[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>

A desk-mounted robotic arm with at least four articulated joints, posed mid-reach toward a small object on the desk — not a generic industrial catalog robot, but a refined experimental machine built from a combination of precision mechanical assemblies and selectively generative structural elements.

The arm’s main load-bearing struts are topology-optimized: organic metal members with smooth branching transitions, controlled lattice openings, and carefully shaped voids where material has been removed according to structural load. These parametric forms should appear only on the elongated structural links between joints. They must not continue into the base, rotary joints, wrist, actuators, or end effector. Each optimized strut should feel like a purpose-grown structural component installed within an otherwise conventional mechanical system.

All joints and connection points should be clearly assembled engineering components: machined cylindrical housings, bearings, rotary actuators, bolted flanges, hinge pins, compact gearboxes, brackets, covers, and replaceable interface plates. The base should be a clean, stable mechanical assembly with a visible rotating platform and mounting hardware. Avoid ornamental latticework in these areas. The contrast between the organic optimized struts and the precise modular joint assemblies is the design centerpiece.

Remove exposed corrugated pipes, aged tubing, rust, corrosion, or distressed materials. Cable routing should be minimal and controlled, using slim black electrical lines, internal channels, recessed cable guides, or compact articulated conduits integrated close to the structure. Nothing should appear improvised, draped, weathered, or steampunk.

Instead of heavy woven fabric, use a very restrained translucent technical membrane only where useful. Thin semi-transparent polymer panels or tensioned mesh can span selected openings within the optimized struts, lightly revealing the structure beneath. The material should resemble clear reinforced film, translucent TPU, or fine architectural mesh rather than carbon fiber or ballistic cloth. It should feel protective and lightweight, not decorative. This membrane may also be omitted from some segments so the metal structure remains visually dominant.

The manipulator should not use a three-clawed radial gripper. Replace it with a compact two-finger parallel gripper or a refined adaptive pincer mechanism. The fingers should be mechanically designed from solid machined components with small replaceable contact pads, visible pivots, and believable actuation. Do not use topology-optimized lattice geometry on the fingers. The end effector should look precise, stable, and suitable for picking up small desk objects rather than aggressive or creature-like.

The mechanics must remain fully believable: visible rotational axes at every joint, plausible actuator placement, clear mechanical interfaces between segments, realistic joint limits, and sensible tapering from the heavy base to the smaller wrist and gripper. The pose must respect the joint layout, with no intersecting parts, impossible bends, unsupported structures, or decorative mechanisms that do not explain their function.

Present the arm in a clean contemporary design studio or robotics lab, reaching toward a small machined object on a desk. Use premium product-design lighting, a neutral background, crisp material separation, and enough detail to show how the arm is assembled. The final design should feel like a functional research prototype combining generative engineering with disciplined industrial design.

</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>

A desk-mounted robotic arm with at least four articulated joints, posed mid-reach toward a small object on the desk — not a generic industrial catalog robot, but a refined experimental machine built from a combination of precision mechanical assemblies and selectively generative structural elements.

The arm’s main load-bearing struts are topology-optimized: organic metal members with smooth branching transitions, controlled lattice openings, and carefully shaped voids where material has been removed according to structural load. These parametric forms should appear only on the elongated structural links between joints. They must not continue into the base, rotary joints, wrist, actuators, or end effector. Each optimized strut should feel like a purpose-grown structural component installed within an otherwise conventional mechanical system.

All joints and connection points should be clearly assembled engineering components: machined cylindrical housings, bearings, rotary actuators, bolted flanges, hinge pins, compact gearboxes, brackets, covers, and replaceable interface plates. The base should be a clean, stable mechanical assembly with a visible rotating platform and mounting hardware. Avoid ornamental latticework in these areas. The contrast between the organic optimized struts and the precise modular joint assemblies is the design centerpiece.

Remove exposed corrugated pipes, aged tubing, rust, corrosion, or distressed materials. Cable routing should be minimal and controlled, using slim black electrical lines, internal channels, recessed cable guides, or compact articulated conduits integrated close to the structure. Nothing should appear improvised, draped, weathered, or steampunk.

Instead of heavy woven fabric, use a very restrained translucent technical membrane only where useful. Thin semi-transparent polymer panels or tensioned mesh can span selected openings within the optimized struts, lightly revealing the structure beneath. The material should resemble clear reinforced film, translucent TPU, or fine architectural mesh rather than carbon fiber or ballistic cloth. It should feel protective and lightweight, not decorative. This membrane may also be omitted from some segments so the metal structure remains visually dominant.

The manipulator should not use a three-clawed radial gripper. Replace it with a compact two-finger parallel gripper or a refined adaptive pincer mechanism. The fingers should be mechanically designed from solid machined components with small replaceable contact pads, visible pivots, and believable actuation. Do not use topology-optimized lattice geometry on the fingers. The end effector should look precise, stable, and suitable for picking up small desk objects rather than aggressive or creature-like.

The mechanics must remain fully believable: visible rotational axes at every joint, plausible actuator placement, clear mechanical interfaces between segments, realistic joint limits, and sensible tapering from the heavy base to the smaller wrist and gripper. The pose must respect the joint layout, with no intersecting parts, impossible bends, unsupported structures, or decorative mechanisms that do not explain their function.

Present the arm in a clean contemporary design studio or robotics lab, reaching toward a small machined object on a desk. Use premium product-design lighting, a neutral background, crisp material separation, and enough detail to show how the arm is assembled. The final design should feel like a functional research prototype combining generative engineering with disciplined industrial design.

</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

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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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"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":6}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" create","reasoning_details":[{"type":"reasoning.summary","summary":" create","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" a","reasoning_details":[{"type":"reasoning.summary","summary":" a","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" formula","reasoning_details":[{"type":"reasoning.summary","summary":" formula","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" using","reasoning_details":[{"type":"reasoning.summary","summary":" using","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" a","reasoning_details":[{"type":"reasoning.summary","summary":" a","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" combination","reasoning_details":[{"type":"reasoning.summary","summary":" combination","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" of","reasoning_details":[{"type":"reasoning.summary","summary":" of","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" starting","reasoning_details":[{"type":"reasoning.summary","summary":" starting","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" points","reasoning_details":[{"type":"reasoning.summary","summary":" points","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"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":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" direction","reasoning_details":[{"type":"reasoning.summary","summary":" direction","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"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":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"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":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" local","reasoning_details":[{"type":"reasoning.summary","summary":" local","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" dimensions","reasoning_details":[{"type":"reasoning.summary","summary":" dimensions","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"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":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" It's","reasoning_details":[{"type":"reasoning.summary","summary":" It's","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" all","reasoning_details":[{"type":"reasoning.summary","summary":" all","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" about","reasoning_details":[{"type":"reasoning.summary","summary":" about","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" ensuring","reasoning_details":[{"type":"reasoning.summary","summary":" ensuring","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" everything","reasoning_details":[{"type":"reasoning.summary","summary":" everything","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" aligns","reasoning_details":[{"type":"reasoning.summary","summary":" aligns","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" correctly","reasoning_details":[{"type":"reasoning.summary","summary":" correctly","format":"openai-responses-v1","index":8}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"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":8}]},"finish_reason":null,"native_finish_reason":null}]}

: 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

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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

: 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

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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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data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" management","reasoning_details":[{"type":"reasoning.summary","summary":" management","format":"openai-responses-v1","index":19}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"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":19}]},"finish_reason":null,"native_finish_reason":null}]}

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: 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

: 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

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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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" support","reasoning_details":[{"type":"reasoning.summary","summary":" support","format":"openai-responses-v1","index":28}]},"finish_reason":null,"native_finish_reason":null}]}

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data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" motor","reasoning_details":[{"type":"reasoning.summary","summary":" motor","format":"openai-responses-v1","index":28}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" at","reasoning_details":[{"type":"reasoning.summary","summary":" at","format":"openai-responses-v1","index":28}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" the","reasoning_details":[{"type":"reasoning.summary","summary":" the","format":"openai-responses-v1","index":28}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" rear","reasoning_details":[{"type":"reasoning.summary","summary":" rear","format":"openai-responses-v1","index":28}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"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":28}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbL-1sD3AwEF6u4wDM3bZxLl-pBOZzbR5rTgDBT-18ruEJcVl85bu6vCMYbk5Y4oreYyYU1K-arwBZxykDZ1KVjSgwg2-lIwgbhq5odF2L7tWg_EMKw_tiq1IFmdb1qY8eS4CPeiXUbEFqOdkVABZwpM-cxxJSX6D5gBdTrWya22-Ya9820oqh9VlPhTcpjZ7KnaPDO-kWUzME6DY0rr5mCNZDkPBGRwrWBcZ4_hnIq-kjWuUyT0r1FOI2Jh1MiACPxSPTEkcKsOqyQeBWCASjH51oMH7cyW7r6oE4uqhcWkffBxpxYRI7aKqRWcogvYW3QsIhBEK8PhW09nPSPW4JjnBqtou0KJc255TgDXMnp0FK1F2obmJHGMyrmz0RDJfQ2_w1oURwhSLjbCBLJtFA1g8RlzzlHi6j3sQkvmbqvnJVAcs9SVJeQc7l181sWOwiZaG5Ga9mft4M0ZSw5Qp887JJ0ZOVlbiqEk0HmTB7JuBEH2EQSmJiXCfD735y8OhG9fimCpnNk5PSXCUnRRs59tKoO672tWL69USTww4xor6ytfNBI_4yLyXWMSpy2LUWUZ-o2vGW6TyaUR_FZSLQzSlD1e3Kwa9fjuunISn9GKxGa-IQ-VAdONUwrr6tCQN4d9v49eWUCLq9rfKFnq9sTY2fKuER2_6aVabTE0noxbQ0fXBYd2p9A3nh0uO10Cvw51dIqN3eyZ2V3_qEpBbHtzAcqH5UUfWtBYmjN2kHRiENwo6cnIqqYMJaScgBT7CpZagcTpi7GWjSEYzdK9v69I8gy1EoLYzY8Eyr-FxXoUQRJvZnLxOa6WDWrOm7p9gSl0HQCh3c4PoMNJ39ZdjhjttZlgVGL025CC4ivthqUs822LGb3tUqdUwwB6j0bXVveNE2EAMlHullln3NNnJvlJjapI1vUudRZNaQ-cUkp-1_dlCXNHrJPyqGNBu6GFmEXI4ch5GXWAzsXm6i0iUJf8Si18hdd6TMbJ3zAH2nRP0uJXE_Y_GXH2cD8Y5UqX3wJW7h1MvQZup7RcBk6vv2TFAgDOak2ZsrvO6jIPnCxQT5IQG6h6WHX3Ci621l-SLA-rNKSoEVuhfG5snvVq994EgBxHaFzvBFKb8SGiOAjn6-LhPkjKURrXmwzSqHFYueYOWJVp5I_MBtOQN69M-AIzDyPxp3EN4yM7uUfHXiPQjE6Tnv6dYvEA90QzVw6ZEkJY14jMHf9u7NqKK8FnIKrdDv265wWSYg2-X_FK2iBvONEDho16p_jdRAV0FrF3h6dxCOlGG--C1UqV3GvWiKqlhNXAOokfxYN5fBC35539nzoAMnHfLdOujvDcOsAcHKYhLTzBmL6xfEWK-pVaYox9IxWBjgD9lr5MdQoCu__MsccqZpWdMYKauwf5wgRVJTow-8fHLqxYeWYgB99sGFzuBxRMFWRQkqIPjqBe8Ajxm-mA5BXHA-5QP_Ew0vpdonqKTfhwQGG5530Wf4LbD38kSrbQSciYOx6ZWhMJcfoUdt8JRW7q8Afc0WncpqpHVdEUuT-WapwlIjXzMsHLgJs-qkDYHsVRnDML20DV2G6prNtNtKLkmoipD2AOPiM_-Trb_fOAKr3KbR_IoeX4CngfUcZ9xF4BOsg7ZZU0IU9KrhGWkqrrA2J37IDp2X7paVKeJzrBCfsgk5FgmDv8L4TAJOpD22Z2PUG_ZcFstQarB71VqND1EOnM_Lm4rFB5lH8mHtz5b2fU34Hv61bBVnbD6fOPHVZ1Xtb7vPu8IoAjyi5uc4SScLa-Sc-LKhirw_g7BC62YxALPoflvgyiwlYdFuHaU9lM7YQOMMXPrdof3nx_xHHRkhz-16C5I5lubymF44-qqvztH7gsiaK8LmJO-0E2RvQy7UV70h0ztHnSlCgjqmGSvUSp5i2Sg6anS2eeIedUioJA1cI8GIoMO4uQAbXzGikHfnZP72b-nqZvfsGM-a_AFHpamG8qODo3TPgx0gT1fZfa8jnFtou4ElE1F_Fa01R6cyzx1U5TSDXkV_w2F62XNrbvoBZSMbMUkvnvhRj3REDW2a8IARXFbtWNZ4yJcXZenOmRZRYoqku4uk60j-BFviuZJZHovbDETn8JkOXFWVGVmNc5uQQpOOFgHYB9wWByTrPjYlh9Cc93_v666aCv410nU_c0LOqpfy44HrquvoBtoGl3J31TaYkEabFQjUeOiAQqwjOiPmwph9Cx_tZpLbKwTxalVvPbrh-3fRr1zMiwa8_6ndK8RC0SOhSW6Dr6GGkhxBRgoZ81m-F-U83ZASjYb2vQlnGidIP4HnOAxjkdestXNORA1TfJyD1cLpMR7pIm50t6Qcld-5L9NHbNBridre7v6fFyFU_sSSanIlcrHFKJs4ROfOLtp6h9M5gpdPdsWEspWvRmL9928mf_BheZbUa_84Svb76FjQMcmctybN_B8jYZgwmBgv7qiTUtS_q_RVRJLQjxFJGOWrcw0Q3GfHTeU_D-D16apb6XFWs9X308iaS6N_MyqTrOJdQ5UC4Syf1r8BXMmkFC6LCh_NWu9JUpWbaaggEek3DumWDAci3RQkL7w90ww2DlRZA4PlPQAGAHmSk_0cnxfvMfcn1_gI0LXjyMDNFeirjf9fBgOK1xxskooa0r4zu2JmpOGZ_bnx6hRBx3GJBLIKUCdlCd4F7-uFc_O5PtaWkOj5Wq2nKTB1QOWhRB-UNjeJtIaVHKQctTu8xc7A13rDOTT_ykbcTE7kzRE_JfxROFVuOLxe5uhXULB1UnwBXAe4eKRzSTh8FctVPKJYHG8Cczg0R8mm89SII6AAIl0rW9NBalPuPnjQ3337CJ1wVYEV4tMFSvDw6d5o1TQZUpSlKQeDiaDlRW_5YXyVoSEmBXEuCYusGXpOwgxgzTr2susOXKh0M05znv2IvvGNOcWBc926vUU86mPT9dmwBF2ZOtk_30fOkQnlNs5RaUJ8EuSQjFQZnSIVAR5NqdFyp-F12JaamDd21kVj50cqVoeiNkr6cfK3XCVHdLiqve9ht-3w0qhDTDRUGyoVuArW5I-qKr_n8W3EFKT1OzGOqdM1ZefZ1H7fC-4TtPM_iGXYo6aK-iTVDzt-zMMVMuMziRIsDMQ5i_IB0vgIBORuFQW_YN_nS9C__PPX3S0hzLxep8GZ1XfuHCd-XaC1Ps5P9Rpq_QRLKIArdGKdukC2koDa9sJuT6K1xfyjBtOYOKq-zhKH7h719xjoiwxiX-JIrzLZSd3CCjCS2bnD05ZGn__B9oK_NeKEct8D8ITmRt9-WpDYZCLQXAP4gW_aIrHeg0lhum7q_DFgPmQ0YfCKPb4Efc_zc_RDCrh2H-Ca12OxkoZGqdW7Z9G6I94AG4EnnywR4Ssbvd7GTDObeXYGQTH2X_ILU-YRltHnsp96F2OXCKc7mFnV5ebB24iVDW8wufweGPg0sBHmvUARhRXboVPZ7P2uXvtCf_atMjwYQvAG2dTOuGhfDcm_PxWxRbzVrfq598gSNKTQAXHT9mDxmAr-h1hH6gFTtCKGP4AonQJZyFw5qwvtBzZw5zwkCvd7GKsJ0J5Zk9tU09UKobcJQGkz6UzrwDvgTgm-6rJbvkazXPWqIdEFKMD681NJpcefE2DUNz8hnLFT8a25bwRT36GsbjbllGufdqCUsVx6i8xXdVqPKcpOaaUuhSoPUGO6tQJiuIS-EbO4XZCdcJva7wz625_1OMRYBWNVPw32T2MxlEQY1TU1KEVZbtqVAvVPQy14X2jDIdq1ZQNKu7V2_hvjNg31jKOTvlLWZSviYBFmA==","format":"openai-responses-v1","id":"rs_03d2f85842237912016a6cbfb229408191aa153090c336a9c1","index":29}]},"finish_reason":null,"native_finish_reason":null}]}

