Agentic AI Reference Architecture

Observability & Evaluation · Data artifact

Unit Test Suite

Data artifactObservability & EvaluationObservability & Evaluationarc:UnitTestSuite

A set of fast tests validating individual tool functions in isolation with external APIs, databases and memory backends mocked, without invoking LLM reasoning.

Responsibility. Specifies isolated correctness checks for tool logic.

Also known as: Tool unit tests

is read byis read byAgent Test Runner: is read byAgent Test RunnerTest-Based Vote Aggregator: is read byTest-Based Vote Aggregator
Direct neighbourhood (hover for relationship types)

Relationships

is read by dependency

Classification

Patterns
Dependency mocking
Quality attributes
Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)
Risks mitigated
Logic errors in tools

Sources

  1. Ch4.2: T. Nguyen, "Deployment and Scaling," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.2. ISBN: 9798244538229.
  2. Ch5.3: T. Nguyen, "Self-Consistency Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.3. ISBN: 9798244538229.