· Standard
E
llmstxt.info directory · Standard
Equipment
Community listing
llms.txt reachable
AI Impact Score 90/100 · A
Equipment provides structured information for AI assistants via an llms.txt file. Industry: Developer Tools. The website equipment-python.vercel.app provides its llms.txt at https://equipment-python.vercel.app/llms.txt. Listed since 26 March 2026.
llms.txt address
https://equipment-python.vercel.app/llms.txt
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# Equipment Documentation
> Documentation for building and maintaining Python applications with Equipment.
Equipment is a Python project scaffolding framework for building applications with configuration, dependency injection, logging, database access, queues, scheduling, storage, tests, compilation, and optional FastAPI serving.
Use this file as an LLM-oriented index. For complete offline documentation content, use https://equipment-python.vercel.app/llms-full.txt.
Important constraints:
- Supported Python versions are 3.12, 3.13, and 3.14.
- Equipment projects use unittest, not pytest.
- Generated projects must remain portable across Linux, macOS, and Windows.
- Runtime dependencies are managed from requirements.txt and should not be changed unless dependency upgrades are explicitly requested.
- Website LLM files are generated by docusaurus-plugin-llms during npm run build.
## Table of Contents
- [Equipment Overview](https://equipment-python.vercel.app/docs/intro.md): Equipment is a scaffolding framework for creating Python application projects. It gives a new project a working structure for configuration, depend
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