Skip to main content

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

For the latest development version, you can install directly from GitHub:

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

Requirements

  • Python 3.6 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, TogetherAI, Groq, MistralAI)
  • 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:

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-4")
print(response)

Advanced Usage

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)

Supported Models

Intellisys supports a variety 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.

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.

Changelog

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

About Lifsys, Inc

Lifsys, Inc is an AI company dedicated to developing solutions for the future. For more information, visit www.lifsys.com.

Metadata

Release files for intellisys 0.1.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for intellisys 0.1.8
File Size Uploaded Provenance Actions
intellisys-0.1.8.tar.gz 11.3 kB Without provenance Details for intellisys-0.1.8.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for intellisys 0.1.8
File Interpreter ABI Platform Actions
intellisys-0.1.8-py3-none-any.whl Python 3 none any Details for intellisys-0.1.8-py3-none-any.whl

Total release size: 20.8 kB

Release files / intellisys-0.1.8.tar.gz

Download URL intellisys-0.1.8.tar.gz
Size 11.3 kB
Tags Source
SHA-256 checksum
How to use checksums
eb730c186c9c37393e18e0a5289abd7992d42e7604a3ce8d5a6ea075d24547a7
BLAKE2b-256 checksum
How to use checksums
c9f1bd0072789b321b28d9fc0f526cc1a7f9a6002927cf222415fbc87117d37a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.0

Release files / intellisys-0.1.8-py3-none-any.whl

Download URL intellisys-0.1.8-py3-none-any.whl
Size 9.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a95dcf05a6f46834b2ab357d6d34225d5ab140b515bb0f7543a583bc1a19f65a
BLAKE2b-256 checksum
How to use checksums
b9557250238e5f8f4b444ad88f98db63ef0f093582d643ae937af0100d08d4c3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.0

Security for intellisys 0.1.8

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page