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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