已验证的 AgentReady.md 证书
签发于 sig: b699fdeb1ddbd680 验证 →

已分析URL

https://vast.ai

分析另一个URL

AI-Ready评分

71 / C

一般

/ 100

Token节省量

HTML Token 25.181
Markdown Token 477
节省 98%

评分详情

语义化HTML 75/100
内容效率 55/100
AI可发现性 55/100
结构化数据 100/100
可访问性 93/100

新兴协议

已检测到 0/3

AI代理查找的well-known端点。检测到意味着代理可以自动发现并连接到您的服务。

  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card Anthropic
    /.well-known/mcp.json
  • A2A Agent Card Google
    /.well-known/agent.json

您的页面实际内容与总HTML的比率较低。页面重量的大部分是标记、脚本或样式而非内容。

如何实施

将CSS移至外部样式表,删除内联样式,最小化JavaScript,确保HTML专注于内容结构。

您的网站不支持Markdown for Agents。此Cloudflare标准允许AI代理以markdown格式请求内容,减少约80%的令牌使用。

如何实施

实现以下一项或多项:(1) 使用markdown内容响应Accept: text/markdown。(2) 提供.md URL(例如/page.md)。(3) 添加<link rel="alternate" type="text/markdown">标签。(4) 添加Link HTTP标头用于markdown发现。

{\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n res.type('text/markdown; charset=utf-8');\n return res.send(renderMarkdown('page'));\n }\n res.render('page');\n});"},{"id":"fastify","label":"Fastify","language":"javascript","filename":"server.js","code":"// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n reply.header('Vary', 'Accept');\n reply.header('Link', '; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n }\n return reply.view('/page.ejs');\n});"},{"id":"nextjs","label":"Next.js","language":"typescript","filename":"app/page/route.ts","code":"// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n const accept = req.headers.get('accept') || '';\n if (accept.includes('text/markdown')) {\n return new Response(await renderMarkdown('page'), {\n headers: {\n 'Content-Type': 'text/markdown; charset=utf-8',\n 'Vary': 'Accept',\n },\n });\n }\n // Fall through to the page component\n return new Response(null, { status: 404 });\n}"},{"id":"wordpress","label":"WordPress","language":"php","filename":"functions.php","code":"post_content));\n exit;\n});"},{"id":"static","label":"Hugo / Jekyll / Astro","language":"txt","filename":"static/page.md","code":"# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in :\n# "}] }'>

未找到Content-Signal指令。这些指令告知AI代理如何使用您的内容(搜索索引、AI输入、训练数据)。推荐位置是robots.txt。

如何实施

将Content-Signal添加到您的robots.txt:User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no。也可以作为markdown响应的HTTP标头添加。

{\n res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n done();\n});"}] }'>

许多元素具有内联样式属性。这些会为提取内容的AI代理增加噪声。

如何实施

将所有内联样式移至样式表中的CSS类。如需大量独特样式,使用Tailwind等实用CSS框架。

您的页面大量依赖<div>元素。<section>、<nav>、<header>、<footer>和<aside>等语义元素为AI代理提供有意义的结构。

如何实施

将通用<div>容器替换为适当的语义元素。对主题分组使用<section>,导航使用<nav>,页面/区块的头部和底部使用<header>/<footer>。

部分图片缺少描述性alt属性。良好的alt属性帮助AI代理理解图片内容和上下文。

如何实施

为所有图片添加描述性alt属性。描述图片展示的内容,而不仅仅是「图片」或「照片」。装饰性图片使用alt=""(空值)。

Markdown Token: 477
## Real-time GPU infrastructure

Prices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.

## How it works

From sign-up to running GPU workloads in under five minutes.

1

### Add credit & get your API key

Start with as little as $5. Grab your API key from the console — no contracts, no sales calls.

2

### Search GPUs

Filter by model, VRAM, price, and availability — via console or API.

3

### Deploy

Launch instances in seconds. Scale up or down programmatically.

## Compare. Launch. Exit. Repeat.

Every GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.

Programmatic compute provisioning in five lines of code.

`pip install vastai-sdk`

Search, filter, and deploy from your terminal.

`pip install vastai`

The interface agents call to provision infrastructure.

`curl -H "Authorization: Bearer $VAST_API_KEY" https://cloud.vast.ai/api/v1/bundles/`

## One platform. Three ways to deploy.

GPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.

## Popular Models, Ready to Deploy

Launch pre-configured templates for the most popular open-source models.

> “Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”

## How teams build on Vast.ai

See how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.

[

![Creatix Technology](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-creatix-sm.webp&w=2048&q=75)

](https://vast.ai/case-studies/creatix-technology)

[

![PAICON](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-paicon-sm.webp&w=2048&q=75)

](https://vast.ai/case-studies/paicon)

## Start with $5. Scale to 20,000 GPUs.

No humans required.
GPU Infrastructure for AI Agents | Vast.ai

[![Vast AI](https://vast.ai/vast_logo.svg)](https://vast.ai/)

[Contact Sales](https://vast.ai/contact-sales)[Console](https://cloud.vast.ai/)

-   Developers

    [Quickstart](https://docs.vast.ai/cli/get-started)[CLI](https://vast.ai/developers/cli)[Python SDK](https://vast.ai/developers/sdk)[API](https://vast.ai/developers/api)[Docs](https://docs.vast.ai/)

