llmctl 0.1.6

A professional CLI tool for interacting with OpenAI and Anthropic LLMs with cost tracking

llmctl - Command Line LLM Interface

A powerful CLI tool to interact with various LLM providers (OpenAI, Anthropic/Claude) with interactive sessions, colored output, and persistent file attachments.

✨ Features

• 🎨 Colored terminal output - Beautiful, easy-to-read interface
• 💬 Interactive sessions - Keep conversations going without restarting
• 📎 File attachments - Add/remove files as context during conversations
• 💾 Session persistence - Your conversations are saved automatically
• 🔄 Multi-provider support - Switch between OpenAI and Claude seamlessly
• 📜 Conversation history - Review past exchanges in your session
• 💰 Real-time cost tracking - See exact costs after every API call
• 📊 Session statistics - Track total spending per session
• 🌍 Cross-platform - Works on Windows, Mac, and Linux

Installation

Via pip (Recommended)

pip install llmctl

From source

git clone https://github.com/sabbiramin113008/llmctl.git
cd llmctl
pip install -e .

Quick Start

1. Initialize llmctl:

   llmctl init
   

2. Set your API keys:

   export OPENAI_API_KEY="sk-your-key-here"
   export ANTHROPIC_API_KEY="sk-ant-your-key-here"
   

3. Start chatting:

   llmctl use claude:sonnet-4
   llmctl interactive
   

Usage

🎮 Interactive Mode (Recommended)

Start an interactive session where you can have ongoing conversations:

llmctl interactive

Interactive Commands:

• /help - Show available commands
• /use <provider> - Switch LLM provider (e.g., /use gpt-4)
• /attach <file> - Attach a file as context
• /detach <file> - Remove an attached file
• /files - List all attached files
• /clear - Clear conversation history
• /clearfiles - Remove all attached files
• /history - Show conversation history
• /stats - Show session statistics and total costs
• /exit or /quit - Exit the session

Example Session:

llmctl interactive

═══════════════════════════════════════════════════════════════════
  🚀 llmctl - Interactive LLM Session
═══════════════════════════════════════════════════════════════════

  📡 Provider: anthropic (claude-sonnet-4-20250514)
  💾 Session:  default

───────────────────────────────────────────────────────────────────
  📚 Quick Commands:
     /help        - Show all commands
     /use <model>  - Switch LLM provider
     /attach <file> - Add file context
     /stats       - Show costs & usage
     /exit        - Exit session
───────────────────────────────────────────────────────────────────
  💡 Tip: Type naturally - no quotes needed!
═══════════════════════════════════════════════════════════════════

❯ explain quantum computing

🤖 anthropic (claude-sonnet-4-20250514):
Quantum computing harnesses quantum mechanical phenomena...

───────────────────────────────────────────────────────────────────
💰 Cost Breakdown:
   Model: claude-sonnet-4-20250514
   Input tokens: 156 ($0.000468)
   Output tokens: 423 ($0.006345)
   Total tokens: 579
   Total cost: $0.006813
───────────────────────────────────────────────────────────────────

❯ /stats

═══════════════════════════════════════════════════════════════════
  📊 Session Statistics
═══════════════════════════════════════════════════════════════════

  Session Name:    default
  Exchanges:       1 conversations
  Total Tokens:    579
  Total Cost:      $0.006813
═══════════════════════════════════════════════════════════════════

📝 One-Off Questions

Ask a single question without entering interactive mode:

llmctl ask "what is fibonacci number?"
llmctl ask "write a Python function to reverse a string"

🔄 Provider Management

Switch between different models:

# OpenAI models
llmctl use gpt-4
llmctl use gpt-4-turbo
llmctl use gpt-4o-mini

# Claude models
llmctl use claude:sonnet-4
llmctl use claude:sonnet-4.5
llmctl use claude:opus-4
llmctl use claude:haiku-4

💾 Session Management

Use named sessions to keep different conversations separate:

# Start a named session
llmctl interactive --session myproject

# Start another session
llmctl interactive --session work

Sessions are stored in ~/.cllm/sessions/ and persist across restarts.

📂 File Structure

~/.cllm/
├── config.json              # Current provider and session
└── sessions/
    ├── default.json         # Default session
    ├── myproject.json       # Named session
    └── work.json            # Another session

🎨 Color Scheme

The modern, beautiful interface features:

• Cyan - Borders and structure
• Blue - User input prompts
• Magenta - Section headers and AI labels
• Yellow - Command names and highlights
• Green - Success messages
• Red - Error messages
• Black/Default - Response text (high contrast)

Advanced Examples

Code Review Workflow

llmctl interactive --session codereview

❯ /attach app.py
❯ /attach utils.py
❯ /files
📎 Attached files:
  • app.py
  • utils.py

❯ review these files for security issues

[Assistant analyzes both files...]

