opensearch-docs-cn/_ml-commons-plugin/api/profile.md

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---
layout: default
title: Profile
parent: ML Commons API
nav_order: 40
---
# 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:
```json
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
```json
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
```json
GET /_plugins/_ml/profile
{
"node_ids": ["KzONM8c8T4Od-NoUANQNGg"],
"return_all_tasks": true,
"return_all_models": true
}
```
{% include copy-curl.html %}
#### Example response
```json
{
"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
}
}
}
},
...
}
}
```