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Text Embedding 3 Large Batch uporablja /v1/batches z natančnim ID-jem modela openai/text-embedding-3-large:batch. Nastavite endpoint na /v1/embeddings in podajte requests; vsaka postavka vsebuje custom_id in body z input kot besedilnim nizom ali poljem nizov. Identifikatorje ohranite nespremenjene, da bo aplikacija rezultate lahko povezala z osvežitvijo iskalnega indeksa.

Paket je asinhron. Ohranite prvotni vrnjeni ID operacije in z GET /v1/batches/{operation_id} spremljajte isto operacijo z istim klicateljem. Dokončani nabor rezultatov lahko za vsak custom_id vsebuje odgovor ali napako, zato preglejte izide posameznih postavk in skupno stanje.

Vse dokončane rezultate shranite kot JSONL ter ohranite vsak custom_id in njegov celotni odgovor ali napako. Pred posodobitvijo indeksa uspešne vektorje povežite z oddanimi identifikatorji dokumentov. Zapise izvirne operacije in postavk hranite skupaj, da bo nepopolno ali neuspešno postavko mogoče raziskati brez izgube že vrnjenih rezultatov.

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•

OpenAI: Text Embedding 3 Large (batch)

Drugo /openai/text-embedding-3-large:batch

Začetek

Text Embedding 3 Large Batch odda skupine zahtev za besedilne vektorske vložitve kot en paket Ailoot. Vsako postavko spremljajte prek custom_id in pridobite celotne rezultate izvirne operacije.

Dovoljeni vhodi
Besedilo
Rezultati
embedding
O modelu

Ta opis zajema zmožnosti modela. Vhodi, izhodi in možnosti, ki so na voljo v Ailoot, so spodaj navedeni za izbrano metodo.

Text Embedding 3 Large Batch uporablja /v1/batches z natančnim ID-jem modela openai/text-embedding-3-large:batch. Nastavite endpoint na /v1/embeddings in podajte requests; vsaka postavka vsebuje custom_id in body z input kot besedilnim nizom ali poljem nizov. Identifikatorje ohranite nespremenjene, da bo aplikacija rezultate lahko povezala z osvežitvijo iskalnega indeksa.

Paket je asinhron. Ohranite prvotni vrnjeni ID operacije in z GET /v1/batches/{operation_id} spremljajte isto operacijo z istim klicateljem. Dokončani nabor rezultatov lahko za vsak custom_id vsebuje odgovor ali napako, zato preglejte izide posameznih postavk in skupno stanje.

Vse dokončane rezultate shranite kot JSONL ter ohranite vsak custom_id in njegov celotni odgovor ali napako. Pred posodobitvijo indeksa uspešne vektorje povežite z oddanimi identifikatorji dokumentov. Zapise izvirne operacije in postavk hranite skupaj, da bo nepopolno ali neuspešno postavko mogoče raziskati brez izgube že vrnjenih rezultatov.

Na voljo v Ailoot · vhodi in metode

Ailoot Ultra · Batch POST /v1/batches
Vhod
text
Izhod
embedding
PoljeVrstaZahtevaVrednosti in omejitvePrivzeto
PoljemodelVrstastringZahtevaObveznoVrednosti in omejitve
openai/text-embedding-3-large:batch
Pogoji: Uporabite natanko ta izbirnik usmerjanja Ailoot.
Privzeto—
PoljeendpointVrstastringZahtevaObveznoVrednosti in omejitve
/v1/embeddings
Pogoji:
Privzeto—
PoljerequestsVrstaarrayZahtevaObveznoVrednosti in omejitve
Pogoji:
Privzeto—
Parametri in življenjski cikel metode
ParameterSpecifikacija
Parametercontent_typeSpecifikacijaapplication/json
ParameterrequiredSpecifikacijamodel, endpoint, requests
ParameteroptionalSpecifikacija
Parametermaterial_typesSpecifikacijatext
ParameterconditionsSpecifikacijaUporabite natanko ta izbirnik usmerjanja Ailoot.

Življenjski cikel: asynchronous

GET /v1/batches/{operation_id} · Dejanski izvirni response.id, isti klicatelj, ključ in skupina.

Cenik

Tarifni podatki ne dodajajo možnosti zahteve. Podprti parametri so navedeni pri izbrani metodi.

