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  "aboutHtml": "<p>BAAI/bge-large-zh-v1.5 yra kiniškoji BAAI General Embedding v1.5 versija. Rinkitės ją kiniškam paieškos indeksui: pavyzdžiui, kliento klausimui susieti su atitinkama grąžinimo taisyklių pastraipa. Išvestis yra skaitinis vektorius panašumo paieškai, o ne sugeneruotas atsakymas. Oficialioje modelio kortelėje nurodyta kinų kalbos paskirtis ir paaiškinta, kad v1.5 pagerina panašumo reikšmių pasiskirstymą.</p><p>Ailoot per /v1/embeddings priima vieną teksto eilutę arba eilučių masyvą. Ir ištraukas, ir užklausas paverskite įterpiniais būtent šia versija, o kiekvieną data[].embedding susiekite su data[].index. Trumpų klausimų ir ištraukų paieškai BAAI rekomenduoja užklausą papildyti paieškos instrukcija; ištraukos lieka be prefikso. Panašumo slenksčius reikia suderinti pagal savo medžiagą: balas nėra tikimybė, kad ištrauka atsako į klausimą. Užklausos taisyklę rasite <a href=\"https://huggingface.co/BAAI/bge-large-zh-v1.5\">BAAI modelio kortelėje</a>.</p>",
  "aboutText": "BAAI/bge-large-zh-v1.5 yra kiniškoji BAAI General Embedding v1.5 versija. Rinkitės ją kiniškam paieškos indeksui: pavyzdžiui, kliento klausimui susieti su atitinkama grąžinimo taisyklių pastraipa. Išvestis yra skaitinis vektorius panašumo paieškai, o ne sugeneruotas atsakymas. Oficialioje modelio kortelėje nurodyta kinų kalbos paskirtis ir paaiškinta, kad v1.5 pagerina panašumo reikšmių pasiskirstymą. Ailoot per /v1/embeddings priima vieną teksto eilutę arba eilučių masyvą. Ir ištraukas, ir užklausas paverskite įterpiniais būtent šia versija, o kiekvieną data[].embedding susiekite su data[].index. Trumpų klausimų ir ištraukų paieškai BAAI rekomenduoja užklausą papildyti paieškos instrukcija; ištraukos lieka be prefikso. Panašumo slenksčius reikia suderinti pagal savo medžiagą: balas nėra tikimybė, kad ištrauka atsako į klausimą. Užklausos taisyklę rasite BAAI modelio kortelėje .",
  "editorialOverlay": {
    "copy_fields": {
      "about_html": "<p>BAAI/bge-large-zh-v1.5 yra kiniškoji BAAI General Embedding v1.5 versija. Rinkitės ją kiniškam paieškos indeksui: pavyzdžiui, kliento klausimui susieti su atitinkama grąžinimo taisyklių pastraipa. Išvestis yra skaitinis vektorius panašumo paieškai, o ne sugeneruotas atsakymas. Oficialioje modelio kortelėje nurodyta kinų kalbos paskirtis ir paaiškinta, kad v1.5 pagerina panašumo reikšmių pasiskirstymą.</p><p>Ailoot per /v1/embeddings priima vieną teksto eilutę arba eilučių masyvą. Ir ištraukas, ir užklausas paverskite įterpiniais būtent šia versija, o kiekvieną data[].embedding susiekite su data[].index. Trumpų klausimų ir ištraukų paieškai BAAI rekomenduoja užklausą papildyti paieškos instrukcija; ištraukos lieka be prefikso. Panašumo slenksčius reikia suderinti pagal savo medžiagą: balas nėra tikimybė, kad ištrauka atsako į klausimą. Užklausos taisyklę rasite <a href=\"https://huggingface.co/BAAI/bge-large-zh-v1.5\">BAAI modelio kortelėje</a>.</p>",
      "short_text": "BAAI įterpiniai kiniškų ištraukų paieškai, per Ailoot pateikiami teksto pavertimo vektoriais užklausomis."
