Dify

import requests

url = "https://your-dify-instance/v1/chat-messages"
headers = {
    "Authorization": "Bearer YOUR_DIFY_APP_API_KEY",
    "Content-Type": "application/json"
}

payload = {
    "inputs": {},
    "query": "请用一句话介绍 GravitexAI",
    "response_mode": "streaming",
    "user": "user_123"
}

resp = requests.post(url, headers=headers, json=payload, stream=True)
for line in resp.iter_lines():
    if line:
        print(line.decode("utf-8"))

{
    "inputs": {
        "image": "data:image/jpeg;base64,...",
        "instruction": "分析这张图片中的关键信息"
    },
    "query": "请详细描述图片内容并给出业务建议"
}

开发环境:
  模型: gemini-3.5-flash      # 低成本,迭代快
  max_tokens: 1000
  temperature: 0.7

生产环境:
  模型: claude-opus-4-7        # 旗舰智能,稳定可靠
  max_tokens: 2000
  temperature: 0.3
  fallback: gpt-5.5            # GravitexAI 自动故障转移

# 角色定义
你是一个专业的[具体角色]

# 任务说明
请帮助用户完成 [具体任务]

# 输出格式
1. 概述(<= 100 字)
2. 详细分析(分点列出)
3. 行动建议

# 约束条件
- 准确客观,有不确定时明确说明
- 控制在 500 字内
- 使用简体中文

缓存设置:
  启用: true
  过期时间: 3600s
  缓存条件: 相同输入

并发控制:
  最大并发: 10
  队列大小: 100
  超时: 30s

资源限制:
  内存: 2GB
  CPU: 80%

version: '3.8'
services:
  dify-api:
    image: langgenius/dify-api:latest
    environment:
      - SECRET_KEY=your-secret-key
      - DB_HOST=postgres
      - REDIS_HOST=redis
      - OPENAI_API_KEY=sk-your-gravitex-key
      - OPENAI_API_BASE=https://api.gravitex.ai/v1
    depends_on:
      - postgres
      - redis

  dify-web:
    image: langgenius/dify-web:latest
    ports:
      - "3000:3000"
    depends_on:
      - dify-api

  postgres:
    image: postgres:14
    environment:
      - POSTGRES_DB=dify
      - POSTGRES_USER=dify
      - POSTGRES_PASSWORD=password

  redis:
    image: redis:alpine

import requests, time

def monitor_dify():
    try:
        r = requests.get("http://dify-api:5001/health", timeout=5)
        if r.status_code == 200:
            print("Dify 运行正常")
        else:
            print(f"异常,状态码: {r.status_code}")
    except Exception as e:
        print(f"监控失败: {e}")

while True:
    monitor_dify()
    time.sleep(60)