Link Search Menu Expand Document Documentation Menu
Documentation

Profile

The profile API operation returns runtime information about ML tasks and models. The profile operation can help debug model issues at runtime.

The number of requests returned

By default, the Profile API monitors the last 100 requests. To change the number of monitoring requests, update the following cluster setting:

PUT _cluster/settings
{
  "persistent" : {
    "plugins.ml_commons.monitoring_request_count" : 1000000 
  }
}

To clear all monitoring requests, set plugins.ml_commons.monitoring_request_count to 0.

Path and HTTP methods

GET /_plugins/_ml/profile
GET /_plugins/_ml/profile/models
GET /_plugins/_ml/profile/models/<model_id>
GET /_plugins/_ml/profile/tasks
GET /_plugins/_ml/profile/tasks/<task_id>

Path parameters

Parameter Data type Description
model_id String Returns runtime data for a specific model. You can provide multiple model IDs as comma-separated values to retrieve multiple model profiles.
task_id String Returns runtime data for a specific task. You can provide multiple task IDs as comma-separated values to retrieve multiple task profiles.

Request fields

All profile body request fields are optional.

Field Data type Description
node_ids String Returns all tasks and profiles from a specific node.
model_ids String Returns runtime data for a specific model. You can string together multiple model IDs to return multiple model profiles.
task_ids String Returns runtime data for a specific task. You can string together multiple task IDs to return multiple task profiles.
return_all_tasks Boolean Determines whether or not a request returns all tasks. When set to false, task profiles are left out of the response.
return_all_models Boolean Determines whether or not a profile request returns all models. When set to false, model profiles are left out of the response.

Example request: Returning all tasks and models on a specific node

GET /_plugins/_ml/profile
{
  "node_ids": ["KzONM8c8T4Od-NoUANQNGg"],
  "return_all_tasks": true,
  "return_all_models": true
}

Example response

{
  "nodes" : {
    "qTduw0FJTrmGrqMrxH0dcA" : { # node id
      "models" : {
        "WWQI44MBbzI2oUKAvNUt" : { # model id
          "worker_nodes" : [ # routing table
            "KzONM8c8T4Od-NoUANQNGg"
          ]
        }
      }
    },
    ...
    "KzONM8c8T4Od-NoUANQNGg" : { # node id
      "models" : {
        "WWQI44MBbzI2oUKAvNUt" : { # model id
          "model_state" : "DEPLOYED", # model status
          "predictor" : "org.opensearch.ml.engine.algorithms.text_embedding.TextEmbeddingModel@592814c9",
          "worker_nodes" : [ # routing table
            "KzONM8c8T4Od-NoUANQNGg"
          ],
          "predict_request_stats" : { # predict request stats on this node
            "count" : 2, # total predict requests on this node
            "max" : 89.978681, # max latency in milliseconds
            "min" : 5.402,
            "average" : 47.6903405,
            "p50" : 47.6903405,
            "p90" : 81.5210129,
            "p99" : 89.13291418999998
          }
        }
      }
    },
    ...
  }
}
350 characters left

Have a question? .

Want to contribute? or .