chore: update OpenAPI spec from monorepo

.speakeasy/in.openapi.yaml

@@ -15339,12 +15339,30 @@ components:
             - 'opaque'
           example: 'auto'
           type: 'string'
+        frame_count:
+          description: 'Number of animation frames (2-64) when `output_format` is `gif`. Only honored by models that produce animations (OpenAI gpt-image-2.6, generations only); ignored otherwise.'
+          example: 8
+          type: 'integer'
+        frame_duration_ms:
+          description: 'Display time of each animation frame in milliseconds (20-2000) when `output_format` is `gif`. Ignored by models that do not produce animations.'
+          example: 100
+          type: 'integer'
         input_references:
           description: 'Reference images to guide image-to-image generation, as base64 data URLs or HTTP(S) URLs.'
           items:
             $ref: '#/components/schemas/ContentPartImage'
           maxItems: 16
           type: 'array'
+        markup:
+          allOf:
+            - $ref: '#/components/schemas/ContentPartImage'
+            - properties: {}
+              type: 'object'
+          description: 'A transparent PNG overlay (arrows, circles, annotations) with the same dimensions as the first reference image, as a base64 data URL or HTTP(S) URL, guiding where an edit applies. Image-to-image requests only; honored by models with markup-guided editing (OpenAI gpt-image-2.6) and ignored otherwise.'
+          example:
+            image_url:
+              url: 'https://example.com/image.png'
+            type: 'image_url'
         model:
           description: 'The image generation model to use'
           example: 'bytedance-seed/seedream-4.5'
@@ -15358,12 +15376,13 @@ components:
           example: 100
           type: 'integer'
         output_format:
-          description: 'Encoding of the returned image bytes. Most models produce raster formats (png, jpeg, webp). SVG is supported by vectorization models (e.g. Quiver) — the SVG markup is UTF-8 base64-encoded in `b64_json`.'
+          description: 'Encoding of the returned image bytes. Most models produce raster formats (png, jpeg, webp). SVG is supported by vectorization models (e.g. Quiver) — the SVG markup is UTF-8 base64-encoded in `b64_json`. GIF produces an animation on models that support it (OpenAI gpt-image-2.6; see `frame_count`).'
           enum:
             - 'png'
             - 'jpeg'
             - 'webp'
             - 'svg'
+            - 'gif'
           example: 'png'
           type: 'string'
         prompt: