Response Returns the same Response object as the Create response API. The fields are described below: id string Unique identifier for this response, in the format resp_xxx. object string Object type. Always response. status string Response status. Possible values: completed, failed, in_progress, cancelled, queued, incomplete. created_at integer Unix timestamp (in seconds) when the response was created. completed_at integer Unix timestamp (in seconds) when the response finished generating. null if the response is not complete. error object Error object returned when the model fails to generate a response. null on success. model string Model ID used to generate the response. output array Output items generated by the model. The type and order of elements depend on the model's response. Array element properties type string Output item type. Possible values:
message: Message containing the model's final reply.reasoning: Reasoning output. Returned when reasoning.effort is set to a value other than none or when thinking mode is enabled. Reasoning tokens are counted in output_tokens_details.reasoning_tokens and billed accordingly.function_call: Function call output. Returned when using a custom function tool. You must handle the function call and return a result.web_search_call: Web search call output. Returned when using the web_search tool.code_interpreter_call: Code execution output. Returned when using the code_interpreter tool.web_extractor_call: Web extraction output. Returned when using the web_extractor tool. Must be used together with the web_search tool.web_search_image_call: Text-to-image search call output. Returned when using the web_search_image tool. Contains a list of images found.image_search_call: Image-to-image search call output. Returned when using the image_search tool. Contains a list of similar images found.mcp_call: MCP call output. Returned when using the mcp tool. Contains the result from the MCP service.file_search_call: Knowledge base search call output. Returned when using the file_search tool. Contains retrieval queries and results from the knowledge base. id string Unique identifier for the output item. Present for all output types. role string Message role. Always assistant. Present only when type is message. status string Output item status. Possible values: completed, in_progress. Present when type is not reasoning. name string Tool or function name. Present when type is function_call, web_search_image_call, image_search_call, or mcp_call. For web_search_image_call and image_search_call, the value is fixed as "web_search_image" and "image_search", respectively. For mcp_call, the value is the specific function name called in the MCP service (for example, amap-maps-maps_geo). arguments string Tool call arguments, formatted as a JSON string. Present when type is function_call, web_search_image_call, image_search_call, or mcp_call. Parse it using JSON.parse() before use. Contents vary by tool type:
web_search_image_call: {"queries": ["search keyword 1", "search keyword 2"]}. The queries field contains a list of search keywords automatically generated by the model based on user input.image_search_call: {"img_idx": 0, "bbox": [0, 0, 1000, 1000]}. The img_idx field is the index of the input image (starting from 0). The bbox field contains the bounding box coordinates [x1, y1, x2, y2] of the search area, with values ranging from 0 to 1000.function_call: An argument object generated according to the user-defined function parameter schema.mcp_call: An argument object for the function called in the MCP service. call_id string Unique identifier for the function call. Present only when type is function_call. Use this ID to associate the request with the response when returning function call results. content array Message content array. Present only when type is message. Array element properties type string Content type. Always output_text. text string Text content generated by the model. annotations array Text annotations. Usually an empty array. summary array Reasoning summaries. Present only when type is reasoning. Each element contains a type field (value summary_text) and a text field (the summary text). action object Search action information. Present only when type is web_search_call. Properties query string Search query keyword. type string Search type. Always search. sources array Search sources. Each element contains a type field and a url field. code string Code generated and executed by the model. Present only when type is code_interpreter_call. outputs array Code execution outputs. Present only when type is code_interpreter_call. Each element contains a type field (value logs) and a logs field (code execution logs). container_id string Code interpreter container identifier. Present only when type is code_interpreter_call. Use it to associate multiple code executions within the same session. goal string Description of the extraction goal, specifying what information to extract from the webpage. Present only when type is web_extractor_call. output string Output result of the tool call, formatted as a string.
- When
type is web_extractor_call, this field contains a summary of the extracted webpage content.
- When
type is web_search_image_call or image_search_call, this field is a JSON string containing an array of image search results. Each result includes a title (image title), url (image URL), and index (ordinal number) field.
