deep-search

name	deep-search
description	Multi-tier Perplexity search with Langfuse tracing. Three depth levels: quick (sonar), pro (sonar-pro), deep (sonar-reasoning-pro). Supports focus modes: internet, academic, news, youtube, reddit. Returns AI-synthesized answers with citations. Use for research, comparisons, market analysis, fact-checking. Triggers: search, research, look up, find out, compare, what is, deep search, web research.

Deep Search 🔍

Multi-tier Perplexity-powered search with automatic Langfuse observability tracing.

When to Use

• Quick facts and simple lookups → quick tier
• Standard research, comparisons, how-to → pro tier
• Deep analysis, market research, complex questions → deep tier
• 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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