智能体概览

# 开源部署的.env配置
SERPAPI_API_KEY=your_key_here
SEARCHAPI_API_KEY=your_key_here
XAI_API_KEY=your_key_here
ALPACA_API_KEY=your_key_here

curl http://localhost:8080/api/v1/agents \
  -H "X-API-Key: sk_your_api_key"

curl http://localhost:8080/api/v1/agents/serp-ads \
  -H "X-API-Key: sk_your_api_key"

curl -X POST http://localhost:8080/api/v1/agents/serp-ads \
  -H "X-API-Key: sk_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "keywords": "running shoes",
      "country": "us"
    }
  }'

# 使用步骤3返回的task_id
curl http://localhost:8080/api/v1/tasks/{task_id} \
  -H "X-API-Key: sk_your_api_key"

import httpx

client = httpx.Client(
    base_url="http://localhost:8080",
    headers={"X-API-Key": "sk_your_api_key"}
)

# 步骤1: 提取关键词
keywords_resp = client.post("/api/v1/agents/keyword-extract", json={
    "input": {"query": "Find shoes for marathon training"}
}).json()

# 等待完成
task_id = keywords_resp["task_id"]
# ... 轮询结果 ...

# 步骤2: 使用提取的关键词搜索广告
ads_resp = client.post("/api/v1/agents/serp-ads", json={
    "input": {"keywords": extracted_keywords}
}).json()

import asyncio
import httpx

async def execute_agent(client, agent_id, input_data):
    response = await client.post(
        f"/api/v1/agents/{agent_id}",
        json={"input": input_data}
    )
    return response.json()

async def main():
    async with httpx.AsyncClient(
        base_url="http://localhost:8080",
        headers={"X-API-Key": "sk_your_api_key"}
    ) as client:
        # 并行执行3个智能体
        results = await asyncio.gather(
            execute_agent(client, "serp-ads", {"keywords": "shoes"}),
            execute_agent(client, "sec-filings", {"ticker": "NKE"}),
            execute_agent(client, "alpaca-news", {"symbols": "NKE"})
        )

        print("All agents submitted:", [r["task_id"] for r in results])

# 在一次调用中分析多个落地页
response = httpx.post(
    "http://localhost:8080/api/v1/agents/lp-batch-analyze",
    headers={"X-API-Key": "sk_your_api_key"},
    json={
        "input": {
            "urls": [
                "https://competitor1.com/product",
                "https://competitor2.com/landing",
                "https://competitor3.com/offer"
            ],
            "device": "mobile",
            "language": "en"
        }
    }
).json()