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Get Current ODI Metrics

GET
/api/system/monitoring/odi/metrics

Retrieve current ODI metrics snapshot with cognitive density scores

Responses

Section titled “ Responses ”

200

Section titled “200 ”

Successful Response

ODIMetrics

Orchestrated Distributed Intelligence performance metrics.

Comprehensive ODI metrics tracking system performance, agent collaboration, learning efficiency, and human-AI interaction patterns for distributed intelligence monitoring and optimization.

Fields:

  • agent_collaboration_score: Cross-agent consultation rate per workflow (0.0-1.0)
  • consultation_response_time: Average agent consultation latency in seconds (non-negative)
  • learning_cycle_latency: Time from failure to learned pattern application in seconds (non-negative)
  • pattern_recognition_accuracy: Percentage of predicted issues that occurred (0.0-1.0)
  • startup_optimization_rate: Startup time improvement via Startup Intelligence (0.0-1.0)
  • crash_recovery_success_rate: Auto-recovery success rate by MIME (0.0-1.0)
  • user_override_rate: User override frequency for AI suggestions (0.0-1.0)
  • timestamp: Metric collection timestamp (ISO 8601 datetime)

Usage: GET /api/monitoring/odi/metrics returns this response model for ODI dashboard integration, real-time metrics visualization, and performance monitoring.

JSON Example:

{
  "agentCollaborationScore": 0.75,
  "consultationResponseTime": 2.5,
  "learningCycleLatency": 180.0,
  "patternRecognitionAccuracy": 0.85,
  "startupOptimizationRate": 0.30,
  "crashRecoverySuccessRate": 0.95,
  "userOverrideRate": 0.10,
  "timestamp": "2025-01-30T10:00:00Z"
}
object
agentCollaborationScore
required
Agentcollaborationscore

Cross-agent consultation rate per workflow (0.0-1.0)

number
<= 1
consultationResponseTime
required
Consultationresponsetime

Average agent consultation response time in seconds

number
learningCycleLatency
required
Learningcyclelatency

Time from failure to learned pattern application in seconds

number
patternRecognitionAccuracy
required
Patternrecognitionaccuracy

Percentage of predicted issues that actually occurred (0.0-1.0)

number
<= 1
startupOptimizationRate
required
Startupoptimizationrate

Startup time improvement via Startup Intelligence (0.0-1.0)

number
<= 1
crashRecoverySuccessRate
required
Crashrecoverysuccessrate

Percentage of crashes auto-recovered by MIME (0.0-1.0)

number
<= 1
userOverrideRate
required
Useroverriderate

Frequency of user overriding AI suggestions (0.0-1.0)

number
<= 1
timestamp
Timestamp

Timestamp when metrics were collected

string format: date-time