skamenan7 32930868de tightened vector store embedding model validation ... includes: - require models to exist in registry before use - make default_embedding_dimension mandatory when setting default model - use first available model fallback instead of hardcoded all-MiniLM-L6-v2 - add tests for error cases and update docs		2025-09-18 10:51:50 -04:00
..
apis	Replace MissingEmbeddingModelError with IBM Granite default	2025-09-18 10:11:44 -04:00
cli	feat: migrate to FIPS-validated cryptographic algorithms (#3423)	2025-09-12 11:18:19 +02:00
core	tightened vector store embedding model validation	2025-09-18 10:51:50 -04:00
distributions	feat(vector-io): implement global default embedding model configuration (Issue #2729)	2025-09-18 10:11:44 -04:00
models	refactor(logging): rename llama_stack logger categories (#3065)	2025-08-21 17:31:04 -07:00
providers	feat: combine ProviderSpec datatypes (#3378)	2025-09-18 16:10:00 +02:00
strong_typing	chore: enable pyupgrade fixes (#1806)	2025-05-01 14:23:50 -07:00
testing	chore(recorder): update mocks to be closer to non-mock environment (#3442)	2025-09-15 15:25:53 -04:00
ui	build: Bump version to 0.2.22	2025-09-16 19:44:03 +00:00
__init__.py	chore(rename): move llama_stack.distribution to llama_stack.core (#2975)	2025-07-30 23:30:53 -07:00
env.py	refactor(test): move tools, evals, datasetio, scoring and post training tests (#1401)	2025-03-04 14:53:47 -08:00
log.py	chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061)	2025-08-20 07:15:35 -04:00
schema_utils.py	feat(auth): API access control (#2822)	2025-07-24 15:30:48 -07:00