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chore: indicate to mypy that InferenceProvider.rerank is concrete (#3238)
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parent
da73f1a180
commit
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6 changed files with 1 additions and 62 deletions
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@ -3,11 +3,6 @@
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from llama_stack.apis.inference import (
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OpenAIChatCompletionContentPartImageParam,
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OpenAIChatCompletionContentPartTextParam,
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RerankResponse,
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)
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from llama_stack.log import get_logger
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from llama_stack.providers.remote.inference.llama_openai_compat.config import LlamaCompatConfig
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from llama_stack.providers.utils.inference.litellm_openai_mixin import LiteLLMOpenAIMixin
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@ -59,12 +54,3 @@ class LlamaCompatInferenceAdapter(OpenAIMixin, LiteLLMOpenAIMixin):
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async def shutdown(self):
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await super().shutdown()
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async def rerank(
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self,
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model: str,
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query: str | OpenAIChatCompletionContentPartTextParam | OpenAIChatCompletionContentPartImageParam,
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items: list[str | OpenAIChatCompletionContentPartTextParam | OpenAIChatCompletionContentPartImageParam],
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max_num_results: int | None = None,
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) -> RerankResponse:
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raise NotImplementedError("Reranking is not supported for Llama OpenAI Compat")
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@ -37,14 +37,11 @@ from llama_stack.apis.inference import (
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Message,
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OpenAIChatCompletion,
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OpenAIChatCompletionChunk,
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OpenAIChatCompletionContentPartImageParam,
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OpenAIChatCompletionContentPartTextParam,
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OpenAICompletion,
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OpenAIEmbeddingsResponse,
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OpenAIEmbeddingUsage,
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OpenAIMessageParam,
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OpenAIResponseFormatParam,
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RerankResponse,
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ResponseFormat,
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SamplingParams,
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TextTruncation,
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@ -644,15 +641,6 @@ class OllamaInferenceAdapter(
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):
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raise NotImplementedError("Batch chat completion is not supported for Ollama")
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async def rerank(
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self,
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model: str,
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query: str | OpenAIChatCompletionContentPartTextParam | OpenAIChatCompletionContentPartImageParam,
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items: list[str | OpenAIChatCompletionContentPartTextParam | OpenAIChatCompletionContentPartImageParam],
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max_num_results: int | None = None,
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) -> RerankResponse:
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raise NotImplementedError("Reranking is not supported for Ollama")
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async def convert_message_to_openai_dict_for_ollama(message: Message) -> list[dict]:
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async def _convert_content(content) -> dict:
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@ -39,15 +39,12 @@ from llama_stack.apis.inference import (
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Message,
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ModelStore,
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OpenAIChatCompletion,
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OpenAIChatCompletionContentPartImageParam,
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OpenAIChatCompletionContentPartTextParam,
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OpenAICompletion,
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OpenAIEmbeddingData,
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OpenAIEmbeddingsResponse,
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OpenAIEmbeddingUsage,
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OpenAIMessageParam,
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OpenAIResponseFormatParam,
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RerankResponse,
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ResponseFormat,
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SamplingParams,
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TextTruncation,
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@ -736,12 +733,3 @@ class VLLMInferenceAdapter(Inference, ModelsProtocolPrivate):
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logprobs: LogProbConfig | None = None,
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):
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raise NotImplementedError("Batch chat completion is not supported for vLLM")
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async def rerank(
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self,
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model: str,
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query: str | OpenAIChatCompletionContentPartTextParam | OpenAIChatCompletionContentPartImageParam,
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items: list[str | OpenAIChatCompletionContentPartTextParam | OpenAIChatCompletionContentPartImageParam],
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max_num_results: int | None = None,
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) -> RerankResponse:
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raise NotImplementedError("Reranking is not supported for vLLM")
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