> ## Documentation Index > Fetch the complete documentation index at: https://openai-hd4n6.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Retrieve batch > Retrieves a batch. ## OpenAPI ````yaml api-definition.yaml get /batches/{batch_id} openapi: 3.0.0 info: title: OpenAI API description: >- The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details. version: 2.3.0 termsOfService: https://openai.com/policies/terms-of-use contact: name: OpenAI Support url: https://help.openai.com/ license: name: MIT url: https://github.com/openai/openai-openapi/blob/master/LICENSE servers: - url: https://api.openai.com/v1 security: - ApiKeyAuth: [] tags: - name: Assistants description: Build Assistants that can call models and use tools. - name: Audio description: Turn audio into text or text into audio. - name: Chat description: >- Given a list of messages comprising a conversation, the model will return a response. - name: Completions description: >- Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position. - name: Embeddings description: >- Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. - name: Evals description: Manage and run evals in the OpenAI platform. - name: Fine-tuning description: Manage fine-tuning jobs to tailor a model to your specific training data. - name: Batch description: Create large batches of API requests to run asynchronously. - name: Files description: >- Files are used to upload documents that can be used with features like Assistants and Fine-tuning. - name: Uploads description: Use Uploads to upload large files in multiple parts. - name: Images description: Given a prompt and/or an input image, the model will generate a new image. - name: Models description: List and describe the various models available in the API. - name: Moderations description: >- Given text and/or image inputs, classifies if those inputs are potentially harmful. - name: Audit Logs description: List user actions and configuration changes within this organization. paths: /batches/{batch_id}: get: tags: - Batch summary: Retrieve batch description: Retrieves a batch. operationId: retrieveBatch parameters: - in: path name: batch_id required: true schema: type: string description: The ID of the batch to retrieve. responses: '200': description: Batch retrieved successfully. content: application/json: schema: $ref: '#/components/schemas/Batch' components: schemas: Batch: type: object properties: id: type: string object: type: string enum: - batch description: The object type, which is always `batch`. x-stainless-const: true endpoint: type: string description: The OpenAI API endpoint used by the batch. errors: type: object properties: object: type: string description: The object type, which is always `list`. data: type: array items: type: object properties: code: type: string description: An error code identifying the error type. message: type: string description: >- A human-readable message providing more details about the error. param: type: string description: >- The name of the parameter that caused the error, if applicable. nullable: true line: type: integer description: >- The line number of the input file where the error occurred, if applicable. nullable: true input_file_id: type: string description: The ID of the input file for the batch. completion_window: type: string description: The time frame within which the batch should be processed. status: type: string description: The current status of the batch. enum: - validating - failed - in_progress - finalizing - completed - expired - cancelling - cancelled output_file_id: type: string description: >- The ID of the file containing the outputs of successfully executed requests. error_file_id: type: string description: The ID of the file containing the outputs of requests with errors. created_at: type: integer description: The Unix timestamp (in seconds) for when the batch was created. in_progress_at: type: integer description: >- The Unix timestamp (in seconds) for when the batch started processing. expires_at: type: integer description: The Unix timestamp (in seconds) for when the batch will expire. finalizing_at: type: integer description: >- The Unix timestamp (in seconds) for when the batch started finalizing. completed_at: type: integer description: The Unix timestamp (in seconds) for when the batch was completed. failed_at: type: integer description: The Unix timestamp (in seconds) for when the batch failed. expired_at: type: integer description: The Unix timestamp (in seconds) for when the batch expired. cancelling_at: type: integer description: >- The Unix timestamp (in seconds) for when the batch started cancelling. cancelled_at: type: integer description: The Unix timestamp (in seconds) for when the batch was cancelled. request_counts: type: object properties: total: type: integer description: Total number of requests in the batch. completed: type: integer description: Number of requests that have been completed successfully. failed: type: integer description: Number of requests that have failed. required: - total - completed - failed description: The request counts for different statuses within the batch. metadata: $ref: '#/components/schemas/Metadata' required: - id - object - endpoint - input_file_id - completion_window - status - created_at x-oaiMeta: name: The batch object example: | { "id": "batch_abc123", "object": "batch", "endpoint": "/v1/completions", "errors": null, "input_file_id": "file-abc123", "completion_window": "24h", "status": "completed", "output_file_id": "file-cvaTdG", "error_file_id": "file-HOWS94", "created_at": 1711471533, "in_progress_at": 1711471538, "expires_at": 1711557933, "finalizing_at": 1711493133, "completed_at": 1711493163, "failed_at": null, "expired_at": null, "cancelling_at": null, "cancelled_at": null, "request_counts": { "total": 100, "completed": 95, "failed": 5 }, "metadata": { "customer_id": "user_123456789", "batch_description": "Nightly eval job", } } Metadata: type: object description: > Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters. additionalProperties: type: string x-oaiTypeLabel: map nullable: true securitySchemes: ApiKeyAuth: type: http scheme: bearer ````