{"ts": "2026-07-15T00:51:31.967209+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": "2026-07-15T00:51:31.968715+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": "2026-07-15T00:51:36.481835+00:00", "type": "llm_call", "call_index": 1, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:51:31.969219+00:00", "finished_at": "2026-07-15T00:51:36.481835+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>"}], "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": "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": "2026-07-15T00:51:31.969219+00:00", "finished_at": "2026-07-15T00:51:36.480831+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": "17889", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:51:32 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076690-CXfNH2XcUpkLnn0HGYfa", "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": "a1b4c7759b88e8b5-MAD"}, "body": "\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n{\"id\":\"gen-1784076690-CXfNH2XcUpkLnn0HGYfa\",\"object\":\"chat.completion\",\"created\":1784076690,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"StreamLake\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"Let me break down the task:\\n\\n1. A red sphere of 1 meter diameter (radius 0.5 meters) resting on a white ground plane\\n2. The sphere should be touching the ground exactly - neither floating nor sunk\\n3. Smooth shading on the sphere\\n4. Plain red material on the ball\\n5. Plain white material on the floor\\n6. Good presentation: soft shadow under the ball, hint of glossiness, clean framing\\n\\nLet me start by setting up the scene.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_5b2f152ae6bd4756a06d9086\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Let me break down the task:\\n\\n1. A red sphere of 1 meter diameter (radius 0.5 meters) resting on a white ground plane\\n2. The sphere should be touching the ground exactly - neither floating nor sunk\\n3. Smooth shading on the sphere\\n4. Plain red material on the ball\\n5. Plain white material on the floor\\n6. Good presentation: soft shadow under the ball, hint of glossiness, clean framing\\n\\nLet me start by setting up the scene.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":4744,\"completion_tokens\":164,\"total_tokens\":4908,\"cost\":0.0004899552,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.0004899552,\"upstream_inference_prompt_cost\":0.0004582704,\"upstream_inference_completions_cost\":0.0000316848},\"completion_tokens_details\":{\"reasoning_tokens\":102,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "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"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_5b2f152ae6bd4756a06d9086", "name": "get_scene_info", "arguments": {"user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}", "parse_error": null}], "tokens_in": 4744, "tokens_out": 164, "cost_usd": 0.0004899552, "cached_tokens": 0}, "error": null}
{"ts": "2026-07-15T00:51:36.482834+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_5b2f152ae6bd4756a06d9086", "name": "get_scene_info", "arguments": {"user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}", "parse_error": null}]}
{"ts": "2026-07-15T00:51:36.482834+00:00", "type": "tool_call", "id": "call_5b2f152ae6bd4756a06d9086", "name": "get_scene_info", "arguments": {"user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}
{"ts": "2026-07-15T00:51:36.507346+00:00", "type": "tool_result", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "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": "2026-07-15T00:51:44.237138+00:00", "type": "llm_call", "call_index": 2, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:51:36.507346+00:00", "finished_at": "2026-07-15T00:51:44.237138+00:00", "duration_s": 7.73399999999674, "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_5b2f152ae6bd4756a06d9086", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "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": "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": "2026-07-15T00:51:36.507346+00:00", "finished_at": "2026-07-15T00:51:44.237138+00:00", "duration_s": 7.73399999999674, "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": "18310", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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_5b2f152ae6bd4756a06d9086\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5b2f152ae6bd4756a06d9086\",\"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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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_5b2f152ae6bd4756a06d9086","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_5b2f152ae6bd4756a06d9086","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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:51:38 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076695-ZYjUZdnFjNc4Rjt9AZ2q", "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": "a1b4c7917bdae93f-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{\"id\":\"gen-1784076695-ZYjUZdnFjNc4Rjt9AZ2q\",\"object\":\"chat.completion\",\"created\":1784076695,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"GMICloud\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"The scene is empty. Let me start building:\\n\\n1. A sphere with 1 meter diameter (radius 0.5m) - red material, smooth shading\\n2. A ground plane - white material\\n3. The sphere should rest exactly on the ground plane (touching, not floating or sunk)\\n4. Soft shadow under the ball\\n5. Glossy hint on the sphere\\n6. Good lighting and camera setup\\n\\nLet me start by creating the floor plane and the sphere.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_87fd60e668f04e9597377763\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"# Clear the scene\\\\nimport bpy\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\n\\\\n# Add a ground plane\\\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\\\nground = bpy.context.active_object\\\\nground.name = \\\\\\\"Ground\\\\\\\"\\\\n\\\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\\\n# Center of sphere at z=0.5 so bottom touches z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\\\nsphere = bpy.context.active_object\\\\nsphere.name = \\\\\\\"RedBall_Sphere\\\\\\\"\\\\n\\\\nprint(\\\\\\\"Created sphere and ground plane\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The scene is empty. Let me start building:\\n\\n1. A sphere with 1 meter diameter (radius 0.5m) - red material, smooth shading\\n2. A ground plane - white material\\n3. The sphere should rest exactly on the ground plane (touching, not floating or sunk)\\n4. Soft shadow under the ball\\n5. Glossy hint on the sphere\\n6. Good lighting and camera setup\\n\\nLet me start by creating the floor plane and the sphere.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":4847,\"completion_tokens\":355,\"total_tokens\":5202,\"cost\":0.000544586,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.000544586,\"upstream_inference_prompt_cost\":0.000475006,\"upstream_inference_completions_cost\":0.00006958},\"completion_tokens_details\":{\"reasoning_tokens\":102,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "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"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "name": "execute_blender_code", "arguments": {"code": "# Clear the scene\nimport bpy\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\n\n# Add a ground plane\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\nground = bpy.context.active_object\nground.name = \"Ground\"\n\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\n# Center of sphere at z=0.5 so bottom touches z=0\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\nsphere = bpy.context.active_object\nsphere.name = \"RedBall_Sphere\"\n\nprint(\"Created sphere and ground plane\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}", "parse_error": null}], "tokens_in": 4847, "tokens_out": 355, "cost_usd": 0.000544586, "cached_tokens": 0}, "error": null}
{"ts": "2026-07-15T00:51:44.237138+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "name": "execute_blender_code", "arguments": {"code": "# Clear the scene\nimport bpy\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\n\n# Add a ground plane\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\nground = bpy.context.active_object\nground.name = \"Ground\"\n\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\n# Center of sphere at z=0.5 so bottom touches z=0\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\nsphere = bpy.context.active_object\nsphere.name = \"RedBall_Sphere\"\n\nprint(\"Created sphere and ground plane\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}", "parse_error": null}]}
{"ts": "2026-07-15T00:51:44.238344+00:00", "type": "tool_call", "id": "call_87fd60e668f04e9597377763", "name": "execute_blender_code", "arguments": {"code": "# Clear the scene\nimport bpy\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\n\n# Add a ground plane\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\nground = bpy.context.active_object\nground.name = \"Ground\"\n\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\n# Center of sphere at z=0.5 so bottom touches z=0\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\nsphere = bpy.context.active_object\nsphere.name = \"RedBall_Sphere\"\n\nprint(\"Created sphere and ground plane\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}
{"ts": "2026-07-15T00:51:44.279403+00:00", "type": "tool_result", "tool_call_id": "call_87fd60e668f04e9597377763", "name": "execute_blender_code", "text": "Code executed successfully: Created sphere and ground plane\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T00:51:52.645970+00:00", "type": "llm_call", "call_index": 3, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:51:44.280907+00:00", "finished_at": "2026-07-15T00:51:52.645970+00:00", "duration_s": 8.35999999998603, "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_5b2f152ae6bd4756a06d9086", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_87fd60e668f04e9597377763", "content": "Code executed successfully: Created sphere and ground plane\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": "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": "2026-07-15T00:51:44.280907+00:00", "finished_at": "2026-07-15T00:51:52.644464+00:00", "duration_s": 8.35999999998603, "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": "19322", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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_5b2f152ae6bd4756a06d9086\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5b2f152ae6bd4756a06d9086\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_87fd60e668f04e9597377763\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"# Clear the scene\\\\nimport bpy\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\n\\\\n# Add a ground plane\\\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\\\nground = bpy.context.active_object\\\\nground.name = \\\\\\\"Ground\\\\\\\"\\\\n\\\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\\\n# Center of sphere at z=0.5 so bottom touches z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\\\nsphere = bpy.context.active_object\\\\nsphere.name = \\\\\\\"RedBall_Sphere\\\\\\\"\\\\n\\\\nprint(\\\\\\\"Created sphere and ground plane\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_87fd60e668f04e9597377763\",\"content\":\"Code executed successfully: Created sphere and ground plane\\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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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_5b2f152ae6bd4756a06d9086","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_5b2f152ae6bd4756a06d9086","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_87fd60e668f04e9597377763","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_87fd60e668f04e9597377763","content":"Code executed successfully: Created sphere and ground plane\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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:51:44 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076703-P9LrUzPEzdCf2a8J6sAC", "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": "a1b4c7c1ec1bf773-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{\"id\":\"gen-1784076703-P9LrUzPEzdCf2a8J6sAC\",\"object\":\"chat.completion\",\"created\":1784076703,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"StreamLake\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"Good, the sphere and ground plane are created. Now I need to:\\n\\n1. Apply smooth shading to the sphere\\n2. Create red material for sphere\\n3. Create white material for ground\\n4. Set up lighting\\n5. Set up camera\\n6. Render a nice presentation\\n\\nLet me start with materials and smooth shading.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_7637d9ed48b745a7b6a44195\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\\\nbpy.context.view_layer.objects.active = ground\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\\\nprincipled.inputs['Specular'].default_value = 0.5\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Specular'].default_value = 0.3\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Good, the sphere and ground plane are created. Now I need to:\\n\\n1. Apply smooth shading to the sphere\\n2. Create red material for sphere\\n3. Create white material for ground\\n4. Set up lighting\\n5. Set up camera\\n6. Render a nice presentation\\n\\nLet me start with materials and smooth shading.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":5123,\"completion_tokens\":746,\"total_tokens\":5869,\"cost\":0.00032247012,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":4096,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00032247012,\"upstream_inference_prompt_cost\":0.00017834292,\"upstream_inference_completions_cost\":0.0001441272},\"completion_tokens_details\":{\"reasoning_tokens\":68,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "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"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_7637d9ed48b745a7b6a44195", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Get objects\nsphere = bpy.data.objects[\"RedBall_Sphere\"]\nground = bpy.data.objects[\"Ground\"]\n\n# Apply smooth shading to sphere\nbpy.context.view_layer.objects.active = sphere\nbpy.ops.object.shade_smooth()\n\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\nbpy.context.view_layer.objects.active = ground\nbpy.ops.object.shade_smooth()\n\n# Create red material for sphere\nred_mat = bpy.data.materials.new(name=\"Red_Material\")\nred_mat.use_nodes = True\nnodes = red_mat.node_tree.nodes\nlinks = red_mat.node_tree.links\n\n# Clear default nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Create Principled BSDF\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\nprincipled.inputs['Specular'].default_value = 0.5\nprincipled.inputs['Metallic'].default_value = 0.0\n\n# Create output node\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\n\n# Link\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to sphere\nif sphere.data.materials:\n    sphere.data.materials[0] = red_mat\nelse:\n    sphere.data.materials.append(red_mat)\n\n# Create white material for ground\nwhite_mat = bpy.data.materials.new(name=\"White_Material\")\nwhite_mat.use_nodes = True\nnodes = white_mat.node_tree.nodes\nfor node in nodes:\n    nodes.remove(node)\n\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\nprincipled.inputs['Specular'].default_value = 0.3\n\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to ground\nif ground.data.materials:\n    ground.data.materials[0] = white_mat\nelse:\n    ground.data.materials.append(white_mat)\n\nprint(\"Materials created and assigned\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}", "parse_error": null}], "tokens_in": 5123, "tokens_out": 746, "cost_usd": 0.00032247012, "cached_tokens": 4096}, "error": null}
