Deploy ten agents for optimization and development

[markl-a]

Ten parallel improvements implemented:

1. Test Coverage Enhancement:

   • test_cache.py: Comprehensive cache module tests
   • test_token_tracker.py: Token tracking tests with edge cases

2. LLM Semantic Caching:

   • semantic_cache.py: Similarity-based caching to reduce API calls
   • Support for configurable similarity threshold

3. Database Optimization:

   • 002_add_indexes.py: Alembic migration with performance indexes
   • Indexes for agent executions, audit logs, cost tracking

4. Advanced Rate Limiting:

   • rate_limiter.py: Per-endpoint and per-user tier rate limits
   • Sliding window algorithm with Redis support

5. Enhanced Metrics:

   • enhanced_metrics.py: Extended Prometheus metrics
   • Agent performance, LLM provider, cache, and SLA metrics

6. Circuit Breaker Pattern:

   • circuit_breaker.py: Resilient service calls
   • Adaptive retry, connection pooling

7. Security Enhancements:

   • security.py: Password hashing, API key rotation
   • Request signing, IP filtering, security audit logging

8. Enhanced Structured Logging:

   • enhanced_logger.py: Sensitive data masking
   • Log sampling, context propagation, performance profiling

9. TODO Item Resolution:

   • Updated authentication documentation reference

10. Documentation Updates:

    • API_GUIDE.md: Complete API reference
    • aiops-dashboard.json: Grafana monitoring dashboard