How to convert Runnables as Tools | ️ LangChain 可以使用as_tool方法将接受字符串或输入的 Runnabledict转换为工具,该方法允许指定参数的名称、描述和其他架构信息。 如何向 LLM 和聊天模型添加临时工具调用功能 How to add ad-hoc tool calling capability to LLMs and Chat Models | ️ LangChain 如何...
tools所需的基本要素仍然是一样的(除了LangChain自定义的return_direct):工具名称-name、工具描述-description、工具需要的参数描述-parameters、工具对应的函数-如get_current_time # 定义工具列表,模型在选择使用哪个工具时会参考工具的name和descriptiontools=[# 工具1 获取当前时刻的时间{"type":"function","function...
#内部的封装好的tool = load_tools(["serpapi"])[0] 自定义tool:最常用扩展方式 fromdatetimeimportdatetimefromlangchain_core.toolsimporttool#函数自定义@tool("weekday")defweekday(date_str:str) ->str:"""Convert date to weekday name"""date_object = datetime.strptime(date_str,'%Y-%m-%d') wee...
defconvert_dict_to_message(_dict: Mapping[str, Any])->BaseMessage:"""Convert a dictionary to a LangChain message. Args: _dict: The dictionary. Returns: The LangChain message. """role = _dict.get("role")ifrole =="user":returnHumanMessage(content=_dict.get("content","")) elif role...
from langchain_core.promptsimportChatPromptTemplate,MessagesPlaceholder from langgraph.graphimportEND,StateGraph from langgraph.prebuilt.tool_executorimportToolExecutor,ToolInvocationdefcreate_agent(llm,tools,system_message:str):"""Create an agent."""functions=[convert_to_openai_function(t)fortintools]prom...
from langchain_core.utils.function_calling import convert_pydantic_to_openai_function# 导入用于将Pydantic模型转换为OpenAI函数的函数from langchain_core.prompts import ChatPromptTemplate# 导入聊天提示模板from langchain_core.pydantic_v1 import BaseModel, Field, validator# 导入Pydantic的相关模块from langchain...
from langchain_core.utils.function_callingimportconvert_pydantic_to_openai_function# 导入用于将Pydantic模型转换为OpenAI函数的函数from langchain_core.promptsimportChatPromptTemplate# 导入聊天提示模板from langchain_core.pydantic_v1importBaseModel, Field, validator# 导入Pydantic的相关模块from langchain_openaiim...
await _readPDFandConvertToText():"";final loader=TextLoader(textfile);final document=await loader.load();Document? docs;for(var docindocument){docs=doc;}returndocs!;}else{throw Exception("No file selected");}}Future<String>_readPDFandConvertToText()async{Filefile=File(_filepath!);List<int...
from langchain_core.utils.function_calling import convert_to_openai_function # model = ChatOpenAI(temperature=0) # functions = [convert_to_openai_function(t) for t in tool_belt] model = model.bind_functions(functions) 利用LangGraph LangGraph 使用一个 StatefulGraph,该 StatefulGraph 使用 AgentSt...
from langchain_core.utils.function_calling import convert_to_openai_tool def multiply(a: int, b: int) -> int: """Multiply two integers together. Args: a: First integer b: Second integer """ return a * b print(json.dumps(convert_to_openai_tool(multiply), indent=2)) ...