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README.md

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+# 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

promptguru.egg-info/PKG-INFO

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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

promptguru.egg-info/SOURCES.txt

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+README.md
+pyproject.toml
+promptguru/__init__.py
+promptguru/engine.py
+promptguru.egg-info/PKG-INFO
+promptguru.egg-info/SOURCES.txt
+promptguru.egg-info/dependency_links.txt
+promptguru.egg-info/requires.txt
+promptguru.egg-info/top_level.txt
+promptguru/templates/bert.yaml
+promptguru/templates/flan_t5.yaml
+promptguru/templates/llama.yaml
+promptguru/templates/mistral.yaml

promptguru.egg-info/dependency_links.txt

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+

promptguru.egg-info/requires.txt

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+PyYAML>=6.0

promptguru.egg-info/top_level.txt

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+promptguru

promptguru/__init__.py

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+"""PromptGuru: Modular prompt engineering with YAML templates."""
+from .engine import PromptEngine, load_template
+__all__ = ["PromptEngine", "load_template"]

promptguru/engine.py

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+# promptguru/engine.py
+from pathlib import Path
+import yaml
+
+def load_template(model_type: str) -> dict:
+    """Load a YAML template file for a given model type (e.g., 'mistral', 'bert')."""
+    model_type = model_type.lower()
+    template_path = Path(__file__).parent / "templates" / f"{model_type}.yaml"
+    if not template_path.exists():
+        raise FileNotFoundError(f"Template file not found for model: {model_type}")
+    with open(template_path, "r", encoding="utf-8") as f:
+        return yaml.safe_load(f)
+
+class PromptEngine:
+    """Minimal prompt templating engine.
+
+    Usage:
+        engine = PromptEngine(model_type="mistral", mode="eli5")
+        prompt = engine.generate_prompt("Explain quantum entanglement")
+    """
+    def __init__(self, model_type: str, mode: str):
+        self.model_type = model_type.lower()
+        self.mode = mode.lower()
+        self._template_dict = load_template(self.model_type)
+
+    def generate_prompt(self, user_input: str) -> str:
+        """Render a template with the given input text."""
+        if self.mode not in self._template_dict:
+            raise ValueError(f"Mode '{self.mode}' not found in {self.model_type}.yaml")
+        template = self._template_dict[self.mode]
+        return template.replace("{{input}}", user_input)

promptguru/templates/bert.yaml

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+classification: |
+  Classify the sentiment of the following text as positive, negative, or neutral.
+  Text: {{input}}
+
+fill_mask: |
+  Fill in the missing word in the following sentence.
+  Sentence: {{input}}
+
+qa: |
+  Extract the answer from the given context.
+  Context and Question: {{input}}

promptguru/templates/flan_t5.yaml

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+eli5: |
+  Explain like I'm 5: {{input}}
+
+devmode: |
+  Summarize technically and list risks: {{input}}
+
+explain_and_tag: |
+  Summarize this input and assign a risk level (low, medium, high).
+  Input: {{input}}

promptguru/templates/llama.yaml

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+eli5: |
+  <s>[INST] <<SYS>>
+  You are a helpful tutor. Explain the user's input simply and clearly.
+  <</SYS>>
+  {{input}} [/INST]
+
+devmode: |
+  <s>[INST] <<SYS>>
+  You are a senior software engineer. Provide a structured technical analysis.
+  Include: context, constraints, assumptions, risks, and next steps.
+  <</SYS>>
+  {{input}} [/INST]
+
+refine: |
+  <s>[INST] <<SYS>>
+  You are a precise editor. Rewrite the user's text for clarity and brevity while preserving meaning.
+  <</SYS>>
+  {{input}} [/INST]

promptguru/templates/mistral.yaml

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+eli5: |
+  You are a helpful assistant. Explain the following like I'm five.
+  Input: {{input}}
+
+devmode: |
+  You are a senior engineer. Provide a concise, technical breakdown of the following content.
+  Include assumptions, potential risks, and an action-oriented summary.
+  Input: {{input}}
+
+refine: |
+  You are an expert editor. Improve clarity, reduce jargon, and keep key details.
+  Text: {{input}}

pyproject.toml

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+[build-system]
+requires = ["setuptools>=61.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "promptguru"
+version = "0.1.0"
+description = "Modular prompt engineering library"
+readme = "README.md"
+requires-python = ">=3.8"
+license = {text = "Apache-2.0"}
+authors = [{name="Naga Adithya Kaushik", email="[email protected]"}]
+keywords = ["prompts", "nlp", "llm", "huggingface", "templates"]
+dependencies = ["PyYAML>=6.0"]
+
+[project.urls]
+Homepage = "https://huggingface.co/spaces/GenAIDevTOProd/PromptGuru"
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["promptguru"]
+
+[tool.setuptools.package-data]
+promptguru = ["templates/*.yaml"]

requirements.txt

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+PyYAML>=6.0