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26 changed files with 312 additions and 239 deletions

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@@ -12,9 +12,6 @@ jobs:
tests:
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
matrix:
python-version: ['3.10', '3.11', '3.12']
steps:
- name: Checkout code
uses: actions/checkout@v4
@@ -24,8 +21,9 @@ jobs:
with:
enable-cache: true
- name: Set up Python ${{ matrix.python-version }}
run: uv python install ${{ matrix.python-version }}
- name: Set up Python
run: uv python install 3.12.8
- name: Install the project
run: uv sync --dev --all-extras

View File

@@ -76,7 +76,9 @@
"concepts/testing",
"concepts/cli",
"concepts/tools",
"concepts/event-listener"
"concepts/event-listener",
"concepts/langchain-tools",
"concepts/llamaindex-tools"
]
},
{
@@ -95,9 +97,7 @@
"how-to/kickoff-async",
"how-to/kickoff-for-each",
"how-to/replay-tasks-from-latest-crew-kickoff",
"how-to/conditional-tasks",
"how-to/langchain-tools",
"how-to/llamaindex-tools"
"how-to/conditional-tasks"
]
},
{
@@ -196,11 +196,6 @@
"anchor": "Community",
"href": "https://community.crewai.com",
"icon": "discourse"
},
{
"anchor": "Tutorials",
"href": "https://www.youtube.com/@crewAIInc",
"icon": "youtube"
}
]
}

View File

@@ -263,7 +263,6 @@ Let's create our flow in the `main.py` file:
```python
#!/usr/bin/env python
import json
import os
from typing import List, Dict
from pydantic import BaseModel, Field
from crewai import LLM
@@ -342,9 +341,6 @@ class GuideCreatorFlow(Flow[GuideCreatorState]):
outline_dict = json.loads(response)
self.state.guide_outline = GuideOutline(**outline_dict)
# Ensure output directory exists before saving
os.makedirs("output", exist_ok=True)
# Save the outline to a file
with open("output/guide_outline.json", "w") as f:
json.dump(outline_dict, f, indent=2)

View File

@@ -4,21 +4,6 @@ description: Get started with CrewAI - Install, configure, and build your first
icon: wrench
---
## Video Tutorial
Watch this video tutorial for a step-by-step demonstration of the installation process:
<iframe
width="100%"
height="400"
src="https://www.youtube.com/embed/-kSOTtYzgEw"
title="CrewAI Installation Guide"
frameborder="0"
style={{ borderRadius: '10px' }}
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
allowfullscreen
></iframe>
## Text Tutorial
<Note>
**Python Version Requirements**

View File

@@ -25,7 +25,7 @@ uv add weaviate-client
To effectively use the `WeaviateVectorSearchTool`, follow these steps:
1. **Package Installation**: Confirm that the `crewai[tools]` and `weaviate-client` packages are installed in your Python environment.
2. **Weaviate Setup**: Set up a Weaviate cluster. You can follow the [Weaviate documentation](https://weaviate.io/developers/wcs/manage-clusters/connect) for instructions.
2. **Weaviate Setup**: Set up a Weaviate cluster. You can follow the [Weaviate documentation](https://weaviate.io/developers/wcs/connect) for instructions.
3. **API Keys**: Obtain your Weaviate cluster URL and API key.
4. **OpenAI API Key**: Ensure you have an OpenAI API key set in your environment variables as `OPENAI_API_KEY`.
@@ -161,4 +161,4 @@ rag_agent = Agent(
## Conclusion
The `WeaviateVectorSearchTool` provides a powerful way to search for semantically similar documents in a Weaviate vector database. By leveraging vector embeddings, it enables more accurate and contextually relevant search results compared to traditional keyword-based searches. This tool is particularly useful for applications that require finding information based on meaning rather than exact matches.
The `WeaviateVectorSearchTool` provides a powerful way to search for semantically similar documents in a Weaviate vector database. By leveraging vector embeddings, it enables more accurate and contextually relevant search results compared to traditional keyword-based searches. This tool is particularly useful for applications that require finding information based on meaning rather than exact matches.

