Changelog

OpenAI’s GPT-5.5 Instant model is now available through Netlify’s AI Gateway with zero configuration required.

Use the OpenAI SDK directly in your Netlify Functions without managing API keys or authentication. The AI Gateway handles everything automatically. Here’s an example using the GPT-5.5 Instant model:

import OpenAI from 'openai';

export default async () => {
    const openai = new OpenAI();

    const response = await openai.responses.create({
        model: 'chat-latest',
        input: 'How does AI work?'
    });

    return Response.json(response);
};

Note: The model API name is chat-latest.

GPT-5.5 Instant is available for all Function types. You get automatic access to Netlify’s caching, rate limiting, and authentication infrastructure.

Learn more in the AI Gateway documentation.

The Netlify CLI now includes a netlify logs command, giving you a powerful and flexible way to access logs for your projects whether you’re a developer debugging locally or an AI agent processing structured output.

Filter by source

Use --source to pull logs from functions, edge functions, deploys, or any combination of them together. Color-coded output makes it easy to tell sources apart at a glance when you’re tailing multiple at once.

Need to narrow it down further? The --function and --edge-function flags let you filter to a specific function by name, and --url lets you target the exact deploy you want logs from.

Historical and real-time views

The --since and --until flags let you query logs over any specific time window — useful for tracking down what happened during a past deploy or incident. When you want to watch logs as they come in, --follow streams them in real time.

JSON Lines support

Pass --json to get structured output in JSON Lines format. This works in both historical and real-time modes, making netlify logs easy to pipe into your own tooling or integrate into automated workflows.

Update to the latest Netlify CLI to start using it:

npm install -g netlify-cli@latest

Then run netlify logs --help to see all available options.

You can now deploy projects to Netlify using Stripe Projects, a tool that helps you manage all the services your site needs from a single CLI without context switching between dashboards.

Learn more about this update and what it means for your workflow and working with AI agents in our blog post Agent experience moves upstream.

Get started with our Stripe Projects docs, or check out Stripe’s official Stripe Projects docs for the full list of supported services and configuration options.

Netlify Database is launching today as a serverless Postgres database that’s deeply integrated into the Netlify workflow and upgraded from the beta experience to a full Netlify primitive.

Netlify Database is designed to provide strong guardrails out-of-the-box when collaborating with team members and AI agents. For example, a marketing team member can start an agent run to suggest a feature that requires database changes, and then test the changes in a preview environment. A developer then reviews and publishes the change, and only then is the production database changed.

When you create or update a project on Netlify using Agent Runners, your AI agent will automatically detect whether your app needs a database and set it up for you as needed. If you’re working locally, a database is provisioned automatically when you install @netlify/database and deploy to Netlify.

Learn more about why we built Netlify Database and how it works in our official blog post.

What’s new

Netlify Database replaces the beta Netlify DB experience that required an extension for the initial setup. The new experience is a native Netlify primitive, which means you can customize your database setup, choose your own ORM, and more.

Pricing and availability

Netlify Database is available for Credit-based plans only. When a database is active, it consumes credits for the compute and bandwidth used. However, database storage space (i.e., the size of data stored) is free until July 1, 2026.

Different limits apply to your database depending on your plan type. Learn more in the Plan limits docs.

Usage meter updates

To help you better understand how database usage works alongside other meters, we’re adding more context to how your usage is calculated and applied.

We’re breaking down the Bandwidth and Compute meters to show you more granular usage for your team’s databases:

Learn more about how usage meters work in our Database usage meters docs.

Switching from the Netlify DB Beta experience

If you set up a database using the Netlify DB Beta experience, which required the Neon extension, you can continue using it — Netlify will continue to support these databases. If you have a Credit-based plan, you have the option to switch to the new experience.

Get started

Get started with Netlify Database from your Agent Runners dashboard, favorite local AI agent, or CLI.

Here are some quick docs links to get you started:

• Netlify Database docs
• API docs
• CLI reference
• Switch to Netlify Database

OpenAI’s GPT-5.5 and GPT-5.5 Pro models are now available through Netlify’s AI Gateway and Agent Runners with zero configuration required.

