update:server连接api (#747)

* update:server连接manager-api

* update:读取智能体模型配置

* update:添加默认模型的按钮

* update:优化配置读取方式

* update：server兼容manager接口改造

* update:优化私有配置加载

* update:加载私有模型配置

main/xiaozhi-server/core/providers/llm/openai/openai.py

@@ -11,7 +11,7 @@ class LLMProvider(LLMProviderBase):
     def __init__(self, config):
         self.model_name = config.get("model_name")
         self.api_key = config.get("api_key")
-        if 'base_url' in config:
+        if "base_url" in config:
             self.base_url = config.get("base_url")
         else:
             self.base_url = config.get("url")
@@ -33,18 +33,22 @@ class LLMProvider(LLMProviderBase):
             for chunk in responses:
                 try:
                     # 检查是否存在有效的choice且content不为空
-                    delta = chunk.choices[0].delta if getattr(chunk, 'choices', None) else None
-                    content = delta.content if hasattr(delta, 'content') else ''
+                    delta = (
+                        chunk.choices[0].delta
+                        if getattr(chunk, "choices", None)
+                        else None
+                    )
+                    content = delta.content if hasattr(delta, "content") else ""
                 except IndexError:
-                    content = ''
+                    content = ""
                 if content:
                     # 处理标签跨多个chunk的情况
-                    if '<think>' in content:
+                    if "<think>" in content:
                         is_active = False
-                        content = content.split('<think>')[0]
-                    if '</think>' in content:
+                        content = content.split("<think>")[0]
+                    if "</think>" in content:
                         is_active = True
-                        content = content.split('</think>')[-1]
+                        content = content.split("</think>")[-1]
                     if is_active:
                         yield content
 
@@ -54,10 +58,7 @@ class LLMProvider(LLMProviderBase):
     def response_with_functions(self, session_id, dialogue, functions=None):
         try:
             stream = self.client.chat.completions.create(
-                model=self.model_name,
-                messages=dialogue,
-                stream=True,
-                tools=functions
+                model=self.model_name, messages=dialogue, stream=True, tools=functions
             )
 
             for chunk in stream: