MyDeskBot CLI Version

Work with AI directly from your terminal. Perfect for command line enthusiasts, automation experts, and anyone who prefers terminal workflows.

Overview

The MyDeskBot CLI Version provides a command line interface for the MyDeskBot AI engine. It enables natural language command generation, script automation, and terminal-based AI interaction.

Why Choose CLI Version?

⌨️ Terminal Integration Advantages

Command Line Interface: Use AI directly from your terminal
Script Automation: Generate and execute scripts with AI assistance
Batch Operations: Process multiple files or servers at once
Pipeline Integration: Seamlessly integrate with CI/CD pipelines

🎯 Perfect For Terminal Users

Keyboard-First: Control everything with keyboard commands
Automation Focused: Ideal for scripting and automation tasks
Terminal Workflows: Fits naturally into terminal-based workflows
Power User Friendly: Advanced features for experienced terminal users

Same AI Engine

🔄 Powered by MyDeskBot AI

The CLI Version uses the same AI engine as the Desktop and IDE versions:

Consistent Intelligence: Same AI capabilities across all interfaces
Shared Skills: Use the same Agent Skills Framework
Unified Configuration: AI settings sync across all versions
Cross-Interface Workflows: Start a task in CLI, continue in Desktop or IDE

🎯 Choose Your Interface

CLI: For terminal automation and scripting
Desktop: For visual workflows and graphical interaction
IDE: For coding assistance within your editor
All Three: Use different interfaces for different tasks

Installation

Using npm

bash

npm install -g @mydeskbot/cli

Using yarn

bash

yarn global add @mydeskbot/cli

Using Homebrew (macOS)

bash

brew install mydeskbot/tap/mydeskbot-cli

Using Scoop (Windows)

bash

scoop bucket add mydeskbot
scoop install mydeskbot-cli

Using Docker

bash

docker pull mydeskbot/cli:latest
docker run -it --rm mydeskbot/cli --help

Manual Installation

Download the binary for your platform from GitHub Releases
Extract the archive

Move the binary to your PATH:

bash

# macOS/Linux
sudo mv mydeskbot /usr/local/bin/

# Windows (PowerShell)
Copy-Item mydeskbot.exe C:\Windows\System32\

Getting Started

Authentication

bash

# Configure your API key
mydeskbot config set apiKey YOUR_API_KEY

# Or use environment variable
export MYDESKBOT_API_KEY=YOUR_API_KEY

First Command

bash

# Ask MyDeskBot to generate a command
mydeskbot ask "List all processes using more than 1GB of RAM"

# Output:
# ps aux | awk '$6 > 1048576 {print $2, $6, $11}'

Core Commands

`mydeskbot ask`

Generate commands or get help:

bash

# Generate a command
mydeskbot ask "Find files larger than 100MB"

# Get explanation for a command
mydeskbot explain "docker ps -a --filter 'exited=0'"

# Generate a script
mydeskbot generate-script "Backup all MySQL databases"

# Get help with regex
mydeskbot regex "Match email addresses"

`mydeskbot exec`

Execute commands with AI supervision:

bash

# Execute with explanation
mydeskbot exec "tar -xzf archive.tar.gz" --explain

# Execute with dry-run (show what will happen)
mydeskbot exec "rm -rf /tmp/old/*" --dry-run

# Execute with safety checks
mydeskbot exec "docker system prune" --safe

`mydeskbot script`

Generate and manage scripts:

bash

# Generate a backup script
mydeskbot script generate backup-database

# Edit with AI assistance
mydeskbot script edit backup-database

# Run with validation
mydeskbot script run backup-database --validate

`mydeskbot chat`

Interactive AI chat in terminal:

bash

# Start interactive session
mydeskbot chat

# Ask questions
> How do I find the size of a directory?
> du -sh directory-name

> How do I compress a file?
> tar -czf archive.tar.gz file.txt

`mydeskbot config`

Manage configuration:

bash

# Set configuration
mydeskbot config set model gpt-4
mydeskbot config set temperature 0.7

# View configuration
mydeskbot config get

# Reset configuration
mydeskbot config reset

Use Cases

DevOps Automation

bash

# Generate deployment script
mydeskbot script generate deploy-app \
  --template "Deploy to AWS ECS" \
  --variables "IMAGE_TAG=latest,CLUSTER=production"

