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

Your result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

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

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

## Harness Instructions

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

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

[User]
## Task

Complete the following Blender task:

<task>

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

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

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

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

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

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

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

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

</task>

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

        Execute Python code in the connected Blender instance.

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

Code

execute_blender_codeArguments

        Execute Python code in a background Blender process.

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

Blend File

Code

execute_blender_code_for_cliArguments

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

get_blendfile_summary_datablocksArguments

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

Blend File

get_blendfile_summary_datablocks_for_cliArguments

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

get_blendfile_summary_missing_filesArguments

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

Blend File

get_blendfile_summary_missing_files_for_cliArguments

Return a tree of directly and indirectly linked library files.

get_blendfile_summary_of_linked_librariesArguments

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

Blend File

get_blendfile_summary_of_linked_libraries_for_cliArguments

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

get_blendfile_summary_path_infoArguments

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

Blend File

get_blendfile_summary_path_info_for_cliArguments

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

get_blendfile_summary_usage_guessArguments

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

Blend File

get_blendfile_summary_usage_guess_for_cliArguments

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

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

Name

get_object_detail_summaryArguments

        Return the scene's collection hierarchy and their objects.

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

get_objects_summaryArguments

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

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

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

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

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

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

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

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

Identifier

get_python_api_docsArguments

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

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

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

Area Ui Type

Size Limit In Bytes

get_screenshot_of_area_as_imageArguments

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

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

Size Limit In Bytes

get_screenshot_of_window_as_imageArguments

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

get_screenshot_of_window_as_jsonArguments

Switch the active workspace tab to *name*.

Name

jump_to_tab_by_nameArguments

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

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

Space Type

Allow Edits

jump_to_tab_by_space_typeArguments

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

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

Name

Allow Edits

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

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

Name

Allow Edits

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

Output Path

render_thumbnail_to_pathArguments

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

Output Path

render_viewport_to_pathArguments

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

Returns a ranked list of hits. Each hit has:

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

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

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

Read-only; consults bundled RST files only.

Query

Max Results

Context

Index

search_api_docsArguments

Full-text search over the bundled Blender user manual.

Returns a ranked list of hits. Each hit has:

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

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

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

Read-only; consults bundled RST files only.

Query

Max Results

Context

Index

search_manual_docsArguments

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

Your result will be compared head-to-head with another model. Anyone on the internet can vote based on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

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

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

## Harness Instructions

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

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

[User]
## Task

Complete the following Blender task:

<task>

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

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

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

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

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

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

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

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

</task>

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

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

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"26","reasoning_details":[{"type":"reasoning.summary","summary":"26","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" and","reasoning_details":[{"type":"reasoning.summary","summary":" and","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" I","reasoning_details":[{"type":"reasoning.summary","summary":" I","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" might","reasoning_details":[{"type":"reasoning.summary","summary":" might","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" add","reasoning_details":[{"type":"reasoning.summary","summary":" add","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" a","reasoning_details":[{"type":"reasoning.summary","summary":" a","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" thin","reasoning_details":[{"type":"reasoning.summary","summary":" thin","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" silver","reasoning_details":[{"type":"reasoning.summary","summary":" silver","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" tor","reasoning_details":[{"type":"reasoning.summary","summary":" tor","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"us","reasoning_details":[{"type":"reasoning.summary","summary":"us","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" for","reasoning_details":[{"type":"reasoning.summary","summary":" for","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" extra","reasoning_details":[{"type":"reasoning.summary","summary":" extra","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" detail","reasoning_details":[{"type":"reasoning.summary","summary":" detail","format":"openai-responses-v1","index":4}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":4}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMKu3_pE8WKJMw5FRA6B4Gnl5B_u-ZT59yO9YF-312zUrBoIPSsTV8Tht_2bd8O2JzcqMTBz22JOIA4CndgQq0IwAYZGR3uUGEd7YYBgGn2f-8CgovSt_yWmhSNCCL-Cc-H6elxO8v-KeT8mSY05AgoWPCAfJC1SUvz-nzydreTS_aezHSBlNw4Nw2JOPzzO369IMPpKVhEpFTHbUyvmwwsLstUoJuVSov-BmywSSyGP7RPePyAuaAsmSdOC1_vJtJLCZ0w3m4lPK7x3dAG_Tj53OJmQA_jNK2nbm81OwmIrT07gySDSyG4sOMdRhvY_VDG1BUt-QcQv5Anotqbw5wMZvzPJBNDBJjBQQxXJL3tmbq-6WaqM4YV25vSCsSorzjTrEqbXDpQwWzCKRn10Vzb_n1NPTjdyHUzNETSR7LxrHRo1en-QIrmnNC9ll7UTbGr4Hji1tXICpiMh4-R_5ct5KHf5pfTxvuPPVOCB2tZmwgX3e48iMIfB3Zk5FFnfTDVoa2Bl4XK0t3ov4vU-LH5vMQJ7v2-0ysgKl8oQMDttUNZsSTvZgaxOphLH1Mnfw4qZRwzztHYAwrn3QADY9v31hdhNbUgIREl1jdIVRFNmKQNyqrMniWe47baJofymVN22t6u7gDxuuSCq-BtdnMYkHjV1Ef_bXAoJqhYhUV5b_IfGX8I1bZvZEOa1JfzR3bFXibtjmCewLW_znIu2iUcfm6s2NlKS5a2uzrtKxnwi-xO3w02J95ixF2qc1aPudyhf31wuv4RJw1Ta2qAMOacclxAlrzQhvqxk0nvaR9qJJcovjnFz0S28K9Z6dd4Xl_BhvhzIhzTfVYiVPzX2Xg3n5w-1Vj7EQPqPqUXbIEITeXuqthNayvf6YnoD3UW4jWUPGEpsrZ7TKcunkqVJhpWo4Rr40yN7XrtZGgBrdmps646RQ1CONEF_4VveaAlpVwR0gOK3NjCJ22gujHtyyKdn-OLeoR3mjUh_eGR8BDG0N7YxssYDzf-BcnjpXlexEgKXADpn9X2eqZLXo5JhXht7dqSDl8SLx1JZGaBjaBhlS9SAbHtmE55689n5iCnUY65JCEMsu7xE8bijdpm1dfjoqqMpF2PtJFflVG2raweeIcA7dng6XH5xFwfgHl663QA7MIn5AkQSISdXblkIDJ6FVsAyj2oeznCsInS_ZyPI8YT3f9okib--2oJJcqug1iHNRNfEmzf31VvHCFZGAZiVeoy6Pw8eZdTAG5X4ZtZTnTR9KnqfTwzamcMkWPzbYl_2N2IIT-sP-6oPhUmuquod3AFjowXBiu5DUQXiKpW34RfON3SagK21QIuSSsjRJL0xDEs2cvF-dS-ZL0fz1wHkpaE_0ODnPUCmakrLfK3Cq06LD4YPDw_DcTdbLtRGrjLnkVaunH-6PkBB9wuAKihkn9NUN5SZUoaM_90Z8kv1a5aCxrVuzcF8TXRqaAuqD-h6_Z8KlEEEd_Qg1OoqhPxPq9ID9lsQQeoAjkECxdN56YQHohFt0cEty_WDWeJ5_eNYckAiL-uCpGHQoocUIZESipA_dYmRQjaOULZbK5zjbKTOrPpruMSEIu5eCbCxo0JDOF7iUbheNygSbhY_RFlR1iG3JRtArocsB4m7CJ-NfL54pycwX22uNGwCYpQIMdbW5JLOxscwhXEuk6ZaYFDE6ENUYgpfjb1vlyhybSx0HK9z_wtTVf4g5pWyQ0T8KS8jP1gDgPlMSjsLUFevSHP8B5-ZmpGmtct-J-U99zLp-K7KkelKxIogjxnLcV1-LuEkoWrTUv44hwufvEodTG17Bnjip9c3jud2DGLn-X6TFFlTuv-b85UQ9L2yCW_LK4Jb1Z8TYlZL_WlpgVV48JvjMYICjZxNuXnKa1BR5wvmwJTLy9GVsZhgH9apOIng0FbCQDFDRV7NVqSnsUHR_303eibVCTOCaUJ7I5nqak2hTfiAb1v6mIkXDQvvOmTt-dGoSjl29z5rnW8KhQWCfFj8rFGNZTxRyQ1FPQWyR0K5o-UnLDkgcADLvoExkAQnk3jmaluIzH5jLIXAwVm5eKNJw-j0plSPKFcqGFDNIYe-PK2dN0uumvUnN3FP_gHuT-6Y-Yg0UYgdDeGFIWimC_3qBVXuVS0dvqfzo_3I8-E1gq8JqzuTr7PHLFl6bYsujqatePARqzdOaNcW5jAmmQWfUJIf9cSxhF3X4y-zD3iYJVSurDSc7lUkyvgtajvo-uWcZpsA62y175c8h_p4UAIwj7UA8EyVo6KI9zFYw9UtvqPereYXmJruwy_U-1A3eF3_Rjv7i_0mgc4cNVm-D3mIcic1326aSi18i1M8mZZdVY2o_7ErrhkQSeICYN_5YnR8WwhSHi_C7pObmOrTaO4wKRLb8BZuiU1IjjtC4UfI5QW9s8l2UK5QiNMiOZ4IQ95v8MHhJbLnKbSxHAkhA2aW6FBqd0lG8Exd9H9dhiEG3h4YMnxkW0f3rNW8JgX-_ijvyuPUZM8rYd7ViHEGZrr65tTpy6Y7UkxpJb76GAw4yumPvAXym0ljdMnEXF5pdSduOIzE1_yTRQlaMXnU5kQ70ZSrZhx6VyOOsy4eT9z7jiWeGWbJCT_qodLkwDEplIUz84UpWfXNmLoG4XzOR8nx2aIGw-ishHG8OIv_t6xCtuOmY_kFGf6F84y-c8_L290ym0RWn2SzIbueWPvmw1TRqp5sriGqITsjLTlnMxPllVH9fU-lV-2lqETQT2CcXJT7_BlpAUQY5MhjPp5X1I0XA5G0leDG2-rjUvHCDEiuP9PZQ8qwAwefu3dmXXDSg6-JexaYKbKQum56wb9OKvseyRRMJ17l85KLjYTEUN_ufiSndBirioBJ-A8wxAGDeer-BAjFu4tcUaA_xV7eJwU_eBIDEpaga96zak0ejb_dNKPN2KDzhcwOvJoVrvYjWmD_UhmxEzu8oIW7lF7EbQtGoksWCcmA0Aes_ua2yFEUfjuH-xRZ6ynFBu5XPqvJLYLixnkCV_aae1F1g8ZY5xO392-AtukchrzKgPpRbltzWitVi0ITpI-DznsCmbq9XSgaHf9l4-D96y5foasngte56Ffotgq8OvCJ3LC-gvGAzEDKYJAtPh6MuObG6R98dL_A3KJ80gjEv8SvXsnq4_1vtyHJFkEt8Fi63BVoNdV24JnC5WxEfCFRGz-t1JsFBmIp8TAOJbqiYkgeRhi2BXSMs-bog9xKO0zUdXtVA1J287qGa8oQry-jLkm6_uEoIjGPYvmThOPZw1WRYdzN3ChywBsxL5MJ8jQRLSyPViXbO0mlbe_Pke3zSKxXIw6REpn_4sly0LgzwEO5WuJd967UpqHlUiGf_JSgMmpwkJMVL7VstmWOUMiRHMm4p9HoL0GOps6ra0X6UotxrUgQ_6C1uob1M0nURO0mgz0nnazFvQNO7KAemHyG11sdjZ5p9q5GqFIQ7lDL78iE-ml0QS3_uw38N4Rb7pJzgLo9wh9KEoHptM9a7SAWlIrd5O-kK8n2Ivn54xg_TDe_m2nHeW80q5RiDSfwgaOrG9uTk7gEscsp7tZjWKVALj4BdLwRqx_FKV2b3vxaV3C0b1X8qxRoPWyW3xJ80ZfI3yklcTAZUwQ6monr3F5bIxcjI78ToqPqCzu25ztOkZf390FJLwhNF_am1VxWs803qF20xIV4KIOFY_wl2ZdWxAzQlg0fpo6gQ7EAg5itdLmMg-fvERd--xQrx2ClRwiY8b29FrHiDBSrrcmeIzult62_95xjYR8MAyu1jCo17R4ifodKcQL9rCQEm9Thq6xm2eTIwyQDgTc=","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc2a72430819e986343e9de430aaa","index":5}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMKxQdV0sILQT76Ag-hjpWh5kCsK6Jg3JoV7xJC335dirf3euEW1OhgD1UtFGgYZYugYk3ZC2Nfm308KQRJKayKU_yH6rpmOyd6ZhSSDEhKRTEJ14TR77t2YTkABKFzLPItFTfsHU4-pVbtvRDH9UCZ0IdlJTlvEi3lAkGbYQOCKi69_cOAJt_z2QSBgp2wMbzPg9JRTaIFvt07lz1VHwJYfPXy4HK0ePiWUjKJI3sftPEx1GozaYS0dFaZiYBLCVjJ9j-CLZCHoEimEKJLbhworxInQGNa3qZAYqpepdvd8Y41pQtdY7PlugxB-zmSziEDdBdu17Emu1KsHncqRKJIe3eLkprN8qXdNzTLvx3AYPkhso3GQblTdSbuIVXoO3sDA6_mLM-JjnsOgE1-Sq-0tu-B8k5qKamLAruDlEst05d_P5k9_QCjiG-4gNpuu-uMPhbZTTDgWyq50jCcdBzrfd66uNd-8n7rii1fUWYd18g6IvyqQ5ryqemAdTJYUHt5vvhqRGS4u8vuEtqExtLYSn9IEDS4C1qGmBoiodD4fKj6tGq8AAuLJ11XSEQOJ_SQh4r-82tvj9BAfFXmomo3xaxU-s_0STABnjnuodHZooA2igpCm4PC4m9lQg9Y-hmVvaAEfCd8FvJXStAHGa0GqyIhllbO7zA4_-7kSrijibqbPNdE9ZjVFceyJZiDYuqiZUbv2OYylB69E_n3dx2qCkONnux0PK_eLMkzwoCfQzzs02cHCQT_LEonVgkhgBxOEd5uPsGPO9SNUaxh9vu2bJ_UA2Chr-_0EK7lCGS_VZBlDVis3gc0u5xKrmFxCNiJnijCfTReRIbV5ar9dBhPvve-4ryngZGkPVjUshW4Gto9kEn6OdKj-SOnRIaD2celxxLbAzlqmHrMis8dL7ISbSZV09RE1Yhh2jhcBDN6Ree_gaOckZLjVDjgGUGAWWhn2RP1v_njnC0GY8nc6fjYzzfC4DdNQoNWFvc2j9qfYTNF2pN91lVB7C5agtKBjYwqPhvIr5HWLFTXmI6dl8iDqm2y9_pow8SSSX6EV47rtJ9nxL0ll8f94VAbSSu2Jli0PLokIFxx8rJVGBmAJATo6Ubtsqg5mEAO7_qvsfYXk32HIBfE0IQ3C1DmHh0N6TzYCAjCFBm7kDvArmrAOhKdlN3lLhTvGRjK7a7oJT2lky-I567DKXgjt__yxlAmkPE1SQ30rYCelflM3ZJysUALtr6rzjChsT1rtKAc9ZrFPyeM0JNQ_6g3LFyimkw1wIySsUiG8OHUaqjL3G-NWgx9E8mJQmfirVe0Dcpz5Q-57H0TJRexKIDnAE82DZOzJg6jMxrMW4tv7h6b89EaR0MpApfcFGZlQnLw_iKmC2vXOWTXv562TokJ3WSwVVqjc9-et7AXAA63w4UKA5JCZrpVoZo-HFjXrt8hlxkrctbwWCFB1FUExoc0lXfFfc8vV8VklvqDSkl4cW5A8ea7OBEysEJf9nzx1kC-zX-8HJzZ5cHNk1k6iqfFtUU5mL8f3GEH0eaX19yQPmu9SJMkbzDPNps08hTIWxnZ1jL4cJWK9Q4dXGa6IEs0tQKVkXotOT4I-4U0idrq56nSRdtWWLwvhY4IixzT7ncIf9UERoePFXSXdnIYP8X0KsPVBfx8Cr3RySTDQY5cTZvq2ii2pIjwu7SmU8IHFXTgG3fTqRdwQCEEVBTGFEq-gLpqgli7OgLbJokeGv66hsvF9q82UO4GjlkB64nI_fsTGu8cX7DypELblNssgXQLrsmjt9_cDxKqUUo3b7k2bnatHbovGc4yNXdVrAwVkXS3WgoaNCAEc4qZFQ7B3uUgkjs0BkXhN1AEi9BHURKkkLipsI31q3NoE08BHJ1vubiYIf7JLHsjXsvMqHvn-oDvQDCPpomIw8v1Q7ctHj3FxgAL3UwrFdYDfHWAKQUDSa73tUW0Wyvw5sgHx3A_uhGf3-FJCOIQXrqemcw0lfUueGKh4YnIvBHZbPxH6FWFbVR9vyfcSIYSKRznL6SZipMGP77ES87d-qPMY8fiQDV6z6_Jt2QRp15f5z-Q-_6eHIRrPTgZ_kYXS4V6GUZ7D41DaAy0IyayraFdNbxer0uwtF8O_BcBmUODoFPlmWdH9JWW4Jnxwyep1ogW-dsCqWC8hIPjZoAaETlKwbjdbGGZgdZ5svrwF96VJfPZzjjpNMkX3zz2e6l0cHM2ntuWQg5g0eyI4-sf0nRViy0m5wJS_K2bJiv7xtdY2Hi6cAaN9rqoBpa7igIo-fLrSKcK223KMZu7Q20BvvuFQcGN9SPaKELk2JOmoAG9BLrzjhcWUxHJMVwlkZlp3KPkPSkJ6ZOPOQFR2pi0P3Fp_YUgcLXcB4mQFwD2-il9mQNaX4Gbv-L4INvNT0zUGM2dQHunJLEYHjV_nsr3bD8eLVIDJCvENHmbrSv0y7UAiDJr_fa6Y2-k2JSqsooFgSUb9FVTEovyEpZeFZkN9a8NgCE6AjTlvmAhwZ2bD9MfNYnPGM482LoB11qdqyhs22Kyp_doErmV11RniwouvzL6TlckHJIq34uxR8HxG3aobUMGdq9n-R7k36zUNY2U0yB6dHqrv2gFXX_PvgD5DWbaQ1a7HTk-69T55cxk2Ni6w5mN21bAxfxvwdKJFVEcZ7lvg79MlclTgQN9AqRNCxHhy8jNB2k0sBLukb3opREI_qPPEdtB3yn8gJhaba-8Mjo3kFGLVRuG6jl-Wt1LxArxgz4A4zfgmZoDfuh_eId2TsLqf2cfF-HaCuGya6FolGIExuooF6faKq2Ugv6tDkUxRrB0V_SvXmMaiKdVFn4v7NrcpGRLBvGEOpbdEVJilhd96FWudQTwfCicAO4ULtQjnh0bFhTsi0zY0sO3OQYde4kRAZd4wZ87BN46Ebpzi7TDTl1I1RtxdWEaBRa912OhA1SlCSFa5yzJWMWhAW-JwaUzPEHBvLxplv6_MmJ80FDgkbGiyMEk8m75WhilaEkzDPF_j4vRRmlzG5jNx95SS2fYYAjq3W_Hu-fZF2sOKgq_3GXIVfftTSoqFeYk-DrOEuKArgFnhOi0pRhSo0ulhblgqnzriX__HB-TQjUyC3JBhS7RMvxZt4y4chdpIoAbz","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc2ae3430819eb96c2c35a27d1af4","index":6}]},"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

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" angle","reasoning_details":[{"type":"reasoning.summary","summary":" angle","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" should","reasoning_details":[{"type":"reasoning.summary","summary":" should","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" help","reasoning_details":[{"type":"reasoning.summary","summary":" help","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" optimize","reasoning_details":[{"type":"reasoning.summary","summary":" optimize","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" visibility","reasoning_details":[{"type":"reasoning.summary","summary":" visibility","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" for","reasoning_details":[{"type":"reasoning.summary","summary":" for","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" whatever","reasoning_details":[{"type":"reasoning.summary","summary":" whatever","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" project","reasoning_details":[{"type":"reasoning.summary","summary":" project","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" I'm","reasoning_details":[{"type":"reasoning.summary","summary":" I'm","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" working","reasoning_details":[{"type":"reasoning.summary","summary":" working","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" on","reasoning_details":[{"type":"reasoning.summary","summary":" on","format":"openai-responses-v1","index":11}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":11}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMLEzGN8uH3X77eCbltLuhHKRwiNXN4xUV0_RKZ2QUOb9skYQOpDqG2t5lC7UDeD0tzOQjcjD2WFN1QIlMUvSeHlN87TMG5HQJ1pbjLbOPK7R8j_Y_P5PGraNARIcxbqKudhY3uQxNv9yWNAjrKDzRjNjuLWWcBbrfR5FjP-gczLip0za78J_AEXHYxDUvRwzeA8GElC7MvaIaRdyYkooGkUkkA_BM_oqTC18JZvKM5wcTPqtBZR-C8WxGdPYYxlEgPd-ODLCQokqL4IImnEHqeaa6_ScgSgSyUvoTS3jggP1n0JMyRVxhI2VwR5X0HljdyUyg-2tyACsygS8yauiq5CqZtRWRSlJYqmC7qE4euFA5oEQwoV9y9nRvQZUA8_aAllSRfqP8I4thv4wbL0HSdAMQYzcj-vGHosd250q8W-vno0JSW6hBGwXqAGOhtSJZkwkcwbevY6oGmIoDe2whjA373aqV6xc9TQhOe1JP6aY6DuMKlJGy6EBO8hqBPt8rdooWsvV5tkYWFO4LQFOiPFsJrP7_aAoSR0oFjFsRmqbCP6TSfEADvkDdQ3ws3uf6HoZlV5LJYK1QJwavc5Prv30MM4WwzpmHbf5_OISc61dR8b88gOf62DtV3jav3IymE0Gxwii-J21sGlyYduAW6XLIiyXGmoeM4mSvQ2ai3xQrZ7mfe46NeVMb6N6Z8fUxmnMHXpEBwSdGhRCyA0m6wvXlv3pI6mtfJipiRIy4a7_d2HdkRhv6GQanX5Ul41jffR2RD7Pbe3c1O9BSLZPZZ-Z-d7G9rsoDWrPTze6yLPlM9ETGNAOLsOuUnMlUlS8QbazC7zpo2LG4cfxgUZsCy21ARC60oIREZeGMK68aK6LvoeOIux2KJ4YbJ26g378pOxJrnh8ENc1tC7TvkQYFC8D9v5srcvzoOznkXh9FTeoKfu_Xi_M8nomVKkJo95kgzTVpP42NxzKZVYKkMN1NoHYFy1-8kPnmbR5a685Iz8RP3xkwbV1XnrcbxkTulhmUSVnwBGwAmsVQe4a7RND_sTB8d-vdLjyASutah68mMA9_fAk1p5o7neVYJK6dTC8J3TUY9wFv6FZarMVXIYdSQlV2bEX35bhZ2xM38rErWIugdQoklAogaxzX22Gh54ywGOAItcFglFgWxR2tcS-EyVo7PiSvExBEZ1O9AWP5z3NJ-qp3cMHIfhvKRgkJ87xh4Z2MSh9Iokgl8CJ-bCgtYHxIXyGi4sPathS4LkzBxXgzi2h-np2rKMca3uV1mzPdZzCR66YL1KKBfChXtUkAWKCtsME8xnGT-qx-U26P0Ivu_hGnNRrIwyGWDxyIJ7cR_Pp1_kbLds45CVjTizHBL72xwG509tOubDjmw3-iprohGK2gXDtiyQoNQen-tC86YJxumxbt0H5HugozWUvitMsop7nIStiw2J7Z9JIzOyLq4e4YlvjjkIXxQaHIGyuV3RC-CSYeROiq3NU_jaekNNhXhVvLzF2xCp5PsSc6Q8lIavb20sjX2sqXi17ETRVwev7QXZcW51KIDK0YWrqZ5SvgcD0uxSEw7CFfVZQnQle4rr8wEeuM3owWYYoFiZQ-3ZAAjM3KLYXfejMSucpfluiWPJ_qXuQqErEcYI5h7p1FvnMjRlEypX0MFZboajgCyTbGAdwz64ItMTulJnqFzQZORAHdc9u6IyG1QjHh6RszkEZ-8hLxEWE78hKW_A0ymMQE_UI-1jethkopYcjTqxx-P3iewTKhRVDErXQL7HypQOAhgRHJq58wOBgUgV7zA8AOiZzVMIFaOl5ESJCO8W45-oaEPmRmeQG5vWeyfjCsolgMj_bTyNY_EGui6cJy-nPRR_vwAtZSjGWeWeQvm4pJ6YMq1RaHJIwyPDWf92sVGogRrlLO4wKdN2JOzXOMJaaPJ6y5uNqDO4A1LdzN2DusfI56sUBMGOLb7ureydBlRPQ3sPaFpEXtZhqk0f3MtsFr2jo5VQbzzH_vLzc9eVdw3Xp658op450QwkEsRc8eNtx9fs-JetIHc12HHwKUP04E703lF6WzuA2SrEZXQINx6DXtbSZQ9X60vanGITBcLUNkb6a0thWOiz2gRzJRkIlfKD7vkh5vlaeA37ZPrmpvrAoCQsNNaWt_OngjMlOxlx7-MHJoAlVKU1V7t6EHEqyHE10HKhbzdNyDiy90bWySynXJIfcZQZVARrkJKs1GunEMc0jLe0HfYHkEDUSvzNjBSy86I6AKLmGfnJZ6qfkO1NHQfaAG2Ir_IyKEkyPc75SgwUE1FsYkkloZYfbvmZGtWqS4mkaL46w1BHvd7J_rTyuSCtuyxRBCVr320evPuIa1kPdXmgSMjqvEgzvPXRBihi0x957pY0_mHOZhqqRI3rVuNE_bPE2jep3h7dDIQaVGXVjg_CuzxelTskQu1fOBL6HlhK8rj3yTZgQSnucrom7rQMmmZRcWYeukouQS_kdi6CWgw8DgEAt2A7T283TlJTdCZJvkK-5vaiFCGDVE3VP_gS5KflGA5jLSXLHQmZNBR9GRlcY9kJV9Sjdtu13UDrIu2nZ2Ng8a9wYkYBXWhqpjrlT9Vdc25Bye0Ze-E0s6DLHuL6purr9M9W48JKNSMw2oAMYIOYwT9WZiHqbP5mcVKKbyVObMdd2fdFekEJQ9QTUgS7AfDgmbbydUjAqeGGI5MvzYKFFO5bIhhtnSde9H8mqwJKRFPtcs_VCvqF0iobkmlvwnVKnksABmzQtvFxMpte2v356QDSsSUFjn8S0fc6SkmdiECXQcJC1TU_VbOqn003yrlmCxU8rzyMn22hhCTHlt70FNnkuaTtTp-kfHTGrsi--m61LHc0MeCpWR97R6hsVIanGzigLUCTmo6wEk96YhGf60XiscEHaseYGEaYt39yWqqGVx0Fp69Z0DCcRbKBB0tDe8FZvzwvTB1gD3qscAMr8qGKqJgpvL8SPjzthudWUGC_rRNkbvVn7Gu-5tjDgXhYRBhVG6nI47Q1mgEjbuxxcfU61aHKz1_G0zOqSKmz-2bLWO6ctDznvv8IkoI5CKgAtDEC4BJxQW6CeRK71fOw3I90XAbmjdG5fF-Qfpse5DSQvKfTNANljn__aRHpQKnyqo5AeUTIN4GOsEFpkhy8hh9R2fhMLxQvTZDB-VAc42oiTlHnanNBK3hmSBIPih4uQ6Hqhl6xuZa9QNXcu4DDcKvOfvVvhqBPhYx3EtyWs9khqSiLn_mVtupkxJhciH9yRIKzY7qF-2QWXtvl6nSa9Um-rtbIMdbO0i79zUpSUuiZoCw_2UQc0jRDk3J9fzb4yhrmFbPIFIzMErb8Tte1tTLeWQwxQu_bkOk33qls6T0AKELyvMei4ZZe4gj0_pko3qVQ5iJudevgrfpeMjHQ-0EbCIDe9sEO64TXO81O4cUGl6GUOn9u6RO_eIdBjnZqwDxVeF1rf0dw87i0-7LY9ivW2Non7KAsF4VwOu-iQDju1iw3NsFZcUwr7bCY4FvOmWfULvq_0DFP1-qozeSpz-_VN0iOxyLj55tVCylBXpSoso4ibsFyyfwvd-KdSuMDlUo0D3WNuncD6iPD5spS0yxvE2WYWYOWysHXajL-iXhpkkygiJCUJTAWnxMgNcxZhq6S7-hKtD8xnzOU5ZLy4cWOK4dwG57ATAta_Z8tZOCeY8Xz2uI=","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc2be5f68819ea6e73287950a9d34","index":12}]},"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

