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| <h1><a href="contactcenterinsights_v1.html">Contact Center AI Insights API</a> . <a href="contactcenterinsights_v1.projects.html">projects</a> . <a href="contactcenterinsights_v1.projects.locations.html">locations</a> . <a href="contactcenterinsights_v1.projects.locations.conversations.html">conversations</a></h1> |
| <h2>Instance Methods</h2> |
| <p class="toc_element"> |
| <code><a href="contactcenterinsights_v1.projects.locations.conversations.analyses.html">analyses()</a></code> |
| </p> |
| <p class="firstline">Returns the analyses Resource.</p> |
| |
| <p class="toc_element"> |
| <code><a href="#calculateStats">calculateStats(location, filter=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Gets conversation statistics.</p> |
| <p class="toc_element"> |
| <code><a href="#close">close()</a></code></p> |
| <p class="firstline">Close httplib2 connections.</p> |
| <p class="toc_element"> |
| <code><a href="#create">create(parent, body=None, conversationId=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Creates a conversation.</p> |
| <p class="toc_element"> |
| <code><a href="#delete">delete(name, force=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Deletes a conversation.</p> |
| <p class="toc_element"> |
| <code><a href="#get">get(name, view=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Gets a conversation.</p> |
| <p class="toc_element"> |
| <code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, view=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Lists conversations.</p> |
| <p class="toc_element"> |
| <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p> |
| <p class="firstline">Retrieves the next page of results.</p> |
| <p class="toc_element"> |
| <code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Updates a conversation.</p> |
| <h3>Method Details</h3> |
| <div class="method"> |
| <code class="details" id="calculateStats">calculateStats(location, filter=None, x__xgafv=None)</code> |
| <pre>Gets conversation statistics. |
| |
| Args: |
| location: string, Required. The location of the conversations. (required) |
| filter: string, A filter to reduce results to a specific subset. This field is useful for getting statistics about conversations with specific properties. |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # The response for calculating conversation statistics. |
| "averageDuration": "A String", # The average duration of all conversations. The average is calculated using only conversations that have a time duration. |
| "averageTurnCount": 42, # The average number of turns per conversation. |
| "conversationCount": 42, # The total number of conversations. |
| "conversationCountTimeSeries": { # A time series representing conversations over time. # A time series representing the count of conversations created over time that match that requested filter criteria. |
| "intervalDuration": "A String", # The duration of each interval. |
| "points": [ # An ordered list of intervals from earliest to latest, where each interval represents the number of conversations that transpired during the time window. |
| { # A single interval in a time series. |
| "conversationCount": 42, # The number of conversations created in this interval. |
| "startTime": "A String", # The start time of this interval. |
| }, |
| ], |
| }, |
| "customHighlighterMatches": { # A map associating each custom highlighter resource name with its respective number of matches in the set of conversations. |
| "a_key": 42, |
| }, |
| "issueMatches": { # A map associating each issue resource name with its respective number of matches in the set of conversations. Key has the format: `projects//locations//issueModels//issues/` |
| "a_key": 42, |
| }, |
| "smartHighlighterMatches": { # A map associating each smart highlighter display name with its respective number of matches in the set of conversations. |
| "a_key": 42, |
| }, |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="close">close()</code> |
| <pre>Close httplib2 connections.</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="create">create(parent, body=None, conversationId=None, x__xgafv=None)</code> |
| <pre>Creates a conversation. |
| |
| Args: |
| parent: string, Required. The parent resource of the conversation. (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # The conversation resource. |
| "agentId": "A String", # An opaque, user-specified string representing the human agent who handled the conversation. |
| "callMetadata": { # Call-specific metadata. # Call-specific metadata. |
| "agentChannel": 42, # The audio channel that contains the agent. |
| "customerChannel": 42, # The audio channel that contains the customer. |
| }, |
| "createTime": "A String", # Output only. The time at which the conversation was created. |
| "dataSource": { # The conversation source, which is a combination of transcript and audio. # The source of the audio and transcription for the conversation. |
| "dialogflowSource": { # A Dialogflow source of conversation data. # The source when the conversation comes from Dialogflow. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "dialogflowConversation": "A String", # Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| }, |
| "gcsSource": { # A Cloud Storage source of conversation data. # A Cloud Storage location specification for the audio and transcript. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "transcriptUri": "A String", # Immutable. Cloud Storage URI that points to a file that contains the conversation transcript. |
| }, |
| }, |
| "dialogflowIntents": { # Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent} |
| "a_key": { # The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| }, |
| }, |
| "duration": "A String", # Output only. The duration of the conversation. |
