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  "aboutHtml": "<p>Gemini 2.5 Flash Preview 09-2025 je septembrová predbežná edícia hybridného modelu uvažovania spoločnosti Google. Jeho zdokumentovanými vstupmi sú text, obrázky, video a zvuk; výstupom je text. Model dokáže spojiť otázku s obrazovým alebo hovoreným materiálom a následne vytvoriť vysvetlenie, dokument, kód alebo štruktúrovanú odpoveď. Táto konkrétna datovaná edícia sa líši od stabilného Gemini 2.5 Flash aj od priebežne aktualizovaného aliasu latest. Jej účelom je multimodálne porozumenie a práca s pomocou nástrojov s písomným výsledkom.</p><p>Google pri tomto vydaní opisuje dve konkrétne zlepšenia: lepšie používanie nástrojov agentmi a úspornejšie generovanie odpovedí pri zapnutom uvažovaní. Prvé sa týka úloh, ktoré vyžadujú niekoľko prepojených činností, napríklad získanie informácií, ich porovnanie s požiadavkou a výber ďalšieho kroku. Druhé sa týka tvorby užitočných odpovedí s menším počtom vygenerovaných tokenov pri zachovaní kvality. Vývojovému asistentovi dodajte pozorované správanie, relevantný kód a kritérium úspešnej zmeny. Výskumnému asistentovi vymedzte otázku, materiál na preskúmanie a dôkazy potrebné pre záver.</p><p>Uvažovanie aj priama odpoveď sú súčasťou hybridného návrhu. Úloha s uvažovaním môže pred prípravou konečnej odpovede analyzovať závislosti, matematické podmienky alebo viackrokový plán. Jednoduchá extrakcia alebo krátke vysvetlenie môže mať jednoduchší cieľ odpovede. Uveďte, ktoré obmedzenia sú záväzné, čo smie model predpokladať a čo musí konečný výstup obsahovať. Karta rodiny modelov od výrobcu upozorňuje, že dodržiavanie rozpočtov na uvažovanie môže byť nekonzistentné, preto požadovaný rozpočet nie je dôkazom pevného stropu uvažovania. Tento opis nepripisuje septembrovej edícii úrovne ani predvolené nastavenia uvažovania novšieho modelu.</p><p>Presná tabuľka septembrového modelu uvádza najviac 1,048,576 vstupných tokenov a 65,536 výstupných tokenov. Jeho veľký vstupný profil dokáže v jednej úlohe obsiahnuť pokyny, príklady, referenčný text aj multimediálny kontext. Pri porovnávaní požiadaviek s navrhovaným riešením označte oba zdroje a dodajte spoločnú sústavu kritérií. Pri rozbore snímky obrazovky označte relevantný stav alebo komponent; pri zvukovej či videoúlohe pomenujte otázku alebo udalosť namiesto žiadosti o opis bez konkrétneho zamerania. Výsledkom zostáva text: natívna tvorba obrázkov, generovanie hlasu a hovorený dialóg v reálnom čase patria iným profilom modelov.</p><p>Google pre túto konkrétnu predbežnú edíciu dokumentuje volanie funkcií, vykonávanie kódu, podloženie odpovede vyhľadávaním, kontext URL a vyhľadávanie v súboroch. Pri volaní funkcie model vyberie deklarovanú funkciu a pripraví argumenty; pripojená aplikácia vykoná operáciu a vráti jej výsledok. Vykonávanie kódu používa vygenerovaný Python na výpočty alebo spracovanie textu. Podloženie vyhľadávaním dodáva webové materiály pre odpoveď opierajúcu sa o zdroje, zatiaľ čo kontext URL pracuje s obsahom určených prístupných stránok. Vyhľadávanie v súboroch poskytuje ďalšiu možnosť získavania zdrojov. Každému nástroju agenta určte jasný účel a pri každom kroku uveďte očakávané informácie, aby mohol postup pokračovať zo skutočne vráteného výsledku.</p><p>Podpora štruktúrovaného výstupu umožňuje používať konečný výstup ako súbor definovaných polí. Pri porovnaní požadujte kritérium, zodpovedajúcu zdrojovú pasáž, pozorovaný rozdiel a otázku, ktorú ešte treba objasniť. Pri úlohe s kódom oddeľte navrhovanú zmenu od jej vysvetlenia a kontrol, ktoré sú ešte potrebné. Presný profil modelu Google uvádza aj podporu ukladania kontextu do vyrovnávacej pamäte a dávkového spracovania. Opakovaný zdrojový materiál možno udržiavať konzistentný v súvisiacich úlohách; samotné cachovanie nepotvrdzuje, že konkrétna požiadavka znovu použila tokeny z vyrovnávacej pamäte. Z týchto názvov schopností nevyplývajú novšie kombinácie schém, prahové hodnoty cache ani súbežné režimy nástrojov.</p><p>Karta rodiny modelov opisuje riedky transformer typu mixture-of-experts s natívnym porozumením textu, obrazovým aj zvukovým údajom. Tréning kombinuje webový text, kód, obrázky, zvuk a video; následné dotrénovanie zahŕňa spárované multimodálne pokyny a odpovede, ľudské preferencie a údaje o používaní nástrojov. Pri príprave údajov sa uplatňuje deduplikácia a filtrovanie z hľadiska bezpečnosti a kvality. Presná stránka datovaného modelu uvádza január 2025 ako hranicu jeho znalostí. Otázky vyžadujúce novšie informácie majú určiť zdrojový materiál alebo vhodný krok vyhľadávania namiesto toho, aby trénovacie znalosti modelu považovali za živý informačný kanál.</p><p>Medzi podstatné obmedzenia patrí možné vymýšľanie faktov a ťažkosti s chápaním príčinnosti, zložitým logickým vyvodzovaním a kontrafaktuálnym uvažovaním. Karta rodiny tiež upozorňuje, že odpovede môžu mať niekedy zbytočne poučujúci tón. Pre užitočný výsledok požadujte, aby model rozlišoval fakty zo zdrojov, predpoklady a navrhované kroky, a následne skontrolujte časti rozhodujúce pre rozhodnutie. Úplný výstup agenta môže obsahovať zistenia, odôvodnený ďalší krok, informácie získané z nástrojov a každú nevyriešenú otázku. Dôraz septembrového vydania na používanie nástrojov pomáha vymedziť tento postup, zatiaľ čo pripravené vstupy a výslovné kritériá dokončenia ho udržiavajú previazaný s úlohou používateľa.</p>",
  "aboutText": "Gemini 2.5 Flash Preview 09-2025 je septembrová predbežná edícia hybridného modelu uvažovania spoločnosti Google. Jeho zdokumentovanými vstupmi sú text, obrázky, video a zvuk; výstupom je text. Model dokáže spojiť otázku s obrazovým alebo hovoreným materiálom a následne vytvoriť vysvetlenie, dokument, kód alebo štruktúrovanú odpoveď. Táto konkrétna datovaná edícia sa líši od stabilného Gemini 2.5 Flash aj od priebežne aktualizovaného aliasu latest. Jej účelom je multimodálne porozumenie a práca s pomocou nástrojov s písomným výsledkom.\n\nGoogle pri tomto vydaní opisuje dve konkrétne zlepšenia: lepšie používanie nástrojov agentmi a úspornejšie generovanie odpovedí pri zapnutom uvažovaní. Prvé sa týka úloh, ktoré vyžadujú niekoľko prepojených činností, napríklad získanie informácií, ich porovnanie s požiadavkou a výber ďalšieho kroku. Druhé sa týka tvorby užitočných odpovedí s menším počtom vygenerovaných tokenov pri zachovaní kvality. Vývojovému asistentovi dodajte pozorované správanie, relevantný kód a kritérium úspešnej zmeny. Výskumnému asistentovi vymedzte otázku, materiál na preskúmanie a dôkazy potrebné pre záver.\n\nUvažovanie aj priama odpoveď sú súčasťou hybridného návrhu. Úloha s uvažovaním môže pred prípravou konečnej odpovede analyzovať závislosti, matematické podmienky alebo viackrokový plán. Jednoduchá extrakcia alebo krátke vysvetlenie môže mať jednoduchší cieľ odpovede. Uveďte, ktoré obmedzenia sú záväzné, čo smie model predpokladať a čo musí konečný výstup obsahovať. Karta rodiny modelov od výrobcu upozorňuje, že dodržiavanie rozpočtov na uvažovanie môže byť nekonzistentné, preto požadovaný rozpočet nie je dôkazom pevného stropu uvažovania. Tento opis nepripisuje septembrovej edícii úrovne ani predvolené nastavenia uvažovania novšieho modelu.\n\nPresná tabuľka septembrového modelu uvádza najviac 1,048,576 vstupných tokenov a 65,536 výstupných tokenov. Jeho veľký vstupný profil dokáže v jednej úlohe obsiahnuť pokyny, príklady, referenčný text aj multimediálny kontext. Pri porovnávaní požiadaviek s navrhovaným riešením označte oba zdroje a dodajte spoločnú sústavu kritérií. Pri rozbore snímky obrazovky označte relevantný stav alebo komponent; pri zvukovej či videoúlohe pomenujte otázku alebo udalosť namiesto žiadosti o opis bez konkrétneho zamerania. Výsledkom zostáva text: natívna tvorba obrázkov, generovanie hlasu a hovorený dialóg v reálnom čase patria iným profilom modelov.\n\nGoogle pre túto konkrétnu predbežnú edíciu dokumentuje volanie funkcií, vykonávanie kódu, podloženie odpovede vyhľadávaním, kontext URL a vyhľadávanie v súboroch. Pri volaní funkcie model vyberie deklarovanú funkciu a pripraví argumenty; pripojená aplikácia vykoná operáciu a vráti jej výsledok. Vykonávanie kódu používa vygenerovaný Python na výpočty alebo spracovanie textu. Podloženie vyhľadávaním dodáva webové materiály pre odpoveď opierajúcu sa o zdroje, zatiaľ čo kontext URL pracuje s obsahom určených prístupných stránok. Vyhľadávanie v súboroch poskytuje ďalšiu možnosť získavania zdrojov. Každému nástroju agenta určte jasný účel a pri každom kroku uveďte očakávané informácie, aby mohol postup pokračovať zo skutočne vráteného výsledku.\n\nPodpora štruktúrovaného výstupu umožňuje používať konečný výstup ako súbor definovaných polí. Pri porovnaní požadujte kritérium, zodpovedajúcu zdrojovú pasáž, pozorovaný rozdiel a otázku, ktorú ešte treba objasniť. Pri úlohe s kódom oddeľte navrhovanú zmenu od jej vysvetlenia a kontrol, ktoré sú ešte potrebné. Presný profil modelu Google uvádza aj podporu ukladania kontextu do vyrovnávacej pamäte a dávkového spracovania. Opakovaný zdrojový materiál možno udržiavať konzistentný v súvisiacich úlohách; samotné cachovanie nepotvrdzuje, že konkrétna požiadavka znovu použila tokeny z vyrovnávacej pamäte. Z týchto názvov schopností nevyplývajú novšie kombinácie schém, prahové hodnoty cache ani súbežné režimy nástrojov.\n\nKarta rodiny modelov opisuje riedky transformer typu mixture-of-experts s natívnym porozumením textu, obrazovým aj zvukovým údajom. Tréning kombinuje webový text, kód, obrázky, zvuk a video; následné dotrénovanie zahŕňa spárované multimodálne pokyny a odpovede, ľudské preferencie a údaje o používaní nástrojov. Pri príprave údajov sa uplatňuje deduplikácia a filtrovanie z hľadiska bezpečnosti a kvality. Presná stránka datovaného modelu uvádza január 2025 ako hranicu jeho znalostí. Otázky vyžadujúce novšie informácie majú určiť zdrojový materiál alebo vhodný krok vyhľadávania namiesto toho, aby trénovacie znalosti modelu považovali za živý informačný kanál.\n\nMedzi podstatné obmedzenia patrí možné vymýšľanie faktov a ťažkosti s chápaním príčinnosti, zložitým logickým vyvodzovaním a kontrafaktuálnym uvažovaním. Karta rodiny tiež upozorňuje, že odpovede môžu mať niekedy zbytočne poučujúci tón. Pre užitočný výsledok požadujte, aby model rozlišoval fakty zo zdrojov, predpoklady a navrhované kroky, a následne skontrolujte časti rozhodujúce pre rozhodnutie. Úplný výstup agenta môže obsahovať zistenia, odôvodnený ďalší krok, informácie získané z nástrojov a každú nevyriešenú otázku. Dôraz septembrového vydania na používanie nástrojov pomáha vymedziť tento postup, zatiaľ čo pripravené vstupy a výslovné kritériá dokončenia ho udržiavajú previazaný s úlohou používateľa.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">G</span><h2 id=\"sheet-title\">gemini-2.5-flash-preview-09-2025</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Zavrieť\">×</button></div><div class=\"idline\"><span>Google /</span><code>gemini-2.5-flash-preview-09-2025</code><button type=\"button\" id=\"copy-id\">Skopírovať ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Sekcie karty modelu\"><button type=\"button\" data-card-jump=\"overview\">Úvod</button><button type=\"button\" data-card-jump=\"methods\">Vstupy a metódy</button><button type=\"button\" data-card-jump=\"pricing\">Cenník</button><button type=\"button\" data-card-jump=\"examples\">Príklady</button><button type=\"button\" data-card-jump=\"results\">Výsledky</button><button type=\"button\" data-card-jump=\"aliases\">Aliasy</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Metódy API\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|gemini-2.5-flash-preview-09-2025\">Chat</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|messages|/v1/messages|gemini-2.5-flash-preview-09-2025\">Messages</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\">Úvod</h3><p class=\"mdesc-full\">Gemini 2.5 Flash Preview 09-2025 je septembrová edícia spoločnosti Google pre multimodálnu analýzu a viackrokovú prácu s nástrojmi. Spája porozumenie textu, obrázkom, videu a zvuku s uvažovaním, štruktúrovanými odpoveďami a vstupným limitom 1,048,576 tokenov, s konkrétnymi zlepšeniami používania nástrojov agentmi.</p><dl class=\"card-io\" data-card-io><div><dt>Povolené vstupy</dt><dd>Text</dd></div><div><dt>Výsledky</dt><dd>Text</dd></div></dl><details class=\"card-about\"><summary>O modeli</summary><p class=\"note-s\" data-model-method-boundary>Tento opis pokrýva možnosti modelu. Dostupné vstupy, výstupy a voľby v Ailoot sú uvedené nižšie pre vybranú metódu.</p><div class=\"mabout\" id=\"m-about\"><p>Gemini 2.5 Flash Preview 09-2025 je septembrová predbežná edícia hybridného modelu uvažovania spoločnosti Google. Jeho zdokumentovanými vstupmi sú text, obrázky, video a zvuk; výstupom je text. Model dokáže spojiť otázku s obrazovým alebo hovoreným materiálom a následne vytvoriť vysvetlenie, dokument, kód alebo štruktúrovanú odpoveď. Táto konkrétna datovaná edícia sa líši od stabilného Gemini 2.5 Flash aj od priebežne aktualizovaného aliasu latest. Jej účelom je multimodálne porozumenie a práca s pomocou nástrojov s písomným výsledkom.