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v0.0.6
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Added
Configurable embedding model per client via the --model <name> CLI flag and CDS_MCP_MODEL environment variable
Capire-versioned embeddings with local manifest resolution
Per-chunk metadata in searchMarkdownDocs output
Changed
Changed the default embedding model from Xenova/all-MiniLM-L6-v2 to sentence-transformers/all-MiniLM-L6-v2
Switched to CAP AI SQLite VECTOR_EMBEDDING
Improved search_docs query param description
Replaced background model polling and CDS_MCP_REFRESH_MS with request-driven model and configuration refresh
Fixed
Blank Cache-Control/Pragma so conditional GET can 304, avoiding a full re-download of the embeddings bundle on every startup
Isolated project model caches and CAP compiler/global state across requests
Preserved transitive model imports for explicitly trusted direct CLI projects
Prevented rejected MCP model compilations from exposing out-of-root diagnostics
Refreshed cached models after changes to CAP project configuration
Restricted MCP model access to advertised workspace roots, including symlink and resolved-source validation
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