llama-stack-mirror/llama_stack/providers/remote
Hardik Shah d55100d9b7
feat: OpenAIVectorIOMixin for vector_stores common logic (#2427)
Extracts common OpenAI vector-store code into its own mixin so that all
providers can share the same core logic.
This also makes it easy for Llama Stack to support both vector-stores
and Llama Stack APIs in the interim so that both share the same
underlying vector-dbs.

Each provider contains storage specific logic to `create / edit / delete
/ list` vector dbs while the plumbing logic is standardized in the
common code.

Ensured that this works well with both faiss and sqllite-vec. 

### Test Plan 
```
llama stack run starter
pytest -sv --stack-config http://localhost:8321 tests/integration/vector_io/test_openai_vector_stores.py --embedding-model all-MiniLM-L6-v2
```
2025-06-11 15:40:57 -07:00
..
agents test: add unit test to ensure all config types are instantiable (#1601) 2025-03-12 22:29:58 -07:00
datasetio chore(refact): move paginate_records fn outside of datasetio (#2137) 2025-05-12 10:56:14 -07:00
eval chore: enable pyupgrade fixes (#1806) 2025-05-01 14:23:50 -07:00
inference feat: To add health status check for remote VLLM (#2303) 2025-06-06 15:33:12 -04:00
post_training fix: Pass model parameter as config name to NeMo Customizer (#2218) 2025-05-20 09:51:39 -07:00
safety feat(providers): sambanova safety provider (#2221) 2025-05-21 15:33:02 -07:00
tool_runtime fix: match mcp headers in provider data to Responses API shape (#2263) 2025-05-25 14:33:10 -07:00
vector_io feat: OpenAIVectorIOMixin for vector_stores common logic (#2427) 2025-06-11 15:40:57 -07:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00