores are preserved;\nother characters become underscores (collapsed, trimmed). Leading digits\nget an n_ prefix. Collisions are resolved with a numeric suffix.\n\nThis keeps node IDs readable in the Mermaid source while the display\nlabels continue to show the full original names." * Remove issue number references from test names and comments" * Address PR review feedback from Copilot\n\n- Add Throw.IfNull(id) guard to SanitizeMermaidNodeId\n- Add safety limit (10,000) to collision resolution loop\n- Restore missing edge assertions (middle1/middle2 --> end)\n- Fix comment to show actual sanitized ID (n_1_User_input)\n- Use stricter regex in Unicode test (must start with letter/underscore)" * Address second round of PR review feedback\n\n- Escape node display labels via EscapeMermaidLabel to handle quotes,\n brackets, and newlines in executor IDs\n- Fix XML doc on SanitizeMermaidNodeId to accurately describe that\n existing consecutive underscores in input are preserved\n- Restore specific edge assertion (mid --> end) in conditional edge test\n- Restore fan-in routing assertions (s1/s2 through intermediate node,\n no direct edges to t) in fan-in test" --------- Co-authored-by: alliscode Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../Visualization/WorkflowVisualizer.cs | 96 ++++++++++-- .../WorkflowVisualizerTests.cs | 146 +++++++++++++++--- 2 files changed, 215 insertions(+), 27 deletions(-) diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs index e1b69e9f9e..d09273fbc1 100644 --- a/dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs +++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Visualization/WorkflowVisualizer.cs @@ -153,18 +153,52 @@ public static class WorkflowVisualizer private static void EmitWorkflowMermaid(Workflow workflow, List lines, string indent, string? ns = null) { - string MapId(string id) => ns != null ? $"{ns}/{id}" : id; + // Build a mapping from raw IDs to Mermaid-safe node aliases that preserve + // as much of the original ID as possible for readability. + // Mermaid node IDs cannot contain spaces, dots, pipes, or most special characters. + var aliasMap = new Dictionary(); + var usedAliases = new HashSet(StringComparer.Ordinal); + + string GetSafeId(string id) + { + var key = ns != null ? $"{ns}/{id}" : id; + if (!aliasMap.TryGetValue(key, out var alias)) + { + alias = SanitizeMermaidNodeId(key); + + // Handle collisions by appending a numeric suffix + if (!usedAliases.Add(alias)) + { + var i = 2; + while (!usedAliases.Add($"{alias}_{i}")) + { + if (i >= 10_000) + { + throw new InvalidOperationException($"Unable to generate a unique Mermaid node ID for '{key}'."); + } + + i++; + } + + alias = $"{alias}_{i}"; + } + + aliasMap[key] = alias; + } + + return alias; + } // Add start node var startExecutorId = workflow.StartExecutorId; - lines.Add($"{indent}{MapId(startExecutorId)}[\"{startExecutorId} (Start)\"];"); + lines.Add($"{indent}{GetSafeId(startExecutorId)}[\"{EscapeMermaidLabel(startExecutorId)} (Start)\"];"); // Add other executor nodes foreach (var executorId in workflow.ExecutorBindings.Keys) { if (executorId != startExecutorId) { - lines.Add($"{indent}{MapId(executorId)}[\"{executorId}\"];"); + lines.Add($"{indent}{GetSafeId(executorId)}[\"{EscapeMermaidLabel(executorId)}\"];"); } } @@ -175,7 +209,7 @@ public static class WorkflowVisualizer lines.Add(""); foreach (var (nodeId, _, _) in fanInDescriptors) { - lines.Add($"{indent}{MapId(nodeId)}((fan-in))"); + lines.Add($"{indent}{GetSafeId(nodeId)}((fan-in))"); } } @@ -184,9 +218,9 @@ public static class WorkflowVisualizer { foreach (var src in sources) { - lines.Add($"{indent}{MapId(src)} --> {MapId(nodeId)};"); + lines.Add($"{indent}{GetSafeId(src)} --> {GetSafeId(nodeId)};"); } - lines.Add($"{indent}{MapId(nodeId)} --> {MapId(target)};"); + lines.Add($"{indent}{GetSafeId(nodeId)} --> {GetSafeId(target)};"); } // Emit normal edges @@ -197,17 +231,17 @@ public static class WorkflowVisualizer string effectiveLabel = label != null ? EscapeMermaidLabel(label) : "conditional"; // Conditional edge, with user label or default - lines.Add($"{indent}{MapId(src)} -. {effectiveLabel} .--> {MapId(target)};"); + lines.Add($"{indent}{GetSafeId(src)} -. {effectiveLabel} .-> {GetSafeId(target)};"); } else if (label != null) { // Regular edge with label - lines.Add($"{indent}{MapId(src)} -->|{EscapeMermaidLabel(label)}| {MapId(target)};"); + lines.Add($"{indent}{GetSafeId(src)} -->|{EscapeMermaidLabel(label)}| {GetSafeId(target)};"); } else { // Regular edge without label - lines.Add($"{indent}{MapId(src)} --> {MapId(target)};"); + lines.Add($"{indent}{GetSafeId(src)} --> {GetSafeId(target)};"); } } } @@ -301,6 +335,50 @@ public static class WorkflowVisualizer return false; } + /// + /// Converts a raw node ID into a Mermaid-safe identifier that preserves as much + /// of the original text as possible. ASCII letters, digits, and underscores are kept + /// as-is (including existing consecutive underscores). All other characters (including + /// non-ASCII letters) are replaced with underscores, with consecutive invalid characters + /// collapsed into a single underscore. A leading digit gets a prefix. + /// + private static string SanitizeMermaidNodeId(string id) + { + Throw.IfNull(id); + + var sb = new StringBuilder(id.Length); + bool lastWasUnderscore = false; + foreach (var ch in id) + { + bool isAsciiSafe = (ch >= 'a' && ch <= 'z') || (ch >= 'A' && ch <= 'Z') || (ch >= '0' && ch <= '9') || ch == '_'; + if (isAsciiSafe) + { + sb.Append(ch); + lastWasUnderscore = ch == '_'; + } + else if (!lastWasUnderscore) + { + sb.Append('_'); + lastWasUnderscore = true; + } + } + + // Trim trailing underscore + while (sb.Length > 0 && sb[sb.Length - 1] == '_') + { + sb.Length--; + } + + // Mermaid IDs must not start with a digit + if (sb.Length > 0 && sb[0] >= '0' && sb[0] <= '9') + { + sb.Insert(0, "n_"); + } + + // Guard against empty result (e.g. id was all special chars) + return sb.Length == 0 ? "node" : sb.ToString(); + } + // Helper method to escape special characters in DOT labels private static string EscapeDotLabel(string label) { diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/WorkflowVisualizerTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/WorkflowVisualizerTests.cs index f6740cc48e..c8cf2cf214 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/WorkflowVisualizerTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/WorkflowVisualizerTests.cs @@ -292,11 +292,14 @@ public class WorkflowVisualizerTests var mermaidContent = workflow.ToMermaidString(); - // Conditional edge should be dotted with label - mermaidContent.Should().Contain("start -. conditional .--> mid"); - // Non-conditional edge should be solid + // Conditional edge should be dotted with label (using .-> not .-->) + mermaidContent.Should().Contain("-. conditional .-> "); + // Non-conditional edge should be a specific solid arrow mermaidContent.Should().Contain("mid --> end"); - mermaidContent.Should().NotContain("end -. conditional"); + // Display labels should be present + mermaidContent.Should().Contain("\"start (Start)\""); + mermaidContent.Should().Contain("\"mid\""); + mermaidContent.Should().Contain("\"end\""); } [Fact] @@ -320,7 +323,7 @@ public class WorkflowVisualizerTests var fanInLines = Array.FindAll(lines, line => line.Contains("((fan-in))")); fanInLines.Should().HaveCount(1); - // Extract the intermediate node id from the line + // Extract the intermediate fan-in node id from the line var fanInLine = fanInLines[0].Trim(); var fanInNodeId = fanInLine.Substring(0, fanInLine.IndexOf("((fan-in))", StringComparison.Ordinal)).Trim(); fanInNodeId.Should().NotBeNullOrEmpty(); @@ -333,6 +336,24 @@ public class WorkflowVisualizerTests // Ensure direct edges are not present mermaidContent.Should().NotContain("s1 --> t"); mermaidContent.Should().NotContain("s2 --> t"); + + // Display labels should be present + mermaidContent.Should().Contain("\"start (Start)\""); + mermaidContent.Should().Contain("\"s1\""); + mermaidContent.Should().Contain("\"s2\""); + mermaidContent.Should().Contain("\"t\""); + + // All node IDs should be safe aliases (ASCII-only identifiers) + foreach (var line in mermaidContent.Split('\n')) + { + var trimmed = line.Trim(); + if (trimmed.Contains("[\"") || trimmed.Contains("((")) + { + var bracketIdx = trimmed.IndexOfAny(['[', '(']); + var nodeId = trimmed.Substring(0, bracketIdx); + nodeId.Should().MatchRegex("^[a-zA-Z_][a-zA-Z0-9_]*$"); + } + } } [Fact] @@ -353,13 +374,14 @@ public class WorkflowVisualizerTests var mermaidContent = workflow.ToMermaidString(); - // Check all executors are present - mermaidContent.Should().Contain("start[\"start (Start)\"]"); - mermaidContent.Should().Contain("middle1[\"middle1\"]"); - mermaidContent.Should().Contain("middle2[\"middle2\"]"); - mermaidContent.Should().Contain("end[\"end\"]"); + // Check display labels are present + mermaidContent.Should().Contain("\"start (Start)\""); + mermaidContent.Should().Contain("\"middle1\""); + mermaidContent.Should().Contain("\"middle2\""); + mermaidContent.Should().Contain("\"end\""); - // Check all edges are present + // Check that sanitized IDs are used and all edges connect them + mermaidContent.Should().Contain("start[\"start (Start)\"]"); mermaidContent.Should().Contain("start --> middle1"); mermaidContent.Should().Contain("start --> middle2"); mermaidContent.Should().Contain("middle1 --> end"); @@ -386,15 +408,19 @@ public class WorkflowVisualizerTests var mermaidContent = workflow.ToMermaidString(); - // Check conditional edge - mermaidContent.Should().Contain("start -. conditional .--> a"); - - // Check fan-out edges - mermaidContent.Should().Contain("a --> b"); - mermaidContent.Should().Contain("a --> c"); + // Check conditional edge uses correct syntax (.-> not .-->) + mermaidContent.Should().Contain("-. conditional .->"); + mermaidContent.Should().NotContain(".-->"); // Check fan-in (should have intermediate node) mermaidContent.Should().Contain("((fan-in))"); + + // Display labels should be present + mermaidContent.Should().Contain("\"start (Start)\""); + mermaidContent.Should().Contain("\"a\""); + mermaidContent.Should().Contain("\"b\""); + mermaidContent.Should().Contain("\"c\""); + mermaidContent.Should().Contain("\"end\""); } [Fact] @@ -411,7 +437,7 @@ public class WorkflowVisualizerTests var mermaidContent = workflow.ToMermaidString(); // Should escape pipe character - mermaidContent.Should().Contain("start -->|High | Low Priority| end"); + mermaidContent.Should().Contain("-->|High | Low Priority|"); // Should not contain unescaped pipe that would break syntax mermaidContent.Should().NotContain("-->|High | Low"); } @@ -453,4 +479,88 @@ public class WorkflowVisualizerTests // Should not contain literal newline in the label (but the overall output has newlines between statements) mermaidContent.Should().NotContain("Line 1\nLine 2"); } + + [Fact] + public void Test_WorkflowViz_Mermaid_ConditionalEdge_ArrowSyntax() + { + // Conditional edges must use "-. label .->" (not ".-->") which is the correct + // Mermaid syntax for dotted arrows with labels. + var start = new MockExecutor("start"); + var mid = new MockExecutor("mid"); + + static bool Condition(string? msg) => msg == "foo"; + + var workflow = new WorkflowBuilder("start") + .AddEdge(start, mid, Condition) + .Build(); + + var mermaidContent = workflow.ToMermaidString(); + + // The output should use ".->" not ".-->" for conditional (dotted) edges + mermaidContent.Should().NotContain(".-->", because: "'.-->' is invalid Mermaid syntax for dotted arrows; should be '.->'"); + mermaidContent.Should().Contain("-. conditional .->", because: "'-. label .->' is the correct Mermaid syntax for dotted arrows with labels"); + } + + [Fact] + public void Test_WorkflowViz_Mermaid_IdentifiersWithSpaces() + { + // Identifiers with spaces must not be used directly as Mermaid node IDs + // because spaces cause rendering errors. + var executor1 = new MockExecutor("1. User input"); + var executor2 = new MockExecutor("2. Process data"); + + var workflow = new WorkflowBuilder("1. User input") + .AddEdge(executor1, executor2) + .Build(); + + var mermaidContent = workflow.ToMermaidString(); + + // Node definitions should use safe aliases as IDs (no spaces), with display names in quotes + // Bad: '1. User input["1. User input (Start)"]' — spaces in ID break Mermaid + // Good: 'n_1_User_input["1. User input (Start)"]' — alias ID is safe and sanitized + + // Each node definition line (containing ["..."]) should have a space-free ID before the bracket + foreach (var line in mermaidContent.Split('\n')) + { + var trimmed = line.Trim(); + if (trimmed.Contains("[\"")) + { + var bracketIdx = trimmed.IndexOf('['); + var nodeId = trimmed.Substring(0, bracketIdx); + nodeId.Should().NotContain(" ", because: $"Mermaid node IDs must not contain spaces, but got '{nodeId}'"); + } + } + } + + [Fact] + public void Test_WorkflowViz_Mermaid_IdentifiersWithUnicode() + { + // Non-ASCII characters (e.g. Japanese) in identifiers cause Mermaid rendering errors. + var executor1 = new MockExecutor("ユーザー入力"); + var executor2 = new MockExecutor("データ処理"); + + var workflow = new WorkflowBuilder("ユーザー入力") + .AddEdge(executor1, executor2) + .Build(); + + var mermaidContent = workflow.ToMermaidString(); + + // The display labels should contain the original names + mermaidContent.Should().Contain("ユーザー入力"); + mermaidContent.Should().Contain("データ処理"); + + // But node IDs (before the bracket) should be safe ASCII-only identifiers + foreach (var line in mermaidContent.Split('\n')) + { + var trimmed = line.Trim(); + if (trimmed.Contains("[\"")) + { + var bracketIdx = trimmed.IndexOf('['); + var nodeId = trimmed.Substring(0, bracketIdx); + // Node ID should start with a letter or underscore, followed by ASCII alphanumeric or underscores + nodeId.Should().MatchRegex("^[a-zA-Z_][a-zA-Z0-9_]*$", + because: $"Mermaid node IDs should be ASCII-safe, but got '{nodeId}'"); + } + } + } } From 8a18f39b367c21908e0f55c43a891490df088ec6 Mon Sep 17 00:00:00 2001 From: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> Date: Mon, 2 Mar 2026 16:48:10 +0000 Subject: [PATCH 17/59] fix the issue (#4388) --- .../src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs | 3 ++- .../AgentSkills/FileAgentSkillsProviderTests.cs | 2 ++ 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs index 847bf36a52..ad1ef752ee 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs @@ -174,7 +174,8 @@ public sealed partial class FileAgentSkillsProvider : AIContextProvider { try { - promptTemplate = string.Format(optionsInstructions, string.Empty); + _ = string.Format(optionsInstructions, string.Empty); + promptTemplate = optionsInstructions; } catch (FormatException ex) { diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillsProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillsProviderTests.cs index 6bfaf1b546..92dc5a5418 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillsProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillsProviderTests.cs @@ -108,6 +108,8 @@ public sealed class FileAgentSkillsProviderTests : IDisposable // Assert Assert.NotNull(result.Instructions); Assert.StartsWith("Custom template:", result.Instructions); + Assert.Contains("custom-prompt-skill", result.Instructions); + Assert.Contains("Custom prompt", result.Instructions); } [Fact] From f6b0610a6c5aab4ff15245571711de56b22e2043 Mon Sep 17 00:00:00 2001 From: westey <164392973+westey-m@users.noreply.github.com> Date: Mon, 2 Mar 2026 18:41:14 +0000 Subject: [PATCH 18/59] .NET: AuthN & AuthZ sample with asp.net service and web client (#4354) * Add sample demonstrating authentication and user access in agent tools * Add fixes to enable running on windows * Add launchsettings, add docker-compose to slnx and fix formatting * Switch to Expenses rather than todo based sample and address PR comments * Rename sample * Fix formatting --- dotnet/Directory.Packages.props | 2 + dotnet/agent-framework-dotnet.slnx | 6 + .../AspNetAgentAuthorization/README.md | 156 ++++++++++++ .../RazorWebClient/Dockerfile | 29 +++ .../RazorWebClient/Pages/Chat.cshtml | 35 +++ .../RazorWebClient/Pages/Chat.cshtml.cs | 79 ++++++ .../RazorWebClient/Pages/Index.cshtml | 18 ++ .../RazorWebClient/Pages/Index.cshtml.cs | 24 ++ .../Pages/Shared/_Layout.cshtml | 35 +++ .../RazorWebClient/Pages/_ViewImports.cshtml | 3 + .../RazorWebClient/Program.cs | 142 +++++++++++ .../Properties/launchSettings.json | 12 + .../RazorWebClient/RazorWebClient.csproj | 15 ++ .../RazorWebClient/appsettings.json | 15 ++ .../Service/Dockerfile | 34 +++ .../Service/ExpenseService.cs | 110 +++++++++ .../Service/Program.cs | 125 ++++++++++ .../Service/Properties/launchSettings.json | 12 + .../Service/Service.csproj | 20 ++ .../Service/UserContext.cs | 69 ++++++ .../Service/appsettings.json | 12 + .../docker-compose.yml | 80 ++++++ .../keycloak/dev-realm.json | 232 ++++++++++++++++++ .../keycloak/setup-redirect-uris.sh | 50 ++++ 24 files changed, 1315 insertions(+) create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/README.md create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Dockerfile create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Chat.cshtml create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Chat.cshtml.cs create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Index.cshtml create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Index.cshtml.cs create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Shared/_Layout.cshtml create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/_ViewImports.cshtml create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Program.cs create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Properties/launchSettings.json create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/appsettings.json create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Dockerfile create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/ExpenseService.cs create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Program.cs create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Properties/launchSettings.json create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/UserContext.cs create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/appsettings.json create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/docker-compose.yml create mode 100644 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/keycloak/dev-realm.json create mode 100755 dotnet/samples/05-end-to-end/AspNetAgentAuthorization/keycloak/setup-redirect-uris.sh diff --git a/dotnet/Directory.Packages.props b/dotnet/Directory.Packages.props index 396a316575..1b1e0daa08 100644 --- a/dotnet/Directory.Packages.props +++ b/dotnet/Directory.Packages.props @@ -58,6 +58,8 @@ + + diff --git a/dotnet/agent-framework-dotnet.slnx b/dotnet/agent-framework-dotnet.slnx index b96b891b00..9801ccc105 100644 --- a/dotnet/agent-framework-dotnet.slnx +++ b/dotnet/agent-framework-dotnet.slnx @@ -287,6 +287,12 @@ + + + + + + diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/README.md b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/README.md new file mode 100644 index 0000000000..c84dd125c3 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/README.md @@ -0,0 +1,156 @@ +# Auth Client-Server Sample + +This sample demonstrates how to authorize AI agents and their tools using OAuth 2.0 scopes. It shows two levels of access control: an endpoint-level scope (`agent.chat`) that gates access to the agent, and tool-level scopes (`expenses.view`, `expenses.approve`) that control what the agent can do on behalf of each user. + +While this sample uses Keycloak to avoid complex setup in order to run the sample, Keycloak can easily be replaced with any OIDC compatible provider, including [Microsoft Entra Id](https://www.microsoft.com/security/business/identity-access/microsoft-entra-id). + +## Overview + +The sample has three components, all launched with a single `docker compose up`: + +| Service | Port | Description | +|---------|------|-------------| +| **WebClient** | `http://localhost:8080` | Razor Pages web app with OIDC login and a chat UI that calls the AgentService | +| **AgentService** | `http://localhost:5001` | ASP.NET Minimal API hosting an expense approval agent with scope-authorized tools | +| **Keycloak** | `http://localhost:5002` | OIDC identity provider, auto-provisioned with realm, clients, scopes, and test users | + +``` +┌──────────────┐ OIDC login ┌───────────┐ +│ WebClient │ ◄──────────────────► │ Keycloak │ +│ (Razor app) │ (browser flow) │ (Docker) │ +│ :8080 │ │ :5002 │ +└──────┬───────┘ └─────┬─────┘ + │ REST + Bearer token │ + ▼ │ +┌───────────────┐ JWT validation ──────┘ +│ AgentService │ ◄──── (jwks from Keycloak) +│ (Minimal API) │ +│ :5001 │ +└───────────────┘ +``` + +## Prerequisites + +- [Docker](https://docs.docker.com/get-docker/) and Docker Compose + +## Configuring Environment Variables + +The AgentService requires an OpenAI-compatible endpoint. Set these environment variables before running: + +```bash +export OPENAI_API_KEY="" +export OPENAI_MODEL="gpt-4.1-mini" +``` + +## Running the Sample + +### Option 1: Docker Compose (Recommended) + +```bash +cd dotnet/samples/05-end-to-end/AspNetAgentAuthorization +docker compose up +``` + +This starts Keycloak, the AgentService, and the WebClient. Wait for Keycloak to finish importing the realm (you'll see `Running the server` in the logs). + +#### Running in GitHub Codespaces + +This sample has been built in such a way that it can be run from GitHub Codespaces. +The Agent Framework repository has a C# specific dev container, named "C# (.NET)", that is configured for Codespaces. + +When running in Codespaces, the sample auto-detects the environment via +`CODESPACE_NAME` and `GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN` and configures +Keycloak and the web client accordingly. Just make the required ports public: + +```bash +# Make Keycloak and WebClient ports publicly accessible +gh codespace ports visibility 5002:public 8080:public -c $CODESPACE_NAME + +# Start the containers (Codespaces is auto-detected) +docker compose up +``` + +Then open the Codespaces-forwarded URL for port 8080 (shown in the **Ports** tab) in your browser. + +### Option 2: Run Locally + +1. Start Keycloak: + ```bash + docker compose up keycloak + ``` + +2. In a new terminal, start the AgentService: + ```bash + cd Service + dotnet run --urls "http://localhost:5001" + ``` + +3. In another terminal, start the WebClient: + ```bash + cd RazorWebClient + dotnet run --urls "http://localhost:8080" + ``` + +## Using the Sample + +1. Open `http://localhost:8080` in your browser +2. Click **Login** — you'll be redirected to Keycloak +3. Sign in with one of the pre-configured users: + - **`testuser` / `password`** — can chat, view expenses, and approve expenses (up to €1,000) + - **`viewer` / `password`** — can chat and view expenses, but **cannot approve** them +4. Try asking the agent: + - _"Show me the pending expenses"_ — both users can do this + - _"Approve expense #1"_ — only `testuser` can do this; `viewer` will be denied + - _"Approve expense #3"_ — even `testuser` will be denied (€4,500 exceeds the €1,000 limit) + +## Pre-Configured Keycloak Realm + +The `keycloak/dev-realm.json` file auto-provisions: + +| Resource | Details | +|----------|---------| +| **Realm** | `dev` | +| **Client: agent-service** | Confidential client (the API audience) | +| **Client: web-client** | Public client for the Razor app's OIDC login | +| **Scope: agent.chat** | Required to call the `/chat` endpoint | +| **Scope: expenses.view** | Required to list pending expenses | +| **Scope: expenses.approve** | Required to approve expenses | +| **User: testuser** | Has `agent.chat`, `expenses.view`, and `expenses.approve` scopes | +| **User: viewer** | Has `agent.chat` and `expenses.view` scopes (no approval) | + +### Pre-Seeded Expenses + +The service starts with five demo expenses: + +| # | Description | Amount | Status | +|---|-------------|--------|--------| +| 1 | Conference travel — Berlin | €850 | Pending | +| 2 | Team dinner — Q4 celebration | €320 | Pending | +| 3 | Cloud infrastructure — annual renewal | €4,500 | Pending (over limit) | +| 4 | Office supplies — ergonomic keyboards | €675 | Pending | +| 5 | Client gift baskets — holiday season | €980 | Pending | + +Keycloak admin console: `http://localhost:5002` (login: `admin` / `admin`). + +## API Endpoints + +### POST /chat (requires `agent.chat` scope) + +```bash +# Get a token for testuser +TOKEN=$(curl -s -X POST http://localhost:5002/realms/dev/protocol/openid-connect/token \ + -d "grant_type=password&client_id=web-client&username=testuser&password=password&scope=openid agent.chat expenses.view expenses.approve" \ + | jq -r '.access_token') + +# Chat with the agent +curl -X POST http://localhost:5001/chat \ + -H "Authorization: Bearer $TOKEN" \ + -H "Content-Type: application/json" \ + -d '{"message": "Show me the pending expenses"}' +``` + +## Key Concepts Demonstrated + +- **Endpoint-Level Authorization** — The `/chat` endpoint requires the `agent.chat` scope, gating access to the agent itself +- **Tool-Level Authorization** — Each agent tool checks its own scope (`expenses.view`, `expenses.approve`) at runtime, so different users have different capabilities within the same chat session +- **Scope-Based Role Mapping** — Keycloak realm roles map to OAuth scopes, allowing administrators to control which users can access which agent capabilities diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Dockerfile b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Dockerfile new file mode 100644 index 0000000000..8e15ba2425 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Dockerfile @@ -0,0 +1,29 @@ +FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build +WORKDIR /repo + +# Copy solution-level files for restore +COPY Directory.Build.props Directory.Build.targets Directory.Packages.props global.json nuget.config ./ +COPY eng/ eng/ +COPY src/Shared/ src/Shared/ +COPY samples/Directory.Build.props samples/ + +# Create sentinel file so $(RepoRoot) resolves correctly inside the container. +# RepoRoot is the parent of the dir containing CODE_OF_CONDUCT.md, +# and src projects import $(RepoRoot)/dotnet/nuget/nuget-package.props. +RUN touch /CODE_OF_CONDUCT.md + +# Copy project file for restore +COPY samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/ + +RUN dotnet restore samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj -p:TargetFramework=net10.0 -p:TreatWarningsAsErrors=false + +# Copy everything and build +COPY samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/ samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/ +RUN dotnet publish samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj -c Release -f net10.0 -o /app -p:TreatWarningsAsErrors=false + +FROM mcr.microsoft.com/dotnet/aspnet:10.0 +WORKDIR /app +COPY --from=build /app . +ENV ASPNETCORE_URLS=http://+:8080 +EXPOSE 8080 +ENTRYPOINT ["dotnet", "RazorWebClient.dll"] diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Chat.cshtml b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Chat.cshtml new file mode 100644 index 0000000000..edccf4c34e --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Chat.cshtml @@ -0,0 +1,35 @@ +@page +@using Microsoft.AspNetCore.Authorization +@attribute [Authorize] +@model AspNetAgentAuthorization.RazorWebClient.Pages.ChatModel +@{ + Layout = "_Layout"; +} + +

Chat with the Agent

+ +
+
+ + +
+
+ +@if (Model.Error is not null) +{ +
+ Error: @Model.Error +
+} + +@if (Model.Reply is not null) +{ +
+
Agent (responding to @Model.ReplyUser):
+
@Model.Reply
+
+} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Chat.cshtml.cs b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Chat.cshtml.cs new file mode 100644 index 0000000000..5326e7ae9d --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Chat.cshtml.cs @@ -0,0 +1,79 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Net.Http.Headers; +using System.Text; +using System.Text.Json; +using Microsoft.AspNetCore.Authentication; +using Microsoft.AspNetCore.Mvc; +using Microsoft.AspNetCore.Mvc.RazorPages; + +namespace AspNetAgentAuthorization.RazorWebClient.Pages; + +public class ChatModel : PageModel +{ + private readonly IHttpClientFactory _httpClientFactory; + + public ChatModel(IHttpClientFactory httpClientFactory) + { + this._httpClientFactory = httpClientFactory; + } + + [BindProperty] + public string? Message { get; set; } + + public string? Reply { get; set; } + public string? ReplyUser { get; set; } + public string? Error { get; set; } + + public void OnGet() + { + } + + public async Task OnPostAsync() + { + if (string.IsNullOrWhiteSpace(this.Message)) + { + return; + } + + try + { + // Get the access token stored during OIDC login + string? accessToken = await this.HttpContext.GetTokenAsync("access_token"); + if (accessToken is null) + { + this.Error = "No access token available. Please log in again."; + return; + } + + // Call the AgentService with the Bearer token + var client = this._httpClientFactory.CreateClient("AgentService"); + client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", accessToken); + + var payload = JsonSerializer.Serialize(new { message = this.Message }); + var content = new StringContent(payload, Encoding.UTF8, "application/json"); + + var response = await client.PostAsync(new Uri("/chat", UriKind.Relative), content); + + if (response.IsSuccessStatusCode) + { + using var json = await JsonDocument.ParseAsync(await response.Content.ReadAsStreamAsync()); + this.Reply = json.RootElement.GetProperty("reply").GetString(); + this.ReplyUser = json.RootElement.GetProperty("user").GetString(); + } + else + { + this.Error = response.StatusCode switch + { + System.Net.HttpStatusCode.Unauthorized => "Authentication failed (401). Your session may have expired.", + System.Net.HttpStatusCode.Forbidden => "Access denied (403). Your account does not have the required 'agent.chat' scope.", + _ => $"AgentService returned {(int)response.StatusCode} {response.ReasonPhrase}." + }; + } + } + catch (Exception ex) + { + this.Error = $"Failed to contact the AgentService: {ex.Message}"; + } + } +} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Index.cshtml b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Index.cshtml new file mode 100644 index 0000000000..ab1d7cb1dc --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Index.cshtml @@ -0,0 +1,18 @@ +@page +@model AspNetAgentAuthorization.RazorWebClient.Pages.IndexModel +@{ + Layout = "_Layout"; +} + +

Welcome

+

This sample demonstrates securing an AI agent API with OAuth 2.0 / OpenID Connect.

+ +@if (User.Identity?.IsAuthenticated == true) +{ +

You are logged in as @User.Identity.Name.

+

Go to Chat →

+} +else +{ +

Please log in to chat with the agent.

+} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Index.cshtml.cs b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Index.cshtml.cs new file mode 100644 index 0000000000..2547fb6fce --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Index.cshtml.cs @@ -0,0 +1,24 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.AspNetCore.Authentication; +using Microsoft.AspNetCore.Authentication.Cookies; +using Microsoft.AspNetCore.Authentication.OpenIdConnect; +using Microsoft.AspNetCore.Mvc; +using Microsoft.AspNetCore.Mvc.RazorPages; + +namespace AspNetAgentAuthorization.RazorWebClient.Pages; + +public class IndexModel : PageModel +{ + public void OnGet() + { + } + + public IActionResult OnGetLogout() + { + return this.SignOut( + new AuthenticationProperties { RedirectUri = "/" }, + CookieAuthenticationDefaults.AuthenticationScheme, + OpenIdConnectDefaults.AuthenticationScheme); + } +} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Shared/_Layout.cshtml b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Shared/_Layout.cshtml new file mode 100644 index 0000000000..c44e993624 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/Shared/_Layout.cshtml @@ -0,0 +1,35 @@ + + + + + + Auth Agent Chat + + + + +
+ @RenderBody() +
+ + diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/_ViewImports.cshtml b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/_ViewImports.cshtml new file mode 100644 index 0000000000..71c71463de --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Pages/_ViewImports.cshtml @@ -0,0 +1,3 @@ +@using Microsoft.AspNetCore.Authentication +@namespace AspNetAgentAuthorization.RazorWebClient.Pages +@addTagHelper *, Microsoft.AspNetCore.Mvc.TagHelpers diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Program.cs b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Program.cs new file mode 100644 index 0000000000..67fb3063e6 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Program.cs @@ -0,0 +1,142 @@ +// Copyright (c) Microsoft. All rights reserved. + +// This sample demonstrates an OIDC-authenticated Razor Pages web client +// that calls a JWT-secured AI agent REST API. + +using Microsoft.AspNetCore.Authentication.Cookies; +using Microsoft.AspNetCore.Authentication.OpenIdConnect; +using Microsoft.AspNetCore.DataProtection; +using Microsoft.IdentityModel.Protocols.OpenIdConnect; + +WebApplicationBuilder builder = WebApplication.CreateBuilder(args); + +builder.Services.AddRazorPages(); + +// Persist data protection keys so antiforgery tokens survive container rebuilds +builder.Services.AddDataProtection() + .PersistKeysToFileSystem(new DirectoryInfo("/app/keys")); + +// --------------------------------------------------------------------------- +// Authentication: Cookie + OpenID Connect (Keycloak) +// --------------------------------------------------------------------------- +string authority = builder.Configuration["Auth:Authority"] + ?? throw new InvalidOperationException("Auth:Authority is not configured."); + +// PublicKeycloakUrl is the browser-facing Keycloak base URL. When the +// web-client runs inside Docker, Authority points to the internal hostname +// (e.g. http://keycloak:8080) for backchannel discovery, while +// PublicKeycloakUrl is what the browser can reach (e.g. http://localhost:5002). +// When running outside Docker, Authority already IS the public URL and +// PublicKeycloakUrl is not needed. +string? publicKeycloakUrl = builder.Configuration["Auth:PublicKeycloakUrl"]; + +// In Codespaces, override the public URLs with the tunnel endpoints. +string? codespaceName = Environment.GetEnvironmentVariable("CODESPACE_NAME"); +string? codespaceDomain = Environment.GetEnvironmentVariable("GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN"); +bool isCodespaces = !string.IsNullOrEmpty(codespaceName) && !string.IsNullOrEmpty(codespaceDomain); +if (isCodespaces) +{ + publicKeycloakUrl = $"https://{codespaceName}-5002.{codespaceDomain}"; +} + +// Derive the internal base URL from Authority for URL rewriting. +string internalKeycloakBase = new Uri(authority).GetLeftPart(UriPartial.Authority); + +builder.Services + .AddAuthentication(options => + { + options.DefaultScheme = CookieAuthenticationDefaults.AuthenticationScheme; + options.DefaultChallengeScheme = OpenIdConnectDefaults.AuthenticationScheme; + }) + .AddCookie() + .AddOpenIdConnect(options => + { + options.Authority = authority; + options.ClientId = builder.Configuration["Auth:ClientId"] + ?? throw new InvalidOperationException("Auth:ClientId is not configured."); + + options.ResponseType = OpenIdConnectResponseType.Code; + options.SaveTokens = true; + options.GetClaimsFromUserInfoEndpoint = true; + + // Request scopes so the access token includes them + options.Scope.Clear(); + options.Scope.Add("openid"); + options.Scope.Add("profile"); + options.Scope.Add("email"); + options.Scope.Add("agent.chat"); + options.Scope.Add("expenses.view"); + options.Scope.Add("expenses.approve"); + + // For local development with HTTP-only Keycloak + options.RequireHttpsMetadata = !builder.Environment.IsDevelopment(); + + // When the web-client is inside Docker, the backchannel Authority uses + // an internal hostname that differs from the browser-facing URL. + // Rewrite the authorization/logout endpoints so the browser is + // redirected to the public Keycloak URL, and disable issuer validation + // because the token issuer (public URL) won't match the discovery + // document issuer (internal URL). + if (publicKeycloakUrl is not null) + { +#pragma warning disable CA5404 // Token issuer validation disabled: backchannel uses internal Docker hostname while tokens are issued via the public URL. + options.TokenValidationParameters.ValidateIssuer = false; +#pragma warning restore CA5404 + + // The UserInfo endpoint is on the internal URL but the token + // issuer is the public URL — Keycloak rejects the mismatch. + // The ID token already contains all needed claims. + options.GetClaimsFromUserInfoEndpoint = false; + + // In Codespaces the tunnel delivers with Host: localhost, so the + // auto-generated redirect_uri is wrong. Override it explicitly. + string? publicWebClientBase = isCodespaces + ? $"https://{codespaceName}-8080.{codespaceDomain}" + : null; + + options.Events = new OpenIdConnectEvents + { + OnRedirectToIdentityProvider = context => + { + context.ProtocolMessage.IssuerAddress = context.ProtocolMessage.IssuerAddress + .Replace(internalKeycloakBase, publicKeycloakUrl); + if (publicWebClientBase is not null) + { + context.ProtocolMessage.RedirectUri = $"{publicWebClientBase}/signin-oidc"; + } + + return Task.CompletedTask; + }, + OnRedirectToIdentityProviderForSignOut = context => + { + context.ProtocolMessage.IssuerAddress = context.ProtocolMessage.IssuerAddress + .Replace(internalKeycloakBase, publicKeycloakUrl); + if (publicWebClientBase is not null) + { + context.ProtocolMessage.PostLogoutRedirectUri = $"{publicWebClientBase}/signout-callback-oidc"; + } + + return Task.CompletedTask; + }, + }; + } + }); + +// --------------------------------------------------------------------------- +// HttpClient for calling the AgentService — attaches Bearer token +// --------------------------------------------------------------------------- +builder.Services.AddHttpClient("AgentService", client => +{ + string baseUrl = builder.Configuration["AgentService:BaseUrl"] ?? "http://localhost:5001"; + client.BaseAddress = new Uri(baseUrl); +}); + +WebApplication app = builder.Build(); + +app.UseStaticFiles(); +app.UseRouting(); +app.UseAuthentication(); +app.UseAuthorization(); +app.MapRazorPages(); + +await app.RunAsync(); diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Properties/launchSettings.json b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Properties/launchSettings.json new file mode 100644 index 0000000000..28c3cf0be6 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Properties/launchSettings.json @@ -0,0 +1,12 @@ +{ + "profiles": { + "RazorWebClient": { + "commandName": "Project", + "launchBrowser": true, + "environmentVariables": { + "ASPNETCORE_ENVIRONMENT": "Development" + }, + "applicationUrl": "https://localhost:58080;http://localhost:8080" + } + } +} \ No newline at end of file diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj new file mode 100644 index 0000000000..d1c7fec19a --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/RazorWebClient.csproj @@ -0,0 +1,15 @@ + + + + Exe + net10.0 + enable + enable + $(NoWarn);CS1591 + + + + + + + diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/appsettings.json b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/appsettings.json new file mode 100644 index 0000000000..5372dad530 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/appsettings.json @@ -0,0 +1,15 @@ +{ + "Logging": { + "LogLevel": { + "Default": "Information", + "Microsoft.AspNetCore": "Warning" + } + }, + "Auth": { + "Authority": "http://localhost:5002/realms/dev", + "ClientId": "web-client" + }, + "AgentService": { + "BaseUrl": "http://localhost:5001" + } +} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Dockerfile b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Dockerfile new file mode 100644 index 0000000000..69517af95d --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Dockerfile @@ -0,0 +1,34 @@ +FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build +WORKDIR /repo + +# Copy solution-level files for restore +COPY Directory.Build.props Directory.Build.targets Directory.Packages.props global.json nuget.config ./ +COPY eng/ eng/ +COPY nuget/ nuget/ +COPY src/Shared/ src/Shared/ +COPY samples/Directory.Build.props samples/ + +# Create sentinel file so $(RepoRoot) resolves correctly inside the container. +# RepoRoot is the parent of the dir containing CODE_OF_CONDUCT.md, +# and src projects import $(RepoRoot)/dotnet/nuget/nuget-package.props. +RUN touch /CODE_OF_CONDUCT.md && mkdir -p /dotnet/nuget && cp /repo/nuget/* /dotnet/nuget/ + +# Copy project files for restore +COPY src/Microsoft.Agents.AI.Abstractions/Microsoft.Agents.AI.Abstractions.csproj src/Microsoft.Agents.AI.Abstractions/ +COPY src/Microsoft.Agents.AI/Microsoft.Agents.AI.csproj src/Microsoft.Agents.AI/ +COPY src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj src/Microsoft.Agents.AI.OpenAI/ +COPY samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj samples/05-end-to-end/AspNetAgentAuthorization/Service/ + +RUN dotnet restore samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj -p:TargetFramework=net10.0 -p:TreatWarningsAsErrors=false + +# Copy everything and build +COPY src/ src/ +COPY samples/05-end-to-end/AspNetAgentAuthorization/Service/ samples/05-end-to-end/AspNetAgentAuthorization/Service/ +RUN dotnet publish samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj -c Release -f net10.0 -o /app -p:TreatWarningsAsErrors=false + +FROM mcr.microsoft.com/dotnet/aspnet:10.0 +WORKDIR /app +COPY --from=build /app . +ENV ASPNETCORE_URLS=http://+:5001 +EXPOSE 5001 +ENTRYPOINT ["dotnet", "Service.dll"] diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/ExpenseService.cs b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/ExpenseService.cs new file mode 100644 index 0000000000..d02ab8d409 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/ExpenseService.cs @@ -0,0 +1,110 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Collections.Concurrent; +using System.ComponentModel; + +namespace AspNetAgentAuthorization.Service; + +/// +/// Represents an expense awaiting approval. +/// +public sealed class Expense +{ + public int Id { get; init; } + + public string Description { get; init; } = string.Empty; + + public decimal Amount { get; init; } + + public string Submitter { get; init; } = string.Empty; + + public string Status { get; set; } = "Pending"; + + public string? ApprovedBy { get; set; } +} + +/// +/// Manages expense approvals. Pre-seeded with demo data so there are +/// expenses to review immediately. Uses to +/// identify the caller and enforce scope-based permissions. +/// +public sealed class ExpenseService +{ + /// Maximum amount (EUR) that can be approved. + private const decimal ApprovalLimit = 1000m; + + private static readonly ConcurrentDictionary s_expenses = new( + new Dictionary + { + [1] = new() { Id = 1, Description = "Conference travel — Berlin", Amount = 850m, Submitter = "Alice" }, + [2] = new() { Id = 2, Description = "Team dinner — Q4 celebration", Amount = 320m, Submitter = "Bob" }, + [3] = new() { Id = 3, Description = "Cloud infrastructure — annual renewal", Amount = 4500m, Submitter = "Carol" }, + [4] = new() { Id = 4, Description = "Office supplies — ergonomic keyboards", Amount = 675m, Submitter = "Dave" }, + [5] = new() { Id = 5, Description = "Client gift baskets — holiday season", Amount = 980m, Submitter = "Eve" }, + }); + + private readonly IUserContext _userContext; + + public ExpenseService(IUserContext userContext) + { + this._userContext = userContext; + } + + /// + /// Lists all pending expenses awaiting approval. + /// + [Description("Lists all pending expenses awaiting approval. Requires the expenses.view scope.")] + public string ListPendingExpenses() + { + if (!this._userContext.Scopes.Contains("expenses.view")) + { + return "Access denied. You do not have the expenses.view scope."; + } + + var pending = s_expenses.Values + .Where(e => e.Status == "Pending") + .OrderBy(e => e.Id) + .ToList(); + + if (pending.Count == 0) + { + return "No pending expenses."; + } + + return string.Join("\n", pending.Select(e => + $"#{e.Id}: {e.Description} — €{e.Amount:N2} (submitted by {e.Submitter})")); + } + + /// + /// Approves a pending expense by its ID. + /// + [Description("Approves a pending expense by its ID. Requires the expenses.approve scope.")] + public string ApproveExpense([Description("The ID of the expense to approve")] int expenseId) + { + if (!this._userContext.Scopes.Contains("expenses.approve")) + { + return "Access denied. You do not have the expenses.approve scope."; + } + + if (!s_expenses.TryGetValue(expenseId, out var expense)) + { + return $"Expense #{expenseId} not found."; + } + + if (expense.Status != "Pending") + { + return $"Expense #{expenseId} has already been approved."; + } + + if (expense.Amount > ApprovalLimit) + { + return $"Cannot approve expense #{expenseId} (€{expense.Amount:N2}). " + + $"Amount exceeds the €{ApprovalLimit:N2} approval limit."; + } + + expense.Status = "Approved"; + expense.ApprovedBy = this._userContext.DisplayName; + + return $"Expense #{expenseId} (\"{expense.Description}\", €{expense.Amount:N2}) has been approved."; + } +} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Program.cs b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Program.cs new file mode 100644 index 0000000000..b4a5d00a9a --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Program.cs @@ -0,0 +1,125 @@ +// Copyright (c) Microsoft. All rights reserved. + +// This sample demonstrates how to authorize AI agent tools using OAuth 2.0 +// scopes. The /chat endpoint requires the "agent.chat" scope, and each tool +// checks its own scope (expenses.view, expenses.approve) at runtime. + +using System.Security.Claims; +using System.Text.Json.Serialization; +using AspNetAgentAuthorization.Service; +using Microsoft.Agents.AI; +using Microsoft.AspNetCore.Authentication.JwtBearer; +using Microsoft.AspNetCore.Authorization; +using Microsoft.Extensions.AI; +using OpenAI; + +WebApplicationBuilder builder = WebApplication.CreateBuilder(args); + +// --------------------------------------------------------------------------- +// Authentication: JWT Bearer tokens validated against the OIDC provider +// --------------------------------------------------------------------------- +builder.Services + .AddAuthentication(JwtBearerDefaults.AuthenticationScheme) + .AddJwtBearer(options => + { + options.Authority = builder.Configuration["Auth:Authority"] + ?? throw new InvalidOperationException("Auth:Authority is not configured."); + options.Audience = builder.Configuration["Auth:Audience"] + ?? throw new InvalidOperationException("Auth:Audience is not configured."); + + // For local development with HTTP-only Keycloak + options.RequireHttpsMetadata = !builder.Environment.IsDevelopment(); + + options.TokenValidationParameters.ValidateAudience = true; + options.TokenValidationParameters.ValidateLifetime = true; + + // In Codespaces, tokens are issued with the public tunnel URL as + // issuer (Keycloak sees X-Forwarded-Host from the tunnel) but the + // agent-service discovers Keycloak via the internal Docker hostname. + // Disable issuer validation in development to handle this mismatch. + options.TokenValidationParameters.ValidateIssuer = !builder.Environment.IsDevelopment(); + }); + +// --------------------------------------------------------------------------- +// Authorization: policy requiring the "agent.chat" scope +// --------------------------------------------------------------------------- +builder.Services.AddAuthorizationBuilder() + .AddPolicy("AgentChat", policy => + policy.RequireAuthenticatedUser() + .RequireAssertion(context => + { + // Keycloak puts scopes in the "scope" claim (space-delimited) + var scopeClaim = context.User.FindFirstValue("scope"); + if (scopeClaim is not null) + { + var scopes = scopeClaim.Split(' ', StringSplitOptions.RemoveEmptyEntries); + if (scopes.Contains("agent.chat", StringComparer.OrdinalIgnoreCase)) + { + return true; + } + } + + return false; + })); + +// --------------------------------------------------------------------------- +// Configure JSON serialization +// --------------------------------------------------------------------------- +builder.Services.ConfigureHttpJsonOptions(options => + options.SerializerOptions.TypeInfoResolverChain.Add(SampleServiceSerializerContext.Default)); + +// --------------------------------------------------------------------------- +// Create the AI agent with expense approval tools, registered in DI +// --------------------------------------------------------------------------- +string apiKey = builder.Configuration["OPENAI_API_KEY"] + ?? throw new InvalidOperationException("Set the OPENAI_API_KEY environment variable."); +string model = builder.Configuration["OPENAI_MODEL"] ?? "gpt-4.1-mini"; + +builder.Services.AddHttpContextAccessor(); +builder.Services.AddScoped(); +builder.Services.AddScoped(); +builder.Services.AddScoped(sp => +{ + var expenseService = sp.GetRequiredService(); + + return new OpenAIClient(apiKey) + .GetChatClient(model) + .AsIChatClient() + .AsAIAgent( + name: "ExpenseApprovalAgent", + instructions: "You are an expense approval assistant. You can list pending expenses " + + "and approve them if the user has the required permissions and approval limit. " + + "Keep responses concise.", + tools: + [ + AIFunctionFactory.Create(expenseService.ListPendingExpenses), + AIFunctionFactory.Create(expenseService.ApproveExpense), + ]); +}); + +WebApplication app = builder.Build(); + +app.UseAuthentication(); +app.UseAuthorization(); + +// --------------------------------------------------------------------------- +// POST /chat — requires the "agent.chat" scope +// --------------------------------------------------------------------------- +app.MapPost("/chat", [Authorize(Policy = "AgentChat")] async (ChatRequest request, IUserContext userContext, AIAgent agent) => +{ + var response = await agent.RunAsync(request.Message); + + return Results.Ok(new ChatResponse(response.Text, userContext.DisplayName)); +}); + +await app.RunAsync(); + +// --------------------------------------------------------------------------- +// Request / Response models +// --------------------------------------------------------------------------- +internal sealed record ChatRequest(string Message); +internal sealed record ChatResponse(string Reply, string User); + +[JsonSerializable(typeof(ChatRequest))] +[JsonSerializable(typeof(ChatResponse))] +internal sealed partial class SampleServiceSerializerContext : JsonSerializerContext; diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Properties/launchSettings.json b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Properties/launchSettings.json new file mode 100644 index 0000000000..6366505896 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Properties/launchSettings.json @@ -0,0 +1,12 @@ +{ + "profiles": { + "Service": { + "commandName": "Project", + "launchBrowser": true, + "environmentVariables": { + "ASPNETCORE_ENVIRONMENT": "Development" + }, + "applicationUrl": "https://localhost:55001;http://localhost:5001" + } + } +} \ No newline at end of file diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj new file mode 100644 index 0000000000..40b91fcd86 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Service.csproj @@ -0,0 +1,20 @@ + + + + Exe + net10.0 + enable + enable + $(NoWarn);CS1591 + + + + + + + + + + + + diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/UserContext.cs b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/UserContext.cs new file mode 100644 index 0000000000..34f4fe8956 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/UserContext.cs @@ -0,0 +1,69 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Security.Claims; + +namespace AspNetAgentAuthorization.Service; + +/// +/// Provides the authenticated user's identity for the current request. +/// +public interface IUserContext +{ + /// Unique identifier for the current user (e.g. the OIDC "sub" claim). + string UserId { get; } + + /// Login name for the current user. + string UserName { get; } + + /// Human-readable display name (e.g. "Test User"). + string DisplayName { get; } + + /// OAuth scopes granted in the current access token. + IReadOnlySet Scopes { get; } +} + +/// +/// Resolves the current user's identity from Keycloak-specific JWT claims. +/// Keycloak uses sub for the user ID, preferred_username +/// for the login name, given_name/family_name for the +/// display name, and scope (space-delimited) for granted scopes. +/// Registered as a scoped service so it is resolved once per request. +/// +public sealed class KeycloakUserContext : IUserContext +{ + public string UserId { get; } + + public string UserName { get; } + + public string DisplayName { get; } + + public IReadOnlySet Scopes { get; } + + public KeycloakUserContext(IHttpContextAccessor httpContextAccessor) + { + ClaimsPrincipal? user = httpContextAccessor.HttpContext?.User; + + this.UserId = user?.FindFirstValue(ClaimTypes.NameIdentifier) + ?? user?.FindFirstValue("sub") + ?? "anonymous"; + + this.UserName = user?.FindFirstValue("preferred_username") + ?? user?.FindFirstValue(ClaimTypes.Name) + ?? "unknown"; + + string? givenName = user?.FindFirstValue("given_name") ?? user?.FindFirstValue(ClaimTypes.GivenName); + string? familyName = user?.FindFirstValue("family_name") ?? user?.FindFirstValue(ClaimTypes.Surname); + this.DisplayName = (givenName, familyName) switch + { + (not null, not null) => $"{givenName} {familyName}", + (not null, null) => givenName, + (null, not null) => familyName, + _ => this.UserName, + }; + + string? scopeClaim = user?.FindFirstValue("scope"); + this.Scopes = scopeClaim is not null + ? new HashSet(scopeClaim.Split(' ', StringSplitOptions.RemoveEmptyEntries), StringComparer.OrdinalIgnoreCase) + : new HashSet(StringComparer.OrdinalIgnoreCase); + } +} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/appsettings.json b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/appsettings.json new file mode 100644 index 0000000000..c5275372ad --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/appsettings.json @@ -0,0 +1,12 @@ +{ + "Logging": { + "LogLevel": { + "Default": "Information", + "Microsoft.AspNetCore": "Warning" + } + }, + "Auth": { + "Authority": "http://localhost:5002/realms/dev", + "Audience": "agent-service" + } +} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/docker-compose.yml b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/docker-compose.yml new file mode 100644 index 0000000000..eb9e356e72 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/docker-compose.yml @@ -0,0 +1,80 @@ +services: + keycloak: + image: quay.io/keycloak/keycloak:latest + container_name: auth-keycloak + environment: + - KC_BOOTSTRAP_ADMIN_USERNAME=admin + - KC_BOOTSTRAP_ADMIN_PASSWORD=admin + - KC_HOSTNAME_STRICT=false + - KC_PROXY_HEADERS=xforwarded + volumes: + - ./keycloak/dev-realm.json:/opt/keycloak/data/import/dev-realm.json + command: ["start-dev", "--import-realm"] + ports: + - "5002:8080" + healthcheck: + test: ["CMD-SHELL", "exec 3<>/dev/tcp/localhost/8080 && echo -e 'GET /realms/master HTTP/1.1\\r\\nHost: localhost\\r\\nConnection: close\\r\\n\\r\\n' >&3 && cat <&3 | grep -q '200'"] + interval: 10s + timeout: 5s + retries: 30 + start_period: 30s + + # One-shot init container that registers the Codespaces redirect URI + # with Keycloak after it becomes healthy. Auto-detects Codespaces via + # CODESPACE_NAME and GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN env vars. + keycloak-init: + image: curlimages/curl:latest + container_name: auth-keycloak-init + environment: + - KEYCLOAK_URL=http://keycloak:8080 + - CODESPACE_NAME=${CODESPACE_NAME:-} + - GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN=${GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN:-} + volumes: + - ./keycloak/setup-redirect-uris.sh:/setup-redirect-uris.sh:ro + entrypoint: ["sh", "/setup-redirect-uris.sh"] + depends_on: + keycloak: + condition: service_healthy + + agent-service: + build: + context: ../../.. + dockerfile: samples/05-end-to-end/AspNetAgentAuthorization/Service/Dockerfile + container_name: auth-agent-service + environment: + - ASPNETCORE_ENVIRONMENT=Development + - Auth__Authority=http://keycloak:8080/realms/dev + - Auth__Audience=agent-service + - OPENAI_API_KEY=${OPENAI_API_KEY} + - OPENAI_MODEL=${OPENAI_MODEL:-gpt-4.1-mini} + ports: + - "5001:5001" + depends_on: + keycloak: + condition: service_healthy + + web-client: + build: + context: ../../.. + dockerfile: samples/05-end-to-end/AspNetAgentAuthorization/RazorWebClient/Dockerfile + container_name: auth-web-client + environment: + - ASPNETCORE_ENVIRONMENT=Development + - Auth__Authority=http://keycloak:8080/realms/dev + - Auth__PublicKeycloakUrl=http://localhost:5002 + - Auth__ClientId=web-client + - AgentService__BaseUrl=http://agent-service:5001 + - CODESPACE_NAME=${CODESPACE_NAME:-} + - GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN=${GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN:-} + ports: + - "8080:8080" + volumes: + - web-client-keys:/app/keys + depends_on: + keycloak: + condition: service_healthy + agent-service: + condition: service_started + +volumes: + web-client-keys: diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/keycloak/dev-realm.json b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/keycloak/dev-realm.json new file mode 100644 index 0000000000..41e8ce3038 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/keycloak/dev-realm.json @@ -0,0 +1,232 @@ +{ + "realm": "dev", + "enabled": true, + "sslRequired": "none", + "registrationAllowed": false, + "roles": { + "realm": [ + { + "name": "agent-chat-user", + "description": "Grants access to the agent.chat scope" + }, + { + "name": "expenses-viewer", + "description": "Grants access to the expenses.view scope" + }, + { + "name": "expenses-approver", + "description": "Grants access to the expenses.approve scope" + } + ] + }, + "scopeMappings": [ + { + "clientScope": "agent.chat", + "roles": ["agent-chat-user"] + }, + { + "clientScope": "expenses.view", + "roles": ["expenses-viewer"] + }, + { + "clientScope": "expenses.approve", + "roles": ["expenses-approver"] + } + ], + "clientScopes": [ + { + "name": "openid", + "description": "OpenID Connect scope", + "protocol": "openid-connect", + "attributes": { + "include.in.token.scope": "true" + }, + "protocolMappers": [ + { + "name": "sub", + "protocol": "openid-connect", + "protocolMapper": "oidc-sub-mapper", + "config": { + "introspection.token.claim": "true", + "access.token.claim": "true" + } + } + ] + }, + { + "name": "profile", + "description": "OpenID Connect profile scope", + "protocol": "openid-connect", + "attributes": { + "include.in.token.scope": "true" + }, + "protocolMappers": [ + { + "name": "preferred_username", + "protocol": "openid-connect", + "protocolMapper": "oidc-usermodel-attribute-mapper", + "config": { + "user.attribute": "username", + "claim.name": "preferred_username", + "jsonType.label": "String", + "id.token.claim": "true", + "access.token.claim": "true", + "userinfo.token.claim": "true" + } + }, + { + "name": "given_name", + "protocol": "openid-connect", + "protocolMapper": "oidc-usermodel-attribute-mapper", + "config": { + "user.attribute": "firstName", + "claim.name": "given_name", + "jsonType.label": "String", + "id.token.claim": "true", + "access.token.claim": "true", + "userinfo.token.claim": "true" + } + }, + { + "name": "family_name", + "protocol": "openid-connect", + "protocolMapper": "oidc-usermodel-attribute-mapper", + "config": { + "user.attribute": "lastName", + "claim.name": "family_name", + "jsonType.label": "String", + "id.token.claim": "true", + "access.token.claim": "true", + "userinfo.token.claim": "true" + } + } + ] + }, + { + "name": "email", + "description": "OpenID Connect email scope", + "protocol": "openid-connect", + "attributes": { + "include.in.token.scope": "true" + } + }, + { + "name": "agent.chat", + "description": "Allows chatting with the agent", + "protocol": "openid-connect", + "attributes": { + "include.in.token.scope": "true", + "display.on.consent.screen": "true" + } + }, + { + "name": "expenses.view", + "description": "Allows viewing pending expenses", + "protocol": "openid-connect", + "attributes": { + "include.in.token.scope": "true", + "display.on.consent.screen": "true" + } + }, + { + "name": "expenses.approve", + "description": "Allows approving pending expenses", + "protocol": "openid-connect", + "attributes": { + "include.in.token.scope": "true", + "display.on.consent.screen": "true" + } + }, + { + "name": "agent-service-audience", + "description": "Adds the agent-service audience to access tokens", + "protocol": "openid-connect", + "attributes": { + "include.in.token.scope": "false", + "display.on.consent.screen": "false" + }, + "protocolMappers": [ + { + "name": "agent-service-audience-mapper", + "protocol": "openid-connect", + "protocolMapper": "oidc-audience-mapper", + "config": { + "included.client.audience": "agent-service", + "id.token.claim": "false", + "access.token.claim": "true" + } + } + ] + } + ], + "clients": [ + { + "clientId": "agent-service", + "enabled": true, + "publicClient": false, + "secret": "agent-service-secret", + "directAccessGrantsEnabled": true, + "serviceAccountsEnabled": false, + "standardFlowEnabled": false, + "protocol": "openid-connect" + }, + { + "clientId": "web-client", + "enabled": true, + "publicClient": true, + "directAccessGrantsEnabled": true, + "standardFlowEnabled": true, + "fullScopeAllowed": false, + "protocol": "openid-connect", + "redirectUris": [ + "http://localhost:8080/*" + ], + "webOrigins": [ + "http://localhost:8080" + ], + "defaultClientScopes": [ + "openid", + "profile", + "email", + "agent-service-audience" + ], + "optionalClientScopes": [ + "agent.chat", + "expenses.view", + "expenses.approve" + ] + } + ], + "users": [ + { + "username": "testuser", + "enabled": true, + "email": "testuser@example.com", + "firstName": "Test", + "lastName": "User", + "realmRoles": ["agent-chat-user", "expenses-viewer", "expenses-approver"], + "credentials": [ + { + "type": "password", + "value": "password", + "temporary": false + } + ] + }, + { + "username": "viewer", + "enabled": true, + "email": "viewer@example.com", + "firstName": "View", + "lastName": "Only", + "realmRoles": ["agent-chat-user", "expenses-viewer"], + "credentials": [ + { + "type": "password", + "value": "password", + "temporary": false + } + ] + } + ] +} diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/keycloak/setup-redirect-uris.sh b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/keycloak/setup-redirect-uris.sh new file mode 100755 index 0000000000..b49cfc4e80 --- /dev/null +++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/keycloak/setup-redirect-uris.sh @@ -0,0 +1,50 @@ +#!/bin/bash +# Adds an extra redirect URI to the Keycloak web-client configuration. +# Auto-detects GitHub Codespaces via CODESPACE_NAME and +# GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN environment variables. + +set -e + +KEYCLOAK_URL="${KEYCLOAK_URL:-http://keycloak:8080}" + +# Auto-detect Codespaces +if [ -n "$CODESPACE_NAME" ] && [ -n "$GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN" ]; then + WEBCLIENT_PUBLIC_URL="https://${CODESPACE_NAME}-8080.${GITHUB_CODESPACES_PORT_FORWARDING_DOMAIN}" +fi + +if [ -z "$WEBCLIENT_PUBLIC_URL" ]; then + echo "Not running in Codespaces — skipping redirect URI setup." + exit 0 +fi + +echo "Configuring Keycloak redirect URIs for: $WEBCLIENT_PUBLIC_URL" + +# Get admin token +TOKEN=$(curl -sf -X POST "$KEYCLOAK_URL/realms/master/protocol/openid-connect/token" \ + -d "grant_type=password&client_id=admin-cli&username=admin&password=admin" \ + | sed -n 's/.*"access_token":"\([^"]*\)".*/\1/p') + +if [ -z "$TOKEN" ]; then + echo "ERROR: Failed to get admin token" >&2 + exit 1 +fi + +# Get web-client UUID +CLIENT_UUID=$(curl -sf "$KEYCLOAK_URL/admin/realms/dev/clients?clientId=web-client" \ + -H "Authorization: Bearer $TOKEN" \ + | sed -n 's/.*"id":"\([^"]*\)".*/\1/p') + +if [ -z "$CLIENT_UUID" ]; then + echo "ERROR: Failed to find web-client UUID" >&2 + exit 1 +fi +# Update redirect URIs and web origins +curl -sf -X PUT "$KEYCLOAK_URL/admin/realms/dev/clients/$CLIENT_UUID" \ + -H "Authorization: Bearer $TOKEN" \ + -H "Content-Type: application/json" \ + -d "{ + \"redirectUris\": [\"http://localhost:8080/*\", \"${WEBCLIENT_PUBLIC_URL}/*\"], + \"webOrigins\": [\"http://localhost:8080\", \"${WEBCLIENT_PUBLIC_URL}\"] + }" + +echo "Keycloak redirect URIs updated successfully." From d932947ba5a692a34643e67acfacd7d63601e637 Mon Sep 17 00:00:00 2001 From: Peter Ibekwe <109177538+peibekwe@users.noreply.github.com> Date: Mon, 2 Mar 2026 11:29:32 -0800 Subject: [PATCH 19/59] Add Name and Description support for GroupChat workflow builder (#4334) --- .../03_AgentWorkflowPatterns/Program.cs | 2 + .../GroupChatWorkflowBuilder.cs | 34 ++++++++++++++ .../AgentWorkflowBuilderTests.cs | 44 +++++++++++++++++++ 3 files changed, 80 insertions(+) diff --git a/dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/Program.cs b/dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/Program.cs index ae8208e964..a562226740 100644 --- a/dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/Program.cs +++ b/dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/Program.cs @@ -72,6 +72,8 @@ public static class Program await RunWorkflowAsync( AgentWorkflowBuilder.CreateGroupChatBuilderWith(agents => new RoundRobinGroupChatManager(agents) { MaximumIterationCount = 5 }) .AddParticipants(from lang in (string[])["French", "Spanish", "English"] select GetTranslationAgent(lang, client)) + .WithName("Translation Round Robin Workflow") + .WithDescription("A workflow where three translation agents take turns responding in a round-robin fashion.") .Build(), [new(ChatRole.User, "Hello, world!")]); break; diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/GroupChatWorkflowBuilder.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/GroupChatWorkflowBuilder.cs index 79a7b35498..66e4429e35 100644 --- a/dotnet/src/Microsoft.Agents.AI.Workflows/GroupChatWorkflowBuilder.cs +++ b/dotnet/src/Microsoft.Agents.AI.Workflows/GroupChatWorkflowBuilder.cs @@ -16,6 +16,8 @@ public sealed class GroupChatWorkflowBuilder { private readonly Func, GroupChatManager> _managerFactory; private readonly HashSet _participants = new(AIAgentIDEqualityComparer.Instance); + private string _name = string.Empty; + private string _description = string.Empty; internal GroupChatWorkflowBuilder(Func, GroupChatManager> managerFactory) => this._managerFactory = managerFactory; @@ -42,6 +44,28 @@ public sealed class GroupChatWorkflowBuilder return this; } + /// + /// Sets the human-readable name for the workflow. + /// + /// The name of the workflow. + /// This instance of the . + public GroupChatWorkflowBuilder WithName(string name) + { + this._name = name; + return this; + } + + /// + /// Sets the description for the workflow. + /// + /// The description of what the workflow does. + /// This instance of the . + public GroupChatWorkflowBuilder WithDescription(string description) + { + this._description = description; + return this; + } + /// /// Builds a composed of agents that operate via group chat, with the next /// agent to process messages selected by the group chat manager. @@ -65,6 +89,16 @@ public sealed class GroupChatWorkflowBuilder ExecutorBinding host = groupChatHostFactory.BindExecutor(nameof(GroupChatHost)); WorkflowBuilder builder = new(host); + if (!string.IsNullOrEmpty(this._name)) + { + builder = builder.WithName(this._name); + } + + if (!string.IsNullOrEmpty(this._description)) + { + builder = builder.WithDescription(this._description); + } + foreach (var participant in agentMap.Values) { builder diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/AgentWorkflowBuilderTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/AgentWorkflowBuilderTests.cs index 01ce7c3441..77d8d0a88d 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/AgentWorkflowBuilderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/AgentWorkflowBuilderTests.cs @@ -88,6 +88,50 @@ public class AgentWorkflowBuilderTests Assert.Equal(int.MaxValue, manager.MaximumIterationCount); } + [Fact] + public void BuildGroupChat_WithNameAndDescription_SetsWorkflowNameAndDescription() + { + const string WorkflowName = "Test Group Chat"; + const string WorkflowDescription = "A test group chat workflow"; + + var workflow = AgentWorkflowBuilder + .CreateGroupChatBuilderWith(agents => new RoundRobinGroupChatManager(agents) { MaximumIterationCount = 2 }) + .AddParticipants(new DoubleEchoAgent("agent1"), new DoubleEchoAgent("agent2")) + .WithName(WorkflowName) + .WithDescription(WorkflowDescription) + .Build(); + + Assert.Equal(WorkflowName, workflow.Name); + Assert.Equal(WorkflowDescription, workflow.Description); + } + + [Fact] + public void BuildGroupChat_WithNameOnly_SetsWorkflowName() + { + const string WorkflowName = "Named Group Chat"; + + var workflow = AgentWorkflowBuilder + .CreateGroupChatBuilderWith(agents => new RoundRobinGroupChatManager(agents) { MaximumIterationCount = 2 }) + .AddParticipants(new DoubleEchoAgent("agent1")) + .WithName(WorkflowName) + .Build(); + + Assert.Equal(WorkflowName, workflow.Name); + Assert.Null(workflow.Description); + } + + [Fact] + public void BuildGroupChat_WithoutNameOrDescription_DefaultsToNull() + { + var workflow = AgentWorkflowBuilder + .CreateGroupChatBuilderWith(agents => new RoundRobinGroupChatManager(agents) { MaximumIterationCount = 2 }) + .AddParticipants(new DoubleEchoAgent("agent1")) + .Build(); + + Assert.Null(workflow.Name); + Assert.Null(workflow.Description); + } + [Theory] [InlineData(1)] [InlineData(2)] From 3b4eed270fc070166f5e38610609df0a01dcc373 Mon Sep 17 00:00:00 2001 From: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Date: Mon, 2 Mar 2026 19:30:32 +0000 Subject: [PATCH 20/59] .NET: Skip OffThread observability test (#4399) * Skip flaky OffThread observability test Temporarily skip CreatesWorkflowEndToEndActivities_WithCorrectName_OffThreadAsync due to intermittent failures. Tracked in #4398. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- .../ObservabilityTests.cs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs index af8a9d8e0d..be45f55104 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs @@ -139,7 +139,7 @@ public sealed class ObservabilityTests : IDisposable await this.TestWorkflowEndToEndActivitiesAsync("Default"); } - [Fact] + [Fact(Skip = "Flaky test - temporarily disabled. Tracked in #12345")] public async Task CreatesWorkflowEndToEndActivities_WithCorrectName_OffThreadAsync() { await this.TestWorkflowEndToEndActivitiesAsync("OffThread"); From a442ee115dc9f27bb39cb0cfc7ce5cd8be37e931 Mon Sep 17 00:00:00 2001 From: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Date: Mon, 2 Mar 2026 22:12:55 +0000 Subject: [PATCH 21/59] .NET: AzureAI Package - Skip tool validation when UseProvidedChatClientAsIs is true (#4389) * Skip tool validation when UseProvidedChatClientAsIs is true (#3855) When GetAIAgentAsync is called with ChatClientAgentOptions.UseProvidedChatClientAsIs = true, skip requireInvocableTools validation so users can handle function calls manually via custom ChatClient middleware without needing to provide matching AIFunction tools. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Simplify requireInvocableTools expression per review feedback UseProvidedChatClientAsIs is a non-nullable bool, so use ! operator instead of != true for clarity. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Decouple tool matching from validation and add tool preservation test (#3855) Always match provided AIFunctions to server-side function definitions regardless of requireInvocableTools flag. Only throw when validation is required and no match is found. This ensures UseProvidedChatClientAsIs still preserves user-provided AIFunction tools instead of falling back to the broken ResponseToolAITool wrapper. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../AzureAIProjectChatClientExtensions.cs | 20 +++--- ...AzureAIProjectChatClientExtensionsTests.cs | 64 +++++++++++++++++++ 2 files changed, 75 insertions(+), 9 deletions(-) diff --git a/dotnet/src/Microsoft.Agents.AI.AzureAI/AzureAIProjectChatClientExtensions.cs b/dotnet/src/Microsoft.Agents.AI.AzureAI/AzureAIProjectChatClientExtensions.cs index 027eea1bca..a190f4b154 100644 --- a/dotnet/src/Microsoft.Agents.AI.AzureAI/AzureAIProjectChatClientExtensions.cs +++ b/dotnet/src/Microsoft.Agents.AI.AzureAI/AzureAIProjectChatClientExtensions.cs @@ -191,7 +191,7 @@ public static partial class AzureAIProjectChatClientExtensions AgentRecord agentRecord = await GetAgentRecordByNameAsync(aiProjectClient, options.Name, cancellationToken).ConfigureAwait(false); var agentVersion = agentRecord.Versions.Latest; - var agentOptions = CreateChatClientAgentOptions(agentVersion, options, requireInvocableTools: true); + var agentOptions = CreateChatClientAgentOptions(agentVersion, options, requireInvocableTools: !options.UseProvidedChatClientAsIs); return AsChatClientAgent( aiProjectClient, @@ -522,21 +522,23 @@ public static partial class AzureAIProjectChatClientExtensions // Check function tools foreach (ResponseTool responseTool in definitionTools) { - if (requireInvocableTools && responseTool is FunctionTool functionTool) + if (responseTool is FunctionTool functionTool) { // Check if a tool with the same type and name exists in the provided tools. - // When invocable tools are required, match only AIFunction. + // Always prefer matching AIFunction when available, regardless of requireInvocableTools. var matchingTool = chatOptions?.Tools?.FirstOrDefault(t => t is AIFunction tf && functionTool.FunctionName == tf.Name); - if (matchingTool is null) - { - (missingTools ??= []).Add($"Function tool: {functionTool.FunctionName}"); - } - else + if (matchingTool is not null) { (agentTools ??= []).Add(matchingTool!); + continue; + } + + if (requireInvocableTools) + { + (missingTools ??= []).Add($"Function tool: {functionTool.FunctionName}"); + continue; } - continue; } (agentTools ??= []).Add(responseTool.AsAITool()); diff --git a/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientExtensionsTests.cs b/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientExtensionsTests.cs index 2f2e276ae9..a7b9c54aac 100644 --- a/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientExtensionsTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientExtensionsTests.cs @@ -2375,6 +2375,70 @@ public sealed class AzureAIProjectChatClientExtensionsTests Assert.NotNull(agent); } + /// + /// Verify that GetAIAgentAsync with UseProvidedChatClientAsIs=true skips tool validation + /// and does not throw even when server-side function tools exist without matching invocable tools. + /// + [Fact] + public async Task GetAIAgentAsync_WithUseProvidedChatClientAsIs_SkipsToolValidationAsync() + { + // Arrange + PromptAgentDefinition definition = new("test-model") { Instructions = "Test" }; + definition.Tools.Add(ResponseTool.CreateFunctionTool("required_function", BinaryData.FromString("{}"), strictModeEnabled: false)); + + AIProjectClient client = this.CreateTestAgentClient(agentDefinitionResponse: definition); + var options = new ChatClientAgentOptions + { + Name = "test-agent", + ChatOptions = new ChatOptions { Instructions = "Test" }, + UseProvidedChatClientAsIs = true + }; + + // Act - should not throw even without tools when UseProvidedChatClientAsIs is true + ChatClientAgent agent = await client.GetAIAgentAsync(options); + + // Assert + Assert.NotNull(agent); + } + + /// + /// Verify that GetAIAgentAsync with UseProvidedChatClientAsIs=true still matches provided AIFunction tools + /// to server-side function definitions, instead of falling back to the ResponseToolAITool wrapper. + /// + [Fact] + public async Task GetAIAgentAsync_WithUseProvidedChatClientAsIs_PreservesProvidedToolsAsync() + { + // Arrange + PromptAgentDefinition definition = new("test-model") { Instructions = "Test" }; + definition.Tools.Add(ResponseTool.CreateFunctionTool("my_function", BinaryData.FromString("{}"), strictModeEnabled: false)); + + AIProjectClient client = this.CreateTestAgentClient(agentDefinitionResponse: definition); + + var providedTool = AIFunctionFactory.Create(() => "test", "my_function", "A test function"); + var options = new ChatClientAgentOptions + { + Name = "test-agent", + UseProvidedChatClientAsIs = true, + ChatOptions = new ChatOptions + { + Instructions = "Test", + Tools = [providedTool] + }, + }; + + // Act - UseProvidedChatClientAsIs is true, but provided AIFunctions should still be matched and preserved + ChatClientAgent agent = await client.GetAIAgentAsync(options); + + // Assert + Assert.NotNull(agent); + + // Verify the provided AIFunction was matched and preserved in ChatOptions.Tools (not replaced by AsAITool wrapper) + var chatOptions = agent.GetService(); + Assert.NotNull(chatOptions); + Assert.NotNull(chatOptions!.Tools); + Assert.Contains(chatOptions.Tools, t => t is AIFunction af && af.Name == "my_function"); + } + #endregion #region Empty Version and ID Handling Tests From 5276a6c371df560c4bdf7b24d518bf022d7c1dad Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 2 Mar 2026 23:06:34 +0000 Subject: [PATCH 22/59] Bump rollup in /python/samples/demos/ag_ui_workflow_handoff/frontend (#4284) Bumps [rollup](https://github.com/rollup/rollup) from 4.57.1 to 4.59.0. - [Release notes](https://github.com/rollup/rollup/releases) - [Changelog](https://github.com/rollup/rollup/blob/master/CHANGELOG.md) - [Commits](https://github.com/rollup/rollup/compare/v4.57.1...v4.59.0) --- updated-dependencies: - dependency-name: rollup dependency-version: 4.59.0 dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .../frontend/package-lock.json | 206 +++++++++--------- 1 file changed, 103 insertions(+), 103 deletions(-) diff --git a/python/samples/demos/ag_ui_workflow_handoff/frontend/package-lock.json b/python/samples/demos/ag_ui_workflow_handoff/frontend/package-lock.json index bc75c569ff..991211fafd 100644 --- a/python/samples/demos/ag_ui_workflow_handoff/frontend/package-lock.json +++ b/python/samples/demos/ag_ui_workflow_handoff/frontend/package-lock.json @@ -802,9 +802,9 @@ "license": "MIT" }, "node_modules/@rollup/rollup-android-arm-eabi": { - "version": "4.57.1", - "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.57.1.tgz", - "integrity": "sha512-A6ehUVSiSaaliTxai040ZpZ2zTevHYbvu/lDoeAteHI8QnaosIzm4qwtezfRg1jOYaUmnzLX1AOD6Z+UJjtifg==", + "version": "4.59.0", + "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.59.0.tgz", + "integrity": "sha512-upnNBkA6ZH2VKGcBj9Fyl9IGNPULcjXRlg0LLeaioQWueH30p6IXtJEbKAgvyv+mJaMxSm1l6xwDXYjpEMiLMg==", "cpu": [ "arm" ], @@ -816,9 +816,9 @@ ] }, "node_modules/@rollup/rollup-android-arm64": { - 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"@rollup/rollup-linux-loong64-musl": "4.57.1", - "@rollup/rollup-linux-ppc64-gnu": "4.57.1", - "@rollup/rollup-linux-ppc64-musl": "4.57.1", - "@rollup/rollup-linux-riscv64-gnu": "4.57.1", - "@rollup/rollup-linux-riscv64-musl": "4.57.1", - "@rollup/rollup-linux-s390x-gnu": "4.57.1", - "@rollup/rollup-linux-x64-gnu": "4.57.1", - "@rollup/rollup-linux-x64-musl": "4.57.1", - "@rollup/rollup-openbsd-x64": "4.57.1", - "@rollup/rollup-openharmony-arm64": "4.57.1", - "@rollup/rollup-win32-arm64-msvc": "4.57.1", - "@rollup/rollup-win32-ia32-msvc": "4.57.1", - "@rollup/rollup-win32-x64-gnu": "4.57.1", - "@rollup/rollup-win32-x64-msvc": "4.57.1", + "@rollup/rollup-android-arm-eabi": "4.59.0", + "@rollup/rollup-android-arm64": "4.59.0", + "@rollup/rollup-darwin-arm64": "4.59.0", + "@rollup/rollup-darwin-x64": "4.59.0", + "@rollup/rollup-freebsd-arm64": "4.59.0", + "@rollup/rollup-freebsd-x64": "4.59.0", + "@rollup/rollup-linux-arm-gnueabihf": "4.59.0", + "@rollup/rollup-linux-arm-musleabihf": "4.59.0", + "@rollup/rollup-linux-arm64-gnu": "4.59.0", + "@rollup/rollup-linux-arm64-musl": "4.59.0", + "@rollup/rollup-linux-loong64-gnu": "4.59.0", + "@rollup/rollup-linux-loong64-musl": "4.59.0", + "@rollup/rollup-linux-ppc64-gnu": "4.59.0", + "@rollup/rollup-linux-ppc64-musl": "4.59.0", + "@rollup/rollup-linux-riscv64-gnu": "4.59.0", + "@rollup/rollup-linux-riscv64-musl": "4.59.0", + "@rollup/rollup-linux-s390x-gnu": "4.59.0", + "@rollup/rollup-linux-x64-gnu": "4.59.0", + "@rollup/rollup-linux-x64-musl": "4.59.0", + "@rollup/rollup-openbsd-x64": "4.59.0", + "@rollup/rollup-openharmony-arm64": "4.59.0", + "@rollup/rollup-win32-arm64-msvc": "4.59.0", + "@rollup/rollup-win32-ia32-msvc": "4.59.0", + "@rollup/rollup-win32-x64-gnu": "4.59.0", + "@rollup/rollup-win32-x64-msvc": "4.59.0", "fsevents": "~2.3.2" } }, From 2b5e55625605edae480282340e33cf33e2bbb1a7 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 2 Mar 2026 15:33:15 -0800 Subject: [PATCH 23/59] Bump rollup (#4386) Bumps [rollup](https://github.com/rollup/rollup) from 4.52.4 to 4.59.0. - [Release notes](https://github.com/rollup/rollup/releases) - [Changelog](https://github.com/rollup/rollup/blob/master/CHANGELOG.md) - [Commits](https://github.com/rollup/rollup/compare/v4.52.4...v4.59.0) --- updated-dependencies: - dependency-name: rollup dependency-version: 4.59.0 dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .../frontend/package-lock.json | 227 +++++++++++------- 1 file changed, 136 insertions(+), 91 deletions(-) diff --git a/python/samples/05-end-to-end/chatkit-integration/frontend/package-lock.json b/python/samples/05-end-to-end/chatkit-integration/frontend/package-lock.json index 2a9ef09e64..5ab9ed8ed0 100644 --- a/python/samples/05-end-to-end/chatkit-integration/frontend/package-lock.json +++ b/python/samples/05-end-to-end/chatkit-integration/frontend/package-lock.json @@ -493,9 +493,9 @@ "license": "MIT" }, "node_modules/@rollup/rollup-android-arm-eabi": { - "version": "4.52.4", - "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.52.4.tgz", - "integrity": "sha512-BTm2qKNnWIQ5auf4deoetINJm2JzvihvGb9R6K/ETwKLql/Bb3Eg2H1FBp1gUb4YGbydMA3jcmQTR73q7J+GAA==", + "version": "4.59.0", + "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.59.0.tgz", + "integrity": "sha512-upnNBkA6ZH2VKGcBj9Fyl9IGNPULcjXRlg0LLeaioQWueH30p6IXtJEbKAgvyv+mJaMxSm1l6xwDXYjpEMiLMg==", "cpu": [ "arm" ], @@ -507,9 +507,9 @@ ] }, "node_modules/@rollup/rollup-android-arm64": { - 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.../sample_validation}/workflow.py | 13 +++- 11 files changed, 152 insertions(+), 86 deletions(-) rename python/{samples/_sample_validation => scripts/sample_validation}/README.md (94%) rename python/{samples/_sample_validation => scripts/sample_validation}/__init__.py (63%) rename python/{samples/_sample_validation => scripts/sample_validation}/__main__.py (75%) rename python/{samples/_sample_validation => scripts/sample_validation}/const.py (100%) rename python/{samples/_sample_validation => scripts/sample_validation}/create_dynamic_workflow_executor.py (82%) rename python/{samples/_sample_validation => scripts/sample_validation}/discovery.py (94%) rename python/{samples/_sample_validation => scripts/sample_validation}/models.py (100%) rename python/{samples/_sample_validation => scripts/sample_validation}/report.py (88%) rename python/{samples/_sample_validation => scripts/sample_validation}/run_dynamic_validation_workflow_executor.py (77%) rename python/{samples/_sample_validation => scripts/sample_validation}/workflow.py (72%) diff --git a/.github/workflows/python-sample-validation.yml b/.github/workflows/python-sample-validation.yml index 2a5a0b6596..5f36af65cc 100644 --- a/.github/workflows/python-sample-validation.yml +++ b/.github/workflows/python-sample-validation.yml @@ -43,14 +43,14 @@ jobs: - name: Run sample validation run: | - cd samples && uv run python -m _sample_validation --subdir 01-get-started --save-report --report-name 01-get-started + cd scripts && uv run python -m sample_validation --subdir 01-get-started --save-report --report-name 01-get-started - name: Upload validation report uses: actions/upload-artifact@v4 if: always() with: name: validation-report-01-get-started - path: python/samples/_sample_validation/reports/ + path: python/scripts/sample_validation/reports/ validate-02-agents: name: Validate 02-agents @@ -66,8 +66,8 @@ jobs: AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # OpenAI configuration OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }} - OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }} - OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_REASONING_MODEL_NAME }} + OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }} + OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }} # Observability ENABLE_INSTRUMENTATION: "true" defaults: @@ -86,14 +86,14 @@ jobs: - name: Run sample validation run: | - cd samples && uv run python -m _sample_validation --subdir 02-agents --save-report --report-name 02-agents + cd scripts && uv run python -m sample_validation --subdir 02-agents --save-report --report-name 02-agents - name: Upload validation report uses: actions/upload-artifact@v4 if: always() with: name: validation-report-02-agents - path: python/samples/_sample_validation/reports/ + path: python/scripts/sample_validation/reports/ validate-03-workflows: name: Validate 03-workflows @@ -123,14 +123,14 @@ jobs: - name: Run sample validation run: | - cd samples && uv run python -m _sample_validation --subdir 03-workflows --save-report --report-name 03-workflows + cd scripts && uv run python -m sample_validation --subdir 03-workflows --save-report --report-name 03-workflows - name: Upload validation report uses: actions/upload-artifact@v4 if: always() with: name: validation-report-03-workflows - path: python/samples/_sample_validation/reports/ + path: python/scripts/sample_validation/reports/ validate-04-hosting: name: Validate 04-hosting @@ -162,14 +162,14 @@ jobs: - name: Run sample validation run: | - cd samples && uv run python -m _sample_validation --subdir 04-hosting --save-report --report-name 04-hosting + cd scripts && uv run python -m sample_validation --subdir 04-hosting --save-report --report-name 04-hosting - name: Upload validation report uses: actions/upload-artifact@v4 if: always() with: name: validation-report-04-hosting - path: python/samples/_sample_validation/reports/ + path: python/scripts/sample_validation/reports/ validate-05-end-to-end: name: Validate 05-end-to-end @@ -206,14 +206,14 @@ jobs: - name: Run sample validation run: | - cd samples && uv run python -m _sample_validation --subdir 05-end-to-end --save-report --report-name 05-end-to-end + cd scripts && uv run python -m sample_validation --subdir 05-end-to-end --save-report --report-name 05-end-to-end - name: Upload validation report uses: actions/upload-artifact@v4 if: always() with: name: validation-report-05-end-to-end - path: python/samples/_sample_validation/reports/ + path: python/scripts/sample_validation/reports/ validate-autogen-migration: name: Validate autogen-migration @@ -228,8 +228,8 @@ jobs: AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__CHATDEPLOYMENTNAME }} # OpenAI configuration OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }} - OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_NAME }} - OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_REASONING_MODEL_NAME }} + OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }} + OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }} defaults: run: working-directory: python @@ -246,14 +246,14 @@ jobs: - name: Run sample validation run: | - cd samples && uv run python -m _sample_validation --subdir autogen-migration --save-report --report-name autogen-migration + cd scripts && uv run python -m sample_validation --subdir autogen-migration --save-report --report-name autogen-migration - name: Upload validation report uses: actions/upload-artifact@v4 if: always() with: name: validation-report-autogen-migration - path: python/samples/_sample_validation/reports/ + path: python/scripts/sample_validation/reports/ validate-semantic-kernel-migration: name: Validate semantic-kernel-migration @@ -269,8 +269,8 @@ jobs: AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} # OpenAI configuration OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }} - OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI_CHAT_MODEL_ID }} - OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI_RESPONSES_MODEL_ID }} + OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }} + OPENAI_RESPONSES_MODEL_ID: ${{ vars.OPENAI__RESPONSESMODELID }} # Copilot Studio COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }} COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }} @@ -292,11 +292,11 @@ jobs: - name: Run sample validation run: | - cd samples && uv run python -m _sample_validation --subdir semantic-kernel-migration --save-report --report-name semantic-kernel-migration + cd scripts && uv run python -m sample_validation --subdir semantic-kernel-migration --save-report --report-name semantic-kernel-migration - name: Upload validation report uses: actions/upload-artifact@v4 if: always() with: name: validation-report-semantic-kernel-migration - path: python/samples/_sample_validation/reports/ + path: python/scripts/sample_validation/reports/ diff --git a/python/samples/_sample_validation/README.md b/python/scripts/sample_validation/README.md similarity index 94% rename from python/samples/_sample_validation/README.md rename to python/scripts/sample_validation/README.md index 4ed84b4c41..064d9752da 100644 --- a/python/samples/_sample_validation/README.md +++ b/python/scripts/sample_validation/README.md @@ -49,8 +49,8 @@ An AI-powered workflow system for validating Python samples by discovering them, ## File Structure ``` -samples/ -├── _sample_validation/ +scripts/ +├── sample_validation/ │ ├── __init__.py # Package exports │ ├── README.md # This file │ ├── models.py # Data classes @@ -97,19 +97,19 @@ No required environment variables. Optional: ```bash # Validate all samples -uv run python -m _sample_validation +uv run python -m sample_validation # Validate specific subdirectory -uv run python -m _sample_validation --subdir 03-workflows +uv run python -m sample_validation --subdir 03-workflows # Save reports to files -uv run python -m _sample_validation --save-report --output-dir ./reports +uv run python -m sample_validation --save-report --output-dir ./reports ``` ### Configuration Options ```bash -uv run python -m _sample_validation [OPTIONS] +uv run python -m sample_validation [OPTIONS] Options: --subdir TEXT Subdirectory to validate (relative to samples/) @@ -122,13 +122,13 @@ Options: ```bash # Quick validation of a small directory -uv run python -m _sample_validation --subdir 03-workflows/_start-here +uv run python -m sample_validation --subdir 03-workflows/_start-here # Limit parallel workers for large sample sets -uv run python -m _sample_validation --subdir 02-agents --max-parallel-workers 8 +uv run python -m sample_validation --subdir 02-agents --max-parallel-workers 8 # Save report artifacts -uv run python -m _sample_validation --save-report +uv run python -m sample_validation --save-report ``` ## How It Works diff --git a/python/samples/_sample_validation/__init__.py b/python/scripts/sample_validation/__init__.py similarity index 63% rename from python/samples/_sample_validation/__init__.py rename to python/scripts/sample_validation/__init__.py index afa0f47291..450edafb9d 100644 --- a/python/samples/_sample_validation/__init__.py +++ b/python/scripts/sample_validation/__init__.py @@ -10,12 +10,12 @@ A workflow-based system for validating Python samples by: 4. Generating a validation report Usage: - uv run python -m _sample_validation - uv run python -m _sample_validation --subdir 01-get-started + uv run python -m sample_validation + uv run python -m sample_validation --subdir 01-get-started """ -from _sample_validation.models import Report, RunResult, SampleInfo -from _sample_validation.workflow import create_validation_workflow +from sample_validation.models import Report, RunResult, SampleInfo +from sample_validation.workflow import create_validation_workflow __all__ = [ "SampleInfo", diff --git a/python/samples/_sample_validation/__main__.py b/python/scripts/sample_validation/__main__.py similarity index 75% rename from python/samples/_sample_validation/__main__.py rename to python/scripts/sample_validation/__main__.py index 55d7df4b91..5d222b94b9 100644 --- a/python/samples/_sample_validation/__main__.py +++ b/python/scripts/sample_validation/__main__.py @@ -10,9 +10,9 @@ Validates all Python samples in the samples directory using a workflow that: 4. Generates a validation report Usage: - uv run python -m _sample_validation - uv run python -m _sample_validation --subdir 03-workflows - uv run python -m _sample_validation --output-dir ./reports + uv run python -m sample_validation + uv run python -m sample_validation --subdir 03-workflows + uv run python -m sample_validation --output-dir ./reports """ import argparse @@ -25,9 +25,9 @@ from pathlib import Path # Add the samples directory to the path for imports sys.path.insert(0, str(Path(__file__).parent.parent)) -from _sample_validation.models import Report -from _sample_validation.report import save_report -from _sample_validation.workflow import ValidationConfig, create_validation_workflow +from sample_validation.models import Report +from sample_validation.report import save_report +from sample_validation.workflow import ValidationConfig, create_validation_workflow def parse_arguments() -> argparse.Namespace: @@ -37,9 +37,9 @@ def parse_arguments() -> argparse.Namespace: formatter_class=argparse.RawDescriptionHelpFormatter, epilog=""" Examples: - uv run python -m _sample_validation # Validate all samples - uv run python -m _sample_validation --subdir 03-workflows # Validate only workflows - uv run python -m _sample_validation --output-dir ./reports # Save reports to custom dir + uv run python -m sample_validation # Validate all samples + uv run python -m sample_validation --subdir 03-workflows # Validate only workflows + uv run python -m sample_validation --output-dir ./reports # Save reports to custom dir """, ) @@ -52,8 +52,8 @@ Examples: parser.add_argument( "--output-dir", type=str, - default="./_sample_validation/reports", - help="Directory to save validation reports (default: ./_sample_validation/reports)", + default="./sample_validation/reports", + help="Directory to save validation reports (default: ./sample_validation/reports)", ) parser.add_argument( @@ -83,8 +83,10 @@ async def main() -> int: args = parse_arguments() # Determine paths - samples_dir = Path(__file__).parent.parent - python_root = samples_dir.parent + # Script is at python/scripts/sample_validation/__main__.py + # python_root is python/, samples_dir is python/samples/ + python_root = Path(__file__).parent.parent.parent + samples_dir = python_root / "samples" print("=" * 80) print("SAMPLE VALIDATION WORKFLOW") @@ -93,7 +95,9 @@ async def main() -> int: print(f"Python root: {python_root}") if os.environ.get("GITHUB_COPILOT_MODEL"): - print(f"Using GitHub Copilot model override: {os.environ['GITHUB_COPILOT_MODEL']}") + print( + f"Using GitHub Copilot model override: {os.environ['GITHUB_COPILOT_MODEL']}" + ) # Create validation config config = ValidationConfig( diff --git a/python/samples/_sample_validation/const.py b/python/scripts/sample_validation/const.py similarity index 100% rename from python/samples/_sample_validation/const.py rename to python/scripts/sample_validation/const.py diff --git a/python/samples/_sample_validation/create_dynamic_workflow_executor.py b/python/scripts/sample_validation/create_dynamic_workflow_executor.py similarity index 82% rename from python/samples/_sample_validation/create_dynamic_workflow_executor.py rename to python/scripts/sample_validation/create_dynamic_workflow_executor.py index bff720130d..69c5cc9a5e 100644 --- a/python/samples/_sample_validation/create_dynamic_workflow_executor.py +++ b/python/scripts/sample_validation/create_dynamic_workflow_executor.py @@ -4,16 +4,6 @@ import logging from collections import deque from dataclasses import dataclass -from _sample_validation.const import WORKER_COMPLETED -from _sample_validation.discovery import DiscoveryResult -from _sample_validation.models import ( - ExecutionResult, - RunResult, - RunStatus, - SampleInfo, - ValidationConfig, - WorkflowCreationResult, -) from agent_framework import ( Executor, Message, @@ -28,6 +18,17 @@ from copilot.types import PermissionRequest, PermissionRequestResult from pydantic import BaseModel from typing_extensions import Never +from sample_validation.const import WORKER_COMPLETED +from sample_validation.discovery import DiscoveryResult +from sample_validation.models import ( + ExecutionResult, + RunResult, + RunStatus, + SampleInfo, + ValidationConfig, + WorkflowCreationResult, +) + logger = logging.getLogger(__name__) @@ -89,10 +90,14 @@ def status_from_text(value: str) -> RunStatus: return RunStatus.ERROR -def prompt_permission(request: PermissionRequest, context: dict[str, str]) -> PermissionRequestResult: +def prompt_permission( + request: PermissionRequest, context: dict[str, str] +) -> PermissionRequestResult: """Permission handler that always approves.""" kind = request.get("kind", "unknown") - logger.debug(f"[Permission Request: {kind}] ({context})Automatically approved for sample validation.") + logger.debug( + f"[Permission Request: {kind}] ({context})Automatically approved for sample validation." + ) return PermissionRequestResult(kind="approved") @@ -108,12 +113,19 @@ class CustomAgentExecutor(Executor): self.agent = agent @handler - async def handle_task(self, sample: SampleInfo, ctx: WorkflowContext[WorkerFreed | RunResult]) -> None: + async def handle_task( + self, sample: SampleInfo, ctx: WorkflowContext[WorkerFreed | RunResult] + ) -> None: """Execute one sample task and notify collector + coordinator.""" try: - response = await self.agent.run([ - Message(role="user", text=f"Validate the following sample:\n\n{sample.relative_path}") - ]) + response = await self.agent.run( + [ + Message( + role="user", + text=f"Validate the following sample:\n\n{sample.relative_path}", + ) + ] + ) result_payload = parse_agent_json(response.text) result = RunResult( sample=sample, @@ -146,7 +158,9 @@ class BatchCoordinatorExecutor(Executor): self._pending: deque[SampleInfo] = deque() self._inflight: set[str] = set() - async def _assign_next(self, worker_id: str, ctx: WorkflowContext[SampleInfo | BatchCompletion]) -> None: + async def _assign_next( + self, worker_id: str, ctx: WorkflowContext[SampleInfo | BatchCompletion] + ) -> None: if not self._pending: # No more samples to assign if not self._inflight: @@ -161,7 +175,11 @@ class BatchCoordinatorExecutor(Executor): await ctx.send_message(sample, target_id=worker_id) @handler - async def on_start(self, start: CoordinatorStart, ctx: WorkflowContext[SampleInfo | BatchCompletion]) -> None: + async def on_start( + self, + start: CoordinatorStart, + ctx: WorkflowContext[SampleInfo | BatchCompletion], + ) -> None: """Initialize queue and dispatch first wave of tasks.""" self._pending = deque(start.samples) self._inflight.clear() @@ -170,7 +188,9 @@ class BatchCoordinatorExecutor(Executor): await self._assign_next(worker_id, ctx) @handler - async def on_worker_freed(self, freed: WorkerFreed, ctx: WorkflowContext[SampleInfo | BatchCompletion]) -> None: + async def on_worker_freed( + self, freed: WorkerFreed, ctx: WorkflowContext[SampleInfo | BatchCompletion] + ) -> None: """Dispatch next queued sample when a worker finishes.""" self._inflight.discard(freed.worker_id) await self._assign_next(freed.worker_id, ctx) @@ -184,7 +204,11 @@ class CollectorExecutor(Executor): self._results: list[RunResult] = [] @handler - async def on_all(self, batch_completion: BatchCompletion, ctx: WorkflowContext[Never, ExecutionResult]) -> None: + async def on_all( + self, + batch_completion: BatchCompletion, + ctx: WorkflowContext[Never, ExecutionResult], + ) -> None: """Receive all results at once and emit final output.""" await ctx.yield_output(ExecutionResult(results=self._results)) @@ -212,7 +236,9 @@ class CreateConcurrentValidationWorkflowExecutor(Executor): print(f"\nCreating nested batched workflow for {sample_count} samples...") if sample_count == 0: - await ctx.send_message(WorkflowCreationResult(samples=[], workflow=None, agents=[])) + await ctx.send_message( + WorkflowCreationResult(samples=[], workflow=None, agents=[]) + ) return agents: list[GitHubCopilotAgent] = [] @@ -224,7 +250,10 @@ class CreateConcurrentValidationWorkflowExecutor(Executor): id=agent_id, name=agent_id, instructions=AgentInstruction, - default_options={"on_permission_request": prompt_permission, "timeout": 180}, # type: ignore + default_options={ + "on_permission_request": prompt_permission, + "timeout": 180, + }, # type: ignore ) agents.append(agent) @@ -236,7 +265,9 @@ class CreateConcurrentValidationWorkflowExecutor(Executor): ) collector = CollectorExecutor() - nested_builder = WorkflowBuilder(start_executor=coordinator, output_executors=[collector]) + nested_builder = WorkflowBuilder( + start_executor=coordinator, output_executors=[collector] + ) nested_builder.add_edge(coordinator, collector) for worker in workers: nested_builder.add_edge(coordinator, worker) diff --git a/python/samples/_sample_validation/discovery.py b/python/scripts/sample_validation/discovery.py similarity index 94% rename from python/samples/_sample_validation/discovery.py rename to python/scripts/sample_validation/discovery.py index c71db32425..78eb1c9bfa 100644 --- a/python/samples/_sample_validation/discovery.py +++ b/python/scripts/sample_validation/discovery.py @@ -6,9 +6,10 @@ import ast import os from pathlib import Path -from _sample_validation.models import DiscoveryResult, SampleInfo, ValidationConfig from agent_framework import Executor, WorkflowContext, handler +from sample_validation.models import DiscoveryResult, SampleInfo, ValidationConfig + def _is_main_entrypoint_guard(test: ast.expr) -> bool: """Check whether an expression is ``__name__ == '__main__'``.""" @@ -45,7 +46,10 @@ def _has_main_entrypoint_guard(path: Path) -> bool: except Exception: return False - return any(isinstance(node, ast.If) and _is_main_entrypoint_guard(node.test) for node in tree.body) + return any( + isinstance(node, ast.If) and _is_main_entrypoint_guard(node.test) + for node in tree.body + ) def discover_samples(samples_dir: Path, subdir: str | None = None) -> list[SampleInfo]: diff --git a/python/samples/_sample_validation/models.py b/python/scripts/sample_validation/models.py similarity index 100% rename from python/samples/_sample_validation/models.py rename to python/scripts/sample_validation/models.py diff --git a/python/samples/_sample_validation/report.py b/python/scripts/sample_validation/report.py similarity index 88% rename from python/samples/_sample_validation/report.py rename to python/scripts/sample_validation/report.py index 9d02d342d4..db8eddeed1 100644 --- a/python/samples/_sample_validation/report.py +++ b/python/scripts/sample_validation/report.py @@ -6,10 +6,11 @@ import json from datetime import datetime from pathlib import Path -from _sample_validation.models import ExecutionResult, Report, RunResult, RunStatus from agent_framework import Executor, WorkflowContext, handler from typing_extensions import Never +from sample_validation.models import ExecutionResult, Report, RunResult, RunStatus + def generate_report(results: list[RunResult]) -> Report: """ @@ -41,7 +42,9 @@ def generate_report(results: list[RunResult]) -> Report: ) -def save_report(report: Report, output_dir: Path, name: str | None = None) -> tuple[Path, Path]: +def save_report( + report: Report, output_dir: Path, name: str | None = None +) -> tuple[Path, Path]: """ Save the report to markdown and JSON files. @@ -81,7 +84,11 @@ def print_summary(report: Report) -> None: print("SAMPLE VALIDATION SUMMARY") print("=" * 80) - if report.failure_count == 0 and report.timeout_count == 0 and report.error_count == 0: + if ( + report.failure_count == 0 + and report.timeout_count == 0 + and report.error_count == 0 + ): print("[PASS] ALL SAMPLES PASSED!") else: print("[FAIL] SOME SAMPLES FAILED") @@ -107,7 +114,9 @@ class GenerateReportExecutor(Executor): super().__init__(id="generate_report") @handler - async def generate(self, execution: ExecutionResult, ctx: WorkflowContext[Never, Report]) -> None: + async def generate( + self, execution: ExecutionResult, ctx: WorkflowContext[Never, Report] + ) -> None: """Generate the validation report from fan-in results.""" print("\nGenerating report...") diff --git a/python/samples/_sample_validation/run_dynamic_validation_workflow_executor.py b/python/scripts/sample_validation/run_dynamic_validation_workflow_executor.py similarity index 77% rename from python/samples/_sample_validation/run_dynamic_validation_workflow_executor.py rename to python/scripts/sample_validation/run_dynamic_validation_workflow_executor.py index c5e7c8616b..6f28dc9244 100644 --- a/python/samples/_sample_validation/run_dynamic_validation_workflow_executor.py +++ b/python/scripts/sample_validation/run_dynamic_validation_workflow_executor.py @@ -2,12 +2,19 @@ from collections.abc import Sequence -from _sample_validation.const import WORKER_COMPLETED -from _sample_validation.create_dynamic_workflow_executor import CoordinatorStart -from _sample_validation.models import ExecutionResult, RunResult, RunStatus, SampleInfo, WorkflowCreationResult from agent_framework import Executor, WorkflowContext, handler from agent_framework.github import GitHubCopilotAgent +from sample_validation.const import WORKER_COMPLETED +from sample_validation.create_dynamic_workflow_executor import CoordinatorStart +from sample_validation.models import ( + ExecutionResult, + RunResult, + RunStatus, + SampleInfo, + WorkflowCreationResult, +) + async def stop_agents(agents: Sequence[GitHubCopilotAgent]) -> None: """Stop all GitHub Copilot agents used by the nested workflow.""" @@ -25,7 +32,9 @@ class RunDynamicValidationWorkflowExecutor(Executor): super().__init__(id="run_dynamic_workflow") @handler - async def run(self, creation: WorkflowCreationResult, ctx: WorkflowContext[ExecutionResult]) -> None: + async def run( + self, creation: WorkflowCreationResult, ctx: WorkflowContext[ExecutionResult] + ) -> None: """Run the nested workflow and emit execution results.""" if creation.workflow is None: await ctx.send_message(ExecutionResult(results=[])) @@ -37,10 +46,14 @@ class RunDynamicValidationWorkflowExecutor(Executor): try: remaining_sample_counts = len(creation.samples) result: ExecutionResult | None = None - async for event in creation.workflow.run(CoordinatorStart(samples=creation.samples), stream=True): + async for event in creation.workflow.run( + CoordinatorStart(samples=creation.samples), stream=True + ): if event.type == "output" and isinstance(event.data, ExecutionResult): result = event.data # type: ignore - elif event.type == WORKER_COMPLETED and isinstance(event.data, SampleInfo): # type: ignore + elif event.type == WORKER_COMPLETED and isinstance( + event.data, SampleInfo + ): # type: ignore remaining_sample_counts -= 1 print( f"Completed validation for sample: {event.data.relative_path:<80} | " diff --git a/python/samples/_sample_validation/workflow.py b/python/scripts/sample_validation/workflow.py similarity index 72% rename from python/samples/_sample_validation/workflow.py rename to python/scripts/sample_validation/workflow.py index 51cbd3d410..10187c069b 100644 --- a/python/samples/_sample_validation/workflow.py +++ b/python/scripts/sample_validation/workflow.py @@ -6,12 +6,17 @@ Sample Validation Workflow using Microsoft Agent Framework. Workflow composition for sample validation. """ -from _sample_validation.create_dynamic_workflow_executor import CreateConcurrentValidationWorkflowExecutor -from _sample_validation.discovery import DiscoverSamplesExecutor, ValidationConfig -from _sample_validation.report import GenerateReportExecutor -from _sample_validation.run_dynamic_validation_workflow_executor import RunDynamicValidationWorkflowExecutor from agent_framework import Workflow, WorkflowBuilder +from sample_validation.create_dynamic_workflow_executor import ( + CreateConcurrentValidationWorkflowExecutor, +) +from sample_validation.discovery import DiscoverSamplesExecutor, ValidationConfig +from sample_validation.report import GenerateReportExecutor +from sample_validation.run_dynamic_validation_workflow_executor import ( + RunDynamicValidationWorkflowExecutor, +) + def create_validation_workflow( config: ValidationConfig, From ef8e18fb85ef06f3c8cd0c95e77f57373acdd672 Mon Sep 17 00:00:00 2001 From: "L. Elaine Dazzio" Date: Mon, 2 Mar 2026 22:06:08 -0500 Subject: [PATCH 29/59] Python: fix(python): Use AgentResponse.value instead of model_validate_json in HITL sample (#4405) * fix(python): use AgentResponse.value instead of model_validate_json in HITL sample Since the agent is configured with response_format=GuessOutput, the AgentResponse already provides .value with the parsed Pydantic model. Using .value is more idiomatic and avoids redundant JSON parsing. Fixes #4396 * fix: add safety guard for AgentResponse.value being None Address Copilot review feedback: .value is optional and may be None if response_format isn't propagated through the streaming path. Add an explicit None check with a clear error message. --- .../guessing_game_with_human_input.py | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py b/python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py index 06e9a738f5..f764de6cb7 100644 --- a/python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py +++ b/python/samples/03-workflows/human-in-the-loop/guessing_game_with_human_input.py @@ -102,12 +102,19 @@ class TurnManager(Executor): """Handle the agent's guess and request human guidance. Steps: - 1) Parse the agent's JSON into GuessOutput for robustness. + 1) Use .value to access the parsed structured output directly. 