Submit an embedding request

openapi: 3.1.0info:  title: ModelGates API  version: 1.0.0paths:  /embeddings:    post:      operationId: create-embeddings      summary: Submit an embedding request      description: Submits an embedding request to the embeddings router      tags:        - subpackage_embeddings      parameters:        - name: Authorization          in: header          description: API key as bearer token in Authorization header          required: true          schema:            type: string      responses:        '200':          description: Embedding response          content:            application/json:              schema:                $ref: '#/components/schemas/Embeddings_createEmbeddings_Response_200'        '400':          description: Bad Request - Invalid request parameters or malformed input          content:            application/json:              schema:                $ref: '#/components/schemas/BadRequestResponse'        '401':          description: Unauthorized - Authentication required or invalid credentials          content:            application/json:              schema:                $ref: '#/components/schemas/UnauthorizedResponse'        '402':          description: Payment Required - Insufficient credits or quota to complete request          content:            application/json:              schema:                $ref: '#/components/schemas/PaymentRequiredResponse'        '404':          description: Not Found - Resource does not exist          content:            application/json:              schema:                $ref: '#/components/schemas/NotFoundResponse'        '429':          description: Too Many Requests - Rate limit exceeded          content:            application/json:              schema:                $ref: '#/components/schemas/TooManyRequestsResponse'        '500':          description: Internal Server Error - Unexpected server error          content:            application/json:              schema:                $ref: '#/components/schemas/InternalServerResponse'        '502':          description: Bad Gateway - Provider/upstream API failure          content:            application/json:              schema:                $ref: '#/components/schemas/BadGatewayResponse'        '503':          description: Service Unavailable - Service temporarily unavailable          content:            application/json:              schema:                $ref: '#/components/schemas/ServiceUnavailableResponse'      requestBody:        description: Embeddings request input        content:          application/json:            schema:              type: object              properties:                dimensions:                  type: integer                  description: The number of dimensions for the output embeddings                encoding_format:                  $ref: >-                    #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaEncodingFormat                  description: The format of the output embeddings                input:                  $ref: >-                    #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInput                  description: Text, token, or multimodal input(s) to embed                input_type:                  type: string                  description: The type of input (e.g. search_query, search_document)                model:                  type: string                  description: The model to use for embeddings                provider:                  $ref: >-                    #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaProvider                user:                  type: string                  description: A unique identifier for the end-user              required:                - input                - modelservers:  - url: https://modelgates.ai/api/v1components:  schemas:    EmbeddingsPostRequestBodyContentApplicationJsonSchemaEncodingFormat:      type: string      enum:        - float        - base64      description: The format of the output embeddings      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaEncodingFormat    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf0Type:      type: string      enum:        - text      title: >-        EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf0Type    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems0:      type: object      properties:        text:          type: string        type:          $ref: >-            #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf0Type      required:        - text        - type      title: >-        EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems0    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf1ImageUrl:      type: object      properties:        url:          type: string      required:        - url      title: >-        EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf1ImageUrl    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf1Type:      type: string      enum:        - image_url      title: >-        EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf1Type    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems1:      type: object      properties:        image_url:          $ref: >-            #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf1ImageUrl        type:          $ref: >-            #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItemsOneOf1Type      required:        - image_url        - type      title: >-        EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems1    MultimodalMedia:      type: object      properties:        data:          type: string        format:          type: string      required:        - data      title: MultimodalMedia    ContentPartInputAudioType:      type: string      enum:        - input_audio      title: ContentPartInputAudioType    ContentPartInputAudio:      type: object      properties:        input_audio:          $ref: '#/components/schemas/MultimodalMedia'        type:          $ref: '#/components/schemas/ContentPartInputAudioType'      