@sight-ai/sight-cli v1.0.11

Sight AI Miner CLI

A command-line tool for running and managing Sight AI mining software.

Features

• Support for local and remote operation modes
• Automatic system requirements and GPU information detection
• Interactive and command-line parameter configuration
• Simplified Docker management
• Cross-platform support (Windows, macOS, Linux)

Usage

Direct Run (Recommended)

npx @sight-ai/sight-cli run --mode local

Global Installation (Optional)

npm install -g @sight-ai/sight-cli
sight-cli run --mode local

Prerequisites

The following components are required to use this CLI tool:

• Docker (20.10.0+)
• Docker Compose (2.0.0+)
• Ollama service running

Command Overview

sight-cli [command] [options]

Commands

• run: Run the mining software
• status: Check mining software status
• stop: Stop the mining software
• logs: View mining software logs
• update: Update mining software to latest version

Options

• -m, --mode <mode>: Operation mode (local or remote)
• -g, --gateway-url <URL>: Gateway API URL (remote mode)
• -n, --node-code <code>: Node code (remote mode)
• -k, --gateway-api-key <key>: Gateway API key (remote mode)
• -r, --reward-address <address>: Reward address (remote mode)
• -a, --api-base-path <path>: API server base path (remote mode)
• -h, --help: Show help information
• -V, --version: Show version number

Running Examples

Interactive Mode

npx @sight-ai/sight-cli run

Local Mode

npx @sight-ai/sight-cli run --mode local

Remote Mode

npx @sight-ai/sight-cli run --mode remote --gateway-url https://example.com --node-code ABC123 --gateway-api-key YOUR_KEY --reward-address YOUR_ADDRESS --api-base-path /api

How It Works

1. CLI tool first checks system requirements (Docker and Docker Compose)
2. Detects if Ollama service is running
3. Pulls required AI models
4. Collects GPU information
5. Creates configuration file based on selected mode
6. Starts Docker container services
7. Opens mining dashboard and Web UI interface

Logs and Cache

• Log files are located in .sightai/logs folder in user's home directory
• Cache files are located in .sightai/cache folder in user's home directory

Test CLI Locally

node bin/index.js run