mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-27 17:18:13 +00:00
Merge branch 'main' into ruff08
This commit is contained in:
@@ -32,7 +32,6 @@ A crew in crewAI represents a collaborative group of agents working together to
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| **Share Crew** _(optional)_ | `share_crew` | Whether you want to share the complete crew information and execution with the crewAI team to make the library better, and allow us to train models. |
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| **Output Log File** _(optional)_ | `output_log_file` | Whether you want to have a file with the complete crew output and execution. You can set it using True and it will default to the folder you are currently in and it will be called logs.txt or passing a string with the full path and name of the file. |
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| **Manager Agent** _(optional)_ | `manager_agent` | `manager` sets a custom agent that will be used as a manager. |
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| **Manager Callbacks** _(optional)_ | `manager_callbacks` | `manager_callbacks` takes a list of callback handlers to be executed by the manager agent when a hierarchical process is used. |
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| **Prompt File** _(optional)_ | `prompt_file` | Path to the prompt JSON file to be used for the crew. |
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| **Planning** *(optional)* | `planning` | Adds planning ability to the Crew. When activated before each Crew iteration, all Crew data is sent to an AgentPlanner that will plan the tasks and this plan will be added to each task description. |
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| **Planning LLM** *(optional)* | `planning_llm` | The language model used by the AgentPlanner in a planning process. |
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@@ -29,6 +29,7 @@ dependencies = [
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"chromadb>=0.5.18",
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"pdfplumber>=0.11.4",
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"openpyxl>=3.1.5",
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"blinker>=1.9.0",
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]
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[project.urls]
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@@ -144,7 +144,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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formatted_answer
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)
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if self.step_callback:
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self.step_callback(tool_result)
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self.step_callback(tool_result)
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formatted_answer.text += f"\nObservation: {tool_result.result}"
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formatted_answer.result = tool_result.result
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@@ -413,7 +413,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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"""
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while self.ask_for_human_input:
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human_feedback = self._ask_human_input(formatted_answer.output)
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print("Human feedback: ", human_feedback)
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if self.crew and self.crew._train:
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self._handle_crew_training_output(formatted_answer, human_feedback)
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@@ -14,8 +14,15 @@ from typing import (
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cast,
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)
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from blinker import Signal
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from pydantic import BaseModel, ValidationError
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from crewai.flow.flow_events import (
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FlowFinishedEvent,
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FlowStartedEvent,
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MethodExecutionFinishedEvent,
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MethodExecutionStartedEvent,
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)
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from crewai.flow.flow_visualizer import plot_flow
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from crewai.flow.utils import get_possible_return_constants
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from crewai.telemetry import Telemetry
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@@ -159,6 +166,7 @@ class Flow(Generic[T], metaclass=FlowMeta):
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_routers: Dict[str, str] = {}
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_router_paths: Dict[str, List[str]] = {}
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initial_state: Union[Type[T], T, None] = None
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event_emitter = Signal("event_emitter")
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def __class_getitem__(cls: Type["Flow"], item: Type[T]) -> Type["Flow"]:
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class _FlowGeneric(cls): # type: ignore
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@@ -253,6 +261,14 @@ class Flow(Generic[T], metaclass=FlowMeta):
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Returns:
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The final output from the flow execution.
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"""
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self.event_emitter.send(
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self,
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event=FlowStartedEvent(
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type="flow_started",
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flow_name=self.__class__.__name__,
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),
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)
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if inputs is not None:
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self._initialize_state(inputs)
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return asyncio.run(self.kickoff_async())
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@@ -267,8 +283,6 @@ class Flow(Generic[T], metaclass=FlowMeta):
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Returns:
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The final output from the flow execution.
