Use MagmaRouter with the Vercel AI SDK

The Vercel AI SDK reaches a custom endpoint through @ai-sdk/openai-compatible. Use it rather than the plain openai provider, whose default path is the Responses API that MagmaRouter does not serve.

Base URL: https://api.magmarouter.com/v1
API key: Get one, starts sk-mr-
Example model: glm-5.3-xploded

createOpenAICompatible

TypeScript

// npm install ai @ai-sdk/openai-compatible
import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
import { generateText } from "ai";

const magmarouter = createOpenAICompatible({
  name: "magmarouter",
  baseURL: "https://api.magmarouter.com/v1",
  apiKey: process.env.MAGMAROUTER_API_KEY,
  includeUsage: true,
});

const { text } = await generateText({
  model: magmarouter("glm-5.3-xploded"),
  prompt: "Hello",
});
console.log(text);

Why not @ai-sdk/openai The plain openai provider defaults to the Responses API, which 404s on MagmaRouter. If you must use it, call magmarouter.chat("id") to force chat completions. The openai-compatible provider is the one to reach for.

Use MagmaRouter with the Vercel AI SDK

createOpenAICompatible

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