ChatYandexGPT
LangChain.js 支持调用 YandexGPT 聊天模型。
¥LangChain.js supports calling YandexGPT chat models.
设置
¥Setup
首先,你需要使用 ai.languageModels.user
角色登录 创建服务账户。
¥First, you should create a service account with the ai.languageModels.user
role.
接下来,你有两个身份验证选项:
¥Next, you have two authentication options:
IAM 令牌。你可以在构造函数参数中将令牌指定为
iam_token
,也可以在环境变量YC_IAM_TOKEN
中指定令牌。¥IAM token. You can specify the token in a constructor parameter as
iam_token
or in an environment variableYC_IAM_TOKEN
.API 密钥 你可以在构造函数参数中将键指定为
api_key
,也可以在环境变量YC_API_KEY
中指定键。¥API key You can specify the key in a constructor parameter as
api_key
or in an environment variableYC_API_KEY
.
用法
¥Usage
tip
- npm
- Yarn
- pnpm
npm install @langchain/yandex @langchain/core
yarn add @langchain/yandex @langchain/core
pnpm add @langchain/yandex @langchain/core
import { ChatYandexGPT } from "@langchain/yandex/chat_models";
import { HumanMessage, SystemMessage } from "@langchain/core/messages";
const chat = new ChatYandexGPT();
const res = await chat.invoke([
new SystemMessage(
"You are a helpful assistant that translates English to French."
),
new HumanMessage("I love programming."),
]);
console.log(res);
/*
AIMessage {
lc_serializable: true,
lc_kwargs: { content: "Je t'aime programmer.", additional_kwargs: {} },
lc_namespace: [ 'langchain', 'schema' ],
content: "Je t'aime programmer.",
name: undefined,
additional_kwargs: {}
}
*/
API Reference:
- ChatYandexGPT from
@langchain/yandex/chat_models
- HumanMessage from
@langchain/core/messages
- SystemMessage from
@langchain/core/messages
相关
¥Related
聊天模型 概念指南
¥Chat model conceptual guide
聊天模型 操作指南
¥Chat model how-to guides