Integration guide
How to use Vercel AI SDK with an OpenAI-compatible endpoint (TypeScript)
Vercel AI SDK integration guide for TypeScript. Connect to an OpenAI-compatible endpoint with a base URL swap and keep the same request schema.
Updated 2026-01-06
Vercel AI SDK works with OpenAI-compatible APIs by switching the base URL and API key.
This guide shows a TypeScript example plus a test vector you can run to validate responses.
const payload = {
model: "abliterated-model",
messages: [{ role: "user", content: "Respond with: Vercel AI SDK TypeScript ready." }],
temperature: 0.2,
};
const response: Response = await fetch("https://api.abliteration.ai/v1/chat/completions", {
method: "POST",
headers: {
"Authorization": `Bearer ${process.env.ABLIT_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify(payload),
});
if (!response.ok) throw new Error(await response.text());
const data = await response.json();
console.log(data.choices[0].message.content);Configure Vercel AI SDK
Follow this checklist to point your integration at the OpenAI-compatible endpoint.
OpenAI-compatible payload
Use this request body as a known-good payload before customizing parameters.
{
"model": "abliterated-model",
"messages": [
{ "role": "user", "content": "Respond with: Vercel AI SDK TypeScript ready." }
],
"temperature": 0.2
}Streaming and tool calling readiness
If you stream responses or send tool definitions, keep the OpenAI-compatible schema and validate against the OpenAPI spec.