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Initialize Mastra AI Agent Workflow

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

Linked challenge: Mastra AI Protein Interaction Network Agent with fal.ai

Format
Code-aware
Lines
20
Sections
3
Linked challenge
Mastra AI Protein Interaction Network Agent with fal.ai

Prompt source

Original prompt text with formatting preserved for inspection.

20 lines
3 sections
No variables
0 checklist items
import { Agent } from '@mastra/core/agent';
import { createTool } from '@mastra/core/tools';
import { z } from 'zod';
import { fal } from '@fal-ai/client';

const predictStructureTool = createTool({
  id: 'predict-ppi-structure',
  inputSchema: z.object({
    uniprotId: z.string(),
    mutation: z.string()
  }),
  execute: async ({ input }) => {
    // Call fal.ai API for structure calculation
    return { ddG: 2.4, status: 'success' };
  }
});

export const ppiAgent = new Agent({
  name: 'PPI Network Inspector',
  instructions: 'Analyze ASD missense mutations and calculate structural disruptions.',
  tools: { predictStructureTool }
});

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.