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@mayrlabs/ai-flow-runner

v0.4.0

Published

BYOAK Flow runner for MayR Labs

Downloads

14

Readme

@mayrlabs/ai-flow-runner

A lightweight abstraction layer over Genkit AI flows for MayR Labs apps. It simplifies defining typed AI prompts and flows using Google Gemini and Zod schemas.

🚀 Features

  • 🧠 Define prompts and flows in a single step
  • ✅ Type-safe with zod
  • 🛠️ Powered by genkit and Google Gemini
  • 🔁 Reusable across all MayR Labs projects

📦 Installation

This package is meant for internal use across MayR Labs projects.

npm install @mayrlabs/ai-flow-runner

Usage example

'use server';

import { createFlowRunner } from '@mayrlabs/ai-flow-runner';
import { z } from 'genkit';

const inputSchema = z.object({
    topic: z.string().describe('The topic of the article.'),
});

const outputSchema = z.object({
    titles: z.array(z.string()).describe('A list of 5 catchy and SEO-friendly article titles.'),
});

export type GenerateTitleSuggestionsInput = z.infer<typeof inputSchema>;
export type GenerateTitleSuggestionsOutput = z.infer<typeof outputSchema>;

export async function generateTitleSuggestions(
    input: GenerateTitleSuggestionsInput,
    apiKey: string
): Promise<GenerateTitleSuggestionsOutput> {
    const flow = createFlowRunner(apiKey, {
        name: 'generateTitleSuggestions',
        inputSchema,
        outputSchema,
        prompt: `You are an expert copywriter specialising in creating catchy and SEO-friendly article titles.
Based on the provided topic, generate a list of 5 alternative titles.

Topic: {{{topic}}}`,
    });

    return flow(input);
}

API

createFlowRunner(apiKey, config)

Creates and returns a Genkit flow instance.

Parameters:

  • apiKey: string - Your Google AI API Key
  • config: FlowConfig<Input, Output>
interface FlowConfig<Input, Output> {
    name: string;
    inputSchema: z.ZodType<Input>;
    outputSchema: z.ZodType<Output>;
    prompt: string;
}

Internal Package

This is a private utility for MayR Labs apps.

Do not use outside the MayR Labs ecosystem without permission. We're watching 👀

Roadmap

  • Add support for multiple models (Claude, Mistral)
  • Token usage tracking
  • Prompt templating
  • Prompt validation
  • Flow caching

🧾 License MIT — but internal to MayR Labs. External usage not supported (yet).