SambaNova Systems Completions API

openapi: 3.2.0
info:
  title: SambaNova cloud Completions API
  description: SambaNova cloud API Specification
  version: 1.2.0
  termsOfService: https://sambanova.ai/cloud-end-user-license-agreement
  contact:
    email: info@sambanova.ai
    name: SambaNova information
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0.html
servers:
- url: https://api.sambanova.ai/v1
security:
- api_key: []
tags:
- name: Completions
paths:
  /completions:
    post:
      operationId: createCompletion
      tags:
      - Completions
      summary: Create completion
      security:
      - api_key: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CompletionRequest'
        description: text prompt and parameters
        required: true
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                oneOf:
                - $ref: '#/components/schemas/CompletionResponse'
                - $ref: '#/components/schemas/CompletionStreamResponse'
        '400':
          description: Bad Request - Missing or invalid parameters
          content:
            text/plain:
              schema:
                type: string
                example: 'Invalid request body:  - missing property ''model''"'
            application/json:
              schema:
                oneOf:
                - $ref: '#/components/schemas/GeneralError'
                - $ref: '#/components/schemas/SimpleError'
              examples:
                missing_model:
                  summary: No model parameter provided
                  value:
                    error:
                      message: you must provide a model parameter
                      type: invalid_request_error
                      param: null
                      code: null
                    request_id: a4fa849e
                invalid_json:
                  summary: Malformed JSON body
                  value:
                    error:
                      code: null
                      message: 'We could not parse the JSON body of your request. (HINT: This likely means you aren''t using your HTTP library correctly. A JSON payload is expected, but what was sent was not valid JSON.)'
                      param: null
                      type: invalid_request_error
                    request_id: 3f7db127
                simple:
                  summary: Simple error (unhandled cases)
                  value:
                    error: Model name is required
        '401':
          description: Unauthorized access
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GeneralError'
              examples:
                invalid_api_key:
                  summary: Invalid API key provided
                  value:
                    error:
                      message: 'Incorrect API key provided: *****. You can find your API key at https://cloud.sambanova.ai/apis.'
                      type: invalid_request_error
                      param: null
                      code: invalid_api_key
                    request_id: d79vcq57os633dverhi0
                missing_api_key:
                  summary: No API key provided
                  value:
                    error:
                      message: 'You didn''t provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY).'
                      type: invalid_request_error
                      param: null
                      code: null
                    request_id: d7a0dct7os633dvesi60
        '404':
          description: Not found - model does not exist or wrong endpoint called
          content:
            application/json:
              schema:
                oneOf:
                - $ref: '#/components/schemas/GeneralError'
                - $ref: '#/components/schemas/SimpleError'
              examples:
                model_not_found:
                  summary: Model does not exist or is not accessible
                  value:
                    error:
                      code: model_not_found
                      message: The model `abc` does not exist or you do not have access to it.
                      param: model
                      type: invalid_request_error
                    request_id: 887a8227
                simple:
                  summary: Simple error (unhandled cases e.g. wrong endpoint)
                  value:
                    error: Not found
        '408':
          description: Request timeout
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/SimpleError'
        '410':
          description: Gone - model is no longer available (deprecated or removed)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/SimpleError'
        '429':
          description: Too Many Requests
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/GeneralError'
        '500':
          description: Internal Server Error. Unexpected issue on server side.
          content:
            text/plain:
              schema:
                type: string
        '503':
          description: Service Temporarily Unavailable
          content:
            text/plain:
              schema:
                type: string
                example: Service Temporarily Unavailable
      x-codeSamples:
      - lang: JavaScript
        source: "import SambaNova from 'sambanova';\n\nconst client = new SambaNova({\n  apiKey: process.env['SAMBANOVA_API_KEY'], // This is the default and can be omitted\n});\n\nconst completion = await client.completions.create({\n  model: 'gpt-oss-120b',\n  prompt:\n    '<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>',\n});\n\nconsole.log(completion);"
      - lang: Python
        source: "import os\nfrom sambanova import SambaNova\n\nclient = SambaNova(\n    api_key=os.environ.get(\"SAMBANOVA_API_KEY\"),  # This is the default and can be omitted\n)\nfor completion in client.completions.create(\n    model=\"gpt-oss-120b\",\n    prompt=\"<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>\",\n):\n  print(completion)"
components:
  schemas:
    Usage:
      title: Usage
      type: object
      description: Usage metrics for the completion, embeddings,transcription or translation request
      additionalProperties: true
      properties:
        acceptance_rate:
          title: Acceptance Rate
          type: number
          description: acceptance rate
        completion_tokens:
          title: Completion Tokens
          type: integer
          description: number of tokens generated in completion
        completion_tokens_after_first_per_sec:
          title: Completion Tokens After First Per Sec
          type: number
          description: completion tokens per second after first token generation
        completion_tokens_after_first_per_sec_first_ten:
          title: Completion Tokens After First Per Sec First Ten
          type: number
          description: completion tokens per second after first token generation first ten
        completion_tokens_after_first_per_sec_graph:
          title: Completion Tokens After First Per Sec Graph
          type: number
          description: completion tokens per second after first token generation
        completion_tokens_per_sec:
          title: Completion Tokens Per Sec
          type: number
          description: completion tokens per second
        end_time:
          title: End Time
          type: number
          description: The Unix timestamp (in seconds) of when the generation finished.
