API Reference

Responses

Input Items

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List input items

client.responses.inputItems.list(stringresponseID, InputItemListParams { after, include, limit, order } query?, RequestOptionsoptions?): CursorPage<ResponseItem>

GET/responses/{response_id}/input_items

Returns a list of input items for a given response.

ParametersExpand Collapse

responseID: string

query: InputItemListParams { after, include, limit, order }

ReturnsExpand Collapse

ResponseItem = ResponseInputMessageItem { id, content, role, 2 more } | ResponseOutputMessage { id, content, role, 3 more } | ResponseFileSearchToolCall { id, queries, status, 2 more } | 26 more

Content item used to generate a response.

One of the following:

ResponseInputMessageItem { id, content, role, 2 more }

ResponseOutputMessage { id, content, role, 3 more }

An output message from the model.

ResponseFileSearchToolCall { id, queries, status, 2 more }

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

ResponseComputerToolCall { id, call_id, pending_safety_checks, 4 more }

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

ResponseComputerToolCallOutputItem { id, call_id, output, 4 more }

ResponseFunctionWebSearch { id, action, status, type }

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

ResponseFunctionToolCallItem extends ResponseFunctionToolCall { arguments, call_id, name, 5 more } { id, status, created_by }

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

ResponseFunctionToolCallOutputItem { id, call_id, output, 6 more }

ResponseToolSearchCall { id, arguments, call_id, 4 more }

ResponseToolSearchOutputItem { id, call_id, execution, 4 more }

AdditionalTools { id, role, tools, type }

ResponseReasoningItem { id, summary, type, 3 more }

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 { id, call_id, code, 2 more }

ProgramOutput { id, call_id, result, 2 more }

ResponseCompactionItem { id, encrypted_content, type, created_by }

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

ImageGenerationCall { id, result, status, type }

An image generation request made by the model.

ResponseCodeInterpreterToolCall { id, code, container_id, 3 more }

A tool call to run code.

LocalShellCall { id, action, call_id, 2 more }

A tool call to run a command on the local shell.

LocalShellCallOutput { id, output, type, status }

The output of a local shell tool call.

ResponseFunctionShellToolCall { id, action, call_id, 5 more }

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

ResponseFunctionShellToolCallOutput { id, call_id, max_output_length, 5 more }

The output of a shell tool call that was emitted.

ResponseApplyPatchToolCall { id, call_id, operation, 4 more }

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

ResponseApplyPatchToolCallOutput { id, call_id, status, 4 more }

The output emitted by an apply patch tool call.

McpListTools { id, server_label, tools, 2 more }

A list of tools available on an MCP server.

McpApprovalRequest { id, arguments, name, 2 more }

A request for human approval of a tool invocation.

McpApprovalResponse { id, approval_request_id, approve, 2 more }

A response to an MCP approval request.

McpCall { id, arguments, name, 6 more }

An invocation of a tool on an MCP server.

ResponseCustomToolCallItem extends ResponseCustomToolCall { call_id, input, name, 4 more } { id, status, created_by }

A call to a custom tool created by the model.

ResponseCustomToolCallOutputItem extends ResponseCustomToolCallOutput { call_id, output, type, 2 more } { id, status, created_by }

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

List input items

TypeScript

HTTP

Python

TypeScript

Go

Ruby

Java

CLI Tool

import OpenAI from "openai";
const client = new OpenAI();

const response = await client.responses.inputItems.list("resp_123");
console.log(response.data);

{
  "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
}