: 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

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbL-7DhE34Yg1YxPS8GebFWn-KInz162i5ct_8Q40eJl_QCbYmU8CikNUXbwydpogjU5z5cWdFcPBruZLtV7d9LZLBE-ISglFFvURaB8euqVKg2Lit9yLerJmWKv8VhRg1Ln063S70dtAss_x1HZlra4P6k2tGVrKP80Pstf7kmMg23EbDpe1S4m7etEd7Z6CXCiKbEncDgSAo4uiHydIsV8gAhLL_YZu_U-hSWIQxr6zgG_8BpwZZtko1YNNkSvwKRmS1DjFYBwaPz6J6j2gkDjSWcYKPoAtD-NL0zPOXG18lTp1OY3z40BQz8yAhcZMMSwQX4IxyNUH0CoU9-am7QY_7nAG9Uv8kN9sMaHaxJvkkUvxnFo0s2Ll7jq1Wnv6op4zJ05I5ZIw9Rh48shrMQLlyoz79JpMoQy1816PPn97FhaaYDHDZm2oc4XoaIvbriUde1p3NQ0H6pv-FnGHbSAEr39P7RcssLza3V_BNw5G3wueFwN6baiQez71tU3wsQMUD_F-eSayKQIX5DL0o814rY9h2VuvFn4PPnXAWifL2or6jC3W6ZQrN6a-eLSkv5XMAzDT2STaznZbp-VB4oeJUMxh9kej4WHN7_CODigWW1JLoFwSB3i5eSQiF7S0NR0aB9YJrVZQSq2N_zKGQ1XilWJtv_aTglVe7CUB4oQM2TCEPfHOXczJiM_qnT57v9z2VxJsCsU0rpY85t224HUn3CXEuHMPZDyj8jnF2GvSNFfTuwDrry0-6SZ6-8PbUW-XOQhsRZwVnFcjVqga7JjboWJWmoqsSfBwdktNghgHtvrKt200Y059Dc1CWqubB9pC8f6Jwq-lCcBh3Cv8odLfA4Jf3oswRVTubrw8_DQw8IeGdGvIHas9LDF6UwBd407jzzzLWL93axa1U4nnMLGrSvuL4b9VfGv-BpR_1htDK-nKwG6DiDMUgOzkO4Ft6hTN7VbtFv6fx2PO6Uiss3XVe122grdyO0eDR0__zh86d8k1mYKnNwIhC018X9AUKZolep5ehhMGkbJ1yCSh3GXE4YAyCH8AUjJ_t-Lt-TxmGqQn4Sy_CrqpUFtLgA6szOiBnaMhJGIMs2hnHM5bhemtMbRuZEGaCrz9gMzrBxWygjQ32-8wWMF0ZPeO_sZ_WhzolyKWG7rpr9V52lfDioi8pCmrTi3Fu96VhUOX8g5tx65CCkmJxJKP5qKcSx7USc56DC1KeEF8lr4Yl1vvczVNk35lLzuMFbNr3cfPNWQ3cE9pYSwAJ4FNPqHYx_szy-MDKnJzlP54M5qVr83KZbrnW649dzW30FXFi0meE7DtLPLTrDpUdPE-j5lQ60K_E_QprdeGi2NlHql-wYZP5xvhi3T3En7z0NPsnSubRla2LiyCtsrb_68dIXK0SvoyLxPPWCDunsQ6t9UMTyCctf1UAm2SzIdjk2_OeC5JGzf591MEiuAZ7L_yb5mwYkv6JeRpWMnnYa9h-RObtraaN_-rX6LHUNra1PDeEiLnazqMB7Zr9meU6et4y-54TbLetgqmiWCezik96yDcVaa2xobHpsdBOi64xTdLw-wxveuJQvrSVTuX_tndx46CJ2UKM61rtFMfJJ6bf1-ialr0AnzKueooUFv1bwX71sfzVf2bgqxjz6_EGfsjU6EemE6z8wiSrtxPJepH7qEGf3ZoOCc3xfvCO1-3SQJZ_TQiZWZuGEOodmrCqC8gQ3sA5Pel7BlQRlEs0zVWUtlEUSJTitNq7xe4CZrZvuTHQJmwWXJmJz1UpJQMcDH_X6Ea7gTztziDEgTFndYRvwnnIHBvhv_L8l1kxnZzXPrKJvSk2qwbMu6Yq_BcrYgahzYdkZ83nvCenE4DCTOCIm-Y6nzq97kFu-5cSmbO5SAvF8BivTrHeo5g8vdWv9SKTw0AC6vKe8LCVi6h86k4XbY_Gy2E1s1uHXJOTKClUl9tAY3frJ9KiB0uZqoV-iY0RHDblxMPPItAj9CM853UwHeAmI6AeTxpT1MRvlv94UrvBh9rFUyXWQohZS5RtQZ7z7tVaViXqtHZz62ExxuACgQ2OBpoGo6PHS8m-FK_oEUD-kuFpofLje2vJz0fqvlSzkBVHOjBrL2zDZEtmRcSovZYunxOEsLp0hRsGj0Cf_6HIy80MMN1Xt40ixrR_nE-imNFGXv0xcZSTQOHZrwpl51MTQwnmClriqtzM9W1aCMjy-c3TQ-2vkeBpIWsiv3TOUIxCaUIADd6h7FPfWQQGk1gMDpJ6Pdryics57p4k0wSWoeTDiJ5raohtb12wYkWIor4t9BruJQy_BiLExIBgHTCehkIUJzcmZFg7TQXwWRSnXFhAXtlnhgCV59p7oYyK590ACSepJXCVCQIpq0NUUrMJm3y4lnaxmgJ0fIag9FMJ6O4Qi8HqZHsXrVZmt2nViqq6dFRdLEKbng52Slpm9esYkbd6xKkVDJWp-IdrSc9RCAdUmO7jGt7vVlsnn-K_IhAU2ZmgSENVS1J0KFZnpZ6KvKJFkhfgQv-Yttt0Dr-g7NNFtdXV1Wp3vugw9vF1cD3eHcZy1TtBipWKeFR1SO91AcJeX7o5EtuvSUfB32MWe-Dm58bSzIgVvvkPgVfsFYiTEv0KAngi4O2Q_8S2YxizUlSTlV2y2WeItW_aSZdWJoWk7vEbH-qZqO6ULN_oc8QyNxIt2zoRTNEPPZPwipOqrYW0fNchgs5wfdGFO_XBJGYsMKcQzVuRzChu1fwYfT55kGSB1SxsPuhyRzJOqnuvAvecaSZg0J5hdDfcrOLU9wuwVtGdpAlQqlvHjWARpyLcJlWBkMTfKim7675HcSsesUMcqsCWppYeWiDvcS3yiJv8cMAazgxRpcJu0fUWtID3HSU7CgfHXgIxFP5clfmukOtpnbTaPZX6b6yZwwzVfLSWlkuNVJnER8koMfpmCiKA7XoxhRHKOXcuXLKzywfEAi28ybibaG6wgnbviv60jLyzFqT5xL1ioHAehD48BAVmFf07aHR7cGLwRYcLi8iQ3GiPM3aeu13v8UHz8Yxd4mLQD4cTJ3JGWSodw7KGzgsEfma3mOxobBwhTp8z1O4Bkw137JJelQFQQV37qk6dpPvNg5d_kbuPYLtL7OuH87geCHOSPQ04ncc5p_qXwiXAUFkCzW77OaEP__SPYE85VOxQ8h558Ut72q3tSGztIO9y-Nrl3J_TZO932Xi2VhUinOqMuZY7u4AQ5FTmOll01nvdBxOSlpd71m40jh1_pOF-t8s0nX-6_GindaWkcR7qjGFj6HCFyxECZcWr-bkJPPyfa1WQT0pm5ZgThEWcvRMK3jXmo8zjB7RBUtshgaGsTA7sfcr4HYps0UFCyuk6ZrSnpI-32hzIc9h97onHFndeY0Y3e9xVJLYCylbSL-gm0VaGIfpV2i9jtDSJenOmrO-jxXLDlOuK82Eo68fda-IULrFy7SK6PwQ6iDTSVPflnr5YIoafKoT7zEhQc8WdB_mGcR_lYT63nKG0OzgfI6sbPazhGlBQwWPIyLUL5NK0e4sDBqr2XWFggVAi1yriiN3RZomCngVlDtRTM3xM7IFJA9Nw8ayA2IdbQmbncvnncndmgho1NWgqxt86ZPp9wdTxFJ0hauhIjShydGqdvgqHdTtkkZwTCEqe2yvkGkvVwu6I1Q2yToSWlMdAZb7c0bx-Yhg1lSpMpC5fNQPousYck9umO_jMQVd1RPAiK2HEILr_xTrzjThaeVhQCkjwZi8wWPOn13xN_x3Req8_SfjNoAFpwRq","format":"openai-responses-v1","id":"rs_03d2f85842237912016a6cbfb74d14819196dde6842a63cd75","index":31}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbL_A9NfhNV3IdOeYgr0mr_gBCXxoIfUCFAntFwnq9mao_IaHxV9qxsyzhb9mwD0SJXJmZmCILEKUZClamekNv995G_Ti274XGuxo4DRPLhwExELeoY-gKr_BE1Esas_co7wA2O1fXjWflGkOPzXUW3Q5c9S6ZDaop3gmkaWFzmAvEuZug_wOLVL4VCkmNdAlbIr-O3OcCwnAXb2KcRJbJvwZwe84vF7g40ttNZSc4RuXGmAZhW8rqBbBkPETQ94a8hdIBdPGeqlJxhydpjy8iTh3c2QYNzZeIOmUvOO8qQnMSHBI4oCcIY0vrXh1Jwp3xFt9ETihXqBo0AikxwFuFMO4aXmUXPXAy_5jv3ydrE757T24pPG4aw_1Uy1EkHmy1BCyWX2n47jcsJDpzm9wlZb4gY1L39RTpz0pBmakB94KfuCdSmGJ7j7XDZpmDh8lXmZjfz_ML1rJnAK8W4ACZ0zajxVF-W6noBHZY7a1trfaSE5vuLdCGwi3gYtM2wxASaUdoPpGCGA9oR54pDIMf3a4e1i091-DDzFKU7N23w5IofU35Nz6ukztwQHuqVhKuuPceRc25z69DWZhGRmYDEhRF5JSzI58qC9k57lo6okNpRWF5FbFtUh8X_XCVB5Sl0zLt8goA0eZMvBYYaBLhYOPp20UHqyhxsw1PWzkV51TeoEZRTVvGKC62h_Iu6lCDWAu6IQXVh1sMPgn1YF0iEC0dcvX1A7nHhaIVIihN_OXD9ExgGI7FpX8OChxgGVaEEaOIaRmpCaq1foaOTnO7QXAJEzwxUJBKik0pNW4Uf_14BEOSqXK_b5JbXIOnPurHTuMadDlkVcq8uV_iMsojLZZLnOBLwg2fVlFYrHLbhiDgcyG9rBihHU2crH-unnDNG0qZ7es4F3ag9uUIZClRDGFiE2e5VfmY48g9XjH3WhWBsBdNoZyInudpedhp1aibPQAb2dh0fdFKAtiSp0AIjZKeFCfqGWJmw11jwJj2WyHxHzsuGAx9aXb3NK3-9qmmyzjzm66AuTmRq4x6av4W9uabfhsZ5xVNUCvUq_gWzElmqmrbEIbq2hyfpFIsWWrw2anSc5xPBcHvNzZTMfXI__h1DacPOGRCZgKPP08_WT5Sap7fPLfg4y_TVEdjbe-iQFDyfRNRfxYZ03UWyPEWXrJjuz2sWmURPBasU6s_HPmwetQDMp6wzC7gA-4wxhEKqhFosUgqvHrL0crjRcb59PyWgml30ccD0Vwu2RS09VsVnDp4Urz3rPkXTf4H7I-vU8XBD3tG7xW6M0XoNtFGe3Wt4exdvdG0MLvarxJMjTKOIoh1wg7bNh5t8JPdBVltG6oUoasYPd7Q8MenbbLhrTz8SYotSUbAb1b_yvXB0hH9KnIUGknJow3lQm1fI3vzEizZsaFJEdpylCTMXJpZcJ6az-39tGUKxmx0Ni5uQi_lBBXevVFr_czDGL44rlAiYTW7NPACpf4fW4tC_xxgi-IdooUpwV0aWmyDBC4k3DGb3fLVbWXYoMqpMCD8xstW20p6fyn-YHVyo-Ta3rvDweEmhzTqrA9Jo3AcD7YE9PV2NX63J7GerKu-fSkGBToWcOaGdqwnClkTkJfUQFFDwQKWZP6uipdU11HD-dJM5Yjc8ucUJiZrqsPdHj6GlF_Xd9Y6PG9qhuMfUwjWQiI3VJrs-6fKa3mGENhe6IlvDE4eYE9EAMCnlmObL3oT0Ibp7_Rk5KVjQ_-QKZvD-CKxwZSEUeSHqmG7WsMDCbxJW6H1KXCnBW8KcTgaY59A-GBdlzRFCPAZdbRhH43nnN6vGiZOWCQnh7Kb8W8Yy6LiJ8WaRZMIbkjlxOpTJoYOypFu_SGdbQlyIZvqxo_X_75Bchy4hNDlWL2FNSU6b5SOUUc5wXMkf_7oinXBXPj0g15x7Hk1E6gVz-qoMF08qiFbXBQuBCZa9d5LJUMsVoP5CmfX0yywTAE1al3C9gr4xBAreP4O48bbblDVcBx6Az87uzQvY3Zl7koFregtaZ4QsKvKHdFaDjLAsKIC65SDb2mKp8y9nkjbMxY5byniq5pxz_5K2WopY-6FpTuY6OD08qDe0a0uTlTS53-774_L-AYnaVPoMhX61AG3r_zKS3Ag0ksDQMfYgdWqnKHCS76XLIt1UFhhlRscQ-RohtchNZGUelYSgzYyfd0EH6T6poltNgy5m2GnQCft2mVnlFlAEOfHuYSOtOrejHLjU_a7r4C7ihxU80dezPlJ35WZ4JhBv4G1qcThx5QzURkR8qIzQCgllHJJWXNOdRAj_e58-vgXgbZ7D_SowDvdtuBLwUX1IOF7Q_2PRukgRzwnWBlxUaCJalBGqe9br8PNTmO-Ssp61eR6MHN_jkk95i1oG7SIrRQzVUFoY0s4nMSJf1VC-032IM6yT9Tv2kh8yk57xgUpkfTZO4YUmmgm-XFMuM865PMR6f5Zq3OD9cYi29C8o6Xb5fcttEgOgzcnqlpZ47dz5e8cVLM6cvxTfHbjGPa_b9d1KZJqQ6pB1wNbkvzdTWMSItp8reZbfDri2x20nR0-gTnnc-tXc8CzU3H9xNUfrf5TAxx7tVDWSpxmnC1O-52IC-qtV8xkDmsV0hGjrt6G3HDrx4D4lnmwJThl_8QuRRE68lK5WaTWoVx3e10TL5neS5nJElgIJnz5GSHjDxIkySFdyoBgkFNn52HMHnPVaYN6vRZr0CUx6S3l9WIC49H3dg9LaXjKYjmx9jN3PNb18ncP6siupRWEoEk37pVWjI8jQU72zuqcIgs6rgTUYPWg9jNUtHWwwL9SbqtxI6VUd7SpBXxsjzyZWMGrevFBsK7_DkLj8EtjLQCGxohALkuoax5RQsbYC1mvol8eaouQ4JJsqWtC0BNDdqsHVnHAlPramowm0k9BTnD5BQoQsRkrmxvLaNQHw6IdJTg3ESsTf-aai5rYbuT7tu8edHtIwKJHhOeiQpAhoGnlad9NPooJwRfFmD5nqDeYeYajF3_0CqBzHrBnbxDiTRL1Ug4Txr68cZ3KnO0C3-Zwq_wEo-VBJMXAsqpuOTb0joeJLp_vAFUqvNSq0IVzxorsWUvN064OmCPfMK07jyFo-Yz22OVpIc=","format":"openai-responses-v1","id":"rs_03d2f85842237912016a6cbfbb97808191b6432cef8191d2da","index":32}]},"finish_reason":null,"native_finish_reason":null}]}

