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  "aboutHtml": "<h4>Vaizdas pagal išsamią užduotį</h4><p>GPT Image 1.5 — OpenAI modelis vaizdams kurti pagal tekstinį aprašymą. Gamintojas išskiria nurodymų laikymąsi ir išsamios užduoties apdorojimą: joje galima nustatyti scenos turinį, kompoziciją, objektų išvaizdą ir reikiamą stilių. Vaizdų metodo rezultatas — paruoštas vaizdas.</p><p>Ailoot ši kortelė skirta generavimui su tekstine įvestimi. OpenAI taip pat aprašo modelio darbą su pradiniais vaizdais, redagavimą ir atskirų sričių keitimą. Šioms galimybėms reikia atskiro vaizdinės įvesties palaikymo, jos neįtrauktos į čia nurodytą tekstinį generavimo būdą.</p><p>Atskirai OpenAI numatytoje redagavimo operacijoje kaukė yra orientyras: tikslus rezultato sutapimas su jos kontūrais negarantuojamas. Tokiai operacijai reikia pradinio vaizdo perdavimo palaikymo; dabartinė Ailoot kortelė ir toliau skirta generavimui su tekstine įvestimi.</p><h4>Trys kadro formatai ir kokybės nustatymas</h4><p>Numatyti kvadratinis dydis <code>1024x1024</code>, horizontalus <code>1536x1024</code> ir vertikalus <code>1024x1536</code>, taip pat automatinis pasirinkimas. Šiai versijai nereikėtų perkelti kitų modelių savavališkai pasirenkamų dydžių.</p><p>Kokybės lygiai — <code>low</code>, <code>medium</code>, <code>high</code> ir <code>auto</code>. Kokybės pasirinkimas veikia apdorojimo apimtį ir rezultato detalumą. Kokybė ir dydis yra skirtingi nustatymai: kadro orientacija nustato kompozicijos erdvę, o kokybės lygis — jos formavimo režimą. Lygiai <code>xhigh</code> ir <code>max</code> GPT Image 1.5 modeliui nenurodyti.</p><h4>Failo formatas ir fonas</h4><p>Pagal numatymą rezultatas kuriamas PNG formatu; taip pat numatyti JPEG ir WebP. JPEG ir WebP galima nustatyti suspaudimo laipsnį. Tai rezultato failo nustatymas, kuris skiriasi nuo generavimo kokybės.</p><p>Gamintojas numato skaidrų ir neskaidrų foną, taip pat automatinį pasirinkimą. Skaidrumui reikia PNG arba WebP: JPEG neišsaugo alfa kanalo. Skaidrus fonas patogus, kai vaizdas tolesnėje kompozicijoje naudojamas kaip atskiras objektas. Konkrečių parametrų palaikymą reikia vertinti pagal pasirinktą metodą.</p><h4>Tekstą ir kompoziciją reikia tikrinti</h4><p>Modelis gali įtraukti užrašus į vaizdą ir sudaryti sceną iš kelių elementų, tačiau tikslus teksto ir objektų išdėstymas negarantuojamas. To paties veikėjo išvaizdos arba dizaino pasikartojimą atskirose generacijose taip pat reikia kontroliuoti.</p><p>Sudėtingas vaizdas gali būti formuojamas ilgiau nei paprastas; OpenAI duomenimis, atskiros sudėtingos užduotys gali trukti iki dviejų minučių. Rezultatui svarbūs ir pradinio aprašymo išsamumas, ir paruošto vaizdo patikra: užrašų įskaitomumas, detalių padėtis ir atitiktis nurodytai scenai vertinami pagal patį failą.</p>",
  "aboutText": "### Vaizdas pagal išsamią užduotį\n\nGPT Image 1.5 — OpenAI modelis vaizdams kurti pagal tekstinį aprašymą. Gamintojas išskiria nurodymų laikymąsi ir išsamios užduoties apdorojimą: joje galima nustatyti scenos turinį, kompoziciją, objektų išvaizdą ir reikiamą stilių. Vaizdų metodo rezultatas — paruoštas vaizdas.\n\nAiloot ši kortelė skirta generavimui su tekstine įvestimi. OpenAI taip pat aprašo modelio darbą su pradiniais vaizdais, redagavimą ir atskirų sričių keitimą. Šioms galimybėms reikia atskiro vaizdinės įvesties palaikymo, jos neįtrauktos į čia nurodytą tekstinį generavimo būdą.\n\nAtskirai OpenAI numatytoje redagavimo operacijoje kaukė yra orientyras: tikslus rezultato sutapimas su jos kontūrais negarantuojamas. Tokiai operacijai reikia pradinio vaizdo perdavimo palaikymo; dabartinė Ailoot kortelė ir toliau skirta generavimui su tekstine įvestimi.\n\n### Trys kadro formatai ir kokybės nustatymas\n\nNumatyti kvadratinis dydis `1024x1024`, horizontalus `1536x1024` ir vertikalus `1024x1536`, taip pat automatinis pasirinkimas. Šiai versijai nereikėtų perkelti kitų modelių savavališkai pasirenkamų dydžių.\n\nKokybės lygiai — `low`, `medium`, `high` ir `auto`. Kokybės pasirinkimas veikia apdorojimo apimtį ir rezultato detalumą. Kokybė ir dydis yra skirtingi nustatymai: kadro orientacija nustato kompozicijos erdvę, o kokybės lygis — jos formavimo režimą. Lygiai `xhigh` ir `max` GPT Image 1.5 modeliui nenurodyti.\n\n### Failo formatas ir fonas\n\nPagal numatymą rezultatas kuriamas PNG formatu; taip pat numatyti JPEG ir WebP. JPEG ir WebP galima nustatyti suspaudimo laipsnį. Tai rezultato failo nustatymas, kuris skiriasi nuo generavimo kokybės.\n\nGamintojas numato skaidrų ir neskaidrų foną, taip pat automatinį pasirinkimą. Skaidrumui reikia PNG arba WebP: JPEG neišsaugo alfa kanalo. Skaidrus fonas patogus, kai vaizdas tolesnėje kompozicijoje naudojamas kaip atskiras objektas. Konkrečių parametrų palaikymą reikia vertinti pagal pasirinktą metodą.\n\n### Tekstą ir kompoziciją reikia tikrinti\n\nModelis gali įtraukti užrašus į vaizdą ir sudaryti sceną iš kelių elementų, tačiau tikslus teksto ir objektų išdėstymas negarantuojamas. To paties veikėjo išvaizdos arba dizaino pasikartojimą atskirose generacijose taip pat reikia kontroliuoti.\n\nSudėtingas vaizdas gali būti formuojamas ilgiau nei paprastas; OpenAI duomenimis, atskiros sudėtingos užduotys gali trukti iki dviejų minučių. Rezultatui svarbūs ir pradinio aprašymo išsamumas, ir paruošto vaizdo patikra: užrašų įskaitomumas, detalių padėtis ir atitiktis nurodytai scenai vertinami pagal patį failą.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">O</span><h2 id=\"sheet-title\">GPT Image 1.5</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Uždaryti\">×</button></div><div class=\"idline\"><span>OpenAI /</span><code>gpt-image-1.5</code><button type=\"button\" id=\"copy-id\">Kopijuoti ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Modelio kortelės skyriai\"><button type=\"button\" data-card-jump=\"overview\">Pradžia</button><button type=\"button\" data-card-jump=\"methods\">Įvestys ir metodai</button><button type=\"button\" data-card-jump=\"pricing\">Planai</button><button type=\"button\" data-card-jump=\"examples\">Pavyzdžiai</button><button type=\"button\" data-card-jump=\"results\">Rezultatai</button><button type=\"button\" data-card-jump=\"aliases\">Pseudonimai</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API metodai\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Core|images|/v1/images/generations|gpt-image-1.5\">Vaizdai</button><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-1\" data-card-method=\"Ultra|images|/v1/images/generations|gpt-image-1.5\">Vaizdai · Ultra</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Pradžia</h3><p class=\"mdesc-full\">GPT Image 1.5 kuria vaizdus pagal tekstinę užduotį, daug dėmesio skirdama išsamių nurodymų laikymuisi. Numatyti trys kadro formatai, keli kokybės lygiai ir rezultato failų formatai.</p><dl class=\"card-io\" data-card-io><div><dt>Leidžiamos įvestys</dt><dd>Tekstas</dd></div><div><dt>Rezultatai</dt><dd>Vaizdai</dd></div></dl><details class=\"card-about\"><summary>Apie modelį</summary><p class=\"note-s\" data-model-method-boundary>Šis aprašas apima modelio galimybes. Pasirinktam metodui Ailoot prieinamos įvestys, išvestys ir parinktys nurodytos toliau.</p><div class=\"mabout\" id=\"m-about\"><h4>Vaizdas pagal išsamią užduotį</h4><p>GPT Image 1.5 — OpenAI modelis vaizdams kurti pagal tekstinį aprašymą. Gamintojas išskiria nurodymų laikymąsi ir išsamios užduoties apdorojimą: joje galima nustatyti scenos turinį, kompoziciją, objektų išvaizdą ir reikiamą stilių. Vaizdų metodo rezultatas — paruoštas vaizdas.</p><p>Ailoot ši kortelė skirta generavimui su tekstine įvestimi. OpenAI taip pat aprašo modelio darbą su pradiniais vaizdais, redagavimą ir atskirų sričių keitimą. Šioms galimybėms reikia atskiro vaizdinės įvesties palaikymo, jos neįtrauktos į čia nurodytą tekstinį generavimo būdą.</p><p>Atskirai OpenAI numatytoje redagavimo operacijoje kaukė yra orientyras: tikslus rezultato sutapimas su jos kontūrais negarantuojamas. Tokiai operacijai reikia pradinio vaizdo perdavimo palaikymo; dabartinė Ailoot kortelė ir toliau skirta generavimui su tekstine įvestimi.</p><h4>Trys kadro formatai ir kokybės nustatymas</h4><p>Numatyti kvadratinis dydis <code>1024x1024</code>, horizontalus <code>1536x1024</code> ir vertikalus <code>1024x1536</code>, taip pat automatinis pasirinkimas. Šiai versijai nereikėtų perkelti kitų modelių savavališkai pasirenkamų dydžių.</p><p>Kokybės lygiai — <code>low</code>, <code>medium</code>, <code>high</code> ir <code>auto</code>. Kokybės pasirinkimas veikia apdorojimo apimtį ir rezultato detalumą. Kokybė ir dydis yra skirtingi nustatymai: kadro orientacija nustato kompozicijos erdvę, o kokybės lygis — jos formavimo režimą. Lygiai <code>xhigh</code> ir <code>max</code> GPT Image 1.5 modeliui nenurodyti.</p><h4>Failo formatas ir fonas</h4><p>Pagal numatymą rezultatas kuriamas PNG formatu; taip pat numatyti JPEG ir WebP. JPEG ir WebP galima nustatyti suspaudimo laipsnį. Tai rezultato failo nustatymas, kuris skiriasi nuo generavimo kokybės.</p><p>Gamintojas numato skaidrų ir neskaidrų foną, taip pat automatinį pasirinkimą. Skaidrumui reikia PNG arba WebP: JPEG neišsaugo alfa kanalo. Skaidrus fonas patogus, kai vaizdas tolesnėje kompozicijoje naudojamas kaip atskiras objektas. Konkrečių parametrų palaikymą reikia vertinti pagal pasirinktą metodą.</p><h4>Tekstą ir kompoziciją reikia tikrinti</h4><p>Modelis gali įtraukti užrašus į vaizdą ir sudaryti sceną iš kelių elementų, tačiau tikslus teksto ir objektų išdėstymas negarantuojamas. To paties veikėjo išvaizdos arba dizaino pasikartojimą atskirose generacijose taip pat reikia kontroliuoti.</p><p>Sudėtingas vaizdas gali būti formuojamas ilgiau nei paprastas; OpenAI duomenimis, atskiros sudėtingos užduotys gali trukti iki dviejų minučių. Rezultatui svarbūs ir pradinio aprašymo išsamumas, ir paruošto vaizdo patikra: užrašų įskaitomumas, detalių padėtis ir atitiktis nurodytai scenai vertinami pagal patį failą.