specification/cognitiveservices/data-plane/AzureOpenAI/authoring/preview/2024-02-15-preview/azureopenai.yaml (1,073 lines of code) (raw):
swagger: '2.0'
info:
title: Azure OpenAI API version 2024-02-15-preview
description: APIs for fine-tuning and managing deployments of OpenAI models.
version: 2024-02-15-preview
paths:
/files:
get:
tags:
- 'Files:'
summary: "Gets a list of all files owned by the Azure OpenAI resource.\r\nThese include user uploaded content like files with purpose \"fine-tune\" for training or validation of fine-tunes models\r\nas well as files that are generated by the service such as \"fine-tune-results\" which contains various metrics for the corresponding fine-tune job."
operationId: Files_List
produces:
- application/json
parameters:
- in: query
name: purpose
description: Only return files with the given purpose.
type: string
enum:
- fine-tune
- fine-tune-results
- assistants
- assistants_output
x-ms-enum:
name: Purpose
modelAsString: true
values:
- value: fine-tune
description: This file contains training data for a fine tune job.
- value: fine-tune-results
description: This file contains the results of a fine tune job.
- value: assistants
description: This file contains data to be used in assistants.
- value: assistants_output
description: This file contains the results of an assistant.
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/FileList'
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Getting all files owned by this account.:
$ref: ./examples/get_files.json
post:
tags:
- 'Files:'
summary: Creates a new file entity by uploading data from a local machine. Uploaded files can, for example, be used for training or evaluating fine-tuned models.
operationId: Files_Upload
consumes:
- multipart/form-data
produces:
- application/json
parameters:
- $ref: '#/parameters/apiVersionQueryParameter'
- in: formData
name: purpose
description: The intended purpose of the uploaded documents. Use "fine-tune" for fine-tuning. This allows us to validate the format of the uploaded file.
required: true
type: string
enum:
- fine-tune
- fine-tune-results
- assistants
x-ms-enum:
name: Purpose
modelAsString: true
values:
- value: fine-tune
description: This file contains training data for a fine tune job.
- value: fine-tune-results
description: This file contains the results of a fine tune job.
- value: assistants
description: This file contains data that can be attached to an assistant.
- in: formData
name: file
description: Gets or sets the file to upload into Azure OpenAI.
required: true
type: file
responses:
'201':
description: The file has been successfully created.
schema:
$ref: '#/definitions/File'
headers:
Location:
description: The location of the newly created item.
type: string
format: url
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Upload a file.:
$ref: ./examples/upload_file.json
/files/{file-id}:
get:
tags:
- 'Files:'
summary: Gets details for a single file specified by the given file-id including status, size, purpose, etc.
operationId: Files_Get
produces:
- application/json
parameters:
- in: path
name: file-id
description: The identifier of the file.
required: true
type: string
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/File'
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Getting a file.:
$ref: ./examples/get_file.json
delete:
tags:
- 'Files:'
summary: "Deletes the file with the given file-id.\r\nDeletion is also allowed if a file was used, e.g., as training file in a fine-tune job."
operationId: Files_Delete
produces:
- application/json
parameters:
- in: path
name: file-id
description: The identifier of the file.
required: true
type: string
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'204':
description: The file was successfully deleted.
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Deleting a file.:
$ref: ./examples/delete_file.json
/files/{file-id}/content:
get:
tags:
- 'Files:'
summary: "Gets the content of the file specified by the given file-id.\r\nFiles can be user uploaded content or generated by the service like result metrics of a fine-tune job."
operationId: Files_GetContent
produces:
- application/octet-stream
- application/json
parameters:
- in: path
name: file-id
description: The identifier of the file.
required: true
type: string
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: Success
schema:
type: file
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Getting the file content.:
$ref: ./examples/get_file_content.json
/files/import:
post:
tags:
- 'Files:'
summary: Creates a new file entity by importing data from a provided url. Uploaded files can, for example, be used for training or evaluating fine-tuned models.
operationId: Files_Import
consumes:
- application/json
produces:
- application/json
parameters:
- $ref: '#/parameters/apiVersionQueryParameter'
- in: body
name: fileImport
description: The definition of the file to create including its purpose, the file name and the url of the file location.
required: true
schema:
$ref: '#/definitions/FileImport'
responses:
'201':
description: The file has been successfully created.
schema:
$ref: '#/definitions/File'
headers:
Location:
description: The location of the newly created item.
