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feat: created dynamic model registration for openai and llama openai compat remote inference providers
fix: removed implementation of register_model() from LiteLLMOpenAIMixin, added log message to llama in query_available_models(), added llama-api-client dependency to pyproject.toml
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5 changed files with 49 additions and 14 deletions
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@ -13,7 +13,6 @@ from llama_stack.apis.common.content_types import (
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InterleavedContent,
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InterleavedContentItem,
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)
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from llama_stack.apis.common.errors import UnsupportedModelError
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from llama_stack.apis.inference import (
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ChatCompletionRequest,
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ChatCompletionResponse,
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@ -39,7 +38,6 @@ from llama_stack.apis.inference import (
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ToolDefinition,
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ToolPromptFormat,
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)
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from llama_stack.apis.models import Model
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from llama_stack.distribution.request_headers import NeedsRequestProviderData
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from llama_stack.log import get_logger
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from llama_stack.providers.utils.inference.model_registry import ModelRegistryHelper
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@ -90,12 +88,6 @@ class LiteLLMOpenAIMixin(
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async def shutdown(self):
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pass
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async def register_model(self, model: Model) -> Model:
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model_id = self.get_provider_model_id(model.provider_resource_id)
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if model_id is None:
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raise UnsupportedModelError(model.provider_resource_id, self.alias_to_provider_id_map.keys())
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return model
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def get_litellm_model_name(self, model_id: str) -> str:
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# users may be using openai/ prefix in their model names. the openai/models.py did this by default.
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# model_id.startswith("openai/") is for backwards compatibility.
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