{ "discoveryVersion": "v1", "auth": { "oauth2": { "scopes": { "https://www.googleapis.com/auth/cloud-platform": { "description": "See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account." } } } }, "resources": { "projects": { "resources": { "locations": { "resources": { "phraseMatchers": { "methods": { "get": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers/{phraseMatchersId}", "path": "v1alpha1/{+name}", "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.phraseMatchers.get", "description": "Gets a phrase matcher.", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "parameters": { "name": { "required": true, "description": "Required. The name of the phrase matcher to get.", "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/phraseMatchers/[^/]+$" } } }, "list": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListPhraseMatchersResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers", "path": "v1alpha1/{+parent}/phraseMatchers", "parameters": { "pageSize": { "description": "The maximum number of phrase matchers to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "location": "query", "format": "int32" }, "parent": { "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string", "description": "Required. The parent resource of the phrase matcher." }, "filter": { "type": "string", "location": "query", "description": "A filter to reduce results to a specific subset. Useful for querying phrase matchers with specific properties." }, "pageToken": { "description": "The value returned by the last `ListPhraseMatchersResponse`. This value indicates that this is a continuation of a prior `ListPhraseMatchers` call and that the system should return the next page of data.", "type": "string", "location": "query" } }, "id": "contactcenterinsights.projects.locations.phraseMatchers.list", "description": "Lists phrase matchers." }, "delete": { "parameters": { "name": { "type": "string", "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/phraseMatchers/[^/]+$", "description": "Required. The name of the phrase matcher to delete." } }, "description": "Deletes a phrase matcher.", "response": { "$ref": "GoogleProtobufEmpty" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers/{phraseMatchersId}", "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "id": "contactcenterinsights.projects.locations.phraseMatchers.delete", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ] }, "patch": { "parameterOrder": [ "name" ], "description": "Updates a phrase matcher.", "id": "contactcenterinsights.projects.locations.phraseMatchers.patch", "parameters": { "updateMask": { "format": "google-fieldmask", "type": "string", "description": "The list of fields to be updated.", "location": "query" }, "name": { "type": "string", "description": "The resource name of the phrase matcher. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/phraseMatchers/[^/]+$" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers/{phraseMatchersId}", "httpMethod": "PATCH", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "create": { "parameterOrder": [ "parent" ], "path": "v1alpha1/{+parent}/phraseMatchers", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/phraseMatchers", "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.phraseMatchers.create", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "description": "Creates a phrase matcher.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "parent": { "type": "string", "required": true, "location": "path", "description": "Required. The parent resource of the phrase matcher. Required. The location to create a phrase matcher for. Format: `projects//locations/` or `projects//locations/`", "pattern": "^projects/[^/]+/locations/[^/]+$" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" } } } }, "insightsdata": { "methods": { "export": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/insightsdata:export", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "parent": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "description": "Required. The parent resource to export data from.", "location": "path" } }, "description": "Export insights data to a destination defined in the request body.", "response": { "$ref": "GoogleLongrunningOperation" }, "path": "v1alpha1/{+parent}/insightsdata:export", "parameterOrder": [ "parent" ], "id": "contactcenterinsights.projects.locations.insightsdata.export", "httpMethod": "POST" } } }, "autoLabelingRules": { "methods": { "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "parameters": { "name": { "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/autoLabelingRules/[^/]+$", "required": true, "description": "Required. The name of the auto labeling rule to delete. Format: projects/{project}/locations/{location}/autoLabelingRules/{auto_labeling_rule}" } }, "path": "v1alpha1/{+name}", "description": "Deletes an auto labeling rule.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.autoLabelingRules.delete", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules/{autoLabelingRulesId}" }, "get": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}", "httpMethod": "GET", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "description": "Gets an auto labeling rule.", "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.autoLabelingRules.get", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/autoLabelingRules/[^/]+$", "type": "string", "required": true, "location": "path", "description": "Required. The name of the auto labeling rule to get. Format: projects/{project}/locations/{location}/autoLabelingRules/{auto_labeling_rule}" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules/{autoLabelingRulesId}" }, "test": { "parameters": { "parent": { "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The parent project and location. Format: projects/{project}/locations/{location}", "type": "string" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules:test", "parameterOrder": [ "parent" ], "description": "Tests auto labeling rules against a conversation.", "path": "v1alpha1/{+parent}/autoLabelingRules:test", "httpMethod": "POST", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleResponse" }, "id": "contactcenterinsights.projects.locations.autoLabelingRules.test", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleRequest" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "create": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "path": "v1alpha1/{+parent}/autoLabelingRules", "parameters": { "autoLabelingRuleId": { "type": "string", "location": "query", "description": "Required. The ID to use for the auto labeling rule, which will become the final component of the auto labeling rule's resource name." }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string", "location": "path", "required": true, "description": "Required. The project and location to create the auto labeling rule in. Format: projects/{project}/locations/{location}" } }, "id": "contactcenterinsights.projects.locations.autoLabelingRules.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules", "description": "Creates an auto labeling rule." }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAutoLabelingRulesResponse" }, "path": "v1alpha1/{+parent}/autoLabelingRules", "description": "Lists auto labeling rules.", "id": "contactcenterinsights.projects.locations.autoLabelingRules.list", "parameters": { "parent": { "description": "Required. The project and location to list auto labeling rules from. Format: projects/{project}/locations/{location}", "required": true, "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$" }, "pageToken": { "description": "Optional. The next_page_token value returned from a previous List request, if any.", "type": "string", "location": "query" }, "pageSize": { "description": "Optional. The maximum number of auto labeling rules to return in a single response. If unspecified, at most 100 rules will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "type": "integer", "location": "query", "format": "int32" } } }, "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.autoLabelingRules.patch", "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/autoLabelingRules/{autoLabelingRulesId}", "httpMethod": "PATCH", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "description": "Updates an auto labeling rule.", "parameters": { "name": { "type": "string", "required": true, "description": "Identifier. The resource name of the auto-labeling rule. Format: projects/{project}/locations/{location}/autoLabelingRules/{auto_labeling_rule}", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/autoLabelingRules/[^/]+$" }, "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated.", "location": "query" } } } } }, "qaQuestionTags": { "methods": { "get": { "parameters": { "name": { "description": "Required. The name of the QaQuestionTag to get.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/qaQuestionTags/[^/]+$", "required": true, "type": "string" } }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags/{qaQuestionTagsId}", "path": "v1alpha1/{+name}", "id": "contactcenterinsights.projects.locations.qaQuestionTags.get", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "description": "Gets a QaQuestionTag.", "httpMethod": "GET" }, "delete": { "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ], "httpMethod": "DELETE", "description": "Deletes a QaQuestionTag.", "id": "contactcenterinsights.projects.locations.qaQuestionTags.delete", "path": "v1alpha1/{+name}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/qaQuestionTags/[^/]+$", "description": "Required. The name of the QaQuestionTag to delete.", "location": "path", "type": "string", "required": true } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags/{qaQuestionTagsId}" }, "list": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags", "httpMethod": "GET", "path": "v1alpha1/{+parent}/qaQuestionTags", "parameterOrder": [ "parent" ], "parameters": { "filter": { "description": "Optional. A filter to reduce results to a specific subset. Supports conjunctions (ie. AND operators). Supported fields include the following: * `project_id` - id of the project to list tags for * `qa_scorecard_id` - id of the scorecard to list tags for * `revision_id` - id of the scorecard revision to list tags for` * `qa_question_id - id of the question to list tags for`", "type": "string", "location": "query" }, "parent": { "description": "Required. The parent resource of the QaQuestionTags.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "location": "path" } }, "id": "contactcenterinsights.projects.locations.qaQuestionTags.list", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionTagsResponse" }, "description": "Lists the question tags." }, "create": { "id": "contactcenterinsights.projects.locations.qaQuestionTags.create", "parameterOrder": [ "parent" ], "parameters": { "parent": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The parent resource of the QaQuestionTag.", "location": "path", "required": true }, "qaQuestionTagId": { "description": "Optional. A unique ID for the new QaQuestionTag. This ID will become the final component of the QaQuestionTag's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`.", "type": "string", "location": "query" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags", "path": "v1alpha1/{+parent}/qaQuestionTags", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Creates a QaQuestionTag.", "httpMethod": "POST" }, "patch": { "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/qaQuestionTags/[^/]+$", "description": "Identifier. Resource name for the QaQuestionTag Format projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag} In the above format, the last segment, i.e., qa_question_tag, is a server-generated ID corresponding to the tag resource.", "location": "path", "type": "string", "required": true }, "updateMask": { "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `qa_question_tag_name` - the name of the tag * `qa_question_ids` - the list of questions the tag applies to", "type": "string", "location": "query", "format": "google-fieldmask" } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.qaQuestionTags.patch", "httpMethod": "PATCH", "description": "Updates a QaQuestionTag.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaQuestionTags/{qaQuestionTagsId}" } } }, "authorizedViewSets": { "methods": { "patch": { "id": "contactcenterinsights.projects.locations.authorizedViewSets.patch", "path": "v1alpha1/{+name}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "name": { "required": true, "description": "Identifier. The resource name of the AuthorizedViewSet. Format: projects/{project}/locations/{location}/authorizedViewSets/{authorized_view_set}", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "type": "string" }, "updateMask": { "type": "string", "location": "query", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `display_name`", "format": "google-fieldmask" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}", "description": "Updates an AuthorizedViewSet.", "httpMethod": "PATCH", "parameterOrder": [ "name" ] }, "list": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets", "parameters": { "pageSize": { "description": "Optional. The maximum number of view sets to return in the response. If the 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.", "location": "query", "type": "integer", "format": "int32" }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListAuthorizedViewSetsResponse`. This value indicates that this is a continuation of a prior `ListAuthorizedViewSets` call and that the system should return the next page of data.", "location": "query" }, "orderBy": { "location": "query", "description": "Optional. The order by expression to order authorized view sets listed in the response.", "type": "string" }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The parent resource of the AuthorizedViewSets.", "location": "path", "type": "string", "required": true }, "filter": { "location": "query", "type": "string", "description": "Optional. The filter expression to filter authorized view sets listed in the response." } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.list", "httpMethod": "GET", "description": "List AuthorizedViewSets", "path": "v1alpha1/{+parent}/authorizedViewSets", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewSetsResponse" } }, "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.delete", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "name": { "description": "Required. The name of the AuthorizedViewSet to delete.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "type": "string", "location": "path", "required": true }, "force": { "location": "query", "type": "boolean", "description": "Optional. If set to true, all of this AuthorizedViewSet's child resources will also be deleted. Otherwise, the request will only succeed if it has none." } }, "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "httpMethod": "DELETE", "description": "Deletes an AuthorizedViewSet.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}" }, "get": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "httpMethod": "GET", "description": "Get AuthorizedViewSet", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.get", "parameters": { "name": { "description": "Required. The name of the AuthorizedViewSet to get.", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "type": "string" } }, "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}" }, "create": { "httpMethod": "POST", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "parameterOrder": [ "parent" ], "description": "Create AuthorizedViewSet", "id": "contactcenterinsights.projects.locations.authorizedViewSets.create", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "parameters": { "authorizedViewSetId": { "type": "string", "description": "Optional. A unique ID for the new AuthorizedViewSet. This ID will become the final component of the AuthorizedViewSet's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`. See https://google.aip.dev/122#resource-id-segments", "location": "query" }, "parent": { "location": "path", "description": "Required. The parent resource of the AuthorizedViewSet.", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets", "path": "v1alpha1/{+parent}/authorizedViewSets", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] } }, "resources": { "authorizedViews": { "methods": { "queryPerformanceOverview": { "path": "v1alpha1/{+parent}:queryPerformanceOverview", "parameters": { "parent": { "location": "path", "description": "Required. The parent resource of the conversations to derive performance stats from. \"projects/{project}/locations/{location}\"", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "type": "string" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:queryPerformanceOverview", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.queryPerformanceOverview", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Generates a summary of predefined performance metrics for a set of conversations. Conversations can be specified by specifying a time window and an agent id, for now. The summary includes a comparison of metrics computed for conversations in the previous time period, and also a comparison with peers in the same time period." }, "search": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SearchAuthorizedViewsResponse" }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.search", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/authorizedViews:search", "parameterOrder": [ "parent" ], "parameters": { "pageToken": { "description": "Optional. The value returned by the last `ListAuthorizedViewsResponse`. This value indicates that this is a continuation of a prior `ListAuthorizedViews` call and that the system should return the next page of data.", "type": "string", "location": "query" }, "orderBy": { "description": "Optional. The order by expression to order authorized views listed in the response.", "type": "string", "location": "query" }, "pageSize": { "location": "query", "format": "int32", "description": "Optional. The maximum number of view to return in the response. If the 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.", "type": "integer" }, "query": { "location": "query", "description": "Optional. The query expression to search authorized views.", "type": "string" }, "parent": { "required": true, "type": "string", "description": "Required. The parent resource of the AuthorizedViews. If the parent is set to `-`, all AuthorizedViews under the location will be returned.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews:search", "description": "SearchAuthorizedViewSets" }, "get": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}", "path": "v1alpha1/{+name}", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.get", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "description": "Get AuthorizedView", "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "parameters": { "name": { "description": "Required. The name of the AuthorizedView to get.", "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "type": "string" } } }, "getIamPolicy": { "response": { "$ref": "GoogleIamV1Policy" }, "parameterOrder": [ "resource" ], "parameters": { "resource": { "required": true, "description": "REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "type": "string" }, "options.requestedPolicyVersion": { "description": "Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).", "format": "int32", "type": "integer", "location": "query" } }, "path": "v1alpha1/{+resource}:getIamPolicy", "httpMethod": "GET", "description": "Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:getIamPolicy", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.getIamPolicy", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "queryMetrics": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsRequest" }, "description": "Query metrics.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:queryMetrics", "parameterOrder": [ "location" ], "parameters": { "location": { "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "type": "string" } }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.queryMetrics", "path": "v1alpha1/{+location}:queryMetrics", "response": { "$ref": "GoogleLongrunningOperation" }, "httpMethod": "POST" }, "create": { "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "parent": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "required": true, "description": "Required. The parent resource of the AuthorizedView.", "type": "string" }, "authorizedViewId": { "location": "query", "description": "Optional. A unique ID for the new AuthorizedView. This ID will become the final component of the AuthorizedView's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`. See https://google.aip.dev/122#resource-id-segments", "type": "string" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "path": "v1alpha1/{+parent}/authorizedViews", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.create", "description": "Create AuthorizedView", "httpMethod": "POST" }, "delete": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}", "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.delete", "description": "Deletes an AuthorizedView.", "path": "v1alpha1/{+name}", "parameters": { "name": { "location": "path", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "description": "Required. The name of the AuthorizedView to delete." } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" } }, "setIamPolicy": { "path": "v1alpha1/{+resource}:setIamPolicy", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "request": { "$ref": "GoogleIamV1SetIamPolicyRequest" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:setIamPolicy", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.setIamPolicy", "parameters": { "resource": { "type": "string", "description": "REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "required": true } }, "response": { "$ref": "GoogleIamV1Policy" }, "parameterOrder": [ "resource" ], "description": "Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors." }, "list": { "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewsResponse" }, "path": "v1alpha1/{+parent}/authorizedViews", "parameters": { "pageToken": { "location": "query", "description": "Optional. The value returned by the last `ListAuthorizedViewsResponse`. This value indicates that this is a continuation of a prior `ListAuthorizedViews` call and that the system should return the next page of data.", "type": "string" }, "filter": { "description": "Optional. The filter expression to filter authorized views listed in the response.", "location": "query", "type": "string" }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+$", "required": true, "type": "string", "location": "path", "description": "Required. The parent resource of the AuthorizedViews. If the parent is set to `-`, all AuthorizedViews under the location will be returned." }, "pageSize": { "description": "Optional. The maximum number of view to return in the response. If the value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "location": "query", "format": "int32" }, "orderBy": { "description": "Optional. The order by expression to order authorized views listed in the response.", "type": "string", "location": "query" } }, "description": "List AuthorizedViewSets", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.list", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews" }, "patch": { "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "httpMethod": "PATCH", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}", "description": "Updates an AuthorizedView.", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.patch", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "required": true, "location": "path", "type": "string", "description": "Identifier. The resource name of the AuthorizedView. Format: projects/{project}/locations/{location}/authorizedViewSets/{authorized_view_set}/authorizedViews/{authorized_view}" }, "updateMask": { "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `conversation_filter` * `display_name`", "location": "query", "type": "string" } } }, "testIamPermissions": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "resource": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "type": "string", "required": true, "description": "REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field." } }, "path": "v1alpha1/{+resource}:testIamPermissions", "description": "Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may \"fail open\" without warning.", "response": { "$ref": "GoogleIamV1TestIamPermissionsResponse" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.testIamPermissions", "request": { "$ref": "GoogleIamV1TestIamPermissionsRequest" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:testIamPermissions", "httpMethod": "POST", "parameterOrder": [ "resource" ] }, "generativeInsights": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsRequest" }, "httpMethod": "POST", "response": { "$ref": "GoogleLongrunningOperation" }, "parameters": { "location": { "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "type": "string", "location": "path", "required": true } }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.generativeInsights", "path": "v1alpha1/{+location}:generativeInsights", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}:generativeInsights", "parameterOrder": [ "location" ], "description": "Natural language based Insights which powers the next generation of dashboards in Insights. Next generation of QueryMetrics." } }, "resources": { "conversations": { "methods": { "generateSignedAudio": { "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.generateSignedAudio", "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}:generateSignedAudio", "description": "Gets the signed URI for the audio for the given conversation.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "description": "Required. The name of the conversation to sign.", "location": "path", "required": true, "type": "string" } }, "path": "v1alpha1/{+name}:generateSignedAudio" }, "list": { "path": "v1alpha1/{+parent}/conversations", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Lists conversations.", "httpMethod": "GET", "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.list", "parameters": { "orderBy": { "type": "string", "description": "Optional. The attribute by which to order conversations in the response. If empty, conversations will be ordered by descending creation time. Supported values are one of the following: * create_time * customer_satisfaction_rating * duration * latest_analysis * start_time * turn_count The default sort order is ascending. To specify order, append `asc` or `desc` (`create_time desc`). For more details, see [Google AIPs Ordering](https://google.aip.dev/132#ordering).", "location": "query" }, "filter": { "type": "string", "description": "A filter to reduce results to a specific subset. Useful for querying conversations with specific properties.", "location": "query" }, "view": { "description": "The level of details of the conversation. Default is `BASIC`.", "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC", "FULL_WITH_STRUCTURED_TRANSCRIPT" ], "location": "query", "type": "string", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript.", "Populates all fields in the conversation, including the structured transcript parts." ] }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "location": "path", "type": "string", "required": true, "description": "Required. The parent resource of the conversation." }, "pageSize": { "type": "integer", "format": "int32", "description": "The maximum number of conversations to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "location": "query" }, "pageToken": { "description": "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.", "location": "query", "type": "string" } } }, "calculateStats": { "parameterOrder": [ "location" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse" }, "parameters": { "location": { "type": "string", "required": true, "description": "Required. The location of the conversations.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$" }, "filter": { "description": "A filter to reduce results to a specific subset. This field is useful for getting statistics about conversations with specific properties.", "location": "query", "type": "string" } }, "path": "v1alpha1/{+location}/conversations:calculateStats", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations:calculateStats", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.calculateStats", "httpMethod": "GET", "description": "Gets conversation statistics." }, "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "description": "Deletes a conversation.", "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}", "parameters": { "name": { "description": "Required. The name of the conversation to delete.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "location": "path", "required": true }, "force": { "type": "boolean", "description": "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.", "location": "query" } }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.delete" }, "get": { "description": "Gets a conversation.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.get", "httpMethod": "GET", "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "parameters": { "name": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "required": true, "type": "string", "description": "Required. The name of the conversation to get." }, "view": { "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript.", "Populates all fields in the conversation, including the structured transcript parts." ], "description": "The level of details of the conversation. Default is `FULL`.", "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC", "FULL_WITH_STRUCTURED_TRANSCRIPT" ], "type": "string", "location": "query" } } } }, "resources": { "feedbackLabels": { "methods": { "create": { "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels", "description": "Create feedback label.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "path": "v1alpha1/{+parent}/feedbackLabels", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.create", "parameters": { "feedbackLabelId": { "type": "string", "location": "query", "description": "Optional. The ID of the feedback label to create. If one is not specified it will be generated by the server." }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "type": "string", "description": "Required. The parent resource of the feedback label.", "location": "path", "required": true } } }, "get": { "parameters": { "name": { "location": "path", "description": "Required. The name of the feedback label to get.", "required": true, "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$" } }, "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "parameterOrder": [ "name" ], "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.get", "description": "Get feedback label." }, "delete": { "path": "v1alpha1/{+name}", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "description": "Delete feedback label.", "parameters": { "name": { "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "required": true, "description": "Required. The name of the feedback label to delete." } }, "response": { "$ref": "GoogleProtobufEmpty" }, "httpMethod": "DELETE", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "patch": { "description": "Update feedback label.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.patch", "path": "v1alpha1/{+name}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}", "type": "string", "required": true, "location": "path" }, "updateMask": { "type": "string", "description": "Required. The list of fields to be updated.", "format": "google-fieldmask", "location": "query" } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "httpMethod": "PATCH", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/feedbackLabels", "parameters": { "pageSize": { "location": "query", "format": "int32", "type": "integer", "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size." }, "pageToken": { "description": "Optional. The value returned by the last `ListFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListFeedbackLabels` call and that the system should return the next page of data.", "location": "query", "type": "string" }, "filter": { "type": "string", "location": "query", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Automatically sorts by conversation ID. To sort by all feedback labels in a project see ListAllFeedbackLabels. Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING" }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "description": "Required. The parent resource of the feedback labels.", "location": "path", "type": "string", "required": true } }, "path": "v1alpha1/{+parent}/feedbackLabels", "description": "List feedback labels.", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.feedbackLabels.list", "httpMethod": "GET", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse" } } } }, "assessments": { "methods": { "list": { "description": "List Assessments.", "parameterOrder": [ "parent" ], "path": "v1alpha1/{+parent}/assessments", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments", "parameters": { "parent": { "type": "string", "required": true, "location": "path", "description": "Required. The parent resource of the assessments. To list all assessments in a location, substitute the conversation ID with a '-' character.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$" }, "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset. Supported filters include: * `state` - The state of the assessment * `agent_info.agent_id` - The ID of the agent the assessment is for", "location": "query" }, "pageSize": { "type": "integer", "description": "The maximum number of assessments to list. If zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "format": "int32", "location": "query" }, "pageToken": { "description": "Optional. The value returned by the last `ListAssessmentRulesResponse`; indicates that this is a continuation of a prior `ListAssessmentRules` call and the system should return the next page of data.", "location": "query", "type": "string" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentsResponse" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.list", "httpMethod": "GET" }, "delete": { "path": "v1alpha1/{+name}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "description": "Delete an Assessment.", "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}", "parameters": { "name": { "type": "string", "required": true, "description": "Required. The name of the assessment to delete.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$" }, "force": { "type": "boolean", "description": "Optional. If set to true, all of this assessment's notes will also be deleted. Otherwise, the request will only succeed if it has no notes.", "location": "query" } } }, "get": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Get Assessment.", "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}", "parameters": { "name": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "required": true, "description": "Required. The name of the assessment to get." } } }, "create": { "description": "Create Assessment.", "parameterOrder": [ "parent" ], "parameters": { "parent": { "description": "Required. The parent resource of the assessment.", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+$", "required": true, "type": "string", "location": "path" } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.create", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments", "path": "v1alpha1/{+parent}/assessments", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST" }, "appeal": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AppealAssessmentRequest" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}:appeal", "httpMethod": "POST", "parameterOrder": [ "name" ], "description": "Appeal an Assessment.", "path": "v1alpha1/{+name}:appeal", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "name": { "type": "string", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "description": "Required. The name of the assessment to appeal." } }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.appeal" }, "finalize": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FinalizeAssessmentRequest" }, "parameters": { "name": { "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "description": "Required. The name of the assessment to finalize.", "type": "string" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}:finalize", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "description": "Finalize an Assessment.", "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}:finalize", "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.finalize" }, "publish": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "description": "Required. The name of the assessment to publish.", "type": "string", "location": "path", "required": true } }, "description": "Publish an Assessment.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PublishAssessmentRequest" }, "parameterOrder": [ "name" ], "httpMethod": "POST", "path": "v1alpha1/{+name}:publish", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.publish", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}:publish" } }, "resources": { "notes": { "methods": { "patch": { "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "description": "Update Note.", "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.notes.patch", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes/{notesId}", "parameters": { "updateMask": { "location": "query", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. If the update_mask is empty, all updateable fields will be updated. Acceptable fields include: * `content`", "type": "string" }, "name": { "description": "Identifier. The resource name of the note. Format: projects/{project}/locations/{location}/conversations/{conversation}/assessments/{assessment}/notes/{note}", "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+/notes/[^/]+$", "type": "string" } } }, "list": { "parameters": { "parent": { "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "type": "string", "description": "Required. The parent resource of the notes." }, "pageSize": { "format": "int32", "location": "query", "description": "Optional. The maximum number of notes to return in the response. If 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.", "type": "integer" }, "pageToken": { "description": "Optional. The value returned by the last `ListNotesResponse`. This value indicates that this is a continuation of a prior `ListNotes` call and that the system should return the next page of data.", "location": "query", "type": "string" } }, "path": "v1alpha1/{+parent}/notes", "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "List Notes.", "httpMethod": "GET", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListNotesResponse" }, "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.notes.list" }, "create": { "parameterOrder": [ "parent" ], "description": "Create Note.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.notes.create", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "httpMethod": "POST", "path": "v1alpha1/{+parent}/notes", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "description": "Required. The parent resource of the note.", "required": true, "type": "string" } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" } }, "delete": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.conversations.assessments.notes.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes/{notesId}", "description": "Deletes a Note.", "httpMethod": "DELETE", "response": { "$ref": "GoogleProtobufEmpty" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/conversations/[^/]+/assessments/[^/]+/notes/[^/]+$", "required": true, "description": "Required. The name of the note to delete.", "location": "path", "type": "string" } }, "path": "v1alpha1/{+name}" } } } } } } }, "operations": { "methods": { "cancel": { "response": { "$ref": "GoogleProtobufEmpty" }, "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.operations.cancel", "path": "v1alpha1/{+name}:cancel", "parameters": { "name": { "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/operations/[^/]+$", "description": "The name of the operation resource to be cancelled.", "required": true } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/operations/{operationsId}:cancel", "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "parameterOrder": [ "name" ] }, "list": { "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.operations.list", "response": { "$ref": "GoogleLongrunningListOperationsResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "pageToken": { "type": "string", "description": "The standard list page token.", "location": "query" }, "returnPartialSuccess": { "type": "boolean", "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "location": "query" }, "pageSize": { "format": "int32", "location": "query", "description": "The standard list page size.", "type": "integer" }, "filter": { "type": "string", "location": "query", "description": "The standard list filter." }, "name": { "required": true, "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+$", "description": "The name of the operation's parent resource." } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/operations", "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}/operations" }, "get": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleLongrunningOperation" }, "httpMethod": "GET", "parameters": { "name": { "type": "string", "required": true, "description": "The name of the operation resource.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/authorizedViewSets/[^/]+/authorizedViews/[^/]+/operations/[^/]+$" } }, "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "id": "contactcenterinsights.projects.locations.authorizedViewSets.authorizedViews.operations.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/authorizedViewSets/{authorizedViewSetsId}/authorizedViews/{authorizedViewsId}/operations/{operationsId}" } } } } } } }, "encryptionSpec": { "methods": { "initialize": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}:initialize", "id": "contactcenterinsights.projects.locations.encryptionSpec.initialize", "parameters": { "name": { "description": "Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec", "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/encryptionSpec$", "required": true } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/encryptionSpec:initialize", "response": { "$ref": "GoogleLongrunningOperation" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecRequest" }, "parameterOrder": [ "name" ], "description": "Initializes a location-level encryption key specification. An error will result if the location has resources already created before the initialization. After the encryption specification is initialized at a location, it is immutable and all newly created resources under the location will be encrypted with the existing specification.", "httpMethod": "POST" } } }, "conversations": { "methods": { "create": { "description": "Creates a conversation. Note that this method does not support audio transcription or redaction. Use `conversations.upload` instead.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations", "path": "v1alpha1/{+parent}/conversations", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "id": "contactcenterinsights.projects.locations.conversations.create", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string", "required": true, "description": "Required. The parent resource of the conversation.", "location": "path" }, "conversationId": { "description": "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 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`", "type": "string", "location": "query" } } }, "patch": { "parameters": { "updateMask": { "location": "query", "type": "string", "description": "The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `agent_id` * `language_code` * `labels` * `metadata` * `quality_metadata` * `call_metadata` * `start_time` * `expire_time` or `ttl` * `data_source.gcs_source.audio_uri` or * `data_source.dialogflow_source.audio_uri` * `data_source.screen_recordings`", "format": "google-fieldmask" }, "name": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "required": true, "description": "Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}", "type": "string" }, "allowMissing": { "type": "boolean", "location": "query", "description": "Optional. Defaults to false. If set to true, and the conversation is not found, a new conversation will be created. In this situation, `update_mask` is ignored." }, "conversationAutoLabelingUpdateConfig.allowAutoLabelingUpdate": { "type": "boolean", "location": "query", "description": "Optional. If set to true, the conversation will be updated with auto labeling results." } }, "id": "contactcenterinsights.projects.locations.conversations.patch", "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "httpMethod": "PATCH", "description": "Updates a conversation.", "path": "v1alpha1/{+name}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "get": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.conversations.get", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "description": "Required. The name of the conversation to get.", "type": "string", "location": "path", "required": true }, "view": { "location": "query", "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC", "FULL_WITH_STRUCTURED_TRANSCRIPT" ], "description": "The level of details of the conversation. Default is `FULL`.", "type": "string", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript.", "Populates all fields in the conversation, including the structured transcript parts." ] } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}", "description": "Gets a conversation.", "httpMethod": "GET", "path": "v1alpha1/{+name}" }, "delete": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}", "parameterOrder": [ "name" ], "description": "Deletes a conversation.", "id": "contactcenterinsights.projects.locations.conversations.delete", "path": "v1alpha1/{+name}", "httpMethod": "DELETE", "parameters": { "force": { "description": "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.", "location": "query", "type": "boolean" }, "name": { "description": "Required. The name of the conversation to delete.", "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "required": true } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleProtobufEmpty" } }, "generateSignedAudio": { "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse" }, "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.conversations.generateSignedAudio", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}:generateSignedAudio", "path": "v1alpha1/{+name}:generateSignedAudio", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Gets the signed URI for the audio for the given conversation.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "type": "string", "description": "Required. The name of the conversation to sign.", "location": "path", "required": true } } }, "calculateStats": { "parameterOrder": [ "location" ], "parameters": { "filter": { "description": "A filter to reduce results to a specific subset. This field is useful for getting statistics about conversations with specific properties.", "location": "query", "type": "string" }, "location": { "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The location of the conversations.", "type": "string", "location": "path", "required": true } }, "description": "Gets conversation statistics.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:calculateStats", "path": "v1alpha1/{+location}/conversations:calculateStats", "id": "contactcenterinsights.projects.locations.conversations.calculateStats", "httpMethod": "GET" }, "sample": { "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.conversations.sample", "httpMethod": "POST", "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:sample", "path": "v1alpha1/{+parent}/conversations:sample", "description": "Samples conversations based on user configuration and handles the sampled conversations for different use cases.", "parameters": { "parent": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The parent resource of the dataset.", "required": true, "type": "string" } } }, "ingest": { "response": { "$ref": "GoogleLongrunningOperation" }, "parameters": { "parent": { "required": true, "location": "path", "description": "Required. The parent resource for new conversations.", "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string" } }, "id": "contactcenterinsights.projects.locations.conversations.ingest", "path": "v1alpha1/{+parent}/conversations:ingest", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest" }, "httpMethod": "POST", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Imports conversations and processes them according to the user's configuration.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:ingest" }, "bulkAnalyze": { "response": { "$ref": "GoogleLongrunningOperation" }, "httpMethod": "POST", "path": "v1alpha1/{+parent}/conversations:bulkAnalyze", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "type": "string", "required": true, "description": "Required. The parent resource to create analyses in." } }, "description": "Analyzes multiple conversations in a single request.", "id": "contactcenterinsights.projects.locations.conversations.bulkAnalyze", "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:bulkAnalyze", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "bulkDelete": { "description": "Deletes multiple conversations in a single request.", "id": "contactcenterinsights.projects.locations.conversations.bulkDelete", "parameters": { "parent": { "type": "string", "required": true, "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:bulkDelete", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "path": "v1alpha1/{+parent}/conversations:bulkDelete", "response": { "$ref": "GoogleLongrunningOperation" } }, "upload": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1UploadConversationRequest" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations:upload", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/conversations:upload", "parameterOrder": [ "parent" ], "id": "contactcenterinsights.projects.locations.conversations.upload", "response": { "$ref": "GoogleLongrunningOperation" }, "description": "Create a long-running conversation upload operation. This method differs from `CreateConversation` by allowing audio transcription and optional DLP redaction.", "parameters": { "parent": { "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "description": "Required. The parent resource of the conversation." } } }, "list": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse" }, "description": "Lists conversations.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations", "path": "v1alpha1/{+parent}/conversations", "id": "contactcenterinsights.projects.locations.conversations.list", "parameters": { "pageSize": { "location": "query", "format": "int32", "description": "The maximum number of conversations to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer" }, "filter": { "location": "query", "description": "A filter to reduce results to a specific subset. Useful for querying conversations with specific properties.", "type": "string" }, "orderBy": { "type": "string", "location": "query", "description": "Optional. The attribute by which to order conversations in the response. If empty, conversations will be ordered by descending creation time. Supported values are one of the following: * create_time * customer_satisfaction_rating * duration * latest_analysis * start_time * turn_count The default sort order is ascending. To specify order, append `asc` or `desc` (`create_time desc`). For more details, see [Google AIPs Ordering](https://google.aip.dev/132#ordering)." }, "view": { "location": "query", "description": "The level of details of the conversation. Default is `BASIC`.", "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript.", "Populates all fields in the conversation, including the structured transcript parts." ], "type": "string", "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC", "FULL_WITH_STRUCTURED_TRANSCRIPT" ] }, "parent": { "type": "string", "description": "Required. The parent resource of the conversation.", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$" }, "pageToken": { "location": "query", "type": "string", "description": "The value returned by the last `ListConversationsResponse`. This value indicates that this is a continuation of a prior `ListConversations` call and that the system should return the next page of data." } } } }, "resources": { "segments": { "methods": { "bulkAnalyze": { "response": { "$ref": "GoogleLongrunningOperation" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.segments.bulkAnalyze", "httpMethod": "POST", "description": "Analyzes multiple conversations in a single request.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest" }, "parameterOrder": [ "parent" ], "parameters": { "parent": { "type": "string", "required": true, "description": "Required. The parent resource to create analyses in.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/segments:bulkAnalyze", "path": "v1alpha1/{+parent}/segments:bulkAnalyze" } } }, "feedbackLabels": { "methods": { "patch": { "parameterOrder": [ "name" ], "description": "Update feedback label.", "httpMethod": "PATCH", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "path": "v1alpha1/{+name}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.patch", "parameters": { "name": { "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}", "location": "path", "required": true, "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$" }, "updateMask": { "description": "Required. The list of fields to be updated.", "location": "query", "format": "google-fieldmask", "type": "string" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "get": { "httpMethod": "GET", "description": "Get feedback label.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.get", "parameters": { "name": { "type": "string", "description": "Required. The name of the feedback label to get.", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$" } } }, "list": { "parameters": { "filter": { "location": "query", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Automatically sorts by conversation ID. To sort by all feedback labels in a project see ListAllFeedbackLabels. Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" }, "pageSize": { "format": "int32", "type": "integer", "location": "query", "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size." }, "parent": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "location": "path", "required": true, "description": "Required. The parent resource of the feedback labels." }, "pageToken": { "description": "Optional. The value returned by the last `ListFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListFeedbackLabels` call and that the system should return the next page of data.", "location": "query", "type": "string" } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse" }, "parameterOrder": [ "parent" ], "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.list", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/feedbackLabels", "description": "List feedback labels.", "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels" }, "delete": { "description": "Delete feedback label.", "parameters": { "name": { "description": "Required. The name of the feedback label to delete.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "required": true, "location": "path" } }, "response": { "$ref": "GoogleProtobufEmpty" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.delete", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "create": { "description": "Create feedback label.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/feedbackLabels", "parameters": { "feedbackLabelId": { "description": "Optional. The ID of the feedback label to create. If one is not specified it will be generated by the server.", "type": "string", "location": "query" }, "parent": { "description": "Required. The parent resource of the feedback label.", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "type": "string", "location": "path" } }, "parameterOrder": [ "parent" ], "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.conversations.feedbackLabels.create", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/feedbackLabels" } } }, "assessments": { "methods": { "create": { "path": "v1alpha1/{+parent}/assessments", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "description": "Required. The parent resource of the assessment.", "type": "string", "location": "path", "required": true } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "description": "Create Assessment.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.conversations.assessments.create", "httpMethod": "POST", "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments" }, "appeal": { "httpMethod": "POST", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AppealAssessmentRequest" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}:appeal", "description": "Appeal an Assessment.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}:appeal", "id": "contactcenterinsights.projects.locations.conversations.assessments.appeal", "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "parameters": { "name": { "location": "path", "required": true, "description": "Required. The name of the assessment to appeal.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "type": "string" } } }, "finalize": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}:finalize", "id": "contactcenterinsights.projects.locations.conversations.assessments.finalize", "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FinalizeAssessmentRequest" }, "parameters": { "name": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "description": "Required. The name of the assessment to finalize.", "required": true, "location": "path" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}:finalize", "description": "Finalize an Assessment.", "httpMethod": "POST", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" } }, "get": { "description": "Get Assessment.", "parameters": { "name": { "description": "Required. The name of the assessment to get.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "location": "path", "type": "string", "required": true } }, "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}", "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.conversations.assessments.get", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" } }, "publish": { "path": "v1alpha1/{+name}:publish", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}:publish", "parameters": { "name": { "type": "string", "required": true, "description": "Required. The name of the assessment to publish.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$" } }, "description": "Publish an Assessment.", "id": "contactcenterinsights.projects.locations.conversations.assessments.publish", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PublishAssessmentRequest" }, "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "delete": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "description": "Required. The name of the assessment to delete.", "location": "path", "type": "string", "required": true }, "force": { "location": "query", "description": "Optional. If set to true, all of this assessment's notes will also be deleted. Otherwise, the request will only succeed if it has no notes.", "type": "boolean" } }, "id": "contactcenterinsights.projects.locations.conversations.assessments.delete", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}", "description": "Delete an Assessment.", "httpMethod": "DELETE", "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" } }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/assessments", "id": "contactcenterinsights.projects.locations.conversations.assessments.list", "httpMethod": "GET", "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentsResponse" }, "description": "List Assessments.", "parameters": { "pageToken": { "type": "string", "location": "query", "description": "Optional. The value returned by the last `ListAssessmentRulesResponse`; indicates that this is a continuation of a prior `ListAssessmentRules` call and the system should return the next page of data." }, "filter": { "location": "query", "description": "Optional. A filter to reduce results to a specific subset. Supported filters include: * `state` - The state of the assessment * `agent_info.agent_id` - The ID of the agent the assessment is for", "type": "string" }, "parent": { "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "description": "Required. The parent resource of the assessments. To list all assessments in a location, substitute the conversation ID with a '-' character.", "type": "string" }, "pageSize": { "format": "int32", "description": "The maximum number of assessments to list. If zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "location": "query", "type": "integer" } } } }, "resources": { "notes": { "methods": { "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "httpMethod": "PATCH", "description": "Update Note.", "id": "contactcenterinsights.projects.locations.conversations.assessments.notes.patch", "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes/{notesId}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+/notes/[^/]+$", "type": "string", "required": true, "description": "Identifier. The resource name of the note. Format: projects/{project}/locations/{location}/conversations/{conversation}/assessments/{assessment}/notes/{note}", "location": "path" }, "updateMask": { "type": "string", "description": "Optional. The list of fields to be updated. If the update_mask is empty, all updateable fields will be updated. Acceptable fields include: * `content`", "location": "query", "format": "google-fieldmask" } } }, "create": { "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "type": "string", "required": true, "description": "Required. The parent resource of the note.", "location": "path" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "id": "contactcenterinsights.projects.locations.conversations.assessments.notes.create", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "description": "Create Note.", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes", "path": "v1alpha1/{+parent}/notes" }, "delete": { "httpMethod": "DELETE", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes/{notesId}", "id": "contactcenterinsights.projects.locations.conversations.assessments.notes.delete", "description": "Deletes a Note.", "parameters": { "name": { "type": "string", "description": "Required. The name of the note to delete.", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+/notes/[^/]+$" } }, "response": { "$ref": "GoogleProtobufEmpty" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}" }, "list": { "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/assessments/{assessmentsId}/notes", "description": "List Notes.", "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListNotesResponse" }, "path": "v1alpha1/{+parent}/notes", "id": "contactcenterinsights.projects.locations.conversations.assessments.notes.list", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "pageToken": { "description": "Optional. The value returned by the last `ListNotesResponse`. This value indicates that this is a continuation of a prior `ListNotes` call and that the system should return the next page of data.", "location": "query", "type": "string" }, "pageSize": { "format": "int32", "type": "integer", "location": "query", "description": "Optional. The maximum number of notes to return in the response. If zero the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available." }, "parent": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/assessments/[^/]+$", "type": "string", "required": true, "description": "Required. The parent resource of the notes." } } } } } } }, "analyses": { "methods": { "list": { "httpMethod": "GET", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAnalysesResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/analyses", "description": "Lists analyses.", "parameters": { "filter": { "location": "query", "type": "string", "description": "A filter to reduce results to a specific subset. Useful for querying conversations with specific properties." }, "parent": { "description": "Required. The parent resource of the analyses.", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "type": "string", "location": "path", "required": true }, "pageToken": { "description": "The value returned by the last `ListAnalysesResponse`; indicates that this is a continuation of a prior `ListAnalyses` call and the system should return the next page of data.", "type": "string", "location": "query" }, "pageSize": { "description": "The maximum number of analyses 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.", "type": "integer", "format": "int32", "location": "query" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/analyses", "id": "contactcenterinsights.projects.locations.conversations.analyses.list", "parameterOrder": [ "parent" ] }, "create": { "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.conversations.analyses.create", "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/analyses", "path": "v1alpha1/{+parent}/analyses", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Analysis" }, "parameters": { "parent": { "location": "path", "description": "Required. The parent resource of the analysis.", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+$", "type": "string" } }, "description": "Creates an analysis. The long running operation is done when the analysis has completed." }, "delete": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/analyses/{analysesId}", "parameterOrder": [ "name" ], "description": "Deletes an analysis.", "path": "v1alpha1/{+name}", "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.conversations.analyses.delete", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/analyses/[^/]+$", "description": "Required. The name of the analysis to delete.", "required": true, "type": "string", "location": "path" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleProtobufEmpty" } }, "get": { "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.conversations.analyses.get", "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Analysis" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "parameters": { "name": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/conversations/[^/]+/analyses/[^/]+$", "required": true, "description": "Required. The name of the analysis to get.", "type": "string" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}/analyses/{analysesId}", "description": "Gets an analysis." } } } } }, "operations": { "methods": { "list": { "httpMethod": "GET", "response": { "$ref": "GoogleLongrunningListOperationsResponse" }, "parameterOrder": [ "name" ], "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", "path": "v1alpha1/{+name}/operations", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "name": { "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "The name of the operation's parent resource.", "type": "string" }, "pageSize": { "description": "The standard list page size.", "type": "integer", "location": "query", "format": "int32" }, "returnPartialSuccess": { "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "location": "query", "type": "boolean" }, "pageToken": { "location": "query", "description": "The standard list page token.", "type": "string" }, "filter": { "type": "string", "description": "The standard list filter.", "location": "query" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/operations", "id": "contactcenterinsights.projects.locations.operations.list" }, "get": { "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "name" ], "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "location": "path", "required": true, "type": "string", "description": "The name of the operation resource." } }, "id": "contactcenterinsights.projects.locations.operations.get", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}", "httpMethod": "GET" }, "cancel": { "httpMethod": "POST", "path": "v1alpha1/{+name}:cancel", "parameterOrder": [ "name" ], "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.operations.cancel", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}:cancel", "parameters": { "name": { "type": "string", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$", "description": "The name of the operation resource to be cancelled." } } } } }, "issueModels": { "methods": { "deploy": { "parameters": { "name": { "description": "Required. The issue model to deploy.", "type": "string", "required": true, "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}:deploy", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Deploys an issue model. Returns an error if a model is already deployed. An issue model can only be used in analysis after it has been deployed.", "id": "contactcenterinsights.projects.locations.issueModels.deploy", "httpMethod": "POST", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelRequest" }, "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}:deploy", "response": { "$ref": "GoogleLongrunningOperation" } }, "create": { "parameters": { "parent": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "description": "Required. The parent resource of the issue model.", "type": "string" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels", "description": "Creates an issue model.", "id": "contactcenterinsights.projects.locations.issueModels.create", "path": "v1alpha1/{+parent}/issueModels", "response": { "$ref": "GoogleLongrunningOperation" }, "httpMethod": "POST", "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" } }, "list": { "id": "contactcenterinsights.projects.locations.issueModels.list", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels", "httpMethod": "GET", "path": "v1alpha1/{+parent}/issueModels", "description": "Lists issue models.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListIssueModelsResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string", "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$" } }, "parameterOrder": [ "parent" ] }, "undeploy": { "path": "v1alpha1/{+name}:undeploy", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleLongrunningOperation" }, "parameters": { "name": { "location": "path", "description": "Required. The issue model to undeploy.", "required": true, "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelRequest" }, "description": "Undeploys an issue model. An issue model can not be used in analysis after it has been undeployed.", "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.issueModels.undeploy", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}:undeploy" }, "delete": { "path": "v1alpha1/{+name}", "description": "Deletes an issue model.", "parameters": { "name": { "type": "string", "description": "Required. The name of the issue model to delete.", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "required": true, "location": "path" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "httpMethod": "DELETE", "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.issueModels.delete" }, "get": { "parameters": { "name": { "description": "Required. The name of the issue model to get.", "required": true, "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$" } }, "id": "contactcenterinsights.projects.locations.issueModels.get", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" }, "httpMethod": "GET", "parameterOrder": [ "name" ], "description": "Gets an issue model.", "path": "v1alpha1/{+name}" }, "export": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}:export", "parameterOrder": [ "name" ], "httpMethod": "POST", "path": "v1alpha1/{+name}:export", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequest" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "name": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "required": true, "description": "Required. The issue model to export.", "location": "path" } }, "id": "contactcenterinsights.projects.locations.issueModels.export", "description": "Exports an issue model to the provided destination.", "response": { "$ref": "GoogleLongrunningOperation" } }, "calculateIssueModelStats": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}:calculateIssueModelStats", "path": "v1alpha1/{+issueModel}:calculateIssueModelStats", "parameterOrder": [ "issueModel" ], "id": "contactcenterinsights.projects.locations.issueModels.calculateIssueModelStats", "httpMethod": "GET", "description": "Gets an issue model's statistics.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateIssueModelStatsResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "issueModel": { "required": true, "type": "string", "description": "Required. The resource name of the issue model to query against.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$" } } }, "patch": { "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.issueModels.patch", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "type": "string", "location": "path", "required": true, "description": "Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}" }, "updateMask": { "format": "google-fieldmask", "location": "query", "description": "The list of fields to be updated.", "type": "string" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" }, "httpMethod": "PATCH", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}", "description": "Updates an issue model.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "import": { "path": "v1alpha1/{+parent}/issueModels:import", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequest" }, "parameterOrder": [ "parent" ], "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels:import", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.issueModels.import", "description": "Imports an issue model from a Cloud Storage bucket.", "parameters": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "location": "path" } } } }, "resources": { "issues": { "methods": { "get": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "parameters": { "name": { "required": true, "description": "Required. The name of the issue to get.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+/issues/[^/]+$", "type": "string" } }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}", "description": "Gets an issue.", "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.issueModels.issues.get", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues/{issuesId}" }, "create": { "httpMethod": "POST", "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "parent" ], "description": "Creates an issue.", "parameters": { "parent": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "location": "path", "description": "Required. The parent resource of the issue.", "required": true } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.issues.create", "path": "v1alpha1/{+parent}/issues" }, "patch": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Updates an issue.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "parameters": { "updateMask": { "location": "query", "format": "google-fieldmask", "description": "The list of fields to be updated.", "type": "string" }, "name": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+/issues/[^/]+$", "description": "Immutable. The resource name of the issue. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}", "required": true, "location": "path" } }, "httpMethod": "PATCH", "path": "v1alpha1/{+name}", "id": "contactcenterinsights.projects.locations.issueModels.issues.patch", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues/{issuesId}" }, "delete": { "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.issueModels.issues.delete", "response": { "$ref": "GoogleProtobufEmpty" }, "description": "Deletes an issue.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues/{issuesId}", "path": "v1alpha1/{+name}", "parameters": { "name": { "required": true, "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+/issues/[^/]+$", "description": "Required. The name of the issue to delete." } }, "parameterOrder": [ "name" ] }, "list": { "description": "Lists issues.", "path": "v1alpha1/{+parent}/issues", "httpMethod": "GET", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListIssuesResponse" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/issueModels/{issueModelsId}/issues", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.issueModels.issues.list", "parameters": { "parent": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/issueModels/[^/]+$", "description": "Required. The parent resource of the issue.", "required": true, "type": "string" } } } } } } }, "dashboards": { "methods": { "patch": { "parameters": { "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. List of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `display_name` * `root_container` * `description`", "location": "query" }, "name": { "required": true, "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "description": "Identifier. Dashboard resource name. Format: projects/{project}/locations/{location}/dashboards/{dashboard}" } }, "id": "contactcenterinsights.projects.locations.dashboards.patch", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "path": "v1alpha1/{+name}", "httpMethod": "PATCH", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "description": "Updates a Dashboard." }, "create": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.dashboards.create", "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "description": "Creates a Dashboard.", "parameterOrder": [ "parent" ], "path": "v1alpha1/{+parent}/dashboards", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string", "required": true, "description": "Required. The parent resource of the dashboard.", "location": "path" }, "dashboardId": { "type": "string", "location": "query", "description": "Optional. A unique ID for the new Dashboard. This ID will become the final component of the Dashboard's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`." } } }, "list": { "httpMethod": "GET", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListDashboardsResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/dashboards", "parameterOrder": [ "parent" ], "parameters": { "pageToken": { "type": "string", "location": "query", "description": "Optional. The value returned by the last `ListDashboardsResponse`. This value indicates that this is a continuation of a prior `ListDashboards` call and that the system should return the next page of data." }, "filter": { "location": "query", "description": "Optional. The filter expression to filter dashboards listed in the response.", "type": "string" }, "parent": { "required": true, "description": "Required. The parent resource of the dashboards.", "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$" }, "pageSize": { "location": "query", "type": "integer", "description": "Optional. The maximum number of dashboards to return. The service may return fewer than this value. The default and maximum value is 100.", "format": "int32" }, "orderBy": { "type": "string", "description": "Optional. The order by expression to order dashboards listed in the response.", "location": "query" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards", "id": "contactcenterinsights.projects.locations.dashboards.list", "description": "Lists Dashboards." }, "delete": { "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "required": true, "description": "Required. The name of the dashboard to delete.", "location": "path", "type": "string" } }, "description": "Deletes a Dashboard.", "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.dashboards.delete", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "DELETE", "path": "v1alpha1/{+name}" }, "get": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}", "id": "contactcenterinsights.projects.locations.dashboards.get", "parameters": { "name": { "location": "path", "required": true, "description": "Required. The name of the dashboard to get.", "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "type": "string" } }, "parameterOrder": [ "name" ], "description": "Gets a Dashboard.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "httpMethod": "GET" } }, "resources": { "charts": { "methods": { "get": { "parameters": { "name": { "required": true, "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+/charts/[^/]+$", "description": "Required. The name of the chart to get." } }, "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "description": "Gets a Chart.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts/{chartsId}", "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.dashboards.charts.get" }, "delete": { "description": "Deletes a Chart.", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "parameters": { "name": { "location": "path", "description": "Required. The name of the chart to delete.", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+/charts/[^/]+$", "type": "string" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts/{chartsId}", "httpMethod": "DELETE", "id": "contactcenterinsights.projects.locations.dashboards.charts.delete" }, "patch": { "id": "contactcenterinsights.projects.locations.dashboards.charts.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts/{chartsId}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+/charts/[^/]+$", "description": "Identifier. Chart resource name. Format: projects/{project}/locations/{location}/dashboards/{dashboard}/charts/{chart}", "location": "path", "type": "string", "required": true }, "updateMask": { "format": "google-fieldmask", "description": "Optional. List of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `display_name`", "location": "query", "type": "string" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "description": "Updates a Chart.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "httpMethod": "PATCH", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}" }, "create": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.dashboards.charts.create", "description": "Creates a Chart.", "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "path": "v1alpha1/{+parent}/charts", "parameters": { "parent": { "description": "Required. The parent resource of the chart.", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "type": "string", "location": "path" }, "chartId": { "description": "Optional. A unique ID for the new Chart. This ID will become the final component of the Chart's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`.", "location": "query", "type": "string" } } }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListChartsResponse" }, "id": "contactcenterinsights.projects.locations.dashboards.charts.list", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/dashboards/[^/]+$", "type": "string", "location": "path", "description": "Required. The parent resource of the charts.", "required": true } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/dashboards/{dashboardsId}/charts", "path": "v1alpha1/{+parent}/charts", "description": "Lists Charts." } } } } }, "views": { "methods": { "patch": { "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "updateMask": { "location": "query", "description": "The list of fields to be updated.", "type": "string", "format": "google-fieldmask" }, "name": { "required": true, "location": "path", "type": "string", "description": "Immutable. The resource name of the view. Format: projects/{project}/locations/{location}/views/{view}", "pattern": "^projects/[^/]+/locations/[^/]+/views/[^/]+$" } }, "parameterOrder": [ "name" ], "httpMethod": "PATCH", "id": "contactcenterinsights.projects.locations.views.patch", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views/{viewsId}", "description": "Updates a view." }, "list": { "id": "contactcenterinsights.projects.locations.views.list", "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListViewsResponse" }, "description": "Lists views.", "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "parent": { "description": "Required. The parent resource of the views.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true }, "pageSize": { "format": "int32", "description": "The maximum number of views to return in the response. If this value is zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer", "location": "query" }, "pageToken": { "description": "The value returned by the last `ListViewsResponse`; indicates that this is a continuation of a prior `ListViews` call and the system should return the next page of data.", "location": "query", "type": "string" } }, "path": "v1alpha1/{+parent}/views" }, "create": { "httpMethod": "POST", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/views", "id": "contactcenterinsights.projects.locations.views.create", "parameterOrder": [ "parent" ], "description": "Creates a view.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The parent resource of the view. Required. The location to create a view for. Format: `projects//locations/` or `projects//locations/`", "type": "string", "required": true, "location": "path" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views" }, "get": { "description": "Gets a view.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views/{viewsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "parameters": { "name": { "type": "string", "required": true, "description": "Required. The name of the view to get.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/views/[^/]+$" } }, "path": "v1alpha1/{+name}", "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.views.get", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" } }, "delete": { "id": "contactcenterinsights.projects.locations.views.delete", "description": "Deletes a view.", "parameters": { "name": { "location": "path", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/views/[^/]+$", "description": "Required. The name of the view to delete." } }, "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleProtobufEmpty" }, "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/views/{viewsId}", "httpMethod": "DELETE", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] } } }, "analysisRules": { "methods": { "list": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAnalysisRulesResponse" }, "parameters": { "pageToken": { "location": "query", "description": "Optional. The value returned by the last `ListAnalysisRulesResponse`; indicates that this is a continuation of a prior `ListAnalysisRules` call and the system should return the next page of data.", "type": "string" }, "parent": { "description": "Required. The parent resource of the analysis rules.", "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string", "location": "path", "required": true }, "pageSize": { "description": "Optional. The maximum number of analysis rule to return in the response. If this value is zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "location": "query", "format": "int32", "type": "integer" } }, "parameterOrder": [ "parent" ], "path": "v1alpha1/{+parent}/analysisRules", "description": "Lists analysis rules.", "id": "contactcenterinsights.projects.locations.analysisRules.list", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules" }, "delete": { "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules/{analysisRulesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Deletes a analysis rule.", "response": { "$ref": "GoogleProtobufEmpty" }, "parameters": { "name": { "required": true, "description": "Required. The name of the analysis rule to delete.", "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/analysisRules/[^/]+$" } }, "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.analysisRules.delete" }, "get": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/analysisRules/[^/]+$", "description": "Required. The name of the AnalysisRule to get.", "location": "path", "type": "string", "required": true } }, "id": "contactcenterinsights.projects.locations.analysisRules.get", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "GET", "parameterOrder": [ "name" ], "description": "Get a analysis rule.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules/{analysisRulesId}", "path": "v1alpha1/{+name}" }, "create": { "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The parent resource of the analysis rule. Required. The location to create a analysis rule for. Format: `projects//locations/` or `projects//locations/`", "type": "string" } }, "path": "v1alpha1/{+parent}/analysisRules", "description": "Creates a analysis rule.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules", "id": "contactcenterinsights.projects.locations.analysisRules.create", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "httpMethod": "POST", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "patch": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/analysisRules/[^/]+$", "location": "path", "type": "string", "required": true, "description": "Identifier. The resource name of the analysis rule. Format: projects/{project}/locations/{location}/analysisRules/{analysis_rule}" }, "updateMask": { "description": "Optional. The list of fields to be updated. If the update_mask is not provided, the update will be applied to all fields.", "format": "google-fieldmask", "location": "query", "type": "string" } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}", "httpMethod": "PATCH", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/analysisRules/{analysisRulesId}", "description": "Updates a analysis rule.", "id": "contactcenterinsights.projects.locations.analysisRules.patch" } } }, "assessmentRules": { "methods": { "create": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "path": "v1alpha1/{+parent}/assessmentRules", "parameters": { "parent": { "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string", "description": "Required. The parent resource of the assessment rule. Required. The location to create a assessment rule for. Format: `projects//locations/` or `projects//locations/`" }, "assessmentRuleId": { "location": "query", "description": "Optional. A unique ID for the new AssessmentRule. This ID will become the final component of the AssessmentRule's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$`.", "type": "string" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "description": "Creates an assessment rule.", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.assessmentRules.create", "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules" }, "list": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules", "httpMethod": "GET", "parameterOrder": [ "parent" ], "path": "v1alpha1/{+parent}/assessmentRules", "description": "Lists assessment rules.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentRulesResponse" }, "parameters": { "parent": { "required": true, "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The parent resource of the assessment rules." }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListAssessmentRulesResponse`; indicates that this is a continuation of a prior `ListAssessmentRules` call and the system should return the next page of data.", "location": "query" }, "pageSize": { "format": "int32", "location": "query", "type": "integer", "description": "Optional. The maximum number of assessment rule to return in the response. If this value is zero, the service will select a default size. A call may return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available." } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.assessmentRules.list" }, "patch": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "id": "contactcenterinsights.projects.locations.assessmentRules.patch", "path": "v1alpha1/{+name}", "httpMethod": "PATCH", "parameterOrder": [ "name" ], "description": "Updates an assessment rule.", "parameters": { "name": { "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/assessmentRules/[^/]+$", "required": true, "description": "Identifier. The resource name of the assessment rule. Format: projects/{project}/locations/{location}/assessmentRules/{assessment_rule}" }, "updateMask": { "description": "Optional. The list of fields to be updated. If the update_mask is not provided, the update will be applied to all fields.", "format": "google-fieldmask", "location": "query", "type": "string" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules/{assessmentRulesId}" }, "delete": { "id": "contactcenterinsights.projects.locations.assessmentRules.delete", "httpMethod": "DELETE", "response": { "$ref": "GoogleProtobufEmpty" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules/{assessmentRulesId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Deletes an assessment rule.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/assessmentRules/[^/]+$", "location": "path", "type": "string", "description": "Required. The name of the assessment rule to delete.", "required": true } }, "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}" }, "get": { "parameters": { "name": { "description": "Required. The name of the assessment rule to get.", "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/assessmentRules/[^/]+$", "required": true } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "path": "v1alpha1/{+name}", "id": "contactcenterinsights.projects.locations.assessmentRules.get", "description": "Get an assessment rule.", "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/assessmentRules/{assessmentRulesId}" } } }, "datasets": { "resources": { "conversations": { "resources": { "feedbackLabels": { "methods": { "delete": { "path": "v1alpha1/{+name}", "httpMethod": "DELETE", "description": "Delete feedback label.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "description": "Required. The name of the feedback label to delete.", "type": "string", "required": true, "location": "path" } }, "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.delete", "response": { "$ref": "GoogleProtobufEmpty" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ] }, "patch": { "parameters": { "name": { "required": true, "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}", "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$" }, "updateMask": { "format": "google-fieldmask", "location": "query", "type": "string", "description": "Required. The list of fields to be updated." } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "PATCH", "parameterOrder": [ "name" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.patch", "description": "Update feedback label." }, "list": { "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.list", "description": "List feedback labels.", "httpMethod": "GET", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels", "path": "v1alpha1/{+parent}/feedbackLabels", "parameterOrder": [ "parent" ], "parameters": { "pageToken": { "location": "query", "type": "string", "description": "Optional. The value returned by the last `ListFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListFeedbackLabels` call and that the system should return the next page of data." }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "type": "string", "description": "Required. The parent resource of the feedback labels.", "location": "path", "required": true }, "pageSize": { "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "format": "int32", "type": "integer", "location": "query" }, "filter": { "location": "query", "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Automatically sorts by conversation ID. To sort by all feedback labels in a project see ListAllFeedbackLabels. Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "create": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "path": "v1alpha1/{+parent}/feedbackLabels", "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.create", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "parameters": { "parent": { "description": "Required. The parent resource of the feedback label.", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "type": "string", "location": "path", "required": true }, "feedbackLabelId": { "type": "string", "description": "Optional. The ID of the feedback label to create. If one is not specified it will be generated by the server.", "location": "query" } }, "description": "Create feedback label.", "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" } }, "get": { "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+/feedbackLabels/[^/]+$", "description": "Required. The name of the feedback label to get.", "location": "path", "type": "string", "required": true } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}/feedbackLabels/{feedbackLabelsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.feedbackLabels.get", "httpMethod": "GET", "path": "v1alpha1/{+name}", "description": "Get feedback label." } } } }, "methods": { "bulkDelete": { "response": { "$ref": "GoogleLongrunningOperation" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "path": "v1alpha1/{+parent}/conversations:bulkDelete", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest" }, "id": "contactcenterinsights.projects.locations.datasets.conversations.bulkDelete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations:bulkDelete", "parameterOrder": [ "parent" ], "description": "Deletes multiple conversations in a single request.", "parameters": { "parent": { "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}", "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "type": "string" } } }, "generateSignedAudio": { "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}:generateSignedAudio", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}:generateSignedAudio", "parameters": { "name": { "location": "path", "required": true, "type": "string", "description": "Required. The name of the conversation to sign.", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$" } }, "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse" }, "id": "contactcenterinsights.projects.locations.datasets.conversations.generateSignedAudio", "description": "Gets the signed URI for the audio for the given conversation." }, "list": { "id": "contactcenterinsights.projects.locations.datasets.conversations.list", "parameters": { "pageSize": { "format": "int32", "location": "query", "description": "The maximum number of conversations to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer" }, "pageToken": { "type": "string", "location": "query", "description": "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." }, "orderBy": { "location": "query", "description": "Optional. The attribute by which to order conversations in the response. If empty, conversations will be ordered by descending creation time. Supported values are one of the following: * create_time * customer_satisfaction_rating * duration * latest_analysis * start_time * turn_count The default sort order is ascending. To specify order, append `asc` or `desc` (`create_time desc`). For more details, see [Google AIPs Ordering](https://google.aip.dev/132#ordering).", "type": "string" }, "view": { "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript.", "Populates all fields in the conversation, including the structured transcript parts." ], "location": "query", "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC", "FULL_WITH_STRUCTURED_TRANSCRIPT" ], "description": "The level of details of the conversation. Default is `BASIC`.", "type": "string" }, "parent": { "description": "Required. The parent resource of the conversation.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "required": true, "type": "string" }, "filter": { "description": "A filter to reduce results to a specific subset. Useful for querying conversations with specific properties.", "type": "string", "location": "query" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}/conversations", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations", "parameterOrder": [ "parent" ], "httpMethod": "GET", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse" }, "description": "Lists conversations." }, "delete": { "httpMethod": "DELETE", "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.delete", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}", "response": { "$ref": "GoogleProtobufEmpty" }, "parameters": { "force": { "description": "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.", "location": "query", "type": "boolean" }, "name": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "location": "path", "description": "Required. The name of the conversation to delete.", "required": true, "type": "string" } }, "description": "Deletes a conversation." }, "sample": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "httpMethod": "POST", "description": "Samples conversations based on user configuration and handles the sampled conversations for different use cases.", "id": "contactcenterinsights.projects.locations.datasets.conversations.sample", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations:sample", "path": "v1alpha1/{+parent}/conversations:sample", "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "type": "string", "location": "path", "description": "Required. The parent resource of the dataset." } }, "parameterOrder": [ "parent" ] }, "ingest": { "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "type": "string", "description": "Required. The parent resource for new conversations.", "required": true } }, "response": { "$ref": "GoogleLongrunningOperation" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest" }, "path": "v1alpha1/{+parent}/conversations:ingest", "id": "contactcenterinsights.projects.locations.datasets.conversations.ingest", "httpMethod": "POST", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Imports conversations and processes them according to the user's configuration.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations:ingest", "parameterOrder": [ "parent" ] }, "get": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "description": "Gets a conversation.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations/{conversationsId}", "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.get", "parameters": { "name": { "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+/conversations/[^/]+$", "required": true, "type": "string", "description": "Required. The name of the conversation to get." }, "view": { "description": "The level of details of the conversation. Default is `FULL`.", "type": "string", "enum": [ "CONVERSATION_VIEW_UNSPECIFIED", "FULL", "BASIC", "FULL_WITH_STRUCTURED_TRANSCRIPT" ], "enumDescriptions": [ "The conversation view is not specified. * Defaults to `FULL` in `GetConversationRequest`. * Defaults to `BASIC` in `ListConversationsRequest`.", "Populates all fields in the conversation.", "Populates all fields in the conversation except the transcript.", "Populates all fields in the conversation, including the structured transcript parts." ], "location": "query" } } }, "calculateStats": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsRequest" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/conversations:calculateStats", "parameters": { "location": { "description": "Required. The location of the conversations.", "required": true, "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$" } }, "path": "v1alpha1/{+location}/conversations:calculateStats", "parameterOrder": [ "location" ], "id": "contactcenterinsights.projects.locations.datasets.conversations.calculateStats", "description": "Gets conversation statistics.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST" } } }, "insightsdata": { "methods": { "export": { "response": { "$ref": "GoogleLongrunningOperation" }, "parameters": { "parent": { "required": true, "location": "path", "description": "Required. The parent resource to export data from.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest" }, "path": "v1alpha1/{+parent}/insightsdata:export", "id": "contactcenterinsights.projects.locations.datasets.insightsdata.export", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "httpMethod": "POST", "description": "Export insights data to a destination defined in the request body.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}/insightsdata:export" } } } }, "methods": { "get": { "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}", "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.datasets.get", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "description": "Gets a dataset.", "path": "v1alpha1/{+name}", "parameters": { "name": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "description": "Required. The name of the dataset to get.", "required": true } } }, "delete": { "httpMethod": "DELETE", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleLongrunningOperation" }, "parameters": { "name": { "required": true, "location": "path", "description": "Required. The name of the dataset to delete.", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$" } }, "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}", "id": "contactcenterinsights.projects.locations.datasets.delete", "description": "Delete a dataset." }, "bulkUploadFeedbackLabels": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "id": "contactcenterinsights.projects.locations.datasets.bulkUploadFeedbackLabels", "path": "v1alpha1/{+parent}:bulkUploadFeedbackLabels", "httpMethod": "POST", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}:bulkUploadFeedbackLabels", "description": "Upload feedback labels from an external source in bulk. Currently supports labeling Quality AI example conversations.", "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path", "description": "Required. The parent resource for new feedback labels.", "required": true, "type": "string" } } }, "create": { "id": "contactcenterinsights.projects.locations.datasets.create", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "description": "Creates a dataset.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "path": "v1alpha1/{+parent}/datasets", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets", "parameterOrder": [ "parent" ], "parameters": { "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The parent resource of the dataset.", "type": "string", "required": true, "location": "path" }, "datasetId": { "location": "query", "description": "Optional. The ID to use for the dataset.", "type": "string" } } }, "patch": { "description": "Updates a dataset.", "parameters": { "updateMask": { "location": "query", "description": "Optional. The list of fields to update.", "format": "google-fieldmask", "type": "string" }, "name": { "required": true, "description": "Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}", "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}", "id": "contactcenterinsights.projects.locations.datasets.patch", "httpMethod": "PATCH", "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" }, "path": "v1alpha1/{+name}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "listAllFeedbackLabels": { "path": "v1alpha1/{+parent}:listAllFeedbackLabels", "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAllFeedbackLabelsResponse" }, "description": "List all feedback labels by project number.", "httpMethod": "GET", "id": "contactcenterinsights.projects.locations.datasets.listAllFeedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}:listAllFeedbackLabels", "parameters": { "pageToken": { "location": "query", "description": "Optional. The value returned by the last `ListAllFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListAllFeedbackLabels` call and that the system should return the next page of data.", "type": "string" }, "pageSize": { "location": "query", "format": "int32", "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer" }, "filter": { "description": "Optional. A filter to reduce results to a specific subset in the entire project. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string", "location": "query" }, "parent": { "type": "string", "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "description": "Required. The parent resource of all feedback labels per project." } } }, "list": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "parent" ], "id": "contactcenterinsights.projects.locations.datasets.list", "parameters": { "filter": { "location": "query", "description": "Optional. A filter to reduce results to a specific subset. Useful for querying datasets with specific properties. Supported fields include, for Q2 though we only support list by project: - `type` - `description` - `project_number`", "type": "string" }, "pageToken": { "description": "Optional. The value returned by the last `ListDatasetsResponse`; indicates that this is a continuation of a prior `ListDatasets` call and the system should return the next page of data.", "type": "string", "location": "query" }, "parent": { "type": "string", "description": "Required. The parent resource of the dataset.", "pattern": "^projects/[^/]+/locations/[^/]+$", "required": true, "location": "path" }, "pageSize": { "location": "query", "format": "int32", "description": "Optional. The maximum number of datasets to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "type": "integer" } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListDatasetsResponse" }, "description": "List datasets matching the input.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets", "path": "v1alpha1/{+parent}/datasets", "httpMethod": "GET" }, "bulkDeleteFeedbackLabels": { "id": "contactcenterinsights.projects.locations.datasets.bulkDeleteFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}:bulkDeleteFeedbackLabels", "path": "v1alpha1/{+parent}:bulkDeleteFeedbackLabels", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest" }, "parameters": { "parent": { "required": true, "description": "Required. The parent resource for new feedback labels.", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "type": "string" } }, "description": "Delete feedback labels in bulk using a filter.", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "response": { "$ref": "GoogleLongrunningOperation" } }, "bulkDownloadFeedbackLabels": { "httpMethod": "POST", "response": { "$ref": "GoogleLongrunningOperation" }, "description": "Download feedback labels in bulk from an external source. Currently supports exporting Quality AI example conversations with transcripts and question bodies.", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequest" }, "path": "v1alpha1/{+parent}:bulkDownloadFeedbackLabels", "id": "contactcenterinsights.projects.locations.datasets.bulkDownloadFeedbackLabels", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/datasets/{datasetsId}:bulkDownloadFeedbackLabels", "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "parent": { "description": "Required. The parent resource for new feedback labels.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/datasets/[^/]+$", "location": "path" } } } } }, "qaScorecards": { "methods": { "delete": { "httpMethod": "DELETE", "path": "v1alpha1/{+name}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}", "id": "contactcenterinsights.projects.locations.qaScorecards.delete", "parameterOrder": [ "name" ], "response": { "$ref": "GoogleProtobufEmpty" }, "description": "Deletes a QaScorecard.", "parameters": { "name": { "description": "Required. The name of the QaScorecard to delete.", "location": "path", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$" }, "force": { "location": "query", "type": "boolean", "description": "Optional. If set to true, all of this QaScorecard's child resources will also be deleted. Otherwise, the request will only succeed if it has none." } } }, "patch": { "parameters": { "name": { "location": "path", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$", "description": "Identifier. The scorecard name. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}" }, "updateMask": { "description": "Required. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `description` * `display_name`", "format": "google-fieldmask", "type": "string", "location": "query" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "httpMethod": "PATCH", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Updates a QaScorecard.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}", "id": "contactcenterinsights.projects.locations.qaScorecards.patch" }, "create": { "parameterOrder": [ "parent" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards", "id": "contactcenterinsights.projects.locations.qaScorecards.create", "parameters": { "qaScorecardId": { "description": "Optional. A unique ID for the new QaScorecard. This ID will become the final component of the QaScorecard's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`.", "type": "string", "location": "query" }, "parent": { "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "type": "string", "required": true, "description": "Required. The parent resource of the QaScorecard." } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "description": "Create a QaScorecard.", "path": "v1alpha1/{+parent}/qaScorecards", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "httpMethod": "POST" }, "get": { "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$", "location": "path", "required": true, "type": "string", "description": "Required. The name of the QaScorecard to get." } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}", "httpMethod": "GET", "description": "Gets a QaScorecard.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "id": "contactcenterinsights.projects.locations.qaScorecards.get", "path": "v1alpha1/{+name}" }, "list": { "path": "v1alpha1/{+parent}/qaScorecards", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "qaScorecardSources": { "description": "Optional. The source of scorecards are based on how those Scorecards were created, e.g., a customer-defined scorecard, a predefined scorecard, etc. This field is used to retrieve Scorecards of one or more sources.", "location": "query", "enumDescriptions": [ "The source of the scorecard is unspecified. Default to QA_SCORECARD_SOURCE_CUSTOMER_DEFINED.", "The scorecard is a custom scorecard created by the user.", "The scorecard is a scorecard created through discovery engine deployment.", "The scorecard is derived from the custom intent taxonomy. Customers can edit question content, but cannot delete the scorecard or add/remove questions." ], "enum": [ "QA_SCORECARD_SOURCE_UNSPECIFIED", "QA_SCORECARD_SOURCE_CUSTOMER_DEFINED", "QA_SCORECARD_SOURCE_DISCOVERY_ENGINE", "QA_SCORECARD_SOURCE_INTENT_TAXONOMY" ], "type": "string", "repeated": true }, "pageToken": { "type": "string", "description": "Optional. The value returned by the last `ListQaScorecardsResponse`. This value indicates that this is a continuation of a prior `ListQaScorecards` call and that the system should return the next page of data.", "location": "query" }, "pageSize": { "type": "integer", "location": "query", "description": "Optional. The maximum number of scorecards to return in the response. If the value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.", "format": "int32" }, "parent": { "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "type": "string", "description": "Required. The parent resource of the scorecards." } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardsResponse" }, "id": "contactcenterinsights.projects.locations.qaScorecards.list", "httpMethod": "GET", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards", "parameterOrder": [ "parent" ], "description": "Lists QaScorecards." } }, "resources": { "revisions": { "resources": { "qaQuestions": { "methods": { "create": { "parameters": { "parent": { "location": "path", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "description": "Required. The parent resource of the QaQuestion.", "type": "string" }, "qaQuestionId": { "location": "query", "description": "Optional. A unique ID for the new question. This ID will become the final component of the question's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`.", "type": "string" } }, "parameterOrder": [ "parent" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.create", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "path": "v1alpha1/{+parent}/qaQuestions", "description": "Create a QaQuestion.", "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" } }, "delete": { "response": { "$ref": "GoogleProtobufEmpty" }, "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.delete", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+/qaQuestions/[^/]+$", "type": "string", "description": "Required. The name of the QaQuestion to delete.", "location": "path", "required": true } }, "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Deletes a QaQuestion.", "httpMethod": "DELETE", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions/{qaQuestionsId}", "path": "v1alpha1/{+name}" }, "get": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions/{qaQuestionsId}", "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.get", "httpMethod": "GET", "description": "Gets a QaQuestion.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "parameters": { "name": { "location": "path", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+/qaQuestions/[^/]+$", "description": "Required. The name of the QaQuestion to get." } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" } }, "list": { "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.list", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionsResponse" }, "path": "v1alpha1/{+parent}/qaQuestions", "parameters": { "pageSize": { "location": "query", "type": "integer", "description": "Optional. The maximum number of questions to return in the response. If the 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.", "format": "int32" }, "pageToken": { "location": "query", "type": "string", "description": "Optional. The value returned by the last `ListQaQuestionsResponse`. This value indicates that this is a continuation of a prior `ListQaQuestions` call and that the system should return the next page of data." }, "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "description": "Required. The parent resource of the questions.", "type": "string", "location": "path" } }, "description": "Lists QaQuestions.", "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "patch": { "httpMethod": "PATCH", "description": "Updates a QaQuestion.", "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.qaQuestions.patch", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}/qaQuestions/{qaQuestionsId}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "parameterOrder": [ "name" ], "path": "v1alpha1/{+name}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "parameters": { "name": { "description": "Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}", "required": true, "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+/qaQuestions/[^/]+$" }, "updateMask": { "type": "string", "description": "Required. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `abbreviation` * `answer_choices` * `answer_instructions` * `order` * `question_body` * `tags`", "format": "google-fieldmask", "location": "query" } } } } } }, "methods": { "tuneQaScorecardRevision": { "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.tuneQaScorecardRevision", "httpMethod": "POST", "description": "Fine tune one or more QaModels.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}:tuneQaScorecardRevision", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "parent": { "description": "Required. The parent resource for new fine tuning job instance.", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "type": "string", "required": true, "location": "path" } }, "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleLongrunningOperation" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TuneQaScorecardRevisionRequest" }, "path": "v1alpha1/{+parent}:tuneQaScorecardRevision" }, "get": { "httpMethod": "GET", "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "name": { "required": true, "location": "path", "description": "Required. The name of the QaScorecardRevision to get.", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "type": "string" } }, "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.get", "parameterOrder": [ "name" ], "description": "Gets a QaScorecardRevision." }, "list": { "path": "v1alpha1/{+parent}/revisions", "httpMethod": "GET", "description": "Lists all revisions under the parent QaScorecard.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "qaScorecardSources": { "repeated": true, "description": "Optional. The source of scorecards are based on how those Scorecards were created, e.g., a customer-defined scorecard, a predefined scorecard, etc. This field is used to retrieve Scorecards Revisions from Scorecards of one or more sources.", "type": "string", "enumDescriptions": [ "The source of the scorecard is unspecified. Default to QA_SCORECARD_SOURCE_CUSTOMER_DEFINED.", "The scorecard is a custom scorecard created by the user.", "The scorecard is a scorecard created through discovery engine deployment.", "The scorecard is derived from the custom intent taxonomy. Customers can edit question content, but cannot delete the scorecard or add/remove questions." ], "enum": [ "QA_SCORECARD_SOURCE_UNSPECIFIED", "QA_SCORECARD_SOURCE_CUSTOMER_DEFINED", "QA_SCORECARD_SOURCE_DISCOVERY_ENGINE", "QA_SCORECARD_SOURCE_INTENT_TAXONOMY" ], "location": "query" }, "pageToken": { "location": "query", "type": "string", "description": "Optional. The value returned by the last `ListQaScorecardRevisionsResponse`. This value indicates that this is a continuation of a prior `ListQaScorecardRevisions` call and that the system should return the next page of data." }, "parent": { "description": "Required. The parent resource of the scorecard revisions. To list all revisions of all scorecards, substitute the QaScorecard ID with a '-' character.", "required": true, "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$" }, "filter": { "location": "query", "description": "Optional. A filter to reduce results to a specific subset. Useful for querying scorecard revisions with specific properties.", "type": "string" }, "pageSize": { "type": "integer", "format": "int32", "description": "Optional. The maximum number of scorecard revisions to return in the response. If the 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.", "location": "query" } }, "parameterOrder": [ "parent" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardRevisionsResponse" }, "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.list" }, "delete": { "httpMethod": "DELETE", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "description": "Deletes a QaScorecardRevision.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}", "response": { "$ref": "GoogleProtobufEmpty" }, "path": "v1alpha1/{+name}", "parameters": { "force": { "type": "boolean", "description": "Optional. If set to true, all of this QaScorecardRevision's child resources will also be deleted. Otherwise, the request will only succeed if it has none.", "location": "query" }, "name": { "description": "Required. The name of the QaScorecardRevision to delete.", "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "type": "string", "required": true, "location": "path" } }, "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.delete" }, "deploy": { "parameterOrder": [ "name" ], "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "httpMethod": "POST", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "parameters": { "name": { "description": "Required. The name of the QaScorecardRevision to deploy.", "type": "string", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "location": "path" } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeployQaScorecardRevisionRequest" }, "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.deploy", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}:deploy", "path": "v1alpha1/{+name}:deploy", "description": "Deploy a QaScorecardRevision." }, "undeploy": { "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.undeploy", "description": "Undeploy a QaScorecardRevision.", "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions/{revisionsId}:undeploy", "path": "v1alpha1/{+name}:undeploy", "parameterOrder": [ "name" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1UndeployQaScorecardRevisionRequest" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+/revisions/[^/]+$", "description": "Required. The name of the QaScorecardRevision to undeploy.", "location": "path", "required": true, "type": "string" } } }, "create": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/qaScorecards/{qaScorecardsId}/revisions", "parameters": { "parent": { "location": "path", "description": "Required. The parent resource of the QaScorecardRevision.", "required": true, "pattern": "^projects/[^/]+/locations/[^/]+/qaScorecards/[^/]+$", "type": "string" }, "qaScorecardRevisionId": { "description": "Optional. A unique ID for the new QaScorecardRevision. This ID will become the final component of the QaScorecardRevision's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`.", "type": "string", "location": "query" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "path": "v1alpha1/{+parent}/revisions", "httpMethod": "POST", "description": "Creates a QaScorecardRevision.", "id": "contactcenterinsights.projects.locations.qaScorecards.revisions.create", "parameterOrder": [ "parent" ] } } } } } }, "methods": { "getEncryptionSpec": { "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1EncryptionSpec" }, "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/encryptionSpec$", "required": true, "type": "string", "location": "path", "description": "Required. The name of the encryption spec resource to get." } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.getEncryptionSpec", "parameterOrder": [ "name" ], "description": "Gets location-level encryption key specification.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/encryptionSpec", "httpMethod": "GET" }, "bulkDeleteFeedbackLabels": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:bulkDeleteFeedbackLabels", "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.bulkDeleteFeedbackLabels", "path": "v1alpha1/{+parent}:bulkDeleteFeedbackLabels", "parameterOrder": [ "parent" ], "parameters": { "parent": { "description": "Required. The parent resource for new feedback labels.", "required": true, "type": "string", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Delete feedback labels in bulk using a filter.", "response": { "$ref": "GoogleLongrunningOperation" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest" } }, "queryMetrics": { "description": "Query metrics.", "id": "contactcenterinsights.projects.locations.queryMetrics", "parameters": { "location": { "type": "string", "required": true, "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "location": "path", "pattern": "^projects/[^/]+/locations/[^/]+$" } }, "parameterOrder": [ "location" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:queryMetrics", "response": { "$ref": "GoogleLongrunningOperation" }, "httpMethod": "POST", "path": "v1alpha1/{+location}:queryMetrics", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsRequest" } }, "testCorrelationConfig": { "httpMethod": "POST", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequest" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleLongrunningOperation" }, "parameterOrder": [ "location" ], "path": "v1alpha1/{+location}:testCorrelationConfig", "id": "contactcenterinsights.projects.locations.testCorrelationConfig", "parameters": { "location": { "pattern": "^projects/[^/]+/locations/[^/]+$", "description": "Required. The location to test correlation config. Format: projects/{project}/locations/{location}", "type": "string", "location": "path", "required": true } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:testCorrelationConfig", "description": "Tests correlation config on a conversation." }, "getCorrelationConfig": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig" }, "parameterOrder": [ "name" ], "parameters": { "name": { "description": "Required. The name of the correlation config resource to get. Format: projects/{project}/locations/{location}/correlationConfig", "required": true, "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+/correlationConfig$", "location": "path" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Gets correlation config.", "httpMethod": "GET", "path": "v1alpha1/{+name}", "id": "contactcenterinsights.projects.locations.getCorrelationConfig", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/correlationConfig" }, "listAllFeedbackLabels": { "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:listAllFeedbackLabels", "httpMethod": "GET", "parameterOrder": [ "parent" ], "path": "v1alpha1/{+parent}:listAllFeedbackLabels", "id": "contactcenterinsights.projects.locations.listAllFeedbackLabels", "description": "List all feedback labels by project number.", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ListAllFeedbackLabelsResponse" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameters": { "pageSize": { "description": "Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.", "type": "integer", "format": "int32", "location": "query" }, "filter": { "type": "string", "description": "Optional. A filter to reduce results to a specific subset in the entire project. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "location": "query" }, "pageToken": { "description": "Optional. The value returned by the last `ListAllFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListAllFeedbackLabels` call and that the system should return the next page of data.", "type": "string", "location": "query" }, "parent": { "required": true, "description": "Required. The parent resource of all feedback labels per project.", "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$" } } }, "bulkDownloadFeedbackLabels": { "id": "contactcenterinsights.projects.locations.bulkDownloadFeedbackLabels", "parameterOrder": [ "parent" ], "parameters": { "parent": { "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "description": "Required. The parent resource for new feedback labels." } }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequest" }, "response": { "$ref": "GoogleLongrunningOperation" }, "httpMethod": "POST", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:bulkDownloadFeedbackLabels", "description": "Download feedback labels in bulk from an external source. Currently supports exporting Quality AI example conversations with transcripts and question bodies.", "path": "v1alpha1/{+parent}:bulkDownloadFeedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] }, "updateSettings": { "description": "Updates project-level settings.", "parameters": { "name": { "pattern": "^projects/[^/]+/locations/[^/]+/settings$", "location": "path", "type": "string", "required": true, "description": "Immutable. The resource name of the settings resource. Format: projects/{project}/locations/{location}/settings" }, "updateMask": { "format": "google-fieldmask", "location": "query", "description": "Required. The list of fields to be updated.", "type": "string" } }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/settings", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "parameterOrder": [ "name" ], "httpMethod": "PATCH", "id": "contactcenterinsights.projects.locations.updateSettings", "path": "v1alpha1/{+name}", "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Settings" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Settings" } }, "updateCorrelationConfig": { "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig" }, "description": "Updates correlation config.", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig" }, "httpMethod": "PATCH", "id": "contactcenterinsights.projects.locations.updateCorrelationConfig", "path": "v1alpha1/{+name}", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/correlationConfig", "parameterOrder": [ "name" ], "parameters": { "name": { "description": "Immutable. Identifier. The resource name of the correlation config. Format: projects/{project}/locations/{location}/correlationConfig", "pattern": "^projects/[^/]+/locations/[^/]+/correlationConfig$", "location": "path", "type": "string", "required": true }, "updateMask": { "format": "google-fieldmask", "description": "Optional. The list of fields to be updated.", "type": "string", "location": "query" } } }, "getSettings": { "response": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Settings" }, "description": "Gets project-level settings.", "httpMethod": "GET", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "id": "contactcenterinsights.projects.locations.getSettings", "path": "v1alpha1/{+name}", "parameterOrder": [ "name" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}/settings", "parameters": { "name": { "location": "path", "required": true, "type": "string", "description": "Required. The name of the settings resource to get.", "pattern": "^projects/[^/]+/locations/[^/]+/settings$" } } }, "bulkUploadFeedbackLabels": { "parameterOrder": [ "parent" ], "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequest" }, "parameters": { "parent": { "required": true, "description": "Required. The parent resource for new feedback labels.", "location": "path", "type": "string", "pattern": "^projects/[^/]+/locations/[^/]+$" } }, "response": { "$ref": "GoogleLongrunningOperation" }, "description": "Upload feedback labels from an external source in bulk. Currently supports labeling Quality AI example conversations.", "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:bulkUploadFeedbackLabels", "id": "contactcenterinsights.projects.locations.bulkUploadFeedbackLabels", "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "path": "v1alpha1/{+parent}:bulkUploadFeedbackLabels", "httpMethod": "POST" }, "generativeInsights": { "response": { "$ref": "GoogleLongrunningOperation" }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Natural language based Insights which powers the next generation of dashboards in Insights. Next generation of QueryMetrics.", "httpMethod": "POST", "parameterOrder": [ "location" ], "id": "contactcenterinsights.projects.locations.generativeInsights", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsRequest" }, "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:generativeInsights", "path": "v1alpha1/{+location}:generativeInsights", "parameters": { "location": { "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"", "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "required": true, "type": "string" } } }, "queryPerformanceOverview": { "response": { "$ref": "GoogleLongrunningOperation" }, "path": "v1alpha1/{+parent}:queryPerformanceOverview", "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequest" }, "parameters": { "parent": { "required": true, "pattern": "^projects/[^/]+/locations/[^/]+$", "location": "path", "description": "Required. The parent resource of the conversations to derive performance stats from. \"projects/{project}/locations/{location}\"", "type": "string" } }, "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ], "description": "Generates a summary of predefined performance metrics for a set of conversations. Conversations can be specified by specifying a time window and an agent id, for now. The summary includes a comparison of metrics computed for conversations in the previous time period, and also a comparison with peers in the same time period.", "httpMethod": "POST", "id": "contactcenterinsights.projects.locations.queryPerformanceOverview", "parameterOrder": [ "parent" ], "flatPath": "v1alpha1/projects/{projectsId}/locations/{locationsId}:queryPerformanceOverview" } } } } } }, "baseUrl": "https://contactcenterinsights.googleapis.com/", "title": "Contact Center AI Insights API", "rootUrl": "https://contactcenterinsights.googleapis.com/", "description": "", "canonicalName": "Contactcenterinsights", "name": "contactcenterinsights", "revision": "20261029", "icons": { "x16": "http://www.google.com/images/icons/product/search-16.gif", "x32": "http://www.google.com/images/icons/product/search-32.gif" }, "parameters": { "alt": { "location": "query", "description": "Data format for response.", "enumDescriptions": [ "Responses with Content-Type of application/json", "Media download with context-dependent Content-Type", "Responses with Content-Type of application/x-protobuf" ], "enum": [ "json", "media", "proto" ], "type": "string", "default": "json" }, "quotaUser": { "location": "query", "type": "string", "description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters." }, "uploadType": { "location": "query", "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").", "type": "string" }, "key": { "type": "string", "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.", "location": "query" }, "oauth_token": { "location": "query", "type": "string", "description": "OAuth 2.0 token for the current user." }, "access_token": { "description": "OAuth access token.", "type": "string", "location": "query" }, "$.xgafv": { "location": "query", "description": "V1 error format.", "enum": [ "1", "2" ], "type": "string", "enumDescriptions": [ "v1 error format", "v2 error format" ] }, "prettyPrint": { "type": "boolean", "default": "true", "location": "query", "description": "Returns response with indentations and line breaks." }, "upload_protocol": { "location": "query", "description": "Upload protocol for media (e.g. \"raw\", \"multipart\").", "type": "string" }, "callback": { "type": "string", "description": "JSONP", "location": "query" }, "fields": { "type": "string", "description": "Selector specifying which fields to include in a partial response.", "location": "query" } }, "ownerName": "Google", "servicePath": "", "fullyEncodeReservedExpansion": true, "schemas": { "GoogleCloudContactcenterinsightsV1QueryPerformanceOverviewMetadata": { "id": "GoogleCloudContactcenterinsightsV1QueryPerformanceOverviewMetadata", "type": "object", "properties": {}, "description": "The metadata for querying performance overview." }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentWordInfo": { "type": "object", "properties": { "endOffset": { "type": "string", "format": "google-duration", "description": "Time offset of the end of this word relative to the beginning of the total conversation." }, "startOffset": { "format": "google-duration", "description": "Time offset of the start of this word relative to the beginning of the total conversation.", "type": "string" }, "word": { "type": "string", "description": "The word itself. Includes punctuation marks that surround the word." }, "confidence": { "type": "number", "description": "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.", "format": "float" } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentWordInfo", "description": "Word-level info for words in a transcript." }, "GoogleCloudContactcenterinsightsV1Dimension": { "id": "GoogleCloudContactcenterinsightsV1Dimension", "properties": { "conversationProfileDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1DimensionConversationProfileDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the conversation profile dimension." }, "conversationalAgentsPlaybookDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsPlaybookDimensionMetadata", "description": "Output only. Metadata about the Conversational Agents playbook dimension.", "readOnly": true }, "conversationalAgentsToolDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsToolDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the Conversational Agents tool dimension." }, "qaQuestionDimensionMetadata": { "description": "Output only. Metadata about the QA question dimension.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1DimensionQaQuestionDimensionMetadata" }, "labelDimensionMetadata": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1DimensionLabelDimensionMetadata", "description": "Output only. Metadata about conversation labels." }, "agentDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1DimensionAgentDimensionMetadata", "description": "Output only. Metadata about the agent dimension.", "readOnly": true }, "dimensionKey": { "enum": [ "DIMENSION_KEY_UNSPECIFIED", "ISSUE", "ISSUE_NAME", "AGENT", "AGENT_TEAM", "QA_QUESTION_ID", "QA_QUESTION_ANSWER_VALUE", "QA_SCORECARD_ID", "CONVERSATION_PROFILE_ID", "MEDIUM", "CONVERSATIONAL_AGENTS_PLAYBOOK_ID", "CONVERSATIONAL_AGENTS_PLAYBOOK_NAME", "CONVERSATIONAL_AGENTS_TOOL_ID", "CONVERSATIONAL_AGENTS_TOOL_NAME", "CLIENT_SENTIMENT_CATEGORY", "AGENT_VERSION_ID", "AGENT_DEPLOYMENT_ID", "AGENT_ASSIST_SUPERVISOR_ID", "LABEL_KEY", "LABEL_VALUE", "LABEL_KEY_AND_VALUE", "LAST_TRANSFER_SUB_AGENT_NAME" ], "description": "The key of the dimension.", "type": "string", "enumDescriptions": [ "The key of the dimension is unspecified.", "The dimension is keyed by issues.", "The dimension is keyed by issue names.", "The dimension is keyed by agents.", "The dimension is keyed by agent teams.", "The dimension is keyed by QaQuestionIds. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing stats for the same question across different scorecard revisions.", "The dimension is keyed by QaQuestionIds-Answer value pairs. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing distribution of answers per question across different scorecard revisions.", "The dimension is keyed by QaScorecardIds. Note that: We only group by the ScorecardId and not the revision-id of the scorecard. This allows for showing stats for the same scorecard across different revisions. This metric is mostly only useful if querying the average normalized score per scorecard.", "The dimension is keyed by the conversation profile ID.", "The dimension is keyed by the conversation medium.", "The dimension is keyed by the Conversational Agents playbook ID.", "The dimension is keyed by the Conversational Agents playbook display name.", "The dimension is keyed by the Conversational Agents tool ID.", "The dimension is keyed by the Conversational Agents tool display name.", "The dimension is keyed by the client sentiment category.", "The dimension is keyed by the agent version ID.", "The dimension is keyed by the agent deployment ID.", "The dimension is keyed by the supervisor ID of the assigned human supervisor for virtual agents.", "The dimension is keyed by label keys.", "The dimension is keyed by label values.", "The dimension is keyed by label key-value pairs.", "The dimension is keyed by the last transfer sub agent name." ] }, "issueDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1DimensionIssueDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the issue dimension." }, "mediumDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1DimensionMediumDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the conversation medium dimension." }, "qaScorecardDimensionMetadata": { "description": "Output only. Metadata about the QA scorecard dimension.", "$ref": "GoogleCloudContactcenterinsightsV1DimensionQaScorecardDimensionMetadata", "readOnly": true }, "clientSentimentCategoryDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1DimensionClientSentimentCategoryDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the client sentiment category dimension." }, "qaQuestionAnswerDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1DimensionQaQuestionAnswerDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the QA question-answer dimension." } }, "type": "object", "description": "A dimension determines the grouping key for the query. In SQL terms, these would be part of both the \"SELECT\" and \"GROUP BY\" clauses." }, "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfigScorecardList": { "id": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfigScorecardList", "type": "object", "description": "Container for a list of scorecards.", "properties": { "qaScorecardRevisions": { "description": "List of QaScorecardRevisions.", "items": { "type": "string" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1DimensionConversationProfileDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1DimensionConversationProfileDimensionMetadata", "description": "Metadata about the conversation profile dimension.", "properties": { "conversationProfileId": { "type": "string", "description": "Optional. The conversation profile ID." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsPlaybookDimensionMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsPlaybookDimensionMetadata", "description": "Metadata about the Conversational Agents playbook dimension.", "properties": { "playbookId": { "type": "string", "description": "Optional. The dialogflow playbook ID." }, "playbookDisplayName": { "type": "string", "description": "Optional. The dialogflow playbook display name." } } }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsRequest": { "type": "object", "properties": { "parent": { "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}", "type": "string" }, "maxDeleteCount": { "description": "Maximum number of conversations to delete.", "format": "int32", "type": "integer" }, "force": { "type": "boolean", "description": "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." }, "filter": { "type": "string", "description": "Filter used to select the subset of conversations to delete." } }, "description": "The request to delete conversations in bulk.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsRequest" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadataAgentInfo": { "description": "Information about an agent involved in the conversation.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadataAgentInfo", "type": "object", "properties": { "deploymentDisplayName": { "description": "The agent's deployment display name. Only applicable to automated agents.", "type": "string" }, "displayName": { "description": "The agent's name.", "type": "string" }, "agentId": { "description": "A user-specified string representing the agent.", "type": "string" }, "agentType": { "description": "The agent type, e.g. HUMAN_AGENT.", "type": "string", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ] }, "location": { "type": "string", "description": "The agent's location." }, "dispositionCode": { "description": "A user-provided string indicating the outcome of the agent's segment of the call.", "type": "string" }, "studyArmId": { "type": "string", "description": "The study arm ID associated with the conversation. Only applicable to automated agents." }, "entrySubagentDisplayName": { "description": "The entry subagent's display name.", "type": "string" }, "versionId": { "type": "string", "description": "The agent's version ID. Only applicable to automated agents." }, "studyId": { "description": "The study ID associated with the conversation. Only applicable to automated agents.", "type": "string" }, "team": { "type": "string", "description": "A user-specified string representing the agent's team. Deprecated in favor of the `teams` field.", "deprecated": true }, "entrySubagentId": { "description": "The entry subagent's ID.", "type": "string" }, "versionDisplayName": { "description": "The agent's version display name. Only applicable to automated agents.", "type": "string" }, "teams": { "items": { "type": "string" }, "type": "array", "description": "User-specified strings representing the agent's teams." }, "deploymentId": { "description": "The agent's deployment ID. Only applicable to automated agents.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPart": { "type": "object", "properties": { "suggestionChips": { "description": "Optional. Suggestion chips or interactive buttons.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart" }, "customPayload": { "description": "Optional. Generic custom structured payload.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart" }, "productCollection": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart", "description": "Optional. Product collection or carousel." }, "table": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTablePart", "description": "Optional. Tabular data." }, "list": { "description": "Optional. Ordered or unordered list.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartListPart" }, "citation": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartCitationPart", "description": "Optional. Citation or reference to grounding material." }, "text": { "description": "Optional. Plain text content.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTextPart" }, "video": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartMediaPart", "description": "Optional. Video media." }, "thought": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart", "description": "Optional. Model thought or internal reasoning." }, "link": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartLinkPart", "description": "Optional. Web link or URL." }, "image": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartMediaPart", "description": "Optional. Image media." } }, "description": "A structured component/part of a transcript segment.", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPart" }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponseDetailedCorrelationResults": { "properties": { "joinKeyResults": { "description": "A list of join key correlation results for each conversation tested.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationCorrelationResult" }, "type": "array" }, "constraintResults": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResult" }, "description": "A list of constraint evaluation results for each pair of conversations." } }, "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponseDetailedCorrelationResults", "type": "object", "description": "Wrapper for detailed, step-by-step results." }, "GoogleCloudContactcenterinsightsV1ExportIssueModelResponse": { "type": "object", "description": "Response from export issue model", "properties": {}, "id": "GoogleCloudContactcenterinsightsV1ExportIssueModelResponse" }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponse": { "properties": { "transcript": { "description": "The transcript of the generative insights conversation.", "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscript" }, "timeZone": { "type": "string", "description": "The time zone name from the [IANA Time Zone Database](https://www.iana.org/time-zones) that the query actually used to group results. Equals the requested `time_zone` when the chart SQL supports time zones, otherwise `\"UTC\"`." }, "generativeResponses": { "type": "array", "description": "The full list of generative responses. Each response is ordered by time.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponse" } } }, "description": "The response for generative insights.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponse" }, "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRuleLabelingCondition": { "properties": { "condition": { "description": "A optional CEL expression to be evaluated as a boolean value. Once evaluated as true, then we will proceed with the value evaluation. An empty condition will be auto evaluated as true.", "type": "string" }, "value": { "type": "string", "description": "CEL expression to be evaluated as the value." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRuleLabelingCondition", "description": "Condition for auto-labeling conversations." }, "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsResponse": { "properties": { "successfulAnalysisCount": { "format": "int32", "description": "Count of successful analyses.", "type": "integer" }, "failedAnalysisCount": { "type": "integer", "format": "int32", "description": "Count of failed analyses." } }, "description": "The response for a bulk analyze conversations operation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsResponse" }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceTimeSeries": { "type": "object", "properties": { "dataPoints": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPoint" }, "type": "array", "description": "The data points that make up the time series ." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceTimeSeries", "description": "A time series of metric values." }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessageTextOutput": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessageTextOutput", "properties": { "text": { "description": "The parts of the message.", "type": "array", "items": { "type": "string" } }, "textType": { "type": "string", "description": "The type of the text message.", "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "enumDescriptions": [ "The default text type.", "The text is a thinking plan generated by the thinking tool.", "The text is a final response to the user question.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ] } }, "description": "A text output message from the system.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainArticleSuggestionData": { "description": "Agent Assist Article Suggestion data.", "properties": { "title": { "description": "Article title.", "type": "string" }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" }, "confidenceScore": { "description": "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).", "type": "number", "format": "float" }, "metadata": { "additionalProperties": { "type": "string" }, "type": "object", "description": "Map that contains metadata about the Article Suggestion and the document that it originates from." }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}", "type": "string" }, "uri": { "description": "Article URI.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainArticleSuggestionData", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegment": { "properties": { "sentiment": { "description": "The sentiment for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData" }, "languageCode": { "description": "The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: \"en-US\".", "type": "string" }, "words": { "type": "array", "description": "A list of the word-specific information for each word in the segment.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentWordInfo" } }, "channelTag": { "description": "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.", "format": "int32", "type": "integer" }, "messageTime": { "format": "google-datetime", "description": "The time that the message occurred, if provided.", "type": "string" }, "segmentParticipant": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationParticipant", "description": "The participant of this segment." }, "turnLevelAudio": { "description": "Turn level audio for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationDataSourceTurnLevelAudio" }, "dialogflowSegmentMetadata": { "description": "CCAI metadata relating to the current transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata" }, "text": { "description": "The text of this segment.", "type": "string" }, "parts": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPart" }, "description": "Optional. The structured parts that make up this transcript segment.", "type": "array" }, "confidence": { "type": "number", "format": "float", "description": "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." } }, "type": "object", "description": "A segment of a full transcript.", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegment" }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsResponse": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsResponse", "description": "The response to an IngestConversations operation.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput", "type": "object", "properties": { "textType": { "type": "string", "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "description": "The type of the text message.", "enumDescriptions": [ "The default text type.", "The text is a thinking plan generated by the thinking tool.", "The text is a final response to the user question.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ] }, "text": { "description": "The parts of the message.", "type": "array", "items": { "type": "string" } } }, "description": "A text output message from the system." }, "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequestBigQueryDestination": { "description": "A BigQuery Table Reference.", "properties": { "table": { "type": "string", "description": "The BigQuery table name to which the insights data should be written. If this table does not exist, the export call returns an INVALID_ARGUMENT error." }, "dataset": { "description": "Required. The name of the BigQuery dataset that the snapshot result should be exported to. If this dataset does not exist, the export call returns an INVALID_ARGUMENT error.", "type": "string" }, "projectId": { "description": "A project ID or number. If specified, then export will attempt to write data to this project instead of the resource project. Otherwise, the resource project will be used.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequestBigQueryDestination", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfigRelativeDateRange": { "description": "Relative date range configuration.", "properties": { "quantity": { "format": "int64", "type": "string", "description": "Required. The quantity of units in the past." }, "unit": { "description": "Required. The unit of time.", "enum": [ "TIME_UNIT_UNSPECIFIED", "DAY", "WEEK", "MONTH", "QUARTER", "YEAR" ], "enumDescriptions": [ "Unspecified.", "Day.", "Week.", "Month.", "Quarter.", "Year." ], "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfigRelativeDateRange", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsResponse": { "description": "The response to an IngestConversations operation.", "properties": {}, "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1IntentMatchData": { "type": "object", "properties": { "intentUniqueId": { "description": "The id of the matched intent. Can be used to retrieve the corresponding intent information.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1IntentMatchData", "description": "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." }, "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelMetadata", "description": "Metadata used for import issue model.", "properties": { "createTime": { "type": "string", "description": "The time the operation was created.", "format": "google-datetime" }, "endTime": { "format": "google-datetime", "type": "string", "description": "The time the operation finished running." }, "request": { "description": "The original import request.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequest" } } }, "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponse", "properties": { "smartHighlighterMatches": { "description": "A map associating each smart highlighter display name with its respective number of matches in the set of conversations.", "additionalProperties": { "format": "int32", "type": "integer" }, "type": "object" }, "customHighlighterMatches": { "type": "object", "description": "A map associating each custom highlighter resource name with its respective number of matches in the set of conversations.", "additionalProperties": { "format": "int32", "type": "integer" } }, "issueMatches": { "deprecated": true, "description": "A map associating each issue resource name with its respective number of matches in the set of conversations. Key has the format: `projects//locations//issueModels//issues/` Deprecated, use `issue_matches_stats` field instead.", "additionalProperties": { "format": "int32", "type": "integer" }, "type": "object" }, "averageDuration": { "description": "The average duration of all conversations. The average is calculated using only conversations that have a time duration.", "format": "google-duration", "type": "string" }, "issueMatchesStats": { "type": "object", "description": "A map associating each issue resource name with its respective number of matches in the set of conversations. Key has the format: `projects//locations//issueModels//issues/`", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStatsIssueStats" } }, "averageTurnCount": { "format": "int32", "description": "The average number of turns per conversation.", "type": "integer" }, "conversationCount": { "description": "The total number of conversations.", "format": "int32", "type": "integer" }, "conversationCountTimeSeries": { "description": "A time series representing the count of conversations created over time that match that requested filter criteria.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeries" } }, "description": "The response for calculating conversation statistics." }, "GoogleCloudContactcenterinsightsV1alpha1HoldData": { "description": "The data for a hold annotation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1HoldData", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSilence": { "description": "Conversation-level silence data.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSilence", "properties": { "silenceDuration": { "format": "google-duration", "description": "Amount of time calculated to be in silence.", "type": "string" }, "silencePercentage": { "description": "Percentage of the total conversation spent in silence.", "type": "number", "format": "float" } } }, "GoogleCloudContactcenterinsightsV1mainEncryptionSpec": { "description": "A customer-managed encryption key specification that can be applied to all created resources (e.g. `Conversation`).", "properties": { "satisfiesPzs": { "readOnly": true, "description": "Output only. Whether this resource is zone separated.", "type": "boolean" }, "name": { "description": "Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec", "type": "string" }, "satisfiesPzi": { "readOnly": true, "description": "Output only. Whether this resource is zone isolated.", "type": "boolean" }, "kmsKey": { "type": "string", "description": "Required. The name of customer-managed encryption key that is used to secure a resource and its sub-resources. If empty, the resource is secured by our default encryption key. Only the key in the same location as this resource is allowed to be used for encryption. Format: `projects/{project}/locations/{location}/keyRings/{keyRing}/cryptoKeys/{key}`" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainEncryptionSpec" }, "GoogleCloudContactcenterinsightsV1mainSampleConversationsRequest": { "type": "object", "description": "The request to sample conversations to a dataset.", "properties": { "parent": { "description": "Required. The parent resource of the dataset.", "type": "string" }, "sampleRule": { "description": "Optional. The sample rule used for sampling conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainSampleRule" }, "destinationDataset": { "description": "The dataset resource to copy the sampled conversations to.", "$ref": "GoogleCloudContactcenterinsightsV1mainDataset" } }, "id": "GoogleCloudContactcenterinsightsV1mainSampleConversationsRequest" }, "GoogleCloudContactcenterinsightsV1DialogflowInteractionData": { "properties": { "confidence": { "type": "number", "format": "float", "description": "The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain)." }, "dialogflowIntentId": { "description": "The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}", "type": "string" } }, "description": "Dialogflow interaction data.", "id": "GoogleCloudContactcenterinsightsV1DialogflowInteractionData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1Settings": { "properties": { "redactionConfig": { "description": "Default DLP redaction resources to be applied while ingesting conversations. This applies to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversations coming from CCAI Platform.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig" }, "diagnosticMetricConfig": { "description": "Optional. Configuration for diagnostic metrics.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SettingsDiagnosticMetricConfig" }, "name": { "description": "Immutable. The resource name of the settings resource. Format: projects/{project}/locations/{location}/settings", "type": "string" }, "updateTime": { "readOnly": true, "type": "string", "description": "Output only. The time at which the settings were last updated.", "format": "google-datetime" }, "timeZone": { "description": "Optional. The time zone applied to the project. This is a string representation of the time zone, for example, \"America/New_York\". This field follows the IANA TZ database format. See https://www.iana.org/time-zones for a list of valid values. If no value is set the user time zone will be used.", "type": "string" }, "languageCode": { "type": "string", "description": "A language code to be applied to each transcript segment unless the segment already specifies a language code. Language code defaults to \"en-US\" if it is neither specified on the segment nor here." }, "pubsubNotificationSettings": { "additionalProperties": { "type": "string" }, "type": "object", "description": "A map that maps a notification trigger to a Pub/Sub topic. Each time a specified trigger occurs, Insights will notify the corresponding Pub/Sub topic. Keys are notification triggers. Supported keys are: * \"all-triggers\": Notify each time any of the supported triggers occurs. * \"create-analysis\": Notify each time an analysis is created. * \"create-conversation\": Notify each time a conversation is created. * \"export-insights-data\": Notify each time an export is complete. * \"ingest-conversations\": Notify each time an IngestConversations LRO is complete. * \"update-conversation\": Notify each time a conversation is updated via UpdateConversation. * \"upload-conversation\": Notify when an UploadConversation LRO is complete. * \"update-or-analyze-conversation\": Notify when an analysis for a conversation is completed or when the conversation is updated. The message will contain the conversation with transcript, analysis and other metadata. Values are Pub/Sub topics. The format of each Pub/Sub topic is: projects/{project}/topics/{topic}" }, "speechConfig": { "description": "Optional. Default Speech-to-Text resources to use while ingesting audio files. Optional, CCAI Insights will create a default if not provided. This applies to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversations coming from CCAI Platform.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig" }, "createTime": { "type": "string", "description": "Output only. The time at which the settings was created.", "readOnly": true, "format": "google-datetime" }, "screenRecordingBucketUri": { "description": "Optional. The path to a Cloud Storage bucket containing conversation screen recordings. If provided, Insights will search in the bucket for a screen recording file matching the conversation data source object name prefix. If matches are found, these file URIs will be stored in the conversation screen recordings field.", "type": "string" }, "satisfiesPzi": { "description": "Output only. Whether this resource is zone isolated.", "readOnly": true, "type": "boolean" }, "analysisConfig": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SettingsAnalysisConfig", "description": "Default analysis settings." }, "satisfiesPzs": { "readOnly": true, "type": "boolean", "description": "Output only. Whether this resource is zone separated." }, "conversationTtl": { "description": "The default TTL for newly-created conversations. If a conversation has a specified expiration, that value will be used instead. Changing this value will not change the expiration of existing conversations. Conversations with no expire time persist until they are deleted.", "type": "string", "format": "google-duration" } }, "description": "The CCAI Insights project wide settings. Use these settings to configure the behavior of Insights. View these settings with [`getsettings`](https://cloud.google.com/contact-center/insights/docs/reference/rest/v1/projects.locations/getSettings) and change the settings with [`updateSettings`](https://cloud.google.com/contact-center/insights/docs/reference/rest/v1/projects.locations/updateSettings).", "id": "GoogleCloudContactcenterinsightsV1alpha1Settings", "type": "object" }, "GoogleCloudContactcenterinsightsV1ExportInsightsDataMetadata": { "id": "GoogleCloudContactcenterinsightsV1ExportInsightsDataMetadata", "properties": { "partialErrors": { "type": "array", "description": "Partial errors during export operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } }, "endTime": { "format": "google-datetime", "type": "string", "description": "Output only. The time the operation finished running.", "readOnly": true }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequest", "description": "The original request for export." }, "failedExportCount": { "type": "integer", "description": "The number of conversations that failed to be exported.", "format": "int32" }, "completedExportCount": { "type": "integer", "description": "The number of conversations that were exported successfully.", "format": "int32" }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" } }, "type": "object", "description": "Metadata for an export insights operation." }, "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadataSampleConversationsStats": { "type": "object", "properties": { "successfulSampleCount": { "format": "int32", "type": "integer", "readOnly": true, "description": "Output only. The number of new conversations added during this sample operation." }, "failedSampleCount": { "description": "Output only. The number of objects which were unable to be sampled due to errors. The errors are populated in the partial_errors field.", "format": "int32", "type": "integer", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadataSampleConversationsStats", "description": "Statistics for SampleConversations operation." }, "GoogleCloudContactcenterinsightsV1mainIssueModelResult": { "id": "GoogleCloudContactcenterinsightsV1mainIssueModelResult", "description": "Issue Modeling result on a conversation.", "properties": { "issueModel": { "description": "Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}", "type": "string" }, "issues": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainIssueAssignment" }, "description": "All the matched issues." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure", "description": "The measure related to dialogflow interactions.", "properties": { "percentileTtsLatency": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult", "description": "The percentile result for TTS latency in milliseconds per dialogflow interaction level." }, "percentileLlmCallLatency": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult", "description": "The percentile result for LLM latency in milliseconds per dialogflow interaction level." }, "percentileToolUseLatency": { "description": "The percentile result for tool use latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileAudioInAudioOutLatency": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult", "description": "The percentile result for audio in audio out latency in milliseconds per dialogflow interaction level." }, "percentileEndToEndLatency": { "description": "The percentile result for end to end chat latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult" } } }, "GoogleCloudContactcenterinsightsV1IngestConversationsMetadataIngestConversationsStats": { "properties": { "processedObjectCount": { "readOnly": true, "type": "integer", "description": "Output only. The number of objects processed during the ingest operation.", "format": "int32" }, "duplicatesSkippedCount": { "type": "integer", "format": "int32", "readOnly": true, "description": "Output only. The number of objects skipped because another conversation with the same transcript uri had already been ingested." }, "successfulIngestCount": { "format": "int32", "type": "integer", "readOnly": true, "description": "Output only. The number of new conversations added during this ingest operation." }, "failedIngestCount": { "type": "integer", "description": "Output only. The number of objects which were unable to be ingested due to errors. The errors are populated in the partial_errors field.", "format": "int32", "readOnly": true } }, "description": "Statistics for IngestConversations operation.", "id": "GoogleCloudContactcenterinsightsV1IngestConversationsMetadataIngestConversationsStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionIssueDimensionMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1DimensionIssueDimensionMetadata", "description": "Metadata about the issue dimension.", "properties": { "issueModelId": { "description": "The parent issue model ID.", "type": "string" }, "issueId": { "type": "string", "description": "The issue ID." }, "issueDisplayName": { "description": "The issue display name.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1DimensionClientSentimentCategoryDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionClientSentimentCategoryDimensionMetadata", "description": "Metadata about the client sentiment category dimension.", "type": "object", "properties": { "sentimentCategory": { "type": "string", "description": "Optional. The client sentiment category." } } }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPart": { "type": "object", "properties": { "citation": { "description": "Optional. Citation or reference to grounding material.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartCitationPart" }, "thought": { "description": "Optional. Model thought or internal reasoning.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart" }, "text": { "description": "Optional. Plain text content.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTextPart" }, "image": { "description": "Optional. Image media.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartMediaPart" }, "link": { "description": "Optional. Web link or URL.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartLinkPart" }, "video": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartMediaPart", "description": "Optional. Video media." }, "suggestionChips": { "description": "Optional. Suggestion chips or interactive buttons.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart" }, "productCollection": { "description": "Optional. Product collection or carousel.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart" }, "table": { "description": "Optional. Tabular data.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTablePart" }, "customPayload": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart", "description": "Optional. Generic custom structured payload." }, "list": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartListPart", "description": "Optional. Ordered or unordered list." } }, "description": "A structured component/part of a transcript segment.", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPart" }, "GoogleCloudContactcenterinsightsV1DeleteIssueModelRequest": { "type": "object", "description": "The request to delete an issue model.", "properties": { "name": { "type": "string", "description": "Required. The name of the issue model to delete." } }, "id": "GoogleCloudContactcenterinsightsV1DeleteIssueModelRequest" }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponse": { "properties": { "updateTime": { "format": "google-datetime", "type": "string", "description": "The metrics last update time." }, "macroAverageSlice": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSlice", "description": "The macro average slice contains aggregated averages across all selected dimensions. i.e. if group_by agent and scorecard_id is specified, this field will contain the average across all agents and all scorecards. This field is only populated if the request specifies a Dimension." }, "slices": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSlice" }, "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request.", "type": "array" }, "location": { "type": "string", "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"" } }, "type": "object", "description": "The response for querying metrics.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponse" }, "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecRequest": { "properties": { "encryptionSpec": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1EncryptionSpec", "description": "Required. The encryption spec used for CMEK encryption. It is required that the kms key is in the same region as the endpoint. The same key will be used for all provisioned resources, if encryption is available. If the `kms_key_name` field is left empty, no encryption will be enforced." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecRequest", "description": "The request to initialize a location-level encryption specification.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure": { "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure", "properties": { "percentileToolUseLatency": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult", "description": "The percentile result for tool use latency in milliseconds per dialogflow interaction level." }, "percentileEndToEndLatency": { "description": "The percentile result for end to end chat latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult" }, "percentileLlmCallLatency": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult", "description": "The percentile result for LLM latency in milliseconds per dialogflow interaction level." }, "percentileAudioInAudioOutLatency": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult", "description": "The percentile result for audio in audio out latency in milliseconds per dialogflow interaction level." }, "percentileTtsLatency": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult", "description": "The percentile result for TTS latency in milliseconds per dialogflow interaction level." } }, "type": "object", "description": "The measure related to dialogflow interactions." }, "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequestGcsDestination": { "id": "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequestGcsDestination", "description": "Google Cloud Storage Object URI to save the issue model to.", "type": "object", "properties": { "objectUri": { "description": "Required. Format: `gs:///`", "type": "string" } } }, "GoogleCloudCesV1mainToolsetTool": { "description": "A tool that is created from a toolset.", "type": "object", "properties": { "toolset": { "type": "string", "description": "Required. The resource name of the Toolset from which this tool is derived. Format: `projects/{project}/locations/{location}/apps/{app}/toolsets/{toolset}`" }, "toolId": { "description": "Optional. The tool ID to filter the tools to retrieve the schema for.", "type": "string" } }, "id": "GoogleCloudCesV1mainToolsetTool" }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision": { "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision", "properties": { "snapshot": { "description": "The snapshot of the scorecard at the time of this revision's creation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The timestamp that the revision was created." }, "satisfiesPzi": { "type": "boolean", "description": "Output only. Whether this resource is zone isolated.", "readOnly": true }, "alternateIds": { "readOnly": true, "type": "array", "description": "Output only. Alternative IDs for this revision of the scorecard, e.g., `latest`.", "items": { "type": "string" } }, "name": { "type": "string", "description": "Identifier. The name of the scorecard revision. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}" }, "state": { "readOnly": true, "description": "Output only. State of the scorecard revision, indicating whether it's ready to be used in analysis.", "enumDescriptions": [ "Unspecified.", "The scorecard revision can be edited.", "Scorecard model training is in progress.", "Scorecard revision model training failed.", "The revision can be used in analysis.", "Scorecard is being deleted.", "Scorecard model training was explicitly cancelled by the user." ], "enum": [ "STATE_UNSPECIFIED", "EDITABLE", "TRAINING", "TRAINING_FAILED", "READY", "DELETING", "TRAINING_CANCELLED" ], "type": "string" }, "satisfiesPzs": { "type": "boolean", "description": "Output only. Whether this resource is zone separated.", "readOnly": true } }, "type": "object", "description": "A revision of a QaScorecard. Modifying published scorecard fields would invalidate existing scorecard results — the questions may have changed, or the score weighting will make existing scores impossible to understand. So changes must create a new revision, rather than modifying the existing resource." }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartCitationPart": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartCitationPart", "description": "A citation part.", "type": "object", "properties": { "snippet": { "description": "Optional. Snippet of the cited text.", "type": "string" }, "sourceTitle": { "description": "Optional. The cited source title.", "type": "string" }, "sourceUri": { "type": "string", "description": "Optional. The cited source URI." } } }, "GoogleCloudContactcenterinsightsV1SpeechConfig": { "properties": { "speechRecognizer": { "description": "The fully-qualified Speech Recognizer resource name. Format: `projects/{project_id}/locations/{location}/recognizer/{recognizer}`", "type": "string" }, "disableWordTimeOffsets": { "description": "Whether to disable word time offsets. If true, the `enable_word_time_offsets` field in the recognition config will be set to false.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1SpeechConfig", "description": "Speech-to-Text configuration. Speech-to-Text settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SignedAudioUris": { "properties": { "signedDialogflowAudioUri": { "type": "string", "description": "The signed URI for the audio from the Dialogflow conversation source." }, "signedGcsAudioUri": { "description": "The signed URI for the audio from the Cloud Storage conversation source.", "type": "string" }, "signedGcsAudioUris": { "description": "Output only. The signed URIs for the audio from the Cloud Storage conversation source when multiple audio files exist (e.g. multi-leg conversations).", "items": { "type": "string" }, "readOnly": true, "type": "array" }, "signedTurnLevelAudios": { "description": "The signed URI for the audio corresponding to each turn in the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SignedAudioUris", "description": "Signed audio URIs for a conversation.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1Widget": { "properties": { "chart": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart", "description": "A chart widget." }, "chartReference": { "type": "string", "description": "A reference to a chart widget. Format: projects/{project}/locations/{location}/dashboards/{dashboard}/charts/{chart}" }, "filter": { "description": "Filter applied to all charts in the container. Should support scope later.", "type": "string" }, "container": { "description": "A container widget.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Container" } }, "description": "Represents a dashboard element, could be a nested Container or Chart.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1Widget" }, "GoogleCloudContactcenterinsightsV1CreateIssueMetadata": { "description": "Metadata for creating an issue.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1CreateIssueMetadata", "properties": { "endTime": { "type": "string", "description": "Output only. The time the operation finished running.", "readOnly": true, "format": "google-datetime" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1CreateIssueRequest", "description": "The original request for creation." }, "createTime": { "type": "string", "description": "Output only. The time the operation was created.", "readOnly": true, "format": "google-datetime" } } }, "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagRequest": { "id": "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagRequest", "description": "The request for deleting a QaQuestionTag.", "properties": { "name": { "description": "Required. The name of the QaQuestionTag to delete.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartLinkPart": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartLinkPart", "properties": { "text": { "type": "string", "description": "Optional. Anchor or display text." }, "uri": { "description": "Optional. Target URI.", "type": "string" } }, "description": "A link part." }, "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequest": { "description": "The request to export insights.", "properties": { "kmsKey": { "description": "A fully qualified KMS key name for BigQuery tables protected by CMEK. Format: projects/{project}/locations/{location}/keyRings/{keyring}/cryptoKeys/{key}/cryptoKeyVersions/{version}", "type": "string" }, "writeDisposition": { "type": "string", "enumDescriptions": [ "Write disposition is not specified. Defaults to WRITE_TRUNCATE.", "If the table already exists, BigQuery will overwrite the table data and use the schema from the load.", "If the table already exists, BigQuery will append data to the table." ], "enum": [ "WRITE_DISPOSITION_UNSPECIFIED", "WRITE_TRUNCATE", "WRITE_APPEND" ], "description": "Options for what to do if the destination table already exists." }, "bigQueryDestination": { "$ref": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequestBigQueryDestination", "description": "Specified if sink is a BigQuery table." }, "exportSchemaVersion": { "enumDescriptions": [ "Unspecified. Defaults to EXPORT_V3.", "Export schema version 1.", "Export schema version 2.", "Export schema version 3.", "Export schema version 4.", "Export schema version 5.", "Export schema version 6.", "Export schema version 7.", "Export schema version 8.", "Export schema version 9.", "Export schema version 10.", "Export schema version 11.", "Export schema version 12.", "Export schema version 13.", "Export schema version 14.", "Export schema version 15.", "Export schema version 16.", "Export schema version 17.", "Export schema version 18.", "Export schema version 19.", "Export schema version latest available." ], "description": "Optional. Version of the export schema.", "enum": [ "EXPORT_SCHEMA_VERSION_UNSPECIFIED", "EXPORT_V1", "EXPORT_V2", "EXPORT_V3", "EXPORT_V4", "EXPORT_V5", "EXPORT_V6", "EXPORT_V7", "EXPORT_V8", "EXPORT_V9", "EXPORT_V10", "EXPORT_V11", "EXPORT_V12", "EXPORT_V13", "EXPORT_V14", "EXPORT_V15", "EXPORT_V16", "EXPORT_V17", "EXPORT_V18", "EXPORT_V19", "EXPORT_VERSION_LATEST_AVAILABLE" ], "type": "string" }, "filter": { "description": "A filter to reduce results to a specific subset. Useful for exporting conversations with specific properties.", "type": "string" }, "parent": { "type": "string", "description": "Required. The parent resource to export data from." } }, "id": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationTranscript": { "description": "A message representing the transcript of a conversation.", "type": "object", "properties": { "transcriptSegments": { "type": "array", "description": "A list of sequential transcript segments that comprise the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegment" } } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscript" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsMetadata": { "properties": { "partialErrors": { "type": "array", "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during deletion operation that might cause the operation output to be incomplete." }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest", "description": "Output only. The original request for delete.", "readOnly": true } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsMetadata", "description": "Metadata for the BulkDeleteFeedbackLabels endpoint." }, "GoogleCloudContactcenterinsightsV1alpha1Conversation": { "description": "The conversation resource.", "id": "GoogleCloudContactcenterinsightsV1alpha1Conversation", "properties": { "latestAnalysis": { "readOnly": true, "description": "Output only. The conversation's latest analysis, if one exists.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Analysis" }, "satisfiesPzi": { "readOnly": true, "description": "Output only. Whether this resource is zone isolated.", "type": "boolean" }, "medium": { "type": "string", "description": "Immutable. The conversation medium.", "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ] }, "updateTime": { "format": "google-datetime", "type": "string", "readOnly": true, "description": "Output only. The most recent time at which the conversation was updated." }, "callMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationCallMetadata", "description": "Call-specific metadata." }, "turnCount": { "type": "integer", "description": "Output only. The number of turns in the conversation.", "readOnly": true, "format": "int32" }, "startTime": { "format": "google-datetime", "description": "The time at which the conversation started.", "type": "string" }, "obfuscatedUserId": { "description": "Obfuscated user ID which the customer sent to us.", "type": "string" }, "transcript": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscript", "description": "Output only. The conversation transcript.", "readOnly": true }, "duration": { "readOnly": true, "format": "google-duration", "type": "string", "description": "Output only. The duration of the conversation." }, "expireTime": { "description": "The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted.", "format": "google-datetime", "type": "string" }, "runtimeAnnotations": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotation" }, "description": "Output only. The annotations that were generated during the customer and agent interaction.", "type": "array", "readOnly": true }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "type": "boolean", "readOnly": true }, "metadataJson": { "description": "Optional. JSON metadata encoded as a string. This field is primarily used by Insights integrations with various telephony systems and must be in one of Insight's supported formats.", "type": "string" }, "correlationInfo": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationInfo", "readOnly": true, "description": "Output only. Info for correlating across conversations." }, "latestSummary": { "readOnly": true, "description": "Output only. Latest summary of the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationSummarizationSuggestionData" }, "agentId": { "type": "string", "description": "An opaque, user-specified string representing the human agent who handled the conversation." }, "qualityMetadata": { "description": "Conversation metadata related to quality management.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadata" }, "dataSource": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSource", "description": "The source of the audio and transcription for the conversation." }, "languageCode": { "description": "A user-specified language code for the conversation.", "type": "string" }, "createTime": { "format": "google-datetime", "readOnly": true, "description": "Output only. The time at which the conversation was created.", "type": "string" }, "dialogflowIntents": { "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DialogflowIntent" }, "readOnly": true, "description": "Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}" }, "ttl": { "description": "Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.", "format": "google-duration", "type": "string" }, "labels": { "additionalProperties": { "type": "string" }, "description": "A map for the user to specify any custom fields. A maximum of 100 labels per conversation is allowed, with a maximum of 256 characters per entry.", "type": "object" }, "name": { "type": "string", "description": "Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionDimensionMetadata": { "type": "object", "description": "Metadata about the QA question dimension.", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionDimensionMetadata", "properties": { "qaQuestionId": { "description": "Optional. The QA question ID.", "type": "string" }, "questionBody": { "type": "string", "description": "Optional. The full body of the question." }, "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponse": { "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponse", "properties": { "location": { "type": "string", "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"" }, "macroAverageSlice": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSlice", "description": "The macro average slice contains aggregated averages across all selected dimensions. i.e. if group_by agent and scorecard_id is specified, this field will contain the average across all agents and all scorecards. This field is only populated if the request specifies a Dimension." }, "slices": { "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSlice" }, "type": "array" }, "updateTime": { "description": "The metrics last update time.", "format": "google-datetime", "type": "string" } }, "type": "object", "description": "The response for querying metrics." }, "GoogleCloudContactcenterinsightsV1ExportInsightsDataResponse": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1ExportInsightsDataResponse", "type": "object", "description": "Response for an export insights operation." }, "GoogleCloudContactcenterinsightsV1alpha1ConversationSummarizationSuggestionData": { "properties": { "metadata": { "additionalProperties": { "type": "string" }, "description": "A map that contains metadata about the summarization and the document from which it originates.", "type": "object" }, "text": { "description": "The summarization content that is concatenated into one string.", "type": "string" }, "conversationModel": { "description": "The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}", "type": "string" }, "generatorId": { "description": "Agent Assist generator ID.", "type": "string" }, "textSections": { "type": "object", "additionalProperties": { "type": "string" }, "description": "The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value." }, "answerRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "confidence": { "type": "number", "description": "The confidence score of the summarization.", "format": "float" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationSummarizationSuggestionData", "type": "object", "description": "Conversation summarization suggestion data." }, "GoogleCloudContactcenterinsightsV1DimensionQaScorecardDimensionMetadata": { "type": "object", "properties": { "qaScorecardId": { "type": "string", "description": "Optional. The QA scorecard ID." } }, "id": "GoogleCloudContactcenterinsightsV1DimensionQaScorecardDimensionMetadata", "description": "Metadata about the QA scorecard dimension." }, "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorSummarizationConfig": { "description": "Configuration for summarization.", "properties": { "conversationProfile": { "type": "string", "description": "Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}" }, "summarizationModel": { "type": "string", "enum": [ "SUMMARIZATION_MODEL_UNSPECIFIED", "BASELINE_MODEL", "BASELINE_MODEL_V2_0" ], "description": "Default summarization model to be used.", "enumDescriptions": [ "Unspecified summarization model.", "The CCAI baseline model. This model is deprecated and will be removed in the future. We recommend using `generator` instead.", "The CCAI baseline model, V2.0. This model is deprecated and will be removed in the future. We recommend using `generator` instead." ], "enumDeprecated": [ false, true, true ] }, "generator": { "description": "The resource name of the existing created generator. Format: projects//locations//generators/", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorSummarizationConfig" }, "GoogleCloudContactcenterinsightsV1EntityMentionData": { "description": "The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation.", "properties": { "sentiment": { "description": "Sentiment expressed for this mention of the entity.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" }, "type": { "type": "string", "enum": [ "MENTION_TYPE_UNSPECIFIED", "PROPER", "COMMON" ], "description": "The type of the entity mention.", "enumDescriptions": [ "Unspecified.", "Proper noun.", "Common noun (or noun compound)." ] }, "entityUniqueId": { "description": "The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1EntityMentionData", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationCallMetadata": { "properties": { "customerChannel": { "description": "The audio channel that contains the customer.", "type": "integer", "format": "int32" }, "agentChannel": { "type": "integer", "format": "int32", "description": "The audio channel that contains the agent." } }, "id": "GoogleCloudContactcenterinsightsV1ConversationCallMetadata", "description": "Call-specific metadata.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart", "properties": { "products": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartProduct" }, "type": "array", "description": "Optional. List of products." } }, "description": "A product collection part." }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsMetadata": { "properties": { "partialErrors": { "type": "array", "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during deletion operation that might cause the operation output to be incomplete." }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsRequest", "readOnly": true, "description": "Output only. The original request for delete." } }, "type": "object", "description": "Metadata for the BulkDeleteFeedbackLabels endpoint.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsMetadata" }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadata": { "properties": { "stats": { "$ref": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStats", "description": "The statistics for the operation." }, "dataset": { "description": "The dataset used for sampling conversations.", "type": "string" }, "createTime": { "type": "string", "format": "google-datetime", "readOnly": true, "description": "Output only. The time the operation was created." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadata", "description": "Metadata for testing correlation config." }, "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelMetadata": { "description": "Metadata for creating an issue model.", "properties": { "createTime": { "description": "Output only. The time the operation was created.", "format": "google-datetime", "type": "string", "readOnly": true }, "endTime": { "readOnly": true, "format": "google-datetime", "description": "Output only. The time the operation finished running.", "type": "string" }, "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelRequest" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1CorrelationRule": { "type": "object", "properties": { "constraintExpression": { "type": "string", "description": "Optional. A cel expression (go/cel) to be evaluated as a boolean value. Two variables conversation_a and conversation_b will be available for evaluation. This expression should evaluate to true if conversation_a and conversation_b should be joined. This is used as an extra constraint on top of the join_key_expression to further refine the group of conversations that are joined together and will be evaluated in both directions. for two conversations c1 and c2 and the result will be OR'd. We will evaluate: f(c1, c2) OR f(c2, c1)" }, "ruleId": { "type": "string", "description": "Required. The unique identifier of the rule." }, "joinKeyExpression": { "description": "Optional. A cel expression (go/cel) to be evaluated as a string value. This string value will be used as the join key for the correlation.", "type": "string" }, "active": { "description": "Optional. Whether the config is active to be evaluated.", "type": "boolean" } }, "description": "A correlation rule that defines how to join conversations for a given correlation type.", "id": "GoogleCloudContactcenterinsightsV1alpha1CorrelationRule" }, "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagRequest": { "description": "The request for updating a QaQuestionTag.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagRequest", "properties": { "qaQuestionTag": { "description": "Required. The QaQuestionTag to update.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "updateMask": { "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `qa_question_tag_name` - the name of the tag * `qa_question_ids` - the list of questions the tag applies to", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListDashboardsResponse": { "properties": { "nextPageToken": { "type": "string", "description": "The value returned by the last `ListDashboardsResponse`. This value indicates that this is a continuation of a prior `ListDashboards` call and that the system should return the next page of data." }, "dashboards": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dashboard" }, "description": "The dashboards under the parent.", "type": "array" } }, "description": "The response of listing dashboards.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListDashboardsResponse", "type": "object" }, "GoogleLongrunningListOperationsResponse": { "type": "object", "description": "The response message for Operations.ListOperations.", "properties": { "unreachable": { "items": { "type": "string" }, "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", "type": "array" }, "nextPageToken": { "type": "string", "description": "The standard List next-page token." }, "operations": { "description": "A list of operations that matches the specified filter in the request.", "items": { "$ref": "GoogleLongrunningOperation" }, "type": "array" } }, "id": "GoogleLongrunningListOperationsResponse" }, "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest": { "type": "object", "description": "The request to analyze conversations in bulk.", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest", "properties": { "analysisPercentage": { "format": "float", "description": "Required. Percentage of selected conversation to analyze, between [0, 100].", "type": "number" }, "filter": { "type": "string", "description": "Required. Filter used to select the subset of conversations to analyze." }, "relabel": { "description": "Optional. Deprecated: Use `annotator_selector.run_auto_labeling_annotator` instead. If true, the labeling rules will be re-evaluated for the conversations.", "deprecated": true, "type": "boolean" }, "parent": { "type": "string", "description": "Required. The parent resource to create analyses in." }, "annotatorSelector": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector", "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run." } } }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultScoreSource": { "description": "A scorecard result may have multiple sets of scores from varying sources, one of which becomes the \"main\" answer above. A ScoreSource represents each individual set of scores.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultScoreSource", "properties": { "qaTagResults": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultQaTagResult" }, "description": "Collection of tags and their scores." }, "score": { "description": "The overall numerical score of the result.", "format": "double", "type": "number" }, "potentialScore": { "format": "double", "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation.", "type": "number" }, "sourceType": { "enumDescriptions": [ "Source type is unspecified.", "Score is derived only from system-generated answers.", "Score is derived from both system-generated answers, and includes any manual edits if they exist." ], "type": "string", "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED_ONLY", "INCLUDES_MANUAL_EDITS" ], "description": "What created the score." }, "normalizedScore": { "description": "The normalized score, which is the score divided by the potential score.", "type": "number", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1ConversationLevelSilence": { "type": "object", "description": "Conversation-level silence data.", "properties": { "silenceDuration": { "format": "google-duration", "type": "string", "description": "Amount of time calculated to be in silence." }, "silencePercentage": { "format": "float", "description": "Percentage of the total conversation spent in silence.", "type": "number" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationLevelSilence" }, "GoogleCloudContactcenterinsightsV1mainQaAnswer": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainQaAnswer", "properties": { "tags": { "description": "User-defined list of arbitrary tags. Matches the value from QaScorecard.ScorecardQuestion.tags. Used for grouping/organization and for weighting the score of each answer.", "items": { "type": "string" }, "type": "array" }, "answerValue": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue", "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead." }, "qaQuestion": { "description": "The QaQuestion answered by this answer.", "type": "string" }, "conversation": { "description": "The conversation the answer applies to.", "type": "string" }, "answerSources": { "type": "array", "description": "Lists all answer sources containing one or more answer values of a specific source type, e.g., all system-generated answer sources, or all manual edit answer sources.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerSource" } }, "questionBody": { "description": "Question text. E.g., \"Did the agent greet the customer?\"", "type": "string" } }, "description": "An answer to a QaQuestion." }, "GoogleCloudContactcenterinsightsV1DimensionClientSentimentCategoryDimensionMetadata": { "type": "object", "properties": { "sentimentCategory": { "description": "Optional. The client sentiment category.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DimensionClientSentimentCategoryDimensionMetadata", "description": "Metadata about the client sentiment category dimension." }, "GoogleCloudContactcenterinsightsV1mainConversationCallMetadata": { "properties": { "agentChannel": { "type": "integer", "description": "The audio channel that contains the agent.", "format": "int32" }, "customerChannel": { "description": "The audio channel that contains the customer.", "format": "int32", "type": "integer" } }, "description": "Call-specific metadata.", "id": "GoogleCloudContactcenterinsightsV1mainConversationCallMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasure": { "type": "object", "description": "The measure related to conversations.", "properties": { "averageDuration": { "type": "string", "description": "The average duration.", "format": "google-duration" }, "summarizationSuggestionEditRatio": { "type": "number", "format": "double", "description": "Proportion of summarization suggestions that were manually edited." }, "dialogflowInteractionsNoInputRatio": { "type": "number", "description": "Proportion of dialogflow interactions that has empty input.", "format": "double" }, "aiCoachSuggestionMessageTriggerRatio": { "description": "Proportion of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion.", "type": "number", "format": "double" }, "aaSupervisorTransferredToHumanAgentConvCount": { "description": "The number of conversations transferred to a human agent.", "format": "int32", "type": "integer" }, "averageTurnCount": { "format": "float", "description": "The average turn count.", "type": "number" }, "knowledgeSearchAgentQuerySourceRatio": { "type": "number", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries made by the agent compared to the total number of knowledge search queries made.", "format": "double" }, "conversationCount": { "description": "The conversation count.", "type": "integer", "format": "int32" }, "aiCoachSuggestionCustomerMessageTriggerCount": { "type": "integer", "format": "int32", "description": "Count of customer messages that triggered an Ai Coach Suggestion." }, "qaTagScores": { "description": "Average QA normalized score for all the tags.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore" }, "type": "array" }, "aaSupervisorEscalatedConversationsCount": { "description": "The number of conversations that were escalated to an AA human supervisor for intervention.", "format": "int32", "type": "integer" }, "knowledgeSearchResultCount": { "type": "integer", "format": "int32", "description": "Count of knowledge search results (Generative Knowledge Assist) shown to the user." }, "averageSummarizationSuggestionNormalizedEditDistance": { "type": "number", "format": "double", "description": "Normalized Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion. Normalized edit distance is the average of (edit distance / summary length)." }, "knowledgeSearchUriClickRatio": { "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had a URL clicked.", "type": "number" }, "summarizationSuggestionResultCount": { "description": "Count of summarization suggestions results.", "format": "int32", "type": "integer" }, "dialogflowWebhookFailureRatio": { "type": "number", "description": "Proportion of dialogflow webhook calls that failed.", "format": "double" }, "conversationalAgentsAverageEndToEndLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' latency per interaction. This is computed as the average of the all the iteractions' end to end latencies in a conversation and averaged across conversations. The e2e latency is the time between the end of the user utterance and the start of the agent utterance on the interaction level." }, "conversationalAgentsAverageTtsLatency": { "type": "number", "description": "The macro average latency of conversational agents' TTS latency per interaction. This is computed as the average of the all the interactions' TTS latencies in a conversation and averaged across conversations.", "format": "double" }, "aaSupervisorMonitoredConversationsCount": { "description": "The number of conversations scanned by the AA human supervisor.", "type": "integer", "format": "int32" }, "averageSummarizationSuggestionEditDistance": { "type": "number", "description": "Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion.", "format": "double" }, "knowledgeAssistUriClickRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had a URL clicked.", "type": "number", "format": "double" }, "containedConversationRatio": { "type": "number", "format": "double", "description": "The percentage of conversations that were contained." }, "knowledgeAssistResultCount": { "type": "integer", "format": "int32", "description": "Count of knowledge assist results (Proactive Generative Knowledge Assist) shown to the user." }, "conversationAiCoachSuggestionRatio": { "format": "double", "description": "Proportion of conversations that has Ai Coach Suggestions.", "type": "number" }, "averageCustomerSatisfactionRating": { "description": "The average customer satisfaction rating.", "format": "double", "type": "number" }, "conversationalAgentsAverageLlmCallLatency": { "description": "The average latency of conversational agents' LLM call latency per interaction. This is computed as the average of the all the interactions LLM call latencies in a conversation and averaged across conversations.", "format": "double", "type": "number" }, "aiCoachSuggestionMessageTriggerCount": { "description": "Count of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion.", "type": "integer", "format": "int32" }, "aiCoachSuggestionCustomerMessageTriggerRatio": { "format": "double", "description": "Proportion of customer messages that triggered an Ai Coach Suggestion.", "type": "number" }, "conversationSuggestedSummaryRatio": { "description": "Proportion of conversations that had a suggested summary.", "format": "double", "type": "number" }, "dialogflowConversationsEscalationCount": { "format": "double", "description": "count of conversations that was handed off from virtual agent to human agent.", "type": "number" }, "aiCoachSuggestionAgentUsageRatio": { "description": "Proportion of Ai Coach Suggestion that has been used by agents.", "type": "number", "format": "double" }, "avgConversationClientTurnSentimentEma": { "type": "number", "description": "The exponential moving average of the sentiment score of client turns in the conversation.", "format": "double" }, "averageQaQuestionNormalizedScore": { "description": "Average QA normalized score averaged for questions averaged across all revisions of the parent scorecard. Will be only populated if the request specifies a dimension of QA_QUESTION_ID.", "format": "double", "type": "number" }, "aaSupervisorAssignedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were assigned to an AA human supervisor." }, "dialogflowConversationsEscalationRatio": { "type": "number", "format": "double", "description": "Proportion of conversations that was handed off from virtual agent to human agent." }, "aiCoachSuggestionAgentMessageTriggerCount": { "description": "Count of agent messages that triggered an Ai Coach Suggestion.", "format": "int32", "type": "integer" }, "conversationalAgentsAverageAudioInAudioOutLatency": { "format": "double", "description": "The average latency of conversational agents' audio in audio out latency per interaction. This is computed as the average of the all the interactions' audio in audio out latencies in a conversation and averaged across conversations.", "type": "number" }, "knowledgeAssistPositiveFeedbackRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had positive feedback." }, "dialogflowAverageWebhookLatency": { "description": "Average latency of dialogflow webhook calls.", "type": "number", "format": "double" }, "knowledgeSearchNegativeFeedbackRatio": { "type": "number", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had negative feedback.", "format": "double" }, "containedConversationCount": { "description": "The number of conversations that were contained.", "type": "integer", "format": "int32" }, "conversationAiCoachSuggestionCount": { "description": "Count of conversations that has Ai Coach Suggestions.", "format": "int32", "type": "integer" }, "aaSupervisorDroppedConversationsCount": { "format": "int32", "description": "The number of conversations that were dropped, i.e. escalated but not assigned to an AA human supervisor.", "type": "integer" }, "dialogflowWebhookTimeoutRatio": { "description": "Proportion of dialogflow webhook calls that timed out.", "type": "number", "format": "double" }, "conversationTotalCustomerMessageCount": { "type": "integer", "description": "The customer message count.", "format": "int32" }, "conversationTotalAgentMessageCount": { "type": "integer", "description": "The agent message count.", "format": "int32" }, "averageAgentSentimentScore": { "description": "The average agent's sentiment score.", "format": "float", "type": "number" }, "knowledgeSearchSuggestedQuerySourceRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries suggested compared to the total number of knowledge search queries made.", "format": "double", "type": "number" }, "averageQaNormalizedScore": { "description": "The average normalized QA score for a scorecard. When computing the average across a set of conversations, if a conversation has been evaluated with multiple revisions of a scorecard, only the latest revision results will be used. Will exclude 0's in average calculation. Will be only populated if the request specifies a dimension of QA_SCORECARD_ID.", "format": "double", "type": "number" }, "dialogflowInteractionsNoMatchRatio": { "type": "number", "description": "Proportion of dialogflow interactions that has no intent match for the input.", "format": "double" }, "averageClientSentimentScore": { "type": "number", "description": "The average client's sentiment score.", "format": "float" }, "aiCoachSuggestionAgentUsageCount": { "format": "int32", "type": "integer", "description": "Count of Ai Coach Suggestion that has been used by agents." }, "knowledgeAssistNegativeFeedbackRatio": { "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had negative feedback.", "type": "number", "format": "double" }, "averageSilencePercentage": { "format": "float", "type": "number", "description": "The average silence percentage." }, "knowledgeSearchPositiveFeedbackRatio": { "format": "double", "type": "number", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had positive feedback." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasure" }, "GoogleCloudContactcenterinsightsV1mainCallAnnotation": { "type": "object", "properties": { "entityMentionData": { "description": "Data specifying an entity mention.", "$ref": "GoogleCloudContactcenterinsightsV1mainEntityMentionData" }, "issueMatchData": { "$ref": "GoogleCloudContactcenterinsightsV1mainIssueMatchData", "description": "Data specifying an issue match." }, "intentMatchData": { "description": "Data specifying an intent match.", "$ref": "GoogleCloudContactcenterinsightsV1mainIntentMatchData" }, "holdData": { "description": "Data specifying a hold.", "$ref": "GoogleCloudContactcenterinsightsV1mainHoldData" }, "silenceData": { "description": "Data specifying silence.", "$ref": "GoogleCloudContactcenterinsightsV1mainSilenceData" }, "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData" }, "annotationStartBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary", "description": "The boundary in the conversation where the annotation starts, inclusive." }, "phraseMatchData": { "description": "Data specifying a phrase match.", "$ref": "GoogleCloudContactcenterinsightsV1mainPhraseMatchData" }, "interruptionData": { "description": "Data specifying an interruption.", "$ref": "GoogleCloudContactcenterinsightsV1mainInterruptionData" }, "annotationEndBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary", "description": "The boundary in the conversation where the annotation ends, inclusive." }, "channelTag": { "format": "int32", "description": "The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.", "type": "integer" } }, "description": "A piece of metadata that applies to a window of a call.", "id": "GoogleCloudContactcenterinsightsV1mainCallAnnotation" }, "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary": { "properties": { "wordIndex": { "format": "int32", "description": "The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.", "type": "integer" }, "transcriptIndex": { "description": "The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.", "format": "int32", "type": "integer" } }, "description": "A point in a conversation that marks the start or the end of an annotation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary" }, "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequest": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequest", "description": "Request to export an issue model.", "properties": { "name": { "type": "string", "description": "Required. The issue model to export." }, "gcsDestination": { "$ref": "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequestGcsDestination", "description": "Google Cloud Storage URI to export the issue model to." } } }, "GoogleCloudContactcenterinsightsV1mainListAllFeedbackLabelsResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainListAllFeedbackLabelsResponse", "properties": { "feedbackLabels": { "description": "The feedback labels that match the request.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainFeedbackLabel" } }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } }, "description": "The response for listing all feedback labels." }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStats": { "type": "object", "description": "Statistics for TestCorrelationConfig operation.", "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStats", "properties": { "failedConversationsCount": { "type": "integer", "description": "The number of conversations that failed correlation.", "format": "int32" }, "sampledConversationsCount": { "type": "integer", "description": "The number of conversations sampled.", "format": "int32" }, "partialErrors": { "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "type": "array", "items": { "$ref": "GoogleRpcStatus" } }, "conversationCorrelationErrors": { "type": "array", "description": "A list of errors that occurred during correlation, one for each conversation that failed.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError" } }, "correlatedConversationsCount": { "description": "The number of conversations correlated.", "type": "integer", "format": "int32" } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessage": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessage", "description": "A message from the system in response to the user. This message can also be a message from the user as historical context for multiturn conversations with the system.", "properties": { "textMessage": { "description": "A direct natural language response to the user message.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput" }, "generatedSqlQuery": { "description": "Raw SQL from LLM, before templatization", "type": "string" }, "userProvidedSqlQuery": { "type": "string", "description": "Optional. User provided SQL query" }, "userProvidedChartSpec": { "type": "object", "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "description": "Optional. User provided chart spec" }, "chartSpec": { "description": "Chart spec from LLM", "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object" } } }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponseDetailedCorrelationResults": { "properties": { "joinKeyResults": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResult" }, "type": "array", "description": "A list of join key correlation results for each conversation tested." }, "constraintResults": { "description": "A list of constraint evaluation results for each pair of conversations.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResult" } } }, "type": "object", "description": "Wrapper for detailed, step-by-step results.", "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponseDetailedCorrelationResults" }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult": { "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointPercentileResult", "type": "object", "description": "The percentile result. Currently supported percentiles are 50th, 90th, and 99th.", "properties": { "p90": { "format": "double", "type": "number", "description": "The 90th percentile value." }, "p50": { "type": "number", "description": "The 50th percentile value.", "format": "double" }, "p99": { "description": "The 99th percentile value.", "format": "double", "type": "number" } } }, "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsResponse": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsResponse", "type": "object", "description": "The response to an SampleConversations operation." }, "GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionData": { "id": "GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionData", "description": "Conversation summarization suggestion data.", "properties": { "text": { "description": "The summarization content that is concatenated into one string.", "type": "string" }, "generatorId": { "description": "Agent Assist generator ID.", "type": "string" }, "textSections": { "additionalProperties": { "type": "string" }, "description": "The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.", "type": "object" }, "answerRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "conversationModel": { "description": "The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}", "type": "string" }, "metadata": { "description": "A map that contains metadata about the summarization and the document from which it originates.", "additionalProperties": { "type": "string" }, "type": "object" }, "confidence": { "description": "The confidence score of the summarization.", "format": "float", "type": "number" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsResponse": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsResponse", "description": "Response for the BulkDeleteFeedbackLabels endpoint.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse": { "type": "object", "properties": { "conversations": { "type": "array", "description": "The conversations that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" } }, "nextPageToken": { "description": "A token which can be sent as `page_token` to retrieve the next page. If this field is set, it means there is another page available. If it is not set, it means no other pages are available.", "type": "string" } }, "description": "The response of listing conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListConversationsResponse" }, "GoogleCloudContactcenterinsightsV1mainIssueModel": { "type": "object", "properties": { "modelType": { "enumDescriptions": [ "Unspecified model type.", "Type V1.", "Type V2." ], "description": "Type of the model.", "type": "string", "enum": [ "MODEL_TYPE_UNSPECIFIED", "TYPE_V1", "TYPE_V2" ] }, "displayName": { "type": "string", "description": "The representative name for the issue model." }, "name": { "description": "Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}", "type": "string" }, "updateTime": { "format": "google-datetime", "readOnly": true, "description": "Output only. The most recent time at which the issue model was updated.", "type": "string" }, "state": { "type": "string", "readOnly": true, "enum": [ "STATE_UNSPECIFIED", "UNDEPLOYED", "DEPLOYING", "DEPLOYED", "UNDEPLOYING", "DELETING" ], "description": "Output only. State of the model.", "enumDescriptions": [ "Unspecified.", "Model is not deployed but is ready to deploy.", "Model is being deployed.", "Model is deployed and is ready to be used. A model can only be used in analysis if it's in this state.", "Model is being undeployed.", "Model is being deleted." ] }, "trainingStats": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStats", "description": "Output only. Immutable. The issue model's label statistics on its training data." }, "inputDataConfig": { "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModelInputDataConfig", "description": "Configs for the input data that used to create the issue model." }, "createTime": { "format": "google-datetime", "type": "string", "description": "Output only. The time at which this issue model was created.", "readOnly": true }, "languageCode": { "description": "Language of the model.", "type": "string" }, "issueCount": { "readOnly": true, "description": "Output only. Number of issues in this issue model.", "type": "string", "format": "int64" } }, "description": "The issue model resource.", "id": "GoogleCloudContactcenterinsightsV1mainIssueModel" }, "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsMetadata", "description": "The metadata for a bulk analyze conversations operation.", "properties": { "partialErrors": { "description": "Output only. Partial errors during bulk analyze operation that might cause the operation output to be incomplete.", "readOnly": true, "type": "array", "items": { "$ref": "GoogleRpcStatus" } }, "relabel": { "readOnly": true, "deprecated": true, "type": "boolean", "description": "Output only. Deprecated: Use `request.annotator_selector.run_auto_labeling_annotator` instead. If true, the labeling rules will be re-evaluated for the conversations." }, "failedAnalysesCount": { "description": "The number of requested analyses that have failed so far.", "type": "integer", "format": "int32" }, "createTime": { "format": "google-datetime", "description": "The time the operation was created.", "type": "string" }, "totalRequestedAnalysesCount": { "description": "Total number of analyses requested. Computed by the number of conversations returned by `filter` multiplied by `analysis_percentage` in the request.", "type": "integer", "format": "int32" }, "endTime": { "type": "string", "description": "The time the operation finished running.", "format": "google-datetime" }, "request": { "description": "The original request for bulk analyze.