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  "methods": [
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">BAAI/bge-large-zh-v1.5</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Uždaryti\">×</button></div><div class=\"idline\"><span>Kita /</span><code>BAAI/bge-large-zh-v1.5</code><button type=\"button\" id=\"copy-id\">Kopijuoti ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Modelio kortelės skyriai\"><button type=\"button\" data-card-jump=\"overview\">Pradžia</button><button type=\"button\" data-card-jump=\"methods\">Įvestys ir metodai</button><button type=\"button\" data-card-jump=\"pricing\">Planai</button><button type=\"button\" data-card-jump=\"examples\">Pavyzdžiai</button><button type=\"button\" data-card-jump=\"results\">Rezultatai</button><button type=\"button\" data-card-jump=\"aliases\">Pseudonimai</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API metodai\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|embeddings|/v1/embeddings|BAAI%2Fbge-large-zh-v1.5\">Įterpiniai</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Pradžia</h3><p class=\"mdesc-full\">BAAI įterpiniai kiniškų ištraukų paieškai, per Ailoot pateikiami teksto pavertimo vektoriais užklausomis.</p><dl class=\"card-io\" data-card-io><div><dt>Leidžiamos įvestys</dt><dd>Tekstas</dd></div><div><dt>Rezultatai</dt><dd>embedding</dd></div></dl><details class=\"card-about\"><summary>Apie modelį</summary><p class=\"note-s\" data-model-method-boundary>Šis aprašas apima modelio galimybes. Pasirinktam metodui Ailoot prieinamos įvestys, išvestys ir parinktys nurodytos toliau.</p><div class=\"mabout\" id=\"m-about\"><p>BAAI/bge-large-zh-v1.5 yra kiniškoji BAAI General Embedding v1.5 versija. Rinkitės ją kiniškam paieškos indeksui: pavyzdžiui, kliento klausimui susieti su atitinkama grąžinimo taisyklių pastraipa. Išvestis yra skaitinis vektorius panašumo paieškai, o ne sugeneruotas atsakymas. Oficialioje modelio kortelėje nurodyta kinų kalbos paskirtis ir paaiškinta, kad v1.5 pagerina panašumo reikšmių pasiskirstymą.</p><p>Ailoot per /v1/embeddings priima vieną teksto eilutę arba eilučių masyvą. Ir ištraukas, ir užklausas paverskite įterpiniais būtent šia versija, o kiekvieną data[].embedding susiekite su data[].index. Trumpų klausimų ir ištraukų paieškai BAAI rekomenduoja užklausą papildyti paieškos instrukcija; ištraukos lieka be prefikso. Panašumo slenksčius reikia suderinti pagal savo medžiagą: balas nėra tikimybė, kad ištrauka atsako į klausimą. Užklausos taisyklę rasite <a href=\"https://huggingface.co/BAAI/bge-large-zh-v1.5\">BAAI modelio kortelėje</a>.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Prieinama Ailoot · įvestys ir metodai</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Embeddings</b> <code>POST /v1/embeddings</code></summary><dl class=\"method-capabilities\"><div><dt>Įvestis</dt><dd><code>text</code></dd></div><div><dt>Išvestis</dt><dd><code>embedding</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Laukas</th><th>Tipas</th><th>Reikalavimas</th><th>Reikšmės ir ribos</th><th>Numatyta</th></tr></thead><tbody><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Privaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>BAAI/bge-large-zh-v1.5</div><div>Sąlygos: Naudokite būtent šį Ailoot maršrutizavimo parinkiklį.</div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr><tr><th data-cell-label=\"Laukas\" scope=\"row\"><span class=\"card-cell-label\">Laukas</span><code class=\"card-field-name\">input</code></th><td data-cell-label=\"Tipas\" data-field-type><span class=\"card-cell-label\">Tipas</span><code>string or array&lt;string&gt;</code></td><td data-cell-label=\"Reikalavimas\"><span class=\"card-cell-label\">Reikalavimas</span>Privaloma</td><td data-cell-label=\"Reikšmės ir ribos\"><span class=\"card-cell-label\">Reikšmės ir ribos</span><div>Sąlygos: </div></td><td data-cell-label=\"Numatyta\" data-default=\"unspecified\"><span class=\"card-cell-label\">Numatyta</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Metodo parametrai ir gyvavimo ciklas</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametras</th><th>Specifikacija</th></tr></thead><tbody><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>content_type</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>application/json</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>required</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>model, input</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>optional</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span></td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>material_types</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>text</td></tr><tr><th data-cell-label=\"Parametras\" scope=\"row\"><span class=\"card-cell-label\">Parametras</span><code>conditions</code></th><td data-cell-label=\"Specifikacija\"><span class=\"card-cell-label\">Specifikacija</span>Naudokite būtent šį Ailoot maršrutizavimo parinkiklį.