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Text Embedding Ada 002 Batch /v1/batches dan aynan openai/text-embedding-ada-002:batch model ID si bilan foydalanadi. endpoint ni /v1/embeddings ga o‘rnating va requests ni yuboring; har bir element custom_id va input matn satri yoki satrlar massivi bo‘lgan body ni o‘z ichiga oladi. Ilovangiz natijalarni yangi yoki tahrirlangan parchalar to‘plamiga moslay olishi uchun identifikatorlarni barqaror saqlang.

Paket asinxron bajariladi. Dastlab qaytarilgan operatsiya ID sini saqlang va ayni chaqiruvchi bilan o‘sha operatsiyani GET /v1/batches/{operation_id} orqali kuzating. Tugallangan natijalar to‘plamida har bir custom_id uchun javob yoki xato bo‘lishi mumkin; shu sabab umumiy holat bilan birga alohida element natijalarini ham tekshiring.

Har bir custom_id va uning to‘liq javobi yoki xatosini saqlagan holda barcha tugallangan natijalarni JSONL ko‘rinishida yozing. Indeksni yangilashdan oldin muvaffaqiyatli vektorlarni yuborilgan hujjat ID lariga bog‘lang. Tugallanmagan yoki xatoli elementni allaqachon qaytarilgan natijalarni yo‘qotmasdan tekshirish uchun asl operatsiya va element yozuvlarini birga saqlang.

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•

OpenAI: Text Embedding Ada 002 (batch)

Boshqa /openai/text-embedding-ada-002:batch

Boshlash

Text Embedding Ada 002 Batch matn embedding so‘rovlari guruhini bitta Ailoot paketida yuboradi. Har bir elementni custom_id orqali kuzating va asl operatsiyaning to‘liq natijalarini oling.

Qabul qilinadigan kirish ma’lumotlari
Matn
Natijalar
embedding
Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

Text Embedding Ada 002 Batch /v1/batches dan aynan openai/text-embedding-ada-002:batch model ID si bilan foydalanadi. endpoint ni /v1/embeddings ga o‘rnating va requests ni yuboring; har bir element custom_id va input matn satri yoki satrlar massivi bo‘lgan body ni o‘z ichiga oladi. Ilovangiz natijalarni yangi yoki tahrirlangan parchalar to‘plamiga moslay olishi uchun identifikatorlarni barqaror saqlang.

Paket asinxron bajariladi. Dastlab qaytarilgan operatsiya ID sini saqlang va ayni chaqiruvchi bilan o‘sha operatsiyani GET /v1/batches/{operation_id} orqali kuzating. Tugallangan natijalar to‘plamida har bir custom_id uchun javob yoki xato bo‘lishi mumkin; shu sabab umumiy holat bilan birga alohida element natijalarini ham tekshiring.

Har bir custom_id va uning to‘liq javobi yoki xatosini saqlagan holda barcha tugallangan natijalarni JSONL ko‘rinishida yozing. Indeksni yangilashdan oldin muvaffaqiyatli vektorlarni yuborilgan hujjat ID lariga bog‘lang. Tugallanmagan yoki xatoli elementni allaqachon qaytarilgan natijalarni yo‘qotmasdan tekshirish uchun asl operatsiya va element yozuvlarini birga saqlang.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Batch POST /v1/batches
Kirish
text
Chiqish
embedding
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
openai/text-embedding-ada-002:batch
Shartlar: Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.
Standart—
MaydonendpointTurstringTalabMajburiyQiymatlar va cheklovlar
/v1/embeddings
Shartlar:
Standart—
MaydonrequestsTurarrayTalabMajburiyQiymatlar va cheklovlar
Shartlar:
Standart—
Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, endpoint, requests
ParametroptionalParametr talablari
Parametrmaterial_typesParametr talablaritext
ParametrconditionsParametr talablariAiloot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.

Hayot sikli: asynchronous

GET /v1/batches/{operation_id} · haqiqiy asl response.id, ayni soʻrov yuboruvchi/kalit/guruh

Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim
Ko‘rsatilmagan Tezkor rejim tanlanganda
Flex rejimi
Ko‘rsatilmagan flex rejimi tanlanganda
Maksimal fikrlash darajasi
Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda
Ochiq ko‘rsatilgan keshlash narxlari
Yoqilmagan Ochiq ko‘rsatilgan keshlash so‘ralganda

