llm-context-packer 0.1.1

Turn your entire codebase into a single prompt-ready text file.

LLM Context Packer

"Stop manually opening 15 files and copy-pasting them one by one. LLM Context Packer packs your entire codebase into a single AI-ready prompt in <1 second."

Turn your entire codebase into a single prompt-ready text file.

🚀 Why?

When working with LLMs (ChatGPT, Claude, Gemini), context is everything. You often need to paste multiple files to get a good refactor or answer. Manually copying file content, adding filenames, and formatting is a pain.

LLM Context Packer does it for you:

1. Traverses your project.
2. Respects .gitignore (no node_modules, .env, or secrets).
3. Formats everything into an LLM-friendly structure.
4. Copies the result strictly to your clipboard.
5. Counts the tokens so you know if you fit the context window.

📦 Installation

pip install llm-context-packer

Or manually:

# Clone the repository
git clone https://github.com/overcrash66/LLM_Context_Packer.git
cd LLM_Context_Packer

# Install locally
pip install .

🛠 Usage

You can use llm-context-packer.

Basic Usage

Run in your project root. It automatically copies to clipboard.

llm-context-packer .

Options

# Don't copy to clipboard, just print to stdout
llm-context-packer . --no-copy

# Write to a file instead of clipboard
llm-context-packer . --output context.txt

# Verbose mode (see what files are being packed)
llm-context-packer . --verbose

📝 Output Format

The tool generates a clean Markdown format that LLMs understand perfectly:

🛡 Security

• Strictly follows .gitignore: If you ignore it in git, it won't be packed.
• Hidden files ignored: Skips .git directory automatically.