cognautic-cli 1.1.0

A Python-based CLI AI coding agent that provides agentic development capabilities with multi-provider AI support and real-time interaction

Cognautic CLI

A Python-based CLI AI coding agent that provides agentic development capabilities with multi-provider AI support and real-time interaction.

⚠️ Under Development - Some features may be unavailable

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Overview

Cognautic CLI is a Python-based command-line interface that brings AI-powered development capabilities directly to your terminal. It provides agentic tools for file operations, command execution, web search, and code analysis with support for multiple AI providers. The tool is accessed through a single cognautic command with various subcommands.

⚠️ Development Notice: Cognautic CLI is currently under development. Some features may be unavailable or subject to change.

Project Information

Property	Value
Developer	cognautic
Written in	Python
Operating system	Cross-platform
Type	AI Development Tool
Status	Under Development
Repository	github.com/cognautic/cli

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Features

• Multi-Provider AI Support: Integrate with OpenAI, Anthropic, Google, Together AI, OpenRouter, and 15+ other AI providers
• Local Model Support: Run free open-source Hugging Face models locally without API keys (NEW! 🎉)
• Agentic Tools: File operations, command execution, web search, and code analysis
• Intelligent Web Search: Automatically searches the web when implementing features requiring current/external information (NEW! 🔍)
• Real-time Communication: WebSocket server for live AI responses and tool execution
• Secure Configuration: Encrypted API key storage and permission management
• Interactive CLI: Rich terminal interface with progress indicators, colored output, and command history

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Installation

Prerequisites

Ensure you have Python 3.8 or higher installed:

python --version

Download the Wheel File

Download the latest .whl file from the official repository:

# Visit https://github.com/cognautic/cli/releases
# Download the latest cognautic_cli-z.z.z-py3-none-any.whl file

Installation with pip

Install the downloaded wheel file using pip:

# Navigate to your downloads folder
cd ~/Downloads

# Install the wheel file
pip install cognautic_cli-z.z.z-py3-none-any.whl

Installation with pipx (Recommended)

For isolated installation, use pipx:

# Install pipx if you don't have it
pip install pipx
pipx ensurepath

# Install Cognautic CLI with pipx
pipx install cognautic_cli-z.z.z-py3-none-any.whl

Verify Installation

Check that Cognautic CLI is installed correctly:

cognautic --version

Updating Cognautic CLI

To update to a newer version, download the new wheel file and:

# With pip (force reinstall)
pip install cognautic_cli-y.y.y-py3-none-any.whl --force-reinstall

# With pipx
pipx upgrade cognautic-cli
# Or force reinstall with pipx
pipx install cognautic_cli-y.y.y-py3-none-any.whl --force

Note: Replace y.y.y and z.z.z with actual version numbers (e.g., 1.0.0, 1.1.0).

Uninstallation

To remove Cognautic CLI:

# With pip
pip uninstall cognautic-cli

# With pipx
pipx uninstall cognautic-cli

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Quick Start

Step 1: Install Cognautic CLI

pip install cognautic_cli-x.x.x-py3-none-any.whl

Step 2: Run Setup

cognautic setup --interactive

This will guide you through:

• Configuring API keys for your preferred AI providers
• Setting default provider and model
• Basic preferences

Step 3: Start Chatting

cognautic chat

Now you can chat with AI and use slash commands like:

• /help - Show available commands
• /provider openai - Switch AI provider
• /model gpt-4 - Change model
• /workspace ~/myproject - Set working directory
• /lmodel microsoft/phi-2 - Load local model

That's it! Start chatting and let the AI help you code.

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Available Slash Commands

Once you're in chat mode (cognautic chat), use these commands:

Workspace & Configuration

/workspace <path>    # Change working directory (alias: /ws)
/setup               # Run interactive setup wizard
/config list         # Show current configuration
/config set <key> <value>  # Set configuration value
/help                # Show all available commands

AI Provider & Model Management

/provider [name]     # Switch AI provider (openai, anthropic, google, etc.)
/model [model_id]    # Switch AI model
/model list          # Fetch available models from provider's API
/lmodel <path>       # Load local Hugging Face model
/lmodel unload       # Unload current local model

Session Management

/session             # Show current session info
/session list        # List all sessions
/session new         # Create new session
/session load <id>   # Load existing session
/session delete <id> # Delete session
/session title <text> # Update session title

