AI Integration

VALR API documentation is available in machine-readable formats designed for use with AI coding assistants, agents, and automated tooling. These follow the llms.txt standard — a convention for providing LLM-friendly content alongside traditional web documentation.

Available Endpoints

URL	Description
/llms.txt	Index of all documentation pages with titles and links
/llms-full.txt	Complete documentation as a single markdown file

llms.txt

A lightweight index listing every documentation page — guides, API endpoints, and WebSocket operations — with titles and URLs. Use this when you need to find specific topics or endpoints without loading the full documentation.

llms-full.txt

The entire documentation site rendered as a single markdown file, including all guide content and every REST API endpoint with request/response schemas. Use this when you need comprehensive context about the VALR API — for example, when building an integration from scratch or answering broad questions about available functionality.

Usage with AI Tools

Cursor, Windsurf, and Similar IDEs

Most AI-powered IDEs support adding documentation URLs as context. Add the full documentation URL to give your AI assistant complete knowledge of the VALR API:

https://your-docs-site/llms-full.txt

Refer to your IDE's documentation for the specific method — typically this is done through a project-level documentation or context configuration.

Claude Code

Reference the documentation URL directly in your prompt or add it as project context:

claude "Using the VALR API docs at https://your-docs-site/llms-full.txt, help me implement order placement"

ChatGPT, Claude, and Other Chat Interfaces

Paste the contents of /llms-full.txt into your conversation, or provide the URL if the tool supports fetching web content.

Custom Agents and Automation

Fetch the documentation programmatically for use in agent pipelines or RAG systems:

curl -s https://your-docs-site/llms-full.txt

The content is plain markdown, so no parsing is required — it can be passed directly into an LLM context window.

What's Included

Both files are generated automatically from the same sources that power this documentation site:

• Guides — authentication, rate limiting, error codes, caching, performance, and WebSocket usage
• REST API endpoints — every operation from the OpenAPI specification, including request parameters, response schemas, and example values
• WebSocket operations — real-time streaming API documentation

The content is regenerated on every deployment, so it stays in sync with the latest API specification.

The llms.txt Standard

The /llms.txt convention is an emerging standard for making website content accessible to large language models. Rather than requiring AI tools to parse HTML pages, sites provide pre-formatted markdown at well-known URLs. For more detail on the standard, see llmstxt.org.