| "expireTime": "A String", # The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted. |
| "labels": { # A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry. |
| "a_key": "A String", |
| }, |
| "languageCode": "A String", # A user-specified language code for the conversation. |
| "latestAnalysis": { # The analysis resource. # Output only. The conversation's latest analysis, if one exists. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| }, |
| "medium": "A String", # Immutable. The conversation medium. |
| "name": "A String", # Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| "runtimeAnnotations": [ # Output only. The annotations that were generated during the customer and agent interaction. |
| { # An annotation that was generated during the customer and agent interaction. |
| "annotationId": "A String", # The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation} |
| "answerFeedback": { # The feedback that the customer has about a certain answer in the conversation. # The feedback that the customer has about the answer in `data`. |
| "clicked": True or False, # Indicates whether an answer or item was clicked by the human agent. |
| "correctnessLevel": "A String", # The correctness level of an answer. |
| "displayed": True or False, # Indicates whether an answer or item was displayed to the human agent in the agent desktop UI. |
| }, |
| "articleSuggestion": { # Agent Assist Article Suggestion data. # Agent Assist Article Suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Article Suggestion and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document} |
| "title": "A String", # Article title. |
| "uri": "A String", # Article URI. |
| }, |
| "createTime": "A String", # The time at which this annotation was created. |
| "dialogflowInteraction": { # Dialogflow interaction data. # Dialogflow interaction data. |
| "confidence": 3.14, # The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "dialogflowIntentId": "A String", # The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent} |
| }, |
| "endBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "faqAnswer": { # Agent Assist frequently-asked-question answer data. # Agent Assist FAQ answer data. |
| "answer": "A String", # The piece of text from the `source` knowledge base document. |
| "confidenceScore": 3.14, # The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the FAQ answer and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record}. |
| "question": "A String", # The corresponding FAQ question. |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}. |
| }, |
| "smartComposeSuggestion": { # Agent Assist Smart Compose suggestion data. # Agent Assist Smart Compose suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Compose suggestion and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "suggestion": "A String", # The content of the suggestion. |
| }, |
| "smartReply": { # Agent Assist Smart Reply data. # Agent Assist Smart Reply data. |
| "confidenceScore": 3.14, # The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Reply and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "reply": "A String", # The content of the reply. |
| }, |
| "startBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| }, |
| ], |
| "startTime": "A String", # The time at which the conversation started. |
| "transcript": { # A message representing the transcript of a conversation. # Output only. The conversation transcript. |
| "transcriptSegments": [ # A list of sequential transcript segments that comprise the conversation. |
| { # A segment of a full transcript. |
| "channelTag": 42, # For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset. |
| "languageCode": "A String", # The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". |
| "segmentParticipant": { # The call participant speaking for a given utterance. # The participant of this segment. |
| "dialogflowParticipant": "A String", # The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant} |
| "role": "A String", # The role of the participant. |
| }, |
| "text": "A String", # The text of this segment. |
| "words": [ # A list of the word-specific information for each word in the segment. |
| { # Word-level info for words in a transcript. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset. |
| "endOffset": "A String", # Time offset of the end of this word relative to the beginning of the total conversation. |
| "startOffset": "A String", # Time offset of the start of this word relative to the beginning of the total conversation. |
| "word": "A String", # The word itself. Includes punctuation marks that surround the word. |
| }, |
| ], |
| }, |
| ], |
| }, |
| "ttl": "A String", # Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time. |
| "turnCount": 42, # Output only. The number of turns in the conversation. |
| "updateTime": "A String", # Output only. The most recent time at which the conversation was updated. |
| } |
| |
| conversationId: string, A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-32 characters and must match the regular expression /^[a-z0-9-]{4,32}$/. Valid characters are /a-z-/ |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # The conversation resource. |
| "agentId": "A String", # An opaque, user-specified string representing the human agent who handled the conversation. |
| "callMetadata": { # Call-specific metadata. # Call-specific metadata. |
| "agentChannel": 42, # The audio channel that contains the agent. |
| "customerChannel": 42, # The audio channel that contains the customer. |
| }, |
| "createTime": "A String", # Output only. The time at which the conversation was created. |
| "dataSource": { # The conversation source, which is a combination of transcript and audio. # The source of the audio and transcription for the conversation. |