</td></tr></tbody></table></div><p>Gyvavimo ciklas: <code>synchronous_json</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Planai</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarifų informacija neprideda užklausos parinkčių. Palaikomi parametrai nurodyti prie pasirinkto metodo.</p><dl data-price-conditions><dt>Spartusis režimas</dt><dd>Nenurodyta <span class=\"note-s\">Pasirinkus spartųjį režimą</span></dd><dt>Flex režimas</dt><dd>Nenurodyta <span class=\"note-s\">Pasirinkus flex režimą</span></dd><dt>Didžiausios samprotavimo pastangos</dt><dd>Nenurodyta <span class=\"note-s\">Kai didžiausioms samprotavimo pastangoms taikomas numatytasis koregavimas (default)</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot įkainiai</h4><h4>Kainos pagal konfigūraciją</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Konfigūracija</th><th>Įkainių lentelė</th><th>Mokestis</th></tr></thead><tbody><tr><th data-cell-label=\"Konfigūracija\" scope=\"row\"><span class=\"card-cell-label\">Konfigūracija</span>Baziniai žetonų įkainiai</th><td data-cell-label=\"Įkainių lentelė\"><span class=\"card-cell-label\">Įkainių lentelė</span>Bazinis įkainis</td><td data-cell-label=\"Mokestis\"><span class=\"card-cell-label\">Mokestis</span><div><span>Įvestis · Įvesties tokenai</span> <b>$0.00004</b> <span class=\"price-unit\">/ 1K tokenų</span></div><div><span>Išvestis · Išvesties tokenai</span> <b>$0</b> <span class=\"price-unit\">/ 1K tokenų</span></div><div><span>Įvestis · Talpyklos skaitymas</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenų</span></div><div><span>Įvestis · Rašymas į talpyklą</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenų</span></div><div><span>Įvestis · Rašymas į talpyklą, 1 val</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenų</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot prieš užklausą rezervuoja numatomą sumą. Gavus rezultatą, galutinis mokestis nuskaitomas pagal išmatuotą naudojimą. Srautinio atsakymo atsiskaitymui naudojamas galutinis naudojimo įrašas. <a href=\"/docs/lt/billing/reserve/\">Kaip veikia rezervavimas ir atsiskaitymas →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Užklausų pavyzdžiai</h3><h4>Ailoot Ultra · Embeddings</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kodo variantai\"><button class=\"cg-tab\" id=\"model-code-2819-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2819-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · sukurkite vieną kartą ir išsaugokite visą rezultatą</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kopijuoti kodą\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2819-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2819-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;BAAI/bge-large-zh-v1.5&quot;, &quot;input&quot;: &quot;The quick brown fox jumps over the lazy dog&quot;}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/embeddings \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Gauti ir išsaugoti rezultatus</h3></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Pseudonimai</h3><h4>Modelių pseudonimai</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=BAAI%2Fbge-large-zh-v1.5&amp;route=Ultra&amp;caller=BAAI%2Fbge-large-zh-v1.5&amp;fmt=embeddings\"><code>BAAI/bge-large-zh-v1.5</code></a></span></p><h4>Metodų kelių pseudonimai</h4><p class=\"note-s\">Naudokite aukščiau nurodytus metodų kelius.</p><h4>Susiję ID iškvietimui</h4><p class=\"note-s\"><a href=\"#m=BAAI%2Fbge-large-zh-v1.5&amp;route=Ultra&amp;caller=BAAI%2Fbge-large-zh-v1.5&amp;fmt=embeddings\"><code>BAAI/bge-large-zh-v1.5</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "BAAI/bge-large-zh-v1.5",
        "fmt": "embeddings",
        "http": "POST",
        "path": "/v1/embeddings",
        "request_model_id": "BAAI/bge-large-zh-v1.5",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|embeddings|/v1/embeddings|BAAI%2Fbge-large-zh-v1.5",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "accepted_material_guidance": {
              "conditions": [
                "Send text with the selected model; retain every returned vector and its index."
