You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your 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.

Complete 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.

## Harness Instructions

You 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.


## Task

Complete the following Blender task:

<task>

A red sphere of 1 meter diameter resting on a white ground plane — touching it
exactly, neither floating nor sunk. Smooth shading, a plain red material on the
ball, plain white on the floor.

The floor is the sphere, the color, and the contact. The ceiling is presentation:
a soft believable shadow under the ball, a hint of glossiness that catches the
light, and clean framing.

</task>


[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your 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.

Complete 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.

## Harness Instructions

You 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.

[User]
## Task

Complete the following Blender task:

<task>

A red sphere of 1 meter diameter resting on a white ground plane — touching it
exactly, neither floating nor sunk. Smooth shading, a plain red material on the
ball, plain white on the floor.

The floor is the sphere, the color, and the contact. The ceiling is presentation:
a soft believable shadow under the ball, a hint of glossiness that catches the
light, and clean framing.

</task>

Get detailed information about the current Blender scene

    Parameters:
    - user_prompt: The original user prompt that led to this tool call (required for telemetry)

User Prompt

get_scene_infoArguments

    Get detailed information about a specific object in the Blender scene.

    Parameters:
    - object_name: The name of the object to get information about
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Object Name

User Prompt

get_object_infoArguments

    Capture a screenshot of the current Blender 3D viewport.

    Parameters:
    - max_size: Maximum size in pixels for the largest dimension (default: 800)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns the screenshot as an Image.

Max Size

User Prompt

get_viewport_screenshotArguments

    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.

    Parameters:
    - code: The Python code to execute
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Code

User Prompt

execute_blender_codeArguments

    Get a list of categories for a specific asset type on Polyhaven.

    Parameters:
    - asset_type: The type of asset to get categories for (hdris, textures, models, all)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Asset Type

User Prompt

get_polyhaven_categoriesArguments

    Search for assets on Polyhaven with optional filtering.

    Parameters:
    - asset_type: Type of assets to search for (hdris, textures, models, all)
    - categories: Optional comma-separated list of categories to filter by
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a list of matching assets with basic information.

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

    Download and import a Polyhaven asset into Blender.

    Parameters:
    - asset_id: The ID of the asset to download
    - asset_type: The type of asset (hdris, textures, models)
    - resolution: The resolution to download (e.g., 1k, 2k, 4k)
    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a message indicating success or failure.

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

    Apply a previously downloaded Polyhaven texture to an object.

    Parameters:
    - object_name: Name of the object to apply the texture to
    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)

    Returns a message indicating success or failure.

Object Name

Texture Id

User Prompt

set_textureArguments

    Check if PolyHaven integration is enabled in Blender.
    Returns a message indicating whether PolyHaven features are available.

User Prompt

get_polyhaven_statusArguments

    Check if Hyper3D Rodin integration is enabled in Blender.
    Returns a message indicating whether Hyper3D Rodin features are available.

User Prompt

    Check if Sketchfab integration is enabled in Blender.
    Returns a message indicating whether Sketchfab features are available.

User Prompt

get_sketchfab_statusArguments

    Search for models on Sketchfab with optional filtering.

    Parameters:
    - query: Text to search for
    - categories: Optional comma-separated list of categories
    - count: Maximum number of results to return (default 20)
    - downloadable: Whether to include only downloadable models (default True)

    Returns a formatted list of matching models.

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

    Get a preview thumbnail of a Sketchfab model by its UID.
    Use this to visually confirm a model before downloading.

    Parameters:
    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)

    Returns the model's thumbnail as an Image for visual confirmation.

Uid

User Prompt

get_sketchfab_model_previewArguments

    Download and import a Sketchfab model by its UID.
    The model will be scaled so its largest dimension equals target_size.

    Parameters:
    - uid: The unique identifier of the Sketchfab model
    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.
                  You must specify the desired size for the model.
                  Examples:
                  - Chair: target_size=1.0 (1 meter tall)
                  - Table: target_size=0.75 (75cm tall)
                  - Car: target_size=4.5 (4.5 meters long)
                  - Person: target_size=1.7 (1.7 meters tall)
                  - Small object (cup, phone): target_size=0.1 to 0.3

    Returns a message with import details including object names, dimensions, and bounding box.
    The model must be downloadable and you must have proper access rights.

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - text_prompt: A short description of the desired model in **English**.
    - 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.

    Returns a message indicating success or failure.

Text Prompt

Bbox Condition

User Prompt

    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - 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.
    - 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.
    - 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.

    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.
    Returns a message indicating success or failure.

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

    Check if the Hyper3D Rodin generation task is completed.

    For Hyper3D Rodin mode MAIN_SITE:
        Parameters:
        - subscription_key: The subscription_key given in the generate model step.

        Returns a list of status. The task is done if all status are "Done".
        If "Failed" showed up, the generating process failed.
        This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").

    For Hyper3D Rodin mode FAL_AI:
        Parameters:
        - request_id: The request_id given in the generate model step.

        Returns the generation task status. The task is done if status is "COMPLETED".
        The task is in progress if status is "IN_PROGRESS".
        If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
        This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).

Subscription Key

Request Id

poll_rodin_job_statusArguments

    Import the asset generated by Hyper3D Rodin after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.
    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.

    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!
    Return if the asset has been imported successfully.

Name

Task Uuid

Request Id

import_generated_assetArguments

    Check if Hunyuan3D integration is enabled in Blender.
    Returns a message indicating whether Hunyuan3D features are available.

User Prompt

    Generate 3D asset using Hunyuan3D by providing either text description, image reference,
    or both for the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.

    Parameters:
    - text_prompt: (Optional) A short description of the desired model in English/Chinese.
    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.

    Returns:
    - When successful, returns a JSON with job_id (format: "job_xxx") indicating the task is in progress
    - When the job completes, the status will change to "DONE" indicating the model has been imported
    - Returns error message if the operation fails

Text Prompt

Input Image Url

User Prompt

    Check if the Hunyuan3D generation task is completed.

    For Hunyuan3D:
        Parameters:
        - job_id: The job_id given in the generate model step.

        Returns the generation task status. The task is done if status is "DONE".
        The task is in progress if status is "RUN".
        If status is "DONE", returns ResultFile3Ds, which is the generated ZIP model path
        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.
        This is a polling API, so only proceed if the status are finally determined ("DONE" or some failed state).

Job Id

poll_hunyuan_job_statusArguments

    Import the asset generated by Hunyuan3D after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - zip_file_url: The zip_file_url given in the generate model step.

    Return if the asset has been imported successfully.

Name

Zip File Url

import_generated_asset_hunyuanArguments

[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your 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.

Complete 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.

## Harness Instructions

You 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.

[User]
## Task

Complete the following Blender task:

<task>

A red sphere of 1 meter diameter resting on a white ground plane — touching it
exactly, neither floating nor sunk. Smooth shading, a plain red material on the
ball, plain white on the floor.

The floor is the sphere, the color, and the contact. The ceiling is presentation:
a soft believable shadow under the ball, a hint of glossiness that catches the
light, and clean framing.

</task>

User Prompt

get_scene_infoArguments

Object Name

User Prompt

get_object_infoArguments

Max Size

User Prompt

get_viewport_screenshotArguments

Code

User Prompt

execute_blender_codeArguments

Asset Type

User Prompt

get_polyhaven_categoriesArguments

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

Object Name

Texture Id

User Prompt

set_textureArguments

User Prompt

get_polyhaven_statusArguments

User Prompt

User Prompt

get_sketchfab_statusArguments

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

Uid

User Prompt

get_sketchfab_model_previewArguments

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

Text Prompt

Bbox Condition

User Prompt

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

Subscription Key

Request Id

poll_rodin_job_statusArguments

Name

Task Uuid

Request Id

import_generated_assetArguments

User Prompt

Text Prompt

Input Image Url

User Prompt

Job Id

poll_hunyuan_job_statusArguments

Name

Zip File Url

import_generated_asset_hunyuanArguments

payment=(self "https://checkout.stripe.com" "https://connect-js.stripe.com" "https://js.stripe.com" "https://*.js.stripe.com" "https://hooks.stripe.com")

Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.

{"user_prompt":"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene."}


Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.


[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your 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.

Complete 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.

## Harness Instructions

You 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.

[User]
## Task

Complete the following Blender task:

<task>

A red sphere of 1 meter diameter resting on a white ground plane — touching it
exactly, neither floating nor sunk. Smooth shading, a plain red material on the
ball, plain white on the floor.

The floor is the sphere, the color, and the contact. The ceiling is presentation:
a soft believable shadow under the ball, a hint of glossiness that catches the
light, and clean framing.

</task>

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

Get detailed information about the current Blender scene

    Parameters:
    - user_prompt: The original user prompt that led to this tool call (required for telemetry)

User Prompt

get_scene_infoArguments

    Get detailed information about a specific object in the Blender scene.

    Parameters:
    - object_name: The name of the object to get information about
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Object Name

User Prompt

get_object_infoArguments

    Capture a screenshot of the current Blender 3D viewport.

    Parameters:
    - max_size: Maximum size in pixels for the largest dimension (default: 800)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns the screenshot as an Image.

Max Size

User Prompt

get_viewport_screenshotArguments

    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.

    Parameters:
    - code: The Python code to execute
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Code

User Prompt

execute_blender_codeArguments

    Get a list of categories for a specific asset type on Polyhaven.

    Parameters:
    - asset_type: The type of asset to get categories for (hdris, textures, models, all)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Asset Type

User Prompt

get_polyhaven_categoriesArguments

    Search for assets on Polyhaven with optional filtering.

    Parameters:
    - asset_type: Type of assets to search for (hdris, textures, models, all)
    - categories: Optional comma-separated list of categories to filter by
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a list of matching assets with basic information.

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

    Download and import a Polyhaven asset into Blender.

    Parameters:
    - asset_id: The ID of the asset to download
    - asset_type: The type of asset (hdris, textures, models)
    - resolution: The resolution to download (e.g., 1k, 2k, 4k)
    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a message indicating success or failure.

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

    Apply a previously downloaded Polyhaven texture to an object.

    Parameters:
    - object_name: Name of the object to apply the texture to
    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)

    Returns a message indicating success or failure.

Object Name

Texture Id

User Prompt

set_textureArguments

    Check if PolyHaven integration is enabled in Blender.
    Returns a message indicating whether PolyHaven features are available.

User Prompt

get_polyhaven_statusArguments

    Check if Hyper3D Rodin integration is enabled in Blender.
    Returns a message indicating whether Hyper3D Rodin features are available.

User Prompt

    Check if Sketchfab integration is enabled in Blender.
    Returns a message indicating whether Sketchfab features are available.

User Prompt

get_sketchfab_statusArguments

    Search for models on Sketchfab with optional filtering.

    Parameters:
    - query: Text to search for
    - categories: Optional comma-separated list of categories
    - count: Maximum number of results to return (default 20)
    - downloadable: Whether to include only downloadable models (default True)

    Returns a formatted list of matching models.

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

    Get a preview thumbnail of a Sketchfab model by its UID.
    Use this to visually confirm a model before downloading.

    Parameters:
    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)

    Returns the model's thumbnail as an Image for visual confirmation.

Uid

User Prompt

get_sketchfab_model_previewArguments

    Download and import a Sketchfab model by its UID.
    The model will be scaled so its largest dimension equals target_size.

