curl -i https://api.llmfaucet.dev/health
curl -sS https://api.llmfaucet.dev/v1/models | jq .

curl -i https://api.llmfaucet.dev/v1/chat/completions \
  -H 'Authorization: Bearer free' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "auto:coding",
    "messages": [
      {"role": "user", "content": "Write a TypeScript retry helper."}
    ],
    "stream": false
  }'

X-Routed-Via             Provider and model selected for the request
X-Fallback-Attempts      Number of upstream attempts used
X-RateLimit-Limit        Current daily request limit
X-RateLimit-Remaining    Requests remaining for the access context
X-RateLimit-Reset        UTC reset timestamp
Retry-After              Seconds to wait when a retry is appropriate

curl -N https://api.llmfaucet.dev/v1/chat/completions \
  -H 'Authorization: Bearer free' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "auto:fast",
    "messages": [{"role": "user", "content": "Explain backoff in one paragraph."}],
    "stream": true
  }'

npm install openai

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llmfaucet.dev/v1",
  apiKey: process.env.LLMFAUCET_API_KEY ?? "free",
});

const response = await client.chat.completions.create({
  model: "auto:coding",
  messages: [{ role: "user", content: "Write a TypeScript retry helper." }],
});

console.log(response.choices[0]?.message?.content);