AI Config | DirectoryLaunch

File: config/ai.config.ts

When AI is on, users get "Generate with AI" buttons in the submit flow — the LLM writes descriptions, suggests categories, and fills SEO metadata from a URL.

Two switches to flip

You need both ai: true in features.config.ts and a valid AI_API_KEY. Either missing → AI silently skips.

Supported providers

Provider	Where to get a key
OpenAI	platform.openai.com → API keys
Anthropic	console.anthropic.com → API keys

OpenAI API keys page

Anthropic Console API keys

Setup

1. Turn on the feature flag

config/features.config.ts

export const featuresConfig = {
  // ...
  ai: true,
};

2. Add env vars

.env.local

AI_PROVIDER=openai          # or 'anthropic'
AI_MODEL=gpt-4o-mini        # or 'claude-haiku-4-5' etc.
AI_API_KEY=sk-...

Restart the dev server.

3. Verify

Go to /submit → fill in a project URL → click "Generate description with AI". If nothing happens, check the dev console / network tab for errors.

The config file

config/ai.config.ts

export const aiConfig = {
  provider: (process.env.AI_PROVIDER as 'openai' | 'anthropic') || 'openai',
  model: process.env.AI_MODEL || 'gpt-4o-mini',
  apiKey: process.env.AI_API_KEY || '',
  maxTokens: 1000,
  temperature: 0.7,
};

Field	Default	What it does
`provider`	`openai`	Provider. Must match your key.
`model`	`gpt-4o-mini`	Model ID. See provider's docs for available models.
`apiKey`	—	Pulled from `AI_API_KEY`.
`maxTokens`	`1000`	Max response length.
`temperature`	`0.7`	0 = deterministic, 1 = creative. Good middle ground for descriptions.

Recommended models

For directory descriptions (short, factual), cheap fast models win:

Provider	Model	Input / Output cost
OpenAI	`gpt-4o-mini`	cheapest GPT-4-class
Anthropic	`claude-haiku-4-5`	cheap and fast
OpenAI	`gpt-4o`	better quality, more expensive
Anthropic	`claude-sonnet-4-5`	best quality Anthropic

Start with the cheap one. Only upgrade if outputs are noticeably worse.

Cost control

Each description generation is ~300-500 tokens → fractions of a cent per request.
Rate-limit AI endpoints in lib/rate-limit.ts to prevent abuse.
Consider caching generated descriptions by URL so re-submissions don't re-pay.