3 Commits

Author	SHA1	Message	Date
ZhenYi	bfdb934443	feat(embed): add chunked embedding, batch memory embed, and tag vectorization support ... - chunk_text(): char-boundary-safe text chunking at paragraph/sentence breaks (7000 char limit) - embed_memories_batch(): groups messages by room, batch-embeds all texts to reduce Qdrant calls - embed_issue_chunked(): auto-chunks long issue bodies - embed_skill(): upgraded with auto-chunking via chunk_text - TagEmbedInput struct for batch tag embedding - embed_tags_batch() / search_tags() with project isolation - ensure_collections() now creates embed_repo_tag collection	2026-04-28 13:03:51 +08:00
ZhenYi	10c0cc007b	refactor(agent): split into submodules and add Qdrant embedding ... - Split agent crate into client/, model/, agent/ subdirs - Add billing.rs for token usage recording - Add sync.rs for upstream model sync - EmbedService: Qdrant-backed vector memory for semantic search - ChatService: wire EmbedService for memory lookup, passive skill awareness - ReAct loop: streamline with tokio::select! and proper error handling	2026-04-25 20:09:33 +08:00
ZhenYi	93cfff9738	init	2026-04-15 09:08:09 +08:00