[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>

YGG-1, a compact deep-space survey spaceship built to listen and observe rather than fight. Its defining silhouette is a dense central body embraced from behind by exactly three thick, rear-swept engine wings: one dorsal wing and two mirrored lateral wings. The craft must read unmistakably as a machine for vacuum, never as a boat, submarine, or conventional airplane.

Central body. Use a short, thick fuselage rather than a long needle-shaped hull. A narrow nose and small forward cockpit grow deeper and wider toward the middle and rear, concentrating the greatest mass around the wing couplings and power systems. The profile should feel compact and slightly wedge-shaped: fine at the cockpit, muscular through the core, and tightly resolved at the aft section. Mark the hull clearly with the serial designation YGG-1 in a restrained technical typeface.

Cockpit. The cabin is deliberately small relative to the ship. Use a low faceted canopy tightly integrated into the forward hull, with genuinely transparent but darkened glazing. Reveal only a compact seat silhouette and a restrained warm-amber console glow. Avoid a large bubble canopy or passenger-aircraft proportions.

Rear-mounted bent wings. Mount all three wings around the rear third of the central body, leaving the cockpit and forward fuselage unobstructed. Each wing is a broad two-segment form resembling a mirrored L with a smooth engineered elbow. A short, thick base floats beside the rear fuselage; from that base the wing extends outward briefly, bends through an internal angle of roughly 120–135 degrees, and then sweeps strongly backward. The two lateral wings mirror each other, while the dorsal wing follows the same bent geometry in the vertical plane instead of standing straight up like a tail.

The long rearward segments must extend farther away from the body than the short bases, with generous clearance and widely separated tips. Their pointed ends sit well behind the roots and away from the fuselage, creating three long swept hooks around the rear of the ship. Avoid straight radial wings, forward-pointing tips, thin airplane fins, or a compact cluster of tips close to the hull.

Maglev attachment. Only each wing’s short base is held by the magnetic-levitation system. A clearly visible empty gap separates every base from a recessed hull emitter cradle. Matching armored receiver plates, restrained cyan-violet field light, and fine magnetic filaments span the gap; no physical strut, hinge, cable, or material connection may cross it. The maglev coupling must connect to the base, never the middle of the long wing segment.

Engines inside the wings. The wings are thick, volumetric propulsion modules rather than decorative fins. Embed each main engine inside the broad inner portion near the base and elbow, with a dark recessed propulsion channel continuing into the rearward segment. Contained white-blue energy should glow from deep inside this structure, not from oversized external flames. Keep the brighter engine light visually distinct from the softer cyan-violet maglev field. Inset radiator surfaces and thermal channels may support the design, but the outer skin should remain sleek.

Survey equipment. Integrate a small number of flush sensor apertures and narrow instrument windows into the central hull. Remove external antenna masts, whip antennas, turrets, and other protruding equipment so the silhouette stays clean. Nothing may resemble a cannon, missile rack, or weapon mount.

Surface design. Use pearl-white ceramic composite over a dark gunmetal internal structure, with satin finishes, smooth computed curvature, and darker heat-resistant material around engines and maglev emitters. Keep panel divisions sparse and purposeful: a few large service boundaries and access hatches rather than dense paneling or decorative greebles. Add subtle anodized accents and faint iridescence where the field light washes the wing bases. The ship is maintained and flight-ready, with no rust, grime, patched plating, or heavy weathering.

Presentation. Show YGG-1 from a frontal three-quarter angle with enough side visibility to make the bent wing geometry unmistakable. The small cockpit and thick central mass should project forward between the three rear-swept hooks; all three maglev gaps, wing elbows, internal engine channels, and widely separated rearward tips must be visible. Use a dark starfield and restrained rim lighting so the amber cockpit, white-blue engine cores, and violet-cyan suspension fields remain legible.

</task>

[Tool]
{
  "status": "ok",
  "result": {
    "version": "5.1.0",
    "objects": 0,
    "scene": "Scene"
  }
}

        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>

YGG-1, a compact deep-space survey spaceship built to listen and observe rather than fight. Its defining silhouette is a dense central body embraced from behind by exactly three thick, rear-swept engine wings: one dorsal wing and two mirrored lateral wings. The craft must read unmistakably as a machine for vacuum, never as a boat, submarine, or conventional airplane.

Central body. Use a short, thick fuselage rather than a long needle-shaped hull. A narrow nose and small forward cockpit grow deeper and wider toward the middle and rear, concentrating the greatest mass around the wing couplings and power systems. The profile should feel compact and slightly wedge-shaped: fine at the cockpit, muscular through the core, and tightly resolved at the aft section. Mark the hull clearly with the serial designation YGG-1 in a restrained technical typeface.

Cockpit. The cabin is deliberately small relative to the ship. Use a low faceted canopy tightly integrated into the forward hull, with genuinely transparent but darkened glazing. Reveal only a compact seat silhouette and a restrained warm-amber console glow. Avoid a large bubble canopy or passenger-aircraft proportions.

Rear-mounted bent wings. Mount all three wings around the rear third of the central body, leaving the cockpit and forward fuselage unobstructed. Each wing is a broad two-segment form resembling a mirrored L with a smooth engineered elbow. A short, thick base floats beside the rear fuselage; from that base the wing extends outward briefly, bends through an internal angle of roughly 120–135 degrees, and then sweeps strongly backward. The two lateral wings mirror each other, while the dorsal wing follows the same bent geometry in the vertical plane instead of standing straight up like a tail.

The long rearward segments must extend farther away from the body than the short bases, with generous clearance and widely separated tips. Their pointed ends sit well behind the roots and away from the fuselage, creating three long swept hooks around the rear of the ship. Avoid straight radial wings, forward-pointing tips, thin airplane fins, or a compact cluster of tips close to the hull.

Maglev attachment. Only each wing’s short base is held by the magnetic-levitation system. A clearly visible empty gap separates every base from a recessed hull emitter cradle. Matching armored receiver plates, restrained cyan-violet field light, and fine magnetic filaments span the gap; no physical strut, hinge, cable, or material connection may cross it. The maglev coupling must connect to the base, never the middle of the long wing segment.

Engines inside the wings. The wings are thick, volumetric propulsion modules rather than decorative fins. Embed each main engine inside the broad inner portion near the base and elbow, with a dark recessed propulsion channel continuing into the rearward segment. Contained white-blue energy should glow from deep inside this structure, not from oversized external flames. Keep the brighter engine light visually distinct from the softer cyan-violet maglev field. Inset radiator surfaces and thermal channels may support the design, but the outer skin should remain sleek.

Survey equipment. Integrate a small number of flush sensor apertures and narrow instrument windows into the central hull. Remove external antenna masts, whip antennas, turrets, and other protruding equipment so the silhouette stays clean. Nothing may resemble a cannon, missile rack, or weapon mount.

Surface design. Use pearl-white ceramic composite over a dark gunmetal internal structure, with satin finishes, smooth computed curvature, and darker heat-resistant material around engines and maglev emitters. Keep panel divisions sparse and purposeful: a few large service boundaries and access hatches rather than dense paneling or decorative greebles. Add subtle anodized accents and faint iridescence where the field light washes the wing bases. The ship is maintained and flight-ready, with no rust, grime, patched plating, or heavy weathering.

Presentation. Show YGG-1 from a frontal three-quarter angle with enough side visibility to make the bent wing geometry unmistakable. The small cockpit and thick central mass should project forward between the three rear-swept hooks; all three maglev gaps, wing elbows, internal engine channels, and widely separated rearward tips must be visible. Use a dark starfield and restrained rim lighting so the amber cockpit, white-blue engine cores, and violet-cyan suspension fields remain legible.

</task>

[Tool]
{
  "status": "ok",
  "result": {
    "version": "5.1.0",
    "objects": 0,
    "scene": "Scene"
  }
}

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

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: 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

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: 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

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: 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

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMq8EtSmT6O5nztm9x0eiteAVvICRFIiABPcyk4HS0NDjaQ12j5Js-hquJIu3ocCwnRPhaKowk0993IzwxcAPRdIveV3tjjSZSK-bJ7scDm0_reE1wvu-Lpo1zBEPmtiv1aT7k5luA9jZD6sbyYYMM82sEXMK5EhYsBpdwZ3kixtollsDs4ypSbmzecNmpriNlR2lxGJonW1eSlvXTb8SItiyGwZ6KsD8SMH7Er1fZxnh_K5sDudY5b_7HKZp2ntXKY3w816AGfiJwYeku5MsvUb8UQst5liHOh7Yju3DuCGWlgIbc6afb6gb6YJUndWYr-cH_sSuLiYYs1gaNQ1A4_GBhnMFD_hWEMZKDBklK9ddC7pa44mpiEOoCQGvtMC8QlCbvEcVOXeRn94wxNC6EIS1AWT8D3OWqDnd7fTerbahOMg8lBY59J_nS2PtjsZTg02UVbQYhQKyJL9YyXDTWMa9xoVpOhz3-PR5GBLA5kRN0Q5Rqaha1CGLCb4wfNd0YEuWDuovRDKk78G1l0QGNuoTHqmnnW0pgobB62BiQ5OJTOUgJothd6d1Ay8OXXzRk2JXklBIspulpsp3NGN7nK6SUtfbWnMHpKm0QsvgEItDTscsvWBG_dcivNT30-0yLdc-TdhQqglZL2ZlqTw2OlQw7l80nByOukP2tp_J7shYHXLYjcHEQ-75Fh9Jmo9k5yreLrNsGXr5XxASHpQl1zxohsqOyA0DWQ8k0A3XkwpQk0S_6u--SI8EmBT32-hvtHnM_KPauOi7L4Ot1k6MqXdTxY9kOqKZ3Kpolb1Hhi3cS-kNQThUfw5vWi2lRX41NyCWRiSyrnKCpzL_zXH6lkqTIatiV5NDTwJSpG_10lpW872bqlE6LeTGOTtWyc-UUMn73hpn2bf81Snydd3Y2vZmgaWzWDtt7dKqry2i4CXNbwB0rGZ5TGZ5ToODThbPF80LNdgsQ62btse7pJjUsdQo30yyZX5OygtmHcUg3VpJqtxp6XTH-0zVE4TnnPCQHV6ZqYx7lH011UfPJBjyLMdzzIXvsPHJBb3wSKzwjEZFKoDR637tcLhvCVKNFrcut66bLFA9kVfArRStwpaSz-81I3xhEHRDReRLoiFNEC_CxMSpMlRxGv2NNqLdEXWmE6lmUnHn-i7hZvyTMybV2XLLpNLg2lg6DeeIYiUAUQQIPqHj80lmZZLJerESJbMbpv326iAr9ovumchClZ5VWcHCrd4TETyV0TLoK1AKFi7BGiWQIO3LdxhfqIdLgs9rD-5oAvLgrU2bMv6yZ9EFEbjlKNcgBas-3CTb31AkODqorMiiwfxZhlWzqOU8P5Aa5aH1rjgqhQPl88i1VZP659Vzfym3M99GGUq_m_citiU1k6SOAY3q4fjUnahJJCvdE22meYi_O99E_mASaHBo3wcl9xtOmcr8aPqHpXHVtrRY4TO5tHFwfTJ5bSUJXrfgWXWNOHZGJdhjAWXUP8opXAh7XAHYz9o-KhKt9mRGZjnnJQDTpwUgpbB0pkIYKtGLzIow_QnE574xwhZLR-ASg5lYVonYhd41SI0yzFzIPxh4kMg-OK2xnw9AR0vlToJ04hrfD9D-EsYJ1yWe044lzEzoV1xq8R23ZFNkUaQTGd--Kc58ca-F01pr4hC0f2BH9M9Vje6HDOHsdKqNcn4yiDpHEMKg38GRw6iK3N9M_2AHLeLd60dej_AICxU04TwXUJ1Q78laKdxYB7s-4-FajcksBNEk03qFzmhrp6AoFOvxgOgZZ3g3oin7IBSCNWLCAPlNBq_aTqvSHLojxQ0IN32_6T3uVbJYGEWwfrfMxUB94I25b3Fiw85EYGsN7TpPwNKXPc-nhIidxs3lBsFuqdx_UVdqx9lNUB37r4cYuvQtGT7jMa3FhOSrd2fyZkYcqoQEM47QZXPAtOOcjj_xW0iv-A9de7Ky4dVEgEBv7ezqFjf9G2K6irpTr4WT405wZmRp_cmmCWqOYoKOUtDaG37usRMQpk5g_a3WDxrJCHvLoFOar4uYZoiN-cqzjHoSapUDmjKPmBwvDFmEemkn7Er9h9NsiKG1fVJd0aCSZGnfBpEfrwViX2KW6ho6djlQ2HA-D0CdJeIEVjQpYIos2sgQ0Cnl934uMb9kDnrbojxw8HLvWFRJUiSv4hhJStRUUEbjpe3iVG6dTwWgOEQI90pAXgRvlJieRsJAqrssHbMK57pJU2txLzRSinyYzU4RyANNXK6nkuff_rOQeuCQvqDzvypHberpyvv2p9jze4EmRwaM3L1NS5tOcgmMuS_jE1YfiZ_NTW2ofuY5F75JPRevSYEsCq0U-mNkf8qiWpfQFCNa5-ZA-HZ5Dn1-j09nYUca3VxATtqUI3rXqe5WAJqX5xJBBwz8Jzt66rP1YdoZePbM6Rt_2rUhmKL55JWenjeWNaPVF63Hn3CrbcQZDT0z9S0uTnBZjAwKbolKSeu5vQ1rzvn3XdAQYw3NcIQFIYwiygeUVFDjcuTuy42dV4IYmGzhvYZsNpBa7dYggUyV_GHjtruoQVPP4gonJTYayc9qz98t5bvNj9sMkbjsK3PsmicCZxf88Y2glNt_2dywRB6p-8D9E8sxdd2dHOz0remg4wnbtfDylg6BS3GLfqy_S2Mj8ONDmLzCZr4Ny8feB1Fyk0_fsOFeWSA8TdfUVWpR5kXgjFGjsFq0FN_wvV0Ln3xIHExVJjBUgJdpkUwmvS83utLFwEO3uS1mtBIFr3fLyjRfszVd8EQxwByQAV8wy6kcffH3WCmGZ0DJ7xwk4UxVB5Wt2raL_X82cIRxuR0zqBiA-SuYIXI_nBIyoEpFbJnu34QI7sBW_AAB09IV68cMEgz1ykPEyYWUIkv_kd1RA_13hXt881cFUyfi_6P2R6cuXYjyYBjtAZL3-Hz_qgg4f_zroDynJMbYPwa5HHVc5VDCHQjq3MfhrNYpsN2HsRe32XXfc-b6NERZHzmv2gCZomoAqlrkhVb76S359LObVy9i-mg99fsPJ7qmh_1FwgirBo9Aa94jPpz_4ZiAMaLYbs_e3OdLnAR3eY5nLj1C6f85c9L6dHOrHgc-jtcBojTAu2wTEkANXGpFoGwOTBKOdGT8Y0xgGGxgMweGKDNcpCcd0iaPXQGVSBeypAEhuTnhuFPrtFF0-yqviP94Ro_YX0aDrCNpLGr11kHe9BX8eTQgB9zVXs4O7u6hGor9uNSu3KugnIbXxyzw2wwj4VPM3oSKdN8pSBTdUTe2yhopJfGHP64MLZXdwfTMkzYLQxTZ569Qtd46rBsAZEojLw=","format":"openai-responses-v1","id":"rs_0a7a4f9b1a142a2f016a6ccaba445481a38ab68e93fc6dac62","index":31}]},"finish_reason":null,"native_finish_reason":null}]}

