feat: add Grok API support in llm_adapters and config_tab UI

.gitignore

@@ -11,3 +11,4 @@ config.json
 config_test.json
 /novel_generator/__pycache__
 /ui/__pycache__
+.idea/

llm_adapters.py

@@ -3,8 +3,10 @@
 import logging
 from typing import Optional
 from langchain_openai import ChatOpenAI, AzureChatOpenAI
-from google import genai
-from google.genai import types
+# from google import genai
+import google.generativeai as genai
+# from google.genai import types
+from google.generativeai import types
 from azure.ai.inference import ChatCompletionsClient
 from azure.core.credentials import AzureKeyCredential
 from azure.ai.inference.models import SystemMessage, UserMessage
@@ -338,6 +340,45 @@ class SiliconFlowAdapter(BaseLLMAdapter):
         except Exception as e:
             logging.error(f"硅基流动API调用超时或失败: {e}")
             return ""
+# grok實現
+class GrokAdapter(BaseLLMAdapter):
+    """
+    适配 xAI Grok API
+    """
+    def __init__(self, api_key: str, base_url: str, model_name: str, max_tokens: int, temperature: float = 0.7, timeout: Optional[int] = 600):
+        self.base_url = check_base_url(base_url)
+        self.api_key = api_key
+        self.model_name = model_name
+        self.max_tokens = max_tokens
+        self.temperature = temperature
+        self.timeout = timeout
+
+        self._client = OpenAI(
+            base_url=self.base_url,
+            api_key=self.api_key,
+            timeout=self.timeout
+        )
+
+    def invoke(self, prompt: str) -> str:
+        try:
+            response = self._client.chat.completions.create(
+                model=self.model_name,
+                messages=[
+                    {"role": "system", "content": "You are Grok, created by xAI."},
+                    {"role": "user", "content": prompt},
+                ],
+                max_tokens=self.max_tokens,
+                temperature=self.temperature,
+                timeout=self.timeout
+            )
+            if response and response.choices:
+                return response.choices[0].message.content
+            else:
+                logging.warning("No response from GrokAdapter.")
+                return ""
+        except Exception as e:
+            logging.error(f"Grok API 调用失败: {e}")
+            return ""
 
 def create_llm_adapter(
     interface_format: str,
@@ -372,5 +413,7 @@ def create_llm_adapter(
         return VolcanoEngineAIAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
     elif fmt == "硅基流动":
         return SiliconFlowAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
+    elif fmt == "grok":
+        return GrokAdapter(api_key, base_url, model_name, max_tokens, temperature, timeout)
     else:
         raise ValueError(f"Unknown interface_format: {interface_format}")

ui/config_tab.py

@@ -95,6 +95,9 @@ def build_ai_config_tab(self):
             elif new_value == "硅基流动":
                 self.base_url_var.set("https://api.siliconflow.cn/v1")
                 self.model_name_var.set("deepseek-ai/DeepSeek-V3")
+            elif new_value == "Grok":
+                self.base_url_var.set("https://api.x.ai/v1")
+                self.model_name_var.set("grok-3")
 
     for i in range(7):
         self.ai_config_tab.grid_rowconfigure(i, weight=0)
@@ -114,8 +117,8 @@ def build_ai_config_tab(self):
 
     # 3) 接口格式
     create_label_with_help(self, parent=self.ai_config_tab, label_text="LLM 接口格式:", tooltip_key="interface_format", row=2, column=0, font=("Microsoft YaHei", 12))
-    # 在这里的接口选项列表中添加 "硅基流动"
-    interface_options = ["DeepSeek", "阿里云百炼", "OpenAI", "Azure OpenAI", "Azure AI", "Ollama", "ML Studio", "Gemini", "火山引擎", "硅基流动"]
+    # 在接口选项列表中添加 "Grok"
+    interface_options = ["DeepSeek", "阿里云百炼", "OpenAI", "Azure OpenAI", "Azure AI", "Ollama", "ML Studio", "Gemini", "火山引擎", "硅基流动", "Grok"]
     interface_dropdown = ctk.CTkOptionMenu(self.ai_config_tab, values=interface_options, variable=self.interface_format_var, command=on_interface_format_changed, font=("Microsoft YaHei", 12))
     interface_dropdown.grid(row=2, column=1, padx=5, pady=5, columnspan=2, sticky="nsew")
 
@@ -316,4 +319,4 @@ def save_config_btn(self):
         messagebox.showinfo("提示", "配置已保存至 config.json")
         self.log("配置已保存。")
     else:
-        messagebox.showerror("错误", "保存配置失败。")
+        messagebox.showerror("错误", "保存配置失败。")