Source code for langchain_community.agent_toolkits.openapi.base

"""打开API规范代理。"""
from __future__ import annotations

from typing import TYPE_CHECKING, Any, Dict, List, Optional

from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel

from langchain_community.agent_toolkits.openapi.prompt import (
    OPENAPI_PREFIX,
    OPENAPI_SUFFIX,
)
from langchain_community.agent_toolkits.openapi.toolkit import OpenAPIToolkit

if TYPE_CHECKING:
    from langchain.agents.agent import AgentExecutor


[docs]def create_openapi_agent( llm: BaseLanguageModel, toolkit: OpenAPIToolkit, callback_manager: Optional[BaseCallbackManager] = None, prefix: str = OPENAPI_PREFIX, suffix: str = OPENAPI_SUFFIX, format_instructions: Optional[str] = None, input_variables: Optional[List[str]] = None, max_iterations: Optional[int] = 15, max_execution_time: Optional[float] = None, early_stopping_method: str = "force", verbose: bool = False, return_intermediate_steps: bool = False, agent_executor_kwargs: Optional[Dict[str, Any]] = None, **kwargs: Any, ) -> AgentExecutor: """从LLM和工具构建一个OpenAPI代理。 *安全提示*:在创建OpenAPI代理时,请检查基础工具包的权限和功能。 例如,如果OpenAPIToolkit的默认实现使用RequestsToolkit,其中包含用于对任何URL进行任意网络请求的工具(例如,GET、POST、PATCH、PUT、DELETE), 控制谁可以使用这个工具包提交问题请求以及它具有什么网络访问权限。 有关更多信息,请参见https://python.langchain.com/docs/security。 """ from langchain.agents.agent import AgentExecutor from langchain.agents.mrkl.base import ZeroShotAgent from langchain.chains.llm import LLMChain tools = toolkit.get_tools() prompt_params = ( {"format_instructions": format_instructions} if format_instructions is not None else {} ) prompt = ZeroShotAgent.create_prompt( tools, prefix=prefix, suffix=suffix, input_variables=input_variables, **prompt_params, ) llm_chain = LLMChain( llm=llm, prompt=prompt, callback_manager=callback_manager, ) tool_names = [tool.name for tool in tools] agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) return AgentExecutor.from_agent_and_tools( agent=agent, tools=tools, callback_manager=callback_manager, verbose=verbose, return_intermediate_steps=return_intermediate_steps, max_iterations=max_iterations, max_execution_time=max_execution_time, early_stopping_method=early_stopping_method, **(agent_executor_kwargs or {}), )