{
  "aboutHtml": "<p>BAAI/bge-large-zh-v1.5 on BAAI General Embedding v1.5:n kiinankielinen versio. Valitse se kiinankieliseen hakuindeksiin, esimerkiksi yhdistämään asiakkaan kysymys oikeaan palautusehtojen kappaleeseen. Se tuottaa generoidun vastauksen sijaan numeerisen vektorin samankaltaisuushakua varten. Virallinen mallikortti nimeää kiinankielisen painotuksen ja kuvaa v1.5:n parantavan samankaltaisuuksien jakaumaa.</p><p>Ailoot hyväksyy yhden tekstimerkkijonon tai merkkijonotaulukon /v1/embeddings-päätepisteessä. Muunna sekä katkelmat että hakukyselyt vektoreiksi tällä täsmällisellä versiolla ja yhdistä jokainen data[].embedding sen data[].index-arvoon. Lyhyen kysymyksen ja katkelman väliseen hakuun BAAI suosittelee hakuohjetta kyselyn alkuun; katkelmiin ei lisätä etuliitettä. Kalibroi samankaltaisuuskynnykset omalla aineistollasi: pistemäärä ei ole todennäköisyys sille, että katkelma vastaa kysymykseen. Kyselyn käytäntö kuvataan <a href=\"https://huggingface.co/BAAI/bge-large-zh-v1.5\">BAAI:n mallikortissa</a>.</p>",
  "aboutText": "BAAI/bge-large-zh-v1.5 on BAAI General Embedding v1.5:n kiinankielinen versio. Valitse se kiinankieliseen hakuindeksiin, esimerkiksi yhdistämään asiakkaan kysymys oikeaan palautusehtojen kappaleeseen. Se tuottaa generoidun vastauksen sijaan numeerisen vektorin samankaltaisuushakua varten. Virallinen mallikortti nimeää kiinankielisen painotuksen ja kuvaa v1.5:n parantavan samankaltaisuuksien jakaumaa. Ailoot hyväksyy yhden tekstimerkkijonon tai merkkijonotaulukon /v1/embeddings-päätepisteessä. Muunna sekä katkelmat että hakukyselyt vektoreiksi tällä täsmällisellä versiolla ja yhdistä jokainen data[].embedding sen data[].index-arvoon. Lyhyen kysymyksen ja katkelman väliseen hakuun BAAI suosittelee hakuohjetta kyselyn alkuun; katkelmiin ei lisätä etuliitettä. Kalibroi samankaltaisuuskynnykset omalla aineistollasi: pistemäärä ei ole todennäköisyys sille, että katkelma vastaa kysymykseen. Kyselyn käytäntö kuvataan BAAI:n mallikortissa .",
  "editorialOverlay": {
    "copy_fields": {
      "about_html": "<p>BAAI/bge-large-zh-v1.5 on BAAI General Embedding v1.5:n kiinankielinen versio. Valitse se kiinankieliseen hakuindeksiin, esimerkiksi yhdistämään asiakkaan kysymys oikeaan palautusehtojen kappaleeseen. Se tuottaa generoidun vastauksen sijaan numeerisen vektorin samankaltaisuushakua varten. Virallinen mallikortti nimeää kiinankielisen painotuksen ja kuvaa v1.5:n parantavan samankaltaisuuksien jakaumaa.</p><p>Ailoot hyväksyy yhden tekstimerkkijonon tai merkkijonotaulukon /v1/embeddings-päätepisteessä. Muunna sekä katkelmat että hakukyselyt vektoreiksi tällä täsmällisellä versiolla ja yhdistä jokainen data[].embedding sen data[].index-arvoon. Lyhyen kysymyksen ja katkelman väliseen hakuun BAAI suosittelee hakuohjetta kyselyn alkuun; katkelmiin ei lisätä etuliitettä. Kalibroi samankaltaisuuskynnykset omalla aineistollasi: pistemäärä ei ole todennäköisyys sille, että katkelma vastaa kysymykseen. Kyselyn käytäntö kuvataan <a href=\"https://huggingface.co/BAAI/bge-large-zh-v1.5\">BAAI:n mallikortissa</a>.</p>",
      "short_text": "BAAI:n kiinankielisen tekstinhaun upotusmalli, jota käytetään Ailootissa tekstistä vektoriksi -pyynnöillä."
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    {
      "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=\"Sulje\">×</button></div><div class=\"idline\"><span>Muu /</span><code>BAAI/bge-large-zh-v1.5</code><button type=\"button\" id=\"copy-id\">Kopioi ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Mallikortin osiot\"><button type=\"button\" data-card-jump=\"overview\">Aloitus</button><button type=\"button\" data-card-jump=\"methods\">Syötteet &amp; menetelmät</button><button type=\"button\" data-card-jump=\"pricing\">Hinnoittelu</button><button type=\"button\" data-card-jump=\"examples\">Esimerkit</button><button type=\"button\" data-card-jump=\"results\">Tulokset</button><button type=\"button\" data-card-jump=\"aliases\">Aliakset</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API-menetelmät\"><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\">Vektoriesitykset</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\">Aloitus</h3><p class=\"mdesc-full\">BAAI:n kiinankielisen tekstinhaun upotusmalli, jota käytetään Ailootissa tekstistä vektoriksi -pyynnöillä.</p><dl class=\"card-io\" data-card-io><div><dt>Hyväksytyt syötteet</dt><dd>Teksti</dd></div><div><dt>Tulokset</dt><dd>embedding</dd></div></dl><details class=\"card-about\"><summary>Tietoa mallista</summary><p class=\"note-s\" data-model-method-boundary>Tämä kuvaus kattaa mallin ominaisuudet. Ailootissa saatavilla olevat syötteet, tulosteet ja asetukset luetellaan alla valitulle menetelmälle.</p><div class=\"mabout\" id=\"m-about\"><p>BAAI/bge-large-zh-v1.5 on BAAI General Embedding v1.5:n kiinankielinen versio. Valitse se kiinankieliseen hakuindeksiin, esimerkiksi yhdistämään asiakkaan kysymys oikeaan palautusehtojen kappaleeseen. Se tuottaa generoidun vastauksen sijaan numeerisen vektorin samankaltaisuushakua varten. Virallinen mallikortti nimeää kiinankielisen painotuksen ja kuvaa v1.5:n parantavan samankaltaisuuksien jakaumaa.</p><p>Ailoot hyväksyy yhden tekstimerkkijonon tai merkkijonotaulukon /v1/embeddings-päätepisteessä. Muunna sekä katkelmat että hakukyselyt vektoreiksi tällä täsmällisellä versiolla ja yhdistä jokainen data[].embedding sen data[].index-arvoon. Lyhyen kysymyksen ja katkelman väliseen hakuun BAAI suosittelee hakuohjetta kyselyn alkuun; katkelmiin ei lisätä etuliitettä. Kalibroi samankaltaisuuskynnykset omalla aineistollasi: pistemäärä ei ole todennäköisyys sille, että katkelma vastaa kysymykseen. Kyselyn käytäntö kuvataan <a href=\"https://huggingface.co/BAAI/bge-large-zh-v1.5\">BAAI:n mallikortissa</a>.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Saatavilla Ailootissa · syötteet &amp; menetelmät</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Embeddings</b> <code>POST /v1/embeddings</code></summary><dl class=\"method-capabilities\"><div><dt>Syötetyypit</dt><dd><code>text</code></dd></div><div><dt>Tulostyypit</dt><dd><code>embedding</code></dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Kenttä</th><th>Tyyppi</th><th>Vaatimus</th><th>Arvot &amp; rajat</th><th>Oletus</th></tr></thead><tbody><tr><th data-cell-label=\"Kenttä\" scope=\"row\"><span class=\"card-cell-label\">Kenttä</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tyyppi\" data-field-type><span class=\"card-cell-label\">Tyyppi</span><code>string</code></td><td data-cell-label=\"Vaatimus\"><span class=\"card-cell-label\">Vaatimus</span>Pakollinen</td><td data-cell-label=\"Arvot &amp; rajat\"><span class=\"card-cell-label\">Arvot &amp; rajat</span><div>BAAI/bge-large-zh-v1.5</div><div>Ehdot: Käytä täsmälleen tätä Ailoot-reititysvalitsinta.