[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 on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.

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.

The 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

The interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.

## Harness Instructions

You are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.

You are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls.

[User]
## Task

Complete the following Blender task:

<task>

Create a stylized 3D model of a Japanese vending machine that has been lovingly converted into a miniature roadside shrine, standing alone at the edge of a rural mountain road at dusk.

Concept. The machine is a classic late-90s Japanese drink vending machine (roughly 1.83m tall, 1.0m wide, 0.75m deep) that a local community has adopted as a small Inari shrine. It still sells drinks, but it has been decorated with devotional objects, so the design must read as both a functional appliance and a sacred object.

Core structure (required).
- Boxy sheet-metal cabinet with slightly rounded vertical edges, a recessed front face, and a chamfered top. Vermillion-red body with cream/off-white front panel.
- Front face divided into: an upper display window with two rows of product sample cans (6 per row, cylindrical, varied label colors), a middle band with coin slot, bill reader, and a grid of selection buttons (12 illuminated buttons with small price tags), and a lower flap-style dispensing hatch with a metal push door.
- Visible drink samples should sit on small angled shelves behind slightly tinted glass.

Shrine conversion details (required — this is where models should get creative).
- A miniature wooden torii gate mounted on the machine's roof, straddling a small offering of two ceramic fox (kitsune) figurines facing each other.
- A shimenawa (twisted rice-straw rope) with three paper shide zigzag streamers strung across the top of the display window.
- A small wooden offering box (saisen-bako) bolted beside the dispensing hatch, with slatted top.
- One of the twelve selection buttons is replaced by a tiny brass bell with a red-and-white pull rope.
- Hand-tied omikuji (paper fortune strips) knotted onto a wire rack on the machine's left side, at varied angles and fold states.

Materials & wear. Stylized-realistic PBR, not photoreal: soft roughness variation, slightly exaggerated color. The cabinet shows honest age — faded paint on sun-facing surfaces, rust blooms at the base and around bolt heads, a rectangular ghost outline where an old sticker was peeled off, and rain streaking below the roof lip. The shrine additions look newer and cared-for: clean wood, bright rope, crisp paper.

Lighting & scene. Dusk environment. The machine's interior display is the dominant light source — a warm fluorescent glow spilling onto the ground and picking out the fox figurines from below. Add a cool blue-hour ambient fill and a faint secondary glow from the illuminated buttons. Ground the machine on a small patch of cracked asphalt with a concrete curb, a few tufts of grass at the base, and a single vertical banner flag (nobori) planted beside it. No other buildings.

Composition. Camera at slight low angle, three-quarter front-left view, 35–50mm equivalent, machine filling ~70% of frame height.

Constraints. All geometry procedural or hand-modeled in Blender — no imported assets or image textures for the main forms (decals/labels may be procedural or simple generated textures). Target 50k–150k triangles. Every required element listed above must be visible from the main camera.

</task>

        Execute Python code in the connected Blender instance.

        The code runs in Blender's Python environment with full access to ``bpy``.
        To return data, assign a JSON-serialisable dict to a variable named ``result``.
        Deferred completion via ``check_is_finished`` is only supported by the
        interactive addon server, and is rejected in background mode.

Code

execute_blender_codeArguments

        Execute Python code in a background Blender process.

        Opens *blend_file* with ``blender --background`` and runs *code*.
        Assign a dict to ``result`` to return data.

Blend File

Code

execute_blender_code_for_cliArguments

Return a summary of the blend file: data-block counts, active workspace, and render engine.

get_blendfile_summary_datablocksArguments

Return a data-block summary by opening *blend_file* in background Blender.

Blend File

get_blendfile_summary_datablocks_for_cliArguments

        Report external file references that are missing from disk
        (images, libraries, fonts, sounds, movie clips, caches, sequences).

get_blendfile_summary_missing_filesArguments

Report missing file references by opening *blend_file* in background Blender.

Blend File

get_blendfile_summary_missing_files_for_cliArguments

Return a tree of directly and indirectly linked library files.

get_blendfile_summary_of_linked_librariesArguments

Return linked-library info by opening *blend_file* in background Blender.