-   [Pricing](https://vast.ai/pricing)
-   Products

    [GPU Cloud](https://vast.ai/products/gpu-cloud)[Clusters](https://vast.ai/products/clusters)[Serverless](https://vast.ai/products/serverless)[Model Library](https://vast.ai/model-library)

-   Hosting

    [Hosting](https://vast.ai/hosting)[Data Centers](https://vast.ai/data-center-application)[Financing](https://vast.ai/hosting/finance)[Hardware](https://vast.ai/hosting/hardware)[Docs](https://docs.vast.ai/documentation/host/hosting-overview)

-   Use Cases

    [All Use Cases](https://vast.ai/use-cases)[AI Agents](https://vast.ai/use-cases/ai-agents)[AI Fine Tuning](https://vast.ai/use-cases/ai-fine-tuning)[AI Image + Video Generation](https://vast.ai/use-cases/ai-image-video-generation)[AI Text Generation](https://vast.ai/use-cases/ai-text-generation)[AI/ML Frameworks](https://vast.ai/use-cases/ai-ml-frameworks)[Audio-to-Text Transcription](https://vast.ai/use-cases/audio-to-text-transcription)[Batch Data Processing](https://vast.ai/use-cases/batch-data-processing)[GPU Programming](https://vast.ai/use-cases/gpu-programming)[Graphics Rendering](https://vast.ai/use-cases/3d-rendering)[Virtual Computing](https://vast.ai/use-cases/virtual-computing)

-   Company

    [About](https://vast.ai/about)[Blog](https://vast.ai/blog)[Careers](https://vast.ai/careers)[Enterprise](https://vast.ai/enterprise)[Case Studies](https://vast.ai/case-studies)[Startup Program](https://vast.ai/startup)[FAQ](https://docs.vast.ai/faq)[Press Releases](https://vast.ai/press-releases)

SOC 2 Certified

# Agent-Ready AI
Infrastructure.

Vast is the infrastructure layer where AI agents autonomously design, procure, and optimize their own compute. API-native provisioning. Real-time pricing. Per-second billing.

Get Started

[CLI Docs](https://docs.vast.ai/cli/get-started)

700K+ transactions/mo20,000+ GPUs40+ data centers68+ GPU types

Trusted by developers and AI teams worldwide

![CHAI](https://vast.ai/partners/Chai.svg)

![BOSCH](https://vast.ai/partners/bosch.svg)

![Cognition](https://vast.ai/partners/Path%201.svg)

![Inria](https://vast.ai/partners/inria.svg)

![IBM](https://vast.ai/partners/ibm-svgrepo-com.svg)

![Brave](https://vast.ai/partners/brave.svg)

![Speechify](https://vast.ai/partners/speechify.svg)

![CHAI](https://vast.ai/partners/Chai.svg)

![BOSCH](https://vast.ai/partners/bosch.svg)

![Cognition](https://vast.ai/partners/Path%201.svg)

![Inria](https://vast.ai/partners/inria.svg)

![IBM](https://vast.ai/partners/ibm-svgrepo-com.svg)

![Brave](https://vast.ai/partners/brave.svg)

![Speechify](https://vast.ai/partners/speechify.svg)

## Real-time GPU infrastructure

Prices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.

[View All GPUs](https://vast.ai/pricing)

## How it works

From sign-up to running GPU workloads in under five minutes.

1

### Add credit & get your API key

Start with as little as $5. Grab your API key from the console — no contracts, no sales calls.

2

### Search GPUs

Filter by model, VRAM, price, and availability — via console or API.

3

### Deploy

Launch instances in seconds. Scale up or down programmatically.

[Get Started for $5](https://cloud.vast.ai/)

## Compare. Launch. Exit. Repeat.

Every GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.

Python SDK[Docs →](https://docs.vast.ai/sdk/python/quickstart)

Programmatic compute provisioning in five lines of code.

`pip install vastai-sdk`

CLI[Docs →](https://docs.vast.ai/cli/get-started)

Search, filter, and deploy from your terminal.

`pip install vastai`

REST API[Docs →](https://docs.vast.ai/api-reference/introduction)

The interface agents call to provision infrastructure.

`curl -H "Authorization: Bearer $VAST_API_KEY" https://cloud.vast.ai/api/v1/bundles/`

[Explore Developer Tools](https://vast.ai/developers)

deploy.py

## One platform. Three ways to deploy.

GPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.

### GPU Cloud

On-demand instances across 40+ data centers and 20,000+ GPUs. Deploy in seconds via CLI, SDK, or API.

[Explore GPU Cloud](https://vast.ai/products/gpu-cloud)

### Serverless

Deploy models as endpoints with automatic benchmarking and optimization across GPU types. Autoscale to zero, pay only for compute time.

[Try Serverless](https://vast.ai/products/serverless)

### Clusters

Dedicated multi-node GPU clusters with InfiniBand networking for large-scale training.

[View Clusters](https://vast.ai/products/clusters)

![Case Studies](https://vast.ai/uploads/aurora/images/img-home-caseStudies.png)

Built for Every AI Workload

From training to inference, fine-tuning to rendering — run any GPU workload on Vast.

