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  "aboutHtml": "<p>Cohere Rerank 4 Pro je model v Coherovi družini Rerank 4 s poudarkom na kakovosti. Kandidatne dokumente ovrednoti glede na poizvedbo in vrne njihov vrstni red ustreznosti ter ocene. Model je namenjen zapletenim nalogam pridobivanja, vključno z večjezičnimi dokumenti in polstrukturiranimi informacijami. V iskalni potek dela ali potek, obogaten s pridobivanjem podatkov, se umesti po tem, ko obstoječi sistem zbere kandidate: rezultat pomaga izbrati odlomke za prikaz ali za predložitev kot dokaze naslednji fazi.</p><p>Proizvajalčev identifikator je rerank-v4.0-pro, ločen od rerank-v4.0-fast in rerank-v3.5. Pro je namenjen zapletenim primerom, kjer je kakovost pridobivanja prednostna, Fast pa nižji zakasnitvi in višji prepustnosti. Obe izdaji Rerank 4 uporabljata kontekst 32.768 žetonov. Poizvedba in en kandidatni dokument si delita ta obseg; to ni ločeno polno okno za vsako vhodno polje ali omejitev celotnega shranjenega iskalnega korpusa.</p><p>Predložite jasno poizvedbo in seznam kandidatnih besedilnih nizov. Vsak vrnjeni rezultat vsebuje izvirni indeks dokumenta in oceno ustreznosti, top_n pa lahko določi število vrnjenih razvrščenih rezultatov; brez njega proizvajalec vrne vse rezultate. Ob vsakem vhodu ohranite identifikator vira, da je mogoče razvrstitev povezati s točnim odlomkom. Pri podpornem vprašanju vprašajte o zahtevanih pogojih in predložite kandidatne razdelke pravilnika, namesto da bi pričakovali, da bo model za ponovno razvrščanje našel pravilnike, ki jih ni na seznamu.</p><p>Model podpira več kot 100 jezikov in lahko prerazvrsti angleško ter neangleško gradivo. Pri poizvedbi z več zahtevami navedite pogoje, zaradi katerih je odlomek uporaben, na primer izdelek, situacijo in potrebni postopek. Pri polstrukturiranih zapisih Cohere priporoča nize YAML namesto podajanja surovih objektov na seznamu dokumentov V2. Smiselna polja, kot sta naslov in vsebina, ohranite v premišljenem vrstnem redu, ker lahko krajšanje odstrani poznejša polja. Ta priprava je uporabna za zapise izdelkov, sporočila in metapodatke dokumentov ter za običajno prozo.</p><p>Vodnik za pripravo za ta model poizvedbo Rerank 4 omeji na prvih 16.384 žetonov. Obdelavo daljših dokumentov opisuje s kosi, ki si kontekst 32.768 žetonov delijo s poizvedbo in rezerviranimi žetoni. Trenutna referenčna dokumentacija V2 ločeno nastavi privzeti max_tokens_per_doc na 4096 in navaja, da se daljši nizi dokumentov odrežejo na to nastavitev. Okno modela in krajšanje dokumentov v proizvajalčevi zahtevi obravnavajte kot različni nastavitvi. Pripravite jedrnate ustrezne odlomke ali izberite primeren obseg dokumenta, namesto da bi predpostavili, da je vsak dolg vir vedno prebran v celoti.</p><p>Za priporočeno zmogljivost zahtev Cohere odsvetuje pošiljanje več kot 1.000 dokumentov hkrati. Pri deljenju večjega seznama v obvladljive skupine ohranite identifikatorje kandidatov. Ocene ustreznosti so normalizirane med 0 in 1, vendar so odvisne od poizvedbe in kandidatov; niso linearno merilo dejanske pravilnosti. Vrstni red uporabite kot glavni rezultat pridobivanja. Če filtrirate po pragu ocene, ga določite z reprezentativnimi poizvedbami in mejno ustreznimi odlomki iz dejanskega področja, namesto da bi predpostavili univerzalno mejo.</p><p>Uporaben končni izdelek je razvrščen seznam kandidatov z identifikatorji virov in ocenami, pripravljen za iskalni rezultat ali korak izbire dokazov. Dokument z visoko oceno ustreznosti lahko še vedno vsebuje zastarele ali napačne informacije, zato ohranite njegov vir in vsebino za fazo, ki ga uporablja. Namen Pro je presoja ustreznosti, ne pisanje prostega odgovora ali ustvarjanje vektorskih vložitev. Pri primerjavi ali izboljševanju poteka pridobivanja ob rezultatu ohranite točno izdajo Pro.</p>",
  "aboutText": "Cohere Rerank 4 Pro je model v Coherovi družini Rerank 4 s poudarkom na kakovosti. Kandidatne dokumente ovrednoti glede na poizvedbo in vrne njihov vrstni red ustreznosti ter ocene. Model je namenjen zapletenim nalogam pridobivanja, vključno z večjezičnimi dokumenti in polstrukturiranimi informacijami. V iskalni potek dela ali potek, obogaten s pridobivanjem podatkov, se umesti po tem, ko obstoječi sistem zbere kandidate: rezultat pomaga izbrati odlomke za prikaz ali za predložitev kot dokaze naslednji fazi.\n\nProizvajalčev identifikator je rerank-v4.0-pro, ločen od rerank-v4.0-fast in rerank-v3.5. Pro je namenjen zapletenim primerom, kjer je kakovost pridobivanja prednostna, Fast pa nižji zakasnitvi in višji prepustnosti. Obe izdaji Rerank 4 uporabljata kontekst 32.768 žetonov. Poizvedba in en kandidatni dokument si delita ta obseg; to ni ločeno polno okno za vsako vhodno polje ali omejitev celotnega shranjenega iskalnega korpusa.\n\nPredložite jasno poizvedbo in seznam kandidatnih besedilnih nizov. Vsak vrnjeni rezultat vsebuje izvirni indeks dokumenta in oceno ustreznosti, top_n pa lahko določi število vrnjenih razvrščenih rezultatov; brez njega proizvajalec vrne vse rezultate. Ob vsakem vhodu ohranite identifikator vira, da je mogoče razvrstitev povezati s točnim odlomkom. Pri podpornem vprašanju vprašajte o zahtevanih pogojih in predložite kandidatne razdelke pravilnika, namesto da bi pričakovali, da bo model za ponovno razvrščanje našel pravilnike, ki jih ni na seznamu.\n\nModel podpira več kot 100 jezikov in lahko prerazvrsti angleško ter neangleško gradivo. Pri poizvedbi z več zahtevami navedite pogoje, zaradi katerih je odlomek uporaben, na primer izdelek, situacijo in potrebni postopek. Pri polstrukturiranih zapisih Cohere priporoča nize YAML namesto podajanja surovih objektov na seznamu dokumentov V2. Smiselna polja, kot sta naslov in vsebina, ohranite v premišljenem vrstnem redu, ker lahko krajšanje odstrani poznejša polja. Ta priprava je uporabna za zapise izdelkov, sporočila in metapodatke dokumentov ter za običajno prozo.\n\nVodnik za pripravo za ta model poizvedbo Rerank 4 omeji na prvih 16.384 žetonov. Obdelavo daljših dokumentov opisuje s kosi, ki si kontekst 32.768 žetonov delijo s poizvedbo in rezerviranimi žetoni. Trenutna referenčna dokumentacija V2 ločeno nastavi privzeti max_tokens_per_doc na 4096 in navaja, da se daljši nizi dokumentov odrežejo na to nastavitev. Okno modela in krajšanje dokumentov v proizvajalčevi zahtevi obravnavajte kot različni nastavitvi. Pripravite jedrnate ustrezne odlomke ali izberite primeren obseg dokumenta, namesto da bi predpostavili, da je vsak dolg vir vedno prebran v celoti.\n\nZa priporočeno zmogljivost zahtev Cohere odsvetuje pošiljanje več kot 1.000 dokumentov hkrati. Pri deljenju večjega seznama v obvladljive skupine ohranite identifikatorje kandidatov. Ocene ustreznosti so normalizirane med 0 in 1, vendar so odvisne od poizvedbe in kandidatov; niso linearno merilo dejanske pravilnosti. Vrstni red uporabite kot glavni rezultat pridobivanja. Če filtrirate po pragu ocene, ga določite z reprezentativnimi poizvedbami in mejno ustreznimi odlomki iz dejanskega področja, namesto da bi predpostavili univerzalno mejo.\n\nUporaben končni izdelek je razvrščen seznam kandidatov z identifikatorji virov in ocenami, pripravljen za iskalni rezultat ali korak izbire dokazov. Dokument z visoko oceno ustreznosti lahko še vedno vsebuje zastarele ali napačne informacije, zato ohranite njegov vir in vsebino za fazo, ki ga uporablja. Namen Pro je presoja ustreznosti, ne pisanje prostega odgovora ali ustvarjanje vektorskih vložitev. Pri primerjavi ali izboljševanju poteka pridobivanja ob rezultatu ohranite točno izdajo Pro.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Cohere: Rerank 4 Pro</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Zapri\">×</button></div><div class=\"idline\"><span>Cohere /</span><code>cohere/rerank-4-pro</code><button type=\"button\" id=\"copy-id\">Kopiraj ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Razdelki kartice modela\"><button type=\"button\" data-card-jump=\"overview\">Začetek</button><button type=\"button\" data-card-jump=\"methods\">Vhodi in metode</button><button type=\"button\" data-card-jump=\"pricing\">Cenik</button><button type=\"button\" data-card-jump=\"examples\">Primeri</button><button type=\"button\" data-card-jump=\"results\">Rezultati</button><button type=\"button\" data-card-jump=\"aliases\">Druga imena</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"Metode 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|rerank|/v1/rerank|cohere%2Frerank-4-pro\">Ponovno razvrščanje</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\">Začetek</h3><p class=\"mdesc-full\">Cohere Rerank 4 Pro kandidatne dokumente uredi po ustreznosti poizvedbi za iskanje in poteke dela, obogatene s pridobivanjem podatkov. Je izdaja Rerank 4 s poudarkom na kakovosti, s kontekstom 32K, večjezično podporo in podporo za polstrukturirano besedilo.