{ "aboutHtml": "

Cohere Rerank 4 Pro je model rodiny Rerank 4 od Cohere zameraný na kvalitu. Hodnotí kandidátske dokumenty oproti dopytu a vracia ich poradie relevantnosti a skóre. Model je určený na zložité vyhľadávacie úlohy vrátane viacjazyčných dokumentov a pološtruktúrovaných informácií. Zapadá do vyhľadávacieho alebo vyhľadávaním rozšíreného postupu po tom, ako existujúci systém zhromaždí kandidátov: výsledok pomáha vybrať pasáže na zobrazenie alebo dodanie ako dôkaz do ďalšieho kroku.

Identifikátor výrobcu je rerank-v4.0-pro, samostatný oproti rerank-v4.0-fast a rerank-v3.5. Pro je určený na zložité prípady, kde je prioritou kvalita vyhľadávania, zatiaľ čo Fast cieli na nižšiu latenciu a vyššiu priepustnosť. Obe edície Rerank 4 používajú kontext 32 768 tokenov. Dopyt a jeden kandidátsky dokument zdieľajú tento rozpočet; nejde o samostatné celé okno pre každé vstupné pole ani limit celého uloženého vyhľadávacieho korpusu.

Dodajte jasný dopyt a zoznam kandidátskych textových reťazcov. Každý vrátený výsledok obsahuje pôvodný index dokumentu a skóre relevantnosti a top_n môže vybrať počet vrátených zoradených výsledkov; bez neho výrobca vracia všetky výsledky. Pri každom vstupe uchovajte identifikátor zdroja, aby sa poradie dalo prepojiť s presnou pasážou. Pri otázke podpory sa pýtajte na potrebné podmienky a dodajte kandidátske sekcie pravidiel namiesto očakávania, že reranker nájde pravidlá, ktoré v zozname neboli.

Model podporuje viac než 100 jazykov a dokáže preusporiadať anglický aj neanglický materiál. Pri dopyte s viacerými požiadavkami určte podmienky užitočnosti pasáže, napríklad produkt, situáciu a potrebný postup. Pri pološtruktúrovaných záznamoch Cohere odporúča reťazce YAML namiesto odovzdávania surových objektov v zozname dokumentov V2. Zmysluplné polia ako názov a obsah uchovajte v zámernom poradí, pretože skracovanie môže odstrániť neskoršie polia. Táto príprava je užitočná pre produktové záznamy, správy a metadáta dokumentov aj bežný text.

Sprievodca prípravou konkrétneho modelu obmedzuje dopyt Rerank 4 na prvých 16 384 tokenov. Opisuje spracovanie dlhších dokumentov cez bloky zdieľajúce kontext 32 768 tokenov s dopytom a rezervovanými tokenmi. Aktuálna referenčná dokumentácia V2 samostatne nastavuje predvolené max_tokens_per_doc na 4096 a uvádza, že dlhšie reťazce dokumentov sa na toto nastavenie skracujú. Okno modelu a skracovanie dokumentu v požiadavke výrobcu považujte za odlišné ovládacie prvky. Pripravte stručné relevantné pasáže alebo zvoľte primeraný rozpočet dokumentu namiesto predpokladu, že sa každý dlhý zdroj vždy prečíta celý.

Pre odporúčaný výkon požiadavky Cohere neodporúča posielať viac než 1 000 dokumentov naraz. Pri delení väčšieho zoznamu do zvládnuteľných skupín zachovajte identifikátory kandidátov. Skóre relevantnosti sú normalizované medzi 0 a 1, no závisia od dopytu a kandidátov; nie sú lineárnou mierou faktickej správnosti. Poradie používajte ako hlavný výsledok vyhľadávania. Pri filtrovaní podľa prahu skóre ho určte reprezentatívnymi dopytmi a hranične relevantnými pasážami zo skutočnej domény namiesto predpokladu univerzálnej hranice.

