From 03e109245d1ba0349c4fa0478a58603716d056d9 Mon Sep 17 00:00:00 2001 From: Chi Wang <4250911+sonichi@users.noreply.github.com> Date: Sat, 7 Dec 2024 09:23:56 -0800 Subject: [PATCH 1/7] Update index.mdx Update notebook links --- website/blog/2024-12-06-FalkorDB-Structured/index.mdx | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/website/blog/2024-12-06-FalkorDB-Structured/index.mdx b/website/blog/2024-12-06-FalkorDB-Structured/index.mdx index e2bf9bb488..85e68c26a6 100644 --- a/website/blog/2024-12-06-FalkorDB-Structured/index.mdx +++ b/website/blog/2024-12-06-FalkorDB-Structured/index.mdx @@ -194,8 +194,9 @@ See the [Swarm documentation](https://ag2ai.github.io/ag2/docs/topics/swarm#regi ## For Further Reading +* [Trip Planner Notebook Example Using GraphRag, Structured Output & Swarm](https://ag2ai.github.io/ag2/docs/notebooks/agentchat_swarm_graphrag_trip_planner/) * [Documentation about FalkorDB](https://docs.falkordb.com/) -* [FalkorDB example notebook](https://github.com/ag2ai/ag2/blob/main/notebook/agentchat_swarm_graphrag_trip_planner.ipynb) * [OpenAI's Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) +* [Structured Output Notebook Example](https://ag2ai.github.io/ag2/docs/notebooks/agentchat_structured_outputs/) *Do you have interesting use cases for FalkorDB / RAG? Would you like to see more features or improvements? Please join our [Discord](https://discord.com/invite/pAbnFJrkgZ) server for discussion.* From 2e49070b6cef11224017a0a7e1976cccc5af101c Mon Sep 17 00:00:00 2001 From: Qingyun Wu Date: Sat, 7 Dec 2024 09:29:03 -0800 Subject: [PATCH 2/7] links --- website/blog/2024-12-02-ReasoningAgent2/index.mdx | 2 +- website/blog/authors.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/blog/2024-12-02-ReasoningAgent2/index.mdx b/website/blog/2024-12-02-ReasoningAgent2/index.mdx index 55df8457f6..d7f859d82b 100644 --- a/website/blog/2024-12-02-ReasoningAgent2/index.mdx +++ b/website/blog/2024-12-02-ReasoningAgent2/index.mdx @@ -326,7 +326,7 @@ The implementation is flexible and can be customized for different types of prob ## For Further Reading * [Documentation about ReasoningAgent](/docs/reference/agentchat/contrib/reasoning_agent) -* [Example notebook](https://github.com/ag2ai/ag2/blob/main/notebook/agentchat_reasoning_agent.ipynb) +* [Example notebook](https://ag2ai.github.io/ag2/docs/notebooks/agentchat_reasoning_agent/) * [The Original research paper about Tree of Thoughts](https://arxiv.org/abs/2305.10601) from Google DeepMind and Princeton University. *Do you have interesting use cases for ReasoningAgent? Would you like to see more features or improvements? Please join our [Discord](https://discord.com/invite/pAbnFJrkgZ) server for discussion.* diff --git a/website/blog/authors.yml b/website/blog/authors.yml index e5293c5c31..f93f3aee16 100644 --- a/website/blog/authors.yml +++ b/website/blog/authors.yml @@ -1,6 +1,6 @@ sonichi: name: Chi Wang - title: Founder of AutoGen & FLAML + title: Founder of AutoGen (now AG2) & FLAML url: https://www.linkedin.com/in/chi-wang-autogen/ image_url: https://github.com/sonichi.png From ca72377f716f07eccf443575bce8952e55d1e0ad Mon Sep 17 00:00:00 2001 From: Qingyun Wu Date: Sat, 7 Dec 2024 10:26:39 -0800 Subject: [PATCH 3/7] update --- website/blog/2024-11-15-CaptainAgent/index.mdx | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/website/blog/2024-11-15-CaptainAgent/index.mdx b/website/blog/2024-11-15-CaptainAgent/index.mdx index 0e20b1c1d5..25251b6608 100644 --- a/website/blog/2024-11-15-CaptainAgent/index.mdx +++ b/website/blog/2024-11-15-CaptainAgent/index.mdx @@ -91,9 +91,13 @@ result = user_proxy.initiate_chat(captain_agent, message=query) ``` # Further Reading -For a detailed description of how to configure the CaptainAgent, please refer to the [document](https://ag2ai.github.io/ag2/docs/topics/captainagent/agent_library). +For a detailed description of how to configure the CaptainAgent, please refer to +- [document](https://ag2ai.github.io/ag2/docs/topics/captainagent/agent_library). +- [Notebook example](https://ag2ai.github.io/ag2/docs/notebooks/agentchat_captainagent/) + +Please also refer to our [paper](https://arxiv.org/pdf/2405.19425) for more details about CaptainAgent and the proposed new team-building paradigm: adaptive build. + -Please refer to our [paper](https://arxiv.org/pdf/2405.19425) for more details about CaptainAgent and the proposed new team-building paradigm: adaptive build. If you find this blog useful, please consider citing: ``` From 68ee520d26fe485a5bb31da2960e819d42317985 Mon Sep 17 00:00:00 2001 From: skzhang1 Date: Sat, 7 Dec 2024 18:23:58 -0500 Subject: [PATCH 4/7] first --- website/blog/2023-04-21-LLM-tuning-math/index.md | 2 +- website/blog/2023-05-18-GPT-adaptive-humaneval/index.mdx | 2 +- website/blog/2023-06-28-MathChat/index.mdx | 2 +- website/blog/2023-10-26-TeachableAgent/index.mdx | 2 +- website/blog/2023-11-13-OAI-assistants/index.mdx | 2 +- website/blog/2023-11-20-AgentEval/index.mdx | 4 ++-- website/blog/2023-12-01-AutoGenStudio/index.mdx | 2 +- website/blog/2024-01-25-AutoGenBench/index.mdx | 2 +- website/blog/2024-03-03-AutoGen-Update/index.mdx | 6 +++--- website/docs/Getting-Started.mdx | 4 ++-- 10 files changed, 14 insertions(+), 14 deletions(-) diff --git a/website/blog/2023-04-21-LLM-tuning-math/index.md b/website/blog/2023-04-21-LLM-tuning-math/index.md index a8eeb25382..a5378af6cf 100644 --- a/website/blog/2023-04-21-LLM-tuning-math/index.md +++ b/website/blog/2023-04-21-LLM-tuning-math/index.md @@ -71,4 +71,4 @@ The need for model selection, parameter tuning and cost saving is not specific t * [Research paper about the tuning technique](https://arxiv.org/abs/2303.04673) * [Documentation about inference tuning](/docs/Use-Cases/enhanced_inference) -*Do you have any experience to share about LLM applications? Do you like to see more support or research of LLM optimization or automation? Please join our [Discord](https://aka.ms/autogen-dc) server for discussion.* +*Do you have any experience to share about LLM applications? Do you like to see more support or research of LLM optimization or automation? Please join our [Discord](https://discord.gg/pAbnFJrkgZ) server for discussion.* diff --git a/website/blog/2023-05-18-GPT-adaptive-humaneval/index.mdx b/website/blog/2023-05-18-GPT-adaptive-humaneval/index.mdx index 3a4acf5113..b8f776dc44 100644 --- a/website/blog/2023-05-18-GPT-adaptive-humaneval/index.mdx +++ b/website/blog/2023-05-18-GPT-adaptive-humaneval/index.mdx @@ -170,7 +170,7 @@ There are many directions of extensions in research and development: - Automate the process of optimizing the configurations. - Build adaptive agents for different applications. -_Do you find this approach applicable to your use case? Do you have any other challenge to share about LLM applications? Do you like to see more support or research of LLM optimization or automation? Please join our [Discord](https://aka.ms/autogen-dc) server for discussion._ +_Do you find this approach applicable to your use case? Do you have any other challenge to share about LLM applications? Do you like to see more support or research of LLM optimization or automation? Please join our [Discord](https://discord.gg/pAbnFJrkgZ) server for discussion._ ## For Further Reading diff --git a/website/blog/2023-06-28-MathChat/index.mdx b/website/blog/2023-06-28-MathChat/index.mdx index be2423de9e..96807cbfb6 100644 --- a/website/blog/2023-06-28-MathChat/index.mdx +++ b/website/blog/2023-06-28-MathChat/index.mdx @@ -93,4 +93,4 @@ Further work can be done to enhance this framework or math problem-solving in ge - [Research paper of MathChat](https://arxiv.org/abs/2306.01337) - [Documentation about `autogen`](/docs/Getting-Started) -_Are you working on applications that involve math problem-solving? Would you appreciate additional research or support on the application of LLM-based agents for math problem-solving? Please join our [Discord](https://aka.ms/autogen-dc) server for discussion._ +_Are you working on applications that involve math problem-solving? Would you appreciate additional research or support on the application of LLM-based agents for math problem-solving? Please join our [Discord](https://discord.gg/pAbnFJrkgZ) server for discussion._ diff --git a/website/blog/2023-10-26-TeachableAgent/index.mdx b/website/blog/2023-10-26-TeachableAgent/index.mdx index 6b82dc495e..fbc7e0b332 100644 --- a/website/blog/2023-10-26-TeachableAgent/index.mdx +++ b/website/blog/2023-10-26-TeachableAgent/index.mdx @@ -394,4 +394,4 @@ The solution is: 8 * 3 + 7 * 5 ## Conclusion -`Teachability` is still under active research and development. For any problems you find or improvements you have in mind, please join our discussions in this repo and on our [Discord channel](https://aka.ms/autogen-dc). We look forward to seeing how you and the rest of the community can use and improve teachable agents in AutoGen! +`Teachability` is still under active research and development. For any problems you find or improvements you have in mind, please join our discussions in this repo and on our [Discord channel](https://discord.gg/pAbnFJrkgZ). We look forward to seeing how you and the rest of the community can use and improve teachable agents in AutoGen! diff --git a/website/blog/2023-11-13-OAI-assistants/index.mdx b/website/blog/2023-11-13-OAI-assistants/index.mdx index 32027eb786..6b9c2a900b 100644 --- a/website/blog/2023-11-13-OAI-assistants/index.mdx +++ b/website/blog/2023-11-13-OAI-assistants/index.mdx @@ -21,7 +21,7 @@ Checkout example notebooks for reference: Earlier last week, OpenAI introduced [GPTs](https://openai.com/blog/introducing-gpts), giving users ability to create custom ChatGPTs tailored for them. *But what if these individual GPTs could collaborate to do even more?* Fortunately, because of AutoGen, this is now a reality! -AutoGen has been pioneering agents and supporting [multi-agent workflows](https://aka.ms/autogen-pdf) since earlier this year, and now (starting with version 0.2.0b5) we are introducing compatibility with the [Assistant API](https://openai.com/blog/introducing-gpts), which is currently in beta preview. +AutoGen has been pioneering agents and supporting [multi-agent workflows](https://openreview.net/pdf?id=BAakY1hNKS) since earlier this year, and now (starting with version 0.2.0b5) we are introducing compatibility with the [Assistant API](https://openai.com/blog/introducing-gpts), which is currently in beta preview. To accomplish this, we've added a new (experimental) agent called the `GPTAssistantAgent` that lets you seamlessly add these new OpenAI assistants into AutoGen-based multi-agent workflows. diff --git a/website/blog/2023-11-20-AgentEval/index.mdx b/website/blog/2023-11-20-AgentEval/index.mdx index 4f0e5c9727..5b6778acb3 100644 --- a/website/blog/2023-11-20-AgentEval/index.mdx +++ b/website/blog/2023-11-20-AgentEval/index.mdx @@ -14,7 +14,7 @@ tags: [LLM, GPT, evaluation, task utility] **TL;DR:** * As a developer of an LLM-powered application, how can you assess the utility it brings to end users while helping them with their tasks? * To shed light on the question above, we introduce `AgentEval` — the first version of the framework to assess the utility of any LLM-powered application crafted to assist users in specific tasks. AgentEval aims to simplify the evaluation process by automatically proposing a set of criteria tailored to the unique purpose of your application. This allows for a comprehensive assessment, quantifying the utility of your application against the suggested criteria. -* We demonstrate how `AgentEval` work using [math problems dataset](https://ag2ai.github.io/ag2/blog/2023/06/28/MathChat) as an example in the [following notebook](https://github.com/ag2ai/ag2/blob/main/notebook/agenteval_cq_math.ipynb). Any feedback would be useful for future development. Please contact us on our [Discord](http://aka.ms/autogen-dc). +* We demonstrate how `AgentEval` work using [math problems dataset](https://ag2ai.github.io/ag2/blog/2023/06/28/MathChat) as an example in the [following notebook](https://github.com/ag2ai/ag2/blob/main/notebook/agenteval_cq_math.ipynb). Any feedback would be useful for future development. Please contact us on our [Discord](https://discord.gg/pAbnFJrkgZ). ## Introduction @@ -110,7 +110,7 @@ To mitigate the limitations mentioned above, we are working on VerifierAgent, wh ## Summary `CriticAgent` and `QuantifierAgent` can be applied to the logs of any type of application, providing you with an in-depth understanding of the utility your solution brings to the user for a given task. -We would love to hear about how AgentEval works for your application. Any feedback would be useful for future development. Please contact us on our [Discord](http://aka.ms/autogen-dc). +We would love to hear about how AgentEval works for your application. Any feedback would be useful for future development. Please contact us on our [Discord](https://discord.gg/pAbnFJrkgZ). ## Previous Research diff --git a/website/blog/2023-12-01-AutoGenStudio/index.mdx b/website/blog/2023-12-01-AutoGenStudio/index.mdx index da74e6c947..4daa9795df 100644 --- a/website/blog/2023-12-01-AutoGenStudio/index.mdx +++ b/website/blog/2023-12-01-AutoGenStudio/index.mdx @@ -219,7 +219,7 @@ A: To reset your conversation history, you can delete the `database.sqlite` file A: Yes, you can view the generated messages in the debug console of the web UI, providing insights into the agent interactions. Alternatively, you can inspect the `database.sqlite` file for a comprehensive record of messages. **Q: Where can I find documentation and support for AutoGen Studio?** -A: We are constantly working to improve AutoGen Studio. For the latest updates, please refer to the [AutoGen Studio Readme](https://github.com/ag2ai/build-with-ag2/blob/main/samples/apps/autogen-studio). For additional support, please open an issue on [GitHub](https://github.com/ag2ai/ag2) or ask questions on [Discord](https://aka.ms/autogen-dc). +A: We are constantly working to improve AutoGen Studio. For the latest updates, please refer to the [AutoGen Studio Readme](https://github.com/ag2ai/build-with-ag2/blob/main/samples/apps/autogen-studio). For additional support, please open an issue on [GitHub](https://github.com/ag2ai/ag2) or ask questions on [Discord](https://discord.gg/pAbnFJrkgZ). **Q: Can I use Other Models with AutoGen Studio?** Yes. AutoGen standardizes on the openai model api format, and you can use any api server that offers an openai compliant endpoint. In the AutoGen Studio UI, each agent has an `llm_config` field where you can input your model endpoint details including `model name`, `api key`, `base url`, `model type` and `api version`. For Azure OpenAI models, you can find these details in the Azure portal. Note that for Azure OpenAI, the `model name` is the deployment id or engine, and the `model type` is "azure". diff --git a/website/blog/2024-01-25-AutoGenBench/index.mdx b/website/blog/2024-01-25-AutoGenBench/index.mdx index d2a4e8b541..43fe7d673d 100644 --- a/website/blog/2024-01-25-AutoGenBench/index.mdx +++ b/website/blog/2024-01-25-AutoGenBench/index.mdx @@ -145,4 +145,4 @@ For an up to date tracking of our work items on this project, please see [AutoGe ## Call for Participation -Finally, we want to end this blog post with an open call for contributions. AutoGenBench is still nascent, and has much opportunity for improvement. New benchmarks are constantly being published, and will need to be added. Everyone may have their own distinct set of metrics that they care most about optimizing, and these metrics should be onboarded. To this end, we welcome any and all contributions to this corner of the AutoGen project. If contributing is something that interests you, please see the [contributor’s guide](https://github.com/ag2ai/build-with-ag2/blob/main/samples/tools/autogenbench/CONTRIBUTING.md) and join our [Discord](https://aka.ms/autogen-dc) discussion in the [#autogenbench](https://discord.com/channels/1153072414184452236/1199851779328847902) channel! +Finally, we want to end this blog post with an open call for contributions. AutoGenBench is still nascent, and has much opportunity for improvement. New benchmarks are constantly being published, and will need to be added. Everyone may have their own distinct set of metrics that they care most about optimizing, and these metrics should be onboarded. To this end, we welcome any and all contributions to this corner of the AutoGen project. If contributing is something that interests you, please see the [contributor’s guide](https://github.com/ag2ai/build-with-ag2/blob/main/samples/tools/autogenbench/CONTRIBUTING.md) and join our [Discord](https://discord.gg/pAbnFJrkgZ) discussion in the [#autogenbench](https://discord.com/channels/1153072414184452236/1199851779328847902) channel! diff --git a/website/blog/2024-03-03-AutoGen-Update/index.mdx b/website/blog/2024-03-03-AutoGen-Update/index.mdx index 80af9db237..d8dc0eefcd 100644 --- a/website/blog/2024-03-03-AutoGen-Update/index.mdx +++ b/website/blog/2024-03-03-AutoGen-Update/index.mdx @@ -96,8 +96,8 @@ AutoGen is used or contributed by companies, organizations, universities from A AutoGen has a large and active community of developers, researchers and AI practitioners. -- 22K+ stars on [GitHub](https://aka.ms/autogen-gh), 3K+ forks -- 14K+ members on [Discord](https://aka.ms/autogen-dc) +- 22K+ stars on [GitHub](https://github.com/ag2ai/ag2), 3K+ forks +- 14K+ members on [Discord](https://discord.gg/pAbnFJrkgZ) - 100K+ downloads per months - 3M+ views on Youtube (400+ community-generated videos) - 100+ citations on [Google Scholar](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=IiSNwnAAAAAJ&citation_for_view=IiSNwnAAAAAJ:zCpYd49hD24C) @@ -184,6 +184,6 @@ Despite all the exciting progress, there are tons of open problems, issues and f We need more help to tackle the challenging problems and accelerate the development. You're all welcome to join our community and define the future of AI agents together. -_Do you find this update helpful? Would you like to join force? Please join our [Discord](https://aka.ms/autogen-dc) server for discussion._ +_Do you find this update helpful? Would you like to join force? Please join our [Discord](https://discord.gg/pAbnFJrkgZ) server for discussion._ ![contributors](img/contributors.png) diff --git a/website/docs/Getting-Started.mdx b/website/docs/Getting-Started.mdx index a3ad36956c..bdc60b70c7 100644 --- a/website/docs/Getting-Started.mdx +++ b/website/docs/Getting-Started.mdx @@ -134,9 +134,9 @@ The figure below shows an example conversation flow with AutoGen. - 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://aka.ms/autogen-dc) +- Chat on [Discord](https://discord.gg/pAbnFJrkgZ) - Follow on [Twitter](https://twitter.com/Chi_Wang_) -- See our [roadmaps](https://aka.ms/autogen-roadmap) +- See our [roadmaps](https://github.com/ag2ai/ag2/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap) If