PromptGuru

Modular prompt engineering library for BERT, Mistral, LLaMA, and FLAN-T5 using YAML templates. Includes modes like ELI5, DevMode, Refine, Classification, and QA.

Why

Lightweight and framework-agnostic
YAML-first: edit prompts without changing code
Consistent modes across multiple model families

Install (Local Dev)

pip install PyYAML

For now, clone or copy this repo. PyPI packaging steps are included below.

Usage

from promptguru.engine import PromptEngine

engine = PromptEngine(model_type="mistral", mode="eli5")
prompt = engine.generate_prompt("What is quantum entanglement?")
print(prompt)

Templates

Templates live in promptguru/templates/:

bert.yaml → classification, fill_mask, qa
mistral.yaml → eli5, devmode, refine
llama.yaml → eli5, devmode, refine
flan_t5.yaml → eli5, devmode, explain_and_tag

Roadmap

Add inference adapters (HF Inference API, OpenRouter) behind a common interface
Add more modes (contrastive QA, chain-of-thought, safety/risk tags)

License

Apache 2.0