Metadata-Version: 2.1
Name: intellisys
Version: 0.1.0
Summary: Intelligence/AI services for the Lifsys Enterprise
Home-page: https://github.com/yourusername/intellisys
Author: Lifsys Enterprise
Author-email: author@example.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# Intellisys

Intellisys is a Python library that provides intelligence/AI services for the Lifsys Enterprise. It offers a unified interface to interact with various AI models and services, including OpenAI, Anthropic, Google, and more.

## Installation

You can install Intellisys using pip:

```
pip install intellisys
```

## Requirements

- Python 3.7 or higher
- A 1Password Connect server (for API key management)
- Environment variables:
  - `OP_CONNECT_TOKEN`: Your 1Password Connect token
  - `OP_CONNECT_HOST`: The URL of your 1Password Connect server

**Note**: If no local 1Password Connect server is available, the library will fail to retrieve API keys.

## Features

- Support for multiple AI models (OpenAI, Anthropic, Google, etc.)
- Secure API key management using 1Password Connect
- JSON formatting and template rendering
- Asynchronous assistant interactions
- Template-based API calls

## Usage

Here's a quick example of how to use Intellisys:

```python
from intellisys import get_completion_api

# Make sure OP_CONNECT_TOKEN and OP_CONNECT_HOST are set in your environment

response = get_completion_api("Hello, how are you?", "gpt-3.5-turbo")
print(response)
```

### Advanced Usage

```python
from intellisys import template_api_json, get_assistant

# Using a template for API calls
render_data = {"user_name": "Alice"}
system_message = "You are a helpful assistant. Greet {{user_name}}."
response = template_api_json("gpt-4", render_data, system_message, "friendly_assistant")
print(response)

# Using an OpenAI assistant
assistant_id = "your_assistant_id"
reference = "What's the weather like today?"
responses = get_assistant(reference, assistant_id)
for response in responses:
    print(response)
```

## API Reference

For detailed information on available functions and their usage, please refer to the docstrings in the source code.

## License

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

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.