Hitri način
Ni navedeno Ko je izbran hitri način
Način flex
Ni navedeno Ko je izbran način flex
Najvišja raven razmišljanja
Ni navedeno Ko najvišja raven razmišljanja uporablja privzeto prilagoditev (default)
Cene izrecnega predpomnjenja
Ni omogočeno Ko je zahtevano eksplicitno predpomnjenje

Cene Ailoot

Cene po nastavitvah

Vsak strošek povežite s prikazanimi pogoji. Za vsak nabor alternativnih nastavitev uporabite eno ceno.

NastavitevCenovna lestvicaŽetonov konteksta več kotŽetonov konteksta do vključnoStrošek
NastavitevOsnovne cene žetonovCenovna lestvicaOsnovna cenaŽetonov konteksta več kot—Žetonov konteksta do vključnoBrez zgornje mejeStrošek
Vhod · Vhodni žetoni $0.00013 / 1K žetonov
Izhod · Izhodni žetoni $0 / 1K žetonov
Vhod · Branje predpomnilnika — / 1K žetonov
Vhod · Zapis v predpomnilnik — / 1K žetonov
Vhod · Zapis v predpomnilnik, 1 ura — / 1K žetonov
NastavitevRazred 1 glede na dolžino zahteveCenovna lestvica—Žetonov konteksta več kot0Žetonov konteksta do vključnoBrez zgornje mejeStrošek
Vhod · Vhodni žetoni $0.00013 / 1K žetonov
Izhod · Izhodni žetoni $0 / 1K žetonov
Vhod · Branje predpomnilnika — / 1K žetonov
Vhod · Zapis v predpomnilnik — / 1K žetonov
Vhod · Zapis v predpomnilnik, 1 ura — / 1K žetonov

Ailoot pred zahtevo rezervira ocenjeni znesek. Po rezultatu obračuna končni strošek na podlagi izmerjene porabe. Obračun pretakanja uporablja končni zapis porabe. Kako delujeta rezervacija in obračun →

Primeri zahtev

Ailoot Ultra · Batch

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{"endpoint": "/v1/embeddings", "model": "openai/text-embedding-3-large:batch", "requests": [{"custom_id": "embedding-1", "body": {"input": "The quick brown fox jumps over the lazy dog"}}]}')\n\nPath("request.json").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n

Prejmi in shrani rezultate

Ailoot Ultra · Batch

Ohrani vse dokončane rezultate

Shranite vsak v celoti vrnjen odgovor, datoteko in del vsebine.

Ohranite izvirno stanje, vsak custom_id in celoten odgovor ali napako. Vse dokončane results[] shranite v obliki JSONL; pot za nalaganje ali prenos prek Files se ne predpostavlja.

Če je treba preveriti izvirni odgovor

Ohranite izvirni ID operacije in berite samo to izvirno paketno opravilo. Prekoračitev časovne omejitve, napaka ali neznano stanje ne dovoljujejo ponovnega ustvarjanja.

Polja odgovora
PoljeVrsta
Poljeresults[]Vrstaarray
Poljeresults[].custom_idVrstastring
Poljeresults[].responseVrstaobject
Poljeresults[].errorVrstaobject
Napake in naslednji koraki
OdgovorPogojNaslednji korak
Odgovor400 · invalid_request_errorPogojObvezno polje, izbirnik modela, vrsta ali oblika vhoda ni veljavna.Naslednji korakPred pripravo ločene zahteve preglejte vrnjene podrobnosti preverjanja veljavnosti.
OdgovorPogojIzvirna zahteva ali rezultat je neznan ali zahteva preverjanje.Naslednji korakOhranite izvirne identifikatorje in glave; berite le podprte zapise o stanju ali zapise v knjižnici. Zahteve za ustvarjanje ne pošiljajte znova.

Druga imena

Druga imena modelov

Ailoot Ultra openai/text-embedding-3-large:batch

Druga imena poti metod

Uporabite zgoraj navedene poti metod.

