HelpingAI 1.1.2

Python client library for the HelpingAI API

HelpingAI Python SDK

The official Python library for the HelpingAI API - Advanced AI with Emotional Intelligence

🚀 Features

• OpenAI-Compatible API: Drop-in replacement with familiar interface
• Emotional Intelligence: Advanced AI models with emotional understanding
• Streaming Support: Real-time response streaming
• Comprehensive Error Handling: Detailed error types and retry mechanisms
• Type Safety: Full type hints and IDE support
• Flexible Configuration: Environment variables and direct initialization

📦 Installation

pip install HelpingAI

🔑 Authentication

Get your API key from the HelpingAI Dashboard.

Environment Variable (Recommended)

export HAI_API_KEY='your-api-key'

Direct Initialization

from HelpingAI import HAI

hai = HAI(api_key='your-api-key')

🎯 Quick Start

from HelpingAI import HAI

# Initialize client
hai = HAI()

# Create a chat completion
response = hai.chat.completions.create(
    model="Helpingai3-raw",
    messages=[
        {"role": "system", "content": "You are an expert in emotional intelligence."},
        {"role": "user", "content": "What makes a good leader?"}
    ]
)

print(response.choices[0].message.content)

🌊 Streaming Responses

# Stream responses in real-time
for chunk in hai.chat.completions.create(
    model="Helpingai3-raw",
    messages=[{"role": "user", "content": "Tell me about empathy"}],
    stream=True
):
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

⚙️ Advanced Configuration

Parameter Control

response = hai.chat.completions.create(
    model="Dhanishtha-2.0-preview",
    messages=[{"role": "user", "content": "Write a story about empathy"}],
    temperature=0.7,        # Controls randomness (0-1)
    max_tokens=500,        # Maximum length of response
    top_p=0.9,            # Nucleus sampling parameter
    frequency_penalty=0.3, # Reduces repetition
    presence_penalty=0.3,  # Encourages new topics
    hide_think=True       # Filter out reasoning blocks
)

Client Configuration

hai = HAI(
    api_key="your-api-key",
    base_url="https://api.helpingai.co/v1",  # Custom base URL
    timeout=30.0,                            # Request timeout
    organization="your-org-id"               # Organization ID
)

🛡️ Error Handling

from HelpingAI import HAI, HAIError, RateLimitError, InvalidRequestError
import time

def make_completion_with_retry(messages, max_retries=3):
    for attempt in range(max_retries):
        try:
            return hai.chat.completions.create(
                model="Helpingai3-raw",
                messages=messages
            )
        except RateLimitError as e:
            if attempt == max_retries - 1:
                raise
            time.sleep(e.retry_after or 1)
        except InvalidRequestError as e:
            print(f"Invalid request: {str(e)}")
            raise
        except HAIError as e:
            print(f"API error: {str(e)}")
            raise

🤖 Available Models

Helpingai3-raw

• Advanced Emotional Intelligence: Enhanced emotional understanding and contextual awareness
• Training Data: 15M emotional dialogues, 3M therapeutic exchanges, 250K cultural conversations, 1M crisis response scenarios
• Best For: AI companionship, emotional support, therapy guidance, personalized learning

Dhanishtha-2.0-preview

• World's First Intermediate Thinking Model: Multi-phase reasoning with self-correction capabilities
• Unique Features: <think>...</think> blocks for transparent reasoning, structured emotional reasoning (SER)
• Best For: Complex problem-solving, analytical tasks, educational content, reasoning-heavy applications

# List all available models
models = hai.models.list()
for model in models:
    print(f"Model: {model.id} - {model.description}")

# Get specific model info
model = hai.models.retrieve("Helpingai3-raw")
print(f"Model: {model.name}")

# Use Dhanishtha-2.0 for complex reasoning
response = hai.chat.completions.create(
    model="Dhanishtha-2.0-preview",
    messages=[{"role": "user", "content": "Solve this step by step: What's 15% of 240?"}],
    hide_think=False  # Show reasoning process
)

📚 Documentation

Comprehensive documentation is available:

• 📖 Getting Started Guide - Installation and basic usage
• 🔧 API Reference - Complete API documentation
• 💡 Examples - Code examples and use cases
• ❓ FAQ - Frequently asked questions

🏗️ Project Structure

HelpingAI-python/
├── HelpingAI/              # Main package
│   ├── __init__.py         # Package initialization
│   ├── client.py           # Main HAI client
│   ├── models.py           # Model management
│   ├── base_models.py      # Data models
│   ├── error.py            # Exception classes
│   └── version.py          # Version information
├── docs/                   # Documentation
├── tests/                  # Test suite
├── setup.py               # Package configuration
└── README.md              # This file

🔧 Requirements

• Python: 3.7-3.14
• Dependencies:
  • requests - HTTP client
  • typing_extensions - Type hints support

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support & Community

• Issues: GitHub Issues
• Documentation: HelpingAI Docs
• Dashboard: HelpingAI Dashboard
• Email: [e-mail]

🚀 What's New in v1.1.0

• Extended Python Support: Now supports Python 3.7-3.14
• Updated Models: Support for latest models (Helpingai3-raw, Dhanishtha-2.0-preview)
• Dhanishtha-2.0 Integration: World's first intermediate thinking model with multi-phase reasoning
• HelpingAI3 Support: Enhanced emotional intelligence with advanced contextual awareness
• Improved Model Management: Better fallback handling and detailed model descriptions
• OpenAI-Compatible Interface: Familiar API design
• Enhanced Error Handling: Comprehensive exception types
• Streaming Support: Real-time response streaming
• Advanced Filtering: Hide reasoning blocks with hide_think parameter

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Built with ❤️ by the HelpingAI Team

Empowering AI with Emotional Intelligence