: 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

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMrEp4RgjM2YASXSW-BEah1INtC7H2nVDIqJmNxcRhd3zS90x1PmoXPSCtYpk1IxRD9tt4D-ewtI1MGuF55g8Kb78m6QI-rZZJgcmxo1Vfzn-RQS0edhPOKYqyh7tSPgMXoL4e6adNtTpZ6GY0PfApgBkESxrbWvgWYzjLpC-7bodScGi-YZoD2sFwwAlyXWg95z66abfLf2klkNk9DY3ERxco7GQMqsGblbSiW83CS-EcJkc9HyPA692v7a5lG3A8s2Q_KH5YT9jklqm248tceJOmUJkLSq3xeOBj-mN0dCSLd7k7A5yPKVlLgGtd7vA2GJc39TDXP1pb17IsjLIg3k20H_msPX2d02EdLDTmWXGEYFc2LxZ2KVBKG0KZK1VRe-PBAMOkfZebyAwYkYJ4bgHT2Q3sWc1RiZEJS8bIzH7HQtgyEgFMRyxYRfUMGDpiuuRy4TLK6aQjPxvL42Vp8ORfSbtCMd5aAIuAFS3SByyaV9kpX5AZSzdwf90KxRvQ0LMBLujvYr83iqbXsYIvNZb3AaAI2boO_y0K9i48o8Z0y5B9YLEssM9KyUbbLYxOiXbUHyjCQyBAD9sMmh9CwnkVw4jALdTib8Oed6lyOyG4CHXm1UtITikTgkbDBhSdWKuWpnLAzo65_QRex2rDHKdM_VNhXnQxr3Pu_g2gDoBjTqKWmiLCLv1_NKSJNNW3Am4nQjUbiLzG5fBtj0gEaC_ooeUd23_v88LJ1_cY3Hn2dS4TF4xVaHuhLSx4u95fCKJXTJaUUFgcrA3L_iuyO3mV0zGBUpTL3iBfQD2eJCbV8zGdTFhS1HN43SvrMhqN3NtozVdM74EwpZNleQUq5Q0fyLJLxXwDcL_RxY9SSO_oxVHrNkgoHaGbWkuXiGttv_DvB-bRU-ca4yKqxM31yyTTRk0zs2hpQWWFOvhACnWAk0lF_ksGm52n2jG1ULBsOSGVPIEw9Liv29oZTmO2zJdPoDJehBvKMldUUHoPDtcchsfbRHhE7iosp9V6X1x3zocb7QlNRHjDnpcCd40JdmKST92L6EDsoABzFot3nl1cMOuegh8o3Uw2gDfyOkMuVBxeAxefyEGoo8wF3Im7MmT15Wp9P_lNOfAiE7iiCfm8F3238GdLdO-oxuDnzulNafSbCYMy4zvRDVfxx8_kSC9cIkjUiddsx7kZ1it8PrFVxas_oHfCoic_4ZlkymQpsUDdmlirwJ-vXWiYmU3lScTkemetem7jxAss6ePpbgycBdJ8rWcsHQtgboM4XZ0AdQcsbkEJKNrZ9_wAJfWUXwxDlcag5VrgFmR-DqsnAi5T_nwb07UrivIrgNhF0bn6tCtkShHqUfbqYzBXAxcLqHmuKzuz0JTqrXZf6nNp4AGn5v1OKsJHWnP-Ql_mr8Qg5db_CcAyIKgh-4uiGasB5MtZrUosBguR9oH3SIggjSbeaT8ZwlgMbJ0gmSw7fV_nZ6yQfcz4L49delda1VGHC40_OcvXHGszxPE23BT3EArvkfM8TMcBXkPNozKCaZzFpnePNDIsbTBivzGMdCt3Ebs_XMkH_9wfkSOywkLQ2U8AGujCC_cNFj8QwfPyjN8PAxRAsMxkq-5vfDFRKKGJ34iTGi38Icx52eW8m0wg0Tzg1BkeJFRH0IZnb03zeirId_dT3IYn4fgBCBMoaFKOF_vXSB2R09yJRGpjucS8V3EYQ8Tpf4NI4E1Y6qDTjfptlNGoci1TEpnQpyzpCUeTQI_by7IDE5wpc21QcVwBBRCT8b2BBax6chbaRHV3bb9_eBiAUPfdvEjsmdyOrBKgTvP06tVqDQ7uAvo6VrLPyhiyOU6eqDpo6uiWgvCvSxth1m6cHdtk9s6v1uZO1srjmg5DRhBOwgcXvZU_I7qSj5ZGBmZox_ganG1MG1i641-OHiIW_ghB73mhzHoDuzc0ybh49bQQZa1sNu1KzUJ_iCOT56pg5j0KaohqIZQhwCZWdxFMu5BvPA26Sf925KiBSs39OgTYOwq56PaN89aB04Cmx13scY2ez-k3MkFfv13hBQQVhSt2JCiQN8xt92x_PCR4eVovhE4dRqSYtrQuqc2-B5xXLGUtf4L0MSJLJJRW26ZdhDqx9dZwkFGwuvhhBKd2r4SvodcJfmYheGctUiJWCZof1Bz2sIXJeKQO0nr42D2HrQ2lRvoPq_N3AhvizWmCHMzzFm3msAYlCCYsLdAWhW-eAsx_jBW2l_QnmM1eKA9FHkEfK73lQSwZOSdzInYI6F7HuhcSF68jWd_IRoTNPcByJg3DOAbzVyJWLywq3jg5T9UFBmzXaU59o5Z4_76Lgy2v7NmG7HRuUUG_5AK4yxv45MhjJWQk5ftgzym5KNPT_8opwGh3d-oz2h53pD_sx9BjptWKnwInlQA23mV4hjMkZTS6XNJsHBAp-OFPpY759wcoP0NaOWpmNvBRBD_Pmobi84gkjg27ibzfXoGr99UxAxR5M85DpCi4Y2nHfVCSYUizXx7Pd3BvgLyZINBMyB91ds6fnletAxXNjig6N0_EDH_5OuHXb_x97fDAUxTbbTsRk-AA2p6K3g6YguJ42yuYxHiAGWaqKeOMNolG6uDrtNFj5IUY7HHHjeGc_YRCf1MAOZCj0IRUXyEKFvieK4EhRluzpJto7p6iidG2yXXyfkrQVZpRITsxXPRskGA-KvYBBlqQIO7PJxSeyNYlo_Y2ru8WAAGvvYaErZ7Pjvkvz2SIhtvQCkwbRABidjJyAQHw4kXJmyggduJ8L_eIjD255dNp4QUP3ir2vvJ3H6ad3YiYMkBz1KC4vww1wzvarjyS7jzQFHB92x8XeDVi4IbQ_8ICClZ5N_JA0MbATLWNuu4V4zhTJVf7oly4-m5bLDujujuPsPDWYJX9wEN8LaeXKmDiuR65GvwhnsCvYKSj6U1ci3MqpKoXNzbigjCFUnPz0lMQ2ELodP-3g8I6oX9On_KuvyNxSOFPJnioaBeyjfDVwaXFbH-b_tW8-Z957i2urpLzropS53AutX0LHit5sfIbU3AIUlbsKPGV6Rdvsdj0JRDkDGqZa9Lwky7-y2_X6BrbkjeMHudQlbAih5B1ix_4AX-RimVgZ4JOyItqIZdd84i6KafXXfFbJJchtiL6fjB_Fayq7OirVPjKpD_MUvMpwZIsviTpLDq6HjsJaCX9y0DDd0O2REwiH8wYf2FZhPJRYukEKsDpOyoO2oi7cG-JaqNnrpCyhY1gHUnbN06PGe4n-ASsCuQhPRWczYrMBrP9o5Ky5uiiaTrbRCfEvHkpL-G_HVj2M7m8m6UhLpN-OjqgIYS_klTZYY","format":"openai-responses-v1","id":"rs_0a7a4f9b1a142a2f016a6ccabec45081a381bd9121c88e1307","index":33}]},"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

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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

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data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" setting","reasoning_details":[{"type":"reasoning.summary","summary":" setting","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"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":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" material","reasoning_details":[{"type":"reasoning.summary","summary":" material","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" to","reasoning_details":[{"type":"reasoning.summary","summary":" to","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" ensure","reasoning_details":[{"type":"reasoning.summary","summary":" ensure","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"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":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" geometry","reasoning_details":[{"type":"reasoning.summary","summary":" geometry","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" is","reasoning_details":[{"type":"reasoning.summary","summary":" is","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

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data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"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":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" However","reasoning_details":[{"type":"reasoning.summary","summary":" However","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

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data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" it","reasoning_details":[{"type":"reasoning.summary","summary":" it","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" seems","reasoning_details":[{"type":"reasoning.summary","summary":" seems","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" that","reasoning_details":[{"type":"reasoning.summary","summary":" that","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

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data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" text","reasoning_details":[{"type":"reasoning.summary","summary":" text","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" type","reasoning_details":[{"type":"reasoning.summary","summary":" type","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" render","reasoning_details":[{"type":"reasoning.summary","summary":" render","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" works","reasoning_details":[{"type":"reasoning.summary","summary":" works","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"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":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" but","reasoning_details":[{"type":"reasoning.summary","summary":" but","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" GL","reasoning_details":[{"type":"reasoning.summary","summary":" GL","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

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data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" not","reasoning_details":[{"type":"reasoning.summary","summary":" not","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