Blend File

get_blendfile_summary_of_linked_libraries_for_cliArguments

Simple/fast access to the blend file's path, save status, age, and backups.

get_blendfile_summary_path_infoArguments

Return path info by opening *blend_file* in background Blender.

Blend File

get_blendfile_summary_path_info_for_cliArguments

Guess the primary use-cases of the current blend file (scored 0-100 with certainty).

get_blendfile_summary_usage_guessArguments

Guess use-cases by opening *blend_file* in background Blender.

Blend File

get_blendfile_summary_usage_guess_for_cliArguments

        Return a structured summary of the object identified by *name*.

        Includes type, transforms, parent, children, modifiers, constraints,
        materials, visibility, data-block name, and collections.

Name

get_object_detail_summaryArguments

        Return the scene's collection hierarchy and their objects.

        Each collection lists its objects (name, type, parent, data name,
        selection, visibility) and nested child collections.

get_objects_summaryArguments

        Return the Blender Python API docs for *identifier*, or list
        modules matching a trailing-``*`` discovery pattern.

        *identifier* should be a fully-qualified Python name (e.g.
        ``bpy.app`` or ``bpy.types.Scene.frame_current``).
        The trailing-``*`` forms are supported as discovery entry-points:

        - ``*`` enumerates the top-level modules (``bpy``, ``bmesh``,
          ``mathutils``, ``gpu``, ...).
        - ``X.*`` enumerates the direct-child identifiers under the
          *X* namespace (``bpy.*`` -> ``bpy.app``, ``bpy.context``, ...).

        Both return a ``namespace`` response even when ``X.rst`` would
        otherwise resolve to ``exact``; the ``.*`` form lets an agent
        force the child listing.

        The response always carries ``kind``, ``found``, and ``identifier``.
        The remaining keys depend on ``kind``:

        - ``"exact"`` (``found=True``): ``<identifier>.rst`` was read.
          Extra keys: ``content`` (RST text), ``examples``. When the
          file exceeds 32 KB, ``content`` is replaced with a dot-point
          summary of the file's top-level definitions (prefixed by a
          header noting the truncation) and ``examples`` is empty -
          re-query individual members for their rendered blocks.
        - ``"namespace"`` (``found=True``):
          no ``<identifier>.rst`` but ``<identifier>.<child>.rst`` siblings exist.
          Extra key: ``submodules`` (list of child identifiers).
        - ``"definition"`` (``found=True``):
          *identifier* is defined inside a parent RST
          (e.g. ``bpy.props.IntProperty`` lives in ``bpy.props.rst``).
          Extra keys: ``content`` (rendered block), ``examples``.
        - ``"partial"`` (``found=False``):
          the parent RST was located but the trailing component isn't defined in it.
          Extra keys:
          - ``parent`` the identifier whose RST was loaded.
          - ``available`` top-level definitions in that RST.
          - ``submodules`` sibling identifiers ``<parent>.<child>`` with their own RSTs,
            filtered to those whose last component contains every character of the missing tail.

          For a toctree landing page like ``bpy.types`` ``available`` is empty and ``submodules``
          is the near-miss list; for a self-contained module like ``bpy.props`` it's the reverse.
        - ``"suggestions"`` (``found=False``):
          no direct match, but *identifier* appears as a component of other files.
          Extra key: ``suggestions`` (list of full identifiers).
        - ``"missing"`` (``found=False``): nothing matched.

        ``examples`` (present on the ``exact`` and ``definition`` kinds)
        is a list of ``{path, content}`` entries referenced from this documentation.

Identifier

get_python_api_docsArguments

        Take a screenshot of a single Blender area and return it as a PNG image.

        *area_ui_type* matches the area's ``ui_type``.

        *size_limit_in_bytes* caps the image size in bytes.
        Zero (the default) uses the MCP message size limit.

Area Ui Type

Size Limit In Bytes

get_screenshot_of_area_as_imageArguments

        Take a screenshot of the entire Blender window and return it as a PNG image.

        *size_limit_in_bytes* caps the image size in bytes.
        Zero (the default) uses the MCP message size limit.

