signalAI热榜2026-09-30
OpenRouter Tutorial: How to Run Regression Tests on AI Agents After Prompt or Model Changes
OpenRouter published a regression testing guide for AI agents: after any change to prompts, models, tool definitions, or retrieval settings, re-run a locked set of test cases and compare against a written behavior contract. The guide details locking test cases, defining behavior contracts, fixing concrete model slugs instead of aliases, and comparing model replacements. It provides reusable steps and examples in curl and Python.
- for who
- Developers building AI agents with OpenRouter who need to ensure reliability after prompt or model changes.
- why now
- New OpenRouter guide: pin model slugs to avoid silent regression from alias drift.
- what changes
- They can detect regressions caused by model or prompt changes with a defensible, reproducible testing process.
- to do
- Lock a representative set of test cases, write structural assertions and hard invariants for each, and use concrete model slugs for reproducible comparisons.
key points
- Rerun locked cases after any prompt, model, tool, or retrieval change
- Use concrete model slugs instead of aliases for reproducible tests
- Hard invariants like no refund over $500 without human escalate
#ai agent#regression testing#openrouter#testing methods
score
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