Povezani ID-ji za klic

openai/text-embedding-3-large:batch

", "method_identity": { "effective_request_model_id": "openai/text-embedding-3-large:batch", "fmt": "batches", "http": "POST", "path": "/v1/batches", "request_model_id": "openai/text-embedding-3-large:batch", "route_label": "Ultra" }, "method_key": "Ultra|batches|/v1/batches|openai%2Ftext-embedding-3-large%3Abatch", "ordinal": 0, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.", "authentication": { "header": "Authorization", "scheme": "Bearer", "value": "$AILOOT_API_KEY" }, "errors": [ { "condition": "Obvezno polje, izbirnik modela, vrsta ali oblika vhoda ni veljavna.", "http_status": 400, "recovery": "Pred pripravo ločene zahteve preglejte vrnjene podrobnosti preverjanja veljavnosti.", "type": "invalid_request_error" }, { "condition": "Izvirna zahteva ali rezultat je neznan ali zahteva preverjanje.", "http_status": null, "recovery": "Ohranite izvirne identifikatorje in glave; berite le podprte zapise o stanju ali zapise v knjižnici. Zahteve za ustvarjanje ne pošiljajte znova.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "file_upload": null, "mode": "asynchronous", "status": [ { "http": "GET", "id_source": "actual original response.id, same caller/key/group", "path": "/v1/batches/{operation_id}" } ], "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Ohranite izvirni ID operacije in berite samo to izvirno paketno opravilo. Prekoračitev časovne omejitve, napaka ali neznano stanje ne dovoljujejo ponovnega ustvarjanja.", "unknown_no_replay": true }, "outputs": { "all_results": "Ohranite izvirno stanje, vsak custom_id in celoten odgovor ali napako. Vse dokončane results[] shranite v obliki JSONL; pot za nalaganje ali prenos prek Files se ne predpostavlja.", "every_actual_output": true, "family": "batch", "fields": [ { "name": "results[]", "type": "array" }, { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response", "type": "object" }, { "name": "results[].error", "type": "object" } ] }, "parameters": [ { "conditions": "Uporabite natanko ta izbirnik usmerjanja Ailoot.", "default_known": false, "enum": [ "openai/text-embedding-3-large:batch" ], "enum_known": true, "maximum_length": null, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum": [ "/v1/embeddings" ], "enum_known": true, "maximum_length": null, "name": "endpoint", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "body": { "properties": { "input": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "input" ], "type": "object" }, "custom_id": { "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "maximum_length": null, "minItems": 1, "name": "requests", "required": true, "type": "array" } ], "request_schema": { "additionalProperties": true, "properties": { "endpoint": { "enum": [ "/v1/embeddings" ], "type": "string" }, "model": { "enum": [ "openai/text-embedding-3-large:batch" ], "type": "string" }, "requests": { "items": { "properties": { "body": { "properties": { "input": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "input" ], "type": "object" }, "custom_id": { "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "minItems": 1, "type": "array" } }, "required": [ "model", "endpoint", "requests" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "endpoint": "/v1/embeddings", "model": "openai/text-embedding-3-large:batch", "requests": [ { "body": { "input": "The quick brown fox jumps over the lazy dog" }, "custom_id": "embedding-1" } ] }, "content_type": "application/json", "example_is_offline_content": true }, "usage": { "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.", "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.", "settlement": "Retain the original operation; reconcile its result and accounting once." } }, "input": { "conditions": [ "Uporabite natanko ta izbirnik usmerjanja Ailoot." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [], "required": [ "model", "endpoint", "requests" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "file_upload": null, "mode": "asynchronous", "status": [ { "http": "GET", "id_source": "Dejanski izvirni response.id, isti klicatelj, ključ in skupina.", "path": "/v1/batches/{operation_id}" } ], "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Preserve the original operation ID and read only that original batch. A timeout, error or unknown state does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/batches" }, "method_aliases": [], "output": { "all_results": "Preserve original status, every custom_id and full response/error. Save all completed results[] as JSONL; no Files upload/download path is inferred.", "every_actual_output": true, "family": "batch", "fields": [ { "name": "results[]", "type": "array" }, { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response", "type": "object" }, { "name": "results[].error", "type": "object" } ] } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"endpoint\": \"/v1/embeddings\", \"model\": \"openai/text-embedding-3-large:batch\", \"requests\": [{\"custom_id\": \"embedding-1\", \"body\": {\"input\": \"The quick brown fox jumps over the lazy dog\"}}]}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_BATCH'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import quote\nr=json.loads(Path(\"result.json\").read_text()); operation=r[\"id\"]\nsubprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",\"https://api.ailoot.ai/v1/batches/\"+quote(operation,safe=\"\"),\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-D\",\"status-headers.txt\",\"-o\",\"status.json\"],check=True)\ns=json.loads(Path(\"status.json\").read_text())\nif s.get(\"status\")==\"completed\": Path(\"results.jsonl\").write_text(\"\".join(json.dumps(x,ensure_ascii=False)+\"\\n\" for x in s.get(\"results\",[])))\n# Repeat only this same original GET while pending; never repeat creation.\nPY_BATCH\n", "label": "Read the original batch and preserve every result", "language": "bash" } ], "family": "batch", "fast_multiplier": null, "flex_multiplier": null, "fmt": "batches", "http": "POST", "in": 0.13, "input": [ "text" ], "label": "Batch", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "out": 0, "output": [ "embedding" ], "path": "/v1/batches", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Not specified", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" } ], "pricing": { "billing_mode": "token", "image_input_price": null, "image_output_price": null, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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" } ] } ], "request_model_id": "openai/text-embedding-3-large:batch", "route_label": "Ultra", "status_reads": [ "GET /v1/batches/{operation_id}" ], "tiers": [ { "cache_read": null, "cache_read_multiplier": null, "cache_write": null, "cache_write_1h": null, "cache_write_multiplier": null, "created_at": "0001-01-01T00:00:00Z", "in": 0.13, "input_multiplier": null, "max": null, "max_tokens": null, "min": 0, "min_tokens": 0, "out": 0, "output_multiplier": null, "per_request_price": null, "sort_order": 0, "tier_label": "", "updated_at": "0001-01-01T00:00:00Z" } ], "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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" } ] } } ], "model_id": "openai/text-embedding-3-large:batch", "nativeProvenance": { "input_facts_canonical_sha256": "976dfaca5407c1ebf03c0363ecb2bea704e7ed0988492a768e90434940803f66", "input_html_sha256": "d86a0cfc13085bccd2be3486928bff0f7bc47e3a02ed7e72054a10c5e01ce5a1", "private_audit_sha256": "f0ba4afeaddaece88963b24a323abc94a06893f361983e268a6af248c3696406", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/sl/openai-text-embedding-3-large-u003a-batch/", "description": "Text Embedding 3 Large Batch odda skupine zahtev za besedilne vektorske vložitve kot en paket Ailoot. Vsako postavko spremljajte prek custom_id in pridobite celotne rezultate izvirne operacije.", "locale": "sl", "md_url": "https://ailoot.ai/models/sl/openai-text-embedding-3-large-u003a-batch/index.md", "title": "OpenAI: Text Embedding 3 Large (batch) — Ailoot", "url": "https://ailoot.ai/models/sl/openai-text-embedding-3-large-u003a-batch/" }, "rawModel": { "about": "Text Embedding 3 Large Batch uporablja /v1/batches z natančnim ID-jem modela openai/text-embedding-3-large:batch. Nastavite endpoint na /v1/embeddings in podajte requests; vsaka postavka vsebuje custom_id in body z input kot besedilnim nizom ali poljem nizov. Identifikatorje ohranite nespremenjene, da bo aplikacija rezultate lahko povezala z osvežitvijo iskalnega indeksa.\n\nPaket je asinhron. Ohranite prvotni vrnjeni ID operacije in z GET /v1/batches/{operation_id} spremljajte isto operacijo z istim klicateljem. Dokončani nabor rezultatov lahko za vsak custom_id vsebuje odgovor ali napako, zato preglejte izide posameznih postavk in skupno stanje.\n\nVse dokončane rezultate shranite kot JSONL ter ohranite vsak custom_id in njegov celotni odgovor ali napako. Pred posodobitvijo indeksa uspešne vektorje povežite z oddanimi identifikatorji dokumentov. Zapise izvirne operacije in postavk hranite skupaj, da bo nepopolno ali neuspešno postavko mogoče raziskati brez izgube že vrnjenih rezultatov.", "alias_of": null, "aliases": [], "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "native_quantity": 1, "native_unit": "output_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" } ], "summary": "Celoten cenik konfiguracije je v podrobnostih." } ], "ctx": null, "formats": [ "batches" ], "id": "openai/text-embedding-3-large:batch", "input": [ "text" ], "kind": "embedding", "max_out": null, "methods": [ { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response and headers, original