| "dialogflowSource": { # A Dialogflow source of conversation data. # The source when the conversation comes from Dialogflow. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "dialogflowConversation": "A String", # Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| }, |
| "gcsSource": { # A Cloud Storage source of conversation data. # A Cloud Storage location specification for the audio and transcript. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "transcriptUri": "A String", # Immutable. Cloud Storage URI that points to a file that contains the conversation transcript. |
| }, |
| }, |
| "dialogflowIntents": { # Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent} |
| "a_key": { # The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| }, |
| }, |
| "duration": "A String", # Output only. The duration of the conversation. |
| "expireTime": "A String", # The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted. |
| "labels": { # A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry. |
| "a_key": "A String", |
| }, |
| "languageCode": "A String", # A user-specified language code for the conversation. |
| "latestAnalysis": { # The analysis resource. # Output only. The conversation's latest analysis, if one exists. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| }, |
| "medium": "A String", # Immutable. The conversation medium. |
| "name": "A String", # Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| "runtimeAnnotations": [ # Output only. The annotations that were generated during the customer and agent interaction. |
| { # An annotation that was generated during the customer and agent interaction. |
| "annotationId": "A String", # The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation} |
| "answerFeedback": { # The feedback that the customer has about a certain answer in the conversation. # The feedback that the customer has about the answer in `data`. |
| "clicked": True or False, # Indicates whether an answer or item was clicked by the human agent. |
| "correctnessLevel": "A String", # The correctness level of an answer. |
| "displayed": True or False, # Indicates whether an answer or item was displayed to the human agent in the agent desktop UI. |
| }, |
| "articleSuggestion": { # Agent Assist Article Suggestion data. # Agent Assist Article Suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Article Suggestion and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document} |
| "title": "A String", # Article title. |
| "uri": "A String", # Article URI. |
| }, |
| "createTime": "A String", # The time at which this annotation was created. |
| "dialogflowInteraction": { # Dialogflow interaction data. # Dialogflow interaction data. |
| "confidence": 3.14, # The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "dialogflowIntentId": "A String", # The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent} |
| }, |
| "endBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "faqAnswer": { # Agent Assist frequently-asked-question answer data. # Agent Assist FAQ answer data. |
| "answer": "A String", # The piece of text from the `source` knowledge base document. |
| "confidenceScore": 3.14, # The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the FAQ answer and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record}. |
| "question": "A String", # The corresponding FAQ question. |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}. |
| }, |
| "smartComposeSuggestion": { # Agent Assist Smart Compose suggestion data. # Agent Assist Smart Compose suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Compose suggestion and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "suggestion": "A String", # The content of the suggestion. |
| }, |
| "smartReply": { # Agent Assist Smart Reply data. # Agent Assist Smart Reply data. |
| "confidenceScore": 3.14, # The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Reply and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "reply": "A String", # The content of the reply. |
| }, |
| "startBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| }, |
| ], |
| "startTime": "A String", # The time at which the conversation started. |
| "transcript": { # A message representing the transcript of a conversation. # Output only. The conversation transcript. |
| "transcriptSegments": [ # A list of sequential transcript segments that comprise the conversation. |
| { # A segment of a full transcript. |
| "channelTag": 42, # For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset. |
| "languageCode": "A String", # The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". |
| "segmentParticipant": { # The call participant speaking for a given utterance. # The participant of this segment. |
| "dialogflowParticipant": "A String", # The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant} |
| "role": "A String", # The role of the participant. |
| }, |
| "text": "A String", # The text of this segment. |
| "words": [ # A list of the word-specific information for each word in the segment. |
| { # Word-level info for words in a transcript. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset. |
| "endOffset": "A String", # Time offset of the end of this word relative to the beginning of the total conversation. |
| "startOffset": "A String", # Time offset of the start of this word relative to the beginning of the total conversation. |
| "word": "A String", # The word itself. Includes punctuation marks that surround the word. |
| }, |
| ], |
| }, |
| ], |
| }, |
| "ttl": "A String", # Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time. |
| "turnCount": 42, # Output only. The number of turns in the conversation. |
| "updateTime": "A String", # Output only. The most recent time at which the conversation was updated. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="delete">delete(name, force=None, x__xgafv=None)</code> |
| <pre>Deletes a conversation. |
| |
| Args: |
| name: string, Required. The name of the conversation to delete. (required) |