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsRequest" }, "completedAnalysesCount": { "type": "integer", "description": "The number of requested analyses that have completed successfully so far.", "format": "int32" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestGcsSource": { "description": "Google Cloud Storage Object details to get the feedback label file from.", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestGcsSource", "properties": { "format": { "enum": [ "FORMAT_UNSPECIFIED", "CSV", "JSON" ], "type": "string", "description": "Required. File format which will be ingested.", "enumDescriptions": [ "Unspecified format.", "CSV format.", "JSON format." ] }, "objectUri": { "description": "Required. The Google Cloud Storage URI of the file to import. Format: `gs://bucket_name/object_name`", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationLevelSentiment": { "id": "GoogleCloudContactcenterinsightsV1mainConversationLevelSentiment", "type": "object", "properties": { "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData" }, "channelTag": { "format": "int32", "description": "The channel of the audio that the data applies to.", "type": "integer" } }, "description": "One channel of conversation-level sentiment data." }, "GoogleCloudContactcenterinsightsV1mainInterruptionData": { "type": "object", "description": "The data for an interruption annotation.", "id": "GoogleCloudContactcenterinsightsV1mainInterruptionData", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsRequest": { "properties": { "filter": { "description": "A filter to reduce results to a specific subset. This field is useful for getting statistics about conversations with specific properties.", "type": "string" } }, "type": "object", "description": "The request for calculating conversation statistics.", "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsRequest" }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessage": { "properties": { "textMessage": { "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessageTextOutput", "description": "A direct natural language response to the user message." }, "userProvidedSqlQuery": { "type": "string", "description": "Optional. User provided SQL query" }, "userProvidedChartSpec": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object", "description": "Optional. User provided chart spec" }, "generatedSqlQuery": { "description": "Raw SQL from LLM, before templatization", "type": "string" }, "chartSpec": { "description": "Chart spec from LLM", "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object" } }, "description": "A message from the system in response to the user. This message can also be a message from the user as historical context for multiturn conversations with the system.", "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessage", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDimensionLabelDimensionMetadata": { "properties": { "labelKey": { "type": "string", "description": "Optional. The label key." }, "labelValue": { "type": "string", "description": "Optional. The label value." } }, "type": "object", "description": "Metadata about conversation labels.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionLabelDimensionMetadata" }, "GoogleIamV1TestIamPermissionsResponse": { "description": "Response message for `TestIamPermissions` method.", "properties": { "permissions": { "description": "A subset of `TestPermissionsRequest.permissions` that the caller is allowed.", "type": "array", "items": { "type": "string" } } }, "id": "GoogleIamV1TestIamPermissionsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfigScorecardList": { "properties": { "qaScorecardRevisions": { "type": "array", "description": "List of QaScorecardRevisions.", "items": { "type": "string" } } }, "description": "Container for a list of scorecards.", "id": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfigScorecardList", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainFaqAnswerData": { "id": "GoogleCloudContactcenterinsightsV1mainFaqAnswerData", "type": "object", "description": "Agent Assist frequently-asked-question answer data.", "properties": { "question": { "description": "The corresponding FAQ question.", "type": "string" }, "confidenceScore": { "format": "float", "description": "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).", "type": "number" }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.", "type": "string" }, "metadata": { "description": "Map that contains metadata about the FAQ answer and the document that it originates from.", "type": "object", "additionalProperties": { "type": "string" } }, "answer": { "description": "The piece of text from the `source` knowledge base document.", "type": "string" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequest": { "id": "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequest", "type": "object", "description": "The request to export insights.", "properties": { "parent": { "description": "Required. The parent resource to export data from.", "type": "string" }, "filter": { "type": "string", "description": "A filter to reduce results to a specific subset. Useful for exporting conversations with specific properties." }, "bigQueryDestination": { "$ref": "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequestBigQueryDestination", "description": "Specified if sink is a BigQuery table." }, "writeDisposition": { "enum": [ "WRITE_DISPOSITION_UNSPECIFIED", "WRITE_TRUNCATE", "WRITE_APPEND" ], "type": "string", "enumDescriptions": [ "Write disposition is not specified. Defaults to WRITE_TRUNCATE.", "If the table already exists, BigQuery will overwrite the table data and use the schema from the load.", "If the table already exists, BigQuery will append data to the table." ], "description": "Options for what to do if the destination table already exists." }, "kmsKey": { "type": "string", "description": "A fully qualified KMS key name for BigQuery tables protected by CMEK. Format: projects/{project}/locations/{location}/keyRings/{keyring}/cryptoKeys/{key}/cryptoKeyVersions/{version}" }, "exportSchemaVersion": { "description": "Optional. Version of the export schema.", "enumDescriptions": [ "Unspecified. Defaults to EXPORT_V3.", "Export schema version 1.", "Export schema version 2.", "Export schema version 3.", "Export schema version 4.", "Export schema version 5.", "Export schema version 6.", "Export schema version 7.", "Export schema version 8.", "Export schema version 9.", "Export schema version 10.", "Export schema version 11.", "Export schema version 12.", "Export schema version 13.", "Export schema version 14.", "Export schema version 15.", "Export schema version 16.", "Export schema version 17.", "Export schema version 18.", "Export schema version 19.", "Export schema version latest available." ], "type": "string", "enum": [ "EXPORT_SCHEMA_VERSION_UNSPECIFIED", "EXPORT_V1", "EXPORT_V2", "EXPORT_V3", "EXPORT_V4", "EXPORT_V5", "EXPORT_V6", "EXPORT_V7", "EXPORT_V8", "EXPORT_V9", "EXPORT_V10", "EXPORT_V11", "EXPORT_V12", "EXPORT_V13", "EXPORT_V14", "EXPORT_V15", "EXPORT_V16", "EXPORT_V17", "EXPORT_V18", "EXPORT_V19", "EXPORT_VERSION_LATEST_AVAILABLE" ] } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartMediaPart": { "type": "object", "description": "A media part.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartMediaPart", "properties": { "alternativeText": { "description": "Optional. Alternative text description.", "type": "string" }, "uri": { "type": "string", "description": "Optional. URI or URL to the media." } } }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart": { "description": "A thought part.", "properties": { "text": { "description": "Optional. The thought or reasoning text.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart", "type": "object" }, "GoogleCloudContactcenterinsightsV1FaqAnswerData": { "description": "Agent Assist frequently-asked-question answer data.", "properties": { "metadata": { "description": "Map that contains metadata about the FAQ answer and the document that it originates from.", "additionalProperties": { "type": "string" }, "type": "object" }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}.", "type": "string" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "confidenceScore": { "format": "float", "description": "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).", "type": "number" }, "answer": { "type": "string", "description": "The piece of text from the `source` knowledge base document." }, "question": { "type": "string", "description": "The corresponding FAQ question." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1FaqAnswerData" }, "GoogleCloudContactcenterinsightsV1mainPhraseMatchData": { "type": "object", "properties": { "phraseMatcher": { "type": "string", "description": "The unique identifier (the resource name) of the phrase matcher." }, "displayName": { "type": "string", "description": "The human-readable name of the phrase matcher." } }, "description": "The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match.", "id": "GoogleCloudContactcenterinsightsV1mainPhraseMatchData" }, "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorSummarizationConfig": { "id": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorSummarizationConfig", "description": "Configuration for summarization.", "type": "object", "properties": { "summarizationModel": { "enumDescriptions": [ "Unspecified summarization model.", "The CCAI baseline model. This model is deprecated and will be removed in the future. We recommend using `generator` instead.", "The CCAI baseline model, V2.0. This model is deprecated and will be removed in the future. We recommend using `generator` instead." ], "enum": [ "SUMMARIZATION_MODEL_UNSPECIFIED", "BASELINE_MODEL", "BASELINE_MODEL_V2_0" ], "description": "Default summarization model to be used.", "enumDeprecated": [ false, true, true ], "type": "string" }, "generator": { "description": "The resource name of the existing created generator. Format: projects//locations//generators/", "type": "string" }, "conversationProfile": { "description": "Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart": { "properties": { "chips": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartChip" }, "description": "Optional. List of suggestion chips.", "type": "array" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart", "description": "A suggestion chips part." }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartCitationPart": { "type": "object", "properties": { "sourceTitle": { "type": "string", "description": "Optional. The cited source title." }, "sourceUri": { "description": "Optional. The cited source URI.", "type": "string" }, "snippet": { "description": "Optional. Snippet of the cited text.", "type": "string" } }, "description": "A citation part.", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartCitationPart" }, "GoogleCloudContactcenterinsightsV1alpha1EntityMentionData": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1EntityMentionData", "description": "The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation.", "properties": { "entityUniqueId": { "description": "The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to.", "type": "string" }, "sentiment": { "description": "Sentiment expressed for this mention of the entity.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData" }, "type": { "enum": [ "MENTION_TYPE_UNSPECIFIED", "PROPER", "COMMON" ], "type": "string", "enumDescriptions": [ "Unspecified.", "Proper noun.", "Common noun (or noun compound)." ], "description": "The type of the entity mention." } } }, "GoogleCloudContactcenterinsightsV1Analysis": { "id": "GoogleCloudContactcenterinsightsV1Analysis", "type": "object", "description": "The analysis resource.", "properties": { "annotatorSelector": { "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelector", "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run." }, "requestTime": { "description": "Output only. The time at which the analysis was requested.", "format": "google-datetime", "type": "string", "readOnly": true }, "satisfiesPzi": { "type": "boolean", "description": "Output only. Whether this resource is zone isolated.", "readOnly": true }, "createTime": { "description": "Output only. The time at which the analysis was created, which occurs when the long-running operation completes.", "readOnly": true, "type": "string", "format": "google-datetime" }, "name": { "description": "Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}", "type": "string" }, "analysisResult": { "$ref": "GoogleCloudContactcenterinsightsV1AnalysisResult", "description": "Output only. The result of the analysis, which is populated when the analysis finishes.", "readOnly": true }, "satisfiesPzs": { "type": "boolean", "description": "Output only. Whether this resource is zone separated.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1IngestConversationsRequest": { "id": "GoogleCloudContactcenterinsightsV1IngestConversationsRequest", "type": "object", "properties": { "gcsSource": { "description": "A cloud storage bucket source. Note that any previously ingested objects from the source will be skipped to avoid duplication.", "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestGcsSource" }, "speechConfig": { "$ref": "GoogleCloudContactcenterinsightsV1SpeechConfig", "description": "Optional. Default Speech-to-Text configuration. Optional, will default to the config specified in Settings." }, "conversationConfig": { "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestConversationConfig", "description": "Configuration that applies to all conversations." }, "parent": { "description": "Required. The parent resource for new conversations.", "type": "string" }, "sampleSize": { "type": "integer", "description": "Optional. If set, this fields indicates the number of objects to ingest from the Cloud Storage bucket. If empty, the entire bucket will be ingested. Unless they are first deleted, conversations produced through sampling won't be ingested by subsequent ingest requests.", "format": "int32" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1RedactionConfig" }, "transcriptObjectConfig": { "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestTranscriptObjectConfig", "description": "Configuration for when `source` contains conversation transcripts." } }, "description": "The request to ingest conversations." }, "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeriesInterval": { "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeriesInterval", "description": "A single interval in a time series.", "type": "object", "properties": { "startTime": { "description": "The start time of this interval.", "type": "string", "format": "google-datetime" }, "conversationCount": { "description": "The number of conversations created in this interval.", "type": "integer", "format": "int32" } } }, "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleResponse": { "description": "The response message for testing auto labeling rules.", "properties": { "labelResult": { "description": "The result of the test auto labeling rule.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore": { "description": "Average QA normalized score for the tag.", "properties": { "tag": { "type": "string", "description": "Tag name." }, "averageTagNormalizedScore": { "format": "double", "type": "number", "description": "Average tag normalized score per tag." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore" }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponse": { "type": "object", "properties": { "detailedResults": { "description": "Results for the DETAILED_SYNC execution mode.", "$ref": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponseDetailedCorrelationResults" }, "partialErrors": { "type": "array", "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete." } }, "description": "The response of testing correlation config.", "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigResponse" }, "GoogleCloudContactcenterinsightsV1alpha1QueryInterval": { "properties": { "endTime": { "description": "Required. The end time of the time window.", "type": "string", "format": "google-datetime" }, "startTime": { "type": "string", "description": "Required. The start time of the time window.", "format": "google-datetime" } }, "description": "A time window for querying conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryInterval", "type": "object" }, "GoogleCloudContactcenterinsightsV1CesTurnAnnotation": { "id": "GoogleCloudContactcenterinsightsV1CesTurnAnnotation", "type": "object", "properties": { "rootSpan": { "description": "The root span of the action processing.", "$ref": "GoogleCloudCesV1mainSpan" }, "messages": { "type": "array", "description": "The messages in the turn.", "items": { "$ref": "GoogleCloudCesV1mainMessage" } } }, "description": "The CES diagnostic information." }, "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardRevisionsResponse": { "type": "object", "properties": { "qaScorecardRevisions": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardRevision" }, "description": "The QaScorecards under the parent." }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardRevisionsResponse", "description": "The response from a ListQaScorecardRevisions request." }, "GoogleCloudContactcenterinsightsV1alpha1ListPhraseMatchersResponse": { "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "phraseMatchers": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher" }, "description": "The phrase matchers that match the request.", "type": "array" } }, "type": "object", "description": "The response of listing phrase matchers.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListPhraseMatchersResponse" }, "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelMetadata", "type": "object", "description": "Metadata for deleting an issue model.", "properties": { "endTime": { "type": "string", "format": "google-datetime", "readOnly": true, "description": "Output only. The time the operation finished running." }, "request": { "description": "The original request for deletion.", "$ref": "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelRequest" }, "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The time the operation was created." } } }, "GoogleCloudContactcenterinsightsV1alpha1AnswerFeedback": { "type": "object", "description": "The feedback that the customer has about a certain answer in the conversation.", "properties": { "displayed": { "type": "boolean", "description": "Indicates whether an answer or item was displayed to the human agent in the agent desktop UI." }, "clicked": { "description": "Indicates whether an answer or item was clicked by the human agent.", "type": "boolean" }, "correctnessLevel": { "enumDescriptions": [ "Correctness level unspecified.", "Answer is totally wrong.", "Answer is partially correct.", "Answer is fully correct." ], "description": "The correctness level of an answer.", "type": "string", "enum": [ "CORRECTNESS_LEVEL_UNSPECIFIED", "NOT_CORRECT", "PARTIALLY_CORRECT", "FULLY_CORRECT" ] } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AnswerFeedback" }, "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadata", "properties": { "feedbackLabels": { "type": "array", "description": "Input only. The feedback labels associated with the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainFeedbackLabel" } }, "agentInfo": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadataAgentInfo" }, "description": "Information about agents involved in the call." }, "waitDuration": { "format": "google-duration", "type": "string", "description": "The amount of time the customer waited to connect with an agent." }, "customerSatisfactionRating": { "format": "int32", "type": "integer", "description": "An arbitrary integer value indicating the customer's satisfaction rating." }, "menuPath": { "description": "An arbitrary string value specifying the menu path the customer took.", "type": "string" } }, "type": "object", "description": "Conversation metadata related to quality management." }, "GoogleCloudContactcenterinsightsV1mainDialogflowInteractionData": { "properties": { "dialogflowIntentId": { "type": "string", "description": "The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}" }, "confidence": { "format": "float", "type": "number", "description": "The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain)." } }, "type": "object", "description": "Dialogflow interaction data.", "id": "GoogleCloudContactcenterinsightsV1mainDialogflowInteractionData" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponse": { "type": "object", "description": "Wrapper for storing the generative response for a chart.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponse", "properties": { "generatedSqlQuery": { "type": "string", "description": "The generated SQL query from the LLM. Will be populated during the chart building phase. The generated SQL will be cached in the corresponding chart resource." }, "chartSpec": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "The chart spec for the data. This will be specified in the vega-lite or vega format." }, "textOutput": { "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response.", "type": "string", "deprecated": true }, "textMessage": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponseTextOutput", "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response." } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSentiment": { "description": "One channel of conversation-level sentiment data.", "properties": { "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData" }, "channelTag": { "format": "int32", "description": "The channel of the audio that the data applies to.", "type": "integer" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSentiment", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewsResponse", "type": "object", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "authorizedViews": { "type": "array", "description": "The AuthorizedViews under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" } } }, "description": "The response from a ListAuthorizedViews request." }, "GoogleCloudContactcenterinsightsV1alpha1ChartAction": { "description": "The action to be taken when the chart is clicked.", "id": "GoogleCloudContactcenterinsightsV1alpha1ChartAction", "properties": { "conversationFilter": { "type": "string", "description": "The conversation filter string." }, "redirectAction": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedirectAction", "description": "Redirect action." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewSetsResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ListAuthorizedViewSetsResponse", "properties": { "authorizedViewSets": { "description": "The AuthorizedViewSets under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet" }, "type": "array" }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } }, "description": "The response from a ListAuthorizedViewSet request." }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError": { "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError", "type": "object", "properties": { "conversation": { "description": "The conversation resource name that had an error during correlation.", "type": "string" }, "status": { "description": "The error status.", "$ref": "GoogleRpcStatus" } }, "description": "An error that occurred during correlation for a specific conversation." }, "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequestGcsSource": { "properties": { "objectUri": { "description": "Required. Format: `gs:///`", "type": "string" } }, "description": "Google Cloud Storage Object URI to get the issue model file from.", "id": "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequestGcsSource", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsRequest": { "properties": { "sessionId": { "description": "Optional. The session id of the conversation. If the session id is not specified, backend will generate a random session id. If the session id is specified, will associate user-provided user_query with the provided session id.", "type": "string" }, "timeZone": { "type": "string", "description": "Optional. The time zone name from the [IANA Time Zone Database](https://www.iana.org/time-zones) (for example, `\"America/Los_Angeles\"`) used to group daily time-series results. If empty, or if the name is well-formed but not known to the server, `UTC` is used. Malformed values are rejected with `INVALID_ARGUMENT`." }, "sqlQuery": { "description": "Optional. The SQL query specified by the user. This query must be in BigQuery SQL dialect. The `filter` field will also be ignored, as it is assumed that any filtering is already included in the SQL query.", "type": "string" }, "userProvidedChartSpec": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "Optional. The user provided chart spec for the chart. This will be used to override the visual spec generated by the LLM.", "type": "object" }, "revisionId": { "description": "Optional. The revision id that maps to the state of the chart state revision. When specified, the backend will reload the chart with the sql and visual spec from that revision.", "type": "string" }, "naturalLanguageQuery": { "description": "The natural language query specified by the user. If this field is specified, `sql_query` will be ignored.", "type": "string" }, "sqlComparisonKey": { "description": "Optional. For charts with comparison, this key will determine the metric that will be compared between the current and another dataset.", "type": "string" }, "comparisonFilter": { "type": "string", "description": "Optional. Filter for the data that can be specified in addition to the natural language query. This `filter` is specifically used for charts where comparisons are possible. For example, \"compare to last month\" or \"compare to previous quarter\"." }, "chart": { "type": "string", "description": "The full name of the chart resource this request corresponds to. Format: projects/{project}/locations/{location}/dashboards/{dashboard}/charts/{chart}" }, "filter": { "type": "string", "description": "Filter for the data that can be specified in addition to the natural language query. Users are encouraged to use this field to populate time-windows." } }, "description": "The request for generative insights.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsRequest" }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestTranscriptObjectConfig": { "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestTranscriptObjectConfig", "description": "Configuration for processing transcript objects.", "properties": { "medium": { "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "description": "Required. The medium transcript objects represent.", "type": "string", "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ] } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentWordInfo": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentWordInfo", "type": "object", "properties": { "confidence": { "format": "float", "description": "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.", "type": "number" }, "endOffset": { "format": "google-duration", "description": "Time offset of the end of this word relative to the beginning of the total conversation.", "type": "string" }, "startOffset": { "description": "Time offset of the start of this word relative to the beginning of the total conversation.", "type": "string", "format": "google-duration" }, "word": { "description": "The word itself. Includes punctuation marks that surround the word.", "type": "string" } }, "description": "Word-level info for words in a transcript." }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsResponse": { "description": "Response for the BulkDownloadFeedbackLabel endpoint.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsResponse", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1View": { "description": "The View resource.", "type": "object", "properties": { "createTime": { "description": "Output only. The time at which this view was created.", "format": "google-datetime", "type": "string", "readOnly": true }, "displayName": { "description": "The human-readable display name of the view.", "type": "string" }, "updateTime": { "description": "Output only. The most recent time at which the view was updated.", "type": "string", "readOnly": true, "format": "google-datetime" }, "value": { "description": "A filter to reduce conversation results to a specific subset. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details.", "type": "string" }, "name": { "description": "Immutable. The resource name of the view. Format: projects/{project}/locations/{location}/views/{view}", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1View" }, "GoogleCloudContactcenterinsightsV1alpha1Container": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1Container", "properties": { "width": { "description": "The width of the container in grid units.", "type": "integer", "format": "int32" }, "height": { "format": "int32", "type": "integer", "description": "The height of the container in grid units." }, "description": { "description": "Container description", "type": "string" }, "dateRangeConfig": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig", "description": "Date range config applied to all charts in the container." }, "filter": { "description": "Filter applied to all charts in the container. Should support scope later.", "type": "string" }, "displayName": { "type": "string", "description": "User provided display name of the Container." }, "containerId": { "description": "Output only. Unique ID for the container.", "readOnly": true, "type": "string" }, "widgets": { "description": "Widgets in the Container.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Widget" } } }, "description": "Configurable dashboard's container. Container can contain multiple widgets." }, "GoogleCloudContactcenterinsightsV1mainIssueAssignment": { "type": "object", "description": "Information about the issue.", "properties": { "issue": { "type": "string", "description": "Resource name of the assigned issue." }, "score": { "description": "Score indicating the likelihood of the issue assignment. currently bounded on [0,1].", "format": "double", "type": "number" }, "displayName": { "type": "string", "description": "Immutable. Display name of the assigned issue. This field is set at time of analysis and immutable since then." } }, "id": "GoogleCloudContactcenterinsightsV1mainIssueAssignment" }, "GoogleCloudContactcenterinsightsV1alpha1RegexMatchConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1RegexMatchConfig", "description": "Regex match configuration.", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1Dataset": { "type": "object", "description": "Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)", "id": "GoogleCloudContactcenterinsightsV1alpha1Dataset", "properties": { "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "type": "boolean", "readOnly": true }, "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. Dataset create time." }, "name": { "type": "string", "description": "Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}" }, "description": { "description": "Dataset description.", "type": "string" }, "type": { "enumDescriptions": [ "Default value for unspecified.", "For evals only.", "Dataset with new conversations coming in regularly (Insights legacy conversations and AI trainer)" ], "description": "Dataset usage type.", "type": "string", "enum": [ "TYPE_UNSPECIFIED", "EVAL", "LIVE" ] }, "satisfiesPzi": { "readOnly": true, "description": "Output only. Whether this resource is zone isolated.", "type": "boolean" }, "ttl": { "format": "google-duration", "description": "Optional. Option TTL for the dataset.", "type": "string" }, "displayName": { "description": "Display name for the dataaset", "type": "string" }, "updateTime": { "description": "Output only. Dataset update time.", "type": "string", "format": "google-datetime", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessage": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessage", "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. For user messages, this is the time at which the system received the message. For system messages, this is the time at which the system generated the message.", "readOnly": true }, "systemMessageWrapper": { "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessages", "description": "A wrapper for system messages per turn." }, "userMessage": { "description": "A message from the user that is interacting with the system.", "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageUserMessage" }, "messageId": { "description": "The message id of the message.", "type": "string" } }, "description": "The message in the conversation." }, "GoogleCloudContactcenterinsightsV1alpha1Intent": { "description": "The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE.", "id": "GoogleCloudContactcenterinsightsV1alpha1Intent", "properties": { "displayName": { "type": "string", "description": "The human-readable name of the intent." }, "id": { "description": "The unique identifier of the intent.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequest", "description": "Request to export an issue model.", "properties": { "gcsDestination": { "description": "Google Cloud Storage URI to export the issue model to.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequestGcsDestination" }, "name": { "type": "string", "description": "Required. The issue model to export." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary": { "description": "A point in a conversation that marks the start or the end of an annotation.", "properties": { "wordIndex": { "description": "The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.", "format": "int32", "type": "integer" }, "transcriptIndex": { "format": "int32", "type": "integer", "description": "The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero." } }, "id": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelMetadata": { "type": "object", "description": "Metadata used for export issue model.", "properties": { "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequest", "description": "The original export request." }, "createTime": { "type": "string", "format": "google-datetime", "description": "The time the operation was created." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequest": { "description": "The request to test correlation config.", "properties": { "correlationConfig": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig", "description": "Required. The correlation config to test." }, "maxSampleCount": { "description": "Optional. The maximum number of conversations to sample when using the `filter`. If not set, defaults to 1000. Values greater than 1000 are coerced to 1000. This field is ignored if `conversations` is provided.", "type": "integer", "format": "int32" }, "filter": { "type": "string", "description": "Optional. Filter to select conversations to test correlation against. Conversations matching this filter will be sampled based on start time. The most recent `max_sample_count` conversations will be selected. If no conversations match the filter, the request will fail with an `INVALID_ARGUMENT` error." }, "conversations": { "description": "Optional. A list of conversations to test against.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequestConversations" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequest" }, "GoogleCloudContactcenterinsightsV1AnnotatorSelector": { "properties": { "runSummarizationAnnotator": { "type": "boolean", "description": "Whether to run the summarization annotator." }, "runAutoLabelingAnnotator": { "description": "Optional. Whether to run the auto-labeling annotator. If true, the auto-labeling annotator will be run. This is a non-billable operation designed for fixing or backfilling custom labels.", "type": "boolean" }, "phraseMatchers": { "description": "The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}", "items": { "type": "string" }, "type": "array" }, "runQaAnnotator": { "description": "Whether to run the QA annotator.", "type": "boolean" }, "issueModels": { "type": "array", "description": "The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.", "items": { "type": "string" } }, "runPhraseMatcherAnnotator": { "description": "Whether to run the active phrase matcher annotator(s).", "type": "boolean" }, "runIssueModelAnnotator": { "description": "Whether to run the issue model annotator. A model should have already been deployed for this to take effect.", "type": "boolean" }, "runEntityAnnotator": { "type": "boolean", "description": "Whether to run the entity annotator." }, "runSentimentAnnotator": { "description": "Whether to run the sentiment annotator.", "type": "boolean" }, "qaConfig": { "description": "Configuration for the QA annotator.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfig" }, "runIntentAnnotator": { "description": "Whether to run the intent annotator.", "type": "boolean" }, "runSilenceAnnotator": { "description": "Whether to run the silence annotator.", "type": "boolean" }, "runInterruptionAnnotator": { "description": "Whether to run the interruption annotator.", "type": "boolean" }, "summarizationConfig": { "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfig", "description": "Configuration for the summarization annotator." } }, "description": "Selector of all available annotators and phrase matchers to run.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1AnnotatorSelector" }, "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule": { "id": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule", "description": "Rule for auto-labeling conversations.", "properties": { "labelKey": { "type": "string", "description": "The label key. This is also the {auto_labeling_rule} in the resource name. Only settable if label_key_type is LABEL_KEY_TYPE_CUSTOM." }, "updateTime": { "description": "Output only. The most recent time at which the rule was updated.", "readOnly": true, "format": "google-datetime", "type": "string" }, "name": { "type": "string", "description": "Identifier. The resource name of the auto-labeling rule. Format: projects/{project}/locations/{location}/autoLabelingRules/{auto_labeling_rule}" }, "createTime": { "readOnly": true, "format": "google-datetime", "description": "Output only. The time at which this rule was created.", "type": "string" }, "labelKeyType": { "enumDescriptions": [ "Unspecified label key type.", "The label key is custom defined by the user." ], "description": "The type of the label key.", "type": "string", "enum": [ "LABEL_KEY_TYPE_UNSPECIFIED", "LABEL_KEY_TYPE_CUSTOM" ] }, "description": { "type": "string", "description": "The description of the rule." }, "displayName": { "type": "string", "description": "The user-provided display name of the rule." }, "conditions": { "type": "array", "description": "Conditions to apply for auto-labeling the label_key. Representing sequential block of if .. else if .. else statements. The value of the first matching condition will be used.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRuleLabelingCondition" } }, "active": { "description": "Whether the rule is active.", "type": "boolean" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1UndeployIssueModelRequest": { "type": "object", "properties": { "name": { "type": "string", "description": "Required. The issue model to undeploy." } }, "description": "The request to undeploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1UndeployIssueModelRequest" }, "GoogleLongrunningOperation": { "properties": { "error": { "description": "The error result of the operation in case of failure or cancellation.", "$ref": "GoogleRpcStatus" }, "done": { "type": "boolean", "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." }, "name": { "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, "metadata": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." }, "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any." }, "response": { "type": "object", "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL.", "type": "any" } } }, "type": "object", "description": "This resource represents a long-running operation that is the result of a network API call.", "id": "GoogleLongrunningOperation" }, "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResultRuleCorrelationResult": { "properties": { "correlationId": { "description": "The correlation ID generated by the join key expression.", "type": "string" }, "ruleId": { "description": "The rule ID.", "type": "string" }, "error": { "$ref": "GoogleRpcStatus", "description": "The error status if the join key expression failed to evaluate." } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResultRuleCorrelationResult", "description": "The result of a single correlation rule.", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTablePart": { "properties": { "title": { "type": "string", "description": "Optional. Optional title for the table." }, "headers": { "type": "array", "description": "Optional. Table column headers.", "items": { "type": "string" } }, "rows": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTableRow" }, "description": "Optional. Table rows." } }, "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTablePart", "description": "A table part.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionAgentDimensionMetadata": { "description": "Metadata about the agent dimension.", "properties": { "agentDeploymentId": { "description": "Optional. The agent's deployment ID. Only applicable to automated agents. This will be populated for AGENT and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentTeam": { "description": "Optional. A user-specified string representing the agent's team.", "type": "string" }, "agentId": { "description": "Optional. A user-specified string representing the agent. This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentVersionId": { "description": "Optional. The agent's version ID. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentDisplayName": { "description": "Optional. The agent's deployment display name. Only applicable to automated agents. This will be populated for AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentVersionDisplayName": { "description": "Optional. The agent's version display name. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDisplayName": { "description": "Optional. The agent's name This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionAgentDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagRequest": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagRequest", "properties": { "name": { "type": "string", "description": "Required. The name of the QaQuestionTag to delete." } }, "description": "The request for deleting a QaQuestionTag." }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPoint": { "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPoint", "properties": { "dialogflowInteractionMeasure": { "description": "The measure related to dialogflow interactions.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure" }, "interval": { "description": "The interval that this data point represents. * If this is the total data point, the interval is [starting create time, ending create time) from the request. * If this a data point from the time series, the interval is [time, time + time granularity from the request).", "$ref": "GoogleTypeInterval" }, "conversationMeasure": { "description": "The measure related to conversations.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasure" } }, "description": "A data point contains the metric values mapped to an interval.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSource": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSource", "type": "object", "description": "The conversation source, which is a combination of transcript and audio.", "properties": { "metadataUri": { "type": "string", "description": "Cloud Storage URI that points to a file that contains the conversation metadata." }, "dialogflowSource": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DialogflowSource", "description": "The source when the conversation comes from Dialogflow." }, "turnLevelAudios": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio" }, "description": "Cloud Storage URIs that points to files that contain the conversation audio for each turn. Assume the order of the URIs is the same as the order of the transcript turns." }, "gcsSource": { "description": "A Cloud Storage location specification for the audio and transcript.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GcsSource" } } }, "GoogleCloudContactcenterinsightsV1alpha1IssueModel": { "properties": { "languageCode": { "description": "Language of the model.", "type": "string" }, "updateTime": { "description": "Output only. The most recent time at which the issue model was updated.", "format": "google-datetime", "type": "string", "readOnly": true }, "trainingStats": { "readOnly": true, "description": "Output only. Immutable. The issue model's label statistics on its training data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStats" }, "state": { "description": "Output only. State of the model.", "readOnly": true, "enumDescriptions": [ "Unspecified.", "Model is not deployed but is ready to deploy.", "Model is being deployed.", "Model is deployed and is ready to be used. A model can only be used in analysis if it's in this state.", "Model is being undeployed.", "Model is being deleted." ], "enum": [ "STATE_UNSPECIFIED", "UNDEPLOYED", "DEPLOYING", "DEPLOYED", "UNDEPLOYING", "DELETING" ], "type": "string" }, "issueCount": { "description": "Output only. Number of issues in this issue model.", "readOnly": true, "type": "string", "format": "int64" }, "createTime": { "format": "google-datetime", "readOnly": true, "description": "Output only. The time at which this issue model was created.", "type": "string" }, "displayName": { "type": "string", "description": "The representative name for the issue model." }, "inputDataConfig": { "description": "Configs for the input data that used to create the issue model.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelInputDataConfig" }, "name": { "type": "string", "description": "Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}" }, "modelType": { "enumDescriptions": [ "Unspecified model type.", "Type V1.", "Type V2." ], "enum": [ "MODEL_TYPE_UNSPECIFIED", "TYPE_V1", "TYPE_V2" ], "type": "string", "description": "Type of the model." } }, "description": "The issue model resource.", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModel", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageUserMessage": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageUserMessage", "type": "object", "properties": { "text": { "type": "string", "description": "A message from the user that is interacting with the system." } }, "description": "The user message." }, "GoogleCloudContactcenterinsightsV1mainCreateIssueModelMetadata": { "description": "Metadata for creating an issue model.", "properties": { "endTime": { "description": "Output only. The time the operation finished running.", "format": "google-datetime", "type": "string", "readOnly": true }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1mainCreateIssueModelRequest", "description": "The original request for creation." }, "createTime": { "type": "string", "readOnly": true, "description": "Output only. The time the operation was created.", "format": "google-datetime" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainCreateIssueModelMetadata" }, "GoogleCloudContactcenterinsightsV1SampleRule": { "type": "object", "description": "Message for sampling conversations.", "properties": { "conversationFilter": { "description": "To specify the filter for the conversions that should apply this sample rule. An empty filter means this sample rule applies to all conversations.", "type": "string" }, "dimension": { "description": "Optional. Group by dimension to sample the conversation. If no dimension is provided, the sampling will be applied to the project level. Current supported dimensions is 'quality_metadata.agent_info.agent_id'.", "type": "string" }, "samplePercentage": { "description": "Percentage of conversations that we should sample based on the dimension between [0, 100].", "format": "double", "type": "number" }, "sampleRow": { "type": "string", "format": "int64", "description": "Number of the conversations that we should sample based on the dimension." } }, "id": "GoogleCloudContactcenterinsightsV1SampleRule" }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessages": { "type": "object", "description": "A wrapper for system messages per turn.", "properties": { "systemMessages": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessage" }, "type": "array", "description": "A message from the system in response to the user." } }, "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessageSystemMessages" }, "GoogleCloudContactcenterinsightsV1mainQaScorecardResultQaTagResult": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultQaTagResult", "description": "Tags and their corresponding results.", "properties": { "score": { "description": "The score the tag applies to.", "type": "number", "format": "double" }, "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score the tag applies to." }, "tag": { "type": "string", "description": "The tag the score applies to." }, "potentialScore": { "format": "double", "description": "The potential score the tag applies to.", "type": "number" } } }, "GoogleCloudCesV1mainImage": { "description": "Represents an image input or output in the conversation.", "properties": { "data": { "type": "string", "format": "byte", "description": "Required. Raw bytes of the image." }, "mimeType": { "type": "string", "description": "Required. The IANA standard MIME type of the source data. Supported image types includes: * image/png * image/jpeg * image/webp" }, "altText": { "description": "Optional. The alternative text for the image.", "type": "string" } }, "id": "GoogleCloudCesV1mainImage", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainExportInsightsDataResponse": { "description": "Response for an export insights operation.", "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1PublishAssessmentRequest": { "properties": {}, "description": "The message to publish an assessment. Draft and appealed assessments can be published. Publishing simply changes the state of the assessment to published, allowing the console and authorized views to filter on the state.", "id": "GoogleCloudContactcenterinsightsV1alpha1PublishAssessmentRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelResponse": { "type": "object", "properties": {}, "description": "The response to undeploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelResponse" }, "GoogleCloudContactcenterinsightsV1alpha1InterruptionData": { "id": "GoogleCloudContactcenterinsightsV1alpha1InterruptionData", "type": "object", "properties": {}, "description": "The data for an interruption annotation." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsRequest": { "description": "The request for querying metrics.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsRequest", "properties": { "measureMask": { "format": "google-fieldmask", "type": "string", "description": "Measures to return. Defaults to all measures if this field is unspecified. A valid mask should traverse from the `measure` field from the response. For example, a path from a measure mask to get the conversation count is \"conversation_measure.count\"." }, "timeGranularity": { "type": "string", "enum": [ "TIME_GRANULARITY_UNSPECIFIED", "NONE", "DAILY", "HOURLY", "PER_MINUTE", "PER_5_MINUTES", "MONTHLY" ], "description": "The time granularity of each data point in the time series. Defaults to NONE if this field is unspecified.", "enumDescriptions": [ "The time granularity is unspecified and will default to NONE.", "No time granularity. The response won't contain a time series. This is the default value if no time granularity is specified.", "Data points in the time series will aggregate at a daily granularity. 1 day means [midnight to midnight).", "Data points in the time series will aggregate at a daily granularity. 1 HOUR means [01:00 to 02:00).", "Data points in the time series will aggregate at a daily granularity. PER_MINUTE means [01:00 to 01:01).", "Data points in the time series will aggregate at a 1 minute granularity. PER_5_MINUTES means [01:00 to 01:05).", "Data points in the time series will aggregate at a monthly granularity. 1 MONTH means [01st of the month to 1st of the next month)." ] }, "filter": { "type": "string", "description": "Required. Filter to select a subset of conversations to compute the metrics. Must specify a window of the conversation create time to compute the metrics. The returned metrics will be from the range [DATE(starting create time), DATE(ending create time)). " }, "dimensions": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dimension" }, "type": "array", "description": "The dimensions that determine the grouping key for the query. Defaults to no dimension if this field is unspecified. If a dimension is specified, its key must also be specified. Each dimension's key must be unique. If a time granularity is also specified, metric values in the dimension will be bucketed by this granularity. Up to one dimension is supported for now." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPart": { "description": "A structured component/part of a transcript segment.", "type": "object", "properties": { "link": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartLinkPart", "description": "Optional. Web link or URL." }, "customPayload": { "description": "Optional. Generic custom structured payload.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart" }, "image": { "description": "Optional. Image media.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartMediaPart" }, "text": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTextPart", "description": "Optional. Plain text content." }, "video": { "description": "Optional. Video media.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartMediaPart" }, "thought": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart", "description": "Optional. Model thought or internal reasoning." }, "list": { "description": "Optional. Ordered or unordered list.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartListPart" }, "citation": { "description": "Optional. Citation or reference to grounding material.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartCitationPart" }, "productCollection": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart", "description": "Optional. Product collection or carousel." }, "suggestionChips": { "description": "Optional. Suggestion chips or interactive buttons.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart" }, "table": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTablePart", "description": "Optional. Tabular data." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPart" }, "GoogleCloudContactcenterinsightsV1mainDimensionMediumDimensionMetadata": { "description": "Metadata about the conversation medium dimension.", "properties": { "medium": { "description": "Optional. The conversation medium. Currently supports : PHONE_CALL, CHAT.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainDimensionMediumDimensionMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartLinkPart": { "properties": { "text": { "type": "string", "description": "Optional. Anchor or display text." }, "uri": { "type": "string", "description": "Optional. Target URI." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartLinkPart", "description": "A link part." }, "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListFeedbackLabelsResponse", "description": "The response for listing feedback labels.", "type": "object", "properties": { "feedbackLabels": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "type": "array", "description": "The feedback labels that match the request." }, "nextPageToken": { "type": "string", "description": "The next page token." } } }, "GoogleCloudContactcenterinsightsV1SampleConversationsMetadataSampleConversationsStats": { "description": "Statistics for SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1SampleConversationsMetadataSampleConversationsStats", "properties": { "successfulSampleCount": { "type": "integer", "description": "Output only. The number of new conversations added during this sample operation.", "format": "int32", "readOnly": true }, "failedSampleCount": { "format": "int32", "type": "integer", "description": "Output only. The number of objects which were unable to be sampled due to errors. The errors are populated in the partial_errors field.", "readOnly": true } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionsResponse": { "description": "The response from a ListQaQuestions request.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionsResponse", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "qaQuestions": { "description": "The QaQuestions under the parent.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" } } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SearchAuthorizedViewsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1SearchAuthorizedViewsResponse", "description": "The response from a ListAuthorizedViews request.", "type": "object", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "authorizedViews": { "description": "The AuthorizedViews under the parent.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView" }, "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher": { "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatcher", "description": "The phrase matcher resource.", "properties": { "updateTime": { "description": "Output only. The most recent time at which the phrase matcher was updated.", "type": "string", "format": "google-datetime", "readOnly": true }, "displayName": { "description": "The human-readable name of the phrase matcher.", "type": "string" }, "revisionId": { "description": "Output only. Immutable. The revision ID of the phrase matcher. A new revision is committed whenever the matcher is changed, except when it is activated or deactivated. A server generated random ID will be used. Example: locations/global/phraseMatchers/my-first-matcher@1234567", "type": "string", "readOnly": true }, "type": { "description": "Required. The type of this phrase matcher.", "enum": [ "PHRASE_MATCHER_TYPE_UNSPECIFIED", "ALL_OF", "ANY_OF" ], "type": "string", "enumDescriptions": [ "Unspecified.", "Must meet all phrase match rule groups or there is no match.", "If any of the phrase match rule groups are met, there is a match." ] }, "roleMatch": { "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ], "type": "string", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "description": "The role whose utterances the phrase matcher should be matched against. If the role is ROLE_UNSPECIFIED it will be matched against any utterances in the transcript." }, "name": { "description": "The resource name of the phrase matcher. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}", "type": "string" }, "active": { "type": "boolean", "description": "Applies the phrase matcher only when it is active." }, "revisionCreateTime": { "readOnly": true, "description": "Output only. The timestamp of when the revision was created. It is also the create time when a new matcher is added.", "type": "string", "format": "google-datetime" }, "activationUpdateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the activation status was updated." }, "versionTag": { "type": "string", "description": "The customized version tag to use for the phrase matcher. If not specified, it will default to `revision_id`." }, "phraseMatchRuleGroups": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleGroup" }, "description": "A list of phase match rule groups that are included in this matcher.", "type": "array" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsRequest": { "id": "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsRequest", "type": "object", "description": "Request for the BulkDeleteFeedbackLabels endpoint.", "properties": { "filter": { "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" }, "parent": { "type": "string", "description": "Required. The parent resource for new feedback labels." } } }, "GoogleCloudContactcenterinsightsV1mainUploadConversationMetadata": { "properties": { "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true }, "appliedRedactionConfig": { "description": "Output only. The redaction config applied to the uploaded conversation.", "$ref": "GoogleCloudContactcenterinsightsV1mainRedactionConfig", "readOnly": true }, "analysisOperation": { "readOnly": true, "type": "string", "description": "Output only. The operation name for a successfully created analysis operation, if any." }, "endTime": { "readOnly": true, "type": "string", "description": "Output only. The time the operation finished running.", "format": "google-datetime" }, "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1mainUploadConversationRequest" } }, "id": "GoogleCloudContactcenterinsightsV1mainUploadConversationMetadata", "description": "The metadata for an `UploadConversation` operation.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationDataSourceTurnLevelAudio": { "description": "A wrapper for holding the audio for any given turn.", "type": "object", "properties": { "audioDuration": { "format": "google-duration", "type": "string", "description": "The duration of the audio." }, "audioGcsUri": { "type": "string", "description": "The Cloud Storage URI of the audio for any given turn." } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationDataSourceTurnLevelAudio" }, "GoogleCloudContactcenterinsightsV1mainRedactionConfig": { "properties": { "inspectTemplate": { "type": "string", "description": "The fully-qualified DLP inspect template resource name. Format: `projects/{project}/locations/{location}/inspectTemplates/{template}`" }, "deidentifyTemplate": { "description": "The fully-qualified DLP deidentify template resource name. Format: `projects/{project}/deidentifyTemplates/{template}`", "type": "string" } }, "description": "DLP resources used for redaction while ingesting conversations. DLP settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint or the Dialogflow / Agent Assist runtime integrations. When using Dialogflow / Agent Assist runtime integrations, redaction should be performed in Dialogflow / Agent Assist.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainRedactionConfig" }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionAnswerChoice": { "description": "Message representing a possible answer to the question.", "type": "object", "properties": { "score": { "type": "number", "description": "Numerical score of the answer, used for generating the overall score of a QaScorecardResult. If the answer uses na_value, this field is unused.", "format": "double" }, "naValue": { "type": "boolean", "description": "A value of \"Not Applicable (N/A)\". If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations." }, "boolValue": { "description": "Boolean value.", "type": "boolean" }, "numValue": { "format": "double", "type": "number", "description": "Numerical value." }, "key": { "description": "A short string used as an identifier.", "type": "string" }, "strValue": { "type": "string", "description": "String value." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionAnswerChoice" }, "GoogleCloudContactcenterinsightsV1GcsSource": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1GcsSource", "properties": { "audioUri": { "deprecated": true, "type": "string", "description": "Immutable. Deprecated: Use `audio_uris` instead. Cloud Storage URI that points to a file that contains the conversation audio." }, "audioUris": { "items": { "type": "string" }, "type": "array", "description": "Immutable. Cloud Storage URIs that point to files that contain the conversation audio. Supports both single audio files and multi-leg session recordings (e.g., call transfers, rolling recording buffers)." }, "transcriptUri": { "type": "string", "description": "Immutable. Cloud Storage URI that points to a file that contains the conversation transcript." } }, "description": "A Cloud Storage source of conversation data." }, "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagMetadata": { "description": "The metadata for updating a QaQuestionTag Resource.", "id": "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagMetadata", "properties": { "endTime": { "description": "Output only. The time the operation finished running.", "format": "google-datetime", "readOnly": true, "type": "string" }, "request": { "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagRequest", "readOnly": true }, "createTime": { "type": "string", "format": "google-datetime", "readOnly": true, "description": "Output only. The time the operation was created." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsRequest": { "description": "The request to analyze conversations in bulk.", "type": "object", "properties": { "analysisPercentage": { "type": "number", "description": "Required. Percentage of selected conversation to analyze, between [0, 100].", "format": "float" }, "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector" }, "filter": { "description": "Required. Filter used to select the subset of conversations to analyze.", "type": "string" }, "relabel": { "deprecated": true, "description": "Optional. Deprecated: Use `annotator_selector.run_auto_labeling_annotator` instead. If true, the labeling rules will be re-evaluated for the conversations.", "type": "boolean" }, "parent": { "type": "string", "description": "Required. The parent resource to create analyses in." } }, "id": "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsRequest" }, "GoogleIamV1TestIamPermissionsRequest": { "description": "Request message for `TestIamPermissions` method.", "properties": { "permissions": { "description": "The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).", "type": "array", "items": { "type": "string" } } }, "type": "object", "id": "GoogleIamV1TestIamPermissionsRequest" }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTextPart": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTextPart", "properties": { "text": { "description": "Optional. The text content.", "type": "string" } }, "description": "A text part." }, "GoogleCloudCesV1mainToolCall": { "type": "object", "properties": { "agentName": { "readOnly": true, "type": "string", "description": "Output only. Human-readable name of the agent that issued this call, e.g. \"Contract Architect\". Empty when the root agent issued it." }, "id": { "description": "Optional. The unique identifier of the tool call. If populated, the client should return the execution result with the matching ID in ToolResponse.", "type": "string" }, "parentToolCallId": { "description": "Output only. The id of the tool call that caused this one, when it was issued by a sub-agent working on behalf of a parent call. Empty for top-level calls. Lets a client group a sub-agent's work under the call that started it instead of rendering every step as a sibling.", "readOnly": true, "type": "string" }, "args": { "type": "object", "description": "Optional. The input parameters and values for the tool in JSON object format.", "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "targetApp": { "description": "Output only. The app this call targets, derived by the assistant from the call's resource arguments: an app resource name, `PROJECT` for location-scoped tools, or empty for session-local tools. Set only in project-scoped assistant sessions.", "type": "string", "readOnly": true }, "toolsetTool": { "description": "Optional. The toolset tool to execute.", "$ref": "GoogleCloudCesV1mainToolsetTool" }, "tool": { "type": "string", "description": "Optional. The name of the tool to execute. Format: `projects/{project}/locations/{location}/apps/{app}/tools/{tool}`" }, "displayName": { "type": "string", "description": "Output only. Display name of the tool.", "readOnly": true } }, "description": "Request for the client or the agent to execute the specified tool.", "id": "GoogleCloudCesV1mainToolCall" }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult": { "type": "object", "description": "The percentile result. Currently supported percentiles are 50th, 90th, and 99th.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointPercentileResult", "properties": { "p90": { "format": "double", "type": "number", "description": "The 90th percentile value." }, "p50": { "type": "number", "format": "double", "description": "The 50th percentile value." }, "p99": { "type": "number", "description": "The 99th percentile value.", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1alpha1SmartReplyData": { "id": "GoogleCloudContactcenterinsightsV1alpha1SmartReplyData", "type": "object", "properties": { "confidenceScore": { "description": "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).", "format": "double", "type": "number" }, "metadata": { "type": "object", "additionalProperties": { "type": "string" }, "description": "Map that contains metadata about the Smart Reply and the document from which it originates." }, "reply": { "description": "The content of the reply.", "type": "string" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" } }, "description": "Agent Assist Smart Reply data." }, "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsMetadata", "description": "The metadata for a bulk delete conversations operation.", "type": "object", "properties": { "partialErrors": { "items": { "$ref": "GoogleRpcStatus" }, "type": "array", "description": "Partial errors during bulk delete conversations operation that might cause the operation output to be incomplete." }, "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsRequest", "description": "The original request for bulk delete." }, "createTime": { "format": "google-datetime", "type": "string", "description": "The time the operation was created." } } }, "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListQaScorecardsResponse", "description": "The response from a ListQaScorecards request.", "properties": { "qaScorecards": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard" }, "description": "The QaScorecards under the parent.", "type": "array" }, "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResultRuleCorrelationResult": { "properties": { "ruleId": { "description": "The rule ID.", "type": "string" }, "correlationId": { "description": "The correlation ID generated by the join key expression.", "type": "string" }, "error": { "$ref": "GoogleRpcStatus", "description": "The error status if the join key expression failed to evaluate." } }, "type": "object", "description": "The result of a single correlation rule.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResultRuleCorrelationResult" }, "GoogleCloudContactcenterinsightsV1QaScorecardResult": { "type": "object", "description": "The results of scoring a single conversation against a QaScorecard. Contains a collection of QaAnswers and aggregate score.", "properties": { "conversation": { "type": "string", "description": "The conversation scored by this result." }, "qaTagResults": { "description": "Collection of tags and their scores.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaScorecardResultQaTagResult" } }, "scoreSources": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaScorecardResultScoreSource" }, "type": "array", "description": "List of all individual score sets." }, "agentId": { "description": "ID of the agent that handled the conversation.", "type": "string" }, "score": { "description": "The overall numerical score of the result, incorporating any manual edits if they exist.", "format": "double", "type": "number" }, "name": { "description": "Identifier. The name of the scorecard result. Format: projects/{project}/locations/{location}/qaScorecardResults/{qa_scorecard_result}", "type": "string" }, "qaAnswers": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaAnswer" }, "type": "array", "description": "Set of QaAnswers represented in the result." }, "qaScorecardRevision": { "description": "The QaScorecardRevision scored by this result.", "type": "string" }, "normalizedScore": { "description": "The normalized score, which is the score divided by the potential score. Any manual edits are included if they exist.", "type": "number", "format": "double" }, "potentialScore": { "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation.", "format": "double", "type": "number" }, "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The timestamp that the revision was created." } }, "id": "GoogleCloudContactcenterinsightsV1QaScorecardResult" }, "GoogleCloudContactcenterinsightsV1mainGcsSource": { "properties": { "audioUri": { "type": "string", "deprecated": true, "description": "Immutable. Deprecated: Use `audio_uris` instead. Cloud Storage URI that points to a file that contains the conversation audio." }, "transcriptUri": { "description": "Immutable. Cloud Storage URI that points to a file that contains the conversation transcript.", "type": "string" }, "audioUris": { "items": { "type": "string" }, "type": "array", "description": "Immutable. Cloud Storage URIs that point to files that contain the conversation audio. Supports both single audio files and multi-leg session recordings (e.g., call transfers, rolling recording buffers)." } }, "description": "A Cloud Storage source of conversation data.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainGcsSource" }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestGcsDestination": { "properties": { "format": { "description": "Required. File format in which the labels will be exported.", "enum": [ "FORMAT_UNSPECIFIED", "CSV", "JSON" ], "enumDescriptions": [ "Unspecified format.", "CSV format. 1,000 labels are stored per CSV file by default.", "JSON format. 1 label stored per JSON file by default." ], "type": "string" }, "addWhitespace": { "description": "Optional. Add whitespace to the JSON file. Makes easier to read, but increases file size. Only applicable for JSON format.", "type": "boolean" }, "objectUri": { "type": "string", "description": "Required. The Google Cloud Storage URI to write the feedback labels to. The file name will be used as a prefix for the files written to the bucket if the output needs to be split across multiple files, otherwise it will be used as is. The file extension will be appended to the file name based on the format selected. E.g. `gs://bucket_name/object_uri_prefix`" }, "alwaysPrintEmptyFields": { "type": "boolean", "description": "Optional. Always print fields with no presence. This is useful for printing fields that are not set, like implicit 0 value or empty lists/maps. Only applicable for JSON format." }, "recordsPerFileCount": { "format": "int64", "type": "string", "description": "Optional. The number of records per file. Applicable for either format." } }, "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestGcsDestination", "type": "object", "description": "Google Cloud Storage Object details to write the feedback labels to." }, "GoogleCloudContactcenterinsightsV1mainCesEndSessionAnnotation": { "properties": { "endSession": { "description": "End session signal from CES.", "$ref": "GoogleCloudCesV1mainEndSession" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainCesEndSessionAnnotation", "description": "The CES end session annotation." }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartListPart": { "properties": { "listType": { "enumDescriptions": [ "Unspecified list type.", "Unordered list.", "Ordered numbered list.", "Ordered alphabetic list." ], "description": "Optional. The type of list.", "type": "string", "enum": [ "LIST_TYPE_UNSPECIFIED", "UNORDERED", "ORDERED_NUMBER", "ORDERED_ALPHA" ] }, "items": { "type": "array", "description": "Optional. List items.