[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 writing a single Python script for Blender 5.1 using the bpy API. The scene starts empty. Your script must build everything the user's prompt asks for.

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.

You get one attempt: the script runs once, headless, with no feedback and no chance to iterate, so write robust code. Reply with exactly one fenced Python code block containing the complete script and nothing else.

[User]
## Task

Complete the following Blender task:

<task>

A single goldfish as the hero of the shot: rounded body, a big flowing tail fin,
dorsal and side fins, and an eye on each side, in an unmistakable goldfish orange.

The floor is a shape any child would name instantly. The ceiling is life: a gentle
S-curve in the body as if mid-swim, translucency toward the fin edges, a subtle
scale pattern, and a calm watery backdrop that makes the orange pop.

</task>

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

Your result will be compared head-to-head with another model. Anyone on the internet can vote based 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 writing a single Python script for Blender 5.1 using the bpy API. The scene starts empty. Your script must build everything the user's prompt asks for.

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.

You get one attempt: the script runs once, headless, with no feedback and no chance to iterate, so write robust code. Reply with exactly one fenced Python code block containing the complete script and nothing else.

[User]
## Task

Complete the following Blender task:

<task>

A single goldfish as the hero of the shot: rounded body, a big flowing tail fin,
dorsal and side fins, and an eye on each side, in an unmistakable goldfish orange.

The floor is a shape any child would name instantly. The ceiling is life: a gentle
S-curve in the body as if mid-swim, translucency toward the fin edges, a subtle
scale pattern, and a calm watery backdrop that makes the orange pop.

