Skip to main content
Back to Prompt Library
implementation

Build Mastra AI Thermal-Aware Autoscaling Workflow

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

Linked challenge: Mastra AI Auto-scaling Inference Fleet with Thermal Constraints

Format
Code-aware
Lines
10
Sections
3
Linked challenge
Mastra AI Auto-scaling Inference Fleet with Thermal Constraints

Prompt source

Original prompt text with formatting preserved for inspection.

10 lines
3 sections
No variables
0 checklist items
import { Workflow, Step } from '@mastra/core';

// Create Mastra AI step for monitoring GPU thermal limits
const monitorThermalStep = new Step({
  id: 'monitor-thermal',
  execute: async ({ context }) => {
    // Inspect context.node_telemetry and check temperature thresholds
    return { needs_migration: true, target: 'gpu_node_2' };
  }
});

// Define workflow graph

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.