wangtao
/
autogen
Not watched
1
0
Fork 0
Code
Releases 127 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
3576 Commits
199 Branches
282 MB
18 Download
 
 
 
 
 
 
Tree: f059262b6d
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'f059262b6d'
${ noResults }
autogen/python/packages/autogen-agentchat
EeS a283d268df
TEST/change gpt4, gpt4o serise to gpt4.1nano (#6375) 		1 year ago
..
src/autogen_agentchat Add self-debugging loop to `CodeExecutionAgent` (#6306) 1 year ago
tests TEST/change gpt4, gpt4o serise to gpt4.1nano (#6375) 1 year ago
LICENSE-CODE Include license file in package (#3703) 1 year ago
README.md Make package readmes slightly less empty (#4961) 1 year ago
pyproject.toml Update version 0.5.4 (#6334) 1 year ago

README.md

AutoGen AgentChat

AgentChat is a high-level API for building multi-agent applications.
It is built on top of the autogen-core package.
For beginner users, AgentChat is the recommended starting point.
For advanced users, autogen-core's event-driven
programming model provides more flexibility and control over the underlying components.

AgentChat provides intuitive defaults, such as Agents with preset
behaviors and Teams with predefined multi-agent design patterns.

Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

Python SVG Jupyter Notebook C# TSX other