: 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

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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

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbL_T9NbxsvqEUZ2qe7cqd-PdxQHp-r9KbzPqGCL2-fSpGuwEAUH52jQSc_IQy1Ya8OXTsxpyZNZsKOEQymRy8rjhTHZCEAN73t6bIme4pbO4Q6OQRF4-JkcDjWZbUn-NHqcY6NqUZGS3QppL9kue4EO-oA4cZ3kCOtLRwPGuGgf4axxWE5VO6ebB1ePmuL4nkvHow4UFL826H8R6QI3G_8sZli-PIVEmdIkzPPsiu8hqKYc68Mvwyp6s3dkJBMI_lbfq454j8HmrNQCFkY0tYKWFzUE539Pdv9L3BTbOiPfHbjuJPeYAfXS9QRJyyHaYgRGJfAPYenQmZ0avkFX9ZCtRuUOt9SJB5Trtte9ed06zOJEpRrufwOtKbea8QyrPjSgPW-AC9_C0X4PraY_r9qJPberEBgV1r7Hwzzjj_Dht9RCFTyMvzg3cs8Nn_Ugl8lEUBCA1Oy1pnckyHwjUTLFpItMWXu4vUKD7gTS0bnhwibTBU1Of8kBMnL-a-FAEKw9tii3zF5y3Z87GBKfFQtrv4Fq7Tv6NXZp3dwoaU0QyeMS70-xGlVwmw-IpwO2mxpuNM0XGSSXb678_Fg4IUGETdGd0o5fsjOFwQnN2-gPgQqZCWxY9VUya63Mav6gIGBXQKhk-s-pTgmxyHN3A7vBFGu-pf3GwY-gz-NNqIcNQZAT0va9PYVkeuV4WPvkztcmqFNxZKAZd5CRdaSPH5wl1LmjidNRb3act-scoGOx4FgQIEfxkolyu8NiZKXa37jsFoT8UMLEZh9zXjNJYX7w8Q4t8FdwHktFGcFYC76UjYNcCDNSboobRQjA9z6kcRAleW09Eny_ayohz3ubZANxtMz8BZXmsKsmDGwAeiwy-FcpVx8TqK_N-wAevSdGvlX7yB_7kHoSl-dGHFmLudG52NgEJ364S5lV9U0lTTv-VDKx7PC_TgQj8PEWx0cqAGXOOGN7h4PmDtWZL-RK6zGPIde9O2gvuLk6jaWuVPRnSPhmAhCZN-E-BN__wMH5SyXVEsnJ7fneV4Dve8SSbZJ6jEr1ePn7Wk1DIL7Fcy94SUyjzyWWdXvpytcrJ3neaI8CBMIpuibrN2AaQKG-NfVc6G1tLnehJ7Vg6xoTlC6865RYf8HFV_spSl_XKyzt5wcI8hPc-ndSSC_71ZL9bpiCWgHEieO2El6cmFANkq2-CteUDfrf6xB0f_vfLpgHXu0lKpmAZ5Tsrc4ksmSJimMyOZicZ6IKgHNfYJIM23wqfeUt-9SyJ404g72U7ZwmRBesZ71-qaAzh_L5cAuyGsQ8S9Bwm-WTxJXPA0ks_LvpQyPrXqeFr0N1Mns3D9EKwp5uN-6bYb4Al1K8hRbVP_baJk_XBOF_RmGwxHzDXZ9OXGLFsdAaOKXHnBMSnEC2D6ZN6sane7hPoCXI-4ZDTAkm8bnOb130a-GlH3ImFOG9Ct9t_RCZb8iTiudz0PIBn3SNkDW9sqbral_H_C3M5u9c60gKXJD0y2INJm6NBHHWoH0ZdnRxZxgWxCUV5Hn9W56knSyAzHHd5b3Qy__qHnEiORf5uA_IYaTV2xsT33N3R9l80AGKF7WYCBKbSEr3RKMTJM2O611JBN1P-CSooqku_B8taVAUZEXXCjaPxqnA51_VDNFAPiuez7Pw8B2MbmJN7dINiunJnI-0B9J4TEtQhuUQjLh5KKJCi2y6ZKhR9ty6HKBaIj6mPb1uvP-ox1ZvNP5GPi8d0vY2oWf-kdIR9DZOgExKIQ3s3pXHbS5rsOJHwsd3RpKiNr0iPq9wnyau2Y8hRKX8myn7lY4RqnAYqdPwf4BpDjzNBfA17sVYIStECbzb5vfxz8rmt73GXy3yzML_hghnTIB_TigiDhtX1MNsu6ePB_P0-yAfBDW9Gpmcq6Hv4wDBuRxE4bB5skL3zdkycArvreiZm1QqTpGJK3xpwHooItUVz0GezpFIDRr-JwRhkSsUlWHtg2DUBKwyKRE2hLwg69e8WhgV3CDW5Ks3Xuo7hA6bH4cfNcPWVcvFzzW2i4fj98nrixvTrcAsNKKX7YwiB7t9bDSjev68Cs2-HgRFw3CxoN1fts5YzXMYJKqxcgGcCtm6ruN7eHLdpw48ZF86B1O_x0DZPcjl30OVatZKnbF1EqF3cWG7voX1iq8BIVxQ7FDKWFUX2zroCidArb0Khvx4LEn3ErgVr4qgceRq-Fe3UyVV6dXoonSmzb6ftxO2AZvsGLgG4n8WA-58nXbglCELQjkrK9h2n1AXvjYIfAHQbZQk5FFgdTzfMaGaiNdQu2Hsgzooida5DtrhZHDGq-ZBmABCuNu3X5kIQwvNA0NGrKdKAT4k73rJRRQ78PuHqozsu0OoyFpSp1d5-B3HoLgwIm-Pi80RPhs1g105hPwi6F7BDJzpuFzKVRCIvAnDMimddBC9hsgUXrzhMH0XM3cgFT4a9xbixk_6OkYB4wNr82oJTJmsXf1JCNrIAI8o3yvWX5a2wWyJZbCwCOztJZDv5HDyutnVUFkWSeJl1SIhGeNKn6ZB8pCc8OZoHj1ChqIBS_k9bUVw_E5E_ix7Q9vAbX96gdfp5oPEHTolac8jS5sg68Br76ameOl6VkmQJluEhSaJ_8GTKdL52msKF_722lF6BId3pHMNN10fd2lGKjlwxG0UjqUr_dIEVkXYWhh4Rwrd6Hkae_LmsPH0FfuHIVYXwKT1x3sGUdvNngo0NPfuC-ynj2nJFZutPs4ISKCkFunoiti6Yzqj_FigiQjW-Fuh5fgdwbF6XOu_iKAWJoVxaWgqxl4Sawtx_ys3VV9tapmt2799vAXRaT1hSBQDde4SnV_hMNljhMaWtWhG6BY6HAt-fix23TAl-LJgKHUvDrVD0B_ejwfOrEu9N2y6nDpNBAuax0RrsMwRk0q7bB9C-ambV79rZQz9T3SEQsZh65W37uPBZO0d-afm6Zhyvj2JNZIJIPYazT0yL-j0zYZUV1o-m21qYEVU34jLauPWQp0amvslBQ7fp9IV3cxCznx9YjQTZk32JI6xREb_J_AmMf09lJi-zuz1yOYFMIzezNqB9vL97ZCwRWvXB030odnurvGZIoDjL5FzypIQwXpQbX3miBdbO1gDDF0eS61r8FvKmQH3ZwfGsiJWMzuvfe-c9bf5ake-2FcXDX1-a7LLva8e_Tis_tsX8s5_vDsFN0Sxhd3vXm0z9VhP654_t4tF40mr1P5ljKc9CFhnrMtLGv_10_9KqRgcLzH1SoPXhQDZ1UeYMzO74mtS85N8eI9ppJbTpsv8CHLHh9f18JCFmDk33lO0J3m5TdPUH9e29zVyAXUgAPOXhsunFVgLEuVOWvvBZTgxfRW6rZnLZ_8bIgG3G2LLlZhY3hE4G34Xa_MBA_v9iK5Cb2UC5FPP1YY89hcbfkpm8jQRqXk0MHM02WwuZpDeoHcRoUTsuqU4eJqTG1i4XjzXfTqp_BRBp6GQtpL8ql880W14_YJrhMmYgZILDTeE2KSmJo7Qjh-Kcy1YniYSapZhr8BkbBdpyE0X23npdGQ==","format":"openai-responses-v1","id":"rs_03d2f85842237912016a6cbfcfde7c8191ba5cbdce7e0f7c53","index":37}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"chat.completion.chunk","created":1785511767,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbL_ZXO3HuVex4EWndrscJsjrQuve0nnw-4r3rzBh5E3FCo8i4FQHlYeK1th4ejVkrMa2ualQt-hEgVDJTYorz5GRQw2-rVEbCCNelMfXUgO6jy88-jOF5KkWNV6ICdCWQTE1-IoAt66IYMIY3J2bjTJAMMJUs3nImElFjwzRZKe7Yexka8Ex0T4wcQ7VM_WJ9bXw-f83F8yDF-3ID7uCCa7GOO7fwWSmMVcmggRCiARRtFO7uueU27eidJL9DPU0ql1mDPY0BRyvo4TrJzKwmAukaXVmuEF8DQ-C0Abu9uOwe7DUb5mrAallabU1e8DWaa_AyR_ToqgJWsUPG8AaoovGQ6z46oaTufwZ40GUqleXA8X4KxivfKqZ5FWZn4jGlTI1ER7axHP7kZi1UCGEFinLFpfmxkd8vevRpI_ElQ18GGixPlbU87276rAXJPVL4t9KN6m6aoZ2trYj2nzNvOTxs-h2A4ejxit3LiV4FURQhdW7eq6P8b-Z3KUOJ7tyr4BGMbSo6-ee47FTDbYhg0MfbCeBAxMT23eJlKJLNw9__IGblRfvEqc-OUl62aRaseSXTPoS8ZgSIOywfcfgnHyh62ccj3IOF8WsXAJPt2R4hnfjBY39VT8rvQT6PePTa-J2HZGxiUaa2FDHItrBcqLafoE5qaV0RoDMdrq_hBmuDGbswi7HJs87SqZagEXuk77CaPrcvWKccBbMcGn3pojG2KQhuDKwuTbD3zCoYUUQydmYKg_vBc_tJeQuEVR9QTK_UYhDPaDUZf7eN-vzaW3_XXZTVeIO6qRjzOc4zziFFVPBat-mA0j6gGGJmOEEOkNXxou1s6wRUqOBaWO-eV-6U2OmAgycS2VQQhjWgaU-6BmrUlMkCXaBGBDs5y6t9aLLdg9yd3guyfn4c-Y8qrQaHS1ic2lxT9nTjKekrbhuy8qLr21-5kbvFT61WucXYfxUj4yWMBiLzrQIgWZM1xnZq_Z3B2qj25-eiswEn3pr7D9w_7CkTMQamP9J34V_n7m7PaVaj01MnY7PKdPFfX3hcZm2NLtLHLxa7FYkv6y86K_852RSl4fcPfL9GUDjRGXGc5jRke2G9cX84qhaPSWN4Pqvmi0RxG6v5cBfAJtFzZMuIWBBUKaUuNGHZPEas_zcSgKVOG_JhxafSAHgfg2yZtC-4sGNsFDVPkpMpL1FdA0eES1EeV1kcnd_L-vPNcavimzw2w_Glf8Y0EinnT_zuBCmTuDUIMMS7U89Y23UplehXFDDrJqO2wpHdOqHm97zIbso9FUHO82vqluUtIFpBza2QtZLa5fcLK6nxjqTq_71CBeW9o_e-IKPAOvD5chTnrOe-wDcnjTsi3xsIqngCAYTvn0Z0mCtn2OTToClIOtBGA7DvGchLBa8UAztD-mPCOawroJ2Q0PtFNaECnrqlryc2IWUBSNicPcPxlp-XPnF049Rm2ajS5YvGv-HsTOnPkkUmdVkxjtSjV8AhRrHo9CJIOSOTjKEpgrgtmeV-L6mZoCR95ffj6LHvnc-hnieC_v2eO63RzYF8aqa7qgV3wcWjI5-XPRNmq0Xlw6lLX-TBcEgVyk-jsEMR9r8gzIFtqy7m7mRP1_dOiBp1SemRFfv1WHHBFwAb8FvbTNMro0BxTJ-Sv7inubTflqcW9_VT7_F_q65jnVjp8d_zP1CFwvbk37NbwzlLLAASk5wd0E11PyhK3ZeKs1zFPJDYbmg9M7U0uUHSOVXnjb06ayB3VAsKIMr0qtgPm5k5mCwzi52G_R6twnoKMIGdC_Ug3NbzZUoacH-Nl68mZCc8QcAqhndbAwK6i4eDYly5UwlEhGJ80AkNtBD2vS6Kf1M-STHRDtYCek8rrPH9qoTcQJo8eao1RDd7t2BUjwAXLBhmhse7EdI5IoGV9C8w3KpEpPKv_CtgbmWiSGbma6Wdwj_UHypdjsRFH9IkHjACO1osbaok8p-2zdQ3hCtzHkbhDIr7FJGDKgGysCFLDChkg5dRUOzcPGj8g7qcLzOH-PuJS4LwyTVl5gKiELZl2IBYv0ss_Eaiqn_nF957NTWplQh-RQxrX6QluDwBvzDdRmFh52b0k6LX8a7qwLLkJnbaR6yXeSkgZsU9p1wlNwwGu1oqnSfyqONw-zL6BKfqmW6ZSqzW_q68F079w-q17GyEs8lkzx6i_iXT0Zfgc-DRXrpMxTqV1C_8WwNw-gJLyNPuPG5DLf61WEgui9ACjGXWGRyfI1tvcm7Bd0Ys1d2OKItpDQdjl1m2j8n_zKYU5XAix3jcu4_JxmDsEY5h_f15MEzMfkKg_I9v3IOiqhciUw0O7HkZW_U7z7VD7jWOdnI50czYNykk2VasL753Ay_IisCtr8uGEfaiC8jkM-HpR3H3Q1fv-2mqI24aLGglMWf7vTloALF_EkDfor8jJ4lNYperhDP9gKqDBdgfe8badriv0Xcj4uu3yFdDzV24yR4FoC-J2vbxqWLLr1ltt0ZM_-lqfW0b5VGeDY8K8nQB3VSoyqHAkUDqof2moud8FcEgdHuCfVYElInrr1WOTiWF2A09EP5tAN2XYlDYnlXzwRBgUem8Ny1zTNTpJYvKVhMPgYaJ5FBx8wwblyvQ2Aq1Fe75_Cf_AIGMeS0Bxabibf62QJOD_lgjX8grDd5kczM9pUTiew_nwVL0ajAKsIq7bHJV4tecQAOrjUFuPexmallmEuEd_DOAPREgHp_gzPBKQ_sbrFhdNPcuPYAszaPBhsSeVBFlusRIVYfBPu6iF7zJaHWmGZkJzXGwDV5qWlepW3Um2RuUh6jn5HxGFRIHfcnVniOX6c-eFtBJI75shP2vzh47yzTgMsRIPKiaqA9ITGo4pdSp1v6a4RLSoYQto6xmlK_ken5R8YCGXzq_1HKPdXh0aO_Ghqic98YtQ1ry__EJKGbVguFwHFx3HgvNi_e-DDF6ECGxyKPL_eNTAHmsf5keO8VgrXC5mcK7hiuZ_HA3zjzM5Lv6EKWaMnro9A9YJd_UQg3UHmoLItAsUFN1E_aVHs0f-L07mDDCJA5Us5G_XIp9gCT14hv72ZCne4ghV0UEpaopLFnCLyhjG-4U1J3U8oDNtOKWLI2rkibKlD1HC9tGFTBkHjaL3fbCDb7kLTYq4FgyQ199o5PzrU_7_rmjJPrlLkjBOb_Mqjs7SQztXRqCm4eF3aw1wTAksG1iwvR2unaHIR2MkrhYnTT9tv0NGaK8deTQ_wpUflLINlosy8trsLZCivvp1kZhdQFZTQPSnqUWWjIQChr5ORADwmoqNX25ML2Qz9gwZLRjp0LNB6uOrunJ29iN2EGiQ2ldXS9uvZG-sZEpFHYnJ89BEiKJv8LJZVkertNpo809yQfQ3nMZlqg_-qS9UlY_M6a96j1X53N-U04BzZi6QehvJ9trKB1fBSt3vwjGzsyG__YOOJ897batBwUsgeSGyVbKFQumgOG_qnaSF3kAm_F8fUo-ttkb9B5GEkujC7ZZs53kSrpRorqi8gzGdAP4VLC","format":"openai-responses-v1","id":"rs_03d2f85842237912016a6cbfd3e5008191a0f118d0998a65b4","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