type: string
format: url
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Importing a file with a blob url as source.:
$ref: ./examples/import_file.json
/fine_tuning/jobs:
get:
tags:
- 'Fine-tuning:'
summary: "Gets a list of all fine-tune jobs owned by the Azure OpenAI resource.\r\nThe details that are returned for each fine-tune job contain besides its identifier\r\nthe base model, training and validation files, hyper parameters, time stamps, status and events.\r\nEvents are created when the job status changes, e.g. running or complete, and when results are uploaded."
operationId: FineTuning_List
produces:
- application/json
parameters:
- in: query
name: after
description: Identifier for the last event from the previous pagination request.
type: string
- in: query
name: limit
description: Number of events to retrieve. Defaults to 20.
type: integer
format: int32
default: 20
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/FineTuningJobList'
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Getting all fine tune jobs owned by this account.:
$ref: ./examples/get_finetuning_jobs.json
post:
tags:
- 'Fine-tuning:'
summary: "Creates a job that fine-tunes a specified model from a given training file.\r\nResponse includes details of the enqueued job including job status and hyper parameters.\r\nThe name of the fine-tuned model is added to the response once complete."
operationId: FineTuning_Create
consumes:
- application/json
produces:
- application/json
parameters:
- $ref: '#/parameters/apiVersionQueryParameter'
- in: body
name: fineTuningJob
description: "The specification of the fine-tuned model to create.\r\nRequired parameters are the base model and the training file to use.\r\nOptionally a validation file can be specified to compute validation metrics during training.\r\nHyper parameters will be set to default values or can by optionally specified.\r\nThese include batch size, learning rate multiplier, number of epochs and others."
required: true
schema:
$ref: '#/definitions/FineTuningJobCreation'
responses:
'201':
description: The fine tune has been successfully created.
schema:
$ref: '#/definitions/FineTuningJob'
headers:
Location:
description: The location of the newly created item.
type: string
format: url
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Creating a fine tune job.:
$ref: ./examples/post_finetuning_job.json
/fine_tuning/jobs/{fine-tuning-job-id}:
get:
tags:
- 'Fine-tuning:'
summary: "Gets details for a single fine-tune job specified by the given fine-tune-id.\r\nThe details contain the base model, training and validation files, hyper parameters, time stamps, status and events.\r\nEvents are created when the job status changes, e.g. running or complete, and when results are uploaded."
operationId: FineTuning_Get
produces:
- application/json
parameters:
- in: path
name: fine-tuning-job-id
description: The identifier of the fine-tune job.
required: true
type: string
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/FineTuningJob'
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Getting a fine tune job.:
$ref: ./examples/get_finetuning_job.json
delete:
tags:
- 'Fine-tuning:'
summary: Deletes the fine-tune job specified by the given fine-tune-id.
operationId: FineTuning_Delete
produces:
- application/json
parameters:
- in: path
name: fine-tuning-job-id
description: The identifier of the fine-tune job.
required: true
type: string
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'204':
description: The fine tune was successfully deleted.
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Deleting a fine tune job.:
$ref: ./examples/delete_finetuning_job.json
/fine_tuning/jobs/{fine-tuning-job-id}/events:
get:
tags:
- 'Fine-tuning:'
summary: "Gets the events for the fine-tune job specified by the given fine-tune-id.\r\nEvents are created when the job status changes, e.g. running or complete, and when results are uploaded."
operationId: FineTuning_GetEvents
produces:
- application/json
parameters:
- in: path
name: fine-tuning-job-id
description: The identifier of the fine-tune job.
required: true
type: string
- in: query
name: after
description: Identifier for the last event from the previous pagination request.
type: string
- in: query
name: limit
description: Number of events to retrieve. Defaults to 20.
type: integer
format: int32
default: 20
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/FineTuningJobEventList'
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Getting events of a fine tune job.:
$ref: ./examples/get_finetuning_job_events.json
/fine_tuning/jobs/{fine-tuning-job-id}/cancel:
post:
tags:
- 'Fine-tuning:'
summary: Cancels the processing of the fine-tune job specified by the given fine-tune-id.
operationId: FineTuning_Cancel
produces:
- application/json
parameters:
- in: path
name: fine-tuning-job-id
description: The identifier of the fine-tune job.
