Using Jev via Vercel AI Gateway.

import { TypeSafeClient } from "@typesafe-ai/sdk";

// Route standard TypeSafe SDK calls through Vercel AI Gateway
const client = new TypeSafeClient({
  apiKey: process.env.AI_GATEWAY_API_KEY!,
  baseURL: "https://ai-gateway.vercel.sh/typesafe",
});

async function runGatewayEvaluation() {
  const result = await client.systemOne({
    model: "jev-latest",
    state: "User feedback: 'Checkout crashed when clicking Pay with Apple Pay on Safari iOS 18.' User plan: Enterprise. Severity: High.",
    questions: {
      triage_queue: {
        type: "choice",
        instructions: "Assign engineering incident triage queue",
        criteria: {
          payments_eng: "Payments, checkout, and billing gateways",
          ios_frontend: "Safari, WebKit, and mobile iOS client bugs",
          api_gateway: "Backend routing, edge proxy, and 5xx errors",
          customer_support: "Account issues and non-technical customer tickets"
        }
      },
      is_outage: {
        type: "noul",
        instructions: "This report indicates an active production payment outage."
      }
    }
  });

  console.log("Queue:", result.answers.triage_queue.choice);
  console.log("Outage Probability:", result.answers.is_outage.noul);
}

runGatewayEvaluation();

curl -X POST "https://ai-gateway.vercel.sh/v1/evaluate" \
  -H "Authorization: Bearer $AI_GATEWAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "typesafe-ai/jev",
    "state": "Transaction: Amount $1,250. Billing country: US. Shipping country: US. IP address country: US. Previous chargebacks: 0.",
    "questions": {
      "fraud_risk": {
        "type": "choice",
        "instructions": "Evaluate transaction fraud risk category",
        "options": ["minimal", "elevated", "critical"]
      },
      "auto_approve": {
        "type": "boolean",
        "instructions": "Should this transaction be automatically approved?"
      }
    }
  }'

import { experimental_evaluate as evaluate } from "ai";

// Standard Vercel AI SDK pattern using model string 'typesafe-ai/jev'
async function evaluateWithAiSdk() {
  const result = await evaluate({
    model: "typesafe-ai/jev",
    state: "Account ID: 8941. API requests in last 60s: 14,200. Concurrency limit: 5,000. Plan: Team.",
    questions: {
      rate_limit_action: {
        type: "choice",
        instructions: "Determine gateway throttling policy",
        options: ["allow", "queue", "drop_with_429"]
      },
      abuse_flag: {
        type: "boolean",
        instructions: "Does this traffic spike exhibit credential stuffing or DoS characteristics?"
      }
    }
  });

  console.log("Decision answers:", result.answers);
  console.log("Rate limit action:", result.answers.rate_limit_action);
  console.log("Abuse boolean:", result.answers.abuse_flag);
}

evaluateWithAiSdk();