</div></td><td data-cell-label=\"Oletus\" data-default=\"unspecified\"><span class=\"card-cell-label\">Oletus</span>—</td></tr><tr><th data-cell-label=\"Kenttä\" scope=\"row\"><span class=\"card-cell-label\">Kenttä</span><code class=\"card-field-name\">input</code></th><td data-cell-label=\"Tyyppi\" data-field-type><span class=\"card-cell-label\">Tyyppi</span><code>string or array&lt;string&gt;</code></td><td data-cell-label=\"Vaatimus\"><span class=\"card-cell-label\">Vaatimus</span>Pakollinen</td><td data-cell-label=\"Arvot &amp; rajat\"><span class=\"card-cell-label\">Arvot &amp; rajat</span><div>Ehdot: </div></td><td data-cell-label=\"Oletus\" data-default=\"unspecified\"><span class=\"card-cell-label\">Oletus</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Menetelmän parametrit ja elinkaari</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametri</th><th>Sopimus</th></tr></thead><tbody><tr><th data-cell-label=\"Parametri\" scope=\"row\"><span class=\"card-cell-label\">Parametri</span><code>content_type</code></th><td data-cell-label=\"Sopimus\"><span class=\"card-cell-label\">Sopimus</span>application/json</td></tr><tr><th data-cell-label=\"Parametri\" scope=\"row\"><span class=\"card-cell-label\">Parametri</span><code>required</code></th><td data-cell-label=\"Sopimus\"><span class=\"card-cell-label\">Sopimus</span>model, input</td></tr><tr><th data-cell-label=\"Parametri\" scope=\"row\"><span class=\"card-cell-label\">Parametri</span><code>optional</code></th><td data-cell-label=\"Sopimus\"><span class=\"card-cell-label\">Sopimus</span></td></tr><tr><th data-cell-label=\"Parametri\" scope=\"row\"><span class=\"card-cell-label\">Parametri</span><code>material_types</code></th><td data-cell-label=\"Sopimus\"><span class=\"card-cell-label\">Sopimus</span>text</td></tr><tr><th data-cell-label=\"Parametri\" scope=\"row\"><span class=\"card-cell-label\">Parametri</span><code>conditions</code></th><td data-cell-label=\"Sopimus\"><span class=\"card-cell-label\">Sopimus</span>Käytä täsmälleen tätä Ailoot-reititysvalitsinta.</td></tr></tbody></table></div><p>Elinkaari: <code>synchronous_json</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Hinnoittelu</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Hintatiedot eivät lisää pyyntövalintoja. Tuetut parametrit on lueteltu valitulle menetelmälle.</p><dl data-price-conditions><dt>Nopea tila</dt><dd>Ei määritetty <span class=\"note-s\">Kun nopea tila on valittu</span></dd><dt>Flex-tila</dt><dd>Ei määritetty <span class=\"note-s\">Kun flex-tila on valittu</span></dd><dt>Päättelyn enimmäisteho</dt><dd>Ei määritetty <span class=\"note-s\">Kun päättelyn enimmäistehoon sovelletaan default-oletussäätöä</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot-hinnat</h4><h4>Hinnat asetusten mukaan</h4><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Asetukset</th><th>Hinnasto</th><th>Veloitus</th></tr></thead><tbody><tr><th data-cell-label=\"Asetukset\" scope=\"row\"><span class=\"card-cell-label\">Asetukset</span>Tokenien perushinnat</th><td data-cell-label=\"Hinnasto\"><span