View File

@@ -1,6 +1,6 @@
[project]
name = "crewai"
version = "0.114.0"
version = "0.108.0"
description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
readme = "README.md"
requires-python = ">=3.10,<3.13"

View File

@@ -17,7 +17,7 @@ warnings.filterwarnings(
category=UserWarning,
module="pydantic.main",
)
__version__ = "0.114.0"
__version__ = "0.108.0"
__all__ = [
"Agent",
"Crew",

View File

@@ -482,7 +482,6 @@ class Agent(BaseAgent):
verbose=self.verbose,
response_format=response_format,
i18n=self.i18n,
original_agent=self,
)
return lite_agent.kickoff(messages)

View File

@@ -60,7 +60,7 @@ def test():
"current_year": str(datetime.now().year)
}
try:
{{crew_name}}().crew().test(n_iterations=int(sys.argv[1]), eval_llm=sys.argv[2], inputs=inputs)
{{crew_name}}().crew().test(n_iterations=int(sys.argv[1]), openai_model_name=sys.argv[2], inputs=inputs)
except Exception as e:
raise Exception(f"An error occurred while testing the crew: {e}")

View File

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
authors = [{ name = "Your Name", email = "you@example.com" }]
requires-python = ">=3.10,<3.13"
dependencies = [
"crewai[tools]>=0.114.0,<1.0.0"
"crewai[tools]>=0.108.0,<1.0.0"
]
[project.scripts]

View File

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
authors = [{ name = "Your Name", email = "you@example.com" }]
requires-python = ">=3.10,<3.13"
dependencies = [
"crewai[tools]>=0.114.0,<1.0.0",
"crewai[tools]>=0.108.0,<1.0.0",
]
[project.scripts]

View File

@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
readme = "README.md"
requires-python = ">=3.10,<3.13"
dependencies = [
"crewai[tools]>=0.114.0"
"crewai[tools]>=0.108.0"
]
[tool.crewai]

View File

@@ -1043,7 +1043,6 @@ class Flow(Generic[T], metaclass=FlowMeta):
import traceback
traceback.print_exc()
raise
def _log_flow_event(
self, message: str, color: str = "yellow", level: str = "info"

View File

@@ -47,6 +47,11 @@ from crewai.utilities.events.llm_events import (
LLMCallStartedEvent,
LLMCallType,
)
from crewai.utilities.events.tool_usage_events import (
ToolUsageErrorEvent,
ToolUsageFinishedEvent,
ToolUsageStartedEvent,
)
from crewai.utilities.llm_utils import create_llm
from crewai.utilities.printer import Printer
from crewai.utilities.token_counter_callback import TokenCalcHandler
@@ -150,10 +155,6 @@ class LiteAgent(BaseModel):
default=[], description="Results of the tools used by the agent."
)
# Reference of Agent
original_agent: Optional[BaseAgent] = Field(
default=None, description="Reference to the agent that created this LiteAgent"
)
# Private Attributes
_parsed_tools: List[CrewStructuredTool] = PrivateAttr(default_factory=list)
_token_process: TokenProcess = PrivateAttr(default_factory=TokenProcess)
@@ -162,7 +163,7 @@ class LiteAgent(BaseModel):
_messages: List[Dict[str, str]] = PrivateAttr(default_factory=list)
_iterations: int = PrivateAttr(default=0)
_printer: Printer = PrivateAttr(default_factory=Printer)
@model_validator(mode="after")
def setup_llm(self):
"""Set up the LLM and other components after initialization."""
