你当前正在访问 Microsoft Azure Global Edition 技术文档网站。 如果需要访问由世纪互联运营的 Microsoft Azure 中国技术文档网站,请访问 https://docs.azure.cn。
Text Groundedness Detection Operations - Detect Groundedness Options
Detect Groundedness
A synchronous API for the analysis of language model outputs to determine alignment with user-provided information or identify fictional content.
POST {endpoint}/contentsafety/text:detectGroundedness?api-version=2024-02-15-preview
URI Parameters
Name | In | Required | Type | Description |
---|---|---|---|---|
endpoint
|
path | True |
string |
Supported Cognitive Services endpoints (protocol and hostname, for example: https://.cognitiveservices.azure.com). |
api-version
|
query | True |
string |
The API version to use for this operation. |
Request Body
Name | Required | Type | Description |
---|---|---|---|
groundingSources | True |
string[] |
Leverages a vast array of grounding sources to validate AI-generated text. Limit: Restrictions on the total amount of grounding sources that can be analyzed in a single request are 55K characters. |
text | True |
string |
The specific text that needs to be checked. |
domain |
The domain of the text for analysis. Allowed values: Medical, Generic. This field is optional, with a default value of Generic. |
||
llmResource |
Connection details for the LLM resource. This field will be used only when the 'reasoning' field is set to true; otherwise, it will be ignored. |
||
qna |
The user's question input in a QnA scenario. This field is optional, but if the task type is set to QnA, it becomes required. |
||
reasoning |
boolean |
A value indicating if the output includes an explanation for the identified groundedness. This field is optional, with a default value of false. |
|
task |
The task type for the text analysis. Type of task: QnA, Summarization. This field is optional, with a default value of Summarization. |
Responses
Name | Type | Description |
---|---|---|
200 OK |
The request has succeeded. |
|
Other Status Codes |
An unexpected error response. Headers x-ms-error-code: string |
Security
Ocp-Apim-Subscription-Key
Type:
apiKey
In:
header
OAuth2Auth
Type:
oauth2
Flow:
application
Token URL:
https://login.microsoftonline.com/common/oauth2/v2.0/token
Scopes
Name | Description |
---|---|
https://cognitiveservices.azure.com/.default |
Examples
Detect Groundedness
Sample request
POST {endpoint}/contentsafety/text:detectGroundedness?api-version=2024-02-15-preview
{
"domain": "Generic",
"task": "Summarization",
"text": "The sun rises from the west.",
"groundingSources": [
"The sun rises from the east due to the visual effect caused by the Earth"
],
"reasoning": true,
"llmResource": {
"resourceType": "AzureOpenAI",
"azureOpenAIEndpoint": "https://your-azure-openai-name.openai.azure.com",
"azureOpenAIDeploymentName": "deployment-1130"
}
}
Sample response
{
"ungroundedDetected": true,
"ungroundedPercentage": 0,
"ungroundedDetails": [
{
"text": "string",
"offset": {
"utf8": 0,
"utf16": 0,
"codePoint": 0
},
"length": {
"utf8": 28,
"utf16": 28,
"codePoint": 28
},
"reason": "The sun rises from the east due to the visual effect caused by the Earth"
}
]
}
Definitions
Name | Description |
---|---|
Analyze |
The request of groundedness detection. |
Analyze |
The response of groundedness detection. |
Azure. |
The error object. |
Azure. |
A response containing error details. |
Azure. |
An object containing more specific information about the error. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses. |
Groundedness |
The domain of the text for analysis. Allowed values: Medical, Generic. This field is optional, with a default value of Generic. |
Groundedness |
The task type for the text analysis. Type of task: QnA, Summarization. This field is optional, with a default value of Summarization. |
Index |
The index details. |
LLMResource |
Connection details for the LLM resource. |
LLMResource |
LLM resource type. The default value is AzureOpenAI. |
Qn |
The request of QnA options. |
Ungroundedness |
The detailed information about a text identified as ungroundedness. |
AnalyzeTextGroundednessOptions
The request of groundedness detection.