Užitočným konečným artefaktom je zoradený zoznam kandidátov s identifikátormi zdrojov a skóre pripravený na výsledok vyhľadávania alebo krok výberu dôkazov. Dokument s vysokým skóre relevantnosti môže stále obsahovať zastarané alebo nesprávne informácie, preto zachovajte jeho zdroj a obsah pre krok, ktorý ho použije. Účelom Pro je posudzovanie relevantnosti, nie písanie voľnej odpovede ani generovanie embeddingov. Pri porovnávaní alebo spresňovaní vyhľadávacieho postupu uchovajte pri výsledku presnú edíciu Pro.

", "aboutText": "Cohere Rerank 4 Pro je model rodiny Rerank 4 od Cohere zameraný na kvalitu. Hodnotí kandidátske dokumenty oproti dopytu a vracia ich poradie relevantnosti a skóre. Model je určený na zložité vyhľadávacie úlohy vrátane viacjazyčných dokumentov a pološtruktúrovaných informácií. Zapadá do vyhľadávacieho alebo vyhľadávaním rozšíreného postupu po tom, ako existujúci systém zhromaždí kandidátov: výsledok pomáha vybrať pasáže na zobrazenie alebo dodanie ako dôkaz do ďalšieho kroku.\n\nIdentifikátor výrobcu je rerank-v4.0-pro, samostatný oproti rerank-v4.0-fast a rerank-v3.5. Pro je určený na zložité prípady, kde je prioritou kvalita vyhľadávania, zatiaľ čo Fast cieli na nižšiu latenciu a vyššiu priepustnosť. Obe edície Rerank 4 používajú kontext 32 768 tokenov. Dopyt a jeden kandidátsky dokument zdieľajú tento rozpočet; nejde o samostatné celé okno pre každé vstupné pole ani limit celého uloženého vyhľadávacieho korpusu.\n\nDodajte jasný dopyt a zoznam kandidátskych textových reťazcov. Každý vrátený výsledok obsahuje pôvodný index dokumentu a skóre relevantnosti a top_n môže vybrať počet vrátených zoradených výsledkov; bez neho výrobca vracia všetky výsledky. Pri každom vstupe uchovajte identifikátor zdroja, aby sa poradie dalo prepojiť s presnou pasážou. Pri otázke podpory sa pýtajte na potrebné podmienky a dodajte kandidátske sekcie pravidiel namiesto očakávania, že reranker nájde pravidlá, ktoré v zozname neboli.\n\nModel podporuje viac než 100 jazykov a dokáže preusporiadať anglický aj neanglický materiál. Pri dopyte s viacerými požiadavkami určte podmienky užitočnosti pasáže, napríklad produkt, situáciu a potrebný postup. Pri pološtruktúrovaných záznamoch Cohere odporúča reťazce YAML namiesto odovzdávania surových objektov v zozname dokumentov V2. Zmysluplné polia ako názov a obsah uchovajte v zámernom poradí, pretože skracovanie môže odstrániť neskoršie polia. Táto príprava je užitočná pre produktové záznamy, správy a metadáta dokumentov aj bežný text.\n\nSprievodca prípravou konkrétneho modelu obmedzuje dopyt Rerank 4 na prvých 16 384 tokenov. Opisuje spracovanie dlhších dokumentov cez bloky zdieľajúce kontext 32 768 tokenov s dopytom a rezervovanými tokenmi. Aktuálna referenčná dokumentácia V2 samostatne nastavuje predvolené max_tokens_per_doc na 4096 a uvádza, že dlhšie reťazce dokumentov sa na toto nastavenie skracujú. Okno modelu a skracovanie dokumentu v požiadavke výrobcu považujte za odlišné ovládacie prvky. Pripravte stručné relevantné pasáže alebo zvoľte primeraný rozpočet dokumentu namiesto predpokladu, že sa každý dlhý zdroj vždy prečíta celý.\n\nPre odporúčaný výkon požiadavky Cohere neodporúča posielať viac než 1 000 dokumentov naraz. Pri delení väčšieho zoznamu do zvládnuteľných skupín zachovajte identifikátory kandidátov. Skóre relevantnosti sú normalizované medzi 0 a 1, no závisia od dopytu a kandidátov; nie sú lineárnou mierou faktickej správnosti. Poradie používajte ako hlavný výsledok vyhľadávania. Pri filtrovaní podľa prahu skóre ho určte reprezentatívnymi dopytmi a hranične relevantnými pasážami zo skutočnej domény namiesto predpokladu univerzálnej hranice.\n\nUžitočným konečným artefaktom je zoradený zoznam kandidátov s identifikátormi zdrojov a skóre pripravený na výsledok vyhľadávania alebo krok výberu dôkazov. Dokument s vysokým skóre relevantnosti môže stále obsahovať zastarané alebo nesprávne informácie, preto zachovajte jeho zdroj a obsah pre krok, ktorý ho použije. Účelom Pro je posudzovanie relevantnosti, nie písanie voľnej odpovede ani generovanie embeddingov. Pri porovnávaní alebo spresňovaní vyhľadávacieho postupu uchovajte pri výsledku presnú edíciu Pro.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "d3f48d6eaf3c286543925df382ad1e112f0417f92f9573a16769f3af50b3ff8c", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "sk", "methods": [ { "html": "
•

