Getting Started

Get up and running with PAIS in three steps.

flowchart LR
    A[Request access\nvia your PI] --> B[Generate an\nAPI key in Portal]
    B --> C[Make your\nfirst API call]
    C --> D[Build!]

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Step 1 — Request access

Access to PAIS is granted at the research group level. Your PI or group administrator adds you to a research group namespace (rg-compsci, rg-abi, or rg-general).

Requesting Access →

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Step 2 — Get an API key

Once you're in a research group, log in to the PAIS Portal with your University of Auckland account (Tuakiri SSO) and generate a personal API key.

Getting an API Key →

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Step 3 — Make your first call

Point the OpenAI Python SDK (or any OpenAI-compatible client) at the PAIS endpoint and verify everything works.

Your First API Call →

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What next?

After your first call, where you go depends on what you're building:

Goal	Where to look
Call the API from scripts or notebooks	Inference API
Use LangChain, LlamaIndex, or another framework	Agentic Development
Build a RAG system over your research data	RAG Pipeline example
Run GPU-intensive training in a notebook	Notebooks & GPU
Automate training with pipelines	ML Pipelines