mirror of
https://github.com/crewAIInc/crewAI.git
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113 lines
4.2 KiB
Python
113 lines
4.2 KiB
Python
from typing import Any, List
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from langchain.output_parsers import PydanticOutputParser
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from langchain.prompts import PromptTemplate
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from langchain_core.tools import BaseTool
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from crewai.agents.tools_handler import ToolsHandler
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from crewai.telemtry import Telemetry
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from crewai.tools.tool_calling import ToolCalling
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from crewai.utilities import I18N, Printer
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class ToolUsage:
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"""
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Class that represents the usage of a tool by an agent.
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Attributes:
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tools_handler: Tools handler that will manage the tool usage.
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tools: List of tools available for the agent.
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llm: Language model to be used for the tool usage.
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"""
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def __init__(
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self, tools_handler: ToolsHandler, tools: List[BaseTool], llm: Any
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) -> None:
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self._i18n: I18N = I18N()
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self._printer: Printer = Printer()
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self._telemetry: Telemetry = Telemetry()
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self._run_attempts: int = 1
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self._max_parsing_attempts: int = 3
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self.tools_handler = tools_handler
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self.tools = tools
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self.llm = llm
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def use(self, tool_string: str):
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calling = self._tool_calling(tool_string)
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tool = self._select_tool(calling.function_name)
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return self._use(tool=tool, calling=calling)
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def _use(self, tool: BaseTool, calling: ToolCalling) -> None:
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if self._check_tool_repeated_usage(calling=calling):
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result = self._i18n.errors("task_repeated_usage").format(
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tool=calling.function_name, tool_input=calling.arguments
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)
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else:
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self.tools_handler.on_tool_start(calling=calling)
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result = self.tools_handler.cache.read(
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tool=calling.function_name, input=calling.arguments
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)
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if not result:
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result = tool._run(**calling.arguments)
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self.tools_handler.on_tool_end(calling=calling, output=result)
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self._printer.print(content=f"\n\n{result}\n", color="yellow")
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self._telemetry.tool_usage(
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llm=self.llm, tool_name=tool.name, attempts=self._run_attempts
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)
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return result
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def _check_tool_repeated_usage(self, calling: ToolCalling) -> None:
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if last_tool_usage := self.tools_handler.last_used_tool:
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return calling == last_tool_usage
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def _select_tool(self, tool_name: str) -> BaseTool:
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for tool in self.tools:
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if tool.name == tool_name:
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return tool
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raise Exception(f"Tool '{tool_name}' not found.")
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def _render(self) -> str:
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"""Render the tool name and description in plain text."""
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descriptions = []
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for tool in self.tools:
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args = {
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k: {k2: v2 for k2, v2 in v.items() if k2 in ["description", "type"]}
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for k, v in tool.args.items()
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}
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descriptions.append(
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"\n".join(
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[
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f"Funtion Name: {tool.name}",
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f"Funtion attributes: {args}",
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f"Description: {tool.description}",
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]
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)
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)
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return "\n--\n".join(descriptions)
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def _tool_calling(self, tool_string: str) -> ToolCalling:
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try:
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parser = PydanticOutputParser(pydantic_object=ToolCalling)
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prompt = PromptTemplate(
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template="Return a valid schema for the one tool you must use with its arguments and values.\n\nTools available:\n\n{available_tools}\n\nUse this text to inform a valid ouput schema:\n{tool_string}\n\n{format_instructions}\n```",
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input_variables=["tool_string"],
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partial_variables={
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"available_tools": self._render(),
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"format_instructions": parser.get_format_instructions(),
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},
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)
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chain = prompt | self.llm | parser
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calling = chain.invoke({"tool_string": tool_string})
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except Exception as e:
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self._run_attempts += 1
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if self._run_attempts > self._max_parsing_attempts:
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self._telemetry.tool_usage_error(llm=self.llm)
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raise e
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return self._tool_calling(tool_string)
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return calling
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