{"ts": "2026-07-15T00:59:50.120797+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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. When you are finished, reply with the single word DONE and no tool calls."}
{"ts": "2026-07-15T00:59:50.122310+00:00", "type": "user", "text": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}
{"ts": "2026-07-15T00:59:53.203954+00:00", "type": "llm_call", "call_index": 1, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:59:50.122310+00:00", "finished_at": "2026-07-15T00:59:53.203954+00:00", "duration_s": 3.0940000000118744, "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\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": "2026-07-15T00:59:50.123316+00:00", "finished_at": "2026-07-15T00:59:53.203954+00:00", "duration_s": 3.0780000000086147, "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": "18513", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\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\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\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\"}}}],\"reasoning\":{\"effort\":\"max\"}}", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\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. 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{"ts": "2026-07-15T00:59:53.205459+00:00", "type": "tool_call", "id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "name": "get_scene_info", "arguments": {"user_prompt": "Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene."}, "raw_arguments": "{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}
{"ts": "2026-07-15T00:59:53.232312+00:00", "type": "tool_result", "tool_call_id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "name": "get_scene_info", "text": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:00:21.903622+00:00", "type": "llm_call", "call_index": 2, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:59:53.232816+00:00", "finished_at": "2026-07-15T01:00:21.903622+00:00", "duration_s": 28.65700000000652, "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\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": "2026-07-15T00:59:53.232816+00:00", "finished_at": "2026-07-15T01:00:21.902616+00:00", "duration_s": 28.65700000000652, "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": "19055", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\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\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\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\"}}}],\"reasoning\":{\"effort\":\"max\"}}", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_GSbmDHMKQUM3cJcKICLP0LTI","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_GSbmDHMKQUM3cJcKICLP0LTI","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\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"}}}],"reasoning":{"effort":"max"}}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:59:52 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784077191-kLPyKU3vvLTFafuWP9JE", "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": "a1b4d3b1bd660381-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\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-1784077191-kLPyKU3vvLTFafuWP9JE\",\"object\":\"chat.completion\",\"created\":1784077191,\"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\":null,\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Reset to a clean scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\nscene = bpy.context.scene\\\\nscene.unit_settings.system = 'METRIC'\\\\nscene.unit_settings.length_unit = 'METERS'\\\\n\\\\n# World: restrained neutral ambient, with the floor filling the camera view\\\\nworld = scene.world or bpy.data.worlds.new('World')\\\\nscene.world = world\\\\nworld.use_nodes = True\\\\nbg = world.node_tree.nodes.get('Background')\\\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\\\nbg.inputs['Strength'].default_value = 0.22\\\\n\\\\n# Materials\\\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\\\nred_mat.use_nodes = True\\\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\\\nred_mat.roughness = 0.22\\\\nnodes = red_mat.node_tree.nodes\\\\nbsdf = nodes.get('Principled BSDF')\\\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\\\nbsdf.inputs['Roughness'].default_value = 0.22\\\\nbsdf.inputs['Metallic'].default_value = 0.0\\\\nif 'IOR' in bsdf.inputs:\\\\n    bsdf.inputs['IOR'].default_value = 1.45\\\\nif 'Specular IOR Level' in bsdf.inputs:\\\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\\\nif 'Coat Weight' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\\\nif 'Coat Roughness' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\\\n\\\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\\\nwhite_mat.use_nodes = True\\\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\\\nif 'Specular IOR Level' in white_bsdf.inputs:\\\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\\\n\\\\n# White ground plane, exactly at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\\\nfloor = bpy.context.object\\\\nfloor.name = 'Ground_Plane_White'\\\\nfloor.data.name = 'Ground_Plane_Mesh'\\\\nfloor.data.materials.append(white_mat)\\\\n\\\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red_Sphere_1m_Diameter'\\\\nball.data.name = 'Red_Sphere_Mesh'\\\\nball.data.materials.append(red_mat)\\\\nfor poly in ball.data.polygons:\\\\n    poly.use_smooth = True\\\\n# Ensure transforms and dimensions remain explicit and exact\\\\nball.scale = (1.0, 1.0, 1.0)\\\\nbpy.context.view_layer.objects.active = ball\\\\nball.select_set(True)\\\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\\\n\\\\n# Helper for aiming lights and camera\\\\ndef aim_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\\\n\\\\n# Large soft key light, high and camera-left/front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\\\nkey = bpy.context.object\\\\nkey.name = 'Key_Softbox_Large'\\\\nkey.data.name = 'Key_Softbox_Data'\\\\nkey.data.energy = 480.0\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 3.2\\\\nkey.data.color = (1.0, 0.93, 0.88)\\\\naim_at(key, (0.0, 0.0, 0.35))\\\\n\\\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\\\nfill = bpy.context.object\\\\nfill.name = 'Fill_Softbox'\\\\nfill.data.name = 'Fill_Softbox_Data'\\\\nfill.data.energy = 105.0\\\\nfill.data.shape = 'DISK'\\\\nfill.data.size = 3.5\\\\nfill.data.color = (0.80, 0.88, 1.0)\\\\naim_at(fill, (0.0, 0.0, 0.42))\\\\n\\\\n# Gentle rear light for a clean edge highlight, kept subtle\\\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\\\nrim = bpy.context.object\\\\nrim.name = 'Rim_Softbox_Subtle'\\\\nrim.data.name = 'Rim_Softbox_Data'\\\\nrim.data.energy = 115.0\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 2.5\\\\nrim.data.color = (0.92, 0.96, 1.0)\\\\naim_at(rim, (0.0, 0.0, 0.55))\\\\n\\\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation_Camera'\\\\ncam.data.name = 'Presentation_Camera_Data'\\\\ncam.data.lens = 70.0\\\\ncam.data.sensor_width = 36.0\\\\ncam.data.dof.use_dof = False\\\\naim_at(cam, (0.0, 0.0, 0.42))\\\\nscene.camera = cam\\\\n\\\\n# Render / color management\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\ntry:\\\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\\\nexcept Exception:\\\\n    pass\\\\nscene.view_settings.exposure = 0.0\\\\nscene.view_settings.gamma = 1.0\\\\n\\\\n# Make the scene open in camera view for an immediately clear presentation\\\\nfor ob in bpy.context.selected_objects:\\\\n    ob.select_set(False)\\\\ncam.select_set(True)\\\\nbpy.context.view_layer.objects.active = cam\\\\n\\\\n# Save the complete scene and render the presentation\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\\\nprint('RENDER', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.encrypted\",\"data\":\"gAAAAABqVtuMJGXjDE8bCfzsnhJyNIxCjpPK4uBYXIRBhI7azkHBbZhuhdivHR6rfNxmW8fxSH482Kx7httOYDsH-0xHYbARwLp0yYuTvBGEEY81C8HsNLrtiN9X8bS3fdQkhzF08IZg3vxDA0HTYfrZulk3o4C9F6DCOUTj4N5sv0MqywJpvGmVqHEDJHDrWiqdEAmXIwAQQEcF6pZchRroI5tYUwg-e8eeHQVycm4L1OqL_o4HAsry3y4p2A2kXXnmB8oct3KhbfqwoqwrWhdM3Uzl2k2K2wUK_Ld790XDZQOZV7UpKReMVLx0UfLiOG-8LnJjOK8updoULTIKxD3CaUfrPPlQYdGjNAICK2P7jDkTjq0k7KQBQYOyv5MH1erSIPbBpqe3utj7Fb-f6aScF21EoMx9tNqLzC4B2VbwVY-yY89addF_-m6BDxukTv6F8XsGpRsMiSWUyvV1jUI6DT1WofUq3fTram6hw7a6JQNd43-6KidQ3vnujpXrPJyLXlW64iz3XFxXELHMvDLc2j7QOGqC3GnPvv50TR5mH9BryT7aGLN-ld_AIAN9KyD48C3D_Eao5l_qdF7mbH8tHqxL3ucqLaBKMoVFvMVZPndFuFS4KhPIHAkYPbbmS9vDiJnwfkdAyiJQXCNHbehzetBf1EQ8FMOQHfM3Hx4kD-Oce_KkZxxX2Jz_R-JX9OEjtGACtKDDLVHdH_4PPSCZGNo62GycLdTHVP8EFBP9kcc2-czVjVkyOHt8vfd2ZvJ6MX5DQxm6SMOmtrbSoW93vnt-S-Rm6Zc-3OD9wRYEShm9ZSU9Gs-mlBBhDJeIPHeK5Jcbxg8iuYWtOoSMUpFdBI1PbYzZOkxvR9xaEipt_Au1gh-6AfVJ3U2_VnvfhN6DnKuMLR-EvwV2OKCN2kDPhAhdKgv1j5894pFXW2QDzaxBPRcPOKbQ7RuBCKh1HtUt_qWGMy-fGXmc1jMqUy-ahnhu9EAbsrpMuhTJ6nggpgOqGW2Hun7MycWYU8QcCxeZx42PA_kIMPil12eUO8_dyJclK-s-2jRbWc4y8kNMb3O0Gvmt10Rcsb7_IGFWIYvFbKHYDJRF_rzqLr1hfg6BynG1RFt92uPkG6xcL3P99-ODxfm5WypzK0hrsAK3n0v6j4rakac6jnUxtzDW2BytVYUO_cJAqeXpvfTmUqYzr7VBk-kl0yAMVaiukMDMqICSOYhJK02BoxIMX2fy4013KK1dtZ5_9MtZIChORD6SqModrgAiDPyQjE4-czFjByGd960YDi_mfJA1uP7LmjGEYgxHWfjVke81DVXL_hXm56cGRU28DYv4VceC_bYApr8J8e36gsB_xqtXlm-sz9x20Ghi7A83oChHOWrRtZDKpVk9c2X1kAQTMPHzZbL1TeQxJjspi_Srj-TFkS-7V1l_Rcx7etxQzcizTqEcDwys2ssr8eeUVoQfZtO08bNFCULwm9YHdE66uFNSVehMDUsFmTn-40SSb1NPX4Jjk2cSs9tRie51L7AvCjjRt65y2CRuSwARW0y1G7F4gvM58VUYZPZdNSwk_WxS7bm2wDtFteVpqV8E52cQbSUCY_q9TE_ZuBXRokarOLXgMnm6fYmwYbZmLZSrvb9lToL_8W3TyLb87PqZWuer-PBrrmQrwxpd_5f_i_6DgU-RhZIq6TY7GH_aM6OinqLY2WSiIKyDp_RNsDZKGtijDbI_xu6pWRO4HDL-iEspGwk0Q2DdcRLYKbNMtEzv8oNSqz2LrWtP5IGJmvvrdK1OthbGD5GEgvQ2BhRMMLbhs6JUvuzg7ad6n6OIrTwT1EuY6nquPKinu7zzkET6y6WWm3ZYoCU_J5lZv4HJIC9D2aW6KQ2cyv67s38IajchVxXPc_9pAlCWK33TTAfN9excVSazCSiX8YLTM_r2_FEomXqorv3eoGS46gSNVOylv7fPGGvAB_hBzXz1ZdUhgDZ_d_rDRKUpzaJtiTOgS2gGNOn1_0OZIRnY-uw_4K9UcNClKXyDCIoSvAniwOUD0fycMX0pU17-oRYKspfgQd6g5df8Cjl4oT41naetB5a9VuLxN1rjzHKVlcWG0zl2NVMrLvce3otS4dtVDhlQWzl4J7bHTjQSHhn2CmyIyea7FiGj_hGCAuxZPFeLNaBDZKO-vPUu2oR0S0X1K4E9YjqqKhQ72vrl1grl5rLOiju_vRwCc6MeoeXLwhDAyTsWDfbFfH8pz74WBtwZANkQyrsYaq9ncE7McSSbwA38O2MkEoRXyuNG4n_nXBvUJZCDS1OHleOE0D4gX6AuNALnow4KzV6vhNpJP9H9TNjwntmWXeh4IMvEVYKXEaHk5oUP2-gKCAgB8ajeMHZQ37tzQxCfKZUj4elZ56FS773hoiorQsPl6EdahR10taWRgqo-ZDZ8hVLLspA7exQhhT8XpXnybkfD37577Yo3_wnw7rG9fVbozS3MJ3ei0RlE_7tSWoIAJCftmm6T7kQtZUAYDCV6EbjxBpQ9NjDz8QQzoygEaGhWUW_NxKOEoV0JrWZ66ihpd8bihazvnxVmSVoaxa66AkmSCVg_yfoP-pRVYU3u0AP-uGRDK7YsvV_08OVveeN1o5LzQZ3kuP-YbESh4aRjTeGgqrsX0B9CmVK33UvWDS0CzTqEDoshlDT6nwgsYQORI_r1aGAINIVcT3rCaa0slIx1eW8VnElyrMUeeyAjdUdbswGo-LJtYw0pch0sPO2DGGUYkti5hzWRoKqDglgEkBhLjN7cgSS8Pm6J7J7F4pQFJJ1uMLSL6ONYEkGL3yAKp15yKBXaHuhjdZzwAFfx3hRGZXW9Lvh2vnwnLMgztPKErfTfNecc2tUupV4JPVAQsSuHecvypljLVbwP46nj4SgO8LiEZqTGKFWy_bcPifwoCXINdXVgmf4FwcI1P5kVYNs3rksxXzxYAbf3mhoN3dRNB6_PhlX-LKI-lwOyYXtZr1mqRDhJ4CjGQwMwbLKNXPHxIFpLPBrDq-dlzFza36CF3d7zpZOIfzXw8VfEUje_ZYXh359qLddWtBEj5Wju5G8u7exXEjUWGBf4hzuMNAWPe7GviQXM_vkjzqJUYc2hCIqbuRR10_zgbeJOaamQYcCII1FNfQoVRHSm25qnOzFWofxRFbY4cLmLmvfSTSANR1f90cjCzdc7mfGomG39r5WmPgEQNP5tUP13lbo3982EmHjT6G9r9OK0SS4XdpqDiTo6hITvK0u8C84lpHgv7KZ1Y3M0XOfXkUeWPhiWj7TyiF5ssJoThuU3bFoenxl3R-Qk69aLV_Vskk1FfOzkHY0jYm1hBvNQ6N9aipArz8EJNLMr1vXel8VQ19pkVfWBw0luNoOwz8wOGvJVUvZheNmajLmbVevUhYZMPKVGKZCzRG1hJ3Gp9yH74D-T6gGI9ETL1cRjE9Emx3fil1ZEuoCVyUankRqc4zpv51ktiHYNeY8ZyKVdUFujxa7ao0K2f9-ceXLPWEFeoAzMR14kYI6CY0KH3jyk3PLG0Up-r-MmVrpohRaggWk9rwEciMaSlpVS85TtcioZo_34sKk=\",\"format\":\"openai-responses-v1\",\"id\":\"rs_0f85c1ccf6948724016a56db88a05c819095594a40d309df8f\",\"index\":0},{\"type\":\"reasoning.summary\",\"summary\":\"**Optimizing rendering setup**\\n\\nI'm planning to set a large area size of 3 at coordinates (-3,-4,5) with an energy of 500. I might fill the area on the right with parameters (4,-1,2.5), set at an energy of 100 and size 4. I’m considering adding a rim effect, possibly at the top of a smaller area. In Blender 4 EEVEE, I want to explore shadows and perhaps use ray tracing for better quality, leaning towards Cycles for its efficiency.\",\"format\":\"openai-responses-v1\",\"index\":1},{\"type\":\"reasoning.encrypted\",\"data\":\"gAAAAABqVtuQpkIbDcLfZ4qFSF7JqHGEWWyF0UG30KJeVw90LAQW_ZxacgnacyQvf-GBGTgSZMIwgQZ8KqqEWPtI8yFKZEW8-FMYb80uFMw2n9F5cp_emfNqhHNYPpLomwhgCe7MHUwzHBnD6mc9YMfKYuTcZlmEQFISNljPpi1NBtLFEGK9x75FD_kHHbuZzM2fF0fBTdpYJlvgP4MmdG8SrlxQnEMn4DmSC38klfe9X4C-gOEyUgbo4uGwH5HoNH-PdR5oY0AiDuWvksVR7YARrCIWkQfy-JGJZGWxuf7-KXwog5AR91EffDjYhiOytV6RK4S15RGG-1ITkmJOS6IoHyrDk7QeBerlXaYl95ZkXr5jJl46FPc5Igjlm5MfOkH8hsGQbIRY9L7sw5gVZZ0IvJlZADj7pJirFrypJYpvhLW7NFB15aJh6WCMZT6a3Z5sy649NQuoZ0QRGO40S9ZTv5rnOJyL3WNo8aqno4wNL51yCD6PWbxbouAh-7lcWgOMsEAQO6xPDvEY4K9HzcNWVvaUCVi2WVMRrrIqfhsGtA_yXQlxA0Ed8_JawIBqR2HsOe9XEDxip2Ep5DTy4JlfbDhsBAYohxrLzRTP-kGmXKFXmoJpXIl8fJ0kt7p64aAciNs3j3HwE7acSirToAOXXzX_9xOzI_HIgLLB2wr9Scr-J2ALu4T2EqBUaQwWR3KBUbzF5wpyl5IWmUbvps6uNOylpWseaMD_cN6fRnhcj99NYe18_L3kvjDZJs9mlCCg-ZVE6rgJpt_cvRieXt4MJoUii9Hg1DKGp2whlbGzE5lLA00jiGYW0CWWg7hTX2FLz802XnesInyOUvKZ2wVY4eQIt2fFP7r9MRU6sRE6Aqd6Zfs0YUxEc7qN5ZZfZf02FPS3iArKvTYYCwpQ4P_ShQXgkLtY_VD_taq7axUoibIcecPmyAUNir5yNVMiFQZGJNmwHLY4MD4-4KT8578lw85DXQLgTWZjm2vhMRiHE9nytex885LQ3HlS8W72RnLOpaihe1mqwsuGAyQcVO4I2cgjmqtnJ4RuNoF6xFx3Cdon6Nrw28Pul1aLZgNeLYsEtxTjA4vBDBNLfiwJ3omLjK7l8uDRC0kBAGKmiCTQJxsD1_wKszqY_l0jLggCiXLvPheAv6Vq-ToaT1I-42yy9fL826RUa_ta8gJnB1yyMY4PFNTo-0ykDslsqUzexQDT15b1HEWqzesKg2LqVWn1cYn_4fdgiiH9CLD3RT8vgLMz5uqVGJOqzIlFfNEN_VOJNkrpAx9RFs4wfxKLAjKlAvSxCb1GKAgn3MzZCwVrltv-0ydBObjqfDJzskEHdDbtjkQ_sj6xGuPAUhNUnvNcwDenwyWiBCWISt82J4P5ORKFq5lGar7skWBqiRIofYGLvaR4E9SctvB9yTFzad7gjy4wPYYTxeQ1rN3kfn9F1af55yexf5QGOUxxpI3UyfnzZk7LiedNbRCVZ-3y_KEMkoJibz1d3U53_KHHTUKqJiQexxi9Sbw-e8BS9HjCAWBgCh-thaA1TgV4x12RW0KQhCaQtCwQthrfOchPhQvidKErfsGt-96ZbcOKfSsP32IC_Vmz69_JQN60LKnr2USNWj0krX5xpepgcb-iiUGxgMQKMTyyJRBzJjtGe7HhVbB8qw_QBupjn7mmd9hhjq7wi6GaYvNMoWXsTEWriC9jH4mTx3L534UwWkIYm5nERoFLGWxpkMk__qdVGnGqz70GO7FtD_afIXTd4TcveDK_A1v2bKuguO-azqzClwxxqLRo00WHGgXS9-K2dY-NBKjby4ECr_mMZbPv3K1TQLnYOrJGnNiYH90INxJNb3QUwU5xuGdTcQ4DYyXu4EnBMntE2fALNYUh0EhqtPCI-axw6QKK4jNnlCZLkbWR-THGeai-XAliVd_dsGgh-SZOPL3MtLX9K7yaMtY1bxmtkmYvtOXyLBEYDVQOy0CTCib47J-EByApmjoEHJ-sS96RTN_7z1lWFzHL5BFLXazYcl8owQTw43K6UM_ARgBZl3UCs5eNhIM3ABuP7RzG0HsU3sNQnx6A7s2pMY-Zl1v3kxorzy7NBgr5iUTZYifE_qZkUmO8gVSf06HB1KDunZLQmA9g4WV8Kw8n5G3Z1tIx1sYi7MiouKsb4EwxLRRzA93J-lj1Gcs5Y5EWVOSzgBLKEFM7-AsTaiSeeiUhRwgbgHA-5msC8boePasLpUMRW90DDZbigEfYxd7CPHysUMKx-Xb0vRAdhrd5Hcu_PMiVJ_885PckKBLZ0TiSagUVUe3T0kAYz8LZtarul1gYqhCdWtkS8-VwlpUB8mDX3K_IPhu4rUhUWllD9fN_fL41_s0ck-r_AZevevDKTnL11OEjB8cA_7ht6rUOIFCmWlfp3_QEnUZdk-0kmk4FdW24pcIO1PePU5cpyUoK6iU5ibsQ8klQehAPTuLmx7LKcPxb-xT2P9R71EKQDBc8niVUQpEDMySHbykMsaozB7rBNlg2MQSk3vmskBIxsi2RRl_P9PIo5m1NfFMP4Z8PeweUfZvlaQFMrw7AB8-oZN9G8l3BjxzXjfkmb0CzaSqO-2ihLAt2mlCkoqV1JHYMnRhkqHwu3WnS_3hYRxihkutmHPgRCJO-V--0rXX0LcvFBmyy5zIHyHrcM-XBc7vnWq2a6qvchrsIcV5VBv0gUHEZEuc2ecdH2nWXkFTBoM4u31-9ZMw7CshBoczZE-PeNCpfsd6zuI26yTBgGSWpyhCdXh1RtqSlTrjsONjlA4A9dXoI7t3BoPFGqOZCrLRd8ayfUDbFRtbm6-fjhA6NDS-ba76BJaFmmdtMYl4FxHXBADuV7Ar04ueWOLRXmEa6a89YfZUt9Yd2gZLDmPh7i7GyWNAizAxLMg3tiNuAdQambWCiEBD-y6kJm4g9j3h372aqHGpeeIHXSA-mJM689gMcKnsjH6OOx989q9qEvhFX_nAdMHq41zt65NZbs5OEwmwA-cMlbTji7SMdcvIYSsQHX_W9OOEZIC-rw-riMA==gAAAAABqVtuSnrjrSdi8rIsTUUR7Eo0B7s0y6SK2PhtreENe8VuGJ3_ZV_8o2gxjF9ZYS7Eh5AccQ9gNAhv_x7wvnkEFzygQTsY-CDkxQMf0zLSWT0WRv9ecRbYOme8Zfmcmz0-5XMTkXsoYXM_YvVoJywKaaZXKaO__r4CGvWrqtP-Gn_AeuFJTGYK_qRWiv-e51G6drVM6JYVefSSELBPvgXZax2xQsGdBSfzSk_kkFKqI-M_niD4TDrFAdpdA5iK4i8VZ-u6sA4UocKJv1rHnVSgcQNDfSwdpqySeTiTTw9L98RicWBPSmTlfdPqk3DQztmLpIbHLudC-1Oo6ZYQYMYnEyQcRWQ_J4799d8ZXHdRyaVH3EU6V0pX8cXtq60z4Y_RW5wsMsPVdf1rZzkdfbGp7fRZ3AP4CtY_KMtLMVG-4pCc1goudFMIxUBk4XONgSYzhsn0QGElqxTDw_Qvci3nqbXMYED4n-8lloHyl7NJaTH6dv5nfghgMs95z4Df_MlmSvsEWsI_nnq9yEu-_Lr2ZszsWY_f-VPFmQSfu_wMUmVy_OMv0Se4apa2DMaEUQL0_5OtKZTpxEoydGyD2uPwdzbgH6IDA9AJMgeBVdPWj69lnIh5ll3lm0wU5o4iWkuzWzCT7wXhrPHECfno5HpjHmetXAgp30ANu4yyShk24PrfB4Hb7hOmZUhPhlYBs4MNvSpouELNGPzMb32OlaXBvs67xXLFhTNrlBIIYeWaGMvpDpkbPgM2Q_Prjhlx6rNHlvdlfn2QPOO8ZyiISR7ljYKme0LVKZ9BijwGx9J4jo-cTKuRVXUsAcFkGtSPV1UfK6apYQIQW_7Lgf8pI501_SXRbFLWwP3aj3Br7LSuK3ZNVNey_SUvwnUOuxgsL-Yu-7EVZ6kiOKOIBsheavnq5qTibV0rC--pVwt9cj_hy47uuWFz6PXsI0A3sC5NKu-0xNLmLq8nxjHhqgcGPa8VP45-vXAf9qY2Ib_maIne3LMaA2uV-N1aEGHtYRYvNmY-ho8k2hPRZqxHRlZ6101oYWInO8nHZO_fOo91X8_MLtMOJqZbPblq8MCOPyeJYGdYp2vTjOls4_ym2sanBN_AZSXQwVYZCYR4fyiDkfn36nfCHkkI2vlY_MNzcvv8HtWMxaPw9GwVRuH4kvv061tOWWtiSyOsX6bynwDnoFlnHhSuLjNSX6HT5JRi7wbuNeuttrOuriteqU3S0eW6_hiOtJrxe8cqfucQDx-PAFDg-sojTWCypeFAFNBXAH7Pq6X0GY0lib5drThWjV8R_bqIYW-lZZ9VOfTWvNiVZ74REElUlQ4LRMqjveXYrqC_hlS4Xt6zPSaryqPta8XrSPGl7n2NL0_xO_bgegyO7t8FRDjsPbtqiDqoL1viQMC7G8rtzMyvZlGMhoSUa-19n_p8ANW1qPpuCU2gH-bY8UmDnY-clcefUnBYBUninidlX1TSQPt8b6ca4Qj6Tm1EohEgVn_dAAckcF6qzWs_EXnJkw1ErVEg9eix-nghS9Tj8aWNkTsHTULUJnHRhZbxdgkaeinmTgJiRap60vlyGO6j5HuqxU7tjg_CEkhATtLvcq6QBnEyZj8JIxw901y0wjgoYyhqcz0uqprTPd098uoviFEePHVWsisb_-WiQYN1K8XdxJOi8IWtgW08URUKCJhDrWEJbkFjPtjQnoS6XAsD0lzzbI_GqA_YOK02z8rKGplOSF_0_fr25DgQ3M1hITnB79HgZtx6cHn7xFZk7O_uiT5fOwfqe5dP2SXV1UrneMEpLbnm6VIqh0Shy-gFibSBTh5RGL9MmsFno0ncyncVawZ39-02RJsJv-qh_EhGo3r5Gplf3D9LEnULOsrbLGQve5f5QDeK0pWh9rrLFcq5s6yTqpUfFtxldRjJTHQJruWS1kgoC-tO6-p_C3auZXHLp0bP7kv75YD01q_zs6lWUeA6Egm9Z7EFrMlRnnLwGWqQe9aOvsNc1KqFdGYXjqBMQRFjGv_ggGbRk810GvD1S5crJh9XHzFHUfl8t0W0YpisUL8M9O094jyhhXptj6BNhN_hp5W35IOs-Qu9JK9NAOePOI1qppIwixQWAiC2YVfgwwRu1YGE-gZKwzCKzBNtKJv5z0y0eszxAGTs9NLpAs0J_4AsKK_4CnlR0OZSAevMRPesEcQUWDz7u9b9BeuU5AE3qV_WCQhUy2jOSYszzwOm6mv-afaE7Z-5Q90PA8H0A4a7OiGKF0gE0zKi__1bgh1hFbyN7MmaVKKRbnUJUBARYP3J0NWbWRqE_uwJUbVhtzxwxa4dwRjT5ZD8WRL5GIoQK8uVitzds6UBVCthRoxFtfY5FjDbnnZBemeY4lXNh7UAJHI5fM1d_BtN6DjNOE8AWORBE9cVynR8nIHjUAodz6tor2QjJLZJLTGdnI9CKJPcGrdazl4SIT44vjS7_aWPy_863WTTOoWh1jXXFIGSjd7pddnniaaOKZd0L9AVXHcLJZ099stZPdRfZAGTLgqprB4n_KlREdJWeNNSVdn7tRA67CsUiLp8wCebztj5GLQFoDg2GgEtPhwjUgyQRxk89IVsmJcTw6LymZQvVEKidxowrdjnDLjYJE2ithmovt61xCgqH85hbeim0Ts0q6_AhY8Ezl6BG38RWu3Hv91yn7npFY1RmzV8Da2s6gEGWWKJnWS-P8U9YLhcRIb2vAXfPS7kb5HExq1BUcgUGp_ifR2g9th-Jup_-PpvHo7xC5x_z5MZSHBd4pwHL5wwKRnDzjB7SEhgWrILr93aUncdks7CAPxWMmsPLAU_YHVAxG1TZwX4jL2fbjdHJVnYh1TsmswM_II4VQbpZ3KBixWKZ2Frt3e6ylU4CLf2u08qulXt9tf2S-KDtI-fNUfvEhSlhT_ZbkB8CyqfbnILTe-XewGHKLvlTTamq_4d1rreWN7Z39f0uvoGZqpsnbCIzwz0FoUB5rpcf78FWClHF9RCEkATxy_f3VVbb-VbvVKGFhBDuZEB5xVig7oROQRKMoVnTSNwOsWEhKQQU8gH8mfaYvHMl42cef4GAwBn5ZwxSWGSMDbCGQEFZfGUdB-Gw2rs24amzurlAPQxezScQ7jCprxhV7cWdMu42l9dpdeV6cGxNMutiRxjFdBwT2zqTKMCoWbquGwYte0OpAOelByGDskTBhf4bRdoMBr1M3AQTNcjeLvXB_MY98BhrdKrzmlujQGE-eTvMk8qhH9SEQVL1_-Owj56o_UM8xDg7h0fCH3KrnHiZQjQZkYax_ONH6795g9IsjyHVM4sncsuRyCGFRDSPRNspgMns8NYOTix52NRm5Gcxtm9CnL3zG-iUbMh-U0dvJKHaJ_Blp6ea9exig77Jwddw9w3udLw97BjmzY1HXLL6UQPrHct2RqzCAfODQ1pRvbbR5cTrM6nK4xNSXB_di_MlRwdTGXza1G6Jcz4k3ZEe7MfqypdAuaCGyBRKAK3dzFncPKrn5U5JOt3_OB0sNcUGbP3oX4mw4CRiKlGv2SiRbe_5KsG0g6p4EXQrsw==\",\"format\":\"openai-responses-v1\",\"id\":\"rs_0f85c1ccf6948724016a56db8c1de08190a73702d2d141662e\",\"index\":2},{\"type\":\"reasoning.summary\",\"summary\":\"**Ensuring camera visibility**\\n\\nI'm thinking about a plain white plane and how to set the background color. It could be a dark gray to help with shadow ambient, but I need to ensure the plane fills the frame properly. I should use a size of 200 for the plane and tilt the camera downward to make sure all rays are aimed down. If the camera can see the world, it should contrast well with the white plane, avoiding an undesired appearance.