Cohere: Rerank 4 Pro

Cohere /cohere/rerank-4-pro

Úvod

Cohere Rerank 4 Pro zoraďuje kandidátske dokumenty podľa relevantnosti pre dopyt vo vyhľadávaní a postupoch rozšírených vyhľadávaním. Je to edícia Rerank 4 zameraná na kvalitu s kontextom 32K, viacjazyčným pokrytím a podporou pološtruktúrovaného textu.

Povolené vstupy
Text
Výsledky
Zoradené výsledky
O modeli

Tento opis pokrýva možnosti modelu. Dostupné vstupy, výstupy a voľby v Ailoot sú uvedené nižšie pre vybranú metódu.

Cohere Rerank 4 Pro je model rodiny Rerank 4 od Cohere zameraný na kvalitu. Hodnotí kandidátske dokumenty oproti dopytu a vracia ich poradie relevantnosti a skóre. Model je určený na zložité vyhľadávacie úlohy vrátane viacjazyčných dokumentov a pološtruktúrovaných informácií. Zapadá do vyhľadávacieho alebo vyhľadávaním rozšíreného postupu po tom, ako existujúci systém zhromaždí kandidátov: výsledok pomáha vybrať pasáže na zobrazenie alebo dodanie ako dôkaz do ďalšieho kroku.

Identifikátor výrobcu je rerank-v4.0-pro, samostatný oproti rerank-v4.0-fast a rerank-v3.5. Pro je určený na zložité prípady, kde je prioritou kvalita vyhľadávania, zatiaľ čo Fast cieli na nižšiu latenciu a vyššiu priepustnosť. Obe edície Rerank 4 používajú kontext 32 768 tokenov. Dopyt a jeden kandidátsky dokument zdieľajú tento rozpočet; nejde o samostatné celé okno pre každé vstupné pole ani limit celého uloženého vyhľadávacieho korpusu.

Dodajte jasný dopyt a zoznam kandidátskych textových reťazcov. Každý vrátený výsledok obsahuje pôvodný index dokumentu a skóre relevantnosti a top_n môže vybrať počet vrátených zoradených výsledkov; bez neho výrobca vracia všetky výsledky. Pri každom vstupe uchovajte identifikátor zdroja, aby sa poradie dalo prepojiť s presnou pasážou. Pri otázke podpory sa pýtajte na potrebné podmienky a dodajte kandidátske sekcie pravidiel namiesto očakávania, že reranker nájde pravidlá, ktoré v zozname neboli.

Model podporuje viac než 100 jazykov a dokáže preusporiadať anglický aj neanglický materiál. Pri dopyte s viacerými požiadavkami určte podmienky užitočnosti pasáže, napríklad produkt, situáciu a potrebný postup. Pri pološtruktúrovaných záznamoch Cohere odporúča reťazce YAML namiesto odovzdávania surových objektov v zozname dokumentov V2. Zmysluplné polia ako názov a obsah uchovajte v zámernom poradí, pretože skracovanie môže odstrániť neskoršie polia. Táto príprava je užitočná pre produktové záznamy, správy a metadáta dokumentov aj bežný text.

Sprievodca prípravou konkrétneho modelu obmedzuje dopyt Rerank 4 na prvých 16 384 tokenov. Opisuje spracovanie dlhších dokumentov cez bloky zdieľajúce kontext 32 768 tokenov s dopytom a rezervovanými tokenmi. Aktuálna referenčná dokumentácia V2 samostatne nastavuje predvolené max_tokens_per_doc na 4096 a uvádza, že dlhšie reťazce dokumentov sa na toto nastavenie skracujú. Okno modelu a skracovanie dokumentu v požiadavke výrobcu považujte za odlišné ovládacie prvky. Pripravte stručné relevantné pasáže alebo zvoľte primeraný rozpočet dokumentu namiesto predpokladu, že sa každý dlhý zdroj vždy prečíta celý.

Pre odporúčaný výkon požiadavky Cohere neodporúča posielať viac než 1 000 dokumentov naraz. Pri delení väčšieho zoznamu do zvládnuteľných skupín zachovajte identifikátory kandidátov. Skóre relevantnosti sú normalizované medzi 0 a 1, no závisia od dopytu a kandidátov; nie sú lineárnou mierou faktickej správnosti. Poradie používajte ako hlavný výsledok vyhľadávania. Pri filtrovaní podľa prahu skóre ho určte reprezentatívnymi dopytmi a hranične relevantnými pasážami zo skutočnej domény namiesto predpokladu univerzálnej hranice.

Užitočným konečným artefaktom je zoradený zoznam kandidátov s identifikátormi zdrojov a skóre pripravený na výsledok vyhľadávania alebo krok výberu dôkazov. Dokument s vysokým skóre relevantnosti môže stále obsahovať zastarané alebo nesprávne informácie, preto zachovajte jeho zdroj a obsah pre krok, ktorý ho použije. Účelom Pro je posudzovanie relevantnosti, nie písanie voľnej odpovede ani generovanie embeddingov. Pri porovnávaní alebo spresňovaní vyhľadávacieho postupu uchovajte pri výsledku presnú edíciu Pro.

Dostupné v Ailoot · vstupy a metódy

Ailoot Ultra · Opätovné zoradenie výsledkov POST /v1/rerank
Vstup
text
Výstup
rerank
Výstupný formát
json
PoleTypPožiadavkaHodnoty a limityPredvolené
PoledocumentsTyparrayPožiadavkaPovinnéHodnoty a limityPredvolené—
PolemodelTypstringPožiadavkaPovinnéHodnoty a limity
cohere/rerank-4-pro
Predvolené—
PoleproviderTypschemaPožiadavkaVoliteľnéHodnoty a limityPredvolené—
PolequeryTypstringPožiadavkaPovinnéHodnoty a limityPredvolené—
Polesession_idTypstringPožiadavkaVoliteľnéHodnoty a limityPredvolené—
Poletop_nTypintegerPožiadavkaVoliteľnéHodnoty a limity
Minimum: 1
Predvolené—
PoletraceTypschemaPožiadavkaVoliteľnéHodnoty a limityPredvolené—
PoleuserTypstringPožiadavkaVoliteľnéHodnoty a limityPredvolené—
Poledocuments[].textTypstringPožiadavkaVoliteľnéHodnoty a limityPredvolené—
Poledocuments[].imageTypstringPožiadavkaVoliteľnéHodnoty a limityPredvolené—
Kombinácie vstupných podkladov

text_rerank · Povinné: query, documents array with minItems1

Parametre a životný cyklus metódy
ParameterŠpecifikácia
Parametercontent_typeŠpecifikáciaapplication/json
ParameterrequiredŠpecifikáciamodel, query, documents
Parametermaterial_typesŠpecifikáciatext
Parameteroptional_controlsŠpecifikáciaprovider, session_id, top_n, trace, user
Parametermultimodal_input_bindingŠpecifikácianull

Životný cyklus: synchronous

Odošlite presné ID modelu a zachovajte celú natívnu odpoveď.