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Prieinama Ailoot · įvestys ir metodai</h3><details class=\"card-method\" open><summary><b>Ailoot · Vaizdai</b> <code>POST /v1/images/generations</code></summary><dl class=\"method-capabilities\"><div><dt>Įvestis</dt><dd><code>text</code></dd></div><div><dt>Išvestis</dt><dd><code>image</code></dd></div><div><dt>Išvesties formatas</dt><dd>Vaizdo failas</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Laukas</th><th>Tipas</th><th>Reikalavimas</th><th>Reikšmės ir ribos</th><th>Numatyta</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Privaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>gpt-image-1.5</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">prompt</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Privaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>Mažiausias ilgis: 1</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>integer</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>Mažiausia reikšmė: 1</div></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>1</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">response_format</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>url, b64_json</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>boolean</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>false</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">size</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div class=\"note-s\">Priklauso nuo modelio</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">quality</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div class=\"note-s\">Priklauso nuo modelio</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">background</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span 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class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div class=\"note-s\">Priklauso nuo modelio</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">input_fidelity</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div class=\"note-s\">Priklauso nuo modelio</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">style</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div class=\"note-s\">Priklauso nuo modelio</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">partial_images</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>integer</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div class=\"note-s\">Priklauso nuo modelio</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Įvesties medžiagos deriniai</summary><p class=\"note-s\"><b>Iš teksto į vaizdą</b> · Privaloma: prompt</p></details><details class=\"note-s\" data-method-contract><summary>Metodo parametrai ir gyvavimo ciklas</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametras</th><th>Specifikacija</th></tr></thead><tbody><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>material_types</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>text</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>required</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>model, prompt</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>optional_controls</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>null</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>content_type</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>application/json</td></tr></tbody></table></div><p>Gyvavimo ciklas: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · faktiškai grąžinta task_id reikšmė arba medijos bibliotekos įrašas</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p><p class=\"note-s\">Metodų struktūros ir ID yra tikslūs; tiekėjo galimybės yra atskirtos nuo užklausos priėmimo.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Planai</h3><h4>Ailoot metodų įkainiai</h4><section class=\"meth\" data-route=\"Core\"><header><b><span class=\"alias\">Ailoot</span> Vaizdai</b><code>POST /v1/images/generations</code></header><dl><div><dt>Tekstinė įvestis</dt><dd>0,005 USD <em>/ 1K</em></dd></div><div><dt>Tekstinė išvestis</dt><dd>0,01 USD <em>/ 1K</em></dd></div><div><dt>Įvestis, vaizdas</dt><dd>0,008 USD <em>/ 1K tokens</em></dd></div><div><dt>Išvestis, vaizdas</dt><dd>0,032 USD <em>/ 1K tokens</em></dd></div></dl></section><p class=\"note-s\">Ailoot prieš užklausą rezervuoja numatomą sumą. Gavus rezultatą, galutinis mokestis nuskaitomas pagal išmatuotą naudojimą. Srautinio atsakymo atsiskaitymui naudojamas galutinis naudojimo įrašas. <a href=\"/docs/lt/billing/reserve/\">Kaip veikia rezervavimas ir atsiskaitymas →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Užklausų pavyzdžiai</h3><h4>Ailoot · Vaizdai</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kodo variantai\"><button class=\"cg-tab\" id=\"model-code-639-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-639-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button><button class=\"cg-tab\" id=\"model-code-639-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-639-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Python SDK</button><button class=\"cg-tab\" id=\"model-code-639-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-639-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Node.js SDK</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kopijuoti kodą\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-639-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-639-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\nexport AILOOT_API_KEY\n: &quot;${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}&quot;\nexport AILOOT_PROMPT_FILE\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;gpt-image-1.5&quot;, &quot;prompt&quot;: &quot;&quot;}&#39;)\nf=Path(os.environ[&quot;AILOOT_PROMPT_FILE&quot;])\nif not f.is_file():raise SystemExit(&quot;Choose your actual UTF-8 brief&quot;)\np[&#39;prompt&#39;]=f.read_text(encoding=&quot;utf-8&quot;)\nif not p[&#39;prompt&#39;].strip():raise SystemExit(&quot;Brief must contain text&quot;)\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(&quot;No completed images; retain the full response&quot;)\n    for index, item in enumerate(items):\n        encoded=item.get(&quot;b64_json&quot;)\n        uri=item.get(&quot;url&quot;, &quot;&quot;)\n        if not encoded and uri.startswith(&quot;data:image/&quot;):\n            header, separator, encoded=uri.partition(&quot;,&quot;)\n            if not separator or &quot;;base64&quot; not in header: raise SystemExit(&quot;Unsupported image data URI&quot;)\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(&quot;https://api.ailoot.ai&quot;,uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=&quot;https&quot; or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(&quot;Invalid returned image URL&quot;)\n            owned=parsed.netloc==&quot;api.ailoot.ai&quot; and parsed.path.startswith(&quot;/v1/media/assets/&quot;) and parsed.path.endswith(&quot;/content&quot;)\n            args=[&quot;curl&quot;,&quot;--fail-with-body&quot;,&quot;--silent&quot;,&quot;--show-error&quot;,uri]\n            if owned: args += [&quot;-H&quot;,&quot;Authorization: Bearer &quot;+os.environ[&quot;AILOOT_API_KEY&quot;]]\n            temporary=Path(f&quot;image-{index}.bin&quot;)\n            subprocess.run(args+[&quot;-o&quot;,str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(&quot;Image has neither bytes nor URL&quot;)\n        if not raw: raise SystemExit(&quot;Empty image result&quot;)\n        ext=&quot;png&quot; if raw.startswith(b&quot;\\x89PNG&quot;) else &quot;jpg&quot; if raw.startswith(b&quot;\\xff\\xd8&quot;) else &quot;webp&quot; if raw[:4]==b&quot;RIFF&quot; and raw[8:12]==b&quot;WEBP&quot; else &quot;svg&quot; if raw.lstrip().startswith((b&quot;&lt;svg&quot;,b&quot;&lt;?xml&quot;)) else &quot;bin&quot;\n        Path(f&quot;image-{index}.{ext}&quot;).write_bytes(raw)\n    print(&quot;Every returned image saved; complete response metadata retained&quot;)\nsave_images(json.loads(Path(&quot;result.json&quot;).read_text())[&quot;data&quot;])\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-639-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-639-tab-1\" hidden><pre data-lang=\"python\"><code>from openai import OpenAI\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(&quot;No completed images; retain the full response&quot;)\n    for index, item in enumerate(items):\n        encoded=item.get(&quot;b64_json&quot;)\n        uri=item.get(&quot;url&quot;, &quot;&quot;)\n        if not encoded and uri.startswith(&quot;data:image/&quot;):\n            header, separator, encoded=uri.partition(&quot;,&quot;)\n            if not separator or &quot;;base64&quot; not in header: raise SystemExit(&quot;Unsupported image data URI&quot;)\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(&quot;https://api.ailoot.ai&quot;,uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=&quot;https&quot; or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(&quot;Invalid returned image URL&quot;)\n            owned=parsed.netloc==&quot;api.ailoot.ai&quot; and parsed.path.startswith(&quot;/v1/media/assets/&quot;) and parsed.path.endswith(&quot;/content&quot;)\n            args=[&quot;curl&quot;,&quot;--fail-with-body&quot;,&quot;--silent&quot;,&quot;--show-error&quot;,uri]\n            if owned: args += [&quot;-H&quot;,&quot;Authorization: Bearer &quot;+os.environ[&quot;AILOOT_API_KEY&quot;]]\n            temporary=Path(f&quot;image-{index}.bin&quot;)\n            subprocess.run(args+[&quot;-o&quot;,str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(&quot;Image has neither bytes nor URL&quot;)\n        if not raw: raise SystemExit(&quot;Empty image result&quot;)\n        ext=&quot;png&quot; if raw.startswith(b&quot;\\x89PNG&quot;) else &quot;jpg&quot; if raw.startswith(b&quot;\\xff\\xd8&quot;) else &quot;webp&quot; if raw[:4]==b&quot;RIFF&quot; and raw[8:12]==b&quot;WEBP&quot; else &quot;svg&quot; if raw.lstrip().startswith((b&quot;&lt;svg&quot;,b&quot;&lt;?xml&quot;)) else &quot;bin&quot;\n        Path(f&quot;image-{index}.{ext}&quot;).write_bytes(raw)\n    print(&quot;Every returned image saved; complete response metadata retained&quot;)\n\nf=Path(os.environ[&quot;AILOOT_PROMPT_FILE&quot;])\nif not f.is_file():raise SystemExit(&quot;Set your actual UTF-8 image brief file&quot;)\nrequest={&#39;model&#39;: &#39;gpt-image-1.5&#39;, &#39;prompt&#39;: &#39;&#39;}\nrequest[&quot;prompt&quot;]=f.read_text(encoding=&quot;utf-8&quot;)\nclient=OpenAI(base_url=&quot;https://api.ailoot.ai/v1&quot;,api_key=os.environ[&quot;AILOOT_API_KEY&quot;],max_retries=0)\nresult=client.images.generate(**request)\nPath(&quot;sdk-result.txt&quot;).write_text(str(result),encoding=&quot;utf-8&quot;)\nsave_images([{&quot;b64_json&quot;:getattr(item,&quot;b64_json&quot;,None),&quot;url&quot;:getattr(item,&quot;url&quot;,None)} for item in result.data])\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-639-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-639-tab-2\" hidden><pre data-lang=\"js\"><code>import OpenAI from &quot;openai&quot;;\nimport { readFileSync, writeFileSync } from &quot;node:fs&quot;;\nconst key=process.env.AILOOT_API_KEY;\nif(!key) throw new Error(&quot;Set your actual Ailoot API key&quot;);\nconst client=new OpenAI({baseURL:&quot;https://api.ailoot.ai/v1&quot;,apiKey:key,maxRetries:0});\nconst request={&quot;model&quot;: &quot;gpt-image-1.5&quot;, &quot;prompt&quot;: &quot;&quot;};\nif(!process.env.AILOOT_PROMPT_FILE)throw new Error(&quot;Set your actual UTF-8 image brief file&quot;);\nrequest.