Lindy Incident Runbook

Overview

Incident response procedures for Lindy AI agent failures. Covers platform outages,

individual agent failures, integration breakdowns, credit exhaustion, and webhook

endpoint failures.

Incident Severity Levels

Quick Diagnostics (First 5 Minutes)

Step 1: Check Lindy Platform Status

# Is Lindy up?
curl -s -o /dev/null -w "Lindy API: HTTP %{http_code}\n" \
  "https://public.lindy.ai" --max-time 5

# Check status page
echo "Status page: https://status.lindy.ai"

Step 2: Check Your Integration

# Is your webhook receiver up?
curl -s -o /dev/null -w "Our endpoint: HTTP %{http_code}\n" \
  "https://api.yourapp.com/health" --max-time 5

# Is the webhook auth working?
curl -s -o /dev/null -w "Webhook auth: HTTP %{http_code}\n" \
  -X POST "https://api.yourapp.com/lindy/callback" \
  -H "Authorization: Bearer $LINDY_WEBHOOK_SECRET" \
  -H "Content-Type: application/json" \
  -d '{"test": true}' --max-time 5

Step 3: Check Credit Balance

Log in at https://app.lindy.ai > Settings > Billing

• Credits at 0? Agents stop processing
• Credits low? Non-essential agents may be paused

Incident Playbooks

Incident: Lindy Platform Outage (SEV1)

Symptoms: All agents failing, status.lindy.ai shows incident

Impact: All Lindy-dependent workflows halted

Runbook:

1. Confirm outage at https://status.lindy.ai
2. Notify team: "Lindy platform outage confirmed. All agents affected."
3. Activate fallback procedures:

• Route support emails to human inbox
• Disable webhook triggers from your app
• Queue events for replay when Lindy recovers

1. Monitor status page for recovery
2. When recovered: re-enable triggers, replay queued events, verify agent health

Fallback code:

async function triggerLindyWithFallback(payload: any) {
  try {
    const response = await fetch(WEBHOOK_URL, {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${SECRET}`,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify(payload),
      signal: AbortSignal.timeout(10000), // 10s timeout
    });

    if (!response.ok) throw new Error(`HTTP ${response.status}`);
    return { routed: 'lindy' };
  } catch (error) {
    console.error('Lindy unreachable, activating fallback:', error);
    await queueForReplay(payload); // Store for later
    await notifyTeam(`Lindy trigger failed: ${error}`);
    return { routed: 'fallback' };
  }
}

Incident: Individual Agent Failure (SEV2)

Symptoms: Specific agent tasks showing "Failed" status

Impact: One workflow affected, others may be fine

Runbook:

1. Open agent > Tasks tab > Filter by "Failed"
2. Click latest failed task — identify the failing step
3. Diagnose based on failing step type:

• Trigger step: Auth expired? Filter too restrictive?
• Action step: Integration token expired? Target API down?
• Condition step: Ambiguous condition prompt?
• Agent step: Looping? Exit conditions unreachable?

1. Fix the root cause:

• Re-authorize expired integrations
• Fix action configuration
• Simplify condition prompts
• Add fallback exit conditions

1. Test with a manual trigger
2. Monitor next 5 tasks for success

Incident: Integration Auth Expired (SEV2-3)

Symptoms: Actions failing with "Not authorized" or "Token expired"

Impact: All tasks using that integration fail

Runbook:

1. Identify which integration is failing (Gmail, Slack, Sheets, etc.)
2. In Lindy dashboard: Settings > Integrations
3. Find the expired connection (may show warning icon)
4. Click Re-authorize and complete OAuth flow
5. Re-test the agent with a manual trigger
6. Set calendar reminder for 90-day re-authorization check

Incident: Credit Exhaustion (SEV2-3)

Symptoms: Agents stop running, no new tasks created

Impact: All agents paused until credits refill

Runbook:

1. Confirm at Settings > Billing: credits at 0
2. Immediate: Upgrade plan or purchase additional credits
3. Investigate: Which agent consumed the most credits?
4. Root cause: trigger storm? looping agent step? large model overuse?
5. Fix: Add trigger filters, set exit conditions, downgrade model
6. Prevent: Set budget alerts at 50%, 80%, 95% thresholds

Incident: Webhook Endpoint Failure (SEV2-3)

Symptoms: Lindy agent runs but your callback never receives data

Impact: Agent completes but results are lost

Runbook:

1. Check your endpoint health: curl -s https://api.yourapp.com/health
2. Check server logs for incoming requests from Lindy
3. Verify the HTTP Request action URL matches your production endpoint
4. Test endpoint independently: send a POST with curl
5. If endpoint was down: replay failed tasks (re-trigger the agent)
6. If URL mismatch: update URL in Lindy agent HTTP Request action

Escalation Matrix

Post-Incident Template

## Incident Report

**Date**: YYYY-MM-DD
**Severity**: SEV[1-4]
**Duration**: [start time] to [end time] ([total minutes])
**Impact**: [what was affected, customer impact]

### Timeline
- HH:MM — Issue detected via [monitoring/user report]
- HH:MM — On-call paged, diagnostics started
- HH:MM — Root cause identified: [cause]
- HH:MM — Fix applied: [what was done]
- HH:MM — Service restored, monitoring confirmed

### Root Cause
[Technical description of what failed and why]

### Resolution
[What was done to fix it]

### Prevention
- [ ] [Action item 1]
- [ ] [Action item 2]
- [ ] [Action item 3]

Error Handling

Resources

• Lindy Status
• Lindy Support
• Lindy Community

Next Steps

Proceed to lindy-data-handling for data security and compliance.