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Test

As explained in Building Reliable AI Systems

Testing is the systematic execution of queries or other inputs to assess a software system's behavior and identify defects.

A multi-agent workflow needs coordination checks, not just tests of individual agents. Validate routing, shared context, and graceful behavior when components fail. section 8.4

Check the workflow against scenarios that expose coordination problems:

  • Blended queries and ambiguous intent. section 8.4
  • Component failures and continuity of shared state. section 8.4

How Building Reliable AI Systems covers it

How deep it goes
Prioritizes coordination checks across blended queries, ambiguous intent, failures, and state continuity.
Examples
Uses blended queries, ambiguous intent, component failures, and state continuity as test scenarios.
What you can do after
Evaluate multi-agent workflows by checking coordination, failure handling, and state continuity.
How it connects
Links testing to multi-agent systems, conditional routing, state management, and agent failure resilience.

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This explainer was generated by Manning's knowledge graph from the text of Building Reliable AI Systems. The section links point to the parts of the book it draws on.