Laravel Spark llms.txt
What is Laravel Spark's llms.txt?
Laravel Spark publishes an /llms.txt file that provides AI systems with a structured index of its documentation. It follows the llms.txt specification, organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Laravel Spark offers and where to find details.
Sections: Docs · Optional
Add Laravel Spark Docs to Your AI Assistant
Select your tool to see how to add Laravel Spark's llms.txt as a documentation source.
- 1
Open any chat or composer panel
- 2
Type @Docs and select "Add new doc"
- 3
Paste the URL: https://spark.laravel.com/llms.txt
- 4
Wait for the green dot (indexing complete)
- 5
Reference @Docs in chat when asking about Laravel Spark
Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.
Frequently Asked Questions
Laravel Spark publishes its llms.txt at https://spark.laravel.com/llms.txt. This file provides a structured, markdown-formatted index of Laravel Spark's documentation that AI systems can consume to understand the project's APIs, guides, and references.
Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Laravel Spark's documentation so it can provide better code suggestions and answers about Laravel Spark.
Laravel Spark's llms.txt contains 2 sections and 23 documentation links in 2.7 KB (~680 tokens). Key sections include Docs, Optional.
The concise llms.txt index is approximately 680 tokens (2.7 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.
Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.
Browse More llms.txt Files
Official documentation for Langflow, a low-code platform for building and deploying AI-powered agents and workflows with a visual builder, API, and MCP server. Technical documentation for developers, data scientists, and teams building RAG and multi-agent applications.
RepomixPack your codebase into AI-friendly formats
SkyvernSkyvern is an open-source, AI-powered browser automation platform. It uses large language models and computer vision to navigate websites visually - no CSS selectors, no custom scripts, no maintenance when sites change. Automate logins, form fills, data extraction, document downloads, and multi-step workflows across any web portal. SOC2 Type II certified. HIPAA compliant.
Dittofeed (dittofeed.com)ReflexReflex is the open-source framework empowering Python developers to build web apps faster. Build both your frontend and backend in a single language, Python (pip install reflex), with no JavaScript or web development experience required.
BeeAI FrameworkBuild production-ready AI agents in both Python and Typescript.