mirror of https://github.com/microsoft/autogen.git synced 2025-07-13 03:50:51 +00:00

History

afourney ca42b560e9 Initial work porting AutoGenBench to AGNext (#141 )

* Initial check-in of agbench

* Moved agbench to intended directory.

* Removed pyautogen dependency

* moved to using process_until_idle

* Added TeamOne template.

* User TeamOne agent classes.

* migrate to hatch, move benchmarks out, add CI (#166)

* Resolve type issues (#168)

Thanks for fixing types.

* Fixed import.

---------

Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>

2024-07-02 10:58:49 -07:00

.vscode

Initial cross-language protocol for agents (#139 )

2024-06-28 08:03:42 -07:00

benchmarks/HumanEval

Initial work porting AutoGenBench to AGNext (#141 )

2024-07-02 10:58:49 -07:00

docs/src

Update send_message to be a single async operation. Add start helper to runtime to manage this (#165 )

2024-07-01 11:53:45 -04:00

examples

Update send_message to be a single async operation. Add start helper to runtime to manage this (#165 )

2024-07-01 11:53:45 -04:00

src/agnext

Update send_message to be a single async operation. Add start helper to runtime to manage this (#165 )

2024-07-01 11:53:45 -04:00

teams/team-one

Update send_message to be a single async operation. Add start helper to runtime to manage this (#165 )

2024-07-01 11:53:45 -04:00

tests

Update send_message to be a single async operation. Add start helper to runtime to manage this (#165 )

2024-07-01 11:53:45 -04:00

tools/agbench

Initial work porting AutoGenBench to AGNext (#141 )

2024-07-02 10:58:49 -07:00

.gitignore

Initial cross-language protocol for agents (#139 )

2024-06-28 08:03:42 -07:00

pyproject.toml

Initial work porting AutoGenBench to AGNext (#141 )

2024-07-02 10:58:49 -07:00

README.md

Update Docs; Update examples to allow Azure OpenAI setup (#154 )

2024-06-28 23:15:46 -07:00

worker_example.py

Initial cross-language protocol for agents (#139 )

2024-06-28 08:03:42 -07:00

README.md

AGNext

Package layering

core are the the foundational generic interfaces upon which all else is built. This module must not depend on any other module.
application are implementations of core components that are used to compose an application.
components are the building blocks for creating agents.

Development

TL;DR, run all checks with:

hatch run check

Setup

Install hatch.

Virtual environment

To get a shell with the package available (virtual environment), in the current directory, run:

hatch shell

Common tasks

Format: hatch run check
Lint: hatch run lint
Test: hatch run pytest -n auto
Mypy: hatch run mypy
Pyright: hatch run pyright
Build docs: hatch run docs:build
Auto rebuild+serve docs: hatch run docs:serve

Note

These don't need to be run in a virtual environment, hatch will automatically manage it for you.