GetTask API queries the status and result of a car buyer portrait task by using POST-Alibaba Cloud Model Studio(Model Studio)-阿里云帮助中心

This API reference describes how to query the status and result of a customer profile task.

Prerequisites

Activate the service and obtain and configure an API key. To prevent security risks from code leaks, configure the API key as an environment variable instead of hard coding it in your code.

NoteTo grant temporary access permissions to third-party applications or users, or want to strictly control risky operations such as accessing or deleting sensitive data, you can use a temporary authentication token.

Compared to a long-term API key, a temporary authentication token is valid for only a short period (60 seconds) and offers higher security. It is suitable for temporary call scenarios and can effectively reduce the risk of API key leaks.

Usage: In your code, replace the API key used for authentication with the obtained temporary authentication token.

Endpoint

https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation

Request method

POST

Request headers

Authorization: Bearer {api-key} // Replace {api-key} with your actual API key.
Content-Type: application/json

Get task result

Retrieves the result of a customer profile analysis task.

Request parameters

Name	Type	Required	Description	Example
model	string	Yes	The business type. Set the value to `tingwu-automotive-customer-profile`.	tingwu-automotive-customer-profile
input	object	Yes	Specify the relevant business parameters.
input.task	string	Yes	The task type. Set the value to `getTask` to get the task result.
input.dataId	string	Yes	The ID of the audio task to query.	wkb***

Response parameters

Name	Type	Description	Example/Parsing protocol
code	string	The error code.
message	string	The error message.
request_id	string	The request ID.	f97ee37d-0f9c-9b93-b6bf-bd263a232bf9
usage	object	The usage.	{}
output	object	The business response body.
output.status	string	The task status. 0: The task is successful. 1: The task is in progress. 2: The task failed.	0
output.errorCode	string	The error code returned when the task is submitted but fails to run. This parameter is returned only when `status` is 2.	"TSC.FileError"
output.errorMessage	string	The error message returned when the task is submitted but fails to run. This parameter is returned only when `status` is 2.	"File cannot be read."
output.customerProfilePath	string	The OSS URL of the analysis result. For more information, see Parsing protocol for output.customerProfilePath.	For information about the parsing protocols for the content of the files corresponding to the OSS URLs, see: Parsing protocol for output.customerProfilePath Parsing protocol for output.transcriptionPath Parsing protocol for output.identityRecognitionPath Parsing protocol for output.contentExtractionsPath
output.transcriptionPath	string	The OSS URL of the speech-to-text result. For more information, see Parsing protocol for output.transcriptionPath.
output.identityRecognitionPath	string	The OSS URL of the role recognition result. For more information, see Parsing protocol for output.identityRecognitionPath.
output.contentExtractionsPath	string	A collection of one or more OSS URLs for the extraction results of customer points of interest. For more information, see Parsing protocol for output.contentExtractionsPath.

Parsing protocol for output.transcriptionPath

The root element is an object. The following table describes its fields:

Name	Type	Description	Example
paragraphs	Array	A list of paragraphs.
paragraphs[0].paragraphId	String	The paragraph ID.	16987422100275*****
paragraphs[0].speakerId	String	The speaker ID.	1
paragraphs[0].words	Array	A list of words.
paragraphs[0].words[0].id	Integer	The word number.	10
paragraphs[0].words[0].sentenceId	Integer	The sentence ID.	1
paragraphs[0].words[0].start	Integer	The start time in milliseconds.	4970
paragraphs[0].words[0].end	Integer	The end time in milliseconds.	5560
paragraphs[0].words[0].text	String	The word text.	Hello,

The following is a JSON example:

{
  "paragraphs": [
    {
      "paragraphId": "16987422100275*******",
      "speakerId": "1",
      "words": [
        {
          "id": 10,
          "sentenceId": 1,
          "start": 4970,
          "end": 5560,
          "text": "Hello,"
        },
        {
          "id": 20,
          "sentenceId": 1,
          "start": 5730,
          "end": 6176,
          "text": "I am"
        }
      ]
    }
  ]
}

Parsing protocol for output.customerProfilePath

The root element is an object. The following table describes its fields:

Name	Type	Description	Example
saleClueClassify	Object	The sales lead classification.
saleClueClassify.classify	String	The lead category.	B
saleClueClassify.evidence	String	The basis for the classification.	The customer only expressed interest in learning about SUVs and had no clear intention to purchase a car.
customerNotMentioned	Integer	The number of items not mentioned by the customer.	46
tryDriveIntentionEvaluation	Object	The test drive intention assessment.
tryDriveIntentionEvaluation.score	Integer	The score.	0
tryDriveIntentionEvaluation.evidence	String	The basis for the assessment.	The customer did not mention any intention to take a test drive and only asked about the price.
customerConcerned	Integer	The number of customer points of interest.	4
oneSentenceSumUp	String	A summary of the customer's points of interest.	Customer's points of interest: SUV model, exterior design, interior quality, specific configurations, battery range, and estimated time of arrival at the store. Concerns: Price transparency during the purchase process, after-sales service, and whether the actual vehicle performance matches the advertisement.

