Scale AI · Schema

ChatCompletionRequest

Data EngineLabelingRLHFGenAI PlatformDonovanDefense AILiDARSensor FusionREST API

Properties

Name Type Description
top_k integer Only sample from the top K options for each subsequent token
frequency_penalty number Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far.
function_call object Deprecated in favor of tool_choice. Controls which function is called by the model.
functions array Deprecated in favor of tools. A list of functions the model may generate JSON inputs for.
logit_bias object Modify the likelihood of specified tokens appearing in the completion. Maps tokens to bias values from -100 to 100.
logprobs boolean Whether to return log probabilities of the output tokens or not.
max_completion_tokens integer An upper bound for the number of tokens that can be generated, including visible output tokens and reasoning tokens.
max_tokens integer Deprecated in favor of max_completion_tokens. The maximum number of tokens to generate.
metadata object Developer-defined tags and values used for filtering completions in the dashboard.
modalities array Output types that you would like the model to generate for this request.
n integer How many chat completion choices to generate for each input message.
parallel_tool_calls boolean Whether to enable parallel function calling during tool use.
prediction object Static predicted output content, such as the content of a text file being regenerated.
presence_penalty number Number between -2.0 and 2.0. Positive values penalize tokens based on whether they appear in the text so far.
reasoning_effort string For o1 models only. Constrains effort on reasoning. Values: low, medium, high.
response_format object An object specifying the format that the model must output.
seed integer If specified, system will attempt to sample deterministically for repeated requests with same seed.
stop object Up to 4 sequences where the API will stop generating further tokens.
store boolean Whether to store the output for use in model distillation or evals products.
stream boolean If true, partial message deltas will be sent as server-sent events.
stream_options object Options for streaming response. Only set this when stream is true.
temperature number What sampling temperature to use. Higher values make output more random, lower more focused.
tool_choice object Controls which tool is called by the model. Values: none, auto, required, or specific tool.
tools array A list of tools the model may call. Currently, only functions are supported. Max 128 functions.
top_logprobs integer Number of most likely tokens to return at each position, with associated log probability.
top_p number Alternative to temperature. Only tokens comprising top_p probability mass are considered.
audio object Parameters for audio output. Required when audio output is requested with modalities: ['audio'].
model string model specified as `model_vendor/model`, for example `openai/gpt-4o`
messages array openai standard message format
View JSON Schema on GitHub