**Configuring camera settings**\\n\\nI'm working on camera settings: it should be positioned at z=2.6 with a target of z=0.35. I'm considering a lens with a vertical field of view of about 22° for a resolution of 800x800. With the camera tilted downward, I'm calculating angles and distances to ensure the rays intersect with the plane properly. The plane should remain visible against a white backdrop, and I'm aiming for a sphere's apparent diameter to fit around 27%, but I might want it to be around 35%. A lens of 70 could help achieve that.\",\"format\":\"openai-responses-v1\",\"index\":3},{\"type\":\"reasoning.encrypted\",\"data\":\"gAAAAABqVtuWNRt-58dw9ZqwDvikaDJMWtBmiWocuYZn_ChdUP3LuEgOcPrSF6-i_E8U7gqD44f92GylBg23xKlpY3JNWLJictVLNBoKSKPdT5hNmqzXEZ9-L7lNAh5MC00qVGHMZTZFw31vV0lix_IIjbtrXrnJijJ4DROh-pFgDjE2Py67CevU39CG54E9xliEpPhEwcL8sMV_-bkVShThDouKmWqU0RoA0O7zO-GAAL7dBz-qArRN5Clbom_ihrpZt0zwbMcNYuiQL9kUDY0QW2qXCiVhDBhubIcqXpRNifhmmJYZZ5lnGGftTQhopNpuMPs9_nJNnolgtGnTv8QN6FJuP0mvbTAsj1i0IvOnrlgBXZUyxLC5zWiPoXDiPAilVxrDJm20AB03bYOnAjNcjQXbjz3c0e1shVd_zfSGWsyYucVMzCfrdgNk6GySjUOjrT6e1hunGXfOgcG-ClhhXcEDAGQwmzdG-01VUlQ_YR_bbC65RKPMm3tfLtjwQxv5aM0SH1oAnos8hKZGWv_GljHD9MGsgABdpcF7rXiLEBja0uLwnZRuH2_76Bwg1C931kF3K6ZpYkIzH7WBFPcbmwyrjmGF4nn8mTly-CoeXSHOdzP5mn4IbfGEwbdArBAv0tglJ52ZXSEapRqkg1U20D0gNw5q_h2BSSEym6LupnIF_IMsHomrhVavUwyWZqGZnUW1oQQhRKZtZWagZDB0Masr51LojTpDSabtIPGCoYXehD965lUttJnT1lU59lOppIgofVqL9B9RHEFUyBnr77KS5B7hoeBuXhxfpXaubg6weHw98YyBdEUMBczoiTGsZ65VuAKIT9keOcqWbhfPdo7zTmgGp0YpKkYHLtjnWSELfz0G-C7rctyuP7SLJziSQcSCMn7nyvTslGnp9QP6ucTkLWcROc36fV5-g8EMBFVnnD0mDa732wVxKC5D0uOhdv-4WCO-6JO7iLTTCFTIaTr04OsnV-HpWA1osSPYJYpVICtGQzQy0erOSDAfmky6qsLInexgV62a_x-dneXXXUAUsm-istH39nbdraG9dqllWm2mJLEnP8X9d2mCAc3PTTKPOBeEOnx6B97fjTR7SjeNToS7BtSFP-bjXBtAQB6jTrGzNzS47H8S2dNujTjlWw9TMOL-j_wY0kz0DttDW-c5E-JlqvV2setm-jOSV57MWBqENQmsJocpTbPIX6fByZK7v1rRqG9f6m6y5Z0g8pcah-ppdFOP5SQb1DYb15WqeLEcT-LbpAnixJYKudAtAi7eV6AHLliwbD7FzEAnxLGvdjyiKLUv7IoU9IoYEQu5Y8WoGV5uIKMDbb0sy1fSJTJZyia9rg7RT_rBSLl4hB-IH05Rx5j5gCKV6hpio7uuylDO3DZapSmbof3CiK_v3-s8g4awKVHjCEEE3H4WjEP2HQsrTuGvHNj5wmPxxNgC3Cng2dr0VO8azU9FUW2wg-wALQSwbgZHTIw8sv1oB5is1Rs_W6IOUPIx3ZnUy2N3VpOK_cvac6OywprBGul7z9Gttwzm0sIb6PUDrf6LYUB6Ziz-vzRDMgV4i_uLE2aWJCAlQ9s4GfrepAHDZDAQ2pgkWj7kvTmGPgvcoTuwZhBOBozk48OrCncxtgXn9nK4zc5MWo3qHE2OHMMdNoC-HivoEmlj09r5FpnrWeq55Tg75GHajIdF-s5ieB54sbK3TqGpLB0CsdT7VMqwz1WvGy3z55az_ce0_fOlbxzghlQvUsOrmkCSvQUsQmNWZPsqSbkIPEx6i7tjJ7q0gTgS77eCPj2VAaC6wtm6lghMRQFY_sj59_lk6qy8DqZOBSo-sr-pzhjZ5jeU-PF_TWMXSkknOmjA6lPdkVpB6hXBpyRZ8_J54MOfQ-Op_drkxrkU4BcgwfryKpZ2OolvIUxYm3BA1wJOvjyIOdOVvg01yFwj8HO2whWLyU8bzGFMV3Ric7dRhpRyWcacxpFh-VIXy6l5KF_HWs5C-KwhsucQBULMXbp91y0h4J_AWdMQIghy9ZSNM3TEpP5tlnXAsaK4QkXczVAQpfa7r-tsetWFIJTH4y-lk1woKTEkKJ3Ru7RmcnXMnpHR5ysCqt8MzVLNGNE5omcP1bInCWrQSAeQZrke0oPlR3YiiidrxSQ1DtaXV3xh6rtxaIwFqR7A4geBPYYXdprTLQ7afLjVVZoQiRgq897BdZ9UKemvOrTeCmmN6iJpQRkuQU7HanEY7LD7Pjhq-xcrHs5RcwxBVRJynkNFOTg3k2VU690ERz7OQhzYLGdz_DLW6qsiwt8Ofk_w03mIlw8uQCBfanPj6uzdHF_KpfhlHU4pn8_Kqtu82OGT_kHMTSdTuMNEpskgXNVl54qtkzyEr7hAeDCQ80eK6v5US0bTENiUyoiUqbpxIyL4S2Yq4UQN0Q_WwV9J0hgmx8H6rjGmHOkHWD8n65KObKjDV5Gsm5VWRQoApf0KMrtvYz_UVnIo7Lc7jsiHKVhkNnbTldel6XHJr-QHjWgLVg1BdRQU49CyrDfRjAvSUJtfRED60NpyZgNVvS2kXNjrINqwVWPARsMoI70UJ14dolOH6hNH6LBuGcN-UTGaKlDUf0LmmyZW-BPeySj-v8F6XrAhsjKXgf_ne2KUs20ue3RqcoOL_0ySvsllgsXYU3ycUYEJ8N_Ub3ui5pCbWwrK4M00jix7fIOOmp4xT4gJVg_W5izFnguCXlJfZIsmbmTsVSV-oWyC0tlVb_uxpegEvtQiY86SRjSJztI62kWsbFphVGQpguSJRcaPSvcRp9KTg-iSS-moeh73QZFBio60PaK7_ucaq04NyUUPtNafxSOy8uNZVJaQMNuhkyms4iMrViRbYVBwxj8KLI6_nZBCCpUJxqH1wotcVEe_zSqVvYTkixJyQXLz7rvXxHKMeyXOwuyvQcYmgc4u82dySgDYqirju0WPGbTkkMIgHdIF-RrJKrKOZ4_OALPzKajfkblx2YkzPgIlM0xSNIkXA22EDO2lR20_HmhyzuQrhFIub7InCgGR7gz-RxQ1rv0eEd2DxsFrNcsCMPt9cihauBZc6VP88Rb5H1kEZqyluCwGBHStdThEQU7pZyoVBw7-JYHD3gph94dCfAupxxifhwUFVCkJR1XtZSEbmFIdftAEaqkLsoN0gsebWLOrIFnFuiE9j2PkCPojD-_u8vO-SQhmNRvruLQbPoSOx0OQYMzT2LWbs0b20xOxbOwD7ugLh465-FlE1joe7n3ErmVvLORalKfUJ3taJlxJd0DrdSplsKXT-iJajA==\",\"format\":\"openai-responses-v1\",\"id\":\"rs_0f85c1ccf6948724016a56db92b5c08190816ca33ed6851da3\",\"index\":4},{\"type\":\"reasoning.summary\",\"summary\":\"**Evaluating camera settings**\\n\\nI think I need to set the camera's depth of field off to keep the floor looking crisp. I’m considering naming the collection \\\"Presentation.\\\" I also wonder if I should keep the floor plane at 20 meters instead of 200 to avoid horizon issues. The figures suggest that 20 is enough, especially with ray intersections at certain angles. I’m also pondering shadow softness and whether to use Eevee or Cycles for better 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{"id":"gen-1784077191-kLPyKU3vvLTFafuWP9JE","object":"chat.completion","created":1784077191,"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":null,"tool_calls":[{"type":"function","index":0,"id":"call_IWVOp2n5xP2Et8VSZgFz649f","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}],"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqVtuMJGXjDE8bCfzsnhJyNIxCjpPK4uBYXIRBhI7azkHBbZhuhdivHR6rfNxmW8fxSH482Kx7httOYDsH-0xHYbARwLp0yYuTvBGEEY81C8HsNLrtiN9X8bS3fdQkhzF08IZg3vxDA0HTYfrZulk3o4C9F6DCOUTj4N5sv0MqywJpvGmVqHEDJHDrWiqdEAmXIwAQQEcF6pZchRroI5tYUwg-e8eeHQVycm4L1OqL_o4HAsry3y4p2A2kXXnmB8oct3KhbfqwoqwrWhdM3Uzl2k2K2wUK_Ld790XDZQOZV7UpKReMVLx0UfLiOG-8LnJjOK8updoULTIKxD3CaUfrPPlQYdGjNAICK2P7jDkTjq0k7KQBQYOyv5MH1erSIPbBpqe3utj7Fb-f6aScF21EoMx9tNqLzC4B2VbwVY-yY89addF_-m6BDxukTv6F8XsGpRsMiSWUyvV1jUI6DT1WofUq3fTram6hw7a6JQNd43-6KidQ3vnujpXrPJyLXlW64iz3XFxXELHMvDLc2j7QOGqC3GnPvv50TR5mH9BryT7aGLN-ld_AIAN9KyD48C3D_Eao5l_qdF7mbH8tHqxL3ucqLaBKMoVFvMVZPndFuFS4KhPIHAkYPbbmS9vDiJnwfkdAyiJQXCNHbehzetBf1EQ8FMOQHfM3Hx4kD-Oce_KkZxxX2Jz_R-JX9OEjtGACtKDDLVHdH_4PPSCZGNo62GycLdTHVP8EFBP9kcc2-czVjVkyOHt8vfd2ZvJ6MX5DQxm6SMOmtrbSoW93vnt-S-Rm6Zc-3OD9wRYEShm9ZSU9Gs-mlBBhDJeIPHeK5Jcbxg8iuYWtOoSMUpFdBI1PbYzZOkxvR9xaEipt_Au1gh-6AfVJ3U2_VnvfhN6DnKuMLR-EvwV2OKCN2kDPhAhdKgv1j5894pFXW2QDzaxBPRcPOKbQ7RuBCKh1HtUt_qWGMy-fGXmc1jMqUy-ahnhu9EAbsrpMuhTJ6nggpgOqGW2Hun7MycWYU8QcCxeZx42PA_kIMPil12eUO8_dyJclK-s-2jRbWc4y8kNMb3O0Gvmt10Rcsb7_IGFWIYvFbKHYDJRF_rzqLr1hfg6BynG1RFt92uPkG6xcL3P99-ODxfm5WypzK0hrsAK3n0v6j4rakac6jnUxtzDW2BytVYUO_cJAqeXpvfTmUqYzr7VBk-kl0yAMVaiukMDMqICSOYhJK02BoxIMX2fy4013KK1dtZ5_9MtZIChORD6SqModrgAiDPyQjE4-czFjByGd960YDi_mfJA1uP7LmjGEYgxHWfjVke81DVXL_hXm56cGRU28DYv4VceC_bYApr8J8e36gsB_xqtXlm-sz9x20Ghi7A83oChHOWrRtZDKpVk9c2X1kAQTMPHzZbL1TeQxJjspi_Srj-TFkS-7V1l_Rcx7etxQzcizTqEcDwys2ssr8eeUVoQfZtO08bNFCULwm9YHdE66uFNSVehMDUsFmTn-40SSb1NPX4Jjk2cSs9tRie51L7AvCjjRt65y2CRuSwARW0y1G7F4gvM58VUYZPZdNSwk_WxS7bm2wDtFteVpqV8E52cQbSUCY_q9TE_ZuBXRokarOLXgMnm6fYmwYbZmLZSrvb9lToL_8W3TyLb87PqZWuer-PBrrmQrwxpd_5f_i_6DgU-RhZIq6TY7GH_aM6OinqLY2WSiIKyDp_RNsDZKGtijDbI_xu6pWRO4HDL-iEspGwk0Q2DdcRLYKbNMtEzv8oNSqz2LrWtP5IGJmvvrdK1OthbGD5GEgvQ2BhRMMLbhs6JUvuzg7ad6n6OIrTwT1EuY6nquPKinu7zzkET6y6WWm3ZYoCU_J5lZv4HJIC9D2aW6KQ2cyv67s38IajchVxXPc_9pAlCWK33TTAfN9excVSazCSiX8YLTM_r2_FEomXqorv3eoGS46gSNVOylv7fPGGvAB_hBzXz1ZdUhgDZ_d_rDRKUpzaJtiTOgS2gGNOn1_0OZIRnY-uw_4K9UcNClKXyDCIoSvAniwOUD0fycMX0pU17-oRYKspfgQd6g5df8Cjl4oT41naetB5a9VuLxN1rjzHKVlcWG0zl2NVMrLvce3otS4dtVDhlQWzl4J7bHTjQSHhn2CmyIyea7FiGj_hGCAuxZPFeLNaBDZKO-vPUu2oR0S0X1K4E9YjqqKhQ72vrl1grl5rLOiju_vRwCc6MeoeXLwhDAyTsWDfbFfH8pz74WBtwZANkQyrsYaq9ncE7McSSbwA38O2MkEoRXyuNG4n_nXBvUJZCDS1OHleOE0D4gX6AuNALnow4KzV6vhNpJP9H9TNjwntmWXeh4IMvEVYKXEaHk5oUP2-gKCAgB8ajeMHZQ37tzQxCfKZUj4elZ56FS773hoiorQsPl6EdahR10taWRgqo-ZDZ8hVLLspA7exQhhT8XpXnybkfD37577Yo3_wnw7rG9fVbozS3MJ3ei0RlE_7tSWoIAJCftmm6T7kQtZUAYDCV6EbjxBpQ9NjDz8QQzoygEaGhWUW_NxKOEoV0JrWZ66ihpd8bihazvnxVmSVoaxa66AkmSCVg_yfoP-pRVYU3u0AP-uGRDK7YsvV_08OVveeN1o5LzQZ3kuP-YbESh4aRjTeGgqrsX0B9CmVK33UvWDS0CzTqEDoshlDT6nwgsYQORI_r1aGAINIVcT3rCaa0slIx1eW8VnElyrMUeeyAjdUdbswGo-LJtYw0pch0sPO2DGGUYkti5hzWRoKqDglgEkBhLjN7cgSS8Pm6J7J7F4pQFJJ1uMLSL6ONYEkGL3yAKp15yKBXaHuhjdZzwAFfx3hRGZXW9Lvh2vnwnLMgztPKErfTfNecc2tUupV4JPVAQsSuHecvypljLVbwP46nj4SgO8LiEZqTGKFWy_bcPifwoCXINdXVgmf4FwcI1P5kVYNs3rksxXzxYAbf3mhoN3dRNB6_PhlX-LKI-lwOyYXtZr1mqRDhJ4CjGQwMwbLKNXPHxIFpLPBrDq-dlzFza36CF3d7zpZOIfzXw8VfEUje_ZYXh359qLddWtBEj5Wju5G8u7exXEjUWGBf4hzuMNAWPe7GviQXM_vkjzqJUYc2hCIqbuRR10_zgbeJOaamQYcCII1FNfQoVRHSm25qnOzFWofxRFbY4cLmLmvfSTSANR1f90cjCzdc7mfGomG39r5WmPgEQNP5tUP13lbo3982EmHjT6G9r9OK0SS4XdpqDiTo6hITvK0u8C84lpHgv7KZ1Y3M0XOfXkUeWPhiWj7TyiF5ssJoThuU3bFoenxl3R-Qk69aLV_Vskk1FfOzkHY0jYm1hBvNQ6N9aipArz8EJNLMr1vXel8VQ19pkVfWBw0luNoOwz8wOGvJVUvZheNmajLmbVevUhYZMPKVGKZCzRG1hJ3Gp9yH74D-T6gGI9ETL1cRjE9Emx3fil1ZEuoCVyUankRqc4zpv51ktiHYNeY8ZyKVdUFujxa7ao0K2f9-ceXLPWEFeoAzMR14kYI6CY0KH3jyk3PLG0Up-r-MmVrpohRaggWk9rwEciMaSlpVS85TtcioZo_34sKk=","format":"openai-responses-v1","id":"rs_0f85c1ccf6948724016a56db88a05c819095594a40d309df8f","index":0},{"type":"reasoning.summary","summary":"**Optimizing rendering setup**\n\nI'm planning to set a large area size of 3 at coordinates (-3,-4,5) with an energy of 500. I might fill the area on the right with parameters (4,-1,2.5), set at an energy of 100 and size 4. I’m considering adding a rim effect, possibly at the top of a smaller area. In Blender 4 EEVEE, I want to explore shadows and perhaps use ray tracing for better quality, leaning towards Cycles for its efficiency.","format":"openai-responses-v1","index":1},{"type":"reasoning.encrypted","data":"gAAAAABqVtuQpkIbDcLfZ4qFSF7JqHGEWWyF0UG30KJeVw90LAQW_ZxacgnacyQvf-GBGTgSZMIwgQZ8KqqEWPtI8yFKZEW8-FMYb80uFMw2n9F5cp_emfNqhHNYPpLomwhgCe7MHUwzHBnD6mc9YMfKYuTcZlmEQFISNljPpi1NBtLFEGK9x75FD_kHHbuZzM2fF0fBTdpYJlvgP4MmdG8SrlxQnEMn4DmSC38klfe9X4C-gOEyUgbo4uGwH5HoNH-PdR5oY0AiDuWvksVR7YARrCIWkQfy-JGJZGWxuf7-KXwog5AR91EffDjYhiOytV6RK4S15RGG-1ITkmJOS6IoHyrDk7QeBerlXaYl95ZkXr5jJl46FPc5Igjlm5MfOkH8hsGQbIRY9L7sw5gVZZ0IvJlZADj7pJirFrypJYpvhLW7NFB15aJh6WCMZT6a3Z5sy649NQuoZ0QRGO40S9ZTv5rnOJyL3WNo8aqno4wNL51yCD6PWbxbouAh-7lcWgOMsEAQO6xPDvEY4K9HzcNWVvaUCVi2WVMRrrIqfhsGtA_yXQlxA0Ed8_JawIBqR2HsOe9XEDxip2Ep5DTy4JlfbDhsBAYohxrLzRTP-kGmXKFXmoJpXIl8fJ0kt7p64aAciNs3j3HwE7acSirToAOXXzX_9xOzI_HIgLLB2wr9Scr-J2ALu4T2EqBUaQwWR3KBUbzF5wpyl5IWmUbvps6uNOylpWseaMD_cN6fRnhcj99NYe18_L3kvjDZJs9mlCCg-ZVE6rgJpt_cvRieXt4MJoUii9Hg1DKGp2whlbGzE5lLA00jiGYW0CWWg7hTX2FLz802XnesInyOUvKZ2wVY4eQIt2fFP7r9MRU6sRE6Aqd6Zfs0YUxEc7qN5ZZfZf02FPS3iArKvTYYCwpQ4P_ShQXgkLtY_VD_taq7axUoibIcecPmyAUNir5yNVMiFQZGJNmwHLY4MD4-4KT8578lw85DXQLgTWZjm2vhMRiHE9nytex885LQ3HlS8W72RnLOpaihe1mqwsuGAyQcVO4I2cgjmqtnJ4RuNoF6xFx3Cdon6Nrw28Pul1aLZgNeLYsEtxTjA4vBDBNLfiwJ3omLjK7l8uDRC0kBAGKmiCTQJxsD1_wKszqY_l0jLggCiXLvPheAv6Vq-ToaT1I-42yy9fL826RUa_ta8gJnB1yyMY4PFNTo-0ykDslsqUzexQDT15b1HEWqzesKg2LqVWn1cYn_4fdgiiH9CLD3RT8vgLMz5uqVGJOqzIlFfNEN_VOJNkrpAx9RFs4wfxKLAjKlAvSxCb1GKAgn3MzZCwVrltv-0ydBObjqfDJzskEHdDbtjkQ_sj6xGuPAUhNUnvNcwDenwyWiBCWISt82J4P5ORKFq5lGar7skWBqiRIofYGLvaR4E9SctvB9yTFzad7gjy4wPYYTxeQ1rN3kfn9F1af55yexf5QGOUxxpI3UyfnzZk7LiedNbRCVZ-3y_KEMkoJibz1d3U53_KHHTUKqJiQexxi9Sbw-e8BS9HjCAWBgCh-thaA1TgV4x12RW0KQhCaQtCwQthrfOchPhQvidKErfsGt-96ZbcOKfSsP32IC_Vmz69_JQN60LKnr2USNWj0krX5xpepgcb-iiUGxgMQKMTyyJRBzJjtGe7HhVbB8qw_QBupjn7mmd9hhjq7wi6GaYvNMoWXsTEWriC9jH4mTx3L534UwWkIYm5nERoFLGWxpkMk__qdVGnGqz70GO7FtD_afIXTd4TcveDK_A1v2bKuguO-azqzClwxxqLRo00WHGgXS9-K2dY-NBKjby4ECr_mMZbPv3K1TQLnYOrJGnNiYH90INxJNb3QUwU5xuGdTcQ4DYyXu4EnBMntE2fALNYUh0EhqtPCI-axw6QKK4jNnlCZLkbWR-THGeai-XAliVd_dsGgh-SZOPL3MtLX9K7yaMtY1bxmtkmYvtOXyLBEYDVQOy0CTCib47J-EByApmjoEHJ-sS96RTN_7z1lWFzHL5BFLXazYcl8owQTw43K6UM_ARgBZl3UCs5eNhIM3ABuP7RzG0HsU3sNQnx6A7s2pMY-Zl1v3kxorzy7NBgr5iUTZYifE_qZkUmO8gVSf06HB1KDunZLQmA9g4WV8Kw8n5G3Z1tIx1sYi7MiouKsb4EwxLRRzA93J-lj1Gcs5Y5EWVOSzgBLKEFM7-AsTaiSeeiUhRwgbgHA-5msC8boePasLpUMRW90DDZbigEfYxd7CPHysUMKx-Xb0vRAdhrd5Hcu_PMiVJ_885PckKBLZ0TiSagUVUe3T0kAYz8LZtarul1gYqhCdWtkS8-VwlpUB8mDX3K_IPhu4rUhUWllD9fN_fL41_s0ck-r_AZevevDKTnL11OEjB8cA_7ht6rUOIFCmWlfp3_QEnUZdk-0kmk4FdW24pcIO1PePU5cpyUoK6iU5ibsQ8klQehAPTuLmx7LKcPxb-xT2P9R71EKQDBc8niVUQpEDMySHbykMsaozB7rBNlg2MQSk3vmskBIxsi2RRl_P9PIo5m1NfFMP4Z8PeweUfZvlaQFMrw7AB8-oZN9G8l3BjxzXjfkmb0CzaSqO-2ihLAt2mlCkoqV1JHYMnRhkqHwu3WnS_3hYRxihkutmHPgRCJO-V--0rXX0LcvFBmyy5zIHyHrcM-XBc7vnWq2a6qvchrsIcV5VBv0gUHEZEuc2ecdH2nWXkFTBoM4u31-9ZMw7CshBoczZE-PeNCpfsd6zuI26yTBgGSWpyhCdXh1RtqSlTrjsONjlA4A9dXoI7t3BoPFGqOZCrLRd8ayfUDbFRtbm6-fjhA6NDS-ba76BJaFmmdtMYl4FxHXBADuV7Ar04ueWOLRXmEa6a89YfZUt9Yd2gZLDmPh7i7GyWNAizAxLMg3tiNuAdQambWCiEBD-y6kJm4g9j3h372aqHGpeeIHXSA-mJM689gMcKnsjH6OOx989q9qEvhFX_nAdMHq41zt65NZbs5OEwmwA-cMlbTji7SMdcvIYSsQHX_W9OOEZIC-rw-riMA==gAAAAABqVtuSnrjrSdi8rIsTUUR7Eo0B7s0y6SK2PhtreENe8VuGJ3_ZV_8o2gxjF9ZYS7Eh5AccQ9gNAhv_x7wvnkEFzygQTsY-CDkxQMf0zLSWT0WRv9ecRbYOme8Zfmcmz0-5XMTkXsoYXM_YvVoJywKaaZXKaO__r4CGvWrqtP-Gn_AeuFJTGYK_qRWiv-e51G6drVM6JYVefSSELBPvgXZax2xQsGdBSfzSk_kkFKqI-M_niD4TDrFAdpdA5iK4i8VZ-u6sA4UocKJv1rHnVSgcQNDfSwdpqySeTiTTw9L98RicWBPSmTlfdPqk3DQztmLpIbHLudC-1Oo6ZYQYMYnEyQcRWQ_J4799d8ZXHdRyaVH3EU6V0pX8cXtq60z4Y_RW5wsMsPVdf1rZzkdfbGp7fRZ3AP4CtY_KMtLMVG-4pCc1goudFMIxUBk4XONgSYzhsn0QGElqxTDw_Qvci3nqbXMYED4n-8lloHyl7NJaTH6dv5nfghgMs95z4Df_MlmSvsEWsI_nnq9yEu-_Lr2ZszsWY_f-VPFmQSfu_wMUmVy_OMv0Se4apa2DMaEUQL0_5OtKZTpxEoydGyD2uPwdzbgH6IDA9AJMgeBVdPWj69lnIh5ll3lm0wU5o4iWkuzWzCT7wXhrPHECfno5HpjHmetXAgp30ANu4yyShk24PrfB4Hb7hOmZUhPhlYBs4MNvSpouELNGPzMb32OlaXBvs67xXLFhTNrlBIIYeWaGMvpDpkbPgM2Q_Prjhlx6rNHlvdlfn2QPOO8ZyiISR7ljYKme0LVKZ9BijwGx9J4jo-cTKuRVXUsAcFkGtSPV1UfK6apYQIQW_7Lgf8pI501_SXRbFLWwP3aj3Br7LSuK3ZNVNey_SUvwnUOuxgsL-Yu-7EVZ6kiOKOIBsheavnq5qTibV0rC--pVwt9cj_hy47uuWFz6PXsI0A3sC5NKu-0xNLmLq8nxjHhqgcGPa8VP45-vXAf9qY2Ib_maIne3LMaA2uV-N1aEGHtYRYvNmY-ho8k2hPRZqxHRlZ6101oYWInO8nHZO_fOo91X8_MLtMOJqZbPblq8MCOPyeJYGdYp2vTjOls4_ym2sanBN_AZSXQwVYZCYR4fyiDkfn36nfCHkkI2vlY_MNzcvv8HtWMxaPw9GwVRuH4kvv061tOWWtiSyOsX6bynwDnoFlnHhSuLjNSX6HT5JRi7wbuNeuttrOuriteqU3S0eW6_hiOtJrxe8cqfucQDx-PAFDg-sojTWCypeFAFNBXAH7Pq6X0GY0lib5drThWjV8R_bqIYW-lZZ9VOfTWvNiVZ74REElUlQ4LRMqjveXYrqC_hlS4Xt6zPSaryqPta8XrSPGl7n2NL0_xO_bgegyO7t8FRDjsPbtqiDqoL1viQMC7G8rtzMyvZlGMhoSUa-19n_p8ANW1qPpuCU2gH-bY8UmDnY-clcefUnBYBUninidlX1TSQPt8b6ca4Qj6Tm1EohEgVn_dAAckcF6qzWs_EXnJkw1ErVEg9eix-nghS9Tj8aWNkTsHTULUJnHRhZbxdgkaeinmTgJiRap60vlyGO6j5HuqxU7tjg_CEkhATtLvcq6QBnEyZj8JIxw901y0wjgoYyhqcz0uqprTPd098uoviFEePHVWsisb_-WiQYN1K8XdxJOi8IWtgW08URUKCJhDrWEJbkFjPtjQnoS6XAsD0lzzbI_GqA_YOK02z8rKGplOSF_0_fr25DgQ3M1hITnB79HgZtx6cHn7xFZk7O_uiT5fOwfqe5dP2SXV1UrneMEpLbnm6VIqh0Shy-gFibSBTh5RGL9MmsFno0ncyncVawZ39-02RJsJv-qh_EhGo3r5Gplf3D9LEnULOsrbLGQve5f5QDeK0pWh9rrLFcq5s6yTqpUfFtxldRjJTHQJruWS1kgoC-tO6-p_C3auZXHLp0bP7kv75YD01q_zs6lWUeA6Egm9Z7EFrMlRnnLwGWqQe9aOvsNc1KqFdGYXjqBMQRFjGv_ggGbRk810GvD1S5crJh9XHzFHUfl8t0W0YpisUL8M9O094jyhhXptj6BNhN_hp5W35IOs-Qu9JK9NAOePOI1qppIwixQWAiC2YVfgwwRu1YGE-gZKwzCKzBNtKJv5z0y0eszxAGTs9NLpAs0J_4AsKK_4CnlR0OZSAevMRPesEcQUWDz7u9b9BeuU5AE3qV_WCQhUy2jOSYszzwOm6mv-afaE7Z-5Q90PA8H0A4a7OiGKF0gE0zKi__1bgh1hFbyN7MmaVKKRbnUJUBARYP3J0NWbWRqE_uwJUbVhtzxwxa4dwRjT5ZD8WRL5GIoQK8uVitzds6UBVCthRoxFtfY5FjDbnnZBemeY4lXNh7UAJHI5fM1d_BtN6DjNOE8AWORBE9cVynR8nIHjUAodz6tor2QjJLZJLTGdnI9CKJPcGrdazl4SIT44vjS7_aWPy_863WTTOoWh1jXXFIGSjd7pddnniaaOKZd0L9AVXHcLJZ099stZPdRfZAGTLgqprB4n_KlREdJWeNNSVdn7tRA67CsUiLp8wCebztj5GLQFoDg2GgEtPhwjUgyQRxk89IVsmJcTw6LymZQvVEKidxowrdjnDLjYJE2ithmovt61xCgqH85hbeim0Ts0q6_AhY8Ezl6BG38RWu3Hv91yn7npFY1RmzV8Da2s6gEGWWKJnWS-P8U9YLhcRIb2vAXfPS7kb5HExq1BUcgUGp_ifR2g9th-Jup_-PpvHo7xC5x_z5MZSHBd4pwHL5wwKRnDzjB7SEhgWrILr93aUncdks7CAPxWMmsPLAU_YHVAxG1TZwX4jL2fbjdHJVnYh1TsmswM_II4VQbpZ3KBixWKZ2Frt3e6ylU4CLf2u08qulXt9tf2S-KDtI-fNUfvEhSlhT_ZbkB8CyqfbnILTe-XewGHKLvlTTamq_4d1rreWN7Z39f0uvoGZqpsnbCIzwz0FoUB5rpcf78FWClHF9RCEkATxy_f3VVbb-VbvVKGFhBDuZEB5xVig7oROQRKMoVnTSNwOsWEhKQQU8gH8mfaYvHMl42cef4GAwBn5ZwxSWGSMDbCGQEFZfGUdB-Gw2rs24amzurlAPQxezScQ7jCprxhV7cWdMu42l9dpdeV6cGxNMutiRxjFdBwT2zqTKMCoWbquGwYte0OpAOelByGDskTBhf4bRdoMBr1M3AQTNcjeLvXB_MY98BhrdKrzmlujQGE-eTvMk8qhH9SEQVL1_-Owj56o_UM8xDg7h0fCH3KrnHiZQjQZkYax_ONH6795g9IsjyHVM4sncsuRyCGFRDSPRNspgMns8NYOTix52NRm5Gcxtm9CnL3zG-iUbMh-U0dvJKHaJ_Blp6ea9exig77Jwddw9w3udLw97BjmzY1HXLL6UQPrHct2RqzCAfODQ1pRvbbR5cTrM6nK4xNSXB_di_MlRwdTGXza1G6Jcz4k3ZEe7MfqypdAuaCGyBRKAK3dzFncPKrn5U5JOt3_OB0sNcUGbP3oX4mw4CRiKlGv2SiRbe_5KsG0g6p4EXQrsw==","format":"openai-responses-v1","id":"rs_0f85c1ccf6948724016a56db8c1de08190a73702d2d141662e","index":2},{"type":"reasoning.summary","summary":"**Ensuring camera visibility**\n\nI'm thinking about a plain white plane and how to set the background color. It could be a dark gray to help with shadow ambient, but I need to ensure the plane fills the frame properly. I should use a size of 200 for the plane and tilt the camera downward to make sure all rays are aimed down. If the camera can see the world, it should contrast well with the white plane, avoiding an undesired appearance.