How to Build a Prompt-Safety Eval Before Picking a Text-to-Image API

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A software developer argues that choosing a text-to-image API should follow a structured prompt-safety evaluation rather than relying on image quality alone. The recommended approach uses a chat model constrained by a strict JSON Schema to classify user prompts into three outcomes — allow, block, or review — before any image generation call is made. Key metrics include unsafe-prompt recall, false block rate, schema-valid response rate, latency, and token cost on the moderation step. The author warns that treating an assumed JSON key as a guaranteed contract caused nearly an hour of wasted debugging, leading to schema validity being tracked as its own separate metric. This preflight moderation pattern suits user-generated-content platforms where policy control is critical, but is not recommended for applications where response speed cannot absorb an extra API call.

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