required: true
type: string
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: The fine tune has been successfully canceled
schema:
$ref: '#/definitions/FineTuningJob'
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Canceling a fine tune job.:
$ref: ./examples/cancel_finetuning_job.json
/models:
get:
tags:
- 'Models:'
summary: "Gets a list of all models that are accessible by the Azure OpenAI resource.\r\nThese include base models as well as all successfully completed fine-tuned models owned by the Azure OpenAI resource."
operationId: Models_List
produces:
- application/json
parameters:
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/ModelList'
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Getting all models owned by account.:
$ref: ./examples/get_models.json
/models/{model-id}:
get:
tags:
- 'Models:'
summary: Gets details for the model specified by the given modelId.
operationId: Models_Get
produces:
- application/json
parameters:
- in: path
name: model-id
description: The identifier of the model.
required: true
type: string
- $ref: '#/parameters/apiVersionQueryParameter'
responses:
'200':
description: Success
schema:
$ref: '#/definitions/Model'
default:
description: An error occurred.
schema:
$ref: '#/definitions/ErrorResponse'
x-ms-examples:
Getting a base model.:
$ref: ./examples/get_model_base.json
Getting a fine-tuned model.:
$ref: ./examples/get_model_finetune.json
definitions:
Capabilities:
title: Capabilities
description: The capabilities of a base or fine tune model.
required:
- chat_completion
- completion
- embeddings
- fine_tune
- inference
type: object
properties:
fine_tune:
description: A value indicating whether a model can be used for fine tuning.
type: boolean
inference:
description: A value indicating whether a model can be deployed.
type: boolean
completion:
description: A value indicating whether a model supports completion.
type: boolean
chat_completion:
description: A value indicating whether a model supports chat completion.
type: boolean
embeddings:
description: A value indicating whether a model supports embeddings.
type: boolean
Deprecation:
title: Deprecation
description: "Defines the dates of deprecation for the different use cases of a model.\r\nUsually base models support 1 year of fine tuning after creation. Inference is typically supported 2 years after creation of base or\r\nfine tuned models. The exact dates are specified in the properties."
required:
- inference
type: object
properties:
fine_tune:
format: unixtime
description: The end date of fine tune support of this model. Will be `null` for fine tune models.
type: integer
inference:
format: unixtime
description: The end date of inference support of this model.
type: integer
Error:
title: Error
description: "Error content as defined in the Microsoft REST guidelines\r\n(https://github.com/microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses)."
required:
- code
- message
type: object
properties:
code:
$ref: '#/definitions/ErrorCode'
message:
description: The message of this error.
minLength: 1
type: string
target:
description: The location where the error happened if available.
type: string
details:
description: The error details if available.
type: array
items:
$ref: '#/definitions/Error'
innererror:
$ref: '#/definitions/InnerError'
ErrorCode:
title: ErrorCode
description: "Error codes as defined in the Microsoft REST guidelines\r\n(https://github.com/microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses)."
enum:
- conflict
- invalidPayload
- forbidden
- notFound
- unexpectedEntityState
- itemDoesAlreadyExist
- serviceUnavailable
- internalFailure
- quotaExceeded
- jsonlValidationFailed
- fileImportFailed
- tooManyRequests
- unauthorized
- contentFilter
type: string
x-ms-enum:
name: ErrorCode
modelAsString: true
values:
- value: conflict
description: The requested operation conflicts with the current resource state.
- value: invalidPayload
description: The request data is invalid for this operation.
- value: forbidden
description: The operation is forbidden for the current user/api key.
- value: notFound
description: The resource is not found.
- value: unexpectedEntityState
description: The operation cannot be executed in the current resource's state.
- value: itemDoesAlreadyExist
description: The item does already exist.
- value: serviceUnavailable
description: The service is currently not available.
- value: internalFailure
description: Internal error. Please retry.
- value: quotaExceeded
description: Quota exceeded.
- value: jsonlValidationFailed
description: Validation of jsonl data failed.
- value: fileImportFailed
description: Import of file failed.
- value: tooManyRequests
description: Too many requests. Please retry later.
- value: unauthorized
description: The current user/api key is not authorized for the operation.
- value: contentFilter
description: Image generation failed as a result of our safety system.
ErrorResponse:
title: ErrorResponse
description: "Error response as defined in the Microsoft REST guidelines\r\n(https://github.com/microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses)."
required:
- error
type: object
properties:
error:
$ref: '#/definitions/Error'
EventType:
title: EventType
description: Defines the severity of a content filter result.
enum:
- message
- metrics
type: string
x-ms-enum:
name: EventType
modelAsString: true
values:
- value: message
description: Event only contains human readable messages.
