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inference providers each have a static list of supported / known models. some also
have access to a dynamic list of currently available models. this change gives
prodivers using the ModelRegistryHelper the ability to combine their static and
dynamic lists.
for instance, OpenAIInferenceAdapter can implement
```
def query_available_models(self) -> list[str]:
return [entry.model for entry in self.openai_client.models.list()]
```
to augment its static list w/ a current list from openai.
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|---|---|---|
| .. | ||
| client-sdk/post_training | ||
| common | ||
| external-provider/llama-stack-provider-ollama | ||
| integration | ||
| unit | ||
| verifications | ||
| __init__.py | ||
| Containerfile | ||
| README.md | ||
Llama Stack Tests
Llama Stack has multiple layers of testing done to ensure continuous functionality and prevent regressions to the codebase.
| Testing Type | Details |
|---|---|
| Unit | unit/README.md |
| Integration | integration/README.md |
| Verification | verifications/README.md |