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data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" curves","reasoning_details":[{"type":"reasoning.summary","summary":" curves","format":"openai-responses-v1","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"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":40}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMrhROE-r63AI2760JN5RnQTS4KbAqi2AT09UAa8ugz-xo9kso0i--ljq9SYC-rXzkpvIMaxoYvhWvFe2Ae0zFzqY3y7dWFJO5FO56umGpxJDqLqLcV438Px2gzBu8DUA1xOgzWB3HLArGwopVrSFeMDP44HYuJTnFCid39g_xK8pPQ5her4WkQxGQgOLAXXtDDM4feEzAFXiaTFsZ_NT2EOQMsqbhPmYRA7JUz4-Kx6pNXqs3jn0ekuKBbgeRTZtR29QQ3xTjoB9XDYaJf5ZdIFgpKvQMNYQziqLQuGcdqL05VhoFNhX3_1jZBrpbcuAISH7pnY-Vt6b-Dd2W_gImvzB648m0Cvn1hpXmXPfgFH82DIgGahaqO-iIQ0AVgTtTCmqV9xtf50Q8i903qGcwsuBUvNPMbQHgaPIQaqhfSjPsFiwPF9IDrUdCk0X7AKfQUuse-3ouubnEIxNRrGPz4fZ9sRzcbmNvWN0HQAhww9TrXuS0kgLiodPzLvzziElKwIozV-91-mYT6zD0aO3ot_U4ySUgrsnwOzdScAsF3DK0_4_Jnt_xHzawZVNBiOEBdjGR6KEq4D68N7BGLzE2IjxVg2T1F5iIShhVNQEitToA5Cbv4B_6Qct1RgjuUM3yXKqWLh-JoJ2x8_EtsfAzbMiwh0abhvxLN-EsejTIIuEqqZW-gXqrO2TbBPb0zUr4mwzjO4QtDBuvaCRc4PXnmPdFLhr1MRwDtTH-PshijbGqURa1H7Kdxgixz7I6FMS3NiXBd2c2gdpkJ2v8ewoh87wdfZOFB7_6RMJu10QRexcC4ouKzgBAoqVi4ruy5grZ0IPEgIVk147mJTQBKD-KUJ29vp2WsMu7SMKWt5yx3GGO-YmBUiaLxCuSrdjuYukAPIIOoW8RdSUt-jrqmpWfI0XoCyrnKvOQpZOiy2r5S-2lPZ6iHCMyjOBcQrgx84cwqOtGKtQHECBx4Z0tHz9SH10byW69xnPCADCAtYSIf32wppVFhJ92BgaXsxddvTfVIoHIW7zfob5UAzyUore_T0ArSHAY1zs1mBMJedaRq1HVWR83p4TfPtCndOM8JxXZ6xX1bU5b8fdnP_y6wRe0qEex6rl9ts12DrIWjVa-I0AOSHcJ2m2FfOnbSC86socpJLv16YvaS0E4P1Crli_-LK9Qq9nPUULgYoOCKBWwq58wi1lv9JUyeOkpIkF4aHlrWgsP39_ZMbeghglV_8Xrt9Y-CwU-KQVPbQJoff9CrO2_b8GJSUdLQWpihgQcMwlz-IMXOLPCGMY2EaC7H8tK4qIvDgAg2AyIMO_1I3kBsJFDJSUG9-Gplfi6Hdz-QEj6Ik1avmv4Jc3pYdNJXKyrW9qFXfnbBVndBOsSv04Nelb0N5T7rc0G5boGjwpFQcg8meiamkf0iQ_lplKShoz3b7mWMcBmqyoIaMffln-EjLPjrKJPVyJm8z_pQ-1Xjt1PlkWC_AiAFyqeM869p1rsGMoFT7vdREuQvS9GBwGBpn7m10EEeYA2McQx4HT2ERj5YLKQjirw4LY9tz0BIgwsi9CvZpSuvSokwlWQER2-P_nFiSsAq9FrAmf8o_zgTe3XowWlEsaqbVKNu7XTplkHHyra0_vRy_k91pWsw8sj5yCPAG6YsQcO-4oTfmt5rrSa1c2AQ9iX1w8pT7lRAGgv4_9jcKz3V6tYLBybTjPvnjlZ7hbVIzEgZ8ouhdVFGhWtlPYRqMZkuJdpXNGxUe4E-qvYFz6Mzq6v-iQTd7-jY3KumQYAIv3QRy3MS3WVOrHSehcQSlmoTPudVfApnl12N5dxRe-pQc6P-zht-pPx5iTTQwlE3X58O2ibX54n4CNJdOxeoBMwHJAXjV3YfqO_LHnjWhyWJWc08NE6pCM8ZFJatS_dqqg-RaHhO326HO07X08apNYSU90MaoAK-iC97QbdNuFwzaxf60LZXlHdcJJhQBv5Hws9yr-kkCRV50rvxOn8WhkcS5iPTqKandCeY9tPnQ_akHsjuM4MrEn-NVwksUNHG-N_vll0hxEzOkXAx3RSs-_Iwp_OG0yDc1Yw6CAXBfGEdAe99UV0EmxYlsamyvmP4cSd6rHv70IqVPrh5KhD9NEUbVpMUN_5UWa2s-SVtBWQDE0Fr_eOp2vKHDLVj_QTFaPkoFJ1UV8fbIpTwlCbw0s10SaaHAAhWzyMDZhG0FAkzSlD12ueRUNp9ZXg26S64JWqJx-hTZ13bRjXVAWVQGuSWQ60wTHpvQgF0Pc8ufcNwsoiCjCi8BFkMCQuOXsH3VKjNBskUb_pyhBtxvtH-vEVo2jga7e_aF00UMJoBIu6XCT0J-eTecuuLZkzSZMpR1fWFYB9hEIBIGl2CyGDjEfMGLFsWyVVh7_39Tp0k_SbaEDMy8Yq_gRagCoQvmug8pKnnid45OITy22y3Yd5nG-b0UPZN3J2gZF1fuBh6VnhHFedw2fsLDxXsMGDEMU-DIMVV5PWD8pbbbEt8cphpbxs_rtuX4uO_LmDqssLaRedlOI8zwTdGy92xqERQhHBUyk8cegtqjYRIkmysczfZbkZS0rd86FbxjpKRyCm5m83fcmuU85_cga9TVmlAG16mqLQHdnyfK2mTDBI5PZq8WvU-W_8LBtcpf1lhgHs_4_fyQbYXNQh55P7wzIcaw2w6cQMLxV1ckiIm4nJzDkEZFIcLkre-2i2ECzFq56rYKl-Cc8nZXAE0Rwi6hrsNQoJrdDTfREvg0DQfgOqE5NDjl5hbOUgDvF8pEOpmeg3HQyT9RaVtPy4n1VZLOd-6ZyvnwLMLfLIOCukxKJlwl_tGBLag6zYyO913mT6zDB0c4VPGl9NJFQOZrP8_1Q66PHXYT-3uAwQ7l02hQrlLwUxQI39CnVhHhWszgfKytPJHEVrqZqVqg5uH-lsyFtHlta0u-1C04eI0dA3Mh8BKesfleAqc4uAmXY7yxr_K9eBJG1ERaxTyL6wV_XiLR-v3GBvid3xOuNYkBAj1KKVae88YUgT5BDkm7vNC2w4sXo7VCVpNcE4HanWV9SsOkad53s5FyW20T-JFPNrYdfUAktecAfIuBwC9yJZm4imwIsll6g0kfOeBt_rSETikipJljCsck4FoFm8JWaKTuYV1ICkAFZEnb3GR8ecdGb5YMSvuj6JQaxRxcXRajJWLFfAQVX6RhSGGfN0mEZAWy1VLAOOxppw7I_6AuPPRs2Twyv4eiYlpbAGQt2T8evGXFEn_Sw51Vqc4zAwrbNcO7ERk_kEtD5wu52AuV_Xe5siqmpTjgWRFNgLWD9LHzYZ0557aVN-9b8z7UfWU75UvDz5AZ9a55_BjKVcpoh8BXVNOo1pCVUQ5IQ_QgvNAyhVOC8ID0v3K4p26cuNQp7YuKs0tYBezBZmyFH2Z-DER9oywLePUHMJYPTJwHhhGw6PP8HT_BWiCCOVxIiohChbE69tf_Rplbcgziz2PFgKRl5riqDJQ5uZWh4y4DdADkboV6HrNVg1EJs_68xfitwGtVVbRBoDvx2ZK02rFpIqKstEJulfqHE2sSdimWO4a5HswGu2NEL32KBGtcFU_iVpY8tl4pkASfwlUplAfxNrec5p7dUqyQUZWuKawvHBYhIGg2v9z_aIQgMA8i7Qqd9UZRPNkPJM42uQi-tqyDVGKa-7WGlBbPKZxNLQ5PLM_ZtIIETW5DJrGu1qiw0Wk1OR_1Vw0yJfr7SK9xIFBvW1Ja5A04RNwWaLu2ooTqAJjYcz10-m0dL_1plLZ8seHJ1ZHBNRSExXrHNi4oZ1fbr3Jo1AEvcf6ShGOyEMrMNCL9CpcjXe-xjkg_nZU-PaoFqnNtXgMA","format":"openai-responses-v1","id":"rs_0a7a4f9b1a142a2f016a6ccadad90081a3ba508c3fc673ef90","index":41}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMrkOftPi7vE9wu4ruGwqF-UJUfPPWDCox_CPZR_3wgl_afy3JkMhJEhf-KgH0A7Xu187zEPVsEAZe6YeuLEjKNNtnSUid9GY6WxCqcIxQzEkB6BGBtAB74lFwvySyaHPJ1GG6WP3jrU4yVgiqoUHIJA0z5Pt1kvxi8B3gPvgOOTiBr-xck1OnbG2-8Lj3HxXjeMsikcKYYKgTiQ54nPA2j2Z_2FY_0OX7dhyEOS-XCA2FtZf0TzaniLFEovZohlRVMiFRYMXDd0qZEb1-2eimvoPczO7unPxM-F1hpw14Nkff4iTsOpNr9E3_jfgxYa7y6Xk7dBNW8AgRTMpLoXknJjzpPqkeNu54KDShlBJeA2ziNCoGCQgz7arQ-iTp38MQF0UWoxJnFWUCQrPrCyPp341RLEdBVJjjYPK9NY_xS4wm_FXYP1zZa-2GKSutgicsi_06GHQ46vnQ1no6VcjUio8dSA-8tr8djtDzcbolP2IfxL7wFIe-MkU-NNAqDl8dGla8SAPlblKaJCWrpti0G3VRwM7yK8d1rTBG_q4k0AjvHV8qgUlPHHvZ_5KT8apJ4BIaLQgdrbo0Zy8Us6vuBuGzHjMCbRRZ3Qb767xFst3gOjvNsR5loMK0zxNSwOGn6MA5eirHmiFFAfUQshZoZbck5veK_6P7RgqSOJRZddByUjvT9fv2QpD23_W0JbVsf0iADivEdjszWmz8YHij-DTr72r9H4ypQokOdObs9pvetqwMBj2ZEx_td3yWwE_Oo2wsgQkCSEkbx0GBtJKdIVxLdJie8CyViqZawsbAUaWRzXEmLK4QSLljmtSTXJxRTxjnbeIkgoLEyvtKLS5SGIEFpuHp4igohKyPGuwO263IStn1UeZkiriGC4eF0qUH7XT8klYGzfYc8OTQRDLAveVwpcj6mZeWcJQlY2uR-XrIltW0i_4hb-GHcLuYszra33psCFvkLEUjdlW2yN47kh0MnPrZz2XSiSBe33aqfwu3TREGzmvPErxt4y18T3HiI_Kv7HttOtbWiprtUbkYLeUs_zHQNE8jot3TopYBfafc55sw8ze5Qgez-py6swK5DP2yRcaQE45ud_ShYyLp6NsgD_xy2KRWb8oZXBmoTQZLn7H8D3BrDLEbb3gRu9-TnpuBY_KRPpLFhezW4oNz9vMJBxJMC85TFAyooK40srIziqNkXKrMLUm5sWsnYmbgF4vSICwnM8i6UXisgmtD41ovdjr-opO0an4TjV8DShkyl-gnIe_jQ8P13QVl_0FnLajYXtCJrn_fO0bsPodyYVA8ZeT_ffi6qP1DWYJtkBJGiAMjau19nJvwLClLM6Tq5ZyaQ5AdKVcZ8iILP3_LF5XCy_UgCumwGf2dYhd_fYSN39m0inWeeQL6zx6rw-rgZAJa_vCnzVSS0i7TVsfOXbGKtwyPrASg8V8_hznU3Lv8Z_7P1IRach1ljXQIDUmyINKghaB_9Frv0P_uuUIJ72K3jeacCNCOfFGwSo4Y1LB5sS7-WnY8csl7RXhUOkYSesoPoZf2dgwrLX-V459sdohbPK9UJBoAjW1hiJddmc-3Fef7iwUfx7gkRABcGdKPSWNU-5MpqF1bbTBuczx5fHzp4aaQmpqmkbLDsldGzOQxNq6p005vxyZ58k3CJDiulL7HgFVYPSxFGL7xQKvCAOANqBoU5-6jX0YDnIlAQE9HIVeb0eysdTjWKKjjj3Pi6TOK6fU-XAygGTuvl21sjJ7BzYX9pJcMwVUR4lAPNn4fMuFTycYwiXxc2Bsffepg0TCYRxwgxd4SeeUYy_oDXRYQn5Qy4HEnELCuUptZmPDP5V2O9OWVXV7qlieH0IDaIcHcLR09yuSpc-fw2s7tnm1VpqBkeCrf7Ob0ogMMcf2eVYACA82gQn0KAtcpcrvse6xGMT58HHnO0eINjP8e9wa8Zcp4gYSAcRH9vddNBe3hvGNkNqo-a-avqlt-28jjjol2_eCS0OCfxyEDXXLmG_HCdcnBv6fhJ0H5cOxLFZsB38No-y5PcIjX5ePHHgfgO8U7oOejV3uQN9WHVloSh67QycTgIKL95JGIGoq1jBnMCW5-laeUZOFWsUQIUMOkNqUsIFGyyFHngAEwyhO_-zcvkxTo9zfETnALW4DRsSm74srhpTOWEg6-ZJLelfSQvrjl-oW-nvyO6y23fltl1tjHfyZoiWGlm4fBMNhlzo2TyhzAGbo9nTgW9DFp2M0MoyGvmA0WYnHZPm8DnYfqayciB81eK4G_0QpB_Rrzv-w7wyypsHjjBXNet9ERC_LL4trtCn8lqvjOt82ykMbip0_VDMTSnZ0y4rr0-YJxN8FnRgJtAV21ClOHQXwsZO3u2j40l3kDRexYfusspx4x7v2w__3bJjGRXTXlsTdM3JWWGfZpo4LrrnYygQSeM5cOgB0xJ5fgCtgRKnizrPEV70zyXLIJHm8_4icwevdfmzf7In-OQ9EXDqunKXeLDisPlGQ3pM1gNYT_EuqzvxvyMZOK8Ic9RepziND3UD0UcqKDGSpTy0qj2BHAYx2gTq1R2aUCWK-SBSuzpRUEJImOy4LnabzPLBvXis2Sda_QnbrNeWLeb0Hour1s5EkeQYf7Sg54vvNN-OuGUQaVes21vSEu2E54KTmUglYh9YWxiEBtNXi0Bi3_DfOrmCv02kGP3vt8ni8H2hSdreImSK6fSkBiu0_nF0xdbEflFkwTERVyih_witGoO6zynlO_r9O4b9OSYYyBzc4kRV-G7jZA9Apb4y8nQ8YcIxhu9H2qARYrHYclnlsez4JqUDJvpjPq_BXzJuMLmwkCg8UPcjPBTy3IgblQUNAKwtH_aqFKzAT0zO_gzJNYbdA7EZr-_uO2ebNiSowqw855_TZtRA_plTimz2kXw4t8WqfDGNPaIWU_xtGvBZsavYqWzlCy5W0dgi58tF2Gty4Prn3gAI4_XcJnkRDyv_VjXwtssm-puW9VtupHl_izuf9_SOKdPmTBxuzYLgx2n4jKXaC_qh2toFx3qQJagPVU1rRjADJsAD_zVMKw9WJs-zKHEXcjXWG0tfkE3DOtNdh6iuL3MTiN8KvOiRrFYPd2Ptie-L8VT2Yw0HbGyRT818k673nn7PgCuiFXzkc9uIMwZ5NbXULMU8M4IiSVuT0dY3zIzLcvpOFFW5b8_W5mfDLY6K48n-K-QI5O7AxxtIJOBA-RXUyY1EbQ7pqc7RszurWkOffGEY_N3VPvp_yQ8p3Ekxi3DXklT0Q8ZxuJgqe7S7JzU629H8m7SdiolI6WwvW_wpYio52whka08IfK4hep6aiVIHXL5bG_KJrmtsikqGF7kD2OvW8KETK0ZdWjQ2s6v_OH3-P_2X9-Kgv8h9PJ2zgaDJyPB6O5Wqv4bTVOCbdKu0EVUwuKynrsVxndhx14bqC6ctG309GVnzy765sD-rx20uvs0WDhNc7N2d9-KvoPofUSetYUpalA1Nc98Ch6ssVSNoKUF5kRQ3sb6Fx1Ft6OX7KRtb9Vqwl7Ia6KFde5OCoZ-Ht2gET9YpEKrb5pcGpVpSRlKnFSs_I-M2CV22-OEB-jSbNjpBZ0Oer_gu5hDab3BxHwjVM_aqKZlPL6kM5waBwBgrSrHx1Hfu51s6jTlrkNfNl8Apqnw6bZ9IqwkgJDujWhXcExE03WVSeDBPodMjKrgZZpXIyKQa-MGDBtg3edolNJ3ZLDEnwrHqTNztRrE7MLsf7xBlL5BhQrqkg2eRRxDTXhXwvayf2qvZgyZOXHfnsiYWI3tlFu0IwbQflsWdOhZik6_mTGkCLaQGXPE-6Sg=","format":"openai-responses-v1","id":"rs_0a7a4f9b1a142a2f016a6ccae12fac81a39130dadeacb84a6c","index":42}]},"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