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"""
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if inputs is not None:
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self._initialize_state(inputs)
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if not self._start_methods:
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raise ValueError("No start method defined")
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@@ -285,11 +299,19 @@ class Flow(Generic[T], metaclass=FlowMeta):
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# Run all start methods concurrently
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await asyncio.gather(*tasks)
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# Return the final output (from the last executed method)
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if self._method_outputs:
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return self._method_outputs[-1]
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else:
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return None # Or raise an exception if no methods were executed
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# Determine the final output (from the last executed method)
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final_output = self._method_outputs[-1] if self._method_outputs else None
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self.event_emitter.send(
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self,
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event=FlowFinishedEvent(
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type="flow_finished",
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flow_name=self.__class__.__name__,
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result=final_output,
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),
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)
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return final_output
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async def _execute_start_method(self, start_method_name: str) -> None:
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result = await self._execute_method(
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@@ -352,6 +374,16 @@ class Flow(Generic[T], metaclass=FlowMeta):
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async def _execute_single_listener(self, listener_name: str, result: Any) -> None:
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try:
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method = self._methods[listener_name]
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self.event_emitter.send(
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self,
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event=MethodExecutionStartedEvent(
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type="method_execution_started",
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method_name=listener_name,
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flow_name=self.__class__.__name__,
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),
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)
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sig = inspect.signature(method)
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params = list(sig.parameters.values())
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@@ -367,6 +399,15 @@ class Flow(Generic[T], metaclass=FlowMeta):
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# If listener does not expect parameters, call without arguments
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listener_result = await self._execute_method(listener_name, method)
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self.event_emitter.send(
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self,
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event=MethodExecutionFinishedEvent(
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type="method_execution_finished",
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method_name=listener_name,
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flow_name=self.__class__.__name__,
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),
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)
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# Execute listeners of this listener
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await self._execute_listeners(listener_name, listener_result)
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except Exception as e:
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33
src/crewai/flow/flow_events.py
Normal file
33
src/crewai/flow/flow_events.py
Normal file
@@ -0,0 +1,33 @@
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from dataclasses import dataclass, field
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from datetime import datetime
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from typing import Any, Optional
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@dataclass
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class Event:
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type: str
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flow_name: str
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timestamp: datetime = field(init=False)
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def __post_init__(self):
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self.timestamp = datetime.now()
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@dataclass
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class FlowStartedEvent(Event):
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pass
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@dataclass
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class MethodExecutionStartedEvent(Event):
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method_name: str
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@dataclass
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class MethodExecutionFinishedEvent(Event):
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method_name: str
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@dataclass
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class FlowFinishedEvent(Event):
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result: Optional[Any] = None
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11
uv.lock
generated
11
uv.lock
generated
@@ -272,6 +272,15 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/b1/fe/e8c672695b37eecc5cbf43e1d0638d88d66ba3a44c4d321c796f4e59167f/beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed", size = 147925 },
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]
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[[package]]
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name = "blinker"
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version = "1.9.0"
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source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/21/28/9b3f50ce0e048515135495f198351908d99540d69bfdc8c1d15b73dc55ce/blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf", size = 22460 }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/10/cb/f2ad4230dc2eb1a74edf38f1a38b9b52277f75bef262d8908e60d957e13c/blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc", size = 8458 },
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]
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[[package]]
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name = "build"
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version = "1.2.2.post1"
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@@ -568,6 +577,7 @@ source = { editable = "." }
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dependencies = [
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{ name = "appdirs" },
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{ name = "auth0-python" },
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{ name = "blinker" },
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{ name = "chromadb" },
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{ name = "click" },
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{ name = "instructor" },
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@@ -637,6 +647,7 @@ requires-dist = [
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{ name = "agentops", marker = "extra == 'agentops'", specifier = ">=0.3.0" },
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{ name = "appdirs", specifier = ">=1.4.4" },
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{ name = "auth0-python", specifier = ">=4.7.1" },
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{ name = "blinker", specifier = ">=1.9.0" },
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{ name = "chromadb", specifier = ">=0.5.18" },
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{ name = "click", specifier = ">=8.1.7" },
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{ name = "crewai-tools", marker = "extra == 'tools'", specifier = ">=0.14.0" },
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