Skip to main content

Documentation Index

Fetch the complete documentation index at: https://to11.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

​
Vercel AI SDK

This guide shows you how to route the Vercel AI SDK through the to11 gateway using the OpenAI provider with a custom base URL.

​
Installation

npm install ai @ai-sdk/openai

​
Configuration

Create an OpenAI provider instance pointing at the to11 gateway: 
import { createOpenAI } from "@ai-sdk/openai";

const to11 = createOpenAI({
  baseURL: "http://localhost:4000/v1",
  apiKey: "sk-...", // your OpenAI API key
});

​
Generate text

import { generateText } from "ai";

const { text } = await generateText({
  model: to11("gpt-4o"),
  prompt: "Hello from to11!",
});
console.log(text);

​
Stream text

import { streamText } from "ai";

const result = streamText({
  model: to11("gpt-4o"),
  prompt: "Count to 10",
});

for await (const chunk of result.textStream) {
  process.stdout.write(chunk);
}

​
Use with Next.js

In a Next.js route handler: 
// app/api/chat/route.ts
import { streamText } from "ai";
import { createOpenAI } from "@ai-sdk/openai";

const to11 = createOpenAI({
  baseURL: "http://localhost:4000/v1",
  apiKey: process.env.OPENAI_API_KEY!,
});

export async function POST(req: Request) {
  const { messages } = await req.json();

  const result = streamText({
    model: to11("gpt-4o"),
    messages,
  });

  return result.toDataStreamResponse();
}
On the client side, use the useChat hook as normal: 
// components/chat.tsx
"use client";
import { useChat } from "@ai-sdk/react";

export default function Chat() {
  const { messages, input, handleInputChange, handleSubmit } = useChat();

  return (
    <div>
      {messages.map((m) => (
        <div key={m.id}>
          {m.role}: {m.content}
        </div>
      ))}
      <form onSubmit={handleSubmit}>
        <input value={input} onChange={handleInputChange} />
      </form>
    </div>
  );
}

​
Cross-format routing

The to11 gateway routes based on the model field. You can target Anthropic models through the same OpenAI provider: 
const { text } = await generateText({
  model: to11("claude-sonnet-4-6"),
  prompt: "Hello from to11!",
});
The gateway translates the OpenAI-format request to Anthropic format and returns the response in OpenAI format, so the Vercel AI SDK works without changes.

​
Tool calling

import { generateText, tool } from "ai";
import { z } from "zod";

const { text, toolCalls } = await generateText({
  model: to11("gpt-4o"),
  prompt: "What's the weather in Paris?",
  tools: {
    getWeather: tool({
      description: "Get current weather for a location",
      parameters: z.object({
        location: z.string(),
      }),
      execute: async ({ location }) => {
        return { temperature: 18, unit: "celsius", location };
      },
    }),
  },
});