{
  "id": 5077709,
  "title": "Before I Call GPT Image 2, I Validate These 7 Things",
  "url": "https://urgent.news/2026/09/02/before-i-call-gpt-image-2-i-validate-these-7-things",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-02T11:45:32.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/_86f41ebeb2cab43917bd42/before-i-call-gpt-image-2-i-validate-these-7-things-3f6h"
  },
  "original_language": "en",
  "account": "In the process of utilizing the GPT Image 2 API, it is essential to validate several key factors before initiating the generation request. The author of this story emphasizes the importance of adhering to these seven preflight checks to ensure the correct and intended output.\n\nFirstly, the selection of the appropriate contract before rendering the form is crucial. The application should not generate a generic form that allows every visible field to be submitted to every image model. Instead, it should first choose the correct model contract, such as gpt-image-2, and make sure the application only generates the necessary fields based on that contract. Any unsupported fields should not be silently removed or dropped, as this can lead to uncontrolled outputs and misguided blame on the model.\n\nSecondly, the explicit rejection of unknown fields is vital. Instead of silently removing unsupported fields, the backend should explicitly note them as errors to avoid any confusion or unintended consequences. This practice prevents the user from experiencing a default setting, using an arbitrary default, and subsequently criticizing the model for its performance.\n\nThirdly, a single decision regarding the dimension of the image should be made. An image form may offer various options like ratio, pixel size, provider-specific size field, and orientation derived from the prompt. However, it is essential to restrict the user to one supported decision, such as choosing either the size or the aspect ratio, but not both. The orientation should be stored alongside the output for QA verification purposes.\n\nFourthly, a reference image should be treated as a rights record rather than just a URL. The author emphasizes the importance of storing product identity and allowed transformations, such as background, surface, lighting direction, and other changes. This information is crucial for ensuring proper usage rights and avoiding copyright infringement.\n\nFifthly, the author stresses the importance of separating retries from new generations. When a client experiences a timeout, it may not be clear whether the server failed before or after generation. To avoid creating additional billable tasks, the author persistently records key information before submission, including generation ID, intent, request hash, state, attempt number, result state, and the next action to be taken.\n\nIn conclusion, by following these seven preflight checks, developers and users alike can ensure that their requests to the GPT Image 2 API are valid, intended, and properly managed. This workflow highlights the significance of thoughtful validation and error handling to maintain the integrity and accuracy of the generated images.",
  "summary": "I used to debug a bad AI product image by rewriting the prompt. Now I check the request contract first. A GPT Image 2 API request can be valid JSON and still be wrong for the selected model. A generic UI can leak a field from another provider. Two dimension controls can conflict. A timeout can turn one intended image into two generations. A technically successful output can still change the…",
  "key_points": [
    "Select appropriate contract before rendering form",
    "Explicitly reject unknown fields, note as errors",
    "Restrict to single decision on image dimension"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}