Does Jev require markdown regex cleaning or JSON parsing retries?

No. Jev enforces valid JSON at the logit level, guaranteeing that output strings parse into the target schema on the first attempt without markdown fences.

Can Jev be run on edge runtimes like Vercel Edge Functions or Cloudflare Workers?

Yes. Jev’s low latency and small payload size make it well suited for edge middleware and global serverless functions.

Intermediate · 12 minutes

How to Implement Sub-15ms Structured Outputs with TypeSafe AI Jev and Vercel AI SDK

Step-by-step developer tutorial for integrating TypeSafe AI’s Jev model with TypeScript, Zod, and the Vercel AI SDK to eliminate latency and syntax errors in agent workflows.

Step 1: Install Required Packages and Configure TypeSafe AI Credentials

Add the official TypeSafe AI provider adapter alongside the Vercel AI SDK and Zod schema validator.

npm install ai @ai-sdk/typesafe zod

Step 2: Define Typed Zod Schemas for Extraction and Routing

Declare schema definitions with strict enums and types. Jev compiles these definitions into finite state constraints enforced at the logit level during parallel generation.

import { z } from 'zod';

export const AgentDecisionSchema = z.object({
  intent: z.enum(['database_query', 'external_api', 'escalate_to_human']),
  priorityScore: z.number().min(0).max(100),
  extractedParameters: z.record(z.string()),
  executionTimeoutMs: z.number().default(5000)
});

export type AgentDecision = z.infer<typeof AgentDecisionSchema>;

Step 3: Invoke generateObject with Non-Autoregressive Jev Provider

Call generateObject using the typesafe("jev-1") model reference. Set temperature to 0 for deterministic parallel sampling.

import { experimental_generateObject as generateObject } from 'ai';
import { typesafe } from '@ai-sdk/typesafe';
import { AgentDecisionSchema } from './schemas';

export async function processOperationalStep(userPrompt: string) {
  const result = await generateObject({
    model: typesafe('jev-1'),
    schema: AgentDecisionSchema,
    prompt: userPrompt,
    temperature: 0
  });

  // Returns in 10-15ms with 100% type safety
  return result.object;
}

Step 4: Deploy to Edge Middleware or Serverless Functions

Because Jev returns responses in single-digit milliseconds, you can place routing logic directly inside Next.js Edge Middleware or Cloudflare Workers before contacting origin servers.

# Run integration test to measure latency
curl -X POST https://api.typesafe.ai/v1/generate -H "Authorization: Bearer $TYPESAFE_API_KEY"