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,&quot;utf8&quot;);\nconst result=await client.images.generate(request);\nwriteFileSync(&quot;sdk-result.json&quot;,JSON.stringify(result,null,2));\nif(!result.data?.length) throw new Error(&quot;No completed images&quot;);\nfor(let index=0;index&lt;result.data.length;index++) {\n  const item=result.data[index];let encoded=item.b64_json,uri=item.url||&quot;&quot;,raw;\n  if(!encoded &amp;&amp; uri.startsWith(&quot;data:image/&quot;)) {\n    const comma=uri.indexOf(&quot;,&quot;);if(comma&lt;0 || !uri.slice(0,comma).includes(&quot;;base64&quot;)) throw new Error(&quot;Unsupported image data URI&quot;);\n    encoded=uri.slice(comma+1);\n  }\n  if(encoded) {\n    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error(&quot;Invalid Base64&quot;);\n    raw=Buffer.from(encoded,&quot;base64&quot;);\n  } else if(uri) {\n    const u=new URL(uri,&quot;https://api.ailoot.ai&quot;);\n    if(u.protocol!==&quot;https:&quot; || u.username || u.password) throw new Error(&quot;Invalid returned URL&quot;);\n    const owned=u.origin===&quot;https://api.ailoot.ai&quot; &amp;&amp; u.pathname.startsWith(&quot;/v1/media/assets/&quot;) &amp;&amp; u.pathname.endsWith(&quot;/content&quot;);\n    const response=await fetch(u,{headers:owned?{Authorization:&quot;Bearer &quot;+key}:{},redirect:&quot;manual&quot;});\n    if(!response.ok) throw new Error(&quot;Image content download failed: &quot;+response.status);\n    raw=Buffer.from(await response.arrayBuffer());\n  } else throw new Error(&quot;Image has neither bytes nor URL&quot;);\n  if(!raw.length) throw new Error(&quot;Empty image result&quot;);\n  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?&quot;png&quot;:raw[0]===255&amp;&amp;raw[1]===216?&quot;jpg&quot;:raw.toString(&quot;ascii&quot;,0,4)===&quot;RIFF&quot;&amp;&amp;raw.toString(&quot;ascii&quot;,8,12)===&quot;WEBP&quot;?&quot;webp&quot;:raw.toString(&quot;utf8&quot;).trimStart().startsWith(&quot;&lt;svg&quot;)||raw.toString(&quot;utf8&quot;).trimStart().startsWith(&quot;&lt;?xml&quot;)?&quot;svg&quot;:&quot;bin&quot;;\n  writeFileSync(`image-${index}.${ext}`,raw);\n}\nconsole.log(&quot;Every returned image saved; sdk-result.json retains complete metadata&quot;);\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Gauti ir išsaugoti rezultatus</h3><h4>Ailoot · Vaizdai</h4><p class=\"note-s\">Atsisiųskite kiekvieną grąžintą vaizdą arba išsaugokite jo Base64 turinį</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><div class=\"card-result-process\" data-all-results><h5>Išsaugoti visus baigtus rezultatus</h5><p class=\"note-s\">Išsaugokite kiekvieną baigtą vaizdą; gaukite turinį iš kiekvieno grąžinto URL arba dekoduokite jo Base64 turinį.</p><p class=\"note-s\">Išsaugokite kiekvieną duomenų elementą. Iškoduokite kiekvieną b64_json arba atsisiųskite turinį pagal kiekvieną grąžintą pasirašytą URL. Failo plėtinį pasirinkite pagal faktinį MIME tipą ir baitus.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jei reikia patikrinti pradinį atsakymą</h5><p class=\"note-s\">Jei vaizdo generavimo ar redagavimo rezultatą reikia patikrinti, išsaugokite pradinį operation_id/X-Client-Request-ID ir grąžintą informaciją apie rezultatą. Atkurkite prieigą prie esamų jums priklausančių rezultatų per medijos biblioteką, naudodami faktines task_id arba asset_id reikšmes. Pakartotinai neteikite generavimo ar redagavimo užklausos ir nekurkite būsenos tikrinimo URL iš operation_id.</p></div><details class=\"card-about\" data-output-fields><summary>Atsakymo laukai</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Laukas</th><th>Tipas</th></tr></thead><tbody><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">created</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span>integer</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">data[].url</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span>string</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">data[].b64_json</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span>base64 string</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span>object</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Klaidos ir tolesni veiksmai</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Atsakymas</th><th>Sąlyga</th><th>Kitas žingsnis</th></tr></thead><tbody><tr><th data-cell-label=\"Atsakymas\" scope=\"row\"><span class=\"card-cell-label\">Atsakymas</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Sąlyga\"><span class=\"card-cell-label\">Sąlyga</span>Netinkami privalomi laukai, medžiagos pateikimo forma arba parametro reikšmė</td><td data-cell-label=\"Kitas žingsnis\"><span class=\"card-cell-label\">Kitas žingsnis</span>Prieš naują kūrimo užklausą pataisykite nurodytus laukus.</td></tr><tr><th data-cell-label=\"Atsakymas\" scope=\"row\"><span class=\"card-cell-label\">Atsakymas</span><code>server_error</code></th><td data-cell-label=\"Sąlyga\"><span class=\"card-cell-label\">Sąlyga</span>Grąžintame atsakyme nurodoma, kad operaciją arba rezultatą reikia patikrinti</td><td data-cell-label=\"Kitas žingsnis\"><span class=\"card-cell-label\">Kitas žingsnis</span>Išsaugokite pradinį grąžintą operacijos ar užduoties ID, užklausos antraštes ir atsakymą; toliau tikrinkite tos pačios pradinės operacijos duomenis palaikomais būdais. Kūrimo užklausos pakartotinai neteikite.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Pseudonimai</h3><h4>Modelių pseudonimai</h4><p class=\"note-s\"><span data-model-alias-route=\"Core\"><b>Ailoot</b> <a href=\"#m=gpt-image-1.5&amp;route=Core&amp;caller=gpt-image-1.5&amp;fmt=images\"><code>gpt-image-1.5</code></a></span><br><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=gpt-image-1.5&amp;route=Ultra&amp;caller=gpt-image-1.5&amp;fmt=images\"><code>gpt-image-1.5</code></a></span></p><h4>Metodų kelių pseudonimai</h4><p class=\"note-s\">Naudokite aukščiau nurodytus metodų kelius.</p><h4>Susiję ID iškvietimui</h4><p class=\"note-s\"><a href=\"#m=gpt-image-1.5&amp;route=Core&amp;caller=gpt-image-1.5&amp;fmt=images\"><code>gpt-image-1.5</code></a>, <a href=\"#m=gpt-image-1.5&amp;route=Ultra&amp;caller=gpt-image-1.5&amp;fmt=images\"><code>gpt-image-1.5</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "gpt-image-1.5",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "gpt-image-1.5",
        "route_label": "Core"
      },
      "method_key": "Core|images|/v1/images/generations|gpt-image-1.5",
      "ordinal": 0,
      "rawMethod": {
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "cache_write_5m": null,
        "conditional_meter": null,
        "contract": {
          "data": {
            "all_results": "Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.",
            "errors": [
              {
                "code": null,
                "condition": "Netinkami privalomi laukai, medžiagos pateikimo forma arba parametro reikšmė",
                "http_status": 400,
                "recovery": "Prieš naują kūrimo užklausą pataisykite nurodytus laukus.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Grąžintame atsakyme nurodoma, kad operaciją arba rezultatą reikia patikrinti",
                "http_status": null,
                "recovery": "Išsaugokite pradinį grąžintą operacijos ar užduoties ID, užklausos antraštes ir atsakymą; toliau tikrinkite tos pačios pradinės operacijos duomenis palaikomais būdais. Kūrimo užklausos pakartotinai neteikite.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Jei vaizdo generavimo ar redagavimo rezultatą reikia patikrinti, išsaugokite pradinį operation_id/X-Client-Request-ID ir grąžintą informaciją apie rezultatą. Atkurkite prieigą prie esamų jums priklausančių rezultatų per medijos biblioteką, naudodami faktines task_id arba asset_id reikšmes. Pakartotinai neteikite generavimo ar redagavimo užklausos ir nekurkite būsenos tikrinimo URL iš operation_id."
            },
            "material_combinations": [
              {
                "content_types": [
                  "application/json",
                  "multipart/form-data"
                ],
                "file_id_supported": false,
                "mode": "text_to_image",
                "multipart_part_read_limit_bytes": 20971520,
                "optional_mask": {
                  "json": "mask.image_url",
                  "multipart": "mask"
                },
                "reference_representations": {
                  "json": "images[].image_url",
                  "multipart": [
                    "image",
                    "image[]",
                    "image[index]"
                  ]
                },
                "required": [
                  "prompt"
                ]
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "text_to_image"
            ],
            "outputs": {
              "all_results": "Išsaugokite kiekvieną duomenų elementą. Iškoduokite kiekvieną b64_json arba atsisiųskite turinį pagal kiekvieną grąžintą pasirašytą URL. Failo plėtinį pasirinkite pagal faktinį MIME tipą ir baitus.",
              "family": "image",
              "fields": [
                {
                  "description": null,
                  "name": "created",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "data[].url",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "data[].b64_json",
                  "type": "base64 string"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "actual validated raster MIME"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "gpt-image-1.5"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": 1,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "url",
                  "b64_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "size",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "quality",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "background",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "output_format",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "output_compression",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "moderation",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "input_fidelity",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "style",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "partial_images",
                "required": false,
                "type": "integer"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "images[].file_id",
              "mask.file_id"
            ]
          },
          "hints": [
            "Metodų struktūros ir ID yra tikslūs; tiekėjo galimybės yra atskirtos nuo užklausos priėmimo."