[Use Cases](https://vast.ai/use-cases)

[AI/ML Frameworks](https://vast.ai/use-cases/ai-ml-frameworks)[AI Text Generation](https://vast.ai/use-cases/ai-text-generation)[AI Image + Video Generation](https://vast.ai/use-cases/ai-image-video-generation)[AI Agents](https://vast.ai/use-cases/ai-agents)[Batch Data Processing](https://vast.ai/use-cases/batch-data-processing)[Audio-to-Text Transcription](https://vast.ai/use-cases/audio-to-text-transcription)[AI Fine Tuning](https://vast.ai/use-cases/ai-fine-tuning)[Virtual Computing](https://vast.ai/use-cases/virtual-computing)[GPU Programming](https://vast.ai/use-cases/gpu-programming)[Graphics Rendering](https://vast.ai/use-cases/3d-rendering)

## Popular Models, Ready to Deploy

Launch pre-configured templates for the most popular open-source models.

![](https://vast.ai/model/logos/google.svg)

### Gemma 4 26B A4B IT

Gemma 4 26B A4B MoE vision-language model by Google with 256K context and thinking mode

[Deploy](https://vast.ai/model/gemma-4-26b-a4b-it)

![](https://vast.ai/model/logos/google.svg)

### Gemma 4 31B IT

Gemma 4 31B dense vision-language model by Google with 256K context and thinking mode

[Deploy](https://vast.ai/model/gemma-4-31b-it)

![](https://vast.ai/model/logos/lightricks.svg)

### LTX-2.3

LTX-2.3 is a DiT-based audio-video foundation model with improved quality and prompt adherence for synchronized video and audio generation

[Deploy](https://vast.ai/model/ltx-2-3)

![](https://vast.ai/model/logos/alibaba.svg)

### Qwen3.5 397B A17B

Efficient multimodal reasoning model with hybrid DeltaNet-attention architecture

[Deploy](https://vast.ai/model/qwen35-397b-a17b)

[Browse Model Library](https://vast.ai/model-library)

> “Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”

## How teams build on Vast.ai

See how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.

[

![Creatix Technology](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-creatix-sm.webp&w=2048&q=75)

](https://vast.ai/case-studies/creatix-technology)

Creatix Technology

[### Creatix Technology Scales to 200K Daily Users with Vast.ai's GPU Cloud](https://vast.ai/case-studies/creatix-technology)

How a fast-growing AI app company cut infrastructure costs by over 60% and powered millions of new users with Vast.ai.

Tech

[View Case Study](https://vast.ai/case-studies/creatix-technology)

[

![PAICON](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-paicon-sm.webp&w=2048&q=75)

](https://vast.ai/case-studies/paicon)

PAICON

[### PAICON Accelerates Global, Data-Centric Cancer Diagnostics with Vast.ai](https://vast.ai/case-studies/paicon)

How a global oncology data platform used Vast.ai’s GPU cloud to rapidly iterate on Athena—validating that diversity can matter more than scale—while significantly reducing research-phase training costs.

Medical AI

[View Case Study](https://vast.ai/case-studies/paicon)

## Start with $5. Scale to 20,000 GPUs.

No humans required.

[Get Started](https://cloud.vast.ai/)[Contact Sales](https://vast.ai/contact-sales)

将此文件上传到服务器的/index.md,以便AI代理可以访问页面的干净版本。您也可以配置Accept: text/markdown内容协商以自动提供。

我们的建议

下载llms.txt
# Vast AI

> Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep learning, and rendering. Flexible pricing, fast setup, and global availability

## Main
- [GPU Infrastructure for AI Agents | Vast.ai](https://vast.ai): Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep…
- [Pricing](https://vast.ai/pricing)
- [GPU Cloud](https://vast.ai/products/gpu-cloud)
- [Clusters](https://vast.ai/products/clusters)
- [Serverless](https://vast.ai/products/serverless)
- [About](https://vast.ai/about)
- [Developers](https://vast.ai/developers)
- [CLI](https://vast.ai/developers/cli)
- [Python SDK](https://vast.ai/developers/sdk)
- [API](https://vast.ai/developers/api)
- [Model Library](https://vast.ai/model-library)
- [Hosting](https://vast.ai/hosting)
- [Data Centers](https://vast.ai/data-center-application)
- [Financing](https://vast.ai/hosting/finance)

## Blog
- [Blog](https://vast.ai/blog)

## Legal
- [Terms of Service](https://vast.ai/terms)
- [Privacy Policy](https://vast.ai/privacy)

## Support
- [Contact Sales](https://vast.ai/contact-sales)
- [Get in Touch](https://vast.ai/contact)

完整llms.txt需要全域分析(即将推出)

将此文件上传到域名根目录的https://vast.ai/llms.txt。ChatGPT、Claude和Perplexity等AI代理会检查此文件以了解您的网站结构。

该网站已有llms.txt文件。

格式有效
# Vast.ai

> Vast.ai is a GPU cloud platform offering on-demand access to thousands of GPUs — RTX 4090s, H100s, B200s, and more — from data centers and independent hosts worldwide. No minimum commitment.

Sign up and search GPUs at [https://cloud.vast.ai](https://cloud.vast.ai).