{"ts": "2026-07-15T00:51:52.645970+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_7637d9ed48b745a7b6a44195", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Get objects\nsphere = bpy.data.objects[\"RedBall_Sphere\"]\nground = bpy.data.objects[\"Ground\"]\n\n# Apply smooth shading to sphere\nbpy.context.view_layer.objects.active = sphere\nbpy.ops.object.shade_smooth()\n\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\nbpy.context.view_layer.objects.active = ground\nbpy.ops.object.shade_smooth()\n\n# Create red material for sphere\nred_mat = bpy.data.materials.new(name=\"Red_Material\")\nred_mat.use_nodes = True\nnodes = red_mat.node_tree.nodes\nlinks = red_mat.node_tree.links\n\n# Clear default nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Create Principled BSDF\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\nprincipled.inputs['Specular'].default_value = 0.5\nprincipled.inputs['Metallic'].default_value = 0.0\n\n# Create output node\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\n\n# Link\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to sphere\nif sphere.data.materials:\n    sphere.data.materials[0] = red_mat\nelse:\n    sphere.data.materials.append(red_mat)\n\n# Create white material for ground\nwhite_mat = bpy.data.materials.new(name=\"White_Material\")\nwhite_mat.use_nodes = True\nnodes = white_mat.node_tree.nodes\nfor node in nodes:\n    nodes.remove(node)\n\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\nprincipled.inputs['Specular'].default_value = 0.3\n\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to ground\nif ground.data.materials:\n    ground.data.materials[0] = white_mat\nelse:\n    ground.data.materials.append(white_mat)\n\nprint(\"Materials created and assigned\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}", "parse_error": null}]}
{"ts": "2026-07-15T00:51:52.647494+00:00", "type": "tool_call", "id": "call_7637d9ed48b745a7b6a44195", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Get objects\nsphere = bpy.data.objects[\"RedBall_Sphere\"]\nground = bpy.data.objects[\"Ground\"]\n\n# Apply smooth shading to sphere\nbpy.context.view_layer.objects.active = sphere\nbpy.ops.object.shade_smooth()\n\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\nbpy.context.view_layer.objects.active = ground\nbpy.ops.object.shade_smooth()\n\n# Create red material for sphere\nred_mat = bpy.data.materials.new(name=\"Red_Material\")\nred_mat.use_nodes = True\nnodes = red_mat.node_tree.nodes\nlinks = red_mat.node_tree.links\n\n# Clear default nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Create Principled BSDF\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\nprincipled.inputs['Specular'].default_value = 0.5\nprincipled.inputs['Metallic'].default_value = 0.0\n\n# Create output node\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\n\n# Link\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to sphere\nif sphere.data.materials:\n    sphere.data.materials[0] = red_mat\nelse:\n    sphere.data.materials.append(red_mat)\n\n# Create white material for ground\nwhite_mat = bpy.data.materials.new(name=\"White_Material\")\nwhite_mat.use_nodes = True\nnodes = white_mat.node_tree.nodes\nfor node in nodes:\n    nodes.remove(node)\n\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\nprincipled.inputs['Specular'].default_value = 0.3\n\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to ground\nif ground.data.materials:\n    ground.data.materials[0] = white_mat\nelse:\n    ground.data.materials.append(white_mat)\n\nprint(\"Materials created and assigned\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}
{"ts": "2026-07-15T00:51:52.685350+00:00", "type": "tool_result", "tool_call_id": "call_7637d9ed48b745a7b6a44195", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T00:52:00.523126+00:00", "type": "llm_call", "call_index": 4, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:51:52.686349+00:00", "finished_at": "2026-07-15T00:52:00.523126+00:00", "duration_s": 7.8289999999979045, "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_5b2f152ae6bd4756a06d9086", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_87fd60e668f04e9597377763", "content": "Code executed successfully: Created sphere and ground plane\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7637d9ed48b745a7b6a44195", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_7637d9ed48b745a7b6a44195", "content": "Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"}], "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": "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": "2026-07-15T00:51:52.686349+00:00", "finished_at": "2026-07-15T00:52:00.521614+00:00", "duration_s": 7.8289999999979045, "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": "22060", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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_5b2f152ae6bd4756a06d9086\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5b2f152ae6bd4756a06d9086\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_87fd60e668f04e9597377763\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"# Clear the scene\\\\nimport bpy\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\n\\\\n# Add a ground plane\\\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\\\nground = bpy.context.active_object\\\\nground.name = \\\\\\\"Ground\\\\\\\"\\\\n\\\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\\\n# Center of sphere at z=0.5 so bottom touches z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\\\nsphere = bpy.context.active_object\\\\nsphere.name = \\\\\\\"RedBall_Sphere\\\\\\\"\\\\n\\\\nprint(\\\\\\\"Created sphere and ground plane\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_87fd60e668f04e9597377763\",\"content\":\"Code executed successfully: Created sphere and ground plane\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7637d9ed48b745a7b6a44195\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\\\nbpy.context.view_layer.objects.active = ground\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\\\nprincipled.inputs['Specular'].default_value = 0.5\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Specular'].default_value = 0.3\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7637d9ed48b745a7b6a44195\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \\\"Specular\\\" not found'\"}],\"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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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_5b2f152ae6bd4756a06d9086","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_5b2f152ae6bd4756a06d9086","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_87fd60e668f04e9597377763","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_87fd60e668f04e9597377763","content":"Code executed successfully: Created sphere and ground plane\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7637d9ed48b745a7b6a44195","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_7637d9ed48b745a7b6a44195","content":"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"}],"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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:51:53 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076711-GX5in02Du3yPDD6nXIQG", "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": "a1b4c7f65e57342a-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{\"id\":\"gen-1784076711-GX5in02Du3yPDD6nXIQG\",\"object\":\"chat.completion\",\"created\":1784076711,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"StreamLake\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"The Principled BSDF node in newer Blender versions uses \\\"Specular IOR Level\\\" instead of \\\"Specular\\\". Let me adjust.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_d987c7d832b14ae8b9eca03a\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The Principled BSDF node in newer Blender versions uses \\\"Specular IOR Level\\\" instead of \\\"Specular\\\". Let me adjust.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":5844,\"completion_tokens\":656,\"total_tokens\":6500,\"cost\":0.000295596,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":5120,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.000295596,\"upstream_inference_prompt_cost\":0.0001688568,\"upstream_inference_completions_cost\":0.0001267392},\"completion_tokens_details\":{\"reasoning_tokens\":30,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "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"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_d987c7d832b14ae8b9eca03a", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Get objects\nsphere = bpy.data.objects[\"RedBall_Sphere\"]\nground = bpy.data.objects[\"Ground\"]\n\n# Apply smooth shading to sphere\nbpy.context.view_layer.objects.active = sphere\nbpy.ops.object.shade_smooth()\n\n# Create red material for sphere\nred_mat = bpy.data.materials.new(name=\"Red_Material\")\nred_mat.use_nodes = True\nnodes = red_mat.node_tree.nodes\nlinks = red_mat.node_tree.links\n\n# Clear default nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Create Principled BSDF\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\nprincipled.inputs['Metallic'].default_value = 0.0\n\n# Create output node\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\n\n# Link\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to sphere\nif sphere.data.materials:\n    sphere.data.materials[0] = red_mat\nelse:\n    sphere.data.materials.append(red_mat)\n\n# Create white material for ground\nwhite_mat = bpy.data.materials.new(name=\"White_Material\")\nwhite_mat.use_nodes = True\nnodes = white_mat.node_tree.nodes\nfor node in nodes:\n    nodes.remove(node)\n\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\nprincipled.inputs['Metallic'].default_value = 0.0\n\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to ground\nif ground.data.materials:\n    ground.data.materials[0] = white_mat\nelse:\n    ground.data.materials.append(white_mat)\n\nprint(\"Materials created and assigned\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}", "parse_error": null}], "tokens_in": 5844, "tokens_out": 656, "cost_usd": 0.000295596, "cached_tokens": 5120}, "error": null}
{"ts": "2026-07-15T00:52:00.524131+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_d987c7d832b14ae8b9eca03a", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Get objects\nsphere = bpy.data.objects[\"RedBall_Sphere\"]\nground = bpy.data.objects[\"Ground\"]\n\n# Apply smooth shading to sphere\nbpy.context.view_layer.objects.active = sphere\nbpy.ops.object.shade_smooth()\n\n# Create red material for sphere\nred_mat = bpy.data.materials.new(name=\"Red_Material\")\nred_mat.use_nodes = True\nnodes = red_mat.node_tree.nodes\nlinks = red_mat.node_tree.links\n\n# Clear default nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Create Principled BSDF\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\nprincipled.inputs['Metallic'].default_value = 0.0\n\n# Create output node\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\n\n# Link\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to sphere\nif sphere.data.materials:\n    sphere.data.materials[0] = red_mat\nelse:\n    sphere.data.materials.append(red_mat)\n\n# Create white material for ground\nwhite_mat = bpy.data.materials.new(name=\"White_Material\")\nwhite_mat.use_nodes = True\nnodes = white_mat.node_tree.nodes\nfor node in nodes:\n    nodes.remove(node)\n\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\nprincipled.inputs['Metallic'].default_value = 0.0\n\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to ground\nif ground.data.materials:\n    ground.data.materials[0] = white_mat\nelse:\n    ground.data.materials.append(white_mat)\n\nprint(\"Materials created and assigned\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}", "parse_error": null}]}
{"ts": "2026-07-15T00:52:00.524131+00:00", "type": "tool_call", "id": "call_d987c7d832b14ae8b9eca03a", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Get objects\nsphere = bpy.data.objects[\"RedBall_Sphere\"]\nground = bpy.data.objects[\"Ground\"]\n\n# Apply smooth shading to sphere\nbpy.context.view_layer.objects.active = sphere\nbpy.ops.object.shade_smooth()\n\n# Create red material for sphere\nred_mat = bpy.data.materials.new(name=\"Red_Material\")\nred_mat.use_nodes = True\nnodes = red_mat.node_tree.nodes\nlinks = red_mat.node_tree.links\n\n# Clear default nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Create Principled BSDF\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\nprincipled.inputs['Metallic'].default_value = 0.0\n\n# Create output node\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\n\n# Link\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to sphere\nif sphere.data.materials:\n    sphere.data.materials[0] = red_mat\nelse:\n    sphere.data.materials.append(red_mat)\n\n# Create white material for ground\nwhite_mat = bpy.data.materials.new(name=\"White_Material\")\nwhite_mat.use_nodes = True\nnodes = white_mat.node_tree.nodes\nfor node in nodes:\n    nodes.remove(node)\n\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\nprincipled.location = (0, 0)\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\nprincipled.inputs['Metallic'].default_value = 0.0\n\noutput = nodes.new(type='ShaderNodeOutputMaterial')\noutput.location = (200, 0)\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\n\n# Assign to ground\nif ground.data.materials:\n    ground.data.materials[0] = white_mat\nelse:\n    ground.data.materials.append(white_mat)\n\nprint(\"Materials created and assigned\")", "user_prompt": "A red sphere of 1 meter diameter resting on a white ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}
