{"ts": "2026-07-15T22:18:26.305059+00:00", "type": "system_prompt", "text": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."}
{"ts": "2026-07-15T22:18:26.306067+00:00", "type": "user", "text": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"}
{"ts": "2026-07-15T22:18:49.382829+00:00", "type": "llm_call", "call_index": 1, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T22:18:26.306067+00:00", "finished_at": "2026-07-15T22:18:49.382829+00:00", "duration_s": 23.062000000005355, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T22:18:26.306067+00:00", "finished_at": "2026-07-15T22:18:49.381323+00:00", "duration_s": 23.062000000005355, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "23456", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\\n\\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\\n\\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\\n\\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\\n\\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\\n\\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\\n\\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\\n\\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\\n\\n</task>\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 22:18:27 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784153906-0pJfhFBUJGfLsSdDUlbF", "access-control-expose-headers": "X-Generation-Id,X-Provider-Name,cf-ray", "set-cookie": "[REDACTED]", "permissions-policy": "payment=(self \"https://checkout.stripe.com\" \"https://connect-js.stripe.com\" \"https://js.stripe.com\" \"https://*.js.stripe.com\" \"https://hooks.stripe.com\")", "referrer-policy": "no-referrer, strict-origin-when-cross-origin", "x-content-type-options": "nosniff", "content-encoding": "gzip", "server": "cloudflare", "cf-ray": "a1bc249dbb100284-MAD"}, "body": "\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n{\"id\":\"gen-1784153906-0pJfhFBUJGfLsSdDUlbF\",\"object\":\"chat.completion\",\"created\":1784153907,\"model\":\"openai/gpt-5.6-luna\",\"provider\":\"OpenAI\",\"system_fingerprint\":null,\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"completed\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"**Planning a Python scene**\\n\\nI think I need to build something using Python, possibly involving meshes or metaballs because it’s empty right now. My goal is to create a stylized corgi using UV spheres for the body, legs, ears, and an open mouth. I could also use colored UV sphere segments for the panels, utilizing material nodes to create a visually appealing effect.\\n\\nI want to create the scene with primitives, set up a camera, and consider elements like hair tufts and a sand plane. I'll script some helper functions to ensure proper object placement and orientation, with given coordinates for the corgi and ball.**Designing the dog scene**\\n\\nI'm focusing on creating the dog scene, starting with the view from the front side and adjusting the camera position accordingly. For the dog's materials, I plan to use a tan color for the main body, with a white chest and blaze, and white socks for the legs. \\n\\nI’ll give the ears an upright shape using cone vertices, craft the muzzle with spheres, and detail the features like a black nose and an open mouth with a tongue. \\n\\nThe ball will have various colored segments, and I’ll consider adding textures for sand and crafting a towel plane with blue stripes. I'll approach the coding in chunks to keep things organized.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\n# materials\\\\ndef mat(name,color,rough=.45,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\\\n# helpers\\\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\\\n# ground\\\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\\\n# sea strip/background\\\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\\\n# dog body airborne\\\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\\\n# saddle overlay and white chest\\\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\\\n# neck/head\\\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\\\n# blaze on camera side\\\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\\\n# muzzle and nose\\\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\\\n# mouth dark open below muzzle\\\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\\\n# eyes visible near side and far\\\\nfor y in (-.43,.34):\\\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\\\n# ears triangular, swept back along -x, cones 3 verts\\\\nfor y in (-.3,.27):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\\\n# legs reaching forward and hind trailing\\\\n# front legs from chest toward ball (+x), angled down\\\\nfor y in (-.42,.34):\\\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\\\n# hind legs trail back, tan upper / white socks\\\\nfor y in (-.4,.34):\\\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\\\n# tail fluffy raised\\\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\\\n# ball with panel material by longitude\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\\\nfor p in ball.data.polygons:\\\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\\\nbpy.ops.object.shade_smooth()\\\\n# seam rings crossing sphere\\\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\\\n# cap and valve\\\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\\\n# sand burst cones at launch point\\\\nfor i in range(14):\\\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\\\nfor i in range(22):\\\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\\\n# paw prints\\\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\\\n# towel lifted corner\\\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\\\n# tipped bucket near side\\\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\\\n# sandal tumbling\\\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\\\n# lighting/world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\\\n# render\\\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# save\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.summary\",\"summary\":\"**Planning a Python scene**\\n\\nI think I need to build something using Python, possibly involving meshes or metaballs because it’s empty right now. My goal is to create a stylized corgi using UV spheres for the body, legs, ears, and an open mouth. I could also use colored UV sphere segments for the panels, utilizing material nodes to create a visually appealing effect.\\n\\nI want to create the scene with primitives, set up a camera, and consider elements like hair tufts and a sand plane. I'll script some helper functions to ensure proper object placement and orientation, with given coordinates for the corgi and ball.**Designing the dog scene**\\n\\nI'm focusing on creating the dog scene, starting with the view from the front side and adjusting the camera position accordingly. For the dog's materials, I plan to use a tan color for the main body, with a white chest and blaze, and white socks for the legs. \\n\\nI’ll give the ears an upright shape using cone vertices, craft the muzzle with spheres, and detail the features like a black nose and an open mouth with a tongue. \\n\\nThe ball will have various colored segments, and I’ll consider adding textures for sand and crafting a towel plane with blue stripes. 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{"id":"gen-1784153906-0pJfhFBUJGfLsSdDUlbF","object":"chat.completion","created":1784153907,"model":"openai/gpt-5.6-luna","provider":"OpenAI","system_fingerprint":null,"service_tier":"default","choices":[{"index":0,"logprobs":null,"finish_reason":"tool_calls","native_finish_reason":"completed","message":{"role":"assistant","content":null,"refusal":null,"reasoning":"**Planning a Python scene**\n\nI think I need to build something using Python, possibly involving meshes or metaballs because it’s empty right now. My goal is to create a stylized corgi using UV spheres for the body, legs, ears, and an open mouth. I could also use colored UV sphere segments for the panels, utilizing material nodes to create a visually appealing effect.\n\nI want to create the scene with primitives, set up a camera, and consider elements like hair tufts and a sand plane. I'll script some helper functions to ensure proper object placement and orientation, with given coordinates for the corgi and ball.