Gets a list of all batches owned by the Azure OpenAI resource.

Creates and executes a batch from an uploaded file of requests.

Creates and executes a batch from an uploaded file of requests. Response includes details of the enqueued job including job status. The ID of the result file is added to the response once complete.

Gets details for a single batch specified by the given batch-id.

Cancels the processing of the batch specified by the given batch-id.

Gets a list of all files owned by the Azure OpenAI resource.

Gets a list of all files owned by the Azure OpenAI resource. These include user uploaded content like files with purpose "fine-tune" for training or validation of fine-tunes models as well as files that are generated by the service such as "fine-tune-results" which contains various metrics for the corresponding fine-tune job.

Creates a new file entity by uploading data from a local machine.

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.

Creates a new file entity by importing data from a provided url.

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.

Gets details for a single file.

Gets details for a single file specified by the given file-id including status, size, purpose, etc.

Deletes the file with the given file-id.

Deletes the file with the given file-id. Deletion is also allowed if a file was used, e.g., as training file in a fine-tune job.

Gets the content of the file specified by the given file-id.

Gets the content of the file specified by the given file-id. Files can be user uploaded content or generated by the service like result metrics of a fine-tune job.

Gets a list of all fine-tune jobs owned by the Azure OpenAI resource.

Gets a list of all fine-tune jobs owned by the Azure OpenAI resource. The details that are returned for each fine-tune job contain besides its identifier the base model, training and validation files, hyper parameters, time stamps, status and events. Events are created when the job status changes, e.g. running or complete, and when results are uploaded.

Creates a job that fine-tunes a specified model from a given training file.

Creates a job that fine-tunes a specified model from a given training file. Response includes details of the enqueued job including job status and hyper parameters. The name of the fine-tuned model is added to the response once complete.

Gets details for a single fine-tune job specified by the given fine-tune-id.

Gets details for a single fine-tune job specified by the given fine-tune-id. The details contain the base model, training and validation files, hyper parameters, time stamps, status and events. Events are created when the job status changes, e.g. running or complete, and when results are uploaded.

Deletes the fine-tune job specified by the given fine-tune-id.

Cancels the processing of the fine-tune job specified by the given fine-tune-id.

Gets the checkpoints for the fine-tune job specified by the given fine-tune-id.

Gets the checkpoints for the fine-tune job specified by the given fine-tune-id. Checkpoints are created at the end of successful epochs during training.

Gets the events for the fine-tune job specified by the given fine-tune-id.

Gets the events for the fine-tune job specified by the given fine-tune-id. Events are created when the job status changes, e.g. running or complete, and when results are uploaded.

Gets a list of all models that are accessible by the Azure OpenAI resource.

Gets a list of all models that are accessible by the Azure OpenAI resource. These include base models as well as all successfully completed fine-tuned models owned by the Azure OpenAI resource.

Gets details for the model specified by the given modelId.

An intermediate Upload object is created, allowing you to add Parts to it.

An intermediate Upload object is created, allowing you to add Parts to it. Currently, an Upload size can be a maximum of 9 GB in total and will expire two hours after being created. After the Upload is completed a File object will be generated, containing all the uploaded parts. This File object can then be used across our platform just like any other file.

Cancels the Upload, and will lead to all uploaded parts to be deleted asynchronously.

Cancels the Upload, and will lead to all uploaded parts to be deleted asynchronously. No Parts may be added after an Upload is cancelled.

This completes the Upload, and the returned Upload object contains a nested File object that is ready for use across the platform.

This completes the Upload, and the returned Upload object contains a nested File object that is ready for use across the platform. You can define the order of the Parts by providing an ordered list of Part IDs. The total number of bytes uploaded must match the size originally specified when creating the Upload object. After this operation no additional Parts can be added once the Upload is completed.

Adds a Part to an Upload object, where each Part represents a segment of the file you are uploading.

Adds a Part to an Upload object, where each Part represents a segment of the file you are uploading. Each Part can be up to the standard size limit for file upload, based on the File Purpose. You can continue adding Parts until reaching the Upload size limit of 9 GB.

Transcribes audio into the input language.

Transcribes and translates input audio into English text.

Creates a completion for the chat message

Creates a completion for the provided prompt, parameters and chosen model.

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.

Generates a batch of images from a text caption on a given DALLE model deployment