              ],
              "content_type": "application/json",
              "material_types": [
                "text"
              ],
              "optional": [],
              "required": [
                "model",
                "input"
              ]
            },
            "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": "Privalomas laukas, modelio parinkiklis, tipas arba įvesties pateikimo forma yra netinkami.",
                "http_status": 400,
                "recovery": "Prieš rengdami atskirą užklausą, peržiūrėkite grąžintą išsamią patikros informaciją.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Pradinė užklausa arba rezultatas nežinomi arba juos reikia patikrinti.",
                "http_status": null,
                "recovery": "Išsaugokite pradinius identifikatorius ir antraštes; skaitykite tik palaikomus būsenos ar bibliotekos įrašus. Nesiųskite kūrimo užklausos dar kartą.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/embeddings"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Išsaugokite pradinį X-Client-Request-ID, atsakymą ir antraštes. Nežinomas rezultatas arba result_pending_check nesuteikia leidimo siųsti antrą kūrimo užklausą.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Išsaugokite visą atsakymą ir antraštes, pradinius identifikatorius, kiekvieną tikrą rezultatą ir visus naudojimo bei apskaitos laukus. Išsaugokite kiekvieną unikalų jums priklausantį išteklių ir visas į jį nukreiptas paskirtis.",
              "every_actual_output": true,
              "family": "embedding",
              "fields": [
                {
                  "name": "data[].index",
                  "type": "integer"
                },
                {
                  "name": "data[].embedding",
                  "type": "array<number>"
                },
                {
                  "name": "model",
                  "type": "string"
                },
                {
                  "name": "usage",
                  "type": "object"
                }
              ]
            },
            "parameters": [
              {
                "conditions": "Naudokite būtent šį Ailoot maršrutizavimo parinkiklį.",
                "default_known": false,
                "enum": [
                  "BAAI/bge-large-zh-v1.5"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "input",
                "oneOf": [
                  {
                    "minLength": 1,
                    "type": "string"
                  },
                  {
                    "items": {
                      "minLength": 1,
                      "type": "string"
                    },
                    "minItems": 1,
                    "type": "array"
                  }
                ],
                "required": true,
                "type": "string or array<string>"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "input": {
                  "oneOf": [
                    {
                      "minLength": 1,
                      "type": "string"
                    },
                    {
                      "items": {
                        "minLength": 1,
                        "type": "string"
                      },
                      "minItems": 1,
                      "type": "array"
                    }
                  ]
                },
                "model": {
                  "enum": [
                    "BAAI/bge-large-zh-v1.5"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "input"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "input": "The quick brown fox jumps over the lazy dog",
                "model": "BAAI/bge-large-zh-v1.5"
              },
              "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": [
              "Naudokite būtent šį Ailoot maršrutizavimo parinkiklį."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "required": [
              "model",
              "input"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/embeddings"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/embeddings"
          },
          "method_aliases": [],
          "output": {
            "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.",
            "every_actual_output": true,
            "family": "embedding",
            "fields": [
              {
                "name": "data[].index",
                "type": "integer"
              },
              {
                "name": "data[].embedding",
                "type": "array<number>"
              },
              {
                "name": "model",
                "type": "string"
              },
              {
                "name": "usage",
                "type": "object"
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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('{\"model\": \"BAAI/bge-large-zh-v1.5\", \"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/embeddings \\\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"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "embeddings",
        "http": "POST",
        "in": 0.04,
        "input": [
          "text"
        ],
        "label": "Embeddings",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": 0,
