v1.3.0: 舆情驱动自动化(定期扫新闻→重要度评分→邮件通知) + 系统设置区(邮件SMTP/大模型接口/监控参数可配, 含测试邮件/测试LLM/立即扫描/通知日志)

engine/analyst.py

@@ -23,18 +23,21 @@ _jobs_lock = threading.Lock()
 
 # ------------------------------------------------------------------ LLM
 def llm_chat(messages, max_tokens=None, temperature=None, timeout=None):
-    """调用 DeepSeek（OpenAI 兼容）。返回最终 content（忽略推理过程）"""
+    """调用 DeepSeek（OpenAI 兼容）。返回最终 content（忽略推理过程）
+    模型/Key/地址从设置区读取（settings 覆盖 config 默认）"""
+    from settings import llm_config
+    cfg = llm_config()
     resp = requests.post(
-        f"{LLM_BASE_URL}/chat/completions",
-        headers={"Authorization": f"Bearer {LLM_API_KEY}"},
+        f"{cfg['base_url']}/chat/completions",
+        headers={"Authorization": f"Bearer {cfg['api_key']}"},
         json={
-            "model": LLM_MODEL,
+            "model": cfg["model"],
             "messages": messages,
-            "max_tokens": max_tokens or LLM_MAX_TOKENS,
-            "temperature": LLM_TEMPERATURE if temperature is None else temperature,
+            "max_tokens": max_tokens or cfg["max_tokens"],
+            "temperature": cfg["temperature"] if temperature is None else temperature,
             "stream": False,
         },
-        timeout=timeout or LLM_TIMEOUT,
+        timeout=timeout or cfg["timeout"],
     )
     resp.raise_for_status()
     data = resp.json()