          ],
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional_controls": null,
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "faktiškai grąžinta task_id reikšmė arba medijos bibliotekos įrašas",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "If an image generation or edit result requires a check, keep the original operation_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task_id or asset_id values. Do not resubmit the generation/edit request or construct a polling URL from operation_id."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "operation_modes": [
            "images"
          ],
          "output": {
            "family": [
              "image"
            ],
            "format": null,
            "multioutputs": "retain every actual response output"
          }
        },
        "ctx": null,
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\nexport AILOOT_API_KEY\n: \"${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}\"\nexport AILOOT_PROMPT_FILE\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"gpt-image-1.5\", \"prompt\": \"\"}')\nf=Path(os.environ[\"AILOOT_PROMPT_FILE\"])\nif not f.is_file():raise SystemExit(\"Choose your actual UTF-8 brief\")\np['prompt']=f.read_text(encoding=\"utf-8\")\nif not p['prompt'].strip():raise SystemExit(\"Brief must contain text\")\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "Create and save every image",
            "language": "bash"
          },
          {
            "code": "from openai import OpenAI\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\n\nf=Path(os.environ[\"AILOOT_PROMPT_FILE\"])\nif not f.is_file():raise SystemExit(\"Set your actual UTF-8 image brief file\")\nrequest={'model': 'gpt-image-1.5', 'prompt': ''}\nrequest[\"prompt\"]=f.read_text(encoding=\"utf-8\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.images.generate(**request)\nPath(\"sdk-result.txt\").write_text(str(result),encoding=\"utf-8\")\nsave_images([{\"b64_json\":getattr(item,\"b64_json\",None),\"url\":getattr(item,\"url\",None)} for item in result.data])\n",
            "label": "Python SDK · save all image outputs",
            "language": "python"
          },
          {
            "code": "import OpenAI from \"openai\";\nimport { readFileSync, writeFileSync } from \"node:fs\";\nconst key=process.env.AILOOT_API_KEY;\nif(!key) throw new Error(\"Set your actual Ailoot API key\");\nconst client=new OpenAI({baseURL:\"https://api.ailoot.ai/v1\",apiKey:key,maxRetries:0});\nconst request={\"model\": \"gpt-image-1.5\", \"prompt\": \"\"};\nif(!process.env.AILOOT_PROMPT_FILE)throw new Error(\"Set your actual UTF-8 image brief file\");\nrequest.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,\"utf8\");\nconst result=await client.images.generate(request);\nwriteFileSync(\"sdk-result.json\",JSON.stringify(result,null,2));\nif(!result.data?.length) throw new Error(\"No completed images\");\nfor(let index=0;index<result.data.length;index++) {\n  const item=result.data[index];let encoded=item.b64_json,uri=item.url||\"\",raw;\n  if(!encoded && uri.startsWith(\"data:image/\")) {\n    const comma=uri.indexOf(\",\");if(comma<0 || !uri.slice(0,comma).includes(\";base64\")) throw new Error(\"Unsupported image data URI\");\n    encoded=uri.slice(comma+1);\n  }\n  if(encoded) {\n    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error(\"Invalid Base64\");\n    raw=Buffer.from(encoded,\"base64\");\n  } else if(uri) {\n    const u=new URL(uri,\"https://api.ailoot.ai\");\n    if(u.protocol!==\"https:\" || u.username || u.password) throw new Error(\"Invalid returned URL\");\n    const owned=u.origin===\"https://api.ailoot.ai\" && u.pathname.startsWith(\"/v1/media/assets/\") && u.pathname.endsWith(\"/content\");\n    const response=await fetch(u,{headers:owned?{Authorization:\"Bearer \"+key}:{},redirect:\"manual\"});\n    if(!response.ok) throw new Error(\"Image content download failed: \"+response.status);\n    raw=Buffer.from(await response.arrayBuffer());\n  } else throw new Error(\"Image has neither bytes nor URL\");\n  if(!raw.length) throw new Error(\"Empty image result\");\n  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?\"png\":raw[0]===255&&raw[1]===216?\"jpg\":raw.toString(\"ascii\",0,4)===\"RIFF\"&&raw.toString(\"ascii\",8,12)===\"WEBP\"?\"webp\":raw.toString(\"utf8\").trimStart().startsWith(\"<svg\")||raw.toString(\"utf8\").trimStart().startsWith(\"<?xml\")?\"svg\":\"bin\";\n  writeFileSync(`image-${index}.${ext}`,raw);\n}\nconsole.log(\"Every returned image saved; sdk-result.json retains complete metadata\");\n",
            "label": "Node SDK · save all image outputs",
            "language": "js"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "http": "POST",
        "img_in": 8,
        "img_out": 32,
        "in": 5,
        "input": [
          "text"
        ],
        "label": "Vaizdai",
        "max_out": null,
        "max_tool_calls": null,
        "out": 10,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "pricing_profiles": [
          {
            "dimensions": {},
            "label": "Core",
            "units": [
              {
                "amount": 5,
                "amount_unit": "usd_per_million_tokens",
                "key": "in",
                "label": "Input",
                "side": "in"
              },
              {
                "amount": 10,
                "amount_unit": "usd_per_million_tokens",
                "key": "out",
                "label": "Output",
                "side": "out"
              },
              {
                "amount": 8,
                "amount_unit": "usd_per_million_tokens",
                "key": "img_in",
                "label": "Image input",
                "side": "in"
              },
              {
                "amount": 32,
                "amount_unit": "usd_per_million_tokens",
                "key": "img_out",
                "label": "Image output",
                "side": "out"
              }
            ]
          }
        ],
        "request_model_id": "gpt-image-1.5",
        "route_label": "Core",
        "status_reads": [],
        "tiers": [],
        "tool_prices": null,
        "unit": "token",
        "units": []
      }
    },
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">O</span><h2 id=\"sheet-title\">GPT Image 1.5</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Uždaryti\">×</button></div><div class=\"idline\"><span>OpenAI /</span><code>gpt-image-1.5</code><button type=\"button\" id=\"copy-id\">Kopijuoti ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Modelio kortelės skyriai\"><button type=\"button\" data-card-jump=\"overview\">Pradžia</button><button type=\"button\" data-card-jump=\"methods\">Įvestys ir metodai</button><button type=\"button\" data-card-jump=\"pricing\">Planai</button><button type=\"button\" data-card-jump=\"examples\">Pavyzdžiai</button><button type=\"button\" data-card-jump=\"results\">Rezultatai</button><button type=\"button\" data-card-jump=\"aliases\">Pseudonimai</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API metodai\"><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-0\" data-card-method=\"Core|images|/v1/images/generations|gpt-image-1.5\">Vaizdai</button><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-1\" data-card-method=\"Ultra|images|/v1/images/generations|gpt-image-1.5\">Vaizdai · Ultra</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-1\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Pradžia</h3><p class=\"mdesc-full\">GPT Image 1.5 kuria vaizdus pagal tekstinę užduotį, daug dėmesio skirdama išsamių nurodymų laikymuisi. Numatyti trys kadro formatai, keli kokybės lygiai ir rezultato failų formatai.</p><dl class=\"card-io\" data-card-io><div><dt>Leidžiamos įvestys</dt><dd>Tekstas</dd></div><div><dt>Rezultatai</dt><dd>Vaizdai</dd></div></dl><details class=\"card-about\"><summary>Apie modelį</summary><p class=\"note-s\" data-model-method-boundary>Šis aprašas apima modelio galimybes. Pasirinktam metodui Ailoot prieinamos įvestys, išvestys ir parinktys nurodytos toliau.</p><div class=\"mabout\" id=\"m-about\"><h4>Vaizdas pagal išsamią užduotį</h4><p>GPT Image 1.5 — OpenAI modelis vaizdams kurti pagal tekstinį aprašymą. Gamintojas išskiria nurodymų laikymąsi ir išsamios užduoties apdorojimą: joje galima nustatyti scenos turinį, kompoziciją, objektų išvaizdą ir reikiamą stilių. Vaizdų metodo rezultatas — paruoštas vaizdas.</p><p>Ailoot ši kortelė skirta generavimui su tekstine įvestimi. OpenAI taip pat aprašo modelio darbą su pradiniais vaizdais, redagavimą ir atskirų sričių keitimą. Šioms galimybėms reikia atskiro vaizdinės įvesties palaikymo, jos neįtrauktos į čia nurodytą tekstinį generavimo būdą.</p><p>Atskirai OpenAI numatytoje redagavimo operacijoje kaukė yra orientyras: tikslus rezultato sutapimas su jos kontūrais negarantuojamas. Tokiai operacijai reikia pradinio vaizdo perdavimo palaikymo; dabartinė Ailoot kortelė ir toliau skirta generavimui su tekstine įvestimi.</p><h4>Trys kadro formatai ir kokybės nustatymas</h4><p>Numatyti kvadratinis dydis <code>1024x1024</code>, horizontalus <code>1536x1024</code> ir vertikalus <code>1024x1536</code>, taip pat automatinis pasirinkimas. Šiai versijai nereikėtų perkelti kitų modelių savavališkai pasirenkamų dydžių.</p><p>Kokybės lygiai — <code>low</code>, <code>medium</code>, <code>high</code> ir <code>auto</code>. Kokybės pasirinkimas veikia apdorojimo apimtį ir rezultato detalumą. Kokybė ir dydis yra skirtingi nustatymai: kadro orientacija nustato kompozicijos erdvę, o kokybės lygis — jos formavimo režimą. Lygiai <code>xhigh</code> ir <code>max</code> GPT Image 1.5 modeliui nenurodyti.</p><h4>Failo formatas ir fonas</h4><p>Pagal numatymą rezultatas kuriamas PNG formatu; taip pat numatyti JPEG ir WebP. JPEG ir WebP galima nustatyti suspaudimo laipsnį. Tai rezultato failo nustatymas, kuris skiriasi nuo generavimo kokybės.</p><p>Gamintojas numato skaidrų ir neskaidrų foną, taip pat automatinį pasirinkimą. Skaidrumui reikia PNG arba WebP: JPEG neišsaugo alfa kanalo. Skaidrus fonas patogus, kai vaizdas tolesnėje kompozicijoje naudojamas kaip atskiras objektas. Konkrečių parametrų palaikymą reikia vertinti pagal pasirinktą metodą.</p><h4>Tekstą ir kompoziciją reikia tikrinti</h4><p>Modelis gali įtraukti užrašus į vaizdą ir sudaryti sceną iš kelių elementų, tačiau tikslus teksto ir objektų išdėstymas negarantuojamas. To paties veikėjo išvaizdos arba dizaino pasikartojimą atskirose generacijose taip pat reikia kontroliuoti.</p><p>Sudėtingas vaizdas gali būti formuojamas ilgiau nei paprastas; OpenAI duomenimis, atskiros sudėtingos užduotys gali trukti iki dviejų minučių. Rezultatui svarbūs ir pradinio aprašymo išsamumas, ir paruošto vaizdo patikra: užrašų įskaitomumas, detalių padėtis ir atitiktis nurodytai scenai vertinami pagal patį failą.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Prieinama Ailoot · įvestys ir metodai</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Vaizdai</b> <code>POST /v1/images/generations</code></summary><dl class=\"method-capabilities\"><div><dt>Įvestis</dt><dd><code>text</code></dd></div><div><dt>Išvestis</dt><dd><code>image</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Laukas</th><th>Tipas</th><th>Reikalavimas</th><th>Reikšmės ir ribos</th><th>Numatyta</th></tr></thead><tbody><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Privaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>gpt-image-1.5</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">prompt</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Privaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>Didžiausias ilgis: 32 000</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">size</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>1024x1024, 1536x1024, 1024x1536, auto</div></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>auto</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">background</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>transparent, opaque, auto</div></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>auto</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">moderation</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>low, auto</div><div>Sąlygos: Įprastam turinio moderavimui naudokite auto.