</p><dl class=\"card-io\" data-card-io><div><dt>Dovoljeni vhodi</dt><dd>Besedilo</dd></div><div><dt>Rezultati</dt><dd>Razvrščeni rezultati</dd></div></dl><details class=\"card-about\"><summary>O modelu</summary><p class=\"note-s\" data-model-method-boundary>Ta opis zajema zmožnosti modela. Vhodi, izhodi in možnosti, ki so na voljo v Ailoot, so spodaj navedeni za izbrano metodo.</p><div class=\"mabout\" id=\"m-about\"><p>Cohere Rerank 4 Pro je model v Coherovi družini Rerank 4 s poudarkom na kakovosti. Kandidatne dokumente ovrednoti glede na poizvedbo in vrne njihov vrstni red ustreznosti ter ocene. Model je namenjen zapletenim nalogam pridobivanja, vključno z večjezičnimi dokumenti in polstrukturiranimi informacijami. V iskalni potek dela ali potek, obogaten s pridobivanjem podatkov, se umesti po tem, ko obstoječi sistem zbere kandidate: rezultat pomaga izbrati odlomke za prikaz ali za predložitev kot dokaze naslednji fazi.</p><p>Proizvajalčev identifikator je rerank-v4.0-pro, ločen od rerank-v4.0-fast in rerank-v3.5. Pro je namenjen zapletenim primerom, kjer je kakovost pridobivanja prednostna, Fast pa nižji zakasnitvi in višji prepustnosti. Obe izdaji Rerank 4 uporabljata kontekst 32.768 žetonov. Poizvedba in en kandidatni dokument si delita ta obseg; to ni ločeno polno okno za vsako vhodno polje ali omejitev celotnega shranjenega iskalnega korpusa.</p><p>Predložite jasno poizvedbo in seznam kandidatnih besedilnih nizov. Vsak vrnjeni rezultat vsebuje izvirni indeks dokumenta in oceno ustreznosti, top_n pa lahko določi število vrnjenih razvrščenih rezultatov; brez njega proizvajalec vrne vse rezultate. Ob vsakem vhodu ohranite identifikator vira, da je mogoče razvrstitev povezati s točnim odlomkom. Pri podpornem vprašanju vprašajte o zahtevanih pogojih in predložite kandidatne razdelke pravilnika, namesto da bi pričakovali, da bo model za ponovno razvrščanje našel pravilnike, ki jih ni na seznamu.</p><p>Model podpira več kot 100 jezikov in lahko prerazvrsti angleško ter neangleško gradivo. Pri poizvedbi z več zahtevami navedite pogoje, zaradi katerih je odlomek uporaben, na primer izdelek, situacijo in potrebni postopek. Pri polstrukturiranih zapisih Cohere priporoča nize YAML namesto podajanja surovih objektov na seznamu dokumentov V2. Smiselna polja, kot sta naslov in vsebina, ohranite v premišljenem vrstnem redu, ker lahko krajšanje odstrani poznejša polja. Ta priprava je uporabna za zapise izdelkov, sporočila in metapodatke dokumentov ter za običajno prozo.</p><p>Vodnik za pripravo za ta model poizvedbo Rerank 4 omeji na prvih 16.384 žetonov. Obdelavo daljših dokumentov opisuje s kosi, ki si kontekst 32.768 žetonov delijo s poizvedbo in rezerviranimi žetoni. Trenutna referenčna dokumentacija V2 ločeno nastavi privzeti max_tokens_per_doc na 4096 in navaja, da se daljši nizi dokumentov odrežejo na to nastavitev. Okno modela in krajšanje dokumentov v proizvajalčevi zahtevi obravnavajte kot različni nastavitvi. Pripravite jedrnate ustrezne odlomke ali izberite primeren obseg dokumenta, namesto da bi predpostavili, da je vsak dolg vir vedno prebran v celoti.</p><p>Za priporočeno zmogljivost zahtev Cohere odsvetuje pošiljanje več kot 1.000 dokumentov hkrati. Pri deljenju večjega seznama v obvladljive skupine ohranite identifikatorje kandidatov. Ocene ustreznosti so normalizirane med 0 in 1, vendar so odvisne od poizvedbe in kandidatov; niso linearno merilo dejanske pravilnosti. Vrstni red uporabite kot glavni rezultat pridobivanja. Če filtrirate po pragu ocene, ga določite z reprezentativnimi poizvedbami in mejno ustreznimi odlomki iz dejanskega področja, namesto da bi predpostavili univerzalno mejo.</p><p>Uporaben končni izdelek je razvrščen seznam kandidatov z identifikatorji virov in ocenami, pripravljen za iskalni rezultat ali korak izbire dokazov. Dokument z visoko oceno ustreznosti lahko še vedno vsebuje zastarele ali napačne informacije, zato ohranite njegov vir in vsebino za fazo, ki ga uporablja. Namen Pro je presoja ustreznosti, ne pisanje prostega odgovora ali ustvarjanje vektorskih vložitev. Pri primerjavi ali izboljševanju poteka pridobivanja ob rezultatu ohranite točno izdajo Pro.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Na voljo v Ailoot · vhodi in metode</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Ponovno razvrščanje</b> <code>POST /v1/rerank</code></summary><dl class=\"method-capabilities\"><div><dt>Vhod</dt><dd><code>text</code></dd></div><div><dt>Izhod</dt><dd><code>rerank</code></dd></div><div><dt>Izhodni format</dt><dd>json</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Polje</th><th>Vrsta</th><th>Zahteva</th><th>Vrednosti in omejitve</th><th>Privzeto</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">documents</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>array</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Obvezno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>string</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Obvezno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span><div>cohere/rerank-4-pro</div></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>schema</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Izbirno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">query</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>string</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Obvezno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">session_id</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>string</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Izbirno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">top_n</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>integer</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Izbirno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span><div>Najmanj: 1</div></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">trace</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>schema</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Izbirno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">user</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>string</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Izbirno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">documents[].text</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>string</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Izbirno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">documents[].image</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span><code>string</code></td><td data-cell-label=\"Zahteva\"><span class=\"card-cell-label\">Zahteva</span>Izbirno</td><td data-cell-label=\"Vrednosti in omejitve\"><span class=\"card-cell-label\">Vrednosti in omejitve</span></td><td data-cell-label=\"Privzeto\" data-default=\"unspecified\"><span class=\"card-cell-label\">Privzeto</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Kombinacije vhodnih gradiv</summary><p class=\"note-s\"><b>text_rerank</b> · Obvezno: query, documents array with minItems1</p></details><details class=\"note-s\" data-method-contract><summary>Parametri in življenjski cikel metode</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Specifikacija</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=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</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=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>model, query, documents</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=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>text</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=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>provider, session_id, top_n, trace, user</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=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>null</td></tr></tbody></table></div><p>Življenjski cikel: <code>synchronous</code></p><p class=\"note-s\">Pošljite natančni ID modela in ohranite celoten izvorni odgovor.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Cenik</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarifni podatki ne dodajajo možnosti zahteve. Podprti parametri so navedeni pri izbrani metodi.</p><dl data-price-conditions><dt>Hitri način</dt><dd>Ni navedeno <span class=\"note-s\">Ko je izbran hitri način</span></dd><dt>Način flex</dt><dd>Ni navedeno <span class=\"note-s\">Ko je izbran način flex</span></dd><dt>Najvišja raven razmišljanja</dt><dd>Ni navedeno <span class=\"note-s\">Ko najvišja raven razmišljanja uporablja privzeto prilagoditev (default)</span></dd></dl></div><div data-declared-tariff-pricing><h4>Cene Ailoot</h4><h4>Cene po nastavitvah</h4><p class=\"note-s\">Vsak strošek povežite s prikazanimi pogoji. Za vsak nabor alternativnih nastavitev uporabite eno ceno.