**Configuring camera settings**\n\nI'm working on camera settings: it should be positioned at z=2.6 with a target of z=0.35. I'm considering a lens with a vertical field of view of about 22° for a resolution of 800x800. With the camera tilted downward, I'm calculating angles and distances to ensure the rays intersect with the plane properly. The plane should remain visible against a white backdrop, and I'm aiming for a sphere's apparent diameter to fit around 27%, but I might want it to be around 35%. A lens of 70 could help achieve that.","format":"openai-responses-v1","index":3},{"type":"reasoning.encrypted","data":"gAAAAABqVtuWNRt-58dw9ZqwDvikaDJMWtBmiWocuYZn_ChdUP3LuEgOcPrSF6-i_E8U7gqD44f92GylBg23xKlpY3JNWLJictVLNBoKSKPdT5hNmqzXEZ9-L7lNAh5MC00qVGHMZTZFw31vV0lix_IIjbtrXrnJijJ4DROh-pFgDjE2Py67CevU39CG54E9xliEpPhEwcL8sMV_-bkVShThDouKmWqU0RoA0O7zO-GAAL7dBz-qArRN5Clbom_ihrpZt0zwbMcNYuiQL9kUDY0QW2qXCiVhDBhubIcqXpRNifhmmJYZZ5lnGGftTQhopNpuMPs9_nJNnolgtGnTv8QN6FJuP0mvbTAsj1i0IvOnrlgBXZUyxLC5zWiPoXDiPAilVxrDJm20AB03bYOnAjNcjQXbjz3c0e1shVd_zfSGWsyYucVMzCfrdgNk6GySjUOjrT6e1hunGXfOgcG-ClhhXcEDAGQwmzdG-01VUlQ_YR_bbC65RKPMm3tfLtjwQxv5aM0SH1oAnos8hKZGWv_GljHD9MGsgABdpcF7rXiLEBja0uLwnZRuH2_76Bwg1C931kF3K6ZpYkIzH7WBFPcbmwyrjmGF4nn8mTly-CoeXSHOdzP5mn4IbfGEwbdArBAv0tglJ52ZXSEapRqkg1U20D0gNw5q_h2BSSEym6LupnIF_IMsHomrhVavUwyWZqGZnUW1oQQhRKZtZWagZDB0Masr51LojTpDSabtIPGCoYXehD965lUttJnT1lU59lOppIgofVqL9B9RHEFUyBnr77KS5B7hoeBuXhxfpXaubg6weHw98YyBdEUMBczoiTGsZ65VuAKIT9keOcqWbhfPdo7zTmgGp0YpKkYHLtjnWSELfz0G-C7rctyuP7SLJziSQcSCMn7nyvTslGnp9QP6ucTkLWcROc36fV5-g8EMBFVnnD0mDa732wVxKC5D0uOhdv-4WCO-6JO7iLTTCFTIaTr04OsnV-HpWA1osSPYJYpVICtGQzQy0erOSDAfmky6qsLInexgV62a_x-dneXXXUAUsm-istH39nbdraG9dqllWm2mJLEnP8X9d2mCAc3PTTKPOBeEOnx6B97fjTR7SjeNToS7BtSFP-bjXBtAQB6jTrGzNzS47H8S2dNujTjlWw9TMOL-j_wY0kz0DttDW-c5E-JlqvV2setm-jOSV57MWBqENQmsJocpTbPIX6fByZK7v1rRqG9f6m6y5Z0g8pcah-ppdFOP5SQb1DYb15WqeLEcT-LbpAnixJYKudAtAi7eV6AHLliwbD7FzEAnxLGvdjyiKLUv7IoU9IoYEQu5Y8WoGV5uIKMDbb0sy1fSJTJZyia9rg7RT_rBSLl4hB-IH05Rx5j5gCKV6hpio7uuylDO3DZapSmbof3CiK_v3-s8g4awKVHjCEEE3H4WjEP2HQsrTuGvHNj5wmPxxNgC3Cng2dr0VO8azU9FUW2wg-wALQSwbgZHTIw8sv1oB5is1Rs_W6IOUPIx3ZnUy2N3VpOK_cvac6OywprBGul7z9Gttwzm0sIb6PUDrf6LYUB6Ziz-vzRDMgV4i_uLE2aWJCAlQ9s4GfrepAHDZDAQ2pgkWj7kvTmGPgvcoTuwZhBOBozk48OrCncxtgXn9nK4zc5MWo3qHE2OHMMdNoC-HivoEmlj09r5FpnrWeq55Tg75GHajIdF-s5ieB54sbK3TqGpLB0CsdT7VMqwz1WvGy3z55az_ce0_fOlbxzghlQvUsOrmkCSvQUsQmNWZPsqSbkIPEx6i7tjJ7q0gTgS77eCPj2VAaC6wtm6lghMRQFY_sj59_lk6qy8DqZOBSo-sr-pzhjZ5jeU-PF_TWMXSkknOmjA6lPdkVpB6hXBpyRZ8_J54MOfQ-Op_drkxrkU4BcgwfryKpZ2OolvIUxYm3BA1wJOvjyIOdOVvg01yFwj8HO2whWLyU8bzGFMV3Ric7dRhpRyWcacxpFh-VIXy6l5KF_HWs5C-KwhsucQBULMXbp91y0h4J_AWdMQIghy9ZSNM3TEpP5tlnXAsaK4QkXczVAQpfa7r-tsetWFIJTH4y-lk1woKTEkKJ3Ru7RmcnXMnpHR5ysCqt8MzVLNGNE5omcP1bInCWrQSAeQZrke0oPlR3YiiidrxSQ1DtaXV3xh6rtxaIwFqR7A4geBPYYXdprTLQ7afLjVVZoQiRgq897BdZ9UKemvOrTeCmmN6iJpQRkuQU7HanEY7LD7Pjhq-xcrHs5RcwxBVRJynkNFOTg3k2VU690ERz7OQhzYLGdz_DLW6qsiwt8Ofk_w03mIlw8uQCBfanPj6uzdHF_KpfhlHU4pn8_Kqtu82OGT_kHMTSdTuMNEpskgXNVl54qtkzyEr7hAeDCQ80eK6v5US0bTENiUyoiUqbpxIyL4S2Yq4UQN0Q_WwV9J0hgmx8H6rjGmHOkHWD8n65KObKjDV5Gsm5VWRQoApf0KMrtvYz_UVnIo7Lc7jsiHKVhkNnbTldel6XHJr-QHjWgLVg1BdRQU49CyrDfRjAvSUJtfRED60NpyZgNVvS2kXNjrINqwVWPARsMoI70UJ14dolOH6hNH6LBuGcN-UTGaKlDUf0LmmyZW-BPeySj-v8F6XrAhsjKXgf_ne2KUs20ue3RqcoOL_0ySvsllgsXYU3ycUYEJ8N_Ub3ui5pCbWwrK4M00jix7fIOOmp4xT4gJVg_W5izFnguCXlJfZIsmbmTsVSV-oWyC0tlVb_uxpegEvtQiY86SRjSJztI62kWsbFphVGQpguSJRcaPSvcRp9KTg-iSS-moeh73QZFBio60PaK7_ucaq04NyUUPtNafxSOy8uNZVJaQMNuhkyms4iMrViRbYVBwxj8KLI6_nZBCCpUJxqH1wotcVEe_zSqVvYTkixJyQXLz7rvXxHKMeyXOwuyvQcYmgc4u82dySgDYqirju0WPGbTkkMIgHdIF-RrJKrKOZ4_OALPzKajfkblx2YkzPgIlM0xSNIkXA22EDO2lR20_HmhyzuQrhFIub7InCgGR7gz-RxQ1rv0eEd2DxsFrNcsCMPt9cihauBZc6VP88Rb5H1kEZqyluCwGBHStdThEQU7pZyoVBw7-JYHD3gph94dCfAupxxifhwUFVCkJR1XtZSEbmFIdftAEaqkLsoN0gsebWLOrIFnFuiE9j2PkCPojD-_u8vO-SQhmNRvruLQbPoSOx0OQYMzT2LWbs0b20xOxbOwD7ugLh465-FlE1joe7n3ErmVvLORalKfUJ3taJlxJd0DrdSplsKXT-iJajA==","format":"openai-responses-v1","id":"rs_0f85c1ccf6948724016a56db92b5c08190816ca33ed6851da3","index":4},{"type":"reasoning.summary","summary":"**Evaluating camera settings**\n\nI think I need to set the camera's depth of field off to keep the floor looking crisp. I’m considering naming the collection \"Presentation.\" I also wonder if I should keep the floor plane at 20 meters instead of 200 to avoid horizon issues. The figures suggest that 20 is enough, especially with ray intersections at certain angles. I’m also pondering shadow softness and whether to use Eevee or Cycles for better results.","format":"openai-responses-v1","index":5},{"type":"reasoning.encrypted","data":"gAAAAABqVtuazjgP7sHccGP_MI4co68MpPGQm1lUNzzZbCsokoTdR0p9MPtJvx9SzYhJMN39QWm9Y8jcFwAXMKIzOPPdAdIVEcbtmGSluz-GUzSlJIL2LXDvtn-F-yfh3JO4wgVveWOaVPLGw7ZXXhrrHzPC-qkCly43aT32ktEKBRCUokGQfzOb3XKShMzrJ8BkOMKT05PhgozDp3vDLa1eR69DoDVicFYnYzZ3ctXxMavP6nWk9rjCSwwCQVEQ39VlKsxXbqqj-ZXDMsMGUPtaMLckFvprpF4lzBVbx0K856qo8ynIx-3wpoFe3OlcZuDQxo9GUArxyxl1xmHIWiQKQ9vP3JpHaR18JzkNVxR-zAD8tDCdHDk-8IPuYxXCvRc5kbyVP3nKxm9VHcTNW3-c1CleUSaCDFWDucrm--wKi-bGgeylikxLzYyfitrqjRMzdBCJXQhqSrXN-Zi1b2EjSyvRC8F8CuAsCovit7U0fb52TXtTtdtFHHCAO7TpNUv_aMHdm2EDLAFehNSMrsGHFaGC4QZtlJSY4UieEm4Zxyz-SyAkehQxUvDmC9jMDdKduGieoJNKLuNJ95wX4Wb_hL0JNhFJGTCYnJrUWgJUUN4E1O56G-1wmaKMGTHzLuW2wlfDrIUu29WxL8uj_uvVzTExSoeEzdk9EyPQj_jwpMtTfRioOcxeyZYKDhvfDJ50thA9PaIIfhKOsqIx-J1syzxkl9pNSRJfpYxe0GJugmhp-oVmYtP71L4_BIAtlYA6Ijwv04Gq5v-k1RO4tDk5sGH_GXhOlaTPwG3V1eHjxpG9lrN-eMuFi7Q4w8FI1OjnuyoiAsfmh1bKMjZWLJySPydYBV1ukcQnqyY1PrtehgAYrliCY0u-Gp2MKI93Wq0lGxELG5pD9Xvdy2e0E75wFA2K8SImJnT89JwTSkYfMBnS5Z5yTafmJkGeJr5U6Hf7mqk9qnS-uJxqgtrcLayMJuF8Lj_7YGhbdNGxOkO9Vo7-GbKzR2qN-k4VkhwqUTePG79JcWxX8h83SZcTZrhEeyYac15I77FYPPoyU1e8KPFkGkFWSEpAjFz4aNIT42fzvIhskUzWnzu0L6LXGbQa8zIYP4hJWjEiidMjK7Kt9NhoE9xykugVe_7EAA3owpzCH2SCMyd_GSRKpY90fRhkPI5EwEQP4zOy9v_lKnLHPZqWqwDfuWos4AP7pI74tdbuHgtKs0VL0vNDPG-_tpkVCWW9-y0jwnpqe8V4SIB5aehUjdjr31e_-CpR18DYegcnsLsGncVlthKc9AnEa6y0hAR9V6jRuFgfD0HMTWq60ALvfx5hwPvgm_ad1iMe_gav_MpcixOTnr-kEoh_mFM7sHQoGtmLUmEvzQrivuDs-P98tSnyGYdSYUo49uy0LZlelTi3CiB0laAm21Hc6GZE3TS1LOeqjZYqp2L81FAkCWWfd7p8n88tJ8OIRD14hMwB_OokGKb5gXa9LRkxZtMkJaxIomoXo2aGaNHGr5IaOLAEaiUB45Wg1m1YEUGk0maO3yJ3ymqAqiyK3UxPm6idmvv71Y5ofv_L8jvW4ZIUyzXXJepgUyGx2eklQTiLMV0Z5dql5mI-fDApYuyElARMff3xmJCL20EgBLz_obT9P2gXP_z2eucXXFtJIR9l1hLn0-oh45iPSN43QVvZwpkVJfteo3TbHvmBk6eqIkhXWeyPAdLDUcGo5bY0t2dd9x2SCUSoc_amuzTrMGIaVPyo6JCvYzlxQ_8RurCf_LzvxAQt8tMev2Zvi_K166TRoX3qET70fBTyRxpxsk5-5MN0eFpz26amOOsbh2niL-bVI6pDqC7GZujv5UFjR37JMNxea6_dKcu0MLuSc8fktGeb0GuuKa-7K26Gis2gw8Ea7KR6LOEE2FtOpk1p_g9VXFj6VnTA4b0UxTzNMkGBTj7Lsu9VIk8plMbi1KvpqWkxJ2c9AbXPlsc5HTAF8imeLhhQEVIKQmo1-VPL2oW_0KnA7lv_1MMjPPNoTCYo4HwAeZKEz-iLyot2Mm61yeckHEWYPuWZf9Ima9TNQg2zHIDMvsDvl3bhQw4XCj0GVMpXfS0pnYYpA7t4IVTQ2Ci9p7Xr4u6zCLjIP8zK8pUWbXVv7gSGiW_gWdy3UmdQGHwGvejSjAOJiOCXE9g4RNMnJIaJ7LmJ4iARlo6iPA2JIlGwJc8dKS096F4z6YoxmiSoEpSOe_53SyP-rrexDSCRd0ELxUkGtQTZD9ms-abVuFuvM-8FqMT8s48ZbXSZBusvElksn3X6-WgDh92gQAn2NVkiXU_QbftYv-9eun9hBN9nYnx1rb3uBrThsCSSr8xdFwthh3FoH162bBQpOk_LqV53nqaLt2WEdfVWrORjqNset-XKi-hDtUrcgxEFfQspVaQhV1nz2qAxXYlsgvEEPfLTcKcYADRH1KVnrj3NEMVdGlOXi4aHcyriZkMtuamGiTzpOiQ-WElF2FXjFoRUvHZSE63XVEwst55NhJXIidKTJs5ozZgL-JvK9QCD9XxrLFMrnYX3COvCw35kIRbMRC9kAO9m_TmE6pJfS-DBO16jIKVxF_3NbGSxBpwx4g301gLaysT7Zj_zTrK_2l7C4GX8GeZBE4wcwqtMPBIgdSQjXNbvJ7IgzFoowv1qyChh48sQx0fVex34Xvtw9_arfK_bWYqzo2uE7fNi3nim-OYqgQ-PnSQDNnXFXUhEoxplJ24uSxQh4AuoQ3r3rZqHo_14hHOXYhfkbEr3m4mVmUZWO8b5zk1aYIrdEGNpuMcBcvY0QGAOxPNYH4EMvG0VlHIi3L0Ow3Wc9B3fgHsX2W2SVqhJWBtPSamoYJpRNnxZLHMtW_X9YvP8ijYd9XtlTANWXd3dynfn1IYzXHQoPs9yXWZJHtZeXbDWtmTOWMdMBBHsghQsqgl_ptirlnVZShyoMZj9d96-uxv3qujkQTu8yoJp70-mmTVfpePyiTsO6aUETK-DLrzjqc11BBMOCbETOR173hsVUiFyCDecTadrByWGYl2ZLWTJ5blgo393qyvmA_BOpmQzpL9u9vix8FACtKJzgo3pTfuIlasRq3oROzBlTl9fqYhpYNEx0dYip4oUzOsnEVk3t2pPgBQlGk9xQNOsg4XMQjf7df5xjNoisqfjYaypXY489coSND6UvVWfH_I56kiWb8xqnYCXnvEfqEkDCdEMc-MRSwjF1XFtLNf6OABx6oDnINMq_9SoCC7fGFItIfV_iH66K0ODfoyFXAGeheq5LlCVkVG0KY8O2RK1UMo0EM2TRSpBNEKBTndkp3EhG6TBBPDYK8YEc61qZPzMXmzcMRKZfocslXY55b3O7XHE7K-M93hrvFAk7k4EiOehFlMJh_ovEIbiw8XutPkIVy9hPfSNGTkZd3UD5WU2g4XbiLdGLATRGHLn5cg06LEGUhI8OZBls6MU4L55U09RWUTbpAB2m5Afk1he6UjvQ6XINrLC9icl_udDQmbzmVzdW4TJd5ygnBt9AZnutNJx6fP2OLr_VSC0I5ZUdR9ZgGdeM6q2XytDgC2Nlf7uHVSZTaVarLaSBi48gTkM5i7QKAsNgAAAAABqVtucMI0ToOg-inbUBXegTis803N5ozYGfjPwo0L08bxAJy_eTo3w-vwTsw2J0PvZnXpBKw2OHvj7f3KcvqFRl68PPq4NRE7cvObvow-5mcMQsSwCocv7hg_7G3BlWg4M7YWz01-aqOuiKCcOcNpxzg7GKXkAbeTc9Uu2LHCvlNQW6sCPamOwwt4MawW1wAjljtR6mkQTzo-XMsSX1WMpo5qVck8c8aI1c4RzcWxADgR_uEzxxcqPqNAC12wMacvb5UsQ1k6Ns2KllTp06bUQC-94twvnMEnALmmM47jh-JHxzI7PWdnu8J13rY788YOHnTbi-B2F5_6KiQPtPZOD-HJdEXrc3oTA1gYnjPx7TZMMrzhf9XsfDPrtcttJQIbCx9RDQE9mYCAVbPXyEUDBFcPXBrfFMEAfHPpMi1ajS3FCIatT3nUN2_OQehpjqtDJXj532D5QLq8lPfadErdIE_3aGE2CRVx30siwUph9VJ4yTRAskCS04H0gcGF2KJGGUDAMc7irEco_jTOmakXa4jlM8M3BjAWMA2apuxDVVjLf22vgneOZMZTjzQnn6Q42cowtAyo6SLOzKN2nMuqEF_Yb7hvsoNgtIFiy0oBuoeiTD8Pd0v8exXzyUHwqlhVPQz7_7zLwgg56Ov9-5V7JIZ_GfJ3BQZ3XjvUh5E0qvAlei5qLlcZswu1Z6LGxLo32PLm0qcq38GhJn7gUpj3C2EYw-7XcFMo6xcYD_UDl9Ct87B9VvIEH4dgKYYDDDez-d1wWjxOffaRtDhzRM3SQWthUMOX4eUQi-6OXEs9heEfA9TtOx7KbEBfwxaZsV3nq7vP6pxh1NmvB97ezICfAzCUaXKT1ASSYZT1DfUygEtpTHdbLW2jHg80XXdgh38dEbXg8UnDL-7SpKpK8aJkfDIThVKWjcnj9SlA_OLf1NcU0UGK4Y1Nc9wfbGjGhsoIxGLUkw-lKiUhSa1DisS5CccZmf9j1Q_digWXyqeM9yZLeF-57DEjs-0ZdrLMJm38xxUECVE-Fv2sSwzodfGAlYqWYcQCcfCYRjZgsqPc9huBcYDblaJyZQgCiM_PrJ_AOwyTZ8ckomWfKmtTCbZUVkfIcha2mBvGi35bQHt8tU4lNZbVYN1FyRn-INchnIstYDYDC7RFOM7-e9NU8OJyFAiW_GkbhD20hBIpuTAIUbA-IaoyLy1pofzLOnAxiAbgezWKEwNqbcAvvNFHnXJPHvBmIElc9g3AJHf3xnVpVSz10cx10NU_truYRr0hCyy9uZdfqjV9625hq0oBar0-YRAfJvw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"error": null}], "response": {"text": null, "tool_calls": [{"id": "call_IWVOp2n5xP2Et8VSZgFz649f", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n\n# Reset to a clean scene\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\n    pass\n\nscene = bpy.context.scene\nscene.unit_settings.system = 'METRIC'\nscene.unit_settings.length_unit = 'METERS'\n\n# World: restrained neutral ambient, with the floor filling the camera view\nworld = scene.world or bpy.data.worlds.new('World')\nscene.world = world\nworld.use_nodes = True\nbg = world.node_tree.nodes.get('Background')\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\nbg.inputs['Strength'].default_value = 0.22\n\n# Materials\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\nred_mat.use_nodes = True\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\nred_mat.roughness = 0.22\nnodes = red_mat.node_tree.nodes\nbsdf = nodes.get('Principled BSDF')\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\nbsdf.inputs['Roughness'].default_value = 0.22\nbsdf.inputs['Metallic'].default_value = 0.0\nif 'IOR' in bsdf.inputs:\n    bsdf.inputs['IOR'].default_value = 1.45\nif 'Specular IOR Level' in bsdf.inputs:\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\nif 'Coat Weight' in bsdf.inputs:\n    bsdf.inputs['Coat Weight'].default_value = 0.08\nif 'Coat Roughness' in bsdf.inputs:\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\n\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\nwhite_mat.use_nodes = True\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\nif 'Specular IOR Level' in white_bsdf.inputs:\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\n\n# White ground plane, exactly at z=0\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\nfloor = bpy.context.object\nfloor.name = 'Ground_Plane_White'\nfloor.data.name = 'Ground_Plane_Mesh'\nfloor.data.materials.append(white_mat)\n\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\nball = bpy.context.object\nball.name = 'Red_Sphere_1m_Diameter'\nball.data.name = 'Red_Sphere_Mesh'\nball.data.materials.append(red_mat)\nfor poly in ball.data.polygons:\n    poly.use_smooth = True\n# Ensure transforms and dimensions remain explicit and exact\nball.scale = (1.0, 1.0, 1.0)\nbpy.context.view_layer.objects.active = ball\nball.select_set(True)\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n\n# Helper for aiming lights and camera\ndef aim_at(obj, target):\n    direction = Vector(target) - obj.location\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\n\n# Large soft key light, high and camera-left/front\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\nkey = bpy.context.object\nkey.name = 'Key_Softbox_Large'\nkey.data.name = 'Key_Softbox_Data'\nkey.data.energy = 480.0\nkey.data.shape = 'DISK'\nkey.data.size = 3.2\nkey.data.color = (1.0, 0.93, 0.88)\naim_at(key, (0.0, 0.0, 0.35))\n\n# Low-power fill prevents the unlit side from going dead while preserving modeling\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\nfill = bpy.context.object\nfill.name = 'Fill_Softbox'\nfill.data.name = 'Fill_Softbox_Data'\nfill.data.energy = 105.0\nfill.data.shape = 'DISK'\nfill.data.size = 3.5\nfill.data.color = (0.80, 0.88, 1.0)\naim_at(fill, (0.0, 0.0, 0.42))\n\n# Gentle rear light for a clean edge highlight, kept subtle\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\nrim = bpy.context.object\nrim.name = 'Rim_Softbox_Subtle'\nrim.data.name = 'Rim_Softbox_Data'\nrim.data.energy = 115.0\nrim.data.shape = 'DISK'\nrim.data.size = 2.5\nrim.data.color = (0.92, 0.96, 1.0)\naim_at(rim, (0.0, 0.0, 0.55))\n\n# Camera: slightly elevated, looking down enough that the plane fills the frame\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\ncam = bpy.context.object\ncam.name = 'Presentation_Camera'\ncam.data.name = 'Presentation_Camera_Data'\ncam.data.lens = 70.0\ncam.data.sensor_width = 36.0\ncam.data.dof.use_dof = False\naim_at(cam, (0.0, 0.0, 0.42))\nscene.camera = cam\n\n# Render / color management\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\ntry:\n    scene.view_settings.look = 'AgX - Medium High Contrast'\nexcept Exception:\n    pass\nscene.view_settings.exposure = 0.0\nscene.view_settings.gamma = 1.0\n\n# Make the scene open in camera view for an immediately clear presentation\nfor ob in bpy.context.selected_objects:\n    ob.select_set(False)\ncam.select_set(True)\nbpy.context.view_layer.objects.active = cam\n\n# Save the complete scene and render the presentation\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\nbpy.ops.render.render(write_still=True)\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\nprint('RENDER', scene.render.filepath)\n", "user_prompt": "Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}", "parse_error": null}], "tokens_in": 3332, "tokens_out": 4851, "cost_usd": 0.02955575, "cached_tokens": 3230}, "error": null}
{"ts": "2026-07-15T01:00:21.905129+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_IWVOp2n5xP2Et8VSZgFz649f", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n\n# Reset to a clean scene\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\n    pass\n\nscene = bpy.context.scene\nscene.unit_settings.system = 'METRIC'\nscene.unit_settings.length_unit = 'METERS'\n\n# World: restrained neutral ambient, with the floor filling the camera view\nworld = scene.world or bpy.data.worlds.new('World')\nscene.world = world\nworld.use_nodes = True\nbg = world.node_tree.nodes.get('Background')\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\nbg.inputs['Strength'].default_value = 0.22\n\n# Materials\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\nred_mat.use_nodes = True\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\nred_mat.roughness = 0.22\nnodes = red_mat.node_tree.nodes\nbsdf = nodes.get('Principled BSDF')\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\nbsdf.inputs['Roughness'].default_value = 0.22\nbsdf.inputs['Metallic'].default_value = 0.0\nif 'IOR' in bsdf.inputs:\n    bsdf.inputs['IOR'].default_value = 1.45\nif 'Specular IOR Level' in bsdf.inputs:\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\nif 'Coat Weight' in bsdf.inputs:\n    bsdf.inputs['Coat Weight'].default_value = 0.08\nif 'Coat Roughness' in bsdf.inputs:\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\n\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\nwhite_mat.use_nodes = True\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\nif 'Specular IOR Level' in white_bsdf.inputs:\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\n\n# White ground plane, exactly at z=0\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\nfloor = bpy.context.object\nfloor.name = 'Ground_Plane_White'\nfloor.data.name = 'Ground_Plane_Mesh'\nfloor.data.materials.append(white_mat)\n\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\nball = bpy.context.object\nball.name = 'Red_Sphere_1m_Diameter'\nball.data.name = 'Red_Sphere_Mesh'\nball.data.materials.append(red_mat)\nfor poly in ball.data.polygons:\n    poly.use_smooth = True\n# Ensure transforms and dimensions remain explicit and exact\nball.scale = (1.0, 1.0, 1.0)\nbpy.context.view_layer.objects.active = ball\nball.select_set(True)\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n\n# Helper for aiming lights and camera\ndef aim_at(obj, target):\n    direction = Vector(target) - obj.location\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\n\n# Large soft key light, high and camera-left/front\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\nkey = bpy.context.object\nkey.name = 'Key_Softbox_Large'\nkey.data.name = 'Key_Softbox_Data'\nkey.data.energy = 480.0\nkey.data.shape = 'DISK'\nkey.data.size = 3.2\nkey.data.color = (1.0, 0.93, 0.88)\naim_at(key, (0.0, 0.0, 0.35))\n\n# Low-power fill prevents the unlit side from going dead while preserving modeling\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\nfill = bpy.context.object\nfill.name = 'Fill_Softbox'\nfill.data.name = 'Fill_Softbox_Data'\nfill.data.energy = 105.0\nfill.data.shape = 'DISK'\nfill.data.size = 3.5\nfill.data.color = (0.80, 0.88, 1.0)\naim_at(fill, (0.0, 0.0, 0.42))\n\n# Gentle rear light for a clean edge highlight, kept subtle\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\nrim = bpy.context.object\nrim.name = 'Rim_Softbox_Subtle'\nrim.data.name = 'Rim_Softbox_Data'\nrim.data.energy = 115.0\nrim.data.shape = 'DISK'\nrim.data.size = 2.5\nrim.data.color = (0.92, 0.96, 1.0)\naim_at(rim, (0.0, 0.0, 0.55))\n\n# Camera: slightly elevated, looking down enough that the plane fills the frame\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\ncam = bpy.context.object\ncam.name = 'Presentation_Camera'\ncam.data.name = 'Presentation_Camera_Data'\ncam.data.lens = 70.0\ncam.data.sensor_width = 36.0\ncam.data.dof.use_dof = False\naim_at(cam, (0.0, 0.0, 0.42))\nscene.camera = cam\n\n# Render / color management\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\ntry:\n    scene.view_settings.look = 'AgX - Medium High Contrast'\nexcept Exception:\n    pass\nscene.view_settings.exposure = 0.0\nscene.view_settings.gamma = 1.0\n\n# Make the scene open in camera view for an immediately clear presentation\nfor ob in bpy.context.selected_objects:\n    ob.select_set(False)\ncam.select_set(True)\nbpy.context.view_layer.objects.active = cam\n\n# Save the complete scene and render the presentation\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\nbpy.ops.render.render(write_still=True)\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\nprint('RENDER', scene.render.filepath)\n", "user_prompt": "Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:00:21.905129+00:00", "type": "tool_call", "id": "call_IWVOp2n5xP2Et8VSZgFz649f", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n\n# Reset to a clean scene\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\n    pass\n\nscene = bpy.context.scene\nscene.unit_settings.system = 'METRIC'\nscene.unit_settings.length_unit = 'METERS'\n\n# World: restrained neutral ambient, with the floor filling the camera view\nworld = scene.world or bpy.data.worlds.new('World')\nscene.world = world\nworld.use_nodes = True\nbg = world.node_tree.nodes.get('Background')\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\nbg.inputs['Strength'].default_value = 0.22\n\n# Materials\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\nred_mat.use_nodes = True\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\nred_mat.roughness = 0.22\nnodes = red_mat.node_tree.nodes\nbsdf = nodes.get('Principled BSDF')\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\nbsdf.inputs['Roughness'].default_value = 0.22\nbsdf.inputs['Metallic'].default_value = 0.0\nif 'IOR' in bsdf.inputs:\n    bsdf.inputs['IOR'].default_value = 1.45\nif 'Specular IOR Level' in bsdf.inputs:\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\nif 'Coat Weight' in bsdf.inputs:\n    bsdf.inputs['Coat Weight'].default_value = 0.08\nif 'Coat Roughness' in bsdf.inputs:\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\n\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\nwhite_mat.use_nodes = True\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\nif 'Specular IOR Level' in white_bsdf.inputs:\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\n\n# White ground plane, exactly at z=0\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\nfloor = bpy.context.object\nfloor.name = 'Ground_Plane_White'\nfloor.data.name = 'Ground_Plane_Mesh'\nfloor.data.materials.append(white_mat)\n\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\nball = bpy.context.object\nball.name = 'Red_Sphere_1m_Diameter'\nball.data.name = 'Red_Sphere_Mesh'\nball.data.materials.append(red_mat)\nfor poly in ball.data.polygons:\n    poly.use_smooth = True\n# Ensure transforms and dimensions remain explicit and exact\nball.scale = (1.0, 1.0, 1.0)\nbpy.context.view_layer.objects.active = ball\nball.select_set(True)\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n\n# Helper for aiming lights and camera\ndef aim_at(obj, target):\n    direction = Vector(target) - obj.location\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\n\n# Large soft key light, high and camera-left/front\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\nkey = bpy.context.object\nkey.name = 'Key_Softbox_Large'\nkey.data.name = 'Key_Softbox_Data'\nkey.data.energy = 480.0\nkey.data.shape = 'DISK'\nkey.data.size = 3.2\nkey.data.color = (1.0, 0.93, 0.88)\naim_at(key, (0.0, 0.0, 0.35))\n\n# Low-power fill prevents the unlit side from going dead while preserving modeling\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\nfill = bpy.context.object\nfill.name = 'Fill_Softbox'\nfill.data.name = 'Fill_Softbox_Data'\nfill.data.energy = 105.0\nfill.data.shape = 'DISK'\nfill.data.size = 3.5\nfill.data.color = (0.80, 0.88, 1.0)\naim_at(fill, (0.0, 0.0, 0.42))\n\n# Gentle rear light for a clean edge highlight, kept subtle\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\nrim = bpy.context.object\nrim.name = 'Rim_Softbox_Subtle'\nrim.data.name = 'Rim_Softbox_Data'\nrim.data.energy = 115.0\nrim.data.shape = 'DISK'\nrim.data.size = 2.5\nrim.data.color = (0.92, 0.96, 1.0)\naim_at(rim, (0.0, 0.0, 0.55))\n\n# Camera: slightly elevated, looking down enough that the plane fills the frame\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\ncam = bpy.context.object\ncam.name = 'Presentation_Camera'\ncam.data.name = 'Presentation_Camera_Data'\ncam.data.lens = 70.0\ncam.data.sensor_width = 36.0\ncam.data.dof.use_dof = False\naim_at(cam, (0.0, 0.0, 0.42))\nscene.camera = cam\n\n# Render / color management\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\ntry:\n    scene.view_settings.look = 'AgX - Medium High Contrast'\nexcept Exception:\n    pass\nscene.view_settings.exposure = 0.0\nscene.view_settings.gamma = 1.0\n\n# Make the scene open in camera view for an immediately clear presentation\nfor ob in bpy.context.selected_objects:\n    ob.select_set(False)\ncam.select_set(True)\nbpy.context.view_layer.objects.active = cam\n\n# Save the complete scene and render the presentation\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\nbpy.ops.render.render(write_still=True)\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\nprint('RENDER', scene.render.filepath)\n", "user_prompt": "Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}
{"ts": "2026-07-15T01:00:22.031948+00:00", "type": "tool_result", "tool_call_id": "call_IWVOp2n5xP2Et8VSZgFz649f", "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": "2026-07-15T01:00:24.782011+00:00", "type": "llm_call", "call_index": 3, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:00:22.032951+00:00", "finished_at": "2026-07-15T01:00:24.782011+00:00", "duration_s": 2.75, "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_IWVOp2n5xP2Et8VSZgFz649f", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_IWVOp2n5xP2Et8VSZgFz649f", "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": "2026-07-15T01:00:22.032951+00:00", "finished_at": "2026-07-15T01:00:24.781011+00:00", "duration_s": 2.75, "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": "25477", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\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\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Reset to a clean scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\nscene = bpy.context.scene\\\\nscene.unit_settings.system = 'METRIC'\\\\nscene.unit_settings.length_unit = 'METERS'\\\\n\\\\n# World: restrained neutral ambient, with the floor filling the camera view\\\\nworld = scene.world or bpy.data.worlds.new('World')\\\\nscene.world = world\\\\nworld.use_nodes = True\\\\nbg = world.node_tree.nodes.get('Background')\\\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\\\nbg.inputs['Strength'].default_value = 0.22\\\\n\\\\n# Materials\\\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\\\nred_mat.use_nodes = True\\\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\\\nred_mat.roughness = 0.22\\\\nnodes = red_mat.node_tree.nodes\\\\nbsdf = nodes.get('Principled BSDF')\\\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\\\nbsdf.inputs['Roughness'].default_value = 0.22\\\\nbsdf.inputs['Metallic'].default_value = 0.0\\\\nif 'IOR' in bsdf.inputs:\\\\n    bsdf.inputs['IOR'].default_value = 1.45\\\\nif 'Specular IOR Level' in bsdf.inputs:\\\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\\\nif 'Coat Weight' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\\\nif 'Coat Roughness' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\\\n\\\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\\\nwhite_mat.use_nodes = True\\\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\\\nif 'Specular IOR Level' in white_bsdf.inputs:\\\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\\\n\\\\n# White ground plane, exactly at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\\\nfloor = bpy.context.object\\\\nfloor.name = 'Ground_Plane_White'\\\\nfloor.data.name = 'Ground_Plane_Mesh'\\\\nfloor.data.materials.append(white_mat)\\\\n\\\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red_Sphere_1m_Diameter'\\\\nball.data.name = 'Red_Sphere_Mesh'\\\\nball.data.materials.append(red_mat)\\\\nfor poly in ball.data.polygons:\\\\n    poly.use_smooth = True\\\\n# Ensure transforms and dimensions remain explicit and exact\\\\nball.scale = (1.0, 1.0, 1.0)\\\\nbpy.context.view_layer.objects.active = ball\\\\nball.select_set(True)\\\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\\\n\\\\n# Helper for aiming lights and camera\\\\ndef aim_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\\\n\\\\n# Large soft key light, high and camera-left/front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\\\nkey = bpy.context.object\\\\nkey.name = 'Key_Softbox_Large'\\\\nkey.data.name = 'Key_Softbox_Data'\\\\nkey.data.energy = 480.0\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 3.2\\\\nkey.data.color = (1.0, 0.93, 0.88)\\\\naim_at(key, (0.0, 0.0, 0.35))\\\\n\\\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\\\nfill = bpy.context.object\\\\nfill.name = 'Fill_Softbox'\\\\nfill.data.name = 'Fill_Softbox_Data'\\\\nfill.data.energy = 105.0\\\\nfill.data.shape = 'DISK'\\\\nfill.data.size = 3.5\\\\nfill.data.color = (0.80, 0.88, 1.0)\\\\naim_at(fill, (0.0, 0.0, 0.42))\\\\n\\\\n# Gentle rear light for a clean edge highlight, kept subtle\\\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\\\nrim = bpy.context.object\\\\nrim.name = 'Rim_Softbox_Subtle'\\\\nrim.data.name = 'Rim_Softbox_Data'\\\\nrim.data.energy = 115.0\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 2.5\\\\nrim.data.color = (0.92, 0.96, 1.0)\\\\naim_at(rim, (0.0, 0.0, 0.55))\\\\n\\\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation_Camera'\\\\ncam.data.name = 'Presentation_Camera_Data'\\\\ncam.data.lens = 70.0\\\\ncam.data.sensor_width = 36.0\\\\ncam.data.dof.use_dof = False\\\\naim_at(cam, (0.0, 0.0, 0.42))\\\\nscene.camera = cam\\\\n\\\\n# Render / color management\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\ntry:\\\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\\\nexcept Exception:\\\\n    pass\\\\nscene.view_settings.exposure = 0.0\\\\nscene.view_settings.gamma = 1.0\\\\n\\\\n# Make the scene open in camera view for an immediately clear presentation\\\\nfor ob in bpy.context.selected_objects:\\\\n    ob.select_set(False)\\\\ncam.select_set(True)\\\\nbpy.context.view_layer.objects.active = cam\\\\n\\\\n# Save the complete scene and render the presentation\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\\\nprint('RENDER', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"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\"}}}],\"reasoning\":{\"effort\":\"max\"}}", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_GSbmDHMKQUM3cJcKICLP0LTI","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_GSbmDHMKQUM3cJcKICLP0LTI","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_IWVOp2n5xP2Et8VSZgFz649f","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_IWVOp2n5xP2Et8VSZgFz649f","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. 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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": "2026-07-15T01:00:28.805410+00:00", "type": "llm_call", "call_index": 4, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:00:24.807900+00:00", "finished_at": "2026-07-15T01:00:28.805410+00:00", "duration_s": 4.0, "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_IWVOp2n5xP2Et8VSZgFz649f", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_IWVOp2n5xP2Et8VSZgFz649f", "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_i89iO6oTYii6hcx7DY2CuBQg", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Verify the red sphere, white floor, lighting, and camera scene after setup.\"}"}}]}, {"role": "tool", "tool_call_id": "call_i89iO6oTYii6hcx7DY2CuBQg", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 6,\n  \"objects\": [\n    {\n      \"name\": \"Ground_Plane_White\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.0\n      ]\n    },\n    {\n      \"name\": \"Red_Sphere_1m_Diameter\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.5\n      ]\n    },\n    {\n      \"name\": \"Key_Softbox_Large\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        -3.6,\n        -4.2,\n        5.5\n      ]\n    },\n    {\n      \"name\": \"Fill_Softbox\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        4.0,\n        -1.8,\n        3.0\n      ]\n    },\n    {\n      \"name\": \"Rim_Softbox_Subtle\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        1.5,\n        3.5,\n        4.2\n      ]\n    },\n    {\n      \"name\": \"Presentation_Camera\",\n      \"type\": \"CAMERA\",\n      \"location\": [\n        3.0,\n        -4.2,\n        2.5\n      ]\n    }\n  ],\n  \"materials_count\": 4\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": "2026-07-15T01:00:24.807900+00:00", "finished_at": "2026-07-15T01:00:28.804412+00:00", "duration_s": 4.0, "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": "26854", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\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\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Reset to a clean scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\nscene = bpy.context.scene\\\\nscene.unit_settings.system = 'METRIC'\\\\nscene.unit_settings.length_unit = 'METERS'\\\\n\\\\n# World: restrained neutral ambient, with the floor filling the camera view\\\\nworld = scene.world or bpy.data.worlds.new('World')\\\\nscene.world = world\\\\nworld.use_nodes = True\\\\nbg = world.node_tree.nodes.get('Background')\\\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\\\nbg.inputs['Strength'].default_value = 0.22\\\\n\\\\n# Materials\\\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\\\nred_mat.use_nodes = True\\\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\\\nred_mat.roughness = 0.22\\\\nnodes = red_mat.node_tree.nodes\\\\nbsdf = nodes.get('Principled BSDF')\\\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\\\nbsdf.inputs['Roughness'].default_value = 0.22\\\\nbsdf.inputs['Metallic'].default_value = 0.0\\\\nif 'IOR' in bsdf.inputs:\\\\n    bsdf.inputs['IOR'].default_value = 1.45\\\\nif 'Specular IOR Level' in bsdf.inputs:\\\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\\\nif 'Coat Weight' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\\\nif 'Coat Roughness' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\\\n\\\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\\\nwhite_mat.use_nodes = True\\\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\\\nif 'Specular IOR Level' in white_bsdf.inputs:\\\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\\\n\\\\n# White ground plane, exactly at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\\\nfloor = bpy.context.object\\\\nfloor.name = 'Ground_Plane_White'\\\\nfloor.data.name = 'Ground_Plane_Mesh'\\\\nfloor.data.materials.append(white_mat)\\\\n\\\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red_Sphere_1m_Diameter'\\\\nball.data.name = 'Red_Sphere_Mesh'\\\\nball.data.materials.append(red_mat)\\\\nfor poly in ball.data.polygons:\\\\n    poly.use_smooth = True\\\\n# Ensure transforms and dimensions remain explicit and exact\\\\nball.scale = (1.0, 1.0, 1.0)\\\\nbpy.context.view_layer.objects.active = ball\\\\nball.select_set(True)\\\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\\\n\\\\n# Helper for aiming lights and camera\\\\ndef aim_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\\\n\\\\n# Large soft key light, high and camera-left/front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\\\nkey = bpy.context.object\\\\nkey.name = 'Key_Softbox_Large'\\\\nkey.data.name = 'Key_Softbox_Data'\\\\nkey.data.energy = 480.0\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 3.2\\\\nkey.data.color = (1.0, 0.93, 0.88)\\\\naim_at(key, (0.0, 0.0, 0.35))\\\\n\\\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\\\nfill = bpy.context.object\\\\nfill.name = 'Fill_Softbox'\\\\nfill.data.name = 'Fill_Softbox_Data'\\\\nfill.data.energy = 105.0\\\\nfill.data.shape = 'DISK'\\\\nfill.data.size = 3.5\\\\nfill.data.color = (0.80, 0.88, 1.0)\\\\naim_at(fill, (0.0, 0.0, 0.42))\\\\n\\\\n# Gentle rear light for a clean edge highlight, kept subtle\\\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\\\nrim = bpy.context.object\\\\nrim.name = 'Rim_Softbox_Subtle'\\\\nrim.data.name = 'Rim_Softbox_Data'\\\\nrim.data.energy = 115.0\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 2.5\\\\nrim.data.color = (0.92, 0.96, 1.0)\\\\naim_at(rim, (0.0, 0.0, 0.55))\\\\n\\\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation_Camera'\\\\ncam.data.name = 'Presentation_Camera_Data'\\\\ncam.data.lens = 70.0\\\\ncam.data.sensor_width = 36.0\\\\ncam.data.dof.use_dof = False\\\\naim_at(cam, (0.0, 0.0, 0.42))\\\\nscene.camera = cam\\\\n\\\\n# Render / color management\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\ntry:\\\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\\\nexcept Exception:\\\\n    pass\\\\nscene.view_settings.exposure = 0.0\\\\nscene.view_settings.gamma = 1.0\\\\n\\\\n# Make the scene open in camera view for an immediately clear presentation\\\\nfor ob in bpy.context.selected_objects:\\\\n    ob.select_set(False)\\\\ncam.select_set(True)\\\\nbpy.context.view_layer.objects.active = cam\\\\n\\\\n# Save the complete scene and render the presentation\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\\\nprint('RENDER', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"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_i89iO6oTYii6hcx7DY2CuBQg\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Verify the red sphere, white floor, lighting, and camera scene after setup.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_i89iO6oTYii6hcx7DY2CuBQg\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 6,\\n  \\\"objects\\\": [\\n    {\\n      \\\"name\\\": \\\"Ground_Plane_White\\\",\\n      \\\"type\\\": \\\"MESH\\\",\\n      \\\"location\\\": [\\n        0.0,\\n        0.0,\\n        0.0\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Red_Sphere_1m_Diameter\\\",\\n      \\\"type\\\": \\\"MESH\\\",\\n      \\\"location\\\": [\\n        0.0,\\n        0.0,\\n        0.5\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Key_Softbox_Large\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        -3.6,\\n        -4.2,\\n        5.5\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Fill_Softbox\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        4.0,\\n        -1.8,\\n        3.0\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Rim_Softbox_Subtle\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        1.5,\\n        3.5,\\n        4.2\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Presentation_Camera\\\",\\n      \\\"type\\\": \\\"CAMERA\\\",\\n      \\\"location\\\": [\\n        3.0,\\n        -4.2,\\n        2.5\\n      ]\\n    }\\n  ],\\n  \\\"materials_count\\\": 4\\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\"}}}],\"reasoning\":{\"effort\":\"max\"}}", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_GSbmDHMKQUM3cJcKICLP0LTI","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_GSbmDHMKQUM3cJcKICLP0LTI","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_IWVOp2n5xP2Et8VSZgFz649f","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_IWVOp2n5xP2Et8VSZgFz649f","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_i89iO6oTYii6hcx7DY2CuBQg","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Verify the red sphere, white floor, lighting, and camera scene after setup.\"}"}}]},{"role":"tool","tool_call_id":"call_i89iO6oTYii6hcx7DY2CuBQg","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 6,\n  \"objects\": [\n    {\n      \"name\": \"Ground_Plane_White\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.0\n      ]\n    },\n    {\n      \"name\": \"Red_Sphere_1m_Diameter\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.5\n      ]\n    },\n    {\n      \"name\": \"Key_Softbox_Large\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        -3.6,\n        -4.2,\n        5.5\n      ]\n    },\n    {\n      \"name\": \"Fill_Softbox\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        4.0,\n        -1.8,\n        3.0\n      ]\n    },\n    {\n      \"name\": \"Rim_Softbox_Subtle\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        1.5,\n        3.5,\n        4.2\n      ]\n    },\n    {\n      \"name\": \"Presentation_Camera\",\n      \"type\": \"CAMERA\",\n      \"location\": [\n        3.0,\n        -4.2,\n        2.5\n      ]\n    }\n  ],\n  \"materials_count\": 4\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. 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"}