</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">n</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>integer</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>Mažiausia reikšmė: 1</div><div>Didžiausia reikšmė: 10</div></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>1</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">quality</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>auto, high, medium, low</div></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>auto</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">output_compression</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>integer</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>Mažiausia reikšmė: 0</div><div>Didžiausia reikšmė: 100</div><div>Sąlygos: Taikoma JPEG ir WebP išvesčiai; siųskite dokumentacijoje nurodytą sveikąjį skaičių.</div></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>100</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">output_format</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>webp, png, jpeg</div></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>png</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>boolean</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Neprivaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>false</div><div>Sąlygos: Šis maršrutas grąžina vieną užbaigtą JSON atsakymą.</div></td><td data-cell-label=\"Numatyta\" data-default=\"known\"><span class=\"card-cell-label\">Numatyta</span>false</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Metodo parametrai ir gyvavimo ciklas</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametras</th><th>Specifikacija</th></tr></thead><tbody><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>content_type</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>application/json</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>required</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>prompt, model</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>material_types</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>text</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>optional</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>size, background, moderation, n, quality, output_compression, output_format, stream</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>conditions</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>Skaidriam fonui reikia PNG arba WebP., Išvesties glaudinimas taikomas JPEG arba WebP., Pasirinktas metodas generuoja iš teksto. Gamintojo aprašyti redagavimo ir srautinės išvesties valdikliai yra atskiros galimybės.</td></tr></tbody></table></div><p>Gyvavimo ciklas: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · faktiškai grąžinta task_id reikšmė arba medijos bibliotekos įrašas</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Planai</h3><div class=\"card-result-process\" data-billing-basis><h5>Kaip apskaičiuojamas galutinis mokestis</h5><p class=\"note-s\">Rodomi įkainiai leidžia įvertinti kainą prieš generavimą. Galutinė suma apskaičiuojama pagal užfiksuotą pradinio generavimo kainą. Išmatuota rezultato trukmė ir prognozuoti kiekiai nėra galutinis apmokestinamas kiekis.</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarifų informacija neprideda užklausos parinkčių. Palaikomi parametrai nurodyti prie pasirinkto metodo.</p><dl data-price-conditions><dt>Spartusis režimas</dt><dd>Nenurodyta <span class=\"note-s\">Pasirinkus spartųjį režimą</span></dd><dt>Flex režimas</dt><dd>Nenurodyta <span class=\"note-s\">Pasirinkus flex režimą</span></dd><dt>Didžiausios samprotavimo pastangos</dt><dd>Nenurodyta <span class=\"note-s\">Kai didžiausioms samprotavimo pastangoms taikomas numatytasis koregavimas (default)</span></dd></dl></div><div data-declared-tariff-pricing><h4>Numatomi įkainiai palyginimui</h4><h4>Kainos pagal konfigūraciją</h4><p class=\"note-s\">Kiekvieną mokestį susiekite su nurodytomis sąlygomis. Kiekvienam alternatyvių konfigūracijų rinkiniui taikykite vieną įkainį.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigūracija</th><th>Įkainių lentelė</th><th>Numatomas kiekis</th><th>Mokestis</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigūracija\" scope=\"row\"><span class=\"card-cell-label\">Konfigūracija</span>Baziniai žetonų įkainiai</th><td data-cell-label=\"Įkainių lentelė\"><span class=\"card-cell-label\">Įkainių lentelė</span>Bazinis įkainis</td><td data-cell-label=\"Numatomas kiekis\"><span class=\"card-cell-label\">Numatomas kiekis</span>—</td><td data-cell-label=\"Mokestis\"><span class=\"card-cell-label\">Mokestis</span><div><span>Įvestis · Įvesties tokenai · Įvertis tik palyginimui</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenų</span></div><div><span>Išvestis · Išvesties tokenai · Įvertis tik palyginimui</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenų</span></div><div><span>Įvestis · Talpyklos skaitymas · Įvertis tik palyginimui</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenų</span></div><div><span>Įvestis · Rašymas į talpyklą · Įvertis tik palyginimui</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenų</span></div><div><span>Įvestis · Rašymas į talpyklą, 1 val · Įvertis tik palyginimui</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenų</span></div></td></tr><tr><th data-cell-label=\"Konfigūracija\" scope=\"row\"><span class=\"card-cell-label\">Konfigūracija</span>Numatoma generavimo kaina</th><td data-cell-label=\"Įkainių lentelė\"><span class=\"card-cell-label\">Įkainių lentelė</span>—</td><td data-cell-label=\"Numatomas kiekis\"><span class=\"card-cell-label\">Numatomas kiekis</span>vieno generavimo įvertis</td><td data-cell-label=\"Mokestis\"><span class=\"card-cell-label\">Mokestis</span><div><span>Išvestis · Numatoma generavimo kaina · Įvertis tik palyginimui</span> <b>$0.32768</b> <span class=\"price-unit\">įvertis prieš generavimą</span></div><p class=\"note-s\">Šis įvertis nėra papildomas mokestis ar fiksuotas užbaigto generavimo įkainis.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot prieš užklausą rezervuoja numatomą sumą. Gavus rezultatą, galutinis mokestis nuskaitomas pagal išmatuotą naudojimą. Srautinio atsakymo atsiskaitymui naudojamas galutinis naudojimo įrašas. <a href=\"/docs/lt/billing/reserve/\">Kaip veikia rezervavimas ir atsiskaitymas →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Užklausų pavyzdžiai</h3><h4>Ailoot Ultra · Vaizdai</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kodo variantai\"><button class=\"cg-tab\" id=\"model-code-640-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-640-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kopijuoti kodą\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-640-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-640-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np={&#39;prompt&#39;: &#39;A cute baby sea otter&#39;, &#39;model&#39;: &#39;gpt-image-1.5&#39;, &#39;size&#39;: &#39;1024x1024&#39;, &#39;n&#39;: 1, &#39;background&#39;: &#39;auto&#39;, &#39;moderation&#39;: &#39;auto&#39;, &#39;output_format&#39;: &#39;png&#39;}\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(&quot;No completed images; retain the full response&quot;)\n    for index, item in enumerate(items):\n        encoded=item.get(&quot;b64_json&quot;)\n        uri=item.get(&quot;url&quot;, &quot;&quot;)\n        if not encoded and uri.startswith(&quot;data:image/&quot;):\n            header, separator, encoded=uri.partition(&quot;,&quot;)\n            if not separator or &quot;;base64&quot; not in header: raise SystemExit(&quot;Unsupported image data URI&quot;)\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(&quot;https://api.ailoot.ai&quot;,uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=&quot;https&quot; or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(&quot;Invalid returned image URL&quot;)\n            owned=parsed.netloc==&quot;api.ailoot.ai&quot; and parsed.path.startswith(&quot;/v1/media/assets/&quot;) and parsed.path.endswith(&quot;/content&quot;)\n            args=[&quot;curl&quot;,&quot;--fail-with-body&quot;,&quot;--silent&quot;,&quot;--show-error&quot;,uri]\n            if owned: args += [&quot;-H&quot;,&quot;Authorization: Bearer &quot;+os.environ[&quot;AILOOT_API_KEY&quot;]]\n            temporary=Path(f&quot;image-{index}.bin&quot;)\n            subprocess.run(args+[&quot;-o&quot;,str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(&quot;Image has neither bytes nor URL&quot;)\n        if not raw: raise SystemExit(&quot;Empty image result&quot;)\n        ext=&quot;png&quot; if raw.startswith(b&quot;\\x89PNG&quot;) else &quot;jpg&quot; if raw.startswith(b&quot;\\xff\\xd8&quot;) else &quot;webp&quot; if raw[:4]==b&quot;RIFF&quot; and raw[8:12]==b&quot;WEBP&quot; else &quot;svg&quot; if raw.lstrip().startswith((b&quot;&lt;svg&quot;,b&quot;&lt;?xml&quot;)) else &quot;bin&quot;\n        Path(f&quot;image-{index}.{ext}&quot;).write_bytes(raw)\n    print(&quot;Every returned image saved; complete response metadata retained&quot;)\nsave_images(json.loads(Path(&quot;result.json&quot;).read_text())[&quot;data&quot;])\nPY_RESULT\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Gauti ir išsaugoti rezultatus</h3><h4>Ailoot Ultra · Vaizdai</h4><p class=\"note-s\">Atsisiųskite kiekvieną grąžintą vaizdą arba išsaugokite jo Base64 turinį</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>Kito turinio skaitymas</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kodo variantai\"><button class=\"cg-tab\" id=\"model-code-641-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-641-panel-0\" aria-selected=\"true\" tabindex=\"0\">Skaityti esamą jums priklausančią medžiagą</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kopijuoti kodą\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-641-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-641-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>Išsaugoti visus baigtus rezultatus</h5><p class=\"note-s\">Išsaugokite kiekvieną baigtą vaizdą; gaukite turinį iš kiekvieno grąžinto URL arba dekoduokite jo Base64 turinį.</p><p class=\"note-s\">Išsaugokite visą atsakymą ir antraštes, visus faktiškai gautus rezultatus, pradinius grąžintus identifikatorius ir visus naudojimo apskaitos laukus. Atkurkite prieigą prie pradinės operacijos pakartotinai neteikdami kūrimo užklausos.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Jei reikia patikrinti pradinį atsakymą</h5><p class=\"note-s\">Išsaugokite grąžintą X-Client-Request-ID duomenims sutikrinti. Tikrinkite tik faktiškai grąžintas task_id/asset_id reikšmes arba jums priklausančią medijos biblioteką; niekada nekurkite užduoties URL iš operacijos ID ir niekada pakartotinai neteikite kūrimo užklausos.</p></div><details class=\"card-about\" data-output-fields><summary>Atsakymo laukai</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Laukas</th><th>Tipas</th></tr></thead><tbody><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">created</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span></td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">data[].url</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span></td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">data[].b64_json</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span></td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span></td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Pseudonimai</h3><h4>Modelių pseudonimai</h4><p class=\"note-s\"><span data-model-alias-route=\"Core\"><b>Ailoot</b> <a href=\"#m=gpt-image-1.5&amp;route=Core&amp;caller=gpt-image-1.5&amp;fmt=images\"><code>gpt-image-1.5</code></a></span><br><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=gpt-image-1.5&amp;route=Ultra&amp;caller=gpt-image-1.5&amp;fmt=images\"><code>gpt-image-1.5</code></a></span></p><h4>Metodų kelių pseudonimai</h4><p class=\"note-s\">Naudokite aukščiau nurodytus metodų kelius.</p><h4>Susiję ID iškvietimui</h4><p class=\"note-s\"><a href=\"#m=gpt-image-1.5&amp;route=Core&amp;caller=gpt-image-1.5&amp;fmt=images\"><code>gpt-image-1.5</code></a>, <a href=\"#m=gpt-image-1.5&amp;route=Ultra&amp;caller=gpt-image-1.5&amp;fmt=images\"><code>gpt-image-1.5</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "gpt-image-1.5",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "gpt-image-1.5",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|gpt-image-1.5",
      "ordinal": 1,
      "rawMethod": {
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "Rodomi įkainiai leidžia įvertinti kainą prieš generavimą. Galutinė suma apskaičiuojama pagal užfiksuotą pradinio generavimo kainą. Išmatuota rezultato trukmė ir prognozuoti kiekiai nėra galutinis apmokestinamas kiekis.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Išsaugokite grąžintą X-Client-Request-ID duomenims sutikrinti. Tikrinkite tik faktiškai grąžintas task_id/asset_id reikšmes arba jums priklausančią medijos biblioteką; niekada nekurkite užduoties URL iš operacijos ID ir niekada pakartotinai neteikite kūrimo užklausos."