    Parameters:
    - uid: The unique identifier of the Sketchfab model
    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.
                  You must specify the desired size for the model.
                  Examples:
                  - Chair: target_size=1.0 (1 meter tall)
                  - Table: target_size=0.75 (75cm tall)
                  - Car: target_size=4.5 (4.5 meters long)
                  - Person: target_size=1.7 (1.7 meters tall)
                  - Small object (cup, phone): target_size=0.1 to 0.3

    Returns a message with import details including object names, dimensions, and bounding box.
    The model must be downloadable and you must have proper access rights.

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - text_prompt: A short description of the desired model in **English**.
    - 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.

    Returns a message indicating success or failure.

Text Prompt

Bbox Condition

User Prompt

    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - 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.
    - 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.
    - 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.

    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.
    Returns a message indicating success or failure.

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

    Check if the Hyper3D Rodin generation task is completed.

    For Hyper3D Rodin mode MAIN_SITE:
        Parameters:
        - subscription_key: The subscription_key given in the generate model step.

        Returns a list of status. The task is done if all status are "Done".
        If "Failed" showed up, the generating process failed.
        This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").

    For Hyper3D Rodin mode FAL_AI:
        Parameters:
        - request_id: The request_id given in the generate model step.

        Returns the generation task status. The task is done if status is "COMPLETED".
        The task is in progress if status is "IN_PROGRESS".
        If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
        This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).

Subscription Key

Request Id

poll_rodin_job_statusArguments

    Import the asset generated by Hyper3D Rodin after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.
    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.

    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!
    Return if the asset has been imported successfully.

Name

Task Uuid

Request Id

import_generated_assetArguments

    Check if Hunyuan3D integration is enabled in Blender.
    Returns a message indicating whether Hunyuan3D features are available.

User Prompt

    Generate 3D asset using Hunyuan3D by providing either text description, image reference,
    or both for the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.

    Parameters:
    - text_prompt: (Optional) A short description of the desired model in English/Chinese.
    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.

    Returns:
    - When successful, returns a JSON with job_id (format: "job_xxx") indicating the task is in progress
    - When the job completes, the status will change to "DONE" indicating the model has been imported
    - Returns error message if the operation fails

Text Prompt

Input Image Url

User Prompt

    Check if the Hunyuan3D generation task is completed.

    For Hunyuan3D:
        Parameters:
        - job_id: The job_id given in the generate model step.

        Returns the generation task status. The task is done if status is "DONE".
        The task is in progress if status is "RUN".
        If status is "DONE", returns ResultFile3Ds, which is the generated ZIP model path
        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.
        This is a polling API, so only proceed if the status are finally determined ("DONE" or some failed state).

Job Id

poll_hunyuan_job_statusArguments

    Import the asset generated by Hunyuan3D after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - zip_file_url: The zip_file_url given in the generate model step.

    Return if the asset has been imported successfully.

Name

Zip File Url

import_generated_asset_hunyuanArguments

[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your 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.

Complete 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.

## Harness Instructions

You 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.

[User]
## Task

Complete the following Blender task:

<task>

A red sphere of 1 meter diameter resting on a white ground plane — touching it
exactly, neither floating nor sunk. Smooth shading, a plain red material on the
ball, plain white on the floor.

The floor is the sphere, the color, and the contact. The ceiling is presentation:
a soft believable shadow under the ball, a hint of glossiness that catches the
light, and clean framing.

</task>

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

User Prompt

get_scene_infoArguments

Object Name

User Prompt

get_object_infoArguments

Max Size

User Prompt

get_viewport_screenshotArguments

Code

User Prompt

execute_blender_codeArguments

Asset Type

User Prompt

get_polyhaven_categoriesArguments

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

Object Name

Texture Id

User Prompt

set_textureArguments

User Prompt

get_polyhaven_statusArguments

User Prompt

User Prompt

get_sketchfab_statusArguments

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

Uid

User Prompt

get_sketchfab_model_previewArguments

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

Text Prompt

Bbox Condition

User Prompt

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

Subscription Key

Request Id

poll_rodin_job_statusArguments

Name

Task Uuid

Request Id

import_generated_assetArguments

User Prompt

Text Prompt

Input Image Url

User Prompt

Job Id

poll_hunyuan_job_statusArguments

Name

Zip File Url

import_generated_asset_hunyuanArguments

payment=(self "https://checkout.stripe.com" "https://connect-js.stripe.com" "https://js.stripe.com" "https://*.js.stripe.com" "https://hooks.stripe.com")