2) Request info with a HumanFeedbackRequest as the payload. """ - # Parse structured model output - text = result.agent_response.text - last_guess = GuessOutput.model_validate_json(text).guess + # Access the parsed structured model output via .value. + # Since the agent is configured with response_format=GuessOutput, + # .value returns the parsed GuessOutput instance directly. + agent_value = result.agent_response.value + if agent_value is None: + raise RuntimeError( + "AgentResponse.value is None. Ensure that the agent is invoked with " + "options={'response_format': GuessOutput} so structured output is available." + ) + last_guess = agent_value.guess # Craft a precise human prompt that defines higher and lower relative to the agent's guess. prompt = ( From 869e51fdce5c27b0f617f3bc909ac8d3eebd3a29 Mon Sep 17 00:00:00 2001 From: "L. Elaine Dazzio" Date: Mon, 2 Mar 2026 23:07:00 -0500 Subject: [PATCH 30/59] Python: fix(python): Handle thread.message.completed event in Assistants API streaming (#4333) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * 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> --- .../openai/_assistants_client.py | 71 +++++ .../openai/test_openai_assistants_client.py | 280 +++++++++++++++++- 2 files changed, 344 insertions(+), 7 deletions(-) diff --git a/python/packages/core/agent_framework/openai/_assistants_client.py b/python/packages/core/agent_framework/openai/_assistants_client.py index dc05411a52..1c8aafc94e 100644 --- a/python/packages/core/agent_framework/openai/_assistants_client.py +++ b/python/packages/core/agent_framework/openai/_assistants_client.py @@ -3,6 +3,7 @@ from __future__ import annotations import json +import logging import sys from collections.abc import ( AsyncIterable, @@ -16,7 +17,9 @@ from typing import TYPE_CHECKING, Any, Generic, Literal, TypedDict, cast from openai import AsyncOpenAI from openai.types.beta.threads import ( + FileCitationAnnotation, FileCitationDeltaAnnotation, + FilePathAnnotation, FilePathDeltaAnnotation, ImageURLContentBlockParam, ImageURLParam, @@ -26,6 +29,9 @@ from openai.types.beta.threads import ( TextContentBlockParam, TextDeltaBlock, ) +from openai.types.beta.threads import ( + Message as ThreadMessage, +) from openai.types.beta.threads.run_create_params import AdditionalMessage from openai.types.beta.threads.run_submit_tool_outputs_params import ToolOutput from openai.types.beta.threads.runs import RunStep @@ -72,6 +78,8 @@ else: if TYPE_CHECKING: from .._middleware import MiddlewareTypes +logger = logging.getLogger("agent_framework.openai") + # region OpenAI Assistants Options TypedDict @@ -610,6 +618,69 @@ class OpenAIAssistantsClient( # type: ignore[misc] raw_representation=response.data, response_id=response_id, ) + elif response.event == "thread.message.completed" and isinstance(response.data, ThreadMessage): + # Process completed message to extract fully resolved annotations. + # Delta events may carry partial/empty annotation data; the completed + # message contains the final text with all citation details populated. + completed_contents: list[Content] = [] + for block in response.data.content: + if block.type != "text": + continue + text_content = Content.from_text(block.text.value) + if block.text.annotations: + text_content.annotations = [] + for completed_annotation in block.text.annotations: + if isinstance(completed_annotation, FileCitationAnnotation): + props: dict[str, Any] = { + "text": completed_annotation.text, + } + ann = Annotation( + type="citation", + additional_properties=props, + raw_representation=completed_annotation, + ) + if completed_annotation.file_citation and completed_annotation.file_citation.file_id: + ann["file_id"] = completed_annotation.file_citation.file_id + if completed_annotation.start_index is not None and completed_annotation.end_index is not None: + ann["annotated_regions"] = [ + TextSpanRegion( + type="text_span", + start_index=completed_annotation.start_index, + end_index=completed_annotation.end_index, + ) + ] + text_content.annotations.append(ann) + elif isinstance(completed_annotation, FilePathAnnotation): + ann = Annotation( + type="citation", + additional_properties={ + "text": completed_annotation.text, + }, + raw_representation=completed_annotation, + ) + if completed_annotation.file_path and completed_annotation.file_path.file_id: + ann["file_id"] = completed_annotation.file_path.file_id + if completed_annotation.start_index is not None and completed_annotation.end_index is not None: + ann["annotated_regions"] = [ + TextSpanRegion( + type="text_span", + start_index=completed_annotation.start_index, + end_index=completed_annotation.end_index, + ) + ] + text_content.annotations.append(ann) + else: + logger.debug("Unparsed annotation type: %s", completed_annotation.type) + completed_contents.append(text_content) + if completed_contents: + yield ChatResponseUpdate( + role="assistant", + contents=completed_contents, + conversation_id=thread_id, + message_id=response_id, + raw_representation=response.data, + response_id=response_id, + ) elif response.event == "thread.run.requires_action" and isinstance(response.data, Run): contents = self._parse_function_calls_from_assistants(response.data, response_id) if contents: diff --git a/python/packages/core/tests/openai/test_openai_assistants_client.py b/python/packages/core/tests/openai/test_openai_assistants_client.py index 8f39573006..1ce40eeba0 100644 --- a/python/packages/core/tests/openai/test_openai_assistants_client.py +++ b/python/packages/core/tests/openai/test_openai_assistants_client.py @@ -1,17 +1,12 @@ # Copyright (c) Microsoft. All rights reserved. import json +import logging import os from typing import Annotated, Any -from unittest.mock import AsyncMock, MagicMock +from unittest.mock import AsyncMock, MagicMock, patch import pytest -from openai.types.beta.threads import MessageDeltaEvent, Run, TextDeltaBlock -from openai.types.beta.threads.file_citation_delta_annotation import FileCitationDeltaAnnotation -from openai.types.beta.threads.file_path_delta_annotation import FilePathDeltaAnnotation -from openai.types.beta.threads.runs import RunStep -from pydantic import Field - from agent_framework import ( Agent, AgentResponse, @@ -25,6 +20,20 @@ from agent_framework import ( tool, ) from agent_framework.openai import OpenAIAssistantsClient +from openai.types.beta.threads import ( + FileCitationAnnotation, + FilePathAnnotation, + MessageDeltaEvent, + Run, + TextDeltaBlock, +) +from openai.types.beta.threads import ( + Message as ThreadMessage, +) +from openai.types.beta.threads.file_citation_delta_annotation import FileCitationDeltaAnnotation +from openai.types.beta.threads.file_path_delta_annotation import FilePathDeltaAnnotation +from openai.types.beta.threads.runs import RunStep +from pydantic import Field skip_if_openai_integration_tests_disabled = pytest.mark.skipif( os.getenv("OPENAI_API_KEY", "") in ("", "test-dummy-key"), @@ -1566,3 +1575,260 @@ def test_with_callable_api_key() -> None: assert client.model_id == "gpt-4o" # OpenAI SDK now manages callable API keys internally assert client.client is not None + + +# region thread.message.completed helpers + + +def _make_stream_event(event: str, data: Any) -> MagicMock: + """Create a mock stream event.""" + mock = MagicMock() + mock.event = event + mock.data = data + return mock + + +def _make_text_block(text_value: str, annotations: list | None = None) -> MagicMock: + """Create a mock TextContentBlock with optional annotations.""" + block = MagicMock() + block.type = "text" + block.text = MagicMock() + block.text.value = text_value + block.text.annotations = annotations or [] + return block + + +def _make_image_block() -> MagicMock: + """Create a mock ImageContentBlock (non-text block).""" + block = MagicMock() + block.type = "image_file" + return block + + +def _make_file_citation_annotation( + text: str = "【4:0†source】", + file_id: str = "file-abc123", + start_index: int = 10, + end_index: int = 24, +) -> MagicMock: + """Create a mock FileCitationAnnotation.""" + annotation = MagicMock(spec=FileCitationAnnotation) + annotation.text = text + annotation.start_index = start_index + annotation.end_index = end_index + annotation.file_citation = MagicMock() + annotation.file_citation.file_id = file_id + return annotation + + +def _make_file_path_annotation( + text: str = "sandbox:/file.csv", + file_id: str = "file-xyz789", + start_index: int = 5, + end_index: int = 22, +) -> MagicMock: + """Create a mock FilePathAnnotation.""" + annotation = MagicMock(spec=FilePathAnnotation) + annotation.text = text + annotation.start_index = start_index + annotation.end_index = end_index + annotation.file_path = MagicMock() + annotation.file_path.file_id = file_id + return annotation + + +def _make_unknown_annotation() -> MagicMock: + """Create a mock annotation of an unrecognized type.""" + annotation = MagicMock() + annotation.__class__.__name__ = "FutureAnnotationType" + return annotation + + +def _make_thread_message(content_blocks: list) -> MagicMock: + """Create a mock ThreadMessage.""" + msg = MagicMock(spec=ThreadMessage) + msg.content = content_blocks + return msg + + +async def _collect_updates(client, stream_events, thread_id="thread_123"): + """Helper to collect ChatResponseUpdate objects from _process_stream_events.""" + + class MockAsyncStream: + def __init__(self, events): + self._events = events + + async def __aenter__(self): + return self + + async def __aexit__(self, *args): + pass + + def __aiter__(self): + return self + + async def __anext__(self): + if not self._events: + raise StopAsyncIteration + return self._events.pop(0) + + mock_stream = MockAsyncStream(list(stream_events)) + results = [] + async for update in client._process_stream_events(mock_stream, thread_id): + results.append(update) + return results + + +# endregion + + +class TestMessageCompletedAnnotations: + """Tests for thread.message.completed event handling.""" + + @pytest.fixture + def client(self): + """Create a client instance for testing.""" + with patch.object(OpenAIAssistantsClient, "__init__", lambda self, **kw: None): + return object.__new__(OpenAIAssistantsClient) + + @pytest.mark.asyncio + async def test_message_completed_with_file_citation(self, client): + """Verify file citation annotations are extracted from completed messages.""" + citation = _make_file_citation_annotation( + text="【4:0†source】", file_id="file-abc123", start_index=10, end_index=24 + ) + text_block = _make_text_block("Some text with a citation【4:0†source】", [citation]) + msg = _make_thread_message([text_block]) + + events = [_make_stream_event("thread.message.completed", msg)] + updates = await _collect_updates(client, events) + + # Should yield exactly one update for the completed message + assert len(updates) == 1 + update = updates[0] + assert update.role == "assistant" + assert len(update.contents) == 1 + + content = update.contents[0] + assert content.text == "Some text with a citation【4:0†source】" + assert content.annotations is not None + assert len(content.annotations) == 1 + + ann = content.annotations[0] + assert ann["type"] == "citation" + assert ann["file_id"] == "file-abc123" + assert ann["annotated_regions"][0]["start_index"] == 10 + assert ann["annotated_regions"][0]["end_index"] == 24 + + + + @pytest.mark.asyncio + async def test_message_completed_with_file_path(self, client): + """Verify file path annotations are extracted from completed messages.""" + file_path = _make_file_path_annotation( + text="sandbox:/output.csv", file_id="file-xyz789", start_index=0, end_index=19 + ) + text_block = _make_text_block("sandbox:/output.csv", [file_path]) + msg = _make_thread_message([text_block]) + + events = [_make_stream_event("thread.message.completed", msg)] + updates = await _collect_updates(client, events) + + assert len(updates) == 1 + content = updates[0].contents[0] + assert content.annotations is not None + assert len(content.annotations) == 1 + + ann = content.annotations[0] + assert ann["type"] == "citation" + assert ann["file_id"] == "file-xyz789" + assert ann["annotated_regions"][0]["start_index"] == 0 + assert ann["annotated_regions"][0]["end_index"] == 19 + + @pytest.mark.asyncio + async def test_message_completed_multiple_annotations(self, client): + """Verify multiple annotations on a single text block are all captured.""" + cit1 = _make_file_citation_annotation(text="【1†src】", file_id="file-a", start_index=5, end_index=12) + cit2 = _make_file_citation_annotation(text="【2†src】", file_id="file-b", start_index=20, end_index=27) + text_block = _make_text_block("Hello【1†src】world【2†src】", [cit1, cit2]) + msg = _make_thread_message([text_block]) + + events = [_make_stream_event("thread.message.completed", msg)] + updates = await _collect_updates(client, events) + + assert len(updates) == 1 + assert len(updates[0].contents[0].annotations) == 2 + assert updates[0].contents[0].annotations[0]["file_id"] == "file-a" + assert updates[0].contents[0].annotations[1]["file_id"] == "file-b" + + @pytest.mark.asyncio + async def test_message_completed_no_annotations(self, client): + """Verify text-only completed messages produce content without annotations.""" + text_block = _make_text_block("Plain text response") + msg = _make_thread_message([text_block]) + + events = [_make_stream_event("thread.message.completed", msg)] + updates = await _collect_updates(client, events) + + assert len(updates) == 1 + content = updates[0].contents[0] + assert content.text == "Plain text response" + assert content.annotations is None or len(content.annotations) == 0 + + @pytest.mark.asyncio + async def test_message_completed_skips_non_text_blocks(self, client): + """Verify non-text content blocks (e.g., image_file) are skipped.""" + image_block = _make_image_block() + msg = _make_thread_message([image_block]) + + events = [_make_stream_event("thread.message.completed", msg)] + updates = await _collect_updates(client, events) + + # No text blocks → no update yielded + assert len(updates) == 0 + + @pytest.mark.asyncio + async def test_message_completed_mixed_blocks(self, client): + """Verify only text blocks are processed in mixed-content messages.""" + text_block = _make_text_block("Text content here") + image_block = _make_image_block() + msg = _make_thread_message([image_block, text_block]) + + events = [_make_stream_event("thread.message.completed", msg)] + updates = await _collect_updates(client, events) + + assert len(updates) == 1 + assert len(updates[0].contents) == 1 + assert updates[0].contents[0].text == "Text content here" + + @pytest.mark.asyncio + async def test_message_completed_conversation_id_preserved(self, client): + """Verify the thread_id is correctly propagated as conversation_id.""" + text_block = _make_text_block("Response text") + msg = _make_thread_message([text_block]) + + events = [_make_stream_event("thread.message.completed", msg)] + updates = await _collect_updates(client, events, thread_id="thread_custom_456") + + assert len(updates) == 1 + assert updates[0].conversation_id == "thread_custom_456" + + @pytest.mark.asyncio + async def test_message_completed_unrecognized_annotation_logged(self, client, caplog): + """Verify unrecognized annotation types are logged at debug level and skipped.""" + unknown_ann = _make_unknown_annotation() + citation = _make_file_citation_annotation(text="【1†src】", file_id="file-a", start_index=0, end_index=7) + text_block = _make_text_block("Text【1†src】", [unknown_ann, citation]) + msg = _make_thread_message([text_block]) + + events = [_make_stream_event("thread.message.completed", msg)] + with caplog.at_level(logging.DEBUG, logger="agent_framework.openai"): + updates = await _collect_updates(client, events) + + # The known citation should still be processed + assert len(updates) == 1 + assert len(updates[0].contents[0].annotations) == 1 + assert updates[0].contents[0].annotations[0]["file_id"] == "file-a" + + # The unrecognized annotation should have been logged + assert any("Unparsed annotation type" in record.message for record in caplog.records) From debec5208cea036da6ef0b264a7d8bf42d43b757 Mon Sep 17 00:00:00 2001 From: Copilot <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Mar 2026 08:51:38 +0000 Subject: [PATCH 31/59] Python: Add auto_retry.py sample for rate limit handling (#4223) * Initial plan * Add auto_retry.py sample for rate limiting handling Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Update auto_retry sample to use class decorator for get_response retries Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Address review feedback on auto_retry sample header and wrapper usage Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * Restore class-decorator retry sample and address reviewer feedback Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> --- python/samples/02-agents/auto_retry.py | 250 +++++++++++++++++++++++++ 1 file changed, 250 insertions(+) create mode 100644 python/samples/02-agents/auto_retry.py diff --git a/python/samples/02-agents/auto_retry.py b/python/samples/02-agents/auto_retry.py new file mode 100644 index 0000000000..7c985bd0c1 --- /dev/null +++ b/python/samples/02-agents/auto_retry.py @@ -0,0 +1,250 @@ +# /// script +# requires-python = ">=3.10" +# dependencies = [ +# "agent-framework", +# "tenacity", +# ] +# /// +# Run with any PEP 723 compatible runner, e.g.: +# uv run samples/02-agents/auto_retry.py + +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +import logging +from collections.abc import Awaitable, Callable +from typing import Any, TypeVar, cast + +from agent_framework import ChatContext, ChatMiddleware, SupportsChatGetResponse, chat_middleware +from agent_framework.azure import AzureOpenAIChatClient +from azure.identity import AzureCliCredential +from dotenv import load_dotenv +from openai import RateLimitError +from tenacity import ( + AsyncRetrying, + before_sleep_log, + retry, + retry_if_exception_type, + stop_after_attempt, + wait_exponential, +) + +# Load environment variables from .env file +load_dotenv() + +""" +Auto-Retry Rate Limiting Sample + +Every model inference API enforces rate limits, so production agents need retry logic +to handle 429 responses gracefully. This sample shows two ways to add automatic retry +using the `tenacity` library, keeping your application code free of boilerplate. + +Approach 1 – Class decorator + Apply a class decorator to any client type implementing + SupportsChatGetResponse. The decorator patches get_response() with retry + behavior. Non-streaming responses are retried; streaming is returned as-is + (streaming retry requires more delicate handling). + +Approach 2 – Chat middleware + Register middleware on the agent that catches RateLimitError raised inside + call_next() and retries the entire request pipeline. Two styles are shown: + a) Class-based middleware (ChatMiddleware subclass) + b) Function-based middleware (@chat_middleware decorator) + +Both approaches use the same tenacity primitives: + - stop_after_attempt – cap the total number of tries + - wait_exponential – exponential back-off between retries + - retry_if_exception_type(RateLimitError) – only retry on 429 errors + - before_sleep_log – log each retry attempt at WARNING level +""" + +logger = logging.getLogger(__name__) + +RETRY_ATTEMPTS = 3 + +# ============================================================================= +# Approach 1: Class decorator +# ============================================================================= + + +ChatClientT = TypeVar("ChatClientT", bound=SupportsChatGetResponse[Any]) + + +def with_rate_limit_retry(*, retry_attempts: int = RETRY_ATTEMPTS) -> Callable[[type[ChatClientT]], type[ChatClientT]]: + """Class decorator that adds non-streaming retry behavior to get_response().""" + + def decorator(client_cls: type[ChatClientT]) -> type[ChatClientT]: + original_get_response = client_cls.get_response + + def get_response_with_retry(self, *args, **kwargs): # type: ignore[no-untyped-def] + stream = kwargs.get("stream", False) + + if stream: + # Streaming retry is more complex; fall back to the original behaviour. + return original_get_response(self, *args, **kwargs) + + async def _with_retry(): + async for attempt in AsyncRetrying( + stop=stop_after_attempt(retry_attempts), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type(RateLimitError), + reraise=True, + before_sleep=before_sleep_log(logger, logging.WARNING), + ): + with attempt: + return await original_get_response(self, *args, **kwargs) + return None + + return _with_retry() + + client_cls.get_response = cast(Any, get_response_with_retry) + return client_cls + + return decorator + + +@with_rate_limit_retry() +class RetryingAzureOpenAIChatClient(AzureOpenAIChatClient): + """Azure OpenAI Chat client with class-decorator-based retry behavior.""" + + +# ============================================================================= +# Approach 2a: Class-based chat middleware +# ============================================================================= + + +class RateLimitRetryMiddleware(ChatMiddleware): + """Chat middleware that retries the full request pipeline on rate limit errors. + + Register this middleware on an agent (or at the run level) to automatically + retry any call_next() invocation that raises RateLimitError. + """ + + def __init__(self, *, max_attempts: int = RETRY_ATTEMPTS) -> None: + """Initialize with the maximum number of retry attempts.""" + self.max_attempts = max_attempts + + async def process( + self, + context: ChatContext, + call_next: Callable[[], Awaitable[None]], + ) -> None: + """Retry call_next() on rate limit errors with exponential back-off.""" + async for attempt in AsyncRetrying( + stop=stop_after_attempt(self.max_attempts), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type(RateLimitError), + reraise=True, + before_sleep=before_sleep_log(logger, logging.WARNING), + ): + with attempt: + await call_next() + + +# ============================================================================= +# Approach 2b: Function-based chat middleware +# ============================================================================= + + +@chat_middleware +async def rate_limit_retry_middleware( + context: ChatContext, + call_next: Callable[[], Awaitable[None]], +) -> None: + """Function-based chat middleware that retries on rate limit errors. + + Wrap call_next() with a tenacity @retry decorator so any RateLimitError + raised during model inference triggers an automatic retry with exponential + back-off. + """ + + @retry( + stop=stop_after_attempt(RETRY_ATTEMPTS), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type(RateLimitError), + reraise=True, + before_sleep=before_sleep_log(logger, logging.WARNING), + ) + async def _call_next_with_retry() -> None: + await call_next() + + await _call_next_with_retry() + + +# ============================================================================= +# Demo +# ============================================================================= + + +async def class_decorator_example() -> None: + """Demonstrate Approach 1: class decorator on a chat client type.""" + print("\n" + "=" * 60) + print("Approach 1: Class decorator (applied to client type)") + print("=" * 60) + + # For authentication, run `az login` command in terminal or replace + # AzureCliCredential with your preferred authentication option. + agent = RetryingAzureOpenAIChatClient(credential=AzureCliCredential()).as_agent( + instructions="You are a helpful assistant.", + ) + + query = "Say hello!" + print(f"User: {query}") + result = await agent.run(query) + print(f"Agent: {result.text}") + + +async def class_based_middleware_example() -> None: + """Demonstrate Approach 2a: class-based chat middleware.""" + print("\n" + "=" * 60) + print("Approach 2a: Class-based chat middleware") + print("=" * 60) + + # For authentication, run `az login` command in terminal or replace + # AzureCliCredential with your preferred authentication option. + agent = AzureOpenAIChatClient(credential=AzureCliCredential()).as_agent( + instructions="You are a helpful assistant.", + middleware=[RateLimitRetryMiddleware(max_attempts=3)], + ) + + query = "Say hello!" + print(f"User: {query}") + result = await agent.run(query) + print(f"Agent: {result.text}") + + +async def function_based_middleware_example() -> None: + """Demonstrate Approach 2b: function-based chat middleware.""" + print("\n" + "=" * 60) + print("Approach 2b: Function-based chat middleware") + print("=" * 60) + + # For authentication, run `az login` command in terminal or replace + # AzureCliCredential with your preferred authentication option. + agent = AzureOpenAIChatClient(credential=AzureCliCredential()).as_agent( + instructions="You are a helpful assistant.", + middleware=[rate_limit_retry_middleware], + ) + + query = "Say hello!" + print(f"User: {query}") + result = await agent.run(query) + print(f"Agent: {result.text}") + + +async def main() -> None: + """Run all auto-retry examples.""" + print("=== Auto-Retry Rate Limiting Sample ===") + print( + "Demonstrates two approaches for automatic retry on rate limit (429) errors.\n" + "Set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_CHAT_DEPLOYMENT_NAME (and optionally\n" + "AZURE_OPENAI_API_KEY) before running, or populate a .env file." + ) + + await class_decorator_example() + await class_based_middleware_example() + await function_based_middleware_example() + + +if __name__ == "__main__": + asyncio.run(main()) From 2e9319359b5a20e3eae3d27471805754aba833c7 Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Tue, 3 Mar 2026 19:08:40 +0900 Subject: [PATCH 32/59] Python: Add regression tests for Entry JoinExecutor Workflow.Inputs initialization (#4335) * Python: Add regression tests for #3948 - Entry JoinExecutor initializes Workflow.Inputs Add tests verifying that when workflow.run() is called with a dict or string input, the Entry node (JoinExecutor with kind: 'Entry') correctly initializes Workflow.Inputs via _ensure_state_initialized so that: - Expressions like =inputs.age resolve to the correct value - Conditions like =Local.age < 13 evaluate based on actual input (not blank/0) - String inputs populate both inputs.input and System.LastMessage.Text Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply pre-commit auto-fixes * Fix D420 and RUF070 lint errors across packages * Revert _workflow.py yield-inside-context-manager changes Moving yield inside `with _framework_event_origin()` blocks in the async generator causes ContextVar token reset failures on Python 3.12 Windows. The token stays un-reset while the generator is suspended, and async generator finalization in a different contextvars.Context triggers ValueError, corrupting OpenTelemetry span state and causing test_span_creation_and_attributes to see leaked spans. Keep yields outside the context manager blocks to ensure tokens are reset immediately before the generator suspends. --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../tests/test_workflow_factory.py | 69 +++++++++++++++++++ 1 file changed, 69 insertions(+) diff --git a/python/packages/declarative/tests/test_workflow_factory.py b/python/packages/declarative/tests/test_workflow_factory.py index 25c1249a50..f08f5993e5 100644 --- a/python/packages/declarative/tests/test_workflow_factory.py +++ b/python/packages/declarative/tests/test_workflow_factory.py @@ -159,6 +159,75 @@ actions: _text_outputs = [str(o) for o in outputs if isinstance(o, str) or hasattr(o, "data")] # noqa: F841 assert any("Condition was true" in str(o) for o in outputs) + @pytest.mark.asyncio + async def test_entry_join_executor_initializes_workflow_inputs(self): + """Regression test for #3948: Entry JoinExecutor must initialize Workflow.Inputs. + + When workflow.run() is called with a dict input, the Entry node (JoinExecutor + with kind: 'Entry') must call _ensure_state_initialized so that Workflow.Inputs + is populated. Without this, expressions like =inputs.age resolve to blank and + conditions like =Local.age < 13 always evaluate as true (blank treated as 0). + """ + factory = WorkflowFactory() + workflow = factory.create_workflow_from_yaml(""" +name: entry-inputs-test +actions: + - kind: SetValue + id: get_age + path: Local.age + value: =inputs.age + - kind: If + id: check_age + condition: =Local.age < 13 + then: + - kind: SendActivity + activity: + text: child + else: + - kind: SendActivity + activity: + text: adult +""") + + # age=8 -> child branch + result_child = await workflow.run({"age": 8}) + outputs_child = result_child.get_outputs() + assert any("child" in str(o) for o in outputs_child), f"Expected 'child' for age=8 but got: {outputs_child}" + assert not any("adult" in str(o) for o in outputs_child), ( + f"Did not expect 'adult' for age=8 but got: {outputs_child}" + ) + + # age=25 -> adult branch (bug: blank treated as 0 made this always go to child) + result_adult = await workflow.run({"age": 25}) + outputs_adult = result_adult.get_outputs() + assert any("adult" in str(o) for o in outputs_adult), f"Expected 'adult' for age=25 but got: {outputs_adult}" + assert not any("child" in str(o) for o in outputs_adult), ( + f"Did not expect 'child' for age=25 but got: {outputs_adult}" + ) + + @pytest.mark.asyncio + async def test_entry_join_executor_initializes_workflow_inputs_string(self): + """Regression test for #3948: Entry JoinExecutor must initialize Workflow.Inputs for string input. + + When workflow.run() is called with a string input, Workflow.Inputs.input and + System.LastMessage.Text should be set correctly. + """ + factory = WorkflowFactory() + workflow = factory.create_workflow_from_yaml(""" +name: entry-string-inputs-test +actions: + - kind: SetValue + path: Local.msg + value: =inputs.input + - kind: SendActivity + activity: + text: =Local.msg +""") + + result = await workflow.run("hello-world") + outputs = result.get_outputs() + assert any("hello-world" in str(o) for o in outputs), f"Expected 'hello-world' in outputs but got: {outputs}" + class TestWorkflowFactoryAgentRegistration: """Tests for agent registration.""" From 945933c3517c896dee137952af539070978a827d Mon Sep 17 00:00:00 2001 From: westey <164392973+westey-m@users.noreply.github.com> Date: Tue, 3 Mar 2026 11:02:02 +0000 Subject: [PATCH 33/59] [BREAKING] Add response filter for store input in *Providers (#4327) * Add response filter for store input for *Providers * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Address feedback * Apply suggestions from code review Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> --- .../01-get-started/04_memory/Program.cs | 1 - .../Program.cs | 2 +- .../Program.cs | 2 +- .../Program.cs | 1 - .../Program.cs | 4 +- .../AIContextProvider.cs | 24 +++-- .../ChatHistoryProvider.cs | 18 ++-- .../InMemoryChatHistoryProvider.cs | 3 +- .../InMemoryChatHistoryProviderOptions.cs | 14 ++- .../MessageAIContextProvider.cs | 8 +- .../CosmosChatHistoryProvider.cs | 24 +++-- .../FoundryMemoryProvider.cs | 2 +- .../FoundryMemoryProviderOptions.cs | 11 ++- .../Microsoft.Agents.AI.Mem0/Mem0Provider.cs | 2 +- .../Mem0ProviderOptions.cs | 11 ++- .../WorkflowChatHistoryProvider.cs | 1 - .../Memory/ChatHistoryMemoryProvider.cs | 2 +- .../ChatHistoryMemoryProviderOptions.cs | 10 +- .../Microsoft.Agents.AI/TextSearchProvider.cs | 2 +- .../TextSearchProviderOptions.cs | 11 ++- .../AIContextProviderTests.cs | 98 ++++++++++++++++++- .../ChatHistoryProviderTests.cs | 17 +++- .../InMemoryChatHistoryProviderTests.cs | 2 +- .../CosmosChatHistoryProviderTests.cs | 2 +- .../Mem0ProviderTests.cs | 2 +- .../ChatClient/ChatClientAgentOptionsTests.cs | 8 +- .../ChatClient/ChatClientAgentTests.cs | 22 ++--- ...hatClientAgent_BackgroundResponsesTests.cs | 16 +-- ...tClientAgent_ChatHistoryManagementTests.cs | 8 +- .../Data/TextSearchProviderTests.cs | 2 +- .../Memory/ChatHistoryMemoryProviderTests.cs | 2 +- 31 files changed, 249 insertions(+), 83 deletions(-) diff --git a/dotnet/samples/01-get-started/04_memory/Program.cs b/dotnet/samples/01-get-started/04_memory/Program.cs index fa6940f5fd..3705e64f3a 100644 --- a/dotnet/samples/01-get-started/04_memory/Program.cs +++ b/dotnet/samples/01-get-started/04_memory/Program.cs @@ -92,7 +92,6 @@ namespace SampleApp private readonly IChatClient _chatClient; public UserInfoMemory(IChatClient chatClient, Func? stateInitializer = null) - : base(null, null) { this._sessionState = new ProviderSessionState( stateInitializer ?? (_ => new UserInfo()), diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs index c04601d940..e1db6d3f4f 100644 --- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs +++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs @@ -73,7 +73,7 @@ AIAgent agent = azureOpenAIClient // We also want to maintain that exclusion here. ChatHistoryProvider = new InMemoryChatHistoryProvider(new InMemoryChatHistoryProviderOptions { - StorageInputMessageFilter = messages => messages.Where(m => m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.AIContextProvider && m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.ChatHistory) + StorageInputRequestMessageFilter = messages => messages.Where(m => m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.AIContextProvider && m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.ChatHistory) }), }); diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/Program.cs b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/Program.cs index 0c299a1445..0f65121c04 100644 --- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/Program.cs +++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/Program.cs @@ -80,7 +80,7 @@ AIAgent agent = azureOpenAIClient // You may choose to persist the TextSearchProvider messages, if you want the search output to be provided to the model in future interactions as well. ChatHistoryProvider = new InMemoryChatHistoryProvider(new InMemoryChatHistoryProviderOptions() { - StorageInputMessageFilter = msgs => msgs.Where(m => m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.ChatHistory && m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.AIContextProvider) + StorageInputRequestMessageFilter = msgs => msgs.Where(m => m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.ChatHistory && m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.AIContextProvider) }) }); diff --git a/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs index cbcf14157e..63fa5c0751 100644 --- a/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs +++ b/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs @@ -85,7 +85,6 @@ namespace SampleApp VectorStore vectorStore, Func? stateInitializer = null, string? stateKey = null) - : base(provideOutputMessageFilter: null, storeInputMessageFilter: null) { this._sessionState = new ProviderSessionState( stateInitializer ?? (_ => new State(Guid.NewGuid().ToString("N"))), diff --git a/dotnet/samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Program.cs index a341abe8cd..e3913c9f0e 100644 --- a/dotnet/samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Program.cs +++ b/dotnet/samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Program.cs @@ -49,11 +49,11 @@ AIAgent agent = new AzureOpenAIClient( """ }, ChatHistoryProvider = new InMemoryChatHistoryProvider(new InMemoryChatHistoryProviderOptions { - // Use StorageInputMessageFilter to provide a custom filter for messages stored in chat history. + // Use StorageInputRequestMessageFilter to provide a custom filter for request messages stored in chat history. // By default the chat history provider will store all messages, except for those that came from chat history in the first place. // In this case, we want to also exclude messages that came from AI context providers. // You may want to store these messages, depending on their content and your requirements. - StorageInputMessageFilter = messages => messages.Where(m => m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.AIContextProvider && m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.ChatHistory) + StorageInputRequestMessageFilter = messages => messages.Where(m => m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.AIContextProvider && m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.ChatHistory) }), // Add multiple AI context providers: one that maintains a todo list and one that provides upcoming calendar entries. // The agent will call each provider in sequence, accumulating context from each. diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/AIContextProvider.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/AIContextProvider.cs index 7ac4eed18c..82e5f2c360 100644 --- a/dotnet/src/Microsoft.Agents.AI.Abstractions/AIContextProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Abstractions/AIContextProvider.cs @@ -33,18 +33,23 @@ public abstract class AIContextProvider { private static IEnumerable DefaultExternalOnlyFilter(IEnumerable messages) => messages.Where(m => m.GetAgentRequestMessageSourceType() == AgentRequestMessageSourceType.External); + private static IEnumerable DefaultNoopFilter(IEnumerable messages) + => messages; /// /// Initializes a new instance of the class. /// /// An optional filter function to apply to input messages before providing context via . If not set, defaults to including only messages. - /// An optional filter function to apply to request messages before storing context via . If not set, defaults to including only messages. + /// An optional filter function to apply to request messages before storing context via . If not set, defaults to including only messages. + /// An optional filter function to apply to response messages before storing context via . If not set, defaults to a no-op filter that includes all response messages. protected AIContextProvider( Func, IEnumerable>? provideInputMessageFilter = null, - Func, IEnumerable>? storeInputMessageFilter = null) + Func, IEnumerable>? storeInputRequestMessageFilter = null, + Func, IEnumerable>? storeInputResponseMessageFilter = null) { this.ProvideInputMessageFilter = provideInputMessageFilter ?? DefaultExternalOnlyFilter; - this.StoreInputMessageFilter = storeInputMessageFilter ?? DefaultExternalOnlyFilter; + this.StoreInputRequestMessageFilter = storeInputRequestMessageFilter ?? DefaultExternalOnlyFilter; + this.StoreInputResponseMessageFilter = storeInputResponseMessageFilter ?? DefaultNoopFilter; } /// @@ -55,7 +60,12 @@ public abstract class AIContextProvider /// /// Gets the filter function to apply to request messages before storing context via . /// - protected Func, IEnumerable> StoreInputMessageFilter { get; } + protected Func, IEnumerable> StoreInputRequestMessageFilter { get; } + + /// + /// Gets the filter function to apply to response messages before storing context via . + /// + protected Func, IEnumerable> StoreInputResponseMessageFilter { get; } /// /// Gets the key used to store the provider state in the . @@ -245,8 +255,10 @@ public abstract class AIContextProvider /// /// /// The default implementation of this method skips execution for any invocation failures, - /// filters the request messages using the configured store-input message filter + /// filters the request messages using the configured store-input request message filter /// (which defaults to including only messages), + /// filters the response messages using the configured store-input response message filter + /// (which defaults to a no-op, so all response messages are processed), /// and calls to process the invocation results. /// For most scenarios, overriding is sufficient to process invocation results, /// while still benefiting from the default error handling and filtering behavior. @@ -261,7 +273,7 @@ public abstract class AIContextProvider return default; } - var subContext = new InvokedContext(context.Agent, context.Session, this.StoreInputMessageFilter(context.RequestMessages), context.ResponseMessages!); + var subContext = new InvokedContext(context.Agent, context.Session, this.StoreInputRequestMessageFilter(context.RequestMessages), this.StoreInputResponseMessageFilter(context.ResponseMessages!)); return this.StoreAIContextAsync(subContext, cancellationToken); } diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/ChatHistoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/ChatHistoryProvider.cs index ad3f3aacfb..df9ff0069e 100644 --- a/dotnet/src/Microsoft.Agents.AI.Abstractions/ChatHistoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Abstractions/ChatHistoryProvider.cs @@ -42,21 +42,27 @@ public abstract class ChatHistoryProvider { private static IEnumerable DefaultExcludeChatHistoryFilter(IEnumerable messages) => messages.Where(m => m.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.ChatHistory); + private static IEnumerable DefaultNoopFilter(IEnumerable messages) + => messages; private readonly Func, IEnumerable>? _provideOutputMessageFilter; - private readonly Func, IEnumerable> _storeInputMessageFilter; + private readonly Func, IEnumerable> _storeInputRequestMessageFilter; + private readonly Func, IEnumerable> _storeInputResponseMessageFilter; /// /// Initializes a new instance of the class. /// /// An optional filter function to apply to messages when retrieving them from the chat history. - /// An optional filter function to apply to messages before storing them in the chat history. If not set, defaults to excluding messages with source type . + /// An optional filter function to apply to request messages before storing them in the chat history. If not set, defaults to excluding messages with source type . + /// An optional filter function to apply to response messages before storing them in the chat history. If not set, defaults to a no-op filter that includes all response messages. protected ChatHistoryProvider( Func, IEnumerable>? provideOutputMessageFilter = null, - Func, IEnumerable>? storeInputMessageFilter = null) + Func, IEnumerable>? storeInputRequestMessageFilter = null, + Func, IEnumerable>? storeInputResponseMessageFilter = null) { this._provideOutputMessageFilter = provideOutputMessageFilter; - this._storeInputMessageFilter = storeInputMessageFilter ?? DefaultExcludeChatHistoryFilter; + this._storeInputRequestMessageFilter = storeInputRequestMessageFilter ?? DefaultExcludeChatHistoryFilter; + this._storeInputResponseMessageFilter = storeInputResponseMessageFilter ?? DefaultNoopFilter; } /// @@ -216,7 +222,7 @@ public abstract class ChatHistoryProvider /// To check if the invocation was successful, inspect the property. /// /// - /// The default implementation of this method, skips execution for any invocation failures, filters messages using the optional storage input message filter + /// The default implementation of this method, skips execution for any invocation failures, filters messages using the optional storage input request and response message filters /// and calls to store new chat history messages. /// For most scenarios, overriding is sufficient to store chat history messages, while still benefiting from the default error handling and filtering behavior. /// However, for scenarios that require more control over error handling or message filtering, overriding this method allows you to directly control the messages that are stored for the invocation. @@ -229,7 +235,7 @@ public abstract class ChatHistoryProvider return default; } - var subContext = new InvokedContext(context.Agent, context.Session, this._storeInputMessageFilter(context.RequestMessages), context.ResponseMessages!); + var subContext = new InvokedContext(context.Agent, context.Session, this._storeInputRequestMessageFilter(context.RequestMessages), this._storeInputResponseMessageFilter(context.ResponseMessages!)); return this.StoreChatHistoryAsync(subContext, cancellationToken); } diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProvider.cs index 12e935b23e..e09dd6b0a0 100644 --- a/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProvider.cs @@ -38,7 +38,8 @@ public sealed class InMemoryChatHistoryProvider : ChatHistoryProvider public InMemoryChatHistoryProvider(InMemoryChatHistoryProviderOptions? options = null) : base( options?.ProvideOutputMessageFilter, - options?.StorageInputMessageFilter) + options?.StorageInputRequestMessageFilter, + options?.StorageInputResponseMessageFilter) { this._sessionState = new ProviderSessionState( options?.StateInitializer ?? (_ => new State()), diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProviderOptions.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProviderOptions.cs index ba24f55ded..873619d484 100644 --- a/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProviderOptions.cs +++ b/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProviderOptions.cs @@ -59,7 +59,19 @@ public sealed class InMemoryChatHistoryProviderOptions /// Depending on your requirements, you could provide a different filter, that also excludes /// messages from e.g. AI context providers. /// - public Func, IEnumerable>? StorageInputMessageFilter { get; set; } + public Func, IEnumerable>? StorageInputRequestMessageFilter { get; set; } + + /// + /// Gets or sets an optional filter function applied to response messages before they are added to storage + /// during . + /// + /// + /// When , no filtering is applied to response messages before they are stored. + /// If you want to avoid persisting certain messages (for example, those with + /// source type or produced by AI context providers), + /// provide a filter that returns only the messages you want to keep. + /// + public Func, IEnumerable>? StorageInputResponseMessageFilter { get; set; } /// /// Gets or sets an optional filter function applied to messages produced by this provider diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/MessageAIContextProvider.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/MessageAIContextProvider.cs index 24264e0e47..c5f367443c 100644 --- a/dotnet/src/Microsoft.Agents.AI.Abstractions/MessageAIContextProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Abstractions/MessageAIContextProvider.cs @@ -34,11 +34,13 @@ public abstract class MessageAIContextProvider : AIContextProvider /// Initializes a new instance of the class. /// /// An optional filter function to apply to input messages before providing messages via . If not set, defaults to including only messages. - /// An optional filter function to apply to request messages before storing messages via . If not set, defaults to including only messages. + /// An optional filter function to apply to request messages before storing messages via . If not set, defaults to including only messages. + /// An optional filter function to apply to response messages before storing messages via . If not set, defaults to including all response messages (no filtering). protected MessageAIContextProvider( Func, IEnumerable>? provideInputMessageFilter = null, - Func, IEnumerable>? storeInputMessageFilter = null) - : base(provideInputMessageFilter, storeInputMessageFilter) + Func, IEnumerable>? storeInputRequestMessageFilter = null, + Func, IEnumerable>? storeInputResponseMessageFilter = null) + : base(provideInputMessageFilter, storeInputRequestMessageFilter, storeInputResponseMessageFilter) { } diff --git a/dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosChatHistoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosChatHistoryProvider.cs index f1670fbb84..afaa59ee53 100644 --- a/dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosChatHistoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosChatHistoryProvider.cs @@ -87,7 +87,8 @@ public sealed class CosmosChatHistoryProvider : ChatHistoryProvider, IDisposable /// Whether this instance owns the CosmosClient and should dispose it. /// An optional key to use for storing the state in the . /// An optional filter function to apply to messages when retrieving them from the chat history. - /// An optional filter function to apply to messages before storing them in the chat history. If not set, defaults to excluding messages with source type . + /// An optional filter function to apply to request messages before storing them in the chat history. If not set, defaults to excluding messages with source type . + /// An optional filter function to apply to response messages before storing them in the chat history. If not set, defaults to storing all response messages. /// Thrown when or is . /// Thrown when any string parameter is null or whitespace. public CosmosChatHistoryProvider( @@ -98,8 +99,9 @@ public sealed class CosmosChatHistoryProvider : ChatHistoryProvider, IDisposable bool ownsClient = false, string? stateKey = null, Func, IEnumerable>? provideOutputMessageFilter = null, - Func, IEnumerable>? storeInputMessageFilter = null) - : base(provideOutputMessageFilter, storeInputMessageFilter) + Func, IEnumerable>? storeInputRequestMessageFilter = null, + Func, IEnumerable>? storeInputResponseMessageFilter = null) + : base(provideOutputMessageFilter, storeInputRequestMessageFilter, storeInputResponseMessageFilter) { this._sessionState = new ProviderSessionState( Throw.IfNull(stateInitializer), @@ -123,7 +125,8 @@ public sealed class CosmosChatHistoryProvider : ChatHistoryProvider, IDisposable /// A delegate that initializes the provider state on the first invocation. /// An optional key to use for storing the state in the . /// An optional filter function to apply to messages when retrieving them from the chat history. - /// An optional filter function to apply to messages before storing them in the chat history. If not set, defaults to excluding messages with source type . + /// An optional filter function to apply to request messages before storing them in the chat history. If not set, defaults to excluding messages with source type . + /// An optional filter function to apply to response messages before storing them in the chat history. If not set, defaults to storing all response messages. /// Thrown when any required parameter is null. /// Thrown when any string parameter is null or whitespace. public CosmosChatHistoryProvider( @@ -133,8 +136,9 @@ public sealed class CosmosChatHistoryProvider : ChatHistoryProvider, IDisposable Func stateInitializer, string? stateKey = null, Func, IEnumerable>? provideOutputMessageFilter = null, - Func, IEnumerable>? storeInputMessageFilter = null) - : this(new CosmosClient(Throw.IfNullOrWhitespace(connectionString)), databaseId, containerId, stateInitializer, ownsClient: true, stateKey, provideOutputMessageFilter, storeInputMessageFilter) + Func, IEnumerable>? storeInputRequestMessageFilter = null, + Func, IEnumerable>? storeInputResponseMessageFilter = null) + : this(new CosmosClient(Throw.IfNullOrWhitespace(connectionString)), databaseId, containerId, stateInitializer, ownsClient: true, stateKey, provideOutputMessageFilter, storeInputRequestMessageFilter, storeInputResponseMessageFilter) { } @@ -148,7 +152,8 @@ public sealed class CosmosChatHistoryProvider : ChatHistoryProvider, IDisposable /// A delegate that initializes the provider state on the first invocation. /// An optional key to use for storing the state in the . /// An optional filter function to apply to messages when retrieving them from the chat history. - /// An optional filter function to apply to messages before storing them in the chat history. If not set, defaults to excluding messages with source type . + /// An optional filter function to apply to request messages before storing them in the chat history. If not set, defaults to excluding messages with source type . + /// An optional filter function to apply to response messages before storing them in the chat history. If not set, defaults to storing all response messages. /// Thrown when any required parameter is null. /// Thrown when any string parameter is null or whitespace. public CosmosChatHistoryProvider( @@ -159,8 +164,9 @@ public sealed class CosmosChatHistoryProvider : ChatHistoryProvider, IDisposable Func stateInitializer, string? stateKey = null, Func, IEnumerable>? provideOutputMessageFilter = null, - Func, IEnumerable>? storeInputMessageFilter = null) - : this(new CosmosClient(Throw.IfNullOrWhitespace(accountEndpoint), Throw.IfNull(tokenCredential)), databaseId, containerId, stateInitializer, ownsClient: true, stateKey, provideOutputMessageFilter, storeInputMessageFilter) + Func, IEnumerable>? storeInputRequestMessageFilter = null, + Func, IEnumerable>? storeInputResponseMessageFilter = null) + : this(new CosmosClient(Throw.IfNullOrWhitespace(accountEndpoint), Throw.IfNull(tokenCredential)), databaseId, containerId, stateInitializer, ownsClient: true, stateKey, provideOutputMessageFilter, storeInputRequestMessageFilter, storeInputResponseMessageFilter) { } diff --git a/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProvider.cs index 9ffeda3fb5..0f7041e834 100644 --- a/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProvider.cs @@ -59,7 +59,7 @@ public sealed class FoundryMemoryProvider : AIContextProvider Func stateInitializer, FoundryMemoryProviderOptions? options = null, ILoggerFactory? loggerFactory = null) - : base(options?.SearchInputMessageFilter, options?.StorageInputMessageFilter) + : base(options?.SearchInputMessageFilter, options?.StorageInputRequestMessageFilter, options?.StorageInputResponseMessageFilter) { Throw.IfNull(client); Throw.IfNullOrWhitespace(memoryStoreName); diff --git a/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProviderOptions.cs b/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProviderOptions.cs index 482e14db82..870fe1d271 100644 --- a/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProviderOptions.cs +++ b/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProviderOptions.cs @@ -63,5 +63,14 @@ public sealed class FoundryMemoryProviderOptions /// When , the provider defaults to including only /// messages. /// - public Func, IEnumerable>? StorageInputMessageFilter { get; set; } + public Func, IEnumerable>? StorageInputRequestMessageFilter { get; set; } + + /// + /// Gets or sets an optional filter function applied to response messages when determining which messages to + /// extract memories from during . + /// + /// + /// When , the provider does not filter response messages and includes all messages. + /// + public Func, IEnumerable>? StorageInputResponseMessageFilter { get; set; } } diff --git a/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0Provider.cs b/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0Provider.cs index 1924bc0da2..1e325b5683 100644 --- a/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0Provider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0Provider.cs @@ -52,7 +52,7 @@ public sealed class Mem0Provider : MessageAIContextProvider /// /// public Mem0Provider(HttpClient httpClient, Func stateInitializer, Mem0ProviderOptions? options = null, ILoggerFactory? loggerFactory = null) - : base(options?.SearchInputMessageFilter, options?.StorageInputMessageFilter) + : base(options?.SearchInputMessageFilter, options?.StorageInputRequestMessageFilter, options?.StorageInputResponseMessageFilter) { this._sessionState = new ProviderSessionState( ValidateStateInitializer(Throw.IfNull(stateInitializer)), diff --git a/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0ProviderOptions.cs b/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0ProviderOptions.cs index f7d14028d9..4a3a16712f 100644 --- a/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0ProviderOptions.cs +++ b/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0ProviderOptions.cs @@ -47,5 +47,14 @@ public sealed class Mem0ProviderOptions /// When , the provider defaults to including only /// messages. /// - public Func, IEnumerable>? StorageInputMessageFilter { get; set; } + public Func, IEnumerable>? StorageInputRequestMessageFilter { get; set; } + + /// + /// Gets or sets an optional filter function applied to response messages when determining which messages to + /// extract memories from during . + /// + /// + /// When , the provider applies no filtering and includes all response messages. + /// + public Func, IEnumerable>? StorageInputResponseMessageFilter { get; set; } } diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/WorkflowChatHistoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/WorkflowChatHistoryProvider.cs index b9d5f3ae49..1fd42f923e 100644 --- a/dotnet/src/Microsoft.Agents.AI.Workflows/WorkflowChatHistoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Workflows/WorkflowChatHistoryProvider.cs @@ -22,7 +22,6 @@ internal sealed class WorkflowChatHistoryProvider : ChatHistoryProvider /// and source generated serializers are required, or Native AOT / Trimming is required. /// public WorkflowChatHistoryProvider(JsonSerializerOptions? jsonSerializerOptions = null) - : base(provideOutputMessageFilter: null, storeInputMessageFilter: null) { this._sessionState = new ProviderSessionState( _ => new StoreState(), diff --git a/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProvider.cs b/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProvider.cs index 7905db74b8..cd59d1aaa3 100644 --- a/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProvider.cs @@ -88,7 +88,7 @@ public sealed class ChatHistoryMemoryProvider : MessageAIContextProvider, IDispo Func stateInitializer, ChatHistoryMemoryProviderOptions? options = null, ILoggerFactory? loggerFactory = null) - : base(options?.SearchInputMessageFilter, options?.StorageInputMessageFilter) + : base(options?.SearchInputMessageFilter, options?.StorageInputRequestMessageFilter, options?.StorageInputResponseMessageFilter) { this._sessionState = new ProviderSessionState( Throw.IfNull(stateInitializer), diff --git a/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProviderOptions.cs b/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProviderOptions.cs index 6c92a426f3..a9c5b93928 100644 --- a/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProviderOptions.cs +++ b/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProviderOptions.cs @@ -75,8 +75,16 @@ public sealed class ChatHistoryMemoryProviderOptions /// When , the provider defaults to including only /// messages. /// - public Func, IEnumerable>? StorageInputMessageFilter { get; set; } + public Func, IEnumerable>? StorageInputRequestMessageFilter { get; set; } + /// + /// Gets or sets an optional filter function applied to response messages when storing recent chat history + /// during . + /// + /// + /// When , the provider does not apply any filtering and includes all response messages. + /// + public Func, IEnumerable>? StorageInputResponseMessageFilter { get; set; } /// /// Behavior choices for the provider. /// diff --git a/dotnet/src/Microsoft.Agents.AI/TextSearchProvider.cs b/dotnet/src/Microsoft.Agents.AI/TextSearchProvider.cs index dd62b0eb9b..df53729fce 100644 --- a/dotnet/src/Microsoft.Agents.AI/TextSearchProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI/TextSearchProvider.cs @@ -61,7 +61,7 @@ public sealed class TextSearchProvider : MessageAIContextProvider Func>> searchAsync, TextSearchProviderOptions? options = null, ILoggerFactory? loggerFactory = null) - : base(options?.SearchInputMessageFilter, options?.StorageInputMessageFilter) + : base(options?.SearchInputMessageFilter, options?.StorageInputRequestMessageFilter, options?.StorageInputResponseMessageFilter) { this._sessionState = new ProviderSessionState( _ => new TextSearchProviderState(), diff --git a/dotnet/src/Microsoft.Agents.AI/TextSearchProviderOptions.cs b/dotnet/src/Microsoft.Agents.AI/TextSearchProviderOptions.cs index 837470b776..879e34121d 100644 --- a/dotnet/src/Microsoft.Agents.AI/TextSearchProviderOptions.cs +++ b/dotnet/src/Microsoft.Agents.AI/TextSearchProviderOptions.cs @@ -86,7 +86,16 @@ public sealed class TextSearchProviderOptions /// When , the provider defaults to including only /// messages. /// - public Func, IEnumerable>? StorageInputMessageFilter { get; set; } + public Func, IEnumerable>? StorageInputRequestMessageFilter { get; set; } + + /// + /// Gets or sets an optional filter function applied to response messages when updating the recent message + /// memory during . + /// + /// + /// When , the provider defaults to including all messages. + /// + public Func, IEnumerable>? StorageInputResponseMessageFilter { get; set; } /// /// Gets or sets the list of types to filter recent messages to diff --git a/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/AIContextProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/AIContextProviderTests.cs index 811f9a3216..0e664d1ac9 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/AIContextProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/AIContextProviderTests.cs @@ -543,7 +543,9 @@ public class AIContextProviderTests var storedRequest = provider.LastStoredContext!.RequestMessages.ToList(); Assert.Single(storedRequest); Assert.Equal("External", storedRequest[0].Text); - Assert.Same(responseMessages, provider.LastStoredContext.ResponseMessages); + var storedResponse = provider.LastStoredContext.ResponseMessages!.ToList(); + Assert.Single(storedResponse); + Assert.Equal("Response", storedResponse[0].Text); } [Fact] @@ -565,13 +567,14 @@ public class AIContextProviderTests { // Arrange - filter that only keeps System messages var provider = new TestAIContextProvider( - storeInputMessageFilter: msgs => msgs.Where(m => m.Role == ChatRole.System)); + storeInputRequestMessageFilter: msgs => msgs.Where(m => m.Role == ChatRole.System), + storeInputResponseMessageFilter: msgs => msgs.Where(m => m.Role == ChatRole.Assistant)); var messages = new[] { new ChatMessage(ChatRole.User, "User msg"), new ChatMessage(ChatRole.System, "System msg") }; - var context = new AIContextProvider.InvokedContext(s_mockAgent, s_mockSession, messages, [new ChatMessage(ChatRole.Assistant, "Response")]); + var context = new AIContextProvider.InvokedContext(s_mockAgent, s_mockSession, messages, [new ChatMessage(ChatRole.Assistant, "Response"), new ChatMessage(ChatRole.Tool, "Response")]); // Act await provider.InvokedAsync(context); @@ -581,6 +584,9 @@ public class AIContextProviderTests var storedRequest = provider.LastStoredContext!.RequestMessages.ToList(); Assert.Single(storedRequest); Assert.Equal("System msg", storedRequest[0].Text); + var storedResponse = provider.LastStoredContext.ResponseMessages!.ToList(); + Assert.Single(storedResponse); + Assert.Equal("Response", storedResponse[0].Text); } [Fact] @@ -605,6 +611,87 @@ public class AIContextProviderTests Assert.Equal("External", storedRequest[0].Text); } + [Fact] + public async Task InvokedCoreAsync_DefaultResponseFilterPassesAllResponseMessagesAsync() + { + // Arrange + var provider = new TestAIContextProvider(); + var requestMessages = new[] { new ChatMessage(ChatRole.User, "Request") }; + var externalResponse = new ChatMessage(ChatRole.Assistant, "ExternalResp"); + var historyResponse = new ChatMessage(ChatRole.Assistant, "HistoryResp") + .WithAgentRequestMessageSource(AgentRequestMessageSourceType.ChatHistory, "src"); + var contextResponse = new ChatMessage(ChatRole.Assistant, "ContextResp") + .WithAgentRequestMessageSource(AgentRequestMessageSourceType.AIContextProvider, "src"); + var context = new AIContextProvider.InvokedContext(s_mockAgent, s_mockSession, requestMessages, [externalResponse, historyResponse, contextResponse]); + + // Act + await provider.InvokedAsync(context); + + // Assert - default response filter is a noop, so all response messages are kept + Assert.NotNull(provider.LastStoredContext); + var storedResponse = provider.LastStoredContext!.ResponseMessages!.ToList(); + Assert.Equal(3, storedResponse.Count); + Assert.Equal("ExternalResp", storedResponse[0].Text); + Assert.Equal("HistoryResp", storedResponse[1].Text); + Assert.Equal("ContextResp", storedResponse[2].Text); + } + + [Fact] + public async Task InvokedCoreAsync_UsesCustomResponseFilterAsync() + { + // Arrange - response filter that only keeps Assistant messages with specific text + var provider = new TestAIContextProvider( + storeInputResponseMessageFilter: msgs => msgs.Where(m => m.Text == "Keep")); + var requestMessages = new[] { new ChatMessage(ChatRole.User, "Request") }; + var responseMessages = new[] + { + new ChatMessage(ChatRole.Assistant, "Keep"), + new ChatMessage(ChatRole.Assistant, "Drop") + }; + var context = new AIContextProvider.InvokedContext(s_mockAgent, s_mockSession, requestMessages, responseMessages); + + // Act + await provider.InvokedAsync(context); + + // Assert + Assert.NotNull(provider.LastStoredContext); + var storedResponse = provider.LastStoredContext!.ResponseMessages!.ToList(); + Assert.Single(storedResponse); + Assert.Equal("Keep", storedResponse[0].Text); + } + + [Fact] + public async Task InvokedCoreAsync_RequestAndResponseFiltersOperateIndependentlyAsync() + { + // Arrange - different filters for request and response + var provider = new TestAIContextProvider( + storeInputRequestMessageFilter: msgs => msgs.Where(m => m.Role == ChatRole.System), + storeInputResponseMessageFilter: msgs => msgs.Where(m => m.Text == "Resp1")); + var requestMessages = new[] + { + new ChatMessage(ChatRole.User, "User"), + new ChatMessage(ChatRole.System, "System") + }; + var responseMessages = new[] + { + new ChatMessage(ChatRole.Assistant, "Resp1"), + new ChatMessage(ChatRole.Assistant, "Resp2") + }; + var context = new AIContextProvider.InvokedContext(s_mockAgent, s_mockSession, requestMessages, responseMessages); + + // Act + await provider.InvokedAsync(context); + + // Assert - request filter kept only System, response filter kept only Resp1 + Assert.NotNull(provider.LastStoredContext); + var storedRequest = provider.LastStoredContext!.RequestMessages.ToList(); + Assert.Single(storedRequest); + Assert.Equal("System", storedRequest[0].Text); + var storedResponse = provider.LastStoredContext!.ResponseMessages!.ToList(); + Assert.Single(storedResponse); + Assert.Equal("Resp1", storedResponse[0].Text); + } + #endregion private sealed class TestAIContextProvider : AIContextProvider @@ -620,8 +707,9 @@ public class AIContextProviderTests AIContext? provideContext = null, bool captureFilteredContext = false, Func, IEnumerable>? provideInputMessageFilter = null, - Func, IEnumerable>? storeInputMessageFilter = null) - : base(provideInputMessageFilter, storeInputMessageFilter) + Func, IEnumerable>? storeInputRequestMessageFilter = null, + Func, IEnumerable>? storeInputResponseMessageFilter = null) + : base(provideInputMessageFilter, storeInputRequestMessageFilter, storeInputResponseMessageFilter) { this._provideContext = provideContext; this._captureFilteredContext = captureFilteredContext; diff --git a/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/ChatHistoryProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/ChatHistoryProviderTests.cs index 5df661f009..ed4e4823b3 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/ChatHistoryProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/ChatHistoryProviderTests.cs @@ -439,7 +439,9 @@ public class ChatHistoryProviderTests var storedRequest = provider.LastStoredContext!.RequestMessages.ToList(); Assert.Single(storedRequest); Assert.Equal("External", storedRequest[0].Text); - Assert.Same(responseMessages, provider.LastStoredContext.ResponseMessages); + var storedResponse = provider.LastStoredContext.ResponseMessages!.ToList(); + Assert.Single(storedResponse); + Assert.Equal("Response", storedResponse[0].Text); } [Fact] @@ -461,13 +463,14 @@ public class ChatHistoryProviderTests { // Arrange - filter that only keeps System messages var provider = new TestChatHistoryProvider( - storeInputMessageFilter: msgs => msgs.Where(m => m.Role == ChatRole.System)); + storeInputRequestMessageFilter: msgs => msgs.Where(m => m.Role == ChatRole.System), + storeInputResponseMessageFilter: msgs => msgs.Where(m => m.Role == ChatRole.Assistant)); var messages = new[] { new ChatMessage(ChatRole.User, "User msg"), new ChatMessage(ChatRole.System, "System msg") }; - var context = new ChatHistoryProvider.InvokedContext(s_mockAgent, s_mockSession, messages, [new ChatMessage(ChatRole.Assistant, "Response")]); + var context = new ChatHistoryProvider.InvokedContext(s_mockAgent, s_mockSession, messages, [new ChatMessage(ChatRole.Assistant, "Response"), new ChatMessage(ChatRole.Tool, "Response")]); // Act await provider.InvokedAsync(context); @@ -477,6 +480,9 @@ public class ChatHistoryProviderTests var storedRequest = provider.LastStoredContext!.RequestMessages.ToList(); Assert.Single(storedRequest); Assert.Equal("System msg", storedRequest[0].Text); + var storedResponse = provider.LastStoredContext.ResponseMessages!.ToList(); + Assert.Single(storedResponse); + Assert.Equal("Response", storedResponse[0].Text); } [Fact] @@ -529,8 +535,9 @@ public class ChatHistoryProviderTests public TestChatHistoryProvider( IEnumerable? provideMessages = null, Func, IEnumerable>? provideOutputMessageFilter = null, - Func, IEnumerable>? storeInputMessageFilter = null) - : base(provideOutputMessageFilter, storeInputMessageFilter) + Func, IEnumerable>? storeInputRequestMessageFilter = null, + Func, IEnumerable>? storeInputResponseMessageFilter = null) + : base(provideOutputMessageFilter, storeInputRequestMessageFilter, storeInputResponseMessageFilter) { this._provideMessages = provideMessages; } diff --git a/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/InMemoryChatHistoryProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/InMemoryChatHistoryProviderTests.cs index ebe1131ab7..147ceaf195 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/InMemoryChatHistoryProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/InMemoryChatHistoryProviderTests.cs @@ -418,7 +418,7 @@ public class InMemoryChatHistoryProviderTests var session = CreateMockSession(); var provider = new InMemoryChatHistoryProvider(new InMemoryChatHistoryProviderOptions { - StorageInputMessageFilter = messages => messages.Where(m => m.GetAgentRequestMessageSourceType() == AgentRequestMessageSourceType.External) + StorageInputRequestMessageFilter = messages => messages.Where(m => m.GetAgentRequestMessageSourceType() == AgentRequestMessageSourceType.External) }); var requestMessages = new List { diff --git a/dotnet/tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/CosmosChatHistoryProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/CosmosChatHistoryProviderTests.cs index a790b19cdd..736bf7f026 100644 --- a/dotnet/tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/CosmosChatHistoryProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/CosmosChatHistoryProviderTests.cs @@ -1004,7 +1004,7 @@ public sealed class CosmosChatHistoryProviderTests : IAsyncLifetime, IDisposable s_testDatabaseId, TestContainerId, _ => new CosmosChatHistoryProvider.State(conversationId), - storeInputMessageFilter: messages => messages.Where(m => m.GetAgentRequestMessageSourceType() == AgentRequestMessageSourceType.External)); + storeInputRequestMessageFilter: messages => messages.Where(m => m.GetAgentRequestMessageSourceType() == AgentRequestMessageSourceType.External)); var requestMessages = new[] { diff --git a/dotnet/tests/Microsoft.Agents.AI.Mem0.UnitTests/Mem0ProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.Mem0.UnitTests/Mem0ProviderTests.cs index 02e18f324e..9f9de9127b 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Mem0.UnitTests/Mem0ProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Mem0.UnitTests/Mem0ProviderTests.cs @@ -530,7 +530,7 @@ public sealed class Mem0ProviderTests : IDisposable var mockSession = new TestAgentSession(); var sut = new Mem0Provider(this._httpClient, _ => new Mem0Provider.State(storageScope), options: new Mem0ProviderOptions { - StorageInputMessageFilter = messages => messages // No filtering - store everything + StorageInputRequestMessageFilter = messages => messages // No filtering - store everything }); var requestMessages = new List diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentOptionsTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentOptionsTests.cs index 1798afb433..9f8894d5c2 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentOptionsTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentOptionsTests.cs @@ -119,8 +119,8 @@ public class ChatClientAgentOptionsTests const string Description = "Test description"; var tools = new List { AIFunctionFactory.Create(() => "test") }; - var mockChatHistoryProvider = new Mock(null, null).Object; - var mockAIContextProvider = new Mock(null, null).Object; + var mockChatHistoryProvider = new Mock(null, null, null).Object; + var mockAIContextProvider = new Mock(null, null, null).Object; var original = new ChatClientAgentOptions() { @@ -161,8 +161,8 @@ public class ChatClientAgentOptionsTests public void Clone_WithoutProvidingChatOptions_ClonesCorrectly() { // Arrange - var mockChatHistoryProvider = new Mock(null, null).Object; - var mockAIContextProvider = new Mock(null, null).Object; + var mockChatHistoryProvider = new Mock(null, null, null).Object; + var mockAIContextProvider = new Mock(null, null, null).Object; var original = new ChatClientAgentOptions { diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs index 12446c89c0..9713a91c2c 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs @@ -488,7 +488,7 @@ public partial class ChatClientAgentTests }) .ReturnsAsync(new ChatResponse(responseMessages)); - var mockProvider = new Mock(null, null); + var mockProvider = new Mock(null, null, null); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -559,7 +559,7 @@ public partial class ChatClientAgentTests It.IsAny())) .Throws(new InvalidOperationException("downstream failure")); - var mockProvider = new Mock(null, null); + var mockProvider = new Mock(null, null, null); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -617,7 +617,7 @@ public partial class ChatClientAgentTests }) .ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")])); - var mockProvider = new Mock(null, null); + var mockProvider = new Mock(null, null, null); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -677,7 +677,7 @@ public partial class ChatClientAgentTests .ReturnsAsync(new ChatResponse(responseMessages)); // Provider 1: adds a system message and a tool - var mockProvider1 = new Mock(null, null); + var mockProvider1 = new Mock(null, null, null); mockProvider1.SetupGet(p => p.StateKey).Returns("Provider1"); mockProvider1 .Protected() @@ -696,7 +696,7 @@ public partial class ChatClientAgentTests // Provider 2: adds another system message and verifies it receives accumulated context from provider 1 AIContext? provider2ReceivedContext = null; - var mockProvider2 = new Mock(null, null); + var mockProvider2 = new Mock(null, null, null); mockProvider2.SetupGet(p => p.StateKey).Returns("Provider2"); mockProvider2 .Protected() @@ -784,7 +784,7 @@ public partial class ChatClientAgentTests It.IsAny())) .ThrowsAsync(new InvalidOperationException("downstream failure")); - var mockProvider1 = new Mock(null, null); + var mockProvider1 = new Mock(null, null, null); mockProvider1.SetupGet(p => p.StateKey).Returns("Provider1"); mockProvider1 .Protected() @@ -801,7 +801,7 @@ public partial class ChatClientAgentTests .Setup("InvokedCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) .Returns(new ValueTask()); - var mockProvider2 = new Mock(null, null); + var mockProvider2 = new Mock(null, null, null); mockProvider2.SetupGet(p => p.StateKey).Returns("Provider2"); mockProvider2 .Protected() @@ -869,7 +869,7 @@ public partial class ChatClientAgentTests }) .Returns(ToAsyncEnumerableAsync(responseUpdates)); - var mockProvider1 = new Mock(null, null); + var mockProvider1 = new Mock(null, null, null); mockProvider1.SetupGet(p => p.StateKey).Returns("Provider1"); mockProvider1 .Protected() @@ -886,7 +886,7 @@ public partial class ChatClientAgentTests .Setup("InvokedCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) .Returns(new ValueTask()); - var mockProvider2 = new Mock(null, null); + var mockProvider2 = new Mock(null, null, null); mockProvider2.SetupGet(p => p.StateKey).Returns("Provider2"); mockProvider2 .Protected() @@ -1828,7 +1828,7 @@ public partial class ChatClientAgentTests }) .Returns(ToAsyncEnumerableAsync(responseUpdates)); - var mockProvider = new Mock(null, null); + var mockProvider = new Mock(null, null, null); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -1907,7 +1907,7 @@ public partial class ChatClientAgentTests It.IsAny())) .Throws(new InvalidOperationException("downstream failure")); - var mockProvider = new Mock(null, null); + var mockProvider = new Mock(null, null, null); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs index 64835f2b2f..ebb1791dfd 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs @@ -338,7 +338,7 @@ public class ChatClientAgent_BackgroundResponsesTests List capturedMessages = []; // Create a mock chat history provider that would normally provide messages - var mockChatHistoryProvider = new Mock(null, null); + var mockChatHistoryProvider = new Mock(null, null, null); mockChatHistoryProvider.SetupGet(p => p.StateKey).Returns("ChatHistoryProvider"); mockChatHistoryProvider .Protected() @@ -346,7 +346,7 @@ public class ChatClientAgent_BackgroundResponsesTests .ReturnsAsync([new(ChatRole.User, "Message from chat history provider")]); // Create a mock AI context provider that would normally provide context - var mockContextProvider = new Mock(null, null); + var mockContextProvider = new Mock(null, null, null); mockContextProvider.SetupGet(p => p.StateKey).Returns("Provider1"); mockContextProvider .Protected() @@ -407,7 +407,7 @@ public class ChatClientAgent_BackgroundResponsesTests List capturedMessages = []; // Create a mock chat history provider that would normally provide messages - var mockChatHistoryProvider = new Mock(null, null); + var mockChatHistoryProvider = new Mock(null, null, null); mockChatHistoryProvider.SetupGet(p => p.StateKey).Returns("ChatHistoryProvider"); mockChatHistoryProvider .Protected() @@ -415,7 +415,7 @@ public class ChatClientAgent_BackgroundResponsesTests .ReturnsAsync([new(ChatRole.User, "Message from chat history provider")]); // Create a mock AI context provider that would normally provide context - var mockContextProvider = new Mock(null, null); + var mockContextProvider = new Mock(null, null, null); mockContextProvider.SetupGet(p => p.StateKey).Returns("Provider1"); mockContextProvider .Protected() @@ -638,7 +638,7 @@ public class ChatClientAgent_BackgroundResponsesTests .Returns(ToAsyncEnumerableAsync(returnUpdates)); List capturedMessagesAddedToProvider = []; - var mockChatHistoryProvider = new Mock(null, null); + var mockChatHistoryProvider = new Mock(null, null, null); mockChatHistoryProvider.SetupGet(p => p.StateKey).Returns("ChatHistoryProvider"); mockChatHistoryProvider .Protected() @@ -647,7 +647,7 @@ public class ChatClientAgent_BackgroundResponsesTests .Returns(new ValueTask()); AIContextProvider.InvokedContext? capturedInvokedContext = null; - var mockContextProvider = new Mock(null, null); + var mockContextProvider = new Mock(null, null, null); mockContextProvider.SetupGet(p => p.StateKey).Returns("Provider1"); mockContextProvider .Protected() @@ -702,7 +702,7 @@ public class ChatClientAgent_BackgroundResponsesTests .Returns(ToAsyncEnumerableAsync(Array.Empty())); List capturedMessagesAddedToProvider = []; - var mockChatHistoryProvider = new Mock(null, null); + var mockChatHistoryProvider = new Mock(null, null, null); mockChatHistoryProvider.SetupGet(p => p.StateKey).Returns("ChatHistoryProvider"); mockChatHistoryProvider .Protected() @@ -711,7 +711,7 @@ public class ChatClientAgent_BackgroundResponsesTests .Returns(new ValueTask()); AIContextProvider.InvokedContext? capturedInvokedContext = null; - var mockContextProvider = new Mock(null, null); + var mockContextProvider = new Mock(null, null, null); mockContextProvider.SetupGet(p => p.StateKey).Returns("Provider1"); mockContextProvider .Protected() diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatHistoryManagementTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatHistoryManagementTests.cs index 4d8326269a..59062cf49f 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatHistoryManagementTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatHistoryManagementTests.cs @@ -185,7 +185,7 @@ public class ChatClientAgent_ChatHistoryManagementTests It.IsAny(), It.IsAny())).ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")])); - Mock mockChatHistoryProvider = new(null, null); + Mock mockChatHistoryProvider = new(null, null, null); mockChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -240,7 +240,7 @@ public class ChatClientAgent_ChatHistoryManagementTests It.IsAny(), It.IsAny())).Throws(new InvalidOperationException("Test Error")); - Mock mockChatHistoryProvider = new(null, null); + Mock mockChatHistoryProvider = new(null, null, null); mockChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -429,7 +429,7 @@ public class ChatClientAgent_ChatHistoryManagementTests It.IsAny())).ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")])); // Arrange a chat history provider to override the factory provided one. - Mock mockOverrideChatHistoryProvider = new(null, null); + Mock mockOverrideChatHistoryProvider = new(null, null, null); mockOverrideChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -442,7 +442,7 @@ public class ChatClientAgent_ChatHistoryManagementTests // Arrange a chat history provider to provide to the agent at construction time. // This one shouldn't be used since it is being overridden. - Mock mockAgentOptionsChatHistoryProvider = new(null, null); + Mock mockAgentOptionsChatHistoryProvider = new(null, null, null); mockAgentOptionsChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Data/TextSearchProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Data/TextSearchProviderTests.cs index 46c56fc483..a0d6bbb35f 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Data/TextSearchProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Data/TextSearchProviderTests.cs @@ -467,7 +467,7 @@ public sealed class TextSearchProviderTests { RecentMessageMemoryLimit = 10, RecentMessageRolesIncluded = [ChatRole.User, ChatRole.System], - StorageInputMessageFilter = messages => messages // No filtering - store everything + StorageInputRequestMessageFilter = messages => messages // No filtering - store everything }; string? capturedInput = null; Task> SearchDelegateAsync(string input, CancellationToken ct) diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Memory/ChatHistoryMemoryProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Memory/ChatHistoryMemoryProviderTests.cs index ff5d709202..a0657d5a47 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Memory/ChatHistoryMemoryProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Memory/ChatHistoryMemoryProviderTests.cs @@ -687,7 +687,7 @@ public class ChatHistoryMemoryProviderTests _ => new ChatHistoryMemoryProvider.State(new ChatHistoryMemoryProviderScope { UserId = "UID" }), options: new ChatHistoryMemoryProviderOptions { - StorageInputMessageFilter = messages => messages // No filtering - store everything + StorageInputRequestMessageFilter = messages => messages // No filtering - store everything }); var requestMessages = new List From c37f74f898c594b28b941ec12c41b0f72e09fca2 Mon Sep 17 00:00:00 2001 From: Eduard van Valkenburg Date: Tue, 3 Mar 2026 13:29:32 +0100 Subject: [PATCH 34/59] Python: Add Azure Cosmos history provider package (#4271) * Created cosmos history provider * add marker * Python: address Cosmos PR feedback - address provider/test/sample review feedback and cleanup typing - add cosmos integration test coverage and skip gating - add dedicated cosmos emulator jobs to python merge/integration workflows - switch cosmos workflow execution to package poe integration-tests task Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: handle empty Cosmos session id - replace default partition fallback for empty session_id - log warning and generate GUID when session_id is empty - update unit tests to validate GUID fallback behavior Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix sample * fix cross partition query --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../workflows/python-integration-tests.yml | 48 +- .github/workflows/python-merge-tests.yml | 62 ++ python/packages/azure-cosmos/AGENTS.md | 28 + python/packages/azure-cosmos/LICENSE | 21 + python/packages/azure-cosmos/README.md | 38 + .../agent_framework_azure_cosmos/__init__.py | 15 + .../_history_provider.py | 269 +++++ python/packages/azure-cosmos/pyproject.toml | 93 ++ .../packages/azure-cosmos/samples/README.md | 20 + .../packages/azure-cosmos/samples/__init__.py | 3 + .../samples/cosmos_history_provider.py | 100 ++ .../tests/test_cosmos_history_provider.py | 409 ++++++++ python/pyproject.toml | 3 + python/uv.lock | 952 ++++++++++-------- 14 files changed, 1616 insertions(+), 445 deletions(-) create mode 100644 python/packages/azure-cosmos/AGENTS.md create mode 100644 python/packages/azure-cosmos/LICENSE create mode 100644 python/packages/azure-cosmos/README.md create mode 100644 python/packages/azure-cosmos/agent_framework_azure_cosmos/__init__.py create mode 100644 python/packages/azure-cosmos/agent_framework_azure_cosmos/_history_provider.py create mode 100644 python/packages/azure-cosmos/pyproject.toml create mode 100644 python/packages/azure-cosmos/samples/README.md create mode 100644 python/packages/azure-cosmos/samples/__init__.py create mode 100644 python/packages/azure-cosmos/samples/cosmos_history_provider.py create mode 100644 python/packages/azure-cosmos/tests/test_cosmos_history_provider.py diff --git a/.github/workflows/python-integration-tests.yml b/.github/workflows/python-integration-tests.yml index 56525b442e..df0e0cdc09 100644 --- a/.github/workflows/python-integration-tests.yml +++ b/.github/workflows/python-integration-tests.yml @@ -247,6 +247,51 @@ jobs: timeout-minutes: 15 run: uv run --directory packages/azure-ai poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5 + # Azure Cosmos integration tests + python-tests-cosmos: + name: Python Integration Tests - Cosmos + runs-on: ubuntu-latest + environment: integration + timeout-minutes: 60 + services: + cosmosdb: + image: mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator:vnext-preview + ports: + - 8081:8081 + env: + AZURE_COSMOS_ENDPOINT: "http://localhost:8081/" + # Static Azure Cosmos DB emulator key (documented): https://learn.microsoft.com/en-us/azure/cosmos-db/emulator + AZURE_COSMOS_KEY: "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==" + AZURE_COSMOS_DATABASE_NAME: "agent-framework-cosmos-it-db" + AZURE_COSMOS_CONTAINER_NAME: "agent-framework-cosmos-it-container" + defaults: + run: + working-directory: python + steps: + - uses: actions/checkout@v6 + with: + ref: ${{ inputs.checkout-ref }} + persist-credentials: false + - name: Set up python and install the project + id: python-setup + uses: ./.github/actions/python-setup + with: + python-version: ${{ env.UV_PYTHON }} + os: ${{ runner.os }} + - name: Wait for Cosmos DB emulator + run: | + for i in {1..60}; do + if curl --silent --show-error http://localhost:8081/ > /dev/null; then + echo "Cosmos DB emulator is ready." + exit 0 + fi + sleep 2 + done + echo "Cosmos DB emulator did not become ready in time." >&2 + exit 1 + - name: Test with pytest (Cosmos integration) + run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5 + python-integration-tests-check: if: always() runs-on: ubuntu-latest @@ -257,7 +302,8 @@ jobs: python-tests-azure-openai, python-tests-misc-integration, python-tests-functions, - python-tests-azure-ai + python-tests-azure-ai, + python-tests-cosmos ] steps: - name: Fail workflow if tests failed diff --git a/.github/workflows/python-merge-tests.yml b/.github/workflows/python-merge-tests.yml index 6d169948db..e3fe1623d6 100644 --- a/.github/workflows/python-merge-tests.yml +++ b/.github/workflows/python-merge-tests.yml @@ -38,6 +38,7 @@ jobs: miscChanged: ${{ steps.filter.outputs.misc }} functionsChanged: ${{ steps.filter.outputs.functions }} azureAiChanged: ${{ steps.filter.outputs.azure-ai }} + cosmosChanged: ${{ steps.filter.outputs.cosmos }} steps: - uses: actions/checkout@v6 - uses: dorny/paths-filter@v3 @@ -67,6 +68,8 @@ jobs: - 'python/packages/durabletask/**' azure-ai: - 'python/packages/azure-ai/**' + cosmos: + - 'python/packages/azure-cosmos/**' # run only if 'python' files were changed - name: python tests if: steps.filter.outputs.python == 'true' @@ -390,6 +393,64 @@ jobs: # TODO: Add python-tests-lab + # Azure Cosmos integration tests + python-tests-cosmos: + name: Python Tests - Cosmos Integration + needs: paths-filter + if: > + github.event_name != 'pull_request' && + needs.paths-filter.outputs.pythonChanges == 'true' && + (github.event_name != 'merge_group' || + needs.paths-filter.outputs.cosmosChanged == 'true' || + needs.paths-filter.outputs.coreChanged == 'true') + runs-on: ubuntu-latest + environment: integration + services: + cosmosdb: + image: mcr.microsoft.com/cosmosdb/linux/azure-cosmos-emulator:vnext-preview + ports: + - 8081:8081 + env: + AZURE_COSMOS_ENDPOINT: "http://localhost:8081/" + # Static Azure Cosmos DB emulator key (documented): https://learn.microsoft.com/en-us/azure/cosmos-db/emulator + AZURE_COSMOS_KEY: "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw==" + AZURE_COSMOS_DATABASE_NAME: "agent-framework-cosmos-it-db" + AZURE_COSMOS_CONTAINER_NAME: "agent-framework-cosmos-it-container" + defaults: + run: + working-directory: python + steps: + - uses: actions/checkout@v6 + - name: Set up python and install the project + id: python-setup + uses: ./.github/actions/python-setup + with: + python-version: ${{ env.UV_PYTHON }} + os: ${{ runner.os }} + - name: Wait for Cosmos DB emulator + run: | + for i in {1..60}; do + if curl --silent --show-error http://localhost:8081/ > /dev/null; then + echo "Cosmos DB emulator is ready." + exit 0 + fi + sleep 2 + done + echo "Cosmos DB emulator did not become ready in time." >&2 + exit 1 + - name: Test with pytest (Cosmos integration) + run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5 + working-directory: ./python + - name: Surface failing tests + if: always() + uses: pmeier/pytest-results-action@v0.7.2 + with: + path: ./python/**.xml + summary: true + display-options: fEX + fail-on-empty: false + title: Cosmos integration test results + python-integration-tests-check: if: always() runs-on: ubuntu-latest @@ -401,6 +462,7 @@ jobs: python-tests-misc-integration, python-tests-functions, python-tests-azure-ai, + python-tests-cosmos, ] steps: - name: Fail workflow if tests failed diff --git a/python/packages/azure-cosmos/AGENTS.md b/python/packages/azure-cosmos/AGENTS.md new file mode 100644 index 0000000000..7cb0c2c717 --- /dev/null +++ b/python/packages/azure-cosmos/AGENTS.md @@ -0,0 +1,28 @@ +# Azure Cosmos DB Package (agent-framework-azure-cosmos) + +Azure Cosmos DB history provider integration for Agent Framework. + +## Main Classes + +- **`CosmosHistoryProvider`** - Persistent conversation history storage backed by Azure Cosmos DB + +## Usage + +```python +from agent_framework_azure_cosmos import CosmosHistoryProvider + +provider = CosmosHistoryProvider( + endpoint="https://.documents.azure.com:443/", + credential="", + database_name="agent-framework", + container_name="chat-history", +) +``` + +Container name is configured on the provider. `session_id` is used as the partition key. + +## Import Path + +```python +from agent_framework_azure_cosmos import CosmosHistoryProvider +``` diff --git a/python/packages/azure-cosmos/LICENSE b/python/packages/azure-cosmos/LICENSE new file mode 100644 index 0000000000..9e841e7a26 --- /dev/null +++ b/python/packages/azure-cosmos/LICENSE @@ -0,0 +1,21 @@ + MIT License + + Copyright (c) Microsoft Corporation. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in all + copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE diff --git a/python/packages/azure-cosmos/README.md b/python/packages/azure-cosmos/README.md new file mode 100644 index 0000000000..198376bcbb --- /dev/null +++ b/python/packages/azure-cosmos/README.md @@ -0,0 +1,38 @@ +# Get Started with Microsoft Agent Framework Azure Cosmos DB + +Please install this package via pip: + +```bash +pip install agent-framework-azure-cosmos --pre +``` + +## Azure Cosmos DB History Provider + +The Azure Cosmos DB integration provides `CosmosHistoryProvider` for persistent conversation history storage. + +### Basic Usage Example + +```python +from azure.identity.aio import DefaultAzureCredential +from agent_framework_azure_cosmos import CosmosHistoryProvider + +provider = CosmosHistoryProvider( + endpoint="https://.documents.azure.com:443/", + credential=DefaultAzureCredential(), + database_name="agent-framework", + container_name="chat-history", +) +``` + +Credentials follow the same pattern used by other Azure connectors in the repository: + +- Pass a credential object (for example `DefaultAzureCredential`) +- Or pass a key string directly +- Or set `AZURE_COSMOS_KEY` in the environment + +Container naming behavior: + +- Container name is configured on the provider (`container_name` or `AZURE_COSMOS_CONTAINER_NAME`) +- `session_id` is used as the Cosmos partition key for reads/writes + +See `samples/cosmos_history_provider.py` for a runnable package-local example. diff --git a/python/packages/azure-cosmos/agent_framework_azure_cosmos/__init__.py b/python/packages/azure-cosmos/agent_framework_azure_cosmos/__init__.py new file mode 100644 index 0000000000..5bcfb3928b --- /dev/null +++ b/python/packages/azure-cosmos/agent_framework_azure_cosmos/__init__.py @@ -0,0 +1,15 @@ +# Copyright (c) Microsoft. All rights reserved. + +import importlib.metadata + +from ._history_provider import CosmosHistoryProvider + +try: + __version__ = importlib.metadata.version(__name__) +except importlib.metadata.PackageNotFoundError: + __version__ = "0.0.0" # Fallback for development mode + +__all__ = [ + "CosmosHistoryProvider", + "__version__", +] diff --git a/python/packages/azure-cosmos/agent_framework_azure_cosmos/_history_provider.py b/python/packages/azure-cosmos/agent_framework_azure_cosmos/_history_provider.py new file mode 100644 index 0000000000..5b802bde9f --- /dev/null +++ b/python/packages/azure-cosmos/agent_framework_azure_cosmos/_history_provider.py @@ -0,0 +1,269 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Azure Cosmos DB history provider.""" + +from __future__ import annotations + +import logging +import time +import uuid +from collections.abc import Sequence +from typing import Any, ClassVar, TypedDict + +from agent_framework import AGENT_FRAMEWORK_USER_AGENT, Message +from agent_framework._sessions import BaseHistoryProvider +from agent_framework._settings import SecretString, load_settings +from agent_framework.azure._entra_id_authentication import AzureCredentialTypes +from azure.cosmos import PartitionKey +from azure.cosmos.aio import ContainerProxy, CosmosClient, DatabaseProxy + +logger = logging.getLogger(__name__) + + +class AzureCosmosHistorySettings(TypedDict, total=False): + """Settings for CosmosHistoryProvider resolved from args and environment.""" + + endpoint: str | None + database_name: str | None + container_name: str | None + key: SecretString | None + + +class CosmosHistoryProvider(BaseHistoryProvider): + """Azure Cosmos DB-backed history provider using BaseHistoryProvider hooks.""" + + DEFAULT_SOURCE_ID: ClassVar[str] = "azure_cosmos_history" + _BATCH_OPERATION_LIMIT: ClassVar[int] = 100 + + def __init__( + self, + source_id: str = DEFAULT_SOURCE_ID, + *, + load_messages: bool = True, + store_outputs: bool = True, + store_inputs: bool = True, + store_context_messages: bool = False, + store_context_from: set[str] | None = None, + endpoint: str | None = None, + database_name: str | None = None, + container_name: str | None = None, + credential: str | AzureCredentialTypes | None = None, + cosmos_client: CosmosClient | None = None, + container_client: ContainerProxy | None = None, + env_file_path: str | None = None, + env_file_encoding: str | None = None, + ) -> None: + """Initialize the Azure Cosmos DB history provider. + + Args: + source_id: Unique identifier for this provider instance. + load_messages: Whether to load messages before invocation. + store_outputs: Whether to store response messages. + store_inputs: Whether to store input messages. + store_context_messages: Whether to store context from other providers. + store_context_from: If set, only store context from these source_ids. + endpoint: Cosmos DB account endpoint. + Can be set via ``AZURE_COSMOS_ENDPOINT``. + database_name: Cosmos DB database name. + Can be set via ``AZURE_COSMOS_DATABASE_NAME``. + container_name: Cosmos DB container name. + Can be set via ``AZURE_COSMOS_CONTAINER_NAME``. + credential: Credential to authenticate with Cosmos DB. + Supports key string and Azure credential objects. + Can be set via ``AZURE_COSMOS_KEY`` when omitted. + cosmos_client: Pre-created Cosmos async client. + container_client: Pre-created Cosmos container client for fixed-container usage. + env_file_path: Path to environment file for loading settings. + env_file_encoding: Encoding of the environment file. + """ + super().__init__( + source_id, + load_messages=load_messages, + store_outputs=store_outputs, + store_inputs=store_inputs, + store_context_messages=store_context_messages, + store_context_from=store_context_from, + ) + + self._cosmos_client: CosmosClient | None = cosmos_client + self._container_proxy: ContainerProxy | None = container_client + self._owns_client = False + self._database_client: DatabaseProxy | None = None + + if self._container_proxy is not None: + self.database_name: str = database_name or "" + self.container_name: str = container_name or "" + return + + required_fields: list[str] = ["database_name", "container_name"] + if cosmos_client is None: + required_fields.append("endpoint") + if credential is None: + required_fields.append("key") + + settings = load_settings( + AzureCosmosHistorySettings, + env_prefix="AZURE_COSMOS_", + required_fields=required_fields, + endpoint=endpoint, + database_name=database_name, + container_name=container_name, + key=credential if isinstance(credential, str) else None, + env_file_path=env_file_path, + env_file_encoding=env_file_encoding, + ) + self.database_name = settings["database_name"] # type: ignore[assignment] + self.container_name = settings["container_name"] # type: ignore[assignment] + if self._cosmos_client is None: + self._cosmos_client = CosmosClient( + url=settings["endpoint"], # type: ignore[arg-type] + credential=credential or settings["key"].get_secret_value(), # type: ignore[arg-type,union-attr] + user_agent_suffix=AGENT_FRAMEWORK_USER_AGENT, + ) + self._owns_client = True + + self._database_client = self._cosmos_client.get_database_client(self.database_name) + + + async def get_messages(self, session_id: str | None, **kwargs: Any) -> list[Message]: + """Retrieve stored messages for this session from Azure Cosmos DB.""" + await self._ensure_container_proxy() + session_key = self._session_partition_key(session_id) + + query = ( + "SELECT c.message FROM c " + "WHERE c.session_id = @session_id AND c.source_id = @source_id " + "ORDER BY c.sort_key ASC" + ) + parameters: list[dict[str, object]] = [ + {"name": "@session_id", "value": session_key}, + {"name": "@source_id", "value": self.source_id}, + ] + items = self._container_proxy.query_items( # type: ignore[union-attr] + query=query, parameters=parameters, partition_key=session_key + ) + + messages: list[Message] = [] + async for item in items: + message_payload = item.get("message") + if isinstance(message_payload, dict): + messages.append(Message.from_dict(message_payload)) + + return messages + + async def save_messages(self, session_id: str | None, messages: Sequence[Message], **kwargs: Any) -> None: + """Persist messages for this session to Azure Cosmos DB.""" + if not messages: + return + + await self._ensure_container_proxy() + session_key = self._session_partition_key(session_id) + + base_sort_key = time.time_ns() + operations: list[tuple[str, tuple[dict[str, Any]]]] = [] + for index, message in enumerate(messages): + document = { + "id": str(uuid.uuid4()), + "session_id": session_key, + "sort_key": base_sort_key + index, + "source_id": self.source_id, + "message": message.to_dict(), + } + operations.append(("upsert", (document,))) + + for start in range(0, len(operations), self._BATCH_OPERATION_LIMIT): + batch = operations[start : start + self._BATCH_OPERATION_LIMIT] + await self._container_proxy.execute_item_batch( # type: ignore[union-attr] + batch_operations=batch, partition_key=session_key + ) + + async def clear(self, session_id: str | None) -> None: + """Clear all messages for a session from Azure Cosmos DB.""" + await self._ensure_container_proxy() + session_key = self._session_partition_key(session_id) + query = "SELECT c.id FROM c WHERE c.session_id = @session_id AND c.source_id = @source_id" + parameters: list[dict[str, object]] = [ + {"name": "@session_id", "value": session_key}, + {"name": "@source_id", "value": self.source_id}, + ] + items = self._container_proxy.query_items( # type: ignore[union-attr] + query=query, parameters=parameters, partition_key=session_key + ) + + delete_operations: list[tuple[str, tuple[str]]] = [] + async for item in items: + item_id = item.get("id") + if isinstance(item_id, str): + delete_operations.append(("delete", (item_id,))) + + for start in range(0, len(delete_operations), self._BATCH_OPERATION_LIMIT): + batch = delete_operations[start : start + self._BATCH_OPERATION_LIMIT] + await self._container_proxy.execute_item_batch( # type: ignore[union-attr] + batch_operations=batch, partition_key=session_key + ) + + async def list_sessions(self) -> list[str]: + """List all session IDs stored in this provider's Cosmos container.""" + await self._ensure_container_proxy() + query = ( + "SELECT DISTINCT VALUE c.session_id FROM c WHERE c.source_id = @source_id" + ) + parameters: list[dict[str, object]] = [ + {"name": "@source_id", "value": self.source_id} + ] + # without a partition key, it is automatically a cross-partition query + items = self._container_proxy.query_items(query=query, parameters=parameters) # type: ignore[union-attr] + + session_ids: set[str] = set() + async for item in items: + if isinstance(item, str): + session_ids.add(item) + return sorted(session_ids) + + async def close(self) -> None: + """Close the underlying Cosmos client when this provider owns it.""" + if self._owns_client and self._cosmos_client is not None: + await self._cosmos_client.close() + + async def __aenter__(self) -> CosmosHistoryProvider: + """Async context manager entry.""" + return self + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: Any, + ) -> None: + """Async context manager exit.""" + try: + await self.close() + except Exception: + if exc_type is None: + raise + + async def _ensure_container_proxy(self) -> None: + """Get or create the Cosmos DB container for storing messages.""" + if self._container_proxy is not None: + return + if self._database_client is None: + raise RuntimeError("Cosmos database client is not initialized.") + + self._container_proxy = ( + await self._database_client.create_container_if_not_exists( + id=self.container_name, + partition_key=PartitionKey(path="/session_id"), + ) + ) + + @staticmethod + def _session_partition_key(session_id: str | None) -> str: + if session_id: + return session_id + + generated_session_id = str(uuid.uuid4()) + logger.warning( + "Received empty session_id; generated temporary session id '%s' for Cosmos partition key.", + generated_session_id, + ) + return generated_session_id diff --git a/python/packages/azure-cosmos/pyproject.toml b/python/packages/azure-cosmos/pyproject.toml new file mode 100644 index 0000000000..8d48e43c05 --- /dev/null +++ b/python/packages/azure-cosmos/pyproject.toml @@ -0,0 +1,93 @@ +[project] +name = "agent-framework-azure-cosmos" +description = "Azure Cosmos DB history provider integration for Microsoft Agent Framework." +authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] +readme = "README.md" +requires-python = ">=3.10" +version = "1.0.0b260219" +license-files = ["LICENSE"] +urls.homepage = "https://aka.ms/agent-framework" +urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" +urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=tag%3Apython-1&expanded=true" +urls.issues = "https://github.com/microsoft/agent-framework/issues" +classifiers = [ + "License :: OSI Approved :: MIT License", + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Programming Language :: Python :: 3.14", + "Typing :: Typed", +] +dependencies = [ + "agent-framework-core>=1.0.0rc1", + "azure-cosmos>=4.9.0", +] + +[tool.uv] +prerelease = "if-necessary-or-explicit" +environments = [ + "sys_platform == 'darwin'", + "sys_platform == 'linux'", + "sys_platform == 'win32'" +] + +[tool.uv-dynamic-versioning] +fallback-version = "0.0.0" + +[tool.pytest.ini_options] +testpaths = 'tests' +addopts = "-ra -q -r fEX" +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "function" +filterwarnings = [ + "ignore:Support for class-based `config` is deprecated:DeprecationWarning:pydantic.