diff --git a/README.md b/README.md index 426bd7168a00..76f469ecef5f 100644 --- a/README.md +++ b/README.md @@ -57,6 +57,11 @@ AutoGen is a framework that enables the development of LLM applications using mu AutoGen is powered by collaborative [research studies](https://microsoft.github.io/autogen/docs/Research) from Microsoft, Penn State University, and the University of Washington. +## Roadmaps + +To see what we are working on and what we plan to work on, please check our +[Roadmap Issues](https://github.com/microsoft/autogen/issues?q=is%3Aopen+is%3Aissue+label%3Aroadmap). + ## Quickstart The easiest way to start playing is 1. Click below to use the GitHub Codespace diff --git a/website/docs/Contribute.md b/website/docs/Contribute.md index b7484e648764..a6fc5b68039b 100644 --- a/website/docs/Contribute.md +++ b/website/docs/Contribute.md @@ -24,6 +24,11 @@ This project has adopted the [Microsoft Open Source Code of Conduct](https://ope For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments. +## Roadmaps + +To see what we are working on and what we plan to work on, please check our +[Roadmap Issues](https://github.com/microsoft/autogen/issues?q=is%3Aopen+is%3Aissue+label%3Aroadmap). + ## How to make a good bug report When you submit an issue to [GitHub](https://github.com/microsoft/autogen/issues), please do your best to diff --git a/website/docs/Getting-Started.mdx b/website/docs/Getting-Started.mdx index ff1207711b62..0e90a322f554 100644 --- a/website/docs/Getting-Started.mdx +++ b/website/docs/Getting-Started.mdx @@ -1,5 +1,5 @@ -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; +import Tabs from "@theme/Tabs"; +import TabItem from "@theme/TabItem"; # Getting Started @@ -13,16 +13,15 @@ tools. ### Main Features - - AutoGen enables building next-gen LLM applications based on [multi-agent conversations](/docs/Use-Cases/agent_chat) with minimal effort. It simplifies the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. - It supports [diverse conversation -patterns](/docs/Use-Cases/agent_chat#supporting-diverse-conversation-patterns) -for complex workflows. With customizable and conversable agents, developers can -use AutoGen to build a wide range of conversation patterns concerning -conversation autonomy, the number of agents, and agent conversation topology. + patterns](/docs/Use-Cases/agent_chat#supporting-diverse-conversation-patterns) + for complex workflows. With customizable and conversable agents, developers can + use AutoGen to build a wide range of conversation patterns concerning + conversation autonomy, the number of agents, and agent conversation topology. - It provides a collection of working systems with different complexities. These systems span a [wide range of applications](/docs/Use-Cases/agent_chat#diverse-applications-implemented-with-autogen) @@ -75,7 +74,6 @@ user_proxy.initiate_chat( - ```python from autogen import AssistantAgent, UserProxyAgent from autogen.coding import DockerCommandLineCodeExecutor @@ -112,9 +110,8 @@ Open `coding/plot.png` to see the generated plot. Learn more about configuring LLMs for agents [here](/docs/topics/llm_configuration). ::: - - #### Multi-Agent Conversation Framework + Autogen enables the next-gen LLM applications with a generic multi-agent conversation framework. It offers customizable and conversable agents which integrate LLMs, tools, and humans. By automating chat among multiple capable agents, one can easily make them collectively perform tasks autonomously or with human feedback, including tasks that require using tools via code. For [example](https://github.com/microsoft/autogen/blob/main/test/twoagent.py), @@ -122,17 +119,24 @@ The figure below shows an example conversation flow with AutoGen. ![Agent Chat Example](/img/chat_example.png) - ### Where to Go Next? -* Go through the [tutorial](/docs/tutorial/introduction) to learn more about the core concepts in AutoGen -* Read the examples and guides in the [notebooks section](/docs/notebooks) -* Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat) and [enhanced LLM inference](/docs/Use-Cases/enhanced_inference) -* Read the [API](/docs/reference/agentchat/conversable_agent/) docs -* Learn about [research](/docs/Research) around AutoGen -* Chat on [Discord](https://discord.gg/pAbnFJrkgZ) -* Follow on [Twitter](https://twitter.com/pyautogen) +- Go through the [tutorial](/docs/tutorial/introduction) to learn more about the core concepts in AutoGen +- Read the examples and guides in the [notebooks section](/docs/notebooks) +- Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat) and [enhanced LLM inference](/docs/Use-Cases/enhanced_inference) +- Read the [API](/docs/reference/agentchat/conversable_agent/) docs +- Learn about [research](/docs/Research) around AutoGen +- Chat on [Discord](https://discord.gg/pAbnFJrkgZ) +- Follow on [Twitter](https://twitter.com/pyautogen) +- See our [roadmaps](https://github.com/microsoft/autogen/issues?q=is%3Aopen+is%3Aissue+label%3Aroadmap) If you like our project, please give it a [star](https://github.com/microsoft/autogen/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/Contribute). - + diff --git a/website/docs/tutorial/what-next.md b/website/docs/tutorial/what-next.md index cc1fc29d9ea1..7e3820cadd41 100644 --- a/website/docs/tutorial/what-next.md +++ b/website/docs/tutorial/what-next.md @@ -36,6 +36,7 @@ our [Discord Server](https://discord.gg/pAbnFJrkgZ). ## Get Involved +- Check out [Roadmap Issues](https://github.com/microsoft/autogen/issues?q=is%3Aopen+is%3Aissue+label%3Aroadmap) to see what we are working on. - Contribute your work to our [gallery](../Gallery) - Follow our [contribution guide](../Contribute) to make a pull request to AutoGen - You can also share your work with the community on the Discord server.