**Designing the dog scene**\n\nI'm focusing on creating the dog scene, starting with the view from the front side and adjusting the camera position accordingly. For the dog's materials, I plan to use a tan color for the main body, with a white chest and blaze, and white socks for the legs. \n\nI’ll give the ears an upright shape using cone vertices, craft the muzzle with spheres, and detail the features like a black nose and an open mouth with a tongue. \n\nThe ball will have various colored segments, and I’ll consider adding textures for sand and crafting a towel plane with blue stripes. I'll approach the coding in chunks to keep things organized.","tool_calls":[{"type":"function","index":0,"id":"call_39pfK0MnSE4dMd4aW9SjaYC1","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}],"reasoning_details":[{"type":"reasoning.summary","summary":"**Planning a Python scene**\n\nI think I need to build something using Python, possibly involving meshes or metaballs because it’s empty right now. My goal is to create a stylized corgi using UV spheres for the body, legs, ears, and an open mouth. I could also use colored UV sphere segments for the panels, utilizing material nodes to create a visually appealing effect.\n\nI want to create the scene with primitives, set up a camera, and consider elements like hair tufts and a sand plane. I'll script some helper functions to ensure proper object placement and orientation, with given coordinates for the corgi and ball.**Designing the dog scene**\n\nI'm focusing on creating the dog scene, starting with the view from the front side and adjusting the camera position accordingly. For the dog's materials, I plan to use a tan color for the main body, with a white chest and blaze, and white socks for the legs. \n\nI’ll give the ears an upright shape using cone vertices, craft the muzzle with spheres, and detail the features like a black nose and an open mouth with a tongue. \n\nThe ball will have various colored segments, and I’ll consider adding textures for sand and crafting a towel plane with blue stripes. I'll approach the coding in chunks to keep things organized.","format":"openai-responses-v1","index":0},{"type":"reasoning.encrypted","data":"gAAAAABqWAc5xW6kFz-RxweKh1EFerN3mnvI2Yx1A0pUUSt9rHJj3rwFF8B1SOPFnNSHUIA-gWbTM2fFsYbZ5vRPpeZrUAPDQ_LnyzxV5F9-3NOvOPyuvBKgaBpMlRv8REV1OXm6rG32cz7w8mb2W-BosgpjBEuaoDGgGHDLDFWvAAhoiVZ5Kp_epglBni-TS8W6H_3G4sMVDA5RK9UA8JF0CknxlIEDlV-_usMSPidWzyqdteVvfSoNQVOw8yA030P2CDgbkkBjixoJ1q3-mUb2ZgEpoqRgUsGMHuoSouKKeXt81Wg5yTWn65vDF5r53O-79QdDspJ70yp9fHP_fXfBO9lE9GoRlycTxhTKATdJYWs5SxtT200apcO5j1wS8w-6Nuq6Ceq6tklfAdAcLOSaLiqFLXatxj_LcW7VKmiZa7S2KgbxHYNYpP3M4OeUl7sL9TIZFs6eLmMGDwe-JEJLuod2eBLaTfoqB36d6snGrCOG5ilCBGzKyGwMyMCSCpz-NN2uoqSd3RLLJzti3WZ9NwVwudnTu8kh4AJBXy7oqRJ1QGNNboL4Iov7hIYCV-qnW2HV5VR2-YlU5TUWQRQ0pC5JVDd7oWcpKt53UYgpfDglXHiPyvEwa7UnMsw5XzvKdxLFLSr1YIFxNzmnWoHt6GpqE19MDn3s5m1VollHDq7e9L1e3hyQwFaJf3mfHau9tLXeDtmR1HZHHCnzu19cewlfuiSnKrogteX-tUOcadEmSVpTPN5nK9HhqSh5gM_2iL3vmWlCMAnAKr8PeeQ6tiD2h4Y8Bh1YscbGvoDaI31MXdBRgqv5TaPLPTnW0yBpkaO9ahOvcuW0qtf3oX6NbZLkqToqvX8ZXMHRsk4HqVjef_wX1SxD2xefvTqmrDZ1C0F-ejvLIjS_sPyD67UcaPnFAXM8gyRlQnZWgL3nUQmLC1YhNm8IOtIrr_9tBOSWiMHHb49uNzyRcQRTC-LjbdPLuinzYzGaR5au9DXjO_xpWiME5btrIVWHxO9AF4_U8Y96h7CVAxRpv7ksmJHTnS0hY4MMKKgodAHJceNAEOAh45Wlhm1VjhT8m0oDcEw4NiCe3MN256Zl_iXfV3tA8DAnOXLvJcvu-4pdA6pOu7OYq8uH1rLLZ6flPynZnEkWGa7qp14OzeJilAw6LVZkXO8SoOlC_GVlW0NoK7WYhWdfDFbDWCGbRgYM-f_FDZW262SomoXcuMrVBxKzHGZU3WmqoU5Kvy47FewPWvT7jAxx5hUOi2MSXokxBtktyIuOL4F5kzYduI8umNulLLkbJigS-NpgATiBNNhM4QzxXbyLFIcV6wp6D56wYa2f7btIJSytqYsyO5WUySPBFIUPikuD9QgjseKvi2I5MKlLsGCq5MnZb0amoqYa8SSDloU8e-PCdbOP9K123bwlU5tV-MMdNPHlkfpD97YM6v0M-Txyrplw2F0-4-QKa4lmLFoVtFkGs06a7N9iZi4ErDnKLJ0dIFHKYT1QHmslfEGluFhAQCmQyHq1hzE4N6iSN3wE81rHJwOefwwe0kd8Fdl8F2mRImCJVl6FtM7Ri0teMKjRMJj0EMCFyupwGi4Gm1a7Jcl4kCvDcW_mw0IjlSnDdAKr6IoMvswh8Eo_N5PQIcRBob0dPz9KyBeJY_jonuf5ULnWU55ATilEVoAPGW40MsEFTGLvjFcfHXlTtRBTrYcK93EtngITj7_VO4Meg6GC7p24MNQAUJxJqCC2sGrvYItQugjy_N51cnc0ExxXh-JljKZ30PXlhPdT9dPZOTaOrQSexYPyilDf55Ooo_xu6rHxvokUuARUQC4MQ12yFXli2rlGdJrOzaEgd84ouPyZUWue95edHABUTYpD4ZO8lcTkDYzm0HyA_47yUISCRaLMfqMHDn61cTuW13ND9C_dlJWdeuzADoDrzCiHxurDM62CBSiTy3goPydRCrysE9ehGb9NGmr0WWdGvBaJJ9e3fkgMGIu94uJZoufdXllNv1QkaV9HlIarubgqA75hq7rGUnKipTEKBihOkvQ5qzjWXE6S0Y1fRU8OPeEJHTBB14arU82kWe5YZKxf_msq6Nf4dhL5PIXwc1Wlw32mK1QEPWCR2mvJCmN1wSxoGOySoxLpdKK6qVXqufIffEHfkO_MepCXbTChoZ9NGNpKzYGe3z8rcMeKBb3mKdJls8N3f4DrLg2SfBercNBnZt725SSN8V-oifiVOrXCLImGPi5cQpKJhFCKWfKFZaQLk7aGu2OJ53TAPVNbu9vtDjbP-Qsn18Sg5GQ0bjFtQlzaHH2io4AQPlSJ9c2YGaqzrCz6BwXyanGtHc8Im-EE14uBALCyqyxyCbutPPNLmz01uYdMRepSoyn5hPwd-ZBNQ9GrTqTiCO4qzY1edNlrzZV198vMJOC3qalSaXp1s9zFr3uCQYGMmk7OspcUrtsBwUVtWdh7Bs2947i7IzON8CIzNqDlq5G1roHjo8q71BU71laPYRtFvrJo26t2zM40FnY5CrYgZ6mJeEckadbUHTgke7qwAm7NcIv9fbrxYBXCGxJ240lSUjfixdKw4Jf5zbXxHgaFD40th4MhkF1Hk0cbv-CtqA7kYXsDFpG93mnDmAFID-xDsnecUGFqAvZ2AiEh8n-Z-VnDpoVFlWUOPRi5zpLamV2g9sUBrgmbOCD8hAINBsJ7U1jXpj5JuTrBdULOr3_Vw-Hg10SaTM1DJJFJe7qcSGmWGMJfvVnS98DHz29zrTc9yJpD1zXbAIHRwDLf_-6lWdaMYSDf1542RQSB8lkAyT6qPS6YGQQbcKzDi-tpEyjkC6HBP9ZROFK-wrAvtv2GLFUXo0KZLqarE2L9AnN4hFecn1MkANLNS5IZmGq5wM6Es7rwlu5zvk2U8T4z1OHBnXwKbUp-yCHRlZy0bQKkAlYjq3bWQJdYuCznaYavqPIUmKk4dqGrOgWcPbNImPt8qRVYuZuqO7xpBqdfwrKAkfK6rhKblbIbGj4CK38weGi2kDPGuY_Q2VeK8XSz37rSAiazvw1KsKRxks0sHg_caww8ZptqXQGOA7YyLoIRhsi1XWoiUWnzQtUIA4-JHefwLKx-Y8qkPQzVCVlCJ1nOPhr-Df4AL-LF6m-oJpsE1mSyTiMNvKvhJBSFlaKceVE2jPXsVR_QdRDeBD6CjwzqUR4wwv-5SZuzHCalIJIRawq4KH4JiebGhW_k9j9VdR28cEpWrfs1Q91emQ4FhWWQDeRmgrk=","format":"openai-responses-v1","id":"rs_0fea1bb06de6da07016a5807339a6881908311ccf2a5712bc5","index":1}]}}],"usage":{"prompt_tokens":4230,"completion_tokens":3323,"total_tokens":7553,"cost":0.02522475,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":4227,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.02522475,"upstream_inference_prompt_cost":0.00528675,"upstream_inference_completions_cost":0.019938},"completion_tokens_details":{"reasoning_tokens":407,"image_tokens":0,"audio_tokens":0}}}"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n# clear\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\n# materials\ndef mat(name,color,rough=.45,metal=0):\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\n# helpers\ndef uv(name,loc,scale,ma,seg=32,rings=16):\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\n# ground\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\n# sea strip/background\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\n# dog body airborne\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\n# saddle overlay and white chest\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\n# neck/head\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\n# blaze on camera side\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\n# muzzle and nose\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\n# mouth dark open below muzzle\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\n# eyes visible near side and far\nfor y in (-.43,.34):\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\n# ears triangular, swept back along -x, cones 3 verts\nfor y in (-.3,.27):\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\n# legs reaching forward and hind trailing\n# front legs from chest toward ball (+x), angled down\nfor y in (-.42,.34):\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\n# hind legs trail back, tan upper / white socks\nfor y in (-.4,.34):\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\n# tail fluffy raised\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\n# ball with panel material by longitude\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\nfor p in ball.data.polygons:\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\nbpy.ops.object.shade_smooth()\n# seam rings crossing sphere\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\n# cap and valve\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\n# sand burst cones at launch point\nfor i in range(14):\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\nfor i in range(22):\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\n# paw prints\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\n# towel lifted corner\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\n# tipped bucket near side\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\n# sandal tumbling\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\n# lighting/world\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\n# camera\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\ntrack(cam,(.15,0,1.9));cam.data.lens=52\n# render\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\nsc.view_settings.look='AgX - Medium High Contrast'\n# save\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}", "parse_error": null}], "tokens_in": 4230, "tokens_out": 3323, "cost_usd": 0.02522475, "cached_tokens": 0}, "error": null}