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartListItem" } } }, "description": "A list part.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartListPart" }, "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelRequest": { "type": "object", "description": "The request to undeploy an issue model.", "properties": { "name": { "description": "Required. The issue model to undeploy.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelRequest" }, "GoogleCloudContactcenterinsightsV1alpha1TuneQaScorecardRevisionRequest": { "properties": { "filter": { "type": "string", "description": "Required. Filter for selecting the feedback labels that needs to be used for training. This filter can be used to limit the feedback labels used for tuning to a feedback labels created or updated for a specific time-window etc." }, "validateOnly": { "description": "Optional. Run in validate only mode, no fine tuning will actually run. Data quality validations like training data distributions will run. Even when set to false, the data quality validations will still run but once the validations complete we will proceed with the fine tune, if applicable.", "type": "boolean" } }, "description": "Request for TuneQaScorecardRevision endpoint.", "id": "GoogleCloudContactcenterinsightsV1alpha1TuneQaScorecardRevisionRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionMediumDimensionMetadata": { "description": "Metadata about the conversation medium dimension.", "properties": { "medium": { "type": "string", "description": "Optional. The conversation medium. Currently supports : PHONE_CALL, CHAT." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1DimensionMediumDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1mainExportIssueModelResponse": { "description": "Response from export issue model", "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainExportIssueModelResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1UploadConversationMetadata": { "description": "The metadata for an `UploadConversation` operation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1UploadConversationMetadata", "properties": { "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "request": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1UploadConversationRequest", "description": "Output only. The original request." }, "appliedRedactionConfig": { "readOnly": true, "description": "Output only. The redaction config applied to the uploaded conversation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig" }, "analysisOperation": { "description": "Output only. The operation name for a successfully created analysis operation, if any.", "readOnly": true, "type": "string" }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "readOnly": true, "format": "google-datetime" } } }, "GoogleCloudContactcenterinsightsV1alpha1CorrelationTypeConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1CorrelationTypeConfig", "properties": { "correlationRules": { "type": "array", "description": "A list of correlation rules to be evaluated for correlation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationRule" } } }, "type": "object", "description": "A list of correlation rules for a given correlation type." }, "GoogleCloudContactcenterinsightsV1mainExportInsightsDataMetadata": { "properties": { "endTime": { "format": "google-datetime", "type": "string", "readOnly": true, "description": "Output only. The time the operation finished running." }, "request": { "description": "The original request for export.", "$ref": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataRequest" }, "failedExportCount": { "description": "The number of conversations that failed to be exported.", "format": "int32", "type": "integer" }, "partialErrors": { "type": "array", "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during export operation that might cause the operation output to be incomplete." }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "format": "google-datetime", "type": "string" }, "completedExportCount": { "type": "integer", "description": "The number of conversations that were exported successfully.", "format": "int32" } }, "description": "Metadata for an export insights operation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainExportInsightsDataMetadata" }, "GoogleTypeMoney": { "type": "object", "properties": { "units": { "format": "int64", "description": "The whole units of the amount. For example if `currencyCode` is `\"USD\"`, then 1 unit is one US dollar.", "type": "string" }, "currencyCode": { "description": "The three-letter currency code defined in ISO 4217.", "type": "string" }, "nanos": { "format": "int32", "description": "Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If `units` is positive, `nanos` must be positive or zero. If `units` is zero, `nanos` can be positive, zero, or negative. If `units` is negative, `nanos` must be negative or zero. For example $-1.75 is represented as `units`=-1 and `nanos`=-750,000,000.", "type": "integer" } }, "id": "GoogleTypeMoney", "description": "Represents an amount of money with its currency type." }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadataIngestConversationsStats": { "description": "Statistics for IngestConversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadataIngestConversationsStats", "properties": { "duplicatesSkippedCount": { "description": "Output only. The number of objects skipped because another conversation with the same transcript uri had already been ingested.", "format": "int32", "type": "integer", "readOnly": true }, "successfulIngestCount": { "type": "integer", "description": "Output only. The number of new conversations added during this ingest operation.", "format": "int32", "readOnly": true }, "failedIngestCount": { "description": "Output only. The number of objects which were unable to be ingested due to errors. The errors are populated in the partial_errors field.", "readOnly": true, "type": "integer", "format": "int32" }, "processedObjectCount": { "type": "integer", "description": "Output only. The number of objects processed during the ingest operation.", "format": "int32", "readOnly": true } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessage": { "description": "The message in the conversation.", "properties": { "messageId": { "description": "The message id of the message.", "type": "string" }, "userMessage": { "description": "A message from the user that is interacting with the system.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageUserMessage" }, "createTime": { "description": "For user messages, this is the time at which the system received the message. For system messages, this is the time at which the system generated the message.", "format": "google-datetime", "type": "string" }, "systemMessage": { "description": "A message from the system in response to the user.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessage" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessage" }, "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelRequest": { "id": "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelRequest", "description": "The request to undeploy an issue model.", "properties": { "name": { "type": "string", "description": "Required. The issue model to undeploy." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ExactMatchConfig": { "properties": { "caseSensitive": { "description": "Whether to consider case sensitivity when performing an exact match.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ExactMatchConfig", "description": "Exact match configuration.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainSentimentData": { "description": "The data for a sentiment annotation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainSentimentData", "properties": { "magnitude": { "description": "A non-negative number from 0 to infinity which represents the absolute magnitude of sentiment regardless of score.", "type": "number", "format": "float" }, "score": { "description": "The sentiment score between -1.0 (negative) and 1.0 (positive).", "type": "number", "format": "float" } } }, "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponse": { "properties": { "textMessage": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponseTextOutput", "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response." }, "chartSpec": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object", "description": "The chart spec for the data. This will be specified in the vega-lite or vega format." }, "textOutput": { "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response.", "type": "string", "deprecated": true }, "generatedSqlQuery": { "description": "The generated SQL query from the LLM. Will be populated during the chart building phase. The generated SQL will be cached in the corresponding chart resource.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponse", "description": "Wrapper for storing the generative response for a chart.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionDimensionMetadata": { "properties": { "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" }, "qaQuestionId": { "description": "Optional. The QA question ID.", "type": "string" }, "questionBody": { "description": "Optional. The full body of the question.", "type": "string" } }, "description": "Metadata about the QA question dimension.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasure": { "properties": { "aiCoachSuggestionMessageTriggerRatio": { "description": "Proportion of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion.", "type": "number", "format": "double" }, "knowledgeSearchAgentQuerySourceRatio": { "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries made by the agent compared to the total number of knowledge search queries made.", "type": "number" }, "aiCoachSuggestionCustomerMessageTriggerCount": { "type": "integer", "description": "Count of customer messages that triggered an Ai Coach Suggestion.", "format": "int32" }, "conversationalAgentsAverageLlmCallLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' LLM call latency per interaction. This is computed as the average of the all the interactions LLM call latencies in a conversation and averaged across conversations." }, "knowledgeAssistResultCount": { "format": "int32", "type": "integer", "description": "Count of knowledge assist results (Proactive Generative Knowledge Assist) shown to the user." }, "dialogflowInteractionsNoInputRatio": { "type": "number", "description": "Proportion of dialogflow interactions that has empty input.", "format": "double" }, "aaSupervisorTransferredToHumanAgentConvCount": { "format": "int32", "description": "The number of conversations transferred to a human agent.", "type": "integer" }, "containedConversationRatio": { "description": "The percentage of conversations that were contained.", "type": "number", "format": "double" }, "knowledgeAssistUriClickRatio": { "type": "number", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had a URL clicked.", "format": "double" }, "summarizationSuggestionResultCount": { "type": "integer", "description": "Count of summarization suggestions results.", "format": "int32" }, "conversationalAgentsAverageTtsLatency": { "description": "The macro average latency of conversational agents' TTS latency per interaction. This is computed as the average of the all the interactions' TTS latencies in a conversation and averaged across conversations.", "type": "number", "format": "double" }, "aaSupervisorMonitoredConversationsCount": { "format": "int32", "type": "integer", "description": "The number of conversations scanned by the AA human supervisor." }, "summarizationSuggestionEditRatio": { "description": "Proportion of summarization suggestions that were manually edited.", "format": "double", "type": "number" }, "dialogflowConversationsEscalationCount": { "description": "count of conversations that was handed off from virtual agent to human agent.", "format": "double", "type": "number" }, "conversationSuggestedSummaryRatio": { "format": "double", "description": "Proportion of conversations that had a suggested summary.", "type": "number" }, "averageSummarizationSuggestionNormalizedEditDistance": { "description": "Normalized Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion. Normalized edit distance is the average of (edit distance / summary length).", "format": "double", "type": "number" }, "knowledgeSearchUriClickRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had a URL clicked.", "format": "double", "type": "number" }, "averageDuration": { "format": "google-duration", "type": "string", "description": "The average duration." }, "knowledgeSearchResultCount": { "description": "Count of knowledge search results (Generative Knowledge Assist) shown to the user.", "type": "integer", "format": "int32" }, "aaSupervisorAssignedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were assigned to an AA human supervisor." }, "dialogflowConversationsEscalationRatio": { "format": "double", "type": "number", "description": "Proportion of conversations that was handed off from virtual agent to human agent." }, "conversationAiCoachSuggestionRatio": { "type": "number", "format": "double", "description": "Proportion of conversations that has Ai Coach Suggestions." }, "dialogflowWebhookTimeoutRatio": { "format": "double", "description": "Proportion of dialogflow webhook calls that timed out.", "type": "number" }, "aiCoachSuggestionMessageTriggerCount": { "description": "Count of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion.", "format": "int32", "type": "integer" }, "aaSupervisorEscalatedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were escalated to an AA human supervisor for intervention." }, "conversationCount": { "type": "integer", "format": "int32", "description": "The conversation count." }, "conversationalAgentsAverageAudioInAudioOutLatency": { "description": "The average latency of conversational agents' audio in audio out latency per interaction. This is computed as the average of the all the interactions' audio in audio out latencies in a conversation and averaged across conversations.", "format": "double", "type": "number" }, "aiCoachSuggestionCustomerMessageTriggerRatio": { "description": "Proportion of customer messages that triggered an Ai Coach Suggestion.", "format": "double", "type": "number" }, "averageCustomerSatisfactionRating": { "type": "number", "format": "double", "description": "The average customer satisfaction rating." }, "aiCoachSuggestionAgentUsageCount": { "type": "integer", "description": "Count of Ai Coach Suggestion that has been used by agents.", "format": "int32" }, "knowledgeAssistPositiveFeedbackRatio": { "type": "number", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had positive feedback.", "format": "double" }, "averageAgentSentimentScore": { "description": "The average agent's sentiment score.", "type": "number", "format": "float" }, "qaTagScores": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasureQaTagScore" }, "description": "Average QA normalized score for all the tags.", "type": "array" }, "knowledgeSearchNegativeFeedbackRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had negative feedback.", "type": "number", "format": "double" }, "aaSupervisorDroppedConversationsCount": { "description": "The number of conversations that were dropped, i.e. escalated but not assigned to an AA human supervisor.", "type": "integer", "format": "int32" }, "containedConversationCount": { "format": "int32", "type": "integer", "description": "The number of conversations that were contained." }, "conversationTotalCustomerMessageCount": { "description": "The customer message count.", "format": "int32", "type": "integer" }, "averageClientSentimentScore": { "description": "The average client's sentiment score.", "format": "float", "type": "number" }, "aiCoachSuggestionAgentMessageTriggerCount": { "description": "Count of agent messages that triggered an Ai Coach Suggestion.", "type": "integer", "format": "int32" }, "aiCoachSuggestionAgentUsageRatio": { "type": "number", "description": "Proportion of Ai Coach Suggestion that has been used by agents.", "format": "double" }, "conversationAiCoachSuggestionCount": { "type": "integer", "description": "Count of conversations that has Ai Coach Suggestions.", "format": "int32" }, "averageSilencePercentage": { "description": "The average silence percentage.", "type": "number", "format": "float" }, "averageTurnCount": { "description": "The average turn count.", "type": "number", "format": "float" }, "conversationTotalAgentMessageCount": { "description": "The agent message count.", "type": "integer", "format": "int32" }, "dialogflowAverageWebhookLatency": { "description": "Average latency of dialogflow webhook calls.", "type": "number", "format": "double" }, "avgConversationClientTurnSentimentEma": { "format": "double", "type": "number", "description": "The exponential moving average of the sentiment score of client turns in the conversation." }, "knowledgeSearchSuggestedQuerySourceRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries suggested compared to the total number of knowledge search queries made." }, "averageQaQuestionNormalizedScore": { "format": "double", "type": "number", "description": "Average QA normalized score averaged for questions averaged across all revisions of the parent scorecard. Will be only populated if the request specifies a dimension of QA_QUESTION_ID." }, "conversationalAgentsAverageEndToEndLatency": { "description": "The average latency of conversational agents' latency per interaction. This is computed as the average of the all the iteractions' end to end latencies in a conversation and averaged across conversations. The e2e latency is the time between the end of the user utterance and the start of the agent utterance on the interaction level.", "type": "number", "format": "double" }, "averageSummarizationSuggestionEditDistance": { "format": "double", "type": "number", "description": "Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion." }, "averageQaNormalizedScore": { "type": "number", "format": "double", "description": "The average normalized QA score for a scorecard. When computing the average across a set of conversations, if a conversation has been evaluated with multiple revisions of a scorecard, only the latest revision results will be used. Will exclude 0's in average calculation. Will be only populated if the request specifies a dimension of QA_SCORECARD_ID." }, "knowledgeAssistNegativeFeedbackRatio": { "format": "double", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had negative feedback.", "type": "number" }, "dialogflowInteractionsNoMatchRatio": { "type": "number", "format": "double", "description": "Proportion of dialogflow interactions that has no intent match for the input." }, "knowledgeSearchPositiveFeedbackRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had positive feedback.", "type": "number", "format": "double" }, "dialogflowWebhookFailureRatio": { "description": "Proportion of dialogflow webhook calls that failed.", "type": "number", "format": "double" } }, "type": "object", "description": "The measure related to conversations.", "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasure" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationParticipant": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationParticipant", "description": "The call participant speaking for a given utterance.", "properties": { "dialogflowParticipantName": { "description": "The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}", "type": "string" }, "userId": { "description": "A user-specified ID representing the participant.", "type": "string" }, "role": { "type": "string", "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ], "description": "The role of the participant.", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ] }, "obfuscatedExternalUserId": { "type": "string", "description": "Obfuscated user ID from Dialogflow." }, "dialogflowParticipant": { "deprecated": true, "description": "Deprecated. Use `dialogflow_participant_name` instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig": { "type": "object", "properties": { "createTime": { "description": "Output only. The time at which the correlation config was created.", "type": "string", "readOnly": true, "format": "google-datetime" }, "name": { "description": "Immutable. Identifier. The resource name of the correlation config. Format: projects/{project}/locations/{location}/correlationConfig", "type": "string" }, "fullConversationConfig": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CorrelationTypeConfig", "description": "The correlation type config for full conversations." }, "updateTime": { "format": "google-datetime", "description": "Output only. The time at which the correlation config was last updated.", "readOnly": true, "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CorrelationConfig", "description": "A configuration that defines how to correlate conversations for a given a given project." }, "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView": { "description": "An AuthorizedView represents a view of accessible Insights resources (for example, Conversation and Scorecard). Who have read access to the AuthorizedView resource will have access to these Insight resources as well.", "properties": { "conversationFilter": { "description": "A filter to reduce conversation results to a specific subset. The AuthorizedView's assigned permission (read/write) could be applied to the subset of conversations. If conversation_filter is empty, there is no restriction on the conversations that the AuthorizedView can access. Having *authorizedViews.get* access to the AuthorizedView means having the same read/write access to the Conversations (as well as metadata/annotations linked to the conversation) that this AuthorizedView has.", "type": "string" }, "displayName": { "description": "Display Name. Limit 64 characters.", "type": "string" }, "createTime": { "description": "Output only. The time at which the authorized view was created.", "readOnly": true, "type": "string", "format": "google-datetime" }, "satisfiesPzs": { "type": "boolean", "readOnly": true, "description": "Output only. Whether this resource is zone separated." }, "updateTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The most recent time at which the authorized view was updated." }, "name": { "description": "Identifier. The resource name of the AuthorizedView. Format: projects/{project}/locations/{location}/authorizedViewSets/{authorized_view_set}/authorizedViews/{authorized_view}", "type": "string" }, "satisfiesPzi": { "readOnly": true, "type": "boolean", "description": "Output only. Whether this resource is zone isolated." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedView", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationProfileDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationProfileDimensionMetadata", "description": "Metadata about the conversation profile dimension.", "type": "object", "properties": { "conversationProfileId": { "type": "string", "description": "Optional. The conversation profile ID." } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadata": { "properties": { "feedbackLabels": { "description": "Input only. The feedback labels associated with the conversation.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "type": "array" }, "waitDuration": { "description": "The amount of time the customer waited to connect with an agent.", "format": "google-duration", "type": "string" }, "agentInfo": { "description": "Information about agents involved in the call.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadataAgentInfo" } }, "menuPath": { "description": "An arbitrary string value specifying the menu path the customer took.", "type": "string" }, "customerSatisfactionRating": { "description": "An arbitrary integer value indicating the customer's satisfaction rating.", "format": "int32", "type": "integer" } }, "description": "Conversation metadata related to quality management.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1CreateAnalysisOperationMetadata": { "description": "Metadata for a create analysis operation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1CreateAnalysisOperationMetadata", "properties": { "createTime": { "description": "Output only. The time the operation was created.", "readOnly": true, "format": "google-datetime", "type": "string" }, "annotatorSelector": { "description": "Output only. The annotator selector used for the analysis (if any).", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector", "readOnly": true }, "endTime": { "type": "string", "format": "google-datetime", "readOnly": true, "description": "Output only. The time the operation finished running." }, "conversation": { "description": "Output only. The Conversation that this Analysis Operation belongs to.", "type": "string", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1IngestConversationsRequestGcsSource": { "properties": { "transcriptBucketUri": { "type": "string", "description": "Optional. The Cloud Storage path to the conversation transcripts. Note that: [1] Transcript files are expected to be in JSON format. [2] Transcript, audio, metadata files must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`." }, "bucketUri": { "type": "string", "description": "Optional. The Cloud Storage bucket containing source objects. Avoid passing this. Pass this through one of `transcript_bucket_uri` or `audio_bucket_uri`." }, "customMetadataKeys": { "type": "array", "description": "Optional. Custom keys to extract as conversation labels from metadata files in `metadata_bucket_uri`. Keys not included in this field will be ignored. Note that there is a limit of 100 labels per conversation.", "items": { "type": "string" } }, "metadataBucketUri": { "description": "Optional. The Cloud Storage path to the conversation metadata. Note that: [1] Metadata files are expected to be in JSON format. [2] Metadata and source files (transcripts or audio) must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`.", "type": "string" }, "bucketObjectType": { "description": "Optional. Specifies the type of the objects in `bucket_uri`. Avoid passing this. This is inferred from the `transcript_bucket_uri`, `audio_bucket_uri`.", "enumDescriptions": [ "The object type is unspecified and will default to `TRANSCRIPT`.", "The object is a transcript.", "The object is an audio file." ], "enum": [ "BUCKET_OBJECT_TYPE_UNSPECIFIED", "TRANSCRIPT", "AUDIO" ], "type": "string" }, "audioBucketUri": { "description": "Optional. The Cloud Storage path to the conversation audio file. Note that: [1] Audio files will be transcribed if not already. [2] Audio files and transcript files must be in separate buckets / folders. [3] A source file and its corresponding audio file must share the same name to be properly ingested, E.g. `gs://bucket/transcript/conversation1.json` and `gs://bucket/audio/conversation1.mp3`.", "type": "string" } }, "description": "Configuration for Cloud Storage bucket sources.", "id": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestGcsSource", "type": "object" }, "GoogleIamV1SetIamPolicyRequest": { "properties": { "policy": { "$ref": "GoogleIamV1Policy", "description": "REQUIRED: The complete policy to be applied to the `resource`. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them." }, "updateMask": { "description": "OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only the fields in the mask will be modified. If no mask is provided, the following default mask is used: `paths: \"bindings, etag\"`", "format": "google-fieldmask", "type": "string" } }, "description": "Request message for `SetIamPolicy` method.", "id": "GoogleIamV1SetIamPolicyRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionMediumDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionMediumDimensionMetadata", "description": "Metadata about the conversation medium dimension.", "type": "object", "properties": { "medium": { "type": "string", "description": "Optional. The conversation medium. Currently supports : PHONE_CALL, CHAT." } } }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageUserMessage": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageUserMessage", "type": "object", "properties": { "text": { "type": "string", "description": "A message from the user that is interacting with the system." } }, "description": "The user message." }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessageTextOutput": { "description": "A text output message from the system.", "properties": { "texts": { "description": "The parts of the message.", "type": "array", "items": { "type": "string" } }, "type": { "enumDescriptions": [ "The default text type.", "The text is a thinking plan generated by the thinking tool.", "The text is a final response to the user question.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "description": "The type of the text message.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessageTextOutput", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestGcsSource": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestGcsSource", "description": "Configuration for Cloud Storage bucket sources.", "properties": { "bucketUri": { "description": "Optional. The Cloud Storage bucket containing source objects. Avoid passing this. Pass this through one of `transcript_bucket_uri` or `audio_bucket_uri`.", "type": "string" }, "audioBucketUri": { "description": "Optional. The Cloud Storage path to the conversation audio file. Note that: [1] Audio files will be transcribed if not already. [2] Audio files and transcript files must be in separate buckets / folders. [3] A source file and its corresponding audio file must share the same name to be properly ingested, E.g. `gs://bucket/transcript/conversation1.json` and `gs://bucket/audio/conversation1.mp3`.", "type": "string" }, "customMetadataKeys": { "items": { "type": "string" }, "type": "array", "description": "Optional. Custom keys to extract as conversation labels from metadata files in `metadata_bucket_uri`. Keys not included in this field will be ignored. Note that there is a limit of 100 labels per conversation." }, "bucketObjectType": { "enumDescriptions": [ "The object type is unspecified and will default to `TRANSCRIPT`.", "The object is a transcript.", "The object is an audio file." ], "description": "Optional. Specifies the type of the objects in `bucket_uri`. Avoid passing this. This is inferred from the `transcript_bucket_uri`, `audio_bucket_uri`.", "enum": [ "BUCKET_OBJECT_TYPE_UNSPECIFIED", "TRANSCRIPT", "AUDIO" ], "type": "string" }, "metadataBucketUri": { "description": "Optional. The Cloud Storage path to the conversation metadata. Note that: [1] Metadata files are expected to be in JSON format. [2] Metadata and source files (transcripts or audio) must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`.", "type": "string" }, "transcriptBucketUri": { "description": "Optional. The Cloud Storage path to the conversation transcripts. Note that: [1] Transcript files are expected to be in JSON format. [2] Transcript, audio, metadata files must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainConversation": { "description": "The conversation resource.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConversation", "properties": { "dialogflowIntents": { "description": "Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}", "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainDialogflowIntent" }, "readOnly": true }, "duration": { "readOnly": true, "type": "string", "description": "Output only. The duration of the conversation.", "format": "google-duration" }, "medium": { "description": "Immutable. The conversation medium.", "type": "string", "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ] }, "latestSummary": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainConversationSummarizationSuggestionData", "description": "Output only. Latest summary of the conversation." }, "languageCode": { "description": "A user-specified language code for the conversation.", "type": "string" }, "createTime": { "readOnly": true, "type": "string", "description": "Output only. The time at which the conversation was created.", "format": "google-datetime" }, "dataSource": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationDataSource", "description": "The source of the audio and transcription for the conversation." }, "name": { "type": "string", "description": "Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}" }, "satisfiesPzs": { "type": "boolean", "description": "Output only. Whether this resource is zone separated.", "readOnly": true }, "latestAnalysis": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainAnalysis", "description": "Output only. The conversation's latest analysis, if one exists." }, "metadataJson": { "description": "Optional. JSON metadata encoded as a string. This field is primarily used by Insights integrations with various telephony systems and must be in one of Insight's supported formats.", "type": "string" }, "ttl": { "type": "string", "format": "google-duration", "description": "Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time." }, "expireTime": { "type": "string", "format": "google-datetime", "description": "The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted." }, "runtimeAnnotations": { "description": "Output only. The annotations that were generated during the customer and agent interaction.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotation" }, "readOnly": true }, "agentId": { "type": "string", "description": "An opaque, user-specified string representing the human agent who handled the conversation." }, "startTime": { "type": "string", "description": "The time at which the conversation started.", "format": "google-datetime" }, "correlationInfo": { "description": "Output only. Info for correlating across conversations.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationInfo" }, "transcript": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscript", "readOnly": true, "description": "Output only. The conversation transcript." }, "qualityMetadata": { "description": "Conversation metadata related to quality management.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadata" }, "updateTime": { "description": "Output only. The most recent time at which the conversation was updated.", "type": "string", "format": "google-datetime", "readOnly": true }, "labels": { "additionalProperties": { "type": "string" }, "type": "object", "description": "A map for the user to specify any custom fields. A maximum of 100 labels per conversation is allowed, with a maximum of 256 characters per entry." }, "turnCount": { "type": "integer", "readOnly": true, "format": "int32", "description": "Output only. The number of turns in the conversation." }, "callMetadata": { "description": "Call-specific metadata.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationCallMetadata" }, "satisfiesPzi": { "readOnly": true, "type": "boolean", "description": "Output only. Whether this resource is zone isolated." }, "obfuscatedUserId": { "description": "Obfuscated user ID which the customer sent to us.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscript": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscript", "properties": { "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The update time of the conversation." }, "messages": { "description": "Ordered list of messages, including user inputs and system responses.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightConversationTranscriptMessage" } }, "conversationId": { "description": "The conversation id of the chart.", "type": "string" }, "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The create time of the conversation." } }, "description": "The conversation transcript for the chart.", "type": "object" }, "GoogleCloudContactcenterinsightsV1SampleConversationsResponse": { "properties": {}, "description": "The response to an SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1SampleConversationsResponse", "type": "object" }, "GoogleCloudCesV1mainEndSession": { "id": "GoogleCloudCesV1mainEndSession", "type": "object", "properties": { "metadata": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "Optional. Provides additional information about the end session signal, such as the reason for ending the session." } }, "description": "Indicates the session has terminated, due to either successful completion (e.g. user says \"Good bye!\" ) or an agent escalation. The agent will not process any further inputs after session is terminated and the client should half-close and disconnect after receiving all remaining responses from the agent." }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartProduct": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartProduct", "description": "A product in a product collection.", "properties": { "description": { "type": "string", "description": "Optional. Product description." }, "price": { "description": "Optional. Product price.", "$ref": "GoogleTypeMoney" }, "id": { "description": "Optional. Product ID.", "type": "string" }, "displayName": { "description": "Optional. Product display name.", "type": "string" }, "imageUris": { "type": "array", "description": "Optional. Product image URLs.", "items": { "type": "string" } }, "uri": { "description": "Optional. Product URL or deep link.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDimensionClientSentimentCategoryDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainDimensionClientSentimentCategoryDimensionMetadata", "properties": { "sentimentCategory": { "type": "string", "description": "Optional. The client sentiment category." } }, "type": "object", "description": "Metadata about the client sentiment category dimension." }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponse": { "description": "The response of testing correlation config.", "properties": { "detailedResults": { "description": "Results for the DETAILED_SYNC execution mode.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponseDetailedCorrelationResults" }, "partialErrors": { "type": "array", "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponse" }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStats": { "properties": { "correlatedConversationsCount": { "format": "int32", "type": "integer", "description": "The number of conversations correlated." }, "conversationCorrelationErrors": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError" }, "description": "A list of errors that occurred during correlation, one for each conversation that failed.", "type": "array" }, "sampledConversationsCount": { "description": "The number of conversations sampled.", "type": "integer", "format": "int32" }, "partialErrors": { "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "failedConversationsCount": { "format": "int32", "type": "integer", "description": "The number of conversations that failed correlation." } }, "description": "Statistics for TestCorrelationConfig operation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStats" }, "GoogleCloudContactcenterinsightsV1alpha1MetricDefinition": { "type": "object", "properties": { "displayName": { "type": "string", "readOnly": true, "description": "Output only. The user-visible name of the metric (e.g., \"Containment Rate\")." }, "sourceId": { "readOnly": true, "description": "Output only. The resource name of the underlying Insights primitive (e.g., Tag or QaQuestion) used to calculate this metric.", "type": "string" } }, "description": "A definition for a metric to be calculated during analysis.", "id": "GoogleCloudContactcenterinsightsV1alpha1MetricDefinition" }, "GoogleCloudContactcenterinsightsV1AnalysisResult": { "properties": { "endTime": { "format": "google-datetime", "description": "The time at which the analysis ended.", "type": "string" }, "callAnalysisMetadata": { "description": "Call-specific metadata created by the analysis.", "$ref": "GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadata" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1AnalysisResult", "description": "The result of an analysis." }, "GoogleCloudContactcenterinsightsV1ConversationQualityMetadata": { "id": "GoogleCloudContactcenterinsightsV1ConversationQualityMetadata", "description": "Conversation metadata related to quality management.", "properties": { "customerSatisfactionRating": { "description": "An arbitrary integer value indicating the customer's satisfaction rating.", "format": "int32", "type": "integer" }, "menuPath": { "type": "string", "description": "An arbitrary string value specifying the menu path the customer took." }, "feedbackLabels": { "description": "Input only. The feedback labels associated with the conversation.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1FeedbackLabel" } }, "waitDuration": { "format": "google-duration", "description": "The amount of time the customer waited to connect with an agent.", "type": "string" }, "agentInfo": { "type": "array", "description": "Information about agents involved in the call.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationQualityMetadataAgentInfo" } } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1DialogflowSource": { "type": "object", "properties": { "dialogflowConversation": { "readOnly": true, "description": "Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}", "type": "string" }, "audioUri": { "description": "Cloud Storage URI that points to a file that contains the conversation audio.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DialogflowSource", "description": "A Dialogflow source of conversation data." }, "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagRequest": { "properties": { "qaQuestionTag": { "description": "Required. The QaQuestionTag to update.", "$ref": "GoogleCloudContactcenterinsightsV1mainQaQuestionTag" }, "updateMask": { "format": "google-fieldmask", "type": "string", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `qa_question_tag_name` - the name of the tag * `qa_question_ids` - the list of questions the tag applies to" } }, "id": "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagRequest", "type": "object", "description": "The request for updating a QaQuestionTag." }, "GoogleCloudContactcenterinsightsV1alpha1UserInfo": { "properties": { "username": { "type": "string", "description": "The user's username." } }, "description": "Information about a user.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1UserInfo" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResult": { "type": "object", "description": "The result of testing correlation config on a single conversation.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResult", "properties": { "ruleResults": { "type": "array", "description": "The results for each correlation rule.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResultRuleCorrelationResult" } }, "conversation": { "type": "string", "description": "The conversation resource name." } } }, "GoogleCloudContactcenterinsightsV1alpha1FaqAnswerData": { "properties": { "metadata": { "type": "object", "description": "Map that contains metadata about the FAQ answer and the document that it originates from.", "additionalProperties": { "type": "string" } }, "source": { "type": "string", "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}." }, "confidenceScore": { "format": "float", "type": "number", "description": "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)." }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" }, "question": { "description": "The corresponding FAQ question.", "type": "string" }, "answer": { "description": "The piece of text from the `source` knowledge base document.", "type": "string" } }, "description": "Agent Assist frequently-asked-question answer data.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1FaqAnswerData" }, "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadataAgentInfo": { "properties": { "location": { "description": "The agent's location.", "type": "string" }, "versionDisplayName": { "type": "string", "description": "The agent's version display name. Only applicable to automated agents." }, "agentType": { "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ], "description": "The agent type, e.g. HUMAN_AGENT.", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "type": "string" }, "deploymentId": { "description": "The agent's deployment ID. Only applicable to automated agents.", "type": "string" }, "deploymentDisplayName": { "description": "The agent's deployment display name. Only applicable to automated agents.", "type": "string" }, "entrySubagentId": { "type": "string", "description": "The entry subagent's ID." }, "agentId": { "description": "A user-specified string representing the agent.", "type": "string" }, "dispositionCode": { "type": "string", "description": "A user-provided string indicating the outcome of the agent's segment of the call." }, "team": { "description": "A user-specified string representing the agent's team. Deprecated in favor of the `teams` field.", "deprecated": true, "type": "string" }, "studyArmId": { "type": "string", "description": "The study arm ID associated with the conversation. Only applicable to automated agents." }, "studyId": { "description": "The study ID associated with the conversation. Only applicable to automated agents.", "type": "string" }, "entrySubagentDisplayName": { "type": "string", "description": "The entry subagent's display name." }, "displayName": { "description": "The agent's name.", "type": "string" }, "versionId": { "description": "The agent's version ID. Only applicable to automated agents.", "type": "string" }, "teams": { "description": "User-specified strings representing the agent's teams.", "type": "array", "items": { "type": "string" } } }, "description": "Information about an agent involved in the conversation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConversationQualityMetadataAgentInfo" }, "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig", "description": "DLP resources used for redaction while ingesting conversations. DLP settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint or the Dialogflow / Agent Assist runtime integrations. When using Dialogflow / Agent Assist runtime integrations, redaction should be performed in Dialogflow / Agent Assist.", "properties": { "deidentifyTemplate": { "type": "string", "description": "The fully-qualified DLP deidentify template resource name. Format: `projects/{project}/deidentifyTemplates/{template}`" }, "inspectTemplate": { "description": "The fully-qualified DLP inspect template resource name. Format: `projects/{project}/locations/{location}/inspectTemplates/{template}`", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector": { "properties": { "summarizationConfig": { "description": "Configuration for the summarization annotator.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorSummarizationConfig" }, "runInterruptionAnnotator": { "type": "boolean", "description": "Whether to run the interruption annotator." }, "runPhraseMatcherAnnotator": { "description": "Whether to run the active phrase matcher annotator(s).", "type": "boolean" }, "runSilenceAnnotator": { "description": "Whether to run the silence annotator.", "type": "boolean" }, "runIssueModelAnnotator": { "type": "boolean", "description": "Whether to run the issue model annotator. A model should have already been deployed for this to take effect." }, "runSentimentAnnotator": { "description": "Whether to run the sentiment annotator.", "type": "boolean" }, "runSummarizationAnnotator": { "description": "Whether to run the summarization annotator.", "type": "boolean" }, "phraseMatchers": { "description": "The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}", "type": "array", "items": { "type": "string" } }, "runQaAnnotator": { "description": "Whether to run the QA annotator.", "type": "boolean" }, "runEntityAnnotator": { "description": "Whether to run the entity annotator.", "type": "boolean" }, "qaConfig": { "description": "Configuration for the QA annotator.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfig" }, "runIntentAnnotator": { "description": "Whether to run the intent annotator.", "type": "boolean" }, "issueModels": { "description": "The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.", "type": "array", "items": { "type": "string" } }, "runAutoLabelingAnnotator": { "description": "Optional. Whether to run the auto-labeling annotator. If true, the auto-labeling annotator will be run. This is a non-billable operation designed for fixing or backfilling custom labels.", "type": "boolean" } }, "type": "object", "description": "Selector of all available annotators and phrase matchers to run.", "id": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartListPart": { "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartListPart", "description": "A list part.", "properties": { "items": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartListItem" }, "description": "Optional. List items.", "type": "array" }, "listType": { "type": "string", "description": "Optional. The type of list.", "enumDescriptions": [ "Unspecified list type.", "Unordered list.", "Ordered numbered list.", "Ordered alphabetic list." ], "enum": [ "LIST_TYPE_UNSPECIFIED", "UNORDERED", "ORDERED_NUMBER", "ORDERED_ALPHA" ] } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessages": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessages", "properties": { "systemMessages": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessage" }, "description": "A message from the system in response to the user." } }, "description": "A wrapper for system messages per turn." }, "GoogleCloudContactcenterinsightsV1DeployIssueModelResponse": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1DeployIssueModelResponse", "description": "The response to deploy an issue model.", "type": "object" }, "GoogleRpcStatus": { "id": "GoogleRpcStatus", "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "type": "object", "properties": { "message": { "type": "string", "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client." }, "code": { "type": "integer", "format": "int32", "description": "The status code, which should be an enum value of google.rpc.Code." }, "details": { "items": { "additionalProperties": { "type": "any", "description": "Properties of the object. Contains field @type with type URL." }, "type": "object" }, "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1DialogflowIntent": { "description": "The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE.", "id": "GoogleCloudContactcenterinsightsV1alpha1DialogflowIntent", "type": "object", "properties": { "displayName": { "type": "string", "description": "The human-readable name of the intent." } } }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError": { "description": "An error that occurred during correlation for a specific conversation.", "properties": { "conversation": { "description": "The conversation resource name that had an error during correlation.", "type": "string" }, "status": { "description": "The error status.", "$ref": "GoogleRpcStatus" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError" }, "GoogleCloudCesV1mainBlob": { "id": "GoogleCloudCesV1mainBlob", "description": "Represents a blob input or output in the conversation.", "properties": { "mimeType": { "type": "string", "description": "Required. The IANA standard MIME type of the source data." }, "data": { "type": "string", "description": "Required. Raw bytes of the blob.", "format": "byte" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStatsIssueStats": { "properties": { "labeledConversationsCount": { "type": "string", "format": "int64", "description": "Number of conversations attached to the issue at this point in time." }, "displayName": { "type": "string", "description": "Display name of the issue." }, "issue": { "description": "Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStatsIssueStats", "type": "object", "description": "Aggregated statistics about an issue." }, "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequest", "type": "object", "properties": { "gcsSource": { "description": "A cloud storage bucket source.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestGcsSource" }, "validateOnly": { "type": "boolean", "description": "Optional. If set, upload will not happen and the labels will be validated. If not set, then default behavior will be to upload the labels after validation is complete." }, "sheetsSource": { "description": "A sheets document source.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestSheetsSource" } }, "description": "The request for bulk uploading feedback labels." }, "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecResponse": { "description": "The response to initialize a location-level encryption specification.", "properties": {}, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecResponse" }, "GoogleCloudContactcenterinsightsV1alpha1Analysis": { "properties": { "satisfiesPzi": { "readOnly": true, "description": "Output only. Whether this resource is zone isolated.", "type": "boolean" }, "analysisResult": { "readOnly": true, "description": "Output only. The result of the analysis, which is populated when the analysis finishes.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisResult" }, "createTime": { "description": "Output only. The time at which the analysis was created, which occurs when the long-running operation completes.", "readOnly": true, "type": "string", "format": "google-datetime" }, "name": { "type": "string", "description": "Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}" }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "type": "boolean", "readOnly": true }, "annotatorSelector": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector", "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run." }, "requestTime": { "type": "string", "readOnly": true, "format": "google-datetime", "description": "Output only. The time at which the analysis was requested." } }, "type": "object", "description": "The analysis resource.", "id": "GoogleCloudContactcenterinsightsV1alpha1Analysis" }, "GoogleCloudContactcenterinsightsV1alpha1AnalysisResult": { "type": "object", "description": "The result of an analysis.", "properties": { "endTime": { "type": "string", "description": "The time at which the analysis ended.", "format": "google-datetime" }, "callAnalysisMetadata": { "description": "Call-specific metadata created by the analysis.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisResultCallAnalysisMetadata" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AnalysisResult" }, "GoogleCloudContactcenterinsightsV1mainQueryPerformanceOverviewMetadata": { "type": "object", "description": "The metadata for querying performance overview.", "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainQueryPerformanceOverviewMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1EncryptionSpec": { "properties": { "name": { "type": "string", "description": "Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec" }, "satisfiesPzi": { "description": "Output only. Whether this resource is zone isolated.", "readOnly": true, "type": "boolean" }, "kmsKey": { "description": "Required. The name of customer-managed encryption key that is used to secure a resource and its sub-resources. If empty, the resource is secured by our default encryption key. Only the key in the same location as this resource is allowed to be used for encryption. Format: `projects/{project}/locations/{location}/keyRings/{keyRing}/cryptoKeys/{key}`", "type": "string" }, "satisfiesPzs": { "readOnly": true, "type": "boolean", "description": "Output only. Whether this resource is zone separated." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1EncryptionSpec", "description": "A customer-managed encryption key specification that can be applied to all created resources (e.g. `Conversation`).", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestConversationConfig": { "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestConversationConfig", "description": "Configuration that applies to all conversations.", "properties": { "agentId": { "type": "string", "description": "Optional. An opaque, user-specified string representing a human agent who handled all conversations in the import. Note that this will be overridden if per-conversation metadata is provided through the `metadata_bucket_uri`." }, "agentChannel": { "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed.", "type": "integer", "format": "int32" }, "customerChannel": { "type": "integer", "format": "int32", "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerateConversationSignedAudioResponse", "properties": { "signedAudioUris": { "description": "The signed uris for the audio.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SignedAudioUris" } }, "description": "The response from a GenerateConversationSignedAudio request." }, "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewMetadata": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewMetadata", "type": "object", "description": "The metadata for querying performance overview." }, "GoogleCloudContactcenterinsightsV1RuntimeAnnotation": { "id": "GoogleCloudContactcenterinsightsV1RuntimeAnnotation", "description": "An annotation that was generated during the customer and agent interaction.", "type": "object", "properties": { "dialogflowInteraction": { "$ref": "GoogleCloudContactcenterinsightsV1DialogflowInteractionData", "description": "Dialogflow interaction data." }, "faqAnswer": { "description": "Agent Assist FAQ answer data.", "$ref": "GoogleCloudContactcenterinsightsV1FaqAnswerData" }, "cesEndSessionAnnotation": { "description": "The CES end session annotation.", "$ref": "GoogleCloudContactcenterinsightsV1CesEndSessionAnnotation" }, "articleSuggestion": { "description": "Agent Assist Article Suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1ArticleSuggestionData" }, "endBoundary": { "description": "The boundary in the conversation where the annotation ends, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotationBoundary" }, "createTime": { "description": "The time at which this annotation was created.", "format": "google-datetime", "type": "string" }, "annotationId": { "description": "The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}", "type": "string" }, "conversationSummarizationSuggestion": { "description": "Conversation summarization suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionData" }, "startBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1AnnotationBoundary", "description": "The boundary in the conversation where the annotation starts, inclusive." }, "smartReply": { "$ref": "GoogleCloudContactcenterinsightsV1SmartReplyData", "description": "Agent Assist Smart Reply data." }, "answerFeedback": { "$ref": "GoogleCloudContactcenterinsightsV1AnswerFeedback", "description": "The feedback that the customer has about the answer in `data`." }, "smartComposeSuggestion": { "$ref": "GoogleCloudContactcenterinsightsV1SmartComposeSuggestionData", "description": "Agent Assist Smart Compose suggestion data." }, "cesTurnAnnotation": { "description": "The CES turn annotation.", "$ref": "GoogleCloudContactcenterinsightsV1CesTurnAnnotation" }, "userInput": { "description": "Explicit input used for generating the answer", "$ref": "GoogleCloudContactcenterinsightsV1RuntimeAnnotationUserInput" } } }, "GoogleCloudContactcenterinsightsV1alpha1QaAnswer": { "properties": { "answerSources": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerSource" }, "description": "Lists all answer sources containing one or more answer values of a specific source type, e.g., all system-generated answer sources, or all manual edit answer sources." }, "conversation": { "description": "The conversation the answer applies to.", "type": "string" }, "questionBody": { "type": "string", "description": "Question text. E.g., \"Did the agent greet the customer?\"" }, "tags": { "type": "array", "items": { "type": "string" }, "description": "User-defined list of arbitrary tags. Matches the value from QaScorecard.ScorecardQuestion.tags. Used for grouping/organization and for weighting the score of each answer." }, "qaQuestion": { "description": "The QaQuestion answered by this answer.", "type": "string" }, "answerValue": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue", "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead." } }, "description": "An answer to a QaQuestion.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaAnswer", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscript": { "id": "GoogleCloudContactcenterinsightsV1ConversationTranscript", "properties": { "transcriptSegments": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegment" }, "description": "A list of sequential transcript segments that comprise the conversation." } }, "type": "object", "description": "A message representing the transcript of a conversation." }, "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig", "properties": { "speechRecognizer": { "type": "string", "description": "The fully-qualified Speech Recognizer resource name. Format: `projects/{project_id}/locations/{location}/recognizer/{recognizer}`" }, "disableWordTimeOffsets": { "description": "Whether to disable word time offsets. If true, the `enable_word_time_offsets` field in the recognition config will be set to false.", "type": "boolean" } }, "description": "Speech-to-Text configuration. Speech-to-Text settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint.", "type": "object" }, "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfig": { "id": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfig", "properties": { "scorecardList": { "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorQaConfigScorecardList", "description": "A manual list of scorecards to score." } }, "type": "object", "description": "Configuration for the QA feature." }, "GoogleCloudContactcenterinsightsV1QaAnswerAnswerSource": { "id": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerSource", "description": "A question may have multiple answers from varying sources, one of which becomes the \"main\" answer above. AnswerSource represents each individual answer.", "type": "object", "properties": { "sourceType": { "type": "string", "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED", "MANUAL_EDIT" ], "enumDescriptions": [ "Source type is unspecified.", "Answer was system-generated; created during an Insights analysis.", "Answer was created by a human via manual edit." ], "description": "What created the answer." }, "answerValue": { "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead.", "$ref": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue" } } }, "GoogleCloudContactcenterinsightsV1ExportIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1ExportIssueModelMetadata", "description": "Metadata used for export issue model.", "properties": { "endTime": { "description": "The time the operation finished running.", "format": "google-datetime", "type": "string" }, "request": { "description": "The original export request.", "$ref": "GoogleCloudContactcenterinsightsV1ExportIssueModelRequest" }, "createTime": { "type": "string", "description": "The time the operation was created.", "format": "google-datetime" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1Issue": { "id": "GoogleCloudContactcenterinsightsV1Issue", "description": "The issue resource.", "type": "object", "properties": { "sampleUtterances": { "type": "array", "readOnly": true, "description": "Output only. Resource names of the sample representative utterances that match to this issue.", "items": { "type": "string" } }, "displayName": { "description": "The representative name for the issue.", "type": "string" }, "name": { "type": "string", "description": "Immutable. The resource name of the issue. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}" }, "updateTime": { "readOnly": true, "format": "google-datetime", "description": "Output only. The most recent time that this issue was updated.", "type": "string" }, "createTime": { "readOnly": true, "type": "string", "description": "Output only. The time at which this issue was created.", "format": "google-datetime" }, "displayDescription": { "description": "Representative description of the issue.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainDimension": { "id": "GoogleCloudContactcenterinsightsV1mainDimension", "type": "object", "description": "A dimension determines the grouping key for the query. In SQL terms, these would be part of both the \"SELECT\" and \"GROUP BY\" clauses.", "properties": { "issueDimensionMetadata": { "description": "Output only. Metadata about the issue dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionIssueDimensionMetadata", "readOnly": true }, "qaQuestionAnswerDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the QA question-answer dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionAnswerDimensionMetadata" }, "conversationProfileDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionConversationProfileDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the conversation profile dimension." }, "conversationalAgentsToolDimensionMetadata": { "description": "Output only. Metadata about the Conversational Agents tool dimension.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsToolDimensionMetadata" }, "clientSentimentCategoryDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the client sentiment category dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionClientSentimentCategoryDimensionMetadata" }, "dimensionKey": { "enumDescriptions": [ "The key of the dimension is unspecified.", "The dimension is keyed by issues.", "The dimension is keyed by issue names.", "The dimension is keyed by agents.", "The dimension is keyed by agent teams.", "The dimension is keyed by QaQuestionIds. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing stats for the same question across different scorecard revisions.", "The dimension is keyed by QaQuestionIds-Answer value pairs. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing distribution of answers per question across different scorecard revisions.", "The dimension is keyed by QaScorecardIds. Note that: We only group by the ScorecardId and not the revision-id of the scorecard. This allows for showing stats for the same scorecard across different revisions. This metric is mostly only useful if querying the average normalized score per scorecard.", "The dimension is keyed by the conversation profile ID.", "The dimension is keyed by the conversation medium.", "The dimension is keyed by the Conversational Agents playbook ID.", "The dimension is keyed by the Conversational Agents playbook display name.", "The dimension is keyed by the Conversational Agents tool ID.", "The dimension is keyed by the Conversational Agents tool display name.", "The dimension is keyed by the client sentiment category.", "The dimension is keyed by the agent version ID.", "The dimension is keyed by the agent deployment ID.", "The dimension is keyed by the supervisor ID of the assigned human supervisor for virtual agents.", "The dimension is keyed by label keys.", "The dimension is keyed by label values.", "The dimension is keyed by label key-value pairs.", "The dimension is keyed by the last transfer sub agent name." ], "type": "string", "description": "The key of the dimension.", "enum": [ "DIMENSION_KEY_UNSPECIFIED", "ISSUE", "ISSUE_NAME", "AGENT", "AGENT_TEAM", "QA_QUESTION_ID", "QA_QUESTION_ANSWER_VALUE", "QA_SCORECARD_ID", "CONVERSATION_PROFILE_ID", "MEDIUM", "CONVERSATIONAL_AGENTS_PLAYBOOK_ID", "CONVERSATIONAL_AGENTS_PLAYBOOK_NAME", "CONVERSATIONAL_AGENTS_TOOL_ID", "CONVERSATIONAL_AGENTS_TOOL_NAME", "CLIENT_SENTIMENT_CATEGORY", "AGENT_VERSION_ID", "AGENT_DEPLOYMENT_ID", "AGENT_ASSIST_SUPERVISOR_ID", "LABEL_KEY", "LABEL_VALUE", "LABEL_KEY_AND_VALUE", "LAST_TRANSFER_SUB_AGENT_NAME" ] }, "conversationalAgentsPlaybookDimensionMetadata": { "description": "Output only. Metadata about the Conversational Agents playbook dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsPlaybookDimensionMetadata", "readOnly": true }, "mediumDimensionMetadata": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionMediumDimensionMetadata", "description": "Output only. Metadata about the conversation medium dimension." }, "qaQuestionDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the QA question dimension.", "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionDimensionMetadata" }, "labelDimensionMetadata": { "description": "Output only. Metadata about conversation labels.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionLabelDimensionMetadata" }, "qaScorecardDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionQaScorecardDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the QA scorecard dimension." }, "agentDimensionMetadata": { "description": "Output only. Metadata about the agent dimension.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainDimensionAgentDimensionMetadata" } } }, "GoogleCloudContactcenterinsightsV1ExportIssueModelRequestGcsDestination": { "properties": { "objectUri": { "description": "Required. Format: `gs:///`", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1ExportIssueModelRequestGcsDestination", "description": "Google Cloud Storage Object URI to save the issue model to.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponse": { "type": "object", "description": "The response of testing correlation config.", "properties": { "partialErrors": { "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete.", "type": "array" }, "detailedResults": { "description": "Results for the DETAILED_SYNC execution mode.", "$ref": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponseDetailedCorrelationResults" } }, "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigResponse" }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadataDownloadStats": { "description": "Statistics for BulkDownloadFeedbackLabels operation.", "properties": { "processedObjectCount": { "description": "The number of objects processed during the download operation.", "type": "integer", "format": "int32" }, "successfulDownloadCount": { "format": "int32", "description": "The number of new feedback labels downloaded during this operation. Different from \"processed\" because some labels might not be downloaded because an error.", "type": "integer" }, "fileNames": { "description": "Output only. Full name of the files written to Cloud storage.", "items": { "type": "string" }, "type": "array", "readOnly": true }, "totalFilesWritten": { "description": "Total number of files written to the provided Cloud Storage bucket.", "format": "int32", "type": "integer" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadataDownloadStats" }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscript": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscript", "description": "The conversation transcript for the chart.", "properties": { "updateTime": { "type": "string", "readOnly": true, "format": "google-datetime", "description": "Output only. The update time of the conversation." }, "createTime": { "description": "Output only. The create time of the conversation.", "type": "string", "readOnly": true, "format": "google-datetime" }, "messages": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessage" }, "description": "Ordered list of messages, including user inputs and system responses.", "type": "array" }, "conversationId": { "type": "string", "description": "The conversation id of the chart." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsToolDimensionMetadata": { "properties": { "toolId": { "description": "Optional. The dialogflow tool ID.", "type": "string" }, "toolDisplayName": { "type": "string", "description": "Optional. The dialogflow tool display name." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsToolDimensionMetadata", "description": "Metadata about the Conversational Agents tool dimension." }, "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentsResponse": { "description": "The response of listing assessments.", "type": "object", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "assessments": { "description": "The assessments that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Assessment" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentsResponse" }, "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue": { "description": "Message for holding the value of a QaAnswer. QaQuestion.AnswerChoice defines the possible answer values for a question.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue", "properties": { "key": { "type": "string", "description": "A short string used as an identifier. Matches the value used in QaQuestion.AnswerChoice.key." }, "boolValue": { "description": "Boolean value.", "type": "boolean" }, "normalizedScore": { "description": "Output only. Normalized score of the questions. Calculated as score / potential_score.", "readOnly": true, "type": "number", "format": "double" }, "score": { "readOnly": true, "type": "number", "description": "Output only. Numerical score of the answer.", "format": "double" }, "naValue": { "description": "A value of \"Not Applicable (N/A)\". Should only ever be `true`.", "type": "boolean" }, "strValue": { "type": "string", "description": "String value." }, "numValue": { "description": "Numerical value.", "type": "number", "format": "double" }, "skipValue": { "description": "Output only. A value of \"Skip\". If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations. This would mean that the question was not evaluated.", "type": "boolean", "readOnly": true }, "potentialScore": { "readOnly": true, "format": "double", "type": "number", "description": "Output only. The maximum potential score of the question." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SampleRule": { "properties": { "sampleRow": { "format": "int64", "description": "Number of the conversations that we should sample based on the dimension.", "type": "string" }, "conversationFilter": { "description": "To specify the filter for the conversions that should apply this sample rule. An empty filter means this sample rule applies to all conversations.", "type": "string" }, "dimension": { "type": "string", "description": "Optional. Group by dimension to sample the conversation. If no dimension is provided, the sampling will be applied to the project level. Current supported dimensions is 'quality_metadata.agent_info.agent_id'." }, "samplePercentage": { "type": "number", "format": "double", "description": "Percentage of conversations that we should sample based on the dimension between [0, 100]." } }, "description": "Message for sampling conversations.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1SampleRule" }, "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsRequest": { "description": "The request to analyze conversations in bulk.