{"id":"gen-1784077191-kLPyKU3vvLTFafuWP9JE","object":"chat.completion","created":1784077191,"model":"openai/gpt-5.6-luna","provider":"OpenAI","system_fingerprint":null,"service_tier":"default","choices":[{"index":0,"logprobs":null,"finish_reason":"tool_calls","native_finish_reason":"completed","message":{"role":"assistant","content":null,"refusal":null,"reasoning":null,"tool_calls":[{"type":"function","index":0,"id":"call_IWVOp2n5xP2Et8VSZgFz649f","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Reset to a clean scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\nscene = bpy.context.scene\\nscene.unit_settings.system = 'METRIC'\\nscene.unit_settings.length_unit = 'METERS'\\n\\n# World: restrained neutral ambient, with the floor filling the camera view\\nworld = scene.world or bpy.data.worlds.new('World')\\nscene.world = world\\nworld.use_nodes = True\\nbg = world.node_tree.nodes.get('Background')\\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\\nbg.inputs['Strength'].default_value = 0.22\\n\\n# Materials\\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\\nred_mat.use_nodes = True\\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\\nred_mat.roughness = 0.22\\nnodes = red_mat.node_tree.nodes\\nbsdf = nodes.get('Principled BSDF')\\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\\nbsdf.inputs['Roughness'].default_value = 0.22\\nbsdf.inputs['Metallic'].default_value = 0.0\\nif 'IOR' in bsdf.inputs:\\n    bsdf.inputs['IOR'].default_value = 1.45\\nif 'Specular IOR Level' in bsdf.inputs:\\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\\nif 'Coat Weight' in bsdf.inputs:\\n    bsdf.inputs['Coat Weight'].default_value = 0.08\\nif 'Coat Roughness' in bsdf.inputs:\\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\\n\\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\\nwhite_mat.use_nodes = True\\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\\nif 'Specular IOR Level' in white_bsdf.inputs:\\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\\n\\n# White ground plane, exactly at z=0\\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\\nfloor = bpy.context.object\\nfloor.name = 'Ground_Plane_White'\\nfloor.data.name = 'Ground_Plane_Mesh'\\nfloor.data.materials.append(white_mat)\\n\\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\\nball = bpy.context.object\\nball.name = 'Red_Sphere_1m_Diameter'\\nball.data.name = 'Red_Sphere_Mesh'\\nball.data.materials.append(red_mat)\\nfor poly in ball.data.polygons:\\n    poly.use_smooth = True\\n# Ensure transforms and dimensions remain explicit and exact\\nball.scale = (1.0, 1.0, 1.0)\\nbpy.context.view_layer.objects.active = ball\\nball.select_set(True)\\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\\n\\n# Helper for aiming lights and camera\\ndef aim_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\\n\\n# Large soft key light, high and camera-left/front\\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\\nkey = bpy.context.object\\nkey.name = 'Key_Softbox_Large'\\nkey.data.name = 'Key_Softbox_Data'\\nkey.data.energy = 480.0\\nkey.data.shape = 'DISK'\\nkey.data.size = 3.2\\nkey.data.color = (1.0, 0.93, 0.88)\\naim_at(key, (0.0, 0.0, 0.35))\\n\\n# Low-power fill prevents the unlit side from going dead while preserving modeling\\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\\nfill = bpy.context.object\\nfill.name = 'Fill_Softbox'\\nfill.data.name = 'Fill_Softbox_Data'\\nfill.data.energy = 105.0\\nfill.data.shape = 'DISK'\\nfill.data.size = 3.5\\nfill.data.color = (0.80, 0.88, 1.0)\\naim_at(fill, (0.0, 0.0, 0.42))\\n\\n# Gentle rear light for a clean edge highlight, kept subtle\\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\\nrim = bpy.context.object\\nrim.name = 'Rim_Softbox_Subtle'\\nrim.data.name = 'Rim_Softbox_Data'\\nrim.data.energy = 115.0\\nrim.data.shape = 'DISK'\\nrim.data.size = 2.5\\nrim.data.color = (0.92, 0.96, 1.0)\\naim_at(rim, (0.0, 0.0, 0.55))\\n\\n# Camera: slightly elevated, looking down enough that the plane fills the frame\\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\\ncam = bpy.context.object\\ncam.name = 'Presentation_Camera'\\ncam.data.name = 'Presentation_Camera_Data'\\ncam.data.lens = 70.0\\ncam.data.sensor_width = 36.0\\ncam.data.dof.use_dof = False\\naim_at(cam, (0.0, 0.0, 0.42))\\nscene.camera = cam\\n\\n# Render / color management\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\ntry:\\n    scene.view_settings.look = 'AgX - Medium High Contrast'\\nexcept Exception:\\n    pass\\nscene.view_settings.exposure = 0.0\\nscene.view_settings.gamma = 1.0\\n\\n# Make the scene open in camera view for an immediately clear presentation\\nfor ob in bpy.context.selected_objects:\\n    ob.select_set(False)\\ncam.select_set(True)\\nbpy.context.view_layer.objects.active = cam\\n\\n# Save the complete scene and render the presentation\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\\nprint('RENDER', scene.render.filepath)\\n\",\"user_prompt\":\"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.\"}"}}],"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqVtuMJGXjDE8bCfzsnhJyNIxCjpPK4uBYXIRBhI7azkHBbZhuhdivHR6rfNxmW8fxSH482Kx7httOYDsH-0xHYbARwLp0yYuTvBGEEY81C8HsNLrtiN9X8bS3fdQkhzF08IZg3vxDA0HTYfrZulk3o4C9F6DCOUTj4N5sv0MqywJpvGmVqHEDJHDrWiqdEAmXIwAQQEcF6pZchRroI5tYUwg-e8eeHQVycm4L1OqL_o4HAsry3y4p2A2kXXnmB8oct3KhbfqwoqwrWhdM3Uzl2k2K2wUK_Ld790XDZQOZV7UpKReMVLx0UfLiOG-8LnJjOK8updoULTIKxD3CaUfrPPlQYdGjNAICK2P7jDkTjq0k7KQBQYOyv5MH1erSIPbBpqe3utj7Fb-f6aScF21EoMx9tNqLzC4B2VbwVY-yY89addF_-m6BDxukTv6F8XsGpRsMiSWUyvV1jUI6DT1WofUq3fTram6hw7a6JQNd43-6KidQ3vnujpXrPJyLXlW64iz3XFxXELHMvDLc2j7QOGqC3GnPvv50TR5mH9BryT7aGLN-ld_AIAN9KyD48C3D_Eao5l_qdF7mbH8tHqxL3ucqLaBKMoVFvMVZPndFuFS4KhPIHAkYPbbmS9vDiJnwfkdAyiJQXCNHbehzetBf1EQ8FMOQHfM3Hx4kD-Oce_KkZxxX2Jz_R-JX9OEjtGACtKDDLVHdH_4PPSCZGNo62GycLdTHVP8EFBP9kcc2-czVjVkyOHt8vfd2ZvJ6MX5DQxm6SMOmtrbSoW93vnt-S-Rm6Zc-3OD9wRYEShm9ZSU9Gs-mlBBhDJeIPHeK5Jcbxg8iuYWtOoSMUpFdBI1PbYzZOkxvR9xaEipt_Au1gh-6AfVJ3U2_VnvfhN6DnKuMLR-EvwV2OKCN2kDPhAhdKgv1j5894pFXW2QDzaxBPRcPOKbQ7RuBCKh1HtUt_qWGMy-fGXmc1jMqUy-ahnhu9EAbsrpMuhTJ6nggpgOqGW2Hun7MycWYU8QcCxeZx42PA_kIMPil12eUO8_dyJclK-s-2jRbWc4y8kNMb3O0Gvmt10Rcsb7_IGFWIYvFbKHYDJRF_rzqLr1hfg6BynG1RFt92uPkG6xcL3P99-ODxfm5WypzK0hrsAK3n0v6j4rakac6jnUxtzDW2BytVYUO_cJAqeXpvfTmUqYzr7VBk-kl0yAMVaiukMDMqICSOYhJK02BoxIMX2fy4013KK1dtZ5_9MtZIChORD6SqModrgAiDPyQjE4-czFjByGd960YDi_mfJA1uP7LmjGEYgxHWfjVke81DVXL_hXm56cGRU28DYv4VceC_bYApr8J8e36gsB_xqtXlm-sz9x20Ghi7A83oChHOWrRtZDKpVk9c2X1kAQTMPHzZbL1TeQxJjspi_Srj-TFkS-7V1l_Rcx7etxQzcizTqEcDwys2ssr8eeUVoQfZtO08bNFCULwm9YHdE66uFNSVehMDUsFmTn-40SSb1NPX4Jjk2cSs9tRie51L7AvCjjRt65y2CRuSwARW0y1G7F4gvM58VUYZPZdNSwk_WxS7bm2wDtFteVpqV8E52cQbSUCY_q9TE_ZuBXRokarOLXgMnm6fYmwYbZmLZSrvb9lToL_8W3TyLb87PqZWuer-PBrrmQrwxpd_5f_i_6DgU-RhZIq6TY7GH_aM6OinqLY2WSiIKyDp_RNsDZKGtijDbI_xu6pWRO4HDL-iEspGwk0Q2DdcRLYKbNMtEzv8oNSqz2LrWtP5IGJmvvrdK1OthbGD5GEgvQ2BhRMMLbhs6JUvuzg7ad6n6OIrTwT1EuY6nquPKinu7zzkET6y6WWm3ZYoCU_J5lZv4HJIC9D2aW6KQ2cyv67s38IajchVxXPc_9pAlCWK33TTAfN9excVSazCSiX8YLTM_r2_FEomXqorv3eoGS46gSNVOylv7fPGGvAB_hBzXz1ZdUhgDZ_d_rDRKUpzaJtiTOgS2gGNOn1_0OZIRnY-uw_4K9UcNClKXyDCIoSvAniwOUD0fycMX0pU17-oRYKspfgQd6g5df8Cjl4oT41naetB5a9VuLxN1rjzHKVlcWG0zl2NVMrLvce3otS4dtVDhlQWzl4J7bHTjQSHhn2CmyIyea7FiGj_hGCAuxZPFeLNaBDZKO-vPUu2oR0S0X1K4E9YjqqKhQ72vrl1grl5rLOiju_vRwCc6MeoeXLwhDAyTsWDfbFfH8pz74WBtwZANkQyrsYaq9ncE7McSSbwA38O2MkEoRXyuNG4n_nXBvUJZCDS1OHleOE0D4gX6AuNALnow4KzV6vhNpJP9H9TNjwntmWXeh4IMvEVYKXEaHk5oUP2-gKCAgB8ajeMHZQ37tzQxCfKZUj4elZ56FS773hoiorQsPl6EdahR10taWRgqo-ZDZ8hVLLspA7exQhhT8XpXnybkfD37577Yo3_wnw7rG9fVbozS3MJ3ei0RlE_7tSWoIAJCftmm6T7kQtZUAYDCV6EbjxBpQ9NjDz8QQzoygEaGhWUW_NxKOEoV0JrWZ66ihpd8bihazvnxVmSVoaxa66AkmSCVg_yfoP-pRVYU3u0AP-uGRDK7YsvV_08OVveeN1o5LzQZ3kuP-YbESh4aRjTeGgqrsX0B9CmVK33UvWDS0CzTqEDoshlDT6nwgsYQORI_r1aGAINIVcT3rCaa0slIx1eW8VnElyrMUeeyAjdUdbswGo-LJtYw0pch0sPO2DGGUYkti5hzWRoKqDglgEkBhLjN7cgSS8Pm6J7J7F4pQFJJ1uMLSL6ONYEkGL3yAKp15yKBXaHuhjdZzwAFfx3hRGZXW9Lvh2vnwnLMgztPKErfTfNecc2tUupV4JPVAQsSuHecvypljLVbwP46nj4SgO8LiEZqTGKFWy_bcPifwoCXINdXVgmf4FwcI1P5kVYNs3rksxXzxYAbf3mhoN3dRNB6_PhlX-LKI-lwOyYXtZr1mqRDhJ4CjGQwMwbLKNXPHxIFpLPBrDq-dlzFza36CF3d7zpZOIfzXw8VfEUje_ZYXh359qLddWtBEj5Wju5G8u7exXEjUWGBf4hzuMNAWPe7GviQXM_vkjzqJUYc2hCIqbuRR10_zgbeJOaamQYcCII1FNfQoVRHSm25qnOzFWofxRFbY4cLmLmvfSTSANR1f90cjCzdc7mfGomG39r5WmPgEQNP5tUP13lbo3982EmHjT6G9r9OK0SS4XdpqDiTo6hITvK0u8C84lpHgv7KZ1Y3M0XOfXkUeWPhiWj7TyiF5ssJoThuU3bFoenxl3R-Qk69aLV_Vskk1FfOzkHY0jYm1hBvNQ6N9aipArz8EJNLMr1vXel8VQ19pkVfWBw0luNoOwz8wOGvJVUvZheNmajLmbVevUhYZMPKVGKZCzRG1hJ3Gp9yH74D-T6gGI9ETL1cRjE9Emx3fil1ZEuoCVyUankRqc4zpv51ktiHYNeY8ZyKVdUFujxa7ao0K2f9-ceXLPWEFeoAzMR14kYI6CY0KH3jyk3PLG0Up-r-MmVrpohRaggWk9rwEciMaSlpVS85TtcioZo_34sKk=","format":"openai-responses-v1","id":"rs_0f85c1ccf6948724016a56db88a05c819095594a40d309df8f","index":0},{"type":"reasoning.summary","summary":"**Optimizing