This article provides a detailed guide on working with Ollama's REST APIs, specifically focusing on the /api/generate endpoint for AI model responses.
The /api/generate endpoint offers standard and advanced parameters for customization, supporting features like suffix, images, format selection, and more.
An example request to generate a joke using the llama3.2 model is demonstrated, showing how the response is streamed as incremental JSON objects.
The response culminates in delivering the full joke 'Why don't eggs tell jokes? Because they'd crack each other up!' as concatenated pieces.
Key fields in the response JSON include model, created_at timestamp, response content, and indicators like done status and done_reason for completion.
The article explains the streaming nature of the API in generating responses piece by piece and concludes with how to receive the response as a single JSON object.
Additionally, it delves into the /api/chat endpoint usage for generating conversation responses, detailing the parameters and an example request.
The response format, timing information, and key elements like the response message, done status, and token statistics are highlighted for understanding the chat API.
Lastly, the article covers how to request responses in JSON format using the /api/generate endpoint and receiving the complete joke response in one JSON object.
Overall, this guide provides insights into leveraging Ollama's REST APIs effectively for generating AI responses and controlling response delivery.