Cenník

Tarifné údaje nepridávajú možnosti požiadavky. Podporované parametre sú uvedené pri vybranej metóde.

Rýchly režim
Neuvedené Keď je zvolený rýchly režim
Režim Flex
Neuvedené Keď je zvolený režim flex
Maximálna úroveň uvažovania
Neuvedené Keď sa pri maximálnej úrovni uvažovania používa predvolená úprava (default)

Sadzby Ailoot

Ceny podľa konfigurácie

Každý poplatok priraďte k zobrazeným podmienkam. Pre každú skupinu alternatívnych konfigurácií použite jednu sadzbu.

KonfiguráciaSadzobníkÚčtovacia jednotkaPoplatok
KonfiguráciaZákladné sadzby za tokenySadzobníkZákladná sadzbaÚčtovacia jednotka—Poplatok
Vstup · Vstupné tokeny — / 1K tokenov
Výstup · Výstupné tokeny — / 1K tokenov
Vstup · Čítanie cache — / 1K tokenov
Vstup · Zápis do cache — / 1K tokenov
Vstup · Zápis do cache, 1 hod — / 1K tokenov
KonfiguráciaUltraSadzobník—Účtovacia jednotkaza jednotku vyhľadávaniaPoplatok
total · jednotka vyhľadávania $0.005 za jednotku vyhľadávania

Ailoot pred požiadavkou rezervuje odhadovanú sumu. Po získaní výsledku vyúčtuje konečný poplatok podľa nameraného využitia. Pri streamovaní sa vyúčtovanie riadi konečným záznamom využitia. Ako funguje rezervácia a vyúčtovanie →

Príklady požiadaviek

Ailoot Ultra · Opätovné zoradenie výsledkov

{\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}

Prijať a uložiť výsledky

Ailoot Ultra · Opätovné zoradenie výsledkov

json

Uchovať všetky dokončené výsledky

Uložte každú úplnú vrátenú odpoveď, súbor a časť obsahu.

Zachováva sa každý skutočný index výsledku, konečná hodnota relevance_score a pôvodný objekt dokumentu. Indexy odkazujú na pôvodné pole dokumentov. Celý pôvodný JSON sa uloží a vráti až po zúčtovaní.

Ak treba overiť pôvodnú odpoveď

Zachovajte pôvodnú operáciu a úplnú alebo čiastočnú odpoveď; POST znova neodosielajte.

Polia odpovede
PoleTyp
PolemodelTypstring
PoleidTypstring
PoleproviderTypstring
Poleresults[].indexTypinteger
Poleresults[].relevance_scoreTypnumber
Poleresults[].document.textTypstring
Poleresults[].document.imageTypstring
Poleusage.search_unitsTypinteger
Poleusage.total_tokensTypinteger
Poleusage.costTypnumber
Chyby a ďalšie kroky
OdpoveďPodmienkaĎalší krok
Odpoveď400 · invalid_request_errorPodmienkaNeplatné povinné pole, reprezentácia alebo hodnotaĎalší krokOpravte označené pole požiadavky.

Aliasy

Aliasy modelov

Ailoot Ultra cohere/rerank-4-pro

Aliasy ciest metód

Použite cesty metód uvedené vyššie.