| force: boolean, If set to true, all of this conversation's analyses will also be deleted. Otherwise, the request will only succeed if the conversation has no analyses. |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="get">get(name, view=None, x__xgafv=None)</code> |
| <pre>Gets a conversation. |
| |
| Args: |
| name: string, Required. The name of the conversation to get. (required) |
| view: string, The level of details of the conversation. Default is `FULL`. |
| Allowed values |
| CONVERSATION_VIEW_UNSPECIFIED - Not specified. Defaults to FULL on GetConversationRequest and BASIC for ListConversationsRequest. |
| BASIC - Transcript field is not populated in the response. |
| FULL - All fields are populated. |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # The conversation resource. |
| "agentId": "A String", # An opaque, user-specified string representing the human agent who handled the conversation. |
| "callMetadata": { # Call-specific metadata. # Call-specific metadata. |
| "agentChannel": 42, # The audio channel that contains the agent. |
| "customerChannel": 42, # The audio channel that contains the customer. |
| }, |
| "createTime": "A String", # Output only. The time at which the conversation was created. |
| "dataSource": { # The conversation source, which is a combination of transcript and audio. # The source of the audio and transcription for the conversation. |
| "dialogflowSource": { # A Dialogflow source of conversation data. # The source when the conversation comes from Dialogflow. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "dialogflowConversation": "A String", # Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| }, |
| "gcsSource": { # A Cloud Storage source of conversation data. # A Cloud Storage location specification for the audio and transcript. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "transcriptUri": "A String", # Immutable. Cloud Storage URI that points to a file that contains the conversation transcript. |
| }, |
| }, |
| "dialogflowIntents": { # Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent} |
| "a_key": { # The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| }, |
| }, |
| "duration": "A String", # Output only. The duration of the conversation. |
| "expireTime": "A String", # The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted. |
| "labels": { # A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry. |
| "a_key": "A String", |
| }, |
| "languageCode": "A String", # A user-specified language code for the conversation. |
| "latestAnalysis": { # The analysis resource. # Output only. The conversation's latest analysis, if one exists. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| }, |
| "medium": "A String", # Immutable. The conversation medium. |
| "name": "A String", # Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| "runtimeAnnotations": [ # Output only. The annotations that were generated during the customer and agent interaction. |
| { # An annotation that was generated during the customer and agent interaction. |
| "annotationId": "A String", # The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation} |
| "answerFeedback": { # The feedback that the customer has about a certain answer in the conversation. # The feedback that the customer has about the answer in `data`. |
| "clicked": True or False, # Indicates whether an answer or item was clicked by the human agent. |
| "correctnessLevel": "A String", # The correctness level of an answer. |
| "displayed": True or False, # Indicates whether an answer or item was displayed to the human agent in the agent desktop UI. |
| }, |
| "articleSuggestion": { # Agent Assist Article Suggestion data. # Agent Assist Article Suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Article Suggestion and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document} |
| "title": "A String", # Article title. |
| "uri": "A String", # Article URI. |
| }, |
| "createTime": "A String", # The time at which this annotation was created. |
| "dialogflowInteraction": { # Dialogflow interaction data. # Dialogflow interaction data. |
| "confidence": 3.14, # The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "dialogflowIntentId": "A String", # The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent} |
| }, |
| "endBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "faqAnswer": { # Agent Assist frequently-asked-question answer data. # Agent Assist FAQ answer data. |
| "answer": "A String", # The piece of text from the `source` knowledge base document. |
| "confidenceScore": 3.14, # The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the FAQ answer and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record}. |
| "question": "A String", # The corresponding FAQ question. |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}. |
| }, |
| "smartComposeSuggestion": { # Agent Assist Smart Compose suggestion data. # Agent Assist Smart Compose suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Compose suggestion and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "suggestion": "A String", # The content of the suggestion. |
| }, |
| "smartReply": { # Agent Assist Smart Reply data. # Agent Assist Smart Reply data. |
| "confidenceScore": 3.14, # The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Reply and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "reply": "A String", # The content of the reply. |
| }, |
| "startBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| }, |
| ], |
| "startTime": "A String", # The time at which the conversation started. |
| "transcript": { # A message representing the transcript of a conversation. # Output only. The conversation transcript. |
| "transcriptSegments": [ # A list of sequential transcript segments that comprise the conversation. |
| { # A segment of a full transcript. |