you like our project, please give it a [star](https://github.com/ag2ai/ag2/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/contributor-guide/contributing). From 1643259c6fd2ad84c2bd7025b5ab87747536d8fe Mon Sep 17 00:00:00 2001 From: skzhang1 Date: Sat, 7 Dec 2024 18:28:19 -0500 Subject: [PATCH 5/7] update --- website/docs/Getting-Started.mdx | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/website/docs/Getting-Started.mdx b/website/docs/Getting-Started.mdx index bdc60b70c7..df91f35881 100644 --- a/website/docs/Getting-Started.mdx +++ b/website/docs/Getting-Started.mdx @@ -3,33 +3,33 @@ import TabItem from "@theme/TabItem"; # Getting Started -AutoGen is an open-source programming framework for building AI agents and facilitating -cooperation among multiple agents to solve tasks. AutoGen aims to provide an easy-to-use +AG2 (formerly AutoGen) is an open-source programming framework for building AI agents and facilitating +cooperation among multiple agents to solve tasks. AG2 aims to provide an easy-to-use and flexible framework for accelerating development and research on agentic AI, like PyTorch for Deep Learning. It offers features such as agents that can converse with other agents, LLM and tool use support, autonomous and human-in-the-loop workflows, and multi-agent conversation patterns. -![AutoGen Overview](/img/autogen_agentchat.png) +![AG2 Overview](/img/autogen_agentchat.png) ### Main Features -- AutoGen enables building next-gen LLM applications based on [multi-agent +- AG2 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 + use AG2 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) - from various domains and complexities. This demonstrates how AutoGen can + from various domains and complexities. This demonstrates how AG2 can easily support diverse conversation patterns. -AutoGen is powered by collaborative [research studies](/docs/Research) from +AG2 is powered by collaborative [research studies](/docs/Research) from Microsoft, Penn State University, and University of Washington. ### Quickstart @@ -120,20 +120,20 @@ Learn more about configuring LLMs for agents [here](/docs/topics/llm_configurati #### 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. +AG2 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/ag2ai/ag2/blob/main/test/twoagent.py), -The figure below shows an example conversation flow with AutoGen. +The figure below shows an example conversation flow with AG2. ![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 +- Go through the [tutorial](/docs/tutorial/introduction) to learn more about the core concepts in AG2 - 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 +- Learn about [research](/docs/Research) around AG2 - Chat on [Discord](https://discord.gg/pAbnFJrkgZ) - Follow on [Twitter](https://twitter.com/Chi_Wang_) - See our [roadmaps](https://github.com/ag2ai/ag2/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap) From e72a8b85617a582ee7e45697793e56283d33205b Mon Sep 17 00:00:00 2001 From: skzhang1 Date: Sat, 7 Dec 2024 18:38:59 -0500 Subject: [PATCH 6/7] update --- website/docs/contributor-guide/docker.md | 2 +- website/docs/installation/Installation.mdx | 6 +++--- website/docs/installation/Optional-Dependencies.md | 6 +++--- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/website/docs/contributor-guide/docker.md b/website/docs/contributor-guide/docker.md index f71bc68eb4..d7510446ab 100644 --- a/website/docs/contributor-guide/docker.md +++ b/website/docs/contributor-guide/docker.md @@ -48,4 +48,4 @@ docker run -it -p 8081:3000 -v /home/AutoGenDeveloper/autogen-newcode:newstuff/ ## Develop in Remote Container If you use vscode, you can open the ag2 folder in a [Container](https://code.visualstudio.com/docs/remote/containers). -We have provided the