{
  "description": "RetrievalModelV1 is the Schema for the retrievalmodelsv1 API",
  "properties": {
    "apiVersion": {
      "description": "APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources",
      "type": [
        "string",
        "null"
      ]
    },
    "kind": {
      "description": "Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds",
      "type": [
        "string",
        "null"
      ]
    },
    "metadata": {
      "type": [
        "object",
        "null"
      ]
    },
    "spec": {
      "additionalProperties": false,
      "description": "RetrievalModel resource definition v1 from Teleport",
      "properties": {
        "bedrock": {
          "additionalProperties": false,
          "description": "Bedrock indicates that this model uses Amazon Bedrock as the embeddings provider and specifies Bedrock-specific parameters.",
          "nullable": true,
          "properties": {
            "bedrock_model_id": {
              "description": "BedrockModelId specifies a model ID or an inference profile as understood by the Bedrock API.",
              "type": [
                "string",
                "null"
              ]
            },
            "integration": {
              "description": "Integration is the AWS OIDC Integration name. If unset, Teleport will use AWS credentials available on the Auth Service machine; otherwise, it will use the specified OIDC integration for assuming appropriate role.",
              "type": [
                "string",
                "null"
              ]
            },
            "region": {
              "description": "Region is the AWS region which will be used for inference.",
              "type": [
                "string",
                "null"
              ]
            },
            "temperature": {
              "description": "Temperature controls the randomness of the model's output.",
              "type": [
                "number",
                "null"
              ]
            }
          },
          "type": [
            "object",
            "null"
          ]
        },
        "inference_model_name": {
          "description": "inference_model_name is the name of the model used to convert natural language search queries into API requests and generate prose from a session summary.",
          "type": [
            "string",
            "null"
          ]
        },
        "openai": {
          "additionalProperties": false,
          "description": "Openai indicates that this model uses OpenAI as the embeddings provider and specifies OpenAI-specific parameters.",
          "nullable": true,
          "properties": {
            "api_key_secret_ref": {
              "description": "ApiKeySecretRef is a reference to an InferenceSecret that contains the OpenAI API key.",
              "type": [
                "string",
                "null"
              ]
            },
            "base_url": {
              "description": "BaseUrl is the OpenAI API base URL. Optional, defaults to the public OpenAI API URL. May be used to point to a custom OpenAI-compatible API, such as LiteLLM. In such case, the `api_key_secret_ref` must point to a secret that contains the API key for that custom API.",
              "type": [
                "string",
                "null"
              ]
            },
            "openai_model_id": {
              "description": "OpenaiModelId specifies the model ID, as understood by the OpenAI API.",
              "type": [
                "string",
                "null"
              ]
            },
            "temperature": {
              "description": "Temperature controls the randomness of the model's output.",
              "type": [
                "number",
                "null"
              ]
            }
          },
          "type": [
            "object",
            "null"
          ]
        }
      },
      "type": [
        "object",
        "null"
      ]
    },
    "status": {
      "additionalProperties": false,
      "description": "Status defines the observed state of the Teleport resource",
      "properties": {
        "conditions": {
          "description": "Conditions represent the latest available observations of an object's state",
          "items": {
            "additionalProperties": false,
            "description": "Condition contains details for one aspect of the current state of this API Resource.",
            "properties": {
              "lastTransitionTime": {
                "description": "lastTransitionTime is the last time the condition transitioned from one status to another.\nThis should be when the underlying condition changed.  If that is not known, then using the time when the API field changed is acceptable.",
                "format": "date-time",
                "type": "string"
              },
              "message": {
                "description": "message is a human readable message indicating details about the transition.\nThis may be an empty string.",
                "maxLength": 32768,
                "type": "string"
              },
              "observedGeneration": {
                "description": "observedGeneration represents the .metadata.generation that the condition was set based upon.\nFor instance, if .metadata.generation is currently 12, but the .status.conditions[x].observedGeneration is 9, the condition is out of date\nwith respect to the current state of the instance.",
                "format": "int64",
                "minimum": 0,
                "type": [
                  "integer",
                  "null"
                ]
              },
              "reason": {
                "description": "reason contains a programmatic identifier indicating the reason for the condition's last transition.\nProducers of specific condition types may define expected values and meanings for this field,\nand whether the values are considered a guaranteed API.\nThe value should be a CamelCase string.\nThis field may not be empty.",
                "maxLength": 1024,
                "minLength": 1,
                "pattern": "^[A-Za-z]([A-Za-z0-9_,:]*[A-Za-z0-9_])?$",
                "type": "string"
              },
              "status": {
                "description": "status of the condition, one of True, False, Unknown.",
                "enum": [
                  "True",
                  "False",
                  "Unknown"
                ],
                "type": "string"
              },
              "type": {
                "description": "type of condition in CamelCase or in foo.example.com/CamelCase.",
                "maxLength": 316,
                "pattern": "^([a-z0-9]([-a-z0-9]*[a-z0-9])?(\\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*/)?(([A-Za-z0-9][-A-Za-z0-9_.]*)?[A-Za-z0-9])$",
                "type": "string"
              }
            },
            "required": [
              "lastTransitionTime",
              "message",
              "reason",
              "status",
              "type"
            ],
            "type": "object"
          },
          "type": [
            "array",
            "null"
          ]
        },
        "teleportResourceID": {
          "format": "int64",
          "type": [
            "integer",
            "null"
          ]
        }
      },
      "type": [
        "object",
        "null"
      ]
    }
  },
  "type": "object",
  "x-kubernetes-validations": [
    {
      "message": "resource must be named \"retrieval-model\"",
      "rule": "self.metadata.name == \"retrieval-model\""
    }
  ]
}