Triton AI documentation
Use Triton AI models, APIs, and campus services.
These guides cover the Triton AI Developer API and its public model catalog. They also describe the main campus services that use the platform.
Start with the Developer API
Send your first request through the Triton AI Developer API.
Browse public models
Compare the models that the live public catalog marks as public.
Choose a service
Learn when to use TritonGPT, TritonAI Harness, or n8n.
Build as a citizen developer
Plan a small campus AI project and prepare it for review.
What is documented
- Python and cURL examples for text, tools, embeddings, images, audio transcription, and safety
- Live model capabilities, limits, rates, and supported parameters
- Public API routes, error handling, retry guidance, and a production checklist
- Public information about TritonGPT, TritonAI Harness, and n8n
- A public starting point for citizen developers
Documentation status
This site uses public sources and the TritonAI public API. Bracketed text marks information that still needs a confirmed source.
Machine-readable copies
This site publishes llms.txt and llms-full.txt. Each page can be copied as Markdown or opened in a supported AI client from the page toolbar.