Create Response

Creates a model response. Provide text or image inputs to generate text or JSON outputs. Have the model call your own custom code or use built-in tools like web search or file search to use your own data as input for the model's response.

Options

Body

Result Format

Specify how the response should be mapped to the table output. The following formats are available:

Structured Table: Returns a parsed table with data split into rows and columns.

• Metadata:

  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.

• Top Logprobs: An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability.
• Temperature: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or top_p but not both.
• Top P:

  An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

  We generally recommend altering this or temperature but not both.

• User: This field is being replaced by safety_identifier and prompt_cache_key. Use prompt_cache_key instead to maintain caching optimizations. A stable identifier for your end-users. Used to boost cache hit rates by better bucketing similar requests and to help OpenAI detect and prevent abuse. Learn more.
• Safety Identifier: A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies. The IDs should be a string that uniquely identifies each user. We recommend hashing their username or email address, in order to avoid sending us any identifying information. Learn more.
• Prompt Cache Key: Used by OpenAI to cache responses for similar requests to optimize your cache hit rates. Replaces the user field. Learn more.
• Service Tier:

  Specifies the processing type used for serving the request.

  • If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'.
  • If set to 'default', then the request will be processed with the standard pricing and performance for the selected model.
  • If set to 'flex' or 'priority', then the request will be processed with the corresponding service tier.
  • When not set, the default behavior is 'auto'.

  When the service_tier parameter is set, the response body will include the service_tier value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter.

• Previous Response Id: The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about conversation state. Cannot be used in conjunction with conversation.
• Model:
• Reasoning:

  gpt-5 and o-series models only

  Configuration options for reasoning models.

• Background: Whether to run the model response in the background. Learn more.
• Max Output Tokens: An upper bound for the number of tokens that can be generated for a response, including visible output tokens and reasoning tokens.
• Max Tool Calls: The maximum number of total calls to built-in tools that can be processed in a response. This maximum number applies across all built-in tool calls, not per individual tool. Any further attempts to call a tool by the model will be ignored.
• Text:

  Configuration options for a text response from the model. Can be plain text or structured JSON data. Learn more:

  • Text inputs and outputs
  • Structured Outputs
• Tools:

  An array of tools the model may call while generating a response. You can specify which tool to use by setting the tool_choice parameter.

  The two categories of tools you can provide the model are:

  • Built-in tools: Tools that are provided by OpenAI that extend the model's capabilities, like web search or file search. Learn more about built-in tools.
  • Function calls (custom tools): Functions that are defined by you, enabling the model to call your own code with strongly typed arguments and outputs. Learn more about function calling. You can also use custom tools to call your own code.
• Tool Choice: How the model should select which tool (or tools) to use when generating a response. See the tools parameter to see how to specify which tools the model can call.
• Prompt: Reference to a prompt template and its variables. Learn more.
• Truncation:

  The truncation strategy to use for the model response.

  • auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation.
  • disabled (default): If a model response will exceed the context window size for a model, the request will fail with a 400 error.
• Id: Unique identifier for this Response.
• Object: The object type of this resource - always set to response.
• Status: The status of the response generation. One of completed, failed, in_progress, cancelled, queued, or incomplete.
• Created At: Unix timestamp (in seconds) of when this Response was created.
• Error: An error object returned when the model fails to generate a Response.
• Incomplete Details: Details about why the response is incomplete.
• Output:

  An array of content items generated by the model.

  • The length and order of items in the output array is dependent on the model's response.
  • Rather than accessing the first item in the output array and assuming it's an assistant message with the content generated by the model, you might consider using the output_text property where supported in SDKs.
• Instructions:

  A system (or developer) message inserted into the model's context.

  When using along with previous_response_id, the instructions from a previous response will not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.

• Output Text: SDK-only convenience property that contains the aggregated text output from all output_text items in the output array, if any are present. Supported in the Python and JavaScript SDKs.
• Usage: Represents token usage details including input tokens, output tokens, a breakdown of output tokens, and the total tokens used.
• Parallel Tool Calls: Whether to allow the model to run tool calls in parallel.
• Conversation: The conversation that this response belongs to. Input items and output items from this response are automatically added to this conversation.

Raw Response: Returns the raw response in a single row with the following columns:

• body: Response body
• status: HTTP status code

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