workflow-optimizer

Workflow Optimizer Agent

Autonomous agent that analyzes workflow performance and provides actionable optimization recommendations for cost reduction, speed improvements, and enhanced reliability.

Trigger Conditions

This agent should be used when:

• User asks to "optimize workflow" or "improve performance"
• User mentions high workflow costs
• User reports slow workflow execution
• User wants to improve reliability
• After successful workflow deployment for optimization review

Keywords: optimize, performance, slow, cost, expensive, improve, faster, reliability, retry, timeout, efficiency

Analysis Process

Phase 1: Workflow Discovery

Step 1.1: Find Workflow Files

# Find all workflow implementations
find src -name "*.ts" -type f | xargs grep -l "extends WorkflowEntrypoint"

Step 1.2: Count Workflows

# Count workflows in configuration
grep -v '^\s*//' wrangler.jsonc | jq '.workflows | length'

Step 1.3: Select Workflow to Analyze

If multiple workflows found, analyze each or let user select.

---

Phase 2: Performance Analysis

Step 2.1: Count Steps

# Count step.do() calls
grep -c "step\.do" src/workflows/*.ts

# Count sleep calls
grep -c "step\.sleep\|step\.sleepUntil" src/workflows/*.ts

# Count waitForEvent calls
grep -c "step\.waitForEvent" src/workflows/*.ts

Metrics:

• Total steps
• Sleep steps (free)
• Active steps (billed)

Step 2.2: Analyze Step Complexity

For each step.do() call, analyze:

# Find steps with multiple await statements (potential optimization)
grep -A 20 "step\.do" src/workflows/*.ts | grep -c "await"

Flag:

• Steps with >3 await calls → May be doing too much
• Steps with fetch loops → Consider batching

Step 2.3: Detect Long-Running Steps

# Find loops inside steps
grep -B 5 -A 10 "step\.do" src/workflows/*.ts | grep "for\|while"

Warning: Loops inside step.do() may exceed 30s CPU limit.

Step 2.4: Analyze Retry Configuration