</p><p>Google pri tomto vydaní opisuje dve konkrétne zlepšenia: lepšie používanie nástrojov agentmi a úspornejšie generovanie odpovedí pri zapnutom uvažovaní. Prvé sa týka úloh, ktoré vyžadujú niekoľko prepojených činností, napríklad získanie informácií, ich porovnanie s požiadavkou a výber ďalšieho kroku. Druhé sa týka tvorby užitočných odpovedí s menším počtom vygenerovaných tokenov pri zachovaní kvality. Vývojovému asistentovi dodajte pozorované správanie, relevantný kód a kritérium úspešnej zmeny. Výskumnému asistentovi vymedzte otázku, materiál na preskúmanie a dôkazy potrebné pre záver.</p><p>Uvažovanie aj priama odpoveď sú súčasťou hybridného návrhu. Úloha s uvažovaním môže pred prípravou konečnej odpovede analyzovať závislosti, matematické podmienky alebo viackrokový plán. Jednoduchá extrakcia alebo krátke vysvetlenie môže mať jednoduchší cieľ odpovede. Uveďte, ktoré obmedzenia sú záväzné, čo smie model predpokladať a čo musí konečný výstup obsahovať. Karta rodiny modelov od výrobcu upozorňuje, že dodržiavanie rozpočtov na uvažovanie môže byť nekonzistentné, preto požadovaný rozpočet nie je dôkazom pevného stropu uvažovania. Tento opis nepripisuje septembrovej edícii úrovne ani predvolené nastavenia uvažovania novšieho modelu.</p><p>Presná tabuľka septembrového modelu uvádza najviac 1,048,576 vstupných tokenov a 65,536 výstupných tokenov. Jeho veľký vstupný profil dokáže v jednej úlohe obsiahnuť pokyny, príklady, referenčný text aj multimediálny kontext. Pri porovnávaní požiadaviek s navrhovaným riešením označte oba zdroje a dodajte spoločnú sústavu kritérií. Pri rozbore snímky obrazovky označte relevantný stav alebo komponent; pri zvukovej či videoúlohe pomenujte otázku alebo udalosť namiesto žiadosti o opis bez konkrétneho zamerania. Výsledkom zostáva text: natívna tvorba obrázkov, generovanie hlasu a hovorený dialóg v reálnom čase patria iným profilom modelov.</p><p>Google pre túto konkrétnu predbežnú edíciu dokumentuje volanie funkcií, vykonávanie kódu, podloženie odpovede vyhľadávaním, kontext URL a vyhľadávanie v súboroch. Pri volaní funkcie model vyberie deklarovanú funkciu a pripraví argumenty; pripojená aplikácia vykoná operáciu a vráti jej výsledok. Vykonávanie kódu používa vygenerovaný Python na výpočty alebo spracovanie textu. Podloženie vyhľadávaním dodáva webové materiály pre odpoveď opierajúcu sa o zdroje, zatiaľ čo kontext URL pracuje s obsahom určených prístupných stránok. Vyhľadávanie v súboroch poskytuje ďalšiu možnosť získavania zdrojov. Každému nástroju agenta určte jasný účel a pri každom kroku uveďte očakávané informácie, aby mohol postup pokračovať zo skutočne vráteného výsledku.</p><p>Podpora štruktúrovaného výstupu umožňuje používať konečný výstup ako súbor definovaných polí. Pri porovnaní požadujte kritérium, zodpovedajúcu zdrojovú pasáž, pozorovaný rozdiel a otázku, ktorú ešte treba objasniť. Pri úlohe s kódom oddeľte navrhovanú zmenu od jej vysvetlenia a kontrol, ktoré sú ešte potrebné. Presný profil modelu Google uvádza aj podporu ukladania kontextu do vyrovnávacej pamäte a dávkového spracovania. Opakovaný zdrojový materiál možno udržiavať konzistentný v súvisiacich úlohách; samotné cachovanie nepotvrdzuje, že konkrétna požiadavka znovu použila tokeny z vyrovnávacej pamäte. Z týchto názvov schopností nevyplývajú novšie kombinácie schém, prahové hodnoty cache ani súbežné režimy nástrojov.</p><p>Karta rodiny modelov opisuje riedky transformer typu mixture-of-experts s natívnym porozumením textu, obrazovým aj zvukovým údajom. Tréning kombinuje webový text, kód, obrázky, zvuk a video; následné dotrénovanie zahŕňa spárované multimodálne pokyny a odpovede, ľudské preferencie a údaje o používaní nástrojov. Pri príprave údajov sa uplatňuje deduplikácia a filtrovanie z hľadiska bezpečnosti a kvality. Presná stránka datovaného modelu uvádza január 2025 ako hranicu jeho znalostí. Otázky vyžadujúce novšie informácie majú určiť zdrojový materiál alebo vhodný krok vyhľadávania namiesto toho, aby trénovacie znalosti modelu považovali za živý informačný kanál.</p><p>Medzi podstatné obmedzenia patrí možné vymýšľanie faktov a ťažkosti s chápaním príčinnosti, zložitým logickým vyvodzovaním a kontrafaktuálnym uvažovaním. Karta rodiny tiež upozorňuje, že odpovede môžu mať niekedy zbytočne poučujúci tón. Pre užitočný výsledok požadujte, aby model rozlišoval fakty zo zdrojov, predpoklady a navrhované kroky, a následne skontrolujte časti rozhodujúce pre rozhodnutie. Úplný výstup agenta môže obsahovať zistenia, odôvodnený ďalší krok, informácie získané z nástrojov a každú nevyriešenú otázku. Dôraz septembrového vydania na používanie nástrojov pomáha vymedziť tento postup, zatiaľ čo pripravené vstupy a výslovné kritériá dokončenia ho udržiavajú previazaný s úlohou používateľa.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Dostupné v Ailoot · vstupy a metódy</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · OpenAI Chat</b> <code>POST /v1/chat/completions</code></summary><dl class=\"method-capabilities\"><div><dt>Vstup</dt><dd><code>text</code></dd></div><div><dt>Výstup</dt><dd><code>text</code></dd></div><div><dt>Výstupný formát</dt><dd>json alebo SSE</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Pole</th><th>Typ</th><th>Požiadavka</th><th>Hodnoty a limity</th><th>Predvolené</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>gemini-2.5-flash-preview-09-2025</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>message[]</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Minimálny počet položiek: 1</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].role</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Príklady: system, user, assistant, tool, function</div><div>Podmienky: Tieto roly sú výslovne zastúpené typmi kompatibility v zdrojovom kóde; presný súbor rolí zostáva závislý od modelu.</div><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].content</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string|content_part[]|null</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].tool_calls</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>tool_call[]</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].tool_call_id</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Platí, keď: role=tool; použite skutočne vrátené ID</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].name</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].reasoning_content</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Platí, keď: Posielajte späť skutočne vrátené uvažovanie, ak ho tento model používa</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].reasoning_details</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>object|array</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>integer</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Minimum: 1</div><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">max_completion_tokens</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>integer</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Minimum: 1</div><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>boolean</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"known\"><span class=\"card-cell-label\">Predvolené</span>false</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">stream_options.include_usage</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>boolean</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">temperature</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>number</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">top_p</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>number</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">stop</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string|string[]</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">tools</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>function_tool[]</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">tools[].type</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>function</div><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">tools[].function.name</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Platí, keď: poskytnutý nástroj typu funkcia</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">tools[].function.description</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">tools[].function.parameters</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>JSON_schema</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">tool_choice</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string|object</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">parallel_tool_calls</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>boolean</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">response_format</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>object</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">reasoning_effort</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">reasoning</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>object</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">service_tier</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_compatibility\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">instructions</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Pole kompatibility</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">functions</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>function[]</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">function_call</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string|object</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"model_dependent\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">prompt_cache_options</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>object</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div class=\"note-s\">Závisí od modelu</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">modalities</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string[]</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>text</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>object</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Podmienky: provider.options sa na tejto textovej trase Ultra odmieta</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">cache_control.ttl</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>Podmienky: Hodnota 1h sa v skutočne používaných poliach cache promptov odmieta</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Kombinácie vstupných podkladov</summary><p class=\"note-s\"><b>Text</b> · Text UTF8</p><p class=\"note-s\"><code>messages[].content</code></p></details><details class=\"note-s\" data-method-contract><summary>Parametre a životný cyklus metódy</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Špecifikácia</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>model, messages</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>text</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>messages</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>pole správ so štruktúrou role/content</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>file_material</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>skutočný dokument UTF-8 vložený ako doslovný text; ID súboru sa neodvodzuje</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional_controls</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>stream, temperature, top_p, stop, max_tokens, max_completion_tokens, reasoning, response_format, tools, tool_choice</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>control_scope</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>závisí od modelu; používateľské nástroje typu funkcia sa líšia od nástrojov prevádzkovaných službou</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>output_modalities</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>text</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>hosted_operations</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>false</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>multimodal_input_binding</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>null</td></tr></tbody></table></div><p>Životný cyklus: <code>synchronous_or_streamed</code></p><p class=\"note-s\">Pošlite presné ID modelu spolu s messages.</p><p class=\"note-s\">Dĺžka kontextu nie je horná hranica výstupu.</p><p class=\"note-s\">Textový súbor môže poskytnúť doslovný text; obrazové a zvukové vstupy a vstupy so súborovými objektmi potrebujú presné naviazanie.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Cenník</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarifné údaje nepridávajú možnosti požiadavky. Podporované parametre sú uvedené pri vybranej metóde.