Getting started
Quickstart
Send your first request in a few minutes. LLMHub follows the OpenAI API format, so existing OpenAI code works after changing the base URL and key.
1. Get an API key
- Create an account and top up your balance.
- Generate an API key in the dashboard. Each key has its own budget.
- Store the key in an environment variable, for example
LLMHUB_API_KEY. Never expose it in browser code.
2. Send a request
curl https://api.llm-hub.dev/v1/chat/completions \
-H "Authorization: Bearer $LLMHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.6-sol",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.llm-hub.dev/v1",
api_key="YOUR_LLMHUB_API_KEY",
)
response = client.chat.completions.create(
model="gpt-5.6-sol",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llm-hub.dev/v1",
apiKey: process.env.LLMHUB_API_KEY,
});
const response = await client.chat.completions.create({
model: "gpt-5.6-sol",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);3. Next steps
- Pick a model from Models.
- Stream tokens with Streaming.
- Let the model call your functions with Tool calling.
- Connect a coding tool with the integration guides.
Last updated