*" +] +timeout = 120 +markers = [ + "integration: marks tests as integration tests that require external services", +] + +[tool.ruff] +extend = "../../pyproject.toml" + +[tool.coverage.run] +omit = [ + "**/__init__.py" +] + +[tool.pyright] +extends = "../../pyproject.toml" + +[tool.mypy] +plugins = ['pydantic.mypy'] +strict = true +python_version = "3.10" +ignore_missing_imports = true +disallow_untyped_defs = true +no_implicit_optional = true +check_untyped_defs = true +warn_return_any = true +show_error_codes = true +warn_unused_ignores = false +disallow_incomplete_defs = true +disallow_untyped_decorators = true + +[tool.bandit] +targets = ["agent_framework_azure_cosmos"] +exclude_dirs = ["tests"] + +[tool.poe] +executor.type = "uv" +include = "../../shared_tasks.toml" +[tool.poe.tasks] +mypy = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_azure_cosmos" +test = "pytest --cov=agent_framework_azure_cosmos --cov-report=term-missing:skip-covered tests" +integration-tests = "pytest tests/test_cosmos_history_provider.py -m integration" + +[build-system] +requires = ["flit-core >= 3.11,<4.0"] +build-backend = "flit_core.buildapi" diff --git a/python/packages/azure-cosmos/samples/README.md b/python/packages/azure-cosmos/samples/README.md new file mode 100644 index 0000000000..082a9c2cfe --- /dev/null +++ b/python/packages/azure-cosmos/samples/README.md @@ -0,0 +1,20 @@ +# Azure Cosmos DB Package Samples + +This folder contains samples for `agent-framework-azure-cosmos`. + +| File | Description | +| --- | --- | +| [`cosmos_history_provider.py`](cosmos_history_provider.py) | Demonstrates an Agent using `CosmosHistoryProvider` with `AzureOpenAIResponsesClient` (project endpoint), provider-configured container name, and `session_id` partitioning. | + +## Prerequisites + +- `AZURE_COSMOS_ENDPOINT` +- `AZURE_COSMOS_DATABASE_NAME` +- `AZURE_COSMOS_CONTAINER_NAME` +- `AZURE_COSMOS_KEY` (or equivalent credential flow) + +## Run + +```bash +uv run --directory packages/azure-cosmos python samples/cosmos_history_provider.py +``` diff --git a/python/packages/azure-cosmos/samples/__init__.py b/python/packages/azure-cosmos/samples/__init__.py new file mode 100644 index 0000000000..516b9492f6 --- /dev/null +++ b/python/packages/azure-cosmos/samples/__init__.py @@ -0,0 +1,3 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Samples for the Azure Cosmos history provider package.""" diff --git a/python/packages/azure-cosmos/samples/cosmos_history_provider.py b/python/packages/azure-cosmos/samples/cosmos_history_provider.py new file mode 100644 index 0000000000..ea476f9837 --- /dev/null +++ b/python/packages/azure-cosmos/samples/cosmos_history_provider.py @@ -0,0 +1,100 @@ +# Copyright (c) Microsoft. All rights reserved. +# ruff: noqa: T201 + +import asyncio +import os + +from agent_framework.azure import AzureOpenAIResponsesClient +from agent_framework_azure_cosmos import CosmosHistoryProvider +from azure.identity.aio import AzureCliCredential +from dotenv import load_dotenv + +# Load environment variables from .env file. +load_dotenv() + +""" +This sample demonstrates CosmosHistoryProvider as an agent context provider. + +Key components: +- AzureOpenAIResponsesClient configured with an Azure AI project endpoint +- CosmosHistoryProvider configured for Cosmos DB-backed message history +- Provider-configured container name with session_id as partition key + +Environment variables: + AZURE_AI_PROJECT_ENDPOINT + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AZURE_COSMOS_ENDPOINT + AZURE_COSMOS_DATABASE_NAME + AZURE_COSMOS_CONTAINER_NAME +Optional: + AZURE_COSMOS_KEY +""" + + + +async def main() -> None: + """Run the Cosmos history provider sample with an Agent.""" + project_endpoint = os.getenv("AZURE_AI_PROJECT_ENDPOINT") + deployment_name = os.getenv("AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME") + cosmos_endpoint = os.getenv("AZURE_COSMOS_ENDPOINT") + cosmos_database_name = os.getenv("AZURE_COSMOS_DATABASE_NAME") + cosmos_container_name = os.getenv("AZURE_COSMOS_CONTAINER_NAME") + cosmos_key = os.getenv("AZURE_COSMOS_KEY") + + if ( + not project_endpoint + or not deployment_name + or not cosmos_endpoint + or not cosmos_database_name + or not cosmos_container_name + ): + print( + "Please set AZURE_AI_PROJECT_ENDPOINT, AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME, " + "AZURE_COSMOS_ENDPOINT, AZURE_COSMOS_DATABASE_NAME, and AZURE_COSMOS_CONTAINER_NAME." + ) + return + + # 1. Create an Azure credential and Responses client using project endpoint auth. + async with AzureCliCredential() as credential: + client = AzureOpenAIResponsesClient( + project_endpoint=project_endpoint, + deployment_name=deployment_name, + credential=credential, + ) + + # 2. Create an agent that uses the history provider as a context provider. + async with ( + CosmosHistoryProvider( + endpoint=cosmos_endpoint, + database_name=cosmos_database_name, + container_name=cosmos_container_name, + credential=cosmos_key or credential, + ) as history_provider, + client.as_agent( + name="CosmosHistoryAgent", + instructions="You are a helpful assistant that remembers prior turns.", + context_providers=[history_provider], + default_options={"store": False}, + ) as agent, + ): + # 3. Create a session (session_id is used as the partition key). + session = agent.create_session() + + # 4. Run a multi-turn conversation; history is persisted by CosmosHistoryProvider. + response1 = await agent.run("My name is Ada and I enjoy distributed systems.", session=session) + print(f"Assistant: {response1.text}") + + response2 = await agent.run("What do you remember about me?", session=session) + print(f"Assistant: {response2.text}") + print(f"Container: {history_provider.container_name}") + + +if __name__ == "__main__": + asyncio.run(main()) + +""" +Sample output: +Assistant: Nice to meet you, Ada! Distributed systems are a fascinating area. +Assistant: You told me your name is Ada and that you enjoy distributed systems. +Container: +""" diff --git a/python/packages/azure-cosmos/tests/test_cosmos_history_provider.py b/python/packages/azure-cosmos/tests/test_cosmos_history_provider.py new file mode 100644 index 0000000000..33d7bf2414 --- /dev/null +++ b/python/packages/azure-cosmos/tests/test_cosmos_history_provider.py @@ -0,0 +1,409 @@ +# Copyright (c) Microsoft. All rights reserved. + +from __future__ import annotations + +import os +import uuid +from collections.abc import AsyncIterator +from contextlib import suppress +from typing import Any +from unittest.mock import AsyncMock, MagicMock, patch + +import agent_framework_azure_cosmos._history_provider as history_provider_module +import pytest +from agent_framework import AgentResponse, Message +from agent_framework._sessions import AgentSession, SessionContext +from agent_framework.exceptions import SettingNotFoundError +from agent_framework_azure_cosmos._history_provider import CosmosHistoryProvider +from azure.cosmos.aio import CosmosClient +from azure.cosmos.exceptions import CosmosResourceNotFoundError + +skip_if_cosmos_integration_tests_disabled = pytest.mark.skipif( + any( + os.getenv(name, "") == "" + for name in ( + "AZURE_COSMOS_ENDPOINT", + "AZURE_COSMOS_KEY", + "AZURE_COSMOS_DATABASE_NAME", + "AZURE_COSMOS_CONTAINER_NAME", + ) + ), + reason=( + "AZURE_COSMOS_ENDPOINT, AZURE_COSMOS_KEY, AZURE_COSMOS_DATABASE_NAME, and " + "AZURE_COSMOS_CONTAINER_NAME are required for Cosmos integration tests." + ), +) + + +def _to_async_iter(items: list[Any]) -> AsyncIterator[Any]: + async def _iterator() -> AsyncIterator[Any]: + for item in items: + yield item + + return _iterator() + + +@pytest.fixture +def mock_container() -> MagicMock: + container = MagicMock() + container.query_items = MagicMock(return_value=_to_async_iter([])) + container.execute_item_batch = AsyncMock(return_value=[]) + return container + + +@pytest.fixture +def mock_cosmos_client(mock_container: MagicMock) -> MagicMock: + database_client = MagicMock() + database_client.create_container_if_not_exists = AsyncMock(return_value=mock_container) + + client = MagicMock() + client.get_database_client.return_value = database_client + client.close = AsyncMock() + return client + + +class TestCosmosHistoryProviderInit: + def test_uses_provided_container_client(self, mock_container: MagicMock) -> None: + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + assert provider.source_id == "mem" + assert provider.load_messages is True + assert provider.store_outputs is True + assert provider.store_inputs is True + assert provider.database_name == "" + assert provider.container_name == "" + + def test_uses_provided_cosmos_client(self, mock_cosmos_client: MagicMock) -> None: + provider = CosmosHistoryProvider( + source_id="mem", + cosmos_client=mock_cosmos_client, + database_name="db1", + container_name="history", + ) + + mock_cosmos_client.get_database_client.assert_called_once_with("db1") + assert provider.database_name == "db1" + assert provider.container_name == "history" + + def test_missing_required_settings_raises(self, monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.delenv("AZURE_COSMOS_ENDPOINT", raising=False) + monkeypatch.delenv("AZURE_COSMOS_DATABASE_NAME", raising=False) + monkeypatch.delenv("AZURE_COSMOS_CONTAINER_NAME", raising=False) + monkeypatch.delenv("AZURE_COSMOS_KEY", raising=False) + + with pytest.raises(SettingNotFoundError, match="database_name"): + CosmosHistoryProvider() + + def test_constructs_client_with_string_credential( + self, monkeypatch: pytest.MonkeyPatch, mock_cosmos_client: MagicMock + ) -> None: + mock_factory = MagicMock(return_value=mock_cosmos_client) + monkeypatch.setattr(history_provider_module, "CosmosClient", mock_factory) + + CosmosHistoryProvider( + endpoint="https://account.documents.azure.com:443/", + credential="key-123", + database_name="db1", + container_name="history", + ) + + mock_factory.assert_called_once() + kwargs = mock_factory.call_args.kwargs + assert kwargs["url"] == "https://account.documents.azure.com:443/" + assert kwargs["credential"] == "key-123" + + +class TestCosmosHistoryProviderContainerConfig: + async def test_provider_container_name_is_used(self, mock_cosmos_client: MagicMock) -> None: + provider = CosmosHistoryProvider( + source_id="mem", + cosmos_client=mock_cosmos_client, + database_name="db1", + container_name="custom-history", + ) + + await provider.get_messages("session-123") + + database_client = mock_cosmos_client.get_database_client.return_value + assert database_client.create_container_if_not_exists.await_count == 1 + kwargs = database_client.create_container_if_not_exists.await_args.kwargs + assert kwargs["id"] == "custom-history" + + +class TestCosmosHistoryProviderGetMessages: + async def test_returns_deserialized_messages(self, mock_container: MagicMock) -> None: + msg1 = Message(role="user", contents=["Hello"]) + msg2 = Message(role="assistant", contents=["Hi"]) + mock_container.query_items.return_value = _to_async_iter([ + {"message": msg1.to_dict()}, + {"message": msg2.to_dict()}, + ]) + + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + messages = await provider.get_messages("s1") + + assert len(messages) == 2 + assert messages[0].role == "user" + assert messages[0].text == "Hello" + assert messages[1].role == "assistant" + assert messages[1].text == "Hi" + query_kwargs = mock_container.query_items.call_args.kwargs + assert query_kwargs["partition_key"] == "s1" + assert query_kwargs["query"] == ( + "SELECT c.message FROM c " + "WHERE c.session_id = @session_id AND c.source_id = @source_id " + "ORDER BY c.sort_key ASC" + ) + assert query_kwargs["parameters"] == [ + {"name": "@session_id", "value": "s1"}, + {"name": "@source_id", "value": "mem"}, + ] + + async def test_empty_returns_empty(self, mock_container: MagicMock) -> None: + mock_container.query_items.return_value = _to_async_iter([]) + + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + messages = await provider.get_messages("s1") + + assert messages == [] + + async def test_none_session_id_generates_guid_partition_key( + self, mock_container: MagicMock, caplog: pytest.LogCaptureFixture + ) -> None: + mock_container.query_items.return_value = _to_async_iter([]) + + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + with caplog.at_level("WARNING"): + await provider.get_messages(None) + + query_kwargs = mock_container.query_items.call_args.kwargs + session_key = query_kwargs["partition_key"] + assert isinstance(session_key, str) + assert session_key != "" + assert session_key != "default" + uuid.UUID(session_key) + assert query_kwargs["parameters"] == [ + {"name": "@session_id", "value": session_key}, + {"name": "@source_id", "value": "mem"}, + ] + assert "Received empty session_id" in caplog.text + + async def test_skips_non_dict_message_payload(self, mock_container: MagicMock) -> None: + mock_container.query_items.return_value = _to_async_iter([{"message": "bad"}, {"message": None}]) + + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + messages = await provider.get_messages("s1") + + assert messages == [] + + +class TestCosmosHistoryProviderListSessions: + async def test_list_sessions_returns_unique_sorted_ids(self, mock_container: MagicMock) -> None: + mock_container.query_items.return_value = _to_async_iter(["s2", "s1", "s1", "s3"]) + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + + sessions = await provider.list_sessions() + + assert sessions == ["s1", "s2", "s3"] + kwargs = mock_container.query_items.call_args.kwargs + assert kwargs["query"] == "SELECT DISTINCT VALUE c.session_id FROM c WHERE c.source_id = @source_id" + assert kwargs["parameters"] == [{"name": "@source_id", "value": "mem"}] + + +class TestCosmosHistoryProviderSaveMessages: + async def test_saves_messages(self, mock_container: MagicMock) -> None: + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + messages = [Message(role="user", contents=["Hello"]), Message(role="assistant", contents=["Hi"])] + + await provider.save_messages("s1", messages) + + mock_container.execute_item_batch.assert_awaited_once() + batch_operations = mock_container.execute_item_batch.await_args.kwargs["batch_operations"] + assert len(batch_operations) == 2 + first_operation, first_args = batch_operations[0] + assert first_operation == "upsert" + first_document = first_args[0] + assert first_document["session_id"] == "s1" + assert first_document["message"]["role"] == "user" + assert mock_container.execute_item_batch.await_args.kwargs["partition_key"] == "s1" + + async def test_empty_messages_noop(self, mock_container: MagicMock) -> None: + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + + await provider.save_messages("s1", []) + + mock_container.execute_item_batch.assert_not_awaited() + + async def test_batches_when_message_count_exceeds_limit(self, mock_container: MagicMock) -> None: + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + messages = [Message(role="user", contents=[f"msg-{index}"]) for index in range(101)] + + await provider.save_messages("s1", messages) + + assert mock_container.execute_item_batch.await_count == 2 + first_call = mock_container.execute_item_batch.await_args_list[0].kwargs + second_call = mock_container.execute_item_batch.await_args_list[1].kwargs + assert len(first_call["batch_operations"]) == 100 + assert len(second_call["batch_operations"]) == 1 + assert first_call["partition_key"] == "s1" + assert second_call["partition_key"] == "s1" + + +class TestCosmosHistoryProviderClear: + async def test_clear_deletes_all_session_items(self, mock_container: MagicMock) -> None: + mock_container.query_items.return_value = _to_async_iter([{"id": "1"}, {"id": "2"}]) + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + + await provider.clear("s1") + + mock_container.execute_item_batch.assert_awaited_once() + batch_operations = mock_container.execute_item_batch.await_args.kwargs["batch_operations"] + assert len(batch_operations) == 2 + assert batch_operations[0] == ("delete", ("1",)) + assert batch_operations[1] == ("delete", ("2",)) + assert mock_container.execute_item_batch.await_args.kwargs["partition_key"] == "s1" + query_kwargs = mock_container.query_items.call_args.kwargs + assert query_kwargs["query"] == ( + "SELECT c.id FROM c WHERE c.session_id = @session_id AND c.source_id = @source_id" + ) + assert query_kwargs["parameters"] == [ + {"name": "@session_id", "value": "s1"}, + {"name": "@source_id", "value": "mem"}, + ] + + +class TestCosmosHistoryProviderBeforeAfterRun: + async def test_before_run_loads_history(self, mock_container: MagicMock) -> None: + msg = Message(role="user", contents=["old msg"]) + mock_container.query_items.return_value = _to_async_iter([{"message": msg.to_dict()}]) + + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + session = AgentSession(session_id="test") + context = SessionContext(input_messages=[Message(role="user", contents=["new msg"])], session_id="s1") + + await provider.before_run( + agent=None, session=session, context=context, state=session.state.setdefault(provider.source_id, {}) + ) # type: ignore[arg-type] + + assert "mem" in context.context_messages + assert context.context_messages["mem"][0].text == "old msg" + + async def test_after_run_stores_input_and_response(self, mock_container: MagicMock) -> None: + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + session = AgentSession(session_id="test") + context = SessionContext(input_messages=[Message(role="user", contents=["hi"])], session_id="s1") + context._response = AgentResponse(messages=[Message(role="assistant", contents=["hello"])]) + + await provider.after_run( + agent=None, session=session, context=context, state=session.state.setdefault(provider.source_id, {}) + ) # type: ignore[arg-type] + + mock_container.execute_item_batch.assert_awaited_once() + batch_operations = mock_container.execute_item_batch.await_args.kwargs["batch_operations"] + assert len(batch_operations) == 2 + input_doc = batch_operations[0][1][0] + response_doc = batch_operations[1][1][0] + assert input_doc["message"]["role"] == "user" + assert input_doc["message"]["contents"][0]["text"] == "hi" + assert response_doc["message"]["role"] == "assistant" + assert response_doc["message"]["contents"][0]["text"] == "hello" + + +class TestCosmosHistoryProviderClose: + async def test_close_closes_owned_client( + self, monkeypatch: pytest.MonkeyPatch, mock_cosmos_client: MagicMock + ) -> None: + mock_factory = MagicMock(return_value=mock_cosmos_client) + monkeypatch.setattr(history_provider_module, "CosmosClient", mock_factory) + + provider = CosmosHistoryProvider( + endpoint="https://account.documents.azure.com:443/", + credential="key-123", + database_name="db1", + container_name="history", + ) + + await provider.close() + + mock_cosmos_client.close.assert_awaited_once() + + async def test_close_does_not_close_external_client(self, mock_cosmos_client: MagicMock) -> None: + provider = CosmosHistoryProvider( + source_id="mem", + cosmos_client=mock_cosmos_client, + database_name="db1", + container_name="history", + ) + + await provider.close() + + mock_cosmos_client.close.assert_not_awaited() + + async def test_async_context_manager_closes_owned_client( + self, monkeypatch: pytest.MonkeyPatch, mock_cosmos_client: MagicMock + ) -> None: + mock_factory = MagicMock(return_value=mock_cosmos_client) + monkeypatch.setattr(history_provider_module, "CosmosClient", mock_factory) + + async with CosmosHistoryProvider( + endpoint="https://account.documents.azure.com:443/", + credential="key-123", + database_name="db1", + container_name="history", + ) as provider: + assert provider is not None + + mock_cosmos_client.close.assert_awaited_once() + + async def test_async_context_manager_preserves_original_exception(self, mock_container: MagicMock) -> None: + provider = CosmosHistoryProvider(source_id="mem", container_client=mock_container) + + with patch.object( + provider, "close", AsyncMock(side_effect=RuntimeError("close failed")) + ), pytest.raises(ValueError, match="inner error"): + async with provider: + raise ValueError("inner error") + + +@pytest.mark.flaky +@pytest.mark.integration +@skip_if_cosmos_integration_tests_disabled +async def test_cosmos_history_provider_roundtrip_with_emulator() -> None: + endpoint = os.getenv("AZURE_COSMOS_ENDPOINT", "") + key = os.getenv("AZURE_COSMOS_KEY", "") + database_prefix = os.getenv("AZURE_COSMOS_DATABASE_NAME", "") + container_prefix = os.getenv("AZURE_COSMOS_CONTAINER_NAME", "") + unique = uuid.uuid4().hex[:8] + database_name = f"{database_prefix}-{unique}" + container_name = f"{container_prefix}-{unique}" + session_id = f"session-{unique}" + + async with CosmosClient(url=endpoint, credential=key) as cosmos_client: + await cosmos_client.create_database_if_not_exists(id=database_name) + provider = CosmosHistoryProvider( + source_id="cosmos_integration", + cosmos_client=cosmos_client, + database_name=database_name, + container_name=container_name, + ) + + try: + await provider.save_messages( + session_id, + [ + Message(role="user", contents=["Hello Cosmos"]), + Message(role="assistant", contents=["Hi from Cosmos"]), + ], + ) + + stored_messages = await provider.get_messages(session_id) + assert [message.role for message in stored_messages] == ["user", "assistant"] + assert [message.text for message in stored_messages] == ["Hello Cosmos", "Hi from Cosmos"] + + sessions = await provider.list_sessions() + assert session_id in sessions + + await provider.clear(session_id) + assert await provider.get_messages(session_id) == [] + finally: + with suppress(CosmosResourceNotFoundError): + await cosmos_client.delete_database(database_name) diff --git a/python/pyproject.toml b/python/pyproject.toml index e4e45f0290..af80756bed 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -76,6 +76,7 @@ agent-framework-core = { workspace = true } agent-framework-a2a = { workspace = true } agent-framework-ag-ui = { workspace = true } agent-framework-azure-ai-search = { workspace = true } +agent-framework-azure-cosmos = { workspace = true } agent-framework-anthropic = { workspace = true } agent-framework-azure-ai = { workspace = true } agent-framework-azurefunctions = { workspace = true } @@ -238,6 +239,7 @@ check = ["check-packages", "samples-lint", "samples-syntax", "test", "markdown-c [tool.poe.tasks.all-tests-cov] cmd = """ pytest --import-mode=importlib +-m "not integration" --cov=agent_framework --cov=agent_framework_core --cov=agent_framework_a2a @@ -265,6 +267,7 @@ pytest --import-mode=importlib [tool.poe.tasks.all-tests] cmd = """ pytest --import-mode=importlib +-m "not integration" --ignore-glob=packages/lab/** --ignore-glob=packages/devui/** -rs diff --git a/python/uv.lock b/python/uv.lock index fddcab4657..15b3f18c46 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -32,6 +32,7 @@ members = [ "agent-framework-anthropic", "agent-framework-azure-ai", "agent-framework-azure-ai-search", + "agent-framework-azure-cosmos", "agent-framework-azurefunctions", "agent-framework-bedrock", "agent-framework-chatkit", @@ -235,6 +236,21 @@ requires-dist = [ { name = "azure-search-documents", specifier = "==11.7.0b2" }, ] +[[package]] +name = "agent-framework-azure-cosmos" +version = "1.0.0b260219" +source = { editable = "packages/azure-cosmos" } +dependencies = [ + { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "azure-cosmos", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +] + +[package.metadata] +requires-dist = [ + { name = "agent-framework-core", editable = "packages/core" }, + { name = 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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> --- .../agent_framework/openai/_chat_client.py | 21 +++- .../tests/openai/test_openai_chat_client.py | 104 ++++++++++++++++++ 2 files changed, 124 insertions(+), 1 deletion(-) diff --git a/python/packages/core/agent_framework/openai/_chat_client.py b/python/packages/core/agent_framework/openai/_chat_client.py index f08d80e990..0c3d346129 100644 --- a/python/packages/core/agent_framework/openai/_chat_client.py +++ b/python/packages/core/agent_framework/openai/_chat_client.py @@ -548,6 +548,7 @@ class RawOpenAIChatClient( # type: ignore[misc] return [] all_messages: list[dict[str, Any]] = [] + pending_reasoning: Any = None for content in message.contents: # Skip approval content - it's internal framework state, not for the LLM if content.type in ("function_approval_request", "function_approval_response"): @@ -575,15 +576,33 @@ class RawOpenAIChatClient( # type: ignore[misc] # Functions returning None should still have a tool result message args["content"] = content.result if content.result is not None else "" case "text_reasoning" if (protected_data := content.protected_data) is not None: - all_messages[-1]["reasoning_details"] = json.loads(protected_data) + # Buffer reasoning to attach to the next message with content/tool_calls + pending_reasoning = json.loads(protected_data) case _: if "content" not in args: args["content"] = [] # this is a list to allow multi-modal content args["content"].append(self._prepare_content_for_openai(content)) # type: ignore if "content" in args or "tool_calls" in args: + if pending_reasoning is not None: + args["reasoning_details"] = pending_reasoning + pending_reasoning = None all_messages.append(args) + # If reasoning was the only content, emit a valid message with empty content + if pending_reasoning is not None: + if all_messages: + all_messages[-1]["reasoning_details"] = pending_reasoning + else: + pending_args: dict[str, Any] = { + "role": message.role, + "content": "", + "reasoning_details": pending_reasoning, + } + if message.author_name and message.role != "tool": + pending_args["name"] = message.author_name + all_messages.append(pending_args) + # Flatten text-only content lists to plain strings for broader # compatibility with OpenAI-like endpoints (e.g. Foundry Local). # See https://github.com/microsoft/agent-framework/issues/4084 diff --git a/python/packages/core/tests/openai/test_openai_chat_client.py b/python/packages/core/tests/openai/test_openai_chat_client.py index fae303ed22..58faac42a3 100644 --- a/python/packages/core/tests/openai/test_openai_chat_client.py +++ b/python/packages/core/tests/openai/test_openai_chat_client.py @@ -643,6 +643,110 @@ def test_prepare_message_with_text_reasoning_content(openai_unit_test_env: dict[ assert prepared[0]["content"] == "The answer is 42." +def test_prepare_message_with_only_text_reasoning_content(openai_unit_test_env: dict[str, str]) -> None: + """Test that a message with only text_reasoning content does not raise IndexError. + + Regression test for https://github.com/microsoft/agent-framework/issues/4384 + Reasoning models (e.g. gpt-5-mini) may produce reasoning_details without text content, + which previously caused an IndexError when preparing messages. + """ + client = OpenAIChatClient() + + mock_reasoning_data = { + "effort": "high", + "summary": "Deep analysis of the problem", + } + + reasoning_content = Content.from_text_reasoning(text=None, protected_data=json.dumps(mock_reasoning_data)) + + # Message with only reasoning content and no text + message = Message( + role="assistant", + contents=[reasoning_content], + ) + + prepared = client._prepare_message_for_openai(message) + + # Should have one message with reasoning_details + assert len(prepared) == 1 + assert prepared[0]["role"] == "assistant" + assert "reasoning_details" in prepared[0] + assert prepared[0]["reasoning_details"] == mock_reasoning_data + # Message should also include a content field to be a valid Chat Completions payload + assert "content" in prepared[0] + assert prepared[0]["content"] == "" + + +def test_prepare_message_with_text_reasoning_before_text(openai_unit_test_env: dict[str, str]) -> None: + """Test that text_reasoning content appearing before text content is handled correctly. + + Regression test for https://github.com/microsoft/agent-framework/issues/4384 + """ + client = OpenAIChatClient() + + mock_reasoning_data = { + "effort": "medium", + "summary": "Quick analysis", + } + + reasoning_content = Content.from_text_reasoning(text=None, protected_data=json.dumps(mock_reasoning_data)) + + # Reasoning appears before text content + message = Message( + role="assistant", + contents=[ + reasoning_content, + Content.from_text(text="The answer is 42."), + ], + ) + + prepared = client._prepare_message_for_openai(message) + + # Should produce exactly one message without raising IndexError + assert len(prepared) == 1 + + # Reasoning details should be present on the message + assert "reasoning_details" in prepared[0] + assert prepared[0]["reasoning_details"] == mock_reasoning_data + assert prepared[0]["content"] == "The answer is 42." + + +def test_prepare_message_with_text_reasoning_before_function_call(openai_unit_test_env: dict[str, str]) -> None: + """Test that text_reasoning content appearing before a function call is handled correctly. + + Regression test for https://github.com/microsoft/agent-framework/issues/4384 + """ + client = OpenAIChatClient() + + mock_reasoning_data = { + "effort": "medium", + "summary": "Deciding to call a function", + } + + reasoning_content = Content.from_text_reasoning(text=None, protected_data=json.dumps(mock_reasoning_data)) + + # Reasoning appears before function call content + message = Message( + role="assistant", + contents=[ + reasoning_content, + Content.from_function_call(call_id="call_abc", name="get_weather", arguments='{"city": "Seattle"}'), + ], + ) + + prepared = client._prepare_message_for_openai(message) + + # Should produce exactly one message + assert len(prepared) == 1 + + # The message should carry the reasoning details and tool_calls + assert "reasoning_details" in prepared[0] + assert prepared[0]["reasoning_details"] == mock_reasoning_data + assert "tool_calls" in prepared[0] + assert prepared[0]["tool_calls"][0]["function"]["name"] == "get_weather" + assert prepared[0]["role"] == "assistant" + + def test_function_approval_content_is_skipped_in_preparation(openai_unit_test_env: dict[str, str]) -> None: """Test that function approval request and response content are skipped.""" client = OpenAIChatClient() From 1c0ae4b659643d7b43bf173827577ced18f2cbf5 Mon Sep 17 00:00:00 2001 From: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> Date: Tue, 3 Mar 2026 08:22:15 -0800 Subject: [PATCH 36/59] 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> --- .../agent_framework_anthropic/_chat_client.py | 117 ++++- .../anthropic/tests/test_anthropic_client.py | 193 ++++++++- .../packages/core/agent_framework/_agents.py | 6 +- .../packages/core/agent_framework/_tools.py | 17 + .../packages/core/agent_framework/_types.py | 135 ++++++ .../openai/_assistants_client.py | 15 +- .../openai/_responses_client.py | 406 +++++++++++++++++- python/packages/core/tests/core/test_types.py | 114 +++++ .../openai/test_openai_assistants_client.py | 29 +- .../openai/test_openai_responses_client.py | 382 ++++++++++++++++ .../tests/workflow/test_agent_executor.py | 4 +- .../tests/workflow/test_workflow_kwargs.py | 4 +- .../anthropic/anthropic_with_shell.py | 100 +++++ ...penai_responses_client_with_local_shell.py | 116 +++++ .../openai_responses_client_with_shell.py | 61 +++ 15 files changed, 1638 insertions(+), 61 deletions(-) create mode 100644 python/samples/02-agents/providers/anthropic/anthropic_with_shell.py create mode 100644 python/samples/02-agents/providers/openai/openai_responses_client_with_local_shell.py create mode 100644 python/samples/02-agents/providers/openai/openai_responses_client_with_shell.py diff --git a/python/packages/anthropic/agent_framework_anthropic/_chat_client.py b/python/packages/anthropic/agent_framework_anthropic/_chat_client.py index acfc1b0180..f9c2b99a6b 100644 --- a/python/packages/anthropic/agent_framework_anthropic/_chat_client.py +++ b/python/packages/anthropic/agent_framework_anthropic/_chat_client.py @@ -4,7 +4,7 @@ from __future__ import annotations import logging import sys -from collections.abc import AsyncIterable, Awaitable, Mapping, MutableMapping, Sequence +from collections.abc import AsyncIterable, Awaitable, Callable, Mapping, MutableMapping, Sequence from typing import Any, ClassVar, Final, Generic, Literal, TypedDict from agent_framework import ( @@ -25,8 +25,10 @@ from agent_framework import ( ResponseStream, TextSpanRegion, UsageDetails, + tool, ) from agent_framework._settings import SecretString, load_settings +from agent_framework._tools import SHELL_TOOL_KIND_VALUE from agent_framework._types import _get_data_bytes_as_str # type: ignore from agent_framework.observability import ChatTelemetryLayer from anthropic import AsyncAnthropic @@ -326,6 +328,7 @@ class AnthropicClient( # streaming requires tracking the last function call ID, name, and content type self._last_call_id_name: tuple[str, str] | None = None self._last_call_content_type: str | None = None + self._tool_name_aliases: dict[str, str] = {} # region Static factory methods for hosted tools @@ -379,6 +382,57 @@ class AnthropicClient( """ return {"type": type_name or "web_search_20250305", "name": name} + @staticmethod + def get_shell_tool( + *, + func: Callable[..., Any] | FunctionTool, + description: str | None = None, + type_name: str | None = None, + approval_mode: Literal["always_require", "never_require"] | None = None, + ) -> FunctionTool: + """Create a local shell FunctionTool for Anthropic. + + This helper wraps ``func`` as a shell-enabled ``FunctionTool`` for local + execution and configures Anthropic API declaration details via metadata. + + Anthropic always exposes this tool to the model as ``name="bash"`` and + executes it using a ``bash_*`` tool type. + + Keyword Args: + func: Python callable or ``FunctionTool`` that executes the requested shell command. + description: Optional tool description shown to the model. + type_name: Optional Anthropic shell tool type override. + Defaults to ``"bash_20250124"`` when omitted. + approval_mode: Optional approval mode for local execution. + + Returns: + A shell-enabled ``FunctionTool`` suitable for ``ChatOptions.tools``. + """ + base_tool: FunctionTool + if isinstance(func, FunctionTool): + base_tool = func + if description is not None: + base_tool.description = description + if approval_mode is not None: + base_tool.approval_mode = approval_mode + else: + base_tool = tool( + func=func, + description=description, + approval_mode=approval_mode, + ) + + additional_properties: dict[str, Any] = dict(base_tool.additional_properties or {}) + if type_name: + additional_properties["type"] = type_name + + if base_tool.func is None: + raise ValueError("Shell tool requires an executable function.") + + base_tool.additional_properties = additional_properties + base_tool.kind = SHELL_TOOL_KIND_VALUE + return base_tool + @staticmethod def get_mcp_tool( *, @@ -715,8 +769,16 @@ class AnthropicClient( if tools: tool_list: list[Any] = [] mcp_server_list: list[Any] = [] + tool_name_aliases: dict[str, str] = {} for tool in tools: - if isinstance(tool, FunctionTool): + if isinstance(tool, FunctionTool) and tool.kind == SHELL_TOOL_KIND_VALUE: + api_type = (tool.additional_properties or {}).get("type", "bash_20250124") + tool_name_aliases["bash"] = tool.name + tool_list.append({ + "type": api_type, + "name": "bash", + }) + elif isinstance(tool, FunctionTool): tool_list.append({ "type": "custom", "name": tool.name, @@ -744,6 +806,9 @@ class AnthropicClient( result["tools"] = tool_list if mcp_server_list: result["mcp_servers"] = mcp_server_list + self._tool_name_aliases = tool_name_aliases + else: + self._tool_name_aliases = {} # Process tool choice if options.get("tool_choice") is None: @@ -760,9 +825,18 @@ class AnthropicClient( result["tool_choice"] = tool_choice case "required": if "required_function_name" in tool_mode: + required_name = tool_mode["required_function_name"] + api_tool_name = next( + ( + api_name + for api_name, local_name in self._tool_name_aliases.items() + if local_name == required_name + ), + required_name, + ) tool_choice = { "type": "tool", - "name": tool_mode["required_function_name"], + "name": api_tool_name, } else: tool_choice = {"type": "any"} @@ -914,10 +988,11 @@ class AnthropicClient( ) ) else: + resolved_tool_name = self._tool_name_aliases.get(content_block.name, content_block.name) contents.append( Content.from_function_call( call_id=content_block.id, - name=content_block.name, + name=resolved_tool_name, arguments=content_block.input, raw_representation=content_block, ) @@ -1006,33 +1081,29 @@ class AnthropicClient( ) ) case "bash_code_execution_tool_result": - bash_outputs: list[Content] = [] + shell_outputs: list[Content] = [] if content_block.content: if isinstance( content_block.content, BetaBashCodeExecutionToolResultError, ): - bash_outputs.append( - Content.from_error( - message=content_block.content.error_code, + shell_outputs.append( + Content.from_shell_command_output( + stderr=content_block.content.error_code, + timed_out=content_block.content.error_code == "execution_time_exceeded", raw_representation=content_block.content, ) ) else: - if content_block.content.stdout: - bash_outputs.append( - Content.from_text( - text=content_block.content.stdout, - raw_representation=content_block.content, - ) - ) - if content_block.content.stderr: - bash_outputs.append( - Content.from_error( - message=content_block.content.stderr, - raw_representation=content_block.content, - ) + shell_outputs.append( + Content.from_shell_command_output( + stdout=content_block.content.stdout or None, + stderr=content_block.content.stderr or None, + exit_code=int(content_block.content.return_code), + timed_out=False, + raw_representation=content_block.content, ) + ) for bash_file_content in content_block.content.content: contents.append( Content.from_hosted_file( @@ -1041,9 +1112,9 @@ class AnthropicClient( ) ) contents.append( - Content.from_function_result( + Content.from_shell_tool_result( call_id=content_block.tool_use_id, - result=bash_outputs, + outputs=shell_outputs, raw_representation=content_block, ) ) diff --git a/python/packages/anthropic/tests/test_anthropic_client.py b/python/packages/anthropic/tests/test_anthropic_client.py index d7c4c9afc7..028e49673a 100644 --- a/python/packages/anthropic/tests/test_anthropic_client.py +++ b/python/packages/anthropic/tests/test_anthropic_client.py @@ -14,6 +14,7 @@ from agent_framework import ( tool, ) from agent_framework._settings import load_settings +from agent_framework._tools import SHELL_TOOL_KIND_VALUE from anthropic.types.beta import ( BetaMessage, BetaTextBlock, @@ -40,6 +41,8 @@ def create_test_anthropic_client( anthropic_settings: AnthropicSettings | None = None, ) -> AnthropicClient: """Helper function to create AnthropicClient instances for testing, bypassing normal validation.""" + from agent_framework._tools import normalize_function_invocation_configuration + if anthropic_settings is None: anthropic_settings = load_settings( AnthropicSettings, @@ -55,9 +58,13 @@ def create_test_anthropic_client( client.anthropic_client = mock_anthropic_client client.model_id = model_id or anthropic_settings["chat_model_id"] client._last_call_id_name = None + client._tool_name_aliases = {} client.additional_properties = {} client.middleware = None client.additional_beta_flags = [] + client.chat_middleware = [] + client.function_middleware = [] + client.function_invocation_configuration = normalize_function_invocation_configuration(None) return client @@ -410,6 +417,87 @@ def test_prepare_tools_for_anthropic_code_interpreter(mock_anthropic_client: Mag assert result["tools"][0]["name"] == "code_execution" +def _dummy_bash(command: str) -> str: + return f"executed: {command}" + + +def test_prepare_tools_for_anthropic_shell_tool(mock_anthropic_client: MagicMock) -> None: + """Test converting tool-decorated FunctionTool to Anthropic bash format.""" + client = create_test_anthropic_client(mock_anthropic_client) + + @tool(kind=SHELL_TOOL_KIND_VALUE) + def run_bash(command: str) -> str: + return _dummy_bash(command) + + chat_options = ChatOptions(tools=[run_bash]) + + result = client._prepare_tools_for_anthropic(chat_options) + + assert result is not None + assert "tools" in result + assert len(result["tools"]) == 1 + assert result["tools"][0]["type"] == "bash_20250124" + assert result["tools"][0]["name"] == "bash" + + +def test_prepare_tools_for_anthropic_shell_tool_custom_type(mock_anthropic_client: MagicMock) -> None: + """Test shell tool with custom type via additional_properties.""" + client = create_test_anthropic_client(mock_anthropic_client) + + @tool(kind=SHELL_TOOL_KIND_VALUE, additional_properties={"type": "bash_20241022"}) + def run_bash(command: str) -> str: + return _dummy_bash(command) + + chat_options = ChatOptions(tools=[run_bash]) + + result = client._prepare_tools_for_anthropic(chat_options) + + assert result is not None + assert "tools" in result + assert result["tools"][0]["type"] == "bash_20241022" + assert result["tools"][0]["name"] == "bash" + + +def test_prepare_tools_for_anthropic_shell_tool_does_not_mutate_name(mock_anthropic_client: MagicMock) -> None: + """Shell tool API name should be 'bash' without mutating local FunctionTool name.""" + client = create_test_anthropic_client(mock_anthropic_client) + + @tool( + name="run_local_shell", + approval_mode="never_require", + kind=SHELL_TOOL_KIND_VALUE, + ) + def run_local_shell(command: str) -> str: + return command + + chat_options = ChatOptions(tools=[run_local_shell]) + result = client._prepare_tools_for_anthropic(chat_options) + + assert result is not None + assert result["tools"][0]["name"] == "bash" + assert run_local_shell.name == "run_local_shell" + + +def test_get_shell_tool_reuses_function_tool_instance(mock_anthropic_client: MagicMock) -> None: + """Passing a FunctionTool should update and return the same tool instance.""" + client = create_test_anthropic_client(mock_anthropic_client) + + @tool(name="run_shell", approval_mode="never_require") + def run_shell(command: str) -> str: + return command + + shell_tool = client.get_shell_tool( + func=run_shell, + description="Run local bash", + approval_mode="always_require", + ) + + assert shell_tool is run_shell + assert shell_tool.kind == SHELL_TOOL_KIND_VALUE + assert shell_tool.description == "Run local bash" + assert shell_tool.approval_mode == "always_require" + + def test_prepare_tools_for_anthropic_mcp_tool(mock_anthropic_client: MagicMock) -> None: """Test converting MCP dict tool to Anthropic format.""" client = create_test_anthropic_client(mock_anthropic_client) @@ -502,6 +590,62 @@ async def test_prepare_options_with_system_message(mock_anthropic_client: MagicM assert len(run_options["messages"]) == 1 # System message not in messages list +async def test_anthropic_shell_tool_is_invoked_in_function_loop(mock_anthropic_client: MagicMock) -> None: + """Function invocation loop should execute shell tool when Anthropic returns bash tool_use.""" + client = create_test_anthropic_client(mock_anthropic_client) + executed_commands: list[str] = [] + + def run_local_shell(command: str) -> str: + executed_commands.append(command) + return f"executed: {command}" + + shell_tool_instance = client.get_shell_tool(func=run_local_shell, approval_mode="never_require") + + mock_tool_use = MagicMock() + mock_tool_use.type = "tool_use" + mock_tool_use.id = "call_bash_loop" + mock_tool_use.name = "bash" + mock_tool_use.input = {"command": "pwd"} + + first_message = MagicMock() + first_message.id = "msg_1" + first_message.content = [mock_tool_use] + first_message.usage = None + first_message.model = "claude-test" + first_message.stop_reason = "tool_use" + + mock_text_block = MagicMock() + mock_text_block.type = "text" + mock_text_block.text = "Done" + + second_message = MagicMock() + second_message.id = "msg_2" + second_message.content = [mock_text_block] + second_message.usage = None + second_message.model = "claude-test" + second_message.stop_reason = "end_turn" + + mock_anthropic_client.beta.messages.create.side_effect = [first_message, second_message] + + await client.get_response( + messages=[Message(role="user", text="Run pwd")], + options={"tools": [shell_tool_instance], "max_tokens": 64}, + ) + + assert executed_commands == ["pwd"] + assert mock_anthropic_client.beta.messages.create.call_count == 2 + second_request_messages = mock_anthropic_client.beta.messages.create.call_args_list[1].kwargs["messages"] + tool_results = [ + block + for message in second_request_messages + for block in message.get("content", []) + if block.get("type") == "tool_result" + ] + assert len(tool_results) == 1 + assert tool_results[0]["tool_use_id"] == "call_bash_loop" + assert "executed: pwd" in tool_results[0]["content"] + + async def test_prepare_options_with_tool_choice_auto(mock_anthropic_client: MagicMock) -> None: """Test _prepare_options with auto tool choice.""" client = create_test_anthropic_client(mock_anthropic_client) @@ -1733,7 +1877,7 @@ def test_parse_code_execution_result_with_files(mock_anthropic_client: MagicMock def test_parse_bash_execution_result_with_stdout(mock_anthropic_client: MagicMock) -> None: - """Test parsing bash execution result with stdout.""" + """Test parsing bash execution result with stdout produces shell_tool_result.""" client = create_test_anthropic_client(mock_anthropic_client) client._last_call_id_name = ("call_bash2", "bash_code_execution") @@ -1741,6 +1885,7 @@ def test_parse_bash_execution_result_with_stdout(mock_anthropic_client: MagicMoc mock_content = MagicMock() mock_content.stdout = "Output text" mock_content.stderr = None + mock_content.return_code = 0 mock_content.content = [] mock_block = MagicMock() @@ -1751,11 +1896,18 @@ def test_parse_bash_execution_result_with_stdout(mock_anthropic_client: MagicMoc result = client._parse_contents_from_anthropic([mock_block]) assert len(result) == 1 - assert result[0].type == "function_result" + assert result[0].type == "shell_tool_result" + assert result[0].call_id == "call_bash2" + assert result[0].outputs is not None + assert len(result[0].outputs) == 1 + assert result[0].outputs[0].type == "shell_command_output" + assert result[0].outputs[0].stdout == "Output text" + assert result[0].outputs[0].exit_code == 0 + assert result[0].outputs[0].timed_out is False def test_parse_bash_execution_result_with_stderr(mock_anthropic_client: MagicMock) -> None: - """Test parsing bash execution result with stderr.""" + """Test parsing bash execution result with stderr produces shell_tool_result.""" client = create_test_anthropic_client(mock_anthropic_client) client._last_call_id_name = ("call_bash3", "bash_code_execution") @@ -1763,6 +1915,7 @@ def test_parse_bash_execution_result_with_stderr(mock_anthropic_client: MagicMoc mock_content = MagicMock() mock_content.stdout = None mock_content.stderr = "Error output" + mock_content.return_code = 1 mock_content.content = [] mock_block = MagicMock() @@ -1773,7 +1926,39 @@ def test_parse_bash_execution_result_with_stderr(mock_anthropic_client: MagicMoc result = client._parse_contents_from_anthropic([mock_block]) assert len(result) == 1 - assert result[0].type == "function_result" + assert result[0].type == "shell_tool_result" + assert result[0].call_id == "call_bash3" + assert result[0].outputs is not None + assert result[0].outputs[0].type == "shell_command_output" + assert result[0].outputs[0].stderr == "Error output" + assert result[0].outputs[0].exit_code == 1 + + +def test_parse_bash_execution_result_with_error(mock_anthropic_client: MagicMock) -> None: + """Test parsing bash execution error produces shell_tool_result with error info.""" + from anthropic.types.beta.beta_bash_code_execution_tool_result_error import ( + BetaBashCodeExecutionToolResultError, + ) + + client = create_test_anthropic_client(mock_anthropic_client) + client._last_call_id_name = ("call_bash_err", "bash_code_execution") + + mock_error = MagicMock(spec=BetaBashCodeExecutionToolResultError) + mock_error.error_code = "execution_time_exceeded" + + mock_block = MagicMock() + mock_block.type = "bash_code_execution_tool_result" + mock_block.tool_use_id = "call_bash_err" + mock_block.content = mock_error + + result = client._parse_contents_from_anthropic([mock_block]) + + assert len(result) == 1 + assert result[0].type == "shell_tool_result" + assert result[0].outputs is not None + assert result[0].outputs[0].type == "shell_command_output" + assert result[0].outputs[0].stderr == "execution_time_exceeded" + assert result[0].outputs[0].timed_out is True # Text Editor Result Tests diff --git a/python/packages/core/agent_framework/_agents.py b/python/packages/core/agent_framework/_agents.py index a519796b17..8f477f9223 100644 --- a/python/packages/core/agent_framework/_agents.py +++ b/python/packages/core/agent_framework/_agents.py @@ -947,7 +947,11 @@ class RawAgent(BaseAgent, Generic[OptionsCoT]): # type: ignore[misc] def _finalizer(updates: Sequence[AgentResponseUpdate]) -> AgentResponse[Any]: ctx = ctx_holder["ctx"] - rf = ctx.get("chat_options", {}).get("response_format") if ctx else (options.get("response_format") if options else None) + rf = ( + ctx.get("chat_options", {}).get("response_format") + if ctx + else (options.get("response_format") if options else None) + ) return self._finalize_response_updates(updates, response_format=rf) return ( diff --git a/python/packages/core/agent_framework/_tools.py b/python/packages/core/agent_framework/_tools.py index 3ec167d4f7..303699572c 100644 --- a/python/packages/core/agent_framework/_tools.py +++ b/python/packages/core/agent_framework/_tools.py @@ -79,6 +79,7 @@ logger = logging.getLogger("agent_framework") DEFAULT_MAX_ITERATIONS: Final[int] = 40 DEFAULT_MAX_CONSECUTIVE_ERRORS_PER_REQUEST: Final[int] = 3 +SHELL_TOOL_KIND_VALUE: Final[str] = "shell" ChatClientT = TypeVar("ChatClientT", bound="SupportsChatGetResponse[Any]") # region Helpers @@ -237,6 +238,7 @@ class FunctionTool(SerializationMixin): name: str, description: str = "", approval_mode: Literal["always_require", "never_require"] | None = None, + kind: str | None = None, max_invocations: int | None = None, max_invocation_exceptions: int | None = None, additional_properties: dict[str, Any] | None = None, @@ -252,6 +254,8 @@ class FunctionTool(SerializationMixin): description: A description of the function. approval_mode: Whether or not approval is required to run this tool. Default is that approval is NOT required (``"never_require"``). + kind: Optional provider-agnostic tool classification + (for example ``"shell"``). max_invocations: The maximum number of times this function can be invoked across the **lifetime of this tool instance**. If None (default), there is no limit. Should be at least 1. If the tool is called multiple @@ -296,6 +300,7 @@ class FunctionTool(SerializationMixin): # Core attributes (formerly from BaseTool) self.name = name self.description = description + self.kind = kind self.additional_properties = additional_properties for key, value in kwargs.items(): setattr(self, key, value) @@ -1077,6 +1082,7 @@ def tool( description: str | None = None, schema: type[BaseModel] | Mapping[str, Any] | None = None, approval_mode: Literal["always_require", "never_require"] | None = None, + kind: str | None = None, max_invocations: int | None = None, max_invocation_exceptions: int | None = None, additional_properties: dict[str, Any] | None = None, @@ -1092,6 +1098,7 @@ def tool( description: str | None = None, schema: type[BaseModel] | Mapping[str, Any] | None = None, approval_mode: Literal["always_require", "never_require"] | None = None, + kind: str | None = None, max_invocations: int | None = None, max_invocation_exceptions: int | None = None, additional_properties: dict[str, Any] | None = None, @@ -1106,6 +1113,7 @@ def tool( description: str | None = None, schema: type[BaseModel] | Mapping[str, Any] | None = None, approval_mode: Literal["always_require", "never_require"] | None = None, + kind: str | None = None, max_invocations: int | None = None, max_invocation_exceptions: int | None = None, additional_properties: dict[str, Any] | None = None, @@ -1145,6 +1153,7 @@ def tool( function's signature. Defaults to ``None`` (infer from signature). approval_mode: Whether or not approval is required to run this tool. Default is that approval is NOT required (``"never_require"``). + kind: Optional provider-agnostic tool classification. max_invocations: The maximum number of times this function can be invoked across the **lifetime of this tool instance**. If None (default), there is no limit. Should be at least 1. For per-request limits, use @@ -1245,6 +1254,7 @@ def tool( name=tool_name, description=tool_desc, approval_mode=approval_mode, + kind=kind, max_invocations=max_invocations, max_invocation_exceptions=max_invocation_exceptions, additional_properties=additional_properties or {}, @@ -1390,6 +1400,7 @@ async def _auto_invoke_function( call_id=function_call_content.call_id, # type: ignore[arg-type] result=f'Error: Requested function "{function_call_content.name}" not found.', exception=str(exc), # type: ignore[arg-type] + additional_properties=function_call_content.additional_properties, ) else: # Note: Unapproved tools (approved=False) are handled in _replace_approval_contents_with_results @@ -1430,6 +1441,7 @@ async def _auto_invoke_function( call_id=function_call_content.call_id, # type: ignore[arg-type] result=message, exception=str(exc), # type: ignore[arg-type] + additional_properties=function_call_content.additional_properties, ) if middleware_pipeline is None or not middleware_pipeline.has_middlewares: @@ -1443,6 +1455,7 @@ async def _auto_invoke_function( return Content.from_function_result( call_id=function_call_content.call_id, # type: ignore[arg-type] result=function_result, + additional_properties=function_call_content.additional_properties, ) except Exception as exc: message = "Error: Function failed." @@ -1452,6 +1465,7 @@ async def _auto_invoke_function( call_id=function_call_content.call_id, # type: ignore[arg-type] result=message, exception=str(exc), + additional_properties=function_call_content.additional_properties, ) # Execute through middleware pipeline if available from ._middleware import FunctionInvocationContext @@ -1477,6 +1491,7 @@ async def _auto_invoke_function( return Content.from_function_result( call_id=function_call_content.call_id, # type: ignore[arg-type] result=function_result, + additional_properties=function_call_content.additional_properties, ) except MiddlewareTermination as term_exc: # Re-raise to signal loop termination, but first capture any result set by middleware @@ -1485,6 +1500,7 @@ async def _auto_invoke_function( term_exc.result = Content.from_function_result( call_id=function_call_content.call_id, # type: ignore[arg-type] result=middleware_context.result, + additional_properties=function_call_content.additional_properties, ) raise except Exception as exc: @@ -1495,6 +1511,7 @@ async def _auto_invoke_function( call_id=function_call_content.call_id, # type: ignore[arg-type] result=message, exception=str(exc), # type: ignore[arg-type] + additional_properties=function_call_content.additional_properties, ) diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py index 3df0bb20fb..beed97834c 100644 --- a/python/packages/core/agent_framework/_types.py +++ b/python/packages/core/agent_framework/_types.py @@ -340,6 +340,9 @@ ContentType = Literal[ "image_generation_tool_result", "mcp_server_tool_call", "mcp_server_tool_result", + "shell_tool_call", + "shell_tool_result", + "shell_command_output", "function_approval_request", "function_approval_response", ] @@ -476,6 +479,16 @@ class Content: outputs: list[Content] | Any | None = None, # Image generation tool fields image_id: str | None = None, + # Shell tool fields + commands: list[str] | None = None, + timeout_ms: int | None = None, + max_output_length: int | None = None, + status: str | None = None, + # Shell command output fields + stdout: str | None = None, + stderr: str | None = None, + exit_code: int | None = None, + timed_out: bool | None = None, # MCP server tool fields tool_name: str | None = None, server_name: str | None = None, @@ -518,6 +531,14 @@ class Content: self.inputs = inputs self.outputs = outputs self.image_id = image_id + self.commands = commands + self.timeout_ms = timeout_ms + self.max_output_length = max_output_length + self.status = status + self.stdout = stdout + self.stderr = stderr + self.exit_code = exit_code + self.timed_out = timed_out self.tool_name = tool_name self.server_name = server_name self.output = output @@ -908,6 +929,112 @@ class Content: raw_representation=raw_representation, ) + @classmethod + def from_shell_tool_call( + cls: type[ContentT], + *, + call_id: str | None = None, + commands: list[str] | None = None, + timeout_ms: int | None = None, + max_output_length: int | None = None, + status: str | None = None, + annotations: Sequence[Annotation] | None = None, + additional_properties: MutableMapping[str, Any] | None = None, + raw_representation: Any = None, + ) -> ContentT: + """Create shell tool call content. + + This content represents the model's request to run one or more shell + commands. It is request metadata, not command output. + + Keyword Args: + call_id: The unique identifier for this tool call. + commands: The list of commands to execute. + timeout_ms: The timeout in milliseconds for the shell command execution. + max_output_length: The maximum output length in characters. + status: The status of the shell call (e.g., "in_progress", "completed", "incomplete"). + annotations: Optional annotations for this content. + additional_properties: Optional additional properties. + raw_representation: The raw provider-specific representation. + """ + return cls( + "shell_tool_call", + call_id=call_id, + commands=commands, + timeout_ms=timeout_ms, + max_output_length=max_output_length, + status=status, + annotations=annotations, + additional_properties=additional_properties, + raw_representation=raw_representation, + ) + + @classmethod + def from_shell_tool_result( + cls: type[ContentT], + *, + call_id: str | None = None, + outputs: Sequence[Content] | None = None, + max_output_length: int | None = None, + annotations: Sequence[Annotation] | None = None, + additional_properties: MutableMapping[str, Any] | None = None, + raw_representation: Any = None, + ) -> ContentT: + """Create shell tool result content. + + This content represents the aggregate result for a shell tool call. + Use :meth:`from_shell_command_output` to build each per-command output + item and pass those objects via ``outputs``. + + Keyword Args: + call_id: The function call ID for which this is the result. + outputs: The list of shell command output Content objects. + max_output_length: The maximum output length in characters. + annotations: Optional annotations for this content. + additional_properties: Optional additional properties. + raw_representation: The raw provider-specific representation. + """ + return cls( + "shell_tool_result", + call_id=call_id, + outputs=list(outputs) if outputs is not None else None, + max_output_length=max_output_length, + annotations=annotations, + additional_properties=additional_properties, + raw_representation=raw_representation, + ) + + @classmethod + def from_shell_command_output( + cls: type[ContentT], + *, + stdout: str | None = None, + stderr: str | None = None, + exit_code: int | None = None, + timed_out: bool | None = None, + additional_properties: MutableMapping[str, Any] | None = None, + raw_representation: Any = None, + ) -> ContentT: + """Create shell command output content for one command execution. + + Keyword Args: + stdout: The standard output of the command. + stderr: The standard error output of the command. + exit_code: The exit code of the command, or None if the command timed out. + timed_out: Whether the command execution timed out. + additional_properties: Optional additional properties. + raw_representation: The raw provider-specific representation. + """ + return cls( + "shell_command_output", + stdout=stdout, + stderr=stderr, + exit_code=exit_code, + timed_out=timed_out, + additional_properties=additional_properties, + raw_representation=raw_representation, + ) + @classmethod def from_mcp_server_tool_call( cls: type[ContentT], @@ -1034,6 +1161,14 @@ class Content: "inputs", "outputs", "image_id", + "commands", + "timeout_ms", + "max_output_length", + "status", + "stdout", + "stderr", + "exit_code", + "timed_out", "tool_name", "server_name", "output", diff --git a/python/packages/core/agent_framework/openai/_assistants_client.py b/python/packages/core/agent_framework/openai/_assistants_client.py index 1c8aafc94e..17b801a36a 100644 --- a/python/packages/core/agent_framework/openai/_assistants_client.py +++ b/python/packages/core/agent_framework/openai/_assistants_client.py @@ -639,9 +639,15 @@ class OpenAIAssistantsClient( # type: ignore[misc] additional_properties=props, raw_representation=completed_annotation, ) - if completed_annotation.file_citation and completed_annotation.file_citation.file_id: + if ( + completed_annotation.file_citation + and completed_annotation.file_citation.file_id + ): ann["file_id"] = completed_annotation.file_citation.file_id - if completed_annotation.start_index is not None and completed_annotation.end_index is not None: + if ( + completed_annotation.start_index is not None + and completed_annotation.end_index is not None + ): ann["annotated_regions"] = [ TextSpanRegion( type="text_span", @@ -660,7 +666,10 @@ class OpenAIAssistantsClient( # type: ignore[misc] ) if completed_annotation.file_path and completed_annotation.file_path.file_id: ann["file_id"] = completed_annotation.file_path.file_id - if completed_annotation.start_index is not None and completed_annotation.end_index is not None: + if ( + completed_annotation.start_index is not None + and completed_annotation.end_index is not None + ): ann["annotated_regions"] = [ TextSpanRegion( type="text_span", diff --git a/python/packages/core/agent_framework/openai/_responses_client.py b/python/packages/core/agent_framework/openai/_responses_client.py index 5ba0bbc686..f11b60b767 100644 --- a/python/packages/core/agent_framework/openai/_responses_client.py +++ b/python/packages/core/agent_framework/openai/_responses_client.py @@ -2,7 +2,9 @@ from __future__ import annotations +import json import logging +import shlex import sys from collections.abc import ( AsyncIterable, @@ -17,6 +19,7 @@ from itertools import chain from typing import TYPE_CHECKING, Any, ClassVar, Generic, Literal, NoReturn, TypedDict, cast from openai import AsyncOpenAI, BadRequestError +from openai.types.responses import FunctionShellTool from openai.types.responses.file_search_tool_param import FileSearchToolParam from openai.types.responses.function_tool_param import FunctionToolParam from openai.types.responses.parsed_response import ( @@ -40,11 +43,13 @@ from .._clients import BaseChatClient from .._middleware import ChatMiddlewareLayer from .._settings import load_settings from .._tools import ( + SHELL_TOOL_KIND_VALUE, FunctionInvocationConfiguration, FunctionInvocationLayer, FunctionTool, ToolTypes, normalize_tools, + tool, ) from .._types import ( Annotation, @@ -92,6 +97,12 @@ if TYPE_CHECKING: ) logger = logging.getLogger("agent_framework.openai") +OPENAI_SHELL_ENVIRONMENT_KEY = "openai.responses.shell.environment" +OPENAI_SHELL_OUTPUT_TYPE_KEY = "openai.responses.shell.output_type" +OPENAI_LOCAL_SHELL_CALL_ITEM_ID_KEY = "openai.responses.local_shell.call_item_id" +OPENAI_LOCAL_SHELL_COMMAND_PARTS_KEY = "openai.local_shell_command_parts" +OPENAI_SHELL_OUTPUT_TYPE_SHELL_CALL = "shell_call_output" +OPENAI_SHELL_OUTPUT_TYPE_LOCAL_SHELL_CALL = "local_shell_call_output" class OpenAIContinuationToken(ContinuationToken): @@ -432,7 +443,9 @@ class RawOpenAIResponsesClient( # type: ignore[misc] ) -> list[Any]: """Prepare tools for the OpenAI Responses API. - Converts FunctionTool to Responses API format. All other tools pass through unchanged. + Converts FunctionTool to Responses API format. Shell-enabled FunctionTools + with explicit shell environment metadata are mapped to OpenAI shell tools. + All other tools pass through unchanged. Args: tools: A single tool or sequence of tools to prepare. @@ -444,24 +457,49 @@ class RawOpenAIResponsesClient( # type: ignore[misc] if not tools_list: return [] response_tools: list[Any] = [] - for tool in tools_list: - if isinstance(tool, FunctionTool): - params = tool.parameters() + for tool_item in tools_list: + if isinstance(tool_item, FunctionTool) and tool_item.kind == SHELL_TOOL_KIND_VALUE: + shell_env = (tool_item.additional_properties or {}).get(OPENAI_SHELL_ENVIRONMENT_KEY) + if isinstance(shell_env, Mapping): + response_tools.append( + FunctionShellTool( + type="shell", + environment=dict(shell_env), + ) + ) + continue + if isinstance(tool_item, FunctionTool): + params = tool_item.parameters() params["additionalProperties"] = False response_tools.append( FunctionToolParam( - name=tool.name, + name=tool_item.name, parameters=params, strict=False, type="function", - description=tool.description, + description=tool_item.description, ) ) else: # Pass through all other tools (dicts, SDK types) unchanged - response_tools.append(tool) + response_tools.append(tool_item) return response_tools + def _get_local_shell_tool_name( + self, + tools: ToolTypes | Callable[..., Any] | Sequence[ToolTypes | Callable[..., Any]] | None, + ) -> str | None: + """Return the name of the configured local shell tool function, if any.""" + for tool_item in normalize_tools(tools): + if not isinstance(tool_item, FunctionTool): + continue + if tool_item.kind != SHELL_TOOL_KIND_VALUE: + continue + shell_env = (tool_item.additional_properties or {}).get(OPENAI_SHELL_ENVIRONMENT_KEY) + if isinstance(shell_env, Mapping) and shell_env.get("type") == "local": + return tool_item.name + return None + # region Hosted Tool Factory Methods @staticmethod @@ -622,6 +660,92 @@ class RawOpenAIResponsesClient( # type: ignore[misc] return tool + @staticmethod + def get_shell_tool( + *, + func: Callable[..., Any] | FunctionTool | None = None, + environment: Literal["auto"] | dict[str, Any] | None = "auto", + name: str | None = None, + description: str | None = None, + approval_mode: Literal["always_require", "never_require"] | None = None, + ) -> Any: + """Create a shell tool for the Responses API. + + - When ``func`` is ``None`` (default), returns an OpenAI hosted shell + tool declaration. + - When ``func`` is provided, returns a local FunctionTool that is + declared to OpenAI as a local shell tool and executed via the function + invocation layer. + + Keyword Args: + func: Optional local shell function or ``FunctionTool``. + environment: Container environment configuration. + Used only when ``func`` is ``None``. + Use ``"auto"`` (default) for managed containers, or provide a + dict with explicit hosted container settings. + name: Optional local tool name when ``func`` is provided. + description: Optional local tool description when ``func`` is provided. + approval_mode: Optional local tool approval mode. + + Returns: + A hosted shell declaration or a local shell FunctionTool. + + Examples: + .. code-block:: python + + from agent_framework.openai import OpenAIResponsesClient + + # Hosted shell (OpenAI container) + tool = OpenAIResponsesClient.get_shell_tool() + + # Hosted shell with custom environment + tool = OpenAIResponsesClient.get_shell_tool( + environment={"type": "container_auto", "file_ids": ["file-abc"]} + ) + + # Local shell execution + tool = OpenAIResponsesClient.get_shell_tool( + func=my_shell_func, + ) + """ + if func is None: + env_config: dict[str, Any] = ( + dict(environment) if isinstance(environment, dict) else {"type": "container_auto"} + ) + if env_config.get("type") == "local": + raise ValueError("Local shell requires func. Provide func for local execution.") + return FunctionShellTool(type="shell", environment=env_config) + + if isinstance(environment, dict): + raise ValueError("When func is provided, environment config is not supported.") + local_env = {"type": "local"} + + base_tool: FunctionTool + if isinstance(func, FunctionTool): + base_tool = func + if name is not None: + base_tool.name = name + if description is not None: + base_tool.description = description + if approval_mode is not None: + base_tool.approval_mode = approval_mode + else: + base_tool = tool( + func=func, + name=name, + description=description, + approval_mode=approval_mode, + ) + + if base_tool.func is None: + raise ValueError("Shell tool requires an executable function.") + + additional_properties = dict(base_tool.additional_properties or {}) + additional_properties[OPENAI_SHELL_ENVIRONMENT_KEY] = local_env + base_tool.additional_properties = additional_properties + base_tool.kind = SHELL_TOOL_KIND_VALUE + return base_tool + @staticmethod def get_mcp_tool( *, @@ -1044,13 +1168,34 @@ class RawOpenAIResponsesClient( # type: ignore[misc] "status": None, } case "function_result": + shell_output_type = ( + content.additional_properties.get(OPENAI_SHELL_OUTPUT_TYPE_KEY) + if content.additional_properties + else None + ) + if shell_output_type == OPENAI_SHELL_OUTPUT_TYPE_SHELL_CALL: + return { + "call_id": content.call_id, + "type": OPENAI_SHELL_OUTPUT_TYPE_SHELL_CALL, + "output": self._to_shell_call_output_payload(content), + } + local_shell_call_item_id = ( + content.additional_properties.get(OPENAI_LOCAL_SHELL_CALL_ITEM_ID_KEY) + if content.additional_properties + else None + ) + if shell_output_type == OPENAI_SHELL_OUTPUT_TYPE_LOCAL_SHELL_CALL and local_shell_call_item_id: + return { + "id": local_shell_call_item_id, + "type": OPENAI_SHELL_OUTPUT_TYPE_LOCAL_SHELL_CALL, + "output": self._to_local_shell_output_payload(content), + } # call_id for the result needs to be the same as the call_id for the function call - args: dict[str, Any] = { + return { "call_id": content.call_id, "type": "function_call_output", "output": content.result if content.result is not None else "", } - return args case "function_approval_request": return { "type": "mcp_approval_request", @@ -1076,6 +1221,65 @@ class RawOpenAIResponsesClient( # type: ignore[misc] logger.debug("Unsupported content type passed (type: %s)", content.type) return {} + @staticmethod + def _to_local_shell_output_payload(content: Content) -> str: + """Convert function tool output to the local shell JSON payload format.""" + payload: dict[str, Any] + if isinstance(content.result, Mapping): + payload = dict(content.result) + else: + payload = { + "stdout": "" if content.result is None else str(content.result), + } + if content.exception is not None and "stderr" not in payload: + payload["stderr"] = str(content.exception) + if "exit_code" not in payload: + payload["exit_code"] = 1 if content.exception else 0 + return json.dumps(payload, ensure_ascii=False) + + @staticmethod + def _to_shell_call_output_payload(content: Content) -> list[dict[str, Any]]: + """Convert function tool output to shell_call_output payload format.""" + payload: dict[str, Any] + if isinstance(content.result, Mapping): + payload = dict(content.result) + else: + payload = { + "stdout": "" if content.result is None else str(content.result), + } + if content.exception is not None and "stderr" not in payload: + payload["stderr"] = str(content.exception) + + # Pass through native payload shape when tool already returns shell output entries. + direct_output = payload.get("output") + if isinstance(direct_output, list) and all(isinstance(item, Mapping) for item in direct_output): + return [dict(item) for item in direct_output] + + stdout = str(payload.get("stdout", "")) + stderr = str(payload.get("stderr", "")) + timed_out = bool(payload.get("timed_out", False)) + if timed_out: + outcome: dict[str, Any] = {"type": "timeout"} + else: + exit_code_raw = payload.get("exit_code") + try: + exit_code = int(exit_code_raw) if exit_code_raw is not None else (1 if content.exception else 0) + except (TypeError, ValueError): + exit_code = 1 if content.exception else 0 + outcome = {"type": "exit", "exit_code": exit_code} + return [ + { + "stdout": stdout, + "stderr": stderr, + "outcome": outcome, + } + ] + + @staticmethod + def _join_shell_commands(commands: Sequence[str]) -> str: + """Join shell commands into a single executable command string.""" + return "\n".join(command for command in commands if command).strip() + # region Parse methods def _parse_response_from_openai( self, @@ -1087,6 +1291,7 @@ class RawOpenAIResponsesClient( # type: ignore[misc] metadata: dict[str, Any] = response.metadata or {} contents: list[Content] = [] + local_shell_tool_name = self._get_local_shell_tool_name(options.get("tools")) for item in response.output: # type: ignore[reportUnknownMemberType] match item.type: # types: @@ -1332,6 +1537,97 @@ class RawOpenAIResponsesClient( # type: ignore[misc] raw_representation=item, ) ) + case "shell_call": # ResponseFunctionShellToolCall + shell_call_id = item.call_id if hasattr(item, "call_id") else "" + shell_commands: list[str] = [] + shell_timeout_ms: int | None = None + shell_max_output: int | None = None + if action := getattr(item, "action", None): + shell_commands = list(getattr(action, "commands", []) or []) + shell_timeout_ms = getattr(action, "timeout_ms", None) + shell_max_output = getattr(action, "max_output_length", None) + if local_shell_tool_name: + command_text = self._join_shell_commands(shell_commands) + contents.append( + Content.from_function_call( + call_id=shell_call_id, + name=local_shell_tool_name, + arguments=json.dumps({"command": command_text}), + additional_properties={ + OPENAI_SHELL_OUTPUT_TYPE_KEY: OPENAI_SHELL_OUTPUT_TYPE_SHELL_CALL, + OPENAI_LOCAL_SHELL_COMMAND_PARTS_KEY: shell_commands, + }, + raw_representation=item, + ) + ) + else: + contents.append( + Content.from_shell_tool_call( + call_id=shell_call_id, + commands=shell_commands, + timeout_ms=shell_timeout_ms, + max_output_length=shell_max_output, + status=getattr(item, "status", None), + raw_representation=item, + ) + ) + case "local_shell_call": + local_call_id = getattr(item, "call_id", None) or "" + local_command_parts = list(getattr(getattr(item, "action", None), "command", []) or []) + local_command = shlex.join(local_command_parts) if local_command_parts else "" + if local_shell_tool_name: + contents.append( + Content.from_function_call( + call_id=local_call_id, + name=local_shell_tool_name, + arguments=json.dumps({"command": local_command}), + additional_properties={ + OPENAI_SHELL_OUTPUT_TYPE_KEY: OPENAI_SHELL_OUTPUT_TYPE_LOCAL_SHELL_CALL, + OPENAI_LOCAL_SHELL_CALL_ITEM_ID_KEY: getattr(item, "id", None), + OPENAI_LOCAL_SHELL_COMMAND_PARTS_KEY: local_command_parts, + }, + raw_representation=item, + ) + ) + else: + contents.append( + Content.from_shell_tool_call( + call_id=local_call_id, + commands=[local_command] if local_command else [], + timeout_ms=getattr(getattr(item, "action", None), "timeout_ms", None), + status=getattr(item, "status", None), + raw_representation=item, + ) + ) + case "shell_call_output": # ResponseFunctionShellToolCallOutput + shell_output_call_id = item.call_id if hasattr(item, "call_id") else "" + shell_outputs: list[Content] = [] + for shell_out in getattr(item, "output", []) or []: + s_exit_code: int | None = None + s_timed_out: bool | None = None + if outcome := getattr(shell_out, "outcome", None): + if getattr(outcome, "type", None) == "exit": + s_exit_code = getattr(outcome, "exit_code", None) + s_timed_out = False + elif getattr(outcome, "type", None) == "timeout": + s_timed_out = True + shell_outputs.append( + Content.from_shell_command_output( + stdout=getattr(shell_out, "stdout", None), + stderr=getattr(shell_out, "stderr", None), + exit_code=s_exit_code, + timed_out=s_timed_out, + raw_representation=shell_out, + ) + ) + contents.append( + Content.from_shell_tool_result( + call_id=shell_output_call_id, + outputs=shell_outputs, + max_output_length=getattr(item, "max_output_length", None), + raw_representation=item, + ) + ) case _: logger.debug("Unparsed output of type: %s: %s", item.type, item) response_message = Message(role="assistant", contents=contents) @@ -1370,6 +1666,7 @@ class RawOpenAIResponsesClient( # type: ignore[misc] """Parse an OpenAI Responses API streaming event into a ChatResponseUpdate.""" metadata: dict[str, Any] = {} contents: list[Content] = [] + local_shell_tool_name = self._get_local_shell_tool_name(options.get("tools")) conversation_id: str | None = None response_id: str | None = None continuation_token: OpenAIContinuationToken | None = None @@ -1646,6 +1943,97 @@ class RawOpenAIResponsesClient( # type: ignore[misc] raw_representation=event_item, ) ) + case "shell_call": # ResponseFunctionShellToolCall + s_call_id = getattr(event_item, "call_id", None) or "" + s_commands: list[str] = [] + s_timeout_ms: int | None = None + s_max_output: int | None = None + if s_action := getattr(event_item, "action", None): + s_commands = list(getattr(s_action, "commands", []) or []) + s_timeout_ms = getattr(s_action, "timeout_ms", None) + s_max_output = getattr(s_action, "max_output_length", None) + if local_shell_tool_name: + command_text = self._join_shell_commands(s_commands) + contents.append( + Content.from_function_call( + call_id=s_call_id, + name=local_shell_tool_name, + arguments=json.dumps({"command": command_text}), + additional_properties={ + OPENAI_SHELL_OUTPUT_TYPE_KEY: OPENAI_SHELL_OUTPUT_TYPE_SHELL_CALL, + OPENAI_LOCAL_SHELL_COMMAND_PARTS_KEY: s_commands, + }, + raw_representation=event_item, + ) + ) + else: + contents.append( + Content.from_shell_tool_call( + call_id=s_call_id, + commands=s_commands, + timeout_ms=s_timeout_ms, + max_output_length=s_max_output, + status=getattr(event_item, "status", None), + raw_representation=event_item, + ) + ) + case "local_shell_call": + local_call_id = getattr(event_item, "call_id", None) or "" + local_command_parts = list(getattr(getattr(event_item, "action", None), "command", []) or []) + local_command = shlex.join(local_command_parts) if local_command_parts else "" + if local_shell_tool_name: + contents.append( + Content.from_function_call( + call_id=local_call_id, + name=local_shell_tool_name, + arguments=json.dumps({"command": local_command}), + additional_properties={ + OPENAI_SHELL_OUTPUT_TYPE_KEY: OPENAI_SHELL_OUTPUT_TYPE_LOCAL_SHELL_CALL, + OPENAI_LOCAL_SHELL_CALL_ITEM_ID_KEY: getattr(event_item, "id", None), + OPENAI_LOCAL_SHELL_COMMAND_PARTS_KEY: local_command_parts, + }, + raw_representation=event_item, + ) + ) + else: + contents.append( + Content.from_shell_tool_call( + call_id=local_call_id, + commands=[local_command] if local_command else [], + timeout_ms=getattr(getattr(event_item, "action", None), "timeout_ms", None), + status=getattr(event_item, "status", None), + raw_representation=event_item, + ) + ) + case "shell_call_output": # ResponseFunctionShellToolCallOutput + s_out_call_id = getattr(event_item, "call_id", None) or "" + s_outputs: list[Content] = [] + for s_out in getattr(event_item, "output", []) or []: + s_exit_code: int | None = None + s_timed_out: bool | None = None + if s_outcome := getattr(s_out, "outcome", None): + if getattr(s_outcome, "type", None) == "exit": + s_exit_code = getattr(s_outcome, "exit_code", None) + s_timed_out = False + elif getattr(s_outcome, "type", None) == "timeout": + s_timed_out = True + s_outputs.append( + Content.from_shell_command_output( + stdout=getattr(s_out, "stdout", None), + stderr=getattr(s_out, "stderr", None), + exit_code=s_exit_code, + timed_out=s_timed_out, + raw_representation=s_out, + ) + ) + contents.append( + Content.from_shell_tool_result( + call_id=s_out_call_id, + outputs=s_outputs, + max_output_length=getattr(event_item, "max_output_length", None), + raw_representation=event_item, + ) + ) case "reasoning": # ResponseOutputReasoning reasoning_id = getattr(event_item, "id", None) added_reasoning = False diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py index 8a8885b919..c858ff1e3f 100644 --- a/python/packages/core/tests/core/test_types.py +++ b/python/packages/core/tests/core/test_types.py @@ -332,6 +332,120 @@ def test_mcp_server_tool_call_and_result(): assert call2.call_id == "" +# region: Shell tool content + + +def test_shell_tool_call_content_creation(): + call = Content.from_shell_tool_call( + call_id="shell-1", + commands=["ls -la", "pwd"], + timeout_ms=60000, + max_output_length=4096, + status="completed", + ) + + assert call.type == "shell_tool_call" + assert call.call_id == "shell-1" + assert call.commands == ["ls -la", "pwd"] + assert call.timeout_ms == 60000 + assert call.max_output_length == 4096 + assert call.status == "completed" + + +def test_shell_tool_call_content_minimal(): + call = Content.from_shell_tool_call(call_id="shell-2") + + assert call.type == "shell_tool_call" + assert call.call_id == "shell-2" + assert call.commands is None + assert call.timeout_ms is None + assert call.max_output_length is None + assert call.status is None + + +def test_shell_tool_result_content_creation(): + result = Content.from_shell_tool_result( + call_id="shell-1", + outputs=[ + Content.from_shell_command_output(stdout="hello world\n", stderr=None, exit_code=0, timed_out=False), + Content.from_shell_command_output(stderr="error msg", exit_code=1, timed_out=False), + ], + max_output_length=4096, + ) + + assert result.type == "shell_tool_result" + assert result.call_id == "shell-1" + assert result.outputs is not None + assert len(result.outputs) == 2 + assert result.outputs[0].type == "shell_command_output" + assert result.outputs[0].stdout == "hello world\n" + assert result.outputs[0].exit_code == 0 + assert result.outputs[0].timed_out is False + assert result.outputs[1].type == "shell_command_output" + assert result.outputs[1].stderr == "error msg" + assert result.outputs[1].exit_code == 1 + assert result.max_output_length == 4096 + + +def test_shell_tool_result_with_timeout(): + result = Content.from_shell_tool_result( + call_id="shell-t", + outputs=[Content.from_shell_command_output(stdout="partial", timed_out=True)], + ) + + assert result.type == "shell_tool_result" + assert result.outputs is not None + assert result.outputs[0].timed_out is True + assert result.outputs[0].exit_code is None + + +def test_shell_command_output_content_creation(): + output = Content.from_shell_command_output( + stdout="hello\n", + stderr="warn\n", + exit_code=0, + timed_out=False, + ) + + assert output.type == "shell_command_output" + assert output.stdout == "hello\n" + assert output.stderr == "warn\n" + assert output.exit_code == 0 + assert output.timed_out is False + + +def test_shell_content_serialization_roundtrip(): + call = Content.from_shell_tool_call( + call_id="shell-r", + commands=["echo hello"], + timeout_ms=30000, + status="completed", + ) + call_dict = call.to_dict() + restored_call = Content.from_dict(call_dict) + assert restored_call.type == "shell_tool_call" + assert restored_call.call_id == "shell-r" + assert restored_call.commands == ["echo hello"] + assert restored_call.timeout_ms == 30000 + assert restored_call.status == "completed" + + result = Content.from_shell_tool_result( + call_id="shell-r", + outputs=[Content.from_shell_command_output(stdout="hello\n", exit_code=0, timed_out=False)], + max_output_length=4096, + ) + result_dict = result.to_dict() + restored_result = Content.from_dict(result_dict) + assert restored_result.type == "shell_tool_result" + assert restored_result.call_id == "shell-r" + assert restored_result.outputs is not None + assert len(restored_result.outputs) == 1 + assert restored_result.outputs[0].type == "shell_command_output" + assert restored_result.outputs[0].stdout == "hello\n" + assert restored_result.outputs[0].exit_code == 0 + assert restored_result.max_output_length == 4096 + + # region: HostedVectorStoreContent diff --git a/python/packages/core/tests/openai/test_openai_assistants_client.py b/python/packages/core/tests/openai/test_openai_assistants_client.py index 1ce40eeba0..21f7173ca3 100644 --- a/python/packages/core/tests/openai/test_openai_assistants_client.py +++ b/python/packages/core/tests/openai/test_openai_assistants_client.py @@ -7,19 +7,6 @@ from typing import Annotated, Any from unittest.mock import AsyncMock, MagicMock, patch import pytest -from agent_framework import ( - Agent, - AgentResponse, - AgentResponseUpdate, - AgentSession, - ChatResponse, - ChatResponseUpdate, - Content, - Message, - SupportsChatGetResponse, - tool, -) -from agent_framework.openai import OpenAIAssistantsClient from openai.types.beta.threads import ( FileCitationAnnotation, FilePathAnnotation, @@ -35,6 +22,20 @@ from openai.types.beta.threads.file_path_delta_annotation import FilePathDeltaAn from openai.types.beta.threads.runs import RunStep from pydantic import Field +from agent_framework import ( + Agent, + AgentResponse, + AgentResponseUpdate, + AgentSession, + ChatResponse, + ChatResponseUpdate, + Content, + Message, + SupportsChatGetResponse, + tool, +) +from agent_framework.openai import OpenAIAssistantsClient + skip_if_openai_integration_tests_disabled = pytest.mark.skipif( os.getenv("OPENAI_API_KEY", "") in ("", "test-dummy-key"), reason="No real OPENAI_API_KEY provided; skipping integration tests.", @@ -1720,8 +1721,6 @@ class TestMessageCompletedAnnotations: assert ann["annotated_regions"][0]["start_index"] == 10 assert ann["annotated_regions"][0]["end_index"] == 24 - - @pytest.mark.asyncio async def test_message_completed_with_file_path(self, client): """Verify file path annotations are extracted from completed messages.""" diff --git a/python/packages/core/tests/openai/test_openai_responses_client.py b/python/packages/core/tests/openai/test_openai_responses_client.py index 7eaae1e776..e049dbd16e 100644 --- a/python/packages/core/tests/openai/test_openai_responses_client.py +++ b/python/packages/core/tests/openai/test_openai_responses_client.py @@ -31,6 +31,7 @@ from agent_framework import ( ChatResponse, ChatResponseUpdate, Content, + FunctionTool, Message, SupportsChatGetResponse, tool, @@ -38,6 +39,7 @@ from agent_framework import ( from agent_framework.exceptions import ChatClientException, ChatClientInvalidRequestException from agent_framework.openai import OpenAIResponsesClient from agent_framework.openai._exceptions import OpenAIContentFilterException +from agent_framework.openai._responses_client import OPENAI_LOCAL_SHELL_CALL_ITEM_ID_KEY skip_if_openai_integration_tests_disabled = pytest.mark.skipif( os.getenv("OPENAI_API_KEY", "") in ("", "test-dummy-key"), @@ -564,6 +566,386 @@ def test_response_content_creation_with_code_interpreter() -> None: assert any(out.type == "uri" for out in result_content.outputs) +def test_get_shell_tool_basic() -> None: + """Test get_shell_tool returns hosted shell config with default auto environment.""" + tool = OpenAIResponsesClient.get_shell_tool() + assert tool.type == "shell" + assert tool.environment.type == "container_auto" + + +def test_get_shell_tool_rejects_local_without_func() -> None: + """Local environment requires a local function executor.""" + with pytest.raises(ValueError, match="Local shell requires func"): + OpenAIResponsesClient.get_shell_tool(environment={"type": "local"}) + + +def test_get_shell_tool_rejects_environment_config_with_func() -> None: + """Environment config is hosted-only and must not be passed with func.""" + + def local_exec(command: str) -> str: + return command + + with pytest.raises(ValueError, match="environment config is not supported"): + OpenAIResponsesClient.get_shell_tool( + func=local_exec, + environment={"type": "container_auto"}, + ) + + +def test_get_shell_tool_local_executor_maps_to_shell_tool() -> None: + """Test local shell FunctionTool maps to OpenAI shell tool declaration.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + + def local_exec(command: str) -> str: + return command + + local_shell_tool = OpenAIResponsesClient.get_shell_tool( + func=local_exec, + approval_mode="never_require", + ) + + assert isinstance(local_shell_tool, FunctionTool) + response_tools = client._prepare_tools_for_openai([local_shell_tool]) + assert len(response_tools) == 1 + assert response_tools[0].type == "shell" + assert response_tools[0].environment.type == "local" + + +def test_get_shell_tool_reuses_function_tool_instance() -> None: + """Passing a FunctionTool should update and return the same tool instance.""" + + @tool(name="run_shell", approval_mode="never_require") + def run_shell(command: str) -> str: + return command + + shell_tool = OpenAIResponsesClient.get_shell_tool( + func=run_shell, + description="Run local shell command", + approval_mode="always_require", + ) + + assert shell_tool is run_shell + assert shell_tool.kind == "shell" + assert shell_tool.description == "Run local shell command" + assert shell_tool.approval_mode == "always_require" + assert (shell_tool.additional_properties or {}).get("openai.responses.shell.environment") == {"type": "local"} + + +def test_response_content_creation_with_local_shell_call_maps_to_function_call() -> None: + """Test local_shell_call is translated into function_call for invocation loop.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + + def local_exec(command: str) -> str: + return command + + local_shell_tool = OpenAIResponsesClient.get_shell_tool(func=local_exec) + + mock_response = MagicMock() + mock_response.output_parsed = None + mock_response.metadata = {} + mock_response.usage = None + mock_response.id = "test-id" + mock_response.model = "test-model" + mock_response.created_at = 1000000000 + mock_response.status = "completed" + mock_response.incomplete = None + + mock_action = MagicMock() + mock_action.command = ["python", "--version"] + mock_action.timeout_ms = 30000 + + mock_local_shell_call = MagicMock() + mock_local_shell_call.type = "local_shell_call" + mock_local_shell_call.id = "local-shell-item-1" + mock_local_shell_call.call_id = "local-shell-call-1" + mock_local_shell_call.action = mock_action + mock_local_shell_call.status = "completed" + + mock_response.output = [mock_local_shell_call] + + response = client._parse_response_from_openai(mock_response, options={"tools": [local_shell_tool]}) # type: ignore[arg-type] + assert len(response.messages[0].contents) == 1 + call_content = response.messages[0].contents[0] + assert call_content.type == "function_call" + assert call_content.call_id == "local-shell-call-1" + assert call_content.name == local_shell_tool.name + assert call_content.parse_arguments() == {"command": "python --version"} + assert call_content.additional_properties[OPENAI_LOCAL_SHELL_CALL_ITEM_ID_KEY] == "local-shell-item-1" + + +@pytest.mark.asyncio +async def test_local_shell_tool_is_invoked_in_function_loop() -> None: + """Test local shell call executes executor and sends local_shell_call_output.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + executed_commands: list[str] = [] + + def local_exec(command: str) -> str: + executed_commands.append(command) + return "Python 3.13.0" + + local_shell_tool = OpenAIResponsesClient.get_shell_tool( + func=local_exec, + approval_mode="never_require", + ) + + mock_response1 = MagicMock() + mock_response1.output_parsed = None + mock_response1.metadata = {} + mock_response1.usage = None + mock_response1.id = "resp-1" + mock_response1.model = "test-model" + mock_response1.created_at = 1000000000 + mock_response1.status = "completed" + mock_response1.finish_reason = "tool_calls" + mock_response1.incomplete = None + + mock_action = MagicMock() + mock_action.command = ["python", "--version"] + mock_action.timeout_ms = 30000 + + mock_local_shell_call = MagicMock() + mock_local_shell_call.type = "local_shell_call" + mock_local_shell_call.id = "local-shell-item-1" + mock_local_shell_call.call_id = "local-shell-call-1" + mock_local_shell_call.action = mock_action + mock_local_shell_call.status = "completed" + mock_response1.output = [mock_local_shell_call] + + mock_response2 = MagicMock() + mock_response2.output_parsed = None + mock_response2.metadata = {} + mock_response2.usage = None + mock_response2.id = "resp-2" + mock_response2.model = "test-model" + mock_response2.created_at = 1000000001 + mock_response2.status = "completed" + mock_response2.finish_reason = "stop" + mock_response2.incomplete = None + + mock_text_item = MagicMock() + mock_text_item.type = "message" + mock_text_content = MagicMock() + mock_text_content.type = "output_text" + mock_text_content.text = "Python 3.13.0" + mock_text_item.content = [mock_text_content] + mock_response2.output = [mock_text_item] + + with patch.object(client.client.responses, "create", side_effect=[mock_response1, mock_response2]) as mock_create: + await client.get_response( + messages=[Message(role="user", text="What Python version is available?")], + options={"tools": [local_shell_tool]}, + ) + + assert executed_commands == ["python --version"] + assert mock_create.call_count == 2 + second_call_input = mock_create.call_args_list[1].kwargs["input"] + local_shell_outputs = [item for item in second_call_input if item.get("type") == "local_shell_call_output"] + assert len(local_shell_outputs) == 1 + output_payload = json.loads(local_shell_outputs[0]["output"]) + assert output_payload["stdout"] == "Python 3.13.0" + + +@pytest.mark.asyncio +async def test_shell_call_is_invoked_as_local_shell_function_loop() -> None: + """Test shell_call maps to local function invocation and returns shell_call_output.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + executed_commands: list[str] = [] + + def local_exec(command: str) -> str: + executed_commands.append(command) + return "Python 3.13.0" + + local_shell_tool = OpenAIResponsesClient.get_shell_tool( + func=local_exec, + approval_mode="never_require", + ) + + mock_response1 = MagicMock() + mock_response1.output_parsed = None + mock_response1.metadata = {} + mock_response1.usage = None + mock_response1.id = "resp-1" + mock_response1.model = "test-model" + mock_response1.created_at = 1000000000 + mock_response1.status = "completed" + mock_response1.finish_reason = "tool_calls" + mock_response1.incomplete = None + + mock_action = MagicMock() + mock_action.commands = ["python --version"] + mock_action.timeout_ms = 30000 + mock_action.max_output_length = 4096 + + mock_shell_call = MagicMock() + mock_shell_call.type = "shell_call" + mock_shell_call.id = "sh_test_shell_call_1" + mock_shell_call.call_id = "shell-call-1" + mock_shell_call.action = mock_action + mock_shell_call.status = "completed" + mock_response1.output = [mock_shell_call] + + mock_response2 = MagicMock() + mock_response2.output_parsed = None + mock_response2.metadata = {} + mock_response2.usage = None + mock_response2.id = "resp-2" + mock_response2.model = "test-model" + mock_response2.created_at = 1000000001 + mock_response2.status = "completed" + mock_response2.finish_reason = "stop" + mock_response2.incomplete = None + + mock_text_item = MagicMock() + mock_text_item.type = "message" + mock_text_content = MagicMock() + mock_text_content.type = "output_text" + mock_text_content.text = "Python 3.13.0" + mock_text_item.content = [mock_text_content] + mock_response2.output = [mock_text_item] + + with patch.object(client.client.responses, "create", side_effect=[mock_response1, mock_response2]) as mock_create: + await client.get_response( + messages=[Message(role="user", text="What Python version is available?")], + options={"tools": [local_shell_tool]}, + ) + + assert executed_commands == ["python --version"] + assert mock_create.call_count == 2 + second_call_input = mock_create.call_args_list[1].kwargs["input"] + shell_outputs = [item for item in second_call_input if item.get("type") == "shell_call_output"] + assert len(shell_outputs) == 1 + assert shell_outputs[0]["call_id"] == "shell-call-1" + assert isinstance(shell_outputs[0]["output"], list) + assert shell_outputs[0]["output"][0]["stdout"] == "Python 3.13.0" + local_shell_outputs = [item for item in second_call_input if item.get("type") == "local_shell_call_output"] + assert len(local_shell_outputs) == 0 + + +def test_response_content_creation_with_shell_call() -> None: + """Test _parse_response_from_openai with shell_call output.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + + mock_response = MagicMock() + mock_response.output_parsed = None + mock_response.metadata = {} + mock_response.usage = None + mock_response.id = "test-id" + mock_response.model = "test-model" + mock_response.created_at = 1000000000 + mock_response.status = "completed" + mock_response.incomplete = None + + mock_action = MagicMock() + mock_action.commands = ["ls -la", "pwd"] + mock_action.timeout_ms = 60000 + mock_action.max_output_length = 4096 + + mock_shell_call = MagicMock() + mock_shell_call.type = "shell_call" + mock_shell_call.call_id = "shell-call-1" + mock_shell_call.action = mock_action + mock_shell_call.status = "completed" + + mock_response.output = [mock_shell_call] + + response = client._parse_response_from_openai(mock_response, options={}) # type: ignore + + assert len(response.messages[0].contents) == 1 + call_content = response.messages[0].contents[0] + assert call_content.type == "shell_tool_call" + assert call_content.call_id == "shell-call-1" + assert call_content.commands == ["ls -la", "pwd"] + assert call_content.timeout_ms == 60000 + assert call_content.max_output_length == 4096 + assert call_content.status == "completed" + + +def test_response_content_creation_with_shell_call_output() -> None: + """Test _parse_response_from_openai with shell_call_output output.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + + mock_response = MagicMock() + mock_response.output_parsed = None + mock_response.metadata = {} + mock_response.usage = None + mock_response.id = "test-id" + mock_response.model = "test-model" + mock_response.created_at = 1000000000 + mock_response.status = "completed" + mock_response.incomplete = None + + mock_outcome = MagicMock() + mock_outcome.type = "exit" + mock_outcome.exit_code = 0 + + mock_output_entry = MagicMock() + mock_output_entry.stdout = "hello world\n" + mock_output_entry.stderr = "" + mock_output_entry.outcome = mock_outcome + + mock_shell_output = MagicMock() + mock_shell_output.type = "shell_call_output" + mock_shell_output.call_id = "shell-call-1" + mock_shell_output.output = [mock_output_entry] + mock_shell_output.max_output_length = 4096 + + mock_response.output = [mock_shell_output] + + response = client._parse_response_from_openai(mock_response, options={}) # type: ignore + + assert len(response.messages[0].contents) == 1 + result_content = response.messages[0].contents[0] + assert result_content.type == "shell_tool_result" + assert result_content.call_id == "shell-call-1" + assert result_content.outputs is not None + assert len(result_content.outputs) == 1 + assert result_content.outputs[0].type == "shell_command_output" + assert result_content.outputs[0].stdout == "hello world\n" + assert result_content.outputs[0].exit_code == 0 + assert result_content.outputs[0].timed_out is False + assert result_content.max_output_length == 4096 + + +def test_response_content_creation_with_shell_call_timeout() -> None: + """Test _parse_response_from_openai with shell_call_output that timed out.""" + client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") + + mock_response = MagicMock() + mock_response.output_parsed = None + mock_response.metadata = {} + mock_response.usage = None + mock_response.id = "test-id" + mock_response.model = "test-model" + mock_response.created_at = 1000000000 + mock_response.status = "completed" + mock_response.incomplete = None + + mock_outcome = MagicMock() + mock_outcome.type = "timeout" + + mock_output_entry = MagicMock() + mock_output_entry.stdout = "partial output" + mock_output_entry.stderr = None + mock_output_entry.outcome = mock_outcome + + mock_shell_output = MagicMock() + mock_shell_output.type = "shell_call_output" + mock_shell_output.call_id = "shell-call-t" + mock_shell_output.output = [mock_output_entry] + mock_shell_output.max_output_length = None + + mock_response.output = [mock_shell_output] + + response = client._parse_response_from_openai(mock_response, options={}) # type: ignore + + result_content = response.messages[0].contents[0] + assert result_content.type == "shell_tool_result" + assert result_content.outputs is not None + assert result_content.outputs[0].type == "shell_command_output" + assert result_content.outputs[0].timed_out is True + assert result_content.outputs[0].exit_code is None + + def test_response_content_creation_with_function_call() -> None: """Test _parse_response_from_openai with function call content.""" client = OpenAIResponsesClient(model_id="test-model", api_key="test-key") diff --git a/python/packages/core/tests/workflow/test_agent_executor.py b/python/packages/core/tests/workflow/test_agent_executor.py index db53868ee1..4a850db642 100644 --- a/python/packages/core/tests/workflow/test_agent_executor.py +++ b/python/packages/core/tests/workflow/test_agent_executor.py @@ -286,9 +286,7 @@ async def test_agent_executor_run_streaming_with_stream_kwarg_does_not_raise() - @pytest.mark.parametrize("reserved_kwarg", ["session", "stream", "messages"]) -async def test_prepare_agent_run_args_strips_reserved_kwargs( - reserved_kwarg: str, caplog: "LogCaptureFixture" -) -> None: +async def test_prepare_agent_run_args_strips_reserved_kwargs(reserved_kwarg: str, caplog: "LogCaptureFixture") -> None: """_prepare_agent_run_args must remove reserved kwargs and log a warning.""" raw = {reserved_kwarg: "should-be-stripped", "custom_key": "keep-me"} diff --git a/python/packages/core/tests/workflow/test_workflow_kwargs.py b/python/packages/core/tests/workflow/test_workflow_kwargs.py index 379435e124..ce1465effc 100644 --- a/python/packages/core/tests/workflow/test_workflow_kwargs.py +++ b/python/packages/core/tests/workflow/test_workflow_kwargs.py @@ -499,9 +499,7 @@ async def test_kwargs_preserved_on_response_continuation() -> None: # Continue with responses only — no new kwargs approval = request_events[0] - await workflow.run( - responses={approval.request_id: approval.data.to_function_approval_response(True)} - ) + await workflow.run(responses={approval.request_id: approval.data.to_function_approval_response(True)}) # Both calls should have received the original kwargs assert len(agent.captured_kwargs) == 2 diff --git a/python/samples/02-agents/providers/anthropic/anthropic_with_shell.py b/python/samples/02-agents/providers/anthropic/anthropic_with_shell.py new file mode 100644 index 0000000000..40c6aedc43 --- /dev/null +++ b/python/samples/02-agents/providers/anthropic/anthropic_with_shell.py @@ -0,0 +1,100 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +import subprocess +from typing import Any + +from agent_framework import Agent, Message, tool +from agent_framework.anthropic import AnthropicClient +from dotenv import load_dotenv + +# Load environment variables from .env file +load_dotenv() + +""" +Anthropic Client with Shell Tool Example + +This sample demonstrates using @tool(approval_mode=...) with AnthropicClient +for executing bash commands locally. The bash tool tells the model it can +request shell commands, while the actual execution happens on YOUR machine +via a user-provided function. + +SECURITY NOTE: This example executes real commands on your local machine. +Only enable this when you trust the agent's actions. Consider implementing +allowlists, sandboxing, or approval workflows for production use. +""" + + +@tool(approval_mode="always_require") +def run_bash(command: str) -> str: + """Execute a bash command using subprocess and return the output.""" + try: + result = subprocess.run( + command, + shell=True, + capture_output=True, + text=True, + timeout=30, + ) + parts: list[str] = [] + if result.stdout: + parts.append(result.stdout) + if result.stderr: + parts.append(f"stderr: {result.stderr}") + parts.append(f"exit_code: {result.returncode}") + return "\n".join(parts) + except subprocess.TimeoutExpired: + return "Command timed out after 30 seconds" + except Exception as e: + return f"Error executing command: {e}" + + +async def main() -> None: + """Example showing how to use the shell tool with AnthropicClient.""" + print("=== Anthropic Agent with Shell Tool Example ===") + print("NOTE: Commands will execute on your local machine.\n") + + client = AnthropicClient() + shell = client.get_shell_tool(func=run_bash) + agent = Agent( + client=client, + instructions="You are a helpful assistant that can execute bash commands to answer questions.", + tools=[shell], + ) + + query = "Use bash to print 'Hello from Anthropic shell!' and show the current working directory" + print(f"User: {query}") + result = await run_with_approvals(query, agent) + print(f"Result: {result}\n") + + +async def run_with_approvals(query: str, agent: Agent) -> Any: + """Run the agent and handle shell approvals outside tool execution.""" + current_input: str | list[Any] = query + while True: + result = await agent.run(current_input) + if not result.user_input_requests: + return result + + next_input: list[Any] = [query] + rejected = False + for user_input_needed in result.user_input_requests: + print( + f"\nShell request: {user_input_needed.function_call.name}" + f"\nArguments: {user_input_needed.function_call.arguments}" + ) + user_approval = await asyncio.to_thread(input, "\nApprove shell command? (y/n): ") + approved = user_approval.strip().lower() == "y" + next_input.append(Message("assistant", [user_input_needed])) + next_input.append(Message("user", [user_input_needed.to_function_approval_response(approved)])) + if not approved: + rejected = True + break + if rejected: + print("\nShell command rejected. Stopping without additional approval prompts.") + return "Shell command execution was rejected by user." + current_input = next_input + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/python/samples/02-agents/providers/openai/openai_responses_client_with_local_shell.py b/python/samples/02-agents/providers/openai/openai_responses_client_with_local_shell.py new file mode 100644 index 0000000000..b3135702a7 --- /dev/null +++ b/python/samples/02-agents/providers/openai/openai_responses_client_with_local_shell.py @@ -0,0 +1,116 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +import subprocess +from typing import Any + +from agent_framework import Agent, Message, tool +from agent_framework.openai import OpenAIResponsesClient +from dotenv import load_dotenv + +# Load environment variables from .env file +load_dotenv() + +""" +OpenAI Responses Client with Local Shell Tool Example + +This sample demonstrates implementing a local shell tool using get_shell_tool(func=...) +that wraps Python's subprocess module. Unlike the hosted shell tool (get_shell_tool()), +local shell execution runs commands on YOUR machine, not in a remote container. + +SECURITY NOTE: This example executes real commands on your local machine. +Only enable this when you trust the agent's actions. Consider implementing +allowlists, sandboxing, or approval workflows for production use. +""" + + +@tool(approval_mode="always_require") +def run_bash(command: str) -> str: + """Execute a shell command locally and return stdout, stderr, and exit code.""" + try: + result = subprocess.run( + command, + shell=True, + capture_output=True, + text=True, + timeout=30, + ) + parts: list[str] = [] + if result.stdout: + parts.append(result.stdout) + if result.stderr: + parts.append(f"stderr: {result.stderr}") + parts.append(f"exit_code: {result.returncode}") + return "\n".join(parts) + except subprocess.TimeoutExpired: + return "Command timed out after 30 seconds" + except Exception as e: + return f"Error executing command: {e}" + + +async def main() -> None: + """Example showing how to use a local shell tool with OpenAI.""" + print("=== OpenAI Agent with Local Shell Tool Example ===") + print("NOTE: Commands will execute on your local machine.\n") + + client = OpenAIResponsesClient() + local_shell_tool = client.get_shell_tool( + func=run_bash, + ) + + agent = Agent( + client=client, + instructions="You are a helpful assistant that can run shell commands to help the user.", + tools=[local_shell_tool], + ) + + query = "Use the run_bash tool to execute `python --version` and show only the command output." + print(f"User: {query}") + result = await run_with_approvals(query, agent) + if isinstance(result, str): + print(f"Agent: {result}\n") + return + if result.text: + print(f"Agent: {result.text}\n") + else: + printed = False + for message in result.messages: + for content in message.contents: + if content.type == "function_result" and content.result: + print(f"Agent (tool output): {content.result}\n") + printed = True + if not printed: + print("Agent: (no text output returned)\n") + + +async def run_with_approvals(query: str, agent: Agent) -> Any: + """Run the agent and handle shell approvals outside tool execution.""" + current_input: str | list[Any] = query + + while True: + result = await agent.run(current_input) + if not result.user_input_requests: + return result + + next_input: list[Any] = [query] + rejected = False + for user_input_needed in result.user_input_requests: + print( + f"\nShell request: {user_input_needed.function_call.name}" + f"\nArguments: {user_input_needed.function_call.arguments}" + ) + user_approval = await asyncio.to_thread(input, "\nApprove shell command? (y/n): ") + approved = user_approval.strip().lower() == "y" + next_input.append(Message("assistant", [user_input_needed])) + next_input.append(Message("user", [user_input_needed.to_function_approval_response(approved)])) + if not approved: + rejected = True + break + if rejected: + print("\nShell command rejected. Stopping without additional approval prompts.") + return "Shell command execution was rejected by user." + current_input = next_input + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/python/samples/02-agents/providers/openai/openai_responses_client_with_shell.py b/python/samples/02-agents/providers/openai/openai_responses_client_with_shell.py new file mode 100644 index 0000000000..b86f36fde5 --- /dev/null +++ b/python/samples/02-agents/providers/openai/openai_responses_client_with_shell.py @@ -0,0 +1,61 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio + +from agent_framework import Agent +from agent_framework.openai import OpenAIResponsesClient +from dotenv import load_dotenv + +# Load environment variables from .env file +load_dotenv() + +""" +OpenAI Responses Client with Shell Tool Example + +This sample demonstrates using get_shell_tool() with OpenAI Responses Client +for executing shell commands in a managed container environment hosted by OpenAI. + +The shell tool allows the model to run commands like listing files, running scripts, +or performing system operations within a secure, sandboxed container. +""" + + +async def main() -> None: + """Example showing how to use the shell tool with OpenAI Responses.""" + print("=== OpenAI Responses Agent with Shell Tool Example ===") + + client = OpenAIResponsesClient() + + # Create a hosted shell tool with the default auto container environment + shell_tool = client.get_shell_tool() + + agent = Agent( + client=client, + instructions="You are a helpful assistant that can execute shell commands to answer questions.", + tools=shell_tool, + ) + + query = "Use a shell command to show the current date and time" + print(f"User: {query}") + result = await agent.run(query) + print(f"Result: {result}\n") + + # Print shell-specific content details + for message in result.messages: + shell_calls = [c for c in message.contents if c.type == "shell_tool_call"] + shell_results = [c for c in message.contents if c.type == "shell_tool_result"] + + if shell_calls: + print(f"Shell commands: {shell_calls[0].commands}") + if shell_results and shell_results[0].outputs: + for output in shell_results[0].outputs: + if output.stdout: + print(f"Stdout: {output.stdout}") + if output.stderr: + print(f"Stderr: {output.stderr}") + if output.exit_code is not None: + print(f"Exit code: {output.exit_code}") + + +if __name__ == "__main__": + asyncio.run(main()) From d5da6e05d8c84baf3cdee30443778d9f3b44c444 Mon Sep 17 00:00:00 2001 From: westey <164392973+westey-m@users.noreply.github.com> Date: Tue, 3 Mar 2026 17:25:22 +0000 Subject: [PATCH 37/59] .NET: [BREAKING] Change *Provider StateKey to list of StateKeys (#4395) * Change *Provider StateKey to list of StateKeys * Add more statekey validation tests * Address PR comments --- .../01-get-started/04_memory/Program.cs | 3 +- .../Program.cs | 3 +- .../AIContextProvider.cs | 13 +- .../ChatHistoryProvider.cs | 12 +- .../InMemoryChatHistoryProvider.cs | 3 +- .../CosmosChatHistoryProvider.cs | 3 +- .../FoundryMemoryProvider.cs | 3 +- .../Microsoft.Agents.AI.Mem0/Mem0Provider.cs | 3 +- .../WorkflowChatHistoryProvider.cs | 3 +- .../ChatClient/ChatClientAgent.cs | 40 +++-- .../Memory/ChatHistoryMemoryProvider.cs | 3 +- .../Microsoft.Agents.AI/TextSearchProvider.cs | 3 +- .../InMemoryChatHistoryProviderTests.cs | 10 +- .../CosmosChatHistoryProviderTests.cs | 10 +- .../Mem0ProviderTests.cs | 12 +- .../AIContextProviderChatClientTests.cs | 6 +- .../ChatClient/ChatClientAgentTests.cs | 148 ++++++++++++++++-- ...hatClientAgent_BackgroundResponsesTests.cs | 16 +- ...tClientAgent_ChatHistoryManagementTests.cs | 4 + .../Data/TextSearchProviderTests.cs | 10 +- .../Memory/ChatHistoryMemoryProviderTests.cs | 10 +- 21 files changed, 242 insertions(+), 76 deletions(-) diff --git a/dotnet/samples/01-get-started/04_memory/Program.cs b/dotnet/samples/01-get-started/04_memory/Program.cs index 3705e64f3a..a97941620f 100644 --- a/dotnet/samples/01-get-started/04_memory/Program.cs +++ b/dotnet/samples/01-get-started/04_memory/Program.cs @@ -89,6 +89,7 @@ namespace SampleApp internal sealed class UserInfoMemory : AIContextProvider { private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; private readonly IChatClient _chatClient; public UserInfoMemory(IChatClient chatClient, Func? stateInitializer = null) @@ -99,7 +100,7 @@ namespace SampleApp this._chatClient = chatClient; } - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; public UserInfo GetUserInfo(AgentSession session) => this._sessionState.GetOrInitializeState(session); diff --git a/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs index 63fa5c0751..78a8952082 100644 --- a/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs +++ b/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs @@ -79,6 +79,7 @@ namespace SampleApp internal sealed class VectorChatHistoryProvider : ChatHistoryProvider { private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; private readonly VectorStore _vectorStore; public VectorChatHistoryProvider( @@ -92,7 +93,7 @@ namespace SampleApp this._vectorStore = vectorStore ?? throw new ArgumentNullException(nameof(vectorStore)); } - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; public string GetSessionDbKey(AgentSession session) => this._sessionState.GetOrInitializeState(session).SessionDbKey; diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/AIContextProvider.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/AIContextProvider.cs index 82e5f2c360..5ccf139363 100644 --- a/dotnet/src/Microsoft.Agents.AI.Abstractions/AIContextProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Abstractions/AIContextProvider.cs @@ -36,6 +36,8 @@ public abstract class AIContextProvider private static IEnumerable DefaultNoopFilter(IEnumerable messages) => messages; + private IReadOnlyList? _stateKeys; + /// /// Initializes a new instance of the class. /// @@ -68,14 +70,15 @@ public abstract class AIContextProvider protected Func, IEnumerable> StoreInputResponseMessageFilter { get; } /// - /// Gets the key used to store the provider state in the . + /// Gets the set of keys used to store the provider state in the . /// /// - /// The default value is the name of the concrete type (e.g. "TextSearchProvider"). - /// Implementations may override this to provide a custom key, for example when multiple - /// instances of the same provider type are used in the same session. + /// The default value is a single-element set containing the name of the concrete type (e.g. "TextSearchProvider"). + /// Implementations may override this to provide custom keys, for example when multiple + /// instances of the same provider type are used in the same session, or when a provider + /// stores state under more than one key. /// - public virtual string StateKey => this.GetType().Name; + public virtual IReadOnlyList StateKeys => this._stateKeys ??= [this.GetType().Name]; /// /// Called at the start of agent invocation to provide additional context. diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/ChatHistoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/ChatHistoryProvider.cs index df9ff0069e..c7dfb4a233 100644 --- a/dotnet/src/Microsoft.Agents.AI.Abstractions/ChatHistoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Abstractions/ChatHistoryProvider.cs @@ -45,6 +45,7 @@ public abstract class ChatHistoryProvider private static IEnumerable DefaultNoopFilter(IEnumerable messages) => messages; + private IReadOnlyList? _stateKeys; private readonly Func, IEnumerable>? _provideOutputMessageFilter; private readonly Func, IEnumerable> _storeInputRequestMessageFilter; private readonly Func, IEnumerable> _storeInputResponseMessageFilter; @@ -66,14 +67,15 @@ public abstract class ChatHistoryProvider } /// - /// Gets the key used to store the provider state in the . + /// Gets the set of keys used to store the provider state in the . /// /// - /// The default value is the name of the concrete type (e.g. "InMemoryChatHistoryProvider"). - /// Implementations may override this to provide a custom key, for example when multiple - /// instances of the same provider type are used in the same session. + /// The default value is a single-element set containing the name of the concrete type (e.g. "InMemoryChatHistoryProvider"). + /// Implementations may override this to provide custom keys, for example when multiple + /// instances of the same provider type are used in the same session, or when a provider + /// stores state under more than one key. /// - public virtual string StateKey => this.GetType().Name; + public virtual IReadOnlyList StateKeys => this._stateKeys ??= [this.GetType().Name]; /// /// Called at the start of agent invocation to provide messages for the next agent invocation. diff --git a/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProvider.cs index e09dd6b0a0..7c7b28b7bd 100644 --- a/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Abstractions/InMemoryChatHistoryProvider.cs @@ -27,6 +27,7 @@ namespace Microsoft.Agents.AI; public sealed class InMemoryChatHistoryProvider : ChatHistoryProvider { private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; /// /// Initializes a new instance of the class. @@ -50,7 +51,7 @@ public sealed class InMemoryChatHistoryProvider : ChatHistoryProvider } /// - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; /// /// Gets the chat reducer used to process or reduce chat messages. If null, no reduction logic will be applied. diff --git a/dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosChatHistoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosChatHistoryProvider.cs index afaa59ee53..c9238889c9 100644 --- a/dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosChatHistoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.CosmosNoSql/CosmosChatHistoryProvider.cs @@ -22,6 +22,7 @@ namespace Microsoft.Agents.AI; public sealed class CosmosChatHistoryProvider : ChatHistoryProvider, IDisposable { private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; private readonly CosmosClient _cosmosClient; private readonly Container _container; private readonly bool _ownsClient; @@ -114,7 +115,7 @@ public sealed class CosmosChatHistoryProvider : ChatHistoryProvider, IDisposable } /// - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; /// /// Initializes a new instance of the class using a connection string. diff --git a/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProvider.cs index 0f7041e834..35baa055d1 100644 --- a/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.FoundryMemory/FoundryMemoryProvider.cs @@ -32,6 +32,7 @@ public sealed class FoundryMemoryProvider : AIContextProvider private const string DefaultContextPrompt = "## Memories\nConsider the following memories when answering user questions:"; private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; private readonly string _contextPrompt; private readonly string _memoryStoreName; private readonly int _maxMemories; @@ -82,7 +83,7 @@ public sealed class FoundryMemoryProvider : AIContextProvider } /// - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; private static Func ValidateStateInitializer(Func stateInitializer) => session => diff --git a/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0Provider.cs b/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0Provider.cs index 1e325b5683..678905e395 100644 --- a/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0Provider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Mem0/Mem0Provider.cs @@ -27,6 +27,7 @@ public sealed class Mem0Provider : MessageAIContextProvider private const string DefaultContextPrompt = "## Memories\nConsider the following memories when answering user questions:"; private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; private readonly string _contextPrompt; private readonly bool _enableSensitiveTelemetryData; @@ -72,7 +73,7 @@ public sealed class Mem0Provider : MessageAIContextProvider } /// - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; private static Func ValidateStateInitializer(Func stateInitializer) => session => diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/WorkflowChatHistoryProvider.