webflow-observability

# Webflow Observability ## Overview Full observability stack for Webflow Data API v2 integrations: Prometheus metrics for API call counting and latency, OpenTelemetry distributed tracing, structured JSON logging, and alerting rules for error rate and rate limit exhaustion. ## Prerequisites - `prom-client` for Prometheus metrics - `@opentelemetry/api` for tracing (optional) - `pino` for structured logging - Prometheus + Grafana (or compatible backend) ## Instructions ### Step 1: Prometheus Metrics ```typescript // src/observability/metrics.ts import { Registry, Counter, Histogram, Gauge } from "prom-client"; export const registry = new Registry(); // API request counter (by operation and status) export const apiRequests = new Counter({ name: "webflow_api_requests_total", help: "Total Webflow API requests", labelNames: ["operation", "status_code", "method"] as const, registers: [registry], }); // Request duration histogram export const apiDuration = new Histogram({ name: "webflow_api_request_duration_seconds", help: "Webflow API request duration in seconds", labelNames: ["operation"] as const, buckets: [0.05, 0.1, 0.25, 0.5, 1, 2, 5, 10], registers: [registry], }); // Error counter by type export const apiErrors = new Counter({ name: "webflow_api_errors_total", help: "Webflow API errors by status code", labelNames: ["operation", "status_code", "error_type"] as const, registers: [registry], }); // Rate limit remaining gauge export const rate...