: 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

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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data: {"id":"gen-1785511767-YPTKlJIirVtnAvKmjqJQ","object":"c

import bpy, math, os, shutil
from mathutils import Vector
from math import sin, cos, pi

# -----------------------------
# Clean scene and setup helpers
# -----------------------------
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
# Remove old custom collections while preserving the master scene collection
for c in list(bpy.data.collections):
    if c.users == 0:
        bpy.data.collections.remove(c)

def make_collection(name):
    c = bpy.data.collections.get(name) or bpy.data.collections.new(name)
    if c.name not in [ch.name for ch in scene.collection.children]:
        scene.collection.children.link(c)
    return c

COL_STUDIO = make_collection('STUDIO')
COL_BASE = make_collection('BASE_ASSEMBLY')
COL_JOINTS = make_collection('PRECISION_JOINTS')
COL_STRUTS = make_collection('TOPOLOGY_OPTIMIZED_STRUTS')
COL_TOOL = make_collection('PARALLEL_GRIPPER')
COL_PROPS = make_collection('DESK_OBJECTS')
COL_LIGHTS = make_collection('LIGHTING_RIG')
COL_GRAPHICS = make_collection('DESIGN_GRAPHICS')

def link_to(obj, coll):
    for c in list(obj.users_collection):
        c.objects.unlink(obj)
    coll.objects.link(obj)
    return obj

def add_mat(name, color, metallic=0.0, roughness=0.35, transmission=0.0, alpha=1.0, emission=None):
    m = bpy.data.materials.get(name) or bpy.data.materials.new(name)
    m.use_nodes = True
    bsdf = m.node_tree.nodes.get('Principled BSDF')
    if bsdf:
        if bsdf.inputs.get('Base Color'): bsdf.inputs['Base Color'].default_value = (*color, 1.0)
        if bsdf.inputs.get('Metallic'): bsdf.inputs['Metallic'].default_value = metallic
        if bsdf.inputs.get('Roughness'): bsdf.inputs['Roughness'].default_value = roughness
        if bsdf.inputs.get('Transmission Weight'): bsdf.inputs['Transmission Weight'].default_value = transmission
        elif bsdf.inputs.get('Transmission'): bsdf.inputs['Transmission'].default_value = transmission
        if bsdf.inputs.get('Alpha'): bsdf.inputs['Alpha'].default_value = alpha
        if emission is not None:
            if bsdf.inputs.get('Emission Color'): bsdf.inputs['Emission Color'].default_value = (*emission, 1.0)
            elif bsdf.inputs.get('Emission'): bsdf.inputs['Emission'].default_value = (*emission, 1.0)
            if bsdf.inputs.get('Emission Strength'): bsdf.inputs['Emission Strength'].default_value = 0.35
    m.diffuse_color = (*color, alpha)
    # Blender 4.x uses surface_render_method for transparent materials; keep this guarded for portability.
    if alpha < 1.0:
        try: m.surface_render_method = 'DITHERED'
        except Exception: pass
        try: m.use_transparency_overlap = False
        except Exception: pass
    return m

MAT = {
    'desk': add_mat('Desk | warm neutral laminate', (0.30,0.33,0.36), metallic=0.05, roughness=0.30),
    'desk_edge': add_mat('Desk | edge graphite', (0.045,0.055,0.07), metallic=0.55, roughness=0.25),
    'wall': add_mat('Studio | neutral backdrop', (0.16,0.19,0.23), metallic=0.0, roughness=0.42),
    'base': add_mat('Base | graphite anodized', (0.025,0.043,0.065), metallic=0.78, roughness=0.22),
    'base2': add_mat('Base | satin navy housing', (0.045,0.11,0.15), metallic=0.65, roughness=0.24),
    'titanium': add_mat('Struts | topology titanium', (0.38,0.48,0.53), metallic=0.88, roughness=0.19),
    'titanium_dark': add_mat('Struts | shadow titanium', (0.08,0.16,0.19), metallic=0.83, roughness=0.22),
    'aluminum': add_mat('Joints | machined aluminum', (0.53,0.61,0.65), metallic=0.92, roughness=0.16),
    'steel': add_mat('Joints | dark precision steel', (0.035,0.055,0.072), metallic=0.9, roughness=0.20),
    'accent': add_mat('Accent | cyan calibration', (0.015,0.34,0.43), metallic=0.58, roughness=0.17),
    'accent2': add_mat('Accent | soft cyan edge', (0.03,0.55,0.62), metallic=0.35, roughness=0.20),
    'black': add_mat('Cables | controlled black', (0.003,0.006,0.009), metallic=0.22, roughness=0.28),
    'rubber': add_mat('Gripper | contact rubber', (0.008,0.012,0.016), metallic=0.1, roughness=0.35),
    'orange': add_mat('Test object | anodized orange', (0.78,0.15,0.025), metallic=0.68, roughness=0.22),
    'orange_dark': add_mat('Test object | shadow orange', (0.22,0.025,0.008), metallic=0.55, roughness=0.26),
    'membrane': add_mat('Technical membrane | translucent TPU', (0.03,0.33,0.41), metallic=0.08, roughness=0.13, transmission=0.42, alpha=0.42),
    'label': add_mat('Markings | cool white', (0.62,0.83,0.86), metallic=0.35, roughness=0.2, emission=(0.18,0.45,0.5)),
}

def set_smooth(obj):
    if hasattr(obj.data, 'polygons'):
        for p in obj.data.polygons:
            p.use_smooth = True

def bevel(obj, width=0.04, segments=3, angle=0.5):
    if width <= 0: return
    mod = obj.modifiers.new('Precision edge radii', 'BEVEL')
    mod.width = width
    mod.segments = segments
    mod.limit_method = 'ANGLE'
    mod.angle_limit = angle
    mod.harden_normals = True

def add_box(name, loc, dims, mat, bevel_width=0.04, rotation=None, coll=COL_STUDIO):
    bpy.ops.mesh.primitive_cube_add(size=1, location=loc)
    o = bpy.context.object
    o.name = name
    o.dimensions = dims
    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)
    if rotation is not None:
        o.rotation_mode = 'QUATERNION'
        o.rotation_quaternion = rotation
    if mat: o.data.materials.append(mat)
    bevel(o, bevel_width, 3)
    set_smooth(o)
    link_to(o, coll)
    return o

def quat_z_to(direction):
    d = Vector(direction).normalized()
    return Vector((0,0,1)).rotation_difference(d)

def add_cyl(name, loc, radius, depth, mat, direction=(0,0,1), vertices=48, bevel_width=0.025, coll=COL_STUDIO):
    d = Vector(direction).normalized()
    bpy.ops.mesh.primitive_cylinder_add(vertices=vertices, radius=radius, depth=depth, location=Vector(loc))
    o = bpy.context.object
    o.name = name
    o.rotation_mode = 'QUATERNION'
    o.rotation_quaternion = quat_z_to(d)
    if mat: o.data.materials.append(mat)
    bevel(o, bevel_width, 3)
    set_smooth(o)
    link_to(o, coll)
    return o

def add_uv(name, loc, radius, mat, scale=(1,1,1), coll=COL_STUDIO):
    bpy.ops.mesh.primitive_uv_sphere_add(segments=32, ring_count=16, radius=radius, location=Vector(loc))
    o = bpy.context.object
    o.name = name
    o.scale = scale
    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)
    if mat: o.data.materials.append(mat)
    set_smooth(o)
    link_to(o, coll)
    return o

def add_torus(name, loc, major, minor, mat, direction=(0,0,1), coll=COL_STUDIO):
    bpy.ops.mesh.primitive_torus_add(major_radius=major, minor_radius=minor, major_segments=64, minor_segments=16, location=Vector(loc))
    o = bpy.context.object
    o.name = name
    o.rotation_mode = 'QUATERNION'
    o.rotation_quaternion = quat_z_to(direction)
    if mat: o.data.materials.append(mat)
    set_smooth(o)
    link_to(o, coll)
    return o

def tube_path(name, points, radii, mat, sides=14, coll=COL_STRUTS):
    pts = [Vector(p) for p in points]
    if len(pts) < 2: return None
    if len(radii) == 1: radii = list(radii)*len(pts)
    verts=[]; faces=[]
    for i,p in enumerate(pts):
        if i == 0: tangent = (pts[1]-p).normalized()
        elif i == len(pts)-1: tangent = (p-pts[i-1]).normalized()
        else: tangent = (pts[i+1]-pts[i-1]).normalized()
        ref = Vector((0,1,0))
        if abs(tangent.dot(ref)) > 0.92: ref = Vector((0,0,1))
        e2 = ref.cross(tangent).normalized()
        e3 = tangent.cross(e2).normalized()
        r = radii[i]
        for j in range(sides):
            a = 2*pi*j/sides
            q = p + r*(cos(a)*e2 + sin(a)*e3)
            verts.append(tuple(q))
    for i in range(len(pts)-1):
        for j in range(sides):
            a=i*sides+j; b=i*sides+(j+1)%sides; c=(i+1)*sides+(j+1)%sides; d=(i+1)*sides+j
            faces.append((a,b,c,d))
    # capped ends
    start_idx=len(verts); verts.append(tuple(pts[0]))
    end_idx=len(verts); verts.append(tuple(pts[-1]))
    for j in range(sides):
        faces.append((start_idx, (j+1)%sides, j))
        a=(len(pts)-1)*sides+j; b=(len(pts)-1)*sides+(j+1)%sides
        faces.append((end_idx, a, b))
    mesh=bpy.data.meshes.new(name+' | mesh')
    mesh.from_pydata(verts, [], faces); mesh.update()
    o=bpy.data.objects.new(name, mesh); coll.objects.link(o)
    if mat: mesh.materials.append(mat)
    set_smooth(o)
    return o

def add_cyl_between(name, p1, p2, radius, mat, vertices=24, bevel_width=0.018, coll=COL_STUDIO):
    a=Vector(p1); b=Vector(p2); d=b-a
    return add_cyl(name, (a+b)/2, radius, d.length, mat, d, vertices, bevel_width, coll)

def point_frame(p0, p1):
    p0=Vector(p0); p1=Vector(p1); d=(p1-p0).normalized()
    depth=Vector((0,1,0))
    if abs(d.dot(depth)) > 0.92: depth=Vector((0,0,1))
    width=depth.cross(d).normalized()
    depth=d.cross(width).normalized()
    return p0,d,width,depth,(p1-p0).length

