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πŸ“Š Enhanced Health Monitoring for LangGraph AssistantsΒ #25

@dokterbob

Description

@dokterbob

πŸ“‹ Overview

Implement comprehensive health monitoring system to provide detailed monitoring of LangGraph graph compilation status and performance metrics.

🎯 Tasks

  • Add individual graph health checks (compilation status)
  • Monitor graph execution performance and memory usage
  • Add detailed health check endpoint with graph status
  • Implement automatic graph recompilation on failures
  • Add metrics for graph invocation count and success rate
  • Create dashboard-friendly health check response format
  • Add alerting for graph compilation failures

πŸ”§ Health Check Response Format

```json
{
"status": "healthy",
"graphs": {
"chatbot": {
"status": "healthy",
"compiledAt": "2024-01-01T00:00:00Z",
"invocations": 150,
"avgResponseTime": "1.2s"
},
"code-assistant": {
"status": "healthy",
"compiledAt": "2024-01-01T00:00:00Z",
"invocations": 75,
"avgResponseTime": "2.1s"
}
},
"memory": {"usage": "250MB", "limit": "1GB"},
"performance": {"avgResponseTime": "1.2s", "p95ResponseTime": "3.1s"}
}
```

βœ… Acceptance Criteria

  • /health endpoint provides detailed graph status
  • Individual graph health can be checked via /health/{graph_id}
  • Performance metrics are tracked and exposed
  • Failed graphs automatically attempt recompilation
  • Health checks work in both development and production
  • Metrics are compatible with monitoring systems (Prometheus, etc.)

πŸ“Š Priority

Medium - Important for production monitoring

Phase: 5 - Production Optimization

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