Súvisiace ID na volanie

cohere/rerank-4-pro

", "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": "Neplatné povinné pole, reprezentácia alebo hodnota", "http_status": 400, "recovery": "Opravte označené pole požiadavky.", "type": "invalid_request_error" } ], "hints": [], "ignored_fields": [], "lifecycle": { "cancel": null, "idempotency_header": null, "job_retrieve": null, "mode": "synchronous", "streaming": false, "unknown": "Zachovajte pôvodnú operáciu a úplnú alebo čiastočnú odpoveď; POST znova neodosielajte." }, "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": "Zachováva sa každý skutočný index výsledku, konečná hodnota relevance_score a pôvodný objekt dokumentu. Indexy odkazujú na pôvodné pole dokumentov. Celý pôvodný JSON sa uloží a vráti až po zúčtovaní.", "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": [ "Odošlite presné ID modelu a zachovajte celú natívnu odpoveď." ], "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": "Opätovné zoradenie výsledkov", "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_id": "cohere/rerank-4-pro", "nativeProvenance": { "input_facts_canonical_sha256": "136c01bda1e1e7801f637303e88b2eb0ff998ceded0c4438fbbcd31571471a6d", "input_html_sha256": "d17b0738b9f181e9b7ca0ddbb9b2da5cab7a373633800dacc227006bc9a77a73", "private_audit_sha256": "94dc8995a7ad89b6a42decdb799e7ead747bcc7998d2bf8a97f0acb538af3865", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/sk/cohere-rerank-4-pro/", "description": "Cohere Rerank 4 Pro zoraďuje kandidátske dokumenty podľa relevantnosti pre dopyt vo vyhľadávaní a postupoch rozšírených vyhľadávaním. Je to edícia Rerank 4 zameraná na kvalitu s kontextom 32K, viacjazyčným pokrytím a podporou pološtruktúrovaného textu.", "locale": "sk", "md_url": "https://ailoot.ai/models/sk/cohere-rerank-4-pro/index.md", "title": "Cohere: Rerank 4 Pro — Ailoot", "url": "https://ailoot.ai/models/sk/cohere-rerank-4-pro/" }, "rawModel": { "about": "Cohere Rerank 4 Pro je model rodiny Rerank 4 od Cohere zameraný na kvalitu. Hodnotí kandidátske dokumenty oproti dopytu a vracia ich poradie relevantnosti a skóre. Model je určený na zložité vyhľadávacie úlohy vrátane viacjazyčných dokumentov a pološtruktúrovaných informácií. Zapadá do vyhľadávacieho alebo vyhľadávaním rozšíreného postupu po tom, ako existujúci systém zhromaždí kandidátov: výsledok pomáha vybrať pasáže na zobrazenie alebo dodanie ako dôkaz do ďalšieho kroku.\n\nIdentifikátor výrobcu je rerank-v4.0-pro, samostatný oproti rerank-v4.0-fast a rerank-v3.5. Pro je určený na zložité prípady, kde je prioritou kvalita vyhľadávania, zatiaľ čo Fast cieli na nižšiu latenciu a vyššiu priepustnosť. Obe edície Rerank 4 používajú kontext 32 768 tokenov. Dopyt a jeden kandidátsky dokument zdieľajú tento rozpočet; nejde o samostatné celé okno pre každé vstupné pole ani limit celého uloženého vyhľadávacieho korpusu.\n\nDodajte jasný dopyt a zoznam kandidátskych textových reťazcov. Každý vrátený výsledok obsahuje pôvodný index dokumentu a skóre relevantnosti a top_n môže vybrať počet vrátených zoradených výsledkov; bez neho výrobca vracia všetky výsledky. Pri každom vstupe uchovajte identifikátor zdroja, aby sa poradie dalo prepojiť s presnou pasážou. Pri otázke podpory sa pýtajte na potrebné podmienky a dodajte kandidátske sekcie pravidiel namiesto očakávania, že reranker nájde pravidlá, ktoré v zozname neboli.\n\nModel podporuje viac než 100 jazykov a dokáže preusporiadať anglický aj neanglický materiál. Pri dopyte s viacerými požiadavkami určte podmienky užitočnosti pasáže, napríklad produkt, situáciu a potrebný postup. Pri pološtruktúrovaných záznamoch Cohere odporúča reťazce YAML namiesto odovzdávania surových objektov v zozname dokumentov V2. Zmysluplné polia ako názov a obsah uchovajte v zámernom poradí, pretože skracovanie môže odstrániť neskoršie polia. Táto príprava je užitočná pre produktové záznamy, správy a metadáta dokumentov aj bežný text.\n\nSprievodca prípravou konkrétneho modelu obmedzuje dopyt Rerank 4 na prvých 16 384 tokenov. Opisuje spracovanie dlhších dokumentov cez bloky zdieľajúce kontext 32 768 tokenov s dopytom a rezervovanými tokenmi. Aktuálna referenčná dokumentácia V2 samostatne nastavuje predvolené max_tokens_per_doc na 4096 a uvádza, že dlhšie reťazce dokumentov sa na toto nastavenie skracujú. Okno modelu a skracovanie dokumentu v požiadavke výrobcu považujte za odlišné ovládacie prvky. Pripravte stručné relevantné pasáže alebo zvoľte primeraný rozpočet dokumentu namiesto predpokladu, že sa každý dlhý zdroj vždy prečíta celý.\n\nPre odporúčaný výkon požiadavky Cohere neodporúča posielať viac než 1 000 dokumentov naraz. Pri delení väčšieho zoznamu do zvládnuteľných skupín zachovajte identifikátory kandidátov. Skóre relevantnosti sú normalizované medzi 0 a 1, no závisia od dopytu a kandidátov; nie sú lineárnou mierou faktickej správnosti. Poradie používajte ako hlavný výsledok vyhľadávania. Pri filtrovaní podľa prahu skóre ho určte reprezentatívnymi dopytmi a hranične relevantnými pasážami zo skutočnej domény namiesto predpokladu univerzálnej hranice.\n\nUžitočným konečným artefaktom je zoradený zoznam kandidátov s identifikátormi zdrojov a skóre pripravený na výsledok vyhľadávania alebo krok výberu dôkazov. Dokument s vysokým skóre relevantnosti môže stále obsahovať zastarané alebo nesprávne informácie, preto zachovajte jeho zdroj a obsah pre krok, ktorý ho použije. Účelom Pro je posudzovanie relevantnosti, nie písanie voľnej odpovede ani generovanie embeddingov. Pri porovnávaní alebo spresňovaní vyhľadávacieho postupu uchovajte pri výsledku presnú edíciu 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": "Úplný cenník konfigurácie nájdete v podrobnostiach." } ], "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": "Neplatné povinné pole, reprezentácia alebo hodnota", "http_status": 400, "recovery": "Opravte označené pole požiadavky.", "type": "invalid_request_error" } ], "hints": [], "ignored_fields": [], "lifecycle": { "cancel": null, "idempotency_header": null, "job_retrieve": null, "mode": "synchronous", "streaming": false, "unknown": "Zachovajte pôvodnú operáciu a úplnú alebo čiastočnú odpoveď; POST znova neodosielajte." }, "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": "Zachováva sa každý skutočný index výsledku, konečná hodnota relevance_score a pôvodný objekt dokumentu. Indexy odkazujú na pôvodné pole dokumentov. Celý pôvodný JSON sa uloží a vráti až po zúčtovaní.", "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": [ "Odošlite presné ID modelu a zachovajte celú natívnu odpoveď." ], "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": "Opätovné zoradenie výsledkov", "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 zoraďuje kandidátske dokumenty podľa relevantnosti pre dopyt vo vyhľadávaní a postupoch rozšírených vyhľadávaním. Je to edícia Rerank 4 zameraná na kvalitu s kontextom 32K, viacjazyčným pokrytím a podporou pološtruktúrovaného textu." }, "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 zoraďuje kandidátske dokumenty podľa relevantnosti pre dopyt vo vyhľadávaní a postupoch rozšírených vyhľadávaním. Je to edícia Rerank 4 zameraná na kvalitu s kontextom 32K, viacjazyčným pokrytím a podporou pološtruktúrovaného textu.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "8f2cd1f77c17370d5e4e7ebf7ecc2825efa4dd4aa70577904318c297efc51f14", "renderer_sha256": "94893ba0fa4d7b7d32370787b705f436a4c2569f84ec7b33063549adc74b07e0" }, "sourceRevision": "6a77a5c5c951d9868fb885296e4d7dae24819cdbc6b4d7e36cdc277d707b52f1" }