fix:使用在线embedding模型时 报错 There is no current event loop in thread 'Any… (#2393)

* fix:使用在线embedding模型时 报错 There is no current event loop in thread 'AnyIO worker thread'

* 动态配置在线embbding模型

---------

Co-authored-by: fangkeke <3339698829@qq.com>

configs/model_config.py.example

@@ -96,6 +96,7 @@ ONLINE_LLM_MODEL = {
         "version": "qwen-turbo",  # 可选包括 "qwen-turbo", "qwen-plus"
         "api_key": "",  # 请在阿里云控制台模型服务灵积API-KEY管理页面创建
         "provider": "QwenWorker",
+        "embed_model": "text-embedding-v1" # embedding 模型名称
     },
 
     # 百川 API，申请方式请参考 https://www.baichuan-ai.com/home#api-enter

server/embeddings_api.py

@@ -5,7 +5,6 @@ from server.utils import BaseResponse, get_model_worker_config, list_embed_model
 from fastapi import Body
 from typing import Dict, List
 
-
 online_embed_models = list_online_embed_models()
 
 
@@ -28,9 +27,10 @@ def embed_texts(
         if embed_model in list_online_embed_models():  # 使用在线API
             config = get_model_worker_config(embed_model)
             worker_class = config.get("worker_class")
+            embed_model = config.get("embed_model")
             worker = worker_class()
             if worker_class.can_embedding():
-                params = ApiEmbeddingsParams(texts=texts, to_query=to_query)
+                params = ApiEmbeddingsParams(texts=texts, to_query=to_query, embed_model=embed_model)
                 resp = worker.do_embeddings(params)
                 return BaseResponse(**resp)
 
@@ -39,9 +39,11 @@ def embed_texts(
         logger.error(e)
         return BaseResponse(code=500, msg=f"文本向量化过程中出现错误：{e}")
 
+
 def embed_texts_endpoint(
         texts: List[str] = Body(..., description="要嵌入的文本列表", examples=[["hello", "world"]]),
-    embed_model: str = Body(EMBEDDING_MODEL, description=f"使用的嵌入模型，除了本地部署的Embedding模型，也支持在线API({online_embed_models})提供的嵌入服务。"),
+        embed_model: str = Body(EMBEDDING_MODEL,
+                                description=f"使用的嵌入模型，除了本地部署的Embedding模型，也支持在线API({online_embed_models})提供的嵌入服务。"),
         to_query: bool = Body(False, description="向量是否用于查询。有些模型如Minimax对存储/查询的向量进行了区分优化。"),
 ) -> BaseResponse:
     '''

server/model_workers/base.py

@@ -113,6 +113,9 @@ class ApiModelWorker(BaseModelWorker):
         sys.stdout = sys.__stdout__
         sys.stderr = sys.__stderr__
 
+        new_loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(new_loop)
+
         self.context_len = context_len
         self.semaphore = asyncio.Semaphore(self.limit_worker_concurrency)
         self.version = None