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feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin (#3547)

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# What does this PR do?

- 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


## Test Plan

ci w/ new tests
This commit is contained in:
Matthew Farrellee 2025-09-25 17:17:00 -04:00 • committed by GitHub
parent a50b63906c
commit b67aef2fc4
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43 changed files with 368 additions and 1015 deletions
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llama_stack/providers/remote/inference/passthrough/passthrough.py
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@ -43,7 +43,7 @@ from .config import PassthroughImplConfig
class PassthroughInferenceAdapter(Inference):
def __init__(self, config: PassthroughImplConfig) -> None:
ModelRegistryHelper.__init__(self, [])
ModelRegistryHelper.__init__(self)
self.config = config
async def initialize(self) -> None: