logging-api-requests

name	logging-api-requests
description	Monitor and log API requests with correlation IDs, performance metrics, and security audit trails. Use when auditing API requests and responses. Trigger with phrases like "log API requests", "add API logging", or "track API calls".
allowed-tools	Read, Write, Edit, Grep, Glob, Bash(api:log-*)
version	1.24.0
author	Jeremy Longshore <[e-mail]>
license	MIT
tags	["api","security","monitoring","performance"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Logging API Requests

Overview

Implement structured API request logging with correlation IDs, performance timing, security audit trails, and PII redaction. Capture request/response metadata in JSON format suitable for aggregation in ELK Stack, Loki, or CloudWatch Logs, enabling debugging, performance analysis, and compliance auditing across distributed services.

Prerequisites

• Structured logging library: Pino or Winston (Node.js), structlog (Python), Logback with JSON encoder (Java)
• Log aggregation system: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana Loki, or CloudWatch Logs
• Correlation ID propagation mechanism (middleware-injected or from incoming X-Request-ID header)
• PII data classification for the API domain (which fields contain personal data requiring redaction)
• Log retention and rotation policy defined per compliance requirements

Instructions

1. Examine existing logging configuration using Grep and Read to identify current log format, output destinations, and any structured logging already in place.
2. Implement request logging middleware that captures: timestamp (ISO 8601), correlation ID, HTTP method, URL path (without query string PII), status code, response time (ms), request size, response size, and client IP.
3. Generate a unique correlation ID (X-Request-ID) for each request if not provided by the caller, and propagate it to all downstream service calls and log entries within the request scope.
4. Add PII redaction rules that mask sensitive fields (passwords, tokens, SSNs, email addresses) in logged request/response bodies using configurable field-path patterns.
5. Implement log levels per context: info for successful requests, warn for 4xx client errors, error for 5xx server errors with stack traces, and debug for request/response bodies (development only).
6. Configure response body logging for error responses only (4xx/5xx), capturing the error payload for debugging while skipping successful response bodies to reduce log volume.
7. Add security audit logging for sensitive operations: authentication attempts, permission changes, data exports, and admin actions, tagged with audit: true for separate indexing.
8. Set up log rotation and retention policies: 30 days for application logs, 90 days for audit logs, with automatic compression of logs older than 7 days.
9. Write tests verifying that PII redaction works correctly, correlation IDs propagate through nested calls, and log output matches expected JSON structure.

See ${CLAUDE_SKILL_DIR}/references/implementation.md for the full implementation guide.