| "channelTag": 42, # For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset. |
| "languageCode": "A String", # The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". |
| "segmentParticipant": { # The call participant speaking for a given utterance. # The participant of this segment. |
| "dialogflowParticipant": "A String", # The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant} |
| "role": "A String", # The role of the participant. |
| }, |
| "text": "A String", # The text of this segment. |
| "words": [ # A list of the word-specific information for each word in the segment. |
| { # Word-level info for words in a transcript. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset. |
| "endOffset": "A String", # Time offset of the end of this word relative to the beginning of the total conversation. |
| "startOffset": "A String", # Time offset of the start of this word relative to the beginning of the total conversation. |
| "word": "A String", # The word itself. Includes punctuation marks that surround the word. |
| }, |
| ], |
| }, |
| ], |
| }, |
| "ttl": "A String", # Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time. |
| "turnCount": 42, # Output only. The number of turns in the conversation. |
| "updateTime": "A String", # Output only. The most recent time at which the conversation was updated. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, view=None, x__xgafv=None)</code> |
| <pre>Lists conversations. |
| |
| Args: |
| parent: string, Required. The parent resource of the conversation. (required) |
| filter: string, A filter to reduce results to a specific subset. Useful for querying conversations with specific properties. |
| pageSize: integer, The maximum number of conversations to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available. |
| pageToken: string, The value returned by the last `ListConversationsResponse`. This value indicates that this is a continuation of a prior `ListConversations` call and that the system should return the next page of data. |
| view: string, The level of details of the conversation. Default is `BASIC`. |
| Allowed values |
| CONVERSATION_VIEW_UNSPECIFIED - Not specified. Defaults to FULL on GetConversationRequest and BASIC for ListConversationsRequest. |
| BASIC - Transcript field is not populated in the response. |
| FULL - All fields are populated. |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # The response of listing conversations. |
| "conversations": [ # The conversations that match the request. |
| { # The conversation resource. |
| "agentId": "A String", # An opaque, user-specified string representing the human agent who handled the conversation. |
| "callMetadata": { # Call-specific metadata. # Call-specific metadata. |
| "agentChannel": 42, # The audio channel that contains the agent. |
| "customerChannel": 42, # The audio channel that contains the customer. |
| }, |
| "createTime": "A String", # Output only. The time at which the conversation was created. |
| "dataSource": { # The conversation source, which is a combination of transcript and audio. # The source of the audio and transcription for the conversation. |
| "dialogflowSource": { # A Dialogflow source of conversation data. # The source when the conversation comes from Dialogflow. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "dialogflowConversation": "A String", # Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| }, |
| "gcsSource": { # A Cloud Storage source of conversation data. # A Cloud Storage location specification for the audio and transcript. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "transcriptUri": "A String", # Immutable. Cloud Storage URI that points to a file that contains the conversation transcript. |
| }, |
| }, |
| "dialogflowIntents": { # Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent} |
| "a_key": { # The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| }, |
| }, |
| "duration": "A String", # Output only. The duration of the conversation. |
| "expireTime": "A String", # The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted. |
| "labels": { # A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry. |
| "a_key": "A String", |
| }, |
| "languageCode": "A String", # A user-specified language code for the conversation. |
| "latestAnalysis": { # The analysis resource. # Output only. The conversation's latest analysis, if one exists. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| }, |
| "medium": "A String", # Immutable. The conversation medium. |
| "name": "A String", # Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| "runtimeAnnotations": [ # Output only. The annotations that were generated during the customer and agent interaction. |
| { # An annotation that was generated during the customer and agent interaction. |
| "annotationId": "A String", # The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation} |
| "answerFeedback": { # The feedback that the customer has about a certain answer in the conversation. # The feedback that the customer has about the answer in `data`. |
| "clicked": True or False, # Indicates whether an answer or item was clicked by the human agent. |
| "correctnessLevel": "A String", # The correctness level of an answer. |
| "displayed": True or False, # Indicates whether an answer or item was displayed to the human agent in the agent desktop UI. |
| }, |
| "articleSuggestion": { # Agent Assist Article Suggestion data. # Agent Assist Article Suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Article Suggestion and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document} |
| "title": "A String", # Article title. |
| "uri": "A String", # Article URI. |
| }, |
| "createTime": "A String", # The time at which this annotation was created. |
| "dialogflowInteraction": { # Dialogflow interaction data. # Dialogflow interaction data. |
