> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tokz.si/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Tokz Labs builds small, fast models for AI agents. One API key, one balance.

Tokz Labs builds small, fast models for AI agents. The Decisions API answers typed
questions about text with the open [OpenDecision](https://github.com/tokz-labs/OpenDecision)
models, on one API key and one prepaid balance. Every account starts with \$5 of free
credit.

## What it does

Agents spend LLM calls on small classification jobs: which queue a ticket goes to,
whether a message is urgent, which tags apply, how severe something is. `POST /v1/decide`
answers those without a generation. You put the labels in the request, and no training
run is needed. When you want a model trained on your own text, [Fine Tune](https://docs.tokz.si/fine-tune.md)
builds one.

> [card] Four question types
>
> `choice`, `multilabel`, `bool` and `score`, up to 16 questions per request.

> [card] A probability for every option
>
> Not just a label: the distribution over options, so you can threshold, abstain
> or escalate.

> [card] Open weights
>
> The hosted models are the same Apache-2.0 OpenDecision weights published on
> Hugging Face. Run them yourself if you prefer.

> [card] Not stored
>
> Text sent to `/decide` is read by the model and not stored or logged. Only counters
> are kept.

## Next

> [card] [Quickstart](https://docs.tokz.si/quickstart.md)
>
> Your first decision in about two minutes.

> [card] [Decisions API](https://docs.tokz.si/decisions.md)
>
> Request shape, models, prices and limits.


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