Agentic System Cost and Latency Instrumentation System
(Redirected from AI System Cost Monitoring)
Jump to navigation
Jump to search
An Agentic System Cost and Latency Instrumentation System is an observability system that measures time-to-first-token, total latency, and operational cost for agentic system performance monitoring.
- AKA: Agent Performance Instrumentation, AI System Cost Monitoring, Latency Tracking System, Agent Metrics Collection System.
- Context:
- It can typically track time-to-first-token (TTFT) for streaming response systems with millisecond precision.
- It can typically measure end-to-end latency including retrieval time, processing duration, and generation delay.
- It can typically calculate cost per task based on token consumption, API calls, and compute resource usage.
- It can often provide real-time dashboards with performance visualization and anomaly detection.
- It can often support cost attribution across user segments, feature types, and deployment regions.
- It can often enable performance optimization through bottleneck identification and resource allocation tuning.
- It can range from being a Basic Instrumentation System to being a Comprehensive Instrumentation System, depending on its metric coverage.
- It can range from being a Passive Monitoring System to being an Active Instrumentation System, depending on its data collection method.
- It can range from being a Sampled Instrumentation System to being a Full Instrumentation System, depending on its collection rate.
- It can range from being a Single-Service System to being a Distributed Tracing System, depending on its architectural scope.
- ...
- Examples:
- LLM Cost Instrumentation Systems, such as:
- Token Usage Monitor tracking prompt tokens and completion tokens.
- Model Routing Cost Tracker measuring inference endpoint expenses.
- RAG System Instrumentations, such as:
- Retrieval Latency Monitor measuring vector search time and reranking duration.
- Document Processing Cost Tracker calculating embedding generation expense.
- Multi-Agent Instrumentation Systems, such as:
- ...
- LLM Cost Instrumentation Systems, such as:
- Counter-Examples:
- Functional Monitoring System, which tracks correctness rather than performance metrics.
- Security Monitoring System, which focuses on threat detection rather than cost efficiency.
- Manual Performance Review, which lacks automated instrumentation.
- See: Observability System, Performance Monitoring, Cost Management System, Latency Measurement, Agentic System Progression Testing Task, APM System, Distributed Tracing.