Guides: AI Models

Introduction In order to know which models you can have access to through Paradigm, a dedicated endpoint is available for you to get the list of available models. Model visibility Please note that the listed models are ...

Chat API Endpoint Quick Guide Overview The Chat API lets your apps have smart, context-aware conversations. It's great for back-and-forth chats or quick questions and adapts to the dialogue's flow. Features: Multi-...

Asynchronous API Requests with AsyncOpenAI Client Overview Using the openai client with paradigm, you can leverage the power of asynchronous programming in Python to enhance the speed of your API requests. Utilizing asyncio and the AsyncOpenA...

Structured Data Generation with JSON Schema Enhance your applications with high-quality, structured data using our API's JSON Schema support. This feature is key for creating or parsing structured data, ensuring it meets specific format and valida...

Regex-Powered Template Filling via API Our API now supports regex-based template filling, enabling precise formatting in generated content. Ideal for data that must conform to specific patterns like credit card numbers, phone numbers, or custom id...

Introduction The embeddings API endpoint allows you to easily convert some text into embedding vectors. This feature gives you the possibility to manage your own vector database while keeping the advantages of Paradigm. Prerequisites In order...

Introduction The tokenize API endpoint allows you to easily convert some text into a list of tokens for a specific model. Embedding models It is currently not possible to use the tokenize endpoint on embedding models. ...