添加对 Azure OpenAI 的支持，新增适配器并更新界面选项

llm_adapters.py

@@ -2,7 +2,7 @@
 # -*- coding: utf-8 -*-
 import logging
 from typing import Optional
-from langchain_openai import ChatOpenAI
+from langchain_openai import ChatOpenAI, AzureChatOpenAI
 
 def ensure_openai_base_url_has_v1(url: str) -> str:
     import re
@@ -77,6 +77,43 @@ class OpenAIAdapter(BaseLLMAdapter):
             return ""
         return response.content
 
+class AzureOpenAIAdapter(BaseLLMAdapter):
+    """
+    适配 Azure OpenAI 接口（使用 langchain.ChatOpenAI）
+    """
+    def __init__(self, api_key: str, base_url: str, model_name: str, max_tokens: int, temperature: float = 0.7, timeout: Optional[int] = 600):
+        import re
+        match = re.match(r'https://(.+?)/openai/deployments/(.+?)/chat/completions\?api-version=(.+)', base_url)
+        if match:
+            self.azure_endpoint = f"https://{match.group(1)}"
+            self.azure_deployment = match.group(2)
+            self.api_version = match.group(3)
+        else:
+            raise ValueError("Invalid Azure OpenAI base_url format")
+        
+        self.api_key = api_key
+        self.model_name = self.azure_deployment
+        self.max_tokens = max_tokens
+        self.temperature = temperature
+        self.timeout = timeout
+
+        self._client = AzureChatOpenAI(
+            azure_endpoint=self.azure_endpoint,
+            azure_deployment=self.azure_deployment,
+            api_version=self.api_version,
+            api_key=self.api_key,
+            max_tokens=self.max_tokens,
+            temperature=self.temperature,
+            timeout=self.timeout
+        )
+
+    def invoke(self, prompt: str) -> str:
+        response = self._client.invoke(prompt)
+        if not response:
+            logging.warning("No response from AzureOpenAIAdapter.")
+            return ""
+        return response.content
+
 class OllamaAdapter(BaseLLMAdapter):
     """
     Ollama 同样有一个 OpenAI-like /v1/chat 接口，可直接使用 ChatOpenAI。
@@ -147,6 +184,8 @@ def create_llm_adapter(
         return DeepSeekAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
     elif interface_format.lower() == "openai":
         return OpenAIAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
+    elif interface_format.lower() == "azure openai":
+        return AzureOpenAIAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
     elif interface_format.lower() == "ollama":
         return OllamaAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
     elif interface_format.lower() == "ml studio":