From 1308bdee63f52e000f5cf201c5a97fa96c825bff Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Thu, 5 Feb 2026 21:28:23 -0500 Subject: [PATCH 1/3] feat: add started_event_id and set in eventbus * feat: add started_event_id and set in eventbus * chore: update additional test assumption * fix: restore event bus handlers on context exit fix rollback in crewai events bus so that exiting the context restores the previous _sync_handlers, _async_handlers, _handler_dependencies, and _execution_plan_cache by assigning shallow copies of the saved dicts. previously these were set to empty dicts on exit, which caused registered handlers and cached execution plans to be lost. --- lib/crewai/src/crewai/events/base_events.py | 1 + lib/crewai/src/crewai/events/event_bus.py | 59 ++++++++++++++----- .../tests/memory/test_external_memory.py | 4 ++ .../tests/memory/test_long_term_memory.py | 4 ++ .../tests/memory/test_short_term_memory.py | 4 ++ 5 files changed, 57 insertions(+), 15 deletions(-) diff --git a/lib/crewai/src/crewai/events/base_events.py b/lib/crewai/src/crewai/events/base_events.py index 7148e5e1d..6eeaa06e8 100644 --- a/lib/crewai/src/crewai/events/base_events.py +++ b/lib/crewai/src/crewai/events/base_events.py @@ -63,6 +63,7 @@ class BaseEvent(BaseModel): parent_event_id: str | None = None previous_event_id: str | None = None triggered_by_event_id: str | None = None + started_event_id: str | None = None emission_sequence: int | None = None def to_json(self, exclude: set[str] | None = None) -> Serializable: diff --git a/lib/crewai/src/crewai/events/event_bus.py b/lib/crewai/src/crewai/events/event_bus.py index d0aaa4455..b30d469b9 100644 --- a/lib/crewai/src/crewai/events/event_bus.py +++ b/lib/crewai/src/crewai/events/event_bus.py @@ -407,7 +407,8 @@ class CrewAIEventsBus: if popped is None: handle_empty_pop(event_type_name) else: - _, popped_type = popped + popped_event_id, popped_type = popped + event.started_event_id = popped_event_id expected_start = VALID_EVENT_PAIRS.get(event_type_name) if expected_start and popped_type and popped_type != expected_start: handle_mismatch(event_type_name, popped_type, expected_start) @@ -569,24 +570,52 @@ class CrewAIEventsBus: ... # Do stuff... ... # Handlers are cleared after the context """ - with self._rwlock.w_locked(): - prev_sync = self._sync_handlers - prev_async = self._async_handlers - prev_deps = self._handler_dependencies - prev_cache = self._execution_plan_cache - self._sync_handlers = {} - self._async_handlers = {} - self._handler_dependencies = {} - self._execution_plan_cache = {} + with self._rwlock.r_locked(): + saved_sync: dict[type[BaseEvent], frozenset[SyncHandler]] = dict( + self._sync_handlers + ) + saved_async: dict[type[BaseEvent], frozenset[AsyncHandler]] = dict( + self._async_handlers + ) + saved_deps: dict[type[BaseEvent], dict[Handler, list[Depends[Any]]]] = { + event_type: dict(handlers) + for event_type, handlers in self._handler_dependencies.items() + } + + for event_type, sync_handlers in saved_sync.items(): + for sync_handler in sync_handlers: + self.off(event_type, sync_handler) + + for event_type, async_handlers in saved_async.items(): + for async_handler in async_handlers: + self.off(event_type, async_handler) try: yield finally: - with self._rwlock.w_locked(): - self._sync_handlers = prev_sync - self._async_handlers = prev_async - self._handler_dependencies = prev_deps - self._execution_plan_cache = prev_cache + with self._rwlock.r_locked(): + current_sync = dict(self._sync_handlers) + current_async = dict(self._async_handlers) + + for event_type, cur_sync in current_sync.items(): + orig_sync = saved_sync.get(event_type, frozenset()) + for new_handler in cur_sync - orig_sync: + self.off(event_type, new_handler) + + for event_type, cur_async in current_async.items(): + orig_async = saved_async.get(event_type, frozenset()) + for new_async_handler in cur_async - orig_async: + self.off(event_type, new_async_handler) + + for event_type, sync_handlers in saved_sync.items(): + for sync_handler in sync_handlers: + deps = saved_deps.get(event_type, {}).get(sync_handler) + self._register_handler(event_type, sync_handler, deps) + + for event_type, async_handlers in saved_async.items(): + for async_handler in async_handlers: + deps = saved_deps.get(event_type, {}).get(async_handler) + self._register_handler(event_type, async_handler, deps) def shutdown(self, wait: bool = True) -> None: """Gracefully shutdown the event loop and wait for all tasks to finish. diff --git a/lib/crewai/tests/memory/test_external_memory.py b/lib/crewai/tests/memory/test_external_memory.py index 8718c5aca..1872bc0af 100644 --- a/lib/crewai/tests/memory/test_external_memory.py +++ b/lib/crewai/tests/memory/test_external_memory.py @@ -308,6 +308,7 @@ def test_external_memory_search_events( "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "query": "test value", "limit": 3, @@ -330,6 +331,7 @@ def test_external_memory_search_events( "parent_event_id": ANY, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "query": "test value", "results": [], @@ -390,6 +392,7 @@ def test_external_memory_save_events( "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "value": "saving value", "metadata": {"task": "test_task"}, @@ -411,6 +414,7 @@ def test_external_memory_save_events( "parent_event_id": ANY, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "value": "saving value", "metadata": {"task": "test_task"}, diff --git a/lib/crewai/tests/memory/test_long_term_memory.py b/lib/crewai/tests/memory/test_long_term_memory.py index c33e4469b..500fab169 100644 --- a/lib/crewai/tests/memory/test_long_term_memory.py +++ b/lib/crewai/tests/memory/test_long_term_memory.py @@ -74,6 +74,7 @@ def test_long_term_memory_save_events(long_term_memory): "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "value": "test_task", "metadata": {"task": "test_task", "quality": 0.5}, @@ -94,6 +95,7 @@ def test_long_term_memory_save_events(long_term_memory): "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "value": "test_task", "metadata": { @@ -153,6 +155,7 @@ def test_long_term_memory_search_events(long_term_memory): "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "query": "test query", "limit": 5, @@ -175,6 +178,7 @@ def test_long_term_memory_search_events(long_term_memory): "parent_event_id": ANY, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "query": "test query", "results": None, diff --git a/lib/crewai/tests/memory/test_short_term_memory.py b/lib/crewai/tests/memory/test_short_term_memory.py index 8ea64553a..5e74b688d 100644 --- a/lib/crewai/tests/memory/test_short_term_memory.py +++ b/lib/crewai/tests/memory/test_short_term_memory.py @@ -85,6 +85,7 @@ def test_short_term_memory_search_events(short_term_memory): "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "query": "test value", "limit": 3, @@ -107,6 +108,7 @@ def test_short_term_memory_search_events(short_term_memory): "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "query": "test value", "results": [], @@ -164,6 +166,7 @@ def test_short_term_memory_save_events(short_term_memory): "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "value": "test value", "metadata": {"task": "test_task"}, @@ -185,6 +188,7 @@ def test_short_term_memory_save_events(short_term_memory): "parent_event_id": None, "previous_event_id": ANY, "triggered_by_event_id": None, + "started_event_id": ANY, "emission_sequence": ANY, "value": "test value", "metadata": {"task": "test_task"}, From 7d498b29beaf626a19ae3ef61900594b41f8fcef Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Fri, 6 Feb 2026 14:02:43 -0500 Subject: [PATCH 2/3] fix: event ordering; flow state locks, routing * fix: add current task id context and flow updates introduce a context var for the current task id in `crewai.context` to track task scope. update `Flow._execute_single_listener` to return `(result, event_id)` and adjust callers to unpack it and append `FlowMethodName(str(result))` to `router_results`. set/reset the current task id at the start/end of task execution (async + sync) with minor import and call-site tweaks. * fix: await event futures and flush event bus call `crewai_event_bus.flush()` after crew kickoff. in `Flow`, await event handler futures instead of just collecting them: await pending `_event_futures` before finishing, await emitted futures immediately with try/except to log failures, then clear `_event_futures`. ensures handlers complete and errors surface. * fix: continue iteration on tool completion events expand the loop bridge listener to also trigger on tool completion events (`tool_completed` and `native_tool_completed`) so agent iteration resumes after tools finish. add a `requests.post` mock and response fixture in the liteagent test to simulate platform tool execution. refresh and sanitize vcr cassettes (updated model responses, timestamps, and header placeholders) to reflect tool-call flows and new recordings. * fix: thread-safe state proxies & native routing add thread-safe state proxies and refactor native tool routing. * introduce `LockedListProxy` and `LockedDictProxy` in `flow.py` and update `StateProxy` to return them for list/dict attrs so mutations are protected by the flow lock. * update `AgentExecutor` to use `StateProxy` on flow init, guard the messages setter with the state lock, and return a `StateProxy` from the temp state accessor. * convert `call_llm_native_tools` into a listener (no direct routing return) and add `route_native_tool_result` to route based on state (pending tool calls, final answer, or context error). * minor cleanup in `continue_iteration` to drop orphan listeners on init. * update test cassettes for new native tool call responses, timestamps, and ids. improves concurrency safety for shared state and makes native tool routing explicit. * chore: regen cassettes * chore: regen cassettes, remove duplicate listener call path --- lib/crewai/src/crewai/context.py | 20 + lib/crewai/src/crewai/crew.py | 1 + .../src/crewai/experimental/agent_executor.py | 51 +- lib/crewai/src/crewai/flow/flow.py | 229 ++++++--- lib/crewai/src/crewai/task.py | 5 + lib/crewai/tests/agents/test_lite_agent.py | 12 +- ...est_agent_kickoff_with_platform_tools.yaml | 193 ++++++-- .../test_guardrail_reached_attempt_limit.yaml | 460 ++++++++++-------- .../test_lite_agent_inside_flow_sync.yaml | 37 +- ...est_lite_agent_standalone_still_works.yaml | 37 +- .../test_multiple_agents_in_same_flow.yaml | 77 +-- ...st_native_tool_calling_error_handling.yaml | 65 ++- ..._kickoff_structured_output_with_tools.yaml | 12 +- ...ckoff_structured_output_without_tools.yaml | 21 +- 14 files changed, 745 insertions(+), 475 deletions(-) diff --git a/lib/crewai/src/crewai/context.py b/lib/crewai/src/crewai/context.py index 8edc4fdfb..bf73a221c 100644 --- a/lib/crewai/src/crewai/context.py +++ b/lib/crewai/src/crewai/context.py @@ -43,3 +43,23 @@ def platform_context(integration_token: str) -> Generator[None, Any, None]: yield finally: _platform_integration_token.reset(token) + + +_current_task_id: contextvars.ContextVar[str | None] = contextvars.ContextVar( + "current_task_id", default=None +) + + +def set_current_task_id(task_id: str | None) -> contextvars.Token[str | None]: + """Set the current task ID in the context. Returns a token for reset.""" + return _current_task_id.set(task_id) + + +def reset_current_task_id(token: contextvars.Token[str | None]) -> None: + """Reset the current task ID to its