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Convex 聊天记忆

为了在聊天会话间实现更长期的持久化存储，您可以将默认的内存型 chatHistory 替换为 Convex，后者为 BufferMemory 类似的聊天记忆类提供支持。

设置​

创建项目​

首先创建一个可用的 Convex 项目，例如使用如下命令：

npm create convex@latest

添加数据库访问器​

在 convex/langchain/db.ts 中添加查询和变更辅助函数：

convex/langchain/db.ts
export * from "@langchain/community/utils/convex";

配置您的模式​

设置您的模式（用于索引）：

convex/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";

export default defineSchema({
  messages: defineTable({
    sessionId: v.string(),
    message: v.object({
      type: v.string(),
      data: v.object({
        content: v.string(),
        role: v.optional(v.string()),
        name: v.optional(v.string()),
        additional_kwargs: v.optional(v.any()),
      }),
    }),
  }).index("bySessionId", ["sessionId"]),
});

使用​

存储在 Convex 中的每个聊天历史会话都必须具有唯一的会话 ID。

:::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
convex/myActions.ts
"use node";

import { v } from "convex/values";
import { BufferMemory } from "langchain/memory";
import { ChatOpenAI } from "@langchain/openai";
import { ConversationChain } from "langchain/chains";
import { ConvexChatMessageHistory } from "@langchain/community/stores/message/convex";
import { action } from "./_generated/server.js";

export const ask = action({
  args: { sessionId: v.string() },
  handler: async (ctx, args) => {
    // pass in a sessionId string
    const { sessionId } = args;

    const memory = new BufferMemory({
      chatHistory: new ConvexChatMessageHistory({ sessionId, ctx }),
    });

    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 });

    /*
      {
        res2: {
          text: "You said your name was Jim."
        }
      }
    */

    // See the chat history in the Convex database
    console.log(await memory.chatHistory.getMessages());

    // clear chat history
    await memory.chatHistory.clear();
  },
});

API Reference:

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