wunianxiao
81c736f873
- query_weather: {location, now: {temp,text}, forecast: [{date,day,night,tempMin,tempMax}]}
- search_web: {query, answer, results: [{title,url,content}]}
- get_current_datetime: {datetime}
- list_scheduled_tasks: {tasks: [{name,description,enabled,command,...}]}
- manage_scheduled_task: {ok, action, name} / {error}
LLM 直接看到结构化数据，不再依赖脚本拼接的中文自然语言
30 lines
1.1 KiB
Bash
Executable File
30 lines
1.1 KiB
Bash
Executable File
#!/bin/bash
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# Tavily 搜索 → JSON 输出
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read -r input
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QUERY=$(echo "$input" | python3 -c "import sys,json; print(json.load(sys.stdin).get('query',''))" 2>/dev/null)
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COUNT=$(echo "$input" | python3 -c "import sys,json; print(json.load(sys.stdin).get('count',5))" 2>/dev/null)
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[ -z "$QUERY" ] && echo '{"error":"请提供 query 参数"}' && exit 0
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API_KEY="${TAVILY_API_KEY}"
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[ -z "$API_KEY" ] && echo '{"error":"请设置 TAVILY_API_KEY"}' && exit 0
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RESP=$(curl -s -X POST "https://api.tavily.com/search" \
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-H "Content-Type: application/json" \
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-d "{\"api_key\":\"$API_KEY\",\"query\":\"$QUERY\",\"max_results\":$COUNT,\"include_answer\":true}")
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export RESP QUERY COUNT
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python3 -c "
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import os, json
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d = json.loads(os.environ['RESP'])
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result = {
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'query': os.environ['QUERY'],
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'answer': d.get('answer', ''),
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'results': [
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{'title': r.get('title', ''), 'url': r.get('url', ''), 'content': r.get('content', '')[:300]}
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for r in d.get('results', [])[:int(os.environ['COUNT'])]
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]
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}
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print(json.dumps(result, ensure_ascii=False))
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" 2>/dev/null || echo '{"error":"搜索请求失败"}'
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