llmforge 0.0.2

LLMForge

LLMForge is a structured framework for building reliable, context-aware LLM applications.
It introduces modular prompting, contextual chunking, and developer-friendly tools for controlled generation.

⚠️ This is a placeholder package. Full features coming soon.

🚀 Features (Planned)

• 🔧 Structured Prompting: Define system and user prompts with composable, reusable components.
• 🧩 Contextual Chunking: Use advanced chunking strategies including LLM-assisted context-aware splitting.
• 📚 Multi-Level RAG Support: Summarize, tag, and manage references across multi-doc pipelines.
• 🧠 Prompt Meta Control: Inject data structure, generation intent, output formats, and few-shot examples into your prompt logic.
• 🔄 LLM Workflow Templates: Declarative flow control for chaining LLM calls.

📦 Installation

Install from PyPI:

pip install llmforge

🛠 Development Setup

If you're working on the project locally:

# Create virtual environment (optional but recommended)
python -m venv .venv
source .venv/bin/activate  # or .venv\\Scripts\\activate on Windows

# Install dependencies
uv pip install -e ".[dev]"

📄 License

This project is licensed under the terms of the MIT License.

📬 Contact

Created by Anik Mallick — feel free to reach out!