TERMINALIS-V.2 🤖

The Most Powerful Agentic AI Coding Orchestrator

🚀 Ultra-Powerful Multi-Agent AI Coding System ⚡ Maximum Performance • 🧠 Advanced Orchestration • 🔥 No Limits

🚀 One-Line Installation

iwr -useb https://raw.githubusercontent.com/Gokayofficialtrysolutions/TERMINALIS-V.2/main/install.ps1 | iex

Run this command in PowerShell as Administrator and watch the magic happen!

A sophisticated multi-agent AI system with advanced model management, real-time progress tracking, and safetensors support.

📋 Features

🎯 Multi-Agent Architecture

• 4 Specialized Agents: Coding, Reasoning, Creative, and General purpose agents
• Smart Agent Selection: Automatically selects the best agent based on task type and content
• Multi-Agent Processing: Option to use multiple agents for complex tasks

🐍 Coding Specializations

• Python Development: CodeGen 2.5 7B specialized for Python code generation
• PineScript Trading: Specialized agent for TradingView PineScript strategies
• General Programming: Support for JavaScript, HTML, and other languages

🎨 Advanced UI Features

• Parameter Control: Adjust temperature, tokens, confidence thresholds
• Command History: Persistent history with export capabilities
• Verbosity Control: Toggle detailed processing information
• Session Management: Save and load configurations

🚀 Quick Start

1. Run the Advanced UI (Recommended)

python advanced_ui.py

2. Run the Simple ASCII Interface

python ascii_interface.py

3. Test the Core System

python agentic_ai_system.py

💡 Usage Examples

Basic Commands

🎯 Command> query "Explain machine learning"
🎯 Command> python "Create a fibonacci function"
🎯 Command> pine "Write a moving average strategy"
🎯 Command> status
🎯 Command> agents

Parameter Management

🎯 Command> set temperature=0.8
🎯 Command> set max_tokens=4096
🎯 Command> params
🎯 Command> get temperature

Mode Changes

🎯 Command> mode creative
🎯 Command> mode analysis
🎯 Command> mode code

🔧 Available Agents

1. Coder-CodeGen25 (Coding Agent)

• Type: Primary coding agent
• Specialties: Python, JavaScript, PineScript, General coding
• Best For: Code generation, debugging, programming tasks

2. Reasoner-Qwen3 (Reasoning Agent)

• Type: Analysis and logic agent
• Specialties: Analysis, logic, problem-solving, mathematics
• Best For: Complex reasoning, data analysis, mathematical problems

3. Creative-OpenHermes (Creative Agent)

• Type: Creative and storytelling agent
• Specialties: Creative writing, storytelling, brainstorming, marketing
• Best For: Content creation, creative tasks, brainstorming

4. General-Assistant (General Agent)

• Type: General purpose assistant
• Specialties: Conversation, general queries, information, support
• Best For: General questions, conversation, information lookup

📊 Command Reference

📋 Query Commands

Command	Description	Example
query <text>	Process query with current mode	query "What is AI?"
python <code>	Python code request	python "Create a web scraper"
pine <script>	PineScript request	pine "RSI strategy"
coding <task>	General coding task	coding "HTML contact form"

🎯 Mode Commands

Command	Description
mode general	General queries
mode code	Code generation
mode creative	Creative writing
mode analysis	Deep analysis
mode conversation	Conversation mode
mode planning	Planning tasks

🔧 Parameter Commands

Command	Description	Range
set temperature=X	Model creativity	0.1 - 2.0
set max_tokens=X	Response length	1 - 8192
set confidence_threshold=X	Min confidence	0.0 - 1.0
get <param>	Show parameter value	-
params	Show all parameters	-

📊 System Commands

Command	Description
status	Detailed system status
agents	Show all agents and specializations
history [N]	Show recent commands (default 10)
clear	Clear command history
verbose	Toggle verbose output

💾 Session Commands

Command	Description
save	Save current configuration
export	Export history to JSON
load	Load previous session

🎨 Specialized Coding Features

Python Development

• Automatic selection of CodeGen 2.5 7B for Python tasks
• Secondary reasoning agent (Qwen3) for complex logic
• Optimized for web scraping, data analysis, automation

PineScript Trading

• Specialized for TradingView strategies and indicators
• Creative agent integration for innovative trading ideas
• Support for Pine Script v5 syntax

General Programming

• Multi-language support (JavaScript, HTML, CSS, etc.)
• Code review and optimization suggestions
• Best practices and documentation generation

🔥 Advanced Features

Multi-Agent Processing

Enable multi-agent processing for complex tasks:

response = await system.process_task(task, task_type, multi_agent=True)

Custom Agent Configuration

Agents can be configured with custom parameters:

• Temperature control for creativity
• Token limits for response length
• Confidence thresholds for quality control

Persistent History

• Automatic saving of command history
• Export capabilities for session analysis
• Configuration persistence across sessions

📁 Project Structure

Agentic AI System/
├── agentic_ai_system.py    # Core multi-agent system
├── advanced_ui.py          # Advanced UI with full features
├── ascii_interface.py      # Simple ASCII interface
├── README.md              # This documentation
├── models/                # Model directory (auto-created)
├── agentic_history.pkl    # Command history (auto-created)
└── agentic_config.json    # Configuration (auto-created)

🛠️ System Requirements

• Python 3.7+
• asyncio support
• Windows/Linux/macOS compatible
• No external dependencies required (uses mock agents)

🔮 Future Enhancements

• Real Model Integration: Connect to actual AI models (Ollama, OpenAI, etc.)
• Web Interface: Browser-based UI for easier access
• Plugin System: Extensible agent architecture
• Cloud Integration: Deploy agents in cloud environments
• Performance Metrics: Detailed agent performance tracking

🤝 Contributing

This is a mock system designed for demonstration. To extend:

1. Replace MockAgent with real model implementations
2. Add new agent types in AgentType enum
3. Extend task types in TaskType enum
4. Implement new UI features in the interface files

📝 License

This project is provided as-is for educational and demonstration purposes.

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Ready to explore the future of AI agents? 🚀

Start with: python advanced_ui.py and type help for a complete command reference!