: OPENROUTER PROCESSING

data: {"id":"gen-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMrqQiDzUlZWcCyknZLybOSeMVtd4ZPupR16ek98jtRqLHANhRTvf3t7JPmoTZ4nTUByxeqzJ4zbPm2LYLF3fohNcsMOJyZrnUjYJhkGIkgJImsH9J8oMGtL537gKKqUJbLcj-GtdaVz1F53mMRBEq8STOqlREQ2v0XBEPuJdT68iliE_-NW2kFyTIfRa9yS4iD7opj3GzAIb_rPFipna8fS7bNQz17Bybr-wuSjehBvaMdh4cRcyBTy8bUZp7FIWxQGTLJc84PNamZcbvn1ewXiEF-ahTFoqPOczVM8zn2iwqQVlOOdt5fjOXFSb4cft0cNKZF_jT0lQyhvYb0kMJ5WZFTk3n8kzyB6a_vJiXsprka6e5sr55yWsOD1lAzI2UVtMlwdvmx2wpEEOszGEoxYZzvchHa58nrcxECRgTfReq7qrgsBfMXJHM6JFR31F18YuViuK2WzwgQ8uuQQ7HEHoLOKht2Od389L4a8EdWN4wQc0GwBOLZwnV3Y2PdxnV2PgbcK_9Neqq7T4G3gUGWXaHJZu3n1JnnQ_nUkN9WQH0xfHTKBCjXrBDdYO5lAUBP1hs1QBBqzibwhzbegaL7O5xHAT40IJMXsOpuj5XWPf0BvSk6brK5fDX8g3NHeZwkJ3eY1BjPpZwAYqydb5iDyD2XglipEBHvqUDj652ZN7ZCkyFJsRP3CLa2tMjPLmRU3lc5zz_DsdXw5Wkrq4SkuNIbBR8ejnbuq5iiuVVL9Y3c2ECEw-epngnrrFTtz5HwpwJ9fMXYUMsbWcUbrRGuJvI3BFlcVJUBRza8O7hu4_BTCzRDo0zbbbMyHptixV77YYAr5fmQMg8Rjy7MxizZLKLbj-H0cuzX-Ty9NTL7OWFm6vGBP08Htyy3XyaD74Qa7CJEmKIw5WKFB5FdouPUYd_kNKsS9FlWa-XWghBoid8x_6V9BCqvmJbPDHBu48RA4uijd5w0JC2lcWGOVsDD_CVwPLjKBTT-yXrdBe6gXOehEHit2AeFHQoJMX9GVbY5RBcFRSCPoFhObuJoDpf3Cj-X_Z4rvmpTpjvWdSK0n1Nv34nm7YPb67z3m_f5dIJwnvmOwRScgwjuyUVM8bs7CAuxW4ha5gDwIUSlJizz8wpmgQ8jx9WePVmjEbTHkuOjjeN1fgUlFcya49ohgXVm_HREqzq7wk2HKJ0a-eldOC6S6bv0CMftNrQTEg5-SwweZWEqmtZ5l7cKySSm3_b4cEW4yLpxHHPXjsNT5Z30PtaHmdwLS6vwKOOAevRuNx9si6GGIO9ojffKOZcoqgs6SZi_4imJFzXj5hchb5A_-Tu3EFbqaGZk2x0vt49RAyVPhuIAjyoJMYyYEI_5LPDrsNC2TnOiRUA1J4h-nGD0v7zIOqgUgqk-kKo8x4hqiGaleOMiD5-BD0Q9KwDXzCEGutXPbcgjse5VVkqtVUjuRSz4jICecFS-uMGEJPlewQX5SEMmUtF3m9v_DSSd9e8irYxnFP1EupvK3x-L1U5HHq_dNrPau5fy64Yd-fFm2HjAF19Kms_p-mOk7wj3Mp4kkiUx3wa-5CTUX6-kzm_3ymCWFWXFhD302yuq-B1jRntESScSvVIkbscEzcw-YuC267k2Vt0sTvd8wmYvW7BJUO6Zj38E-2qJ0x-SvyjvBQfgBmJ_ZADcLm9kJjcRFfdj-NxT7X19ViykAD-Qx8FMl4C2c4MGyl0FqzKCEyMNLswdcUgkWGoitzaR_2n5sdEHGedlGD3ECCet3DOxfftA3DELdV9U7ToXD3AhiPQS98TWybx2jUUsKK9E8ADUNS7x2sECQZSxYObFjd_V5Av8QpvayAkyrTR6yVyC3CxsO8l5xryJHzCuB7sZuevUThEbu6V71qMBhGanXYtoC1a31NeGH7SBLPaqVKhgPGoQ6amXNdKR0bfZXdn8gNsE9uJ6k63aOXCe-zfSkmln9pgcuEV8kpaDo7GKXtjm-W02pKBLMLz7AMlLR5oNRfP6-2u-C2twnSLdiQFpComezicvYVGxq3vIbsVJE7mStEMfVGiiZGub-a41ohOgaBzVEq_Ob9qKbj5RQxVy_fkihwD5H9zFRE7yrjRPtIeFQ_Zn7lRHRYETaAGfbXVqMjeWsOSwNCNnz-MEwT_Nva-aIkmLrpjbKOGXLer5V__w1bOKXUAnWruGe1jTnGLyMNDI5qvF2XZUGtfgH9uXiPycMhZ2K-qkvP5xxzDMNw8iJDjYvZAXjvdYEkoqbhFzh7hZxWc3zKqJZg22xrF0oWybp2-by_scQrTCHMEJHeYTz-UjrrYu5Z9LdoK9Gc9L641G4ZTiMEeWk5cjD4Gb816-1LFTKyY4_U5aH7IZlgTV4zh5tZNRIJx7JKXMZBk72dwCDD9PfqMYrxACNTH9IaFKRGa0HvZqC9W9rGYPUYCSrNidGo-oQNqn7lJEn4P7SRLN2X_4qNPporqs17CL4ySkUy71PXGG-qfztmBMON6-Zjs5PXgYjAnkLaKaAg1v_CK4hbGKMdUgibAY-TJRqbaNHGGO4Qo8bCTdLds5NHK18AxDHo6ic0u0d6qleUFJnF9GBX1vg_VA8rf1jtSyYr1PWoK_fMQ30aK4YImkIWxSLZ3nAj28kLTSHdo0yG6OwrzlccGlzhwywDurT8xJST8Xm9MzWHV4D12sCUHoKfzu4QxXhSOwnWRgPkJWuNKDDWx9NjekmsXKoyRf4FAq3HyhljOP9YP2O9HRPG5aHSBIQ_IgSYzbloOAgA9NPO8KtG87sdtX70Rl3xuBAn6_bFpb2Ud-fgiAz5jw6Nt8MCyl513D-UDMP2dKd43-z1PPg6Ygtg4GLBYS5WS0bFq8HsicN4Y2MwqXimB9Sk_X_wPwjVW8LGpAr4Ovh1w8wta6XrnxeEW-Wo9ilIT2-tYMQ8ZPwyqmltXNf9TdnOZvkS3i6_-xqxPuAB3BW5FKet6WDC_CqrJNuJp-cc3iyLDu_GORjo5GsO4t8ESEl8lKuD9NtPteGhjESBi6VhI-ADbuFtglimLa_lcKqdco9bH7M5OzWQy-VseE-GvyIxmAYb_m15ClVBWhsiUtYNxmfmYMXkn6DC2t2TbmUva0LtgekGxFwsw1AxB0inF47IBVVqufvyn4QScJZ9JBgx9mKtBvnS5yqc5iYBLFDOiGl3OAZN-XyKsQo3nSm_lRjj9auhw2Nn5eknmHEbJk0uQLaEQFqrX2EZuiCuYphaPF2psI9OoMUTlkbikow83Kr7C69pLVwE87opfs4SgaaPLQwriQge1nhIIkgeFfPSIR1L-O_EZkUa4ww_-jCWxRvJl9wUjFfirbd6NQZX0rev0-uORMcLCc9YnbswbqmXF-nT0tD14_5IgtS25GBOEyBpMnD0R9UnZ02dpmsZuxbhx2nAv97mbnrYZOO0U6vhJgcMJV8DzBG5vItBfzFER4YAoZvr3HjnkyGkc7Bn-WYhWMemVV_9VzAdQoa6xkBnWXR1lqBjkpk6_4WI6AzstJCxEvHLF4F6IPH7kvDtdNAvvNrevBW9NCp1DKEshS37nIpcySw9gMyLx592HE=","format":"openai-responses-v1","id":"rs_0a7a4f9b1a142a2f016a6ccae4704481a39a1b20b3eb03d6c2","index":43}]},"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-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMrvQNR4geq7BrMUvC-MuuxYOmu-V2p5xPrpAoJasynFWuLrX59Y9T7bosD_QAaYpiJQN4oOIz-8tvmSfR05Qisw1jZ1Po_mp6rkBPg9nEyzBmK5bmRhS0GATiB-viTUm3ubQ7-0bpyISk863SkJsiTAtZDILyYKfF_yweZhIOTgtNrW6kXz__93NSFXCdvgIktsy5XnEdmCtfM8de7D3CNsemxS7LEoTufYUpbEW_GXWeTh7LLnAH1c5r38Jiikw8pdG0nZmoyZdQmejwXp8YWR6Gg6y3sgkQ8MC_l9TAQKfCcYeCQOpv5SkRQdHPYtF2bG4I2AKPTza2JBlR_ktQjvtfOfTo4fdP8bvweJ1rSJ9M3T71_sLWYswsjcT3oa7r1P07R8-KrZ6gygNr_9LOK-yg3MumcXEHoDPuL1JrgAV9N4aIFm-28W-WCwh2jmay-ujwFKgZPVsiL4biSooRw6uDc9U37HpWld7b_kr2FKtFOR3DvmkF-FEP-qSe0as-0FMQBshCoaZKFzFObGGTAoFoyb3SniXTQr7tlfhF4LV5uLaFDNPzcMrnkZW4ChNV06j65DEfKYEMQZCKPvvQMM4O6xSyxV5DF4Rod1_LJDL2g6OxFA4TgPBNXHJQhkHE8tozPAarkVNJRiwJr-2LtAaH2B37hI3S0T5JWk9VIQ8SOzqlyiYJv7umBhhT0jbL9yP4A5XLgcWu2baudI_GUdK07ZMmTaEKUn6YpmORGHvYP0O8CyN1pX-UDT8jFoPcN-zs1Mo6Diua5uDuPuTqQiLDnj8CzV5ICLWfObTwhtbKl4KhUtGAlR2JdQrW5mLlJr0dSEcZW-8zkFLyTOZbW49VCqRmJeY5-twvU0x_-LL-S2NaRV3bSr9IarPiSnFD--W39qYqxXBuVlG5Yc-cLx9gXVCPn5_1EctlUfmOTQsCz-GFIn-RNpldvVmIN_zNEXrwUEmQMn6aVw7-BIArzQayfa58WCdssCbHkJVK1p0W6xzZv_AkmVj9MWzgOumZRLymKuYcAH0lsqOMInWIBjad9oBRKFv3GWaej5GdGvpQWn0F4ulGV_N2xMKGCHu9_jIlJX23i6y4K1EAuh_t0GK1KSBGw2yTd0uSiLVw1a34TrXkpbtdV5KZt5yfrIIeLNJovCqnTO6ODvsAy7GRUdv249NcszKRIPZga_CQsvDl_J123JrTdBB0DsVQtUAt_7V0dwftCzuC-gaj4E9_wXfQvz7wDdJ3JlzJ9TIPA-FuSTUqeJYVeE0Gld7Y_fLN3a8O8QZLe4uf9ymk9YzRNNoNXD92oNDXePk8vEvMJN9Vo7xjgOzX7fVA6lYwWtxyJfGbM-ZbhfYcSAX2n2KxvnU63F2fZv-p6dVVfWRmKWdh57QMNjD1TnjrDMDDBE_TaJNaGecJxg2Z62ujSS7KQd86Q09clxdq_1myV3CBAvMesVxYeVDCy4FH6a4Mvne035o-qdDVHe_udsMmmwNbrL_iH74wvr9lsSFMAgUQtxN13QH7d9_pCb6GfUPrMt2g1VRnLJG4DPZ0hmneUlAoVP_MZLArkDUDQvkhbV_Sw4RpXuZzHUEgQ1HiFUeT9K6KFP3tcQMMgbNMnuDESSD89JA-cezPH_uB8VR8qiruYIYE6x9S7tfC0DYXqRtmK9YQe6u0w_Mhg4zDEA_oUvo0cXM-iGHmlnDv-RhZZdLy42y-ZCxO2jRB78X330LWoRQh0fFDCgcIl1uCa_Ltm_u1R038_VnKrfUc54bGFr1rBk1Aa_NPaphJ2KF09-ax24ZQVxNaXpsKBLLgge7dfu7T-IWJlnbk7Hqc7LQfQBgsF1TjiJQPaJimNiFdnYp6x1hhp_QC_vSaOWJ5P5whNH1cSfHNWgqS-qy1ucCCKjwI-Enq3aM1d2iL-O8DeYuLict8iP9LPMlYU7tRIhOgmTJdtfPmAqrUhwTww8biusz3Gg3jtir1_Q7Y_Mf2KTCycC0GOp6NbLTTIo_03SoSPp77GI81UcrPPKmCbX-eakKDuSIvhUIoQCJXG9FQHkqToz93S8_xsjmRniuA-KMerNU6dBm3NhMckzYC6NPapqTPFb9RZCHeO8MRZTn1a2a2NJWebRC0LTQqTVJ8dWnfum1Q7j394wEFugD3Qez53SfmHrMGh_3KJQawXdyXHgh07gwTfH1R6J8X6OAN4Qbze75iZEpYWpubCsOQbe--QI6VI7jIlvkUEq3RLb3-2OX0xySh1sJNAj7DqS_4DTuQanS66ZAPAbVLiAu3U7IX1huAsLPMkYoDIaXQzE5ATFijz7aU2a7QITeuDHr8XvMcyKTCaXg79ncWTRrtt13dROvxN4-EjGduJsXq5BrXgCH-LLcXwN0TdqMyX5rnj0Lsk7fuW8QsLM_8QTh2cPttEbIaBv04OgbzRJ0XW8aOs28Qck6lfiIjuirc3RlnI6XPaTkNM7tvQyBbXe-02VUs6OgFMhVfkTRHISaLFAgHPECmuEW074Q5wrEhM0Frwy5YuJ6FkN_LSMo3G4MxwjAZP58UVnoAMQhbsoTgORz3c952WBReR016hBT_a7B6t_4aw7KcZct0kHp0RZZs07e7CRWKbs9jybKN8_xFRAouRswjoBJvRN-B7wE2zry4LchhbYUr5-qGxPhFORfg3Y47Dk5yy78N-KWrxi0C27o2T-AG87iByw932K90bLmuIFkOIXIcWaien1NAaqFXpzwJcBSuzsZr6U7vWLl8g59xoNNvFScZTlRYfS7T9aHX9jYbbvFpfuivUuJaUgiYtMcFW5PZy7I7_YBZQVjw-Dfp2JUy2gyWm0WlyM2lZFpq4KsZm1CdflyBEDYCQbJqTP-N5xxtbTc6WevMYWucgWUZYYeCUWyPa1W8i9iPnevKPPMIu6rZNJXVThpJH-md4Tu7MP7kt38IG5ih4k2b6bQv9qXQvFhKxWbd13J5yY9GbVxo6s8E644vNF7YxXmyzcy1O0ftI5o3JKZjrW0fg3L5ZtL9cguKnUEaSA54pdZewYFLkJ7iSfxhCdvqsB7bqcKgy_gz0rtXKEduCCH1BA1va0azxgODrWvoEKvyZT27BfZJane3VJTy1sQSvk3enKV9K5bwZfLVoIv06mcztx2_TKx9x_QUWeKRw4mVkiYFr0W7cPiQj6tX558bDCZb9UCM70DZ1Toa29coc7UH0VTZrOHpJ8bdY83eevqkxUzJPAZihgLjq6HpQ0OZP0cWtj-Aojn_UNT4RvSuMqUMtYkGdSdqkvIH7oCd8yCwvgvBkV2XwE9Fhh9hcqCqBsIPrDiGkS9Xtwiuf6vBFPr4iZ4ma8p6gAutlNMBgrBerk1XeX0yoFXgceA-XbZU6IRUqkqaou9t4MiHZrRoAbC71ivpQHSegz-1P9-Uy6QIo0uEWrRYtoiMRtZh9aYCm4l65AkJNdu96biWb-N4tIp4KWD6cPgW01XrPJKYWRb82Uwgb6HD2FbLu0Jua5sX2jqTMXqVWaI3SHyWw-pQm1gsh87RxaRIp2eHDB5OEaBj3CnziTn3uTfagy3jMvkZcnENFOcfwctP8Qu95N6JqgKD6r7QTOoTAdZOqa","format":"openai-responses-v1","id":"rs_0a7a4f9b1a142a2f016a6ccaea0ffc81a3b22a134b9b73fa30","index":44}]},"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-1785514571-cpRW3mIxANVOj0uT3unw","object":"chat.completion.chunk","created":1785514571,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMr01BTF2pX4VFgtTsEC9LBqL6j7jWWC7eTijF9uWWgnYEHLRMWweIMUEQ0bW-JmqbQcT67tb304oPqjpZbRAX71MvxalsYQd74nY_eS67fA-YE3cQKfiOeijBRVOVL1u_a9vK89b9KRWGBCTTBfgmKJe1VL-Bp7WMbajkGevolWYFsBP1Np5uHd_ssqtTKL_WCNSfhdQoz4v_drjrjZUrEM4lHNIY2i0ew47VffCK8ctEUJrRnwbT5uykdgr20rZhYIbLk4JLdwVMjok7S7vZppRTIHK5Fv_am2CE2uxeasWt7-cvLZ5KNFiE2qa5-cl0H-y9EbE62etYHDbQUck5tTMhL5PNVxZIM4f4VIHLL1UR3SYpkTEmLeGXmLuuWipXBVHXWOdPkh8S20VCBkuX_bmumAb-xw1VIFlBV21cMGLvN-0apXl4wlNd4pGjRZ32C5pHxL35QD6TMHoHhaSXkJVRAF9lpOgWAlY5L8LqiR_J0wYNWY4zP_kqfKLn7yp30rGXwzO7AEqwUTb6sBFg3MR9bmurrKFCSxvwE17x3W-dxVHCVSShVzJpxQhTNAjgWz4M4ChWQz4naj_rEaNlpCPGUUJoCuCBVAuEfzhkkgAW3piGGPuyn9g9oexFSWmNiG3fe9iC5xOa_yJV7SYNe3-QI4gmUI_s_Y_pEtKP5bcLRDfdCcFX6bDTXD8YVgoDdbk9FMazkxry15VpnVz1WtF0GNWoyB67sNGglSIBHlufat5i8j8s-P9GuR5ymmRnshvc4LXCLyI1ZJ-m83gzjte3udKEZYvtJA_n-cISuvcws6_NNhy40X2tMO2e6GT7dsdzoZaic-I_T9V_9prTHJTvO662lg9U1Bj5apyrdjpfGF-iba83XdnfMBox3KZcXAyMioXbRrhl9Nk0jKIuy1jFi-ZEtNoi1URJz8_lngeGtZw0uYVid8DYPge5BnfCNGnMJssQojTUJKSpZNvZ8-_5QRas57Xl2pqUnY-iEzZ2YlEMC4A9XpkRPDXQKBVhkqh8VyUSZr7qBK6uTNXPrxPNSrheHWVm253cuVdCUgRBoGChNy9JTbvpQx0hP9kDvj6jF30iAfTDSOQ4kqprv9O_iEtTdLgcfTpa5qk_s-m1i_XTI1S9aYC35VsxSqDvS3pBvVYy38Gje0Y7ZuCZKc-6viS0WsJoG8glnJx-xlGNIJLUqf_Ao9vsj8tKIoGR1SVIIRJhzBj8WdqdiKtd3uhTou4rZUcqP1Z1SxOJz5NcDD5Ts_ze6QPq8VMOHh3I33s2awzKCTPdCA8OIz_-mpWS54cwBFT1MhmNDPq5RWJPmYQAbXlNie5MydOyfRNaoYtCfMTLMjQkUb-NHpjpq1nnLNYUm8rbtpbxTYTqV32eL-R-AozTGxfmVhvvh8TxN3e-v7pczGs99QaE7eJUqSOSS3H8Hf42xeKRQum4UK4kVLN2ierLIOIn_cXdc0Ry8W3VA8NbDdKwtZ3UfATwllMU4sAyid6jtQHRYO9Xp8cJsaVDB3il7yb8F99KqILDeY59FjLRuBrQ6Xkfb6tXurI5tKrQ3wLWzSMa0_XNJeSWiF3W81HIdjMKUUnJdOxqaODnU9e5d00sc7FaNklnQSAaTDbC0NmVP84fnoB9ztjgqmniP0Yo4GQHLBDjaUowyrxFTvgmBElQx1jRsrPpbP0tFO4qA5H3NhdD0cno04kfxALnetB6x0VrH-HpboG_Uejy_v8D3GakW99emK7QPDgha3zdEUVXuXtAxvyezmt297N5WhO3w4rW2Xa7I9awo13duLqXBP_9hoXNxaVUGh5E9WSeCy4fQ6XTS38eL3wr_G3RvBXlCaQ247aXKg6FkaMylYdlUCeBXNoaLtOVME7Jgk6Cw_JJGiCYdgiGA1jSbgktZexTVW5t7uByG_UWESK8xfDhEcCmctcXeV-DNVIk5hU9VCYqhkl4Lbq__vLPOiyf-illY8XhzDD0IaCGszlKjO5UD3wfGPeQ9ehWCs65JvBODHA3vKhwX8ds7ZtlVepHHA2t58tkZwEzjcS8HcFm4d_eiuVEXo0YItq9-uvOpyjy8EsvzSzswuGhS4Z95OlujKsdKYrNxaUyN97NCpHrRXDMz6c9PF0G49pQFdBpjhzkEQ-WEnEAomOsUIH6X3YiQ0jwcbYhYd-YklSX0MSZLGUbWaxVet3NSYszp2qJzgJAGxl58BbGawj01DBDt_KXS9lI7FmhY2csShmxTj9HGcPgUpqTZXEBJfD1qSHuB0LYpX9euYGpUlHMyAXmphtDkmf9OUlVjtyWMUdNs4qXcRLJBtsryJ2BvAkQoaIvDCOEOdaY_u7AFgzy0XZIQya6h6sx_cMj13R2BQdPWwi3MXNEAy0Ui-sLau6FmRPs0TZf7pifapOzK4-OiSuhB1jleUNxuE5bEPTiS4Jz6O4E4sbNNGf6nBodaZogTcjF7HcrfDLAeKr2tZU7lFhwTsPAzYIG35fHikCYVxnCPcUACWDxWu8tGJs2gGc9gDQ2FfvH6rmnjjfrJ60kUwrGYSNHc384LGHSGwRNtIAa4ktZJB3ftvqmmxhNv8iQLcCg8eE9Yy2QEJqgaYd4WN0UJWuouBvGyr5dM8EbBcFPSCEodA4qTVPGqem4JtjeAjeCaEkmtkoGBb2B5yOP4UT8n78AUPxUiDU0JtndAulr3E3mK_rTX_NjESyQH3cFv4p6L3-1xDQlmnSFVgnxKFGZ18X_i7lk50oTJI2ovrLH1MMqD4Cmniuo_7PXSZzskPrlGjLshMs81IC4zoNdUlx_8_fDwZIXT02jblltOW0rqKOuxqE2Ttftz25CpiLksj-5FWzgnmRXoVuglVtVHMBzGF02KIBSpeg_CdttuONYNiJz7ZFvLSQqV2AjwwBI5CkQI9P5Xp_QXC2QfuFvU0mJRIzqrY0KYYaKIhL1Pnsfk0AQkduBOygIxtrnNpzeYQNkNghVC7TSnkIpzITtMMkirOnVZx6qA1VrzDsPZeUMpW2G427Lvqbj_fHaPJC373xsoGQlA1H2osSsIcIly2L2Wb-iGS4GCL4KO2uQyD1Jq5PVod7n224algDipGctDZ4kShkQ8VrQcD40ZhubOW-UAEr1AQgW42rKWtXWCdP4bGlCqNcl_wkm2DkKrYMVoLO0zwcTBfRqaoEj7cGtJ4C1g2pzTZDdOow-ucStB3ywxtodNBFyJSFDC160yZPqCvqopWxzQilShpB5W_b708DPaPBHZkhN9Rbf77NvhoTtyVdhEqqZr6AoivpzWIckS4jLPbqMoHvNQxL2C4ES-refZZEzYbcnoZTlzAo1r9QIak3-2fU-V6Ra7IlBELmRrzpbwcsogG4EjCWn72spo4NmI-Z0miphj6oZMoyikx3LRdn5QxmcOI74JevRf4L7Yqh7Nzz1KkNRRTaSzQb7MdhsmdAXwEdbTDtTs1YI-SI5q97wi3LBFg7Yfm122jxrk8FlKIzLU8bdsTPqLU4UU4aPEl9onRpEic8FjTezV97Rmt7VsN4rDUbxU8YMuASxQKWCvjZsAlsSwJVZBBxi_kYLc=","format":"openai-responses-v1","id":"rs_0a7a4f9b1a142a2f016a6ccaef285881a3b8142c07b3dccd99","index":45}]},"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

