Programming Tutorials

  Building modern interfaces for Large Language Models (LLMs) requires more than just streaming text. As developers integrate engines like Perplexity, they encounter a specific friction point: converting raw text citations into interactive UI elements. The Perplexity API returns a response where the generated  text  contains static markers (e.g.,  [1] ,  [2] ) and a separate  citations  array containing the source URLs. To create a professional user experience, you must parse these markers and replace them with interactive components without breaking the React render cycle or introducing security vulnerabilities. This guide details the root cause of the rendering challenge and provides a production-ready React implementation to parse, map, and render interactive citations. Understanding the Data Structure Before writing the parser, we must understand the raw shape of the data. When querying the Perplexity API (specifically models like  sonar-mediu...