</task>

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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: 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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1788603334-XnTRUjjP1flBv1goRyDk","object":"chat.completion.chunk","created":1788603334,"model":"openai/gpt-6-astra","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqm-wBsa0hOCHtj262l46IyZcO3KquaLhDQ4yu5CNlNAhq4nhkcg0_BG2nLn0xOE7jWYCRg9XFxpLifX1u-hTyPIHB5sQ5vclz8gjuXH5JPWOmMXDj660My85dd5TmvX_DV8ZcvCOE3YoTO-kikXPvSc03VoI9rgiEE38YBYP4QtLo31KdaZdmMl1Ql4yqv1RIYOxLB9TrJZ36kOVHVfyPKZtBB6bRYvu6-A6QszBz3la76UruHNG4Vn72uKfILeY_j0GV2o87iYUK4JP4Bkju59dkwGr4umoKZP4CP3LwfOhAe7UxXo5XhTwKaO6ctJqDjcXdCIm94GePVcSMeGpCYQQOkKwcHRbHyGgeTlem3YzmdNpDjpvcmWnEJpnS3ANrrixiGZN0GmmaNi1RfcJMQLozGILIYC4yQBXbB3kCupcH9RnIn9PUWoWCuUf-SCqM89OXbwx74q4TvW3NbDx8VFv9jw1x73KOtvkzRGwCewK2czgYKkPgpjGWlLsePFpZ1t4PM-p-M8tvKTW861itm3m0frp0d0R25la2JX3bgu1VXu_eyFMLtZRiFA1rTdS_ERzXOm0hsoWPd20cWDRwiDSssk1U90WqsjNxlPukpE5nwBwUJmKG-gmSgcHK1zikfOuB63ugWED7CHChCZmTKdotsGp7YRowuiD7HcK5Z__9ZyyrDWBaE2RV2wOQBJLtcDWY1oNY16qtM3Z1sVvdBS6RF0ZSbRWWYB8Cib1EbWM9rBXgdtWh1u-YGa-TFfw3TX0ooQvHISG59w-88uUb99HlhXbtdUMxfiWqtGxWWHLyCja2YVt8mVQDFPJPavqp08xfPz0CGuUvoBByDnCzyHHAtXqWAix7S-YPBRRulTRfwKPnaY0eAs7S7p1oBDHbaEOG_LkE8tQZM2yzDShccHt06xsHIirMmfT5EblhHYvG9xvDreUCWiV9hLh_5R-QA51Wxvvimaq0ULynJlW7CpRovYIg1VIlmMz0KlupnxK5yfJGCAPI8tC69dnfo097VMaBPKMOm0QZoqYM5jkfJ5hJo7Gd54lTmvnNzpYm52Ig-c-s-e6kuQlUtrT4DEM0ZAngKtioUQh4S04Jq9uyh6PNjESQtDL4EA_9GU1Y2HGd2o7BoTZv_vtT3W0X4s6_A_4SdxEq9udF22mEMtaQDsfFBC-f3IHXKMrl_H-7jFf2vUjfwA8qMMiA-_Sfgws1Ef_q1tojPBdWOlib2F1GuCaJb35mM4j-1E5cCAExWiZkt0yX8JhfhAquCVL3mvJydy48_N6tDHkw9u9Ojw1btma7TQug5nC6S2zC0YX2S5aj4ZfCEzWzqpAdg-hz-MoQpP3kLKpE6LOSLiW46kAq4MwV_lOl-40kpuHUK0FdQJja18_1HdV61Ub_0YyVENWHpfqB2Is5i3vppups9E-6BFEfwp-8Bva4gNzZc1nLXD_9giRuBd41Cdkq0mfI_XJcXJ0o_KiXj37BmoXaA0ILqMEWg66ICNAc7VqzRlQ1cvffkuqyG1c9gjcWzXPjTGApb3YqAik_2d8LzTPP4pugWoMvmQvwoc57l4d5u7zdytbE7CLVi27u5Npydtou98EdHQHP4W17MXh0cG96YG2jTeGMa-yfCSwTVcQiYV7UCx6IrK_4gdO4M72aN1TdgQXJ-cwr71Ui8XAIYR_DiQtapifOS1lMhEOefKCFum3BC60vwXnOdVKWspZWwCNvpAcsx2JgoO6mwWpr97vkN20fxqXPOYZpxTas0QHrHt4oGnAhD3POLcNZsmJCDsUcLJdrxy3Y6rntyEJDoFeTbmAfxrJkZR8rPvkVDNcRZxOyW7OT05X917tvy984uMhjLm43uhxNs4019htpuqqOqmSU6CGnSNRQdTCZ74Xqf0zt_UTUuBZv1TZoa7qKXVBtegdM_gt9gkdbNQwmxGIIob-4_EoJ0FSSHlnW10tBZm81dyzqm4Ms8YWlTfqQyPtMAF2r_ETQDCUbhz2aCdo2jTEAHHKoqysg44QjUvzfDbY7Z6RtCNXjqspVDbHlLqsD3GqAImFpZvkUFRiiQHhcO3oeoePCtHUzRMTviSM85ubv0m0wKzOFrQr3jWBmaE7fnta-3C0mEk8LE9G10xem1TsKHnxnwLmf183uflYwErNFFZ--ntcQ4CPMAPhyp6c1NchXnTcczOL36C4gnyIhk1lEjlMtzJ6iMVkQ6KpPpZupvZxysevs3L5_frfCWRKA3pYICcyxwhOv0he5fBzZQGPK0iGDRzeC69wACqlR9r799Pmk6UXgLBwQbbHZrBuVB5E6MjGXrRn0Z-uGcx2NcN2GvNb_k5QTPDWue6YFtgYjWvCif5jGV0kvF0_6zJFbjeilCq6bxbWpFPfq8jAv5n4qV_c3gJl2Re_mUxf0wszWDCEYHC4fspgcEzLCKTZL7sCfTbZYAjYuQ3z7nRhmndTYqHTcAosOvMWGoyG6VLBM322ApnUiRgZ4i80CQKCVcb_rSBF357mLZaFLeS-5Oa-JxreOnRRwmfRbScGyYvvSClxk8Gm4TPxuLitbwkje9qlrks-7Ib_e0VE4UqCJEI7uPNK6pAPGVOfNs5dUdLgJbCM5eAD7fkrEFe0aUQOLr50qe9ZR4K2q9KJnMBHZXX2mDrQX7b9mbc6U5Q4khNroUxjVqKk_BDfpd2IvbZJcEcRtlxLuAI5IboNd-c8tQ6y9kL40REGYPApJNwlvaxC0YS-3OOATzJFbHewbWR1qH4P-gBwezFt-7LMovTrLz8A4WZ9qw9WrCU8g4aItnJ2Z_x9qOmzbNfruxWMPR3bC8OBLVlmALhRfCGr0zWqW2iIQL2dNAQd5dumtu0sCHCfy6bYC2_WLrliARgZU4OLEiGRBPt5qLAyXY4YM247q7dV28zjaRDX2op_NN6USYaYHFL7iY9sX_zRbRmB4f0TylP7cA3G-tdQaWGIXB8BipllUT8SWz1KCch6eqjK-CIEEYDKGYEk_RWRImUGmDN5Sp72r2Vp2WQUSgZIKmv_ha8vqdLxuCcmypC3Vaqcu5wDpqu7D7dsVFMRaVNRJXLSG6t5pMSoxsURg04XIQc8JjS6-zfehh3yJvjy4UEgra8m9yL2faIt85cRpX2bvszwc2rKOHhNWih8mdzI7mm1UpixkaaOkhimInrcGy3NPHN26a9f0je0cAyl6uldhFCTrE4kelbHF5aLWkvbrsr0AKfFptN3vHCbnmN7DCoPjlYXlLStOEqBN8EimwsvqNXH9Vnlx75hVC9eGngm7gpWz7q5_fq-ieo14mvQ37075wMpZK_hesua4uC3pEGfUHHckIcI_NdyUTVrnX5ybHmYyln63YPyXnJJRvn_dgh_s_fcQWnbKbihBCm1yixQF2nBsec7ax02lKX8XuGLisAhNwhNtVcWBaJWGAyq628ZHd2j7SrYukw0riIDkmKNlaBQanKhnSnH3bdHwQfIIHKNrhwB1aGmgdGvynr95yRce-QL3B_u1M1Vm3zr5LrGR-ldDWmt-pr7izQmPyu9wbBCuIB8v2Ab8x8dwBD7DPkaBECT4Nb1iZBLj29xzkWotI0dbsAJC-g_8197yrGM7USlf5hrusauTQ0ZWtADnb3vqr895ahx_t1dJAOidW_S9ljob73n_OTZ53K014jPQI22FgFwciPwu8KlB_cNgb9eju1KyewP_iMJfUXM5q-H15P3VgpIY-KfKdcrHwPNcReHor2Xcl3EABhTsQq1C--0QHIcLukXixOGGck1Kd06G2sVOqgRA7itkoXQciA1b8MfUULmDdD3o1D3nYUSzCKQn33Yq5oHMR1mHZTl6dXwKPv1hfx0iXzlByqR9BEvif7D5IM1w2sS5SN6-3vjxhSug80yKblqhj9HEd0JZTPnLsrpNVA4b2RK9iFCmpztubL5NSykkqUGWAp4VOk8IZusc79AgvqRnvGjsfklLCabxCseidmgBG2K0QORWvSGNHHQdvk52HoanPf_K1y3XwmC_VsGuVHmL6WtZRXuYgTWK0KLfwQY6UDp9wIb2iMz5T-eS2_r6Uf-Uo2kXH_4rWlLaaUjka1q0wuSqXjsoIvBlW2ciDQQTm4RExdJ1h36lq-K81C-vjGl4rLusJqIPWQAD7Au8t9ZfiiQ=.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC02LWFzdHJhLTIwMjYwOTAzfG9wZW5haSJ9","format":"openai-responses-v1","id":"rs_0ef85bac351fffcc016a9bebf61c2487d18c44ad66cbfecce0","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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1788603334-XnTRUjjP1flBv1goRyDk","object":"chat.completion.chunk","created":1788603334,"model":"openai/gpt-6-astra","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqm-wLk5iUrnLNp10vLu1jATX4DD-kJZezd7fdXd0udO-YEcrCV7v0JQUnfnBwx3mOPzQZcj6GlvOaH8e2GsDPVBR4BYD6-Pm3zfBGciRJ9YpYZD6Ttg__CxKFLwwVZnNnTr2Vn66IrsFAJpGEcgH3tGclm1c8ZdnsU51oOL8u0-NI8AsWmCopFFLzAbG6Np7akat0MsB0UTjga8XqxgTW3QgEwjvt-Bd8HChsiEyZtbaXP9ltN2PAyn5i_uwLHnpKiOq7TpVuDtAgampnKSasd967kV3wT__UFLz6CqJqblGCRxCHp0Fyr_6Y_8eW1z5VmFaoavyduHVssIKF5TNTAoEmZ6irwxlIdEUWN1I2B6nzJdniLyGCURzwfYsKq6fabkb6gmGFBPwC9ilI8qfNKSYzmgqt65CyCNyK7gUMOuuonW2wPh_6NwzfSaWeRRlsvyPOegMhlWdI1L1VSJTCajdz9IL-ZOYxZ_069-XtqYusxzdWbT0QDh03tXq_RknyJO5w_Pu8Ermf6GO-buVmvJcyqSoSLdtNrd4uO60Qf3eLhgEB1P-BTXYqqACcmeqDa9WBQ89s3w7BZz7Zd5NC5jlZYQurAP69_Z2prvSHWEkpL8XdIRp6Yv0heO3Jd97Yhi3Lqo2q6fwdOEJ8esOjrInlYIEY3CtwiLn4Vwybst13vIKisk32_IdSgcLAOpuPlIn5a7G3NFvcqqZsFKMcoWd4mbOKTjPE38k-dMt_sr7LvMWeloAPArichHAkO5piZnATUVEE1mQA-bsZNS6wbltlQ3qRvZapeS8rbG51vg59h_e4CDkcO0NcK1yb5YZ6kalk3b7zwubHNxW7JPeRywIyFpVDRd_BuoT-_uksxaH5ivtyTmGXQCEYd9q0tAVzfSHWPvI4NtEVeopUZvq-yJlk9Tx-VIWFkz-YclAZdrzfrDvGisb3wP4rVRMmVlrnLaIJ9QEnzMlJ2qzXmQqzZ2iLbLdyCKHyX6v5PHXfrH0-O2_2hyzgp8jRkjansKRw47qMeWvQcuu-62-4GnaZL9RndQ7n01RyJKIqL0QKT6INazt512u9KtAiZ0zEXPS3STENdl3vGYqaabhdcs2bbnDyr8sZFK_UTVD1g3Xa8jXhkprbIVYQCit5qwV7oSzM3RSk-z40IfE2Mz3JVMJJ9uM6Iz3Hdb_w3jhgRMrLk6EOsW3ZXnQczU5T1KREdxGRE_W4tunqT_gCOTnOuaFfnVoBVjxJ8HPjXram-05I9LaNs-qaabkMyTU-SLNq-VPqepLQJE6TCDpiUfgxSGteG2y8VqOB6EmoAAgeIBXgDKhAD4koWWLgOu_YvFODQXehkuyAO2naTYyxXIfCQT4Grh7_lFbQWRLYK1rJUwBgQYNwvsoJiwdMyBRA6AX1i_XXL_3UaKf89pe7_sCWHzTCY8uc_IvIbAokGQkc-zGyVG-pn4BD8iUxf7jY0yApYzMuio5_pLhpLsW6uQG4M5UHBQnKDUVXuTvG23mkK3BWeAiMPU-gktXWk3xpntANfIQ0LbnTuvo7F07Vv26-wcIE4YMkF2Q2pWAbAVECmNzB3xBRxIppr11Sjs_j7wb-EDWYqAWiCcGBIWQF_Ex0jilA73oTQvIpxoyJOURhkTAyMym3KiCDpKAgeUThAhaeWTXm1d_-SOF7TsxYnCgmTGmbksmYJeqWIxJjNZ-r13_MWu_Uan2DQiGa2xPfGF8eUkMWB1mhW-EJFDrGOO4h3N8UktHdNmZJ7tl1RVAvulyTTB3S-WO3mxzUXv_Z1mtddKNAMkJAHMb2I5wGM5bbH1GjlY0oQx-jCB-iKTd8prTfaetg_xPmFbMKbvo1w1SbfXhum4zCUIOIQCs0SdSVXaisAHpz0nHcE0gziBWt_JCgo1uZeMcHjIne1NFJQEpxSw_76OFPXNJd_ucg_CbpsG5Mj4tEu_Lf6KyPAfcwJNlqG2KE1m85AkWZdK-mNMWQihhgWcUw-kiESt5aTtwBC7T5U1m3u2hm3LItJi1AA6GMqnsAU1T5gOcd9veYfbOG2G1KM266PjrLHqDGL4THZZE8iSU4qT-Kq_pOWGCd6cOfJGsf3esHtLrxd1yhZO1cAEZFUmlFyYxuFI4F3eFV1-4em4EIPk_M4op4qCchn21U9R6VDaJCJZHeBa3oQpJRKVuMznSKbToZiuc5-EFX-5REPdXoXEV4-i6hatnORzzcC6muZjeeN9fM2zB7DOC-RjCI4N8DFHs6uL4YyJRHE4lGfRWq0aHn_P8FZN4cRETld-o7_qJW8aTckpaL10EQBAdeYikkwbPZf9olhOpmXfPCejD9SauH9h4NxTUSW9j1cSBXF5NFEPORp7NDJMqs5rEvz-6rNRlLEEEkAKoabzgEg0kYz9ULxGx8BMpFl1mAqgVJZ7qDHJK_yNJhbRRw6E1VG_4rYohsMpJn2n4dwLtAHMSgE9XUCvTTdTk1lrVrFNKFbWjl8Y5eFKyJun_4GGUTnc05xDwNrO5kduyc-ffaC4HFJPLIPc_NsjYS4HMEjZXdrUjIhNubb0cDBzm5k42bFxJVZZ280VjyMvu_QgSv7UBjtWbqogeGAX9uR5Y22g9E-pDi1yJ58dMwOiWzOSEIWrT1kSHvTLnjOhGXXIxvaYNxzRrmyqrxQ60_8_tJgKWjq6VdR6j5FLfNHjKM_NotGVDH9gIDDqElyfdT8ZVsGED47G1jZ_n3kSx0AGGW12kf-B6wy2KiVF27aj0imuukSfITps7u3TJMpcdpAm7_2jlFl0lKn4TzBQwIGhn2C4lVO0N40lU0VxW9pVh6GzPv_kG1UdaU3sSkY7o5lqQrnH-wJeFLVJaCdXNJgcOM1k01cqkqRq8u5gHuPpitjhHPFR3Ezz9hciSXoEG93yHpL1AEE3PvIHlfFR5YDcZ4k573qADT4_V27FlKvzZq8PK5sjrjU_KgZYDKs9MPmdZjHqO-iZ7Wz2Znoz8d8GkFy3rumFkfo6xxZCZ9zl7ZOK0zdXLNVdmhRlb82bMs00xbbtBviCGFFZbEFJrb2ue3d1hyD7TnW-OgQqSplh-_B2iRjI-9gWMoBaMDggqURMG6iyDnGrVKNKZlqk1Dvw9h1giK2CchzPidUv8ck2VllclHkFp_r5QG-kMCZDLzyAUS9uUamnEU6cheU1el6domnd8fwAnLgBQ5nrMzg-6FfT1_Hx4qK3oEVLE251b9p7LXg8XHsmQPJ51jxdhgXORq0i02H13U6-B_KTojDgz6S5DlK-t1ibfc5Gu-JKzafF-9etJ4oz4a89TeA2GyiYDLDpsSp4mwoHx9RffkzO8dqTOIdK4u2sav2D-U1lB9gtSpJG5kVktAkpOZXPDOG6opxCRr_IZrZhYJEaLMsWXPfUOqRX50A60OjxZ7nUIHykJAhc-rehdS4d5heifKCNWv0WCB_ITnDd_2UOMcAQIPOJkYOC46OqXZKHKo_k0HF2BKsbuv_hKT5eC0gpgM41csxntKl3nShsay4yvc5a31X40jLpet5oVKyp9KIw7W8WXKx8BctJs4y7gmMqFCkvKXYANaSOgNKpnBbWiLRMgL1sPeaXhRfhVGnHuwjBRBFv-bttfTfjR6RKozMnvu1mMAdMIXtdmRdAChJAnwZ5x0cagTLxU-sD4WRVpT2i66jSPRjnLkw6Em0_VrZUKk0yDVSlDfNuP1Iwat_ngQ7gCLHX7xQPfhjoQvm0hogguxN7QA10HyGKr0gyBCc8DtEzU87BTtQCzxvvGIdUhQiH_jgc0bZuaLt-N-JzCMCj5dg5wrQEpgrvtSjCxnI30mgJQs0rQ-rjnBH5wW1TTInpzZepp8geOyrO6YFHXhb9VjzUqaOc_cxbpC4R1UctzRcbOMRWpFYI3FKUU5M9YxPD5Y9usYapKz5zv7j3bjBnoZlKmY006aR0X6QIyQE7xFeRZm3okBl6PnF651zyvw5zn6g68PFRdIhB8IbVJZStPag6xB2iKMhGGvf0Mx7l5y2EPTUOdzurugMd9O1SPG4-yT4v-_1sz6HDQRHb3aECg1CBWNqPJtruOR1DZ2oGWLrYGIDy6G506rPy27cX2eZXiR2hGd3S6e.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC02LWFzdHJhLTIwMjYwOTAzfG9wZW5haSJ9","format":"openai-responses-v1","id":"rs_0ef85bac351fffcc016a9bec01262087d1a69cdb1ad992651a","index":7}]},"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