| "confidence": 3.14, # The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "dialogflowIntentId": "A String", # The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent} |
| }, |
| "endBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "faqAnswer": { # Agent Assist frequently-asked-question answer data. # Agent Assist FAQ answer data. |
| "answer": "A String", # The piece of text from the `source` knowledge base document. |
| "confidenceScore": 3.14, # The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the FAQ answer and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record}. |
| "question": "A String", # The corresponding FAQ question. |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}. |
| }, |
| "smartComposeSuggestion": { # Agent Assist Smart Compose suggestion data. # Agent Assist Smart Compose suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Compose suggestion and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "suggestion": "A String", # The content of the suggestion. |
| }, |
| "smartReply": { # Agent Assist Smart Reply data. # Agent Assist Smart Reply data. |
| "confidenceScore": 3.14, # The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Reply and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "reply": "A String", # The content of the reply. |
| }, |
| "startBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| }, |
| ], |
| "startTime": "A String", # The time at which the conversation started. |
| "transcript": { # A message representing the transcript of a conversation. # Output only. The conversation transcript. |
| "transcriptSegments": [ # A list of sequential transcript segments that comprise the conversation. |
| { # A segment of a full transcript. |
| "channelTag": 42, # For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset. |
| "languageCode": "A String", # The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". |
| "segmentParticipant": { # The call participant speaking for a given utterance. # The participant of this segment. |
| "dialogflowParticipant": "A String", # The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant} |
| "role": "A String", # The role of the participant. |
| }, |
| "text": "A String", # The text of this segment. |
| "words": [ # A list of the word-specific information for each word in the segment. |
| { # Word-level info for words in a transcript. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset. |
| "endOffset": "A String", # Time offset of the end of this word relative to the beginning of the total conversation. |
| "startOffset": "A String", # Time offset of the start of this word relative to the beginning of the total conversation. |
| "word": "A String", # The word itself. Includes punctuation marks that surround the word. |
| }, |
| ], |
| }, |
| ], |
| }, |
| "ttl": "A String", # Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time. |
| "turnCount": 42, # Output only. The number of turns in the conversation. |
| "updateTime": "A String", # Output only. The most recent time at which the conversation was updated. |
| }, |
| ], |
| "nextPageToken": "A String", # A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="list_next">list_next(previous_request, previous_response)</code> |
| <pre>Retrieves the next page of results. |
| |
| Args: |
| previous_request: The request for the previous page. (required) |
| previous_response: The response from the request for the previous page. (required) |
| |
| Returns: |
| A request object that you can call 'execute()' on to request the next |
| page. Returns None if there are no more items in the collection. |
| </pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="patch">patch(name, body=None, updateMask=None, x__xgafv=None)</code> |
| <pre>Updates a conversation. |
| |
| Args: |
| name: string, Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation} (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # The conversation resource. |
| "agentId": "A String", # An opaque, user-specified string representing the human agent who handled the conversation. |
| "callMetadata": { # Call-specific metadata. # Call-specific metadata. |
| "agentChannel": 42, # The audio channel that contains the agent. |
| "customerChannel": 42, # The audio channel that contains the customer. |
| }, |
| "createTime": "A String", # Output only. The time at which the conversation was created. |
| "dataSource": { # The conversation source, which is a combination of transcript and audio. # The source of the audio and transcription for the conversation. |
| "dialogflowSource": { # A Dialogflow source of conversation data. # The source when the conversation comes from Dialogflow. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "dialogflowConversation": "A String", # Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| }, |
| "gcsSource": { # A Cloud Storage source of conversation data. # A Cloud Storage location specification for the audio and transcript. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "transcriptUri": "A String", # Immutable. Cloud Storage URI that points to a file that contains the conversation transcript. |
| }, |
| }, |
| "dialogflowIntents": { # Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent} |
| "a_key": { # The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| }, |
| }, |
| "duration": "A String", # Output only. The duration of the conversation. |
| "expireTime": "A String", # The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted. |
| "labels": { # A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry. |
| "a_key": "A String", |
| }, |
| "languageCode": "A String", # A user-specified language code for the conversation. |
| "latestAnalysis": { # The analysis resource. # Output only. The conversation's latest analysis, if one exists. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| }, |
| "medium": "A String", # Immutable. The conversation medium. |
