首先我们pip 安装一下 pip install autogenstudio 启动服务，先--help一下看看有什么选项 我是远程的机...
pip install autogenstudio 此步骤将花费几分钟时间下载并安装AutoGen Studio及其依赖项。 完成后,使用以下命令启动AutoGen Studio: autogenstudio ui --port 8081 该应用程序将在您的本地浏览器中打开,您应该会看到以下界面: 如果应用程序没有自动启动,请打开web浏览器并转到以下URL:http://127.0.0.1:8081/ 祝贺您...
Open up the AutogenEditor.exe.config file in a text editor, such as Microsoft Notepad or Visual Studio. Find the following entry and add the text in bold (note the semicolon): <setting name="ObjectsPath" serializeAs="String"> <value>%ProgramFiles%\Microsoft ESP\1.0\Scenery\Global\Scenery...
Autogenstudio Updates [Upload/Dowload of Skills/Workflows, Streaming … Mar 16, 2024 .pre-commit-config.yaml replace unofficial with official pre-commit hook for ruff (#2229) Apr 1, 2024 CITATION.cff Add examples (#851) Dec 4, 2023
pip install autogen-agentchat~=0.2 Yes, this is on theroadmap. Our current plan is to enable an implementation of AutoGen Studio on the AgentChat high level API which implements a set of agent functionalities (agents, teams, etc).
To get started with AutoGen Studio in a Conda environment, follow these steps: Create a New Conda Environment: conda create --name autogen-studiopython=3.11conda activate autogen-studio Install AutoGen Framework and AutoGen Studio: pipinstallpyautogen ...
(opens in new tab) and Youtube (opens in new tab) (opens in new tab)) suggest that AutoGen Studio is driving a new group of users who have basic technical capabilities (that is, they can install the tool) and are interested in rapidly testing ...
开发是在 Linux 环境中使用 Windows Subsystem for Linux (WSL) 和 Visual Studio Code 在 Windows 11 PC 上完成的,该 PC 配备 i9 第 13 代处理器、64 GB RAM 和 24 GB Nvidia RTX 4090。为了在开发和测试此应用程序时获得最佳体验,建议使用 Linux 发行版或 WSL。我尚未在原生 Windows 环境中对此进行测试...
conda create -n agstudioenv python=3.11.7 conda activate agstudioenv pip install autogenstudio Remember to configure OPENAI_API_KEY or your AZURE_OPENAI_API_KEY before starting export OPENAI_API_KEY='Your OpenAI Key' export AZURE_OPENAI_API_KEY='Your Azure OpenAI Servic...
开发是在一个使用 Windows Subsystem for Linux (WSL) 和 Visual Studio Code 的 Windows 11 PC 上进行的,该 PC 配备了 i9 13 代处理器、64 GB 内存和 24 GB Nvidia RTX 4090。为了获得最佳的开发和测试体验,建议使用 Linux 发行版或 WSL。我未在原生 Windows 环境下进行测试。有关安装 WSL 和设置 Python...