Standardize LLM clients and expose configurable base URLs.

MediaEngine/llms/deepseek.py

@@ -9,6 +9,8 @@ from typing import Optional, Dict, Any
 from openai import OpenAI
 from .base import BaseLLM
 
+DEFAULT_DEEPSEEK_BASE_URL = "https://api.deepseek.com"
+
 # 添加utils目录到Python路径并导入重试模块
 try:
     current_dir = os.path.dirname(os.path.abspath(__file__))
@@ -29,13 +31,14 @@ except ImportError:
 class DeepSeekLLM(BaseLLM):
     """DeepSeek LLM实现类"""
     
-    def __init__(self, api_key: Optional[str] = None, model_name: Optional[str] = None):
+    def __init__(self, api_key: Optional[str] = None, model_name: Optional[str] = None, base_url: Optional[str] = None):
         """
         初始化DeepSeek客户端
         
         Args:
             api_key: DeepSeek API密钥，如果不提供则从环境变量读取
             model_name: 模型名称，默认使用deepseek-chat
+            base_url: DeepSeek API基础地址
         """
         if api_key is None:
             api_key = os.getenv("DEEPSEEK_API_KEY")
@@ -44,10 +47,12 @@ class DeepSeekLLM(BaseLLM):
         
         super().__init__(api_key, model_name)
         
+        self.base_url = base_url or os.getenv("DEEPSEEK_BASE_URL") or DEFAULT_DEEPSEEK_BASE_URL
+        
         # 初始化OpenAI客户端，使用DeepSeek的endpoint
         self.client = OpenAI(
             api_key=self.api_key,
-            base_url="https://api.deepseek.com"
+            base_url=self.base_url
         )
         
         self.default_model = model_name or self.get_default_model()
@@ -109,5 +114,5 @@ class DeepSeekLLM(BaseLLM):
         return {
             "provider": "DeepSeek",
             "model": self.default_model,
-            "api_base": "https://api.deepseek.com"
+            "api_base": self.base_url
         }

MediaEngine/llms/gemini_llm.py

@@ -9,6 +9,8 @@ from typing import Optional, Dict, Any
 from openai import OpenAI
 from .base import BaseLLM
 
+DEFAULT_GEMINI_BASE_URL = "https://www.chataiapi.com/v1"
+
 # 添加utils目录到Python路径并导入重试模块
 try:
     current_dir = os.path.dirname(os.path.abspath(__file__))
@@ -29,13 +31,14 @@ except ImportError:
 class GeminiLLM(BaseLLM):
     """Gemini LLM实现类"""
     
-    def __init__(self, api_key: Optional[str] = None, model_name: Optional[str] = None):
+    def __init__(self, api_key: Optional[str] = None, model_name: Optional[str] = None, base_url: Optional[str] = None):
         """
         初始化Gemini客户端
         
         Args:
             api_key: Gemini API密钥，如果不提供则从环境变量读取
             model_name: 模型名称，默认使用gemini-2.5-pro
+            base_url: Gemini API基础地址
         """
         if api_key is None:
             api_key = os.getenv("GEMINI_API_KEY")
@@ -44,10 +47,12 @@ class GeminiLLM(BaseLLM):
         
         super().__init__(api_key, model_name)
         
+        self.base_url = base_url or os.getenv("GEMINI_BASE_URL") or DEFAULT_GEMINI_BASE_URL
+        
         # 初始化OpenAI客户端，使用Gemini的中转endpoint
         self.client = OpenAI(
             api_key=self.api_key,
-            base_url="https://www.chataiapi.com/v1"
+            base_url=self.base_url
         )
         
         self.default_model = model_name or self.get_default_model()
@@ -109,5 +114,5 @@ class GeminiLLM(BaseLLM):
         return {
             "provider": "Gemini",
             "model": self.default_model,
-            "api_base": "https://www.chataiapi.com/v1"
+            "api_base": self.base_url
         }