{"ts": "2026-07-15T01:00:30.161123+00:00", "type": "image", "tool": "get_viewport_screenshot"}
{"ts": "2026-07-15T01:00:37.508615+00:00", "type": "llm_call", "call_index": 5, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:00:30.161123+00:00", "finished_at": "2026-07-15T01:00:37.508615+00:00", "duration_s": 7.3439999999827705, "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_IWVOp2n5xP2Et8VSZgFz649f", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_IWVOp2n5xP2Et8VSZgFz649f", "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_i89iO6oTYii6hcx7DY2CuBQg", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Verify the red sphere, white floor, lighting, and camera scene after setup.\"}"}}]}, {"role": "tool", "tool_call_id": "call_i89iO6oTYii6hcx7DY2CuBQg", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 6,\n  \"objects\": [\n    {\n      \"name\": \"Ground_Plane_White\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.0\n      ]\n    },\n    {\n      \"name\": \"Red_Sphere_1m_Diameter\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.5\n      ]\n    },\n    {\n      \"name\": \"Key_Softbox_Large\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        -3.6,\n        -4.2,\n        5.5\n      ]\n    },\n    {\n      \"name\": \"Fill_Softbox\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        4.0,\n        -1.8,\n        3.0\n      ]\n    },\n    {\n      \"name\": \"Rim_Softbox_Subtle\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        1.5,\n        3.5,\n        4.2\n      ]\n    },\n    {\n      \"name\": \"Presentation_Camera\",\n      \"type\": \"CAMERA\",\n      \"location\": [\n        3.0,\n        -4.2,\n        2.5\n      ]\n    }\n  ],\n  \"materials_count\": 4\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_dDyhHjdaP0cAEtCHFcvFUygM", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Inspect the current Blender viewport to verify composition of the sphere on the white plane.\"}"}}]}, {"role": "tool", "tool_call_id": "call_dDyhHjdaP0cAEtCHFcvFUygM", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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"}}]}], "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": "2026-07-15T01:00:30.161123+00:00", "finished_at": "2026-07-15T01:00:37.507615+00:00", "duration_s": 7.3439999999827705, "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": "198964", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\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\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Reset to a clean scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\nscene = bpy.context.scene\\\\nscene.unit_settings.system = 'METRIC'\\\\nscene.unit_settings.length_unit = 'METERS'\\\\n\\\\n# World: restrained neutral ambient, with the floor filling the camera view\\\\nworld = scene.world or bpy.data.worlds.new('World')\\\\nscene.world = world\\\\nworld.use_nodes = True\\\\nbg = world.node_tree.nodes.get('Background')\\\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\\\nbg.inputs['Strength'].default_value = 0.22\\\\n\\\\n# Materials\\\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\\\nred_mat.use_nodes = True\\\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\\\nred_mat.roughness = 0.22\\\\nnodes = red_mat.node_tree.nodes\\\\nbsdf = nodes.get('Principled BSDF')\\\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\\\nbsdf.inputs['Roughness'].default_value = 0.22\\\\nbsdf.inputs['Metallic'].default_value = 0.0\\\\nif 'IOR' in bsdf.inputs:\\\\n    bsdf.inputs['IOR'].default_value = 1.45\\\\nif 'Specular IOR Level' in bsdf.inputs:\\\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\\\nif 'Coat Weight' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\\\nif 'Coat Roughness' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\\\n\\\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\\\nwhite_mat.use_nodes = True\\\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\\\nif 'Specular IOR Level' in white_bsdf.inputs:\\\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\\\n\\\\n# White ground plane, exactly at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\\\nfloor = bpy.context.object\\\\nfloor.name = 'Ground_Plane_White'\\\\nfloor.data.name = 'Ground_Plane_Mesh'\\\\nfloor.data.materials.append(white_mat)\\\\n\\\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red_Sphere_1m_Diameter'\\\\nball.data.name = 'Red_Sphere_Mesh'\\\\nball.data.materials.append(red_mat)\\\\nfor poly in ball.data.polygons:\\\\n    poly.use_smooth = True\\\\n# Ensure transforms and dimensions remain explicit and exact\\\\nball.scale = (1.0, 1.0, 1.0)\\\\nbpy.context.view_layer.objects.active = ball\\\\nball.select_set(True)\\\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\\\n\\\\n# Helper for aiming lights and camera\\\\ndef aim_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\\\n\\\\n# Large soft key light, high and camera-left/front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\\\nkey = bpy.context.object\\\\nkey.name = 'Key_Softbox_Large'\\\\nkey.data.name = 'Key_Softbox_Data'\\\\nkey.data.energy = 480.0\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 3.2\\\\nkey.data.color = (1.0, 0.93, 0.88)\\\\naim_at(key, (0.0, 0.0, 0.35))\\\\n\\\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\\\nfill = bpy.context.object\\\\nfill.name = 'Fill_Softbox'\\\\nfill.data.name = 'Fill_Softbox_Data'\\\\nfill.data.energy = 105.0\\\\nfill.data.shape = 'DISK'\\\\nfill.data.size = 3.5\\\\nfill.data.color = (0.80, 0.88, 1.0)\\\\naim_at(fill, (0.0, 0.0, 0.42))\\\\n\\\\n# Gentle rear light for a clean edge highlight, kept subtle\\\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\\\nrim = bpy.context.object\\\\nrim.name = 'Rim_Softbox_Subtle'\\\\nrim.data.name = 'Rim_Softbox_Data'\\\\nrim.data.energy = 115.0\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 2.5\\\\nrim.data.color = (0.92, 0.96, 1.0)\\\\naim_at(rim, (0.0, 0.0, 0.55))\\\\n\\\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation_Camera'\\\\ncam.data.name = 'Presentation_Camera_Data'\\\\ncam.data.lens = 70.0\\\\ncam.data.sensor_width = 36.0\\\\ncam.data.dof.use_dof = False\\\\naim_at(cam, (0.0, 0.0, 0.42))\\\\nscene.camera = cam\\\\n\\\\n# Render / color management\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\ntry:\\\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\\\nexcept Exception:\\\\n    pass\\\\nscene.view_settings.exposure = 0.0\\\\nscene.view_settings.gamma = 1.0\\\\n\\\\n# Make the scene open in camera view for an immediately clear presentation\\\\nfor ob in bpy.context.selected_objects:\\\\n    ob.select_set(False)\\\\ncam.select_set(True)\\\\nbpy.context.view_layer.objects.active = cam\\\\n\\\\n# Save the complete scene and render the presentation\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\\\nprint('RENDER', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"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_i89iO6oTYii6hcx7DY2CuBQg\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Verify the red sphere, white floor, lighting, and camera scene after setup.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_i89iO6oTYii6hcx7DY2CuBQg\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 6,\\n  \\\"objects\\\": [\\n    {\\n      \\\"name\\\": \\\"Ground_Plane_White\\\",\\n      \\\"type\\\": \\\"MESH\\\",\\n      \\\"location\\\": [\\n        0.0,\\n        0.0,\\n        0.0\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Red_Sphere_1m_Diameter\\\",\\n      \\\"type\\\": \\\"MESH\\\",\\n      \\\"location\\\": [\\n        0.0,\\n        0.0,\\n        0.5\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Key_Softbox_Large\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        -3.6,\\n        -4.2,\\n        5.5\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Fill_Softbox\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        4.0,\\n        -1.8,\\n        3.0\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Rim_Softbox_Subtle\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        1.5,\\n        3.5,\\n        4.2\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Presentation_Camera\\\",\\n      \\\"type\\\": \\\"CAMERA\\\",\\n      \\\"location\\\": [\\n        3.0,\\n        -4.2,\\n        2.5\\n      ]\\n    }\\n  ],\\n  \\\"materials_count\\\": 4\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_dDyhHjdaP0cAEtCHFcvFUygM\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Inspect the current Blender viewport to verify composition of the sphere on the white 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\"}}]}],\"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\"}}}],\"reasoning\":{\"effort\":\"max\"}}", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_GSbmDHMKQUM3cJcKICLP0LTI","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_GSbmDHMKQUM3cJcKICLP0LTI","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_IWVOp2n5xP2Et8VSZgFz649f","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_IWVOp2n5xP2Et8VSZgFz649f","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_i89iO6oTYii6hcx7DY2CuBQg","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Verify the red sphere, white floor, lighting, and camera scene after setup.\"}"}}]},{"role":"tool","tool_call_id":"call_i89iO6oTYii6hcx7DY2CuBQg","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 6,\n  \"objects\": [\n    {\n      \"name\": \"Ground_Plane_White\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.0\n      ]\n    },\n    {\n      \"name\": \"Red_Sphere_1m_Diameter\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.5\n      ]\n    },\n    {\n      \"name\": \"Key_Softbox_Large\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        -3.6,\n        -4.2,\n        5.5\n      ]\n    },\n    {\n      \"name\": \"Fill_Softbox\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        4.0,\n        -1.8,\n        3.0\n      ]\n    },\n    {\n      \"name\": \"Rim_Softbox_Subtle\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        1.5,\n        3.5,\n        4.2\n      ]\n    },\n    {\n      \"name\": \"Presentation_Camera\",\n      \"type\": \"CAMERA\",\n      \"location\": [\n        3.0,\n        -4.2,\n        2.5\n      ]\n    }\n  ],\n  \"materials_count\": 4\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_dDyhHjdaP0cAEtCHFcvFUygM","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Inspect the current Blender viewport to verify composition of the sphere on the white 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"}}]}],"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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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. 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{"id":"gen-1784077229-zmtmfmLJTLkU1FsK6Y3I","object":"chat.completion","created":1784077229,"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":"**Debugging render settings**\n\nI need to continue working on the scene we’ve partially created until we hit a render engine assignment error. It seems like I need to check the current materials count, which might be four due to existing defaults. I should confirm the dimensions of the ball and floor and then set the render engine depending on availability. The user wants this task completed, so it’s important to render and inspect the screenshot meticulously. I noticed the materials count increased because I deleted objects but not materials. I’ll need to set the engine to 'BLENDER_EEVEE' and maybe use ambient occlusion settings.**Calculating sphere size**\n\nI’m wondering if the sphere is too small. I should do some calculations: with a distance of 5.74, a focal length of 70, and a sensor size of 36, the horizontal field of view is 28.8°. I’m estimating the sphere's projected diameter at this distance and considering it might appear only about 14% of the screen width. I think I need to compose the sphere around 25-35% of the frame. 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It seems like I need to check the current materials count, which might be four due to existing defaults. I should confirm the dimensions of the ball and floor and then set the render engine depending on availability. The user wants this task completed, so it’s important to render and inspect the screenshot meticulously. I noticed the materials count increased because I deleted objects but not materials. I’ll need to set the engine to 'BLENDER_EEVEE' and maybe use ambient occlusion settings.**Calculating sphere size**\n\nI’m wondering if the sphere is too small. I should do some calculations: with a distance of 5.74, a focal length of 70, and a sensor size of 36, the horizontal field of view is 28.8°. I’m estimating the sphere's projected diameter at this distance and considering it might appear only about 14% of the screen width. I think I need to compose the sphere around 25-35% of the frame. Since the vertical FOV stays the same at 28.8°, I’ll proceed to render it now.","format":"openai-responses-v1","index":0},{"type":"reasoning.encrypted","data":"gAAAAABqVtuzN5eYwhdK4Qeh6tkSYWMWG6Ad_XRbkxZycUHqMX5xjP8gx83Ef0wIcdkRJkVZeGBC6evFqoF3IXlaHIvFk-mXdcwuMEsDMKS6om8pDcHevNq5A1KfLwqYMJoIl9vPsRkY3ymFMOJQD413R0_xMYxwWMvRJ0h2eq7SAi1qHUvS-cc1zgP13455BxkjgzqU3w_tPvOXiiGQDISZrmMaM44v7MMqanGzl1NW_bNlwrYFMzG-uR7JOTREuRqwtFho5xPCwf5ekSuQ4E7DEZcWeEzfNuG1K8lQgA3Uqb42iyaYMR56BLDt5_CrybZQbA6Sv1KhJmWAK5JgFxRjn4eZehYPl9cnlMzG06Ndvs17ONyt_wzSFZUadbG9mD7Pc2P6-w4RRrV3EaR9NZCGexO2mIIQtKZ-2tO65teITcp5ibJYUxufh7mUt0W9u5ujRpKTs0G4_ZxyHPK8tLbVp-yuGFu1HEILkw-yGUzuepGoOPkVoUei4cISQ_XJi9jKzZhlClocYqrnf_RKaaJ4IIYynJHQzGt3BR4wY9RakRnKV-zpsaKEt2MphFlKJl-4o6duGM9VJueNU3unQ3y1xCrF-xJYnxBY8-IWmfF1loxB8MDizXkNbKGgRo8hLVF9uhzF5uiwhQvMjiXvC42yZyfo4aZdnKw1D1BfHDQrer7BcGuVxCxh5yavedy7bdC7DW9iSaiYv1dE701HFVQ_qrIbZd_nzf0FA_tbWfhi3LhYiTgnXHNcaKb6QR_-w1uSrSZPeha2N-GWwUfxQRqfzgu9weZn4EBdT0qR0GF2ouXgnKfFK5uFdpg96zog9YJau-2pYBXMJ6KC5AkBEuL6T_b_xZWOIZROTsOixC9gSSlh5iCShmbGwxXxWDmFz2osxU-a1KuU2GM-6jlziXjB_7UktnOiEQ1M-B1lyKuApMm8NuiHjjre8PejDOyVS6cqR2T_tBFKMEJJiUpSLRW1xFumUqfQzf9iK7MtdLbIJ1HEF6r9x0Hb2z9gqxKWA3p91VGq4gz0jTlDMTPW8EMS_ngaRW_6oWw2oIsNCJVMN0mu7jjcPiYjSyhr_SvoNL4sPulxE_RlFnMs0akvwrWr4yfP1tlAtre3VBMD1ck-X9wEWmDbFhPDWoDD2sC3hnyquQso9Bl2ofIwkMX0GSF8XIdMTYj_xUZjUE_nIel8ApuxYyJodI8ddpjmt1siIK1cru-F8o4nZqprSfS8X8ncVGSAmmJW0wDZ2dCbX1Hxjcy0-_0b8tBq7aVf5MeESFy6SmRZDGAcmuEsgAlHuLrjW_dtsApdJGejKCZPEupr9NhphWESku591gpJMebqkEiLNdZxd62f73zzTx0p_Qm-GL9K0swQSI-lVwR7PN7swe_2SoefvErlEak-vl7-nzD-tXDOq7j_cWdeByt9G_JGYOUACUJkJESQ1sN1Ylo6OcjCUtWYLDWZTFGv7BVqvpp8epsQWLlv3Zs1GfZA4YGZSLlg620FoBqSJp3o7od7VT3hzzBSnGZ29Me8F5szpSgTQ7tJ2eOI3XtCnLTpalvWbnh9mCYxqNxB-voBCa_yNsM9_TR44hqS6HgWXpQa1uL6hBb6a-O1RWgPujgIQH0OqmWfMT1RocqJK92fUSOfKdxHsUzs5VMEmkHJSZkhXqjzSIZIT67mrN4I8-Y872PNVw9s4o3CWAYtzpsIAbAP8bevXGFWm9EaTo6QNbhxJbHonBuNsIn2hAzSf2rwYYmWh26iKcyigMySZ4-Todn8do-heuXbYdhVCv_-UJngcpp6gg9G6iAewa5g4VUUfo1bvpEHeEfOepG1WZsGq1TS-7bZKN5q72ugW6krk1JTZYcg4GbRBVI9wzXXUdCcI65zsJFMJTMKjvKtmqFSeftjF9TCcuqb1Xw0B05NpQnMiQ_Xy8nt2arxQMDbzwh3pVbRjzE5CM4UfRZoisEOibqakRWXflPVrhvDJT5JMDELI8qCvHjKYFgtDNRKOnyFp0XEKrGZ9fUgSBbcHROsyk76Q9UokrZX35S_r71xwLtivBYwowEfnRiRU-Ah1CH3Eii6WSLwZ9QVmfCeqzDSDatI9rC-kE1mH6fhR1YPa78TH2xveFuER56zhlxL57PKx-pv1IYVQUpPRljRL4QJUFsyxeEei4X6kg5keR3Tw0rj5aNTHG_Dgl5thfwTYz0hQG-MM7KB_1Aj54zmNNoQxX2aOMdi2M027lbln3lvq-XDZigWHmZPmG1DCQ3ImaFqa_uejO59y0PRpIRK7gh2vDkYINXVXHGBLaLuY-fBw62DSimstOdZ0KfmqTdJhLSymDTZ01wFdQKjbt6SMgx5cf498kFWD94f62lFG4kqqZqde9MP2phqg90L9F4oEevzgDgY0EqGZcfBMEJKWCoqCoR4EPStF5kLvV4TJCyZU9n2et_AXWTnj-KF3Cu7LifpaZfIMpwHsMKDRC2FKXmyXVd2uzJJ8Tto_7slwguEF7QAnn1vMbacANawGPFRtwLLryZdF8WDaA_Ilgx1oNyt-E8UXRjIX08WCUZhOgPKOxvoYG_-KXYzGovSqE7IswPXkGQH0AUPAXKhtC0tcIAWAcQLu4iJDqe-EOd7LSjCP2K4pOpMOcGKf277-Dmqi2DJfWxBZpkubL7brwTTBMERNoE7l_WWpdMI2sDeB5hbML2MMu17sjEJ1bHZ-4BTd9Vi9QKJ87vixLFux4iMb5Vm9kYKkkJl6MSapChWmriOVx94pLR1IjkWRsg61f4sjqrWGg-JSBaJmD7OVaZiNylXBonDTo4iwptWxAIFXc81_JInzwFyDoyv-di_F9-jfmOxWxfkhm6PFm8TFrV4JRL6fYIpdObQDarperSiI3Jcg6tRRQw7qRoTuGCeRJsIV2FVtxf0-IWULTmo-LlLz_fLSHfBZLZnxpaq2BOrofyoNt3pr1GQIjhjAcXh","format":"openai-responses-v1","id":"rs_0cc5165532beef5d016a56dbae68a88193ab53cca4f21ea1e4","index":1}]}}],"usage":{"prompt_tokens":6127,"completion_tokens":671,"total_tokens":6798,"cost":0.011684,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":6124,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.011684,"upstream_inference_prompt_cost":0.007658,"upstream_inference_completions_cost":0.004026},"completion_tokens_details":{"reasoning_tokens":358,"image_tokens":0,"audio_tokens":0}}}"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_hcCPfNvwKArbJZ90CUEVC2pO", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene = bpy.context.scene\n# Use the Eevee engine available in this Blender build.\nscene.render.engine = 'BLENDER_EEVEE'\n# Render quality and soft shadow settings, when exposed by this Blender version.\ntry:\n    scene.eevee.use_gtao = True\n    scene.eevee.gtao_distance = 3.0\n    scene.eevee.gtao_factor = 1.25\n    scene.eevee.taa_render_samples = 128\nexcept Exception as e:\n    print('EEVEE settings note:', e)\n# Keep the presentation image square and clean.\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\n# Save and render.\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\n", "user_prompt": "Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene = bpy.context.scene\\n# Use the Eevee engine available in this Blender build.\\nscene.render.engine = 'BLENDER_EEVEE'\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE settings note:', e)\\n# Keep the presentation image square and clean.\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\n# Save and render.\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}", "parse_error": null}], "tokens_in": 6127, "tokens_out": 671, "cost_usd": 0.011684, "cached_tokens": 0}, "error": null}
