feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin

- remove auto-download of ollama embedding models
- add embedding model metadata to dynamic listing w/ unit test
- add support and tests for allowed_models
- removed inference provider models.py files where dynamic listing is enabled
- store embedding metadata in embedding_model_metadata field on inference providers
- make model_entries optional on ModelRegistryHelper and LiteLLMOpenAIMixin
- make OpenAIMixin a ModelRegistryHelper
- skip base64 embedding test for remote::ollama, always returns floats
- only use OpenAI client for ollama model listing
- remove unused build_model_entry function
- remove unused get_huggingface_repo function
This commit is contained in:
Matthew Farrellee 2025-09-25 04:56:54 -04:00
parent a50b63906c
commit 466ef6f490
43 changed files with 370 additions and 1016 deletions

View file

@ -84,14 +84,14 @@ def unknown_model() -> Model:
@pytest.fixture
def helper(known_provider_model: ProviderModelEntry, known_provider_model2: ProviderModelEntry) -> ModelRegistryHelper:
return ModelRegistryHelper([known_provider_model, known_provider_model2])
return ModelRegistryHelper(model_entries=[known_provider_model, known_provider_model2])
class MockModelRegistryHelperWithDynamicModels(ModelRegistryHelper):
"""Test helper that simulates a provider with dynamically available models."""
def __init__(self, model_entries: list[ProviderModelEntry], available_models: list[str]):
super().__init__(model_entries)
super().__init__(model_entries=model_entries)
self._available_models = available_models
async def check_model_availability(self, model: str) -> bool: