- 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 matchingDetectIntent
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 |
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{ "name": string, "answerFeedback": { object ( |
Fields | |
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name |
The unique identifier of this answer record. Required for |
answer |
Optional. The AnswerFeedback for this record. You can set this with |
Union field record . Output only. The record for this answer. record can be only one of the following: |
|
agent |
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 |
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{ "correctnessLevel": enum ( |
Fields | |
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correctness |
The correctness level of the specific answer. |
clicked |
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. |
click |
Time when the answer/item was clicked. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
displayed |
Indicates whether the answer/item was displayed to the human agent in the agent desktop UI. Default to false. |
display |
Time when the answer/item was displayed. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
Union field detail_feedback . Normally, detail feedback is provided when answer is not fully correct. detail_feedback can be only one of the following: |
|
agent |
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 |
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{ "answerRelevance": enum ( |
Fields | |
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answer |
Optional. Whether or not the suggested answer is relevant. For example:
|
document |
Optional. Whether or not the information in the document is correct. For example:
|
document |
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, |
summarization |
Feedback for conversation summarization. |
knowledge |
Optional. Feedback for knowledge search. |
knowledge |
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 |
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{ "startTimestamp": string, "submitTimestamp": string, "summaryText": string, "textSections": { string: string, ... } } |
Fields | |
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start |
Timestamp when composing of the summary starts. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
submit |
Timestamp when the summary was submitted. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
summary |
Text of actual submitted summary. |
text |
Optional. Actual text sections of submitted summary. An object containing a list of |
KnowledgeSearchFeedback
Feedback for knowledge search.
JSON representation |
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{ "answerCopied": boolean, "clickedUris": [ string ] } |
Fields | |
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answer |
Whether the answer was copied by the human agent or not. If the value is set to be true, |
clicked |
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 |
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{ "answerCopied": boolean, "clickedUris": [ string ] } |
Fields | |
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answer |
Whether the suggested answer was copied by the human agent. If the value is set to be true, |
clicked |
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 |
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{ // Union field |
Fields | |
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Union field answer . Output only. The agent assistant answer. answer can be only one of the following: |
|
article |
Output only. The article suggestion answer. |
faq |
Output only. The FAQ answer. |
dialogflow |
Output only. The Dialogflow assist answer. |
ArticleAnswer
Represents article answer.
JSON representation |
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{ "title": string, "uri": string, "snippets": [ string ], "metadata": { string: string, ... }, "answerRecord": string } |
Fields | |
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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 |
answer |
The name of answer record, in the format of "projects/ |
FaqAnswer
Represents answer from "frequently asked questions".
JSON representation |
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{ "answer": string, "confidence": number, "question": string, "source": string, "metadata": { string: string, ... }, "answerRecord": string } |
Fields | |
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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 |
answer |
The name of answer record, in the format of "projects/ |
DialogflowAssistAnswer
Represents a Dialogflow assist answer.
JSON representation |
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{ "answerRecord": string, // Union field |
Fields | |
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answer |
The name of answer record, in the format of "projects/ |
Union field result . Result from DetectIntent for one matched intent. result can be only one of the following: |
|
query |
Result from v2 agent. |
intent |
An intent suggestion generated from conversation. |
QueryResult
Represents the result of conversational query or event processing.
JSON representation |
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{ "queryText": string, "languageCode": string, "speechRecognitionConfidence": number, "action": string, "parameters": { object }, "allRequiredParamsPresent": boolean, "cancelsSlotFilling": boolean, "fulfillmentText": string, "fulfillmentMessages": [ { object ( |
Fields | |
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query |
The original conversational query text:
|
language |
The language that was triggered during intent detection. See Language Support for a list of the currently supported language codes. |
speech |
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 |
The action name from the matched intent. |
parameters |
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:
|
all |
This field is set to:
|
cancels |
Indicates whether the conversational query triggers a cancellation for slot filling. For more information, see the cancel slot filling documentation. |
fulfillment |
The text to be pronounced to the user or shown on the screen. Note: This is a legacy field, |
fulfillment |
The collection of rich messages to present to the user. |
webhook |
If the query was fulfilled by a webhook call, this field is set to the value of the |
webhook |
If the query was fulfilled by a webhook call, this field is set to the value of the |
output |
The collection of output contexts. If applicable, |
intent |
The intent that matched the conversational query. Some, not all fields are filled in this message, including but not limited to: |
intent |
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 |
diagnostic |
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:
|
sentiment |
The sentiment analysis result, which depends on the |
knowledge |
The result from Knowledge Connector (if any), ordered by decreasing |
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 |
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{
"queryTextSentiment": {
object ( |
Fields | |
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query |
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 |
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{ "score": number, "magnitude": number } |
Fields | |
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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 |
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{
"answers": [
{
object ( |
Fields | |
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answers[] |
A list of answers from Knowledge Connector. |
Answer
An answer from Knowledge Connector.
JSON representation |
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{
"source": string,
"faqQuestion": string,
"answer": string,
"matchConfidenceLevel": enum ( |
Fields | |
---|---|
source |
Indicates which Knowledge Document this answer was extracted from. Format: |
faq |
The corresponding FAQ question if the answer was extracted from a FAQ Document, empty otherwise. |
answer |
The piece of text from the |
match |
The system's confidence level that this knowledge answer is a good match for this conversational query. NOTE: The confidence level for a given |
match |
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 |
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{ "displayName": string, "description": string, // Union field |
Fields | |
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display |
The display name of the intent. |
description |
Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters. |
Union field intent . The name of the intent. intent can be only one of the following: |
|
intent |
The unique identifier of this |
Methods |
|
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(deprecated) |
Deprecated. |
|
Returns the list of all answer records in the specified project in reverse chronological order. |
|
Updates the specified answer record. |