rendering setup**\n\nI'm planning to set a large area size of 3 at coordinates (-3,-4,5) with an energy of 500. I might fill the area on the right with parameters (4,-1,2.5), set at an energy of 100 and size 4. I’m considering adding a rim effect, possibly at the top of a smaller area. In Blender 4 EEVEE, I want to explore shadows and perhaps use ray tracing for better quality, leaning towards Cycles for its efficiency.","format":"openai-responses-v1","index":1},{"type":"reasoning.encrypted","data":"gAAAAABqVtuQpkIbDcLfZ4qFSF7JqHGEWWyF0UG30KJeVw90LAQW_ZxacgnacyQvf-GBGTgSZMIwgQZ8KqqEWPtI8yFKZEW8-FMYb80uFMw2n9F5cp_emfNqhHNYPpLomwhgCe7MHUwzHBnD6mc9YMfKYuTcZlmEQFISNljPpi1NBtLFEGK9x75FD_kHHbuZzM2fF0fBTdpYJlvgP4MmdG8SrlxQnEMn4DmSC38klfe9X4C-gOEyUgbo4uGwH5HoNH-PdR5oY0AiDuWvksVR7YARrCIWkQfy-JGJZGWxuf7-KXwog5AR91EffDjYhiOytV6RK4S15RGG-1ITkmJOS6IoHyrDk7QeBerlXaYl95ZkXr5jJl46FPc5Igjlm5MfOkH8hsGQbIRY9L7sw5gVZZ0IvJlZADj7pJirFrypJYpvhLW7NFB15aJh6WCMZT6a3Z5sy649NQuoZ0QRGO40S9ZTv5rnOJyL3WNo8aqno4wNL51yCD6PWbxbouAh-7lcWgOMsEAQO6xPDvEY4K9HzcNWVvaUCVi2WVMRrrIqfhsGtA_yXQlxA0Ed8_JawIBqR2HsOe9XEDxip2Ep5DTy4JlfbDhsBAYohxrLzRTP-kGmXKFXmoJpXIl8fJ0kt7p64aAciNs3j3HwE7acSirToAOXXzX_9xOzI_HIgLLB2wr9Scr-J2ALu4T2EqBUaQwWR3KBUbzF5wpyl5IWmUbvps6uNOylpWseaMD_cN6fRnhcj99NYe18_L3kvjDZJs9mlCCg-ZVE6rgJpt_cvRieXt4MJoUii9Hg1DKGp2whlbGzE5lLA00jiGYW0CWWg7hTX2FLz802XnesInyOUvKZ2wVY4eQIt2fFP7r9MRU6sRE6Aqd6Zfs0YUxEc7qN5ZZfZf02FPS3iArKvTYYCwpQ4P_ShQXgkLtY_VD_taq7axUoibIcecPmyAUNir5yNVMiFQZGJNmwHLY4MD4-4KT8578lw85DXQLgTWZjm2vhMRiHE9nytex885LQ3HlS8W72RnLOpaihe1mqwsuGAyQcVO4I2cgjmqtnJ4RuNoF6xFx3Cdon6Nrw28Pul1aLZgNeLYsEtxTjA4vBDBNLfiwJ3omLjK7l8uDRC0kBAGKmiCTQJxsD1_wKszqY_l0jLggCiXLvPheAv6Vq-ToaT1I-42yy9fL826RUa_ta8gJnB1yyMY4PFNTo-0ykDslsqUzexQDT15b1HEWqzesKg2LqVWn1cYn_4fdgiiH9CLD3RT8vgLMz5uqVGJOqzIlFfNEN_VOJNkrpAx9RFs4wfxKLAjKlAvSxCb1GKAgn3MzZCwVrltv-0ydBObjqfDJzskEHdDbtjkQ_sj6xGuPAUhNUnvNcwDenwyWiBCWISt82J4P5ORKFq5lGar7skWBqiRIofYGLvaR4E9SctvB9yTFzad7gjy4wPYYTxeQ1rN3kfn9F1af55yexf5QGOUxxpI3UyfnzZk7LiedNbRCVZ-3y_KEMkoJibz1d3U53_KHHTUKqJiQexxi9Sbw-e8BS9HjCAWBgCh-thaA1TgV4x12RW0KQhCaQtCwQthrfOchPhQvidKErfsGt-96ZbcOKfSsP32IC_Vmz69_JQN60LKnr2USNWj0krX5xpepgcb-iiUGxgMQKMTyyJRBzJjtGe7HhVbB8qw_QBupjn7mmd9hhjq7wi6GaYvNMoWXsTEWriC9jH4mTx3L534UwWkIYm5nERoFLGWxpkMk__qdVGnGqz70GO7FtD_afIXTd4TcveDK_A1v2bKuguO-azqzClwxxqLRo00WHGgXS9-K2dY-NBKjby4ECr_mMZbPv3K1TQLnYOrJGnNiYH90INxJNb3QUwU5xuGdTcQ4DYyXu4EnBMntE2fALNYUh0EhqtPCI-axw6QKK4jNnlCZLkbWR-THGeai-XAliVd_dsGgh-SZOPL3MtLX9K7yaMtY1bxmtkmYvtOXyLBEYDVQOy0CTCib47J-EByApmjoEHJ-sS96RTN_7z1lWFzHL5BFLXazYcl8owQTw43K6UM_ARgBZl3UCs5eNhIM3ABuP7RzG0HsU3sNQnx6A7s2pMY-Zl1v3kxorzy7NBgr5iUTZYifE_qZkUmO8gVSf06HB1KDunZLQmA9g4WV8Kw8n5G3Z1tIx1sYi7MiouKsb4EwxLRRzA93J-lj1Gcs5Y5EWVOSzgBLKEFM7-AsTaiSeeiUhRwgbgHA-5msC8boePasLpUMRW90DDZbigEfYxd7CPHysUMKx-Xb0vRAdhrd5Hcu_PMiVJ_885PckKBLZ0TiSagUVUe3T0kAYz8LZtarul1gYqhCdWtkS8-VwlpUB8mDX3K_IPhu4rUhUWllD9fN_fL41_s0ck-r_AZevevDKTnL11OEjB8cA_7ht6rUOIFCmWlfp3_QEnUZdk-0kmk4FdW24pcIO1PePU5cpyUoK6iU5ibsQ8klQehAPTuLmx7LKcPxb-xT2P9R71EKQDBc8niVUQpEDMySHbykMsaozB7rBNlg2MQSk3vmskBIxsi2RRl_P9PIo5m1NfFMP4Z8PeweUfZvlaQFMrw7AB8-oZN9G8l3BjxzXjfkmb0CzaSqO-2ihLAt2mlCkoqV1JHYMnRhkqHwu3WnS_3hYRxihkutmHPgRCJO-V--0rXX0LcvFBmyy5zIHyHrcM-XBc7vnWq2a6qvchrsIcV5VBv0gUHEZEuc2ecdH2nWXkFTBoM4u31-9ZMw7CshBoczZE-PeNCpfsd6zuI26yTBgGSWpyhCdXh1RtqSlTrjsONjlA4A9dXoI7t3BoPFGqOZCrLRd8ayfUDbFRtbm6-fjhA6NDS-ba76BJaFmmdtMYl4FxHXBADuV7Ar04ueWOLRXmEa6a89YfZUt9Yd2gZLDmPh7i7GyWNAizAxLMg3tiNuAdQambWCiEBD-y6kJm4g9j3h372aqHGpeeIHXSA-mJM689gMcKnsjH6OOx989q9qEvhFX_nAdMHq41zt65NZbs5OEwmwA-cMlbTji7SMdcvIYSsQHX_W9OOEZIC-rw-riMA==gAAAAABqVtuSnrjrSdi8rIsTUUR7Eo0B7s0y6SK2PhtreENe8VuGJ3_ZV_8o2gxjF9ZYS7Eh5AccQ9gNAhv_x7wvnkEFzygQTsY-CDkxQMf0zLSWT0WRv9ecRbYOme8Zfmcmz0-5XMTkXsoYXM_YvVoJywKaaZXKaO__r4CGvWrqtP-Gn_AeuFJTGYK_qRWiv-e51G6drVM6JYVefSSELBPvgXZax2xQsGdBSfzSk_kkFKqI-M_niD4TDrFAdpdA5iK4i8VZ-u6sA4UocKJv1rHnVSgcQNDfSwdpqySeTiTTw9L98RicWBPSmTlfdPqk3DQztmLpIbHLudC-1Oo6ZYQYMYnEyQcRWQ_J4799d8ZXHdRyaVH3EU6V0pX8cXtq60z4Y_RW5wsMsPVdf1rZzkdfbGp7fRZ3AP4CtY_KMtLMVG-4pCc1goudFMIxUBk4XONgSYzhsn0QGElqxTDw_Qvci3nqbXMYED4n-8lloHyl7NJaTH6dv5nfghgMs95z4Df_MlmSvsEWsI_nnq9yEu-_Lr2ZszsWY_f-VPFmQSfu_wMUmVy_OMv0Se4apa2DMaEUQL0_5OtKZTpxEoydGyD2uPwdzbgH6IDA9AJMgeBVdPWj69lnIh5ll3lm0wU5o4iWkuzWzCT7wXhrPHECfno5HpjHmetXAgp30ANu4yyShk24PrfB4Hb7hOmZUhPhlYBs4MNvSpouELNGPzMb32OlaXBvs67xXLFhTNrlBIIYeWaGMvpDpkbPgM2Q_Prjhlx6rNHlvdlfn2QPOO8ZyiISR7ljYKme0LVKZ9BijwGx9J4jo-cTKuRVXUsAcFkGtSPV1UfK6apYQIQW_7Lgf8pI501_SXRbFLWwP3aj3Br7LSuK3ZNVNey_SUvwnUOuxgsL-Yu-7EVZ6kiOKOIBsheavnq5qTibV0rC--pVwt9cj_hy47uuWFz6PXsI0A3sC5NKu-0xNLmLq8nxjHhqgcGPa8VP45-vXAf9qY2Ib_maIne3LMaA2uV-N1aEGHtYRYvNmY-ho8k2hPRZqxHRlZ6101oYWInO8nHZO_fOo91X8_MLtMOJqZbPblq8MCOPyeJYGdYp2vTjOls4_ym2sanBN_AZSXQwVYZCYR4fyiDkfn36nfCHkkI2vlY_MNzcvv8HtWMxaPw9GwVRuH4kvv061tOWWtiSyOsX6bynwDnoFlnHhSuLjNSX6HT5JRi7wbuNeuttrOuriteqU3S0eW6_hiOtJrxe8cqfucQDx-PAFDg-sojTWCypeFAFNBXAH7Pq6X0GY0lib5drThWjV8R_bqIYW-lZZ9VOfTWvNiVZ74REElUlQ4LRMqjveXYrqC_hlS4Xt6zPSaryqPta8XrSPGl7n2NL0_xO_bgegyO7t8FRDjsPbtqiDqoL1viQMC7G8rtzMyvZlGMhoSUa-19n_p8ANW1qPpuCU2gH-bY8UmDnY-clcefUnBYBUninidlX1TSQPt8b6ca4Qj6Tm1EohEgVn_dAAckcF6qzWs_EXnJkw1ErVEg9eix-nghS9Tj8aWNkTsHTULUJnHRhZbxdgkaeinmTgJiRap60vlyGO6j5HuqxU7tjg_CEkhATtLvcq6QBnEyZj8JIxw901y0wjgoYyhqcz0uqprTPd098uoviFEePHVWsisb_-WiQYN1K8XdxJOi8IWtgW08URUKCJhDrWEJbkFjPtjQnoS6XAsD0lzzbI_GqA_YOK02z8rKGplOSF_0_fr25DgQ3M1hITnB79HgZtx6cHn7xFZk7O_uiT5fOwfqe5dP2SXV1UrneMEpLbnm6VIqh0Shy-gFibSBTh5RGL9MmsFno0ncyncVawZ39-02RJsJv-qh_EhGo3r5Gplf3D9LEnULOsrbLGQve5f5QDeK0pWh9rrLFcq5s6yTqpUfFtxldRjJTHQJruWS1kgoC-tO6-p_C3auZXHLp0bP7kv75YD01q_zs6lWUeA6Egm9Z7EFrMlRnnLwGWqQe9aOvsNc1KqFdGYXjqBMQRFjGv_ggGbRk810GvD1S5crJh9XHzFHUfl8t0W0YpisUL8M9O094jyhhXptj6BNhN_hp5W35IOs-Qu9JK9NAOePOI1qppIwixQWAiC2YVfgwwRu1YGE-gZKwzCKzBNtKJv5z0y0eszxAGTs9NLpAs0J_4AsKK_4CnlR0OZSAevMRPesEcQUWDz7u9b9BeuU5AE3qV_WCQhUy2jOSYszzwOm6mv-afaE7Z-5Q90PA8H0A4a7OiGKF0gE0zKi__1bgh1hFbyN7MmaVKKRbnUJUBARYP3J0NWbWRqE_uwJUbVhtzxwxa4dwRjT5ZD8WRL5GIoQK8uVitzds6UBVCthRoxFtfY5FjDbnnZBemeY4lXNh7UAJHI5fM1d_BtN6DjNOE8AWORBE9cVynR8nIHjUAodz6tor2QjJLZJLTGdnI9CKJPcGrdazl4SIT44vjS7_aWPy_863WTTOoWh1jXXFIGSjd7pddnniaaOKZd0L9AVXHcLJZ099stZPdRfZAGTLgqprB4n_KlREdJWeNNSVdn7tRA67CsUiLp8wCebztj5GLQFoDg2GgEtPhwjUgyQRxk89IVsmJcTw6LymZQvVEKidxowrdjnDLjYJE2ithmovt61xCgqH85hbeim0Ts0q6_AhY8Ezl6BG38RWu3Hv91yn7npFY1RmzV8Da2s6gEGWWKJnWS-P8U9YLhcRIb2vAXfPS7kb5HExq1BUcgUGp_ifR2g9th-Jup_-PpvHo7xC5x_z5MZSHBd4pwHL5wwKRnDzjB7SEhgWrILr93aUncdks7CAPxWMmsPLAU_YHVAxG1TZwX4jL2fbjdHJVnYh1TsmswM_II4VQbpZ3KBixWKZ2Frt3e6ylU4CLf2u08qulXt9tf2S-KDtI-fNUfvEhSlhT_ZbkB8CyqfbnILTe-XewGHKLvlTTamq_4d1rreWN7Z39f0uvoGZqpsnbCIzwz0FoUB5rpcf78FWClHF9RCEkATxy_f3VVbb-VbvVKGFhBDuZEB5xVig7oROQRKMoVnTSNwOsWEhKQQU8gH8mfaYvHMl42cef4GAwBn5ZwxSWGSMDbCGQEFZfGUdB-Gw2rs24amzurlAPQxezScQ7jCprxhV7cWdMu42l9dpdeV6cGxNMutiRxjFdBwT2zqTKMCoWbquGwYte0OpAOelByGDskTBhf4bRdoMBr1M3AQTNcjeLvXB_MY98BhrdKrzmlujQGE-eTvMk8qhH9SEQVL1_-Owj56o_UM8xDg7h0fCH3KrnHiZQjQZkYax_ONH6795g9IsjyHVM4sncsuRyCGFRDSPRNspgMns8NYOTix52NRm5Gcxtm9CnL3zG-iUbMh-U0dvJKHaJ_Blp6ea9exig77Jwddw9w3udLw97BjmzY1HXLL6UQPrHct2RqzCAfODQ1pRvbbR5cTrM6nK4xNSXB_di_MlRwdTGXza1G6Jcz4k3ZEe7MfqypdAuaCGyBRKAK3dzFncPKrn5U5JOt3_OB0sNcUGbP3oX4mw4CRiKlGv2SiRbe_5KsG0g6p4EXQrsw==","format":"openai-responses-v1","id":"rs_0f85c1ccf6948724016a56db8c1de08190a73702d2d141662e","index":2},{"type":"reasoning.summary","summary":"**Ensuring camera visibility**\n\nI'm thinking about a plain white plane and how to set the background color. It could be a dark gray to help with shadow ambient, but I need to ensure the plane fills the frame properly. I should use a size of 200 for the plane and tilt the camera downward to make sure all rays are aimed down. If the camera can see the world, it should contrast well with the white plane, avoiding an undesired appearance.