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feat(registry): more flexible model lookup
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1 changed files with 31 additions and 10 deletions
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@ -36,10 +36,23 @@ class ModelsRoutingTable(CommonRoutingTableImpl, Models):
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return OpenAIListModelsResponse(data=openai_models)
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async def get_model(self, model_id: str) -> Model:
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# first try to get the model by identifier
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# this works if model_id is an alias or is of the form provider_id/provider_model_id
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model = await self.get_object_by_identifier("model", model_id)
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if model is None:
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if model is not None:
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return model
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# if not found, this means model_id is an unscoped provider_model_id, we need
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# to iterate (given a lack of an efficient index on the KVStore)
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models = await self.get_all_with_type("model")
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matching_models = [m for m in models if m.provider_resource_id == model_id]
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if len(matching_models) == 0:
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raise ValueError(f"Model '{model_id}' not found")
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return model
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if len(matching_models) > 1:
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raise ValueError(f"Multiple providers found for '{model_id}': {[m.provider_id for m in matching_models]}")
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return matching_models[0]
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async def register_model(
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self,
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@ -49,24 +62,32 @@ class ModelsRoutingTable(CommonRoutingTableImpl, Models):
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metadata: dict[str, Any] | None = None,
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model_type: ModelType | None = None,
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) -> Model:
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if provider_model_id is None:
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provider_model_id = model_id
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if provider_id is None:
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# If provider_id not specified, use the only provider if it supports this model
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if len(self.impls_by_provider_id) == 1:
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provider_id = list(self.impls_by_provider_id.keys())[0]
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else:
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raise ValueError(
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f"No provider specified and multiple providers available. Please specify a provider_id. Available providers: {self.impls_by_provider_id.keys()}"
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f"Please specify a provider_id for model {model_id} since multiple providers are available: {self.impls_by_provider_id.keys()}"
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)
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if metadata is None:
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metadata = {}
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if model_type is None:
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model_type = ModelType.llm
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provider_model_id = provider_model_id or model_id
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metadata = metadata or {}
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model_type = model_type or ModelType.llm
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if "embedding_dimension" not in metadata and model_type == ModelType.embedding:
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raise ValueError("Embedding model must have an embedding dimension in its metadata")
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# an identifier different than provider_model_id implies it is an alias, so that
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# becomes the globally unique identifier. otherwise provider_model_ids can conflict,
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# so as a general rule we must use the provider_id to disambiguate.
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if model_id != provider_model_id:
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identifier = model_id
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else:
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identifier = f"{provider_id}/{provider_model_id}"
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model = ModelWithOwner(
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identifier=model_id,
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identifier=identifier,
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provider_resource_id=provider_model_id,
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provider_id=provider_id,
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metadata=metadata,
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