LOGGING

AI API Gateway Request Logging

Implement comprehensive request logging for your AI API Gateway. Learn debugging strategies, monitoring techniques, and compliance requirements.

logging_implementation.py

Implementation Guide

# Basic Request Logging Configuration import logging from datetime import datetime # Configure structured logging logging.basicConfig( level=logging.INFO, format='%(asctime)s | %(levelname)s | %(message)s' ) class APILogger: def __init__(self, gateway): self.gateway = gateway # Enable request/response logging self.gateway.enable_logging(True) def log_request(self, request): log_data = { "timestamp": datetime.utcnow().isoformat(), "method": request.method, "path": request.path, "headers": self.sanitize_headers(request.headers), "client_ip": request.client.host } logging.info(f"Request: {log_data}")

Sample Log Output

2024-01-15T10:23:45.123Z [INFO] Request received: POST /v1/chat/completions
2024-01-15T10:23:45.124Z [INFO] API Key: sk-***abc123
2024-01-15T10:23:45.456Z [DEBUG] Routing to: openai-endpoint
2024-01-15T10:23:46.789Z [WARN] Response time: 1.6s (threshold: 1s)
2024-01-15T10:23:46.790Z [INFO] Request completed: 200 OK
best_practices.md

Logging Best Practices

📋

Structured Logging

Use JSON format for machine-parseable logs with consistent field naming across all services.

🔒

Data Redaction

Automatically mask sensitive data like API keys, tokens, and PII before logging.

📊

Log Levels

Use appropriate log levels: DEBUG for development, INFO for operations, WARN for issues.

🔄

Rotation Policy

Implement log rotation to manage storage and retention according to compliance requirements.

Performance Impact

Use asynchronous logging to minimize impact on API response times.

📈

Metrics Integration

Correlate logs with metrics for comprehensive monitoring and alerting.

setup_steps.sh

Configuration Steps

  1. Enable Request Logging
    Configure your gateway to log all incoming requests with appropriate detail levels.
  2. Set Up Log Aggregation
    Integrate with log aggregation tools like ELK Stack, Datadog, or Splunk.
  3. Define Sensitive Data Rules
    Create patterns to automatically redact API keys, tokens, and personal information.
  4. Configure Retention Policy
    Set up log retention based on compliance requirements (30 days, 90 days, 1 year).
  5. Set Up Alerts
    Configure alerts for error spikes, unusual traffic patterns, or security events.

Related Topics & Partner Resources