perplexity

Automate web-grounded AI responses and live search via the Perplexity API.

22|1|Updated Jan 10, 2026

Search Tags:#typescript #python #sdk #citations #perplexity #web-search #chat-completions

Ready to run

npx skills add https://github.com/itechmeat/llm-code --skill perplexity-itechmeat

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: perplexity
Source: https://github.com/itechmeat/llm-code/tree/main/skills/perplexity
Command: npx skills add https://github.com/itechmeat/llm-code --skill perplexity-itechmeat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Perplexity provides web-grounded AI responses and real-time search capabilities via its API, enabling seamless integration into applications to improve the accuracy and timeliness of information.

Core Features & Use Cases

Web-grounded Chat Completions: Use sonar models to ground responses in current data.
Search API & Pro Search: Integrate real-time searches, filtering, and multi-turn research workflows.
SDK compatibility: Works with Python and TypeScript SDKs for broad developer adoption.
Use Case: Build a research assistant that retrieves citations and returns structured outputs for reports.

Quick Start

Install the Perplexity SDKs, initialize a client, and run a sample chat or search query.

Frequently Asked Questions about perplexity

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

FAQPage Schema

How do I integrate real-time web search into my chat completions?▼

You can integrate real-time web search into chat completions by using the Perplexity API with sonar models to ground responses in current data. This Skill automates web-grounded AI responses and live search integration using the Perplexity API.

Can I use the Perplexity SDK with both Python and TypeScript?▼

Yes, the Perplexity API supports both Python and TypeScript SDKs for broad developer adoption. You can use either SDK to build research-oriented assistants that retrieve citations and return structured outputs.

What is the best way to build a research assistant that returns citations?▼

The best way to build a research assistant with citations is to use this Skill to automate web-grounded AI responses and live search integration. It applies to chat completions, real-time search, and structured outputs across Python and TypeScript SDKs.

Does the Perplexity API support streaming and JSON-structured outputs?▼

Yes, the Perplexity API supports streaming, citations, and JSON-structured outputs. You can use these features to build research-oriented assistants, knowledge workers, and data analysts.

Do I need a Perplexity API key to use web-grounded AI responses?▼

Yes, you need Perplexity API access to use this Skill. The Skill requires Perplexity API access and Python or TypeScript SDKs to automate web-grounded AI responses and live search integration.

What are the limitations of using Perplexity for real-time search integration?▼

The Perplexity API requires Perplexity API access and Python or TypeScript SDKs to function. It applies to chat completions, real-time search, media attachments, and structured outputs for building research-oriented assistants.