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsRequest", "properties": { "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelector" }, "analysisPercentage": { "format": "float", "type": "number", "description": "Required. Percentage of selected conversation to analyze, between [0, 100]." }, "filter": { "type": "string", "description": "Required. Filter used to select the subset of conversations to analyze." }, "parent": { "description": "Required. The parent resource to create analyses in.", "type": "string" }, "relabel": { "description": "Optional. Deprecated: Use `annotator_selector.run_auto_labeling_annotator` instead. If true, the labeling rules will be re-evaluated for the conversations.", "deprecated": true, "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsResponse": { "description": "The response for a bulk analyze conversations operation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsResponse", "properties": { "successfulAnalysisCount": { "type": "integer", "description": "Count of successful analyses.", "format": "int32" }, "failedAnalysisCount": { "description": "Count of failed analyses.", "format": "int32", "type": "integer" } } }, "GoogleCloudContactcenterinsightsV1alpha1SmartComposeSuggestionData": { "id": "GoogleCloudContactcenterinsightsV1alpha1SmartComposeSuggestionData", "description": "Agent Assist Smart Compose suggestion data.", "type": "object", "properties": { "metadata": { "description": "Map that contains metadata about the Smart Compose suggestion and the document from which it originates.", "type": "object", "additionalProperties": { "type": "string" } }, "suggestion": { "description": "The content of the suggestion.", "type": "string" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "confidenceScore": { "format": "double", "description": "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).", "type": "number" } } }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTableRow": { "description": "A row in a table.", "properties": { "cells": { "description": "Optional. The cell values in the row.", "items": { "type": "string" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTableRow", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequest": { "type": "object", "properties": { "gcsSource": { "$ref": "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequestGcsSource", "description": "Google Cloud Storage source message." }, "createNewModel": { "description": "Optional. If set to true, will create an issue model from the imported file with randomly generated IDs for the issue model and corresponding issues. Otherwise, replaces an existing model with the same ID as the file.", "type": "boolean" }, "parent": { "description": "Required. The parent resource of the issue model.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequest", "description": "Request to import an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1SentimentData": { "type": "object", "properties": { "score": { "type": "number", "format": "float", "description": "The sentiment score between -1.0 (negative) and 1.0 (positive)." }, "magnitude": { "type": "number", "description": "A non-negative number from 0 to infinity which represents the absolute magnitude of sentiment regardless of score.", "format": "float" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SentimentData", "description": "The data for a sentiment annotation." }, "GoogleCloudContactcenterinsightsV1mainAnalysisResult": { "properties": { "endTime": { "description": "The time at which the analysis ended.", "type": "string", "format": "google-datetime" }, "callAnalysisMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1mainAnalysisResultCallAnalysisMetadata", "description": "Call-specific metadata created by the analysis." } }, "description": "The result of an analysis.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainAnalysisResult" }, "GoogleCloudContactcenterinsightsV1alpha1DialogflowInteractionData": { "id": "GoogleCloudContactcenterinsightsV1alpha1DialogflowInteractionData", "description": "Dialogflow interaction data.", "type": "object", "properties": { "dialogflowIntentId": { "description": "The Dialogflow intent resource path. Format: projects/{project}/agent/{agent}/intents/{intent}", "type": "string" }, "confidence": { "format": "float", "description": "The confidence of the match ranging from 0.0 (completely uncertain) to 1.0 (completely certain).", "type": "number" } } }, "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsResponse", "properties": {}, "description": "Response for the BulkDeleteFeedbackLabels endpoint." }, "GoogleCloudContactcenterinsightsV1ExportIssueModelRequest": { "description": "Request to export an issue model.", "properties": { "name": { "type": "string", "description": "Required. The issue model to export." }, "gcsDestination": { "$ref": "GoogleCloudContactcenterinsightsV1ExportIssueModelRequestGcsDestination", "description": "Google Cloud Storage URI to export the issue model to." } }, "id": "GoogleCloudContactcenterinsightsV1ExportIssueModelRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1IssueMatchData": { "type": "object", "description": "The data for an issue match annotation.", "properties": { "issueAssignment": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueAssignment", "description": "Information about the issue's assignment." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1IssueMatchData" }, "GoogleCloudContactcenterinsightsV1ConversationQualityMetadataAgentInfo": { "id": "GoogleCloudContactcenterinsightsV1ConversationQualityMetadataAgentInfo", "type": "object", "description": "Information about an agent involved in the conversation.", "properties": { "deploymentId": { "description": "The agent's deployment ID. Only applicable to automated agents.", "type": "string" }, "location": { "type": "string", "description": "The agent's location." }, "versionDisplayName": { "type": "string", "description": "The agent's version display name. Only applicable to automated agents." }, "entrySubagentId": { "type": "string", "description": "The entry subagent's ID." }, "entrySubagentDisplayName": { "type": "string", "description": "The entry subagent's display name." }, "displayName": { "description": "The agent's name.", "type": "string" }, "agentId": { "type": "string", "description": "A user-specified string representing the agent." }, "versionId": { "type": "string", "description": "The agent's version ID. Only applicable to automated agents." }, "teams": { "items": { "type": "string" }, "type": "array", "description": "User-specified strings representing the agent's teams." }, "studyArmId": { "description": "The study arm ID associated with the conversation. Only applicable to automated agents.", "type": "string" }, "dispositionCode": { "description": "A user-provided string indicating the outcome of the agent's segment of the call.", "type": "string" }, "agentType": { "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ], "type": "string", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "description": "The agent type, e.g. HUMAN_AGENT." }, "team": { "type": "string", "description": "A user-specified string representing the agent's team. Deprecated in favor of the `teams` field.", "deprecated": true }, "deploymentDisplayName": { "description": "The agent's deployment display name. Only applicable to automated agents.", "type": "string" }, "studyId": { "description": "The study ID associated with the conversation. Only applicable to automated agents.", "type": "string" } } }, "GoogleIamV1Policy": { "type": "object", "properties": { "auditConfigs": { "description": "Specifies cloud audit logging configuration for this policy.", "type": "array", "items": { "$ref": "GoogleIamV1AuditConfig" } }, "version": { "format": "int32", "type": "integer", "description": "Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies)." }, "bindings": { "type": "array", "items": { "$ref": "GoogleIamV1Binding" }, "description": "Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`." }, "etag": { "description": "`etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.", "type": "string", "format": "byte" } }, "id": "GoogleIamV1Policy", "description": "An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { \"bindings\": [ { \"role\": \"roles/resourcemanager.organizationAdmin\", \"members\": [ \"user:mike@example.com\", \"group:admins@example.com\", \"domain:google.com\", \"serviceAccount:my-project-id@appspot.gserviceaccount.com\" ] }, { \"role\": \"roles/resourcemanager.organizationViewer\", \"members\": [ \"user:eve@example.com\" ], \"condition\": { \"title\": \"expirable access\", \"description\": \"Does not grant access after Sep 2020\", \"expression\": \"request.time \u003c timestamp('2020-10-01T00:00:00.000Z')\", } } ], \"etag\": \"BwWWja0YfJA=\", \"version\": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time \u003c timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/)." }, "GoogleCloudContactcenterinsightsV1ImportIssueModelRequestGcsSource": { "description": "Google Cloud Storage Object URI to get the issue model file from.", "properties": { "objectUri": { "description": "Required. Format: `gs:///`", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1ImportIssueModelRequestGcsSource" }, "GoogleCloudContactcenterinsightsV1mainSilenceData": { "type": "object", "description": "The data for a silence annotation.", "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainSilenceData" }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPoint": { "description": "A data point contains the metric values mapped to an interval.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPoint", "properties": { "interval": { "description": "The interval that this data point represents. * If this is the total data point, the interval is [starting create time, ending create time) from the request. * If this a data point from the time series, the interval is [time, time + time granularity from the request).", "$ref": "GoogleTypeInterval" }, "conversationMeasure": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointConversationMeasure", "description": "The measure related to conversations." }, "dialogflowInteractionMeasure": { "description": "The measure related to dialogflow interactions.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPointDialogflowInteractionMeasure" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResultRuleConstraintResult": { "type": "object", "properties": { "error": { "description": "The error status if the constraint expression failed to evaluate.", "$ref": "GoogleRpcStatus" }, "constraintMet": { "type": "boolean", "description": "Whether the constraint expression evaluated to true for (A, B) or (B, A)." }, "ruleId": { "description": "The rule ID.", "type": "string" } }, "description": "The result of a single constraint rule on the pair of conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResultRuleConstraintResult" }, "GoogleCloudContactcenterinsightsV1IssueModelLabelStats": { "description": "Aggregated statistics about an issue model.", "type": "object", "properties": { "unclassifiedConversationsCount": { "type": "string", "format": "int64", "description": "Number of analyzed conversations for which no issue was applicable at this point in time." }, "analyzedConversationsCount": { "description": "Number of conversations the issue model has analyzed at this point in time.", "type": "string", "format": "int64" }, "issueStats": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1IssueModelLabelStatsIssueStats" }, "description": "Statistics on each issue. Key is the issue's resource name.", "type": "object" } }, "id": "GoogleCloudContactcenterinsightsV1IssueModelLabelStats" }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsRequest": { "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteFeedbackLabelsRequest", "description": "Request for the BulkDeleteFeedbackLabels endpoint.", "type": "object", "properties": { "filter": { "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" }, "parent": { "type": "string", "description": "Required. The parent resource for new feedback labels." } } }, "GoogleCloudContactcenterinsightsV1alpha1ListChartsResponse": { "description": "The response of listing charts.", "type": "object", "properties": { "nextPageToken": { "description": "The value returned by the last `ListChartsResponse`. This value indicates that this is a continuation of a prior `ListCharts` call and that the system should return the next page of data.", "type": "string" }, "charts": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Chart" }, "type": "array", "description": "The charts under the parent." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListChartsResponse" }, "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResult": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResult", "type": "object", "properties": { "ruleConstraintResults": { "type": "array", "description": "The results for each applicable constraint rule.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResultRuleConstraintResult" } }, "conversationB": { "description": "The second conversation resource name.", "type": "string" }, "conversationA": { "type": "string", "description": "The first conversation resource name." } }, "description": "The result of testing a constraint expression on a pair of conversations." }, "GoogleCloudContactcenterinsightsV1alpha1DeployQaScorecardRevisionRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1DeployQaScorecardRevisionRequest", "properties": {}, "type": "object", "description": "The request to deploy a QaScorecardRevision" }, "GoogleCloudContactcenterinsightsV1alpha1Assessment": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1Assessment", "properties": { "agentInfo": { "description": "Information about the agent the assessment is for.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationQualityMetadataAgentInfo" }, "createTime": { "type": "string", "description": "Output only. The time at which the assessment was created.", "format": "google-datetime", "readOnly": true }, "name": { "type": "string", "description": "Identifier. The resource name of the assessment. Format: projects/{project}/locations/{location}/conversations/{conversation}/assessments/{assessment}" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time at which the assessment was last updated." }, "state": { "type": "string", "enum": [ "STATE_UNSPECIFIED", "DRAFT", "PUBLISHED", "APPEALED", "FINALIZED" ], "enumDescriptions": [ "The state is unspecified. This value should not be used.", "The default state of all new assessments.", "The assessment has been published.", "The assessment has been appealed.", "The assessment has been finalized." ], "description": "Output only. The state of the assessment.", "readOnly": true } }, "description": "The assessment resource." }, "GoogleCloudContactcenterinsightsV1IssueModelResult": { "description": "Issue Modeling result on a conversation.", "properties": { "issueModel": { "description": "Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}", "type": "string" }, "issues": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1IssueAssignment" }, "description": "All the matched issues.", "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1IssueModelResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1UndeployIssueModelResponse": { "description": "The response to undeploy an issue model.", "properties": {}, "type": "object", "id": "GoogleCloudContactcenterinsightsV1UndeployIssueModelResponse" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartLinkPart": { "description": "A link part.", "properties": { "text": { "type": "string", "description": "Optional. Anchor or display text." }, "uri": { "description": "Optional. Target URI.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartLinkPart" }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestGcsDestination": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestGcsDestination", "properties": { "recordsPerFileCount": { "format": "int64", "description": "Optional. The number of records per file. Applicable for either format.", "type": "string" }, "objectUri": { "type": "string", "description": "Required. The Google Cloud Storage URI to write the feedback labels to. The file name will be used as a prefix for the files written to the bucket if the output needs to be split across multiple files, otherwise it will be used as is. The file extension will be appended to the file name based on the format selected. E.g. `gs://bucket_name/object_uri_prefix`" }, "format": { "description": "Required. File format in which the labels will be exported.", "enumDescriptions": [ "Unspecified format.", "CSV format. 1,000 labels are stored per CSV file by default.", "JSON format. 1 label stored per JSON file by default." ], "enum": [ "FORMAT_UNSPECIFIED", "CSV", "JSON" ], "type": "string" }, "addWhitespace": { "description": "Optional. Add whitespace to the JSON file. Makes easier to read, but increases file size. Only applicable for JSON format.", "type": "boolean" }, "alwaysPrintEmptyFields": { "description": "Optional. Always print fields with no presence. This is useful for printing fields that are not set, like implicit 0 value or empty lists/maps. Only applicable for JSON format.", "type": "boolean" } }, "description": "Google Cloud Storage Object details to write the feedback labels to." }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart": { "description": "A suggestion chips part.", "type": "object", "properties": { "chips": { "description": "Optional. List of suggestion chips.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartChip" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart" }, "GoogleCloudContactcenterinsightsV1mainConversationLevelSilence": { "description": "Conversation-level silence data.", "id": "GoogleCloudContactcenterinsightsV1mainConversationLevelSilence", "type": "object", "properties": { "silenceDuration": { "description": "Amount of time calculated to be in silence.", "format": "google-duration", "type": "string" }, "silencePercentage": { "type": "number", "description": "Percentage of the total conversation spent in silence.", "format": "float" } } }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestGcsSource": { "properties": { "audioBucketUri": { "type": "string", "description": "Optional. The Cloud Storage path to the conversation audio file. Note that: [1] Audio files will be transcribed if not already. [2] Audio files and transcript files must be in separate buckets / folders. [3] A source file and its corresponding audio file must share the same name to be properly ingested, E.g. `gs://bucket/transcript/conversation1.json` and `gs://bucket/audio/conversation1.mp3`." }, "bucketUri": { "type": "string", "description": "Optional. The Cloud Storage bucket containing source objects. Avoid passing this. Pass this through one of `transcript_bucket_uri` or `audio_bucket_uri`." }, "customMetadataKeys": { "items": { "type": "string" }, "description": "Optional. Custom keys to extract as conversation labels from metadata files in `metadata_bucket_uri`. Keys not included in this field will be ignored. Note that there is a limit of 100 labels per conversation.", "type": "array" }, "metadataBucketUri": { "description": "Optional. The Cloud Storage path to the conversation metadata. Note that: [1] Metadata files are expected to be in JSON format. [2] Metadata and source files (transcripts or audio) must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`.", "type": "string" }, "transcriptBucketUri": { "type": "string", "description": "Optional. The Cloud Storage path to the conversation transcripts. Note that: [1] Transcript files are expected to be in JSON format. [2] Transcript, audio, metadata files must be in separate buckets / folders. [3] A source file and its corresponding metadata file must share the same name to be properly ingested, E.g. `gs://bucket/audio/conversation1.mp3` and `gs://bucket/metadata/conversation1.json`." }, "bucketObjectType": { "enum": [ "BUCKET_OBJECT_TYPE_UNSPECIFIED", "TRANSCRIPT", "AUDIO" ], "enumDescriptions": [ "The object type is unspecified and will default to `TRANSCRIPT`.", "The object is a transcript.", "The object is an audio file." ], "type": "string", "description": "Optional. Specifies the type of the objects in `bucket_uri`. Avoid passing this. This is inferred from the `transcript_bucket_uri`, `audio_bucket_uri`." } }, "description": "Configuration for Cloud Storage bucket sources.", "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestGcsSource", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag": { "type": "object", "description": "A tag is a resource which aims to categorize a set of questions across multiple scorecards, e.g., \"Customer Satisfaction\",\"Billing\", etc.", "properties": { "displayName": { "description": "Required. A user-specified display name for the tag.", "type": "string" }, "satisfiesPzi": { "type": "boolean", "description": "Output only. Whether this resource is zone isolated.", "readOnly": true }, "qaQuestionIds": { "type": "array", "description": "Optional. The list of Scorecard Question IDs that the tag applies to. Each QaQuestionId is represented as a full resource name containing the Question ID. Lastly, Since a tag may not necessarily be referenced by any Scorecard Questions, we treat this field as optional.", "items": { "type": "string" } }, "createTime": { "description": "Output only. The time at which the question tag was created.", "type": "string", "readOnly": true, "format": "google-datetime" }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "type": "boolean", "readOnly": true }, "name": { "description": "Identifier. Resource name for the QaQuestionTag Format projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag} In the above format, the last segment, i.e., qa_question_tag, is a server-generated ID corresponding to the tag resource.", "type": "string" }, "updateTime": { "description": "Output only. The most recent time at which the question tag was updated.", "format": "google-datetime", "readOnly": true, "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartCitationPart": { "description": "A citation part.", "properties": { "sourceUri": { "type": "string", "description": "Optional. The cited source URI." }, "snippet": { "description": "Optional. Snippet of the cited text.", "type": "string" }, "sourceTitle": { "type": "string", "description": "Optional. The cited source title." } }, "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartCitationPart", "type": "object" }, "GoogleCloudContactcenterinsightsV1IssueModel": { "id": "GoogleCloudContactcenterinsightsV1IssueModel", "description": "The issue model resource.", "type": "object", "properties": { "updateTime": { "description": "Output only. The most recent time at which the issue model was updated.", "type": "string", "format": "google-datetime", "readOnly": true }, "displayName": { "description": "The representative name for the issue model.", "type": "string" }, "modelType": { "enumDescriptions": [ "Unspecified model type.", "Type V1.", "Type V2." ], "description": "Type of the model.", "enum": [ "MODEL_TYPE_UNSPECIFIED", "TYPE_V1", "TYPE_V2" ], "type": "string" }, "trainingStats": { "readOnly": true, "description": "Output only. Immutable. The issue model's label statistics on its training data.", "$ref": "GoogleCloudContactcenterinsightsV1IssueModelLabelStats" }, "inputDataConfig": { "description": "Configs for the input data that used to create the issue model.", "$ref": "GoogleCloudContactcenterinsightsV1IssueModelInputDataConfig" }, "languageCode": { "type": "string", "description": "Language of the model." }, "issueCount": { "format": "int64", "readOnly": true, "description": "Output only. Number of issues in this issue model.", "type": "string" }, "name": { "description": "Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}", "type": "string" }, "state": { "readOnly": true, "enumDescriptions": [ "Unspecified.", "Model is not deployed but is ready to deploy.", "Model is being deployed.", "Model is deployed and is ready to be used. A model can only be used in analysis if it's in this state.", "Model is being undeployed.", "Model is being deleted." ], "description": "Output only. State of the model.", "type": "string", "enum": [ "STATE_UNSPECIFIED", "UNDEPLOYED", "DEPLOYING", "DEPLOYED", "UNDEPLOYING", "DELETING" ] }, "createTime": { "format": "google-datetime", "readOnly": true, "description": "Output only. The time at which this issue model was created.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequest": { "properties": { "gcsDestination": { "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestGcsDestination", "description": "A cloud storage bucket destination." }, "maxDownloadCount": { "type": "integer", "format": "int32", "description": "Optional. Limits the maximum number of feedback labels that will be downloaded. The first `N` feedback labels will be downloaded." }, "templateQaScorecardId": { "type": "array", "description": "Optional. If set, a template for labeling conversations and scorecard questions will be created from the conversation_filter and the questions under the scorecard(s). The feedback label `filter` will be ignored.", "items": { "type": "string" } }, "filter": { "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" }, "parent": { "description": "Required. The parent resource for new feedback labels.", "type": "string" }, "feedbackLabelType": { "enumDescriptions": [ "Unspecified format", "Downloaded file will contain all Quality AI labels from the latest scorecard revision.", "Downloaded file will contain only Topic Modeling labels.", "Agent Assist Summarization labels." ], "type": "string", "enum": [ "FEEDBACK_LABEL_TYPE_UNSPECIFIED", "QUALITY_AI", "TOPIC_MODELING", "AGENT_ASSIST_SUMMARY" ], "description": "Optional. The type of feedback labels that will be downloaded." }, "conversationFilter": { "type": "string", "description": "Optional. Filter parent conversations to download feedback labels for. When specified, the feedback labels will be downloaded for the conversations that match the filter. If `template_qa_scorecard_id` is set, all the conversations that match the filter will be paired with the questions under the scorecard for labeling." }, "sheetsDestination": { "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestSheetsDestination", "description": "A sheets document destination." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequest", "description": "Request for the BulkDownloadFeedbackLabel endpoint." }, "GoogleCloudContactcenterinsightsV1Dataset": { "id": "GoogleCloudContactcenterinsightsV1Dataset", "properties": { "satisfiesPzi": { "type": "boolean", "description": "Output only. Whether this resource is zone isolated.", "readOnly": true }, "updateTime": { "format": "google-datetime", "description": "Output only. Dataset update time.", "readOnly": true, "type": "string" }, "displayName": { "type": "string", "description": "Display name for the dataaset" }, "description": { "description": "Dataset description.", "type": "string" }, "type": { "type": "string", "enum": [ "TYPE_UNSPECIFIED", "EVAL", "LIVE" ], "enumDescriptions": [ "Default value for unspecified.", "For evals only.", "Dataset with new conversations coming in regularly (Insights legacy conversations and AI trainer)" ], "description": "Dataset usage type." }, "createTime": { "description": "Output only. Dataset create time.", "format": "google-datetime", "type": "string", "readOnly": true }, "ttl": { "type": "string", "format": "google-duration", "description": "Optional. Option TTL for the dataset." }, "name": { "type": "string", "description": "Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}" }, "satisfiesPzs": { "readOnly": true, "type": "boolean", "description": "Output only. Whether this resource is zone separated." } }, "type": "object", "description": "Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)" }, "GoogleIamV1AuditLogConfig": { "properties": { "exemptedMembers": { "type": "array", "items": { "type": "string" }, "description": "Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members." }, "logType": { "type": "string", "enum": [ "LOG_TYPE_UNSPECIFIED", "ADMIN_READ", "DATA_WRITE", "DATA_READ" ], "enumDescriptions": [ "Default case. Should never be this.", "Admin reads. Example: CloudIAM getIamPolicy", "Data writes. Example: CloudSQL Users create", "Data reads. Example: CloudSQL Users list" ], "description": "The log type that this config enables." } }, "id": "GoogleIamV1AuditLogConfig", "type": "object", "description": "Provides the configuration for logging a type of permissions. Example: { \"audit_log_configs\": [ { \"log_type\": \"DATA_READ\", \"exempted_members\": [ \"user:jose@example.com\" ] }, { \"log_type\": \"DATA_WRITE\" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging." }, "GoogleCloudContactcenterinsightsV1alpha1GcsSource": { "description": "A Cloud Storage source of conversation data.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1GcsSource", "properties": { "transcriptUri": { "type": "string", "description": "Immutable. Cloud Storage URI that points to a file that contains the conversation transcript." }, "audioUris": { "items": { "type": "string" }, "description": "Immutable. Cloud Storage URIs that point to files that contain the conversation audio. Supports both single audio files and multi-leg session recordings (e.g., call transfers, rolling recording buffers).", "type": "array" }, "audioUri": { "description": "Immutable. Deprecated: Use `audio_uris` instead. Cloud Storage URI that points to a file that contains the conversation audio.", "deprecated": true, "type": "string" } } }, "GoogleCloudContactcenterinsightsV1RedactionConfig": { "description": "DLP resources used for redaction while ingesting conversations. DLP settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint or the Dialogflow / Agent Assist runtime integrations. When using Dialogflow / Agent Assist runtime integrations, redaction should be performed in Dialogflow / Agent Assist.", "type": "object", "properties": { "inspectTemplate": { "description": "The fully-qualified DLP inspect template resource name. Format: `projects/{project}/locations/{location}/inspectTemplates/{template}`", "type": "string" }, "deidentifyTemplate": { "description": "The fully-qualified DLP deidentify template resource name. Format: `projects/{project}/deidentifyTemplates/{template}`", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1RedactionConfig" }, "GoogleCloudContactcenterinsightsV1mainDimensionIssueDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainDimensionIssueDimensionMetadata", "description": "Metadata about the issue dimension.", "type": "object", "properties": { "issueId": { "type": "string", "description": "The issue ID." }, "issueDisplayName": { "description": "The issue display name.", "type": "string" }, "issueModelId": { "description": "The parent issue model ID.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscript": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscript", "description": "A message representing the transcript of a conversation.", "properties": { "transcriptSegments": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegment" }, "type": "array", "description": "A list of sequential transcript segments that comprise the conversation." } } }, "GoogleCloudContactcenterinsightsV1ListAllFeedbackLabelsResponse": { "id": "GoogleCloudContactcenterinsightsV1ListAllFeedbackLabelsResponse", "type": "object", "description": "The response for listing all feedback labels.", "properties": { "feedbackLabels": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1FeedbackLabel" }, "description": "The feedback labels that match the request.", "type": "array" }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTextPart": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTextPart", "type": "object", "properties": { "text": { "type": "string", "description": "Optional. The text content." } }, "description": "A text part." }, "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagRequest": { "type": "object", "description": "The request for updating a QaQuestionTag.", "properties": { "updateMask": { "type": "string", "format": "google-fieldmask", "description": "Optional. The list of fields to be updated. All possible fields can be updated by passing `*`, or a subset of the following updateable fields can be provided: * `qa_question_tag_name` - the name of the tag * `qa_question_ids` - the list of questions the tag applies to" }, "qaQuestionTag": { "description": "Required. The QaQuestionTag to update.", "$ref": "GoogleCloudContactcenterinsightsV1QaQuestionTag" } }, "id": "GoogleCloudContactcenterinsightsV1UpdateQaQuestionTagRequest" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest": { "type": "object", "description": "Request for the BulkDeleteFeedbackLabels endpoint.", "properties": { "filter": { "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" }, "parent": { "type": "string", "description": "Required. The parent resource for new feedback labels." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsRequest" }, "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector": { "properties": { "runSilenceAnnotator": { "type": "boolean", "description": "Whether to run the silence annotator." }, "runInterruptionAnnotator": { "type": "boolean", "description": "Whether to run the interruption annotator." }, "runSummarizationAnnotator": { "type": "boolean", "description": "Whether to run the summarization annotator." }, "summarizationConfig": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorSummarizationConfig", "description": "Configuration for the summarization annotator." }, "phraseMatchers": { "description": "The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}", "items": { "type": "string" }, "type": "array" }, "runQaAnnotator": { "description": "Whether to run the QA annotator.", "type": "boolean" }, "runSentimentAnnotator": { "description": "Whether to run the sentiment annotator.", "type": "boolean" }, "runPhraseMatcherAnnotator": { "type": "boolean", "description": "Whether to run the active phrase matcher annotator(s)." }, "runIntentAnnotator": { "type": "boolean", "description": "Whether to run the intent annotator." }, "runEntityAnnotator": { "type": "boolean", "description": "Whether to run the entity annotator." }, "issueModels": { "items": { "type": "string" }, "description": "The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.", "type": "array" }, "qaConfig": { "description": "Configuration for the QA annotator.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfig" }, "runAutoLabelingAnnotator": { "type": "boolean", "description": "Optional. Whether to run the auto-labeling annotator. If true, the auto-labeling annotator will be run. This is a non-billable operation designed for fixing or backfilling custom labels." }, "runIssueModelAnnotator": { "description": "Whether to run the issue model annotator. A model should have already been deployed for this to take effect.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector", "description": "Selector of all available annotators and phrase matchers to run.", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionLabelDimensionMetadata": { "description": "Metadata about conversation labels.", "properties": { "labelKey": { "type": "string", "description": "Optional. The label key." }, "labelValue": { "description": "Optional. The label value.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1DimensionLabelDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1FeedbackLabel": { "properties": { "labeledResource": { "type": "string", "description": "Name of the resource to be labeled. Supported resources are: * `projects/{project}/locations/{location}/qaScorecards/{scorecard}/revisions/{revision}/qaQuestions/{question}` * `projects/{project}/locations/{location}/issueModels/{issue_model}` * `projects/{project}/locations/{location}/generators/{generator_id}`" }, "updateTime": { "description": "Output only. Update time of the label.", "type": "string", "readOnly": true, "format": "google-datetime" }, "createTime": { "readOnly": true, "description": "Output only. Create time of the label.", "type": "string", "format": "google-datetime" }, "label": { "type": "string", "description": "String label used for Topic Modeling." }, "satisfiesPzs": { "type": "boolean", "description": "Output only. Whether this resource is zone separated.", "readOnly": true }, "satisfiesPzi": { "type": "boolean", "readOnly": true, "description": "Output only. Whether this resource is zone isolated." }, "qaAnswerLabel": { "$ref": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue", "description": "QaAnswer label used for Quality AI example conversations." }, "name": { "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}", "type": "string" } }, "description": "Represents a conversation, resource, and label provided by the user. Can take the form of a string label or a QaAnswer label. QaAnswer labels are used for Quality AI example conversations. String labels are used for Topic Modeling. AgentAssistSummary labels are used for Agent Assist Summarization.", "id": "GoogleCloudContactcenterinsightsV1FeedbackLabel", "type": "object" }, "GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadata": { "id": "GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadata", "type": "object", "properties": { "entities": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1Entity" }, "type": "object", "description": "All the entities in the call." }, "qaScorecardResults": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaScorecardResult" }, "description": "Results of scoring QaScorecards." }, "silence": { "description": "Overall conversation-level silence during the call.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationLevelSilence" }, "intents": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1Intent" }, "description": "All the matched intents in the call.", "type": "object" }, "sentiments": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationLevelSentiment" }, "description": "Overall conversation-level sentiment for each channel of the call." }, "annotations": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1CallAnnotation" }, "description": "A list of call annotations that apply to this call.", "type": "array" }, "phraseMatchers": { "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1PhraseMatchData" }, "description": "All the matched phrase matchers in the call." }, "issueModelResult": { "description": "Overall conversation-level issue modeling result.", "$ref": "GoogleCloudContactcenterinsightsV1IssueModelResult" } }, "description": "Call-specific metadata created during analysis." }, "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagMetadata", "description": "The metadata for updating a QaQuestionTag Resource.", "properties": { "endTime": { "readOnly": true, "format": "google-datetime", "description": "Output only. The time the operation finished running.", "type": "string" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1UpdateQaQuestionTagRequest", "description": "Output only. The original request.", "readOnly": true }, "createTime": { "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true, "type": "string" } } }, "GoogleCloudContactcenterinsightsV1ImportIssueModelRequest": { "properties": { "parent": { "type": "string", "description": "Required. The parent resource of the issue model." }, "createNewModel": { "description": "Optional. If set to true, will create an issue model from the imported file with randomly generated IDs for the issue model and corresponding issues. Otherwise, replaces an existing model with the same ID as the file.", "type": "boolean" }, "gcsSource": { "description": "Google Cloud Storage source message.", "$ref": "GoogleCloudContactcenterinsightsV1ImportIssueModelRequestGcsSource" } }, "description": "Request to import an issue model.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1ImportIssueModelRequest" }, "GoogleCloudContactcenterinsightsV1mainDimensionConversationProfileDimensionMetadata": { "type": "object", "properties": { "conversationProfileId": { "type": "string", "description": "Optional. The conversation profile ID." } }, "id": "GoogleCloudContactcenterinsightsV1mainDimensionConversationProfileDimensionMetadata", "description": "Metadata about the conversation profile dimension." }, "GoogleIamV1AuditConfig": { "description": "Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { \"audit_configs\": [ { \"service\": \"allServices\", \"audit_log_configs\": [ { \"log_type\": \"DATA_READ\", \"exempted_members\": [ \"user:jose@example.com\" ] }, { \"log_type\": \"DATA_WRITE\" }, { \"log_type\": \"ADMIN_READ\" } ] }, { \"service\": \"sampleservice.googleapis.com\", \"audit_log_configs\": [ { \"log_type\": \"DATA_READ\" }, { \"log_type\": \"DATA_WRITE\", \"exempted_members\": [ \"user:aliya@example.com\" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts `jose@example.com` from DATA_READ logging, and `aliya@example.com` from DATA_WRITE logging.", "properties": { "service": { "type": "string", "description": "Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services." }, "auditLogConfigs": { "items": { "$ref": "GoogleIamV1AuditLogConfig" }, "type": "array", "description": "The configuration for logging of each type of permission." } }, "id": "GoogleIamV1AuditConfig", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainAnalysisResultCallAnalysisMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainAnalysisResultCallAnalysisMetadata", "description": "Call-specific metadata created during analysis.", "properties": { "intents": { "description": "All the matched intents in the call.", "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainIntent" } }, "phraseMatchers": { "description": "All the matched phrase matchers in the call.", "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainPhraseMatchData" } }, "silence": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationLevelSilence", "description": "Overall conversation-level silence during the call." }, "entities": { "description": "All the entities in the call.", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainEntity" }, "type": "object" }, "annotations": { "description": "A list of call annotations that apply to this call.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainCallAnnotation" } }, "sentiments": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationLevelSentiment" }, "description": "Overall conversation-level sentiment for each channel of the call." }, "qaScorecardResults": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaScorecardResult" }, "description": "Results of scoring QaScorecards.", "type": "array" }, "issueModelResult": { "description": "Overall conversation-level issue modeling result.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModelResult" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart": { "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart", "description": "A thought part.", "properties": { "text": { "description": "Optional. The thought or reasoning text.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDeployIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainDeployIssueModelMetadata", "properties": { "createTime": { "type": "string", "description": "Output only. The time the operation was created.", "format": "google-datetime", "readOnly": true }, "endTime": { "readOnly": true, "type": "string", "description": "Output only. The time the operation finished running.", "format": "google-datetime" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1mainDeployIssueModelRequest", "description": "The original request for deployment." } }, "type": "object", "description": "Metadata for deploying an issue model." }, "GoogleCloudContactcenterinsightsV1SentimentData": { "properties": { "score": { "format": "float", "description": "The sentiment score between -1.0 (negative) and 1.0 (positive).", "type": "number" }, "magnitude": { "description": "A non-negative number from 0 to infinity which represents the absolute magnitude of sentiment regardless of score.", "type": "number", "format": "float" } }, "id": "GoogleCloudContactcenterinsightsV1SentimentData", "description": "The data for a sentiment annotation.", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsToolDimensionMetadata": { "properties": { "toolId": { "type": "string", "description": "Optional. The dialogflow tool ID." }, "toolDisplayName": { "type": "string", "description": "Optional. The dialogflow tool display name." } }, "description": "Metadata about the Conversational Agents tool dimension.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsToolDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestSheetsDestination": { "properties": { "spreadsheetUri": { "description": "Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA. The spreadsheet ID written to will be returned as `file_names` in the BulkDownloadFeedbackLabelsMetadata.", "type": "string" }, "sheetTitle": { "description": "Optional. The title of the new sheet to write the feedback labels to.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestSheetsDestination", "description": "Google Sheets document details to write the feedback labels to.", "type": "object" }, "GoogleCloudContactcenterinsightsV1QueryMetricsMetadata": { "type": "object", "description": "The metadata from querying metrics.", "id": "GoogleCloudContactcenterinsightsV1QueryMetricsMetadata", "properties": { "resultIsTruncated": { "description": "Whether the result rows were truncated because the result row size is too large to materialize.", "type": "boolean" } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversation": { "description": "The conversation used to generate the chart.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversation", "properties": { "createTime": { "type": "string", "description": "The create time of the conversation.", "format": "google-datetime" }, "messages": { "type": "array", "description": "Ordered list of messages, including user inputs and system responses.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessage" } }, "conversationId": { "description": "The conversation id of the chart.", "type": "string" }, "updateTime": { "format": "google-datetime", "description": "The update time of the conversation.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDialogflowIntent": { "type": "object", "description": "The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE.", "id": "GoogleCloudContactcenterinsightsV1mainDialogflowIntent", "properties": { "displayName": { "description": "The human-readable name of the intent.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult": { "description": "The percentile result. Currently supported percentiles are 50th, 90th, and 99th.", "properties": { "p90": { "format": "double", "description": "The 90th percentile value.", "type": "number" }, "p50": { "type": "number", "description": "The 50th percentile value.", "format": "double" }, "p99": { "format": "double", "description": "The 99th percentile value.", "type": "number" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasure": { "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasure", "type": "object", "description": "The measure related to conversations.", "properties": { "conversationAiCoachSuggestionRatio": { "format": "double", "description": "Proportion of conversations that has Ai Coach Suggestions.", "type": "number" }, "conversationalAgentsAverageTtsLatency": { "description": "The macro average latency of conversational agents' TTS latency per interaction. This is computed as the average of the all the interactions' TTS latencies in a conversation and averaged across conversations.", "type": "number", "format": "double" }, "summarizationSuggestionEditRatio": { "type": "number", "description": "Proportion of summarization suggestions that were manually edited.", "format": "double" }, "knowledgeAssistPositiveFeedbackRatio": { "type": "number", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had positive feedback.", "format": "double" }, "knowledgeSearchNegativeFeedbackRatio": { "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had negative feedback.", "type": "number", "format": "double" }, "knowledgeSearchSuggestedQuerySourceRatio": { "format": "double", "type": "number", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries suggested compared to the total number of knowledge search queries made." }, "aiCoachSuggestionAgentMessageTriggerCount": { "type": "integer", "format": "int32", "description": "Count of agent messages that triggered an Ai Coach Suggestion." }, "aiCoachSuggestionCustomerMessageTriggerRatio": { "description": "Proportion of customer messages that triggered an Ai Coach Suggestion.", "type": "number", "format": "double" }, "averageSummarizationSuggestionNormalizedEditDistance": { "type": "number", "format": "double", "description": "Normalized Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion. Normalized edit distance is the average of (edit distance / summary length)." }, "summarizationSuggestionResultCount": { "type": "integer", "description": "Count of summarization suggestions results.", "format": "int32" }, "dialogflowWebhookTimeoutRatio": { "format": "double", "type": "number", "description": "Proportion of dialogflow webhook calls that timed out." }, "dialogflowConversationsEscalationCount": { "description": "count of conversations that was handed off from virtual agent to human agent.", "format": "double", "type": "number" }, "knowledgeAssistNegativeFeedbackRatio": { "type": "number", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had negative feedback.", "format": "double" }, "knowledgeSearchPositiveFeedbackRatio": { "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had positive feedback.", "type": "number" }, "conversationalAgentsAverageEndToEndLatency": { "type": "number", "format": "double", "description": "The average latency of conversational agents' latency per interaction. This is computed as the average of the all the iteractions' end to end latencies in a conversation and averaged across conversations. The e2e latency is the time between the end of the user utterance and the start of the agent utterance on the interaction level." }, "averageSummarizationSuggestionEditDistance": { "type": "number", "format": "double", "description": "Average edit distance of the summarization suggestions. Edit distance (also called as levenshtein distance) is calculated by summing up number of insertions, deletions and substitutions required to transform the summization feedback to the original summary suggestion." }, "aaSupervisorAssignedConversationsCount": { "description": "The number of conversations that were assigned to an AA human supervisor.", "format": "int32", "type": "integer" }, "dialogflowInteractionsNoInputRatio": { "description": "Proportion of dialogflow interactions that has empty input.", "format": "double", "type": "number" }, "averageAgentSentimentScore": { "format": "float", "type": "number", "description": "The average agent's sentiment score." }, "averageCustomerSatisfactionRating": { "description": "The average customer satisfaction rating.", "format": "double", "type": "number" }, "dialogflowConversationsEscalationRatio": { "type": "number", "format": "double", "description": "Proportion of conversations that was handed off from virtual agent to human agent." }, "containedConversationCount": { "type": "integer", "format": "int32", "description": "The number of conversations that were contained." }, "aiCoachSuggestionAgentUsageRatio": { "description": "Proportion of Ai Coach Suggestion that has been used by agents.", "type": "number", "format": "double" }, "conversationSuggestedSummaryRatio": { "description": "Proportion of conversations that had a suggested summary.", "format": "double", "type": "number" }, "dialogflowInteractionsNoMatchRatio": { "description": "Proportion of dialogflow interactions that has no intent match for the input.", "type": "number", "format": "double" }, "averageDuration": { "format": "google-duration", "type": "string", "description": "The average duration." }, "aaSupervisorDroppedConversationsCount": { "format": "int32", "type": "integer", "description": "The number of conversations that were dropped, i.e. escalated but not assigned to an AA human supervisor." }, "conversationTotalCustomerMessageCount": { "type": "integer", "description": "The customer message count.", "format": "int32" }, "aiCoachSuggestionMessageTriggerRatio": { "type": "number", "format": "double", "description": "Proportion of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion." }, "dialogflowAverageWebhookLatency": { "description": "Average latency of dialogflow webhook calls.", "type": "number", "format": "double" }, "conversationalAgentsAverageAudioInAudioOutLatency": { "format": "double", "description": "The average latency of conversational agents' audio in audio out latency per interaction. This is computed as the average of the all the interactions' audio in audio out latencies in a conversation and averaged across conversations.", "type": "number" }, "knowledgeSearchResultCount": { "type": "integer", "description": "Count of knowledge search results (Generative Knowledge Assist) shown to the user.", "format": "int32" }, "knowledgeSearchAgentQuerySourceRatio": { "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries made by the agent compared to the total number of knowledge search queries made.", "type": "number" }, "averageQaQuestionNormalizedScore": { "type": "number", "format": "double", "description": "Average QA normalized score averaged for questions averaged across all revisions of the parent scorecard. Will be only populated if the request specifies a dimension of QA_QUESTION_ID." }, "aiCoachSuggestionCustomerMessageTriggerCount": { "description": "Count of customer messages that triggered an Ai Coach Suggestion.", "format": "int32", "type": "integer" }, "aaSupervisorMonitoredConversationsCount": { "format": "int32", "description": "The number of conversations scanned by the AA human supervisor.", "type": "integer" }, "conversationAiCoachSuggestionCount": { "type": "integer", "description": "Count of conversations that has Ai Coach Suggestions.", "format": "int32" }, "aaSupervisorTransferredToHumanAgentConvCount": { "format": "int32", "description": "The number of conversations transferred to a human agent.", "type": "integer" }, "knowledgeAssistUriClickRatio": { "format": "double", "description": "Proportion of knowledge assist (Proactive Generative Knowledge Assist) queries that had a URL clicked.", "type": "number" }, "conversationTotalAgentMessageCount": { "type": "integer", "description": "The agent message count.", "format": "int32" }, "avgConversationClientTurnSentimentEma": { "format": "double", "type": "number", "description": "The exponential moving average of the sentiment score of client turns in the conversation." }, "knowledgeSearchUriClickRatio": { "type": "number", "format": "double", "description": "Proportion of knowledge search (Generative Knowledge Assist) queries that had a URL clicked." }, "averageQaNormalizedScore": { "type": "number", "description": "The average normalized QA score for a scorecard. When computing the average across a set of conversations, if a conversation has been evaluated with multiple revisions of a scorecard, only the latest revision results will be used. Will exclude 0's in average calculation. Will be only populated if the request specifies a dimension of QA_SCORECARD_ID.", "format": "double" }, "dialogflowWebhookFailureRatio": { "format": "double", "description": "Proportion of dialogflow webhook calls that failed.", "type": "number" }, "averageClientSentimentScore": { "format": "float", "type": "number", "description": "The average client's sentiment score." }, "averageTurnCount": { "type": "number", "format": "float", "description": "The average turn count." }, "knowledgeAssistResultCount": { "description": "Count of knowledge assist results (Proactive Generative Knowledge Assist) shown to the user.", "format": "int32", "type": "integer" }, "aiCoachSuggestionMessageTriggerCount": { "type": "integer", "description": "Count of end_of_utterance trigger event messages that triggered an Ai Coach Suggestion.", "format": "int32" }, "containedConversationRatio": { "format": "double", "description": "The percentage of conversations that were contained.", "type": "number" }, "averageSilencePercentage": { "type": "number", "format": "float", "description": "The average silence percentage." }, "aiCoachSuggestionAgentUsageCount": { "format": "int32", "type": "integer", "description": "Count of Ai Coach Suggestion that has been used by agents." }, "aaSupervisorEscalatedConversationsCount": { "format": "int32", "description": "The number of conversations that were escalated to an AA human supervisor for intervention.", "type": "integer" }, "qaTagScores": { "description": "Average QA normalized score for all the tags.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore" }, "type": "array" }, "conversationalAgentsAverageLlmCallLatency": { "description": "The average latency of conversational agents' LLM call latency per interaction. This is computed as the average of the all the interactions LLM call latencies in a conversation and averaged across conversations.", "type": "number", "format": "double" }, "conversationCount": { "format": "int32", "type": "integer", "description": "The conversation count." } } }, "GoogleCloudContactcenterinsightsV1UndeployIssueModelMetadata": { "type": "object", "properties": { "createTime": { "type": "string", "description": "Output only. The time the operation was created.", "format": "google-datetime", "readOnly": true }, "endTime": { "type": "string", "readOnly": true, "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "request": { "description": "The original request for undeployment.", "$ref": "GoogleCloudContactcenterinsightsV1UndeployIssueModelRequest" } }, "id": "GoogleCloudContactcenterinsightsV1UndeployIssueModelMetadata", "description": "Metadata for undeploying an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequestGcsDestination": { "properties": { "objectUri": { "type": "string", "description": "Required. Format: `gs:///`" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelRequestGcsDestination", "description": "Google Cloud Storage Object URI to save the issue model to.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest": { "type": "object", "description": "The request to sample conversations to a dataset.", "properties": { "sampleRule": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleRule", "description": "Optional. The sample rule used for sampling conversations." }, "destinationDataset": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset", "description": "The dataset resource to copy the sampled conversations to." }, "parent": { "description": "Required. The parent resource of the dataset.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest" }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestion": { "description": "A single question to be scored by the Insights QA feature.", "properties": { "tags": { "type": "array", "items": { "type": "string" }, "description": "Questions are tagged for categorization and scoring. Tags can either be: - Default Tags: These are predefined categories. They are identified by their string value (e.g., \"BUSINESS\", \"COMPLIANCE\", and \"CUSTOMER\"). - Custom Tags: These are user-defined categories. They are identified by their full resource name (e.g., projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag}). Both default and custom tags are used to group questions and to influence the scoring of each question." }, "answerInstructions": { "type": "string", "description": "Instructions describing how to determine the answer." }, "updateTime": { "format": "google-datetime", "type": "string", "description": "Output only. The most recent time at which the question was updated.", "readOnly": true }, "qaQuestionDataOptions": { "description": "Options for configuring the data used to generate the QA question.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionQaQuestionDataOptions" }, "questionBody": { "type": "string", "description": "Question text. E.g., \"Did the agent greet the customer?\"" }, "satisfiesPzi": { "description": "Output only. Whether this resource is zone isolated.", "readOnly": true, "type": "boolean" }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "readOnly": true, "type": "boolean" }, "questionType": { "type": "string", "enum": [ "QA_QUESTION_TYPE_UNSPECIFIED", "CUSTOMIZABLE", "PREDEFINED" ], "enumDescriptions": [ "The type of the question is unspecified.", "The default question type. The question is fully customizable by the user.", "The question type is using a predefined model provided by CCAI teams. Users are not allowed to edit the question_body, answer_choices, upload feedback labels for the question nor fine-tune the question. However, users may edit other fields like question tags, question order, etc." ], "description": "The type of question." }, "predefinedQuestionConfig": { "description": "The configuration of the predefined question. This field will only be set if the Question Type is predefined.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionPredefinedQuestionConfig" }, "name": { "type": "string", "description": "Identifier. The resource name of the question. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}/revisions/{revision}/qaQuestions/{qa_question}" }, "tuningMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTuningMetadata", "description": "Metadata about the tuning operation for the question.This field will only be populated if and only if the question is part of a scorecard revision that has been tuned." }, "abbreviation": { "type": "string", "description": "Short, descriptive string, used in the UI where it's not practical to display the full question body. E.g., \"Greeting\"." }, "metrics": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionMetrics", "description": "Metrics of the underlying tuned LLM over a holdout/test set while fine tuning the underlying LLM for the given question. This field will only be populated if and only if the question is part of a scorecard revision that has been tuned." }, "order": { "format": "int32", "type": "integer", "description": "Defines the order of the question within its parent scorecard revision." }, "answerChoices": { "type": "array", "description": "A list of valid answers to the question, which the LLM must choose from.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionAnswerChoice" } }, "createTime": { "format": "google-datetime", "description": "Output only. The time at which this question was created.", "readOnly": true, "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestion" }, "GoogleCloudCesV1mainAgentTransfer": { "id": "GoogleCloudCesV1mainAgentTransfer", "description": "Represents an event indicating the transfer of a conversation to a different agent.", "type": "object", "properties": { "targetAgent": { "description": "Required. The agent to which the conversation is being transferred. The agent will handle the conversation from this point forward. Format: `projects/{project}/locations/{location}/apps/{app}/agents/{agent}`", "type": "string" }, "displayName": { "type": "string", "description": "Output only. Display name of the agent.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainConversationParticipant": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConversationParticipant", "properties": { "dialogflowParticipant": { "description": "Deprecated. Use `dialogflow_participant_name` instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}", "deprecated": true, "type": "string" }, "userId": { "type": "string", "description": "A user-specified ID representing the participant." }, "role": { "type": "string", "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ], "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "description": "The role of the participant." }, "dialogflowParticipantName": { "description": "The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}", "type": "string" }, "obfuscatedExternalUserId": { "description": "Obfuscated user ID from Dialogflow.", "type": "string" } }, "description": "The call participant speaking for a given utterance." }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata": { "description": "Metadata from Dialogflow relating to the current transcript segment.", "type": "object", "properties": { "smartReplyAllowlistCovered": { "description": "Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegment": { "description": "A segment of a full transcript.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegment", "properties": { "text": { "description": "The text of this segment.", "type": "string" }, "sentiment": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData", "description": "The sentiment for this transcript segment." }, "channelTag": { "description": "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.", "format": "int32", "type": "integer" }, "dialogflowSegmentMetadata": { "description": "CCAI metadata relating to the current transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata" }, "segmentParticipant": { "description": "The participant of this segment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationParticipant" }, "words": { "type": "array", "description": "A list of the word-specific information for each word in the segment.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentWordInfo" } }, "parts": { "description": "Optional. The structured parts that make up this transcript segment.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPart" }, "type": "array" }, "messageTime": { "description": "The time that the message occurred, if provided.", "format": "google-datetime", "type": "string" }, "languageCode": { "description": "The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: \"en-US\".", "type": "string" }, "confidence": { "description": "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.", "format": "float", "type": "number" }, "turnLevelAudio": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio", "description": "Turn level audio for this transcript segment." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationCorrelationResultRuleCorrelationResult": { "description": "The result of a single correlation rule.", "properties": { "correlationId": { "type": "string", "description": "The correlation ID generated by the join key expression." }, "error": { "$ref": "GoogleRpcStatus", "description": "The error status if the join key expression failed to evaluate." }, "ruleId": { "description": "The rule ID.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationCorrelationResultRuleCorrelationResult" }, "GoogleCloudContactcenterinsightsV1DimensionQaQuestionDimensionMetadata": { "description": "Metadata about the QA question dimension.", "properties": { "qaQuestionId": { "type": "string", "description": "Optional. The QA question ID." }, "questionBody": { "type": "string", "description": "Optional. The full body of the question." }, "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1DimensionQaQuestionDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1TestAutoLabelingRuleRequest", "properties": { "autoLabelingRule": { "description": "Required. The auto labeling rule to test.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" }, "conversation": { "description": "Required. Conversation data to test rules against.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" } }, "description": "The request message for testing auto labeling rules.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewResponse", "properties": { "summaryText": { "type": "string", "description": "The summary text of the performance." } }, "description": "The response for querying performance overview." }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest": { "properties": { "gcsSource": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestGcsSource", "description": "A cloud storage bucket source. Note that any previously ingested objects from the source will be skipped to avoid duplication." }, "sampleSize": { "description": "Optional. If set, this fields indicates the number of objects to ingest from the Cloud Storage bucket. If empty, the entire bucket will be ingested. Unless they are first deleted, conversations produced through sampling won't be ingested by subsequent ingest requests.", "type": "integer", "format": "int32" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig" }, "speechConfig": { "description": "Optional. Default Speech-to-Text configuration. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig" }, "transcriptObjectConfig": { "description": "Configuration for when `source` contains conversation transcripts.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestTranscriptObjectConfig" }, "conversationConfig": { "description": "Configuration that applies to all conversations.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestConversationConfig" }, "parent": { "type": "string", "description": "Required. The parent resource for new conversations." } }, "type": "object", "description": "The request to ingest conversations.", "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest" }, "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResult": { "id": "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResult", "type": "object", "description": "The result of testing a constraint expression on a pair of conversations.", "properties": { "conversationA": { "type": "string", "description": "The first conversation resource name." }, "conversationB": { "description": "The second conversation resource name.", "type": "string" }, "ruleConstraintResults": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResultRuleConstraintResult" }, "description": "The results for each applicable constraint rule.", "type": "array" } } }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata": { "description": "Metadata from Dialogflow relating to the current transcript segment.", "properties": { "smartReplyAllowlistCovered": { "type": "boolean", "description": "Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata" }, "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadataSampleConversationsStats": { "type": "object", "description": "Statistics for SampleConversations operation.", "properties": { "successfulSampleCount": { "type": "integer", "readOnly": true, "format": "int32", "description": "Output only. The number of new conversations added during this sample operation." }, "failedSampleCount": { "format": "int32", "type": "integer", "description": "Output only. The number of objects which were unable to be sampled due to errors. The errors are populated in the partial_errors field.", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadataSampleConversationsStats" }, "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecMetadata": { "type": "object", "description": "Metadata for initializing a location-level encryption specification.", "properties": { "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "format": "google-datetime", "readOnly": true, "type": "string", "description": "Output only. The time the operation finished running." }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecRequest", "description": "Output only. The original request for initialization.", "readOnly": true }, "partialErrors": { "description": "Partial errors during initializing operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecMetadata" }, "GoogleCloudContactcenterinsightsV1DimensionAgentDimensionMetadata": { "description": "Metadata about the agent dimension.", "id": "GoogleCloudContactcenterinsightsV1DimensionAgentDimensionMetadata", "type": "object", "properties": { "agentVersionDisplayName": { "type": "string", "description": "Optional. The agent's version display name. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions." }, "agentVersionId": { "description": "Optional. The agent's version ID. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentTeam": { "type": "string", "description": "Optional. A user-specified string representing the agent's team." }, "agentDisplayName": { "description": "Optional. The agent's name This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentId": { "description": "Optional. The agent's deployment ID. Only applicable to automated agents. This will be populated for AGENT and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentDisplayName": { "description": "Optional. The agent's deployment display name. Only applicable to automated agents. This will be populated for AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentId": { "type": "string", "description": "Optional. A user-specified string representing the agent. This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions." } } }, "GoogleCloudContactcenterinsightsV1QaQuestionTag": { "properties": { "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "readOnly": true, "type": "boolean" }, "name": { "description": "Identifier. Resource name for the QaQuestionTag Format projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag} In the above format, the last segment, i.e., qa_question_tag, is a server-generated ID corresponding to the tag resource.", "type": "string" }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. The most recent time at which the question tag was updated.", "readOnly": true }, "displayName": { "description": "Required. A user-specified display name for the tag.", "type": "string" }, "satisfiesPzi": { "readOnly": true, "description": "Output only. Whether this resource is zone isolated.", "type": "boolean" }, "qaQuestionIds": { "type": "array", "items": { "type": "string" }, "description": "Optional. The list of Scorecard Question IDs that the tag applies to. Each QaQuestionId is represented as a full resource name containing the Question ID. Lastly, Since a tag may not necessarily be referenced by any Scorecard Questions, we treat this field as optional." }, "createTime": { "format": "google-datetime", "type": "string", "description": "Output only. The time at which the question tag was created.", "readOnly": true } }, "description": "A tag is a resource which aims to categorize a set of questions across multiple scorecards, e.g., \"Customer Satisfaction\",\"Billing\", etc.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1QaQuestionTag" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponseTextOutput": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponseTextOutput", "description": "Wrapper for text output.", "type": "object", "properties": { "text": { "items": { "type": "string" }, "type": "array", "description": "The text output from the LLM." }, "textType": { "description": "The type of text output.", "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "type": "string", "enumDescriptions": [ "The type is unspecified.", "The text is part of LLM reasoning.", "The text is the final answer from LLM.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ] } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTableRow": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTableRow", "type": "object", "description": "A row in a table.", "properties": { "cells": { "items": { "type": "string" }, "description": "Optional. The cell values in the row.", "type": "array" } } }, "GoogleCloudContactcenterinsightsV1alpha1IssueModelResult": { "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModelResult", "type": "object", "properties": { "issues": { "description": "All the matched issues.