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Nastavitev</th><th>Cenovna lestvica</th><th>Obračunska enota</th><th>Strošek</th></tr></thead><tbody><tr><th data-cell-label=\"Nastavitev\" scope=\"row\"><span class=\"card-cell-label\">Nastavitev</span>Osnovne cene žetonov</th><td data-cell-label=\"Cenovna lestvica\"><span class=\"card-cell-label\">Cenovna lestvica</span>Osnovna cena</td><td data-cell-label=\"Obračunska enota\"><span class=\"card-cell-label\">Obračunska enota</span>—</td><td data-cell-label=\"Strošek\"><span class=\"card-cell-label\">Strošek</span><div><span>Vhod · Vhodni žetoni</span> <b>—</b> <span class=\"price-unit\">/ 1K žetonov</span></div><div><span>Izhod · Izhodni žetoni</span> <b>—</b> <span class=\"price-unit\">/ 1K žetonov</span></div><div><span>Vhod · Branje predpomnilnika</span> <b>—</b> <span class=\"price-unit\">/ 1K žetonov</span></div><div><span>Vhod · Zapis v predpomnilnik</span> <b>—</b> <span class=\"price-unit\">/ 1K žetonov</span></div><div><span>Vhod · Zapis v predpomnilnik, 1 ura</span> <b>—</b> <span class=\"price-unit\">/ 1K žetonov</span></div></td></tr><tr><th data-cell-label=\"Nastavitev\" scope=\"row\"><span class=\"card-cell-label\">Nastavitev</span>Ultra</th><td data-cell-label=\"Cenovna lestvica\"><span class=\"card-cell-label\">Cenovna lestvica</span>—</td><td data-cell-label=\"Obračunska enota\"><span class=\"card-cell-label\">Obračunska enota</span>na iskalno enoto</td><td data-cell-label=\"Strošek\"><span class=\"card-cell-label\">Strošek</span><div><span>total · enota iskanja</span> <b>$0.005</b> <span class=\"price-unit\">na iskalno enoto</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot pred zahtevo rezervira ocenjeni znesek. Po rezultatu obračuna končni strošek na podlagi izmerjene porabe. Obračun pretakanja uporablja končni zapis porabe. <a href=\"/docs/sl/billing/reserve/\">Kako delujeta rezervacija in obračun →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Primeri zahtev</h3><h4>Ailoot Ultra · Ponovno razvrščanje</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Primeri kode\"><button class=\"cg-tab\" id=\"model-code-1194-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1194-panel-0\" aria-selected=\"true\" tabindex=\"0\">Ohranjena uradna struktura zahteve; dokumentacijski primer</button><button class=\"cg-tab\" id=\"model-code-1194-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-1194-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Uporabite svoje dejansko gradivo za zahtevo in ohranite celoten rezultat</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kopiraj kodo\"><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-1194-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-1194-tab-0\"><pre data-lang=\"json\"><code>{\n  &quot;documents&quot;: [\n    &quot;Paris is the capital of France.&quot;,\n    &quot;Berlin is the capital of Germany.&quot;\n  ],\n  &quot;model&quot;: &quot;cohere/rerank-4-pro&quot;,\n  &quot;query&quot;: &quot;What is the capital of France?&quot;,\n  &quot;top_n&quot;: 3\n}</code></pre></div><div class=\"cg-pane\" id=\"model-code-1194-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-1194-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_REQUEST_FILE:?Set your actual JSON request file}&quot;\nexport AILOOT_REQUEST_FILE\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(Path(os.environ[&#39;AILOOT_REQUEST_FILE&#39;]).read_text(encoding=&#39;utf-8&#39;))\nif not isinstance(p,dict): raise SystemExit(&#39;Request must be a JSON object&#39;)\np[&#39;model&#39;]=&#39;cohere/rerank-4-pro&#39;\nPath(&#39;request.json&#39;).write_text(json.dumps(p,ensure_ascii=False),encoding=&#39;utf-8&#39;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/rerank \\\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\nprint(json.dumps(json.loads(Path(&#39;result.json&#39;).read_text()),ensure_ascii=False,indent=2))\nPY_RESULT\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Prejmi in shrani rezultate</h3><h4>Ailoot Ultra · Ponovno razvrščanje</h4><p class=\"note-s\">json</p><div class=\"card-result-process\" data-all-results><h5>Ohrani vse dokončane rezultate</h5><p class=\"note-s\">Shranite vsak v celoti vrnjen odgovor, datoteko in del vsebine.</p><p class=\"note-s\">Ohranijo se vsak dejanski indeks rezultata, relevance_score s končno vrednostjo in izvirni objekt dokumenta. Indeksi se povezujejo z izvirnim poljem dokumentov. Celoten izvirni JSON se shrani in vrne šele po obračunu.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Če je treba preveriti izvirni odgovor</h5><p class=\"note-s\">Ohranite prvotno operacijo in celoten/delni odgovor; ne ponovite POST.</p></div><details class=\"card-about\" data-output-fields><summary>Polja odgovora</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Polje</th><th>Vrsta</th></tr></thead><tbody><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>string</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">id</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>string</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">provider</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>string</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">results[].index</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>integer</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">results[].relevance_score</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>number</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">results[].document.text</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>string</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">results[].document.image</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>string</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">usage.search_units</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>integer</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">usage.total_tokens</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>integer</td></tr><tr><th data-cell-label=\"Polje\" scope=\"row\"><span class=\"card-cell-label\">Polje</span><code class=\"card-field-name\">usage.cost</code></th><td data-cell-label=\"Vrsta\" data-field-type><span class=\"card-cell-label\">Vrsta</span>number</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Napake in naslednji koraki</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Odgovor</th><th>Pogoj</th><th>Naslednji korak</th></tr></thead><tbody><tr><th data-cell-label=\"Odgovor\" scope=\"row\"><span class=\"card-cell-label\">Odgovor</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Pogoj\"><span class=\"card-cell-label\">Pogoj</span>Neveljavno obvezno polje, predstavitev ali vrednost</td><td data-cell-label=\"Naslednji korak\"><span class=\"card-cell-label\">Naslednji korak</span>Popravite navedeno polje zahteve.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Druga imena</h3><h4>Druga imena modelov</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=cohere%2Frerank-4-pro&amp;route=Ultra&amp;caller=cohere%2Frerank-4-pro&amp;fmt=rerank\"><code>cohere/rerank-4-pro</code></a></span></p><h4>Druga imena poti metod</h4><p class=\"note-s\">Uporabite zgoraj navedene poti metod.</p><h4>Povezani ID-ji za klic</h4><p class=\"note-s\"><a href=\"#m=cohere%2Frerank-4-pro&amp;route=Ultra&amp;caller=cohere%2Frerank-4-pro&amp;fmt=rerank\"><code>cohere/rerank-4-pro</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "cohere/rerank-4-pro",
        "fmt": "rerank",
        "http": "POST",
        "path": "/v1/rerank",
        "request_model_id": "cohere/rerank-4-pro",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|rerank|/v1/rerank|cohere%2Frerank-4-pro",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Every actual result index, finite relevance_score and original document object is retained. Indices bind the original document array. Entire original JSON is stored and returned only after settlement.",
            "errors": [
              {
                "code": null,
                "condition": "Neveljavno obvezno polje, predstavitev ali vrednost",
                "http_status": 400,
                "recovery": "Popravite navedeno polje zahteve.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "cancel": null,
              "idempotency_header": null,
              "job_retrieve": null,
              "mode": "synchronous",
              "streaming": false,
              "unknown": "Ohranite prvotno operacijo in celoten/delni odgovor; ne ponovite POST."
