Sébastien Han 6fa257b475 chore(lint): update Ruff ignores for project conventions and maintainability (#1184) ... - Added new ignores from flake8-bugbear (`B007`, `B008`) - Ignored `C901` (high function complexity) for now, pending review - Maintained PyTorch conventions (`N812`, `N817`) - Allowed `E731` (lambda assignments) for flexibility - Consolidated existing ignores (`E402`, `E501`, `F405`, `C408`, `N812`) - Documented rationale for each ignored rule This keeps our linting aligned with project needs while tracking potential fixes. Signed-off-by: Sébastien Han <seb@redhat.com> Signed-off-by: Sébastien Han <seb@redhat.com>		2025-02-28 09:36:49 -08:00
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anthropic	feat(providers): Groq now uses LiteLLM openai-compat (#1303)	2025-02-27 13:16:50 -08:00
bedrock	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
cerebras	fix: register provider model name and HF alias in run.yaml (#1304)	2025-02-27 16:39:23 -08:00
databricks	fix: resolve type hint issues and import dependencies (#1176)	2025-02-25 11:06:47 -08:00
fireworks	feat: add (openai, anthropic, gemini) providers via litellm (#1267)	2025-02-25 22:07:33 -08:00
gemini	feat(providers): Groq now uses LiteLLM openai-compat (#1303)	2025-02-27 13:16:50 -08:00
groq	fix: register provider model name and HF alias in run.yaml (#1304)	2025-02-27 16:39:23 -08:00
nvidia	chore(lint): update Ruff ignores for project conventions and maintainability (#1184)	2025-02-28 09:36:49 -08:00
ollama	feat(providers): support non-llama models for inference providers (#1200)	2025-02-21 13:21:28 -08:00
openai	feat(providers): Groq now uses LiteLLM openai-compat (#1303)	2025-02-27 13:16:50 -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	fix: Get builtin tool calling working in remote-vllm (#1236)	2025-02-26 15:25:47 -05:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00