in_memory.py — langchain Source File
Architecture documentation for in_memory.py, a python file in the langchain codebase. 1 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR 39e7472c_e903_5aa5_b6ea_d60d4323a3cb["in_memory.py"] b70220ee_230d_1b24_69ea_cc9490f5f3c0["langchain_core.chat_history"] 39e7472c_e903_5aa5_b6ea_d60d4323a3cb --> b70220ee_230d_1b24_69ea_cc9490f5f3c0 style 39e7472c_e903_5aa5_b6ea_d60d4323a3cb fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
from langchain_core.chat_history import InMemoryChatMessageHistory as ChatMessageHistory
__all__ = [
"ChatMessageHistory",
]
Dependencies
- langchain_core.chat_history
Source
Frequently Asked Questions
What does in_memory.py do?
in_memory.py is a source file in the langchain codebase, written in python.
What does in_memory.py depend on?
in_memory.py imports 1 module(s): langchain_core.chat_history.
Where is in_memory.py in the architecture?
in_memory.py is located at libs/langchain/langchain_classic/memory/chat_message_histories/in_memory.py (directory: libs/langchain/langchain_classic/memory/chat_message_histories).
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free