Connect → Vercel AI SDK

Use AxForge with the Vercel AI SDK

The Vercel AI SDK (npm ai, Apache-2.0) is the de-facto standard TypeScript toolkit for building with models. Point it at AxForge with its OpenAI-compatible provider and the rest of your app — generateText, streamText, tools, UI hooks — is unchanged.

Install & configure

$ npm i ai @ai-sdk/openai-compatible

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

const axforge = createOpenAICompatible({
  name: "axforge",
  baseURL: "https://api.axforge.ai/v1",
  apiKey: process.env.AXFORGE_API_KEY,
});

const { text } = await generateText({
  model: axforge("chat"),
  prompt: "Hello from Stockholm",
});

Streaming

import { streamText } from "ai";
const result = streamText({ model: axforge("chat"), prompt: "Count to five" });
for await (const delta of result.textStream) process.stdout.write(delta);

Embeddings

import { embed } from "ai";
const { embedding } = await embed({
  model: axforge.textEmbeddingModel("embeddings"),
  value: "a sentence to embed",
});   // 1024-dim

Prefer the OpenAI-compatible provider. @ai-sdk/openai-compatible always calls Chat Completions — the simplest, most portable path. If you use @ai-sdk/openai instead, its default openai('id') targets the Responses API (/v1/responses) — AxForge serves that too, but for the chat path call openai.chat('id').

Model names

Pass chat / embeddings (stable role names) or an exact version like qwen3.8-27b-nvfp4 — see Models & pricing. Everything runs in the EU with zero retention.