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMLIWAxctqALPoniYqSFRvEh_2kjTKJS4Nz087ipvbR6Cb60PT2EnyVdux6dQI-P6seawKMmIfuS1IHQ4caT2EBwkPouZWhVyqBXhh7MMCK9A1TRiAUUkNQYodpsbcQXTb5xE-ULn2n9qIFfYc9uD-Mcv0odEYrYHvk-7aHGwRxSsl-lwoempcuay8Xr4itdkiey9avNSOX2sgq_ttbwjmeUtHUhDE7jWJ1Lx_j0NA5V8MuLO0nOpj8yoG948CRQoWrE7goPJJsttWi37kCuvzQQCdVcujNlHID9rQR-GmLmietFI6ohyaikc0PE1tRC_JctrnTYcc0NXi3gEbIgtmYPGDc0GT_2qFeN06w3_ZY66rW_Z-OjZvK49wuSsZ5w7d_0xglUwpuNao2BkQNpSlmwaRjNptCDu_pFdVy6m9zc4WG2ryM4IhqEe5harDlLHs4Ezqi1v1olOxtpDuJUZDFWibV_zpKpsR_2tRu4RntDX9wuik2SRiiH7HJ8PaNOrge88c_SaxDl9ErKvWn6Y2q9lPqkbKVkULa9AOZjaWbCuFuvNQE04X2WdnIsQrOz3Q5YndVYwX3TZ_AE7EcA8R33VOWL9QCWRw1NTtFNkqfmhadgm0bdcgbFXg7euxVjWfR8yBo4hacBIBvE1xxMGDbj1wSoGw8guw7IG_8c_LbI75fqD0W-6VaGX07TOur-2tsZsvqStdIyw2fnRbPju0Tyrk6vQLpHMTzpNXuLtO2M0-xSajXaa_Vzp_JbWdvdyBCv5-3a2_suRvVn6458unrNo6djfMDy7t3EbidM_d-RXn_ZgloIwh-rudVVPU6TsoWKI7QxfWOgTKJ0hzo3YpBld8_LE7Yf-BFrVI8nUWf2b1n6kB-rItoj5QaIw-WXp9TBcMLKbeFQAGtgRR9ab28NmEfQ-v8Ec55bpT6QWFttwLqF5Y-rNtOTUjkwIKcfQWdJTHj026X85NQIumvTNCwk4XT6a8SelEO0xlFUb5NxE5JKeWKzIXyYQKENShIotDEZpU-rFBwynXjYttPMwTIiA7KtTggHcGgt9hwgdMTpRdnwqnbvSuiFz5CLYdaaszf7j_2brDQuCE4EihREJBw3Pc1BAK6dnpcvXCUqOFbK4h3ESl8ep9fBMKOJGqHSwN8AB6EzpZbdcQ_w7FCc-N0ZAKvQOD8De9RMr-9BE2VanATu_x_k-DxTWJ16qJX--aGOl9X2tXqp7hQqjTFUn84O-XO9HmxgK821Mqdv1hDIO9F9xRjjjYkl0dRCCoTQWx7HKfQUuzUiPE1ku0_egToBFvP_8KcbBMgFGEoZSpVav7xIu5gOyYqTC8RIng0QC8iU-hA-VToEMmBm9-1ytQ-dUEDVT-MmSI9pKdbYPLx3zcQE7VeH7xJXCnFwh-bYFzA2-FMQZp0_1GjmRaw-OgKnnkR95ik7HrTtPNVKndCUlZst5kNbveW05HTSB3Z4fIU6FoZmuB5Zb9Pq-b2OTTwHrPem_Fu3F5Njs8mK41X7xKBs6z9Xw4m_Z3EUzl5sYwmkXQRjIlr5t_FRAlVgAjFCv7694IRo6FaoiXcNDTA0unbbh7WiWw6fTrf9CfCMAYs2RhDmQw21zaPeqHdaEhKHLW6pI2uwsrrdiuOzni-yhHpHRbXV8gAaNnccx7WaXQ-oDrF5fQn9zA6yCvPCMe9MOmSuEaq_6tTqO7LtQ92JlWB-3s8h-2yx9JWQ6cT6rZ7vr_mbsdE3glCey1vjmVYQMd8wXIcJvO4lI6yFOymrPD52oeE9sZbeHJ7BY8Zz2xfcgCTMuom-9q1kz2cS39cqVB55b1Yig_pSq5220kpiybIRwpJrglrHoFMlRR5591lPycLr147wtmYQu6pAo3-d0skiX_F_n0CQOaLmSA0-ANisCUwd6xo1CL3JvLU-CtUey8buzQK9YqVAOU72NPZiu8lEOeNsS8L7liPKni1-51ewgqXh1BCJlgDc0EpIy4VvyHQMnk3P8xt6HsgOINEcY5WaIZFKfpGMiroMGw3T2hthINEBjYAg6B3Y8m0vaYse6hLr0WSlTt8c2gbktRhLsIzX9n2wmdz1yVtPMjIXynJOWQzqiWjyOAFbUiUEvziibKr-28_CxrNJo017RvnWU92LkSbr5hz9eE8T4ngoU2CG-n4ChR5BbyVqHGuJc15tenBYBNjT4_7Fx6bLN0OHpDmgnusaq5TTTcP1NRO9FC3yPqLwDz2CYZEvmr9FOSyR9Q-IAbxQTx-k0NmdKOZDtsbt_n-e9qdz02L8YwpsUxnT0a3ayYhnhapTcFISzUxsQTG3rnfGZyz0u1Q8GoKXj07Eficqhndg1Nsmw8G_QdmILQhk5aDcBHG00wIUVQMiz-HQHjAPjFwTrA-0qo3gbMvFsAVvr3q46TATsucomM0efFVUyGQVvjHe5rk9d26Q-vIXocLtSA-mwmw_BG2j-tMFWOHB8RWZay8Rzk10QrzhsGOUu4-G59fvyfx9QLxBMSMggh97fEPby-9oIbLYFr5iuREPCu6zC7uAaaoIsUaXHnR38ExVZa7Z0nclZOOryuokSA0i1xopx3RUHmA7LXVu0R8_CK9bdaVvD5TO0s71pCY4QhA58JznUdtcmHlXCRgiCUB3-gjrKTNAYprDgo_oXz2OZ_V9PjbnY1g9qd18LSsKzbrLLEWtMpWpxldmLRMAIfgKXncUR4I3qxf-_UAAqqfD27do-FmUp5HpjKq7_cevsuu9gEjTzGM26OKgKWqXAoQqpDrnL4QSi1C39rPi4QCLomEMjwbQqY4sXyicl6Faq8wnPFIh9g1QU906cVPMK8v3OjQJQo-6nQ2FbVCXl8bO2eoreeI4skAVpFPOx0bvvzbdw4C4vLq2x_HtkHNGiwM3o-rcq3Lu2wQaofsW1lac1law0fEIv-WA2dGHLTZPBsWC_7asD3imfilQRGFQ3WanBocNqjKw77u6wsnz_p2StObvVvvLYc8kHiWI_2efSVoQQbrjhj94cHI_JClgfoSVqCkIzSROswF4PchA8V8gUO9ZGIZTfr7YTrkWDcrmG69rBqaHTwHlaMDgOolAZpKCUTin55t8dlZayRIKme0cPFodXmsIZYcJhJLFd6hopCppFB8im1EFWrQbdZc6k85sW_6Wa1X3oSRbdBdv2KAaj_XVbYo-WtozMXVBCMV0tozzStYGLDK60kfpkeDERDYUuZ30M-A8UqGJSLjSweyspx0-mY0rw4e0pX-1AxikbrJAiJJTUT7WAIjcuj1IeCp4kphPq0rWEisNpHtUZ1qvPSlDGDsh5gRZNrx1LcvwRS4hCOqKgo_cD0HMmZyn9A2gOuliVd9o5_ntGWukX0hfdmtMpfO_gbkSg22u__lT_wvj6AuAMoR-CsAMu_TK1mFXHoXrxdwNSPn3-Zt21qSDof07hU51BU6cYl2paoDCr2ZnHExw3wwqoDJbFG5SxsOkFMfSZklHK1Syjpts2fur9mjEovC9qSvQeaXqL1Wz6ay0bub4eHiY3QLGV50uXg-TCwgfn2DB317i7-TcCgahohqwvjc2RoMH1k4QN34hTyhBpMn0AA-mqITjgnVCpr-hIvPteOcUmIB4tuahJpvqNjoRJAwtRKR_-prPEQD0vHREDfkZi8CjA4txTX3o1gGc9BqSfREuGca6c1DCgQwIaUqi4PpL18NUUh3COFZ0owgKPLqBHWRJRLgkFErvEKo62yyW6XIPplzQw2fnY7JnhgEoWVmpOuoFaLzjvEU_m09tkZt6Lq5R-DElqqt7eDzQWnUOnlTGhtTZFusu5dQsaD8lKg8UMiM8Wflp93iqaZQUAlaVZaEnjvOB","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc2c45724819eaec1d3f0d05e2290","index":13}]},"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

: 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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMLfKNOJPRq8tEERgQ5X6a-xsUCXozM9pU4gpSzI6kMA2XFVhf8ORMtg_jqGldVWMUaa8R25Bn4Uc3YIiAJTRd1rt4GtqsZNrd-ePOrfndzq3hVCPNuvE1Xe_ZmKnVy-BiFzbIs9o_uWg-QsAUzIL3Ubs9g2wzR3XS3qcoKZjWpZXrowsnaPP6OPgLSpLd6QU6njlq64Rw_VV0uLYLPPz6xn512MWTSQKj4zWhpdd0UMEpwI65Z_pLzLjjHskedlHcZo6RKEdoExmOr-kwEl3zoY4V2kVld2tYwxUcMum4mKZAvFwcZE3t5VoItZr8pzG95tJM_RNi6PfPPnOwxfaB1SxpVpUTk1f1LSAZl6l3h5q-ocGYZnutEfMWgVvSM7s9kQF2tKDFAQZ-tFk06N1v2OO7paxl8GrlQAuBd_te37isgxk_QthMlcXB9VI9ZeGBHox6DSTOJnQ2Usovi-XK-aCLS7WaZBu9X-ZT__Czxf1Cfx3OAZwu6ZDatUQjxrO0IgZ9OOu72FsKLtmtYOTT5j9qk_1Mop5Mb6UKr9yCE-pzJKNsXSAGrhnlnL84k69B9HTZnoc-laoaIWcyxsaeJEaHm3edSXLzp47KPPqkMvMu9yP7g4Mg4KKurbo8GBfU_fom7KAHOklUsGMQiLgdbLPfcvO1s1VItCQ0MS23of5zdt5KuoT1xyUGP647m7_vKc3y8r4q9wZ1ke4w5-wIVl0BWvUIh_Gt_1SEK0qPFT5ImQP0Mp_Wi5MYlW4SXsMDpKbN38M3ZdQXt8bszl-W_AJa3U3rEeZhb_b4Z_Zr9SRIo1Q-B0CnZUZPnQCeqrif1xQYZwxdyHDYaNOQrwT6mcTZUHEZa-eHiiR82PKf0uBEca4CObHq2v5aqVf0fXw552DA-0E8glyIccI8ivGKfxp77ZZ0CeUqrjnqEymqdbhGzNaWCFtGhFLTdTLMVMCpvLiz6U6lmqSWuXWNFblFSTeCv1pY231Oo4LJtkRkJ8NWPC8mn4ZgBdevzmFouIQVEiw55wrc3vsjpkm3hcP9HhZTL-3-CCxq_JLfONS3od6Nq7COon25PVD7XBtG9co0fShiJXtE_CYerir-va93NEtRDRCCBtWU9SeXgK9YDFWaW2XTM2wBV8-2UaD0yCAj4C2kABbJ-x6ibtDlYHYiuNpbS7ioakWeg8W1Rkyy_0Jg7K_KrTP0lPwIOkycWEME84iuMDp8n6eY872xUGgRilbMO3xRK-KwDWgDtUVSUzZoZk3cRDPOi1E8z4exgEoinRtGPOf1IcYks3YlFr_ZaCdxnCJrSiaOG2gH0a6jUbzTVJ2HJ_sgn_cb7arIqYRsuIvH9ghJLs-Ib1FRdiKoC1kwqIUg3EoAAwH5qWhkeTzeHyoGhPM-lP59Cxuh3vdDqV3Glzd9wl4sN7zqATQxuwTKVDFDdU07mLv4-qiAm-m-5DJghyemeY38E7xVHiMeM2674fdVUDaoxgTZ7XrrJgtYhi6vDLx64Cdq82hByEMjzWDs5bGP3qae7AKBvZljpwDqHexo9EWXfCR0cqZCImsiK6C6wQQByl6qLkCajbuFlXJrO4YzFx3JHrV5iSP7IbGXtewdkQrzCBLrK6pL_1F21YguB2DOzP95nm64EXIgIwgW9Z2VpOYfs7SGIqQ1n8zqnIogSNPXOsNogmVNwd-JwHYCwQiP0iZU1oYx3UGjfwcQLkseWub5BfS6x8zY1Qkh1inh5xpaVxwHmW0S5Y_khoYr9bBMXv-JZDwn6HctWBSPzu24EDWDfppPqBi95P_shO7_jiO-iQjM_PxB49OGt52eBy8MtyO1xEbmJj7fTbj2z9V-_IK6GK6Ty4PjjSbCTkiAuxFXIHXz_p0fwTlXcN6ZcDUyTvBcMVrjoHkNNy7G-drQetl9AI-WS9HH9Wuwjb54iANRQlx6TmEyDfqboibOQ9FsO0FJ9w6s4_Zk7ct1MSCHLC_NQEurrFALP90alTB-MEsVG3XACtvn01m-txTiUP1ogej4yU0okVls3DsqLycqY1tVZMGI2ogI3lmHkbcg-DCOsBwC2nE4mDTshYkauN0UhbaPFzG_msC_XQcYs4XVB4o8YbSme18ucmTRWf6YaKPgtvU9U-dqfKOIKNK0_rJT_h1Eme2Zslu63wm-f97U8ZCbddgaFKsqeEk-XZ0FieIA0ppkBTOfoTatJBe2NXsslwA5z9aTn0TgkfvVtiyRq_8TQj4CROUwL9qKW-8BSbAnqSZV7dp5eQRZdPGIY_i6lhuF2MSENbpEODeX5-dE6bUm7N-el1awrOXHZysI5eaL8zdxZhoLl3N-hyeBGhUiFUtgLKrskpa6tWTO12ab6EEGtSg7-RKLGqjvD1dET94UDn2VD-qHzxdPLTkbEqsm0rVxYjlRpJRPjg3OdbAwrUuZLG8bf5eUWbmk8ltKCpp_OWi1uNDKSy5TJKBrcdIp736BCZG5B9oVy9b43ESg1AS1m8jBJ2N-5lu0CT5gexXkkVuhnpu3Q6nVBY7gk03ZjEg-iRf49qAv9mvy1ZyAvUWhc8Ad7O_JA-WI-S7cLbQ-R0U_B66hlq99GuI5hEhYShli2sHEIR-pQ9T5ngC8OO-D7Zx0f77h-Sp3m5e_jryRzhEp8rMiUf73jtlNlIJxK6AI8zB303VBCHDtdbu7i9WO3cMNX4DxdZt5YzDi3HuHFjqwktWTztnBJozFZqBlJSvk6S6ayub61L14d6vLEmKHQ-fsM8K9Oy1IbEiG00q8Tptl9VTQZ8Oy-0PczThfj2TT5qmIn8xrgZjuWthzT7YY7eE56kwvdABlEbJa2VjIv8adiL_tLULaRzIl78KxN7sNDagsP7858fDQPVyUHchJGF9n6rl1OepqcBVCudCi-nliGXK3CE9Fte9t9Hm7Ug-tjOsd1BfkynHZRhlEI-YbS1BrUkZEjCXYDgiQKKZER47NuCcB36Bq7_Qrq8QIP8da5KYSuy1cgOsTAqmS_V-wCZYEVLpPeNMAG87bECwSm6gP6wKbsuHyVAq3aScX13rbLo5XeGU11t5jY6kns_DZ4g3cVBDC5rsyfsyUB3rFR7xQ3I57Kun0mB0HMCpnkh1r0e0m7tZWWsNjoSsHydS4tuiVz01EeQ3OfItCLGOpQrNpOyLD2udyYYSHLeUU9e2lUBZtIm41_weaZHuAHhHiHLnIsGkGPdsWQm0ZVmuo4vYAf3qwOJQx_BsitUcf1Mbs6IDB1q6djVRE3Maw4E-BYnKrkeHyI6k-lhzyVExhdMBOt8uVIGVEa_Q_xgYaSaBYpfp3FyJFrJQiGVdDNtIgM0obGeON_EqnaY1xt0GM8p400Xw13mL_zyp7KZXTFVoQ1GD9ht8ob9cpQVfG32B07mwv6Mtx9aR7WS89k-QrvErVznY5KyNltBqem7xL-g5XYu2sBm33gFTIaqOIDCYumoqonAJrjIiJUxRrxndF0-muQW1Ay1aaRl5BXuNLJDFVOqOsLY7Ts4IaiQT2KbNjPzL0ZuQQTZJtlWS03BNmZdt6w8eGKPum9_krnpND1qLQidlog1JMWHZwx_ME2OUTfBpMGcINPf1lDqUGbi3JN8KIPotJu__m6iLbBS4Hw6ronEeCxmDLmnzO_W_cgZHD2vskv8l31m6177R8g5K7-e1VaC5zZRuhQytXEfYtawngwlybmS5CcVDNHzxYEisUKcSQyfISae-Xqs8QVToxLWGrbk75chOdG4XlU-Q7yfBhfhoWtAhgr_yI9bMLzzEPCMDddF1Pt_YxNtzAVK-li-D68VNe3ehi5COhMrKmJGTbCNLzHjTJ9B3-Z-TTRmzWHUYG3CwXumSl_9B7XmgnmEfUr-mjhWu1QavS7p_06LIpNn49w4Zx4HFX28cFSwGjI9ODckGnXat1kbrOBKuBEe_hFyOCctt_v3bftoLrzdq9jigwstKmFTR5LTlaEEyn_PPMEQBi0oQSQNI2MGZt_DZ1mFYfKPscRMLPO-BWMcYf-uQdt8x98=","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc2da34b8819e92c824d30a5a74d8","index":19}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMLsSxp_ffsIESKWghUpjBeIgkCwswFZ8aQwYvWNfMACmJRo2caklQcc0BUaWH9M9wu57oHR4EMF2DocC0uZA15Em6E8lndiLorjwu4vKfbdVn31qgVqc2s8ls8J4GK9WggTKrRiB2JGnv15RmWgVE7MYaZ-TgFNkAyVgo5LAmsYPA8oz2iLFvm88RfhPuuL9yuQqOBT1_XoQHgnczDvCftsf8p6lx3iSbxzLhBc96T2I96vcUFB931tvEljmdoKB__J0_wY3cLFpjSEZlFvFKI1LGfDM4j0QLYB8V7DAGNSrDPR7jQd04A3WRhPZjfz6MflhDIfuJpdGJzauFUXgYjEI3nFw-qtfirxX-lPDwGnhTiMnO7MG69XjFeZexCEL7hjpnkSVBn2vTeLlbSae4eUUdSgsOvK6cyilLduVeYrBxmK2PzEW-ViiTWuAkSyxaF3TZTJv5ly6n9PaOuUakHqyWl5S2PE8oxfL-FKt5JAFJDsGl6jDPllP2vrYnfzDLR1qJzZgbzz4ETp7_Yehk4DGDv0UpEMVea4U_fsQyonUZCMIRkJHlhetTOAAXZqiSU3nHzeJvm4PaAy34E86ZQS_DKoo7yNVPmRyriEQSEgIWlKCSgaogDG42ecUtNWkvf6Azok-yT83nIghFGMJEY-bY2ZJae1p-DtDwaP3rG1KCc98zH3SPN2mSr5VLiIyUqoeLDKJI8IGqdn6yDmdoGv-9bol0TP1C7t004rE49m3NN6B01ueqdy6NBh2hC5Fq_EMfsaVV1ITCopw6Ej1xrYOcCxj_H777ERZcOG6tFBMXh9ut3fwDt4xI66vlmV7c6q94qUkF5HhRGbKRYKpJKMeMZfYTU77mkP1NlFABgELI8JXIOUO8nQPXkPwquU5Qy-_p6Do_gcceMXjIXaHKhiT9ObBC6LqErH-iBPGXH-us7s9oyby6NAVecF6B1SasVu_DRx2MZtM18wSvWnKdKihN7anC5TJmNbnRHPL2V7_nM1NS4gIifNbvE_OgWDaMEpM0VbrRckf7s0RzssOKa-F2BCJgnKoRUwO_9sjPjnKSF_3_YcngLyNhHCkxuStrt9jnun39QzLwIuZOj6Gpxh7jYSG1j8QswOsxic39YGzRCC8IzTwJAZ6LWtAR3HwqxUYcAXV6wSNEhJSXV8taJW3jL2_Ep_dnY2vS1TFk7zaFzHXyEEAkso19OoOBoczX9c85uvsCAwa0zGMEnyJYUfiY1ewV0NHIeDM-sP3i0hlRaV9E5-LGPfYcjTTlEf7sG34JJqS7d-7xtD5jzEp_zl_KqgFgl7u2vyQ7kt1a-WzvdJElZvigGq8L-DAAnfmDNdE7G1eZkWPptPzjbrHa-yMyaz7SO0xPYD4NWjGxOGXX9Di0NWGKj9kryLjo2Jk_1x-oRS5LqhCtE9c4ZuOx7M7I90RFthOyQGSYPaV4SyB8yI0v4RCvfrmvmtHNATzhfhhs_Vmkuz42bw6J32NYsa6wyn1QVwyAgFg3OFhqjLEFq_wFktQjEVGULIfCiCi59hNqE0CJ9hJj-JQK36bdbxh33CgRUDGFrilcS2LCn6bNPqSv4n5R41tL_zvSCRoaj0sP9YP_zF6xoXBbGcnvUPSkfxuK1Zvx_vl1pvGDS9_jamq6BBXgoouEbAFc0U-7tz6_4nV0mBu7VdJjSmB55p0e6VzExkBkACdNP5Dny1mn7L-YOjTL7ozPvucyrCr-FNKydgqy0lVSGlHjmu0PIqpUOHhIH2aE3XE7mwP8xXTU7WRz23lylAt440rmMo7rpRvI0wxFg78P7CIyfybUXVazV8Xf8xmhzASSkpK-MnZFrP4IM96TzEnnAqstsN4kspdLd5cSgc6K0wcFJRi1yAYN2AmpFrO_4sFs_wV_7py7vOtJp-4rL64wgavbi9-_S061HxT2KZCjD2WSs1cjXqog4B_uOhpcbFWUlwy5S0X_RIdZAB73wi_M156WSo2Hc7fu9COA3NTbgsRkE5dcL9K4b8rvgqY7yOn03G2j2o_6cn0Y2I_PrjpM-qt02gxTQuPRNG4kcE3kNaIlCPgKADjB5QP20r1-GSw8RGVaEbrKcjohGfReBQqQS9sKS-6Qg4LBiXPhKCS-3s7Bh2CQXGjVtq8Dp7OJv9hldCcwf_81c1OubTMaPr0jHAIgKExmDkza17dydgx3wkpn3biV7xSdPhC1LSHp3oGv7YpSZYU1OzUQX9LrxZzFkADP-ulSo8emiKBMB6Z5iDCRTaIjv4ItEAosFF9vI5i0JRwj6QiGA68-PBwbiIcHZ_Uumbv1FBz_nh_RUxvzxTA2tIsbZ5ruWUvwPcOerUT5c2v39eYddf8uli1YhbZDaN2YrmwV9-QpiizkCruD7z4Ph_wKwVFiIYQ5KmFjuPiiWDxv6D_5k5LJfODp169nxwxtefi1fY_03xyHwKhiE_m4sTD-D8NLtqVYkjh0_EhuwIXiyfIchM2-GhocviqIgtuM4f5MNXAcCHy16-JFiKJT90-fa6JIBqsocRaUImDrZP8HISAjCHj6YgirQPB3Ml_Sz-j0hlzK-VUZ09Xx2wGv_GFcS2OFhC1rc3qj9DRAviMXTGzDUP92F9RQkOwo21RNg6p6yjA94r25PGJ2iv5Zougrb6Q4B-NTzN5I3RoND_KzYzzxCY4DJ6PEmnpzbdc2_faNcB4ARWcjDoDolNJFurKHHi46Spkzr2Xq_IAlbBeQ9nq5JbACAG2lC45HZR5mdX9BhwU6poctphljiF_JtfIhHyiZhaMP3nOCm1CLatZFINUJRnIsReHJ4ZpG1KF5kIzcgpOzdD08GoBOMEwXXZtNjZHdWfuNxdpTV5Om0nBOlhYpsoNPcAhg2I8g6gBaQ3pJxaIffjfccav6u3uAzyM4Tf47nc0m-WAiwJnadQH4P_cXCAuDo89-vPR0XUYMBTb6e_AIkth0dLWvf5zlrRKCny7VuQShJyT8by65ZitE5vqSMPYEtvsCiwgPHKnrc59PZNmGp8bUj7K_TgxqGHnUj_HkyKtWYXhfyg1q6Wl-zP2qj5VX7Ocet6Nr8GpbVCWSmDzwmNXWINNll2T_9_5yRFnmOCEIgVcQc9QmedYjlv_DhcJaWSHmMr59w1G06yBJSj6iEU6wEtTqQdxEiLMYwXQJPTSWy1Xva-tuc7ovSxlAS2JROsdkDB0WwN-fF5V4kJbXKNkhObm-7isrKi7CdYUg==","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc2e71564819e949e185bb3ff2a42","index":24}]},"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-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMLxdLnL78J04DfDuCFaH6r8fNp1M553al43PXzE6ISu0ZaSsbRd6By-RsRP0pcfbwTpI6AhpgDZEQx6AXWoAwEaeECZVdUiozUx2mnRiYbf-FkYyI_oZX31PwhmWIBTWi68iR--jk2Xb5z2iQmt2MTOuwUMJB1OMvW0-Kdq3ODElyl4cFrHavzeWl6ThdT6gPNUqR-dJd82sRZvKBkj9ic772rbUhcxDrDA-UEABfZI48SowYaeRXHIeScGGFm87BLDsxOzHw7WpyGrOiJJWcg3qBwwhESH9EBM5G6s2Hl3-Bb9PF54IfTmQsdH9tLUiddKFA6jXAXA2mMmnf4ZFCdJ8drdiNeA4b_UOWplVGLfEohOAQhy6A7TNY0h2yd7e-RxXx6h6L3VCkEeXO9v2Foscvk8UTOb_5fAuLJhNRmW2n1hY9vB-oKcRakZ77uFUbMkzlTFXfvj_D6n7A-qj6Einuoc9DpvRwSACg4djrIWOvpMz7fLUYnnlxr2Zx4xjcKFD8LmCW0r1s67ct4e95EEqRiSYTwJ_YLudQk-0CQLsXSn4yor_FLQyG-rryuz11GCLoAhpi4ICu_rabNfbyi9GiQMeMTRBu0BdLaxyh3ncfZIII0AO717bGL_SIMZ_uiw4uxQ4Le-eWyX9PKpNnPrJSP6W6gLkDfZ310IwrnZqU5_qLhsxUaTx28Zq7KHukHT4W5O3XwEaiXpg6FhaoG8bB6Jd3wDa6whdf--JesR2cIyZpADeB4IJag1zpRsyd8SES0pDoaqTnnqCJ0hcN43haxViPSjQ2rFvg1UEj5JB6hlnw5u50q_RxF_9uYwQbk7L8ivlkn24yFuwwvXF3QQ02N3vbPtVOF70qFD-FmCX27wJFSATVP-4m2v7uMIS_leGcyW-kQIq9LfrIskvygQcTg5RkGT8pTE1W9ZYtyTO5RW8fUpBmi0iPC4huOmt6sTAEumFuudKEROB-hNhKZuw6QoGO3cByYiOQizgtQvjgEejUAry91hRgeaiKJ9Ksztsrwuke2UwjCIXk3u51Ap4P4itkzh9PDpJzTuznWDKnuqIIx23yp9T_nfuqITOy7k_mGIsr1Whb4bihm5tqLGsF_RfkqHBf8ms5cwm1MmqN_mk-SD_5VTGvEhV7AKnNE1Py81_vak7Q5DK4_NpLUCZq3dvcxodawNv7Q4tSGm8hsoSgHrk79L5VmOW3BpxD90m1iQAJH9xaXxKnkoM5dWlZ69UsJ_vvjqg1D1RX02xi7thfHptX5ELVidEAhAhNh1WQ20qj37i-LOW98Y2ccJNJ9QhifTNiKf5OcgTTEdTYZt9RLXeeNp8hpheI9fuMK0oBQWimrmdzVMOSgcFh97hdSttn3BXRPTBKT3EAgbrbP92WoAB9PTrM9L3jl3x_gLmN6zv-NryCnuKXpL_1Oy1W5w8VV6VlkEGKFuy69iX-1I4halisd9ipRKXj_5ZmqNr3Z68i81_QvKKFtWxUid94B0OVR8YMw9zlRECeFID3KMhLzUe4Ue7CNSGnY82kcYsqpoC7-eNEeWZk57d62lLt-gX3fMoohgcyWoIco8QrU0Rs6NDXPtLVHfqnHIKQwRiAjmPSyW57-1HdBg7zs3G_k9aOr7F_WzRplDB6bv4IpKnFStiJN_QSVEeSgTyRTLqXolKa7vf1N6ol2CuZXCqGuYrIfN-d4cM50gCZORFuh8bx2N8S-ZyfKVfnEELYKt-G4idUIFAROjKbpW0BFwFPFwF_KSFhRM11wszAZXTXAkN-kTfgNJm-AJUWzL-oUNRiJRm5PLC3wpQAmmfM-8_pKvdKV0Vs-DTPcsXSdB5J5U7_-el4RX5qA-Yb8ipNzfSMEzf8OA05GEr0TS02D9yoCdwTrPIpH8g5eqWFZhNVJ-pQo6otwfnW3j5JJ0ydyRxbaxaDVEsaiFmzuObxS8-JJGP5hrWitpNj1BYEde-qT7UoYgFzr3YJx0cCaGxNZx1GStdzwXgZDg4Xo7GucKbkTpTT7-SqA_EhT2-HKr4QaTPAepCFph2ujsdeKqO-VCi0969q6wHgeoG5VrXzz47ytAezQV9uCdCUn5rVac-0R-OBv7JBGWXNhchMRVIXWI6wEjupMV5W7oWouzQv5caLfXQahdwxP6H6aoFxicBAByuAAwAxdmTpgspeg40RQPcFm_-R7Nf_mDhM8AMZYwMlF5Udn0DUbiX887O5fbDwtDHImQRtit_o5yDEyXZCslwz0k2zPAkJ0Zx2AAX9N84FNIwVoaChAz17KctDMLRisbah2hYqDbG3VraAGv3edStwKS4OE9gCDETlXliyA6RUcOG0pmory7v1JRJV0mr67tloVechE1TziFNRcbHitssv4PkIciC6ip6eu4K0rJ1L0v3jCtE27cbEbP0d9Gyvhd1T0ym1xYFbSENndkU-dt30b3sCUk-eK19kfFAGSzqwSWLh0Rl5pjZgoF_vcepHw1l1ZZRDjV5OWq-PPVC9yEjhHKpf6RzFeWvHTeiMxNaySkFRl0wZv44UOxU8HQzqWuD5lpiIjudNolDoGPzuCulWVp6BwqYXjBVn1pI80dSH-OUINduvFv4opJjZe9iUZwFtiDxTBAc4gXdkqhQu7jDnTv4pgFHa_pRcpIKN27exOdevjtLGb34NYwt3Z-pC-DTIj2l2VuO0GgtqCq96LqIMAeNKrva4Dn6aKmzYOx8VIWgecrwbOLSYB-oJR3NdCnPFIUqx7kBviSep1X9wCeRws3RpCGIpEDLBOTAi6nZThujuBcQknhZRMx1Rqj1ebQxEbNLud9vldEUUch3gXOwcMFrMxaDcZpFAjInjvNcgTjtw6Y6mwfiqIjfWl7wQkP9dlMsYJonRHfHaBT1NQB3L2XlxtgK4f-MA7uBgSXS3-9Jm4M-PfpsfgBmRYH-DllWjtepadkEfV86XUajc8Xe48r3Z0qCX4uEBKwuct2sc74-SpZbA-oSQEEfgm1QLTzCu_9eWj_eb8PNJk4Q8qeTtPS5ncpEPTlDsE9wmjbFyHY3yhx2ZknlsYKVW2gnq6EV16q3SeGeypbR7U8bAGlYNBu7lOKjzYbus363qAQ6R0urcyOdefrvdRp2bpmLI1fJ-QVfu_CbvBTiGtdAXru11w26JwUZvlTDyN-jdZiDuCwlbC18UGlbI6Td6xClL0xTt7-HYQHRKmcJOcfNusJxwu0NZ90Pj9dj09jB9krZi8H4BCGqayN1PxEJspNluJbECHkXyPBuYanFRssXeP6Q8S6kBzMoY68vzm9EKn4IHTMQ-RzfLXRZoaVuV5MIb7AJSn9PZWqc9n5lwBNl7CKxLW0tRG-2uHLds-fva0D23dYgkQq-MtoIWXPx_aqffKzlNtforKEJTDgKrtfvOzk","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc2ec2158819eab202a7c61a3b208","index":25}]},"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

