websearch-service

Features

Obtain web results through the SearXNG search engine, and use VLM for intelligent analysis and structured extraction of web content. It has a two-tier caching mechanism (vector semantic cache + database cache).

How to Call

from services.websearch_service.client import WebSearchClient

client = WebSearchClient()

# 健康检查
status = client.health_check()

# 联网搜索（自动使用缓存）
result = client.search("Python async编程", max_results=5)

# 强制刷新（忽略缓存）
result = client.search("最新AI技术", max_results=3, force_refresh=True)
result2 = client.search("openai", max_results=3, force_refresh=True)

Get Results

for r in result["results"]: if r.get("success") and r.get("data"): print(r["title"], r["data"]["main_content"])

for r in result2["results"]: if r.get("success") and r.get("data"): print(r["title"], r["data"]["main_content"])


## 返回格式
```json
{
  "query": "Python async编程",
  "total": 3,
  "success_count": 3,
  "cached_count": 2,
  "results": [
    {
      "index": 1,
      "title": "Python异步编程",
      "url": "https://...",
      "source_domain": "example.com",
      "success": true,
      "from_cache": true,
      "data": {
        "title_summary": "Python异步编程概述",
        "main_content": "Python异步编程基于asyncio库...",
        "key_information": ["asyncio是标准库", "使用async/await语法"],
        "credibility": "authoritative",
        "relevance_score": 0.92
      }
    }
  ],
  "search_timestamp": "2025-12-28T18:30:00"
}

About this skill

Features

How to Call