Posts tagged "Agent-runners"

Team Owners can now set a credit limit on AI inference usage to keep Agent Runners and AI Gateway costs within budget.

When your team’s usage hits the credit cap you define, active agent runs stop, new agent runs are blocked, and continued AI Gateway usage is paused to help you keep more of your credit balance.

This is especially useful for teams actively using AI features who want predictable monthly costs without manually watching the meter. Set it once, and Netlify enforces it automatically across your entire team.

Learn more in our docs on limiting AI features.

Agent run credits tracking

You can also track how much each agent run task costs on your agent runs page, shown next to how long the agent took to run the task.

Learn more about AI inference usage and how credits work.

OpenAI’s GPT-5.4 and GPT-5.4 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-5.4 model:

import OpenAI from 'openai';

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

    const response = await openai.responses.create({
        model: 'gpt-5.4',
        input: 'Give a concise explanation of how AI works.',
    });

    return Response.json(response);
};

GPT-5.4 and GPT-5.4 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.

Starting today, all completed agent runs show a screenshot of your Deploy Preview. This makes it easier to quickly see the result of an agent run and keep track of agent run sessions without opening the full preview.

Test it out today:

1. Go to your Netlify project dashboard.
2. On the left, select Agent runs, then choose an existing agent run or start a new one by entering a prompt and selecting Run task.
3. At the bottom of your agent run sessions, you’ll find a screenshot of your Deploy Preview. The screenshot is taken from the main page of your project.

Note: If you’ve set up private deploys or password protection, the screenshot will show a sign-in page instead. Learn more about Password protection.

Learn more about getting started with Agent Runners.

Linear users can now launch Netlify Agent Runners directly from any Linear issue, allowing you to seamlessly share context with your AI agent of choice. If you have your Linear issue synced with related Slack messages, this context will also be included in your agent run prompt.

Before starting your agent run, you can review and edit your prompt. Next, you can choose which AI agent to use — Claude Code, Google Gemini, or OpenAI Codex. Netlify Agent Runners doesn’t lock you into using a single AI agent so you can pick the agent that fits the task best.

To start an agent run from Linear:

1. Go to a Linear issue where you want to trigger an agent run.
2. In the top right corner, select Configure coding tools….
3. Toggle Netlify Agent Runners on.
4. Go back to the issue and in the top right corner, select Open in Netlify Agent Runners.
5. Review the prompt and choose your AI agent.
6. To start the agent run, select Run task.

Once you’ve enabled this integration from your personal Linear preference settings, any Linear issue you open in your workspace will give you the option to open with Netlify Agent Runners.

Now your entire team can save time and seamlessly share context between Linear and Netlify Agent Runners while keeping this work clearly tracked across Linear and Netlify. Learn more about Agent Runners.

Anthropic’s Claude Sonnet 4.6 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 Sonnet 4.6 model:

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

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

    const response = await anthropic.messages.create({
        model: 'claude-sonnet-4-6',
        max_tokens: 4096,
        messages: [
            {
                role: 'user',
                content: 'How can AI improve my coding?'
            }
        ]
    });

    return Response.json(response);
};

Claude Sonnet 4.6 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.

You can now sync changes from different agent runs in the Netlify dashboard. This is especially helpful if you use Netlify Drop to publish or update your project and don’t use Git workflows to sychronize versions of your project.

Syncing changes helps you and your whole team build and publish faster.

How it works

For example, let’s say you used Netlify Drop to publish your project without setting up a Git workflow.

Next, you decide to use Agent Runners to add a new landing page.

You also start an agent run to update your project’s footer and publish the new footer.

Your agent run for the new landing page doesn’t include the footer changes yet. To get these updates, start a sync run from the Agent Runners dashboard. This will apply all new updates from the live production version of your project.

Now when you publish your landing page updates, you’ll get the updated footer as well.

Syncing changes with Agent Runners enables smoother shipping with several agent runs and with multiple team members working on the same project.

Anthropic’s Claude Opus 4.6 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 4.6 model:

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

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

    const response = await anthropic.messages.create({
        model: 'claude-opus-4-6',
        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 4.6 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.

Here are some Agent Runners improvements that all people with Credit-based pricing plans can enjoy:

Shareable agent run links

You can now link directly to an agent run to share it with your team or bookmark for later review.

Agent Runners available no matter how you deploy

Agent Runners now supports static projects without build steps. Previously, projects without a build step couldn’t use Agent Runners.

Improved diff view performance

By default, the diff view now loads only the first 50 changed files with an option to load more. This improves performance for large projects.

Feedback welcome

Keep sharing your product feedback about Agent Runners in the feedback form at the bottom of our Agent Runners docs page.

And don’t forget that while you can run multiple agent runs and do other work while they run, you can also play a Netlify game while you wait for the agent to finish.

OpenAI’s GPT-5.2-Codex model is 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-5.2-Codex model:

import OpenAI from 'openai';

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

    const response = await openai.responses.create({
        model: 'gpt-5.2-codex',
        input: 'How does AI work?'
    });

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

GPT-5.2-Codex is available across Background Functions, Scheduled Functions, 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.