Seldon Inference Request (Open Inference Protocol V2)
Schema for an inference request payload sent to a Seldon model endpoint following the Open Inference Protocol V2.
MLOpsMachine-LearningModel ServingInferenceKubernetesAI OperationsDrift DetectionExplainabilityCanary DeploymentA/B TestingLLMOps
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/seldon/main/json-schema/seldon-inference-request.json",
"title": "Seldon Inference Request (Open Inference Protocol V2)",
"description": "Schema for an inference request payload sent to a Seldon model endpoint following the Open Inference Protocol V2.",
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Optional unique identifier for the inference request."
},
"inputs": {
"type": "array",
"description": "List of input tensors for the inference request.",
"items": {
"$ref": "#/$defs/InferenceTensor"
},
"minItems": 1
},
"outputs": {
"type": "array",
"description": "Optional list of requested output tensors.",
"items": {
"$ref": "#/$defs/InferenceTensor"
}
},
"parameters": {
"type": "object",
"description": "Optional request-level parameters.",
"additionalProperties": true
}
},
"required": ["inputs"],
"$defs": {
"InferenceTensor": {
"type": "object",
"title": "InferenceTensor",
"description": "A named tensor with shape, datatype, and data.",
"properties": {
"name": {
"type": "string",
"description": "The name of the tensor."
},
"shape": {
"type": "array",
"description": "The shape of the tensor as an array of dimensions.",
"items": {
"type": "integer"
}
},
"datatype": {
"type": "string",
"description": "The datatype of the tensor.",
"enum": ["BOOL", "UINT8", "UINT16", "UINT32", "UINT64", "INT8", "INT16", "INT32", "INT64", "FP16", "FP32", "FP64", "BYTES", "STRING"]
},
"data": {
"description": "The tensor data as a flattened array or nested array matching the shape.",
"oneOf": [
{ "type": "array" },
{ "type": "string" }
]
},
"parameters": {
"type": "object",
"description": "Optional per-tensor parameters.",
"additionalProperties": true
}
},
"required": ["name", "shape", "datatype", "data"]
}
},
"examples": [
{
"id": "req-001",
"inputs": [
{
"name": "input",
"shape": [1, 4],
"datatype": "FP32",
"data": [5.1, 3.5, 1.4, 0.2]
}
]
}
]
}
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