langchain_community.chat_message_histories.sql
.SQLChatMessageHistory¶
- class langchain_community.chat_message_histories.sql.SQLChatMessageHistory(session_id: str, connection_string: Optional[str] = None, table_name: str = 'message_store', session_id_field_name: str = 'session_id', custom_message_converter: Optional[BaseMessageConverter] = None, connection: Union[None, AsyncEngine, Engine, str] = None, engine_args: Optional[Dict[str, Any]] = None, async_mode: Optional[bool] = None)[source]¶
Chat message history stored in an SQL database.
Example
from langchain_core.messages import HumanMessage from langchain_community.chat_message_histories import SQLChatMessageHistory # create sync sql message history by connection_string message_history = SQLChatMessageHistory( session_id='foo', connection_string='sqlite///:memory.db' ) message_history.add_message(HumanMessage("hello")) message_history.message # create async sql message history using aiosqlite # from sqlalchemy.ext.asyncio import create_async_engine # # async_engine = create_async_engine("sqlite+aiosqlite:///memory.db") # async_message_history = SQLChatMessageHistory( # session_id='foo', connection=async_engine, # ) # await async_message_history.aadd_message(HumanMessage("hello")) # await async_message_history.aget_messages()
Initialize with a SQLChatMessageHistory instance.
- Parameters
session_id (str) – Indicates the id of the same session.
connection_string (Optional[str]) – String parameter configuration for connecting to the database.
table_name (str) – Table name used to save data.
session_id_field_name (str) – The name of field of session_id.
custom_message_converter (Optional[BaseMessageConverter]) – Custom message converter for converting database data and BaseMessage
connection (Union[None, AsyncEngine, Engine, str]) – Database connection object, which can be a string containing connection configuration, Engine object or AsyncEngine object.
engine_args (Optional[Dict[str, Any]]) – Additional configuration for creating database engines.
async_mode (Optional[bool]) – Whether it is an asynchronous connection.
Attributes
Session
Deprecated since version langchain-community==0.2.2: Use
session_maker
instead.messages
Retrieve all messages from db
Methods
__init__
(session_id[, connection_string, ...])Initialize with a SQLChatMessageHistory instance.
aadd_message
(message)Add a Message object to the store.
aadd_messages
(messages)Async add a list of messages.
aclear
()Clear session memory from db
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 db
add_messages
(messages)Add a list of messages.
add_user_message
(message)Convenience method for adding a human message string to the store.
Retrieve all messages from db
clear
()Clear session memory from db
- __init__(session_id: str, connection_string: Optional[str] = None, table_name: str = 'message_store', session_id_field_name: str = 'session_id', custom_message_converter: Optional[BaseMessageConverter] = None, connection: Union[None, AsyncEngine, Engine, str] = None, engine_args: Optional[Dict[str, Any]] = None, async_mode: Optional[bool] = None)[source]¶
Initialize with a SQLChatMessageHistory instance.
- Parameters
session_id (str) – Indicates the id of the same session.
connection_string (Optional[str]) – String parameter configuration for connecting to the database.
table_name (str) – Table name used to save data.
session_id_field_name (str) – The name of field of session_id.
custom_message_converter (Optional[BaseMessageConverter]) – Custom message converter for converting database data and BaseMessage
connection (Union[None, AsyncEngine, Engine, str]) – Database connection object, which can be a string containing connection configuration, Engine object or AsyncEngine object.
engine_args (Optional[Dict[str, Any]]) – Additional configuration for creating database engines.
async_mode (Optional[bool]) – Whether it is an asynchronous connection.
- async aadd_message(message: BaseMessage) None [source]¶
Add a Message object to the store.
- Parameters
message (BaseMessage) – A BaseMessage object to store.
- Return type
None
- async aadd_messages(messages: Sequence[BaseMessage]) None [source]¶
Async add a list of messages.
- Parameters
messages (Sequence[BaseMessage]) – A sequence of BaseMessage objects to store.
- Return type
None
- add_ai_message(message: Union[AIMessage, str]) None ¶
Convenience method for adding an AI message string to the store.
Please note that this is a convenience method. Code should favor the bulk add_messages interface instead to save on round-trips to the underlying persistence layer.
This method may be deprecated in a future release.
- Parameters
message (Union[AIMessage, str]) – The AI message to add.
- Return type
None
- add_message(message: BaseMessage) None [source]¶
Append the message to the record in db
- Parameters
message (BaseMessage) –
- Return type
None
- add_messages(messages: Sequence[BaseMessage]) None [source]¶
Add a list of messages.
Implementations should over-ride this method to handle bulk addition of messages in an efficient manner to avoid unnecessary round-trips to the underlying store.
- Parameters
messages (Sequence[BaseMessage]) – A sequence of BaseMessage objects to store.
- Return type
None
- add_user_message(message: Union[HumanMessage, str]) None ¶
Convenience method for adding a human message string to the store.
Please note that this is a convenience method. Code should favor the bulk add_messages interface instead to save on round-trips to the underlying persistence layer.
This method may be deprecated in a future release.
- Parameters
message (Union[HumanMessage, str]) – The human message to add to the store.
- Return type
None
- async aget_messages() List[BaseMessage] [source]¶
Retrieve all messages from db
- Return type
List[BaseMessage]
- get_messages() List[BaseMessage] [source]¶
- Return type
List[BaseMessage]