## AI Agents (Claude Code, Cursor, Windsurf, etc.)

- [CLI SKILL.md](https://raw.githubusercontent.com/vast-ai/vast-cli/master/vastai/SKILL.md) — commands, auth, quirks, common errors
- [SDK SKILL.md](https://raw.githubusercontent.com/vast-ai/vast-cli/master/vastai_sdk/SKILL.md) — Python VastAI class, SyncClient, AsyncClient, Serverless

or install the Vast.ai skill:

```
npx skills add vast-ai/vast-cli
```

## Get Started

- [Quickstart](https://docs.vast.ai/documentation/get-started/quickstart.md)
- [CLI overview & install](https://docs.vast.ai/cli/get-started.md)
- [Python SDK](https://docs.vast.ai/sdk/python/quickstart.md)
- [REST API](https://docs.vast.ai/api-reference/introduction.md)
- [OpenAPI spec](https://raw.githubusercontent.com/vast-ai/vast-cli/master/openapi/yaml/combined_api.yaml)

## Instances

- [Find and rent](https://docs.vast.ai/documentation/instances/choosing/find-and-rent.md)
- [Instance types](https://docs.vast.ai/documentation/instances/choosing/instance-types.md)
- [Reserved instances](https://docs.vast.ai/documentation/instances/choosing/reserved-instances.md)
- [SSH](https://docs.vast.ai/documentation/instances/connect/ssh.md)
- [Networking & ports](https://docs.vast.ai/documentation/instances/connect/networking.md)
- [Storage & volumes](https://docs.vast.ai/documentation/instances/storage/volumes.md)
- [Data movement](https://docs.vast.ai/documentation/instances/storage/data-movement.md)
- [Virtual machines](https://docs.vast.ai/documentation/instances/virtual-machines.md)
- [Pricing](https://docs.vast.ai/documentation/instances/pricing.md)
- [Manage instances](https://docs.vast.ai/documentation/instances/manage-instances.md)

## Serverless

- [Overview](https://docs.vast.ai/documentation/serverless/overview.md)
- [Getting started](https://docs.vast.ai/documentation/serverless/getting-started-with-serverless.md)
- [vLLM](https://docs.vast.ai/documentation/serverless/vllm.md)
- [ComfyUI](https://docs.vast.ai/documentation/serverless/comfy-ui.md)
- [Worker states](https://docs.vast.ai/documentation/serverless/worker-states.md)
- [Pricing](https://docs.vast.ai/documentation/serverless/pricing.md)
- [SDK overview](https://docs.vast.ai/documentation/serverless/SDKoverview.md)

## API Reference

- [Introduction](https://docs.vast.ai/api-reference/introduction.md)
- [Creating instances](https://docs.vast.ai/api-reference/creating-instances-with-api.md)
- [Permissions & authorization](https://docs.vast.ai/api-reference/permissions-and-authorization.md)
- [Rate limits & errors](https://docs.vast.ai/api-reference/rate-limits-and-errors.md)

## Hosting (Suppliers)

- [Hosting overview](https://docs.vast.ai/documentation/host/hosting-overview.md)
- [Earning](https://docs.vast.ai/documentation/host/earning.md)
- [Verification](https://docs.vast.ai/documentation/host/understanding-verification.md)
- [Payment](https://docs.vast.ai/documentation/host/payment.md)

## Reference

- [Billing](https://docs.vast.ai/documentation/reference/billing.md)
- [API keys](https://docs.vast.ai/documentation/reference/keys.md)
- [Account settings](https://docs.vast.ai/documentation/reference/account-settings.md)
- [FAQ](https://docs.vast.ai/documentation/reference/faq/general.md)
- [Troubleshooting](https://docs.vast.ai/documentation/reference/troubleshooting.md)

## General Information

- [GPU pricing](https://vast.ai/pricing)
- [Model library](https://vast.ai/model-library)
- [Hosting / become a supplier](https://vast.ai/hosting)
- [Case studies](https://vast.ai/case-studies)
- [Serverless product](https://vast.ai/products/serverless)
- [GPU Cloud product](https://vast.ai/products/gpu-cloud)
- [Clusters product](https://vast.ai/products/clusters)
- [Developers](https://vast.ai/developers)
- [CLI landing](https://vast.ai/developers/cli)
- [SDK landing](https://vast.ai/developers/sdk)
- [About](https://vast.ai/about)
- [Blog](https://vast.ai/blog)

## Support

- [Live chat support](https://go.crisp.chat/chat/embed/?website_id=734d7b1a-86fc-470d-b60a-f6d4840573ae): 24/7 live chat support for technical issues, billing questions, and platform guidance.
- [Discord](https://discord.gg/vast): Community support and discussion.
- [Docs home](https://docs.vast.ai): Main documentation site.
- [Docs llms index](https://docs.vast.ai/llms.txt): Full docs index for LLM and agent discovery.

## Optional

- [Full resource index](https://vast.ai/llms-full.txt): Expanded catalog of platform pages, GPU pages, documentation, and articles.