            },
            "material_combinations": [
              {
                "accepted": [
                  "string documents",
                  "objects with text; image only for separately exact-supported multimodal model"
                ],
                "mode": "text_rerank",
                "required": [
                  "query",
                  "documents array with minItems1"
                ]
              }
            ],
            "operation_modes": [
              "rerank"
            ],
            "outputs": {
              "all_results": "Ohranijo se vsak dejanski indeks rezultata, relevance_score s končno vrednostjo in izvirni objekt dokumenta. Indeksi se povezujejo z izvirnim poljem dokumentov. Celoten izvirni JSON se shrani in vrne šele po obračunu.",
              "family": "rerank",
              "fields": [
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "provider",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "results[].index",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "results[].relevance_score",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "results[].document.text",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "results[].document.image",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "usage.search_units",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "usage.total_tokens",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "usage.cost",
                  "type": "number"
                }
              ],
              "format": "json",
              "schema": {
                "description": "Rerank response containing ranked results",
                "example": {
                  "id": "gen-rerank-1234567890-abc",
                  "model": "cohere/rerank-v3.5",
                  "results": [
                    {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    }
                  ],
                  "usage": {
                    "search_units": 1,
                    "total_tokens": 150
                  }
                },
                "properties": {
                  "id": {
                    "description": "Unique identifier for the rerank response (ORID format)",
                    "example": "gen-rerank-1234567890-abc",
                    "type": "string"
                  },
                  "model": {
                    "description": "The model used for reranking",
                    "example": "cohere/rerank-v3.5",
                    "type": "string"
                  },
                  "provider": {
                    "description": "The provider that served the rerank request",
                    "example": "Cohere",
                    "type": "string"
                  },
                  "results": {
                    "description": "List of rerank results sorted by relevance",
                    "example": [
                      {
                        "document": {
                          "text": "Paris is the capital of France."
                        },
                        "index": 0,
                        "relevance_score": 0.98
                      }
                    ],
                    "items": {
                      "description": "A single rerank result",
                      "example": {
                        "document": {
                          "text": "Paris is the capital of France."
                        },
                        "index": 0,
                        "relevance_score": 0.98
                      },
                      "properties": {
                        "document": {
                          "description": "The document object echoing the original input (text and/or image)",
                          "properties": {
                            "image": {
                              "description": "The image (URL or data URI) from the original document",
                              "example": "https://example.com/image.png",
                              "type": "string"
                            },
                            "text": {
                              "description": "The document text",
                              "example": "Paris is the capital of France.",
                              "type": "string"
                            }
                          },
                          "type": "object"
                        },
                        "index": {
                          "description": "Index of the document in the original input list",
                          "example": 0,
                          "type": "integer"
                        },
                        "relevance_score": {
                          "description": "Relevance score of the document to the query",
                          "example": 0.98,
                          "format": "double",
                          "type": "number"
                        }
                      },
                      "required": [
                        "index",
                        "relevance_score",
                        "document"
                      ],
                      "type": "object"
                    },
                    "type": "array"
                  },
                  "usage": {
                    "description": "Usage statistics",
                    "example": {
                      "search_units": 1,
                      "total_tokens": 150
                    },
                    "properties": {
                      "cost": {
                        "description": "Cost of the request in credits",
                        "example": 0.001,
                        "format": "double",
                        "type": "number"
                      },
                      "search_units": {
                        "description": "Number of search units consumed (Cohere billing)",
                        "example": 1,
                        "type": "integer"
                      },
                      "total_tokens": {
                        "description": "Total number of tokens used",
                        "example": 150,
                        "type": "integer"
                      }
                    },
                    "type": "object"
                  }
                },
                "required": [
                  "model",
                  "results"
                ],
                "type": "object"
              }
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "The list of documents to rerank. Documents may be plain strings, or structured objects with `text` and/or `image` for multimodal models.",
                "enum": null,
                "enum_known": false,
                "minItems": 1,
                "name": "documents",
                "required": true,
                "type": "array"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "cohere/rerank-4-pro"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "schema"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "The search query to rerank documents against",
                "enum": null,
                "enum_known": false,
                "name": "query",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "A unique identifier for grouping related requests (e.g., a conversation or agent workflow). Used for observability grouping in Broadcast and private logging; never sent to the provider. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.",
                "enum": null,
                "enum_known": false,
                "maxLength": 256,
                "name": "session_id",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "Number of most relevant documents to return",
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "top_n",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "trace",
                "required": false,
                "type": "schema"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "A unique identifier representing your end-user. Forwarded to Broadcast and private logging as the end-user id; never sent to the provider.",
                "enum": null,
                "enum_known": false,
                "maxLength": 256,
                "name": "user",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "documents[].text",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "Official family image carrier is remote http/https URL or data:image URI; only for exact multimodal-model bindings.",
                "enum": null,
                "enum_known": false,
                "name": "documents[].image",
                "required": false,
                "type": "string"
              }
            ],
            "unsupported": [
              "stream=true"
            ]
          },
          "hints": [
            "Pošljite natančni ID modela in ohranite celoten izvorni odgovor."
          ],
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "multimodal_input_binding": null,
            "optional_controls": [
              "provider",
              "session_id",
              "top_n",
              "trace",
              "user"
            ],
            "required": [
              "model",
              "query",
              "documents"
            ]
          },
          "lifecycle": {
            "cancel": null,
            "idempotency_header": null,
            "job_retrieve": null,
            "mode": "synchronous",
            "streaming": false,
            "unknown": "Preserve original operation and full/partial reply; do not replay POST."
          },
          "manufacturer_capability": {
            "context_length": 32768,
            "manufacturer_input": [
              "text"
            ],
            "manufacturer_output": [
              "rerank"
            ]
          },
          "method": {
            "http": "POST",
            "path": "/v1/rerank"
          },
          "method_aliases": [],
          "operation_modes": [
            "rerank"
          ],
          "output": {
            "all_results": "Every actual result index, finite relevance_score and original document object is retained. Indices bind the original document array. Entire original JSON is stored and returned only after settlement.",
            "family": "rerank",
            "fields": [
              {
                "description": null,
                "name": "model",
                "type": "string"
              },
              {
                "description": null,
                "name": "id",
                "type": "string"
              },
              {
                "description": null,
                "name": "provider",
                "type": "string"
              },
              {
                "description": null,
                "name": "results[].index",
                "type": "integer"
              },
              {
                "description": null,
                "name": "results[].relevance_score",
                "type": "number"
              },
              {
                "description": null,
                "name": "results[].document.text",
                "type": "string"
              },
              {
                "description": null,
                "name": "results[].document.image",
                "type": "string"
              },
              {
                "description": null,
                "name": "usage.search_units",
                "type": "integer"
              },
              {
                "description": null,
                "name": "usage.total_tokens",
                "type": "integer"
              },
              {
                "description": null,
                "name": "usage.cost",
                "type": "number"
              }
            ],
            "format": "json",
            "schema": {
              "description": "Rerank response containing ranked results",
              "example": {
                "id": "gen-rerank-1234567890-abc",
                "model": "cohere/rerank-v3.5",
                "results": [
                  {
                    "document": {
                      "text": "Paris is the capital of France."
                    },
                    "index": 0,
                    "relevance_score": 0.98
                  }
                ],
                "usage": {
                  "search_units": 1,
                  "total_tokens": 150
                }
              },
              "properties": {
                "id": {
                  "description": "Unique identifier for the rerank response (ORID format)",
                  "example": "gen-rerank-1234567890-abc",
                  "type": "string"
                },
                "model": {
                  "description": "The model used for reranking",
                  "example": "cohere/rerank-v3.5",
                  "type": "string"
                },
                "provider": {
                  "description": "The provider that served the rerank request",
                  "example": "Cohere",
                  "type": "string"
                },
                "results": {
                  "description": "List of rerank results sorted by relevance",
                  "example": [
                    {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    }
                  ],
                  "items": {
                    "description": "A single rerank result",
                    "example": {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    },
                    "properties": {
                      "document": {
                        "description": "The document object echoing the original input (text and/or image)",
                        "properties": {
                          "image": {
                            "description": "The image (URL or data URI) from the original document",
                            "example": "https://example.com/image.png",
                            "type": "string"
                          },
                          "text": {
                            "description": "The document text",
                            "example": "Paris is the capital of France.",
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "index": {
                        "description": "Index of the document in the original input list",
                        "example": 0,
                        "type": "integer"
                      },
                      "relevance_score": {
                        "description": "Relevance score of the document to the query",
                        "example": 0.98,
                        "format": "double",
                        "type": "number"
                      }
                    },
                    "required": [
                      "index",
                      "relevance_score",
                      "document"
                    ],
                    "type": "object"
                  },
                  "type": "array"
                },
                "usage": {
                  "description": "Usage statistics",
                  "example": {
                    "search_units": 1,
                    "total_tokens": 150
                  },
                  "properties": {
                    "cost": {
                      "description": "Cost of the request in credits",
                      "example": 0.001,
                      "format": "double",
                      "type": "number"
                    },
                    "search_units": {
                      "description": "Number of search units consumed (Cohere billing)",
                      "example": 1,
                      "type": "integer"
                    },
                    "total_tokens": {
                      "description": "Total number of tokens used",
                      "example": 150,
                      "type": "integer"
                    }
                  },
                  "type": "object"
                }
              },
              "required": [
                "model",
                "results"
              ],
              "type": "object"
            }
          },
          "schema": {
            "request": {
              "description": "Rerank request input",
              "example": {
                "documents": [
                  "Paris is the capital of France.",
                  "Berlin is the capital of Germany."
