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Infrastructure · llms.txt file breakdown

Railway llms.txt

Railway is an infrastructure platform that simplifies your stack from servers to observability with a single, scalable, easy-to-use platform. Railway's superior developer experience makes it easy to deploy cloud infrastructure, full-stack applications, and websites.

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# Railway

> Railway is an infrastructure platform that simplifies your stack from servers to observability with a single, scalable, easy-to-use platform. Railway's superior developer experience makes it easy to deploy cloud infrastructure, full-stack applications, and websites.

## About Railway

- [Railway Features](https://railway.com/features.md): An unparalleled developer experience for infrastructure — build, deploy, network, scale, observe, and secure your apps
- [Railway Customers](https://railway.com/customers.md): Loved by developers at 31% of the F500. Hear how Railway powers businesses across AI, Fintech, B2B SaaS, and more
- [About Railway](https://railway.com/about.md): Railway is building the cloud computing stack that unburdens developers, so they can focus on what matters
- [Railway Careers](https://railway.com/careers.md): Railway is hiring engineers and designers to rebuild the cloud computing stack

## For AI Agents

- [Railway for AI Agents](https://railway.com/agents.md): Critical setup instructions for agents — CLI setup with `bash <(curl -fsSL cli.new) --agents -y`, local MCP and agent skills, optional remote MCP, and core use cases (deploy, databases, volumes, functions, config).
- [railway.com/index.md](https://railway.com/index.md): The same agent setup briefing, served at the site root
- [Railway Remote MCP Server](https://railway.com/mcp.md): Connect AI coding agents to Railway over OAuth — no local install, no CLI login, no token files
- [Authenticating to Railway](https://railway.com/auth.md): The four ways to hold a Railway credential — CLI login, remote MCP over OAuth, public API tokens, and Login with Railway — with the exact headers to send

## Machine-Readable Endpoints

- [AI catalog (ARD)](https://railway.com/.well-known/ai-catalog.json): Agentic Resource Discovery catalog of every agentic resource — MCP server, API, and instruction pages — with stable identifiers
- [API catalog](https://railway.com/.well-known/api-catalog): RFC 9727 linkset naming every Railway API, its docs, its auth metadata, and its status page
- [MCP server card](https://railway.com/.well-known/mcp/server-card.json): Identity and transport for the remote MCP server at `mcp.railway.com`
- Public API (GraphQL): `https://backboard.railway.com/graphql/v2` — single endpoint, schema by introspection
- [Template deploy manifests](https://railway.com/deploy/llms.txt): Machine-readable deploy manifest per template — one line each with validation status; inputs and deploy commands inline at https://railway.com/deploy/llms-full.txt, JSON index at https://railway.com/deploy/index.json, per-template manifests at https://railway.com/deploy/{template}/manifest.json
- [OpenAPI description](https://railway.com/openapi.json): OpenAPI 3.1 for the GraphQL entrypoint and the OAuth 2.0 / OIDC endpoints
- [API reliability](https://railway.com/api-reliability.md): Errors and error codes, rate limits and headers, retry guidance, and the versioning/deprecation policy
- OpenID Connect discovery: `https://backboard.railway.com/oauth/.well-known/openid-configuration`

## Product Details

- [Railway Sandboxes](https://railway.com/sandboxes.md): Linux VMs with coding agents preinstalled, private networking, checkpoints, forks, and usage-based pricing
- [Free VMs, no sign up](https://railway.com/free-vm.md): `ssh railway.new` gets a free Linux VM with coding agents preinstalled and a preview URL, no account needed; agents can use it too
- [Railway Pricing](https://railway.com/pricing.md): Plans, per-second usage rates for CPU/memory/disk/egress/storage, and committed spend
- [Railway Enterprise](https://railway.com/enterprise.md): World-class scale, security, and support for organizations and enterprise teams
- [Railway Domains](https://railway.com/domains.md): Register and manage custom domains for your Railway services, with automatic SSL certificates
- [Railway Mobile App](https://railway.com/mobile.md): Deploy, monitor, and manage your services from anywhere
- [Migrate from Heroku](https://railway.com/heroku.md): Railway is the Heroku alternative with cheaper pricing, faster builds, and better developer experience
- [Railway Template Marketplace](https://railway.com/deploy.md): Template categories and the most deployed one-click templates
- [Railway AI Templates](https://railway.com/deploy/category/ai.md): One-click AI templates like Ollama, Open WebUI, and vector databases, with FAQs on hosting AI apps
- [Railway Templates](https://railway.com/llms-templates.md): One-click deploy templates with architecture details, service configs, and READMEs
- [Railway Product Changelog](https://railway.com/llms-changelog.md): Product changelog entries with titles, dates, and links
- [Railway Changelog Index](https://railway.com/changelog.md): Product updates ordered by date; individual entries are available at /changelog/<slug>.md

