> ## Documentation Index > Fetch the complete documentation index at: https://docs.deepinfra.com/llms.txt > Use this file to discover all available pages before exploring further. # Openai Embeddings ## OpenAPI ````yaml https://api.deepinfra.com/openapi.json post /v1/embeddings openapi: 3.1.0 info: title: DeepInfra API description: >- The DeepInfra API provides serverless AI inference, custom model deployments, and GPU rentals. version: 1.0.0 servers: - url: https://api.deepinfra.com security: [] tags: - name: Chat Completions description: OpenAI and Anthropic-compatible chat completion endpoints for LLMs. - name: Text Completions description: OpenAI-compatible text completion endpoints. - name: Embeddings description: Generate text embeddings for search and RAG. - name: Image Generation description: Generate, edit, and create variations of images. - name: Audio description: OpenAI-compatible speech synthesis, transcription, and translation. - name: Text to Speech description: ElevenLabs-compatible TTS endpoints and voice management. - name: Inference description: Native DeepInfra inference API for models and deployments. - name: Dedicated Models description: Deploy and manage private model instances with autoscaling. - name: GPU Rentals description: Rent dedicated GPU containers. - name: Models description: Browse, search, and manage AI models. - name: Files & Batches description: File uploads and batch processing. - name: LoRA Adapters description: Create, manage, and query LoRA adapter models. - name: Agents description: Manage agent-framework instances (OpenClaw and friends). - name: Sandboxes description: Create and manage isolated sandbox environments. - name: Account description: User profile, team management, and rate limits. - name: Authentication description: API tokens, SSH keys, scoped JWTs, and login flows. - name: Billing description: Payment methods, usage tracking, and billing. - name: Logs & Metrics description: Query inference logs, deployment logs, and usage metrics. - name: Utilities description: Feedback submission and CLI version. paths: /v1/embeddings: post: tags: - Embeddings summary: Openai Embeddings operationId: openai_embeddings_v1_embeddings_post parameters: - name: x-deepinfra-source in: header required: false schema: anyOf: - type: string - type: 'null' title: X-Deepinfra-Source - name: user-agent in: header required: false schema: anyOf: - type: string - type: 'null' title: User-Agent - name: xi-api-key in: header required: false schema: anyOf: - type: string - type: 'null' title: Xi-Api-Key - name: x-api-key in: header required: false schema: anyOf: - type: string - type: 'null' title: X-Api-Key requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/OpenAIEmbeddingsIn' responses: '200': description: Successful Response content: application/json: schema: {} '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' security: - HTTPBearer: [] components: schemas: OpenAIEmbeddingsIn: properties: service_tier: anyOf: - $ref: '#/components/schemas/ServiceTier' - type: 'null' description: >- The service tier used for processing the request. 'priority' processes the request with higher priority (premium rate); 'flex' processes it at lower priority for a discount, served only when spare capacity exists and may be retried/timed out under load. Both apply only to models that support the respective tier. model: type: string title: Model description: model name examples: - thenlper/gte-large input: anyOf: - type: string - items: anyOf: - type: string - items: oneOf: - $ref: '#/components/schemas/ChatCompletionContentPartText' - $ref: '#/components/schemas/ChatCompletionContentPartImage' discriminator: propertyName: type mapping: image_url: $ref: >- #/components/schemas/ChatCompletionContentPartImage text: $ref: '#/components/schemas/ChatCompletionContentPartText' type: array type: array maxLength: 1024 title: Input description: >- text or multimodal content to embed. Each item is either a string, or a list of content parts ({"type":"text"} / {"type":"image_url"}) for multimodal embedding models such as nvidia/llama-nemotron-embed-vl-1b-v2. examples: - - I like chocolate soft_required: true input_type: anyOf: - type: string enum: - query - passage - document - type: 'null' title: Input Type description: >- Role hint for asymmetric retrieval models: 'query' embeds a search query, 'passage'/'document' embeds a document. Controls the query:/passage: prefix on VL embedding models; ignored by symmetric models. encoding_format: type: string enum: - float - base64 title: Encoding Format description: format used when encoding default: float dimensions: anyOf: - type: integer minimum: 32 - type: 'null' title: Dimensions description: >- The number of dimensions in the embedding. If not provided, the model's default will be used.If provided bigger than model's default, the embedding will be padded with zeros. examples: - 1536 - 1024 - 768 - 512 - 256 - 128 - 64 type: object required: - model - input title: OpenAIEmbeddingsIn HTTPValidationError: properties: detail: items: $ref: '#/components/schemas/ValidationError' type: array title: Detail type: object title: HTTPValidationError ServiceTier: type: string enum: - default - priority - flex title: ServiceTier ChatCompletionContentPartText: properties: type: type: string const: text title: Type text: type: string title: Text type: object required: - type - text title: ChatCompletionContentPartText ChatCompletionContentPartImage: properties: type: type: string const: image_url title: Type image_url: $ref: '#/components/schemas/ImageURL' type: object required: - type - image_url title: ChatCompletionContentPartImage ValidationError: properties: loc: items: anyOf: - type: string - type: integer type: array title: Location msg: type: string title: Message type: type: string title: Error Type type: object required: - loc - msg - type title: ValidationError ImageURL: properties: url: type: string title: Url detail: type: string enum: - auto - low - high title: Detail default: auto type: object required: - url title: ImageURL securitySchemes: HTTPBearer: type: http scheme: bearer ````