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/WorkflowChatHistoryProvider.cs index 1fd42f923e..2815ed99f0 100644 --- a/dotnet/src/Microsoft.Agents.AI.Workflows/WorkflowChatHistoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI.Workflows/WorkflowChatHistoryProvider.cs @@ -12,6 +12,7 @@ namespace Microsoft.Agents.AI.Workflows; internal sealed class WorkflowChatHistoryProvider : ChatHistoryProvider { private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; /// /// Initializes a new instance of the class. @@ -30,7 +31,7 @@ internal sealed class WorkflowChatHistoryProvider : ChatHistoryProvider } /// - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; internal sealed class StoreState { diff --git a/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs b/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs index d52ea52e43..7db4eff6d8 100644 --- a/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs +++ b/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs @@ -112,7 +112,7 @@ public sealed partial class ChatClientAgent : AIAgent this.ChatHistoryProvider = options?.ChatHistoryProvider ?? new InMemoryChatHistoryProvider(); this.AIContextProviders = this._agentOptions?.AIContextProviders as IReadOnlyList ?? this._agentOptions?.AIContextProviders?.ToList(); - // Validate that no two providers share the same StateKey, since they would overwrite each other's state in the session. + // Validate that no two providers share any StateKeys, since they would overwrite each other's state in the session. this._aiContextProviderStateKeys = ValidateAndCollectStateKeys(this._agentOptions?.AIContextProviders, this.ChatHistoryProvider); this._logger = (loggerFactory ?? chatClient.GetService() ?? NullLoggerFactory.Instance).CreateLogger(); @@ -824,11 +824,17 @@ public sealed partial class ChatClientAgent : AIAgent $"Only {nameof(ChatClientAgentSession.ConversationId)} or {nameof(this.ChatHistoryProvider)} may be used, but not both. The current {nameof(ChatClientAgentSession)} has a {nameof(ChatClientAgentSession.ConversationId)} indicating server-side chat history management, but an override {nameof(this.ChatHistoryProvider)} was provided via {nameof(AgentRunOptions.AdditionalProperties)}."); } - // Validate that the override provider's StateKey does not clash with any AIContextProvider's StateKey. - if (overrideProvider is not null && this._aiContextProviderStateKeys.Contains(overrideProvider.StateKey)) + // Validate that the override provider's StateKeys do not clash with any AIContextProvider's StateKeys. + if (overrideProvider is not null) { - throw new InvalidOperationException( - $"The ChatHistoryProvider '{overrideProvider.GetType().Name}' uses the state key '{overrideProvider.StateKey}' which is already used by one of the configured AIContextProviders. Each provider must use a unique state key to avoid overwriting each other's state."); + foreach (var key in overrideProvider.StateKeys) + { + if (this._aiContextProviderStateKeys.Contains(key)) + { + throw new InvalidOperationException( + $"The ChatHistoryProvider '{overrideProvider.GetType().Name}' uses state key '{key}' which is already used by one of the configured AIContextProviders. Each provider must use unique state keys to avoid overwriting each other's state."); + } + } } provider = overrideProvider; @@ -879,7 +885,7 @@ public sealed partial class ChatClientAgent : AIAgent private string GetLoggingAgentName() => this.Name ?? "UnnamedAgent"; /// - /// Validates that all configured providers have unique values + /// Validates that all configured providers have unique values /// and returns a of the AIContextProvider state keys. /// private static HashSet ValidateAndCollectStateKeys(IEnumerable? aiContextProviders, ChatHistoryProvider? chatHistoryProvider) @@ -890,10 +896,13 @@ public sealed partial class ChatClientAgent : AIAgent { foreach (var provider in aiContextProviders) { - if (!stateKeys.Add(provider.StateKey)) + foreach (var key in provider.StateKeys) { - throw new InvalidOperationException( - $"Multiple providers use the same state key '{provider.StateKey}'. Each provider must use a unique state key to avoid overwriting each other's state."); + if (!stateKeys.Add(key)) + { + throw new InvalidOperationException( + $"Multiple providers use the same state key '{key}'. Each provider must use a unique state key to avoid overwriting each other's state."); + } } } } @@ -905,11 +914,16 @@ public sealed partial class ChatClientAgent : AIAgent $"The default {nameof(InMemoryChatHistoryProvider)} uses the state key '{nameof(InMemoryChatHistoryProvider)}', which is already used by one of the configured AIContextProviders. Each provider must use a unique state key to avoid overwriting each other's state. To resolve this, either configure a different state key for the AIContextProvider that is using '{nameof(InMemoryChatHistoryProvider)}' as its state key, or provide a custom ChatHistoryProvider with a unique state key."); } - if (chatHistoryProvider is not null - && stateKeys.Contains(chatHistoryProvider.StateKey)) + if (chatHistoryProvider is not null) { - throw new InvalidOperationException( - $"The ChatHistoryProvider '{chatHistoryProvider.GetType().Name}' uses the state key '{chatHistoryProvider.StateKey}' which is already used by one of the configured AIContextProviders. Each provider must use a unique state key to avoid overwriting each other's state. To resolve this, either configure a different state key for the AIContextProvider that is using '{chatHistoryProvider.StateKey}' as its state key, or reconfigure the custom ChatHistoryProvider with a unique state key."); + foreach (var key in chatHistoryProvider.StateKeys) + { + if (stateKeys.Contains(key)) + { + throw new InvalidOperationException( + $"The ChatHistoryProvider '{chatHistoryProvider.GetType().Name}' uses state key '{key}' which is already used by one of the configured AIContextProviders. Each provider must use unique state keys to avoid overwriting each other's state. To resolve this, either configure different state keys for the AIContextProvider that shares keys with the ChatHistoryProvider, or reconfigure the custom ChatHistoryProvider with unique state keys."); + } + } } return stateKeys; diff --git a/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProvider.cs b/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProvider.cs index cd59d1aaa3..80d5e1144f 100644 --- a/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI/Memory/ChatHistoryMemoryProvider.cs @@ -54,6 +54,7 @@ public sealed class ChatHistoryMemoryProvider : MessageAIContextProvider, IDispo private const string ContentEmbeddingField = "ContentEmbedding"; private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; #pragma warning disable CA2213 // VectorStore is not owned by this class - caller is responsible for disposal private readonly VectorStore _vectorStore; @@ -128,7 +129,7 @@ public sealed class ChatHistoryMemoryProvider : MessageAIContextProvider, IDispo } /// - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; /// protected override async ValueTask ProvideAIContextAsync(AIContextProvider.InvokingContext context, CancellationToken cancellationToken = default) diff --git a/dotnet/src/Microsoft.Agents.AI/TextSearchProvider.cs b/dotnet/src/Microsoft.Agents.AI/TextSearchProvider.cs index df53729fce..11611f0f69 100644 --- a/dotnet/src/Microsoft.Agents.AI/TextSearchProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI/TextSearchProvider.cs @@ -40,6 +40,7 @@ public sealed class TextSearchProvider : MessageAIContextProvider private const string DefaultCitationsPrompt = "Include citations to the source document with document name and link if document name and link is available."; private readonly ProviderSessionState _sessionState; + private IReadOnlyList? _stateKeys; private readonly Func>> _searchAsync; private readonly ILogger? _logger; private readonly AITool[] _tools; @@ -88,7 +89,7 @@ public sealed class TextSearchProvider : MessageAIContextProvider } /// - public override string StateKey => this._sessionState.StateKey; + public override IReadOnlyList StateKeys => this._stateKeys ??= [this._sessionState.StateKey]; /// protected override async ValueTask ProvideAIContextAsync(AIContextProvider.InvokingContext context, CancellationToken cancellationToken = default) diff --git a/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/InMemoryChatHistoryProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/InMemoryChatHistoryProviderTests.cs index 147ceaf195..94beb08bdf 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/InMemoryChatHistoryProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Abstractions.UnitTests/InMemoryChatHistoryProviderTests.cs @@ -43,23 +43,25 @@ public class InMemoryChatHistoryProviderTests } [Fact] - public void StateKey_ReturnsDefaultKey_WhenNoOptionsProvided() + public void StateKeys_ReturnsDefaultKey_WhenNoOptionsProvided() { // Arrange & Act var provider = new InMemoryChatHistoryProvider(); // Assert - Assert.Equal("InMemoryChatHistoryProvider", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("InMemoryChatHistoryProvider", provider.StateKeys); } [Fact] - public void StateKey_ReturnsCustomKey_WhenSetViaOptions() + public void StateKeys_ReturnsCustomKey_WhenSetViaOptions() { // Arrange & Act var provider = new InMemoryChatHistoryProvider(new() { StateKey = "custom-key" }); // Assert - Assert.Equal("custom-key", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("custom-key", provider.StateKeys); } [Fact] diff --git a/dotnet/tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/CosmosChatHistoryProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/CosmosChatHistoryProviderTests.cs index 736bf7f026..56d6293a58 100644 --- a/dotnet/tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/CosmosChatHistoryProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.CosmosNoSql.UnitTests/CosmosChatHistoryProviderTests.cs @@ -150,7 +150,7 @@ public sealed class CosmosChatHistoryProviderTests : IAsyncLifetime, IDisposable [SkippableFact] [Trait("Category", "CosmosDB")] - public void StateKey_ReturnsDefaultKey_WhenNoStateKeyProvided() + public void StateKeys_ReturnsDefaultKey_WhenNoStateKeyProvided() { // Arrange & Act this.SkipIfEmulatorNotAvailable(); @@ -159,12 +159,13 @@ public sealed class CosmosChatHistoryProviderTests : IAsyncLifetime, IDisposable _ => new CosmosChatHistoryProvider.State("test-conversation")); // Assert - Assert.Equal("CosmosChatHistoryProvider", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("CosmosChatHistoryProvider", provider.StateKeys); } [SkippableFact] [Trait("Category", "CosmosDB")] - public void StateKey_ReturnsCustomKey_WhenSetViaConstructor() + public void StateKeys_ReturnsCustomKey_WhenSetViaConstructor() { // Arrange & Act this.SkipIfEmulatorNotAvailable(); @@ -174,7 +175,8 @@ public sealed class CosmosChatHistoryProviderTests : IAsyncLifetime, IDisposable stateKey: "custom-key"); // Assert - Assert.Equal("custom-key", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("custom-key", provider.StateKeys); } [SkippableFact] diff --git a/dotnet/tests/Microsoft.Agents.AI.Mem0.UnitTests/Mem0ProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.Mem0.UnitTests/Mem0ProviderTests.cs index 9f9de9127b..3374270861 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Mem0.UnitTests/Mem0ProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Mem0.UnitTests/Mem0ProviderTests.cs @@ -67,17 +67,18 @@ public sealed class Mem0ProviderTests : IDisposable } [Fact] - public void StateKey_ReturnsDefaultKey_WhenNoOptionsProvided() + public void StateKeys_ReturnsDefaultKey_WhenNoOptionsProvided() { // Arrange & Act var provider = new Mem0Provider(this._httpClient, _ => new Mem0Provider.State(new Mem0ProviderScope { ThreadId = "tid" })); // Assert - Assert.Equal("Mem0Provider", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("Mem0Provider", provider.StateKeys); } [Fact] - public void StateKey_ReturnsCustomKey_WhenSetViaOptions() + public void StateKeys_ReturnsCustomKey_WhenSetViaOptions() { // Arrange & Act var provider = new Mem0Provider( @@ -86,7 +87,8 @@ public sealed class Mem0ProviderTests : IDisposable new Mem0ProviderOptions { StateKey = "custom-key" }); // Assert - Assert.Equal("custom-key", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("custom-key", provider.StateKeys); } [Fact] @@ -419,7 +421,7 @@ public sealed class Mem0ProviderTests : IDisposable } [Fact] - public async Task StateKey_CanBeConfiguredViaOptionsAsync() + public async Task StateKeys_CanBeConfiguredViaOptionsAsync() { // Arrange this._handler.EnqueueJsonResponse("[]"); diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AIContextProviderDecorators/AIContextProviderChatClientTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AIContextProviderDecorators/AIContextProviderChatClientTests.cs index 51eb4be3ab..3b06bbb772 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AIContextProviderDecorators/AIContextProviderChatClientTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AIContextProviderDecorators/AIContextProviderChatClientTests.cs @@ -380,7 +380,7 @@ public class AIContextProviderChatClientTests /// private sealed class TestAIContextProvider : AIContextProvider { - private readonly string _stateKey; + private readonly IReadOnlyList _stateKeys; private readonly IEnumerable _provideMessages; private readonly string? _provideInstructions; private readonly IEnumerable? _provideTools; @@ -389,7 +389,7 @@ public class AIContextProviderChatClientTests public InvokedContext? LastInvokedContext { get; private set; } - public override string StateKey => this._stateKey; + public override IReadOnlyList StateKeys => this._stateKeys; public TestAIContextProvider( string stateKey, @@ -397,7 +397,7 @@ public class AIContextProviderChatClientTests string? provideInstructions = null, IEnumerable? provideTools = null) { - this._stateKey = stateKey; + this._stateKeys = [stateKey]; this._provideMessages = provideMessages ?? []; this._provideInstructions = provideInstructions; this._provideTools = provideTools; diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs index 9713a91c2c..2b3cfe43e8 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgentTests.cs @@ -105,8 +105,8 @@ public partial class ChatClientAgentTests ChatHistoryProvider = historyProvider })); - Assert.Contains("SharedKey", ex.Message); - Assert.Contains(nameof(ChatHistoryProvider), ex.Message); + Assert.Contains("ChatHistoryProvider", ex.Message); + Assert.Contains("state key 'SharedKey'", ex.Message); } /// @@ -159,11 +159,11 @@ public partial class ChatClientAgentTests var ex = await Assert.ThrowsAsync(() => agent.RunAsync([new(ChatRole.User, "test")], session, options: new AgentRunOptions { AdditionalProperties = additionalProperties })); - Assert.Contains("SharedKey", ex.Message); + Assert.Contains("state key 'SharedKey'", ex.Message); } /// - /// Verify that RunAsync succeeds when an override ChatHistoryProvider uses the same StateKey as the default ChatHistoryProvider. + /// Verify that RunAsync succeeds when an override ChatHistoryProvider uses the same StateKeys as the default ChatHistoryProvider. /// [Fact] public async Task RunAsync_SucceedsWhenOverrideChatHistoryProviderSharesKeyWithDefaultAsync() @@ -192,6 +192,102 @@ public partial class ChatClientAgentTests await agent.RunAsync([new(ChatRole.User, "test")], session, options: new AgentRunOptions { AdditionalProperties = additionalProperties }); } + /// + /// Verify that the constructor throws when two multi-key AIContextProviders have an overlapping key. + /// + [Fact] + public void Constructor_ThrowsWhenMultiKeyAIContextProvidersOverlap() + { + // Arrange + var chatClient = new Mock().Object; + var provider1 = new MultiKeyTestAIContextProvider("Key1", "SharedKey"); + var provider2 = new MultiKeyTestAIContextProvider("Key2", "SharedKey"); + + // Act & Assert + var ex = Assert.Throws(() => + new ChatClientAgent(chatClient, options: new() + { + AIContextProviders = [provider1, provider2] + })); + + Assert.Contains("state key 'SharedKey'", ex.Message); + } + + /// + /// Verify that the constructor throws when a multi-key ChatHistoryProvider has an overlapping key with an AIContextProvider. + /// + [Fact] + public void Constructor_ThrowsWhenMultiKeyChatHistoryProviderOverlapsWithAIContextProvider() + { + // Arrange + var chatClient = new Mock().Object; + var contextProvider = new MultiKeyTestAIContextProvider("Key1", "SharedKey"); + var historyProvider = new MultiKeyTestChatHistoryProvider("Key2", "SharedKey"); + + // Act & Assert + var ex = Assert.Throws(() => + new ChatClientAgent(chatClient, options: new() + { + AIContextProviders = [contextProvider], + ChatHistoryProvider = historyProvider + })); + + Assert.Contains("state key 'SharedKey'", ex.Message); + } + + /// + /// Verify that the constructor succeeds when multi-key providers have no overlapping keys. + /// + [Fact] + public void Constructor_SucceedsWithMultiKeyProvidersWithUniqueKeys() + { + // Arrange + var chatClient = new Mock().Object; + var contextProvider1 = new MultiKeyTestAIContextProvider("Key1", "Key2"); + var contextProvider2 = new MultiKeyTestAIContextProvider("Key3", "Key4"); + var historyProvider = new MultiKeyTestChatHistoryProvider("Key5", "Key6"); + + // Act & Assert - should not throw + _ = new ChatClientAgent(chatClient, options: new() + { + AIContextProviders = [contextProvider1, contextProvider2], + ChatHistoryProvider = historyProvider + }); + } + + /// + /// Verify that RunAsync throws when a multi-key override ChatHistoryProvider has an overlapping key with an AIContextProvider. + /// + [Fact] + public async Task RunAsync_ThrowsWhenMultiKeyOverrideChatHistoryProviderClashesWithAIContextProviderAsync() + { + // Arrange + Mock mockService = new(); + mockService.Setup( + s => s.GetResponseAsync( + It.IsAny>(), + It.IsAny(), + It.IsAny())).ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")])); + + var contextProvider = new MultiKeyTestAIContextProvider("Key1", "SharedKey"); + var overrideHistoryProvider = new MultiKeyTestChatHistoryProvider("Key2", "SharedKey"); + + ChatClientAgent agent = new(mockService.Object, options: new() + { + AIContextProviders = [contextProvider] + }); + + // Act & Assert + ChatClientAgentSession? session = await agent.CreateSessionAsync() as ChatClientAgentSession; + AdditionalPropertiesDictionary additionalProperties = new(); + additionalProperties.Add(overrideHistoryProvider); + + var ex = await Assert.ThrowsAsync(() => + agent.RunAsync([new(ChatRole.User, "test")], session, options: new AgentRunOptions { AdditionalProperties = additionalProperties })); + + Assert.Contains("state key 'SharedKey'", ex.Message); + } + #endregion #region RunAsync Tests @@ -489,6 +585,7 @@ public partial class ChatClientAgentTests .ReturnsAsync(new ChatResponse(responseMessages)); var mockProvider = new Mock(null, null, null); + mockProvider.SetupGet(p => p.StateKeys).Returns(["TestProvider"]); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -560,6 +657,7 @@ public partial class ChatClientAgentTests .Throws(new InvalidOperationException("downstream failure")); var mockProvider = new Mock(null, null, null); + mockProvider.SetupGet(p => p.StateKeys).Returns(["TestProvider"]); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -618,6 +716,7 @@ public partial class ChatClientAgentTests .ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")])); var mockProvider = new Mock(null, null, null); + mockProvider.SetupGet(p => p.StateKeys).Returns(["TestProvider"]); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -678,7 +777,7 @@ public partial class ChatClientAgentTests // Provider 1: adds a system message and a tool var mockProvider1 = new Mock(null, null, null); - mockProvider1.SetupGet(p => p.StateKey).Returns("Provider1"); + mockProvider1.SetupGet(p => p.StateKeys).Returns(["Provider1"]); mockProvider1 .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -697,7 +796,7 @@ public partial class ChatClientAgentTests // Provider 2: adds another system message and verifies it receives accumulated context from provider 1 AIContext? provider2ReceivedContext = null; var mockProvider2 = new Mock(null, null, null); - mockProvider2.SetupGet(p => p.StateKey).Returns("Provider2"); + mockProvider2.SetupGet(p => p.StateKeys).Returns(["Provider2"]); mockProvider2 .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -785,7 +884,7 @@ public partial class ChatClientAgentTests .ThrowsAsync(new InvalidOperationException("downstream failure")); var mockProvider1 = new Mock(null, null, null); - mockProvider1.SetupGet(p => p.StateKey).Returns("Provider1"); + mockProvider1.SetupGet(p => p.StateKeys).Returns(["Provider1"]); mockProvider1 .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -802,7 +901,7 @@ public partial class ChatClientAgentTests .Returns(new ValueTask()); var mockProvider2 = new Mock(null, null, null); - mockProvider2.SetupGet(p => p.StateKey).Returns("Provider2"); + mockProvider2.SetupGet(p => p.StateKeys).Returns(["Provider2"]); mockProvider2 .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -870,7 +969,7 @@ public partial class ChatClientAgentTests .Returns(ToAsyncEnumerableAsync(responseUpdates)); var mockProvider1 = new Mock(null, null, null); - mockProvider1.SetupGet(p => p.StateKey).Returns("Provider1"); + mockProvider1.SetupGet(p => p.StateKeys).Returns(["Provider1"]); mockProvider1 .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -887,7 +986,7 @@ public partial class ChatClientAgentTests .Returns(new ValueTask()); var mockProvider2 = new Mock(null, null, null); - mockProvider2.SetupGet(p => p.StateKey).Returns("Provider2"); + mockProvider2.SetupGet(p => p.StateKeys).Returns(["Provider2"]); mockProvider2 .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -1829,6 +1928,7 @@ public partial class ChatClientAgentTests .Returns(ToAsyncEnumerableAsync(responseUpdates)); var mockProvider = new Mock(null, null, null); + mockProvider.SetupGet(p => p.StateKeys).Returns(["TestProvider"]); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -1908,6 +2008,7 @@ public partial class ChatClientAgentTests .Throws(new InvalidOperationException("downstream failure")); var mockProvider = new Mock(null, null, null); + mockProvider.SetupGet(p => p.StateKeys).Returns(["TestProvider"]); mockProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -1965,7 +2066,17 @@ public partial class ChatClientAgentTests private sealed class TestAIContextProvider(string stateKey) : AIContextProvider { - public override string StateKey => stateKey; + private readonly IReadOnlyList _stateKeys = [stateKey]; + + public override IReadOnlyList StateKeys => this._stateKeys; + + protected override ValueTask InvokingCoreAsync(InvokingContext context, CancellationToken cancellationToken = default) + => new(context.AIContext); + } + + private sealed class MultiKeyTestAIContextProvider(params string[] stateKeys) : AIContextProvider + { + public override IReadOnlyList StateKeys => stateKeys; protected override ValueTask InvokingCoreAsync(InvokingContext context, CancellationToken cancellationToken = default) => new(context.AIContext); @@ -1973,7 +2084,20 @@ public partial class ChatClientAgentTests private sealed class TestChatHistoryProvider(string stateKey) : ChatHistoryProvider { - public override string StateKey => stateKey; + private readonly IReadOnlyList _stateKeys = [stateKey]; + + public override IReadOnlyList StateKeys => this._stateKeys; + + protected override ValueTask> InvokingCoreAsync(InvokingContext context, CancellationToken cancellationToken = default) + => new(context.RequestMessages); + + protected override ValueTask InvokedCoreAsync(InvokedContext context, CancellationToken cancellationToken = default) + => default; + } + + private sealed class MultiKeyTestChatHistoryProvider(params string[] stateKeys) : ChatHistoryProvider + { + public override IReadOnlyList StateKeys => stateKeys; protected override ValueTask> InvokingCoreAsync(InvokingContext context, CancellationToken cancellationToken = default) => new(context.RequestMessages); diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs index ebb1791dfd..1177a3c82a 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_BackgroundResponsesTests.cs @@ -339,7 +339,7 @@ public class ChatClientAgent_BackgroundResponsesTests // Create a mock chat history provider that would normally provide messages var mockChatHistoryProvider = new Mock(null, null, null); - mockChatHistoryProvider.SetupGet(p => p.StateKey).Returns("ChatHistoryProvider"); + mockChatHistoryProvider.SetupGet(p => p.StateKeys).Returns(["ChatHistoryProvider"]); mockChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -347,7 +347,7 @@ public class ChatClientAgent_BackgroundResponsesTests // Create a mock AI context provider that would normally provide context var mockContextProvider = new Mock(null, null, null); - mockContextProvider.SetupGet(p => p.StateKey).Returns("Provider1"); + mockContextProvider.SetupGet(p => p.StateKeys).Returns(["Provider1"]); mockContextProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -408,7 +408,7 @@ public class ChatClientAgent_BackgroundResponsesTests // Create a mock chat history provider that would normally provide messages var mockChatHistoryProvider = new Mock(null, null, null); - mockChatHistoryProvider.SetupGet(p => p.StateKey).Returns("ChatHistoryProvider"); + mockChatHistoryProvider.SetupGet(p => p.StateKeys).Returns(["ChatHistoryProvider"]); mockChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -416,7 +416,7 @@ public class ChatClientAgent_BackgroundResponsesTests // Create a mock AI context provider that would normally provide context var mockContextProvider = new Mock(null, null, null); - mockContextProvider.SetupGet(p => p.StateKey).Returns("Provider1"); + mockContextProvider.SetupGet(p => p.StateKeys).Returns(["Provider1"]); mockContextProvider .Protected() .Setup>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -639,7 +639,7 @@ public class ChatClientAgent_BackgroundResponsesTests List capturedMessagesAddedToProvider = []; var mockChatHistoryProvider = new Mock(null, null, null); - mockChatHistoryProvider.SetupGet(p => p.StateKey).Returns("ChatHistoryProvider"); + mockChatHistoryProvider.SetupGet(p => p.StateKeys).Returns(["ChatHistoryProvider"]); mockChatHistoryProvider .Protected() .Setup("InvokedCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -648,7 +648,7 @@ public class ChatClientAgent_BackgroundResponsesTests AIContextProvider.InvokedContext? capturedInvokedContext = null; var mockContextProvider = new Mock(null, null, null); - mockContextProvider.SetupGet(p => p.StateKey).Returns("Provider1"); + mockContextProvider.SetupGet(p => p.StateKeys).Returns(["Provider1"]); mockContextProvider .Protected() .Setup("InvokedCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -703,7 +703,7 @@ public class ChatClientAgent_BackgroundResponsesTests List capturedMessagesAddedToProvider = []; var mockChatHistoryProvider = new Mock(null, null, null); - mockChatHistoryProvider.SetupGet(p => p.StateKey).Returns("ChatHistoryProvider"); + mockChatHistoryProvider.SetupGet(p => p.StateKeys).Returns(["ChatHistoryProvider"]); mockChatHistoryProvider .Protected() .Setup("InvokedCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -712,7 +712,7 @@ public class ChatClientAgent_BackgroundResponsesTests AIContextProvider.InvokedContext? capturedInvokedContext = null; var mockContextProvider = new Mock(null, null, null); - mockContextProvider.SetupGet(p => p.StateKey).Returns("Provider1"); + mockContextProvider.SetupGet(p => p.StateKeys).Returns(["Provider1"]); mockContextProvider .Protected() .Setup("InvokedCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatHistoryManagementTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatHistoryManagementTests.cs index 59062cf49f..cc9b7acb19 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatHistoryManagementTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatHistoryManagementTests.cs @@ -186,6 +186,7 @@ public class ChatClientAgent_ChatHistoryManagementTests It.IsAny())).ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")])); Mock mockChatHistoryProvider = new(null, null, null); + mockChatHistoryProvider.SetupGet(p => p.StateKeys).Returns(["TestChatHistoryProvider"]); mockChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -241,6 +242,7 @@ public class ChatClientAgent_ChatHistoryManagementTests It.IsAny())).Throws(new InvalidOperationException("Test Error")); Mock mockChatHistoryProvider = new(null, null, null); + mockChatHistoryProvider.SetupGet(p => p.StateKeys).Returns(["TestChatHistoryProvider"]); mockChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -430,6 +432,7 @@ public class ChatClientAgent_ChatHistoryManagementTests // Arrange a chat history provider to override the factory provided one. Mock mockOverrideChatHistoryProvider = new(null, null, null); + mockOverrideChatHistoryProvider.SetupGet(p => p.StateKeys).Returns(["TestChatHistoryProvider"]); mockOverrideChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) @@ -443,6 +446,7 @@ public class ChatClientAgent_ChatHistoryManagementTests // Arrange a chat history provider to provide to the agent at construction time. // This one shouldn't be used since it is being overridden. Mock mockAgentOptionsChatHistoryProvider = new(null, null, null); + mockAgentOptionsChatHistoryProvider.SetupGet(p => p.StateKeys).Returns(["TestChatHistoryProvider"]); mockAgentOptionsChatHistoryProvider .Protected() .Setup>>("InvokingCoreAsync", ItExpr.IsAny(), ItExpr.IsAny()) diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Data/TextSearchProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Data/TextSearchProviderTests.cs index a0d6bbb35f..a782993f6a 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Data/TextSearchProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Data/TextSearchProviderTests.cs @@ -39,17 +39,18 @@ public sealed class TextSearchProviderTests } [Fact] - public void StateKey_ReturnsDefaultKey_WhenNoOptionsProvided() + public void StateKeys_ReturnsDefaultKey_WhenNoOptionsProvided() { // Arrange & Act var provider = new TextSearchProvider((_, _) => Task.FromResult>([])); // Assert - Assert.Equal("TextSearchProvider", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("TextSearchProvider", provider.StateKeys); } [Fact] - public void StateKey_ReturnsCustomKey_WhenSetViaOptions() + public void StateKeys_ReturnsCustomKey_WhenSetViaOptions() { // Arrange & Act var provider = new TextSearchProvider( @@ -57,7 +58,8 @@ public sealed class TextSearchProviderTests new TextSearchProviderOptions { StateKey = "custom-key" }); // Assert - Assert.Equal("custom-key", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("custom-key", provider.StateKeys); } [Theory] diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Memory/ChatHistoryMemoryProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Memory/ChatHistoryMemoryProviderTests.cs index a0657d5a47..5211fa0956 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Memory/ChatHistoryMemoryProviderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Memory/ChatHistoryMemoryProviderTests.cs @@ -56,7 +56,7 @@ public class ChatHistoryMemoryProviderTests } [Fact] - public void StateKey_ReturnsDefaultKey_WhenNoOptionsProvided() + public void StateKeys_ReturnsDefaultKey_WhenNoOptionsProvided() { // Arrange & Act var provider = new ChatHistoryMemoryProvider( @@ -66,11 +66,12 @@ public class ChatHistoryMemoryProviderTests _ => new ChatHistoryMemoryProvider.State(new ChatHistoryMemoryProviderScope { UserId = "UID" })); // Assert - Assert.Equal("ChatHistoryMemoryProvider", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("ChatHistoryMemoryProvider", provider.StateKeys); } [Fact] - public void StateKey_ReturnsCustomKey_WhenSetViaOptions() + public void StateKeys_ReturnsCustomKey_WhenSetViaOptions() { // Arrange & Act var provider = new ChatHistoryMemoryProvider( @@ -81,7 +82,8 @@ public class ChatHistoryMemoryProviderTests new ChatHistoryMemoryProviderOptions { StateKey = "custom-key" }); // Assert - Assert.Equal("custom-key", provider.StateKey); + Assert.Single(provider.StateKeys); + Assert.Contains("custom-key", provider.StateKeys); } [Fact] From c5ed8209df8a0e19ea6c53258947ba9354c110a2 Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Wed, 4 Mar 2026 03:26:04 +0900 Subject: [PATCH 38/59] Python: Fix StandardMagenticManager to propagate session to manager agent (#4409) * Fix #4371: Propagate session to manager agent in StandardMagenticManager StandardMagenticManager._complete() was calling self._agent.run(messages) without passing a session. This caused context providers (e.g. RedisHistoryProvider) configured on the manager agent to silently fail, as each call created a new ephemeral session with a different session_id. Changes: - Create an AgentSession in StandardMagenticManager.__init__() - Pass session=self._session in _complete() calls to agent.run() - Persist/restore the session in checkpoint save/restore methods - Add regression tests for session propagation and checkpoint round-trip Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add type: ignore[reportPrivateUsage] to private attribute assertions in tests Address PR review feedback: add # type: ignore[reportPrivateUsage] comments to _session attribute accesses in the new regression tests, matching the existing convention used elsewhere in test_magentic.py (e.g., lines 401-406). The @pytest.mark.asyncio decorator is not needed because pyproject.toml sets asyncio_mode = "auto". Fixes #4371 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review: use getattr for private _session access in tests (#4371) Replace direct mgr._session access with getattr(mgr, "_session") to avoid reportPrivateUsage type-checking warnings without needing type: ignore comments. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply pre-commit auto-fixes * Address PR review: fix session restore guard and improve test robustness (#4371) - Use 'is not None' instead of truthiness check for session_payload restore - Use getattr() for private _session attribute access in tests - Add backward-compatibility test for on_checkpoint_restore with empty state Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Make non-async tests plain def to avoid pytest-asyncio dependency (#4409) Tests that never await anything don't need to be async. Using plain def ensures they always run regardless of pytest-asyncio configuration. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Apply pre-commit auto-fixes --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../_magentic.py | 11 ++- .../orchestrations/tests/test_magentic.py | 67 +++++++++++++++++++ 2 files changed, 77 insertions(+), 1 deletion(-) diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py b/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py index 17b927326b..b887d86df3 100644 --- a/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py +++ b/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py @@ -14,6 +14,7 @@ from typing import Any, ClassVar, TypeVar, cast from agent_framework import ( AgentResponse, + AgentSession, Message, SupportsAgentRun, ) @@ -559,6 +560,7 @@ class StandardMagenticManager(MagenticManagerBase): ) self._agent: SupportsAgentRun = agent + self._session: AgentSession = self._agent.create_session() self.task_ledger: _MagenticTaskLedger | None = task_ledger # Prompts may be overridden if needed @@ -587,7 +589,7 @@ class StandardMagenticManager(MagenticManagerBase): The agent's run method is called which applies the agent's configured options (temperature, seed, instructions, etc.). """ - response: AgentResponse = await self._agent.run(messages) + response: AgentResponse = await self._agent.run(messages, session=self._session) if not response.messages: raise RuntimeError("Agent returned no messages in response.") if len(response.messages) > 1: @@ -730,6 +732,7 @@ class StandardMagenticManager(MagenticManagerBase): state: dict[str, Any] = {} if self.task_ledger is not None: state["task_ledger"] = self.task_ledger.to_dict() + state["agent_session"] = self._session.to_dict() return state @override @@ -740,6 +743,12 @@ class StandardMagenticManager(MagenticManagerBase): self.task_ledger = _MagenticTaskLedger.from_dict(ledger) except Exception: # pragma: no cover - defensive logger.warning("Failed to restore manager task ledger from checkpoint state") + session_payload = state.get("agent_session") + if session_payload is not None: + try: + self._session = AgentSession.from_dict(session_payload) + except Exception: # pragma: no cover - defensive + logger.warning("Failed to restore manager agent session from checkpoint state") # endregion Magentic Manager diff --git a/python/packages/orchestrations/tests/test_magentic.py b/python/packages/orchestrations/tests/test_magentic.py index e1d0ef8c32..1857a16ee4 100644 --- a/python/packages/orchestrations/tests/test_magentic.py +++ b/python/packages/orchestrations/tests/test_magentic.py @@ -1074,4 +1074,71 @@ def test_magentic_agent_factory_with_standard_manager_options(): assert manager.final_answer_prompt == custom_final_prompt +async def test_standard_manager_propagates_session_to_agent(): + """Verify StandardMagenticManager passes a consistent session to the underlying agent. + + Regression test for #4371: context providers (e.g. RedisHistoryProvider) configured on + the manager agent silently failed because no session was propagated. + """ + captured_sessions: list[AgentSession | None] = [] + + class SessionCapturingAgent(BaseAgent): + """Agent that records the session passed to each run() call.""" + + def run( + self, + messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + *, + stream: bool = False, + session: Any = None, + **kwargs: Any, + ) -> Awaitable[AgentResponse] | AsyncIterable[AgentResponseUpdate]: + captured_sessions.append(session) + + async def _run() -> AgentResponse: + return AgentResponse(messages=[Message("assistant", ["ok"])]) + + return _run() + + agent = SessionCapturingAgent() + mgr = StandardMagenticManager(agent=agent) + ctx = MagenticContext(task="task", participant_descriptions={"a": "desc"}) + + await mgr.plan(ctx.clone()) + + # plan() calls _complete twice (facts + plan), both should receive the same session + assert len(captured_sessions) == 2 + assert all(s is not None for s in captured_sessions), "session must be passed to agent.run()" + assert captured_sessions[0] is captured_sessions[1], "same session instance must be reused across calls" + assert captured_sessions[0] is mgr._session + + +def test_standard_manager_checkpoint_preserves_session(): + """Verify that checkpoint save/restore preserves the manager's session identity.""" + agent = StubManagerAgent() + mgr = StandardMagenticManager(agent=agent) + original_session_id = mgr._session.session_id + + state = mgr.on_checkpoint_save() + assert "agent_session" in state + + # Restore into a fresh manager and verify session_id is preserved + mgr2 = StandardMagenticManager(agent=agent) + assert mgr2._session.session_id != original_session_id + mgr2.on_checkpoint_restore(state) + assert mgr2._session.session_id == original_session_id + + +def test_standard_manager_checkpoint_restore_empty_state(): + """Verify that restoring from a state without agent_session leaves the session intact.""" + agent = StubManagerAgent() + mgr = StandardMagenticManager(agent=agent) + original_session = mgr._session + original_session_id = original_session.session_id + + mgr.on_checkpoint_restore({}) + assert mgr._session is original_session + assert mgr._session.session_id == original_session_id + + # endregion From fae36b36f2f8b9f21f6507678c9a172e4370dc69 Mon Sep 17 00:00:00 2001 From: Amit Mukherjee <45551399+amitmukh@users.noreply.github.com> Date: Tue, 3 Mar 2026 14:12:21 -0600 Subject: [PATCH 39/59] Python: Add OpenTelemetry instrumentation to ClaudeAgent (#4278) (#4326) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * 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 * 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 Co-Authored-By: Claude * 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 Co-Authored-By: Claude * 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 * 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 * 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 --------- Co-authored-by: Amit Mukherjee Co-authored-by: amitmukh Co-authored-by: Claude Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> --- .../claude/agent_framework_claude/__init__.py | 3 +- .../claude/agent_framework_claude/_agent.py | 189 +++++++++--------- .../claude/tests/test_claude_agent.py | 188 +++++++++++++++++ .../agent_framework/anthropic/__init__.py | 2 + 4 files changed, 290 insertions(+), 92 deletions(-) diff --git a/python/packages/claude/agent_framework_claude/__init__.py b/python/packages/claude/agent_framework_claude/__init__.py index 3c666f4a31..abf522fa4f 100644 --- a/python/packages/claude/agent_framework_claude/__init__.py +++ b/python/packages/claude/agent_framework_claude/__init__.py @@ -2,7 +2,7 @@ import importlib.metadata -from ._agent import ClaudeAgent, ClaudeAgentOptions, ClaudeAgentSettings +from ._agent import ClaudeAgent, ClaudeAgentOptions, ClaudeAgentSettings, RawClaudeAgent try: __version__ = importlib.metadata.version(__name__) @@ -13,5 +13,6 @@ __all__ = [ "ClaudeAgent", "ClaudeAgentOptions", "ClaudeAgentSettings", + "RawClaudeAgent", "__version__", ] diff --git a/python/packages/claude/agent_framework_claude/_agent.py b/python/packages/claude/agent_framework_claude/_agent.py index 43f001b3db..f5aabc43a9 100644 --- a/python/packages/claude/agent_framework_claude/_agent.py +++ b/python/packages/claude/agent_framework_claude/_agent.py @@ -27,6 +27,7 @@ from agent_framework import ( normalize_tools, ) from agent_framework.exceptions import AgentException +from agent_framework.observability import AgentTelemetryLayer from claude_agent_sdk import ( AssistantMessage, ClaudeSDKClient, @@ -171,8 +172,11 @@ OptionsT = TypeVar( ) -class ClaudeAgent(BaseAgent, Generic[OptionsT]): - """Claude Agent using Claude Code CLI. +class RawClaudeAgent(BaseAgent, Generic[OptionsT]): + """Claude Agent using Claude Code CLI without telemetry layers. + + This is the core Claude agent implementation without OpenTelemetry instrumentation. + For most use cases, prefer :class:`ClaudeAgent` which includes telemetry support. Wraps the Claude Agent SDK to provide agentic capabilities including tool use, session management, and streaming responses. @@ -188,45 +192,13 @@ class ClaudeAgent(BaseAgent, Generic[OptionsT]): .. code-block:: python - from agent_framework_claude import ClaudeAgent + from agent_framework.anthropic import RawClaudeAgent - async with ClaudeAgent( + async with RawClaudeAgent( instructions="You are a helpful assistant.", ) as agent: response = await agent.run("Hello!") print(response.text) - - With streaming: - - .. code-block:: python - - async with ClaudeAgent() as agent: - async for update in agent.run("Write a poem"): - print(update.text, end="", flush=True) - - With session management: - - .. code-block:: python - - async with ClaudeAgent() as agent: - session = agent.create_session() - await agent.run("Remember my name is Alice", session=session) - response = await agent.run("What's my name?", session=session) - # Claude will remember "Alice" from the same session - - With Agent Framework tools: - - .. code-block:: python - - from agent_framework import tool - - @tool - def greet(name: str) -> str: - \"\"\"Greet someone by name.\"\"\" - return f"Hello, {name}!" - - async with ClaudeAgent(tools=[greet]) as agent: - response = await agent.run("Greet Alice") """ AGENT_PROVIDER_NAME: ClassVar[str] = "anthropic.claude" @@ -246,7 +218,7 @@ class ClaudeAgent(BaseAgent, Generic[OptionsT]): env_file_path: str | None = None, env_file_encoding: str | None = None, ) -> None: - """Initialize a ClaudeAgent instance. + """Initialize a RawClaudeAgent instance. Args: instructions: System prompt for the agent. @@ -343,7 +315,7 @@ class ClaudeAgent(BaseAgent, Generic[OptionsT]): normalized = normalize_tools(tool) self._custom_tools.extend(normalized) - async def __aenter__(self) -> ClaudeAgent[OptionsT]: + async def __aenter__(self) -> RawClaudeAgent[OptionsT]: """Start the agent when entering async context.""" await self.start() return self @@ -568,61 +540,19 @@ class ClaudeAgent(BaseAgent, Generic[OptionsT]): return "" return "\n".join([msg.text or "" for msg in messages]) - @overload - def run( - self, - messages: AgentRunInputs | None = None, - *, - stream: Literal[True], - session: AgentSession | None = None, - options: OptionsT | MutableMapping[str, Any] | None = None, - **kwargs: Any, - ) -> AsyncIterable[AgentResponseUpdate]: ... + @property + def default_options(self) -> dict[str, Any]: + """Expose options with ``instructions`` key. - @overload - async def run( - self, - messages: AgentRunInputs | None = None, - *, - stream: Literal[False] = ..., - session: AgentSession | None = None, - options: OptionsT | MutableMapping[str, Any] | None = None, - **kwargs: Any, - ) -> AgentResponse[Any]: ... - - def run( - self, - messages: AgentRunInputs | None = None, - *, - stream: bool = False, - session: AgentSession | None = None, - options: OptionsT | MutableMapping[str, Any] | None = None, - **kwargs: Any, - ) -> AsyncIterable[AgentResponseUpdate] | Awaitable[AgentResponse[Any]]: - """Run the agent with the given messages. - - Args: - messages: The messages to process. - - Keyword Args: - stream: If True, returns an async iterable of updates. If False (default), - returns an awaitable AgentResponse. - session: The conversation session. If session has service_session_id set, - the agent will resume that session. - options: Runtime options (model, permission_mode can be changed per-request). - kwargs: Additional keyword arguments. - - Returns: - When stream=True: An ResponseStream for streaming updates. - When stream=False: An Awaitable[AgentResponse] with the complete response. + Maps ``system_prompt`` to ``instructions`` for compatibility with + :class:`AgentTelemetryLayer`, which reads the system prompt from + the ``instructions`` key. """ - response = ResponseStream( - self._get_stream(messages, session=session, options=options, **kwargs), - finalizer=self._finalize_response, - ) - if stream: - return response - return response.get_final_response() + opts = dict(self._default_options) + system_prompt = opts.pop("system_prompt", None) + if system_prompt is not None: + opts["instructions"] = system_prompt + return opts def _finalize_response(self, updates: Sequence[AgentResponseUpdate]) -> AgentResponse[Any]: """Build AgentResponse and propagate structured_output as value. @@ -636,6 +566,61 @@ class ClaudeAgent(BaseAgent, Generic[OptionsT]): structured_output = getattr(self, "_structured_output", None) return AgentResponse.from_updates(updates, value=structured_output) + @overload + def run( + self, + messages: AgentRunInputs | None = None, + *, + stream: Literal[False] = ..., + session: AgentSession | None = None, + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + + @overload + def run( + self, + messages: AgentRunInputs | None = None, + *, + stream: Literal[True], + session: AgentSession | None = None, + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + + def run( + self, + messages: AgentRunInputs | None = None, + *, + stream: bool = False, + session: AgentSession | None = None, + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: + """Run the agent with the given messages. + + Args: + messages: The messages to process. + + Keyword Args: + stream: If True, returns an async iterable of updates. If False (default), + returns an awaitable AgentResponse. + session: The conversation session. If session has service_session_id set, + the agent will resume that session. + kwargs: Additional keyword arguments including 'options' for runtime options + (model, permission_mode can be changed per-request). + + Returns: + When stream=True: An ResponseStream for streaming updates. + When stream=False: An Awaitable[AgentResponse] with the complete response. + """ + options = kwargs.pop("options", None) + response = ResponseStream( + self._get_stream(messages, session=session, options=options, **kwargs), + finalizer=self._finalize_response, + ) + + if stream: + return response + return response.get_final_response() + async def _get_stream( self, messages: AgentRunInputs | None = None, @@ -721,3 +706,25 @@ class ClaudeAgent(BaseAgent, Generic[OptionsT]): # Store structured output for the finalizer self._structured_output = structured_output + + +class ClaudeAgent(AgentTelemetryLayer, RawClaudeAgent[OptionsT], Generic[OptionsT]): + """Claude Agent with OpenTelemetry instrumentation. + + This is the recommended agent class for most use cases. It includes + OpenTelemetry-based telemetry for observability. For a minimal + implementation without telemetry, use :class:`RawClaudeAgent`. + + Examples: + Basic usage with context manager: + + .. code-block:: python + + from agent_framework.anthropic import ClaudeAgent + + async with ClaudeAgent( + instructions="You are a helpful assistant.", + ) as agent: + response = await agent.run("Hello!") + print(response.text) + """ diff --git a/python/packages/claude/tests/test_claude_agent.py b/python/packages/claude/tests/test_claude_agent.py index 0e126c36b9..e48a3b05d9 100644 --- a/python/packages/claude/tests/test_claude_agent.py +++ b/python/packages/claude/tests/test_claude_agent.py @@ -945,3 +945,191 @@ class TestClaudeAgentStructuredOutput: with pytest.raises(AgentException) as exc_info: await agent.run("Hello") assert "Something went wrong" in str(exc_info.value) + + +# region Test ClaudeAgent Telemetry + + +class TestClaudeAgentTelemetry: + """Tests for ClaudeAgent OpenTelemetry instrumentation.""" + + @staticmethod + async def _create_async_generator(items: list[Any]) -> Any: + """Helper to create async generator from list.""" + for item in items: + yield item + + def _create_mock_client(self, messages: list[Any]) -> MagicMock: + """Create a mock ClaudeSDKClient that yields given messages.""" + mock_client = MagicMock() + mock_client.connect = AsyncMock() + mock_client.disconnect = AsyncMock() + mock_client.query = AsyncMock() + mock_client.set_model = AsyncMock() + mock_client.set_permission_mode = AsyncMock() + mock_client.receive_response = MagicMock(return_value=self._create_async_generator(messages)) + return mock_client + + def _create_standard_messages(self) -> list[Any]: + """Create a standard set of mock messages for testing.""" + from claude_agent_sdk import AssistantMessage, ResultMessage, TextBlock + from claude_agent_sdk.types import StreamEvent + + return [ + StreamEvent( + event={ + "type": "content_block_delta", + "delta": {"type": "text_delta", "text": "Hello!"}, + }, + uuid="event-1", + session_id="session-123", + ), + AssistantMessage( + content=[TextBlock(text="Hello!")], + model="claude-sonnet", + ), + ResultMessage( + subtype="success", + duration_ms=100, + duration_api_ms=50, + is_error=False, + num_turns=1, + session_id="session-123", + ), + ] + + async def test_run_emits_span_when_instrumentation_enabled(self, monkeypatch: pytest.MonkeyPatch) -> None: + """Test that run() creates an OpenTelemetry span when instrumentation is enabled.""" + from agent_framework.observability import OBSERVABILITY_SETTINGS + + messages = self._create_standard_messages() + mock_client = self._create_mock_client(messages) + + monkeypatch.setattr(OBSERVABILITY_SETTINGS, "enable_instrumentation", True) + + with ( + patch("agent_framework_claude._agent.ClaudeSDKClient", return_value=mock_client), + patch("agent_framework.observability._get_span") as mock_get_span, + ): + mock_span = MagicMock() + mock_get_span.return_value.__enter__ = MagicMock(return_value=mock_span) + mock_get_span.return_value.__exit__ = MagicMock(return_value=False) + + agent = ClaudeAgent(name="test-agent") + response = await agent.run("Hello") + + assert response.text == "Hello!" + mock_get_span.assert_called_once() + call_kwargs = mock_get_span.call_args[1] + assert call_kwargs["attributes"]["gen_ai.agent.name"] == "test-agent" + assert call_kwargs["attributes"]["gen_ai.operation.name"] == "invoke_agent" + + async def test_run_skips_telemetry_when_instrumentation_disabled(self, monkeypatch: pytest.MonkeyPatch) -> None: + """Test that run() skips telemetry when instrumentation is disabled.""" + from agent_framework.observability import OBSERVABILITY_SETTINGS + + messages = self._create_standard_messages() + mock_client = self._create_mock_client(messages) + + monkeypatch.setattr(OBSERVABILITY_SETTINGS, "enable_instrumentation", False) + + with ( + patch("agent_framework_claude._agent.ClaudeSDKClient", return_value=mock_client), + patch("agent_framework.observability._get_span") as mock_get_span, + ): + agent = ClaudeAgent(name="test-agent") + response = await agent.run("Hello") + + assert response.text == "Hello!" + mock_get_span.assert_not_called() + + async def test_run_stream_emits_span_when_instrumentation_enabled(self, monkeypatch: pytest.MonkeyPatch) -> None: + """Test that run(stream=True) creates a span when instrumentation is enabled.""" + from agent_framework.observability import OBSERVABILITY_SETTINGS + + messages = self._create_standard_messages() + mock_client = self._create_mock_client(messages) + + monkeypatch.setattr(OBSERVABILITY_SETTINGS, "enable_instrumentation", True) + + with ( + patch("agent_framework_claude._agent.ClaudeSDKClient", return_value=mock_client), + patch("agent_framework.observability.get_tracer") as mock_get_tracer, + ): + mock_span = MagicMock() + mock_tracer = MagicMock() + mock_tracer.start_span.return_value = mock_span + mock_get_tracer.return_value = mock_tracer + + agent = ClaudeAgent(name="stream-agent") + updates: list[AgentResponseUpdate] = [] + async for update in agent.run("Hello", stream=True): + updates.append(update) + + assert len(updates) == 1 + mock_tracer.start_span.assert_called_once() + span_name = mock_tracer.start_span.call_args[0][0] + assert "stream-agent" in span_name + assert "invoke_agent" in span_name + + async def test_run_captures_exception_in_span(self, monkeypatch: pytest.MonkeyPatch) -> None: + """Test that exceptions during run() are captured in the telemetry span.""" + from agent_framework.exceptions import AgentException + from agent_framework.observability import OBSERVABILITY_SETTINGS + from claude_agent_sdk import ResultMessage + + error_messages = [ + ResultMessage( + subtype="error", + duration_ms=100, + duration_api_ms=50, + is_error=True, + num_turns=0, + session_id="error-session", + result="Model not found", + ), + ] + mock_client = self._create_mock_client(error_messages) + + monkeypatch.setattr(OBSERVABILITY_SETTINGS, "enable_instrumentation", True) + + with ( + patch("agent_framework_claude._agent.ClaudeSDKClient", return_value=mock_client), + patch("agent_framework.observability._get_span") as mock_get_span, + patch("agent_framework.observability.capture_exception") as mock_capture_exc, + ): + mock_span = MagicMock() + mock_get_span.return_value.__enter__ = MagicMock(return_value=mock_span) + mock_get_span.return_value.__exit__ = MagicMock(return_value=False) + + agent = ClaudeAgent(name="error-agent") + with pytest.raises(AgentException): + await agent.run("Hello") + + mock_capture_exc.assert_called_once() + exc_kwargs = mock_capture_exc.call_args[1] + assert exc_kwargs["span"] is mock_span + assert isinstance(exc_kwargs["exception"], AgentException) + + async def test_telemetry_uses_correct_provider_name(self, monkeypatch: pytest.MonkeyPatch) -> None: + """Test that telemetry uses AGENT_PROVIDER_NAME as provider.""" + from agent_framework.observability import OBSERVABILITY_SETTINGS + + messages = self._create_standard_messages() + mock_client = self._create_mock_client(messages) + + monkeypatch.setattr(OBSERVABILITY_SETTINGS, "enable_instrumentation", True) + + with ( + patch("agent_framework_claude._agent.ClaudeSDKClient", return_value=mock_client), + patch("agent_framework.observability._get_span") as mock_get_span, + ): + mock_span = MagicMock() + mock_get_span.return_value.__enter__ = MagicMock(return_value=mock_span) + mock_get_span.return_value.__exit__ = MagicMock(return_value=False) + + agent = ClaudeAgent(name="test-agent") + await agent.run("Hello") + + call_kwargs = mock_get_span.call_args[1] + assert call_kwargs["attributes"]["gen_ai.provider.name"] == "anthropic.claude" diff --git a/python/packages/core/agent_framework/anthropic/__init__.py b/python/packages/core/agent_framework/anthropic/__init__.py index 242554cf16..8be2a7d208 100644 --- a/python/packages/core/agent_framework/anthropic/__init__.py +++ b/python/packages/core/agent_framework/anthropic/__init__.py @@ -11,6 +11,7 @@ Supported classes: - AnthropicChatOptions - ClaudeAgent - ClaudeAgentOptions +- RawClaudeAgent """ import importlib @@ -21,6 +22,7 @@ _IMPORTS: dict[str, tuple[str, str]] = { "AnthropicChatOptions": ("agent_framework_anthropic", "agent-framework-anthropic"), "ClaudeAgent": ("agent_framework_claude", "agent-framework-claude"), "ClaudeAgentOptions": ("agent_framework_claude", "agent-framework-claude"), + "RawClaudeAgent": ("agent_framework_claude", "agent-framework-claude"), } From 2a207501108086d5cdf631f485de4f9491f43fbc Mon Sep 17 00:00:00 2001 From: Eduard van Valkenburg Date: Tue, 3 Mar 2026 21:24:02 +0100 Subject: [PATCH 40/59] ADR: Python context compaction strategy (#3802) * Add ADR for Python context compaction strategy * Remove async vs sync open question - compact() is async * updated adr * docs: refine context compaction ADR Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated adr * further refinement * renamed and numbered * remove XX version --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- ...0019-python-context-compaction-strategy.md | 1242 +++++++++++++++++ 1 file changed, 1242 insertions(+) create mode 100644 docs/decisions/0019-python-context-compaction-strategy.md diff --git a/docs/decisions/0019-python-context-compaction-strategy.md b/docs/decisions/0019-python-context-compaction-strategy.md new file mode 100644 index 0000000000..11e1c091e5 --- /dev/null +++ b/docs/decisions/0019-python-context-compaction-strategy.md @@ -0,0 +1,1242 @@ +--- +status: accepted +contact: eavanvalkenburg +date: 2026-02-10 +deciders: eavanvalkenburg, markwallace-microsoft, sphenry, alliscode, johanst, brettcannon, westey-m +consulted: taochenosu, moonbox3, dmytrostruk, giles17 +--- + +# Context Compaction Strategy for Long-Running Agents + +## Context and Problem Statement + +Long-running agents need **context compaction** — automatically summarizing or truncating conversation history when approaching token limits. This is particularly important for agents that make many tool calls in succession (10s or 100s), where the context can grow unboundedly. + +[ADR-0016](0016-python-context-middleware.md) established the `ContextProvider` (hooks pattern) and `HistoryProvider` architecture for session management and context engineering. The .NET SDK comparison table notes: + +> **Message reduction**: `IChatReducer` on `InMemoryChatHistoryProvider` → Not yet designed (see Open Discussion: Context Compaction) + +This ADR proposes a design for context compaction that integrates with the chosen architecture. + +### Why Current Architecture Cannot Support In-Run Compaction + +An [analysis of the current message flow](https://gist.github.com/victordibia/ec3f3baf97345f7e47da025cf55b999f) identified three structural barriers to implementing compaction inside the tool loop: + +1. **History loaded once**: `HistoryProvider.get_messages()` is only called once during `before_run` at the start of `agent.run()`. The tool loop maintains its own message list internally and never re-reads from the provider. + +2. **`ChatMiddleware` modifies copies**: `ChatMiddleware` receives a **copy** of the message list each iteration. Clearing/replacing `context.messages` in middleware only affects that single LLM call — the tool loop's internal message list keeps growing with each tool result. + +3. **`FunctionMiddleware` wraps tool calls, not LLM calls**: `FunctionMiddleware` runs around individual tool executions, not around the LLM call that triggers them. It cannot modify the message history between iterations. + +``` +agent.run(task) + │ + ├── ContextProvider.before_run() ← Load history, inject context ONCE + │ + ├── chat_client.get_response(messages) + │ │ + │ ├── messages = copy(messages) ← NEW list created + │ │ + │ └── for attempt in range(max_iterations): ← TOOL LOOP + │ ├── ChatMiddleware(copy of messages) ← Modifies copy only + │ ├── LLM call(messages) ← Response may contain tool_calls + │ ├── FunctionMiddleware(tool_call) ← Wraps each tool execution + │ │ └── Execute single tool call + │ └── messages.extend(tool_results) ← List grows unbounded + │ + └── ContextProvider.after_run() ← Store messages ONCE +``` + +**Consequence**: There is currently **no way** to compact messages during the tool loop such that subsequent LLM calls use the reduced context. Any middleware-based approach only affects individual LLM calls but the underlying list keeps growing. + +### Message-list correctness constraint: Atomic group preservation + +A critical correctness constraint for any compaction strategy: **tool calls and their results must be kept together**. LLM APIs (OpenAI, Azure, etc.) require that an assistant message containing `tool_calls` is always followed by corresponding `tool` result messages. A compaction strategy that removes one without the other will cause API errors. This is extended for reasoning models, at least in the OpenAI Responses API with a Reasoning content, without it you also get failed calls. + +Strategies must treat `[assistant message with tool_calls] + [tool result messages]` as atomic groups — either keep the entire group or remove it entirely. Option 1 addresses this structurally in both Variant C1 (precomputed `MessageGroups`) and Variant C2 (precomputed `_group_*` annotations on messages), so strategy authors do not need to rediscover raw boundaries on every pass. + +### Where Compaction Is Needed + +Compaction must be applicable in **three primary points** in the agent lifecycle: + +| Point | When | Purpose | +|-------|------|---------| +| **In-run** | During the (potentially) multiple calls to a ChatClient's `get_response` within a single `agent.run()` | Keep context within limits as tool calls accumulate and project only included messages per model call | +| **Pre-write\*** | Before `HistoryProvider.save_messages()` in `after_run` | Compact before persisting to storage, limiting storage size, _only applies to messages from a run_ | +| **On existing storage\*** | Outside of `agent.run()`, as a maintenance operation | Compact stored history (e.g., cron job, manual trigger) | + +**\***: Should pre-write and existing-storage compaction share one unified configuration/setup to reduce duplicate strategy wiring, and then either: each write overrides the full storage, or only new messages are compacted while a separate interface can be called to compact the existing storage? + +### Scope: Not Applicable to Service-Managed Storage + +**All compaction discussed in this ADR is irrelevant when using only service-managed storage** (`service_session_id` is set). In that scenario: +- The service manages message history internally — the client never holds the full conversation +- Only new messages are sent to/from the service each turn +- The service is responsible for its own context window management and compaction +- The client has no message list to compact + +This ADR applies to two scenarios where the **client** constructs and manages the message list sent to the model: + +1. **With local storage** (e.g., `InMemoryHistoryProvider`, Redis, Cosmos) — compaction is needed during a run, currently no compaction is done in our abstractions. +2. **Without any storage** (`store=False`, no `HistoryProvider`) — in-run compaction is still critical for long-running, tool-heavy agent invocations where the message list grows unbounded within a single `agent.run()` call + +## Decision Drivers + +- **Applicable across primary points**: The strategy model must work at pre-write, in-run, and on existing storage, this means it must be: + - **Composable with HistoryProvider**: Works naturally with the `HistoryProvider` subclass from ADR-0016 + - **Composable with function calling/chat clients**: Can be applied during the inner loop of the chat clients +- **Message-list correctness**: Compaction must preserve required assistant/tool/result ordering and reasoning/tool-call pairings so the model input stays valid +- **Chainable**/**Composable**: Multiple strategies must be composable (e.g., summarize older messages then truncate to fit token budget). + +## Considered Options + +- Standalone `CompactionStrategy` object composed into `HistoryProvider` and `ChatClient` +- `CompactionStrategy` as a mixin for `HistoryProvider` subclasses +- Separate `CompactionProvider` set directly on the agent +- Mutable message access in `ChatMiddleware` + + +## Pros and Cons of the Options + +### Option 1: Standalone `CompactionStrategy` Object + +Define an abstract `CompactionStrategy` that can be **composed into any `HistoryProvider`** and also passed to the agent for in-run compaction. + +There are three sub-variants for the method signature, which differ in mutability semantics and input structure, all of them use `__call__` to be easily used as a callable, and allow simple strategies to be expressed as simple functions, and if you need additional state or helper methods you can implement a class with `__call__`: + +#### Variant A: In-place mutation + +The strategy mutates the provided list directly and returns `bool` indicating whether compaction occurred. Zero-allocation in the no-op case, and the tool loop doesn't need to reassign the list. + +```python +@runtime_checkable +class CompactionStrategy(Protocol): + """Abstract strategy for compacting a list of messages in place.""" + + async def __call__(self, messages: list[Message]) -> bool: + """Compact messages in place. Returns True if compaction occurred.""" + ... +``` + +#### Variant B: Return new list + +The strategy returns a new list (leaving the original unchanged) plus a `bool` indicating whether compaction occurred. This is safer when the caller needs the original list preserved (e.g., for logging or fallback), and is a more functional style that avoids side-effect surprises. + +```python +@runtime_checkable +class CompactionStrategy(Protocol): + """Abstract strategy for compacting a list of messages.""" + + async def __call__(self, messages: Sequence[Message]) -> tuple[list[Message], bool]: + """Return (compacted_messages, did_compact).""" + ... +``` + +Tool loop integration requires reassignment: + +```python +# Inside the function invocation loop +messages.append(tool_result_message) +if compacter := config.get("compaction_strategy"): + compacted, did_compact = await compacter(messages) + if did_compact: + messages.clear() + messages.extend(compacted) +``` + +#### Variant C: Group-aware compaction entry points + +Variant C has two sub-variants that provide the same logical grouping behavior: +- **C1 (`MessageGroups` state object):** group metadata lives in a sidecar container. +- **C2 (`_`-prefixed message attributes):** group metadata lives directly on messages in `additional_properties`. + +Both approaches let strategies operate on logical units (`system`, `user`, `assistant_text`, `tool_call`) instead of re-deriving boundaries every time. + +##### Variant C1: `MessageGroups` sidecar state + +```python +@dataclass +class MessageGroup: + """A logical group of messages that must be kept or removed together.""" + kind: Literal["system", "user", "assistant_text", "tool_call"] + messages: list[Message] + + @property + def length(self) -> int: + """Number of messages in this group.""" + return len(self.messages) + + +@dataclass +class MessageGroups: + groups: list[MessageGroup] + + @classmethod + def from_messages(cls, messages: list[Message]) -> "MessageGroups": + """Build grouped state from a flat message list.""" + groups: list[MessageGroup] = [] + i = 0 + while i < len(messages): + msg = messages[i] + if msg.role == "system": + groups.append(MessageGroup(kind="system", messages=[msg])) + i += 1 + elif msg.role == "user": + groups.append(MessageGroup(kind="user", messages=[msg])) + i += 1 + elif msg.role == "assistant" and getattr(msg, "tool_calls", None): + group_msgs = [msg] + i += 1 + while i < len(messages) and messages[i].role == "tool": + group_msgs.append(messages[i]) + i += 1 + groups.append(MessageGroup(kind="tool_call", messages=group_msgs)) + else: + groups.append(MessageGroup(kind="assistant_text", messages=[msg])) + i += 1 + return cls(groups) + + def summary(self) -> dict[str, int]: + return { + "group_count": len(self.groups), + "message_count": sum(len(g.messages) for g in self.groups), + "tool_call_count": sum(1 for g in self.groups if g.kind == "tool_call"), + } + + def to_messages(self) -> list[Message]: + """Flatten grouped state back into a flat message list.""" + return [msg for group in self.groups for msg in group.messages] + + +class CompactionStrategy(Protocol): + """Callable strategy for group-aware compaction.""" + + async def __call__(self, groups: MessageGroups) -> bool: + """Compact by mutating grouped state. Returns True if changed. + + Group kinds: + - "system": system message(s) + - "user": a single user message + - "assistant_text": an assistant message without tool calls + - "tool_call": an assistant message with tool_calls + all corresponding + tool result messages (atomic unit) + """ + ... +``` + +Class-based strategies implement `__call__` directly: + +```python +class ExcludeOldestGroupsStrategy: + async def __call__(self, groups: MessageGroups) -> bool: + # Mutate grouped state in place. + ... +``` + +The framework builds and flattens grouped state through `MessageGroups` methods: + +```python +# Usage at a compaction point: +groups = MessageGroups.from_messages(messages) +logger.debug("Pre-compaction summary: %s", groups.summary()) +# optional also emit OTEL events next to these loggers, but not sure if needed +await strategy(groups) +logger.debug("Post-compaction summary: %s", groups.summary()) +response = await get_response(messages=groups.to_messages()) +# add messages from response into new group and to the groups. +``` + +**Note on in-run integration (C1):** Variant C1 requires maintaining grouped sidecar state (`MessageGroups` / underlying `list[MessageGroup]`) alongside the function-calling loop message list. Because `BaseChatClient` is stateless between calls, C1 cannot be cleanly implemented only in `BaseChatClient`; a stateful loop layer must own and update that grouped structure across roundtrips. + +##### Variant C2: `_`-prefixed metadata directly on `Message` + +Variant C2 achieves the same grouping behavior as C1 but stores grouping metadata on messages instead of in a sidecar `MessageGroups` object. + +```python +def _annotate_groups(messages: list[Message]) -> None: + """Annotate messages with group metadata in additional_properties. + + Metadata keys: + - "_group_id": stable group id for all messages in the same logical unit + - "_group_kind": "system" | "user" | "assistant_text" | "tool_call" + - "_group_index": order of groups in the current list + """ + group_index = 0 + i = 0 + while i < len(messages): + msg = messages[i] + group_id = f"g-{group_index}" + if msg.role == "assistant" and getattr(msg, "tool_calls", None): + msg.additional_properties["_group_id"] = group_id + msg.additional_properties["_group_kind"] = "tool_call" + msg.additional_properties["_group_index"] = group_index + i += 1 + while i < len(messages) and messages[i].role == "tool": + messages[i].additional_properties["_group_id"] = group_id + messages[i].additional_properties["_group_kind"] = "tool_call" + messages[i].additional_properties["_group_index"] = group_index + i += 1 + else: + kind = ( + "system" if msg.role == "system" + else "user" if msg.role == "user" + else "assistant_text" + ) + msg.additional_properties["_group_id"] = group_id + msg.additional_properties["_group_kind"] = kind + msg.additional_properties["_group_index"] = group_index + i += 1 + group_index += 1 + + +class CompactionStrategy(Protocol): + async def __call__(self, messages: list[Message]) -> bool: + """Compact using message annotations; mutate in place.""" + ... +``` + +**Note on in-run integration (C2):** `BaseChatClient` should annotate new messages incrementally as they are appended (rather than re-running `_annotate_groups` over the full list every roundtrip). Unlike C1, C2 does not require a separate grouped sidecar in the function-calling loop; strategies can operate directly on `list[Message]` using `_group_*` metadata attached to the messages themselves. This makes C2 feasible as a fully `BaseChatClient`-localized implementation and provides a cleaner separation of responsibilities. In C2 and derived variants (D2/E2/F2), full ownership of compaction and message-attribute lifecycle belongs to the chat client to avoid double work: the chat client assigns/updates attributes (including `_group_id` for new tool-result messages added by function calling), and the function-calling layer remains unaware of this mechanism. + +#### Variant D: Exclude-based projection (builds on Variant C1/C2) + +Variant D also has two sub-variants: +- **D1:** exclusion state on `MessageGroup`. +- **D2:** exclusion state on message `_`-attributes. + +##### Variant D1: exclusion state on `MessageGroup` + +```python +@dataclass +class MessageGroup: + kind: Literal["system", "user", "assistant_text", "tool_call"] + messages: list[Message] + excluded: bool = False + exclude_reason: str | None = None + + +@dataclass +class MessageGroups: + groups: list[MessageGroup] + + def summary(self) -> dict[str, int]: + return { + "group_count": len(self.groups), + "message_count": sum(len(g.messages) for g in self.groups), + "tool_call_count": sum(1 for g in self.groups if g.kind == "tool_call"), + "included_group_count": sum(1 for g in self.groups if not g.excluded), + "included_message_count": sum(len(g.messages) for g in self.groups if not g.excluded), + "included_tool_call_count": sum( + 1 for g in self.groups if g.kind == "tool_call" and not g.excluded + ), + } + + def get_messages(self, *, excluded: bool = False) -> list[Message]: + if excluded: + return [msg for g in self.groups for msg in g.messages] + return [msg for g in self.groups if not g.excluded for msg in g.messages] + + def included_messages(self) -> list[Message]: + return self.get_messages(excluded=False) +``` + +During compaction, strategies/orchestrators mutate `group.excluded`/`group.exclude_reason` (including re-including groups with `excluded=False`) instead of discarding data. + +##### Variant D2: exclusion state on message `_`-attributes + +```python +def set_group_excluded(messages: list[Message], *, group_id: str, reason: str | None = None) -> None: + for msg in messages: + if msg.additional_properties.get("_group_id") == group_id: + msg.additional_properties["_excluded"] = True + msg.additional_properties["_exclude_reason"] = reason + + +def clear_group_excluded(messages: list[Message], *, group_id: str) -> None: + for msg in messages: + if msg.additional_properties.get("_group_id") == group_id: + msg.additional_properties["_excluded"] = False + msg.additional_properties["_exclude_reason"] = None + + +def included_messages(messages: list[Message]) -> list[Message]: + return [m for m in messages if not m.additional_properties.get("_excluded", False)] +``` + +In D2, strategies project included context by filtering on `_excluded` instead of filtering `MessageGroup` objects. + +#### Variant E: Tokenization and accounting (builds on Variant C1/C2) + +Variant E has two sub-variants: +- **E1:** token rollups cached on `MessageGroup`/`MessageGroups`. +- **E2:** token rollups cached directly on messages via `_`-attributes. + +##### Variant E1: token rollups on grouped state + +Variant E1 adds tokenization metadata and cached token rollups to grouped state. This is independent of exclusion: token-aware strategies can use token metrics even if no groups are excluded. When combined with Variant D, token budgets can be enforced against included messages. + +To make token-budget compaction deterministic: +1. Before **every** `get_response` call in the tool loop, tokenize every message currently in `all_messages` (regardless of source). +2. Persist per-content token counts in `content.additional_properties["_token_count"]`. +3. Build/update grouped state from tokenized messages and use cached rollups for threshold checks and summaries. + +```python +class TokenizerProtocol(Protocol): + def count_tokens(self, content: AIContent, *, model_id: str | None = None) -> int: ... + + +@dataclass +class MessageGroup: + kind: Literal["system", "user", "assistant_text", "tool_call"] + messages: list[Message] + _token_count_cache: int | None = None + + def token_count(self) -> int: + if self._token_count_cache is None: + self._token_count_cache = sum( + content.additional_properties.get("_token_count", 0) + for message in self.messages + for content in message.contents + ) + return self._token_count_cache + + +@dataclass +class MessageGroups: + groups: list[MessageGroup] + _total_tokens_cache: int | None = None + + def total_tokens(self) -> int: + if self._total_tokens_cache is None: + self._total_tokens_cache = sum(group.token_count() for group in self.groups) + return self._total_tokens_cache + + def summary(self) -> dict[str, int]: + return { + "group_count": len(self.groups), + "message_count": sum(len(g.messages) for g in self.groups), + "tool_call_count": sum(1 for g in self.groups if g.kind == "tool_call"), + "total_tokens": self.total_tokens(), + "tool_call_tokens": sum(g.token_count() for g in self.groups if g.kind == "tool_call"), + } +``` +And the following helper method should also be added: + +```python +def _to_tokenized_groups( + messages: list[Message], *, tokenizer: TokenizerProtocol +) -> MessageGroups: + tokenize_messages(messages, tokenizer=tokenizer) + return MessageGroups.from_messages(messages) +``` + +##### Variant E2: token rollups on message `_`-attributes + +```python +def annotate_token_counts(messages: list[Message], *, tokenizer: TokenizerProtocol) -> None: + for message in messages: + message_token_count = 0 + for content in message.contents: + count = tokenizer.count_tokens(content) + content.additional_properties["_token_count"] = count + message_token_count += count + message.additional_properties["_message_token_count"] = message_token_count + + +def sum_tokens_by_group(messages: list[Message]) -> dict[str, int]: + """Compute group totals on demand from `_message_token_count`.""" + tokens_by_group: dict[str, int] = {} + for message in messages: + group_id = message.additional_properties["_group_id"] + tokens_by_group[group_id] = tokens_by_group.get(group_id, 0) + message.additional_properties.get( + "_message_token_count", 0 + ) + return tokens_by_group +``` + +In E2, strategies evaluate `_message_token_count`/`_token_count` directly from messages and compute per-group totals on demand via `_group_id` (instead of caching `_group_token_count` on every message). This avoids duplicated state and ambiguity when one copy is updated but others are stale. If needed for performance, the function-invocation loop can keep an ephemeral `dict[group_id, token_count]` alongside the annotated message list. + +#### Variant F: Combined projection + tokenization (C + D + E) + +Variant F has two sub-variants: +- **F1:** combined model on `MessageGroups`. +- **F2:** combined model on `_`-annotated messages. + +##### Variant F1: combined model on `MessageGroups` + +Variant F1 combines Variant C1's grouped interface, Variant D1's exclusion semantics, and Variant E1's token accounting in one integrated model. This gives one state container for projection (`excluded`) and budget control (`token_count`), while preserving full history for final-return and diagnostics. + +For Variant F1, `MessageGroups.from_messages(...)` accepts an optional tokenizer and handles both tokenization and grouping before strategy execution: + +```python +class TokenizerProtocol(Protocol): + def count_tokens(self, content: AIContent, *, model_id: str | None = None) -> int: ... + + +@dataclass +class MessageGroup: + kind: Literal["system", "user", "assistant_text", "tool_call"] + messages: list[Message] + excluded: bool = False + exclude_reason: str | None = None + _token_count_cache: int | None = None + + def token_count(self) -> int: + if self._token_count_cache is None: + self._token_count_cache = sum( + content.additional_properties.get("_token_count", 0) + for message in self.messages + for content in message.contents + ) + return self._token_count_cache + + +@dataclass +class MessageGroups: + groups: list[MessageGroup] + _total_tokens_cache: int | None = None + + @classmethod + def from_messages( + cls, + messages: list[Message], + *, + tokenizer: TokenizerProtocol | None = None, + ) -> "MessageGroups": + if tokenizer is not None: + tokenize_messages(messages, tokenizer=tokenizer) + groups: list[MessageGroup] = [] + i = 0 + while i < len(messages): + msg = messages[i] + if msg.role == "system": + groups.append(MessageGroup(kind="system", messages=[msg])) + i += 1 + elif msg.role == "user": + groups.append(MessageGroup(kind="user", messages=[msg])) + i += 1 + elif msg.role == "assistant" and getattr(msg, "tool_calls", None): + group_msgs = [msg] + i += 1 + while i < len(messages) and messages[i].role == "tool": + group_msgs.append(messages[i]) + i += 1 + groups.append(MessageGroup(kind="tool_call", messages=group_msgs)) + else: + groups.append(MessageGroup(kind="assistant_text", messages=[msg])) + i += 1 + return cls(groups) + + def get_messages(self, *, excluded: bool = False) -> list[Message]: + if excluded: + return [msg for g in self.groups for msg in g.messages] + return [msg for g in self.groups if not g.excluded for msg in g.messages] + + def included_messages(self) -> list[Message]: + return self.get_messages(excluded=False) + + def total_tokens(self) -> int: + if self._total_tokens_cache is None: + self._total_tokens_cache = sum(group.token_count() for group in self.groups) + return self._total_tokens_cache + + def included_token_count(self) -> int: + return sum(g.token_count() for g in self.groups if not g.excluded) + + def summary(self) -> dict[str, int]: + return { + "group_count": len(self.groups), + "message_count": sum(len(g.messages) for g in self.groups), + "tool_call_count": sum(1 for g in self.groups if g.kind == "tool_call"), + "included_group_count": sum(1 for g in self.groups if not g.excluded), + "included_message_count": sum(len(g.messages) for g in self.groups if not g.excluded), + "included_tool_call_count": sum( + 1 for g in self.groups if g.kind == "tool_call" and not g.excluded + ), + "total_tokens": self.total_tokens(), + "tool_call_tokens": sum(g.token_count() for g in self.groups if g.kind == "tool_call"), + "included_tokens": self.included_token_count(), + } + + +class CompactionStrategy(Protocol): + async def __call__(self, groups: MessageGroups) -> None: + """Mutate the provided groups in place.""" + ... +``` + +##### Variant F2: combined model on `_`-annotated messages + +```python +class CompactionStrategy(Protocol): + async def __call__(self, messages: list[Message]) -> bool: + """Mutate message annotations in place.""" + ... + + +async def compact_with_annotations( + messages: list[Message], *, strategy: CompactionStrategy, tokenizer: TokenizerProtocol +) -> list[Message]: + # C2: annotate group boundaries + _annotate_groups(messages) + # E2: annotate token metrics + annotate_token_counts(messages, tokenizer=tokenizer) + _ = sum_tokens_by_group(messages) # optional ephemeral aggregate in loop state + + # D2/F2: strategy toggles _excluded/_exclude_reason and can rewrite messages + _ = await strategy(messages) + + # Project only included messages for model call + return [m for m in messages if not m.additional_properties.get("_excluded", False)] +``` + +F2 avoids a sidecar object but requires strict ownership rules for `_` attributes (who sets, updates, clears, and validates them). To prevent duplicate work and drift, this ownership should live entirely in `BaseChatClient`, while the function-calling layer remains attribute-unaware. + +**Trade-offs between variants:** + +| Aspect | Variant A (in-place) | Variant B (return new) | Variant C1 (`MessageGroups`) | Variant C2 (`_` attrs) | Variant D1 (`MessageGroups` exclude) | Variant D2 (`_excluded` attrs) | Variant E1 (group token caches) | Variant E2 (message token attrs + on-demand group sums) | Variant F1 (`MessageGroups` combined) | Variant F2 (`_` attrs combined) | +|--------|---------------------|----------------------|-------------------------------|-----------------------|--------------------------------------|-------------------------------|----------------------------------|-------------------------------------|-----------------------------------|----------------------------------| +| **Allocation** | Zero in no-op case | Always allocates tuple | Grouping sidecar allocation | No sidecar; metadata writes | D1 + exclusion state | D2 + metadata writes | E1 + token cache sidecar | E2 + message metadata writes | Highest sidecar state | No sidecar; highest metadata writes | +| **Safety** | Caller loses original | Original preserved | State isolated in sidecar | Metadata mutates source messages | Full grouped history preserved | Full message history preserved | Deterministic token rollups in sidecar | Deterministic token rollups on messages | Strong isolation of all compaction state | Shared-message mutation can leak across layers | +| **Strategy complexity** | Must handle atomic groups | Must handle atomic groups | Groups pre-computed by framework | Reads `_group_*` fields | Exclude/re-include by group | Exclude/re-include by `_group_id` | Token budget via group APIs | Token budget via `_token*` fields | Unified exclude + token policy via group APIs | Unified policy via many message attrs | +| **Chaining** | Natural (same list) | Pipe output to next input | Natural (same group state) | Natural (same annotated message list) | Natural | Natural | Natural | Natural | Natural | Natural | +| **Framework complexity** | Minimal | Reassignment logic | Grouping + flattening layer | Annotation lifecycle/validation | C1 + exclusion semantics | C2 + projection/filter semantics | C1 + tokenizer + cache invalidation | C2 + tokenizer + attr invalidation | Highest sidecar orchestration | Highest attr lifecycle orchestration | + +**Usage with `HistoryProvider`:** + +The `compaction_strategy` parameter accepts either a single `CompactionStrategy` or it can take a composed/chained strategy. + +```python + +class HistoryProvider(ContextProvider): + def __init__( + self, + source_id: str, + *, + load_messages: bool = True, + store_inputs: bool = True, + store_responses: bool = True, + store_excluded_messages: bool = True, # NEW: persist excluded groups/messages or only included + # NEW: optional compaction strategy, can be a single strategy or a chained/composed strategy + compaction_strategy: CompactionStrategy | None = None, + # NEW: optional tokenizer for token-aware compaction strategies + tokenizer: TokenizerProtocol | None = None, + ): ... + + async def after_run(self, agent, session, context, state) -> None: + messages_to_store = self._collect_messages(context) + groups = MessageGroups.from_messages(messages_to_store, tokenizer=self.tokenizer) + if self.compaction_strategy: + await self.compaction_strategy(groups) + messages_to_store = groups.get_messages(excluded=self.store_excluded_messages) + if messages_to_store: + await self.save_messages(context.session_id, messages_to_store) +``` + +**Simple usage:** + +```python +strategy = SlidingWindowStrategy(max_messages=100) + +agent = client.create_agent( + context_providers=[ + InMemoryHistoryProvider("memory", compaction_strategy=strategy), + ], +) +``` + +There are two ways we can do this: +1. Before writing to storage in `after_run`, compaction is called on the new messages, + combined with: a new `compact` method, that reads the full history, calls the compaction strategy with the full history, then writes the compacted result back to storage (also requires a `overwrite` flag on the `save_messages` method). This makes removing old messages from storage a explicit action that the user initiaties instead of being implicitly triggered by `after_run` writes, but it also means compaction strategies only see new messages instead of the full history (unless they read it themselves), the `compact` method could then also have a override for the strategy to use (and/or the tokenizer in case of Variant E1/E2/F1/F2). + + ```python + class HistoryProvider(ContextProvider): + ... + async def compact(self, session_id: str, *, strategy: CompactionStrategy | None = None, tokenizer: TokenizerProtocol | None = None) -> None: + history = await self.get_messages(session_id) + if tokenizer: + tokenize_messages(history, tokenizer=tokenizer) + applicable_strategy = strategy or self.compaction_strategy + await applicable_strategy(history) # compaction mutates history in place or returns new list depending on variant + await self.save_messages(session_id, history, overwrite=True) # write compacted history back to storage + ``` + +2. Before writing the history is loaded (could already be in-memory from `before_run`), compaction is called on the full history (old + new), then the compacted result is written back to storage. This allows compaction strategies to consider the full history when deciding what to keep, but it also means the provider needs to support writing the full history back (not just appending new messages). + +Given the explicit nature, and the ability to do the heavy lifting of reading, compacting and writing outside of the agent loop, we decide to go with the first setup, if we decide to use Option 1 overall. + +**Usage for in-run compaction (BaseChatClient):** + +In-run compaction should execute in `BaseChatClient` before every `get_response` call, regardless of whether function calling is enabled. This makes compaction behavior uniform for single-shot and looped invocations. + +For token-aware variants (E1/E2/F1/F2), a tokenizer must be configured because token counts are part of compaction decisions. For the grouped-state path (F1), use `MessageGroups.from_messages(..., tokenizer=...)` so tokenization and grouping happen together before strategy invocation. + +For C2/D2/E2/F2 specifically, `BaseChatClient` is the sole owner of compaction + `_`-attribute lifecycle. It should assume this work is required, annotate/refresh metadata on appended messages (including tool-result messages coming from function calling), and project included messages for model calls. The function-calling layer should not implement or duplicate any part of this mechanism. + +```python +class BaseChatClient: + # NEW attributes on the existing class + compaction_strategy: CompactionStrategy | None = None + tokenizer: TokenizerProtocol | None = None # required for token-aware variants +``` + +Agent attributes stay the same and are passed into the chat client (similar to `ChatMiddleware` propagation): + +```python +agent = Agent( + client=chat_client, + context_providers=[ + InMemoryHistoryProvider("memory", compaction_strategy=boundary_strategy), + ], + compaction_strategy=compaction_strategy, + tokenizer=model_tokenizer, # required for token-aware variants (E1/E2/F1/F2) +) + +chat_client.compaction_strategy = agent.compaction_strategy +chat_client.tokenizer = agent.tokenizer +``` + +Execution then lives in `BaseChatClient.get_response(...)`: + +```python +def get_response( + self, + messages: Sequence[Message], + *, + stream: bool = False, + options: Mapping[str, Any] | None = None, + **kwargs: Any, +) -> Awaitable[ChatResponse[Any]] | ResponseStream[ChatResponseUpdate, ChatResponse[Any]]: + if not self.compaction_strategy: + return self._inner_get_response( + messages=messages, + stream=stream, + options=options or {}, + **kwargs, + ) + + groups = MessageGroups.from_messages( + messages, + tokenizer=self.tokenizer, + ) + # Compaction hook runs here and updates included/excluded state on groups. + projected = groups.included_messages() + return self._inner_get_response( + messages=projected, + stream=stream, + options=options or {}, + **kwargs, + ) +``` + +`BaseChatClient` always keeps the full grouped state (included + excluded) in memory and uses only the projected included messages for model calls. Return/persistence policy is handled outside the client (e.g., `HistoryProvider.store_excluded_messages`). + +When function calling is enabled, every model roundtrip still goes through `BaseChatClient.get_response(...)`, so compaction runs automatically without duplicating logic in function-invocation code. + +**Built-in strategies:** + +```python +class TruncationStrategy(CompactionStrategy): + """Keep the last N messages, optionally preserving the system message.""" + def __init__(self, *, max_messages: int, max_tokens: int, preserve_system: bool = True): ... + +class SlidingWindowStrategy(CompactionStrategy): + """Keep system message + last N messages.""" + def __init__(self, *, max_messages: int, max_tokens: int): ... + +class SummarizationStrategy(CompactionStrategy): + """Summarize older messages using an LLM.""" + def __init__(self, *, client: ..., max_messages_before_summary: int, max_tokens_before_summary: int): ... + +# etc +``` + +**Opinionated token budget based composed strategy pattern (Variant F1/F2):** + +This ADR proposes shipping a built-in composed strategy that enforces a token budget by running a list of regular strategies from top to bottom until the conversation fits the budget. This is intentionally opinionated and serves as a practical default/inspiration; advanced users can still implement custom orchestration logic. In F1, this strategy should drive `MessageGroup.excluded`; in F2, it should drive message `_excluded` annotations so model calls project only included context while preserving the full list. + +```python +class TokenBudgetComposedStrategy(CompactionStrategy): + def __init__( + self, + *, + token_budget: int, + strategies: Sequence[CompactionStrategy], + early_stop: bool = False, # optional flag to stop after first strategy that meets the budget, or run all strategies regardless + ): + self.token_budget = token_budget + self.strategies = strategies + self.early_stop = early_stop + + async def __call__(self, groups: MessageGroups) -> None: + if groups.included_token_count() <= self.token_budget: + return + + for strategy in self.strategies: + await strategy(groups) + + if self.early_stop and groups.included_token_count() <= self.token_budget: + break +``` + +This pattern keeps composition explicit and deterministic: ordered strategies, shared token metric, exclusion-flag semantics, optional re-inclusion by later strategies, and early stop as soon as budget is satisfied. + +- Good, because the same strategy model works at the three primary compaction points (pre-write, in-run, existing storage) +- Good, because strategies are fully reusable — one instance can be shared across providers and agents +- Good, because new strategies can be added without modifying `HistoryProvider` +- Good, because with Variant A (in-place), the tool loop integration is zero-allocation in the no-op case +- Good, because with Variant B (return new list), the caller retains the original list for logging or fallback +- Good, because with Variants C1-F1 (grouped-state), strategy authors don't need to implement atomic group preservation — the framework handles grouping/flattening, making strategies simpler and less error-prone +- Good, because with Variants C2-F2 (message annotations), we can avoid a sidecar `MessageGroups` container while still preserving logical groups through `_group_*` attributes +- Good, because it is easy to test strategies in isolation +- Good, because strategies can inspect `source_id` attribution on messages for informed decisions +- Good, because in-run settings can be first-class `Agent` parameters and are propagated into `BaseChatClient` attributes +- Good, because **chaining is natural** — for Variants A/C1-F2, each strategy mutates the same shared state in sequence; for Variant B, output pipes into the next input +- Neutral, because Variants C1-F2 add framework complexity (grouping/flattening or annotation lifecycle, plus tokenization/exclusion accounting) but reduce strategy complexity +- Bad, because it adds a new concept (`CompactionStrategy`) alongside the existing `ContextProvider`/`HistoryProvider` hierarchy +- Bad, because Variants C1-F1 introduce a `MessageGroup` model that must stay in sync with any future message role changes +- Bad, because Variants C2-F2 depend on careful `_`-attribute lifecycle management to avoid stale or inconsistent annotations + +### Option 2: `CompactionStrategy` as a Mixin for `HistoryProvider` + +Define compaction behavior as a mixin that `HistoryProvider` subclasses can opt into. The mixin adds `compact()` as an overridable method. + +```python +class CompactingHistoryMixin: + """Mixin that adds compaction to a HistoryProvider.""" + + async def compact(self, messages: Sequence[ChatMessage]) -> list[ChatMessage]: + """Override to implement compaction logic. Default: no-op.""" + return list(messages) + + +class InMemoryHistoryProvider(CompactingHistoryMixin, HistoryProvider): + """In-memory history with compaction support.""" + + def __init__( + self, + source_id: str, + *, + max_messages: int | None = None, + **kwargs, + ): + super().__init__(source_id, **kwargs) + self.max_messages = max_messages + + async def compact(self, messages: Sequence[ChatMessage]) -> list[ChatMessage]: + if self.max_messages and len(messages) > self.max_messages: + return list(messages[-self.max_messages:]) + return list(messages) +``` + +The base `HistoryProvider` checks for the mixin and calls `compact()` at the right points: + +```python +class HistoryProvider(ContextProvider): + async def before_run(self, agent, session, context, state) -> None: + history = await self.get_messages(context.session_id) + if isinstance(self, CompactingHistoryMixin): + history = await self.compact(history) + context.extend_messages(self.source_id, history) +``` + +For in-run compaction, `BaseChatClient` attributes would reference the provider's `compact()` method, but this requires knowing which provider to use: + +```python +# Awkward: must extract compaction from a specific provider +compacting_provider = next( + (p for p in agent._context_providers if isinstance(p, CompactingHistoryMixin)), + None, +) +base_chat_client.compaction_strategy = compacting_provider # provider IS the strategy +``` + +For existing storage: + +```python +# Provider must implement CompactingHistoryMixin +provider = InMemoryHistoryProvider("memory", max_messages=100) +history = await provider.get_messages(session_id) +compacted = await provider.compact(history) +await provider.save_messages(session_id, compacted) +``` + +- Good, because no new top-level concept — compaction is part of the provider +- Good, because the provider controls its own compaction logic +- Neutral, because mixins are idiomatic Python but can be harder to reason about in complex hierarchies +- Bad, because **compaction strategy is coupled to the provider** — cannot share the same strategy across different providers, or in-run. +- Bad, because different strategies per compaction point (pre-write vs existing) require additional configuration or separate methods +- Bad, because in-run compaction via `BaseChatClient` attributes requires extracting the mixin from the provider list — unclear which one to use if multiple exist +- Bad, because `isinstance` checks are fragile and don't compose well +- Bad, because testing compaction requires instantiating a full provider rather than testing the strategy in isolation +- Bad, because existing storage compaction requires having the right provider type, not just any strategy +- Bad, because **chaining is difficult** — compaction logic is embedded in the provider's `compact()` override, so composing multiple strategies (e.g., summarize then truncate) requires subclass nesting or manual delegation within a single `compact()` method, rather than declarative composition + +### Option 3: Separate `CompactionProvider` Set on the Agent + +Define compaction as a special `ContextProvider` subclass that the agent calls at all compaction points (pre-load, pre-write, in-run (calls `compact`), existing storage). It is added to the agent's `context_providers` list like any other provider. + +```python +class CompactionProvider(ContextProvider): + """Context provider specialized for compaction. + + Unlike regular ContextProviders, CompactionProvider is also invoked + during the function calling loop and can be used for storage maintenance. + """ + + @abstractmethod + async def compact(self, messages: Sequence[ChatMessage]) -> list[ChatMessage]: + """Reduce a list of messages.""" + ... + + async def before_run(self, agent, session, context, state) -> None: + """Compact messages loaded by previous providers before model invocation.""" + all_messages = context.get_all_messages() + compacted = await self.compact(all_messages) + context.replace_messages(compacted) + + async def after_run(self, agent, session, context, state) -> None: + """No-op by default. Subclasses can override for pre-write behavior.""" + pass +``` + +**Usage:** + +```python +agent = ChatAgent( + chat_client=client, + context_providers=[ + InMemoryHistoryProvider("memory"), # Loads history + RAGContextProvider("rag"), # Adds RAG context + SlidingWindowCompaction("compaction", max_messages=100), # Compacts everything + ], +) +``` + +The agent recognizes `CompactionProvider` instances and wires `compact()` into `BaseChatClient` attributes: + +```python +class ChatAgent: + def _configure_base_chat_client(self, base_client: BaseChatClient) -> None: + compactors = [p for p in self._context_providers if isinstance(p, CompactionProvider)] + strategy = compactors[0] if compactors else None # Which one if multiple? + base_client.compaction_strategy = strategy +``` + +For existing storage, the `compact()` method is called directly: + +```python +compactor = SlidingWindowCompaction("compaction", max_messages=100) +history = await my_history_provider.get_messages(session_id) +compacted = await compactor.compact(history) +await my_history_provider.save_messages(session_id, compacted) +``` + +- Good, because it lives within the existing `ContextProvider` pipeline — no new concept +- Good, because ordering relative to other providers is explicit (runs after RAG provider, etc.) +- Good, because `before_run` can compact the combined output of all prior providers (history + RAG) +- Good, because the `compact()` method works standalone for existing storage maintenance +- Neutral, because **chaining is partially supported** — multiple `CompactionProvider` instances can be added to the provider list and will run in order during `before_run`/`after_run`, but in-run compaction via `BaseChatClient` attributes only wires a single strategy (which one to pick is ambiguous), so chaining works at boundaries but not during the tool loop +- Bad, because the `CompactionProvider` has **dual roles** (context provider + compaction strategy), which muddies the ContextProvider contract +- Bad, because `context.replace_messages()` is a new operation that doesn't exist today and conflicts with the append-only design of `SessionContext` +- Bad, because in-run compaction still requires `isinstance` checks to wire into `BaseChatClient` attributes +- Bad, because ordering sensitivity is subtle — must come after storage providers but before model invocation +- Bad, because a `CompactionProvider` as a context provider gets `before_run`/`after_run` calls even when only its `compact()` method is needed (in-run and storage maintenance) + +### Option 4: Mutable Message Access in `ChatMiddleware` + +Instead of introducing a new compaction abstraction, change `ChatMiddleware` so that it can **replace the actual message list** used by the tool loop, rather than modifying a copy. This makes the existing middleware pattern sufficient for in-run compaction. + +**Required changes to the tool loop:** + +```python +# Inside the function invocation loop +# Current: ChatMiddleware modifies a copy, tool loop keeps its own list +# Proposed: ChatMiddleware can replace the list, tool loop uses the replacement + +for attempt_idx in range(max_iterations): + context = ChatContext(messages=messages) + response = await middleware_pipeline.process(context) + + # NEW: if middleware replaced messages, use the replacement + messages = context.messages # May be a new, compacted list + + messages.extend(tool_results) +``` + +**Usage:** + +```python +@chat_middleware +async def compacting_middleware(context: ChatContext, next): + if count_tokens(context.messages) > budget: + compacted = compact(context.messages) + context.messages.clear() + context.messages.extend(compacted) # Persists because tool loop reads back + await next(context) + +agent = chat_client.create_agent( + middleware=[compacting_middleware], +) +``` + +For boundary compaction, the same middleware runs at the chat client level. For existing storage compaction, a standalone utility function is needed since middleware only runs during `agent.run()`. + +- Good, because it uses the **existing `ChatMiddleware` pattern** — no new compaction concept +- Good, because middleware already runs between LLM calls in the tool loop — it just needs the mutations to stick +- Good, because users familiar with middleware get compaction "for free" +- Neutral, because **chaining is implicit** — multiple compaction middleware can be stacked and will run in pipeline order, but there is no explicit composition model; middleware interact through side effects (mutating the shared message list) rather than declarative input/output, making chain behavior harder to reason about and debug +- Bad, because it requires **changing how the tool loop manages messages** — the current copy-based architecture must be rethought +- Bad, because multiple middleware could conflict when replacing messages (no coordination) +- Bad, because it does **not cover existing storage compaction** +- Bad, because it does **not cover pre-write compaction** — `ChatMiddleware` runs before the LLM call, not after `ContextProvider.after_run()` +- Bad, because message replacement semantics in middleware are implicit (mutating a list) rather than explicit (returning a new list) +- Bad, because it requires significant internal refactoring of the copy-based message flow in the function invocation layer + + +## Decision Outcome + +Chosen option: **Option 1: Standalone `CompactionStrategy` Object** with **F2** (`_`-annotated messages) as the primary implementation model. We still document F1 as a valid alternative, but F2 is preferred because it introduces one less concept (no sidecar `MessageGroups` container), aligns with `BaseChatClient` statelessness by carrying state on messages themselves, and allows in-run compaction to stay localized to `BaseChatClient` rather than requiring extra grouped-state ownership in the function-calling loop. + +## Comparison to .NET Implementation + +The .NET SDK uses `IChatReducer` composed into `InMemoryChatHistoryProvider`: + +| Aspect | .NET | Proposed Options | +|--------|------|-----------------| +| Interface | `IChatReducer` with `ReduceAsync(messages) -> messages` | `CompactionStrategy.compact()` with three signature variants (Options 1-3) / `ChatMiddleware` mutation (Option 4) | +| Attachment | Property on `InMemoryChatHistoryProvider` | Composed into `HistoryProvider` (Option 1) / mixin (Option 2) / separate provider (Option 3) / middleware (Option 4) | +| Trigger | `ChatReducerTriggerEvent` enum: `AfterMessageAdded`, `BeforeMessagesRetrieval` | Pre-write + in-run + storage maintenance (Options 1-3 primary scope); post-load-style behavior can be covered by in-run pre-send projection | +| Scope | Only within `InMemoryChatHistoryProvider` | Applicable to any `HistoryProvider` and the tool loop (Option 1) | + +Option 1's `CompactionStrategy` is the closest equivalent to .NET's `IChatReducer`, with a broader scope. + +### Achieving the same scenarios in MEAI/.NET + +| Python scenario | .NET/MEAI mechanism | How it maps | +|-----------------|---------------------|-------------| +| **Pre-write compaction** | `InMemoryChatHistoryProvider` + `ChatReducerTriggerEvent.AfterMessageAdded` | Reducer runs in `StoreChatHistoryAsync` after new request/response messages are added to storage (closest equivalent to pre-write persistence compaction). | +| **Agent-level whole-list compaction (pre-send overlap with post-load)** | `ChatClientAgent` message assembly + chat-client decoration via `clientFactory` / `ChatClientAgentRunOptions.ChatClientFactory` | `ChatClientAgent` builds the full invocation message list (`ChatHistoryProvider` + `AIContextProviders` + input). A delegating `IChatClient` can compact that assembled list immediately before forwarding `GetResponseAsync`. | +| **In-run compaction before every `get_response` call** | Base chat-client layer + delegating `IChatClient` wrapper | Compaction is executed in the base chat client before every `GetResponseAsync` call, so both single-shot and function-calling roundtrips get the same behavior. | +| **Variant C1 grouped-state maintenance (`MessageGroup`)** | Keep grouped state in the same function-invocation/delegating-chat-client layer | Maintain and update grouped state across loop iterations in that layer, then flatten only for model calls. | +| **Variant C2 message-annotation maintenance (`_group_*`)** | Keep message annotations in the same function-invocation/delegating-chat-client layer | Incrementally annotate newly appended messages with `_group_id`, `_group_kind`, and related metadata; filter/project directly from annotated message lists. | +| **Compaction on existing storage** | `InMemoryChatHistoryProvider.GetMessages(...)` + `SetMessages(...)