DynamoDB Chat Memory

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Node Details

• Name: DynamoDBChatMemory
• Type: DynamoDBChatMemory
• Version: 1.0
• Category: Memory

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Base Classes

• BufferMemory
• BufferMemoryExtended
• Name: DynamoDBChatMemory
• Type: DynamoDBChatMemory
• Version: 1.0
• Category: Memory

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Base Classes

• BufferMemory
• BufferMemoryExtended

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Parameters

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Credential

• Type: credential
• Credential Names: dynamodbMemoryApi
• Description: AWS credentials for DynamoDB access

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Credential

• Type: credential
• Credential Names: dynamodbMemoryApi
• Description: AWS credentials for DynamoDB access

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Inputs

1. Table Name

   • Type: string
   • Description: The name of the DynamoDB table to store chat history

2. Partition Key

   • Type: string
   • Description: The primary key for the DynamoDB table

3. Region

   • Type: string
   • Description: The AWS region where the DynamoDB table is located
   • Placeholder: us-east-1

4. Session ID (optional)

5. Session ID (optional)

   • Type: string
   • Default: ” (empty string)
   • Description: Unique identifier for the chat session. If not specified, a random ID will be used
   • Description: Unique identifier for the chat session. If not specified, a random ID will be used

6. Memory Key

7. Memory Key

   • Type: string
   • Default: ‘chat_history’
   • Default: ‘chat_history’
   • Description: Key used to store the chat history in memory

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Functionality

The DynamoDB Chat Memory node provides the following key features:

1. Initialization: Sets up the DynamoDB client and creates a BufferMemoryExtended instance with the specified parameters.

2. Message Storage: Stores chat messages (both user inputs and AI responses) in the specified DynamoDB table.

3. Message Retrieval: Fetches stored chat messages from the DynamoDB table.

4. Message Clearing: Allows clearing of all stored messages for a given session.

5. Session Management: Supports multiple chat sessions using unique session IDs.

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Usage

This node is particularly useful for applications that require persistent storage of conversation history across sessions or need to scale chat memory storage using AWS DynamoDB. It’s ideal for chatbots, virtual assistants, or any AI application that benefits from maintaining context over time or across multiple interactions.

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Implementation Details

• Uses the @aws-sdk/client-dynamodb for interacting with DynamoDB.
• Extends the BufferMemory class from LangChain for compatibility with other LangChain components.
• Implements custom methods for adding, retrieving, and clearing messages in DynamoDB.
• Supports credential management for secure AWS authentication.

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Note

Ensure that the AWS credentials provided have the necessary permissions to read from and write to the specified DynamoDB table. Also, make sure that the table structure matches the expected format for storing chat messages.