required:        - input_audio        - type      title: ContentPartInputAudio    ContentPartInputVideoType:      type: string      enum:        - input_video      title: ContentPartInputVideoType    ContentPartInputVideo:      type: object      properties:        input_video:          $ref: '#/components/schemas/MultimodalMedia'        type:          $ref: '#/components/schemas/ContentPartInputVideoType'      required:        - input_video        - type      title: ContentPartInputVideo    ContentPartInputFileType:      type: string      enum:        - input_file      title: ContentPartInputFileType    ContentPartInputFile:      type: object      properties:        input_file:          $ref: '#/components/schemas/MultimodalMedia'        type:          $ref: '#/components/schemas/ContentPartInputFileType'      required:        - input_file        - type      title: ContentPartInputFile    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems:      oneOf:        - $ref: >-            #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems0        - $ref: >-            #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems1        - $ref: '#/components/schemas/ContentPartInputAudio'        - $ref: '#/components/schemas/ContentPartInputVideo'        - $ref: '#/components/schemas/ContentPartInputFile'      title: >-        EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4Items:      type: object      properties:        content:          type: array          items:            $ref: >-              #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4ItemsContentItems      required:        - content      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4Items    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInput4:      type: array      items:        $ref: >-          #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInputOneOf4Items      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaInput4    EmbeddingsPostRequestBodyContentApplicationJsonSchemaInput:      oneOf:        - type: string        - type: array          items:            type: string        - type: array          items:            type: number            format: double        - type: array          items:            type: array            items:              type: number              format: double        - $ref: >-            #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaInput4      description: Text, token, or multimodal input(s) to embed      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaInput    EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderDataCollection:      type: string      enum:        - deny        - allow      description: >-        Data collection setting. If no available model provider meets the        requirement, your request will return an error.         - allow: (default) allow providers which store user data non-transiently        and may train on it         - deny: use only providers which do not collect user data.      title: >-        EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderDataCollection    ProviderName:      type: string      enum:        - AkashML        - AI21        - AionLabs        - Alibaba        - Ambient        - Baidu        - Amazon Bedrock        - Amazon Nova        - Anthropic        - Arcee AI        - AtlasCloud        - Avian        - Azure        - BaseTen        - BytePlus        - Black Forest Labs        - Cerebras        - Chutes        - Cirrascale        - Clarifai        - Cloudflare        - Cohere        - Crucible        - Crusoe        - DeepInfra        - DeepSeek        - DekaLLM        - Featherless        - Fireworks        - Friendli        - GMICloud        - Google        - Google AI Studio        - Groq        - Hyperbolic        - Inception        - Inceptron        - InferenceNet        - Ionstream        - Infermatic        - Io Net        - Inflection        - Liquid        - Mara        - Mancer 2        - Minimax        - ModelRun        - Mistral        - Modular        - Moonshot AI        - Morph        - NCompass        - Nebius        - Nex AGI        - NextBit        - Novita        - Nvidia        - OpenAI        - OpenInference        - Parasail        - Poolside        - Perceptron        - Perplexity        - Phala        - Recraft        - Reka        - Relace        - SambaNova        - Seed        - SiliconFlow        - Sourceful        - StepFun        - Stealth        - StreamLake        - Switchpoint        - Together        - Upstage        - Venice        - WandB        - Xiaomi        - xAI        - Z.AI        - FakeProvider      title: ProviderName    EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderIgnoreItems:      oneOf:        - $ref: '#/components/schemas/ProviderName'        - type: string      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderIgnoreItems    BigNumberUnion:      type: string      description: Price per million prompt tokens      title: BigNumberUnion    EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderMaxPrice:      type: object      properties:        audio:          $ref: '#/components/schemas/BigNumberUnion'        completion:          $ref: '#/components/schemas/BigNumberUnion'        image:          $ref: '#/components/schemas/BigNumberUnion'        prompt:          $ref: '#/components/schemas/BigNumberUnion'        request:          $ref: '#/components/schemas/BigNumberUnion'      description: >-        The object specifying the maximum price you want to pay for this        request. USD price per million tokens, for prompt and completion.      