{"ts": "2026-07-15T22:18:49.385517+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n# clear\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\n# materials\ndef mat(name,color,rough=.45,metal=0):\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\n# helpers\ndef uv(name,loc,scale,ma,seg=32,rings=16):\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\n# ground\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\n# sea strip/background\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\n# dog body airborne\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\n# saddle overlay and white chest\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\n# neck/head\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\n# blaze on camera side\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\n# muzzle and nose\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\n# mouth dark open below muzzle\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\n# eyes visible near side and far\nfor y in (-.43,.34):\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\n# ears triangular, swept back along -x, cones 3 verts\nfor y in (-.3,.27):\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\n# legs reaching forward and hind trailing\n# front legs from chest toward ball (+x), angled down\nfor y in (-.42,.34):\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\n# hind legs trail back, tan upper / white socks\nfor y in (-.4,.34):\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\n# tail fluffy raised\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\n# ball with panel material by longitude\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\nfor p in ball.data.polygons:\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\nbpy.ops.object.shade_smooth()\n# seam rings crossing sphere\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\n# cap and valve\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\n# sand burst cones at launch point\nfor i in range(14):\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\nfor i in range(22):\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\n# paw prints\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\n# towel lifted corner\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\n# tipped bucket near side\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\n# sandal tumbling\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\n# lighting/world\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\n# camera\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\ntrack(cam,(.15,0,1.9));cam.data.lens=52\n# render\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\nsc.view_settings.look='AgX - Medium High Contrast'\n# save\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}", "parse_error": null}]}
{"ts": "2026-07-15T22:18:49.385517+00:00", "type": "tool_call", "id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n# clear\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\n# materials\ndef mat(name,color,rough=.45,metal=0):\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\n# helpers\ndef uv(name,loc,scale,ma,seg=32,rings=16):\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\n# ground\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\n# sea strip/background\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\n# dog body airborne\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\n# saddle overlay and white chest\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\n# neck/head\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\n# blaze on camera side\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\n# muzzle and nose\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\n# mouth dark open below muzzle\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\n# eyes visible near side and far\nfor y in (-.43,.34):\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\n# ears triangular, swept back along -x, cones 3 verts\nfor y in (-.3,.27):\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\n# legs reaching forward and hind trailing\n# front legs from chest toward ball (+x), angled down\nfor y in (-.42,.34):\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\n# hind legs trail back, tan upper / white socks\nfor y in (-.4,.34):\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\n# tail fluffy raised\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\n# ball with panel material by longitude\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\nfor p in ball.data.polygons:\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\nbpy.ops.object.shade_smooth()\n# seam rings crossing sphere\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\n# cap and valve\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\n# sand burst cones at launch point\nfor i in range(14):\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\nfor i in range(22):\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\n# paw prints\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\n# towel lifted corner\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\n# tipped bucket near side\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\n# sandal tumbling\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\n# lighting/world\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\n# camera\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\ntrack(cam,(.15,0,1.9));cam.data.lens=52\n# render\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\nsc.view_settings.look='AgX - Medium High Contrast'\n# save\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}
{"ts": "2026-07-15T22:18:49.877555+00:00", "type": "tool_result", "tool_call_id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T22:18:52.525431+00:00", "type": "llm_call", "call_index": 2, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T22:18:49.878061+00:00", "finished_at": "2026-07-15T22:18:52.524170+00:00", "duration_s": 2.6559999999881256, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]}, {"role": "tool", "tool_call_id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T22:18:49.878061+00:00", "finished_at": "2026-07-15T22:18:52.524170+00:00", "duration_s": 2.6559999999881256, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "32202", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\\n\\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\\n\\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\\n\\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\\n\\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\\n\\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\\n\\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\\n\\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\n# materials\\\\ndef mat(name,color,rough=.45,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\\\n# helpers\\\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\\\n# ground\\\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\\\n# sea strip/background\\\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\\\n# dog body airborne\\\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\\\n# saddle overlay and white chest\\\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\\\n# neck/head\\\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\\\n# blaze on camera side\\\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\\\n# muzzle and nose\\\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\\\n# mouth dark open below muzzle\\\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\\\n# eyes visible near side and far\\\\nfor y in (-.43,.34):\\\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\\\n# ears triangular, swept back along -x, cones 3 verts\\\\nfor y in (-.3,.27):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\\\n# legs reaching forward and hind trailing\\\\n# front legs from chest toward ball (+x), angled down\\\\nfor y in (-.42,.34):\\\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\\\n# hind legs trail back, tan upper / white socks\\\\nfor y in (-.4,.34):\\\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\\\n# tail fluffy raised\\\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\\\n# ball with panel material by longitude\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\\\nfor p in ball.data.polygons:\\\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\\\nbpy.ops.object.shade_smooth()\\\\n# seam rings crossing sphere\\\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\\\n# cap and valve\\\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\\\n# sand burst cones at launch point\\\\nfor i in range(14):\\\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\\\nfor i in range(22):\\\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\\\n# paw prints\\\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\\\n# towel lifted corner\\\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\\\n# tipped bucket near side\\\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\\\n# sandal tumbling\\\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\\\n# lighting/world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\\\n# render\\\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# save\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_39pfK0MnSE4dMd4aW9SjaYC1","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]},{"role":"tool","tool_call_id":"call_39pfK0MnSE4dMd4aW9SjaYC1","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; 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Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}", "parse_error": null}], "tokens_in": 7209, "tokens_out": 247, "cost_usd": 0.00563145, "cached_tokens": 4227}, "error": null}
{"ts": "2026-07-15T22:18:52.526431+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "name": "execute_blender_code", "arguments": {"code": "import bpy\nfrom mathutils import Vector\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\nsc.view_settings.look='AgX - Medium High Contrast'\n# ensure camera if absent\nif not sc.camera:\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Finalize and render the beach corgi scene."}, "raw_arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}", "parse_error": null}]}
{"ts": "2026-07-15T22:18:52.526431+00:00", "type": "tool_call", "id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "name": "execute_blender_code", "arguments": {"code": "import bpy\nfrom mathutils import Vector\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\nsc.view_settings.look='AgX - Medium High Contrast'\n# ensure camera if absent\nif not sc.camera:\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Finalize and render the beach corgi scene."}, "raw_arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}
{"ts": "2026-07-15T22:18:52.587538+00:00", "type": "tool_result", "tool_call_id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T22:18:54.705946+00:00", "type": "llm_call", "call_index": 3, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T22:18:52.587538+00:00", "finished_at": "2026-07-15T22:18:54.704945+00:00", "duration_s": 2.109000000025844, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]}, {"role": "tool", "tool_call_id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "content": "Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T22:18:52.587538+00:00", "finished_at": "2026-07-15T22:18:54.704945+00:00", "duration_s": 2.109000000025844, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "33350", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\\n\\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\\n\\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\\n\\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\\n\\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\\n\\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\\n\\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\\n\\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\n# materials\\\\ndef mat(name,color,rough=.45,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\\\n# helpers\\\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\\\n# ground\\\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\\\n# sea strip/background\\\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\\\n# dog body airborne\\\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\\\n# saddle overlay and white chest\\\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\\\n# neck/head\\\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\\\n# blaze on camera side\\\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\\\n# muzzle and nose\\\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\\\n# mouth dark open below muzzle\\\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\\\n# eyes visible near side and far\\\\nfor y in (-.43,.34):\\\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\\\n# ears triangular, swept back along -x, cones 3 verts\\\\nfor y in (-.3,.27):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\\\n# legs reaching forward and hind trailing\\\\n# front legs from chest toward ball (+x), angled down\\\\nfor y in (-.42,.34):\\\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\\\n# hind legs trail back, tan upper / white socks\\\\nfor y in (-.4,.34):\\\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\\\n# tail fluffy raised\\\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\\\n# ball with panel material by longitude\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\\\nfor p in ball.data.polygons:\\\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\\\nbpy.ops.object.shade_smooth()\\\\n# seam rings crossing sphere\\\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\\\n# cap and valve\\\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\\\n# sand burst cones at launch point\\\\nfor i in range(14):\\\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\\\nfor i in range(22):\\\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\\\n# paw prints\\\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\\\n# towel lifted corner\\\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\\\n# tipped bucket near side\\\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\\\n# sandal tumbling\\\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\\\n# lighting/world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\\\n# render\\\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# save\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_teUAoF2l1i8jNX4cYvnzfAcb\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# ensure camera if absent\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_teUAoF2l1i8jNX4cYvnzfAcb\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_39pfK0MnSE4dMd4aW9SjaYC1","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]},{"role":"tool","tool_call_id":"call_39pfK0MnSE4dMd4aW9SjaYC1","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_teUAoF2l1i8jNX4cYvnzfAcb","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]},{"role":"tool","tool_call_id":"call_teUAoF2l1i8jNX4cYvnzfAcb","content":"Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. 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{"ts": "2026-07-15T22:18:54.706944+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "name": "execute_blender_code", "arguments": {"code": "import bpy\nfrom mathutils import Vector\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\nsc.view_settings.look='AgX - Medium High Contrast'\nif not sc.camera:\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Finalize and render the beach corgi scene."}, "raw_arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\nsc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}", "parse_error": null}]}
{"ts": "2026-07-15T22:18:54.706944+00:00", "type": "tool_call", "id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "name": "execute_blender_code", "arguments": {"code": "import bpy\nfrom mathutils import Vector\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\nsc.view_settings.look='AgX - Medium High Contrast'\nif not sc.camera:\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Finalize and render the beach corgi scene."}, "raw_arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\nsc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}
