Enable user settings customization to select the semantic model #1
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Allow users to customize the sentence-transformers model used for semantic search through environment variables. This enables users to choose different models based on their accuracy, speed, and memory requirements. Changes: - Add model_name parameter to Indexer class (default: all-MiniLM-L6-v2) - Store and restore model_name from cache for consistency - Add BTMCP_MODEL_NAME environment variable for configuration - Add BTMCP_ENABLE_SEMANTIC environment variable to toggle semantic search - Update SpecServer to pass model configuration through - Add comprehensive tests for model configuration and persistence - Document model customization options with comparison table Users can now use different models by setting: BTMCP_MODEL_NAME="all-mpnet-base-v2" btmcp-server This allows optimization for different use cases (speed vs accuracy).
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Allow users to customize the sentence-transformers model used for semantic search through environment variables. This enables users to choose different models based on their accuracy, speed, and memory requirements.
Changes:
Users can now use different models by setting:
BTMCP_MODEL_NAME="all-mpnet-base-v2" btmcp-server
This allows optimization for different use cases (speed vs accuracy).