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[csmangum]

This pull request introduces a refactored approach to storing memory vectors and implements a new logging utility for better log management. The changes improve code modularity, logging configuration, and error handling.

Refactoring and Improvements to Memory Vector Storage:

• Added a new helper function store_vector to encapsulate the logic for storing vectors in the appropriate index, improving code readability and reducing redundancy in memory/embeddings/vector_store.py.
• Updated the logic for storing vectors in Short-Term Memory (STM), Intermediate Memory (IM), and Long-Term Memory (LTM) indices to use the new store_vector function. This also includes enhanced logging for better traceability.

Logging Utility Implementation:

• Introduced a new logging utility in memory/utils/logging.py with a setup_logging function to configure logging to both console and file. This includes:
  • Creating a logs directory dynamically in the current working directory.
  • Filtering out embedding-related log messages for cleaner logs.
  • Supporting both file and console handlers with different log levels and formats.

[Copilot]

Pull Request Overview

This PR refactors how memory vectors are stored and adds a new logging utility for configurable console/file logging.

• Introduces store_vector helper to centralize vector storage logic in vector_store.py.
• Updates STM/IM/LTM storage calls to use the new helper and adds detailed debug logs.
• Adds setup_logging in memory/utils/logging.py to create log directories, configure handlers, and filter messages.

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
memory/utils/logging.py	New setup_logging utility with directory creation, handlers, and filters
memory/embeddings/vector_store.py	Refactored storage paths using store_vector and enhanced tier-specific logs