Sébastien Han c223b1862b fix: resolve type hint issues and import dependencies (#1176) ... # What does this PR do? - Fixed type hinting and missing imports across multiple modules. - Improved compatibility by using `TYPE_CHECKING` for conditional imports. - Updated `pyproject.toml` to enforce stricter linting. Signed-off-by: Sébastien Han <seb@redhat.com> Signed-off-by: Sébastien Han <seb@redhat.com>		2025-02-25 11:06:47 -08:00
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bedrock	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
cerebras	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
databricks	fix: resolve type hint issues and import dependencies (#1176)	2025-02-25 11:06:47 -08:00
fireworks	feat(providers): support non-llama models for inference providers (#1200)	2025-02-21 13:21:28 -08:00
groq	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
nvidia	test(client-sdk): Update embedding test types to use latest imports (#1203)	2025-02-21 08:09:17 -08:00
ollama	feat(providers): support non-llama models for inference providers (#1200)	2025-02-21 13:21:28 -08:00
passthrough	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
runpod	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
sambanova	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
sample	build: format codebase imports using ruff linter (#1028)	2025-02-13 10:06:21 -08:00
tgi	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
together	feat(providers): support non-llama models for inference providers (#1200)	2025-02-21 13:21:28 -08:00
vllm	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00