{"ts": "2026-07-15T01:00:37.514219+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_hcCPfNvwKArbJZ90CUEVC2pO", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene = bpy.context.scene\n# Use the Eevee engine available in this Blender build.\nscene.render.engine = 'BLENDER_EEVEE'\n# Render quality and soft shadow settings, when exposed by this Blender version.\ntry:\n    scene.eevee.use_gtao = True\n    scene.eevee.gtao_distance = 3.0\n    scene.eevee.gtao_factor = 1.25\n    scene.eevee.taa_render_samples = 128\nexcept Exception as e:\n    print('EEVEE settings note:', e)\n# Keep the presentation image square and clean.\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\n# Save and render.\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\n", "user_prompt": "Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene = bpy.context.scene\\n# Use the Eevee engine available in this Blender build.\\nscene.render.engine = 'BLENDER_EEVEE'\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE settings note:', e)\\n# Keep the presentation image square and clean.\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\n# Save and render.\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:00:37.514219+00:00", "type": "tool_call", "id": "call_hcCPfNvwKArbJZ90CUEVC2pO", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene = bpy.context.scene\n# Use the Eevee engine available in this Blender build.\nscene.render.engine = 'BLENDER_EEVEE'\n# Render quality and soft shadow settings, when exposed by this Blender version.\ntry:\n    scene.eevee.use_gtao = True\n    scene.eevee.gtao_distance = 3.0\n    scene.eevee.gtao_factor = 1.25\n    scene.eevee.taa_render_samples = 128\nexcept Exception as e:\n    print('EEVEE settings note:', e)\n# Keep the presentation image square and clean.\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\n# Save and render.\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\n", "user_prompt": "Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene = bpy.context.scene\\n# Use the Eevee engine available in this Blender build.\\nscene.render.engine = 'BLENDER_EEVEE'\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE settings note:', e)\\n# Keep the presentation image square and clean.\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\n# Save and render.\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}"}
{"ts": "2026-07-15T01:00:37.606062+00:00", "type": "tool_result", "tool_call_id": "call_hcCPfNvwKArbJZ90CUEVC2pO", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_scene.blend@ for writing: No such file or directory\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:00:42.100147+00:00", "type": "llm_call", "call_index": 6, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:00:37.607058+00:00", "finished_at": "2026-07-15T01:00:42.100147+00:00", "duration_s": 4.5, "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_IWVOp2n5xP2Et8VSZgFz649f", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_IWVOp2n5xP2Et8VSZgFz649f", "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_i89iO6oTYii6hcx7DY2CuBQg", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Verify the red sphere, white floor, lighting, and camera scene after setup.\"}"}}]}, {"role": "tool", "tool_call_id": "call_i89iO6oTYii6hcx7DY2CuBQg", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 6,\n  \"objects\": [\n    {\n      \"name\": \"Ground_Plane_White\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.0\n      ]\n    },\n    {\n      \"name\": \"Red_Sphere_1m_Diameter\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.5\n      ]\n    },\n    {\n      \"name\": \"Key_Softbox_Large\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        -3.6,\n        -4.2,\n        5.5\n      ]\n    },\n    {\n      \"name\": \"Fill_Softbox\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        4.0,\n        -1.8,\n        3.0\n      ]\n    },\n    {\n      \"name\": \"Rim_Softbox_Subtle\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        1.5,\n        3.5,\n        4.2\n      ]\n    },\n    {\n      \"name\": \"Presentation_Camera\",\n      \"type\": \"CAMERA\",\n      \"location\": [\n        3.0,\n        -4.2,\n        2.5\n      ]\n    }\n  ],\n  \"materials_count\": 4\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_dDyhHjdaP0cAEtCHFcvFUygM", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Inspect the current Blender viewport to verify composition of the sphere on the white plane.\"}"}}]}, {"role": "tool", "tool_call_id": "call_dDyhHjdaP0cAEtCHFcvFUygM", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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"}}]}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_hcCPfNvwKArbJZ90CUEVC2pO", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene = bpy.context.scene\\n# Use the Eevee engine available in this Blender build.\\nscene.render.engine = 'BLENDER_EEVEE'\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE settings note:', e)\\n# Keep the presentation image square and clean.\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\n# Save and render.\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_hcCPfNvwKArbJZ90CUEVC2pO", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_scene.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": "2026-07-15T01:00:37.607058+00:00", "finished_at": "2026-07-15T01:00:42.099146+00:00", "duration_s": 4.5, "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": "200628", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\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\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Reset to a clean scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\nscene = bpy.context.scene\\\\nscene.unit_settings.system = 'METRIC'\\\\nscene.unit_settings.length_unit = 'METERS'\\\\n\\\\n# World: restrained neutral ambient, with the floor filling the camera view\\\\nworld = scene.world or bpy.data.worlds.new('World')\\\\nscene.world = world\\\\nworld.use_nodes = True\\\\nbg = world.node_tree.nodes.get('Background')\\\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\\\nbg.inputs['Strength'].default_value = 0.22\\\\n\\\\n# Materials\\\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\\\nred_mat.use_nodes = True\\\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\\\nred_mat.roughness = 0.22\\\\nnodes = red_mat.node_tree.nodes\\\\nbsdf = nodes.get('Principled BSDF')\\\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\\\nbsdf.inputs['Roughness'].default_value = 0.22\\\\nbsdf.inputs['Metallic'].default_value = 0.0\\\\nif 'IOR' in bsdf.inputs:\\\\n    bsdf.inputs['IOR'].default_value = 1.45\\\\nif 'Specular IOR Level' in bsdf.inputs:\\\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\\\nif 'Coat Weight' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\\\nif 'Coat Roughness' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\\\n\\\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\\\nwhite_mat.use_nodes = True\\\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\\\nif 'Specular IOR Level' in white_bsdf.inputs:\\\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\\\n\\\\n# White ground plane, exactly at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\\\nfloor = bpy.context.object\\\\nfloor.name = 'Ground_Plane_White'\\\\nfloor.data.name = 'Ground_Plane_Mesh'\\\\nfloor.data.materials.append(white_mat)\\\\n\\\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red_Sphere_1m_Diameter'\\\\nball.data.name = 'Red_Sphere_Mesh'\\\\nball.data.materials.append(red_mat)\\\\nfor poly in ball.data.polygons:\\\\n    poly.use_smooth = True\\\\n# Ensure transforms and dimensions remain explicit and exact\\\\nball.scale = (1.0, 1.0, 1.0)\\\\nbpy.context.view_layer.objects.active = ball\\\\nball.select_set(True)\\\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\\\n\\\\n# Helper for aiming lights and camera\\\\ndef aim_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\\\n\\\\n# Large soft key light, high and camera-left/front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\\\nkey = bpy.context.object\\\\nkey.name = 'Key_Softbox_Large'\\\\nkey.data.name = 'Key_Softbox_Data'\\\\nkey.data.energy = 480.0\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 3.2\\\\nkey.data.color = (1.0, 0.93, 0.88)\\\\naim_at(key, (0.0, 0.0, 0.35))\\\\n\\\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\\\nfill = bpy.context.object\\\\nfill.name = 'Fill_Softbox'\\\\nfill.data.name = 'Fill_Softbox_Data'\\\\nfill.data.energy = 105.0\\\\nfill.data.shape = 'DISK'\\\\nfill.data.size = 3.5\\\\nfill.data.color = (0.80, 0.88, 1.0)\\\\naim_at(fill, (0.0, 0.0, 0.42))\\\\n\\\\n# Gentle rear light for a clean edge highlight, kept subtle\\\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\\\nrim = bpy.context.object\\\\nrim.name = 'Rim_Softbox_Subtle'\\\\nrim.data.name = 'Rim_Softbox_Data'\\\\nrim.data.energy = 115.0\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 2.5\\\\nrim.data.color = (0.92, 0.96, 1.0)\\\\naim_at(rim, (0.0, 0.0, 0.55))\\\\n\\\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation_Camera'\\\\ncam.data.name = 'Presentation_Camera_Data'\\\\ncam.data.lens = 70.0\\\\ncam.data.sensor_width = 36.0\\\\ncam.data.dof.use_dof = False\\\\naim_at(cam, (0.0, 0.0, 0.42))\\\\nscene.camera = cam\\\\n\\\\n# Render / color management\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\ntry:\\\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\\\nexcept Exception:\\\\n    pass\\\\nscene.view_settings.exposure = 0.0\\\\nscene.view_settings.gamma = 1.0\\\\n\\\\n# Make the scene open in camera view for an immediately clear presentation\\\\nfor ob in bpy.context.selected_objects:\\\\n    ob.select_set(False)\\\\ncam.select_set(True)\\\\nbpy.context.view_layer.objects.active = cam\\\\n\\\\n# Save the complete scene and render the presentation\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\\\nprint('RENDER', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"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_i89iO6oTYii6hcx7DY2CuBQg\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Verify the red sphere, white floor, lighting, and camera scene after setup.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_i89iO6oTYii6hcx7DY2CuBQg\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 6,\\n  \\\"objects\\\": [\\n    {\\n      \\\"name\\\": \\\"Ground_Plane_White\\\",\\n      \\\"type\\\": \\\"MESH\\\",\\n      \\\"location\\\": [\\n        0.0,\\n        0.0,\\n        0.0\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Red_Sphere_1m_Diameter\\\",\\n      \\\"type\\\": \\\"MESH\\\",\\n      \\\"location\\\": [\\n        0.0,\\n        0.0,\\n        0.5\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Key_Softbox_Large\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        -3.6,\\n        -4.2,\\n        5.5\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Fill_Softbox\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        4.0,\\n        -1.8,\\n        3.0\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Rim_Softbox_Subtle\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        1.5,\\n        3.5,\\n        4.2\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Presentation_Camera\\\",\\n      \\\"type\\\": \\\"CAMERA\\\",\\n      \\\"location\\\": [\\n        3.0,\\n        -4.2,\\n        2.5\\n      ]\\n    }\\n  ],\\n  \\\"materials_count\\\": 4\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_dDyhHjdaP0cAEtCHFcvFUygM\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Inspect the current Blender viewport to verify composition of the sphere on the white plane.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_dDyhHjdaP0cAEtCHFcvFUygM\",\"content\":\"\"},{\"role\":\"user\",\"content\":[{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,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\"}}]},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_hcCPfNvwKArbJZ90CUEVC2pO\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene = bpy.context.scene\\\\n# Use the Eevee engine available in this Blender build.\\\\nscene.render.engine = 'BLENDER_EEVEE'\\\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\\\ntry:\\\\n    scene.eevee.use_gtao = True\\\\n    scene.eevee.gtao_distance = 3.0\\\\n    scene.eevee.gtao_factor = 1.25\\\\n    scene.eevee.taa_render_samples = 128\\\\nexcept Exception as e:\\\\n    print('EEVEE settings note:', e)\\\\n# Keep the presentation image square and clean.\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\n# Save and render.\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_hcCPfNvwKArbJZ90CUEVC2pO\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\red_sphere_scene.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\"}}}],\"reasoning\":{\"effort\":\"max\"}}", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_GSbmDHMKQUM3cJcKICLP0LTI","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_GSbmDHMKQUM3cJcKICLP0LTI","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_IWVOp2n5xP2Et8VSZgFz649f","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_IWVOp2n5xP2Et8VSZgFz649f","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_i89iO6oTYii6hcx7DY2CuBQg","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Verify the red sphere, white floor, lighting, and camera scene after setup.\"}"}}]},{"role":"tool","tool_call_id":"call_i89iO6oTYii6hcx7DY2CuBQg","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 6,\n  \"objects\": [\n    {\n      \"name\": \"Ground_Plane_White\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.0\n      ]\n    },\n    {\n      \"name\": \"Red_Sphere_1m_Diameter\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.5\n      ]\n    },\n    {\n      \"name\": \"Key_Softbox_Large\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        -3.6,\n        -4.2,\n        5.5\n      ]\n    },\n    {\n      \"name\": \"Fill_Softbox\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        4.0,\n        -1.8,\n        3.0\n      ]\n    },\n    {\n      \"name\": \"Rim_Softbox_Subtle\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        1.5,\n        3.5,\n        4.2\n      ]\n    },\n    {\n      \"name\": \"Presentation_Camera\",\n      \"type\": \"CAMERA\",\n      \"location\": [\n        3.0,\n        -4.2,\n        2.5\n      ]\n    }\n  ],\n  \"materials_count\": 4\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_dDyhHjdaP0cAEtCHFcvFUygM","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Inspect the current Blender viewport to verify composition of the sphere on the white plane.\"}"}}]},{"role":"tool","tool_call_id":"call_dDyhHjdaP0cAEtCHFcvFUygM","content":""},{"role":"user","content":[{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]},{"role":"assistant","content":null,"tool_calls":[{"id":"call_hcCPfNvwKArbJZ90CUEVC2pO","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene = bpy.context.scene\\n# Use the Eevee engine available in this Blender build.\\nscene.render.engine = 'BLENDER_EEVEE'\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE settings note:', e)\\n# Keep the presentation image square and clean.\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\n# Save and render.\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}"}}]},{"role":"tool","tool_call_id":"call_hcCPfNvwKArbJZ90CUEVC2pO","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\\red_sphere_scene.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. 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{"ts": "2026-07-15T01:00:42.133590+00:00", "type": "tool_call", "id": "call_caNGeL3jeQOWTKjflBRUzQIA", "name": "get_object_info", "arguments": {"object_name": "Ground_Plane_White", "user_prompt": "Verify ground plane placement and white material for the finished scene."}, "raw_arguments": "{\"object_name\":\"Ground_Plane_White\",\"user_prompt\":\"Verify ground plane placement and white material for the finished scene.\"}"}
{"ts": "2026-07-15T01:00:42.160131+00:00", "type": "tool_result", "tool_call_id": "call_caNGeL3jeQOWTKjflBRUzQIA", "name": "get_object_info", "text": "{\n  \"name\": \"Ground_Plane_White\",\n  \"type\": \"MESH\",\n  \"location\": [\n    0.0,\n    0.0,\n    0.0\n  ],\n  \"rotation\": [\n    0.0,\n    0.0,\n    0.0\n  ],\n  \"scale\": [\n    1.0,\n    1.0,\n    1.0\n  ],\n  \"visible\": true,\n  \"materials\": [\n    \"Floor_White_Plain\"\n  ],\n  \"world_bounding_box\": [\n    [\n      -20.0,\n      -20.0,\n      0.0\n    ],\n    [\n      20.0,\n      20.0,\n      0.0\n    ]\n  ],\n  \"mesh\": {\n    \"vertices\": 4,\n    \"edges\": 4,\n    \"polygons\": 1\n  }\n}", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:00:42.160131+00:00", "type": "tool_call", "id": "call_ttjgX3oQaems5fC9a55PdK3q", "name": "get_object_info", "arguments": {"object_name": "Presentation_Camera", "user_prompt": "Verify the presentation camera setup for the finished scene."}, "raw_arguments": "{\"object_name\":\"Presentation_Camera\",\"user_prompt\":\"Verify the presentation camera setup for the finished scene.\"}"}
