What is the Perplexity Sonar API skill?

It is a specialized Claude Code skill that provides best practices, configuration guidance, and code patterns for integrating Perplexity's search-augmented AI models into software projects.

Can I use this for streaming responses?

Yes, the skill covers both synchronous and asynchronous streaming implementations for real-time data delivery in web and CLI applications.

Which programming languages are supported?

The skill provides comprehensive setup instructions and production-ready code examples for both Python and TypeScript/JavaScript environments.

How do I filter search results with this skill?

It provides documentation on using advanced parameters such as search_domain_filter and search_recency_filter to refine Perplexity's web search behavior.

Does this skill support citation handling?

Yes, it includes specific implementation patterns for extracting, parsing, and displaying structured citations provided by the Perplexity API to ensure transparency.

Perplexity API Integration

Name: Perplexity API Integration
Author: FortiumPartners

byFortiumPartners

API Development

Integrates real-time web search and search-augmented generation capabilities into applications using the Perplexity Sonar API.

About

This skill empowers Claude to architect and implement applications using the Perplexity Sonar API family, enabling real-time information retrieval, citation-backed responses, and advanced reasoning capabilities. It provides comprehensive guidance for both Python and TypeScript environments, covering model selection from standard Sonar to Reasoning Pro, OpenAI-compatible Chat Completions, and sophisticated search configuration. By focusing on grounded responses with verifiable sources, this skill is essential for developers building research assistants, news aggregators, or any AI-powered tool requiring up-to-date web data and minimized hallucinations.

Key Features

Structured citation extraction and source attribution management
Seamless integration with Python and TypeScript OpenAI SDKs
Production-ready error handling and retry logic for API stability
Complete implementation patterns for Sonar, Pro, and Reasoning models
Advanced search configuration including domain and recency filtering
0 GitHub stars

Use Cases

Building AI-powered research assistants with verifiable citations
Creating real-time news and market analysis applications
Developing grounded chatbots that minimize hallucinations via web-search

About

Key Features

Structured citation extraction and source attribution management
Seamless integration with Python and TypeScript OpenAI SDKs
Production-ready error handling and retry logic for API stability
Complete implementation patterns for Sonar, Pro, and Reasoning models
Advanced search configuration including domain and recency filtering
0 GitHub stars

Use Cases

Building AI-powered research assistants with verifiable citations
Creating real-time news and market analysis applications
Developing grounded chatbots that minimize hallucinations via web-search