# -----------------------------
# Topology-optimized link builder
# -----------------------------
def organic_strut(name, p0, p1, half_width=0.28, front_membrane=False, variant=0):
    p0,d,eW,eD,L = point_frame(p0,p1)
    def P(t,w=0,dep=0):
        return p0 + d*(L*t) + eW*w + eD*dep
    # sculpted rail profile: narrow roots, full section in the load span
    ts=[0.18,0.30,0.48,0.68,0.82]
    ws=[half_width*0.54, half_width*0.91, half_width*1.02, half_width*0.86, half_width*0.48]
    rr=[0.105,0.125,0.135,0.12,0.095]
    for depth_sign, label in [(-1,'front'),(1,'rear')]:
        dep=depth_sign*0.125
        tube_path(name+' | '+label+' upper load rail', [P(t,w,dep) for t,w in zip(ts,ws)], rr, MAT['titanium'], 16)
        tube_path(name+' | '+label+' lower load rail', [P(t,-w,dep) for t,w in zip(ts,ws)], rr, MAT['titanium'], 16)
        # Short end diaphragms keep the organic frame a real box section.
        tube_path(name+' | '+label+' root diaphragm', [P(.18,-ws[0],dep), P(.18,ws[0],dep)], [0.083,0.083], MAT['titanium'], 14)
        tube_path(name+' | '+label+' tip diaphragm', [P(.82,-ws[-1],dep), P(.82,ws[-1],dep)], [0.072,0.072], MAT['titanium'], 14)
    # Visible branching web: asymmetric diagonals create two large purposeful voids.
    front=-0.145
    tube_path(name+' | branching web A', [P(.22,ws[1]*.82,front), P(.49,-ws[2]*.92,front), P(.67,-ws[3]*.55,front)], [0.088,0.102,0.072], MAT['titanium_dark'], 14)
    tube_path(name+' | branching web B', [P(.28,-ws[1]*.68,front), P(.53,ws[2]*.92,front), P(.77,ws[3]*.62,front)], [0.075,0.095,0.064], MAT['accent'], 14)
    # Subtle rear diagonal, visible on orbit.
    rear=0.145
    tube_path(name+' | rear load branch', [P(.25,-ws[1]*.76,rear), P(.58,ws[2]*.82,rear), P(.76,-ws[3]*.45,rear)], [0.065,0.082,0.055], MAT['titanium_dark'], 13)
    # Root and tip Y-transitions: load flows from a solid interface into the open frame.
    tube_path(name+' | root upper transition', [P(.105,0,0), P(.19,ws[0]*.82,0)], [0.145,0.095], MAT['titanium'], 15)
    tube_path(name+' | root lower transition', [P(.105,0,0), P(.19,-ws[0]*.82,0)], [0.145,0.095], MAT['titanium'], 15)
    tube_path(name+' | tip upper transition', [P(.81,ws[-1]*.82,0), P(.895,0,0)], [0.09,0.14], MAT['titanium'], 15)
    tube_path(name+' | tip lower transition', [P(.81,-ws[-1]*.82,0), P(.895,0,0)], [0.09,0.14], MAT['titanium'], 15)
    # Depth ties are sparse, rather than a decorative repeated lattice.
    for k,t in enumerate((.34,.68)):
        w=half_width*(0.96 if t<.5 else .84)
        add_cyl_between(name+f' | depth tie {k+1} upper', P(t,w,-.12), P(t,w,.12), .045, MAT['titanium_dark'], 16, .01, COL_STRUTS)
        add_cyl_between(name+f' | depth tie {k+1} lower', P(t,-w,-.12), P(t,-w,.12), .045, MAT['titanium_dark'], 16, .01, COL_STRUTS)
    # Smooth node enlargements at branch roots make the topology feel grown, not bolted-on.
    for k,(t,w) in enumerate(((.30,ws[1]),(.48,-ws[2]),(.53,ws[2]),(.68,-ws[3]))):
        add_uv(name+f' | organic node {k+1}', P(t,w,front), .105, MAT['titanium'], scale=(1.10,0.88,1.0), coll=COL_STRUTS)
    # One restrained tensioned membrane panel. It occupies only one bay and leaves the rest open.
    if front_membrane:
        t0=.33; t1=.60
        w0=half_width*.80; w1=half_width*.93
        verts=[tuple(P(t0,-w0,-.16)), tuple(P(t1,-w1,-.16)), tuple(P(t1,w1,-.16)), tuple(P(t0,w0,-.16))]
        mesh=bpy.data.meshes.new(name+' | membrane mesh')
        mesh.from_pydata(verts, [], [(0,1,2,3)]); mesh.update()
        panel=bpy.data.objects.new(name+' | restrained TPU membrane', mesh); COL_STRUTS.objects.link(panel)
        mesh.materials.append(MAT['membrane'])
        # a very fine perimeter seam, integrated close to the frame
        tube_path(name+' | membrane upper seam', [P(t0,w0,-.165),P((t0+t1)/2,half_width*.90,-.165),P(t1,w1,-.165)], [0.018,0.018,0.018], MAT['accent2'], 8)
        tube_path(name+' | membrane lower seam', [P(t0,-w0,-.165),P((t0+t1)/2,-half_width*.90,-.165),P(t1,-w1,-.165)], [0.018,0.018,0.018], MAT['accent2'], 8)
    return {'p0':Vector(p0),'p1':Vector(p1),'d':d,'L':L}

# -----------------------------
# Studio desk and backdrop
# -----------------------------
add_box('Desk | seamless worktop', (1.8,0,-0.20), (12.0,7.2,0.40), MAT['desk'], 0.14, coll=COL_STUDIO)
add_box('Desk | front structural edge', (1.8,-3.53,-0.42), (12.0,0.16,0.52), MAT['desk_edge'], 0.035, coll=COL_STUDIO)
add_box('Studio | rear wall', (1.8,3.55,3.9), (12.0,0.28,8.2), MAT['wall'], 0.12, coll=COL_STUDIO)
# a dark inset service mat gives the base a believable replaceable mounting surface
add_box('Base | replaceable service mat', (0.0,0.0,0.035), (2.85,2.35,0.065), MAT['steel'], 0.08, coll=COL_BASE)

# -----------------------------
# Base: stable mechanical assembly with hardware
# -----------------------------
add_box('Base | machined footprint plate', (0,0,0.19), (2.35,1.85,0.30), MAT['base'], 0.11, coll=COL_BASE)
add_box('Base | upper mounting plate', (0,0,0.385), (1.86,1.43,0.12), MAT['aluminum'], 0.055, coll=COL_BASE)
# mounting washers, socket heads, and subtle contrasting bolt centers
for i,(x,y) in enumerate(((-.84,-.61),(.84,-.61),(-.84,.61),(.84,.61))):
    add_cyl(f'Base | washer {i+1}', (x,y,0.48), .125, .035, MAT['steel'], (0,0,1), 48, .008, COL_BASE)
    add_cyl(f'Base | mounting socket {i+1}', (x,y,0.535), .064, .095, MAT['aluminum'], (0,0,1), 6, .008, COL_BASE)
    add_cyl(f'Base | socket insert {i+1}', (x,y,0.592), .028, .012, MAT['black'], (0,0,1), 32, .003, COL_BASE)
# rotating platform and bearing ring
add_cyl('Base | rotating platform drum', (0,0,0.62), .76, .34, MAT['base2'], (0,0,1), 64, .045, COL_BASE)
add_cyl('Base | rotating platform top', (0,0,0.805), .62, .075, MAT['aluminum'], (0,0,1), 64, .025, COL_BASE)
add_torus('Base | exposed bearing race', (0,0,0.86), .565, .042, MAT['accent'], (0,0,1), COL_BASE)
add_torus('Base | lower seam', (0,0,0.47), .69, .026, MAT['steel'], (0,0,1), COL_BASE)
add_cyl('Base | central rotary shaft', (0,0,0.91), .18, .16, MAT['steel'], (0,0,1), 48, .018, COL_BASE)
add_cyl('Base | rotary shaft cap', (0,0,1.015), .13, .055, MAT['accent'], (0,0,1), 48, .012, COL_BASE)
# fixed vertical pedestal
add_cyl('Base | vertical pedestal', (0,0,1.43), .39, 1.02, MAT['base2'], (0,0,1), 64, .05, COL_BASE)
add_torus('Base | pedestal lower collar', (0,0,0.98), .36, .045, MAT['aluminum'], (0,0,1), COL_BASE)
add_torus('Base | pedestal upper collar', (0,0,1.91), .35, .042, MAT['accent'], (0,0,1), COL_BASE)
# two clean side cover plates on the pedestal
add_box('Base | left service cover', (-.355,-.02,1.48), (.06,.52,.52), MAT['steel'], .025, coll=COL_BASE)
add_box('Base | right service cover', (.355,-.02,1.48), (.06,.52,.52), MAT['steel'], .025, coll=COL_BASE)

# -----------------------------
# Articulated layout
# -----------------------------
J0=Vector((0,0,0.92))
J1=Vector((0,0,2.10))
J2=Vector((1.78,0.02,3.48))
J3=Vector((3.42,-0.01,2.42))
J4=Vector((4.13,-0.10,1.86))

# Shoulder and upper joint mechanical body
# Axis y makes the pitch axes obvious from the presentation angle.
def rotary_joint(name, center, axis, radius, depth, body_mat, face_mat, accent_mat, bolt_count=6, coll=COL_JOINTS):
    c=Vector(center); a=Vector(axis).normalized()
    add_cyl(name+' | cylindrical gearbox', c, radius, depth, body_mat, a, 64, .035, coll)
    front=c-a*(depth/2+0.018)
    back=c+a*(depth/2+0.018)
    add_cyl(name+' | front machined flange', front, radius*.82, .075, face_mat, a, 64, .018, coll)
    add_cyl(name+' | rear cover', back, radius*.78, .07, body_mat, a, 64, .018, coll)
    add_torus(name+' | flange retaining ring', front-a*.045, radius*.69, .032, accent_mat, a, coll)
    add_cyl(name+' | visible axis hub', front-a*.06, radius*.26, .11, accent_mat, a, 48, .014, coll)
    # bolt circle in the flange plane
    b1=Vector((1,0,0))
    if abs(a.dot(b1))>.92: b1=Vector((0,1,0))
    b1=(b1-a*b1.dot(a)).normalized(); b2=a.cross(b1).normalized()
    for i in range(bolt_count):
        ang=2*pi*i/bolt_count
        pos=front-a*.052 + (b1*cos(ang)+b2*sin(ang))*(radius*.61)
        add_cyl(name+f' | flange bolt {i+1}', pos, radius*.065, .095, MAT['black'], a, 20, .008, coll)
    return c,a

rotary_joint('Shoulder J1',J1,(0,1,0),.46,.78,MAT['steel'],MAT['aluminum'],MAT['accent'],6)
# compact actuator cover mounted behind the shoulder, not part of the generative link
add_box('Shoulder J1 | servo cover', (-.24,0.34,2.23), (.62,.34,.68), MAT['base2'], .10, coll=COL_JOINTS)
add_cyl('Shoulder J1 | actuator end cap', (-.24,0.16,2.23), .17, .08, MAT['accent'], (0,1,0), 48, .012, COL_JOINTS)

# Organic structural links: only these elongated members use branching topology.
S1=organic_strut('Link 1 | upper arm optimized member',J1,J2,.31,front_membrane=True,variant=0)
rotary_joint('Elbow J2',J2,(0,1,0),.40,.72,MAT['steel'],MAT['aluminum'],MAT['accent2'],6)
# elbow clevis / gearbox block on the visible side
add_box('Elbow J2 | actuator module', (1.78,-.39,3.62), (.54,.25,.46), MAT['base2'], .075, coll=COL_JOINTS)
add_cyl('Elbow J2 | actuator face', (1.78,-.535,3.62), .13, .055, MAT['accent'], (0,1,0), 48, .01, COL_JOINTS)

S2=organic_strut('Link 2 | forearm optimized member',J2,J3,.275,front_membrane=False,variant=1)
rotary_joint('Wrist Pitch J3',J3,(0,1,0),.32,.60,MAT['steel'],MAT['aluminum'],MAT['accent2'],6)
add_box('Wrist J3 | compact gearbox', (3.42,-.34,2.53), (.40,.22,.34), MAT['base2'], .06, coll=COL_JOINTS)
add_cyl('Wrist J3 | actuator face', (3.42,-.47,2.53), .095, .05, MAT['accent'], (0,1,0), 40, .008, COL_JOINTS)

S3=organic_strut('Link 3 | wrist optimized member',J3,J4,.205,front_membrane=False,variant=2)
# Wrist roll axis follows the terminal link, a believable tool-roll joint.
tool_axis=(J4-J3).normalized()
rotary_joint('Wrist Roll J4',J4,tool_axis,.245,.52,MAT['steel'],MAT['aluminum'],MAT['accent'],5)
# Replaceable interface plate at tool side of roll joint
iface_center=J4+tool_axis*.31
add_cyl('Tool interface | replaceable plate', iface_center, .23, .095, MAT['aluminum'], tool_axis, 64, .018, COL_JOINTS)
add_torus('Tool interface | retaining ring', iface_center+tool_axis*.055, .18, .022, MAT['accent2'], tool_axis, COL_JOINTS)
# Interface plate fasteners (four visible countersunk-style heads)
b1=Vector((0,1,0))
if abs(b1.dot(tool_axis))>.9: b1=Vector((1,0,0))
b1=(b1-tool_axis*b1.dot(tool_axis)).normalized(); b2=tool_axis.cross(b1).normalized()
for i in range(4):
    ang=pi/4 + i*pi/2
    pos=iface_center+tool_axis*.065+(b1*cos(ang)+b2*sin(ang))*.145
    add_cyl(f'Tool interface | fastener {i+1}',pos,.026,.055,MAT['black'],tool_axis,20,.005,COL_JOINTS)

# -----------------------------
# Minimal controlled cable routing
# -----------------------------
# One restrained cable stays close to the rear/underside of the members.
def cable_point(Pfun,t,offset):
    return Pfun(t,offset[0],offset[1])
# Build cable paths alongside each link with small molded clamps.
def add_link_cable(name,p0,p1,offset_w,offset_d):
    p0,d,eW,eD,L=point_frame(p0,p1)
    pts=[]
    for t in (.12,.34,.58,.80,.91):
        pts.append(p0+d*(L*t)+eW*offset_w+eD*offset_d)
    tube_path(name,pts,[.026]*len(pts),MAT['black'],10,COL_JOINTS)
    for i,t in enumerate((.34,.80)):
        pos=pts[1] if i==0 else pts[3]
        add_torus(name+f' | molded clamp {i+1}',pos,.055,.018,MAT['black'],d,COL_JOINTS)
add_link_cable('Cable route | upper arm',J1,J2,-.22,-.18)
add_link_cable('Cable route | forearm',J2,J3,-.20,-.18)
add_link_cable('Cable route | wrist',J3,J4,-.15,-.17)
# short protected loop at the tool interface
cable_pts=[J4-tool_axis*.18+Vector((0,-.18,.03)), J4+tool_axis*.05+Vector((0,-.19,.04)), iface_center-tool_axis*.08+Vector((0,-.17,.02))]
tube_path('Cable route | wrist-to-tool protected loop',cable_pts,[.024,.024,.022],MAT['black'],10,COL_JOINTS)