**Configuring camera settings**\n\nI'm working on camera settings: it should be positioned at z=2.6 with a target of z=0.35. I'm considering a lens with a vertical field of view of about 22° for a resolution of 800x800. With the camera tilted downward, I'm calculating angles and distances to ensure the rays intersect with the plane properly. The plane should remain visible against a white backdrop, and I'm aiming for a sphere's apparent diameter to fit around 27%, but I might want it to be around 35%. A lens of 70 could help achieve that.","format":"openai-responses-v1","index":3},{"type":"reasoning.encrypted","data":"gAAAAABqVtuWNRt-58dw9ZqwDvikaDJMWtBmiWocuYZn_ChdUP3LuEgOcPrSF6-i_E8U7gqD44f92GylBg23xKlpY3JNWLJictVLNBoKSKPdT5hNmqzXEZ9-L7lNAh5MC00qVGHMZTZFw31vV0lix_IIjbtrXrnJijJ4DROh-pFgDjE2Py67CevU39CG54E9xliEpPhEwcL8sMV_-bkVShThDouKmWqU0RoA0O7zO-GAAL7dBz-qArRN5Clbom_ihrpZt0zwbMcNYuiQL9kUDY0QW2qXCiVhDBhubIcqXpRNifhmmJYZZ5lnGGftTQhopNpuMPs9_nJNnolgtGnTv8QN6FJuP0mvbTAsj1i0IvOnrlgBXZUyxLC5zWiPoXDiPAilVxrDJm20AB03bYOnAjNcjQXbjz3c0e1shVd_zfSGWsyYucVMzCfrdgNk6GySjUOjrT6e1hunGXfOgcG-ClhhXcEDAGQwmzdG-01VUlQ_YR_bbC65RKPMm3tfLtjwQxv5aM0SH1oAnos8hKZGWv_GljHD9MGsgABdpcF7rXiLEBja0uLwnZRuH2_76Bwg1C931kF3K6ZpYkIzH7WBFPcbmwyrjmGF4nn8mTly-CoeXSHOdzP5mn4IbfGEwbdArBAv0tglJ52ZXSEapRqkg1U20D0gNw5q_h2BSSEym6LupnIF_IMsHomrhVavUwyWZqGZnUW1oQQhRKZtZWagZDB0Masr51LojTpDSabtIPGCoYXehD965lUttJnT1lU59lOppIgofVqL9B9RHEFUyBnr77KS5B7hoeBuXhxfpXaubg6weHw98YyBdEUMBczoiTGsZ65VuAKIT9keOcqWbhfPdo7zTmgGp0YpKkYHLtjnWSELfz0G-C7rctyuP7SLJziSQcSCMn7nyvTslGnp9QP6ucTkLWcROc36fV5-g8EMBFVnnD0mDa732wVxKC5D0uOhdv-4WCO-6JO7iLTTCFTIaTr04OsnV-HpWA1osSPYJYpVICtGQzQy0erOSDAfmky6qsLInexgV62a_x-dneXXXUAUsm-istH39nbdraG9dqllWm2mJLEnP8X9d2mCAc3PTTKPOBeEOnx6B97fjTR7SjeNToS7BtSFP-bjXBtAQB6jTrGzNzS47H8S2dNujTjlWw9TMOL-j_wY0kz0DttDW-c5E-JlqvV2setm-jOSV57MWBqENQmsJocpTbPIX6fByZK7v1rRqG9f6m6y5Z0g8pcah-ppdFOP5SQb1DYb15WqeLEcT-LbpAnixJYKudAtAi7eV6AHLliwbD7FzEAnxLGvdjyiKLUv7IoU9IoYEQu5Y8WoGV5uIKMDbb0sy1fSJTJZyia9rg7RT_rBSLl4hB-IH05Rx5j5gCKV6hpio7uuylDO3DZapSmbof3CiK_v3-s8g4awKVHjCEEE3H4WjEP2HQsrTuGvHNj5wmPxxNgC3Cng2dr0VO8azU9FUW2wg-wALQSwbgZHTIw8sv1oB5is1Rs_W6IOUPIx3ZnUy2N3VpOK_cvac6OywprBGul7z9Gttwzm0sIb6PUDrf6LYUB6Ziz-vzRDMgV4i_uLE2aWJCAlQ9s4GfrepAHDZDAQ2pgkWj7kvTmGPgvcoTuwZhBOBozk48OrCncxtgXn9nK4zc5MWo3qHE2OHMMdNoC-HivoEmlj09r5FpnrWeq55Tg75GHajIdF-s5ieB54sbK3TqGpLB0CsdT7VMqwz1WvGy3z55az_ce0_fOlbxzghlQvUsOrmkCSvQUsQmNWZPsqSbkIPEx6i7tjJ7q0gTgS77eCPj2VAaC6wtm6lghMRQFY_sj59_lk6qy8DqZOBSo-sr-pzhjZ5jeU-PF_TWMXSkknOmjA6lPdkVpB6hXBpyRZ8_J54MOfQ-Op_drkxrkU4BcgwfryKpZ2OolvIUxYm3BA1wJOvjyIOdOVvg01yFwj8HO2whWLyU8bzGFMV3Ric7dRhpRyWcacxpFh-VIXy6l5KF_HWs5C-KwhsucQBULMXbp91y0h4J_AWdMQIghy9ZSNM3TEpP5tlnXAsaK4QkXczVAQpfa7r-tsetWFIJTH4y-lk1woKTEkKJ3Ru7RmcnXMnpHR5ysCqt8MzVLNGNE5omcP1bInCWrQSAeQZrke0oPlR3YiiidrxSQ1DtaXV3xh6rtxaIwFqR7A4geBPYYXdprTLQ7afLjVVZoQiRgq897BdZ9UKemvOrTeCmmN6iJpQRkuQU7HanEY7LD7Pjhq-xcrHs5RcwxBVRJynkNFOTg3k2VU690ERz7OQhzYLGdz_DLW6qsiwt8Ofk_w03mIlw8uQCBfanPj6uzdHF_KpfhlHU4pn8_Kqtu82OGT_kHMTSdTuMNEpskgXNVl54qtkzyEr7hAeDCQ80eK6v5US0bTENiUyoiUqbpxIyL4S2Yq4UQN0Q_WwV9J0hgmx8H6rjGmHOkHWD8n65KObKjDV5Gsm5VWRQoApf0KMrtvYz_UVnIo7Lc7jsiHKVhkNnbTldel6XHJr-QHjWgLVg1BdRQU49CyrDfRjAvSUJtfRED60NpyZgNVvS2kXNjrINqwVWPARsMoI70UJ14dolOH6hNH6LBuGcN-UTGaKlDUf0LmmyZW-BPeySj-v8F6XrAhsjKXgf_ne2KUs20ue3RqcoOL_0ySvsllgsXYU3ycUYEJ8N_Ub3ui5pCbWwrK4M00jix7fIOOmp4xT4gJVg_W5izFnguCXlJfZIsmbmTsVSV-oWyC0tlVb_uxpegEvtQiY86SRjSJztI62kWsbFphVGQpguSJRcaPSvcRp9KTg-iSS-moeh73QZFBio60PaK7_ucaq04NyUUPtNafxSOy8uNZVJaQMNuhkyms4iMrViRbYVBwxj8KLI6_nZBCCpUJxqH1wotcVEe_zSqVvYTkixJyQXLz7rvXxHKMeyXOwuyvQcYmgc4u82dySgDYqirju0WPGbTkkMIgHdIF-RrJKrKOZ4_OALPzKajfkblx2YkzPgIlM0xSNIkXA22EDO2lR20_HmhyzuQrhFIub7InCgGR7gz-RxQ1rv0eEd2DxsFrNcsCMPt9cihauBZc6VP88Rb5H1kEZqyluCwGBHStdThEQU7pZyoVBw7-JYHD3gph94dCfAupxxifhwUFVCkJR1XtZSEbmFIdftAEaqkLsoN0gsebWLOrIFnFuiE9j2PkCPojD-_u8vO-SQhmNRvruLQbPoSOx0OQYMzT2LWbs0b20xOxbOwD7ugLh465-FlE1joe7n3ErmVvLORalKfUJ3taJlxJd0DrdSplsKXT-iJajA==","format":"openai-responses-v1","id":"rs_0f85c1ccf6948724016a56db92b5c08190816ca33ed6851da3","index":4},{"type":"reasoning.summary","summary":"**Evaluating camera settings**\n\nI think I need to set the camera's depth of field off to keep the floor looking crisp. I’m considering naming the collection \"Presentation.\" I also wonder if I should keep the floor plane at 20 meters instead of 200 to avoid horizon issues. The figures suggest that 20 is enough, especially with ray intersections at certain angles. I’m also pondering shadow softness and whether to use Eevee or Cycles for better results.","format":"openai-responses-v1","index":5},{"type":"reasoning.encrypted","data":"gAAAAABqVtuazjgP7sHccGP_MI4co68MpPGQm1lUNzzZbCsokoTdR0p9MPtJvx9SzYhJMN39QWm9Y8jcFwAXMKIzOPPdAdIVEcbtmGSluz-GUzSlJIL2LXDvtn-F-yfh3JO4wgVveWOaVPLGw7ZXXhrrHzPC-qkCly43aT32ktEKBRCUokGQfzOb3XKShMzrJ8BkOMKT05PhgozDp3vDLa1eR69DoDVicFYnYzZ3ctXxMavP6nWk9rjCSwwCQVEQ39VlKsxXbqqj-ZXDMsMGUPtaMLckFvprpF4lzBVbx0K856qo8ynIx-3wpoFe3OlcZuDQxo9GUArxyxl1xmHIWiQKQ9vP3JpHaR18JzkNVxR-zAD8tDCdHDk-8IPuYxXCvRc5kbyVP3nKxm9VHcTNW3-c1CleUSaCDFWDucrm--wKi-bGgeylikxLzYyfitrqjRMzdBCJXQhqSrXN-Zi1b2EjSyvRC8F8CuAsCovit7U0fb52TXtTtdtFHHCAO7TpNUv_aMHdm2EDLAFehNSMrsGHFaGC4QZtlJSY4UieEm4Zxyz-SyAkehQxUvDmC9jMDdKduGieoJNKLuNJ95wX4Wb_hL0JNhFJGTCYnJrUWgJUUN4E1O56G-1wmaKMGTHzLuW2wlfDrIUu29WxL8uj_uvVzTExSoeEzdk9EyPQj_jwpMtTfRioOcxeyZYKDhvfDJ50thA9PaIIfhKOsqIx-J1syzxkl9pNSRJfpYxe0GJugmhp-oVmYtP71L4_BIAtlYA6Ijwv04Gq5v-k1RO4tDk5sGH_GXhOlaTPwG3V1eHjxpG9lrN-eMuFi7Q4w8FI1OjnuyoiAsfmh1bKMjZWLJySPydYBV1ukcQnqyY1PrtehgAYrliCY0u-Gp2MKI93Wq0lGxELG5pD9Xvdy2e0E75wFA2K8SImJnT89JwTSkYfMBnS5Z5yTafmJkGeJr5U6Hf7mqk9qnS-uJxqgtrcLayMJuF8Lj_7YGhbdNGxOkO9Vo7-GbKzR2qN-k4VkhwqUTePG79JcWxX8h83SZcTZrhEeyYac15I77FYPPoyU1e8KPFkGkFWSEpAjFz4aNIT42fzvIhskUzWnzu0L6LXGbQa8zIYP4hJWjEiidMjK7Kt9NhoE9xykugVe_7EAA3owpzCH2SCMyd_GSRKpY90fRhkPI5EwEQP4zOy9v_lKnLHPZqWqwDfuWos4AP7pI74tdbuHgtKs0VL0vNDPG-_tpkVCWW9-y0jwnpqe8V4SIB5aehUjdjr31e_-CpR18DYegcnsLsGncVlthKc9AnEa6y0hAR9V6jRuFgfD0HMTWq60ALvfx5hwPvgm_ad1iMe_gav_MpcixOTnr-kEoh_mFM7sHQoGtmLUmEvzQrivuDs-P98tSnyGYdSYUo49uy0LZlelTi3CiB0laAm21Hc6GZE3TS1LOeqjZYqp2L81FAkCWWfd7p8n88tJ8OIRD14hMwB_OokGKb5gXa9LRkxZtMkJaxIomoXo2aGaNHGr5IaOLAEaiUB45Wg1m1YEUGk0maO3yJ3ymqAqiyK3UxPm6idmvv71Y5ofv_L8jvW4ZIUyzXXJepgUyGx2eklQTiLMV0Z5dql5mI-fDApYuyElARMff3xmJCL20EgBLz_obT9P2gXP_z2eucXXFtJIR9l1hLn0-oh45iPSN43QVvZwpkVJfteo3TbHvmBk6eqIkhXWeyPAdLDUcGo5bY0t2dd9x2SCUSoc_amuzTrMGIaVPyo6JCvYzlxQ_8RurCf_LzvxAQt8tMev2Zvi_K166TRoX3qET70fBTyRxpxsk5-5MN0eFpz26amOOsbh2niL-bVI6pDqC7GZujv5UFjR37JMNxea6_dKcu0MLuSc8fktGeb0GuuKa-7K26Gis2gw8Ea7KR6LOEE2FtOpk1p_g9VXFj6VnTA4b0UxTzNMkGBTj7Lsu9VIk8plMbi1KvpqWkxJ2c9AbXPlsc5HTAF8imeLhhQEVIKQmo1-VPL2oW_0KnA7lv_1MMjPPNoTCYo4HwAeZKEz-iLyot2Mm61yeckHEWYPuWZf9Ima9TNQg2zHIDMvsDvl3bhQw4XCj0GVMpXfS0pnYYpA7t4IVTQ2Ci9p7Xr4u6zCLjIP8zK8pUWbXVv7gSGiW_gWdy3UmdQGHwGvejSjAOJiOCXE9g4RNMnJIaJ7LmJ4iARlo6iPA2JIlGwJc8dKS096F4z6YoxmiSoEpSOe_53SyP-rrexDSCRd0ELxUkGtQTZD9ms-abVuFuvM-8FqMT8s48ZbXSZBusvElksn3X6-WgDh92gQAn2NVkiXU_QbftYv-9eun9hBN9nYnx1rb3uBrThsCSSr8xdFwthh3FoH162bBQpOk_LqV53nqaLt2WEdfVWrORjqNset-XKi-hDtUrcgxEFfQspVaQhV1nz2qAxXYlsgvEEPfLTcKcYADRH1KVnrj3NEMVdGlOXi4aHcyriZkMtuamGiTzpOiQ-WElF2FXjFoRUvHZSE63XVEwst55NhJXIidKTJs5ozZgL-JvK9QCD9XxrLFMrnYX3COvCw35kIRbMRC9kAO9m_TmE6pJfS-DBO16jIKVxF_3NbGSxBpwx4g301gLaysT7Zj_zTrK_2l7C4GX8GeZBE4wcwqtMPBIgdSQjXNbvJ7IgzFoowv1qyChh48sQx0fVex34Xvtw9_arfK_bWYqzo2uE7fNi3nim-OYqgQ-PnSQDNnXFXUhEoxplJ24uSxQh4AuoQ3r3rZqHo_14hHOXYhfkbEr3m4mVmUZWO8b5zk1aYIrdEGNpuMcBcvY0QGAOxPNYH4EMvG0VlHIi3L0Ow3Wc9B3fgHsX2W2SVqhJWBtPSamoYJpRNnxZLHMtW_X9YvP8ijYd9XtlTANWXd3dynfn1IYzXHQoPs9yXWZJHtZeXbDWtmTOWMdMBBHsghQsqgl_ptirlnVZShyoMZj9d96-uxv3qujkQTu8yoJp70-mmTVfpePyiTsO6aUETK-DLrzjqc11BBMOCbETOR173hsVUiFyCDecTadrByWGYl2ZLWTJ5blgo393qyvmA_BOpmQzpL9u9vix8FACtKJzgo3pTfuIlasRq3oROzBlTl9fqYhpYNEx0dYip4oUzOsnEVk3t2pPgBQlGk9xQNOsg4XMQjf7df5xjNoisqfjYaypXY489coSND6UvVWfH_I56kiWb8xqnYCXnvEfqEkDCdEMc-MRSwjF1XFtLNf6OABx6oDnINMq_9SoCC7fGFItIfV_iH66K0ODfoyFXAGeheq5LlCVkVG0KY8O2RK1UMo0EM2TRSpBNEKBTndkp3EhG6TBBPDYK8YEc61qZPzMXmzcMRKZfocslXY55b3O7XHE7K-M93hrvFAk7k4EiOehFlMJh_ovEIbiw8XutPkIVy9hPfSNGTkZd3UD5WU2g4XbiLdGLATRGHLn5cg06LEGUhI8OZBls6MU4L55U09RWUTbpAB2m5Afk1he6UjvQ6XINrLC9icl_udDQmbzmVzdW4TJd5ygnBt9AZnutNJx6fP2OLr_VSC0I5ZUdR9ZgGdeM6q2XytDgC2Nlf7uHVSZTaVarLaSBi48gTkM5i7QKAsNgAAAAABqVtucMI0ToOg-inbUBXegTis803N5ozYGfjPwo0L08bxAJy_eTo3w-vwTsw2J0PvZnXpBKw2OHvj7f3KcvqFRl68PPq4NRE7cvObvow-5mcMQsSwCocv7hg_7G3BlWg4M7YWz01-aqOuiKCcOcNpxzg7GKXkAbeTc9Uu2LHCvlNQW6sCPamOwwt4MawW1wAjljtR6mkQTzo-XMsSX1WMpo5qVck8c8aI1c4RzcWxADgR_uEzxxcqPqNAC12wMacvb5UsQ1k6Ns2KllTp06bUQC-94twvnMEnALmmM47jh-JHxzI7PWdnu8J13rY788YOHnTbi-B2F5_6KiQPtPZOD-HJdEXrc3oTA1gYnjPx7TZMMrzhf9XsfDPrtcttJQIbCx9RDQE9mYCAVbPXyEUDBFcPXBrfFMEAfHPpMi1ajS3FCIatT3nUN2_OQehpjqtDJXj532D5QLq8lPfadErdIE_3aGE2CRVx30siwUph9VJ4yTRAskCS04H0gcGF2KJGGUDAMc7irEco_jTOmakXa4jlM8M3BjAWMA2apuxDVVjLf22vgneOZMZTjzQnn6Q42cowtAyo6SLOzKN2nMuqEF_Yb7hvsoNgtIFiy0oBuoeiTD8Pd0v8exXzyUHwqlhVPQz7_7zLwgg56Ov9-5V7JIZ_GfJ3BQZ3XjvUh5E0qvAlei5qLlcZswu1Z6LGxLo32PLm0qcq38GhJn7gUpj3C2EYw-7XcFMo6xcYD_UDl9Ct87B9VvIEH4dgKYYDDDez-d1wWjxOffaRtDhzRM3SQWthUMOX4eUQi-6OXEs9heEfA9TtOx7KbEBfwxaZsV3nq7vP6pxh1NmvB97ezICfAzCUaXKT1ASSYZT1DfUygEtpTHdbLW2jHg80XXdgh38dEbXg8UnDL-7SpKpK8aJkfDIThVKWjcnj9SlA_OLf1NcU0UGK4Y1Nc9wfbGjGhsoIxGLUkw-lKiUhSa1DisS5CccZmf9j1Q_digWXyqeM9yZLeF-57DEjs-0ZdrLMJm38xxUECVE-Fv2sSwzodfGAlYqWYcQCcfCYRjZgsqPc9huBcYDblaJyZQgCiM_PrJ_AOwyTZ8ckomWfKmtTCbZUVkfIcha2mBvGi35bQHt8tU4lNZbVYN1FyRn-INchnIstYDYDC7RFOM7-e9NU8OJyFAiW_GkbhD20hBIpuTAIUbA-IaoyLy1pofzLOnAxiAbgezWKEwNqbcAvvNFHnXJPHvBmIElc9g3AJHf3xnVpVSz10cx10NU_truYRr0hCyy9uZdfqjV9625hq0oBar0-YRAfJvw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import bpy, math
from mathutils import Vector

