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*   [Components](/v0.1/docs/integrations/components/)
*   [Chat Memory](/v0.1/docs/integrations/chat_memory/)
*   Astra DB Chat Memory

Astra DB Chat Memory
====================

For longer-term persistence across chat sessions, you can swap out the default in-memory `chatHistory` that backs chat memory classes like `BufferMemory` for Astra DB.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

You need to install the Astra DB TS client:

*   npm
*   Yarn
*   pnpm

    npm install @datastax/astra-db-ts

    yarn add @datastax/astra-db-ts

    pnpm add @datastax/astra-db-ts

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/openai @langchain/community

    yarn add @langchain/openai @langchain/community

    pnpm add @langchain/openai @langchain/community

Configuration and Initalization[​](#configuration-and-initalization "Direct link to Configuration and Initalization")
---------------------------------------------------------------------------------------------------------------------

There are two ways to inialize your `AstraDBChatMessageHistory`

If you already have an instance of the `AstraDB` client defined you can connect to your collection and initialize an instance of the `ChatMessageHistory` using the constuctor.

    const client = (client = new AstraDB(  process.env.ASTRA_DB_APPLICATION_TOKEN,  process.env.ASTRA_DB_ENDPOINT,  process.env.ASTRA_DB_NAMESPACE));const collection = await client.collection("YOUR_COLLECTION_NAME");const chatHistory = new AstraDBChatMessageHistory({  collection,  sessionId: "YOUR_SESSION_ID",});

If you don't already have an instance of an `AstraDB` client you can use the `initialize` method.

    const chatHistory = await AstraDBChatMessageHistory.initialize({  token: process.env.ASTRA_DB_APPLICATION_TOKEN ?? "token",  endpoint: process.env.ASTRA_DB_ENDPOINT ?? "endpoint",  namespace: process.env.ASTRA_DB_NAMESPACE,  collectionName: "YOUR_COLLECTION_NAME",  sessionId: "YOUR_SESSION_ID",});

Usage[​](#usage "Direct link to Usage")
---------------------------------------

Tip

Your collection must already exist

    import { RunnableWithMessageHistory } from "@langchain/core/runnables";import {  ChatPromptTemplate,  MessagesPlaceholder,} from "@langchain/core/prompts";import { StringOutputParser } from "@langchain/core/output_parsers";import { ChatOpenAI } from "@langchain/openai";import { AstraDBChatMessageHistory } from "@langchain/community/stores/message/astradb";const model = new ChatOpenAI({  model: "gpt-3.5-turbo",  temperature: 0,});const prompt = ChatPromptTemplate.fromMessages([  [    "system",    "You are a helpful assistant. Answer all questions to the best of your ability.",  ],  new MessagesPlaceholder("chat_history"),  ["human", "{input}"],]);const chain = prompt.pipe(model).pipe(new StringOutputParser());const chainWithHistory = new RunnableWithMessageHistory({  runnable: chain,  inputMessagesKey: "input",  historyMessagesKey: "chat_history",  getMessageHistory: async (sessionId) => {    const chatHistory = await AstraDBChatMessageHistory.initialize({      token: process.env.ASTRA_DB_APPLICATION_TOKEN as string,      endpoint: process.env.ASTRA_DB_ENDPOINT as string,      namespace: process.env.ASTRA_DB_NAMESPACE,      collectionName: "YOUR_COLLECTION_NAME",      sessionId,    });    return chatHistory;  },});const res1 = await chainWithHistory.invoke(  {    input: "Hi! I'm Jim.",  },  { configurable: { sessionId: "langchain-test-session" } });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 chainWithHistory.invoke(  { input: "What did I just say my name was?" },  { configurable: { sessionId: "langchain-test-session" } });console.log({ res2 });/*{  res2: {    text: "You said your name was Jim."  }}*/

#### API Reference:

*   [RunnableWithMessageHistory](https://api.js.langchain.com/classes/langchain_core_runnables.RunnableWithMessageHistory.html) from `@langchain/core/runnables`
*   [ChatPromptTemplate](https://api.js.langchain.com/classes/langchain_core_prompts.ChatPromptTemplate.html) from `@langchain/core/prompts`
*   [MessagesPlaceholder](https://api.js.langchain.com/classes/langchain_core_prompts.MessagesPlaceholder.html) from `@langchain/core/prompts`
*   [StringOutputParser](https://api.js.langchain.com/classes/langchain_core_output_parsers.StringOutputParser.html) from `@langchain/core/output_parsers`
*   [ChatOpenAI](https://api.js.langchain.com/classes/langchain_openai.ChatOpenAI.html) from `@langchain/openai`
*   [AstraDBChatMessageHistory](https://api.js.langchain.com/classes/langchain_community_stores_message_astradb.AstraDBChatMessageHistory.html) from `@langchain/community/stores/message/astradb`

* * *

#### Help us out by providing feedback on this documentation page:

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