identifiers, every actual output and all usage/accounting fields. Save each unique owned asset and retain every role pointing to it.", "authentication": { "header": "Authorization", "scheme": "Bearer", "value": "$AILOOT_API_KEY" }, "errors": [ { "condition": "Obvezno polje, izbirnik modela, vrsta ali oblika vhoda ni veljavna.", "http_status": 400, "recovery": "Pred pripravo ločene zahteve preglejte vrnjene podrobnosti preverjanja veljavnosti.", "type": "invalid_request_error" }, { "condition": "Izvirna zahteva ali rezultat je neznan ali zahteva preverjanje.", "http_status": null, "recovery": "Ohranite izvirne identifikatorje in glave; berite le podprte zapise o stanju ali zapise v knjižnici. Zahteve za ustvarjanje ne pošiljajte znova.", "type": null } ], "lifecycle": { "cancel_endpoint": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "file_upload": null, "mode": "asynchronous", "status": [ { "http": "GET", "id_source": "actual original response.id, same caller/key/group", "path": "/v1/batches/{operation_id}" } ], "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Ohranite izvirni ID operacije in berite samo to izvirno paketno opravilo. Prekoračitev časovne omejitve, napaka ali neznano stanje ne dovoljujejo ponovnega ustvarjanja.", "unknown_no_replay": true }, "outputs": { "all_results": "Ohranite izvirno stanje, vsak custom_id in celoten odgovor ali napako. Vse dokončane results[] shranite v obliki JSONL; pot za nalaganje ali prenos prek Files se ne predpostavlja.", "every_actual_output": true, "family": "batch", "fields": [ { "name": "results[]", "type": "array" }, { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response", "type": "object" }, { "name": "results[].error", "type": "object" } ] }, "parameters": [ { "conditions": "Uporabite natanko ta izbirnik usmerjanja Ailoot.", "default_known": false, "enum": [ "openai/text-embedding-3-large:batch" ], "enum_known": true, "maximum_length": null, "name": "model", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum": [ "/v1/embeddings" ], "enum_known": true, "maximum_length": null, "name": "endpoint", "required": true, "type": "string" }, { "conditions": "", "default_known": false, "enum_known": false, "items": { "properties": { "body": { "properties": { "input": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "input" ], "type": "object" }, "custom_id": { "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "maximum_length": null, "minItems": 1, "name": "requests", "required": true, "type": "array" } ], "request_schema": { "additionalProperties": true, "properties": { "endpoint": { "enum": [ "/v1/embeddings" ], "type": "string" }, "model": { "enum": [ "openai/text-embedding-3-large:batch" ], "type": "string" }, "requests": { "items": { "properties": { "body": { "properties": { "input": { "oneOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ] } }, "required": [ "input" ], "type": "object" }, "custom_id": { "type": "string" } }, "required": [ "custom_id", "body" ], "type": "object" }, "minItems": 1, "type": "array" } }, "required": [ "model", "endpoint", "requests" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": false, "body": { "endpoint": "/v1/embeddings", "model": "openai/text-embedding-3-large:batch", "requests": [ { "body": { "input": "The quick brown fox jumps over the lazy dog" }, "custom_id": "embedding-1" } ] }, "content_type": "application/json", "example_is_offline_content": true }, "usage": { "meter": "Use the accepted method price and actual recorded usage; the request reserve is an estimate. A billing unit does not add an input capability.", "preserve": "Keep all returned usage, accounting and request identifiers with every actual output.", "settlement": "Retain the original operation; reconcile its result and accounting once." } }, "input": { "conditions": [ "Uporabite natanko ta izbirnik usmerjanja Ailoot." ], "content_type": "application/json", "material_types": [ "text" ], "optional": [], "required": [ "model", "endpoint", "requests" ] }, "lifecycle": { "cancel_endpoint": null, "create": { "accepted_status": 202, "http": "POST", "path": "/v1/batches" }, "file_upload": null, "mode": "asynchronous", "status": [ { "http": "GET", "id_source": "Dejanski izvirni response.id, isti klicatelj, ključ in skupina.", "path": "/v1/batches/{operation_id}" } ], "terminal": [ "completed", "failed", "expired", "cancelled" ], "unknown": "Preserve the original operation ID and read only that original batch. A timeout, error or unknown state does not authorize another creation.", "unknown_no_replay": true }, "method": { "http": "POST", "path": "/v1/batches" }, "method_aliases": [], "output": { "all_results": "Preserve original status, every custom_id and full response/error. Save all completed results[] as JSONL; no Files upload/download path is