Searxng 搜索工具

SearxngSearch 工具将您的代理和链连接到互联网。

SearxNG API 的包装器，此工具可用于使用 SearxNG API 执行元搜索引擎查询。它在回答有关当前事件的问题时特别有用。

使用

提示

查看 此部分以获取有关安装集成包的一般说明。

npm

npm install @langchain/openai

Yarn

yarn add @langchain/openai

pnpm

pnpm add @langchain/openai

import { ChatOpenAI } from "@langchain/openai";
import { AgentExecutor } from "langchain/agents";
import { BaseMessageChunk } from "@langchain/core/messages";
import { AgentAction, AgentFinish } from "@langchain/core/agents";
import { RunnableSequence } from "@langchain/core/runnables";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { SearxngSearch } from "@langchain/community/tools/searxng_search";

const model = new ChatOpenAI({
  maxTokens: 1000,
  model: "gpt-4",
});

// `apiBase` will be automatically parsed from .env file, set "SEARXNG_API_BASE" in .env,
const tools = [
  new SearxngSearch({
    params: {
      format: "json", // Do not change this, format other than "json" is will throw error
      engines: "google",
    },
    // Custom Headers to support rapidAPI authentication Or any instance that requires custom headers
    headers: {},
  }),
];
const prefix = ChatPromptTemplate.fromMessages([
  [
    "ai",
    "Answer the following questions as best you can. In your final answer, use a bulleted list markdown format.",
  ],
  ["human", "{input}"],
]);
// Replace this with your actual output parser.
const customOutputParser = (
  input: BaseMessageChunk
): AgentAction | AgentFinish => ({
  log: "test",
  returnValues: {
    output: input,
  },
});
// Replace this placeholder agent with your actual implementation.
const agent = RunnableSequence.from([prefix, model, customOutputParser]);
const executor = AgentExecutor.fromAgentAndTools({
  agent,
  tools,
});
console.log("Loaded agent.");
const input = `What is Langchain? Describe in 50 words`;
console.log(`Executing with input "${input}"...`);
const result = await executor.invoke({ input });
console.log(result);
/**
 * Langchain is a framework for developing applications powered by language models, such as chatbots, Generative Question-Answering, summarization, and more. It provides a standard interface, integrations with other tools, and end-to-end chains for common applications. Langchain enables data-aware and powerful applications.
 */

API 参考

• ChatOpenAI 来自 @langchain/openai
• AgentExecutor 来自 langchain/agents
• BaseMessageChunk 来自 @langchain/core/messages
• AgentAction 来自 @langchain/core/agents
• AgentFinish 来自 @langchain/core/agents
• RunnableSequence 来自 @langchain/core/runnables
• ChatPromptTemplate 来自 @langchain/core/prompts
• SearxngSearch 来自 @langchain/community/tools/searxng_search

相关

• 工具 概念指南
• 工具 操作指南