        is_last_response:
          title: Is Last Response
          type: boolean
          description: whether or not is last response, always true for non streaming response
          const: true
        prompt_tokens_details:
          title: Prompt tokens details
          type: object
          description: Extra tokens details
          additionalProperties: true
          properties:
            cached_tokens:
              title: Cached tokens
              description: amount of cached tokens
              type: integer
        prompt_tokens:
          title: Prompt Tokens
          type: integer
          description: number of tokens used in the prompt sent
        start_time:
          title: Start Time
          type: number
          description: The Unix timestamp (in seconds) of when the generation started.
        time_to_first_token:
          title: Time To First Token
          type: number
          description: also TTF, time (in seconds) taken to generate the first token
        time_to_first_token_graph:
          title: Time To First Token Graph
          type: number
          description: Time (in seconds) to first token, adjusted for graph rendering. May differ slightly from time_to_first_token.
        stop_reason:
          title: Stop Reason
          type: string
          description: The reason generation stopped (e.g. "stop", "length"). Mirrors the choice-level finish_reason but reported at the usage level.
          nullable: true
        completion_tokens_details:
          title: Completion Tokens Details
          type: object
          description: Breakdown of completion token consumption.
          additionalProperties: true
          properties:
            reasoning_tokens:
              title: Reasoning Tokens
              type: integer
              description: Number of tokens consumed by the model's internal reasoning process. Only present on reasoning-capable models.
          nullable: true
        total_latency:
          title: Total Latency
          type: number
          description: total time (in seconds) taken to generate the full generation
        total_tokens:
          title: Total Tokens
          type: integer
          description: prompt tokens + completion tokens
        total_tokens_per_sec:
          title: Total Tokens Per Sec
          type: number
          description: tokens per second including prompt and completion
      nullable: true
      examples:
      - completion_tokens: 260
        completion_tokens_after_first_per_sec: 422.79282728043336
        completion_tokens_after_first_per_sec_first_ten: 423.6108998455803
        completion_tokens_after_first_per_sec_graph: 423.6108998455803
        completion_tokens_per_sec: 314.53312043711406
        completion_tokens_details:
          reasoning_tokens: 55
        end_time: 1776189309.02061
        is_last_response: true
        prompt_tokens: 90
        prompt_tokens_details:
          cached_tokens: 0
        start_time: 1776189308.193988
        stop_reason: stop
        time_to_first_token: 0.21402883529663086
        time_to_first_token_graph: 0.2102978229522705
        total_latency: 0.8266220092773438
        total_tokens: 350
        total_tokens_per_sec: 423.40996981919204
      - prompt_tokens: 43
        total_tokens: 393
    LogProbsContent:
      title: Log Probs Content
      additionalProperties: true
      properties:
        bytes:
          title: Bytes
          anyOf:
          - items:
              type: integer
            type: array
          nullable: true
        logprob:
          title: Logprob
          type: number
        token:
          title: Token
          type: string
        top_logprobs:
          $ref: '#/components/schemas/TopLogProbs'
      required:
      - token
      - logprob
      - top_logprobs
      examples:
      - token: ' Hello'
        logprob: -0.00012340000000000002
        bytes:
        - 32
        - 72
        - 101
        - 108
        - 108
        - 111
        top_logprobs:
        - token: ' Hello'
          logprob: -0.00012340000000000002
          bytes:
          - 32
          - 72
          - 101
          - 108
          - 108
          - 111
        - token: ' Hi'
          logprob: -8.243
          bytes:
          - 32
          - 72
          - 105
    CompletionStreamResponse:
      title: Completion Stream Response
      type: object
      description: streamed chunk of a completion response returned by the model
      additionalProperties: true
      properties:
        choices:
          title: Choices
          type: array
          description: A list of chat completion choices.
