Qubrid AI · Schema
Qubrid AI Inference Entities
Schema definitions for Qubrid AI Inference API request and response payloads, including chat completions, model listings, and embeddings.
Artificial IntelligenceCloud ComputingGPUInferenceLarge Language ModelsMachine-LearningNVIDIAServerless
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://platform.qubrid.com/schemas/qubrid-ai/inference.json",
"title": "Qubrid AI Inference Entities",
"description": "Schema definitions for Qubrid AI Inference API request and response payloads, including chat completions, model listings, and embeddings.",
"type": "object",
"$defs": {
"ChatCompletionRequest": {
"type": "object",
"title": "Chat Completion Request",
"description": "A request to generate a chat completion using an open-source model on the Qubrid AI platform.",
"required": ["model", "messages"],
"properties": {
"model": {
"type": "string",
"description": "The identifier of the model to use for generating the chat completion, such as deepseek-ai/DeepSeek-R1-Distill-Llama-70B or Qwen/Qwen3.5-27B."
},
"messages": {
"type": "array",
"description": "A list of messages comprising the conversation so far.",
"minItems": 1,
"items": {
"$ref": "#/$defs/ChatMessage"
}
},
"temperature": {
"type": "number",
"description": "Sampling temperature between 0 and 2 controlling output randomness.",
"minimum": 0,
"maximum": 2,
"default": 1.0
},
"top_p": {
"type": "number",
"description": "Nucleus sampling parameter controlling token probability mass considered.",
"minimum": 0,
"maximum": 1,
"default": 1.0
},
"n": {
"type": "integer",
"description": "Number of chat completion choices to generate.",
"minimum": 1,
"default": 1
},
"max_tokens": {
"type": "integer",
"description": "Maximum number of tokens to generate in the completion.",
"minimum": 1
},
"stream": {
"type": "boolean",
"description": "Whether to stream partial message deltas as server-sent events.",
"default": false
},
"stop": {
"oneOf": [
{ "type": "string" },
{
"type": "array",
"items": { "type": "string" },
"maxItems": 4
}
],
"description": "Up to 4 sequences where the API will stop generating further tokens."
},
"presence_penalty": {
"type": "number",
"description": "Penalty for new tokens based on presence in text so far.",
"minimum": -2,
"maximum": 2,
"default": 0
},
"frequency_penalty": {
"type": "number",
"description": "Penalty for new tokens based on frequency in text so far.",
"minimum": -2,
"maximum": 2,
"default": 0
}
}
},
"ChatMessage": {
"type": "object",
"title": "Chat Message",
"description": "A single message in a chat conversation with a role and content.",
"required": ["role", "content"],
"properties": {
"role": {
"type": "string",
"enum": ["system", "user", "assistant"],
"description": "The role of the message author."
},
"content": {
"oneOf": [
{ "type": "string" },
{
"type": "array",
"items": { "$ref": "#/$defs/ContentPart" }
}
],
"description": "The content of the message, either a text string or an array of multimodal content parts."
}
}
},
"ContentPart": {
"type": "object",
"title": "Content Part",
"description": "A content part for multimodal messages supporting text and image inputs.",
"required": ["type"],
"properties": {
"type": {
"type": "string",
"enum": ["text", "image_url"],
"description": "The type of content part."
},
"text": {
"type": "string",
"description": "The text content when type is text."
},
"image_url": {
"type": "object",
"description": "The image URL object when type is image_url.",
"properties": {
"url": {
"type": "string",
"format": "uri",
"description": "The URL of the image."
}
}
}
}
},
"ChatCompletionResponse": {
"type": "object",
"title": "Chat Completion Response",
"description": "The response from a chat completion request containing generated message choices and usage statistics.",
"properties": {
"id": {
"type": "string",
"description": "A unique identifier for the chat completion."
},
"object": {
"type": "string",
"const": "chat.completion",
"description": "The object type, always chat.completion."
},
"created": {
"type": "integer",
"description": "Unix timestamp in seconds of when the completion was created."
},
"model": {
"type": "string",
"description": "The model used for the chat completion."
},
"choices": {
"type": "array",
"description": "A list of chat completion choices.",
"items": { "$ref": "#/$defs/ChatCompletionChoice" }
},
"usage": {
"$ref": "#/$defs/Usage"
}
}
},
"ChatCompletionChoice": {
"type": "object",
"title": "Chat Completion Choice",
"description": "A single generated completion choice with message content and finish reason.",
"properties": {
"index": {
"type": "integer",
"description": "The index of the choice in the list."
},
"message": {
"$ref": "#/$defs/ChatMessage"
},
"finish_reason": {
"type": "string",
"enum": ["stop", "length", "content_filter"],
"description": "The reason the model stopped generating tokens."
}
}
},
"Usage": {
"type": "object",
"title": "Token Usage",
"description": "Token usage statistics for an API request.",
"properties": {
"prompt_tokens": {
"type": "integer",
"description": "Number of tokens in the prompt."
},
"completion_tokens": {
"type": "integer",
"description": "Number of tokens in the generated completion."
},
"total_tokens": {
"type": "integer",
"description": "Total tokens used in the request."
}
}
},
"Model": {
"type": "object",
"title": "Model",
"description": "An AI model available for inference on the Qubrid AI platform.",
"properties": {
"id": {
"type": "string",
"description": "The unique identifier of the model."
},
"object": {
"type": "string",
"const": "model",
"description": "The object type, always model."
},
"created": {
"type": "integer",
"description": "Unix timestamp of when the model was registered."
},
"owned_by": {
"type": "string",
"description": "The organization that owns or published the model."
}
}
}
}
}