Display & Interface

/speed [instant|fast|normal|slow]  # Set typing speed
/clear               # Clear chat screen
/exit or /quit       # Exit chat session

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Command-Line Usage

Cognautic CLI provides these main commands:

Setup Command

cognautic setup --interactive           # Interactive setup wizard
cognautic setup --provider openai       # Quick provider setup

Chat Command

cognautic chat                          # Start interactive chat
cognautic chat --provider anthropic     # Chat with specific provider
cognautic chat --model claude-3-sonnet  # Chat with specific model
cognautic chat --project-path ./my_project  # Set workspace
cognautic chat --session <id>           # Continue existing session

Config Command

cognautic config list                   # Show all configuration
cognautic config set <key> <value>      # Set configuration value
cognautic config get <key>              # Get configuration value
cognautic config delete <key>           # Delete configuration key
cognautic config reset                  # Reset to defaults

Providers Command

cognautic providers                     # List all AI providers and endpoints

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Supported AI Providers

Provider	Models	API Key Required
OpenAI	GPT models (GPT-4, GPT-3.5)	OPENAI_API_KEY
Anthropic	Claude models (Claude-3 Sonnet, Haiku)	ANTHROPIC_API_KEY
Google	Gemini models	GOOGLE_API_KEY
Together AI	Various open-source models	TOGETHER_API_KEY
OpenRouter	Access to multiple providers	OPENROUTER_API_KEY
Local Models	Hugging Face models (Llama, Mistral, Phi, etc.)	❌ No API key needed!

Using Local Models (NEW! 🎉)

Run free open-source AI models locally without any API keys:

# Install dependencies
pip install transformers torch accelerate

# Start chat and load a local model
cognautic chat
/lmodel microsoft/phi-2
/provider local

# Now chat with your local model!

Popular local models:

• microsoft/phi-2 - Small and fast (2.7B)
• TinyLlama/TinyLlama-1.1B-Chat-v1.0 - Ultra lightweight (1.1B)
• meta-llama/Llama-2-7b-chat-hf - High quality (7B)
• mistralai/Mistral-7B-Instruct-v0.2 - Excellent performance (7B)

Benefits:

• ✅ Complete privacy - no data sent externally
• ✅ No API costs
• ✅ Works offline
• ✅ Full control over model behavior

📖 Read the full Local Models Guide →

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Intelligent Web Search (NEW! 🔍)

Cognautic CLI now features intelligent web search that automatically researches information when needed. The AI will search the web when:

• Implementing APIs: "Implement Stripe payment integration"
• Using Latest Libraries: "Create a React app with TailwindCSS"
• Research Requests: "What's the best way to implement real-time chat?"
• Current Best Practices: "Build a modern authentication system"

Example Usage

You: Implement OpenAI API in my Python project

AI: 🔍 Searching for latest OpenAI API documentation...
    ✅ Found: OpenAI API Reference
    📝 Creating implementation with current best practices...
    
    [Creates files with up-to-date API usage]

When Web Search is Used

✅ Automatically triggered for:

• Latest API documentation
• Current framework/library versions
• Modern best practices
• Technologies requiring external information

❌ Not used for:

• Basic programming concepts
• Simple file operations
• General coding tasks

📖 Read the full Web Search Guide → | Quick Reference →

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Configuration

Configuration files are stored in ~/.cognautic/:

• config.json: General settings and preferences
• api_keys.json: Encrypted API keys for AI providers
• sessions/: Chat session history and context
• cache/: Temporary files and model cache

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Command Usage

All Cognautic CLI functionality is accessed through the single cognautic command. The general syntax is:

cognautic <subcommand> [options] [arguments]

Getting Help

# Show general help
cognautic --help

# Show help for specific command
cognautic chat --help

Version Information

cognautic --version

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WebSocket Server & Real-time Streaming

Cognautic CLI includes a powerful WebSocket server that enables real-time, streaming AI responses. Instead of waiting for the complete response, you receive AI-generated content as it's being produced, providing a much more interactive experience.