语义化HTML

使用article或main元素 (100/100)

Has <main>

正确的标题层级 (100/100)

Clean heading hierarchy

使用语义化HTML元素 (25/100)

14 semantic elements, 169 divs (ratio: 8%)

有意义的图片alt属性 (42/100)

10/24 images with meaningful alt text

较低的div嵌套深度 (91/100)

Avg div depth: 5.9, max: 9

内容效率

良好的Token减少比率 (100/100)

98% token reduction (HTML→Markdown)

良好的内容与噪声比 (0/100)

Content ratio: 1.9% (1508 content chars / 79818 HTML bytes)

最少的内联样式 (0/100)

78/640 elements with inline styles (12.2%)

合理的页面重量 (100/100)

HTML size: 78KB

AI可发现性

有llms.txt文件 (100/100)

llms.txt exists and is valid

有robots.txt文件 (100/100)

robots.txt exists

robots.txt允许AI机器人 (100/100)

All major AI bots allowed

有sitemap.xml (100/100)

Sitemap found

Markdown for Agents支持 (0/100)
&#10007; Accept: text/markdown &#10007; .md URL &#10007; <link> tag &#10007; Link header
有Content-Signal(robots.txt或HTTP标头) (0/100)
&#10003; robots.txt &#10003; HTTP header &#10007; Policy

结构化数据

有Schema.org / JSON-LD (100/100)

JSON-LD found: Organization, WebSite

有Open Graph标签 (100/100)

All OG tags present

有meta描述 (100/100)

Meta description: 197 chars

有规范URL (100/100)

Canonical URL present

有lang属性 (100/100)

lang="en"

可访问性

无需JavaScript即可获取内容 (100/100)

Content available without JavaScript

合理的页面大小 (100/100)

Page size: 78KB

内容在HTML中位置靠前 (75/100)

