# 配置Auto-GPT

## 🚀 特征

- 🌐 用于搜索和信息收集的互联网接入
- 💾 长期和短期记忆管理
- 🧠 用于文本生成的 GPT-4 实例
- 🔗 访问热门网站和平台
- 🗃️ 使用 GPT-3.5 进行文件存储和摘要

## 📋 环境要求

- 环境（选择其中之一）
  - [VSCode + devcontainer](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers): 已在 .devcontainer 文件夹中配置，可直接使用
  - Docker
  - Python 3.10 或更高版本 (instructions: [for Windows](https://www.tutorialspoint.com/how-to-install-python-in-windows))
- [OpenAI API key](https://platform.openai.com/account/api-keys)

### 可选

- Memory backend (选择其中之一)
  - [Pinecone](https://www.pinecone.io/)
  - [Milvus](https://milvus.io/)
  - [Redis](https://redis.io)
  - [Weaviate](https://weaviate.io)
- ElevenLabs Key (如果你想AI说话)

## ⚠️ 配置 OpenAI API Keys ⚠️

从以下位置获取您的 OpenAI API 密钥: https://platform.openai.com/account/api-keys.

要将 OpenAI API 密钥用于自动 GPT，**您需要设置**结算信息（又名付费帐户）。

您可以在 https://platform.openai.com/account/billing/overview 设置付费帐户。

重要提示: 强烈建议您在 [使用情况](https://platform.openai.com/account/usage)页面上跟踪使用情况。
您还可以在 [使用情况限制](https://platform.openai.com/account/billing/limits)页面上设置支出限制。

### **在继续之前，请确保您已完成此步骤。否则，什么都行不通！**

## 💾 安装

要安装自动 GPT，请按照以下步骤操作：

1. 确保您满足上面列出的所有**环境要求**。如果没有，请安装/获取它们。

    _若要执行以下命令，请导航到计算机上的文件夹并在顶部的文件夹路径中键入 `CMD`， 然后按 Enter 键，从而打开 CMD、Bash 或 Powershell 窗口。_

2. 克隆存储库：对于此步骤，您需要安装 Git。 注意：如果您没有 Git，只需下载 [最新的稳定版本](https://github.com/Significant-Gravitas/Auto-GPT/releases/latest) 或者在页面底部 (`Source code (zip)`)。

    ```bash
    git clone -b stable https://github.com/Significant-Gravitas/Auto-GPT.git
    ```