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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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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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

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMMNdIalcDexuvLJizq3OLCIL5MnS5tZO68W64Qrr8NQy7MCk1TkCroSNNyV5rJep__cbnIh_zkfim4p5xUDhZoY7MbhHbJ9kvlvUhAvnlo5KScos-k4vEWFM2tBh4q284BcBwEqds17FCes1XPFaNifXIFT3JkJOwSRzKYGMhn6jWfY1dCo888XrO4hgu3eMA3VcbFPyHwhJR2pPIv1yr7h3uubrD3Tm7wf9ESU4CY9Q0zCm3ytUMKyXNnKwX8skYGOoOKJLbGl2fFqk9yWhAO1KRtZpj0bV0IkXV7fJmUK7dhRKp_MA0xg-OGPBwcA92M7NFa7XGGx2VTUHIjfXc5_igSZEK_VJ_x_A4i1PZO8PtdtpU39O3bPNhwzNQFWawHDl5P_10POXLeYdH0Rau6FoXRCr6rdAmNu0nYaam1T1oiyPMHkhqgcAMI7BfX16MPz3SNHd3ABHPcmjp9oVpB8oHzUE21IOEsFl_t56u3lHYEskgiYmb5fxU7OcMiG1ubVTaU9WjhDpukR5s03HjEMlRPDULoTBU1wmihJS15iOatNzryYPP3c5r61-8lqoDco46U4YroHShPkJfK-BTNawoW_fyAnSyWcWrnwauMpcE3x3A3vwKprchCFhQdbjW7wK58twx_71yF2ESwQqERXxn7UcK2emk5zd1y_KcAE_JFECHaX2_GjuMj9N7zMwQif2kQu37LwFz7g1Q0574PdMo1PH42n761NLWSPv216nJuCgKE-RJMIWsZp7jb2Q8E8NdszrYCxo89X4uQvdnloa2fbEkLyPXb9VWf4keuFrN-T8wnHCC98oFLeJyrpyN23ClvXwUbz2GNoNL1EzXAD7aBdS00NkJBD5DR_qyWsi7i_aEDYT0_L0HhqelInw_ZUbL-PTOOov_wLPiOiNhDbbohar631ek0mbo6JD7YF9WHrkby4pcg3zeVFQgqcxfFTmhZr0lBi1vV8j5Q0tzLISthN2fP2SN5BCLRYqtHbvxunXaA6sFK7t5_piGJVAwoe2Rn5ZymFtDwpfLZ2MipejC1QFzzK-pztckpHr5bBDCsij4kBY2FWjoriokQkefQhRiRTPUa2NZ4O-xOy8c1v16kVvCPGFWLLa1zftsmKZczEWTvuF3EMuIWwzZ9rf-Zqi0v3RwOD40xbG0FGRhoRaKG2WSz--L_UoDeIym7nrvIUsI5qkeK1vUkseNMYVOsojfU-B8tr4piFCQ373DluB2f5sjmIi7RbCZz96KxRimHKvrKEfosGgsXOEho8PBCqF5lxRkWCjodqScUNX5B1nWOGEzTAZMOSI3k2tD3kucUoO9iFjbkpZutLV_EhD03VObNLhrjRvrM02yVXMAAECQabfeUBGlU6g-iwYdQNViQssKLlWbFYCTf-0d24Ghsosv-FdGBHAIUsFaMR3doclo-pVjFWsNax6BP638o7-6_F_10UK4WryQwsTa0y_ryA4k0AROq1K2EEHX3dg3Cvkg1gscL98tqZE6B7zxxunuZ6e0YOFqF6gk_0BhBgY6-O2vyy4dbe7WDtvV9JZpwLlR8gvbbNEaS0gJZ-hhz2oFiJ_0c0boS5y3ZejzkpDmcJn1oqEIQIVSJn3P8GAldJFY7IQBSQ7o4PZHPMOed_VxzXah8Bab55WPMnSonW9-e1hlSkA8WdAFXvgxl02o4zdetR0rggq5QpgtiCaD7o3LXKoypgIBWhzyNXbbnvH1KRtqcItlmmMsCzl_PlppHjgNFraD2Fg5BXnwusq7sApSoCdpKaJtra5UgUKuxDfeXWnx8RYGNFo-awT4RJijup-PV9YjT4kMen_3t9mulMGmkLNG8kZNK2IaGuMljKVBtu4ruP-nqSNywajpOIQgjuld-I2-Ryhw3EwoIezPpqwi4lw20vou2ZyEvrDD9ci1VvJOCCTaGYt5GPrxPxTxQUqBFRUXgUY6JQk7J3hjms3uKKLQMYr-NnE8DO43kXdY0Wea1jV5fPG1o6opEGA0lMJifKGJUA9-2U2a9OlvMZy6u4kQIjgPdkjWLx2Qdigp0nPXib-0LkcLnjAOYpi97FzL9v0Qlzu2e7EuY4QvPWCHbd9TqzZyg3Cw3N-GFkE3A758vOny1QZR5go6Cpw_sXvy9wsVM61kqBBO9UjUo155LvnyxcDeW0QazHXL_eqw1FcWcDZd3SqABwTwbhNTO6BmzMIfXw_jtfl6nFv3xyngx7NOrWAK1CHunZciknDPrqaOw1dGwjczaLR2yeFTgSR1UxsRpQmdmcQwD5_Qljwon1Zt9WtiVz77xq2BNpx3iY_AlBUJISBZJXJ1NXTcCxw-KP1jjyMoj15rxCunrBFmNpMUAXiUzRwIH6JqNvPGZc7J_CHS9MfMHF3Bc-_Yh1x1zsMWOyOlGwzSQpy8OncSCdmuhg2KiFxXp7LdAor0TmtqYYxB0kmYX4edE7fODsdc4AaTICEfLunxC86YnmpRriL2WPPWvrmDd3V3KjelqeJRExjrpm1YD88TQzxq40u0lrneSUspuJUffZ4Rct1aKN8vCRuN6jlvbQLWHnRopkp7ngay05-JqnxAeqIRvgguqQ1pQeEPWiM8ZDOu8aQQruQuOfgUAiv_ngYhFXSw-l26pFw577JMgb3m-uRQ6G_mFBQ6U7h5EzrQwQdX8ZNuHV8LKrcUpasQBbJqLEJkqXQXGCbtXaBzM_RqmRwLk1MQfdauxJWRE31kvDmn7jORL4zOZaUJjfiAwnh1VAqO0qS-r0hABwM-XrbF-ALQgOqu6Q8CgNjAf33KtFV-r-ia75xno1KtnkdY07hnIbTs9ytVhjYB83mCJU-aas-Sz0DkKlNDsIHRLJ2msdP-bO2xXyGxPmG7GnlOvZ0tHz_xAbBrnaee3AyCuHFqzZTPelX0O_0oJjiEVujF8Q_qMRfqcBjd2WmIhFkq0PgZP-zHcYvVpYZjSQPbcXpoFyMAnO3p_BEVpQ5OsyobJJymwvgoZ1EDmqgv-qFCU6XlKZK7AKTLq9xTrpMVaOQqV25wm-T6dkJWZtqXkdyDdAPB1zl8YtlmFtDKfAgNf5SUlBk_Xd92LBI_NIx4KdMd2dmXnKQdx-o4xSlpWcYjyXg3drHMQzWwkBL04JdNvnHOxnWKaF8MjglwSkF8ecQcv58W_NLJ9I20QTygohBEnwx7IEKMw3SyLRvAaBMO7Kc3IcDAOmw-bbi4SioTN-wTynKwuDLQtcbYGVFJeYT6Y85MFHmYTQ14Ya9PNC9rmbw947ORVj2dvsJmZDMITf8QsdBOrKiDx3OioOD3uK5e7C7dscUcREg7o_Y0_J7hRJeAs6VoNpcr1aM4qBsxUEkxWJ4PEa-xUnht3do3YXCGMmx-goSkMCQhwPpCkYbNngC4UpqWY50E8hr0mjy4FZr1hA8Fkcrne64G6iiVn-1OC5GJr4n1cxJf8v8U0oae6NJONm6nqGM8aQNMhI6IbT7gAd9oS3qBlGx0ihsGhxI907gKWWJcpvQ9fU_UbUI2Zz1EWeb9crLi7QzWR7ZZDfrPVqgGkrUIj92PAt4F7fB_NwKKjsBsqQSchXXm06LTtOo5DwmOb2xryT45Egdu9dI095vRyo52kUqhQTyJFPqnSBbIVyWsjOjfT04rRz9w8CTo-aq9THKx_TT02R1bsSbQ6mIH1ghrc12ZGKIITmGGPyDk1ljFB5WvJhoRDM8UylTgdoMBoube-l8UgOdNS5p2bErRfxfw==","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc309464c819e9be8393ab93dc550","index":32}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMMS4QRbAAoI6moDOxHvbnuK21x-rZWA0J8CudJnKKcICQlHkD63FEaFJu_ujRgOhbvPc1EhMPRjpbSxw7rEbQB1jJub9JbCQipGC3uszZgngVZA8a6iFYGTcSkNM5rOnmaKHWJzncEpSZL-OwvLpU8A6UaEO054g_02Lv9qa6pvcCy6Octt4ilaDWoGD9V6rmHEYPkwtN-JXZY4d_ZG_8szKSHslsoDEcXf0mFenWIqhm4GoqswIvwuhkvMDbCnM7mPWHR-75AHgfEGGl_37RNtgL_RAmNLNRoF39msZIJ-myz8WW_iVZ2Q1U7g3ypgTFCTZsOCksB6JBLabyBXs4cI4oZePlHtb_R1gilg-BbuCA7JMfcIyzezLPrG5MmCmADPt3VmYQ4lVKe0-9_UL07bG-T9GmZiy9FBE9E_StMFuwRPtiuCaClkBrX0Fl0VhQq7Rxytt5XWK1yDTIPx9i-6giyLDKfO8ea559JoWCrswj-LTQS-CkY8qK-Bu3eY4hUBIGQ8yWwkd1GRBaZ7jw02Hw6a6XrFPq-5TmDORyUmTs_oR79PpYCOBiimtw1Ua9V1jhMOW5hR1fKWp71ej9i8CQYR5Pc0LObW0WaH8zw1kRrhggxPQ9CDevKZQT1J59VwLeTI4r_Oe2TAw43OTC9UHW7sbcqoAGp8gqGVJq5WMMFmi3s1ioS5HS5RhF078CU-pgStQ2-cmSGrNUJc3EpGxJ9Ccn768lbXweGE8gXdLlNs3bnlpyEMQibDDFQ2WvPlzNWCQD64sZrV9uSo_t-lxyGuBR2TAXjWkE2KzVNF1ybedjHd7Dsj7yiibKERcjG7fQJQEpV2PGWYjMfwJwTSqvkfJpknH7fPhMwoUgnffl2lgImFpMlhqsENX4HpaVem7ZFZweAlBzJ_6vrnw-NZ9imeP7b2ZLwIcuzLv9u1qiSEy_Z3NRzo1X26-lnxs4A6M0bSOSy3O3xFi4X24XWXEms1YeBHrcjiHZmwoqrJrY_L3NeK68hV2Kv1KrODy7n0vB-JNjJ__Fs3If9LQH1geNwFhgDbbwodFA86Jd7YHGZsGPnuUCBtcyQ3SuVeMm_D5A2FE9gC2codaZAKWGXWKQhUMZxRy4HJd_0Fa_5F0ZDbko7-AVxq7jFkDDCmNfylSatpI1JyPJTyi4naxH1MhyryZuJ9aZBcYzVNNJWM6saI2hRHFZVeTLcuNkD6sn3Fnjwgjdaq2PUfchyGFzYfBtaQKIjOrL1HorSSDRucLtj7K02QskroJxgQGafygwmAUD5p-17nuOXWaHuDRlaV4Gssq2Oqb905rCyqbVTs7f4OHnqnW5QmwBAb9zv8K-vH81NSOGL9prHvN1V20DVYN6-6UurnEeRbAbmoO-e1uzLrH45dg269uawL_TrxwgkdYANlDdlqTXt4F_Seh-27J96HNCaZxu3OI-_bzSXmMgHc1Fr3vb_Ad977pXxV43Xsor-wHxiuTZyXykvMOTYSr9ZfHY-WmKB-5IINmApzrghOGwq2DeE5y3D9wvt2Yvt2EYMjFKHOeSkbYuh47bCH2XQ2zpChlufhDfqevZ92s1AbQbWJbIUV1xg7ynh3vhhDOjhXeyL1G3PN2v2yixk9xpWbHpNCyMDaNpC-289tof3bMLS4qnzOAzXUAviDrd78nHJT-KYZeZkIFLfITAmzStvccrJKlbnqACxNim2D8ZlpS9vohT7VAY2A_AjOdcGTtQsRhV9apGbmGc0Lx-E8ITbGB2KuBdAZiJURMzoj2efFWr9eNo4p1CuAr5BBNrILqwsuE-SyFL8I2Df3eSNlHdlgd4peofHZa6ZocXFSbAWiajLJRjkbxpBslsCFixQImbv02ZsDqjab3LgO79454wkKe6H7ja4ybJHSB_012bgxoCGVC7yX1HYgMvL764N6P3JA_w8b_S20sB6l3oT018Saji9ZL7niNQA800LhQ4c4t1Bgf5-sebitRc_kk2Miznxh-0aqVXdckmx-uZp0LBP57OPqvcwQKnv-jWCwYfkd-LnGQ0pJ_0zbpBSEYp0dGSG1DR0u9fyOOgdKZ2GR2sJzPcaJg1qa3lO3MMn8J-jXNG7SDrlquzASc7rgrmV-7BKHhbvb_XCH_PKYkJvXSWkHd7pIDC-UVHiNBQ-c-eIf5LtpdSvPJDX7ekJBGdSxf1DvmRKrnzQLbr_8sqehyTO7FEkn-ClOCU9mgouuFr9ovJQBKUeCYW36eENj8Rv71xUu5aA1HRJFDAT1R7IHXNyFXSlEKX1QY-xpZPpjABGhgdmBhJljiiW15E0vO9kJIlWhhasH714VIL6w02ck0kexXQVu6lZ3pcf9M5aqGqIRzP2LU-POVVPQiw9_OFEGGONGLLUUh0d8Hrncy9wFURAFs22AOvMdYjgSpr1-0DwypSsAU6OHio9OWuS6CU_jpDYagptWBPFsXQBST8yfToY6C50KkQ0jxwlzeNPgwh5Dp5GwoB3-d0OsunrEWzQIL-5NoCpYySB6sDw45bgoE8K8O-l8nC9yZnirBxSH1iCfwh9kXZLMqclLQR8-0AQU4YEJQwGbek7gupUb6XL00gAreLg4dv2UUw0LbtEhKIJZT3bPZSD41IyrBQ1WNmyuiAzQXYfu_td_qK0PFBUpUfZq5jOzCDn7ylvmCaOUCbe0Mk9qJ-7igH_iyuTlFVyxZb0l23AaF7_HpuLeTedtvX5Je_GzHwOmbFcxye4aBQcYlm4ZeZyK6NNNuK_STAzlByD0KDDBe6SY-5dCDr9FHV6X9AI74u3L2XfSgDzPHlKaSl06P4qhuk7rALUnE7wv7d4L_UJAiigR9dprvScQGtTs1UlttIXbIN8DlCZPo_Td8Xk3nyem1KALs0fgkizEKkT3COOzKjH4libkqFUQXlUToqQ5UwJTCsZKxa29ssx8s_1p7SHnypfOiLkWhsMDs6HGmXZ_iILNcBucP3S3VFX5oNTxeBYa3o7PN3Wp1GE_2JlvbEDoHTSOkQnL0c6AvWhAIskg6NQtnhZVJ_Jfr13Xkf9O4t9J4tz2OlCEGZM2BBHaoHpSsqDp640wILuHDC5tciw027fF7W_N-gN7btFWGT1d4cmiGDhb5Li5bW1QLuN4a47sZI3Vr7uOPmxF58jmdWQ5ukr9MRt60Dni5PoXS700F9rfEebe0RkFiZ5bvPC-hHeC2rGmnOxB1uBOATIxvbvjIPD8F9a6GrFwijUa_57apu7gAZbZGI9h0L3O21WKeCbmc6ZB54a9WgYHimiDckEOqrZVjV9BU6Cvd1HLNLD5fszUby-DXixuvbtOOsqXujClXo45ah33OcjF6Nj6kueAbJHOPyEESA4ardg2BskuUU0MekVmryDaLn4Cbk12uqLxYeO3Lpzca7Dy5nwkZxZAnfukfvf3YfkkW7lWTFQe3YTknq_4KLANpDa6iWXuCEpJubNlYNsiLTnXsWtEZgv3okkds0MxKZBV6EsiIHViH2byY8egvdTtwcWVgXmhbTZZikLzOz8GOHweVy-askr8iYLUbuQKXCjmUmC3hIoekfr191lWjV2ewME-ERt9MIBPACvO0t0fOXzaEqoJXHHltZUwPF4dxvYaed7mk8N4IQEs-rQkaQRTkf0W7wjUUyngvy9Z7QK33Ko_fAuX7W8y4J2uH8SGIqN6PppMg6k4P9b164TmRhr48f8pnaO2J06K-GFGzWegvYcwim4V_86xEzSsR1NJ0YI1gTd8u4489vPttvwgSPqlVI1O5_f1YPa8NHfNXx6dOVqa_qzmXkQqrfK_nrm_4ff-wRezW8bcpg2CWXUBCoBLt_mBPn3f73ENlAiOWT0ogZVKQSNfVIU7R7IP60n5FMI3WkNEOqh9DG0QcCQWNWo8vwC-v1sKDGw5qT3L3OuRl7-CJtFAa98oe6WgvMsU-8hpS1JADfUy3v-V2ar_iJApv1TssiZN6KPcg-YI6xNGOXHKuEqW1uz-gmI_H80kp_EFOA==","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc30d3dc0819ea345a863358e59b3","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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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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

