llms.txt

01.software provides documentation export endpoints optimized for LLMs and AI tools. Feed your project's documentation directly into AI assistants for context-aware assistance.

https://01.software/llms-full.txt

https://01.software/llms-full.txt?locale=en

Endpoints

Full Documentation Export

Returns all documentation pages combined into a single plain text response.

GET /llms-full.txt

Locale Parameter

By default, the response is in English. Use the locale query parameter to get documentation in other languages.

# English (default)
curl https://01.software/llms-full.txt

# Korean
curl https://01.software/llms-full.txt?locale=ko

Per-Page Markdown Export

Returns a single documentation page as markdown.

GET /docs/{path}.mdx

# Get a specific page as markdown
curl https://01.software/docs/guide/quickstart.mdx

# English version
curl https://01.software/docs/guide/quickstart.mdx?locale=en

Content Negotiation

You can also request markdown by sending the Accept: text/markdown header on any documentation page URL. The server will return the raw markdown instead of HTML.

curl -H "Accept: text/markdown" https://01.software/docs/guide/quickstart

# With locale prefix
curl -H "Accept: text/markdown" https://01.software/en/docs/guide/quickstart

Usage Examples

Feed to an AI Assistant

# Download full docs and pass to an AI tool
curl -s https://01.software/llms-full.txt?locale=en > docs.txt

Use in a Custom GPT or AI Agent

Provide the URL as a knowledge source:

https://01.software/llms-full.txt?locale=en

Fetch Specific Sections

# SDK client setup
curl https://01.software/docs/sdk/client.mdx?locale=en

# Filtering guide
curl https://01.software/docs/sdk/filtering.mdx?locale=en

# REST API reference
curl https://01.software/docs/api/rest-api.mdx?locale=en

Available Documentation Pages

All pages under /docs/ are available for export. See the sidebar for the full list. Key sections include:

• Guide — Quickstart, authentication, collections, webhooks
• SDK — Client setup, query builder, filtering, React Query, server API
• API — REST API, GraphQL, response format, rate limiting
• Integrations — llms.txt, MCP Server

Next Steps

• MCP Server — Connect AI agents to your data via MCP
• SDK Client — Set up the TypeScript SDK