> ## Documentation Index > Fetch the complete documentation index at: https://azure-foundry.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Get responses input items > Returns a list of input items for a given response. ## OpenAPI ````yaml api-reference/openai-v1.yaml get /responses/{response_id}/input_items openapi: 3.0.0 info: title: Azure AI Foundry Models Service license: name: MIT url: https://github.com/openai/openai-openapi/blob/master/LICENSE version: v1 servers: - url: '{endpoint}/openai/v1' description: Azure AI Foundry Models APIs variables: endpoint: default: '' description: >- A supported Azure AI Foundry Models APIs endpoint, including protocol and hostname. For example: https://westus.api.cognitive.microsoft.com). security: - ApiKeyAuth: [] - ApiKeyAuth_: [] - OAuth2Auth: - https://cognitiveservices.azure.com/.default tags: - name: Chat - name: Embeddings - name: Evals - name: Files - name: Fine-tuning - name: Models - name: Responses - name: Vector Stores paths: /responses/{response_id}/input_items: get: tags: - Responses description: Returns a list of input items for a given response. operationId: listInputItems parameters: - name: api-version in: query required: false description: >- The explicit Azure AI Foundry Models API version to use for this request. `v1` if not otherwise specified. schema: $ref: '#/components/schemas/AzureAIFoundryModelsApiVersion' default: v1 - name: response_id in: path required: true schema: type: string - name: limit in: query required: false description: >- A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20. schema: type: integer format: int32 default: 20 explode: false - name: order in: query required: false description: >- Sort order by the `created_at` timestamp of the objects. `asc` for ascending order and`desc` for descending order. schema: type: string enum: - asc - desc explode: false - name: after in: query required: false description: >- A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. schema: type: string explode: false - name: before in: query required: false description: >- A cursor for use in pagination. `before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list. schema: type: string explode: false responses: '200': description: The request has succeeded. headers: apim-request-id: required: false description: A request ID used for troubleshooting purposes. schema: type: string content: application/json: schema: $ref: '#/components/schemas/OpenAI.ResponseItemList' default: description: An unexpected error response. headers: apim-request-id: required: false description: A request ID used for troubleshooting purposes. schema: type: string content: application/json: schema: $ref: '#/components/schemas/AzureErrorResponse' components: schemas: AzureAIFoundryModelsApiVersion: type: string enum: - v1 - preview OpenAI.ResponseItemList: type: object required: - object - data - has_more - first_id - last_id properties: object: type: string enum: - list description: The type of object returned, must be `list`. data: type: array items: $ref: '#/components/schemas/OpenAI.ItemResource' description: A list of items used to generate this response. has_more: type: boolean description: Whether there are more items available. first_id: type: string description: The ID of the first item in the list. last_id: type: string description: The ID of the last item in the list. description: A list of Response items. AzureErrorResponse: type: object properties: error: type: object properties: code: type: string description: The distinct, machine-generated identifier for the error. message: type: string description: A human-readable message associated with the error. param: type: string description: >- If applicable, the request input parameter associated with the error type: type: string enum: - error description: The object type, always 'error.' inner_error: {} description: The error details. OpenAI.ItemResource: type: object required: - type - id properties: type: $ref: '#/components/schemas/OpenAI.ItemType' id: type: string discriminator: propertyName: type mapping: file_search_call: '#/components/schemas/OpenAI.FileSearchToolCallItemResource' computer_call: '#/components/schemas/OpenAI.ComputerToolCallItemResource' computer_call_output: '#/components/schemas/OpenAI.ComputerToolCallOutputItemResource' web_search_call: '#/components/schemas/OpenAI.WebSearchToolCallItemResource' function_call: '#/components/schemas/OpenAI.FunctionToolCallItemResource' function_call_output: '#/components/schemas/OpenAI.FunctionToolCallOutputItemResource' reasoning: '#/components/schemas/OpenAI.ReasoningItemResource' image_generation_call: '#/components/schemas/OpenAI.ImageGenToolCallItemResource' code_interpreter_call: '#/components/schemas/OpenAI.CodeInterpreterToolCallItemResource' local_shell_call: '#/components/schemas/OpenAI.LocalShellToolCallItemResource' local_shell_call_output: '#/components/schemas/OpenAI.LocalShellToolCallOutputItemResource' mcp_list_tools: '#/components/schemas/OpenAI.MCPListToolsItemResource' mcp_approval_request: '#/components/schemas/OpenAI.MCPApprovalRequestItemResource' mcp_approval_response: '#/components/schemas/OpenAI.MCPApprovalResponseItemResource' mcp_call: '#/components/schemas/OpenAI.MCPCallItemResource' message: '#/components/schemas/OpenAI.ResponsesMessageItemResource' description: Content item used to generate a response. OpenAI.ItemType: type: string enum: - message - file_search_call - function_call - function_call_output - computer_call - computer_call_output - web_search_call - reasoning - item_reference - image_generation_call - code_interpreter_call - local_shell_call - local_shell_call_output - mcp_list_tools - mcp_approval_request - mcp_approval_response - mcp_call securitySchemes: ApiKeyAuth: type: apiKey in: header name: api-key ApiKeyAuth_: type: apiKey in: header name: authorization OAuth2Auth: type: oauth2 flows: implicit: authorizationUrl: https://login.microsoftonline.com/common/oauth2/v2.0/authorize scopes: https://cognitiveservices.azure.com/.default: '' ````