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data: {"id":"gen-1785514571-

import bpy, math, random
from mathutils import Vector
from math import sin, cos, pi

# ---------- reset ----------
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

# ---------- collections ----------
def new_coll(name):
    c = bpy.data.collections.get(name) or bpy.data.collections.new(name)
    if c.name not in scene.collection.children:
        scene.collection.children.link(c)
    return c
craft_coll = new_coll('YGG-1 | Craft')
wing_coll = new_coll('YGG-1 | Three Rear Wings')
sys_coll = new_coll('YGG-1 | Survey Systems')
pres_coll = new_coll('YGG-1 | Presentation')
star_coll = new_coll('YGG-1 | Starfield')

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

def parent_root(obj):
    if obj is not root:
        obj.parent = root

# ---------- materials ----------
def principled_mat(name, color, metallic=0.0, rough=0.4, emission=None, emission_strength=0.0, transmission=0.0, ior=1.45):
    m = bpy.data.materials.new(name)
    m.use_nodes = True
    bs = m.node_tree.nodes.get('Principled BSDF')
    if bs:
        if bs.inputs.get('Base Color'): bs.inputs['Base Color'].default_value = (*color, 1.0)
        if bs.inputs.get('Metallic'): bs.inputs['Metallic'].default_value = metallic
        if bs.inputs.get('Roughness'): bs.inputs['Roughness'].default_value = rough
        if bs.inputs.get('IOR'): bs.inputs['IOR'].default_value = ior
        if bs.inputs.get('Transmission Weight'): bs.inputs['Transmission Weight'].default_value = transmission
        elif bs.inputs.get('Transmission'): bs.inputs['Transmission'].default_value = transmission
        if bs.inputs.get('Coat Weight'): bs.inputs['Coat Weight'].default_value = 0.22
        if bs.inputs.get('Coat Roughness'): bs.inputs['Coat Roughness'].default_value = 0.18
        if bs.inputs.get('Sheen Weight'): bs.inputs['Sheen Weight'].default_value = 0.08
        if bs.inputs.get('Iridescence Weight'): bs.inputs['Iridescence Weight'].default_value = 0.12
        if bs.inputs.get('Iridescence IOR'): bs.inputs['Iridescence IOR'].default_value = 1.45
        if emission is not None:
            if bs.inputs.get('Emission Color'): bs.inputs['Emission Color'].default_value = (*emission, 1.0)
            elif bs.inputs.get('Emission'): bs.inputs['Emission'].default_value = (*emission, 1.0)
            if bs.inputs.get('Emission Strength'): bs.inputs['Emission Strength'].default_value = emission_strength
    m.diffuse_color = (*color, 1.0)
    return m

pearl = principled_mat('Pearl-white ceramic composite', (0.72,0.78,0.83), metallic=0.24, rough=0.25)
pearl_hi = principled_mat('Ceramic edge highlights', (0.90,0.94,0.98), metallic=0.18, rough=0.20)
pearl_panel = principled_mat('Large service panel satin', (0.48,0.56,0.62), metallic=0.38, rough=0.30)
gunmetal = principled_mat('Dark gunmetal internal structure', (0.035,0.052,0.068), metallic=0.86, rough=0.28)
heat = principled_mat('Heat-resistant engine recess', (0.008,0.014,0.024), metallic=0.72, rough=0.22)
heat2 = principled_mat('Engine channel inner wall', (0.018,0.028,0.050), metallic=0.55, rough=0.30)
anodized = principled_mat('Subtle anodized violet accent', (0.16,0.055,0.22), metallic=0.68, rough=0.26)
window = principled_mat('Flush survey aperture glass', (0.008,0.035,0.065), metallic=0.32, rough=0.12, transmission=0.12)
canopy = principled_mat('Dark transparent canopy glazing', (0.008,0.025,0.045), metallic=0.12, rough=0.11, transmission=0.62, ior=1.46)
cyan = principled_mat('Cyan suspension field', (0.01,0.11,0.24), metallic=0.05, rough=0.15, emission=(0.02,0.55,1.0), emission_strength=9.0)
violet = principled_mat('Violet suspension field', (0.10,0.015,0.28), metallic=0.05, rough=0.18, emission=(0.22,0.015,0.95), emission_strength=8.0)
bluewhite = principled_mat('Contained white-blue engine energy', (0.26,0.62,0.96), metallic=0.12, rough=0.12, emission=(0.45,0.82,1.0), emission_strength=16.0)
bluecore = principled_mat('Deep engine core', (0.02,0.12,0.28), metallic=0.25, rough=0.14, emission=(0.04,0.28,0.72), emission_strength=7.0)
amber = principled_mat('Restrained warm amber console', (0.42,0.075,0.008), metallic=0.08, rough=0.20, emission=(1.0,0.16,0.015), emission_strength=7.0)
textmat = principled_mat('Serial marking', (0.018,0.032,0.045), metallic=0.55, rough=0.25)
star_white = principled_mat('Starfield white', (0.7,0.85,1.0), emission=(0.65,0.84,1.0), emission_strength=4.0)
star_blue = principled_mat('Starfield blue', (0.15,0.35,1.0), emission=(0.15,0.35,1.0), emission_strength=3.0)
star_dim = principled_mat('Starfield dim', (0.25,0.3,0.4), emission=(0.25,0.3,0.4), emission_strength=1.5)

# ---------- root ----------
bpy.ops.object.empty_add(type='PLAIN_AXES', location=(0,0,0))
root = bpy.context.object
root.name = 'YGG-1 | compact deep-space survey ship'
move_to(root, craft_coll)

# ---------- geometry helpers ----------
def add_bevel(obj, width=0.08, segments=3):
    if width <= 0: return
    mod = obj.modifiers.new('Soft engineered edge', 'BEVEL')
    mod.width = width
    mod.segments = segments
    mod.limit_method = 'ANGLE'
    try: mod.harden_normals = True
    except: pass

def add_cube(name, loc, dims, mat, bevel=0.06, coll=craft_coll, rot=(0,0,0)):
    bpy.ops.mesh.primitive_cube_add(location=loc, rotation=rot)
    o = bpy.context.object; o.name=name; o.dimensions=dims
    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)
    if mat: o.data.materials.append(mat)
    add_bevel(o, bevel, 3)
    move_to(o, coll); parent_root(o)
    return o

def add_cyl(name, loc, radius, depth, mat, direction=(0,0,1), coll=craft_coll, vertices=32, bevel=0.02):
    d = Vector(direction).normalized()
    bpy.ops.mesh.primitive_cylinder_add(vertices=vertices, radius=radius, depth=depth, location=loc, rotation=d.to_track_quat('Z','Y').to_euler())
    o=bpy.context.object; o.name=name
    if mat: o.data.materials.append(mat)
    add_bevel(o, bevel, 2)
    move_to(o,coll); parent_root(o)
    return o

def add_uv(name, loc, scale, mat, coll=craft_coll, segments=32, rings=16):
    bpy.ops.mesh.primitive_uv_sphere_add(segments=segments, ring_count=rings, location=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)
    for p in o.data.polygons: p.use_smooth=True
    move_to(o,coll); parent_root(o)
    return o

def add_torus(name, loc, major, minor, mat, rot=(0,0,0), coll=sys_coll):
    bpy.ops.mesh.primitive_torus_add(major_radius=major, minor_radius=minor, major_segments=40, minor_segments=10, location=loc, rotation=rot)
    o=bpy.context.object; o.name=name
    if mat: o.data.materials.append(mat)
    for p in o.data.polygons: p.use_smooth=True
    move_to(o,coll); parent_root(o)
    return o

def add_between(name, a, b, radius, mat, coll=sys_coll, vertices=20, bevel=0.0):
    a,b=Vector(a),Vector(b); d=b-a
    o=add_cyl(name,(a+b)/2,radius,d.length,mat,direction=d,coll=coll,vertices=vertices,bevel=bevel)
    return o

def loft_mesh(name, stations, sides, mat, coll=craft_coll, smooth=True, bevel=0.0):
    # stations: (x, ry, rz, zcenter)
    verts=[]; faces=[]
    for x,ry,rz,zc in stations:
        for j in range(sides):
            th=2*pi*j/sides
            verts.append((x, ry*cos(th), zc+rz*sin(th)))
    for i in range(len(stations)-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))
    faces.append(tuple(reversed(tuple(range(sides)))))
    last=(len(stations)-1)*sides
    faces.append(tuple(last+j for j in range(sides)))
    me=bpy.data.meshes.new(name+' mesh'); me.from_pydata(verts,[],faces); me.update()
    o=bpy.data.objects.new(name,me); coll.objects.link(o)
    if mat: me.materials.append(mat)
    if smooth:
        for p in me.polygons: p.use_smooth=True
    if bevel: add_bevel(o,bevel,3)
    parent_root(o)
    return o

# ---------- central body ----------
body_stations=[
    (2.92,0.16,0.16,0.00),
    (2.62,0.52,0.40,0.00),
    (2.06,0.96,0.72,0.00),
    (0.72,1.40,1.08,0.00),
    (-0.90,1.57,1.22,0.00),
    (-2.05,1.54,1.19,0.00),
    (-2.68,1.28,1.00,0.00),
]
body=loft_mesh('Central compact wedge fuselage',body_stations,24,pearl,craft_coll,True,0.055)
# dark aft power collar, slightly proud of hull
collar_stations=[(-2.76,1.18,0.92,0),(-2.52,1.38,1.06,0),(-2.16,1.48,1.14,0),(-1.96,1.45,1.12,0)]
collar=loft_mesh('Aft gunmetal power collar',collar_stations,24,gunmetal,craft_coll,True,0.035)
# aft ceramic lip and a darker heat band
lip_stations=[(-2.83,1.15,0.88,0),(-2.75,1.24,0.95,0)]
loft_mesh('Aft ceramic service lip',lip_stations,24,pearl_hi,craft_coll,True,0.025)

# broad sparse hull panels
add_beveled_cube('Near-side service hatch',(-0.48,-1.53,0.55),(1.16,0.045,0.48),pearl_panel,0.075,craft_coll,rot=(0,0,0))
add_beveled_cube('Near-side hatch seam',(-0.48,-1.558,0.55),(0.035,0.018,0.40),gunmetal,0.012,craft_coll)
add_beveled_cube('Upper service hatch',(-0.72,0.0,1.26),(0.95,0.62,0.045),pearl_panel,0.10,craft_coll)
# subtle dark lower keel plate
add_beveled_cube('Lower thermal keel',(-0.55,0,-1.12),(2.15,0.88,0.10),heat,0.045,craft_coll)
# small aft ring seams as torus around longitudinal axis
add_torus('Aft collar seam',(-2.18,0,0),1.46,0.025,anodized,rot=(0,pi/2,0),coll=craft_coll)

# ---------- cockpit ----------
def canopy_mesh():
    rings=[(2.48,0.23,0.15,0.66),(2.22,0.47,0.27,0.75),(1.62,0.61,0.34,0.79),(1.18,0.48,0.25,0.76)]
    sides=8; verts=[]; faces=[]
    for x,ry,rz,zc in rings:
        for j in range(sides):
            th=2*pi*j/sides
            verts.append((x,ry*cos(th),zc+rz*sin(th)))
    for i in range(len(rings)-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))
    faces.append(tuple(reversed(range(sides))))
    faces.append(tuple((len(rings)-1)*sides+j for j in range(sides)))
    me=bpy.data.meshes.new('Faceted canopy mesh'); me.from_pydata(verts,[],faces); me.update()
    o=bpy.data.objects.new('Small faceted transparent cockpit canopy',me); craft_coll.objects.link(o); me.materials.append(canopy)
    for p in me.polygons: p.use_smooth=False
    parent_root(o); return o
can=canopy_mesh()
# cockpit interior: small seat silhouette and amber console
add_beveled_cube('Compact pilot seat back',(1.48,0.08,0.60),(0.28,0.34,0.56),heat,0.07,sys_coll,rot=(0,-0.10,0))
add_beveled_cube('Compact pilot seat cushion',(1.73,0.08,0.38),(0.40,0.36,0.12),gunmetal,0.055,sys_coll,rot=(0,-0.14,0))
add_uv('Pilot head silhouette',(1.46,0.08,0.93),(0.12,0.12,0.14),heat,sys_coll,24,12)
add_beveled_cube('Warm amber survey console',(2.00,-0.22,0.78),(0.32,0.40,0.045),amber,0.018,sys_coll,rot=(0,0.18,0))
add_beveled_cube('Console dark bezel',(2.00,-0.22,0.745),(0.40,0.48,0.025),heat,0.012,sys_coll,rot=(0,0.18,0))
# canopy structural trim, kept delicate
add_between('Canopy near rail',(1.18,-0.49,0.79),(2.46,-0.24,0.66),0.035,gunmetal,sys_coll,16,0.008)
add_between('Canopy far rail',(1.18,0.49,0.79),(2.46,0.24,0.66),0.035,gunmetal,sys_coll,16,0.008)
add_between('Canopy crown rail',(1.20,0.0,1.02),(2.45,0.0,0.81),0.028,gunmetal,sys_coll,16,0.006)

# ---------- ribbon wing geometry ----------
def offset_path(path, widths):
    pts=[Vector(p) for p in path]; out=[]
    for i,p in enumerate(pts):
        if i==0: t=pts[1]-pts[0]
        elif i==len(pts)-1: t=pts[-1]-pts[-2]
        else: t=pts[i+1]-pts[i-1]
        t.normalize(); n=Vector((-t.y,t.x))
        out.append((p+n*widths[i],p-n*widths[i]))
    return out

def map_plane(xr, layer, mode, sign=1, center=0.0):
    x,r=xr
    if mode=='lat': return (x, sign*r, center+layer)
    return (x, center+layer, r)

def wing_prism(name,path,widths,thick,mode,sign,center,mat,coll=wing_coll,bevel=0.14):
    lr=offset_path(path,widths); verts=[]
    for pL,pR in lr:
        verts.extend([map_plane(pL,-thick/2,mode,sign,center),map_plane(pR,-thick/2,mode,sign,center),map_plane(pL,thick/2,mode,sign,center),map_plane(pR,thick/2,mode,sign,center)])
    faces=[]; n=len(lr)
    for i in range(n-1):
        a=4*i; b=4*(i+1)
        faces += [(a,b,b+2,a+2),(a+1,a+3,b+3,b+1),(a+2,b+2,b+3,a+3),(a+1,b+1,b+3,a+3)]
    faces += [(0,1,3,2),(4*(n-1),4*(n-1)+2,4*(n-1)+3,4*(n-1)+1)]
    me=bpy.data.meshes.new(name+' mesh'); me.from_pydata(verts,[],faces); me.update()
    o=bpy.data.objects.new(name,me); coll.objects.link(o); me.materials.append(mat)
    for p in me.polygons: p.use_smooth=True
    add_bevel(o,bevel,4); parent_root(o)
    return o

def wing_surface(name,path,widths,mode,sign,center,layer,mat,coll=wing_coll):
    lr=offset_path(path,widths); verts=[]
    for pL,pR in lr:
        verts.extend([map_plane(pL,layer,mode,sign,center),map_plane(pR,layer,mode,sign,center)])
    faces=[]
    for i in range(len(lr)-1):
        faces.append((2*i,2*i+2,2*i+3,2*i+1))
    me=bpy.data.meshes.new(name+' mesh'); me.from_pydata(verts,[],faces); me.update()
    o=bpy.data.objects.new(name,me); coll.objects.link(o); me.materials.append(mat)
    parent_root(o); return o

wing_path=[(-1.52,2.28),(-1.52,2.72),(-1.53,3.10),(-1.68,3.47),(-2.10,3.90),(-2.82,4.36),(-3.82,4.82),(-4.98,5.27),(-6.18,5.66)]
wing_widths=[0.48,0.52,0.58,0.64,0.64,0.57,0.46,0.31,0.075]
for label,sign in [('Port',-1),('Starboard',1)]:
    wing_prism('Lateral '+label+' rear-swept hook wing',wing_path,wing_widths,0.78,'lat',sign,0.05,pearl,wing_coll,0.15)
    # dark thermal underside
    wing_surface(label+' wing heat underside',wing_path,[w*0.86 for w in wing_widths],'lat',sign,0.05,-0.405,heat,wing_coll)
    # elongated recessed propulsion channel on the upward skin
    eng_path=wing_path[1:]
    eng_w=[0.25,0.31,0.32,0.29,0.23,0.17,0.115,0.045]
    wing_surface(label+' deep propulsion channel',eng_path,eng_w,'lat',sign,0.05,0.445,heat2,wing_coll)
    core_path=wing_path[1:6]
    core_w=[0.105,0.13,0.14,0.10,0.055]
    wing_prism(label+' contained white-blue engine core',core_path,core_w,0.035,'lat',sign,0.50,bluewhite,wing_coll,0.025)
    # slim blue channel continuation toward the rear tip
    tail_path=wing_path[4:]
    wing_prism(label+' rear energy guide',tail_path,[0.050,0.048,0.035,0.023,0.012],0.028,'lat',sign,0.495,bluecore,wing_coll,0.018)
    # anodized base wash, floating with the module
    wing_surface(label+' anodized maglev base wash',wing_path[:3],[0.38,0.42,0.45],'lat',sign,0.05,0.447,anodized,wing_coll)
    # engine collar accents across the recess
    for k,(xx,rr) in enumerate([(-1.72,3.48),(-2.18,3.93)]):
        # short crossbar in the plane, visually inset
        add_beveled_cube(label+' engine channel rib '+str(k),(xx,sign*rr,0.49),(0.065,0.52,0.045),anodized,0.018,wing_coll)
    # engine point light deep in wing
    ld=bpy.data.lights.new(label+' engine white-blue point','POINT'); lo=bpy.data.objects.new(label+' engine white-blue point',ld); wing_coll.objects.link(lo); lo.location=(-2.05,sign*3.88,0.35); ld.energy=105; ld.color=(0.25,0.65,1.0); ld.shadow_soft_size=0.8; parent_root(lo)