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: 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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data: [DONE]

```python
import bpy
import math
import os
from mathutils import Vector

# A small, entirely modeled underwater portrait.
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)
for dat in bpy.data.materials:
    bpy.data.materials.remove(dat)

OUT = "/mnt/data"
os.makedirs(OUT, exist_ok=True)

def material(name, color, roughness=.35, metallic=0.0):
    m = bpy.data.materials.new(name)
    m.use_nodes = True
    p = m.node_tree.nodes.get("Principled BSDF")
    p.inputs["Base Color"].default_value = (*color, 1)
    p.inputs["Roughness"].default_value = roughness
    p.inputs["Metallic"].default_value = metallic
    return m

bodymat = material("Living tangerine • pearlescent skin", (1, .28, .016), .30, .10)
p = bodymat.node_tree.nodes.get("Principled BSDF")
p.inputs["Subsurface Weight"].default_value = .065
p.inputs["Subsurface Radius"].default_value = (1, .42, .18)
p.inputs["Coat Weight"].default_value = .27
p.inputs["Coat Roughness"].default_value = .23
vc = bodymat.node_tree.nodes.new("ShaderNodeVertexColor")
vc.layer_name = "Skin color"
bodymat.node_tree.links.new(vc.outputs["Color"], p.inputs["Base Color"])
noise = bodymat.node_tree.nodes.new("ShaderNodeTexNoise")
noise.inputs["Scale"].default_value = 115
noise.inputs["Detail"].default_value = 2
bump = bodymat.node_tree.nodes.new("ShaderNodeBump")
bump.inputs["Strength"].default_value = .13
bump.inputs["Distance"].default_value = .009
bodymat.node_tree.links.new(noise.outputs["Fac"], bump.inputs["Height"])
bodymat.node_tree.links.new(bump.outputs["Normal"], p.inputs["Normal"])

orange = material("Warm orange lips and fin shoulders", (1, .245, .012), .30, .08)
orange.node_tree.nodes.get("Principled BSDF").inputs["Subsurface Weight"].default_value = .055
gillmat = material("Operculum crease • deep amber", (.51, .085, .009), .4, .08)
gold = material("Eye rim • old gold", (.84, .36, .045), .24, .45)
iris = material("Honey amber iris", (.62, .22, .018), .23, .25)
black = material("Deep liquid pupils", (.006, .012, .013), .115, .08)
black.node_tree.nodes.get("Principled BSDF").inputs["Coat Weight"].default_value = .65
mouthmat = material("Inside the little mouth", (.145, .024, .009), .47)

finmats = []
for i in range(9):
    t = i / 8
    col = (1.0, .225 + .40 * t**1.35, .018 + .24 * t**2)
    m = material("Fin membrane %02d • translucent silk" % i, col, .32, .035)
    pr = m.node_tree.nodes.get("Principled BSDF")
    pr.inputs["Transmission Weight"].default_value = .08 + .29 * t
    pr.inputs["Subsurface Weight"].default_value = .045
    pr.inputs["Subsurface Radius"].default_value = (1, .5, .25)
    pr.inputs["Alpha"].default_value = 1 - .23 * t**1.5
    pr.inputs["Coat Weight"].default_value = .15
    if hasattr(m, "surface_render_method"):
        m.surface_render_method = 'DITHERED'
    m.diffuse_color = (*col, 1 - .23*t**1.5)
    finmats.append(m)
raymat = material("Fine amber fin rays", (1, .38, .045), .31, .16)
edgemat = material("Pale gold terminal filaments", (1, .64, .22), .36, .1)
scalemats = [
    material("Scale crescents • sunlit orange", (1, .365, .035), .34, .23),
    material("Scale crescents • dorsal copper", (.88, .205, .016), .35, .22),
    material("Scale crescents • belly gold", (1, .59, .16), .35, .18),
]

def mesh_object(name, verts, faces, mats, indices=None):
    me = bpy.data.meshes.new(name)
    me.from_pydata(verts, [], faces)
    me.materials.clear()
    for ma in mats:
        me.materials.append(ma)
    me.update()
    ob = bpy.data.objects.new(name, me)
    bpy.context.collection.objects.link(ob)
    for i, po in enumerate(me.polygons):
        po.use_smooth = True
        if indices is not None:
            po.material_index = indices[i]
    return ob

def sphere(name, loc, scale, mat, normal=None, segments=48):
    bpy.ops.mesh.primitive_uv_sphere_add(segments=segments, ring_count=32, location=loc)
    ob = bpy.context.object
    ob.name = name
    ob.scale = scale
    if normal is not None:
        ob.rotation_euler = Vector(normal).to_track_quat('Z', 'Y').to_euler()
    ob.data.materials.append(mat)
    for f in ob.data.polygons:
        f.use_smooth = True
    return ob

# Tubes are real meshes, including the very fine scale relief and fin rays.
def append_tube(verts, faces, points, radii, sides=7):
    start = len(verts)
    points = [Vector(p) for p in points]
    for j, pt in enumerate(points):
        tangent = points[min(j+1, len(points)-1)] - points[max(0, j-1)]