# Generate monitoring script
mydeskbot ask "Monitor CPU usage and alert if > 80%"

# Generate backup script
mydeskbot ask "Backup all PostgreSQL databases with timestamps"

System Administration

bash

# Find system issues
mydeskbot ask "Find all zombie processes"

# Clean up disk space
mydeskbot ask "Remove all files in /tmp older than 7 days"

# Check service status
mydeskbot ask "Check if all required services are running"

Development Workflows

bash

# Generate commit message
mydeskbot ask "Generate commit message for: Fixed memory leak in API handler"

# Generate release notes
mydeskbot ask "Generate release notes from git log since v1.0.0"

# Run tests with AI
mydeskbot exec "npm test" --analyze

Log Analysis

bash

# Find errors
mydeskbot ask "Find all ERROR entries in app.log"

# Analyze patterns
mydeskbot ask "Find common patterns in access.log"

# Generate report
mydeskbot ask "Generate summary report for server logs"

Configuration

Config File

Create .mydeskbot.yaml in your project:

yaml

# Model settings
model:
  provider: openai
  model: gpt-4
  temperature: 0.7
  maxTokens: 2048

# Safety settings
safety:
  confirmDangerousCommands: true
  blockDestructiveCommands: false
  dryRunByDefault: false

# Integrations
integrations:
  github:
    token: GITHUB_TOKEN
  aws:
    region: us-east-1
    profile: default

# Aliases
aliases:
  backup: "mydeskbot script run backup-database"
  deploy: "mydeskbot script run deploy-app"

Environment Variables

bash

# API Keys
export MYDESKBOT_API_KEY=your_api_key
export OPENAI_API_KEY=your_openai_key
export ANTHROPIC_API_KEY=your_anthropic_key

# Model Settings
export MYDESKBOT_MODEL=gpt-4
export MYDESKBOT_TEMPERATURE=0.7

# Safety Settings
export MYDESKBOT_SAFE_MODE=true
export MYDESKBOT_DRY_RUN=false

Script Templates

Backup Script Template

bash

#!/bin/bash
# MyDeskBot Generated: Backup Script
# Generated: 2024-02-24

# Variables
BACKUP_DIR="/backups"
TIMESTAMP=$(date +%Y%m%d_%H%M%S)
RETENTION_DAYS=7

# Functions
backup_database() {
    local db_name=$1
    local backup_file="$BACKUP_DIR/${db_name}_${TIMESTAMP}.sql.gz"

    echo "Backing up $db_name..."
    mysqldump -u root -p"$DB_PASSWORD" "$db_name" | gzip > "$backup_file"

    echo "Backup saved to $backup_file"
}

# Main execution
backup_database "app_db"
backup_database "analytics_db"

# Cleanup old backups
find "$BACKUP_DIR" -name "*.sql.gz" -mtime +$RETENTION_DAYS -delete

echo "Backup completed successfully"

Deployment Script Template

bash

#!/bin/bash
# MyDeskBot Generated: Deployment Script

# Configuration
APP_NAME="myapp"
DOCKER_IMAGE="myapp:$1"
HELM_CHART="./charts/$APP_NAME"

# Pre-deployment checks
check_preconditions() {
    echo "Checking preconditions..."

    # Check if image exists
    if ! docker image inspect "$DOCKER_IMAGE" &> /dev/null; then
        echo "Error: Image $DOCKER_IMAGE not found"
        exit 1
    fi

    # Check if chart exists
    if [ ! -d "$HELM_CHART" ]; then
        echo "Error: Helm chart not found at $HELM_CHART"
        exit 1
    fi

    echo "Preconditions passed"
}

# Deploy application
deploy_app() {
    echo "Deploying $APP_NAME..."

    helm upgrade --install "$APP_NAME" "$HELM_CHART" \
        --set image.tag="$1" \
        --namespace production \
        --wait \
        --timeout 5m

    echo "Deployment completed"
}

# Rollback on failure
rollback_deployment() {
    echo "Rolling back deployment..."
    helm rollback "$APP_NAME" --namespace production
}

# Main execution
check_preconditions

if ! deploy_app "$1"; then
    rollback_deployment
    exit 1
fi

echo "Deployment successful"

CI/CD Integration

GitHub Actions

yaml

name: MyDeskBot CI

on:
  push:
    branches: [main]
  pull_request:

jobs:
  mydeskbot-review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Setup MyDeskBot CLI
        uses: mydeskbot/setup-cli@v1
        with:
          api-key: ${{ secrets.MYDESKBOT_API_KEY }}

      - name: Code Review
        run: |
          mydeskbot review \
            --files $(git diff --name-only main) \
            --format markdown \
            --output review.md

      - name: Comment PR
        uses: actions/github-script@v6
        with:
          script: |
            const fs = require('fs')
            const review = fs.readFileSync('review.md', 'utf8')
            github.rest.issues.createComment({
              issue_number: context.issue.number,
              owner: context.repo.owner,
              repo: context.repo.repo,
              body: review
            })

