janito4 0.1.4

OpenAI CLI with Function Calling, MCP Support, and Extensible Tools

Janito4 - an OpenAI CLI with function calling and MCP

Features

• 🔧 Function Calling - Built-in tools for file operations, web search, and more
• 🔌 MCP Support - Connect to Model Context Protocol servers
• 📊 Real-time Progress - Watch tool execution progress as it happens
• 🚀 Easy Setup - Interactive configuration with --config or quick setup with --set flags
• 🔌 Any OpenAI-Compatible API - Works with OpenAI, local servers (LM Studio, Ollama), and custom endpoints

Quick Start

# Install
pip install janito4

# Configure interactively
python -m janito4 --config

# Or set options directly
python -m janito4 --set provider=openai --set-api-key="sk-your-key" --set model=gpt-4

# Start chatting
python -m janito4 "Hello!"

Installation

From PyPI

pip install janito4

For development setup, see README_DEV.md.

Configuration

Interactive Setup

python -m janito4 --config

You'll be prompted for:

• Provider - openai, anthropic, azure, or custom
• API Key - Masked for security
• Model - e.g., gpt-4, gpt-3.5-turbo
• Context Window - Max tokens (default: 65536)

Quick Configuration with --set

Set options directly from the command line:

# Set the provider
python -m janito4 --set provider=openai

# Set your API key
python -m janito4 --set-api-key="sk-your-key-here"

# Set the model
python -m janito4 --set model=gpt-4

# Combine multiple options
python -m janito4 --set provider=openai --set model=gpt-4 --set-api-key="sk-your-key"

View Configuration

python -m janito4 --show-config

Available Options

Option	Description	Example
provider	Provider name	openai, anthropic, azure, custom
model	Model name	gpt-4, claude-3-opus
context-window	Context window size	65536

For custom endpoints (base-url), see README_LOCAL.md.

Usage

Single Prompt

python -m janito4 "What is the capital of France?"

Pipe Input

echo "Tell me a joke" | python -m janito4

Interactive Chat

python -m janito4

Commands in chat mode:

• exit / quit - End session
• restart - Clear conversation history
• Ctrl+D / Ctrl+Z - Exit

Logging

python -m janito4 --log=info "Your prompt"      # Info level
python -m janito4 --log=debug "Your prompt"     # Debug level
python -m janito4 --log=info,debug "Your prompt" # Multiple levels

Examples

OpenAI

python -m janito4 --set provider=openai --set-api-key="sk-your-key" --set model=gpt-4 "Explain quantum computing"

Local LLM (LM Studio, Ollama)

python -m janito4 --set provider=openai --set-api-key="not-needed" --set model="local-model" "What is 2+2?"

Azure OpenAI

python -m janito4 --set provider=azure --set-api-key="your-key" --set model="gpt-4" "Hello"

Built-in Tools

Janito4 includes tools for common tasks:

File Operations

# List files
python -m janito4.tools.files.list_files . --recursive --pattern "*.py"

# Read file
python -m janito4.tools.files.read_file README.md --max-lines 20

Web Search

python -m janito4 "Search the web for the latest Python news"

MCP Tools

Connect to MCP servers using the /mcp command inside the interactive shell:

# Add a stdio-based MCP server
/mcp add myserver stdio python -m mcp.server

# Add an HTTP-based MCP server
/mcp add remote http https://api.example.com/mcp

# List configured servers
/mcp list

For full MCP documentation, see README_MCP.md.

Tool Progress Reporting

Tools report progress in real-time:

🔄 Reading files...
📊 Processing: 50/100 files
✅ Completed: 100 files (2.3MB)

Progress messages go to stderr so they don't interfere with tool output.

Error Handling

Exit Code	Meaning
0	Success
1	Configuration or runtime error
130	User cancelled (Ctrl+C)

Dependencies

• Python 3.6+
• openai>=1.0.0
• rich>=10.0.0
• prompt-toolkit>=3.0.0
• requests (for MCP support)

License

MIT License