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以下是将 Replicate 模型作为 LLM 调用的示例
有关安装 LangChain 软件包的一般说明,请参阅此部分
npm
npm install replicate@1 @langchain/community @langchain/core
import { Replicate } from "@langchain/community/llms/replicate";

const model = new Replicate({
  model:
    "a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",
});

const prompt = `
User: How much wood would a woodchuck chuck if a wood chuck could chuck wood?
Assistant:`;

const res = await model.invoke(prompt);
console.log({ res });
/*
  {
    res: "I'm happy to help! However, I must point out that the assumption in your question is not entirely accurate. " +
      + "Woodchucks, also known as groundhogs, do not actually chuck wood. They are burrowing animals that primarily " +
      "feed on grasses, clover, and other vegetation. They do not have the physical ability to chuck wood.\n" +
      '\n' +
      'If you have any other questions or if there is anything else I can assist you with, please feel free to ask!'
  }
*/
您可以通过更改 model 参数来通过 Replicate 运行其他模型。 您可以在Replicate 网站上找到完整的模型列表。
以编程方式连接这些文档到 Claude、VSCode 等,通过 MCP 获取实时答案。
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