perplexity-search

Query Perplexity models via LiteLLM and OpenRouter for cited web search results.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/JosephWoodall/noosphere --skill perplexity-search-josephwoodall
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/JosephWoodall/noosphere/tree/main/.agent/skills/perplexity-search
Command: npx skills add https://github.com/JosephWoodall/noosphere --skill perplexity-search-josephwoodall

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires litellm, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Perplexity Search enables real-time, web-grounded searches using Perplexity models via LiteLLM and OpenRouter to provide current information with source citations.

Core Features & Use Cases

  • Real-time web search across Perplexity models via OpenRouter, with citations
  • Grounded, source-backed answers suitable for literature reviews and technical research
  • Flexible usage for biomedical, computational, and clinical topics requiring up-to-date results

Quick Start

Run perplexity_search.py with your query to fetch a real-time, grounded answer.

Frequently Asked Questions about perplexity-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get real-time web search results with grounded citations for a literature review?

Real-time web search with grounded citations is achieved by querying Perplexity models through LiteLLM and OpenRouter, delivering source-backed answers suitable for literature reviews and technical research.

What API keys do I need to query Perplexity models via OpenRouter?

Querying Perplexity models via OpenRouter requires a single OpenRouter API key and the LiteLLM library to fetch grounded, cited answers across multiple model endpoints.

Can I use LiteLLM to fetch up-to-date information for biomedical and clinical research?

LiteLLM fetches up-to-date information for biomedical and clinical research by routing queries through Perplexity models on OpenRouter, providing current results with source citations.

What is the best way to conduct domain-specific research using Perplexity models?

The best way to conduct domain-specific research using Perplexity models is via the openrouter/perplexity/* routing pattern through LiteLLM, which delivers grounded, cited answers for technical topics.

Does web-grounded search via LiteLLM support multiple Perplexity models?

Web-grounded search via LiteLLM supports multiple Perplexity models accessed through the openrouter/perplexity/* path, allowing flexible selection for current-information searches.