API Reference

Responses

Input Items

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List input items

InputItemListPage responses().inputItems().list(InputItemListParamsparams = InputItemListParams.none(), RequestOptionsrequestOptions = RequestOptions.none())

GET/responses/{response_id}/input_items

Returns a list of input items for a given response.

ParametersExpand Collapse

InputItemListParams params

Optional<String> responseId

Optional<String> after

An item ID to list items after, used in pagination.

Optional<List<ResponseIncludable>> include

Additional fields to include in the response. See the include parameter for Response creation above for more information.

Optional<Long> limit

A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.

Optional<Order> order

The order to return the input items in. Default is desc.

• asc: Return the input items in ascending order.
• desc: Return the input items in descending order.

ReturnsExpand Collapse

class ResponseItem: A class that can be one of several variants.union

Content item used to generate a response.

class ResponseInputMessageItem:

class ResponseOutputMessage:

An output message from the model.

class ResponseFileSearchToolCall:

The results of a file search tool call. See the file search guide for more information.

class ResponseComputerToolCall:

A tool call to a computer use tool. See the computer use guide for more information.

class ResponseComputerToolCallOutputItem:

class ResponseFunctionWebSearch:

The results of a web search tool call. See the web search guide for more information.

class ResponseFunctionToolCallItem:

A tool call to run a function. See the function calling guide for more information.

class ResponseFunctionToolCallOutputItem:

class ResponseToolSearchCall:

class ResponseToolSearchOutputItem:

AdditionalTools

class ResponseReasoningItem:

A description of the chain of thought used by a reasoning model while generating a response. Be sure to include these items in your input to the Responses API for subsequent turns of a conversation if you are manually managing context.

Program

ProgramOutput

class ResponseCompactionItem:

A compaction item generated by the v1/responses/compact API.

ImageGenerationCall

class ResponseCodeInterpreterToolCall:

A tool call to run code.

LocalShellCall

LocalShellCallOutput

class ResponseFunctionShellToolCall:

A tool call that executes one or more shell commands in a managed environment.

class ResponseFunctionShellToolCallOutput:

The output of a shell tool call that was emitted.

class ResponseApplyPatchToolCall:

A tool call that applies file diffs by creating, deleting, or updating files.

class ResponseApplyPatchToolCallOutput:

The output emitted by an apply patch tool call.

McpListTools

McpApprovalRequest

McpApprovalResponse

McpCall

class ResponseCustomToolCallItem:

A call to a custom tool created by the model.

class ResponseCustomToolCallOutputItem:

The output of a custom tool call from your code, being sent back to the model.

List input items

Java

HTTP

Python

TypeScript

Go

Ruby

Java

CLI Tool

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.responses.inputitems.InputItemListPage;
import com.openai.models.responses.inputitems.InputItemListParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        InputItemListPage page = client.responses().inputItems().list("response_id");
    }
}

{
  "object": "list",
  "data": [
    {
      "id": "msg_abc123",
      "type": "message",
      "role": "user",
      "content": [
        {
          "type": "input_text",
          "text": "Tell me a three sentence bedtime story about a unicorn."
        }
      ]
    }
  ],
  "first_id": "msg_abc123",
  "last_id": "msg_abc123",
  "has_more": false
}

Returns Examples

{
  "object": "list",
  "data": [
    {
      "id": "msg_abc123",
      "type": "message",
      "role": "user",
      "content": [
        {
          "type": "input_text",
          "text": "Tell me a three sentence bedtime story about a unicorn."
        }
      ]
    }
  ],
  "first_id": "msg_abc123",
  "last_id": "msg_abc123",
  "has_more": false
}