# dorsal wing, same bent geometry in vertical plane
dorsal_path=wing_path
dorsal=wing_prism('Dorsal rear-swept hook wing',dorsal_path,wing_widths,0.82,'dorsal',1,0.0,pearl,wing_coll,0.15)
wing_surface('Dorsal wing heat far side',dorsal_path,[w*0.86 for w in wing_widths],'dorsal',1,0.0,0.415,heat,wing_coll)
# camera is on -Y, so near face is y negative
eng_path=wing_path[1:]
eng_w=[0.25,0.31,0.32,0.29,0.23,0.17,0.115,0.045]
wing_surface('Dorsal deep propulsion channel',eng_path,eng_w,'dorsal',1,0.0,-0.445,heat2,wing_coll)
core_path=wing_path[1:6]
core_w=[0.105,0.13,0.14,0.10,0.055]
wing_prism('Dorsal contained white-blue engine core',core_path,core_w,0.035,'dorsal',1,-0.50,bluewhite,wing_coll,0.025)
tail_path=wing_path[4:]
wing_prism('Dorsal rear energy guide',tail_path,[0.050,0.048,0.035,0.023,0.012],0.028,'dorsal',1,-0.495,bluecore,wing_coll,0.018)
wing_surface('Dorsal anodized maglev base wash',wing_path[:3],[0.38,0.42,0.45],'dorsal',1,0.0,-0.447,anodized,wing_coll)
for k,(xx,rr) in enumerate([(-1.72,3.48),(-2.18,3.93)]):
    add_beveled_cube('Dorsal engine channel rib '+str(k),(xx,-0.50,rr),(0.065,0.52,0.045),anodized,0.018,wing_coll)
ld=bpy.data.lights.new('Dorsal engine white-blue point','POINT'); lo=bpy.data.objects.new('Dorsal engine white-blue point',ld); wing_coll.objects.link(lo); lo.location=(-2.05,-0.28,3.88); ld.energy=125; ld.color=(0.25,0.65,1.0); ld.shadow_soft_size=0.8; parent_root(lo)

# ---------- maglev cradles, receiver plates and field filaments ----------
def add_maglev_lateral(label,sign):
    y=sign
    add_beveled_cube(label+' recessed hull emitter cradle',(-1.54,y*1.57,0.10),(0.78,0.18,0.64),gunmetal,0.09,sys_coll)
    # violet armored inset and cyan center on the outward face
    add_cyl(label+' violet emitter ring',(-1.54,y*1.69,0.10),0.25,0.065,violet,(0,y,0),sys_coll,32,0.008)
    add_cyl(label+' cyan emitter heart',(-1.54,y*1.735,0.10),0.125,0.035,cyan,(0,y,0),sys_coll,32,0.006)
    add_beveled_cube(label+' wing receiver armor',(-1.54,y*2.29,0.10),(0.82,0.16,0.68),gunmetal,0.09,sys_coll)
    add_torus(label+' violet receiver ring',(-1.54,y*2.18,0.10),0.25,0.035,violet,rot=(pi/2,0,0),coll=sys_coll)
    add_cyl(label+' cyan receiver heart',(-1.54,y*2.135,0.10),0.12,0.035,cyan,(0,y,0),sys_coll,32,0.006)
    # three curved magnetic field filaments, no physical strut
    for i,zoff in enumerate((-0.20,0.0,0.20)):
        xoff=(-0.16 + i*0.16)
        pts=[(-1.54+xoff,y*1.76,0.10+zoff),(-1.63+xoff*0.7,y*1.88,0.15+zoff*0.75),(-1.55+xoff*0.35,y*2.03,0.06+zoff*0.85),(-1.54+xoff,y*2.12,0.10+zoff)]
        curve_polyline(label+' magnetic field filament '+str(i),pts,0.018,violet,sys_coll)
    # soft field light placed in the empty gap
    ld=bpy.data.lights.new(label+' maglev violet glow','POINT'); lo=bpy.data.objects.new(label+' maglev violet glow',ld); sys_coll.objects.link(lo); lo.location=(-1.54,y*1.94,0.10); ld.energy=38; ld.color=(0.30,0.08,1.0); ld.shadow_soft_size=0.35; parent_root(lo)

def curve_polyline(name, points, bevel_depth, mat, coll=sys_coll):
    cu=bpy.data.curves.new(name+' curve','CURVE'); cu.dimensions='3D'; cu.resolution_u=2; cu.bevel_depth=bevel_depth; cu.bevel_resolution=3; cu.resolution_u=12
    sp=cu.splines.new('BEZIER'); sp.bezier_points.add(len(points)-1)
    for bp,co in zip(sp.bezier_points,points):
        bp.co=co; bp.handle_left_type='AUTO'; bp.handle_right_type='AUTO'
    o=bpy.data.objects.new(name,cu); coll.objects.link(o); cu.materials.append(mat); parent_root(o); return o

add_maglev_lateral('Port',-1)
add_maglev_lateral('Starboard',1)
# dorsal cradle: plates on hull top and the floating dorsal base
add_beveled_cube('Dorsal recessed hull emitter cradle',(-1.54,0,1.42),(0.78,0.70,0.18),gunmetal,0.09,sys_coll)
add_cyl('Dorsal violet emitter ring',(-1.54,0,1.55),0.25,0.065,violet,(0,0,1),sys_coll,32,0.008)
add_cyl('Dorsal cyan emitter heart',(-1.54,0,1.595),0.12,0.035,cyan,(0,0,1),sys_coll,32,0.006)
add_beveled_cube('Dorsal wing receiver armor',(-1.54,0,2.29),(0.82,0.70,0.16),gunmetal,0.09,sys_coll)
add_torus('Dorsal violet receiver ring',(-1.54,0,2.18),0.25,0.035,violet,rot=(0,0,0),coll=sys_coll)
add_cyl('Dorsal cyan receiver heart',(-1.54,0,2.135),0.12,0.035,cyan,(0,0,-1),sys_coll,32,0.006)
for i,yoff in enumerate((-0.20,0.0,0.20)):
    pts=[(-1.54+yoff*0.75,0,1.62),(-1.63+yoff*0.45,-0.08+yoff*0.35,1.80),(-1.55+yoff*0.25,-0.04+yoff*0.20,2.01),(-1.54+yoff,0,2.12)]
    curve_polyline('Dorsal magnetic field filament '+str(i),pts,0.018, violet if i!=1 else cyan,sys_coll)
ld=bpy.data.lights.new('Dorsal maglev violet glow','POINT'); lo=bpy.data.objects.new('Dorsal maglev violet glow',ld); sys_coll.objects.link(lo); lo.location=(-1.54,-0.05,1.93); ld.energy=42; ld.color=(0.30,0.08,1.0); ld.shadow_soft_size=0.4; parent_root(lo)

# ---------- survey apertures and flush instrument windows ----------
# near-side dark optical strips
add_beveled_cube('Near flush survey aperture A',(0.40,-1.49,0.30),(0.70,0.055,0.15),window,0.045,sys_coll)
add_beveled_cube('Near flush survey aperture B',(-0.42,-1.50,0.20),(0.42,0.055,0.105),window,0.035,sys_coll)
add_beveled_cube('Near narrow instrument window',(-0.95,-1.38,0.78),(0.52,0.045,0.12),window,0.04,sys_coll,rot=(0.10,0,0))
# small cyan sensor panes nested in apertures
add_beveled_cube('Aperture A cyan slit',(0.40,-1.525,0.30),(0.40,0.012,0.025),cyan,0.01,sys_coll)
add_beveled_cube('Aperture B cyan slit',(-0.42,-1.535,0.20),(0.20,0.012,0.018),cyan,0.008,sys_coll)
# symmetric far side windows for orbit readability
add_beveled_cube('Far flush survey aperture',(0.25,1.50,0.28),(0.62,0.05,0.13),window,0.04,sys_coll)
# forward sensor, tiny and flush, not a weapon
add_cyl('Nose flush survey lens',(2.895,0,0.0),0.105,0.035,cyan,(1,0,0),sys_coll,32,0.006)
add_cyl('Nose lens dark bezel',(2.875,0,0.0),0.15,0.028,heat,(1,0,0),sys_coll,32,0.008)

# ---------- serial marking ----------
def add_text_mesh(name, body_text, loc, size, rot, mat, coll=craft_coll):
    cu=bpy.data.curves.new(name+' curve','FONT'); cu.body=body_text; cu.align_x='CENTER'; cu.align_y='CENTER'; cu.size=size; cu.extrude=0.008; cu.bevel_depth=0.002; cu.bevel_resolution=2
    o=bpy.data.objects.new(name,cu); coll.objects.link(o); o.location=loc; o.rotation_euler=rot; cu.materials.append(mat)
    bpy.context.view_layer.objects.active=o; o.select_set(True)
    try: bpy.ops.object.convert(target='MESH')
    except: pass
    o=bpy.context.object; parent_root(o); o.select_set(False); return o
add_text_mesh('Serial designation YGG-1','YGG-1',(0.12,-1.59,0.08),0.34,(pi/2,0,0),textmat,craft_coll)
add_text_mesh('Survey role marking','DEEP SPACE SURVEY',(-0.72,-1.575,-0.26),0.085,(pi/2,0,0),pearl_hi,craft_coll)

# ---------- starfield mesh ----------
random.seed(19)
verts=[]; faces=[]; mids=[]
# octahedral pinpricks on a spherical shell
for si in range(520):
    # random direction, shell radius variation
    z=random.uniform(-1,1); a=random.uniform(0,2*pi); rr=math.sqrt(max(0,1-z*z)); direction=Vector((rr*cos(a),rr*sin(a),z))
    radius=random.uniform(25,34); p=direction*radius
    s=random.choice([0.018,0.022,0.028,0.038,0.055])
    # local octahedron, varied tiny
    base=len(verts)
    verts.extend([(p.x+s,p.y,p.z),(p.x-s,p.y,p.z),(p.x,p.y+s,p.z),(p.x,p.y-s,p.z),(p.x,p.y,p.z+s),(p.x,p.y,p.z-s)])
    faces.extend([(base+0,base+2,base+4),(base+2,base+1,base+4),(base+1,base+3,base+4),(base+3,base+0,base+4),(base+2,base+0,base+5),(base+1,base+2,base+5),(base+3,base+1,base+5),(base+0,base+3,base+5)])
me=bpy.data.meshes.new('Deep space starfield mesh'); me.from_pydata(verts,[],faces); me.update()
stars=bpy.data.objects.new('Deep-space starfield',me); star_coll.objects.link(stars)
me.materials.append(star_white); me.materials.append(star_blue); me.materials.append(star_dim)
for poly in me.polygons:
    # group faces by octa index, slight color variety
    idx=(poly.index//8)%10
    poly.material_index=1 if idx in (1,6) else (2 if idx in (3,8,9) else 0)

# ---------- lighting ----------
def add_area(name, loc, energy, color, size, target=(0,0,0), coll=pres_coll):
    ld=bpy.data.lights.new(name,'AREA'); ld.energy=energy; ld.color=color; ld.shape='DISK'; ld.size=size
    o=bpy.data.objects.new(name,ld); coll.objects.link(o); o.location=loc; o.rotation_euler=(Vector(target)-o.location).to_track_quat('-Z','Y').to_euler(); parent_root(o); return o

def add_point(name, loc, energy, color, radius, coll=pres_coll):
    ld=bpy.data.lights.new(name,'POINT'); ld.energy=energy; ld.color=color; ld.shadow_soft_size=radius
    o=bpy.data.objects.new(name,ld); coll.objects.link(o); o.location=loc; parent_root(o); return o
add_area('Key pearl softbox',(8.5,-10.5,9.5),1350,(0.86,0.93,1.0),6.0,(-0.8,0,0.8))
add_area('Warm cockpit fill',(5.2,-6.0,2.5),360,(1.0,0.34,0.08),3.5,(1.5,0,0.5))
add_area('Cool far-side fill',(-1.0,8.0,5.0),1050,(0.12,0.32,1.0),5.0,(-2,0,1.2))
add_area('Violet rear rim',(-9.0,3.5,8.5),1700,(0.32,0.10,1.0),5.0,(-2,0,2.0))
add_area('Dorsal edge rim',(0.0,0.5,12.0),900,(0.25,0.62,1.0),4.0,(-2,0,2.5))
add_point('Hull underside blue bounce',(-1.0,-2.0,-2.8),260,(0.08,0.25,1.0),2.0)

# ---------- camera ----------
def point_camera(cam, target):
    cam.rotation_euler=(Vector(target)-cam.location).to_track_quat('-Z','Y').to_euler()
bpy.ops.object.camera_add(location=(12.8,-19.5,8.8))
cam=bpy.context.object; cam.name='YGG-1 presentation camera'; cam.data.lens=52; cam.data.sensor_width=36
point_camera(cam,(-1.55,0,1.15)); scene.camera=cam; move_to(cam,pres_coll)
# subtle DOF disabled for full ship clarity
cam.data.dof.use_dof=False

# ---------- world/render ----------
world=bpy.data.worlds.get('World') or bpy.data.worlds.new('World'); scene.world=world; world.use_nodes=True
bg=world.node_tree.nodes.get('Background'); bg.inputs['Color'].default_value=(0.0015,0.0025,0.008,1); bg.inputs['Strength'].default_value=0.035
scene.render.engine='BLENDER_EEVEE_NEXT'
scene.render.resolution_x=768; scene.render.resolution_y=768; 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.render.filepath='/tmp/ygg1_preview.png'
# transparent-friendly settings on canopy where available
try: canopy.surface_render_method='DITHERED'
except: pass
# color management
try:
    scene.view_settings.look='AgX - Medium High Contrast'
except: pass
scene.view_settings.exposure=0.6
# compositor bloom-like fog glow, works in Cycles and Eevee
scene.use_nodes=True
nt=scene.node_tree; nt.nodes.clear()
rl=nt.nodes.new('CompositorNodeRLayers'); glare=nt.nodes.new('CompositorNodeGlare'); glare.glare_type='FOG_GLOW'; glare.quality='HIGH'; glare.threshold=0.7; glare.size=7; glare.mix=0.0
comp=nt.nodes.new('CompositorNodeComposite'); nt.links.new(rl.outputs['Image'],glare.inputs['Image']); nt.links.new(glare.outputs['Image'],comp.inputs['Image'])
# metadata custom props for benchmark clarity
scene['ship_designation']='YGG-1'
scene['ship_role']='Compact deep-space survey and listening craft'
scene['wing_count']=3
scene['wing_geometry']='Three thick rear-swept bent hook wings with separated maglev bases'
scene['presentation_notes']='Frontal three-quarter view; dark starfield; amber cockpit, white-blue engine cores, cyan-violet field gaps'

# select root for a clean starting state
bpy.ops.object.select_all(action='DESELECT'); root.select_set(True); bpy.context.view_layer.objects.active=root
# save
bpy.ops.wm.save_as_mainfile(filepath='/tmp/YGG-1_survey_ship.blend')
# render preview using Eevee for fast validation
scene.render.engine='BLENDER_EEVEE_NEXT'
bpy.ops.render.render(write_still=True)
result={'objects':len(bpy.data.objects),'meshes':len(bpy.data.meshes),'materials':len(bpy.data.materials),'camera':cam.name,'filepath':scene.render.filepath}