The following is a JSON example:

{
  "saleClueClassify": {
    "classify": "B",
    "evidence": "The customer only expressed interest in learning about SUVs and had no clear intention to purchase a car."
  },
  "customerNotMentioned": 46,
  "tryDriveIntentionEvaluation": {
    "score": 0,
    "evidence": "The customer did not mention any intention to take a test drive and only asked about the price."
  },
  "customerConcerned": 4,
  "oneSentenceSumUp": "Customer's points of interest: SUV model, exterior design, interior quality, specific configurations, battery range, and estimated time of arrival at the store.\nConcerns: Price transparency during the purchase process, after-sales service, and whether the actual vehicle performance matches the advertisement."
}

Parsing protocol for output.identityRecognitionPath

The outermost layer is an Object that contains the following fields:

Name	Type	Description	Example
identityResults	Array	A list of identity recognition results.
identityResults[0].identity	String	The recognized identity.	Customer
identityResults[0].speakerId	String	The speaker ID.	1

The following is a JSON example:

{
  "identityResults": [
      {
          "identity": "Customer",
          "speakerId": "1"
      },
      {
          "identity": "Salesperson",
          "speakerId": "2"
      }
  ]
}

Parsing protocol for output.contentExtractionsPath

The outermost layer is a JSONArray containing the following elements:

Name	Type	Description	Example
result	String	The result description.	Car purchase cost
matchedSentenceIds	Array<Integer>	A list of matched sentence IDs.	[1, 2]
title	String	The title.	Cost of ownership
remarks	String	The remarks.	The customer expressed concern about the car purchase cost during the conversation and asked about the price.

The following is a JSON example:

[
  {
    "result": "Not mentioned",
    "matchedSentenceIds": [],
    "title": "Product configuration",
    "remarks": "The conversation between the customer and the salesperson did not involve any specific product configuration details, such as AR-HUD, electric leg rests or foot mats, or panoramic sunroof."
  },
  {
    "result": "Car purchase cost",
    "matchedSentenceIds": [
      1,
      2
    ],
    "title": "Cost of ownership",
    "remarks": "The customer expressed concern about the car purchase cost during the conversation and asked about the price."
  }
]

Request example

In the Authorization request header, replace sk-*** with your Alibaba Cloud Model Studio API key.

curl --location 'https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Authorization: Bearer sk-***' \
--header 'Content-Type: application/json' \
--data '{
  "model": "tingwu-automotive-customer-profile",
  "input": {
    "dataId": "***",
    "task": "getTask"
  }
}'

Response example

{
    "output": {
        "identityRecognitionPath": "https://***.oss-cn-hangzhou.aliyuncs.com/agentic/prepub/CommonDataField/idRecog/1627865205776705/llm-3cx2a3o4n8y45iee/2025/07/09/2deb5d827f1548a88440b6a40836f239?Expires=***&OSSAccessKeyId=YOUR_ACCESS_KEY_ID&Signature=YOUR_SIGNATURE",
        "customerProfilePath": "https://***.oss-cn-hangzhou.aliyuncs.com/agentic/prepub/CommonDataField/customerProfile/1627865205776705/llm-3cx2a3o4n8y45iee/2025/07/09/3880ad6e4b4e4f99a536ac472f083a04?Expires=***&OSSAccessKeyId=YOUR_ACCESS_KEY_ID&Signature=YOUR_SIGNATURE",
        "contentExtractionsPath": "https://***.oss-cn-hangzhou.aliyuncs.com/agentic/prepub/CommonDataField/conExtract/1627865205776705/llm-3cx2a3o4n8y45iee/2025/07/09/e669817cb93c4a90869d1b733aec8267?Expires=***&OSSAccessKeyId=YOUR_ACCESS_KEY_ID&Signature=YOUR_SIGNATURE",
        "status": 0,
        "transcriptionPath": "https://***.oss-cn-hangzhou.aliyuncs.com/agentic/prepub/CommonDataField/transcription/1627865205776705/llm-3cx2a3o4n8y45iee/2025/07/09/e565ebbb891e4943a482bda4619081aa?Expires=***&OSSAccessKeyId=YOUR_ACCESS_KEY_ID&Signature=YOUR_SIGNATURE"
    },
    "usage": {},
    "request_id": "fb9f5972-0dc0-9d7f-afe6-3120b46419f4"
}