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refactor: Move BaseTool to main package and centralize tool description generation (#1514)

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* move base_tool to main package and consolidate tool desscription generation

* update import path

* update tests

* update doc

* add base_tool test

* migrate agent delegation tools to use BaseTool

* update tests

* update import path for tool

* fix lint

* update param signature

* add from_langchain to BaseTool for backwards support of langchain tools

* fix the case where StructuredTool doesn't have func

---------

Co-authored-by: c0dez <li@vitablehealth.com>
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
This commit is contained in:
C0deZ
2024-11-01 12:30:48 -04:00
committed by GitHub
parent 66698503b8
commit e66a135d5d
36 changed files with 547 additions and 217 deletions
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87
src/crewai/agents/agent_builder/utilities/base_agent_tool.py
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@@ -1,87 +0,0 @@
from abc import ABC, abstractmethod
from typing import List, Optional, Union
from pydantic import BaseModel, Field
from crewai.agents.agent_builder.base_agent import BaseAgent
from crewai.task import Task
from crewai.utilities import I18N
class BaseAgentTools(BaseModel, ABC):
"""Default tools around agent delegation"""
agents: List[BaseAgent] = Field(description="List of agents in this crew.")
i18n: I18N = Field(default=I18N(), description="Internationalization settings.")
@abstractmethod
def tools(self):
pass
def _get_coworker(self, coworker: Optional[str], **kwargs) -> Optional[str]:
coworker = coworker or kwargs.get("co_worker") or kwargs.get("coworker")
if coworker:
is_list = coworker.startswith("[") and coworker.endswith("]")
if is_list:
coworker = coworker[1:-1].split(",")[0]
return coworker
def delegate_work(
self, task: str, context: str, coworker: Optional[str] = None, **kwargs
):
"""Useful to delegate a specific task to a coworker passing all necessary context and names."""
coworker = self._get_coworker(coworker, **kwargs)
return self._execute(coworker, task, context)
def ask_question(
self, question: str, context: str, coworker: Optional[str] = None, **kwargs
):
"""Useful to ask a question, opinion or take from a coworker passing all necessary context and names."""
coworker = self._get_coworker(coworker, **kwargs)
return self._execute(coworker, question, context)
def _execute(
self, agent_name: Union[str, None], task: str, context: Union[str, None]
):
"""Execute the command."""
try:
if agent_name is None:
agent_name = ""
# It is important to remove the quotes from the agent name.
# The reason we have to do this is because less-powerful LLM's
# have difficulty producing valid JSON.
# As a result, we end up with invalid JSON that is truncated like this:
# {"task": "....", "coworker": "....
# when it should look like this:
# {"task": "....", "coworker": "...."}
agent_name = agent_name.casefold().replace('"', "").replace("\n", "")
agent = [ # type: ignore # Incompatible types in assignment (expression has type "list[BaseAgent]", variable has type "str | None")
available_agent
for available_agent in self.agents
if available_agent.role.casefold().replace("\n", "") == agent_name
]
except Exception as _:
return self.i18n.errors("agent_tool_unexsiting_coworker").format(
coworkers="\n".join(
[f"- {agent.role.casefold()}" for agent in self.agents]
)
)
if not agent:
return self.i18n.errors("agent_tool_unexsiting_coworker").format(
coworkers="\n".join(
[f"- {agent.role.casefold()}" for agent in self.agents]
)
)
agent = agent[0]
task_with_assigned_agent = Task( # type: ignore # Incompatible types in assignment (expression has type "Task", variable has type "str")
description=task,
agent=agent,
expected_output=agent.i18n.slice("manager_request"),
i18n=agent.i18n,
)
return agent.execute_task(task_with_assigned_agent, context)