lindy-incident-runbook

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Incident response procedures for Lindy AI agent failures and outages. Use when responding to incidents, troubleshooting agent outages, or creating on-call procedures for Lindy-powered systems. Trigger with phrases like "lindy incident", "lindy outage", "lindy on-call", "lindy runbook", "lindy down".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# 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 | Severity | Description | Response Time | Examples | |----------|-------------|---------------|----------| | SEV1 | All agents failing, customer impact | 15 minutes | Lindy platform outage, all webhooks failing | | SEV2 | Critical agent down | 30 minutes | Support bot offline, phone agent unreachable | | SEV3 | Degraded performance | 2 hours | High latency, intermittent failures | | SEV4 | Minor issue | 24 hours | Non-critical agent misconfigured | ## Quick Diagnostics (First 5 Minutes) ### Step 1: Check Lindy Platform Status ```bash # 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 ```bash # 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.l...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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