- Resource: AnswerRecord
- JSON representation
- AnswerFeedback
- CorrectnessLevel
- AgentAssistantFeedback
- AnswerRelevance
- DocumentCorrectness
- DocumentEfficiency
- SummarizationFeedback
- KnowledgeSearchFeedback
- KnowledgeAssistFeedback
- AgentAssistantRecord
- ArticleAnswer
- FaqAnswer
- DialogflowAssistAnswer
- QueryResult
- SentimentAnalysisResult
- Sentiment
- KnowledgeAnswers
- Answer
- MatchConfidenceLevel
- IntentSuggestion
- Methods
Resource: AnswerRecord
Answer records are records to manage answer history and feedbacks for Dialogflow.
Currently, answer record includes:
- human agent assistant article suggestion
- human agent assistant faq article
It doesn't include:
-
DetectIntent
intent matching -
DetectIntent
knowledge
Answer records are not related to the conversation history in the Dialogflow Console. A Record is generated even when the end-user disables conversation history in the console. Records are created when there's a human agent assistant suggestion generated.
A typical workflow for customers provide feedback to an answer is:
- For human agent assistant, customers get suggestion via suggestions.list API. Together with the answers,
AnswerRecord.name
are returned to the customers. - The customer uses the
AnswerRecord.name
to call the [answerRecords.patch][] method to send feedback about a specific answer that they believe is wrong.
JSON representation |
---|
{ "name" : string , "answerFeedback" : { object ( |
name
string
The unique identifier of this answer record. Required for AnswerRecords.UpdateAnswerRecord
method. Format: projects/<Project ID>/locations/<Location
ID>/answerRecords/<Answer Record ID>
.
answerFeedback
object (
AnswerFeedback
)
Optional. The AnswerFeedback for this record. You can set this with AnswerRecords.UpdateAnswerRecord
in order to give us feedback about this answer.
record
. Output only. The record for this answer. record
can be only one of the following:agentAssistantRecord
object (
AgentAssistantRecord
)
Output only. The record for human agent assistant.
AnswerFeedback
Represents feedback the customer has about the quality & correctness of a certain answer in a conversation.
JSON representation |
---|
{ "correctnessLevel" : enum ( |
correctnessLevel
enum (
CorrectnessLevel
)
The correctness level of the specific answer.
clicked
boolean
Indicates whether the answer/item was clicked by the human agent or not. Default to false. For knowledge search, the answer record is considered to be clicked if the answer was copied or any URI was clicked.
clickTime
string (
Timestamp
format)
Time when the answer/item was clicked.
Uses RFC 3339, where generated output will always be Z-normalized and use 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z"
, "2014-10-02T15:01:23.045123456Z"
or "2014-10-02T15:01:23+05:30"
.
displayed
boolean
Indicates whether the answer/item was displayed to the human agent in the agent desktop UI. Default to false.
displayTime
string (
Timestamp
format)
Time when the answer/item was displayed.
Uses RFC 3339, where generated output will always be Z-normalized and use 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z"
, "2014-10-02T15:01:23.045123456Z"
or "2014-10-02T15:01:23+05:30"
.
detail_feedback
. Normally, detail feedback is provided when answer is not fully correct. detail_feedback
can be only one of the following:agentAssistantDetailFeedback
object (
AgentAssistantFeedback
)
Optional. Detail feedback of agent assistant suggestions.
CorrectnessLevel
The correctness level of an answer.
Enums | |
---|---|
CORRECTNESS_LEVEL_UNSPECIFIED
|
Correctness level unspecified. |
NOT_CORRECT
|
Answer is totally wrong. |
PARTIALLY_CORRECT
|
Answer is partially correct. |
FULLY_CORRECT
|
Answer is fully correct. |
AgentAssistantFeedback
Detail feedback of Agent Assistant result.
JSON representation |
---|
{ "answerRelevance" : enum ( |
answerRelevance
enum (
AnswerRelevance
)
Optional. Whether or not the suggested answer is relevant.
For example:
- Query: "Can I change my mailing address?"
- Suggested document says: "Items must be returned/exchanged within 60 days of the purchase date."
