API Reference

Responses

Input Items

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List input items

client.Responses.InputItems.List(ctx, responseID, query) (*CursorPage[ResponseItemUnion], error)

GET/responses/{response_id}/input_items

Returns a list of input items for a given response.

ParametersExpand Collapse

responseID string

query InputItemListParams

ReturnsExpand Collapse

type ResponseItemUnion interface{…}

Content item used to generate a response.

One of the following:

type ResponseInputMessageItem struct{…}

type ResponseOutputMessage struct{…}

An output message from the model.

type ResponseFileSearchToolCall struct{…}

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

type ResponseComputerToolCall struct{…}

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

type ResponseComputerToolCallOutputItem struct{…}

type ResponseFunctionWebSearch struct{…}

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

type ResponseFunctionToolCallItem struct{…}

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

type ResponseFunctionToolCallOutputItem struct{…}

type ResponseToolSearchCall struct{…}

type ResponseToolSearchOutputItem struct{…}

type ResponseItemAdditionalTools struct{…}

type ResponseReasoningItem struct{…}

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.

type ResponseItemProgram struct{…}

type ResponseItemProgramOutput struct{…}

type ResponseCompactionItem struct{…}

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

type ResponseItemImageGenerationCall struct{…}

An image generation request made by the model.

type ResponseCodeInterpreterToolCall struct{…}

A tool call to run code.

type ResponseItemLocalShellCall struct{…}

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

type ResponseItemLocalShellCallOutput struct{…}

The output of a local shell tool call.

type ResponseFunctionShellToolCall struct{…}

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

type ResponseFunctionShellToolCallOutput struct{…}

The output of a shell tool call that was emitted.

type ResponseApplyPatchToolCall struct{…}

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

type ResponseApplyPatchToolCallOutput struct{…}

The output emitted by an apply patch tool call.

type ResponseItemMcpListTools struct{…}

A list of tools available on an MCP server.

type ResponseItemMcpApprovalRequest struct{…}

A request for human approval of a tool invocation.

type ResponseItemMcpApprovalResponse struct{…}

A response to an MCP approval request.

type ResponseItemMcpCall struct{…}

An invocation of a tool on an MCP server.

type ResponseCustomToolCallItem struct{…}

A call to a custom tool created by the model.

type ResponseCustomToolCallOutputItem struct{…}

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

List input items

Go

HTTP

Python

TypeScript

Go

Ruby

Java

CLI Tool

package main

import (
  "context"
  "fmt"

  "github.com/openai/openai-go"
  "github.com/openai/openai-go/option"
  "github.com/openai/openai-go/responses"
)

func main() {
  client := openai.NewClient(
    option.WithAPIKey("My API Key"),
  )
  page, err := client.Responses.InputItems.List(
    context.TODO(),
    "response_id",
    responses.InputItemListParams{

    },
  )
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", page)
}

{
  "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
}