Microsoft Foundry guide combines continuous evaluation with reviewed agent releases
Microsoft’s new implementation guide describes a closed-loop process for improving production agents with measured release gates.
Continuous evaluations and Application Insights identify quality, tool-use, latency or cost issues; reviewed trace datasets then support Agent Optimizer experiments.
Candidate changes pass through engineering review, a held-out regression suite and controlled canary routing before promotion. Application teams must supply the sandboxed tool harness, verified outcome labels and release automation.
The guide separates backend outages and changed evaluation rubrics from agent-configuration problems and keeps tests isolated from live transactional systems. It is a workflow to implement, not automatic proof that an optimized agent is safe or improved.
Partner briefing
- What it is
An implementation pattern for measured agent improvement.
- What’s changing
Monitoring, reviewed datasets, optimization and release gates form a continuous loop.
- Why it matters
Requires evidence and regression checks before production promotion.
- Who it affects
Foundry developers, platform engineers and partners operating production agents.