Changing a prompt can alter tool selection even when ordinary chat examples still look correct. Treat prompts, model settings and retrieval rules as deployable artifacts with review history. https://ai-software-development.net

Before wider exposure, compare the candidate against a fixed evaluation set and inspect failures by workflow. An <a href=https://ai-software-development.net>LLMOps release process</a> should block promotion when a protected behavior regresses, even if the average score improves.

An <a href="https://ai-software-development.net">AI deployment workflow</a> needs a tested rollback path for application code and model configuration. Compatibility matters during a partial rollback. An older prompt may depend on a tool schema that a newer application no longer provides.

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