> ## Documentation Index > Fetch the complete documentation index at: https://docs.near.ai/llms.txt > Use this file to discover all available pages before exploring further. # Create text completion > Generate AI model responses for text prompts. OpenAI-compatible endpoint. ## OpenAPI ````yaml /api-reference/openapi.json post /v1/completions openapi: 3.1.0 info: title: NEAR AI Cloud API description: >- NEAR AI Cloud API for private AI model inference and organization administration. contact: name: NEAR AI Team email: support@near.ai license: name: MIT version: 1.0.0 servers: - url: https://cloud-api.near.ai description: NEAR AI Cloud security: - session_token: [] - api_key: [] tags: - name: Chat description: Chat completion endpoints for AI model inference - name: Images description: Image generation endpoints - name: Audio description: Audio transcription endpoints - name: Rerank description: Document reranking endpoints - name: Score description: Text similarity scoring endpoints - name: Privacy description: Privacy classification (PII span detection) endpoints - name: Models description: Public model catalog and information - name: Responses description: >- Stateless response inference (`store: false` only). Raw request/response content, response items, and history are not persisted. Clients must include any prior context in each request. Every successful Responses inference makes exactly one Chat Completions call. Only custom `function` tools are supported. They are client-managed: Cloud returns `function_call` items but never executes them; a later `store: false` request replays the individual call (the raw item from output is accepted) with its matching `function_call_output`, alongside caller-managed message history and the same function tool definitions. The minimal replay path also accepts assistant `message` text parts of type `output_text`, but not reasoning or arbitrary full `response.output` items. Server-executed tools (`web_search`, `web_context_search`, `file_search`, `code_interpreter`, `computer`, and remote `mcp`) and image-generation/editing models are rejected. The separate `POST /mcp` endpoint continues to expose its `web_search` tool independently of Responses; use `/v1/images/*` for image generation/editing. Existing completed-response gateway attestation is preserved best-effort: when the signature write succeeds, `GET /v1/signature/resp_*` retrieves signatures over SHA-256 request/response digests, never raw content. Interrupted streams create no `resp_*` attestation record or legacy disconnect fallback. Conversations, response history, and file input are rejected. - name: Organizations description: Organization management - name: Organization Members description: Organization member and invitation management - name: Workspaces description: Workspace and API key management - name: Users description: User profile and token management - name: Invitations description: Token-based invitation handling - name: Usage description: Usage tracking and billing information - name: Reporting description: Read-only customer usage reporting - name: Billing description: Billing costs endpoint (HuggingFace integration) - name: Staking Farm description: House of Stake farm credit configuration and synchronization - name: Health description: Health check endpoints - name: Attestation description: Attestation and verification endpoints - name: Gateway description: Model gateway integration endpoints - name: Admin description: Administrative endpoints (admin access required) - name: Services description: Public platform services (e.g. web_search pricing) paths: /v1/completions: post: tags: - Chat summary: Create text completion description: >- Generate AI model responses for text prompts. OpenAI-compatible endpoint. operationId: completions requestBody: content: application/json: schema: $ref: '#/components/schemas/CompletionRequest' required: true responses: '200': description: Completion generated successfully content: application/json: schema: $ref: '#/components/schemas/CompletionResponse' '400': description: Invalid request parameters content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '401': description: Invalid or missing API key content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '429': description: >- Rate limited or overloaded — retry with backoff. Check error.type: rate_limit_exceeded or service_overloaded. content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '500': description: Server error content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' security: - api_key: [] components: schemas: CompletionRequest: type: object required: - model - prompt properties: best_of: type: - integer - 'null' format: int64 echo: type: - boolean - 'null' frequency_penalty: type: - number - 'null' format: float logprobs: type: - integer - 'null' format: int64 max_tokens: type: - integer - 'null' format: int64 model: type: string 'n': type: - integer - 'null' format: int64 presence_penalty: type: - number - 'null' format: float prompt: $ref: '#/components/schemas/CompletionPrompt' stop: oneOf: - type: 'null' - $ref: '#/components/schemas/StopSequences' stream: type: - boolean - 'null' temperature: type: - number - 'null' format: float top_p: type: - number - 'null' format: float additionalProperties: {} CompletionResponse: type: object required: - id - object - created - model - choices - usage properties: choices: type: array items: $ref: '#/components/schemas/CompletionChoice' created: type: integer format: int64 id: type: string model: type: string object: type: string usage: $ref: '#/components/schemas/CompletionUsage' ErrorResponse: type: object required: - error properties: error: $ref: '#/components/schemas/ErrorDetail' CompletionPrompt: oneOf: - type: string - type: array items: type: string - type: array items: type: integer format: int64 - type: array items: type: array items: type: integer format: int64 description: >- OpenAI `/v1/completions` `prompt`: a single string, a batch of strings, or token-ID array(s). This endpoint serves only the single-string form; the other shapes still deserialize (so the handler can return a clean 400 rather than a framework deserialization error) and are rejected there. StopSequences: oneOf: - type: string - type: array items: type: string description: 'OpenAI `stop`: either a single string or an array of strings.' CompletionChoice: type: object required: - index - text properties: finish_reason: type: - string - 'null' index: type: integer format: int64 logprobs: {} text: type: string CompletionUsage: type: object description: >- Usage for chat/completions endpoints. Serializes as prompt_tokens, completion_tokens, prompt_tokens_details, completion_tokens_details, total_tokens. required: - prompt_tokens - completion_tokens - total_tokens properties: completion_tokens: type: integer format: int32 completion_tokens_details: oneOf: - type: 'null' - $ref: '#/components/schemas/OutputTokensDetails' prompt_tokens: type: integer format: int32 prompt_tokens_details: oneOf: - type: 'null' - $ref: '#/components/schemas/InputTokensDetails' total_tokens: type: integer format: int32 ErrorDetail: type: object required: - message - type properties: code: type: - string - 'null' message: type: string param: type: - string - 'null' type: type: string OutputTokensDetails: type: object required: - reasoning_tokens properties: reasoning_tokens: type: integer format: int64 InputTokensDetails: type: object required: - cached_tokens properties: cached_tokens: type: integer format: int64 securitySchemes: session_token: type: http scheme: bearer bearerFormat: JWT description: >- JWT access token for user authentication (Authorization: Bearer ). Create via POST /users/me/access_tokens. api_key: type: http scheme: bearer bearerFormat: api_key description: 'API key for programmatic access (Authorization: Bearer sk-)' ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.