Posts tagged "Agent-runners"

Netlify Agent Runners now have a mode selector. Pick Ask and the agent reads, investigates, and answers questions about your project. Build is still the default and works exactly as before.

Ask mode is strictly read-only. The agent can’t edit files, run commands, deploy, or change settings. With no build or Deploy Preview, Ask runs are often faster and use fewer credits.

It answers with real context: your repository, your project context, and your project’s Netlify Database. Your data is often the fastest way to answer a question about your app, and Ask mode can query it with no risk of a write.

A few prompts to steal:

• “How many users are in the database?”
• “Walk me through how authentication is implemented in this project. Which files handle it, and where is the token stored?”
• “Our Largest Contentful Paint is bad on mobile. Read the code and tell me what’s most likely responsible.”
• “Plan out how we can migrate to the latest version of Astro.”

Because it’s a mode on the same run, you can switch to Build the moment an answer turns into a task — same run, same context, no re-explaining.

Ask mode is available on all agents, Claude Code, Google Gemini, and OpenAI Codex, in Agent Runners today. See the docs on Ask and Build modes.

Anthropic’s Claude Opus 5 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 5 model:

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

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

    const response = await anthropic.messages.create({
        model: 'claude-opus-5',
        max_tokens: 4096,
        output_config: { effort: 'medium' },
        messages: [
            {
                role: 'user',
                content: 'How can AI improve my coding?'
            }
        ]
    });

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

Claude Opus 5 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.

Google’s Gemini 3.6 Flash and Gemini 3.5 Flash-Lite models are now available through Netlify’s AI Gateway and Agent Runners with zero configuration required.

Use the Google GenAI SDK directly in your Netlify Functions without managing API keys or authentication. The AI Gateway handles everything automatically. Here’s an example using the Gemini 3.6 Flash model:

import { GoogleGenAI } from '@google/genai';

export default async () => {
  const ai = new GoogleGenAI({});

  const response = await ai.models.generateContent({
    model: 'gemini-3.6-flash',
    contents: 'How can AI improve my coding?',
  });

  return Response.json(response);
};

Gemini 3.6 Flash and Gemini 3.5 Flash-Lite 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.

Team Owners on Pro plans can now limit Agent Runners spend for individual members in your team, giving you finer control over how AI credits are used across your team.

Set a single credit limit that applies to every member, then customize it with overrides for specific people who need more (or less) room to work. This makes it easy to give power users a higher ceiling while keeping predictable, budget-friendly defaults for everyone else.

You’ll find these controls in Team Settings under General > AI Enablement.

This builds on our existing team-wide AI usage limits, so you can now manage AI spend both for an entire team and down to each individual member.

We’ve also updated how AI inference credit usage is displayed in your dashboard, making it easier to monitor AI usage and manage your AI spend.

Learn more about AI inference usage and how credits work.

OpenAI’s GPT-5.6 Sol, Luna, and Terra 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-5.6 Sol model:

import OpenAI from 'openai';

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

    const response = await openai.responses.create({
        model: 'gpt-5.6-sol',
        input: 'Give a concise explanation of how AI works.',
    });

    return Response.json(response);
};

GPT-5.6 Sol, Luna, and Terra 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.

Anthropic’s Claude Sonnet 5 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 5 model:

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

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

    const response = await anthropic.messages.create({
        model: 'claude-sonnet-5',
        max_tokens: 4096,
        messages: [
            {
                role: 'user',
                content: 'How can AI improve my coding?'
            }
        ]
    });

    return Response.json(response);
};

Claude Sonnet 5 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.

We have redesigned Netlify functions for an improved agent experience.

With these updates, functions are more discoverable, easier to autocomplete, update, and manage for people and agents alike. They move function configuration into code, making it type-safe and immediately visible to editors, tools, and agents, with no platform-specific naming conventions to memorize or get wrong. None of these changes are breaking, so you can adopt them on your own timeline.

Netlify Functions are serverless functions that run on-demand in response to HTTP requests or platform events. They handle server-side logic without any infrastructure to manage, and live in your repository at netlify/functions/.

To learn more about these updates in depth, check out our blog on redesigning Netlify functions for agent experience. See the table below for a summary.

Learn more in the Netlify Functions documentation, which has also been recently revamped.

Anthropic’s Claude Opus 4.8 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 4.8 model:

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

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

    const response = await anthropic.messages.create({
        model: 'claude-opus-4-8',
        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 4.8 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.

Google’s Gemini 3.5 Flash model is now available through Netlify’s Agent Runners with zero configuration required.

Learn more in the Agent Runners documentation.