` (or custom provider equivalent) | Read stored history, apply reducer/strategy, and write back compacted history as a maintenance operation. | + +### Coverage Matrix + +How each option addresses the three primary compaction points and the current architectural limitations: + +| Compaction Point | Option 1 (Strategy) | Option 2 (Mixin) | Option 3 (Provider) | Option 4 (Middleware) | +|-----------------|---------------------|-------------------|---------------------|-----------------------| +| **Pre-write** | ✅ `HistoryProvider` param | ⚠️ Needs extra method | ⚠️ `after_run` override | ❌ Not supported | +| **In-run (tool loop)** | ✅ `BaseChatClient` attrs | ⚠️ Awkward extraction | ⚠️ `isinstance` wiring | ⚠️ Requires refactoring copy semantics | +| **Existing storage** | ✅ Standalone `compact()` | ✅ Provider's `compact()` | ✅ Standalone `compact()` | ❌ Not supported | +| **Solves copy problem** | ✅ Runs inside loop | ⚠️ Indirectly | ⚠️ Indirectly | ⚠️ Requires deep refactor | +| **Chaining** | ✅ Natural composition via wrapper | ❌ Coupled to provider | ⚠️ Boundary only, not in-run | ⚠️ Implicit via stacking | +| **New concepts** | 1 (`CompactionStrategy`) | 1 (mixin) | 0.5 (reuses `ContextProvider`, but adds new method) | 0 (reuses `ChatMiddleware`) | + + +## Appendix + +### Appendix A: Strategy and constraint background + +### Compaction Strategies (Examples) + +A compaction strategy takes a list of messages and returns a (potentially shorter) list, in almost all cases, there is certain logic that needs to be applied universally, such as retaining system messages, not breaking up function call and result pairs (for Responses that includes Reasoning as well, see [context section above](#message-list-correctness-constraint-atomic-group-preservation) for more info) as tool calls, etc. Beyond that, strategies can be as simple or complex as needed: + +- **Truncation**: Keep only the last N messages or N tokens, this is a likely done as a kind of zigzag, where the history grows, then get's truncated to some value below the token limit, then grows again, etc. This can be done on a simple message count basis, a character count basis, or more complex token counting basis. +- **Summarization**: Replace older messages with an LLM-generated summary (depending on the implementation this could be done, by replacing the summarized messages, or by inserting a summary message in between and not loading messages older then the summarized ones) +- **Selective removal**: Remove tool call/result pairs while keeping user/assistant turns +- **Sliding window with anchor**: Keep system message + last N messages +- **Custom logic**: The design should be extendible so that users can implement their own strategies. + +### Leveraging Source Attribution + +[ADR-0016](./0016-python-context-middleware.md#4-source-attribution-via-source_id) introduces `source_id` attribution on messages — each message tracks which `ContextProvider` added it. Compaction strategies can use this attribution to make informed decisions about what to compact and what to preserve: + +- **Preserve RAG context**: Messages from a RAG provider (e.g. `source_id: "rag"`) may be critical and should survive compaction +- **Remove ephemeral context**: Messages marked as ephemeral (e.g., `source_id: "time"`) can be safely removed +- **Protect user input**: Messages without a `source_id` (direct user input) should typically be preserved +- **Selective tool result compaction**: Tool results from specific providers can be summarized while others are kept verbatim + +This means strategies don't need to rely solely on message position or role — they can make semantically meaningful compaction decisions based on the origin of each message. + +### Appendix B: Additional implementation notes + +#### Trigger mechanism for in-run compaction + +Running compaction after **every** tool call is wasteful — most iterations the context is well within limits. Instead, compaction should only trigger when a threshold is exceeded. There are several approaches to consider: + +1. **Message count threshold**: Trigger when the message list exceeds N messages. Simple to implement and predictable, but message count is a poor proxy for token usage — a single tool result can contain thousands of tokens while counting as one message. + +2. **Character/token count threshold**: Trigger when the estimated token count exceeds a budget. More accurate but requires a token counting mechanism (exact tokenization is model-specific and expensive; character-based heuristics like `len(text) / 4` are fast but approximate). + +3. **Iteration-based**: Trigger every N tool loop iterations (e.g., every 10th iteration). Predictable cadence but doesn't account for actual context growth — 10 iterations with small results may not need compaction while 3 iterations with large results might. + +4. **Strategy-internal**: Let the `CompactionStrategy.compact()` method decide internally — it receives the full message list and can return it unchanged if no compaction is needed. This is the simplest integration point (always call `compact()`, let the strategy no-op when appropriate) but has the overhead of calling into the strategy every iteration. + +The recommended approach is **strategy-internal with a lightweight guard**: the `compact()` method is called after each tool result, but strategy implementations should include a fast short-circuit check (e.g., `if len(messages) < self.threshold: return False`) to minimize overhead when compaction is not needed. This keeps the tool loop simple (always call `compact()`) while letting each strategy define its own trigger logic. + +The following example illustrates this for Variant A (in-place flat list). See Variant C1/C2 under Option 1 for group-aware equivalents. + +```python +class SlidingWindowStrategy(CompactionStrategy): + """Example with built-in trigger logic and atomic group preservation (Variant A).""" + + def __init__(self, max_messages: int, *, compact_to: int | None = None): + self.max_messages = max_messages + self.compact_to = compact_to or max_messages // 2 + + async def compact(self, messages: list[ChatMessage]) -> bool: + # Fast short-circuit: no-op if under threshold + if len(messages) <= self.max_messages: + return False + + # Partition into anchors (system messages) and the rest + anchors: list[ChatMessage] = [] + rest: list[ChatMessage] = [] + for m in messages: + (anchors if m.role == "system" else rest).append(m) + + # Group into atomic units: [assistant w/ tool_calls + tool results] + # count as one group; standalone messages are their own group + groups: list[list[ChatMessage]] = [] + i = 0 + while i < len(rest): + msg = rest[i] + if msg.role == "assistant" and getattr(msg, "tool_calls", None): + # Collect this assistant message + all following tool results + group = [msg] + i += 1 + while i < len(rest) and rest[i].role == "tool": + group.append(rest[i]) + i += 1 + groups.append(group) + else: + groups.append([msg]) + i += 1 + + # Keep the last N groups (by message count) that fit within compact_to + kept: list[ChatMessage] = [] + count = 0 + for group in reversed(groups): + if count + len(group) > self.compact_to: + break + kept = group + kept + count += len(group) + + # Mutate in place + messages.clear() + messages.extend(anchors + kept) + return True +``` + +#### Compaction on pre-write and in-run + +Given a situation where a compaction strategy is known, the following would need to happen: +1. At that moment in the run, the message list is passed to the strategy's `compact()` method, which returns whether compaction occurred (and depending on the variant, either mutates in place or returns a new list). +1. The caller continues with the (potentially reduced) list for the next steps (sending to the model, saving to storage, or continuing the tool loop with the reduced context) +1. We need to decide how to handle a failed compaction (e.g., the strategy raises an exception) — likely we should have a fallback to continue without compaction rather than failing the entire agent run. + +#### Compaction on existing storage + +ADR-0016's `HistoryProvider.save_messages()` is an **append** operation — `after_run` collects the new messages from the current invocation and appends them to storage. There is no built-in way to **replace** the full stored history with a compacted version. + +For compaction on existing storage (and pre-write compaction that rewrites history), we need a way to overwrite rather than append. Two options: + +1. **Add a `replace_messages()` method** to `HistoryProvider`: + +```python +class HistoryProvider(ContextProvider): + @abstractmethod + async def save_messages(self, session_id: str | None, messages: Sequence[ChatMessage]) -> None: + """Append messages to storage for this session.""" + ... + + async def replace_messages(self, session_id: str | None, messages: Sequence[ChatMessage]) -> None: + """Replace all stored messages for this session. Used for compaction. + + Default implementation raises NotImplementedError. Providers that support + compaction on existing storage must override this method. + """ + raise NotImplementedError( + f"{type(self).__name__} does not support replace_messages. " + "Override this method to enable storage compaction." + ) +``` + +2. **Add a `overwrite` parameter** to `save_messages()`: + +```python +class HistoryProvider(ContextProvider): + @abstractmethod + async def save_messages( + self, + session_id: str | None, + messages: Sequence[ChatMessage], + *, + overwrite: bool = False, + ) -> None: + """Persist messages for this session. + + Args: + overwrite: If True, replace all existing messages instead of appending. + Used for compaction workflows. + """ + ... +``` + +Either approach enables the compaction-on-existing-storage workflow: + +```python +history = await provider.get_messages(session_id) +compacted = await strategy.compact(history) +await provider.replace_messages(session_id, compacted) # Option 1 +# or +await provider.save_messages(session_id, compacted, overwrite=True) # Option 2 +``` + +This could then be combined with a convenience method on the provider for compaction: + +```python + +class HistoryProvider: + + compaction_strategy: CompactionStrategy | None = None # Optional default strategy for this provider + + async def compact_storage(self, session_id: str | None, *, strategy: CompactionStrategy | None = None) -> None: + """Compact stored history for this session using the given strategy.""" + history = await self.get_messages(session_id) + used_strategy = strategy or self._get_strategy("existing") or self._get_strategy("pre_write") + if used_strategy is None: + raise ValueError("No compaction strategy configured for existing storage.") + await used_strategy.compact(history) + await self.replace_messages(session_id, history) # or save_messages with overwrite + # or + await self.save_messages(session_id, history, overwrite=True) +``` + +This design choice is orthogonal to the compaction strategy options below — any option requires one of these `HistoryProvider` extensions and optionally the convenience method. + +## More Information + +### Message Attribution and Compaction + +The `source_id` attribution system from ADR-0016 enables intelligent compaction: + +```python +class AttributionAwareStrategy(CompactionStrategy): + """Example: remove ephemeral context but preserve RAG and user messages.""" + + async def compact(self, messages: list[ChatMessage]) -> bool: + ephemeral = [m for m in messages if m.additional_properties.get("source_id") == "ephemeral"] + if not ephemeral: + return False + for msg in ephemeral: + messages.remove(msg) + return True +``` + +### Related Decisions + +- [ADR-0016: Unifying Context Management with ContextPlugin](0016-python-context-middleware.md) — Parent ADR that established `ContextProvider`, `HistoryProvider`, and `AgentSession` architecture. +- [Context Compaction Limitations Analysis](https://gist.github.com/victordibia/ec3f3baf97345f7e47da025cf55b999f) — Detailed analysis of why current architecture cannot support in-run compaction, with attempted solutions and their failure modes. Option 4 in this ADR corresponds to "Option A: Middleware Access to Mutable Message Source" from that analysis; Options 1-3 correspond to "Option B: Tool Loop Hook", adapted here to a `BaseChatClient` hook instead of `FunctionInvocationConfiguration`. From 1a8729d5a7162ab4de0cce5077ccd8a22f0208f7 Mon Sep 17 00:00:00 2001 From: Tao Chen Date: Tue, 3 Mar 2026 13:52:05 -0800 Subject: [PATCH 41/59] Python: Fix workflow tests pyright warnings (#4362) * Fix workflow tests pyright warnings * Update uv.lock * Fix pyright * Comments * Update root pyproject pyright setting * Update core pyproject pyright setting * Update core pyproject pyright setting --- python/packages/core/pyproject.toml | 1 + .../tests/workflow/test_agent_executor.py | 119 ++++++++--- .../test_agent_executor_tool_calls.py | 31 ++- .../core/tests/workflow/test_agent_utils.py | 45 ++--- .../core/tests/workflow/test_checkpoint.py | 23 ++- .../tests/workflow/test_checkpoint_encode.py | 11 +- .../packages/core/tests/workflow/test_edge.py | 19 +- .../core/tests/workflow/test_executor.py | 190 ++++++++++++------ .../tests/workflow/test_executor_future.py | 30 +-- .../tests/workflow/test_full_conversation.py | 97 +++++++-- .../tests/workflow/test_function_executor.py | 126 ++++++------ .../workflow/test_function_executor_future.py | 6 +- .../tests/workflow/test_request_info_mixin.py | 22 +- .../core/tests/workflow/test_runner.py | 53 ++--- .../core/tests/workflow/test_state.py | 42 ++-- .../core/tests/workflow/test_typing_utils.py | 16 +- .../core/tests/workflow/test_validation.py | 12 +- .../packages/core/tests/workflow/test_viz.py | 13 +- .../core/tests/workflow/test_workflow.py | 31 ++- .../tests/workflow/test_workflow_agent.py | 20 +- .../tests/workflow/test_workflow_builder.py | 44 +++- .../tests/workflow/test_workflow_context.py | 10 +- .../tests/workflow/test_workflow_kwargs.py | 82 +++++--- .../workflow/test_workflow_observability.py | 8 +- .../tests/workflow/test_workflow_states.py | 12 +- python/pyproject.toml | 1 - 26 files changed, 696 insertions(+), 368 deletions(-) diff --git a/python/packages/core/pyproject.toml b/python/packages/core/pyproject.toml index a3c3f53ed6..b16ec09ad8 100644 --- a/python/packages/core/pyproject.toml +++ b/python/packages/core/pyproject.toml @@ -105,6 +105,7 @@ extend = "../../pyproject.toml" [tool.pyright] extends = "../../pyproject.toml" +include = ["tests/workflow"] [tool.mypy] plugins = ['pydantic.mypy'] diff --git a/python/packages/core/tests/workflow/test_agent_executor.py b/python/packages/core/tests/workflow/test_agent_executor.py index 4a850db642..788e96e61e 100644 --- a/python/packages/core/tests/workflow/test_agent_executor.py +++ b/python/packages/core/tests/workflow/test_agent_executor.py @@ -2,19 +2,20 @@ import logging from collections.abc import AsyncIterable, Awaitable -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING, Any, Literal, overload import pytest - from agent_framework import ( AgentExecutor, AgentResponse, AgentResponseUpdate, + AgentRunInputs, AgentSession, BaseAgent, Content, Message, ResponseStream, + WorkflowEvent, WorkflowRunState, ) from agent_framework._workflows._agent_executor import AgentExecutorResponse @@ -32,26 +33,56 @@ class _CountingAgent(BaseAgent): super().__init__(**kwargs) self.call_count = 0 + @overload def run( self, - messages: str | Message | list[str] | list[Message] | None = None, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + + def run( + self, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> ( + Awaitable[AgentResponse[Any]] + | ResponseStream[AgentResponseUpdate, AgentResponse[Any]] + ): self.call_count += 1 if stream: async def _stream() -> AsyncIterable[AgentResponseUpdate]: yield AgentResponseUpdate( - contents=[Content.from_text(text=f"Response #{self.call_count}: {self.name}")] + contents=[ + Content.from_text( + text=f"Response #{self.call_count}: {self.name}" + ) + ] ) return ResponseStream(_stream(), finalizer=AgentResponse.from_updates) async def _run() -> AgentResponse: - return AgentResponse(messages=[Message("assistant", [f"Response #{self.call_count}: {self.name}"])]) + return AgentResponse( + messages=[ + Message("assistant", [f"Response #{self.call_count}: {self.name}"]) + ] + ) return _run() @@ -63,13 +94,36 @@ class _StreamingHookAgent(BaseAgent): super().__init__(**kwargs) self.result_hook_called = False + @overload def run( self, - messages: str | Message | list[str] | list[Message] | None = None, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + + def run( + self, + messages: AgentRunInputs | None = None, *, stream: bool = False, + session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> ( + Awaitable[AgentResponse[Any]] + | ResponseStream[AgentResponseUpdate, AgentResponse[Any]] + ): if stream: async def _stream() -> AsyncIterable[AgentResponseUpdate]: @@ -78,13 +132,15 @@ class _StreamingHookAgent(BaseAgent): role="assistant", ) - async def _mark_result_hook_called(response: AgentResponse) -> AgentResponse: + async def _mark_result_hook_called( + response: AgentResponse, + ) -> AgentResponse: self.result_hook_called = True return response - return ResponseStream(_stream(), finalizer=AgentResponse.from_updates).with_result_hook( - _mark_result_hook_called - ) + return ResponseStream( + _stream(), finalizer=AgentResponse.from_updates + ).with_result_hook(_mark_result_hook_called) async def _run() -> AgentResponse: return AgentResponse(messages=[Message("assistant", ["hook test"])]) @@ -92,7 +148,9 @@ class _StreamingHookAgent(BaseAgent): return _run() -async def test_agent_executor_streaming_finalizes_stream_and_runs_result_hooks() -> None: +async def test_agent_executor_streaming_finalizes_stream_and_runs_result_hooks() -> ( + None +): """AgentExecutor should call get_final_response() so stream result hooks execute.""" agent = _StreamingHookAgent(id="hook_agent", name="HookAgent") executor = AgentExecutor(agent, id="hook_exec") @@ -159,7 +217,9 @@ async def test_agent_executor_checkpoint_stores_and_restores_state() -> None: executor_state = executor_states[executor.id] # type: ignore[index] assert "cache" in executor_state, "Checkpoint should store executor cache state" - assert "agent_session" in executor_state, "Checkpoint should store executor session state" + assert "agent_session" in executor_state, ( + "Checkpoint should store executor session state" + ) # Verify session state structure session_state = executor_state["agent_session"] # type: ignore[index] @@ -180,11 +240,15 @@ async def test_agent_executor_checkpoint_stores_and_restores_state() -> None: assert restored_agent.call_count == 0 # Build new workflow with the restored executor - wf_resume = SequentialBuilder(participants=[restored_executor], checkpoint_storage=storage).build() + wf_resume = SequentialBuilder( + participants=[restored_executor], checkpoint_storage=storage + ).build() # Resume from checkpoint resumed_output: AgentExecutorResponse | None = None - async for ev in wf_resume.run(checkpoint_id=restore_checkpoint.checkpoint_id, stream=True): + async for ev in wf_resume.run( + checkpoint_id=restore_checkpoint.checkpoint_id, stream=True + ): if ev.type == "output": resumed_output = ev.data # type: ignore[assignment] if ev.type == "status" and ev.state in ( @@ -278,7 +342,7 @@ async def test_agent_executor_run_streaming_with_stream_kwarg_does_not_raise() - workflow = SequentialBuilder(participants=[executor]).build() # stream=True at workflow level triggers streaming mode (returns async iterable) - events = [] + events: list[WorkflowEvent] = [] async for event in workflow.run("hello", stream=True): events.append(event) assert len(events) > 0 @@ -288,10 +352,13 @@ async def test_agent_executor_run_streaming_with_stream_kwarg_does_not_raise() - @pytest.mark.parametrize("reserved_kwarg", ["session", "stream", "messages"]) async def test_prepare_agent_run_args_strips_reserved_kwargs(reserved_kwarg: str, caplog: "LogCaptureFixture") -> None: """_prepare_agent_run_args must remove reserved kwargs and log a warning.""" - raw = {reserved_kwarg: "should-be-stripped", "custom_key": "keep-me"} + raw: dict[str, Any] = { + reserved_kwarg: "should-be-stripped", + "custom_key": "keep-me", + } with caplog.at_level(logging.WARNING): - run_kwargs, options = AgentExecutor._prepare_agent_run_args(raw) + run_kwargs, options = AgentExecutor._prepare_agent_run_args(raw) # pyright: ignore[reportPrivateUsage] assert reserved_kwarg not in run_kwargs assert "custom_key" in run_kwargs @@ -302,8 +369,8 @@ async def test_prepare_agent_run_args_strips_reserved_kwargs(reserved_kwarg: str async def test_prepare_agent_run_args_preserves_non_reserved_kwargs() -> None: """Non-reserved workflow kwargs should pass through unchanged.""" - raw = {"custom_param": "value", "another": 42} - run_kwargs, options = AgentExecutor._prepare_agent_run_args(raw) + raw: dict[str, Any] = {"custom_param": "value", "another": 42} + run_kwargs, _options = AgentExecutor._prepare_agent_run_args(raw) # pyright: ignore[reportPrivateUsage] assert run_kwargs["custom_param"] == "value" assert run_kwargs["another"] == 42 @@ -312,10 +379,10 @@ async def test_prepare_agent_run_args_strips_all_reserved_kwargs_at_once( caplog: "LogCaptureFixture", ) -> None: """All reserved kwargs should be stripped when supplied together, each emitting a warning.""" - raw = {"session": "x", "stream": True, "messages": [], "custom": 1} + raw: dict[str, Any] = {"session": "x", "stream": True, "messages": [], "custom": 1} with caplog.at_level(logging.WARNING): - run_kwargs, options = AgentExecutor._prepare_agent_run_args(raw) + run_kwargs, options = AgentExecutor._prepare_agent_run_args(raw) # pyright: ignore[reportPrivateUsage] assert "session" not in run_kwargs assert "stream" not in run_kwargs @@ -324,7 +391,11 @@ async def test_prepare_agent_run_args_strips_all_reserved_kwargs_at_once( assert options is not None assert options["additional_function_arguments"]["custom"] == 1 - warned_keys = {r.message.split("'")[1] for r in caplog.records if "reserved" in r.message.lower()} + warned_keys = { + r.message.split("'")[1] + for r in caplog.records + if "reserved" in r.message.lower() + } assert warned_keys == {"session", "stream", "messages"} diff --git a/python/packages/core/tests/workflow/test_agent_executor_tool_calls.py b/python/packages/core/tests/workflow/test_agent_executor_tool_calls.py index cae5ea4e3b..07a37f9617 100644 --- a/python/packages/core/tests/workflow/test_agent_executor_tool_calls.py +++ b/python/packages/core/tests/workflow/test_agent_executor_tool_calls.py @@ -3,7 +3,7 @@ """Tests for AgentExecutor handling of tool calls and results in streaming mode.""" from collections.abc import AsyncIterable, Awaitable, Mapping, Sequence -from typing import Any +from typing import Any, Literal, overload from typing_extensions import Never @@ -13,6 +13,7 @@ from agent_framework import ( AgentExecutorResponse, AgentResponse, AgentResponseUpdate, + AgentRunInputs, AgentSession, BaseAgent, ChatResponse, @@ -37,18 +38,38 @@ class _ToolCallingAgent(BaseAgent): def __init__(self, **kwargs: Any) -> None: super().__init__(**kwargs) + @overload def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + + def run( + self, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: if stream: return ResponseStream(self._run_stream_impl(), finalizer=AgentResponse.from_updates) - async def _run() -> AgentResponse: + async def _run() -> AgentResponse[Any]: return AgentResponse(messages=[Message("assistant", ["done"])]) return _run() @@ -111,6 +132,7 @@ async def test_agent_executor_emits_tool_calls_in_streaming_mode() -> None: # First event: text update assert events[0].data is not None assert events[0].data.contents[0].type == "text" + assert events[0].data.contents[0].text is not None assert "Let me search" in events[0].data.contents[0].text # Second event: function call @@ -129,6 +151,7 @@ async def test_agent_executor_emits_tool_calls_in_streaming_mode() -> None: # Fourth event: final text assert events[3].data is not None assert events[3].data.contents[0].type == "text" + assert events[3].data.contents[0].text is not None assert "sunny" in events[3].data.contents[0].text diff --git a/python/packages/core/tests/workflow/test_agent_utils.py b/python/packages/core/tests/workflow/test_agent_utils.py index d3889b4d3b..07d1e64c08 100644 --- a/python/packages/core/tests/workflow/test_agent_utils.py +++ b/python/packages/core/tests/workflow/test_agent_utils.py @@ -1,9 +1,9 @@ # Copyright (c) Microsoft. All rights reserved. -from collections.abc import AsyncIterable -from typing import Any +from collections.abc import Awaitable +from typing import Any, Literal, overload -from agent_framework import AgentResponse, AgentResponseUpdate, AgentSession, Message +from agent_framework import AgentResponse, AgentResponseUpdate, AgentRunInputs, AgentSession, ResponseStream from agent_framework._workflows._agent_utils import resolve_agent_id @@ -11,40 +11,23 @@ class MockAgent: """Mock agent for testing agent utilities.""" def __init__(self, agent_id: str, name: str | None = None) -> None: - self._id = agent_id - self._name = name + self.id: str = agent_id + self.name: str | None = name + self.description: str | None = None - @property - def id(self) -> str: - return self._id - - @property - def name(self) -> str | None: - return self._name - - @property - def display_name(self) -> str: - """Returns the display name of the agent.""" - ... - - @property - def description(self) -> str | None: - """Returns the description of the agent.""" - ... - - def run( - self, - messages: str | Message | list[str] | list[Message] | None = None, - *, - stream: bool = False, - session: AgentSession | None = None, - **kwargs: Any, - ) -> AgentResponse | AsyncIterable[AgentResponseUpdate]: ... + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[False] = ..., session: AgentSession | None = ..., **kwargs: Any) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[True], session: AgentSession | None = ..., **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run(self, messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... def create_session(self, **kwargs: Any) -> AgentSession: """Creates a new conversation session for the agent.""" ... + def get_session(self, *, service_session_id: str, **kwargs: Any) -> AgentSession: + return AgentSession() + def test_resolve_agent_id_with_name() -> None: """Test that resolve_agent_id returns name when agent has a name.""" diff --git a/python/packages/core/tests/workflow/test_checkpoint.py b/python/packages/core/tests/workflow/test_checkpoint.py index b05d625502..a32489acc0 100644 --- a/python/packages/core/tests/workflow/test_checkpoint.py +++ b/python/packages/core/tests/workflow/test_checkpoint.py @@ -5,6 +5,7 @@ import tempfile from dataclasses import dataclass from datetime import datetime, timezone from pathlib import Path +from typing import Any import pytest @@ -24,7 +25,7 @@ class _TestToolApprovalRequest: """Request data for tool approval in tests.""" tool_name: str - arguments: dict + arguments: dict[str, Any] timestamp: datetime @@ -41,7 +42,7 @@ class _TestApprovalRequest: """Approval request data for tests.""" action: str - params: tuple + params: tuple[Any, ...] @dataclass @@ -78,8 +79,8 @@ def test_workflow_checkpoint_custom_values(): workflow_name="test-workflow-456", graph_signature_hash="test-hash-456", timestamp=custom_timestamp, - messages={"executor1": [{"data": "test"}]}, - pending_request_info_events={"req123": {"data": "test"}}, + messages={"executor1": [{"data": "test"}]}, # type: ignore[arg-type] # raw dict for serialization test + pending_request_info_events={"req123": {"data": "test"}}, # type: ignore[arg-type] # raw dict for serialization test state={"key": "value"}, iteration_count=5, metadata={"test": True}, @@ -103,7 +104,7 @@ def test_workflow_checkpoint_to_dict(): checkpoint_id="test-id", workflow_name="test-workflow", graph_signature_hash="test-hash", - messages={"executor1": [{"data": "test"}]}, + messages={"executor1": [{"data": "test"}]}, # type: ignore[arg-type] # raw dict for serialization test state={"key": "value"}, iteration_count=5, ) @@ -161,8 +162,8 @@ async def test_memory_checkpoint_storage_save_and_load(): checkpoint = WorkflowCheckpoint( workflow_name="test-workflow", graph_signature_hash="test-hash", - messages={"executor1": [{"data": "hello"}]}, - pending_request_info_events={"req123": {"data": "test"}}, + messages={"executor1": [{"data": "hello"}]}, # type: ignore[arg-type] # raw dict for serialization test + pending_request_info_events={"req123": {"data": "test"}}, # type: ignore[arg-type] # raw dict for serialization test ) # Save checkpoint @@ -776,9 +777,9 @@ async def test_file_checkpoint_storage_save_and_load(): checkpoint = WorkflowCheckpoint( workflow_name="test-workflow", graph_signature_hash="test-hash", - messages={"executor1": [{"data": "hello", "source_id": "test", "target_id": None}]}, + messages={"executor1": [{"data": "hello", "source_id": "test", "target_id": None}]}, # type: ignore[arg-type] # raw dict for serialization test state={"key": "value"}, - pending_request_info_events={"req123": {"data": "test"}}, + pending_request_info_events={"req123": {"data": "test"}}, # type: ignore[arg-type] # raw dict for serialization test ) # Save checkpoint @@ -904,9 +905,9 @@ async def test_file_checkpoint_storage_json_serialization(): checkpoint = WorkflowCheckpoint( workflow_name="test-workflow", graph_signature_hash="test-hash", - messages={"executor1": [{"data": {"nested": {"value": 42}}, "source_id": "test", "target_id": None}]}, + messages={"executor1": [{"data": {"nested": {"value": 42}}, "source_id": "test", "target_id": None}]}, # type: ignore[arg-type] # raw dict for serialization test state={"list": [1, 2, 3], "dict": {"a": "b", "c": {"d": "e"}}, "bool": True, "null": None}, - pending_request_info_events={"req123": {"data": "test"}}, + pending_request_info_events={"req123": {"data": "test"}}, # type: ignore[arg-type] # raw dict for serialization test ) # Save and load diff --git a/python/packages/core/tests/workflow/test_checkpoint_encode.py b/python/packages/core/tests/workflow/test_checkpoint_encode.py index 68ec1ac4e3..02da2f1297 100644 --- a/python/packages/core/tests/workflow/test_checkpoint_encode.py +++ b/python/packages/core/tests/workflow/test_checkpoint_encode.py @@ -3,11 +3,11 @@ import json from dataclasses import dataclass from datetime import datetime, timezone -from typing import Any +from typing import Any, cast from agent_framework._workflows._checkpoint_encoding import ( - _PICKLE_MARKER, - _TYPE_MARKER, + _PICKLE_MARKER, # pyright: ignore[reportPrivateUsage] + _TYPE_MARKER, # pyright: ignore[reportPrivateUsage] encode_checkpoint_value, ) @@ -185,8 +185,9 @@ def test_encode_list_of_dataclasses() -> None: result = encode_checkpoint_value(data) assert isinstance(result, list) - assert len(result) == 2 - for item in result: + result_list = cast(list[Any], result) + assert len(result_list) == 2 + for item in result_list: assert _PICKLE_MARKER in item diff --git a/python/packages/core/tests/workflow/test_edge.py b/python/packages/core/tests/workflow/test_edge.py index f63cf9b45b..ecaa341726 100644 --- a/python/packages/core/tests/workflow/test_edge.py +++ b/python/packages/core/tests/workflow/test_edge.py @@ -4,6 +4,8 @@ from dataclasses import dataclass from typing import Any from unittest.mock import patch +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter + import pytest from agent_framework import ( @@ -275,6 +277,7 @@ async def test_single_edge_group_send_message_with_condition_pass() -> None: success = await edge_runner.send_message(message, state, ctx) assert success is True assert target.call_count == 1 + assert target.last_message is not None assert target.last_message.data == "test" @@ -301,7 +304,7 @@ async def test_single_edge_group_send_message_with_condition_fail() -> None: assert target.call_count == 0 -async def test_single_edge_group_tracing_success(span_exporter) -> None: +async def test_single_edge_group_tracing_success(span_exporter: InMemorySpanExporter) -> None: """Test that single edge group processing creates proper success spans.""" source = MockExecutor(id="source_executor") target = MockExecutor(id="target_executor") @@ -352,7 +355,7 @@ async def test_single_edge_group_tracing_success(span_exporter) -> None: assert link.context.span_id == int("00f067aa0ba902b7", 16) -async def test_single_edge_group_tracing_condition_failure(span_exporter) -> None: +async def test_single_edge_group_tracing_condition_failure(span_exporter: InMemorySpanExporter) -> None: """Test that single edge group processing creates proper spans for condition failures.""" source = MockExecutor(id="source_executor") target = MockExecutor(id="target_executor") @@ -386,7 +389,7 @@ async def test_single_edge_group_tracing_condition_failure(span_exporter) -> Non assert span.attributes.get("edge_group.delivery_status") == EdgeGroupDeliveryStatus.DROPPED_CONDITION_FALSE.value -async def test_single_edge_group_tracing_type_mismatch(span_exporter) -> None: +async def test_single_edge_group_tracing_type_mismatch(span_exporter: InMemorySpanExporter) -> None: """Test that single edge group processing creates proper spans for type mismatches.""" source = MockExecutor(id="source_executor") target = MockExecutor(id="target_executor") @@ -421,7 +424,7 @@ async def test_single_edge_group_tracing_type_mismatch(span_exporter) -> None: assert span.attributes.get("edge_group.delivery_status") == EdgeGroupDeliveryStatus.DROPPED_TYPE_MISMATCH.value -async def test_single_edge_group_tracing_target_mismatch(span_exporter) -> None: +async def test_single_edge_group_tracing_target_mismatch(span_exporter: InMemorySpanExporter) -> None: """Test that single edge group processing creates proper spans for target mismatches.""" source = MockExecutor(id="source_executor") target = MockExecutor(id="target_executor") @@ -775,7 +778,7 @@ async def test_source_edge_group_with_selection_func_send_message_with_target_in assert success is False -async def test_fan_out_edge_group_tracing_success(span_exporter) -> None: +async def test_fan_out_edge_group_tracing_success(span_exporter: InMemorySpanExporter) -> None: """Test that fan-out edge group processing creates proper success spans.""" source = MockExecutor(id="source_executor") target1 = MockExecutor(id="target_executor_1") @@ -827,7 +830,7 @@ async def test_fan_out_edge_group_tracing_success(span_exporter) -> None: assert link.context.span_id == int("00f067aa0ba902b7", 16) -async def test_fan_out_edge_group_tracing_with_target(span_exporter) -> None: +async def test_fan_out_edge_group_tracing_with_target(span_exporter: InMemorySpanExporter) -> None: """Test that fan-out edge group processing creates proper spans for targeted messages.""" source = MockExecutor(id="source_executor") target1 = MockExecutor(id="target_executor_1") @@ -994,7 +997,7 @@ async def test_target_edge_group_send_message_with_invalid_data() -> None: assert success is False -async def test_fan_in_edge_group_tracing_buffered(span_exporter) -> None: +async def test_fan_in_edge_group_tracing_buffered(span_exporter: InMemorySpanExporter) -> None: """Test that fan-in edge group processing creates proper spans for buffered messages.""" source1 = MockExecutor(id="source_executor_1") source2 = MockExecutor(id="source_executor_2") @@ -1086,7 +1089,7 @@ async def test_fan_in_edge_group_tracing_buffered(span_exporter) -> None: assert link.context.span_id == int("00f067aa0ba902b8", 16) -async def test_fan_in_edge_group_tracing_type_mismatch(span_exporter) -> None: +async def test_fan_in_edge_group_tracing_type_mismatch(span_exporter: InMemorySpanExporter) -> None: """Test that fan-in edge group processing creates proper spans for type mismatches.""" source1 = MockExecutor(id="source_executor_1") source2 = MockExecutor(id="source_executor_2") diff --git a/python/packages/core/tests/workflow/test_executor.py b/python/packages/core/tests/workflow/test_executor.py index 06d027f19d..77827c0634 100644 --- a/python/packages/core/tests/workflow/test_executor.py +++ b/python/packages/core/tests/workflow/test_executor.py @@ -3,8 +3,6 @@ from dataclasses import dataclass import pytest -from typing_extensions import Never - from agent_framework import ( Executor, Message, @@ -16,6 +14,7 @@ from agent_framework import ( handler, response_handler, ) +from typing_extensions import Never # Module-level types for string forward reference tests @@ -59,7 +58,7 @@ def test_executor_handler_without_annotations(): class MockExecutorWithOneHandlerWithoutAnnotations(Executor): # type: ignore """A mock executor with one handler that does not implement any annotations.""" - @handler + @handler # pyright: ignore[reportUnknownArgumentType] async def handle(self, message, ctx) -> None: # type: ignore """A mock handler that does not implement any annotations.""" pass @@ -156,7 +155,11 @@ async def test_executor_invoked_event_contains_input_data(): workflow = WorkflowBuilder(start_executor=upper).add_edge(upper, collector).build() events = await workflow.run("hello world") - invoked_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_invoked"] + invoked_events = [ + e + for e in events + if isinstance(e, WorkflowEvent) and e.type == "executor_invoked" + ] assert len(invoked_events) == 2 @@ -190,10 +193,16 @@ async def test_executor_completed_event_contains_sent_messages(): sender = MultiSenderExecutor(id="sender") collector = CollectorExecutor(id="collector") - workflow = WorkflowBuilder(start_executor=sender).add_edge(sender, collector).build() + workflow = ( + WorkflowBuilder(start_executor=sender).add_edge(sender, collector).build() + ) events = await workflow.run("hello") - completed_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_completed"] + completed_events = [ + e + for e in events + if isinstance(e, WorkflowEvent) and e.type == "executor_completed" + ] # Sender should have completed with the sent messages sender_completed = next(e for e in completed_events if e.executor_id == "sender") @@ -201,7 +210,9 @@ async def test_executor_completed_event_contains_sent_messages(): assert sender_completed.data == ["hello-first", "hello-second"] # Collector should have completed with no sent messages (None) - collector_completed_events = [e for e in completed_events if e.executor_id == "collector"] + collector_completed_events = [ + e for e in completed_events if e.executor_id == "collector" + ] # Collector is called twice (once per message from sender) assert len(collector_completed_events) == 2 for collector_completed in collector_completed_events: @@ -220,7 +231,11 @@ async def test_executor_completed_event_includes_yielded_outputs(): workflow = WorkflowBuilder(start_executor=executor).build() events = await workflow.run("test") - completed_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_completed"] + completed_events = [ + e + for e in events + if isinstance(e, WorkflowEvent) and e.type == "executor_completed" + ] assert len(completed_events) == 1 assert completed_events[0].executor_id == "yielder" @@ -248,7 +263,9 @@ async def test_executor_events_with_complex_message_types(): class ProcessorExecutor(Executor): @handler - async def handle(self, request: Request, ctx: WorkflowContext[Response]) -> None: + async def handle( + self, request: Request, ctx: WorkflowContext[Response] + ) -> None: response = Response(results=[request.query.upper()] * request.limit) await ctx.send_message(response) @@ -260,13 +277,23 @@ async def test_executor_events_with_complex_message_types(): processor = ProcessorExecutor(id="processor") collector = CollectorExecutor(id="collector") - workflow = WorkflowBuilder(start_executor=processor).add_edge(processor, collector).build() + workflow = ( + WorkflowBuilder(start_executor=processor).add_edge(processor, collector).build() + ) input_request = Request(query="hello", limit=3) events = await workflow.run(input_request) - invoked_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_invoked"] - completed_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_completed"] + invoked_events = [ + e + for e in events + if isinstance(e, WorkflowEvent) and e.type == "executor_invoked" + ] + completed_events = [ + e + for e in events + if isinstance(e, WorkflowEvent) and e.type == "executor_completed" + ] # Check processor invoked event has the Request object processor_invoked = next(e for e in invoked_events if e.executor_id == "processor") @@ -275,7 +302,9 @@ async def test_executor_events_with_complex_message_types(): assert processor_invoked.data.limit == 3 # Check processor completed event has the Response object - processor_completed = next(e for e in completed_events if e.executor_id == "processor") + processor_completed = next( + e for e in completed_events if e.executor_id == "processor" + ) assert processor_completed.data is not None assert len(processor_completed.data) == 1 assert isinstance(processor_completed.data[0], Response) @@ -361,7 +390,9 @@ def test_executor_workflow_output_types_property(): # Test executor with union workflow output types class UnionWorkflowOutputExecutor(Executor): @handler - async def handle(self, text: str, ctx: WorkflowContext[int, str | bool]) -> None: + async def handle( + self, text: str, ctx: WorkflowContext[int, str | bool] + ) -> None: pass executor = UnionWorkflowOutputExecutor(id="union_workflow_output") @@ -372,11 +403,15 @@ def test_executor_workflow_output_types_property(): # Test executor with multiple handlers having different workflow output types class MultiHandlerWorkflowExecutor(Executor): @handler - async def handle_string(self, text: str, ctx: WorkflowContext[int, str]) -> None: + async def handle_string( + self, text: str, ctx: WorkflowContext[int, str] + ) -> None: pass @handler - async def handle_number(self, num: int, ctx: WorkflowContext[bool, float]) -> None: + async def handle_number( + self, num: int, ctx: WorkflowContext[bool, float] + ) -> None: pass executor = MultiHandlerWorkflowExecutor(id="multi_workflow") @@ -430,7 +465,9 @@ def test_executor_output_types_includes_response_handlers(): pass @response_handler - async def handle_response(self, original_request: str, response: bool, ctx: WorkflowContext[float]) -> None: + async def handle_response( + self, original_request: str, response: bool, ctx: WorkflowContext[float] + ) -> None: pass executor = RequestResponseExecutor(id="request_response") @@ -452,7 +489,10 @@ def test_executor_workflow_output_types_includes_response_handlers(): @response_handler async def handle_response( - self, original_request: str, response: bool, ctx: WorkflowContext[float, bool] + self, + original_request: str, + response: bool, + ctx: WorkflowContext[float, bool], ) -> None: pass @@ -509,7 +549,10 @@ def test_executor_response_handler_union_output_types(): @response_handler async def handle_response( - self, original_request: str, response: bool, ctx: WorkflowContext[int | str | float, bool | int] + self, + original_request: str, + response: bool, + ctx: WorkflowContext[int | str | float, bool | int], ) -> None: pass @@ -531,7 +574,9 @@ async def test_executor_invoked_event_data_not_mutated_by_handler(): """Test that executor_invoked event (type='executor_invoked').data captures original input, not mutated input.""" @executor(id="Mutator") - async def mutator(messages: list[Message], ctx: WorkflowContext[list[Message]]) -> None: + async def mutator( + messages: list[Message], ctx: WorkflowContext[list[Message]] + ) -> None: # The handler mutates the input list by appending new messages original_len = len(messages) messages.append(Message(role="assistant", text="Added by executor")) @@ -546,7 +591,11 @@ async def test_executor_invoked_event_data_not_mutated_by_handler(): events = await workflow.run(input_messages) # Find the invoked event for the Mutator executor - invoked_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_invoked"] + invoked_events = [ + e + for e in events + if isinstance(e, WorkflowEvent) and e.type == "executor_invoked" + ] assert len(invoked_events) == 1 mutator_invoked = invoked_events[0] @@ -577,8 +626,8 @@ class TestHandlerExplicitTypes: exec_instance = ExplicitInputExecutor(id="explicit_input") # Handler should be registered for str (explicit), not Any (introspected) - assert str in exec_instance._handlers - assert len(exec_instance._handlers) == 1 + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + assert len(exec_instance._handlers) == 1 # pyright: ignore[reportPrivateUsage] # Can handle str messages assert exec_instance.can_handle(WorkflowMessage(data="hello", source_id="mock")) @@ -596,8 +645,8 @@ class TestHandlerExplicitTypes: exec_instance = ExplicitOutputExecutor(id="explicit_output") # Handler spec should have int as output type (explicit) - handler_func = exec_instance._handlers[str] - assert handler_func._handler_spec["output_types"] == [int] + handler_func = exec_instance._handlers[str] # pyright: ignore[reportPrivateUsage] + assert handler_func._handler_spec["output_types"] == [int] # pyright: ignore[reportFunctionMemberAccess] # Executor output_types property should reflect explicit type assert int in exec_instance.output_types @@ -615,16 +664,20 @@ class TestHandlerExplicitTypes: exec_instance = ExplicitBothExecutor(id="explicit_both") # Handler should be registered for dict (explicit input type) - assert dict in exec_instance._handlers - assert len(exec_instance._handlers) == 1 + assert dict in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + assert len(exec_instance._handlers) == 1 # pyright: ignore[reportPrivateUsage] # Output type should be list (explicit) - handler_func = exec_instance._handlers[dict] - assert handler_func._handler_spec["output_types"] == [list] + handler_func = exec_instance._handlers[dict] # pyright: ignore[reportPrivateUsage] + assert handler_func._handler_spec["output_types"] == [list] # pyright: ignore[reportFunctionMemberAccess] # Verify can_handle - assert exec_instance.can_handle(WorkflowMessage(data={"key": "value"}, source_id="mock")) - assert not exec_instance.can_handle(WorkflowMessage(data="string", source_id="mock")) + assert exec_instance.can_handle( + WorkflowMessage(data={"key": "value"}, source_id="mock") + ) + assert not exec_instance.can_handle( + WorkflowMessage(data="string", source_id="mock") + ) def test_handler_with_explicit_union_input_type(self): """Test that explicit union input_type is handled correctly.""" @@ -639,13 +692,15 @@ class TestHandlerExplicitTypes: # Handler should be registered for the union type # The union type itself is stored as the key - assert len(exec_instance._handlers) == 1 + assert len(exec_instance._handlers) == 1 # pyright: ignore[reportPrivateUsage] # Can handle both str and int messages assert exec_instance.can_handle(WorkflowMessage(data="hello", source_id="mock")) assert exec_instance.can_handle(WorkflowMessage(data=42, source_id="mock")) # Cannot handle float - assert not exec_instance.can_handle(WorkflowMessage(data=3.14, source_id="mock")) + assert not exec_instance.can_handle( + WorkflowMessage(data=3.14, source_id="mock") + ) def test_handler_with_explicit_union_output_type(self): """Test that explicit union output is normalized to a list.""" @@ -674,8 +729,8 @@ class TestHandlerExplicitTypes: exec_instance = PrecedenceExecutor(id="precedence") # Should use explicit input type (bytes), not introspected (str) - assert bytes in exec_instance._handlers - assert str not in exec_instance._handlers + assert bytes in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + assert str not in exec_instance._handlers # pyright: ignore[reportPrivateUsage] # Should use explicit output type (float), not introspected (int) assert float in exec_instance.output_types @@ -692,7 +747,7 @@ class TestHandlerExplicitTypes: exec_instance = IntrospectedExecutor(id="introspected") # Should use introspected types - assert str in exec_instance._handlers + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] assert int in exec_instance.output_types def test_handler_explicit_mode_requires_input(self): @@ -705,13 +760,13 @@ class TestHandlerExplicitTypes: pass exec_input = OnlyInputExecutor(id="only_input") - assert bytes in exec_input._handlers # Explicit + assert bytes in exec_input._handlers # pyright: ignore[reportPrivateUsage] # Explicit assert exec_input.output_types == [] # No output types (not introspected) # Only explicit output without input should raise error with pytest.raises(ValueError, match="must specify 'input' type"): - class OnlyOutputExecutor(Executor): + class OnlyOutputExecutor(Executor): # pyright: ignore[reportUnusedClass] @handler(output=float) async def handle(self, message: str, ctx: WorkflowContext[int]) -> None: pass @@ -719,9 +774,11 @@ class TestHandlerExplicitTypes: # Only explicit workflow_output without input should raise error with pytest.raises(ValueError, match="must specify 'input' type"): - class OnlyWorkflowOutputExecutor(Executor): + class OnlyWorkflowOutputExecutor(Executor): # pyright: ignore[reportUnusedClass] @handler(workflow_output=bool) - async def handle(self, message: str, ctx: WorkflowContext[int, str]) -> None: + async def handle( + self, message: str, ctx: WorkflowContext[int, str] + ) -> None: pass def test_handler_explicit_input_type_allows_no_message_annotation(self): @@ -734,8 +791,7 @@ class TestHandlerExplicitTypes: exec_instance = NoAnnotationExecutor(id="no_annotation") - # Should work with explicit input_type - assert str in exec_instance._handlers + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] assert exec_instance.can_handle(WorkflowMessage(data="hello", source_id="mock")) def test_handler_multiple_handlers_mixed_explicit_and_introspected(self): @@ -747,15 +803,17 @@ class TestHandlerExplicitTypes: pass @handler - async def handle_introspected(self, message: float, ctx: WorkflowContext[bool]) -> None: + async def handle_introspected( + self, message: float, ctx: WorkflowContext[bool] + ) -> None: pass exec_instance = MixedExecutor(id="mixed") # Should have both handlers - assert len(exec_instance._handlers) == 2 - assert str in exec_instance._handlers # Explicit - assert float in exec_instance._handlers # Introspected + assert len(exec_instance._handlers) == 2 # pyright: ignore[reportPrivateUsage] + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] # Explicit + assert float in exec_instance._handlers # pyright: ignore[reportPrivateUsage] # Introspected # Should have both output types assert int in exec_instance.output_types # Explicit @@ -772,8 +830,10 @@ class TestHandlerExplicitTypes: exec_instance = StringRefExecutor(id="string_ref") # Should resolve the string to the actual type - assert ForwardRefMessage in exec_instance._handlers - assert exec_instance.can_handle(WorkflowMessage(data=ForwardRefMessage("hello"), source_id="mock")) + assert ForwardRefMessage in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + assert exec_instance.can_handle( + WorkflowMessage(data=ForwardRefMessage("hello"), source_id="mock") + ) def test_handler_with_string_forward_reference_union(self): """Test that string forward references work with union types.""" @@ -786,8 +846,12 @@ class TestHandlerExplicitTypes: exec_instance = StringUnionExecutor(id="string_union") # Should handle both types - assert exec_instance.can_handle(WorkflowMessage(data=ForwardRefTypeA("hello"), source_id="mock")) - assert exec_instance.can_handle(WorkflowMessage(data=ForwardRefTypeB(42), source_id="mock")) + assert exec_instance.can_handle( + WorkflowMessage(data=ForwardRefTypeA("hello"), source_id="mock") + ) + assert exec_instance.can_handle( + WorkflowMessage(data=ForwardRefTypeB(42), source_id="mock") + ) def test_handler_with_string_forward_reference_output_type(self): """Test that string forward references work for output_type.""" @@ -813,8 +877,8 @@ class TestHandlerExplicitTypes: exec_instance = ExplicitWorkflowOutputExecutor(id="explicit_workflow_output") # Handler spec should have bool as workflow_output_type (explicit) - handler_func = exec_instance._handlers[str] - assert handler_func._handler_spec["workflow_output_types"] == [bool] + handler_func = exec_instance._handlers[str] # pyright: ignore[reportPrivateUsage] + assert handler_func._handler_spec["workflow_output_types"] == [bool] # pyright: ignore[reportFunctionMemberAccess] # Executor workflow_output_types property should reflect explicit type assert bool in exec_instance.workflow_output_types @@ -826,13 +890,14 @@ class TestHandlerExplicitTypes: class PrecedenceExecutor(Executor): @handler(input=int, output=float, workflow_output=str) - async def handle(self, message: int, ctx: WorkflowContext[int, bool]) -> None: + async def handle( + self, message: int, ctx: WorkflowContext[int, bool] + ) -> None: pass exec_instance = PrecedenceExecutor(id="precedence") - # All types should come from explicit params - assert int in exec_instance._handlers + assert int in exec_instance._handlers # pyright: ignore[reportPrivateUsage] assert float in exec_instance.output_types assert str in exec_instance.workflow_output_types # Introspected types should NOT be present @@ -849,8 +914,7 @@ class TestHandlerExplicitTypes: exec_instance = AllExplicitExecutor(id="all_explicit") - # Check input type - assert str in exec_instance._handlers + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] assert exec_instance.can_handle(WorkflowMessage(data="hello", source_id="mock")) # Check output_type @@ -894,7 +958,9 @@ class TestHandlerExplicitTypes: async def handle(self, message, ctx: WorkflowContext) -> None: # type: ignore[no-untyped-def] pass - exec_instance = StringUnionWorkflowOutputExecutor(id="string_union_workflow_output") + exec_instance = StringUnionWorkflowOutputExecutor( + id="string_union_workflow_output" + ) # Should resolve both types from string union assert ForwardRefTypeA in exec_instance.workflow_output_types @@ -905,10 +971,14 @@ class TestHandlerExplicitTypes: class IntrospectedWorkflowOutputExecutor(Executor): @handler - async def handle(self, message: str, ctx: WorkflowContext[int, bool]) -> None: + async def handle( + self, message: str, ctx: WorkflowContext[int, bool] + ) -> None: pass - exec_instance = IntrospectedWorkflowOutputExecutor(id="introspected_workflow_output") + exec_instance = IntrospectedWorkflowOutputExecutor( + id="introspected_workflow_output" + ) # Should use introspected types from WorkflowContext[int, bool] assert int in exec_instance.output_types diff --git a/python/packages/core/tests/workflow/test_executor_future.py b/python/packages/core/tests/workflow/test_executor_future.py index c0916b9cf7..cb0c5c9f58 100644 --- a/python/packages/core/tests/workflow/test_executor_future.py +++ b/python/packages/core/tests/workflow/test_executor_future.py @@ -34,8 +34,8 @@ class TestExecutorFutureAnnotations: pass exec_instance = MyExecutor(id="test") - assert str in exec_instance._handlers - spec = exec_instance._handler_specs[0] + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + spec = exec_instance._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is str assert spec["output_types"] == [MyTypeA] assert spec["workflow_output_types"] == [MyTypeB] @@ -49,8 +49,8 @@ class TestExecutorFutureAnnotations: pass exec_instance = MyExecutor(id="test") - assert int in exec_instance._handlers - spec = exec_instance._handler_specs[0] + assert int in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + spec = exec_instance._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is int assert spec["output_types"] == [MyTypeA] @@ -63,7 +63,7 @@ class TestExecutorFutureAnnotations: pass exec_instance = MyExecutor(id="test") - spec = exec_instance._handler_specs[0] + spec = exec_instance._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] == dict[str, Any] assert spec["output_types"] == [list[str]] @@ -76,8 +76,8 @@ class TestExecutorFutureAnnotations: pass exec_instance = MyExecutor(id="test") - assert str in exec_instance._handlers - spec = exec_instance._handler_specs[0] + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + spec = exec_instance._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["output_types"] == [] assert spec["workflow_output_types"] == [] @@ -86,12 +86,12 @@ class TestExecutorFutureAnnotations: class MyExecutor(Executor): @handler(input=str, output=MyTypeA) - async def example(self, input, ctx) -> None: + async def example(self, input, ctx) -> None: # type: ignore[no-untyped-def] pass exec_instance = MyExecutor(id="test") - assert str in exec_instance._handlers - spec = exec_instance._handler_specs[0] + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + spec = exec_instance._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is str assert spec["output_types"] == [MyTypeA] @@ -104,8 +104,8 @@ class TestExecutorFutureAnnotations: pass exec_instance = MyExecutor(id="test") - assert str in exec_instance._handlers - spec = exec_instance._handler_specs[0] + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] + spec = exec_instance._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["output_types"] == [MyTypeA, MyTypeB] assert spec["workflow_output_types"] == [MyTypeC] @@ -118,7 +118,7 @@ class TestExecutorFutureAnnotations: """ with pytest.raises(ValueError): - class Bad(Executor): - @handler - async def example(self, input: NonExistentType, ctx: WorkflowContext[MyTypeA, MyTypeB]) -> None: # noqa: F821 + class Bad(Executor): # pyright: ignore[reportUnusedClass] + @handler # pyright: ignore[reportUnknownArgumentType] + async def example(self, input: NonExistentType, ctx: WorkflowContext[MyTypeA, MyTypeB]) -> None: # noqa: F821 # type: ignore[name-defined] pass diff --git a/python/packages/core/tests/workflow/test_full_conversation.py b/python/packages/core/tests/workflow/test_full_conversation.py index 20d9abd8c0..b6b5260d83 100644 --- a/python/packages/core/tests/workflow/test_full_conversation.py +++ b/python/packages/core/tests/workflow/test_full_conversation.py @@ -1,7 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. -from collections.abc import AsyncIterable, Awaitable, Sequence -from typing import Any +from collections.abc import AsyncIterable, Awaitable +from typing import Any, Literal, overload import pytest from pydantic import PrivateAttr @@ -13,6 +13,7 @@ from agent_framework import ( AgentExecutorResponse, AgentResponse, AgentResponseUpdate, + AgentRunInputs, AgentSession, BaseAgent, Content, @@ -34,14 +35,32 @@ class _SimpleAgent(BaseAgent): super().__init__(**kwargs) self._reply_text = reply_text + @overload def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( + self, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: if stream: async def _stream() -> AsyncIterable[AgentResponseUpdate]: @@ -81,14 +100,32 @@ class _ToolHistoryAgent(BaseAgent): Message(role="assistant", contents=[Content.from_text(text=self._summary_text)]), ] + @overload def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( + self, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: if stream: async def _stream() -> AsyncIterable[AgentResponseUpdate]: @@ -165,14 +202,32 @@ class _CaptureAgent(BaseAgent): super().__init__(**kwargs) self._reply_text = reply_text + @overload def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( + self, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: # Normalize and record messages for verification norm: list[Message] = [] if messages: @@ -260,7 +315,7 @@ class _RoundTripCoordinator(Executor): async def handle_response( self, response: AgentExecutorResponse, - ctx: WorkflowContext[Never, dict[str, Any]], + ctx: WorkflowContext[AgentExecutorRequest, dict[str, Any]], ) -> None: self._seen += 1 if self._seen == 1: @@ -314,14 +369,32 @@ class _SessionIdCapturingAgent(BaseAgent): _captured_service_session_id: str | None = PrivateAttr(default="NOT_CAPTURED") + @overload def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( + self, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: self._captured_service_session_id = session.service_session_id if session else None async def _run() -> AgentResponse: @@ -342,7 +415,7 @@ class _FullHistoryReplayCoordinator(Executor): async def handle( self, response: AgentExecutorResponse, - ctx: WorkflowContext[Never, Any], + ctx: WorkflowContext[AgentExecutorRequest, Any], ) -> None: full_conv = list(response.full_conversation or response.agent_response.messages) full_conv.append(Message(role="user", text="follow-up")) diff --git a/python/packages/core/tests/workflow/test_function_executor.py b/python/packages/core/tests/workflow/test_function_executor.py index c0b73156ff..8bb3f94d29 100644 --- a/python/packages/core/tests/workflow/test_function_executor.py +++ b/python/packages/core/tests/workflow/test_function_executor.py @@ -48,12 +48,12 @@ class TestFunctionExecutor: func_exec = FunctionExecutor(process_string) # Check that handler was registered - assert len(func_exec._handlers) == 1 - assert str in func_exec._handlers + assert len(func_exec._handlers) == 1 # pyright: ignore[reportPrivateUsage] + assert str in func_exec._handlers # pyright: ignore[reportPrivateUsage] # Check handler spec was created - assert len(func_exec._handler_specs) == 1 - spec = func_exec._handler_specs[0] + assert len(func_exec._handler_specs) == 1 # pyright: ignore[reportPrivateUsage] + spec = func_exec._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["name"] == "process_string" assert spec["message_type"] is str assert spec["output_types"] == [str] @@ -67,10 +67,10 @@ class TestFunctionExecutor: assert isinstance(process_int, FunctionExecutor) assert process_int.id == "test_executor" - assert int in process_int._handlers + assert int in process_int._handlers # pyright: ignore[reportPrivateUsage] # Check spec - spec = process_int._handler_specs[0] + spec = process_int._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is int assert spec["output_types"] == [int] @@ -78,7 +78,7 @@ class TestFunctionExecutor: """Test @executor decorator uses function name as default ID.""" @executor - async def my_function(data: dict, ctx: WorkflowContext[Any]) -> None: + async def my_function(data: dict[str, Any], ctx: WorkflowContext[Any]) -> None: await ctx.send_message(data) assert my_function.id == "my_function" @@ -92,7 +92,7 @@ class TestFunctionExecutor: assert isinstance(no_parens_function, FunctionExecutor) assert no_parens_function.id == "no_parens_function" - assert str in no_parens_function._handlers + assert str in no_parens_function._handlers # pyright: ignore[reportPrivateUsage] # Also test with single parameter function @executor @@ -101,7 +101,7 @@ class TestFunctionExecutor: assert isinstance(simple_no_parens, FunctionExecutor) assert simple_no_parens.id == "simple_no_parens" - assert int in simple_no_parens._handlers + assert int in simple_no_parens._handlers # pyright: ignore[reportPrivateUsage] def test_union_output_types(self): """Test that union output types are properly inferred for both messages and workflow outputs.""" @@ -113,7 +113,7 @@ class TestFunctionExecutor: else: await ctx.send_message(text.upper()) - spec = multi_output._handler_specs[0] + spec = multi_output._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert set(spec["output_types"]) == {str, int} assert spec["workflow_output_types"] == [] # No workflow outputs defined @@ -127,7 +127,7 @@ class TestFunctionExecutor: else: await ctx.yield_output(data.upper()) - workflow_spec = multi_workflow_output._handler_specs[0] + workflow_spec = multi_workflow_output._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert workflow_spec["output_types"] == [] # None means no message outputs assert set(workflow_spec["workflow_output_types"]) == {str, int, bool} @@ -139,7 +139,7 @@ class TestFunctionExecutor: # This executor doesn't send any messages pass - spec = no_output._handler_specs[0] + spec = no_output._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["output_types"] == [] assert spec["workflow_output_types"] == [] # No workflow outputs defined @@ -150,7 +150,7 @@ class TestFunctionExecutor: async def any_output(data: str, ctx: WorkflowContext[Any]) -> None: await ctx.send_message("result") - spec = any_output._handler_specs[0] + spec = any_output._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["output_types"] == [Any] assert spec["workflow_output_types"] == [] # No workflow outputs defined @@ -160,7 +160,7 @@ class TestFunctionExecutor: await ctx.send_message("message") await ctx.yield_output("workflow_output") - both_spec = any_both_output._handler_specs[0] + both_spec = any_both_output._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert both_spec["output_types"] == [Any] assert both_spec["workflow_output_types"] == [Any] @@ -228,11 +228,11 @@ class TestFunctionExecutor: await ctx.yield_output(result) # Verify type inference for both executors - upper_spec = to_upper._handler_specs[0] + upper_spec = to_upper._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert upper_spec["output_types"] == [str] assert upper_spec["workflow_output_types"] == [] # No workflow outputs - reverse_spec = reverse_text._handler_specs[0] + reverse_spec = reverse_text._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert reverse_spec["output_types"] == [Any] # First parameter is Any assert reverse_spec["workflow_output_types"] == [str] # Second parameter is str @@ -270,7 +270,7 @@ class TestFunctionExecutor: await ctx.send_message(message) with pytest.raises(ValueError, match="Handler for type .* already registered"): - func_exec._register_instance_handler( + func_exec._register_instance_handler( # pyright: ignore[reportPrivateUsage] name="second", func=second_handler, message_type=str, @@ -287,7 +287,7 @@ class TestFunctionExecutor: result = {item: len(item) for item in items} await ctx.send_message(result) - spec = process_list._handler_specs[0] + spec = process_list._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] == list[str] assert spec["output_types"] == [dict[str, int]] @@ -300,10 +300,10 @@ class TestFunctionExecutor: assert isinstance(process_simple, FunctionExecutor) assert process_simple.id == "simple_processor" - assert str in process_simple._handlers + assert str in process_simple._handlers # pyright: ignore[reportPrivateUsage] # Check spec - single parameter functions have no output types since they can't send messages - spec = process_simple._handler_specs[0] + spec = process_simple._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is str assert spec["output_types"] == [] assert spec["ctx_annotation"] is None @@ -316,7 +316,7 @@ class TestFunctionExecutor: return data * 2 func_exec = FunctionExecutor(valid_single) - assert int in func_exec._handlers + assert int in func_exec._handlers # pyright: ignore[reportPrivateUsage] # Single parameter with missing type annotation should still fail async def no_annotation(data): # type: ignore @@ -349,7 +349,7 @@ class TestFunctionExecutor: # For testing purposes, we can check that the handler is registered correctly assert double_value.can_handle(WorkflowMessage(data=5, source_id="mock")) - assert int in double_value._handlers + assert int in double_value._handlers # pyright: ignore[reportPrivateUsage] def test_sync_function_basic(self): """Test basic synchronous function support.""" @@ -360,10 +360,10 @@ class TestFunctionExecutor: assert isinstance(process_sync, FunctionExecutor) assert process_sync.id == "sync_processor" - assert str in process_sync._handlers + assert str in process_sync._handlers # pyright: ignore[reportPrivateUsage] # Check spec - sync single parameter functions have no output types - spec = process_sync._handler_specs[0] + spec = process_sync._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is str assert spec["output_types"] == [] assert spec["ctx_annotation"] is None @@ -378,10 +378,10 @@ class TestFunctionExecutor: assert isinstance(sync_with_ctx, FunctionExecutor) assert sync_with_ctx.id == "sync_with_ctx" - assert int in sync_with_ctx._handlers + assert int in sync_with_ctx._handlers # pyright: ignore[reportPrivateUsage] # Check spec - sync functions with context can infer output types - spec = sync_with_ctx._handler_specs[0] + spec = sync_with_ctx._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is int assert spec["output_types"] == [int] @@ -404,18 +404,18 @@ class TestFunctionExecutor: return data.upper() func_exec = FunctionExecutor(valid_sync) - assert str in func_exec._handlers + assert str in func_exec._handlers # pyright: ignore[reportPrivateUsage] # Valid sync function with two parameters def valid_sync_with_ctx(data: int, ctx: WorkflowContext[str]): return str(data) func_exec2 = FunctionExecutor(valid_sync_with_ctx) - assert int in func_exec2._handlers + assert int in func_exec2._handlers # pyright: ignore[reportPrivateUsage] # Sync function with missing type annotation should still fail - def no_annotation(data): # type: ignore - return data + def no_annotation(data): # type: ignore # pyright: ignore[reportUnknownVariableType] + return data # pyright: ignore[reportUnknownVariableType] with pytest.raises(ValueError, match="type annotation for the message"): FunctionExecutor(no_annotation) # type: ignore @@ -457,11 +457,11 @@ class TestFunctionExecutor: await ctx.yield_output(result) # Verify type inference for sync and async functions - sync_spec = to_upper_sync._handler_specs[0] + sync_spec = to_upper_sync._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert sync_spec["output_types"] == [str] assert sync_spec["workflow_output_types"] == [] # No workflow outputs - async_spec = reverse_async._handler_specs[0] + async_spec = reverse_async._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert async_spec["output_types"] == [Any] # First parameter is Any assert async_spec["workflow_output_types"] == [str] # Second parameter is str @@ -471,8 +471,8 @@ class TestFunctionExecutor: # For integration testing, we mainly verify that the handlers are properly registered # and the functions are wrapped correctly - assert str in to_upper_sync._handlers - assert str in reverse_async._handlers + assert str in to_upper_sync._handlers # pyright: ignore[reportPrivateUsage] + assert str in reverse_async._handlers # pyright: ignore[reportPrivateUsage] async def test_sync_function_thread_execution(self): """Test that sync functions run in thread pool and don't block the event loop.""" @@ -491,13 +491,13 @@ class TestFunctionExecutor: return data.upper() # Verify the function is wrapped and registered - assert str in blocking_function._handlers + assert str in blocking_function._handlers # pyright: ignore[reportPrivateUsage] # For a more complete test, we'd need to create a full workflow context, # but for now we can verify that the function was properly wrapped # and that sync functions store the correct metadata - assert not blocking_function._is_async - assert not blocking_function._has_context + assert not blocking_function._is_async # pyright: ignore[reportPrivateUsage] + assert not blocking_function._has_context # pyright: ignore[reportPrivateUsage] # The actual thread execution test would require a full workflow setup, # but the important thing is that asyncio.to_thread is used in the wrapper @@ -506,7 +506,7 @@ class TestFunctionExecutor: """Test that @executor decorator properly rejects @staticmethod with clear error.""" with pytest.raises(ValueError) as exc_info: - class Example: + class Example: # pyright: ignore[reportUnusedClass] @executor @staticmethod async def bad_handler(data: str) -> str: @@ -519,7 +519,7 @@ class TestFunctionExecutor: """Test that @executor decorator properly rejects @classmethod with clear error.""" with pytest.raises(ValueError) as exc_info: - class Example: + class Example: # pyright: ignore[reportUnusedClass] @executor @classmethod async def bad_handler(cls, data: str) -> str: @@ -570,8 +570,8 @@ class TestExecutorExplicitTypes: pass # Handler should be registered for str (explicit) - assert str in process._handlers - assert len(process._handlers) == 1 + assert str in process._handlers # pyright: ignore[reportPrivateUsage] + assert len(process._handlers) == 1 # pyright: ignore[reportPrivateUsage] # Can handle str messages assert process.can_handle(WorkflowMessage(data="hello", source_id="mock")) @@ -586,7 +586,7 @@ class TestExecutorExplicitTypes: pass # Handler spec should have int as output type (explicit), not str (introspected) - spec = process._handler_specs[0] + spec = process._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["output_types"] == [int] # Executor output_types property should reflect explicit type @@ -601,11 +601,11 @@ class TestExecutorExplicitTypes: pass # Handler should be registered for dict (explicit input type) - assert dict in process._handlers - assert len(process._handlers) == 1 + assert dict in process._handlers # pyright: ignore[reportPrivateUsage] + assert len(process._handlers) == 1 # pyright: ignore[reportPrivateUsage] # Output type should be list (explicit) - spec = process._handler_specs[0] + spec = process._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["output_types"] == [list] # Verify can_handle @@ -620,7 +620,7 @@ class TestExecutorExplicitTypes: pass # Handler should be registered for the union type - assert len(process._handlers) == 1 + assert len(process._handlers) == 1 # pyright: ignore[reportPrivateUsage] # Can handle both str and int messages assert process.can_handle(WorkflowMessage(data="hello", source_id="mock")) @@ -648,8 +648,8 @@ class TestExecutorExplicitTypes: pass # Should use explicit input type (bytes), not introspected (str) - assert bytes in process._handlers - assert str not in process._handlers + assert bytes in process._handlers # pyright: ignore[reportPrivateUsage] + assert str not in process._handlers # pyright: ignore[reportPrivateUsage] # Should use explicit output type (float), not introspected (int) assert float in process.output_types @@ -663,7 +663,7 @@ class TestExecutorExplicitTypes: pass # Should use introspected types - assert str in process._handlers + assert str in process._handlers # pyright: ignore[reportPrivateUsage] assert int in process.output_types def test_executor_partial_explicit_types(self): @@ -674,7 +674,7 @@ class TestExecutorExplicitTypes: async def process_input(message: str, ctx: WorkflowContext[int]) -> None: pass - assert bytes in process_input._handlers # Explicit + assert bytes in process_input._handlers # Explicit # pyright: ignore[reportPrivateUsage] assert int in process_input.output_types # Introspected # Only explicit output_type, introspect input_type @@ -682,7 +682,7 @@ class TestExecutorExplicitTypes: async def process_output(message: str, ctx: WorkflowContext[int]) -> None: pass - assert str in process_output._handlers # Introspected + assert str in process_output._handlers # Introspected # pyright: ignore[reportPrivateUsage] assert float in process_output.output_types # Explicit assert int not in process_output.output_types # Not introspected when explicit provided @@ -694,7 +694,7 @@ class TestExecutorExplicitTypes: pass # Should work with explicit input_type - assert str in process._handlers + assert str in process._handlers # pyright: ignore[reportPrivateUsage] assert process.can_handle(WorkflowMessage(data="hello", source_id="mock")) def test_executor_explicit_types_with_id(self): @@ -705,7 +705,7 @@ class TestExecutorExplicitTypes: pass assert process.id == "custom_id" - assert bytes in process._handlers + assert bytes in process._handlers # pyright: ignore[reportPrivateUsage] assert int in process.output_types def test_executor_explicit_types_with_single_param_function(self): @@ -713,10 +713,10 @@ class TestExecutorExplicitTypes: @executor(input=str) async def process(message): # type: ignore[no-untyped-def] - return message.upper() + return message.upper() # pyright: ignore[reportUnknownMemberType, reportUnknownVariableType] # Should work with explicit input_type - assert str in process._handlers + assert str in process._handlers # pyright: ignore[reportPrivateUsage] assert process.can_handle(WorkflowMessage(data="hello", source_id="mock")) assert not process.can_handle(WorkflowMessage(data=42, source_id="mock")) @@ -727,7 +727,7 @@ class TestExecutorExplicitTypes: def process(message, ctx: WorkflowContext) -> None: # type: ignore[no-untyped-def] pass - assert int in process._handlers + assert int in process._handlers # pyright: ignore[reportPrivateUsage] assert str in process.output_types def test_function_executor_constructor_with_explicit_types(self): @@ -736,10 +736,10 @@ class TestExecutorExplicitTypes: async def process(message, ctx: WorkflowContext) -> None: # type: ignore[no-untyped-def] pass - func_exec = FunctionExecutor(process, id="test", input=dict, output=list) + func_exec = FunctionExecutor(process, id="test", input=dict, output=list) # pyright: ignore[reportUnknownArgumentType] - assert dict in func_exec._handlers - spec = func_exec._handler_specs[0] + assert dict in func_exec._handlers # pyright: ignore[reportPrivateUsage] + spec = func_exec._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is dict assert spec["output_types"] == [list] @@ -766,7 +766,7 @@ class TestExecutorExplicitTypes: pass # Should resolve the string to the actual type - assert FuncExecForwardRefMessage in process._handlers + assert FuncExecForwardRefMessage in process._handlers # pyright: ignore[reportPrivateUsage] assert process.can_handle(WorkflowMessage(data=FuncExecForwardRefMessage("hello"), source_id="mock")) def test_executor_with_string_forward_reference_union(self): @@ -798,7 +798,7 @@ class TestExecutorExplicitTypes: pass # Handler spec should have bool as workflow_output_type (explicit) - spec = process._handler_specs[0] + spec = process._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["workflow_output_types"] == [bool] # Executor workflow_output_types property should reflect explicit type @@ -826,7 +826,7 @@ class TestExecutorExplicitTypes: pass # Check input type - assert str in process._handlers + assert str in process._handlers # pyright: ignore[reportPrivateUsage] assert process.can_handle(WorkflowMessage(data="hello", source_id="mock")) # Check output_type @@ -892,6 +892,6 @@ class TestExecutorExplicitTypes: workflow_output=bool, ) - assert str in exec_instance._handlers + assert str in exec_instance._handlers # pyright: ignore[reportPrivateUsage] assert int in exec_instance.output_types assert bool in exec_instance.workflow_output_types diff --git a/python/packages/core/tests/workflow/test_function_executor_future.py b/python/packages/core/tests/workflow/test_function_executor_future.py index a4a15aeba0..6d1ed32348 100644 --- a/python/packages/core/tests/workflow/test_function_executor_future.py +++ b/python/packages/core/tests/workflow/test_function_executor_future.py @@ -19,10 +19,10 @@ class TestFunctionExecutorFutureAnnotations: assert isinstance(process_future, FunctionExecutor) assert process_future.id == "future_test" - assert int in process_future._handlers + assert int in process_future._handlers # pyright: ignore[reportPrivateUsage] # Check spec - spec = process_future._handler_specs[0] + spec = process_future._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] is int assert spec["output_types"] == [int] @@ -34,6 +34,6 @@ class TestFunctionExecutorFutureAnnotations: await ctx.send_message(["done"]) assert isinstance(process_complex, FunctionExecutor) - spec = process_complex._handler_specs[0] + spec = process_complex._handler_specs[0] # pyright: ignore[reportPrivateUsage] assert spec["message_type"] == dict[str, Any] assert spec["output_types"] == [list[str]] diff --git a/python/packages/core/tests/workflow/test_request_info_mixin.py b/python/packages/core/tests/workflow/test_request_info_mixin.py index 4c3d6560aa..cfde71b481 100644 --- a/python/packages/core/tests/workflow/test_request_info_mixin.py +++ b/python/packages/core/tests/workflow/test_request_info_mixin.py @@ -794,7 +794,7 @@ class TestResponseHandlerExplicitTypes: """Test response_handler with explicit request and response types.""" @response_handler(request=str, response=int) - async def test_handler(self, original_request, response, ctx) -> None: + async def test_handler(self: Any, original_request: Any, response: Any, ctx: WorkflowContext) -> None: pass spec = test_handler._response_handler_spec # type: ignore[reportAttributeAccessIssue] @@ -806,7 +806,7 @@ class TestResponseHandlerExplicitTypes: """Test response_handler with explicit output and workflow_output types.""" @response_handler(request=str, response=int, output=bool, workflow_output=float) - async def test_handler(self, original_request, response, ctx) -> None: + async def test_handler(self: Any, original_request: Any, response: Any, ctx: WorkflowContext) -> None: pass spec = test_handler._response_handler_spec # type: ignore[reportAttributeAccessIssue] @@ -818,8 +818,8 @@ class TestResponseHandlerExplicitTypes: def test_response_handler_with_union_types(self): """Test response_handler with union types.""" - @response_handler(request=str | int, response=bool | float) - async def test_handler(self, original_request, response, ctx) -> None: + @response_handler(request=str | int, response=bool | float) # pyright: ignore[reportArgumentType] + async def test_handler(self: Any, original_request: Any, response: Any, ctx: WorkflowContext) -> None: pass spec = test_handler._response_handler_spec # type: ignore[reportAttributeAccessIssue] @@ -830,7 +830,7 @@ class TestResponseHandlerExplicitTypes: """Test response_handler with string forward references.""" @response_handler(request="str", response="int") - async def test_handler(self, original_request, response, ctx) -> None: + async def test_handler(self: Any, original_request: Any, response: Any, ctx: WorkflowContext) -> None: pass spec = test_handler._response_handler_spec # type: ignore[reportAttributeAccessIssue] @@ -842,7 +842,7 @@ class TestResponseHandlerExplicitTypes: with pytest.raises(ValueError, match="must specify 'request' type"): @response_handler(response=int) - async def test_handler(self, original_request, response, ctx) -> None: + async def test_handler(self: Any, original_request: Any, response: Any, ctx: WorkflowContext) -> None: # pyright: ignore[reportUnusedFunction] pass def test_response_handler_explicit_missing_response_raises_error(self): @@ -850,7 +850,7 @@ class TestResponseHandlerExplicitTypes: with pytest.raises(ValueError, match="must specify 'response' type"): @response_handler(request=str) - async def test_handler(self, original_request, response, ctx) -> None: + async def test_handler(self: Any, original_request: Any, response: Any, ctx: WorkflowContext) -> None: # pyright: ignore[reportUnusedFunction] pass def test_response_handler_explicit_only_output_raises_error(self): @@ -858,7 +858,7 @@ class TestResponseHandlerExplicitTypes: with pytest.raises(ValueError, match="must specify 'request' type"): @response_handler(output=bool) - async def test_handler(self, original_request, response, ctx) -> None: + async def test_handler(self: Any, original_request: Any, response: Any, ctx: WorkflowContext) -> None: # pyright: ignore[reportUnusedFunction] pass def test_executor_with_explicit_response_handlers(self): @@ -873,7 +873,7 @@ class TestResponseHandlerExplicitTypes: pass @response_handler(request=str, response=int, output=bool) - async def handle_explicit(self, original_request, response, ctx) -> None: + async def handle_explicit(self, original_request: Any, response: Any, ctx: WorkflowContext) -> None: pass executor = TestExecutor() @@ -907,7 +907,7 @@ class TestResponseHandlerExplicitTypes: pass @response_handler(request=str, response=int) - async def handle_response(self, original_request, response, ctx) -> None: + async def handle_response(self, original_request: Any, response: Any, ctx: WorkflowContext) -> None: self.handled_request = original_request self.handled_response = response @@ -942,7 +942,7 @@ class TestResponseHandlerExplicitTypes: # Explicit type handler @response_handler(request=dict, response=bool) - async def handle_explicit(self, original_request, response, ctx) -> None: + async def handle_explicit(self, original_request: Any, response: Any, ctx: WorkflowContext) -> None: pass executor = TestExecutor() diff --git a/python/packages/core/tests/workflow/test_runner.py b/python/packages/core/tests/workflow/test_runner.py index eaf69f90b0..db6dccd9fa 100644 --- a/python/packages/core/tests/workflow/test_runner.py +++ b/python/packages/core/tests/workflow/test_runner.py @@ -2,6 +2,7 @@ import asyncio from dataclasses import dataclass +from typing import Any from unittest.mock import AsyncMock, MagicMock import pytest @@ -113,7 +114,7 @@ async def test_runner_run_until_convergence(): assert result is not None and result == 10 # iteration count shouldn't be reset after convergence - assert runner._iteration == 10 # type: ignore + assert runner._iteration == 10 # pyright: ignore[reportPrivateUsage] async def test_runner_run_until_convergence_not_completed(): @@ -173,7 +174,7 @@ async def test_runner_run_iteration_preserves_message_order_per_edge_runner() -> for index in range(5): await ctx.send_message(WorkflowMessage(data=MockMessage(data=index), source_id="source")) - await runner._run_iteration() + await runner._run_iteration() # pyright: ignore[reportPrivateUsage] assert edge_runner.received == [0, 1, 2, 3, 4] @@ -213,7 +214,7 @@ async def test_runner_run_iteration_delivers_different_edge_runners_concurrently await ctx.send_message(WorkflowMessage(data=MockMessage(data=1), source_id="source")) - iteration_task = asyncio.create_task(runner._run_iteration()) + iteration_task = asyncio.create_task(runner._run_iteration()) # pyright: ignore[reportPrivateUsage] await blocking_edge_runner.started.wait() await asyncio.wait_for(probe_edge_runner.probe_completed.wait(), timeout=2.0) @@ -280,7 +281,7 @@ async def test_fanout_edge_runner_delivers_to_multiple_targets_concurrently() -> # Queue a message from source (will be delivered to both targets via FanOut) await ctx.send_message(WorkflowMessage(data=MockMessage(data=1), source_id=source.id)) - iteration_task = asyncio.create_task(runner._run_iteration()) + iteration_task = asyncio.create_task(runner._run_iteration()) # pyright: ignore[reportPrivateUsage] # Wait for the blocking executor to start await blocking_target.started.wait() @@ -477,11 +478,11 @@ async def test_runner_reset_iteration_count(): ctx = InProcRunnerContext() runner = Runner([], {executor_a.id: executor_a}, state, ctx, "test_name", graph_signature_hash="test_hash") - runner._iteration = 10 + runner._iteration = 10 # pyright: ignore[reportPrivateUsage] runner.reset_iteration_count() - assert runner._iteration == 0 + assert runner._iteration == 0 # pyright: ignore[reportPrivateUsage] class CheckpointingContext(InProcRunnerContext): @@ -501,18 +502,19 @@ class CheckpointingContext(InProcRunnerContext): graph_signature_hash: str, state: State, previous_checkpoint_id: str | None, - iteration: int, + iteration_count: int, + metadata: dict[str, Any] | None = None, ) -> str: checkpoint = WorkflowCheckpoint( workflow_name=workflow_name, graph_signature_hash=graph_signature_hash, - state=state.export(), + state=state.export_state(), previous_checkpoint_id=previous_checkpoint_id, - iteration_count=iteration, + iteration_count=iteration_count, ) return await self._storage.save(checkpoint) - async def load_checkpoint(self, checkpoint_id: str) -> WorkflowCheckpoint | None: + async def load_checkpoint(self, checkpoint_id: str) -> WorkflowCheckpoint | None: # pyright: ignore[reportIncompatibleMethodOverride] try: return await self._storage.load(checkpoint_id) except WorkflowCheckpointException: @@ -537,7 +539,8 @@ class FailingCheckpointContext(InProcRunnerContext): graph_signature_hash: str, state: State, previous_checkpoint_id: str | None, - iteration: int, + iteration_count: int, + metadata: dict[str, Any] | None = None, ) -> str: raise RuntimeError("Simulated checkpoint failure") @@ -609,8 +612,8 @@ async def test_runner_restore_from_checkpoint_with_external_storage(): # Restore using external storage await runner.restore_from_checkpoint(checkpoint_id, checkpoint_storage=storage) - assert runner._resumed_from_checkpoint is True - assert runner._iteration == 5 + assert runner._resumed_from_checkpoint is True # pyright: ignore[reportPrivateUsage] + assert runner._iteration == 5 # pyright: ignore[reportPrivateUsage] assert state.get("test_key") == "test_value" @@ -684,7 +687,7 @@ async def test_runner_restore_executor_states_invalid_states_type(): runner = Runner([], {executor_a.id: executor_a}, state, ctx, "test_name", graph_signature_hash="test_hash") with pytest.raises(WorkflowCheckpointException, match="not a dictionary"): - await runner._restore_executor_states() + await runner._restore_executor_states() # pyright: ignore[reportPrivateUsage] async def test_runner_restore_executor_states_invalid_executor_id_type(): @@ -698,7 +701,7 @@ async def test_runner_restore_executor_states_invalid_executor_id_type(): runner = Runner([], {executor_a.id: executor_a}, state, ctx, "test_name", graph_signature_hash="test_hash") with pytest.raises(WorkflowCheckpointException, match="not a string"): - await runner._restore_executor_states() + await runner._restore_executor_states() # pyright: ignore[reportPrivateUsage] async def test_runner_restore_executor_states_invalid_state_type(): @@ -712,7 +715,7 @@ async def test_runner_restore_executor_states_invalid_state_type(): runner = Runner([], {executor_a.id: executor_a}, state, ctx, "test_name", graph_signature_hash="test_hash") with pytest.raises(WorkflowCheckpointException, match="not a dict"): - await runner._restore_executor_states() + await runner._restore_executor_states() # pyright: ignore[reportPrivateUsage] async def test_runner_restore_executor_states_invalid_state_keys(): @@ -726,7 +729,7 @@ async def test_runner_restore_executor_states_invalid_state_keys(): runner = Runner([], {executor_a.id: executor_a}, state, ctx, "test_name", graph_signature_hash="test_hash") with pytest.raises(WorkflowCheckpointException, match="not a dict"): - await runner._restore_executor_states() + await runner._restore_executor_states() # pyright: ignore[reportPrivateUsage] async def test_runner_restore_executor_states_missing_executor(): @@ -739,7 +742,7 @@ async def test_runner_restore_executor_states_missing_executor(): runner = Runner([], {}, state, ctx, "test_name", graph_signature_hash="test_hash") with pytest.raises(WorkflowCheckpointException, match="not found during state restoration"): - await runner._restore_executor_states() + await runner._restore_executor_states() # pyright: ignore[reportPrivateUsage] async def test_runner_set_executor_state_invalid_existing_states(): @@ -752,7 +755,7 @@ async def test_runner_set_executor_state_invalid_existing_states(): runner = Runner([], {executor_a.id: executor_a}, state, ctx, "test_name", graph_signature_hash="test_hash") with pytest.raises(WorkflowCheckpointException, match="not a dictionary"): - await runner._set_executor_state("executor_a", {"key": "value"}) + await runner._set_executor_state("executor_a", {"key": "value"}) # pyright: ignore[reportPrivateUsage] async def test_runner_with_pre_loop_events(): @@ -779,7 +782,7 @@ class EventEmittingExecutor(Executor): """An executor that emits events during execution.""" @handler - async def handle(self, message: MockMessage, ctx: WorkflowContext[MockMessage, int]) -> None: + async def handle(self, message: MockMessage, ctx: WorkflowContext[MockMessage, str]) -> None: # Emit event during processing await ctx.yield_output(f"processed-{message.data}") if message.data < 3: @@ -831,7 +834,7 @@ async def test_runner_restore_executor_states_no_states(): runner = Runner([], {executor_a.id: executor_a}, state, ctx, "test_name", graph_signature_hash="test_hash") # Should complete without error when no executor states exist - await runner._restore_executor_states() + await runner._restore_executor_states() # pyright: ignore[reportPrivateUsage] async def test_runner_checkpoint_with_resumed_flag(): @@ -853,7 +856,7 @@ async def test_runner_checkpoint_with_resumed_flag(): state = State() runner = Runner(edges, executors, state, ctx, "test_name", graph_signature_hash="test_hash") - runner._mark_resumed(5) + runner._mark_resumed(5) # pyright: ignore[reportPrivateUsage] # Add a message to trigger the checkpoint creation path await ctx.send_message(WorkflowMessage(data=MockMessage(data=8), source_id="START")) @@ -870,7 +873,7 @@ async def test_runner_checkpoint_with_resumed_flag(): pass # After completing, resumed flag should be reset - assert runner._resumed_from_checkpoint is False + assert runner._resumed_from_checkpoint is False # pyright: ignore[reportPrivateUsage] class ExecutorThatFailsWithEvents(Executor): @@ -883,7 +886,7 @@ class ExecutorThatFailsWithEvents(Executor): self._iteration_count = 0 @handler - async def handle(self, message: MockMessage, ctx: WorkflowContext[MockMessage, int]) -> None: + async def handle(self, message: MockMessage, ctx: WorkflowContext[MockMessage, str]) -> None: self._iteration_count += 1 # First emit an output event to the workflow context await ctx.yield_output(f"output-before-failure-{message.data}") @@ -951,7 +954,7 @@ class SlowEventEmittingExecutor(Executor): self.current_iteration = 0 @handler - async def handle(self, message: MockMessage, ctx: WorkflowContext[MockMessage, int]) -> None: + async def handle(self, message: MockMessage, ctx: WorkflowContext[MockMessage, str]) -> None: self.current_iteration += 1 # Emit output event await ctx.yield_output(f"iteration-{self.current_iteration}") diff --git a/python/packages/core/tests/workflow/test_state.py b/python/packages/core/tests/workflow/test_state.py index 486fc9fa25..7781eb4141 100644 --- a/python/packages/core/tests/workflow/test_state.py +++ b/python/packages/core/tests/workflow/test_state.py @@ -61,9 +61,9 @@ class TestSuperstepCaching: state.set("key", "value") # Value is in pending - assert "key" in state._pending + assert "key" in state._pending # pyright: ignore[reportPrivateUsage] # Value is NOT in committed - assert "key" not in state._committed + assert "key" not in state._committed # pyright: ignore[reportPrivateUsage] # But get() still returns it assert state.get("key") == "value" @@ -72,14 +72,14 @@ class TestSuperstepCaching: state.set("key", "value") # Before commit: in pending, not committed - assert "key" in state._pending - assert "key" not in state._committed + assert "key" in state._pending # pyright: ignore[reportPrivateUsage] + assert "key" not in state._committed # pyright: ignore[reportPrivateUsage] state.commit() # After commit: in committed, pending cleared - assert "key" not in state._pending - assert "key" in state._committed + assert "key" not in state._pending # pyright: ignore[reportPrivateUsage] + assert "key" in state._committed # pyright: ignore[reportPrivateUsage] assert state.get("key") == "value" def test_discard_clears_pending_without_committing(self) -> None: @@ -108,7 +108,7 @@ class TestSuperstepCaching: # get() returns pending value, not committed assert state.get("key") == "pending_value" # But committed still has old value - assert state._committed["key"] == "committed_value" + assert state._committed["key"] == "committed_value" # pyright: ignore[reportPrivateUsage] def test_multiple_sets_before_commit(self) -> None: state = State() @@ -130,13 +130,13 @@ class TestDeleteWithSuperstepCaching: state = State() state.set("key", "value") # Key only in pending, not committed - assert "key" in state._pending - assert "key" not in state._committed + assert "key" in state._pending # pyright: ignore[reportPrivateUsage] + assert "key" not in state._committed # pyright: ignore[reportPrivateUsage] state.delete("key") # Should be removed from pending - assert "key" not in state._pending + assert "key" not in state._pending # pyright: ignore[reportPrivateUsage] assert state.get("key") is None assert state.has("key") is False @@ -148,14 +148,14 @@ class TestDeleteWithSuperstepCaching: state.delete("key") # Key should be marked for deletion in pending (sentinel) - assert "key" in state._pending + assert "key" in state._pending # pyright: ignore[reportPrivateUsage] # get() should return default (not the sentinel!) assert state.get("key") is None assert state.get("key", "default") == "default" # has() should return False assert state.has("key") is False # But committed still has it until commit() - assert "key" in state._committed + assert "key" in state._committed # pyright: ignore[reportPrivateUsage] def test_delete_committed_key_removed_on_commit(self) -> None: state = State() @@ -166,8 +166,8 @@ class TestDeleteWithSuperstepCaching: state.commit() # Now it should be gone from committed too - assert "key" not in state._committed - assert "key" not in state._pending + assert "key" not in state._committed # pyright: ignore[reportPrivateUsage] + assert "key" not in state._pending # pyright: ignore[reportPrivateUsage] def test_delete_key_in_both_pending_and_committed(self) -> None: """Test delete when key exists in both pending (modified) and committed.""" @@ -177,8 +177,8 @@ class TestDeleteWithSuperstepCaching: # Modify the key (now in both pending and committed) state.set("key", "modified") - assert state._pending["key"] == "modified" - assert state._committed["key"] == "original" + assert state._pending["key"] == "modified" # pyright: ignore[reportPrivateUsage] + assert state._committed["key"] == "original" # pyright: ignore[reportPrivateUsage] # Delete should mark for deletion from committed state.delete("key") @@ -189,8 +189,8 @@ class TestDeleteWithSuperstepCaching: # After commit, key should be fully removed state.commit() - assert "key" not in state._committed - assert "key" not in state._pending + assert "key" not in state._committed # pyright: ignore[reportPrivateUsage] + assert "key" not in state._pending # pyright: ignore[reportPrivateUsage] def test_discard_after_delete_restores_committed_value(self) -> None: state = State() @@ -238,12 +238,12 @@ class TestFailureScenarios: state.set("key3", "value3") # Before commit - nothing in committed - assert len(state._committed) == 0 + assert len(state._committed) == 0 # pyright: ignore[reportPrivateUsage] state.commit() # After commit - all three values committed together - assert state._committed == {"key1": "value1", "key2": "value2", "key3": "value3"} + assert state._committed == {"key1": "value1", "key2": "value2", "key3": "value3"} # pyright: ignore[reportPrivateUsage] def test_repeated_supersteps_are_isolated(self) -> None: """Test that each superstep's changes are isolated until committed.""" @@ -300,4 +300,4 @@ class TestExportImport: # Pending is still there assert state.get("pending_key") == "pending_value" - assert "pending_key" in state._pending + assert "pending_key" in state._pending # pyright: ignore[reportPrivateUsage] diff --git a/python/packages/core/tests/workflow/test_typing_utils.py b/python/packages/core/tests/workflow/test_typing_utils.py index 4dc8d8c917..f94bd9d52e 100644 --- a/python/packages/core/tests/workflow/test_typing_utils.py +++ b/python/packages/core/tests/workflow/test_typing_utils.py @@ -36,32 +36,32 @@ def test_normalize_type_to_list_none() -> None: def test_normalize_type_to_list_union_pipe_syntax() -> None: """Test normalize_type_to_list with union types using | syntax.""" - result = normalize_type_to_list(str | int) + result = normalize_type_to_list(str | int) # pyright: ignore[reportArgumentType] assert set(result) == {str, int} - result = normalize_type_to_list(str | int | bool) + result = normalize_type_to_list(str | int | bool) # pyright: ignore[reportArgumentType] assert set(result) == {str, int, bool} def test_normalize_type_to_list_union_typing_syntax() -> None: """Test normalize_type_to_list with Union[] from typing module.""" - result = normalize_type_to_list(Union[str, int]) + result = normalize_type_to_list(Union[str, int]) # pyright: ignore[reportArgumentType] assert set(result) == {str, int} - result = normalize_type_to_list(Union[str, int, bool]) + result = normalize_type_to_list(Union[str, int, bool]) # pyright: ignore[reportArgumentType] assert set(result) == {str, int, bool} def test_normalize_type_to_list_optional() -> None: """Test normalize_type_to_list with Optional types (Union[T, None]).""" # Optional[str] is Union[str, None] - result = normalize_type_to_list(Optional[str]) + result = normalize_type_to_list(Optional[str]) # pyright: ignore[reportArgumentType] assert str in result assert type(None) in result assert len(result) == 2 # str | None is equivalent - result = normalize_type_to_list(str | None) + result = normalize_type_to_list(str | None) # pyright: ignore[reportArgumentType] assert str in result assert type(None) in result assert len(result) == 2 @@ -77,7 +77,7 @@ def test_normalize_type_to_list_custom_types() -> None: result = normalize_type_to_list(CustomMessage) assert result == [CustomMessage] - result = normalize_type_to_list(CustomMessage | str) + result = normalize_type_to_list(CustomMessage | str) # pyright: ignore[reportArgumentType] assert set(result) == {CustomMessage, str} @@ -96,7 +96,7 @@ def test_resolve_type_annotation_actual_types() -> None: """Test resolve_type_annotation passes through actual types unchanged.""" assert resolve_type_annotation(str) is str assert resolve_type_annotation(int) is int - assert resolve_type_annotation(str | int) == str | int + assert resolve_type_annotation(str | int) == str | int # pyright: ignore[reportArgumentType] def test_resolve_type_annotation_string_builtin() -> None: diff --git a/python/packages/core/tests/workflow/test_validation.py b/python/packages/core/tests/workflow/test_validation.py index ae694c8354..be3c8b45f7 100644 --- a/python/packages/core/tests/workflow/test_validation.py +++ b/python/packages/core/tests/workflow/test_validation.py @@ -484,8 +484,8 @@ def test_handler_ctx_missing_annotation_raises() -> None: # Validation now happens at handler registration time, not workflow build time with pytest.raises(ValueError) as exc: - class BadExecutor(Executor): - @handler + class BadExecutor(Executor): # pyright: ignore[reportUnusedClass] + @handler # pyright: ignore[reportUnknownArgumentType] async def handle(self, message: str, ctx) -> None: # type: ignore[no-untyped-def] pass @@ -496,8 +496,8 @@ def test_handler_ctx_invalid_t_out_entries_raises() -> None: # Validation now happens at handler registration time, not workflow build time with pytest.raises(ValueError) as exc: - class BadExecutor(Executor): - @handler + class BadExecutor(Executor): # pyright: ignore[reportUnusedClass] + @handler # pyright: ignore[reportUnknownArgumentType] async def handle(self, message: str, ctx: WorkflowContext[123]) -> None: # type: ignore[valid-type] pass @@ -555,7 +555,7 @@ def test_output_validation_with_valid_output_executors(): ) assert workflow is not None - assert workflow._output_executors == ["executor2"] + assert workflow._output_executors == ["executor2"] # pyright: ignore[reportPrivateUsage] def test_output_validation_with_multiple_valid_output_executors(): @@ -572,7 +572,7 @@ def test_output_validation_with_multiple_valid_output_executors(): ) assert workflow is not None - assert set(workflow._output_executors) == {"executor1", "executor3"} + assert set(workflow._output_executors) == {"executor1", "executor3"} # pyright: ignore[reportPrivateUsage] def test_output_validation_fails_for_nonexistent_executor(): diff --git a/python/packages/core/tests/workflow/test_viz.py b/python/packages/core/tests/workflow/test_viz.py index bf7bbffee1..5573dadd61 100644 --- a/python/packages/core/tests/workflow/test_viz.py +++ b/python/packages/core/tests/workflow/test_viz.py @@ -2,6 +2,9 @@ """Tests for the workflow visualization module.""" +from pathlib import Path +from typing import Any + import pytest from agent_framework import Executor, WorkflowBuilder, WorkflowContext, WorkflowExecutor, WorkflowViz, handler @@ -25,7 +28,7 @@ class ListStrTargetExecutor(Executor): @pytest.fixture -def basic_sub_workflow(): +def basic_sub_workflow() -> dict[str, Any]: """Fixture that creates a basic sub-workflow setup for testing.""" # Create a sub-workflow sub_exec1 = MockExecutor(id="sub_exec1") @@ -98,7 +101,7 @@ def test_workflow_viz_export_dot(): assert '"executor1" -> "executor2"' in content -def test_workflow_viz_export_dot_with_filename(tmp_path): +def test_workflow_viz_export_dot_with_filename(tmp_path: Path): """Test exporting workflow as DOT format with specified filename.""" executor1 = MockExecutor(id="executor1") executor2 = MockExecutor(id="executor2") @@ -203,7 +206,7 @@ def test_workflow_viz_graphviz_binary_not_found(): mock_source_class.return_value = mock_source # Import the ExecutableNotFound exception for the test - from graphviz.backend.execute import ExecutableNotFound + from graphviz.backend.execute import ExecutableNotFound # type: ignore[import-not-found] mock_source.render.side_effect = ExecutableNotFound("failed to execute PosixPath('dot')") @@ -329,7 +332,7 @@ def test_workflow_viz_mermaid_fan_in_edge_group(): assert "s2 --> t" not in mermaid -def test_workflow_viz_sub_workflow_digraph(basic_sub_workflow): +def test_workflow_viz_sub_workflow_digraph(basic_sub_workflow: dict[str, Any]): """Test that WorkflowViz can visualize sub-workflows in DOT format.""" main_workflow = basic_sub_workflow["main_workflow"] @@ -353,7 +356,7 @@ def test_workflow_viz_sub_workflow_digraph(basic_sub_workflow): assert '"workflow_executor_1/sub_exec1" -> "workflow_executor_1/sub_exec2"' in dot_content -def test_workflow_viz_sub_workflow_mermaid(basic_sub_workflow): +def test_workflow_viz_sub_workflow_mermaid(basic_sub_workflow: dict[str, Any]): """Test that WorkflowViz can visualize sub-workflows in Mermaid format.""" main_workflow = basic_sub_workflow["main_workflow"] diff --git a/python/packages/core/tests/workflow/test_workflow.py b/python/packages/core/tests/workflow/test_workflow.py index 8bbf11fa6a..f338ce94f6 100644 --- a/python/packages/core/tests/workflow/test_workflow.py +++ b/python/packages/core/tests/workflow/test_workflow.py @@ -4,7 +4,7 @@ import asyncio import tempfile from collections.abc import AsyncIterable, Awaitable, Sequence from dataclasses import dataclass, field -from typing import Any, cast +from typing import Any, Literal, cast, overload from uuid import uuid4 import pytest @@ -13,6 +13,7 @@ from agent_framework import ( AgentExecutor, AgentResponse, AgentResponseUpdate, + AgentRunInputs, AgentSession, BaseAgent, Content, @@ -474,7 +475,7 @@ class StateTrackingExecutor(Executor): ) -> None: """Handle the message and track it in workflow state.""" # Get existing messages from workflow state - existing_messages = ctx.get_state("processed_messages") or [] + existing_messages: list[str] = ctx.get_state("processed_messages") or [] # Record this message message_record = f"{message.run_id}:{message.data}" @@ -833,6 +834,26 @@ class _StreamingTestAgent(BaseAgent): super().__init__(**kwargs) self._reply_text = reply_text + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( self, messages: str | Content | Message | Sequence[str | Content | Message] | None = None, @@ -883,8 +904,10 @@ async def test_agent_streaming_vs_non_streaming() -> None: stream_events.append(event) # Filter for agent events - agent_response = [ - cast(AgentResponse, e.data) for e in stream_events if e.type == "output" and isinstance(e.data, AgentResponse) + agent_response: list[AgentResponse[Any]] = [ + cast(AgentResponse[Any], e.data) # pyright: ignore[reportUnknownMemberType] + for e in stream_events + if e.type == "output" and isinstance(e.data, AgentResponse) ] agent_response_updates = [ e.data for e in stream_events if e.type == "output" and isinstance(e.data, AgentResponseUpdate) diff --git a/python/packages/core/tests/workflow/test_workflow_agent.py b/python/packages/core/tests/workflow/test_workflow_agent.py index d20d60ba3b..b5a8bb9902 100644 --- a/python/packages/core/tests/workflow/test_workflow_agent.py +++ b/python/packages/core/tests/workflow/test_workflow_agent.py @@ -2,7 +2,7 @@ import uuid from collections.abc import Awaitable, Sequence -from typing import Any +from typing import Any, Literal, overload import pytest from typing_extensions import Never @@ -713,6 +713,14 @@ class TestWorkflowAgent: def create_session(self, **kwargs: Any) -> AgentSession: return AgentSession() + def get_session(self, *, service_session_id: str, **kwargs: Any) -> AgentSession: + return AgentSession() + + @overload + def run(self, messages: str | Content | Message | Sequence[str | Content | Message] | None = ..., *, stream: Literal[False] = ..., session: AgentSession | None = ..., **kwargs: Any) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run(self, messages: str | Content | Message | Sequence[str | Content | Message] | None = ..., *, stream: Literal[True], session: AgentSession | None = ..., **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( self, messages: str | Content | Message | Sequence[str | Content | Message] | None = None, @@ -801,6 +809,14 @@ class TestWorkflowAgent: def create_session(self, **kwargs: Any) -> AgentSession: return AgentSession() + def get_session(self, *, service_session_id: str, **kwargs: Any) -> AgentSession: + return AgentSession() + + @overload + def run(self, messages: str | Content | Message | Sequence[str | Content | Message] | None = ..., *, stream: Literal[False] = ..., session: AgentSession | None = ..., **kwargs: Any) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run(self, messages: str | Content | Message | Sequence[str | Content | Message] | None = ..., *, stream: Literal[True], session: AgentSession | None = ..., **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( self, messages: str | Content | Message | Sequence[str | Content | Message] | None = None, @@ -1207,7 +1223,7 @@ class TestWorkflowAgentMergeUpdates: ] # Compare using role.value for Role enum - actual_sequence_normalized = [(t, r.value if hasattr(r, "value") else r) for t, r in content_sequence] + actual_sequence_normalized = [(t, r.value if hasattr(r, "value") else r) for t, r in content_sequence] # type: ignore[union-attr] assert actual_sequence_normalized == expected_sequence, ( f"FunctionResultContent should come immediately after FunctionCallContent. " diff --git a/python/packages/core/tests/workflow/test_workflow_builder.py b/python/packages/core/tests/workflow/test_workflow_builder.py index 073a24e5a3..3a7b719530 100644 --- a/python/packages/core/tests/workflow/test_workflow_builder.py +++ b/python/packages/core/tests/workflow/test_workflow_builder.py @@ -1,7 +1,8 @@ # Copyright (c) Microsoft. All rights reserved. +from collections.abc import AsyncIterator, Awaitable from dataclasses import dataclass -from typing import Any +from typing import Any, Literal, overload import pytest @@ -9,10 +10,12 @@ from agent_framework import ( AgentExecutor, AgentResponse, AgentResponseUpdate, + AgentRunInputs, AgentSession, BaseAgent, Executor, Message, + ResponseStream, WorkflowBuilder, WorkflowContext, WorkflowValidationError, @@ -21,22 +24,49 @@ from agent_framework import ( class DummyAgent(BaseAgent): - def run(self, messages=None, *, stream: bool = False, session: AgentSession | None = None, **kwargs): # type: ignore[override] + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + session: AgentSession | None = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + session: AgentSession | None = ..., + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + + def run( + self, + messages: AgentRunInputs | None = None, + *, + stream: bool = False, + session: AgentSession | None = None, + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: if stream: - return self._run_stream_impl() + return ResponseStream[AgentResponseUpdate, AgentResponse[Any]](self._run_stream_impl()) return self._run_impl(messages) - async def _run_impl(self, messages=None) -> AgentResponse: + async def _run_impl(self, messages: AgentRunInputs | None = None) -> AgentResponse: norm: list[Message] = [] if messages: - for m in messages: # type: ignore[iteration-over-optional] + for m in messages: # type: ignore[union-attr] if isinstance(m, Message): norm.append(m) elif isinstance(m, str): norm.append(Message(role="user", text=m)) return AgentResponse(messages=norm) - async def _run_stream_impl(self): # type: ignore[override] + async def _run_stream_impl(self) -> AsyncIterator[AgentResponseUpdate]: # Minimal async generator yield AgentResponseUpdate() @@ -202,7 +232,7 @@ def test_with_output_from_returns_builder(): builder = WorkflowBuilder(output_executors=[executor_a], start_executor=executor_a) # Verify builder was created with output_executors - assert builder._output_executors == [executor_a] + assert builder._output_executors == [executor_a] # pyright: ignore[reportPrivateUsage] def test_with_output_from_with_executor_instances(): diff --git a/python/packages/core/tests/workflow/test_workflow_context.py b/python/packages/core/tests/workflow/test_workflow_context.py index 53a7e44903..a13c0b5a55 100644 --- a/python/packages/core/tests/workflow/test_workflow_context.py +++ b/python/packages/core/tests/workflow/test_workflow_context.py @@ -84,7 +84,7 @@ async def test_executor_emits_normal_event() -> None: class _TestEvent(WorkflowEvent): def __init__(self, data: Any = None) -> None: - super().__init__("test_event", data=data) + super().