Skip to main content

TeamGen AI, developed by Eliran Wong, automates the creation of AI agent teams to address user requests.

Project description

# TeamGen AI

TeamGen AI, developed by Eliran Wong, automates the creation of AI agent teams to address user requests.

Upon receiving a user request, TeamGen AI generates tailor-made teams of AIagents that collaborate to resolve the request.

# Latest Features

Read https://github.com/eliranwong/teamgenai/latest.md

# Requirements

To run TeamGen AI, you need to install and setup [ToolMate AI](https://github.com/eliranwong/toolmate) (version 0.6.30 or later) FIRST!

To install:

> pip install –upgrade toolmate

To install on Android Termux:

> pip install –upgrade toolmate_lite

To setup ToolMate AI:

> tmsetup -m

Select AI a backend and a model. Enter API keys if the selected backend requires.

Note: We are using toolmate as a library to quicken the initial development of this project. We may consider removing this requirement as this project grow.

# Installation

> pip install teamgenai

We recommend creating a virtual environment first, e.g.

` python3 -m venv tgai source tgai/bin/activate pip install --upgrade toolmate teamgenai # setup ToolMate AI tmsetup -m `

Install toolmate_lite instead of toolmate on Android Termux, e.g.

` python3 -m venv tgai source tgai/bin/activate pip install --upgrade toolmate_lite teamgenai # setup ToolMate AI tmsetup -m `

# Run TeamGen AI

Command: tgai

For CLI options run:

> tgai -h

To enter your request in interactive mode:

> tgai

To run with a single command, e.g.

> tgai Write a comprehensive introduction to the book of Daniel in the bible

Result of this example: https://github.com/eliranwong/teamgenai/example.md

# Development Road Map

  1. Creat an initial version that support group discussion between AI agents (Done! version 0.0.1)

  2. Support backup and reuse of generated agent configurations (Done! version 0.0.1)

  3. Test all the [AI backends supported by ToolMate AI](https://github.com/eliranwong/toolmate#ai-backends-and-models) (Partially done! Tested backends: openai, github, azure)

  4. Support specifying different AI backends or models for running agent creation, assignment and responses

  5. Support customisation of core system messages that run TeamGen AI

  6. Support code generation and task execution

  7. Integrate ToolMate AI tools and plugins

  8. May remove dependency on ToolMate AI

  9. More …

Welcome further suggestions!

# Welcome Contributions

You are welcome to make contributions to this project by:

  • joining the development collaboratively

  • donations to show support and invest for the future

Support link: https://www.paypal.me/toolmate

Please kindly report of any issues at https://github.com/eliranwong/teamgenai/issues

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

teamgenai-0.0.1.tar.gz (8.5 kB view details)

Uploaded Source

Built Distribution

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

teamgenai-0.0.1-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file teamgenai-0.0.1.tar.gz.

File metadata

  • Download URL: teamgenai-0.0.1.tar.gz
  • Upload date:
  • Size: 8.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for teamgenai-0.0.1.tar.gz
Algorithm Hash digest
SHA256 83422f576e52f9ece8e61f3a3018ebe53490adb245f866ecff42de7b321a6fb7
MD5 7fc305c38cd4cf8024cd2456a5336cf0
BLAKE2b-256 3d361b2cae6daa24244bafe5b57453028862b20ae46f03635b6700839ae85248

See more details on using hashes here.

File details

Details for the file teamgenai-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: teamgenai-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for teamgenai-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 41fe41569cbc98435fd1719f091e0a9859a9b761c8cccbbbf3f93adbb478b5c1
MD5 64bae06ea70ca3ea1f379ac96cddda5b
BLAKE2b-256 962b32b6cc140a562c31946ac9d7967b4a82ac99d9622eb8f6c652a281321599

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