previous value.""" + _current_task_id.reset(token) + + +def get_current_task_id() -> str | None: + """Get the current task ID from the context.""" + return _current_task_id.get() diff --git a/lib/crewai/src/crewai/crew.py b/lib/crewai/src/crewai/crew.py index 09a103eba..c69dae65a 100644 --- a/lib/crewai/src/crewai/crew.py +++ b/lib/crewai/src/crewai/crew.py @@ -1517,6 +1517,7 @@ class Crew(FlowTrackable, BaseModel): final_string_output = final_task_output.raw self._finish_execution(final_string_output) self.token_usage = self.calculate_usage_metrics() + crewai_event_bus.flush() crewai_event_bus.emit( self, CrewKickoffCompletedEvent( diff --git a/lib/crewai/src/crewai/experimental/agent_executor.py b/lib/crewai/src/crewai/experimental/agent_executor.py index 87f9e83d4..037df6793 100644 --- a/lib/crewai/src/crewai/experimental/agent_executor.py +++ b/lib/crewai/src/crewai/experimental/agent_executor.py @@ -32,7 +32,8 @@ from crewai.events.types.tool_usage_events import ( ToolUsageFinishedEvent, ToolUsageStartedEvent, ) -from crewai.flow.flow import Flow, listen, or_, router, start +from crewai.flow.flow import Flow, StateProxy, listen, or_, router, start +from crewai.flow.types import FlowMethodName from crewai.hooks.llm_hooks import ( get_after_llm_call_hooks, get_before_llm_call_hooks, @@ -225,7 +226,11 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): @messages.setter def messages(self, value: list[LLMMessage]) -> None: """Delegate to state for ExecutorContext conformance.""" - self._state.messages = value + if self._flow_initialized and hasattr(self, "_state_lock"): + with self._state_lock: + self._state.messages = value + else: + self._state.messages = value @property def ask_for_human_input(self) -> bool: @@ -353,6 +358,8 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): Flow initialization is deferred to prevent event emission during agent setup. Returns the temporary state until invoke() is called. """ + if self._flow_initialized and hasattr(self, "_state_lock"): + return StateProxy(self._state, self._state_lock) # type: ignore[return-value] return self._state @property @@ -461,15 +468,14 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): raise @listen("continue_reasoning_native") - def call_llm_native_tools( - self, - ) -> Literal["native_tool_calls", "native_finished", "context_error"]: + def call_llm_native_tools(self) -> None: """Execute LLM call with native function calling. Always calls the LLM so it can read reflection prompts and decide whether to provide a final answer or request more tools. - Returns routing decision based on whether tool calls or final answer. + Note: This is a listener, not a router. The route_native_tool_result + router fires after this to determine the next step based on state. """ try: # Clear pending tools - LLM will decide what to do next after reading @@ -499,8 +505,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): if isinstance(answer, list) and answer and self._is_tool_call_list(answer): # Store tool calls for sequential processing self.state.pending_tool_calls = list(answer) - - return "native_tool_calls" + return # Router will check pending_tool_calls if isinstance(answer, BaseModel): self.state.current_answer = AgentFinish( @@ -510,7 +515,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): ) self._invoke_step_callback(self.state.current_answer) self._append_message_to_state(answer.model_dump_json()) - return "native_finished" + return # Router will check current_answer # Text response - this is the final answer if isinstance(answer, str): @@ -521,8 +526,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): ) self._invoke_step_callback(self.state.current_answer) self._append_message_to_state(answer) - - return "native_finished" + return # Router will check current_answer # Unexpected response type, treat as final answer self.state.current_answer = AgentFinish( @@ -532,13 +536,12 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): ) self._invoke_step_callback(self.state.current_answer) self._append_message_to_state(str(answer)) - - return "native_finished" + # Router will check current_answer except Exception as e: if is_context_length_exceeded(e): self._last_context_error = e - return "context_error" + return # Router will check _last_context_error if e.__class__.__module__.startswith("litellm"): raise e handle_unknown_error(self._printer, e, verbose=self.agent.verbose) @@ -551,6 +554,22 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): return "execute_tool" return "agent_finished" + @router(call_llm_native_tools) + def route_native_tool_result( + self, + ) -> Literal["native_tool_calls", "native_finished", "context_error"]: + """Route based on LLM response for native tool calling. + + Checks state set by call_llm_native_tools to determine next step. + This router is needed because only router return values trigger + downstream listeners. + """ + if self._last_context_error is not None: + return "context_error" + if self.state.pending_tool_calls: + return "native_tool_calls" + return "native_finished" + @listen("execute_tool") def execute_tool_action(self) -> Literal["tool_completed", "tool_result_is_final"]: """Execute the tool action and handle the result.""" @@ -908,9 +927,11 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): self.state.iterations += 1 return "initialized" - @listen("initialized") + @listen(or_("initialized", "tool_completed", "native_tool_completed")) def continue_iteration(self) -> Literal["check_iteration"]: """Bridge listener that connects iteration loop back to iteration check.""" + if self._flow_initialized: + self._discard_or_listener(FlowMethodName("continue_iteration")) return "check_iteration" @router(or_(initialize_reasoning, continue_iteration)) diff --git a/lib/crewai/src/crewai/flow/flow.py b/lib/crewai/src/crewai/flow/flow.py index 64bd86d53..5a6ac4557 100644 --- a/lib/crewai/src/crewai/flow/flow.py +++ b/lib/crewai/src/crewai/flow/flow.py @@ -7,7 +7,14 @@ for building event-driven workflows with conditional execution and routing. from __future__ import annotations import asyncio -from collections.abc import Callable, Sequence +from collections.abc import ( + Callable, + ItemsView, + Iterator, + KeysView, + Sequence, + ValuesView, +) from concurrent.futures import Future import copy import inspect @@ -409,6 +416,132 @@ def and_(*conditions: str | FlowCondition | Callable[..., Any]) -> FlowCondition return {"type": AND_CONDITION, "conditions": processed_conditions} +class LockedListProxy(Generic[T]): + """Thread-safe proxy for list operations. + + Wraps a list and uses a lock for all mutating operations. + """ + + def __init__(self, lst: list[T], lock: threading.Lock) -> None: + self._list = lst + self._lock = lock + + def append(self, item: T) -> None: + with self._lock: + self._list.append(item) + + def extend(self, items: list[T]) -> None: + with self._lock: + self._list.extend(items) + + def insert(self, index: int, item: T) -> None: + with self._lock: + self._list.insert(index, item) + + def remove(self, item: T) -> None: + with self._lock: + self._list.remove(item) + + def pop(self, index: int = -1) -> T: + with self._lock: + return self._list.pop(index) + + def clear(self) -> None: + with self._lock: + self._list.clear() + + def __setitem__(self, index: int, value: T) -> None: + with self._lock: + self._list[index] = value + + def __delitem__(self, index: int) -> None: + with self._lock: + del self._list[index] + + def __getitem__(self, index: int) -> T: + return self._list[index] + + def __len__(self) -> int: + return len(self._list) + + def __iter__(self) -> Iterator[T]: + return iter(self._list) + + def __contains__(self, item: object) -> bool: + return item in self._list + + def __repr__(self) -> str: + return repr(self._list) + + def __bool__(self) -> bool: + return bool(self._list) + + +class LockedDictProxy(Generic[T]): + """Thread-safe proxy for dict operations. + + Wraps a dict and uses a lock for all mutating operations. + """ + + def __init__(self, d: dict[str, T], lock: threading.Lock) -> None: + self._dict = d + self._lock = lock + + def __setitem__(self, key: str, value: T) -> None: + with self._lock: + self._dict[key] = value + + def __delitem__(self, key: str) -> None: + with self._lock: + del self._dict[key] + + def pop(self, key: str, *default: T) -> T: + with self._lock: + return self._dict.pop(key, *default) + + def update(self, other: dict[str, T]) -> None: + with self._lock: + self._dict.update(other) + + def clear(self) -> None: + with self._lock: + self._dict.clear() + + def setdefault(self, key: str, default: T) -> T: + with self._lock: + return self._dict.setdefault(key, default) + + def __getitem__(self, key: str) -> T: + return self._dict[key] + + def __len__(self) -> int: + return len(self._dict) + + def __iter__(self) -> Iterator[str]: + return iter(self._dict) + + def __contains__(self, key: object) -> bool: + return key in self._dict + + def keys(self) -> KeysView[str]: + return self._dict.keys() + + def values(self) -> ValuesView[T]: + return self._dict.values() + + def items(self) -> ItemsView[str, T]: + return self._dict.items() + + def get(self, key: str, default: T | None = None) -> T | None: + return self._dict.get(key, default) + + def __repr__(self) -> str: + return repr(self._dict) + + def __bool__(self) -> bool: + return bool(self._dict) + + class StateProxy(Generic[T]): """Proxy that provides thread-safe access to flow state. @@ -423,7 +556,13 @@ class StateProxy(Generic[T]): object.__setattr__(self, "_proxy_lock", lock) def __getattr__(self, name: str) -> Any: - return getattr(object.__getattribute__(self, "_proxy_state"), name) + value = getattr(object.__getattribute__(self, "_proxy_state"), name) + lock = object.