{"ts": "2026-07-15T00:52:00.559747+00:00", "type": "tool_result", "tool_call_id": "call_d987c7d832b14ae8b9eca03a", "name": "execute_blender_code", "text": "Code executed successfully: Materials created and assigned\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T00:52:04.359139+00:00", "type": "llm_call", "call_index": 5, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:52:00.559747+00:00", "finished_at": "2026-07-15T00:52:04.359139+00:00", "duration_s": 3.812000000005355, "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_5b2f152ae6bd4756a06d9086", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_87fd60e668f04e9597377763", "content": "Code executed successfully: Created sphere and ground plane\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7637d9ed48b745a7b6a44195", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_7637d9ed48b745a7b6a44195", "content": "Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_d987c7d832b14ae8b9eca03a", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_d987c7d832b14ae8b9eca03a", "content": "Code executed successfully: Materials created and assigned\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": "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": "2026-07-15T00:52:00.559747+00:00", "finished_at": "2026-07-15T00:52:04.358634+00:00", "duration_s": 3.812000000005355, "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": "24528", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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_5b2f152ae6bd4756a06d9086\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5b2f152ae6bd4756a06d9086\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_87fd60e668f04e9597377763\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"# Clear the scene\\\\nimport bpy\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\n\\\\n# Add a ground plane\\\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\\\nground = bpy.context.active_object\\\\nground.name = \\\\\\\"Ground\\\\\\\"\\\\n\\\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\\\n# Center of sphere at z=0.5 so bottom touches z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\\\nsphere = bpy.context.active_object\\\\nsphere.name = \\\\\\\"RedBall_Sphere\\\\\\\"\\\\n\\\\nprint(\\\\\\\"Created sphere and ground plane\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_87fd60e668f04e9597377763\",\"content\":\"Code executed successfully: Created sphere and ground plane\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7637d9ed48b745a7b6a44195\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\\\nbpy.context.view_layer.objects.active = ground\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\\\nprincipled.inputs['Specular'].default_value = 0.5\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Specular'].default_value = 0.3\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7637d9ed48b745a7b6a44195\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \\\"Specular\\\" not found'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_d987c7d832b14ae8b9eca03a\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_d987c7d832b14ae8b9eca03a\",\"content\":\"Code executed successfully: Materials created and assigned\\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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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_5b2f152ae6bd4756a06d9086","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_5b2f152ae6bd4756a06d9086","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_87fd60e668f04e9597377763","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_87fd60e668f04e9597377763","content":"Code executed successfully: Created sphere and ground plane\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7637d9ed48b745a7b6a44195","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_7637d9ed48b745a7b6a44195","content":"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_d987c7d832b14ae8b9eca03a","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_d987c7d832b14ae8b9eca03a","content":"Code executed successfully: Materials created and assigned\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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:52:01 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076719-ZhpLbp9k7bQDrcKGJtTK", "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": "a1b4c82808e20424-MAD"}, "body": "\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n{\"id\":\"gen-1784076719-ZhpLbp9k7bQDrcKGJtTK\",\"object\":\"chat.completion\",\"created\":1784076719,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"StreamLake\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"Now I need to set up lighting, camera, and render settings. Let me add a good lighting setup to create a soft shadow under the ball and a nice glossy highlight.\\n\\nLet me check what's available in the scene first, then set up:\\n1. Lighting - I'll use area lights and maybe a point light for soft shadows and a nice glossy highlight on the sphere\\n2. Camera - well-framed view of the sphere on the ground\\n3. Maybe an HDRI for better lighting quality\\n\\nLet me also check if Polyhaven is available for an HDRI.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_e8215fd50de84f29bb1034e1\",\"function\":{\"name\":\"get_polyhaven_status\",\"arguments\":\"{}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Now I need to set up lighting, camera, and render settings. Let me add a good lighting setup to create a soft shadow under the ball and a nice glossy highlight.\\n\\nLet me check what's available in the scene first, then set up:\\n1. Lighting - I'll use area lights and maybe a point light for soft shadows and a nice glossy highlight on the sphere\\n2. Camera - well-framed view of the sphere on the ground\\n3. Maybe an HDRI for better lighting quality\\n\\nLet me also check if Polyhaven is available for an HDRI.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":6491,\"completion_tokens\":149,\"total_tokens\":6640,\"cost\":0.0002601438,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":5120,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.0002601438,\"upstream_inference_prompt_cost\":0.000231357,\"upstream_inference_completions_cost\":0.0000287868},\"completion_tokens_details\":{\"reasoning_tokens\":117,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "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"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_e8215fd50de84f29bb1034e1", "name": "get_polyhaven_status", "arguments": {}, "raw_arguments": "{}", "parse_error": null}], "tokens_in": 6491, "tokens_out": 149, "cost_usd": 0.0002601438, "cached_tokens": 5120}, "error": null}
{"ts": "2026-07-15T00:52:04.360144+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_e8215fd50de84f29bb1034e1", "name": "get_polyhaven_status", "arguments": {}, "raw_arguments": "{}", "parse_error": null}]}
{"ts": "2026-07-15T00:52:04.360144+00:00", "type": "tool_call", "id": "call_e8215fd50de84f29bb1034e1", "name": "get_polyhaven_status", "arguments": {}, "raw_arguments": "{}"}
{"ts": "2026-07-15T00:52:04.391621+00:00", "type": "tool_result", "tool_call_id": "call_e8215fd50de84f29bb1034e1", "name": "get_polyhaven_status", "text": "PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T00:52:09.005997+00:00", "type": "llm_call", "call_index": 6, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:52:04.392125+00:00", "finished_at": "2026-07-15T00:52:09.005997+00:00", "duration_s": 4.60899999999674, "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_5b2f152ae6bd4756a06d9086", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_87fd60e668f04e9597377763", "content": "Code executed successfully: Created sphere and ground plane\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7637d9ed48b745a7b6a44195", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_7637d9ed48b745a7b6a44195", "content": "Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_d987c7d832b14ae8b9eca03a", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_d987c7d832b14ae8b9eca03a", "content": "Code executed successfully: Materials created and assigned\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_e8215fd50de84f29bb1034e1", "type": "function", "function": {"name": "get_polyhaven_status", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_e8215fd50de84f29bb1034e1", "content": "PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude"}], "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": "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": "2026-07-15T00:52:04.392125+00:00", "finished_at": "2026-07-15T00:52:09.005997+00:00", "duration_s": 4.60899999999674, "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": "25088", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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_5b2f152ae6bd4756a06d9086\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5b2f152ae6bd4756a06d9086\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_87fd60e668f04e9597377763\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"# Clear the scene\\\\nimport bpy\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\n\\\\n# Add a ground plane\\\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\\\nground = bpy.context.active_object\\\\nground.name = \\\\\\\"Ground\\\\\\\"\\\\n\\\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\\\n# Center of sphere at z=0.5 so bottom touches z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\\\nsphere = bpy.context.active_object\\\\nsphere.name = \\\\\\\"RedBall_Sphere\\\\\\\"\\\\n\\\\nprint(\\\\\\\"Created sphere and ground plane\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_87fd60e668f04e9597377763\",\"content\":\"Code executed successfully: Created sphere and ground plane\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7637d9ed48b745a7b6a44195\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\\\nbpy.context.view_layer.objects.active = ground\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\\\nprincipled.inputs['Specular'].default_value = 0.5\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Specular'].default_value = 0.3\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7637d9ed48b745a7b6a44195\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \\\"Specular\\\" not found'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_d987c7d832b14ae8b9eca03a\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_d987c7d832b14ae8b9eca03a\",\"content\":\"Code executed successfully: Materials created and assigned\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_e8215fd50de84f29bb1034e1\",\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"arguments\":\"{}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_e8215fd50de84f29bb1034e1\",\"content\":\"PolyHaven integration is currently disabled. To enable it:\\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\\n                            2. Check the 'Use assets from Poly Haven' checkbox\\n                            3. Restart the connection to Claude\"}],\"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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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_5b2f152ae6bd4756a06d9086","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_5b2f152ae6bd4756a06d9086","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_87fd60e668f04e9597377763","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_87fd60e668f04e9597377763","content":"Code executed successfully: Created sphere and ground plane\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7637d9ed48b745a7b6a44195","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_7637d9ed48b745a7b6a44195","content":"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_d987c7d832b14ae8b9eca03a","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_d987c7d832b14ae8b9eca03a","content":"Code executed successfully: Materials created and assigned\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_e8215fd50de84f29bb1034e1","type":"function","function":{"name":"get_polyhaven_status","arguments":"{}"}}]},{"role":"tool","tool_call_id":"call_e8215fd50de84f29bb1034e1","content":"PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude"}],"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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:52:04 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076723-qF6u8sWrd3QsshnapHPV", "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": "a1b4c83f9ebdc6df-MAD"}, "body": "\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n{\"id\":\"gen-1784076723-qF6u8sWrd3QsshnapHPV\",\"object\":\"chat.completion\",\"created\":1784076723,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"StreamLake\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"Polyhaven is disabled. Let me set up the lighting, camera, and world environment manually using Blender code. I'll create a nice studio lighting setup with soft shadows and a clean presentation.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_0d7974da96bd483bb5062d39\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Set up world background to dark/neutral\\\\nworld = bpy.data.worlds['World']\\\\nworld.use_nodes = True\\\\nnodes = world.node_tree.nodes\\\\nlinks = world.node_tree.links\\\\n\\\\n# Clear world nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Add a simple background color node\\\\nbg = nodes.new(type='ShaderNodeBackground')\\\\nbg.location = (0, 0)\\\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\\\nbg.inputs['Strength'].default_value = 1.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\\\noutput.location = (200, 0)\\\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\\\n\\\\nprint(\\\\\\\"World background set to dark gray\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up lighting and world background for a clean presentation\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Polyhaven is disabled. Let me set up the lighting, camera, and world environment manually using Blender code. I'll create a nice studio lighting setup with soft shadows and a clean presentation.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":6597,\"completion_tokens\":293,\"total_tokens\":6890,\"cost\":0.00021906948,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":6144,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00021906948,\"upstream_inference_prompt_cost\":0.00016246188,\"upstream_inference_completions_cost\":0.0000566076},\"completion_tokens_details\":{\"reasoning_tokens\":39,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "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"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_0d7974da96bd483bb5062d39", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Set up world background to dark/neutral\nworld = bpy.data.worlds['World']\nworld.use_nodes = True\nnodes = world.node_tree.nodes\nlinks = world.node_tree.links\n\n# Clear world nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Add a simple background color node\nbg = nodes.new(type='ShaderNodeBackground')\nbg.location = (0, 0)\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\nbg.inputs['Strength'].default_value = 1.0\n\noutput = nodes.new(type='ShaderNodeOutputWorld')\noutput.location = (200, 0)\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\n\nprint(\"World background set to dark gray\")", "user_prompt": "Set up lighting and world background for a clean presentation"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}", "parse_error": null}], "tokens_in": 6597, "tokens_out": 293, "cost_usd": 0.00021906948, "cached_tokens": 6144}, "error": null}
{"ts": "2026-07-15T00:52:09.007000+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_0d7974da96bd483bb5062d39", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Set up world background to dark/neutral\nworld = bpy.data.worlds['World']\nworld.use_nodes = True\nnodes = world.node_tree.nodes\nlinks = world.node_tree.links\n\n# Clear world nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Add a simple background color node\nbg = nodes.new(type='ShaderNodeBackground')\nbg.location = (0, 0)\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\nbg.inputs['Strength'].default_value = 1.0\n\noutput = nodes.new(type='ShaderNodeOutputWorld')\noutput.location = (200, 0)\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\n\nprint(\"World background set to dark gray\")", "user_prompt": "Set up lighting and world background for a clean presentation"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}", "parse_error": null}]}
{"ts": "2026-07-15T00:52:09.007000+00:00", "type": "tool_call", "id": "call_0d7974da96bd483bb5062d39", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Set up world background to dark/neutral\nworld = bpy.data.worlds['World']\nworld.use_nodes = True\nnodes = world.node_tree.nodes\nlinks = world.node_tree.links\n\n# Clear world nodes\nfor node in nodes:\n    nodes.remove(node)\n\n# Add a simple background color node\nbg = nodes.new(type='ShaderNodeBackground')\nbg.location = (0, 0)\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\nbg.inputs['Strength'].default_value = 1.0\n\noutput = nodes.new(type='ShaderNodeOutputWorld')\noutput.location = (200, 0)\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\n\nprint(\"World background set to dark gray\")", "user_prompt": "Set up lighting and world background for a clean presentation"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}"}
{"ts": "2026-07-15T00:52:09.038807+00:00", "type": "tool_result", "tool_call_id": "call_0d7974da96bd483bb5062d39", "name": "execute_blender_code", "text": "Code executed successfully: World background set to dark gray\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T00:52:17.091922+00:00", "type": "llm_call", "call_index": 7, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:52:09.040311+00:00", "finished_at": "2026-07-15T00:52:17.091922+00:00", "duration_s": 8.062999999994645, "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_5b2f152ae6bd4756a06d9086", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_87fd60e668f04e9597377763", "content": "Code executed successfully: Created sphere and ground plane\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7637d9ed48b745a7b6a44195", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_7637d9ed48b745a7b6a44195", "content": "Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_d987c7d832b14ae8b9eca03a", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_d987c7d832b14ae8b9eca03a", "content": "Code executed successfully: Materials created and assigned\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_e8215fd50de84f29bb1034e1", "type": "function", "function": {"name": "get_polyhaven_status", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_e8215fd50de84f29bb1034e1", "content": "PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_0d7974da96bd483bb5062d39", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}"}}]}, {"role": "tool", "tool_call_id": "call_0d7974da96bd483bb5062d39", "content": "Code executed successfully: World background set to dark gray\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": "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": "2026-07-15T00:52:09.040311+00:00", "finished_at": "2026-07-15T00:52:17.091922+00:00", "duration_s": 8.062999999994645, "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": "26183", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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_5b2f152ae6bd4756a06d9086\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5b2f152ae6bd4756a06d9086\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_87fd60e668f04e9597377763\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"# Clear the scene\\\\nimport bpy\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\n\\\\n# Add a ground plane\\\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\\\nground = bpy.context.active_object\\\\nground.name = \\\\\\\"Ground\\\\\\\"\\\\n\\\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\\\n# Center of sphere at z=0.5 so bottom touches z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\\\nsphere = bpy.context.active_object\\\\nsphere.name = \\\\\\\"RedBall_Sphere\\\\\\\"\\\\n\\\\nprint(\\\\\\\"Created sphere and ground plane\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_87fd60e668f04e9597377763\",\"content\":\"Code executed successfully: Created sphere and ground plane\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7637d9ed48b745a7b6a44195\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\\\nbpy.context.view_layer.objects.active = ground\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\\\nprincipled.inputs['Specular'].default_value = 0.5\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Specular'].default_value = 0.3\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7637d9ed48b745a7b6a44195\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \\\"Specular\\\" not found'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_d987c7d832b14ae8b9eca03a\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_d987c7d832b14ae8b9eca03a\",\"content\":\"Code executed successfully: Materials created and assigned\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_e8215fd50de84f29bb1034e1\",\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"arguments\":\"{}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_e8215fd50de84f29bb1034e1\",\"content\":\"PolyHaven integration is currently disabled. To enable it:\\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\\n                            2. Check the 'Use assets from Poly Haven' checkbox\\n                            3. Restart the connection to Claude\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_0d7974da96bd483bb5062d39\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Set up world background to dark/neutral\\\\nworld = bpy.data.worlds['World']\\\\nworld.use_nodes = True\\\\nnodes = world.node_tree.nodes\\\\nlinks = world.node_tree.links\\\\n\\\\n# Clear world nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Add a simple background color node\\\\nbg = nodes.new(type='ShaderNodeBackground')\\\\nbg.location = (0, 0)\\\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\\\nbg.inputs['Strength'].default_value = 1.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\\\noutput.location = (200, 0)\\\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\\\n\\\\nprint(\\\\\\\"World background set to dark gray\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up lighting and world background for a clean presentation\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_0d7974da96bd483bb5062d39\",\"content\":\"Code executed successfully: World background set to dark gray\\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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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_5b2f152ae6bd4756a06d9086","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_5b2f152ae6bd4756a06d9086","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_87fd60e668f04e9597377763","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_87fd60e668f04e9597377763","content":"Code executed successfully: Created sphere and ground plane\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7637d9ed48b745a7b6a44195","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_7637d9ed48b745a7b6a44195","content":"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_d987c7d832b14ae8b9eca03a","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_d987c7d832b14ae8b9eca03a","content":"Code executed successfully: Materials created and assigned\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_e8215fd50de84f29bb1034e1","type":"function","function":{"name":"get_polyhaven_status","arguments":"{}"}}]},{"role":"tool","tool_call_id":"call_e8215fd50de84f29bb1034e1","content":"PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_0d7974da96bd483bb5062d39","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}"}}]},{"role":"tool","tool_call_id":"call_0d7974da96bd483bb5062d39","content":"Code executed successfully: World background set to dark gray\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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:52:09 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076727-fUT1lSJy3vfXIvYimmQM", "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": "a1b4c85c8a66ecae-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{\"id\":\"gen-1784076727-fUT1lSJy3vfXIvYimmQM\",\"object\":\"chat.completion\",\"created\":1784076727,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"StreamLake\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"Good, now I need to set up lighting. I'll add a few lights to create a nice soft shadow under the ball and some specular highlights on the sphere. Let me set up:\\n\\n1. A key light - warm, from the front-left\\n2. A fill light - softer, from the right\\n3. Maybe a rim light from behind\\n\\nAnd I need to set up the camera for a clean framing.\\n\\nLet me also add a shadow catcher... Actually, since we're using Cycles or Eevee, I'll set up the render engine and add proper lighting. Let me use Eevee for simplicity with shadows enabled.\\n\\nActually, for a better result, let me use Cycles with good lighting.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_7da2ec4b1aa04b2f83edae2b\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Set render engine to Cycles for better shadows and reflections\\\\nbpy.context.scene.render.engine = 'CYCLES'\\\\nbpy.context.scene.cycles.samples = 128\\\\n\\\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\\\n\\\\n# Delete default lights if any\\\\nfor obj in bpy.data.objects:\\\\n    if obj.type == 'LIGHT':\\\\n        bpy.data.objects.remove(obj)\\\\n\\\\n# Add key light - from top-left-front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\\\nkey_light = bpy.context.active_object\\\\nkey_light.name = \\\\\\\"Key_Light\\\\\\\"\\\\nkey_light.data.energy = 800\\\\nkey_light.data.size = 2  # Soft light\\\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\\\n\\\\n# Add fill light - from right, softer\\\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\\\nfill_light = bpy.context.active_object\\\\nfill_light.name = \\\\\\\"Fill_Light\\\\\\\"\\\\nfill_light.data.energy = 300\\\\nfill_light.data.size = 3\\\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\\\n\\\\n# Add rim/back light\\\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\\\nrim_light = bpy.context.active_object\\\\nrim_light.name = \\\\\\\"Rim_Light\\\\\\\"\\\\nrim_light.data.energy = 200\\\\nrim_light.data.size = 2\\\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\\\n\\\\nprint(\\\\\\\"Lights added\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up lighting for a clean presentation with soft shadows\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Good, now I need to set up lighting. I'll add a few lights to create a nice soft shadow under the ball and some specular highlights on the sphere. Let me set up:\\n\\n1. A key light - warm, from the front-left\\n2. A fill light - softer, from the right\\n3. Maybe a rim light from behind\\n\\nAnd I need to set up the camera for a clean framing.\\n\\nLet me also add a shadow catcher... Actually, since we're using Cycles or Eevee, I'll set up the render engine and add proper lighting. Let me use Eevee for simplicity with shadows enabled.\\n\\nActually, for a better result, let me use Cycles with good lighting.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":6874,\"completion_tokens\":597,\"total_tokens\":7471,\"cost\":0.0007793688,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.0007793688,\"upstream_inference_prompt_cost\":0.0006640284,\"upstream_inference_completions_cost\":0.0001153404},\"completion_tokens_details\":{\"reasoning_tokens\":145,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "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"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_7da2ec4b1aa04b2f83edae2b", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Set render engine to Cycles for better shadows and reflections\nbpy.context.scene.render.engine = 'CYCLES'\nbpy.context.scene.cycles.samples = 128\n\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\n\n# Delete default lights if any\nfor obj in bpy.data.objects:\n    if obj.type == 'LIGHT':\n        bpy.data.objects.remove(obj)\n\n# Add key light - from top-left-front\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\nkey_light = bpy.context.active_object\nkey_light.name = \"Key_Light\"\nkey_light.data.energy = 800\nkey_light.data.size = 2  # Soft light\nkey_light.rotation_euler = (0.8, 0, 0.5)\n\n# Add fill light - from right, softer\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\nfill_light = bpy.context.active_object\nfill_light.name = \"Fill_Light\"\nfill_light.data.energy = 300\nfill_light.data.size = 3\nfill_light.rotation_euler = (0.6, 0, -0.9)\n\n# Add rim/back light\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\nrim_light = bpy.context.active_object\nrim_light.name = \"Rim_Light\"\nrim_light.data.energy = 200\nrim_light.data.size = 2\nrim_light.rotation_euler = (0.5, 0, 3.14)\n\nprint(\"Lights added\")", "user_prompt": "Set up lighting for a clean presentation with soft shadows"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Set render engine to Cycles for better shadows and reflections\\nbpy.context.scene.render.engine = 'CYCLES'\\nbpy.context.scene.cycles.samples = 128\\n\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\n\\n# Delete default lights if any\\nfor obj in bpy.data.objects:\\n    if obj.type == 'LIGHT':\\n        bpy.data.objects.remove(obj)\\n\\n# Add key light - from top-left-front\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\nkey_light = bpy.context.active_object\\nkey_light.name = \\\"Key_Light\\\"\\nkey_light.data.energy = 800\\nkey_light.data.size = 2  # Soft light\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\n\\n# Add fill light - from right, softer\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\nfill_light = bpy.context.active_object\\nfill_light.name = \\\"Fill_Light\\\"\\nfill_light.data.energy = 300\\nfill_light.data.size = 3\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\n\\n# Add rim/back light\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\nrim_light = bpy.context.active_object\\nrim_light.name = \\\"Rim_Light\\\"\\nrim_light.data.energy = 200\\nrim_light.data.size = 2\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\n\\nprint(\\\"Lights added\\\")\", \"user_prompt\": \"Set up lighting for a clean presentation with soft shadows\"}", "parse_error": null}], "tokens_in": 6874, "tokens_out": 597, "cost_usd": 0.0007793688, "cached_tokens": 0}, "error": null}
{"ts": "2026-07-15T00:52:17.092927+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_7da2ec4b1aa04b2f83edae2b", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Set render engine to Cycles for better shadows and reflections\nbpy.context.scene.render.engine = 'CYCLES'\nbpy.context.scene.cycles.samples = 128\n\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\n\n# Delete default lights if any\nfor obj in bpy.data.objects:\n    if obj.type == 'LIGHT':\n        bpy.data.objects.remove(obj)\n\n# Add key light - from top-left-front\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\nkey_light = bpy.context.active_object\nkey_light.name = \"Key_Light\"\nkey_light.data.energy = 800\nkey_light.data.size = 2  # Soft light\nkey_light.rotation_euler = (0.8, 0, 0.5)\n\n# Add fill light - from right, softer\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\nfill_light = bpy.context.active_object\nfill_light.name = \"Fill_Light\"\nfill_light.data.energy = 300\nfill_light.data.size = 3\nfill_light.rotation_euler = (0.6, 0, -0.9)\n\n# Add rim/back light\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\nrim_light = bpy.context.active_object\nrim_light.name = \"Rim_Light\"\nrim_light.data.energy = 200\nrim_light.data.size = 2\nrim_light.rotation_euler = (0.5, 0, 3.14)\n\nprint(\"Lights added\")", "user_prompt": "Set up lighting for a clean presentation with soft shadows"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Set render engine to Cycles for better shadows and reflections\\nbpy.context.scene.render.engine = 'CYCLES'\\nbpy.context.scene.cycles.samples = 128\\n\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\n\\n# Delete default lights if any\\nfor obj in bpy.data.objects:\\n    if obj.type == 'LIGHT':\\n        bpy.data.objects.remove(obj)\\n\\n# Add key light - from top-left-front\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\nkey_light = bpy.context.active_object\\nkey_light.name = \\\"Key_Light\\\"\\nkey_light.data.energy = 800\\nkey_light.data.size = 2  # Soft light\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\n\\n# Add fill light - from right, softer\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\nfill_light = bpy.context.active_object\\nfill_light.name = \\\"Fill_Light\\\"\\nfill_light.data.energy = 300\\nfill_light.data.size = 3\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\n\\n# Add rim/back light\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\nrim_light = bpy.context.active_object\\nrim_light.name = \\\"Rim_Light\\\"\\nrim_light.data.energy = 200\\nrim_light.data.size = 2\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\n\\nprint(\\\"Lights added\\\")\", \"user_prompt\": \"Set up lighting for a clean presentation with soft shadows\"}", "parse_error": null}]}
{"ts": "2026-07-15T00:52:17.092927+00:00", "type": "tool_call", "id": "call_7da2ec4b1aa04b2f83edae2b", "name": "execute_blender_code", "arguments": {"code": "import bpy\n\n# Set render engine to Cycles for better shadows and reflections\nbpy.context.scene.render.engine = 'CYCLES'\nbpy.context.scene.cycles.samples = 128\n\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\n\n# Delete default lights if any\nfor obj in bpy.data.objects:\n    if obj.type == 'LIGHT':\n        bpy.data.objects.remove(obj)\n\n# Add key light - from top-left-front\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\nkey_light = bpy.context.active_object\nkey_light.name = \"Key_Light\"\nkey_light.data.energy = 800\nkey_light.data.size = 2  # Soft light\nkey_light.rotation_euler = (0.8, 0, 0.5)\n\n# Add fill light - from right, softer\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\nfill_light = bpy.context.active_object\nfill_light.name = \"Fill_Light\"\nfill_light.data.energy = 300\nfill_light.data.size = 3\nfill_light.rotation_euler = (0.6, 0, -0.9)\n\n# Add rim/back light\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\nrim_light = bpy.context.active_object\nrim_light.name = \"Rim_Light\"\nrim_light.data.energy = 200\nrim_light.data.size = 2\nrim_light.rotation_euler = (0.5, 0, 3.14)\n\nprint(\"Lights added\")", "user_prompt": "Set up lighting for a clean presentation with soft shadows"}, "raw_arguments": "{\"code\": \"import bpy\\n\\n# Set render engine to Cycles for better shadows and reflections\\nbpy.context.scene.render.engine = 'CYCLES'\\nbpy.context.scene.cycles.samples = 128\\n\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\n\\n# Delete default lights if any\\nfor obj in bpy.data.objects:\\n    if obj.type == 'LIGHT':\\n        bpy.data.objects.remove(obj)\\n\\n# Add key light - from top-left-front\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\nkey_light = bpy.context.active_object\\nkey_light.name = \\\"Key_Light\\\"\\nkey_light.data.energy = 800\\nkey_light.data.size = 2  # Soft light\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\n\\n# Add fill light - from right, softer\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\nfill_light = bpy.context.active_object\\nfill_light.name = \\\"Fill_Light\\\"\\nfill_light.data.energy = 300\\nfill_light.data.size = 3\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\n\\n# Add rim/back light\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\nrim_light = bpy.context.active_object\\nrim_light.name = \\\"Rim_Light\\\"\\nrim_light.data.energy = 200\\nrim_light.data.size = 2\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\n\\nprint(\\\"Lights added\\\")\", \"user_prompt\": \"Set up lighting for a clean presentation with soft shadows\"}"}
{"ts": "2026-07-15T00:52:17.142695+00:00", "type": "tool_result", "tool_call_id": "call_7da2ec4b1aa04b2f83edae2b", "name": "execute_blender_code", "text": "Code executed successfully: Lights added\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T00:52:21.688837+00:00", "type": "llm_call", "call_index": 8, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:52:17.143794+00:00", "finished_at": "2026-07-15T00:52:21.688837+00:00", "duration_s": 4.5460000000020955, "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_5b2f152ae6bd4756a06d9086", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_87fd60e668f04e9597377763", "content": "Code executed successfully: Created sphere and ground plane\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7637d9ed48b745a7b6a44195", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_7637d9ed48b745a7b6a44195", "content": "Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_d987c7d832b14ae8b9eca03a", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_d987c7d832b14ae8b9eca03a", "content": "Code executed successfully: Materials created and assigned\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_e8215fd50de84f29bb1034e1", "type": "function", "function": {"name": "get_polyhaven_status", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_e8215fd50de84f29bb1034e1", "content": "PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_0d7974da96bd483bb5062d39", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}"}}]}, {"role": "tool", "tool_call_id": "call_0d7974da96bd483bb5062d39", "content": "Code executed successfully: World background set to dark gray\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7da2ec4b1aa04b2f83edae2b", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Set render engine to Cycles for better shadows and reflections\\nbpy.context.scene.render.engine = 'CYCLES'\\nbpy.context.scene.cycles.samples = 128\\n\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\n\\n# Delete default lights if any\\nfor obj in bpy.data.objects:\\n    if obj.type == 'LIGHT':\\n        bpy.data.objects.remove(obj)\\n\\n# Add key light - from top-left-front\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\nkey_light = bpy.context.active_object\\nkey_light.name = \\\"Key_Light\\\"\\nkey_light.data.energy = 800\\nkey_light.data.size = 2  # Soft light\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\n\\n# Add fill light - from right, softer\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\nfill_light = bpy.context.active_object\\nfill_light.name = \\\"Fill_Light\\\"\\nfill_light.data.energy = 300\\nfill_light.data.size = 3\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\n\\n# Add rim/back light\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\nrim_light = bpy.context.active_object\\nrim_light.name = \\\"Rim_Light\\\"\\nrim_light.data.energy = 200\\nrim_light.data.size = 2\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\n\\nprint(\\\"Lights added\\\")\", \"user_prompt\": \"Set up lighting for a clean presentation with soft shadows\"}"}}]}, {"role": "tool", "tool_call_id": "call_7da2ec4b1aa04b2f83edae2b", "content": "Code executed successfully: Lights added\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": "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": "2026-07-15T00:52:17.143794+00:00", "finished_at": "2026-07-15T00:52:21.688837+00:00", "duration_s": 4.5460000000020955, "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": "27824", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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_5b2f152ae6bd4756a06d9086\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5b2f152ae6bd4756a06d9086\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_87fd60e668f04e9597377763\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"# Clear the scene\\\\nimport bpy\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\n\\\\n# Add a ground plane\\\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\\\nground = bpy.context.active_object\\\\nground.name = \\\\\\\"Ground\\\\\\\"\\\\n\\\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\\\n# Center of sphere at z=0.5 so bottom touches z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\\\nsphere = bpy.context.active_object\\\\nsphere.name = \\\\\\\"RedBall_Sphere\\\\\\\"\\\\n\\\\nprint(\\\\\\\"Created sphere and ground plane\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_87fd60e668f04e9597377763\",\"content\":\"Code executed successfully: Created sphere and ground plane\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7637d9ed48b745a7b6a44195\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\\\nbpy.context.view_layer.objects.active = ground\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\\\nprincipled.inputs['Specular'].default_value = 0.5\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Specular'].default_value = 0.3\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7637d9ed48b745a7b6a44195\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \\\"Specular\\\" not found'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_d987c7d832b14ae8b9eca03a\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_d987c7d832b14ae8b9eca03a\",\"content\":\"Code executed successfully: Materials created and assigned\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_e8215fd50de84f29bb1034e1\",\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"arguments\":\"{}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_e8215fd50de84f29bb1034e1\",\"content\":\"PolyHaven integration is currently disabled. To enable it:\\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\\n                            2. Check the 'Use assets from Poly Haven' checkbox\\n                            3. Restart the connection to Claude\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_0d7974da96bd483bb5062d39\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Set up world background to dark/neutral\\\\nworld = bpy.data.worlds['World']\\\\nworld.use_nodes = True\\\\nnodes = world.node_tree.nodes\\\\nlinks = world.node_tree.links\\\\n\\\\n# Clear world nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Add a simple background color node\\\\nbg = nodes.new(type='ShaderNodeBackground')\\\\nbg.location = (0, 0)\\\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\\\nbg.inputs['Strength'].default_value = 1.