Ailoot tariflari

Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

SozlamaTariflar jadvaliKontekst tokenlari soni bundan ko‘pKontekst tokenlari soni bundan oshmaydi, chegara kiradiTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifKontekst tokenlari soni bundan ko‘p—Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘qTo‘lov
Kirish · Kirish tokenlari $0.0001 / 1K token
Chiqish · Chiqish tokenlari $0 / 1K token
Kirish · Keshdan o‘qish — / 1K token
Kirish · Keshga yozish — / 1K token
Kirish · Keshga yozish, 1 soat — / 1K token
SozlamaSo‘rov uzunligi bo‘yicha 1-darajaTariflar jadvali—Kontekst tokenlari soni bundan ko‘p0Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘qTo‘lov
Kirish · Kirish tokenlari $0.0001 / 1K token
Chiqish · Chiqish tokenlari $0 / 1K token
Kirish · Keshdan o‘qish — / 1K token
Kirish · Keshga yozish — / 1K token
Kirish · Keshga yozish, 1 soat — / 1K token

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. Summani band qilish va to‘lovni hisoblash tartibi →

So‘rov namunalari

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-ada-002: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

Natijalarni olish va saqlash

Ailoot Ultra · Batch

Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Asl holatni, har bir custom_id ni va javob/xatoni toʻliq saqlang. Barcha yakunlangan results[] ni JSONL shaklida saqlang; Files orqali yuklash/yuklab olish yoʻli bor deb hisoblamang.

Asl javobni tekshirish kerak bo‘lsa

Asl operatsiya ID sini saqlang va faqat oʻsha asl paketni oʻqing. Kutish muddati tugashi, xato yoki nomaʼlum holat qayta yaratishga ruxsat bermaydi.

Javob maydonlari
MaydonTur
Maydonresults[]Turarray
Maydonresults[].custom_idTurstring
Maydonresults[].responseTurobject
Maydonresults[].errorTurobject
Xatolar va keyingi qadamlar
JavobShartKeyingi qadam
Javob400 · invalid_request_errorShartMajburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.Keyingi qadamAlohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.
JavobShartAsl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.Keyingi qadamAsl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.