class=\"card-cell-label\">Hinnasto</span>Perushinta</td><td data-cell-label=\"Veloitus\"><span class=\"card-cell-label\">Veloitus</span><div><span>Syöte · Syötetokenit</span> <b>$0.00004</b> <span class=\"price-unit\">/ 1K tokenia</span></div><div><span>Tuloste · Tulostokenit</span> <b>$0</b> <span class=\"price-unit\">/ 1K tokenia</span></div><div><span>Syöte · Välimuistin luku</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenia</span></div><div><span>Syöte · Välimuistiin kirjoitus</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenia</span></div><div><span>Syöte · Välimuistiin kirjoitus, 1 tunti</span> <b>—</b> <span class=\"price-unit\">/ 1K tokenia</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot varaa arvioidun summan ennen pyyntöä. Tuloksen jälkeen lopullinen veloitus toteutetaan mitatun käytön perusteella. Suoratoiston veloituksessa käytetään lopullista käyttötietuetta. <a href=\"/docs/fi/billing/reserve/\">Varauksen ja lopullisen veloituksen toiminta →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Esimerkkipyynnöt</h3><h4>Ailoot Ultra · Embeddings</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Koodivaihtoehdot\"><button class=\"cg-tab\" id=\"model-code-2819-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2819-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · luo vain kerran ja säilytä koko tulos</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kopioi koodi\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2819-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2819-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${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\">Vastaanota ja tallenna tulokset</h3></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Aliakset</h3><h4>Mallin aliakset</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>Menetelmäpolkujen aliakset</h4><p class=\"note-s\">Käytä yllä näytettyjä menetelmäpolkuja.</p><h4>Liittyvät kutsujan ID:t</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": "Pakollinen kenttä, mallivalitsin, tyyppi tai syötteen esitysmuoto on virheellinen.",
                "http_status": 400,
                "recovery": "Tarkista palautetut validointitiedot ennen erillisen pyynnön valmistelua.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Alkuperäinen pyyntö tai tulos on tuntematon tai vaatii tarkistuksen.",
                "http_status": null,
                "recovery": "Säilytä alkuperäiset tunnisteet ja otsakkeet; lue vain tuettuja tila- tai kirjastotietueita. Älä lähetä luontipyyntöä uudelleen.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/embeddings"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Säilytä alkuperäinen X-Client-Request-ID, vastaus ja otsakkeet. Tuntematon tulos tai result_pending_check ei oikeuta toiseen luontipyyntöön.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Säilytä koko vastaus ja otsakkeet, alkuperäiset tunnisteet, jokainen todellinen tulos sekä kaikki käyttö- ja veloitustietokentät. Tallenna jokainen yksilöllinen käyttäjälle kuuluva aineisto ja säilytä kaikki siihen viittaavat roolit.",
              "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": "Käytä täsmälleen tätä Ailoot-reititysvalitsinta.",
                "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": [
              "Käytä täsmälleen tätä Ailoot-reititysvalitsinta."
