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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/groq/groq.py
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@ -9,8 +9,6 @@ from llama_stack.providers.remote.inference.groq.config import GroqConfig
from llama_stack.providers.utils.inference.litellm_openai_mixin import LiteLLMOpenAIMixin
from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
from .models import MODEL_ENTRIES
class GroqInferenceAdapter(OpenAIMixin, LiteLLMOpenAIMixin):
_config: GroqConfig
@ -18,7 +16,6 @@ class GroqInferenceAdapter(OpenAIMixin, LiteLLMOpenAIMixin):
def __init__(self, config: GroqConfig):
LiteLLMOpenAIMixin.__init__(
self,
model_entries=MODEL_ENTRIES,
litellm_provider_name="groq",
api_key_from_config=config.api_key,
provider_data_api_key_field="groq_api_key",