        "output": [
          "embedding"
        ],
        "path": "/v1/embeddings",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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": "BAAI/bge-large-zh-v1.5",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.00004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000004",
            "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": "BAAI/bge-large-zh-v1.5",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "4dfb0241110faba5fc110060163ed7c5c713a1be1bdb24f847aa704ae27971a3",
    "input_html_sha256": "f37921b3d94761f5939cb83f6eb71bd5c60da1bb4766f19d423665d049c26714",
    "private_audit_sha256": "aaec066059ede94cfae96386d03d386343832a5cc00619ea23424978c212917c",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/lt/baai-bge-large-zh-v1-5/",
    "description": "BAAI įterpiniai kiniškų ištraukų paieškai, per Ailoot pateikiami teksto pavertimo vektoriais užklausomis.",
    "locale": "lt",
    "md_url": "https://ailoot.ai/models/lt/baai-bge-large-zh-v1-5/index.md",
    "title": "BAAI/bge-large-zh-v1.5 — Ailoot",
    "url": "https://ailoot.ai/models/lt/baai-bge-large-zh-v1-5/"
  },
  "rawModel": {
    "about": "BAAI/bge-large-zh-v1.5 naudoja /v1/embeddings su model ir input. Pateikite tikslų modelio ID ir vieną netuščią teksto eilutę arba netuščią teksto eilučių masyvą. JSON atsakyme yra data įrašai su index ir embedding bei modelio ir usage informacija.\n\nDokumentų indeksui paruoškite rišlias ištraukas ir greta pateiktų eilučių išsaugokite savo dokumentų ir segmentų identifikatorius. Kiekvieną grąžintą vektorių susiekite su jo data[].index, užuot ištraukos formuluotę naudoję kaip jos identifikatorių. Kai programa lygina užklausą su indeksuota medžiaga, užklausą koduokite tuo pačiu pasirinktu modeliu.\n\nGalinis taškas vektorius grąžina sinchroniškai. Prieš atnaujindami indeksą išsaugokite kiekvieną data įrašą ir visą usage įrašą. Patikrinkite, ar grąžinti indeksai apima pateiktą medžiagą, tada su vektoriais išsaugokite pradinį tekstą ir modelio ID, kad vėlesnius paieškos rezultatus būtų galima atsekti iki jų šaltinio ištraukų.",
    "alias_of": null,
    "aliases": [],
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.00004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000004",
            "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": "Visa konfigūracijos kainodara pateikta išsamioje informacijoje."
      }
    ],
    "ctx": null,
    "formats": [
      "embeddings"
    ],
    "id": "BAAI/bge-large-zh-v1.5",
    "input": [
      "text"
    ],
    "kind": "embedding",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "accepted_material_guidance": {
              "conditions": [
                "Send text with the selected model; retain every returned vector and its index."
              ],
              "content_type": "application/json",
              "material_types": [
                "text"
              ],
              "optional": [],
              "required": [
                "model",
                "input"
              ]
            },
            "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": "Privalomas laukas, modelio parinkiklis, tipas arba įvesties pateikimo forma yra netinkami.",
                "http_status": 400,
                "recovery": "Prieš rengdami atskirą užklausą, peržiūrėkite grąžintą išsamią patikros informaciją.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Pradinė užklausa arba rezultatas nežinomi arba juos reikia patikrinti.",
                "http_status": null,
                "recovery": "Išsaugokite pradinius identifikatorius ir antraštes; skaitykite tik palaikomus būsenos ar bibliotekos įrašus. Nesiųskite kūrimo užklausos dar kartą.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/embeddings"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Išsaugokite pradinį X-Client-Request-ID, atsakymą ir antraštes. Nežinomas rezultatas arba result_pending_check nesuteikia leidimo siųsti antrą kūrimo užklausą.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Išsaugokite visą atsakymą ir antraštes, pradinius identifikatorius, kiekvieną tikrą rezultatą ir visus naudojimo bei apskaitos laukus. Išsaugokite kiekvieną unikalų jums priklausantį išteklių ir visas į jį nukreiptas paskirtis.",
              "every_actual_output": true,
              "family": "embedding",
              "fields": [
                {
                  "name": "data[].index",
                  "type": "integer"
                },
                {
                  "name": "data[].embedding",
                  "type": "array<number>"
                },
                {
                  "name": "model",
                  "type": "string"
                },
                {
                  "name": "usage",
                  "type": "object"
                }
              ]
            },
            "parameters": [
              {
                "conditions": "Naudokite būtent šį Ailoot maršrutizavimo parinkiklį.",
                "default_known": false,
                "enum": [
                  "BAAI/bge-large-zh-v1.5"
                ],
                "enum_known": true,
                "maximum_length": null,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "conditions": "",