Name | Type | Default value | Description |
---|---|---|---|
domain | Generic |
The domain of the text for analysis. Allowed values: Medical, Generic. This field is optional, with a default value of Generic. |
|
groundingSources |
string[] |
Leverages a vast array of grounding sources to validate AI-generated text. Limit: Restrictions on the total amount of grounding sources that can be analyzed in a single request are 55K characters. |
|
llmResource |
Connection details for the LLM resource. This field will be used only when the 'reasoning' field is set to true; otherwise, it will be ignored. |
||
qna |
The user's question input in a QnA scenario. This field is optional, but if the task type is set to QnA, it becomes required. |
||
reasoning |
boolean |
A value indicating if the output includes an explanation for the identified groundedness. This field is optional, with a default value of false. |
|
task | Summarization |
The task type for the text analysis. Type of task: QnA, Summarization. This field is optional, with a default value of Summarization. |
|
text |
string |
The specific text that needs to be checked. |
AnalyzeTextGroundednessResult
The response of groundedness detection.
Name | Type | Description |
---|---|---|
ungroundedDetails |
Provides insights into ungrounded content with specific examples and percentages. |
|
ungroundedDetected |
boolean |
Indicates whether the text exhibits ungroundedness. |
ungroundedPercentage |
number |
Specifies the proportion of the text identified as ungrounded, expressed as a decimal between 0 and 1, where 0 indicates no grounded content and 1 indicates entirely grounded content.. |
Azure.Core.Foundations.Error
The error object.
Name | Type | Description |
---|---|---|
code |
string |
One of a server-defined set of error codes. |
details |
An array of details about specific errors that led to this reported error. |
|
innererror |
An object containing more specific information than the current object about the error. |
|
message |
string |
A human-readable representation of the error. |
target |
string |
The target of the error. |
Azure.Core.Foundations.ErrorResponse
A response containing error details.
Name | Type | Description |
---|---|---|
error |
The error object. |
Azure.Core.Foundations.InnerError
An object containing more specific information about the error. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses.
Name | Type | Description |
---|---|---|
code |
string |
One of a server-defined set of error codes. |
innererror |
Inner error. |
GroundednessDomain
The domain of the text for analysis. Allowed values: Medical, Generic. This field is optional, with a default value of Generic.
Name | Type | Description |
---|---|---|
Generic |
string |
|
Medical |
string |
GroundednessTask
The task type for the text analysis. Type of task: QnA, Summarization. This field is optional, with a default value of Summarization.
Name | Type | Description |
---|---|---|
QnA |
string |
|
Summarization |
string |
IndexDetails
The index details.
Name | Type | Description |
---|---|---|
codePoint |
integer |
Indicate the index with code point format. |
utf16 |
integer |
Indicate the index when encoding is UTF-16. |
utf8 |
integer |
Indicate the index when encoding is UTF-8. |
LLMResource
Connection details for the LLM resource.
Name | Type | Default value | Description |
---|---|---|---|
azureOpenAIDeploymentName |
string |
Deployment model name. |
|
azureOpenAIEndpoint |
string |
Endpoint for Azure OpenAI resource. |
|
resourceType | AzureOpenAI |
LLM resource type. The default value is AzureOpenAI. |
LLMResourceType
LLM resource type. The default value is AzureOpenAI.
Name | Type | Description |
---|---|---|
AzureOpenAI |
string |
Azure OpenAI resource type. |
QnAOptions
The request of QnA options.
Name | Type | Description |
---|---|---|
query |
string |
The user's question input in a QnA scenario. |
UngroundednessDetails
The detailed information about a text identified as ungroundedness.
Name | Type | Description |
---|---|---|
length |
The length of the grounded text. |
|
offset |
The offset when grounded text starts. |
|
reason |
string |
The explanation for detected ungroundedness, enhancing understanding. Only when the 'reasoning' field in the input is set to true 'reason' field will be returned. |
text |
string |
The grounded text. |