                ],
                "model": "cohere/rerank-v3.5",
                "query": "What is the capital of France?",
                "top_n": 3
              },
              "properties": {
                "documents": {
                  "description": "The list of documents to rerank. Documents may be plain strings, or structured objects with `text` and/or `image` for multimodal models.",
                  "example": [
                    "Paris is the capital of France.",
                    "Berlin is the capital of Germany."
                  ],
                  "items": {
                    "anyOf": [
                      {
                        "type": "string"
                      },
                      {
                        "description": "A structured document with optional text and/or image content. At least one of `text` or `image` must be provided.",
                        "properties": {
                          "image": {
                            "description": "An image associated with the document, as a remote URL (http/https) or a base64-encoded data URI (data:image/...).",
                            "example": "https://upload.wikimedia.org/wikipedia/commons/thumb/8/8b/Phytogenic.png",
                            "type": "string"
                          },
                          "text": {
                            "description": "The document text",
                            "example": "AI enables robots to perceive, plan, and act autonomously.",
                            "type": "string"
                          }
                        },
                        "type": "object"
                      }
                    ],
                    "description": "A document to rerank. Either a plain string, or a structured object with optional `text` and/or `image`."
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "cohere/rerank-4-pro"
                  ],
                  "type": "string"
                },
                "provider": {
                  "allOf": [
                    {
                      "$ref": "#/components/schemas/ProviderPreferences"
                    },
                    {
                      "description": "Provider routing preferences for the request."
                    }
                  ]
                },
                "query": {
                  "description": "The search query to rerank documents against",
                  "example": "What is the capital of France?",
                  "type": "string"
                },
                "session_id": {
                  "description": "A unique identifier for grouping related requests (e.g., a conversation or agent workflow). Used for observability grouping in Broadcast and private logging; never sent to the provider. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.",
                  "example": "session-1234",
                  "maxLength": 256,
                  "type": "string"
                },
                "top_n": {
                  "description": "Number of most relevant documents to return",
                  "example": 3,
                  "minimum": 1,
                  "type": "integer"
                },
                "trace": {
                  "$ref": "#/components/schemas/TraceConfig"
                },
                "user": {
                  "description": "A unique identifier representing your end-user. Forwarded to Broadcast and private logging as the end-user id; never sent to the provider.",
                  "example": "user-1234",
                  "maxLength": 256,
                  "type": "string"
                }
              },
              "required": [
                "model",
                "query",
                "documents"
              ],
              "type": "object"
            },
            "response": {
              "description": "Rerank response containing ranked results",
              "example": {
                "id": "gen-rerank-1234567890-abc",
                "model": "cohere/rerank-v3.5",
                "results": [
                  {
                    "document": {
                      "text": "Paris is the capital of France."
                    },
                    "index": 0,
                    "relevance_score": 0.98
                  }
                ],
                "usage": {
                  "search_units": 1,
                  "total_tokens": 150
                }
              },
              "properties": {
                "id": {
                  "description": "Unique identifier for the rerank response (ORID format)",
                  "example": "gen-rerank-1234567890-abc",
                  "type": "string"
                },
                "model": {
                  "description": "The model used for reranking",
                  "example": "cohere/rerank-v3.5",
                  "type": "string"
                },
                "provider": {
                  "description": "The provider that served the rerank request",
                  "example": "Cohere",
                  "type": "string"
                },
                "results": {
                  "description": "List of rerank results sorted by relevance",
                  "example": [
                    {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    }
                  ],
                  "items": {
                    "description": "A single rerank result",
                    "example": {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    },
                    "properties": {
                      "document": {
                        "description": "The document object echoing the original input (text and/or image)",
                        "properties": {
                          "image": {
                            "description": "The image (URL or data URI) from the original document",
                            "example": "https://example.com/image.png",
                            "type": "string"
                          },
                          "text": {
                            "description": "The document text",
                            "example": "Paris is the capital of France.",
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "index": {
                        "description": "Index of the document in the original input list",
                        "example": 0,
                        "type": "integer"
                      },
                      "relevance_score": {
                        "description": "Relevance score of the document to the query",
                        "example": 0.98,
                        "format": "double",
                        "type": "number"
                      }
                    },
                    "required": [
                      "index",
                      "relevance_score",
                      "document"
                    ],
                    "type": "object"
                  },
                  "type": "array"
                },
                "usage": {
                  "description": "Usage statistics",
                  "example": {
                    "search_units": 1,
                    "total_tokens": 150
                  },
                  "properties": {
                    "cost": {
                      "description": "Cost of the request in credits",
                      "example": 0.001,
                      "format": "double",
                      "type": "number"
                    },
                    "search_units": {
                      "description": "Number of search units consumed (Cohere billing)",
                      "example": 1,
                      "type": "integer"
                    },
                    "total_tokens": {
                      "description": "Total number of tokens used",
                      "example": 150,
                      "type": "integer"
                    }
                  },
                  "type": "object"
                }
              },
              "required": [
                "model",
                "results"
              ],
              "type": "object"
            }
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": 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"
              }
            ]
          },
          {
            "dimensions": {
              "native_endpoint": "rerank",
              "quoted_unit": "per search unit"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.005",
                "amount_unit": "usd_per_declared_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "search_unit",
                "label": "search unit",
                "native_amount_usd_per_unit": "0.005",
                "native_quantity": 1,
                "public_unit_label": "per search unit",
                "quantity": "1",
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "total",
                "unit": "search_unit"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"documents\": [\n    \"Paris is the capital of France.\",\n    \"Berlin is the capital of Germany.\"\n  ],\n  \"model\": \"cohere/rerank-4-pro\",\n  \"query\": \"What is the capital of France?\",\n  \"top_n\": 3\n}",
            "label": "Retained official request structure; documentary example",
            "language": "json"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_REQUEST_FILE:?Set your actual JSON request file}\"\nexport AILOOT_REQUEST_FILE\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads(Path(os.environ['AILOOT_REQUEST_FILE']).read_text(encoding='utf-8'))\nif not isinstance(p,dict): raise SystemExit('Request must be a JSON object')\np['model']='cohere/rerank-4-pro'\nPath('request.json').write_text(json.dumps(p,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/rerank \\\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\nprint(json.dumps(json.loads(Path('result.json').read_text()),ensure_ascii=False,indent=2))\nPY_RESULT\n",
            "label": "Use your actual request material and retain the complete result",
            "language": "bash",
            "material_policy": "Use real owner-supplied state/questions or query/documents. No invented file ID, document, image URL, job ID or returned result."
