Javascript版Langchain入门教程解析

npm install -S langchain

import { OpenAI } from "langchain/llms/openai";
const model = new OpenAI({
    openAIApiKey: 'sk-xxxx',//你的OpenAI API Key
    temperature: 0.9
});
const res = await model.call(
    "写一首诗，限制20个字"
);
console.log(res);

import { OpenAI } from "langchain/llms/openai";
import { PromptTemplate } from "langchain/prompts";
import { LLMChain } from "langchain/chains";
const model = new OpenAI({
    openAIApiKey: 'sk-xxxx',//你的OpenAI API Key
    temperature: 0.9
});
const template = "What is a good name for a company that makes {product}?";
const prompt = new PromptTemplate({
    template: template,
    inputVariables: ["product"],
});
const chain = new LLMChain({ llm: model, prompt: prompt });
const res = await chain.call({ product: "colorful socks" });
console.log(res);

import { OpenAI } from "langchain/llms/openai";
import { initializeAgentExecutorWithOptions } from "langchain/agents";
import { SerpAPI } from "langchain/tools";
import { Calculator } from "langchain/tools/calculator";
const model = new OpenAI({
    streaming: true,
    openAIApiKey: 'sk-xxxx',//你的OpenAI API Key
    temperature: 0.9
});
const tools = [
    new SerpAPI('你的SerpAPI的key', {
        location: "Austin,Texas,United States",
        hl: "en",
        gl: "us",
    }),
    new Calculator(),
];
const executor = await initializeAgentExecutorWithOptions(tools, model, {
    agentType: "zero-shot-react-description",
});
console.log("Loaded agent.");
const input =
    "谁是周杰伦的老婆？" +
    "她的年纪加上10是多少?"
console.log(`Executing with input "${input}"...`);
const result = await executor.call({ input });
console.log(`Got output ${result.output}`);

const tools = [
    new SerpAPI('你的SerpAPI的key', {
        location: "Austin,Texas,United States",
        hl: "en",
        gl: "us",
    }),
    new Calculator(),
];