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

# Jev 1.13

> Answers choice questions about a state with one option and a confidence. No prose, no images — a classifier you can put in front of a model, a tool call or a risky command. Billed per input token, rounded up to the nearest $0.0001.

## Overview

Answers choice questions about a state with one option and a confidence. No prose, no images — a classifier you can put in front of a model, a tool call or a risky command. Billed per input token, rounded up to the nearest \$0.0001.

## Specs

| Field | Value |
| - | - |
| Model ID | `jev` |
| Best for | Routing, gating, rating — pick one of N with a confidence |
| Context window | 32,000 |
| Max output tokens | 255 |
| Input modalities | Text |
| Output modalities | Text |
| Speed | Fast |
| Cost band | Cheap |
| Release stage | Preview |

## Pricing

| | Per 1M tokens |
| - | :-: |
| Input | \$0.0567 |
| Output | \$0.00 |

## Example

```python theme={null}
from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="kyma-...")

# Decisions is POST /v1/decisions: a state plus choice questions, one option back per question.
response = client.post(
    "/decisions",
    body={"model": "jev", "state": "...", "questions": {"q1": {"type": "choice", "instructions": "...", "criteria": {"yes": "...", "no": "..."}}}},
)
```

See [Make a decision](/api-reference/decisions.md).

## Agent query example

Ask the API which models fit, instead of hardcoding an id:

```bash theme={null}
curl "https://kymaapi.com/v1/models?recommended_for=build-agents&quality_tier=efficient"
```


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