Use the OpenAI SDK directly in your Netlify Functions without managing API keys or authentication. The AI Gateway handles everything automatically. Here’s an example using the GPT-5.5 model:

import OpenAI from 'openai';

export default async () => {
    const openai = new OpenAI();

    const response = await openai.responses.create({
        model: 'gpt-5.5',
        input: 'Give a concise explanation of how AI works.',
    });

    return Response.json(response);
};

GPT-5.5 and GPT-5.5 Pro are available for all Function types and Agent Runners. You get automatic access to Netlify’s caching, rate limiting, and authentication infrastructure.

Learn more in the AI Gateway documentation and Agent Runners documentation.

You can now rename an agent run to more easily identify it in your list of runs and share it with teammates.

Previously, agent runs were automatically titled based on your prompt, which made longer lists harder to scan once you had several runs going.

Editing the title lets you give each agent run a short, meaningful name, such as the feature you’re building or the bug you’re chasing, so you can find it again quickly and send it to a teammate without needing to explain which run is which.

Try it out

Open any agent run, select the title, and type a new name. The updated title appears in your list of runs and anywhere the run is shared.

Learn more about Agent Runners.

OpenAI’s GPT Image 2 is now available through AI Gateway. You can call this model from Netlify Functions without configuring API keys; the AI Gateway provides the connection to OpenAI for you.

Example usage in a Function:

import OpenAI from 'openai';
const ai = new OpenAI();

export default async (req, context) => {
    const response = await ai.images.generate({
        model: 'gpt-image-2',
        prompt: 'Generate a realistic image of a golden retriever working at a tech startup',
        n: 1,
        size: '1024x1024',
        quality: 'low',
        output_format: 'jpeg',
        output_compression: 80
    });

    const imageBase64 = response.data[0].b64_json;
    const imageBuffer = Uint8Array.from(atob(imageBase64), (c) => c.charCodeAt(0));

    return new Response(imageBuffer, {
        status: 200,
        headers: {
            'content-type': 'image/jpeg',
            'cache-control': 'no-store'
        }
    });
};

This model works across any function type and is compatible with other Netlify primitives such as caching and rate limiting, giving you control over request behavior across your site.

See the AI Gateway documentation for details.

Agent Runners now include a frontend-design skill that guides AI agents toward creating distinctive, production-grade frontend interfaces with high design quality.

When building web components, pages, or applications, AI agents often default to generic, cookie-cutter aesthetics. The frontend-design skill steers agents toward creative, polished output that avoids that “AI slop” look and instead produces UIs with real visual identity and craft.

Here’s what a generated calculator component looks like without the skill:

And here’s the same prompt with the frontend-design skill enabled:

The skill is automatically available in Agent Runners and activates when the agent is asked to build web components, pages, or applications. No configuration required—just prompt your agent to build a UI and the skill handles the rest.

Learn more about Agent Runners and available skills in the Netlify docs.

Anthropic’s Claude Opus 4.7 model is now available through Netlify’s AI Gateway and Agent Runners with zero configuration required.

Use the Anthropic SDK directly in your Netlify Functions without managing API keys or authentication. The AI Gateway handles everything automatically. Here’s an example using the Claude Opus 4.7 model:

import Anthropic from '@anthropic-ai/sdk';

export default async () => {
    const anthropic = new Anthropic();

    const response = await anthropic.messages.create({
        model: 'claude-opus-4-7',
        max_tokens: 4096,
        messages: [
            {
                role: 'user',
                content: 'How can AI improve my coding?'
            }
        ]
    });

    return new Response(JSON.stringify(response), {
        headers: { 'Content-Type': 'application/json' }
    });
};

Claude Opus 4.7 is available for all Function types and Agent Runners. You get automatic access to Netlify’s caching, rate limiting, and authentication infrastructure.

Learn more in the AI Gateway documentation and Agent Runners documentation.