Taxalluslar

Model taxalluslari

Ailoot Ultra openai/text-embedding-ada-002:batch

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

openai/text-embedding-ada-002:batch

", "method_identity": { "effective_request_model_id": "openai/text-embedding-ada-002:batch", "fmt": "batches", "http": "POST", "path": "/v1/batches", "request_model_id": "openai/text-embedding-ada-002:batch", "route_label": "Ultra" }, "method_key": "Ultra|batches|/v1/batches|openai%2Ftext-embedding-ada-002%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": "Majburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.", "http_status": 400, "recovery": "Alohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.", "type": "invalid_request_error" }, { "condition": "Asl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.", "http_status": null, "recovery": "Asl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.", "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": "Asl operatsiya ID sini saqlang va faqat oʻsha asl paketni oʻqing. Kutish muddati tugashi, xato yoki nomaʼlum holat qayta yaratishga ruxsat bermaydi.", "unknown_no_replay": true }, "outputs": { "all_results": "Asl holatni, har bir custom_id ni va javob/xatoni toʻliq saqlang. Barcha yakunlangan results[] ni JSONL shaklida saqlang; Files orqali yuklash/yuklab olish yoʻli bor deb hisoblamang.", "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": "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.", "default_known": false, "enum": [ "openai/text-embedding-ada-002: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-ada-002: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-ada-002: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": [ "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning." ], "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": "haqiqiy asl response.id, ayni soʻrov yuboruvchi/kalit/guruh", "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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-ada-002: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": 0.1, "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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-ada-002: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": 0.1, "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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-ada-002:batch", "nativeProvenance": { "input_facts_canonical_sha256": "5437eb1cfc53d9fcb8a6b8559959f93036fff66e9d86b24adbc4ab752ec5ff33", "input_html_sha256": "ca5972ad421a39ae9565d9277c5188f2c81408347e331646140595af9f577e5d", "private_audit_sha256": "f836314cbc234bca4f42e830f20d22e4c04a00edd88aaadea22e0cec15f7dcad", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/openai-text-embedding-ada-002-u003a-batch/", "description": "Text Embedding Ada 002 Batch matn embedding so‘rovlari guruhini bitta Ailoot paketida yuboradi. Har bir elementni custom_id orqali kuzating va asl operatsiyaning to‘liq natijalarini oling.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/openai-text-embedding-ada-002-u003a-batch/index.md", "title": "OpenAI: Text Embedding Ada 002 (batch) — Ailoot", "url": "https://ailoot.ai/models/uz/openai-text-embedding-ada-002-u003a-batch/" }, "rawModel": { "about": "Text Embedding Ada 002 Batch /v1/batches dan aynan openai/text-embedding-ada-002:batch model ID si bilan foydalanadi. endpoint ni /v1/embeddings ga o‘rnating va requests ni yuboring; har bir element custom_id va input matn satri yoki satrlar massivi bo‘lgan body ni o‘z ichiga oladi. Ilovangiz natijalarni yangi yoki tahrirlangan parchalar to‘plamiga moslay olishi uchun identifikatorlarni barqaror saqlang.\n\nPaket asinxron bajariladi. Dastlab qaytarilgan operatsiya ID sini saqlang va ayni chaqiruvchi bilan o‘sha operatsiyani GET /v1/batches/{operation_id} orqali kuzating. Tugallangan natijalar to‘plamida har bir custom_id uchun javob yoki xato bo‘lishi mumkin; shu sabab umumiy holat bilan birga alohida element natijalarini ham tekshiring.\n\nHar bir custom_id va uning to‘liq javobi yoki xatosini saqlagan holda barcha tugallangan natijalarni JSONL ko‘rinishida yozing. Indeksni yangilashdan oldin muvaffaqiyatli vektorlarni yuborilgan hujjat ID lariga bog‘lang. Tugallanmagan yoki xatoli elementni allaqachon qaytarilgan natijalarni yo‘qotmasdan tekshirish uchun asl operatsiya va element yozuvlarini birga saqlang.", "alias_of": null, "aliases": [], "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan." } ], "ctx": null, "formats": [ "batches" ], "id": "openai/text-embedding-ada-002: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": "Majburiy maydon, model selektori, tur yoki kirish maʼlumotining ifodalanishi notoʻgʻri.", "http_status": 400, "recovery": "Alohida soʻrov tayyorlashdan oldin javobda qaytarilgan tekshiruv tafsilotlarini koʻrib chiqing.", "type": "invalid_request_error" }, { "condition": "Asl soʻrov yoki natija nomaʼlum yoki tekshirishni talab qiladi.", "http_status": null, "recovery": "Asl identifikatorlar va sarlavhalarni saqlang; faqat qoʻllab-quvvatlanadigan holat/kutubxona yozuvlarini oʻqing. Yaratish soʻrovini qayta yubormang.", "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": "Asl operatsiya ID sini saqlang va faqat oʻsha asl paketni oʻqing. Kutish muddati tugashi, xato yoki nomaʼlum holat qayta yaratishga ruxsat bermaydi.", "unknown_no_replay": true }, "outputs": { "all_results": "Asl holatni, har bir custom_id ni va javob/xatoni toʻliq saqlang. Barcha yakunlangan results[] ni JSONL shaklida saqlang; Files orqali yuklash/yuklab olish yoʻli bor deb hisoblamang.", "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": "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning.", "default_known": false, "enum": [ "openai/text-embedding-ada-002: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-ada-002: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-ada-002: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": [ "Ailoot soʻrovlarini yoʻnaltirish uchun aynan shu selektordan foydalaning." ], "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": "haqiqiy asl response.id, ayni soʻrov yuboruvchi/kalit/guruh", "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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-ada-002: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": 0.1, "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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-ada-002: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": 0.1, "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": "0.0001000", "amount_unit": "usd_per_thousand_tokens", "billing_input": true, "estimate_only": false, "key": "input_price", "label": "Input tokens", "native_amount_usd_per_unit": "0.0000001", "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-ada-002:batch", "request_model_id": "openai/text-embedding-ada-002:batch", "route_label": "Ultra" } ], "name": "OpenAI: Text Embedding Ada 002 (batch)", "price": { "in": 0.1, "in_label": null, "out": 0, "out_label": null, "scope_label": "Token rates", "sort_in": 0.1, "sort_out": 0, "varies": true }, "short": "Text Embedding Ada 002 Batch matn embedding so‘rovlari guruhini bitta Ailoot paketida yuboradi. Har bir elementni custom_id orqali kuzating va asl operatsiyaning to‘liq natijalarini oling.", "title": "OpenAI: Text Embedding Ada 002 (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 Ada 002 Batch matn embedding so‘rovlari guruhini bitta Ailoot paketida yuboradi. Har bir elementni custom_id orqali kuzating va asl operatsiyaning to‘liq natijalarini oling.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "13bc56241be9e27bdca4223c3e0d8be1a074fb8b892bbb92c258246ecbf32e0d", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "9f0fb68206b47c587a54d200780928d9478e0defa26f2f05cb06c1d005838f25" }