Resources
LLM Full
Access all documentation in plain text format for LLM consumption.
This page provides a plain text version of the entire Rueda Lens documentation, optimized for consumption by Large Language Models (LLMs) like ChatGPT, Claude, and others.
What is LLM Full?
LLM Full is a consolidated plain text file containing all documentation pages in a format that's easy for AI assistants to process. This allows you to:
- Feed the entire documentation to your preferred LLM for context-aware assistance
- Get accurate answers about Rueda Lens without the AI hallucinating information
- Work with AI assistants that have full knowledge of all API features and best practices
How to Use
Option 1: Direct Access
Access the plain text documentation directly at:
- English: https://docs.ruedalens.com/en/llms-full.txt
- Spanish: https://docs.ruedalens.com/es/llms-full.txt
Option 2: With ChatGPT, Claude or other AI assistants
- Copy the URL above
- In the chat, paste: "Please read and analyze the documentation at [URL]"
- Ask your questions about the Rueda Lens API
Format Specification
The plain text file follows this structure:
-------------------------------------------------------------------------------- title: "Page Title" description: "Page description" section: "guide | api-reference | resources" last_updated: "2026-02-09T12:00:00.000Z" source: "https://docs.ruedalens.com/en/page-slug" -------------------------------------------------------------------------------- # Page Title [Full markdown content of the page]
Each page is separated by horizontal rules (---) and includes metadata that helps LLMs understand the context and source of each section.
Best Practices
When working with LLMs using this documentation:
- Be Specific: Ask precise questions referencing specific API endpoints or features
- Verify Code: Always test code examples provided by the AI in a development environment
- Check for Updates: The documentation is regularly updated, so verify information for the latest changes
- Use Quotes: Reference specific parts of the documentation when asking follow-up questions
Example Prompts
Here are some effective ways to use the LLM Full documentation:
Setup:
I'm providing the complete Rueda Lens API documentation. Please read it carefully.
[Paste content from llms-full.txt]
Ready to answer my questions?
Getting Started:
Based on the Rueda Lens documentation, show me how to:
1. Authenticate with the API
2. Make my first vehicle recognition request
3. Handle rate limiting
Troubleshooting:
I'm getting a 401 error when calling /v1/analyze. Based on the docs, what are the
possible causes and how do I fix them?
Feedback
Found an issue with the LLM Full format or have suggestions for improvement? Please contact our support team or submit an issue on our GitHub repository.