## Programs & Events

- [Railway Affiliate Program](https://railway.com/affiliate-program.md): Earn 15% commission on every invoice from your Railway referrals for 12 months after signup
- [Railway Template Kickback Program](https://railway.com/open-source-kickback.md): Earn 25% revenue commission whenever someone deploys your template on Railway
- [Railway Open Source Partner Program](https://railway.com/partners.md): Turn your open source project into a deployable Railway template, support users directly, and earn commission on every deployment
- [Railway Bug Bounty](https://railway.com/bug-bounty.md): Railway pays researchers for valid security vulnerability reports, scored against CVSS 3.1
- [Railway Launch Week 01](https://railway.com/launch-week-01.md): Five feature-packed days from September 25–29, 2023 bringing new ways to scale Railway applications globally

## Legal

- [Terms of Service](https://railway.com/legal/terms.md)
- [Privacy Policy](https://railway.com/legal/privacy.md)
- [Acceptable Use Policy](https://railway.com/legal/acceptable-use.md)
- [Data Processing Addendum](https://railway.com/legal/dpa.md)
- [Enterprise Customer Agreement](https://railway.com/legal/enterprise-agreement.md)
- [Job Applicant and Worker Privacy Notice](https://railway.com/legal/applicant-worker-privacy.md)

## Railway Ecosystem

- [Railway Docs](https://docs.railway.com/llms.txt): Full documentation covering deployments, services, networking, observability, CLI, and API
- [Railway Blog](https://blog.railway.com/llms-blog.md): Engineering blog posts and product updates
- [Railway Station Forum](https://station.railway.com/llms-station.md): Community forum threads with questions and answers

Measured from the saved file

Linked document

UTF-8 text size
6.5 KB6625 bytes
Token count
1546o200k_base encoding
Markdown links
4040 distinct URLs
Fenced code blocks
066 lines in the file

Size measures the captured UTF-8 text, not compressed transfer size. Tokens are counted with a named tokenizer; other models can count differently. Neither measure establishes context compatibility or answer quality.

Project H1
Railway

Opening blockquote

Railway is an infrastructure platform that simplifies your stack from servers to observability with a single, scalable, easy-to-use platform. Railway's superior developer experience makes it easy to deploy cloud infrastructure, full-stack applications, and websites.

Context architecture

How the content is divided

7 H2 sections organize 40 parsed Markdown links. 34 links point to .md or .markdown paths; 3 link occurrences use another hostname. Linked destinations have not been recursively validated.

H2 sectionLinksUTF-8 bytesTokens
About RailwayLine 54637147
For AI AgentsLine 124763182
Machine-Readable EndpointsLine 1961378335
Product DetailsLine 30121769415
Programs & EventsLine 455861195
LegalLine 536434106
Railway EcosystemLine 62336891

Nested indexes

2 distinct links point to other llms.txt paths. These are routes to more indexes, not proof their contents were included in this file.

Link counts exclude parsed fenced and inline code and resolve relative destinations against the final endpoint. Section sizes cover the text below each H2 until the next H2.

Embedded material

Code, installation and API examples

Fenced blocks
0 closed
Declared languages
No fenced blocks detected
Package-install commands
0 detected in fenced or inline code
Authentication examples
0 fenced lines match API-key, Authorization, Bearer, OAuth or access-token patterns
HTTP request examples
0 fenced lines match request-method patterns
Authentication links
0 links have authentication-related labels

Embedded example text and links to further documentation are counted separately. A code block does not establish that a sample runs or that an authentication flow succeeds.

Publisher prioritization

The Optional section

No H2 section named “Optional” was detected in this file.

The community proposal uses Optional by convention for secondary links that can be skipped for a shorter context. This label does not establish that everything outside it is critical, or that the material inside it is deprecated.

Machine-readable routes

MCP references and configuration text

MCP-related text was detected in the captured file. 2 links have MCP-related labels or paths. 0 fenced lines match mcpServers, mcp_servers or an mcp add command.

These are text and link observations. No MCP server connection, authentication or tool call was tested.

Index and bundle

llms-full.txt companion

Not found at checked URLs

A verified text response establishes a companion at the checked URL. It does not prove the bundle contains all product documentation, that generation is automated, or that it fits an assistant’s context window.

Change evidence

What can be said about freshness

This capture establishes a baseline. Update frequency cannot be determined from one observation.

Linked release and migration material

2 links have release, changelog, deprecation or migration terms in their labels or paths. These provide places to investigate product changes separately.

File changes can reveal documentation edits or navigation changes. They do not by themselves measure product release velocity, accuracy, agent adoption or AI visibility.

Capture identity and measurement method
Requested endpoint
https://railway.app/llms.txt
Final endpoint
https://railway.com/llms.txt
HTTP status
200
Content type
text/plain; charset=utf-8
Text retrieval
Firecrawl literal text capture
Tokenizer
tiktoken 0.14.0 · o200k_base
SHA-256 of saved UTF-8 text
231a85b4bb81a4bac81c96b183067d32c641276b76d03c8c923d4ae6f9e900dc

Counts use a deterministic parser, not a spec-compliance grade. Unusual Markdown and indented code can fall outside its recognized patterns. See the llms.txt proposal and tokenizer implementation.

Related tools and resources

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