</p><dl data-price-conditions><dt>Rýchly režim</dt><dd>Neuvedené <span class=\"note-s\">Keď je zvolený rýchly režim</span></dd><dt>Režim Flex</dt><dd>Neuvedené <span class=\"note-s\">Keď je zvolený režim flex</span></dd><dt>Maximálna úroveň uvažovania</dt><dd>Neuvedené <span class=\"note-s\">Keď sa pri maximálnej úrovni uvažovania používa predvolená úprava (default)</span></dd><dt>Ceny explicitnej cache</dt><dd>Nie je zapnuté <span class=\"note-s\">Keď sa požaduje explicitná cache</span></dd></dl></div><div data-declared-tariff-pricing><h4>Sadzby Ailoot</h4><h4>Ceny podľa konfigurácie</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurácia</th><th>Sadzobník</th><th>Poplatok</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurácia\" scope=\"row\"><span class=\"card-cell-label\">Konfigurácia</span>Základné sadzby za tokeny</th><td data-cell-label=\"Sadzobník\"><span class=\"card-cell-label\">Sadzobník</span>Základná sadzba</td><td data-cell-label=\"Poplatok\"><span class=\"card-cell-label\">Poplatok</span><div><span>Vstup · Vstupné tokeny</span> <b>$0.0006</b> <span class=\"price-unit\">/ 1K tokenov</span></div><div><span>Výstup · Výstupné tokeny</span> <b>$0.005</b> <span class=\"price-unit\">/ 1K tokenov</span></div><div><span>Vstup · Čítanie cache</span> <b>$0</b> <span class=\"price-unit\">/ 1K tokenov</span></div><div><span>Vstup · Zápis do cache</span> <b>$0</b> <span class=\"price-unit\">/ 1K tokenov</span></div><div><span>Vstup · Zápis do cache, 1 hod</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenov</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot pred požiadavkou rezervuje odhadovanú sumu. Po získaní výsledku vyúčtuje konečný poplatok podľa nameraného využitia. Pri streamovaní sa vyúčtovanie riadi konečným záznamom využitia. <a href=\"/docs/sk/billing/reserve/\">Ako funguje rezervácia a vyúčtovanie →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Príklady požiadaviek</h3><h4>Ailoot Ultra · OpenAI Chat</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Varianty kódu\"><button class=\"cg-tab\" id=\"model-code-1375-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1375-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl</button><button class=\"cg-tab\" id=\"model-code-1375-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1375-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Python SDK</button><button class=\"cg-tab\" id=\"model-code-1375-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1375-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Streamovanie v jazyku Python</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Skopírovať kód\"><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-1375-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1375-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;gemini-2.5-flash-preview-09-2025&quot;, &quot;messages&quot;: [{&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Explain the difference between an observation and a hypothesis in three sentences.&quot;}]}&#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/chat/completions \\\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 json\nfrom pathlib import Path\nr=json.loads(Path(&quot;result.json&quot;).read_text())\nfor x in r.get(&quot;choices&quot;,[]):\n    if x.get(&quot;message&quot;,{}).get(&quot;content&quot;): print(x[&quot;message&quot;][&quot;content&quot;])\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1375-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1375-tab-1\" hidden><pre data-lang=\"python\"><code>from openai import OpenAI\nimport os\n\nif not os.environ.get(&quot;AILOOT_API_KEY&quot;, &quot;&quot;).strip(): raise SystemExit(&quot;Set AILOOT_API_KEY before making a request&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.chat.completions.create(model=&#39;gemini-2.5-flash-preview-09-2025&#39;,messages=[{&quot;role&quot;:&quot;user&quot;,&quot;content&quot;:&quot;Explain observations and hypotheses in three sentences.&quot;}])\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=&quot;result&quot;):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + &quot;.json&quot;).write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=&quot;utf-8&quot;)\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b&quot;-_&quot;, validate=True)\n        ext = &quot;png&quot; if raw.startswith(b&quot;\\x89PNG\\r\\n\\x1a\\n&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 suffix\n        file = Path(stem + &quot;-&quot; + label + &quot;.&quot; + ext)\n        file.write_bytes(raw)\n        print(&quot;Saved&quot;, file)\n    for index, block in enumerate(data.get(&quot;content&quot;) or []):\n        print(&quot;Content&quot;, index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(&quot;choices&quot;) or []:\n        print(&quot;Choice&quot;, choice.get(&quot;index&quot;), json.dumps(choice.get(&quot;message&quot;, choice.get(&quot;delta&quot;, {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(&quot;output&quot;) or []):\n        print(&quot;Output&quot;, index, json.dumps(item, ensure_ascii=False))\n        if item.get(&quot;type&quot;) == &quot;image_generation_call&quot; and item.get(&quot;result&quot;):\n            save_blob(item[&quot;result&quot;], item.get(&quot;output_format&quot;) or &quot;bin&quot;, &quot;output-&quot; + str(index))\n    for ci, candidate in enumerate(data.get(&quot;candidates&quot;) or []):\n        for pi, part in enumerate((candidate.get(&quot;content&quot;) or {}).get(&quot;parts&quot;) or []):\n            print(&quot;Candidate/part&quot;, ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(&quot;inlineData&quot;) or part.get(&quot;inline_data&quot;)\n            if blob and blob.get(&quot;data&quot;):\n                mime = blob.get(&quot;mimeType&quot;) or blob.get(&quot;mime_type&quot;)\n                suffix = {&quot;image/png&quot;:&quot;png&quot;, &quot;image/jpeg&quot;:&quot;jpg&quot;, &quot;image/webp&quot;:&quot;webp&quot;, &quot;audio/wav&quot;:&quot;wav&quot;, &quot;audio/mpeg&quot;:&quot;mp3&quot;, &quot;video/mp4&quot;:&quot;mp4&quot;}.get(mime, &quot;bin&quot;)\n                save_blob(blob[&quot;data&quot;], suffix, &quot;candidate-&quot; + str(ci) + &quot;-part-&quot; + str(pi))\n\nsave_result(result.to_dict(mode=&quot;json&quot;))\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1375-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1375-tab-2\" hidden><pre data-lang=\"python\"><code>from openai import OpenAI\nimport os\nfrom pathlib import Path\n\nif not os.environ.get(&quot;AILOOT_API_KEY&quot;, &quot;&quot;).strip(): raise SystemExit(&quot;Set AILOOT_API_KEY before making a request&quot;)\nclient=OpenAI(base_url=&quot;https://api.ailoot.ai/v1&quot;,api_key=os.environ[&quot;AILOOT_API_KEY&quot;],max_retries=0)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=&quot;result&quot;):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + &quot;.json&quot;).write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=&quot;utf-8&quot;)\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b&quot;-_&quot;, validate=True)\n        ext = &quot;png&quot; if raw.startswith(b&quot;\\x89PNG\\r\\n\\x1a\\n&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 suffix\n        file = Path(stem + &quot;-&quot; + label + &quot;.&quot; + ext)\n        file.write_bytes(raw)\n        print(&quot;Saved&quot;, file)\n    for index, block in enumerate(data.get(&quot;content&quot;) or []):\n        print(&quot;Content&quot;, index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(&quot;choices&quot;) or []:\n        print(&quot;Choice&quot;, choice.get(&quot;index&quot;), json.dumps(choice.get(&quot;message&quot;, choice.get(&quot;delta&quot;, {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(&quot;output&quot;) or []):\n        print(&quot;Output&quot;, index, json.dumps(item, ensure_ascii=False))\n        if item.get(&quot;type&quot;) == &quot;image_generation_call&quot; and item.get(&quot;result&quot;):\n            save_blob(item[&quot;result&quot;], item.get(&quot;output_format&quot;) or &quot;bin&quot;, &quot;output-&quot; + str(index))\n    for ci, candidate in enumerate(data.get(&quot;candidates&quot;) or []):\n        for pi, part in enumerate((candidate.get(&quot;content&quot;) or {}).get(&quot;parts&quot;) or []):\n            print(&quot;Candidate/part&quot;, ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(&quot;inlineData&quot;) or part.get(&quot;inline_data&quot;)\n            if blob and blob.get(&quot;data&quot;):\n                mime = blob.get(&quot;mimeType&quot;) or blob.get(&quot;mime_type&quot;)\n                suffix = {&quot;image/png&quot;:&quot;png&quot;, &quot;image/jpeg&quot;:&quot;jpg&quot;, &quot;image/webp&quot;:&quot;webp&quot;, &quot;audio/wav&quot;:&quot;wav&quot;, &quot;audio/mpeg&quot;:&quot;mp3&quot;, &quot;video/mp4&quot;:&quot;mp4&quot;}.get(mime, &quot;bin&quot;)\n                save_blob(blob[&quot;data&quot;], suffix, &quot;candidate-&quot; + str(ci) + &quot;-part-&quot; + str(pi))\n\nwith client.chat.completions.stream(model=&#39;gemini-2.5-flash-preview-09-2025&#39;,messages=[{&quot;role&quot;:&quot;user&quot;,&quot;content&quot;:&quot;Explain observations and hypotheses in three sentences.&quot;}]) as stream:\n    with Path(&quot;stream-events.jsonl&quot;).open(&quot;w&quot;,encoding=&quot;utf-8&quot;) as log:\n        for event in stream:\n            payload=event.to_dict(mode=&quot;json&quot;)\n            log.write(json.dumps(payload,ensure_ascii=False)+&quot;\\n&quot;); log.flush()\n            print(json.dumps(payload,ensure_ascii=False))\n    final=stream.get_final_completion()\n    save_result(final.to_dict(mode=&quot;json&quot;),&quot;stream-result&quot;)\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Prijať a uložiť výsledky</h3><h4>Ailoot Ultra · OpenAI Chat</h4><p class=\"note-s\">json alebo SSE</p><div class=\"card-result-process\" data-all-results><h5>Uchovať všetky dokončené výsledky</h5><p class=\"note-s\">Uložte každú úplnú vrátenú odpoveď, súbor a časť obsahu.</p><p class=\"note-s\">Zachovajte každý variant odpovede a jeho obsah, volania nástrojov a uvažovanie. V SSE zostavujte čiastkové zmeny podľa indexu variantu/nástroja a zachovajte konečný dôvod ukončenia aj údaje o spotrebe.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Ak treba overiť pôvodnú odpoveď</h5><p class=\"note-s\">Zachovajte ID požiadaviek/odpovedí aj hlavičky. Všeobecná URL na načítanie textovej úlohy nie je poskytnutá.</p></div><details class=\"card-about\" data-output-fields><summary>Polia odpovede</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Pole</th><th>Typ</th></tr></thead><tbody><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">choices[].index</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>integer</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">choices[].message.content</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>string|null</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">choices[].message.tool_calls</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>tool_call[]</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">choices[].message.reasoning_content</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>string</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">choices[].message.reasoning_details</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>object|array</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">choices[].finish_reason</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>string|null</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>object</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Chyby a ďalšie kroky</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Odpoveď</th><th>Podmienka</th><th>Ďalší krok</th></tr></thead><tbody><tr><th data-cell-label=\"Odpoveď\" scope=\"row\"><span class=\"card-cell-label\">Odpoveď</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Podmienka\"><span class=\"card-cell-label\">Podmienka</span>Neplatné povinné polia, reprezentácia materiálu alebo hodnota parametra</td><td data-cell-label=\"Ďalší krok\"><span class=\"card-cell-label\">Ďalší krok</span>Pred novou požiadavkou na vytvorenie opravte uvedené polia.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Aliasy</h3><h4>Aliasy modelov</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=gemini-2.5-flash-preview-09-2025&amp;route=Ultra&amp;caller=gemini-2.5-flash-preview-09-2025&amp;fmt=chat\"><code>gemini-2.5-flash-preview-09-2025</code></a></span></p><h4>Aliasy ciest metód</h4><p class=\"note-s\">Použite cesty metód uvedené vyššie.</p><h4>Súvisiace ID na volanie</h4><p class=\"note-s\"><a href=\"#m=gemini-2.5-flash-preview-09-2025&amp;route=Ultra&amp;caller=gemini-2.5-flash-preview-09-2025&amp;fmt=chat\"><code>gemini-2.5-flash-preview-09-2025</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "gemini-2.5-flash-preview-09-2025",
        "fmt": "chat",
        "http": "POST",
        "path": "/v1/chat/completions",
        "request_model_id": "gemini-2.5-flash-preview-09-2025",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|chat|/v1/chat/completions|gemini-2.5-flash-preview-09-2025",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": 0,
        "cache_write": 0,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "Neplatné povinné polia, reprezentácia materiálu alebo hodnota parametra",
                "http_status": 400,
                "recovery": "Pred novou požiadavkou na vytvorenie opravte uvedené polia.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [
              "Model context is not an output cap.",
              "A model-dependent field needs the exact published model profile; unspecified defaults/enums are not guessed.",
              "Tool calls propose actions; the client application returns actual observations with the returned call ID.",
              "Guarded canonical keys must occur once; duplicate or case-varied model/tools/cap fields are rejected."
