llmify-cli 0.1.3

LLM-ify: create LLM-ready markdown and text from websites.

LLM-ify

LLM-ify generates llms.txt and llms-full.txt plus full markdown/text captures for single pages or entire websites, so your LLM has clean, readable context.

Install + Run

pip install llmify-cli

llmify

What is llms.txt?

llms.txt is a standardized format for making website content more accessible to Large Language Models (LLMs). It provides:

• llms.txt: A concise index of all pages with titles and descriptions
• llms-full.txt: Complete content of all pages for comprehensive access

Features

• Full website or single-page capture
• Text + Markdown output
• LLM-friendly index (llms.txt) + full corpus (llms-full.txt)
• OpenAI or OpenRouter support
• Interactive terminal UI

Prerequisites

• Python 3.7+
• OpenAI API key (Get one here)
• Crawl4AI setup (see installation)

Quick Setup (Recommended)

Other launch commands (all open the TUI):

llm-ify
llmify-cli

Run the quickstart script for your OS:

# Windows (PowerShell)
scripts\quickstart.ps1

# macOS/Linux
./scripts/quickstart.sh

This creates a venv, installs deps, runs crawl4ai-setup, and launches the TUI.

Every time after this just activate your venv and run

python main.py

Manual Setup

1. Clone the repository:

git clone https://github.com/Chillbruhhh/LLM-ify.git
cd LLM-ify

2. Create and activate a virtual environment:

# Windows
python -m venv venv
venv\Scripts\activate

# macOS/Linux
python3 -m venv venv
source venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the setup command:

crawl4ai-setup

This installs browser dependencies needed for Crawl4AI.

5. Set up your OpenAI API key:

   Option A: Using .env file (recommended)

   cp .env.example .env
   # Edit .env and configure:
   # - Add OPENAI_API_KEY (required)
   

   Option B: Using environment variables

   export OPENAI_API_KEY="your-openai-api-key"
   

   Option C: Using command line arguments (See the TUI for input fields)

OpenRouter (Optional)

LLM-ify can also use OpenRouter. Set the key and choose the provider in the TUI settings:

OPENROUTER_API_KEY="your-openrouter-api-key"

Ollama (Optional)

LLM-ify can use a local Ollama server. Select ollama in the TUI and set the model name (for example llama3.1:8b). Ollama runs at http://localhost:11434/v1 by default.

Usage (TUI)

Launch the terminal UI:

python main.py

Enter a URL, choose a mode (full website or single page), and run. Settings are saved in config.json automatically.

Model Provider + Model Name

Choose the provider in Settings, then set the model name for that provider:

• OpenAI default: gpt-4.1-nano
• OpenRouter default: openai/gpt-4.1-nano
• Ollama: set your local model name (for example llama3.1:8b)

Output Format

llms.txt

# https://example.com llms.txt

- [Page Title](https://example.com/page1): Brief description of the page content here
- [Another Page](https://example.com/page2): Another concise description of page content

llms-full.txt

# https://example.com llms-full.txt

<|llm-ify-page-1-lllmstxt|>
## Page Title
Full markdown content of the page...

<|llm-ify-page-2-lllmstxt|>
## Another Page
Full markdown content of another page...

Output Locations

Output files are written under collected-texts/crawl4ai-<domain>/ by default and split into txt-output and md-output folders. Example:

collected-texts/crawl4ai-docs.example.com/txt-output/llms.txt
collected-texts/crawl4ai-docs.example.com/txt-output/llms-full.txt
collected-texts/crawl4ai-docs.example.com/md-output/llms.md
collected-texts/crawl4ai-docs.example.com/md-output/llms-full.md
collected-texts/crawl4ai-docs.example.com/seeds.json

License

PolyForm Noncommercial - see LICENSE for details.