@@ -411,6 +412,18 @@ class LiteAgent(BaseModel):
formatted_answer = process_llm_response(answer, self.use_stop_words)
if isinstance(formatted_answer, AgentAction):
# Emit tool usage started event
crewai_event_bus.emit(
self,
event=ToolUsageStartedEvent(
agent_key=self.key,
agent_role=self.role,
tool_name=formatted_answer.tool,
tool_args=formatted_answer.tool_input,
tool_class=formatted_answer.tool,
),
)
try:
tool_result = execute_tool_and_check_finality(
agent_action=formatted_answer,
@@ -418,9 +431,34 @@ class LiteAgent(BaseModel):
i18n=self.i18n,
agent_key=self.key,
agent_role=self.role,
agent=self.original_agent,
)
# Emit tool usage finished event
crewai_event_bus.emit(
self,
event=ToolUsageFinishedEvent(
agent_key=self.key,
agent_role=self.role,
tool_name=formatted_answer.tool,
tool_args=formatted_answer.tool_input,
tool_class=formatted_answer.tool,
started_at=datetime.now(),
finished_at=datetime.now(),
output=tool_result.result,
),
)
except Exception as e:
# Emit tool usage error event
crewai_event_bus.emit(
self,
event=ToolUsageErrorEvent(
agent_key=self.key,
agent_role=self.role,
tool_name=formatted_answer.tool,
tool_args=formatted_answer.tool_input,
tool_class=formatted_answer.tool,
error=str(e),
),
)
raise e
formatted_answer = handle_agent_action_core(

View File

@@ -707,6 +707,15 @@ class LLM(BaseLLM):
function_name, lambda: None
) # Ensure fn is always a callable
logging.error(f"Error executing function '{function_name}': {e}")
crewai_event_bus.emit(
self,
event=ToolExecutionErrorEvent(
tool_name=function_name,
tool_args=function_args,
tool_class=fn,
error=str(e),
),
)
crewai_event_bus.emit(
self,
event=LLMCallFailedEvent(error=f"Tool execution error: {str(e)}"),

View File

@@ -1,4 +1,4 @@
from typing import TYPE_CHECKING, Any, Dict, Optional
from typing import TYPE_CHECKING, Any, Dict, Optional, Self
from crewai.memory.external.external_memory_item import ExternalMemoryItem
from crewai.memory.memory import Memory
@@ -52,7 +52,7 @@ class ExternalMemory(Memory):
def reset(self) -> None:
self.storage.reset()
def set_crew(self, crew: Any) -> "ExternalMemory":
def set_crew(self, crew: Any) -> Self:
super().set_crew(crew)
if not self.storage:

View File

@@ -1,4 +1,4 @@
from typing import Any, Dict, List, Optional
from typing import Any, Dict, List, Optional, Self
from pydantic import BaseModel
@@ -38,6 +38,6 @@ class Memory(BaseModel):
query=query, limit=limit, score_threshold=score_threshold
)
def set_crew(self, crew: Any) -> "Memory":
def set_crew(self, crew: Any) -> Self:
self.crew = crew
return self

View File

@@ -1,4 +1,3 @@
import asyncio
import warnings
from abc import ABC, abstractmethod
from inspect import signature
@@ -66,13 +65,7 @@ class BaseTool(BaseModel, ABC):
**kwargs: Any,
) -> Any:
print(f"Using Tool: {self.name}")
result = self._run(*args, **kwargs)
# If _run is async, we safely run it
if asyncio.iscoroutine(result):
return asyncio.run(result)
return result
return self._run(*args, **kwargs)
@abstractmethod
def _run(
@@ -251,13 +244,9 @@ def to_langchain(
return [t.to_structured_tool() if isinstance(t, BaseTool) else t for t in tools]
def tool(*args, result_as_answer=False):
def tool(*args):
"""
Decorator to create a tool from a function.
Args:
*args: Positional arguments, either the function to decorate or the tool name.
result_as_answer: Flag to indicate if the tool result should be used as the final agent answer.
