Experiments Available Columns
Procures the column information for experiments.
curl --request POST \
--url https://api.acme.rungalileo.io/v2/projects/{project_id}/experiments/available_columns \
--header 'Galileo-API-Key: <api-key>'
{
"columns": [
{
"applicable_types": [],
"category": "standard",
"data_type": "uuid",
"description": "Galileo ID of the experiment",
"filterable": true,
"group_label": "Standard",
"id": "id",
"label": "ID",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "timestamp",
"description": "Timestamp of the experiment's creation",
"filterable": true,
"group_label": "Standard",
"id": "created_at",
"label": "Created",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "timestamp",
"description": "Timestamp of the trace or span's last update",
"filterable": true,
"group_label": "Standard",
"id": "updated_at",
"label": "Last Updated",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "text",
"description": "Name of the experiment",
"filterable": true,
"group_label": "Standard",
"id": "name",
"label": "Name",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "uuid",
"description": "Galileo ID of the project associated with this experiment",
"filterable": true,
"group_label": "Standard",
"id": "project_id",
"label": "Project ID",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "uuid",
"filterable": true,
"group_label": "Standard",
"id": "created_by",
"label": "Created By",
"multi_valued": false,
"sortable": true
},
{
"allowed_values": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17
],
"applicable_types": [],
"category": "standard",
"data_type": "text",
"filterable": true,
"group_label": "Standard",
"id": "task_type",
"label": "Task Type",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "floating_point",
"filterable": true,
"group_label": "Standard",
"id": "ranking_score",
"label": "Ranking Score",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "integer",
"filterable": true,
"group_label": "Standard",
"id": "rank",
"label": "Rank",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "boolean",
"filterable": true,
"group_label": "Standard",
"id": "winner",
"label": "Winner",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "metric",
"filterable": true,
"id": "metrics/average_cost",
"label": "average_cost",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "metric",
"filterable": true,
"id": "metrics/average_bleu",
"label": "average_bleu",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "metric",
"filterable": true,
"id": "metrics/total_responses",
"label": "total_responses",
"multi_valued": false,
"sortable": true
}
]
}
Authorizations
Path Parameters
Response
Column id. Must be universally unique.
Category of the column.
standard
, metric
, user_metadata
, dataset
Display label of the column in the UI.
Description of the column.
Display label of the column group.
Insight type.
vertical_bar
, horizontal_bar
Data type of the column. This is used to determine how to format the data on the UI.
uuid
, text
, integer
, floating_point
, boolean
, timestamp
Data unit of the column (optional).
percentage
, nano_seconds
, milli_seconds
, dollars
, count_and_total
Whether the column is multi-valued.
Allowed values for this column.
Thresholds for the column, if this is a metrics column.
Whether the column should be inverted for thresholds, i.e. if True, lower is better.
Threshold buckets for the column. If the column is a metric, these are the thresholds for the column.
Ordered list of strings that raw values get transformed to for displaying.
Whether the column is sortable.
Whether the column is filterable.
For metric columns only: ID for the scorer that produced the metric.
List of types applicable for this column.
llm
, retriever
, tool
, workflow
, trace
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curl --request POST \
--url https://api.acme.rungalileo.io/v2/projects/{project_id}/experiments/available_columns \
--header 'Galileo-API-Key: <api-key>'
{
"columns": [
{
"applicable_types": [],
"category": "standard",
"data_type": "uuid",
"description": "Galileo ID of the experiment",
"filterable": true,
"group_label": "Standard",
"id": "id",
"label": "ID",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "timestamp",
"description": "Timestamp of the experiment's creation",
"filterable": true,
"group_label": "Standard",
"id": "created_at",
"label": "Created",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "timestamp",
"description": "Timestamp of the trace or span's last update",
"filterable": true,
"group_label": "Standard",
"id": "updated_at",
"label": "Last Updated",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "text",
"description": "Name of the experiment",
"filterable": true,
"group_label": "Standard",
"id": "name",
"label": "Name",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "uuid",
"description": "Galileo ID of the project associated with this experiment",
"filterable": true,
"group_label": "Standard",
"id": "project_id",
"label": "Project ID",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "uuid",
"filterable": true,
"group_label": "Standard",
"id": "created_by",
"label": "Created By",
"multi_valued": false,
"sortable": true
},
{
"allowed_values": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17
],
"applicable_types": [],
"category": "standard",
"data_type": "text",
"filterable": true,
"group_label": "Standard",
"id": "task_type",
"label": "Task Type",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "floating_point",
"filterable": true,
"group_label": "Standard",
"id": "ranking_score",
"label": "Ranking Score",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "integer",
"filterable": true,
"group_label": "Standard",
"id": "rank",
"label": "Rank",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "standard",
"data_type": "boolean",
"filterable": true,
"group_label": "Standard",
"id": "winner",
"label": "Winner",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "metric",
"filterable": true,
"id": "metrics/average_cost",
"label": "average_cost",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "metric",
"filterable": true,
"id": "metrics/average_bleu",
"label": "average_bleu",
"multi_valued": false,
"sortable": true
},
{
"applicable_types": [],
"category": "metric",
"filterable": true,
"id": "metrics/total_responses",
"label": "total_responses",
"multi_valued": false,
"sortable": true
}
]
}