{
  "opencollection": "1.0.0",
  "info": {
    "name": "LandingAI Agentic Document Extraction (ADE) API v1: Parse, Extract, Classify, Split, Section Classes Deployment API",
    "version": "0.1.0"
  },
  "items": [
    {
      "info": {
        "name": "Deployment",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Get Deployments",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://api.va.landing.ai/v1/projects/:project_id/deployments",
            "headers": [
              {
                "name": "apikey",
                "value": ""
              }
            ],
            "params": [
              {
                "name": "project_id",
                "value": "",
                "type": "path"
              },
              {
                "name": "timeout",
                "value": "",
                "type": "query"
              }
            ]
          },
          "docs": "Get Deployments"
        },
        {
          "info": {
            "name": "Create Deployment",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "https://api.va.landing.ai/v1/projects/:project_id/deployments",
            "headers": [
              {
                "name": "apikey",
                "value": ""
              }
            ],
            "params": [
              {
                "name": "project_id",
                "value": "",
                "type": "path"
              },
              {
                "name": "timeout",
                "value": "",
                "type": "query"
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "This endpoint creates a deployment, which is an instance for running a\nmodel and performing predictions.\n\nTo create a deployment, you only need to provide a unique name. Upon\nsuccessful creation, the endpoint will return an HTTP URL where you can\nsend requests for predictions (also known as inferences).\n\nThe deployment name cannot be changed after creation.\n\nHere's a breakdown of the deployment creation options:\n\n**Model** (Optional): You can either:\n\n- Provide the model data during deployment c"
        },
        {
          "info": {
            "name": "Get Single Deployment",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://api.va.landing.ai/v1/projects/:project_id/deployments/:deployment_id",
            "headers": [
              {
                "name": "apikey",
                "value": ""
              }
            ],
            "params": [
              {
                "name": "deployment_id",
                "value": "",
                "type": "path"
              },
              {
                "name": "timeout",
                "value": "",
                "type": "query"
              }
            ]
          },
          "docs": "Get Single Deployment"
        },
        {
          "info": {
            "name": "Update Deployment",
            "type": "http"
          },
          "http": {
            "method": "PUT",
            "url": "https://api.va.landing.ai/v1/projects/:project_id/deployments/:deployment_id",
            "headers": [
              {
                "name": "apikey",
                "value": ""
              }
            ],
            "params": [
              {
                "name": "project_id",
                "value": "",
                "type": "path"
              },
              {
                "name": "deployment_id",
                "value": "",
                "type": "path"
              },
              {
                "name": "timeout",
                "value": "",
                "type": "query"
              }
            ],
            "body": {
              "type": "json",
              "data": "{}"
            }
          },
          "docs": "You can update a deployment by providing one or both of the following:\n- A new model to be used for predictions.\n- A new threshold value to be used for classifying predictions.\n\nAt least one of these values must be provided for a successful update.\n\nUpdating the threshold value with a model already deployed has the\nfollowing behavior:\n- If you specify a new threshold value, it will override the model's\ndefault threshold.\n- If you don't specify a new threshold value, the model's default\nthreshold"
        }
      ]
    }
  ],
  "bundled": true
}