            },
            "outputs": {
              "all_results": "Išsaugokite visą atsakymą ir antraštes, visus faktiškai gautus rezultatus, pradinius grąžintus identifikatorius ir visus naudojimo apskaitos laukus. Atkurkite prieigą prie pradinės operacijos pakartotinai neteikdami kūrimo užklausos.",
              "family": "image",
              "fields": [
                {
                  "description": null,
                  "name": "created",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].url",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].b64_json",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "gpt-image-1.5"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "maxLength": 32000,
                "maximum_length": 32000,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "default": "auto",
                "default_known": true,
                "enum": [
                  "1024x1024",
                  "1536x1024",
                  "1024x1536",
                  "auto"
                ],
                "enum_known": true,
                "name": "size",
                "required": false,
                "type": "string"
              },
              {
                "default": "auto",
                "default_known": true,
                "enum": [
                  "transparent",
                  "opaque",
                  "auto"
                ],
                "enum_known": true,
                "name": "background",
                "required": false,
                "type": "string"
              },
              {
                "conditions": "Įprastam turinio moderavimui naudokite auto.",
                "description": "Use auto for standard content moderation.",
                "enum": [
                  "low",
                  "auto"
                ],
                "enum_known": true,
                "name": "moderation",
                "required": false,
                "type": "string"
              },
              {
                "default": 1,
                "default_known": true,
                "maximum": 10,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default": "auto",
                "default_known": true,
                "enum": [
                  "auto",
                  "high",
                  "medium",
                  "low"
                ],
                "enum_known": true,
                "name": "quality",
                "required": false,
                "type": "string"
              },
              {
                "conditions": "Taikoma JPEG ir WebP išvesčiai; siųskite dokumentacijoje nurodytą sveikąjį skaičių.",
                "default": 100,
                "default_known": true,
                "description": "Applies to JPEG and WebP output; send the documented integer value.",
                "maximum": 100,
                "minimum": 0,
                "name": "output_compression",
                "required": false,
                "type": "integer"
              },
              {
                "default": "png",
                "default_known": true,
                "enum": [
                  "webp",
                  "png",
                  "jpeg"
                ],
                "enum_known": true,
                "name": "output_format",
                "required": false,
                "type": "string"
              },
              {
                "conditions": "Šis maršrutas grąžina vieną užbaigtą JSON atsakymą.",
                "default": false,
                "default_known": true,
                "description": "This route returns one completed JSON response.",
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "request_schema": {
              "properties": {
                "background": {
                  "default": "auto",
                  "enum": [
                    "transparent",
                    "opaque",
                    "auto"
                  ],
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "gpt-image-1.5"
                  ],
                  "type": "string"
                },
                "moderation": {
                  "description": "Use auto for standard content moderation.",
                  "enum": [
                    "low",
                    "auto"
                  ],
                  "type": "string"
                },
                "n": {
                  "default": 1,
                  "maximum": 10,
                  "minimum": 1,
                  "type": "integer"
                },
                "output_compression": {
                  "default": 100,
                  "description": "Applies to JPEG and WebP output; send the documented integer value.",
                  "maximum": 100,
                  "minimum": 0,
                  "type": "integer"
                },
                "output_format": {
                  "default": "png",
                  "enum": [
                    "webp",
                    "png",
                    "jpeg"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "maxLength": 32000,
                  "type": "string"
                },
                "quality": {
                  "default": "auto",
                  "enum": [
                    "auto",
                    "high",
                    "medium",
                    "low"
                  ],
                  "type": "string"
                },
                "size": {
                  "default": "auto",
                  "enum": [
                    "1024x1024",
                    "1536x1024",
                    "1024x1536",
                    "auto"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "description": "This route returns one completed JSON response.",
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                }
              },
              "required": [
                "prompt",
                "model"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "background": "auto",
                "model": "gpt-image-1.5",
                "moderation": "auto",
                "n": 1,
                "output_format": "png",
                "prompt": "A cute baby sea otter",
                "size": "1024x1024"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Skaidriam fonui reikia PNG arba WebP.",
              "Išvesties glaudinimas taikomas JPEG arba WebP.",
              "Pasirinktas metodas generuoja iš teksto. Gamintojo aprašyti redagavimo ir srautinės išvesties valdikliai yra atskiros galimybės."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "size",
              "background",
              "moderation",
              "n",
              "quality",
              "output_compression",
              "output_format",
              "stream"
            ],
            "required": [
              "prompt",
              "model"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "faktiškai grąžinta task_id reikšmė arba medijos bibliotekos įrašas",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "image",
            "fields": [
              {
                "description": null,
                "name": "created",
                "type": null
              },
              {
                "description": null,
                "name": "data[].url",
                "type": null
              },
              {
                "description": null,
                "name": "data[].b64_json",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "Šis įvertis nėra papildomas mokestis ar fiksuotas užbaigto generavimo įkainis.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Numatoma generavimo kaina",
            "units": [
              {
                "amount": "0.32768",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.32768",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np={'prompt': 'A cute baby sea otter', 'model': 'gpt-image-1.5', 'size': '1024x1024', 'n': 1, 'background': 'auto', 'moderation': 'auto', 'output_format': 'png'}\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "curl · exact creation/save all outputs",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Vaizdai",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.32768",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.32768",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "gpt-image-1.5",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.32768",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.32768",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    }
  ],
  "model_id": "gpt-image-1.5",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "cc25a35e31f0bf8f6ebb0d587ea5372b0c90f284897fc01931676569ec50a213",
    "input_html_sha256": "318465564e4f427ef9f8458a8d6f3b103e938fc3308919f7141f9b841eaceee5",
    "private_audit_sha256": "10df98bfe242cc89451ef4e665a5853659219e7ca0ad97f3732e75c073de524a",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/lt/gpt-image-1-5/",
    "description": "GPT Image 1.5 kuria vaizdus pagal tekstinę užduotį, daug dėmesio skirdama išsamių nurodymų laikymuisi. Numatyti trys kadro formatai, keli kokybės lygiai ir rezultato failų formatai.",
    "locale": "lt",
    "md_url": "https://ailoot.ai/models/lt/gpt-image-1-5/index.md",
    "title": "GPT Image 1.5 — Ailoot",
    "url": "https://ailoot.ai/models/lt/gpt-image-1-5/"
  },
  "rawModel": {
    "about": "### Vaizdas pagal išsamią užduotį\n\nGPT Image 1.5 — OpenAI modelis vaizdams kurti pagal tekstinį aprašymą. Gamintojas išskiria nurodymų laikymąsi ir išsamios užduoties apdorojimą: joje galima nustatyti scenos turinį, kompoziciją, objektų išvaizdą ir reikiamą stilių. Vaizdų metodo rezultatas — paruoštas vaizdas.\n\nAiloot ši kortelė skirta generavimui su tekstine įvestimi. OpenAI taip pat aprašo modelio darbą su pradiniais vaizdais, redagavimą ir atskirų sričių keitimą. Šioms galimybėms reikia atskiro vaizdinės įvesties palaikymo, jos neįtrauktos į čia nurodytą tekstinį generavimo būdą.\n\nAtskirai OpenAI numatytoje redagavimo operacijoje kaukė yra orientyras: tikslus rezultato sutapimas su jos kontūrais negarantuojamas. Tokiai operacijai reikia pradinio vaizdo perdavimo palaikymo; dabartinė Ailoot kortelė ir toliau skirta generavimui su tekstine įvestimi.\n\n### Trys kadro formatai ir kokybės nustatymas\n\nNumatyti kvadratinis dydis `1024x1024`, horizontalus `1536x1024` ir vertikalus `1024x1536`, taip pat automatinis pasirinkimas. Šiai versijai nereikėtų perkelti kitų modelių savavališkai pasirenkamų dydžių.\n\nKokybės lygiai — `low`, `medium`, `high` ir `auto`. Kokybės pasirinkimas veikia apdorojimo apimtį ir rezultato detalumą. Kokybė ir dydis yra skirtingi nustatymai: kadro orientacija nustato kompozicijos erdvę, o kokybės lygis — jos formavimo režimą. Lygiai `xhigh` ir `max` GPT Image 1.5 modeliui nenurodyti.\n\n### Failo formatas ir fonas\n\nPagal numatymą rezultatas kuriamas PNG formatu; taip pat numatyti JPEG ir WebP. JPEG ir WebP galima nustatyti suspaudimo laipsnį. Tai rezultato failo nustatymas, kuris skiriasi nuo generavimo kokybės.\n\nGamintojas numato skaidrų ir neskaidrų foną, taip pat automatinį pasirinkimą. Skaidrumui reikia PNG arba WebP: JPEG neišsaugo alfa kanalo. Skaidrus fonas patogus, kai vaizdas tolesnėje kompozicijoje naudojamas kaip atskiras objektas. Konkrečių parametrų palaikymą reikia vertinti pagal pasirinktą metodą.\n\n### Tekstą ir kompoziciją reikia tikrinti\n\nModelis gali įtraukti užrašus į vaizdą ir sudaryti sceną iš kelių elementų, tačiau tikslus teksto ir objektų išdėstymas negarantuojamas. To paties veikėjo išvaizdos arba dizaino pasikartojimą atskirose generacijose taip pat reikia kontroliuoti.\n\nSudėtingas vaizdas gali būti formuojamas ilgiau nei paprastas; OpenAI duomenimis, atskiros sudėtingos užduotys gali trukti iki dviejų minučių. Rezultatui svarbūs ir pradinio aprašymo išsamumas, ir paruošto vaizdo patikra: užrašų įskaitomumas, detalių padėtis ir atitiktis nurodytai scenai vertinami pagal patį failą.",
    "alias_of": null,
    "aliases": [],
    "author": "OpenAI",
    "card_routes": [
      {
        "label": "Core",
        "rates": [
          {
            "amount": 5,
            "amount_unit": "usd_per_million_tokens",
            "key": "in",
            "label": "Input",
            "side": "in"
          },
          {
            "amount": 10,
            "amount_unit": "usd_per_million_tokens",
            "key": "out",
            "label": "Output",
            "side": "out"
          }
        ],
        "summary": "Visa konfigūracijos kainodara pateikta išsamioje informacijoje."