          }
        ],
        "family": "rerank",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "rerank",
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Ponovno razvrščanje",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "rerank",
        "out": null,
        "output": [
          "rerank"
        ],
        "path": "/v1/rerank",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "search_unit": 0.005
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": 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"
              }
            ]
          },
          {
            "dimensions": {
              "native_endpoint": "rerank",
              "quoted_unit": "per search unit"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.005",
                "amount_unit": "usd_per_declared_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "search_unit",
                "label": "search unit",
                "native_amount_usd_per_unit": "0.005",
                "native_quantity": 1,
                "public_unit_label": "per search unit",
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                "side": "total",
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        ],
        "request_model_id": "cohere/rerank-4-pro",
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            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
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          },
          {
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            "key": "output_price",
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            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
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            "rate_role": "typed_native_retail_rate",
            "side": "out",
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          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
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            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
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          },
          {
            "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",
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            "unit": "one_hour_cache_creation_token"
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            "amount": "0.005",
            "amount_unit": "usd_per_declared_unit",
            "billing_input": true,
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            "key": "search_unit",
            "label": "search unit",
            "native_amount_usd_per_unit": "0.005",
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            "public_unit_label": "per search unit",
            "quantity": "1",
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "total",
            "unit": "search_unit"
          }
        ]
      }
    }
  ],
  "model_id": "cohere/rerank-4-pro",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "2935e0dfb403933e2c1d474f592d793041e6c494468f80a80c8ca21339f620b8",
    "input_html_sha256": "40d1a92522267574bc488054c3c7bc0ecabbb445f4e9e27fcf3117fbf4ac4bc2",
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    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/sl/cohere-rerank-4-pro/",
    "description": "Cohere Rerank 4 Pro kandidatne dokumente uredi po ustreznosti poizvedbi za iskanje in poteke dela, obogatene s pridobivanjem podatkov. Je izdaja Rerank 4 s poudarkom na kakovosti, s kontekstom 32K, večjezično podporo in podporo za polstrukturirano besedilo.",
    "locale": "sl",
    "md_url": "https://ailoot.ai/models/sl/cohere-rerank-4-pro/index.md",
    "title": "Cohere: Rerank 4 Pro — Ailoot",
    "url": "https://ailoot.ai/models/sl/cohere-rerank-4-pro/"
  },
  "rawModel": {
    "about": "Cohere Rerank 4 Pro je model v Coherovi družini Rerank 4 s poudarkom na kakovosti. Kandidatne dokumente ovrednoti glede na poizvedbo in vrne njihov vrstni red ustreznosti ter ocene. Model je namenjen zapletenim nalogam pridobivanja, vključno z večjezičnimi dokumenti in polstrukturiranimi informacijami. V iskalni potek dela ali potek, obogaten s pridobivanjem podatkov, se umesti po tem, ko obstoječi sistem zbere kandidate: rezultat pomaga izbrati odlomke za prikaz ali za predložitev kot dokaze naslednji fazi.\n\nProizvajalčev identifikator je rerank-v4.0-pro, ločen od rerank-v4.0-fast in rerank-v3.5. Pro je namenjen zapletenim primerom, kjer je kakovost pridobivanja prednostna, Fast pa nižji zakasnitvi in višji prepustnosti. Obe izdaji Rerank 4 uporabljata kontekst 32.768 žetonov. Poizvedba in en kandidatni dokument si delita ta obseg; to ni ločeno polno okno za vsako vhodno polje ali omejitev celotnega shranjenega iskalnega korpusa.\n\nPredložite jasno poizvedbo in seznam kandidatnih besedilnih nizov. Vsak vrnjeni rezultat vsebuje izvirni indeks dokumenta in oceno ustreznosti, top_n pa lahko določi število vrnjenih razvrščenih rezultatov; brez njega proizvajalec vrne vse rezultate. Ob vsakem vhodu ohranite identifikator vira, da je mogoče razvrstitev povezati s točnim odlomkom. Pri podpornem vprašanju vprašajte o zahtevanih pogojih in predložite kandidatne razdelke pravilnika, namesto da bi pričakovali, da bo model za ponovno razvrščanje našel pravilnike, ki jih ni na seznamu.\n\nModel podpira več kot 100 jezikov in lahko prerazvrsti angleško ter neangleško gradivo. Pri poizvedbi z več zahtevami navedite pogoje, zaradi katerih je odlomek uporaben, na primer izdelek, situacijo in potrebni postopek. Pri polstrukturiranih zapisih Cohere priporoča nize YAML namesto podajanja surovih objektov na seznamu dokumentov V2. Smiselna polja, kot sta naslov in vsebina, ohranite v premišljenem vrstnem redu, ker lahko krajšanje odstrani poznejša polja. Ta priprava je uporabna za zapise izdelkov, sporočila in metapodatke dokumentov ter za običajno prozo.\n\nVodnik za pripravo za ta model poizvedbo Rerank 4 omeji na prvih 16.384 žetonov. Obdelavo daljših dokumentov opisuje s kosi, ki si kontekst 32.768 žetonov delijo s poizvedbo in rezerviranimi žetoni. Trenutna referenčna dokumentacija V2 ločeno nastavi privzeti max_tokens_per_doc na 4096 in navaja, da se daljši nizi dokumentov odrežejo na to nastavitev. Okno modela in krajšanje dokumentov v proizvajalčevi zahtevi obravnavajte kot različni nastavitvi. Pripravite jedrnate ustrezne odlomke ali izberite primeren obseg dokumenta, namesto da bi predpostavili, da je vsak dolg vir vedno prebran v celoti.\n\nZa priporočeno zmogljivost zahtev Cohere odsvetuje pošiljanje več kot 1.000 dokumentov hkrati. Pri deljenju večjega seznama v obvladljive skupine ohranite identifikatorje kandidatov. Ocene ustreznosti so normalizirane med 0 in 1, vendar so odvisne od poizvedbe in kandidatov; niso linearno merilo dejanske pravilnosti. Vrstni red uporabite kot glavni rezultat pridobivanja. Če filtrirate po pragu ocene, ga določite z reprezentativnimi poizvedbami in mejno ustreznimi odlomki iz dejanskega področja, namesto da bi predpostavili univerzalno mejo.\n\nUporaben končni izdelek je razvrščen seznam kandidatov z identifikatorji virov in ocenami, pripravljen za iskalni rezultat ali korak izbire dokazov. Dokument z visoko oceno ustreznosti lahko še vedno vsebuje zastarele ali napačne informacije, zato ohranite njegov vir in vsebino za fazo, ki ga uporablja. Namen Pro je presoja ustreznosti, ne pisanje prostega odgovora ali ustvarjanje vektorskih vložitev. Pri primerjavi ali izboljševanju poteka pridobivanja ob rezultatu ohranite točno izdajo Pro.",
    "alias_of": null,
    "aliases": [],
    "author": "Cohere",
    "available": null,
    "canonical_model": "cohere/rerank-4-pro",
    "capabilities": {
      "context_length": 32768,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "rerank"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.005",
            "amount_unit": "usd_per_declared_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "search_unit",
            "label": "search unit",
            "native_amount_usd_per_unit": "0.005",
            "native_quantity": 1,
            "public_unit_label": "per search unit",
            "quantity": "1",
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "total",
            "unit": "search_unit"
          }
        ],
        "summary": "Celoten cenik konfiguracije je v podrobnostih."
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "rerank"
    ],
    "id": "cohere/rerank-4-pro",
    "input": [
      "text"
    ],
    "kind": "rerank",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Every actual result index, finite relevance_score and original document object is retained. Indices bind the original document array. Entire original JSON is stored and returned only after settlement.",
            "errors": [
              {
                "code": null,
                "condition": "Neveljavno obvezno polje, predstavitev ali vrednost",
                "http_status": 400,
                "recovery": "Popravite navedeno polje zahteve.",
                "type": "invalid_request_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "cancel": null,
              "idempotency_header": null,
              "job_retrieve": null,
              "mode": "synchronous",
              "streaming": false,
              "unknown": "Ohranite prvotno operacijo in celoten/delni odgovor; ne ponovite POST."
            },
            "material_combinations": [
              {
                "accepted": [
                  "string documents",
                  "objects with text; image only for separately exact-supported multimodal model"
                ],
                "mode": "text_rerank",
                "required": [
                  "query",
                  "documents array with minItems1"
                ]
              }
            ],
            "operation_modes": [
              "rerank"
            ],
            "outputs": {
              "all_results": "Ohranijo se vsak dejanski indeks rezultata, relevance_score s končno vrednostjo in izvirni objekt dokumenta. Indeksi se povezujejo z izvirnim poljem dokumentov. Celoten izvirni JSON se shrani in vrne šele po obračunu.",
              "family": "rerank",
              "fields": [
                {
                  "description": null,
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "provider",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "results[].index",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "results[].relevance_score",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "results[].document.text",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "results[].document.image",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "usage.search_units",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "usage.total_tokens",
                  "type": "integer"
                },
                {
                  "description": null,
                  "name": "usage.cost",
                  "type": "number"
                }
              ],
              "format": "json",
              "schema": {
                "description": "Rerank response containing ranked results",
                "example": {
                  "id": "gen-rerank-1234567890-abc",
                  "model": "cohere/rerank-v3.5",
                  "results": [
                    {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    }
                  ],
                  "usage": {
                    "search_units": 1,
                    "total_tokens": 150
                  }
                },
                "properties": {
                  "id": {
                    "description": "Unique identifier for the rerank response (ORID format)",
                    "example": "gen-rerank-1234567890-abc",
                    "type": "string"
                  },
                  "model": {
                    "description": "The model used for reranking",
                    "example": "cohere/rerank-v3.5",
                    "type": "string"
                  },
                  "provider": {
                    "description": "The provider that served the rerank request",
                    "example": "Cohere",
                    "type": "string"
                  },
                  "results": {
                    "description": "List of rerank results sorted by relevance",
                    "example": [
                      {
                        "document": {
                          "text": "Paris is the capital of France."
