{
  "opencollection": "1.0.0",
  "info": {
    "name": "KServe Open Inference Protocol Health Metadata API",
    "version": "v2"
  },
  "items": [
    {
      "info": {
        "name": "Metadata",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Get Server Metadata",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://inference.kserve.example.com/v2"
          },
          "docs": "Returns metadata about the inference server, including its name, version, and the extensions it supports."
        },
        {
          "info": {
            "name": "Get Model Metadata",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://inference.kserve.example.com/v2/models/:model_name",
            "params": [
              {
                "name": "model_name",
                "value": "resnet50-image-classifier",
                "type": "path",
                "description": "Name of the model."
              }
            ]
          },
          "docs": "Returns metadata about a model, including its name, versions, platform, inputs, and outputs. Use this to discover the input/output tensor shapes and data types before submitting inference requests."
        },
        {
          "info": {
            "name": "Get Model Version Metadata",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://inference.kserve.example.com/v2/models/:model_name/versions/:model_version",
            "params": [
              {
                "name": "model_name",
                "value": "resnet50-image-classifier",
                "type": "path"
              },
              {
                "name": "model_version",
                "value": "2",
                "type": "path"
              }
            ]
          },
          "docs": "Returns metadata for a specific version of a model."
        }
      ]
    }
  ],
  "bundled": true
}