diff --git a/docs/reference/ml/df-analytics/apis/get-inference-trained-model.asciidoc b/docs/reference/ml/df-analytics/apis/get-inference-trained-model.asciidoc
index 25d488a17388a..ce8f7a44d8ab2 100644
--- a/docs/reference/ml/df-analytics/apis/get-inference-trained-model.asciidoc
+++ b/docs/reference/ml/df-analytics/apis/get-inference-trained-model.asciidoc
@@ -79,6 +79,14 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=size]
 (Optional, string)
 include::{docdir}/ml/ml-shared.asciidoc[tag=tags]
 
+
+[[ml-get-inference-results]]
+==== {api-response-body-title}
+
+`trained_model_configs`::
+(array) 
+include::{docdir}/ml/ml-shared.asciidoc[tag=trained-model-configs]
+
 [[ml-get-inference-response-codes]]
 ==== {api-response-codes-title}
 
diff --git a/docs/reference/ml/ml-shared.asciidoc b/docs/reference/ml/ml-shared.asciidoc
index 351557c40afa7..79a021f9cdb8f 100644
--- a/docs/reference/ml/ml-shared.asciidoc
+++ b/docs/reference/ml/ml-shared.asciidoc
@@ -134,7 +134,8 @@ analysis. You do not need to add fields with unsupported data types to
 end::analyzed-fields-excludes[]
 
 tag::analyzed-fields-includes[]
-An array of strings that defines the fields that will be included in the analysis.
+An array of strings that defines the fields that will be included in the 
+analysis.
 end::analyzed-fields-includes[]
 
 tag::assignment-explanation-anomaly-jobs[]
@@ -1422,6 +1423,49 @@ The number of `partition` field values that were analyzed by the models. This
 value is cumulative for all detectors in the job.
 end::total-partition-field-count[]
 
+tag::trained-model-configs[]
+An array of trained model resources, which are sorted by the `model_id` value in 
+ascending order.
+
+`model_id`:::
+(string)
+Idetifier for the trained model.
+
+`created_by`:::
+(string)
+Information on the creator of the trained model.
+
+`version`:::
+(string)
+The {es} version number in which the trained model was created.
+
+`create_time`:::
+(<<time-units,time units>>)
+The time when the trained model was created.
+
+`tags`:::
+(string)
+A comma delimited string of tags. A {infer} model can have many tags, or none.
+
+`metadata`:::
+(object)
+An object containing metadata about the trained model. For example, models 
+created by {dfanalytics} contain an `analysis_config` and an `input`
+object.
+
+`estimated_heap_memory_usage_bytes`:::
+(integer)
+The estimated heap usage in bytes to keep the trained model in memory.
+
+`estimated_operations`:::
+(integer)
+The estimated number of operations to use the trained model.
+
+`license_level`:::
+(string)
+The license level of the trained model.
+end::trained-model-configs[]
+
 tag::training-percent[]
 Defines what percentage of the eligible documents that will 
 be used for training. Documents that are ignored by the analysis (for example