{"ts": "2026-07-15T01:00:42.181846+00:00", "type": "tool_result", "tool_call_id": "call_ttjgX3oQaems5fC9a55PdK3q", "name": "get_object_info", "text": "{\n  \"name\": \"Presentation_Camera\",\n  \"type\": \"CAMERA\",\n  \"location\": [\n    3.0,\n    -4.199999809265137,\n    2.5\n  ],\n  \"rotation\": [\n    1.187713623046875,\n    -3.642096402245443e-08,\n    0.6202496886253357\n  ],\n  \"scale\": [\n    1.0,\n    1.0,\n    1.0\n  ],\n  \"visible\": true,\n  \"materials\": []\n}", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:00:48.869678+00:00", "type": "llm_call", "call_index": 7, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:00:42.183365+00:00", "finished_at": "2026-07-15T01:00:48.868174+00:00", "duration_s": 6.687000000005355, "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_GSbmDHMKQUM3cJcKICLP0LTI", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_IWVOp2n5xP2Et8VSZgFz649f", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_IWVOp2n5xP2Et8VSZgFz649f", "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_i89iO6oTYii6hcx7DY2CuBQg", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\":\"Verify the red sphere, white floor, lighting, and camera scene after setup.\"}"}}]}, {"role": "tool", "tool_call_id": "call_i89iO6oTYii6hcx7DY2CuBQg", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 6,\n  \"objects\": [\n    {\n      \"name\": \"Ground_Plane_White\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.0\n      ]\n    },\n    {\n      \"name\": \"Red_Sphere_1m_Diameter\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.5\n      ]\n    },\n    {\n      \"name\": \"Key_Softbox_Large\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        -3.6,\n        -4.2,\n        5.5\n      ]\n    },\n    {\n      \"name\": \"Fill_Softbox\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        4.0,\n        -1.8,\n        3.0\n      ]\n    },\n    {\n      \"name\": \"Rim_Softbox_Subtle\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        1.5,\n        3.5,\n        4.2\n      ]\n    },\n    {\n      \"name\": \"Presentation_Camera\",\n      \"type\": \"CAMERA\",\n      \"location\": [\n        3.0,\n        -4.2,\n        2.5\n      ]\n    }\n  ],\n  \"materials_count\": 4\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_dDyhHjdaP0cAEtCHFcvFUygM", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Inspect the current Blender viewport to verify composition of the sphere on the white plane.\"}"}}]}, {"role": "tool", "tool_call_id": "call_dDyhHjdaP0cAEtCHFcvFUygM", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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"}}]}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_hcCPfNvwKArbJZ90CUEVC2pO", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene = bpy.context.scene\\n# Use the Eevee engine available in this Blender build.\\nscene.render.engine = 'BLENDER_EEVEE'\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE settings note:', e)\\n# Keep the presentation image square and clean.\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\n# Save and render.\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_hcCPfNvwKArbJZ90CUEVC2pO", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_scene.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_LvVDsaHaNLPNcoNAWNNZY31j", "type": "function", "function": {"name": "get_object_info", "arguments": "{\"object_name\":\"Red_Sphere_1m_Diameter\",\"user_prompt\":\"Verify exact sphere dimensions, smooth shading, and material for the finished scene.\"}"}}, {"id": "call_caNGeL3jeQOWTKjflBRUzQIA", "type": "function", "function": {"name": "get_object_info", "arguments": "{\"object_name\":\"Ground_Plane_White\",\"user_prompt\":\"Verify ground plane placement and white material for the finished scene.\"}"}}, {"id": "call_ttjgX3oQaems5fC9a55PdK3q", "type": "function", "function": {"name": "get_object_info", "arguments": "{\"object_name\":\"Presentation_Camera\",\"user_prompt\":\"Verify the presentation camera setup for the finished scene.\"}"}}]}, {"role": "tool", "tool_call_id": "call_LvVDsaHaNLPNcoNAWNNZY31j", "content": "{\n  \"name\": \"Red_Sphere_1m_Diameter\",\n  \"type\": \"MESH\",\n  \"location\": [\n    0.0,\n    0.0,\n    0.5\n  ],\n  \"rotation\": [\n    0.0,\n    0.0,\n    0.0\n  ],\n  \"scale\": [\n    1.0,\n    1.0,\n    1.0\n  ],\n  \"visible\": true,\n  \"materials\": [\n    \"Ball_Red_Plain_Gloss\"\n  ],\n  \"world_bounding_box\": [\n    [\n      -0.5000004768371582,\n      -0.5000002980232239,\n      0.0\n    ],\n    [\n      0.5000001788139343,\n      0.5,\n      1.0\n    ]\n  ],\n  \"mesh\": {\n    \"vertices\": 6050,\n    \"edges\": 12192,\n    \"polygons\": 6144\n  }\n}"}, {"role": "tool", "tool_call_id": "call_caNGeL3jeQOWTKjflBRUzQIA", "content": "{\n  \"name\": \"Ground_Plane_White\",\n  \"type\": \"MESH\",\n  \"location\": [\n    0.0,\n    0.0,\n    0.0\n  ],\n  \"rotation\": [\n    0.0,\n    0.0,\n    0.0\n  ],\n  \"scale\": [\n    1.0,\n    1.0,\n    1.0\n  ],\n  \"visible\": true,\n  \"materials\": [\n    \"Floor_White_Plain\"\n  ],\n  \"world_bounding_box\": [\n    [\n      -20.0,\n      -20.0,\n      0.0\n    ],\n    [\n      20.0,\n      20.0,\n      0.0\n    ]\n  ],\n  \"mesh\": {\n    \"vertices\": 4,\n    \"edges\": 4,\n    \"polygons\": 1\n  }\n}"}, {"role": "tool", "tool_call_id": "call_ttjgX3oQaems5fC9a55PdK3q", "content": "{\n  \"name\": \"Presentation_Camera\",\n  \"type\": \"CAMERA\",\n  \"location\": [\n    3.0,\n    -4.199999809265137,\n    2.5\n  ],\n  \"rotation\": [\n    1.187713623046875,\n    -3.642096402245443e-08,\n    0.6202496886253357\n  ],\n  \"scale\": [\n    1.0,\n    1.0,\n    1.0\n  ],\n  \"visible\": true,\n  \"materials\": []\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": "2026-07-15T01:00:42.183365+00:00", "finished_at": "2026-07-15T01:00:48.868174+00:00", "duration_s": 6.687000000005355, "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": "203071", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\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\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_GSbmDHMKQUM3cJcKICLP0LTI\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Reset to a clean scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\nscene = bpy.context.scene\\\\nscene.unit_settings.system = 'METRIC'\\\\nscene.unit_settings.length_unit = 'METERS'\\\\n\\\\n# World: restrained neutral ambient, with the floor filling the camera view\\\\nworld = scene.world or bpy.data.worlds.new('World')\\\\nscene.world = world\\\\nworld.use_nodes = True\\\\nbg = world.node_tree.nodes.get('Background')\\\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\\\nbg.inputs['Strength'].default_value = 0.22\\\\n\\\\n# Materials\\\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\\\nred_mat.use_nodes = True\\\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\\\nred_mat.roughness = 0.22\\\\nnodes = red_mat.node_tree.nodes\\\\nbsdf = nodes.get('Principled BSDF')\\\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\\\nbsdf.inputs['Roughness'].default_value = 0.22\\\\nbsdf.inputs['Metallic'].default_value = 0.0\\\\nif 'IOR' in bsdf.inputs:\\\\n    bsdf.inputs['IOR'].default_value = 1.45\\\\nif 'Specular IOR Level' in bsdf.inputs:\\\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\\\nif 'Coat Weight' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\\\nif 'Coat Roughness' in bsdf.inputs:\\\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\\\n\\\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\\\nwhite_mat.use_nodes = True\\\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\\\nif 'Specular IOR Level' in white_bsdf.inputs:\\\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\\\n\\\\n# White ground plane, exactly at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\\\nfloor = bpy.context.object\\\\nfloor.name = 'Ground_Plane_White'\\\\nfloor.data.name = 'Ground_Plane_Mesh'\\\\nfloor.data.materials.append(white_mat)\\\\n\\\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red_Sphere_1m_Diameter'\\\\nball.data.name = 'Red_Sphere_Mesh'\\\\nball.data.materials.append(red_mat)\\\\nfor poly in ball.data.polygons:\\\\n    poly.use_smooth = True\\\\n# Ensure transforms and dimensions remain explicit and exact\\\\nball.scale = (1.0, 1.0, 1.0)\\\\nbpy.context.view_layer.objects.active = ball\\\\nball.select_set(True)\\\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\\\n\\\\n# Helper for aiming lights and camera\\\\ndef aim_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\\\n\\\\n# Large soft key light, high and camera-left/front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\\\nkey = bpy.context.object\\\\nkey.name = 'Key_Softbox_Large'\\\\nkey.data.name = 'Key_Softbox_Data'\\\\nkey.data.energy = 480.0\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 3.2\\\\nkey.data.color = (1.0, 0.93, 0.88)\\\\naim_at(key, (0.0, 0.0, 0.35))\\\\n\\\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\\\nfill = bpy.context.object\\\\nfill.name = 'Fill_Softbox'\\\\nfill.data.name = 'Fill_Softbox_Data'\\\\nfill.data.energy = 105.0\\\\nfill.data.shape = 'DISK'\\\\nfill.data.size = 3.5\\\\nfill.data.color = (0.80, 0.88, 1.0)\\\\naim_at(fill, (0.0, 0.0, 0.42))\\\\n\\\\n# Gentle rear light for a clean edge highlight, kept subtle\\\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\\\nrim = bpy.context.object\\\\nrim.name = 'Rim_Softbox_Subtle'\\\\nrim.data.name = 'Rim_Softbox_Data'\\\\nrim.data.energy = 115.0\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 2.5\\\\nrim.data.color = (0.92, 0.96, 1.0)\\\\naim_at(rim, (0.0, 0.0, 0.55))\\\\n\\\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation_Camera'\\\\ncam.data.name = 'Presentation_Camera_Data'\\\\ncam.data.lens = 70.0\\\\ncam.data.sensor_width = 36.0\\\\ncam.data.dof.use_dof = False\\\\naim_at(cam, (0.0, 0.0, 0.42))\\\\nscene.camera = cam\\\\n\\\\n# Render / color management\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\ntry:\\\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\\\nexcept Exception:\\\\n    pass\\\\nscene.view_settings.exposure = 0.0\\\\nscene.view_settings.gamma = 1.0\\\\n\\\\n# Make the scene open in camera view for an immediately clear presentation\\\\nfor ob in bpy.context.selected_objects:\\\\n    ob.select_set(False)\\\\ncam.select_set(True)\\\\nbpy.context.view_layer.objects.active = cam\\\\n\\\\n# Save the complete scene and render the presentation\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\\\nprint('RENDER', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_IWVOp2n5xP2Et8VSZgFz649f\",\"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_i89iO6oTYii6hcx7DY2CuBQg\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\":\\\"Verify the red sphere, white floor, lighting, and camera scene after setup.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_i89iO6oTYii6hcx7DY2CuBQg\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 6,\\n  \\\"objects\\\": [\\n    {\\n      \\\"name\\\": \\\"Ground_Plane_White\\\",\\n      \\\"type\\\": \\\"MESH\\\",\\n      \\\"location\\\": [\\n        0.0,\\n        0.0,\\n        0.0\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Red_Sphere_1m_Diameter\\\",\\n      \\\"type\\\": \\\"MESH\\\",\\n      \\\"location\\\": [\\n        0.0,\\n        0.0,\\n        0.5\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Key_Softbox_Large\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        -3.6,\\n        -4.2,\\n        5.5\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Fill_Softbox\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        4.0,\\n        -1.8,\\n        3.0\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Rim_Softbox_Subtle\\\",\\n      \\\"type\\\": \\\"LIGHT\\\",\\n      \\\"location\\\": [\\n        1.5,\\n        3.5,\\n        4.2\\n      ]\\n    },\\n    {\\n      \\\"name\\\": \\\"Presentation_Camera\\\",\\n      \\\"type\\\": \\\"CAMERA\\\",\\n      \\\"location\\\": [\\n        3.0,\\n        -4.2,\\n        2.5\\n      ]\\n    }\\n  ],\\n  \\\"materials_count\\\": 4\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_dDyhHjdaP0cAEtCHFcvFUygM\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Inspect the current Blender viewport to verify composition of the sphere on the white plane.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_dDyhHjdaP0cAEtCHFcvFUygM\",\"content\":\"\"},{\"role\":\"user\",\"content\":[{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,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\"}}]},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_hcCPfNvwKArbJZ90CUEVC2pO\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene = bpy.context.scene\\\\n# Use the Eevee engine available in this Blender build.\\\\nscene.render.engine = 'BLENDER_EEVEE'\\\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\\\ntry:\\\\n    scene.eevee.use_gtao = True\\\\n    scene.eevee.gtao_distance = 3.0\\\\n    scene.eevee.gtao_factor = 1.25\\\\n    scene.eevee.taa_render_samples = 128\\\\nexcept Exception as e:\\\\n    print('EEVEE settings note:', e)\\\\n# Keep the presentation image square and clean.\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\n# Save and render.\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_hcCPfNvwKArbJZ90CUEVC2pO\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\red_sphere_scene.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_LvVDsaHaNLPNcoNAWNNZY31j\",\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"arguments\":\"{\\\"object_name\\\":\\\"Red_Sphere_1m_Diameter\\\",\\\"user_prompt\\\":\\\"Verify exact sphere dimensions, smooth shading, and material for the finished scene.\\\"}\"}},{\"id\":\"call_caNGeL3jeQOWTKjflBRUzQIA\",\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"arguments\":\"{\\\"object_name\\\":\\\"Ground_Plane_White\\\",\\\"user_prompt\\\":\\\"Verify ground plane placement and white material for the finished scene.\\\"}\"}},{\"id\":\"call_ttjgX3oQaems5fC9a55PdK3q\",\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"arguments\":\"{\\\"object_name\\\":\\\"Presentation_Camera\\\",\\\"user_prompt\\\":\\\"Verify the presentation camera setup for the finished scene.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_LvVDsaHaNLPNcoNAWNNZY31j\",\"content\":\"{\\n  \\\"name\\\": \\\"Red_Sphere_1m_Diameter\\\",\\n  \\\"type\\\": \\\"MESH\\\",\\n  \\\"location\\\": [\\n    0.0,\\n    0.0,\\n    0.5\\n  ],\\n  \\\"rotation\\\": [\\n    0.0,\\n    0.0,\\n    0.0\\n  ],\\n  \\\"scale\\\": [\\n    1.0,\\n    1.0,\\n    1.0\\n  ],\\n  \\\"visible\\\": true,\\n  \\\"materials\\\": [\\n    \\\"Ball_Red_Plain_Gloss\\\"\\n  ],\\n  \\\"world_bounding_box\\\": [\\n    [\\n      -0.5000004768371582,\\n      -0.5000002980232239,\\n      0.0\\n    ],\\n    [\\n      0.5000001788139343,\\n      0.5,\\n      1.0\\n    ]\\n  ],\\n  \\\"mesh\\\": {\\n    \\\"vertices\\\": 6050,\\n    \\\"edges\\\": 12192,\\n    \\\"polygons\\\": 6144\\n  }\\n}\"},{\"role\":\"tool\",\"tool_call_id\":\"call_caNGeL3jeQOWTKjflBRUzQIA\",\"content\":\"{\\n  \\\"name\\\": \\\"Ground_Plane_White\\\",\\n  \\\"type\\\": \\\"MESH\\\",\\n  \\\"location\\\": [\\n    0.0,\\n    0.0,\\n    0.0\\n  ],\\n  \\\"rotation\\\": [\\n    0.0,\\n    0.0,\\n    0.0\\n  ],\\n  \\\"scale\\\": [\\n    1.0,\\n    1.0,\\n    1.0\\n  ],\\n  \\\"visible\\\": true,\\n  \\\"materials\\\": [\\n    \\\"Floor_White_Plain\\\"\\n  ],\\n  \\\"world_bounding_box\\\": [\\n    [\\n      -20.0,\\n      -20.0,\\n      0.0\\n    ],\\n    [\\n      20.0,\\n      20.0,\\n      0.0\\n    ]\\n  ],\\n  \\\"mesh\\\": {\\n    \\\"vertices\\\": 4,\\n    \\\"edges\\\": 4,\\n    \\\"polygons\\\": 1\\n  }\\n}\"},{\"role\":\"tool\",\"tool_call_id\":\"call_ttjgX3oQaems5fC9a55PdK3q\",\"content\":\"{\\n  \\\"name\\\": \\\"Presentation_Camera\\\",\\n  \\\"type\\\": \\\"CAMERA\\\",\\n  \\\"location\\\": [\\n    3.0,\\n    -4.199999809265137,\\n    2.5\\n  ],\\n  \\\"rotation\\\": [\\n    1.187713623046875,\\n    -3.642096402245443e-08,\\n    0.6202496886253357\\n  ],\\n  \\\"scale\\\": [\\n    1.0,\\n    1.0,\\n    1.0\\n  ],\\n  \\\"visible\\\": true,\\n  \\\"materials\\\": []\\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\"}}}],\"reasoning\":{\"effort\":\"max\"}}", "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 only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\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\n## Harness Instructions\n\nYou are operating Blender through the provided tools. 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. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. 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 red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_GSbmDHMKQUM3cJcKICLP0LTI","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_GSbmDHMKQUM3cJcKICLP0LTI","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_IWVOp2n5xP2Et8VSZgFz649f","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}]},{"role":"tool","tool_call_id":"call_IWVOp2n5xP2Et8VSZgFz649f","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_i89iO6oTYii6hcx7DY2CuBQg","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\":\"Verify the red sphere, white floor, lighting, and camera scene after setup.\"}"}}]},{"role":"tool","tool_call_id":"call_i89iO6oTYii6hcx7DY2CuBQg","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 6,\n  \"objects\": [\n    {\n      \"name\": \"Ground_Plane_White\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.0\n      ]\n    },\n    {\n      \"name\": \"Red_Sphere_1m_Diameter\",\n      \"type\": \"MESH\",\n      \"location\": [\n        0.0,\n        0.0,\n        0.5\n      ]\n    },\n    {\n      \"name\": \"Key_Softbox_Large\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        -3.6,\n        -4.2,\n        5.5\n      ]\n    },\n    {\n      \"name\": \"Fill_Softbox\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        4.0,\n        -1.8,\n        3.0\n      ]\n    },\n    {\n      \"name\": \"Rim_Softbox_Subtle\",\n      \"type\": \"LIGHT\",\n      \"location\": [\n        1.5,\n        3.5,\n        4.2\n      ]\n    },\n    {\n      \"name\": \"Presentation_Camera\",\n      \"type\": \"CAMERA\",\n      \"location\": [\n        3.0,\n        -4.2,\n        2.5\n      ]\n    }\n  ],\n  \"materials_count\": 4\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_dDyhHjdaP0cAEtCHFcvFUygM","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Inspect the current Blender viewport to verify composition of the sphere on the white plane.