Size Limit In Bytes

get_screenshot_of_window_as_imageArguments

Return a JSON description of the Blender window layout, areas, active object, and selection.

get_screenshot_of_window_as_jsonArguments

Switch the active workspace tab to *name*.

Name

jump_to_tab_by_nameArguments

        Switch to a workspace whose main area matches *space_type*.

        If *allow_edits* is True and no matching workspace exists, a new one
        is created by duplicating the current workspace.

Space Type

Allow Edits

jump_to_tab_by_space_typeArguments

        Move the 3D viewport to focus on an object by *name*.

        If *allow_edits* is True the object may be un-hidden and its
        collections enabled to make it visible.

Name

Allow Edits

        Move the 3D viewport to the object whose data block matches *name*.

        If *allow_edits* is True the object may be un-hidden and its
        collections enabled to make it visible.

Name

Allow Edits

Render a small, low-quality thumbnail to *output_path* (temporarily overrides settings).

Output Path

render_thumbnail_to_pathArguments

Render the current scene to *output_path* using current render settings.

Output Path

render_viewport_to_pathArguments

Full-text search over the bundled Blender Python API reference.

Returns a ranked list of hits. Each hit has:

- ``path``: file path relative to the bundled docs.
- ``text``: the matching paragraph plus ``context``
  paragraphs on either side.
- ``breadcrumb``: the section path containing the hit
  (``Section > Sub-section > ...``).
- ``index``: the hit's position in the result list.
- ``score``: a relevance score; higher is better.

The query is tokenised on whitespace and matched
case-insensitively. Every token must appear somewhere in
the paragraph body, the file path, or an enclosing section
title - in any order. Common English stop-words (``the``,
``a``, ``how``, ``to``, ...) are dropped, so natural
phrasings like ``"how to bake"`` work as expected. Regular
expressions are not supported.

Use ``context`` to pull more surrounding paragraphs into
each hit (symmetric, default 0). Use ``index`` with the
position of a previous hit (same query) to get that hit
alone with its text widened to its enclosing section.

Read-only; consults bundled RST files only.

Query

Max Results

Context

Index

search_api_docsArguments

Full-text search over the bundled Blender user manual.

Returns a ranked list of hits. Each hit has:

- ``path``: file path relative to the bundled docs.
- ``text``: the matching paragraph plus ``context``
  paragraphs on either side.
- ``breadcrumb``: the section path containing the hit
  (``Section > Sub-section > ...``).
- ``index``: the hit's position in the result list.
- ``score``: a relevance score; higher is better.

The query is tokenised on whitespace and matched
case-insensitively. Every token must appear somewhere in
the paragraph body, the file path, or an enclosing section
title - in any order. Common English stop-words (``the``,
``a``, ``how``, ``to``, ...) are dropped, so natural
phrasings like ``"how to bake"`` work as expected. Regular
expressions are not supported.

Use ``context`` to pull more surrounding paragraphs into
each hit (symmetric, default 0). Use ``index`` with the
position of a previous hit (same query) to get that hit
alone with its text widened to its enclosing section.

Read-only; consults bundled RST files only.

Query

Max Results

Context

Index

search_manual_docsArguments

[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 on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.

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.

The 2D presentation is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

The interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.

## Harness Instructions

You are operating Blender through the provided tools. Tool calls execute one at a time, in the order you issue them, against a single live Blender instance — each call sees the state left by the previous one, and issuing several calls in one message gains no parallelism. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work.

You are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it. When you are finished, reply with the single word DONE and no tool calls.

[User]
## Task

Complete the following Blender task:

<task>

Create a stylized 3D model of a Japanese vending machine that has been lovingly converted into a miniature roadside shrine, standing alone at the edge of a rural mountain road at dusk.

Concept. The machine is a classic late-90s Japanese drink vending machine (roughly 1.83m tall, 1.0m wide, 0.75m deep) that a local community has adopted as a small Inari shrine. It still sells drinks, but it has been decorated with devotional objects, so the design must read as both a functional appliance and a sacred object.

