save_context() — langchain Function Reference
Architecture documentation for the save_context() function in base_memory.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD ba1fc4a3_b990_d5eb_7843_809a5fb4ea22["save_context()"] 1f107c9a_ba73_698c_b028_96ca5ade32ec["BaseMemory"] ba1fc4a3_b990_d5eb_7843_809a5fb4ea22 -->|defined in| 1f107c9a_ba73_698c_b028_96ca5ade32ec style ba1fc4a3_b990_d5eb_7843_809a5fb4ea22 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/langchain/langchain_classic/base_memory.py lines 91–97
def save_context(self, inputs: dict[str, Any], outputs: dict[str, str]) -> None:
"""Save the context of this chain run to memory.
Args:
inputs: The inputs to the chain.
outputs: The outputs of the chain.
"""
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Frequently Asked Questions
What does save_context() do?
save_context() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/base_memory.py.
Where is save_context() defined?
save_context() is defined in libs/langchain/langchain_classic/base_memory.py at line 91.
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