\"}"}}]},{"role":"tool","tool_call_id":"call_dDyhHjdaP0cAEtCHFcvFUygM","content":""},{"role":"user","content":[{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]},{"role":"assistant","content":null,"tool_calls":[{"id":"call_hcCPfNvwKArbJZ90CUEVC2pO","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene = bpy.context.scene\\n# Use the Eevee engine available in this Blender build.\\nscene.render.engine = 'BLENDER_EEVEE'\\n# Render quality and soft shadow settings, when exposed by this Blender version.\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE settings note:', e)\\n# Keep the presentation image square and clean.\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\n# Save and render.\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved and rendered', scene.render.engine, scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}"}}]},{"role":"tool","tool_call_id":"call_hcCPfNvwKArbJZ90CUEVC2pO","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\\red_sphere_scene.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_LvVDsaHaNLPNcoNAWNNZY31j","type":"function","function":{"name":"get_object_info","arguments":"{\"object_name\":\"Red_Sphere_1m_Diameter\",\"user_prompt\":\"Verify exact sphere dimensions, smooth shading, and material for the finished scene.\"}"}},{"id":"call_caNGeL3jeQOWTKjflBRUzQIA","type":"function","function":{"name":"get_object_info","arguments":"{\"object_name\":\"Ground_Plane_White\",\"user_prompt\":\"Verify ground plane placement and white material for the finished scene.\"}"}},{"id":"call_ttjgX3oQaems5fC9a55PdK3q","type":"function","function":{"name":"get_object_info","arguments":"{\"object_name\":\"Presentation_Camera\",\"user_prompt\":\"Verify the presentation camera setup for the finished scene.\"}"}}]},{"role":"tool","tool_call_id":"call_LvVDsaHaNLPNcoNAWNNZY31j","content":"{\n  \"name\": \"Red_Sphere_1m_Diameter\",\n  \"type\": \"MESH\",\n  \"location\": [\n    0.0,\n    0.0,\n    0.5\n  ],\n  \"rotation\": [\n    0.0,\n    0.0,\n    0.0\n  ],\n  \"scale\": [\n    1.0,\n    1.0,\n    1.0\n  ],\n  \"visible\": true,\n  \"materials\": [\n    \"Ball_Red_Plain_Gloss\"\n  ],\n  \"world_bounding_box\": [\n    [\n      -0.5000004768371582,\n      -0.5000002980232239,\n      0.0\n    ],\n    [\n      0.5000001788139343,\n      0.5,\n      1.0\n    ]\n  ],\n  \"mesh\": {\n    \"vertices\": 6050,\n    \"edges\": 12192,\n    \"polygons\": 6144\n  }\n}"},{"role":"tool","tool_call_id":"call_caNGeL3jeQOWTKjflBRUzQIA","content":"{\n  \"name\": \"Ground_Plane_White\",\n  \"type\": \"MESH\",\n  \"location\": [\n    0.0,\n    0.0,\n    0.0\n  ],\n  \"rotation\": [\n    0.0,\n    0.0,\n    0.0\n  ],\n  \"scale\": [\n    1.0,\n    1.0,\n    1.0\n  ],\n  \"visible\": true,\n  \"materials\": [\n    \"Floor_White_Plain\"\n  ],\n  \"world_bounding_box\": [\n    [\n      -20.0,\n      -20.0,\n      0.0\n    ],\n    [\n      20.0,\n      20.0,\n      0.0\n    ]\n  ],\n  \"mesh\": {\n    \"vertices\": 4,\n    \"edges\": 4,\n    \"polygons\": 1\n  }\n}"},{"role":"tool","tool_call_id":"call_ttjgX3oQaems5fC9a55PdK3q","content":"{\n  \"name\": \"Presentation_Camera\",\n  \"type\": \"CAMERA\",\n  \"location\": [\n    3.0,\n    -4.199999809265137,\n    2.5\n  ],\n  \"rotation\": [\n    1.187713623046875,\n    -3.642096402245443e-08,\n    0.6202496886253357\n  ],\n  \"scale\": [\n    1.0,\n    1.0,\n    1.0\n  ],\n  \"visible\": true,\n  \"materials\": []\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"}}}],"reasoning":{"effort":"max"}}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 01:00:41 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784077241-v9GOhVGQSRWoHymeJweH", "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": "a1b4d4e38d3ff625-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{\"id\":\"gen-1784077241-v9GOhVGQSRWoHymeJweH\",\"object\":\"chat.completion\",\"created\":1784077241,\"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\":\"**Addressing Blender file path issues**\\n\\nI need to tackle the error about opening the file due to a likely file path issue. It seems like Blender is having trouble recognizing the save path as valid. Maybe using a path with forward slashes could help? Alternatively, I could save to the current working directory. I’m planning to inspect the output in the rendered camera view, ensuring that I'm using the correct Blender version. Lastly, I’ll consider rendering to a relative path for the output image.**Preparing to save and render in Blender**\\n\\nI need to save my work, possibly using `bpy.ops.wm.save_as_mainfile` with the path set to either a relative or absolute location. I could save the file as `//red_sphere_scene.blend`, or I could use the absolute path based on the error message. Before rendering, I should consider the desired aesthetics and check the camera's framing at coordinates 3, -4.2, 2.5. Also, I might need to adjust the render engine and ensure that all lights are properly set up. Let's execute the save and render now!\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_ScI13jmv1jQ26zHJnGuQMrK4\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE'\\\\ntry:\\\\n    scene.eevee.use_gtao = True\\\\n    scene.eevee.gtao_distance = 3.0\\\\n    scene.eevee.gtao_factor = 1.25\\\\n    scene.eevee.taa_render_samples = 128\\\\nexcept Exception as e:\\\\n    print('EEVEE optional settings:', e)\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '//red_sphere_presentation.png'\\\\n# Explicitly set the active camera.\\\\nscene.camera = bpy.data.objects.get('Presentation_Camera')\\\\n# Save to a valid absolute location and render a still.\\\\npath = '<repo>/apps/console/red_sphere_scene.blend'\\\\nbpy.ops.wm.save_as_mainfile(filepath=path)\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('SAVED', bpy.data.filepath)\\\\nprint('RENDERED', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.summary\",\"summary\":\"**Addressing Blender file path issues**\\n\\nI need to tackle the error about opening the file due to a likely file path issue. It seems like Blender is having trouble recognizing the save path as valid. Maybe using a path with forward slashes could help? Alternatively, I could save to the current working directory. I’m planning to inspect the output in the rendered camera view, ensuring that I'm using the correct Blender version. Lastly, I’ll consider rendering to a relative path for the output image.**Preparing to save and render in Blender**\\n\\nI need to save my work, possibly using `bpy.ops.wm.save_as_mainfile` with the path set to either a relative or absolute location. I could save the file as `//red_sphere_scene.blend`, or I could use the absolute path based on the error message. Before rendering, I should consider the desired aesthetics and check the camera's framing at coordinates 3, -4.2, 2.5. Also, I might need to adjust the render engine and ensure that all lights are properly set up. Let's execute the save and render now!\",\"format\":\"openai-responses-v1\",\"index\":0},{\"type\":\"reasoning.encrypted\",\"data\":\"gAAAAABqVtu-i_UH7m31mpSt9B9TIwtY48yNwwAQuKZXP3xPXjiSUOm8hRnO9mBrSYoqrQi8bwmRkZrjd5RyHaK0gny0O7u-Z3Ecfkn1YeArbK1e4djPdH_qLO_Rs4ygZ0rJe2FU7ZLC6LnvCxz36JY76Bzmetm6vI8NXpY4uuMOFmCVxspMuRxnYzH5XFP1JIre64adRxZnUF-ACXoTiFXfGfMoacOq1hDj7BtW3PbltA8TZ_VdPE3PDRk6ULqIHvvAfPZuqrJuAzQPLWxaaCJSdVmOBM1P34a3ZNEM_eJnjQtnsN9h7k6bXil2YrJ7y1S6R7MsXMHq1vc5DaoAkFEbSnNZwWIWmDIMJaArdK6DNwd1fMd3Qxinc1fCvYCleP0lAZMxeWt35RK_jVn9HjFQ_h_4AueNgb0v0gvr9y3euJMy0lLwMEK0hE-tbeCrri0hhYc1bsVJUTfurEPbhtzKEbO1eiRAo0QH7Ft2wkJRatGf5s7Cj9687UrquYUoIHittXANvGRxZBX3A9BeNOi3_Mor_E6SecImImxHUWA8pwnkn5p0OxLYnyiXho7mvz7ZD4aDyzjMz3TGVwCLTNAYcGJctP4xWuER8xpREXEk8Qj8kgb4aD_Z2EihVJX8aLRYGYkksoHupJ_ak4ApdkgTd5c95AuzKnfUYeZNnAHNTxUME2M9iAPCFWWzr8HnhOiLiQDVK8saSrkeku4KUhKz7yYtHEqlnXRLDJciX0AiB0Iiq22TJvZkPrKJurXNprUL8xpm4mhUdvOeUxwBQa3loDp3kWS-lGm2oJijXIkV12n76KXUo0RF-ZUjbpmfZU6r9vFXY9CoC3UKmUyCAIgCQ4Y3y5VRfN6oc0IcuRiyvLi-15vjuBhxXRQ7r5ugCjJ6gMOPCbZGQOl-87_OrRt8nRWwd_93Gf8BW4728LFxrIrMjxQMY_iRA68ERfnGlFb97cNvRKCFoV0Ph7iHvHDpuDgR_8-7d46cuh8maDGIkP9rnJ0HpPUi5BffmYeF3-PV3wSpBJA6SdK-iiZ0IlKxILc9tU6__A1nkZURpcXK4fir8y1kjPs1Hx-XnRImVUfCor0dCN1cxyazL0RPZLGNRsdVaPSAS5Vvt5i_BEZQP59pqS3fSFVnv-Ap93BxT37Aen-VEuRWrVhJYeZlFmvGzGnRRjZmPyz9AZt8ZiPm91kXEW-Ec0ekgGNOH4heHLNjzAVMkia2_8qbXzKwzOxhxzGg1-C4EyHNq3xUPfbjISBQDW0m52kvY8tFh-551YEQkwtIaXmTQAHt2WNS3APDVlcJSGzPZ6GC9gQIYCqOBGgcFgGdA5-A94_Xj7s4bHv9T0xQtNcXUIWqrOhBVhiZZ6vyKYIu3iCriWMhL7hzNffrRn_S9BVv_z-iKqTBXSdqmuCVbPaTwfQthFA0THvaS1QMwQzk74UbP6Di2LgTcfa-6Pz7zp0KuSa_tFmZKA9HDlDMUXAMvgrtR1AeClnDEK79-eCrTdLZ1ZCZAgfJyYzUaAivCBFKLCGHhsqVvaSpXhQ1wUZEeOeEYiMfSvDKLjTycUNpKCwyh_4uDsGWPOjywiSj0CE3_1bSjxEFvOoSIeQGSxdW0RS6GUbi4pCx5ETtdylx_qtKphBG9OsiYeo78hrFr69msD4YqfSKCQYbrE7Rp-xstGrffnumPAYXcBkuYPesVXLKiWxhTUlxCeJlYLq3CXOWFspYlOO4ZjPuAIDxV8mllhPoCCgw8YXWxS2W0F6NuwpaznVbL0y6cmO3qNnhwvFq_2c_NHBRTYgZjy7RQE-e7ydelmfOleNlx_g6aSFWpNn142VNwvYXuz3l6yAN5Z9vWSJDIrQiSrk1-jDFUCu9aiDzHTVfQGfnJZNpMqUKYetBV6M7VERB9WEmdAaTRUQoT85UFW_SFAhpvTaHhZikyUwd_gpZJ7B3Secb0tevKEM8S9UQIfyUjGSWCd-_jqLEronvOAY9UZ42g_jLlTfywjCZWiVJ5ycMrvukNZzJishEeBCmem2xzlujbSx2O1bFFPCX2G7tI5tzA_4AMw7m1Bz-sgvgniMZBMuu-vmGB-Rdct9nre2DMP3iZ2rNtW6Wc7Cr0kMjYbz3EDg7WnibfMfbJ-nc0Wlhwf5pdeRHbQU7y4brbn-4OyTklfJyxPjgw0KPhzDNzvKJOipxJAKUqkszPxR3pfNQvIq2GATVSDgE7ipmWa4rULRphcuCpcZnUHUUM8cN7SZuUiwxjoHfHCHfZPgKho-1xV36CzrqIglN5tiGn3sV_BMGdmxnqkrjKTseVw27ngtCbEpuRVvd-a7d05UliSvwOSesVrCl7A0TCcUw8tg6j4abb99ucp4CcB-mtP7IG0QnA0BOguuYtOf1mWoPH8VHlVzATisiL_P1QsA4xPZ6fhTO8JK-S2PDWl3adIgMmctP5MyD5wWCTrO2GDXIJMfFX54KVuHL3xeYY3l7wcgY6lCD9s_gyOIuF1qvEyftbZzCwiAlsvlvjIz03gVSqDpZFmWGOg3uZxUH9xsbQCq9q20vZ6-gctQ8siNssMmgTLF2foF_Szs9OdE01blg3qCl7nPlu4kxcjLI46vUVWZ-YejxsW8xV7ZkHeldra27yoJocFmNF9iif1zzckkDX5-X6ySLP7psjceIOBvQm1_WRmOnROf9kKiQqwaCzqykc9A46cjrSM3ZvH6E0k4uNBZHluryvq79L_jll7p-iYXWoyuOZzsM7-t7X5q7izqW5y1reHf98i_m2yvCQuUI-qo_K7YosROk0iF5ahmKuJ0SBPmZqgcvuNgiS638CuXo0tMSGh6OR9h_MkJuB3NCXw8KMWaw_Fm0XIU-LIM989XZMQIKIS7JidiK_KJNLumfYQWZZTUagM4RzP62IyKs9cG4-PblP7h8Fn4-Vc_07kWF8ANqCPp6-RduVioUVSkj2dKWrEEfWvArs3fqwQz8Lw6Zpl_JOjM3-VwD_jNRrIlvPKcV70xUwMKfAYR_XGgiUYqMw_skqSeq_-Vu1oGmTGdZ67h-Xo5tUMmiQpgA-DNRlU-gHzamzMO_PRYcfU3T_0iJTc9qaxwZg4Ku5Gb3yDGEdxIhGgJvtvE00nBEiqm1rBjwo5422f5SPNQKvFkanDQ_GPqXBP_QdD5Ixu3zxTPurgAAmA2ZKAr7JvJMeF7ng84h2igqb_vqRMVXzlWOcTK9tdnrY2yqhPnPcSQj1TaJ27a-Ta0ZC4oKg-i2Z5KnzO9YoY5hwNKA-okiOT0efWrgaEQFS7wngm8PmLU04J9QikIbRwCBtjaqy5DB0lDmrqEU7dy38pjIy1p8-UUToIcqJc3DtpgDxTmtuAalOaf_K1hUlAnL5qlk941JYHh9VjVW8bXhvhNyFjfJ7FaCgWZ8ScHWkpmptTwGOCnjxVWiZMnPYvOcIcdAjsn85euej7rBfCO0n96MQFgmG_fpDtWzcdlTunHKhnQLS1FbpzF7_gF1d0v8fmpasMma8dvAYoR879l4As4r4t6LnExGbvvaSCWnYcwGkomTQAA9R5C_I0Iw5Ic2YJN1KtLkUU9fcfe3eMXSF1JQF2KOJerKiEw0TPoinaXg\",\"format\":\"openai-responses-v1\",\"id\":\"rs_08f806bde0ba6863016a56dbb9c4088194a47e3e59058c22ba\",\"index\":1}]}}],\"usage\":{\"prompt_tokens\":7217,\"completion_tokens\":774,\"total_tokens\":7991,\"cost\":0.0062524,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":6429,\"cache_write_tokens\":710,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.0062524,\"upstream_inference_prompt_cost\":0.0016084,\"upstream_inference_completions_cost\":0.004644},\"completion_tokens_details\":{\"reasoning_tokens\":443,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "
         

         

         

         

         

         

         

         

         

         

         

         

         
{"id":"gen-1784077241-v9GOhVGQSRWoHymeJweH","object":"chat.completion","created":1784077241,"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":"**Addressing Blender file path issues**\n\nI need to tackle the error about opening the file due to a likely file path issue. It seems like Blender is having trouble recognizing the save path as valid. Maybe using a path with forward slashes could help? Alternatively, I could save to the current working directory. I’m planning to inspect the output in the rendered camera view, ensuring that I'm using the correct Blender version. Lastly, I’ll consider rendering to a relative path for the output image.**Preparing to save and render in Blender**\n\nI need to save my work, possibly using `bpy.ops.wm.save_as_mainfile` with the path set to either a relative or absolute location. I could save the file as `//red_sphere_scene.blend`, or I could use the absolute path based on the error message. Before rendering, I should consider the desired aesthetics and check the camera's framing at coordinates 3, -4.2, 2.5. Also, I might need to adjust the render engine and ensure that all lights are properly set up. Let's execute the save and render now!","tool_calls":[{"type":"function","index":0,"id":"call_ScI13jmv1jQ26zHJnGuQMrK4","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE'\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE optional settings:', e)\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '//red_sphere_presentation.png'\\n# Explicitly set the active camera.\\nscene.camera = bpy.data.objects.get('Presentation_Camera')\\n# Save to a valid absolute location and render a still.\\npath = 'C:/Users/gruku/Files/Projects/Blender-Bench/apps/console/red_sphere_scene.blend'\\nbpy.ops.wm.save_as_mainfile(filepath=path)\\nbpy.ops.render.render(write_still=True)\\nprint('SAVED', bpy.data.filepath)\\nprint('RENDERED', scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}"}}],"reasoning_details":[{"type":"reasoning.summary","summary":"**Addressing Blender file path issues**\n\nI need to tackle the error about opening the file due to a likely file path issue. It seems like Blender is having trouble recognizing the save path as valid. Maybe using a path with forward slashes could help? Alternatively, I could save to the current working directory. I’m planning to inspect the output in the rendered camera view, ensuring that I'm using the correct Blender version. Lastly, I’ll consider rendering to a relative path for the output image.**Preparing to save and render in Blender**\n\nI need to save my work, possibly using `bpy.ops.wm.save_as_mainfile` with the path set to either a relative or absolute location. I could save the file as `//red_sphere_scene.blend`, or I could use the absolute path based on the error message. Before rendering, I should consider the desired aesthetics and check the camera's framing at coordinates 3, -4.2, 2.5. Also, I might need to adjust the render engine and ensure that all lights are properly set up. Let's execute the save and render 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"error": null}], "response": {"text": null, "tool_calls": [{"id": "call_ScI13jmv1jQ26zHJnGuQMrK4", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene = bpy.context.scene\nscene.render.engine = 'BLENDER_EEVEE'\ntry:\n    scene.eevee.use_gtao = True\n    scene.eevee.gtao_distance = 3.0\n    scene.eevee.gtao_factor = 1.25\n    scene.eevee.taa_render_samples = 128\nexcept Exception as e:\n    print('EEVEE optional settings:', e)\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '//red_sphere_presentation.png'\n# Explicitly set the active camera.\nscene.camera = bpy.data.objects.get('Presentation_Camera')\n# Save to a valid absolute location and render a still.\npath = '<repo>/apps/console/red_sphere_scene.blend'\nbpy.ops.wm.save_as_mainfile(filepath=path)\nbpy.ops.render.render(write_still=True)\nprint('SAVED', bpy.data.filepath)\nprint('RENDERED', scene.render.filepath)\n", "user_prompt": "Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE'\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE optional settings:', e)\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '//red_sphere_presentation.png'\\n# Explicitly set the active camera.\\nscene.camera = bpy.data.objects.get('Presentation_Camera')\\n# Save to a valid absolute location and render a still.\\npath = '<repo>/apps/console/red_sphere_scene.blend'\\nbpy.ops.wm.save_as_mainfile(filepath=path)\\nbpy.ops.render.render(write_still=True)\\nprint('SAVED', bpy.data.filepath)\\nprint('RENDERED', scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}", "parse_error": null}], "tokens_in": 7217, "tokens_out": 774, "cost_usd": 0.0062524, "cached_tokens": 6429}, "error": null}
{"ts": "2026-07-15T01:00:48.876277+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_ScI13jmv1jQ26zHJnGuQMrK4", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene = bpy.context.scene\nscene.render.engine = 'BLENDER_EEVEE'\ntry:\n    scene.eevee.use_gtao = True\n    scene.eevee.gtao_distance = 3.0\n    scene.eevee.gtao_factor = 1.25\n    scene.eevee.taa_render_samples = 128\nexcept Exception as e:\n    print('EEVEE optional settings:', e)\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '//red_sphere_presentation.png'\n# Explicitly set the active camera.\nscene.camera = bpy.data.objects.get('Presentation_Camera')\n# Save to a valid absolute location and render a still.\npath = '<repo>/apps/console/red_sphere_scene.blend'\nbpy.ops.wm.save_as_mainfile(filepath=path)\nbpy.ops.render.render(write_still=True)\nprint('SAVED', bpy.data.filepath)\nprint('RENDERED', scene.render.filepath)\n", "user_prompt": "Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE'\\ntry:\\n    scene.eevee.use_gtao = True\\n    scene.eevee.gtao_distance = 3.0\\n    scene.eevee.gtao_factor = 1.25\\n    scene.eevee.taa_render_samples = 128\\nexcept Exception as e:\\n    print('EEVEE optional settings:', e)\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '//red_sphere_presentation.png'\\n# Explicitly set the active camera.\\nscene.camera = bpy.data.objects.get('Presentation_Camera')\\n# Save to a valid absolute location and render a still.\\npath = '<repo>/apps/console/red_sphere_scene.blend'\\nbpy.ops.wm.save_as_mainfile(filepath=path)\\nbpy.ops.render.render(write_still=True)\\nprint('SAVED', bpy.data.filepath)\\nprint('RENDERED', scene.render.filepath)\\n\",\"user_prompt\":\"Finish and render the red one-meter sphere resting exactly on the white ground plane, with soft shadow, subtle gloss, and clean framing.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:00:48.876277+00:00", "type": "status", "status": "budget_exhausted", "done_declared": false}