__getattribute__(self, "_proxy_lock") + if isinstance(value, list): + return LockedListProxy(value, lock) + if isinstance(value, dict): + return LockedDictProxy(value, lock) + return value def __setattr__(self, name: str, value: Any) -> None: if name in ("_proxy_state", "_proxy_lock"): @@ -1593,7 +1732,6 @@ class Flow(Generic[T], metaclass=FlowMeta): reset_emission_counter() reset_last_event_id() - # Emit FlowStartedEvent and log the start of the flow. if not self.suppress_flow_events: future = crewai_event_bus.emit( self, @@ -1604,7 +1742,10 @@ class Flow(Generic[T], metaclass=FlowMeta): ), ) if future: - self._event_futures.append(future) + try: + await asyncio.wrap_future(future) + except Exception: + logger.warning("FlowStartedEvent handler failed", exc_info=True) self._log_flow_event( f"Flow started with ID: {self.flow_id}", color="bold magenta" ) @@ -1696,6 +1837,12 @@ class Flow(Generic[T], metaclass=FlowMeta): final_output = self._method_outputs[-1] if self._method_outputs else None + if self._event_futures: + await asyncio.gather( + *[asyncio.wrap_future(f) for f in self._event_futures] + ) + self._event_futures.clear() + if not self.suppress_flow_events: future = crewai_event_bus.emit( self, @@ -1707,13 +1854,12 @@ class Flow(Generic[T], metaclass=FlowMeta): ), ) if future: - self._event_futures.append(future) - - if self._event_futures: - await asyncio.gather( - *[asyncio.wrap_future(f) for f in self._event_futures] - ) - self._event_futures.clear() + try: + await asyncio.wrap_future(future) + except Exception: + logger.warning( + "FlowFinishedEvent handler failed", exc_info=True + ) if not self.suppress_flow_events: trace_listener = TraceCollectionListener() @@ -2027,15 +2173,14 @@ class Flow(Generic[T], metaclass=FlowMeta): router_input = router_result_to_feedback.get( str(current_trigger), current_result ) - current_triggering_event_id = await self._execute_single_listener( + ( + router_result, + current_triggering_event_id, + ) = await self._execute_single_listener( router_name, router_input, current_triggering_event_id ) - # After executing router, the router's result is the path - router_result = ( - self._method_outputs[-1] if self._method_outputs else None - ) if router_result: # Only add non-None results - router_results.append(router_result) + router_results.append(FlowMethodName(str(router_result))) # If this was a human_feedback router, map the outcome to the feedback if self.last_human_feedback is not None: router_result_to_feedback[str(router_result)] = ( @@ -2265,7 +2410,7 @@ class Flow(Generic[T], metaclass=FlowMeta): listener_name: FlowMethodName, result: Any, triggering_event_id: str | None = None, - ) -> str | None: + ) -> tuple[Any, str | None]: """Executes a single listener method with proper event handling. This internal method manages the execution of an individual listener, @@ -2278,8 +2423,9 @@ class Flow(Generic[T], metaclass=FlowMeta): used for causal chain tracking. Returns: - The event_id of the MethodExecutionFinishedEvent emitted by this listener, - or None if events are suppressed. + A tuple of (listener_result, event_id) where listener_result is the return + value of the listener method and event_id is the MethodExecutionFinishedEvent + id, or (None, None) if skipped during resumption. Note: - Inspects method signature to determine if it accepts the trigger result @@ -2305,7 +2451,7 @@ class Flow(Generic[T], metaclass=FlowMeta): ): # This conditional start was executed, continue its chain await self._execute_start_method(start_method_name) - return None + return (None, None) # For cyclic flows, clear from completed to allow re-execution self._completed_methods.discard(listener_name) # Also clear from fired OR listeners for cyclic flows @@ -2343,46 +2489,7 @@ class Flow(Generic[T], metaclass=FlowMeta): listener_name, listener_result, finished_event_id ) - # If this listener is also a router (e.g., has @human_feedback with emit), - # we need to trigger listeners for the router result as well - if listener_name in self._routers and listener_result is not None: - router_result_trigger = FlowMethodName(str(listener_result)) - listeners_for_result = self._find_triggered_methods( - router_result_trigger, router_only=False - ) - if listeners_for_result: - # Pass the HumanFeedbackResult if available - feedback_result = ( - self.last_human_feedback - if self.last_human_feedback is not None - else listener_result - ) - racing_group = self._get_racing_group_for_listeners( - listeners_for_result - ) - if racing_group: - racing_members, _ = racing_group - other_listeners = [ - name - for name in listeners_for_result - if name not in racing_members - ] - await self._execute_racing_listeners( - racing_members, - other_listeners, - feedback_result, - finished_event_id, - ) - else: - tasks = [ - self._execute_single_listener( - name, feedback_result, finished_event_id - ) - for name in listeners_for_result - ] - await asyncio.gather(*tasks) - - return finished_event_id + return (listener_result, finished_event_id) except Exception as e: # Don't log HumanFeedbackPending as an error - it's expected control flow diff --git a/lib/crewai/src/crewai/task.py b/lib/crewai/src/crewai/task.py index d73c3d919..eac42f956 100644 --- a/lib/crewai/src/crewai/task.py +++ b/lib/crewai/src/crewai/task.py @@ -31,6 +31,7 @@ from pydantic_core import PydanticCustomError from typing_extensions import Self from crewai.agents.agent_builder.base_agent import BaseAgent +from crewai.context import reset_current_task_id, set_current_task_id from crewai.core.providers.content_processor import process_content from crewai.events.event_bus import crewai_event_bus from crewai.events.types.task_events import ( @@ -561,6 +562,7 @@ class Task(BaseModel): tools: list[Any] | None, ) -> TaskOutput: """Run the core execution logic of the task asynchronously.""" + task_id_token = set_current_task_id(str(self.id)) self._store_input_files() try: agent = agent or self.agent @@ -648,6 +650,7 @@ class Task(BaseModel): raise e # Re-raise the exception after emitting the event finally: clear_task_files(self.id) + reset_current_task_id(task_id_token) def _execute_core( self, @@ -656,6 +659,7 @@ class Task(BaseModel): tools: list[Any] | None, ) -> TaskOutput: """Run the core execution logic of the task.""" + task_id_token = set_current_task_id(str(self.id)) self._store_input_files() try: agent = agent or self.agent @@ -744,6 +748,7 @@ class Task(BaseModel): raise e # Re-raise the exception after emitting the event finally: clear_task_files(self.id) + reset_current_task_id(task_id_token) def _post_agent_execution(self, agent: BaseAgent) -> None: pass diff --git a/lib/crewai/tests/agents/test_lite_agent.py b/lib/crewai/tests/agents/test_lite_agent.py index 32a7c0ef1..6f989a27c 100644 --- a/lib/crewai/tests/agents/test_lite_agent.py +++ b/lib/crewai/tests/agents/test_lite_agent.py @@ -606,9 +606,10 @@ def test_lite_agent_with_invalid_llm(): @patch.dict("os.environ", {"CREWAI_PLATFORM_INTEGRATION_TOKEN": "test_token"}) +@patch("crewai_tools.tools.crewai_platform_tools.crewai_platform_action_tool.requests.post") @patch("crewai_tools.tools.crewai_platform_tools.crewai_platform_tool_builder.requests.get") @pytest.mark.vcr() -def test_agent_kickoff_with_platform_tools(mock_get): +def test_agent_kickoff_with_platform_tools(mock_get, mock_post): """Test that Agent.kickoff() properly integrates platform tools with LiteAgent""" mock_response = Mock() mock_response.raise_for_status.return_value = None @@ -632,6 +633,15 @@ def test_agent_kickoff_with_platform_tools(mock_get): } mock_get.return_value = mock_response + # Mock the platform tool execution + mock_post_response = Mock() + mock_post_response.ok = True + mock_post_response.json.return_value = { + "success": True, + "issue_url": "https://github.com/test/repo/issues/1" + } + mock_post.return_value = mock_post_response + agent = Agent( role="Test Agent", goal="Test goal", diff --git a/lib/crewai/tests/cassettes/agents/test_agent_kickoff_with_platform_tools.yaml b/lib/crewai/tests/cassettes/agents/test_agent_kickoff_with_platform_tools.yaml index 53b4c57e2..72c629c70 100644 --- a/lib/crewai/tests/cassettes/agents/test_agent_kickoff_with_platform_tools.yaml +++ b/lib/crewai/tests/cassettes/agents/test_agent_kickoff_with_platform_tools.yaml @@ -1,98 +1,227 @@ interactions: - 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You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.\nYour personal goal is: Gather information about the best soccer players\n\nTo give my best complete final answer to the task respond using the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players in the world?"}, {"role": "assistant", "content": "Thought: I now can give a great answer \nFinal Answer: The top 10 best soccer players in the world, as of October 2023, can be identified based on their recent performances, skills, impact on games, and overall contributions to their teams. Here is the structured list:\n\n1. **Lionel Messi (Inter Miami CF)**\n - - Position: Forward\n - Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements: Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2. **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland (Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed, goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n - Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements: - 2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6. **Neymar Jr. (Al Hilal)**\n - Position: Forward\n - Key Attributes: Flair, dribbling, creativity.\n - Achievements: Multiple domestic league titles, Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n - Key Attributes: Finishing, positioning, aerial ability.\n - Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n8. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key Attributes: Speed, finishing, dribbling.\n - Achievements: Premier League champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior (Real Madrid)**\n - Position: Forward\n - Key Attributes: Speed, dribbling, creativity.\n - Achievements: UEFA Champions League winner (2022), La Liga champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, - tactical intelligence.\n - Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis list is compiled based on their current form, past performances, and contributions to their respective teams in both domestic and international competitions. 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Here's a structured list + of the top 10 best soccer players in the world as of 2024, considering their + performance, skills, achievements, and impact in recent seasons:\\n\\n### + Top 10 Best Soccer Players in the World (2024)\\n\\n| Rank | Player Name | + Nationality | Club (2023/24 Season) | Position | Key Attributes + \ | Recent Achievements |\\n|-------|---------------------|-------------|----------------------------|------------------|---------------------------------|------------------------------------|\\n| + 1 | Lionel Messi | Argentina | Paris Saint-Germain (PSG) | + Forward/Playmaker| Dribbling, Vision, Free kicks | 2023 World Cup Golden + Ball, Club Successes |\\n| 2 | Kylian Mbapp\xE9 | France | + Paris Saint-Germain (PSG) | Forward | Speed, Finishing, Dribbling + \ | Ligue 1 Top Scorer, World Cup Winner 2018|\\n| 3 | Erling Haaland + \ | Norway | Manchester City | Striker | Strength, + Finishing, Positioning| Premier League Golden Boot, Champions League Impact|\\n| + 4 | Kevin De Bruyne | Belgium | Manchester City | + Midfielder | Passing, Vision, Creativity | Premier League Titles, + Key Playmaker|\\n| 5 | Robert Lewandowski | Poland | FC Barcelona + \ | Striker | Finishing, Positioning, Composure| La + Liga Top Scorer, Consistent Scorer|\\n| 6 | Neymar Jr. | Brazil + \ | Al-Hilal | Forward/Winger | Dribbling, Creativity, + Flair | Copa America Titles, Club Success |\\n| 7 | Mohamed Salah | + Egypt | Liverpool | Forward/Winger | Pace, Finishing, + Work Rate | Premier League Golden Boot, Champions League Winner|\\n| + 8 | Vin\xEDcius Jr. | Brazil | Real Madrid | + Winger | Speed, Dribbling, Crossing | La Liga Titles, UEFA Champions + League Winner|\\n| 9 | Luka Modri\u0107 | Croatia | Real Madrid + \ | Midfielder | Passing, Control, Experience | Ballon + d\u2019Or 2018, Multiple Champions League Titles|\\n| 10 | Karim Benzema + \ | France | Al-Ittihad | Striker | Finishing, + Link-up Play, Movements| Ballon d\u2019Or 2022, UEFA Champions League Top + Scorer |\\n\\n### Notes:\\n- The rankings reflect a combination of individual + skill, recent performance, consistency, and influence on the game.\\n- Players\u2019 + clubs are based on the 2023/24 season affiliations.\\n- Achievements highlight + recent titles, awards, or standout contributions.\\n\\nIf you would like me + to focus on specific leagues, historical players, or emerging talents, just + let me know!