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Vercel AI Gateway

by vercelTypeScript

Unified LLM gateway with provider fallbacks, prompt routing, and spend observability.

Toolstable

Maturity: stable because 3y old, @ai-sdk/workflow-harness@1.0.50 released 3d ago. Derived from release and commit history, not a rating.

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2026-08-02
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Market and trust evidence

Edition 2026-08-02
Verified installs45K#453 all-time at source
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Hot change0Current hour vs same hour yesterday
Trust stateTrust pendingNo SkillPilot endorsement

This catalog entry has not entered the trust review candidate set yet.

Trust analysis is a screening signal, not a security warranty. Read the ranking and trust methodology.

In practice

Written by AI from this repository’s README · high confidence

Each model provider has its own SDK, request format, and streaming behavior to integrate separately.

Use it when

When a TypeScript app needs text generation, structured output, tool loops, or streaming chat UI across providers.

Not the right pick when

Requires Node.js 22+, and by default calls route through the Vercel AI Gateway unless you install provider packages.

Capabilities

  • unified API across OpenAI, Anthropic, Google and more
  • generateText for text generation
  • structured output with a Zod schema
  • ToolLoopAgent for tool calling agents
  • AI SDK UI hooks such as useChat for Next.js, React, Svelte and Vue
  • skill for coding agents installed with npx skills add vercel/ai

Requirements

  • Node.js 22+ and npm or another package manager

Cost: Cost not stated

Video walkthroughs

Third-party YouTube uploads matched to this tool by title, channel and repository name on 2026-08-03. Not made, reviewed or endorsed by SkillPilot. View counts and publish months are as of the match date and the month is approximate. Nothing loads from YouTube until you press play.

What the repository ships

Ships CLAUDE.mdCursor rulesHas examplesCI configured

Detected from the actual files in the repository root.

Latest release @ai-sdk/workflow-harness@1.0.50

Published 2026-07-31

Patch Changes

  • @ai-sdk/harness@1.0.50

Tags

README

hero illustration

AI SDK

The AI SDK is a provider-agnostic TypeScript toolkit designed to help you build AI-powered applications and agents using popular UI frameworks like Next.js, React, Svelte, Vue, Angular, and runtimes like Node.js.

To learn more about how to use the AI SDK, check out our API Reference and Documentation.

Installation

You will need Node.js 22+ and npm (or another package manager) installed on your local development machine.


npm install ai

Skill for Coding Agents

If you use coding agents such as Claude Code or Cursor, we highly recommend adding the AI SDK skill to your repository:


npx skills add vercel/ai

Unified Provider Architecture

The AI SDK provides a unified API to interact with model providers like OpenAI, Anthropic, Google, and more.

By default, the AI SDK uses the Vercel AI Gateway to give you access to all major providers out of the box. Just pass a model string for any supported model:


const result = await generateText({
  model: 'anthropic/claude-opus-4.6', // or 'openai/gpt-5.4', 'google/gemini-3-flash', etc.
  prompt: 'Hello!',
});

You can also connect to providers directly using their SDK packages:


npm install @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/google

import { anthropic } from '@ai-sdk/anthropic';

const result = await generateText({
  model: anthropic('claude-opus-4-6'), // or openai('gpt-5.4'), google('gemini-3-flash'), etc.
  prompt: 'Hello!',
});

Usage

Generating Text


import { generateText } from 'ai';

const { text } = await generateText({
  model: 'openai/gpt-5.4', // use Vercel AI Gateway
  prompt: 'What is an agent?',
});

Generating Structured Data


import { generateText, Output } from 'ai';
import { z } from 'zod';

const { output } = await generateText({
  model: 'openai/gpt-5.4',
  output: Output.object({
    schema: z.object({
      recipe: z.object({
        name: z.string(),
        ingredients: z.array(
          z.object({ name: z.string(), amount: z.string() }),
        ),
        steps: z.array(z.string()),
      }),
    }),
  }),
  prompt: 'Generate a lasagna recipe.',
});

Agents


import { ToolLoopAgent } from 'ai';

const sandboxAgent = new ToolLoopAgent({
  model: 'openai/gpt-5.4',
  system: 'You are an agent with access to a shell environment.',
  tools: {
    shell: openai.tools.localShell({
      execute: async ({ action }) => {
        const [cmd, ...args] = action.command;
        const sandbox = await getSandbox(); // Vercel Sandbox
        const command = await sandbox.runCommand({ cmd, args });
        return { output: await command.stdout() };
      },
    }),
  },
});

UI Integration

The AI SDK UI module provides a set of hooks that help you build chatbots and generative user interfaces. These hooks are framework agnostic, so they can be used in Next.js, React, Svelte, and Vue.

You need to install the package for your framework, e.g.:


npm install @ai-sdk/react
Agent @/agent/image-generation-agent.ts

import { openai } from '@ai-sdk/openai';
import { ToolLoopAgent, InferAgentUIMessage } from 'ai';

export const imageGenerationAgent = new ToolLoopAgent({
  model: 'openai/gpt-5.4',
  tools: {
    generateImage: openai.tools.imageGeneration({
      partialImages: 3,
    }),
  },
});

export type ImageGenerationAgentMessage = InferAgentUIMessage<
  typeof imageGenerationAgent
>;
Route (Next.js App Router) @/app/api/chat/route.ts

import { imageGenerationAgent } from '@/agent/image-generation-agent';
import { createAgentUIStreamResponse } from 'ai';

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

  return createAgentUIStreamResponse({
    agent: imageGenerationAgent,
    messages,
  });
}
UI Component for Tool @/component/image-generation-view.tsx

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

export default function ImageGenerationView({
  invocation,
}: {
  invocation: UIToolInvocation<ReturnType<typeof openai.tools.imageGeneration>>;
}) {
  switch (invocation.state) {
    case 'input-available':
      return <div>Generating image...</div>;
    case 'output-available':
      return <img src={`data:image/png;base64,${invocation.output.result}`} />;
  }
}
Page @/app/page.tsx

'use client';

import { ImageGenerationAgentMessage } from '@/agent/image-generation-agent';
import ImageGenerationView from '@/component/image-generation-view';
import { useChat } from '@ai-sdk/react';

export default function Page() {
  const { messages, status, sendMessage } =
    useChat<ImageGenerationAgentMessage>();

  const [input, setInput] = useState('');
  const handleSubmit = e => {
    e.preventDefault();
    sendMessage({ text: input });
    setInput('');
  };

  return (
    <div>
      {messages.map(message => (
        <div key={message.id}>
          <strong>{`${message.role}: `}</strong>
          {message.parts.map((part, index) => {
            switch (part.type) {
              case 'text':
                return <div key={index}>{part.text}</div>;
              case 'tool-generateImage':
                return <ImageGenerationView key={index} invocation={part} />;
            }
          })}
        </div>
      ))}

      <form onSubmit={handleSubmit}>
        <input
          value={input}
          onChange={e => setInput(e.target.value)}
          disabled={status !== 'ready'}
        />
      </form>
    </div>
  );
}

Templates

We've built templates that include AI SDK integrations for different use cases, providers, and frameworks. You can use these templates to get started with your AI-powered application.

Community

The AI SDK community can be found on the Vercel Community where you can ask questions, voice ideas, and share your projects with other people.

Contributing

Contributions to the AI SDK are welcome and highly appreciated. However, before you jump right into it, we would like you to review our Contribution Guidelines to make sure you have smooth experience contributing to AI SDK.

Authors

This library is created by Vercel and Next.js team members, with contributions from the Open Source Community.

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