Main content starts at 36% of HTML

{
  "url": "https://vast.ai",
  "timestamp": 1776792074480,
  "fetch": {
    "mode": "simple",
    "timeMs": 110,
    "htmlSizeBytes": 79818,
    "supportsMarkdown": false,
    "markdownAgents": {
      "contentNegotiation": false,
      "mdUrl": {
        "found": false,
        "url": null
      },
      "linkTag": {
        "found": false,
        "url": null
      },
      "linkHeader": {
        "found": false,
        "url": null
      },
      "responseHeaders": {
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  "markdown": "## Real-time GPU infrastructure\n\nPrices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.\n\n## How it works\n\nFrom sign-up to running GPU workloads in under five minutes.\n\n1\n\n### Add credit & get your API key\n\nStart with as little as $5. Grab your API key from the console — no contracts, no sales calls.\n\n2\n\n### Search GPUs\n\nFilter by model, VRAM, price, and availability — via console or API.\n\n3\n\n### Deploy\n\nLaunch instances in seconds. Scale up or down programmatically.\n\n## Compare. Launch. Exit. Repeat.\n\nEvery GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.\n\nProgrammatic compute provisioning in five lines of code.\n\n`pip install vastai-sdk`\n\nSearch, filter, and deploy from your terminal.\n\n`pip install vastai`\n\nThe interface agents call to provision infrastructure.\n\n`curl -H \"Authorization: Bearer $VAST_API_KEY\" https://cloud.vast.ai/api/v1/bundles/`\n\n## One platform. Three ways to deploy.\n\nGPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.\n\n## Popular Models, Ready to Deploy\n\nLaunch pre-configured templates for the most popular open-source models.\n\n> “Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”\n\n## How teams build on Vast.ai\n\nSee how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.\n\n[\n\n![Creatix Technology](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-creatix-sm.webp&w=2048&q=75)\n\n](https://vast.ai/case-studies/creatix-technology)\n\n[\n\n![PAICON](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-paicon-sm.webp&w=2048&q=75)\n\n](https://vast.ai/case-studies/paicon)\n\n## Start with $5. Scale to 20,000 GPUs.\n\nNo humans required.\n",
  "fullPageMarkdown": "GPU Infrastructure for AI Agents | Vast.ai\n\n[![Vast AI](https://vast.ai/vast_logo.svg)](https://vast.ai/)\n\n[Contact Sales](https://vast.ai/contact-sales)[Console](https://cloud.vast.ai/)\n\n-   Developers\n\n    [Quickstart](https://docs.vast.ai/cli/get-started)[CLI](https://vast.ai/developers/cli)[Python SDK](https://vast.ai/developers/sdk)[API](https://vast.ai/developers/api)[Docs](https://docs.vast.ai/)\n\n-   [Pricing](https://vast.ai/pricing)\n-   Products\n\n    [GPU Cloud](https://vast.ai/products/gpu-cloud)[Clusters](https://vast.ai/products/clusters)[Serverless](https://vast.ai/products/serverless)[Model Library](https://vast.ai/model-library)\n\n-   Hosting\n\n    [Hosting](https://vast.ai/hosting)[Data Centers](https://vast.ai/data-center-application)[Financing](https://vast.ai/hosting/finance)[Hardware](https://vast.ai/hosting/hardware)[Docs](https://docs.vast.ai/documentation/host/hosting-overview)\n\n-   Use Cases\n\n    [All Use Cases](https://vast.ai/use-cases)[AI Agents](https://vast.ai/use-cases/ai-agents)[AI Fine Tuning](https://vast.ai/use-cases/ai-fine-tuning)[AI Image + Video Generation](https://vast.ai/use-cases/ai-image-video-generation)[AI Text Generation](https://vast.ai/use-cases/ai-text-generation)[AI/ML Frameworks](https://vast.ai/use-cases/ai-ml-frameworks)[Audio-to-Text Transcription](https://vast.ai/use-cases/audio-to-text-transcription)[Batch Data Processing](https://vast.ai/use-cases/batch-data-processing)[GPU Programming](https://vast.ai/use-cases/gpu-programming)[Graphics Rendering](https://vast.ai/use-cases/3d-rendering)[Virtual Computing](https://vast.ai/use-cases/virtual-computing)\n\n-   Company\n\n    [About](https://vast.ai/about)[Blog](https://vast.ai/blog)[Careers](https://vast.ai/careers)[Enterprise](https://vast.ai/enterprise)[Case Studies](https://vast.ai/case-studies)[Startup Program](https://vast.ai/startup)[FAQ](https://docs.vast.ai/faq)[Press Releases](https://vast.ai/press-releases)\n\nSOC 2 Certified\n\n# Agent-Ready AI\nInfrastructure.\n\nVast is the infrastructure layer where AI agents autonomously design, procure, and optimize their own compute. API-native provisioning. Real-time pricing. Per-second billing.\n\nGet Started\n\n[CLI Docs](https://docs.vast.ai/cli/get-started)\n\n700K+ transactions/mo20,000+ GPUs40+ data centers68+ GPU types\n\nTrusted by developers and AI teams worldwide\n\n![CHAI](https://vast.ai/partners/Chai.svg)\n\n![BOSCH](https://vast.ai/partners/bosch.svg)\n\n![Cognition](https://vast.ai/partners/Path%201.svg)\n\n![Inria](https://vast.ai/partners/inria.svg)\n\n![IBM](https://vast.ai/partners/ibm-svgrepo-com.svg)\n\n![Brave](https://vast.ai/partners/brave.svg)\n\n![Speechify](https://vast.ai/partners/speechify.svg)\n\n![CHAI](https://vast.ai/partners/Chai.svg)\n\n![BOSCH](https://vast.ai/partners/bosch.svg)\n\n![Cognition](https://vast.ai/partners/Path%201.svg)\n\n![Inria](https://vast.ai/partners/inria.svg)\n\n![IBM](https://vast.ai/partners/ibm-svgrepo-com.svg)\n\n![Brave](https://vast.ai/partners/brave.svg)\n\n![Speechify](https://vast.ai/partners/speechify.svg)\n\n## Real-time GPU infrastructure\n\nPrices set by supply and demand across 20,000+ GPUs. Transparent. Programmatically queryable.\n\n[View All GPUs](https://vast.ai/pricing)\n\n## How it works\n\nFrom sign-up to running GPU workloads in under five minutes.\n\n1\n\n### Add credit & get your API key\n\nStart with as little as $5. Grab your API key from the console — no contracts, no sales calls.\n\n2\n\n### Search GPUs\n\nFilter by model, VRAM, price, and availability — via console or API.