            ],
            "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": "488fa3b5c38ec32086fbe02c279c8a24cc6c7381a9c0c1801b3195e21c30bdc0",
    "input_html_sha256": "719d822a1043a078955c8a4a60124af4c128ca6aa064676666c6b2c0a85a0cac",
    "private_audit_sha256": "a073ad114e1ec61fb7df49a36e8ff0c1246809a20e1bf35bd44cb593c1ed2bb1",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/fi/baai-bge-large-zh-v1-5/",
    "description": "BAAI:n kiinankielisen tekstinhaun upotusmalli, jota käytetään Ailootissa tekstistä vektoriksi -pyynnöillä.",
    "locale": "fi",
    "md_url": "https://ailoot.ai/models/fi/baai-bge-large-zh-v1-5/index.md",
    "title": "BAAI/bge-large-zh-v1.5 — Ailoot",
    "url": "https://ailoot.ai/models/fi/baai-bge-large-zh-v1-5/"
  },
  "rawModel": {
    "about": "BAAI/bge-large-zh-v1.5 käyttää /v1/embeddings-rajapintaa, jonka kentät ovat model ja input. Anna täsmällinen mallitunnus ja joko yksi ei-tyhjä tekstimerkkijono tai ei-tyhjä tekstimerkkijonojen taulukko. JSON-vastaus sisältää data-alkiot kenttineen index ja embedding sekä model- ja usage-tiedot.\n\nValmistele asiakirjaindeksiä varten yhtenäisiä tekstijaksoja ja säilytä omat asiakirja- ja jaksotunnuksesi lähetettävien merkkijonojen yhteydessä. Yhdistä kukin palautettu vektori sen data[].index-arvon perusteella sen sijaan, että käyttäisit jakson sanamuotoa tunnisteena. Koodaa hakukysely samalla valitulla mallilla, kun sovelluksesi vertaa sitä indeksoituun aineistoon.\n\nRajapinta palauttaa vektorit synkronisesti. Säilytä jokainen data-alkio ja täydelliset usage-tiedot ennen indeksin päivittämistä. Tarkista, että palautetut indeksit kattavat lähetetyn aineiston, ja tallenna sitten alkuperäinen teksti ja mallitunnus vektorien yhteyteen, jotta myöhemmät hakutulokset voidaan jäljittää lähdejaksoihinsa.",
    "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": "Konfiguraation täydet hintatiedot lisätiedoissa."
      }
    ],
    "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": "Pakollinen kenttä, mallivalitsin, tyyppi tai syötteen esitysmuoto on virheellinen.",
                "http_status": 400,
                "recovery": "Tarkista palautetut validointitiedot ennen erillisen pyynnön valmistelua.",
                "type": "invalid_request_error"
              },
              {
                "condition": "Alkuperäinen pyyntö tai tulos on tuntematon tai vaatii tarkistuksen.",
                "http_status": null,
                "recovery": "Säilytä alkuperäiset tunnisteet ja otsakkeet; lue vain tuettuja tila- tai kirjastotietueita. Älä lähetä luontipyyntöä uudelleen.",
                "type": null
              }
            ],
            "lifecycle": {
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/embeddings"
              },
              "mode": "synchronous_json",
              "status": [],
              "unknown": "Säilytä alkuperäinen X-Client-Request-ID, vastaus ja otsakkeet. Tuntematon tulos tai result_pending_check ei oikeuta toiseen luontipyyntöön.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Säilytä koko vastaus ja otsakkeet, alkuperäiset tunnisteet, jokainen todellinen tulos sekä kaikki käyttö- ja veloitustietokentät. Tallenna jokainen yksilöllinen käyttäjälle kuuluva aineisto ja säilytä kaikki siihen viittaavat roolit.",
              "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": "Käytä täsmälleen tätä Ailoot-reititysvalitsinta.",
                "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": [
              "Käytä täsmälleen tätä Ailoot-reititysvalitsinta."
            ],
            "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 muuntaa tekstimerkkijonon tai merkkijonoluettelon numeerisiksi upotusvektoreiksi Ailootin kautta. Säilytä kukin vektori yhdessä syötteensä indeksin kanssa hakua ja asiakirjojen indeksointia varten.",
    "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:n kiinankielisen tekstinhaun upotusmalli, jota käytetään Ailootissa tekstistä vektoriksi -pyynnöillä.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "ffe0d475ecfdc483ac713607a80bdb4e5a5685e0185d2e0cb442b6f09668ccd4",
    "renderer_sha256": "303a59603e2bc29ba8fda690e95fd32cec68de223d92e26054a88babff801dd7"
  },
  "sourceRevision": "8a858791bae35d9b528d594d138acd84dfd67e4750df3d40db8e76ad82c7b5c8"
}