- value: metrics
description: Event contains metrics.
File:
title: File
description: A file is a document usable for training and validation. It can also be a service generated document with result details.
required:
- filename
- purpose
type: object
properties:
object:
$ref: '#/definitions/TypeDiscriminator'
created_at:
format: unixtime
description: A timestamp when this job or item was created (in unix epochs).
type: integer
readOnly: true
id:
description: The identity of this item.
type: string
readOnly: true
status:
$ref: '#/definitions/FileState'
bytes:
format: int64
description: "The size of this file when available (can be null). File sizes larger than 2^53-1 are not supported to ensure compatibility\r\nwith JavaScript integers."
type: integer
readOnly: true
purpose:
$ref: '#/definitions/Purpose'
filename:
description: The name of the file.
minLength: 1
type: string
status_details:
description: The error message with details in case processing of this file failed.
type: string
readOnly: true
FileImport:
title: FileImport
description: Defines a document to import from an external content url to be usable with Azure OpenAI.
required:
- content_url
- filename
- purpose
type: object
properties:
purpose:
$ref: '#/definitions/Purpose'
filename:
description: "The name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded.\r\nIf the `purpose` is set to \"fine-tune\", each line is a JSON record with \"prompt\" and \"completion\" fields representing your training examples."
minLength: 1
type: string
content_url:
format: url
description: The url to download the document from (can be SAS url of a blob or any other external url accessible with a GET request).
type: string
FileList:
title: FileList
description: Represents a list of files.
type: object
properties:
object:
$ref: '#/definitions/TypeDiscriminator'
data:
description: The list of items.
type: array
items:
$ref: '#/definitions/File'
FileState:
title: FileState
description: The state of a file.
enum:
- uploaded
- pending
- running
- processed
- error
- deleting
- deleted
type: string
readOnly: true
x-ms-enum:
name: FileState
modelAsString: true
values:
- value: uploaded
description: The file has been uploaded but it's not yet processed. This state is not returned by Azure OpenAI and exposed only for compatibility. It can be categorized as an inactive state.
- value: pending
description: The operation was created and is not queued to be processed in the future. It can be categorized as an inactive state.
- value: running
description: The operation has started to be processed. It can be categorized as an active state.
- value: processed
description: The operation has successfully be processed and is ready for consumption. It can be categorized as a terminal state.
- value: error
description: The operation has completed processing with a failure and cannot be further consumed. It can be categorized as a terminal state.
- value: deleting
description: The entity is ni the process to be deleted. This state is not returned by Azure OpenAI and exposed only for compatibility. It can be categorized as an active state.
- value: deleted
description: The entity has been deleted but may still be referenced by other entities predating the deletion. It can be categorized as a terminal state.
FineTuningHyperParameters:
title: FineTuningHyperParameters
description: The hyper parameter settings used in a fine tune job.
type: object
properties:
n_epochs:
format: int32
description: The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
type: integer
batch_size:
format: int32
description: "The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass.\r\nIn general, we've found that larger batch sizes tend to work better for larger datasets.\r\nThe default value as well as the maximum value for this property are specific to a base model."
type: integer
learning_rate_multiplier:
format: double
description: "The learning rate multiplier to use for training. The fine-tuning learning rate is the original learning rate used for pre-training multiplied by this value.\r\nLarger learning rates tend to perform better with larger batch sizes.\r\nWe recommend experimenting with values in the range 0.02 to 0.2 to see what produces the best results."
type: number
FineTuningJob:
title: FineTuningJob
description: Defines the values of a fine tune job.
required:
- model
- training_file
type: object
properties:
object:
$ref: '#/definitions/TypeDiscriminator'
created_at:
format: unixtime
description: A timestamp when this job or item was created (in unix epochs).
type: integer
readOnly: true
id:
description: The identity of this item.
type: string
readOnly: true
status:
$ref: '#/definitions/FineTuningState'
model:
description: The identifier (model-id) of the base model used for the fine-tune.
minLength: 1
type: string
fine_tuned_model:
description: "The identifier (model-id) of the resulting fine tuned model. This property is only populated for successfully completed fine-tune runs.\r\nUse this identifier to create a deployment for inferencing."
type: string
training_file:
description: The file which is used for training.
minLength: 1
type: string
validation_file:
description: The file which is used to evaluate the fine tuned model during training.
type: string
result_files:
description: "The result file identities (file-id) containing training and evaluation metrics in csv format.\r\nThe file is only available for successfully completed fine-tune runs."
type: array
items:
type: string
finished_at:
format: int32
description: A timestamp when this job or item has finished successfully (in unix epochs).
type: integer
readOnly: true
organisation_id:
description: The organisation id of this fine tune job. Unused on Azure OpenAI; compatibility for OpenAI only.
type: string
trained_tokens:
format: int32
description: The total number of billable tokens processed by this fine tuning job.
type: integer
readOnly: true
hyperparameters:
$ref: '#/definitions/FineTuningHyperParameters'
suffix:
description: The suffix used to identify the fine-tuned model. The suffix can contain up to 40 characters (a-z, A-Z, 0-9,- and _) that will be added to your fine-tuned model name.
type: string
FineTuningJobCreation:
title: FineTuningJobCreation
description: Defines the values of a fine tune job.
required:
- model
- training_file
type: object
properties:
model:
description: The identifier (model-id) of the base model used for this fine-tune.
minLength: 1
type: string
training_file:
description: The file identity (file-id) that is used for training this fine tuned model.
minLength: 1
type: string
validation_file:
description: The file identity (file-id) that is used to evaluate the fine tuned model during training.
type: string
hyperparameters:
$ref: '#/definitions/FineTuningHyperParameters'
suffix:
description: The suffix used to identify the fine-tuned model. The suffix can contain up to 40 characters (a-z, A-Z, 0-9,- and _) that will be added to your fine-tuned model name.
type: string
FineTuningJobEvent:
title: FineTuningJobEvent
required:
- created_at
- level
- message
- type
type: object
properties:
object:
$ref: '#/definitions/TypeDiscriminator'
id:
description: The identity of this event.
type: string
readOnly: true
created_at:
format: unixtime
description: A timestamp when this event was created (in unix epochs).
type: integer
level:
$ref: '#/definitions/LogLevel'
message:
description: The message describing the event. This can be a change of state, e.g., enqueued, started, failed or completed, or other events like uploaded results.
minLength: 1
type: string
type:
$ref: '#/definitions/EventType'
data:
description: Machine readable data of this event.
FineTuningJobEventList:
title: FineTuningJobEventList
description: Represents a list of events.
type: object
properties:
object:
$ref: '#/definitions/TypeDiscriminator'
data:
description: The list of items.
type: array
items:
$ref: '#/definitions/FineTuningJobEvent'
has_more:
description: A value indicating whether the list of events contains more elements than returned.
type: boolean
FineTuningJobList:
title: FineTuningJobList
description: Represents a list of fine tunes.
type: object
properties:
object:
$ref: '#/definitions/TypeDiscriminator'
data:
description: The list of items.
type: array
items:
$ref: '#/definitions/FineTuningJob'
has_more:
description: A value indicating whether the list of events contains more elements than returned.
type: boolean
FineTuningState:
title: FineTuningState
description: The state of a finetunes object or fine tuning job.
enum:
- created
- pending
- running
- succeeded
- cancelled
- failed
type: string
readOnly: true
x-ms-enum:
name: FineTuningState
modelAsString: true
values:
- value: created
description: The operation was created. This state is not returned by Azure OpenAI and exposed only for compatibility. It can be categorized as an inactive state.
- value: pending
description: The operation is not yet queued to be processed in the future. It can be categorized as an inactive state.
- value: running
description: The operation has started to be processed. It can be categorized as an active state.
- value: succeeded
description: The operation has successfully be processed and is ready for consumption. It can be categorized as a terminal state.
- value: cancelled
description: The operation has been cancelled and is incomplete. It can be categorized as a terminal state.
- value: failed
description: The operation has completed processing with a failure and cannot be further consumed. It can be categorized as a terminal state.
InnerError:
title: InnerError
description: "Inner error as defined in the Microsoft REST guidelines\r\n(https://github.com/microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses)."
type: object
properties:
code:
$ref: '#/definitions/InnerErrorCode'
innererror:
$ref: '#/definitions/InnerError'
InnerErrorCode:
title: InnerErrorCode
description: "Inner error codes as defined in the Microsoft REST guidelines\r\n(https://github.com/microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses)."
enum:
- invalidPayload
type: string
x-ms-enum:
name: InnerErrorCode
modelAsString: true
values:
- value: invalidPayload
description: The request data is invalid for this operation.
