Module●Since v0.3

chat_message_histories

Chat message history stores a history of the message interactions in a chat.

Class hierarchy:

.. code-block::

BaseChatMessageHistory --> <name>ChatMessageHistory  # Examples: FileChatMessageHistory, PostgresChatMessageHistory

Main helpers:

.. code-block::

AIMessage, HumanMessage, BaseMessage

Classes

class

CassandraChatMessageHistory

Chat message history that is backed by Cassandra.

class

CosmosDBChatMessageHistory

Chat message history backed by Azure CosmosDB.

class

DynamoDBChatMessageHistory

Chat message history that stores history in AWS DynamoDB.

This class expects that a DynamoDB table exists with name table_name

class

FileChatMessageHistory

Chat message history that stores history in a local file.

class

FirestoreChatMessageHistory

Chat message history backed by Google Firestore.

class

KafkaChatMessageHistory

Chat message history stored in Kafka.

class

MomentoChatMessageHistory

Chat message history cache that uses Momento as a backend.

See https://gomomento.com/

class

RedisChatMessageHistory

Chat message history stored in a Redis database.

class

RocksetChatMessageHistory

Uses Rockset to store chat messages.

To use, ensure that the rockset python package installed.

class

SQLChatMessageHistory

Chat message history stored in an SQL database.

class

StreamlitChatMessageHistory

Chat message history that stores messages in Streamlit session state.

class

TiDBChatMessageHistory

Represents a chat message history stored in a TiDB database.

class

UpstashRedisChatMessageHistory

Chat message history stored in an Upstash Redis database.

class

XataChatMessageHistory

Chat message history stored in a Xata database.

class

ZepChatMessageHistory

Chat message history that uses Zep as a backend.

Recommended usage::

# Set up Zep Chat History
zep_chat_history = ZepChatMessageHistory(
    session_id=session_id,
    url=ZEP_API_URL,
    api_key=<your_api_key>,
)

# Use a standard ConversationBufferMemory to encapsulate the Zep chat history
memory = ConversationBufferMemory(
    memory_key="chat_history", chat_memory=zep_chat_history
)

Zep provides long-term conversation storage for LLM apps. The server stores, summarizes, embeds, indexes, and enriches conversational AI chat histories, and exposes them via simple, low-latency APIs.

For server installation instructions and more, see: https://docs.getzep.com/deployment/quickstart/

This class is a thin wrapper around the zep-python package. Additional Zep functionality is exposed via the zep_summary and zep_messages properties.

For more information on the zep-python package, see: https://github.com/getzep/zep-python

class

ZepCloudChatMessageHistory

Chat message history that uses Zep Cloud as a backend.

Recommended usage::

# Set up Zep Chat History
zep_chat_history = ZepChatMessageHistory(
    session_id=session_id,
    api_key=<your_api_key>,
)

# Use a standard ConversationBufferMemory to encapsulate the Zep chat history
memory = ConversationBufferMemory(
    memory_key="chat_history", chat_memory=zep_chat_history
)

Zep - Recall, understand, and extract data from chat histories. Power personalized AI experiences.

Zep is a long-term memory service for AI Assistant apps. With Zep, you can provide AI assistants with the ability to recall past conversations, no matter how distant, while also reducing hallucinations, latency, and cost.

see Zep Cloud Docs: https://help.getzep.com

This class is a thin wrapper around the zep-python package. Additional Zep functionality is exposed via the zep_summary, zep_messages and zep_facts properties.