cloud-aitools 1.2.8

cloud-aitools is a CLI tool for managing AI models on Tencent Cloud, providing high-performance upload, download and model management capabilities.

cloud-aitools - AI Model Management Tool

cloud-aitools is a CLI tool for managing AI models on Tencent Cloud, providing high-performance upload, download and model management capabilities.

Key Features

• 🚀 High Performance Transfer: Supports coroutine/multi-process concurrent operations for accelerated large model transfers (Internal network download speeds up to 90Gb/s, tested DeepSeek-R1 671B model (641GB) downloaded to local memory in just 1 minute 20 seconds)
• 🔍 Model Management: Supports model listing, uploading, downloading and other operations
• 🌐 Smart Region Detection: Automatically detects COS internal network region based on current network environment
• 🔒 Data Verification: Uses Blake3 algorithm to ensure file integrity
• 📊 Progress Display: Real-time transfer progress and speed monitoring
• 🔧 Flexible Configuration: Supports private deployment, custom bucket naming, region selection, etc.

Installation Guide

Prerequisites

• Python 3.12+
• pip
• uv (optional)

Installation Methods

uv (Recommended)

uv tool install cloud-aitools@latest --index-url http://mirrors.tencentyun.com/pypi/simple/

pip

pip3 install cloud-aitools --index-url http://mirrors.tencentyun.com/pypi/simple/ --trusted-host mirrors.tencentyun.com

Usage

Basic Command

aitools [OPTIONS] COMMAND [ARGS]...

Upload Model

aitools model upload \
  --secret-id YOUR_SECRET_ID \
  --secret-key YOUR_SECRET_KEY \
  --local-path /path/to/model \
  --model-name model_name \
  --bucket-pattern bucket-appid \
  --region ap-shanghai

Download Model

aitools model download model_name \
  --output /path/to/save \
  --region ap-shanghai

List Models

aitools model list

Detect Current Region

aitools get-region

Configuration Options

Common Parameters

• --verbose/-v: Enable verbose logging
• --region: Specify COS region
• --bucket-pattern: Bucket naming pattern (bucket-appid)
• --process-num/-p: Number of download processes (default 64)

Development Guide

Project Structure

cloud_aitools/
├── handler/          # Handlers
│   └── cos_handler.py # COS operations implementation
├── model/            # Data models and business logic
├── utils/            # Utility classes
│   ├── async_downloader.py # Async downloader
│   ├── dns.py        # DNS and region detection
│   └── progress.py   # Progress display
└── main.py           # Main entry

Dependency Management

Project uses uv for dependency management, main dependencies include:

• qcloud_cos: Tencent Cloud COS SDK
• minio: MinIO client
• aiohttp: Async HTTP client
• blake3: Fast hashing algorithm

License

MIT License

Copyright (c) 2025 cloud-aitools

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.