inferred.", "every_actual_output": true, "family": "batch", "fields": [ { "name": "results[]", "type": "array" }, { "name": "results[].custom_id", "type": "string" }, { "name": "results[].response", "type": "object" }, { "name": "results[].error", "type": "object" } ] } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"endpoint\": \"/v1/embeddings\", \"model\": \"openai/text-embedding-3-large:batch\", \"requests\": [{\"custom_id\": \"embedding-1\", \"body\": {\"input\": \"The quick brown fox jumps over the lazy dog\"}}]}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n", "label": "curl · create once and retain the complete result", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_BATCH'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import quote\nr=json.loads(Path(\"result.json\").read_text()); operation=r[\"id\"]\nsubprocess.run([\"curl\",\"--fail-with-body\",\"--silent\",\"--show-error\",\"https://api.ailoot.ai/v1/batches/\"+quote(operation,safe=\"\"),\"-H\",\"Authorization: Bearer \"+os.environ[\"AILOOT_API_KEY\"],\"-D\",\"status-headers.txt\",\"-o\",\"status.json\"],check=True)\ns=json.loads(Path(\"status.json\").read_text())\nif s.get(\"status\")==\"completed\": Path(\"results.jsonl\").write_text(\"\".join(json.dumps(x,ensure_ascii=False)+\"\\n\" for x in s.get(\"results\",[])))\n# Repeat only this same original GET while pending; never repeat creation.\nPY_BATCH\n", "label": "Read the original batch and preserve every result", "language": "bash" } ], "family": "batch", "fast_multiplier": null, "flex_multiplier": null, "fmt": "batches", "http": "POST", "in": 0.13, "input": [ "text" ], "label": "Batch", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "out": 0, "output": [ "embedding" ], "path": "/v1/batches", "price_conditions": [ { "label": "Fast mode", "value": "Not specified", "when": "When fast mode is selected" }, { "label": "Flex mode", "value": "Not specified", "when": "When flex mode is selected" }, { "label": "Maximum reasoning effort", "value": "Not specified", "when": "When maximum reasoning effort uses the default adjustment" }, { "label": "Explicit cache pricing", "value": "Not enabled", "when": "When explicit cache is requested" } ], "pricing": { "billing_mode": "token", "image_input_price": null, "image_output_price": null, "per_request_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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": { "max_context_tokens_inclusive": null, "min_context_tokens_exclusive": 0 }, "label": "Request-length tier 1", "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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" } ] } ], "request_model_id": "openai/text-embedding-3-large:batch", "route_label": "Ultra", "status_reads": [ "GET /v1/batches/{operation_id}" ], "tiers": [ { "cache_read": null, "cache_read_multiplier": null, "cache_write": null, "cache_write_1h": null, "cache_write_multiplier": null, "created_at": "0001-01-01T00:00:00Z", "in": 0.13, "input_multiplier": null, "max": null, "max_tokens": null, "min": 0, "min_tokens": 0, "out": 0, "output_multiplier": null, "per_request_price": null, "sort_order": 0, "tier_label": "", "updated_at": "0001-01-01T00:00:00Z" } ], "units": [ { "amount": "0.00013000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.00000013", "native_quantity": 1, "native_unit": "input_token", "public_unit_label": "/ 1K tokens", "quantity": 1000, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": "0", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "output_price", "label": "Output tokens", "native_amount_usd_per_unit": "0", "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" } ] } ], "model_aliases": [ { "canonical_model_id": "openai/text-embedding-3-large:batch", "request_model_id": "openai/text-embedding-3-large:batch", "route_label": "Ultra" } ], "name": "OpenAI: Text Embedding 3 Large (batch)", "price": { "in": 0.13, "in_label": null, "out": 0, "out_label": null, "scope_label": "Token rates", "sort_in": 0.13, "sort_out": 0, "varies": true }, "short": "Text Embedding 3 Large Batch odda skupine zahtev za besedilne vektorske vložitve kot en paket Ailoot. Vsako postavko spremljajte prek custom_id in pridobite celotne rezultate izvirne operacije.", "title": "OpenAI: Text Embedding 3 Large (batch)" }, "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": "Text Embedding 3 Large Batch odda skupine zahtev za besedilne vektorske vložitve kot en paket Ailoot. Vsako postavko spremljajte prek custom_id in pridobite celotne rezultate izvirne operacije.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "50776bba22abb629c8fc898800679126850fb85e2e4e4121debb7ada73363f5c", "renderer_sha256": "dcba2271c18b0f9570a8b166e8d1e3166f121e096a58609c3a46da31562a1bf2" }, "sourceRevision": "78bec06e30e6c221e4c3d2d742dbf5641e1e98221ffd181b2e0c971fbd0748be" }