          items:
            $ref: '#/components/schemas/CompletionChunkChoice'
          minItems: 0
          nullable: true
        created:
          title: Created
          type: number
          description: The Unix timestamp (in seconds) of when the chat completion was created.
        id:
          title: Id
          type: string
          description: A unique identifier for the chat completion.
        model:
          title: Model
          description: The model used for the chat completion.
          type: string
        object:
          title: Object
          type: string
          description: The object type, always `chat.completion.chunk`.
          enum:
          - chat.completion.chunk
          const: chat.completion.chunk
        system_fingerprint:
          title: System fingerprint
          type: string
          description: Backend configuration that the model runs with.
        usage:
          $ref: '#/components/schemas/Usage'
      required:
      - choices
      - created
      - id
      - model
      - object
      - system_fingerprint
      examples:
      - choices:
        - delta:
            role: assistant
            content: ''
          index: 0
          finish_reason: null
          logprobs: null
        created: 1737642515.6076705
        id: 15fcaba4-1c4a-48fc-bc6e-05b55ddfb30b
        model: gpt-oss-120b
        object: chat.completion.chunk
        system_fingerprint: fastcoe
      - choices:
        - delta:
            role: assistant
            content: in
          index: 0
          finish_reason: null
          logprobs: null
        created: 1737642515.6076705
        id: 15fcaba4-1c4a-48fc-bc6e-05b55ddfb30b
        model: gpt-oss-120b
        object: chat.completion.chunk
        system_fingerprint: fastcoe
      - choices:
        - delta:
            content: ''
          index: 0
          finish_reason: length
          logprobs: null
        created: 1737642515.6076705
        id: 15fcaba4-1c4a-48fc-bc6e-05b55ddfb30b
        model: gpt-oss-120b
        object: chat.completion.chunk
        system_fingerprint: fastcoe
      - choices: []
        created: 1737642515.6076705
        id: 15fcaba4-1c4a-48fc-bc6e-05b55ddfb30b
        model: gpt-oss-120b
        object: chat.completion.chunk
        system_fingerprint: fastcoe
        usage:
          acceptance_rate: 3
          completion_tokens: 100
          completion_tokens_after_first_per_sec: 262.2771255106759
          completion_tokens_after_first_per_sec_first_ten: 266.98193514986144
          completion_tokens_after_first_per_sec_graph: 266.98193514986144
          completion_tokens_per_sec: 217.87260449707574
          end_time: 1737642515.9077535
          is_last_response: true
          prompt_tokens: 43
          prompt_tokens_details:
            cached_tokens: 0
          start_time: 1737642515.4458635
          time_to_first_token: 0.0844266414642334
          total_latency: 0.4589838186899821
          total_tokens: 143
          total_tokens_per_sec: 311.55782443081836
    CompletionRequest:
      title: Completion Request
      type: object
      description: completions request object
      additionalProperties: true
      properties:
        model:
          title: Model
          description: The model ID to use (e.g. gpt-oss-120b).  See available [models](https://docs.sambanova.ai/docs/en/models/sambacloud-models)
          anyOf:
          - type: string
          - enum:
            - Meta-Llama-3.3-70B-Instruct
            - Meta-Llama-3.2-1B-Instruct
            - Meta-Llama-3.2-3B-Instruct
            - Llama-3.2-11B-Vision-Instruct
            - Llama-3.2-90B-Vision-Instruct
            - Meta-Llama-3.1-8B-Instruct
            - Meta-Llama-3.1-70B-Instruct
            - Meta-Llama-3.1-405B-Instruct
            - Qwen2.5-Coder-32B-Instruct
            - Qwen2.5-72B-Instruct
            - QwQ-32B-Preview
            - Meta-Llama-Guard-3-8B
            - DeepSeek-R1
            - DeepSeek-R1-0528
            - DeepSeek-V3-0324
            - DeepSeek-V3.1
            - DeepSeek-V3.1-cb
            - DeepSeek-V3.1-Terminus
            - DeepSeek-V3.2
            - DeepSeek-R1-Distill-Llama-70B
            - Llama-4-Maverick-17B-128E-Instruct
            - Llama-4-Scout-17B-16E-Instruct
            - Qwen3-32B
            - Qwen3-235B
            - Llama-3.3-Swallow-70B-Instruct-v0.4
            - gpt-oss-120b
            - ALLaM-7B-Instruct-preview
            - MiniMax-M2.5
            - MiniMax-M2.7
            - gemma-3-12b-it
        prompt:
          title: Prompt
          type: string
          description: Prompt to send to the model.
          examples:
          - '<|begin_of_text|><|start_header_id|>system<|end_header_id|>

            You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>

            create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>

            '
        max_tokens:
          title: Max Tokens
          type: integer
          description: The maximum number of tokens that can be generated in the chat completion.  The total length of input tokens and generated tokens is limited by  the model's context length.
