---
title: "PUT /udl/aimodel/{id}"
method: PUT
path: "/udl/aimodel/{id}"
tags: ["Models and Simulations"]
---

# PUT /udl/aimodel/{id}

`PUT /udl/aimodel/{id}`

## Request

- Base URL: `https://unifieddatalibrary.com`
- URL: `https://unifieddatalibrary.com/udl/aimodel/{id}`
- Auth: none declared

Service operation to update a single AIModel record. A specific role is required to perform this service operation. Please contact the UDL team for assistance.

## Path parameters

- `id` string, required

## Request body

- AIModelIngest: Defines the characteristics, configuration, and performance metrics of an AI model used to generate a prediction.
  - `id` string: Unique identifier of the record, auto-generated by the system if not provided on create operations.
  - `classificationMarking` string, required: Classification marking of the data in IC/CAPCO Portion-marked format.
  - `task` string, required: Type of task this model is designed to perform.
  - `modelVersion` string, required: Version of this model.
  - `latestTrainingDate` string, date-time, required: Datetime when this model was trained, in ISO 8601 UTC with millisecond precision.
  - `description` string: Description of the purpose or function of this model.
  - `input` string: Type of input data this model is designed to accept.
  - `output` string: Output or deliverable produced by this model.
  - `modelSource` string: Source or origin of this model.
  - `certAuthorities` string[]: List of Certifying Authorities (CA) used to validate and verify performance of this model within defined operating conditions.
  - `contentDomain` string[]: List of specific subject areas or types of content this model is designed to understand and work with.
  - `corpus` string[]: List of the datasets used to train or evaluate this model.
  - `latestTrainingVersion` string: Version of the most recent training dataset used by this model.
  - `licenses` string[]: List of licenses under which this model is distributed.
  - `limitations` string[]: List of known limitations of this model.
  - `aiModelPerformance` AIModelPerformanceIngest[]: Collection of model performance data associated with this model record.
    - `metricType` string: Type of metric used to evaluate the associated model (e.g., ACCURACY, BENCHMARK, PERFORMANCE, UNCERTAINTY, etc.).
    - `metricName` string: Name of the metric used to evaluate the associated model.
    - `metricDescription` string: Description of the metric used to evaluate the associated model.
    - `resultType` string: The type of performance result for the specified metricName.
    - `resultValue` number, double: The value of the resultType expressed in the specified unit of measure (resultUoM).
    - `resultUoM` string: The unit of measure of the resultValue. If there are no physical units associated with the measurement, a value of NONE should be specified.
  - `tags` string[]: Optional array of provider/source specific tags for this data, where each element is no longer than 32 characters, used for implementing data owner conditional access controls to restrict access to the data. Should be left null by data providers unless conditional access controls are coordinated with the UDL team.
  - `transactionId` string: Optional identifier to track a commercial or marketplace transaction executed to produce this data.
  - `createdAt` string, date-time: Time the row was created in the database, auto-populated by the system.
  - `createdBy` string: Application user who created the row in the database, auto-populated by the system.
  - `updatedAt` string, date-time: Time the row was last updated in the database, auto-populated by the system.
  - `updatedBy` string: Application user who updated the row in the database, auto-populated by the system.
  - `sourceDL` string: The source data library from which this record was received. This could be a remote or tactical UDL or another data library. If null, the record should be assumed to have originated from the primary Enterprise UDL.
  - `source` string, required: Source of the data.
  - `origin` string: Originating system or organization which produced the data, if different from the source. The origin may be different than the source if the source was a mediating system which forwarded the data on behalf of the origin system. If null, the source may be assumed to be the origin.
  - `origNetwork` string: The originating source network on which this record was created, auto-populated by the system.
  - `dataMode` 'REAL' | 'TEST' | 'SIMULATED' | 'EXERCISE', required: Indicator of whether the data is REAL, TEST, EXERCISE, or SIMULATED data: REAL: Data collected or produced that pertains to real-world objects, events, and analysis. TEST: Specific datasets used to evaluate compliance with specifications and requirements, and for validating technical, functional, and performance characteristics. EXERCISE: Data pertaining to a government or military exercise. The data may include both real and simulated data. SIMULATED: Synthetic data generated by a model to mimic real-world datasets.

## Response `204`

Success

## Other responses

- `400`: Bad Request
- `401`: Invalid/Missing User Credentials
- `403`: User Is Not Authorized
- `404`: Item Not Found
- `415`: MediaType Unsupported
- `429`: Rate of Requests Exceeds Allowed Limit
- `500`: Internal Server Error

## Changes

> 12 revisions in range; 1 could not be searched.

- **2026-03-25** `173e4aff893f`: 1 info
  - endpoint added

[Operation history](https://skmtc.dev/bluestaq/apis/unified-data-library-services-api/changes/udl/aimodel/:id/put.md)

---

[API](https://skmtc.dev/bluestaq/apis/unified-data-library-services-api.md) - [All operations](https://skmtc.dev/bluestaq/apis/unified-data-library-services-api/llms.txt) - [OpenAPI document](https://skmtc.dev/bluestaq/apis/unified-data-library-services-api/revisions/bd17bc53681e?raw)