\",\n \"refusal\": null,\n \"annotations\": []\n + \ },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n + \ ],\n \"usage\": {\n \"prompt_tokens\": 68,\n \"completion_tokens\": + 605,\n \"total_tokens\": 673,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" headers: CF-RAY: - - 94d9b6782db84d3b-GRU + - CF-RAY-XXX Connection: - keep-alive Content-Type: - application/json Date: - - Tue, 10 Jun 2025 14:56:30 GMT + - Fri, 06 Feb 2026 18:41:49 GMT Server: - cloudflare + Strict-Transport-Security: + - STS-XXX Transfer-Encoding: - chunked X-Content-Type-Options: - - nosniff + - X-CONTENT-TYPE-XXX access-control-expose-headers: - - X-Request-ID + - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 cf-cache-status: - DYNAMIC openai-organization: - - crewai-iuxna1 + - OPENAI-ORG-XXX openai-processing-ms: - - '31484' + - '9044' + openai-project: + - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - strict-transport-security: - - max-age=31536000; includeSubDomains; preload - x-envoy-upstream-service-time: - - '31490' + x-openai-proxy-wasm: + - v0.1 x-ratelimit-limit-requests: - - '30000' + - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: - - '150000000' + - X-RATELIMIT-LIMIT-TOKENS-XXX x-ratelimit-remaining-requests: - - '29999' + - X-RATELIMIT-REMAINING-REQUESTS-XXX x-ratelimit-remaining-tokens: - - '149999166' + - X-RATELIMIT-REMAINING-TOKENS-XXX x-ratelimit-reset-requests: - - 2ms + - X-RATELIMIT-RESET-REQUESTS-XXX x-ratelimit-reset-tokens: - - 0s + - X-RATELIMIT-RESET-TOKENS-XXX x-request-id: - - req_aa737cf40bb76af9f458bfd35f7a77a1 + - X-REQUEST-ID-XXX status: code: 200 message: OK - request: - body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.\nYour personal goal is: Gather information about the best soccer players\n\nTo give my best complete final answer to the task respond using the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players in the world?"}, {"role": "assistant", "content": "Thought: I now can give a great answer \nFinal Answer: The top 10 best soccer players in the world, as of October 2023, can be identified based on their recent performances, skills, impact on games, and overall contributions to their teams. Here is the structured list:\n\n1. **Lionel Messi (Inter Miami CF)**\n - - Position: Forward\n - Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements: Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2. **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland (Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed, goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n - Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements: - 2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6. **Neymar Jr. (Al Hilal)**\n - Position: Forward\n - Key Attributes: Flair, dribbling, creativity.\n - Achievements: Multiple domestic league titles, Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n - Key Attributes: Finishing, positioning, aerial ability.\n - Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n8. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key Attributes: Speed, finishing, dribbling.\n - Achievements: Premier League champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior (Real Madrid)**\n - Position: Forward\n - Key Attributes: Speed, dribbling, creativity.\n - Achievements: UEFA Champions League winner (2022), La Liga champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, - tactical intelligence.\n - Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis list is compiled based on their current form, past performances, and contributions to their respective teams in both domestic and international competitions. Player rankings can vary based on personal opinion and specific criteria used for evaluation, but these players have consistently been regarded as some of the best in the world as of October 2023."}, {"role": "user", "content": "You are not allowed to include Brazilian players"}, {"role": "assistant", "content": "Thought: I now can give a great answer \nFinal Answer: Here is an updated list of the top 10 best soccer players in the world as of October 2023, excluding Brazilian players:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n - Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements: Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2. - **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland (Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed, goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n - Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements: 2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6. **Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n - Key Attributes: Finishing, positioning, - aerial ability.\n - Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key Attributes: Speed, finishing, dribbling.\n - Achievements: Premier League champion, FA Cup, UEFA Champions League winner.\n\n8. **Vin\u00edcius J\u00fanior (Real Madrid)**\n - Position: Forward\n - Key Attributes: Speed, dribbling, creativity.\n - Achievements: UEFA Champions League winner (2022), La Liga champion (2023).\n\n9. **Luka Modri\u0107 (Real Madrid)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, tactical intelligence.\n - Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\n10. **Harry Kane (Bayern Munich)**\n - Position: Forward\n - Key Attributes: Goal-scoring, technique, playmaking.\n - Achievements: Golden Boot winner, Premier League titles, UEFA European Championship runner-up.\n\nThis list has been adjusted to exclude Brazilian - players and focuses on those who have made significant impacts in their clubs and on the international stage as of October 2023. Each player is recognized for their exceptional skills, performances, and achievements."}, {"role": "user", "content": "You are not allowed to include Brazilian players"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}' + body: '{"messages":[{"role":"system","content":"You are Sports Analyst. You are + an expert at gathering and organizing information. 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Here is a list of the top + 10 best soccer players in the world as of 2024, considering their recent performances, + skills, impact, and accolades:\\n\\n1. **Lionel Messi** \\n - Nationality: + Argentine \\n - Position: Forward \\n - Key Achievements: 7 Ballon d'Or + awards, led Argentina to 2021 Copa Am\xE9rica victory and 2022 FIFA World + Cup triumph, exceptional dribbling and playmaking skills.\\n\\n2. **Kylian + Mbapp\xE9** \\n - Nationality: French \\n - Position: Forward \\n - + Key Achievements: FIFA World Cup winner (2018), multiple Ligue 1 titles, known + for incredible speed, finishing, and consistency.\\n\\n3. **Erling Haaland** + \ \\n - Nationality: Norwegian \\n - Position: Striker \\n - Key Achievements: + Premier League Golden Boot winner (2022-23), prolific goal scorer, physical + presence, and finishing ability.\\n\\n4. **Karim Benzema** \\n - Nationality: + French \\n - Position: Forward \\n - Key Achievements: 2022 Ballon d'Or + winner, key player for Real Madrid\u2019s recent Champions League victories, + excellent technical skills and leadership.\\n\\n5. **Kevin De Bruyne** \\n + \ - Nationality: Belgian \\n - Position: Midfielder \\n - Key Achievements: + Premier League playmaker, known for vision, passing accuracy, and creativity.\\n\\n6. + **Robert Lewandowski** \\n - Nationality: Polish \\n - Position: Striker + \ \\n - Key Achievements: Multiple Bundesliga top scorer titles, consistent + goal scorer, known for positioning and finishing.\\n\\n7. **Neymar Jr.** \\n + \ - Nationality: Brazilian \\n - Position: Forward \\n - Key Achievements: + Exceptional dribbling, creativity, and flair; multiple domestic titles and + Copa Libertadores winner.\\n\\n8. **Mohamed Salah** \\n - Nationality: + Egyptian \\n - Position: Forward \\n - Key Achievements: Premier League + Golden Boot, consistent goal scoring with Liverpool, known for speed and finishing.\\n\\n9. + **Luka Modri\u0107** \\n - Nationality: Croatian \\n - Position: Midfielder + \ \\n - Key Achievements: 2018 Ballon d\u2019Or winner, pivotal midfield + maestro, excellent passing and control.\\n\\n10. **Thibaut Courtois** \\n + \ - Nationality: Belgian \\n - Position: Goalkeeper \\n - Key Achievements: + Exceptional shot-stopper, key player in Real Madrid's recent successes.\\n\\nThis + list includes a blend of forwards, midfielders, and a goalkeeper, showcasing + the best talents in various positions worldwide. The rankings may vary slightly + depending on current form and opinions, but these players consistently rank + among the best globally.\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 68,\n \"completion_tokens\": + 575,\n \"total_tokens\": 643,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_75546bd1a7\"\n}\n" headers: CF-RAY: - - 94d9b7561f204d3b-GRU + - CF-RAY-XXX Connection: - keep-alive Content-Type: - application/json Date: - - Tue, 10 Jun 2025 14:56:46 GMT + - Fri, 06 Feb 2026 18:41:57 GMT Server: - cloudflare + Strict-Transport-Security: + - STS-XXX Transfer-Encoding: - chunked X-Content-Type-Options: - - nosniff + - X-CONTENT-TYPE-XXX access-control-expose-headers: - - X-Request-ID + - ACCESS-CONTROL-XXX alt-svc: - h3=":443"; ma=86400 cf-cache-status: - DYNAMIC openai-organization: - - crewai-iuxna1 + - OPENAI-ORG-XXX openai-processing-ms: - - '12189' + - '7948' + openai-project: + - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - strict-transport-security: - - max-age=31536000; includeSubDomains; preload - x-envoy-upstream-service-time: - - '12193' + x-openai-proxy-wasm: + - v0.1 x-ratelimit-limit-requests: - - '30000' + - X-RATELIMIT-LIMIT-REQUESTS-XXX x-ratelimit-limit-tokens: - - '150000000' + - X-RATELIMIT-LIMIT-TOKENS-XXX x-ratelimit-remaining-requests: - - '29999' + - X-RATELIMIT-REMAINING-REQUESTS-XXX x-ratelimit-remaining-tokens: - - '149998513' + - X-RATELIMIT-REMAINING-TOKENS-XXX x-ratelimit-reset-requests: - - 2ms + - X-RATELIMIT-RESET-REQUESTS-XXX x-ratelimit-reset-tokens: - - 0s + - X-RATELIMIT-RESET-TOKENS-XXX x-request-id: - - req_1098f5a5384f4a26aecf0c9e4e4d1fc0 - status: - code: 200 - message: OK -- request: - body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.\nYour personal goal is: Gather information about the best soccer players\n\nTo give my best complete final answer to the task respond using the exact following format:\n\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described.\n\nI MUST use these formats, my job depends on it!"}, {"role": "user", "content": "Top 10 best players in the world?"}, {"role": "assistant", "content": "Thought: I now can give a great answer \nFinal Answer: The top 10 best soccer players in the world, as of October 2023, can be identified based on their recent performances, skills, impact on games, and overall contributions to their teams. Here is the structured list:\n\n1. **Lionel Messi (Inter Miami CF)**\n - - Position: Forward\n - Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements: Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2. **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland (Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed, goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n - Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements: - 2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6. **Neymar Jr. (Al Hilal)**\n - Position: Forward\n - Key Attributes: Flair, dribbling, creativity.\n - Achievements: Multiple domestic league titles, Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n - Key Attributes: Finishing, positioning, aerial ability.\n - Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n8. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key Attributes: Speed, finishing, dribbling.\n - Achievements: Premier League champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior (Real Madrid)**\n - Position: Forward\n - Key Attributes: Speed, dribbling, creativity.\n - Achievements: UEFA Champions League winner (2022), La Liga champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, - tactical intelligence.\n - Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis list is compiled based on their current form, past performances, and contributions to their respective teams in both domestic and international competitions. Player rankings can vary based on personal opinion and specific criteria used for evaluation, but these players have consistently been regarded as some of the best in the world as of October 2023."}, {"role": "user", "content": "You are not allowed to include Brazilian players"}, {"role": "assistant", "content": "Thought: I now can give a great answer \nFinal Answer: Here is an updated list of the top 10 best soccer players in the world as of October 2023, excluding Brazilian players:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n - Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements: Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2. - **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland (Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed, goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n - Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements: 2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6. **Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n - Key Attributes: Finishing, positioning, - aerial ability.\n - Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key Attributes: Speed, finishing, dribbling.\n - Achievements: Premier League champion, FA Cup, UEFA Champions League winner.\n\n8. **Vin\u00edcius J\u00fanior (Real Madrid)**\n - Position: Forward\n - Key Attributes: Speed, dribbling, creativity.\n - Achievements: UEFA Champions League winner (2022), La Liga champion (2023).\n\n9. **Luka Modri\u0107 (Real Madrid)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, tactical intelligence.\n - Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\n10. **Harry Kane (Bayern Munich)**\n - Position: Forward\n - Key Attributes: Goal-scoring, technique, playmaking.\n - Achievements: Golden Boot winner, Premier League titles, UEFA European Championship runner-up.\n\nThis list has been adjusted to exclude Brazilian - players and focuses on those who have made significant impacts in their clubs and on the international stage as of October 2023. Each player is recognized for their exceptional skills, performances, and achievements."}, {"role": "user", "content": "You are not allowed to include Brazilian players"}, {"role": "assistant", "content": "Thought: I now can give a great answer \nFinal Answer: Here is the revised list of the top 10 best soccer players in the world as of October 2023, explicitly excluding Brazilian players:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n - Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements: Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2. **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup champion (2018), multiple Ligue 1 titles, and various domestic cups.\n\n3. **Erling Haaland - (Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed, goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n - Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements: 2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6. **Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n - Key Attributes: Finishing, positioning, aerial ability.\n - Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key Attributes: Speed, finishing, dribbling.\n - Achievements: - Premier League champion, FA Cup, UEFA Champions League winner.\n\n8. **Luka Modri\u0107 (Real Madrid)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, tactical intelligence.\n - Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\n9. **Harry Kane (Bayern Munich)**\n - Position: Forward\n - Key Attributes: Goal-scoring, technique, playmaking.\n - Achievements: Golden Boot winner, Premier League titles, UEFA European Championship runner-up.\n\n10. **Rodri (Manchester City)**\n - Position: Midfielder\n - Key Attributes: Defensive skills, passing, positional awareness.\n - Achievements: Premier League titles, UEFA Champions League winner (2023).\n\nThis list is curated while adhering to the restriction of excluding Brazilian players. 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Have a wonderful day!\",\n \"refusal\": - null,\n \"annotations\": []\n },\n \"logprobs\": null,\n - \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 127,\n \"completion_tokens\": 43,\n \"total_tokens\": 170,\n \"prompt_tokens_details\": + \"assistant\",\n \"content\": \"Hello! \U0001F60A How are you today?\",\n + \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": + null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 41,\n \"completion_tokens\": 8,\n \"total_tokens\": 49,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_c4585b5b9c\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -68,7 +61,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 15 Jan 2026 23:46:42 GMT + - Fri, 06 Feb 2026 18:41:58 GMT Server: - cloudflare Set-Cookie: @@ -85,18 +78,14 @@ interactions: - h3=":443"; ma=86400 cf-cache-status: - DYNAMIC - content-length: - - '990' openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '880' + - '325' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '1160' x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -118,13 +107,8 @@ interactions: message: OK - request: body: '{"messages":[{"role":"system","content":"You are Second Agent. A polite - farewell agent\nYour personal goal is: Say goodbye\nTo give my best complete - final answer to the task respond using the exact following format:\n\nThought: - I now can give a great answer\nFinal Answer: Your final answer must be the great - and the most complete as possible, it must be outcome described.\n\nI MUST use - these formats, my job depends on it!"},{"role":"user","content":"\nCurrent Task: - Say goodbye\n\nBegin! This is VERY important to you, use the tools available - and give your best Final Answer, your job depends on it!\n\nThought:"}],"model":"gpt-4o-mini"}' + farewell agent\nYour personal goal is: Say goodbye"},{"role":"user","content":"\nCurrent + Task: Say goodbye\n\nProvide your complete response:"}],"model":"gpt-4o-mini"}' headers: User-Agent: - X-USER-AGENT-XXX @@ -137,7 +121,7 @@ interactions: connection: - keep-alive content-length: - - '640' + - '239' content-type: - application/json host: @@ -159,27 +143,24 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.3 + - 3.13.5 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-CyRL1Ua2PkK5xXPp3KeF0AnGAk3JP\",\n \"object\": - \"chat.completion\",\n \"created\": 1768520803,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D6L4BLMYC3ODccwbKfBIdtrEyd3no\",\n \"object\": + \"chat.completion\",\n \"created\": 1770403319,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"I now can give a great answer \\nFinal - Answer: As we reach the end of our conversation, I want to express my gratitude - for the time we've shared. It's been a pleasure assisting you, and I hope - you found our interaction helpful and enjoyable. Remember, whenever you need - assistance, I'm just a message away. Wishing you all the best in your future - endeavors. Goodbye and take care!\",\n \"refusal\": null,\n \"annotations\": + \"assistant\",\n \"content\": \"Thank you for the time we've spent + together! I wish you all the best in your future endeavors. Take care, and + until we meet again, goodbye!\",\n \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n - \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 126,\n \"completion_tokens\": - 79,\n \"total_tokens\": 205,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 40,\n \"completion_tokens\": + 31,\n \"total_tokens\": 71,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_29330a9688\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -188,7 +169,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 15 Jan 2026 23:46:44 GMT + - Fri, 06 Feb 2026 18:41:59 GMT Server: - cloudflare Set-Cookie: @@ -205,18 +186,14 @@ interactions: - h3=":443"; ma=86400 cf-cache-status: - DYNAMIC - content-length: - - '1189' openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '1363' + - '726' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '1605' x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/agents/test_native_tool_calling_error_handling.yaml b/lib/crewai/tests/cassettes/agents/test_native_tool_calling_error_handling.yaml index f56e36c04..c61d2c034 100644 --- a/lib/crewai/tests/cassettes/agents/test_native_tool_calling_error_handling.yaml +++ b/lib/crewai/tests/cassettes/agents/test_native_tool_calling_error_handling.yaml @@ -2,9 +2,8 @@ interactions: - request: body: '{"messages":[{"role":"system","content":"You are Calculator. You calculate things.\nYour personal goal is: Perform calculations efficiently"},{"role":"user","content":"\nCurrent - Task: Use the failing_tool to do something.\n\nThis is VERY important to you, - your job depends on it!"}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"failing_tool","description":"This - tool always fails","parameters":{"properties":{},"type":"object"}}}]}' + Task: Use the failing_tool to do something."}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"failing_tool","description":"This + tool always fails","strict":true,"parameters":{"properties":{},"type":"object","additionalProperties":false,"required":[]}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -17,7 +16,7 @@ interactions: connection: - keep-alive content-length: - - '477' + - '476' content-type: - application/json host: @@ -39,26 +38,26 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.3 + - 3.13.5 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0vm2JDsOmy0czXPAr4vnw3wvuqYZ\",\n \"object\": - \"chat.completion\",\n \"created\": 1769114454,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D6L3dV6acwapgRyxmnzGfuOXemtjJ\",\n \"object\": + \"chat.completion\",\n \"created\": 1770403285,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": \"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n - \ \"id\": \"call_8xr8rPUDWzLfQ3LOWPHtBUjK\",\n \"type\": + \ \"id\": \"call_GCdaOdo32pr1sSk4RzO0tiB9\",\n \"type\": \"function\",\n \"function\": {\n \"name\": \"failing_tool\",\n \ \"arguments\": \"{}\"\n }\n }\n ],\n \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": null,\n \"finish_reason\": \"tool_calls\"\n }\n ],\n \"usage\": - {\n \"prompt_tokens\": 78,\n \"completion_tokens\": 11,\n \"total_tokens\": - 89,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": + {\n \"prompt_tokens\": 65,\n \"completion_tokens\": 11,\n \"total_tokens\": + 76,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \ \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_c4585b5b9c\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_6c0d1490cb\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -67,7 +66,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 22 Jan 2026 20:40:54 GMT + - Fri, 06 Feb 2026 18:41:25 GMT Server: - cloudflare Set-Cookie: @@ -87,13 +86,11 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '593' + - '436' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '621' x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: @@ -116,12 +113,9 @@ interactions: - request: body: '{"messages":[{"role":"system","content":"You are Calculator. You calculate things.