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Meet Karl AI

A powerful AI API wrapper with 3 specialized modes — coding, mental health, and realtime web search. Built with love by RizzyFuzz.

3 AI Modes
5 API Keys
256K Context

Why Karl AI?

Enterprise-grade AI API, zero hassle

Smart Key Rotation

5 API keys with automatic round-robin rotation and cooldown. Never hit rate limits again.

Model Fallback

Gemma 4 26B primary with automatic fallback to 31B Dense. Maximum uptime guaranteed.

SSE Streaming

Real-time Server-Sent Events streaming for instant, token-by-token responses.

Custom Prompts

Carefully crafted system prompts by RizzyFuzz for each mode, tuned for quality.

Full Documentation

Interactive Swagger UI docs with dark theme. Try every endpoint right in the browser.

Three Powerful Modes

One API, three specialized AI personalities

coding

Coding Assistant

Expert-level programming help. Clean code, debugging, best practices, and explanations across all languages and frameworks.

Python JavaScript Rust Go +more
mental-health

Mental Health

Warm, empathetic AI companion. Active listening, emotional validation, coping strategies, and gentle guidance.

Empathy Coping Mindfulness Support

Quick Start

Start using Karl AI in seconds

# Coding mode
curl -X POST http://localhost:3000/api/v1/chat/coding \
  -H "Content-Type: application/json" \
  -d '{"message": "Write a hello world in Rust"}'

# Mental health mode
curl -X POST http://localhost:3000/api/v1/chat/mental-health \
  -H "Content-Type: application/json" \
  -d '{"message": "I feel overwhelmed today"}'

# Web search mode (realtime)
curl -X POST http://localhost:3000/api/v1/chat/websearch \
  -H "Content-Type: application/json" \
  -d '{"message": "Latest news about AI"}'
const response = await fetch('http://localhost:3000/api/v1/chat/coding', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    message: 'Explain async/await in JavaScript',
    stream: false
  })
});

const data = await response.json();
console.log(data.response);
import requests

response = requests.post(
    'http://localhost:3000/api/v1/chat/coding',
    json={'message': 'Write a binary search in Python'}
)

data = response.json()
print(data['response'])