用 n8n 搭建 AI API 健康监控

定期检查 API，用 AI 分析错误模式，智能告警减少误报。

DevOps teams monitoring 5+ APIs who want intelligent alerting instead of simple threshold notifications.

n8n, API endpoints to monitor, OpenAI API key, Slack webhook for alerts

工作流图

Schedule Trigger

API Check Nodes

AI Analysis Node

Smart Alerting

Weekly Report

1
Schedule Trigger

Add a Cron node to run every 5 minutes. Configure the schedule to match your monitoring needs. For critical APIs, use 1-minute intervals. For less critical ones, 15 minutes.
2
API Check Nodes

Add HTTP Request nodes for each API endpoint you want to monitor. Set timeout to 10 seconds. Check both status code (200) and response time. Store results with timestamp.
3
AI Analysis Node

When an error is detected, send the error details, last 10 request results, and recent changes to an LLM. Prompt: Analyze this API failure pattern. Identify likely root cause (rate limiting, timeout, dependency failure, code bug). Suggest 3 debugging steps.
4
Smart Alerting

Add a Switch node: if AI confidence > 80% and severity is high, send immediate Slack alert. If confidence < 50%, add to daily summary instead of alerting. This prevents alert fatigue from false positives.
5
Weekly Report

Add a second workflow that runs weekly: collect all API health data, generate a summary report with uptime %, average response times, failure patterns, and recommendations. Send to stakeholders via email.