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\\\noutput.location = (200, 0)\\\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\\\n\\\\nprint(\\\\\\\"World background set to dark gray\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up lighting and world background for a clean presentation\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_0d7974da96bd483bb5062d39\",\"content\":\"Code executed successfully: World background set to dark gray\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7da2ec4b1aa04b2f83edae2b\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Set render engine to Cycles for better shadows and reflections\\\\nbpy.context.scene.render.engine = 'CYCLES'\\\\nbpy.context.scene.cycles.samples = 128\\\\n\\\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\\\n\\\\n# Delete default lights if any\\\\nfor obj in bpy.data.objects:\\\\n    if obj.type == 'LIGHT':\\\\n        bpy.data.objects.remove(obj)\\\\n\\\\n# Add key light - from top-left-front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\\\nkey_light = bpy.context.active_object\\\\nkey_light.name = \\\\\\\"Key_Light\\\\\\\"\\\\nkey_light.data.energy = 800\\\\nkey_light.data.size = 2  # Soft light\\\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\\\n\\\\n# Add fill light - from right, softer\\\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\\\nfill_light = bpy.context.active_object\\\\nfill_light.name = \\\\\\\"Fill_Light\\\\\\\"\\\\nfill_light.data.energy = 300\\\\nfill_light.data.size = 3\\\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\\\n\\\\n# Add rim/back light\\\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\\\nrim_light = bpy.context.active_object\\\\nrim_light.name = \\\\\\\"Rim_Light\\\\\\\"\\\\nrim_light.data.energy = 200\\\\nrim_light.data.size = 2\\\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\\\n\\\\nprint(\\\\\\\"Lights added\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up lighting for a clean presentation with soft shadows\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7da2ec4b1aa04b2f83edae2b\",\"content\":\"Code executed successfully: Lights added\\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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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_5b2f152ae6bd4756a06d9086","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_5b2f152ae6bd4756a06d9086","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_87fd60e668f04e9597377763","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_87fd60e668f04e9597377763","content":"Code executed successfully: Created sphere and ground plane\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7637d9ed48b745a7b6a44195","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_7637d9ed48b745a7b6a44195","content":"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_d987c7d832b14ae8b9eca03a","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_d987c7d832b14ae8b9eca03a","content":"Code executed successfully: Materials created and assigned\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_e8215fd50de84f29bb1034e1","type":"function","function":{"name":"get_polyhaven_status","arguments":"{}"}}]},{"role":"tool","tool_call_id":"call_e8215fd50de84f29bb1034e1","content":"PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_0d7974da96bd483bb5062d39","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}"}}]},{"role":"tool","tool_call_id":"call_0d7974da96bd483bb5062d39","content":"Code executed successfully: World background set to dark gray\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7da2ec4b1aa04b2f83edae2b","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Set render engine to Cycles for better shadows and reflections\\nbpy.context.scene.render.engine = 'CYCLES'\\nbpy.context.scene.cycles.samples = 128\\n\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\n\\n# Delete default lights if any\\nfor obj in bpy.data.objects:\\n    if obj.type == 'LIGHT':\\n        bpy.data.objects.remove(obj)\\n\\n# Add key light - from top-left-front\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\nkey_light = bpy.context.active_object\\nkey_light.name = \\\"Key_Light\\\"\\nkey_light.data.energy = 800\\nkey_light.data.size = 2  # Soft light\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\n\\n# Add fill light - from right, softer\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\nfill_light = bpy.context.active_object\\nfill_light.name = \\\"Fill_Light\\\"\\nfill_light.data.energy = 300\\nfill_light.data.size = 3\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\n\\n# Add rim/back light\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\nrim_light = bpy.context.active_object\\nrim_light.name = \\\"Rim_Light\\\"\\nrim_light.data.energy = 200\\nrim_light.data.size = 2\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\n\\nprint(\\\"Lights added\\\")\", \"user_prompt\": \"Set up lighting for a clean presentation with soft shadows\"}"}}]},{"role":"tool","tool_call_id":"call_7da2ec4b1aa04b2f83edae2b","content":"Code executed successfully: Lights added\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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:52:17 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076735-YTJpAMCbtuBjoBdk1axm", "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": "a1b4c88f2feaf419-MAD"}, "body": "\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n{\"id\":\"gen-1784076735-YTJpAMCbtuBjoBdk1axm\",\"object\":\"chat.completion\",\"created\":1784076735,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"StreamLake\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"Now let me set up the camera for a clean framing of the sphere on the ground plane.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_be716b1625a6414fb95eeec3\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\nimport math\\\\n\\\\n# Delete any existing cameras\\\\nfor obj in bpy.data.objects:\\\\n    if obj.type == 'CAMERA':\\\\n        bpy.data.objects.remove(obj)\\\\n\\\\n# Add a camera\\\\nbpy.ops.object.camera_add(location=(3, -3, 2))\\\\ncam = bpy.context.active_object\\\\ncam.name = \\\\\\\"Camera\\\\\\\"\\\\n\\\\n# Point camera at the sphere (origin at 0,0,0.5)\\\\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\\\\n\\\\n# Set camera as active\\\\nbpy.context.scene.camera = cam\\\\n\\\\n# Set camera lens\\\\ncam.data.lens = 50  # 50mm lens for natural perspective\\\\n\\\\nprint(\\\\\\\"Camera set up\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up camera framing for the sphere on ground plane\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Now let me set up the camera for a clean framing of the sphere on the ground plane.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":7345,\"completion_tokens\":254,\"total_tokens\":7599,\"cost\":0.00028379148,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":6144,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00028379148,\"upstream_inference_prompt_cost\":0.00023471868,\"upstream_inference_completions_cost\":0.0000490728},\"completion_tokens_details\":{\"reasoning_tokens\":19,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "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"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_be716b1625a6414fb95eeec3", "name": "execute_blender_code", "arguments": {"code": "import bpy\nimport math\n\n# Delete any existing cameras\nfor obj in bpy.data.objects:\n    if obj.type == 'CAMERA':\n        bpy.data.objects.remove(obj)\n\n# Add a camera\nbpy.ops.object.camera_add(location=(3, -3, 2))\ncam = bpy.context.active_object\ncam.name = \"Camera\"\n\n# Point camera at the sphere (origin at 0,0,0.5)\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\n\n# Set camera as active\nbpy.context.scene.camera = cam\n\n# Set camera lens\ncam.data.lens = 50  # 50mm lens for natural perspective\n\nprint(\"Camera set up\")", "user_prompt": "Set up camera framing for the sphere on ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\nimport math\\n\\n# Delete any existing cameras\\nfor obj in bpy.data.objects:\\n    if obj.type == 'CAMERA':\\n        bpy.data.objects.remove(obj)\\n\\n# Add a camera\\nbpy.ops.object.camera_add(location=(3, -3, 2))\\ncam = bpy.context.active_object\\ncam.name = \\\"Camera\\\"\\n\\n# Point camera at the sphere (origin at 0,0,0.5)\\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\\n\\n# Set camera as active\\nbpy.context.scene.camera = cam\\n\\n# Set camera lens\\ncam.data.lens = 50  # 50mm lens for natural perspective\\n\\nprint(\\\"Camera set up\\\")\", \"user_prompt\": \"Set up camera framing for the sphere on ground plane\"}", "parse_error": null}], "tokens_in": 7345, "tokens_out": 254, "cost_usd": 0.00028379148, "cached_tokens": 6144}, "error": null}
{"ts": "2026-07-15T00:52:21.690838+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_be716b1625a6414fb95eeec3", "name": "execute_blender_code", "arguments": {"code": "import bpy\nimport math\n\n# Delete any existing cameras\nfor obj in bpy.data.objects:\n    if obj.type == 'CAMERA':\n        bpy.data.objects.remove(obj)\n\n# Add a camera\nbpy.ops.object.camera_add(location=(3, -3, 2))\ncam = bpy.context.active_object\ncam.name = \"Camera\"\n\n# Point camera at the sphere (origin at 0,0,0.5)\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\n\n# Set camera as active\nbpy.context.scene.camera = cam\n\n# Set camera lens\ncam.data.lens = 50  # 50mm lens for natural perspective\n\nprint(\"Camera set up\")", "user_prompt": "Set up camera framing for the sphere on ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\nimport math\\n\\n# Delete any existing cameras\\nfor obj in bpy.data.objects:\\n    if obj.type == 'CAMERA':\\n        bpy.data.objects.remove(obj)\\n\\n# Add a camera\\nbpy.ops.object.camera_add(location=(3, -3, 2))\\ncam = bpy.context.active_object\\ncam.name = \\\"Camera\\\"\\n\\n# Point camera at the sphere (origin at 0,0,0.5)\\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\\n\\n# Set camera as active\\nbpy.context.scene.camera = cam\\n\\n# Set camera lens\\ncam.data.lens = 50  # 50mm lens for natural perspective\\n\\nprint(\\\"Camera set up\\\")\", \"user_prompt\": \"Set up camera framing for the sphere on ground plane\"}", "parse_error": null}]}
{"ts": "2026-07-15T00:52:21.690838+00:00", "type": "tool_call", "id": "call_be716b1625a6414fb95eeec3", "name": "execute_blender_code", "arguments": {"code": "import bpy\nimport math\n\n# Delete any existing cameras\nfor obj in bpy.data.objects:\n    if obj.type == 'CAMERA':\n        bpy.data.objects.remove(obj)\n\n# Add a camera\nbpy.ops.object.camera_add(location=(3, -3, 2))\ncam = bpy.context.active_object\ncam.name = \"Camera\"\n\n# Point camera at the sphere (origin at 0,0,0.5)\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\n\n# Set camera as active\nbpy.context.scene.camera = cam\n\n# Set camera lens\ncam.data.lens = 50  # 50mm lens for natural perspective\n\nprint(\"Camera set up\")", "user_prompt": "Set up camera framing for the sphere on ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\nimport math\\n\\n# Delete any existing cameras\\nfor obj in bpy.data.objects:\\n    if obj.type == 'CAMERA':\\n        bpy.data.objects.remove(obj)\\n\\n# Add a camera\\nbpy.ops.object.camera_add(location=(3, -3, 2))\\ncam = bpy.context.active_object\\ncam.name = \\\"Camera\\\"\\n\\n# Point camera at the sphere (origin at 0,0,0.5)\\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\\n\\n# Set camera as active\\nbpy.context.scene.camera = cam\\n\\n# Set camera lens\\ncam.data.lens = 50  # 50mm lens for natural perspective\\n\\nprint(\\\"Camera set up\\\")\", \"user_prompt\": \"Set up camera framing for the sphere on ground plane\"}"}
{"ts": "2026-07-15T00:52:21.729156+00:00", "type": "tool_result", "tool_call_id": "call_be716b1625a6414fb95eeec3", "name": "execute_blender_code", "text": "Code executed successfully: Camera set up\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T00:52:27.788454+00:00", "type": "llm_call", "call_index": 9, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T00:52:21.730155+00:00", "finished_at": "2026-07-15T00:52:27.784016+00:00", "duration_s": 6.062000000005355, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based 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_5b2f152ae6bd4756a06d9086", "type": "function", "function": {"name": "get_scene_info", "arguments": "{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_5b2f152ae6bd4756a06d9086", "content": "{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_87fd60e668f04e9597377763", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_87fd60e668f04e9597377763", "content": "Code executed successfully: Created sphere and ground plane\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7637d9ed48b745a7b6a44195", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_7637d9ed48b745a7b6a44195", "content": "Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_d987c7d832b14ae8b9eca03a", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_d987c7d832b14ae8b9eca03a", "content": "Code executed successfully: Materials created and assigned\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_e8215fd50de84f29bb1034e1", "type": "function", "function": {"name": "get_polyhaven_status", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_e8215fd50de84f29bb1034e1", "content": "PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_0d7974da96bd483bb5062d39", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}"}}]}, {"role": "tool", "tool_call_id": "call_0d7974da96bd483bb5062d39", "content": "Code executed successfully: World background set to dark gray\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7da2ec4b1aa04b2f83edae2b", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\n\\n# Set render engine to Cycles for better shadows and reflections\\nbpy.context.scene.render.engine = 'CYCLES'\\nbpy.context.scene.cycles.samples = 128\\n\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\n\\n# Delete default lights if any\\nfor obj in bpy.data.objects:\\n    if obj.type == 'LIGHT':\\n        bpy.data.objects.remove(obj)\\n\\n# Add key light - from top-left-front\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\nkey_light = bpy.context.active_object\\nkey_light.name = \\\"Key_Light\\\"\\nkey_light.data.energy = 800\\nkey_light.data.size = 2  # Soft light\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\n\\n# Add fill light - from right, softer\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\nfill_light = bpy.context.active_object\\nfill_light.name = \\\"Fill_Light\\\"\\nfill_light.data.energy = 300\\nfill_light.data.size = 3\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\n\\n# Add rim/back light\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\nrim_light = bpy.context.active_object\\nrim_light.name = \\\"Rim_Light\\\"\\nrim_light.data.energy = 200\\nrim_light.data.size = 2\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\n\\nprint(\\\"Lights added\\\")\", \"user_prompt\": \"Set up lighting for a clean