Matthew Farrellee 521865c388 feat: include all models from provider's /v1/models (#3471) ... # What does this PR do? this replaces the static model listing for any provider using OpenAIMixin currently - - anthropic - azure openai - gemini - groq - llama-api - nvidia - openai - sambanova - tgi - vertexai - vllm - not changed: together has its own impl ## Test Plan - new unit tests - manual for llama-api, openai, groq, gemini ``` for provider in llama-openai-compat openai groq gemini; do uv run llama stack build --image-type venv --providers inference=remote::provider --run & uv run --with llama-stack-client llama-stack-client models list | grep Total ``` results (17 sep 2025): - llama-api: 4 - openai: 86 - groq: 21 - gemini: 66 closes #3467		2025-09-18 05:17:11 -04:00
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__init__.py	chore: enable pyupgrade fixes (#1806)	2025-05-01 14:23:50 -07:00
embedding_mixin.py	fix: Make SentenceTransformer embedding operations non-blocking (#3335)	2025-09-04 13:58:41 -04:00
inference_store.py	fix(inference_store): on duplicate chat completion IDs, replace (#3408)	2025-09-10 14:34:18 -07:00
litellm_openai_mixin.py	chore: indicate to mypy that InferenceProvider.batch_completion/batch_chat_completion is concrete (#3239)	2025-08-22 14:17:30 -07:00
model_registry.py	refactor(logging): rename llama_stack logger categories (#3065)	2025-08-21 17:31:04 -07:00
openai_compat.py	refactor(logging): rename llama_stack logger categories (#3065)	2025-08-21 17:31:04 -07:00
openai_mixin.py	feat: include all models from provider's /v1/models (#3471)	2025-09-18 05:17:11 -04:00
prompt_adapter.py	refactor(logging): rename llama_stack logger categories (#3065)	2025-08-21 17:31:04 -07:00