Let the image-based validations use an image style to reduce tokens
>>> [!note] Migrated issue
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Reported by: [marcus_johansson](https://www.drupal.org/user/385947)
Related to !9
>>>
<h2>Problem/Motivation</h2>
<p>All three image-based field validation rules — <strong>AI image constraint</strong> (<code>AiImageConstraintValidator</code>, vision chat), <strong>AI image classification constraint</strong> (<code>AiImageClassificationConstraintValidator</code>) and <strong>AI object detection constraint</strong> (<code>AiObjectDetectionConstraintValidator</code>) — send the <em>full-size original</em> upload to the provider. Each loads the <code>File</code> and wraps it unchanged with <code>$image->setFileFromFile($file)</code>.</p>
<p>For the vision-chat rule that is wasteful: most vision models bill image input as tokens proportional to the image's dimensions, so a multi-megapixel upload costs many times more tokens than is needed to answer a yes/no validation question. For the classification and object-detection rules a full-size original means a larger payload, slower requests and, on hosted providers, higher cost — even though the model rarely needs the original resolution. Drupal already ships the tool to fix this: <strong>image styles</strong> produce a downscaled derivative.</p>
<h2>Proposed resolution</h2>
<p>Add an optional <strong>Image style</strong> setting to each of the three image rules. When a style is selected, the validator runs the upload through that image style and sends the <em>derivative</em> to the provider instead of the original; when left empty it falls back to the original (current behaviour), so the change is fully backward compatible.</p>
<h2>Implementation</h2>
<p>Mirror the change across the three rule/validator pairs.</p>
<p><strong>1. Rule plugins</strong> — in <code>AiImageConstraintFieldValidationRule</code>, <code>AiImageClassificationConstraintFieldValidationRule</code> and <code>AiObjectDetectionConstraintFieldValidationRule</code>: add <code>'image_style' => NULL</code> to <code>defaultConfiguration()</code>, add a <code>select</code> element in <code>buildConfigurationForm()</code> populated by <code>\Drupal\image\Entity\ImageStyle::loadMultiple()</code> (with an empty <em>"— Original —"</em> option), and persist it in <code>submitConfigurationForm()</code>. Expose the value on the constraint so the validator can read <code>$constraint->image_style</code>.</p>
<p><strong>2. Validators</strong> — after the <code>File</code> is loaded and before building the <code>ImageFile</code>, branch on the configured style:<br><code>$image = new ImageFile();</code><br>if a style id is set, load it, compute <code>$uri = $style->buildUri($file->getFileUri());</code>, create the derivative when missing with <code>$style->createDerivative($file->getFileUri(), $uri);</code> and feed it in with <code>$image->setFileFromUri($uri);</code> — otherwise keep <code>$image->setFileFromFile($file);</code>. <code>AbstractFileBase</code> already provides <code>setFileFromUri()</code>, so no new AI-core API is needed.</p>
<p><strong>Files to touch:</strong> <em>src/Plugin/FieldValidationRule/AiImageConstraintFieldValidationRule.php</em>, <em>src/Plugin/FieldValidationRule/AiImageClassificationConstraintFieldValidationRule.php</em>, <em>src/Plugin/FieldValidationRule/AiObjectDetectionConstraintFieldValidationRule.php</em>, <em>src/Plugin/Validation/Constraint/AiImageConstraintValidator.php</em>, <em>src/Plugin/Validation/Constraint/AiImageClassificationConstraintValidator.php</em>, <em>src/Plugin/Validation/Constraint/AiObjectDetectionConstraintValidator.php</em> (plus the matching <code>*Constraint.php</code> classes to declare the new public property).</p>
<h2>Notes</h2>
<p>Image styles only apply to raster derivatives — guard against failure and fall back to the original when <code>createDerivative()</code> returns <em>FALSE</em> (e.g. SVG or an unsupported MIME type) so validation never hard-fails on a derivative problem. The token saving is most pronounced for the vision-chat <strong>AI image constraint</strong>, where input tokens scale with image dimensions, but reduced upload size benefits the classification and detection rules too. Recommend a sensible downscale (for example a ~1024px-bounded style) as guidance in the field description, and add the selected style as a config dependency of the field so exports stay consistent.</p>
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