presentation with soft shadows\"}"}}]}, {"role": "tool", "tool_call_id": "call_7da2ec4b1aa04b2f83edae2b", "content": "Code executed successfully: Lights added\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_be716b1625a6414fb95eeec3", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\": \"import bpy\\nimport math\\n\\n# Delete any existing cameras\\nfor obj in bpy.data.objects:\\n    if obj.type == 'CAMERA':\\n        bpy.data.objects.remove(obj)\\n\\n# Add a camera\\nbpy.ops.object.camera_add(location=(3, -3, 2))\\ncam = bpy.context.active_object\\ncam.name = \\\"Camera\\\"\\n\\n# Point camera at the sphere (origin at 0,0,0.5)\\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\\n\\n# Set camera as active\\nbpy.context.scene.camera = cam\\n\\n# Set camera lens\\ncam.data.lens = 50  # 50mm lens for natural perspective\\n\\nprint(\\\"Camera set up\\\")\", \"user_prompt\": \"Set up camera framing for the sphere on ground plane\"}"}}]}, {"role": "tool", "tool_call_id": "call_be716b1625a6414fb95eeec3", "content": "Code executed successfully: Camera set up\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": "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": "2026-07-15T00:52:21.730155+00:00", "finished_at": "2026-07-15T00:52:27.784016+00:00", "duration_s": 6.062000000005355, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "28784", "content-type": "application/json"}, "body": "{\"model\":\"deepseek/deepseek-v4-flash\",\"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_5b2f152ae6bd4756a06d9086\",\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"arguments\":\"{\\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_5b2f152ae6bd4756a06d9086\",\"content\":\"{\\n  \\\"name\\\": \\\"Scene\\\",\\n  \\\"object_count\\\": 0,\\n  \\\"objects\\\": [],\\n  \\\"materials_count\\\": 2\\n}\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_87fd60e668f04e9597377763\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"# Clear the scene\\\\nimport bpy\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\n\\\\n# Add a ground plane\\\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\\\nground = bpy.context.active_object\\\\nground.name = \\\\\\\"Ground\\\\\\\"\\\\n\\\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\\\n# Center of sphere at z=0.5 so bottom touches z=0\\\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\\\nsphere = bpy.context.active_object\\\\nsphere.name = \\\\\\\"RedBall_Sphere\\\\\\\"\\\\n\\\\nprint(\\\\\\\"Created sphere and ground plane\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_87fd60e668f04e9597377763\",\"content\":\"Code executed successfully: Created sphere and ground plane\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7637d9ed48b745a7b6a44195\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\\\nbpy.context.view_layer.objects.active = ground\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\\\nprincipled.inputs['Specular'].default_value = 0.5\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Specular'].default_value = 0.3\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7637d9ed48b745a7b6a44195\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \\\"Specular\\\" not found'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_d987c7d832b14ae8b9eca03a\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Get objects\\\\nsphere = bpy.data.objects[\\\\\\\"RedBall_Sphere\\\\\\\"]\\\\nground = bpy.data.objects[\\\\\\\"Ground\\\\\\\"]\\\\n\\\\n# Apply smooth shading to sphere\\\\nbpy.context.view_layer.objects.active = sphere\\\\nbpy.ops.object.shade_smooth()\\\\n\\\\n# Create red material for sphere\\\\nred_mat = bpy.data.materials.new(name=\\\\\\\"Red_Material\\\\\\\")\\\\nred_mat.use_nodes = True\\\\nnodes = red_mat.node_tree.nodes\\\\nlinks = red_mat.node_tree.links\\\\n\\\\n# Clear default nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Create Principled BSDF\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Create output node\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\n\\\\n# Link\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to sphere\\\\nif sphere.data.materials:\\\\n    sphere.data.materials[0] = red_mat\\\\nelse:\\\\n    sphere.data.materials.append(red_mat)\\\\n\\\\n# Create white material for ground\\\\nwhite_mat = bpy.data.materials.new(name=\\\\\\\"White_Material\\\\\\\")\\\\nwhite_mat.use_nodes = True\\\\nnodes = white_mat.node_tree.nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\\\nprincipled.location = (0, 0)\\\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\\\nprincipled.inputs['Metallic'].default_value = 0.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\\\noutput.location = (200, 0)\\\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\\\n\\\\n# Assign to ground\\\\nif ground.data.materials:\\\\n    ground.data.materials[0] = white_mat\\\\nelse:\\\\n    ground.data.materials.append(white_mat)\\\\n\\\\nprint(\\\\\\\"Materials created and assigned\\\\\\\")\\\", \\\"user_prompt\\\": \\\"A red sphere of 1 meter diameter resting on a white ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_d987c7d832b14ae8b9eca03a\",\"content\":\"Code executed successfully: Materials created and assigned\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_e8215fd50de84f29bb1034e1\",\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"arguments\":\"{}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_e8215fd50de84f29bb1034e1\",\"content\":\"PolyHaven integration is currently disabled. To enable it:\\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\\n                            2. Check the 'Use assets from Poly Haven' checkbox\\n                            3. Restart the connection to Claude\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_0d7974da96bd483bb5062d39\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Set up world background to dark/neutral\\\\nworld = bpy.data.worlds['World']\\\\nworld.use_nodes = True\\\\nnodes = world.node_tree.nodes\\\\nlinks = world.node_tree.links\\\\n\\\\n# Clear world nodes\\\\nfor node in nodes:\\\\n    nodes.remove(node)\\\\n\\\\n# Add a simple background color node\\\\nbg = nodes.new(type='ShaderNodeBackground')\\\\nbg.location = (0, 0)\\\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\\\nbg.inputs['Strength'].default_value = 1.0\\\\n\\\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\\\noutput.location = (200, 0)\\\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\\\n\\\\nprint(\\\\\\\"World background set to dark gray\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up lighting and world background for a clean presentation\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_0d7974da96bd483bb5062d39\",\"content\":\"Code executed successfully: World background set to dark gray\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7da2ec4b1aa04b2f83edae2b\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\n\\\\n# Set render engine to Cycles for better shadows and reflections\\\\nbpy.context.scene.render.engine = 'CYCLES'\\\\nbpy.context.scene.cycles.samples = 128\\\\n\\\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\\\n\\\\n# Delete default lights if any\\\\nfor obj in bpy.data.objects:\\\\n    if obj.type == 'LIGHT':\\\\n        bpy.data.objects.remove(obj)\\\\n\\\\n# Add key light - from top-left-front\\\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\\\nkey_light = bpy.context.active_object\\\\nkey_light.name = \\\\\\\"Key_Light\\\\\\\"\\\\nkey_light.data.energy = 800\\\\nkey_light.data.size = 2  # Soft light\\\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\\\n\\\\n# Add fill light - from right, softer\\\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\\\nfill_light = bpy.context.active_object\\\\nfill_light.name = \\\\\\\"Fill_Light\\\\\\\"\\\\nfill_light.data.energy = 300\\\\nfill_light.data.size = 3\\\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\\\n\\\\n# Add rim/back light\\\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\\\nrim_light = bpy.context.active_object\\\\nrim_light.name = \\\\\\\"Rim_Light\\\\\\\"\\\\nrim_light.data.energy = 200\\\\nrim_light.data.size = 2\\\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\\\n\\\\nprint(\\\\\\\"Lights added\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up lighting for a clean presentation with soft shadows\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7da2ec4b1aa04b2f83edae2b\",\"content\":\"Code executed successfully: Lights added\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_be716b1625a6414fb95eeec3\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\nimport math\\\\n\\\\n# Delete any existing cameras\\\\nfor obj in bpy.data.objects:\\\\n    if obj.type == 'CAMERA':\\\\n        bpy.data.objects.remove(obj)\\\\n\\\\n# Add a camera\\\\nbpy.ops.object.camera_add(location=(3, -3, 2))\\\\ncam = bpy.context.active_object\\\\ncam.name = \\\\\\\"Camera\\\\\\\"\\\\n\\\\n# Point camera at the sphere (origin at 0,0,0.5)\\\\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\\\\n\\\\n# Set camera as active\\\\nbpy.context.scene.camera = cam\\\\n\\\\n# Set camera lens\\\\ncam.data.lens = 50  # 50mm lens for natural perspective\\\\n\\\\nprint(\\\\\\\"Camera set up\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up camera framing for the sphere on ground plane\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_be716b1625a6414fb95eeec3\",\"content\":\"Code executed successfully: Camera set up\\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\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"deepseek/deepseek-v4-flash","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_5b2f152ae6bd4756a06d9086","type":"function","function":{"name":"get_scene_info","arguments":"{\"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_5b2f152ae6bd4756a06d9086","content":"{\n  \"name\": \"Scene\",\n  \"object_count\": 0,\n  \"objects\": [],\n  \"materials_count\": 2\n}"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_87fd60e668f04e9597377763","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"# Clear the scene\\nimport bpy\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\n\\n# Add a ground plane\\nbpy.ops.mesh.primitive_plane_add(size=10, location=(0, 0, 0))\\nground = bpy.context.active_object\\nground.name = \\\"Ground\\\"\\n\\n# Add a sphere - radius 0.5m, positioned so it touches the ground at z=0\\n# Center of sphere at z=0.5 so bottom touches z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(radius=0.5, location=(0, 0, 0.5))\\nsphere = bpy.context.active_object\\nsphere.name = \\\"RedBall_Sphere\\\"\\n\\nprint(\\\"Created sphere and ground plane\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_87fd60e668f04e9597377763","content":"Code executed successfully: Created sphere and ground plane\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7637d9ed48b745a7b6a44195","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Also smooth the ground (it's flat so doesn't matter, but for consistency)\\nbpy.context.view_layer.objects.active = ground\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness\\nprincipled.inputs['Specular'].default_value = 0.5\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Specular'].default_value = 0.3\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_7637d9ed48b745a7b6a44195","content":"Error executing code: Communication error with Blender: Code execution error: 'bpy_prop_collection[key]: key \"Specular\" not found'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_d987c7d832b14ae8b9eca03a","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Get objects\\nsphere = bpy.data.objects[\\\"RedBall_Sphere\\\"]\\nground = bpy.data.objects[\\\"Ground\\\"]\\n\\n# Apply smooth shading to sphere\\nbpy.context.view_layer.objects.active = sphere\\nbpy.ops.object.shade_smooth()\\n\\n# Create red material for sphere\\nred_mat = bpy.data.materials.new(name=\\\"Red_Material\\\")\\nred_mat.use_nodes = True\\nnodes = red_mat.node_tree.nodes\\nlinks = red_mat.node_tree.links\\n\\n# Clear default nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Create Principled BSDF\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (0.9, 0.05, 0.05, 1.0)  # Red\\nprincipled.inputs['Roughness'].default_value = 0.2  # Slight glossiness - catches light\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\n# Create output node\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\n\\n# Link\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to sphere\\nif sphere.data.materials:\\n    sphere.data.materials[0] = red_mat\\nelse:\\n    sphere.data.materials.append(red_mat)\\n\\n# Create white material for ground\\nwhite_mat = bpy.data.materials.new(name=\\\"White_Material\\\")\\nwhite_mat.use_nodes = True\\nnodes = white_mat.node_tree.nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\nprincipled = nodes.new(type='ShaderNodeBsdfPrincipled')\\nprincipled.location = (0, 0)\\nprincipled.inputs['Base Color'].default_value = (1.0, 1.0, 1.0, 1.0)  # White\\nprincipled.inputs['Roughness'].default_value = 0.6  # Slightly rough\\nprincipled.inputs['Metallic'].default_value = 0.0\\n\\noutput = nodes.new(type='ShaderNodeOutputMaterial')\\noutput.location = (200, 0)\\nlink = links.new(principled.outputs['BSDF'], output.inputs['Surface'])\\n\\n# Assign to ground\\nif ground.data.materials:\\n    ground.data.materials[0] = white_mat\\nelse:\\n    ground.data.materials.append(white_mat)\\n\\nprint(\\\"Materials created and assigned\\\")\", \"user_prompt\": \"A red sphere of 1 meter diameter resting on a white ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_d987c7d832b14ae8b9eca03a","content":"Code executed successfully: Materials created and assigned\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_e8215fd50de84f29bb1034e1","type":"function","function":{"name":"get_polyhaven_status","arguments":"{}"}}]},{"role":"tool","tool_call_id":"call_e8215fd50de84f29bb1034e1","content":"PolyHaven integration is currently disabled. To enable it:\n                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)\n                            2. Check the 'Use assets from Poly Haven' checkbox\n                            3. Restart the connection to Claude"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_0d7974da96bd483bb5062d39","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Set up world background to dark/neutral\\nworld = bpy.data.worlds['World']\\nworld.use_nodes = True\\nnodes = world.node_tree.nodes\\nlinks = world.node_tree.links\\n\\n# Clear world nodes\\nfor node in nodes:\\n    nodes.remove(node)\\n\\n# Add a simple background color node\\nbg = nodes.new(type='ShaderNodeBackground')\\nbg.location = (0, 0)\\nbg.inputs['Color'].default_value = (0.1, 0.1, 0.1, 1.0)  # Dark gray background\\nbg.inputs['Strength'].default_value = 1.0\\n\\noutput = nodes.new(type='ShaderNodeOutputWorld')\\noutput.location = (200, 0)\\nlinks.new(bg.outputs['Background'], output.inputs['Surface'])\\n\\nprint(\\\"World background set to dark gray\\\")\", \"user_prompt\": \"Set up lighting and world background for a clean presentation\"}"}}]},{"role":"tool","tool_call_id":"call_0d7974da96bd483bb5062d39","content":"Code executed successfully: World background set to dark gray\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7da2ec4b1aa04b2f83edae2b","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\n\\n# Set render engine to Cycles for better shadows and reflections\\nbpy.context.scene.render.engine = 'CYCLES'\\nbpy.context.scene.cycles.samples = 128\\n\\n# Enable shadow catcher? No, we just need lights to cast shadows naturally.