3 commits

Author	SHA1	Message	Date
Sébastien Han	803bf0e029	fix: solve ruff B008 warnings (#1444) ... # What does this PR do? The commit addresses the Ruff warning B008 by refactoring the code to avoid calling SamplingParams() directly in function argument defaults. Instead, it either uses Field(default_factory=SamplingParams) for Pydantic models or sets the default to None and instantiates SamplingParams inside the function body when the argument is None. Signed-off-by: Sébastien Han <seb@redhat.com>	2025-03-06 16:48:35 -08:00
Ashwin Bharambe	81ce39a607	feat(api): Add options for supporting various embedding models (#1192) ... We need to support: - asymmetric embedding models (#934) - truncation policies (#933) - varying dimensional output (#932) ## Test Plan ```bash $ cd llama_stack/providers/tests/inference $ pytest -s -v -k fireworks test_embeddings.py \ --inference-model nomic-ai/nomic-embed-text-v1.5 --env EMBEDDING_DIMENSION=784 $ pytest -s -v -k together test_embeddings.py \ --inference-model togethercomputer/m2-bert-80M-8k-retrieval --env EMBEDDING_DIMENSION=784 $ pytest -s -v -k ollama test_embeddings.py \ --inference-model all-minilm:latest --env EMBEDDING_DIMENSION=784 ```	2025-02-20 22:27:12 -08:00
Botao Chen	2b995c22eb	feat: inference passthrough provider (#1166) ... ## What does this PR do? In this PR, we implement a passthrough inference provider that works for any endpoints that respect llama stack inference API definition. ## Test Plan config some endpoint that respect llama stack inference API definition and got the inference results successfully <img width="1268" alt="Screenshot 2025-02-19 at 8 52 51 PM" src="https://github.com/user-attachments/assets/447816e4-ea7a-4365-b90c-386dc7dcf4a1" />	2025-02-19 21:47:00 -08:00