{"ts": "2026-07-15T22:18:54.791541+00:00", "type": "tool_result", "tool_call_id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\corgi_beach.blend@ for writing: No such file or directory\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T22:18:57.324233+00:00", "type": "llm_call", "call_index": 4, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T22:18:54.792548+00:00", "finished_at": "2026-07-15T22:18:57.324233+00:00", "duration_s": 2.5310000000172295, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]}, {"role": "tool", "tool_call_id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "content": "Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\nsc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\corgi_beach.blend@ for writing: No such file or directory\n"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T22:18:54.792548+00:00", "finished_at": "2026-07-15T22:18:57.324233+00:00", "duration_s": 2.5310000000172295, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "34547", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\\n\\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\\n\\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\\n\\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\\n\\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\\n\\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\\n\\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\\n\\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\n# materials\\\\ndef mat(name,color,rough=.45,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\\\n# helpers\\\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\\\n# ground\\\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\\\n# sea strip/background\\\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\\\n# dog body airborne\\\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\\\n# saddle overlay and white chest\\\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\\\n# neck/head\\\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\\\n# blaze on camera side\\\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\\\n# muzzle and nose\\\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\\\n# mouth dark open below muzzle\\\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\\\n# eyes visible near side and far\\\\nfor y in (-.43,.34):\\\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\\\n# ears triangular, swept back along -x, cones 3 verts\\\\nfor y in (-.3,.27):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\\\n# legs reaching forward and hind trailing\\\\n# front legs from chest toward ball (+x), angled down\\\\nfor y in (-.42,.34):\\\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\\\n# hind legs trail back, tan upper / white socks\\\\nfor y in (-.4,.34):\\\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\\\n# tail fluffy raised\\\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\\\n# ball with panel material by longitude\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\\\nfor p in ball.data.polygons:\\\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\\\nbpy.ops.object.shade_smooth()\\\\n# seam rings crossing sphere\\\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\\\n# cap and valve\\\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\\\n# sand burst cones at launch point\\\\nfor i in range(14):\\\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\\\nfor i in range(22):\\\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\\\n# paw prints\\\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\\\n# towel lifted corner\\\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\\\n# tipped bucket near side\\\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\\\n# sandal tumbling\\\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\\\n# lighting/world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\\\n# render\\\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# save\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_teUAoF2l1i8jNX4cYvnzfAcb\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# ensure camera if absent\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_teUAoF2l1i8jNX4cYvnzfAcb\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_Ryd01Khuh3nj1waBKnxvCKkQ\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_Ryd01Khuh3nj1waBKnxvCKkQ\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\corgi_beach.blend@ for writing: No such file or directory\\n\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_39pfK0MnSE4dMd4aW9SjaYC1","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]},{"role":"tool","tool_call_id":"call_39pfK0MnSE4dMd4aW9SjaYC1","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_teUAoF2l1i8jNX4cYvnzfAcb","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]},{"role":"tool","tool_call_id":"call_teUAoF2l1i8jNX4cYvnzfAcb","content":"Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_Ryd01Khuh3nj1waBKnxvCKkQ","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\nsc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]},{"role":"tool","tool_call_id":"call_Ryd01Khuh3nj1waBKnxvCKkQ","content":"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file C:\\Users\\gruku\\Files\\Projects\\Blender-Bench\\apps\\console\\tmp\\corgi_beach.blend@ for writing: No such file or directory\n"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. 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The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. 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{"ts": "2026-07-15T22:18:57.327250+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_eWaH3ASlDNw7ryiA69hSOfZn", "name": "execute_blender_code", "arguments": {"code": "import bpy\nfrom mathutils import Vector\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\nif not sc.camera:\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Finalize and render the beach corgi scene."}, "raw_arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}", "parse_error": null}]}
{"ts": "2026-07-15T22:18:57.327250+00:00", "type": "tool_call", "id": "call_eWaH3ASlDNw7ryiA69hSOfZn", "name": "execute_blender_code", "arguments": {"code": "import bpy\nfrom mathutils import Vector\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\nif not sc.camera:\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Finalize and render the beach corgi scene."}, "raw_arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}
{"ts": "2026-07-15T22:18:58.330057+00:00", "type": "tool_result", "tool_call_id": "call_eWaH3ASlDNw7ryiA69hSOfZn", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: Error: Render error (No error) cannot save: 'C:\\corgi.png'\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T22:19:13.130153+00:00", "type": "llm_call", "call_index": 5, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T22:18:58.330057+00:00", "finished_at": "2026-07-15T22:19:13.130153+00:00", "duration_s": 14.796999999991385, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. 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The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]}, {"role": "tool", "tool_call_id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "content": "Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\nsc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\corgi_beach.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_eWaH3ASlDNw7ryiA69hSOfZn", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_eWaH3ASlDNw7ryiA69hSOfZn", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Render error (No error) cannot save: 'C:\\corgi.png'\n"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T22:18:58.330057+00:00", "finished_at": "2026-07-15T22:19:13.130153+00:00", "duration_s": 14.796999999991385, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "35640", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\\n\\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\\n\\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\\n\\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\\n\\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\\n\\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\\n\\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\\n\\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\n# materials\\\\ndef mat(name,color,rough=.45,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\\\n# helpers\\\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\\\n# ground\\\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\\\n# sea strip/background\\\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\\\n# dog body