# -----------------------------
# Refined two-finger parallel gripper
# -----------------------------
tool_dir=tool_axis
# Keep the opening axis nearly horizontal for a readable parallel-jaw silhouette.
open_dir=Vector((1,0,0))
# make open_dir perpendicular enough to tool direction
open_dir=(open_dir-tool_dir*open_dir.dot(tool_dir)).normalized()
depth_dir=tool_dir.cross(open_dir).normalized()
# A mount neck between replaceable interface and gripper body
neck_center=iface_center+tool_dir*.22
add_cyl('Gripper | mount neck',neck_center,.12,.38,MAT['steel'],tool_dir,48,.018,COL_TOOL)
body_center=iface_center+tool_dir*.47
rot=quat_z_to(tool_dir)
add_box('Gripper | compact parallel jaw body',body_center,(.72,.30,.20),MAT['aluminum'],.055,rotation=rot,coll=COL_TOOL)
# rear motor block / lead screw cover
add_box('Gripper | lead-screw actuator',body_center-tool_dir*.14+depth_dir*.015,(.38,.28,.24),MAT['base2'],.05,rotation=rot,coll=COL_TOOL)
add_cyl('Gripper | actuator spindle',body_center-tool_dir*.22,.07,.28,MAT['accent'],tool_dir,40,.012,COL_TOOL)
# two solid fingers with visible pivot bosses and replaceable pads
for side,sgn in enumerate((-1,1),1):
    jaw_center=body_center+open_dir*(sgn*.235)+tool_dir*.28
    add_box(f'Gripper | solid finger {side}',jaw_center,(.145,.22,.53),MAT['titanium'],.035,rotation=rot,coll=COL_TOOL)
    # front-facing pivot boss near root; depth direction is roughly y/front
    piv=body_center+open_dir*(sgn*.235)+depth_dir*.145+tool_dir*.08
    add_cyl(f'Gripper | finger pivot {side}',piv,.055,.06,MAT['accent2'],depth_dir,32,.008,COL_TOOL)
    add_cyl(f'Gripper | pivot socket {side}',piv+depth_dir*.035,.022,.018,MAT['black'],depth_dir,24,.003,COL_TOOL)
    pad_center=body_center+open_dir*(sgn*.235)+tool_dir*.585
    add_box(f'Gripper | replaceable contact pad {side}',pad_center,(.18,.24,.105),MAT['rubber'],.022,rotation=rot,coll=COL_TOOL)
    # small cyan pad insert on inner jaw face
    insert_center=pad_center-open_dir*(sgn*.082)
    add_box(f'Gripper | pad insert {side}',insert_center,(.018,.18,.07),MAT['accent'],.008,rotation=rot,coll=COL_TOOL)
# crossbar at jaw roots reinforces parallel motion
add_cyl_between('Gripper | jaw guide rail',body_center-open_dir*.29,body_center+open_dir*.29,.045,MAT['steel'],24,.01,COL_TOOL)

# -----------------------------
# Small machined calibration object on desk
# -----------------------------
obj=Vector((4.22,-0.76,0.0))
add_cyl('Target | replaceable rubber locator',obj+Vector((0,0,.055)),.34,.10,MAT['black'],(0,0,1),64,.018,COL_PROPS)
add_cyl('Target | machined calibration puck',obj+Vector((0,0,.22)),.245,.33,MAT['orange'],(0,0,1),64,.035,COL_PROPS)
add_torus('Target | lower precision groove',obj+Vector((0,0,.095)),.235,.018,MAT['orange_dark'],(0,0,1),COL_PROPS)
add_torus('Target | upper precision groove',obj+Vector((0,0,.355)),.195,.016,MAT['aluminum'],(0,0,1),COL_PROPS)
add_cyl('Target | top insert',obj+Vector((0,0,.405)),.145,.055,MAT['aluminum'],(0,0,1),48,.012,COL_PROPS)
add_cyl('Target | top datum button',obj+Vector((0,0,.45)),.052,.035,MAT['accent'],(0,0,1),40,.008,COL_PROPS)
# a restrained target-zone ring on the worktop
add_torus('Target | placement datum ring',obj+Vector((0,0,.026)),.43,.012,MAT['accent'],(0,0,1),COL_PROPS)

# -----------------------------
# Small design label on front of base
# -----------------------------
def add_label(name, body, loc, size, mat, coll=COL_GRAPHICS):
    cu=bpy.data.curves.new(name+' | curve','FONT')
    cu.body=body; cu.align_x='CENTER'; cu.align_y='CENTER'; cu.size=size; cu.extrude=.004; cu.bevel_depth=.0015; cu.resolution_u=8
    ob=bpy.data.objects.new(name,cu); coll.objects.link(ob); ob.location=loc; ob.rotation_euler=(pi/2,0,0)
    cu.materials.append(mat)
    # Convert for reliable GLB inspection.
    bpy.context.view_layer.objects.active=ob; ob.select_set(True)
    try: bpy.ops.object.convert(target='MESH')
    except Exception: pass
    ob.select_set(False)
    return ob
add_label('Base marking | GEN-04', 'GEN-04', (0,-.952,.22), .22, MAT['label'])
add_label('Base marking | TOPOLOGY RESEARCH', 'TOPOLOGY / 04', (0,-.954,.13), .095, MAT['label'])

# -----------------------------
# Camera and premium studio lighting
# -----------------------------
def look_at(obj, target):
    direction=Vector(target)-obj.location
    obj.rotation_euler=direction.to_track_quat('-Z','Y').to_euler()

def add_area(name, loc, energy, size, color, target):
    data=bpy.data.lights.new(name,'AREA'); data.energy=energy; data.shape='DISK'; data.size=size; data.color=color
    ob=bpy.data.objects.new(name,data); COL_LIGHTS.objects.link(ob); ob.location=loc; look_at(ob,target)
    return ob

def add_point(name, loc, energy, color):
    data=bpy.data.lights.new(name,'POINT'); data.energy=energy; data.color=color; data.shadow_soft_size=.25
    ob=bpy.data.objects.new(name,data); COL_LIGHTS.objects.link(ob); ob.location=loc
    return ob

# Large soft key, cool fill, and a rim that catches the optimized rails.
add_area('Key | large softbox', (2.2,-5.8,9.5), 1150, 5.0, (1.0,.88,.76), (1.7,0,2.0))
add_area('Fill | cool studio card', (-5.0,-2.8,5.4), 850, 4.0, (.62,.78,1.0), (1.3,0,2.2))
add_area('Rim | cyan edge light', (3.8,4.8,7.0), 1350, 3.2, (.43,.75,1.0), (2.4,0,2.2))
add_area('Top | controlled highlight', (7.0,-.5,10.5), 900, 3.0, (1.0,1.0,1.0), (2.2,0,1.8))
add_point('Object | small focus light', (4.2,-1.8,3.1), 80, (1.0,.35,.12))

bpy.ops.object.camera_add(location=(9.0,-14.5,7.4))
cam=bpy.context.object; cam.name='Presentation Camera | 3/4 product view'; cam.data.lens=55; cam.data.sensor_width=36
look_at(cam,(1.95,-0.05,2.12)); scene.camera=cam; link_to(cam,COL_LIGHTS)

# Render and color management: final benchmark will override resolution and engine, but the saved scene is Cycles-ready.
scene.render.engine='BLENDER_EEVEE_NEXT'
scene.render.resolution_x=1536; scene.render.resolution_y=1536; scene.render.resolution_percentage=100
scene.render.image_settings.file_format='PNG'
scene.render.film_transparent=False
scene.render.image_settings.color_mode='RGBA'
scene.world.color=(0.018,0.024,0.035)
if scene.world.use_nodes:
    bg=scene.world.node_tree.nodes.get('Background')
    if bg:
        bg.inputs['Color'].default_value=(0.018,0.024,0.035,1)
        bg.inputs['Strength'].default_value=.32
try: scene.view_settings.look='AgX - Medium High Contrast'
except Exception: pass
# Cycles final settings are stored in the blend; use Eevee only for the quick construction preview below.
scene['design_notes']='Experimental desk-mounted research arm: open topology-optimized struts are restricted to the three elongated links; all joints, base, wrist and gripper are conventional precision assemblies.'
scene['joint_count']=5
scene['presentation']='3/4 studio product view toward a machined calibration puck'

# Save a complete scene to the shared output path.
out='/home/oai/share/robotic_arm_topology_lab.blend'
os.makedirs(os.path.dirname(out), exist_ok=True)
bpy.ops.wm.save_as_mainfile(filepath=out)

# Quick preview render in Eevee for composition; final file will be switched to Cycles after preview.
scene.render.resolution_x=720; scene.render.resolution_y=720; scene.render.resolution_percentage=100
scene.render.filepath='/home/oai/share/robotic_arm_preview.png'
bpy.ops.render.render(write_still=True)
# Restore benchmark-facing resolution and Cycles configuration before final save.
scene.render.resolution_x=1536; scene.render.resolution_y=1536; scene.render.resolution_percentage=100
try:
    scene.render.engine='CYCLES'
    scene.cycles.samples=64
    scene.cycles.use_denoising=True
    scene.cycles.max_bounces=8
except Exception:
    pass
bpy.ops.wm.save_as_mainfile(filepath=out)

result={'objects':len(bpy.data.objects),'meshes':len(bpy.data.meshes),'materials':len(bpy.data.materials),'camera':cam.name,'blend':out,'preview':'/home/oai/share/robotic_arm_preview.png'}