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueAssignment" } }, "issueModel": { "description": "Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}", "type": "string" } }, "description": "Issue Modeling result on a conversation." }, "GoogleCloudContactcenterinsightsV1alpha1NoteQaQuestionNote": { "properties": { "qaQuestion": { "type": "string", "description": "The question resource that the note is associated with." } }, "description": "A note about a QA question.", "id": "GoogleCloudContactcenterinsightsV1alpha1NoteQaQuestionNote", "type": "object" }, "GoogleCloudContactcenterinsightsV1HoldData": { "id": "GoogleCloudContactcenterinsightsV1HoldData", "description": "The data for a hold annotation.", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsResponse": { "type": "object", "description": "The response for a bulk delete conversations operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsResponse", "properties": {} }, "GoogleCloudContactcenterinsightsV1IngestConversationsRequestTranscriptObjectConfig": { "type": "object", "properties": { "medium": { "type": "string", "description": "Required. The medium transcript objects represent.", "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ] } }, "description": "Configuration for processing transcript objects.", "id": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestTranscriptObjectConfig" }, "GoogleCloudCesV1mainToolResponse": { "id": "GoogleCloudCesV1mainToolResponse", "description": "The execution result of a specific tool from the client or the agent.", "type": "object", "properties": { "tool": { "type": "string", "description": "Optional. The name of the tool to execute. Format: `projects/{project}/locations/{location}/apps/{app}/tools/{tool}`" }, "id": { "type": "string", "description": "Optional. The matching ID of the tool call the response is for." }, "agentName": { "description": "Output only. Human-readable name of the agent that issued this call, e.g. \"Contract Architect\". Empty when the root agent issued it.", "type": "string", "readOnly": true }, "parentToolCallId": { "description": "Output only. The id of the tool call that caused this one, when it was issued by a sub-agent working on behalf of a parent call. Empty for top-level calls. Lets a client group a sub-agent's work under the call that started it instead of rendering every step as a sibling.", "readOnly": true, "type": "string" }, "displayName": { "description": "Output only. Display name of the tool.", "readOnly": true, "type": "string" }, "response": { "description": "Required. The tool execution result in JSON object format. Use \"output\" key to specify tool response and \"error\" key to specify error details (if any). If \"output\" and \"error\" keys are not specified, then whole \"response\" is treated as tool execution result.", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "targetApp": { "description": "Output only. The app the executed tool targeted; mirrors ToolCall.target_app.", "type": "string", "readOnly": true }, "toolsetTool": { "$ref": "GoogleCloudCesV1mainToolsetTool", "description": "Optional. The toolset tool that got executed." } } }, "GoogleCloudContactcenterinsightsV1mainSampleConversationsResponse": { "type": "object", "properties": {}, "description": "The response to an SampleConversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainSampleConversationsResponse" }, "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestSheetsSource": { "properties": { "spreadsheetUri": { "description": "Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1BulkUploadFeedbackLabelsRequestSheetsSource", "type": "object", "description": "Google Sheets document details to get the feedback label file from." }, "GoogleCloudContactcenterinsightsV1alpha1Note": { "id": "GoogleCloudContactcenterinsightsV1alpha1Note", "description": "The conversation assessment note resource.", "properties": { "name": { "description": "Identifier. The resource name of the note. Format: projects/{project}/locations/{location}/conversations/{conversation}/assessments/{assessment}/notes/{note}", "type": "string" }, "createTime": { "description": "Output only. The time at which the note was created.", "format": "google-datetime", "readOnly": true, "type": "string" }, "updateTime": { "readOnly": true, "description": "Output only. The time at which the note was last updated.", "type": "string", "format": "google-datetime" }, "noteCreator": { "readOnly": true, "description": "Output only. The user that created the note.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1UserInfo" }, "content": { "type": "string", "description": "The note content." }, "assessmentNote": { "description": "The note is associated to the entire parent assessment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1NoteAssessmentNote" }, "qaQuestionNote": { "description": "The note is associated with a QA question in one of the conversation's scorecard results.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1NoteQaQuestionNote" }, "conversationTurnNote": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1NoteConversationTurnNote", "description": "The note is associated with a conversation turn." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagMetadata", "properties": { "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "endTime": { "type": "string", "description": "Output only. The time the operation finished running.", "format": "google-datetime", "readOnly": true }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagRequest", "readOnly": true, "description": "Output only. The original request." } }, "description": "The metadata for deleting a QaQuestionTag Resource." }, "GoogleCloudContactcenterinsightsV1alpha1ListAllFeedbackLabelsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListAllFeedbackLabelsResponse", "description": "The response for listing all feedback labels.", "type": "object", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "feedbackLabels": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "description": "The feedback labels that match the request.", "type": "array" } } }, "GoogleCloudContactcenterinsightsV1ConversationCorrelationInfo": { "id": "GoogleCloudContactcenterinsightsV1ConversationCorrelationInfo", "description": "Info for correlating across conversations.", "properties": { "correlationTypes": { "readOnly": true, "type": "array", "description": "Output only. The correlation types of this conversation. A single conversation can have multiple correlation types. For example a conversation that only has a single segment is both a SEGMENT and a FULL_CONVERSATION.", "items": { "enumDescriptions": [ "Default value for unspecified.", "This conversation represents a segment of a full conversation. The lowest level of granularity.", "This conversation represents a partial conversation of potentially multiple segments but is not a full conversation.", "This conversation represents a full conversation of potentially multiple segments.", "This conversation represents a synthetic conversation." ], "enum": [ "CORRELATION_TYPE_UNSPECIFIED", "SEGMENT", "PARTIAL", "FULL", "SYNTHETIC" ], "type": "string" } }, "fullConversationCorrelationId": { "readOnly": true, "description": "Output only. The full conversation correlation id this conversation is a segment of.", "type": "string" }, "mergedFullConversationCorrelationId": { "type": "string", "readOnly": true, "description": "Output only. The full conversation correlation id this conversation is a merged conversation of." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1CreateAnalysisOperationMetadata": { "type": "object", "description": "Metadata for a create analysis operation.", "id": "GoogleCloudContactcenterinsightsV1CreateAnalysisOperationMetadata", "properties": { "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The time the operation was created." }, "conversation": { "readOnly": true, "description": "Output only. The Conversation that this Analysis Operation belongs to.", "type": "string" }, "annotatorSelector": { "description": "Output only. The annotator selector used for the analysis (if any).", "$ref": "GoogleCloudContactcenterinsightsV1AnnotatorSelector", "readOnly": true }, "endTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The time the operation finished running." } } }, "GoogleCloudContactcenterinsightsV1mainCreateAnalysisOperationMetadata": { "description": "Metadata for a create analysis operation.", "id": "GoogleCloudContactcenterinsightsV1mainCreateAnalysisOperationMetadata", "type": "object", "properties": { "createTime": { "type": "string", "readOnly": true, "format": "google-datetime", "description": "Output only. The time the operation was created." }, "endTime": { "type": "string", "format": "google-datetime", "readOnly": true, "description": "Output only. The time the operation finished running." }, "conversation": { "readOnly": true, "type": "string", "description": "Output only. The Conversation that this Analysis Operation belongs to." }, "annotatorSelector": { "description": "Output only. The annotator selector used for the analysis (if any).", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessages": { "properties": { "systemMessages": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessage" }, "description": "A message from the system in response to the user.", "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessages", "description": "A wrapper for system messages per turn.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadata": { "description": "Metadata for the BulkDownloadFeedbackLabel endpoint.", "properties": { "downloadStats": { "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadataDownloadStats", "description": "Output only. Statistics for BulkDownloadFeedbackLabels operation.", "readOnly": true }, "partialErrors": { "type": "array", "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during ingest operation that might cause the operation output to be incomplete." }, "createTime": { "description": "Output only. The time the operation was created.", "format": "google-datetime", "type": "string", "readOnly": true }, "endTime": { "description": "Output only. The time the operation finished running.", "readOnly": true, "format": "google-datetime", "type": "string" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequest", "readOnly": true, "description": "Output only. The original request for download." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadata" }, "GoogleCloudContactcenterinsightsV1mainEntityMentionData": { "properties": { "type": { "enumDescriptions": [ "Unspecified.", "Proper noun.", "Common noun (or noun compound)." ], "type": "string", "enum": [ "MENTION_TYPE_UNSPECIFIED", "PROPER", "COMMON" ], "description": "The type of the entity mention." }, "sentiment": { "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData", "description": "Sentiment expressed for this mention of the entity." }, "entityUniqueId": { "description": "The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainEntityMentionData", "description": "The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation." }, "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadata": { "properties": { "createTime": { "format": "google-datetime", "type": "string", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "format": "google-datetime", "description": "Output only. The time the operation finished running.", "type": "string", "readOnly": true }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1mainSampleConversationsRequest", "description": "Output only. The original request for sample conversations to dataset.", "readOnly": true }, "sampleConversationsStats": { "$ref": "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadataSampleConversationsStats", "description": "Output only. Statistics for SampleConversations operation.", "readOnly": true }, "partialErrors": { "items": { "$ref": "GoogleRpcStatus" }, "type": "array", "readOnly": true, "description": "Output only. Partial errors during sample conversations operation that might cause the operation output to be incomplete." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainSampleConversationsMetadata", "description": "The metadata for an SampleConversations operation." }, "GoogleCloudContactcenterinsightsV1InterruptionData": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1InterruptionData", "description": "The data for an interruption annotation.", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainSpeechConfig": { "properties": { "disableWordTimeOffsets": { "type": "boolean", "description": "Whether to disable word time offsets. If true, the `enable_word_time_offsets` field in the recognition config will be set to false." }, "speechRecognizer": { "type": "string", "description": "The fully-qualified Speech Recognizer resource name. Format: `projects/{project_id}/locations/{location}/recognizer/{recognizer}`" } }, "id": "GoogleCloudContactcenterinsightsV1mainSpeechConfig", "description": "Speech-to-Text configuration. Speech-to-Text settings are applied to conversations ingested from the `UploadConversation` and `IngestConversations` endpoints, including conversation coming from CCAI Platform. They are not applied to conversations ingested from the `CreateConversation` endpoint.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationInfo": { "properties": { "fullConversationCorrelationId": { "readOnly": true, "description": "Output only. The full conversation correlation id this conversation is a segment of.", "type": "string" }, "correlationTypes": { "readOnly": true, "type": "array", "description": "Output only. The correlation types of this conversation. A single conversation can have multiple correlation types. For example a conversation that only has a single segment is both a SEGMENT and a FULL_CONVERSATION.", "items": { "enumDescriptions": [ "Default value for unspecified.", "This conversation represents a segment of a full conversation. The lowest level of granularity.", "This conversation represents a partial conversation of potentially multiple segments but is not a full conversation.", "This conversation represents a full conversation of potentially multiple segments.", "This conversation represents a synthetic conversation." ], "enum": [ "CORRELATION_TYPE_UNSPECIFIED", "SEGMENT", "PARTIAL", "FULL", "SYNTHETIC" ], "type": "string" } }, "mergedFullConversationCorrelationId": { "readOnly": true, "description": "Output only. The full conversation correlation id this conversation is a merged conversation of.", "type": "string" } }, "description": "Info for correlating across conversations.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationInfo" }, "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequest", "description": "The request for summarizing performance according to different metrics for conversations over a specified time window.", "type": "object", "properties": { "agentPerformanceSource": { "description": "Conversations are from a single agent.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequestAgentSource" }, "queryInterval": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryInterval", "description": "Required. The time window of the conversations to derive performance stats from." }, "comparisonQueryInterval": { "description": "The time window of the conversations to compare the performance to.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryInterval" }, "filter": { "type": "string", "description": "Optional. Filter to select a subset of conversations to compute the performance overview. Supports the same filters as the filter field in QueryMetricsRequest. The source and query interval/comparison query interval should not be included here." } } }, "GoogleCloudContactcenterinsightsV1mainFeedbackLabel": { "properties": { "createTime": { "type": "string", "format": "google-datetime", "readOnly": true, "description": "Output only. Create time of the label." }, "updateTime": { "type": "string", "format": "google-datetime", "description": "Output only. Update time of the label.", "readOnly": true }, "name": { "type": "string", "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}" }, "satisfiesPzs": { "readOnly": true, "type": "boolean", "description": "Output only. Whether this resource is zone separated." }, "labeledResource": { "type": "string", "description": "Name of the resource to be labeled. Supported resources are: * `projects/{project}/locations/{location}/qaScorecards/{scorecard}/revisions/{revision}/qaQuestions/{question}` * `projects/{project}/locations/{location}/issueModels/{issue_model}` * `projects/{project}/locations/{location}/generators/{generator_id}`" }, "satisfiesPzi": { "description": "Output only. Whether this resource is zone isolated.", "readOnly": true, "type": "boolean" }, "label": { "description": "String label used for Topic Modeling.", "type": "string" }, "qaAnswerLabel": { "description": "QaAnswer label used for Quality AI example conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue" } }, "id": "GoogleCloudContactcenterinsightsV1mainFeedbackLabel", "description": "Represents a conversation, resource, and label provided by the user. Can take the form of a string label or a QaAnswer label. QaAnswer labels are used for Quality AI example conversations. String labels are used for Topic Modeling. AgentAssistSummary labels are used for Agent Assist Summarization.", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResult": { "description": "The result of testing a constraint expression on a pair of conversations.", "properties": { "conversationA": { "description": "The first conversation resource name.", "type": "string" }, "conversationB": { "type": "string", "description": "The second conversation resource name." }, "ruleConstraintResults": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResultRuleConstraintResult" }, "description": "The results for each applicable constraint rule." } }, "id": "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsPlaybookDimensionMetadata": { "properties": { "playbookDisplayName": { "type": "string", "description": "Optional. The dialogflow playbook display name." }, "playbookId": { "description": "Optional. The dialogflow playbook ID.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DimensionConversationalAgentsPlaybookDimensionMetadata", "description": "Metadata about the Conversational Agents playbook dimension.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainAnalysis": { "id": "GoogleCloudContactcenterinsightsV1mainAnalysis", "description": "The analysis resource.", "type": "object", "properties": { "annotatorSelector": { "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelector", "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run." }, "satisfiesPzs": { "type": "boolean", "readOnly": true, "description": "Output only. Whether this resource is zone separated." }, "requestTime": { "description": "Output only. The time at which the analysis was requested.", "type": "string", "readOnly": true, "format": "google-datetime" }, "name": { "description": "Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}", "type": "string" }, "createTime": { "type": "string", "readOnly": true, "format": "google-datetime", "description": "Output only. The time at which the analysis was created, which occurs when the long-running operation completes." }, "analysisResult": { "description": "Output only. The result of the analysis, which is populated when the analysis finishes.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainAnalysisResult" }, "satisfiesPzi": { "type": "boolean", "description": "Output only. Whether this resource is zone isolated.", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointDialogflowInteractionMeasure": { "type": "object", "description": "The measure related to dialogflow interactions.", "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointDialogflowInteractionMeasure", "properties": { "percentileEndToEndLatency": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult", "description": "The percentile result for end to end chat latency in milliseconds per dialogflow interaction level." }, "percentileTtsLatency": { "description": "The percentile result for TTS latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" }, "percentileToolUseLatency": { "description": "The percentile result for tool use latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" }, "percentileLlmCallLatency": { "description": "The percentile result for LLM latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" }, "percentileAudioInAudioOutLatency": { "description": "The percentile result for audio in audio out latency in milliseconds per dialogflow interaction level.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointPercentileResult" } } }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartListItem": { "type": "object", "properties": { "text": { "type": "string", "description": "Optional. The text of the list item." }, "subItems": { "description": "Optional. Nested sub-items.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartListItem" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartListItem", "description": "An item in a list." }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadataDownloadStats": { "description": "Statistics for BulkDownloadFeedbackLabels operation.", "properties": { "totalFilesWritten": { "format": "int32", "description": "Total number of files written to the provided Cloud Storage bucket.", "type": "integer" }, "processedObjectCount": { "type": "integer", "format": "int32", "description": "The number of objects processed during the download operation." }, "fileNames": { "readOnly": true, "description": "Output only. Full name of the files written to Cloud storage.", "type": "array", "items": { "type": "string" } }, "successfulDownloadCount": { "format": "int32", "description": "The number of new feedback labels downloaded during this operation. Different from \"processed\" because some labels might not be downloaded because an error.", "type": "integer" } }, "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsMetadataDownloadStats", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule": { "properties": { "annotatorSelector": { "description": "Selector of annotators to run and the phrase matchers to use for conversations that matches the conversation_filter. If not specified, NO annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector" }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "type": "boolean", "readOnly": true }, "name": { "description": "Identifier. The resource name of the analysis rule. Format: projects/{project}/locations/{location}/analysisRules/{analysis_rule}", "type": "string" }, "updateTime": { "format": "google-datetime", "type": "string", "readOnly": true, "description": "Output only. The most recent time at which this analysis rule was updated." }, "active": { "type": "boolean", "description": "If true, apply this rule to conversations. Otherwise, this rule is inactive and saved as a draft." }, "conversationFilter": { "type": "string", "description": "Filter for the conversations that should apply this analysis rule. An empty filter means this analysis rule applies to all conversations. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details." }, "satisfiesPzi": { "readOnly": true, "description": "Output only. Whether this resource is zone isolated.", "type": "boolean" }, "displayName": { "type": "string", "description": "Display Name of the analysis rule." }, "analysisPercentage": { "description": "Percentage of conversations that we should apply this analysis setting automatically, between [0, 1]. For example, 0.1 means 10%. Conversations are sampled in a determenestic way. The original runtime_percentage & upload percentage will be replaced by defining filters on the conversation.", "format": "double", "type": "number" }, "createTime": { "format": "google-datetime", "type": "string", "readOnly": true, "description": "Output only. The time at which this analysis rule was created." } }, "description": "The CCAI Insights project wide analysis rule. This rule will be applied to all conversations that match the filter defined in the rule. For a conversation matches the filter, the annotators specified in the rule will be run. If a conversation matches multiple rules, a union of all the annotators will be run. One project can have multiple analysis rules.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartChip": { "properties": { "text": { "description": "Optional. The chip label or text.", "type": "string" }, "actionUri": { "description": "Optional. Optional action or destination URI triggered by the chip.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartChip", "type": "object", "description": "A suggestion chip." }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponse": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponse", "properties": { "textOutput": { "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response.", "type": "string", "deprecated": true }, "generatedSqlQuery": { "description": "The generated SQL query from the LLM. Will be populated during the chart building phase. The generated SQL will be cached in the corresponding chart resource.", "type": "string" }, "chartSpec": { "type": "object", "description": "The chart spec for the data. This will be specified in the vega-lite or vega format.", "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "textMessage": { "description": "The text output from the LLM. Will be populated during the chart building phase. For a reloaded chart, this will NOT be populated. May contain THOUGHT or a FINAL response or some in-progress response.", "$ref": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponseTextOutput" } }, "description": "Wrapper for storing the generative response for a chart.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataMetadata", "description": "Metadata for an export insights operation.", "properties": { "endTime": { "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true, "type": "string" }, "request": { "description": "The original request for export.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest" }, "partialErrors": { "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during export operation that might cause the operation output to be incomplete.", "type": "array" }, "completedExportCount": { "description": "The number of conversations that were exported successfully.", "type": "integer", "format": "int32" }, "failedExportCount": { "format": "int32", "description": "The number of conversations that failed to be exported.", "type": "integer" }, "createTime": { "type": "string", "readOnly": true, "description": "Output only. The time the operation was created.", "format": "google-datetime" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelRequest": { "properties": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string" }, "issueModel": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel", "description": "Required. The issue model to create." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueModelRequest", "type": "object", "description": "The request to create an issue model." }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequest": { "properties": { "gcsSource": { "description": "A cloud storage bucket source. Note that any previously ingested objects from the source will be skipped to avoid duplication.", "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestGcsSource" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Optional, will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1mainRedactionConfig" }, "parent": { "type": "string", "description": "Required. The parent resource for new conversations." }, "conversationConfig": { "description": "Configuration that applies to all conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestConversationConfig" }, "speechConfig": { "$ref": "GoogleCloudContactcenterinsightsV1mainSpeechConfig", "description": "Optional. Default Speech-to-Text configuration. Optional, will default to the config specified in Settings." }, "sampleSize": { "description": "Optional. If set, this fields indicates the number of objects to ingest from the Cloud Storage bucket. If empty, the entire bucket will be ingested. Unless they are first deleted, conversations produced through sampling won't be ingested by subsequent ingest requests.", "type": "integer", "format": "int32" }, "transcriptObjectConfig": { "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequestTranscriptObjectConfig", "description": "Configuration for when `source` contains conversation transcripts." } }, "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequest", "description": "The request to ingest conversations.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelMetadata": { "description": "Metadata for deploying an issue model.", "properties": { "createTime": { "description": "Output only. The time the operation was created.", "format": "google-datetime", "readOnly": true, "type": "string" }, "endTime": { "format": "google-datetime", "type": "string", "readOnly": true, "description": "Output only. The time the operation finished running." }, "request": { "description": "The original request for deployment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelRequest" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainImportIssueModelResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainImportIssueModelResponse", "description": "Response from import issue model", "properties": { "issueModel": { "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModel", "description": "The issue model that was imported." } } }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestSheetsDestination": { "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestSheetsDestination", "properties": { "sheetTitle": { "description": "Optional. The title of the new sheet to write the feedback labels to.", "type": "string" }, "spreadsheetUri": { "type": "string", "description": "Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA. The spreadsheet ID written to will be returned as `file_names` in the BulkDownloadFeedbackLabelsMetadata." } }, "description": "Google Sheets document details to write the feedback labels to.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsMetadata", "properties": { "endTime": { "format": "google-datetime", "type": "string", "description": "The time the operation finished running." }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest", "description": "The original request for bulk delete." }, "createTime": { "format": "google-datetime", "description": "The time the operation was created.", "type": "string" }, "partialErrors": { "description": "Partial errors during bulk delete conversations operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" } }, "description": "The metadata for a bulk delete conversations operation." }, "GoogleCloudContactcenterinsightsV1alpha1ScheduleInfo": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ScheduleInfo", "properties": { "startTime": { "description": "Start time of the schedule. If not specified, will start as soon as the schedule is created.", "format": "google-datetime", "type": "string" }, "endTime": { "type": "string", "format": "google-datetime", "description": "End time of the schedule. If not specified, will keep scheduling new pipelines for execution util the schedule is no longer active or deleted." }, "schedule": { "description": "The groc expression. Format: `every number [synchronized]` Time units can be: minutes, hours Synchronized is optional and indicates that the schedule should be synchronized to the start of the interval: every 5 minutes synchronized means 00:00, 00:05 ... Otherwise the start time is random within the interval. Example: `every 5 minutes` could be 00:02, 00:07, 00:12, ...", "type": "string" }, "timeZone": { "description": "The timezone to use for the groc expression. If not specified, defaults to UTC.", "type": "string" } }, "description": "Message for schedule info." }, "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel": { "type": "object", "description": "Represents a conversation, resource, and label provided by the user. Can take the form of a string label or a QaAnswer label. QaAnswer labels are used for Quality AI example conversations. String labels are used for Topic Modeling. AgentAssistSummary labels are used for Agent Assist Summarization.", "properties": { "createTime": { "type": "string", "description": "Output only. Create time of the label.", "format": "google-datetime", "readOnly": true }, "satisfiesPzi": { "type": "boolean", "readOnly": true, "description": "Output only. Whether this resource is zone isolated." }, "updateTime": { "description": "Output only. Update time of the label.", "type": "string", "format": "google-datetime", "readOnly": true }, "label": { "description": "String label used for Topic Modeling.", "type": "string" }, "name": { "description": "Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}", "type": "string" }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "readOnly": true, "type": "boolean" }, "qaAnswerLabel": { "description": "QaAnswer label used for Quality AI example conversations.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue" }, "labeledResource": { "description": "Name of the resource to be labeled. Supported resources are: * `projects/{project}/locations/{location}/qaScorecards/{scorecard}/revisions/{revision}/qaQuestions/{question}` * `projects/{project}/locations/{location}/issueModels/{issue_model}` * `projects/{project}/locations/{location}/generators/{generator_id}`", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1FeedbackLabel" }, "GoogleCloudContactcenterinsightsV1alpha1Dashboard": { "id": "GoogleCloudContactcenterinsightsV1alpha1Dashboard", "properties": { "rootContainer": { "description": "The dashboard's root widget container. We want to display the dashboard layout in a tree-like structure, where the root container contains other widgets (containers or charts) as children.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Container" }, "dateRangeConfig": { "description": "Date range config applied to all charts in the dashboard.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig" }, "name": { "type": "string", "description": "Identifier. Dashboard resource name. Format: projects/{project}/locations/{location}/dashboards/{dashboard}" }, "updateTime": { "description": "Output only. Dashboard last update time.", "format": "google-datetime", "readOnly": true, "type": "string" }, "readOnly": { "readOnly": true, "description": "Output only. Whether the dashboard is read-only. All predefined dashboards are read-only and cannot be modified by the user.", "type": "boolean" }, "createTime": { "format": "google-datetime", "readOnly": true, "description": "Output only. Dashboard creation time.", "type": "string" }, "displayName": { "type": "string", "description": "User provided display name of the dashboard." }, "description": { "type": "string", "description": "Dashboard description" }, "filter": { "type": "string", "description": "Filter applied to all charts in the dashboard. Should support scope later." } }, "description": "Configurable dashboard", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata": { "description": "Metadata from Dialogflow relating to the current transcript segment.", "properties": { "smartReplyAllowlistCovered": { "type": "boolean", "description": "Whether the transcript segment was covered under the configured smart reply allowlist in Agent Assist." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1SampleConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1SampleConversationsMetadata", "properties": { "partialErrors": { "readOnly": true, "description": "Output only. Partial errors during sample conversations operation that might cause the operation output to be incomplete.", "type": "array", "items": { "$ref": "GoogleRpcStatus" } }, "sampleConversationsStats": { "description": "Output only. Statistics for SampleConversations operation.", "$ref": "GoogleCloudContactcenterinsightsV1SampleConversationsMetadataSampleConversationsStats", "readOnly": true }, "endTime": { "format": "google-datetime", "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1SampleConversationsRequest", "description": "Output only. The original request for sample conversations to dataset.", "readOnly": true }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true } }, "description": "The metadata for an SampleConversations operation.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainUploadConversationRequest": { "id": "GoogleCloudContactcenterinsightsV1mainUploadConversationRequest", "description": "Request to upload a conversation.", "properties": { "speechConfig": { "description": "Optional. Speech-to-Text configuration. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1mainSpeechConfig" }, "parent": { "description": "Required. The parent resource of the conversation.", "type": "string" }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1mainRedactionConfig" }, "conversationId": { "type": "string", "description": "Optional. A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`" }, "conversation": { "description": "Required. The conversation resource to create.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversation" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfig": { "type": "object", "description": "Configuration for the QA feature.", "properties": { "scorecardList": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfigScorecardList", "description": "A manual list of scorecards to score." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfig" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsights": { "properties": { "chartCheckpoint": { "description": "The chart checkpoint used to generate the chart.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartCheckpoint" }, "chartSpec": { "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "type": "object", "description": "Chart spec for the chart." }, "sqlQuery": { "type": "string", "description": "SQL query used to generate the chart." }, "request": { "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL.", "type": "any" }, "type": "object" }, "sqlComparisonKey": { "description": "Optional. For charts with comparison, this key will determine the metric that will be compared between the current and another dataset.", "type": "string" }, "chartConversations": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversation" }, "readOnly": true, "type": "array", "description": "Output only. The chart conversations used to generate the chart.", "deprecated": true } }, "type": "object", "description": "Request that use natural language query to generate the chart.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsights" }, "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResultRuleConstraintResult": { "description": "The result of a single constraint rule on the pair of conversations.", "properties": { "constraintMet": { "description": "Whether the constraint expression evaluated to true for (A, B) or (B, A).", "type": "boolean" }, "ruleId": { "description": "The rule ID.", "type": "string" }, "error": { "description": "The error status if the constraint expression failed to evaluate.", "$ref": "GoogleRpcStatus" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConstraintEvaluationResultRuleConstraintResult" }, "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsRequest": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsRequest", "description": "The request to delete conversations in bulk.", "properties": { "filter": { "description": "Filter used to select the subset of conversations to delete.", "type": "string" }, "force": { "type": "boolean", "description": "If set to true, all of this conversation's analyses will also be deleted. Otherwise, the request will only succeed if the conversation has no analyses." }, "parent": { "type": "string", "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}" }, "maxDeleteCount": { "type": "integer", "format": "int32", "description": "Maximum number of conversations to delete." } } }, "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponse": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponse", "description": "The response for generative insights.", "type": "object", "properties": { "timeZone": { "type": "string", "description": "The time zone name from the [IANA Time Zone Database](https://www.iana.org/time-zones) that the query actually used to group results. Equals the requested `time_zone` when the chart SQL supports time zones, otherwise `\"UTC\"`." }, "transcript": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscript", "description": "The transcript of the generative insights conversation." }, "generativeResponses": { "description": "The full list of generative responses. Each response is ordered by time.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponse" } } } }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsResponse": { "description": "The response for a bulk delete conversations operation.", "properties": {}, "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1CallAnnotation": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1CallAnnotation", "properties": { "silenceData": { "$ref": "GoogleCloudContactcenterinsightsV1SilenceData", "description": "Data specifying silence." }, "annotationEndBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1AnnotationBoundary", "description": "The boundary in the conversation where the annotation ends, inclusive." }, "phraseMatchData": { "$ref": "GoogleCloudContactcenterinsightsV1PhraseMatchData", "description": "Data specifying a phrase match." }, "channelTag": { "description": "The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.", "format": "int32", "type": "integer" }, "interruptionData": { "description": "Data specifying an interruption.", "$ref": "GoogleCloudContactcenterinsightsV1InterruptionData" }, "entityMentionData": { "$ref": "GoogleCloudContactcenterinsightsV1EntityMentionData", "description": "Data specifying an entity mention." }, "holdData": { "description": "Data specifying a hold.", "$ref": "GoogleCloudContactcenterinsightsV1HoldData" }, "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" }, "issueMatchData": { "description": "Data specifying an issue match.", "$ref": "GoogleCloudContactcenterinsightsV1IssueMatchData" }, "annotationStartBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1AnnotationBoundary", "description": "The boundary in the conversation where the annotation starts, inclusive." }, "intentMatchData": { "$ref": "GoogleCloudContactcenterinsightsV1IntentMatchData", "description": "Data specifying an intent match." } }, "description": "A piece of metadata that applies to a window of a call." }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfo": { "description": "Word-level info for words in a transcript.", "properties": { "word": { "type": "string", "description": "The word itself. Includes punctuation marks that surround the word." }, "endOffset": { "description": "Time offset of the end of this word relative to the beginning of the total conversation.", "type": "string", "format": "google-duration" }, "confidence": { "format": "float", "description": "A confidence estimate between 0.0 and 1.0 of the fidelity of this word. A default value of 0.0 indicates that the value is unset.", "type": "number" }, "startOffset": { "format": "google-duration", "type": "string", "description": "Time offset of the start of this word relative to the beginning of the total conversation." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfo" }, "GoogleCloudContactcenterinsightsV1alpha1ListViewsResponse": { "description": "The response of listing views.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListViewsResponse", "type": "object", "properties": { "views": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1View" }, "type": "array", "description": "The views that match the request." }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1AnswerFeedback": { "description": "The feedback that the customer has about a certain answer in the conversation.", "type": "object", "properties": { "displayed": { "type": "boolean", "description": "Indicates whether an answer or item was displayed to the human agent in the agent desktop UI." }, "correctnessLevel": { "description": "The correctness level of an answer.", "enum": [ "CORRECTNESS_LEVEL_UNSPECIFIED", "NOT_CORRECT", "PARTIALLY_CORRECT", "FULLY_CORRECT" ], "enumDescriptions": [ "Correctness level unspecified.", "Answer is totally wrong.", "Answer is partially correct.", "Answer is fully correct." ], "type": "string" }, "clicked": { "description": "Indicates whether an answer or item was clicked by the human agent.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1AnswerFeedback" }, "GoogleCloudContactcenterinsightsV1IssueModelInputDataConfig": { "id": "GoogleCloudContactcenterinsightsV1IssueModelInputDataConfig", "properties": { "trainingConversationsCount": { "type": "string", "description": "Output only. Number of conversations used in training. Output only.", "readOnly": true, "format": "int64" }, "medium": { "type": "string", "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "description": "Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.", "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "deprecated": true }, "filter": { "description": "A filter to reduce the conversations used for training the model to a specific subset. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details.", "type": "string" } }, "type": "object", "description": "Configs for the input data used to create the issue model." }, "GoogleCloudContactcenterinsightsV1EncryptionSpec": { "description": "A customer-managed encryption key specification that can be applied to all created resources (e.g. `Conversation`).", "properties": { "satisfiesPzi": { "type": "boolean", "readOnly": true, "description": "Output only. Whether this resource is zone isolated." }, "name": { "type": "string", "description": "Immutable. The resource name of the encryption key specification resource. Format: projects/{project}/locations/{location}/encryptionSpec" }, "kmsKey": { "type": "string", "description": "Required. The name of customer-managed encryption key that is used to secure a resource and its sub-resources. If empty, the resource is secured by our default encryption key. Only the key in the same location as this resource is allowed to be used for encryption. Format: `projects/{project}/locations/{location}/keyRings/{keyRing}/cryptoKeys/{key}`" }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "type": "boolean", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1EncryptionSpec", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AppealAssessmentRequest": { "properties": {}, "description": "The message to appeal an assessment.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1AppealAssessmentRequest" }, "GoogleCloudContactcenterinsightsV1alpha1IntentMatchData": { "properties": { "intentUniqueId": { "type": "string", "description": "The id of the matched intent. Can be used to retrieve the corresponding intent information." } }, "type": "object", "description": "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.", "id": "GoogleCloudContactcenterinsightsV1alpha1IntentMatchData" }, "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotationUserInput": { "properties": { "query": { "description": "Query text. Article Search uses this to store the input query used to generate the search results.", "type": "string" }, "generatorName": { "type": "string", "description": "The resource name of associated generator. Format: `projects//locations//generators/`" }, "querySource": { "enum": [ "QUERY_SOURCE_UNSPECIFIED", "AGENT_QUERY", "SUGGESTED_QUERY" ], "description": "Query source for the answer.", "type": "string", "enumDescriptions": [ "Unknown query source.", "The query is from agents.", "The query is a query from previous suggestions, e.g. from a preceding SuggestKnowledgeAssist response." ] } }, "id": "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotationUserInput", "description": "Explicit input used for generating the answer", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestTranscriptObjectConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestTranscriptObjectConfig", "description": "Configuration for processing transcript objects.", "properties": { "medium": { "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "type": "string", "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "description": "Required. The medium transcript objects represent." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1GenerativeInsightsMetadata": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightsMetadata", "properties": { "errorMessages": { "items": { "$ref": "GoogleRpcStatus" }, "type": "array", "description": "The error message when the generative insights request fails." } }, "description": "The metadata for generative insights.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainListFeedbackLabelsResponse": { "id": "GoogleCloudContactcenterinsightsV1mainListFeedbackLabelsResponse", "description": "The response for listing feedback labels.", "type": "object", "properties": { "feedbackLabels": { "description": "The feedback labels that match the request.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainFeedbackLabel" } }, "nextPageToken": { "description": "The next page token.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentRulesResponse": { "description": "The response of listing assessment rules.", "properties": { "assessmentRules": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule" }, "description": "The assessment rules that match the request.", "type": "array" }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ListAssessmentRulesResponse" }, "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerSource": { "description": "A question may have multiple answers from varying sources, one of which becomes the \"main\" answer above. AnswerSource represents each individual answer.", "type": "object", "properties": { "answerValue": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue", "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead." }, "sourceType": { "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED", "MANUAL_EDIT" ], "type": "string", "description": "What created the answer.", "enumDescriptions": [ "Source type is unspecified.", "Answer was system-generated; created during an Insights analysis.", "Answer was created by a human via manual edit." ] } }, "id": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerSource" }, "GoogleCloudContactcenterinsightsV1DeployIssueModelRequest": { "type": "object", "properties": { "name": { "type": "string", "description": "Required. The issue model to deploy." } }, "id": "GoogleCloudContactcenterinsightsV1DeployIssueModelRequest", "description": "The request to deploy an issue model." }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceTimeSeries": { "properties": { "dataPoints": { "description": "The data points that make up the time series .", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPoint" }, "type": "array" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceTimeSeries", "description": "A time series of metric values." }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartCheckpoint": { "type": "object", "properties": { "sessionId": { "description": "The session id of the chart.", "type": "string" }, "revisionId": { "type": "string", "description": "The revision id of the chart." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartCheckpoint", "description": "The current chart checkpoint state." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetrics": { "properties": { "request": { "type": "object", "additionalProperties": { "description": "Properties of the object. Contains field @type with type URL.", "type": "any" } } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetrics", "description": "Request data that use the existing QueryMetrics.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionTagsResponse": { "description": "The response from a ListQaQuestionTags request.", "id": "GoogleCloudContactcenterinsightsV1alpha1ListQaQuestionTagsResponse", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "qaQuestionTags": { "type": "array", "description": "The parent resource of the questions.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTag" } } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDeployIssueModelResponse": { "properties": {}, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainDeployIssueModelResponse", "description": "The response to deploy an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelRequest": { "description": "The request to delete an issue model.", "properties": { "name": { "description": "Required. The name of the issue model to delete.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsMetadata": { "properties": { "errorMessages": { "type": "array", "description": "The error message when the generative insights request fails.", "items": { "$ref": "GoogleRpcStatus" } } }, "type": "object", "description": "The metadata for generative insights.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsMetadata" }, "GoogleCloudContactcenterinsightsV1mainConversationDataSource": { "description": "The conversation source, which is a combination of transcript and audio.", "id": "GoogleCloudContactcenterinsightsV1mainConversationDataSource", "type": "object", "properties": { "gcsSource": { "description": "A Cloud Storage location specification for the audio and transcript.", "$ref": "GoogleCloudContactcenterinsightsV1mainGcsSource" }, "metadataUri": { "description": "Cloud Storage URI that points to a file that contains the conversation metadata.", "type": "string" }, "turnLevelAudios": { "description": "Cloud Storage URIs that points to files that contain the conversation audio for each turn. Assume the order of the URIs is the same as the order of the transcript turns.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationDataSourceTurnLevelAudio" }, "type": "array" }, "dialogflowSource": { "description": "The source when the conversation comes from Dialogflow.", "$ref": "GoogleCloudContactcenterinsightsV1mainDialogflowSource" } } }, "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotationUserInput": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotationUserInput", "properties": { "query": { "description": "Query text. Article Search uses this to store the input query used to generate the search results.", "type": "string" }, "querySource": { "enumDescriptions": [ "Unknown query source.", "The query is from agents.", "The query is a query from previous suggestions, e.g. from a preceding SuggestKnowledgeAssist response." ], "description": "Query source for the answer.", "type": "string", "enum": [ "QUERY_SOURCE_UNSPECIFIED", "AGENT_QUERY", "SUGGESTED_QUERY" ] }, "generatorName": { "description": "The resource name of associated generator. Format: `projects//locations//generators/`", "type": "string" } }, "description": "Explicit input used for generating the answer" }, "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelResponse": { "properties": {}, "id": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelResponse", "type": "object", "description": "The response to undeploy an issue model." }, "GoogleCloudContactcenterinsightsV1mainQaQuestionTag": { "type": "object", "description": "A tag is a resource which aims to categorize a set of questions across multiple scorecards, e.g., \"Customer Satisfaction\",\"Billing\", etc.", "properties": { "updateTime": { "description": "Output only. The most recent time at which the question tag was updated.", "type": "string", "readOnly": true, "format": "google-datetime" }, "displayName": { "type": "string", "description": "Required. A user-specified display name for the tag." }, "qaQuestionIds": { "type": "array", "items": { "type": "string" }, "description": "Optional. The list of Scorecard Question IDs that the tag applies to. Each QaQuestionId is represented as a full resource name containing the Question ID. Lastly, Since a tag may not necessarily be referenced by any Scorecard Questions, we treat this field as optional." }, "satisfiesPzs": { "type": "boolean", "description": "Output only. Whether this resource is zone separated.", "readOnly": true }, "createTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time at which the question tag was created.", "readOnly": true }, "satisfiesPzi": { "readOnly": true, "type": "boolean", "description": "Output only. Whether this resource is zone isolated." }, "name": { "type": "string", "description": "Identifier. Resource name for the QaQuestionTag Format projects/{project}/locations/{location}/qaQuestionTags/{qa_question_tag} In the above format, the last segment, i.e., qa_question_tag, is a server-generated ID corresponding to the tag resource." } }, "id": "GoogleCloudContactcenterinsightsV1mainQaQuestionTag" }, "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue": { "description": "Message for holding the value of a QaAnswer. QaQuestion.AnswerChoice defines the possible answer values for a question.", "properties": { "naValue": { "type": "boolean", "description": "A value of \"Not Applicable (N/A)\". Should only ever be `true`." }, "boolValue": { "type": "boolean", "description": "Boolean value." }, "numValue": { "format": "double", "description": "Numerical value.", "type": "number" }, "normalizedScore": { "description": "Output only. Normalized score of the questions. Calculated as score / potential_score.", "readOnly": true, "format": "double", "type": "number" }, "score": { "format": "double", "readOnly": true, "type": "number", "description": "Output only. Numerical score of the answer." }, "skipValue": { "type": "boolean", "description": "Output only. A value of \"Skip\". If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations. This would mean that the question was not evaluated.", "readOnly": true }, "strValue": { "description": "String value.", "type": "string" }, "key": { "type": "string", "description": "A short string used as an identifier. Matches the value used in QaQuestion.AnswerChoice.key." }, "potentialScore": { "description": "Output only. The maximum potential score of the question.", "readOnly": true, "type": "number", "format": "double" } }, "id": "GoogleCloudContactcenterinsightsV1mainQaAnswerAnswerValue", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1NoteConversationTurnNote": { "description": "A note about a conversation turn.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1NoteConversationTurnNote", "properties": { "turnIndex": { "description": "The conversation turn index that the note is associated with.", "format": "int32", "type": "integer" } } }, "GoogleCloudContactcenterinsightsV1ConversationDataSourceTurnLevelAudio": { "properties": { "audioGcsUri": { "type": "string", "description": "The Cloud Storage URI of the audio for any given turn." }, "audioDuration": { "description": "The duration of the audio.", "type": "string", "format": "google-duration" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationDataSourceTurnLevelAudio", "description": "A wrapper for holding the audio for any given turn.", "type": "object" }, "GoogleCloudContactcenterinsightsV1CesEndSessionAnnotation": { "description": "The CES end session annotation.", "id": "GoogleCloudContactcenterinsightsV1CesEndSessionAnnotation", "properties": { "endSession": { "description": "End session signal from CES.", "$ref": "GoogleCloudCesV1mainEndSession" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainCreateIssueMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainCreateIssueMetadata", "type": "object", "properties": { "createTime": { "type": "string", "description": "Output only. The time the operation was created.", "format": "google-datetime", "readOnly": true }, "endTime": { "format": "google-datetime", "readOnly": true, "type": "string", "description": "Output only. The time the operation finished running." }, "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1mainCreateIssueRequest" } }, "description": "Metadata for creating an issue." }, "GoogleCloudContactcenterinsightsV1RuntimeAnnotationUserInput": { "type": "object", "properties": { "query": { "type": "string", "description": "Query text. Article Search uses this to store the input query used to generate the search results." }, "generatorName": { "description": "The resource name of associated generator. Format: `projects//locations//generators/`", "type": "string" }, "querySource": { "description": "Query source for the answer.", "enumDescriptions": [ "Unknown query source.", "The query is from agents.", "The query is a query from previous suggestions, e.g. from a preceding SuggestKnowledgeAssist response." ], "type": "string", "enum": [ "QUERY_SOURCE_UNSPECIFIED", "AGENT_QUERY", "SUGGESTED_QUERY" ] } }, "description": "Explicit input used for generating the answer", "id": "GoogleCloudContactcenterinsightsV1RuntimeAnnotationUserInput" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTableRow": { "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTableRow", "description": "A row in a table.", "type": "object", "properties": { "cells": { "items": { "type": "string" }, "description": "Optional. The cell values in the row.", "type": "array" } } }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponse", "properties": { "macroAverageSlice": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSlice", "description": "The macro average slice contains aggregated averages across all selected dimensions. i.e. if group_by agent and scorecard_id is specified, this field will contain the average across all agents and all scorecards. This field is only populated if the request specifies a Dimension." }, "updateTime": { "format": "google-datetime", "description": "The metrics last update time.", "type": "string" }, "slices": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSlice" }, "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request.", "type": "array" }, "location": { "type": "string", "description": "Required. The location of the data. \"projects/{project}/locations/{location}\"" } }, "description": "The response for querying metrics." }, "GoogleCloudContactcenterinsightsV1SampleConversationsRequest": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1SampleConversationsRequest", "description": "The request to sample conversations to a dataset.", "properties": { "sampleRule": { "$ref": "GoogleCloudContactcenterinsightsV1SampleRule", "description": "Optional. The sample rule used for sampling conversations." }, "parent": { "type": "string", "description": "Required. The parent resource of the dataset." }, "destinationDataset": { "description": "The dataset resource to copy the sampled conversations to.", "$ref": "GoogleCloudContactcenterinsightsV1Dataset" } } }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleConfig": { "properties": { "regexMatchConfig": { "description": "The configuration for the regex match rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1RegexMatchConfig" }, "exactMatchConfig": { "description": "The configuration for the exact match rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExactMatchConfig" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleConfig", "description": "Configuration information of a phrase match rule.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsToolDimensionMetadata": { "description": "Metadata about the Conversational Agents tool dimension.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsToolDimensionMetadata", "properties": { "toolId": { "type": "string", "description": "Optional. The dialogflow tool ID." }, "toolDisplayName": { "type": "string", "description": "Optional. The dialogflow tool display name." } } }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteFeedbackLabelsResponse", "description": "Response for the BulkDeleteFeedbackLabels endpoint.", "properties": {} }, "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsResponse": { "id": "GoogleCloudContactcenterinsightsV1BulkDeleteConversationsResponse", "description": "The response for a bulk delete conversations operation.", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainImportIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainImportIssueModelMetadata", "type": "object", "properties": { "endTime": { "type": "string", "format": "google-datetime", "description": "The time the operation finished running." }, "request": { "description": "The original import request.", "$ref": "GoogleCloudContactcenterinsightsV1mainImportIssueModelRequest" }, "createTime": { "description": "The time the operation was created.", "type": "string", "format": "google-datetime" } }, "description": "Metadata used for import issue model." }, "GoogleCloudContactcenterinsightsV1alpha1CreateIssueMetadata": { "description": "Metadata for creating an issue.", "id": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueMetadata", "type": "object", "properties": { "endTime": { "type": "string", "readOnly": true, "description": "Output only. The time the operation finished running.", "format": "google-datetime" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueRequest", "description": "The original request for creation." }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "format": "google-datetime", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsMetadata": { "description": "The metadata for a bulk delete conversations operation.", "id": "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsMetadata", "properties": { "endTime": { "format": "google-datetime", "type": "string", "description": "The time the operation finished running." }, "request": { "description": "The original request for bulk delete.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkDeleteConversationsRequest" }, "partialErrors": { "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during bulk delete conversations operation that might cause the operation output to be incomplete.", "type": "array" }, "createTime": { "format": "google-datetime", "type": "string", "description": "The time the operation was created." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponseTextOutput": { "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsResponseGenerativeResponseTextOutput", "properties": { "text": { "description": "The text output from the LLM.", "items": { "type": "string" }, "type": "array" }, "textType": { "description": "The type of text output.", "enumDescriptions": [ "The type is unspecified.", "The text is part of LLM reasoning.", "The text is the final answer from LLM.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "type": "string", "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ] } }, "description": "Wrapper for text output.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDeleteConversationsRequest", "properties": { "parent": { "type": "string", "description": "Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location}" }, "maxDeleteCount": { "type": "integer", "format": "int32", "description": "Maximum number of conversations to delete." }, "filter": { "description": "Filter used to select the subset of conversations to delete.", "type": "string" }, "force": { "description": "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.", "type": "boolean" } }, "description": "The request to delete conversations in bulk.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1IssueModelInputDataConfig": { "type": "object", "description": "Configs for the input data used to create the issue model.", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModelInputDataConfig", "properties": { "filter": { "type": "string", "description": "A filter to reduce the conversations used for training the model to a specific subset. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details." }, "trainingConversationsCount": { "type": "string", "format": "int64", "description": "Output only. Number of conversations used in training. Output only.", "readOnly": true }, "medium": { "deprecated": true, "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ], "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "description": "Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionPredefinedQuestionConfig": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionPredefinedQuestionConfig", "properties": { "type": { "type": "string", "enum": [ "PREDEFINED_QUESTION_TYPE_UNSPECIFIED", "CONVERSATION_OUTCOME", "CONVERSATION_OUTCOME_ESCALATION_INITIATOR_ROLE", "CONVERSATION_OUTCOME_AI_AVERSION", "CONVERSATION_OUTCOME_ESCALATION_REASON" ], "description": "The type of the predefined question.", "enumDescriptions": [ "The type of the predefined question is unspecified.", "A prebuilt classifier classfying the outcome of the conversation. For example, if the customer issue mentioned in a conversation has been resolved or not.", "A prebuilt classifier classfying the initiator of the conversation escalation. For example, if it was initiated by the customer or the agent.", "Classifies whether the customer demonstrates AI aversion by instantly requesting escalation to a human agent without attempting to work with the AI agent.", "Classifies the primary reason for escalating the conversation to a human agent." ] } }, "description": "Configuration for a predefined question. This field will only be set if the Question Type is predefined." }, "GoogleCloudContactcenterinsightsV1PhraseMatchData": { "type": "object", "description": "The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match.", "properties": { "phraseMatcher": { "type": "string", "description": "The unique identifier (the resource name) of the phrase matcher." }, "displayName": { "description": "The human-readable name of the phrase matcher.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1PhraseMatchData" }, "GoogleCloudContactcenterinsightsV1SmartReplyData": { "id": "GoogleCloudContactcenterinsightsV1SmartReplyData", "type": "object", "description": "Agent Assist Smart Reply data.", "properties": { "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "confidenceScore": { "format": "double", "type": "number", "description": "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": { "type": "object", "description": "Map that contains metadata about the Smart Reply and the document from which it originates.", "additionalProperties": { "type": "string" } }, "reply": { "description": "The content of the reply.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainDataset": { "type": "object", "properties": { "createTime": { "format": "google-datetime", "type": "string", "description": "Output only. Dataset create time.", "readOnly": true }, "satisfiesPzs": { "type": "boolean", "description": "Output only. Whether this resource is zone separated.", "readOnly": true }, "satisfiesPzi": { "readOnly": true, "description": "Output only. Whether this resource is zone isolated.", "type": "boolean" }, "updateTime": { "format": "google-datetime", "description": "Output only. Dataset update time.", "readOnly": true, "type": "string" }, "displayName": { "description": "Display name for the dataaset", "type": "string" }, "name": { "type": "string", "description": "Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}" }, "description": { "description": "Dataset description.", "type": "string" }, "type": { "enumDescriptions": [ "Default value for unspecified.", "For evals only.", "Dataset with new conversations coming in regularly (Insights legacy conversations and AI trainer)" ], "description": "Dataset usage type.", "type": "string", "enum": [ "TYPE_UNSPECIFIED", "EVAL", "LIVE" ] }, "ttl": { "type": "string", "format": "google-duration", "description": "Optional. Option TTL for the dataset." } }, "description": "Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)", "id": "GoogleCloudContactcenterinsightsV1mainDataset" }, "GoogleCloudContactcenterinsightsV1IssueModelLabelStatsIssueStats": { "properties": { "labeledConversationsCount": { "type": "string", "format": "int64", "description": "Number of conversations attached to the issue at this point in time." }, "issue": { "description": "Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}", "type": "string" }, "displayName": { "description": "Display name of the issue.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1IssueModelLabelStatsIssueStats", "description": "Aggregated statistics about an issue.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDimensionQaScorecardDimensionMetadata": { "description": "Metadata about the QA scorecard dimension.", "type": "object", "properties": { "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainDimensionQaScorecardDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1mainSmartComposeSuggestionData": { "id": "GoogleCloudContactcenterinsightsV1mainSmartComposeSuggestionData", "type": "object", "description": "Agent Assist Smart Compose suggestion data.", "properties": { "metadata": { "additionalProperties": { "type": "string" }, "description": "Map that contains metadata about the Smart Compose suggestion and the document from which it originates.", "type": "object" }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" }, "confidenceScore": { "format": "double", "type": "number", "description": "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)." }, "suggestion": { "description": "The content of the suggestion.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTextPart": { "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartTextPart", "description": "A text part.", "properties": { "text": { "type": "string", "description": "Optional. The text content." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecRequest": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecRequest", "description": "The request to initialize a location-level encryption specification.", "properties": { "encryptionSpec": { "description": "Required. The encryption spec used for CMEK encryption. It is required that the kms key is in the same region as the endpoint. The same key will be used for all provisioned resources, if encryption is available. If the `kms_key_name` field is left empty, no encryption will be enforced.", "$ref": "GoogleCloudContactcenterinsightsV1EncryptionSpec" } } }, "GoogleCloudContactcenterinsightsV1alpha1ListAnalysesResponse": { "description": "The response to list analyses.", "type": "object", "properties": { "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." }, "analyses": { "type": "array", "description": "The analyses that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Analysis" } } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListAnalysesResponse" }, "GoogleCloudContactcenterinsightsV1mainCesTurnAnnotation": { "id": "GoogleCloudContactcenterinsightsV1mainCesTurnAnnotation", "type": "object", "description": "The CES diagnostic information.", "properties": { "messages": { "items": { "$ref": "GoogleCloudCesV1mainMessage" }, "type": "array", "description": "The messages in the turn." }, "rootSpan": { "$ref": "GoogleCloudCesV1mainSpan", "description": "The root span of the action processing." } } }, "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecResponse": { "id": "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecResponse", "type": "object", "properties": {}, "description": "The response to initialize a location-level encryption specification." }, "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataResponse", "description": "Response for an export insights operation.", "type": "object", "properties": {} }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSlice": { "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSlice", "properties": { "dimensions": { "type": "array", "description": "A unique combination of dimensions that this slice represents.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1Dimension" } }, "total": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPoint", "description": "The total metric value. The interval of this data point is [starting create time, ending create time) from the request." }, "timeSeries": { "description": "A time series of metric values. This is only populated if the request specifies a time granularity other than NONE.", "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceTimeSeries" } }, "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request. For example, if the request specifies a single ISSUE dimension and it has a cardinality of 2 (i.e. the data used to compute the metrics has 2 issues in total), the response will have 2 slices: * Slice 1 -\u003e dimensions=[Issue 1] * Slice 2 -\u003e dimensions=[Issue 2]", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainQueryPerformanceOverviewResponse": { "type": "object", "properties": { "summaryText": { "description": "The summary text of the performance.