"""
def _make_with_name(tool_name: str) -> Callable:
@@ -283,7 +272,6 @@ def tool(*args, result_as_answer=False):
description=f.__doc__,
func=f,
args_schema=args_schema,
result_as_answer=result_as_answer,
)
return _make_tool

View File

@@ -2,6 +2,7 @@ import ast
import datetime
import json
import time
from dataclasses import dataclass
from difflib import SequenceMatcher
from json import JSONDecodeError
from textwrap import dedent
@@ -25,7 +26,6 @@ from crewai.utilities.events.tool_usage_events import (
ToolSelectionErrorEvent,
ToolUsageErrorEvent,
ToolUsageFinishedEvent,
ToolUsageStartedEvent,
ToolValidateInputErrorEvent,
)
@@ -166,21 +166,6 @@ class ToolUsage:
if self.task:
self.task.increment_tools_errors()
if self.agent:
event_data = {
"agent_key": self.agent.key,
"agent_role": self.agent.role,
"tool_name": self.action.tool,
"tool_args": self.action.tool_input,
"tool_class": self.action.tool,
"agent": self.agent,
}
if self.agent.fingerprint:
event_data.update(self.agent.fingerprint)
crewai_event_bus.emit(self,ToolUsageStartedEvent(**event_data))
started_at = time.time()
from_cache = False
result = None # type: ignore

View File

@@ -16,6 +16,7 @@ from crewai.tools.base_tool import BaseTool
from crewai.tools.structured_tool import CrewStructuredTool
from crewai.tools.tool_types import ToolResult
from crewai.utilities import I18N, Printer
from crewai.utilities.events.tool_usage_events import ToolUsageStartedEvent
from crewai.utilities.exceptions.context_window_exceeding_exception import (
LLMContextLengthExceededException,
)

View File

@@ -5,6 +5,11 @@ from crewai.security import Fingerprint
from crewai.tools.structured_tool import CrewStructuredTool
from crewai.tools.tool_types import ToolResult
from crewai.tools.tool_usage import ToolUsage, ToolUsageErrorException
from crewai.utilities.events import crewai_event_bus
from crewai.utilities.events.tool_usage_events import (
ToolUsageErrorEvent,
ToolUsageStartedEvent,
)
from crewai.utilities.i18n import I18N
@@ -37,8 +42,10 @@ def execute_tool_and_check_finality(
ToolResult containing the execution result and whether it should be treated as a final answer
"""
try:
# Create tool name to tool map
tool_name_to_tool_map = {tool.name: tool for tool in tools}
# Emit tool usage event if agent info is available
if agent_key and agent_role and agent:
fingerprint_context = fingerprint_context or {}
if agent:
@@ -52,6 +59,22 @@ def execute_tool_and_check_finality(
except Exception as e:
raise ValueError(f"Failed to set fingerprint: {e}")
event_data = {
"agent_key": agent_key,
"agent_role": agent_role,
"tool_name": agent_action.tool,
"tool_args": agent_action.tool_input,
"tool_class": agent_action.tool,
"agent": agent,
}
event_data.update(fingerprint_context)
crewai_event_bus.emit(
agent,
event=ToolUsageStartedEvent(
**event_data,
),
)
# Create tool usage instance
tool_usage = ToolUsage(
tools_handler=tools_handler,
@@ -87,4 +110,17 @@ def execute_tool_and_check_finality(
return ToolResult(tool_result, False)
except Exception as e:
# Emit error event if agent info is available
if agent_key and agent_role and agent:
crewai_event_bus.emit(
agent,
event=ToolUsageErrorEvent(
agent_key=agent_key,
agent_role=agent_role,
tool_name=agent_action.tool,
tool_args=agent_action.tool_input,
tool_class=agent_action.tool,
error=str(e),
),
)
raise e

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@@ -0,0 +1,112 @@
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@@ -395,3 +395,51 @@ def test_deepseek_r1_with_open_router():
result = llm.call("What is the capital of France?")
assert isinstance(result, str)
assert "Paris" in result
@pytest.mark.vcr(filter_headers=["authorization"])
def test_tool_execution_error_event():
llm = LLM(model="gpt-4o-mini")
def failing_tool(param: str) -> str:
"""This tool always fails."""
raise Exception("Tool execution failed!")
