Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Perform web searches and generate summarized answers with citations using the Kagi API and FastGPT for higher-quality results or rate-limit fallback.
Perform web searches and generate summarized answers with citations using the Kagi API and FastGPT for higher-quality results or rate-limit fallback.
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Use the bundled Python scripts to call Kagiโs API from the OpenClaw host.
Create a token in https://kagi.com/settings/api Export it for your shell/session: export KAGI_API_TOKEN='โฆ' Run a search: python3 scripts/kagi_search.py "haaps glass" --limit 10 --json Or ask FastGPT (LLM + web search): python3 scripts/kagi_fastgpt.py "Summarize the latest Haaps glass mentions" --json
Use when you need a normal ranked list of results (URLs/titles/snippets). Command: python3 scripts/kagi_search.py "<query>" [--limit N] [--json] Notes: Defaults to printing a readable digest; use --json for raw API output. The script automatically sets Authorization: Bot <token>.
Use when you want a short answer grounded in web results, including reference URLs. Command: python3 scripts/kagi_fastgpt.py "<question>" [--cache true|false] [--json]
If Brave Search is rate-limited (429) or you want better results: Use scripts/kagi_search.py to fetch results Then use the main agent model to synthesize / summarize based on the returned URLs/snippets
API reference snippets: references/kagi-api.md Python client + CLIs: scripts/kagi_client.py, scripts/kagi_search.py, scripts/kagi_fastgpt.py
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