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CONTRIBUTORS.md
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# Contributors
## Special thanks to all the people who help this project:
> These individuals dedicate their time and expertise to improve this project. We are deeply grateful for their contributions.
| Name | GitHub Handle | Organization | Features | Roadmap Lead | Additional Information |
|---|---|---|---|---|---|
| Qingyun Wu | [qingyun-wu](https://github.com/qingyun-wu) | Penn State University | all, alt-models, autobuilder | Yes | Available most of the time (US Eastern Time) |
| Chi Wang | [sonichi](https://github.com/sonichi) | - | all | Yes | |
| Li Jiang | [thinkall](https://github.com/thinkall) | Microsoft | rag, autobuilder, group chat | Yes | [Issue #1657](https://github.com/microsoft/autogen/issues/1657) - Beijing, GMT+8 |
| Mark Sze | [marklysze](https://github.com/marklysze) | - | alt-models, group chat | No | Generally available (Sydney, AU time) - Group Chat "auto" speaker selection |
| Hrushikesh Dokala | [Hk669](https://github.com/Hk669) | - | alt-models, swebench, logging, rag | No | [Issue #2946](https://github.com/microsoft/autogen/issues/2946), [Pull Request #2933](https://github.com/microsoft/autogen/pull/2933) - Available most of the time (India, GMT+5:30) |
| Jiale Liu | [LeoLjl](https://github.com/LeoLjl) | Penn State University | autobuild, group chat | No | |
| Shaokun Zhang | [skzhang1](https://github.com/skzhang1) | Penn State University | AgentOptimizer, Teachability | Yes | [Issue #521](https://github.com/microsoft/autogen/issues/521) |
| Rajan Chari | [rajan-chari](https://github.com/rajan-chari) | Microsoft Research | CAP, Survey of other frameworks | No | |
| Victor Dibia | [victordibia](https://github.com/victordibia) | Microsoft Research | autogenstudio | Yes | [Issue #737](https://github.com/microsoft/autogen/issues/737) |
| Yixuan Zhai | [randombet](https://github.com/randombet) | Meta | group chat, sequential_chats, rag | No | |
| Xiaoyun Zhang | [LittleLittleCloud](https://github.com/LittleLittleCloud) | Microsoft | AutoGen.Net, group chat | Yes | [Backlog - AutoGen.Net](https://github.com/microsoft/autogen/issues) - Available most of the time (PST) |
| Yiran Wu | [yiranwu0](https://github.com/yiranwu0) | Penn State University | alt-models, group chat, logging | Yes | |
| Beibin Li | [BeibinLi](https://github.com/BeibinLi) | Microsoft Research | alt-models | Yes | |
| Gagan Bansal | [gagb](https://github.com/gagb) | Microsoft Research | All | | |
| Adam Fourney | [afourney](https://github.com/afourney) | Microsoft Research | Complex Tasks | | |
| Ricky Loynd | [rickyloynd-microsoft](https://github.com/rickyloynd-microsoft) | Microsoft Research | Teachability | | |
| Eric Zhu | [ekzhu](https://github.com/ekzhu) | Microsoft Research | All, Infra | | |
| Jack Gerrits | [jackgerrits](https://github.com/jackgerrits) | Microsoft Research | All, Infra | | |
| David Luong | [DavidLuong98](https://github.com/DavidLuong98) | Microsoft | AutoGen.Net | | |
| Davor Runje | [davorrunje](https://github.com/davorrunje) | airt.ai | Tool calling, IO | | Available most of the time (Central European Time) |
| Friederike Niedtner | [Friderike](https://www.microsoft.com/en-us/research/people/fniedtner/) | Microsoft Research | PM | | |
| Rafah Hosn | [Rafah](https://www.microsoft.com/en-us/research/people/raaboulh/) | Microsoft Research | PM | | |
| Robin Moeur | [Robin](https://www.linkedin.com/in/rmoeur/) | Microsoft Research | PM | | |
| Jingya Chen | [jingyachen](https://github.com/JingyaChen) | Microsoft | UX Design, AutoGen Studio | | |
| Suff Syed | [suffsyed](https://github.com/suffsyed) | Microsoft | UX Design, AutoGen Studio | | |
## I would like to join this list. How can I help the project?
> We're always looking for new contributors to join our team and help improve the project. For more information, please refer to our [CONTRIBUTING](https://microsoft.github.io/autogen/docs/contributor-guide/contributing) guide.
## Are you missing from this list?
> Please open a PR to help us fix this.
## Acknowledgements
This template was adapted from [GitHub Template Guide](https://github.com/cezaraugusto/github-template-guidelines/blob/master/.github/CONTRIBUTORS.md) by [cezaraugusto](https://github.com/cezaraugusto).

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README.md
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# AutoGen
> [!IMPORTANT]
> AutoGen 0.4 is a from-the-ground-up rewrite of AutoGen. Learn more about the history, goals and future at [this blog post](https://microsoft.github.io/autogen/blog). We’re excited to work with the community to gather feedback, refine, and improve the project before we officially release 0.4. This is a big change, so AutoGen 0.2 is still available, maintained, and developed in the [0.2 branch](https://github.com/microsoft/autogen/tree/0.2).
> [AutoGen 0.4](https://microsoft.github.io/autogen/dev) is a from-the-ground-up rewrite of AutoGen. Learn more about the history, goals and future at [this blog post](https://microsoft.github.io/autogen/blog). We’re excited to work with the community to gather feedback, refine, and improve the project before we officially release 0.4. This is a big change, so AutoGen 0.2 is still available, maintained, and developed in the [0.2 branch](https://github.com/microsoft/autogen/tree/0.2).
AutoGen is an open-source framework for building AI agent systems.
It simplifies the creation of event-driven, distributed, scalable, and resilient agentic applications.

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python/packages/autogen-agentchat/README.md
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# autogen-agentchat
# AutoGen AgentChat
- [Documentation](https://microsoft.github.io/autogen/dev/user-guide/agentchat-user-guide/index.html)
## Package structure
- `agents` are the building blocks for creating agents and built-in agents.
- `teams` are the building blocks for creating teams of agents and built-in teams, such as group chats.
- `logging` contains logging utilities.

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python/packages/autogen-agentchat/pyproject.toml
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name = "autogen-agentchat"
version = "0.4.0dev0"
license = {file = "LICENSE-CODE"}
description = "AutoGen agent and group chat library"
description = "AutoGen agents and teams library"
readme = "README.md"
requires-python = ">=3.10"
classifiers = [

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python/packages/autogen-core/README.md
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# AutoGen Core
- [Documentation](http://microsoft.github.io/autogen)
- [Examples](https://github.com/microsoft/autogen/tree/main/python/packages/autogen-core/samples)
- [Documentation](https://microsoft.github.io/autogen/dev/user-guide/core-user-guide/index.html)
## Package layering