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data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" cylinder","reasoning_details":[{"type":"reasoning.summary","summary":" cylinder","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" with","reasoning_details":[{"type":"reasoning.summary","summary":" with","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" alternating","reasoning_details":[{"type":"reasoning.summary","summary":" alternating","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" colors","reasoning_details":[{"type":"reasoning.summary","summary":" colors","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" I'm","reasoning_details":[{"type":"reasoning.summary","summary":" I'm","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" considering","reasoning_details":[{"type":"reasoning.summary","summary":" considering","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" adding","reasoning_details":[{"type":"reasoning.summary","summary":" adding","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" a","reasoning_details":[{"type":"reasoning.summary","summary":" a","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" little","reasoning_details":[{"type":"reasoning.summary","summary":" little","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" loop","reasoning_details":[{"type":"reasoning.summary","summary":" loop","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" or","reasoning_details":[{"type":"reasoning.summary","summary":" or","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" handle","reasoning_details":[{"type":"reasoning.summary","summary":" handle","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" deciding","reasoning_details":[{"type":"reasoning.summary","summary":" deciding","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" against","reasoning_details":[{"type":"reasoning.summary","summary":" against","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" creating","reasoning_details":[{"type":"reasoning.summary","summary":" creating","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" a","reasoning_details":[{"type":"reasoning.summary","summary":" a","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" button","reasoning_details":[{"type":"reasoning.summary","summary":" button","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" for","reasoning_details":[{"type":"reasoning.summary","summary":" for","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" bell","reasoning_details":[{"type":"reasoning.summary","summary":" bell","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" Finally","reasoning_details":[{"type":"reasoning.summary","summary":" Finally","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" I","reasoning_details":[{"type":"reasoning.summary","summary":" I","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" might","reasoning_details":[{"type":"reasoning.summary","summary":" might","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" include","reasoning_details":[{"type":"reasoning.summary","summary":" include","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" rust","reasoning_details":[{"type":"reasoning.summary","summary":" rust","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" details","reasoning_details":[{"type":"reasoning.summary","summary":" details","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":" around","reasoning_details":[{"type":"reasoning.summary","summary":" around","format":"openai-responses-v1","index":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":38}]},"finish_reason":null,"native_finish_reason":null}]}

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"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":38}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMMp0Riip4Jc8o4P89qZUlduTFlLModKiKeYr_MxpRANcryABBIC-Ld3Leh4rFnc5tpyrVTYvn5fPv3zYjUaCZgozRZV5XJVG5680GDTeJBIIA734Fsjso5lnrmVRh04GntDCYYIVEODNy6Db59OJ66myYP901VvVTIIXRUFYPw4AdFBWRcxLpa_p24Xn7OqDAtdizFXDQCzu5gOYkGDmtMUn2WNumdCK6Be-cAV6zmYtRASdANbThQAFYfnXG_0NFa4M9nPg6-2IFgr2EyXBl5pn4H1PmuYaZC35zMWSkV9zV2wwd7DPWzEcL8cihcJfobVoAl0_C3oB1Qk3KCrIQE1RaMYYKaE782StRYiG2UTRqH6YtpnYnrQRc6JW5FeWYxL7mVSTfvDSaPoGvsHfzFXTMOJA8crFuFb9IhMEFtgSrFeebG36xcfrcgPzSUU3VWQ4AYtTLrM_UsaFj7kjpxkK5g7YIuiVtb27BO6kLQ63GYB5psGhDWpX6fgLmKf4UDTVwAAfSQexOg2oX2LCozVPei-4RUkyqmBlRNzhMJOaN2XVle2PgfsbeaKc7Ag75VGLfw4jqPP1jQZhoRV4pOBWS-10i06PTwps9uuiOADOloCxCJSBb75K8-V8Tm32bGtaOhDoKnDpQAGqt6SEtDlkWpjJtR0HrsNj5L2gdUm_cUneZJ0HxrUWLXf2GVIbeHIrA7IS0s5yLbkEL7yUg4fL6ZLUuhdbLlwlqmy-smAsiRb8NdfNmV3v8qDH4KedJ9Nfx5c3YO5EeNktt1IYvDK2V2E8UTTOJnk9rYpffMU5-21AwCD46uISvghFMBEv13tgf--6Ne7BSlOYLX33mLPSpejVxoT9Yz476HatK1LHLR1CvVUgSJRk2dy9d2g4TyKfCjiUxWRZ9hbeBr3YExwKQzCrBa8A5o8BP-A6k9mhvAgAr-mLBGbiCfyfkkUPTciK_7khQO6ciePedI7l9wWLS7HeoW3Ubc0NzRF1GLSizHM9tZTgoqczaEXTP0aqkXzrjzf4dzAW3arSq-IrnwoLbRjUYSvBWfszggw-1i3uPe095xGKEEOqtMGOUdWHggj3LgdSIEzELqeoD6U0Js-vLjQki6Ol41mCDlRDsp4eqVr4F5qw8ZnwHlcjnhjjV5i4QMDubkhPn-wZL2iCyieHu8sx7hSWHPCP6GIK6GYlw5f_ofmZOGGqVdC176w12zn8Z6-hLU9QpRQ0ffcWvzd077K6KDQeIR_EFduAKdiXuLQ89PYuKLqNGlkFLfbjIkNK_lz-PJp4CkcNryvY-_e-ROtQU7S343umY-rOuxbnI3emt4a31TDYP_qB0gJlZ2XlxCkocuc8AJnTM6UKG47ZXYMfhOOsRPLBsEFT_PaKssHkp3ErPENmT3ci1xtkV_Fd2KjSiJY6GzYprz8olLZBrFU1B2UZ_HatyI03LXWBGlwnW-20-hlRkwhkVv68kSjf3Py3eCvdtKDhbsWBo9gmTPx0V6SrcUWtWAAKco04bT9PWMZkJhtZDSaG8AeuXAsYbY9Lo7EviaOL6P--z_RGigESIB-9uXMNll0QnTL0rIRXqs-MNFuvCx2Wj-xX1eSlbIeG9WzAYqN6u9qTpto8pRfu7yF78xcv6SszzuqY348UU_lnrn91dQKxN-THFmrFW7DqAFwC6XNFgMmgfqUO_c05LGWquDK0mhPVjSmy6IUaOP7M1y41M5mrfLK6JxKewTsZqS9T8ofwlPxfU9fvoMnccNAqJy0nn3KfxtdaKrITCNE8nNHzzuXECBqMvVLeb5qGEdBIlycK4hKaZdDT0bLjRVolKEUyysYgmXTapgeZUo9S0eprXolrFL7wQkf5eZ-hcFmRAxuzNsRuQMcNG0UbViDdIOoadz0KRPu4sh-PMsKYXf2kcVwFbxKSfoNuyX-JWV7UJkTup7y0iaO6EhLhKLggvyUMt2GY9jKnlYMcdiFSf0MxgcJSpB1YcJkHCFAiyumRNoG5rdpi9IW7NPisZCzTwruJq7LIej4v6-YVg4XvHJamOBqr2cgCsl6m-VBdXz_SdQUGYTJMTfME0vbGzJO_mef03tB1YF9zmbGk83c1cVz5LkmpKUTcL6drBWOKexRj9B7J_yoKDvKq1BU-97F8xSRzNNN0Gou9B5aHljPuFOVd13-2mgAzjmBfL2dnzOwzX2QumKSql888l-FUS5APjONkDFMI8gqmyO3FR1rqkvcRvlDZzCKmvyoVdv1pF62gg-sndozQDEwVW3Dlky9L_T61KNI9GFH4_4mpFQIYNBqaY_rS3S8cf3Sjd5I9cepk970BrOkW9QzqYDbHntF89m67blhZFbhO6qKE95OBXLbfhAjdT9Ob4QK0dIg9pG4EmYitKgaLUe84kZYPFsbZJLGiGRaO7EbsUGwXZQPNR8ryck4WBCJfFWv5rhDkO2Z8Nuid4P5ZN8-7X45WPMARWvGxn1dRqROnRMK9YQCcyyTy0oEzEoGqEbYaTmelT7UNcSIx1X2LXWPl8RGx2ftUpOjIy2UOvjvigB8uKir85AzV46iX51Nw-OcmX6L4TBVlKvWb0ZUlw5rv9i-q09OunHnUj_4wRanGclZ1PQcQ9E_gWtDesXuHCqOSw6sfuIp_UsDttzNZaAasRgO69nj4ZfRwQHEwwAQQWhu8JdFJ-O5lbcm9mRPG8C5ZEESgslLI1fb3qfQMFAJTTi8I-7BgBkj_UvvRyyf04uSfxC0qXVr06D4QK66uCi9ejVU9btmrPmhHJY0mpt7dt-_lGWLf0v-0O31he9CfvEDLrUJVAd_0EUbiU8CnrCvpvqY3LulP9Bf4vRoDIGMvXQ58poAwYFhsmuoArHuowEI3CLsK5WpNDuEZkPNTNZ44Wpwc81W5rKRWam1TLCrjSC_GHIL0iL8UfMQPP81hKV-avTbp2df9FUq6kAQvZ4r8UYjMERErYfi7yzLN10bpStlbuRub_bugfxhV0Pbz9lsd0xgzch7kPVj2KdmfivHntedV5jQwP_df3h0FiP6cu6QZxIOD6n1hhU7OvQst3gWVrAl0tmjYmNSWeyus1Ag4Y4snUMmF6Pdn3VLBbb-4A==","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc3257ce8819eabd90ef7291375bb","index":39}]},"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

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMMunOI3l34poGTD-xTel-B7xe0nEdVDJduiQMM0Q1xclDaUbrPu8LZuWxklACuzn5u0p-xPM6SRs_StGn63aakucMQACXhM40HSscTBmBYd_ICEZrq9DHQhjvneqymSH3HRl2_G1ZC6i__-Fez54QxaUhZ-mrlfYCC19Ps6IK_JmvqEmyri8VkThdlfkB7n-VLKFRXy_-yP41KRSmNb-Q0qeVjfSCMfgnCGz4SFRL2YRyVFA0V29ov8anG62oooPe9co51JpX213LQI59L3iQfxb1ZH6QfTvAdclUjKLZzYHAOpRXfNxiL7OadqppH87Myy2vuCCcB_pWZ6qgi-qf1PGExrckGv6SxBkzhAKmzL6QKA-j_lZLwPlTvE8TOhRDdPhotAvhTvDdiMoRYMPNQtdkgpuCMz8g9Y5avSakbpkhW___Tj4wZEPluhGgjNN62m_4YSk6qeYsPVaYDLPNktMmwTDk052mG4zyw8fGXPnb60HnbOvlDU0awAsf6PtUeGJhIYj6DBa3w2sE0rx_SWAKGWppMpHTFMwVFdNUMopK2DLDSK5joy7z69-ZHQLFz8eKr0ysdVtLhT5wlu9gjCbFauNLSG4apY1aIb7trF5g7-nxkx2oJ7l4lsjjyU6ztC-DDtl1k1TcPBbkcaoGmorb5VYEmxGhqFlSCo3ThJ_WXH3xKdrm4TCDxlRcLOBnTKiCyMu9reXWMHvPSxr0K0yNXniifODfv3H6C3E9h8CmsRrqcsm4hQ9YYYv5w5d4Yk8_6xFeLCG0vGBrdlcVMg-TUCZUoSaSFZaNl6Yjoak00DhpMI2pGpWM4hfC7EGGNmtMRMHQ2ooHwsbU1vMSxQho6jXYHES36O3cxXlbpK4_eDkTSW2PEG2XW_tMLoqizcI0ywJwd_OvN_Q6lDg7z1-sDIOcvcCCfEfp65x9b6uUH9jK49GHknhqeRq138NTVUGPs-aWM6mhQpxxl_C1YeM4tiBmDukTQoGpvb5OridZH-wVbgrbvSWn_lIOXVFyKqLwjlN9bIEaNum_tcPtMKUvSRZOnC9zmgPfHjfe2BCnDZjXlBigvTFVyXFgkuMQBzp9Sa0eE5ts5c18Ivph3HwJ2cjzzp1mQRMV3w4zC9TIqIVKsGtoUwXaSbkA4aOa3WPO8H8asyO6Zq9WrKRD3ZWepSbhHJbPNESt7asNnk_yB6hZX_3isuzq0tu0UsmIP4rnn_JYdyxBLdfHHSkCDfZwTihVf-X8z_UbQjABDEyWlwtV967pmwoRHfaKr_GGAbYp2ml0haKAMwJc6YFR7KTMVHgjJIRHwYalt_3uLTwKBhaFoVXe8AvDFMGSCclTX0FwmED1ceWAkDrSV8gpbBz2rgWpfTGsXMLnu1eslU7LiVeBkdbA-g4xyiV9XnAp1ifK6_jBCCtfGrHLAMXxi8RUPaI6C4Y_3HtcaUyeI3Ihed6vVJeZHb8mULibd4RIpa51KsIiLIq1p2A8ctoD4SCsJK7vIviAOtCYpdeA6mLHizS_x0wegzbioOSZh2YqBUzQLZ8GyDxtMpdzutwLIt_TH7mY04d4ZZlb4XSnmMRzGgwurk55q571s-zSbCjfm9D_DgE-gV_PuV_1-V_75ewpxwp5z066f-pbpN3BTKtNw5guhgoHmF4-3Ld02_nHihMZkmtvZNaYhLaNIisK9Kjr119QwNPQrIXYhxnBRJHb8nEO9uHbK25druCSsTCGkWBDlB1oq0HPYs7LPtzKKx-fbRjNuaDTCaHecdLhQzpCvqlFaLtCv9XQQt1zHA1nCgt1cxmaI42cLeDjCQzp69BxkdkzunQHpe7UgAb8yveGbrrRRe90KWLDVXHfBSVuVQejrK5T4_RvxaEQSHnUunDGKwAYYSEXdtSQ1zr23RR951YuBTSBLG8hgu9qDux37TxxxvAoK5b-oWw77otYGc7eWBYlw6vCmUPCimFf26YlxEXe-LibMTVOUU7eD-BV5BQAMHqNMqR5HDSpW2jwBytvXIGDFBNp5aX_lNFFK-8RPx0Zp44LFnW49jtFF66_5YEZeVozbtwSbuMMHUhYCP8KSeDyXgM95OJWhhasr6g8ELT-W1Kwk-J-GrJkwiC64m8nUepfKmzvFcTjEFkL8TxHznDNmrdLsu-vi_RZreOm_XtvBFpeVnUZ6Z-kPkZwK2Tp3rS06nPkiu4QlQqk1iXZUXzGDnHe6uk6zvNKvhb0cKW3gCwWBfNP4eVhx3ZS6XQzd0exw1fY3Ej0p5S0lhSvQMnzEloTPMh3gbwqo3wwiw7VUHVc85hGTb03qyrOtiwoyKSw-GqB3CEGw_jxW2v7TgTh0dhta5ZY9zUTLvKGtJVY6hu2pqk_p648mdB7ixcfXpfy9DlAnCyFR2j_9JRr1CdeN39DWA3OXLllCHBn5z3fxb1jmWqq5XX6MEA6RmM0owv84lf1FxESq1UBTJQEbCPGvevPHV3oB8WOqSJl_Zgz0F7QRAQA6rMo6LCy4TdUZo1Vaws3-ShgjfzMYZioZUPnFDs9_xO0wLNW1eLi7fiw9ZaXxtWF4iFTDJhjZr36gYoxNvrMYagzMUdsq9Re8czi7Gow1FGZoK5dRl-kKyhEyTqTSX6VZQCimQZ4ZTZN5wEjM2Ei6LNBNeelyh3oazMvESdEDsskhxOMSZT-p1GQWnEin7Kzm1VEdMfJjoVFMLG2n1o8zeO9cW6tH_JwPh9t_9w6IV3kF-Opi_RCuV_xSlsZs-ABN0MEa9GrFq6qfYcGffCMTMZDpy4umKIjvsT2hNHCrI7MwTZHwQ2gXY5t_07mBn1v6uWikg1112ElLxrzlXm2Os2ZM3offkUMqmeiZZSBgFygrTcCvUlKMIa0Cl_fDxYGw7MEOK8oRoMpRTAPwupe97rUiSukcArm03N_Z9lalRyX1DhE-BViqGeCQRkytgGBpG82hFkOp4-XbqB7iWWcglx8atw98Ohyk9umjuWU6x5eF4RGFIPV2ZYMJRELn1hP7o8Ha3E9cT21J17jNgtuB6bwB0QE-V1UAavmTFm-QIQEnAlW8ASlgibqD1bnewEdWIibdU1X72C03JBN039CDFxyAM5iuBDlTcIkxXEHzPjeLt3gPwF3BCVo_iXjRkXaCxzQwISIsTtgQfe59aYGESjGLZVqVsjNSvJe7h1cvAMa9ZJ-_QHTDauLB6s-saW8St0dNB3OpfOvkSZ5XKGHR8eknTpNxRNw==","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc329d1bc819e821395974dc3d5ae","index":40}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMMyBds4fG3ScLLlHU68waEq_gNY1EklnwdpR-uEWnthFsKKUzDsxTCBD6Rud6eiDL0hpfbwPKPh9rxCZghq5ZRA-LWHEruIfEa8Loc0YwK8Vlf_H371j5ZMthmHhNCQB1uwvhfFKm_0tPY4QGIbojueIWfZ0n0mX94eeSwEm1Lwx4w1LOfGQjq6Fuikr6w-4lD4B_OM2MOaSdEzOmKzOgc-2pezJsv5AjwzmWprqC_ovstjYs-M-FaputsxgU-7oGBkNzJQMw54udvUrWLchdWv_nexj28i3lxvw7PTghoMENDtBCuHeM5MdeOCrmM_aYKugZRgzI8KTNOFSDEcYlXY5TyIcoAlHSS6Dj7sTl4LLyK0BxqsLMRR1vgfb_x_RpWRwnOAJ83J0EBofDMw4Q3uJpwvMbeeR8-v2KcC-_tkpEeQ5Bivmq7GYF3mvSUNpXskNKYc2zryaUiwxXrajlvLDXAl2xwyqk0zmwUzEygC83d5rT235ZLyhQc2hhSA8C9eNEEvJdWiwQHpXhgdDn9yYoKmSeiBAiQtHqEdmLxnVVMFuPsJpW6S8qLzNslY9vmjeh45UtIUYGqA-1vz-EjWeTeXT-zDn7mVa5OvO9ItTMOo6wbYmYi8ku9hqlQc9GqD0Z3aDwUx1ukVUVEC3reBWMDQFgX-YeRYsSF0QQep5C2nnAimGgRa5pUeUq5LDRa99jJcqPNHPH50W92DXBCUN1-QV64Oco1P8iak54qqenTsQiJVXNE6hBtwoGcJkqksK36OsZ645teB--TGCW-DgGUUdb1BSHsb_B-6MmtI2xh0vVkFs7SiaI3zwraXgrpRwVfD5PGjLzpVbi6HVA3NmDNfnkcw_vkZBvgXbcm6_zgpG_SVWnuvOHGbVkd14fnsIIsGU6P5PNi8RnfS5T1iAcJ2l3_Bt7xpT64Rzs6jN1XmFdmi1EnfUX12PAWC2NaS_X8jJgRItRwh3hOddYsPn9yxFYj2bWuO7C8ZEQ_OmZ4ucHwlvDHSVzn8bHBQ8i1L6msXynnA9GsmLSeiUb39ZRW4BVUj18Q2crCbJ0SmCybbolRU99NM3ljZCL0MPC-B7rU3YncNDM2xU0R-hUqb6-njPtl2B2c_tPGkRvHhwiKAxQOb58AYFsFUKkUpE7xiy3K93oxF7JLpbko-NbKfRZ3PYwy5wnph9bQKh680zmN1VIfMj0NYgj7-N7k9DxbEc3OZ6LjnxOl8y8oc32AUCP0_rdVdN9DEj2Y6iRBxvVyIpPqEcCyCViz8uQQ7jPwtX8Ocxmi-tyoT3It_bHotuQNqsw_Ht_qUNAqxVpCC-ZkDxURPWO2qEPt4gyh-KaJS0CfHZkFh-DSbrvrjDLcFOv6nSSRkuoCqvtK3HezHl694j8dya4VqmVTmoM7k5P7uDS-iWe2PkNEo2b_p3JtGIWTmLu3bGqkHKhdFUbP8UO01Xx4hh0zZkViqofx--njXhUScTyyBL77Xi9LOzg729sDeK0U_eMMzwz-nq3hkHHXFjIlolCzylAe6ULZ1NJn9VLsznaXJZbOc_tif6FHPeICfxwWfgsuu1CqFI_PVL8rqDHaPTLmcEekEuk2jcV4d3OPo2iFXRqu0H9R4AbryTfEVupDxbyUQ8-xEM-JhsnL8VU0EcOUmhxG8jzA6_hxKLcRRea1z91yL0tNZx2ApGeZEQvNgBl_XMUieno_CemmGLmor_D02OZw66thiB6tkNe6_7_Idz8ud7fcUXv5jKF-ALXGaTi6oZFhNJX2sB6FJEVVts9cw1KsHzYz32-VifmjJ6O4VtPpTWcYaUAMh68YW7c52MsL6B8ogAiNTY0QVgkEhb-StvAOKaHrMRsjCFTNdU78qawFeYcxGNpShjZtcVtdvGgS_1yUPs4oXxfxlwMCRHG7Mt0RcKpulz9VOdsXa9UrXvvxoJVYaF9omUTh2PIPP3B_b92nMwcuSfTZYU4qlva9syYHJ1FdmrNEHm_BuDsahnjO5RAH7_M6F4yzVcQoPtlhn-WgGeR5tVkn_LL1iS5inVsF8mtsrHxbOPgOeezABelZFddKF6tNGm9BqmOBU_OXHX35vwZSx9_HebouRelFI3u1zjOLSTVD34iZagRQkzT8VhAblg6h1bATsqzeYU_IrFZnFemYQFoZbL21QZR2sbQnuqb_IjHiNzeXNSGYCHlNIqRUXECzaCLUzDa4iJyxcj4aL-7Aaj3J2_CnykIFXCxj7GkSFr-cYRX_kkB5qO0HriX19A8T2hSkPhjTLrr--9jFNeHxhHV_qtQF7jVJojQMgJRodU5sF7BgdVMpbng8O0OKm5PjvdspM7H1RD1GnsJ03qKlsd2DoEqouGM5CfTS1pvr0OjwjQJK6n3OUkltsVZbsRMSZHNRvnrFsXs3GqHrq9ezXghdBHnz3loP3KzQta7V1ME-6QZ2IsE0TNDXhb3ZKzjRkN6tMWroawzx5-vSk7yk_i-MmUP2gMLKZO94N7Vmup-qdgTxuFwO2KEJzCsqGBGtL-olmmC4ncyw96rM_JRIx-Dg-FE-xMCmDoNJIwPzqlgxL1QJID0lKcAZ_WRlfjNvHpL5pTgfIVU5xfEAlFpUghI4UfSnBu8VTGN4ERaX9Rz9jPKx_APZhkxakFJLwc2DXHDkjWeN6ZUu0Wbl1lAW7LfgFnxxaQiIsrNzoxw11j9iGk82J47xfoswCYoH5RJvupeqD7pjOqYpAh2NBw_tj2k6bT2H3t6gn80qHruJc5_t5j4D2bGMSxQvIuLPtkncUhI9c8HH8Evwd8pqUQ9NKv8HTua1217G2h0R-ajry58SIFYWxNaN06JfGQ3Ac6wcK13wP51bk3TgLI_fPnWyxGXxkIdEzovmusBTQBIaAWA_UeOlzE9Cf38qBukpVooAzOW_O4D6sGQibHVPbY4kY7hHPdbsr8_TVIGEp7P0mTDg6z_MvPFw5T97BLQ8OZ3tKgQM2OvSfZOfZc_PPlN9LEoFchxYYMI9q_0DIYYUIyIpX_FbbYpV-DhoKPDskV8WwzHogsD-8eAgrxNZDGfJ6k_r5m7763LigIK7tfacuZ6Q2fwc0w9lyZXVwz5sVvy6IncSCr1HoXyd7hPSZPLd9mEAxOvtozx0Y9Gnike8fn79sm8QqdUvphom7J7sdA3j1YqbyYwfCgxHg2ShCmB2EU7dZ0h1uyUFPeJ_32e5Ezl7Y","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc32e08b0819eb0e7b541000ad629","index":41}]},"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