{"code":"import bpy, math, os, shutil\nfrom mathutils import Vector\nfrom math import sin, cos, pi\n\n# -----------------------------\n# Clean scene and setup helpers\n# -----------------------------\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\n# Remove old custom collections while preserving the master scene collection\nfor c in list(bpy.data.collections):\n    if c.users == 0:\n        bpy.data.collections.remove(c)\n\ndef make_collection(name):\n    c = bpy.data.collections.get(name) or bpy.data.collections.new(name)\n    if c.name not in [ch.name for ch in scene.collection.children]:\n        scene.collection.children.link(c)\n    return c\n\nCOL_STUDIO = make_collection('STUDIO')\nCOL_BASE = make_collection('BASE_ASSEMBLY')\nCOL_JOINTS = make_collection('PRECISION_JOINTS')\nCOL_STRUTS = make_collection('TOPOLOGY_OPTIMIZED_STRUTS')\nCOL_TOOL = make_collection('PARALLEL_GRIPPER')\nCOL_PROPS = make_collection('DESK_OBJECTS')\nCOL_LIGHTS = make_collection('LIGHTING_RIG')\nCOL_GRAPHICS = make_collection('DESIGN_GRAPHICS')\n\ndef link_to(obj, coll):\n    for c in list(obj.users_collection):\n        c.objects.unlink(obj)\n    coll.objects.link(obj)\n    return obj\n\ndef add_mat(name, color, metallic=0.0, roughness=0.35, transmission=0.0, alpha=1.0, emission=None):\n    m = bpy.data.materials.get(name) or bpy.data.materials.new(name)\n    m.use_nodes = True\n    bsdf = m.node_tree.nodes.get('Principled BSDF')\n    if bsdf:\n        if bsdf.inputs.get('Base Color'): bsdf.inputs['Base Color'].default_value = (*color, 1.0)\n        if bsdf.inputs.get('Metallic'): bsdf.inputs['Metallic'].default_value = metallic\n        if bsdf.inputs.get('Roughness'): bsdf.inputs['Roughness'].default_value = roughness\n        if bsdf.inputs.get('Transmission Weight'): bsdf.inputs['Transmission Weight'].default_value = transmission\n        elif bsdf.inputs.get('Transmission'): bsdf.inputs['Transmission'].default_value = transmission\n        if bsdf.inputs.get('Alpha'): bsdf.inputs['Alpha'].default_value = alpha\n        if emission is not None:\n            if bsdf.inputs.get('Emission Color'): bsdf.inputs['Emission Color'].default_value = (*emission, 1.0)\n            elif bsdf.inputs.get('Emission'): bsdf.inputs['Emission'].default_value = (*emission, 1.0)\n            if bsdf.inputs.get('Emission Strength'): bsdf.inputs['Emission Strength'].default_value = 0.35\n    m.diffuse_color = (*color, alpha)\n    # Blender 4.x uses surface_render_method for transparent materials; keep this guarded for portability.\n    if alpha < 1.0:\n        try: m.surface_render_method = 'DITHERED'\n        except Exception: pass\n        try: m.use_transparency_overlap = False\n        except Exception: pass\n    return m\n\nMAT = {\n    'desk': add_mat('Desk | warm neutral laminate', (0.30,0.33,0.36), metallic=0.05, roughness=0.30),\n    'desk_edge': add_mat('Desk | edge graphite', (0.045,0.055,0.07), metallic=0.55, roughness=0.25),\n    'wall': add_mat('Studio | neutral backdrop', (0.16,0.19,0.23), metallic=0.0, roughness=0.42),\n    'base': add_mat('Base | graphite anodized', (0.025,0.043,0.065), metallic=0.78, roughness=0.22),\n    'base2': add_mat('Base | satin navy housing', (0.045,0.11,0.15), metallic=0.65, roughness=0.24),\n    'titanium': add_mat('Struts | topology titanium', (0.38,0.48,0.53), metallic=0.88, roughness=0.19),\n    'titanium_dark': add_mat('Struts | shadow titanium', (0.08,0.16,0.19), metallic=0.83, roughness=0.22),\n    'aluminum': add_mat('Joints | machined aluminum', (0.53,0.61,0.65), metallic=0.92, roughness=0.16),\n    'steel': add_mat('Joints | dark precision steel', (0.035,0.055,0.072), metallic=0.9, roughness=0.20),\n    'accent': add_mat('Accent | cyan calibration', (0.015,0.34,0.43), metallic=0.58, roughness=0.17),\n    'accent2': add_mat('Accent | soft cyan edge', (0.03,0.55,0.62), metallic=0.35, roughness=0.20),\n    'black': add_mat('Cables | controlled black', (0.003,0.006,0.009), metallic=0.22, roughness=0.28),\n    'rubber': add_mat('Gripper | contact rubber', (0.008,0.012,0.016), metallic=0.1, roughness=0.35),\n    'orange': add_mat('Test object | anodized orange', (0.78,0.15,0.025), metallic=0.68, roughness=0.22),\n    'orange_dark': add_mat('Test object | shadow orange', (0.22,0.025,0.008), metallic=0.55, roughness=0.26),\n    'membrane': add_mat('Technical membrane | translucent TPU', (0.03,0.33,0.41), metallic=0.08, roughness=0.13, transmission=0.42, alpha=0.42),\n    'label': add_mat('Markings | cool white', (0.62,0.83,0.86), metallic=0.35, roughness=0.2, emission=(0.18,0.45,0.5)),\n}\n\ndef set_smooth(obj):\n    if hasattr(obj.data, 'polygons'):\n        for p in obj.data.polygons:\n            p.use_smooth = True\n\ndef bevel(obj, width=0.04, segments=3, angle=0.5):\n    if width <= 0: return\n    mod = obj.modifiers.new('Precision edge radii', 'BEVEL')\n    mod.width = width\n    mod.segments = segments\n    mod.limit_method = 'ANGLE'\n    mod.angle_limit = angle\n    mod.harden_normals = True\n\ndef add_box(name, loc, dims, mat, bevel_width=0.04, rotation=None, coll=COL_STUDIO):\n    bpy.ops.mesh.primitive_cube_add(size=1, location=loc)\n    o = bpy.context.object\n    o.name = name\n    o.dimensions = dims\n    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n    if rotation is not None:\n        o.rotation_mode = 'QUATERNION'\n        o.rotation_quaternion = rotation\n    if mat: o.data.materials.append(mat)\n    bevel(o, bevel_width, 3)\n    set_smooth(o)\n    link_to(o, coll)\n    return o\n\ndef quat_z_to(direction):\n    d = Vector(direction).normalized()\n    return Vector((0,0,1)).rotation_difference(d)\n\ndef add_cyl(name, loc, radius, depth, mat, direction=(0,0,1), vertices=48, bevel_width=0.025, coll=COL_STUDIO):\n    d = Vector(direction).normalized()\n    bpy.ops.mesh.primitive_cylinder_add(vertices=vertices, radius=radius, depth=depth, location=Vector(loc))\n    o = bpy.context.object\n    o.name = name\n    o.rotation_mode = 'QUATERNION'\n    o.rotation_quaternion = quat_z_to(d)\n    if mat: o.data.materials.append(mat)\n    bevel(o, bevel_width, 3)\n    set_smooth(o)\n    link_to(o, coll)\n    return o\n\ndef add_uv(name, loc, radius, mat, scale=(1,1,1), coll=COL_STUDIO):\n    bpy.ops.mesh.primitive_uv_sphere_add(segments=32, ring_count=16, radius=radius, location=Vector(loc))\n    o = bpy.context.object\n    o.name = name\n    o.scale = scale\n    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n    if mat: o.data.materials.append(mat)\n    set_smooth(o)\n    link_to(o, coll)\n    return o\n\ndef add_torus(name, loc, major, minor, mat, direction=(0,0,1), coll=COL_STUDIO):\n    bpy.ops.mesh.primitive_torus_add(major_radius=major, minor_radius=minor, major_segments=64, minor_segments=16, location=Vector(loc))\n    o = bpy.context.object\n    o.name = name\n    o.rotation_mode = 'QUATERNION'\n    o.rotation_quaternion = quat_z_to(direction)\n    if mat: o.data.materials.append(mat)\n    set_smooth(o)\n    link_to(o, coll)\n    return o\n\ndef tube_path(name, points, radii, mat, sides=14, coll=COL_STRUTS):\n    pts = [Vector(p) for p in points]\n    if len(pts) < 2: return None\n    if len(radii) == 1: radii = list(radii)*len(pts)\n    verts=[]; faces=[]\n    for i,p in enumerate(pts):\n        if i == 0: tangent = (pts[1]-p).normalized()\n        elif i == len(pts)-1: tangent = (p-pts[i-1]).normalized()\n        else: tangent = (pts[i+1]-pts[i-1]).normalized()\n        ref = Vector((0,1,0))\n        if abs(tangent.dot(ref)) > 0.92: ref = Vector((0,0,1))\n        e2 = ref.cross(tangent).normalized()\n        e3 = tangent.cross(e2).normalized()\n        r = radii[i]\n        for j in range(sides):\n            a = 2*pi*j/sides\n            q = p + r*(cos(a)*e2 + sin(a)*e3)\n            verts.append(tuple(q))\n    for i in range(len(pts)-1):\n        for j in range(sides):\n            a=i*sides+j; b=i*sides+(j+1)%sides; c=(i+1)*sides+(j+1)%sides; d=(i+1)*sides+j\n            faces.append((a,b,c,d))\n    # capped ends\n    start_idx=len(verts); verts.append(tuple(pts[0]))\n    end_idx=len(verts); verts.append(tuple(pts[-1]))\n    for j in range(sides):\n        faces.append((start_idx, (j+1)%sides, j))\n        a=(len(pts)-1)*sides+j; b=(len(pts)-1)*sides+(j+1)%sides\n        faces.append((end_idx, a, b))\n    mesh=bpy.data.meshes.new(name+' | mesh')\n    mesh.from_pydata(verts, [], faces); mesh.update()\n    o=bpy.data.objects.new(name, mesh); coll.objects.link(o)\n    if mat: mesh.materials.append(mat)\n    set_smooth(o)\n    return o\n\ndef add_cyl_between(name, p1, p2, radius, mat, vertices=24, bevel_width=0.018, coll=COL_STUDIO):\n    a=Vector(p1); b=Vector(p2); d=b-a\n    return add_cyl(name, (a+b)/2, radius, d.length, mat, d, vertices, bevel_width, coll)\n\ndef point_frame(p0, p1):\n    p0=Vector(p0); p1=Vector(p1); d=(p1-p0).normalized()\n    depth=Vector((0,1,0))\n    if abs(d.dot(depth)) > 0.92: depth=Vector((0,0,1))\n    width=depth.cross(d).normalized()\n    depth=d.cross(width).normalized()\n    return p0,d,width,depth,(p1-p0).length\n\n# -----------------------------\n# Topology-optimized link builder\n# -----------------------------\ndef organic_strut(name, p0, p1, half_width=0.28, front_membrane=False, variant=0):\n    p0,d,eW,eD,L = point_frame(p0,p1)\n    def P(t,w=0,dep=0):\n        return p0 + d*(L*t) + eW*w + eD*dep\n    # sculpted rail profile: narrow roots, full section in the load span\n    ts=[0.18,0.30,0.48,0.68,0.82]\n    ws=[half_width*0.54, half_width*0.91, half_width*1.02, half_width*0.86, half_width*0.48]\n    rr=[0.105,0.125,0.135,0.12,0.095]\n    for depth_sign, label in [(-1,'front'),(1,'rear')]:\n        dep=depth_sign*0.125\n        tube_path(name+' | '+label+' upper load rail', [P(t,w,dep) for t,w in zip(ts,ws)], rr, MAT['titanium'], 16)\n        tube_path(name+' | '+label+' lower load rail', [P(t,-w,dep) for t,w in zip(ts,ws)], rr, MAT['titanium'], 16)\n        # Short end diaphragms keep the organic frame a real box section.\n        tube_path(name+' | '+label+' root diaphragm', [P(.18,-ws[0],dep), P(.18,ws[0],dep)], [0.083,0.083], MAT['titanium'], 14)\n        tube_path(name+' | '+label+' tip diaphragm', [P(.82,-ws[-1],dep), P(.82,ws[-1],dep)], [0.072,0.072], MAT['titanium'], 14)\n    # Visible branching web: asymmetric diagonals create two large purposeful voids.\n    front=-0.145\n    tube_path(name+' | branching web A', [P(.22,ws[1]*.82,front), P(.49,-ws[2]*.92,front), P(.67,-ws[3]*.55,front)], [0.088,0.102,0.072], MAT['titanium_dark'], 14)\n    tube_path(name+' | branching web B', [P(.28,-ws[1]*.68,front), P(.53,ws[2]*.92,front), P(.77,ws[3]*.62,front)], [0.075,0.095,0.064], MAT['accent'], 14)\n    # Subtle rear diagonal, visible on orbit.\n    rear=0.145\n    tube_path(name+' | rear load branch', [P(.25,-ws[1]*.76,rear), P(.58,ws[2]*.82,rear), P(.76,-ws[3]*.45,rear)], [0.065,0.082,0.055], MAT['titanium_dark'], 13)\n    # Root and tip Y-transitions: load flows from a solid interface into the open frame.\n    tube_path(name+' | root upper transition', [P(.105,0,0), P(.19,ws[0]*.82,0)], [0.145,0.095], MAT['titanium'], 15)\n    tube_path(name+' | root lower transition', [P(.105,0,0), P(.19,-ws[0]*.82,0)], [0.145,0.095], MAT['titanium'], 15)\n    tube_path(name+' | tip upper transition', [P(.81,ws[-1]*.82,0), P(.895,0,0)], [0.09,0.14], MAT['titanium'], 15)\n    tube_path(name+' | tip lower transition', [P(.81,-ws[-1]*.82,0), P(.895,0,0)], [0.09,0.14], MAT['titanium'], 15)\n    # Depth ties are sparse, rather than a decorative repeated lattice.\n    for k,t in enumerate((.34,.68)):\n        w=half_width*(0.96 if t<.5 else .84)\n        add_cyl_between(name+f' | depth tie {k+1} upper', P(t,w,-.12), P(t,w,.12), .045, MAT['titanium_dark'], 16, .01, COL_STRUTS)\n        add_cyl_between(name+f' | depth tie {k+1} lower', P(t,-w,-.12), P(t,-w,.12), .045, MAT['titanium_dark'], 16, .01, COL_STRUTS)\n    # Smooth node enlargements at branch roots make the topology feel grown, not bolted-on.\n    for k,(t,w) in enumerate(((.30,ws[1]),(.48,-ws[2]),(.53,ws[2]),(.68,-ws[3]))):\n        add_uv(name+f' | organic node {k+1}', P(t,w,front), .105, MAT['titanium'], scale=(1.10,0.88,1.0), coll=COL_STRUTS)\n    # One restrained tensioned membrane panel. It occupies only one bay and leaves the rest open.\n    if front_membrane:\n        t0=.33; t1=.60\n        w0=half_width*.80; w1=half_width*.93\n        verts=[tuple(P(t0,-w0,-.16)), tuple(P(t1,-w1,-.16)), tuple(P(t1,w1,-.16)), tuple(P(t0,w0,-.16))]\n        mesh=bpy.data.meshes.new(name+' | membrane mesh')\n        mesh.from_pydata(verts, [], [(0,1,2,3)]); mesh.update()\n        panel=bpy.data.objects.new(name+' | restrained TPU membrane', mesh); COL_STRUTS.objects.link(panel)\n        mesh.materials.append(MAT['membrane'])\n        # a very fine perimeter seam, integrated close to the frame\n        tube_path(name+' | membrane upper seam', [P(t0,w0,-.165),P((t0+t1)/2,half_width*.90,-.165),P(t1,w1,-.165)], [0.018,0.018,0.018], MAT['accent2'], 8)\n        tube_path(name+' | membrane lower seam', [P(t0,-w0,-.165),P((t0+t1)/2,-half_width*.90,-.165),P(t1,-w1,-.165)], [0.018,0.018,0.018], MAT['accent2'], 8)\n    return {'p0':Vector(p0),'p1':Vector(p1),'d':d,'L':L}\n\n# -----------------------------\n# Studio desk and backdrop\n# -----------------------------\nadd_box('Desk | seamless worktop', (1.8,0,-0.20), (12.0,7.2,0.40), MAT['desk'], 0.14, coll=COL_STUDIO)\nadd_box('Desk | front structural edge', (1.8,-3.53,-0.42), (12.0,0.16,0.52), MAT['desk_edge'], 0.035, coll=COL_STUDIO)\nadd_box('Studio | rear wall', (1.8,3.55,3.9), (12.0,0.28,8.2), MAT['wall'], 0.12, coll=COL_STUDIO)\n# a dark inset service mat gives the base a believable replaceable mounting surface\nadd_box('Base | replaceable service mat', (0.0,0.0,0.035), (2.85,2.35,0.065), MAT['steel'], 0.08, coll=COL_BASE)\n\n# -----------------------------\n# Base: stable mechanical assembly with hardware\n# -----------------------------\nadd_box('Base | machined footprint plate', (0,0,0.19), (2.35,1.85,0.30), MAT['base'], 0.11, coll=COL_BASE)\nadd_box('Base | upper mounting plate', (0,0,0.385), (1.86,1.43,0.12), MAT['aluminum'], 0.055, coll=COL_BASE)\n# mounting washers, socket heads, and subtle contrasting bolt centers\nfor i,(x,y) in enumerate(((-.84,-.61),(.84,-.61),(-.84,.61),(.84,.61))):\n    add_cyl(f'Base | washer {i+1}', (x,y,0.48), .125, .035, MAT['steel'], (0,0,1), 48, .008, COL_BASE)\n    add_cyl(f'Base | mounting socket {i+1}', (x,y,0.535), .064, .095, MAT['aluminum'], (0,0,1), 6, .008, COL_BASE)\n    add_cyl(f'Base | socket insert {i+1}', (x,y,0.592), .028, .012, MAT['black'], (0,0,1), 32, .003, COL_BASE)\n# rotating platform and bearing ring\nadd_cyl('Base | rotating platform drum', (0,0,0.62), .76, .34, MAT['base2'], (0,0,1), 64, .045, COL_BASE)\nadd_cyl('Base | rotating platform top', (0,0,0.805), .62, .075, MAT['aluminum'], (0,0,1), 64, .025, COL_BASE)\nadd_torus('Base | exposed bearing race', (0,0,0.86), .565, .042, MAT['accent'], (0,0,1), COL_BASE)\nadd_torus('Base | lower seam', (0,0,0.47), .69, .026, MAT['steel'], (0,0,1), COL_BASE)\nadd_cyl('Base | central rotary shaft', (0,0,0.91), .18, .16, MAT['steel'], (0,0,1), 48, .018, COL_BASE)\nadd_cyl('Base | rotary shaft cap', (0,0,1.015), .13, .055, MAT['accent'], (0,0,1), 48, .012, COL_BASE)\n# fixed vertical pedestal\nadd_cyl('Base | vertical pedestal', (0,0,1.43), .39, 1.02, MAT['base2'], (0,0,1), 64, .05, COL_BASE)\nadd_torus('Base | pedestal lower collar', (0,0,0.98), .36, .045, MAT['aluminum'], (0,0,1), COL_BASE)\nadd_torus('Base | pedestal upper collar', (0,0,1.91), .35, .042, MAT['accent'], (0,0,1), COL_BASE)\n# two clean side cover plates on the pedestal\nadd_box('Base | left service cover', (-.355,-.02,1.48), (.06,.52,.52), MAT['steel'], .025, coll=COL_BASE)\nadd_box('Base | right service cover', (.355,-.02,1.48), (.06,.52,.52), MAT['steel'], .025, coll=COL_BASE)\n\n# -----------------------------\n# Articulated layout\n# -----------------------------\nJ0=Vector((0,0,0.92))\nJ1=Vector((0,0,2.10))\nJ2=Vector((1.78,0.02,3.48))\nJ3=Vector((3.42,-0.01,2.42))\nJ4=Vector((4.13,-0.10,1.86))\n\n# Shoulder and upper joint mechanical body\n# Axis y makes the pitch axes obvious from the presentation angle.