      },
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.32768",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.32768",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ],
        "summary": "Visa konfigūracijos kainodara pateikta išsamioje informacijoje."
      }
    ],
    "ctx": null,
    "formats": [
      "images"
    ],
    "id": "gpt-image-1.5",
    "input": [
      "text"
    ],
    "kind": "image",
    "max_out": null,
    "methods": [
      {
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "cache_write_5m": null,
        "conditional_meter": null,
        "contract": {
          "data": {
            "all_results": "Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.",
            "errors": [
              {
                "code": null,
                "condition": "Netinkami privalomi laukai, medžiagos pateikimo forma arba parametro reikšmė",
                "http_status": 400,
                "recovery": "Prieš naują kūrimo užklausą pataisykite nurodytus laukus.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Grąžintame atsakyme nurodoma, kad operaciją arba rezultatą reikia patikrinti",
                "http_status": null,
                "recovery": "Išsaugokite pradinį grąžintą operacijos ar užduoties ID, užklausos antraštes ir atsakymą; toliau tikrinkite tos pačios pradinės operacijos duomenis palaikomais būdais. Kūrimo užklausos pakartotinai neteikite.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Jei vaizdo generavimo ar redagavimo rezultatą reikia patikrinti, išsaugokite pradinį operation_id/X-Client-Request-ID ir grąžintą informaciją apie rezultatą. Atkurkite prieigą prie esamų jums priklausančių rezultatų per medijos biblioteką, naudodami faktines task_id arba asset_id reikšmes. Pakartotinai neteikite generavimo ar redagavimo užklausos ir nekurkite būsenos tikrinimo URL iš operation_id."
            },
            "material_combinations": [
              {
                "content_types": [
                  "application/json",
                  "multipart/form-data"
                ],
                "file_id_supported": false,
                "mode": "text_to_image",
                "multipart_part_read_limit_bytes": 20971520,
                "optional_mask": {
                  "json": "mask.image_url",
                  "multipart": "mask"
                },
                "reference_representations": {
                  "json": "images[].image_url",
                  "multipart": [
                    "image",
                    "image[]",
                    "image[index]"
                  ]
                },
                "required": [
                  "prompt"
                ]
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "text_to_image"
            ],
            "outputs": {
              "all_results": "Išsaugokite kiekvieną duomenų elementą. Iškoduokite kiekvieną b64_json arba atsisiųskite turinį pagal kiekvieną grąžintą pasirašytą URL. Failo plėtinį pasirinkite pagal faktinį MIME tipą ir baitus.",
              "family": "image",
              "fields": [
                {
                  "description": null,
                  "name": "created",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "data[].url",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "data[].b64_json",
                  "type": "base64 string"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "actual validated raster MIME"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "gpt-image-1.5"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_length": 1,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": 1,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "url",
                  "b64_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "size",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "quality",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "background",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "output_format",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "output_compression",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "moderation",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "input_fidelity",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "style",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "partial_images",
                "required": false,
                "type": "integer"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "images[].file_id",
              "mask.file_id"
            ]
          },
          "hints": [
            "Metodų struktūros ir ID yra tikslūs; tiekėjo galimybės yra atskirtos nuo užklausos priėmimo."
          ],
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional_controls": null,
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "faktiškai grąžinta task_id reikšmė arba medijos bibliotekos įrašas",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "If an image generation or edit result requires a check, keep the original operation_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task_id or asset_id values. Do not resubmit the generation/edit request or construct a polling URL from operation_id."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "operation_modes": [
            "images"
          ],
          "output": {
            "family": [
              "image"
            ],
            "format": null,
            "multioutputs": "retain every actual response output"
          }
        },
        "ctx": null,
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\nexport AILOOT_API_KEY\n: \"${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}\"\nexport AILOOT_PROMPT_FILE\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"gpt-image-1.5\", \"prompt\": \"\"}')\nf=Path(os.environ[\"AILOOT_PROMPT_FILE\"])\nif not f.is_file():raise SystemExit(\"Choose your actual UTF-8 brief\")\np['prompt']=f.read_text(encoding=\"utf-8\")\nif not p['prompt'].strip():raise SystemExit(\"Brief must contain text\")\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "Create and save every image",
            "language": "bash"
          },
          {
            "code": "from openai import OpenAI\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\n\nf=Path(os.environ[\"AILOOT_PROMPT_FILE\"])\nif not f.is_file():raise SystemExit(\"Set your actual UTF-8 image brief file\")\nrequest={'model': 'gpt-image-1.5', 'prompt': ''}\nrequest[\"prompt\"]=f.read_text(encoding=\"utf-8\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.images.generate(**request)\nPath(\"sdk-result.txt\").write_text(str(result),encoding=\"utf-8\")\nsave_images([{\"b64_json\":getattr(item,\"b64_json\",None),\"url\":getattr(item,\"url\",None)} for item in result.data])\n",
            "label": "Python SDK · save all image outputs",
            "language": "python"
          },
          {
            "code": "import OpenAI from \"openai\";\nimport { readFileSync, writeFileSync } from \"node:fs\";\nconst key=process.env.AILOOT_API_KEY;\nif(!key) throw new Error(\"Set your actual Ailoot API key\");\nconst client=new OpenAI({baseURL:\"https://api.ailoot.ai/v1\",apiKey:key,maxRetries:0});\nconst request={\"model\": \"gpt-image-1.5\", \"prompt\": \"\"};\nif(!process.env.AILOOT_PROMPT_FILE)throw new Error(\"Set your actual UTF-8 image brief file\");\nrequest.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,\"utf8\");\nconst result=await client.images.generate(request);\nwriteFileSync(\"sdk-result.json\",JSON.stringify(result,null,2));\nif(!result.data?.length) throw new Error(\"No completed images\");\nfor(let index=0;index<result.data.length;index++) {\n  const item=result.data[index];let encoded=item.b64_json,uri=item.url||\"\",raw;\n  if(!encoded && uri.startsWith(\"data:image/\")) {\n    const comma=uri.indexOf(\",\");if(comma<0 || !uri.slice(0,comma).includes(\";base64\")) throw new Error(\"Unsupported image data URI\");\n    encoded=uri.slice(comma+1);\n  }\n  if(encoded) {\n    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error(\"Invalid Base64\");\n    raw=Buffer.from(encoded,\"base64\");\n  } else if(uri) {\n    const u=new URL(uri,\"https://api.ailoot.ai\");\n    if(u.protocol!==\"https:\" || u.username || u.password) throw new Error(\"Invalid returned URL\");\n    const owned=u.origin===\"https://api.ailoot.ai\" && u.pathname.startsWith(\"/v1/media/assets/\") && u.pathname.endsWith(\"/content\");\n    const response=await fetch(u,{headers:owned?{Authorization:\"Bearer \"+key}:{},redirect:\"manual\"});\n    if(!response.ok) throw new Error(\"Image content download failed: \"+response.status);\n    raw=Buffer.from(await response.arrayBuffer());\n  } else throw new Error(\"Image has neither bytes nor URL\");\n  if(!raw.length) throw new Error(\"Empty image result\");\n  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?\"png\":raw[0]===255&&raw[1]===216?\"jpg\":raw.toString(\"ascii\",0,4)===\"RIFF\"&&raw.toString(\"ascii\",8,12)===\"WEBP\"?\"webp\":raw.toString(\"utf8\").trimStart().startsWith(\"<svg\")||raw.toString(\"utf8\").trimStart().startsWith(\"<?xml\")?\"svg\":\"bin\";\n  writeFileSync(`image-${index}.${ext}`,raw);\n}\nconsole.log(\"Every returned image saved; sdk-result.json retains complete metadata\");\n",
            "label": "Node SDK · save all image outputs",
            "language": "js"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "http": "POST",
        "img_in": 8,
        "img_out": 32,
        "in": 5,
        "input": [
          "text"
        ],
        "label": "Vaizdai",
        "max_out": null,
        "max_tool_calls": null,
        "out": 10,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "pricing_profiles": [
          {
            "dimensions": {},
            "label": "Core",
            "units": [
              {
                "amount": 5,
                "amount_unit": "usd_per_million_tokens",
                "key": "in",
                "label": "Input",
                "side": "in"
              },
              {
                "amount": 10,
                "amount_unit": "usd_per_million_tokens",
                "key": "out",
                "label": "Output",
                "side": "out"
              },
              {
                "amount": 8,
                "amount_unit": "usd_per_million_tokens",
                "key": "img_in",
                "label": "Image input",
                "side": "in"
              },
              {
                "amount": 32,
                "amount_unit": "usd_per_million_tokens",
                "key": "img_out",
                "label": "Image output",
                "side": "out"
              }
            ]
          }
        ],
        "request_model_id": "gpt-image-1.5",
        "route_label": "Core",
        "status_reads": [],
        "tiers": [],
        "tool_prices": null,
        "unit": "token",
        "units": []
      },
      {
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "Rodomi įkainiai leidžia įvertinti kainą prieš generavimą. Galutinė suma apskaičiuojama pagal užfiksuotą pradinio generavimo kainą. Išmatuota rezultato trukmė ir prognozuoti kiekiai nėra galutinis apmokestinamas kiekis.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Išsaugokite grąžintą X-Client-Request-ID duomenims sutikrinti. Tikrinkite tik faktiškai grąžintas task_id/asset_id reikšmes arba jums priklausančią medijos biblioteką; niekada nekurkite užduoties URL iš operacijos ID ir niekada pakartotinai neteikite kūrimo užklausos."
