toxo 1.0.6

Smart Layer for Context Augmented Language Models (CALM) - Convert any LLM into CALM

TOXO - Smart Layer for Context Augmented Language Models (CALM)

🧠 World's First Comprehensive No-Code LLM Training Platform

Transform any black-box LLM into a domain expert without coding. Train sophisticated AI models through our web interface and deploy them instantly as .toxo files.

🚀 Quick Start

Installation

pip install toxo

Usage

from toxo import ToxoLayer

# Load your trained model (created on toxotune.com)
layer = ToxoLayer.load("your_expert_model.toxo")

# Set your API key (Gemini/OpenAI)
layer.setup_api_key("your_api_key_here")

# Use your trained AI expert
response = layer.query("Your question here")
print(response)

Async Usage

import asyncio
from toxo import ToxoLayer

async def main():
    layer = ToxoLayer.load("your_expert_model.toxo")
    layer.setup_api_key("your_api_key_here")
    
    response = await layer.query_async("Your question here")
    print(response)

asyncio.run(main())

🎯 Key Features

• 🎨 No-Code Training: Create AI experts through our web interface
• ⚡ Instant Deployment: Download and use .toxo files immediately
• 🧠 Domain Expertise: Specialized AI for any field or industry
• 🔄 Continuous Learning: Models improve with feedback
• 📊 Advanced Analytics: Performance monitoring and insights
• 🤖 Multi-Agent Systems: Collaborative AI workflows
• 🔍 Smart Retrieval: Advanced RAG and context processing
• 🎨 Multi-Modal: Text, images, audio, video support

📖 Documentation

Basic Methods

ToxoLayer.load(path)

Load a .toxo model file.

layer = ToxoLayer.load("path/to/your_model.toxo")

layer.setup_api_key(api_key)

Configure your LLM API key (Gemini, OpenAI, etc.).

layer.setup_api_key("your_api_key_here")

layer.query(question, context=None)

Synchronous query to your trained AI expert.

response = layer.query("What is quantum computing?")
response = layer.query("Analyze this data", context={"data": "..."})

layer.query_async(question, context=None)

Asynchronous query for better performance.

response = await layer.query_async("Your question here")

Advanced Methods

layer.get_info()

Get information about your trained model.

info = layer.get_info()
print(f"Domain: {info['domain']}")
print(f"Trained: {info['is_trained']}")
print(f"Performance: {info['metrics']}")

layer.add_feedback(question, response, rating)

Improve your model with feedback.

layer.add_feedback("Question", "Response", 8.5)

layer.get_capabilities()

Discover what your model can do.

capabilities = layer.get_capabilities()
print(capabilities)

🏗️ Creating Models

Models are created on our web platform at toxotune.com:

1. 🎯 Choose Domain: Select your area of expertise
2. 📚 Add Training Data: Upload documents, examples, or data
3. 🏋️ Train Model: Our platform handles the complex training
4. 📦 Download: Get your .toxo file ready for use
5. 🚀 Deploy: Use anywhere with this Python package

🔧 Advanced Usage

Context-Aware Queries

# Provide context for better responses
context = {
    "user_role": "data_scientist",
    "project": "customer_analysis",
    "priority": "high"
}
response = layer.query("How should I approach this?", context=context)

Batch Processing

questions = [
    "What is machine learning?",
    "How does neural networks work?",
    "Explain deep learning"
]

responses = []
for question in questions:
    response = await layer.query_async(question)
    responses.append(response)

Performance Monitoring

# Get performance metrics
metrics = layer.get_performance_metrics()
print(f"Average response time: {metrics['avg_response_time']}")
print(f"Accuracy score: {metrics['accuracy']}")

🛠️ Requirements

• Python 3.8+
• Internet connection (for LLM API calls)
• API key for supported LLM providers (Gemini, OpenAI, etc.)

🔐 Supported LLM Providers

• Google Gemini (Recommended)
• OpenAI GPT (Coming Soon)
• Anthropic Claude (Coming Soon)
• Local Models (Coming Soon)

📊 Model Types

Create specialized AI experts for any domain:

• 📈 Business Intelligence: Data analysis, reporting, insights
• 🔬 Research Assistant: Literature review, hypothesis generation
• 💻 Code Expert: Programming help, code review, debugging
• 📚 Educational Tutor: Personalized learning and explanations
• 🎨 Creative Writer: Content creation, storytelling, copywriting
• ⚕️ Healthcare Assistant: Medical research, patient education
• ⚖️ Legal Advisor: Contract analysis, legal research
• 🏦 Financial Analyst: Market analysis, risk assessment
• And many more...

🆘 Support

• Documentation: docs.toxotune.com
• Support: [e-mail]
• Community: community.toxotune.com
• Issues: GitHub Issues

📄 License

Proprietary License - See LICENSE file for details.

🚀 Get Started

1. Visit toxotune.com
2. Create your first AI expert
3. Download your .toxo file
4. Install this package: pip install toxo
5. Start using your trained AI!

---

TOXO - Democratizing AI Training for Everyone 🧠✨

toxo_public_python_package

toxo_public_python_package