chore: 添加虚拟环境到仓库

- 添加 backend_service/venv 虚拟环境
- 包含所有Python依赖包
- 注意：虚拟环境约393MB，包含12655个文件

backend_service/venv/lib/python3.13/site-packages/dashscope/rerank/text_rerank.py

@@ -0,0 +1,69 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+
+from typing import List
+
+from dashscope.api_entities.dashscope_response import ReRankResponse
+from dashscope.client.base_api import BaseApi
+from dashscope.common.error import InputRequired, ModelRequired
+from dashscope.common.utils import _get_task_group_and_task
+
+
+class TextReRank(BaseApi):
+    task = 'text-rerank'
+    """API for rerank models.
+
+    """
+    class Models:
+        gte_rerank = 'gte-rerank'
+
+    @classmethod
+    def call(cls,
+             model: str,
+             query: str,
+             documents: List[str],
+             return_documents: bool = None,
+             top_n: int = None,
+             api_key: str = None,
+             **kwargs) -> ReRankResponse:
+        """Calling rerank service.
+
+        Args:
+            model (str): The model to use.
+            query (str): The query string.
+            documents (List[str]): The documents to rank.
+            return_documents(bool, `optional`): enable return origin documents,
+                system default is false.
+            top_n(int, `optional`): how many documents to return, default return
+                all the documents.
+            api_key (str, optional): The DashScope api key. Defaults to None.
+
+        Raises:
+            InputRequired: The query and documents are required.
+            ModelRequired: The model is required.
+
+        Returns:
+            RerankResponse: The rerank result.
+        """
+
+        if query is None or documents is None or not documents:
+            raise InputRequired('query and documents are required!')
+        if model is None or not model:
+            raise ModelRequired('Model is required!')
+        task_group, function = _get_task_group_and_task(__name__)
+        input = {'query': query, 'documents': documents}
+        parameters = {}
+        if return_documents is not None:
+            parameters['return_documents'] = return_documents
+        if top_n is not None:
+            parameters['top_n'] = top_n
+        parameters = {**parameters, **kwargs}
+
+        response = super().call(model=model,
+                                task_group=task_group,
+                                task=TextReRank.task,
+                                function=function,
+                                api_key=api_key,
+                                input=input,
+                                **parameters)
+
+        return ReRankResponse.from_api_response(response)