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderMaxPrice    EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderOnlyItems:      oneOf:        - $ref: '#/components/schemas/ProviderName'        - type: string      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderOnlyItems    EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderOrderItems:      oneOf:        - $ref: '#/components/schemas/ProviderName'        - type: string      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderOrderItems    PercentileLatencyCutoffs:      type: object      properties:        p50:          type:            - number            - 'null'          format: double          description: Maximum p50 latency (seconds)        p75:          type:            - number            - 'null'          format: double          description: Maximum p75 latency (seconds)        p90:          type:            - number            - 'null'          format: double          description: Maximum p90 latency (seconds)        p99:          type:            - number            - 'null'          format: double          description: Maximum p99 latency (seconds)      description: >-        Percentile-based latency cutoffs. All specified cutoffs must be met for        an endpoint to be preferred.      title: PercentileLatencyCutoffs    PreferredMaxLatency:      oneOf:        - type: number          format: double        - $ref: '#/components/schemas/PercentileLatencyCutoffs'        - description: Any type      description: >-        Preferred maximum latency (in seconds). Can be a number (applies to p50)        or an object with percentile-specific cutoffs. Endpoints above the        threshold(s) may still be used, but are deprioritized in routing. When        using fallback models, this may cause a fallback model to be used        instead of the primary model if it meets the threshold.      title: PreferredMaxLatency    PercentileThroughputCutoffs:      type: object      properties:        p50:          type:            - number            - 'null'          format: double          description: Minimum p50 throughput (tokens/sec)        p75:          type:            - number            - 'null'          format: double          description: Minimum p75 throughput (tokens/sec)        p90:          type:            - number            - 'null'          format: double          description: Minimum p90 throughput (tokens/sec)        p99:          type:            - number            - 'null'          format: double          description: Minimum p99 throughput (tokens/sec)      description: >-        Percentile-based throughput cutoffs. All specified cutoffs must be met        for an endpoint to be preferred.      title: PercentileThroughputCutoffs    PreferredMinThroughput:      oneOf:        - type: number          format: double        - $ref: '#/components/schemas/PercentileThroughputCutoffs'        - description: Any type      description: >-        Preferred minimum throughput (in tokens per second). Can be a number        (applies to p50) or an object with percentile-specific cutoffs.        Endpoints below the threshold(s) may still be used, but are        deprioritized in routing. When using fallback models, this may cause a        fallback model to be used instead of the primary model if it meets the        threshold.      title: PreferredMinThroughput    Quantization:      type: string      enum:        - int4        - int8        - fp4        - fp6        - fp8        - fp16        - bf16        - fp32        - unknown      title: Quantization    ProviderSort:      type: string      enum:        - price        - throughput        - latency        - exacto      description: The provider sorting strategy (price, throughput, latency)      title: ProviderSort    ProviderSortConfigBy:      type: string      enum:        - price        - throughput        - latency        - exacto      description: The provider sorting strategy (price, throughput, latency)      title: ProviderSortConfigBy    ProviderSortConfigPartition:      type: string      enum:        - model        - none      description: >-        Partitioning strategy for sorting: "model" (default) groups endpoints by        model before sorting (fallback models remain fallbacks), "none" sorts        all endpoints together regardless of model.      title: ProviderSortConfigPartition    ProviderSortConfig:      type: object      properties:        by:          oneOf:            - $ref: '#/components/schemas/ProviderSortConfigBy'            - type: 'null'          description: The provider sorting strategy (price, throughput, latency)        partition:          oneOf:            - $ref: '#/components/schemas/ProviderSortConfigPartition'            - type: 'null'          description: >-            Partitioning strategy for sorting: "model" (default) groups            endpoints by model before sorting (fallback models remain            fallbacks), "none" sorts all endpoints together regardless of model.      description: The provider sorting strategy (price, throughput, latency)      title: ProviderSortConfig    EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderSort:      oneOf:        - $ref: '#/components/schemas/ProviderSort'        - $ref: '#/components/schemas/ProviderSortConfig'        - description: Any type      description: >-        The sorting strategy to use for this request, if "order" is not        specified. When set, no load balancing is performed.      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderSort    EmbeddingsPostRequestBodyContentApplicationJsonSchemaProvider:      type: object      properties:        allow_fallbacks:          type:            - boolean            - 'null'          description: >            Whether to allow backup providers to serve requests             - true: (default) when the primary provider (or your custom            providers in "order") is unavailable, use the next best provider.             - false: use only the primary/custom provider, and return the            upstream error if it's unavailable.        data_collection:          oneOf:            - $ref: >-                #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderDataCollection            - type: 'null'          description: >-            Data collection setting. If no available model provider meets the            requirement, your request will return an error.             - allow: (default) allow providers which store user data            non-transiently and may train on it             - deny: use only providers which do not collect user data.        enforce_distillable_text:          type:            - boolean            - 'null'          description: >-            Whether to restrict routing to only models that allow text            distillation. When true, only models where the author has allowed            distillation will be used.        ignore:          type:            - array            - 'null'          items:            $ref: >-              #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderIgnoreItems          description: >-            List of provider slugs to ignore. If provided, this list is merged            with your account-wide ignored provider settings for this request.        max_price:          $ref: >-            #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderMaxPrice          description: >-            The object specifying the maximum price you want to pay for this            request. USD price per million tokens, for prompt and completion.        only:          type:            - array            - 'null'          items:            $ref: >-              #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderOnlyItems          description: >-            List of provider slugs to allow. If provided, this list is merged            with your account-wide allowed provider settings for this request.        order:          type:            - array            - 'null'          items:            $ref: >-              #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderOrderItems          description: >-            An ordered list of provider slugs. The router will attempt to use            the first provider in the subset of this list that supports your            requested model, and fall back to the next if it is unavailable. If            no providers are available, the request will fail with an error            message.        preferred_max_latency:          $ref: '#/components/schemas/PreferredMaxLatency'        preferred_min_throughput:          $ref: '#/components/schemas/PreferredMinThroughput'        quantizations:          type:            - array            - 'null'          items:            $ref: '#/components/schemas/Quantization'          description: A list of quantization levels to filter the provider by.        require_parameters:          type:            - boolean            - 'null'          description: >-            Whether to filter providers to only those that support the            parameters you've provided. If this setting is omitted or set to            false, then providers will receive only the parameters they support,            and ignore the rest.        sort:          $ref: >-            #/components/schemas/EmbeddingsPostRequestBodyContentApplicationJsonSchemaProviderSort          description: >-            The sorting strategy to use for this request, if "order" is not            specified. When set, no load balancing is performed.        zdr:          type:            - boolean            - 'null'          description: >-            Whether to restrict routing to only ZDR (Zero Data Retention)            endpoints. When true, only endpoints that do not retain prompts will            be used.      description: Provider routing preferences for the request.      title: EmbeddingsPostRequestBodyContentApplicationJsonSchemaProvider    EmbeddingsPostResponsesContentApplicationJsonSchemaDataItemsEmbedding:      oneOf:        - type: array          items:            type: number            format: double        - type: string      description: Embedding vector as an array of floats or a base64 string      title: EmbeddingsPostResponsesContentApplicationJsonSchemaDataItemsEmbedding    EmbeddingsPostResponsesContentApplicationJsonSchemaDataItemsObject:      type: string      enum:        - embedding      title: EmbeddingsPostResponsesContentApplicationJsonSchemaDataItemsObject    EmbeddingsPostResponsesContentApplicationJsonSchemaDataItems:      type: object      properties:        embedding:          $ref: >-            #/components/schemas/EmbeddingsPostResponsesContentApplicationJsonSchemaDataItemsEmbedding          description: Embedding vector as an array of floats or a base64 string        index:          type: integer          description: Index of the embedding in the input list        object:          $ref: >-            #/components/schemas/EmbeddingsPostResponsesContentApplicationJsonSchemaDataItemsObject      required:        - embedding        - object      description: A single embedding object      title: EmbeddingsPostResponsesContentApplicationJsonSchemaDataItems    EmbeddingsPostResponsesContentApplicationJsonSchemaObject:      type: string      enum:        - list      title: EmbeddingsPostResponsesContentApplicationJsonSchemaObject    EmbeddingsPostResponsesContentApplicationJsonSchemaUsagePromptTokensDetails:      type: object      properties:        audio_tokens:          type: integer          description: Number of audio tokens in the input        file_tokens:          type: integer          description: Number of file/document tokens in the input        image_tokens:          type: integer          description: Number of image tokens in the input        text_tokens:          type: integer          description: Number of text tokens in the input        video_tokens:          type: integer          description: Number of video tokens in the input      description: >-        Per-modality token breakdown. Only present when the input contains 2+        modalities (e.g. text + image) and the upstream provider returns        modality-level usage data. Only non-zero modality counts are included.      