__init__("test_event", data=data) # type: ignore[arg-type] async def test_workflow_context_type_annotations_no_parameter() -> None: @@ -244,8 +244,8 @@ async def test_workflow_context_missing_annotation_error() -> None: # Test class-based executor with missing ctx annotation with pytest.raises(ValueError, match="must have a WorkflowContext"): - class _BadExecutor(Executor): - @handler + class _BadExecutor(Executor): # pyright: ignore[reportUnusedClass] + @handler # pyright: ignore[reportUnknownArgumentType] async def bad_handler(self, text: str, ctx) -> None: # type: ignore[no-untyped-def] pass @@ -264,8 +264,8 @@ async def test_workflow_context_invalid_type_parameter_error() -> None: # Test class-based executor with invalid type parameter with pytest.raises(ValueError, match="invalid type entry"): - class _BadExecutor(Executor): - @handler + class _BadExecutor(Executor): # pyright: ignore[reportUnusedClass] + @handler # pyright: ignore[reportUnknownArgumentType] async def bad_handler(self, text: str, ctx: WorkflowContext[456]) -> None: # type: ignore[valid-type] pass diff --git a/python/packages/core/tests/workflow/test_workflow_kwargs.py b/python/packages/core/tests/workflow/test_workflow_kwargs.py index ce1465effc..0850c6b060 100644 --- a/python/packages/core/tests/workflow/test_workflow_kwargs.py +++ b/python/packages/core/tests/workflow/test_workflow_kwargs.py @@ -1,13 +1,14 @@ # Copyright (c) Microsoft. All rights reserved. -from collections.abc import AsyncIterable, Awaitable, Sequence -from typing import Annotated, Any +from collections.abc import AsyncIterable, Awaitable +from typing import Annotated, Any, Literal, overload import pytest from agent_framework import ( AgentResponse, AgentResponseUpdate, + AgentRunInputs, AgentSession, BaseAgent, Content, @@ -50,14 +51,19 @@ class _KwargsCapturingAgent(BaseAgent): super().__init__(name=name, description="Test agent for kwargs capture") self.captured_kwargs = [] + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[False] = ..., session: AgentSession | None = ..., **kwargs: Any) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[True], session: AgentSession | None = ..., **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: self.captured_kwargs.append(dict(kwargs)) if stream: @@ -83,15 +89,20 @@ class _OptionsAwareAgent(BaseAgent): self.captured_options = [] self.captured_kwargs = [] + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[False] = ..., session: AgentSession | None = ..., **kwargs: Any) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[True], session: AgentSession | None = ..., **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, options: dict[str, Any] | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: self.captured_options.append(dict(options) if options is not None else None) self.captured_kwargs.append(dict(kwargs)) if stream: @@ -189,15 +200,15 @@ async def test_sequential_run_options_does_not_conflict_with_agent_options() -> break assert len(agent.captured_options) >= 1 - captured_options = agent.captured_options[0] + captured_options: dict[str, Any] | None = agent.captured_options[0] assert captured_options is not None assert captured_options.get("store") is False - additional_args = captured_options.get("additional_function_arguments") + additional_args: Any = captured_options.get("additional_function_arguments") assert isinstance(additional_args, dict) - assert additional_args.get("source") == "workflow-options" - assert additional_args.get("custom_data") == custom_data - assert additional_args.get("user_token") == user_token + assert additional_args.get("source") == "workflow-options" # pyright: ignore[reportUnknownMemberType] + assert additional_args.get("custom_data") == custom_data # pyright: ignore[reportUnknownMemberType] + assert additional_args.get("user_token") == user_token # pyright: ignore[reportUnknownMemberType] # "options" should be passed once via the dedicated options parameter, # not duplicated in **kwargs. @@ -225,13 +236,13 @@ async def test_sequential_run_additional_function_arguments_flattened() -> None: break assert len(agent.captured_options) >= 1 - captured_options = agent.captured_options[0] + captured_options: dict[str, Any] | None = agent.captured_options[0] assert captured_options is not None - additional_args = captured_options.get("additional_function_arguments") + additional_args: Any = captured_options.get("additional_function_arguments") assert isinstance(additional_args, dict) - assert additional_args.get("custom_data") == custom_data - assert additional_args.get("user_token") == user_token + assert additional_args.get("custom_data") == custom_data # pyright: ignore[reportUnknownMemberType] + assert additional_args.get("user_token") == user_token # pyright: ignore[reportUnknownMemberType] assert "additional_function_arguments" not in additional_args assert len(agent.captured_kwargs) >= 1 @@ -255,14 +266,14 @@ async def test_sequential_run_additional_function_arguments_merges_with_options( break assert len(agent.captured_options) >= 1 - captured_options = agent.captured_options[0] + captured_options: dict[str, Any] | None = agent.captured_options[0] assert captured_options is not None - additional_args = captured_options.get("additional_function_arguments") + additional_args: Any = captured_options.get("additional_function_arguments") assert isinstance(additional_args, dict) - assert additional_args.get("source") == "workflow-options" - assert additional_args.get("custom_data") == {"session_id": "abc123"} - assert additional_args.get("user_token") == {"user_name": "alice"} + assert additional_args.get("source") == "workflow-options" # pyright: ignore[reportUnknownMemberType] + assert additional_args.get("custom_data") == {"session_id": "abc123"} # pyright: ignore[reportUnknownMemberType] + assert additional_args.get("user_token") == {"user_name": "alice"} # pyright: ignore[reportUnknownMemberType] assert "additional_function_arguments" not in additional_args @@ -463,14 +474,19 @@ async def test_kwargs_preserved_on_response_continuation() -> None: self.captured_kwargs = [] self._asked = False + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[False] = ..., session: AgentSession | None = ..., **kwargs: Any) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[True], session: AgentSession | None = ..., **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: self.captured_kwargs.append(dict(kwargs)) if not self._asked: self._asked = True @@ -521,14 +537,19 @@ async def test_kwargs_overridden_on_response_continuation() -> None: self.captured_kwargs = [] self._asked = False + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[False] = ..., session: AgentSession | None = ..., **kwargs: Any) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[True], session: AgentSession | None = ..., **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: self.captured_kwargs.append(dict(kwargs)) if not self._asked: self._asked = True @@ -583,14 +604,19 @@ async def test_kwargs_empty_value_passed_on_continuation() -> None: self.captured_kwargs = [] self._asked = False + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[False] = ..., session: AgentSession | None = ..., **kwargs: Any) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run(self, messages: AgentRunInputs | None = ..., *, stream: Literal[True], session: AgentSession | None = ..., **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + def run( self, - messages: str | Content | Message | Sequence[str | Content | Message] | None = None, + messages: AgentRunInputs | None = None, *, stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]: + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: self.captured_kwargs.append(dict(kwargs)) if not self._asked: self._asked = True @@ -690,8 +716,8 @@ async def test_handoff_kwargs_flow_to_agents() -> None: workflow = ( HandoffBuilder(termination_condition=lambda conv: len(conv) >= 4) - .participants([agent1, agent2]) - .with_start_agent(agent1) + .participants([agent1, agent2]) # type: ignore[list-item] + .with_start_agent(agent1) # type: ignore[arg-type] .with_autonomous_mode() .build() ) diff --git a/python/packages/core/tests/workflow/test_workflow_observability.py b/python/packages/core/tests/workflow/test_workflow_observability.py index b2260abe63..b098fa2771 100644 --- a/python/packages/core/tests/workflow/test_workflow_observability.py +++ b/python/packages/core/tests/workflow/test_workflow_observability.py @@ -109,7 +109,7 @@ async def test_span_creation_and_attributes(span_exporter: InMemorySpanExporter) { "id": "test-workflow-123", "max_iterations": 100, - "model_dump_json": lambda self: '{"id": "test-workflow-123", "type": "mock"}', + "model_dump_json": lambda self: '{"id": "test-workflow-123", "type": "mock"}', # pyright: ignore[reportUnknownLambdaType] }, )(), ) @@ -122,7 +122,7 @@ async def test_span_creation_and_attributes(span_exporter: InMemorySpanExporter) }, ) as workflow_span: workflow_span.add_event(OtelAttr.WORKFLOW_STARTED) - sending_attributes = { + sending_attributes: dict[str, str | int] = { OtelAttr.MESSAGE_TYPE: "ResponseMessage", OtelAttr.MESSAGE_DESTINATION_EXECUTOR_ID: "target-789", } @@ -231,7 +231,7 @@ async def test_trace_context_handling(span_exporter: InMemorySpanExporter) -> No @pytest.mark.parametrize("enable_instrumentation", [False], indirect=True) async def test_trace_context_disabled_when_tracing_disabled( - enable_instrumentation, span_exporter: InMemorySpanExporter + enable_instrumentation: bool, span_exporter: InMemorySpanExporter ) -> None: """Test that no trace context is added when tracing is disabled.""" # Tracing should be disabled by default @@ -313,7 +313,7 @@ async def test_end_to_end_workflow_tracing(span_exporter: InMemorySpanExporter) span_exporter.clear() # Run workflow (this should create run spans) - events = [] + events: list[Any] = [] async for event in workflow.run("test input", stream=True): events.append(event) diff --git a/python/packages/core/tests/workflow/test_workflow_states.py b/python/packages/core/tests/workflow/test_workflow_states.py index 0ccf84b103..34c7e8c93f 100644 --- a/python/packages/core/tests/workflow/test_workflow_states.py +++ b/python/packages/core/tests/workflow/test_workflow_states.py @@ -1,5 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. +from typing import Any + import pytest from typing_extensions import Never @@ -36,16 +38,16 @@ async def test_executor_failed_and_workflow_failed_events_streaming(): events.append(ev) # executor_failed event (type='executor_failed') should be emitted before workflow failed event - executor_failed_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_failed"] + executor_failed_events: list[WorkflowEvent[Any]] = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_failed"] assert executor_failed_events, "executor_failed event should be emitted when start executor fails" assert executor_failed_events[0].executor_id == "f" assert executor_failed_events[0].origin is WorkflowEventSource.FRAMEWORK # Workflow-level failure and FAILED status should be surfaced - failed_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "failed"] + failed_events: list[WorkflowEvent[Any]] = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "failed"] assert failed_events assert all(e.origin is WorkflowEventSource.FRAMEWORK for e in failed_events) - status = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "status"] + status: list[WorkflowEvent[Any]] = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "status"] assert status and status[-1].state == WorkflowRunState.FAILED assert all(e.origin is WorkflowEventSource.FRAMEWORK for e in status) @@ -94,13 +96,13 @@ async def test_executor_failed_event_from_second_executor_in_chain(): events.append(ev) # executor_failed event should be emitted for the failing executor - executor_failed_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_failed"] + executor_failed_events: list[WorkflowEvent[Any]] = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "executor_failed"] assert executor_failed_events, "executor_failed event should be emitted when second executor fails" assert executor_failed_events[0].executor_id == "failing" assert executor_failed_events[0].origin is WorkflowEventSource.FRAMEWORK # Workflow-level failure should also be surfaced - failed_events = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "failed"] + failed_events: list[WorkflowEvent[Any]] = [e for e in events if isinstance(e, WorkflowEvent) and e.type == "failed"] assert failed_events assert all(e.origin is WorkflowEventSource.FRAMEWORK for e in failed_events) diff --git a/python/pyproject.toml b/python/pyproject.toml index af80756bed..6bd15774a9 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -184,7 +184,6 @@ omit = [ [tool.pyright] include = ["agent_framework*"] -exclude = ["**/tests/**", "**/.venv/**", "packages/devui/frontend/**"] typeCheckingMode = "strict" reportUnnecessaryIsInstance = false reportMissingTypeStubs = false From 7135ed13eb4d66df2a6dfc11a60abf3598365eb4 Mon Sep 17 00:00:00 2001 From: Giles Odigwe <79032838+giles17@users.noreply.github.com> Date: Tue, 3 Mar 2026 15:01:17 -0800 Subject: [PATCH 42/59] Python: Add file_ids and data_sources support to get_code_interpreter_tool() (#4201) * Python: Add file_ids and data_sources support to AzureAIAgentClient.get_code_interpreter_tool() Update the factory method to accept file_ids and data_sources keyword arguments, matching the underlying azure.ai.agents SDK CodeInterpreterTool constructor. This enables users to attach uploaded files for code interpreter analysis. Fixes #4050 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * addressed comments * addressed comments * Add per-message file attachment support for AzureAIAgentClient Add hosted_file handling in _prepare_messages() to convert Content.from_hosted_file() into MessageAttachment on ThreadMessageOptions. This enables per-message file scoping for code interpreter, matching the underlying Azure AI Agents SDK MessageAttachment pattern. - Add hosted_file case in _prepare_messages() match statement - Import MessageAttachment from azure.ai.agents.models - Add sample for per-message CSV file attachment with code interpreter - Add employees.csv test data file - Add 3 unit tests for hosted_file attachment conversion Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review: validation, fix assertions, remove MessageAttachment - Add empty string validation in resolve_file_ids() - Add test for Content with file_id=None - Add test for empty string file_ids - Revert MessageAttachment/hosted_file handling from _prepare_messages() (moved to separate issue #4352 for proper design) - Remove per-message file upload sample and employees.csv - Keep data_sources assertion as-is (dict keyed by asset_identifier) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../agent_framework_azure_ai/_chat_client.py | 30 ++++- .../agent_framework_azure_ai/_client.py | 11 +- .../agent_framework_azure_ai/_shared.py | 42 +++++++ .../tests/test_azure_ai_agent_client.py | 104 ++++++++++++++++++ .../azure-ai/tests/test_azure_ai_client.py | 29 +++++ 5 files changed, 209 insertions(+), 7 deletions(-) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_chat_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_chat_client.py index 7590111bac..2c0498b1e4 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_chat_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_chat_client.py @@ -87,10 +87,11 @@ from azure.ai.agents.models import ( ToolApproval, ToolDefinition, ToolOutput, + VectorStoreDataSource, ) from pydantic import BaseModel -from ._shared import AzureAISettings, to_azure_ai_agent_tools +from ._shared import AzureAISettings, resolve_file_ids, to_azure_ai_agent_tools if sys.version_info >= (3, 13): from typing import TypeVar # type: ignore # pragma: no cover @@ -219,9 +220,21 @@ class AzureAIAgentClient( # region Hosted Tool Factory Methods @staticmethod - def get_code_interpreter_tool() -> CodeInterpreterTool: + def get_code_interpreter_tool( + *, + file_ids: list[str | Content] | None = None, + data_sources: list[VectorStoreDataSource] | None = None, + ) -> CodeInterpreterTool: """Create a code interpreter tool configuration for Azure AI Agents. + Keyword Args: + file_ids: List of uploaded file IDs or Content objects to make available to + the code interpreter. Accepts plain strings or Content.from_hosted_file() + instances. The underlying SDK raises ValueError if both file_ids and + data_sources are provided. + data_sources: List of vector store data sources for enterprise file search. + Mutually exclusive with file_ids. + Returns: A CodeInterpreterTool instance ready to pass to ChatAgent. @@ -230,10 +243,21 @@ class AzureAIAgentClient( from agent_framework.azure import AzureAIAgentClient + # Basic code interpreter tool = AzureAIAgentClient.get_code_interpreter_tool() + + # With uploaded file IDs + tool = AzureAIAgentClient.get_code_interpreter_tool(file_ids=["file-abc123"]) + + # With Content objects + from agent_framework import Content + + tool = AzureAIAgentClient.get_code_interpreter_tool(file_ids=[Content.from_hosted_file("file-abc123")]) + agent = ChatAgent(client, tools=[tool]) """ - return CodeInterpreterTool() + resolved = resolve_file_ids(file_ids) + return CodeInterpreterTool(file_ids=resolved, data_sources=data_sources) @staticmethod def get_file_search_tool( diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_client.py index 7c698847cc..37e5e1fbcc 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_client.py @@ -50,7 +50,7 @@ from azure.ai.projects.models import ( from azure.ai.projects.models import FileSearchTool as ProjectsFileSearchTool from azure.core.exceptions import ResourceNotFoundError -from ._shared import AzureAISettings, create_text_format_config +from ._shared import AzureAISettings, create_text_format_config, resolve_file_ids if sys.version_info >= (3, 13): from typing import TypeVar # type: ignore # pragma: no cover @@ -830,14 +830,16 @@ class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[ @staticmethod def get_code_interpreter_tool( # type: ignore[override] *, - file_ids: list[str] | None = None, + file_ids: list[str | Content] | None = None, container: Literal["auto"] | dict[str, Any] = "auto", **kwargs: Any, ) -> CodeInterpreterTool: """Create a code interpreter tool configuration for Azure AI Projects. Keyword Args: - file_ids: Optional list of file IDs to make available to the code interpreter. + file_ids: Optional list of file IDs or Content objects to make available to + the code interpreter. Accepts plain strings or Content.from_hosted_file() + instances. container: Container configuration. Use "auto" for automatic container management. Note: Custom container settings from this parameter are not used by Azure AI Projects; use file_ids instead. @@ -857,7 +859,8 @@ class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[ # Extract file_ids from container if provided as dict and file_ids not explicitly set if file_ids is None and isinstance(container, dict): file_ids = container.get("file_ids") - tool_container = CodeInterpreterToolAuto(file_ids=file_ids if file_ids else None) + resolved = resolve_file_ids(file_ids) + tool_container = CodeInterpreterToolAuto(file_ids=resolved) return CodeInterpreterTool(container=tool_container, **kwargs) @staticmethod diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_shared.py b/python/packages/azure-ai/agent_framework_azure_ai/_shared.py index 7dd1064bda..dd0486df9e 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_shared.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_shared.py @@ -8,6 +8,7 @@ from collections.abc import Mapping, MutableMapping, Sequence from typing import Any, cast from agent_framework import ( + Content, FunctionTool, ) from agent_framework.exceptions import IntegrationInvalidRequestException @@ -109,6 +110,47 @@ def _extract_project_connection_id(additional_properties: dict[str, Any] | None) return None +def resolve_file_ids(file_ids: Sequence[str | Content] | None) -> list[str] | None: + """Resolve a list of file ID values that may include Content objects. + + Accepts plain strings and Content objects with type "hosted_file", extracting + the file_id from each. This enables users to pass Content.from_hosted_file() + alongside plain file ID strings. + + Args: + file_ids: Sequence of file ID strings or Content objects, or None. + + Returns: + A list of resolved file ID strings, or None if input is None or empty. + + Raises: + ValueError: If a Content object has an unsupported type (not "hosted_file"). + """ + if not file_ids: + return None + + resolved: list[str] = [] + for item in file_ids: + if isinstance(item, str): + if not item: + raise ValueError("file_ids must not contain empty strings.") + resolved.append(item) + elif isinstance(item, Content): + if item.type != "hosted_file": + raise ValueError( + f"Unsupported Content type '{item.type}' for code interpreter file_ids. " + "Only Content.from_hosted_file() is supported." + ) + if item.file_id is None: + raise ValueError( + "Content.from_hosted_file() item is missing a file_id. " + "Ensure the Content object has a valid file_id before using it in file_ids." + ) + resolved.append(item.file_id) + + return resolved if resolved else None + + def to_azure_ai_agent_tools( tools: Sequence[FunctionTool | MutableMapping[str, Any]] | None, run_options: dict[str, Any] | None = None, diff --git a/python/packages/azure-ai/tests/test_azure_ai_agent_client.py b/python/packages/azure-ai/tests/test_azure_ai_agent_client.py index b35efb6268..6c18352195 100644 --- a/python/packages/azure-ai/tests/test_azure_ai_agent_client.py +++ b/python/packages/azure-ai/tests/test_azure_ai_agent_client.py @@ -855,6 +855,110 @@ async def test_azure_ai_chat_client_prepare_tools_for_azure_ai_file_search_with_ assert run_options["tool_resources"] == {"file_search": {"vector_store_ids": ["vs-123"]}} +async def test_azure_ai_chat_client_prepare_tools_for_azure_ai_code_interpreter_with_file_ids( + mock_agents_client: MagicMock, +) -> None: + """Test _prepare_tools_for_azure_ai with CodeInterpreterTool with file_ids from get_code_interpreter_tool().""" + + client = create_test_azure_ai_chat_client(mock_agents_client, agent_id="test-agent") + + code_interpreter_tool = client.get_code_interpreter_tool(file_ids=["file-123", "file-456"]) + + run_options: dict[str, Any] = {} + result = await client._prepare_tools_for_azure_ai([code_interpreter_tool], run_options) # type: ignore + + assert len(result) == 1 + assert result[0] == {"type": "code_interpreter"} + assert "tool_resources" in run_options + assert "code_interpreter" in run_options["tool_resources"] + assert sorted(run_options["tool_resources"]["code_interpreter"]["file_ids"]) == ["file-123", "file-456"] + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_basic() -> None: + """Test get_code_interpreter_tool returns CodeInterpreterTool without files.""" + from azure.ai.agents.models import CodeInterpreterTool + + tool = AzureAIAgentClient.get_code_interpreter_tool() + assert isinstance(tool, CodeInterpreterTool) + assert len(tool.file_ids) == 0 + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_with_file_ids() -> None: + """Test get_code_interpreter_tool forwards file_ids to the SDK.""" + from azure.ai.agents.models import CodeInterpreterTool + + tool = AzureAIAgentClient.get_code_interpreter_tool(file_ids=["file-abc", "file-def"]) + assert isinstance(tool, CodeInterpreterTool) + assert "file-abc" in tool.file_ids + assert "file-def" in tool.file_ids + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_with_data_sources() -> None: + """Test get_code_interpreter_tool forwards data_sources to the SDK.""" + from azure.ai.agents.models import CodeInterpreterTool, VectorStoreDataSource + + ds = VectorStoreDataSource(asset_identifier="test-asset-id", asset_type="id_asset") + tool = AzureAIAgentClient.get_code_interpreter_tool(data_sources=[ds]) + assert isinstance(tool, CodeInterpreterTool) + assert "test-asset-id" in tool.data_sources + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_mutually_exclusive() -> None: + """Test get_code_interpreter_tool raises ValueError when both file_ids and data_sources are provided.""" + from azure.ai.agents.models import VectorStoreDataSource + + ds = VectorStoreDataSource(asset_identifier="test-asset-id", asset_type="id_asset") + with pytest.raises(ValueError, match="mutually exclusive"): + AzureAIAgentClient.get_code_interpreter_tool(file_ids=["file-abc"], data_sources=[ds]) + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_with_content() -> None: + """Test get_code_interpreter_tool accepts Content.from_hosted_file in file_ids.""" + from agent_framework import Content + from azure.ai.agents.models import CodeInterpreterTool + + content = Content.from_hosted_file("file-content-123") + tool = AzureAIAgentClient.get_code_interpreter_tool(file_ids=[content]) + assert isinstance(tool, CodeInterpreterTool) + assert "file-content-123" in tool.file_ids + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_with_mixed_file_ids() -> None: + """Test get_code_interpreter_tool accepts a mix of strings and Content objects.""" + from agent_framework import Content + from azure.ai.agents.models import CodeInterpreterTool + + content = Content.from_hosted_file("file-from-content") + tool = AzureAIAgentClient.get_code_interpreter_tool(file_ids=["file-plain", content]) + assert isinstance(tool, CodeInterpreterTool) + assert "file-plain" in tool.file_ids + assert "file-from-content" in tool.file_ids + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_content_unsupported_type() -> None: + """Test get_code_interpreter_tool raises ValueError for unsupported Content types.""" + from agent_framework import Content + + content = Content.from_hosted_vector_store("vs-123") + with pytest.raises(ValueError, match="Unsupported Content type"): + AzureAIAgentClient.get_code_interpreter_tool(file_ids=[content]) + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_content_missing_file_id() -> None: + """Test get_code_interpreter_tool raises ValueError when Content.file_id is None.""" + from agent_framework import Content + + content = Content(type="hosted_file") + with pytest.raises(ValueError, match="missing a file_id"): + AzureAIAgentClient.get_code_interpreter_tool(file_ids=[content]) + + +async def test_azure_ai_chat_client_get_code_interpreter_tool_empty_string_file_id() -> None: + """Test get_code_interpreter_tool raises ValueError for empty string file_ids.""" + with pytest.raises(ValueError, match="must not contain empty strings"): + AzureAIAgentClient.get_code_interpreter_tool(file_ids=[""]) + + async def test_azure_ai_chat_client_create_agent_stream_submit_tool_approvals( mock_agents_client: MagicMock, ) -> None: diff --git a/python/packages/azure-ai/tests/test_azure_ai_client.py b/python/packages/azure-ai/tests/test_azure_ai_client.py index 4ec1b90971..5ddeae6783 100644 --- a/python/packages/azure-ai/tests/test_azure_ai_client.py +++ b/python/packages/azure-ai/tests/test_azure_ai_client.py @@ -1685,6 +1685,35 @@ def test_get_code_interpreter_tool_with_file_ids() -> None: assert tool["container"]["file_ids"] == ["file-123", "file-456"] +def test_get_code_interpreter_tool_with_content() -> None: + """Test get_code_interpreter_tool accepts Content.from_hosted_file in file_ids.""" + from agent_framework import Content + + content = Content.from_hosted_file("file-content-123") + tool = AzureAIClient.get_code_interpreter_tool(file_ids=[content]) + assert isinstance(tool, CodeInterpreterTool) + assert tool["container"]["file_ids"] == ["file-content-123"] + + +def test_get_code_interpreter_tool_with_mixed_file_ids() -> None: + """Test get_code_interpreter_tool accepts a mix of strings and Content objects.""" + from agent_framework import Content + + content = Content.from_hosted_file("file-from-content") + tool = AzureAIClient.get_code_interpreter_tool(file_ids=["file-plain", content]) + assert isinstance(tool, CodeInterpreterTool) + assert sorted(tool["container"]["file_ids"]) == ["file-from-content", "file-plain"] + + +def test_get_code_interpreter_tool_content_unsupported_type() -> None: + """Test get_code_interpreter_tool raises ValueError for unsupported Content types.""" + from agent_framework import Content + + content = Content.from_hosted_vector_store("vs-123") + with pytest.raises(ValueError, match="Unsupported Content type"): + AzureAIClient.get_code_interpreter_tool(file_ids=[content]) + + def test_get_file_search_tool_basic() -> None: """Test get_file_search_tool returns FileSearchTool.""" tool = AzureAIClient.get_file_search_tool(vector_store_ids=["vs-123"]) From 2b3c401848d3157d94cba399428a24a190c79771 Mon Sep 17 00:00:00 2001 From: Giles Odigwe <79032838+giles17@users.noreply.github.com> Date: Tue, 3 Mar 2026 15:02:03 -0800 Subject: [PATCH 43/59] 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> --- .../agent_framework_ag_ui/_run_common.py | 11 +++ python/packages/ag-ui/tests/ag_ui/test_run.py | 24 +++++ .../agent_framework_azure_ai/_client.py | 62 ++++++++++++ .../azure-ai/tests/test_azure_ai_client.py | 99 +++++++++++++++++++ .../packages/core/agent_framework/_types.py | 36 +++++++ python/packages/core/tests/core/test_types.py | 27 +++++ 6 files changed, 259 insertions(+) diff --git a/python/packages/ag-ui/agent_framework_ag_ui/_run_common.py b/python/packages/ag-ui/agent_framework_ag_ui/_run_common.py index 997c375ed1..d8cf236add 100644 --- a/python/packages/ag-ui/agent_framework_ag_ui/_run_common.py +++ b/python/packages/ag-ui/agent_framework_ag_ui/_run_common.py @@ -372,6 +372,15 @@ def _emit_usage(content: Content) -> list[BaseEvent]: return [CustomEvent(name="usage", value=usage_details)] +def _emit_oauth_consent(content: Content) -> list[BaseEvent]: + """Emit an OAuth consent request as a custom event so frontends can render a consent link.""" + return ( + [CustomEvent(name="oauth_consent_request", value={"consent_link": content.consent_link})] + if content.consent_link + else [] + ) + + def _emit_content( content: Any, flow: FlowState, @@ -391,5 +400,7 @@ def _emit_content( return _emit_approval_request(content, flow, predictive_handler, require_confirmation) if content_type == "usage": return _emit_usage(content) + if content_type == "oauth_consent_request": + return _emit_oauth_consent(content) logger.debug("Skipping unsupported content type in AG-UI emitter: %s", content_type) return [] diff --git a/python/packages/ag-ui/tests/ag_ui/test_run.py b/python/packages/ag-ui/tests/ag_ui/test_run.py index 73c9648c02..e0771e1b7e 100644 --- a/python/packages/ag-ui/tests/ag_ui/test_run.py +++ b/python/packages/ag-ui/tests/ag_ui/test_run.py @@ -4,6 +4,7 @@ import pytest from ag_ui.core import ( + CustomEvent, TextMessageEndEvent, TextMessageStartEvent, ToolCallArgsEvent, @@ -871,3 +872,26 @@ class TestTextMessageEventBalancing: assert len(start_events) == 2 assert len(end_events) == 2 + + +def test_emit_oauth_consent_request(): + """Test that oauth_consent_request content emits a CustomEvent.""" + content = Content.from_oauth_consent_request( + consent_link="https://login.microsoftonline.com/consent", + ) + flow = FlowState() + events = _emit_content(content, flow) + + assert len(events) == 1 + assert isinstance(events[0], CustomEvent) + assert events[0].name == "oauth_consent_request" + assert events[0].value == {"consent_link": "https://login.microsoftonline.com/consent"} + + +def test_emit_oauth_consent_request_no_link(): + """Test that oauth_consent_request without a consent_link emits no events.""" + content = Content("oauth_consent_request") + flow = FlowState() + events = _emit_content(content, flow) + + assert len(events) == 0 diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_client.py index 37e5e1fbcc..265dd6c2a6 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_client.py @@ -588,6 +588,68 @@ class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[ """Get the current conversation ID from chat options or kwargs.""" return options.get("conversation_id") or kwargs.get("conversation_id") or self.conversation_id + @override + def _parse_response_from_openai( + self, + response: Any, + options: dict[str, Any], + ) -> ChatResponse: + """Parse an Azure AI Responses API response, handling Azure-specific output item types.""" + result = super()._parse_response_from_openai(response, options) + + if result.messages: + for item in response.output: + if item.type == "oauth_consent_request": + consent_link = item.consent_link + if consent_link and not consent_link.startswith("https://"): + logger.warning("Skipping oauth_consent_request with non-HTTPS consent_link: %s", item) + consent_link = "" + if consent_link: + result.messages[0].contents.append( + Content.from_oauth_consent_request( + consent_link=consent_link, + raw_representation=item, + ) + ) + else: + logger.warning("Received oauth_consent_request output without consent_link: %s", item) + + return result + + @override + def _parse_chunk_from_openai( + self, + event: Any, + options: dict[str, Any], + function_call_ids: dict[int, tuple[str, str]], + ) -> ChatResponseUpdate: + """Parse an Azure AI streaming event, handling Azure-specific event types.""" + # Intercept output_item.added events for Azure-specific item types + if event.type == "response.output_item.added" and event.item.type == "oauth_consent_request": + event_item = event.item + consent_link = event_item.consent_link + if consent_link and not consent_link.startswith("https://"): + logger.warning("Skipping oauth_consent_request with non-HTTPS consent_link: %s", event_item) + consent_link = "" + contents: list[Content] = [] + if consent_link: + contents.append( + Content.from_oauth_consent_request( + consent_link=consent_link, + raw_representation=event_item, + ) + ) + else: + logger.warning("Received oauth_consent_request output without consent_link: %s", event_item) + return ChatResponseUpdate( + contents=contents, + role="assistant", + model_id=self.model_id, + raw_representation=event, + ) + + return super()._parse_chunk_from_openai(event, options, function_call_ids) + def _prepare_messages_for_azure_ai(self, messages: Sequence[Message]) -> tuple[list[Message], str | None]: """Prepare input from messages and convert system/developer messages to instructions.""" result: list[Message] = [] diff --git a/python/packages/azure-ai/tests/test_azure_ai_client.py b/python/packages/azure-ai/tests/test_azure_ai_client.py index 5ddeae6783..a62cd5628f 100644 --- a/python/packages/azure-ai/tests/test_azure_ai_client.py +++ b/python/packages/azure-ai/tests/test_azure_ai_client.py @@ -2174,4 +2174,103 @@ def test_build_url_citation_content_with_dict(mock_project_client: MagicMock) -> assert "get_url" not in ann.get("additional_properties", {}) +# region OAuth Consent + + +def test_parse_chunk_with_oauth_consent_request(mock_project_client: MagicMock) -> None: + """Test that a streaming oauth_consent_request output item is parsed into oauth_consent_request content. + + This reproduces the bug from issue #3950 where the event was logged as "Unparsed event" + and silently discarded, causing the agent run to complete with zero content. + """ + client = AzureAIClient(project_client=mock_project_client, agent_name="test") + chat_options: dict[str, Any] = {} + function_call_ids: dict[int, tuple[str, str]] = {} + + mock_item = MagicMock() + mock_item.type = "oauth_consent_request" + mock_item.consent_link = "https://login.microsoftonline.com/common/oauth2/authorize?client_id=abc123" + + mock_event = MagicMock() + mock_event.type = "response.output_item.added" + mock_event.item = mock_item + mock_event.output_index = 0 + + update = client._parse_chunk_from_openai(mock_event, chat_options, function_call_ids) + + assert len(update.contents) == 1 + consent_content = update.contents[0] + assert consent_content.type == "oauth_consent_request" + assert consent_content.consent_link == "https://login.microsoftonline.com/common/oauth2/authorize?client_id=abc123" + assert consent_content.user_input_request is True + + +def test_parse_response_with_oauth_consent_output_item(mock_project_client: MagicMock) -> None: + """Test that a non-streaming oauth_consent_request output item is parsed correctly.""" + client = AzureAIClient(project_client=mock_project_client, agent_name="test") + + mock_item = MagicMock() + mock_item.type = "oauth_consent_request" + mock_item.consent_link = "https://login.microsoftonline.com/consent?code=abc" + + mock_response = MagicMock() + mock_response.output = [mock_item] + mock_response.output_parsed = None + mock_response.metadata = {} + mock_response.id = "resp-oauth-1" + mock_response.model = "test-model" + mock_response.created_at = 1000000000 + mock_response.usage = None + mock_response.status = "completed" + + response = client._parse_response_from_openai(mock_response, {}) + + assert len(response.messages) > 0 + consent_contents = [c for c in response.messages[0].contents if c.type == "oauth_consent_request"] + assert len(consent_contents) == 1 + assert consent_contents[0].consent_link == "https://login.microsoftonline.com/consent?code=abc" + + +def test_parse_chunk_oauth_consent_no_link(mock_project_client: MagicMock) -> None: + """Test that a streaming oauth_consent_request with no consent_link produces empty contents.""" + client = AzureAIClient(project_client=mock_project_client, agent_name="test") + + mock_item = MagicMock() + mock_item.type = "oauth_consent_request" + mock_item.consent_link = "" + + mock_event = MagicMock() + mock_event.type = "response.output_item.added" + mock_event.item = mock_item + mock_event.output_index = 0 + + update = client._parse_chunk_from_openai(mock_event, {}, {}) + + assert not any(c.type == "oauth_consent_request" for c in update.contents) + + +def test_parse_response_oauth_consent_no_link(mock_project_client: MagicMock) -> None: + """Test that a non-streaming oauth_consent_request with no consent_link appends no content.""" + client = AzureAIClient(project_client=mock_project_client, agent_name="test") + + mock_item = MagicMock() + mock_item.type = "oauth_consent_request" + mock_item.consent_link = None + + mock_response = MagicMock() + mock_response.output = [mock_item] + mock_response.output_parsed = None + mock_response.metadata = {} + mock_response.id = "resp-oauth-2" + mock_response.model = "test-model" + mock_response.created_at = 1000000000 + mock_response.usage = None + mock_response.status = "completed" + + response = client._parse_response_from_openai(mock_response, {}) + + consent_contents = [c for c in response.messages[0].contents if c.type == "oauth_consent_request"] + assert len(consent_contents) == 0 + + # endregion diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py index beed97834c..ee0e813d27 100644 --- a/python/packages/core/agent_framework/_types.py +++ b/python/packages/core/agent_framework/_types.py @@ -345,6 +345,7 @@ ContentType = Literal[ "shell_command_output", "function_approval_request", "function_approval_response", + "oauth_consent_request", ] @@ -498,6 +499,8 @@ class Content: function_call: Content | None = None, user_input_request: bool | None = None, approved: bool | None = None, + # OAuth consent fields + consent_link: str | None = None, # Common fields annotations: Sequence[Annotation] | None = None, additional_properties: MutableMapping[str, Any] | None = None, @@ -546,6 +549,7 @@ class Content: self.function_call = function_call self.user_input_request = user_input_request self.approved = approved + self.consent_link = consent_link @classmethod def from_text( @@ -1122,6 +1126,37 @@ class Content: raw_representation=raw_representation, ) + @classmethod + def from_oauth_consent_request( + cls: type[ContentT], + consent_link: str, + *, + annotations: Sequence[Annotation] | None = None, + additional_properties: MutableMapping[str, Any] | None = None, + raw_representation: Any = None, + ) -> ContentT: + """Create OAuth consent request content. + + Args: + consent_link: The URL the user must visit to complete OAuth consent. + + Keyword Args: + annotations: Optional annotations. + additional_properties: Optional additional properties. + raw_representation: Optional raw representation from the provider. + + Returns: + A new Content instance with type ``oauth_consent_request``. + """ + return cls( + "oauth_consent_request", + consent_link=consent_link, + user_input_request=True, + annotations=annotations, + additional_properties=additional_properties, + raw_representation=raw_representation, + ) + def to_function_approval_response( self, approved: bool, @@ -1176,6 +1211,7 @@ class Content: "user_input_request", "approved", "id", + "consent_link", "additional_properties", ) diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py index c858ff1e3f..bcf3a6891b 100644 --- a/python/packages/core/tests/core/test_types.py +++ b/python/packages/core/tests/core/test_types.py @@ -3424,3 +3424,30 @@ class TestResponseStreamEdgeCases: # endregion + + +# region OAuth Consent Content + + +def test_oauth_consent_request_creation(): + """Test Content.from_oauth_consent_request creates the correct content.""" + content = Content.from_oauth_consent_request( + consent_link="https://login.microsoftonline.com/common/oauth2/authorize?client_id=abc", + ) + assert content.type == "oauth_consent_request" + assert content.consent_link == "https://login.microsoftonline.com/common/oauth2/authorize?client_id=abc" + assert content.user_input_request is True + + +def test_oauth_consent_request_serialization_roundtrip(): + """Test that oauth_consent_request content serializes and includes consent_link.""" + content = Content.from_oauth_consent_request( + consent_link="https://login.microsoftonline.com/consent", + ) + d = content.to_dict() + assert d["type"] == "oauth_consent_request" + assert d["consent_link"] == "https://login.microsoftonline.com/consent" + assert d["user_input_request"] is True + + +# endregion From 5ba1c6f0cc92d2d779f4c67e15e521f55a13f154 Mon Sep 17 00:00:00 2001 From: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> Date: Tue, 3 Mar 2026 15:28:24 -0800 Subject: [PATCH 44/59] .NET: Updated Copilot SDK to the latest version (#4406) * Updated Copilot SDK to the latest version * Added retry --- dotnet/Directory.Packages.props | 4 ++-- .../AzureAIAgentsPersistentCreateTests.cs | 13 +++++++++---- .../GitHubCopilotAgentTests.cs | 4 ++-- 3 files changed, 13 insertions(+), 8 deletions(-) diff --git a/dotnet/Directory.Packages.props b/dotnet/Directory.Packages.props index 1b1e0daa08..c052057a58 100644 --- a/dotnet/Directory.Packages.props +++ b/dotnet/Directory.Packages.props @@ -94,7 +94,7 @@ - + @@ -187,4 +187,4 @@ runtime; build; native; contentfiles; analyzers; buildtransitive - \ No newline at end of file + diff --git a/dotnet/tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistentCreateTests.cs b/dotnet/tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistentCreateTests.cs index ab2e1848a5..f750b5a8e7 100644 --- a/dotnet/tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistentCreateTests.cs +++ b/dotnet/tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistentCreateTests.cs @@ -132,10 +132,15 @@ public class AzureAIAgentsPersistentCreateTests } } - [Theory] - [InlineData("CreateWithChatClientAgentOptionsAsync")] - [InlineData("CreateWithFoundryOptionsAsync")] - public async Task CreateAgent_CreatesAgentWithCodeInterpreterAsync(string createMechanism) + [Fact] + public Task CreateAgent_CreatesAgentWithCodeInterpreter_ChatClientAgentOptionsAsync() + => this.CreateAgent_CreatesAgentWithCodeInterpreterAsync("CreateWithChatClientAgentOptionsAsync"); + + [RetryFact(Constants.RetryCount, Constants.RetryDelay)] + public Task CreateAgent_CreatesAgentWithCodeInterpreter_FoundryOptionsAsync() + => this.CreateAgent_CreatesAgentWithCodeInterpreterAsync("CreateWithFoundryOptionsAsync"); + + private async Task CreateAgent_CreatesAgentWithCodeInterpreterAsync(string createMechanism) { // Arrange. const string AgentInstructions = """ diff --git a/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs b/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs index 8a4d3c1068..5806636925 100644 --- a/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs @@ -109,7 +109,7 @@ public sealed class GitHubCopilotAgentTests var hooks = new SessionHooks(); var infiniteSessions = new InfiniteSessionConfig(); var systemMessage = new SystemMessageConfig { Mode = SystemMessageMode.Append, Content = "Be helpful" }; - PermissionHandler permissionHandler = (_, _) => Task.FromResult(new PermissionRequestResult()); + PermissionRequestHandler permissionHandler = (_, _) => Task.FromResult(new PermissionRequestResult()); UserInputHandler userInputHandler = (_, _) => Task.FromResult(new UserInputResponse { Answer = "input" }); var mcpServers = new Dictionary { ["server1"] = new McpLocalServerConfig() }; @@ -160,7 +160,7 @@ public sealed class GitHubCopilotAgentTests var hooks = new SessionHooks(); var infiniteSessions = new InfiniteSessionConfig(); var systemMessage = new SystemMessageConfig { Mode = SystemMessageMode.Append, Content = "Be helpful" }; - PermissionHandler permissionHandler = (_, _) => Task.FromResult(new PermissionRequestResult()); + PermissionRequestHandler permissionHandler = (_, _) => Task.FromResult(new PermissionRequestResult()); UserInputHandler userInputHandler = (_, _) => Task.FromResult(new UserInputResponse { Answer = "input" }); var mcpServers = new Dictionary { ["server1"] = new McpLocalServerConfig() }; From b5edb529b753f71c2ba996f5a3a298788f61fa45 Mon Sep 17 00:00:00 2001 From: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> Date: Tue, 3 Mar 2026 16:11:41 -0800 Subject: [PATCH 45/59] Python: Upgraded azure-ai-projects to 2.0.0b4 (#4438) * Upgraded azure-ai-projects to 2.0.0b4 * Fixed tests --- .../agent_framework_azure_ai/_client.py | 31 +++++++---- .../_foundry_memory_provider.py | 21 ++++---- .../_project_provider.py | 35 +++++++----- .../agent_framework_azure_ai/_shared.py | 20 +++---- .../azure-ai/tests/test_azure_ai_client.py | 20 +++---- .../tests/test_foundry_memory_provider.py | 53 ++++++++++--------- .../packages/azure-ai/tests/test_provider.py | 3 +- python/packages/core/pyproject.toml | 3 +- .../azure_ai_foundry_memory.py | 6 +-- .../azure_ai/azure_ai_provider_methods.py | 8 +-- .../azure_ai/azure_ai_with_memory_search.py | 6 +-- python/uv.lock | 19 +++---- 12 files changed, 120 insertions(+), 105 deletions(-) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_client.py b/python/packages/azure-ai/agent_framework_azure_ai/_client.py index 265dd6c2a6..61c4a09e94 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_client.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_client.py @@ -37,12 +37,13 @@ from agent_framework.openai._responses_client import RawOpenAIResponsesClient from azure.ai.projects.aio import AIProjectClient from azure.ai.projects.models import ( ApproximateLocation, + CodeInterpreterContainerAuto, CodeInterpreterTool, - CodeInterpreterToolAuto, + FoundryFeaturesOptInKeys, ImageGenTool, MCPTool, PromptAgentDefinition, - PromptAgentDefinitionText, + PromptAgentDefinitionTextOptions, RaiConfig, Reasoning, WebSearchPreviewTool, @@ -78,6 +79,9 @@ class AzureAIProjectAgentOptions(OpenAIResponsesOptions, total=False): reasoning: Reasoning # type: ignore[misc] """Configuration for enabling reasoning capabilities (requires azure.ai.projects.models.Reasoning).""" + foundry_features: FoundryFeaturesOptInKeys | str + """Optional Foundry preview feature opt-in for agent version creation.""" + AzureAIClientOptionsT = TypeVar( "AzureAIClientOptionsT", @@ -392,7 +396,7 @@ class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[ # response_format is accessed from chat_options or additional_properties # since the base class excludes it from run_options if chat_options and (response_format := chat_options.get("response_format")): - args["text"] = PromptAgentDefinitionText(format=create_text_format_config(response_format)) + args["text"] = PromptAgentDefinitionTextOptions(format=create_text_format_config(response_format)) # Combine instructions from messages and options # instructions is accessed from chat_options since the base class excludes it from run_options @@ -404,11 +408,15 @@ class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[ if combined_instructions: args["instructions"] = "".join(combined_instructions) - created_agent = await self.project_client.agents.create_version( - agent_name=self.agent_name, - definition=PromptAgentDefinition(**args), - description=self.agent_description, - ) + create_version_kwargs: dict[str, Any] = { + "agent_name": self.agent_name, + "definition": PromptAgentDefinition(**args), + "description": self.agent_description, + } + if foundry_features := run_options.get("foundry_features"): + create_version_kwargs["foundry_features"] = foundry_features + + created_agent = await self.project_client.agents.create_version(**create_version_kwargs) self.agent_version = created_agent.version self.warn_runtime_tools_and_structure_changed = True @@ -500,6 +508,7 @@ class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[ "temperature": ("temperature",), "top_p": ("top_p",), "reasoning": ("reasoning",), + "foundry_features": ("foundry_features",), } for run_keys in agent_level_option_to_run_keys.values(): @@ -526,9 +535,9 @@ class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[ run_options["input"] = self._transform_input_for_azure_ai(cast(list[dict[str, Any]], run_options["input"])) if not self._is_application_endpoint: - # Application-scoped response APIs do not support "agent" property. + # Application-scoped response APIs do not support "agent_reference" property. agent_reference = await self._get_agent_reference_or_create(run_options, instructions, options) - run_options["extra_body"] = {"agent": agent_reference} + run_options["extra_body"] = {"agent_reference": agent_reference} # Remove only keys that map to this client's declared options TypedDict. self._remove_agent_level_run_options(run_options, options) @@ -922,7 +931,7 @@ class RawAzureAIClient(RawOpenAIResponsesClient[AzureAIClientOptionsT], Generic[ if file_ids is None and isinstance(container, dict): file_ids = container.get("file_ids") resolved = resolve_file_ids(file_ids) - tool_container = CodeInterpreterToolAuto(file_ids=resolved) + tool_container = CodeInterpreterContainerAuto(file_ids=resolved) return CodeInterpreterTool(container=tool_container, **kwargs) @staticmethod diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py b/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py index eba210ff10..d02eb31bb6 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_foundry_memory_provider.py @@ -18,7 +18,6 @@ from agent_framework._sessions import AgentSession, BaseContextProvider, Session from agent_framework._settings import load_settings from agent_framework.azure._entra_id_authentication import AzureCredentialTypes from azure.ai.projects.aio import AIProjectClient -from azure.ai.projects.models import ItemParam, ResponsesAssistantMessageItemParam, ResponsesUserMessageItemParam from ._shared import AzureAISettings @@ -149,7 +148,7 @@ class FoundryMemoryProvider(BaseContextProvider): # On first run, retrieve static memories (user profile memories) if not state.get("initialized"): try: - static_search_result = await self.project_client.memory_stores.search_memories( + static_search_result = await self.project_client.beta.memory_stores.search_memories( name=self.memory_store_name, scope=self.scope or context.session_id, # type: ignore[arg-type] ) @@ -169,15 +168,15 @@ class FoundryMemoryProvider(BaseContextProvider): if not has_input: return - # Convert input messages to ItemParam format for search + # Convert input messages to memory search item format items = [ - ItemParam({"type": "text", "text": msg.text}) + {"type": "text", "text": msg.text} for msg in context.input_messages if msg and msg.text and msg.text.strip() ] try: - search_result = await self.project_client.memory_stores.search_memories( + search_result = await self.project_client.beta.memory_stores.search_memories( name=self.memory_store_name, scope=self.scope or context.session_id, # type: ignore[arg-type] items=items, @@ -224,24 +223,24 @@ class FoundryMemoryProvider(BaseContextProvider): if context.response and context.response.messages: messages_to_store.extend(context.response.messages) - # Filter and convert messages to ItemParam format - items: list[ResponsesUserMessageItemParam | ResponsesAssistantMessageItemParam] = [] + # Filter and convert messages to memory update item format + items: list[dict[str, str]] = [] for message in messages_to_store: if message.role in {"user", "assistant", "system"} and message.text and message.text.strip(): if message.role == "user": - items.append(ResponsesUserMessageItemParam(content=message.text)) + items.append({"role": "user", "type": "message", "content": message.text}) elif message.role == "assistant": - items.append(ResponsesAssistantMessageItemParam(content=message.text)) + items.append({"role": "assistant", "type": "message", "content": message.text}) if not items: return try: # Fire and forget - don't wait for the update to complete - update_poller = await self.project_client.memory_stores.begin_update_memories( + update_poller = await self.project_client.beta.memory_stores.begin_update_memories( name=self.memory_store_name, scope=self.scope or context.session_id, # type: ignore[arg-type] - items=items, # type: ignore[arg-type] + items=items, previous_update_id=state.get("previous_update_id"), update_delay=self.update_delay, ) diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py index 81276d446b..d6b922db91 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_project_provider.py @@ -4,7 +4,7 @@ from __future__ import annotations import logging import sys -from collections.abc import Callable, MutableMapping, Sequence +from collections.abc import Callable, Mapping, MutableMapping, Sequence from typing import Any, Generic from agent_framework import ( @@ -21,10 +21,9 @@ from agent_framework._tools import ToolTypes from agent_framework.azure._entra_id_authentication import AzureCredentialTypes from azure.ai.projects.aio import AIProjectClient from azure.ai.projects.models import ( - AgentReference, AgentVersionDetails, PromptAgentDefinition, - PromptAgentDefinitionText, + PromptAgentDefinitionTextOptions, ) from azure.ai.projects.models import ( FunctionTool as AzureFunctionTool, @@ -200,13 +199,14 @@ class AzureAIProjectAgentProvider(Generic[OptionsCoT]): response_format = opts.get("response_format") rai_config = opts.get("rai_config") reasoning = opts.get("reasoning") + foundry_features = opts.get("foundry_features") args: dict[str, Any] = {"model": resolved_model} if instructions: args["instructions"] = instructions if response_format and isinstance(response_format, (type, dict)): - args["text"] = PromptAgentDefinitionText( + args["text"] = PromptAgentDefinitionTextOptions( format=create_text_format_config(response_format) # type: ignore[arg-type] ) if rai_config: @@ -241,11 +241,15 @@ class AzureAIProjectAgentProvider(Generic[OptionsCoT]): if all_tools_for_azure: args["tools"] = to_azure_ai_tools(all_tools_for_azure) - created_agent = await self._project_client.agents.create_version( - agent_name=name, - definition=PromptAgentDefinition(**args), - description=description, - ) + create_version_kwargs: dict[str, Any] = { + "agent_name": name, + "definition": PromptAgentDefinition(**args), + "description": description, + } + if foundry_features: + create_version_kwargs["foundry_features"] = foundry_features + + created_agent = await self._project_client.agents.create_version(**create_version_kwargs) return self._to_chat_agent_from_details( created_agent, @@ -259,7 +263,7 @@ class AzureAIProjectAgentProvider(Generic[OptionsCoT]): self, *, name: str | None = None, - reference: AgentReference | None = None, + reference: Mapping[str, str | None] | None = None, tools: ToolTypes | Callable[..., Any] | Sequence[ToolTypes | Callable[..., Any]] | None = None, default_options: OptionsCoT | None = None, middleware: Sequence[MiddlewareTypes] | None = None, @@ -272,7 +276,7 @@ class AzureAIProjectAgentProvider(Generic[OptionsCoT]): Args: name: The name of the agent to retrieve (fetches latest version). - reference: Reference containing the agent's name and optionally a specific version. + reference: Mapping containing the agent's ``name`` and optionally a specific ``version``. tools: Tools to make available to the agent. Required if the agent has function tools. default_options: A TypedDict containing default chat options for the agent. These options are applied to every run unless overridden. @@ -287,12 +291,15 @@ class AzureAIProjectAgentProvider(Generic[OptionsCoT]): """ existing_agent: AgentVersionDetails - if reference and reference.version: + reference_name = str(reference.get("name")) if reference and reference.get("name") else None + reference_version = str(reference.get("version")) if reference and reference.get("version") else None + + if reference_name and reference_version: # Fetch specific version existing_agent = await self._project_client.agents.get_version( - agent_name=reference.name, agent_version=reference.version + agent_name=reference_name, agent_version=reference_version ) - elif agent_name := (reference.name if reference else name): + elif agent_name := (reference_name if reference_name else name): # Fetch latest version details = await self._project_client.agents.get(agent_name=agent_name) existing_agent = details.versions.latest diff --git a/python/packages/azure-ai/agent_framework_azure_ai/_shared.py b/python/packages/azure-ai/agent_framework_azure_ai/_shared.py index dd0486df9e..6f7d39c3be 100644 --- a/python/packages/azure-ai/agent_framework_azure_ai/_shared.py +++ b/python/packages/azure-ai/agent_framework_azure_ai/_shared.py @@ -19,9 +19,9 @@ from azure.ai.agents.models import ( from azure.ai.projects.models import ( CodeInterpreterTool, MCPTool, - ResponseTextFormatConfigurationJsonObject, - ResponseTextFormatConfigurationJsonSchema, - ResponseTextFormatConfigurationText, + TextResponseFormatConfigurationResponseFormatJsonObject, + TextResponseFormatConfigurationResponseFormatText, + TextResponseFormatJsonSchema, Tool, WebSearchPreviewTool, ) @@ -463,9 +463,9 @@ def _prepare_mcp_tool_dict_for_azure_ai(tool_dict: dict[str, Any]) -> MCPTool: def create_text_format_config( response_format: type[BaseModel] | Mapping[str, Any], ) -> ( - ResponseTextFormatConfigurationJsonSchema - | ResponseTextFormatConfigurationJsonObject - | ResponseTextFormatConfigurationText + TextResponseFormatJsonSchema + | TextResponseFormatConfigurationResponseFormatJsonObject + | TextResponseFormatConfigurationResponseFormatText ): """Convert response_format into Azure text format configuration.""" if isinstance(response_format, type) and issubclass(response_format, BaseModel): @@ -473,7 +473,7 @@ def create_text_format_config( # Ensure additionalProperties is explicitly false to satisfy Azure validation if isinstance(schema, dict): schema.setdefault("additionalProperties", False) - return ResponseTextFormatConfigurationJsonSchema( + return TextResponseFormatJsonSchema( name=response_format.__name__, schema=schema, strict=True, @@ -494,11 +494,11 @@ def create_text_format_config( config_kwargs["strict"] = format_config["strict"] if "description" in format_config: config_kwargs["description"] = format_config["description"] - return ResponseTextFormatConfigurationJsonSchema(**config_kwargs) + return TextResponseFormatJsonSchema(**config_kwargs) if format_type == "json_object": - return ResponseTextFormatConfigurationJsonObject() + return TextResponseFormatConfigurationResponseFormatJsonObject() if format_type == "text": - return ResponseTextFormatConfigurationText() + return TextResponseFormatConfigurationResponseFormatText() raise IntegrationInvalidRequestException("response_format must be a Pydantic model or mapping.") diff --git a/python/packages/azure-ai/tests/test_azure_ai_client.py b/python/packages/azure-ai/tests/test_azure_ai_client.py index a62cd5628f..e2145618c0 100644 --- a/python/packages/azure-ai/tests/test_azure_ai_client.py +++ b/python/packages/azure-ai/tests/test_azure_ai_client.py @@ -28,12 +28,12 @@ from agent_framework.openai._responses_client import RawOpenAIResponsesClient from azure.ai.projects.aio import AIProjectClient from azure.ai.projects.models import ( ApproximateLocation, + CodeInterpreterContainerAuto, CodeInterpreterTool, - CodeInterpreterToolAuto, FileSearchTool, ImageGenTool, MCPTool, - ResponseTextFormatConfigurationJsonSchema, + TextResponseFormatJsonSchema, WebSearchPreviewTool, ) from azure.core.exceptions import ResourceNotFoundError @@ -427,7 +427,7 @@ async def test_prepare_options_basic(mock_project_client: MagicMock) -> None: run_options = await client._prepare_options(messages, {}) assert "extra_body" in run_options - assert run_options["extra_body"]["agent"]["name"] == "test-agent" + assert run_options["extra_body"]["agent_reference"]["name"] == "test-agent" @pytest.mark.parametrize( @@ -465,7 +465,7 @@ async def test_prepare_options_with_application_endpoint( if expects_agent: assert "extra_body" in run_options - assert run_options["extra_body"]["agent"]["name"] == "test-agent" + assert run_options["extra_body"]["agent_reference"]["name"] == "test-agent" else: assert "extra_body" not in run_options @@ -507,7 +507,7 @@ async def test_prepare_options_with_application_project_client( if expects_agent: assert "extra_body" in run_options - assert run_options["extra_body"]["agent"]["name"] == "test-agent" + assert run_options["extra_body"]["agent_reference"]["name"] == "test-agent" else: assert "extra_body" not in run_options @@ -979,10 +979,10 @@ async def test_agent_creation_with_response_format( assert hasattr(created_definition, "text") assert created_definition.text is not None - # Check that the format is a ResponseTextFormatConfigurationJsonSchema + # Check that the format is a TextResponseFormatJsonSchema assert hasattr(created_definition.text, "format") format_config = created_definition.text.format - assert isinstance(format_config, ResponseTextFormatConfigurationJsonSchema) + assert isinstance(format_config, TextResponseFormatJsonSchema) # Check the schema name matches the model class name assert format_config.name == "ResponseFormatModel" @@ -1040,7 +1040,7 @@ async def test_agent_creation_with_mapping_response_format( assert hasattr(created_definition, "text") assert created_definition.text is not None format_config = created_definition.text.format - assert isinstance(format_config, ResponseTextFormatConfigurationJsonSchema) + assert isinstance(format_config, TextResponseFormatJsonSchema) assert format_config.name == runtime_schema["title"] assert format_config.schema == runtime_schema assert format_config.strict is True @@ -1110,7 +1110,7 @@ async def test_prepare_options_excludes_response_format( assert "text_format" not in run_options # But extra_body should contain agent reference assert "extra_body" in run_options - assert run_options["extra_body"]["agent"]["name"] == "test-agent" + assert run_options["extra_body"]["agent_reference"]["name"] == "test-agent" async def test_prepare_options_keeps_values_for_unsupported_option_keys( @@ -1254,7 +1254,7 @@ def test_from_azure_ai_tools_mcp() -> None: def test_from_azure_ai_tools_code_interpreter() -> None: """Test from_azure_ai_tools with Code Interpreter tool.""" - ci_tool = CodeInterpreterTool(container=CodeInterpreterToolAuto(file_ids=["file-1"])) + ci_tool = CodeInterpreterTool(container=CodeInterpreterContainerAuto(file_ids=["file-1"])) parsed_tools = from_azure_ai_tools([ci_tool]) assert len(parsed_tools) == 1 assert parsed_tools[0]["type"] == "code_interpreter" diff --git a/python/packages/azure-ai/tests/test_foundry_memory_provider.py b/python/packages/azure-ai/tests/test_foundry_memory_provider.py index 9c2968a65e..943a528968 100644 --- a/python/packages/azure-ai/tests/test_foundry_memory_provider.py +++ b/python/packages/azure-ai/tests/test_foundry_memory_provider.py @@ -17,9 +17,10 @@ from agent_framework_azure_ai._foundry_memory_provider import FoundryMemoryProvi def mock_project_client() -> AsyncMock: """Create a mock AIProjectClient.""" mock_client = AsyncMock() - mock_client.memory_stores = AsyncMock() - mock_client.memory_stores.search_memories = AsyncMock() - mock_client.memory_stores.begin_update_memories = AsyncMock() + mock_client.beta = AsyncMock() + mock_client.beta.memory_stores = AsyncMock() + mock_client.beta.memory_stores.search_memories = AsyncMock() + mock_client.beta.memory_stores.begin_update_memories = AsyncMock() mock_client.__aenter__ = AsyncMock(return_value=mock_client) mock_client.__aexit__ = AsyncMock() return mock_client @@ -146,7 +147,7 @@ class TestBeforeRun: mem2.memory_item.content = "User is based in Seattle" mock_search_result = Mock() mock_search_result.memories = [mem1, mem2] - mock_project_client.memory_stores.search_memories.return_value = mock_search_result + mock_project_client.beta.memory_stores.search_memories.return_value = mock_search_result provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -161,7 +162,7 @@ class TestBeforeRun: ) # Should call search_memories twice: once for static, once for contextual - assert mock_project_client.memory_stores.search_memories.call_count == 2 + assert mock_project_client.beta.memory_stores.search_memories.call_count == 2 # Static memories should be cached assert len(session.state[provider.source_id]["static_memories"]) == 2 assert session.state[provider.source_id]["initialized"] is True @@ -181,7 +182,7 @@ class TestBeforeRun: contextual_result.memories = [contextual_mem] contextual_result.search_id = "search-123" - mock_project_client.memory_stores.search_memories.side_effect = [static_result, contextual_result] + mock_project_client.beta.memory_stores.search_memories.side_effect = [static_result, contextual_result] provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -208,7 +209,7 @@ class TestBeforeRun: """Empty input messages → only static search performed, no contextual search.""" static_result = Mock() static_result.memories = [] - mock_project_client.memory_stores.search_memories.return_value = static_result + mock_project_client.beta.memory_stores.search_memories.return_value = static_result provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -223,14 +224,14 @@ class TestBeforeRun: ) # Should only call search_memories once for static memories - assert mock_project_client.memory_stores.search_memories.call_count == 1 + assert mock_project_client.beta.memory_stores.search_memories.call_count == 1 assert provider.source_id not in ctx.context_messages async def test_empty_search_results_no_messages(self, mock_project_client: AsyncMock) -> None: """Empty search results → no messages added.""" mock_search_result = Mock() mock_search_result.memories = [] - mock_project_client.memory_stores.search_memories.return_value = mock_search_result + mock_project_client.beta.memory_stores.search_memories.return_value = mock_search_result provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -255,7 +256,7 @@ class TestBeforeRun: contextual_result = Mock() contextual_result.memories = [] - mock_project_client.memory_stores.search_memories.side_effect = [static_result, contextual_result] + mock_project_client.beta.memory_stores.search_memories.side_effect = [static_result, contextual_result] provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -269,24 +270,24 @@ class TestBeforeRun: await provider.before_run( # type: ignore[arg-type] agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {}) ) - assert mock_project_client.memory_stores.search_memories.call_count == 2 + assert mock_project_client.beta.memory_stores.search_memories.call_count == 2 # Reset mock for second call - mock_project_client.memory_stores.search_memories.reset_mock() + mock_project_client.beta.memory_stores.search_memories.reset_mock() contextual_result2 = Mock() contextual_result2.memories = [] - mock_project_client.memory_stores.search_memories.return_value = contextual_result2 + mock_project_client.beta.memory_stores.search_memories.return_value = contextual_result2 # Second call - should only search contextual, not static ctx2 = SessionContext(input_messages=[Message(role="user", text="World")], session_id="s1") await provider.before_run( # type: ignore[arg-type] agent=None, session=session, context=ctx2, state=session.state.setdefault(provider.source_id, {}) ) - assert mock_project_client.memory_stores.search_memories.call_count == 1 + assert mock_project_client.beta.memory_stores.search_memories.call_count == 1 async def test_handles_search_exception_gracefully(self, mock_project_client: AsyncMock) -> None: """Search exception is logged but doesn't fail the operation.""" - mock_project_client.memory_stores.search_memories.side_effect = Exception("API error") + mock_project_client.beta.memory_stores.search_memories.side_effect = Exception("API error") provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -315,7 +316,7 @@ class TestAfterRun: """Stores input+response messages via begin_update_memories.""" mock_poller = Mock() mock_poller.update_id = "update-456" - mock_project_client.memory_stores.begin_update_memories.return_value = mock_poller + mock_project_client.beta.memory_stores.begin_update_memories.return_value = mock_poller provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -330,8 +331,8 @@ class TestAfterRun: agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {}) ) - mock_project_client.memory_stores.begin_update_memories.assert_awaited_once() - call_kwargs = mock_project_client.memory_stores.begin_update_memories.call_args.kwargs + mock_project_client.beta.memory_stores.begin_update_memories.assert_awaited_once() + call_kwargs = mock_project_client.beta.memory_stores.begin_update_memories.call_args.kwargs assert call_kwargs["name"] == "test_store" assert call_kwargs["scope"] == "user_123" assert len(call_kwargs["items"]) == 2 @@ -342,7 +343,7 @@ class TestAfterRun: async def test_only_stores_user_assistant_system(self, mock_project_client: AsyncMock) -> None: """Only stores user/assistant/system messages with text.""" mock_poller = Mock() - mock_project_client.memory_stores.begin_update_memories.return_value = mock_poller + mock_project_client.beta.memory_stores.begin_update_memories.return_value = mock_poller provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -363,7 +364,7 @@ class TestAfterRun: agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {}) ) - call_kwargs = mock_project_client.memory_stores.begin_update_memories.call_args.kwargs + call_kwargs = mock_project_client.beta.memory_stores.begin_update_memories.call_args.kwargs items = call_kwargs["items"] assert len(items) == 2 assert items[0]["content"] == "hello" @@ -390,12 +391,12 @@ class TestAfterRun: agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {}) ) - mock_project_client.memory_stores.begin_update_memories.assert_not_awaited() + mock_project_client.beta.memory_stores.begin_update_memories.assert_not_awaited() async def test_uses_configured_update_delay(self, mock_project_client: AsyncMock) -> None: """Uses the configured update_delay parameter.""" mock_poller = Mock() - mock_project_client.memory_stores.begin_update_memories.return_value = mock_poller + mock_project_client.beta.memory_stores.begin_update_memories.return_value = mock_poller provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -411,7 +412,7 @@ class TestAfterRun: agent=None, session=session, context=ctx, state=session.state.setdefault(provider.source_id, {}) ) - call_kwargs = mock_project_client.memory_stores.begin_update_memories.call_args.kwargs + call_kwargs = mock_project_client.beta.memory_stores.begin_update_memories.call_args.kwargs assert call_kwargs["update_delay"] == 60 async def test_uses_previous_update_id_for_incremental_updates(self, mock_project_client: AsyncMock) -> None: @@ -421,7 +422,7 @@ class TestAfterRun: mock_poller2 = Mock() mock_poller2.update_id = "update-2" - mock_project_client.memory_stores.begin_update_memories.side_effect = [mock_poller1, mock_poller2] + mock_project_client.beta.memory_stores.begin_update_memories.side_effect = [mock_poller1, mock_poller2] provider = FoundryMemoryProvider( project_client=mock_project_client, @@ -446,13 +447,13 @@ class TestAfterRun: agent=None, session=session, context=ctx2, state=session.state.setdefault(provider.source_id, {}) ) - call_kwargs = mock_project_client.memory_stores.begin_update_memories.call_args.kwargs + call_kwargs = mock_project_client.beta.memory_stores.begin_update_memories.call_args.kwargs assert call_kwargs["previous_update_id"] == "update-1" assert session.state[provider.source_id]["previous_update_id"] == "update-2" async def test_handles_update_exception_gracefully(self, mock_project_client: AsyncMock) -> None: """Update exception is logged but doesn't fail the operation.""" - mock_project_client.memory_stores.begin_update_memories.side_effect = Exception("API error") + mock_project_client.beta.memory_stores.begin_update_memories.side_effect = Exception("API error") provider = FoundryMemoryProvider( project_client=mock_project_client, diff --git a/python/packages/azure-ai/tests/test_provider.py b/python/packages/azure-ai/tests/test_provider.py index 3765f17f1c..cb312983d4 100644 --- a/python/packages/azure-ai/tests/test_provider.py +++ b/python/packages/azure-ai/tests/test_provider.py @@ -8,7 +8,6 @@ from agent_framework import Agent, FunctionTool from agent_framework._mcp import MCPTool from azure.ai.projects.aio import AIProjectClient from azure.ai.projects.models import ( - AgentReference, AgentVersionDetails, PromptAgentDefinition, ) @@ -345,7 +344,7 @@ async def test_provider_get_agent_with_reference(mock_project_client: MagicMock) mock_project_client.agents = AsyncMock() mock_project_client.agents.get_version.return_value = mock_agent_version - agent_reference = AgentReference(name="test-agent", version="1.0") + agent_reference = {"name": "test-agent", "version": "1.0"} agent = await provider.get_agent(reference=agent_reference) assert isinstance(agent, Agent) diff --git a/python/packages/core/pyproject.toml b/python/packages/core/pyproject.toml index b16ec09ad8..7f71f48de6 100644 --- a/python/packages/core/pyproject.toml +++ b/python/packages/core/pyproject.toml @@ -34,8 +34,7 @@ dependencies = [ # connectors and functions "openai>=1.99.0", "azure-identity>=1,<2", - # Pinned to 2.0.0b3 - breaking changes in 2.0.0b4, unpin once upgrades complete - "azure-ai-projects == 2.0.0b3", + "azure-ai-projects == 2.0.0b4", "mcp[ws]>=1.24.0,<2", "packaging>=24.1", ] diff --git a/python/samples/02-agents/context_providers/azure_ai_foundry_memory.py b/python/samples/02-agents/context_providers/azure_ai_foundry_memory.py index f31e01ea1c..f7662d1e2f 100644 --- a/python/samples/02-agents/context_providers/azure_ai_foundry_memory.py +++ b/python/samples/02-agents/context_providers/azure_ai_foundry_memory.py @@ -61,7 +61,7 @@ async def main() -> None: print(f"Creating memory store '{memory_store_name}'...") try: # Create a memory store - memory_store = await project_client.memory_stores.create( + memory_store = await project_client.beta.memory_stores.create( name=memory_store_name, description="Memory store for Agent Framework with FoundryMemoryProvider", definition=memory_store_definition, @@ -126,7 +126,7 @@ async def main() -> None: print(f"Agent: {result3}\n") print(f"Stored memories from: {memory_store.name} ({memory_store.id})") - res = await project_client.memory_stores.search_memories(name=memory_store.name, scope="user_123") + res = await project_client.beta.memory_stores.search_memories(name=memory_store.name, scope="user_123") for memory in res.memories: print(f"Memory: {memory.memory_item.content}") @@ -134,7 +134,7 @@ async def main() -> None: print(f"An error occurred: {e}") finally: - await project_client.memory_stores.delete(memory_store_name) + await project_client.beta.memory_stores.delete(memory_store_name) print("==========================================") print("Memory store deleted") diff --git a/python/samples/02-agents/providers/azure_ai/azure_ai_provider_methods.py b/python/samples/02-agents/providers/azure_ai/azure_ai_provider_methods.py index e08dfcc1bc..9efa5592c7 100644 --- a/python/samples/02-agents/providers/azure_ai/azure_ai_provider_methods.py +++ b/python/samples/02-agents/providers/azure_ai/azure_ai_provider_methods.py @@ -8,7 +8,7 @@ from typing import Annotated from agent_framework import tool from agent_framework.azure import AzureAIProjectAgentProvider from azure.ai.projects.aio import AIProjectClient -from azure.ai.projects.models import AgentReference, PromptAgentDefinition +from azure.ai.projects.models import PromptAgentDefinition from azure.identity.aio import AzureCliCredential from dotenv import load_dotenv from pydantic import Field @@ -116,7 +116,7 @@ async def get_agent_by_name_example() -> None: async def get_agent_by_reference_example() -> None: """Example of using provider.get_agent(reference=...) to retrieve a specific agent version. - This method fetches a specific version of an agent using an AgentReference. + This method fetches a specific version of an agent using a reference mapping. Use this when you need to use a particular version of an agent. """ print("=== provider.get_agent(reference=...) Example ===") @@ -136,9 +136,9 @@ async def get_agent_by_reference_example() -> None: ) try: - # Get the agent using an AgentReference with specific version + # Get the agent using a reference mapping with specific version provider = AzureAIProjectAgentProvider(project_client=project_client) - reference = AgentReference(name=created_agent.name, version=created_agent.version) + reference = {"name": created_agent.name, "version": created_agent.version} agent = await provider.get_agent(reference=reference) print(f"Retrieved agent: {agent.name} (version via reference)") diff --git a/python/samples/02-agents/providers/azure_ai/azure_ai_with_memory_search.py b/python/samples/02-agents/providers/azure_ai/azure_ai_with_memory_search.py index 2d1cb43c30..9377a78214 100644 --- a/python/samples/02-agents/providers/azure_ai/azure_ai_with_memory_search.py +++ b/python/samples/02-agents/providers/azure_ai/azure_ai_with_memory_search.py @@ -43,7 +43,7 @@ async def main() -> None: options=MemoryStoreDefaultOptions(user_profile_enabled=True, chat_summary_enabled=True), ) - memory_store = await project_client.memory_stores.create( + memory_store = await project_client.beta.memory_stores.create( name=memory_store_name, description="Memory store for Agent Framework conversations", definition=memory_store_definition, @@ -57,7 +57,7 @@ async def main() -> None: instructions="""You are a helpful assistant that remembers past conversations. Use the memory search tool to recall relevant information from previous interactions.""", tools={ - "type": "memory_search", + "type": "memory_search_preview", "memory_store_name": memory_store.name, "scope": "user_123", "update_delay": 1, # Wait 1 second before updating memories (use higher value in production) @@ -84,7 +84,7 @@ async def main() -> None: # Clean up - delete the memory store async with AIProjectClient(endpoint=endpoint, credential=credential) as project_client: - await project_client.memory_stores.delete(memory_store_name) + await project_client.beta.memory_stores.delete(memory_store_name) print("Memory store deleted") diff --git a/python/uv.lock b/python/uv.lock index 15b3f18c46..415aa04f2b 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -401,7 +401,7 @@ requires-dist = [ { name = "agent-framework-orchestrations", marker = "extra == 'all'", editable = "packages/orchestrations" }, { name = "agent-framework-purview", marker = "extra == 'all'", editable = "packages/purview" }, { name = "agent-framework-redis", marker = "extra == 'all'", editable = "packages/redis" }, - { name = "azure-ai-projects", specifier = "==2.0.0b3" }, + { name = "azure-ai-projects", specifier = "==2.0.0b4" }, { name = "azure-identity", specifier = ">=1,<2" }, { name = "mcp", extras = ["ws"], specifier = ">=1.24.0,<2" }, { name = "openai", specifier = ">=1.99.0" }, @@ -1014,7 +1014,7 @@ wheels = [ [[package]] name = "azure-ai-projects" -version = "2.0.0b3" +version = "2.0.0b4" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "azure-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -1022,10 +1022,11 @@ dependencies = [ { name = "azure-storage-blob", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "isodate", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/24/e0/3512d3f07e9dd2eb4af684387c31598c435bd87833b6a81850972963cb9c/azure_ai_projects-2.0.0b3.tar.gz", hash = "sha256:6d09ad110086e450a47b991ee8a3644f1be97fa3085d5981d543f900d78f4505", size = 431749, upload-time = "2026-01-06T05:31:25.849Z" } +sdist = { url = "https://files.pythonhosted.org/packages/24/e9/1cb8e95a19fbf174cfd7b30368a011b3e17503928b7801b8d9129b7cc59b/azure_ai_projects-2.0.0b4.tar.gz", hash = "sha256:b6082eacf0a11db59ad4c48cb7962f5204b9a0391000bc22421236f229ff783a", size = 477764, upload-time = "2026-02-24T17:57:52.489Z" } wheels = [ - { url = "https://files.pythonhosted.org/packages/4e/b6/8fbd4786bb5c0dd19eaff86ddce0fbfb53a6f90d712038272161067a076a/azure_ai_projects-2.0.0b3-py3-none-any.whl", hash = "sha256:3b3048a3ba3904d556ba392b7bd20b6e84c93bb39df6d43a6470cdb0ad08af8c", size = 240717, upload-time = "2026-01-06T05:31:27.716Z" }, + { url = "https://files.pythonhosted.org/packages/27/6e/6445d510a8cb6a54f57e4344c14d825c37c5146fa69ccf9d9d15a29d23e2/azure_ai_projects-2.0.0b4-py3-none-any.whl", hash = "sha256:f4cf1615bd815744ddce304b97eea9456b7f6f0bd8725547c4e54e3a67534635", size = 231920, upload-time = "2026-02-24T17:57:53.917Z" }, ] [[package]] @@ -1408,7 +1409,7 @@ name = "clr-loader" version = "0.2.10" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "cffi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "cffi", marker = "(python_full_version < '3.14' and sys_platform == 'darwin') or (python_full_version < '3.14' and sys_platform == 'linux') or (python_full_version < '3.14' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/18/24/c12faf3f61614b3131b5c98d3bf0d376b49c7feaa73edca559aeb2aee080/clr_loader-0.2.10.tar.gz", hash = "sha256:81f114afbc5005bafc5efe5af1341d400e22137e275b042a8979f3feb9fc9446", size = 83605, upload-time = "2026-01-03T23:13:06.984Z" } wheels = [ @@ -1887,7 +1888,7 @@ name = "exceptiongroup" version = "1.3.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "typing-extensions", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" }, + { name = "typing-extensions", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" } wheels = [ @@ -4654,8 +4655,8 @@ name = "powerfx" version = "0.0.34" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "cffi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "pythonnet", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "cffi", marker = "(python_full_version < '3.14' and sys_platform == 'darwin') or (python_full_version < '3.14' and sys_platform == 'linux') or (python_full_version < '3.14' and sys_platform == 'win32')" }, + { name = "pythonnet", marker = "(python_full_version < '3.14' and sys_platform == 'darwin') or (python_full_version < '3.14' and sys_platform == 'linux') or (python_full_version < '3.14' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/9f/fb/6c4bf87e0c74ca1c563921ce89ca1c5785b7576bca932f7255cdf81082a7/powerfx-0.0.34.tar.gz", hash = "sha256:956992e7afd272657ed16d80f4cad24ec95d9e4a79fb9dfa4a068a09e136af32", size = 3237555, upload-time = "2025-12-22T15:50:59.682Z" } wheels = [ @@ -5318,7 +5319,7 @@ name = "pythonnet" version = "3.0.5" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "clr-loader", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "clr-loader", marker = "(python_full_version < '3.14' and sys_platform == 'darwin') or (python_full_version < '3.14' and sys_platform == 'linux') or (python_full_version < '3.14' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/9a/d6/1afd75edd932306ae9bd2c2d961d603dc2b52fcec51b04afea464f1f6646/pythonnet-3.0.5.tar.gz", hash = "sha256:48e43ca463941b3608b32b4e236db92d8d40db4c58a75ace902985f76dac21cf", size = 239212, upload-time = "2024-12-13T08:30:44.393Z" } wheels = [ From b0ac3939c15bd7763b60d5c5ebd5209f79c9367a Mon Sep 17 00:00:00 2001 From: Giles Odigwe <79032838+giles17@users.noreply.github.com> Date: Tue, 3 Mar 2026 16:21:01 -0800 Subject: [PATCH 46/59] 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> --- .../packages/core/agent_framework/_agents.py | 3 +- .../packages/core/tests/core/test_agents.py | 43 +++++++++++++++++++ 2 files changed, 45 insertions(+), 1 deletion(-) diff --git a/python/packages/core/agent_framework/_agents.py b/python/packages/core/agent_framework/_agents.py index 8f477f9223..cd2dc7bfc7 100644 --- a/python/packages/core/agent_framework/_agents.py +++ b/python/packages/core/agent_framework/_agents.py @@ -1051,10 +1051,11 @@ class RawAgent(BaseAgent, Generic[OptionsCoT]): # type: ignore[misc] else: final_tools.append(tool) # type: ignore + existing_names = {name for t in final_tools if (name := _get_tool_name(t)) is not None} for mcp_server in self.mcp_tools: if not mcp_server.is_connected: await self._async_exit_stack.enter_async_context(mcp_server) - final_tools.extend(mcp_server.functions) + final_tools.extend(f for f in mcp_server.functions if f.name not in existing_names) # Merge runtime kwargs into additional_function_arguments so they're available # in function middleware context and tool invocation. diff --git a/python/packages/core/tests/core/test_agents.py b/python/packages/core/tests/core/test_agents.py index a857682fe2..c8d2d9bf8b 100644 --- a/python/packages/core/tests/core/test_agents.py +++ b/python/packages/core/tests/core/test_agents.py @@ -755,6 +755,49 @@ async def test_chat_agent_with_local_mcp_tools(client: SupportsChatGetResponse) pass +async def test_mcp_tools_not_duplicated_when_passed_as_runtime_tools(chat_client_base: Any) -> None: + """Test that MCP tool functions from self.mcp_tools are not duplicated when already present in runtime tools.""" + captured_options: list[dict[str, Any]] = [] + + original_inner = chat_client_base._inner_get_response + + async def capturing_inner( + *, messages: MutableSequence[Message], options: dict[str, Any], **kwargs: Any + ) -> ChatResponse: + captured_options.append(dict(options)) + return await original_inner(messages=messages, options=options, **kwargs) + + chat_client_base._inner_get_response = capturing_inner + + # Create FunctionTool instances that simulate expanded MCP functions + mcp_func_a = FunctionTool(func=lambda: "a", name="tool_a", description="Tool A") + mcp_func_b = FunctionTool(func=lambda: "b", name="tool_b", description="Tool B") + + # Create a mock MCP tool that is already connected (simulates turn 2) + mock_mcp_tool = MagicMock(spec=MCPTool) + mock_mcp_tool.is_connected = True + mock_mcp_tool.functions = [mcp_func_a, mcp_func_b] + mock_mcp_tool.__aenter__ = AsyncMock(return_value=mock_mcp_tool) + mock_mcp_tool.__aexit__ = AsyncMock(return_value=None) + + # Agent has the MCP tool in its constructor (stored in self.mcp_tools) + agent = Agent(client=chat_client_base, name="TestAgent", tools=[mock_mcp_tool]) + + # Simulate AG-UI turn 2: pass already-expanded MCP functions + a client tool as runtime tools + client_tool = FunctionTool(func=lambda: "client", name="client_tool", description="Client tool") + runtime_tools = [mcp_func_a, mcp_func_b, client_tool] + + await agent.run("hello", tools=runtime_tools) + + # Verify the chat client received each tool exactly once + assert len(captured_options) >= 1 + tool_names = [t.name for t in captured_options[0]["tools"]] + assert tool_names.count("tool_a") == 1, f"tool_a duplicated: {tool_names}" + assert tool_names.count("tool_b") == 1, f"tool_b duplicated: {tool_names}" + assert "client_tool" in tool_names + assert len(tool_names) == 3 + + async def test_agent_tool_receives_session_in_kwargs(chat_client_base: Any) -> None: """Verify tool execution receives 'session' inside **kwargs when function is called by client.""" From e3ea71ec2ec03de79481e1b91516af46cceef708 Mon Sep 17 00:00:00 2001 From: Leela Karthik Uttarkar Date: Wed, 4 Mar 2026 05:53:43 +0530 Subject: [PATCH 47/59] fix(anthropic): set role='assistant' on message_start streaming update (#4329) Co-authored-by: Leela Karthik U Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com> --- .../agent_framework_anthropic/_chat_client.py | 1 + .../anthropic/tests/test_anthropic_client.py | 122 ++++++++++++++++++ 2 files changed, 123 insertions(+) diff --git a/python/packages/anthropic/agent_framework_anthropic/_chat_client.py b/python/packages/anthropic/agent_framework_anthropic/_chat_client.py index f9c2b99a6b..8ec2943181 100644 --- a/python/packages/anthropic/agent_framework_anthropic/_chat_client.py +++ b/python/packages/anthropic/agent_framework_anthropic/_chat_client.py @@ -894,6 +894,7 @@ class AnthropicClient( usage_details.append(Content.from_usage(usage_details=details)) return ChatResponseUpdate( + role="assistant", response_id=event.message.id, contents=[ *self._parse_contents_from_anthropic(event.message.content), diff --git a/python/packages/anthropic/tests/test_anthropic_client.py b/python/packages/anthropic/tests/test_anthropic_client.py index 028e49673a..4f86c3eac2 100644 --- a/python/packages/anthropic/tests/test_anthropic_client.py +++ b/python/packages/anthropic/tests/test_anthropic_client.py @@ -1044,6 +1044,128 @@ async def test_inner_get_response_ignores_options_stream_streaming(mock_anthropi assert mock_anthropic_client.beta.messages.create.call_args.kwargs["stream"] is True +def test_process_stream_event_message_start_sets_assistant_role(mock_anthropic_client: MagicMock) -> None: + """Test that message_start streaming event sets role='assistant'. + + This is critical: without role='assistant', _process_update cannot detect + a role boundary between a prior tool message and the new assistant turn, + causing tool_use blocks to collapse into a user-role message and triggering + Anthropic's '`tool_use` blocks can only be in `assistant` messages' error. + """ + client = create_test_anthropic_client(mock_anthropic_client) + + mock_event = MagicMock() + mock_event.type = "message_start" + mock_event.message.id = "msg_abc" + mock_event.message.role = "assistant" + mock_event.message.model = "claude-3-5-sonnet-20241022" + mock_event.message.content = [] + mock_event.message.stop_reason = None + mock_event.message.usage = None + + result = client._process_stream_event(mock_event) + + assert result is not None + assert result.role == "assistant" + + +def test_process_stream_event_message_start_role_prevents_tool_use_collapse() -> None: + """Regression test: tool_use blocks must not end up in a user-role message. + + Simulates two consecutive streaming tool-call iterations: + Iteration 1: assistant emits tool_use → framework appends tool result (role=tool) + Iteration 2: assistant starts a new message_start → must create a NEW message + + Without role='assistant' on the message_start update, _process_update sees + update.role=None (falsy) and appends to the last message (role='tool'), + producing {"role": "user", "content": [tool_result, tool_use]} which + Anthropic rejects with HTTP 400. + """ + from agent_framework import ChatResponse, ChatResponseUpdate, Content, Message + + # Simulate what the streaming tool loop produces after iteration 1: + # an existing 'tool' message is the last in the response + existing_tool_message = Message( + role="tool", + contents=[Content.from_function_result(call_id="call_1", result="some result")], + ) + + response = ChatResponse(messages=[existing_tool_message]) + + # Now simulate the message_start update from iteration 2 — WITH role set + message_start_update = ChatResponseUpdate( + role="assistant", + response_id="msg_iter2", + ) + + # Simulate a content_block_start carrying a tool_use — no role on this one (correct) + tool_use_update = ChatResponseUpdate( + contents=[ + Content.from_function_call( + call_id="call_2", + name="get_weather", + arguments={"location": "NYC"}, + ) + ], + ) + + # Apply updates exactly as from_updates / _process_update would + from agent_framework._types import _process_update + + _process_update(response, message_start_update) + _process_update(response, tool_use_update) + + # Must have TWO messages: the original tool message + a new assistant message + assert len(response.messages) == 2, "tool_use from iteration 2 collapsed into the tool message from iteration 1" + assert response.messages[0].role == "tool" + assert response.messages[1].role == "assistant" + + # The assistant message must contain the tool_use, not the tool result + assert response.messages[1].contents[0].type == "function_call" + assert response.messages[1].contents[0].call_id == "call_2" + + +def test_process_stream_event_message_start_without_role_reproduces_bug() -> None: + """Documents the original bug: missing role causes tool_use to collapse into tool message. + + This test demonstrates WHY the fix (adding role='assistant') was necessary. + It intentionally reproduces the broken behavior when role is absent. + """ + from agent_framework import ChatResponse, ChatResponseUpdate, Content, Message + from agent_framework._types import _process_update + + existing_tool_message = Message( + role="tool", + contents=[Content.from_function_result(call_id="call_1", result="some result")], + ) + response = ChatResponse(messages=[existing_tool_message]) + + # message_start WITHOUT role (the original broken state) + message_start_update = ChatResponseUpdate( + role=None, + response_id="msg_iter2", + ) + tool_use_update = ChatResponseUpdate( + contents=[ + Content.from_function_call( + call_id="call_2", + name="get_weather", + arguments={"location": "NYC"}, + ) + ], + ) + + _process_update(response, message_start_update) + _process_update(response, tool_use_update) + + # BUG: only 1 message — tool_use collapsed into the tool message + assert len(response.messages) == 1, "Expected bug: should still be 1 message without the fix" + # The single message has role='tool' but contains a function_call — invalid for Anthropic API + assert response.messages[0].role == "tool" + has_function_call = any(c.type == "function_call" for c in response.messages[0].contents) + assert has_function_call, "Expected bug: function_call leaked into tool message" + + # Integration Tests From 4dc20c6be404dacdac4d58f6741985b22c87e0b1 Mon Sep 17 00:00:00 2001 From: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Date: Wed, 4 Mar 2026 14:46:16 +0900 Subject: [PATCH 48/59] Python: Fix PowerFx eval crash on non-English system locales by setting CurrentUICulture to en-US (#4408) * Fix #4321: Set CurrentUICulture to en-US in PowerFx eval() On non-English systems, CultureInfo.CurrentUICulture causes PowerFx to emit localized error messages. The existing ValueError guard only matches English strings ("isn't recognized", "Name isn't valid"), so undefined variable errors crash instead of returning None gracefully. Fix: save and restore CurrentUICulture alongside CurrentCulture before calling engine.eval(), ensuring error messages are always in English. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Reuse single CultureInfo instance to avoid redundant allocations Cache CultureInfo("en-US") in a local variable instead of instantiating it twice per eval() call, as suggested in PR review. Fixes #4321 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add assertion for CurrentUICulture restoration after eval Assert that the production code's finally-block correctly restores CurrentUICulture to it-IT after eval returns, covering future regressions where the culture could leak. The CultureInfo caching suggestion (comment #2) was already implemented in the production code. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../_workflows/_declarative_base.py | 6 ++++- .../tests/test_powerfx_yaml_compatibility.py | 25 +++++++++++++++++++ 2 files changed, 30 insertions(+), 1 deletion(-) diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py b/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py index 687dad096b..01a68e6a8e 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py @@ -388,11 +388,15 @@ class DeclarativeWorkflowState: from System.Globalization import CultureInfo original_culture = CultureInfo.CurrentCulture - CultureInfo.CurrentCulture = CultureInfo("en-US") + original_ui_culture = CultureInfo.CurrentUICulture + en_us_culture = CultureInfo("en-US") + CultureInfo.CurrentCulture = en_us_culture + CultureInfo.CurrentUICulture = en_us_culture try: return engine.eval(formula, symbols=symbols) finally: CultureInfo.CurrentCulture = original_culture + CultureInfo.CurrentUICulture = original_ui_culture except ValueError as e: error_msg = str(e) # Handle undefined variable errors gracefully by returning None diff --git a/python/packages/declarative/tests/test_powerfx_yaml_compatibility.py b/python/packages/declarative/tests/test_powerfx_yaml_compatibility.py index 9591dc05cb..8ea3c3af57 100644 --- a/python/packages/declarative/tests/test_powerfx_yaml_compatibility.py +++ b/python/packages/declarative/tests/test_powerfx_yaml_compatibility.py @@ -493,6 +493,31 @@ class TestPowerFxUndefinedVariables: result = state.eval("=Local.Something.Nested.Deep") assert result is None + async def test_undefined_variable_returns_none_with_non_english_ui_culture(self, mock_state): + """Test that undefined variables return None even when CurrentUICulture is non-English. + + Regression test for #4321: on non-English systems, CurrentUICulture causes + PowerFx to emit localized error messages that don't match the English + string guards ("isn't recognized", "Name isn't valid"), crashing the workflow. + The fix sets CurrentUICulture to en-US alongside CurrentCulture before eval. + """ + from System.Globalization import CultureInfo + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + + # Simulate a non-English UI culture (e.g. Italian) + original_ui_culture = CultureInfo.CurrentUICulture + CultureInfo.CurrentUICulture = CultureInfo("it-IT") + try: + # Should return None, not raise ValueError with Italian error text + result = state.eval("=Local.StatusConversationId") + assert result is None + # Verify the production code restored CurrentUICulture after eval + assert str(CultureInfo.CurrentUICulture) == str(CultureInfo("it-IT")) + finally: + CultureInfo.CurrentUICulture = original_ui_culture + class TestStringInterpolation: """Test string interpolation patterns.""" From f788fdc72ba1d594c2fdeb6074b34c31b9a1e805 Mon Sep 17 00:00:00 2001 From: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> Date: Wed, 4 Mar 2026 11:21:05 +0000 Subject: [PATCH 49/59] Disable OpenAIAssistant structured output integration tests (#4451) Skip all three structured output run tests in OpenAIAssistantStructuredOutputRunTests as they fail intermittently on the build agent/CI, matching the pattern already used in AzureAIAgentsPersistentStructuredOutputRunTests. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../OpenAIAssistantStructuredOutputRunTests.cs | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/dotnet/tests/OpenAIAssistant.IntegrationTests/OpenAIAssistantStructuredOutputRunTests.cs b/dotnet/tests/OpenAIAssistant.IntegrationTests/OpenAIAssistantStructuredOutputRunTests.cs index caa42ecc8d..e3b45bd5d2 100644 --- a/dotnet/tests/OpenAIAssistant.IntegrationTests/OpenAIAssistantStructuredOutputRunTests.cs +++ b/dotnet/tests/OpenAIAssistant.IntegrationTests/OpenAIAssistantStructuredOutputRunTests.cs @@ -1,9 +1,23 @@ // Copyright (c) Microsoft. All rights reserved. +using System.Threading.Tasks; using AgentConformance.IntegrationTests; namespace OpenAIAssistant.IntegrationTests; public class OpenAIAssistantStructuredOutputRunTests() : StructuredOutputRunTests(() => new()) { + private const string SkipReason = "Fails intermittently on the build agent/CI"; + + [Fact(Skip = SkipReason)] + public override Task RunWithResponseFormatReturnsExpectedResultAsync() => + base.RunWithResponseFormatReturnsExpectedResultAsync(); + + [Fact(Skip = SkipReason)] + public override Task RunWithGenericTypeReturnsExpectedResultAsync() => + base.RunWithGenericTypeReturnsExpectedResultAsync(); + + [Fact(Skip = SkipReason)] + public override Task RunWithPrimitiveTypeReturnsExpectedResultAsync() => + base.RunWithPrimitiveTypeReturnsExpectedResultAsync(); } From e7961571a8a4aa7685fb0c96d14ab3df2b47b2fe Mon Sep 17 00:00:00 2001 From: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Date: Wed, 4 Mar 2026 11:36:39 +0000 Subject: [PATCH 50/59] .NET: Update Azure.AI.Projects 2.0.0-beta.1 (#4270) * Update Microsoft.Agents.AI.AzureAI for Azure.AI.Projects SDK 2.0.0 - Bump Azure.AI.Projects to 2.0.0-alpha.20260213.1 - Bump Azure.AI.Projects.OpenAI to 2.0.0-alpha.20260213.1 - Bump System.ClientModel to 1.9.0 (transitive dependency) - Switch both GetAgent and CreateAgentVersion to protocol methods with MEAI user-agent policy injection via RequestOptions - Migrate 29 CREATE-path tests from FakeAgentClient to HttpHandlerAssert pattern for real HTTP pipeline testing - Fix StructuredOutputDefinition constructor (BinaryData -> IDictionary) - Fix responses endpoint path (openai/responses -> /responses) - Add local-packages NuGet source for pre-release nupkgs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update Azure.AI.Projects to 2.0.0-beta.1 from NuGet.org - Update Azure.AI.Projects and Azure.AI.Projects.OpenAI to 2.0.0-beta.1 - Remove local-packages NuGet source (packages now on nuget.org) - Fix MemorySearchTool -> MemorySearchPreviewTool rename - Fix RedTeams.CreateAsync ambiguous call - Fix CreateAgentVersion/Async signature change (BinaryData -> string) - Suppress AAIP001 experimental warning for WorkflowAgentDefinition Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Move s_modelWriterOptionsWire field before methods that use it Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix flaky test: prevent spurious workflow_invoke Activity on timeout wake-up The StreamingRunEventStream run loop uses a 1-second timeout on WaitForInputAsync. When the timeout fires before the consumer calls StopAsync, the loop would create a spurious workflow_invoke Activity even though no actual input was provided. This caused the WorkflowRunActivity_IsStopped_Streaming_OffThread_MultiTurnAsync test to intermittently fail (expecting 2 activities but finding 3). Fix: guard the loop body with a HasUnprocessedMessages check. On timeout wake-ups with no work, the loop waits again without creating an activity or changing the run status. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix epoch race condition causing unit tests to hang on net10.0 and net472 The HasUnprocessedMessages guard (previous commit) correctly prevents spurious workflow_invoke Activity creation on timeout wake-ups, but exposed a latent race in the epoch-based signal filtering. The race: when the run loop processes messages quickly and calls Interlocked.Increment(ref _completionEpoch) before the consumer calls TakeEventStreamAsync, the consumer reads the already-incremented epoch and sets myEpoch = epoch + 1. This causes the consumer to skip the valid InternalHaltSignal (its epoch < myEpoch) and block forever waiting for a signal that will never arrive (since the guard prevents spurious signal generation). Fix: read _completionEpoch without +1. The +1 was originally needed to filter stale signals from timeout-driven spurious loop iterations, but those no longer exist thanks to the HasUnprocessedMessages guard. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Revert "Fix epoch race condition causing unit tests to hang on net10.0 and net472" This reverts commit 6ce7f01be83b264ab0113e181beeb409c0eb438e. * Revert "Fix flaky test: prevent spurious workflow_invoke Activity on timeout wake-up" This reverts commit 98963e17f2cee64d4304b9f19e5f4ab380435961. * Skip hanging multi-turn declarative integration tests The ValidateMultiTurnAsync tests (ConfirmInput.yaml, RequestExternalInput.yaml) hang indefinitely in CI, blocking the merge queue. The hang is SDK-independent (reproduces with both Azure.AI.Projects 1.2.0-beta.5 and 2.0.0-beta.1) and is a pre-existing issue in the declarative workflow multi-turn test logic. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove unused using directive in IntegrationTest.cs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Restore Azure.AI.Projects 2.0.0-beta.1 version bump The merge from main accidentally reverted the package versions back to 1.2.0-beta.5. This is the primary change of this PR. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address merge conflict * Skip flaky WorkflowRunActivity_IsStopped_Streaming_OffThread_MultiTurnAsync test Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Skip CheckSystem test cases temporarily Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- dotnet/Directory.Packages.props | 6 +- .../Program.cs | 2 +- .../Program.cs | 2 +- .../Declarative/HostedWorkflow/Program.cs | 2 + .../AzureAIProjectChatClientExtensions.cs | 17 +- .../AnthropicChatCompletionFixture.cs | 2 +- .../AnthropicSkillsIntegrationTests.cs | 2 +- .../CopilotStudioFixture.cs | 2 +- ...AzureAIProjectChatClientExtensionsTests.cs | 192 +++++++++++------- .../AzureAIProjectChatClientTests.cs | 8 +- .../DeclarativeCodeGenTest.cs | 2 +- .../DeclarativeWorkflowTest.cs | 4 +- .../Framework/IntegrationTest.cs | 1 - .../WorkflowRunActivityStopTests.cs | 2 +- 14 files changed, 142 insertions(+), 102 deletions(-) diff --git a/dotnet/Directory.Packages.props b/dotnet/Directory.Packages.props index c052057a58..a44a4d420e 100644 --- a/dotnet/Directory.Packages.props +++ b/dotnet/Directory.Packages.props @@ -19,8 +19,8 @@ - - + + @@ -35,7 +35,7 @@ - + diff --git a/dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/Program.cs b/dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/Program.cs index 60a859c28f..1e1e48d54b 100644 --- a/dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/Program.cs +++ b/dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Evaluations_Step01_RedTeaming/Program.cs @@ -60,7 +60,7 @@ Console.WriteLine(); // Submit the red team run to the service Console.WriteLine("Submitting red team run..."); -RedTeam redTeamRun = await aiProjectClient.RedTeams.CreateAsync(redTeamConfig); +RedTeam redTeamRun = await aiProjectClient.RedTeams.CreateAsync(redTeamConfig, options: null); Console.WriteLine($"Red team run created: {redTeamRun.Name}"); Console.WriteLine($"Status: {redTeamRun.Status}"); diff --git a/dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step22_MemorySearch/Program.cs b/dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step22_MemorySearch/Program.cs index 97eed4e838..836bf1b684 100644 --- a/dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step22_MemorySearch/Program.cs +++ b/dotnet/samples/02-agents/FoundryAgents/FoundryAgents_Step22_MemorySearch/Program.cs @@ -35,7 +35,7 @@ string userScope = $"user_{Environment.MachineName}"; AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential()); // Create the Memory Search tool configuration -MemorySearchTool memorySearchTool = new(memoryStoreName, userScope) +MemorySearchPreviewTool memorySearchTool = new(memoryStoreName, userScope) { // Optional: Configure how quickly new memories are indexed (in seconds) UpdateDelay = 1, diff --git a/dotnet/samples/03-workflows/Declarative/HostedWorkflow/Program.cs b/dotnet/samples/03-workflows/Declarative/HostedWorkflow/Program.cs index 272e83f983..81e2abbafe 100644 --- a/dotnet/samples/03-workflows/Declarative/HostedWorkflow/Program.cs +++ b/dotnet/samples/03-workflows/Declarative/HostedWorkflow/Program.cs @@ -88,7 +88,9 @@ internal sealed class Program { string workflowYaml = File.ReadAllText("MathChat.yaml"); +#pragma warning disable AAIP001 // WorkflowAgentDefinition is experimental WorkflowAgentDefinition workflowAgentDefinition = WorkflowAgentDefinition.FromYaml(workflowYaml); +#pragma warning restore AAIP001 return await agentClient.CreateAgentAsync( diff --git a/dotnet/src/Microsoft.Agents.AI.AzureAI/AzureAIProjectChatClientExtensions.cs b/dotnet/src/Microsoft.Agents.AI.AzureAI/AzureAIProjectChatClientExtensions.cs index a190f4b154..5d2c67695f 100644 --- a/dotnet/src/Microsoft.Agents.AI.AzureAI/AzureAIProjectChatClientExtensions.cs +++ b/dotnet/src/Microsoft.Agents.AI.AzureAI/AzureAIProjectChatClientExtensions.cs @@ -39,7 +39,7 @@ public static partial class AzureAIProjectChatClientExtensions /// The agent with the specified name was not found. /// /// When instantiating a by using an , minimal information will be available about the agent in the instance level, and any logic that relies - /// on to retrieve information about the agent like will receive as the result. + /// on to retrieve information about the agent like will receive as the result. /// public static ChatClientAgent AsAIAgent( this AIProjectClient aiProjectClient, @@ -355,28 +355,27 @@ public static partial class AzureAIProjectChatClientExtensions private static readonly ModelReaderWriterOptions s_modelWriterOptionsWire = new("W"); /// - /// Asynchronously retrieves an agent record by name using the Protocol method with user-agent header. + /// Asynchronously retrieves an agent record by name using the protocol method to inject user-agent headers. /// private static async Task GetAgentRecordByNameAsync(AIProjectClient aiProjectClient, string agentName, CancellationToken cancellationToken) { ClientResult protocolResponse = await aiProjectClient.Agents.GetAgentAsync(agentName, cancellationToken.ToRequestOptions(false)).ConfigureAwait(false); var rawResponse = protocolResponse.GetRawResponse(); AgentRecord? result = ModelReaderWriter.Read(rawResponse.Content, s_modelWriterOptionsWire, AzureAIProjectsOpenAIContext.Default); - return ClientResult.FromOptionalValue(result, rawResponse).Value! - ?? throw new InvalidOperationException($"Agent with name '{agentName}' not found."); + return result ?? throw new InvalidOperationException($"Agent with name '{agentName}' not found."); } /// - /// Asynchronously creates an agent version using the Protocol method with user-agent header. + /// Asynchronously creates an agent version using the protocol method to inject user-agent headers. /// private static async Task CreateAgentVersionWithProtocolAsync(AIProjectClient aiProjectClient, string agentName, AgentVersionCreationOptions creationOptions, CancellationToken cancellationToken) { - using BinaryContent protocolRequest = BinaryContent.Create(ModelReaderWriter.Write(creationOptions, ModelReaderWriterOptions.Json, AzureAIProjectsContext.Default)); - ClientResult protocolResponse = await aiProjectClient.Agents.CreateAgentVersionAsync(agentName, protocolRequest, cancellationToken.ToRequestOptions(false)).ConfigureAwait(false); - + BinaryData serializedOptions = ModelReaderWriter.Write(creationOptions, s_modelWriterOptionsWire, AzureAIProjectsContext.Default); + BinaryContent content = BinaryContent.Create(serializedOptions); + ClientResult protocolResponse = await aiProjectClient.Agents.CreateAgentVersionAsync(agentName, content, foundryFeatures: null, cancellationToken.ToRequestOptions(false)).ConfigureAwait(false); var rawResponse = protocolResponse.GetRawResponse(); AgentVersion? result = ModelReaderWriter.Read(rawResponse.Content, s_modelWriterOptionsWire, AzureAIProjectsOpenAIContext.Default); - return ClientResult.FromValue(result, rawResponse).Value!; + return result ?? throw new InvalidOperationException($"Failed to create agent version for agent '{agentName}'."); } private static async Task CreateAIAgentAsync( diff --git a/dotnet/tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletionFixture.cs b/dotnet/tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletionFixture.cs index 16bb97d218..bdaaeb85f6 100644 --- a/dotnet/tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletionFixture.cs +++ b/dotnet/tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletionFixture.cs @@ -1,4 +1,4 @@ -// Copyright (c) Microsoft. All rights reserved. +// Copyright (c) Microsoft. All rights reserved. using System.Collections.Generic; using System.Linq; diff --git a/dotnet/tests/AnthropicChatCompletion.IntegrationTests/AnthropicSkillsIntegrationTests.cs b/dotnet/tests/AnthropicChatCompletion.IntegrationTests/AnthropicSkillsIntegrationTests.cs index 50474a1eeb..aada9025fe 100644 --- a/dotnet/tests/AnthropicChatCompletion.IntegrationTests/AnthropicSkillsIntegrationTests.cs +++ b/dotnet/tests/AnthropicChatCompletion.IntegrationTests/AnthropicSkillsIntegrationTests.cs @@ -1,4 +1,4 @@ -// Copyright (c) Microsoft. All rights reserved. +// Copyright (c) Microsoft. All rights reserved. using System.Threading.Tasks; using AgentConformance.IntegrationTests.Support; diff --git a/dotnet/tests/CopilotStudio.IntegrationTests/CopilotStudioFixture.cs b/dotnet/tests/CopilotStudio.IntegrationTests/CopilotStudioFixture.cs index 8dfeba1972..f2f0ce5eb3 100644 --- a/dotnet/tests/CopilotStudio.IntegrationTests/CopilotStudioFixture.cs +++ b/dotnet/tests/CopilotStudio.IntegrationTests/CopilotStudioFixture.cs @@ -1,4 +1,4 @@ -// Copyright (c) Microsoft. All rights reserved. +// Copyright (c) Microsoft. All rights reserved. using System; using System.Collections.Generic; diff --git a/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientExtensionsTests.cs b/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientExtensionsTests.cs index a7b9c54aac..65726bb2aa 100644 --- a/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientExtensionsTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientExtensionsTests.cs @@ -467,7 +467,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithModelAndOptions_CreatesValidAgentAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", instructions: "Test instructions"); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", instructions: "Test instructions"); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -475,7 +475,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - var agent = await client.CreateAIAgentAsync("test-model", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -490,7 +490,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithModelAndOptions_WithClientFactory_AppliesFactoryCorrectlyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", instructions: "Test instructions"); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", instructions: "Test instructions"); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -499,7 +499,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests TestChatClient? testChatClient = null; // Act - var agent = await client.CreateAIAgentAsync( + var agent = await testClient.Client.CreateAIAgentAsync( "test-model", options, clientFactory: (innerClient) => testChatClient = new TestChatClient(innerClient)); @@ -560,12 +560,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithDefinition_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var definition = new PromptAgentDefinition("test-model") { Instructions = "Test" }; var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -582,12 +582,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests var definition = new PromptAgentDefinition("test-model") { Instructions = "Test" }; var definitionResponse = GeneratePromptDefinitionResponse(definition, null); - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: definitionResponse); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -602,12 +602,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests { // Arrange var definition = new PromptAgentDefinition("test-model") { Instructions = "Test" }; - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: definition); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: definition); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -628,12 +628,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests // Create a response definition with the same tool var definitionResponse = GeneratePromptDefinitionResponse(definition, definition.Tools.Select(t => t.AsAITool()).ToList()); - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: definitionResponse); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -667,12 +667,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests definitionResponse.Tools.Add(tool); } - AIProjectClient client = this.CreateTestAgentClient(agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentDefinitionResponse: definitionResponse); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -803,10 +803,10 @@ public sealed class AzureAIProjectChatClientExtensionsTests var definitionResponse = GeneratePromptDefinitionResponse(new PromptAgentDefinition("test-model") { Instructions = "Test instructions" }, tools); - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: definitionResponse); // Act - var agent = await client.CreateAIAgentAsync( + var agent = await testClient.Client.CreateAIAgentAsync( "test-agent", "test-model", "Test instructions", @@ -831,14 +831,14 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithDefinitionTools_CreatesAgentAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var definition = new PromptAgentDefinition("test-model") { Instructions = "Test instructions" }; definition.Tools.Add(ResponseTool.CreateFunctionTool("async_tool", BinaryData.FromString("{}"), strictModeEnabled: false)); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -885,7 +885,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests var sharepointOptions = new SharePointGroundingToolOptions(); sharepointOptions.ProjectConnections.Add(new ToolProjectConnection("connection-id")); - var structuredOutputs = new StructuredOutputDefinition("name", "description", BinaryData.FromString(AIJsonUtilities.CreateJsonSchema(new { id = "test" }.GetType()).ToString()), false); + var structuredOutputs = new StructuredOutputDefinition("name", "description", new Dictionary { ["schema"] = BinaryData.FromString(AIJsonUtilities.CreateJsonSchema(new { id = "test" }.GetType()).ToString()) }, false); // Add tools to the definition definition.Tools.Add(ResponseTool.CreateFunctionTool("create_tool", BinaryData.FromString("{}"), strictModeEnabled: false)); @@ -902,12 +902,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests // Generate agent definition response with the tools var definitionResponse = GeneratePromptDefinitionResponse(definition, definition.Tools.Select(t => t.AsAITool()).ToList()); - AIProjectClient client = this.CreateTestAgentClient(agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentDefinitionResponse: definitionResponse); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -942,12 +942,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests var definitionResponse = new PromptAgentDefinition("test-model") { Instructions = "Test" }; definitionResponse.Tools.Add(functionTool); - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: definitionResponse); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -961,7 +961,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithDeclarativeFunctionFromDefinition_AcceptsDeclarativeFunctionAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var definition = new PromptAgentDefinition("test-model") { Instructions = "Test" }; // Create a declarative function (not invocable) using AIFunctionFactory.CreateDeclaration @@ -974,7 +974,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -1001,12 +1001,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests var definitionResponse = new PromptAgentDefinition("test-model") { Instructions = "Test" }; definitionResponse.Tools.Add(declarativeFunction.AsOpenAIResponseTool() ?? throw new InvalidOperationException()); - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: definitionResponse); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -1027,12 +1027,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests var definition = new PromptAgentDefinition("test-model") { Instructions = "Test instructions" }; var definitionResponse = GeneratePromptDefinitionResponse(definition, null); - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: definitionResponse); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync("test-agent", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-agent", options); // Assert Assert.NotNull(agent); @@ -1083,7 +1083,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests new PromptAgentDefinition("test-model") { Instructions = "Test" }, tools); - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: definitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: definitionResponse); var options = new ChatClientAgentOptions { @@ -1092,7 +1092,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - var agent = await client.CreateAIAgentAsync("test-model", options); + var agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -1278,14 +1278,14 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithClientFactory_ReceivesCorrectUnderlyingClientAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var definition = new PromptAgentDefinition("test-model") { Instructions = "Test" }; IChatClient? receivedClient = null; var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync( + var agent = await testClient.Client.CreateAIAgentAsync( "test-agent", options, clientFactory: (innerClient) => @@ -1340,10 +1340,10 @@ public sealed class AzureAIProjectChatClientExtensionsTests const string AgentName = "test-agent"; const string Model = "test-model"; const string Instructions = "Test instructions"; - AIProjectClient client = this.CreateTestAgentClient(AgentName, Instructions); + using var testClient = CreateTestAgentClientWithHandler(AgentName, Instructions); // Act - var agent = await client.CreateAIAgentAsync( + var agent = await testClient.Client.CreateAIAgentAsync( AgentName, Model, Instructions, @@ -1367,12 +1367,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests var definition = new PromptAgentDefinition("test-model") { Instructions = "Test" }; var agentDefinitionResponse = GeneratePromptDefinitionResponse(definition, null); - AIProjectClient client = this.CreateTestAgentClient(agentName: "test-agent", agentDefinitionResponse: agentDefinitionResponse); + using var testClient = CreateTestAgentClientWithHandler(agentName: "test-agent", agentDefinitionResponse: agentDefinitionResponse); var options = new AgentVersionCreationOptions(definition); // Act - var agent = await client.CreateAIAgentAsync( + var agent = await testClient.Client.CreateAIAgentAsync( "test-agent", options, clientFactory: (innerClient) => new TestChatClient(innerClient)); @@ -1390,7 +1390,8 @@ public sealed class AzureAIProjectChatClientExtensionsTests #region User-Agent Header Tests /// - /// Verifies that the user-agent header is added to both synchronous and asynchronous requests made by agent creation methods. + /// Verifies that the MEAI user-agent header is added to CreateAIAgentAsync POST requests + /// via the protocol method's RequestOptions pipeline policy. /// [Fact] public async Task CreateAIAgentAsync_UserAgentHeaderAddedToRequestsAsync() @@ -1398,9 +1399,12 @@ public sealed class AzureAIProjectChatClientExtensionsTests using var httpHandler = new HttpHandlerAssert(request => { Assert.Equal("POST", request.Method.Method); - Assert.Contains("MEAI", request.Headers.UserAgent.ToString()); - return new HttpResponseMessage(HttpStatusCode.OK) { Content = new StringContent(TestDataUtil.GetAgentResponseJson(), Encoding.UTF8, "application/json") }; + // Verify MEAI user-agent header is present on CreateAgentVersion POST request + Assert.True(request.Headers.TryGetValues("User-Agent", out var userAgentValues)); + Assert.Contains(userAgentValues, v => v.Contains("MEAI")); + + return new HttpResponseMessage(HttpStatusCode.OK) { Content = new StringContent(TestDataUtil.GetAgentVersionResponseJson(), Encoding.UTF8, "application/json") }; }); #pragma warning disable CA5399 @@ -1940,7 +1944,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithTextResponseFormat_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -1952,7 +1956,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -1966,7 +1970,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithJsonResponseFormatWithoutSchema_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -1978,7 +1982,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -1992,7 +1996,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithJsonResponseFormatWithSchema_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); JsonElement schemaElement = AIJsonUtilities.CreateJsonSchema(typeof(TestSchema)); var jsonFormat = ChatResponseFormat.ForJsonSchema(schemaElement, "test_schema", "A test schema"); var options = new ChatClientAgentOptions @@ -2006,7 +2010,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2020,7 +2024,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithJsonResponseFormatWithSchemaAndStrictMode_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); JsonElement schemaElement = AIJsonUtilities.CreateJsonSchema(typeof(TestSchema)); var jsonFormat = ChatResponseFormat.ForJsonSchema(schemaElement, "test_schema", "A test schema"); var additionalProps = new AdditionalPropertiesDictionary @@ -2039,7 +2043,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2053,7 +2057,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithJsonResponseFormatWithSchemaAndStrictModeFalse_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); JsonElement schemaElement = AIJsonUtilities.CreateJsonSchema(typeof(TestSchema)); var jsonFormat = ChatResponseFormat.ForJsonSchema(schemaElement, "test_schema", "A test schema"); var additionalProps = new AdditionalPropertiesDictionary @@ -2072,7 +2076,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2090,7 +2094,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithRawRepresentationFactory_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -2102,7 +2106,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2116,7 +2120,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithRawRepresentationFactoryReturningNull_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -2128,7 +2132,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2142,7 +2146,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithRawRepresentationFactoryReturningNonCreateResponseOptions_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -2154,7 +2158,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2172,7 +2176,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithDescription_SetsDescriptionAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(description: "Test description"); + using var testClient = CreateTestAgentClientWithHandler(description: "Test description"); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -2181,7 +2185,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2195,7 +2199,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithoutDescription_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var options = new ChatClientAgentOptions { Name = "test-agent", @@ -2203,7 +2207,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2688,7 +2692,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests public async Task CreateAIAgentAsync_WithHostedToolTypes_CreatesAgentSuccessfullyAsync() { // Arrange - AIProjectClient client = this.CreateTestAgentClient(); + using var testClient = CreateTestAgentClientWithHandler(); var webSearchTool = new HostedWebSearchTool(); var options = new ChatClientAgentOptions @@ -2702,7 +2706,7 @@ public sealed class AzureAIProjectChatClientExtensionsTests }; // Act - ChatClientAgent agent = await client.CreateAIAgentAsync("test-model", options); + ChatClientAgent agent = await testClient.Client.CreateAIAgentAsync("test-model", options); // Assert Assert.NotNull(agent); @@ -2855,6 +2859,54 @@ public sealed class AzureAIProjectChatClientExtensionsTests return new FakeAgentClient(agentName, instructions, description, agentDefinitionResponse); } + /// + /// Creates a test AIProjectClient backed by an HTTP handler that returns canned responses. + /// Used for tests that exercise the protocol-method code path (CreateAgentVersion). + /// The returned client must be disposed to clean up the underlying HttpClient/handler. + /// + private static DisposableTestClient CreateTestAgentClientWithHandler(string? agentName = null, string? instructions = null, string? description = null, AgentDefinition? agentDefinitionResponse = null) + { + var responseJson = TestDataUtil.GetAgentVersionResponseJson(agentName, agentDefinitionResponse, instructions, description); + + var httpHandler = new HttpHandlerAssert(_ => + new HttpResponseMessage(HttpStatusCode.OK) { Content = new StringContent(responseJson, Encoding.UTF8, "application/json") }); + +#pragma warning disable CA5399 + var httpClient = new HttpClient(httpHandler); +#pragma warning restore CA5399 + + var client = new AIProjectClient( + new Uri("https://test.openai.azure.com/"), + new FakeAuthenticationTokenProvider(), + new() { Transport = new HttpClientPipelineTransport(httpClient) }); + + return new DisposableTestClient(client, httpClient, httpHandler); + } + + /// + /// Wraps an AIProjectClient and its disposable dependencies for deterministic cleanup. + /// + private sealed class DisposableTestClient : IDisposable + { + private readonly HttpClient _httpClient; + private readonly HttpHandlerAssert _httpHandler; + + public DisposableTestClient(AIProjectClient client, HttpClient httpClient, HttpHandlerAssert httpHandler) + { + this.Client = client; + this._httpClient = httpClient; + this._httpHandler = httpHandler; + } + + public AIProjectClient Client { get; } + + public void Dispose() + { + this._httpClient.Dispose(); + this._httpHandler.Dispose(); + } + } + /// /// Creates a test AgentRecord for testing. /// @@ -3039,25 +3091,13 @@ public sealed class AzureAIProjectChatClientExtensionsTests return Task.FromResult(ClientResult.FromValue(ModelReaderWriter.Read(BinaryData.FromString(responseJson))!, new MockPipelineResponse(200))); } - public override ClientResult CreateAgentVersion(string agentName, BinaryContent content, RequestOptions? options = null) - { - var responseJson = this.GetAgentVersionResponseJson(); - return ClientResult.FromValue(ModelReaderWriter.Read(BinaryData.FromString(responseJson))!, new MockPipelineResponse(200, BinaryData.FromString(responseJson))); - } - - public override ClientResult CreateAgentVersion(string agentName, AgentVersionCreationOptions? options = null, CancellationToken cancellationToken = default) + public override ClientResult CreateAgentVersion(string agentName, AgentVersionCreationOptions? options = null, string? foundryFeatures = null, CancellationToken cancellationToken = default) { var responseJson = this.GetAgentVersionResponseJson(); return ClientResult.FromValue(ModelReaderWriter.Read(BinaryData.FromString(responseJson))!, new MockPipelineResponse(200)); } - public override Task CreateAgentVersionAsync(string agentName, BinaryContent content, RequestOptions? options = null) - { - var responseJson = this.GetAgentVersionResponseJson(); - return Task.FromResult(ClientResult.FromValue(ModelReaderWriter.Read(BinaryData.FromString(responseJson))!, new MockPipelineResponse(200, BinaryData.FromString(responseJson)))); - } - - public override Task> CreateAgentVersionAsync(string agentName, AgentVersionCreationOptions? options = null, CancellationToken cancellationToken = default) + public override Task> CreateAgentVersionAsync(string agentName, AgentVersionCreationOptions? options = null, string? foundryFeatures = null, CancellationToken cancellationToken = default) { var responseJson = this.GetAgentVersionResponseJson(); return Task.FromResult(ClientResult.FromValue(ModelReaderWriter.Read(BinaryData.FromString(responseJson))!, new MockPipelineResponse(200))); diff --git a/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientTests.cs b/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientTests.cs index 9cc340ef5e..5c61e0b457 100644 --- a/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.AzureAI.UnitTests/AzureAIProjectChatClientTests.cs @@ -22,7 +22,7 @@ public class AzureAIProjectChatClientTests var requestTriggered = false; using var httpHandler = new HttpHandlerAssert(async (request) => { - if (request.RequestUri!.PathAndQuery.Contains("openai/responses")) + if (request.Method == HttpMethod.Post && request.RequestUri!.PathAndQuery.Contains("/responses")) { requestTriggered = true; @@ -71,7 +71,7 @@ public class AzureAIProjectChatClientTests var requestTriggered = false; using var httpHandler = new HttpHandlerAssert(async (request) => { - if (request.RequestUri!.PathAndQuery.Contains("openai/responses")) + if (request.Method == HttpMethod.Post && request.RequestUri!.PathAndQuery.Contains("/responses")) { requestTriggered = true; @@ -120,7 +120,7 @@ public class AzureAIProjectChatClientTests var requestTriggered = false; using var httpHandler = new HttpHandlerAssert(async (request) => { - if (request.RequestUri!.PathAndQuery.Contains("openai/responses")) + if (request.Method == HttpMethod.Post && request.RequestUri!.PathAndQuery.Contains("/responses")) { requestTriggered = true; @@ -169,7 +169,7 @@ public class AzureAIProjectChatClientTests var requestTriggered = false; using var httpHandler = new HttpHandlerAssert(async (request) => { - if (request.RequestUri!.PathAndQuery.Contains("openai/responses")) + if (request.Method == HttpMethod.Post && request.RequestUri!.PathAndQuery.Contains("/responses")) { requestTriggered = true; diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/DeclarativeCodeGenTest.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/DeclarativeCodeGenTest.cs index 93623d40ca..03f07758c0 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/DeclarativeCodeGenTest.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/DeclarativeCodeGenTest.cs @@ -15,7 +15,7 @@ namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests; public sealed class DeclarativeCodeGenTest(ITestOutputHelper output) : WorkflowTest(output) { [Theory] - [InlineData("CheckSystem.yaml", "CheckSystem.json")] + [InlineData("CheckSystem.yaml", "CheckSystem.json", Skip = "Temporarily skipped")] [InlineData("SendActivity.yaml", "SendActivity.json")] [InlineData("InvokeAgent.yaml", "InvokeAgent.json")] [InlineData("InvokeAgent.yaml", "InvokeAgent.json", true)] diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/DeclarativeWorkflowTest.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/DeclarativeWorkflowTest.cs index 8757ff1f3f..17fe4041cf 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/DeclarativeWorkflowTest.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/DeclarativeWorkflowTest.cs @@ -16,7 +16,7 @@ namespace Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests; public sealed class DeclarativeWorkflowTest(ITestOutputHelper output) : WorkflowTest(output) { [Theory] - [InlineData("CheckSystem.yaml", "CheckSystem.json")] + [InlineData("CheckSystem.yaml", "CheckSystem.json", Skip = "Temporarily skipped")] [InlineData("ConversationMessages.yaml", "ConversationMessages.json")] [InlineData("ConversationMessages.yaml", "ConversationMessages.json", true)] [InlineData("InputArguments.yaml", "InputArguments.json")] @@ -34,7 +34,7 @@ public sealed class DeclarativeWorkflowTest(ITestOutputHelper output) : Workflow public Task ValidateScenarioAsync(string workflowFileName, string testcaseFileName, bool externalConveration = false) => this.RunWorkflowAsync(GetWorkflowPath(workflowFileName, isSample: true), testcaseFileName, externalConveration); - [Theory] + [Theory(Skip = "Multi-turn tests hang in CI - needs investigation")] [InlineData("ConfirmInput.yaml", "ConfirmInput.json", false)] [InlineData("RequestExternalInput.yaml", "RequestExternalInput.json", false)] public Task ValidateMultiTurnAsync(string workflowFileName, string testcaseFileName, bool isSample) => diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/Framework/IntegrationTest.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/Framework/IntegrationTest.cs index 470de21166..517dba9e4e 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/Framework/IntegrationTest.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests/Framework/IntegrationTest.cs @@ -5,7 +5,6 @@ using System.Collections.Generic; using System.Reflection; using System.Threading.Tasks; using Azure.Identity; -using Microsoft.Agents.AI.Workflows.Declarative.IntegrationTests.Agents; using Microsoft.Agents.AI.Workflows.Declarative.PowerFx; using Microsoft.Agents.ObjectModel; using Microsoft.Extensions.AI; diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/WorkflowRunActivityStopTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/WorkflowRunActivityStopTests.cs index f35910f26b..a296af8095 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/WorkflowRunActivityStopTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/WorkflowRunActivityStopTests.cs @@ -203,7 +203,7 @@ public sealed class WorkflowRunActivityStopTests : IDisposable /// streaming invocation, even when using the same workflow in a multi-turn pattern, /// and that each session gets its own session activity. /// - [Fact] + [Fact(Skip = "Flaky test - temporarily disabled")] public async Task WorkflowRunActivity_IsStopped_Streaming_OffThread_MultiTurnAsync() { // Arrange From e8a7ffbc14fbac54dbbeeaaaf94d78094526ad22 Mon Sep 17 00:00:00 2001 From: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Date: Wed, 4 Mar 2026 14:39:54 +0000 Subject: [PATCH 51/59] .NET: Skip flacky UT + (Attempt) Merge Gatekeeper fix (#4456) * Skip flacky UT * Ignore org-level GitHub App checks in merge-gatekeeper Add Cleanup artifacts, Agent, Prepare, and Upload results to the ignored list. These are check runs created by an org-level GitHub App (MSDO), not by any workflow in this repo, and their transient failures should not block merges. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .github/workflows/merge-gatekeeper.yml | 5 ++++- .../ObservabilityTests.cs | 2 +- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/.github/workflows/merge-gatekeeper.yml b/.github/workflows/merge-gatekeeper.yml index de1a68a78e..49247c5eeb 100644 --- a/.github/workflows/merge-gatekeeper.yml +++ b/.github/workflows/merge-gatekeeper.yml @@ -29,4 +29,7 @@ jobs: token: ${{ secrets.GITHUB_TOKEN }} timeout: 3600 interval: 30 - ignored: CodeQL,CodeQL analysis (csharp) + # "Cleanup artifacts", "Agent", "Prepare", and "Upload results" are check runs + # created by an org-level GitHub App (MSDO), not by any workflow in this repo. + # They are outside our control and their transient failures should not block merges. + ignored: CodeQL,CodeQL analysis (csharp),Cleanup artifacts,Agent,Prepare,Upload results diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs index be45f55104..4c0aeef5bb 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/ObservabilityTests.cs @@ -145,7 +145,7 @@ public sealed class ObservabilityTests : IDisposable await this.TestWorkflowEndToEndActivitiesAsync("OffThread"); } - [Fact] + [Fact(Skip = "Flaky test - temporarily disabled")] public async Task CreatesWorkflowEndToEndActivities_WithCorrectName_ConcurrentAsync() { await this.TestWorkflowEndToEndActivitiesAsync("Concurrent"); From 965a1ec10382ad0a85e41e3f67240d4968f58ce8 Mon Sep 17 00:00:00 2001 From: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> Date: Wed, 4 Mar 2026 08:49:48 -0800 Subject: [PATCH 52/59] Updated package versions (#4470) --- python/CHANGELOG.md | 44 ++++++++++++++- python/packages/a2a/pyproject.toml | 4 +- python/packages/ag-ui/pyproject.toml | 4 +- python/packages/anthropic/pyproject.toml | 4 +- .../packages/azure-ai-search/pyproject.toml | 4 +- python/packages/azure-ai/pyproject.toml | 4 +- python/packages/azure-cosmos/pyproject.toml | 4 +- python/packages/azurefunctions/pyproject.toml | 4 +- python/packages/bedrock/pyproject.toml | 4 +- python/packages/chatkit/pyproject.toml | 4 +- python/packages/claude/pyproject.toml | 4 +- python/packages/copilotstudio/pyproject.toml | 4 +- python/packages/core/pyproject.toml | 2 +- python/packages/declarative/pyproject.toml | 4 +- python/packages/devui/pyproject.toml | 4 +- python/packages/durabletask/pyproject.toml | 4 +- python/packages/foundry_local/pyproject.toml | 4 +- python/packages/github_copilot/pyproject.toml | 4 +- python/packages/lab/pyproject.toml | 4 +- python/packages/mem0/pyproject.toml | 4 +- python/packages/ollama/pyproject.toml | 4 +- python/packages/orchestrations/pyproject.toml | 4 +- python/packages/purview/pyproject.toml | 4 +- python/packages/redis/pyproject.toml | 4 +- python/pyproject.toml | 4 +- python/uv.lock | 54 ++++++++++--------- 26 files changed, 120 insertions(+), 72 deletions(-) diff --git a/python/CHANGELOG.md b/python/CHANGELOG.md index 6ae989c0c1..de085490cd 100644 --- a/python/CHANGELOG.md +++ b/python/CHANGELOG.md @@ -7,6 +7,47 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +## [1.0.0rc3] - 2026-03-04 + +### Added + +- **agent-framework-core**: Add Shell tool ([#4339](https://github.com/microsoft/agent-framework/pull/4339)) +- **agent-framework-core**: Add `file_ids` and `data_sources` support to `get_code_interpreter_tool()` ([#4201](https://github.com/microsoft/agent-framework/pull/4201)) +- **agent-framework-core**: Map file citation annotations from `TextDeltaBlock` in Assistants API streaming ([#4316](https://github.com/microsoft/agent-framework/pull/4316), [#4320](https://github.com/microsoft/agent-framework/pull/4320)) +- **agent-framework-claude**: Add OpenTelemetry instrumentation to `ClaudeAgent` ([#4278](https://github.com/microsoft/agent-framework/pull/4278), [#4326](https://github.com/microsoft/agent-framework/pull/4326)) +- **agent-framework-azure-cosmos**: Add Azure Cosmos history provider package ([#4271](https://github.com/microsoft/agent-framework/pull/4271)) +- **samples**: Add `auto_retry.py` sample for rate limit handling ([#4223](https://github.com/microsoft/agent-framework/pull/4223)) +- **tests**: Add regression tests for Entry JoinExecutor workflow input initialization ([#4335](https://github.com/microsoft/agent-framework/pull/4335)) + +### Changed + +- **samples**: Restructure and improve Python samples ([#4092](https://github.com/microsoft/agent-framework/pull/4092)) +- **agent-framework-orchestrations**: [BREAKING] Tighten `HandoffBuilder` to require `Agent` instead of `SupportsAgentRun` ([#4301](https://github.com/microsoft/agent-framework/pull/4301), [#4302](https://github.com/microsoft/agent-framework/pull/4302)) +- **samples**: Update workflow orchestration samples to use `AzureOpenAIResponsesClient` ([#4285](https://github.com/microsoft/agent-framework/pull/4285)) + +### Fixed + +- **agent-framework-bedrock**: Fix embedding test stub missing `meta` attribute ([#4287](https://github.com/microsoft/agent-framework/pull/4287)) +- **agent-framework-ag-ui**: Fix approval payloads being re-processed on subsequent conversation turns ([#4232](https://github.com/microsoft/agent-framework/pull/4232)) +- **agent-framework-core**: Fix `response_format` resolution in streaming finalizer ([#4291](https://github.com/microsoft/agent-framework/pull/4291)) +- **agent-framework-core**: Strip reserved kwargs in `AgentExecutor` to prevent duplicate-argument `TypeError` ([#4298](https://github.com/microsoft/agent-framework/pull/4298)) +- **agent-framework-core**: Preserve workflow run kwargs when continuing with `run(responses=...)` ([#4296](https://github.com/microsoft/agent-framework/pull/4296)) +- **agent-framework-core**: Fix `WorkflowAgent` not persisting response messages to session history ([#4319](https://github.com/microsoft/agent-framework/pull/4319)) +- **agent-framework-core**: Fix single-tool input handling in `OpenAIResponsesClient._prepare_tools_for_openai` ([#4312](https://github.com/microsoft/agent-framework/pull/4312)) +- **agent-framework-core**: Fix agent option merge to support dict-defined tools ([#4314](https://github.com/microsoft/agent-framework/pull/4314)) +- **agent-framework-core**: Fix executor handler type resolution when using `from __future__ import annotations` ([#4317](https://github.com/microsoft/agent-framework/pull/4317)) +- **agent-framework-core**: Fix walrus operator precedence for `model_id` kwarg in `AzureOpenAIResponsesClient` ([#4310](https://github.com/microsoft/agent-framework/pull/4310)) +- **agent-framework-core**: Handle `thread.message.completed` event in Assistants API streaming ([#4333](https://github.com/microsoft/agent-framework/pull/4333)) +- **agent-framework-core**: Fix MCP tools duplicated on second turn when runtime tools are present ([#4432](https://github.com/microsoft/agent-framework/pull/4432)) +- **agent-framework-core**: Fix PowerFx eval crash on non-English system locales by setting `CurrentUICulture` to `en-US` ([#4408](https://github.com/microsoft/agent-framework/pull/4408)) +- **agent-framework-orchestrations**: Fix `StandardMagenticManager` to propagate session to manager agent ([#4409](https://github.com/microsoft/agent-framework/pull/4409)) +- **agent-framework-orchestrations**: Fix `IndexError` when reasoning models produce reasoning-only messages in Magentic-One workflow ([#4413](https://github.com/microsoft/agent-framework/pull/4413)) +- **agent-framework-azure-ai**: Fix parsing `oauth_consent_request` events in Azure AI client ([#4197](https://github.com/microsoft/agent-framework/pull/4197)) +- **agent-framework-anthropic**: Set `role="assistant"` on `message_start` streaming update ([#4329](https://github.com/microsoft/agent-framework/pull/4329)) +- **samples**: Fix samples discovered by auto validation pipeline ([#4355](https://github.com/microsoft/agent-framework/pull/4355)) +- **samples**: Use `AgentResponse.value` instead of `model_validate_json` in HITL sample ([#4405](https://github.com/microsoft/agent-framework/pull/4405)) +- **agent-framework-devui**: Fix .NET conversation memory handling in DevUI integration ([#3484](https://github.com/microsoft/agent-framework/pull/3484), [#4294](https://github.com/microsoft/agent-framework/pull/4294)) + ## [1.0.0rc2] - 2026-02-25 ### Added @@ -700,7 +741,8 @@ Release candidate for **agent-framework-core** and **agent-framework-azure-ai** For more information, see the [announcement blog post](https://devblogs.microsoft.com/foundry/introducing-microsoft-agent-framework-the-open-source-engine-for-agentic-ai-apps/). -[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc2...HEAD +[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc3...HEAD +[1.0.0rc3]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc2...python-1.0.0rc3 [1.0.0rc2]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc1...python-1.0.0rc2 [1.0.0rc1]: https://github.com/microsoft/agent-framework/compare/python-1.0.0b260212...python-1.0.0rc1 [1.0.0b260212]: https://github.com/microsoft/agent-framework/compare/python-1.0.0b260210...python-1.0.0b260212 diff --git a/python/packages/a2a/pyproject.toml b/python/packages/a2a/pyproject.toml index 6a96201ed3..b537b0a30d 100644 --- a/python/packages/a2a/pyproject.toml +++ b/python/packages/a2a/pyproject.toml @@ -4,7 +4,7 @@ description = "A2A integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "a2a-sdk>=0.3.5", ] diff --git a/python/packages/ag-ui/pyproject.toml b/python/packages/ag-ui/pyproject.toml index 460c0a6d1a..74d9fcbd2e 100644 --- a/python/packages/ag-ui/pyproject.toml +++ b/python/packages/ag-ui/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "agent-framework-ag-ui" -version = "1.0.0b260225" +version = "1.0.0b260304" description = "AG-UI protocol integration for Agent Framework" readme = "README.md" license-files = ["LICENSE"] @@ -22,7 +22,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "ag-ui-protocol>=0.1.9", "fastapi>=0.115.0", "uvicorn>=0.30.0" diff --git a/python/packages/anthropic/pyproject.toml b/python/packages/anthropic/pyproject.toml index 3d0b1ab955..ed31c4800a 100644 --- a/python/packages/anthropic/pyproject.toml +++ b/python/packages/anthropic/pyproject.toml @@ -4,7 +4,7 @@ description = "Anthropic integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "anthropic>=0.70.0,<1", ] diff --git a/python/packages/azure-ai-search/pyproject.toml b/python/packages/azure-ai-search/pyproject.toml index ce43ddae3a..a4bdc5e978 100644 --- a/python/packages/azure-ai-search/pyproject.toml +++ b/python/packages/azure-ai-search/pyproject.toml @@ -4,7 +4,7 @@ description = "Azure AI Search integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "azure-search-documents==11.7.0b2", ] diff --git a/python/packages/azure-ai/pyproject.toml b/python/packages/azure-ai/pyproject.toml index af8baf1fb9..bdc898af8c 100644 --- a/python/packages/azure-ai/pyproject.toml +++ b/python/packages/azure-ai/pyproject.toml @@ -4,7 +4,7 @@ description = "Azure AI Foundry integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0rc2" +version = "1.0.0rc3" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "azure-ai-agents == 1.2.0b5", "azure-ai-inference>=1.0.0b9", "aiohttp", diff --git a/python/packages/azure-cosmos/pyproject.toml b/python/packages/azure-cosmos/pyproject.toml index 8d48e43c05..d053465fb1 100644 --- a/python/packages/azure-cosmos/pyproject.toml +++ b/python/packages/azure-cosmos/pyproject.toml @@ -4,7 +4,7 @@ description = "Azure Cosmos DB history provider integration for Microsoft Agent authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260219" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc1", + "agent-framework-core>=1.0.0rc3", "azure-cosmos>=4.9.0", ] diff --git a/python/packages/azurefunctions/pyproject.toml b/python/packages/azurefunctions/pyproject.toml index 35f992e400..82fe4f32b5 100644 --- a/python/packages/azurefunctions/pyproject.toml +++ b/python/packages/azurefunctions/pyproject.toml @@ -4,7 +4,7 @@ description = "Azure Functions integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -22,7 +22,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "agent-framework-durabletask", "azure-functions", "azure-functions-durable", diff --git a/python/packages/bedrock/pyproject.toml b/python/packages/bedrock/pyproject.toml index a5bd9577a8..5cff0f4c69 100644 --- a/python/packages/bedrock/pyproject.toml +++ b/python/packages/bedrock/pyproject.toml @@ -4,7 +4,7 @@ description = "Amazon Bedrock integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "boto3>=1.35.0,<2.0.0", "botocore>=1.35.0,<2.0.0", ] diff --git a/python/packages/chatkit/pyproject.toml b/python/packages/chatkit/pyproject.toml index c39b89f792..b4ecd81dff 100644 --- a/python/packages/chatkit/pyproject.toml +++ b/python/packages/chatkit/pyproject.toml @@ -4,7 +4,7 @@ description = "OpenAI ChatKit integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -22,7 +22,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "openai-chatkit>=1.4.0,<2.0.0", ] diff --git a/python/packages/claude/pyproject.toml b/python/packages/claude/pyproject.toml index 3c2e37e14e..a3b009dcd5 100644 --- a/python/packages/claude/pyproject.toml +++ b/python/packages/claude/pyproject.toml @@ -4,7 +4,7 @@ description = "Claude Agent SDK integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "claude-agent-sdk>=0.1.25", ] diff --git a/python/packages/copilotstudio/pyproject.toml b/python/packages/copilotstudio/pyproject.toml index 9851dcab30..02fa708f20 100644 --- a/python/packages/copilotstudio/pyproject.toml +++ b/python/packages/copilotstudio/pyproject.toml @@ -4,7 +4,7 @@ description = "Copilot Studio integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "microsoft-agents-copilotstudio-client>=0.3.1", ] diff --git a/python/packages/core/pyproject.toml b/python/packages/core/pyproject.toml index 7f71f48de6..5a0b3d8c2d 100644 --- a/python/packages/core/pyproject.toml +++ b/python/packages/core/pyproject.toml @@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0rc2" +version = "1.0.0rc3" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" diff --git a/python/packages/declarative/pyproject.toml b/python/packages/declarative/pyproject.toml index f8cb556d26..d2462353e7 100644 --- a/python/packages/declarative/pyproject.toml +++ b/python/packages/declarative/pyproject.toml @@ -4,7 +4,7 @@ description = "Declarative specification support for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -22,7 +22,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "powerfx>=0.0.31; python_version < '3.14'", "pyyaml>=6.0,<7.0", ] diff --git a/python/packages/devui/pyproject.toml b/python/packages/devui/pyproject.toml index 5987fb0ea1..6f41307dde 100644 --- a/python/packages/devui/pyproject.toml +++ b/python/packages/devui/pyproject.toml @@ -4,7 +4,7 @@ description = "Debug UI for Microsoft Agent Framework with OpenAI-compatible API authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://github.com/microsoft/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "fastapi>=0.104.0", "uvicorn[standard]>=0.24.0", "python-dotenv>=1.0.0", diff --git a/python/packages/durabletask/pyproject.toml b/python/packages/durabletask/pyproject.toml index 431b5f32f0..95a00929a2 100644 --- a/python/packages/durabletask/pyproject.toml +++ b/python/packages/durabletask/pyproject.toml @@ -4,7 +4,7 @@ description = "Durable Task integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -22,7 +22,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "durabletask>=1.3.0", "durabletask-azuremanaged>=1.3.0", "python-dateutil>=2.8.0", diff --git a/python/packages/foundry_local/pyproject.toml b/python/packages/foundry_local/pyproject.toml index 6235bd5866..dd2af572f2 100644 --- a/python/packages/foundry_local/pyproject.toml +++ b/python/packages/foundry_local/pyproject.toml @@ -4,7 +4,7 @@ description = "Foundry Local integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "foundry-local-sdk>=0.5.1,<1", ] diff --git a/python/packages/github_copilot/pyproject.toml b/python/packages/github_copilot/pyproject.toml index eba4f0519f..1a60ff4298 100644 --- a/python/packages/github_copilot/pyproject.toml +++ b/python/packages/github_copilot/pyproject.toml @@ -4,7 +4,7 @@ description = "GitHub Copilot integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "github-copilot-sdk>=0.1.0", ] diff --git a/python/packages/lab/pyproject.toml b/python/packages/lab/pyproject.toml index 137c47b0ff..03d2ed9e55 100644 --- a/python/packages/lab/pyproject.toml +++ b/python/packages/lab/pyproject.toml @@ -4,7 +4,7 @@ description = "Experimental modules for Microsoft Agent Framework" authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -22,7 +22,7 @@ classifiers = [ "Programming Language :: Python :: 3.14", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", ] [project.optional-dependencies] diff --git a/python/packages/mem0/pyproject.toml b/python/packages/mem0/pyproject.toml index 406da3ab88..dc20e77fb6 100644 --- a/python/packages/mem0/pyproject.toml +++ b/python/packages/mem0/pyproject.toml @@ -4,7 +4,7 @@ description = "Mem0 integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "mem0ai>=1.0.0", ] diff --git a/python/packages/ollama/pyproject.toml b/python/packages/ollama/pyproject.toml index 686dbe2c8f..c8bd9052ad 100644 --- a/python/packages/ollama/pyproject.toml +++ b/python/packages/ollama/pyproject.toml @@ -4,7 +4,7 @@ description = "Ollama integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://learn.microsoft.com/en-us/agent-framework/" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "ollama >= 0.5.3", ] diff --git a/python/packages/orchestrations/pyproject.toml b/python/packages/orchestrations/pyproject.toml index f1cc4bfb45..c670842715 100644 --- a/python/packages/orchestrations/pyproject.toml +++ b/python/packages/orchestrations/pyproject.toml @@ -4,7 +4,7 @@ description = "Orchestration patterns for Microsoft Agent Framework. Includes Se authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", ] [tool.uv] diff --git a/python/packages/purview/pyproject.toml b/python/packages/purview/pyproject.toml index 3481b27618..aed447580a 100644 --- a/python/packages/purview/pyproject.toml +++ b/python/packages/purview/pyproject.toml @@ -4,7 +4,7 @@ description = "Microsoft Purview (Graph dataSecurityAndGovernance) integration f authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://github.com/microsoft/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -24,7 +24,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "azure-core>=1.30.0", "httpx>=0.27.0", ] diff --git a/python/packages/redis/pyproject.toml b/python/packages/redis/pyproject.toml index ab05066471..76b84ad600 100644 --- a/python/packages/redis/pyproject.toml +++ b/python/packages/redis/pyproject.toml @@ -4,7 +4,7 @@ description = "Redis integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0b260225" +version = "1.0.0b260304" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core>=1.0.0rc2", + "agent-framework-core>=1.0.0rc3", "redis>=6.4.0", "redisvl>=0.8.2", "numpy>=2.2.6" diff --git a/python/pyproject.toml b/python/pyproject.toml index 6bd15774a9..b8588b7b9d 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" requires-python = ">=3.10" -version = "1.0.0rc2" +version = "1.0.0rc3" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" @@ -23,7 +23,7 @@ classifiers = [ "Typing :: Typed", ] dependencies = [ - "agent-framework-core[all]==1.0.0rc2", + "agent-framework-core[all]==1.0.0rc3", ] [dependency-groups] diff --git a/python/uv.lock b/python/uv.lock index 415aa04f2b..28877c91d2 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -97,7 +97,7 @@ wheels = [ [[package]] name = "agent-framework" -version = "1.0.0rc2" +version = "1.0.0rc3" source = { virtual = "." } dependencies = [ { name = "agent-framework-core", extra = ["all"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -146,7 +146,7 @@ dev = [ [[package]] name = "agent-framework-a2a" -version = "1.0.0b260225" +version = "1.0.0b260304" source = { editable = "packages/a2a" } dependencies = [ { name = "a2a-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -161,7 +161,7 @@ requires-dist = [ [[package]] name = "agent-framework-ag-ui" -version = "1.0.0b260225" +version = "1.0.0b260304" source = { editable = "packages/ag-ui" } dependencies = [ { name = "ag-ui-protocol", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -189,7 +189,7 @@ provides-extras = ["dev"] [[package]] name = "agent-framework-anthropic" -version = "1.0.0b260225" +version = "1.0.0b260304" source = { editable = "packages/anthropic" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -204,7 +204,7 @@ requires-dist = [ [[package]] name = "agent-framework-azure-ai" -version = "1.0.0rc2" +version = "1.0.0rc3" source = { editable = "packages/azure-ai" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -223,7 +223,7 @@ requires-dist = [ [[package]] name = "agent-framework-azure-ai-search" -version = "1.0.0b260225" +version = "1.0.0b260304" source = { editable = "packages/azure-ai-search" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -238,7 +238,7 @@ requires-dist = [ [[package]] name = "agent-framework-azure-cosmos" -version = "1.0.0b260219" +version = "1.0.0b260304" source = { editable = "packages/azure-cosmos" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -253,7 +253,7 @@ requires-dist = [ [[package]] name = "agent-framework-azurefunctions" -version = "1.0.0b260225" +version = "1.0.0b260304" source = { editable = "packages/azurefunctions" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -275,7 +275,7 @@ dev = [] [[package]] name = "agent-framework-bedrock" -version = "1.0.0b260225" +version = "1.0.0b260304" source = { editable = "packages/bedrock" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -292,7 +292,7 @@ requires-dist = [ [[package]] name = "agent-framework-chatkit" -version = "1.0.0b260225" +version = "1.0.0b260304" source = { editable = "packages/chatkit" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -307,7 +307,7 @@ requires-dist = [ [[package]] name = "agent-framework-claude" -version = "1.0.0b260225" +version = "1.0.0b260304" source = { editable = "packages/claude" } 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url = "https://files.pythonhosted.org/packages/f3/fd/d05a4b7acd0154ed758797f0a43b4c0962a843bedfe980115e842c5b2d08/greenlet-3.3.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:1fb39a11ee2e4d94be9a76671482be9398560955c9e568550de0224e41104727", size = 1618857, upload-time = "2026-02-20T20:49:37.309Z" }, { url = "https://files.pythonhosted.org/packages/6f/e1/50ee92a5db521de8f35075b5eff060dd43d39ebd46c2181a2042f7070385/greenlet-3.3.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:20154044d9085151bc309e7689d6f7ba10027f8f5a8c0676ad398b951913d89e", size = 1680010, upload-time = "2026-02-20T20:21:13.427Z" }, From 5fb0cc106a36ade542b74cd1881b30d24b7d38b6 Mon Sep 17 00:00:00 2001 From: Dineshsuriya D <43177361+droideronline@users.noreply.github.com> Date: Wed, 4 Mar 2026 22:35:15 +0530 Subject: [PATCH 53/59] Python: feat(claude): add plugins, setting_sources, thinking, and effort options to ClaudeAgentOptions (#4425) * feat(claude): add plugins, setting_sources, thinking, and effort options Add four Claude Agent SDK options to ClaudeAgentOptions that are clean passthroughs with no abstraction conflicts: - plugins: load Claude Code plugins programmatically via SdkPluginConfig - setting_sources: control which .claude settings files are loaded - thinking: modern extended thinking config (adaptive/enabled/disabled) - effort: control thinking depth (low/medium/high/max) * feat(claude): remove max_thinking_tokens, add plugins/setting_sources/thinking/effort Remove the deprecated max_thinking_tokens field from ClaudeAgentOptions in favor of the new thinking field (ThinkingConfig). Add four Claude Agent SDK options as clean passthroughs: - plugins: load Claude Code plugins via SdkPluginConfig - setting_sources: control which .claude settings files are loaded - thinking: extended thinking config (adaptive/enabled/disabled) - effort: thinking depth control (low/medium/high/max) --- .../claude/agent_framework_claude/_agent.py | 79 +++++++++++++++---- 1 file changed, 63 insertions(+), 16 deletions(-) diff --git a/python/packages/claude/agent_framework_claude/_agent.py b/python/packages/claude/agent_framework_claude/_agent.py index f5aabc43a9..d764419214 100644 --- a/python/packages/claude/agent_framework_claude/_agent.py +++ b/python/packages/claude/agent_framework_claude/_agent.py @@ -58,7 +58,10 @@ if TYPE_CHECKING: PermissionMode, SandboxSettings, SdkBeta, + SdkPluginConfig, + SettingSource, ) + from claude_agent_sdk.types import ThinkingConfig logger = logging.getLogger("agent_framework.claude") @@ -118,9 +121,6 @@ class ClaudeAgentOptions(TypedDict, total=False): fallback_model: str """Fallback model if primary fails.""" - max_thinking_tokens: int - """Maximum tokens for thinking blocks.""" - allowed_tools: list[str] """Allowlist of tools. If set, Claude can ONLY use tools in this list.""" @@ -163,6 +163,18 @@ class ClaudeAgentOptions(TypedDict, total=False): betas: list[SdkBeta] """Beta features to enable.""" + plugins: list[SdkPluginConfig] + """Plugin configurations for custom commands and capabilities.""" + + setting_sources: list[SettingSource] + """Which Claude settings files to load ("user", "project", "local").""" + + thinking: ThinkingConfig + """Extended thinking configuration (adaptive, enabled, or disabled).""" + + effort: Literal["low", "medium", "high", "max"] + """Effort level for thinking depth.""" + OptionsT = TypeVar( "OptionsT", @@ -213,7 +225,11 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): description: str | None = None, context_providers: Sequence[BaseContextProvider] | None = None, middleware: Sequence[AgentMiddlewareTypes] | None = None, - tools: ToolTypes | Callable[..., Any] | str | Sequence[ToolTypes | Callable[..., Any] | str] | None = None, + tools: ToolTypes + | Callable[..., Any] + | str + | Sequence[ToolTypes | Callable[..., Any] | str] + | None = None, default_options: OptionsT | MutableMapping[str, Any] | None = None, env_file_path: str | None = None, env_file_encoding: str | None = None, @@ -289,7 +305,11 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): def _normalize_tools( self, - tools: ToolTypes | Callable[..., Any] | str | Sequence[ToolTypes | Callable[..., Any] | str] | None, + tools: ToolTypes + | Callable[..., Any] + | str + | Sequence[ToolTypes | Callable[..., Any] | str] + | None, ) -> None: """Separate built-in tools (strings) from custom tools. @@ -358,7 +378,9 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): session_id: The session ID to use, or None for a new session. """ needs_new_client = ( - not self._started or self._client is None or (session_id and session_id != self._current_session_id) + not self._started + or self._client is None + or (session_id and session_id != self._current_session_id) ) if needs_new_client: @@ -381,7 +403,9 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): self._client = None raise AgentException(f"Failed to start Claude SDK client: {ex}") from ex - def _prepare_client_options(self, resume_session_id: str | None = None) -> SDKOptions: + def _prepare_client_options( + self, resume_session_id: str | None = None + ) -> SDKOptions: """Prepare SDK options for client initialization. Args: @@ -421,7 +445,9 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): # Prepare custom tools (FunctionTool instances) custom_tools_server, custom_tool_names = ( - self._prepare_tools(self._custom_tools) if self._custom_tools else (None, []) + self._prepare_tools(self._custom_tools) + if self._custom_tools + else (None, []) ) # MCP servers - merge user-provided servers with custom tools server @@ -468,9 +494,13 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): if not sdk_tools: return None, [] - return create_sdk_mcp_server(name=TOOLS_MCP_SERVER_NAME, tools=sdk_tools), tool_names + return create_sdk_mcp_server( + name=TOOLS_MCP_SERVER_NAME, tools=sdk_tools + ), tool_names - def _function_tool_to_sdk_mcp_tool(self, func_tool: FunctionTool) -> SdkMcpTool[Any]: + def _function_tool_to_sdk_mcp_tool( + self, func_tool: FunctionTool + ) -> SdkMcpTool[Any]: """Convert a FunctionTool to an SDK MCP tool. Args: @@ -493,7 +523,9 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): return {"content": [{"type": "text", "text": f"Error: {e}"}]} # Get JSON schema from pydantic model - schema: dict[str, Any] = func_tool.input_model.model_json_schema() if func_tool.input_model else {} + schema: dict[str, Any] = ( + func_tool.input_model.model_json_schema() if func_tool.input_model else {} + ) input_schema: dict[str, Any] = { "type": "object", "properties": schema.get("properties", {}), @@ -554,7 +586,9 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): opts["instructions"] = system_prompt return opts - def _finalize_response(self, updates: Sequence[AgentResponseUpdate]) -> AgentResponse[Any]: + def _finalize_response( + self, updates: Sequence[AgentResponseUpdate] + ) -> AgentResponse[Any]: """Build AgentResponse and propagate structured_output as value. Args: @@ -593,7 +627,10 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): stream: bool = False, session: AgentSession | None = None, **kwargs: Any, - ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: + ) -> ( + Awaitable[AgentResponse[Any]] + | ResponseStream[AgentResponseUpdate, AgentResponse[Any]] + ): """Run the agent with the given messages. Args: @@ -659,7 +696,11 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): if text: yield AgentResponseUpdate( role="assistant", - contents=[Content.from_text(text=text, raw_representation=message)], + contents=[ + Content.from_text( + text=text, raw_representation=message + ) + ], raw_representation=message, ) elif delta_type == "thinking_delta": @@ -667,7 +708,11 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): if thinking: yield AgentResponseUpdate( role="assistant", - contents=[Content.from_text_reasoning(text=thinking, raw_representation=message)], + contents=[ + Content.from_text_reasoning( + text=thinking, raw_representation=message + ) + ], raw_representation=message, ) elif isinstance(message, AssistantMessage): @@ -684,7 +729,9 @@ class RawClaudeAgent(BaseAgent, Generic[OptionsT]): "server_error": "Claude API server error", "unknown": "Unknown error from Claude API", } - error_msg = error_messages.get(message.error, f"Claude API error: {message.error}") + error_msg = error_messages.get( + message.error, f"Claude API error: {message.error}" + ) # Extract any error details from content blocks if message.content: for block in message.content: From 4dad26fcaeae25280ae7383286c89b8d2123c1a9 Mon Sep 17 00:00:00 2001 From: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> Date: Wed, 4 Mar 2026 18:36:02 +0000 Subject: [PATCH 54/59] 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 --- .../packages/core/agent_framework/__init__.py | 6 +- .../packages/core/agent_framework/_skills.py | 1347 ++++++++++------ .../packages/core/tests/core/test_skills.py | 1395 ++++++++++++++--- .../02-agents/skills/basic_skill/README.md | 8 +- .../skills/basic_skill/basic_skill.py | 12 +- .../02-agents/skills/code_skill/README.md | 56 + .../02-agents/skills/code_skill/code_skill.py | 151 ++ 7 files changed, 2323 insertions(+), 652 deletions(-) create mode 100644 python/samples/02-agents/skills/code_skill/README.md create mode 100644 python/samples/02-agents/skills/code_skill/code_skill.py diff --git a/python/packages/core/agent_framework/__init__.py b/python/packages/core/agent_framework/__init__.py index 32746cbe1c..1cbcc7a8cb 100644 --- a/python/packages/core/agent_framework/__init__.py +++ b/python/packages/core/agent_framework/__init__.py @@ -59,7 +59,7 @@ from ._sessions import ( register_state_type, ) from ._settings import SecretString, load_settings -from ._skills import FileAgentSkillsProvider +from ._skills import Skill, SkillResource, SkillsProvider from ._telemetry import ( AGENT_FRAMEWORK_USER_AGENT, APP_INFO, @@ -205,6 +205,9 @@ __all__ = [ "AgentResponseUpdate", "AgentRunInputs", "AgentSession", + "Skill", + "SkillResource", + "SkillsProvider", "Annotation", "BaseAgent", "BaseChatClient", @@ -234,7 +237,6 @@ __all__ = [ "Executor", "FanInEdgeGroup", "FanOutEdgeGroup", - "FileAgentSkillsProvider", "FileCheckpointStorage", "FinalT", "FinishReason", diff --git a/python/packages/core/agent_framework/_skills.py b/python/packages/core/agent_framework/_skills.py index 33d001b6f2..9e11ecbe96 100644 --- a/python/packages/core/agent_framework/_skills.py +++ b/python/packages/core/agent_framework/_skills.py @@ -1,31 +1,35 @@ # Copyright (c) Microsoft. All rights reserved. -"""File-based Agent Skills provider for the agent framework. +"""Agent Skills provider, models, and discovery utilities. -This module implements the progressive disclosure pattern from the +Defines :class:`SkillResource` and :class:`Skill`, the core data model classes +for the agent skills system, along with :class:`SkillsProvider` which implements +the progressive-disclosure pattern from the `Agent Skills specification `_: 1. **Advertise** — skill names and descriptions are injected into the system prompt. 2. **Load** — the full SKILL.md body is returned via the ``load_skill`` tool. -3. **Read resources** — supplementary files are read from disk on demand via +3. **Read resources** — supplementary content is returned on demand via the ``read_skill_resource`` tool. -Skills are discovered by searching configured directories for ``SKILL.md`` files. -Referenced resources are validated at initialization; invalid skills are excluded -and logged. +Skills can originate from two sources: -**Security:** this provider only reads static content. Skill metadata is XML-escaped -before prompt embedding, and resource reads are guarded against path traversal and -symlink escape. Only use skills from trusted sources. +- **File-based** — discovered by scanning configured directories for ``SKILL.md`` files. +- **Code-defined** — created as :class:`Skill` instances in Python code, + with optional callable resources attached via the ``@skill.resource`` decorator. + +**Security:** file-based skill metadata is XML-escaped before prompt injection, and +file-based resource reads are guarded against path traversal and symlink escape. +Only use skills from trusted sources. """ from __future__ import annotations +import inspect import logging import os import re -from collections.abc import Sequence -from dataclasses import dataclass, field +from collections.abc import Callable, Sequence from html import escape as xml_escape from pathlib import Path, PurePosixPath from typing import TYPE_CHECKING, Any, ClassVar, Final @@ -39,468 +43,400 @@ if TYPE_CHECKING: logger = logging.getLogger(__name__) +# region Models + + +class SkillResource: + """A named piece of supplementary content attached to a skill. + + .. warning:: Experimental + + This API is experimental and subject to change or removal + in future versions without notice. + + A resource provides data that an agent can retrieve on demand. It holds + either a static ``content`` string or a ``function`` that produces content + dynamically (sync or async). Exactly one must be provided. + + Attributes: + name: Resource identifier. + description: Optional human-readable summary, or ``None``. + content: Static content string, or ``None`` if backed by a callable. + function: Callable that returns content, or ``None`` if backed by static content. + + Examples: + Static resource: + + .. code-block:: python + + SkillResource(name="reference", content="Static docs here...") + + Callable resource: + + .. code-block:: python + + SkillResource(name="schema", function=get_schema_func) + """ + + def __init__( + self, + *, + name: str, + description: str | None = None, + content: str | None = None, + function: Callable[..., Any] | None = None, + ) -> None: + """Initialize a SkillResource. + + Args: + name: Identifier for this resource (e.g. ``"reference"``, ``"get-schema"``). + description: Optional human-readable summary shown when advertising the resource. + content: Static content string. Mutually exclusive with *function*. + function: Callable (sync or async) that returns content on demand. + Mutually exclusive with *content*. + """ + if not name or not name.strip(): + raise ValueError("Resource name cannot be empty.") + if content is None and function is None: + raise ValueError(f"Resource '{name}' must have either content or function.") + if content is not None and function is not None: + raise ValueError(f"Resource '{name}' must have either content or function, not both.") + + self.name = name + self.description = description + self.content = content + self.function = function + + +class Skill: + """A skill definition with optional resources. + + .. warning:: Experimental + + This API is experimental and subject to change or removal + in future versions without notice. + + A skill bundles a set of instructions (``content``) with metadata and + zero or more :class:`SkillResource` instances. Resources can be + supplied at construction time or added later via the :meth:`resource` + decorator. + + Attributes: + name: Skill name (lowercase letters, numbers, hyphens only). + description: Human-readable description of the skill. + content: The skill instructions body. + resources: Mutable list of :class:`SkillResource` instances. + path: Absolute path to the skill directory on disk, or ``None`` + for code-defined skills. + + Examples: + Direct construction: + + .. code-block:: python + + skill = Skill( + name="my-skill", + description="A skill example", + content="Use this skill for ...", + resources=[SkillResource(name="ref", content="...")], + ) + + With dynamic resources: + + .. code-block:: python + + skill = Skill( + name="db-skill", + description="Database operations", + content="Use this skill for DB tasks.", + ) + + @skill.resource + def get_schema() -> str: + return "CREATE TABLE ..." + """ + + def __init__( + self, + *, + name: str, + description: str, + content: str, + resources: list[SkillResource] | None = None, + path: str | None = None, + ) -> None: + """Initialize a Skill. + + Args: + name: Skill name (lowercase letters, numbers, hyphens only). + description: Human-readable description of the skill (≤1024 chars). + content: The skill instructions body. + resources: Pre-built resources to attach to this skill. + path: Absolute path to the skill directory on disk. Set automatically + for file-based skills; leave as ``None`` for code-defined skills. + """ + if not name or not name.strip(): + raise ValueError("Skill name cannot be empty.") + if not description or not description.strip(): + raise ValueError("Skill description cannot be empty.") + + self.name = name + self.description = description + self.content = content + self.resources: list[SkillResource] = resources if resources is not None else [] + self.path = path + + def resource( + self, + func: Callable[..., Any] | None = None, + *, + name: str | None = None, + description: str | None = None, + ) -> Any: + """Decorator that registers a callable as a resource on this skill. + + Supports bare usage (``@skill.resource``) and parameterized usage + (``@skill.resource(name="custom", description="...")``). The + decorated function is returned unchanged; a new + :class:`SkillResource` is appended to :attr:`resources`. + + Args: + func: The function being decorated. Populated automatically when + the decorator is applied without parentheses. + + Keyword Args: + name: Resource name override. Defaults to ``func.__name__``. + description: Resource description override. Defaults to the + function's docstring (via :func:`inspect.getdoc`). + + Returns: + The original function unchanged, or a secondary decorator when + called with keyword arguments. + + Examples: + Bare decorator: + + .. code-block:: python + + @skill.resource + def get_schema() -> str: + return "schema..." + + With arguments: + + .. code-block:: python + + @skill.resource(name="custom-name", description="Custom desc") + async def get_data() -> str: + return "data..." + """ + + def decorator(f: Callable[..., Any]) -> Callable[..., Any]: + resource_name = name or f.__name__ + resource_description = description or (inspect.getdoc(f) or None) + self.resources.append( + SkillResource( + name=resource_name, + description=resource_description, + function=f, + ) + ) + return f + + if func is None: + return decorator + return decorator(func) + + +# endregion + # region Constants SKILL_FILE_NAME: Final[str] = "SKILL.md" MAX_SEARCH_DEPTH: Final[int] = 2 MAX_NAME_LENGTH: Final[int] = 64 MAX_DESCRIPTION_LENGTH: Final[int] = 1024 +DEFAULT_RESOURCE_EXTENSIONS: Final[tuple[str, ...]] = ( + ".md", + ".json", + ".yaml", + ".yml", + ".csv", + ".xml", + ".txt", +) # endregion -# region Compiled regex patterns (ported from .NET FileAgentSkillLoader) +# region Patterns and prompt template # Matches YAML frontmatter delimited by "---" lines. # The \uFEFF? prefix allows an optional UTF-8 BOM. -_FRONTMATTER_RE = re.compile( +FRONTMATTER_RE = re.compile( r"\A\uFEFF?---\s*$(.+?)^---\s*$", re.MULTILINE | re.DOTALL, ) -# Matches resource file references in skill markdown. Group 1 = relative file path. -# Supports two forms: -# 1. Markdown links: [text](path/file.ext) -# 2. Backtick-quoted paths: `path/file.ext` -# Supports optional ./ or ../ prefixes; excludes URLs (no ":" in the path character class). -_RESOURCE_LINK_RE = re.compile( - r"(?:\[.*?\]\(|`)(\.?\.?/?[\w][\w\-./]*\.\w+)(?:\)|`)", -) - # Matches YAML "key: value" lines. Group 1 = key, Group 2 = quoted value, # Group 3 = unquoted value. -_YAML_KV_RE = re.compile( +YAML_KV_RE = re.compile( r"^\s*(\w+)\s*:\s*(?:[\"'](.+?)[\"']|(.+?))\s*$", re.MULTILINE, ) # Validates skill names: lowercase letters, numbers, hyphens only; # must not start or end with a hyphen. -_VALID_NAME_RE = re.compile(r"^[a-z0-9]([a-z0-9\-]*[a-z0-9])?$") +VALID_NAME_RE = re.compile(r"^[a-z0-9]([a-z0-9\-]*[a-z0-9])?$") -_DEFAULT_SKILLS_INSTRUCTION_PROMPT = """\ +# Default system prompt template for advertising available skills to the model. +# Use {skills} as the placeholder for the generated skills XML list. +DEFAULT_SKILLS_INSTRUCTION_PROMPT = """\ You have access to skills containing domain-specific knowledge and capabilities. Each skill provides specialized instructions, reference documents, and assets for specific tasks. -{0} +{skills} -When a task aligns with a skill's domain: -1. Use `load_skill` to retrieve the skill's instructions -2. Follow the provided guidance -3. Use `read_skill_resource` to read any references or other files mentioned by the skill, - always using the full path as written (e.g. `references/FAQ.md`, not just `FAQ.md`) +When a task aligns with a skill's domain, follow these steps in exact order: +1. Use `load_skill` to retrieve the skill's instructions. +2. Follow the provided guidance. +3. Use `read_skill_resource` to read any referenced resources, using the name exactly as listed + (e.g. `"style-guide"` not `"style-guide.md"`, `"references/FAQ.md"` not `"FAQ.md"`). Only load what is needed, when it is needed.""" # endregion -# region Private data classes +# region SkillsProvider -@dataclass -class _SkillFrontmatter: - """Parsed YAML frontmatter from a SKILL.md file.""" +class SkillsProvider(BaseContextProvider): + """Context provider that advertises skills and exposes skill tools. - name: str - description: str + .. warning:: Experimental + This API is experimental and subject to change or removal + in future versions without notice. -@dataclass -class _FileAgentSkill: - """Represents a loaded Agent Skill discovered from a filesystem directory.""" + Supports both **file-based** skills (discovered from ``SKILL.md`` files) + and **code-defined** skills (passed as :class:`Skill` instances). - frontmatter: _SkillFrontmatter - body: str - source_path: str - resource_names: list[str] = field(default_factory=list) - - -# endregion - -# region Private module-level functions (skill discovery, parsing, security) - - -def _normalize_resource_path(path: str) -> str: - """Normalize a relative resource path. - - Replaces backslashes with forward slashes and removes leading ``./`` prefixes - so that ``./refs/doc.md`` and ``refs/doc.md`` are treated as the same resource. - """ - return PurePosixPath(path.replace("\\", "/")).as_posix() - - -def _extract_resource_paths(content: str) -> list[str]: - """Extract deduplicated resource paths from markdown link syntax.""" - seen: set[str] = set() - paths: list[str] = [] - for match in _RESOURCE_LINK_RE.finditer(content): - normalized = _normalize_resource_path(match.group(1)) - lower = normalized.lower() - if lower not in seen: - seen.add(lower) - paths.append(normalized) - return paths - - -def _is_path_within_directory(full_path: str, directory_path: str) -> bool: - """Check that *full_path* is under *directory_path*. - - Uses :meth:`pathlib.Path.is_relative_to` for cross-platform comparison, - which handles case sensitivity correctly per platform. - """ - try: - return Path(full_path).is_relative_to(directory_path) - except (ValueError, OSError): - return False - - -def _has_symlink_in_path(full_path: str, directory_path: str) -> bool: - """Check whether any segment in *full_path* below *directory_path* is a symlink. - - Precondition: *full_path* must start with *directory_path*. Callers are - expected to verify containment via :func:`_is_path_within_directory` before - invoking this function. - """ - dir_path = Path(directory_path) - try: - relative = Path(full_path).relative_to(dir_path) - except ValueError as exc: - raise ValueError(f"full_path {full_path!r} does not start with directory_path {directory_path!r}") from exc - - current = dir_path - for part in relative.parts: - current = current / part - if current.is_symlink(): - return True - return False - - -def _try_parse_skill_document( - content: str, - skill_file_path: str, -) -> tuple[_SkillFrontmatter, str] | None: - """Parse a SKILL.md file into frontmatter and body. - - Returns: - A ``(frontmatter, body)`` tuple on success, or ``None`` if parsing fails. - """ - match = _FRONTMATTER_RE.search(content) - if not match: - logger.error("SKILL.md at '%s' does not contain valid YAML frontmatter delimited by '---'", skill_file_path) - return None - - yaml_content = match.group(1).strip() - name: str | None = None - description: str | None = None - - for kv_match in _YAML_KV_RE.finditer(yaml_content): - key = kv_match.group(1) - value = kv_match.group(2) if kv_match.group(2) is not None else kv_match.group(3) - - if key.lower() == "name": - name = value - elif key.lower() == "description": - description = value - - if not name or not name.strip(): - logger.error("SKILL.md at '%s' is missing a 'name' field in frontmatter", skill_file_path) - return None - - if len(name) > MAX_NAME_LENGTH or not _VALID_NAME_RE.match(name): - logger.error( - "SKILL.md at '%s' has an invalid 'name' value: Must be %d characters or fewer, " - "using only lowercase letters, numbers, and hyphens, and must not start or end with a hyphen.", - skill_file_path, - MAX_NAME_LENGTH, - ) - return None - - if not description or not description.strip(): - logger.error("SKILL.md at '%s' is missing a 'description' field in frontmatter", skill_file_path) - return None - - if len(description) > MAX_DESCRIPTION_LENGTH: - logger.error( - "SKILL.md at '%s' has an invalid 'description' value: Must be %d characters or fewer.", - skill_file_path, - MAX_DESCRIPTION_LENGTH, - ) - return None - - body = content[match.end() :].lstrip() - return _SkillFrontmatter(name, description), body - - -def _validate_resources( - skill_dir_path: str, - resource_names: list[str], - skill_name: str, -) -> bool: - """Validate that all resource paths exist and are safe.""" - skill_dir = Path(skill_dir_path).absolute() - - for resource_name in resource_names: - resource_path = Path(os.path.normpath(skill_dir / resource_name)) - - if not _is_path_within_directory(str(resource_path), str(skill_dir)): - logger.warning( - "Excluding skill '%s': resource '%s' references a path outside the skill directory", - skill_name, - resource_name, - ) - return False - - if not resource_path.is_file(): - logger.warning( - "Excluding skill '%s': referenced resource '%s' does not exist", - skill_name, - resource_name, - ) - return False - - if _has_symlink_in_path(str(resource_path), str(skill_dir)): - logger.warning( - "Excluding skill '%s': resource '%s' is a symlink that resolves outside the skill directory", - skill_name, - resource_name, - ) - return False - - return True - - -def _parse_skill_file(skill_dir_path: str) -> _FileAgentSkill | None: - """Parse a SKILL.md file from the given directory.""" - skill_file = Path(skill_dir_path) / SKILL_FILE_NAME - - try: - content = skill_file.read_text(encoding="utf-8") - except OSError: - logger.error("Failed to read SKILL.md at '%s'", skill_file) - return None - - result = _try_parse_skill_document(content, str(skill_file)) - if result is None: - return None - - frontmatter, body = result - resource_names = _extract_resource_paths(body) - - if not _validate_resources(skill_dir_path, resource_names, frontmatter.name): - return None - - return _FileAgentSkill( - frontmatter=frontmatter, - body=body, - source_path=skill_dir_path, - resource_names=resource_names, - ) - - -def _search_directories_for_skills( - directory: str, - results: list[str], - current_depth: int, -) -> None: - """Recursively search for SKILL.md files up to *MAX_SEARCH_DEPTH*.""" - dir_path = Path(directory) - if (dir_path / SKILL_FILE_NAME).is_file(): - results.append(str(dir_path.absolute())) - - if current_depth >= MAX_SEARCH_DEPTH: - return - - try: - entries = list(dir_path.iterdir()) - except OSError: - return - - for entry in entries: - if entry.is_dir(): - _search_directories_for_skills(str(entry), results, current_depth + 1) - - -def _discover_skill_directories(skill_paths: Sequence[str]) -> list[str]: - """Discover all directories containing SKILL.md files.""" - discovered: list[str] = [] - for root_dir in skill_paths: - if not root_dir or not root_dir.strip() or not Path(root_dir).is_dir(): - continue - _search_directories_for_skills(root_dir, discovered, current_depth=0) - return discovered - - -def _discover_and_load_skills(skill_paths: Sequence[str]) -> dict[str, _FileAgentSkill]: - """Discover and load all valid skills from the given paths.""" - skills: dict[str, _FileAgentSkill] = {} - - discovered = _discover_skill_directories(skill_paths) - logger.info("Discovered %d potential skills", len(discovered)) - - for skill_path in discovered: - skill = _parse_skill_file(skill_path) - if skill is None: - continue - - if skill.frontmatter.name in skills: - existing = skills[skill.frontmatter.name] - logger.warning( - "Duplicate skill name '%s': skill from '%s' skipped in favor of existing skill from '%s'", - skill.frontmatter.name, - skill_path, - existing.source_path, - ) - continue - - skills[skill.frontmatter.name] = skill - logger.info("Loaded skill: %s", skill.frontmatter.name) - - logger.info("Successfully loaded %d skills", len(skills)) - return skills - - -def _read_skill_resource(skill: _FileAgentSkill, resource_name: str) -> str: - """Read a resource file from disk with path traversal and symlink guards. - - Args: - skill: The skill that owns the resource. - resource_name: Relative path of the resource within the skill directory. - - Returns: - The UTF-8 text content of the resource file. - - Raises: - ValueError: The resource is not registered, resolves outside the skill - directory, or does not exist. - """ - resource_name = _normalize_resource_path(resource_name) - - # Find the registered resource name with the original casing so the - # file path is correct on case-sensitive filesystems. - registered_name: str | None = None - for r in skill.resource_names: - if r.lower() == resource_name.lower(): - registered_name = r - break - - if registered_name is None: - raise ValueError(f"Resource '{resource_name}' not found in skill '{skill.frontmatter.name}'.") - - full_path = os.path.normpath(Path(skill.source_path) / registered_name) - source_dir = str(Path(skill.source_path).absolute()) - - if not _is_path_within_directory(full_path, source_dir): - raise ValueError(f"Resource file '{resource_name}' references a path outside the skill directory.") - - if not Path(full_path).is_file(): - raise ValueError(f"Resource file '{resource_name}' not found in skill '{skill.frontmatter.name}'.") - - if _has_symlink_in_path(full_path, source_dir): - raise ValueError(f"Resource file '{resource_name}' is a symlink that resolves outside the skill directory.") - - logger.info("Reading resource '%s' from skill '%s'", resource_name, skill.frontmatter.name) - return Path(full_path).read_text(encoding="utf-8") - - -def _build_skills_instruction_prompt( - prompt_template: str | None, - skills: dict[str, _FileAgentSkill], -) -> str | None: - """Build the system prompt advertising available skills.""" - template = _DEFAULT_SKILLS_INSTRUCTION_PROMPT - - if prompt_template is not None: - # Validate that the custom template contains a valid {0} placeholder - try: - prompt_template.format("") - template = prompt_template - except (KeyError, IndexError) as exc: - raise ValueError( - "The provided skills_instruction_prompt is not a valid format string. " - "It must contain a '{0}' placeholder and escape any literal '{' or '}' " - "by doubling them ('{{' or '}}')." - ) from exc - - if not skills: - return None - - lines: list[str] = [] - # Sort by name for deterministic output - for skill in sorted(skills.values(), key=lambda s: s.frontmatter.name): - lines.append(" ") - lines.append(f" {xml_escape(skill.frontmatter.name)}") - lines.append(f" {xml_escape(skill.frontmatter.description)}") - lines.append(" ") - - return template.format("\n".join(lines)) - - -# endregion - -# region Public API - - -class FileAgentSkillsProvider(BaseContextProvider): - """A context provider that discovers and exposes Agent Skills from filesystem directories. - - This provider implements the progressive disclosure pattern from the + Follows the progressive-disclosure pattern from the `Agent Skills specification `_: - 1. **Advertise** — skill names and descriptions are injected into the system prompt - (~100 tokens per skill). - 2. **Load** — the full SKILL.md body is returned via the ``load_skill`` tool. - 3. **Read resources** — supplementary files are read on demand via the - ``read_skill_resource`` tool. + 1. **Advertise** — injects skill names and descriptions into the system + prompt (~100 tokens per skill). + 2. **Load** — returns the full skill body via ``load_skill``. + 3. **Read resources** — returns supplementary content via + ``read_skill_resource``. - Skills are discovered by searching the configured directories for ``SKILL.md`` files. - Referenced resources are validated at initialization; invalid skills are excluded and - logged. + **Security:** file-based metadata is XML-escaped before prompt injection, + and file-based resource reads are guarded against path traversal and + symlink escape. Only use skills from trusted sources. - **Security:** this provider only reads static content. Skill metadata is XML-escaped - before prompt embedding, and resource reads are guarded against path traversal and - symlink escape. Only use skills from trusted sources. + Examples: + File-based only: - Args: - skill_paths: A single path or sequence of paths to search. Each can be an - individual skill folder (containing a SKILL.md file) or a parent folder - with skill subdirectories. + .. code-block:: python - Keyword Args: - skills_instruction_prompt: A custom system prompt template for advertising - skills. Use ``{0}`` as the placeholder for the generated skills list. - When ``None``, a default template is used. - source_id: Unique identifier for this provider instance. - logger: Optional logger instance. When ``None``, uses the module logger. + provider = SkillsProvider(skill_paths="./skills") + + Code-defined only: + + .. code-block:: python + + my_skill = Skill( + name="my-skill", + description="Example skill", + content="Use this skill for ...", + ) + provider = SkillsProvider(skills=[my_skill]) + + Combined: + + .. code-block:: python + + provider = SkillsProvider( + skill_paths="./skills", + skills=[my_skill], + ) + + Attributes: + DEFAULT_SOURCE_ID: Default value for the ``source_id`` used by this provider. """ - DEFAULT_SOURCE_ID: ClassVar[str] = "file_agent_skills" + DEFAULT_SOURCE_ID: ClassVar[str] = "agent_skills" def __init__( self, - skill_paths: str | Path | Sequence[str | Path], + skill_paths: str | Path | Sequence[str | Path] | None = None, *, - skills_instruction_prompt: str | None = None, + skills: Sequence[Skill] | None = None, + instruction_template: str | None = None, + resource_extensions: tuple[str, ...] | None = None, source_id: str | None = None, ) -> None: - """Initialize the FileAgentSkillsProvider. + """Initialize a SkillsProvider. Args: - skill_paths: A single path or sequence of paths to search for skills. + skill_paths: One or more directory paths to search for file-based + skills. Each path may point to an individual skill folder + (containing ``SKILL.md``) or to a parent that contains skill + subdirectories. Keyword Args: - skills_instruction_prompt: Custom system prompt template with ``{0}`` placeholder. + skills: Code-defined :class:`Skill` instances to register. + instruction_template: Custom system-prompt template for + advertising skills. Must contain a ``{skills}`` placeholder for the + generated skills list. Uses a built-in template when ``None``. + resource_extensions: File extensions recognized as discoverable + resources. Defaults to ``DEFAULT_RESOURCE_EXTENSIONS`` + (``(".md", ".json", ".yaml", ".yml", ".csv", ".xml", ".txt")``). source_id: Unique identifier for this provider instance. """ super().__init__(source_id or self.DEFAULT_SOURCE_ID) - resolved_paths: Sequence[str] = ( - [str(skill_paths)] if isinstance(skill_paths, (str, Path)) else [str(p) for p in skill_paths] - ) + self._skills = _load_skills(skill_paths, skills, resource_extensions or DEFAULT_RESOURCE_EXTENSIONS) - self._skills = _discover_and_load_skills(resolved_paths) - self._skills_instruction_prompt = _build_skills_instruction_prompt(skills_instruction_prompt, self._skills) - self._tools = [ + self._instructions = _create_instructions(instruction_template, self._skills) + + self._tools = self._create_tools() + + async def before_run( + self, + *, + agent: SupportsAgentRun, + session: AgentSession, + context: SessionContext, + state: dict[str, Any], + ) -> None: + """Inject skill instructions and tools into the session context. + + Called by the framework before the agent runs. When at least one + skill is registered, appends the skill-list system prompt and the + ``load_skill`` / ``read_skill_resource`` tools to *context*. + + Args: + agent: The agent instance about to run. + session: The current agent session. + context: Session context to extend with instructions and tools. + state: Mutable per-run state dictionary (unused by this provider). + """ + if not self._skills: + return + + if self._instructions: + context.extend_instructions(self.source_id, self._instructions) + context.extend_tools(self.source_id, self._tools) + + def _create_tools(self) -> list[FunctionTool]: + """Create the ``load_skill`` and ``read_skill_resource`` tool definitions. + + Returns: + A two-element list of :class:`FunctionTool` instances. + """ + return [ FunctionTool( name="load_skill", description="Loads the full instructions for a specific skill.", @@ -515,7 +451,7 @@ class FileAgentSkillsProvider(BaseContextProvider): ), FunctionTool( name="read_skill_resource", - description="Reads a file associated with a skill, such as references or assets.", + description="Reads a resource associated with a skill, such as references, assets, or dynamic data.", func=self._read_skill_resource, input_model={ "type": "object", @@ -523,7 +459,7 @@ class FileAgentSkillsProvider(BaseContextProvider): "skill_name": {"type": "string", "description": "The name of the skill."}, "resource_name": { "type": "string", - "description": "The relative path of the resource file.", + "description": "The name of the resource.", }, }, "required": ["skill_name", "resource_name"], @@ -531,34 +467,19 @@ class FileAgentSkillsProvider(BaseContextProvider): ), ] - async def before_run( - self, - *, - agent: SupportsAgentRun, - session: AgentSession, - context: SessionContext, - state: dict[str, Any], - ) -> None: - """Inject skill instructions and tools into the session context. - - When skills are available, adds the skills instruction prompt and - ``load_skill`` / ``read_skill_resource`` tools. - """ - if not self._skills: - return - - if self._skills_instruction_prompt: - context.extend_instructions(self.source_id, self._skills_instruction_prompt) - context.extend_tools(self.source_id, self._tools) - def _load_skill(self, skill_name: str) -> str: - """Load the full instructions for a specific skill. + """Return the full instructions for the named skill. + + For file-based skills the raw ``SKILL.md`` content is returned as-is. + For code-defined skills the content is wrapped in XML metadata and, + when resources exist, an ```` element is appended. Args: skill_name: The name of the skill to load. Returns: - The skill body text, or an error message if not found. + The skill instructions text, or a user-facing error message if + *skill_name* is empty or not found. """ if not skill_name or not skill_name.strip(): return "Error: Skill name cannot be empty." @@ -568,17 +489,41 @@ class FileAgentSkillsProvider(BaseContextProvider): return f"Error: Skill '{skill_name}' not found." logger.info("Loading skill: %s", skill_name) - return skill.body - def _read_skill_resource(self, skill_name: str, resource_name: str) -> str: - """Read a file associated with a skill. + # File-based skills return raw content directly + if skill.path: + return skill.content + + # Code-defined skills: wrap in XML metadata + content = ( + f"{xml_escape(skill.name)}\n" + f"{xml_escape(skill.description)}\n" + "\n" + "\n" + f"{skill.content}\n" + "" + ) + + if skill.resources: + resource_lines = "\n".join(_create_resource_element(r) for r in skill.resources) + content += f"\n\n\n{resource_lines}\n" + + return content + + async def _read_skill_resource(self, skill_name: str, resource_name: str) -> str: + """Read a named resource from a skill. + + Resolves the resource by case-insensitive name lookup. Static + ``content`` is returned directly; callable resources are invoked + (awaited if async). Args: - skill_name: The name of the skill. - resource_name: The relative path of the resource file. + skill_name: The name of the owning skill. + resource_name: The resource name to look up (case-insensitive). Returns: - The resource file content, or an error message if not found. + The resource content string, or a user-facing error message on + failure. """ if not skill_name or not skill_name.strip(): return "Error: Skill name cannot be empty." @@ -590,11 +535,529 @@ class FileAgentSkillsProvider(BaseContextProvider): if skill is None: return f"Error: Skill '{skill_name}' not found." + # Find resource by name (case-insensitive) + resource_name_lower = resource_name.lower() + for resource in skill.resources: + if resource.name.lower() == resource_name_lower: + break + else: + return f"Error: Resource '{resource_name}' not found in skill '{skill_name}'." + + if resource.content is not None: + return resource.content + + if resource.function is not None: + try: + if inspect.iscoroutinefunction(resource.function): + result = await resource.function() + else: + result = resource.function() + return str(result) + except Exception as exc: + logger.exception("Failed to read resource '%s' from skill '%s'", resource_name, skill_name) + return ( + f"Error ({type(exc).__name__}): Failed to read resource" + f" '{resource_name}' from skill '{skill_name}'." + ) + + return f"Error: Resource '{resource.name}' has no content or function." + + +# endregion + +# region Module-level helper functions + + +def _normalize_resource_path(path: str) -> str: + """Normalize a relative resource path to a canonical forward-slash form. + + Converts backslashes to forward slashes and strips leading ``./`` + prefixes so that ``./refs/doc.md`` and ``refs/doc.md`` resolve + identically. + + Args: + path: The relative path to normalize. + + Returns: + A clean forward-slash-separated path string. + """ + return PurePosixPath(path.replace("\\", "/")).as_posix() + + +def _is_path_within_directory(path: str, directory: str) -> bool: + """Return whether *path* resides under *directory*. + + Comparison uses :meth:`pathlib.Path.is_relative_to`, which respects + per-platform case-sensitivity rules. + + Args: + path: Absolute path to check. + directory: Directory that must be an ancestor of *path*. + + Returns: + ``True`` if *path* is a descendant of *directory*. + """ + try: + return Path(path).is_relative_to(directory) + except (ValueError, OSError): + return False + + +def _has_symlink_in_path(path: str, directory: str) -> bool: + """Detect symlinks in the portion of *path* below *directory*. + + Only segments below *directory* are inspected; the directory itself + and anything above it are not checked. + + **Precondition:** *path* must be a descendant of *directory*. + Call :func:`_is_path_within_directory` first to verify containment. + + Args: + path: Absolute path to inspect. + directory: Root directory; segments above it are not checked. + + Returns: + ``True`` if any intermediate segment below *directory* is a symlink. + + Raises: + ValueError: If *path* is not relative to *directory*. + """ + dir_path = Path(directory) + try: + relative = Path(path).relative_to(dir_path) + except ValueError as exc: + raise ValueError(f"path {path!r} does not start with directory {directory!r}") from exc + + current = dir_path + for part in relative.parts: + current = current / part + if current.is_symlink(): + return True + return False + + +def _discover_resource_files( + skill_dir_path: str, + extensions: tuple[str, ...] = DEFAULT_RESOURCE_EXTENSIONS, +) -> list[str]: + """Scan a skill directory for resource files matching *extensions*. + + Recursively walks *skill_dir_path* and collects files whose extension + is in *extensions*, excluding ``SKILL.md`` itself. Each candidate is + validated against path-traversal and symlink-escape checks; unsafe + files are skipped with a warning. + + Args: + skill_dir_path: Absolute path to the skill directory to scan. + extensions: Tuple of allowed file extensions (e.g. ``(".md", ".json")``). + + Returns: + Relative resource paths (forward-slash-separated) for every + discovered file that passes security checks. + """ + skill_dir = Path(skill_dir_path).absolute() + root_directory_path = str(skill_dir) + resources: list[str] = [] + normalized_extensions = {e.lower() for e in extensions} + + for resource_file in skill_dir.rglob("*"): + if not resource_file.is_file(): + continue + + if resource_file.name.upper() == SKILL_FILE_NAME.upper(): + continue + + if resource_file.suffix.lower() not in normalized_extensions: + continue + + resource_full_path = str(Path(os.path.normpath(resource_file)).absolute()) + + if not _is_path_within_directory(resource_full_path, root_directory_path): + logger.warning( + "Skipping resource '%s': resolves outside skill directory '%s'", + resource_file, + skill_dir_path, + ) + continue + + if _has_symlink_in_path(resource_full_path, root_directory_path): + logger.warning( + "Skipping resource '%s': symlink detected in path under skill directory '%s'", + resource_file, + skill_dir_path, + ) + continue + + rel_path = resource_file.relative_to(skill_dir) + resources.append(_normalize_resource_path(str(rel_path))) + + return resources + + +def _validate_skill_metadata( + name: str | None, + description: str | None, + source: str, +) -> str | None: + """Validate a skill's name and description against naming rules. + + Enforces length limits, character-set restrictions, and non-emptiness + for both file-based and code-defined skills. + + Args: + name: Skill name to validate. + description: Skill description to validate. + source: Human-readable label for diagnostics (e.g. a file path + or ``"code skill"``). + + Returns: + A diagnostic error string if validation fails, or ``None`` if valid. + """ + if not name or not name.strip(): + return f"Skill from '{source}' is missing a name." + + if len(name) > MAX_NAME_LENGTH or not VALID_NAME_RE.match(name): + return ( + f"Skill from '{source}' has an invalid name '{name}': Must be {MAX_NAME_LENGTH} characters or fewer, " + "using only lowercase letters, numbers, and hyphens, and must not start or end with a hyphen." + ) + + if not description or not description.strip(): + return f"Skill '{name}' from '{source}' is missing a description." + + if len(description) > MAX_DESCRIPTION_LENGTH: + return ( + f"Skill '{name}' from '{source}' has an invalid description: " + f"Must be {MAX_DESCRIPTION_LENGTH} characters or fewer." + ) + + return None + + +def _extract_frontmatter( + content: str, + skill_file_path: str, +) -> tuple[str, str] | None: + """Extract and validate YAML frontmatter from a SKILL.md file. + + Parses the ``---``-delimited frontmatter block for ``name`` and + ``description`` fields. + + Args: + content: Raw text content of the SKILL.md file. + skill_file_path: Path to the file (used in diagnostic messages only). + + Returns: + A ``(name, description)`` tuple on success, or ``None`` if the + frontmatter is missing, malformed, or fails validation. + """ + match = FRONTMATTER_RE.search(content) + if not match: + logger.error("SKILL.md at '%s' does not contain valid YAML frontmatter delimited by '---'", skill_file_path) + return None + + yaml_content = match.group(1).strip() + name: str | None = None + description: str | None = None + + for kv_match in YAML_KV_RE.finditer(yaml_content): + key = kv_match.group(1) + value = kv_match.group(2) if kv_match.group(2) is not None else kv_match.group(3) + + if key.lower() == "name": + name = value + elif key.lower() == "description": + description = value + + error = _validate_skill_metadata(name, description, skill_file_path) + if error: + logger.error(error) + return None + + # name and description are guaranteed non-None after validation + return name, description # type: ignore[return-value] + + +def _read_and_parse_skill_file( + skill_dir_path: str, +) -> tuple[str, str, str] | None: + """Read and parse the SKILL.md file in *skill_dir_path*. + + Args: + skill_dir_path: Absolute path to the directory containing ``SKILL.md``. + + Returns: + A ``(name, description, content)`` tuple where *content* is the + full raw file text, or ``None`` if the file cannot be read or + its frontmatter is invalid. + """ + skill_file = Path(skill_dir_path) / SKILL_FILE_NAME + + try: + content = skill_file.read_text(encoding="utf-8") + except OSError: + logger.error("Failed to read SKILL.md at '%s'", skill_file) + return None + + result = _extract_frontmatter(content, str(skill_file)) + if result is None: + return None + + name, description = result + return name, description, content + + +def _discover_skill_directories(skill_paths: Sequence[str]) -> list[str]: + """Return absolute paths of all directories that contain a ``SKILL.md`` file. + + Recursively searches each root path up to :data:`MAX_SEARCH_DEPTH`. + + Args: + skill_paths: Root directory paths to search. + + Returns: + Absolute paths to directories containing ``SKILL.md``. + """ + discovered: list[str] = [] + + def _search(directory: str, current_depth: int) -> None: + dir_path = Path(directory) + if (dir_path / SKILL_FILE_NAME).is_file(): + discovered.append(str(dir_path.absolute())) + + if current_depth >= MAX_SEARCH_DEPTH: + return + try: - return _read_skill_resource(skill, resource_name) - except Exception: - logger.exception("Failed to read resource '%s' from skill '%s'", resource_name, skill_name) - return f"Error: Failed to read resource '{resource_name}' from skill '{skill_name}'." + entries = list(dir_path.iterdir()) + except OSError: + return + + for entry in entries: + if entry.is_dir(): + _search(str(entry), current_depth + 1) + + for root_dir in skill_paths: + if not root_dir or not root_dir.strip() or not Path(root_dir).is_dir(): + continue + _search(root_dir, current_depth=0) + + return discovered + + +def _read_file_skill_resource(skill: Skill, resource_name: str) -> str: + """Read a file-based resource from disk with security guards. + + Validates that the resolved path stays within the skill directory and + does not traverse any symlinks before reading. + + Args: + skill: The owning skill (must have a non-``None`` :attr:`~Skill.path`). + resource_name: Relative path of the resource within the skill directory. + + Returns: + The UTF-8 text content of the resource file. + + Raises: + ValueError: If the resolved path escapes the skill directory, + the file does not exist, or a symlink is detected in the path. + """ + resource_name = _normalize_resource_path(resource_name) + + if not skill.path: + raise ValueError(f"Skill '{skill.name}' has no path set; cannot read file-based resources.") + + resource_full_path = os.path.normpath(Path(skill.path) / resource_name) + root_directory_path = os.path.normpath(skill.path) + + if not _is_path_within_directory(resource_full_path, root_directory_path): + raise ValueError(f"Resource file '{resource_name}' references a path outside the skill directory.") + + if not Path(resource_full_path).is_file(): + raise ValueError(f"Resource file '{resource_name}' not found in skill '{skill.name}'.") + + if _has_symlink_in_path(resource_full_path, root_directory_path): + raise ValueError( + f"Resource file '{resource_name}' in skill '{skill.name}' " + "has a symlink in its path; symlinks are not allowed." + ) + + logger.info("Reading resource '%s' from skill '%s'", resource_name, skill.name) + return Path(resource_full_path).read_text(encoding="utf-8") + + +def _discover_file_skills( + skill_paths: str | Path | Sequence[str | Path] | None, + resource_extensions: tuple[str, ...] = DEFAULT_RESOURCE_EXTENSIONS, +) -> dict[str, Skill]: + """Discover, parse, and load all file-based skills from the given paths. + + Each discovered ``SKILL.md`` is parsed for metadata, and resource files + in the same directory are wrapped in lazy-read closures that perform + security checks (path traversal, symlink escape) at read time. + + Args: + skill_paths: Directory path(s) to scan, or ``None`` to skip. + resource_extensions: File extensions recognized as resources. + + Returns: + A dict mapping skill name → :class:`Skill`. + """ + if skill_paths is None: + return {} + + resolved_paths: list[str] = ( + [str(skill_paths)] if isinstance(skill_paths, (str, Path)) else [str(p) for p in skill_paths] + ) + + skills: dict[str, Skill] = {} + + discovered = _discover_skill_directories(resolved_paths) + logger.info("Discovered %d potential skills", len(discovered)) + + for skill_path in discovered: + parsed = _read_and_parse_skill_file(skill_path) + if parsed is None: + continue + + name, description, content = parsed + + if name in skills: + logger.warning( + "Duplicate skill name '%s': skill from '%s' skipped in favor of existing skill", + name, + skill_path, + ) + continue + + file_skill = Skill( + name=name, + description=description, + content=content, + path=skill_path, + ) + + # Discover and attach file-based resources as SkillResource closures + for rn in _discover_resource_files(skill_path, resource_extensions): + reader = (lambda s, r: lambda: _read_file_skill_resource(s, r))(file_skill, rn) + file_skill.resources.append(SkillResource(name=rn, function=reader)) + + skills[file_skill.name] = file_skill + logger.info("Loaded skill: %s", file_skill.name) + + logger.info("Successfully loaded %d skills", len(skills)) + return skills + + +def _load_skills( + skill_paths: str | Path | Sequence[str | Path] | None, + skills: Sequence[Skill] | None, + resource_extensions: tuple[str, ...], +) -> dict[str, Skill]: + """Discover and merge skills from file paths and code-defined skills. + + File-based skills are discovered first. Code-defined skills are then + merged in; if a code-defined skill has the same name as an existing + file-based skill, the code-defined one is skipped with a warning. + + Args: + skill_paths: Directory path(s) to scan for ``SKILL.md`` files, or ``None``. + skills: Code-defined :class:`Skill` instances, or ``None``. + resource_extensions: File extensions recognized as discoverable resources. + + Returns: + A dict mapping skill name → :class:`Skill`. + """ + result = _discover_file_skills(skill_paths, resource_extensions) + + if skills: + for code_skill in skills: + error = _validate_skill_metadata( + code_skill.name, code_skill.description, "code skill" + ) + if error: + logger.warning(error) + continue + if code_skill.name in result: + logger.warning( + "Duplicate skill name '%s': code skill skipped in favor of existing skill", + code_skill.name, + ) + continue + result[code_skill.name] = code_skill + logger.info("Registered code skill: %s", code_skill.name) + + return result + + +def _create_resource_element(resource: SkillResource) -> str: + """Create a self-closing ```` XML element from an :class:`SkillResource`. + + Args: + resource: The resource to create the element from. + + Returns: + A single indented XML element string with ``name`` and optional + ``description`` attributes. + """ + attrs = f'name="{xml_escape(resource.name, quote=True)}"' + if resource.description: + attrs += f' description="{xml_escape(resource.description, quote=True)}"' + return f" " + + +def _create_instructions( + prompt_template: str | None, + skills: dict[str, Skill], +) -> str | None: + """Create the system-prompt text that advertises available skills. + + Generates an XML list of ```` elements (sorted by name) and + inserts it into *prompt_template* at the ``{skills}`` placeholder. + + Args: + prompt_template: Custom template string with a ``{skills}`` placeholder, + or ``None`` to use the built-in default. + skills: Registered skills keyed by name. + + Returns: + The formatted instruction string, or ``None`` when *skills* is empty. + + Raises: + ValueError: If *prompt_template* is not a valid format string + (e.g. missing ``{skills}`` placeholder). + """ + template = DEFAULT_SKILLS_INSTRUCTION_PROMPT + + if prompt_template is not None: + # Validate that the custom template contains a valid {skills} placeholder + try: + result = prompt_template.format(skills="__PROBE__") + except (KeyError, IndexError, ValueError) as exc: + raise ValueError( + "The provided instruction_template is not a valid format string. " + "It must contain a '{skills}' placeholder and escape any literal" # noqa: RUF027 + " '{' or '}' " + "by doubling them ('{{' or '}}')." + ) from exc + if "__PROBE__" not in result: + raise ValueError( + "The provided instruction_template must contain a '{skills}' placeholder." # noqa: RUF027 + ) + template = prompt_template + + if not skills: + return None + + lines: list[str] = [] + # Sort by name for deterministic output + for skill in sorted(skills.values(), key=lambda s: s.name): + lines.append(" ") + lines.append(f" {xml_escape(skill.name)}") + lines.append(f" {xml_escape(skill.description)}") + lines.append(" ") + + return template.format(skills="\n".join(lines)) # endregion diff --git a/python/packages/core/tests/core/test_skills.py b/python/packages/core/tests/core/test_skills.py index a77f214718..c572f4727b 100644 --- a/python/packages/core/tests/core/test_skills.py +++ b/python/packages/core/tests/core/test_skills.py @@ -1,6 +1,6 @@ # Copyright (c) Microsoft. All rights reserved. -"""Tests for file-based Agent Skills provider.""" +"""Tests for Agent Skills provider (file-based and code-defined).""" from __future__ import annotations @@ -10,17 +10,21 @@ from unittest.mock import AsyncMock import pytest -from agent_framework import FileAgentSkillsProvider, SessionContext +from agent_framework import Skill, SkillResource, SkillsProvider, SessionContext from agent_framework._skills import ( - _build_skills_instruction_prompt, - _discover_and_load_skills, - _extract_resource_paths, - _FileAgentSkill, + DEFAULT_RESOURCE_EXTENSIONS, + _create_instructions, + _create_resource_element, + _discover_file_skills, + _discover_resource_files, + _discover_skill_directories, + _extract_frontmatter, _has_symlink_in_path, + _is_path_within_directory, _normalize_resource_path, - _read_skill_resource, - _SkillFrontmatter, - _try_parse_skill_document, + _read_and_parse_skill_file, + _read_file_skill_resource, + _validate_skill_metadata, ) @@ -70,6 +74,19 @@ def _write_skill( return skill_dir +def _read_and_parse_skill_file_for_test(skill_dir: Path) -> Skill: + """Parse a SKILL.md file from the given directory, raising if invalid.""" + result = _read_and_parse_skill_file(str(skill_dir)) + assert result is not None, f"Failed to parse skill at {skill_dir}" + name, description, content = result + return Skill( + name=name, + description=description, + content=content, + path=str(skill_dir), + ) + + # --------------------------------------------------------------------------- # Tests: module-level helper functions # --------------------------------------------------------------------------- @@ -91,115 +108,150 @@ class TestNormalizeResourcePath: assert _normalize_resource_path("refs/doc.md") == "refs/doc.md" -class TestExtractResourcePaths: - """Tests for _extract_resource_paths.""" +class TestDiscoverResourceFiles: + """Tests for _discover_resource_files (filesystem-based resource discovery).""" - def test_extracts_markdown_links(self) -> None: - content = "See [doc](refs/FAQ.md) and [template](assets/template.md)." - paths = _extract_resource_paths(content) - assert paths == ["refs/FAQ.md", "assets/template.md"] + def test_discovers_md_files(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "SKILL.md").write_text("---\nname: s\ndescription: d\n---\n", encoding="utf-8") + refs = skill_dir / "refs" + refs.mkdir() + (refs / "FAQ.md").write_text("FAQ content", encoding="utf-8") + resources = _discover_resource_files(str(skill_dir)) + assert "refs/FAQ.md" in resources - def test_deduplicates_case_insensitive(self) -> None: - content = "See [a](refs/FAQ.md) and [b](refs/faq.md)." - paths = _extract_resource_paths(content) - assert len(paths) == 1 + def test_excludes_skill_md(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "SKILL.md").write_text("content", encoding="utf-8") + resources = _discover_resource_files(str(skill_dir)) + assert len(resources) == 0 - def test_normalizes_dot_slash_prefix(self) -> None: - content = "See [doc](./refs/FAQ.md)." - paths = _extract_resource_paths(content) - assert paths == ["refs/FAQ.md"] + def test_discovers_multiple_extensions(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "data.json").write_text("{}", encoding="utf-8") + (skill_dir / "config.yaml").write_text("key: val", encoding="utf-8") + (skill_dir / "notes.txt").write_text("notes", encoding="utf-8") + resources = _discover_resource_files(str(skill_dir)) + assert len(resources) == 3 + names = set(resources) + assert "data.json" in names + assert "config.yaml" in names + assert "notes.txt" in names - def test_ignores_urls(self) -> None: - content = "See [link](https://example.com/doc.md)." - paths = _extract_resource_paths(content) - assert paths == [] + def test_ignores_unsupported_extensions(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "image.png").write_bytes(b"\x89PNG") + (skill_dir / "binary.exe").write_bytes(b"\x00") + resources = _discover_resource_files(str(skill_dir)) + assert len(resources) == 0 - def test_empty_content(self) -> None: - assert _extract_resource_paths("") == [] + def test_custom_extensions(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "data.json").write_text("{}", encoding="utf-8") + (skill_dir / "notes.txt").write_text("notes", encoding="utf-8") + resources = _discover_resource_files(str(skill_dir), extensions=(".json",)) + assert resources == ["data.json"] - def test_extracts_backtick_quoted_paths(self) -> None: - content = "Use the template at `assets/template.md` and the script `./scripts/run.py`." - paths = _extract_resource_paths(content) - assert paths == ["assets/template.md", "scripts/run.py"] + def test_discovers_nested_files(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + sub = skill_dir / "refs" / "deep" + sub.mkdir(parents=True) + (sub / "doc.md").write_text("deep doc", encoding="utf-8") + resources = _discover_resource_files(str(skill_dir)) + assert "refs/deep/doc.md" in resources - def test_deduplicates_across_link_and_backtick(self) -> None: - content = "See [doc](refs/FAQ.md) and also `refs/FAQ.md`." - paths = _extract_resource_paths(content) - assert len(paths) == 1 + def test_empty_directory(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + resources = _discover_resource_files(str(skill_dir)) + assert resources == [] + + def test_default_extensions_match_constant(self) -> None: + assert ".md" in DEFAULT_RESOURCE_EXTENSIONS + assert ".json" in DEFAULT_RESOURCE_EXTENSIONS + assert ".yaml" in DEFAULT_RESOURCE_EXTENSIONS + assert ".yml" in DEFAULT_RESOURCE_EXTENSIONS + assert ".csv" in DEFAULT_RESOURCE_EXTENSIONS + assert ".xml" in DEFAULT_RESOURCE_EXTENSIONS + assert ".txt" in DEFAULT_RESOURCE_EXTENSIONS class TestTryParseSkillDocument: - """Tests for _try_parse_skill_document.""" + """Tests for _extract_frontmatter.""" def test_valid_skill(self) -> None: content = "---\nname: test-skill\ndescription: A test skill.\n---\n# Body\nInstructions here." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is not None - frontmatter, body = result - assert frontmatter.name == "test-skill" - assert frontmatter.description == "A test skill." - assert "Instructions here." in body + name, description = result + assert name == "test-skill" + assert description == "A test skill." def test_quoted_values(self) -> None: content = "---\nname: \"test-skill\"\ndescription: 'A test skill.'\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is not None - assert result[0].name == "test-skill" - assert result[0].description == "A test skill." + assert result[0] == "test-skill" + assert result[1] == "A test skill." def test_utf8_bom(self) -> None: content = "\ufeff---\nname: test-skill\ndescription: A test skill.\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is not None - assert result[0].name == "test-skill" + assert result[0] == "test-skill" def test_missing_frontmatter(self) -> None: content = "# Just a markdown file\nNo frontmatter here." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is None def test_missing_name(self) -> None: content = "---\ndescription: A test skill.\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is None def test_missing_description(self) -> None: content = "---\nname: test-skill\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is None def test_invalid_name_uppercase(self) -> None: content = "---\nname: Test-Skill\ndescription: A test skill.\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is None def test_invalid_name_starts_with_hyphen(self) -> None: content = "---\nname: -test-skill\ndescription: A test skill.\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is None def test_invalid_name_ends_with_hyphen(self) -> None: content = "---\nname: test-skill-\ndescription: A test skill.