                "default_known": false,
                "enum_known": false,
                "maximum_length": null,
                "name": "input",
                "oneOf": [
                  {
                    "minLength": 1,
                    "type": "string"
                  },
                  {
                    "items": {
                      "minLength": 1,
                      "type": "string"
                    },
                    "minItems": 1,
                    "type": "array"
                  }
                ],
                "required": true,
                "type": "string or array<string>"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "input": {
                  "oneOf": [
                    {
                      "minLength": 1,
                      "type": "string"
                    },
                    {
                      "items": {
                        "minLength": 1,
                        "type": "string"
                      },
                      "minItems": 1,
                      "type": "array"
                    }
                  ]
                },
                "model": {
                  "enum": [
                    "BAAI/bge-large-zh-v1.5"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "model",
                "input"
              ],
              "type": "object"
            },
            "schema_template": {
              "actual_file_preparation_required": false,
              "body": {
                "input": "The quick brown fox jumps over the lazy dog",
                "model": "BAAI/bge-large-zh-v1.5"
              },
              "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": [
              "Naudokite būtent šį Ailoot maršrutizavimo parinkiklį."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "required": [
              "model",
              "input"
            ]
          },
          "lifecycle": {
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/embeddings"
            },
            "mode": "synchronous_json",
            "status": [],
            "unknown": "Keep the original X-Client-Request-ID, response and headers. An unknown or result_pending_check outcome does not authorize a second creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/embeddings"
          },
          "method_aliases": [],
          "output": {
            "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.",
            "every_actual_output": true,
            "family": "embedding",
            "fields": [
              {
                "name": "data[].index",
                "type": "integer"
              },
              {
                "name": "data[].embedding",
                "type": "array<number>"
              },
              {
                "name": "model",
                "type": "string"
              },
              {
                "name": "usage",
                "type": "object"
              }
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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('{\"model\": \"BAAI/bge-large-zh-v1.5\", \"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/embeddings \\\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"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "embeddings",
        "http": "POST",
        "in": 0.04,
        "input": [
          "text"
        ],
        "label": "Embeddings",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": 0,
        "output": [
          "embedding"
        ],
        "path": "/v1/embeddings",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "token",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": "0.00004000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": "0.00000004",
                "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": "BAAI/bge-large-zh-v1.5",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": "0.00004000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": "0.00000004",
            "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": "BAAI/bge-large-zh-v1.5",
        "request_model_id": "BAAI/bge-large-zh-v1.5",
        "route_label": "Ultra"
      }
    ],
    "name": "BAAI/bge-large-zh-v1.5",
    "price": {
      "in": 0.04,
      "in_label": null,
      "out": 0,
      "out_label": null,
      "scope_label": "Token rates",
      "sort_in": 0.04,
      "sort_out": 0,
      "varies": false
    },
    "short": "BAAI/bge-large-zh-v1.5 per Ailoot paverčia teksto eilutę arba eilučių sąrašą skaitiniais vektoriniais atvaizdais. Paieškos ir dokumentų indeksavimo darbo eigoms kiekvieną vektorių laikykite kartu su jo įvesties indeksu.",
    "title": "BAAI/bge-large-zh-v1.5"
  },
  "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": "BAAI įterpiniai kiniškų ištraukų paieškai, per Ailoot pateikiami teksto pavertimo vektoriais užklausomis.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "3db290f86d7bfb0b2538a40aad7648cdfd0b303192a5fd90ebc0c594e8db931d",
    "renderer_sha256": "57bd2f8a61f57d341aae369006eca818e3eea645ec43af488ec7b2289eeca772"
  },
  "sourceRevision": "42b615caf1673eabf0c106fa5da88ac4dfec20e972b857b89842a0ab20b97fe9"
}