data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","object":"chat.completion.chunk","created":1785512600,"model":"openai/gpt-5.6-luna","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqbMM3beEsStpQ9mPIkfWvZNXxqD5sIvaYZ_uKtxHuAPW7NZFuBx-UlypUZK3F64Soqh3pvNBkF4y1ttE7432KfiXz86LIXIZUBXP_iBP6V4N39AZSw5AuW7_2HGMstA5yRvsv31aq5GqXQ8YtKMe5NmzngCoA9G7-RGyY1Mh-HxIBxzZaRNi08thHU0V4wxczfeKFcR7IlTdZAiWwGh9dBT2cwch-tgLZzP7QjHx9WmrZk_8-agD5NVEyhyWsNdSB5mz5521Bo5vZyPX72pDIrQnyKxSaQDIA5lldP9CQvP9HD2KHwdoT51_sPj4qaM2GC3B9a9opBlmEkKIl-L0Sf49BfRZyPIKgYI90QXDB7Nr4JJck8p9VRZF4Clo1aksvfxV8kTnPG1u3FHuoKay_SQJkwbH-GYzoq37Srdz0D8yfy49_c2n0l_Fkgv-zaf8cXyUr0epd_iIp95n2Nwfy3I5RnERJw937LBhT7Y2i_AMBpdKLFVVO4kfv2Og-0P3iUN8koWCxIojNZLN6JJqCPO1RE-OAlTkPKvrcAL_Zo0LTy9ghnVi05jgkCppX9ggDdmZ-R_yRqj4fZGHLfrpnORbx8aa-O6TBisMkme3rjI8nznowY61eaI0mXrXQjMQuj8WUdhM7fm3KBNJSXxDIhSKZFhjSOR4hp1ztTpEunYKRiAB1bUStDTjS5WkRA5sdInsFB-FBDModgYo-u8FYKbO6F76BTPkEr34HB9CQ-Dm0r-FIk26e4_yBW1VDZmdgV790ZzKp-G35gakybRin60rv0i1APozFjzlvFodvVWOOiGBhFxErQbxPBFbRisBd7TPvzLo3Z5VwYzYBm43V6knXCi5tiuWk7-7w7Gle981p2mUgdt8y6esG_UKBozmJGENuF1yhbr3aq7dI_k7bKzBtla3TwqaVmSBkCqoF0tzGth6K-1LtG7ZXBCnvDt7DjsQAWtL8hcybyFWPBkaMDbKd0JZ-0IN0oT5u6WVB7ayNPg6e7zEriO8AYYlbGP3FxaZS0gGMASMnoQKbe060AX4lt9SHJUYhdFFesHtVKuacmAkR_yAB-hFcLjgszPL-YfMtkl7fvLTs8I_fdiMBrUptn4Q6mGIRBcKWm1JdH3h98GSBWCHNqonzRqAUl1-cYwi3AO7rRcWdabNwYaaZcMAesNQjrwXMQqYQD8KTzfzwoSEjWEp7SoEpUtMPVZ9q-gZPYGAEwh13VAK8yblXh_7ZRwx-KxmdB9tmjJEOZljfMFOiyaLDRsVDhUfMi6L3lRf1NtfoOE-y0Rz4ljZmiLLK2amJLTQendKX_dTJ0Ff5e_aeV_9uRF48-AxN4JilP7w_13QvfZSDotq_Zo4NIXpLFw7LKkA1NqfHA7Gm2yp_i5-qGv6yEQnZ1t2ew3sdTluBkdGQccrLQ53yJUDN-2TVbDKUQS4e84XeB5aUXpOmyUMSKSYtVJv-w1W5HufCpbEfl0BupkxWtlv3cH-OoFu5z8Xql4712QOGS5XpAwlRg2B4m5VQZtCERYb7fghicY1jPsfEkeBSL6DzaqVKAI4kmV_3VkZqJz8YSXegOYhRgzPgnV5GAKj8xqoF-GY8b6i3R9cl9jZFKbo572bIDHrAx9v8yYkNN3hAWD83iSoutYoZK2x_TxdyghPBH3i9AgCNaYXNinT53H_r-QYkTlxV27Hi3-yQBTom8ChwUDvZfWy_dXG8hLNCuf61rFrmgVOIKzxjYoDz310fs6-6SoxWcotaWNzoeJGgdsysJhEnVowsruOYl_416nwrfaj51PCzs0wrp6lsWVTcLPdsN3PDLEL1Xv9c1EOMln5hXxaipPbT4EmMxEnd8ibzVBmzVVYNsdltQ50TSGVIzqUZ_xcxg2t7x74oa7v_nC106Q_epGYblveHESlScQUWwPVYVKjL1g9u0Tw0ZtSijcU7adHIfEr-bD7KhswoAP5_MWw1rsAPlfuPhoWEaD54_E25t1DlCvSi_GesqqOcGEptqU1xAyP2cRtZJjXhnAJ_P4Nxa5-RftCwEnF-XxQeb5Z4u5m-8iw4KtTZMutSK0PMQ4e0Y53-dxmvj-ww8-cLs4hvrexGFn7942tfvhYbzO2BX5zS8ryeg94VgJCqi6EV_B_8ECwDVo3gF2R2Jv-13a3LpzS_UDzKRaPsdbM0rtmcvMoDx8JGiNOi1iXfBJAJsW4GaYD7zLkGd0wzUkcdDiH1IScoHGrirqMjcIJ6Rg_J3BaKBnVBS239Ecr1BVs_KzZTaHkx3KXaABMLNPiWQAfwUxKgBDGcW0Wtd-3rs2WmCfe8MOR4j0t7ydKjIX4tYSvPJPmxhIGIvYtm-VD6BnuHWzBxB5Xkezb3O-Su0hHA3r4vM6pfwDXk-k4KAVV9TjP4Iw58NMbdH17SuLAzAana8q7-O_0-lvOq-BjQh0jbGlOF3BLmWUH1G2TCW7UqJurHnFZMTzpv95QqPStkHyvRxqSJnA_tkgvS-HLDflvArHidU54mISao1IW89Ozcong5uQmJp-BuzyTGU6Zq4SEnROLOydG4B8h0i-NQ-Cc6S3OBK-KECNqBM4y9SnHhDzd-r_OGjtIFjZyejoYBZDivc0Y3xz5BnTaRUPSwdqmTvexpmzDExawtafnElK3Na76mBKha0gs0XjAUoLR9LCYVcfElWqhy12C1Ta-nQ693bLgwcoTfwqblk_-N0j9A1haQVOaOaTGkNbNycjTi4xCv16KQ-rN__S6F6AYKe7BGE8anOh7NTY0CdC62Tr9cr0dyOgL6k9UmgEFFL7HAKq_bHpqq-wGomQfOD8Dw-DgBDvUiNedAPjSTpRm7FtVx8ZObZi_7yrxtgFuqx1dRmm-kaaY707fZMouDnOlfDAuv696iLdnMdFHRvGvT4Nzf2g_WBDXg8LZbmv0DRvYzffjnUukGmNCfIm7_W5DPQj_4gPpYP7S8fb9AOxuobXM70Cu4ucb9PdKzNKVD9pZHibqpEEZ5yhil3GrUSQ9X4H6bkntxG7w_AfAfqxcMGU2ROlufsx8UmMrTDvdnxOov1zeD34x0wDnMGrTWpGr3Qt5DU2S-yelTRPsUqh7Q2eQpQx1VHRQFeWuH8i31cZrJXHsqpH2Vraq2nooBCS2pZG9-CfOhcVqDn50K2Z_44k8pipXg-DycLKY6-GcI0yzJr8wsb3iaSvWWbqEoHDJnO5kfotDibuD8DDwzZYZxnEmOM4I-oLVuXvRoLTPFEqf6gjNY5j7zT6ieXlok9A0dJ98xdOFCWEOI4Q7UtrjWFFXAzZaH8Fm-KLWyWttefiZ2xD3wvBQTnmN2yeIaIjM9Ee_GWD9c0Tc84WmX1rpB3TCdiN1eQkoicFfYiOK85uxhfKCFfTSk5DDGsZhVSbYSnEY1-vojl-h2qq4sHSex-opvv5S9cBvNFGBJsdZJxioO13tUzCUbgHAqUNqovEtNxKpof64y","format":"openai-responses-v1","id":"rs_0820e8e59b1ddf0a016a6cc332e06c819e9a1b9d110637ea4d","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

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data: {"id":"gen-1785512600-GfG5cSNRGCAR8VGF5vat","obje

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

# -------------------- scene reset --------------------
random.seed(17)
for obj in list(bpy.data.objects):
    bpy.data.objects.remove(obj, do_unlink=True)
for datablocks in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):
    pass
scene = bpy.context.scene
scene.world.color = (0.008, 0.015, 0.04)

# collections
root = scene.collection
collections = {}
for name in ['ENVIRONMENT', 'VENDING_MACHINE', 'SHRINE_DETAILS', 'WEATHERING', 'LIGHTS']:
    c = bpy.data.collections.new(name)
    root.children.link(c)
    collections[name] = c

# -------------------- materials --------------------
def make_mat(name, color, rough=0.45, metallic=0.0, emission=None, estrength=0.0, noise=False):
    m = bpy.data.materials.new(name)
    m.diffuse_color = (*color, 1)
    m.use_nodes = True
    nt = m.node_tree
    nt.nodes.clear()
    out = nt.nodes.new('ShaderNodeOutputMaterial')
    bs = nt.nodes.new('ShaderNodeBsdfPrincipled')
    bs.inputs['Base Color'].default_value = (*color, 1)
    bs.inputs['Roughness'].default_value = rough
    bs.inputs['Metallic'].default_value = metallic
    if 'Specular IOR Level' in bs.inputs:
        bs.inputs['Specular IOR Level'].default_value = 0.45
    if emission is not None:
        if 'Emission Color' in bs.inputs:
            bs.inputs['Emission Color'].default_value = (*emission, 1)
        elif 'Emission' in bs.inputs:
            bs.inputs['Emission'].default_value = (*emission, 1)
        if 'Emission Strength' in bs.inputs:
            bs.inputs['Emission Strength'].default_value = estrength
    nt.links.new(bs.outputs['BSDF'], out.inputs['Surface'])
    if noise:
        tex = nt.nodes.new('ShaderNodeTexNoise')
        tex.inputs['Scale'].default_value = 5.0
        tex.inputs['Detail'].default_value = 2.2
        tex.inputs['Roughness'].default_value = 0.7
        ramp = nt.nodes.new('ShaderNodeValToRGB')
        ramp.color_ramp.elements[0].position = 0.22
        ramp.color_ramp.elements[0].color = (max(0.08, rough-0.12),)*3 + (1,)
        ramp.color_ramp.elements[1].position = 0.78
        ramp.color_ramp.elements[1].color = (min(0.92, rough+0.18),)*3 + (1,)
        nt.links.new(tex.outputs['Fac'], ramp.inputs['Fac'])
        nt.links.new(ramp.outputs['Color'], bs.inputs['Roughness'])
    return m

def alpha_mat(name, color, alpha=0.3, rough=0.35):
    m=make_mat(name,color,rough=rough)
    bs=m.node_tree.nodes.get('Principled BSDF')
    if bs:
        bs.inputs['Alpha'].default_value=alpha
        if 'Transmission Weight' in bs.inputs: bs.inputs['Transmission Weight'].default_value=0.08
    try: m.surface_render_method='DITHERED'
    except: pass
    return m

# palette
mat_asphalt = make_mat('Road asphalt - blue hour', (0.035,0.045,0.060), rough=.90, noise=True)
mat_asphalt2 = make_mat('Fresh patch asphalt', (0.055,0.065,0.075), rough=.94, noise=True)
mat_crack = make_mat('Crack shadow', (0.008,0.010,0.013), rough=.98)
mat_concrete = make_mat('Curb concrete', (0.27,0.29,0.30), rough=.86, noise=True)
mat_concrete_edge = make_mat('Curb edge wear', (0.43,0.43,0.39), rough=.78, noise=True)
mat_red = make_mat('Vermillion cabinet paint', (0.42,0.018,0.012), rough=.38, noise=True)
mat_red_dark = make_mat('Deep red trim', (0.16,0.009,0.008), rough=.43, noise=True)
mat_red_faded = make_mat('Sun faded vermillion', (0.57,0.105,0.055), rough=.52, noise=True)
mat_red_wet = make_mat('Rain darkened red', (0.22,0.018,0.016), rough=.25)
mat_cream = make_mat('Warm ivory enamel', (0.82,0.72,0.52), rough=.43, noise=True)
mat_cream_clean = make_mat('Fresh shrine ivory', (0.96,0.86,0.68), rough=.30)
mat_cream_shadow = make_mat('Panel shadow', (0.30,0.23,0.18), rough=.64)
mat_glass = make_mat('Smoky tinted display glass', (0.025,0.085,0.105), rough=.18, metallic=.03)
mat_glass_highlight = alpha_mat('Glass reflection highlight', (0.36,0.69,0.72), alpha=.22, rough=.12)
mat_black = make_mat('Rubber and slot black', (0.008,0.010,0.012), rough=.38)
mat_metal = make_mat('Brushed aluminum', (0.42,0.47,0.48), rough=.28, metallic=.78, noise=True)
mat_metal_dark = make_mat('Aged steel', (0.12,0.15,0.16), rough=.43, metallic=.70, noise=True)
mat_metal_bright = make_mat('Door highlight metal', (0.62,0.67,0.65), rough=.22, metallic=.84)
mat_brass = make_mat('Bell brass', (0.70,0.34,0.055), rough=.24, metallic=.82, noise=True)
mat_gold = make_mat('Lettering gold', (0.82,0.47,0.08), rough=.27, metallic=.62)
mat_rust = make_mat('Rust orange bloom', (0.42,0.085,0.018), rough=.72, noise=True)
mat_rust_dark = make_mat('Rust dark edge', (0.18,0.028,0.012), rough=.79, noise=True)
mat_rust_light = make_mat('Rust fresh orange', (0.72,0.22,0.035), rough=.64)
mat_wood = make_mat('Clean shrine wood', (0.27,0.105,0.035), rough=.46, noise=True)
mat_wood_light = make_mat('Wood edge', (0.55,0.25,0.065), rough=.38, noise=True)
mat_torii = make_mat('Torii vermillion fresh', (0.64,0.035,0.018), rough=.34, noise=True)
mat_torii_dark = make_mat('Torii shaded red', (0.27,0.012,0.009), rough=.42)
mat_rope = make_mat('Bright rice straw rope', (0.88,0.62,0.17), rough=.72, noise=True)
mat_rope_light = make_mat('Rope fresh fibers', (0.98,0.79,0.32), rough=.64)
mat_paper = make_mat('Crisp shide paper', (0.96,0.91,0.76), rough=.62)
mat_paper_shadow = make_mat('Paper fold shadow', (0.69,0.54,0.37), rough=.68)
mat_paper_red = make_mat('Fortune red ink', (0.62,0.025,0.018), rough=.52)
mat_fox = make_mat('Glazed kitsune ceramic', (0.92,0.86,0.69), rough=.22)
mat_fox_orange = make_mat('Kitsune ear and tail', (0.78,0.22,0.035), rough=.28)
mat_fox_inner = make_mat('Ear inner glaze', (0.96,0.45,0.12), rough=.26)
mat_grass = make_mat('Dusk grass', (0.055,0.16,0.055), rough=.84)
mat_grass_light = make_mat('Grass tips', (0.14,0.30,0.08), rough=.72)
mat_pole = make_mat('Nobori pole', (0.16,0.075,0.028), rough=.50)
mat_banner_red = make_mat('Nobori vermillion cloth', (0.70,0.035,0.022), rough=.70, noise=True)
mat_banner = make_mat('Nobori cream cloth', (0.92,0.78,0.55), rough=.72, noise=True)
mat_banner_dark = make_mat('Nobori ink', (0.10,0.025,0.017), rough=.68)
mat_faded = alpha_mat('Ghost sticker residue', (0.62,0.31,0.16), alpha=.45, rough=.70)
mat_wet = alpha_mat('Rain streak sheen', (0.12,0.20,0.22), alpha=.45, rough=.18)
mat_button_amber = make_mat('Button warm glow', (0.68,0.20,0.025), rough=.25, emission=(1.0,0.16,0.015), estrength=3.5)
mat_button_cyan = make_mat('Button cool glow', (0.02,0.35,0.32), rough=.23, emission=(0.08,0.9,0.72), estrength=3.2)
mat_button_mint = make_mat('Button mint glow', (0.10,0.48,0.32), rough=.23, emission=(0.22,1.0,0.48), estrength=3.0)
mat_warm = make_mat('Interior fluorescent', (0.95,0.29,0.045), rough=.28, emission=(1.0,0.16,0.015), estrength=8.0)
mat_white_emit = make_mat('Tiny label glow', (0.78,0.62,0.22), rough=.30, emission=(1.0,0.55,0.10), estrength=2.0)

# -------------------- geometry helpers --------------------
def put(obj, coll):
    for c in list(obj.users_collection):
        c.objects.unlink(obj)
    coll.objects.link(obj)
    return obj

def cube(name, loc, dims, mat, bevel=0.0, coll=None, rot=(0,0,0)):
    bpy.ops.mesh.primitive_cube_add(location=loc)
    o=bpy.context.object; o.name=name
    o.dimensions=dims
    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)
    o.rotation_euler=rot
    if mat: o.data.materials.append(mat)
    if bevel>0:
        mod=o.modifiers.new('Softened sheet-metal edges','BEVEL'); mod.width=bevel; mod.segments=3
    if coll: put(o,coll)
    return o

def cyl(name, loc, radius, depth, mat, vertices=20, rot=(0,0,0), bevel=0.0, coll=None):
    bpy.ops.mesh.primitive_cylinder_add(vertices=vertices, radius=radius, depth=depth, 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
    if bevel>0:
        mod=o.modifiers.new('Rounded rim','BEVEL'); mod.width=bevel; mod.segments=2
    if coll: put(o,coll)
    return o

def uv(name, loc, scale, mat, coll=None, segments=16, rings=10):
    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
    if coll: put(o,coll)
    return o

def cone(name, loc, r1, r2, depth, mat, coll=None, vertices=12, rot=(0,0,0)):
    bpy.ops.mesh.primitive_cone_add(vertices=vertices, radius1=r1, radius2=r2, depth=depth, 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
    if coll: put(o,coll)
    return o

def torus(name, loc, major, minor, mat, coll=None, rot=(0,0,0)):
    bpy.ops.mesh.primitive_torus_add(major_radius=major, minor_radius=minor, major_segments=20, minor_segments=8, 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
    if coll: put(o,coll)
    return o

def curve_poly(name, pts, bevel, mat, coll=None, cyclic=False):
    cu=bpy.data.curves.new(name,'CURVE'); cu.dimensions='3D'; cu.resolution_u=2; cu.bevel_depth=bevel; cu.bevel_resolution=2; cu.fill_mode='FULL'
    sp=cu.splines.new('POLY'); sp.points.add(len(pts)-1)
    for p,co in zip(sp.points,pts): p.co=(*co,1)
    sp.use_cyclic_u=cyclic
    o=bpy.data.objects.new(name,cu)
    (coll or root).objects.link(o)
    if mat: cu.materials.append(mat)
    return o

def cyl_between(name, a, b, radius, mat, coll=None, vertices=12):
    a,b=Vector(a),Vector(b); v=b-a
    o=cyl(name,(a+b)/2,radius,v.length,mat,vertices=vertices,coll=coll)
    o.rotation_mode='QUATERNION'; o.rotation_quaternion=v.to_track_quat('Z','Y')
    return o

def box_between(name,a,b,width,depth,mat,coll=None,bevel=0.0):
    a,b=Vector(a),Vector(b); v=b-a
    o=cube(name,(a+b)/2,(width,depth,v.length),mat,bevel=bevel,coll=coll)
    o.rotation_mode='QUATERNION'; o.rotation_quaternion=v.to_track_quat('Z','Y')
    return o

def poly_obj(name, verts, faces, mat, coll=None):
    me=bpy.data.meshes.new(name+'Mesh'); me.from_pydata(verts,[],faces); me.update()
    o=bpy.data.objects.new(name,me); (coll or root).objects.link(o)
    if mat: me.materials.append(mat)
    return o

def front_patch(name, cx, cz, rx, rz, mat, y=-0.84, n=11, seed=1):
    rr=random.Random(seed)
    verts=[(cx,y,cz)]
    for i in range(n):
        a=2*pi*i/n; r=1+rr.uniform(-.25,.18)
        verts.append((cx+cos(a)*rx*r,y+rr.uniform(-.002,.002),cz+sin(a)*rz*r))
    faces=[tuple([0]+list(range(1,n+1)))]
    return poly_obj(name,verts,faces,mat,collections['WEATHERING'])

def side_patch(name, cy, cz, ry, rz, mat, x=-1.061, n=10, seed=2):
    rr=random.Random(seed); verts=[(x,cy,cz)]
    for i in range(n):
        a=2*pi*i/n; r=1+rr.uniform(-.22,.2)
        verts.append((x+rr.uniform(-.002,.002),cy+cos(a)*ry*r,cz+sin(a)*rz*r))
    faces=[tuple([0]+list(range(1,n+1)))]
    return poly_obj(name,verts,faces,mat,collections['WEATHERING'])

def text_obj(name, body, loc, size, mat, coll=None, rot=(pi/2,0,0), extrude=.004, align='CENTER'):
    cu=bpy.data.curves.new(name+'Curve','FONT'); cu.body=body; cu.align_x=align; cu.align_y='CENTER'; cu.size=size; cu.extrude=extrude; cu.bevel_depth=.0015; cu.bevel_resolution=2
    o=bpy.data.objects.new(name,cu); (coll or root).objects.link(o); o.location=loc; o.rotation_euler=rot
    if mat: cu.materials.append(mat)
    return o

def mesh_grid_banner(name, x0, x1, z0, z1, ybase, mat, cols=5, rows=6, amp=.035):
    verts=[]
    for j in range(rows+1):
        z=z0+(z1-z0)*j/rows
        for i in range(cols+1):
            x=x0+(x1-x0)*i/cols
            y=ybase + amp*sin((i/cols)*pi*2 + j*.45)
            verts.append((x,y,z))
    faces=[]
    for j in range(rows):
        for i in range(cols):
            a=j*(cols+1)+i; faces.append((a,a+1,a+cols+2,a+cols+1))
    return poly_obj(name,verts,faces,mat,collections['ENVIRONMENT'])