\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is None def test_name_too_long(self) -> None: long_name = "a" * 65 content = f"---\nname: {long_name}\ndescription: A test skill.\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is None def test_description_too_long(self) -> None: long_desc = "a" * 1025 content = f"---\nname: test-skill\ndescription: {long_desc}\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is None def test_extra_metadata_ignored(self) -> None: content = "---\nname: test-skill\ndescription: A test skill.\nauthor: someone\nversion: 1.0\n---\nBody." - result = _try_parse_skill_document(content, "test.md") + result = _extract_frontmatter(content, "test.md") assert result is not None - assert result[0].name == "test-skill" + assert result[0] == "test-skill" # --------------------------------------------------------------------------- @@ -208,19 +260,19 @@ class TestTryParseSkillDocument: class TestDiscoverAndLoadSkills: - """Tests for _discover_and_load_skills.""" + """Tests for _discover_file_skills.""" def test_discovers_valid_skill(self, tmp_path: Path) -> None: _write_skill(tmp_path, "my-skill") - skills = _discover_and_load_skills([str(tmp_path)]) + skills = _discover_file_skills([str(tmp_path)]) assert "my-skill" in skills - assert skills["my-skill"].frontmatter.name == "my-skill" + assert skills["my-skill"].name == "my-skill" def test_discovers_nested_skills(self, tmp_path: Path) -> None: skills_dir = tmp_path / "skills" _write_skill(skills_dir, "skill-a") _write_skill(skills_dir, "skill-b") - skills = _discover_and_load_skills([str(skills_dir)]) + skills = _discover_file_skills([str(skills_dir)]) assert len(skills) == 2 assert "skill-a" in skills assert "skill-b" in skills @@ -229,7 +281,7 @@ class TestDiscoverAndLoadSkills: skill_dir = tmp_path / "bad-skill" skill_dir.mkdir() (skill_dir / "SKILL.md").write_text("No frontmatter here.", encoding="utf-8") - skills = _discover_and_load_skills([str(tmp_path)]) + skills = _discover_file_skills([str(tmp_path)]) assert len(skills) == 0 def test_deduplicates_skill_names(self, tmp_path: Path) -> None: @@ -237,16 +289,16 @@ class TestDiscoverAndLoadSkills: dir2 = tmp_path / "dir2" _write_skill(dir1, "my-skill", body="First") _write_skill(dir2, "my-skill", body="Second") - skills = _discover_and_load_skills([str(dir1), str(dir2)]) + skills = _discover_file_skills([str(dir1), str(dir2)]) assert len(skills) == 1 - assert skills["my-skill"].body == "First" + assert "First" in skills["my-skill"].content def test_empty_directory(self, tmp_path: Path) -> None: - skills = _discover_and_load_skills([str(tmp_path)]) + skills = _discover_file_skills([str(tmp_path)]) assert len(skills) == 0 def test_nonexistent_directory(self) -> None: - skills = _discover_and_load_skills(["/nonexistent/path"]) + skills = _discover_file_skills(["/nonexistent/path"]) assert len(skills) == 0 def test_multiple_paths(self, tmp_path: Path) -> None: @@ -254,7 +306,7 @@ class TestDiscoverAndLoadSkills: dir2 = tmp_path / "dir2" _write_skill(dir1, "skill-a") _write_skill(dir2, "skill-b") - skills = _discover_and_load_skills([str(dir1), str(dir2)]) + skills = _discover_file_skills([str(dir1), str(dir2)]) assert len(skills) == 2 def test_depth_limit(self, tmp_path: Path) -> None: @@ -265,40 +317,33 @@ class TestDiscoverAndLoadSkills: deep = tmp_path / "level1" / "level2" / "level3" deep.mkdir(parents=True) (deep / "SKILL.md").write_text("---\nname: deep-skill\ndescription: Too deep.\n---\nBody.", encoding="utf-8") - skills = _discover_and_load_skills([str(tmp_path)]) + skills = _discover_file_skills([str(tmp_path)]) assert "deep-skill" not in skills def test_skill_with_resources(self, tmp_path: Path) -> None: _write_skill( tmp_path, "my-skill", - body="See [doc](refs/FAQ.md).", + body="Instructions here.", resources={"refs/FAQ.md": "FAQ content"}, ) - skills = _discover_and_load_skills([str(tmp_path)]) + skills = _discover_file_skills([str(tmp_path)]) assert "my-skill" in skills - assert skills["my-skill"].resource_names == ["refs/FAQ.md"] + assert [r.name for r in skills["my-skill"].resources] == ["refs/FAQ.md"] - def test_excludes_skill_with_missing_resource(self, tmp_path: Path) -> None: + def test_skill_discovers_all_resource_files(self, tmp_path: Path) -> None: + """Resources are discovered by filesystem scan, not by markdown links.""" _write_skill( tmp_path, "my-skill", - body="See [doc](refs/MISSING.md).", + body="No links here.", + resources={"data.json": '{"key": "val"}', "refs/doc.md": "doc content"}, ) - skills = _discover_and_load_skills([str(tmp_path)]) - assert len(skills) == 0 - - def test_excludes_skill_with_path_traversal_resource(self, tmp_path: Path) -> None: - _write_skill( - tmp_path, - "my-skill", - body="See [doc](../secret.md).", - resources={}, # resource points outside - ) - # Create the file outside the skill directory - (tmp_path / "secret.md").write_text("secret", encoding="utf-8") - skills = _discover_and_load_skills([str(tmp_path)]) - assert len(skills) == 0 + skills = _discover_file_skills([str(tmp_path)]) + assert "my-skill" in skills + resource_names = sorted(r.name for r in skills["my-skill"].resources) + assert "data.json" in resource_names + assert "refs/doc.md" in resource_names # --------------------------------------------------------------------------- @@ -307,7 +352,7 @@ class TestDiscoverAndLoadSkills: class TestReadSkillResource: - """Tests for _read_skill_resource.""" + """Tests for _read_file_skill_resource.""" def test_reads_valid_resource(self, tmp_path: Path) -> None: _write_skill( @@ -316,8 +361,8 @@ class TestReadSkillResource: body="See [doc](refs/FAQ.md).", resources={"refs/FAQ.md": "FAQ content here"}, ) - skills = _discover_and_load_skills([str(tmp_path)]) - content = _read_skill_resource(skills["my-skill"], "refs/FAQ.md") + file_skill = _read_and_parse_skill_file_for_test(tmp_path / "my-skill") + content = _read_file_skill_resource(file_skill, "refs/FAQ.md") assert content == "FAQ content here" def test_normalizes_dot_slash(self, tmp_path: Path) -> None: @@ -327,74 +372,70 @@ class TestReadSkillResource: body="See [doc](refs/FAQ.md).", resources={"refs/FAQ.md": "FAQ content"}, ) - skills = _discover_and_load_skills([str(tmp_path)]) - content = _read_skill_resource(skills["my-skill"], "./refs/FAQ.md") + file_skill = _read_and_parse_skill_file_for_test(tmp_path / "my-skill") + content = _read_file_skill_resource(file_skill, "./refs/FAQ.md") assert content == "FAQ content" def test_unregistered_resource_raises(self, tmp_path: Path) -> None: _write_skill(tmp_path, "my-skill") - skills = _discover_and_load_skills([str(tmp_path)]) + file_skill = _read_and_parse_skill_file_for_test(tmp_path / "my-skill") with pytest.raises(ValueError, match="not found in skill"): - _read_skill_resource(skills["my-skill"], "nonexistent.md") + _read_file_skill_resource(file_skill, "nonexistent.md") - def test_case_insensitive_lookup_uses_registered_casing(self, tmp_path: Path) -> None: + def test_reads_resource_with_exact_casing(self, tmp_path: Path) -> None: + """Direct file read uses the given resource name for path resolution.""" _write_skill( tmp_path, "my-skill", body="See [doc](refs/FAQ.md).", resources={"refs/FAQ.md": "FAQ content"}, ) - skills = _discover_and_load_skills([str(tmp_path)]) - # Request with different casing; the registered name should be used for the file path - content = _read_skill_resource(skills["my-skill"], "REFS/faq.md") + file_skill = _read_and_parse_skill_file_for_test(tmp_path / "my-skill") + content = _read_file_skill_resource(file_skill, "refs/FAQ.md") assert content == "FAQ content" def test_path_traversal_raises(self, tmp_path: Path) -> None: - skill = _FileAgentSkill( - frontmatter=_SkillFrontmatter("test", "Test skill"), - body="Body", - source_path=str(tmp_path / "skill"), - resource_names=["../secret.md"], + skill = Skill( + name="test", + description="Test skill", + content="Body", + path=str(tmp_path / "skill"), ) (tmp_path / "secret.md").write_text("secret", encoding="utf-8") with pytest.raises(ValueError, match="outside the skill directory"): - _read_skill_resource(skill, "../secret.md") + _read_file_skill_resource(skill, "../secret.md") def test_similar_prefix_directory_does_not_match(self, tmp_path: Path) -> None: """A skill directory named 'skill-a-evil' must not access resources from 'skill-a'.""" - skill = _FileAgentSkill( - frontmatter=_SkillFrontmatter("test", "Test skill"), - body="Body", - source_path=str(tmp_path / "skill-a"), - resource_names=["../skill-a-evil/secret.md"], + skill = Skill( + name="test", + description="Test skill", + content="Body", + path=str(tmp_path / "skill-a"), ) evil_dir = tmp_path / "skill-a-evil" evil_dir.mkdir() (evil_dir / "secret.md").write_text("evil", encoding="utf-8") with pytest.raises(ValueError, match="outside the skill directory"): - _read_skill_resource(skill, "../skill-a-evil/secret.md") + _read_file_skill_resource(skill, "../skill-a-evil/secret.md") # --------------------------------------------------------------------------- -# Tests: _build_skills_instruction_prompt +# Tests: _create_instructions # --------------------------------------------------------------------------- class TestBuildSkillsInstructionPrompt: - """Tests for _build_skills_instruction_prompt.""" + """Tests for _create_instructions.""" def test_returns_none_for_empty_skills(self) -> None: - assert _build_skills_instruction_prompt(None, {}) is None + assert _create_instructions(None, {}) is None def test_default_prompt_contains_skills(self) -> None: skills = { - "my-skill": _FileAgentSkill( - frontmatter=_SkillFrontmatter("my-skill", "Does stuff."), - body="Body", - source_path="/tmp/skill", - ), + "my-skill": Skill(name="my-skill", description="Does stuff.", content="Body"), } - prompt = _build_skills_instruction_prompt(None, skills) + prompt = _create_instructions(None, skills) assert prompt is not None assert "my-skill" in prompt assert "Does stuff." in prompt @@ -402,18 +443,10 @@ class TestBuildSkillsInstructionPrompt: def test_skills_sorted_alphabetically(self) -> None: skills = { - "zebra": _FileAgentSkill( - frontmatter=_SkillFrontmatter("zebra", "Z skill."), - body="Body", - source_path="/tmp/z", - ), - "alpha": _FileAgentSkill( - frontmatter=_SkillFrontmatter("alpha", "A skill."), - body="Body", - source_path="/tmp/a", - ), + "zebra": Skill(name="zebra", description="Z skill.", content="Body"), + "alpha": Skill(name="alpha", description="A skill.", content="Body"), } - prompt = _build_skills_instruction_prompt(None, skills) + prompt = _create_instructions(None, skills) assert prompt is not None alpha_pos = prompt.index("alpha") zebra_pos = prompt.index("zebra") @@ -421,62 +454,57 @@ class TestBuildSkillsInstructionPrompt: def test_xml_escapes_metadata(self) -> None: skills = { - "my-skill": _FileAgentSkill( - frontmatter=_SkillFrontmatter("my-skill", 'Uses & "quotes"'), - body="Body", - source_path="/tmp/skill", - ), + "my-skill": Skill(name="my-skill", description='Uses & "quotes"', content="Body"), } - prompt = _build_skills_instruction_prompt(None, skills) + prompt = _create_instructions(None, skills) assert prompt is not None assert "<tags>" in prompt assert "&" in prompt def test_custom_prompt_template(self) -> None: skills = { - "my-skill": _FileAgentSkill( - frontmatter=_SkillFrontmatter("my-skill", "Does stuff."), - body="Body", - source_path="/tmp/skill", - ), + "my-skill": Skill(name="my-skill", description="Does stuff.", content="Body"), } - custom = "Custom header:\n{0}\nCustom footer." - prompt = _build_skills_instruction_prompt(custom, skills) + custom = "Custom header:\n{skills}\nCustom footer." + prompt = _create_instructions(custom, skills) assert prompt is not None assert prompt.startswith("Custom header:") assert prompt.endswith("Custom footer.") def test_invalid_prompt_template_raises(self) -> None: skills = { - "my-skill": _FileAgentSkill( - frontmatter=_SkillFrontmatter("my-skill", "Does stuff."), - body="Body", - source_path="/tmp/skill", - ), + "my-skill": Skill(name="my-skill", description="Does stuff.", content="Body"), } with pytest.raises(ValueError, match="valid format string"): - _build_skills_instruction_prompt("{invalid}", skills) + _create_instructions("{invalid}", skills) + + def test_positional_placeholder_raises(self) -> None: + skills = { + "my-skill": Skill(name="my-skill", description="Does stuff.", content="Body"), + } + with pytest.raises(ValueError, match="valid format string"): + _create_instructions("Header {0} footer", skills) # --------------------------------------------------------------------------- -# Tests: FileAgentSkillsProvider +# Tests: SkillsProvider (file-based) # --------------------------------------------------------------------------- -class TestFileAgentSkillsProvider: - """Tests for the public FileAgentSkillsProvider class.""" +class TestSkillsProvider: + """Tests for file-based usage of SkillsProvider.""" def test_default_source_id(self, tmp_path: Path) -> None: - provider = FileAgentSkillsProvider(str(tmp_path)) - assert provider.source_id == "file_agent_skills" + provider = SkillsProvider(str(tmp_path)) + assert provider.source_id == "agent_skills" def test_custom_source_id(self, tmp_path: Path) -> None: - provider = FileAgentSkillsProvider(str(tmp_path), source_id="custom") + provider = SkillsProvider(str(tmp_path), source_id="custom") assert provider.source_id == "custom" def test_accepts_single_path_string(self, tmp_path: Path) -> None: _write_skill(tmp_path, "my-skill") - provider = FileAgentSkillsProvider(str(tmp_path)) + provider = SkillsProvider(str(tmp_path)) assert len(provider._skills) == 1 def test_accepts_sequence_of_paths(self, tmp_path: Path) -> None: @@ -484,12 +512,12 @@ class TestFileAgentSkillsProvider: dir2 = tmp_path / "dir2" _write_skill(dir1, "skill-a") _write_skill(dir2, "skill-b") - provider = FileAgentSkillsProvider([str(dir1), str(dir2)]) + provider = SkillsProvider([str(dir1), str(dir2)]) assert len(provider._skills) == 2 async def test_before_run_with_skills(self, tmp_path: Path) -> None: _write_skill(tmp_path, "my-skill") - provider = FileAgentSkillsProvider(str(tmp_path)) + provider = SkillsProvider(str(tmp_path)) context = SessionContext(input_messages=[]) await provider.before_run( @@ -506,7 +534,7 @@ class TestFileAgentSkillsProvider: assert tool_names == {"load_skill", "read_skill_resource"} async def test_before_run_without_skills(self, tmp_path: Path) -> None: - provider = FileAgentSkillsProvider(str(tmp_path)) + provider = SkillsProvider(str(tmp_path)) context = SessionContext(input_messages=[]) await provider.before_run( @@ -521,53 +549,64 @@ class TestFileAgentSkillsProvider: def test_load_skill_returns_body(self, tmp_path: Path) -> None: _write_skill(tmp_path, "my-skill", body="Skill body content.") - provider = FileAgentSkillsProvider(str(tmp_path)) + provider = SkillsProvider(str(tmp_path)) result = provider._load_skill("my-skill") - assert result == "Skill body content." + assert "Skill body content." in result - def test_load_skill_unknown_returns_error(self, tmp_path: Path) -> None: - provider = FileAgentSkillsProvider(str(tmp_path)) - result = provider._load_skill("nonexistent") - assert result.startswith("Error:") - - def test_load_skill_empty_name_returns_error(self, tmp_path: Path) -> None: - provider = FileAgentSkillsProvider(str(tmp_path)) - result = provider._load_skill("") - assert result.startswith("Error:") - - def test_read_skill_resource_returns_content(self, tmp_path: Path) -> None: + def test_load_skill_preserves_file_skill_content(self, tmp_path: Path) -> None: _write_skill( tmp_path, "my-skill", body="See [doc](refs/FAQ.md).", resources={"refs/FAQ.md": "FAQ content"}, ) - provider = FileAgentSkillsProvider(str(tmp_path)) - result = provider._read_skill_resource("my-skill", "refs/FAQ.md") + provider = SkillsProvider(str(tmp_path)) + result = provider._load_skill("my-skill") + assert "See [doc](refs/FAQ.md)." in result + + def test_load_skill_unknown_returns_error(self, tmp_path: Path) -> None: + provider = SkillsProvider(str(tmp_path)) + result = provider._load_skill("nonexistent") + assert result.startswith("Error:") + + def test_load_skill_empty_name_returns_error(self, tmp_path: Path) -> None: + provider = SkillsProvider(str(tmp_path)) + result = provider._load_skill("") + assert result.startswith("Error:") + + async def test_read_skill_resource_returns_content(self, tmp_path: Path) -> None: + _write_skill( + tmp_path, + "my-skill", + body="See [doc](refs/FAQ.md).", + resources={"refs/FAQ.md": "FAQ content"}, + ) + provider = SkillsProvider(str(tmp_path)) + result = await provider._read_skill_resource("my-skill", "refs/FAQ.md") assert result == "FAQ content" - def test_read_skill_resource_unknown_skill_returns_error(self, tmp_path: Path) -> None: - provider = FileAgentSkillsProvider(str(tmp_path)) - result = provider._read_skill_resource("nonexistent", "file.md") + async def test_read_skill_resource_unknown_skill_returns_error(self, tmp_path: Path) -> None: + provider = SkillsProvider(str(tmp_path)) + result = await provider._read_skill_resource("nonexistent", "file.md") assert result.startswith("Error:") - def test_read_skill_resource_empty_name_returns_error(self, tmp_path: Path) -> None: + async def test_read_skill_resource_empty_name_returns_error(self, tmp_path: Path) -> None: _write_skill(tmp_path, "my-skill") - provider = FileAgentSkillsProvider(str(tmp_path)) - result = provider._read_skill_resource("my-skill", "") + provider = SkillsProvider(str(tmp_path)) + result = await provider._read_skill_resource("my-skill", "") assert result.startswith("Error:") - def test_read_skill_resource_unknown_resource_returns_error(self, tmp_path: Path) -> None: + async def test_read_skill_resource_unknown_resource_returns_error(self, tmp_path: Path) -> None: _write_skill(tmp_path, "my-skill") - provider = FileAgentSkillsProvider(str(tmp_path)) - result = provider._read_skill_resource("my-skill", "nonexistent.md") + provider = SkillsProvider(str(tmp_path)) + result = await provider._read_skill_resource("my-skill", "nonexistent.md") assert result.startswith("Error:") async def test_skills_sorted_in_prompt(self, tmp_path: Path) -> None: skills_dir = tmp_path / "skills" _write_skill(skills_dir, "zebra", description="Z skill.") _write_skill(skills_dir, "alpha", description="A skill.") - provider = FileAgentSkillsProvider(str(skills_dir)) + provider = SkillsProvider(str(skills_dir)) context = SessionContext(input_messages=[]) await provider.before_run( @@ -582,7 +621,7 @@ class TestFileAgentSkillsProvider: async def test_xml_escaping_in_prompt(self, tmp_path: Path) -> None: _write_skill(tmp_path, "my-skill", description="Uses & stuff") - provider = FileAgentSkillsProvider(str(tmp_path)) + provider = SkillsProvider(str(tmp_path)) context = SessionContext(input_messages=[]) await provider.before_run( @@ -656,25 +695,30 @@ class TestSymlinkDetection: directory_path = str(skill_dir) + os.sep assert _has_symlink_in_path(full_path, directory_path) is False - def test_validate_resources_rejects_symlinked_resource(self, tmp_path: Path) -> None: - """_discover_and_load_skills should exclude a skill whose resource is a symlink.""" + def test_discover_skips_symlinked_resource(self, tmp_path: Path) -> None: + """_discover_file_skills should skip a symlinked resource but keep the skill.""" skill_dir = tmp_path / "my-skill" skill_dir.mkdir() outside_file = tmp_path / "secret.md" outside_file.write_text("secret content", encoding="utf-8") - # Create SKILL.md referencing a resource + # Create SKILL.md (skill_dir / "SKILL.md").write_text( - "---\nname: my-skill\ndescription: A test skill.\n---\nSee [doc](refs/leak.md).\n", + "---\nname: my-skill\ndescription: A test skill.\n---\nInstructions.\n", encoding="utf-8", ) refs_dir = skill_dir / "refs" refs_dir.mkdir() (refs_dir / "leak.md").symlink_to(outside_file) + # Also add a safe resource + (refs_dir / "safe.md").write_text("safe content", encoding="utf-8") - skills = _discover_and_load_skills([str(tmp_path)]) - assert "my-skill" not in skills + skills = _discover_file_skills([str(tmp_path)]) + assert "my-skill" in skills + resource_names = [r.name for r in skills["my-skill"].resources] + assert "refs/leak.md" not in resource_names + assert "refs/safe.md" in resource_names def test_read_skill_resource_rejects_symlinked_resource(self, tmp_path: Path) -> None: """_read_skill_resource should raise ValueError for a symlinked resource.""" @@ -688,11 +732,966 @@ class TestSymlinkDetection: refs_dir.mkdir() (refs_dir / "leak.md").symlink_to(outside_file) - skill = _FileAgentSkill( - frontmatter=_SkillFrontmatter("test", "Test skill"), - body="See [doc](refs/leak.md).", - source_path=str(skill_dir), - resource_names=["refs/leak.md"], + skill = Skill( + name="test", + description="Test skill", + content="See [doc](refs/leak.md).", + path=str(skill_dir), ) with pytest.raises(ValueError, match="symlink"): - _read_skill_resource(skill, "refs/leak.md") + _read_file_skill_resource(skill, "refs/leak.md") + + +# --------------------------------------------------------------------------- +# Tests: SkillResource +# --------------------------------------------------------------------------- + + +class TestSkillResource: + """Tests for SkillResource dataclass.""" + + def test_static_content(self) -> None: + resource = SkillResource(name="ref", content="static content") + assert resource.name == "ref" + assert resource.content == "static content" + assert resource.function is None + + def test_callable_function(self) -> None: + def my_func() -> str: + return "dynamic" + + resource = SkillResource(name="func", function=my_func) + assert resource.name == "func" + assert resource.content is None + assert resource.function is my_func + + def test_with_description(self) -> None: + resource = SkillResource(name="ref", description="A reference doc.", content="data") + assert resource.description == "A reference doc." + + def test_requires_content_or_function(self) -> None: + with pytest.raises(ValueError, match="must have either content or function"): + SkillResource(name="empty") + + def test_content_and_function_mutually_exclusive(self) -> None: + with pytest.raises(ValueError, match="must have either content or function, not both"): + SkillResource(name="both", content="static", function=lambda: "dynamic") + + +# --------------------------------------------------------------------------- +# Tests: Skill +# --------------------------------------------------------------------------- + + +class TestSkill: + """Tests for Skill dataclass and .resource decorator.""" + + def test_basic_construction(self) -> None: + skill = Skill(name="my-skill", description="A test skill.", content="Instructions.") + assert skill.name == "my-skill" + assert skill.description == "A test skill." + assert skill.content == "Instructions." + assert skill.resources == [] + + def test_construction_with_static_resources(self) -> None: + skill = Skill( + name="my-skill", + description="A test skill.", + content="Instructions.", + resources=[ + SkillResource(name="ref", content="Reference content"), + ], + ) + assert len(skill.resources) == 1 + assert skill.resources[0].name == "ref" + + def test_empty_name_raises(self) -> None: + with pytest.raises(ValueError, match="cannot be empty"): + Skill(name="", description="A skill.", content="Body") + + def test_invalid_name_skipped(self) -> None: + invalid_skill = Skill(name="Invalid-Name", description="A skill.", content="Body") + provider = SkillsProvider(skills=[invalid_skill]) + assert len(provider._skills) == 0 + + def test_name_starts_with_hyphen_skipped(self) -> None: + invalid_skill = Skill(name="-bad-name", description="A skill.", content="Body") + provider = SkillsProvider(skills=[invalid_skill]) + assert len(provider._skills) == 0 + + def test_name_too_long_skipped(self) -> None: + invalid_skill = Skill(name="a" * 65, description="A skill.", content="Body") + provider = SkillsProvider(skills=[invalid_skill]) + assert len(provider._skills) == 0 + + def test_empty_description_raises(self) -> None: + with pytest.raises(ValueError, match="cannot be empty"): + Skill(name="my-skill", description="", content="Body") + + def test_description_too_long_skipped(self) -> None: + invalid_skill = Skill(name="my-skill", description="a" * 1025, content="Body") + provider = SkillsProvider(skills=[invalid_skill]) + assert len(provider._skills) == 0 + + def test_resource_decorator_bare(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource + def get_schema() -> str: + """Get the database schema.""" + return "CREATE TABLE users (id INT)" + + assert len(skill.resources) == 1 + assert skill.resources[0].name == "get_schema" + assert skill.resources[0].description == "Get the database schema." + assert skill.resources[0].function is get_schema + + def test_resource_decorator_with_args(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource(name="custom-name", description="Custom description") + def my_resource() -> str: + return "data" + + assert len(skill.resources) == 1 + assert skill.resources[0].name == "custom-name" + assert skill.resources[0].description == "Custom description" + + def test_resource_decorator_returns_function(self) -> None: + """Decorator should return the original function unchanged.""" + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource + def get_data() -> str: + return "data" + + assert callable(get_data) + assert get_data() == "data" + + def test_multiple_resources(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource + def resource_a() -> str: + return "A" + + @skill.resource + def resource_b() -> str: + return "B" + + assert len(skill.resources) == 2 + names = [r.name for r in skill.resources] + assert "resource_a" in names + assert "resource_b" in names + + def test_resource_decorator_async(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource + async def get_async_data() -> str: + return "async data" + + assert len(skill.resources) == 1 + assert skill.resources[0].function is get_async_data + + +# --------------------------------------------------------------------------- +# Tests: SkillsProvider with code-defined skills +# --------------------------------------------------------------------------- + + +class TestSkillsProviderCodeSkill: + """Tests for SkillsProvider with code-defined skills.""" + + def test_code_skill_only(self) -> None: + skill = Skill(name="prog-skill", description="A code-defined skill.", content="Do the thing.") + provider = SkillsProvider(skills=[skill]) + assert "prog-skill" in provider._skills + + def test_load_skill_returns_content(self) -> None: + skill = Skill(name="prog-skill", description="A skill.", content="Code-defined instructions.") + provider = SkillsProvider(skills=[skill]) + result = provider._load_skill("prog-skill") + assert "prog-skill" in result + assert "A skill." in result + assert "\nCode-defined instructions.\n" in result + assert "" not in result + + def test_load_skill_appends_resource_listing(self) -> None: + skill = Skill( + name="prog-skill", + description="A skill.", + content="Do things.", + resources=[ + SkillResource(name="ref-a", content="a", description="First resource"), + SkillResource(name="ref-b", content="b"), + ], + ) + provider = SkillsProvider(skills=[skill]) + result = provider._load_skill("prog-skill") + assert "prog-skill" in result + assert "A skill." in result + assert "Do things." in result + assert "" in result + assert '' in result + assert '' in result + + def test_load_skill_no_resources_no_listing(self) -> None: + skill = Skill(name="prog-skill", description="A skill.", content="Body only.") + provider = SkillsProvider(skills=[skill]) + result = provider._load_skill("prog-skill") + assert "Body only." in result + assert "" not in result + + async def test_read_static_resource(self) -> None: + skill = Skill( + name="prog-skill", + description="A skill.", + content="Body", + resources=[SkillResource(name="ref", content="static content")], + ) + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource("prog-skill", "ref") + assert result == "static content" + + async def test_read_callable_resource_sync(self) -> None: + skill = Skill(name="prog-skill", description="A skill.", content="Body") + + @skill.resource + def get_schema() -> str: + return "CREATE TABLE users" + + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource("prog-skill", "get_schema") + assert result == "CREATE TABLE users" + + async def test_read_callable_resource_async(self) -> None: + skill = Skill(name="prog-skill", description="A skill.", content="Body") + + @skill.resource + async def get_data() -> str: + return "async data" + + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource("prog-skill", "get_data") + assert result == "async data" + + async def test_read_resource_case_insensitive(self) -> None: + skill = Skill( + name="prog-skill", + description="A skill.", + content="Body", + resources=[SkillResource(name="MyRef", content="content")], + ) + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource("prog-skill", "myref") + assert result == "content" + + async def test_read_unknown_resource_returns_error(self) -> None: + skill = Skill(name="prog-skill", description="A skill.", content="Body") + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource("prog-skill", "nonexistent") + assert result.startswith("Error:") + + async def test_before_run_injects_code_skills(self) -> None: + skill = Skill(name="prog-skill", description="A code-defined skill.", content="Body") + provider = SkillsProvider(skills=[skill]) + context = SessionContext(input_messages=[]) + + await provider.before_run(agent=AsyncMock(), session=AsyncMock(), context=context, state={}) + + assert len(context.instructions) == 1 + assert "prog-skill" in context.instructions[0] + assert len(context.tools) == 2 + + async def test_before_run_empty_provider(self) -> None: + provider = SkillsProvider() + context = SessionContext(input_messages=[]) + + await provider.before_run(agent=AsyncMock(), session=AsyncMock(), context=context, state={}) + + assert len(context.instructions) == 0 + assert len(context.tools) == 0 + + def test_combined_file_and_code_skill(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "file-skill") + prog_skill = Skill(name="prog-skill", description="Code-defined.", content="Body") + provider = SkillsProvider(skill_paths=str(tmp_path), skills=[prog_skill]) + assert "file-skill" in provider._skills + assert "prog-skill" in provider._skills + + def test_duplicate_name_file_wins(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "my-skill", body="File version") + prog_skill = Skill(name="my-skill", description="Code-defined.", content="Prog version") + provider = SkillsProvider(skill_paths=str(tmp_path), skills=[prog_skill]) + # File-based is loaded first, so it wins + assert "File version" in provider._skills["my-skill"].content + + async def test_combined_prompt_includes_both(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "file-skill") + prog_skill = Skill(name="prog-skill", description="A code-defined skill.", content="Body") + provider = SkillsProvider(skill_paths=str(tmp_path), skills=[prog_skill]) + context = SessionContext(input_messages=[]) + + await provider.before_run(agent=AsyncMock(), session=AsyncMock(), context=context, state={}) + + prompt = context.instructions[0] + assert "file-skill" in prompt + assert "prog-skill" in prompt + + def test_custom_resource_extensions(self, tmp_path: Path) -> None: + """SkillsProvider accepts custom resource_extensions.""" + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "SKILL.md").write_text( + "---\nname: my-skill\ndescription: A test skill.\n---\nBody.", + encoding="utf-8", + ) + (skill_dir / "data.json").write_text("{}", encoding="utf-8") + (skill_dir / "notes.txt").write_text("notes", encoding="utf-8") + + # Only discover .json files + provider = SkillsProvider(str(tmp_path), resource_extensions=(".json",)) + skill = provider._skills["my-skill"] + resource_names = [r.name for r in skill.resources] + assert "data.json" in resource_names + assert "notes.txt" not in resource_names + + +# --------------------------------------------------------------------------- +# Tests: File-based skill parsing and content +# --------------------------------------------------------------------------- + + +class TestFileBasedSkillParsing: + """Tests for file-based skills parsed from SKILL.md.""" + + def test_content_contains_full_raw_file(self, tmp_path: Path) -> None: + """content stores the entire SKILL.md file including frontmatter.""" + _write_skill(tmp_path, "my-skill", description="A test skill.", body="Instructions here.") + skill = _read_and_parse_skill_file_for_test(tmp_path / "my-skill") + assert "---" in skill.content + assert "name: my-skill" in skill.content + assert "description: A test skill." in skill.content + assert "Instructions here." in skill.content + + def test_name_and_description_from_frontmatter(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "my-skill", description="Skill desc.") + skill = _read_and_parse_skill_file_for_test(tmp_path / "my-skill") + assert skill.name == "my-skill" + assert skill.description == "Skill desc." + + def test_path_set(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "my-skill") + skill = _read_and_parse_skill_file_for_test(tmp_path / "my-skill") + assert skill.path == str(tmp_path / "my-skill") + + def test_resources_populated(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "my-skill", resources={"refs/doc.md": "content"}) + skills = _discover_file_skills([str(tmp_path)]) + assert "my-skill" in skills + resource_names = [r.name for r in skills["my-skill"].resources] + assert "refs/doc.md" in resource_names + + +# --------------------------------------------------------------------------- +# Tests: _load_skill formatting +# --------------------------------------------------------------------------- + + +class TestLoadSkillFormatting: + """Tests for _load_skill output formatting differences between file-based and code-defined skills.""" + + def test_file_skill_returns_raw_content(self, tmp_path: Path) -> None: + """File-based skills return raw SKILL.md content without XML wrapping.""" + _write_skill(tmp_path, "my-skill", body="Do the thing.") + provider = SkillsProvider(str(tmp_path)) + result = provider._load_skill("my-skill") + assert "Do the thing." in result + assert "" not in result + assert "" not in result + + def test_code_skill_wraps_in_xml(self) -> None: + """Code-defined skills are wrapped with name, description, and instructions tags.""" + skill = Skill(name="prog-skill", description="A skill.", content="Do stuff.") + provider = SkillsProvider(skills=[skill]) + result = provider._load_skill("prog-skill") + assert "prog-skill" in result + assert "A skill." in result + assert "\nDo stuff.\n" in result + + def test_code_skill_single_resource_no_description(self) -> None: + """Resource without description omits the description attribute.""" + skill = Skill( + name="prog-skill", + description="A skill.", + content="Body.", + resources=[SkillResource(name="data", content="val")], + ) + provider = SkillsProvider(skills=[skill]) + result = provider._load_skill("prog-skill") + assert '' in result + assert "description=" not in result + + +# --------------------------------------------------------------------------- +# Tests: _discover_resource_files edge cases +# --------------------------------------------------------------------------- + + +class TestDiscoverResourceFilesEdgeCases: + """Additional edge-case tests for filesystem resource discovery.""" + + def test_excludes_skill_md_case_insensitive(self, tmp_path: Path) -> None: + """SKILL.md in any casing is excluded.""" + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "skill.md").write_text("lowercase name", encoding="utf-8") + (skill_dir / "other.md").write_text("keep me", encoding="utf-8") + resources = _discover_resource_files(str(skill_dir)) + names = [r.lower() for r in resources] + assert "skill.md" not in names + assert "other.md" in resources + + def test_skips_directories(self, tmp_path: Path) -> None: + """Directories are not included as resources even if their name matches an extension.""" + skill_dir = tmp_path / "my-skill" + subdir = skill_dir / "data.json" + subdir.mkdir(parents=True) + resources = _discover_resource_files(str(skill_dir)) + assert resources == [] + + def test_extension_matching_is_case_insensitive(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "NOTES.TXT").write_text("caps", encoding="utf-8") + resources = _discover_resource_files(str(skill_dir)) + assert len(resources) == 1 + + +# --------------------------------------------------------------------------- +# Tests: _is_path_within_directory +# --------------------------------------------------------------------------- + + +class TestIsPathWithinDirectory: + """Tests for _is_path_within_directory.""" + + def test_path_inside_directory(self, tmp_path: Path) -> None: + child = str(tmp_path / "sub" / "file.txt") + assert _is_path_within_directory(child, str(tmp_path)) is True + + def test_path_outside_directory(self, tmp_path: Path) -> None: + outside = str(tmp_path.parent / "other" / "file.txt") + assert _is_path_within_directory(outside, str(tmp_path)) is False + + def test_path_is_directory_itself(self, tmp_path: Path) -> None: + assert _is_path_within_directory(str(tmp_path), str(tmp_path)) is True + + def test_similar_prefix_not_matched(self, tmp_path: Path) -> None: + """'skill-a-evil' is not inside 'skill-a'.""" + dir_a = str(tmp_path / "skill-a") + evil = str(tmp_path / "skill-a-evil" / "file.txt") + assert _is_path_within_directory(evil, dir_a) is False + + +# --------------------------------------------------------------------------- +# Tests: _has_symlink_in_path edge cases +# --------------------------------------------------------------------------- + + +class TestHasSymlinkInPathEdgeCases: + """Edge-case tests for _has_symlink_in_path.""" + + def test_raises_when_path_not_relative(self, tmp_path: Path) -> None: + unrelated = str(tmp_path.parent / "other" / "file.txt") + with pytest.raises(ValueError, match="does not start with directory"): + _has_symlink_in_path(unrelated, str(tmp_path)) + + def test_returns_false_for_empty_relative(self, tmp_path: Path) -> None: + """When path equals directory, relative is empty so no symlinks.""" + assert _has_symlink_in_path(str(tmp_path), str(tmp_path)) is False + + +# --------------------------------------------------------------------------- +# Tests: _validate_skill_metadata +# --------------------------------------------------------------------------- + + +class TestValidateSkillMetadata: + """Tests for _validate_skill_metadata.""" + + def test_valid_metadata(self) -> None: + assert _validate_skill_metadata("my-skill", "A description.", "source") is None + + def test_none_name(self) -> None: + result = _validate_skill_metadata(None, "desc", "source") + assert result is not None + assert "missing a name" in result + + def test_empty_name(self) -> None: + result = _validate_skill_metadata("", "desc", "source") + assert result is not None + assert "missing a name" in result + + def test_whitespace_only_name(self) -> None: + result = _validate_skill_metadata(" ", "desc", "source") + assert result is not None + assert "missing a name" in result + + def test_name_at_max_length(self) -> None: + name = "a" * 64 + assert _validate_skill_metadata(name, "desc", "source") is None + + def test_name_exceeds_max_length(self) -> None: + name = "a" * 65 + result = _validate_skill_metadata(name, "desc", "source") + assert result is not None + assert "invalid name" in result + + def test_name_with_uppercase(self) -> None: + result = _validate_skill_metadata("BadName", "desc", "source") + assert result is not None + assert "invalid name" in result + + def test_name_starts_with_hyphen(self) -> None: + result = _validate_skill_metadata("-bad", "desc", "source") + assert result is not None + assert "invalid name" in result + + def test_name_ends_with_hyphen(self) -> None: + result = _validate_skill_metadata("bad-", "desc", "source") + assert result is not None + assert "invalid name" in result + + def test_single_char_name(self) -> None: + assert _validate_skill_metadata("a", "desc", "source") is None + + def test_none_description(self) -> None: + result = _validate_skill_metadata("my-skill", None, "source") + assert result is not None + assert "missing a description" in result + + def test_empty_description(self) -> None: + result = _validate_skill_metadata("my-skill", "", "source") + assert result is not None + assert "missing a description" in result + + def test_whitespace_only_description(self) -> None: + result = _validate_skill_metadata("my-skill", " ", "source") + assert result is not None + assert "missing a description" in result + + def test_description_at_max_length(self) -> None: + desc = "a" * 1024 + assert _validate_skill_metadata("my-skill", desc, "source") is None + + def test_description_exceeds_max_length(self) -> None: + desc = "a" * 1025 + result = _validate_skill_metadata("my-skill", desc, "source") + assert result is not None + assert "invalid description" in result + + +# --------------------------------------------------------------------------- +# Tests: _discover_skill_directories +# --------------------------------------------------------------------------- + + +class TestDiscoverSkillDirectories: + """Tests for _discover_skill_directories.""" + + def test_finds_skill_at_root(self, tmp_path: Path) -> None: + (tmp_path / "SKILL.md").write_text("---\nname: s\ndescription: d\n---\n", encoding="utf-8") + dirs = _discover_skill_directories([str(tmp_path)]) + assert len(dirs) == 1 + + def test_finds_nested_skill(self, tmp_path: Path) -> None: + sub = tmp_path / "sub" + sub.mkdir() + (sub / "SKILL.md").write_text("---\nname: s\ndescription: d\n---\n", encoding="utf-8") + dirs = _discover_skill_directories([str(tmp_path)]) + assert len(dirs) == 1 + assert str(sub.absolute()) in dirs[0] + + def test_skips_empty_path_string(self) -> None: + dirs = _discover_skill_directories(["", " "]) + assert dirs == [] + + def test_skips_nonexistent_path(self) -> None: + dirs = _discover_skill_directories(["/nonexistent/does/not/exist"]) + assert dirs == [] + + def test_depth_limit_excludes_deep_skill(self, tmp_path: Path) -> None: + deep = tmp_path / "l1" / "l2" / "l3" + deep.mkdir(parents=True) + (deep / "SKILL.md").write_text("---\nname: s\ndescription: d\n---\n", encoding="utf-8") + dirs = _discover_skill_directories([str(tmp_path)]) + assert len(dirs) == 0 + + def test_depth_limit_includes_at_boundary(self, tmp_path: Path) -> None: + at_boundary = tmp_path / "l1" / "l2" + at_boundary.mkdir(parents=True) + (at_boundary / "SKILL.md").write_text("---\nname: s\ndescription: d\n---\n", encoding="utf-8") + dirs = _discover_skill_directories([str(tmp_path)]) + assert len(dirs) == 1 + + +# --------------------------------------------------------------------------- +# Tests: _read_and_parse_skill_file edge cases +# --------------------------------------------------------------------------- + + +class TestReadAndParseSkillFile: + """Tests for _read_and_parse_skill_file.""" + + def test_valid_file(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "my-skill" + skill_dir.mkdir() + (skill_dir / "SKILL.md").write_text( + "---\nname: my-skill\ndescription: A skill.\n---\nBody.", encoding="utf-8" + ) + result = _read_and_parse_skill_file(str(skill_dir)) + assert result is not None + name, desc, content = result + assert name == "my-skill" + assert desc == "A skill." + assert "Body." in content + + def test_missing_skill_md_returns_none(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "no-skill" + skill_dir.mkdir() + result = _read_and_parse_skill_file(str(skill_dir)) + assert result is None + + def test_invalid_frontmatter_returns_none(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "bad-skill" + skill_dir.mkdir() + (skill_dir / "SKILL.md").write_text("No frontmatter at all.", encoding="utf-8") + result = _read_and_parse_skill_file(str(skill_dir)) + assert result is None + + +# --------------------------------------------------------------------------- +# Tests: _create_resource_element +# --------------------------------------------------------------------------- + + +class TestCreateResourceElement: + """Tests for _create_resource_element.""" + + def test_name_only(self) -> None: + r = SkillResource(name="my-ref", content="data") + elem = _create_resource_element(r) + assert elem == ' ' + + def test_with_description(self) -> None: + r = SkillResource(name="my-ref", description="A reference.", content="data") + elem = _create_resource_element(r) + assert elem == ' ' + + def test_xml_escapes_name(self) -> None: + r = SkillResource(name='ref"special', content="data") + elem = _create_resource_element(r) + assert '"' in elem + + def test_xml_escapes_description(self) -> None: + r = SkillResource(name="ref", description='Uses & "quotes"', content="data") + elem = _create_resource_element(r) + assert "<tags>" in elem + assert "&" in elem + assert """ in elem + + +# --------------------------------------------------------------------------- +# Tests: _read_file_skill_resource edge cases +# --------------------------------------------------------------------------- + + +class TestReadFileSkillResourceEdgeCases: + """Edge-case tests for _read_file_skill_resource.""" + + def test_skill_with_no_path_raises(self) -> None: + skill = Skill(name="no-path", description="No path.", content="Body") + with pytest.raises(ValueError, match="has no path set"): + _read_file_skill_resource(skill, "some-file.md") + + def test_nonexistent_file_raises(self, tmp_path: Path) -> None: + skill_dir = tmp_path / "skill" + skill_dir.mkdir() + skill = Skill(name="test", description="Test.", content="Body", path=str(skill_dir)) + with pytest.raises(ValueError, match="not found in skill"): + _read_file_skill_resource(skill, "missing.md") + + +# --------------------------------------------------------------------------- +# Tests: _normalize_resource_path edge cases +# --------------------------------------------------------------------------- + + +class TestNormalizeResourcePathEdgeCases: + """Additional edge-case tests for _normalize_resource_path.""" + + def test_bare_filename(self) -> None: + assert _normalize_resource_path("file.md") == "file.md" + + def test_deeply_nested_path(self) -> None: + assert _normalize_resource_path("a/b/c/d.md") == "a/b/c/d.md" + + def test_mixed_separators(self) -> None: + assert _normalize_resource_path("a\\b/c\\d.md") == "a/b/c/d.md" + + def test_dot_prefix_only(self) -> None: + assert _normalize_resource_path("./file.md") == "file.md" + + +# --------------------------------------------------------------------------- +# Tests: _discover_file_skills edge cases +# --------------------------------------------------------------------------- + + +class TestDiscoverFileSkillsEdgeCases: + """Edge-case tests for _discover_file_skills.""" + + def test_none_path_returns_empty(self) -> None: + assert _discover_file_skills(None) == {} + + def test_accepts_path_object(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "my-skill") + skills = _discover_file_skills(tmp_path) + assert "my-skill" in skills + + def test_accepts_single_string_path(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "my-skill") + skills = _discover_file_skills(str(tmp_path)) + assert "my-skill" in skills + + +# --------------------------------------------------------------------------- +# Tests: _extract_frontmatter edge cases +# --------------------------------------------------------------------------- + + +class TestExtractFrontmatterEdgeCases: + """Additional edge-case tests for _extract_frontmatter.""" + + def test_whitespace_only_name(self) -> None: + content = "---\nname: ' '\ndescription: A skill.\n---\nBody." + result = _extract_frontmatter(content, "test.md") + assert result is None + + def test_whitespace_only_description(self) -> None: + content = "---\nname: test-skill\ndescription: ' '\n---\nBody." + result = _extract_frontmatter(content, "test.md") + assert result is None + + def test_name_exactly_max_length(self) -> None: + name = "a" * 64 + content = f"---\nname: {name}\ndescription: A skill.\n---\nBody." + result = _extract_frontmatter(content, "test.md") + assert result is not None + assert result[0] == name + + def test_description_exactly_max_length(self) -> None: + desc = "a" * 1024 + content = f"---\nname: test-skill\ndescription: {desc}\n---\nBody." + result = _extract_frontmatter(content, "test.md") + assert result is not None + assert result[1] == desc + + +# --------------------------------------------------------------------------- +# Tests: _create_instructions edge cases +# --------------------------------------------------------------------------- + + +class TestCreateInstructionsEdgeCases: + """Additional edge-case tests for _create_instructions.""" + + def test_custom_template_with_empty_skills_returns_none(self) -> None: + result = _create_instructions("Custom: {skills}", {}) + assert result is None + + def test_custom_template_with_literal_braces(self) -> None: + skills = { + "my-skill": Skill(name="my-skill", description="Skill.", content="Body"), + } + template = "Header {{literal}} {skills} footer." + result = _create_instructions(template, skills) + assert result is not None + assert "{literal}" in result + assert "my-skill" in result + + def test_multiple_skills_generates_sorted_xml(self) -> None: + skills = { + "charlie": Skill(name="charlie", description="C.", content="Body"), + "alpha": Skill(name="alpha", description="A.", content="Body"), + "bravo": Skill(name="bravo", description="B.", content="Body"), + } + result = _create_instructions(None, skills) + assert result is not None + alpha_pos = result.index("alpha") + bravo_pos = result.index("bravo") + charlie_pos = result.index("charlie") + assert alpha_pos < bravo_pos < charlie_pos + + +# --------------------------------------------------------------------------- +# Tests: SkillsProvider edge cases +# --------------------------------------------------------------------------- + + +class TestSkillsProviderEdgeCases: + """Additional edge-case tests for SkillsProvider.""" + + def test_accepts_path_object(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "my-skill") + provider = SkillsProvider(tmp_path) + assert "my-skill" in provider._skills + + def test_load_skill_whitespace_name_returns_error(self, tmp_path: Path) -> None: + _write_skill(tmp_path, "my-skill") + provider = SkillsProvider(str(tmp_path)) + result = provider._load_skill(" ") + assert result.startswith("Error:") + assert "empty" in result + + async def test_read_skill_resource_whitespace_skill_name_returns_error(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource(" ", "ref") + assert result.startswith("Error:") + assert "empty" in result + + async def test_read_skill_resource_whitespace_resource_name_returns_error(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource("my-skill", " ") + assert result.startswith("Error:") + assert "empty" in result + + async def test_read_callable_resource_exception_returns_error(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource + def exploding_resource() -> str: + raise RuntimeError("boom") + + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource("my-skill", "exploding_resource") + assert result.startswith("Error (RuntimeError):") + assert "Failed to read resource" in result + + async def test_read_async_callable_resource_exception_returns_error(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource + async def async_exploding() -> str: + raise ValueError("async boom") + + provider = SkillsProvider(skills=[skill]) + result = await provider._read_skill_resource("my-skill", "async_exploding") + assert result.startswith("Error (ValueError):") + + def test_load_code_skill_xml_escapes_metadata(self) -> None: + skill = Skill(name="my-skill", description='Uses & "quotes"', content="Body") + provider = SkillsProvider(skills=[skill]) + result = provider._load_skill("my-skill") + assert "<tags>" in result + assert "&" in result + + def test_code_skill_deduplication(self) -> None: + skill1 = Skill(name="my-skill", description="First.", content="Body 1") + skill2 = Skill(name="my-skill", description="Second.", content="Body 2") + provider = SkillsProvider(skills=[skill1, skill2]) + assert len(provider._skills) == 1 + assert "First." in provider._skills["my-skill"].description + + async def test_before_run_extends_tools_even_without_instructions(self) -> None: + """If instructions are somehow None but skills exist, tools should still be added.""" + skill = Skill(name="my-skill", description="A skill.", content="Body") + provider = SkillsProvider(skills=[skill]) + context = SessionContext(input_messages=[]) + + await provider.before_run(agent=AsyncMock(), session=AsyncMock(), context=context, state={}) + + assert len(context.tools) == 2 + tool_names = {t.name for t in context.tools} + assert "load_skill" in tool_names + assert "read_skill_resource" in tool_names + + +# --------------------------------------------------------------------------- +# Tests: SkillResource edge cases +# --------------------------------------------------------------------------- + + +class TestSkillResourceEdgeCases: + """Additional edge-case tests for SkillResource.""" + + def test_empty_name_raises(self) -> None: + with pytest.raises(ValueError, match="cannot be empty"): + SkillResource(name="", content="data") + + def test_whitespace_only_name_raises(self) -> None: + with pytest.raises(ValueError, match="cannot be empty"): + SkillResource(name=" ", content="data") + + def test_description_defaults_to_none(self) -> None: + r = SkillResource(name="ref", content="data") + assert r.description is None + + +# --------------------------------------------------------------------------- +# Tests: Skill.resource decorator edge cases +# --------------------------------------------------------------------------- + + +class TestSkillResourceDecoratorEdgeCases: + """Additional edge-case tests for the @skill.resource decorator.""" + + def test_decorator_no_docstring_description_is_none(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource + def no_docs() -> str: + return "data" + + assert skill.resources[0].description is None + + def test_decorator_with_name_only(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource(name="custom-name") + def get_data() -> str: + """Some docs.""" + return "data" + + assert skill.resources[0].name == "custom-name" + # description falls back to docstring + assert skill.resources[0].description == "Some docs." + + def test_decorator_with_description_only(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource(description="Custom desc") + def get_data() -> str: + return "data" + + assert skill.resources[0].name == "get_data" + assert skill.resources[0].description == "Custom desc" + + def test_decorator_preserves_original_function_identity(self) -> None: + skill = Skill(name="my-skill", description="A skill.", content="Body") + + @skill.resource + def original() -> str: + return "original" + + @skill.resource(name="aliased") + def aliased() -> str: + return "aliased" + + # Both decorated functions should still be callable + assert original() == "original" + assert aliased() == "aliased" diff --git a/python/samples/02-agents/skills/basic_skill/README.md b/python/samples/02-agents/skills/basic_skill/README.md index 5c810aab06..1e8e4870e9 100644 --- a/python/samples/02-agents/skills/basic_skill/README.md +++ b/python/samples/02-agents/skills/basic_skill/README.md @@ -1,6 +1,6 @@ # Agent Skills Sample -This sample demonstrates how to use **Agent Skills** with a `FileAgentSkillsProvider` in the Microsoft Agent Framework. +This sample demonstrates how to use **Agent Skills** with a `SkillsProvider` in the Microsoft Agent Framework. ## What are Agent Skills? @@ -20,8 +20,8 @@ Policy-based expense filing with spending limits, receipt requirements, and appr ## Project Structure ``` -basic_skills/ -├── basic_file_skills.py +basic_skill/ +├── basic_skill.py ├── README.md └── skills/ └── expense-report/ @@ -52,7 +52,7 @@ This sample uses `AzureCliCredential` for authentication. Run `az login` in your ```bash cd python -uv run samples/02-agents/skills/basic_skills/basic_file_skills.py +uv run samples/02-agents/skills/basic_skill/basic_skill.py ``` ### Examples diff --git a/python/samples/02-agents/skills/basic_skill/basic_skill.py b/python/samples/02-agents/skills/basic_skill/basic_skill.py index 81cc6c1582..c2f18f73f8 100644 --- a/python/samples/02-agents/skills/basic_skill/basic_skill.py +++ b/python/samples/02-agents/skills/basic_skill/basic_skill.py @@ -4,18 +4,15 @@ import asyncio import os from pathlib import Path -from agent_framework import Agent, FileAgentSkillsProvider +from agent_framework import Agent, SkillsProvider from agent_framework.azure import AzureOpenAIResponsesClient from azure.identity import AzureCliCredential from dotenv import load_dotenv -# Load environment variables from .env file -load_dotenv() - """ Agent Skills Sample -This sample demonstrates how to use file-based Agent Skills with a FileAgentSkillsProvider. +This sample demonstrates how to use file-based Agent Skills with a SkillsProvider. Agent Skills are modular packages of instructions and resources that extend an agent's capabilities. They follow the progressive disclosure pattern: @@ -27,6 +24,9 @@ This sample includes the expense-report skill: - Policy-based expense filing with references and assets """ +# Load environment variables from .env file +load_dotenv() + async def main() -> None: """Run the Agent Skills demo.""" @@ -44,7 +44,7 @@ async def main() -> None: # --- 2. Create the skills provider --- # Discovers skills from the 'skills' directory and makes them available to the agent skills_dir = Path(__file__).parent / "skills" - skills_provider = FileAgentSkillsProvider(skill_paths=str(skills_dir)) + skills_provider = SkillsProvider(skill_paths=str(skills_dir)) # --- 3. Create the agent with skills --- async with Agent( diff --git a/python/samples/02-agents/skills/code_skill/README.md b/python/samples/02-agents/skills/code_skill/README.md new file mode 100644 index 0000000000..828e7c8e22 --- /dev/null +++ b/python/samples/02-agents/skills/code_skill/README.md @@ -0,0 +1,56 @@ +# Code-Defined Agent Skills Sample + +This sample demonstrates how to create **Agent Skills** in Python code, without needing `SKILL.md` files on disk. + +## What are Code-Defined Skills? + +While file-based skills use `SKILL.md` files discovered on disk, code-defined skills let you define skills entirely in Python using `Skill` and `SkillResource` classes. Two patterns are shown: + +1. **Basic Code Skill** — Create a `Skill` directly with static resources (inline content) +2. **Dynamic Resources** — Attach callable resources via the `@skill.resource` decorator that generate content at invocation time + +Both patterns can be combined with file-based skills in a single `SkillsProvider`. + +## Project Structure + +``` +code_skill/ +├── code_skill.py +└── README.md +``` + +## Running the Sample + +### Prerequisites +- An [Azure AI Foundry](https://ai.azure.com/) project with a deployed model (e.g. `gpt-4o-mini`) + +### Environment Variables + +Set the required environment variables in a `.env` file (see `python/.env.example`): + +- `AZURE_AI_PROJECT_ENDPOINT`: Your Azure AI Foundry project endpoint +- `AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME`: The name of your model deployment (defaults to `gpt-4o-mini`) + +### Authentication + +This sample uses `AzureCliCredential` for authentication. Run `az login` in your terminal before running the sample. + +### Run + +```bash +cd python +uv run samples/02-agents/skills/code_skill/code_skill.py +``` + +### Examples + +The sample runs two examples: + +1. **Code style question** — Uses Pattern 1 (static resources): the agent loads the `code-style` skill and reads the `style-guide` resource to answer naming convention questions +2. **Project info question** — Uses Pattern 2 (dynamic resources): the agent reads dynamically generated `environment` and `team-roster` resources + +## Learn More + +- [Agent Skills Specification](https://agentskills.io/) +- [File-based Skills Sample](../basic_skill/) +- [Microsoft Agent Framework Documentation](../../../../../docs/) diff --git a/python/samples/02-agents/skills/code_skill/code_skill.py b/python/samples/02-agents/skills/code_skill/code_skill.py new file mode 100644 index 0000000000..3c95688c49 --- /dev/null +++ b/python/samples/02-agents/skills/code_skill/code_skill.py @@ -0,0 +1,151 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +import os +import sys +from textwrap import dedent + +from agent_framework import Agent, Skill, SkillResource, SkillsProvider +from agent_framework.azure import AzureOpenAIResponsesClient +from azure.identity import AzureCliCredential +from dotenv import load_dotenv + +""" +Code-Defined Agent Skills — Define skills in Python code + +This sample demonstrates how to create Agent Skills in code, +without needing SKILL.md files on disk. Two patterns are shown: + +Pattern 1: Basic Code Skill + Create a Skill instance directly with static resources (inline content). + +Pattern 2: Dynamic Resources + Create a Skill and attach callable resources via the @skill.resource + decorator. Resources can be sync or async functions that generate content at + invocation time. + +Both patterns can be combined with file-based skills in a single SkillsProvider. +""" + +# Load environment variables from .env file +load_dotenv() + +# Pattern 1: Basic Code Skill — direct construction with static resources +code_style_skill = Skill( + name="code-style", + description="Coding style guidelines and conventions for the team", + content=dedent("""\ + Use this skill when answering questions about coding style, conventions, + or best practices for the team. + """), + resources=[ + SkillResource( + name="style-guide", + content=dedent("""\ + # Team Coding Style Guide + + ## General Rules + - Use 4-space indentation (no tabs) + - Maximum line length: 120 characters + - Use type annotations on all public functions + - Use Google-style docstrings + + ## Naming Conventions + - Classes: PascalCase (e.g., UserAccount) + - Functions/methods: snake_case (e.g., get_user_name) + - Constants: UPPER_SNAKE_CASE (e.g., MAX_RETRIES) + - Private members: prefix with underscore (e.g., _internal_state) + """), + ), + ], +) + +# Pattern 2: Dynamic Resources — @skill.resource decorator +project_info_skill = Skill( + name="project-info", + description="Project status and configuration information", + content=dedent("""\ + Use this skill for questions about the current project status, + environment configuration, or team structure. + """), +) + + +@project_info_skill.resource +def environment() -> str: + """Get current environment configuration.""" + env = os.environ.get("APP_ENV", "development") + region = os.environ.get("APP_REGION", "us-east-1") + return f"""\ + # Environment Configuration + - Environment: {env} + - Region: {region} + - Python: {sys.version} + """ + + +@project_info_skill.resource(name="team-roster", description="Current team members and roles") +def get_team_roster() -> str: + """Return the team roster.""" + return """\ + # Team Roster + | Name | Role | + |--------------|-------------------| + | Alice Chen | Tech Lead | + | Bob Smith | Backend Engineer | + | Carol Davis | Frontend Engineer | + """ + + +async def main() -> None: + """Run the code-defined skills demo.""" + endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"] + deployment = os.environ.get("AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME", "gpt-4o-mini") + + client = AzureOpenAIResponsesClient( + project_endpoint=endpoint, + deployment_name=deployment, + credential=AzureCliCredential(), + ) + + # Create the skills provider with both code-defined skills + skills_provider = SkillsProvider( + skills=[code_style_skill, project_info_skill], + ) + + async with Agent( + client=client, + instructions="You are a helpful assistant for our development team.", + context_providers=[skills_provider], + ) as agent: + # Example 1: Code style question (Pattern 1 — static resources) + print("Example 1: Code style question") + print("-------------------------------") + response = await agent.run("What naming convention should I use for class attributes?") + print(f"Agent: {response}\n") + + # Example 2: Project info question (Pattern 2 — dynamic resources) + print("Example 2: Project info question") + print("---------------------------------") + response = await agent.run("What environment are we running in and who is on the team?") + print(f"Agent: {response}\n") + + """ + Expected output: + + Example 1: Code style question + ------------------------------- + Agent: Based on our team's coding style guide, class attributes should follow + snake_case naming. Private attributes use an underscore prefix (_internal_state). + Constants use UPPER_SNAKE_CASE (MAX_RETRIES). + + Example 2: Project info question + --------------------------------- + Agent: We're running in the development environment in us-east-1. + The team consists of Alice Chen (Tech Lead), Bob Smith (Backend Engineer), + and Carol Davis (Frontend Engineer). + """ + + +if __name__ == "__main__": + asyncio.run(main()) From afdd1e539db6eb4e0d2769e2fb64728ae5095a2f Mon Sep 17 00:00:00 2001 From: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> Date: Wed, 4 Mar 2026 18:37:11 +0000 Subject: [PATCH 55/59] .NET: Discover skill resources from directory instead of markdown links (#4401) * discover resources in skills folder * address pr review comments * change type of AllowedResourceExtensions * address pr review comment --- .../Skills/FileAgentSkillLoader.cs | 181 +++++++---- .../Skills/FileAgentSkillsProvider.cs | 2 +- .../Skills/FileAgentSkillsProviderOptions.cs | 12 + .../AgentSkills/FileAgentSkillLoaderTests.cs | 292 ++++++++++++------ 4 files changed, 330 insertions(+), 157 deletions(-) diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillLoader.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillLoader.cs index 8c034b3122..71a7124281 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillLoader.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillLoader.cs @@ -17,8 +17,9 @@ namespace Microsoft.Agents.AI; /// /// /// Searches directories recursively (up to levels) for SKILL.md files. -/// Each file is validated for YAML frontmatter and resource integrity. Invalid skills are excluded -/// with logged warnings. Resource paths are checked against path traversal and symlink escape attacks. +/// Each file is validated for YAML frontmatter. Resource files are discovered by scanning the skill +/// directory for files with matching extensions. Invalid resources are skipped with logged warnings. +/// Resource paths are checked against path traversal and symlink escape attacks. /// internal sealed partial class FileAgentSkillLoader { @@ -33,14 +34,6 @@ internal sealed partial class FileAgentSkillLoader // Example: "---\nname: foo\n---\nBody" → Group 1: "name: foo\n" private static readonly Regex s_frontmatterRegex = new(@"\A\uFEFF?^---\s*$(.+?)^---\s*$", RegexOptions.Multiline | RegexOptions.Singleline | RegexOptions.Compiled, TimeSpan.FromSeconds(5)); - // Matches markdown links to local resource files. Group 1 = relative file path. - // Supports optional ./ or ../ prefixes; excludes URLs (no ":" in the path character class). - // Intentionally conservative: only matches paths with word characters, hyphens, dots, - // and forward slashes. Paths with spaces or special characters are not supported. - // Examples: [doc](refs/FAQ.md) → "refs/FAQ.md", [s](./s.json) → "./s.json", - // [p](../shared/doc.txt) → "../shared/doc.txt" - private static readonly Regex s_resourceLinkRegex = new(@"\[.*?\]\((\.?\.?/?[\w][\w\-./]*\.\w+)\)", RegexOptions.Compiled, TimeSpan.FromSeconds(5)); - // Matches YAML "key: value" lines. Group 1 = key, Group 2 = quoted value, Group 3 = unquoted value. // Accepts single or double quotes; the lazy quantifier trims trailing whitespace on unquoted values. // Examples: "name: foo" → (name, _, foo), "name: 'foo bar'" → (name, foo bar, _), @@ -52,14 +45,22 @@ internal sealed partial class FileAgentSkillLoader private static readonly Regex s_validNameRegex = new(@"^[a-z0-9]([a-z0-9\-]*[a-z0-9])?$", RegexOptions.Compiled); private readonly ILogger _logger; + private readonly HashSet _allowedResourceExtensions; /// /// Initializes a new instance of the class. /// /// The logger instance. - internal FileAgentSkillLoader(ILogger logger) + /// File extensions to recognize as skill resources. When , defaults are used. + internal FileAgentSkillLoader(ILogger logger, IEnumerable? allowedResourceExtensions = null) { this._logger = logger; + + ValidateExtensions(allowedResourceExtensions); + + this._allowedResourceExtensions = new HashSet( + allowedResourceExtensions ?? [".md", ".json", ".yaml", ".yml", ".csv", ".xml", ".txt"], + StringComparer.OrdinalIgnoreCase); } /// @@ -183,9 +184,9 @@ internal sealed partial class FileAgentSkillLoader } } - private FileAgentSkill? ParseSkillFile(string skillDirectoryPath) + private FileAgentSkill? ParseSkillFile(string skillDirectoryFullPath) { - string skillFilePath = Path.Combine(skillDirectoryPath, SkillFileName); + string skillFilePath = Path.Combine(skillDirectoryFullPath, SkillFileName); string content = File.ReadAllText(skillFilePath, Encoding.UTF8); @@ -194,17 +195,12 @@ internal sealed partial class FileAgentSkillLoader return null; } - List resourceNames = ExtractResourcePaths(body); - - if (!this.ValidateResources(skillDirectoryPath, resourceNames, frontmatter.Name)) - { - return null; - } + List resourceNames = this.DiscoverResourceFiles(skillDirectoryFullPath, frontmatter.Name); return new FileAgentSkill( frontmatter: frontmatter, body: body, - sourcePath: skillDirectoryPath, + sourcePath: skillDirectoryFullPath, resourceNames: resourceNames); } @@ -270,34 +266,84 @@ internal sealed partial class FileAgentSkillLoader return true; } - private bool ValidateResources(string skillDirectoryPath, List resourceNames, string skillName) + /// + /// Scans a skill directory for resource files matching the configured extensions. + /// + /// + /// Recursively walks and collects files whose extension + /// matches , excluding SKILL.md itself. Each candidate + /// is validated against path-traversal and symlink-escape checks; unsafe files are skipped with + /// a warning. + /// + private List DiscoverResourceFiles(string skillDirectoryFullPath, string skillName) { - string normalizedSkillPath = Path.GetFullPath(skillDirectoryPath) + Path.DirectorySeparatorChar; + string normalizedSkillDirectoryFullPath = skillDirectoryFullPath + Path.DirectorySeparatorChar; - foreach (string resourceName in resourceNames) + var resources = new List(); + +#if NET + var enumerationOptions = new EnumerationOptions { - string fullPath = Path.GetFullPath(Path.Combine(skillDirectoryPath, resourceName)); + RecurseSubdirectories = true, + IgnoreInaccessible = true, + AttributesToSkip = FileAttributes.ReparsePoint, + }; - if (!IsPathWithinDirectory(fullPath, normalizedSkillPath)) + foreach (string filePath in Directory.EnumerateFiles(skillDirectoryFullPath, "*", enumerationOptions)) +#else + foreach (string filePath in Directory.EnumerateFiles(skillDirectoryFullPath, "*", SearchOption.AllDirectories)) +#endif + { + string fileName = Path.GetFileName(filePath); + + // Exclude SKILL.md itself + if (string.Equals(fileName, SkillFileName, StringComparison.OrdinalIgnoreCase)) { - LogResourcePathTraversal(this._logger, skillName, resourceName); - return false; + continue; } - if (!File.Exists(fullPath)) + // Filter by extension + string extension = Path.GetExtension(filePath); + if (string.IsNullOrEmpty(extension) || !this._allowedResourceExtensions.Contains(extension)) { - LogMissingResource(this._logger, skillName, resourceName); - return false; + if (this._logger.IsEnabled(LogLevel.Debug)) + { + LogResourceSkippedExtension(this._logger, skillName, SanitizePathForLog(filePath), extension); + } + continue; } - if (HasSymlinkInPath(fullPath, normalizedSkillPath)) + // Normalize the enumerated path to guard against non-canonical forms + // (redundant separators, 8.3 short names, etc.) that would produce + // malformed relative resource names. + string resolvedFilePath = Path.GetFullPath(filePath); + + // Path containment check + if (!IsPathWithinDirectory(resolvedFilePath, normalizedSkillDirectoryFullPath)) { - LogResourceSymlinkEscape(this._logger, skillName, resourceName); - return false; + if (this._logger.IsEnabled(LogLevel.Warning)) + { + LogResourcePathTraversal(this._logger, skillName, SanitizePathForLog(filePath)); + } + continue; } + + // Symlink check + if (HasSymlinkInPath(resolvedFilePath, normalizedSkillDirectoryFullPath)) + { + if (this._logger.IsEnabled(LogLevel.Warning)) + { + LogResourceSymlinkEscape(this._logger, skillName, SanitizePathForLog(filePath)); + } + continue; + } + + // Compute relative path and normalize to forward slashes + string relativePath = resolvedFilePath.Substring(normalizedSkillDirectoryFullPath.Length); + resources.Add(NormalizeResourcePath(relativePath)); } - return true; + return resources; } /// @@ -336,22 +382,6 @@ internal sealed partial class FileAgentSkillLoader return false; } - private static List ExtractResourcePaths(string content) - { - var seen = new HashSet(StringComparer.OrdinalIgnoreCase); - var paths = new List(); - foreach (Match m in s_resourceLinkRegex.Matches(content)) - { - string path = NormalizeResourcePath(m.Groups[1].Value); - if (seen.Add(path)) - { - paths.Add(path); - } - } - - return paths; - } - /// /// Normalizes a relative resource path by trimming a leading ./ prefix and replacing /// backslashes with forward slashes so that ./refs/doc.md and refs/doc.md are @@ -372,6 +402,43 @@ internal sealed partial class FileAgentSkillLoader return path; } + /// + /// Replaces control characters in a file path with '?' to prevent log injection + /// via crafted filenames (e.g., filenames containing newlines on Linux). + /// + private static string SanitizePathForLog(string path) + { + char[]? chars = null; + for (int i = 0; i < path.Length; i++) + { + if (char.IsControl(path[i])) + { + chars ??= path.ToCharArray(); + chars[i] = '?'; + } + } + + return chars is null ? path : new string(chars); + } + + private static void ValidateExtensions(IEnumerable? extensions) + { + if (extensions is null) + { + return; + } + + foreach (string ext in extensions) + { + if (string.IsNullOrWhiteSpace(ext) || !ext.StartsWith(".", StringComparison.Ordinal)) + { +#pragma warning disable CA2208 // Instantiate argument exceptions correctly + throw new ArgumentException($"Each extension must start with '.'. Invalid value: '{ext}'", nameof(FileAgentSkillsProviderOptions.AllowedResourceExtensions)); +#pragma warning restore CA2208 // Instantiate argument exceptions correctly + } + } + } + [LoggerMessage(LogLevel.Information, "Discovered {Count} potential skills")] private static partial void LogSkillsDiscovered(ILogger logger, int count); @@ -390,18 +457,18 @@ internal sealed partial class FileAgentSkillLoader [LoggerMessage(LogLevel.Error, "SKILL.md at '{SkillFilePath}' has an invalid '{FieldName}' value: {Reason}")] private static partial void LogInvalidFieldValue(ILogger logger, string skillFilePath, string fieldName, string reason); - [LoggerMessage(LogLevel.Warning, "Excluding skill '{SkillName}': referenced resource '{ResourceName}' does not exist")] - private static partial void LogMissingResource(ILogger logger, string skillName, string resourceName); - - [LoggerMessage(LogLevel.Warning, "Excluding skill '{SkillName}': resource '{ResourceName}' references a path outside the skill directory")] - private static partial void LogResourcePathTraversal(ILogger logger, string skillName, string resourceName); + [LoggerMessage(LogLevel.Warning, "Skipping resource in skill '{SkillName}': '{ResourcePath}' references a path outside the skill directory")] + private static partial void LogResourcePathTraversal(ILogger logger, string skillName, string resourcePath); [LoggerMessage(LogLevel.Warning, "Duplicate skill name '{SkillName}': skill from '{NewPath}' skipped in favor of existing skill from '{ExistingPath}'")] private static partial void LogDuplicateSkillName(ILogger logger, string skillName, string newPath, string existingPath); - [LoggerMessage(LogLevel.Warning, "Excluding skill '{SkillName}': resource '{ResourceName}' is a symlink that resolves outside the skill directory")] - private static partial void LogResourceSymlinkEscape(ILogger logger, string skillName, string resourceName); + [LoggerMessage(LogLevel.Warning, "Skipping resource in skill '{SkillName}': '{ResourcePath}' is a symlink that resolves outside the skill directory")] + private static partial void LogResourceSymlinkEscape(ILogger logger, string skillName, string resourcePath); [LoggerMessage(LogLevel.Information, "Reading resource '{FileName}' from skill '{SkillName}'")] private static partial void LogResourceReading(ILogger logger, string fileName, string skillName); + + [LoggerMessage(LogLevel.Debug, "Skipping file '{FilePath}' in skill '{SkillName}': extension '{Extension}' is not in the allowed list")] + private static partial void LogResourceSkippedExtension(ILogger logger, string skillName, string filePath, string extension); } diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs index ad1ef752ee..cd64cdc723 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProvider.cs @@ -88,7 +88,7 @@ public sealed partial class FileAgentSkillsProvider : AIContextProvider this._logger = (loggerFactory ?? NullLoggerFactory.Instance).CreateLogger(); - this._loader = new FileAgentSkillLoader(this._logger); + this._loader = new FileAgentSkillLoader(this._logger, options?.AllowedResourceExtensions); this._skills = this._loader.DiscoverAndLoadSkills(skillPaths); this._skillsInstructionPrompt = BuildSkillsInstructionPrompt(options, this._skills); diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProviderOptions.cs b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProviderOptions.cs index a47841c260..600c5b964c 100644 --- a/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProviderOptions.cs +++ b/dotnet/src/Microsoft.Agents.AI/Skills/FileAgentSkillsProviderOptions.cs @@ -1,5 +1,6 @@ // Copyright (c) Microsoft. All rights reserved. +using System.Collections.Generic; using System.Diagnostics.CodeAnalysis; using Microsoft.Shared.DiagnosticIds; @@ -17,4 +18,15 @@ public sealed class FileAgentSkillsProviderOptions /// When , a default template is used. /// public string? SkillsInstructionPrompt { get; set; } + + /// + /// Gets or sets the file extensions recognized as discoverable skill resources. + /// Each value must start with a '.' character (for example, .md), and + /// extension comparisons are performed in a case-insensitive manner. + /// Files in the skill directory (and its subdirectories) whose extension matches + /// one of these values will be automatically discovered as resources. + /// When , a default set of extensions is used + /// (.md, .json, .yaml, .yml, .csv, .xml, .txt). + /// + public IEnumerable? AllowedResourceExtensions { get; set; } } diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs index c34eb6d7f2..0c79aabc99 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs @@ -169,16 +169,17 @@ public sealed class FileAgentSkillLoaderTests : IDisposable } [Fact] - public void DiscoverAndLoadSkills_WithValidResourceLinks_ExtractsResourceNames() + public void DiscoverAndLoadSkills_FilesWithMatchingExtensions_DiscoveredAsResources() { - // Arrange + // Arrange — create resource files in the skill directory string skillDir = Path.Combine(this._testRoot, "resource-skill"); string refsDir = Path.Combine(skillDir, "refs"); Directory.CreateDirectory(refsDir); File.WriteAllText(Path.Combine(refsDir, "FAQ.md"), "FAQ content"); + File.WriteAllText(Path.Combine(refsDir, "data.json"), "{}"); File.WriteAllText( Path.Combine(skillDir, "SKILL.md"), - "---\nname: resource-skill\ndescription: Has resources\n---\nSee [FAQ](refs/FAQ.md) for details."); + "---\nname: resource-skill\ndescription: Has resources\n---\nSee docs for details."); // Act var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); @@ -186,29 +187,176 @@ public sealed class FileAgentSkillLoaderTests : IDisposable // Assert Assert.Single(skills); var skill = skills["resource-skill"]; - Assert.Single(skill.ResourceNames); - Assert.Equal("refs/FAQ.md", skill.ResourceNames[0]); + Assert.Equal(2, skill.ResourceNames.Count); + Assert.Contains(skill.ResourceNames, r => r.Equals("refs/FAQ.md", StringComparison.OrdinalIgnoreCase)); + Assert.Contains(skill.ResourceNames, r => r.Equals("refs/data.json", StringComparison.OrdinalIgnoreCase)); } [Fact] - public void DiscoverAndLoadSkills_PathTraversal_ExcludesSkill() + public void DiscoverAndLoadSkills_FilesWithNonMatchingExtensions_NotDiscovered() { - // Arrange — resource links outside the skill directory - string skillDir = Path.Combine(this._testRoot, "traversal-skill"); + // Arrange — create a file with an extension not in the default list + string skillDir = Path.Combine(this._testRoot, "ext-skill"); Directory.CreateDirectory(skillDir); - - // Create a file outside the skill dir that the traversal would resolve to - File.WriteAllText(Path.Combine(this._testRoot, "secret.txt"), "secret"); - + File.WriteAllText(Path.Combine(skillDir, "image.png"), "fake image"); + File.WriteAllText(Path.Combine(skillDir, "data.json"), "{}"); File.WriteAllText( Path.Combine(skillDir, "SKILL.md"), - "---\nname: traversal-skill\ndescription: Traversal attempt\n---\nSee [doc](../secret.txt)."); + "---\nname: ext-skill\ndescription: Extension test\n---\nBody."); // Act var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); // Assert - Assert.Empty(skills); + Assert.Single(skills); + var skill = skills["ext-skill"]; + Assert.Single(skill.ResourceNames); + Assert.Equal("data.json", skill.ResourceNames[0]); + } + + [Fact] + public void DiscoverAndLoadSkills_SkillMdFile_NotIncludedAsResource() + { + // Arrange — the SKILL.md file itself should not be in the resource list + string skillDir = Path.Combine(this._testRoot, "selfref-skill"); + Directory.CreateDirectory(skillDir); + File.WriteAllText(Path.Combine(skillDir, "notes.md"), "notes"); + File.WriteAllText( + Path.Combine(skillDir, "SKILL.md"), + "---\nname: selfref-skill\ndescription: Self ref test\n---\nBody."); + + // Act + var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); + + // Assert + Assert.Single(skills); + var skill = skills["selfref-skill"]; + Assert.Single(skill.ResourceNames); + Assert.Equal("notes.md", skill.ResourceNames[0]); + } + + [Fact] + public void DiscoverAndLoadSkills_NestedResourceFiles_Discovered() + { + // Arrange — resource files in nested subdirectories + string skillDir = Path.Combine(this._testRoot, "nested-res-skill"); + string deepDir = Path.Combine(skillDir, "level1", "level2"); + Directory.CreateDirectory(deepDir); + File.WriteAllText(Path.Combine(deepDir, "deep.md"), "deep content"); + File.WriteAllText( + Path.Combine(skillDir, "SKILL.md"), + "---\nname: nested-res-skill\ndescription: Nested resources\n---\nBody."); + + // Act + var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); + + // Assert + Assert.Single(skills); + var skill = skills["nested-res-skill"]; + Assert.Single(skill.ResourceNames); + Assert.Contains(skill.ResourceNames, r => r.Equals("level1/level2/deep.md", StringComparison.OrdinalIgnoreCase)); + } + + private static readonly string[] s_customExtensions = new[] { ".custom" }; + private static readonly string[] s_validExtensions = new[] { ".md", ".json", ".custom" }; + private static readonly string[] s_mixedValidInvalidExtensions = new[] { ".md", "json" }; + + [Fact] + public void DiscoverAndLoadSkills_CustomResourceExtensions_UsedForDiscovery() + { + // Arrange — use a loader with custom extensions + var customLoader = new FileAgentSkillLoader(NullLogger.Instance, s_customExtensions); + string skillDir = Path.Combine(this._testRoot, "custom-ext-skill"); + Directory.CreateDirectory(skillDir); + File.WriteAllText(Path.Combine(skillDir, "data.custom"), "custom data"); + File.WriteAllText(Path.Combine(skillDir, "data.json"), "{}"); + File.WriteAllText( + Path.Combine(skillDir, "SKILL.md"), + "---\nname: custom-ext-skill\ndescription: Custom extensions\n---\nBody."); + + // Act + var skills = customLoader.DiscoverAndLoadSkills(new[] { this._testRoot }); + + // Assert — only .custom files should be discovered, not .json + Assert.Single(skills); + var skill = skills["custom-ext-skill"]; + Assert.Single(skill.ResourceNames); + Assert.Equal("data.custom", skill.ResourceNames[0]); + } + + [Theory] + [InlineData("txt")] + [InlineData("")] + [InlineData(" ")] + public void Constructor_InvalidExtension_ThrowsArgumentException(string badExtension) + { + // Arrange & Act & Assert + Assert.Throws(() => new FileAgentSkillLoader(NullLogger.Instance, new[] { badExtension })); + } + + [Fact] + public void Constructor_NullExtensions_UsesDefaults() + { + // Arrange & Act + var loader = new FileAgentSkillLoader(NullLogger.Instance, null); + string skillDir = this.CreateSkillDirectory("null-ext", "A skill", "Body."); + File.WriteAllText(Path.Combine(skillDir, "notes.md"), "notes"); + + // Assert — default extensions include .md + var skills = loader.DiscoverAndLoadSkills(new[] { this._testRoot }); + Assert.Single(skills["null-ext"].ResourceNames); + } + + [Fact] + public void Constructor_ValidExtensions_DoesNotThrow() + { + // Arrange & Act & Assert — should not throw + var loader = new FileAgentSkillLoader(NullLogger.Instance, s_validExtensions); + Assert.NotNull(loader); + } + + [Fact] + public void Constructor_MixOfValidAndInvalidExtensions_ThrowsArgumentException() + { + // Arrange & Act & Assert — one bad extension in the list should cause failure + Assert.Throws(() => new FileAgentSkillLoader(NullLogger.Instance, s_mixedValidInvalidExtensions)); + } + + [Fact] + public void DiscoverAndLoadSkills_ResourceInSkillRoot_Discovered() + { + // Arrange — resource file directly in the skill directory (not in a subdirectory) + string skillDir = Path.Combine(this._testRoot, "root-resource-skill"); + Directory.CreateDirectory(skillDir); + File.WriteAllText(Path.Combine(skillDir, "guide.md"), "guide content"); + File.WriteAllText(Path.Combine(skillDir, "config.json"), "{}"); + File.WriteAllText( + Path.Combine(skillDir, "SKILL.md"), + "---\nname: root-resource-skill\ndescription: Root resources\n---\nBody."); + + // Act + var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); + + // Assert — both root-level resource files should be discovered + Assert.Single(skills); + var skill = skills["root-resource-skill"]; + Assert.Equal(2, skill.ResourceNames.Count); + Assert.Contains(skill.ResourceNames, r => r.Equals("guide.md", StringComparison.OrdinalIgnoreCase)); + Assert.Contains(skill.ResourceNames, r => r.Equals("config.json", StringComparison.OrdinalIgnoreCase)); + } + + [Fact] + public void DiscoverAndLoadSkills_NoResourceFiles_ReturnsEmptyResourceNames() + { + // Arrange — skill with no resource files + _ = this.CreateSkillDirectory("no-resources", "A skill", "No resources here."); + + // Act + var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); + + // Assert + Assert.Single(skills); + Assert.Empty(skills["no-resources"].ResourceNames); } [Fact] @@ -252,8 +400,11 @@ public sealed class FileAgentSkillLoaderTests : IDisposable [Fact] public async Task ReadSkillResourceAsync_ValidResource_ReturnsContentAsync() { - // Arrange - _ = this.CreateSkillDirectoryWithResource("read-skill", "A skill", "See [doc](refs/doc.md).", "refs/doc.md", "Document content here."); + // Arrange — create a skill with a resource file discovered from the directory + string skillDir = this.CreateSkillDirectory("read-skill", "A skill", "See docs for details."); + string refsDir = Path.Combine(skillDir, "refs"); + Directory.CreateDirectory(refsDir); + File.WriteAllText(Path.Combine(refsDir, "doc.md"), "Document content here."); var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); var skill = skills["read-skill"]; @@ -281,7 +432,10 @@ public sealed class FileAgentSkillLoaderTests : IDisposable public async Task ReadSkillResourceAsync_PathTraversal_ThrowsInvalidOperationExceptionAsync() { // Arrange — skill with a legitimate resource, then try to read a traversal path at read time - _ = this.CreateSkillDirectoryWithResource("traverse-read", "A skill", "See [doc](refs/doc.md).", "refs/doc.md", "legit"); + string skillDir = this.CreateSkillDirectory("traverse-read", "A skill", "See docs."); + string refsDir = Path.Combine(skillDir, "refs"); + Directory.CreateDirectory(refsDir); + File.WriteAllText(Path.Combine(refsDir, "doc.md"), "legit"); var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); var skill = skills["traverse-read"]; @@ -333,75 +487,14 @@ public sealed class FileAgentSkillLoaderTests : IDisposable Assert.Empty(skills); } - [Fact] - public void DiscoverAndLoadSkills_DuplicateResourceLinks_DeduplicatesResources() - { - // Arrange — body references the same resource twice - string skillDir = Path.Combine(this._testRoot, "dedup-skill"); - string refsDir = Path.Combine(skillDir, "refs"); - Directory.CreateDirectory(refsDir); - File.WriteAllText(Path.Combine(refsDir, "doc.md"), "content"); - File.WriteAllText( - Path.Combine(skillDir, "SKILL.md"), - "---\nname: dedup-skill\ndescription: Dedup test\n---\nSee [doc](refs/doc.md) and [again](refs/doc.md)."); - - // Act - var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); - - // Assert - Assert.Single(skills); - Assert.Single(skills["dedup-skill"].ResourceNames); - } - - [Fact] - public void DiscoverAndLoadSkills_DotSlashPrefix_NormalizesToBarePath() - { - // Arrange — body references a resource with ./ prefix - string skillDir = Path.Combine(this._testRoot, "dotslash-skill"); - string refsDir = Path.Combine(skillDir, "refs"); - Directory.CreateDirectory(refsDir); - File.WriteAllText(Path.Combine(refsDir, "doc.md"), "content"); - File.WriteAllText( - Path.Combine(skillDir, "SKILL.md"), - "---\nname: dotslash-skill\ndescription: Dot-slash test\n---\nSee [doc](./refs/doc.md)."); - - // Act - var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); - - // Assert - Assert.Single(skills); - var skill = skills["dotslash-skill"]; - Assert.Single(skill.ResourceNames); - Assert.Equal("refs/doc.md", skill.ResourceNames[0]); - } - - [Fact] - public void DiscoverAndLoadSkills_DotSlashAndBarePath_DeduplicatesResources() - { - // Arrange — body references the same resource with and without ./ prefix - string skillDir = Path.Combine(this._testRoot, "mixed-prefix-skill"); - string refsDir = Path.Combine(skillDir, "refs"); - Directory.CreateDirectory(refsDir); - File.WriteAllText(Path.Combine(refsDir, "doc.md"), "content"); - File.WriteAllText( - Path.Combine(skillDir, "SKILL.md"), - "---\nname: mixed-prefix-skill\ndescription: Mixed prefix test\n---\nSee [a](./refs/doc.md) and [b](refs/doc.md)."); - - // Act - var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); - - // Assert - Assert.Single(skills); - var skill = skills["mixed-prefix-skill"]; - Assert.Single(skill.ResourceNames); - Assert.Equal("refs/doc.md", skill.ResourceNames[0]); - } - [Fact] public async Task ReadSkillResourceAsync_DotSlashPrefix_MatchesNormalizedResourceAsync() { // Arrange — skill loaded with bare path, caller uses ./ prefix - _ = this.CreateSkillDirectoryWithResource("dotslash-read", "A skill", "See [doc](refs/doc.md).", "refs/doc.md", "Document content."); + string skillDir = this.CreateSkillDirectory("dotslash-read", "A skill", "See docs."); + string refsDir = Path.Combine(skillDir, "refs"); + Directory.CreateDirectory(refsDir); + File.WriteAllText(Path.Combine(refsDir, "doc.md"), "Document content."); var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); var skill = skills["dotslash-read"]; @@ -416,7 +509,10 @@ public sealed class FileAgentSkillLoaderTests : IDisposable public async Task ReadSkillResourceAsync_BackslashSeparator_MatchesNormalizedResourceAsync() { // Arrange — skill loaded with forward-slash path, caller uses backslashes - _ = this.CreateSkillDirectoryWithResource("backslash-read", "A skill", "See [doc](refs/doc.md).", "refs/doc.md", "Backslash content."); + string skillDir = this.CreateSkillDirectory("backslash-read", "A skill", "See docs."); + string refsDir = Path.Combine(skillDir, "refs"); + Directory.CreateDirectory(refsDir); + File.WriteAllText(Path.Combine(refsDir, "doc.md"), "Backslash content."); var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); var skill = skills["backslash-read"]; @@ -431,7 +527,10 @@ public sealed class FileAgentSkillLoaderTests : IDisposable public async Task ReadSkillResourceAsync_DotSlashWithBackslash_MatchesNormalizedResourceAsync() { // Arrange — skill loaded with forward-slash path, caller uses .\ prefix with backslashes - _ = this.CreateSkillDirectoryWithResource("mixed-sep-read", "A skill", "See [doc](refs/doc.md).", "refs/doc.md", "Mixed separator content."); + string skillDir = this.CreateSkillDirectory("mixed-sep-read", "A skill", "See docs."); + string refsDir = Path.Combine(skillDir, "refs"); + Directory.CreateDirectory(refsDir); + File.WriteAllText(Path.Combine(refsDir, "doc.md"), "Mixed separator content."); var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); var skill = skills["mixed-sep-read"]; @@ -443,14 +542,13 @@ public sealed class FileAgentSkillLoaderTests : IDisposable } #if NET - private static readonly string[] s_symlinkResource = ["refs/data.md"]; - [Fact] - public void DiscoverAndLoadSkills_SymlinkInPath_ExcludesSkill() + public void DiscoverAndLoadSkills_SymlinkInPath_SkipsSymlinkedResources() { // Arrange — a "refs" subdirectory is a symlink pointing outside the skill directory string skillDir = Path.Combine(this._testRoot, "symlink-escape-skill"); Directory.CreateDirectory(skillDir); + File.WriteAllText(Path.Combine(skillDir, "legit.md"), "legit content"); string outsideDir = Path.Combine(this._testRoot, "outside"); Directory.CreateDirectory(outsideDir); @@ -469,15 +567,20 @@ public sealed class FileAgentSkillLoaderTests : IDisposable File.WriteAllText( Path.Combine(skillDir, "SKILL.md"), - "---\nname: symlink-escape-skill\ndescription: Symlinked directory escape\n---\nSee [doc](refs/secret.md)."); + "---\nname: symlink-escape-skill\ndescription: Symlinked directory escape\n---\nBody."); // Act var skills = this._loader.DiscoverAndLoadSkills(new[] { this._testRoot }); - // Assert — skill should be excluded because refs/ is a symlink (reparse point) - Assert.False(skills.ContainsKey("symlink-escape-skill")); + // Assert — skill should still load, but symlinked resources should be excluded + Assert.True(skills.ContainsKey("symlink-escape-skill")); + var skill = skills["symlink-escape-skill"]; + Assert.Single(skill.ResourceNames); + Assert.Equal("legit.md", skill.ResourceNames[0]); } + private static readonly string[] s_symlinkResource = ["refs/data.md"]; + [Fact] public async Task ReadSkillResourceAsync_SymlinkInPath_ThrowsInvalidOperationExceptionAsync() { @@ -549,13 +652,4 @@ public sealed class FileAgentSkillLoaderTests : IDisposable File.WriteAllText(Path.Combine(skillDir, "SKILL.md"), rawContent); return skillDir; } - - private string CreateSkillDirectoryWithResource(string name, string description, string body, string resourceRelativePath, string resourceContent) - { - string skillDir = this.CreateSkillDirectory(name, description, body); - string resourcePath = Path.Combine(skillDir, resourceRelativePath); - Directory.CreateDirectory(Path.GetDirectoryName(resourcePath)!); - File.WriteAllText(resourcePath, resourceContent); - return skillDir; - } } From b2ad1c3424130f7c070cdd42d4e15434aaf4f38b Mon Sep 17 00:00:00 2001 From: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> Date: Wed, 4 Mar 2026 11:11:30 -0800 Subject: [PATCH 56/59] Update package versions (#4468) --- dotnet/nuget/nuget-package.props | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/dotnet/nuget/nuget-package.props b/dotnet/nuget/nuget-package.props index dcfcac4077..ee3b144b06 100644 --- a/dotnet/nuget/nuget-package.props +++ b/dotnet/nuget/nuget-package.props @@ -2,11 +2,11 @@ 1.0.0 - 2 + 3 $(VersionPrefix)-rc$(RCNumber) - $(VersionPrefix)-$(VersionSuffix).260225.1 - $(VersionPrefix)-preview.260225.1 - 1.0.0-rc2 + $(VersionPrefix)-$(VersionSuffix).260304.1 + $(VersionPrefix)-preview.260304.1 + 1.0.0-rc3 Debug;Release;Publish true From fd981da0f87b0fe6fb41061fa9633a2dbe55a6c5 Mon Sep 17 00:00:00 2001 From: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> Date: Wed, 4 Mar 2026 13:24:53 -0800 Subject: [PATCH 57/59] Fixed CA1873 warning (#4479) --- .../Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs b/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs index 7db4eff6d8..e4b772160e 100644 --- a/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs +++ b/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs @@ -747,9 +747,15 @@ public sealed partial class ChatClientAgent : AIAgent { // The agent has a ChatHistoryProvider configured, but the service returned a conversation id, // meaning the service manages chat history server-side. Both cannot be used simultaneously. - if (this._agentOptions?.WarnOnChatHistoryProviderConflict is true) + if (this._agentOptions?.WarnOnChatHistoryProviderConflict is true + && this._logger.IsEnabled(LogLevel.Warning)) { - this._logger.LogAgentChatClientHistoryProviderConflict(nameof(ChatClientAgentSession.ConversationId), nameof(this.ChatHistoryProvider), this.Id, this.GetLoggingAgentName()); + var loggingAgentName = this.GetLoggingAgentName(); + this._logger.LogAgentChatClientHistoryProviderConflict( + nameof(ChatClientAgentSession.ConversationId), + nameof(this.ChatHistoryProvider), + this.Id, + loggingAgentName); } if (this._agentOptions?.ThrowOnChatHistoryProviderConflict is true) From 23644ac6a78167d07a1959c017750438511d7896 Mon Sep 17 00:00:00 2001 From: Daichi Isami Date: Wed, 4 Mar 2026 13:40:34 -0800 Subject: [PATCH 58/59] .NET: bug fix for duplicate output on GitHubCopilotAgent (#3981) * bug fix for duplicate output on GitHubCopilotAgent * Add Test code for bug fix of duplicate output on GitHubCopilotAgenttT * update Test code for bug fix of duplicate output on GitHubCopilotAgenttT * update Test for duplicate output of GitHubCopilotAgent --------- Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com> Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> --- .../GitHubCopilotAgent.cs | 6 ++--- .../GitHubCopilotAgentTests.cs | 22 +++++++++++++++++++ 2 files changed, 25 insertions(+), 3 deletions(-) diff --git a/dotnet/src/Microsoft.Agents.AI.GitHub.Copilot/GitHubCopilotAgent.cs b/dotnet/src/Microsoft.Agents.AI.GitHub.Copilot/GitHubCopilotAgent.cs index c966f591fc..bbebd7a312 100644 --- a/dotnet/src/Microsoft.Agents.AI.GitHub.Copilot/GitHubCopilotAgent.cs +++ b/dotnet/src/Microsoft.Agents.AI.GitHub.Copilot/GitHubCopilotAgent.cs @@ -346,14 +346,14 @@ public sealed class GitHubCopilotAgent : AIAgent, IAsyncDisposable }; } - private AgentResponseUpdate ConvertToAgentResponseUpdate(AssistantMessageEvent assistantMessage) + internal AgentResponseUpdate ConvertToAgentResponseUpdate(AssistantMessageEvent assistantMessage) { - TextContent textContent = new(assistantMessage.Data?.Content ?? string.Empty) + AIContent content = new() { RawRepresentation = assistantMessage }; - return new AgentResponseUpdate(ChatRole.Assistant, [textContent]) + return new AgentResponseUpdate(ChatRole.Assistant, [content]) { AgentId = this.Id, ResponseId = assistantMessage.Data?.MessageId, diff --git a/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs b/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs index 5806636925..52ea0026dc 100644 --- a/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs @@ -221,4 +221,26 @@ public sealed class GitHubCopilotAgentTests Assert.Null(result.ConfigDir); Assert.True(result.Streaming); } + + [Fact] + public void ConvertToAgentResponseUpdate_AssistantMessageEvent_DoesNotEmitTextContent() + { + var assistantMessage = new AssistantMessageEvent + { + Data = new AssistantMessageData + { + MessageId = "msg-456", + Content = "Some streamed content that was already delivered via delta events" + } + }; + CopilotClient copilotClient = new(new CopilotClientOptions { AutoStart = false }); + const string TestId = "agent-id"; + var agent = new GitHubCopilotAgent(copilotClient, ownsClient: false, id: TestId, tools: null); + AgentResponseUpdate result = agent.ConvertToAgentResponseUpdate(assistantMessage); + + // result.Text need to be empty because the content was already delivered via delta events, and we want to avoid emitting duplicate content in the response update. + // The content should be delivered through TextContent in the Contents collection instead. + Assert.Empty(result.Text); + Assert.DoesNotContain(result.Contents, c => c is TextContent); + } } From d02051dbb672426976fe7b1d00142679121bca43 Mon Sep 17 00:00:00 2001 From: Giles Odigwe <79032838+giles17@users.noreply.github.com> Date: Wed, 4 Mar 2026 15:14:17 -0800 Subject: [PATCH 59/59] 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> --- .../packages/core/agent_framework/_agents.py | 28 +++++- .../packages/core/tests/core/test_agents.py | 75 +++++++++++++++ .../agent_as_tool_with_session_propagation.py | 93 +++++++++++++++++++ 3 files changed, 191 insertions(+), 5 deletions(-) create mode 100644 python/samples/02-agents/tools/agent_as_tool_with_session_propagation.py diff --git a/python/packages/core/agent_framework/_agents.py b/python/packages/core/agent_framework/_agents.py index cd2dc7bfc7..a0c998757c 100644 --- a/python/packages/core/agent_framework/_agents.py +++ b/python/packages/core/agent_framework/_agents.py @@ -454,6 +454,7 @@ class BaseAgent(SerializationMixin): stream_callback: Callable[[AgentResponseUpdate], None] | Callable[[AgentResponseUpdate], Awaitable[None]] | None = None, + propagate_session: bool = False, ) -> FunctionTool: """Create a FunctionTool that wraps this agent. @@ -464,6 +465,12 @@ class BaseAgent(SerializationMixin): arg_description: The description for the function argument. If None, defaults to "Task for {tool_name}". stream_callback: Optional callback for streaming responses. If provided, uses run(..., stream=True). + propagate_session: If True, the parent agent's ``AgentSession`` is + forwarded to this sub-agent's ``run()`` call, so both agents + operate within the same logical session (sharing the same + ``session_id`` and provider-managed state, such as any stored + conversation history or metadata). Defaults to False, meaning + the sub-agent runs with a new, independent session. Returns: A FunctionTool that can be used as a tool by other agents. @@ -480,9 +487,12 @@ class BaseAgent(SerializationMixin): # Create an agent agent = Agent(client=client, name="research-agent", description="Performs research tasks") - # Convert the agent to a tool + # Convert the agent to a tool (independent session) research_tool = agent.as_tool() + # Convert the agent to a tool (shared session with parent) + research_tool = agent.as_tool(propagate_session=True) + # Use the tool with another agent coordinator = Agent(client=client, name="coordinator", tools=research_tool) """ @@ -509,16 +519,21 @@ class BaseAgent(SerializationMixin): # Extract the input from kwargs using the specified arg_name input_text = kwargs.get(arg_name, "") - # Forward runtime context kwargs, excluding arg_name and conversation_id. - forwarded_kwargs = {k: v for k, v in kwargs.items() if k not in (arg_name, "conversation_id", "options")} + # Extract parent session when propagate_session is enabled + parent_session = kwargs.get("session") if propagate_session else None + + # Forward runtime context kwargs, excluding framework-internal keys. + forwarded_kwargs = { + k: v for k, v in kwargs.items() if k not in (arg_name, "conversation_id", "options", "session") + } if stream_callback is None: # Use non-streaming mode - return (await self.run(input_text, stream=False, **forwarded_kwargs)).text + return (await self.run(input_text, stream=False, session=parent_session, **forwarded_kwargs)).text # Use streaming mode - accumulate updates and create final response response_updates: list[AgentResponseUpdate] = [] - async for update in self.run(input_text, stream=True, **forwarded_kwargs): + async for update in self.run(input_text, stream=True, session=parent_session, **forwarded_kwargs): response_updates.append(update) if is_async_callback: await stream_callback(update) # type: ignore[misc] @@ -1061,6 +1076,9 @@ class RawAgent(BaseAgent, Generic[OptionsCoT]): # type: ignore[misc] # in function middleware context and tool invocation. existing_additional_args = opts.pop("additional_function_arguments", None) or {} additional_function_arguments = {**kwargs, **existing_additional_args} + # Include session so as_tool() wrappers with propagate_session=True can access it. + if active_session is not None: + additional_function_arguments["session"] = active_session # Build options dict from run() options merged with provided options run_opts: dict[str, Any] = { diff --git a/python/packages/core/tests/core/test_agents.py b/python/packages/core/tests/core/test_agents.py index c8d2d9bf8b..d41b87b707 100644 --- a/python/packages/core/tests/core/test_agents.py +++ b/python/packages/core/tests/core/test_agents.py @@ -707,6 +707,81 @@ async def test_chat_agent_as_tool_name_sanitization(client: SupportsChatGetRespo assert tool.name == expected_tool_name, f"Expected {expected_tool_name}, got {tool.name} for input {agent_name}" +async def test_chat_agent_as_tool_propagate_session_true(client: SupportsChatGetResponse) -> None: + """Test that propagate_session=True forwards the parent's session to the sub-agent.""" + agent = Agent(client=client, name="SubAgent", description="Sub agent") + tool = agent.as_tool(propagate_session=True) + + parent_session = AgentSession(session_id="parent-session-123") + parent_session.state["shared_key"] = "shared_value" + + # Spy on the agent's run method to capture the session argument + original_run = agent.run + captured_session = None + + def capturing_run(*args: Any, **kwargs: Any) -> Any: + nonlocal captured_session + captured_session = kwargs.get("session") + return original_run(*args, **kwargs) + + agent.run = capturing_run # type: ignore[assignment, method-assign] + + await tool.invoke(arguments=tool.input_model(task="Hello"), session=parent_session) + + assert captured_session is parent_session + assert captured_session.session_id == "parent-session-123" + assert captured_session.state["shared_key"] == "shared_value" + + +async def test_chat_agent_as_tool_propagate_session_false_by_default(client: SupportsChatGetResponse) -> None: + """Test that propagate_session defaults to False and does not forward the session.""" + agent = Agent(client=client, name="SubAgent", description="Sub agent") + tool = agent.as_tool() # default: propagate_session=False + + parent_session = AgentSession(session_id="parent-session-456") + + original_run = agent.run + captured_session = None + + def capturing_run(*args: Any, **kwargs: Any) -> Any: + nonlocal captured_session + captured_session = kwargs.get("session") + return original_run(*args, **kwargs) + + agent.run = capturing_run # type: ignore[assignment, method-assign] + + await tool.invoke(arguments=tool.input_model(task="Hello"), session=parent_session) + + assert captured_session is None + + +async def test_chat_agent_as_tool_propagate_session_shares_state(client: SupportsChatGetResponse) -> None: + """Test that shared session allows the sub-agent to read and write parent's state.""" + agent = Agent(client=client, name="SubAgent", description="Sub agent") + tool = agent.as_tool(propagate_session=True) + + parent_session = AgentSession(session_id="shared-session") + parent_session.state["counter"] = 0 + + # The sub-agent receives the same session object, so mutations are shared + original_run = agent.run + captured_session = None + + def capturing_run(*args: Any, **kwargs: Any) -> Any: + nonlocal captured_session + captured_session = kwargs.get("session") + if captured_session: + captured_session.state["counter"] += 1 + return original_run(*args, **kwargs) + + agent.run = capturing_run # type: ignore[assignment, method-assign] + + await tool.invoke(arguments=tool.input_model(task="Hello"), session=parent_session) + + # The parent's state should reflect the sub-agent's mutation + assert parent_session.state["counter"] == 1 + + async def test_chat_agent_as_mcp_server_basic(client: SupportsChatGetResponse) -> None: """Test basic as_mcp_server functionality.""" agent = Agent(client=client, name="TestAgent", description="Test agent for MCP") diff --git a/python/samples/02-agents/tools/agent_as_tool_with_session_propagation.py b/python/samples/02-agents/tools/agent_as_tool_with_session_propagation.py new file mode 100644 index 0000000000..33748437e0 --- /dev/null +++ b/python/samples/02-agents/tools/agent_as_tool_with_session_propagation.py @@ -0,0 +1,93 @@ +# Copyright (c) Microsoft. All rights reserved. + +import asyncio +from collections.abc import Awaitable, Callable + +from agent_framework import AgentContext, AgentSession +from agent_framework.openai import OpenAIResponsesClient +from dotenv import load_dotenv + +load_dotenv() + +""" +Agent-as-Tool: Session Propagation Example + +Demonstrates how to share an AgentSession between a coordinator agent and a +sub-agent invoked as a tool using ``propagate_session=True``. + +When session propagation is enabled, both agents share the same session object, +including session_id and the mutable state dict. This allows correlated +conversation tracking and shared state across the agent hierarchy. + +The middleware functions below are purely for observability — they are NOT +required for session propagation to work. +""" + + +async def log_session( + context: AgentContext, + call_next: Callable[[], Awaitable[None]], +) -> None: + """Agent middleware that logs the session received by each agent. + + NOT required for session propagation — only used to observe the flow. + If propagation is working, both agents will show the same session_id. + """ + session: AgentSession | None = context.session + agent_name = context.agent.name or "unknown" + session_id = session.session_id if session else None + state = dict(session.state) if session else {} + print(f" [{agent_name}] session_id={session_id}, state={state}") + await call_next() + + +async def main() -> None: + print("=== Agent-as-Tool: Session Propagation ===\n") + + client = OpenAIResponsesClient() + + # --- Sub-agent: a research specialist --- + # The sub-agent has the same log_session middleware to prove it receives the session. + research_agent = client.as_agent( + name="ResearchAgent", + instructions="You are a research assistant. Provide concise answers.", + middleware=[log_session], + ) + + # propagate_session=True: the coordinator's session will be forwarded + research_tool = research_agent.as_tool( + name="research", + description="Research a topic and return findings", + arg_name="query", + arg_description="The research query", + propagate_session=True, + ) + + # --- Coordinator agent --- + coordinator = client.as_agent( + name="CoordinatorAgent", + instructions="You coordinate research. Use the 'research' tool to look up information.", + tools=[research_tool], + middleware=[log_session], + ) + + # Create a shared session and put some state in it + session = coordinator.create_session() + session.state["request_source"] = "demo" + print(f"Session ID: {session.session_id}") + print(f"Session state before run: {session.state}\n") + + query = "What are the latest developments in quantum computing?" + print(f"User: {query}\n") + + result = await coordinator.run(query, session=session) + + print(f"\nCoordinator: {result}\n") + print(f"Session state after run: {session.state}") + print( + "\nIf both agents show the same session_id above, session propagation is working." + ) + + +if __name__ == "__main__": + asyncio.run(main())