Core structure (required).
- Boxy sheet-metal cabinet with slightly rounded vertical edges, a recessed front face, and a chamfered top. Vermillion-red body with cream/off-white front panel.
- Front face divided into: an upper display window with two rows of product sample cans (6 per row, cylindrical, varied label colors), a middle band with coin slot, bill reader, and a grid of selection buttons (12 illuminated buttons with small price tags), and a lower flap-style dispensing hatch with a metal push door.
- Visible drink samples should sit on small angled shelves behind slightly tinted glass.

Shrine conversion details (required — this is where models should get creative).
- A miniature wooden torii gate mounted on the machine's roof, straddling a small offering of two ceramic fox (kitsune) figurines facing each other.
- A shimenawa (twisted rice-straw rope) with three paper shide zigzag streamers strung across the top of the display window.
- A small wooden offering box (saisen-bako) bolted beside the dispensing hatch, with slatted top.
- One of the twelve selection buttons is replaced by a tiny brass bell with a red-and-white pull rope.
- Hand-tied omikuji (paper fortune strips) knotted onto a wire rack on the machine's left side, at varied angles and fold states.

Materials & wear. Stylized-realistic PBR, not photoreal: soft roughness variation, slightly exaggerated color. The cabinet shows honest age — faded paint on sun-facing surfaces, rust blooms at the base and around bolt heads, a rectangular ghost outline where an old sticker was peeled off, and rain streaking below the roof lip. The shrine additions look newer and cared-for: clean wood, bright rope, crisp paper.

Lighting & scene. Dusk environment. The machine's interior display is the dominant light source — a warm fluorescent glow spilling onto the ground and picking out the fox figurines from below. Add a cool blue-hour ambient fill and a faint secondary glow from the illuminated buttons. Ground the machine on a small patch of cracked asphalt with a concrete curb, a few tufts of grass at the base, and a single vertical banner flag (nobori) planted beside it. No other buildings.

Composition. Camera at slight low angle, three-quarter front-left view, 35–50mm equivalent, machine filling ~70% of frame height.

Constraints. All geometry procedural or hand-modeled in Blender — no imported assets or image textures for the main forms (decals/labels may be procedural or simple generated textures). Target 50k–150k triangles. Every required element listed above must be visible from the main camera.

</task>

Code

execute_blender_codeArguments

Blend File

Code

execute_blender_code_for_cliArguments

get_blendfile_summary_datablocksArguments

Blend File

Blend File

Blend File

get_blendfile_summary_path_infoArguments

Blend File

get_blendfile_summary_usage_guessArguments

Blend File

Name

get_object_detail_summaryArguments

get_objects_summaryArguments

Identifier

get_python_api_docsArguments

Area Ui Type

Size Limit In Bytes

get_screenshot_of_area_as_imageArguments

Size Limit In Bytes

get_screenshot_of_window_as_imageArguments

get_screenshot_of_window_as_jsonArguments

Switch the active workspace tab to *name*.

Name

jump_to_tab_by_nameArguments

Space Type

Allow Edits

jump_to_tab_by_space_typeArguments

Name

Allow Edits

Name

Allow Edits

Output Path

render_thumbnail_to_pathArguments

Output Path

render_viewport_to_pathArguments

Query

Max Results

Context

Index

search_api_docsArguments

Query

Max Results

Context

Index

search_manual_docsArguments

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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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data: {"id":"gen-1785512530-cwHlglCfPb9xfh5PkxM5","object":"chat.completion.chunk","created":1785512530,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" and","reasoning_details":[{"type":"reasoning.summary","summary":" and","format":"openai-responses-v1","index":5}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512530-cwHlglCfPb9xfh5PkxM5","object":"chat.completion.chunk","created":1785512530,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" bill","reasoning_details":[{"type":"reasoning.summary","summary":" bill","format":"openai-responses-v1","index":5}]},"finish_reason":null,"native_finish_reason":null}]}

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data: {"id":"gen-1785512530-cwHlglCfPb9xfh5PkxM5","object":"chat.completion.chunk","created":1785512530,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":".","reasoning_details":[{"type":"reasoning.summary","summary":".","format":"openai-responses-v1","index":5}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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data: [DONE]

import bpy
result={'version':bpy.app.version_string, 'objects':len(bpy.data.objects)}