Feature Request
Add rate limiting capabilities to prevent abuse and ensure API stability.
Context
This feature was identified in issue #17 but intentionally deferred as a future enhancement. The core security features (URL validation, input sanitization, parameter validation) have been implemented.
Proposed Implementation
1. Client-Side Rate Limiting
- Implement token bucket or sliding window algorithm
- Track requests per time window
- Configurable limits via environment variables
2. Exponential Backoff
- Automatic retry with exponential backoff on rate limit errors
- Respect
Retry-After headers from Zammad API
- Maximum retry attempts configuration
3. Circuit Breaker Pattern
- Open circuit after consecutive failures
- Half-open state for testing recovery
- Automatic recovery after cooldown period
4. Configuration
ZAMMAD_RATE_LIMIT_ENABLED=true
ZAMMAD_RATE_LIMIT_REQUESTS=100 # requests per minute
ZAMMAD_RATE_LIMIT_WINDOW=60 # seconds
ZAMMAD_MAX_RETRIES=3
ZAMMAD_RETRY_BACKOFF_BASE=2 # exponential base
Technical Considerations
- Use
tenacity library for retry logic with exponential backoff
- Store rate limit state in memory (or Redis for distributed deployments)
- Add prometheus metrics for monitoring rate limit hits
- Consider per-endpoint rate limits vs global limits
Acceptance Criteria
Priority
Low - Nice to have for production deployments
References
Feature Request
Add rate limiting capabilities to prevent abuse and ensure API stability.
Context
This feature was identified in issue #17 but intentionally deferred as a future enhancement. The core security features (URL validation, input sanitization, parameter validation) have been implemented.
Proposed Implementation
1. Client-Side Rate Limiting
2. Exponential Backoff
Retry-Afterheaders from Zammad API3. Circuit Breaker Pattern
4. Configuration
Technical Considerations
tenacitylibrary for retry logic with exponential backoffAcceptance Criteria
Priority
Low - Nice to have for production deployments
References