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Vercel News

Vercel Open Source Program: Winter 2026 cohort How Notion Workers run untrusted code at scale with Vercel Sandbox How we run Vercel's CDN in front of Discourse From idea to secure checkout in minutes with Stripe Building Slack agents can be easy Scaling redirects to infinity on Vercel Advancing Python typing Gamma builds design-first agents with Vercel How Avalara turns pipe dreams into patent-pending with v0 Keeping community human while scaling with agents How OpenEvidence built a healthcare AI that physicians actually trust Security boundaries in agentic architectures Skills Night: 69,000+ ways agents are getting smarter Video Generation with AI Gateway We Ralph Wiggumed WebStreams to make them 10x faster How Stably ships AI testing agents in hours, not weeks How we built AEO tracking for coding agents Anyone can build agents, but it takes a platform to run them Introducing Geist Pixel The Vercel AI Accelerator is back with $6m in credits Making agent-friendly pages with content negotiation The Vercel OSS Bug Bounty program is now available Introducing the new v0 Run untrusted code with Vercel Sandbox, now generally available How Stripe built a game-changing app in a single flight with v0 How Sensay went from zero to product in six weeks AGENTS.md outperforms skills in our agent evals Agent skills explained: An FAQ Testing if "bash is all you need" AWS databases are now live on the Vercel Marketplace and v0
OpenResponses API now supported on Vercel AI Gateway - Ve...
Authors · 2026-01-15 · via Vercel News

Vercel AI Gateway is a day 0 launch partner for the OpenResponses API, an open-source specification from OpenAI for multi-provider AI interactions.

OpenResponses provides a unified interface for text generation, streaming, tool calling, image input, and reasoning across providers.

AI Gateway supports OpenResponses for:

  • Text generation: Send messages and receive responses from any supported model.

  • Streaming: Receive tokens as they're generated via server-sent events.

  • Tool calling: Define functions that models can invoke with structured arguments.

  • Image input: Send images alongside text for vision-capable models.

  • Reasoning: Enable extended thinking with configurable effort levels.

  • Provider fallbacks: Configure automatic fallback chains across models and providers.

Use OpenResponses with your AI Gateway key, and switch models across providers by changing the model string.

const response = await fetch('https://ai-gateway.vercel.sh/v1/responses', {

method: 'POST',

headers: {

'Content-Type': 'application/json',

Authorization: `Bearer ${process.env.VERCEL_AI_GATEWAY_KEY}`,

},

body: JSON.stringify({

model: 'anthropic/claude-sonnet-4.5',

input: [

{

type: 'message',

role: 'user',

content: 'Explain quantum computing in one sentence.',

}

],

}),

});

You can also use OpenResponses for more complex cases, like tool calling.

const response = await fetch('https://ai-gateway.vercel.sh/v1/responses', {

method: 'POST',

headers: {

'Content-Type': 'application/json',

Authorization: `Bearer ${process.env.VERCEL_AI_GATEWAY_KEY}`,

},

body: JSON.stringify({

model: 'zai/glm-4.7',

input: [{ type: 'message', role: 'user', content: 'What is the weather in SF?' }],

tools: [{

type: 'function',

name: 'get_weather',

description: 'Get current weather for a location',

parameters: {

type: 'object',

properties: { location: { type: 'string' } },

required: ['location'],

},

}],

}),

});

Read the OpenResponses API documentation or view the specification.