diff --git a/.env.example b/.env.example
index 74b7877..9f9c7df 100644
--- a/.env.example
+++ b/.env.example
@@ -9,7 +9,7 @@
 
 # 智谱 AI API 密钥（用于在线模型调用 GLM-4.7-Flash）
 # 获取地址: https://open.bigmodel.cn/
-ZHIPUAI_API_KEY=your_zhipuai_api_key_here
+ZHIPUAI_API_KEY=4d568a4367f1442bbc226cc0daf84566.44SsKVWkVIM2Mkeg
 
 # 本地 vLLM 服务认证 Token（用于本地 Gemma 模型调用）
 # 如果使用本地 vLLM 容器，需要设置此值与 vLLM 容器的 --api-key 参数一致
diff --git a/.gitea/workflows/deploy.yml b/.gitea/workflows/deploy.yml
index 8b0cfa4..df2ad55 100644
--- a/.gitea/workflows/deploy.yml
+++ b/.gitea/workflows/deploy.yml
@@ -16,6 +16,29 @@ jobs:
         run: |
           python3 --version
           pip3 --version
+
+      - name: 验证 Secrets 配置
+        run: |
+          echo "🔐 检查环境变量注入情况..."
+          
+          if [ -n "$ZHIPUAI_API_KEY" ]; then
+            echo "✅ ZHIPUAI_API_KEY 已注入（长度：${#ZHIPUAI_API_KEY}）"
+          else
+            echo "⚠️  ZHIPUAI_API_KEY 未注入（将使用空值，智谱模型不可用）"
+          fi
+          
+          if [ -n "$VLLM_LOCAL_KEY" ]; then
+            echo "✅ VLLM_LOCAL_KEY 已注入（长度：${#VLLM_LOCAL_KEY}）"
+          else
+            echo "⚠️  VLLM_LOCAL_KEY 未注入（将使用空值，本地模型不可用）"
+          fi
+          
+          echo ""
+          echo "💡 提示：如果看到警告，请在 Gitea 仓库 Settings → Actions → Secrets 中添加对应密钥"
+        env:
+          ZHIPUAI_API_KEY: ${{ secrets.ZHIPUAI_API_KEY }}
+          VLLM_LOCAL_KEY: ${{ secrets.VLLM_LOCAL_KEY }}
+
       - name: 确保基础镜像已拉取
         run: |
          docker pull python:3.11-slim || true
@@ -34,7 +57,7 @@ jobs:
           echo "等待后端服务启动..."
           sleep 15
           for i in {1..10}; do
-            if curl -f http://localhost:8001/ > /dev/null 2>&1; then
+            if curl -f http://localhost:8001/health > /dev/null 2>&1; then
               echo "✅ 后端服务正常"
               exit 0
             fi
diff --git a/app/backend.py b/app/backend.py
index 0df0c2e..2e7dc61 100644
--- a/app/backend.py
+++ b/app/backend.py
@@ -54,6 +54,13 @@ app.add_middleware(
 )
 
 
+# ========== 健康检查端点 ==========
+@app.get("/health")
+async def health_check():
+    """健康检查端点，用于 Docker 和 CI/CD 监控"""
+    return {"status": "ok", "service": "ai-agent-backend"}
+
+
 # ========== Pydantic 模型 ==========
 class ChatRequest(BaseModel):
     message: str