Starting the WebSocket Server

The WebSocket server starts automatically when you run chat mode:

# Start with default settings (port 8765)
cognautic chat

# Specify custom port
cognautic chat --websocket-port 9000

# With specific provider and model
cognautic chat --provider openai --model gpt-4o-mini --websocket-port 8765

Key Features

• ✨ Real-time Streaming: AI responses stream chunk-by-chunk as they're generated
• 🔄 Bi-directional: Full duplex WebSocket communication
• 🔐 Session Management: Automatic session creation and context preservation
• 🤖 Multi-provider: Works with all supported AI providers
• 🛠️ Tool Execution: Execute tools and file operations via WebSocket

Client Examples

Python Client:

python examples/websocket_client_example.py

# Interactive mode
python examples/websocket_client_example.py interactive

Web Browser:

# Open in your browser
open examples/websocket_client.html

Basic Usage Example

import asyncio
import json
import websockets

async def chat():
    uri = "ws://localhost:8765"
    async with websockets.connect(uri) as ws:
        # Receive welcome message
        welcome = json.loads(await ws.recv())
        print(f"Connected! Session: {welcome['session_id']}")
        
        # Send chat message with streaming enabled
        await ws.send(json.dumps({
            "type": "chat",
            "message": "Explain Python async/await",
            "stream": true
        }))
        
        # Receive streaming response in real-time
        while True:
            response = json.loads(await ws.recv())
            
            if response['type'] == 'stream_chunk':
                print(response['chunk'], end='', flush=True)
            elif response['type'] == 'stream_end':
                break

asyncio.run(chat())

API Documentation

For complete WebSocket API documentation, see WEBSOCKET_API.md.

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Examples

Simple Chat Session

Start chatting with AI:

$ cognautic chat
 ██████╗ ██████╗  ██████╗ ███╗   ██╗ █████╗ ██╗   ██╗████████╗██╗ ██████╗
██╔════╝██╔═══██╗██╔════╝ ████╗  ██║██╔══██╗██║   ██║╚══██╔══╝██║██╔════╝
██║     ██║   ██║██║  ███╗██╔██╗ ██║███████║██║   ██║   ██║   ██║██║     
██║     ██║   ██║██║   ██║██║╚██╗██║██╔══██║██║   ██║   ██║   ██║██║     
╚██████╗╚██████╔╝╚██████╔╝██║ ╚████║██║  ██║╚██████╔╝   ██║   ██║╚██████╗
 ╚═════╝ ╚═════╝  ╚═════╝ ╚═╝  ╚═══╝╚═╝  ╚═╝ ╚═════╝    ╚═╝   ╚═╝ ╚═════╝

💡 Type '/help' for commands, 'exit' to quit
🌐 WebSocket server: ws://localhost:8765
📁 Workspace: /home/user/projects
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You [projects]: Can you help me create a Python function?
AI: Of course! I'd be happy to help you create a Python function...

You [projects]: /workspace ~/myproject
✅ Workspace changed to: /home/user/myproject

You [myproject]: Create a file called utils.py with helper functions
AI: I'll create that file for you...

First-Time Setup

$ cognautic
🎉 Welcome to Cognautic! Let's get you set up.
🔑 No API keys found. Let's configure them.

Which AI provider would you like to use?
1. OpenAI (GPT-4, GPT-3.5)
2. Anthropic (Claude)
3. Google (Gemini)
4. Other providers...

Choice [1-4]: 2
🔐 Please enter your Anthropic API key: sk-ant-...
✅ API key saved securely!

🚀 Setup complete! You're ready to go.

Using Local Models

Run AI models locally without API keys:

$ cognautic chat
You: /lmodel microsoft/phi-2
🔄 Loading local model from: microsoft/phi-2
⏳ This may take a few minutes depending on model size...
Loading local model from microsoft/phi-2 on cuda...
✅ Model loaded successfully on cuda
✅ Local model loaded successfully!
💡 Use: /provider local - to switch to the local model

You: /provider local
✅ Switched to provider: local

You: Hello! Can you help me code?
AI: Hello! Yes, I'd be happy to help you with coding...

Working with Multiple Providers

Switch between different AI providers:

You: /provider openai
✅ Switched to provider: openai

You: /model gpt-4o
✅ Switched to model: gpt-4o

You: Write a Python function to sort a list
AI: Here's a Python function...

You: /provider anthropic
✅ Switched to provider: anthropic

You: /model claude-3-sonnet-20240229
✅ Switched to model: claude-3-sonnet-20240229

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License

Proprietary - All Rights Reserved

© 2024 cognautic

For licensing inquiries, contact: [e-mail]