            ],
            "ignored_fields": [],
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "Zachovajte ID požiadaviek/odpovedí aj hlavičky. Všeobecná URL na načítanie textovej úlohy nie je poskytnutá."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "messages[].content",
                "required_material": "Text UTF8"
              }
            ],
            "operation_modes": [
              "conversation",
              "function_tool_continuation",
              "streaming"
            ],
            "outputs": {
              "all_results": "Zachovajte každý variant odpovede a jeho obsah, volania nástrojov a uvažovanie. V SSE zostavujte čiastkové zmeny podľa indexu variantu/nástroja a zachovajte konečný dôvod ukončenia aj údaje o spotrebe.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "choices[].index",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "choices[].message.content",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "choices[].message.tool_calls",
                  "type": "tool_call[]"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_content",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_details",
                  "type": "object|array"
                },
                {
                  "description": null,
                  "name": "choices[].finish_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "json alebo SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "gemini-2.5-flash-preview-09-2025"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_items": 1,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "model_dependent",
                "conditions": "Tieto roly sú výslovne zastúpené typmi kompatibility v zdrojovom kóde; presný súbor rolí zostáva závislý od modelu.",
                "default": null,
                "default_known": false,
                "enum": [
                  "system",
                  "user",
                  "assistant",
                  "tool",
                  "function"
                ],
                "enum_exhaustive": false,
                "enum_known": true,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": false,
                "type": "string|content_part[]|null"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].tool_calls",
                "required": false,
                "type": "tool_call[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].tool_call_id",
                "required": false,
                "type": "string",
                "when": "role=tool; použite skutočne vrátené ID"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].name",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].reasoning_content",
                "required": false,
                "type": "string",
                "when": "Posielajte späť skutočne vrátené uvažovanie, ak ho tento model používa"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].reasoning_details",
                "required": false,
                "type": "object|array"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "max_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "max_completion_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "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": "stream_options.include_usage",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "stop",
                "required": false,
                "type": "string|string[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools",
                "required": false,
                "type": "function_tool[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": [
                  "function"
                ],
                "enum_known": true,
                "name": "tools[].type",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.name",
                "required": true,
                "type": "string",
                "when": "poskytnutý nástroj typu funkcia"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.description",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.parameters",
                "required": false,
                "type": "JSON_schema"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tool_choice",
                "required": false,
                "type": "string|object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "parallel_tool_calls",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "response_format",
                "required": false,
                "type": "object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "reasoning_effort",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "reasoning",
                "required": false,
                "type": "object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "service_tier",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_compatibility",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "instructions",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "functions",
                "required": false,
                "type": "function[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "function_call",
                "required": false,
                "type": "string|object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "prompt_cache_options",
                "required": false,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "text"
                ],
                "enum_known": true,
                "name": "modalities",
                "required": false,
                "type": "string[]"
              },
              {
                "availability": "source_interface",
                "conditions": "provider.options sa na tejto textovej trase Ultra odmieta",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "conditions": "Hodnota 1h sa v skutočne používaných poliach cache promptov odmieta",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "cache_control.ttl",
                "required": false,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "additional models/models list",
              "plugins",
              "route",
              "hosted tools; ordinary client function tools remain separate",
              "non-text output modalities",
              "provider.options overrides",
              "one-hour prompt-cache TTL"
            ]
          },
          "hints": [
            "Pošlite presné ID modelu spolu s messages.",
            "Dĺžka kontextu nie je horná hranica výstupu.",
            "Textový súbor môže poskytnúť doslovný text; obrazové a zvukové vstupy a vstupy so súborovými objektmi potrebujú presné naviazanie."
          ],
          "input": {
            "content_type": "application/json",
            "control_scope": "závisí od modelu; používateľské nástroje typu funkcia sa líšia od nástrojov prevádzkovaných službou",
            "file_material": "skutočný dokument UTF-8 vložený ako doslovný text; ID súboru sa neodvodzuje",
            "hosted_operations": false,
            "material_types": [
              "text"
            ],
            "messages": "pole správ so štruktúrou role/content",
            "multimodal_input_binding": null,
            "optional_controls": [
              "stream",
              "temperature",
              "top_p",
              "stop",
              "max_tokens",
              "max_completion_tokens",
              "reasoning",
              "response_format",
              "tools",
              "tool_choice"
            ],
            "output_modalities": [
              "text"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "mode": "synchronous_or_streamed",
            "unknown": "preserve original request id; no generic chat job retrieval path"
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_chat"
          ],
          "output": {
            "content": "choices[].message.content or stream delta",
            "family": "text",
            "format": "json or supported SSE",
            "tool_calls": "retain actual returned function calls"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Základné sadzby za tokeny",
            "units": [
              {
                "amount": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000005",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "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": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"gemini-2.5-flash-preview-09-2025\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain the difference between an observation and a hypothesis in three sentences.\"}]}')\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/chat/completions \\\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 json\nfrom pathlib import Path\nr=json.loads(Path(\"result.json\").read_text())\nfor x in r.get(\"choices\",[]):\n    if x.get(\"message\",{}).get(\"content\"): print(x[\"message\"][\"content\"])\nPY_RESULT\n",
            "label": "curl · retained exact creation",
            "language": "bash"
          },
          {
            "code": "from openai import OpenAI\nimport os\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.chat.completions.create(model='gemini-2.5-flash-preview-09-2025',messages=[{\"role\":\"user\",\"content\":\"Explain observations and hypotheses in three sentences.\"}])\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nsave_result(result.to_dict(mode=\"json\"))\n",
            "label": "Python SDK · all choices",
            "language": "python"
          },
          {
            "code": "from openai import OpenAI\nimport os\nfrom pathlib import Path\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nwith client.chat.completions.stream(model='gemini-2.5-flash-preview-09-2025',messages=[{\"role\":\"user\",\"content\":\"Explain observations and hypotheses in three sentences.\"}]) as stream:\n    with Path(\"stream-events.jsonl\").open(\"w\",encoding=\"utf-8\") as log:\n        for event in stream:\n            payload=event.to_dict(mode=\"json\")\n            log.write(json.dumps(payload,ensure_ascii=False)+\"\\n\"); log.flush()\n            print(json.dumps(payload,ensure_ascii=False))\n    final=stream.get_final_completion()\n    save_result(final.to_dict(mode=\"json\"),\"stream-result\")\n",
            "label": "Python SDK streaming · all events",
            "language": "python"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "in": 0.6,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": 5,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "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"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000005",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "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": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "gemini-2.5-flash-preview-09-2025",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.0006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000006",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.000005",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "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": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    },
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">G</span><h2 id=\"sheet-title\">gemini-2.5-flash-preview-09-2025</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Zavrieť\">×</button></div><div class=\"idline\"><span>Google /</span><code>gemini-2.5-flash-preview-09-2025</code><button type=\"button\" id=\"copy-id\">Skopírovať ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Sekcie karty modelu\"><button type=\"button\" data-card-jump=\"overview\">Úvod</button><button type=\"button\" data-card-jump=\"methods\">Vstupy a metódy</button><button type=\"button\" data-card-jump=\"pricing\">Cenník</button><button type=\"button\" data-card-jump=\"examples\">Príklady</button><button type=\"button\" data-card-jump=\"results\">Výsledky</button><button type=\"button\" data-card-jump=\"aliases\">Aliasy</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Metódy API\"><button type=\"button\" role=\"tab\" tabindex=\"-1\" aria-controls=\"card-method-content\" aria-selected=\"false\" id=\"card-method-tab-0\" data-card-method=\"Ultra|chat|/v1/chat/completions|gemini-2.5-flash-preview-09-2025\">Chat</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|messages|/v1/messages|gemini-2.5-flash-preview-09-2025\">Messages</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\">Úvod</h3><p class=\"mdesc-full\">Gemini 2.5 Flash Preview 09-2025 je septembrová edícia spoločnosti Google pre multimodálnu analýzu a viackrokovú prácu s nástrojmi. Spája porozumenie textu, obrázkom, videu a zvuku s uvažovaním, štruktúrovanými odpoveďami a vstupným limitom 1,048,576 tokenov, s konkrétnymi zlepšeniami používania nástrojov agentmi.</p><dl class=\"card-io\" data-card-io><div><dt>Povolené vstupy</dt><dd>Text</dd></div><div><dt>Výsledky</dt><dd>json · sse</dd></div></dl><details class=\"card-about\"><summary>O modeli</summary><p class=\"note-s\" data-model-method-boundary>Tento opis pokrýva možnosti modelu. Dostupné vstupy, výstupy a voľby v Ailoot sú uvedené nižšie pre vybranú metódu.</p><div class=\"mabout\" id=\"m-about\"><p>Gemini 2.5 Flash Preview 09-2025 je septembrová predbežná edícia hybridného modelu uvažovania spoločnosti Google. Jeho zdokumentovanými vstupmi sú text, obrázky, video a zvuk; výstupom je text. Model dokáže spojiť otázku s obrazovým alebo hovoreným materiálom a následne vytvoriť vysvetlenie, dokument, kód alebo štruktúrovanú odpoveď. Táto konkrétna datovaná edícia sa líši od stabilného Gemini 2.5 Flash aj od priebežne aktualizovaného aliasu latest. Jej účelom je multimodálne porozumenie a práca s pomocou nástrojov s písomným výsledkom.</p><p>Google pri tomto vydaní opisuje dve konkrétne zlepšenia: lepšie používanie nástrojov agentmi a úspornejšie generovanie odpovedí pri zapnutom uvažovaní. Prvé sa týka úloh, ktoré vyžadujú niekoľko prepojených činností, napríklad získanie informácií, ich porovnanie s požiadavkou a výber ďalšieho kroku. Druhé sa týka tvorby užitočných odpovedí s menším počtom vygenerovaných tokenov pri zachovaní kvality. Vývojovému asistentovi dodajte pozorované správanie, relevantný kód a kritérium úspešnej zmeny. Výskumnému asistentovi vymedzte otázku, materiál na preskúmanie a dôkazy potrebné pre záver.</p><p>Uvažovanie aj priama odpoveď sú súčasťou hybridného návrhu. Úloha s uvažovaním môže pred prípravou konečnej odpovede analyzovať závislosti, matematické podmienky alebo viackrokový plán. Jednoduchá extrakcia alebo krátke vysvetlenie môže mať jednoduchší cieľ odpovede. Uveďte, ktoré obmedzenia sú záväzné, čo smie model predpokladať a čo musí konečný výstup obsahovať. Karta rodiny modelov od výrobcu upozorňuje, že dodržiavanie rozpočtov na uvažovanie môže byť nekonzistentné, preto požadovaný rozpočet nie je dôkazom pevného stropu uvažovania. Tento opis nepripisuje septembrovej edícii úrovne ani predvolené nastavenia uvažovania novšieho modelu.