A Directory Layout for LLM Projects That Grew Up

What it does

This repo is a template, not a framework. It hands you a rigid directory structure—src/agents, src/retrieval, src/guardrails, src/fallback, and so on—plus a checklist of conventions like YAML configs, prompt versioning, and rate-limiting. The goal is to skip the “how should I organize this?” phase and start filling in logic.

The interesting bit

The project treats production-readiness as an architectural problem first. By pre-defining modules for memory, pipelines, skills, and multimodal handlers, it forces you to separate concerns before the codebase turns into a Jupyter notebook graveyard.

Key highlights

• Pre-defined modules for agents, retrieval, guardrails, and fallback logic
• YAML-driven configuration for models, prompts, and logging
• Includes notebooks, tests, and minimal example scripts
• Caching, rate limiting, and token counting utilities in src/utils
• Apache 2.0 license

Caveats

• The README displays directory names but no actual source code; it is unclear how much is implemented versus how much is left as an exercise.
• “Production-ready” here means “well-organized scaffolding,” not a drop-in runtime.

Verdict

Grab this if you are starting a new LLM application and want a sensible layout before the spaghetti starts. Skip it if you need a working framework with batteries already wired.