I’m building a startup with a very complex AI workflow — combining text generation and image generation.
Here’s the catch:
- Text generation costs are negligible for one man team like mine, but not so much for larger teams.
- Image generation? Not so much. Using DALL·E 3 costs about \$0.04 per image (standard size).
At first, I underestimated how fast this adds up. But when you consider:
- Team size,
- Frequency of commits,
- Automated tests or integration runs,
…it’s easy to rack up serious costs just from developers iterating on code.
The Problem
If every commit triggers image generation in dev/test environments, you’re basically paying per debug cycle. That’s unsustainable.
The Solution: Provider Pattern
Instead of letting dev environments hit expensive APIs, use a provider pattern with a mock fallback.
- In staging/production, use the real DALL·E provider.
- In development, serve mock images (placeholders) to keep costs at zero.
Here’s a simplified example:
import { DallEAPIWrapper } from '@langchain/openai';
import { ENV } from '../getEnv';
type ImageServiceOptions = {
description: string;
size?: '256x256' | '512x512' | '1024x1024';
quality?: 'standard' | 'hd';
n?: number;
};
const defaultParams = {
size: '1024x1024' as const,
quality: 'standard' as const,
n: 1,
model: 'dall-e-3',
};
function buildFoodPrompt(description: string): string {
return `
You are professional photographer generate image for the following
User description:
${description}
`.trim();
}
// --- Provider Interface ---
interface ImageProvider {
generate(options: ImageServiceOptions): Promise<string | null>;
}
// --- Providers ---
class DalleProvider implements ImageProvider {
async generate({ description, size, quality, n }: ImageServiceOptions) {
const dalle = new DallEAPIWrapper({
size: size ?? defaultParams.size,
quality: quality ?? defaultParams.quality,
n: n ?? defaultParams.n,
model: defaultParams.model,
style: 'natural',
});
return (await dalle.invoke(buildFoodPrompt(description))) ?? null;
}
}
class MockProvider implements ImageProvider {
async generate({ description }: ImageServiceOptions) {
// Could log description to mimic "generation" in dev
console.log('Mock generation for:', description);
return 'https://placehold.co/600x400.png';
}
}
// --- Provider Factory ---
function getProvider(): ImageProvider {
return ENV === 'dev' ? new MockProvider() : new DalleProvider();
}
// --- Service function using Provider Pattern ---
export async function generateMenuItemImage(
options: ImageServiceOptions
): Promise<string | null> {
const provider = getProvider();
return provider.generate(options);
}
Key Takeaway
- Run full AI generation tests only in staging.
- Use mock providers in dev.
- This keeps your workflow lean, reliable, and cost-efficient.
If you’re building AI-powered apps, remember: not every debug session should cost \$0.04.
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