</p><p>Presná tabuľka septembrového modelu uvádza najviac 1,048,576 vstupných tokenov a 65,536 výstupných tokenov. Jeho veľký vstupný profil dokáže v jednej úlohe obsiahnuť pokyny, príklady, referenčný text aj multimediálny kontext. Pri porovnávaní požiadaviek s navrhovaným riešením označte oba zdroje a dodajte spoločnú sústavu kritérií. Pri rozbore snímky obrazovky označte relevantný stav alebo komponent; pri zvukovej či videoúlohe pomenujte otázku alebo udalosť namiesto žiadosti o opis bez konkrétneho zamerania. Výsledkom zostáva text: natívna tvorba obrázkov, generovanie hlasu a hovorený dialóg v reálnom čase patria iným profilom modelov.</p><p>Google pre túto konkrétnu predbežnú edíciu dokumentuje volanie funkcií, vykonávanie kódu, podloženie odpovede vyhľadávaním, kontext URL a vyhľadávanie v súboroch. Pri volaní funkcie model vyberie deklarovanú funkciu a pripraví argumenty; pripojená aplikácia vykoná operáciu a vráti jej výsledok. Vykonávanie kódu používa vygenerovaný Python na výpočty alebo spracovanie textu. Podloženie vyhľadávaním dodáva webové materiály pre odpoveď opierajúcu sa o zdroje, zatiaľ čo kontext URL pracuje s obsahom určených prístupných stránok. Vyhľadávanie v súboroch poskytuje ďalšiu možnosť získavania zdrojov. Každému nástroju agenta určte jasný účel a pri každom kroku uveďte očakávané informácie, aby mohol postup pokračovať zo skutočne vráteného výsledku.</p><p>Podpora štruktúrovaného výstupu umožňuje používať konečný výstup ako súbor definovaných polí. Pri porovnaní požadujte kritérium, zodpovedajúcu zdrojovú pasáž, pozorovaný rozdiel a otázku, ktorú ešte treba objasniť. Pri úlohe s kódom oddeľte navrhovanú zmenu od jej vysvetlenia a kontrol, ktoré sú ešte potrebné. Presný profil modelu Google uvádza aj podporu ukladania kontextu do vyrovnávacej pamäte a dávkového spracovania. Opakovaný zdrojový materiál možno udržiavať konzistentný v súvisiacich úlohách; samotné cachovanie nepotvrdzuje, že konkrétna požiadavka znovu použila tokeny z vyrovnávacej pamäte. Z týchto názvov schopností nevyplývajú novšie kombinácie schém, prahové hodnoty cache ani súbežné režimy nástrojov.</p><p>Karta rodiny modelov opisuje riedky transformer typu mixture-of-experts s natívnym porozumením textu, obrazovým aj zvukovým údajom. Tréning kombinuje webový text, kód, obrázky, zvuk a video; následné dotrénovanie zahŕňa spárované multimodálne pokyny a odpovede, ľudské preferencie a údaje o používaní nástrojov. Pri príprave údajov sa uplatňuje deduplikácia a filtrovanie z hľadiska bezpečnosti a kvality. Presná stránka datovaného modelu uvádza január 2025 ako hranicu jeho znalostí. Otázky vyžadujúce novšie informácie majú určiť zdrojový materiál alebo vhodný krok vyhľadávania namiesto toho, aby trénovacie znalosti modelu považovali za živý informačný kanál.</p><p>Medzi podstatné obmedzenia patrí možné vymýšľanie faktov a ťažkosti s chápaním príčinnosti, zložitým logickým vyvodzovaním a kontrafaktuálnym uvažovaním. Karta rodiny tiež upozorňuje, že odpovede môžu mať niekedy zbytočne poučujúci tón. Pre užitočný výsledok požadujte, aby model rozlišoval fakty zo zdrojov, predpoklady a navrhované kroky, a následne skontrolujte časti rozhodujúce pre rozhodnutie. Úplný výstup agenta môže obsahovať zistenia, odôvodnený ďalší krok, informácie získané z nástrojov a každú nevyriešenú otázku. Dôraz septembrového vydania na používanie nástrojov pomáha vymedziť tento postup, zatiaľ čo pripravené vstupy a výslovné kritériá dokončenia ho udržiavajú previazaný s úlohou používateľa.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Dostupné v Ailoot · vstupy a metódy</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Anthropic Messages</b> <code>POST /v1/messages</code></summary><dl class=\"method-capabilities\"><div><dt>Vstup</dt><dd><code>text</code></dd></div><div><dt>Výstup</dt><dd><code>json</code>, <code>sse</code></dd></div><div><dt>Výstupný formát</dt><dd>JSON alebo SSE</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Pole</th><th>Typ</th><th>Požiadavka</th><th>Hodnoty a limity</th><th>Predvolené</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>gemini-2.5-flash-preview-09-2025</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>message[]</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].role</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span><div>user, assistant</div></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">messages[].content</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>string</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">max_tokens</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>integer</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Povinné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"unspecified\"><span class=\"card-cell-label\">Predvolené</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span><code>boolean</code></td><td data-cell-label=\"Požiadavka\"><span class=\"card-cell-label\">Požiadavka</span>Voliteľné</td><td data-cell-label=\"Hodnoty a limity\"><span class=\"card-cell-label\">Hodnoty a limity</span></td><td data-cell-label=\"Predvolené\" data-default=\"known\"><span class=\"card-cell-label\">Predvolené</span>false</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Kombinácie vstupných podkladov</summary><p class=\"note-s\"><b>Text</b> · Text UTF-8</p><p class=\"note-s\"><code>reťazec messages[].content</code></p></details><details class=\"note-s\" data-method-contract><summary>Parametre a životný cyklus metódy</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Špecifikácia</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>model, messages, max_tokens</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional_controls</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>stream</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>text</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>text_file_material</code></th><td data-cell-label=\"Špecifikácia\"><span class=\"card-cell-label\">Špecifikácia</span>Prečítajte skutočný dokument UTF-8 a vložte jeho text do uvedeného vstupného reťazca alebo reťazca obsahu správy.</td></tr></tbody></table></div><p>Životný cyklus: <code>synchronous_or_streamed</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Cenník</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarifné údaje nepridávajú možnosti požiadavky. Podporované parametre sú uvedené pri vybranej metóde.</p><dl data-price-conditions><dt>Rýchly režim</dt><dd>Neuvedené <span class=\"note-s\">Keď je zvolený rýchly režim</span></dd><dt>Režim Flex</dt><dd>Neuvedené <span class=\"note-s\">Keď je zvolený režim flex</span></dd><dt>Maximálna úroveň uvažovania</dt><dd>Neuvedené <span class=\"note-s\">Keď sa pri maximálnej úrovni uvažovania používa predvolená úprava (default)</span></dd><dt>Ceny explicitnej cache</dt><dd>Nie je zapnuté <span class=\"note-s\">Keď sa požaduje explicitná cache</span></dd></dl></div><div data-declared-tariff-pricing><h4>Sadzby Ailoot</h4><h4>Ceny podľa konfigurácie</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigurácia</th><th>Sadzobník</th><th>Poplatok</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigurácia\" scope=\"row\"><span class=\"card-cell-label\">Konfigurácia</span>Základné sadzby za tokeny</th><td data-cell-label=\"Sadzobník\"><span class=\"card-cell-label\">Sadzobník</span>Základná sadzba</td><td data-cell-label=\"Poplatok\"><span class=\"card-cell-label\">Poplatok</span><div><span>Vstup · Vstupné tokeny</span> <b>$0.0006</b> <span class=\"price-unit\">/ 1K tokenov</span></div><div><span>Výstup · Výstupné tokeny</span> <b>$0.005</b> <span class=\"price-unit\">/ 1K tokenov</span></div><div><span>Vstup · Čítanie cache</span> <b>$0</b> <span class=\"price-unit\">/ 1K tokenov</span></div><div><span>Vstup · Zápis do cache</span> <b>$0</b> <span class=\"price-unit\">/ 1K tokenov</span></div><div><span>Vstup · Zápis do cache, 1 hod</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenov</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot pred požiadavkou rezervuje odhadovanú sumu. Po získaní výsledku vyúčtuje konečný poplatok podľa nameraného využitia. Pri streamovaní sa vyúčtovanie riadi konečným záznamom využitia. <a href=\"/docs/sk/billing/reserve/\">Ako funguje rezervácia a vyúčtovanie →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Príklady požiadaviek</h3><h4>Ailoot Ultra · Anthropic Messages</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Varianty kódu\"><button class=\"cg-tab\" id=\"model-code-1376-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1376-panel-0\" aria-selected=\"true\" tabindex=\"0\">Úplné minimálne telo požiadavky vo formáte JSON</button><button class=\"cg-tab\" id=\"model-code-1376-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1376-panel-1\" aria-selected=\"false\" tabindex=\"-1\">curl · použite svoj dokument UTF-8</button><button class=\"cg-tab\" id=\"model-code-1376-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1376-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Python · uložte úplný výsledok</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Skopírovať kód\"><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-1376-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1376-tab-0\"><pre data-lang=\"json\"><code>{\n  &quot;model&quot;: &quot;gemini-2.5-flash-preview-09-2025&quot;,\n  &quot;max_tokens&quot;: 128,\n  &quot;messages&quot;: [\n    {\n      &quot;role&quot;: &quot;user&quot;,\n      &quot;content&quot;: &quot;Summarize the incident report.&quot;\n    }\n  ],\n  &quot;stream&quot;: false\n}</code></pre></div><div class=\"cg-pane\" id=\"model-code-1376-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1376-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}&quot;\nexport AILOOT_TEXT_FILE\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ[&#39;AILOOT_TEXT_FILE&#39;])\nif not source_file.is_file():\n    raise SystemExit(&#39;Set AILOOT_TEXT_FILE to your actual UTF-8 document&#39;)\ntext = source_file.read_text(encoding=&#39;utf-8&#39;)\nif not text.strip():\n    raise SystemExit(&#39;Choose a document containing text&#39;)\npayload = {&#39;model&#39;: &#39;gemini-2.5-flash-preview-09-2025&#39;, &#39;max_tokens&#39;: 128, &#39;messages&#39;: [{&#39;role&#39;: &#39;user&#39;, &#39;content&#39;: &#39;Summarize the incident report.&#39;}]}\npayload[&#39;messages&#39;][0][&#39;content&#39;] = &#39;Summarize this material and quote supporting source passages.\\n\\n&#39; + text\nPath(&#39;request.json&#39;).write_text(json.dumps(payload, ensure_ascii=False), encoding=&#39;utf-8&#39;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H &quot;x-api-key: $AILOOT_API_KEY&quot; -H &#39;anthropic-version: 2023-06-01&#39; -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 json\nfrom pathlib import Path\n\nresult = json.loads(Path(&#39;result.json&#39;).read_text(encoding=&#39;utf-8&#39;))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-1376-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-1376-tab-2\" hidden><pre data-lang=\"python\"><code>import json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ[&#39;AILOOT_TEXT_FILE&#39;])\nif not source_file.is_file():\n    raise SystemExit(&#39;Set AILOOT_TEXT_FILE to your actual UTF-8 document&#39;)\ntext = source_file.read_text(encoding=&#39;utf-8&#39;)\nif not text.strip():\n    raise SystemExit(&#39;Choose a document containing text&#39;)\npayload = {&#39;model&#39;: &#39;gemini-2.5-flash-preview-09-2025&#39;, &#39;max_tokens&#39;: 128, &#39;messages&#39;: [{&#39;role&#39;: &#39;user&#39;, &#39;content&#39;: &#39;Summarize the incident report.&#39;}]}\npayload[&#39;messages&#39;][0][&#39;content&#39;] = &#39;Summarize this material and quote supporting source passages.\\n\\n&#39; + text\nfrom urllib.request import Request, urlopen\nfrom urllib.error import HTTPError\n\napi_key = os.environ[&#39;AILOOT_API_KEY&#39;]\nif not api_key.strip():\n    raise SystemExit(&#39;Set AILOOT_API_KEY before making a request&#39;)\nheaders = {&#39;x-api-key&#39;: &#39;PLACEHOLDER_KEY&#39;, &#39;anthropic-version&#39;: &#39;2023-06-01&#39;, &#39;Content-Type&#39;: &#39;application/json&#39;}\nheaders[&#39;x-api-key&#39;] = api_key\nrequest = Request(&#39;https://api.ailoot.ai/v1/messages&#39;, data=json.dumps(payload, ensure_ascii=False).encode(&#39;utf-8&#39;), headers=headers, method=&#39;POST&#39;)\ntry:\n    with urlopen(request, timeout=120) as response:\n        raw = response.read()\n        Path(&#39;response-headers.txt&#39;).write_text(str(response.headers), encoding=&#39;utf-8&#39;)\nexcept HTTPError as error:\n    Path(&#39;result.json&#39;).write_bytes(error.read())\n    Path(&#39;response-headers.txt&#39;).write_text(str(error.headers), encoding=&#39;utf-8&#39;)\n    raise\nPath(&#39;result.json&#39;).write_bytes(raw)\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path(&#39;result.json&#39;).read_text(encoding=&#39;utf-8&#39;))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Prijať a uložiť výsledky</h3><h4>Ailoot Ultra · Anthropic Messages</h4><p class=\"note-s\">JSON alebo SSE</p><div class=\"card-result-process\" data-all-results><h5>Uchovať všetky dokončené výsledky</h5><p class=\"note-s\">Uložte každú úplnú vrátenú odpoveď, súbor a časť obsahu.</p><p class=\"note-s\">Zachovajte všetky bloky obsahu, podpisy uvažovania a skutočné ID volaní nástrojov. Zostavte všetky čiastkové zmeny blokov SSE; prvý textový blok nie je celý výstup.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Ak treba overiť pôvodnú odpoveď</h5><p class=\"note-s\">Zachovajte ID požiadaviek/odpovedí aj hlavičky. Všeobecná URL na načítanie textovej úlohy nie je poskytnutá.</p></div><details class=\"card-about\" data-output-fields><summary>Polia odpovede</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Pole</th><th>Typ</th></tr></thead><tbody><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">id</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>string</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>string</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">content[]</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>text|thinking|tool_use|other content block</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">stop_reason</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>string|null</td></tr><tr><th data-cell-label=\"Pole\" scope=\"row\"><span class=\"card-cell-label\">Pole</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Typ\" data-field-type><span class=\"card-cell-label\">Typ</span>object</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Chyby a ďalšie kroky</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Odpoveď</th><th>Podmienka</th><th>Ďalší krok</th></tr></thead><tbody><tr><th data-cell-label=\"Odpoveď\" scope=\"row\"><span class=\"card-cell-label\">Odpoveď</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Podmienka\"><span class=\"card-cell-label\">Podmienka</span>Neplatné povinné polia, reprezentácia materiálu alebo hodnota parametra</td><td data-cell-label=\"Ďalší krok\"><span class=\"card-cell-label\">Ďalší krok</span>Pred novou požiadavkou na vytvorenie opravte uvedené polia.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Aliasy</h3><h4>Aliasy modelov</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=gemini-2.5-flash-preview-09-2025&amp;route=Ultra&amp;caller=gemini-2.5-flash-preview-09-2025&amp;fmt=messages\"><code>gemini-2.5-flash-preview-09-2025</code></a></span></p><h4>Aliasy ciest metód</h4><p class=\"note-s\">Použite cesty metód uvedené vyššie.</p><h4>Súvisiace ID na volanie</h4><p class=\"note-s\"><a href=\"#m=gemini-2.5-flash-preview-09-2025&amp;route=Ultra&amp;caller=gemini-2.5-flash-preview-09-2025&amp;fmt=messages\"><code>gemini-2.5-flash-preview-09-2025</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "gemini-2.5-flash-preview-09-2025",
