AI observability dashboards

    Dashboards tracking latency, token cost, evaluation scores, and drift for production LLM and agent systems.

    Muhammad Zeeshan

    Technologies Used

    Python
    FastAPI
    React
    MLflow
    Prometheus

    Key Features

    1

    Request-level latency and cost tracking

    2

    Eval score trends and regression alerts

    3

    Model and prompt version comparison

    Implementation

    Instrumented inference paths with structured telemetry, aggregating traces into operator views for SLO and quality monitoring.

    Results & Impact

    Gave teams actionable visibility into AI spend, reliability, and quality, not just raw API logs.