Skip to main content

praisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration.

Project description

Praison AI

Praison AI, leveraging both AutoGen and CrewAI or any other agent framework, represents a low-code, centralised framework designed to simplify the creation and orchestration of multi-agent systems for various LLM applications, emphasizing ease of use, customization, and human-agent interaction.

Installation

pip install praisonai

Run

praisonai

Test

python -m unittest tests.test 

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

praisonai-0.0.9.tar.gz (6.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

praisonai-0.0.9-py3-none-any.whl (11.8 kB view details)

Uploaded Python 3

File details

Details for the file praisonai-0.0.9.tar.gz.

File metadata

  • Download URL: praisonai-0.0.9.tar.gz
  • Upload date:
  • Size: 6.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for praisonai-0.0.9.tar.gz
Algorithm Hash digest
SHA256 ef5d053b67172f4579297a4ae6d2f0136e2d06c51a85795179b51989e6822596
MD5 b9052787e97ecb61ceff777ad4d6f3dd
BLAKE2b-256 c1ff1216187b9c3ca8bf85cfb1da01ce373803da39a7a92617344964436e42d3

See more details on using hashes here.

File details

Details for the file praisonai-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: praisonai-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 11.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for praisonai-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 c702c0bd3553e3547b0eac346e1a3b6d0719fa6d6dd626c68b95a728effcf869
MD5 d9b5d8c13b2e5fcd03f3dde6409af5e0
BLAKE2b-256 e14019718117635f0faad9b666e9f3d926804c90dde7df6c6fa48312d9580e21

See more details on using hashes here.

Supported by

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