        "fmt": "messages",
        "http": "POST",
        "path": "/v1/messages",
        "request_model_id": "gemini-2.5-flash-preview-09-2025",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|messages|/v1/messages|gemini-2.5-flash-preview-09-2025",
      "ordinal": 1,
      "rawMethod": {
        "available": null,
        "cache_read": 0,
        "cache_write": 0,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "headers": [
                "Authorization: Bearer",
                "x-api-key",
                "anthropic-version"
              ],
              "version_example": "2023-06-01"
            },
            "errors": [
              {
                "code": null,
                "condition": "Neplatné povinné polia, reprezentácia materiálu alebo hodnota parametra",
                "http_status": 400,
                "recovery": "Pred novou požiadavkou na vytvorenie opravte uvedené polia.",
                "type": "invalid_request_error"
              }
            ],
            "example_body": {
              "max_tokens": 128,
              "messages": [
                {
                  "content": "Summarize the incident report.",
                  "role": "user"
                }
              ],
              "model": "gemini-2.5-flash-preview-09-2025",
              "stream": false
            },
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "Zachovajte ID požiadaviek/odpovedí aj hlavičky. Všeobecná URL na načítanie textovej úlohy nie je poskytnutá."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "reťazec messages[].content",
                "required_material": "Text UTF-8"
              }
            ],
            "operation_modes": [
              "synchronous_json",
              "streamed_SSE"
            ],
            "outputs": {
              "all_results": "Zachovajte všetky bloky obsahu, podpisy uvažovania a skutočné ID volaní nástrojov. Zostavte všetky čiastkové zmeny blokov SSE; prvý textový blok nie je celý výstup.",
              "family": "protocol",
              "fields": [
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "content[]",
                  "type": "text|thinking|tool_use|other content block"
                },
                {
                  "description": null,
                  "name": "stop_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "JSON alebo SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "gemini-2.5-flash-preview-09-2025"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "user",
                  "assistant"
                ],
                "enum_known": true,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "profile_binding": "Documented current stock Messages bridge; optional model capabilities are separate from this minimal text request.",
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "oneOf": [
                          {
                            "type": "string"
                          },
                          {
                            "items": {
                              "oneOf": [
                                {
                                  "properties": {
                                    "text": {
                                      "type": "string"
                                    },
                                    "type": {
                                      "const": "text"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "text"
                                  ],
                                  "type": "object"
                                },
                                {
                                  "properties": {
                                    "source": {
                                      "oneOf": [
                                        {
                                          "properties": {
                                            "type": {
                                              "const": "url"
                                            },
                                            "url": {
                                              "type": "string"
                                            }
                                          },
                                          "required": [
                                            "type",
                                            "url"
                                          ],
                                          "type": "object"
                                        },
                                        {
                                          "properties": {
                                            "data": {
                                              "type": "string"
                                            },
                                            "media_type": {
                                              "type": "string"
                                            },
                                            "type": {
                                              "const": "base64"
                                            }
                                          },
                                          "required": [
                                            "type",
                                            "media_type",
                                            "data"
                                          ],
                                          "type": "object"
                                        }
                                      ]
                                    },
                                    "type": {
                                      "const": "image"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "source"
                                  ],
                                  "type": "object"
                                }
                              ]
                            },
                            "type": "array"
                          }
                        ]
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "gemini-2.5-flash-preview-09-2025"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "max_tokens": 128,
              "messages": [
                {
                  "content": "Summarize the incident report.",
                  "role": "user"
                }
              ],
              "model": "gemini-2.5-flash-preview-09-2025",
              "stream": false
            },
            "unsupported": [
              "No query API key.",
              "Hosted/server-side tools and model-specific optional controls are not part of this minimal family example."
            ]
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional_controls": [
              "stream"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ],
            "text_file_material": "Prečítajte skutočný dokument UTF-8 a vložte jeho text do uvedeného vstupného reťazca alebo reťazca obsahu správy."
          },
          "lifecycle": {
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "job_read": null,
            "mode": "synchronous_or_streamed",
            "unknown": "Keep request/response IDs and headers. No generic text job retrieval URL is supplied."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "output": {
            "all_results": "Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.",
            "family": "protocol",
            "format": "JSON or SSE"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Základné sadzby za tokeny",
            "units": [
              {
                "amount": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000005",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "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": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"model\": \"gemini-2.5-flash-preview-09-2025\",\n  \"max_tokens\": 128,\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Summarize the incident report.\"\n    }\n  ],\n  \"stream\": false\n}",
            "label": "Complete minimal JSON body",
            "language": "json"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}\"\nexport AILOOT_TEXT_FILE\npython3 - <<'PY_REQUEST'\nimport json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ['AILOOT_TEXT_FILE'])\nif not source_file.is_file():\n    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')\ntext = source_file.read_text(encoding='utf-8')\nif not text.strip():\n    raise SystemExit('Choose a document containing text')\npayload = {'model': 'gemini-2.5-flash-preview-09-2025', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}\npayload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\\n\\n' + text\nPath('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"x-api-key: $AILOOT_API_KEY\" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path('result.json').read_text(encoding='utf-8'))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\nPY_RESULT\n",
            "label": "curl · use your UTF-8 document",
            "language": "bash"
          },
          {
            "code": "import json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ['AILOOT_TEXT_FILE'])\nif not source_file.is_file():\n    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')\ntext = source_file.read_text(encoding='utf-8')\nif not text.strip():\n    raise SystemExit('Choose a document containing text')\npayload = {'model': 'gemini-2.5-flash-preview-09-2025', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}\npayload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\\n\\n' + text\nfrom urllib.request import Request, urlopen\nfrom urllib.error import HTTPError\n\napi_key = os.environ['AILOOT_API_KEY']\nif not api_key.strip():\n    raise SystemExit('Set AILOOT_API_KEY before making a request')\nheaders = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}\nheaders['x-api-key'] = api_key\nrequest = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')\ntry:\n    with urlopen(request, timeout=120) as response:\n        raw = response.read()\n        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')\nexcept HTTPError as error:\n    Path('result.json').write_bytes(error.read())\n    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')\n    raise\nPath('result.json').write_bytes(raw)\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path('result.json').read_text(encoding='utf-8'))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\n",
            "label": "Python · save the complete result",
            "language": "python"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "messages",
        "http": "POST",
        "in": 0.6,
        "input": [
          "text"
        ],
        "label": "Anthropic Messages",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": 5,
        "output": [
          "json",
          "sse"
        ],
        "path": "/v1/messages",
        "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"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000005",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "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": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "gemini-2.5-flash-preview-09-2025",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.0006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000006",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.000005",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "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": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      }
    }
  ],
  "model_id": "gemini-2.5-flash-preview-09-2025",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "f97f4bee9e08305073e0741f8ab44fc4f7dba063357d750f5a22bc0ce918f52f",
    "input_html_sha256": "6015db51528c6c4fc7da7c31253890713a877b5eac36987738d4afc9c4610837",
    "private_audit_sha256": "5b9f59a2ff7348d312c7f644e5039ae14d5a198c5144ea2b0267f214252e58cf",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/sk/gemini-2-5-flash-preview-09-2025/",
    "description": "Gemini 2.5 Flash Preview 09-2025 je septembrová edícia spoločnosti Google pre multimodálnu analýzu a viackrokovú prácu s nástrojmi. Spája porozumenie textu, obrázkom, videu a zvuku s uvažovaním, štruktúrovanými odpoveďami a vstupným limitom 1,048,576 tokenov, s konkrétnymi zlepšeniami používania nástrojov agentmi.",
    "locale": "sk",
    "md_url": "https://ailoot.ai/models/sk/gemini-2-5-flash-preview-09-2025/index.md",
    "title": "gemini-2.5-flash-preview-09-2025 — Ailoot",
    "url": "https://ailoot.ai/models/sk/gemini-2-5-flash-preview-09-2025/"
  },
  "practicalHtml": "<h3>Praktická úloha</h3><p>Technický príklad v angličtine</p><pre><code>Review a proposed retention design\n\nAssess this design against the requirement. Requirement R: delete inactive guest records after 30 days; paid accounts are excluded. Design D: a nightly job deletes every account whose last_login is older than 30 days. List mismatches with R/D references, propose a corrected selection rule in plain English, and give boundary cases to test.</code></pre><h4>Očakávaný výsledok</h4><pre><code>A concise requirements review, a corrected guest-only rule and tests for day 30, day 31 and an inactive paid account.</code></pre><h4>Overenie výsledku</h4><pre><code>The proposal excludes paid accounts and explicitly resolves what after 30 days means at the boundary.</code></pre>",