| "name": "A String", # Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| "runtimeAnnotations": [ # Output only. The annotations that were generated during the customer and agent interaction. |
| { # An annotation that was generated during the customer and agent interaction. |
| "annotationId": "A String", # The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation} |
| "answerFeedback": { # The feedback that the customer has about a certain answer in the conversation. # The feedback that the customer has about the answer in `data`. |
| "clicked": True or False, # Indicates whether an answer or item was clicked by the human agent. |
| "correctnessLevel": "A String", # The correctness level of an answer. |
| "displayed": True or False, # Indicates whether an answer or item was displayed to the human agent in the agent desktop UI. |
| }, |
| "articleSuggestion": { # Agent Assist Article Suggestion data. # Agent Assist Article Suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Article Suggestion and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document} |
| "title": "A String", # Article title. |
| "uri": "A String", # Article URI. |
| }, |
| "createTime": "A String", # The time at which this annotation was created. |
| "dialogflowInteraction": { # Dialogflow interaction data. # Dialogflow interaction data. |
| "confidence": 3.14, # The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "dialogflowIntentId": "A String", # The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent} |
| }, |
| "endBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "faqAnswer": { # Agent Assist frequently-asked-question answer data. # Agent Assist FAQ answer data. |
| "answer": "A String", # The piece of text from the `source` knowledge base document. |
| "confidenceScore": 3.14, # The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the FAQ answer and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record}. |
| "question": "A String", # The corresponding FAQ question. |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}. |
| }, |
| "smartComposeSuggestion": { # Agent Assist Smart Compose suggestion data. # Agent Assist Smart Compose suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Compose suggestion and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "suggestion": "A String", # The content of the suggestion. |
| }, |
| "smartReply": { # Agent Assist Smart Reply data. # Agent Assist Smart Reply data. |
| "confidenceScore": 3.14, # The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Reply and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "reply": "A String", # The content of the reply. |
| }, |
| "startBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| }, |
| ], |
| "startTime": "A String", # The time at which the conversation started. |
| "transcript": { # A message representing the transcript of a conversation. # Output only. The conversation transcript. |
| "transcriptSegments": [ # A list of sequential transcript segments that comprise the conversation. |
| { # A segment of a full transcript. |
| "channelTag": 42, # For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset. |
| "languageCode": "A String", # The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". |
| "segmentParticipant": { # The call participant speaking for a given utterance. # The participant of this segment. |
| "dialogflowParticipant": "A String", # The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant} |
| "role": "A String", # The role of the participant. |
| }, |
| "text": "A String", # The text of this segment. |
| "words": [ # A list of the word-specific information for each word in the segment. |
| { # Word-level info for words in a transcript. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset. |
| "endOffset": "A String", # Time offset of the end of this word relative to the beginning of the total conversation. |
| "startOffset": "A String", # Time offset of the start of this word relative to the beginning of the total conversation. |
| "word": "A String", # The word itself. Includes punctuation marks that surround the word. |
| }, |
| ], |
| }, |
| ], |
| }, |
| "ttl": "A String", # Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time. |
| "turnCount": 42, # Output only. The number of turns in the conversation. |
| "updateTime": "A String", # Output only. The most recent time at which the conversation was updated. |
| } |
| |
| updateMask: string, The list of fields to be updated. |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # The conversation resource. |
| "agentId": "A String", # An opaque, user-specified string representing the human agent who handled the conversation. |
| "callMetadata": { # Call-specific metadata. # Call-specific metadata. |
| "agentChannel": 42, # The audio channel that contains the agent. |
| "customerChannel": 42, # The audio channel that contains the customer. |
| }, |
| "createTime": "A String", # Output only. The time at which the conversation was created. |
| "dataSource": { # The conversation source, which is a combination of transcript and audio. # The source of the audio and transcription for the conversation. |
| "dialogflowSource": { # A Dialogflow source of conversation data. # The source when the conversation comes from Dialogflow. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "dialogflowConversation": "A String", # Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| }, |
| "gcsSource": { # A Cloud Storage source of conversation data. # A Cloud Storage location specification for the audio and transcript. |
| "audioUri": "A String", # Cloud Storage URI that points to a file that contains the conversation audio. |
| "transcriptUri": "A String", # Immutable. Cloud Storage URI that points to a file that contains the conversation transcript. |
| }, |
| }, |
| "dialogflowIntents": { # Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent} |