        if tangent.length < 1e-8:
            tangent = Vector((1, 0, 0))
        tangent.normalize()
        ref = Vector((0, 0, 1))
        if abs(tangent.dot(ref)) > .93:
            ref = Vector((0, 1, 0))
        a = tangent.cross(ref).normalized()
        b = tangent.cross(a).normalized()
        radius = radii[j] if hasattr(radii, "__len__") else radii
        for k in range(sides):
            angle = 2*math.pi*k/sides
            verts.append(tuple(pt + radius*(a*math.cos(angle)+b*math.sin(angle))))
    for j in range(len(points)-1):
        for k in range(sides):
            a = start+j*sides+k
            b = start+j*sides+(k+1)%sides
            faces.append((a,b,b+sides,a+sides))
    faces.append(tuple(start+k for k in reversed(range(sides))))
    last = start+(len(points)-1)*sides
    faces.append(tuple(last+k for k in range(sides)))

def tube(name, points, radii, mat, sides=8):
    v, f = [], []
    append_tube(v, f, points, radii, sides)
    return mesh_object(name, v, f, [mat])

profile = [
    (-1.88, .015), (-1.78, .32), (-1.57, .61), (-1.23, .82),
    (-.72, .965), (-.23, .935), (.24, .785), (.69, .54),
    (1.08, .325), (1.43, .188), (1.72, .145)
]

def radius(x):
    if x <= profile[0][0]:
        return profile[0][1]
    if x >= profile[-1][0]:
        return profile[-1][1]
    for j in range(len(profile)-1):
        x0,y0 = profile[j]
        x1,y1 = profile[j+1]
        if x0 <= x <= x1:
            t = (x-x0)/(x1-x0)
            jm = max(0,j-1)
            jp = min(len(profile)-1,j+2)
            m0 = (y1-profile[jm][1])/(x1-profile[jm][0])
            m1 = (profile[jp][1]-y0)/(profile[jp][0]-x0)
            h = x1-x0
            return ((2*t**3-3*t*t+1)*y0 + (t**3-2*t*t+t)*h*m0
                    +(-2*t**3+3*t*t)*y1 +(t**3-t*t)*h*m1)

def cy(x):
    return .22*math.sin((x+1.65)*1.65) - .045*x

def cz(x):
    return .045*math.sin((x+1.5)*1.3)

def surface(x, theta, offset=0):
    r = radius(x)
    return Vector((x, cy(x)+(.79*r+offset)*math.cos(theta),
                   cz(x)+(1.04*r+offset)*math.sin(theta)))

verts, faces, colors = [], [], []
NX, NT = 144, 96
for j in range(NX+1):
    x = -1.88+3.60*j/NX
    for k in range(NT):
        th = 2*math.pi*k/NT
        verts.append(tuple(surface(x,th)))
        h = math.sin(th)
        if h >= 0:
            t = h**1.2
            col = (1-.12*t, .31-.135*t, .018-.008*t)
        else:
            t = (-h)**2
            col = (1, .31+.31*t, .018+.17*t)
        glint = .018*math.sin(x*10+th*7)*math.sin(th*13-x*8)
        colors.append((col[0], max(.02,col[1]+glint), col[2], 1))
for j in range(NX):
    for k in range(NT):
        a = j*NT+k
        b = j*NT+(k+1)%NT
        faces.append((a,b,b+NT,a+NT))
faces.append(tuple(reversed(range(NT))))
faces.append(tuple(NX*NT+k for k in range(NT)))
body = mesh_object("GOLDFISH • rounded S-curved body", verts, faces, [bodymat])
attr = body.data.color_attributes.new(name="Skin color", type='FLOAT_COLOR', domain='POINT')
for i, c in enumerate(colors):
    attr.data[i].color = c

# Shallow, staggered crescents: restrained actual geometry rather than a flat decal.
sv, sf, si = [], [], []
for row in range(17):
    x = -1.02+row*.147
    r = radius(x)
    count = max(12, int(32*r/.96))
    step = 2*math.pi/count
    for k in range(count):
        th = (k+.5*(row%2))*step
        arc = []
        for q in range(13):
            a = -math.pi/2 + math.pi*q/12
            xx = x + (.079 if x < .6 else .059)*math.cos(a)
            tt = th + .49*step*math.sin(a)
            arc.append(surface(xx, tt, .006))
        first = len(sf)
        radii = [.0022+.0015*math.sin(math.pi*q/12) for q in range(13)]
        append_tube(sv, sf, arc, radii, 5)
        mid = 1 if math.sin(th) > .52 else (2 if math.sin(th)<-.55 else 0)
        si.extend([mid]*(len(sf)-first))
mesh_object("Hundreds of delicate overlapping scale crescents", sv, sf, scalemats, si)

# Softly sculpted snout and a genuinely open, puckered little mouth.
sphere("Rounded upper snout", (-1.765, cy(-1.765), -.035),
       (.16, .255, .225), orange)
sphere("Mouth opening", (-1.912, cy(-1.85), -.09),
       (.021, .12, .070), mouthmat)
lip_points = []
for j in range(65):
    a = 2*math.pi*j/64
    lip_points.append((-1.929-.007*math.cos(a),
                       cy(-1.85)+.139*math.cos(a), -.09+.085*math.sin(a)))
tube("Soft oval lips", lip_points, .022, orange, 10)

# Both eyes are built, with a separate metallic iris and polished domed pupil.
for sign, label in [(-1, "near"), (1, "far")]:
    x = -1.355
    z = .305
    r = radius(x)
