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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 |
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Unit | unit/README.md |
Integration | integration/README.md |
Verification | verifications/README.md |