airborne\\\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\\\n# saddle overlay and white chest\\\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\\\n# neck/head\\\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\\\n# blaze on camera side\\\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\\\n# muzzle and nose\\\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\\\n# mouth dark open below muzzle\\\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\\\n# eyes visible near side and far\\\\nfor y in (-.43,.34):\\\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\\\n# ears triangular, swept back along -x, cones 3 verts\\\\nfor y in (-.3,.27):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\\\n# legs reaching forward and hind trailing\\\\n# front legs from chest toward ball (+x), angled down\\\\nfor y in (-.42,.34):\\\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\\\n# hind legs trail back, tan upper / white socks\\\\nfor y in (-.4,.34):\\\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\\\n# tail fluffy raised\\\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\\\n# ball with panel material by longitude\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\\\nfor p in ball.data.polygons:\\\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\\\nbpy.ops.object.shade_smooth()\\\\n# seam rings crossing sphere\\\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\\\n# cap and valve\\\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\\\n# sand burst cones at launch point\\\\nfor i in range(14):\\\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\\\nfor i in range(22):\\\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\\\n# paw prints\\\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\\\n# towel lifted corner\\\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\\\n# tipped bucket near side\\\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\\\n# sandal tumbling\\\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\\\n# lighting/world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\\\n# render\\\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# save\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_teUAoF2l1i8jNX4cYvnzfAcb\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# ensure camera if absent\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_teUAoF2l1i8jNX4cYvnzfAcb\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_Ryd01Khuh3nj1waBKnxvCKkQ\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_Ryd01Khuh3nj1waBKnxvCKkQ\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\corgi_beach.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_eWaH3ASlDNw7ryiA69hSOfZn\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_eWaH3ASlDNw7ryiA69hSOfZn\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Render error (No error) cannot save: 'C:\\\\corgi.png'\\n\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_39pfK0MnSE4dMd4aW9SjaYC1","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]},{"role":"tool","tool_call_id":"call_39pfK0MnSE4dMd4aW9SjaYC1","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_teUAoF2l1i8jNX4cYvnzfAcb","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]},{"role":"tool","tool_call_id":"call_teUAoF2l1i8jNX4cYvnzfAcb","content":"Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_Ryd01Khuh3nj1waBKnxvCKkQ","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\nsc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]},{"role":"tool","tool_call_id":"call_Ryd01Khuh3nj1waBKnxvCKkQ","content":"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file C:\\Users\\gruku\\Files\\Projects\\Blender-Bench\\apps\\console\\tmp\\corgi_beach.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_eWaH3ASlDNw7ryiA69hSOfZn","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); 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{"ts": "2026-07-15T22:19:13.132176+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_58CzGLjXc5XjlODEKfLcD5Pg", "name": "execute_blender_code", "arguments": {"code": "import bpy\nsc=bpy.context.scene; sc.render.filepath='//corgi.png'; bpy.ops.wm.save_as_mainfile(filepath='//corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Save the completed Blender scene and render."}, "raw_arguments": "{\"code\":\"import bpy\\nsc=bpy.context.scene; sc.render.filepath='//corgi.png'; bpy.ops.wm.save_as_mainfile(filepath='//corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Save the completed Blender scene and render.\"}", "parse_error": null}]}
{"ts": "2026-07-15T22:19:13.133184+00:00", "type": "tool_call", "id": "call_58CzGLjXc5XjlODEKfLcD5Pg", "name": "execute_blender_code", "arguments": {"code": "import bpy\nsc=bpy.context.scene; sc.render.filepath='//corgi.png'; bpy.ops.wm.save_as_mainfile(filepath='//corgi_beach.blend'); bpy.ops.render.render(write_still=True)", "user_prompt": "Save the completed Blender scene and render."}, "raw_arguments": "{\"code\":\"import bpy\\nsc=bpy.context.scene; sc.render.filepath='//corgi.png'; bpy.ops.wm.save_as_mainfile(filepath='//corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Save the completed Blender scene and render.\"}"}
{"ts": "2026-07-15T22:19:14.356551+00:00", "type": "tool_result", "tool_call_id": "call_58CzGLjXc5XjlODEKfLcD5Pg", "name": "execute_blender_code", "text": "Code executed successfully: Info: Saved as \"corgi_beach.blend\"\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T22:19:15.900622+00:00", "type": "llm_call", "call_index": 6, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T22:19:14.357553+00:00", "finished_at": "2026-07-15T22:19:15.900622+00:00", "duration_s": 1.5469999999913853, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]}, {"role": "tool", "tool_call_id": "call_39pfK0MnSE4dMd4aW9SjaYC1", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_teUAoF2l1i8jNX4cYvnzfAcb", "content": "Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\nsc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_Ryd01Khuh3nj1waBKnxvCKkQ", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\corgi_beach.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_eWaH3ASlDNw7ryiA69hSOfZn", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_eWaH3ASlDNw7ryiA69hSOfZn", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Render error (No error) cannot save: 'C:\\corgi.png'\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_58CzGLjXc5XjlODEKfLcD5Pg", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nsc=bpy.context.scene; sc.render.filepath='//corgi.png'; bpy.ops.wm.save_as_mainfile(filepath='//corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Save the completed Blender scene and render.\"}"}}]}, {"role": "tool", "tool_call_id": "call_58CzGLjXc5XjlODEKfLcD5Pg", "content": "Code executed successfully: Info: Saved as \"corgi_beach.blend\"\n"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T22:19:14.357553+00:00", "finished_at": "2026-07-15T22:19:15.900622+00:00", "duration_s": 1.5469999999913853, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "36197", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\\n\\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\\n\\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\\n\\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\\n\\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\\n\\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\\n\\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\\n\\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\n# materials\\\\ndef mat(name,color,rough=.45,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\\\n# helpers\\\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\\\n# ground\\\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\\\n# sea strip/background\\\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\\\n# dog body airborne\\\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\\\n# saddle overlay and white chest\\\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\\\n# neck/head\\\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\\\n# blaze on camera side\\\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\\\n# muzzle and nose\\\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\\\n# mouth dark open below muzzle\\\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\\\n# eyes visible near side and far\\\\nfor y in (-.43,.34):\\\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\\\n# ears