marcosjimenez/pCompiler
A declarative prompt engineering framework that transforms high-level DSL definitions into optimized, model-specific LLM prompts.
This tool helps AI application developers manage and optimize their Large Language Model (LLM) prompts by treating them as structured code. Developers define prompts using a high-level YAML-based Domain Specific Language (DSL), which pCompiler then transforms into optimized, model-specific LLM prompts. It is designed for software engineers and AI/ML practitioners building applications that rely on LLMs.
Use this if you are a developer building LLM-powered applications and need a structured, versioned, and secure way to create, validate, optimize, and deploy your prompts across different models.
Not ideal if you are an end-user simply interacting with LLMs via chat interfaces or if you are a non-technical user without programming experience.
Stars
8
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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