Kagi

Perform web searches and generate summarized answers with citations using the Kagi API and FastGPT for higher-quality results or rate-limit fallback.

Kagi (API)

Use the bundled Python scripts to call Kagi’s API from the OpenClaw host.

Quick start

1. Create a token in https://kagi.com/settings/api
2. Export it for your shell/session:

bash

export KAGI_API_TOKEN='…'

3. Run a search:

bash

python3 scripts/kagi_search.py "haaps glass" --limit 10 --json

4. Or ask FastGPT (LLM + web search):

bash

python3 scripts/kagi_fastgpt.py "Summarize the latest Haaps glass mentions" --json

Tasks

1) Web search (Kagi Search API)

Use when you need a normal ranked list of results (URLs/titles/snippets).

Command:

bash

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>.

2) Answer/summarize with citations (FastGPT)

Use when you want a short answer grounded in web results, including reference URLs.

Command:

bash

python3 scripts/kagi_fastgpt.py "<question>" [--cache true|false] [--json]

3) Using Kagi as a drop-in for web_search

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

Files

• API reference snippets: references/kagi-api.md
• Python client + CLIs: scripts/kagi_client.py, scripts/kagi_search.py, scripts/kagi_fastgpt.py