\n\n3\n\n### Deploy\n\nLaunch instances in seconds. Scale up or down programmatically.\n\n[Get Started for $5](https://cloud.vast.ai/)\n\n## Compare. Launch. Exit. Repeat.\n\nEvery GPU on Vast.ai is provisioned through code. The same API that developers use to deploy in seconds is the interface agents use to procure and optimize at scale.\n\nPython SDK[Docs →](https://docs.vast.ai/sdk/python/quickstart)\n\nProgrammatic compute provisioning in five lines of code.\n\n`pip install vastai-sdk`\n\nCLI[Docs →](https://docs.vast.ai/cli/get-started)\n\nSearch, filter, and deploy from your terminal.\n\n`pip install vastai`\n\nREST API[Docs →](https://docs.vast.ai/api-reference/introduction)\n\nThe interface agents call to provision infrastructure.\n\n`curl -H \"Authorization: Bearer $VAST_API_KEY\" https://cloud.vast.ai/api/v1/bundles/`\n\n[Explore Developer Tools](https://vast.ai/developers)\n\ndeploy.py\n\n## One platform. Three ways to deploy.\n\nGPU Cloud for full control. Serverless for zero-ops inference. Clusters for large-scale training.\n\n### GPU Cloud\n\nOn-demand instances across 40+ data centers and 20,000+ GPUs. Deploy in seconds via CLI, SDK, or API.\n\n[Explore GPU Cloud](https://vast.ai/products/gpu-cloud)\n\n### Serverless\n\nDeploy models as endpoints with automatic benchmarking and optimization across GPU types. Autoscale to zero, pay only for compute time.\n\n[Try Serverless](https://vast.ai/products/serverless)\n\n### Clusters\n\nDedicated multi-node GPU clusters with InfiniBand networking for large-scale training.\n\n[View Clusters](https://vast.ai/products/clusters)\n\n![Case Studies](https://vast.ai/uploads/aurora/images/img-home-caseStudies.png)\n\nBuilt for Every AI Workload\n\nFrom training to inference, fine-tuning to rendering — run any GPU workload on Vast.\n\n[Use Cases](https://vast.ai/use-cases)\n\n[AI/ML Frameworks](https://vast.ai/use-cases/ai-ml-frameworks)[AI Text Generation](https://vast.ai/use-cases/ai-text-generation)[AI Image + Video Generation](https://vast.ai/use-cases/ai-image-video-generation)[AI Agents](https://vast.ai/use-cases/ai-agents)[Batch Data Processing](https://vast.ai/use-cases/batch-data-processing)[Audio-to-Text Transcription](https://vast.ai/use-cases/audio-to-text-transcription)[AI Fine Tuning](https://vast.ai/use-cases/ai-fine-tuning)[Virtual Computing](https://vast.ai/use-cases/virtual-computing)[GPU Programming](https://vast.ai/use-cases/gpu-programming)[Graphics Rendering](https://vast.ai/use-cases/3d-rendering)\n\n## Popular Models, Ready to Deploy\n\nLaunch pre-configured templates for the most popular open-source models.\n\n![](https://vast.ai/model/logos/google.svg)\n\n### Gemma 4 26B A4B IT\n\nGemma 4 26B A4B MoE vision-language model by Google with 256K context and thinking mode\n\n[Deploy](https://vast.ai/model/gemma-4-26b-a4b-it)\n\n![](https://vast.ai/model/logos/google.svg)\n\n### Gemma 4 31B IT\n\nGemma 4 31B dense vision-language model by Google with 256K context and thinking mode\n\n[Deploy](https://vast.ai/model/gemma-4-31b-it)\n\n![](https://vast.ai/model/logos/lightricks.svg)\n\n### LTX-2.3\n\nLTX-2.3 is a DiT-based audio-video foundation model with improved quality and prompt adherence for synchronized video and audio generation\n\n[Deploy](https://vast.ai/model/ltx-2-3)\n\n![](https://vast.ai/model/logos/alibaba.svg)\n\n### Qwen3.5 397B A17B\n\nEfficient multimodal reasoning model with hybrid DeltaNet-attention architecture\n\n[Deploy](https://vast.ai/model/qwen35-397b-a17b)\n\n[Browse Model Library](https://vast.ai/model-library)\n\n> “Vast.ai reduced our GPU costs by over 60% while giving us the flexibility to scale training jobs on demand. We serve 200K daily users without breaking the bank.”\n\n## How teams build on Vast.ai\n\nSee how teams use Vast.ai to scale AI infrastructure and accelerate production workloads.\n\n[\n\n![Creatix Technology](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-creatix-sm.webp&w=2048&q=75)\n\n](https://vast.ai/case-studies/creatix-technology)\n\nCreatix Technology\n\n[### Creatix Technology Scales to 200K Daily Users with Vast.ai's GPU Cloud](https://vast.ai/case-studies/creatix-technology)\n\nHow a fast-growing AI app company cut infrastructure costs by over 60% and powered millions of new users with Vast.ai.\n\nTech\n\n[View Case Study](https://vast.ai/case-studies/creatix-technology)\n\n[\n\n![PAICON](https://vast.ai/_next/image?url=%2Fcase-studies%2Fimg-caseStudy-paicon-sm.webp&w=2048&q=75)\n\n](https://vast.ai/case-studies/paicon)\n\nPAICON\n\n[### PAICON Accelerates Global, Data-Centric Cancer Diagnostics with Vast.ai](https://vast.ai/case-studies/paicon)\n\nHow a global oncology data platform used Vast.ai’s GPU cloud to rapidly iterate on Athena—validating that diversity can matter more than scale—while significantly reducing research-phase training costs.\n\nMedical AI\n\n[View Case Study](https://vast.ai/case-studies/paicon)\n\n## Start with $5. Scale to 20,000 GPUs.\n\nNo humans required.\n\n[Get Started](https://cloud.vast.ai/)[Contact Sales](https://vast.ai/contact-sales)\n",
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  "llmsTxtPreview": "# Vast AI\n\n> Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep learning, and rendering. Flexible pricing, fast setup, and global availability\n\n## Main\n- [GPU Infrastructure for AI Agents | Vast.ai](https://vast.ai): Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep…\n- [Pricing](https://vast.ai/pricing)\n- [GPU Cloud](https://vast.ai/products/gpu-cloud)\n- [Clusters](https://vast.ai/products/clusters)\n- [Serverless](https://vast.ai/products/serverless)\n- [About](https://vast.ai/about)\n- [Developers](https://vast.ai/developers)\n- [CLI](https://vast.ai/developers/cli)\n- [Python SDK](https://vast.ai/developers/sdk)\n- [API](https://vast.ai/developers/api)\n- [Model Library](https://vast.ai/model-library)\n- [Hosting](https://vast.ai/hosting)\n- [Data Centers](https://vast.ai/data-center-application)\n- [Financing](https://vast.ai/hosting/finance)\n\n## Blog\n- [Blog](https://vast.ai/blog)\n\n## Legal\n- [Terms of Service](https://vast.ai/terms)\n- [Privacy Policy](https://vast.ai/privacy)\n\n## Support\n- [Contact Sales](https://vast.ai/contact-sales)\n- [Get in Touch](https://vast.ai/contact)\n\n",