-
answerRelevance
:AnswerRelevance.IRRELEVANT
documentCorrectness
enum (
DocumentCorrectness
)
Optional. Whether or not the information in the document is correct.
For example:
- Query: "Can I return the package in 2 days once received?"
- Suggested document says: "Items must be returned/exchanged within 60 days of the purchase date."
- Ground truth: "No return or exchange is allowed."
-
documentCorrectness
:INCORRECT
documentEfficiency
enum (
DocumentEfficiency
)
Optional. Whether or not the suggested document is efficient. For example, if the document is poorly written, hard to understand, hard to use or too long to find useful information, documentEfficiency
is DocumentEfficiency.INEFFICIENT
.
summarizationFeedback
object (
SummarizationFeedback
)
Feedback for conversation summarization.
knowledgeSearchFeedback
object (
KnowledgeSearchFeedback
)
Optional. Feedback for knowledge search.
knowledgeAssistFeedback
object (
KnowledgeAssistFeedback
)
Optional. Feedback for knowledge assist.
AnswerRelevance
Relevance of an answer.
Enums | |
---|---|
ANSWER_RELEVANCE_UNSPECIFIED
|
Answer relevance unspecified. |
IRRELEVANT
|
Answer is irrelevant to query. |
RELEVANT
|
Answer is relevant to query. |
DocumentCorrectness
Correctness of document.
Enums | |
---|---|
DOCUMENT_CORRECTNESS_UNSPECIFIED
|
Document correctness unspecified. |
INCORRECT
|
Information in document is incorrect. |
CORRECT
|
Information in document is correct. |
DocumentEfficiency
Efficiency of document.
Enums | |
---|---|
DOCUMENT_EFFICIENCY_UNSPECIFIED
|
Document efficiency unspecified. |
INEFFICIENT
|
Document is inefficient. |
EFFICIENT
|
Document is efficient. |
SummarizationFeedback
Feedback for conversation summarization.
JSON representation |
---|
{ "startTimestamp" : string , "submitTimestamp" : string , "summaryText" : string , "textSections" : { string : string , ... } } |
Fields | |
---|---|
startTimestamp
|
Timestamp when composing of the summary starts. Uses RFC 3339, where generated output will always be Z-normalized and use 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: |
submitTimestamp
|
Timestamp when the summary was submitted. Uses RFC 3339, where generated output will always be Z-normalized and use 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: |
summaryText
|
Text of actual submitted summary. |
textSections
|
Optional. Actual text sections of submitted summary. An object containing a list of |
KnowledgeSearchFeedback
Feedback for knowledge search.
JSON representation |
---|
{ "answerCopied" : boolean , "clickedUris" : [ string ] } |
Fields | |
---|---|
answerCopied
|
Whether the answer was copied by the human agent or not. If the value is set to be true, |
clickedUris[]
|
The URIs clicked by the human agent. The value is appended for each UpdateAnswerRecordRequest. If the value is not empty, |
KnowledgeAssistFeedback
Feedback for knowledge assist.
JSON representation |
---|
{ "answerCopied" : boolean , "clickedUris" : [ string ] } |
Fields | |
---|---|
answerCopied
|
Whether the suggested answer was copied by the human agent. If the value is set to be true, |
clickedUris[]
|
The URIs clicked by the human agent. The value is appended for each |
AgentAssistantRecord
Represents a record of a human agent assistant answer.
JSON representation |
---|
{ // Union field |
answer
. Output only. The agent assistant answer. answer
can be only one of the following:articleSuggestionAnswer
object (
ArticleAnswer
)
Output only. The article suggestion answer.
faqAnswer
object (
FaqAnswer
)
Output only. The FAQ answer.
dialogflowAssistAnswer
object (
DialogflowAssistAnswer
)
Output only. The Dialogflow assist answer.
generatorSuggestion
object (
GeneratorSuggestion
)
Output only. The generator suggestion.
ArticleAnswer
Represents article answer.
JSON representation |
---|
{ "title" : string , "uri" : string , "snippets" : [ string ] , "metadata" : { string : string , ... } , "answerRecord" : string } |
Fields | |
---|---|
title
|
The article title. |
uri
|
The article URI. |
snippets[]
|
Output only. Article snippets. |
metadata
|
A map that contains metadata about the answer and the document from which it originates. An object containing a list of |
answerRecord
|
The name of answer record, in the format of "projects/ |
FaqAnswer
Represents answer from "frequently asked questions".