- When
type is mcp_call, this field is a JSON string result returned by the MCP service.
urls array URLs of the webpages extracted. Present only when type is web_extractor_call. server_label string MCP service label. Present only when type is mcp_call. Identifies the MCP service used for this call. queries array Queries used for knowledge base retrieval. Present only when type is file_search_call. Each element is a search query generated by the model. results array Knowledge base retrieval results. Present only when type is file_search_call. Array element properties file_id string File ID of the matched document. filename string Filename of the matched document. score float Relevance score, ranging from 0 to 1. Higher values indicate greater relevance. text string Snippet of the matched document content. usage object Token usage information for this request. Properties input_tokens integer Number of input tokens. output_tokens integer Number of output tokens generated by the model. total_tokens integer Total tokens used (input_tokens + output_tokens). input_tokens_details object Breakdown of input tokens. Properties cached_tokens integer Number of cached tokens. output_tokens_details object Breakdown of output tokens. Properties reasoning_tokens integer Number of reasoning tokens. x_details array Billing details. Properties input_tokens integer Input tokens for this billing type. output_tokens integer Output tokens for this billing type. total_tokens integer Total tokens for this billing type. x_billing_type string Always response_api. prompt_tokens_details object Returned when session caching is enabled. Contains a cached_tokens field (number of cached tokens). x_tools object Tool usage statistics. When built-in tools are used, this field contains the call count for each tool. Example: {"web_search": {"count": 1}} tools array Echoes the tools parameter from the creation request. Structure matches the tools parameter in the request body. Empty array [] if no tools were used. tool_choice string Echoes the tool_choice parameter from the creation request. Possible values: auto, none, required. parallel_tool_calls boolean Echoes the parallel_tool_calls parameter from the creation request. Indicates whether the model can call multiple tools in parallel. temperature float Echoes the temperature parameter from the creation request. Controls the diversity of model output. Valid range: [0, 2). Returns the model default if not set. top_p float Echoes the top_p parameter from the creation request. Nucleus sampling probability threshold. Valid range: (0, 1.0]. Returns the model default if not set. frequency_penalty float Echoes the frequency_penalty parameter from the creation request. Positive values reduce the likelihood of repeated words. presence_penalty float Echoes the presence_penalty parameter from the creation request. Positive values increase the likelihood of introducing new topics. top_logprobs integer Echoes the top_logprobs parameter from the creation request. Number of most likely tokens returned at each position. 0 if not enabled. store boolean Echoes the store parameter from the creation request. true means the response is stored and can be referenced by previous_response_id. false means it is not stored. service_tier string Service tier. Always default. background boolean Whether the response was executed asynchronously. Model Studio currently supports synchronous calls only, so this is always false. metadata object Echoes the metadata parameter from the creation request. Custom key-value pairs attached to the response. Empty object {} if not set. | {
"background": false,
"completed_at": 1778676420,
"created_at": 1778676418,
"frequency_penalty": 0.0,
"id": "resp_801bc2c4-93d9-910f-b35d-5274f5a737c1",
"metadata": {},
"model": "qwen-plus",
"object": "response",
"output": [
{
"content": [
{
"annotations": [],
"text": "Hello! Nice to meet you. How can I help you?",
"type": "output_text"
}
],
"id": "msg_8c54756c-9b65-4a95-81d7-4276d91406db",
"role": "assistant",
"status": "completed",
"type": "message"
}
],
"parallel_tool_calls": true,
"presence_penalty": 0.0,
"service_tier": "default",
"status": "completed",
"store": true,
"temperature": 1.0,
"tool_choice": "auto",
"tools": [],
"top_logprobs": 0,
"top_p": 1.0,
"usage": {
"input_tokens": 45,
"input_tokens_details": {
"cached_tokens": 0
},
"output_tokens": 63,
"output_tokens_details": {
"reasoning_tokens": 0
},
"total_tokens": 108,
"x_details": [
{
"input_tokens": 45,
"output_tokens": 63,
"prompt_tokens_details": {
"cached_tokens": 0
},
"total_tokens": 108,
"x_billing_type": "response_api"
}
]
}
}
|