  "practicalText": "Praktická úloha Technický príklad v angličtine Review a proposed retention design Assess this design against the requirement. Requirement R: delete inactive guest records after 30 days; paid accounts are excluded. Design D: a nightly job deletes every account whose last_login is older than 30 days. List mismatches with R/D references, propose a corrected selection rule in plain English, and give boundary cases to test. Očakávaný výsledok A concise requirements review, a corrected guest-only rule and tests for day 30, day 31 and an inactive paid account. Overenie výsledku The proposal excludes paid accounts and explicitly resolves what after 30 days means at the boundary.",
  "rawModel": {
    "about": "Gemini 2.5 Flash Preview 09-2025 je septembrová predbežná edícia hybridného modelu uvažovania spoločnosti Google. Jeho zdokumentovanými vstupmi sú text, obrázky, video a zvuk; výstupom je text. Model dokáže spojiť otázku s obrazovým alebo hovoreným materiálom a následne vytvoriť vysvetlenie, dokument, kód alebo štruktúrovanú odpoveď. Táto konkrétna datovaná edícia sa líši od stabilného Gemini 2.5 Flash aj od priebežne aktualizovaného aliasu latest. Jej účelom je multimodálne porozumenie a práca s pomocou nástrojov s písomným výsledkom.\n\nGoogle pri tomto vydaní opisuje dve konkrétne zlepšenia: lepšie používanie nástrojov agentmi a úspornejšie generovanie odpovedí pri zapnutom uvažovaní. Prvé sa týka úloh, ktoré vyžadujú niekoľko prepojených činností, napríklad získanie informácií, ich porovnanie s požiadavkou a výber ďalšieho kroku. Druhé sa týka tvorby užitočných odpovedí s menším počtom vygenerovaných tokenov pri zachovaní kvality. Vývojovému asistentovi dodajte pozorované správanie, relevantný kód a kritérium úspešnej zmeny. Výskumnému asistentovi vymedzte otázku, materiál na preskúmanie a dôkazy potrebné pre záver.\n\nUvažovanie aj priama odpoveď sú súčasťou hybridného návrhu. Úloha s uvažovaním môže pred prípravou konečnej odpovede analyzovať závislosti, matematické podmienky alebo viackrokový plán. Jednoduchá extrakcia alebo krátke vysvetlenie môže mať jednoduchší cieľ odpovede. Uveďte, ktoré obmedzenia sú záväzné, čo smie model predpokladať a čo musí konečný výstup obsahovať. Karta rodiny modelov od výrobcu upozorňuje, že dodržiavanie rozpočtov na uvažovanie môže byť nekonzistentné, preto požadovaný rozpočet nie je dôkazom pevného stropu uvažovania. Tento opis nepripisuje septembrovej edícii úrovne ani predvolené nastavenia uvažovania novšieho modelu.\n\nPresná tabuľka septembrového modelu uvádza najviac 1,048,576 vstupných tokenov a 65,536 výstupných tokenov. Jeho veľký vstupný profil dokáže v jednej úlohe obsiahnuť pokyny, príklady, referenčný text aj multimediálny kontext. Pri porovnávaní požiadaviek s navrhovaným riešením označte oba zdroje a dodajte spoločnú sústavu kritérií. Pri rozbore snímky obrazovky označte relevantný stav alebo komponent; pri zvukovej či videoúlohe pomenujte otázku alebo udalosť namiesto žiadosti o opis bez konkrétneho zamerania. Výsledkom zostáva text: natívna tvorba obrázkov, generovanie hlasu a hovorený dialóg v reálnom čase patria iným profilom modelov.\n\nGoogle pre túto konkrétnu predbežnú edíciu dokumentuje volanie funkcií, vykonávanie kódu, podloženie odpovede vyhľadávaním, kontext URL a vyhľadávanie v súboroch. Pri volaní funkcie model vyberie deklarovanú funkciu a pripraví argumenty; pripojená aplikácia vykoná operáciu a vráti jej výsledok. Vykonávanie kódu používa vygenerovaný Python na výpočty alebo spracovanie textu. Podloženie vyhľadávaním dodáva webové materiály pre odpoveď opierajúcu sa o zdroje, zatiaľ čo kontext URL pracuje s obsahom určených prístupných stránok. Vyhľadávanie v súboroch poskytuje ďalšiu možnosť získavania zdrojov. Každému nástroju agenta určte jasný účel a pri každom kroku uveďte očakávané informácie, aby mohol postup pokračovať zo skutočne vráteného výsledku.\n\nPodpora štruktúrovaného výstupu umožňuje používať konečný výstup ako súbor definovaných polí. Pri porovnaní požadujte kritérium, zodpovedajúcu zdrojovú pasáž, pozorovaný rozdiel a otázku, ktorú ešte treba objasniť. Pri úlohe s kódom oddeľte navrhovanú zmenu od jej vysvetlenia a kontrol, ktoré sú ešte potrebné. Presný profil modelu Google uvádza aj podporu ukladania kontextu do vyrovnávacej pamäte a dávkového spracovania. Opakovaný zdrojový materiál možno udržiavať konzistentný v súvisiacich úlohách; samotné cachovanie nepotvrdzuje, že konkrétna požiadavka znovu použila tokeny z vyrovnávacej pamäte. Z týchto názvov schopností nevyplývajú novšie kombinácie schém, prahové hodnoty cache ani súbežné režimy nástrojov.\n\nKarta rodiny modelov opisuje riedky transformer typu mixture-of-experts s natívnym porozumením textu, obrazovým aj zvukovým údajom. Tréning kombinuje webový text, kód, obrázky, zvuk a video; následné dotrénovanie zahŕňa spárované multimodálne pokyny a odpovede, ľudské preferencie a údaje o používaní nástrojov. Pri príprave údajov sa uplatňuje deduplikácia a filtrovanie z hľadiska bezpečnosti a kvality. Presná stránka datovaného modelu uvádza január 2025 ako hranicu jeho znalostí. Otázky vyžadujúce novšie informácie majú určiť zdrojový materiál alebo vhodný krok vyhľadávania namiesto toho, aby trénovacie znalosti modelu považovali za živý informačný kanál.\n\nMedzi podstatné obmedzenia patrí možné vymýšľanie faktov a ťažkosti s chápaním príčinnosti, zložitým logickým vyvodzovaním a kontrafaktuálnym uvažovaním. Karta rodiny tiež upozorňuje, že odpovede môžu mať niekedy zbytočne poučujúci tón. Pre užitočný výsledok požadujte, aby model rozlišoval fakty zo zdrojov, predpoklady a navrhované kroky, a následne skontrolujte časti rozhodujúce pre rozhodnutie. Úplný výstup agenta môže obsahovať zistenia, odôvodnený ďalší krok, informácie získané z nástrojov a každú nevyriešenú otázku. Dôraz septembrového vydania na používanie nástrojov pomáha vymedziť tento postup, zatiaľ čo pripravené vstupy a výslovné kritériá dokončenia ho udržiavajú previazaný s úlohou používateľa.",
    "alias_of": null,
    "aliases": [],
    "author": "Google",
    "available": null,
    "canonical_model": "gemini-2.5-flash-preview-09-2025",
    "capabilities": {
      "context_length": 1000000,
      "manufacturer_input": [],
      "manufacturer_output": []
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.0006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000006",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.000005",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          }
        ],
        "summary": "Úplný cenník konfigurácie nájdete v podrobnostiach."
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "chat",
      "messages"
    ],
    "id": "gemini-2.5-flash-preview-09-2025",
    "input": [
      "text"
    ],
    "kind": "text",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": 0,
        "cache_write": 0,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "errors": [
              {
                "code": null,
                "condition": "Neplatné povinné polia, reprezentácia materiálu alebo hodnota parametra",
                "http_status": 400,
                "recovery": "Pred novou požiadavkou na vytvorenie opravte uvedené polia.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [
              "Model context is not an output cap.",
              "A model-dependent field needs the exact published model profile; unspecified defaults/enums are not guessed.",
              "Tool calls propose actions; the client application returns actual observations with the returned call ID.",
              "Guarded canonical keys must occur once; duplicate or case-varied model/tools/cap fields are rejected."
            ],
            "ignored_fields": [],
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/chat/completions"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "Zachovajte ID požiadaviek/odpovedí aj hlavičky. Všeobecná URL na načítanie textovej úlohy nie je poskytnutá."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "messages[].content",
                "required_material": "Text UTF8"
              }
            ],
            "operation_modes": [
              "conversation",
              "function_tool_continuation",
              "streaming"
            ],
            "outputs": {
              "all_results": "Zachovajte každý variant odpovede a jeho obsah, volania nástrojov a uvažovanie. V SSE zostavujte čiastkové zmeny podľa indexu variantu/nástroja a zachovajte konečný dôvod ukončenia aj údaje o spotrebe.",
              "family": "text",
              "fields": [
                {
                  "description": null,
                  "name": "choices[].index",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "choices[].message.content",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "choices[].message.tool_calls",
                  "type": "tool_call[]"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_content",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "choices[].message.reasoning_details",
                  "type": "object|array"
                },
                {
                  "description": null,
                  "name": "choices[].finish_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "json alebo SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "gemini-2.5-flash-preview-09-2025"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "min_items": 1,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "model_dependent",
                "conditions": "Tieto roly sú výslovne zastúpené typmi kompatibility v zdrojovom kóde; presný súbor rolí zostáva závislý od modelu.",
                "default": null,
                "default_known": false,
                "enum": [
                  "system",
                  "user",
                  "assistant",
                  "tool",
                  "function"
                ],
                "enum_exhaustive": false,
                "enum_known": true,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": false,
                "type": "string|content_part[]|null"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].tool_calls",
                "required": false,
                "type": "tool_call[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].tool_call_id",
                "required": false,
                "type": "string",
                "when": "role=tool; použite skutočne vrátené ID"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].name",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].reasoning_content",
                "required": false,
                "type": "string",
                "when": "Posielajte späť skutočne vrátené uvažovanie, ak ho tento model používa"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].reasoning_details",
                "required": false,
                "type": "object|array"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "max_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "max_completion_tokens",
                "required": false,
                "type": "integer"
              },
              {
                "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": "stream_options.include_usage",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "temperature",
                "required": false,
                "type": "number"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "top_p",
                "required": false,
                "type": "number"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "stop",
                "required": false,
                "type": "string|string[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools",
                "required": false,
                "type": "function_tool[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": [
                  "function"
                ],
                "enum_known": true,
                "name": "tools[].type",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.name",
                "required": true,
                "type": "string",
                "when": "poskytnutý nástroj typu funkcia"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.description",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tools[].function.parameters",
                "required": false,
                "type": "JSON_schema"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "tool_choice",
                "required": false,
                "type": "string|object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "parallel_tool_calls",
                "required": false,
                "type": "boolean"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "response_format",
                "required": false,
                "type": "object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "reasoning_effort",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "reasoning",
                "required": false,
                "type": "object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "service_tier",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_compatibility",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "instructions",
                "required": false,
                "type": "string"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "functions",
                "required": false,
                "type": "function[]"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "function_call",
                "required": false,
                "type": "string|object"
              },
              {
                "availability": "model_dependent",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "prompt_cache_options",
                "required": false,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "text"
                ],
                "enum_known": true,
                "name": "modalities",
                "required": false,
                "type": "string[]"
              },
              {
                "availability": "source_interface",
                "conditions": "provider.options sa na tejto textovej trase Ultra odmieta",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "object"
              },
              {
                "availability": "source_interface",
                "conditions": "Hodnota 1h sa v skutočne používaných poliach cache promptov odmieta",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "cache_control.ttl",
                "required": false,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "additional models/models list",
              "plugins",
              "route",
              "hosted tools; ordinary client function tools remain separate",
              "non-text output modalities",
              "provider.options overrides",
              "one-hour prompt-cache TTL"
            ]
          },
          "hints": [
            "Pošlite presné ID modelu spolu s messages.",
            "Dĺžka kontextu nie je horná hranica výstupu.",
            "Textový súbor môže poskytnúť doslovný text; obrazové a zvukové vstupy a vstupy so súborovými objektmi potrebujú presné naviazanie."