  "llmsTxtExisting": "# Vast.ai\n\n> Vast.ai is a GPU cloud platform offering on-demand access to thousands of GPUs — RTX 4090s, H100s, B200s, and more — from data centers and independent hosts worldwide. No minimum commitment.\n\nSign up and search GPUs at [https://cloud.vast.ai](https://cloud.vast.ai).\n\n## AI Agents (Claude Code, Cursor, Windsurf, etc.)\n\n- [CLI SKILL.md](https://raw.githubusercontent.com/vast-ai/vast-cli/master/vastai/SKILL.md) — commands, auth, quirks, common errors\n- [SDK SKILL.md](https://raw.githubusercontent.com/vast-ai/vast-cli/master/vastai_sdk/SKILL.md) — Python VastAI class, SyncClient, AsyncClient, Serverless\n\nor install the Vast.ai skill:\n\n```\nnpx skills add vast-ai/vast-cli\n```\n\n## Get Started\n\n- [Quickstart](https://docs.vast.ai/documentation/get-started/quickstart.md)\n- [CLI overview & install](https://docs.vast.ai/cli/get-started.md)\n- [Python SDK](https://docs.vast.ai/sdk/python/quickstart.md)\n- [REST API](https://docs.vast.ai/api-reference/introduction.md)\n- [OpenAPI spec](https://raw.githubusercontent.com/vast-ai/vast-cli/master/openapi/yaml/combined_api.yaml)\n\n## Instances\n\n- [Find and rent](https://docs.vast.ai/documentation/instances/choosing/find-and-rent.md)\n- [Instance types](https://docs.vast.ai/documentation/instances/choosing/instance-types.md)\n- [Reserved instances](https://docs.vast.ai/documentation/instances/choosing/reserved-instances.md)\n- [SSH](https://docs.vast.ai/documentation/instances/connect/ssh.md)\n- [Networking & ports](https://docs.vast.ai/documentation/instances/connect/networking.md)\n- [Storage & volumes](https://docs.vast.ai/documentation/instances/storage/volumes.md)\n- [Data movement](https://docs.vast.ai/documentation/instances/storage/data-movement.md)\n- [Virtual machines](https://docs.vast.ai/documentation/instances/virtual-machines.md)\n- [Pricing](https://docs.vast.ai/documentation/instances/pricing.md)\n- [Manage instances](https://docs.vast.ai/documentation/instances/manage-instances.md)\n\n## Serverless\n\n- [Overview](https://docs.vast.ai/documentation/serverless/overview.md)\n- [Getting started](https://docs.vast.ai/documentation/serverless/getting-started-with-serverless.md)\n- [vLLM](https://docs.vast.ai/documentation/serverless/vllm.md)\n- [ComfyUI](https://docs.vast.ai/documentation/serverless/comfy-ui.md)\n- [Worker states](https://docs.vast.ai/documentation/serverless/worker-states.md)\n- [Pricing](https://docs.vast.ai/documentation/serverless/pricing.md)\n- [SDK overview](https://docs.vast.ai/documentation/serverless/SDKoverview.md)\n\n## API Reference\n\n- [Introduction](https://docs.vast.ai/api-reference/introduction.md)\n- [Creating instances](https://docs.vast.ai/api-reference/creating-instances-with-api.md)\n- [Permissions & authorization](https://docs.vast.ai/api-reference/permissions-and-authorization.md)\n- [Rate limits & errors](https://docs.vast.ai/api-reference/rate-limits-and-errors.md)\n\n## Hosting (Suppliers)\n\n- [Hosting overview](https://docs.vast.ai/documentation/host/hosting-overview.md)\n- [Earning](https://docs.vast.ai/documentation/host/earning.md)\n- [Verification](https://docs.vast.ai/documentation/host/understanding-verification.md)\n- [Payment](https://docs.vast.ai/documentation/host/payment.md)\n\n## Reference\n\n- [Billing](https://docs.vast.ai/documentation/reference/billing.md)\n- [API keys](https://docs.vast.ai/documentation/reference/keys.md)\n- [Account settings](https://docs.vast.ai/documentation/reference/account-settings.md)\n- [FAQ](https://docs.vast.ai/documentation/reference/faq/general.md)\n- [Troubleshooting](https://docs.vast.ai/documentation/reference/troubleshooting.md)\n\n## General Information\n\n- [GPU pricing](https://vast.ai/pricing)\n- [Model library](https://vast.ai/model-library)\n- [Hosting / become a supplier](https://vast.ai/hosting)\n- [Case studies](https://vast.ai/case-studies)\n- [Serverless product](https://vast.ai/products/serverless)\n- [GPU Cloud product](https://vast.ai/products/gpu-cloud)\n- [Clusters product](https://vast.ai/products/clusters)\n- [Developers](https://vast.ai/developers)\n- [CLI landing](https://vast.ai/developers/cli)\n- [SDK landing](https://vast.ai/developers/sdk)\n- [About](https://vast.ai/about)\n- [Blog](https://vast.ai/blog)\n\n## Support\n\n- [Live chat support](https://go.crisp.chat/chat/embed/?website_id=734d7b1a-86fc-470d-b60a-f6d4840573ae): 24/7 live chat support for technical issues, billing questions, and platform guidance.\n- [Discord](https://discord.gg/vast): Community support and discussion.\n- [Docs home](https://docs.vast.ai): Main documentation site.\n- [Docs llms index](https://docs.vast.ai/llms.txt): Full docs index for LLM and agent discovery.\n\n## Optional\n\n- [Full resource index](https://vast.ai/llms-full.txt): Expanded catalog of platform pages, GPU pages, documentation, and articles.",
  "emergingProtocols": {
    "oauthDiscovery": {
      "exists": false,
      "url": "https://vast.ai/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://vast.ai/.well-known/mcp.json"
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://vast.ai/.well-known/agent.json"
    },
    "count": 0
  },
  "snippets": [
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

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