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基于 Upstash Redis 的聊天记忆

由于 Upstash Redis 是通过 REST API 工作的，因此你可以将其与 Vercel Edge、Cloudflare Workers 以及其他 Serverless 环境一起使用。 该功能基于 Redis-Backed Chat Memory 实现。

为了在多个聊天会话之间实现更长期的持久化，你可以将默认的内存中 chatHistory（用于如 BufferMemory 等聊天记忆类）替换为一个 Upstash Redis 实例。

安装与配置​

你需要在项目中安装 @upstash/redis：

:::提示 请参阅安装集成包的一般说明部分。 :::

npm install @langchain/openai @langchain/community @langchain/core @upstash/redis

你还需要一个 Upstash 账户以及一个可供连接的 Redis 数据库。查看 Upstash 文档了解如何创建 HTTP 客户端。

使用方法​

存储在 Redis 中的每个聊天历史会话都必须具有唯一的 ID。你可以提供一个可选的 sessionTTL 参数，以使会话在指定的秒数后过期。 config 参数会被直接传递给 @upstash/redis 中 new Redis() 构造函数，并接受所有相同的参数。

import { BufferMemory } from "langchain/memory";
import { UpstashRedisChatMessageHistory } from "@langchain/community/stores/message/upstash_redis";
import { ChatOpenAI } from "@langchain/openai";
import { ConversationChain } from "langchain/chains";

const memory = new BufferMemory({
  chatHistory: new UpstashRedisChatMessageHistory({
    sessionId: new Date().toISOString(), // Or some other unique identifier for the conversation
    sessionTTL: 300, // 5 minutes, omit this parameter to make sessions never expire
    config: {
      url: "https://ADD_YOURS_HERE.upstash.io", // Override with your own instance's URL
      token: "********", // Override with your own instance's token
    },
  }),
});

const model = new ChatOpenAI({
  model: "gpt-3.5-turbo",
  temperature: 0,
});

const chain = new ConversationChain({ llm: model, memory });

const res1 = await chain.invoke({ input: "Hi! I'm Jim." });
console.log({ res1 });
/*
{
  res1: {
    text: "Hello Jim! It's nice to meet you. My name is AI. How may I assist you today?"
  }
}
*/

const res2 = await chain.invoke({ input: "What did I just say my name was?" });
console.log({ res2 });

/*
{
  res1: {
    text: "You said your name was Jim."
  }
}
*/

API Reference:

高级用法​

你也可以直接传入一个之前创建的 @upstash/redis 客户端实例：

import { Redis } from "@upstash/redis";
import { BufferMemory } from "langchain/memory";
import { UpstashRedisChatMessageHistory } from "@langchain/community/stores/message/upstash_redis";
import { ChatOpenAI } from "@langchain/openai";
import { ConversationChain } from "langchain/chains";

// Create your own Redis client
const client = new Redis({
  url: "https://ADD_YOURS_HERE.upstash.io",
  token: "********",
});

const memory = new BufferMemory({
  chatHistory: new UpstashRedisChatMessageHistory({
    sessionId: new Date().toISOString(),
    sessionTTL: 300,
    client, // You can reuse your existing Redis client
  }),
});

const model = new ChatOpenAI({
  model: "gpt-3.5-turbo",
  temperature: 0,
});

const chain = new ConversationChain({ llm: model, memory });

const res1 = await chain.invoke({ input: "Hi! I'm Jim." });
console.log({ res1 });
/*
{
  res1: {
    text: "Hello Jim! It's nice to meet you. My name is AI. How may I assist you today?"
  }
}
*/

const res2 = await chain.invoke({ input: "What did I just say my name was?" });
console.log({ res2 });

/*
{
  res1: {
    text: "You said your name was Jim."
  }
}
*/

API Reference:

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