\ndef rotary_joint(name, center, axis, radius, depth, body_mat, face_mat, accent_mat, bolt_count=6, coll=COL_JOINTS):\n    c=Vector(center); a=Vector(axis).normalized()\n    add_cyl(name+' | cylindrical gearbox', c, radius, depth, body_mat, a, 64, .035, coll)\n    front=c-a*(depth/2+0.018)\n    back=c+a*(depth/2+0.018)\n    add_cyl(name+' | front machined flange', front, radius*.82, .075, face_mat, a, 64, .018, coll)\n    add_cyl(name+' | rear cover', back, radius*.78, .07, body_mat, a, 64, .018, coll)\n    add_torus(name+' | flange retaining ring', front-a*.045, radius*.69, .032, accent_mat, a, coll)\n    add_cyl(name+' | visible axis hub', front-a*.06, radius*.26, .11, accent_mat, a, 48, .014, coll)\n    # bolt circle in the flange plane\n    b1=Vector((1,0,0))\n    if abs(a.dot(b1))>.92: b1=Vector((0,1,0))\n    b1=(b1-a*b1.dot(a)).normalized(); b2=a.cross(b1).normalized()\n    for i in range(bolt_count):\n        ang=2*pi*i/bolt_count\n        pos=front-a*.052 + (b1*cos(ang)+b2*sin(ang))*(radius*.61)\n        add_cyl(name+f' | flange bolt {i+1}', pos, radius*.065, .095, MAT['black'], a, 20, .008, coll)\n    return c,a\n\nrotary_joint('Shoulder J1',J1,(0,1,0),.46,.78,MAT['steel'],MAT['aluminum'],MAT['accent'],6)\n# compact actuator cover mounted behind the shoulder, not part of the generative link\nadd_box('Shoulder J1 | servo cover', (-.24,0.34,2.23), (.62,.34,.68), MAT['base2'], .10, coll=COL_JOINTS)\nadd_cyl('Shoulder J1 | actuator end cap', (-.24,0.16,2.23), .17, .08, MAT['accent'], (0,1,0), 48, .012, COL_JOINTS)\n\n# Organic structural links: only these elongated members use branching topology.\nS1=organic_strut('Link 1 | upper arm optimized member',J1,J2,.31,front_membrane=True,variant=0)\nrotary_joint('Elbow J2',J2,(0,1,0),.40,.72,MAT['steel'],MAT['aluminum'],MAT['accent2'],6)\n# elbow clevis / gearbox block on the visible side\nadd_box('Elbow J2 | actuator module', (1.78,-.39,3.62), (.54,.25,.46), MAT['base2'], .075, coll=COL_JOINTS)\nadd_cyl('Elbow J2 | actuator face', (1.78,-.535,3.62), .13, .055, MAT['accent'], (0,1,0), 48, .01, COL_JOINTS)\n\nS2=organic_strut('Link 2 | forearm optimized member',J2,J3,.275,front_membrane=False,variant=1)\nrotary_joint('Wrist Pitch J3',J3,(0,1,0),.32,.60,MAT['steel'],MAT['aluminum'],MAT['accent2'],6)\nadd_box('Wrist J3 | compact gearbox', (3.42,-.34,2.53), (.40,.22,.34), MAT['base2'], .06, coll=COL_JOINTS)\nadd_cyl('Wrist J3 | actuator face', (3.42,-.47,2.53), .095, .05, MAT['accent'], (0,1,0), 40, .008, COL_JOINTS)\n\nS3=organic_strut('Link 3 | wrist optimized member',J3,J4,.205,front_membrane=False,variant=2)\n# Wrist roll axis follows the terminal link, a believable tool-roll joint.\ntool_axis=(J4-J3).normalized()\nrotary_joint('Wrist Roll J4',J4,tool_axis,.245,.52,MAT['steel'],MAT['aluminum'],MAT['accent'],5)\n# Replaceable interface plate at tool side of roll joint\niface_center=J4+tool_axis*.31\nadd_cyl('Tool interface | replaceable plate', iface_center, .23, .095, MAT['aluminum'], tool_axis, 64, .018, COL_JOINTS)\nadd_torus('Tool interface | retaining ring', iface_center+tool_axis*.055, .18, .022, MAT['accent2'], tool_axis, COL_JOINTS)\n# Interface plate fasteners (four visible countersunk-style heads)\nb1=Vector((0,1,0))\nif abs(b1.dot(tool_axis))>.9: b1=Vector((1,0,0))\nb1=(b1-tool_axis*b1.dot(tool_axis)).normalized(); b2=tool_axis.cross(b1).normalized()\nfor i in range(4):\n    ang=pi/4 + i*pi/2\n    pos=iface_center+tool_axis*.065+(b1*cos(ang)+b2*sin(ang))*.145\n    add_cyl(f'Tool interface | fastener {i+1}',pos,.026,.055,MAT['black'],tool_axis,20,.005,COL_JOINTS)\n\n# -----------------------------\n# Minimal controlled cable routing\n# -----------------------------\n# One restrained cable stays close to the rear/underside of the members.\ndef cable_point(Pfun,t,offset):\n    return Pfun(t,offset[0],offset[1])\n# Build cable paths alongside each link with small molded clamps.\ndef add_link_cable(name,p0,p1,offset_w,offset_d):\n    p0,d,eW,eD,L=point_frame(p0,p1)\n    pts=[]\n    for t in (.12,.34,.58,.80,.91):\n        pts.append(p0+d*(L*t)+eW*offset_w+eD*offset_d)\n    tube_path(name,pts,[.026]*len(pts),MAT['black'],10,COL_JOINTS)\n    for i,t in enumerate((.34,.80)):\n        pos=pts[1] if i==0 else pts[3]\n        add_torus(name+f' | molded clamp {i+1}',pos,.055,.018,MAT['black'],d,COL_JOINTS)\nadd_link_cable('Cable route | upper arm',J1,J2,-.22,-.18)\nadd_link_cable('Cable route | forearm',J2,J3,-.20,-.18)\nadd_link_cable('Cable route | wrist',J3,J4,-.15,-.17)\n# short protected loop at the tool interface\ncable_pts=[J4-tool_axis*.18+Vector((0,-.18,.03)), J4+tool_axis*.05+Vector((0,-.19,.04)), iface_center-tool_axis*.08+Vector((0,-.17,.02))]\ntube_path('Cable route | wrist-to-tool protected loop',cable_pts,[.024,.024,.022],MAT['black'],10,COL_JOINTS)\n\n# -----------------------------\n# Refined two-finger parallel gripper\n# -----------------------------\ntool_dir=tool_axis\n# Keep the opening axis nearly horizontal for a readable parallel-jaw silhouette.\nopen_dir=Vector((1,0,0))\n# make open_dir perpendicular enough to tool direction\nopen_dir=(open_dir-tool_dir*open_dir.dot(tool_dir)).normalized()\ndepth_dir=tool_dir.cross(open_dir).normalized()\n# A mount neck between replaceable interface and gripper body\nneck_center=iface_center+tool_dir*.22\nadd_cyl('Gripper | mount neck',neck_center,.12,.38,MAT['steel'],tool_dir,48,.018,COL_TOOL)\nbody_center=iface_center+tool_dir*.47\nrot=quat_z_to(tool_dir)\nadd_box('Gripper | compact parallel jaw body',body_center,(.72,.30,.20),MAT['aluminum'],.055,rotation=rot,coll=COL_TOOL)\n# rear motor block / lead screw cover\nadd_box('Gripper | lead-screw actuator',body_center-tool_dir*.14+depth_dir*.015,(.38,.28,.24),MAT['base2'],.05,rotation=rot,coll=COL_TOOL)\nadd_cyl('Gripper | actuator spindle',body_center-tool_dir*.22,.07,.28,MAT['accent'],tool_dir,40,.012,COL_TOOL)\n# two solid fingers with visible pivot bosses and replaceable pads\nfor side,sgn in enumerate((-1,1),1):\n    jaw_center=body_center+open_dir*(sgn*.235)+tool_dir*.28\n    add_box(f'Gripper | solid finger {side}',jaw_center,(.145,.22,.53),MAT['titanium'],.035,rotation=rot,coll=COL_TOOL)\n    # front-facing pivot boss near root; depth direction is roughly y/front\n    piv=body_center+open_dir*(sgn*.235)+depth_dir*.145+tool_dir*.08\n    add_cyl(f'Gripper | finger pivot {side}',piv,.055,.06,MAT['accent2'],depth_dir,32,.008,COL_TOOL)\n    add_cyl(f'Gripper | pivot socket {side}',piv+depth_dir*.035,.022,.018,MAT['black'],depth_dir,24,.003,COL_TOOL)\n    pad_center=body_center+open_dir*(sgn*.235)+tool_dir*.585\n    add_box(f'Gripper | replaceable contact pad {side}',pad_center,(.18,.24,.105),MAT['rubber'],.022,rotation=rot,coll=COL_TOOL)\n    # small cyan pad insert on inner jaw face\n    insert_center=pad_center-open_dir*(sgn*.082)\n    add_box(f'Gripper | pad insert {side}',insert_center,(.018,.18,.07),MAT['accent'],.008,rotation=rot,coll=COL_TOOL)\n# crossbar at jaw roots reinforces parallel motion\nadd_cyl_between('Gripper | jaw guide rail',body_center-open_dir*.29,body_center+open_dir*.29,.045,MAT['steel'],24,.01,COL_TOOL)\n\n# -----------------------------\n# Small machined calibration object on desk\n# -----------------------------\nobj=Vector((4.22,-0.76,0.0))\nadd_cyl('Target | replaceable rubber locator',obj+Vector((0,0,.055)),.34,.10,MAT['black'],(0,0,1),64,.018,COL_PROPS)\nadd_cyl('Target | machined calibration puck',obj+Vector((0,0,.22)),.245,.33,MAT['orange'],(0,0,1),64,.035,COL_PROPS)\nadd_torus('Target | lower precision groove',obj+Vector((0,0,.095)),.235,.018,MAT['orange_dark'],(0,0,1),COL_PROPS)\nadd_torus('Target | upper precision groove',obj+Vector((0,0,.355)),.195,.016,MAT['aluminum'],(0,0,1),COL_PROPS)\nadd_cyl('Target | top insert',obj+Vector((0,0,.405)),.145,.055,MAT['aluminum'],(0,0,1),48,.012,COL_PROPS)\nadd_cyl('Target | top datum button',obj+Vector((0,0,.45)),.052,.035,MAT['accent'],(0,0,1),40,.008,COL_PROPS)\n# a restrained target-zone ring on the worktop\nadd_torus('Target | placement datum ring',obj+Vector((0,0,.026)),.43,.012,MAT['accent'],(0,0,1),COL_PROPS)\n\n# -----------------------------\n# Small design label on front of base\n# -----------------------------\ndef add_label(name, body, loc, size, mat, coll=COL_GRAPHICS):\n    cu=bpy.data.curves.new(name+' | curve','FONT')\n    cu.body=body; cu.align_x='CENTER'; cu.align_y='CENTER'; cu.size=size; cu.extrude=.004; cu.bevel_depth=.0015; cu.resolution_u=8\n    ob=bpy.data.objects.new(name,cu); coll.objects.link(ob); ob.location=loc; ob.rotation_euler=(pi/2,0,0)\n    cu.materials.append(mat)\n    # Convert for reliable GLB inspection.\n    bpy.context.view_layer.objects.active=ob; ob.select_set(True)\n    try: bpy.ops.object.convert(target='MESH')\n    except Exception: pass\n    ob.select_set(False)\n    return ob\nadd_label('Base marking | GEN-04', 'GEN-04', (0,-.952,.22), .22, MAT['label'])\nadd_label('Base marking | TOPOLOGY RESEARCH', 'TOPOLOGY / 04', (0,-.954,.13), .095, MAT['label'])\n\n# -----------------------------\n# Camera and premium studio lighting\n# -----------------------------\ndef look_at(obj, target):\n    direction=Vector(target)-obj.location\n    obj.rotation_euler=direction.to_track_quat('-Z','Y').to_euler()\n\ndef add_area(name, loc, energy, size, color, target):\n    data=bpy.data.lights.new(name,'AREA'); data.energy=energy; data.shape='DISK'; data.size=size; data.color=color\n    ob=bpy.data.objects.new(name,data); COL_LIGHTS.objects.link(ob); ob.location=loc; look_at(ob,target)\n    return ob\n\ndef add_point(name, loc, energy, color):\n    data=bpy.data.lights.new(name,'POINT'); data.energy=energy; data.color=color; data.shadow_soft_size=.25\n    ob=bpy.data.objects.new(name,data); COL_LIGHTS.objects.link(ob); ob.location=loc\n    return ob\n\n# Large soft key, cool fill, and a rim that catches the optimized rails.\nadd_area('Key | large softbox', (2.2,-5.8,9.5), 1150, 5.0, (1.0,.88,.76), (1.7,0,2.0))\nadd_area('Fill | cool studio card', (-5.0,-2.8,5.4), 850, 4.0, (.62,.78,1.0), (1.3,0,2.2))\nadd_area('Rim | cyan edge light', (3.8,4.8,7.0), 1350, 3.2, (.43,.75,1.0), (2.4,0,2.2))\nadd_area('Top | controlled highlight', (7.0,-.5,10.5), 900, 3.0, (1.0,1.0,1.0), (2.2,0,1.8))\nadd_point('Object | small focus light', (4.2,-1.8,3.1), 80, (1.0,.35,.12))\n\nbpy.ops.object.camera_add(location=(9.0,-14.5,7.4))\ncam=bpy.context.object; cam.name='Presentation Camera | 3/4 product view'; cam.data.lens=55; cam.data.sensor_width=36\nlook_at(cam,(1.95,-0.05,2.12)); scene.camera=cam; link_to(cam,COL_LIGHTS)\n\n# Render and color management: final benchmark will override resolution and engine, but the saved scene is Cycles-ready.\nscene.render.engine='BLENDER_EEVEE_NEXT'\nscene.render.resolution_x=1536; scene.render.resolution_y=1536; scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG'\nscene.render.film_transparent=False\nscene.render.image_settings.color_mode='RGBA'\nscene.world.color=(0.018,0.024,0.035)\nif scene.world.use_nodes:\n    bg=scene.world.node_tree.nodes.get('Background')\n    if bg:\n        bg.inputs['Color'].default_value=(0.018,0.024,0.035,1)\n        bg.inputs['Strength'].default_value=.32\ntry: scene.view_settings.look='AgX - Medium High Contrast'\nexcept Exception: pass\n# Cycles final settings are stored in the blend; use Eevee only for the quick construction preview below.\nscene['design_notes']='Experimental desk-mounted research arm: open topology-optimized struts are restricted to the three elongated links; all joints, base, wrist and gripper are conventional precision assemblies.'\nscene['joint_count']=5\nscene['presentation']='3/4 studio product view toward a machined calibration puck'\n\n# Save a complete scene to the shared output path.\nout='/home/oai/share/robotic_arm_topology_lab.blend'\nos.makedirs(os.path.dirname(out), exist_ok=True)\nbpy.ops.wm.save_as_mainfile(filepath=out)\n\n# Quick preview render in Eevee for composition; final file will be switched to Cycles after preview.\nscene.render.resolution_x=720; scene.render.resolution_y=720; scene.render.resolution_percentage=100\nscene.render.filepath='/home/oai/share/robotic_arm_preview.png'\nbpy.ops.render.render(write_still=True)\n# Restore benchmark-facing resolution and Cycles configuration before final save.\nscene.render.resolution_x=1536; scene.render.resolution_y=1536; scene.render.resolution_percentage=100\ntry:\n    scene.render.engine='CYCLES'\n    scene.cycles.samples=64\n    scene.cycles.use_denoising=True\n    scene.cycles.max_bounces=8\nexcept Exception:\n    pass\nbpy.ops.wm.save_as_mainfile(filepath=out)\n\nresult={'objects':len(bpy.data.objects),'meshes':len(bpy.data.meshes),'materials':len(bpy.data.materials),'camera':cam.name,'blend':out,'preview':'/home/oai/share/robotic_arm_preview.png'}"}