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dotnet/website/toc.yml

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dropdown: true
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items:
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- name: Python
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href: https://ag2ai.github.io/autogen/
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href: https://docs.ag2.ai

notebook/agentchat_RetrieveChat_qdrant.ipynb

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" <br>\n",
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"</p>\n",
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"\n",
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":fire: Heads-up: We have migrated [AutoGen](https://ag2ai.github.io/autogen/) into a dedicated [github repository](https://github.com/ag2ai/ag2). Alongside this move, we have also launched a dedicated [Discord](https://discord.gg/pAbnFJrkgZ) server and a [website](https://ag2ai.github.io/autogen/) for comprehensive documentation.\n",
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":fire: Heads-up: We have migrated [AutoGen](https://docs.ag2.ai/) into a dedicated [github repository](https://github.com/ag2ai/ag2). Alongside this move, we have also launched a dedicated [Discord](https://discord.gg/pAbnFJrkgZ) server and a [website](https://docs.ag2.ai/) for comprehensive documentation.\n",
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"\n",
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":fire: The automated multi-agent chat framework in [AutoGen](https://ag2ai.github.io/autogen/) is in preview from v2.0.0.\n",
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":fire: The automated multi-agent chat framework in [AutoGen](https://docs.ag2.ai/) is in preview from v2.0.0.\n",
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"\n",
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":fire: FLAML is highlighted in OpenAI's [cookbook](https://github.com/openai/openai-cookbook#related-resources-from-around-the-web).\n",
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"\n",
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":fire: [autogen](https://ag2ai.github.io/autogen/) is released with support for ChatGPT and GPT-4, based on [Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference](https://arxiv.org/abs/2303.04673).\n",
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":fire: [autogen](https://docs.ag2.ai/) is released with support for ChatGPT and GPT-4, based on [Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference](https://arxiv.org/abs/2303.04673).\n",
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"\n",
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":fire: FLAML supports Code-First AutoML & Tuning – Private Preview in [Microsoft Fabric Data Science](https://learn.microsoft.com/en-us/fabric/data-science/).\n",
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"\n",
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"pip install flaml\n",
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"```\n",
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"\n",
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"Minimal dependencies are installed without extra options. You can install extra options based on the feature you need. For example, use the following to install the dependencies needed by the [`autogen`](https://ag2ai.github.io/autogen/) package.\n",
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"Minimal dependencies are installed without extra options. You can install extra options based on the feature you need. For example, use the following to install the dependencies needed by the [`autogen`](https://docs.ag2.ai/) package.\n",
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"\n",
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"```bash\n",
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"pip install \"flaml[autogen]\"\n",
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"\n",
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"## Quickstart\n",
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"\n",
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"- (New) The [autogen](https://ag2ai.github.io/autogen/) package enables the next-gen GPT-X applications with a generic multi-agent conversation framework.\n",
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"- (New) The [autogen](https://docs.ag2.ai/) package enables the next-gen GPT-X applications with a generic multi-agent conversation framework.\n",
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" It offers customizable and conversable agents which integrate LLMs, tools and human.\n",
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" 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,\n",
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"\n",

notebook/agentchat_microsoft_fabric.ipynb

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"### Example 2\n",
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"How to use `AssistantAgent` and `RetrieveUserProxyAgent` to do Retrieval Augmented Generation (RAG) for QA and Code Generation.\n",
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"\n",
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"Check out this [blog](https://ag2ai.github.io/autogen/blog/2023/10/18/RetrieveChat) for more details."
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"Check out this [blog](https://docs.ag2.ai/blog/2023-10-18-RetrieveChat/index) for more details."
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]
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},
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{
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"### Example 3\n",
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"How to use `MultimodalConversableAgent` to chat with images.\n",
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"\n",
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"Check out this [blog](https://ag2ai.github.io/autogen/blog/2023/11/06/LMM-Agent) for more details."
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"Check out this [blog](https://docs.ag2.ai/blog/2023-11-06-LMM-Agent/index) for more details."
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]
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},
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{

notebook/autobuild_basic.ipynb

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"source": [
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"# AutoBuild\n",
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"By: [Linxin Song](https://linxins97.github.io/), [Jieyu Zhang](https://jieyuz2.github.io/)\n",
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"Reference: [Agent AutoBuild](https://ag2ai.github.io/autogen/blog/2023/11/26/Agent-AutoBuild/)\n",
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"Reference: [Agent AutoBuild](https://docs.ag2.ai/blog/2023-11-26-Agent-AutoBuild/index)\n",
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"\n",
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"AutoGen offers conversable agents powered by LLM, tool, or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation.\n",
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"Please find documentation about this feature [here](https://docs.ag2.ai/docs/Use-Cases/agent_chat).\n",

website/docs/topics/task_decomposition.ipynb

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"metadata": {},
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"source": [
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"## Approach 3. Use AutoBuild\n",
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"[AutoBuild](https://ag2ai.github.io/autogen/blog/2023/11/26/Agent-AutoBuild) is an effective approach that generates a group of experts and use their conversation to solve a task. In AutoBuild, each expert handles a part of the task, therefore effectively and comprehensively solving it."
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"[AutoBuild](https://docs.ag2.ai/blog/2023-11-26-Agent-AutoBuild/index) is an effective approach that generates a group of experts and use their conversation to solve a task. In AutoBuild, each expert handles a part of the task, therefore effectively and comprehensively solving it."
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{

website/docusaurus.config.js

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module.exports = {
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title: "AG2",
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tagline: "The Open Source Agent OS",
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url: "https://ag2ai.github.io",
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url: "https://docs.ag2.ai",
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baseUrl: "/ag2/",
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onBrokenLinks: "throw",
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onBrokenMarkdownLinks: "warn",
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themeConfig: {
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themeConfig: {
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colorMode: {
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defaultMode: 'dark',
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defaultMode: "dark",
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},
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},
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docs: {
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items: [
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{
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label: "Dotnet",
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href: "https://ag2ai.github.io/autogen-for-net/",
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href: "https://docs.ag2.ai/autogen-for-net/",
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plugins: [
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[
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'@docusaurus/plugin-content-blog',
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"@docusaurus/plugin-content-blog",
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{
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id: 'talks',
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routeBasePath: 'talks',
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path: './talks',
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id: "talks",
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routeBasePath: "talks",
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path: "./talks",
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showReadingTime: true,
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blogSidebarCount: "ALL",
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},

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