intelisys 0.3.0

Intelligence/AI services for the Lifsys Enterprise

Intelisys

Intelisys is a powerful Python library that provides a unified interface for interacting with various AI models and services. It offers seamless integration with OpenAI, Anthropic, Google, TogetherAI, Groq, MistralAI, and more, making it an essential tool for AI-powered applications.

New in Version 0.3.0

• Added support for multiple new AI models including OpenAI, Anthropic, Google, TogetherAI, Groq, and MistralAI
• Introduced asynchronous methods for chat and response handling
• Implemented template-based API calls with template_api and template_api_json functions
• Added a JSON fixing utility with the fix_json function
• Significantly refactored the Intelisys class for better performance and flexibility
• Improved error handling and logging across the library
• Enhanced API key management using 1Password Connect

Installation

Install Intelisys using pip:

pip install intelisys

For the latest development version:

pip install git+https://github.com/lifsys/intelisys.git

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: The library requires a local 1Password Connect server for API key retrieval.

Key Features

• Multi-model support (OpenAI, Anthropic, Google, TogetherAI, Groq, MistralAI)
• Secure API key management with 1Password Connect
• Asynchronous and synchronous chat interfaces
• Template-based API calls for flexible prompts
• JSON formatting and fixing utilities
• Lazy loading of attributes for improved performance
• Comprehensive error handling and logging

Quick Start

from intelisys import Intelisys, get_completion_api

# Using Intelisys class
intelisys = Intelisys(name="MyAssistant", provider="openai", model="gpt-4")
response = intelisys.chat("Explain quantum computing")
print(response)

# Using get_completion_api
response = get_completion_api("What is machine learning?", "gpt-4")
print(response)

Advanced Usage

from intelisys import template_api_json, get_assistant, fix_json

# Template-based API call
render_data = {"topic": "artificial intelligence"}
system_message = "Explain {{topic}} in simple terms."
response = template_api_json("gpt-4", render_data, system_message, "teacher")
print(response)

# Using an OpenAI assistant
assistant_id = "your_assistant_id"
responses = get_assistant("Summarize the latest AI breakthroughs", assistant_id)
for response in responses:
    print(response)

# Fixing malformed JSON
malformed_json = "{'key': 'value', 'nested': {'a':1, 'b': 2,}}"
fixed_json = fix_json(malformed_json)
print(fixed_json)

# Asynchronous chat
import asyncio

async def async_chat():
    intelisys = Intelisys(name="AsyncAssistant", provider="anthropic", model="claude-3.5")
    response = await intelisys.chat_async("What are the implications of AGI?")
    print(response)

asyncio.run(async_chat())

Supported Models

Intelisys supports a wide range of AI models:

• OpenAI: gpt-4o-mini, gpt-4, gpt-4o
• Anthropic: claude-3.5
• Google: gemini-flash
• TogetherAI: llama-3-70b, llama-3.1-large
• Groq: groq-llama, groq-fast
• MistralAI: mistral-large

API Reference

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

Contributing

We welcome contributions! Please see our Contributing Guidelines for more details.

License

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

Changelog

For a detailed list of changes and version history, please refer to the CHANGELOG.md file.

About Lifsys, Inc

Lifsys, Inc is an innovative AI company dedicated to developing cutting-edge solutions for the future. Visit www.lifsys.com to learn more about our mission and projects.