Deep Search 🔍
Multi-tier Perplexity-powered search with automatic Langfuse observability tracing.
When to Use
- Quick facts and simple lookups →
quicktier - Standard research, comparisons, how-to →
protier - Deep analysis, market research, complex questions →
deeptier - Academic paper search, news monitoring, Reddit/YouTube research
Usage
# Quick search (sonar, ~2s)
python3 {baseDir}/scripts/deep_search.py quick "what is OpenClaw"
# Pro search (sonar-pro, ~5-8s)
python3 {baseDir}/scripts/deep_search.py pro "compare Claude vs GPT-4o for coding"
# Deep research (sonar-reasoning-pro, ~10-20s)
python3 {baseDir}/scripts/deep_search.py deep "full market analysis of AI agent frameworks"
# Focus modes
python3 {baseDir}/scripts/deep_search.py pro "query" --focus academic
python3 {baseDir}/scripts/deep_search.py pro "query" --focus news
python3 {baseDir}/scripts/deep_search.py pro "query" --focus youtube
python3 {baseDir}/scripts/deep_search.py pro "query" --focus reddit
Tiers
| Tier | Model | Speed | Best For |
|---|---|---|---|
| quick | sonar | ~2s | Simple facts, quick lookups |
| pro | sonar-pro | ~5-8s | Research, comparisons |
| deep | sonar-reasoning-pro | ~10-20s | Deep analysis, complex questions |
Environment
PERPLEXITY_API_KEY— Required. Perplexity API key.OPENROUTER_API_KEY— Optional. For Langfuse tracing model pricing.
Credits
Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.
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