Skip to main content

Towards automated general intelligence.

Project description

PyPI - Version PyPI - Downloads

PyPI | Documentation | Discord | Roadmap

Language InterOperable Network - LION

an AGentic Intelligence Operating System

pip install lionagi

or

poetry add lionagi

Powerful Intelligent Workflow Automation

lionagi is an intelligent agentic workflow automation framework. It introduces advanced ML models into any existing workflows and data infrastructure.

Why Automating Workflows?

Intelligent AI models such as Large Language Model (LLM), introduced new possibilities of human-computer interaction. LLMs is drawing a lot of attention worldwide due to its “one model fits all”, and incredible performance. One way of using LLM is to use as search engine, however, this usage is complicated by the fact that LLMs hallucinate.

What goes inside of a LLM is more akin to a black-box, lacking interpretability, meaning we don’t know how it reaches certain answer or conclusion, thus we cannot fully trust/rely the output from such a system. Another approach of using LLM is to treat them as intelligent agent, that are equipped with various tools and data sources. A workflow conducted by such an intelligent agent have clear steps, and we can specify, observe, evaluate and optimize the logic for each decision that the agent made to perform actions. This approach, though we still cannot pinpoint how LLM output what it outputs, but the flow itself is explainable.

Community

We encourage contributions to LionAGI and invite you to enrich its features and capabilities. Engage with us and other community members Join Our Discord

Citation

When referencing LionAGI in your projects or research, please cite:

@software{Li_LionAGI_2023,
  author = {Haiyang Li},
  month = {12},
  year = {2023},
  title = {LionAGI: Towards Automated General Intelligence},
  url = {https://github.com/lion-agi/lionagi},
}

Requirements

Python 3.10 or higher.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lionagi-0.3.7.tar.gz (228.1 kB view details)

Uploaded Source

Built Distribution

lionagi-0.3.7-py3-none-any.whl (317.2 kB view details)

Uploaded Python 3

File details

Details for the file lionagi-0.3.7.tar.gz.

File metadata

  • Download URL: lionagi-0.3.7.tar.gz
  • Upload date:
  • Size: 228.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.7 Linux/6.5.0-1025-azure

File hashes

Hashes for lionagi-0.3.7.tar.gz
Algorithm Hash digest
SHA256 7ec47e0fea8e704e0cca52a0f51b6a523843b084ded7c6c9b0db8ec0d15cf92e
MD5 867abe256ad94dbed8ed2d5b7603e7b1
BLAKE2b-256 52fc4e2372bd3aac538d8c942c99d0534e372c6980ed2edfa81c0d893bad22ae

See more details on using hashes here.

File details

Details for the file lionagi-0.3.7-py3-none-any.whl.

File metadata

  • Download URL: lionagi-0.3.7-py3-none-any.whl
  • Upload date:
  • Size: 317.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.7 Linux/6.5.0-1025-azure

File hashes

Hashes for lionagi-0.3.7-py3-none-any.whl
Algorithm Hash digest
SHA256 8a0741c29e6d18cd595818151818dfde2be5788013c7616a2e6a898f13875a10
MD5 ac85253d757cd448ae26acabd807ad5b
BLAKE2b-256 0abe7d9b0a55875b64efb7df88214d34d1b9c1a6b9ecd79d704f5cd9747e51a9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page