lindy-observability

name	lindy-observability
description	Monitor Lindy AI agent health, task success rates, and credit consumption. Use when setting up monitoring, building dashboards, configuring alerts, or tracking agent performance over time. Trigger with phrases like "lindy monitoring", "lindy observability", "lindy metrics", "lindy logging", "lindy dashboard".
allowed-tools	Read, Write, Edit, Bash(curl:*)
version	1.15.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","lindy","monitoring","observability","dashboard"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Lindy Observability

Overview

Monitor Lindy AI agent execution health, task completion rates, step-level failures, trigger frequency, and credit consumption. Lindy provides built-in task history in the dashboard. External observability requires webhook callbacks, the Task Completed trigger, and application-side metrics collection.

Prerequisites

• Lindy workspace with active agents
• For external monitoring: webhook receiver + metrics stack (Prometheus/Grafana, Datadog)
• For alerts: Slack or email integration configured

Key Observability Signals

Signal	Source	Why It Matters
Task completion rate	Tasks tab / callback	Measures agent reliability
Task duration	Task detail view	Tracks performance over time
Step failure rate	Task detail (red steps)	Identifies broken actions
Credit consumption	Billing dashboard	Budget tracking
Trigger frequency	Task count over time	Detects trigger storms
Agent error rate	Failed tasks / total tasks	Overall health indicator

Instructions

Step 1: Dashboard Monitoring (Built-In)

Lindy's Tasks tab provides per-agent monitoring:

1. Open agent > Tasks tab
2. Filter by status: Completed, Failed, In Progress
3. For failed tasks: click to see which step failed and why
4. Track patterns: same step failing? same time of day? same trigger type?

Step 2: Task Completed Trigger (Agent-to-Agent Monitoring)

Use Lindy's built-in Task Completed trigger to build an observability agent:

Monitoring Agent:
  Trigger: Task Completed (from Production Support Agent)
  Condition: "Go down this path if the task failed"
    → Action: Slack Send Channel Message to #ops-alerts
      Message: "Support Agent task failed: {{task.error}}"
  Condition: "Go down this path if task duration > 30 seconds"
    → Action: Slack Send Channel Message to #ops-alerts
      Message: "Support Agent slow: {{task.duration}}s"

Step 3: Webhook-Based Metrics Collection

Configure agents to call your metrics endpoint on task completion: