claude-dev-cli 0.3.0

A powerful CLI tool for developers using Claude AI with multi-API routing, test generation, code review, and usage tracking

Claude Dev CLI

A powerful command-line tool for developers using Claude AI with multi-API routing, test generation, code review, and comprehensive usage tracking.

Features

🔑 Multi-API Key Management

• Route tasks to different Claude API keys (personal, client, enterprise)
• Automatic API selection based on project configuration
• Environment variable support for secure key management

🧪 Developer Tools

• Test Generation: Automatic pytest test generation for Python code
• Code Review: Comprehensive code reviews with security, performance, and best practice checks
• Debug Assistant: Analyze errors and get fixes with explanations
• Documentation: Generate docstrings and README documentation
• Refactoring: Get suggestions for code improvements
• Git Integration: Generate conventional commit messages from diffs

📊 Usage Tracking

• Track token usage per API key
• Cost estimation based on current pricing
• Filter by date range and API config
• Detailed breakdowns by model, date, and API

💬 Interaction Modes

• Single-shot: Quick questions with piping support
• Interactive: Chat mode with conversation history
• Streaming: Real-time responses

🎒 TOON Format Support (Optional)

• Token Reduction: 30-60% fewer tokens than JSON
• Cost Savings: Reduce API costs significantly
• Format Conversion: JSON ↔ TOON with CLI tools
• Auto-fallback: Works without TOON installed

Installation

Basic Installation

pip install claude-dev-cli

With TOON Support (Recommended for Cost Savings)

# Install with TOON format support for 30-60% token reduction
pip install claude-dev-cli[toon]

Quick Start

1. Set Up API Keys

# Add your personal API key
export PERSONAL_ANTHROPIC_API_KEY="sk-ant-..."
cdc config add personal --default --description "My personal API key"

# Add client's API key
export CLIENT_ANTHROPIC_API_KEY="sk-ant-..."
cdc config add client --description "Client's Enterprise API"

# List configured APIs
cdc config list

2. Basic Usage

# Ask a question
cdc ask "explain asyncio in Python"

# With file context
cdc ask -f mycode.py "review this code"

# Pipe input
cat error.log | cdc ask "what's causing this error?"

# Interactive mode
cdc interactive

# Use specific API
cdc ask -a client "generate tests for this function"

3. Developer Commands

# Generate tests
cdc generate tests mymodule.py -o tests/test_mymodule.py

# Code review
cdc review mymodule.py

# Debug errors
python script.py 2>&1 | cdc debug

# Generate documentation
cdc generate docs mymodule.py

# Refactor suggestions
cdc refactor legacy_code.py

# Git commit message
git add .
cdc git commit

4. Usage Tracking

# View all usage
cdc usage

# Last 7 days
cdc usage --days 7

# Filter by API
cdc usage --api client

5. TOON Format (Optional - Reduces Tokens by 30-60%)

# Check if TOON is installed
cdc toon info

# Convert JSON to TOON
echo '{"users": [{"id": 1, "name": "Alice"}]}' | cdc toon encode
# Output:
# users[1]{id,name}:
# 1,Alice

# Convert file
cdc toon encode data.json -o data.toon

# Convert TOON back to JSON
cdc toon decode data.toon -o data.json

# Use in workflows
cat large_data.json | cdc toon encode | cdc ask "analyze this data"

Configuration

Global Configuration

Configuration is stored in ~/.claude-dev-cli/config.json:

{
  "api_configs": [
    {
      "name": "personal",
      "api_key": "sk-ant-...",
      "description": "My personal API key",
      "default": true
    },
    {
      "name": "client",
      "api_key": "sk-ant-...",
      "description": "Client's Enterprise API",
      "default": false
    }
  ],
  "default_model": "claude-3-5-sonnet-20241022",
  "max_tokens": 4096
}

Project-Specific Configuration

Create .claude-dev-cli in your project root:

{
  "name": "My Project",
  "api_config": "client",
  "system_prompt": "You are a Python expert focused on data science.",
  "allowed_commands": ["all"]
}

The tool will automatically use the client's API when you run commands in that project!

