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- StaticEmbedder: pre-trained ConceptNet Numberbatch/fastText word embeddings, auto-download with TF-IDF fallback, comma-separated multi-model paths - CleanTemplateText: regex stripping of QQ tool call templates and noise - textForVector: per-source vector strategy (agent→Response, user→Input, cold_storage→both) - Indexer.BuildContext and ExtractKeywords now clean input before vectorization - Protect recent 10 events in Prune (regression fix: use local var not const)