{"code":"import bpy, math, random\nfrom mathutils import Vector\nfrom math import sin, cos, pi\n\n# ---------- reset ----------\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\nscene = bpy.context.scene\n\n# ---------- collections ----------\ndef new_coll(name):\n    c = bpy.data.collections.get(name) or bpy.data.collections.new(name)\n    if c.name not in scene.collection.children:\n        scene.collection.children.link(c)\n    return c\ncraft_coll = new_coll('YGG-1 | Craft')\nwing_coll = new_coll('YGG-1 | Three Rear Wings')\nsys_coll = new_coll('YGG-1 | Survey Systems')\npres_coll = new_coll('YGG-1 | Presentation')\nstar_coll = new_coll('YGG-1 | Starfield')\n\ndef move_to(obj, coll):\n    for c in list(obj.users_collection):\n        c.objects.unlink(obj)\n    coll.objects.link(obj)\n\ndef parent_root(obj):\n    if obj is not root:\n        obj.parent = root\n\n# ---------- materials ----------\ndef principled_mat(name, color, metallic=0.0, rough=0.4, emission=None, emission_strength=0.0, transmission=0.0, ior=1.45):\n    m = bpy.data.materials.new(name)\n    m.use_nodes = True\n    bs = m.node_tree.nodes.get('Principled BSDF')\n    if bs:\n        if bs.inputs.get('Base Color'): bs.inputs['Base Color'].default_value = (*color, 1.0)\n        if bs.inputs.get('Metallic'): bs.inputs['Metallic'].default_value = metallic\n        if bs.inputs.get('Roughness'): bs.inputs['Roughness'].default_value = rough\n        if bs.inputs.get('IOR'): bs.inputs['IOR'].default_value = ior\n        if bs.inputs.get('Transmission Weight'): bs.inputs['Transmission Weight'].default_value = transmission\n        elif bs.inputs.get('Transmission'): bs.inputs['Transmission'].default_value = transmission\n        if bs.inputs.get('Coat Weight'): bs.inputs['Coat Weight'].default_value = 0.22\n        if bs.inputs.get('Coat Roughness'): bs.inputs['Coat Roughness'].default_value = 0.18\n        if bs.inputs.get('Sheen Weight'): bs.inputs['Sheen Weight'].default_value = 0.08\n        if bs.inputs.get('Iridescence Weight'): bs.inputs['Iridescence Weight'].default_value = 0.12\n        if bs.inputs.get('Iridescence IOR'): bs.inputs['Iridescence IOR'].default_value = 1.45\n        if emission is not None:\n            if bs.inputs.get('Emission Color'): bs.inputs['Emission Color'].default_value = (*emission, 1.0)\n            elif bs.inputs.get('Emission'): bs.inputs['Emission'].default_value = (*emission, 1.0)\n            if bs.inputs.get('Emission Strength'): bs.inputs['Emission Strength'].default_value = emission_strength\n    m.diffuse_color = (*color, 1.0)\n    return m\n\npearl = principled_mat('Pearl-white ceramic composite', (0.72,0.78,0.83), metallic=0.24, rough=0.25)\npearl_hi = principled_mat('Ceramic edge highlights', (0.90,0.94,0.98), metallic=0.18, rough=0.20)\npearl_panel = principled_mat('Large service panel satin', (0.48,0.56,0.62), metallic=0.38, rough=0.30)\ngunmetal = principled_mat('Dark gunmetal internal structure', (0.035,0.052,0.068), metallic=0.86, rough=0.28)\nheat = principled_mat('Heat-resistant engine recess', (0.008,0.014,0.024), metallic=0.72, rough=0.22)\nheat2 = principled_mat('Engine channel inner wall', (0.018,0.028,0.050), metallic=0.55, rough=0.30)\nanodized = principled_mat('Subtle anodized violet accent', (0.16,0.055,0.22), metallic=0.68, rough=0.26)\nwindow = principled_mat('Flush survey aperture glass', (0.008,0.035,0.065), metallic=0.32, rough=0.12, transmission=0.12)\ncanopy = principled_mat('Dark transparent canopy glazing', (0.008,0.025,0.045), metallic=0.12, rough=0.11, transmission=0.62, ior=1.46)\ncyan = principled_mat('Cyan suspension field', (0.01,0.11,0.24), metallic=0.05, rough=0.15, emission=(0.02,0.55,1.0), emission_strength=9.0)\nviolet = principled_mat('Violet suspension field', (0.10,0.015,0.28), metallic=0.05, rough=0.18, emission=(0.22,0.015,0.95), emission_strength=8.0)\nbluewhite = principled_mat('Contained white-blue engine energy', (0.26,0.62,0.96), metallic=0.12, rough=0.12, emission=(0.45,0.82,1.0), emission_strength=16.0)\nbluecore = principled_mat('Deep engine core', (0.02,0.12,0.28), metallic=0.25, rough=0.14, emission=(0.04,0.28,0.72), emission_strength=7.0)\namber = principled_mat('Restrained warm amber console', (0.42,0.075,0.008), metallic=0.08, rough=0.20, emission=(1.0,0.16,0.015), emission_strength=7.0)\ntextmat = principled_mat('Serial marking', (0.018,0.032,0.045), metallic=0.55, rough=0.25)\nstar_white = principled_mat('Starfield white', (0.7,0.85,1.0), emission=(0.65,0.84,1.0), emission_strength=4.0)\nstar_blue = principled_mat('Starfield blue', (0.15,0.35,1.0), emission=(0.15,0.35,1.0), emission_strength=3.0)\nstar_dim = principled_mat('Starfield dim', (0.25,0.3,0.4), emission=(0.25,0.3,0.4), emission_strength=1.5)\n\n# ---------- root ----------\nbpy.ops.object.empty_add(type='PLAIN_AXES', location=(0,0,0))\nroot = bpy.context.object\nroot.name = 'YGG-1 | compact deep-space survey ship'\nmove_to(root, craft_coll)\n\n# ---------- geometry helpers ----------\ndef add_bevel(obj, width=0.08, segments=3):\n    if width <= 0: return\n    mod = obj.modifiers.new('Soft engineered edge', 'BEVEL')\n    mod.width = width\n    mod.segments = segments\n    mod.limit_method = 'ANGLE'\n    try: mod.harden_normals = True\n    except: pass\n\ndef add_cube(name, loc, dims, mat, bevel=0.06, coll=craft_coll, rot=(0,0,0)):\n    bpy.ops.mesh.primitive_cube_add(location=loc, rotation=rot)\n    o = bpy.context.object; o.name=name; o.dimensions=dims\n    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n    if mat: o.data.materials.append(mat)\n    add_bevel(o, bevel, 3)\n    move_to(o, coll); parent_root(o)\n    return o\n\ndef add_cyl(name, loc, radius, depth, mat, direction=(0,0,1), coll=craft_coll, vertices=32, bevel=0.02):\n    d = Vector(direction).normalized()\n    bpy.ops.mesh.primitive_cylinder_add(vertices=vertices, radius=radius, depth=depth, location=loc, rotation=d.to_track_quat('Z','Y').to_euler())\n    o=bpy.context.object; o.name=name\n    if mat: o.data.materials.append(mat)\n    add_bevel(o, bevel, 2)\n    move_to(o,coll); parent_root(o)\n    return o\n\ndef add_uv(name, loc, scale, mat, coll=craft_coll, segments=32, rings=16):\n    bpy.ops.mesh.primitive_uv_sphere_add(segments=segments, ring_count=rings, location=loc)\n    o=bpy.context.object; o.name=name; o.scale=scale\n    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n    if mat: o.data.materials.append(mat)\n    for p in o.data.polygons: p.use_smooth=True\n    move_to(o,coll); parent_root(o)\n    return o\n\ndef add_torus(name, loc, major, minor, mat, rot=(0,0,0), coll=sys_coll):\n    bpy.ops.mesh.primitive_torus_add(major_radius=major, minor_radius=minor, major_segments=40, minor_segments=10, location=loc, rotation=rot)\n    o=bpy.context.object; o.name=name\n    if mat: o.data.materials.append(mat)\n    for p in o.data.polygons: p.use_smooth=True\n    move_to(o,coll); parent_root(o)\n    return o\n\ndef add_between(name, a, b, radius, mat, coll=sys_coll, vertices=20, bevel=0.0):\n    a,b=Vector(a),Vector(b); d=b-a\n    o=add_cyl(name,(a+b)/2,radius,d.length,mat,direction=d,coll=coll,vertices=vertices,bevel=bevel)\n    return o\n\ndef loft_mesh(name, stations, sides, mat, coll=craft_coll, smooth=True, bevel=0.0):\n    # stations: (x, ry, rz, zcenter)\n    verts=[]; faces=[]\n    for x,ry,rz,zc in stations:\n        for j in range(sides):\n            th=2*pi*j/sides\n            verts.append((x, ry*cos(th), zc+rz*sin(th)))\n    for i in range(len(stations)-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    faces.append(tuple(reversed(tuple(range(sides)))))\n    last=(len(stations)-1)*sides\n    faces.append(tuple(last+j for j in range(sides)))\n    me=bpy.data.meshes.new(name+' mesh'); me.from_pydata(verts,[],faces); me.update()\n    o=bpy.data.objects.new(name,me); coll.objects.link(o)\n    if mat: me.materials.append(mat)\n    if smooth:\n        for p in me.polygons: p.use_smooth=True\n    if bevel: add_bevel(o,bevel,3)\n    parent_root(o)\n    return o\n\n# ---------- central body ----------\nbody_stations=[\n    (2.92,0.16,0.16,0.00),\n    (2.62,0.52,0.40,0.00),\n    (2.06,0.96,0.72,0.00),\n    (0.72,1.40,1.08,0.00),\n    (-0.90,1.57,1.22,0.00),\n    (-2.05,1.54,1.19,0.00),\n    (-2.68,1.28,1.00,0.00),\n]\nbody=loft_mesh('Central compact wedge fuselage',body_stations,24,pearl,craft_coll,True,0.055)\n# dark aft power collar, slightly proud of hull\ncollar_stations=[(-2.76,1.18,0.92,0),(-2.52,1.38,1.06,0),(-2.16,1.48,1.14,0),(-1.96,1.45,1.12,0)]\ncollar=loft_mesh('Aft gunmetal power collar',collar_stations,24,gunmetal,craft_coll,True,0.035)\n# aft ceramic lip and a darker heat band\nlip_stations=[(-2.83,1.15,0.88,0),(-2.75,1.24,0.95,0)]\nloft_mesh('Aft ceramic service lip',lip_stations,24,pearl_hi,craft_coll,True,0.025)\n\n# broad sparse hull panels\nadd_beveled_cube('Near-side service hatch',(-0.48,-1.53,0.55),(1.16,0.045,0.48),pearl_panel,0.075,craft_coll,rot=(0,0,0))\nadd_beveled_cube('Near-side hatch seam',(-0.48,-1.558,0.55),(0.035,0.018,0.40),gunmetal,0.012,craft_coll)\nadd_beveled_cube('Upper service hatch',(-0.72,0.0,1.26),(0.95,0.62,0.045),pearl_panel,0.10,craft_coll)\n# subtle dark lower keel plate\nadd_beveled_cube('Lower thermal keel',(-0.55,0,-1.12),(2.15,0.88,0.10),heat,0.045,craft_coll)\n# small aft ring seams as torus around longitudinal axis\nadd_torus('Aft collar seam',(-2.18,0,0),1.46,0.025,anodized,rot=(0,pi/2,0),coll=craft_coll)\n\n# ---------- cockpit ----------\ndef canopy_mesh():\n    rings=[(2.48,0.23,0.15,0.66),(2.22,0.47,0.27,0.75),(1.62,0.61,0.34,0.79),(1.18,0.48,0.25,0.76)]\n    sides=8; verts=[]; faces=[]\n    for x,ry,rz,zc in rings:\n        for j in range(sides):\n            th=2*pi*j/sides\n            verts.append((x,ry*cos(th),zc+rz*sin(th)))\n    for i in range(len(rings)-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    faces.append(tuple(reversed(range(sides))))\n    faces.append(tuple((len(rings)-1)*sides+j for j in range(sides)))\n    me=bpy.data.meshes.new('Faceted canopy mesh'); me.from_pydata(verts,[],faces); me.update()\n    o=bpy.data.objects.new('Small faceted transparent cockpit canopy',me); craft_coll.objects.link(o); me.materials.append(canopy)\n    for p in me.polygons: p.use_smooth=False\n    parent_root(o); return o\ncan=canopy_mesh()\n# cockpit interior: small seat silhouette and amber console\nadd_beveled_cube('Compact pilot seat back',(1.48,0.08,0.60),(0.28,0.34,0.56),heat,0.07,sys_coll,rot=(0,-0.10,0))\nadd_beveled_cube('Compact pilot seat cushion',(1.73,0.08,0.38),(0.40,0.36,0.12),gunmetal,0.055,sys_coll,rot=(0,-0.14,0))\nadd_uv('Pilot head silhouette',(1.46,0.08,0.93),(0.12,0.12,0.14),heat,sys_coll,24,12)\nadd_beveled_cube('Warm amber survey console',(2.00,-0.22,0.78),(0.32,0.40,0.045),amber,0.018,sys_coll,rot=(0,0.18,0))\nadd_beveled_cube('Console dark bezel',(2.00,-0.22,0.745),(0.40,0.48,0.025),heat,0.012,sys_coll,rot=(0,0.18,0))\n# canopy structural trim, kept delicate\nadd_between('Canopy near rail',(1.18,-0.49,0.79),(2.46,-0.24,0.66),0.035,gunmetal,sys_coll,16,0.008)\nadd_between('Canopy far rail',(1.18,0.49,0.79),(2.46,0.24,0.66),0.035,gunmetal,sys_coll,16,0.008)\nadd_between('Canopy crown rail',(1.20,0.0,1.02),(2.45,0.0,0.81),0.028,gunmetal,sys_coll,16,0.006)\n\n# ---------- ribbon wing geometry ----------\ndef offset_path(path, widths):\n    pts=[Vector(p) for p in path]; out=[]\n    for i,p in enumerate(pts):\n        if i==0: t=pts[1]-pts[0]\n        elif i==len(pts)-1: t=pts[-1]-pts[-2]\n        else: t=pts[i+1]-pts[i-1]\n        t.normalize(); n=Vector((-t.y,t.x))\n        out.append((p+n*widths[i],p-n*widths[i]))\n    return out\n\ndef map_plane(xr, layer, mode, sign=1, center=0.0):\n    x,r=xr\n    if mode=='lat': return (x, sign*r, center+layer)\n    return (x, center+layer, r)\n\ndef wing_prism(name,path,widths,thick,mode,sign,center,mat,coll=wing_coll,bevel=0.14):\n    lr=offset_path(path,widths); verts=[]\n    for pL,pR in lr:\n        verts.extend([map_plane(pL,-thick/2,mode,sign,center),map_plane(pR,-thick/2,mode,sign,center),map_plane(pL,thick/2,mode,sign,center),map_plane(pR,thick/2,mode,sign,center)])\n    faces=[]; n=len(lr)\n    for i in range(n-1):\n        a=4*i; b=4*(i+1)\n        faces += [(a,b,b+2,a+2),(a+1,a+3,b+3,b+1),(a+2,b+2,b+3,a+3),(a+1,b+1,b+3,a+3)]\n    faces += [(0,1,3,2),(4*(n-1),4*(n-1)+2,4*(n-1)+3,4*(n-1)+1)]\n    me=bpy.data.meshes.new(name+' mesh'); me.from_pydata(verts,[],faces); me.update()\n    o=bpy.data.objects.new(name,me); coll.objects.link(o); me.materials.append(mat)\n    for p in me.polygons: p.use_smooth=True\n    add_bevel(o,bevel,4); parent_root(o)\n    return o\n\ndef wing_surface(name,path,widths,mode,sign,center,layer,mat,coll=wing_coll):\n    lr=offset_path(path,widths); verts=[]\n    for pL,pR in lr:\n        verts.extend([map_plane(pL,layer,mode,sign,center),map_plane(pR,layer,mode,sign,center)])\n    faces=[]\n    for i in range(len(lr)-1):\n        faces.append((2*i,2*i+2,2*i+3,2*i+1))\n    me=bpy.data.meshes.new(name+' mesh'); me.from_pydata(verts,[],faces); me.update()\n    o=bpy.data.objects.new(name,me); coll.objects.link(o); me.materials.append(mat)\n    parent_root(o); return o\n\nwing_path=[(-1.52,2.28),(-1.52,2.72),(-1.53,3.10),(-1.68,3.47),(-2.10,3.90),(-2.82,4.36),(-3.82,4.82),(-4.98,5.27),(-6.18,5.66)]\nwing_widths=[0.48,0.52,0.58,0.64,0.64,0.57,0.46,0.31,0.075]\nfor label,sign in [('Port',-1),('Starboard',1)]:\n    wing_prism('Lateral '+label+' rear-swept hook wing',wing_path,wing_widths,0.78,'lat',sign,0.05,pearl,wing_coll,0.15)\n    # dark thermal underside\n    wing_surface(label+' wing heat underside',wing_path,[w*0.86 for w in wing_widths],'lat',sign,0.05,-0.405,heat,wing_coll)\n    # elongated recessed propulsion channel on the upward skin\n    eng_path=wing_path[1:]\n    eng_w=[0.25,0.31,0.32,0.29,0.23,0.17,0.115,0.045]\n    wing_surface(label+' deep propulsion channel',eng_path,eng_w,'lat',sign,0.05,0.445,heat2,wing_coll)\n    core_path=wing_path[1:6]\n    core_w=[0.105,0.13,0.14,0.10,0.055]\n    wing_prism(label+' contained white-blue engine core',core_path,core_w,0.035,'lat',sign,0.50,bluewhite,wing_coll,0.025)\n    # slim blue channel continuation toward the rear tip\n    tail_path=wing_path[4:]\n    wing_prism(label+' rear energy guide',tail_path,[0.050,0.048,0.035,0.023,0.012],0.028,'lat',sign,0.495,bluecore,wing_coll,0.018)\n    # anodized base wash, floating with the module\n    wing_surface(label+' anodized maglev base wash',wing_path[:3],[0.38,0.42,0.45],'lat',sign,0.05,0.447,anodized,wing_coll)\n    # engine collar accents across the recess\n    for k,(xx,rr) in enumerate([(-1.72,3.48),(-2.18,3.93)]):\n        # short crossbar in the plane, visually inset\n        add_beveled_cube(label+' engine channel rib '+str(k),(xx,sign*rr,0.49),(0.065,0.52,0.045),anodized,0.018,wing_coll)\n    # engine point light deep in wing\n    ld=bpy.data.lights.new(label+' engine white-blue point','POINT'); lo=bpy.data.objects.new(label+' engine white-blue point',ld); wing_coll.objects.link(lo); lo.location=(-2.05,sign*3.88,0.35); ld.energy=105; ld.color=(0.25,0.65,1.0); ld.shadow_soft_size=0.8; parent_root(lo)\n\n# dorsal wing, same bent geometry in vertical plane\ndorsal_path=wing_path\ndorsal=wing_prism('Dorsal rear-swept hook wing',dorsal_path,wing_widths,0.82,'dorsal',1,0.0,pearl,wing_coll,0.15)\nwing_surface('Dorsal wing heat far side',dorsal_path,[w*0.86 for w in wing_widths],'dorsal',1,0.0,0.415,heat,wing_coll)\n# camera is on -Y, so near face is y negative\neng_path=wing_path[1:]\neng_w=[0.25,0.31,0.32,0.29,0.23,0.17,0.115,0.045]\nwing_surface('Dorsal deep propulsion channel',eng_path,eng_w,'dorsal',1,0.0,-0.445,heat2,wing_coll)\ncore_path=wing_path[1:6]\ncore_w=[0.105,0.13,0.14,0.10,0.055]\nwing_prism('Dorsal contained white-blue engine core',core_path,core_w,0.035,'dorsal',1,-0.50,bluewhite,wing_coll,0.025)\ntail_path=wing_path[4:]\nwing_prism('Dorsal rear energy guide',tail_path,[0.050,0.048,0.035,0.023,0.012],0.028,'dorsal',1,-0.495,bluecore,wing_coll,0.018)\nwing_surface('Dorsal anodized maglev base wash',wing_path[:3],[0.38,0.42,0.45],'dorsal',1,0.0,-0.447,anodized,wing_coll)\nfor k,(xx,rr) in enumerate([(-1.72,3.48),(-2.18,3.93)]):\n    add_beveled_cube('Dorsal engine channel rib '+str(k),(xx,-0.50,rr),(0.065,0.52,0.045),anodized,0.018,wing_coll)\nld=bpy.data.lights.new('Dorsal engine white-blue point','POINT'); lo=bpy.data.objects.new('Dorsal engine white-blue point',ld); wing_coll.objects.link(lo); lo.location=(-2.05,-0.28,3.88); ld.energy=125; ld.color=(0.25,0.65,1.0); ld.shadow_soft_size=0.8; parent_root(lo)\n\n# ---------- maglev cradles, receiver plates and field filaments ----------\ndef add_maglev_lateral(label,sign):\n    y=sign\n    add_beveled_cube(label+' recessed hull emitter cradle',(-1.54,y*1.57,0.10),(0.78,0.18,0.64),gunmetal,0.09,sys_coll)\n    # violet armored inset and cyan center on the outward face\n    add_cyl(label+' violet emitter ring',(-1.54,y*1.69,0.10),0.25,0.065,violet,(0,y,0),sys_coll,32,0.008)\n    add_cyl(label+' cyan emitter heart',(-1.54,y*1.735,0.10),0.125,0.035,cyan,(0,y,0),sys_coll,32,0.006)\n    add_beveled_cube(label+' wing receiver armor',(-1.54,y*2.29,0.10),(0.82,0.16,0.68),gunmetal,0.09,sys_coll)\n    add_torus(label+' violet receiver ring',(-1.54,y*2.18,0.10),0.25,0.035,violet,rot=(pi/2,0,0),coll=sys_coll)\n    add_cyl(label+' cyan receiver heart',(-1.54,y*2.135,0.10),0.12,0.035,cyan,(0,y,0),sys_coll,32,0.006)\n    # three curved magnetic field filaments, no physical strut\n    for i,zoff in enumerate((-0.20,0.0,0.20)):\n        xoff=(-0.16 + i*0.16)\n        pts=[(-1.54+xoff,y*1.76,0.10+zoff),(-1.63+xoff*0.7,y*1.88,0.15+zoff*0.75),(-1.55+xoff*0.35,y*2.03,0.06+zoff*0.85),(-1.54+xoff,y*2.12,0.10+zoff)]\n        curve_polyline(label+' magnetic field filament '+str(i),pts,0.018,violet,sys_coll)\n    # soft field light placed in the empty gap\n    ld=bpy.data.lights.new(label+' maglev violet glow','POINT'); lo=bpy.data.objects.new(label+' maglev violet glow',ld); sys_coll.objects.link(lo); lo.location=(-1.54,y*1.94,0.10); ld.energy=38; ld.color=(0.30,0.08,1.0); ld.shadow_soft_size=0.35; parent_root(lo)\n\ndef curve_polyline(name, points, bevel_depth, mat, coll=sys_coll):\n    cu=bpy.data.curves.new(name+' curve','CURVE'); cu.dimensions='3D'; cu.resolution_u=2; cu.bevel_depth=bevel_depth; cu.bevel_resolution=3; cu.resolution_u=12\n    sp=cu.splines.new('BEZIER'); sp.bezier_points.add(len(points)-1)\n    for bp,co in zip(sp.bezier_points,points):\n        bp.co=co; bp.handle_left_type='AUTO'; bp.handle_right_type='AUTO'\n    o=bpy.data.objects.new(name,cu); coll.objects.link(o); cu.materials.append(mat); parent_root(o); return o\n\nadd_maglev_lateral('Port',-1)\nadd_maglev_lateral('Starboard',1)\n# dorsal cradle: plates on hull top and the floating dorsal base\nadd_beveled_cube('Dorsal recessed hull emitter cradle',(-1.54,0,1.42),(0.78,0.70,0.18),gunmetal,0.09,sys_coll)\nadd_cyl('Dorsal violet emitter ring',(-1.54,0,1.55),0.25,0.065,violet,(0,0,1),sys_coll,32,0.008)\nadd_cyl('Dorsal cyan emitter heart',(-1.54,0,1.595),0.12,0.035,cyan,(0,0,1),sys_coll,32,0.006)\nadd_beveled_cube('Dorsal wing receiver armor',(-1.54,0,2.29),(0.82,0.70,0.16),gunmetal,0.09,sys_coll)\nadd_torus('Dorsal violet receiver ring',(-1.54,0,2.18),0.25,0.035,violet,rot=(0,0,0),coll=sys_coll)\nadd_cyl('Dorsal cyan receiver heart',(-1.54,0,2.135),0.12,0.035,cyan,(0,0,-1),sys_coll,32,0.006)\nfor i,yoff in enumerate((-0.20,0.0,0.20)):\n    pts=[(-1.54+yoff*0.75,0,1.62),(-1.63+yoff*0.45,-0.08+yoff*0.35,1.80),(-1.55+yoff*0.25,-0.04+yoff*0.20,2.01),(-1.54+yoff,0,2.12)]\n    curve_polyline('Dorsal magnetic field filament '+str(i),pts,0.018, violet if i!=1 else cyan,sys_coll)\nld=bpy.data.lights.new('Dorsal maglev violet glow','POINT'); lo=bpy.data.objects.new('Dorsal maglev violet glow',ld); sys_coll.objects.link(lo); lo.location=(-1.54,-0.05,1.93); ld.energy=42; ld.color=(0.30,0.08,1.0); ld.shadow_soft_size=0.4; parent_root(lo)\n\n# ---------- survey apertures and flush instrument windows ----------\n# near-side dark optical strips\nadd_beveled_cube('Near flush survey aperture A',(0.40,-1.49,0.30),(0.70,0.055,0.15),window,0.045,sys_coll)\nadd_beveled_cube('Near flush survey aperture B',(-0.42,-1.50,0.20),(0.42,0.055,0.105),window,0.035,sys_coll)\nadd_beveled_cube('Near narrow instrument window',(-0.95,-1.38,0.78),(0.52,0.045,0.12),window,0.04,sys_coll,rot=(0.10,0,0))\n# small cyan sensor panes nested in apertures\nadd_beveled_cube('Aperture A cyan slit',(0.40,-1.525,0.30),(0.40,0.012,0.025),cyan,0.01,sys_coll)\nadd_beveled_cube('Aperture B cyan slit',(-0.42,-1.535,0.20),(0.20,0.012,0.018),cyan,0.008,sys_coll)\n# symmetric far side windows for orbit readability\nadd_beveled_cube('Far flush survey aperture',(0.25,1.50,0.28),(0.62,0.05,0.13),window,0.04,sys_coll)\n# forward sensor, tiny and flush, not a weapon\nadd_cyl('Nose flush survey lens',(2.895,0,0.0),0.105,0.035,cyan,(1,0,0),sys_coll,32,0.006)\nadd_cyl('Nose lens dark bezel',(2.875,0,0.0),0.15,0.028,heat,(1,0,0),sys_coll,32,0.008)\n\n# ---------- serial marking ----------\ndef add_text_mesh(name, body_text, loc, size, rot, mat, coll=craft_coll):\n    cu=bpy.data.curves.new(name+' curve','FONT'); cu.body=body_text; cu.align_x='CENTER'; cu.align_y='CENTER'; cu.size=size; cu.extrude=0.008; cu.bevel_depth=0.002; cu.bevel_resolution=2\n    o=bpy.data.objects.new(name,cu); coll.objects.link(o); o.location=loc; o.rotation_euler=rot; cu.materials.append(mat)\n    bpy.context.view_layer.objects.active=o; o.select_set(True)\n    try: bpy.ops.object.convert(target='MESH')\n    except: pass\n    o=bpy.context.object; parent_root(o); o.select_set(False); return o\nadd_text_mesh('Serial designation YGG-1','YGG-1',(0.12,-1.59,0.08),0.34,(pi/2,0,0),textmat,craft_coll)\nadd_text_mesh('Survey role marking','DEEP SPACE SURVEY',(-0.72,-1.575,-0.26),0.085,(pi/2,0,0),pearl_hi,craft_coll)\n\n# ---------- starfield mesh ----------\nrandom.seed(19)\nverts=[]; faces=[]; mids=[]\n# octahedral pinpricks on a spherical shell\nfor si in range(520):\n    # random direction, shell radius variation\n    z=random.uniform(-1,1); a=random.uniform(0,2*pi); rr=math.sqrt(max(0,1-z*z)); direction=Vector((rr*cos(a),rr*sin(a),z))\n    radius=random.uniform(25,34); p=direction*radius\n    s=random.choice([0.018,0.022,0.028,0.038,0.055])\n    # local octahedron, varied tiny\n    base=len(verts)\n    verts.extend([(p.x+s,p.y,p.z),(p.x-s,p.y,p.z),(p.x,p.y+s,p.z),(p.x,p.y-s,p.z),(p.x,p.y,p.z+s),(p.x,p.y,p.z-s)])\n    faces.extend([(base+0,base+2,base+4),(base+2,base+1,base+4),(base+1,base+3,base+4),(base+3,base+0,base+4),(base+2,base+0,base+5),(base+1,base+2,base+5),(base+3,base+1,base+5),(base+0,base+3,base+5)])\nme=bpy.data.meshes.new('Deep space starfield mesh'); me.from_pydata(verts,[],faces); me.update()\nstars=bpy.data.objects.new('Deep-space starfield',me); star_coll.objects.link(stars)\nme.materials.append(star_white); me.materials.append(star_blue); me.materials.append(star_dim)\nfor poly in me.polygons:\n    # group faces by octa index, slight color variety\n    idx=(poly.index//8)%10\n    poly.material_index=1 if idx in (1,6) else (2 if idx in (3,8,9) else 0)\n\n# ---------- lighting ----------\ndef add_area(name, loc, energy, color, size, target=(0,0,0), coll=pres_coll):\n    ld=bpy.data.lights.new(name,'AREA'); ld.energy=energy; ld.color=color; ld.shape='DISK'; ld.size=size\n    o=bpy.data.objects.new(name,ld); coll.objects.link(o); o.location=loc; o.rotation_euler=(Vector(target)-o.location).to_track_quat('-Z','Y').to_euler(); parent_root(o); return o\n\ndef add_point(name, loc, energy, color, radius, coll=pres_coll):\n    ld=bpy.data.lights.new(name,'POINT'); ld.energy=energy; ld.color=color; ld.shadow_soft_size=radius\n    o=bpy.data.objects.new(name,ld); coll.objects.link(o); o.location=loc; parent_root(o); return o\nadd_area('Key pearl softbox',(8.5,-10.5,9.5),1350,(0.86,0.93,1.0),6.0,(-0.8,0,0.8))\nadd_area('Warm cockpit fill',(5.2,-6.0,2.5),360,(1.0,0.34,0.08),3.5,(1.5,0,0.5))\nadd_area('Cool far-side fill',(-1.0,8.0,5.0),1050,(0.12,0.32,1.0),5.0,(-2,0,1.2))\nadd_area('Violet rear rim',(-9.0,3.5,8.5),1700,(0.32,0.10,1.0),5.0,(-2,0,2.0))\nadd_area('Dorsal edge rim',(0.0,0.5,12.0),900,(0.25,0.62,1.0),4.0,(-2,0,2.5))\nadd_point('Hull underside blue bounce',(-1.0,-2.0,-2.8),260,(0.08,0.25,1.0),2.0)\n\n# ---------- camera ----------\ndef point_camera(cam, target):\n    cam.rotation_euler=(Vector(target)-cam.location).to_track_quat('-Z','Y').to_euler()\nbpy.ops.object.camera_add(location=(12.8,-19.5,8.8))\ncam=bpy.context.object; cam.name='YGG-1 presentation camera'; cam.data.lens=52; cam.data.sensor_width=36\npoint_camera(cam,(-1.55,0,1.15)); scene.camera=cam; move_to(cam,pres_coll)\n# subtle DOF disabled for full ship clarity\ncam.data.dof.use_dof=False\n\n# ---------- world/render ----------\nworld=bpy.data.worlds.get('World') or bpy.data.worlds.new('World'); scene.world=world; world.use_nodes=True\nbg=world.node_tree.nodes.get('Background'); bg.inputs['Color'].default_value=(0.0015,0.0025,0.008,1); bg.inputs['Strength'].default_value=0.035\nscene.render.engine='BLENDER_EEVEE_NEXT'\nscene.render.resolution_x=768; scene.render.resolution_y=768; scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG'; scene.render.film_transparent=False\nscene.render.image_settings.color_mode='RGBA'\nscene.render.filepath='/tmp/ygg1_preview.png'\n# transparent-friendly settings on canopy where available\ntry: canopy.surface_render_method='DITHERED'\nexcept: pass\n# color management\ntry:\n    scene.view_settings.look='AgX - Medium High Contrast'\nexcept: pass\nscene.view_settings.exposure=0.6\n# compositor bloom-like fog glow, works in Cycles and Eevee\nscene.use_nodes=True\nnt=scene.node_tree; nt.nodes.clear()\nrl=nt.nodes.new('CompositorNodeRLayers'); glare=nt.nodes.new('CompositorNodeGlare'); glare.glare_type='FOG_GLOW'; glare.quality='HIGH'; glare.threshold=0.7; glare.size=7; glare.mix=0.0\ncomp=nt.nodes.new('CompositorNodeComposite'); nt.links.new(rl.outputs['Image'],glare.inputs['Image']); nt.links.new(glare.outputs['Image'],comp.inputs['Image'])\n# metadata custom props for benchmark clarity\nscene['ship_designation']='YGG-1'\nscene['ship_role']='Compact deep-space survey and listening craft'\nscene['wing_count']=3\nscene['wing_geometry']='Three thick rear-swept bent hook wings with separated maglev bases'\nscene['presentation_notes']='Frontal three-quarter view; dark starfield; amber cockpit, white-blue engine cores, cyan-violet field gaps'\n\n# select root for a clean starting state\nbpy.ops.object.select_all(action='DESELECT'); root.select_set(True); bpy.context.view_layer.objects.active=root\n# save\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/YGG-1_survey_ship.blend')\n# render preview using Eevee for fast validation\nscene.render.engine='BLENDER_EEVEE_NEXT'\nbpy.ops.render.render(write_still=True)\nresult={'objects':len(bpy.data.objects),'meshes':len(bpy.data.meshes),'materials':len(bpy.data.materials),'camera':cam.name,'filepath':scene.render.filepath}"}