JSON representation |
---|
{ "answer" : string , "confidence" : number , "question" : string , "source" : string , "metadata" : { string : string , ... } , "answerRecord" : string } |
Fields | |
---|---|
answer
|
The piece of text from the |
confidence
|
The system's confidence score that this Knowledge answer is a good match for this conversational query, range from 0.0 (completely uncertain) to 1.0 (completely certain). |
question
|
The corresponding FAQ question. |
source
|
Indicates which Knowledge Document this answer was extracted from. Format: |
metadata
|
A map that contains metadata about the answer and the document from which it originates. An object containing a list of |
answerRecord
|
The name of answer record, in the format of "projects/ |
DialogflowAssistAnswer
Represents a Dialogflow assist answer.
JSON representation |
---|
{ "answerRecord" : string , // Union field |
answerRecord
string
The name of answer record, in the format of "projects/
result
. Result from DetectIntent for one matched intent. result
can be only one of the following:queryResult
object (
QueryResult
)
Result from v2 agent.
intentSuggestion
object (
IntentSuggestion
)
An intent suggestion generated from conversation.
QueryResult
Represents the result of conversational query or event processing.
JSON representation |
---|
{ "queryText" : string , "languageCode" : string , "speechRecognitionConfidence" : number , "action" : string , "parameters" : { object } , "allRequiredParamsPresent" : boolean , "cancelsSlotFilling" : boolean , "fulfillmentText" : string , "fulfillmentMessages" : [ { object ( |
queryText
string
The original conversational query text:
- If natural language text was provided as input,
queryText
contains a copy of the input. - If natural language speech audio was provided as input,
queryText
contains the speech recognition result. If speech recognizer produced multiple alternatives, a particular one is picked. - If automatic spell correction is enabled,
queryText
will contain the corrected user input.
languageCode
string
The language that was triggered during intent detection. See Language Support for a list of the currently supported language codes.
speechRecognitionConfidence
number
The Speech recognition confidence between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. The default of 0.0 is a sentinel value indicating that confidence was not set.
This field is not guaranteed to be accurate or set. In particular this field isn't set for StreamingDetectIntent since the streaming endpoint has separate confidence estimates per portion of the audio in StreamingRecognitionResult.
action
string
The action name from the matched intent.
parameters
object (
Struct
format)
The collection of extracted parameters.
Depending on your protocol or client library language, this is a map, associative array, symbol table, dictionary, or JSON object composed of a collection of (MapKey, MapValue) pairs:
- MapKey type: string
- MapKey value: parameter name
- MapValue type: If parameter's entity type is a composite entity then use map, otherwise, depending on the parameter value type, it could be one of string, number, boolean, null, list or map.
- MapValue value: If parameter's entity type is a composite entity then use map from composite entity property names to property values, otherwise, use parameter value.
allRequiredParamsPresent
boolean
This field is set to:
-
false
if the matched intent has required parameters and not all of the required parameter values have been collected. -
true
if all required parameter values have been collected, or if the matched intent doesn't contain any required parameters.
cancelsSlotFilling
boolean
Indicates whether the conversational query triggers a cancellation for slot filling. For more information, see the cancel slot filling documentation .
fulfillmentText
string
The text to be pronounced to the user or shown on the screen. Note: This is a legacy field, fulfillmentMessages
should be preferred.
webhookSource
string
If the query was fulfilled by a webhook call, this field is set to the value of the source
field returned in the webhook response.
webhookPayload
object (
Struct
format)
If the query was fulfilled by a webhook call, this field is set to the value of the payload
field returned in the webhook response.
outputContexts[]
object (
Context
)
The collection of output contexts. If applicable, outputContexts.parameters
contains entries with name <parameter name>.original
containing the original parameter values before the query.
intent
object (
Intent
)
The intent that matched the conversational query. Some, not all fields are filled in this message, including but not limited to: name
, displayName
, endInteraction
and isFallback
.