triangular, swept back along -x, cones 3 verts\\\\nfor y in (-.3,.27):\\\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\\\n# legs reaching forward and hind trailing\\\\n# front legs from chest toward ball (+x), angled down\\\\nfor y in (-.42,.34):\\\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\\\n# hind legs trail back, tan upper / white socks\\\\nfor y in (-.4,.34):\\\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\\\n# tail fluffy raised\\\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\\\n# ball with panel material by longitude\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\\\nfor p in ball.data.polygons:\\\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\\\nbpy.ops.object.shade_smooth()\\\\n# seam rings crossing sphere\\\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\\\n# cap and valve\\\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\\\n# sand burst cones at launch point\\\\nfor i in range(14):\\\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\\\nfor i in range(22):\\\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\\\n# paw prints\\\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\\\n# towel lifted corner\\\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\\\n# tipped bucket near side\\\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\\\n# sandal tumbling\\\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\\\n# lighting/world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\\\n# render\\\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# save\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_39pfK0MnSE4dMd4aW9SjaYC1\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_teUAoF2l1i8jNX4cYvnzfAcb\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\n# ensure camera if absent\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_teUAoF2l1i8jNX4cYvnzfAcb\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_Ryd01Khuh3nj1waBKnxvCKkQ\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\\\nsc.view_settings.look='AgX - Medium High Contrast'\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_Ryd01Khuh3nj1waBKnxvCKkQ\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\corgi_beach.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_eWaH3ASlDNw7ryiA69hSOfZn\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nfrom mathutils import Vector\\\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\\\\nif not sc.camera:\\\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\\\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Finalize and render the beach corgi scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_eWaH3ASlDNw7ryiA69hSOfZn\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Render error (No error) cannot save: 'C:\\\\corgi.png'\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_58CzGLjXc5XjlODEKfLcD5Pg\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nsc=bpy.context.scene; sc.render.filepath='//corgi.png'; bpy.ops.wm.save_as_mainfile(filepath='//corgi_beach.blend'); bpy.ops.render.render(write_still=True)\\\",\\\"user_prompt\\\":\\\"Save the completed Blender scene and render.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_58CzGLjXc5XjlODEKfLcD5Pg\",\"content\":\"Code executed successfully: Info: Saved as \\\"corgi_beach.blend\\\"\\n\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\nThe interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.\n\nYou are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nA Pembroke Welsh Corgi launching through the air toward a beach ball, frozen at the funniest possible instant before impact. This is a posed action still, not an animation — one carefully chosen split second in which the dog, ball, sand, and loose beach objects are all caught in motion.\n\nThe dog. Corgi anatomy is non-negotiable and is most of the test: a long low body, comically short legs, oversized upright triangular ears, a fox-like muzzle with an open panting mouth, a fluffy white-and-tan coat with the classic corgi markings — white blaze, chest, and socks; tan-red saddle — and the signature big round hindquarters. The body must read as soft and organic, with believable joints, fur volume, and weight. No hard-surface seams, mannequin stiffness, or generic dog proportions. The silhouette should break softly around the chest, haunches, tail area, and ear edges.\n\nThe action. The corgi has just leapt from the sand and is fully airborne, stretched forward toward a beach ball that is also suspended in the air. Its front paws reach toward the ball but have not quite landed yet, while the hind legs trail behind from the push-off. The spine forms a strong forward arc, ears fold back from momentum, fur lifts slightly in the wind, tongue hangs out, and the expression mixes determination with joyful panic. The body should clearly feel launched rather than floating.\n\nThe ball. A classic six-panel inflatable beach ball in alternating saturated colors, with a white pole cap, visible seams, and a small valve nub. It has just bounced upward and is rotating in front of the corgi, slightly above muzzle height. The ball should show believable light vinyl construction, a soft sheen, subtle translucency, and a tiny amount of deformation from its previous bounce rather than appearing as a perfectly rigid sphere.\n\nMore things happening. The jump should disturb the whole scene. A burst of sand erupts from the corgi’s takeoff point, with paw-shaped sprays and individual grains catching the sunlight. Paw prints lead toward the launch point. A lightweight beach towel lifts at one corner in the gust, a small plastic bucket has tipped over, and one loose toy or sandal is caught mid-tumble nearby. These secondary actions should support the central leap without cluttering the frame or competing with the dog.\n\nSetting. A bright sandy beach under strong midday sun, with a simple blue sky and softly blurred sea horizon. Crisp shadows sit beneath the airborne dog and ball, helping establish their height above the ground. The environment remains minimal and graphic — a stage for the action rather than the subject.\n\nComposition. Camera low, near corgi eye level, with the dog moving diagonally through the frame toward the floating ball. Keep enough space beneath both subjects to make the jump unmistakable. The corgi and ball should dominate the image, while the sand burst and scattered objects create a clear trail of motion behind them. The moment should make a person smile immediately, before they begin evaluating anatomy or rendering quality.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_39pfK0MnSE4dMd4aW9SjaYC1","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\n# materials\\ndef mat(name,color,rough=.45,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True; bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal; return m\\ntan=mat('Corgi rich tan',(0.72,.22,.07),.6); tan2=mat('warm saddle',(0.5,.105,.025),.7); white=mat('Cream white',(0.95,.88,.7),.65); dark=mat('Nose and mouth',(.018,.008,.004),.3); pink=mat('Tongue',(.95,.18,.22),.45); eye=mat('Bright determined eyes',(.015,.008,.003),.2); sand=mat('Sunlit sand',(.76,.52,.25),.9); sand2=mat('Sand spray',(.95,.72,.4),.8); blue=mat('Sky blue',(.18,.5,.82),.65); towelmat=mat('Towel turquoise',(.04,.48,.58),.75); stripe=mat('Towel stripe',(.95,.75,.22),.6); bucketmat=mat('Bucket red',(.9,.08,.035),.35); yellow=mat('Ball yellow',(1,.68,.03),.35); red=mat('Ball coral',(.93,.06,.04),.35); green=mat('Ball green',(.08,.65,.28),.35); ballblue=mat('Ball blue',(.03,.3,.85),.35); ballwhite=mat('Ball white',(.95,.94,.82),.3)\\n# helpers\\ndef uv(name,loc,scale,ma,seg=32,rings=16):\\n bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); bpy.ops.object.shade_smooth(); return o\\ndef cube(name,loc,scale,ma,rot=(0,0,0),bev=.08):\\n bpy.ops.mesh.primitive_cube_add(location=loc,rotation=rot); o=bpy.context.object; o.name=name; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True); o.data.materials.append(ma); b=o.modifiers.new('Soft edges','BEVEL'); b.width=bev;b.segments=3; return o\\ndef cone(name,loc,rad,depth,ma,rot=(0,0,0),verts=32):\\n bpy.ops.mesh.primitive_cone_add(vertices=verts,radius1=rad,radius2=rad*.75,depth=depth,location=loc,rotation=rot); o=bpy.context.object;o.name=name;o.data.materials.append(ma);bpy.ops.object.shade_smooth();return o\\n# ground\\ncube('Endless warm beach',(0,0,-.22),(8,7,.2),sand,bev=.15)\\n# sea