3. 进入下载存储库的目录。

    ```bash
    cd Auto-GPT
    ```

4. 安装所需的依赖项。

    ```bash
    pip install -r requirements.txt
    ```

输出以下内容：

```
Collecting en_core_web_sm@ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.0/en_core_web_sm-3.4.0-py3-none-any.whl
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  Using cached MarkupSafe-2.1.2-cp311-cp311-win_amd64.whl (16 kB)
Collecting pycparser
  Using cached pycparser-2.21-py2.py3-none-any.whl (118 kB)
Collecting pyasn1<0.6.0,>=0.4.6
  Downloading pyasn1-0.5.0-py2.py3-none-any.whl (83 kB)
     ---------------------------------------- 83.9/83.9 kB 4.6 MB/s eta 0:00:00
Collecting h11<1,>=0.9.0
  Downloading h11-0.14.0-py3-none-any.whl (58 kB)
     ---------------------------------------- 58.3/58.3 kB 3.0 MB/s eta 0:00:00
Installing collected packages: wasabi, sortedcontainers, pywin32, py-cpuinfo, playsound, distlib, cymem, win32-setctime, websocket-client, urllib3, uritemplate, typing-extensions, spacy-loggers, spacy-legacy, soupsieve, sniffio, smmap, smart-open, six, regex, pyyaml, python-dotenv, pytest-integration, PySocks, pyrsistent, pyparsing, pyflakes, pycparser, pycodestyle, pyasn1, protobuf, pluggy, platformdirs, Pillow, pathspec, packaging, orjson, oauthlib, numpy, nodeenv, mypy-extensions, murmurhash, multidict, mccabe, MarkupSafe, lxml, langcodes, isort, iniconfig, idna, identify, h11, frozenlist, filelock, exceptiongroup, dnspython, cssselect, coverage, colorama, charset-normalizer, chardet, cfgv, certifi, catalogue, cachetools, attrs, asynctest, async-timeout, async-generator, yarl, wsproto, virtualenv, tqdm, srsly, rsa, requests, redis, readability-lxml, python-dateutil, pytest, pydantic, pyasn1-modules, preshed, outcome, loguru, jsonschema, jinja2, httplib2, googleapis-common-protos, gitdb, flake8, click, cffi, blis, beautifulsoup4, aiosignal, webdriver-manager, typer, trio, tiktoken, requests-oauthlib, pytest-mock, pytest-cov, pytest-benchmark, pytest-asyncio, pre-commit, pinecone-client, gTTS, google-auth, gitpython, duckduckgo-search, docker, confection, black, aiohttp, tweepy, trio-websocket, thinc, pathy, openai, google-auth-httplib2, google-api-core, spacy, selenium, google-api-python-client, en_core_web_sm
Successfully installed MarkupSafe-2.1.2 Pillow-9.5.0 PySocks-1.7.1 aiohttp-3.8.4 aiosignal-1.3.1 async-generator-1.10 async-timeout-4.0.2 asynctest-0.13.0 attrs-23.1.0 beautifulsoup4-4.12.2 black-23.3.0 blis-0.7.9 cachetools-5.3.0 catalogue-2.0.8 certifi-2022.12.7 cffi-1.15.1 cfgv-3.3.1 chardet-5.1.0 charset-normalizer-3.1.0 click-8.1.3 colorama-0.4.6 confection-0.0.4 coverage-7.2.3 cssselect-1.2.0 cymem-2.0.7 distlib-0.3.6 dnspython-2.3.0 docker-6.0.1 duckduckgo-search-2.8.6 en_core_web_sm-3.4.0 exceptiongroup-1.1.1 filelock-3.12.0 flake8-6.0.0 frozenlist-1.3.3 gTTS-2.3.1 gitdb-4.0.10 gitpython-3.1.31 google-api-core-2.11.0 google-api-python-client-2.86.0 google-auth-2.17.3 google-auth-httplib2-0.1.0 googleapis-common-protos-1.59.0 h11-0.14.0 httplib2-0.22.0 identify-2.5.22 idna-3.4 iniconfig-2.0.0 isort-5.12.0 jinja2-3.1.2 jsonschema-4.17.3 langcodes-3.3.0 loguru-0.7.0 lxml-4.9.2 mccabe-0.7.0 multidict-6.0.4 murmurhash-1.0.9 mypy-extensions-1.0.0 nodeenv-1.7.0 numpy-1.24.2 oauthlib-3.2.2 openai-0.27.2 orjson-3.8.10 outcome-1.2.0 packaging-23.1 pathspec-0.11.1 pathy-0.10.1 pinecone-client-2.2.1 platformdirs-3.2.0 playsound-1.2.2 pluggy-1.0.0 pre-commit-3.2.2 preshed-3.0.8 protobuf-4.22.3 py-cpuinfo-9.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycodestyle-2.10.0 pycparser-2.21 pydantic-1.10.7 pyflakes-3.0.1 pyparsing-3.0.9 pyrsistent-0.19.3 pytest-7.3.1 pytest-asyncio-0.21.0 pytest-benchmark-4.0.0 pytest-cov-4.0.0 pytest-integration-0.2.3 pytest-mock-3.10.0 python-dateutil-2.8.2 python-dotenv-1.0.0 pywin32-306 pyyaml-6.0 readability-lxml-0.8.1 redis-4.5.4 regex-2023.3.23 requests-2.28.2 requests-oauthlib-1.3.1 rsa-4.9 selenium-4.9.0 six-1.16.0 smart-open-6.3.0 smmap-5.0.0 sniffio-1.3.0 sortedcontainers-2.4.0 soupsieve-2.4.1 spacy-3.4.4 spacy-legacy-3.0.12 spacy-loggers-1.0.4 srsly-2.4.6 thinc-8.1.9 tiktoken-0.3.3 tqdm-4.65.0 trio-0.22.0 trio-websocket-0.10.2 tweepy-4.13.0 typer-0.7.0 typing-extensions-4.5.0 uritemplate-4.1.1 urllib3-1.26.15 virtualenv-20.22.0 wasabi-0.10.1 webdriver-manager-3.8.6 websocket-client-1.5.1 win32-setctime-1.1.0 wsproto-1.2.0 yarl-1.9.1
```

没有错误即表明所有库安装成功。

5. 配置 Auto-GPT:
   i. 找到文件名为 `.env.template` 的文件在主文件夹中 /Auto-GPT 。 这个文件可能会因为前缀是点符号而在某些操作系统中默认隐藏起来。若要显示隐藏的文件，请按照您特定操作系统的指示进行操作（例如，在Windows中，单击“文件资源管理器”中的“查看”选项卡并勾选“隐藏项目”框；在macOS中，按下Cmd + Shift + .）。
   ii. 创建此文件的副本，并通过删除扩展名来调用它。最简单的方法是在命令提示符/终端窗口中执行此操作 `cp .env.template .env`。
   iii. 打开 `.env` 文件在文本编辑器中。
   iv. 找到行 `OPENAI_API_KEY=`.
   v. 在 `"="`后面， 输入您唯一的 OpenAI API 密钥（不含任何引号或空格）。如果您没有OpenAI API密钥，请访问 https://beta.openai.com/ 以获取一个。
   vi. E输入您要使用的服务的任何其他 API 密钥或令牌。
   vii. 保存并关闭 `.env` 文件。

   完成这些步骤后，您将正确配置项目的 API 密钥。

## 🔧 用法

1. 在终端中运行 `autogpt` Python 模块。
    * 在 Linux/MacOS:

    ```bash
    ./run.sh
    ```

    * 在 Windows:

    ```bash
    .\run.bat
    ```

    在 `.\run.bat` 后面加上 `--help` 可以列出您可以传递的所有可能的命令行参数。
2. 每次 Auto-GPT 响应后，从选项中选择授权命令，退出程序或向 AI 提供反馈。
    i. 通过输入 `y` 授权单个命令。
    ii. 通过输入 `y -N` 授权一系列连续的 _N_ 命令。例如，输入 `y -10` 将运行 10 次自动迭代。
    iii. 输入任何自由文本以向 Auto-GPT 提供反馈。
    iv. 通过输入 `n` 退出程序。

### 日志

活动和错误日志位于 `./output/logs`

打印出调试日志：

```
python -m autogpt --debug
```