specification/cognitiveservices/data-plane/AzureOpenAI/authoring/stable/2024-02-01/azureopenai.yaml (1,059 lines of code) (raw):

swagger: '2.0' info: title: Azure OpenAI API version 2024-02-01 description: APIs for fine-tuning and managing deployments of OpenAI models. version: 2024-02-01 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 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. - $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 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. - 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' readOnly: true 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 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. 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: 2024-02-01 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'