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Intelligent Routing for Specialized AI Model Portfolios

Design governance, evaluation, and orchestration systems that route tasks across heterogeneous AI models while balancing cost, latency, and reliability.

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7. Observability and Telemetry

Routing intelligence requires deep visibility.

Key Telemetry Streams#

  • Decision Logs: selected models, policy versions, and constraint evaluations.
  • Outcome Metrics: satisfaction scores, error rates, manual escalations, correction submissions.
  • Cost Metrics: per-request spend, aggregate usage by model, cost per successful completion.
  • Drift Indicators: divergence between expected and observed performance, concept drift in inputs.

Instrument dashboards for operations, product managers, and risk officers. Provide alerting thresholds for abnormal trends, such as sudden satisfaction drops or escalating costs.

Closed-Loop Feedback#

  • Capture user ratings or implicit satisfaction signals (follow-up questions, abandonment).
  • Feed feedback into evaluation pipelines to refine policies.
  • Run A/B experiments with alternative routing configurations to validate improvements.
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