How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

Label Studio subpackage_prompts API

The subpackage_prompts API from Label Studio — 7 operation(s) for subpackage_prompts.

Label Studio subpackage_prompts API is one of 74 APIs that Label Studio publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and an API reference.

This API exposes 10 operations across 7 paths, and defines 31 schemas. It is described by OpenAPI 3.1.0, at version 1.0.0.

Requests are made against a single base URL, http://localhost:8000.

10 operations 7 paths 31 schemas 1 DELETE5 GET1 PATCH3 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.1.0
API Version
1.0.0
Base URL
https://app.humansignal.com/api
Authentication
API Key
Resource Areas
1

Authentication & Security 1

Label Studio subpackage_prompts API declares 1 security scheme for authenticating requests. An API key is passed in the header as Authorization (Token).

  • Token — The token (or API key) must be passed as a request header. You can find your user token on the User Account page in Label Studio. Example: curl https://label-s…

Paths & Operations 10

Across 7 paths, the API surfaces 10 operations — 1 DELETE, 5 GET, 1 PATCH, 3 POST. Each is listed below with its method, path, parameters, and response codes.

subpackage_prompts 10
POST
/api/model-run/batch-failed-predictions
✨ Create batch of failed predictions
batch-failed-predictions 2 params body → 201
POST
/api/model-run/batch-predictions
✨ Create batch predictions
batch-predictions 2 params body → 201
GET
/api/projects/{project_pk}/subset-tasks
✨ Get Project Subset Task List with Predictions and Accuracy details
subset-tasks 9 params → 200400
GET
/api/projects/{project_pk}/subsets
✨ Get available subsets of a project (for prompts usage)
subsets 3 params → 200
GET
/api/prompts/
✨ List prompts
list 5 params → 200
POST
/api/prompts/
✨ Create prompt
create 1 param body → 201
GET
/api/prompts/compatible-projects
✨ List projects compatible with prompt
compatible-projects 5 params → 200
GET
/api/prompts/{id}/
✨ Get prompt
get 2 params → 200
DELETE
/api/prompts/{id}/
✨ Delete prompt
delete 2 params → 200
PATCH
/api/prompts/{id}/
✨ Update prompt
update 2 params body → 200

Schemas 31

The contract defines 31 schemas that model the data the API accepts and returns. The most detailed are AllRolesProjectList (87 properties), ReviewSettings (16 properties), ModelInterfaceSerializerGET (14 properties), ModelInterface (11 properties). Each schema is shown below with its type and property counts.

ModelInterfaceSerializerGET
object
14 properties 7 required
BatchPredictions
object
2 properties 2 required
ReviewSettingsSamplingEnum
string
taskid - By Task ID random - Random
BatchFailedPredictionsRequestRequest
object
3 properties 2 required
PaginatedProjectSubsetTasksResponseList
object
4 properties 2 required
ApiPromptsCompatibleProjectsGetParametersProjectType
string
RequeueRejectedTasksModeEnum
string
requeue - Requeue remove - Remove flexible - Flexible
PaginatedAllRolesProjectListList
object
4 properties 2 required
ModelInterfaceRequest
object
8 properties 1 required
ControlTagWeight
object
Weights configuration for a single control tag. Structure: {"overall": 0.5, "type": "Choices", "labels": {"cat": 1.0, "dog": 0.0}}
3 properties 2 required
ProjectSubsetItem
object
3 properties 2 required
BlueprintList
object
7 properties 5 required
PaginatedModelInterfaceSerializerGETList
object
4 properties 2 required
UserSimple
object
A ModelSerializer that takes additional arguments for "fields", "omit" and "expand" in order to control which fields are displayed, and whether to replace simp…
6 properties 3 required
ProjectSubsetTasksResponse
object
4 properties 1 required
AllRolesProjectList
object
Serializer get numbers from project queryset annotation, make sure, that you use correct one(Project.objects.withcounts())
87 properties 35 required
BatchPredictionsRequestRequest
object
3 properties 2 required
ProjectSubsetTaskItem
object
6 properties 1 required
AssociatedProject
object
A ModelSerializer that takes additional arguments for "fields", "omit" and "expand" in order to control which fields are displayed, and whether to replace simp…
2 properties 1 required
ReviewSettings
object
16 properties 2 required
PatchedModelInterfaceRequest
object
8 properties
ReviewCriteriaEnum
string
all - Task is reviewed if all annotations are reviewed one - Task is reviewed if at least one annotation is reviewed
ModelInterface
object
11 properties 4 required
AgreementMethodologyEnum
string
consensus - Consensus pairwise - Pairwise Averaging
LabelStreamTaskDistributionEnum
string
autodistribution - Label Stream distributes tasks automatically to annotators assignedonly - Label Stream shows tasks only to assigned users
SamplingDe5Enum
string
Sequential sampling - Tasks are ordered by Data manager ordering Uniform sampling - Tasks are chosen randomly Uncertainty sampling - Tasks are chosen according…
SkipQueueEnum
string
REQUEUEFORME - Requeue for me REQUEUEFOROTHERS - Requeue for others IGNORESKIPPED - Ignore skipped
AssignmentSettings
object
3 properties 1 required
BatchFailedPredictions
object
2 properties 2 required
UserSimpleRequest
object
A ModelSerializer that takes additional arguments for "fields", "omit" and "expand" in order to control which fields are displayed, and whether to replace simp…
4 properties 1 required
SkillNameEnum
string
TextClassification - TextClassification NamedEntityRecognition - NamedEntityRecognition

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

label-studio-subpackage-prompts-api-openapi.yml Raw ↑

Other APIs Label Studio publishes across the network.

Label Studio subpackage_actions API
Label Studio subpackage_activityLogs API
Label Studio subpackage_annotationHistory API
Label Studio subpackage_annotationReviews API
Label Studio subpackage_annotations API
Label Studio subpackage_billing API
Label Studio subpackage_comments API
Label Studio subpackage_dimensions API
Label Studio subpackage_exportStorage API
Label Studio subpackage_exportStorage.subpackage_exportStorage/azure API
Label Studio subpackage_exportStorage.subpackage_exportStorage/azureSpi API
Label Studio subpackage_exportStorage.subpackage_exportStorage/databricks API
Where this information came from

This is an independent, third-party profile of Label Studio subpackage_prompts API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.