Title: Discussion 4 — Catching What the Compatibility Layer Won't Tell You
Course: AIINFRA 300: Agentic AI & the Model Context Protocol (MCP) > Section: Week 04 — OpenAI, Claude, and Multi-Provider API Integration

💬 Discussion 4 — Catching What the Compatibility Layer Won't Tell You (20 pts)

If a compatibility layer silently drops features like strict schema enforcement — rather than raising an error — how would you design a testing strategy that catches that gap before it reaches production? In your initial post (150+ words), address at least two of the following:

- What specific automated test(s) could catch a silently-clamped temperature value or an ignored strict tool-calling flag before a deploy ships?
- Would you rely on unit tests, integration tests against a live API, contract tests, or manual code review — and why is that the right layer of defense for this specific kind of failure (a request that succeeds but doesn't do what you asked)?
- How might your team's monitoring or logging need to change to catch this class of bug in production, after it's already shipped?

Respond to at least two classmates, ideally engaging with a testing approach different from the one you proposed.