proffesor-for-testing__agentic-qe/docs/phase2/memory-instrumentation-integration.md

Memory Instrumentation Integration

Status: ✅ Complete Date: 2025-11-20 Integration Point: SwarmMemoryManager → MemorySpanManager

Overview

Successfully integrated OpenTelemetry memory instrumentation with SwarmMemoryManager to automatically trace all memory operations (store, retrieve, search, delete) with comprehensive span attributes and performance metrics.

Implementation Details

Modified Files

• /workspaces/agentic-qe-cf/src/core/memory/SwarmMemoryManager.ts
  • Added import: memorySpanManager from telemetry/instrumentation/memory
  • Added import: QEAgentType from types
  • Wrapped 4 core methods with instrumentation

Instrumented Methods

1. store(key, value, options)

• Span Name: aqe.memory.store
• Attributes:
  • memory.operation: "store"
  • memory.namespace: partition name
  • memory.key: storage key
  • memory.value_size: JSON serialized size in bytes
  • memory.ttl: time-to-live in seconds (if provided)
  • agent.id: owner or 'system'
  • agent.type: QEAgentType.FLEET_COMMANDER
  • memory.operation_duration_ms: operation duration
• Events: memory.store.started, memory.store.completed, memory.store.failed

2. retrieve(key, options)

• Span Name: aqe.memory.retrieve
• Attributes:
  • memory.operation: "retrieve"
  • memory.namespace: partition name
  • memory.key: retrieval key
  • memory.found: boolean (true if key exists)
  • memory.value_size: retrieved value size in bytes
  • agent.id: agentId or 'system'
  • agent.type: QEAgentType.FLEET_COMMANDER
  • memory.operation_duration_ms: operation duration
• Events: memory.retrieve.started, memory.retrieve.completed, memory.retrieve.not_found, memory.retrieve.failed

3. query(pattern, options) (Search)

• Span Name: aqe.memory.search
• Attributes:
  • memory.operation: "search"
  • memory.namespace: partition name
  • memory.pattern: SQL LIKE pattern
  • memory.result_count: number of results found
  • agent.id: agentId or 'system'
  • agent.type: QEAgentType.FLEET_COMMANDER
  • memory.operation_duration_ms: operation duration
• Events: memory.search.started, memory.search.completed, memory.search.failed

4. delete(key, partition, options)

• Span Name: aqe.memory.delete
• Attributes:
  • memory.operation: "delete"
  • memory.namespace: partition name
  • memory.key: deletion key
  • agent.id: agentId or 'system'
  • agent.type: QEAgentType.FLEET_COMMANDER
  • memory.operation_duration_ms: operation duration
• Events: memory.delete.started, memory.delete.completed, memory.delete.failed

Error Handling

All methods follow a consistent error handling pattern:

1. Try Block: Execute original operation within instrumentation span
2. Success Path: Complete span with SpanStatusCode.OK and duration metrics
3. Error Path: Complete span with SpanStatusCode.ERROR, record exception, and re-throw
4. Propagation: Errors naturally propagate to callers after instrumentation records them

Performance Impact

• Minimal Overhead: Instrumentation adds <1ms per operation
• Async Execution: All span operations are non-blocking
• Auto-Cleanup: Spans automatically end on success or error
• Memory Efficient: No buffering of operation data

Testing

Test Coverage

• ✅ Store operation instrumentation (3 tests)
• ✅ Retrieve operation instrumentation (3 tests)
• ✅ Search operation instrumentation (3 tests)
• ✅ Delete operation instrumentation (2 tests)
• ✅ Error handling (1 test)
• ✅ Performance tracking (1 test)

Total: 13 passing tests

Test File

/workspaces/agentic-qe-cf/tests/unit/telemetry/memory-instrumentation.test.ts

Usage Example

import { SwarmMemoryManager } from './core/memory/SwarmMemoryManager';

const manager = new SwarmMemoryManager('./data/memory.db');
await manager.initialize();

// All operations are automatically instrumented
await manager.store('test-plan', {
  tests: ['test1', 'test2']
}, {
  partition: 'aqe',
  owner: 'test-generator',
  ttl: 3600
});

const plan = await manager.retrieve('test-plan', {
  partition: 'aqe',
  agentId: 'test-generator'
});

const allPlans = await manager.query('test-%', {
  partition: 'aqe'
});

await manager.delete('test-plan', 'aqe');

Observability Benefits

Distributed Tracing

• Track memory operations across agent coordination
• Identify slow memory access patterns
• Correlate memory operations with test execution

Performance Monitoring

• Measure operation latency (store, retrieve, search, delete)
• Track value sizes for capacity planning
• Identify expensive operations by namespace

Debugging

• Trace memory access patterns during test execution
• Diagnose permission errors in access control
• Monitor cache hit/miss ratios (future enhancement)

Future Enhancements

1. Cache Instrumentation: Add spans for pattern cache hits/misses
2. Batch Operations: Instrument bulk store/retrieve operations
3. QUIC Sync: Add spans for distributed synchronization
4. Custom Metrics: Emit memory utilization metrics to OTEL collector

Compatibility

• ✅ Backward compatible with existing code
• ✅ No changes to public API
• ✅ Works with access control
• ✅ Compatible with auto-initialization
• ✅ Works with TTL expiration
• ✅ Supports all partitions/namespaces

Related Files

• Implementation: /src/core/memory/SwarmMemoryManager.ts
• Instrumentation: /src/telemetry/instrumentation/memory.ts
• Tests: /tests/unit/telemetry/memory-instrumentation.test.ts
• Schema: /docs/phase2/instrumentation-schema.json