          nullable: true
          example: 2048
        max_completion_tokens:
          title: Max Completion Tokens
          type: integer
          description: The maximum number of tokens that can be generated in the chat completion.  The total length of input tokens and generated tokens is limited by  the model's context length.
          nullable: true
          example: 2048
        temperature:
          title: Temperature
          type: number
          description: What sampling temperature to use, determines the degree of randomness in the response.  between 0 and 2, Higher values like 0.8 will make the output more random,  while lower values like 0.2 will make it more focused and deterministic.  Is recommended altering this, top_p or top_k but not more than one of these.
          minimum: 0
          maximum: 2
          default: 0.7
          nullable: true
          example: 0.7
        top_p:
          title: Top P
          type: number
          description: Cumulative probability for token choices. An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. Is recommended altering this, top_k or temperature but  not more than one of these.
          minimum: 0
          maximum: 1
          nullable: true
          example: 1
        top_k:
          title: Top K
          type: integer
          description: Amount limit of token choices. An alternative to sampling with temperature, the model considers the results of the first K tokens with higher probability.  So 10 means only the first 10 tokens with higher probability are considered. Is recommended altering this, top_p or temperature but not more than one of these.
          minimum: 1
          maximum: 100
          nullable: true
          example: 5
        presence_penalty:
          title: Presence Penalty
          type: number
          description: Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. Not currently implemented; accepted for API compatibility
          maximum: 2
          minimum: -2
          default: 0
          nullable: true
        frequency_penalty:
          title: Frequency Penalty
          type: number
          description: Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. Not currently implemented; accepted for API compatibility
          maximum: 2
          minimum: -2
          default: 0
        do_sample:
          title: do_sample
          type: boolean
          description: If true, sampling is enabled during output generation. If false, deterministic decoding is used.
          nullable: true
        stop:
          title: Stop
          description: Sequences where the API will stop generating tokens. The returned text will not contain the stop sequence.
          oneOf:
          - type: string
            example: '

              '
            nullable: true
          - type: array
            items:
              type: string
              example: '["\n"]'
          nullable: true
        stream:
          title: Stream
          type: boolean
          description: 'If set, partial message deltas will be sent. Tokens will be sent as data-only  [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message.'
          default: false
          nullable: true
        stream_options:
          title: StreamOptions
          type: object
          description: Options for streaming response. Only set this when setting stream as true
          additionalProperties: true
          properties:
            include_usage:
              anyOf:
              - type: boolean
              title: Include Usage
              description: Whether to include the usage metrics in a final chunk or not
              nullable: true
          nullable: true
        logprobs:
          title: Logprobs
          type: boolean
          description: This is not yet supported by our models in completions API. Whether to return log probabilities of the output tokens or not. If true, returns the log  probabilities of each output token returned in the `content` of `message`.
          default: false
          nullable: true
        top_logprobs:
          title: Top Logprobs
          type: integer
          description: This is not yet supported by our models in completions API. An integer between 0 and 20 specifying the number of most likely tokens to return at each token  position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used.
          maximum: 20
          minimum: 0
          nullable: true
        n:
          title: N
          type: integer
          description: 'How many completions to generate for each prompt.

            **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens`.'
          maximum: 1
          minimum: 1
          default: 1
          nullable: true
          example: 1
        logit_bias:
          title: Logit Bias
          type: object
          description: Modify the likelihood of specified tokens appearing in the generation. Accepts a JSON object that maps tokens (specified by their  token ID in the model tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling.  Values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
          nullable: true
        seed:
          title: Seed
          description: 'If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.

            Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.'
          nullable: true
          type: integer
      required:
      - model
      - prompt
      examples:
      - prompt: <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|> create a poem using palindromes<|eot_id|><|start_header_id|>assistant<|end_header_id|>
        max_tokens: 2048
        model: gpt-oss-120b
        stream: false
        temperature: 0.7
        top_p: 1
    CompletionChunkChoice:
      title: Completion Chunk Choice
      type: object
      additionalProperties: true
      properties:
        text:
          title: Text
          type: string
          description: model generation response
        finish_reason:
          title: Finish Reason
          type: string
          description: The reason the model stopped generating tokens.  Will be `stop` if the model hit a natural stop point or a provided stop sequence,  `length` if the maximum number of tokens specified in the request was reached,  `tool_calls` if the model called a tool.
