Jevify Gemma 4 26B-A4B

Call your endpoint

Use a local typed endpoint

The API accepts typed questions and returns typed answers with probabilities.

Request

curl http://127.0.0.1:8484/v1/systemone -H 'Content-Type: application/json' -d '{"state":"Mia owns a red bicycle.","questions":{"color":{"type":"choice","instructions":"Which color is the bicycle?","criteria":{"red":null,"blue":null}}}}'

Example output

{"id":"dec_…","model":"jevify-gemma4-26b-a4b","answers":{"color":{"type":"choice","choice":"red","confidence":0.97,"probabilities":{"red":0.97,"blue":0.03}}},"usage":{"input_tokens":64,"output_tokens":0,"decisions":1}}

Python

import json
import urllib.request
payload = {"state": "Mia owns a red bicycle.",
           "questions": {"color": {"type": "choice", "instructions": "Which color is the bicycle?", "criteria": {"red": None, "blue": None}}}}
request = urllib.request.Request("http://127.0.0.1:8484/v1/systemone", data=json.dumps(payload).encode(), headers={"Content-Type": "application/json"})
with urllib.request.urlopen(request, timeout=30) as response:
    result = json.load(response)
print(result["answers"]["color"])

Image input

curl http://127.0.0.1:8484/v1/multimodal -H 'Content-Type: application/json' -d '{"state":"Read the image and answer the question.","images":["data:image/png;base64,…"],"questions":{"object":{"type":"choice","instructions":"What is shown?","criteria":{"bicycle":null,"car":null}}}}'