\\n\\n# Delete default lights if any\\nfor obj in bpy.data.objects:\\n    if obj.type == 'LIGHT':\\n        bpy.data.objects.remove(obj)\\n\\n# Add key light - from top-left-front\\nbpy.ops.object.light_add(type='AREA', location=(-3, -2, 5))\\nkey_light = bpy.context.active_object\\nkey_light.name = \\\"Key_Light\\\"\\nkey_light.data.energy = 800\\nkey_light.data.size = 2  # Soft light\\nkey_light.rotation_euler = (0.8, 0, 0.5)\\n\\n# Add fill light - from right, softer\\nbpy.ops.object.light_add(type='AREA', location=(3, 2, 3))\\nfill_light = bpy.context.active_object\\nfill_light.name = \\\"Fill_Light\\\"\\nfill_light.data.energy = 300\\nfill_light.data.size = 3\\nfill_light.rotation_euler = (0.6, 0, -0.9)\\n\\n# Add rim/back light\\nbpy.ops.object.light_add(type='AREA', location=(0, 4, 3))\\nrim_light = bpy.context.active_object\\nrim_light.name = \\\"Rim_Light\\\"\\nrim_light.data.energy = 200\\nrim_light.data.size = 2\\nrim_light.rotation_euler = (0.5, 0, 3.14)\\n\\nprint(\\\"Lights added\\\")\", \"user_prompt\": \"Set up lighting for a clean presentation with soft shadows\"}"}}]},{"role":"tool","tool_call_id":"call_7da2ec4b1aa04b2f83edae2b","content":"Code executed successfully: Lights added\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_be716b1625a6414fb95eeec3","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\": \"import bpy\\nimport math\\n\\n# Delete any existing cameras\\nfor obj in bpy.data.objects:\\n    if obj.type == 'CAMERA':\\n        bpy.data.objects.remove(obj)\\n\\n# Add a camera\\nbpy.ops.object.camera_add(location=(3, -3, 2))\\ncam = bpy.context.active_object\\ncam.name = \\\"Camera\\\"\\n\\n# Point camera at the sphere (origin at 0,0,0.5)\\ncam.rotation_euler = (math.radians(60), 0, math.radians(45))\\n\\n# Set camera as active\\nbpy.context.scene.camera = cam\\n\\n# Set camera lens\\ncam.data.lens = 50  # 50mm lens for natural perspective\\n\\nprint(\\\"Camera set up\\\")\", \"user_prompt\": \"Set up camera framing for the sphere on ground plane\"}"}}]},{"role":"tool","tool_call_id":"call_be716b1625a6414fb95eeec3","content":"Code executed successfully: Camera set up\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":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 00:52:22 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784076740-poAS79fz82qYeakj06a1", "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": "a1b4c8abfa9b3c8a-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-1784076740-poAS79fz82qYeakj06a1\",\"object\":\"chat.completion\",\"created\":1784076740,\"model\":\"deepseek/deepseek-v4-flash\",\"provider\":\"StreamLake\",\"system_fingerprint\":null,\"service_tier\":null,\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_calls\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":\"Let me check the current view to see how the scene looks.\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_eb4df0d15ca74e709e4d03a8\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\": \\\"import bpy\\\\nimport math\\\\nfrom mathutils import Vector\\\\n\\\\n# Let's look at the scene from the camera view\\\\n# First, let's check the camera position and orientation\\\\ncam = bpy.data.objects[\\\\\\\"Camera\\\\\\\"]\\\\nprint(f\\\\\\\"Camera location: {cam.location}\\\\\\\")\\\\nprint(f\\\\\\\"Camera rotation: {cam.rotation_euler}\\\\\\\")\\\\n\\\\n# Let's check what the camera sees - point it at the center of the sphere\\\\n# Sphere center is at (0, 0, 0.5)\\\\n\\\\n# Let's use a better camera position\\\\n# Looking from a slight angle to show the sphere and the ground\\\\ncam.location = (2.5, -2.5, 1.5)\\\\n# Aim at (0, 0, 0.5) which is the center of the sphere\\\\n# Calculate direction\\\\ndirection = Vector((0, 0, 0.5)) - cam.location\\\\n# Use track-to constraint\\\\nbpy.ops.object.select_all(action='DESELECT')\\\\ncam.select_set(True)\\\\nbpy.context.view_layer.objects.active = cam\\\\nbpy.ops.object.constraint_add(type='TRACK_TO')\\\\nconstraint = cam.constraints['Track To']\\\\nconstraint.target = bpy.data.objects['RedBall_Sphere']\\\\nconstraint.track_axis = 'TRACK_NEGATIVE_Z'\\\\nconstraint.up_axis = 'UP_Y'\\\\n\\\\ncam.data.lens = 60\\\\n\\\\nprint(\\\\\\\"Camera re-aimed at sphere\\\\\\\")\\\", \\\"user_prompt\\\": \\\"Set up camera framing for the sphere on ground plane\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Let me check the current view to see how the scene looks.\",\"format\":\"unknown\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":7600,\"completion_tokens\":390,\"total_tokens\":7990,\"cost\":0.00033469968,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":6144,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00033469968,\"upstream_inference_prompt_cost\":0.00025935168,\"upstream_inference_completions_cost\":0.000075348},\"completion_tokens_details\":{\"reasoning_tokens\":13,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "CiAgICAgICAgIAoKICAgICAgICAgCgogICAgICAgICAKCiAgICAgICAgIAoKICAgICAgICAgCgogICAgICAgICAKCiAgICAgICAgIAoKICAgICAgICAgCgogICAgICAgICAKCiAgICAgICAgIAoKICAgICAgICAgCgogICAgICAgICAKCiAgICAgICAgIAp7ImlkIjoiZ2VuLTE3ODQwNzY3NDAtcG9BUzc5Zno4MnFZZWFrajA2YTEiLCJvYmplY3QiOiJjaGF0LmNvbXBsZXRpb24iLCJjcmVhdGVkIjoxNzg0MDc2NzQwLCJtb2RlbCI6ImRlZXBzZWVrL2RlZXBzZWVrLXY0LWZsYXNoIiwicHJvdmlkZXIiOiJTdHJlYW1MYWtlIiwic3lzdGVtX2ZpbmdlcnByaW50IjpudWxsLCJzZXJ2aWNlX3RpZXIiOm51bGwsImNob2ljZXMiOlt7ImluZGV4IjowLCJsb2dwcm9icyI6bnVsbCwiZmluaXNoX3JlYXNvbiI6InRvb2xfY2FsbHMiLCJuYXRpdmVfZmluaXNoX3JlYXNvbiI6InRvb2xfY2FsbHMiLCJtZXNzYWdlIjp7InJvbGUiOiJhc3Npc3RhbnQiLCJjb250ZW50IjpudWxsLCJyZWZ1c2FsIjpudWxsLCJyZWFzb25pbmciOiJMZXQgbWUgY2hlY2sgdGhlIGN1cnJlbnQgdmlldyB0byBzZWUgaG93IHRoZSBzY2VuZSBsb29rcy4iLCJ0b29sX2NhbGxzIjpbeyJ0eXBlIjoiZnVuY3Rpb24iLCJpbmRleCI6MCwiaWQiOiJjYWxsX2ViNGRmMGQxNWNhNzRlNzA5ZTRkMDNhOCIsImZ1bmN0aW9uIjp7Im5hbWUiOiJleGVjdXRlX2JsZW5kZXJfY29kZSIsImFyZ3VtZW50cyI6IntcImNvZGVcIjogXCJpbXBvcnQgYnB5XFxuaW1wb3J0IG1hdGhcXG5mcm9tIG1hdGh1dGlscyBpbXBvcnQgVmVjdG9yXFxuXFxuIyBMZXQncyBsb29rIGF0IHRoZSBzY2VuZSBmcm9tIHRoZSBjYW1lcmEgdmlld1xcbiMgRmlyc3QsIGxldCdzIGNoZWNrIHRoZSBjYW1lcmEgcG9zaXRpb24gYW5kIG9yaWVudGF0aW9uXFxuY2FtID0gYnB5LmRhdGEub2JqZWN0c1tcXFwiQ2FtZXJhXFxcIl1cXG5wcmludChmXFxcIkNhbWVyYSBsb2NhdGlvbjoge2NhbS5sb2NhdGlvbn1cXFwiKVxcbnByaW50KGZcXFwiQ2FtZXJhIHJvdGF0aW9uOiB7Y2FtLnJvdGF0aW9uX2V1bGVyfVxcXCIpXFxuXFxuIyBMZXQncyBjaGVjayB3aGF0IHRoZSBjYW1lcmEgc2VlcyAtIHBvaW50IGl0IGF0IHRoZSBjZW50ZXIgb2YgdGhlIHNwaGVyZVxcbiMgU3BoZXJlIGNlbnRlciBpcyBhdCAoMCwgMCwgMC41KVxcblxcbiMgTGV0J3MgdXNlIGEgYmV0dGVyIGNhbWVyYSBwb3NpdGlvblxcbiMgTG9va2luZyBmcm9tIGEgc2xpZ2h0IGFuZ2xlIHRvIHNob3cgdGhlIHNwaGVyZSBhbmQgdGhlIGdyb3VuZFxcbmNhbS5sb2NhdGlvbiA9ICgyLjUsIC0yLjUsIDEuNSlcXG4jIEFpbSBhdCAoMCwgMCwgMC41KSB3aGljaCBpcyB0aGUgY2VudGVyIG9mIHRoZSBzcGhlcmVcXG4jIENhbGN1bGF0ZSBkaXJlY3Rpb25cXG5kaXJlY3Rpb24gPSBWZWN0b3IoKDAsIDAsIDAuNSkpIC0gY2FtLmxvY2F0aW9uXFxuIyBVc2UgdHJhY2stdG8gY29uc3RyYWludFxcbmJweS5vcHMub2JqZWN0LnNlbGVjdF9hbGwoYWN0aW9uPSdERVNFTEVDVCcpXFxuY2FtLnNlbGVjdF9zZXQoVHJ1ZSlcXG5icHkuY29udGV4dC52aWV3X2xheWVyLm9iamVjdHMuYWN0aXZlID0gY2FtXFxuYnB5Lm9wcy5vYmplY3QuY29uc3RyYWludF9hZGQodHlwZT0nVFJBQ0tfVE8nKVxcbmNvbnN0cmFpbnQgPSBjYW0uY29uc3RyYWludHNbJ1RyYWNrIFRvJ11cXG5jb25zdHJhaW50LnRhcmdldCA9IGJweS5kYXRhLm9iamVjdHNbJ1JlZEJhbGxfU3BoZXJlJ11cXG5jb25zdHJhaW50LnRyYWNrX2F4aXMgPSAnVFJBQ0tfTkVHQVRJVkVfWidcXG5jb25zdHJhaW50LnVwX2F4aXMgPSAnVVBfWSdcXG5cXG5jYW0uZGF0YS5sZW5zID0gNjBcXG5cXG5wcmludChcXFwiQ2FtZXJhIHJlLWFpbWVkIGF0IHNwaGVyZVxcXCIpXCIsIFwidXNlcl9wcm9tcHRcIjogXCJTZXQgdXAgY2FtZXJhIGZyYW1pbmcgZm9yIHRoZSBzcGhlcmUgb24gZ3JvdW5kIHBsYW5lXCJ9In19XSwicmVhc29uaW5nX2RldGFpbHMiOlt7InR5cGUiOiJyZWFzb25pbmcudGV4dCIsInRleHQiOiJMZXQgbWUgY2hlY2sgdGhlIGN1cnJlbnQgdmlldyB0byBzZWUgaG93IHRoZSBzY2VuZSBsb29rcy4iLCJmb3JtYXQiOiJ1bmtub3duIiwiaW5kZXgiOjB9XX19XSwidXNhZ2UiOnsicHJvbXB0X3Rva2VucyI6NzYwMCwiY29tcGxldGlvbl90b2tlbnMiOjM5MCwidG90YWxfdG9rZW5zIjo3OTkwLCJjb3N0IjowLjAwMDMzNDY5OTY4LCJpc19ieW9rIjpmYWxzZSwicHJvbXB0X3Rva2Vuc19kZXRhaWxzIjp7ImNhY2hlZF90b2tlbnMiOjYxNDQsImNhY2hlX3dyaXRlX3Rva2VucyI6MCwiYXVkaW9fdG9rZW5zIjowLCJ2aWRlb190b2tlbnMiOjB9LCJjb3N0X2RldGFpbHMiOnsidXBzdHJlYW1faW5mZXJlbmNlX2Nvc3QiOjAuMDAwMzM0Njk5NjgsInVwc3RyZWFtX2luZmVyZW5jZV9wcm9tcHRfY29zdCI6MC4wMDAyNTkzNTE2OCwidXBzdHJlYW1faW5mZXJlbmNlX2NvbXBsZXRpb25zX2Nvc3QiOjAuMDAwMDc1MzQ4fSwiY29tcGxldGlvbl90b2tlbnNfZGV0YWlscyI6eyJyZWFzb25pbmdfdG9rZW5zIjoxMywiaW1hZ2VfdG9rZW5zIjowLCJhdWRpb190b2tlbnMiOjB9fX0="}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_eb4df0d15ca74e709e4d03a8", "name": "execute_blender_code", "arguments": {"code": "import bpy\nimport math\nfrom mathutils import Vector\n\n# Let's look at the scene from the camera view\n# First, let's check the camera position and orientation\ncam = bpy.data.objects[\"Camera\"]\nprint(f\"Camera location: {cam.location}\")\nprint(f\"Camera rotation: {cam.rotation_euler}\")\n\n# Let's check what the camera sees - point it at the center of the sphere\n# Sphere center is at (0, 0, 0.5)\n\n# Let's use a better camera position\n# Looking from a slight angle to show the sphere and the ground\ncam.location = (2.5, -2.5, 1.5)\n# Aim at (0, 0, 0.5) which is the center of the sphere\n# Calculate direction\ndirection = Vector((0, 0, 0.5)) - cam.location\n# Use track-to constraint\nbpy.ops.object.select_all(action='DESELECT')\ncam.select_set(True)\nbpy.context.view_layer.objects.active = cam\nbpy.ops.object.constraint_add(type='TRACK_TO')\nconstraint = cam.constraints['Track To']\nconstraint.target = bpy.data.objects['RedBall_Sphere']\nconstraint.track_axis = 'TRACK_NEGATIVE_Z'\nconstraint.up_axis = 'UP_Y'\n\ncam.data.lens = 60\n\nprint(\"Camera re-aimed at sphere\")", "user_prompt": "Set up camera framing for the sphere on ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\nimport math\\nfrom mathutils import Vector\\n\\n# Let's look at the scene from the camera view\\n# First, let's check the camera position and orientation\\ncam = bpy.data.objects[\\\"Camera\\\"]\\nprint(f\\\"Camera location: {cam.location}\\\")\\nprint(f\\\"Camera rotation: {cam.rotation_euler}\\\")\\n\\n# Let's check what the camera sees - point it at the center of the sphere\\n# Sphere center is at (0, 0, 0.5)\\n\\n# Let's use a better camera position\\n# Looking from a slight angle to show the sphere and the ground\\ncam.location = (2.5, -2.5, 1.5)\\n# Aim at (0, 0, 0.5) which is the center of the sphere\\n# Calculate direction\\ndirection = Vector((0, 0, 0.5)) - cam.location\\n# Use track-to constraint\\nbpy.ops.object.select_all(action='DESELECT')\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\nbpy.ops.object.constraint_add(type='TRACK_TO')\\nconstraint = cam.constraints['Track To']\\nconstraint.target = bpy.data.objects['RedBall_Sphere']\\nconstraint.track_axis = 'TRACK_NEGATIVE_Z'\\nconstraint.up_axis = 'UP_Y'\\n\\ncam.data.lens = 60\\n\\nprint(\\\"Camera re-aimed at sphere\\\")\", \"user_prompt\": \"Set up camera framing for the sphere on ground plane\"}", "parse_error": null}], "tokens_in": 7600, "tokens_out": 390, "cost_usd": 0.00033469968, "cached_tokens": 6144}, "error": null}
{"ts": "2026-07-15T00:52:27.789463+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_eb4df0d15ca74e709e4d03a8", "name": "execute_blender_code", "arguments": {"code": "import bpy\nimport math\nfrom mathutils import Vector\n\n# Let's look at the scene from the camera view\n# First, let's check the camera position and orientation\ncam = bpy.data.objects[\"Camera\"]\nprint(f\"Camera location: {cam.location}\")\nprint(f\"Camera rotation: {cam.rotation_euler}\")\n\n# Let's check what the camera sees - point it at the center of the sphere\n# Sphere center is at (0, 0, 0.5)\n\n# Let's use a better camera position\n# Looking from a slight angle to show the sphere and the ground\ncam.location = (2.5, -2.5, 1.5)\n# Aim at (0, 0, 0.5) which is the center of the sphere\n# Calculate direction\ndirection = Vector((0, 0, 0.5)) - cam.location\n# Use track-to constraint\nbpy.ops.object.select_all(action='DESELECT')\ncam.select_set(True)\nbpy.context.view_layer.objects.active = cam\nbpy.ops.object.constraint_add(type='TRACK_TO')\nconstraint = cam.constraints['Track To']\nconstraint.target = bpy.data.objects['RedBall_Sphere']\nconstraint.track_axis = 'TRACK_NEGATIVE_Z'\nconstraint.up_axis = 'UP_Y'\n\ncam.data.lens = 60\n\nprint(\"Camera re-aimed at sphere\")", "user_prompt": "Set up camera framing for the sphere on ground plane"}, "raw_arguments": "{\"code\": \"import bpy\\nimport math\\nfrom mathutils import Vector\\n\\n# Let's look at the scene from the camera view\\n# First, let's check the camera position and orientation\\ncam = bpy.data.objects[\\\"Camera\\\"]\\nprint(f\\\"Camera location: {cam.location}\\\")\\nprint(f\\\"Camera rotation: {cam.rotation_euler}\\\")\\n\\n# Let's check what the camera sees - point it at the center of the sphere\\n# Sphere center is at (0, 0, 0.5)\\n\\n# Let's use a better camera position\\n# Looking from a slight angle to show the sphere and the ground\\ncam.location = (2.5, -2.5, 1.5)\\n# Aim at (0, 0, 0.5) which is the center of the sphere\\n# Calculate direction\\ndirection = Vector((0, 0, 0.5)) - cam.location\\n# Use track-to constraint\\nbpy.ops.object.select_all(action='DESELECT')\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\nbpy.ops.object.constraint_add(type='TRACK_TO')\\nconstraint = cam.constraints['Track To']\\nconstraint.target = bpy.data.objects['RedBall_Sphere']\\nconstraint.track_axis = 'TRACK_NEGATIVE_Z'\\nconstraint.up_axis = 'UP_Y'\\n\\ncam.data.lens = 60\\n\\nprint(\\\"Camera re-aimed at sphere\\\")\", \"user_prompt\": \"Set up camera framing for the sphere on ground plane\"}", "parse_error": null}]}
{"ts": "2026-07-15T00:52:27.789463+00:00", "type": "status", "status": "budget_exhausted", "done_declared": false}