API Routing Strategy

Scenario: Client Work with Enterprise API

# 1. Set up client's API
export CLIENT_ANTHROPIC_API_KEY="sk-ant-..."
cdc config add client --description "Client Enterprise API"

# 2. Create project config
cd /path/to/client/project
cat > .claude-dev-cli << 'EOF'
{
  "name": "Client Project",
  "api_config": "client",
  "system_prompt": "You are a senior Python developer."
}
EOF

# 3. All commands in this directory now use client's API
cdc generate tests app.py  # Uses client's API
cdc review code.py         # Uses client's API

# 4. Your personal projects use your API
cd ~/my-personal-project
cdc generate tests app.py  # Uses your personal API

What the Client Can See

When using a client's Enterprise API:

✅ They CAN see:

• Total API calls and token usage
• Costs associated with the API key
• Potentially conversation history (if enabled by admin)

❌ They CANNOT see:

• Which machine you used
• Your other API keys or projects
• Local files unless you sent the content

Command Reference

Core Commands

Command	Description
cdc ask <prompt>	Ask Claude a question
cdc interactive	Start interactive chat
cdc usage	Show usage statistics

Configuration

Command	Description
cdc config add <name>	Add API configuration
cdc config list	List all API configs

Code Generation

Command	Description
cdc generate tests <file>	Generate pytest tests
cdc generate docs <file>	Generate documentation

Code Analysis

Command	Description
cdc review <file>	Review code
cdc debug -f <file> -e <error>	Debug code
cdc refactor <file>	Refactoring suggestions

Git Helpers

Command	Description
cdc git commit	Generate commit message

Options

Common Options

• -a, --api <name>: Use specific API config
• -m, --model <name>: Use specific Claude model
• -s, --system <prompt>: Set system prompt
• -f, --file <path>: Include file in prompt
• -o, --output <path>: Save output to file

Models

• claude-3-5-sonnet-20241022 (default)
• claude-3-opus-20240229
• claude-3-haiku-20240307

Examples

Test Generation

# Generate tests for a module
cdc generate tests src/calculator.py -o tests/test_calculator.py

# Review the tests
cdc review tests/test_calculator.py

Code Review Workflow

# Review before committing
cdc review mycode.py

# Fix issues, then generate commit message
git add mycode.py
cdc git commit

Debugging

# Run script and analyze errors
python buggy_script.py 2>&1 | cdc debug

# Or debug a specific file
cdc debug -f buggy_script.py -e "NameError: name 'x' is not defined"

Using Multiple APIs

# Personal work
cdc ask "explain decorators" -a personal

# Client work
cdc generate tests client_code.py -a client

# Check usage per API
cdc usage --api personal
cdc usage --api client

Environment Variables

Variable	Description
{NAME}_ANTHROPIC_API_KEY	API key for config named "name"
ANTHROPIC_API_KEY	Default API key

Usage Log Format

Usage logs are stored in ~/.claude-dev-cli/usage.jsonl:

{
  "timestamp": "2024-12-28T03:00:00.000000",
  "api_config": "client",
  "model": "claude-3-5-sonnet-20241022",
  "prompt_preview": "Generate tests for...",
  "input_tokens": 1523,
  "output_tokens": 2847,
  "duration_ms": 3421
}

Development

# Clone the repository
git clone https://github.com/thinmanj/claude-dev-cli
cd claude-dev-cli

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black src/
ruff check src/

Contributing

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

License

MIT License - see LICENSE for details.

Author

Julio (@thinmanj)

Acknowledgments

• Built with Anthropic's Claude API
• CLI powered by Click
• Beautiful terminal output with Rich

Support

• 🐛 Report bugs
• 💡 Request features
• 📖 Documentation