# -------------------- environment --------------------
env=collections['ENVIRONMENT']; mach=collections['VENDING_MACHINE']; shrine=collections['SHRINE_DETAILS']; weather=collections['WEATHERING']
road=cube('Rural mountain road',(0,1.3,-.10),(14,12,.16),mat_asphalt,bevel=.03,coll=env)
# irregular patched shoulder under machine
patch_pts=[(-3.4,-2.55),(2.85,-2.52),(3.38,-.95),(2.72,1.9),(1.25,2.75),(-1.65,2.62),(-3.25,1.28),(-3.65,-.4)]
poly_obj('Irregular cracked asphalt patch',[(x,y,.0) for x,y in patch_pts],[tuple(range(len(patch_pts)))],mat_asphalt2,env)
# curb and top worn strip
cube('Concrete roadside curb',(0,-2.32,.10),(8.6,.34,.24),mat_concrete,bevel=.035,coll=env)
cube('Curb sunlit top',(0,-2.46,.225),(8.6,.08,.055),mat_concrete_edge,bevel=.015,coll=env)
for i,x in enumerate([-3.4,-2.0,-.6,.8,2.2,3.6]):
    cube('Curb joint %02d'%i,(x,-2.30,.11),(.025,.36,.20),mat_crack,bevel=.003,coll=env)
# cracks
cracks=[ [(-2.2,-1.5,.012),(-1.7,-1.65,.014),(-1.48,-1.92,.015)],
         [(1.0,-1.3,.014),(1.32,-1.48,.015),(1.66,-1.43,.015),(1.92,-1.68,.015)],
         [(-.75,.8,.013),(-.45,.63,.014),(-.52,.30,.014)],
         [(2.1,.2,.014),(1.8,.04,.014),(1.72,-.25,.014)] ]
for i,pts in enumerate(cracks): curve_poly('Asphalt crack %02d'%i,pts,.012,mat_crack,env)
# distant layered mountain silhouettes
mount1=[(-10,0),(-10,1.6),(-8.5,2.2),(-7.0,1.75),(-5.7,2.55),(-4.2,1.55),(-2.8,2.1),(-1.2,1.45),(0.2,2.5),(1.5,1.72),(3.0,2.35),(4.4,1.5),(6.1,2.18),(7.8,1.55),(9.5,2.4),(10,1.7),(10,0)]
poly_obj('Far mountain silhouette',[(x,6,z) for x,z in mount1],[tuple(range(len(mount1)))],make_mat('Far mountain blue',(0.025,0.055,0.12),rough=.98),env)
mount2=[(-10,0),(-10,1.0),(-8.6,1.6),(-7.2,1.2),(-5.8,1.9),(-4.0,1.15),(-2.0,1.75),(-.6,1.15),(1.0,1.82),(2.5,1.15),(4.0,1.7),(5.7,1.15),(7.2,1.65),(8.8,1.05),(10,1.5),(10,0)]
poly_obj('Near mountain silhouette',[(x,5.3,z) for x,z in mount2],[tuple(range(len(mount2)))],make_mat('Near mountain blue',(0.018,0.035,0.075),rough=.98),env)
# grass tufts around base
for i in range(34):
    a=random.uniform(0,2*pi); r=random.uniform(.9,1.55)
    x=math.cos(a)*r; y=random.uniform(-.45,.7)
    if abs(x)<1.04 and y<.5: continue
    h=random.uniform(.13,.32); lean=random.uniform(-.25,.25)
    blade=cone('Grass blade %02d'%i,(x,y,.03+h/2),.022,.004,h,mat_grass_light if i%4==0 else mat_grass,env,vertices=5,rot=(lean,random.uniform(-.18,.18),random.uniform(-.35,.35)))

# -------------------- vending cabinet --------------------
# feet, plinth, main sheet-metal shell
cube('Left leveling foot',(-.72,.18,.23),(.26,.32,.16),mat_metal_dark,bevel=.035,coll=mach)
cube('Right leveling foot',(.72,.18,.23),(.26,.32,.16),mat_metal_dark,bevel=.035,coll=mach)
cube('Cabinet lower plinth',(0,0,.38),(2.12,1.45,.24),mat_red_dark,bevel=.065,coll=mach)
cube('Main vermillion vending cabinet',(0,0,2.03),(2.08,1.40,3.40),mat_red,bevel=.11,coll=mach)
# faded side layer and roof pieces
cube('Sun-faded left side paint',(-1.052,-.04,2.54),(.018,1.08,1.52),mat_red_faded,bevel=.018,coll=weather)
cube('Chamfered roof cap',(0,0,3.78),(2.16,1.48,.18),mat_red,bevel=.095,coll=mach)
cube('Roof front rain lip',(0,-.765,3.69),(2.14,.13,.13),mat_red_dark,bevel=.025,coll=mach)
cube('Roof top worn highlight',(0,-.02,3.875),(1.75,1.10,.025),mat_red_faded,bevel=.012,coll=weather)
# recessed cream front and strong border
cube('Recessed warm cream front',(0,-.735,2.12),(1.82,.09,2.88),mat_cream,bevel=.035,coll=mach)
cube('Left red front rail',(-.955,-.802,2.12),(.13,.11,2.91),mat_red_dark,bevel=.025,coll=mach)
cube('Right red front rail',(.955,-.802,2.12),(.13,.11,2.91),mat_red_dark,bevel=.025,coll=mach)
cube('Bottom red front rail',(0,-.802,.67),(1.94,.11,.14),mat_red_dark,bevel=.025,coll=mach)
# display window recess and frame
cube('Display deep recess',(0,-.792,2.88),(1.68,.055,1.19),mat_cream_shadow,bevel=.025,coll=mach)
cube('Tinted display glass',(0,-.83,2.88),(1.54,.028,1.06),mat_glass,bevel=.018,coll=mach)
# subtle glass highlights, glints
cube('Glass vertical reflection',(-.57,-.852,2.89),(.025,.008,.91),mat_glass_highlight,bevel=.008,coll=weather,rot=(0,math.radians(-7),math.radians(-2)))
cube('Glass soft reflection',(.35,-.852,3.13),(.018,.008,.38),mat_glass_highlight,bevel=.006,coll=weather,rot=(0,math.radians(-10),math.radians(2)))
# frame rails
cube('Window top cream frame',(0,-.875,3.465),(1.68,.10,.075),mat_cream_clean,bevel=.018,coll=mach)
cube('Window bottom cream frame',(0,-.875,2.29),(1.68,.10,.075),mat_cream_clean,bevel=.018,coll=mach)
cube('Window left cream frame',(-.805,-.875,2.88),(.075,.10,1.19),mat_cream_clean,bevel=.018,coll=mach)
cube('Window right cream frame',(.805,-.875,2.88),(.075,.10,1.19),mat_cream_clean,bevel=.018,coll=mach)
# header fascia and title
cube('Brand header fascia',(0,-.852,3.575),(1.68,.07,.16),mat_red_dark,bevel=.018,coll=mach)
text_obj('Brand lettering','KITSUNE  DRINKS',(0,-.902,3.575),.073,mat_cream_clean,shrine,extrude=.003)
text_obj('Tiny hot cold legend','HOT  /  COLD',(.59,-.905,3.575),.030,mat_gold,shrine,extrude=.002)
# shelves, angled slightly toward viewer
for j,z in enumerate([2.46,2.98]):
    cube('Angled product shelf %d'%j,(0,-.91,z),(1.48,.36,.045),mat_metal_dark,bevel=.012,coll=mach,rot=(math.radians(7),0,0))
    cube('Shelf bright front lip %d'%j,(0,-1.095,z-.018),(1.48,.045,.055),mat_metal,bevel=.012,coll=mach)
# cans
can_colors=[(0.75,.04,.025),(0.04,.37,.42),(.88,.46,.035),(.30,.08,.42),(.18,.48,.18),(.82,.76,.25),(.11,.25,.48),(.75,.18,.08),(.55,.03,.20),(.04,.45,.34),(.75,.33,.04),(.95,.83,.55)]
can_mats=[]
for i,c in enumerate(can_colors): can_mats.append(make_mat('Can label color %02d'%i,c,rough=.30,metallic=.22,noise=True))
xs=[-.63,-.38,-.13,.12,.37,.62]
for row,z in enumerate([2.67,3.17]):
    for col,x in enumerate(xs):
        idx=row*6+col
        body=cyl('Drink can %02d'%idx,(x,-.968,z),.112,.285,can_mats[idx],vertices=20,rot=(pi/2,0,0),bevel=.006,coll=mach)
        cyl('Can silver top %02d'%idx,(x,-1.118,z),.101,.014,mat_metal_bright,vertices=20,rot=(pi/2,0,0),coll=mach)
        cyl('Can base rim %02d'%idx,(x,-.818,z),.102,.012,mat_metal_dark,vertices=20,rot=(pi/2,0,0),coll=mach)
        torus('Can front ring %02d'%idx,(x,-1.128,z),.073,.008,mat_cream_clean if col%2 else mat_cream_shadow,coll=mach,rot=(pi/2,0,0))
        cyl('Can logo disc %02d'%idx,(x,-1.132,z),.034,.006,mat_cream_clean if idx%3 else mat_gold,vertices=16,rot=(pi/2,0,0),coll=mach)
        # small colored stripe across visible can face
        cube('Can face stripe %02d'%idx,(x,-1.137,z-.062),(.055,.006,.012),mat_gold if idx%2 else mat_cream_clean,bevel=.002,coll=mach)
# control band
cube('Dark control band',(0,-.792,1.78),(1.66,.06,.78),mat_red_dark,bevel=.025,coll=mach)
cube('Control band upper trim',(0,-.84,2.19),(1.64,.07,.055),mat_cream_clean,bevel=.012,coll=mach)
cube('Control band lower trim',(0,-.84,1.37),(1.64,.07,.055),mat_cream,bevel=.012,coll=mach)
# coin and bill modules
cube('Coin mechanism housing',(-.60,-.855,1.97),(.32,.09,.35),mat_metal_dark,bevel=.025,coll=mach)
cube('Coin face plate',(-.60,-.913,1.98),(.25,.018,.27),mat_metal,bevel=.012,coll=mach)
cube('Coin slot',(-.60,-.928,2.07),(.145,.012,.028),mat_black,bevel=.006,coll=mach)
cyl('Coin return button',(-.60,-.928,1.88),.040,.014,mat_brass,vertices=16,rot=(pi/2,0,0),coll=mach)
text_obj('Coin yen mark','Y',(-.60,-.942,2.00),.060,mat_black,shrine,extrude=.002)
cube('Bill reader housing',(-.60,-.855,1.56),(.32,.09,.20),mat_metal_dark,bevel=.022,coll=mach)
cube('Bill reader slot',(-.60,-.922,1.58),(.20,.014,.034),mat_button_cyan,bevel=.006,coll=mach)
cube('Bill reader indicator',(-.60,-.925,1.51),(.105,.009,.016),mat_cream_clean,bevel=.003,coll=mach)
# selection grid 11 illuminated buttons with tags
button_mats=[mat_button_amber,mat_button_cyan,mat_button_mint]
button_xs=[-.19,.10,.39,.68]; button_zs=[2.05,1.80,1.55]
button_index=0
for r,z in enumerate(button_zs):
    for c,x in enumerate(button_xs):
        if r==2 and c==3: continue
        bm=button_mats[button_index%3]
        cube('Selection button housing %02d'%button_index,(x,-.86,z),(.215,.065,.145),mat_metal_dark,bevel=.018,coll=mach)
        cube('Illuminated selection face %02d'%button_index,(x,-.903,z),(.168,.012,.092),bm,bevel=.010,coll=mach)
        cube('Price tag %02d'%button_index,(x,-.906,z-.105),(.17,.018,.043),mat_cream_clean,bevel=.006,coll=mach)
        text_obj('Price %02d'%button_index,'120',(x,-.922,z-.105),.027,mat_red_dark,shrine,extrude=.0015)
        button_index+=1
# tiny side label on controls
text_obj('Control hint','SELECT',(-.60,-.925,1.72),.033,mat_gold,shrine,extrude=.0015)
# bell replacing last button
bx,bz=.68,1.55
cyl('Bell mounting neck',(bx,-.875,1.63),.034,.10,mat_metal,vertices=12,coll=mach)
cone('Tiny brass bell',(bx,-.923,bz),.092,.055,.13,mat_brass,coll=shrine,vertices=20)
torus('Bell flared rim',(bx,-.923,bz-.06),.078,.012,mat_gold,coll=shrine)
uv('Bell clapper',(bx,-.923,bz-.105),(.025,.025,.025),mat_metal_dark,shrine,segments=12,rings=6)
# rope segmented red-white pull
for i,(z0,z1,mm) in enumerate([(1.42,1.34,mat_paper),(1.34,1.26,mat_paper_red),(1.26,1.18,mat_paper)]):
    cyl_between('Bell pull rope %d'%i,(bx,-.927,z0),(bx,-.927,z1),.014,mm,shrine,vertices=10)
uv('Bell pull handle',(bx,-.927,1.15),(.055,.035,.026),mat_paper_red,shrine,segments=12,rings=6)
# lower dispensing hatch
cube('Dispense recess',(.32,-.845,1.00),(1.00,.06,.42),mat_black,bevel=.025,coll=mach)
cube('Dispensing metal push door',(.32,-.905,1.02),(.84,.075,.29),mat_metal_bright,bevel=.035,coll=mach,rot=(math.radians(-5),0,0))
cube('Door inset shadow',(.32,-.948,1.03),(.69,.012,.16),mat_metal_dark,bevel=.015,coll=mach)
cube('Door push handle',(.32,-.987,1.035),(.28,.025,.035),mat_metal,bevel=.012,coll=mach)
for i,x in enumerate([-.08,.72]):
    cyl('Hatch hinge %d'%i,(x,-.94,1.19),.027,.16,mat_metal_dark,vertices=12,rot=(0,pi/2,0),coll=mach)
# offering box beside hatch
cube('Saisen bako body',(-.62,-.965,.98),(.43,.30,.30),mat_wood,bevel=.025,coll=shrine)
cube('Saisen bako front panel',(-.62,-1.125,1.00),(.37,.018,.20),mat_wood_light,bevel=.010,coll=shrine)
cube('Offering box top rim',(-.62,-.965,1.145),(.46,.32,.045),mat_wood_light,bevel=.012,coll=shrine)
for i,x in enumerate([-.78,-.70,-.62,-.54,-.46]):
    cube('Offering box top slat %d'%i,(x,-.965,1.18),(.045,.27,.045),mat_wood_light,bevel=.008,coll=shrine)
# offering box metal bolts
for x in [-.79,-.45]:
    cyl('Saisen bolt', (x,-1.145,.90),.018,.012,mat_metal_dark,vertices=12,rot=(pi/2,0,0),coll=shrine)
# front bolts and rust halos
for i,(x,z) in enumerate([(-.89,.72),(.89,.72),(-.89,3.48),(.89,3.48),(-.89,1.34),(.89,1.34)]):
    torus('Rust halo bolt %02d'%i,(x,-.87,z),.052,.012,mat_rust_dark,coll=weather,rot=(pi/2,0,0))
    cyl('Front bolt %02d'%i,(x,-.892,z),.033,.026,mat_metal_dark,vertices=12,rot=(pi/2,0,0),coll=mach)
# weathering rust patches / blooms
front_patch('Rust bloom lower left',-.82,.55,.22,.12,mat_rust,y=-.872,seed=7)
front_patch('Rust bloom lower center',.48,.51,.28,.10,mat_rust_dark,y=-.872,seed=8)
front_patch('Rust orange fleck lower right',.80,.72,.10,.08,mat_rust_light,y=-.877,seed=9)
front_patch('Rust drip near hatch',-.04,.74,.08,.19,mat_rust,y=-.877,seed=10)
front_patch('Rust halo top corner',-.82,3.47,.09,.07,mat_rust_light,y=-.878,seed=11)
# small rust drip trails
for i,(x,z0,z1) in enumerate([(-.82,.65,.43),(.48,.58,.40),(.02,.82,.60),(.79,.78,.67)]):
    curve_poly('Rust drip %02d'%i,[(x,-.882,z0),(x+random.uniform(-.018,.018),-.883,(z0+z1)/2),(x+random.uniform(-.02,.02),-.884,z1)],.010,mat_rust_dark,weather)
# ghost rectangular sticker outline on left side panel
# side plane is x=-1.065, spanning y/z
cube('Ghost sticker faded field',(-1.068,-.10,2.28),(.018,.66,.58),mat_faded,bevel=.008,coll=weather)
# mask center slightly back? outline pieces in brighter faded color
for nm,loc,dims in [
 ('Ghost sticker top',(-1.081,-.10,2.59),(.018,.72,.025)),
 ('Ghost sticker bottom',(-1.081,-.10,1.97),(.018,.72,.025)),
 ('Ghost sticker front',(-1.081,-.45,2.28),(.018,.025,.60)),
 ('Ghost sticker back',(-1.081,.25,2.28),(.018,.025,.60))]:
    cube(nm,loc,dims,mat_red_faded,bevel=.004,coll=weather)
# streaks under roof lip on front frame and left side
for i,(x,zend) in enumerate([(-.91,2.54),(-.84,2.72),(.86,2.76),(.92,2.45),(-.75,3.05),(.75,3.12)]):
    curve_poly('Rain streak front %02d'%i,[(x,-.884,3.62),(x+random.uniform(-.008,.008),-.887,3.38),(x+random.uniform(-.012,.012),-.888,zend)],.009 if i<4 else .006,mat_wet,weather)
for i,y in enumerate([-.58,-.34,-.08,.20,.42]):
    curve_poly('Rain streak side %02d'%i,[(-1.078,y,3.64),(-1.082,y+random.uniform(-.015,.015),3.35),(-1.084,y+random.uniform(-.025,.025),2.9-random.uniform(0,.3))],.010,mat_red_wet,weather)

# -------------------- shimenawa and shide across display --------------------
# two visible strands and fringe knots
for j,off in enumerate([-.025,.025]):
    pts=[]
    for i in range(13):
        t=i/12; x=-.78+1.56*t; z=3.57+off+.018*sin(t*pi*2); y=-1.02-.006*cos(t*pi)
        pts.append((x,y,z))
    curve_poly('Shimenawa twisted strand %d'%j,pts,.026 if j==0 else .020,mat_rope if j==0 else mat_rope_light,shrine)
for i,x in enumerate([-.70,-.36,0,.36,.70]):
    torus('Rope knot %d'%i,(x,-1.025,3.56),.045,.012,mat_rope_light,shrine,rot=(pi/2,0,0))
    # hanging small straw tassel
    curve_poly('Straw tassel %d'%i,[(x,-1.03,3.53),(x,-1.03,3.46)],.009,mat_rope,shrine)
# shide zigzag streamers, each made of folded rectangular segments
for si,cx in enumerate([-.52,0,.52]):
    p=[(cx,-1.055,3.54),(cx+.10,-1.062,3.43),(cx-.055,-1.064,3.31),(cx+.08,-1.066,3.18),(cx-.03,-1.067,3.08)]
    for k in range(len(p)-1):
        box_between('Shide %d fold %d'%(si,k),p[k],p[k+1],.070,.014,mat_paper,shrine,bevel=.006)
    # folded hanging tab
    cube('Shide paper fold %d'%si,(cx+.025,-1.075,3.19),(.10,.018,.055),mat_paper_shadow,bevel=.008,coll=shrine,rot=(0,math.radians(12*(si-1)),math.radians(8*(si-1))))

# -------------------- roof offering and torii --------------------
cube('Roof shrine offering platform',(0,.02,3.91),(1.48,.72,.12),mat_wood,bevel=.035,coll=shrine)
cube('Platform bright front edge',(0,-.35,3.96),(1.36,.045,.06),mat_wood_light,bevel=.012,coll=shrine)
# small stone feet under torii
for x in [-.58,.58]:
    cyl('Torii stone foot',(x,.07,4.00),.105,.09,mat_concrete_edge,vertices=16,coll=shrine)
# torii posts and crossbeams
for x in [-.60,.60]:
    cube('Torii upright',(x,.07,4.36),(.14,.16,.78),mat_torii,bevel=.028,coll=shrine)
    cube('Torii upright dark base',(x,.07,4.02),(.17,.19,.10),mat_torii_dark,bevel=.018,coll=shrine)
cube('Torii lower crossbar',(0,.07,4.48),(1.42,.17,.13),mat_torii_dark,bevel=.022,coll=shrine)
cube('Torii upper crossbar',(0,.07,4.68),(1.68,.20,.14),mat_torii,bevel=.035,coll=shrine)
# slightly raised caps at ends suggest kasagi
cube('Torii left cap',(-.82,.07,4.735),(.28,.21,.10),mat_torii,bevel=.035,coll=shrine,rot=(0,math.radians(-3),math.radians(-2)))
cube('Torii right cap',(.82,.07,4.735),(.28,.21,.10),mat_torii,bevel=.035,coll=shrine,rot=(0,math.radians(3),math.radians(2)))
# torii small gold fasteners
for x in [-.60,.60]:
    cyl('Torii gold peg',(x,-.025,4.49),.025,.018,mat_gold,vertices=12,rot=(pi/2,0,0),coll=shrine)
# fox figurines facing one another
def make_fox(label, d):
    bx=.27*d; by=-.22
    uv(label+' ceramic body',(bx,by,4.14),(.16,.14,.23),mat_fox,shrine,segments=20,rings=12)
    uv(label+' haunch',(bx-.035*d,by+.02,4.08),(.13,.14,.17),mat_fox,shrine,segments=16,rings=10)
    hx=bx+.13*d
    uv(label+' fox head',(hx,by,4.37),(.14,.13,.145),mat_fox,shrine,segments=20,rings=12)
    uv(label+' muzzle',(hx+.095*d,by-.012,4.335),(.075,.085,.055),mat_fox,shrine,segments=16,rings=10)
    uv(label+' nose',(hx+.155*d,by-.015,4.34),(.022,.028,.023),mat_black,shrine,segments=12,rings=8)
    # ears
    for ei,ey in enumerate([by-.065,by+.065]):
        cone(label+' ear %d'%ei,(hx+.015*d,ey,4.535),.060,.012,.19,mat_fox_orange,shrine,vertices=4)
        cone(label+' inner ear %d'%ei,(hx+.018*d,ey-.003,4.55),.028,.006,.095,mat_fox_inner,shrine,vertices=4)
    # collar and bib
    torus(label+' red collar',(bx+.10*d,by,4.285),.105,.018,mat_torii,shrine)
    verts=[(hx+.04*d,by-.135,4.30),(hx+.15*d,by-.135,4.30),(hx+.095*d,by-.14,4.14)]
    poly_obj(label+' red bib',verts,[(0,1,2)],mat_torii,shrine)
    # eye visible toward camera, plus far eye for silhouette
    for ey in [by-.12,by+.11]:
        uv(label+' eye',(hx+.055*d,ey,4.395),(.018,.014,.018),mat_black,shrine,segments=10,rings=6)
    # curled tail as a clean orange curve
    back=bx-.16*d
    pts=[(back,by+.03,4.12),(back-.12*d,by+.05,4.22),(back-.22*d,by+.06,4.33),(back-.30*d,by+.04,4.25),(back-.27*d,by+.02,4.15)]
    curve_poly(label+' curled tail',pts,.052,mat_fox_orange,shrine)
    uv(label+' tail tip',pts[-1],(.065,.055,.065),mat_fox_orange,shrine,segments=12,rings=8)
make_fox('Left kitsune',1)
make_fox('Right kitsune',-1)
# little offering bowl between foxes
cyl('Small offering bowl',(0,-.23,4.04),.12,.08,mat_cream_clean,vertices=20,coll=shrine)
torus('Offering bowl rim',(0,-.23,4.085),.105,.014,mat_gold,shrine)

# -------------------- omikuji rack on machine left side --------------------
# rack brackets and wire frame
for y in [-.54,.26]:
    cyl_between('Rack bracket %s'%y,(-1.07,y,2.06),(-1.22,y,2.06),.022,mat_metal_dark,weather,vertices=10)
for y in [-.58,.30]:
    cyl_between('Rack vertical wire %s'%y,(-1.23,y,1.27),(-1.23,y,2.18),.018,mat_metal,weather,vertices=10)
cyl_between('Rack upper horizontal wire',(-1.23,-.61,2.12),(-1.23,.33,2.12),.020,mat_metal,weather,vertices=12)
cyl_between('Rack lower horizontal wire',(-1.23,-.61,1.42),(-1.23,.33,1.42),.015,mat_metal_dark,weather,vertices=10)
# fortune strips in side yz plane, varied angles / lengths
fortune_specs=[(-.54,1.78,.34,-12,.02,mat_paper),(-.38,1.72,.43,9,-.08,mat_paper_shadow),(-.20,1.82,.30,-18,.05,mat_paper),(-.02,1.69,.48,6,.09,mat_paper),(.16,1.78,.37,22,-.04,mat_paper_shadow),(.28,1.72,.29,-8,.11,mat_paper)]
for i,(y,zc,h,ang,fold,pm) in enumerate(fortune_specs):
    # hanging main paper, narrow in Y and thin in X
    strip=cube('Omikuji fortune strip %02d'%i,(-1.27,y,zc),(.022,.115,h),pm,bevel=.008,coll=shrine,rot=(math.radians(ang),0,math.radians(fold)))
    # red tied knot at upper wire, little cord down the front
    uv('Omikuji knot %02d'%i,(-1.265,y,2.105),(.035,.035,.028),mat_paper_red,shrine,segments=10,rings=6)
    cyl_between('Omikuji tie cord %02d'%i,(-1.27,y,2.10),(-1.27,y,2.04),.009,mat_paper_red,shrine,vertices=8)
    # two ink bands on each paper, offset slightly outward on -X face
    for j,zz in enumerate([zc+h*.23,zc-h*.15]):
        cube('Omikuji ink mark %02d %d'%(i,j),(-1.287,y,zz),(.008,.075,.012),mat_paper_red if j==0 else mat_banner_dark,bevel=.002,coll=shrine,rot=(math.radians(ang),0,math.radians(fold)))
# side charm plaque
cube('Side prayer plaque',(-1.085,.45,1.15),(.025,.22,.28),mat_wood_light,bevel=.012,coll=shrine)
text_obj('Side plaque mark','FUKU',(-1.106,.45,1.16),.040,mat_torii,shrine,rot=(pi/2,0,pi/2),extrude=.002)