tool_schema = {
"type": "function",
"function": {
"name": "failing_tool",
"description": "This tool always fails.",
"parameters": {
"type": "object",
"properties": {
"param": {"type": "string", "description": "A test parameter"}
},
"required": ["param"],
},
},
}
received_events = []
@crewai_event_bus.on(ToolExecutionErrorEvent)
def event_handler(source, event):
received_events.append(event)
available_functions = {"failing_tool": failing_tool}
messages = [{"role": "user", "content": "Use the failing tool"}]
llm.call(
messages,
tools=[tool_schema],
available_functions=available_functions,
)
assert len(received_events) == 1
event = received_events[0]
assert isinstance(event, ToolExecutionErrorEvent)
assert event.tool_name == "failing_tool"
assert event.tool_args == {"param": "test"}
assert event.tool_class == failing_tool
assert "Tool execution failed!" in event.error

View File

@@ -1,8 +1,4 @@
import asyncio
import inspect
import unittest
from typing import Any, Callable, Dict, List
from unittest.mock import patch
from typing import Callable
from crewai.tools import BaseTool, tool
@@ -104,91 +100,3 @@ def test_default_cache_function_is_true():
my_tool = MyCustomTool()
# Assert all the right attributes were defined
assert my_tool.cache_function()
def test_result_as_answer_in_tool_decorator():
@tool("Tool with result as answer", result_as_answer=True)
def my_tool_with_result_as_answer(question: str) -> str:
"""This tool will return its result as the final answer."""
return question
assert my_tool_with_result_as_answer.result_as_answer is True
converted_tool = my_tool_with_result_as_answer.to_structured_tool()
assert converted_tool.result_as_answer is True
@tool("Tool with default result_as_answer")
def my_tool_with_default(question: str) -> str:
"""This tool uses the default result_as_answer value."""
return question
assert my_tool_with_default.result_as_answer is False
converted_tool = my_tool_with_default.to_structured_tool()
assert converted_tool.result_as_answer is False
class SyncTool(BaseTool):
"""Test implementation with a synchronous _run method"""
name: str = "sync_tool"
description: str = "A synchronous tool for testing"
def _run(self, input_text: str) -> str:
"""Process input text synchronously."""
return f"Processed {input_text} synchronously"
class AsyncTool(BaseTool):
"""Test implementation with an asynchronous _run method"""
name: str = "async_tool"
description: str = "An asynchronous tool for testing"
async def _run(self, input_text: str) -> str:
"""Process input text asynchronously."""
await asyncio.sleep(0.1) # Simulate async operation
return f"Processed {input_text} asynchronously"
def test_sync_run_returns_direct_result():
"""Test that _run in a synchronous tool returns a direct result, not a coroutine."""
tool = SyncTool()
result = tool._run(input_text="hello")
assert not asyncio.iscoroutine(result)
assert result == "Processed hello synchronously"
run_result = tool.run(input_text="hello")
assert run_result == "Processed hello synchronously"
def test_async_run_returns_coroutine():
"""Test that _run in an asynchronous tool returns a coroutine object."""
tool = AsyncTool()
result = tool._run(input_text="hello")
assert asyncio.iscoroutine(result)
result.close() # Clean up the coroutine
def test_run_calls_asyncio_run_for_async_tools():
"""Test that asyncio.run is called when using async tools."""
async_tool = AsyncTool()
with patch('asyncio.run') as mock_run:
mock_run.return_value = "Processed test asynchronously"
async_result = async_tool.run(input_text="test")
mock_run.assert_called_once()
assert async_result == "Processed test asynchronously"
def test_run_does_not_call_asyncio_run_for_sync_tools():
"""Test that asyncio.run is NOT called when using sync tools."""
sync_tool = SyncTool()
with patch('asyncio.run') as mock_run:
sync_result = sync_tool.run(input_text="test")
mock_run.assert_not_called()
assert sync_result == "Processed test synchronously"

102
uv.lock generated
View File

@@ -1,42 +1,19 @@
version = 1
revision = 1
requires-python = ">=3.10, <3.13"
resolution-markers = [
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