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Initialize AI SDK Hardware Profiler

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

Linked challenge: Model Hardware Profiler: AI SDK & OpenAI o3 Accelerator Selection Engine

Format
Code-aware
Lines
14
Sections
3
Linked challenge
Model Hardware Profiler: AI SDK & OpenAI o3 Accelerator Selection Engine

Prompt source

Original prompt text with formatting preserved for inspection.

14 lines
3 sections
No variables
0 checklist items
import { generateObject } from 'ai';
import { openai } from '@ai-sdk/openai';
import { z } from 'zod';

// Initialize OpenAI o3 provider with AI SDK to evaluate hardware profiles
const hardwareSpecSchema = z.object({
  recommended_hardware: z.string(),
  estimated_ttft_ms: z.number(),
  estimated_tpot_ms: z.number(),
  cost_per_1k_requests: z.number(),
  bottleneck_factor: z.enum(['memory_bandwidth', 'compute_flops', 'interconnect_speed', 'kv_cache_capacity'])
});

export async function evaluateWorkload(workloadSpec) {
  // Implement AI SDK o3 call here
}

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.