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Set Up Vercel AI SDK with Qwen 3

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Build Rate-Sensitivity Home Sales Predictor with Vercel AI SDK & Qwen 3

Format
Code-aware
Lines
7
Sections
3
Linked challenge
Build Rate-Sensitivity Home Sales Predictor with Vercel AI SDK & Qwen 3

Prompt source

Original prompt text with formatting preserved for inspection.

7 lines
3 sections
No variables
0 checklist items
import { streamText } from 'ai';
import { createOpenAI } from '@ai-sdk/openai';

const provider = createOpenAI({ baseURL: 'https://api.qwen.ai/v1', apiKey: process.env.QWEN_API_KEY });

export async function POST(req: Request) {
  const { messages } = await req.json();
  // Execute rate-sensitivity agent using Qwen 3
}

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.