> ## Documentation Index > Fetch the complete documentation index at: https://docs.prisme.ai/llms.txt > Use this file to discover all available pages before exploring further. # Create text embeddings > OpenAI-compatible embeddings endpoint. Accepts a single string or an array of strings as `input` and routes through the gateway's provider layer. Returns the standard OpenAI `EmbeddingResponse`. When the input is a single string, the response also exposes a flat `embedding` field (Prisme.ai convenience extension) in addition to `data[0].embedding`. `analytics_context` is a Prisme.ai extension used to enrich analytics events. Governance overlays may reject the call (forwarded as 403 / 429 with the upstream `result.status`, e.g. `MODEL_NOT_ALLOWED`, `INVALID_DIMENSIONS`). ## OpenAPI ````yaml /api-reference/llm-gateway/swagger.yml post /v1/embeddings openapi: 3.0.3 info: version: 1.0.0 title: LLM Gateway API description: | Public REST API for the Prisme.ai LLM Gateway - OpenAI-compatible chat completions and embeddings, plus a managed model catalogue with governance overrides per organization. The gateway abstracts multi-provider LLM access (OpenAI, Azure OpenAI, Anthropic, Google Vertex, AWS Bedrock, OpenAI-compatible providers) behind an OpenAI-compatible request/response shape. It enforces per-tenant governance (allowed models, default models, quotas) and emits analytics events (`analytics.llm.completion`) usable for cost and carbon reporting. This spec documents only the public REST surface (endpoints exposed via Prisme.ai workspace webhooks). Internal helpers (private automations prefixed with `_`) and load-test mocks are not part of the public contract. contact: name: Prisme.ai url: https://prisme.ai servers: - url: https://{host}/v2/workspaces/slug:llm-gateway/webhooks description: Prisme.ai workspace webhooks variables: host: default: api.studio.prisme.ai description: API host (override for self-hosted or sandbox) security: - BearerAuth: [] - OrgApiKeyAuth: [] tags: - name: Completions description: OpenAI-compatible chat completions (with optional SSE streaming). - name: Embeddings description: OpenAI-compatible text embeddings. - name: Models description: Model catalogue (CRUD + bulk replace + governance-aware listing). - name: Defaults description: >- Resolved default models for completions / embeddings / image generation / file parsing. - name: Test description: Smoke-test reachability of a model through the gateway. paths: /v1/embeddings: post: tags: - Embeddings summary: Create text embeddings description: | OpenAI-compatible embeddings endpoint. Accepts a single string or an array of strings as `input` and routes through the gateway's provider layer. Returns the standard OpenAI `EmbeddingResponse`. When the input is a single string, the response also exposes a flat `embedding` field (Prisme.ai convenience extension) in addition to `data[0].embedding`. `analytics_context` is a Prisme.ai extension used to enrich analytics events. Governance overlays may reject the call (forwarded as 403 / 429 with the upstream `result.status`, e.g. `MODEL_NOT_ALLOWED`, `INVALID_DIMENSIONS`). operationId: createEmbedding requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/EmbeddingRequest' responses: '200': description: Successful embedding response. content: application/json: schema: $ref: '#/components/schemas/EmbeddingResponse' '400': description: | Invalid request. Includes governance/provider rejections forwarded from the inner worker (e.g. `INVALID_DIMENSIONS`). content: application/json: schema: $ref: '#/components/schemas/Error' '401': description: Missing or invalid authentication. content: application/json: schema: $ref: '#/components/schemas/Error' '403': description: Model not allowed for this caller (governance overlay). content: application/json: schema: $ref: '#/components/schemas/Error' '429': description: Governance quota exceeded. content: application/json: schema: $ref: '#/components/schemas/Error' components: schemas: EmbeddingRequest: type: object required: - model - input properties: model: type: string maxLength: 256 description: Embedding model id from the catalogue. input: description: Either a single string or an array of strings to embed. oneOf: - type: string - type: array items: type: string dimensions: description: | Requested output dimensionality. Must be one of the model's `supported_dimensions` when set; otherwise rejected with `INVALID_DIMENSIONS`. analytics_context: type: object description: '**Prisme.ai extension.** Caller-supplied analytics context.' additionalProperties: true EmbeddingResponse: type: object description: | OpenAI-compatible embeddings response. When `input` was a single string, the response also exposes a flat root-level `embedding` field (Prisme.ai convenience extension) in addition to `data[0].embedding`. required: - object - model - data properties: object: type: string enum: - list model: type: string data: type: array items: $ref: '#/components/schemas/Embedding' usage: type: object properties: prompt_tokens: type: integer total_tokens: type: integer embedding: type: array description: | **Prisme.ai extension.** Convenience copy of `data[0].embedding` present only when the request `input` was a single string. items: type: number format: float Error: type: object required: - error description: | Standard error envelope. `error` carries either a stable PascalCase identifier or a free-text label (legacy endpoints) - `code` is the canonical machine-readable identifier going forward. properties: error: type: string description: Stable PascalCase identifier or short error label. message: type: string description: Human-readable error message. code: type: string description: | Machine-readable error code. Observed values include `RATE_LIMITED`, `MODEL_NOT_ALLOWED`, `MODEL_NOT_FOUND`, `MODEL_EXISTS`, `MISSING_MODEL_ID`, `MISSING_TYPE`, `INVALID_BODY`, `INVALID_ITEMS`, `INVALID_DIMENSIONS`, `PAYLOAD_TOO_LARGE`, `METHOD_NOT_ALLOWED`, `PROVIDER_ERROR`, `PROVIDER_NO_RESPONSE`. details: description: Optional structured context (e.g. list of invalid items). additionalProperties: true status: type: integer description: HTTP status mirror, when present. retryAfter: type: integer description: Seconds to wait before retrying (rate-limit responses). provider: type: string description: Upstream provider name (provider-error responses). model: type: string description: Model id involved in the error (provider-error responses). provider_error_type: type: string description: Upstream provider's own error class name. Embedding: type: object required: - object - index - embedding properties: object: type: string enum: - embedding index: type: integer embedding: type: array items: type: number format: float securitySchemes: BearerAuth: type: http scheme: bearer bearerFormat: JWT description: | User-bound credential carrying an identity: either a session JWT or a user access token (`at:*`) generated from the user settings UI. Send as `Authorization: Bearer `. Org API keys (`iak_*`) are **not** accepted here - they carry no user identity. Use the `x-prismeai-api-key` header instead (see `OrgApiKeyAuth`). OrgApiKeyAuth: type: apiKey in: header name: x-prismeai-api-key description: | Organization API key (`iak_{orgSlug}_{uuid}`). Unlike `Authorization: Bearer`, this credential is **not** tied to a user identity - it is bound to the org and its effective access is defined by the scopes / permission rules attached to it (it can be restricted to a single project, or kept broader). Send as `x-prismeai-api-key: iak_...`. ````