API reference · TypeSafe

typesafe/jev-1.14

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

LLMSynchronousOpen model

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/decisions

Model IDtypesafe/jev-1.14

Input Schema

2 parameters · 2 required · 0 optional

Parameter	Type	Required	Description
`state`	any	Required	State passed to the System One model. The upstream accepts the native TypeSafe state shape.
`questions`	object	Required	Typed questions evaluated against state.

Output Schema

Field	Type	Description
`id`	string	Unique identifier for this request
`model`	string	Model used for the request
`answers`	object	One answer per question id (keys match your questions)
`answers[].type`	string	Answer type: choice, score, or noul
`answers[].choice`	string	choice: the selected option key
`answers[].score`	number	score: probability-weighted mean of level indices (a decimal)
`answers[].noul`	number	noul: probability of "yes" (0.0-1.0)
`answers[].probabilities`	object	choice/score: probability per option or level index
`answers[].confidence`	number	choice/score: how peaked the distribution is (0-1); absent for noul
`answers[].legend`	object	score: maps level index to your label
`usage.input_tokens`	integer	Tokens in the input
`usage.output_tokens`	integer	Tokens in the output

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/decisions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "typesafe/jev-1.14",
    "state": {
      "ticket": "I was charged twice and would like a refund."
    },
    "questions": {
      "refund_requested": {
        "type": "noul",
        "instructions": "Does the ticket explicitly request a refund?"
      }
    }
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());

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