You want to call the Perplexity API from Python code but prefer using the familiar OpenAI SDK instead of a separate library. The Perplexity API is fully compatible with the OpenAI client because it uses the same chat completions endpoint format. This article explains how to configure the OpenAI Python SDK to connect to Perplexity, … Read more
Developers building AI-powered applications often ask whether the Perplexity API works with tools and libraries built for OpenAI. The Perplexity API is designed to be compatible with the OpenAI client libraries and API format, making migration or integration simpler. This article explains exactly which OpenAI features are supported by the Perplexity API and which are … Read more
Perplexity offers several AI models through its API, including llama-3.1-sonar-small-128k-online, llama-3.1-sonar-large-128k-online, and llama-3.1-sonar-huge-128k-online. Each model has different capabilities in terms of speed, cost, and answer quality. You may need to switch between these models for different tasks such as quick lookups versus deep research. This article explains how to specify the model parameter in a … Read more
When using the Perplexity API, you may find that there is no direct parameter to set Focus Mode. The API does not expose a focus_mode field, so you cannot programmatically switch between Web, Academic, Writing, Math, Video, or Social search domains. This limitation means your API calls will always use the default search domain, which … Read more
When you make API calls to Perplexity, you may need to set the behavior of the AI model before it processes user messages. A system prompt defines the role, tone, and constraints for the assistant. Without a correctly placed system prompt, the model may respond in a default manner that does not match your application’s … Read more
When using the Perplexity API with the Sonar model, you may find that your carefully crafted system prompt is completely ignored. The model returns answers as if no instructions were given, defaulting to its base behavior. This happens because the Sonar model has a specific requirement for how system prompts are structured in the API … Read more
You want to integrate Perplexity’s search and AI capabilities into your Node.js application. The Perplexity API provides programmatic access to the same large language models that power the Perplexity web app, enabling you to build custom search tools, chatbots, and automation workflows. This article explains how to set up a Node.js client, authenticate your requests, … Read more
Perplexity provides a Node.js SDK to integrate its AI search and answer capabilities into your applications. Without a proper SDK setup, you must write raw HTTP requests and handle authentication manually. This article explains how to install the Perplexity Node.js SDK, configure it with your API key, and run a basic query. You will complete … Read more
When you query the Perplexity API, the default search behavior returns results from any time period. This can include outdated information that is not useful for tasks requiring the latest news, recent events, or time-sensitive data. The search recency filter lets you restrict results to a specific time range, such as the past day, week, … Read more
When you set a recency filter in the Perplexity API to limit results to the last week or month, the API may still return older sources. This defeats the purpose of the filter and can make your application appear stale. The problem is caused by how the API handles the recency parameter in combination with … Read more