title: >-        EmbeddingsPostResponsesContentApplicationJsonSchemaUsagePromptTokensDetails    EmbeddingsPostResponsesContentApplicationJsonSchemaUsage:      type: object      properties:        cost:          type: number          format: double          description: Cost of the request in credits        prompt_tokens:          type: integer          description: Number of tokens in the input        prompt_tokens_details:          $ref: >-            #/components/schemas/EmbeddingsPostResponsesContentApplicationJsonSchemaUsagePromptTokensDetails          description: >-            Per-modality token breakdown. Only present when the input contains            2+ modalities (e.g. text + image) and the upstream provider returns            modality-level usage data. Only non-zero modality counts are            included.        total_tokens:          type: integer          description: Total number of tokens used      required:        - prompt_tokens        - total_tokens      description: Token usage statistics      title: EmbeddingsPostResponsesContentApplicationJsonSchemaUsage    Embeddings_createEmbeddings_Response_200:      type: object      properties:        data:          type: array          items:            $ref: >-              #/components/schemas/EmbeddingsPostResponsesContentApplicationJsonSchemaDataItems          description: List of embedding objects        id:          type: string          description: Unique identifier for the embeddings response        model:          type: string          description: The model used for embeddings        object:          $ref: >-            #/components/schemas/EmbeddingsPostResponsesContentApplicationJsonSchemaObject        usage:          $ref: >-            #/components/schemas/EmbeddingsPostResponsesContentApplicationJsonSchemaUsage          description: Token usage statistics      required:        - data        - model        - object      description: Embeddings response containing embedding vectors      title: Embeddings_createEmbeddings_Response_200    BadRequestResponseErrorData:      type: object      properties:        code:          type: integer        message:          type: string        metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type      required:        - code        - message      description: Error data for BadRequestResponse      title: BadRequestResponseErrorData    BadRequestResponse:      type: object      properties:        error:          $ref: '#/components/schemas/BadRequestResponseErrorData'        modelgates_metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type        user_id:          type:            - string            - 'null'      required:        - error      description: Bad Request - Invalid request parameters or malformed input      title: BadRequestResponse    UnauthorizedResponseErrorData:      type: object      properties:        code:          type: integer        message:          type: string        metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type      required:        - code        - message      description: Error data for UnauthorizedResponse      title: UnauthorizedResponseErrorData    UnauthorizedResponse:      type: object      properties:        error:          $ref: '#/components/schemas/UnauthorizedResponseErrorData'        modelgates_metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type        user_id:          type:            - string            - 'null'      required:        - error      description: Unauthorized - Authentication required or invalid credentials      title: UnauthorizedResponse    PaymentRequiredResponseErrorData:      type: object      properties:        code:          type: integer        message:          type: string        metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type      required:        - code        - message      description: Error data for PaymentRequiredResponse      title: PaymentRequiredResponseErrorData    PaymentRequiredResponse:      type: object      properties:        error:          $ref: '#/components/schemas/PaymentRequiredResponseErrorData'        modelgates_metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type        user_id:          type:            - string            - 'null'      required:        - error      description: Payment Required - Insufficient credits or quota to complete request      title: PaymentRequiredResponse    NotFoundResponseErrorData:      type: object      properties:        code:          type: integer        message:          type: string        metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type      required:        - code        - message      description: Error data for NotFoundResponse      title: NotFoundResponseErrorData    NotFoundResponse:      type: object      properties:        error:          $ref: '#/components/schemas/NotFoundResponseErrorData'        modelgates_metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type        user_id:          type:            - string            - 'null'      required:        - error      description: Not Found - Resource does not exist      title: NotFoundResponse    TooManyRequestsResponseErrorData:      type: object      properties:        code:          type: integer        message:          type: string        metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type      required:        - code        - message      description: Error data for TooManyRequestsResponse      title: TooManyRequestsResponseErrorData    TooManyRequestsResponse:      type: object      properties:        error:          $ref: '#/components/schemas/TooManyRequestsResponseErrorData'        modelgates_metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type        user_id:          type:            - string            - 'null'      required:        - error      description: Too Many Requests - Rate limit exceeded      title: TooManyRequestsResponse    InternalServerResponseErrorData:      type: object      properties:        code:          type: integer        message:          type: string        metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type      required:        - code        - message      description: Error data for InternalServerResponse      title: InternalServerResponseErrorData    InternalServerResponse:      type: object      properties:        error:          $ref: '#/components/schemas/InternalServerResponseErrorData'        