Скачать или смотреть Day 29: Project 2 Review: Accuracy & Latency

Today’s Build

We construct a production-grade evaluation framework that measures:
Tool Call Reliability: Unit tests validating tool execution accuracy, parameter parsing, and error handling across 50+ test cases
RAG Groundedness: Automated verification comparing agent responses against source documents using semantic similarity and fact extraction
System Latency Profiling: Millisecond-precision tracking of retrieval, tool execution, and LLM inference time with P50/P95/P99 percentiles

Real-Time Dashboard: React UI displaying test results, accuracy metrics, latency distributions, and failure analysis
Regression Testing: Automated suite detecting performance degradation between builds

This builds directly on L28’s tool-equipped agent by adding the testing infrastructure enterprises demand before production deployment. Without rigorous evaluation, you’re flying blind—Netflix doesn’t ship recommendation systems without A/B testing, and you shouldn’t deploy RAG agents without accuracy validation.

We create the foundation for L30’s observability layer by establishing baseline metrics and testing patterns that will integrate with distributed tracing.