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perplexity-search

Query real-time web information via Perplexity models through LiteLLM and OpenRouter.

Updated Aug 23, 2026
Search Tags:#citations#grounding#openrouter#perplexity#web-search#literature#litellm
One-click install
npx skills add https://github.com/must1f/Dissertaion-Project --skill perplexity-search-must1f
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/must1f/Dissertaion-Project/tree/main/.agents/skills/perplexity-search
Command: npx skills add https://github.com/must1f/Dissertaion-Project --skill perplexity-search-must1f

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires litellm.

What problem does it solve?

Real-time web-grounded search results with reliable source citations to answer questions beyond the model's training data.

Core Features & Use Cases

  • Real-time searches via Perplexity models through OpenRouter for up-to-date information
  • Grounded answers with explicit source citations suitable for literature reviews and technical research
  • Unified access to multiple Perplexity models (sonar-pro, sonar-pro-search, sonar-reasoning-pro, sonar-reasoning) using a single API key

Quick Start

Ask the AI to perform a real-time web search on a topic and return grounded results with citations.

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 literature reviews?▼

You can perform real-time web search with grounded citations by querying Perplexity models through LiteLLM. It returns up-to-date information with explicit source citations suitable for literature reviews and technical research.

Can I use OpenRouter to access multiple Perplexity models with a single API key?▼

Yes, you can access multiple Perplexity models including sonar-pro, sonar-pro-search, sonar-reasoning-pro, and sonar-reasoning using a single OpenRouter API key via the LiteLLM library.

What's the best way to find current information beyond an LLM's training data cutoff?▼

The best way to find current information beyond a model knowledge cutoff is running web-grounded searches through Perplexity models via OpenRouter, which retrieves real-time data and provides grounded answers.

Do I need LiteLLM to perform web searches using Perplexity models?▼

Yes, the LiteLLM library is required to query current information from the web using Perplexity models via OpenRouter. You also need a valid OpenRouter API key to authenticate requests.

How does web search grounding work when retrieving technical research?▼

Web search grounding works by querying current information from the web and returning answers with explicit source citations. This mechanism ensures technical research results are verifiable and traceable to original sources.

Are there limitations when using Perplexity models for web searches through OpenRouter?▼

Limitations include requiring a valid OpenRouter API key and the LiteLLM library. It is designed for real-time web searches, literature discovery, and grounded answers rather than tasks within the model's existing training data.

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