GitLab CI

yaml

stages:
  - review
  - test

mydeskbot-review:
  stage: review
  image: mydeskbot/cli:latest
  script:
    - mydeskbot review --target $CI_MERGE_REQUEST_TARGET_BRANCH_NAME
  artifacts:
    paths:
      - mydeskbot-review.md

mydeskbot-test:
  stage: test
  image: mydeskbot/cli:latest
  script:
    - mydeskbot generate-tests --coverage 80
    - mydeskbot run-tests --parallel

Advanced Features

Batch Processing

bash

# Process multiple files
mydeskbot batch process ./logs/*.log \
  --action "summarize errors" \
  --output ./summaries/

# Process in parallel
mydeskbot batch process ./data/*.csv \
  --parallel 4 \
  --action "generate report" \
  --format markdown

Pipeline Integration

bash

# Create a pipeline
mydeskbot pipeline create my-pipeline.yaml <<EOF
steps:
  - name: validate
    command: mydeskbot validate
  - name: test
    command: npm test
  - name: deploy
    command: mydeskbot deploy
EOF

# Run pipeline
mydeskbot pipeline run my-pipeline.yaml

Custom Commands

bash

# Define custom command
mydeskbot alias add "db-backup" "mydeskbot script run backup-database"

# Use custom command
mydeskbot db-backup

# List aliases
mydeskbot alias list

Safety Features

Dangerous Command Detection

bash

# MyDeskBot warns about dangerous commands
$ mydeskbot ask "Delete all files"
⚠️  WARNING: This command will delete all files in the current directory
⚠️  Command: rm -rf .
⚠️  Are you sure? (y/N): y

Dry Run Mode

bash

# Preview changes without executing
mydeskbot exec "docker system prune" --dry-run

# Output:
# Would remove:
# - 12 stopped containers
# - 5 unused images
# - 3 GB of data

Command History

bash

# View command history
mydeskbot history

# Replay a command
mydeskbot history replay 42

# Export history
mydeskbot history export commands.json

Resources

Pricing

Plan	Price	Features
Free	$0	100 requests/day, basic features
Pro	$9/mo	Unlimited requests, advanced features
Team	$29/user/mo	Team sharing, pipeline templates
Enterprise	Custom	Self-hosted, custom integrations

Automate with AI from your terminal! Install MyDeskBot CLI Version today.

MyDeskBot CLI Version ​

Overview ​

Why Choose CLI Version? ​

⌨️ Terminal Integration Advantages ​

🎯 Perfect For Terminal Users ​

Same AI Engine ​

🔄 Powered by MyDeskBot AI ​

🎯 Choose Your Interface ​

Installation ​

Using npm ​

Using yarn ​

Using Homebrew (macOS) ​

Using Scoop (Windows) ​

Using Docker ​

Manual Installation ​

Getting Started ​

Authentication ​

First Command ​

Core Commands ​

mydeskbot ask ​

mydeskbot exec ​

mydeskbot script ​

mydeskbot chat ​

mydeskbot config ​

Use Cases ​

DevOps Automation ​

System Administration ​

Development Workflows ​

Log Analysis ​

Configuration ​

Config File ​

Environment Variables ​

Script Templates ​

Backup Script Template ​

Deployment Script Template ​

CI/CD Integration ​

GitHub Actions ​

GitLab CI ​

Advanced Features ​

Batch Processing ​

Pipeline Integration ​

Custom Commands ​

Safety Features ​

Dangerous Command Detection ​

Dry Run Mode ​

Command History ​

Resources ​

Pricing ​

MyDeskBot CLI Version

Overview

Why Choose CLI Version?

⌨️ Terminal Integration Advantages

🎯 Perfect For Terminal Users

Same AI Engine

🔄 Powered by MyDeskBot AI

🎯 Choose Your Interface

Installation

Using npm

Using yarn

Using Homebrew (macOS)

Using Scoop (Windows)

Using Docker

Manual Installation

Getting Started

Authentication

First Command

Core Commands

`mydeskbot ask`

`mydeskbot exec`

`mydeskbot script`

`mydeskbot chat`

`mydeskbot config`

Use Cases

DevOps Automation

System Administration

Development Workflows

Log Analysis

Configuration

Config File

Environment Variables

Script Templates

Backup Script Template

Deployment Script Template

CI/CD Integration

GitHub Actions

GitLab CI

Advanced Features

Batch Processing

Pipeline Integration

Custom Commands

Safety Features

Dangerous Command Detection

Dry Run Mode

Command History

Resources

Pricing