                        },
                        "index": 0,
                        "relevance_score": 0.98
                      }
                    ],
                    "items": {
                      "description": "A single rerank result",
                      "example": {
                        "document": {
                          "text": "Paris is the capital of France."
                        },
                        "index": 0,
                        "relevance_score": 0.98
                      },
                      "properties": {
                        "document": {
                          "description": "The document object echoing the original input (text and/or image)",
                          "properties": {
                            "image": {
                              "description": "The image (URL or data URI) from the original document",
                              "example": "https://example.com/image.png",
                              "type": "string"
                            },
                            "text": {
                              "description": "The document text",
                              "example": "Paris is the capital of France.",
                              "type": "string"
                            }
                          },
                          "type": "object"
                        },
                        "index": {
                          "description": "Index of the document in the original input list",
                          "example": 0,
                          "type": "integer"
                        },
                        "relevance_score": {
                          "description": "Relevance score of the document to the query",
                          "example": 0.98,
                          "format": "double",
                          "type": "number"
                        }
                      },
                      "required": [
                        "index",
                        "relevance_score",
                        "document"
                      ],
                      "type": "object"
                    },
                    "type": "array"
                  },
                  "usage": {
                    "description": "Usage statistics",
                    "example": {
                      "search_units": 1,
                      "total_tokens": 150
                    },
                    "properties": {
                      "cost": {
                        "description": "Cost of the request in credits",
                        "example": 0.001,
                        "format": "double",
                        "type": "number"
                      },
                      "search_units": {
                        "description": "Number of search units consumed (Cohere billing)",
                        "example": 1,
                        "type": "integer"
                      },
                      "total_tokens": {
                        "description": "Total number of tokens used",
                        "example": 150,
                        "type": "integer"
                      }
                    },
                    "type": "object"
                  }
                },
                "required": [
                  "model",
                  "results"
                ],
                "type": "object"
              }
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "The list of documents to rerank. Documents may be plain strings, or structured objects with `text` and/or `image` for multimodal models.",
                "enum": null,
                "enum_known": false,
                "minItems": 1,
                "name": "documents",
                "required": true,
                "type": "array"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "cohere/rerank-4-pro"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "provider",
                "required": false,
                "type": "schema"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "The search query to rerank documents against",
                "enum": null,
                "enum_known": false,
                "name": "query",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "A unique identifier for grouping related requests (e.g., a conversation or agent workflow). Used for observability grouping in Broadcast and private logging; never sent to the provider. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.",
                "enum": null,
                "enum_known": false,
                "maxLength": 256,
                "name": "session_id",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "Number of most relevant documents to return",
                "enum": null,
                "enum_known": false,
                "minimum": 1,
                "name": "top_n",
                "required": false,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "trace",
                "required": false,
                "type": "schema"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "A unique identifier representing your end-user. Forwarded to Broadcast and private logging as the end-user id; never sent to the provider.",
                "enum": null,
                "enum_known": false,
                "maxLength": 256,
                "name": "user",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "documents[].text",
                "required": false,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "description": "Official family image carrier is remote http/https URL or data:image URI; only for exact multimodal-model bindings.",
                "enum": null,
                "enum_known": false,
                "name": "documents[].image",
                "required": false,
                "type": "string"
              }
            ],
            "unsupported": [
              "stream=true"
            ]
          },
          "hints": [
            "Pošljite natančni ID modela in ohranite celoten izvorni odgovor."
          ],
          "input": {
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "multimodal_input_binding": null,
            "optional_controls": [
              "provider",
              "session_id",
              "top_n",
              "trace",
              "user"
            ],
            "required": [
              "model",
              "query",
              "documents"
            ]
          },
          "lifecycle": {
            "cancel": null,
            "idempotency_header": null,
            "job_retrieve": null,
            "mode": "synchronous",
            "streaming": false,
            "unknown": "Preserve original operation and full/partial reply; do not replay POST."
          },
          "manufacturer_capability": {
            "context_length": 32768,
            "manufacturer_input": [
              "text"
            ],
            "manufacturer_output": [
              "rerank"
            ]
          },
          "method": {
            "http": "POST",
            "path": "/v1/rerank"
          },
          "method_aliases": [],
          "operation_modes": [
            "rerank"
          ],
          "output": {
            "all_results": "Every actual result index, finite relevance_score and original document object is retained. Indices bind the original document array. Entire original JSON is stored and returned only after settlement.",
            "family": "rerank",
            "fields": [
              {
                "description": null,
                "name": "model",
                "type": "string"
              },
              {
                "description": null,
                "name": "id",
                "type": "string"
              },
              {
                "description": null,
                "name": "provider",
                "type": "string"
              },
              {
                "description": null,
                "name": "results[].index",
                "type": "integer"
              },
              {
                "description": null,
                "name": "results[].relevance_score",
                "type": "number"
              },
              {
                "description": null,
                "name": "results[].document.text",
                "type": "string"
              },
              {
                "description": null,
                "name": "results[].document.image",
                "type": "string"
              },
              {
                "description": null,
                "name": "usage.search_units",
                "type": "integer"
              },
              {
                "description": null,
                "name": "usage.total_tokens",
                "type": "integer"
              },
              {
                "description": null,
                "name": "usage.cost",
                "type": "number"
              }
            ],
            "format": "json",
            "schema": {
              "description": "Rerank response containing ranked results",
              "example": {
                "id": "gen-rerank-1234567890-abc",
                "model": "cohere/rerank-v3.5",
                "results": [
                  {
                    "document": {
                      "text": "Paris is the capital of France."
                    },
                    "index": 0,
                    "relevance_score": 0.98
                  }
                ],
                "usage": {
                  "search_units": 1,
                  "total_tokens": 150
                }
              },
              "properties": {
                "id": {
                  "description": "Unique identifier for the rerank response (ORID format)",
                  "example": "gen-rerank-1234567890-abc",
                  "type": "string"
                },
                "model": {
                  "description": "The model used for reranking",
                  "example": "cohere/rerank-v3.5",
                  "type": "string"
                },
                "provider": {
                  "description": "The provider that served the rerank request",
                  "example": "Cohere",
                  "type": "string"
                },
                "results": {
                  "description": "List of rerank results sorted by relevance",
                  "example": [
                    {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    }
                  ],
                  "items": {
                    "description": "A single rerank result",
                    "example": {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    },
                    "properties": {
                      "document": {
                        "description": "The document object echoing the original input (text and/or image)",
                        "properties": {
                          "image": {
                            "description": "The image (URL or data URI) from the original document",
                            "example": "https://example.com/image.png",
                            "type": "string"
                          },
                          "text": {
                            "description": "The document text",
                            "example": "Paris is the capital of France.",
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "index": {
                        "description": "Index of the document in the original input list",
                        "example": 0,
                        "type": "integer"
                      },
                      "relevance_score": {
                        "description": "Relevance score of the document to the query",
                        "example": 0.98,
                        "format": "double",
                        "type": "number"
                      }
                    },
                    "required": [
                      "index",
                      "relevance_score",
                      "document"
                    ],
                    "type": "object"
                  },
                  "type": "array"
                },
                "usage": {
                  "description": "Usage statistics",
                  "example": {
                    "search_units": 1,
                    "total_tokens": 150
                  },
                  "properties": {
                    "cost": {
                      "description": "Cost of the request in credits",
                      "example": 0.001,
                      "format": "double",
                      "type": "number"
                    },
                    "search_units": {
                      "description": "Number of search units consumed (Cohere billing)",
                      "example": 1,
                      "type": "integer"
                    },
                    "total_tokens": {
                      "description": "Total number of tokens used",
                      "example": 150,
                      "type": "integer"
                    }
                  },
                  "type": "object"
                }
              },
              "required": [
                "model",
                "results"
              ],
              "type": "object"
            }
          },
          "schema": {
            "request": {
              "description": "Rerank request input",
              "example": {
                "documents": [
                  "Paris is the capital of France.",
                  "Berlin is the capital of Germany."
                ],
                "model": "cohere/rerank-v3.5",
                "query": "What is the capital of France?",
                "top_n": 3
              },
              "properties": {
                "documents": {
                  "description": "The list of documents to rerank. Documents may be plain strings, or structured objects with `text` and/or `image` for multimodal models.",
                  "example": [
                    "Paris is the capital of France.",
                    "Berlin is the capital of Germany."