strip/background\\ncube('Soft blue sea horizon',(0,3.8,2.0),(8,.12,2.0),blue,bev=.02)\\n# dog body airborne\\nbody=uv('Long low airborne body',(-.75,0,2.25),(1.45,.62,.68),tan2)\\n# saddle overlay and white chest\\nuv('White chest',(.28,-.02,2.28),(.55,.64,.62),white)\\nuv('Round fluffy haunch',(-1.55,.02,2.28),(.72,.66,.72),tan)\\n# neck/head\\nuv('Corgi neck',(.38,0,2.52),(.58,.54,.7),tan)\\nhead=uv('Foxlike corgi head',(.88,-.02,2.65),(.62,.48,.5),tan)\\n# blaze on camera side\\nuv('White forehead blaze',(.91,-.47,2.78),(.18,.035,.34),white,24,12)\\n# muzzle and nose\\nuv('White muzzle',(1.34,-.05,2.53),(.42,.38,.27),white)\\nuv('Black nose',(1.67,-.05,2.57),(.14,.2,.12),dark)\\n# mouth dark open below muzzle\\nuv('Open panting mouth',(1.43,-.1,2.38),(.3,.27,.16),dark)\\nuv('Hanging pink tongue',(1.47,-.31,2.27),(.13,.12,.28),pink)\\n# eyes visible near side and far\\nfor y in (-.43,.34):\\n uv('Alert glossy eye',(.99,y,2.82),(.095,.055,.095),eye,20,10)\\n uv('Eye catchlight',(1.02,y-.05 if y<0 else y+.05,2.86),(.025,.018,.025),white,12,8)\\n# ears triangular, swept back along -x, cones 3 verts\\nfor y in (-.3,.27):\\n bpy.ops.mesh.primitive_cone_add(vertices=3,radius1=.29,radius2=0,depth=.75,location=(.55,y,3.18),rotation=(0,0,(-.22 if y<0 else .22))); o=bpy.context.object;o.name='Large swept triangular ear';o.scale=(.75,.9,1);o.data.materials.append(tan); bpy.ops.object.shade_smooth()\\n# legs reaching forward and hind trailing\\n# front legs from chest toward ball (+x), angled down\\nfor y in (-.42,.34):\\n upper=uv('Reaching front leg',(.58,y,1.95),(.28,.22,.55),white); upper.rotation_euler[1]=-.45\\n paw=uv('Front white paw',(1.15,y,1.78),(.32,.22,.18),white); paw.rotation_euler[1]=-.15\\n# hind legs trail back, tan upper / white socks\\nfor y in (-.4,.34):\\n uv('Trailing hind thigh',(-1.55,y,1.92),(.48,.28,.42),tan)\\n leg=uv('Hind white sock',(-2.0,y,1.68),(.4,.22,.2),white); leg.rotation_euler[1]=.2\\n uv('Hind paw',(-2.25,y,1.61),(.26,.2,.14),white)\\n# tail fluffy raised\\nuv('Fluffy tail',(-2.05,.08,2.55),(.48,.4,.45),white)\\nuv('Tail tan base',(-1.85,.08,2.48),(.3,.3,.3),tan)\\n# ball with panel material by longitude\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=48,ring_count=24,location=(2.18,-.02,2.85)); ball=bpy.context.object;ball.name='Six panel beach ball';ball.scale=(.62,.62,.62);bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\nfor m in (yellow,red,green,ballblue,ballwhite): ball.data.materials.append(m)\\nfor p in ball.data.polygons:\\n c=p.center; a=(math.atan2(c.y,c.x)+math.pi*2)%(math.pi*2); idx=int(a/(2*math.pi/5))%5; p.material_index=idx\\nbpy.ops.object.shade_smooth()\\n# seam rings crossing sphere\\nfor rot in ((0,0,0),(math.pi/2,0,0),(0,math.pi/2,0)):\\n bpy.ops.mesh.primitive_torus_add(major_radius=.615,minor_radius=.012,major_segments=48,minor_segments=6,location=(2.18,-.02,2.85),rotation=rot); o=bpy.context.object;o.name='Vinyl panel seam';o.data.materials.append(ballwhite)\\n# cap and valve\\nbpy.ops.mesh.primitive_cylinder_add(vertices=24,radius=.1,depth=.035,location=(2.18,-.64,2.85),rotation=(math.pi/2,0,0));bpy.context.object.data.materials.append(ballwhite)\\nuv('Beach ball valve nub',(2.18,-.68,2.85),(.045,.06,.045),dark,16,8)\\n# sand burst cones at launch point\\nfor i in range(14):\\n a=i*2.399; r=.22+(i%4)*.13; loc=(-2.0+math.cos(a)*r,-.05+math.sin(a)*r*.6,.15+(i%3)*.08); o=cone('Exploding sand spray',loc,.06+(i%3)*.025,.45+(i%4)*.12,sand2,rot=(math.sin(a)*.8,math.cos(a)*.8,a),verts=8)\\nfor i in range(22):\\n a=i*1.73; r=.35+(i%5)*.13; uv('Flying grain',(-2+math.cos(a)*r,-.1+math.sin(a)*r*.7,.25+(i%6)*.12),(.035,.035,.035),sand2,10,6)\\n# paw prints\\nfor x,y in [(-3.2,-.45),(-2.8,-.42),(-2.4,-.4),(-3.0,.35),(-2.6,.32)]:\\n for dy in (-.07,.07): uv('Paw print',(x,y+dy,.015),(.12,.07,.025),tan2,12,6)\\n# towel lifted corner\\ncube('Beach towel',(1.0,1.45,.06),(1.0,.55,.025),towelmat,rot=(.05,-.12,.15),bev=.03)\\nfor x in (.35,.85,1.35): cube('Towel yellow stripe',(x,1.45,.095),(.07,.56,.012),stripe,rot=(.05,-.12,.15),bev=.01)\\n# tipped bucket near side\\nbpy.ops.mesh.primitive_cone_add(vertices=32,radius1=.38,radius2=.3,depth=.65,location=(-.1,-1.45,.34),rotation=(0,math.radians(68),math.radians(-15)));o=bpy.context.object;o.name='Tipped plastic bucket';o.data.materials.append(bucketmat);bpy.ops.object.shade_smooth()\\n# sandal tumbling\\ncube('Loose yellow sandal',(-.55,-1.15,.6),(.5,.18,.07),yellow,rot=(.3,.5,.7),bev=.1)\\n# lighting/world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World'); bpy.context.scene.world=world; world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(.18,.38,.62,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.45\\nbpy.ops.object.light_add(type='AREA', location=(-1,-4,7)); key=bpy.context.object;key.name='Strong midday sun';key.data.energy=1300;key.data.shape='DISK';key.data.size=5;key.rotation_euler=(math.radians(18),0,math.radians(-8))\\nbpy.ops.object.light_add(type='SUN', location=(0,0,6));sun=bpy.context.object;sun.data.energy=2.0;sun.rotation_euler=(math.radians(25),math.radians(-20),math.radians(-25))\\n# camera\\nbpy.ops.object.camera_add(location=(5.8,-10.5,4.0));cam=bpy.context.object; bpy.context.scene.camera=cam\\ndef track(o,pt): o.rotation_euler=(Vector(pt)-o.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(.15,0,1.9));cam.data.lens=52\\n# render\\nsc=bpy.context.scene;sc.render.engine='BLENDER_EEVEE_NEXT';sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100\\nsc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.render.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# save\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Create a posed airborne Pembroke Welsh Corgi launching toward a six-panel beach ball on a sunny beach, with sand burst and beach props.\"}"}}]},{"role":"tool","tool_call_id":"call_39pfK0MnSE4dMd4aW9SjaYC1","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_teUAoF2l1i8jNX4cYvnzfAcb","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png';sc.film_transparent=False\\nsc.view_settings.look='AgX - Medium High Contrast'\\n# ensure camera if absent\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]},{"role":"tool","tool_call_id":"call_teUAoF2l1i8jNX4cYvnzfAcb","content":"Error executing code: Communication error with Blender: Code execution error: 'Scene' object has no attribute 'film_transparent'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_Ryd01Khuh3nj1waBKnxvCKkQ","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='/tmp/corgi.png'\\nsc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]},{"role":"tool","tool_call_id":"call_Ryd01Khuh3nj1waBKnxvCKkQ","content":"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file C:\\Users\\gruku\\Files\\Projects\\Blender-Bench\\apps\\console\\tmp\\corgi_beach.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_eWaH3ASlDNw7ryiA69hSOfZn","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nfrom mathutils import Vector\\nsc=bpy.context.scene; sc.render.engine='BLENDER_EEVEE'; sc.render.resolution_x=700;sc.render.resolution_y=700;sc.render.resolution_percentage=100;sc.render.image_settings.file_format='PNG';sc.render.filepath='corgi.png';sc.view_settings.look='AgX - Medium High Contrast'\\nif not sc.camera:\\n bpy.ops.object.camera_add(location=(5.8,-10.5,4.0)); cam=bpy.context.object;sc.camera=cam;cam.data.lens=52;cam.rotation_euler=(Vector((.15,0,1.9))-cam.location).to_track_quat('-Z','Y').to_euler()\\nbpy.ops.wm.save_as_mainfile(filepath='corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Finalize and render the beach corgi scene.\"}"}}]},{"role":"tool","tool_call_id":"call_eWaH3ASlDNw7ryiA69hSOfZn","content":"Error executing code: Communication error with Blender: Code execution error: Error: Render error (No error) cannot save: 'C:\\corgi.png'\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_58CzGLjXc5XjlODEKfLcD5Pg","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nsc=bpy.context.scene; sc.render.filepath='//corgi.png'; bpy.ops.wm.save_as_mainfile(filepath='//corgi_beach.blend'); bpy.ops.render.render(write_still=True)\",\"user_prompt\":\"Save the completed Blender scene and render.\"}"}}]},{"role":"tool","tool_call_id":"call_58CzGLjXc5XjlODEKfLcD5Pg","content":"Code executed successfully: Info: Saved as \"corgi_beach.blend\"\n"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. 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