# Reset to a clean scene
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)
for datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):
    pass

scene = bpy.context.scene
scene.unit_settings.system = 'METRIC'
scene.unit_settings.length_unit = 'METERS'

# World: restrained neutral ambient, with the floor filling the camera view
world = scene.world or bpy.data.worlds.new('World')
scene.world = world
world.use_nodes = True
bg = world.node_tree.nodes.get('Background')
bg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)
bg.inputs['Strength'].default_value = 0.22

# Materials
red_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')
red_mat.use_nodes = True
red_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)
red_mat.roughness = 0.22
nodes = red_mat.node_tree.nodes
bsdf = nodes.get('Principled BSDF')
bsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)
bsdf.inputs['Roughness'].default_value = 0.22
bsdf.inputs['Metallic'].default_value = 0.0
if 'IOR' in bsdf.inputs:
    bsdf.inputs['IOR'].default_value = 1.45
if 'Specular IOR Level' in bsdf.inputs:
    bsdf.inputs['Specular IOR Level'].default_value = 0.34
if 'Coat Weight' in bsdf.inputs:
    bsdf.inputs['Coat Weight'].default_value = 0.08
if 'Coat Roughness' in bsdf.inputs:
    bsdf.inputs['Coat Roughness'].default_value = 0.16

white_mat = bpy.data.materials.new('Floor_White_Plain')
white_mat.use_nodes = True
white_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)
white_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')
white_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)
white_bsdf.inputs['Roughness'].default_value = 0.34
if 'Specular IOR Level' in white_bsdf.inputs:
    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25

# White ground plane, exactly at z=0
bpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))
floor = bpy.context.object
floor.name = 'Ground_Plane_White'
floor.data.name = 'Ground_Plane_Mesh'
floor.data.materials.append(white_mat)

# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0
bpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))
ball = bpy.context.object
ball.name = 'Red_Sphere_1m_Diameter'
ball.data.name = 'Red_Sphere_Mesh'
ball.data.materials.append(red_mat)
for poly in ball.data.polygons:
    poly.use_smooth = True
# Ensure transforms and dimensions remain explicit and exact
ball.scale = (1.0, 1.0, 1.0)
bpy.context.view_layer.objects.active = ball
ball.select_set(True)
bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)

# Helper for aiming lights and camera
def aim_at(obj, target):
    direction = Vector(target) - obj.location
    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()

# Large soft key light, high and camera-left/front
bpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))
key = bpy.context.object
key.name = 'Key_Softbox_Large'
key.data.name = 'Key_Softbox_Data'
key.data.energy = 480.0
key.data.shape = 'DISK'
key.data.size = 3.2
key.data.color = (1.0, 0.93, 0.88)
aim_at(key, (0.0, 0.0, 0.35))

# Low-power fill prevents the unlit side from going dead while preserving modeling
bpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))
fill = bpy.context.object
fill.name = 'Fill_Softbox'
fill.data.name = 'Fill_Softbox_Data'
fill.data.energy = 105.0
fill.data.shape = 'DISK'
fill.data.size = 3.5
fill.data.color = (0.80, 0.88, 1.0)
aim_at(fill, (0.0, 0.0, 0.42))

# Gentle rear light for a clean edge highlight, kept subtle
bpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))
rim = bpy.context.object
rim.name = 'Rim_Softbox_Subtle'
rim.data.name = 'Rim_Softbox_Data'
rim.data.energy = 115.0
rim.data.shape = 'DISK'
rim.data.size = 2.5
rim.data.color = (0.92, 0.96, 1.0)
aim_at(rim, (0.0, 0.0, 0.55))

# Camera: slightly elevated, looking down enough that the plane fills the frame
bpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))
cam = bpy.context.object
cam.name = 'Presentation_Camera'
cam.data.name = 'Presentation_Camera_Data'
cam.data.lens = 70.0
cam.data.sensor_width = 36.0
cam.data.dof.use_dof = False
aim_at(cam, (0.0, 0.0, 0.42))
scene.camera = cam

# Render / color management
scene.render.engine = 'BLENDER_EEVEE_NEXT'
scene.render.resolution_x = 800
scene.render.resolution_y = 800
scene.render.resolution_percentage = 100
scene.render.image_settings.file_format = 'PNG'
scene.render.image_settings.color_mode = 'RGBA'
scene.render.film_transparent = False
scene.render.filepath = '/tmp/red_sphere_presentation.png'
try:
    scene.view_settings.look = 'AgX - Medium High Contrast'
except Exception:
    pass
scene.view_settings.exposure = 0.0
scene.view_settings.gamma = 1.0

# Make the scene open in camera view for an immediately clear presentation
for ob in bpy.context.selected_objects:
    ob.select_set(False)
cam.select_set(True)
bpy.context.view_layer.objects.active = cam

# Save the complete scene and render the presentation
bpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')
bpy.ops.render.render(write_still=True)
print('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))
print('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])
print('RENDER', scene.render.filepath)

Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene.

{"code":"import bpy, math\nfrom mathutils import Vector\n\n# Reset to a clean scene\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\nfor datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):\n    pass\n\nscene = bpy.context.scene\nscene.unit_settings.system = 'METRIC'\nscene.unit_settings.length_unit = 'METERS'\n\n# World: restrained neutral ambient, with the floor filling the camera view\nworld = scene.world or bpy.data.worlds.new('World')\nscene.world = world\nworld.use_nodes = True\nbg = world.node_tree.nodes.get('Background')\nbg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)\nbg.inputs['Strength'].default_value = 0.22\n\n# Materials\nred_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')\nred_mat.use_nodes = True\nred_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)\nred_mat.roughness = 0.22\nnodes = red_mat.node_tree.nodes\nbsdf = nodes.get('Principled BSDF')\nbsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)\nbsdf.inputs['Roughness'].default_value = 0.22\nbsdf.inputs['Metallic'].default_value = 0.0\nif 'IOR' in bsdf.inputs:\n    bsdf.inputs['IOR'].default_value = 1.45\nif 'Specular IOR Level' in bsdf.inputs:\n    bsdf.inputs['Specular IOR Level'].default_value = 0.34\nif 'Coat Weight' in bsdf.inputs:\n    bsdf.inputs['Coat Weight'].default_value = 0.08\nif 'Coat Roughness' in bsdf.inputs:\n    bsdf.inputs['Coat Roughness'].default_value = 0.16\n\nwhite_mat = bpy.data.materials.new('Floor_White_Plain')\nwhite_mat.use_nodes = True\nwhite_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)\nwhite_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')\nwhite_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)\nwhite_bsdf.inputs['Roughness'].default_value = 0.34\nif 'Specular IOR Level' in white_bsdf.inputs:\n    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25\n\n# White ground plane, exactly at z=0\nbpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))\nfloor = bpy.context.object\nfloor.name = 'Ground_Plane_White'\nfloor.data.name = 'Ground_Plane_Mesh'\nfloor.data.materials.append(white_mat)\n\n# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))\nball = bpy.context.object\nball.name = 'Red_Sphere_1m_Diameter'\nball.data.name = 'Red_Sphere_Mesh'\nball.data.materials.append(red_mat)\nfor poly in ball.data.polygons:\n    poly.use_smooth = True\n# Ensure transforms and dimensions remain explicit and exact\nball.scale = (1.0, 1.0, 1.0)\nbpy.context.view_layer.objects.active = ball\nball.select_set(True)\nbpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n\n# Helper for aiming lights and camera\ndef aim_at(obj, target):\n    direction = Vector(target) - obj.location\n    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()\n\n# Large soft key light, high and camera-left/front\nbpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))\nkey = bpy.context.object\nkey.name = 'Key_Softbox_Large'\nkey.data.name = 'Key_Softbox_Data'\nkey.data.energy = 480.0\nkey.data.shape = 'DISK'\nkey.data.size = 3.2\nkey.data.color = (1.0, 0.93, 0.88)\naim_at(key, (0.0, 0.0, 0.35))\n\n# Low-power fill prevents the unlit side from going dead while preserving modeling\nbpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))\nfill = bpy.context.object\nfill.name = 'Fill_Softbox'\nfill.data.name = 'Fill_Softbox_Data'\nfill.data.energy = 105.0\nfill.data.shape = 'DISK'\nfill.data.size = 3.5\nfill.data.color = (0.80, 0.88, 1.0)\naim_at(fill, (0.0, 0.0, 0.42))\n\n# Gentle rear light for a clean edge highlight, kept subtle\nbpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))\nrim = bpy.context.object\nrim.name = 'Rim_Softbox_Subtle'\nrim.data.name = 'Rim_Softbox_Data'\nrim.data.energy = 115.0\nrim.data.shape = 'DISK'\nrim.data.size = 2.5\nrim.data.color = (0.92, 0.96, 1.0)\naim_at(rim, (0.0, 0.0, 0.55))\n\n# Camera: slightly elevated, looking down enough that the plane fills the frame\nbpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))\ncam = bpy.context.object\ncam.name = 'Presentation_Camera'\ncam.data.name = 'Presentation_Camera_Data'\ncam.data.lens = 70.0\ncam.data.sensor_width = 36.0\ncam.data.dof.use_dof = False\naim_at(cam, (0.0, 0.0, 0.42))\nscene.camera = cam\n\n# Render / color management\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\ntry:\n    scene.view_settings.look = 'AgX - Medium High Contrast'\nexcept Exception:\n    pass\nscene.view_settings.exposure = 0.0\nscene.view_settings.gamma = 1.0\n\n# Make the scene open in camera view for an immediately clear presentation\nfor ob in bpy.context.selected_objects:\n    ob.select_set(False)\ncam.select_set(True)\nbpy.context.view_layer.objects.active = cam\n\n# Save the complete scene and render the presentation\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')\nbpy.ops.render.render(write_still=True)\nprint('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))\nprint('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])\nprint('RENDER', scene.render.filepath)\n","user_prompt":"Create a red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft shadow, slight gloss, clean camera framing, and a complete saved Blender scene."}


import bpy, math
from mathutils import Vector

# Reset to a clean scene
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)
for datablocks in (bpy.data.meshes, bpy.data.curves, bpy.data.materials, bpy.data.cameras, bpy.data.lights):
    pass

scene = bpy.context.scene
scene.unit_settings.system = 'METRIC'
scene.unit_settings.length_unit = 'METERS'

# World: restrained neutral ambient, with the floor filling the camera view
world = scene.world or bpy.data.worlds.new('World')
scene.world = world
world.use_nodes = True
bg = world.node_tree.nodes.get('Background')
bg.inputs['Color'].default_value = (0.025, 0.025, 0.025, 1.0)
bg.inputs['Strength'].default_value = 0.22

# Materials
red_mat = bpy.data.materials.new('Ball_Red_Plain_Gloss')
red_mat.use_nodes = True
red_mat.diffuse_color = (0.62, 0.012, 0.008, 1.0)
red_mat.roughness = 0.22
nodes = red_mat.node_tree.nodes
bsdf = nodes.get('Principled BSDF')
bsdf.inputs['Base Color'].default_value = (0.62, 0.012, 0.008, 1.0)
bsdf.inputs['Roughness'].default_value = 0.22
bsdf.inputs['Metallic'].default_value = 0.0
if 'IOR' in bsdf.inputs:
    bsdf.inputs['IOR'].default_value = 1.45
if 'Specular IOR Level' in bsdf.inputs:
    bsdf.inputs['Specular IOR Level'].default_value = 0.34
if 'Coat Weight' in bsdf.inputs:
    bsdf.inputs['Coat Weight'].default_value = 0.08
if 'Coat Roughness' in bsdf.inputs:
    bsdf.inputs['Coat Roughness'].default_value = 0.16

white_mat = bpy.data.materials.new('Floor_White_Plain')
white_mat.use_nodes = True
white_mat.diffuse_color = (0.92, 0.92, 0.92, 1.0)
white_bsdf = white_mat.node_tree.nodes.get('Principled BSDF')
white_bsdf.inputs['Base Color'].default_value = (0.92, 0.92, 0.92, 1.0)
white_bsdf.inputs['Roughness'].default_value = 0.34
if 'Specular IOR Level' in white_bsdf.inputs:
    white_bsdf.inputs['Specular IOR Level'].default_value = 0.25

# White ground plane, exactly at z=0
bpy.ops.mesh.primitive_plane_add(size=40.0, location=(0.0, 0.0, 0.0))
floor = bpy.context.object
floor.name = 'Ground_Plane_White'
floor.data.name = 'Ground_Plane_Mesh'
floor.data.materials.append(white_mat)

# Precisely 1 m diameter sphere: radius 0.5, bottom point at z=0
bpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0.0, 0.0, 0.5))
ball = bpy.context.object
ball.name = 'Red_Sphere_1m_Diameter'
ball.data.name = 'Red_Sphere_Mesh'
ball.data.materials.append(red_mat)
for poly in ball.data.polygons:
    poly.use_smooth = True
# Ensure transforms and dimensions remain explicit and exact
ball.scale = (1.0, 1.0, 1.0)
bpy.context.view_layer.objects.active = ball
ball.select_set(True)
bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)