                  ],
                  "items": {
                    "anyOf": [
                      {
                        "type": "string"
                      },
                      {
                        "description": "A structured document with optional text and/or image content. At least one of `text` or `image` must be provided.",
                        "properties": {
                          "image": {
                            "description": "An image associated with the document, as a remote URL (http/https) or a base64-encoded data URI (data:image/...).",
                            "example": "https://upload.wikimedia.org/wikipedia/commons/thumb/8/8b/Phytogenic.png",
                            "type": "string"
                          },
                          "text": {
                            "description": "The document text",
                            "example": "AI enables robots to perceive, plan, and act autonomously.",
                            "type": "string"
                          }
                        },
                        "type": "object"
                      }
                    ],
                    "description": "A document to rerank. Either a plain string, or a structured object with optional `text` and/or `image`."
                  },
                  "minItems": 1,
                  "type": "array"
                },
                "model": {
                  "enum": [
                    "cohere/rerank-4-pro"
                  ],
                  "type": "string"
                },
                "provider": {
                  "allOf": [
                    {
                      "$ref": "#/components/schemas/ProviderPreferences"
                    },
                    {
                      "description": "Provider routing preferences for the request."
                    }
                  ]
                },
                "query": {
                  "description": "The search query to rerank documents against",
                  "example": "What is the capital of France?",
                  "type": "string"
                },
                "session_id": {
                  "description": "A unique identifier for grouping related requests (e.g., a conversation or agent workflow). Used for observability grouping in Broadcast and private logging; never sent to the provider. If provided in both the request body and the x-session-id header, the body value takes precedence. Maximum of 256 characters.",
                  "example": "session-1234",
                  "maxLength": 256,
                  "type": "string"
                },
                "top_n": {
                  "description": "Number of most relevant documents to return",
                  "example": 3,
                  "minimum": 1,
                  "type": "integer"
                },
                "trace": {
                  "$ref": "#/components/schemas/TraceConfig"
                },
                "user": {
                  "description": "A unique identifier representing your end-user. Forwarded to Broadcast and private logging as the end-user id; never sent to the provider.",
                  "example": "user-1234",
                  "maxLength": 256,
                  "type": "string"
                }
              },
              "required": [
                "model",
                "query",
                "documents"
              ],
              "type": "object"
            },
            "response": {
              "description": "Rerank response containing ranked results",
              "example": {
                "id": "gen-rerank-1234567890-abc",
                "model": "cohere/rerank-v3.5",
                "results": [
                  {
                    "document": {
                      "text": "Paris is the capital of France."
                    },
                    "index": 0,
                    "relevance_score": 0.98
                  }
                ],
                "usage": {
                  "search_units": 1,
                  "total_tokens": 150
                }
              },
              "properties": {
                "id": {
                  "description": "Unique identifier for the rerank response (ORID format)",
                  "example": "gen-rerank-1234567890-abc",
                  "type": "string"
                },
                "model": {
                  "description": "The model used for reranking",
                  "example": "cohere/rerank-v3.5",
                  "type": "string"
                },
                "provider": {
                  "description": "The provider that served the rerank request",
                  "example": "Cohere",
                  "type": "string"
                },
                "results": {
                  "description": "List of rerank results sorted by relevance",
                  "example": [
                    {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    }
                  ],
                  "items": {
                    "description": "A single rerank result",
                    "example": {
                      "document": {
                        "text": "Paris is the capital of France."
                      },
                      "index": 0,
                      "relevance_score": 0.98
                    },
                    "properties": {
                      "document": {
                        "description": "The document object echoing the original input (text and/or image)",
                        "properties": {
                          "image": {
                            "description": "The image (URL or data URI) from the original document",
                            "example": "https://example.com/image.png",
                            "type": "string"
                          },
                          "text": {
                            "description": "The document text",
                            "example": "Paris is the capital of France.",
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "index": {
                        "description": "Index of the document in the original input list",
                        "example": 0,
                        "type": "integer"
                      },
                      "relevance_score": {
                        "description": "Relevance score of the document to the query",
                        "example": 0.98,
                        "format": "double",
                        "type": "number"
                      }
                    },
                    "required": [
                      "index",
                      "relevance_score",
                      "document"
                    ],
                    "type": "object"
                  },
                  "type": "array"
                },
                "usage": {
                  "description": "Usage statistics",
                  "example": {
                    "search_units": 1,
                    "total_tokens": 150
                  },
                  "properties": {
                    "cost": {
                      "description": "Cost of the request in credits",
                      "example": 0.001,
                      "format": "double",
                      "type": "number"
                    },
                    "search_units": {
                      "description": "Number of search units consumed (Cohere billing)",
                      "example": 1,
                      "type": "integer"
                    },
                    "total_tokens": {
                      "description": "Total number of tokens used",
                      "example": 150,
                      "type": "integer"
                    }
                  },
                  "type": "object"
                }
              },
              "required": [
                "model",
                "results"
              ],
              "type": "object"
            }
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": 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"
              }
            ]
          },
          {
            "dimensions": {
              "native_endpoint": "rerank",
              "quoted_unit": "per search unit"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.005",
                "amount_unit": "usd_per_declared_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "search_unit",
                "label": "search unit",
                "native_amount_usd_per_unit": "0.005",
                "native_quantity": 1,
                "public_unit_label": "per search unit",
                "quantity": "1",
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "total",
                "unit": "search_unit"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"documents\": [\n    \"Paris is the capital of France.\",\n    \"Berlin is the capital of Germany.\"\n  ],\n  \"model\": \"cohere/rerank-4-pro\",\n  \"query\": \"What is the capital of France?\",\n  \"top_n\": 3\n}",
            "label": "Retained official request structure; documentary example",
            "language": "json"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_REQUEST_FILE:?Set your actual JSON request file}\"\nexport AILOOT_REQUEST_FILE\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads(Path(os.environ['AILOOT_REQUEST_FILE']).read_text(encoding='utf-8'))\nif not isinstance(p,dict): raise SystemExit('Request must be a JSON object')\np['model']='cohere/rerank-4-pro'\nPath('request.json').write_text(json.dumps(p,ensure_ascii=False),encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/rerank \\\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\nprint(json.dumps(json.loads(Path('result.json').read_text()),ensure_ascii=False,indent=2))\nPY_RESULT\n",
            "label": "Use your actual request material and retain the complete result",
            "language": "bash",
            "material_policy": "Use real owner-supplied state/questions or query/documents. No invented file ID, document, image URL, job ID or returned result."
          }
        ],
        "family": "rerank",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "rerank",
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Ponovno razvrščanje",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "native_endpoint": "rerank",
        "out": null,
        "output": [
          "rerank"
        ],
        "path": "/v1/rerank",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "search_unit": 0.005
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": 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"
              }
            ]
          },
          {
            "dimensions": {
              "native_endpoint": "rerank",
              "quoted_unit": "per search unit"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.005",
                "amount_unit": "usd_per_declared_unit",
                "billing_input": true,
                "estimate_only": false,
                "key": "search_unit",
                "label": "search unit",
                "native_amount_usd_per_unit": "0.005",
                "native_quantity": 1,
                "public_unit_label": "per search unit",
                "quantity": "1",
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "total",
                "unit": "search_unit"
              }
            ]
          }
        ],
        "request_model_id": "cohere/rerank-4-pro",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": 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"
          },
          {
            "amount": "0.005",
            "amount_unit": "usd_per_declared_unit",
            "billing_input": true,
            "estimate_only": false,
            "key": "search_unit",
            "label": "search unit",
            "native_amount_usd_per_unit": "0.005",
            "native_quantity": 1,
            "public_unit_label": "per search unit",
            "quantity": "1",
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "total",
            "unit": "search_unit"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "cohere/rerank-4-pro",
        "request_model_id": "cohere/rerank-4-pro",
        "route_label": "Ultra"
      }
    ],
    "name": "Cohere: Rerank 4 Pro",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "public_id": "cohere/rerank-4-pro",
    "short": "Cohere Rerank 4 Pro kandidatne dokumente uredi po ustreznosti poizvedbi za iskanje in poteke dela, obogatene s pridobivanjem podatkov. Je izdaja Rerank 4 s poudarkom na kakovosti, s kontekstom 32K, večjezično podporo in podporo za polstrukturirano besedilo."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Cohere Rerank 4 Pro kandidatne dokumente uredi po ustreznosti poizvedbi za iskanje in poteke dela, obogatene s pridobivanjem podatkov. Je izdaja Rerank 4 s poudarkom na kakovosti, s kontekstom 32K, večjezično podporo in podporo za polstrukturirano besedilo.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "a84d77656971511b7c445598f78b2aca11d4b1db335f9cccdfa2ed9527acc4c4",
    "renderer_sha256": "dcba2271c18b0f9570a8b166e8d1e3166f121e096a58609c3a46da31562a1bf2"
  },
  "sourceRevision": "755deafd111eac715c88c4683b5dce16d1a45c19038a4fe248a1b107d70eca64"
}