添加对 Azure OpenAI 的支持，新增适配器并更新界面选项

embedding_adapters.py

@@ -4,7 +4,7 @@ import logging
 import requests
 import traceback
 from typing import List
-from langchain_openai import OpenAIEmbeddings
+from langchain_openai import OpenAIEmbeddings, AzureOpenAIEmbeddings
 
 def ensure_openai_base_url_has_v1(url: str) -> str:
     """
@@ -46,6 +46,33 @@ class OpenAIEmbeddingAdapter(BaseEmbeddingAdapter):
     def embed_query(self, query: str) -> List[float]:
         return self._embedding.embed_query(query)
     
+class AzureOpenAIEmbeddingAdapter(BaseEmbeddingAdapter):
+    """
+    基于 AzureOpenAIEmbeddings（或兼容接口）的适配器
+    """
+    def __init__(self, api_key: str, base_url: str, model_name: str):
+        import re
+        match = re.match(r'https://(.+?)/openai/deployments/(.+?)/embeddings\?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._embedding = AzureOpenAIEmbeddings(
+            azure_endpoint=self.azure_endpoint,
+            azure_deployment=self.azure_deployment,
+            openai_api_key=api_key,
+            api_version=self.api_version,
+        )
+
+    def embed_documents(self, texts: List[str]) -> List[List[float]]:
+        return self._embedding.embed_documents(texts)
+
+    def embed_query(self, query: str) -> List[float]:
+        return self._embedding.embed_query(query)
+
 class OllamaEmbeddingAdapter(BaseEmbeddingAdapter):
     """
     其接口路径为 /api/embeddings
@@ -112,6 +139,8 @@ def create_embedding_adapter(
     """
     if interface_format.lower() == "openai":
         return OpenAIEmbeddingAdapter(api_key, base_url, model_name)
+    elif interface_format.lower() == "azure openai":
+        return AzureOpenAIEmbeddingAdapter(api_key, base_url, model_name)
     elif interface_format.lower() == "ollama":
         return OllamaEmbeddingAdapter(model_name, base_url)
     elif interface_format.lower() == "ml studio":

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":

ui.py

@@ -290,6 +290,8 @@ class NovelGeneratorGUI:
                 self.base_url_var.set("http://localhost:1234/v1")
             elif new_value == "OpenAI":
                 self.base_url_var.set("https://api.openai.com/v1")
+            elif new_value == "Azure OpenAI":
+                self.base_url_var.set("https://[az].openai.azure.com/openai/deployments/[model]/chat/completions?api-version=2024-08-01-preview")
             elif new_value == "DeepSeek":
                 self.base_url_var.set("https://api.deepseek.com/v1")
 
@@ -332,7 +334,7 @@ class NovelGeneratorGUI:
             column=0,
             font=("Microsoft YaHei", 12)
         )
-        interface_options = ["DeepSeek", "OpenAI", "Ollama", "ML Studio"]
+        interface_options = ["DeepSeek", "OpenAI", "Azure OpenAI", "Ollama", "ML Studio"]
         interface_dropdown = ctk.CTkOptionMenu(
             self.ai_config_tab,
             values=interface_options,
@@ -452,6 +454,8 @@ class NovelGeneratorGUI:
                 self.embedding_url_var.set("http://localhost:1234/v1")
             elif new_value == "OpenAI":
                 self.embedding_url_var.set("https://api.openai.com/v1")
+            elif new_value == "Azure OpenAI":
+                self.embedding_url_var.set("https://[az].openai.azure.com/openai/deployments/[model]/embeddings?api-version=2023-05-15")
             elif new_value == "DeepSeek":
                 self.embedding_url_var.set("https://api.deepseek.com/v1")
 
@@ -482,7 +486,7 @@ class NovelGeneratorGUI:
             column=0,
             font=("Microsoft YaHei", 12)
         )
-        emb_interface_options = ["DeepSeek", "OpenAI", "Ollama", "ML Studio"]
+        emb_interface_options = ["DeepSeek", "OpenAI", "Azure OpenAI", "Ollama", "ML Studio"]
         emb_interface_dropdown = ctk.CTkOptionMenu(
             self.embeddings_config_tab,
             values=emb_interface_options,