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chore: turn OpenAIMixin into a pydantic.BaseModel
- implement get_api_key instead of relying on LiteLLMOpenAIMixin.get_api_key - remove use of LiteLLMOpenAIMixin - add default initialize/shutdown methods to OpenAIMixin - remove __init__s to allow proper pydantic construction - remove dead code from vllm adapter and associated / duplicate unit tests - update vllm adapter to use openaimixin for model registration - remove ModelRegistryHelper from fireworks & together adapters - remove Inference from nvidia adapter - complete type hints on embedding_model_metadata - allow extra fields on OpenAIMixin, for model_store, __provider_id__, etc - new recordings for ollama
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57 changed files with 12520 additions and 1254 deletions
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# the root directory of this source tree.
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from llama_stack.providers.utils.inference.litellm_openai_mixin import LiteLLMOpenAIMixin
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from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
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from .config import SambaNovaImplConfig
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class SambaNovaInferenceAdapter(OpenAIMixin, LiteLLMOpenAIMixin):
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class SambaNovaInferenceAdapter(OpenAIMixin):
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config: SambaNovaImplConfig
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provider_data_api_key_field: str = "sambanova_api_key"
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download_images: bool = True # SambaNova does not support image downloads server-size, perform them on the client
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"""
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SambaNova Inference Adapter for Llama Stack.
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Note: The inheritance order is important here. OpenAIMixin must come before
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LiteLLMOpenAIMixin to ensure that OpenAIMixin.check_model_availability()
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is used instead of LiteLLMOpenAIMixin.check_model_availability().
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- OpenAIMixin.check_model_availability() queries the /v1/models to check if a model exists
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- LiteLLMOpenAIMixin.check_model_availability() checks the static registry within LiteLLM
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"""
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def __init__(self, config: SambaNovaImplConfig):
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self.config = config
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self.environment_available_models: list[str] = []
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LiteLLMOpenAIMixin.__init__(
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self,
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litellm_provider_name="sambanova",
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api_key_from_config=self.config.api_key.get_secret_value() if self.config.api_key else None,
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provider_data_api_key_field="sambanova_api_key",
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openai_compat_api_base=self.config.url,
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download_images=True, # SambaNova requires base64 image encoding
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json_schema_strict=False, # SambaNova doesn't support strict=True yet
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)
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# Delegate the client data handling get_api_key method to LiteLLMOpenAIMixin
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get_api_key = LiteLLMOpenAIMixin.get_api_key
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def get_api_key(self) -> str:
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return self.config.api_key.get_secret_value() if self.config.api_key else ""
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def get_base_url(self) -> str:
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"""
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