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perplexity-search

Automate web searches with Perplexity models via OpenRouter.

1|2|Updated Jan 7, 2026
Search Tags:#citations#openrouter#perplexity#web-search#literature-review#grounded-answering
One-click install
npx skills add https://github.com/danieldekay/copilot-config-promptops --skill perplexity-search-danieldekay
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: perplexity-search
Source: https://github.com/danieldekay/copilot-config-promptops/tree/main/skills/perplexity-search
Command: npx skills add https://github.com/danieldekay/copilot-config-promptops --skill perplexity-search-danieldekay

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Web-based information retrieval is challenging when staying current; this skill enables real-time, web-grounded searches by querying multiple Perplexity models through a single API key, returning sourced answers that reflect the latest information.

Core Features & Use Cases

  • Real-time queries across Perplexity models (sonar-pro, sonar-pro-search, sonar, sonar-reasoning-pro, sonar-reasoning) via a unified OpenRouter gateway
  • Source citations and links for verifiable results
  • Literature review, scientific lookups, technical documentation, and rapid answer generation for research, product decisions, and competitive analysis
  • Easy setup, dependency checks, and integration with other skills for end-to-end workflows

Quick Start

Install LiteLLM and configure OPENROUTER_API_KEY to start performing searches.

Frequently Asked Questions about perplexity-search

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

FAQPage Schema
How do I automate web searches with AI to get real-time sourced citations?▼

Automating web searches for real-time, sourced citations involves querying multiple Perplexity models through a unified API gateway, which returns grounded answers with direct source links for verifiable research and technical lookups.

What is the best way to conduct an AI literature review with source links?▼

Conducting an AI literature review leverages Perplexity models to query the latest web information, returning grounded answers with direct source citations and links to ensure research accuracy and verifiability.

Do I need LiteLLM to query Perplexity models via OpenRouter?▼

Yes, you need LiteLLM installed and an OpenRouter API key configured. This setup enables deterministic CLI usage and error handling while querying multiple Perplexity models through the unified gateway.

Can I use Perplexity models for competitive analysis and technical documentation lookups?▼

Yes, Perplexity models support competitive analysis, technical documentation lookups, and rapid answer generation. They provide real-time, web-grounded information with source citations for product decisions.

What are the limitations of using Perplexity models for grounded answering?▼

Limitations of using Perplexity models for grounded answering include dependency on web availability and the OpenRouter gateway. Real-time results require active internet queries, limiting offline use and potentially affecting deterministic output consistency.

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