AQuA is a framework for diagnosing agent behavior by analyzing production telemetry via Cloud Trace, Logging, or BigQuery. It functions as an ambient quality agent that monitors live sessions to identify silent failure patterns and attribute them to specific code revisions or upstream data sources. The system operates outside the request path and generates actionable, code-anchored insights for human review.
This is worth implementing if you are struggling to manage the drift between your static evaluation datasets and live user traffic. It is not a silver bullet for deployment, as it requires you to write domain-specific goal files and deterministic metrics to be effective. Expect to spend significant time tuning the evaluation prompts before the insights become truly reliable.
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