production-eval-strategy

To monitor agent behaviors in production, implement a production evaluation stack with streaming sampling, asynchronous evaluation workers, and observability dashboards to detect regressions economically and safely.

An asynchronous evaluation pipeline queues sampled production traffic for background processing against evaluator suites, enabling continuous quality monitoring without blocking live agent responses.

Cost-aware sampling for production agent evaluation uses budget controls to selectively route traffic to evaluator pipelines, balancing regression detection accuracy with operational costs.

Yes, cross-version comparisons are supported by establishing baseline management and running regression detectors against the sampled outputs to quantify behavioral differences.

A production eval stack requires sampling strategies, async workers, evaluator suites, baseline management, regression detectors, and budget controls to quantify agent value and safety.