InMemoryChatMessageHistory#
- class langchain_core.chat_history.InMemoryChatMessageHistory[source]#
Bases:
BaseChatMessageHistory
,BaseModel
In memory implementation of chat message history.
Stores messages in a memory list.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- param messages: list[BaseMessage] [Optional]#
A list of messages stored in memory.
- async aadd_messages(messages: Sequence[BaseMessage]) None [source]#
Async add messages to the store.
- Parameters:
messages (Sequence[BaseMessage]) – The messages to add.
- Return type:
None
- add_ai_message(message: 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 (AIMessage | str) – The AI message to add.
- Return type:
None
- add_message(message: BaseMessage) None [source]#
Add a self-created message to the store.
- Parameters:
message (BaseMessage) – The message to add.
- Return type:
None
- add_messages(messages: Sequence[BaseMessage]) None #
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: 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 (HumanMessage | str) – The human message to add to the store.
- Return type:
None
- async aget_messages() list[BaseMessage] [source]#
Async version of getting messages.
Can over-ride this method to provide an efficient async implementation. In general, fetching messages may involve IO to the underlying persistence layer.
- Returns:
List of messages.
- Return type:
list[BaseMessage]
Examples using InMemoryChatMessageHistory