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Author SHA1 Message Date
Devin AI
3efc5f67fb Fix pyright LSP errors in example code
Co-Authored-By: Joe Moura <joao@crewai.com>
2025-04-08 22:29:10 +00:00
6 changed files with 89 additions and 2 deletions

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@@ -23,6 +23,7 @@ from crewai.utilities.constants import TRAINED_AGENTS_DATA_FILE, TRAINING_DATA_F
from crewai.utilities.converter import generate_model_description
from crewai.utilities.token_counter_callback import TokenCalcHandler
from crewai.utilities.training_handler import CrewTrainingHandler
from crewai.utilities.typing import AgentConfig
agentops = None
@@ -88,6 +89,7 @@ class Agent(BaseAgent):
function_calling_llm: Optional[Any] = Field(
description="Language model that will run the agent.", default=None
)
config: Optional[Union[Dict[str, Any], AgentConfig]] = Field(default=None)
system_template: Optional[str] = Field(
default=None, description="System format for the agent."
)

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@@ -16,6 +16,12 @@ def after_kickoff(func):
def task(func):
"""Decorator to mark a method as a task creator.
When applied to a method in a class decorated with @CrewBase,
this makes the method's return value accessible as an element
of the self.tasks list.
"""
func.is_task = True
@wraps(func)
@@ -29,6 +35,12 @@ def task(func):
def agent(func):
"""Decorator to mark a method as an agent creator.
When applied to a method in a class decorated with @CrewBase,
this makes the method's return value accessible as an element
of the self.agents list.
"""
func.is_agent = True
func = memoize(func)
return func

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@@ -1,6 +1,6 @@
import inspect
from pathlib import Path
from typing import Any, Callable, Dict, TypeVar, cast
from typing import Any, Callable, Dict, List, TypeVar, cast
import yaml
from dotenv import load_dotenv
@@ -66,6 +66,9 @@ def CrewBase(cls: T) -> T:
self._kickoff = self._filter_functions(
self._original_functions, "is_kickoff"
)
self.agents = [] # type: List[Any]
self.tasks = [] # type: List[Any]
@staticmethod
def load_yaml(config_path: Path):

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@@ -41,6 +41,7 @@ from crewai.tools.base_tool import BaseTool
from crewai.utilities.config import process_config
from crewai.utilities.converter import Converter, convert_to_model
from crewai.utilities.i18n import I18N
from crewai.utilities.typing import TaskConfig
class Task(BaseModel):
@@ -74,7 +75,7 @@ class Task(BaseModel):
expected_output: str = Field(
description="Clear definition of expected output for the task."
)
config: Optional[Dict[str, Any]] = Field(
config: Optional[Union[Dict[str, Any], TaskConfig]] = Field(
description="Configuration for the agent",
default=None,
)

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@@ -0,0 +1,14 @@
from typing import Dict, List, Optional, Any, TypedDict, Union
class AgentConfig(TypedDict, total=False):
"""TypedDict for agent configuration loaded from YAML."""
role: str
goal: str
backstory: str
verbose: bool
class TaskConfig(TypedDict, total=False):
"""TypedDict for task configuration loaded from YAML."""
description: str
expected_output: str
agent: str # Role of the agent to execute this task

55
tests/typing_test.py Normal file
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@@ -0,0 +1,55 @@
from typing import Dict, Any
import pytest
from crewai.agent import Agent
from crewai.task import Task
from crewai.utilities.typing import AgentConfig, TaskConfig
def test_agent_with_config_dict():
config: AgentConfig = {
"role": "Test Agent",
"goal": "Test Goal",
"backstory": "Test Backstory",
"verbose": True
}
agent = Agent(config=config)
assert agent.role == "Test Agent"
assert agent.goal == "Test Goal"
assert agent.backstory == "Test Backstory"
assert agent.verbose is True
def test_agent_with_yaml_config():
config: Dict[str, Any] = {
"researcher": {
"role": "Researcher",
"goal": "Research Goal",
"backstory": "Researcher Backstory",
"verbose": True
}
}
agent = Agent(config=config["researcher"])
assert agent.role == "Researcher"
assert agent.goal == "Research Goal"
assert agent.backstory == "Researcher Backstory"
def test_task_with_config_dict():
config: TaskConfig = {
"description": "Test Task",
"expected_output": "Test Output",
"agent": "researcher"
}
agent = Agent(role="Researcher", goal="Goal", backstory="Backstory")
task = Task(config=config, agent=agent)
assert task.description == "Test Task"
assert task.expected_output == "Test Output"
assert task.agent == agent