    yy = math.sqrt(max(0,1-((z-cz(x))/(1.04*r))**2))*.79*r
    pos = Vector((x, cy(x)+sign*yy, z))
    normal = Vector((-.38, sign*.91, .18)).normalized()
    sphere(label+" eye • gold socket", pos+normal*.040,
           (.239,.239,.135), gold, normal)
    sphere(label+" eye • amber iris", pos+normal*.151,
           (.184,.184,.055), iris, normal)
    sphere(label+" eye • dark limbal outline", pos+normal*.182,
           (.143,.143,.045), black, normal)
    sphere(label+" eye • living black pupil", pos+normal*.213,
           (.115,.115,.046), black, normal)

    # The gill cover wraps over the flank, rather than being a drawn flat line.
    pts = []
    for j in range(37):
        t = j/36
        gx = -1.105+.32*math.sin(math.pi*t)
        gz = .64-1.23*t
        gr = radius(gx)
        gy = .79*gr*math.sqrt(max(.02,1-((gz-cz(gx))/(1.04*gr))**2))
        pts.append((gx,cy(gx)+sign*(gy+.012),gz))
    tube(label+" curved gill-cover crease", pts,
         [.006+.006*math.sin(math.pi*j/36) for j in range(37)], gillmat)
    pts2 = [(x+.029,y+sign*.004,z) for x,y,z in pts]
    tube(label+" raised operculum edge", pts2, .009, orange)

# All fins are rippled surfaces with progressive edge translucency and mesh rays.
def make_fin(name, fn, nu=32, nv=48, rays=25, ray_width=.008, edge=True):
    v, f, ids = [], [], []
    for i in range(nu+1):
        u = i/nu
        for j in range(nv+1):
            v.append(tuple(fn(u,j/nv)))
    for i in range(nu):
        for j in range(nv):
            a = i*(nv+1)+j
            f.append((a,a+1,a+nv+2,a+nv+1))
            ids.append(min(8,int(9*((i+.5)/nu))))
    ob = mesh_object(name+" • flowing membrane", v, f, finmats, ids)
    rv, rf = [], []
    for j in range(rays):
        t = j/(rays-1)
        points = [fn(.018+.972*k/31,t) for k in range(32)]
        widths = [ray_width*(1-(.018+.972*k/31))**.65+.0014 for k in range(32)]
        append_tube(rv,rf,points,widths,6)
    mesh_object(name+" • fine supporting rays",rv,rf,[raymat])
    if edge:
        pts = [fn(1,j/100) for j in range(101)]
        tube(name+" • gossamer trailing rim",pts,.004,edgemat,6)
    return ob

for sign,label in [(1,"Far veil"),(-1,"Near veil")]:
    def tail(u,t,sign=sign):
        v = 2*t-1
        av = abs(v)
        endx = 2.63+1.06*math.sin(math.pi*av*.87)
        endx += .028*math.cos(v*math.pi*10)
        endz = 1.52*v+.07*math.sin(2*math.pi*v)
        rootx = 1.48+.13*av
        x = rootx+(endx-rootx)*u
        z = .11*v*(1-u)+endz*u
        z += .13*v*math.sin(math.pi*u)
        y = cy(x)+sign*(.055+.43*u**1.45)
        y += .13*math.sin(math.pi*u)*v
        y += .07*u*u*math.sin(3*math.pi*v+2.2*u)
        return Vector((x,y,z))
    make_fin(label+" • bifurcated fantail",tail,40,72,37,.009)

def dorsal(u,t):
    rootx = -.94+2.35*t
    x = rootx+.30*u*math.sin(math.pi*t*.85)
    base = cz(rootx)+1.04*radius(rootx)-.022
    height = 1.01*math.sin(math.pi*t)**.70
    height += .020*math.sin(t*math.pi*16)*math.sin(math.pi*t)
    z = base+u*height
    y = cy(x)+.085*u*math.sin(2*math.pi*t)
    y += .035*u*u*math.sin(14*math.pi*t)
    return Vector((x,y,z))
make_fin("High swept dorsal", dorsal, 30, 64, 29, .0075)

def catmull(points,t):
    n = len(points)-1
    f = min(t*n,n-1e-8)
    j = int(f)
    q = f-j
    a = Vector(points[max(0,j-1)])
    b = Vector(points[j])
    c = Vector(points[min(n,j+1)])
    d = Vector(points[min(n,j+2)])
    return .5*((2*b)+(-a+c)*q+(2*a-5*b+4*c-d)*q*q+(-a+3*b-3*c+d)*q*q*q)

def fan(name, root, boundary, ripple=.035, raycount=18, width=.007):
    root = Vector(root)
    def fn(u,t):
        end = catmull(boundary,t)
        point = root.lerp(end,u)
        point.x += .11*math.sin(math.pi*u)*math.sin(math.pi*t)
        point.y += ripple*u*u*math.sin(t*math.pi*12+1.5*u)
        point.z += .07*math.sin(math.pi*u)*math.sin(math.pi*t)
        return point
    return make_fin(name,fn,28,48,raycount,width)

for sign,label in [(1,"Far"),(-1,"Near")]:
    fan(label+" broad pectoral fin",
        (-.79,cy(-.79)+sign*.65,-.23),
        [(-.57,sign*.96,-.44),
         (-.20,sign*1.32,-.91),
         (.28,sign*1.38,-1.12),
         (.78,sign*1.04,-.91),
         (.86,sign*.72,-.57)],
        .035,20,.0075)
    fan(label+" pelvic fin",
        (.12,cy(.12)+sign*.43,-.66),
        [(.27,sign*.57,-.79),
         (.55,sign*.78,-1.17),
         (.91,sign*.73,-1.34),
         (1.15,sign*.49,-1.09),
         (1.03,sign*.32,-.68)],
        .027,15,.006)

fan("Trailing anal fin",
    (.83,cy(.83),-.44),
    [(1.04,cy(1.04),-.51),
     (1.39,cy(1.39)-.05,-.88),
     (1.78,cy(1.78)-.08,-1.03),
     (1.89,cy(1.89),-.72),