modelgates_metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type        user_id:          type:            - string            - 'null'      required:        - error      description: Internal Server Error - Unexpected server error      title: InternalServerResponse    BadGatewayResponseErrorData:      type: object      properties:        code:          type: integer        message:          type: string        metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type      required:        - code        - message      description: Error data for BadGatewayResponse      title: BadGatewayResponseErrorData    BadGatewayResponse:      type: object      properties:        error:          $ref: '#/components/schemas/BadGatewayResponseErrorData'        modelgates_metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type        user_id:          type:            - string            - 'null'      required:        - error      description: Bad Gateway - Provider/upstream API failure      title: BadGatewayResponse    ServiceUnavailableResponseErrorData:      type: object      properties:        code:          type: integer        message:          type: string        metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type      required:        - code        - message      description: Error data for ServiceUnavailableResponse      title: ServiceUnavailableResponseErrorData    ServiceUnavailableResponse:      type: object      properties:        error:          $ref: '#/components/schemas/ServiceUnavailableResponseErrorData'        modelgates_metadata:          type:            - object            - 'null'          additionalProperties:            description: Any type        user_id:          type:            - string            - 'null'      required:        - error      description: Service Unavailable - Service temporarily unavailable      title: ServiceUnavailableResponse  securitySchemes:    apiKey:      type: http      scheme: bearer      description: API key as bearer token in Authorization header

import requests url = "https://modelgates.ai/api/v1/embeddings" payload = {    "input": "The quick brown fox jumps over the lazy dog",    "model": "openai/text-embedding-3-small",    "dimensions": 1536}headers = {    "Authorization": "Bearer <token>",    "Content-Type": "application/json"} response = requests.post(url, json=payload, headers=headers) print(response.json())

const url = 'https://modelgates.ai/api/v1/embeddings';const options = {  method: 'POST',  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},  body: '{"input":"The quick brown fox jumps over the lazy dog","model":"openai/text-embedding-3-small","dimensions":1536}'}; try {  const response = await fetch(url, options);  const data = await response.json();  console.log(data);} catch (error) {  console.error(error);}

package main import (	"fmt"	"strings"	"net/http"	"io") func main() { 	url := "https://modelgates.ai/api/v1/embeddings" 	payload := strings.NewReader("{\n  \"input\": \"The quick brown fox jumps over the lazy dog\",\n  \"model\": \"openai/text-embedding-3-small\",\n  \"dimensions\": 1536\n}") 	req, _ := http.NewRequest("POST", url, payload) 	req.Header.Add("Authorization", "Bearer <token>")	req.Header.Add("Content-Type", "application/json") 	res, _ := http.DefaultClient.Do(req) 	defer res.Body.Close()	body, _ := io.ReadAll(res.Body) 	fmt.Println(res)	fmt.Println(string(body)) }

require 'uri'require 'net/http' url = URI("https://modelgates.ai/api/v1/embeddings") http = Net::HTTP.new(url.host, url.port)http.use_ssl = true request = Net::HTTP::Post.new(url)request["Authorization"] = 'Bearer <token>'request["Content-Type"] = 'application/json'request.body = "{\n  \"input\": \"The quick brown fox jumps over the lazy dog\",\n  \"model\": \"openai/text-embedding-3-small\",\n  \"dimensions\": 1536\n}" response = http.request(request)puts response.read_body

import com.mashape.unirest.http.HttpResponse;import com.mashape.unirest.http.Unirest; HttpResponse<String> response = Unirest.post("https://modelgates.ai/api/v1/embeddings")  .header("Authorization", "Bearer <token>")  .header("Content-Type", "application/json")  .body("{\n  \"input\": \"The quick brown fox jumps over the lazy dog\",\n  \"model\": \"openai/text-embedding-3-small\",\n  \"dimensions\": 1536\n}")  .asString();

<?phprequire_once('vendor/autoload.php'); $client = new \GuzzleHttp\Client(); $response = $client->request('POST', 'https://modelgates.ai/api/v1/embeddings', [  'body' => '{  "input": "The quick brown fox jumps over the lazy dog",  "model": "openai/text-embedding-3-small",  "dimensions": 1536}',  'headers' => [    'Authorization' => 'Bearer <token>',    'Content-Type' => 'application/json',  ],]); echo $response->getBody();

using RestSharp; var client = new RestClient("https://modelgates.ai/api/v1/embeddings");var request = new RestRequest(Method.POST);request.AddHeader("Authorization", "Bearer <token>");request.AddHeader("Content-Type", "application/json");request.AddParameter("application/json", "{\n  \"input\": \"The quick brown fox jumps over the lazy dog\",\n  \"model\": \"openai/text-embedding-3-small\",\n  \"dimensions\": 1536\n}", ParameterType.RequestBody);IRestResponse response = client.Execute(request);

import Foundation let headers = [  "Authorization": "Bearer <token>",  "Content-Type": "application/json"]let parameters = [  "input": "The quick brown fox jumps over the lazy dog",  "model": "openai/text-embedding-3-small",  "dimensions": 1536] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://modelgates.ai/api/v1/embeddings")! as URL,                                        cachePolicy: .useProtocolCachePolicy,                                    timeoutInterval: 10.0)request.httpMethod = "POST"request.allHTTPHeaderFields = headersrequest.httpBody = postData as Data let session = URLSession.sharedlet dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in  if (error != nil) {    print(error as Any)  } else {    let httpResponse = response as? HTTPURLResponse    print(httpResponse)  }}) dataTask.resume()