JSON Schema

scale-ai-egp-api-backend-server-api-apps-public-routers-inference-inference-model-models-chat-completion-request-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/scale-ai/json-schema/scale-ai-egp-api-backend-server-api-apps-public-routers-inference-inference-model-models-chat-completion-request-schema.json",
  "title": "ChatCompletionRequest",
  "x-generated": "2026-10-27",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/scale-ai-sgp-v4-openapi.yml#/components/schemas/egp_api_backend__server__api__apps__public__routers__inference__inference_model_models__ChatCompletionRequest",
  "properties": {
    "top_k": {
      "title": "Top K",
      "description": "Only sample from the top K options for each subsequent token",
      "type": "integer"
    },
    "frequency_penalty": {
      "title": "Frequency Penalty",
      "description": "Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far.",
      "type": "number",
      "maximum": 2,
      "minimum": -2
    },
    "function_call": {
      "title": "Function Call",
      "description": "Deprecated in favor of tool_choice. Controls which function is called by the model.",
      "additionalProperties": true,
      "type": "object"
    },
    "functions": {
      "title": "Functions",
      "description": "Deprecated in favor of tools. A list of functions the model may generate JSON inputs for.",
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "type": "array"
    },
    "logit_bias": {
      "title": "Logit Bias",
      "description": "Modify the likelihood of specified tokens appearing in the completion. Maps tokens to bias values from -100 to 100.",
      "additionalProperties": {
        "type": "integer"
      },
      "type": "object"
    },
    "logprobs": {
      "title": "Logprobs",
      "description": "Whether to return log probabilities of the output tokens or not.",
      "type": "boolean"
    },
    "max_completion_tokens": {
      "title": "Max Completion Tokens",
      "description": "An upper bound for the number of tokens that can be generated, including visible output tokens and reasoning tokens.",
      "type": "integer"
    },
    "max_tokens": {
      "title": "Max Tokens",
      "description": "Deprecated in favor of max_completion_tokens. The maximum number of tokens to generate.",
      "type": "integer"
    },
    "metadata": {
      "title": "Metadata",
      "description": "Developer-defined tags and values used for filtering completions in the dashboard.",
      "additionalProperties": {
        "type": "string"
      },
      "type": "object"
    },
    "modalities": {
      "title": "Modalities",
      "description": "Output types that you would like the model to generate for this request.",
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "n": {
      "title": "N",
      "description": "How many chat completion choices to generate for each input message.",
      "type": "integer"
    },
    "parallel_tool_calls": {
      "title": "Parallel Tool Calls",
      "description": "Whether to enable parallel function calling during tool use.",
      "type": "boolean"
    },
    "prediction": {
      "title": "Prediction",
      "description": "Static predicted output content, such as the content of a text file being regenerated.",
      "additionalProperties": true,
      "type": "object"
    },
    "presence_penalty": {
      "title": "Presence Penalty",
      "description": "Number between -2.0 and 2.0. Positive values penalize tokens based on whether they appear in the text so far.",
      "type": "number",
      "maximum": 2,
      "minimum": -2
    },
    "reasoning_effort": {
      "title": "Reasoning Effort",
      "description": "For o1 models only. Constrains effort on reasoning. Values: low, medium, high.",
      "type": "string"
    },
    "response_format": {
      "title": "Response Format",
      "description": "An object specifying the format that the model must output.",
      "additionalProperties": true,
      "type": "object"
    },
    "seed": {
      "title": "Seed",
      "description": "If specified, system will attempt to sample deterministically for repeated requests with same seed.",
      "type": "integer"
    },
    "stop": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        }
      ],
      "title": "Stop",
      "description": "Up to 4 sequences where the API will stop generating further tokens."
    },
    "store": {
      "title": "Store",
      "description": "Whether to store the output for use in model distillation or evals products.",
      "type": "boolean"
    },
    "stream": {
      "title": "Stream",
      "description": "If true, partial message deltas will be sent as server-sent events.",
      "type": "boolean"
    },
    "stream_options": {
      "title": "Stream Options",
      "description": "Options for streaming response. Only set this when stream is true.",
      "additionalProperties": true,
      "type": "object"
    },
    "temperature": {
      "title": "Temperature",
      "description": "What sampling temperature to use. Higher values make output more random, lower more focused.",
      "type": "number",
      "maximum": 2,
      "minimum": 0
    },
    "tool_choice": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "additionalProperties": true,
          "type": "object"
        }
      ],
      "title": "Tool Choice",
      "description": "Controls which tool is called by the model. Values: none, auto, required, or specific tool."
    },
    "tools": {
      "title": "Tools",
      "description": "A list of tools the model may call. Currently, only functions are supported. Max 128 functions.",
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "type": "array"
    },
    "top_logprobs": {
      "title": "Top Logprobs",
      "description": "Number of most likely tokens to return at each position, with associated log probability.",
      "type": "integer",
      "maximum": 20,
      "minimum": 0
    },
    "top_p": {
      "title": "Top P",
      "description": "Alternative to temperature. Only tokens comprising top_p probability mass are considered.",
      "type": "number",
      "maximum": 1,
      "minimum": 0
    },
    "audio": {
      "title": "Audio",
      "description": "Parameters for audio output. Required when audio output is requested with modalities: ['audio'].",
      "additionalProperties": true,
      "type": "object"
    },
    "model": {
      "type": "string",
      "title": "Model",
      "description": "model specified as `model_vendor/model`, for example `openai/gpt-4o`"
    },
    "messages": {
      "items": {
        "additionalProperties": true,
        "type": "object"
      },
      "type": "array",
      "title": "Messages",
      "description": "openai standard message format"
    }
  },
  "additionalProperties": true,
  "type": "object",
  "required": [
    "model",
    "messages"
  ]
}

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