skamenan7 6634b21a76 Merge upstream/main and resolve conflicts ... Resolved merge conflicts in: - Documentation files: updated vector IO provider docs to include both kvstore fields and embedding model configuration - Config files: merged kvstore requirements from upstream with embedding model fields - Dependencies: updated to latest client versions while preserving llama-models dependency - Regenerated lockfiles to ensure consistency All embedding model configuration features preserved while incorporating upstream changes.		2025-07-16 19:57:02 -04:00
..
agent	chore: default to pytest asyncio-mode=auto (#2730)	2025-07-11 13:00:24 -07:00
agents	chore: default to pytest asyncio-mode=auto (#2730)	2025-07-11 13:00:24 -07:00
inference	chore: block network access from unit tests (#2732)	2025-07-12 16:53:54 -07:00
nvidia	chore: remove vision model URL workarounds and simplify client creation (#2775)	2025-07-16 07:10:04 -07:00
utils	Add configurable embedding models for vector IO providers	2025-07-15 16:46:40 -04:00
vector_io	fix: SQLiteVecIndex.create(..., bank_id="test_bank.123") - bank_id with a dot - leads to sqlite3.OperationalError (#2770) (#2771)	2025-07-16 08:25:44 -07:00
test_configs.py	feat(api): don't return a payload on file delete (#1640)	2025-03-25 17:12:36 -07:00