aiqbench analysis
This article addresses the critical challenge of maintaining reproducibility in AI agent development by advocating for concrete model slugs over dynamic aliases during regression testing. It outlines a workflow where behavioral contracts focus on structural assertions—such as tool calls and policy adherence—rather than brittle text diffs, ensuring reliable evaluation when prompts or underlying models change.
AI Agent Regression Testing After a Prompt or Model Change

An agent's behavior can change when you edit a prompt, swap a model, change a tool schema, or change what retrieval returns. This guide covers the locked case set, the per-case behavioral contract, and how to run the same suite against two concrete model slugs through OpenRouter so the diff shows what the change did.
A ~author/family-latest alias always resolves to the newest concrete model in a family. That’s convenient in production and a problem in a regression test, because the model can change between runs without any change in your repository. Our latest model resolution docs describe the mechanism and recommend a concrete model slug when you need a fixed version for reproducibility. This guide covers the locked case set and the behavioral contract, then the model-swap case in detail. Regression testing an agent means re-running a locked set of cases every time a prompt, model, tool definition, or retrieval setting changes, then checking the result against a written behavioral contract. Each case carries a structural assertion about which tools the agent called with which arguments, and, where a policy exists, a hard invariant the agent must never break. Lock the case set. Every time you reword a case, you break comparability with every run that came before it. For a model swap, hold the prompt, tools, cases, judge, and inference parameters still and vary only the model. Use a concrete slug such as anthropic/claude-fable-5.1 rather than an alias that resolves to whichever version shipped most recently. Read the baseline column before the candidate…
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