───────────────────────────────────────────────────────────────────
💰 Cost Breakdown:
   Model: claude-sonnet-4-20250514
   Input tokens: 2,847 ($0.008541)
   Output tokens: 1,234 ($0.018510)
   Total tokens: 4,081
   Total cost: $0.027051
───────────────────────────────────────────────────────────────────

❯ /stats

═══════════════════════════════════════════════════════════════════
  📊 Session Statistics
═══════════════════════════════════════════════════════════════════

  Session Name:    codereview
  Exchanges:       1 conversations
  Total Tokens:    4,081
  Total Cost:      $0.027051
  Attached Files:  2 files
═══════════════════════════════════════════════════════════════════

Cost Comparison Between Models

llmctl interactive --session comparison

❯ /use claude:haiku-4
❯ explain neural networks in 100 words

───────────────────────────────────────────────────────────────────
💰 Cost Breakdown:
   Model: claude-haiku-4-20250514
   Input tokens: 12 ($0.000010)
   Output tokens: 95 ($0.000380)
   Total tokens: 107
   Total cost: $0.000390
───────────────────────────────────────────────────────────────────

❯ /clear
❯ /use gpt-4
❯ explain neural networks in 100 words

───────────────────────────────────────────────────────────────────
💰 Cost Breakdown:
   Model: gpt-4
   Input tokens: 12 ($0.000360)
   Output tokens: 102 ($0.006120)
   Total tokens: 114
   Total cost: $0.006480
───────────────────────────────────────────────────────────────────

# Haiku is 16x cheaper! 🎉

Supported Providers

OpenAI

• gpt-4 - Most capable, $30/$60 per 1M tokens
• gpt-4-turbo - Fast and capable, $10/$30 per 1M tokens
• gpt-4o - Optimized, $2.50/$10 per 1M tokens
• gpt-4o-mini - Fast and cheap, $0.15/$0.60 per 1M tokens
• gpt-3.5-turbo - Legacy, $0.50/$1.50 per 1M tokens

Anthropic (Claude)

• sonnet-4 or claude-sonnet-4-20250514 - Balanced, $3/$15 per 1M tokens
• sonnet-4.5 or claude-sonnet-4-5-20250929 - Latest Sonnet
• opus-4 or claude-opus-4-20250514 - Most capable, $15/$75 per 1M tokens
• haiku-4 or claude-haiku-4-20250514 - Fastest & cheapest, $0.80/$4 per 1M tokens

Tips & Best Practices

1. Start with cheaper models:

   llmctl use claude:haiku-4  # Perfect for simple tasks
   

2. Attach files for context:

   /attach main.py
   /attach config.yaml
   /attach README.md
   

3. Use named sessions for organization:

   llmctl interactive --session client-work
   llmctl interactive --session personal-projects
   

4. Monitor costs regularly:

   /stats  # Check spending anytime
   

5. Clear history when switching topics:

   /clear  # Start fresh conversation
   

6. Model selection guide:

   • Simple Q&A, summaries: haiku-4 or gpt-4o-mini
   • Code review, analysis: sonnet-4 or gpt-4o
   • Complex reasoning, research: opus-4 or gpt-4

Environment Variables

Set these in your shell profile (~/.bashrc, ~/.zshrc, etc.) for persistence:

# Add to ~/.bashrc or ~/.zshrc
export OPENAI_API_KEY="sk-your-key-here"
export ANTHROPIC_API_KEY="sk-ant-your-key-here"

Then reload:

source ~/.bashrc  # or source ~/.zshrc

Troubleshooting

Colors not showing?

Colorama is installed automatically. If colors don't work:

pip install --upgrade colorama

API key errors?

Verify keys are set:

echo $OPENAI_API_KEY
echo $ANTHROPIC_API_KEY

Command not found?

Ensure Python scripts directory is in PATH:

# Add to ~/.bashrc or ~/.zshrc
export PATH="$HOME/.local/bin:$PATH"

Session not saving?

Check permissions:

ls -la ~/.cllm/
chmod 755 ~/.cllm

Development

Install in development mode:

git clone https://github.com/sabbiramin113008/llmctl.git
cd llmctl
pip install -e .

Run tests:

pytest tests/

Build package:

python -m build

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

SM Sabbir Amin - GitHub

Acknowledgments

• OpenAI for the GPT API
• Anthropic for the Claude API
• The Python community for amazing tools

Support

• 🐛 Report bugs
• 💡 Request features
• ⭐ Star this repo if you find it useful!

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