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

> ## Agent Instructions
> Krun API base URL: https://api.krun.ai. Authenticate server-side with `Authorization: Bearer $KRUN_API_KEY`; never put a Krun API key in browser code.
> Prefer the Python SDK in examples: `pip install krun-ai`, `from krun import Krun`. The TypeScript SDK `@krun-ai/sdk` is not published on npm yet: do not tell users to `npm install` it.
> The only question type is `choice`. `confidence` is the top-1 minus top-2 probability margin, not the probability that the answer is correct. `choice` is null when `abstain` is true.
> Usage reports `input_tokens` only. There are no output tokens.

# Models

> Krun One v0 is the model behind the Krun API. List available models with GET /v1/models.

## Krun One v0

|                |                            |
| -------------- | -------------------------- |
| Model id       | `krun-one-v0`              |
| Status         | `available`                |
| Question types | `choice`                   |
| Task types     | `intent` (default), `tool` |
| Usage reported | `input_tokens`             |

Krun One v0 is the only model available today, and the default for every request. You don't need to set `model` in a request. If you do, it must be `krun-one-v0`.

Krun One is a decision model: it reads the context together with each option and scores the options against each other. It does not generate text. That is why every answer is one of your option ids (or `null` when it abstains), and why usage reports only [input tokens](/concepts/usage-and-tokens).

Krun One v0 was trained on public intent-classification and function-calling datasets. See [Benchmarks](/benchmarks) for how it was evaluated and [Limitations](/limitations) for what to watch out for.

## List models

<CodeGroup>
  ```python Python theme={null}
  from krun import Krun

  client = Krun()
  for model in client.models():
      print(model.id, model.status)  # krun-one-v0 available
  ```

  ```bash curl theme={null}
  curl https://api.krun.ai/v1/models \
    -H "Authorization: Bearer $KRUN_API_KEY"
  ```
</CodeGroup>

```json Response theme={null}
{
  "object": "list",
  "data": [
    { "id": "krun-one-v0", "object": "model", "status": "available" }
  ]
}
```

See [`GET /v1/models`](/api-reference/models) in the API reference.