# -------------------- nobori banner --------------------
# pole and cap
cyl('Nobori banner pole',(1.48,-.22,1.72),.032,3.18,mat_pole,vertices=16,coll=env)
uv('Nobori pole finial',(1.48,-.22,3.34),(.065,.065,.065),mat_brass,env,segments=16,rings=8)
# outer red cloth and inner cream field
mesh_grid_banner('Nobori red outer cloth',1.51,1.94,1.02,2.98,-.28,mat_banner_red,cols=5,rows=8,amp=.045)
mesh_grid_banner('Nobori cream inner cloth',1.555,1.885,1.15,2.84,-.315,mat_banner,cols=5,rows=8,amp=.035)
# banner emblem, circle and lettering on camera side
cyl('Nobori sun emblem',(1.72,-.365,2.42),.115,.018,mat_banner_red,vertices=24,rot=(pi/2,0,0),coll=env)
text_obj('Nobori lettering','INARI',(1.72,-.382,1.78),.072,mat_banner_dark,env,extrude=.002)
text_obj('Nobori top mark','福',(1.72,-.382,2.65),.105,mat_banner_dark,env,extrude=.002)
# banner tie ropes
curve_poly('Banner top tie',[(1.48,-.25,2.98),(1.72,-.30,3.08)],.009,mat_rope,env)
curve_poly('Banner lower tie',[(1.48,-.25,1.18),(1.72,-.30,1.09)],.009,mat_rope,env)

# -------------------- lighting / camera --------------------
# world nodes
world=bpy.data.worlds.new('Blue hour world') if not bpy.data.worlds else bpy.data.worlds[0]
scene.world=world; world.use_nodes=True
wn=world.node_tree.nodes; wb=wn.get('Background'); wb.inputs['Color'].default_value=(0.006,0.015,0.055,1); wb.inputs['Strength'].default_value=.23

def look_at(o, target):
    o.rotation_euler=(Vector(target)-o.location).to_track_quat('-Z','Y').to_euler()

def point_light(name,loc,color,energy,radius):
    data=bpy.data.lights.new(name,'POINT'); data.energy=energy; data.color=color; data.shadow_soft_size=radius
    o=bpy.data.objects.new(name,data); collections['LIGHTS'].objects.link(o); o.location=loc; return o

def area_light(name,loc,color,energy,size,target):
    data=bpy.data.lights.new(name,'AREA'); data.energy=energy; data.color=color; data.shape='DISK'; data.size=size
    o=bpy.data.objects.new(name,data); collections['LIGHTS'].objects.link(o); o.location=loc; look_at(o,target); return o
# cool moon/sky fill
area_light('Cool blue hour fill',(-4.5,-4.5,7.5),(0.12,0.28,1.0),700,5.5,(0,0,1.8))
area_light('Soft cool rim',(4.0,2.5,5.5),(0.08,0.22,0.75),900,4.0,(0,0,2.2))
# dominant warm display and spill
point_light('Warm fluorescent inside window',(0,-1.18,2.78),(1.0,.13,.025),520,.32)
point_light('Warm ground spill',(0,-1.52,1.55),(1.0,.09,.015),240,.65)
point_light('Button halo',(.18,-1.12,1.78),(.06,1.0,.60),55,.55)
# soft highlight on shrine roof
area_light('Shrine warm top light',(0,-2.2,5.6),(1.0,.28,.08),180,2.5,(0,0,3.9))
# camera
cam_data=bpy.data.cameras.new('Presentation Camera'); cam=bpy.data.objects.new('Presentation Camera',cam_data); scene.collection.objects.link(cam)
cam.location=(-6.0,-10.5,4.75); target=(-.05,-.05,2.25); look_at(cam,target); cam_data.lens=48; cam_data.sensor_width=36
scene.camera=cam
# render setup
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'
try:
    scene.view_settings.look='AgX - Medium High Contrast'
except: pass
# ambient occlusion-like contact via world / render settings
# compositor glow
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=.75; glare.size=6; glare.mix=-.88
comp=nt.nodes.new('CompositorNodeComposite'); nt.links.new(rl.outputs['Image'],glare.inputs['Image']); nt.links.new(glare.outputs['Image'],comp.inputs['Image'])
# organize naming metadata
scene['design_notes']='Stylized late-90s Japanese drink vending machine lovingly converted to Inari shrine; all major forms procedural.'
scene['required_elements']='torii, two kitsune, shimenawa with three shide, saisen-bako, bell pull rope, omikuji rack, cans, controls, hatch, weathering, dusk road'

# save initial scene
bpy.ops.wm.save_as_mainfile(filepath='/home/oai/share/vending_shrine.blend')
# preview render
scene.render.filepath='/home/oai/share/vending_shrine_preview.png'
bpy.ops.render.render(write_still=True)
result={'objects':len(bpy.data.objects),'materials':len(bpy.data.materials),'filepath':scene.render.filepath,'camera':cam.name}