\nYour personal goal is: Perform calculations efficiently"},{"role":"user","content":"\nCurrent - Task: Use the failing_tool to do something.\n\nThis is VERY important to you, - your job depends on it!"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_8xr8rPUDWzLfQ3LOWPHtBUjK","type":"function","function":{"name":"failing_tool","arguments":"{}"}}]},{"role":"tool","tool_call_id":"call_8xr8rPUDWzLfQ3LOWPHtBUjK","content":"Error - executing tool: This tool always fails"},{"role":"user","content":"Analyze the - tool result. If requirements are met, provide the Final Answer. Otherwise, call - the next tool. Deliver only the answer without meta-commentary."}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"failing_tool","description":"This - tool always fails","parameters":{"properties":{},"type":"object"}}}]}' + Task: Use the failing_tool to do something."},{"role":"assistant","content":null,"tool_calls":[{"id":"call_GCdaOdo32pr1sSk4RzO0tiB9","type":"function","function":{"name":"failing_tool","arguments":"{}"}}]},{"role":"tool","tool_call_id":"call_GCdaOdo32pr1sSk4RzO0tiB9","name":"failing_tool","content":"Error + executing tool: This tool always fails"}],"model":"gpt-4o-mini","tool_choice":"auto","tools":[{"type":"function","function":{"name":"failing_tool","description":"This + tool always fails","strict":true,"parameters":{"properties":{},"type":"object","additionalProperties":false,"required":[]}}}]}' headers: User-Agent: - X-USER-AGENT-XXX @@ -134,7 +128,7 @@ interactions: connection: - keep-alive content-length: - - '941' + - '778' content-type: - application/json cookie: @@ -158,22 +152,25 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.3 + - 3.13.5 method: POST uri: https://api.openai.com/v1/chat/completions response: body: - string: "{\n \"id\": \"chatcmpl-D0vm3xcywoKBW75bhBXfkGJNim6Th\",\n \"object\": - \"chat.completion\",\n \"created\": 1769114455,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + string: "{\n \"id\": \"chatcmpl-D6L3dhjDZOoihHvXvRpbJD3ReGu0z\",\n \"object\": + \"chat.completion\",\n \"created\": 1770403285,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": - \"assistant\",\n \"content\": \"Error: This tool always fails.\",\n - \ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\": - null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": - 141,\n \"completion_tokens\": 8,\n \"total_tokens\": 149,\n \"prompt_tokens_details\": - {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + \"assistant\",\n \"content\": \"The attempt to use the failing tool + resulted in an error, as expected since it is designed to always fail. If + there's anything else you would like to calculate or explore, please let me + know!\",\n \"refusal\": null,\n \"annotations\": []\n },\n + \ \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n + \ \"usage\": {\n \"prompt_tokens\": 93,\n \"completion_tokens\": 40,\n + \ \"total_tokens\": 133,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": - \"default\",\n \"system_fingerprint\": \"fp_c4585b5b9c\"\n}\n" + \"default\",\n \"system_fingerprint\": \"fp_6c0d1490cb\"\n}\n" headers: CF-RAY: - CF-RAY-XXX @@ -182,7 +179,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 22 Jan 2026 20:40:55 GMT + - Fri, 06 Feb 2026 18:41:26 GMT Server: - cloudflare Strict-Transport-Security: @@ -200,13 +197,11 @@ interactions: openai-organization: - OPENAI-ORG-XXX openai-processing-ms: - - '420' + - '776' openai-project: - OPENAI-PROJECT-XXX openai-version: - '2020-10-01' - x-envoy-upstream-service-time: - - '436' x-openai-proxy-wasm: - v0.1 x-ratelimit-limit-requests: diff --git a/lib/crewai/tests/cassettes/llms/anthropic/test_anthropic_agent_kickoff_structured_output_with_tools.yaml b/lib/crewai/tests/cassettes/llms/anthropic/test_anthropic_agent_kickoff_structured_output_with_tools.yaml index 879eea9e6..31124d09c 100644 --- a/lib/crewai/tests/cassettes/llms/anthropic/test_anthropic_agent_kickoff_structured_output_with_tools.yaml +++ b/lib/crewai/tests/cassettes/llms/anthropic/test_anthropic_agent_kickoff_structured_output_with_tools.yaml @@ -43,15 +43,15 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.3 + - 3.13.5 x-stainless-timeout: - NOT_GIVEN method: POST uri: https://api.anthropic.com/v1/messages response: body: - string: '{"model":"claude-3-5-haiku-20241022","id":"msg_0149zKBgM47utdBdrfJjM6YZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011jnBYLgtzXqdmSi7JDyQHj","name":"structured_output","input":{"operation":"Addition","result":42,"explanation":"Adding - 15 and 27 together results in 42"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":573,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":79,"service_tier":"standard"}}' + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_01A41GpDoJbZLUhR8dQzUcUX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UNPdzpayoWyqDYVE7fR5oA","name":"structured_output","input":{"operation":"Addition","result":42,"explanation":"Added + 15 and 27 together"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":573,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":75,"service_tier":"standard","inference_geo":"not_available"}}' headers: CF-RAY: - CF-RAY-XXX @@ -62,7 +62,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 18:56:15 GMT + - Fri, 06 Feb 2026 18:41:25 GMT Server: - cloudflare Transfer-Encoding: @@ -88,7 +88,7 @@ interactions: anthropic-ratelimit-requests-remaining: - '3999' anthropic-ratelimit-requests-reset: - - '2026-01-30T18:56:14Z' + - '2026-02-06T18:41:24Z' anthropic-ratelimit-tokens-limit: - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX anthropic-ratelimit-tokens-remaining: @@ -102,7 +102,7 @@ interactions: strict-transport-security: - STS-XXX x-envoy-upstream-service-time: - - '1473' + - '1247' status: code: 200 message: OK diff --git a/lib/crewai/tests/cassettes/llms/anthropic/test_anthropic_agent_kickoff_structured_output_without_tools.yaml b/lib/crewai/tests/cassettes/llms/anthropic/test_anthropic_agent_kickoff_structured_output_without_tools.yaml index 02739fef1..70478203b 100644 --- a/lib/crewai/tests/cassettes/llms/anthropic/test_anthropic_agent_kickoff_structured_output_without_tools.yaml +++ b/lib/crewai/tests/cassettes/llms/anthropic/test_anthropic_agent_kickoff_structured_output_without_tools.yaml @@ -44,21 +44,20 @@ interactions: x-stainless-runtime: - CPython x-stainless-runtime-version: - - 3.13.3 + - 3.13.5 x-stainless-timeout: - NOT_GIVEN method: POST uri: https://api.anthropic.com/v1/messages response: body: - string: '{"model":"claude-3-5-haiku-20241022","id":"msg_013iHkpmto99iyH5kDvn8uER","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Kpda2DzHBqWq9a2FS2Bdw6","name":"structured_output","input":{"topic":"Benefits + string: '{"model":"claude-3-5-haiku-20241022","id":"msg_016wrV83wm3FLYD4JoTy2Piw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V6Pzr7eGfuG4Q3mc25ZXwN","name":"structured_output","input":{"topic":"Benefits of Remote Work","summary":"Remote work offers significant advantages for both - employees and employers, transforming traditional work paradigms by providing - flexibility, increased productivity, and cost savings.","key_points":["Increased - employee flexibility and work-life balance","Reduced commuting time and associated - stress","Cost savings for companies on office infrastructure","Access to a - global talent pool","Higher employee productivity and job satisfaction","Lower - carbon footprint due to reduced travel"]}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":589,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":153,"service_tier":"standard"}}' + employees and employers, transforming traditional workplace dynamics.","key_points":["Increased + flexibility in work schedule","Reduced commute time and transportation costs","Improved + work-life balance","Higher productivity for many employees","Cost savings + for companies on office infrastructure","Expanded talent pool for hiring","Enhanced + employee job satisfaction"]}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":589,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":142,"service_tier":"standard","inference_geo":"not_available"}}' headers: CF-RAY: - CF-RAY-XXX @@ -69,7 +68,7 @@ interactions: Content-Type: - application/json Date: - - Fri, 30 Jan 2026 18:56:19 GMT + - Fri, 06 Feb 2026 18:41:28 GMT Server: - cloudflare Transfer-Encoding: @@ -95,7 +94,7 @@ interactions: anthropic-ratelimit-requests-remaining: - '3999' anthropic-ratelimit-requests-reset: - - '2026-01-30T18:56:16Z' + - '2026-02-06T18:41:26Z' anthropic-ratelimit-tokens-limit: - ANTHROPIC-RATELIMIT-TOKENS-LIMIT-XXX anthropic-ratelimit-tokens-remaining: @@ -109,7 +108,7 @@ interactions: strict-transport-security: - STS-XXX x-envoy-upstream-service-time: - - '3107' + - '2650' status: code: 200 message: OK From f6fa04528ab67230320bd581ea673d2900e1aaba Mon Sep 17 00:00:00 2001 From: Greyson LaLonde Date: Fri, 6 Feb 2026 16:29:27 -0500 Subject: [PATCH 3/3] fix: add async HITL support and chained-router tests asynchronous human-in-the-loop handling and related fixes. - Extend human_input provider with async support: AsyncExecutorContext, handle_feedback_async, async prompt helpers (_prompt_input_async, _async_readline), and async training/regular feedback loops in SyncHumanInputProvider. - Add async handler methods in CrewAgentExecutor and AgentExecutor (_ahandle_human_feedback, _ainvoke_loop) to integrate async provider flows. - Change PlusAPI.get_agent to an async httpx call and adapt caller in agent_utils to run it via asyncio.run. - Simplify listener execution in flow.Flow to correctly pass HumanFeedbackResult to listeners and unify execution path for router outcomes. - Remove deprecated types/hitl.py definitions. - Add tests covering chained router feedback, rejected paths, and mixed router/non-router listeners to prevent regressions. --- .../src/crewai/agents/crew_agent_executor.py | 16 +- lib/crewai/src/crewai/cli/plus_api.py | 16 +- .../src/crewai/core/providers/human_input.py | 191 +++++++++++++++++- .../src/crewai/experimental/agent_executor.py | 32 ++- lib/crewai/src/crewai/flow/flow.py | 40 +--- lib/crewai/src/crewai/types/hitl.py | 37 ---- .../src/crewai/utilities/agent_utils.py | 2 +- lib/crewai/tests/cli/test_plus_api.py | 81 +++++--- .../tests/test_human_feedback_integration.py | 170 ++++++++++++++++ 9 files changed, 473 insertions(+), 112 deletions(-) delete mode 100644 lib/crewai/src/crewai/types/hitl.py diff --git a/lib/crewai/src/crewai/agents/crew_agent_executor.py b/lib/crewai/src/crewai/agents/crew_agent_executor.py index 647596f2a..c7adcbe09 100644 --- a/lib/crewai/src/crewai/agents/crew_agent_executor.py +++ b/lib/crewai/src/crewai/agents/crew_agent_executor.py @@ -1009,7 +1009,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin): raise if self.ask_for_human_input: - formatted_answer = self._handle_human_feedback(formatted_answer) + formatted_answer = await self._ahandle_human_feedback(formatted_answer) self._create_short_term_memory(formatted_answer) self._create_long_term_memory(formatted_answer) @@ -1508,6 +1508,20 @@ class CrewAgentExecutor(CrewAgentExecutorMixin): provider = get_provider() return