langchain.memory.chat_message_histories.dynamodb.DynamoDBChatMessageHistory¶
class langchain.memory.chat_message_histories.dynamodb.DynamoDBChatMessageHistory(table_name: str, session_id: str, endpoint_url: Optional[str] = None, primary_key_name: str = 'SessionId', key: Optional[Dict[str, str]] = None, boto3_session: Optional[Session] = None, kms_key_id: Optional[str] = None)[source]¶
Chat message history that stores history in AWS DynamoDB.
This class expects that a DynamoDB table exists with name table_name
Parameters
table_name – name of the DynamoDB table
session_id – arbitrary key that is used to store the messages
of a single chat session.
endpoint_url – URL of the AWS endpoint to connect to. This argument
is optional and useful for test purposes, like using Localstack.
If you plan to use AWS cloud service, you normally don’t have to
worry about setting the endpoint_url.
primary_key_name – name of the primary key of the DynamoDB table. This argument
is optional, defaulting to “SessionId”.
key – an optional dictionary with a custom primary and secondary key.
This argument is optional, but useful when using composite dynamodb keys, or
isolating records based off of application details such as a user id.
This may also contain global and local secondary index keys.
kms_key_id – an optional AWS KMS Key ID, AWS KMS Key ARN, or AWS KMS Alias for
client-side encryption
Attributes
messages
Retrieve the messages from DynamoDB
Methods
__init__(table_name, session_id[, ...])
add_ai_message(message)
Convenience method for adding an AI message string to the store.
add_message(message)
Append the message to the record in DynamoDB
add_user_message(message)