LifeCycleStatus:
title: LifeCycleStatus
description: "The life cycle status of a model.\r\nNote: A model can be promoted from \"preview\" to \"generally-available\", but never from \"generally-available\" to \"preview\"."
enum:
- preview
- generally-available
type: string
x-ms-enum:
name: LifeCycleStatus
modelAsString: true
values:
- value: preview
description: Model is in preview and covered by the service preview terms.
- value: generally-available
description: Model is generally available.
LogLevel:
title: LogLevel
description: The verbosity level of an event.
enum:
- info
- warning
- error
type: string
x-ms-enum:
name: LogLevel
modelAsString: true
values:
- value: info
description: This event is for information only.
- value: warning
description: This event represents a mitigated issue.
- value: error
description: This message represents a non recoverable issue.
Model:
title: Model
description: A model is either a base model or the result of a successful fine tune job.
required:
- capabilities
- deprecation
- lifecycle_status
type: object
properties:
object:
$ref: '#/definitions/TypeDiscriminator'
created_at:
format: unixtime
description: A timestamp when this job or item was created (in unix epochs).
type: integer
readOnly: true
id:
description: The identity of this item.
type: string
readOnly: true
status:
$ref: '#/definitions/FineTuningState'
model:
description: The base model identity (model-id) if this is a fine tune model; otherwise `null`.
type: string
fine_tune:
description: The fine tune job identity (fine-tune-id) if this is a fine tune model; otherwise `null`.
type: string
capabilities:
$ref: '#/definitions/Capabilities'
lifecycle_status:
$ref: '#/definitions/LifeCycleStatus'
deprecation:
$ref: '#/definitions/Deprecation'
ModelList:
title: ModelList
description: Represents a list of models.
type: object
properties:
object:
$ref: '#/definitions/TypeDiscriminator'
data:
description: The list of items.
type: array
items:
$ref: '#/definitions/Model'
OperationState:
title: OperationState
description: The state of a job or item.
enum:
- notRunning
- running
- succeeded
- failed
type: string
readOnly: true
x-ms-enum:
name: OperationState
modelAsString: true
values:
- value: notRunning
description: The operation is not yet queued to be processed in the future.
- value: running
description: The operation has started to be processed.
- value: succeeded
description: The operation has successfully be processed and is ready for consumption.
- value: failed
description: The operation has completed processing with a failure and cannot be further consumed.
Purpose:
title: Purpose
description: The intended purpose of the uploaded documents. Use "fine-tune" for fine-tuning. This allows us to validate the format of the uploaded file.
enum:
- fine-tune
- fine-tune-results
- assistants
- assistants_output
type: string
x-ms-enum:
name: Purpose
modelAsString: true
values:
- value: fine-tune
description: This file contains training data for a fine tune job.
- value: fine-tune-results
description: This file contains the results of a fine tune job.
- value: assistants
description: This file contains data to be used in assistants.
- value: assistants_output
description: This file contains the results of an assistant.
TypeDiscriminator:
title: TypeDiscriminator
description: Defines the type of an object.
enum:
- list
- fine_tuning.job
- file
- fine_tuning.job.event
- model
type: string
readOnly: true
x-ms-enum:
name: TypeDiscriminator
modelAsString: true
values:
- value: list
description: This object represents a list of other objects.
- value: fine_tuning.job
description: This object represents a fine tune job.
- value: file
description: This object represents a file.
- value: fine_tuning.job.event
description: This object represents an event of a fine tuning job.
- value: model
description: This object represents a model (can be a base model or fine tune job result).
parameters:
endpoint:
in: path
name: endpoint
description: 'Supported Cognitive Services endpoints (protocol and hostname, for example: https://aoairesource.openai.azure.com. Replace "aoairesource" with your Azure OpenAI account name).'
required: true
type: string
format: url
x-ms-skip-url-encoding: true
x-ms-parameter-location: client
apiVersionQueryParameter:
in: query
name: api-version
description: The requested API version.
required: true
type: string
x-ms-client-default: 2024-02-15-preview
x-ms-parameter-location: client
securityDefinitions:
api-key:
type: apiKey
name: api-key
in: header
description: Provide your Cognitive Services Azure OpenAI account key here.
security:
- api-key: []
schemes:
- https
x-ms-parameterized-host:
hostTemplate: '{endpoint}/openai'
useSchemePrefix: false
parameters:
- $ref: '#/parameters/endpoint'