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-Metadata-Version: 2.4
-Name: promptguru
-Version: 0.1.0
-Summary: Modular prompt engineering library
-Author-email: Naga Adithya Kaushik <[email protected]>
-License: Apache-2.0
-Project-URL: Homepage, https://huggingface.co/spaces/GenAIDevTOProd/PromptGuru
-Keywords: prompts,nlp,llm,huggingface,templates
-Requires-Python: >=3.8
-Description-Content-Type: text/markdown
-Requires-Dist: PyYAML>=6.0
-
-# 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)
-```bash
-pip install PyYAML
-```
-> For now, clone or copy this repo. PyPI packaging steps are included below.
-
-## Usage
-```python
-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