intentDetectionConfidence
number
The intent detection confidence. Values range from 0.0 (completely uncertain) to 1.0 (completely certain). This value is for informational purpose only and is only used to help match the best intent within the classification threshold. This value may change for the same end-user expression at any time due to a model retraining or change in implementation. If there are multiple knowledgeAnswers
messages, this value is set to the greatest knowledgeAnswers.match_confidence
value in the list.
diagnosticInfo
object (
Struct
format)
Free-form diagnostic information for the associated detect intent request. The fields of this data can change without notice, so you should not write code that depends on its structure. The data may contain:
- webhook call latency
- webhook errors
sentimentAnalysisResult
object (
SentimentAnalysisResult
)
The sentiment analysis result, which depends on the sentimentAnalysisRequestConfig
specified in the request.
knowledgeAnswers
object (
KnowledgeAnswers
)
The result from Knowledge Connector (if any), ordered by decreasing KnowledgeAnswers.match_confidence
.
SentimentAnalysisResult
The result of sentiment analysis. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user's attitude as positive, negative, or neutral. For [Participants.DetectIntent][], it needs to be configured in DetectIntentRequest.query_params
. For [Participants.StreamingDetectIntent][], it needs to be configured in StreamingDetectIntentRequest.query_params
. And for Participants.AnalyzeContent
and Participants.StreamingAnalyzeContent
, it needs to be configured in ConversationProfile.human_agent_assistant_config
JSON representation |
---|
{
"queryTextSentiment"
:
{
object (
|
Fields | |
---|---|
queryTextSentiment
|
The sentiment analysis result for |
Sentiment
The sentiment, such as positive/negative feeling or association, for a unit of analysis, such as the query text. See: https://cloud.google.com/natural-language/docs/basics#interpreting_sentiment_analysis_values for how to interpret the result.
JSON representation |
---|
{ "score" : number , "magnitude" : number } |
Fields | |
---|---|
score
|
Sentiment score between -1.0 (negative sentiment) and 1.0 (positive sentiment). |
magnitude
|
A non-negative number in the [0, +inf) range, which represents the absolute magnitude of sentiment, regardless of score (positive or negative). |
KnowledgeAnswers
Represents the result of querying a Knowledge base.
JSON representation |
---|
{
"answers"
:
[
{
object (
|
Fields | |
---|---|
answers[]
|
A list of answers from Knowledge Connector. |
Answer
An answer from Knowledge Connector.
JSON representation |
---|
{
"source"
:
string
,
"faqQuestion"
:
string
,
"answer"
:
string
,
"matchConfidenceLevel"
:
enum (
|
Fields | |
---|---|
source
|
Indicates which Knowledge Document this answer was extracted from. Format: |
faqQuestion
|
The corresponding FAQ question if the answer was extracted from a FAQ Document, empty otherwise. |
answer
|
The piece of text from the |
matchConfidenceLevel
|
The system's confidence level that this knowledge answer is a good match for this conversational query. NOTE: The confidence level for a given |
matchConfidence
|
The system's confidence score that this Knowledge answer is a good match for this conversational query. The range is from 0.0 (completely uncertain) to 1.0 (completely certain). Note: The confidence score is likely to vary somewhat (possibly even for identical requests), as the underlying model is under constant improvement. It may be deprecated in the future. We recommend using |
MatchConfidenceLevel
Represents the system's confidence that this knowledge answer is a good match for this conversational query.
Enums | |
---|---|
MATCH_CONFIDENCE_LEVEL_UNSPECIFIED
|
Not specified. |
LOW
|
Indicates that the confidence is low. |
MEDIUM
|
Indicates our confidence is medium. |
HIGH
|
Indicates our confidence is high. |
IntentSuggestion
Represents an intent suggestion.
JSON representation |
---|
{ "displayName" : string , "description" : string , // Union field |
displayName
string
The display name of the intent.
description
string
Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
intent
. The name of the intent. intent
can be only one of the following:intentV2
string
The unique identifier of this intent
. Format: projects/<Project ID>/locations/<Location
ID>/agent/intents/<Intent ID>
.
Methods |
|
---|---|
(deprecated) |
Deprecated. |
|
Returns the list of all answer records in the specified project in reverse chronological order. |
|
Updates the specified answer record. |