# 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:
```bash
# 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:
```bash
#!/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:
```bash
#!/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:
```bash
#!/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 $file)"
echo "---"
done
```
### 3. Content Translation
For translation workflows, use the interactive CLI:
```bash
#!/bin/bash
# translate-content.sh - Interactive approach
LANGUAGES=("es" "fr" "de" "ja")
for lang in "${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
### Error Handling
**Note**: Since Gemini CLI is interactive, error handling is built into the CLI itself:
```bash
#!/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: $input"
return 0
}
```
### Rate Limiting
Implement rate limiting:
```bash
#!/bin/bash
RATE_LIMIT=60 # requests per minute
DELAY=$((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:
```yaml
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: ${{ secrets.GEMINI_API_KEY }}
run: |
# Use Gemini API directly for automation
# The CLI is designed for interactive use
echo "Consider using Gemini API for automated workflows"
git diff --name-only origin/main > changed_files.txt
```
### Jenkins Pipeline
**Note**: For production CI/CD, integrate with Gemini API:
```groovy
pipeline {
agent any
environment {
GEMINI_API_KEY = credentials('gemini-api-key')
}
stages {
stage('AI Analysis') {
steps {
script {
// Use Gemini API for automated analysis
echo 'Gemini CLI is designed for interactive use'
echo 'Consider using Gemini API for CI/CD automation'
}
}
}
}
}
```
## Best Practices
1. **Use Environment Variables**: Keep API keys secure
2. **Implement Rate Limiting**: Respect API limits
3. **Add Error Handling**: Make scripts robust
4. **Log Operations**: Track what's being processed
5. **Test Thoroughly**: Validate automation before deployment
## Monitoring and Logging
Set up proper logging:
```bash
#!/bin/bash
LOG_FILE="gemini_automation.log"
log_message() {
echo "$(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!