provider.handle_feedback(formatted_answer, self) + async def _ahandle_human_feedback( + self, formatted_answer: AgentFinish + ) -> AgentFinish: + """Process human feedback asynchronously via the configured provider. + + Args: + formatted_answer: Initial agent result. + + Returns: + Final answer after feedback. + """ + provider = get_provider() + return await provider.handle_feedback_async(formatted_answer, self) + def _is_training_mode(self) -> bool: """Check if training mode is active. diff --git a/lib/crewai/src/crewai/cli/plus_api.py b/lib/crewai/src/crewai/cli/plus_api.py index 62f34095b..e07d44d10 100644 --- a/lib/crewai/src/crewai/cli/plus_api.py +++ b/lib/crewai/src/crewai/cli/plus_api.py @@ -1,6 +1,8 @@ +import os from typing import Any from urllib.parse import urljoin -import os + +import httpx import requests from crewai.cli.config import Settings @@ -33,7 +35,11 @@ class PlusAPI: if settings.org_uuid: self.headers["X-Crewai-Organization-Id"] = settings.org_uuid - self.base_url = os.getenv("CREWAI_PLUS_URL") or str(settings.enterprise_base_url) or DEFAULT_CREWAI_ENTERPRISE_URL + self.base_url = ( + os.getenv("CREWAI_PLUS_URL") + or str(settings.enterprise_base_url) + or DEFAULT_CREWAI_ENTERPRISE_URL + ) def _make_request( self, method: str, endpoint: str, **kwargs: Any @@ -49,8 +55,10 @@ class PlusAPI: def get_tool(self, handle: str) -> requests.Response: return self._make_request("GET", f"{self.TOOLS_RESOURCE}/{handle}") - def get_agent(self, handle: str) -> requests.Response: - return self._make_request("GET", f"{self.AGENTS_RESOURCE}/{handle}") + async def get_agent(self, handle: str) -> httpx.Response: + url = urljoin(self.base_url, f"{self.AGENTS_RESOURCE}/{handle}") + async with httpx.AsyncClient() as client: + return await client.get(url, headers=self.headers) def publish_tool( self, diff --git a/lib/crewai/src/crewai/core/providers/human_input.py b/lib/crewai/src/crewai/core/providers/human_input.py index 4062e6bb9..ecbc09a41 100644 --- a/lib/crewai/src/crewai/core/providers/human_input.py +++ b/lib/crewai/src/crewai/core/providers/human_input.py @@ -2,7 +2,9 @@ from __future__ import annotations +import asyncio from contextvars import ContextVar, Token +import sys from typing import TYPE_CHECKING, Protocol, runtime_checkable @@ -46,13 +48,21 @@ class ExecutorContext(Protocol): ... +class AsyncExecutorContext(ExecutorContext, Protocol): + """Extended context for executors that support async invocation.""" + + async def _ainvoke_loop(self) -> AgentFinish: + """Invoke the agent loop asynchronously and return the result.""" + ... + + @runtime_checkable class HumanInputProvider(Protocol): """Protocol for human input handling. Implementations handle the full feedback flow: - Sync: prompt user, loop until satisfied - - Async: raise exception for external handling + - Async: use non-blocking I/O and async invoke loop """ def setup_messages(self, context: ExecutorContext) -> bool: @@ -86,7 +96,7 @@ class HumanInputProvider(Protocol): formatted_answer: AgentFinish, context: ExecutorContext, ) -> AgentFinish: - """Handle the full human feedback flow. + """Handle the full human feedback flow synchronously. Args: formatted_answer: The agent's current answer. @@ -100,6 +110,25 @@ class HumanInputProvider(Protocol): """ ... + async def handle_feedback_async( + self, + formatted_answer: AgentFinish, + context: AsyncExecutorContext, + ) -> AgentFinish: + """Handle the full human feedback flow asynchronously. + + Uses non-blocking I/O for user prompts and async invoke loop + for agent re-execution. + + Args: + formatted_answer: The agent's current answer. + context: Async executor context for callbacks. + + Returns: + The final answer after feedback processing. + """ + ... + @staticmethod def _get_output_string(answer: AgentFinish) -> str: """Extract output string from answer. @@ -116,7 +145,7 @@ class HumanInputProvider(Protocol): class SyncHumanInputProvider(HumanInputProvider): - """Default synchronous human input via terminal.""" + """Default human input provider with sync and async support.""" def setup_messages(self, context: ExecutorContext) -> bool: """Use standard message setup. @@ -157,6 +186,33 @@ class SyncHumanInputProvider(HumanInputProvider): return self._handle_regular_feedback(formatted_answer, feedback, context) + async def handle_feedback_async( + self, + formatted_answer: AgentFinish, + context: AsyncExecutorContext, + ) -> AgentFinish: + """Handle feedback asynchronously without blocking the event loop. + + Args: + formatted_answer: The agent's current answer. + context: Async executor context for callbacks. + + Returns: + The final answer after feedback processing. + """ + feedback = await self._prompt_input_async(context.crew) + + if context._is_training_mode(): + return await self._handle_training_feedback_async( + formatted_answer, feedback, context + ) + + return await self._handle_regular_feedback_async( + formatted_answer, feedback, context + ) + + # ── Sync helpers ────────────────────────────────────────────────── + @staticmethod def _handle_training_feedback( initial_answer: AgentFinish, @@ -209,6 +265,62 @@ class SyncHumanInputProvider(HumanInputProvider): return answer + # ── Async helpers ───────────────────────────────────────────────── + + @staticmethod + async def _handle_training_feedback_async( + initial_answer: AgentFinish, + feedback: str, + context: AsyncExecutorContext, + ) -> AgentFinish: + """Process training feedback asynchronously (single iteration). + + Args: + initial_answer: The agent's initial answer. + feedback: Human feedback string. + context: Async executor context for callbacks. + + Returns: + Improved answer after processing feedback. + """ + context._handle_crew_training_output(initial_answer, feedback) + context.messages.append(context._format_feedback_message(feedback)) + improved_answer = await context._ainvoke_loop() + context._handle_crew_training_output(improved_answer) + context.ask_for_human_input = False + return improved_answer + + async def _handle_regular_feedback_async( + self, + current_answer: AgentFinish, + initial_feedback: str, + context: AsyncExecutorContext, + ) -> AgentFinish: + """Process regular feedback with async iteration loop. + + Args: + current_answer: The agent's current answer. + initial_feedback: Initial human feedback string. + context: Async executor context for callbacks. + + Returns: + Final answer after all feedback iterations. + """ + feedback = initial_feedback + answer = current_answer + + while context.ask_for_human_input: + if feedback.strip() == "": + context.ask_for_human_input = False + else: + context.messages.append(context._format_feedback_message(feedback)) + answer = await context._ainvoke_loop() + feedback = await self._prompt_input_async(context.crew) + + return answer + + # ── I/O ─────────────────────────────────────────────────────────── + @staticmethod def _prompt_input(crew: Crew | None) -> str: """Show rich panel and prompt for input. @@ -262,6 +374,79 @@ class SyncHumanInputProvider(HumanInputProvider): finally: formatter.resume_live_updates() + @staticmethod + async def _prompt_input_async(crew: Crew | None) -> str: + """Show rich panel and prompt for input without blocking the event loop. + + Args: + crew: The crew instance for context. + + Returns: + User input string from terminal. + """ + from rich.panel import Panel + from rich.text import Text + + from crewai.events.event_listener import event_listener + + formatter = event_listener.formatter + formatter.pause_live_updates() + + try: + if crew and getattr(crew, "_train", False): + prompt_text = ( + "TRAINING MODE: Provide feedback to improve the agent's performance.\n\n" + "This will be used to train better versions of the agent.\n" + "Please provide detailed feedback about the result quality and reasoning process." + ) + title = "🎓 Training Feedback Required" + else: + prompt_text = ( + "Provide feedback on the Final Result above.\n\n" + "• If you are happy with the result, simply hit Enter without typing anything.\n" + "• Otherwise, provide specific improvement requests.\n" + "• You can provide multiple rounds of feedback until satisfied." + ) + title = "💬 Human Feedback Required" + + content = Text() + content.append(prompt_text, style="yellow") + + prompt_panel = Panel( + content, + title=title, + border_style="yellow", + padding=(1, 2), + ) + formatter.console.print(prompt_panel) + + response = await _async_readline() + if response.strip() != "": + formatter.console.print("\n[cyan]Processing your feedback...[/cyan]") + return response + finally: + formatter.resume_live_updates() + + +async def _async_readline() -> str: + """Read a line from stdin using the event loop's native I/O. + + Falls back to asyncio.to_thread on platforms where piping stdin + is unsupported. + + Returns: + The line read from stdin, with trailing newline stripped. + """ + loop = asyncio.get_running_loop() + try: + reader = asyncio.StreamReader() + protocol = asyncio.StreamReaderProtocol(reader) + await loop.connect_read_pipe(lambda: protocol, sys.stdin) + raw = await reader.readline() + return raw.decode().rstrip("\n") + except (OSError, NotImplementedError, ValueError): + return await asyncio.to_thread(input) + _provider: ContextVar[HumanInputProvider | None] = ContextVar( "human_input_provider", diff --git a/lib/crewai/src/crewai/experimental/agent_executor.py b/lib/crewai/src/crewai/experimental/agent_executor.py index 037df6793..9f2fecb25 100644 --- a/lib/crewai/src/crewai/experimental/agent_executor.py +++ b/lib/crewai/src/crewai/experimental/agent_executor.py @@ -258,6 +258,22 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): raise RuntimeError("Agent loop did not produce a final answer") return answer + async def _ainvoke_loop(self) -> AgentFinish: + """Invoke the agent loop asynchronously and return the result. + + Required by AsyncExecutorContext protocol. + """ + self._state.iterations = 0 + self._state.is_finished = False + self._state.current_answer = None + + await self.akickoff() + + answer = self._state.current_answer + if not isinstance(answer, AgentFinish): + raise RuntimeError("Agent loop did not produce a final answer") + return answer + def _format_feedback_message(self, feedback: str) -> LLMMessage: """Format feedback as a message for the LLM. @@ -1173,7 +1189,7 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): ) if self.state.ask_for_human_input: - formatted_answer = self._handle_human_feedback(formatted_answer) + formatted_answer = await self._ahandle_human_feedback(formatted_answer) self._create_short_term_memory(formatted_answer) self._create_long_term_memory(formatted_answer) @@ -1390,6 +1406,20 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin): provider = get_provider() return provider.handle_feedback(formatted_answer, self) + async def _ahandle_human_feedback( + self, formatted_answer: AgentFinish + ) -> AgentFinish: + """Process human feedback asynchronously and refine answer. + + Args: + formatted_answer: Initial agent result. + + Returns: + Final answer after feedback. + """ + provider = get_provider() + return await provider.handle_feedback_async(formatted_answer, self) + def _is_training_mode(self) -> bool: """Check if training mode is active. diff --git a/lib/crewai/src/crewai/flow/flow.py b/lib/crewai/src/crewai/flow/flow.py index 5a6ac4557..f9f6843aa 100644 --- a/lib/crewai/src/crewai/flow/flow.py +++ b/lib/crewai/src/crewai/flow/flow.py @@ -1934,40 +1934,14 @@ class Flow(Generic[T], metaclass=FlowMeta): await self._execute_listeners(start_method_name, result, finished_event_id) # Then execute listeners for the router result (e.g., "approved") router_result_trigger = FlowMethodName(str(result)) - listeners_for_result = self._find_triggered_methods( - router_result_trigger, router_only=False + listener_result = ( + self.last_human_feedback + if self.last_human_feedback is not None + else result + ) + await self._execute_listeners( + router_result_trigger, listener_result, finished_event_id ) - if listeners_for_result: - # Pass the HumanFeedbackResult if available - listener_result = ( - self.last_human_feedback - if self.last_human_feedback is not None - else result - ) - racing_group = self._get_racing_group_for_listeners( - listeners_for_result - ) - if racing_group: - racing_members, _ = racing_group - other_listeners = [ - name - for name in listeners_for_result - if name not in racing_members - ] - await self._execute_racing_listeners( - racing_members, - other_listeners, - listener_result, - finished_event_id, - ) - else: - tasks = [ - self._execute_single_listener( - listener_name, listener_result, finished_event_id - ) - for listener_name in listeners_for_result - ] - await asyncio.gather(*tasks) else: await self._execute_listeners(start_method_name, result, finished_event_id) diff --git a/lib/crewai/src/crewai/types/hitl.py b/lib/crewai/src/crewai/types/hitl.py deleted file mode 100644 index d5fd33e14..000000000 --- a/lib/crewai/src/crewai/types/hitl.py +++ /dev/null @@ -1,37 +0,0 @@ -"""Human-in-the-loop (HITL) type definitions. - -This module provides type definitions for human-in-the-loop interactions -in crew executions. -""" - -from typing import TypedDict - - -class HITLResumeInfo(TypedDict, total=False): - """HITL resume information passed from flow to crew. - - Attributes: - task_id: Unique identifier for the task. - crew_execution_id: Unique identifier for the crew execution. - task_key: Key identifying the specific task. - task_output: Output from the task before human intervention. - human_feedback: Feedback provided by the human. - previous_messages: History of messages in the conversation. - """ - - task_id: str - crew_execution_id: str - task_key: str - task_output: str - human_feedback: str - previous_messages: list[dict[str, str]] - - -class CrewInputsWithHITL(TypedDict, total=False): - """Crew inputs that may contain HITL resume information. - - Attributes: - _hitl_resume: Optional HITL resume information for continuing execution. - """ - - _hitl_resume: HITLResumeInfo diff --git a/lib/crewai/src/crewai/utilities/agent_utils.py b/lib/crewai/src/crewai/utilities/agent_utils.py index ee76dc53f..4ded93505 100644 --- a/lib/crewai/src/crewai/utilities/agent_utils.py +++ b/lib/crewai/src/crewai/utilities/agent_utils.py @@ -832,7 +832,7 @@ def load_agent_from_repository(from_repository: str) -> dict[str, Any]: client = PlusAPI(api_key=get_auth_token()) _print_current_organization() - response = client.get_agent(from_repository) + response = asyncio.run(client.get_agent(from_repository)) if response.status_code == 404: raise AgentRepositoryError( f"Agent {from_repository} does not exist, make sure the name is correct or the agent is available on your organization." diff --git a/lib/crewai/tests/cli/test_plus_api.py b/lib/crewai/tests/cli/test_plus_api.py index 0a8946c2b..70eff917e 100644 --- a/lib/crewai/tests/cli/test_plus_api.py +++ b/lib/crewai/tests/cli/test_plus_api.py @@ -1,6 +1,8 @@ import os import unittest -from unittest.mock import ANY, MagicMock, patch +from unittest.mock import ANY, AsyncMock, MagicMock, patch + +import pytest from crewai.cli.plus_api import PlusAPI @@ -68,37 +70,6 @@ class TestPlusAPI(unittest.TestCase): ) self.assertEqual(response, mock_response) - @patch("crewai.cli.plus_api.PlusAPI._make_request") - def test_get_agent(self, mock_make_request): - mock_response = MagicMock() - mock_make_request.return_value = mock_response - - response = self.api.get_agent("test_agent_handle") - mock_make_request.assert_called_once_with( - "GET", "/crewai_plus/api/v1/agents/test_agent_handle" - ) - self.assertEqual(response, mock_response) - - @patch("crewai.cli.plus_api.Settings") - @patch("requests.Session.request") - def test_get_agent_with_org_uuid(self, mock_make_request, mock_settings_class): - mock_settings = MagicMock() - mock_settings.org_uuid = self.org_uuid - mock_settings.enterprise_base_url = os.getenv('CREWAI_PLUS_URL') - mock_settings_class.return_value = mock_settings - # re-initialize Client - self.api = PlusAPI(self.api_key) - - mock_response = MagicMock() - mock_make_request.return_value = mock_response - - response = self.api.get_agent("test_agent_handle") - - self.assert_request_with_org_id( - mock_make_request, "GET", "/crewai_plus/api/v1/agents/test_agent_handle" - ) - self.assertEqual(response, mock_response) - @patch("crewai.cli.plus_api.PlusAPI._make_request") def test_get_tool(self, mock_make_request): mock_response = MagicMock() @@ -338,3 +309,49 @@ class TestPlusAPI(unittest.TestCase): custom_api.base_url, "https://custom-url-from-env.com", ) + + +@pytest.mark.asyncio +@patch("httpx.AsyncClient") +async def test_get_agent(mock_async_client_class): + api = PlusAPI("test_api_key") + mock_response = MagicMock() + mock_client_instance = AsyncMock() + mock_client_instance.get.return_value = mock_response + mock_async_client_class.return_value.__aenter__.return_value = mock_client_instance + + response = await api.get_agent("test_agent_handle") + + mock_client_instance.get.assert_called_once_with( + f"{api.base_url}/crewai_plus/api/v1/agents/test_agent_handle", + headers=api.headers, + ) + assert response == mock_response + + +@pytest.mark.asyncio +@patch("httpx.AsyncClient") +@patch("crewai.cli.plus_api.Settings") +async def test_get_agent_with_org_uuid(mock_settings_class, mock_async_client_class): + org_uuid = "test-org-uuid" + mock_settings = MagicMock() + mock_settings.org_uuid = org_uuid + mock_settings.enterprise_base_url = os.getenv("CREWAI_PLUS_URL") + mock_settings_class.return_value = mock_settings + + api = PlusAPI("test_api_key") + + mock_response = MagicMock() + mock_client_instance = AsyncMock() + mock_client_instance.get.return_value = mock_response + mock_async_client_class.return_value.__aenter__.return_value = mock_client_instance + + response = await api.get_agent("test_agent_handle") + + mock_client_instance.get.assert_called_once_with( + f"{api.base_url}/crewai_plus/api/v1/agents/test_agent_handle", + headers=api.headers, + ) + assert "X-Crewai-Organization-Id" in api.headers + assert api.headers["X-Crewai-Organization-Id"] == org_uuid + assert response == mock_response diff --git a/lib/crewai/tests/test_human_feedback_integration.py b/lib/crewai/tests/test_human_feedback_integration.py index dd21724b4..d2d6a6f31 100644 --- a/lib/crewai/tests/test_human_feedback_integration.py +++ b/lib/crewai/tests/test_human_feedback_integration.py @@ -157,6 +157,176 @@ class TestMultiStepFlows: assert execution_order == ["generate", "review", "finalize"] + def test_chained_router_feedback_steps(self): + """Test that a router outcome can trigger another router method. + + Regression test: @listen("outcome") combined with @human_feedback(emit=...) + creates a method that is both a listener and a router. The flow must find + and execute it when the upstream router emits the matching outcome. + """ + execution_order: list[str] = [] + + class ChainedRouterFlow(Flow): + @start() + @human_feedback( + message="First review:", + emit=["approved", "rejected"], + llm="gpt-4o-mini", + ) + def draft(self): + execution_order.append("draft") + return "draft content" + + @listen("approved") + @human_feedback( + message="Final review:", + emit=["publish", "revise"], + llm="gpt-4o-mini", + ) + def final_review(self, prev: HumanFeedbackResult): + execution_order.append("final_review") + return "final content" + + @listen("rejected") + def on_rejected(self, prev: HumanFeedbackResult): + execution_order.append("on_rejected") + return "rejected" + + @listen("publish") + def on_publish(self, prev: HumanFeedbackResult): + execution_order.append("on_publish") + return "published" + + @listen("revise") + def on_revise(self, prev: HumanFeedbackResult): + execution_order.append("on_revise") + return "revised" + + flow = ChainedRouterFlow() + + with ( + patch.object( + flow, + "_request_human_feedback", + side_effect=["looks good", "ship it"], + ), + patch.object( + flow, + "_collapse_to_outcome", + side_effect=["approved", "publish"], + ), + ): + result = flow.kickoff() + + assert execution_order == ["draft", "final_review", "on_publish"] + assert result == "published" + assert len(flow.human_feedback_history) == 2 + assert flow.human_feedback_history[0].outcome == "approved" + assert flow.human_feedback_history[1].outcome == "publish" + + def test_chained_router_rejected_path(self): + """Test that a start-router outcome routes to a non-router listener.""" + execution_order: list[str] = [] + + class ChainedRouterFlow(Flow): + @start() + @human_feedback( + message="Review:", + emit=["approved", "rejected"], + llm="gpt-4o-mini", + ) + def draft(self): + execution_order.append("draft") + return "draft" + + @listen("approved") + @human_feedback( + message="Final:", + emit=["publish", "revise"], + llm="gpt-4o-mini", + ) + def final_review(self, prev: HumanFeedbackResult): + execution_order.append("final_review") + return "final" + + @listen("rejected") + def on_rejected(self, prev: HumanFeedbackResult): + execution_order.append("on_rejected") + return "rejected" + + flow = ChainedRouterFlow() + + with ( + patch.object( + flow, "_request_human_feedback", return_value="bad" + ), + patch.object( + flow, "_collapse_to_outcome", return_value="rejected" + ), + ): + result = flow.kickoff() + + assert execution_order == ["draft", "on_rejected"] + assert result == "rejected" + assert len(flow.human_feedback_history) == 1 + assert flow.human_feedback_history[0].outcome == "rejected" + + def test_router_and_non_router_listeners_for_same_outcome(self): + """Test that both router and non-router listeners fire for the same outcome.""" + execution_order: list[str] = [] + + class MixedListenerFlow(Flow): + @start() + @human_feedback( + message="Review:", + emit=["approved", "rejected"], + llm="gpt-4o-mini", + ) + def draft(self): + execution_order.append("draft") + return "draft" + + @listen("approved") + @human_feedback( + message="Final:", + emit=["publish", "revise"], + llm="gpt-4o-mini", + ) + def router_listener(self, prev: HumanFeedbackResult): + execution_order.append("router_listener") + return "final" + + @listen("approved") + def plain_listener(self, prev: HumanFeedbackResult): + execution_order.append("plain_listener") + return "logged" + + @listen("publish") + def on_publish(self, prev: HumanFeedbackResult): + execution_order.append("on_publish") + return "published" + + flow = MixedListenerFlow() + + with ( + patch.object( + flow, + "_request_human_feedback", + side_effect=["approve it", "publish it"], + ), + patch.object( + flow, + "_collapse_to_outcome", + side_effect=["approved", "publish"], + ), + ): + flow.kickoff() + + assert "draft" in execution_order + assert "router_listener" in execution_order + assert "plain_listener" in execution_order + assert "on_publish" in execution_order + class TestStateManagement: """Tests for state management with human feedback."""