You need a repeatable way for domain experts to score multi-agent r…

Question

You need a repeatable way for domain experts to score multi-agent runs in Microsoft Foundry before promoting a new orchestrator version. Automated metrics exist but miss subtle policy tone issues. What should you design?

Accepted Answer

Implement a human review process in Foundry that samples production-like traces, presents agent inputs/outputs and tool calls to reviewers with structured rubrics, and gates release on aggregate human scores plus automated checks — D is the evaluation strategy you want. Foundry-oriented multi-agent ops pair automated evals with human review for qualities models miss—tone, policy nuance, harmful helpfulness. Sample representative traces, show reviewers the full agent path (prompts, tools, outputs), score with rubrics, and require human + auto gates before promotion. Token dashboards alone are not quality. Customer complaints as sole signal is too late. Turning off tracing blinds both humans and machines. Design human review as a first-class evaluation loop.

Answer

Rely solely on token-count dashboards and never involve humans after initial development

Answer

Promote every orchestrator change directly to production and use customer complaints as the only evaluation signal

Answer

Disable tracing to reduce cost during evaluation periods

You need a repeatable way for domain experts to score multi-agent runs in Microsoft Foundry before promoting a new orchestrator version. Automated metrics exist but miss subtle policy tone issues. What should you design?

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