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belt login
# Simple automation: Generate daily image
belt app run falai/flux-dev --input '{
"prompt": "Inspirational quote background, minimalist design, date: '"$(date +%Y-%m-%d)"'"
}'
Automation Patterns
Pattern 1: Batch Processing
Process multiple items with the same workflow.
#!/bin/bash# batch_images.sh - Generate images for multiple prompts
PROMPTS=(
"Mountain landscape at sunrise""Ocean waves at sunset""Forest path in autumn""Desert dunes at night"
)
for prompt in"${PROMPTS[@]}"; doecho"Generating: $prompt"
belt app run falai/flux-dev --input "{
\"prompt\": \"$prompt, professional photography, 4K\"
}" > "output_${prompt// /_}.json"sleep 2 # Rate limitingdone
Pattern 2: Sequential Pipeline
Chain multiple AI operations.
#!/bin/bash# content_pipeline.sh - Full content creation pipeline
TOPIC="AI in healthcare"# Step 1: Researchecho"Researching..."
RESEARCH=$(belt app run tavily/search-assistant --input "{
\"query\": \"$TOPIC latest developments\"
}")
# Step 2: Write articleecho"Writing article..."
ARTICLE=$(belt app run openrouter/claude-sonnet-45 --input "{
\"prompt\": \"Write a 500-word blog post about $TOPIC based on: $RESEARCH\"
}")
# Step 3: Generate imageecho"Generating image..."
IMAGE=$(belt app run falai/flux-dev --input "{
\"prompt\": \"Blog header image for article about $TOPIC, modern, professional\"
}")
# Step 4: Generate social postecho"Creating social post..."
SOCIAL=$(belt app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Write a Twitter thread (5 tweets) summarizing: $ARTICLE\"
}")
echo"Pipeline complete!"
Pattern 3: Parallel Processing
Run multiple operations simultaneously.
#!/bin/bash# parallel_generation.sh - Generate multiple assets in parallel# Start all jobs in background
belt app run falai/flux-dev --input '{"prompt": "Hero image..."}' > hero.json &
PID1=$!
belt app run falai/flux-dev --input '{"prompt": "Feature image 1..."}' > feature1.json &
PID2=$!
belt app run falai/flux-dev --input '{"prompt": "Feature image 2..."}' > feature2.json &
PID3=$!
# Wait for all to completewait$PID1$PID2$PID3echo"All images generated!"
Pattern 4: Conditional Workflow
Branch based on results.
#!/bin/bash# conditional_workflow.sh - Process based on content analysis
INPUT_TEXT="$1"# Analyze content
ANALYSIS=$(belt app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Classify this text as: positive, negative, or neutral. Return only the classification.\n\n$INPUT_TEXT\"
}")
# Branch based on resultcase"$ANALYSIS"in
*positive*)
echo"Generating celebration image..."
belt app run falai/flux-dev --input '{"prompt": "Celebration, success, happy"}'
;;
*negative*)
echo"Generating supportive message..."
belt app run openrouter/claude-sonnet-45 --input "{
\"prompt\": \"Write a supportive, encouraging response to: $INPUT_TEXT\"
}"
;;
*)
echo"Generating neutral acknowledgment..."
;;
esac
Pattern 5: Retry with Fallback
Handle failures gracefully.
#!/bin/bash# retry_workflow.sh - Retry failed operationsgenerate_with_retry() {
local prompt="$1"local max_attempts=3
local attempt=1
while [ $attempt -le $max_attempts ]; doecho"Attempt $attempt..."
result=$(belt app run falai/flux-dev --input "{\"prompt\": \"$prompt\"}" 2>&1)
if [ $? -eq 0 ]; thenecho"$result"return 0
fiecho"Failed, retrying..."
((attempt++))
sleep $((attempt * 2)) # Exponential backoffdone# Fallback to different modelecho"Falling back to alternative model..."
belt app run google/imagen-3 --input "{\"prompt\": \"$prompt\"}"
}
generate_with_retry "A beautiful sunset over mountains"
Scheduled Automation
Cron Job Setup
# Edit crontab
crontab -e
# Daily content generation at 9 AM
0 9 * * * /path/to/daily_content.sh >> /var/log/ai-automation.log 2>&1
# Weekly report every Monday at 8 AM
0 8 * * 1 /path/to/weekly_report.sh >> /var/log/ai-automation.log 2>&1
# Every 6 hours: social media content
0 */6 * * * /path/to/social_content.sh >> /var/log/ai-automation.log 2>&1
Daily Content Script
#!/bin/bash# daily_content.sh - Run daily at 9 AM
DATE=$(date +%Y-%m-%d)
OUTPUT_DIR="/output/$DATE"mkdir -p "$OUTPUT_DIR"# Generate daily quote image
belt app run falai/flux-dev --input '{
"prompt": "Motivational quote background, minimalist, morning vibes"
}' > "$OUTPUT_DIR/quote_image.json"# Generate daily tip
belt app run openrouter/claude-haiku-45 --input '{
"prompt": "Give me one actionable productivity tip for today. Be concise."
}' > "$OUTPUT_DIR/daily_tip.json"# Post to social (optional)# belt app run twitter/post-tweet --input "{...}"echo"Daily content generated: $DATE"
Monitoring and Logging
Logging Wrapper
#!/bin/bash# logged_workflow.sh - With comprehensive logging
LOG_FILE="/var/log/ai-workflow-$(date +%Y%m%d).log"log() {
echo"[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
}
log"Starting workflow"# Track execution time
START_TIME=$(date +%s)
# Run workflowlog"Generating image..."
RESULT=$(belt app run falai/flux-dev --input '{"prompt": "test"}' 2>&1)
STATUS=$?
if [ $STATUS -eq 0 ]; thenlog"Success: Image generated"elselog"Error: $RESULT"fi
END_TIME=$(date +%s)
DURATION=$((END_TIME - START_TIME))
log"Completed in ${DURATION}s"
Error Alerting
#!/bin/bash# monitored_workflow.sh - With error alertsrun_with_alert() {
local result
result=$("$@" 2>&1)
local status=$?
if [ $status -ne 0 ]; then# Send alert (webhook, email, etc.)
curl -X POST "https://your-webhook.com/alert" \
-H "Content-Type: application/json" \
-d "{\"error\": \"$result\", \"command\": \"$*\"}"fiecho"$result"return$status
}
run_with_alert belt app run falai/flux-dev --input '{"prompt": "test"}'
Python SDK Automation
#!/usr/bin/env python3# automation.py - Python-based workflowimport subprocess
import json
from datetime import datetime
from pathlib import Path
defrun_infsh(app_id: str, input_data: dict) -> dict:
"""Run inference.sh app and return result."""
result = subprocess.run(
["belt", "app", "run", app_id, "--input", json.dumps(input_data)],
capture_output=True,
text=True
)
return json.loads(result.stdout) if result.returncode == 0elseNonedefdaily_content_pipeline():
"""Generate daily content."""
date_str = datetime.now().strftime("%Y-%m-%d")
output_dir = Path(f"output/{date_str}")
output_dir.mkdir(parents=True, exist_ok=True)
# Generate image
image = run_infsh("falai/flux-dev", {
"prompt": f"Daily inspiration for {date_str}, beautiful, uplifting"
})
(output_dir / "image.json").write_text(json.dumps(image))
# Generate caption
caption = run_infsh("openrouter/claude-haiku-45", {
"prompt": "Write an inspiring caption for a daily motivation post. 2-3 sentences."
})
(output_dir / "caption.json").write_text(json.dumps(caption))
print(f"Generated content for {date_str}")
if __name__ == "__main__":
daily_content_pipeline()
Workflow Templates
Content Calendar Automation
#!/bin/bash# content_calendar.sh - Generate week of content
TOPICS=("productivity""wellness""technology""creativity""leadership")
DAYS=("Monday""Tuesday""Wednesday""Thursday""Friday")
for i in"${!DAYS[@]}"; do
DAY=${DAYS[$i]}
TOPIC=${TOPICS[$i]}echo"Generating $DAY content about $TOPIC..."# Image
belt app run falai/flux-dev --input "{
\"prompt\": \"$TOPIC theme, $DAY motivation, social media style\"
}" > "content/${DAY}_image.json"# Caption
belt app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Write a $DAY motivation post about $TOPIC. Include hashtags.\"
}" > "content/${DAY}_caption.json"done
Data Processing Pipeline
#!/bin/bash# data_processing.sh - Process and analyze data files
INPUT_DIR="./data/raw"
OUTPUT_DIR="./data/processed"for file in"$INPUT_DIR"/*.txt; do
filename=$(basename"$file" .txt)
# Analyze content
belt app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Analyze this data and provide key insights in JSON format: $(cat $file)\"
}" > "$OUTPUT_DIR/${filename}_analysis.json"done
Best Practices
Rate limiting - Add delays between API calls
Error handling - Always check return codes
Logging - Track all operations
Idempotency - Design for safe re-runs
Monitoring - Alert on failures
Backups - Save intermediate results
Timeouts - Set reasonable limits
Related Skills
# Content pipelines
npx skills add inference-sh/skills@ai-content-pipeline
# RAG pipelines
npx skills add inference-sh/skills@ai-rag-pipeline
# Social media automation
npx skills add inference-sh/skills@ai-social-media-content
# Full platform skill
npx skills add inference-sh/skills@infsh-cli