| "a_key": { # The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| }, |
| }, |
| "duration": "A String", # Output only. The duration of the conversation. |
| "expireTime": "A String", # The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted. |
| "labels": { # A map for the user to specify any custom fields. A maximum of 20 labels per conversation is allowed, with a maximum of 256 characters per entry. |
| "a_key": "A String", |
| }, |
| "languageCode": "A String", # A user-specified language code for the conversation. |
| "latestAnalysis": { # The analysis resource. # Output only. The conversation's latest analysis, if one exists. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| }, |
| "medium": "A String", # Immutable. The conversation medium. |
| "name": "A String", # Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation} |
| "runtimeAnnotations": [ # Output only. The annotations that were generated during the customer and agent interaction. |
| { # An annotation that was generated during the customer and agent interaction. |
| "annotationId": "A String", # The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation} |
| "answerFeedback": { # The feedback that the customer has about a certain answer in the conversation. # The feedback that the customer has about the answer in `data`. |
| "clicked": True or False, # Indicates whether an answer or item was clicked by the human agent. |
| "correctnessLevel": "A String", # The correctness level of an answer. |
| "displayed": True or False, # Indicates whether an answer or item was displayed to the human agent in the agent desktop UI. |
| }, |
| "articleSuggestion": { # Agent Assist Article Suggestion data. # Agent Assist Article Suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this article is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Article Suggestion and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document} |
| "title": "A String", # Article title. |
| "uri": "A String", # Article URI. |
| }, |
| "createTime": "A String", # The time at which this annotation was created. |
| "dialogflowInteraction": { # Dialogflow interaction data. # Dialogflow interaction data. |
| "confidence": 3.14, # The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "dialogflowIntentId": "A String", # The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent} |
| }, |
| "endBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "faqAnswer": { # Agent Assist frequently-asked-question answer data. # Agent Assist FAQ answer data. |
| "answer": "A String", # The piece of text from the `source` knowledge base document. |
| "confidenceScore": 3.14, # The system's confidence score that this answer is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the FAQ answer and the document that it originates from. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record}. |
| "question": "A String", # The corresponding FAQ question. |
| "source": "A String", # The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}. |
| }, |
| "smartComposeSuggestion": { # Agent Assist Smart Compose suggestion data. # Agent Assist Smart Compose suggestion data. |
| "confidenceScore": 3.14, # The system's confidence score that this suggestion is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Compose suggestion and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "suggestion": "A String", # The content of the suggestion. |
| }, |
| "smartReply": { # Agent Assist Smart Reply data. # Agent Assist Smart Reply data. |
| "confidenceScore": 3.14, # The system's confidence score that this reply is a good match for this conversation, ranging from 0.0 (completely uncertain) to 1.0 (completely certain). |
| "metadata": { # Map that contains metadata about the Smart Reply and the document from which it originates. |
| "a_key": "A String", |
| }, |
| "queryRecord": "A String", # Name of the query record. Format: projects/{project}/locations/{location}/queryRecords/{query_record} |
| "reply": "A String", # The content of the reply. |
| }, |
| "startBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| }, |
| ], |
| "startTime": "A String", # The time at which the conversation started. |
| "transcript": { # A message representing the transcript of a conversation. # Output only. The conversation transcript. |
| "transcriptSegments": [ # A list of sequential transcript segments that comprise the conversation. |
| { # A segment of a full transcript. |
| "channelTag": 42, # For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset. |
| "languageCode": "A String", # The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US". |
| "segmentParticipant": { # The call participant speaking for a given utterance. # The participant of this segment. |
| "dialogflowParticipant": "A String", # The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant} |
| "role": "A String", # The role of the participant. |
| }, |
| "text": "A String", # The text of this segment. |
| "words": [ # A list of the word-specific information for each word in the segment. |
| { # Word-level info for words in a transcript. |
| "confidence": 3.14, # A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset. |
| "endOffset": "A String", # Time offset of the end of this word relative to the beginning of the total conversation. |
| "startOffset": "A String", # Time offset of the start of this word relative to the beginning of the total conversation. |
| "word": "A String", # The word itself. Includes punctuation marks that surround the word. |
| }, |
| ], |
| }, |
| ], |
| }, |
| "ttl": "A String", # Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time. |
| "turnCount": 42, # Output only. The number of turns in the conversation. |
| "updateTime": "A String", # Output only. The most recent time at which the conversation was updated. |
| }</pre> |
| </div> |
| |
| </body></html> |