            },
            "outputs": {
              "all_results": "Išsaugokite visą atsakymą ir antraštes, visus faktiškai gautus rezultatus, pradinius grąžintus identifikatorius ir visus naudojimo apskaitos laukus. Atkurkite prieigą prie pradinės operacijos pakartotinai neteikdami kūrimo užklausos.",
              "family": "image",
              "fields": [
                {
                  "description": null,
                  "name": "created",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].url",
                  "type": null
                },
                {
                  "description": null,
                  "name": "data[].b64_json",
                  "type": null
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": null
                }
              ]
            },
            "parameters": [
              {
                "enum": [
                  "gpt-image-1.5"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "maxLength": 32000,
                "maximum_length": 32000,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "default": "auto",
                "default_known": true,
                "enum": [
                  "1024x1024",
                  "1536x1024",
                  "1024x1536",
                  "auto"
                ],
                "enum_known": true,
                "name": "size",
                "required": false,
                "type": "string"
              },
              {
                "default": "auto",
                "default_known": true,
                "enum": [
                  "transparent",
                  "opaque",
                  "auto"
                ],
                "enum_known": true,
                "name": "background",
                "required": false,
                "type": "string"
              },
              {
                "conditions": "Įprastam turinio moderavimui naudokite auto.",
                "description": "Use auto for standard content moderation.",
                "enum": [
                  "low",
                  "auto"
                ],
                "enum_known": true,
                "name": "moderation",
                "required": false,
                "type": "string"
              },
              {
                "default": 1,
                "default_known": true,
                "maximum": 10,
                "minimum": 1,
                "name": "n",
                "required": false,
                "type": "integer"
              },
              {
                "default": "auto",
                "default_known": true,
                "enum": [
                  "auto",
                  "high",
                  "medium",
                  "low"
                ],
                "enum_known": true,
                "name": "quality",
                "required": false,
                "type": "string"
              },
              {
                "conditions": "Taikoma JPEG ir WebP išvesčiai; siųskite dokumentacijoje nurodytą sveikąjį skaičių.",
                "default": 100,
                "default_known": true,
                "description": "Applies to JPEG and WebP output; send the documented integer value.",
                "maximum": 100,
                "minimum": 0,
                "name": "output_compression",
                "required": false,
                "type": "integer"
              },
              {
                "default": "png",
                "default_known": true,
                "enum": [
                  "webp",
                  "png",
                  "jpeg"
                ],
                "enum_known": true,
                "name": "output_format",
                "required": false,
                "type": "string"
              },
              {
                "conditions": "Šis maršrutas grąžina vieną užbaigtą JSON atsakymą.",
                "default": false,
                "default_known": true,
                "description": "This route returns one completed JSON response.",
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "request_schema": {
              "properties": {
                "background": {
                  "default": "auto",
                  "enum": [
                    "transparent",
                    "opaque",
                    "auto"
                  ],
                  "type": "string"
                },
                "model": {
                  "enum": [
                    "gpt-image-1.5"
                  ],
                  "type": "string"
                },
                "moderation": {
                  "description": "Use auto for standard content moderation.",
                  "enum": [
                    "low",
                    "auto"
                  ],
                  "type": "string"
                },
                "n": {
                  "default": 1,
                  "maximum": 10,
                  "minimum": 1,
                  "type": "integer"
                },
                "output_compression": {
                  "default": 100,
                  "description": "Applies to JPEG and WebP output; send the documented integer value.",
                  "maximum": 100,
                  "minimum": 0,
                  "type": "integer"
                },
                "output_format": {
                  "default": "png",
                  "enum": [
                    "webp",
                    "png",
                    "jpeg"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "maxLength": 32000,
                  "type": "string"
                },
                "quality": {
                  "default": "auto",
                  "enum": [
                    "auto",
                    "high",
                    "medium",
                    "low"
                  ],
                  "type": "string"
                },
                "size": {
                  "default": "auto",
                  "enum": [
                    "1024x1024",
                    "1536x1024",
                    "1024x1536",
                    "auto"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "description": "This route returns one completed JSON response.",
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                }
              },
              "required": [
                "prompt",
                "model"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "background": "auto",
                "model": "gpt-image-1.5",
                "moderation": "auto",
                "n": 1,
                "output_format": "png",
                "prompt": "A cute baby sea otter",
                "size": "1024x1024"
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Skaidriam fonui reikia PNG arba WebP.",
              "Išvesties glaudinimas taikomas JPEG arba WebP.",
              "Pasirinktas metodas generuoja iš teksto. Gamintojo aprašyti redagavimo ir srautinės išvesties valdikliai yra atskiros galimybės."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "size",
              "background",
              "moderation",
              "n",
              "quality",
              "output_compression",
              "output_format",
              "stream"
            ],
            "required": [
              "prompt",
              "model"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "faktiškai grąžinta task_id reikšmė arba medijos bibliotekos įrašas",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation."
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "output": {
            "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.",
            "family": "image",
            "fields": [
              {
                "description": null,
                "name": "created",
                "type": null
              },
              {
                "description": null,
                "name": "data[].url",
                "type": null
              },
              {
                "description": null,
                "name": "data[].b64_json",
                "type": null
              },
              {
                "description": null,
                "name": "usage",
                "type": null
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "Šis įvertis nėra papildomas mokestis ar fiksuotas užbaigto generavimo įkainis.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Numatoma generavimo kaina",
            "units": [
              {
                "amount": "0.32768",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.32768",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np={'prompt': 'A cute baby sea otter', 'model': 'gpt-image-1.5', 'size': '1024x1024', 'n': 1, 'background': 'auto', 'moderation': 'auto', 'output_format': 'png'}\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport base64, json, os, subprocess\nfrom pathlib import Path\nfrom urllib.parse import urlsplit, urljoin\n\ndef save_images(items):\n    if not items: raise SystemExit(\"No completed images; retain the full response\")\n    for index, item in enumerate(items):\n        encoded=item.get(\"b64_json\")\n        uri=item.get(\"url\", \"\")\n        if not encoded and uri.startswith(\"data:image/\"):\n            header, separator, encoded=uri.partition(\",\")\n            if not separator or \";base64\" not in header: raise SystemExit(\"Unsupported image data URI\")\n        if encoded:\n            raw=base64.b64decode(encoded,validate=True)\n        elif uri:\n            uri=urljoin(\"https://api.ailoot.ai\",uri)\n            parsed=urlsplit(uri)\n            if parsed.scheme!=\"https\" or not parsed.netloc or parsed.username or parsed.password:\n                raise SystemExit(\"Invalid returned image URL\")\n            owned=parsed.netloc==\"api.ailoot.ai\" and parsed.path.startswith(\"/v1/media/assets/\") and parsed.path.endswith(\"/content\")\n            args=[\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",uri]\n            if owned: args += [\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"]]\n            temporary=Path(f\"image-{index}.bin\")\n            subprocess.run(args+[\"-o\",str(temporary)],check=True)\n            raw=temporary.read_bytes()\n            temporary.unlink()\n        else: raise SystemExit(\"Image has neither bytes nor URL\")\n        if not raw: raise SystemExit(\"Empty image result\")\n        ext=\"png\" if raw.startswith(b\"\\x89PNG\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4]==b\"RIFF\" and raw[8:12]==b\"WEBP\" else \"svg\" if raw.lstrip().startswith((b\"<svg\",b\"<?xml\")) else \"bin\"\n        Path(f\"image-{index}.{ext}\").write_bytes(raw)\n    print(\"Every returned image saved; complete response metadata retained\")\nsave_images(json.loads(Path(\"result.json\").read_text())[\"data\"])\nPY_RESULT\n",
            "label": "curl · exact creation/save all outputs",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n",
            "label": "Read existing owned assets",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Vaizdai",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "image_input_price": null,
          "image_output_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.32768",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.32768",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "gpt-image-1.5",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.32768",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.32768",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "request_estimate"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "gpt-image-1.5",
        "request_model_id": "gpt-image-1.5",
        "route_label": "Core"
      },
      {
        "canonical_model_id": "gpt-image-1.5",
        "request_model_id": "gpt-image-1.5",
        "route_label": "Ultra"
      }
    ],
    "name": "GPT Image 1.5",
    "price": {
      "estimate_only": true,
      "in": null,
      "in_label": null,
      "out": 0.32768,
      "out_label": "estimate before generation",
      "scope_label": "Estimated generation cost",
      "sort_in": null,
      "sort_out": 0.32768,
      "varies": false
    },
    "short": "GPT Image 1.5 kuria vaizdus pagal tekstinę užduotį, daug dėmesio skirdama išsamių nurodymų laikymuisi. Numatyti trys kadro formatai, keli kokybės lygiai ir rezultato failų formatai."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        },
        {
          "contract_json_pointer": "/methods/1/rawMethod/contract",
          "html_json_pointer": "/methods/1/html",
          "method_ordinal": 1
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod",
        "/methods/1/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "GPT Image 1.5 kuria vaizdus pagal tekstinę užduotį, daug dėmesio skirdama išsamių nurodymų laikymuisi. Numatyti trys kadro formatai, keli kokybės lygiai ir rezultato failų formatai.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
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