configuration in [devcontainer](https://github.com/ag2ai/ag2/blob/main/.devcontainer). They can be used in GitHub codespace too. Developing AutoGen in dev containers is recommended. +We have provided the configuration in [devcontainer](https://github.com/ag2ai/ag2/blob/main/.devcontainer). They can be used in GitHub codespace too. Developing AG2 in dev containers is recommended. diff --git a/website/docs/installation/Installation.mdx b/website/docs/installation/Installation.mdx index a74100fcd1..7696be145b 100644 --- a/website/docs/installation/Installation.mdx +++ b/website/docs/installation/Installation.mdx @@ -5,7 +5,7 @@ import TabItem from '@theme/TabItem'; ## Create a virtual environment (optional) -When installing AutoGen locally, we recommend using a virtual environment for the installation. This will ensure that the dependencies for AutoGen are isolated from the rest of your system. +When installing AG2 locally, we recommend using a virtual environment for the installation. This will ensure that the dependencies for AG2 are isolated from the rest of your system. @@ -64,9 +64,9 @@ When installing AutoGen locally, we recommend using a virtual environment for th -## Install AutoGen +## Install AG2 -AutoGen requires **Python version >= 3.8, < 3.14**. It can be installed from pip: +AG2 requires **Python version >= 3.8, < 3.14**. It can be installed from pip: ```bash pip install autogen diff --git a/website/docs/installation/Optional-Dependencies.md b/website/docs/installation/Optional-Dependencies.md index d4d18ebac4..f89839b18d 100644 --- a/website/docs/installation/Optional-Dependencies.md +++ b/website/docs/installation/Optional-Dependencies.md @@ -2,7 +2,7 @@ ## Different LLMs -AutoGen installs OpenAI package by default. To use LLMs by other providers, you can install the following packages: +AG2 installs OpenAI package by default. To use LLMs by other providers, you can install the following packages: ```bash pip install autogen[gemini,anthropic,mistral,together,groq,cohere] @@ -86,7 +86,7 @@ Example notebooks: ## Teachability -To use Teachability, please install AutoGen with the [teachable] option. +To use Teachability, please install AG2 with the [teachable] option. ```bash pip install "autogen[teachable]" @@ -126,7 +126,7 @@ Example notebook: [Finite State Machine graphs to set speaker transition constra ## Long Context Handling -AutoGen includes support for handling long textual contexts by leveraging the LLMLingua library for text compression. To enable this functionality, please install AutoGen with the `[long-context]` option: +AG2 includes support for handling long textual contexts by leveraging the LLMLingua library for text compression. To enable this functionality, please install AutoGen with the `[long-context]` option: ```bash pip install "autogen[long-context]" From 9fb8d68deb38986f590a49eac914ea32ba551ea4 Mon Sep 17 00:00:00 2001 From: skzhang1 Date: Sat, 7 Dec 2024 18:41:34 -0500 Subject: [PATCH 7/7] update --- website/docs/Getting-Started.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/Getting-Started.mdx b/website/docs/Getting-Started.mdx index df91f35881..4a75431597 100644 --- a/website/docs/Getting-Started.mdx +++ b/website/docs/Getting-Started.mdx @@ -138,7 +138,7 @@ The figure below shows an example conversation flow with AG2. - Follow on [Twitter](https://twitter.com/Chi_Wang_) - See our [roadmaps](https://github.com/ag2ai/ag2/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap) -If you like our project, please give it a [star](https://github.com/ag2ai/ag2/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/contributor-guide/contributing). +If you like our project, please give it a [star](https://github.com/ag2ai/ag2) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/contributor-guide/contributing).