Upsert Evaluator

Create an Evaluator or update it with a new version if it already exists.

Evaluators are identified by the ID or their path. The spec provided determines the version of the Evaluator.

You can provide version_name and version_description to identify and describe your versions. Version names must be unique within an Evaluator - attempting to create a version with a name that already exists will result in a 409 Conflict error.

Request

This endpoint expects an object.

specobjectRequired

pathstringOptional

Path of the Evaluator, including the name. This locates the Evaluator in the Humanloop filesystem and is used as as a unique identifier. For example: folder/name or just name.

idstringOptional

ID for an existing Evaluator.

version_namestringOptional

Unique name for the Evaluator version. Version names must be unique for a given Evaluator.

version_descriptionstringOptional

Description of the version, e.g., the changes made in this version.

Response

Successful Response

pathstring

Path of the Evaluator including the Evaluator name, which is used as a unique identifier.

idstring

Unique identifier for the Evaluator.

specobject

namestring

Name of the Evaluator, which is used as a unique identifier.

version_idstring

Unique identifier for the specific Evaluator Version. If no query params provided, the default deployed Evaluator Version is returned.

created_atdatetime

updated_atdatetime

last_used_atdatetime

version_logs_countinteger

The number of logs that have been generated for this Evaluator Version

total_logs_countinteger

The number of logs that have been generated across all Evaluator Versions

inputslist of objects

Inputs associated to the Evaluator. Inputs correspond to any of the variables used within the Evaluator template.

directory_idstring or null

ID of the directory that the file is in on Humanloop.

version_namestring or null

Unique name for the Evaluator version. Version names must be unique for a given Evaluator.

version_descriptionstring or null

Description of the version, e.g., the changes made in this version.

descriptionstring or null

Description of the Evaluator.

schemamap from strings to any or null

The JSON schema for the File.

readmestring or null

Long description of the file.

tagslist of strings or null

List of tags associated with the file.

type"evaluator" or nullDefaults to evaluator

environmentslist of objects or null

The list of environments the Evaluator Version is deployed to.

created_byany or null

The user who created the Evaluator.

evaluatorslist of objects or null

Evaluators that have been attached to this Evaluator that are used for monitoring logs.

evaluator_aggregateslist of objects or null

Aggregation of Evaluator results for the Evaluator Version.

attributesmap from strings to any or null

Additional fields to describe the Evaluator. Helpful to separate Evaluator versions from each other with details on how they were created or used.

1	{
2	"path": "Shared Evaluators/Accuracy Evaluator",
3	"id": "ev_890bcd",
4	"spec": {
5	"arguments_type": "target_required",
6	"return_type": "number",
7	"evaluator_type": "python",
8	"code": "def evaluate(answer, target):\n return 0.5"
9	},
10	"name": "Accuracy Evaluator",
11	"version_id": "evv_012def",
12	"created_at": "2024-05-01T12:00:00Z",
13	"updated_at": "2024-05-01T12:00:00Z",
14	"last_used_at": "2024-05-01T12:00:00Z",
15	"version_logs_count": 1,
16	"total_logs_count": 1,
17	"inputs": [
18	{
19	"name": "answer"
20	}
21	],
22	"type": "evaluator"
23	}

Headers

Request

Response

Errors

1	from humanloop import Humanloop
2	client = Humanloop(api_key="YOUR_API_KEY", )
3	client.evaluators.upsert(path='Shared Evaluators/Accuracy Evaluator', spec={'arguments_type': "target_required", 'return_type': "number", 'evaluator_type': 'python', 'code': 'def evaluate(answer, target):\n return 0.5'}, version_name='simple-evaluator', version_description='Simple evaluator that returns 0.5', )