​​2025智能体协作范式：多Agent系统在多行业实际项目中的高级应用

from agentica import Team
# 创建协作团队
research_team = Team(
    roles={
        "coordinator": "claude-opus",  # 任务分解
        "searcher": "claude-sonnet",    # 网络搜索
        "analyst": "gpt-4o"            # 数据分析
    }
)
# 执行复杂查询
result = research_team.run(
    task="分析2025年量子计算对金融业的影响",
    workflow=[
        {"role": "coordinator", "action": "task_decomposition"},
        {"role": "searcher", "action": "web_search", "tools": ["DuckDuckGo"]},
        {"role": "analyst", "action": "trend_analysis"}
    ]
)

ANALYST_PROMPT = """
你是一位金融科技分析师，请按以下规则工作：
1. 从{search_results}中提取关键数据点
2. 使用Markdown表格对比不同机构的预测
3. 重点标注超过10%的增长机会
4. 输出结构：
   - 行业影响总结
   - 风险提示
   - 投资建议
"""

# agent_config.yaml
tools:
  - name: "financial_data"
    endpoint: "https://api.finance.com/v1"
    description: "获取实时股票数据"
    params: ["symbol", "period"]
  - name: "sentiment_analysis"
    endpoint: "http://nlp-service/analyze"
    description: "文本情感评分"

# 拉取镜像（使用阿里云加速）
docker pull n8nio/n8n:latest --registry-mirror=https://xxxx.mirror.aliyuncs.com
# 启动容器
docker run -d \
  -p 5678:5678 \
  -v ~/n8n-data:/home/node/.n8n \
  -e N8N_LICENSE_KEY="your_license" \
  n8nio/n8n

// n8n函数节点
const date = new Date();
const subject = `AI日报-${
  date.toLocaleDateString('zh-CN', { 
    month: '2-digit', 
    day: '2-digit'
  })
}｜${$item.json.keyword}趋势`;
return [{ json: { subject } }];

def route_tool(query: str, context: dict):
    # 基于MasRouter的动态调度:cite[3]
    router = MasRouter()
    plan = router.decide(
        query=query,
        available_tools=["web_search", "data_crunch", "report_gen"],
        cost_constraint=0.5  # 成本预算系数
    )
    return execute_plan(plan)

from crawl4ai import AsyncWebCrawler
async def extract_tech_news():
    crawler = AsyncWebCrawler()
    result = await crawler.arun(
        url="https://news.ycombinator.com",
        strategy="BFSDeepCrawl(max_depth=2)",
        extract_rules={"title": "//a[@class='titlelink']/text()"}
    )
    return result.to_markdown()  # 转换为LLM友好格式:cite[4]

# 错误恢复机制
try:
    agent_response = call_agent(task)
except ToolTimeoutError:
    # 1. 切换备用工具
    switch_to_backup_tool()
    # 2. 检查点恢复
    resume_from_checkpoint(last_state)