     (1.57,cy(1.57),-.30)],
    .027,16,.006)

# Quiet turquoise environment; no tank, ornaments, or competing animal.
floor = material("Deep turquoise water backdrop", (.018,.115,.135), .82)
pn = floor.node_tree.nodes.get("Principled BSDF")
tex = floor.node_tree.nodes.new("ShaderNodeTexNoise")
tex.inputs["Scale"].default_value = .16
tex.inputs["Detail"].default_value = 1.3
ramp = floor.node_tree.nodes.new("ShaderNodeValToRGB")
ramp.color_ramp.elements[0].position = .17
ramp.color_ramp.elements[0].color = (.009,.065,.087,1)
ramp.color_ramp.elements[1].position = .83
ramp.color_ramp.elements[1].color = (.037,.20,.213,1)
floor.node_tree.links.new(tex.outputs["Fac"],ramp.inputs[0])
floor.node_tree.links.new(ramp.outputs["Color"],pn.inputs["Base Color"])
bpy.ops.mesh.primitive_plane_add(size=200,location=(0,0,-3.05))
bpy.context.object.name = "Endless calm teal water"
bpy.context.object.data.materials.append(floor)

# A few tiny peripheral air pearls quietly establish the aquatic setting.
bubble = material("Clear water pearls", (.72,.94,.96), .09)
bp = bubble.node_tree.nodes.get("Principled BSDF")
bp.inputs["Transmission Weight"].default_value = 1
bp.inputs["IOR"].default_value = 1.333
bp.inputs["Coat Weight"].default_value = .3
for i,(x,y,z,r) in enumerate([
    (-2.52,.55,.68,.058),(-2.66,.78,1.26,.083),(-2.58,.93,1.91,.042),
    (3.68,.85,1.86,.065),(3.89,1.10,2.30,.036)
]):
    sphere("Quiet rising air pearl %02d"%i,(x,y,z),(r,r,r),bubble,segments=32)

world = bpy.data.worlds.new("Underwater blue ambience")
bpy.context.scene.world = world
world.use_nodes = True
world.node_tree.nodes["Background"].inputs["Color"].default_value = (.085,.22,.27,1)
world.node_tree.nodes["Background"].inputs["Strength"].default_value = .36

def area(name,location,energy,color,size,target,size_y=None):
    data = bpy.data.lights.new(name,'AREA')
    data.energy = energy
    data.color = color
    if size_y is None:
        data.shape = 'DISK'
        data.size = size
    else:
        data.shape = 'RECTANGLE'
        data.size = size
        data.size_y = size_y
    ob = bpy.data.objects.new(name,data)
    bpy.context.collection.objects.link(ob)
    ob.location = location
    ob.rotation_euler = (Vector(target)-ob.location).to_track_quat('-Z','Y').to_euler()
    return ob

area("Broad warm daylight through the surface",(-3.8,-4.4,6.5),850,(1,.88,.72),4.6,(0,0,0))
area("Cool soft open-water fill",(-.5,-5,1),300,(.69,.88,1),4.0,(0,0,0))
area("Light through the translucent tail",(3.3,3.3,4.3),1050,(.72,.94,1),3.7,(1.3,0,.2))
area("Long eye catchlight",(-4.2,-2.2,2.3),180,(1,.95,.84),2.4,(-1,0,.1),.75)

bpy.ops.object.camera_add(location=(-4.35,-10.7,3.25))
camera = bpy.context.object
camera.name = "Portrait • the little gold swimmer"
target = Vector((.72,0,.20))
camera.rotation_euler = (target-camera.location).to_track_quat('-Z','Y').to_euler()
camera.data.type = 'ORTHO'
camera.data.ortho_scale = 7.55
camera.data.lens = 55
scene = bpy.context.scene
scene.camera = camera

scene.render.engine = 'CYCLES'
scene.cycles.samples = 64
scene.cycles.use_denoising = True
scene.render.resolution_x = 1536
scene.render.resolution_y = 1536
scene.render.resolution_percentage = 100
scene.render.image_settings.file_format = 'PNG'
scene.render.film_transparent = False
scene.render.filepath = os.path.join(OUT,"goldfish.png")
scene.view_settings.view_transform = 'AgX'
try:
    scene.view_settings.look = 'AgX - Medium High Contrast'
except Exception:
    pass
scene.view_settings.exposure = .35
scene.render.image_settings.color_mode = 'RGBA'
scene.camera.data.dof.use_dof = False
scene.world.color = (.035,.12,.16)

# Set a useful initial solid/material inspection state in addition to the camera.
for screen in bpy.data.screens:
    for ar in screen.areas:
        if ar.type == 'VIEW_3D':
            ar.spaces.active.region_3d.view_distance = 9
            ar.spaces.active.region_3d.view_location = Vector((.7,0,0))
            ar.spaces.active.clip_end = 300
            ar.spaces.active.shading.color_type = 'MATERIAL'

bpy.ops.wm.save_as_mainfile(filepath=os.path.join(OUT,"scene.blend"))

# A modest Cycles preview is saved as well; the complete scene retains final settings.
scene.render.resolution_x = 512
scene.render.resolution_y = 512
scene.cycles.samples = 24
scene.render.filepath = os.path.join(OUT,"preview.png")
bpy.ops.render.render(write_still=True)
scene.render.resolution_x = 1536
scene.render.resolution_y = 1536
scene.cycles.samples = 64
scene.render.filepath = os.path.join(OUT,"goldfish.png")
bpy.ops.wm.save_as_mainfile(filepath=os.path.join(OUT,"scene.blend"))
```