ChatAlibabaTongyi
LangChain.js supports the Alibaba qwen family of models.
Setup
You'll need to sign up for an Alibaba API key and set it as an environment variable named ALIBABA_API_KEY
.
Then, you'll need to install the @langchain/community
package:
- npm
- Yarn
- pnpm
npm install @langchain/community @langchain/core
yarn add @langchain/community @langchain/core
pnpm add @langchain/community @langchain/core
Usage
Here's an example:
import { ChatAlibabaTongyi } from "@langchain/community/chat_models/alibaba_tongyi";
import { HumanMessage } from "@langchain/core/messages";
// Default model is qwen-turbo
const qwenTurbo = new ChatAlibabaTongyi({
alibabaApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.ALIBABA_API_KEY
});
// Use qwen-plus
const qwenPlus = new ChatAlibabaTongyi({
model: "qwen-plus", // Available models: qwen-turbo, qwen-plus, qwen-max
temperature: 1,
alibabaApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.ALIBABA_API_KEY
});
const messages = [new HumanMessage("Hello")];
const res = await qwenTurbo.invoke(messages);
/*
AIMessage {
content: "Hello! How can I help you today? Is there something you would like to talk about or ask about? I'm here to assist you with any questions you may have.",
}
*/
const res2 = await qwenPlus.invoke(messages);
/*
AIMessage {
text: "Hello! How can I help you today? Is there something you would like to talk about or ask about? I'm here to assist you with any questions you may have.",
}
*/
API Reference:
- ChatAlibabaTongyi from
@langchain/community/chat_models/alibaba_tongyi
- HumanMessage from
@langchain/core/messages
Related
- Chat model conceptual guide
- Chat model how-to guides