A structured framework for precise LLM output control through advanced templating and prompting capabilities, offering fine-grained control over AI responses.
Perfect for developers who want to:
- Implement precise control over LLM outputs
- Create structured generation templates
- Use regex and CFGs for constrained generation
- Build robust prompt engineering systems
Getting Started Tip: Start with simple f-string templates to understand the basics before moving to more complex conditional statements and loops.
Difficulty: ⭐⭐ (Intermediate)
- Basic prompt engineering knowledge required
- Straightforward templating syntax
- Good documentation available
- Can be used alongside other frameworks