{"code":"import bpy, math, random, os\nfrom mathutils import Vector\nfrom math import sin, cos, pi\n\n# -------------------- scene reset --------------------\nrandom.seed(17)\nfor obj in list(bpy.data.objects):\n    bpy.data.objects.remove(obj, do_unlink=True)\nfor datablocks in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\n    pass\nscene = bpy.context.scene\nscene.world.color = (0.008, 0.015, 0.04)\n\n# collections\nroot = scene.collection\ncollections = {}\nfor name in ['ENVIRONMENT', 'VENDING_MACHINE', 'SHRINE_DETAILS', 'WEATHERING', 'LIGHTS']:\n    c = bpy.data.collections.new(name)\n    root.children.link(c)\n    collections[name] = c\n\n# -------------------- materials --------------------\ndef make_mat(name, color, rough=0.45, metallic=0.0, emission=None, estrength=0.0, noise=False):\n    m = bpy.data.materials.new(name)\n    m.diffuse_color = (*color, 1)\n    m.use_nodes = True\n    nt = m.node_tree\n    nt.nodes.clear()\n    out = nt.nodes.new('ShaderNodeOutputMaterial')\n    bs = nt.nodes.new('ShaderNodeBsdfPrincipled')\n    bs.inputs['Base Color'].default_value = (*color, 1)\n    bs.inputs['Roughness'].default_value = rough\n    bs.inputs['Metallic'].default_value = metallic\n    if 'Specular IOR Level' in bs.inputs:\n        bs.inputs['Specular IOR Level'].default_value = 0.45\n    if emission is not None:\n        if 'Emission Color' in bs.inputs:\n            bs.inputs['Emission Color'].default_value = (*emission, 1)\n        elif 'Emission' in bs.inputs:\n            bs.inputs['Emission'].default_value = (*emission, 1)\n        if 'Emission Strength' in bs.inputs:\n            bs.inputs['Emission Strength'].default_value = estrength\n    nt.links.new(bs.outputs['BSDF'], out.inputs['Surface'])\n    if noise:\n        tex = nt.nodes.new('ShaderNodeTexNoise')\n        tex.inputs['Scale'].default_value = 5.0\n        tex.inputs['Detail'].default_value = 2.2\n        tex.inputs['Roughness'].default_value = 0.7\n        ramp = nt.nodes.new('ShaderNodeValToRGB')\n        ramp.color_ramp.elements[0].position = 0.22\n        ramp.color_ramp.elements[0].color = (max(0.08, rough-0.12),)*3 + (1,)\n        ramp.color_ramp.elements[1].position = 0.78\n        ramp.color_ramp.elements[1].color = (min(0.92, rough+0.18),)*3 + (1,)\n        nt.links.new(tex.outputs['Fac'], ramp.inputs['Fac'])\n        nt.links.new(ramp.outputs['Color'], bs.inputs['Roughness'])\n    return m\n\ndef alpha_mat(name, color, alpha=0.3, rough=0.35):\n    m=make_mat(name,color,rough=rough)\n    bs=m.node_tree.nodes.get('Principled BSDF')\n    if bs:\n        bs.inputs['Alpha'].default_value=alpha\n        if 'Transmission Weight' in bs.inputs: bs.inputs['Transmission Weight'].default_value=0.08\n    try: m.surface_render_method='DITHERED'\n    except: pass\n    return m\n\n# palette\nmat_asphalt = make_mat('Road asphalt - blue hour', (0.035,0.045,0.060), rough=.90, noise=True)\nmat_asphalt2 = make_mat('Fresh patch asphalt', (0.055,0.065,0.075), rough=.94, noise=True)\nmat_crack = make_mat('Crack shadow', (0.008,0.010,0.013), rough=.98)\nmat_concrete = make_mat('Curb concrete', (0.27,0.29,0.30), rough=.86, noise=True)\nmat_concrete_edge = make_mat('Curb edge wear', (0.43,0.43,0.39), rough=.78, noise=True)\nmat_red = make_mat('Vermillion cabinet paint', (0.42,0.018,0.012), rough=.38, noise=True)\nmat_red_dark = make_mat('Deep red trim', (0.16,0.009,0.008), rough=.43, noise=True)\nmat_red_faded = make_mat('Sun faded vermillion', (0.57,0.105,0.055), rough=.52, noise=True)\nmat_red_wet = make_mat('Rain darkened red', (0.22,0.018,0.016), rough=.25)\nmat_cream = make_mat('Warm ivory enamel', (0.82,0.72,0.52), rough=.43, noise=True)\nmat_cream_clean = make_mat('Fresh shrine ivory', (0.96,0.86,0.68), rough=.30)\nmat_cream_shadow = make_mat('Panel shadow', (0.30,0.23,0.18), rough=.64)\nmat_glass = make_mat('Smoky tinted display glass', (0.025,0.085,0.105), rough=.18, metallic=.03)\nmat_glass_highlight = alpha_mat('Glass reflection highlight', (0.36,0.69,0.72), alpha=.22, rough=.12)\nmat_black = make_mat('Rubber and slot black', (0.008,0.010,0.012), rough=.38)\nmat_metal = make_mat('Brushed aluminum', (0.42,0.47,0.48), rough=.28, metallic=.78, noise=True)\nmat_metal_dark = make_mat('Aged steel', (0.12,0.15,0.16), rough=.43, metallic=.70, noise=True)\nmat_metal_bright = make_mat('Door highlight metal', (0.62,0.67,0.65), rough=.22, metallic=.84)\nmat_brass = make_mat('Bell brass', (0.70,0.34,0.055), rough=.24, metallic=.82, noise=True)\nmat_gold = make_mat('Lettering gold', (0.82,0.47,0.08), rough=.27, metallic=.62)\nmat_rust = make_mat('Rust orange bloom', (0.42,0.085,0.018), rough=.72, noise=True)\nmat_rust_dark = make_mat('Rust dark edge', (0.18,0.028,0.012), rough=.79, noise=True)\nmat_rust_light = make_mat('Rust fresh orange', (0.72,0.22,0.035), rough=.64)\nmat_wood = make_mat('Clean shrine wood', (0.27,0.105,0.035), rough=.46, noise=True)\nmat_wood_light = make_mat('Wood edge', (0.55,0.25,0.065), rough=.38, noise=True)\nmat_torii = make_mat('Torii vermillion fresh', (0.64,0.035,0.018), rough=.34, noise=True)\nmat_torii_dark = make_mat('Torii shaded red', (0.27,0.012,0.009), rough=.42)\nmat_rope = make_mat('Bright rice straw rope', (0.88,0.62,0.17), rough=.72, noise=True)\nmat_rope_light = make_mat('Rope fresh fibers', (0.98,0.79,0.32), rough=.64)\nmat_paper = make_mat('Crisp shide paper', (0.96,0.91,0.76), rough=.62)\nmat_paper_shadow = make_mat('Paper fold shadow', (0.69,0.54,0.37), rough=.68)\nmat_paper_red = make_mat('Fortune red ink', (0.62,0.025,0.018), rough=.52)\nmat_fox = make_mat('Glazed kitsune ceramic', (0.92,0.86,0.69), rough=.22)\nmat_fox_orange = make_mat('Kitsune ear and tail', (0.78,0.22,0.035), rough=.28)\nmat_fox_inner = make_mat('Ear inner glaze', (0.96,0.45,0.12), rough=.26)\nmat_grass = make_mat('Dusk grass', (0.055,0.16,0.055), rough=.84)\nmat_grass_light = make_mat('Grass tips', (0.14,0.30,0.08), rough=.72)\nmat_pole = make_mat('Nobori pole', (0.16,0.075,0.028), rough=.50)\nmat_banner_red = make_mat('Nobori vermillion cloth', (0.70,0.035,0.022), rough=.70, noise=True)\nmat_banner = make_mat('Nobori cream cloth', (0.92,0.78,0.55), rough=.72, noise=True)\nmat_banner_dark = make_mat('Nobori ink', (0.10,0.025,0.017), rough=.68)\nmat_faded = alpha_mat('Ghost sticker residue', (0.62,0.31,0.16), alpha=.45, rough=.70)\nmat_wet = alpha_mat('Rain streak sheen', (0.12,0.20,0.22), alpha=.45, rough=.18)\nmat_button_amber = make_mat('Button warm glow', (0.68,0.20,0.025), rough=.25, emission=(1.0,0.16,0.015), estrength=3.5)\nmat_button_cyan = make_mat('Button cool glow', (0.02,0.35,0.32), rough=.23, emission=(0.08,0.9,0.72), estrength=3.2)\nmat_button_mint = make_mat('Button mint glow', (0.10,0.48,0.32), rough=.23, emission=(0.22,1.0,0.48), estrength=3.0)\nmat_warm = make_mat('Interior fluorescent', (0.95,0.29,0.045), rough=.28, emission=(1.0,0.16,0.015), estrength=8.0)\nmat_white_emit = make_mat('Tiny label glow', (0.78,0.62,0.22), rough=.30, emission=(1.0,0.55,0.10), estrength=2.0)\n\n# -------------------- geometry helpers --------------------\ndef put(obj, coll):\n    for c in list(obj.users_collection):\n        c.objects.unlink(obj)\n    coll.objects.link(obj)\n    return obj\n\ndef cube(name, loc, dims, mat, bevel=0.0, coll=None, rot=(0,0,0)):\n    bpy.ops.mesh.primitive_cube_add(location=loc)\n    o=bpy.context.object; o.name=name\n    o.dimensions=dims\n    bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)\n    o.rotation_euler=rot\n    if mat: o.data.materials.append(mat)\n    if bevel>0:\n        mod=o.modifiers.new('Softened sheet-metal edges','BEVEL'); mod.width=bevel; mod.segments=3\n    if coll: put(o,coll)\n    return o\n\ndef cyl(name, loc, radius, depth, mat, vertices=20, rot=(0,0,0), bevel=0.0, coll=None):\n    bpy.ops.mesh.primitive_cylinder_add(vertices=vertices, radius=radius, depth=depth, 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    if bevel>0:\n        mod=o.modifiers.new('Rounded rim','BEVEL'); mod.width=bevel; mod.segments=2\n    if coll: put(o,coll)\n    return o\n\ndef uv(name, loc, scale, mat, coll=None, segments=16, rings=10):\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    if coll: put(o,coll)\n    return o\n\ndef cone(name, loc, r1, r2, depth, mat, coll=None, vertices=12, rot=(0,0,0)):\n    bpy.ops.mesh.primitive_cone_add(vertices=vertices, radius1=r1, radius2=r2, depth=depth, 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    if coll: put(o,coll)\n    return o\n\ndef torus(name, loc, major, minor, mat, coll=None, rot=(0,0,0)):\n    bpy.ops.mesh.primitive_torus_add(major_radius=major, minor_radius=minor, major_segments=20, minor_segments=8, 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    if coll: put(o,coll)\n    return o\n\ndef curve_poly(name, pts, bevel, mat, coll=None, cyclic=False):\n    cu=bpy.data.curves.new(name,'CURVE'); cu.dimensions='3D'; cu.resolution_u=2; cu.bevel_depth=bevel; cu.bevel_resolution=2; cu.fill_mode='FULL'\n    sp=cu.splines.new('POLY'); sp.points.add(len(pts)-1)\n    for p,co in zip(sp.points,pts): p.co=(*co,1)\n    sp.use_cyclic_u=cyclic\n    o=bpy.data.objects.new(name,cu)\n    (coll or root).objects.link(o)\n    if mat: cu.materials.append(mat)\n    return o\n\ndef cyl_between(name, a, b, radius, mat, coll=None, vertices=12):\n    a,b=Vector(a),Vector(b); v=b-a\n    o=cyl(name,(a+b)/2,radius,v.length,mat,vertices=vertices,coll=coll)\n    o.rotation_mode='QUATERNION'; o.rotation_quaternion=v.to_track_quat('Z','Y')\n    return o\n\ndef box_between(name,a,b,width,depth,mat,coll=None,bevel=0.0):\n    a,b=Vector(a),Vector(b); v=b-a\n    o=cube(name,(a+b)/2,(width,depth,v.length),mat,bevel=bevel,coll=coll)\n    o.rotation_mode='QUATERNION'; o.rotation_quaternion=v.to_track_quat('Z','Y')\n    return o\n\ndef poly_obj(name, verts, faces, mat, coll=None):\n    me=bpy.data.meshes.new(name+'Mesh'); me.from_pydata(verts,[],faces); me.update()\n    o=bpy.data.objects.new(name,me); (coll or root).objects.link(o)\n    if mat: me.materials.append(mat)\n    return o\n\ndef front_patch(name, cx, cz, rx, rz, mat, y=-0.84, n=11, seed=1):\n    rr=random.Random(seed)\n    verts=[(cx,y,cz)]\n    for i in range(n):\n        a=2*pi*i/n; r=1+rr.uniform(-.25,.18)\n        verts.append((cx+cos(a)*rx*r,y+rr.uniform(-.002,.002),cz+sin(a)*rz*r))\n    faces=[tuple([0]+list(range(1,n+1)))]\n    return poly_obj(name,verts,faces,mat,collections['WEATHERING'])\n\ndef side_patch(name, cy, cz, ry, rz, mat, x=-1.061, n=10, seed=2):\n    rr=random.Random(seed); verts=[(x,cy,cz)]\n    for i in range(n):\n        a=2*pi*i/n; r=1+rr.uniform(-.22,.2)\n        verts.append((x+rr.uniform(-.002,.002),cy+cos(a)*ry*r,cz+sin(a)*rz*r))\n    faces=[tuple([0]+list(range(1,n+1)))]\n    return poly_obj(name,verts,faces,mat,collections['WEATHERING'])\n\ndef text_obj(name, body, loc, size, mat, coll=None, rot=(pi/2,0,0), extrude=.004, align='CENTER'):\n    cu=bpy.data.curves.new(name+'Curve','FONT'); cu.body=body; cu.align_x=align; cu.align_y='CENTER'; cu.size=size; cu.extrude=extrude; cu.bevel_depth=.0015; cu.bevel_resolution=2\n    o=bpy.data.objects.new(name,cu); (coll or root).objects.link(o); o.location=loc; o.rotation_euler=rot\n    if mat: cu.materials.append(mat)\n    return o\n\ndef mesh_grid_banner(name, x0, x1, z0, z1, ybase, mat, cols=5, rows=6, amp=.035):\n    verts=[]\n    for j in range(rows+1):\n        z=z0+(z1-z0)*j/rows\n        for i in range(cols+1):\n            x=x0+(x1-x0)*i/cols\n            y=ybase + amp*sin((i/cols)*pi*2 + j*.45)\n            verts.append((x,y,z))\n    faces=[]\n    for j in range(rows):\n        for i in range(cols):\n            a=j*(cols+1)+i; faces.append((a,a+1,a+cols+2,a+cols+1))\n    return poly_obj(name,verts,faces,mat,collections['ENVIRONMENT'])\n\n# -------------------- environment --------------------\nenv=collections['ENVIRONMENT']; mach=collections['VENDING_MACHINE']; shrine=collections['SHRINE_DETAILS']; weather=collections['WEATHERING']\nroad=cube('Rural mountain road',(0,1.3,-.10),(14,12,.16),mat_asphalt,bevel=.03,coll=env)\n# irregular patched shoulder under machine\npatch_pts=[(-3.4,-2.55),(2.85,-2.52),(3.38,-.95),(2.72,1.9),(1.25,2.75),(-1.65,2.62),(-3.25,1.28),(-3.65,-.4)]\npoly_obj('Irregular cracked asphalt patch',[(x,y,.0) for x,y in patch_pts],[tuple(range(len(patch_pts)))],mat_asphalt2,env)\n# curb and top worn strip\ncube('Concrete roadside curb',(0,-2.32,.10),(8.6,.34,.24),mat_concrete,bevel=.035,coll=env)\ncube('Curb sunlit top',(0,-2.46,.225),(8.6,.08,.055),mat_concrete_edge,bevel=.015,coll=env)\nfor i,x in enumerate([-3.4,-2.0,-.6,.8,2.2,3.6]):\n    cube('Curb joint %02d'%i,(x,-2.30,.11),(.025,.36,.20),mat_crack,bevel=.003,coll=env)\n# cracks\ncracks=[ [(-2.2,-1.5,.012),(-1.7,-1.65,.014),(-1.48,-1.92,.015)],\n         [(1.0,-1.3,.014),(1.32,-1.48,.015),(1.66,-1.43,.015),(1.92,-1.68,.015)],\n         [(-.75,.8,.013),(-.45,.63,.014),(-.52,.30,.014)],\n         [(2.1,.2,.014),(1.8,.04,.014),(1.72,-.25,.014)] ]\nfor i,pts in enumerate(cracks): curve_poly('Asphalt crack %02d'%i,pts,.012,mat_crack,env)\n# distant layered mountain silhouettes\nmount1=[(-10,0),(-10,1.6),(-8.5,2.2),(-7.0,1.75),(-5.7,2.55),(-4.2,1.55),(-2.8,2.1),(-1.2,1.45),(0.2,2.5),(1.5,1.72),(3.0,2.35),(4.4,1.5),(6.1,2.18),(7.8,1.55),(9.5,2.4),(10,1.7),(10,0)]\npoly_obj('Far mountain silhouette',[(x,6,z) for x,z in mount1],[tuple(range(len(mount1)))],make_mat('Far mountain blue',(0.025,0.055,0.12),rough=.98),env)\nmount2=[(-10,0),(-10,1.0),(-8.6,1.6),(-7.2,1.2),(-5.8,1.9),(-4.0,1.15),(-2.0,1.75),(-.6,1.15),(1.0,1.82),(2.5,1.15),(4.0,1.7),(5.7,1.15),(7.2,1.65),(8.8,1.05),(10,1.5),(10,0)]\npoly_obj('Near mountain silhouette',[(x,5.3,z) for x,z in mount2],[tuple(range(len(mount2)))],make_mat('Near mountain blue',(0.018,0.035,0.075),rough=.98),env)\n# grass tufts around base\nfor i in range(34):\n    a=random.uniform(0,2*pi); r=random.uniform(.9,1.55)\n    x=math.cos(a)*r; y=random.uniform(-.45,.7)\n    if abs(x)<1.04 and y<.5: continue\n    h=random.uniform(.13,.32); lean=random.uniform(-.25,.25)\n    blade=cone('Grass blade %02d'%i,(x,y,.03+h/2),.022,.004,h,mat_grass_light if i%4==0 else mat_grass,env,vertices=5,rot=(lean,random.uniform(-.18,.18),random.uniform(-.35,.35)))\n\n# -------------------- vending cabinet --------------------\n# feet, plinth, main sheet-metal shell\ncube('Left leveling foot',(-.72,.18,.23),(.26,.32,.16),mat_metal_dark,bevel=.035,coll=mach)\ncube('Right leveling foot',(.72,.18,.23),(.26,.32,.16),mat_metal_dark,bevel=.035,coll=mach)\ncube('Cabinet lower plinth',(0,0,.38),(2.12,1.45,.24),mat_red_dark,bevel=.065,coll=mach)\ncube('Main vermillion vending cabinet',(0,0,2.03),(2.08,1.40,3.40),mat_red,bevel=.11,coll=mach)\n# faded side layer and roof pieces\ncube('Sun-faded left side paint',(-1.052,-.04,2.54),(.018,1.08,1.52),mat_red_faded,bevel=.018,coll=weather)\ncube('Chamfered roof cap',(0,0,3.78),(2.16,1.48,.18),mat_red,bevel=.095,coll=mach)\ncube('Roof front rain lip',(0,-.765,3.69),(2.14,.13,.13),mat_red_dark,bevel=.025,coll=mach)\ncube('Roof top worn highlight',(0,-.02,3.875),(1.75,1.10,.025),mat_red_faded,bevel=.012,coll=weather)\n# recessed cream front and strong border\ncube('Recessed warm cream front',(0,-.735,2.12),(1.82,.09,2.88),mat_cream,bevel=.035,coll=mach)\ncube('Left red front rail',(-.955,-.802,2.12),(.13,.11,2.91),mat_red_dark,bevel=.025,coll=mach)\ncube('Right red front rail',(.955,-.802,2.12),(.13,.11,2.91),mat_red_dark,bevel=.025,coll=mach)\ncube('Bottom red front rail',(0,-.802,.67),(1.94,.11,.14),mat_red_dark,bevel=.025,coll=mach)\n# display window recess and frame\ncube('Display deep recess',(0,-.792,2.88),(1.68,.055,1.19),mat_cream_shadow,bevel=.025,coll=mach)\ncube('Tinted display glass',(0,-.83,2.88),(1.54,.028,1.06),mat_glass,bevel=.018,coll=mach)\n# subtle glass highlights, glints\ncube('Glass vertical reflection',(-.57,-.852,2.89),(.025,.008,.91),mat_glass_highlight,bevel=.008,coll=weather,rot=(0,math.radians(-7),math.radians(-2)))\ncube('Glass soft reflection',(.35,-.852,3.13),(.018,.008,.38),mat_glass_highlight,bevel=.006,coll=weather,rot=(0,math.radians(-10),math.radians(2)))\n# frame rails\ncube('Window top cream frame',(0,-.875,3.465),(1.68,.10,.075),mat_cream_clean,bevel=.018,coll=mach)\ncube('Window bottom cream frame',(0,-.875,2.29),(1.68,.10,.075),mat_cream_clean,bevel=.018,coll=mach)\ncube('Window left cream frame',(-.805,-.875,2.88),(.075,.10,1.19),mat_cream_clean,bevel=.018,coll=mach)\ncube('Window right cream frame',(.805,-.875,2.88),(.075,.10,1.19),mat_cream_clean,bevel=.018,coll=mach)\n# header fascia and title\ncube('Brand header fascia',(0,-.852,3.575),(1.68,.07,.16),mat_red_dark,bevel=.018,coll=mach)\ntext_obj('Brand lettering','KITSUNE  DRINKS',(0,-.902,3.575),.073,mat_cream_clean,shrine,extrude=.003)\ntext_obj('Tiny hot cold legend','HOT  /  COLD',(.59,-.905,3.575),.030,mat_gold,shrine,extrude=.002)\n# shelves, angled slightly toward viewer\nfor j,z in enumerate([2.46,2.98]):\n    cube('Angled product shelf %d'%j,(0,-.91,z),(1.48,.36,.045),mat_metal_dark,bevel=.012,coll=mach,rot=(math.radians(7),0,0))\n    cube('Shelf bright front lip %d'%j,(0,-1.095,z-.018),(1.48,.045,.055),mat_metal,bevel=.012,coll=mach)\n# cans\ncan_colors=[(0.75,.04,.025),(0.04,.37,.42),(.88,.46,.035),(.30,.08,.42),(.18,.48,.18),(.82,.76,.25),(.11,.25,.48),(.75,.18,.08),(.55,.03,.20),(.04,.45,.34),(.75,.33,.04),(.95,.83,.55)]\ncan_mats=[]\nfor i,c in enumerate(can_colors): can_mats.append(make_mat('Can label color %02d'%i,c,rough=.30,metallic=.22,noise=True))\nxs=[-.63,-.38,-.13,.12,.37,.62]\nfor row,z in enumerate([2.67,3.17]):\n    for col,x in enumerate(xs):\n        idx=row*6+col\n        body=cyl('Drink can %02d'%idx,(x,-.968,z),.112,.285,can_mats[idx],vertices=20,rot=(pi/2,0,0),bevel=.006,coll=mach)\n        cyl('Can silver top %02d'%idx,(x,-1.118,z),.101,.014,mat_metal_bright,vertices=20,rot=(pi/2,0,0),coll=mach)\n        cyl('Can base rim %02d'%idx,(x,-.818,z),.102,.012,mat_metal_dark,vertices=20,rot=(pi/2,0,0),coll=mach)\n        torus('Can front ring %02d'%idx,(x,-1.128,z),.073,.008,mat_cream_clean if col%2 else mat_cream_shadow,coll=mach,rot=(pi/2,0,0))\n        cyl('Can logo disc %02d'%idx,(x,-1.132,z),.034,.006,mat_cream_clean if idx%3 else mat_gold,vertices=16,rot=(pi/2,0,0),coll=mach)\n        # small colored stripe across visible can face\n        cube('Can face stripe %02d'%idx,(x,-1.137,z-.062),(.055,.006,.012),mat_gold if idx%2 else mat_cream_clean,bevel=.002,coll=mach)\n# control band\ncube('Dark control band',(0,-.792,1.78),(1.66,.06,.78),mat_red_dark,bevel=.025,coll=mach)\ncube('Control band upper trim',(0,-.84,2.19),(1.64,.07,.055),mat_cream_clean,bevel=.012,coll=mach)\ncube('Control band lower trim',(0,-.84,1.37),(1.64,.07,.055),mat_cream,bevel=.012,coll=mach)\n# coin and bill modules\ncube('Coin mechanism housing',(-.60,-.855,1.97),(.32,.09,.35),mat_metal_dark,bevel=.025,coll=mach)\ncube('Coin face plate',(-.60,-.913,1.98),(.25,.018,.27),mat_metal,bevel=.012,coll=mach)\ncube('Coin slot',(-.60,-.928,2.07),(.145,.012,.028),mat_black,bevel=.006,coll=mach)\ncyl('Coin return button',(-.60,-.928,1.88),.040,.014,mat_brass,vertices=16,rot=(pi/2,0,0),coll=mach)\ntext_obj('Coin yen mark','Y',(-.60,-.942,2.00),.060,mat_black,shrine,extrude=.002)\ncube('Bill reader housing',(-.60,-.855,1.56),(.32,.09,.20),mat_metal_dark,bevel=.022,coll=mach)\ncube('Bill reader slot',(-.60,-.922,1.58),(.20,.014,.034),mat_button_cyan,bevel=.006,coll=mach)\ncube('Bill reader indicator',(-.60,-.925,1.51),(.105,.009,.016),mat_cream_clean,bevel=.003,coll=mach)\n# selection grid 11 illuminated buttons with tags\nbutton_mats=[mat_button_amber,mat_button_cyan,mat_button_mint]\nbutton_xs=[-.19,.10,.39,.68]; button_zs=[2.05,1.80,1.55]\nbutton_index=0\nfor r,z in enumerate(button_zs):\n    for c,x in enumerate(button_xs):\n        if r==2 and c==3: continue\n        bm=button_mats[button_index%3]\n        cube('Selection button housing %02d'%button_index,(x,-.86,z),(.215,.065,.145),mat_metal_dark,bevel=.018,coll=mach)\n        cube('Illuminated selection face %02d'%button_index,(x,-.903,z),(.168,.012,.092),bm,bevel=.010,coll=mach)\n        cube('Price tag %02d'%button_index,(x,-.906,z-.105),(.17,.018,.043),mat_cream_clean,bevel=.006,coll=mach)\n        text_obj('Price %02d'%button_index,'120',(x,-.922,z-.105),.027,mat_red_dark,shrine,extrude=.0015)\n        button_index+=1\n# tiny side label on controls\ntext_obj('Control hint','SELECT',(-.60,-.925,1.72),.033,mat_gold,shrine,extrude=.0015)\n# bell replacing last button\nbx,bz=.68,1.55\ncyl('Bell mounting neck',(bx,-.875,1.63),.034,.10,mat_metal,vertices=12,coll=mach)\ncone('Tiny brass bell',(bx,-.923,bz),.092,.055,.13,mat_brass,coll=shrine,vertices=20)\ntorus('Bell flared rim',(bx,-.923,bz-.06),.078,.012,mat_gold,coll=shrine)\nuv('Bell clapper',(bx,-.923,bz-.105),(.025,.025,.025),mat_metal_dark,shrine,segments=12,rings=6)\n# rope segmented red-white pull\nfor i,(z0,z1,mm) in enumerate([(1.42,1.34,mat_paper),(1.34,1.26,mat_paper_red),(1.26,1.18,mat_paper)]):\n    cyl_between('Bell pull rope %d'%i,(bx,-.927,z0),(bx,-.927,z1),.014,mm,shrine,vertices=10)\nuv('Bell pull handle',(bx,-.927,1.15),(.055,.035,.026),mat_paper_red,shrine,segments=12,rings=6)\n# lower dispensing hatch\ncube('Dispense recess',(.32,-.845,1.00),(1.00,.06,.42),mat_black,bevel=.025,coll=mach)\ncube('Dispensing metal push door',(.32,-.905,1.02),(.84,.075,.29),mat_metal_bright,bevel=.035,coll=mach,rot=(math.radians(-5),0,0))\ncube('Door inset shadow',(.32,-.948,1.03),(.69,.012,.16),mat_metal_dark,bevel=.015,coll=mach)\ncube('Door push handle',(.32,-.987,1.035),(.28,.025,.035),mat_metal,bevel=.012,coll=mach)\nfor i,x in enumerate([-.08,.72]):\n    cyl('Hatch hinge %d'%i,(x,-.94,1.19),.027,.16,mat_metal_dark,vertices=12,rot=(0,pi/2,0),coll=mach)\n# offering box beside hatch\ncube('Saisen bako body',(-.62,-.965,.98),(.43,.30,.30),mat_wood,bevel=.025,coll=shrine)\ncube('Saisen bako front panel',(-.62,-1.125,1.00),(.37,.018,.20),mat_wood_light,bevel=.010,coll=shrine)\ncube('Offering box top rim',(-.62,-.965,1.145),(.46,.32,.045),mat_wood_light,bevel=.012,coll=shrine)\nfor i,x in enumerate([-.78,-.70,-.62,-.54,-.46]):\n    cube('Offering box top slat %d'%i,(x,-.965,1.18),(.045,.27,.045),mat_wood_light,bevel=.008,coll=shrine)\n# offering box metal bolts\nfor x in [-.79,-.45]:\n    cyl('Saisen bolt', (x,-1.145,.90),.018,.012,mat_metal_dark,vertices=12,rot=(pi/2,0,0),coll=shrine)\n# front bolts and rust halos\nfor i,(x,z) in enumerate([(-.89,.72),(.89,.72),(-.89,3.48),(.89,3.48),(-.89,1.34),(.89,1.34)]):\n    torus('Rust halo bolt %02d'%i,(x,-.87,z),.052,.012,mat_rust_dark,coll=weather,rot=(pi/2,0,0))\n    cyl('Front bolt %02d'%i,(x,-.892,z),.033,.026,mat_metal_dark,vertices=12,rot=(pi/2,0,0),coll=mach)\n# weathering rust patches / blooms\nfront_patch('Rust bloom lower left',-.82,.55,.22,.12,mat_rust,y=-.872,seed=7)\nfront_patch('Rust bloom lower center',.48,.51,.28,.10,mat_rust_dark,y=-.872,seed=8)\nfront_patch('Rust orange fleck lower right',.80,.72,.10,.08,mat_rust_light,y=-.877,seed=9)\nfront_patch('Rust drip near hatch',-.04,.74,.08,.19,mat_rust,y=-.877,seed=10)\nfront_patch('Rust halo top corner',-.82,3.47,.09,.07,mat_rust_light,y=-.878,seed=11)\n# small rust drip trails\nfor i,(x,z0,z1) in enumerate([(-.82,.65,.43),(.48,.58,.40),(.02,.82,.60),(.79,.78,.67)]):\n    curve_poly('Rust drip %02d'%i,[(x,-.882,z0),(x+random.uniform(-.018,.018),-.883,(z0+z1)/2),(x+random.uniform(-.02,.02),-.884,z1)],.010,mat_rust_dark,weather)\n# ghost rectangular sticker outline on left side panel\n# side plane is x=-1.065, spanning y/z\ncube('Ghost sticker faded field',(-1.068,-.10,2.28),(.018,.66,.58),mat_faded,bevel=.008,coll=weather)\n# mask center slightly back? outline pieces in brighter faded color\nfor nm,loc,dims in [\n ('Ghost sticker top',(-1.081,-.10,2.59),(.018,.72,.025)),\n ('Ghost sticker bottom',(-1.081,-.10,1.97),(.018,.72,.025)),\n ('Ghost sticker front',(-1.081,-.45,2.28),(.018,.025,.60)),\n ('Ghost sticker back',(-1.081,.25,2.28),(.018,.025,.60))]:\n    cube(nm,loc,dims,mat_red_faded,bevel=.004,coll=weather)\n# streaks under roof lip on front frame and left side\nfor i,(x,zend) in enumerate([(-.91,2.54),(-.84,2.72),(.86,2.76),(.92,2.45),(-.75,3.05),(.75,3.12)]):\n    curve_poly('Rain streak front %02d'%i,[(x,-.884,3.62),(x+random.uniform(-.008,.008),-.887,3.38),(x+random.uniform(-.012,.012),-.888,zend)],.009 if i<4 else .006,mat_wet,weather)\nfor i,y in enumerate([-.58,-.34,-.08,.20,.42]):\n    curve_poly('Rain streak side %02d'%i,[(-1.078,y,3.64),(-1.082,y+random.uniform(-.015,.015),3.35),(-1.084,y+random.uniform(-.025,.025),2.9-random.uniform(0,.3))],.010,mat_red_wet,weather)\n\n# -------------------- shimenawa and shide across display --------------------\n# two visible strands and fringe knots\nfor j,off in enumerate([-.025,.025]):\n    pts=[]\n    for i in range(13):\n        t=i/12; x=-.78+1.56*t; z=3.57+off+.018*sin(t*pi*2); y=-1.02-.006*cos(t*pi)\n        pts.append((x,y,z))\n    curve_poly('Shimenawa twisted strand %d'%j,pts,.026 if j==0 else .020,mat_rope if j==0 else mat_rope_light,shrine)\nfor i,x in enumerate([-.70,-.36,0,.36,.70]):\n    torus('Rope knot %d'%i,(x,-1.025,3.56),.045,.012,mat_rope_light,shrine,rot=(pi/2,0,0))\n    # hanging small straw tassel\n    curve_poly('Straw tassel %d'%i,[(x,-1.03,3.53),(x,-1.03,3.46)],.009,mat_rope,shrine)\n# shide zigzag streamers, each made of folded rectangular segments\nfor si,cx in enumerate([-.52,0,.52]):\n    p=[(cx,-1.055,3.54),(cx+.10,-1.062,3.43),(cx-.055,-1.064,3.31),(cx+.08,-1.066,3.18),(cx-.03,-1.067,3.08)]\n    for k in range(len(p)-1):\n        box_between('Shide %d fold %d'%(si,k),p[k],p[k+1],.070,.014,mat_paper,shrine,bevel=.006)\n    # folded hanging tab\n    cube('Shide paper fold %d'%si,(cx+.025,-1.075,3.19),(.10,.018,.055),mat_paper_shadow,bevel=.008,coll=shrine,rot=(0,math.radians(12*(si-1)),math.radians(8*(si-1))))\n\n# -------------------- roof offering and torii --------------------\ncube('Roof shrine offering platform',(0,.02,3.91),(1.48,.72,.12),mat_wood,bevel=.035,coll=shrine)\ncube('Platform bright front edge',(0,-.35,3.96),(1.36,.045,.06),mat_wood_light,bevel=.012,coll=shrine)\n# small stone feet under torii\nfor x in [-.58,.58]:\n    cyl('Torii stone foot',(x,.07,4.00),.105,.09,mat_concrete_edge,vertices=16,coll=shrine)\n# torii posts and crossbeams\nfor x in [-.60,.60]:\n    cube('Torii upright',(x,.07,4.36),(.14,.16,.78),mat_torii,bevel=.028,coll=shrine)\n    cube('Torii upright dark base',(x,.07,4.02),(.17,.19,.10),mat_torii_dark,bevel=.018,coll=shrine)\ncube('Torii lower crossbar',(0,.07,4.48),(1.42,.17,.13),mat_torii_dark,bevel=.022,coll=shrine)\ncube('Torii upper crossbar',(0,.07,4.68),(1.68,.20,.14),mat_torii,bevel=.035,coll=shrine)\n# slightly raised caps at ends suggest kasagi\ncube('Torii left cap',(-.82,.07,4.735),(.28,.21,.10),mat_torii,bevel=.035,coll=shrine,rot=(0,math.radians(-3),math.radians(-2)))\ncube('Torii right cap',(.82,.07,4.735),(.28,.21,.10),mat_torii,bevel=.035,coll=shrine,rot=(0,math.radians(3),math.radians(2)))\n# torii small gold fasteners\nfor x in [-.60,.60]:\n    cyl('Torii gold peg',(x,-.025,4.49),.025,.018,mat_gold,vertices=12,rot=(pi/2,0,0),coll=shrine)\n# fox figurines facing one another\ndef make_fox(label, d):\n    bx=.27*d; by=-.22\n    uv(label+' ceramic body',(bx,by,4.14),(.16,.14,.23),mat_fox,shrine,segments=20,rings=12)\n    uv(label+' haunch',(bx-.035*d,by+.02,4.08),(.13,.14,.17),mat_fox,shrine,segments=16,rings=10)\n    hx=bx+.13*d\n    uv(label+' fox head',(hx,by,4.37),(.14,.13,.145),mat_fox,shrine,segments=20,rings=12)\n    uv(label+' muzzle',(hx+.095*d,by-.012,4.335),(.075,.085,.055),mat_fox,shrine,segments=16,rings=10)\n    uv(label+' nose',(hx+.155*d,by-.015,4.34),(.022,.028,.023),mat_black,shrine,segments=12,rings=8)\n    # ears\n    for ei,ey in enumerate([by-.065,by+.065]):\n        cone(label+' ear %d'%ei,(hx+.015*d,ey,4.535),.060,.012,.19,mat_fox_orange,shrine,vertices=4)\n        cone(label+' inner ear %d'%ei,(hx+.018*d,ey-.003,4.55),.028,.006,.095,mat_fox_inner,shrine,vertices=4)\n    # collar and bib\n    torus(label+' red collar',(bx+.10*d,by,4.285),.105,.018,mat_torii,shrine)\n    verts=[(hx+.04*d,by-.135,4.30),(hx+.15*d,by-.135,4.30),(hx+.095*d,by-.14,4.14)]\n    poly_obj(label+' red bib',verts,[(0,1,2)],mat_torii,shrine)\n    # eye visible toward camera, plus far eye for silhouette\n    for ey in [by-.12,by+.11]:\n        uv(label+' eye',(hx+.055*d,ey,4.395),(.018,.014,.018),mat_black,shrine,segments=10,rings=6)\n    # curled tail as a clean orange curve\n    back=bx-.16*d\n    pts=[(back,by+.03,4.12),(back-.12*d,by+.05,4.22),(back-.22*d,by+.06,4.33),(back-.30*d,by+.04,4.25),(back-.27*d,by+.02,4.15)]\n    curve_poly(label+' curled tail',pts,.052,mat_fox_orange,shrine)\n    uv(label+' tail tip',pts[-1],(.065,.055,.065),mat_fox_orange,shrine,segments=12,rings=8)\nmake_fox('Left kitsune',1)\nmake_fox('Right kitsune',-1)\n# little offering bowl between foxes\ncyl('Small offering bowl',(0,-.23,4.04),.12,.08,mat_cream_clean,vertices=20,coll=shrine)\ntorus('Offering bowl rim',(0,-.23,4.085),.105,.014,mat_gold,shrine)\n\n# -------------------- omikuji rack on machine left side --------------------\n# rack brackets and wire frame\nfor y in [-.54,.26]:\n    cyl_between('Rack bracket %s'%y,(-1.07,y,2.06),(-1.22,y,2.06),.022,mat_metal_dark,weather,vertices=10)\nfor y in [-.58,.30]:\n    cyl_between('Rack vertical wire %s'%y,(-1.23,y,1.27),(-1.23,y,2.18),.018,mat_metal,weather,vertices=10)\ncyl_between('Rack upper horizontal wire',(-1.23,-.61,2.12),(-1.23,.33,2.12),.020,mat_metal,weather,vertices=12)\ncyl_between('Rack lower horizontal wire',(-1.23,-.61,1.42),(-1.23,.33,1.42),.015,mat_metal_dark,weather,vertices=10)\n# fortune strips in side yz plane, varied angles / lengths\nfortune_specs=[(-.54,1.78,.34,-12,.02,mat_paper),(-.38,1.72,.43,9,-.08,mat_paper_shadow),(-.20,1.82,.30,-18,.05,mat_paper),(-.02,1.69,.48,6,.09,mat_paper),(.16,1.78,.37,22,-.04,mat_paper_shadow),(.28,1.72,.29,-8,.11,mat_paper)]\nfor i,(y,zc,h,ang,fold,pm) in enumerate(fortune_specs):\n    # hanging main paper, narrow in Y and thin in X\n    strip=cube('Omikuji fortune strip %02d'%i,(-1.27,y,zc),(.022,.115,h),pm,bevel=.008,coll=shrine,rot=(math.radians(ang),0,math.radians(fold)))\n    # red tied knot at upper wire, little cord down the front\n    uv('Omikuji knot %02d'%i,(-1.265,y,2.105),(.035,.035,.028),mat_paper_red,shrine,segments=10,rings=6)\n    cyl_between('Omikuji tie cord %02d'%i,(-1.27,y,2.10),(-1.27,y,2.04),.009,mat_paper_red,shrine,vertices=8)\n    # two ink bands on each paper, offset slightly outward on -X face\n    for j,zz in enumerate([zc+h*.23,zc-h*.15]):\n        cube('Omikuji ink mark %02d %d'%(i,j),(-1.287,y,zz),(.008,.075,.012),mat_paper_red if j==0 else mat_banner_dark,bevel=.002,coll=shrine,rot=(math.radians(ang),0,math.radians(fold)))\n# side charm plaque\ncube('Side prayer plaque',(-1.085,.45,1.15),(.025,.22,.28),mat_wood_light,bevel=.012,coll=shrine)\ntext_obj('Side plaque mark','FUKU',(-1.106,.45,1.16),.040,mat_torii,shrine,rot=(pi/2,0,pi/2),extrude=.002)\n\n# -------------------- nobori banner --------------------\n# pole and cap\ncyl('Nobori banner pole',(1.48,-.22,1.72),.032,3.18,mat_pole,vertices=16,coll=env)\nuv('Nobori pole finial',(1.48,-.22,3.34),(.065,.065,.065),mat_brass,env,segments=16,rings=8)\n# outer red cloth and inner cream field\nmesh_grid_banner('Nobori red outer cloth',1.51,1.94,1.02,2.98,-.28,mat_banner_red,cols=5,rows=8,amp=.045)\nmesh_grid_banner('Nobori cream inner cloth',1.555,1.885,1.15,2.84,-.315,mat_banner,cols=5,rows=8,amp=.035)\n# banner emblem, circle and lettering on camera side\ncyl('Nobori sun emblem',(1.72,-.365,2.42),.115,.018,mat_banner_red,vertices=24,rot=(pi/2,0,0),coll=env)\ntext_obj('Nobori lettering','INARI',(1.72,-.382,1.78),.072,mat_banner_dark,env,extrude=.002)\ntext_obj('Nobori top mark','福',(1.72,-.382,2.65),.105,mat_banner_dark,env,extrude=.002)\n# banner tie ropes\ncurve_poly('Banner top tie',[(1.48,-.25,2.98),(1.72,-.30,3.08)],.009,mat_rope,env)\ncurve_poly('Banner lower tie',[(1.48,-.25,1.18),(1.72,-.30,1.09)],.009,mat_rope,env)\n\n# -------------------- lighting / camera --------------------\n# world nodes\nworld=bpy.data.worlds.new('Blue hour world') if not bpy.data.worlds else bpy.data.worlds[0]\nscene.world=world; world.use_nodes=True\nwn=world.node_tree.nodes; wb=wn.get('Background'); wb.inputs['Color'].default_value=(0.006,0.015,0.055,1); wb.inputs['Strength'].default_value=.23\n\ndef look_at(o, target):\n    o.rotation_euler=(Vector(target)-o.location).to_track_quat('-Z','Y').to_euler()\n\ndef point_light(name,loc,color,energy,radius):\n    data=bpy.data.lights.new(name,'POINT'); data.energy=energy; data.color=color; data.shadow_soft_size=radius\n    o=bpy.data.objects.new(name,data); collections['LIGHTS'].objects.link(o); o.location=loc; return o\n\ndef area_light(name,loc,color,energy,size,target):\n    data=bpy.data.lights.new(name,'AREA'); data.energy=energy; data.color=color; data.shape='DISK'; data.size=size\n    o=bpy.data.objects.new(name,data); collections['LIGHTS'].objects.link(o); o.location=loc; look_at(o,target); return o\n# cool moon/sky fill\narea_light('Cool blue hour fill',(-4.5,-4.5,7.5),(0.12,0.28,1.0),700,5.5,(0,0,1.8))\narea_light('Soft cool rim',(4.0,2.5,5.5),(0.08,0.22,0.75),900,4.0,(0,0,2.2))\n# dominant warm display and spill\npoint_light('Warm fluorescent inside window',(0,-1.18,2.78),(1.0,.13,.025),520,.32)\npoint_light('Warm ground spill',(0,-1.52,1.55),(1.0,.09,.015),240,.65)\npoint_light('Button halo',(.18,-1.12,1.78),(.06,1.0,.60),55,.55)\n# soft highlight on shrine roof\narea_light('Shrine warm top light',(0,-2.2,5.6),(1.0,.28,.08),180,2.5,(0,0,3.9))\n# camera\ncam_data=bpy.data.cameras.new('Presentation Camera'); cam=bpy.data.objects.new('Presentation Camera',cam_data); scene.collection.objects.link(cam)\ncam.location=(-6.0,-10.5,4.75); target=(-.05,-.05,2.25); look_at(cam,target); cam_data.lens=48; cam_data.sensor_width=36\nscene.camera=cam\n# render setup\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'\ntry:\n    scene.view_settings.look='AgX - Medium High Contrast'\nexcept: pass\n# ambient occlusion-like contact via world / render settings\n# compositor glow\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=.75; glare.size=6; glare.mix=-.88\ncomp=nt.nodes.new('CompositorNodeComposite'); nt.links.new(rl.outputs['Image'],glare.inputs['Image']); nt.links.new(glare.outputs['Image'],comp.inputs['Image'])\n# organize naming metadata\nscene['design_notes']='Stylized late-90s Japanese drink vending machine lovingly converted to Inari shrine; all major forms procedural.'\nscene['required_elements']='torii, two kitsune, shimenawa with three shide, saisen-bako, bell pull rope, omikuji rack, cans, controls, hatch, weathering, dusk road'\n\n# save initial scene\nbpy.ops.wm.save_as_mainfile(filepath='/home/oai/share/vending_shrine.blend')\n# preview render\nscene.render.filepath='/home/oai/share/vending_shrine_preview.png'\nbpy.ops.render.render(write_still=True)\nresult={'objects':len(bpy.data.objects),'materials':len(bpy.data.materials),'filepath':scene.render.filepath,'camera':cam.name}\n"}