LLM gateway

llm.corsair.dev is Corsair’s internal LLM gateway, an OpenAI-compatible API you can use with the Vercel AI SDK, OpenAI SDK, Cursor, or any client that accepts a custom baseURL. Visiting llm.corsair.dev in a browser redirects here.

Quick start

Add these env vars to your app:

LITELLM_API_KEY=sk-your-virtual-key
LITELLM_BASE_URL=https://llm.corsair.dev/v1
LITELLM_MODEL=gpt-5.4-mini   # optional default

Point your client at the gateway and call models by name.

Available models

Model	Typical use
`gpt-5.6-sol`	Newest flagship
`gpt-5.6-terra`	Balanced / everyday
`gpt-5.6-luna`	Fast / cheapest 5.6
`gpt-5.5`	Previous flagship
`gpt-5.3-codex`	Coding / agentic (Codex)
`gpt-5.4`	General flagship
`gpt-5.4-mini`	Fast / balanced (good default)
`gpt-5.4-nano`	Cheapest / highest throughput

List models with your key:

curl https://llm.corsair.dev/v1/models \
  -H "Authorization: Bearer $LITELLM_API_KEY"

Check your budget

Each key has a dollar budget. Check how much you’ve used and how much is left:

curl https://llm.corsair.dev/v1/key/info \
  -H "Authorization: Bearer $LITELLM_API_KEY"

Example response:

{
  "key": "sk-...",
  "info": {
    "spend": 1.42,
    "max_budget": 25,
    "budget_duration": "30d",
    "models": ["corsair-models"]
  }
}

spend: dollars used so far in the current budget window
max_budget: your total allowance
budget_duration: when spend resets (e.g. 30d = monthly)

Remaining budget: max_budget - spend (e.g. $23.58 left in the example above). When spend reaches max_budget, requests return an error until the budget resets or your limit is increased.

Vercel AI SDK

import { createOpenAI } from '@ai-sdk/openai';
import { generateText } from 'ai';

const corsair = createOpenAI({
  apiKey: process.env.LITELLM_API_KEY,
  baseURL: process.env.LITELLM_BASE_URL ?? 'https://llm.corsair.dev/v1',
});

const { text } = await generateText({
  model: corsair('gpt-5.4-mini'),
  prompt: 'Hello!',
});

Streaming works the same way with streamText.

OpenAI SDK

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.LITELLM_API_KEY,
  baseURL: 'https://llm.corsair.dev/v1',
});

const response = await client.chat.completions.create({
  model: 'gpt-5.4-mini',
  messages: [{ role: 'user', content: 'Hello!' }],
});

Do not use openai('gpt-4o') with the default OpenAI provider, which calls OpenAI directly. Always use createOpenAI({ baseURL, apiKey }) so requests go through the gateway.

curl

curl https://llm.corsair.dev/v1/chat/completions \
  -H "Authorization: Bearer $LITELLM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4-mini",
    "messages": [{ "role": "user", "content": "hi" }]
  }'

Env var aliases

Some projects use different names. These are equivalent:

Preferred	Also accepted
`LITELLM_API_KEY`	`OPENAI_API_KEY` (when `baseURL` points at the gateway)
`LITELLM_BASE_URL`	none
`LITELLM_MODEL`	none

Endpoints

Path	Purpose
`https://llm.corsair.dev/v1/*`	OpenAI-compatible inference
`https://llm.corsair.dev/v1/models`	List available models
`https://llm.corsair.dev/v1/key/info`	Check spend and remaining budget
`https://llm.corsair.dev/health`	Health check

Get Started

Frameworks

Adapters

Workflows (beta)

Reference

Quick start

Available models

Check your budget

Vercel AI SDK

OpenAI SDK

curl

Env var aliases

Endpoints

​Quick start

​Available models

​Check your budget

​Vercel AI SDK

​OpenAI SDK

​curl

​Env var aliases

​Endpoints

Quick start

Available models

Check your budget

Vercel AI SDK

OpenAI SDK

curl

Env var aliases

Endpoints