API
API Quickstart
The kral API is OpenAI-compatible: existing SDKs keep working, you only swap the base URL and the key. Through the same interface you reach every model — Claude, GPT, Gemini, Grok, Mistral, Llama.
1. Create an API key
In the dashboard under API keys, click New. One key per project, with its own daily or monthly spend limit. Keys start with sk-kral-. The plain-text key is shown once at creation; afterwards only the prefix.
2. Set the base URL
https://api.kral.ai/v1
Authentication is a Bearer token in the Authorization header.
3. First request
cURL
curl https://api.kral.ai/v1/chat/completions \
-H "Authorization: Bearer $KRAL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-sonnet-4-6",
"messages": [
{"role": "user", "content": "Hello"}
]
}'
Python
from openai import OpenAI
client = OpenAI(
base_url="https://api.kral.ai/v1",
api_key="sk-kral-...",
)
resp = client.chat.completions.create(
model="claude-sonnet-4-6",
messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)
Node.js
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.kral.ai/v1",
apiKey: process.env.KRAL_API_KEY,
});
const resp = await client.chat.completions.create({
model: "gpt-5",
messages: [{ role: "user", content: "Hello" }],
});
console.log(resp.choices[0].message.content);
Models
Pass the model name in the model field. Get the full list with GET /v1/models. More under Endpoints.
Next
- Endpoints — every path at a glance.
- Streaming — tokens as they arrive.
- Tools and structured outputs — function calling, JSON schema.
- Errors and migration — status codes plus drop-in from OpenAI.