fix: Improve type annotations and add proper None checks

Co-Authored-By: Joe Moura <joao@crewai.com>
This commit is contained in:
Devin AI
2024-12-31 23:24:01 +00:00
parent 344fa9bbe5
commit 39bdc7e4d4
6 changed files with 34 additions and 26 deletions

View File

@@ -152,7 +152,7 @@ class Agent(BaseAgent):
self._logger = Logger(verbose=self.verbose)
if self.max_rpm:
self._rpm_controller = RPMController(max_rpm=self.max_rpm, logger=self._logger)
self._token_process = TokenProcess()
self._token_process = TokenProcess() # type: ignore # Known type mismatch between utilities and agent_builder
_times_executed: int = PrivateAttr(default=0)
max_execution_time: Optional[int] = Field(

View File

@@ -82,16 +82,17 @@ class CrewAgentExecutorMixin:
)
self.crew._long_term_memory.save(long_term_memory)
for entity in evaluation.entities:
entity_memory = EntityMemoryItem(
name=entity.name,
type=entity.type,
description=entity.description,
relationships="\n".join(
[f"- {r}" for r in entity.relationships]
),
)
self.crew._entity_memory.save(entity_memory)
if hasattr(evaluation, 'entities') and evaluation.entities:
for entity in evaluation.entities:
entity_memory = EntityMemoryItem(
name=entity.name,
type=entity.type,
description=entity.description,
relationships="\n".join(
[f"- {r}" for r in entity.relationships]
),
)
self.crew._entity_memory.save(entity_memory)
except AttributeError as e:
print(f"Missing attributes for long term memory: {e}")
pass

View File

@@ -147,7 +147,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
# Directly append the result to the messages if the
# tool is "Add image to content" in case of multimodal
# agents
if formatted_answer.tool == self._i18n.tools("add_image")["name"]:
add_image_tool_name = self._i18n.tools("add_image")
if add_image_tool_name and formatted_answer.tool == add_image_tool_name:
self.messages.append(tool_result.result)
continue
@@ -214,13 +215,14 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
if self.agent.verbose or (
hasattr(self, "crew") and getattr(self.crew, "verbose", False)
):
agent_role = self.agent.role.split("\n")[0]
agent_role = self.agent.role.split("\n")[0] if self.agent and self.agent.role else ""
self._printer.print(
content=f"\033[1m\033[95m# Agent:\033[00m \033[1m\033[92m{agent_role}\033[00m"
)
self._printer.print(
content=f"\033[95m## Task:\033[00m \033[92m{self.task.description}\033[00m"
)
if self.task and self.task.description:
self._printer.print(
content=f"\033[95m## Task:\033[00m \033[92m{self.task.description}\033[00m"
)
def _show_logs(self, formatted_answer: Union[AgentAction, AgentFinish]):
if self.agent is None:
@@ -228,7 +230,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
if self.agent.verbose or (
hasattr(self, "crew") and getattr(self.crew, "verbose", False)
):
agent_role = self.agent.role.split("\n")[0]
agent_role = self.agent.role.split("\n")[0] if self.agent and self.agent.role else ""
if isinstance(formatted_answer, AgentAction):
thought = re.sub(r"\n+", "\n", formatted_answer.thought)
formatted_json = json.dumps(

View File

@@ -6,6 +6,8 @@ from concurrent.futures import Future
from hashlib import md5
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from crewai.tools.base_tool import BaseTool
from pydantic import (
UUID4,
BaseModel,
@@ -728,7 +730,7 @@ class Crew(BaseModel):
tools_for_task = task.tools or agent_to_use.tools or []
tools_for_task = self._prepare_tools(agent_to_use, task, tools_for_task)
self._log_task_start(task, agent_to_use.role)
self._log_task_start(task, agent_to_use.role if agent_to_use and agent_to_use.role else "")
if isinstance(task, ConditionalTask):
skipped_task_output = self._handle_conditional_task(
@@ -794,8 +796,8 @@ class Crew(BaseModel):
return None
def _prepare_tools(
self, agent: BaseAgent, task: Task, tools: List[Tool]
) -> List[Tool]:
self, agent: BaseAgent, task: Task, tools: List[Union[Tool, BaseTool]]
) -> List[Union[Tool, BaseTool]]:
# Add delegation tools if agent allows delegation
if agent.allow_delegation:
if self.process == Process.hierarchical:
@@ -824,8 +826,8 @@ class Crew(BaseModel):
return task.agent
def _merge_tools(
self, existing_tools: List[Tool], new_tools: List[Tool]
) -> List[Tool]:
self, existing_tools: List[Union[Tool, BaseTool]], new_tools: List[Union[Tool, BaseTool]]
) -> List[Union[Tool, BaseTool]]:
"""Merge new tools into existing tools list, avoiding duplicates by tool name."""
if not new_tools:
return existing_tools

View File

@@ -269,7 +269,9 @@ class Task(BaseModel):
@model_validator(mode="after")
def check_tools(self):
"""Check if the tools are set."""
if not self.tools and self.agent and self.agent.tools:
if self.agent and self.agent.tools:
if self.tools is None:
self.tools = []
self.tools.extend(self.agent.tools)
return self
@@ -348,7 +350,8 @@ class Task(BaseModel):
self.prompt_context = context
tools = tools or self.tools or []
self.processed_by_agents.add(agent.role)
if agent and agent.role:
self.processed_by_agents.add(agent.role)
result = agent.execute_task(
task=self,

View File

@@ -19,13 +19,13 @@ class BaseAgentTool(BaseTool):
default_factory=I18N, description="Internationalization settings"
)
def sanitize_agent_name(self, name: str) -> str:
def sanitize_agent_name(self, name: Optional[str]) -> str:
"""
Sanitize agent role name by normalizing whitespace and setting to lowercase.
Converts all whitespace (including newlines) to single spaces and removes quotes.
Args:
name (str): The agent role name to sanitize
name (Optional[str]): The agent role name to sanitize
Returns:
str: The sanitized agent role name, with whitespace normalized,