          ],
          "input": {
            "content_type": "application/json",
            "control_scope": "závisí od modelu; používateľské nástroje typu funkcia sa líšia od nástrojov prevádzkovaných službou",
            "file_material": "skutočný dokument UTF-8 vložený ako doslovný text; ID súboru sa neodvodzuje",
            "hosted_operations": false,
            "material_types": [
              "text"
            ],
            "messages": "pole správ so štruktúrou role/content",
            "multimodal_input_binding": null,
            "optional_controls": [
              "stream",
              "temperature",
              "top_p",
              "stop",
              "max_tokens",
              "max_completion_tokens",
              "reasoning",
              "response_format",
              "tools",
              "tool_choice"
            ],
            "output_modalities": [
              "text"
            ],
            "required": [
              "model",
              "messages"
            ]
          },
          "lifecycle": {
            "mode": "synchronous_or_streamed",
            "unknown": "preserve original request id; no generic chat job retrieval path"
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/chat/completions"
          },
          "method_aliases": [],
          "operation_modes": [
            "text_chat"
          ],
          "output": {
            "content": "choices[].message.content or stream delta",
            "family": "text",
            "format": "json or supported SSE",
            "tool_calls": "retain actual returned function calls"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Základné sadzby za tokeny",
            "units": [
              {
                "amount": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000005",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "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": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"gemini-2.5-flash-preview-09-2025\", \"messages\": [{\"role\": \"user\", \"content\": \"Explain the difference between an observation and a hypothesis in three sentences.\"}]}')\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/chat/completions \\\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 json\nfrom pathlib import Path\nr=json.loads(Path(\"result.json\").read_text())\nfor x in r.get(\"choices\",[]):\n    if x.get(\"message\",{}).get(\"content\"): print(x[\"message\"][\"content\"])\nPY_RESULT\n",
            "label": "curl · retained exact creation",
            "language": "bash"
          },
          {
            "code": "from openai import OpenAI\nimport os\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nresult=client.chat.completions.create(model='gemini-2.5-flash-preview-09-2025',messages=[{\"role\":\"user\",\"content\":\"Explain observations and hypotheses in three sentences.\"}])\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nsave_result(result.to_dict(mode=\"json\"))\n",
            "label": "Python SDK · all choices",
            "language": "python"
          },
          {
            "code": "from openai import OpenAI\nimport os\nfrom pathlib import Path\n\nif not os.environ.get(\"AILOOT_API_KEY\", \"\").strip(): raise SystemExit(\"Set AILOOT_API_KEY before making a request\")\nclient=OpenAI(base_url=\"https://api.ailoot.ai/v1\",api_key=os.environ[\"AILOOT_API_KEY\"],max_retries=0)\nimport base64, json\nfrom pathlib import Path\n\ndef save_result(data, stem=\"result\"):\n    # Keep every field, including usage, IDs, reasoning and tool requests.\n    Path(stem + \".json\").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding=\"utf-8\")\n    print(json.dumps(data, ensure_ascii=False, indent=2))\n    def save_blob(encoded, suffix, label):\n        raw = base64.b64decode(encoded, altchars=b\"-_\", validate=True)\n        ext = \"png\" if raw.startswith(b\"\\x89PNG\\r\\n\\x1a\\n\") else \"jpg\" if raw.startswith(b\"\\xff\\xd8\") else \"webp\" if raw[:4] == b\"RIFF\" and raw[8:12] == b\"WEBP\" else suffix\n        file = Path(stem + \"-\" + label + \".\" + ext)\n        file.write_bytes(raw)\n        print(\"Saved\", file)\n    for index, block in enumerate(data.get(\"content\") or []):\n        print(\"Content\", index, json.dumps(block, ensure_ascii=False))\n    for choice in data.get(\"choices\") or []:\n        print(\"Choice\", choice.get(\"index\"), json.dumps(choice.get(\"message\", choice.get(\"delta\", {})), ensure_ascii=False))\n    for index, item in enumerate(data.get(\"output\") or []):\n        print(\"Output\", index, json.dumps(item, ensure_ascii=False))\n        if item.get(\"type\") == \"image_generation_call\" and item.get(\"result\"):\n            save_blob(item[\"result\"], item.get(\"output_format\") or \"bin\", \"output-\" + str(index))\n    for ci, candidate in enumerate(data.get(\"candidates\") or []):\n        for pi, part in enumerate((candidate.get(\"content\") or {}).get(\"parts\") or []):\n            print(\"Candidate/part\", ci, pi, json.dumps(part, ensure_ascii=False))\n            blob = part.get(\"inlineData\") or part.get(\"inline_data\")\n            if blob and blob.get(\"data\"):\n                mime = blob.get(\"mimeType\") or blob.get(\"mime_type\")\n                suffix = {\"image/png\":\"png\", \"image/jpeg\":\"jpg\", \"image/webp\":\"webp\", \"audio/wav\":\"wav\", \"audio/mpeg\":\"mp3\", \"video/mp4\":\"mp4\"}.get(mime, \"bin\")\n                save_blob(blob[\"data\"], suffix, \"candidate-\" + str(ci) + \"-part-\" + str(pi))\n\nwith client.chat.completions.stream(model='gemini-2.5-flash-preview-09-2025',messages=[{\"role\":\"user\",\"content\":\"Explain observations and hypotheses in three sentences.\"}]) as stream:\n    with Path(\"stream-events.jsonl\").open(\"w\",encoding=\"utf-8\") as log:\n        for event in stream:\n            payload=event.to_dict(mode=\"json\")\n            log.write(json.dumps(payload,ensure_ascii=False)+\"\\n\"); log.flush()\n            print(json.dumps(payload,ensure_ascii=False))\n    final=stream.get_final_completion()\n    save_result(final.to_dict(mode=\"json\"),\"stream-result\")\n",
            "label": "Python SDK streaming · all events",
            "language": "python"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "chat",
        "hints": [
          "Send exact model ID with messages.",
          "Context length is not an output cap.",
          "A text file may supply literal text; image/audio/file-object inputs need exact binding."
        ],
        "http": "POST",
        "in": 0.6,
        "input": [
          "text"
        ],
        "label": "OpenAI Chat",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": 5,
        "output": [
          "text"
        ],
        "path": "/v1/chat/completions",
        "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"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000005",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "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": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "request_model_id": "gemini-2.5-flash-preview-09-2025",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.0006000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.0000006",
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": "0.005000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": "0.000005",
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": "0",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": "0",
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "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": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          }
        ]
      },
      {
        "available": null,
        "cache_read": 0,
        "cache_write": 0,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "headers": [
                "Authorization: Bearer",
                "x-api-key",
                "anthropic-version"
              ],
              "version_example": "2023-06-01"
            },
            "errors": [
              {
                "code": null,
                "condition": "Neplatné povinné polia, reprezentácia materiálu alebo hodnota parametra",
                "http_status": 400,
                "recovery": "Pred novou požiadavkou na vytvorenie opravte uvedené polia.",
                "type": "invalid_request_error"
              }
            ],
            "example_body": {
              "max_tokens": 128,
              "messages": [
                {
                  "content": "Summarize the incident report.",
                  "role": "user"
                }
              ],
              "model": "gemini-2.5-flash-preview-09-2025",
              "stream": false
            },
            "lifecycle": {
              "create": {
                "http": "POST",
                "path": "/v1/messages"
              },
              "job_read": null,
              "mode": "synchronous_or_streamed",
              "unknown": "Zachovajte ID požiadaviek/odpovedí aj hlavičky. Všeobecná URL na načítanie textovej úlohy nie je poskytnutá."
            },
            "material_combinations": [
              {
                "mode": "text",
                "representation": "reťazec messages[].content",
                "required_material": "Text UTF-8"
              }
            ],
            "operation_modes": [
              "synchronous_json",
              "streamed_SSE"
            ],
            "outputs": {
              "all_results": "Zachovajte všetky bloky obsahu, podpisy uvažovania a skutočné ID volaní nástrojov. Zostavte všetky čiastkové zmeny blokov SSE; prvý textový blok nie je celý výstup.",
              "family": "protocol",
              "fields": [
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "content[]",
                  "type": "text|thinking|tool_use|other content block"
                },
                {
                  "description": null,
                  "name": "stop_reason",
                  "type": "string|null"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                }
              ],
              "format": "JSON alebo SSE"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "gemini-2.5-flash-preview-09-2025"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages",
                "required": true,
                "type": "message[]"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "user",
                  "assistant"
                ],
                "enum_known": true,
                "name": "messages[].role",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "messages[].content",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "max_tokens",
                "required": true,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": false,
                "default_known": true,
                "enum": null,
                "enum_known": false,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "profile_binding": "Documented current stock Messages bridge; optional model capabilities are separate from this minimal text request.",
            "request_schema": {
              "additionalProperties": false,
              "properties": {
                "max_tokens": {
                  "minimum": 1,
                  "type": "integer"
                },
                "messages": {
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "content": {
                        "oneOf": [
                          {
                            "type": "string"
                          },
                          {
                            "items": {
                              "oneOf": [
                                {
                                  "properties": {
                                    "text": {
                                      "type": "string"
                                    },
                                    "type": {
                                      "const": "text"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "text"
                                  ],
                                  "type": "object"
                                },
                                {
                                  "properties": {
                                    "source": {
                                      "oneOf": [
                                        {
                                          "properties": {
                                            "type": {
                                              "const": "url"
                                            },
                                            "url": {
                                              "type": "string"
                                            }
                                          },
                                          "required": [
                                            "type",
                                            "url"
                                          ],
                                          "type": "object"
                                        },
                                        {
                                          "properties": {
                                            "data": {
                                              "type": "string"
                                            },
                                            "media_type": {
                                              "type": "string"
                                            },
                                            "type": {
                                              "const": "base64"
                                            }
                                          },
                                          "required": [
                                            "type",
                                            "media_type",
                                            "data"
                                          ],
                                          "type": "object"
                                        }
                                      ]
                                    },
                                    "type": {
                                      "const": "image"
                                    }
                                  },
                                  "required": [
                                    "type",
                                    "source"
                                  ],
                                  "type": "object"
                                }
                              ]
                            },
                            "type": "array"
                          }
                        ]
                      },
                      "role": {
                        "enum": [
                          "user",
                          "assistant"
                        ],
                        "type": "string"
                      }
                    },
                    "required": [
                      "role",
                      "content"
                    ],
                    "type": "object"
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "gemini-2.5-flash-preview-09-2025"
                  ],
                  "type": "string"
                },
                "stream": {
                  "default": false,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "messages",
                "max_tokens"
              ],
              "type": "object"
            },
            "schema_template": {
              "max_tokens": 128,
              "messages": [
                {
                  "content": "Summarize the incident report.",
                  "role": "user"
                }
              ],
              "model": "gemini-2.5-flash-preview-09-2025",
              "stream": false
            },
            "unsupported": [
              "No query API key.",
              "Hosted/server-side tools and model-specific optional controls are not part of this minimal family example."
            ]
          },
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional_controls": [
              "stream"
            ],
            "required": [
              "model",
              "messages",
              "max_tokens"
            ],
            "text_file_material": "Prečítajte skutočný dokument UTF-8 a vložte jeho text do uvedeného vstupného reťazca alebo reťazca obsahu správy."
          },
          "lifecycle": {
            "create": {
              "http": "POST",
              "path": "/v1/messages"
            },
            "job_read": null,
            "mode": "synchronous_or_streamed",
            "unknown": "Keep request/response IDs and headers. No generic text job retrieval URL is supplied."
          },
          "manufacturer_capability": null,
          "method": {
            "http": "POST",
            "path": "/v1/messages"
          },
          "output": {
            "all_results": "Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.",
            "family": "protocol",
            "format": "JSON or SSE"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Základné sadzby za tokeny",
            "units": [
              {
                "amount": "0.0006000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.0000006",
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": "0.005000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": "0.000005",
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": "0",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": "0",
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "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": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"model\": \"gemini-2.5-flash-preview-09-2025\",\n  \"max_tokens\": 128,\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Summarize the incident report.\"\n    }\n  ],\n  \"stream\": false\n}",
            "label": "Complete minimal JSON body",
            "language": "json"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}\"\nexport AILOOT_TEXT_FILE\npython3 - <<'PY_REQUEST'\nimport json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ['AILOOT_TEXT_FILE'])\nif not source_file.is_file():\n    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')\ntext = source_file.read_text(encoding='utf-8')\nif not text.strip():\n    raise SystemExit('Choose a document containing text')\npayload = {'model': 'gemini-2.5-flash-preview-09-2025', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}\npayload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\\n\\n' + text\nPath('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \\\n  -H \"x-api-key: $AILOOT_API_KEY\" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path('result.json').read_text(encoding='utf-8'))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\nPY_RESULT\n",
            "label": "curl · use your UTF-8 document",
            "language": "bash"
          },
          {
            "code": "import json, os\nfrom pathlib import Path\n\nsource_file = Path(os.environ['AILOOT_TEXT_FILE'])\nif not source_file.is_file():\n    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')\ntext = source_file.read_text(encoding='utf-8')\nif not text.strip():\n    raise SystemExit('Choose a document containing text')\npayload = {'model': 'gemini-2.5-flash-preview-09-2025', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}\npayload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\\n\\n' + text\nfrom urllib.request import Request, urlopen\nfrom urllib.error import HTTPError\n\napi_key = os.environ['AILOOT_API_KEY']\nif not api_key.strip():\n    raise SystemExit('Set AILOOT_API_KEY before making a request')\nheaders = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}\nheaders['x-api-key'] = api_key\nrequest = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')\ntry:\n    with urlopen(request, timeout=120) as response:\n        raw = response.read()\n        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')\nexcept HTTPError as error:\n    Path('result.json').write_bytes(error.read())\n    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')\n    raise\nPath('result.json').write_bytes(raw)\nimport json\nfrom pathlib import Path\n\nresult = json.loads(Path('result.json').read_text(encoding='utf-8'))\nprint(json.dumps(result, ensure_ascii=False, indent=2))\n",
            "label": "Python · save the complete result",
            "language": "python"
          }
        ],
        "family": "anthropic",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "messages",
        "http": "POST",
        "in": 0.6,
        "input": [
          "text"
        ],
        "label": "Anthropic Messages",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": 5,
        "output": [
          "json",
          "sse"
        ],
        "path": "/v1/messages",
        "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"
          },
          {
            "label": "Explicit cache pricing",
            "value": "Not enabled",
            "when": "When explicit cache is requested"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
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