          enum:
          - stop
          - length
          nullable: true
        index:
          title: Index
          type: integer
          description: The index of the choice in the list of choices
        logprobs:
          title: Logprobs
          anyOf:
          - $ref: '#/components/schemas/LogProbs'
          description: currently not supported in completions API, always null will be returned
          nullable: true
      required:
      - text
    CompletionChoice:
      title: Completion Choice
      type: object
      additionalProperties: true
      properties:
        message:
          $ref: '#/components/schemas/CompletionResponseMessage'
        text:
          title: Text
          type: string
          description: model response
        finish_reason:
          title: Finish Reason
          type: string
          description: The reason the model stopped generating tokens.  Will be `stop` if the model hit a natural stop point or a provided stop sequence,  `length` if the maximum number of tokens specified in the request was reached,  `tool_calls` if the model called a tool.
          enum:
          - stop
          - length
          - tool_calls
        index:
          title: Index
          type: integer
          description: The index of the choice in the list of choices
        logprobs:
          title: Logprobs
          anyOf:
          - $ref: '#/components/schemas/LogProbs'
          description: currently not supported in completions API, always null will be returned
          nullable: true
      required:
      - finish_reason
      - index
      - text
    SimpleError:
      title: SimpleError
      type: object
      description: other kind of simple schema errors
      properties:
        error:
          title: error
          type: string
          description: error detail.
          nullable: true
      required:
      - error
    GeneralError:
      title: GeneralError
      type: object
      description: other kind of errors
      properties:
        error:
          type: object
          properties:
            code:
              title: code
              type: string
              description: error code
              nullable: true
            message:
              title: message
              type: string
              description: error message
            param:
              title: param
              type: string
              description: error params
              nullable: true
            type:
              title: type
              type: string
              description: error type
            error_model_output:
              title: Error Model Output
              type: string
              description: Raw model output that could not be parsed. Present on `server_error` responses when the model produced output that failed internal parsing (e.g. a malformed tool call JSON).
              nullable: true
        request_id:
          title: request_id
          type: string
          description: unique request identifier for debugging
          nullable: true
      required:
      - error
    AssistantToolCall:
      title: AssistantToolCall
      type: object
      additionalProperties: true
      properties:
        function:
          $ref: '#/components/schemas/AssistantToolCallFunction'
        id:
          title: Id
          type: string
          description: ID of the tool call.
          nullable: true
        type:
          title: Type
          type: string
          description: type of the tool cal. only `function` is supported.
          enum:
          - function
          const: function
          nullable: true
        index:
          title: index
          description: index of tool call chunk only used when using streaming
          type: integer
          nullable: true
      required:
      - function
    CompletionResponseMessage:
      title: Completion Response Message
      type: object
      description: completion response message object
      additionalProperties: true
      properties:
        role:
          title: Role
          type: string
          description: The role of the messages author
          enum:
          - assistant
          - user
          - system
          - tool
        content:
          title: Content
          type: string
          description: The contents of the assistant message.
          nullable: true
        tool_calls:
          title: Tool Calls
          type: array
          items:
            $ref: '#/components/schemas/AssistantToolCall'
          description: The tool calls generated by the model.
          nullable: true
      required:
      - role
      - content
    LogProbs:
      title: Completion Log Probs
      type: object
      description: Completion Log Probs object
      additionalProperties: true
      properties:
        content:
          $ref: '#/components/schemas/LogProbsContent'
      required:
      - content
      examples:
      - content:
        - token: ' Hello'
          logprob: -0.00012340000000000002
          bytes:
          - 32
          - 72
          - 101
          - 108
          - 108
          - 111
          top_logprobs:
          - token: ' Hello'
            logprob: -0.00012340000000000002
            bytes:
            - 32
            - 72
            - 101
            - 108
            - 108
            - 111
          - token: ' Hi'
            logprob: -8.243
            bytes:
            - 32
            - 72
            - 105
        - token: '!'
          logprob: -0.0023456
          bytes:
          - 33
          top_logprobs:
          - token: '!'
            logprob: -0.0023456
            bytes:
            - 33
          - token: ','
            logprob: -6.712
            bytes:
            - 44
    AssistantToolCallFunction:
      title: AssistantToolCallFunction
      type: object
      description: The tool that the model called.
      additionalProperties: true
      properties:
        name:
          title: Name
          type: string
          description: The name of the function to call.
          nullable: true
        arguments:
          title: Arguments
          type: string
          description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
          nullable: true
    CompletionResponse:
      title: Completion Response
      type: object
      description: ompletion response returned by the model
      properties:
        choices:
          title: Choices
          type: array
          items:
            $ref: '#/components/schemas/CompletionChoice'
          minItems: 1
        created:
          title: Created
          type: number
          description: The Unix timestam

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