Automation & Scripting with Gemini CLI
Learn how to integrate Gemini CLI into your development workflows and automate repetitive tasks to boost your productivity.
Setting Up Automation
Environment Variables
First, set up your environment for automation:
# Set API key as environment variable
export GEMINI_API_KEY="your-api-key-here"
# Set default configuration
export GEMINI_MODEL="gemini-pro"
export GEMINI_FORMAT="json"
Batch Processing
Note: Gemini CLI is primarily an interactive tool. For automation, you would need to use the Gemini API directly or wait for future CLI features.
Current approach for batch processing:
#!/bin/bash
# Process files interactively
for file in *.txt; do
echo "Processing $file..."
echo "Please run: gemini"
echo "Then paste: Summarize this text: $(cat $file)"
echo "Save output to: ${file%.txt}_summary.txt"
read -p "Press enter when done..."
done
Common Automation Patterns
1. Code Review Automation
Note: Direct automation is not currently supported. Consider using the Gemini API for scripting:
#!/bin/bash
# review-code.sh - Manual process
git diff --name-only HEAD~1 | while read file; do
if [[ $file == *.js || $file == *.py || $file == *.ts ]]; then
echo "Please review $file manually in Gemini CLI"
echo "Prompt: Review this code for bugs and improvements:"
echo "$(cat $file)"
echo "---"
fi
done
2. Documentation Generation
Note: For automated documentation, consider using the Gemini API directly:
#!/bin/bash
# generate-docs.sh - Manual process
for file in src/**/*.js; do
echo "Generate JSDoc for: $file"
echo "Use Gemini CLI interactively with this prompt:"
echo "Generate JSDoc comments for this code:"
echo "$(cat $file)"
echo "---"
done
3. Content Translation
For translation workflows, use the interactive CLI:
#!/bin/bash
# translate-content.sh - Interactive approach
LANGUAGES=("es" "fr" "de" "ja")
for lang in "${LANGUAGES[@]}"; do
echo "Translate content.md to $lang"
echo "Use Gemini CLI with prompt:"
echo "Translate this to $lang: $(cat content.md)"
echo "Save to: content_$lang.md"
read -p "Press enter when done..."
done
Advanced Scripting
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Error Handling
Note: Since Gemini CLI is interactive, error handling is built into the CLI itself:
#!/bin/bash
process_with_gemini() {
local input="$1"
local output="$2"
echo "Please process in Gemini CLI:"
echo "Input: $input"
echo "Expected output file: $output"
read -p "Was processing successful? (y/n): " success
if [[ $success != "y" ]]; then
echo "Error processing: $input" >&2
return 1
fi
echo "Successfully processed: $input"
return 0
}
Rate Limiting
Implement rate limiting:
#!/bin/bash
RATE_LIMIT=60 # requests per minute
DELAY=$((60 / RATE_LIMIT))
for task in "${tasks[@]}"; do
process_task "$task"
sleep $DELAY
done
Integration with CI/CD
GitHub Actions
Note: For CI/CD automation, use the Gemini API directly instead of the CLI:
name: AI Code Review
on: [pull_request]
jobs:
review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Install Gemini CLI
run: npm install -g @google/gemini-cli
- name: Review Changes
env:
GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
run: |
# Use Gemini API directly for automation
# The CLI is designed for interactive use
echo "Consider using Gemini API for automated workflows"
git diff --name-only origin/main > changed_files.txt
Jenkins Pipeline
Note: For production CI/CD, integrate with Gemini API:
pipeline {
agent any
environment {
GEMINI_API_KEY = credentials('gemini-api-key')
}
stages {
stage('AI Analysis') {
steps {
script {
// Use Gemini API for automated analysis
echo 'Gemini CLI is designed for interactive use'
echo 'Consider using Gemini API for CI/CD automation'
}
}
}
}
}
Best Practices
- Use Environment Variables: Keep API keys secure
- Implement Rate Limiting: Respect API limits
- Add Error Handling: Make scripts robust
- Log Operations: Track what's being processed
- Test Thoroughly: Validate automation before deployment
Monitoring and Logging
Set up proper logging:
#!/bin/bash
LOG_FILE="gemini_automation.log"
log_message() {
echo "$(date): $1" >> "$LOG_FILE"
}
log_message "Starting automation process"
# Your automation code here
log_message "Automation process completed"
Start automating your workflows today and save hours of manual work!
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