1. Installation

pip install openlist-ani

2. Creating the Configuration File

Create a new config.toml in the running directory and fill in the following content:

[rss]
urls = ["RSS订阅链接"]
[openlist]
url = "http://localhost:5244"       # Openlist 访问地址
token = ""                          # 令牌，见「设置 → 其他 → 令牌」
download_path = "/PikPak/Anime"     # 下载保存路径
offline_download_tool = "QBITTORRENT"  # 离线下载工具
[llm]
openai_api_key = ""                 # API Key
openai_base_url = "https://api.deepseek.com/v1"
openai_model = "deepseek-chat"

完整配置项请参考 config.toml.example 及 配置说明

3. 启动

openlist-ani

4. (Optional) Start the AI Assistant

Run after adding the assistant configuration in the configuration file:

[assistant]
enabled = true
[assistant.telegram]
bot_token = ""        # 从 @BotFather 获取
allowed_users = []    # 允许的用户 ID 列表，留空则不限制

openlist-ani-assistant

1. Prepare Files

Create in the running directory:

• config.toml — Configuration file (same content as above)
• data/ — Data directory

docker run -d \
  --name openlist-ani \
  --network host \
  -e ENABLE_ASSISTANT=false \
  -v /path/to/config.toml:/config.toml \
  -v /path/to/data:/data \
  twosix26/openlist-ani:latest

Replace /path/to/ with your actual path.

To enable the AI assistant, set ENABLE_ASSISTANT to true after completing the configuration.

For detailed instructions, see Docker Deployment Guide.

#### Prerequisite: Install uv

curl -LsSf https://astral.sh/uv/install.sh | sh

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

更多安装方式参考 uv 官方文档

#### 步骤

# 1. 克隆仓库
git clone https://github.com/TwooSix/Openlist-Ani.git && cd Openlist-Ani
2. 切换到最新版本（master 为开发分支，不保证稳定）
git checkout v*    # 替换为最新版本号
3. 安装依赖
uv sync --no-dev --frozen
4. 创建 config.toml 并填写配置（内容同上）
5. 启动
uv run openlist-ani
6.（可选）启动 AI 助理
uv run openlist-ani-assistant