# Helper for aiming lights and camera
def aim_at(obj, target):
    direction = Vector(target) - obj.location
    obj.rotation_euler = direction.to_track_quat('-Z', 'Y').to_euler()

# Large soft key light, high and camera-left/front
bpy.ops.object.light_add(type='AREA', location=(-3.6, -4.2, 5.5))
key = bpy.context.object
key.name = 'Key_Softbox_Large'
key.data.name = 'Key_Softbox_Data'
key.data.energy = 480.0
key.data.shape = 'DISK'
key.data.size = 3.2
key.data.color = (1.0, 0.93, 0.88)
aim_at(key, (0.0, 0.0, 0.35))

# Low-power fill prevents the unlit side from going dead while preserving modeling
bpy.ops.object.light_add(type='AREA', location=(4.0, -1.8, 3.0))
fill = bpy.context.object
fill.name = 'Fill_Softbox'
fill.data.name = 'Fill_Softbox_Data'
fill.data.energy = 105.0
fill.data.shape = 'DISK'
fill.data.size = 3.5
fill.data.color = (0.80, 0.88, 1.0)
aim_at(fill, (0.0, 0.0, 0.42))

# Gentle rear light for a clean edge highlight, kept subtle
bpy.ops.object.light_add(type='AREA', location=(1.5, 3.5, 4.2))
rim = bpy.context.object
rim.name = 'Rim_Softbox_Subtle'
rim.data.name = 'Rim_Softbox_Data'
rim.data.energy = 115.0
rim.data.shape = 'DISK'
rim.data.size = 2.5
rim.data.color = (0.92, 0.96, 1.0)
aim_at(rim, (0.0, 0.0, 0.55))

# Camera: slightly elevated, looking down enough that the plane fills the frame
bpy.ops.object.camera_add(location=(3.0, -4.2, 2.5))
cam = bpy.context.object
cam.name = 'Presentation_Camera'
cam.data.name = 'Presentation_Camera_Data'
cam.data.lens = 70.0
cam.data.sensor_width = 36.0
cam.data.dof.use_dof = False
aim_at(cam, (0.0, 0.0, 0.42))
scene.camera = cam

# Render / color management
scene.render.engine = 'BLENDER_EEVEE_NEXT'
scene.render.resolution_x = 800
scene.render.resolution_y = 800
scene.render.resolution_percentage = 100
scene.render.image_settings.file_format = 'PNG'
scene.render.image_settings.color_mode = 'RGBA'
scene.render.film_transparent = False
scene.render.filepath = '/tmp/red_sphere_presentation.png'
try:
    scene.view_settings.look = 'AgX - Medium High Contrast'
except Exception:
    pass
scene.view_settings.exposure = 0.0
scene.view_settings.gamma = 1.0

# Make the scene open in camera view for an immediately clear presentation
for ob in bpy.context.selected_objects:
    ob.select_set(False)
cam.select_set(True)
bpy.context.view_layer.objects.active = cam

# Save the complete scene and render the presentation
bpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_scene.blend')
bpy.ops.render.render(write_still=True)
print('CREATED', ball.name, 'dimensions=', tuple(round(v,6) for v in ball.dimensions), 'location=', tuple(round(v,6) for v in ball.location))
print('FLOOR_Z', floor.location.z, 'CAMERA', cam.location[:])
print('RENDER', scene.render.filepath)


Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum "BLENDER_EEVEE_NEXT" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')


[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your 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.

Complete 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.

## Harness Instructions

You 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.

[User]
## Task

Complete the following Blender task:

<task>

A red sphere of 1 meter diameter resting on a white ground plane — touching it
exactly, neither floating nor sunk. Smooth shading, a plain red material on the
ball, plain white on the floor.

The floor is the sphere, the color, and the contact. The ceiling is presentation:
a soft believable shadow under the ball, a hint of glossiness that catches the
light, and clean framing.

</task>

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

[Tool] Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum "BLENDER_EEVEE_NEXT" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')

Get detailed information about the current Blender scene

    Parameters:
    - user_prompt: The original user prompt that led to this tool call (required for telemetry)

User Prompt

get_scene_infoArguments

    Get detailed information about a specific object in the Blender scene.

    Parameters:
    - object_name: The name of the object to get information about
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Object Name

User Prompt

get_object_infoArguments

    Capture a screenshot of the current Blender 3D viewport.

    Parameters:
    - max_size: Maximum size in pixels for the largest dimension (default: 800)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns the screenshot as an Image.

Max Size

User Prompt

get_viewport_screenshotArguments

    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.

    Parameters:
    - code: The Python code to execute
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Code

User Prompt

execute_blender_codeArguments

    Get a list of categories for a specific asset type on Polyhaven.

    Parameters:
    - asset_type: The type of asset to get categories for (hdris, textures, models, all)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Asset Type

User Prompt

get_polyhaven_categoriesArguments

    Search for assets on Polyhaven with optional filtering.

    Parameters:
    - asset_type: Type of assets to search for (hdris, textures, models, all)
    - categories: Optional comma-separated list of categories to filter by
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a list of matching assets with basic information.

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

    Download and import a Polyhaven asset into Blender.

    Parameters:
    - asset_id: The ID of the asset to download
    - asset_type: The type of asset (hdris, textures, models)
    - resolution: The resolution to download (e.g., 1k, 2k, 4k)
    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a message indicating success or failure.

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

    Apply a previously downloaded Polyhaven texture to an object.

    Parameters:
    - object_name: Name of the object to apply the texture to
    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)

    Returns a message indicating success or failure.

Object Name

Texture Id

User Prompt

set_textureArguments

    Check if PolyHaven integration is enabled in Blender.
    Returns a message indicating whether PolyHaven features are available.

User Prompt

get_polyhaven_statusArguments

    Check if Hyper3D Rodin integration is enabled in Blender.
    Returns a message indicating whether Hyper3D Rodin features are available.

User Prompt

    Check if Sketchfab integration is enabled in Blender.
    Returns a message indicating whether Sketchfab features are available.

User Prompt

get_sketchfab_statusArguments

    Search for models on Sketchfab with optional filtering.

    Parameters:
    - query: Text to search for
    - categories: Optional comma-separated list of categories
    - count: Maximum number of results to return (default 20)
    - downloadable: Whether to include only downloadable models (default True)

    Returns a formatted list of matching models.

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

    Get a preview thumbnail of a Sketchfab model by its UID.
    Use this to visually confirm a model before downloading.

    Parameters:
    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)

    Returns the model's thumbnail as an Image for visual confirmation.

Uid

User Prompt

get_sketchfab_model_previewArguments

    Download and import a Sketchfab model by its UID.
    The model will be scaled so its largest dimension equals target_size.

    Parameters:
    - uid: The unique identifier of the Sketchfab model
    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.
                  You must specify the desired size for the model.
                  Examples:
                  - Chair: target_size=1.0 (1 meter tall)
                  - Table: target_size=0.75 (75cm tall)
                  - Car: target_size=4.5 (4.5 meters long)
                  - Person: target_size=1.7 (1.7 meters tall)
                  - Small object (cup, phone): target_size=0.1 to 0.3

    Returns a message with import details including object names, dimensions, and bounding box.
    The model must be downloadable and you must have proper access rights.

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - text_prompt: A short description of the desired model in **English**.
    - 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.

    Returns a message indicating success or failure.

Text Prompt

Bbox Condition

User Prompt

    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - 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.
    - 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.
    - 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.

    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.
    Returns a message indicating success or failure.

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

    Check if the Hyper3D Rodin generation task is completed.

    For Hyper3D Rodin mode MAIN_SITE:
        Parameters:
        - subscription_key: The subscription_key given in the generate model step.

        Returns a list of status. The task is done if all status are "Done".
        If "Failed" showed up, the generating process failed.
        This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").

    For Hyper3D Rodin mode FAL_AI:
        Parameters:
        - request_id: The request_id given in the generate model step.

        Returns the generation task status. The task is done if status is "COMPLETED".
        The task is in progress if status is "IN_PROGRESS".
        If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
        This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).

Subscription Key

Request Id

poll_rodin_job_statusArguments

    Import the asset generated by Hyper3D Rodin after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.
    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.

    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!
    Return if the asset has been imported successfully.

Name

Task Uuid

Request Id

import_generated_assetArguments

    Check if Hunyuan3D integration is enabled in Blender.
    Returns a message indicating whether Hunyuan3D features are available.

User Prompt

    Generate 3D asset using Hunyuan3D by providing either text description, image reference,
    or both for the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.

    Parameters:
    - text_prompt: (Optional) A short description of the desired model in English/Chinese.
    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.

    Returns:
    - When successful, returns a JSON with job_id (format: "job_xxx") indicating the task is in progress
    - When the job completes, the status will change to "DONE" indicating the model has been imported
    - Returns error message if the operation fails

Text Prompt

Input Image Url

User Prompt

    Check if the Hunyuan3D generation task is completed.

    For Hunyuan3D:
        Parameters:
        - job_id: The job_id given in the generate model step.

        Returns the generation task status. The task is done if status is "DONE".
        The task is in progress if status is "RUN".
        If status is "DONE", returns ResultFile3Ds, which is the generated ZIP model path
        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.
        This is a polling API, so only proceed if the status are finally determined ("DONE" or some failed state).

Job Id

poll_hunyuan_job_statusArguments

    Import the asset generated by Hunyuan3D after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - zip_file_url: The zip_file_url given in the generate model step.

    Return if the asset has been imported successfully.

Name

Zip File Url

import_generated_asset_hunyuanArguments

[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your 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.

Complete 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.

## Harness Instructions

You 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.

[User]
## Task

Complete the following Blender task:

<task>

A red sphere of 1 meter diameter resting on a white ground plane — touching it
exactly, neither floating nor sunk. Smooth shading, a plain red material on the
ball, plain white on the floor.

The floor is the sphere, the color, and the contact. The ceiling is presentation:
a soft believable shadow under the ball, a hint of glossiness that catches the
light, and clean framing.

</task>

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

[Tool] Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum "BLENDER_EEVEE_NEXT" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')

User Prompt

get_scene_infoArguments

Object Name

User Prompt

get_object_infoArguments

Max Size

User Prompt

get_viewport_screenshotArguments

Code

User Prompt

execute_blender_codeArguments

Asset Type

User Prompt

get_polyhaven_categoriesArguments

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

Object Name

Texture Id

User Prompt

set_textureArguments

User Prompt

get_polyhaven_statusArguments

User Prompt

User Prompt

get_sketchfab_statusArguments

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

Uid

User Prompt

get_sketchfab_model_previewArguments

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

Text Prompt

Bbox Condition

User Prompt

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

Subscription Key

Request Id

poll_rodin_job_statusArguments

Name

Task Uuid

Request Id

import_generated_assetArguments

User Prompt

Text Prompt

Input Image Url

User Prompt

Job Id

poll_hunyuan_job_statusArguments

Name

Zip File Url

import_generated_asset_hunyuanArguments

payment=(self "https://checkout.stripe.com" "https://connect-js.stripe.com" "https://js.stripe.com" "https://*.js.stripe.com" "https://hooks.stripe.com")

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Verify the red sphere, white floor, lighting, and camera scene after setup.

{"user_prompt":"Verify the red sphere, white floor, lighting, and camera scene after setup."}


Verify the red sphere, white floor, lighting, and camera scene after setup.