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainQueryPerformanceOverviewResponse", "description": "The response for querying performance overview." }, "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStats": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStats", "description": "Aggregated statistics about an issue model.", "properties": { "unclassifiedConversationsCount": { "type": "string", "format": "int64", "description": "Number of analyzed conversations for which no issue was applicable at this point in time." }, "issueStats": { "description": "Statistics on each issue. Key is the issue's resource name.", "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModelLabelStatsIssueStats" } }, "analyzedConversationsCount": { "format": "int64", "description": "Number of conversations the issue model has analyzed at this point in time.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationDataOptions": { "type": "object", "properties": { "includeDialogflowInteractionData": { "description": "Whether to include the per turn Dialogflow interaction data in conversation transcript.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataOptions", "description": "Options for configuring what metadata is included in the conversation data used in QAI and Discovery Engine." }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadata": { "type": "object", "description": "Metadata for testing correlation config.", "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadata", "properties": { "stats": { "description": "The statistics for the operation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStats" }, "createTime": { "type": "string", "readOnly": true, "format": "google-datetime", "description": "Output only. The time the operation was created." }, "dataset": { "description": "The dataset used for sampling conversations.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelMetadata": { "type": "object", "description": "Metadata for undeploying an issue model.", "properties": { "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "readOnly": true, "format": "google-datetime" }, "request": { "description": "The original request for undeployment.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelRequest" }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1alpha1UndeployIssueModelMetadata" }, "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResultRuleConstraintResult": { "type": "object", "description": "The result of a single constraint rule on the pair of conversations.", "id": "GoogleCloudContactcenterinsightsV1ConstraintEvaluationResultRuleConstraintResult", "properties": { "ruleId": { "type": "string", "description": "The rule ID." }, "error": { "$ref": "GoogleRpcStatus", "description": "The error status if the constraint expression failed to evaluate." }, "constraintMet": { "type": "boolean", "description": "Whether the constraint expression evaluated to true for (A, B) or (B, A)." } } }, "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagMetadata": { "properties": { "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagRequest", "description": "Output only. The original request.", "readOnly": true }, "createTime": { "type": "string", "description": "Output only. The time the operation was created.", "readOnly": true, "format": "google-datetime" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DeleteQaQuestionTagMetadata", "description": "The metadata for deleting a QaQuestionTag Resource." }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestConversationConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequestConversationConfig", "type": "object", "properties": { "agentChannel": { "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed.", "format": "int32", "type": "integer" }, "customerChannel": { "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed.", "format": "int32", "type": "integer" }, "agentId": { "type": "string", "description": "Optional. An opaque, user-specified string representing a human agent who handled all conversations in the import. Note that this will be overridden if per-conversation metadata is provided through the `metadata_bucket_uri`." } }, "description": "Configuration that applies to all conversations." }, "GoogleCloudContactcenterinsightsV1mainDimensionAgentDimensionMetadata": { "description": "Metadata about the agent dimension.", "properties": { "agentTeam": { "type": "string", "description": "Optional. A user-specified string representing the agent's team." }, "agentDeploymentId": { "type": "string", "description": "Optional. The agent's deployment ID. Only applicable to automated agents. This will be populated for AGENT and AGENT_DEPLOYMENT_ID dimensions." }, "agentDisplayName": { "type": "string", "description": "Optional. The agent's name This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions." }, "agentVersionDisplayName": { "type": "string", "description": "Optional. The agent's version display name. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions." }, "agentVersionId": { "description": "Optional. The agent's version ID. Only applicable to automated agents. This will be populated for AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentDeploymentDisplayName": { "description": "Optional. The agent's deployment display name. Only applicable to automated agents. This will be populated for AGENT_DEPLOYMENT_ID dimensions.", "type": "string" }, "agentId": { "description": "Optional. A user-specified string representing the agent. This will be populated for AGENT, AGENT_TEAM, AGENT_VERSION_ID, and AGENT_DEPLOYMENT_ID dimensions.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainDimensionAgentDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1ListNotesResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ListNotesResponse", "properties": { "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" }, "notes": { "description": "The notes that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Note" }, "type": "array" } }, "description": "The response of listing notes." }, "GoogleCloudContactcenterinsightsV1mainConversationCorrelationInfo": { "properties": { "mergedFullConversationCorrelationId": { "readOnly": true, "description": "Output only. The full conversation correlation id this conversation is a merged conversation of.", "type": "string" }, "correlationTypes": { "description": "Output only. The correlation types of this conversation. A single conversation can have multiple correlation types. For example a conversation that only has a single segment is both a SEGMENT and a FULL_CONVERSATION.", "type": "array", "items": { "type": "string", "enumDescriptions": [ "Default value for unspecified.", "This conversation represents a segment of a full conversation. The lowest level of granularity.", "This conversation represents a partial conversation of potentially multiple segments but is not a full conversation.", "This conversation represents a full conversation of potentially multiple segments.", "This conversation represents a synthetic conversation." ], "enum": [ "CORRELATION_TYPE_UNSPECIFIED", "SEGMENT", "PARTIAL", "FULL", "SYNTHETIC" ] }, "readOnly": true }, "fullConversationCorrelationId": { "description": "Output only. The full conversation correlation id this conversation is a segment of.", "type": "string", "readOnly": true } }, "description": "Info for correlating across conversations.", "id": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationInfo", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest": { "description": "The request to export insights.", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequest", "properties": { "bigQueryDestination": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequestBigQueryDestination", "description": "Specified if sink is a BigQuery table." }, "filter": { "type": "string", "description": "A filter to reduce results to a specific subset. Useful for exporting conversations with specific properties." }, "parent": { "type": "string", "description": "Required. The parent resource to export data from." }, "writeDisposition": { "description": "Options for what to do if the destination table already exists.", "enum": [ "WRITE_DISPOSITION_UNSPECIFIED", "WRITE_TRUNCATE", "WRITE_APPEND" ], "enumDescriptions": [ "Write disposition is not specified. Defaults to WRITE_TRUNCATE.", "If the table already exists, BigQuery will overwrite the table data and use the schema from the load.", "If the table already exists, BigQuery will append data to the table." ], "type": "string" }, "kmsKey": { "description": "A fully qualified KMS key name for BigQuery tables protected by CMEK. Format: projects/{project}/locations/{location}/keyRings/{keyring}/cryptoKeys/{key}/cryptoKeyVersions/{version}", "type": "string" }, "exportSchemaVersion": { "enumDescriptions": [ "Unspecified. Defaults to EXPORT_V3.", "Export schema version 1.", "Export schema version 2.", "Export schema version 3.", "Export schema version 4.", "Export schema version 5.", "Export schema version 6.", "Export schema version 7.", "Export schema version 8.", "Export schema version 9.", "Export schema version 10.", "Export schema version 11.", "Export schema version 12.", "Export schema version 13.", "Export schema version 14.", "Export schema version 15.", "Export schema version 16.", "Export schema version 17.", "Export schema version 18.", "Export schema version 19.", "Export schema version latest available." ], "type": "string", "description": "Optional. Version of the export schema.", "enum": [ "EXPORT_SCHEMA_VERSION_UNSPECIFIED", "EXPORT_V1", "EXPORT_V2", "EXPORT_V3", "EXPORT_V4", "EXPORT_V5", "EXPORT_V6", "EXPORT_V7", "EXPORT_V8", "EXPORT_V9", "EXPORT_V10", "EXPORT_V11", "EXPORT_V12", "EXPORT_V13", "EXPORT_V14", "EXPORT_V15", "EXPORT_V16", "EXPORT_V17", "EXPORT_V18", "EXPORT_V19", "EXPORT_VERSION_LATEST_AVAILABLE" ] } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartProduct": { "type": "object", "description": "A product in a product collection.", "properties": { "displayName": { "type": "string", "description": "Optional. Product display name." }, "imageUris": { "type": "array", "description": "Optional. Product image URLs.", "items": { "type": "string" } }, "id": { "description": "Optional. Product ID.", "type": "string" }, "uri": { "description": "Optional. Product URL or deep link.", "type": "string" }, "price": { "description": "Optional. Product price.", "$ref": "GoogleTypeMoney" }, "description": { "type": "string", "description": "Optional. Product description." } }, "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartProduct" }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadata": { "properties": { "partialErrors": { "type": "array", "description": "Output only. Partial errors during ingest operation that might cause the operation output to be incomplete.", "readOnly": true, "items": { "$ref": "GoogleRpcStatus" } }, "createTime": { "description": "Output only. The time the operation was created.", "type": "string", "readOnly": true, "format": "google-datetime" }, "sampledConversations": { "items": { "type": "string" }, "readOnly": true, "description": "Output only. Stores the conversation resources produced by ingest sampling operations.", "type": "array" }, "endTime": { "type": "string", "description": "Output only. The time the operation finished running.", "format": "google-datetime", "readOnly": true }, "request": { "description": "Output only. The original request for ingest.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsRequest" }, "ingestConversationsStats": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadataIngestConversationsStats", "description": "Output only. Statistics for IngestConversations operation." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadata", "description": "The metadata for an IngestConversations operation." }, "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadata": { "description": "The metadata for an IngestConversations operation.", "type": "object", "properties": { "ingestConversationsStats": { "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadataIngestConversationsStats", "readOnly": true, "description": "Output only. Statistics for IngestConversations operation." }, "endTime": { "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime", "readOnly": true }, "request": { "description": "Output only. The original request for ingest.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1mainIngestConversationsRequest" }, "partialErrors": { "items": { "$ref": "GoogleRpcStatus" }, "description": "Output only. Partial errors during ingest operation that might cause the operation output to be incomplete.", "readOnly": true, "type": "array" }, "createTime": { "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true, "type": "string" }, "sampledConversations": { "items": { "type": "string" }, "readOnly": true, "description": "Output only. Stores the conversation resources produced by ingest sampling operations.", "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1mainIngestConversationsMetadata" }, "GoogleCloudContactcenterinsightsV1mainIssue": { "id": "GoogleCloudContactcenterinsightsV1mainIssue", "type": "object", "description": "The issue resource.", "properties": { "displayName": { "description": "The representative name for the issue.", "type": "string" }, "displayDescription": { "description": "Representative description of the issue.", "type": "string" }, "name": { "type": "string", "description": "Immutable. The resource name of the issue. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}" }, "createTime": { "type": "string", "description": "Output only. The time at which this issue was created.", "format": "google-datetime", "readOnly": true }, "sampleUtterances": { "type": "array", "items": { "type": "string" }, "description": "Output only. Resource names of the sample representative utterances that match to this issue.", "readOnly": true }, "updateTime": { "description": "Output only. The most recent time that this issue was updated.", "format": "google-datetime", "readOnly": true, "type": "string" } } }, "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsMetadata": { "type": "object", "description": "Metadata for the BulkDeleteFeedbackLabels endpoint.", "id": "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsMetadata", "properties": { "partialErrors": { "description": "Partial errors during deletion operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "request": { "description": "Output only. The original request for delete.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1BulkDeleteFeedbackLabelsRequest" } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart": { "description": "A custom payload part.", "type": "object", "properties": { "payload": { "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "type": "object", "description": "Optional. Arbitrary structured payload." }, "payloadType": { "description": "Optional. Type identifier for the payload.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart": { "description": "A product collection part.", "type": "object", "properties": { "products": { "type": "array", "description": "Optional. List of products.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartProduct" } } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart" }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionQaQuestionDataOptions": { "type": "object", "properties": { "conversationDataOptions": { "description": "Options for configuring the conversation data used to generate the QA question.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataOptions" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionQaQuestionDataOptions", "description": "Options for configuring the data used to generate the QA question." }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsMetadata", "properties": { "resultIsTruncated": { "description": "Whether the result rows were truncated because the result row size is too large to materialize.", "type": "boolean" } }, "description": "The metadata from querying metrics.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPoint": { "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPoint", "description": "A data point contains the metric values mapped to an interval.", "type": "object", "properties": { "dialogflowInteractionMeasure": { "description": "The measure related to dialogflow interactions.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointDialogflowInteractionMeasure" }, "conversationMeasure": { "description": "The measure related to conversations.", "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasure" }, "interval": { "$ref": "GoogleTypeInterval", "description": "The interval that this data point represents. * If this is the total data point, the interval is [starting create time, ending create time) from the request. * If this a data point from the time series, the interval is [time, time + time granularity from the request)." } } }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequestConversations": { "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigRequestConversations", "description": "Wrapper for a list of conversations.", "type": "object", "properties": { "conversations": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "description": "Optional. The conversations." } } }, "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequestBigQueryDestination": { "id": "GoogleCloudContactcenterinsightsV1alpha1ExportInsightsDataRequestBigQueryDestination", "type": "object", "properties": { "table": { "description": "The BigQuery table name to which the insights data should be written. If this table does not exist, the export call returns an INVALID_ARGUMENT error.", "type": "string" }, "dataset": { "type": "string", "description": "Required. The name of the BigQuery dataset that the snapshot result should be exported to. If this dataset does not exist, the export call returns an INVALID_ARGUMENT error." }, "projectId": { "type": "string", "description": "A project ID or number. If specified, then export will attempt to write data to this project instead of the resource project. Otherwise, the resource project will be used." } }, "description": "A BigQuery Table Reference." }, "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionAnswerDimensionMetadata": { "description": "Metadata about the QA question-answer dimension. This is useful for showing the answer distribution for questions for a given scorecard.", "properties": { "qaQuestionId": { "type": "string", "description": "Optional. The QA question ID." }, "questionBody": { "type": "string", "description": "Optional. The full body of the question." }, "answerValue": { "type": "string", "description": "Optional. The full body of the question." }, "qaScorecardId": { "type": "string", "description": "Optional. The QA scorecard ID." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionAnswerDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1Dimension": { "description": "A dimension determines the grouping key for the query. In SQL terms, these would be part of both the \"SELECT\" and \"GROUP BY\" clauses.", "type": "object", "properties": { "qaScorecardDimensionMetadata": { "description": "Output only. Metadata about the QA scorecard dimension.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaScorecardDimensionMetadata" }, "qaQuestionDimensionMetadata": { "description": "Output only. Metadata about the QA question dimension.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionDimensionMetadata" }, "agentDimensionMetadata": { "readOnly": true, "description": "Output only. Metadata about the agent dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionAgentDimensionMetadata" }, "labelDimensionMetadata": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionLabelDimensionMetadata", "description": "Output only. Metadata about conversation labels." }, "conversationProfileDimensionMetadata": { "description": "Output only. Metadata about the conversation profile dimension.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationProfileDimensionMetadata" }, "issueDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionIssueDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the issue dimension." }, "conversationalAgentsToolDimensionMetadata": { "description": "Output only. Metadata about the Conversational Agents tool dimension.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsToolDimensionMetadata" }, "qaQuestionAnswerDimensionMetadata": { "description": "Output only. Metadata about the QA question-answer dimension.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaQuestionAnswerDimensionMetadata", "readOnly": true }, "mediumDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionMediumDimensionMetadata", "description": "Output only. Metadata about the conversation medium dimension.", "readOnly": true }, "clientSentimentCategoryDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionClientSentimentCategoryDimensionMetadata", "description": "Output only. Metadata about the client sentiment category dimension.", "readOnly": true }, "conversationalAgentsPlaybookDimensionMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DimensionConversationalAgentsPlaybookDimensionMetadata", "readOnly": true, "description": "Output only. Metadata about the Conversational Agents playbook dimension." }, "dimensionKey": { "enumDescriptions": [ "The key of the dimension is unspecified.", "The dimension is keyed by issues.", "The dimension is keyed by issue names.", "The dimension is keyed by agents.", "The dimension is keyed by agent teams.", "The dimension is keyed by QaQuestionIds. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing stats for the same question across different scorecard revisions.", "The dimension is keyed by QaQuestionIds-Answer value pairs. Note that: We only group by the QuestionId and not the revision-id of the scorecard this question is a part of. This allows for showing distribution of answers per question across different scorecard revisions.", "The dimension is keyed by QaScorecardIds. Note that: We only group by the ScorecardId and not the revision-id of the scorecard. This allows for showing stats for the same scorecard across different revisions. This metric is mostly only useful if querying the average normalized score per scorecard.", "The dimension is keyed by the conversation profile ID.", "The dimension is keyed by the conversation medium.", "The dimension is keyed by the Conversational Agents playbook ID.", "The dimension is keyed by the Conversational Agents playbook display name.", "The dimension is keyed by the Conversational Agents tool ID.", "The dimension is keyed by the Conversational Agents tool display name.", "The dimension is keyed by the client sentiment category.", "The dimension is keyed by the agent version ID.", "The dimension is keyed by the agent deployment ID.", "The dimension is keyed by the supervisor ID of the assigned human supervisor for virtual agents.", "The dimension is keyed by label keys.", "The dimension is keyed by label values.", "The dimension is keyed by label key-value pairs.", "The dimension is keyed by the last transfer sub agent name." ], "enum": [ "DIMENSION_KEY_UNSPECIFIED", "ISSUE", "ISSUE_NAME", "AGENT", "AGENT_TEAM", "QA_QUESTION_ID", "QA_QUESTION_ANSWER_VALUE", "QA_SCORECARD_ID", "CONVERSATION_PROFILE_ID", "MEDIUM", "CONVERSATIONAL_AGENTS_PLAYBOOK_ID", "CONVERSATIONAL_AGENTS_PLAYBOOK_NAME", "CONVERSATIONAL_AGENTS_TOOL_ID", "CONVERSATIONAL_AGENTS_TOOL_NAME", "CLIENT_SENTIMENT_CATEGORY", "AGENT_VERSION_ID", "AGENT_DEPLOYMENT_ID", "AGENT_ASSIST_SUPERVISOR_ID", "LABEL_KEY", "LABEL_VALUE", "LABEL_KEY_AND_VALUE", "LAST_TRANSFER_SUB_AGENT_NAME" ], "description": "The key of the dimension.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1Dimension" }, "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadata": { "properties": { "createTime": { "format": "google-datetime", "description": "Output only. The time the operation was created.", "readOnly": true, "type": "string" }, "partialErrors": { "description": "Output only. Partial errors during sample conversations operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "readOnly": true, "type": "array" }, "sampleConversationsStats": { "description": "Output only. Statistics for SampleConversations operation.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadataSampleConversationsStats" }, "endTime": { "type": "string", "readOnly": true, "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "request": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsRequest", "description": "Output only. The original request for sample conversations to dataset." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1SampleConversationsMetadata", "type": "object", "description": "The metadata for an SampleConversations operation." }, "GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfig": { "description": "Configuration for summarization.", "id": "GoogleCloudContactcenterinsightsV1AnnotatorSelectorSummarizationConfig", "properties": { "generator": { "description": "The resource name of the existing created generator. Format: projects//locations//generators/", "type": "string" }, "summarizationModel": { "enumDescriptions": [ "Unspecified summarization model.", "The CCAI baseline model. This model is deprecated and will be removed in the future. We recommend using `generator` instead.", "The CCAI baseline model, V2.0. This model is deprecated and will be removed in the future. We recommend using `generator` instead." ], "enum": [ "SUMMARIZATION_MODEL_UNSPECIFIED", "BASELINE_MODEL", "BASELINE_MODEL_V2_0" ], "type": "string", "description": "Default summarization model to be used.", "enumDeprecated": [ false, true, true ] }, "conversationProfile": { "description": "Resource name of the Dialogflow conversation profile. Format: projects/{project}/locations/{location}/conversationProfiles/{conversation_profile}", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore": { "type": "object", "description": "Average QA normalized score for the tag.", "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPointConversationMeasureQaTagScore", "properties": { "tag": { "type": "string", "description": "Tag name." }, "averageTagNormalizedScore": { "type": "number", "description": "Average tag normalized score per tag.", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeries": { "description": "A time series representing conversations over time.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeries", "properties": { "intervalDuration": { "description": "The duration of each interval.", "type": "string", "format": "google-duration" }, "points": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CalculateStatsResponseTimeSeriesInterval" }, "description": "An ordered list of intervals from earliest to latest, where each interval represents the number of conversations that transpired during the time window.", "type": "array" } } }, "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagMetadata": { "description": "The metadata for updating a QaQuestionTag Resource.", "id": "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagMetadata", "properties": { "createTime": { "format": "google-datetime", "type": "string", "readOnly": true, "description": "Output only. The time the operation was created." }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1mainUpdateQaQuestionTagRequest" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1CreateIssueModelRequest": { "description": "The request to create an issue model.", "properties": { "issueModel": { "$ref": "GoogleCloudContactcenterinsightsV1IssueModel", "description": "Required. The issue model to create." }, "parent": { "type": "string", "description": "Required. The parent resource of the issue model." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1CreateIssueModelRequest" }, "GoogleCloudContactcenterinsightsV1ConversationCorrelationResult": { "id": "GoogleCloudContactcenterinsightsV1ConversationCorrelationResult", "properties": { "conversation": { "type": "string", "description": "The conversation resource name." }, "ruleResults": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationCorrelationResultRuleCorrelationResult" }, "description": "The results for each correlation rule.", "type": "array" } }, "description": "The result of testing correlation config on a single conversation.", "type": "object" }, "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecResponse": { "properties": {}, "description": "The response to initialize a location-level encryption specification.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecResponse" }, "GoogleTypeInterval": { "id": "GoogleTypeInterval", "properties": { "endTime": { "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", "format": "google-datetime", "type": "string" }, "startTime": { "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", "type": "string", "format": "google-datetime" } }, "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", "type": "object" }, "GoogleCloudContactcenterinsightsV1ArticleSuggestionData": { "id": "GoogleCloudContactcenterinsightsV1ArticleSuggestionData", "type": "object", "description": "Agent Assist Article Suggestion data.", "properties": { "title": { "description": "Article title.", "type": "string" }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}", "type": "string" }, "uri": { "type": "string", "description": "Article URI." }, "metadata": { "description": "Map that contains metadata about the Article Suggestion and the document that it originates from.", "type": "object", "additionalProperties": { "type": "string" } }, "confidenceScore": { "description": "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).", "type": "number", "format": "float" }, "queryRecord": { "type": "string", "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}" } } }, "GoogleCloudContactcenterinsightsV1QueryPerformanceOverviewResponse": { "description": "The response for querying performance overview.", "id": "GoogleCloudContactcenterinsightsV1QueryPerformanceOverviewResponse", "properties": { "summaryText": { "description": "The summary text of the performance.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsMetadata", "type": "object", "properties": { "partialErrors": { "type": "array", "readOnly": true, "description": "Output only. Partial errors during bulk analyze operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } }, "relabel": { "type": "boolean", "readOnly": true, "description": "Output only. Deprecated: Use `request.annotator_selector.run_auto_labeling_annotator` instead. If true, the labeling rules will be re-evaluated for the conversations.", "deprecated": true }, "createTime": { "format": "google-datetime", "description": "The time the operation was created.", "type": "string" }, "totalRequestedAnalysesCount": { "description": "Total number of analyses requested. Computed by the number of conversations returned by `filter` multiplied by `analysis_percentage` in the request.", "type": "integer", "format": "int32" }, "failedAnalysesCount": { "description": "The number of requested analyses that have failed so far.", "format": "int32", "type": "integer" }, "endTime": { "type": "string", "description": "The time the operation finished running.", "format": "google-datetime" }, "request": { "description": "The original request for bulk analyze.", "$ref": "GoogleCloudContactcenterinsightsV1mainBulkAnalyzeConversationsRequest" }, "completedAnalysesCount": { "type": "integer", "format": "int32", "description": "The number of requested analyses that have completed successfully so far." } }, "description": "The metadata for a bulk analyze conversations operation." }, "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequestGcsSource": { "id": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequestGcsSource", "properties": { "objectUri": { "description": "Required. Format: `gs:///`", "type": "string" } }, "type": "object", "description": "Google Cloud Storage Object URI to get the issue model file from." }, "GoogleCloudContactcenterinsightsV1alpha1ListIssuesResponse": { "description": "The response of listing issues.", "properties": { "issues": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue" }, "type": "array", "description": "The issues that match the request." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListIssuesResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchData": { "properties": { "displayName": { "description": "The human-readable name of the phrase matcher.", "type": "string" }, "phraseMatcher": { "description": "The unique identifier (the resource name) of the phrase matcher.", "type": "string" } }, "description": "The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match.", "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ListAnalysisRulesResponse": { "description": "The response of listing views.", "properties": { "nextPageToken": { "type": "string", "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." }, "analysisRules": { "type": "array", "description": "The analysis_rule that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnalysisRule" } } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListAnalysisRulesResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SilenceData": { "description": "The data for a silence annotation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1SilenceData", "properties": {} }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart": { "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart", "type": "object", "properties": { "payload": { "type": "object", "description": "Optional. Arbitrary structured payload.", "additionalProperties": { "description": "Properties of the object.", "type": "any" } }, "payloadType": { "description": "Optional. Type identifier for the payload.", "type": "string" } }, "description": "A custom payload part." }, "GoogleCloudContactcenterinsightsV1alpha1ListAutoLabelingRulesResponse": { "type": "object", "description": "The response message for listing auto labeling rules.", "properties": { "autoLabelingRules": { "type": "array", "description": "The auto labeling rules.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AutoLabelingRule" } }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListAutoLabelingRulesResponse" }, "GoogleCloudContactcenterinsightsV1mainAnswerFeedback": { "type": "object", "properties": { "correctnessLevel": { "description": "The correctness level of an answer.", "enumDescriptions": [ "Correctness level unspecified.", "Answer is totally wrong.", "Answer is partially correct.", "Answer is fully correct." ], "type": "string", "enum": [ "CORRECTNESS_LEVEL_UNSPECIFIED", "NOT_CORRECT", "PARTIALLY_CORRECT", "FULLY_CORRECT" ] }, "clicked": { "type": "boolean", "description": "Indicates whether an answer or item was clicked by the human agent." }, "displayed": { "type": "boolean", "description": "Indicates whether an answer or item was displayed to the human agent in the agent desktop UI." } }, "description": "The feedback that the customer has about a certain answer in the conversation.", "id": "GoogleCloudContactcenterinsightsV1mainAnswerFeedback" }, "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResult": { "description": "The result of testing correlation config on a single conversation.", "id": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResult", "properties": { "ruleResults": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationCorrelationResultRuleCorrelationResult" }, "description": "The results for each correlation rule.", "type": "array" }, "conversation": { "type": "string", "description": "The conversation resource name." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegment": { "type": "object", "properties": { "confidence": { "type": "number", "format": "float", "description": "A confidence estimate between 0.0 and 1.0 of the fidelity of this segment. A default value of 0.0 indicates that the value is unset." }, "turnLevelAudio": { "description": "Turn level audio for this transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationDataSourceTurnLevelAudio" }, "sentiment": { "$ref": "GoogleCloudContactcenterinsightsV1SentimentData", "description": "The sentiment for this transcript segment." }, "text": { "description": "The text of this segment.", "type": "string" }, "languageCode": { "description": "The language code of this segment as a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: \"en-US\".", "type": "string" }, "parts": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPart" }, "type": "array", "description": "Optional. The structured parts that make up this transcript segment." }, "dialogflowSegmentMetadata": { "description": "CCAI metadata relating to the current transcript segment.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentDialogflowSegmentMetadata" }, "segmentParticipant": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationParticipant", "description": "The participant of this segment." }, "words": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentWordInfo" }, "type": "array", "description": "A list of the word-specific information for each word in the segment." }, "messageTime": { "description": "The time that the message occurred, if provided.", "format": "google-datetime", "type": "string" }, "channelTag": { "type": "integer", "description": "For conversations derived from multi-channel audio, this is the channel number corresponding to the audio from that channel. For audioChannelCount = N, its output values can range from '1' to 'N'. A channel tag of 0 indicates that the audio is mono.", "format": "int32" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegment", "description": "A segment of a full transcript." }, "GoogleCloudContactcenterinsightsV1mainQaScorecardResultScoreSource": { "type": "object", "properties": { "potentialScore": { "format": "double", "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation.", "type": "number" }, "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score, which is the score divided by the potential score." }, "qaTagResults": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultQaTagResult" }, "type": "array", "description": "Collection of tags and their scores." }, "score": { "format": "double", "description": "The overall numerical score of the result.", "type": "number" }, "sourceType": { "description": "What created the score.", "type": "string", "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED_ONLY", "INCLUDES_MANUAL_EDITS" ], "enumDescriptions": [ "Source type is unspecified.", "Score is derived only from system-generated answers.", "Score is derived from both system-generated answers, and includes any manual edits if they exist." ] } }, "id": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultScoreSource", "description": "A scorecard result may have multiple sets of scores from varying sources, one of which becomes the \"main\" answer above. A ScoreSource represents each individual set of scores." }, "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequestAgentSource": { "type": "object", "description": "The entity whose performance is being queried is a single agent.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryPerformanceOverviewRequestAgentSource", "properties": { "agentId": { "type": "string", "description": "Required. Agent id to query performance overview for." } } }, "GoogleCloudContactcenterinsightsV1alpha1Chart": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1Chart", "properties": { "updateTime": { "readOnly": true, "type": "string", "description": "Output only. Chart last update time.", "format": "google-datetime" }, "chartType": { "description": "Output only. Chart type.", "readOnly": true, "enumDescriptions": [ "Unspecified chart type.", "Pre-defined chart type.", "Configurable chart type." ], "enum": [ "CHART_TYPE_UNSPECIFIED", "SYSTEM_DEFINED", "USER_DEFINED" ], "type": "string" }, "displayName": { "type": "string", "description": "User provided display name of the chart." }, "filter": { "type": "string", "description": "Filter applied to all charts in the container. Should support scope later." }, "dateRangeConfig": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig", "description": "Date range config applied to the chart." }, "action": { "description": "Optional action to be taken when the chart is clicked.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ChartAction" }, "description": { "description": "Chart description", "type": "string" }, "name": { "description": "Identifier. Chart resource name. Format: projects/{project}/locations/{location}/dashboards/{dashboard}/charts/{chart}", "type": "string" }, "width": { "type": "integer", "description": "The width of the chart in grid units.", "format": "int32" }, "createTime": { "description": "Output only. Chart create time.", "readOnly": true, "format": "google-datetime", "type": "string" }, "height": { "description": "The height of the chart in grid units.", "format": "int32", "type": "integer" }, "dataSource": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ChartDataSource" }, "chartVisualizationType": { "enum": [ "CHART_VISUALIZATION_TYPE_UNSPECIFIED", "BAR", "LINE", "AREA", "PIE", "SCATTER", "TABLE", "SCORE_CARD", "SUNBURST", "GAUGE", "SANKEY" ], "type": "string", "enumDescriptions": [ "Unspecified chart visualization type.", "Bar chart.", "Line chart.", "Area chart.", "Pie chart.", "Scatter chart.", "Table chart.", "Score card chart.", "Sunburst chart.", "Gauge chart.", "Sankey chart." ], "description": "Chart visualization type." } }, "description": "Configurable dashboard's widget that displays data as a chart." }, "GoogleCloudContactcenterinsightsV1alpha1ConversationCallMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationCallMetadata", "description": "Call-specific metadata.", "properties": { "customerChannel": { "description": "The audio channel that contains the customer.", "type": "integer", "format": "int32" }, "agentChannel": { "description": "The audio channel that contains the agent.", "format": "int32", "type": "integer" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestGcsDestination": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestGcsDestination", "properties": { "alwaysPrintEmptyFields": { "description": "Optional. Always print fields with no presence. This is useful for printing fields that are not set, like implicit 0 value or empty lists/maps. Only applicable for JSON format.", "type": "boolean" }, "recordsPerFileCount": { "description": "Optional. The number of records per file. Applicable for either format.", "format": "int64", "type": "string" }, "format": { "enumDescriptions": [ "Unspecified format.", "CSV format. 1,000 labels are stored per CSV file by default.", "JSON format. 1 label stored per JSON file by default." ], "enum": [ "FORMAT_UNSPECIFIED", "CSV", "JSON" ], "type": "string", "description": "Required. File format in which the labels will be exported." }, "objectUri": { "description": "Required. The Google Cloud Storage URI to write the feedback labels to. The file name will be used as a prefix for the files written to the bucket if the output needs to be split across multiple files, otherwise it will be used as is. The file extension will be appended to the file name based on the format selected. E.g. `gs://bucket_name/object_uri_prefix`", "type": "string" }, "addWhitespace": { "description": "Optional. Add whitespace to the JSON file. Makes easier to read, but increases file size. Only applicable for JSON format.", "type": "boolean" } }, "description": "Google Cloud Storage Object details to write the feedback labels to." }, "GoogleCloudContactcenterinsightsV1DialogflowIntent": { "properties": { "displayName": { "type": "string", "description": "The human-readable name of the intent." } }, "id": "GoogleCloudContactcenterinsightsV1DialogflowIntent", "description": "The data for a Dialogflow intent. Represents a detected intent in the conversation, e.g. MAKES_PROMISE.", "type": "object" }, "GoogleCloudCesV1mainChunk": { "id": "GoogleCloudCesV1mainChunk", "type": "object", "properties": { "transcript": { "type": "string", "description": "Optional. Transcript associated with the audio." }, "blob": { "description": "Optional. Blob data.", "$ref": "GoogleCloudCesV1mainBlob" }, "updatedVariables": { "description": "A struct represents variables that were updated in the conversation, keyed by variable names.", "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "type": "object" }, "agentTransfer": { "description": "Optional. Agent transfer event.", "$ref": "GoogleCloudCesV1mainAgentTransfer" }, "toolCall": { "description": "Optional. Tool execution request.", "$ref": "GoogleCloudCesV1mainToolCall" }, "toolResponse": { "$ref": "GoogleCloudCesV1mainToolResponse", "description": "Optional. Tool execution response." }, "image": { "$ref": "GoogleCloudCesV1mainImage", "description": "Optional. Image data." }, "defaultVariables": { "type": "object", "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "description": "A struct represents default variables at the start of the conversation, keyed by variable names." }, "payload": { "description": "Optional. Custom payload data.", "additionalProperties": { "type": "any", "description": "Properties of the object." }, "type": "object" }, "text": { "description": "Optional. Text data.", "type": "string" } }, "description": "A chunk of content within a message." }, "GoogleCloudContactcenterinsightsV1alpha1SettingsDiagnosticMetricConfig": { "description": "Configuration for diagnostic metrics.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1SettingsDiagnosticMetricConfig", "properties": { "metrics": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1MetricDefinition" }, "type": "object", "description": "Optional. A map of diagnostic metrics. The key is a unique identifier for the metric (e.g., \"containment\")." } } }, "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerSource": { "type": "object", "description": "A question may have multiple answers from varying sources, one of which becomes the \"main\" answer above. AnswerSource represents each individual answer.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerSource", "properties": { "answerValue": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswerAnswerValue", "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead." }, "sourceType": { "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED", "MANUAL_EDIT" ], "type": "string", "enumDescriptions": [ "Source type is unspecified.", "Answer was system-generated; created during an Insights analysis.", "Answer was created by a human via manual edit." ], "description": "What created the answer." } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscript": { "description": "The conversation transcript for the chart.", "properties": { "updateTime": { "description": "Output only. The update time of the conversation.", "type": "string", "readOnly": true, "format": "google-datetime" }, "conversationId": { "type": "string", "description": "The conversation id of the chart." }, "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The create time of the conversation." }, "messages": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessage" }, "description": "Ordered list of messages, including user inputs and system responses.", "type": "array" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscript" }, "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelMetadata", "properties": { "endTime": { "type": "string", "description": "Output only. The time the operation finished running.", "readOnly": true, "format": "google-datetime" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DeleteIssueModelRequest", "description": "The original request for deletion." }, "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "format": "google-datetime", "type": "string" } }, "type": "object", "description": "Metadata for deleting an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStatsIssueStats": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStatsIssueStats", "description": "Aggregated statistics about an issue.", "properties": { "labeledConversationsCount": { "description": "Number of conversations attached to the issue at this point in time.", "type": "string", "format": "int64" }, "issue": { "type": "string", "description": "Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}" }, "displayName": { "type": "string", "description": "Display name of the issue." } } }, "GoogleCloudContactcenterinsightsV1mainQaScorecardResult": { "properties": { "name": { "description": "Identifier. The name of the scorecard result. Format: projects/{project}/locations/{location}/qaScorecardResults/{qa_scorecard_result}", "type": "string" }, "potentialScore": { "type": "number", "format": "double", "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation." }, "agentId": { "type": "string", "description": "ID of the agent that handled the conversation." }, "qaTagResults": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultQaTagResult" }, "description": "Collection of tags and their scores." }, "scoreSources": { "description": "List of all individual score sets.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaScorecardResultScoreSource" }, "type": "array" }, "conversation": { "description": "The conversation scored by this result.", "type": "string" }, "score": { "type": "number", "format": "double", "description": "The overall numerical score of the result, incorporating any manual edits if they exist." }, "qaAnswers": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainQaAnswer" }, "description": "Set of QaAnswers represented in the result.", "type": "array" }, "createTime": { "description": "Output only. The timestamp that the revision was created.", "readOnly": true, "format": "google-datetime", "type": "string" }, "normalizedScore": { "format": "double", "description": "The normalized score, which is the score divided by the potential score. Any manual edits are included if they exist.", "type": "number" }, "qaScorecardRevision": { "type": "string", "description": "The QaScorecardRevision scored by this result." } }, "description": "The results of scoring a single conversation against a QaScorecard. Contains a collection of QaAnswers and aggregate score.", "id": "GoogleCloudContactcenterinsightsV1mainQaScorecardResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1SilenceData": { "description": "The data for a silence annotation.", "properties": {}, "type": "object", "id": "GoogleCloudContactcenterinsightsV1SilenceData" }, "GoogleCloudContactcenterinsightsV1mainExportIssueModelMetadata": { "properties": { "endTime": { "format": "google-datetime", "type": "string", "description": "The time the operation finished running." }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1mainExportIssueModelRequest", "description": "The original export request." }, "createTime": { "format": "google-datetime", "type": "string", "description": "The time the operation was created." } }, "id": "GoogleCloudContactcenterinsightsV1mainExportIssueModelMetadata", "description": "Metadata used for export issue model.", "type": "object" }, "GoogleCloudContactcenterinsightsV1QaAnswer": { "id": "GoogleCloudContactcenterinsightsV1QaAnswer", "description": "An answer to a QaQuestion.", "properties": { "tags": { "items": { "type": "string" }, "type": "array", "description": "User-defined list of arbitrary tags. Matches the value from QaScorecard.ScorecardQuestion.tags. Used for grouping/organization and for weighting the score of each answer." }, "answerValue": { "$ref": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue", "description": "The answer value from this source. This field is populated by default, unless the question has a selection strategy configured to return multiple answer values, in which case `answer_values` will be populated instead." }, "qaQuestion": { "type": "string", "description": "The QaQuestion answered by this answer." }, "conversation": { "type": "string", "description": "The conversation the answer applies to." }, "answerSources": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerSource" }, "description": "Lists all answer sources containing one or more answer values of a specific source type, e.g., all system-generated answer sources, or all manual edit answer sources.", "type": "array" }, "questionBody": { "description": "Question text. E.g., \"Did the agent greet the customer?\"", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponseDetailedCorrelationResults": { "description": "Wrapper for detailed, step-by-step results.", "properties": { "joinKeyResults": { "description": "A list of join key correlation results for each conversation tested.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationCorrelationResult" } }, "constraintResults": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConstraintEvaluationResult" }, "description": "A list of constraint evaluation results for each pair of conversations." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigResponseDetailedCorrelationResults", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AnalysisResultCallAnalysisMetadata": { "properties": { "phraseMatchers": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchData" }, "description": "All the matched phrase matchers in the call.", "type": "object" }, "sentiments": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSentiment" }, "description": "Overall conversation-level sentiment for each channel of the call.", "type": "array" }, "issueModelResult": { "description": "Overall conversation-level issue modeling result.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelResult" }, "intents": { "type": "object", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Intent" }, "description": "All the matched intents in the call." }, "qaScorecardResults": { "description": "Results of scoring QaScorecards.", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResult" } }, "annotations": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1CallAnnotation" }, "type": "array", "description": "A list of call annotations that apply to this call." }, "silence": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationLevelSilence", "description": "Overall conversation-level silence during the call." }, "entities": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Entity" }, "type": "object", "description": "All the entities in the call." } }, "description": "Call-specific metadata created during analysis.", "id": "GoogleCloudContactcenterinsightsV1alpha1AnalysisResultCallAnalysisMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1DeleteIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1DeleteIssueModelMetadata", "properties": { "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. The time the operation was created." }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "request": { "description": "The original request for deletion.", "$ref": "GoogleCloudContactcenterinsightsV1DeleteIssueModelRequest" } }, "description": "Metadata for deleting an issue model.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequest": { "properties": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string" }, "gcsSource": { "description": "Google Cloud Storage source message.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequestGcsSource" }, "createNewModel": { "description": "Optional. If set to true, will create an issue model from the imported file with randomly generated IDs for the issue model and corresponding issues. Otherwise, replaces an existing model with the same ID as the file.", "type": "boolean" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelRequest", "description": "Request to import an issue model.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainCreateIssueRequest": { "properties": { "issue": { "$ref": "GoogleCloudContactcenterinsightsV1mainIssue", "description": "Required. The values for the new issue." }, "parent": { "description": "Required. The parent resource of the issue.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainCreateIssueRequest", "description": "The request to create an issue.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1IssueAssignment": { "properties": { "issue": { "type": "string", "description": "Resource name of the assigned issue." }, "score": { "description": "Score indicating the likelihood of the issue assignment. currently bounded on [0,1].", "type": "number", "format": "double" }, "displayName": { "description": "Immutable. Display name of the assigned issue. This field is set at time of analysis and immutable since then.", "type": "string" } }, "description": "Information about the issue.", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueAssignment", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTablePart": { "properties": { "rows": { "type": "array", "description": "Optional. Table rows.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTableRow" } }, "headers": { "items": { "type": "string" }, "description": "Optional. Table column headers.", "type": "array" }, "title": { "description": "Optional. Optional title for the table.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartTablePart", "description": "A table part.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionQaScorecardDimensionMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionQaScorecardDimensionMetadata", "description": "Metadata about the QA scorecard dimension.", "properties": { "qaScorecardId": { "type": "string", "description": "Optional. The QA scorecard ID." } } }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartChip": { "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartChip", "type": "object", "properties": { "actionUri": { "description": "Optional. Optional action or destination URI triggered by the chip.", "type": "string" }, "text": { "description": "Optional. The chip label or text.", "type": "string" } }, "description": "A suggestion chip." }, "GoogleCloudCesV1mainMessage": { "type": "object", "id": "GoogleCloudCesV1mainMessage", "description": "A message within a conversation.", "properties": { "eventTime": { "description": "Optional. Timestamp when the message was sent or received. Should not be used if the message is part of an example.", "type": "string", "format": "google-datetime" }, "role": { "description": "Optional. The role within the conversation, e.g., user, agent.", "type": "string" }, "chunks": { "items": { "$ref": "GoogleCloudCesV1mainChunk" }, "description": "Optional. Content of the message as a series of chunks.", "type": "array" } } }, "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecMetadata": { "description": "Metadata for initializing a location-level encryption specification.", "id": "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecMetadata", "type": "object", "properties": { "partialErrors": { "description": "Partial errors during initializing operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" }, "type": "array" }, "createTime": { "format": "google-datetime", "type": "string", "description": "Output only. The time the operation was created.", "readOnly": true }, "endTime": { "type": "string", "description": "Output only. The time the operation finished running.", "format": "google-datetime", "readOnly": true }, "request": { "readOnly": true, "description": "Output only. The original request for initialization.", "$ref": "GoogleCloudContactcenterinsightsV1InitializeEncryptionSpecRequest" } } }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartListItem": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartListItem", "properties": { "subItems": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartListItem" }, "description": "Optional. Nested sub-items.", "type": "array" }, "text": { "description": "Optional. The text of the list item.", "type": "string" } }, "description": "An item in a list." }, "GoogleCloudContactcenterinsightsV1alpha1DialogflowSource": { "id": "GoogleCloudContactcenterinsightsV1alpha1DialogflowSource", "description": "A Dialogflow source of conversation data.", "type": "object", "properties": { "dialogflowConversation": { "readOnly": true, "description": "Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}", "type": "string" }, "audioUri": { "description": "Cloud Storage URI that points to a file that contains the conversation audio.", "type": "string" } } }, "GoogleIamV1Binding": { "properties": { "role": { "description": "Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).", "type": "string" }, "members": { "items": { "type": "string" }, "description": "Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.", "type": "array" }, "condition": { "$ref": "GoogleTypeExpr", "description": "The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies)." } }, "id": "GoogleIamV1Binding", "description": "Associates `members`, or principals, with a `role`.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageUserMessage": { "type": "object", "properties": { "text": { "type": "string", "description": "A message from the user that is interacting with the system." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageUserMessage", "description": "The user message." }, "GoogleCloudContactcenterinsightsV1alpha1FinalizeAssessmentRequest": { "properties": {}, "description": "The message to finalize an assessment. Finalizing makes an assessment and its notes immutable.", "id": "GoogleCloudContactcenterinsightsV1alpha1FinalizeAssessmentRequest", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet": { "type": "object", "description": "An AuthorizedViewSet contains a set of AuthorizedView resources.", "id": "GoogleCloudContactcenterinsightsV1alpha1AuthorizedViewSet", "properties": { "displayName": { "type": "string", "description": "Display Name. Limit 64 characters." }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "type": "boolean", "readOnly": true }, "satisfiesPzi": { "type": "boolean", "description": "Output only. Whether this resource is zone isolated.", "readOnly": true }, "createTime": { "format": "google-datetime", "description": "Output only. Create time.", "readOnly": true, "type": "string" }, "name": { "description": "Identifier. The resource name of the AuthorizedViewSet. Format: projects/{project}/locations/{location}/authorizedViewSets/{authorized_view_set}", "type": "string" }, "updateTime": { "type": "string", "description": "Output only. Update time.", "readOnly": true, "format": "google-datetime" } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponse", "description": "The response for generative insights.", "properties": { "transcript": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscript", "description": "The transcript of the generative insights conversation." }, "timeZone": { "type": "string", "description": "The time zone name from the [IANA Time Zone Database](https://www.iana.org/time-zones) that the query actually used to group results. Equals the requested `time_zone` when the chart SQL supports time zones, otherwise `\"UTC\"`." }, "generativeResponses": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsResponseGenerativeResponse" }, "description": "The full list of generative responses. Each response is ordered by time." } } }, "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsMetadata": { "properties": { "errorMessages": { "type": "array", "items": { "$ref": "GoogleRpcStatus" }, "description": "The error message when the generative insights request fails." } }, "description": "The metadata for generative insights.", "id": "GoogleCloudContactcenterinsightsV1mainGenerativeInsightsMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartListItem": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartListItem", "properties": { "text": { "type": "string", "description": "Optional. The text of the list item." }, "subItems": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartListItem" }, "description": "Optional. Nested sub-items." } }, "description": "An item in a list.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultQaTagResult": { "type": "object", "properties": { "potentialScore": { "description": "The potential score the tag applies to.", "type": "number", "format": "double" }, "normalizedScore": { "format": "double", "description": "The normalized score the tag applies to.", "type": "number" }, "tag": { "type": "string", "description": "The tag the score applies to." }, "score": { "description": "The score the tag applies to.", "format": "double", "type": "number" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultQaTagResult", "description": "Tags and their corresponding results." }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadata": { "properties": { "createTime": { "readOnly": true, "description": "Output only. The time the operation was created.", "type": "string", "format": "google-datetime" }, "downloadStats": { "description": "Output only. Statistics for BulkDownloadFeedbackLabels operation.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadataDownloadStats", "readOnly": true }, "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "request": { "readOnly": true, "description": "Output only. The original request for download.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequest" }, "partialErrors": { "type": "array", "description": "Partial errors during ingest operation that might cause the operation output to be incomplete.", "items": { "$ref": "GoogleRpcStatus" } } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsMetadata", "description": "Metadata for the BulkDownloadFeedbackLabel endpoint." }, "GoogleCloudContactcenterinsightsV1IngestConversationsMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1IngestConversationsMetadata", "description": "The metadata for an IngestConversations operation.", "properties": { "sampledConversations": { "description": "Output only. Stores the conversation resources produced by ingest sampling operations.", "items": { "type": "string" }, "readOnly": true, "type": "array" }, "createTime": { "format": "google-datetime", "description": "Output only. The time the operation was created.", "type": "string", "readOnly": true }, "endTime": { "description": "Output only. The time the operation finished running.", "format": "google-datetime", "type": "string", "readOnly": true }, "request": { "description": "Output only. The original request for ingest.", "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsRequest" }, "ingestConversationsStats": { "$ref": "GoogleCloudContactcenterinsightsV1IngestConversationsMetadataIngestConversationsStats", "readOnly": true, "description": "Output only. Statistics for IngestConversations operation." }, "partialErrors": { "items": { "$ref": "GoogleRpcStatus" }, "type": "array", "readOnly": true, "description": "Output only. Partial errors during ingest operation that might cause the operation output to be incomplete." } } }, "GoogleCloudContactcenterinsightsV1CreateIssueModelMetadata": { "description": "Metadata for creating an issue model.", "properties": { "createTime": { "description": "Output only. The time the operation was created.", "format": "google-datetime", "type": "string", "readOnly": true }, "endTime": { "description": "Output only. The time the operation finished running.", "format": "google-datetime", "readOnly": true, "type": "string" }, "request": { "description": "The original request for creation.", "$ref": "GoogleCloudContactcenterinsightsV1CreateIssueModelRequest" } }, "id": "GoogleCloudContactcenterinsightsV1CreateIssueModelMetadata", "type": "object" }, "GoogleCloudContactcenterinsightsV1DeployIssueModelMetadata": { "description": "Metadata for deploying an issue model.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1DeployIssueModelMetadata", "properties": { "createTime": { "format": "google-datetime", "readOnly": true, "type": "string", "description": "Output only. The time the operation was created." }, "endTime": { "type": "string", "description": "Output only. The time the operation finished running.", "format": "google-datetime", "readOnly": true }, "request": { "description": "The original request for deployment.", "$ref": "GoogleCloudContactcenterinsightsV1DeployIssueModelRequest" } } }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartMediaPart": { "properties": { "uri": { "description": "Optional. URI or URL to the media.", "type": "string" }, "alternativeText": { "type": "string", "description": "Optional. Alternative text description." } }, "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartMediaPart", "description": "A media part.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsPlaybookDimensionMetadata": { "properties": { "playbookId": { "description": "Optional. The dialogflow playbook ID.", "type": "string" }, "playbookDisplayName": { "description": "Optional. The dialogflow playbook display name.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1mainDimensionConversationalAgentsPlaybookDimensionMetadata", "description": "Metadata about the Conversational Agents playbook dimension.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTablePart": { "description": "A table part.", "properties": { "title": { "description": "Optional. Optional title for the table.", "type": "string" }, "headers": { "type": "array", "items": { "type": "string" }, "description": "Optional. Table column headers." }, "rows": { "type": "array", "description": "Optional. Table rows.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTableRow" } } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartTablePart" }, "GoogleCloudContactcenterinsightsV1mainIssueModelInputDataConfig": { "id": "GoogleCloudContactcenterinsightsV1mainIssueModelInputDataConfig", "description": "Configs for the input data used to create the issue model.", "properties": { "trainingConversationsCount": { "type": "string", "readOnly": true, "format": "int64", "description": "Output only. Number of conversations used in training. Output only." }, "medium": { "description": "Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.", "deprecated": true, "type": "string", "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ] }, "filter": { "description": "A filter to reduce the conversations used for training the model to a specific subset. Refer to https://cloud.google.com/contact-center/insights/docs/filtering for details.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1RedirectAction": { "description": "The redirect action to be taken when the chart is clicked.", "type": "object", "properties": { "relativePath": { "type": "string", "description": "The relative path to redirect to." }, "queryParams": { "additionalProperties": { "type": "string" }, "type": "object", "description": "The query params to be added to the redirect path." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1RedirectAction" }, "GoogleCloudCesV1mainSpan": { "type": "object", "description": "A span is a unit of work or a single operation during the request processing.", "id": "GoogleCloudCesV1mainSpan", "properties": { "childSpans": { "readOnly": true, "type": "array", "description": "Output only. The child spans that are nested under this span.", "items": { "$ref": "GoogleCloudCesV1mainSpan" } }, "attributes": { "additionalProperties": { "type": "any", "description": "Properties of the object." }, "readOnly": true, "description": "Output only. Key-value attributes associated with the span.", "type": "object" }, "startTime": { "format": "google-datetime", "description": "Output only. The start time of the span.", "type": "string", "readOnly": true }, "name": { "type": "string", "description": "Output only. The name of the span.", "readOnly": true }, "endTime": { "format": "google-datetime", "description": "Output only. The end time of the span.", "type": "string", "readOnly": true }, "duration": { "format": "google-duration", "description": "Output only. The duration of the span.", "type": "string", "readOnly": true } } }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRule": { "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRule", "type": "object", "properties": { "query": { "description": "Required. The phrase to be matched.", "type": "string" }, "negated": { "type": "boolean", "description": "Specifies whether the phrase must be missing from the transcript segment or present in the transcript segment." }, "config": { "description": "Provides additional information about the rule that specifies how to apply the rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleConfig" } }, "description": "The data for a phrase match rule." }, "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotation": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotation", "properties": { "answerFeedback": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnswerFeedback", "description": "The feedback that the customer has about the answer in `data`." }, "smartReply": { "description": "Agent Assist Smart Reply data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SmartReplyData" }, "startBoundary": { "description": "The boundary in the conversation where the annotation starts, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary" }, "conversationSummarizationSuggestion": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationSummarizationSuggestionData", "description": "Conversation summarization suggestion data." }, "userInput": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1RuntimeAnnotationUserInput", "description": "Explicit input used for generating the answer" }, "articleSuggestion": { "description": "Agent Assist Article Suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1ArticleSuggestionData" }, "dialogflowInteraction": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1DialogflowInteractionData", "description": "Dialogflow interaction data." }, "cesEndSessionAnnotation": { "description": "The CES end session annotation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CesEndSessionAnnotation" }, "endBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary", "description": "The boundary in the conversation where the annotation ends, inclusive." }, "createTime": { "format": "google-datetime", "type": "string", "description": "The time at which this annotation was created." }, "faqAnswer": { "description": "Agent Assist FAQ answer data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1FaqAnswerData" }, "annotationId": { "description": "The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}", "type": "string" }, "smartComposeSuggestion": { "description": "Agent Assist Smart Compose suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SmartComposeSuggestionData" }, "cesTurnAnnotation": { "description": "The CES turn annotation.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1CesTurnAnnotation" } }, "description": "An annotation that was generated during the customer and agent interaction." }, "GoogleCloudContactcenterinsightsV1alpha1UploadConversationRequest": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1UploadConversationRequest", "properties": { "parent": { "description": "Required. The parent resource of the conversation.", "type": "string" }, "conversation": { "description": "Required. The conversation resource to create.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1Conversation" }, "conversationId": { "description": "Optional. A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`", "type": "string" }, "redactionConfig": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1RedactionConfig", "description": "Optional. DLP settings for transcript redaction. Will default to the config specified in Settings." }, "speechConfig": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SpeechConfig", "description": "Optional. Speech-to-Text configuration. Will default to the config specified in Settings." } }, "description": "Request to upload a conversation." }, "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagRequest": { "type": "object", "description": "The request for deleting a QaQuestionTag.", "properties": { "name": { "description": "Required. The name of the QaQuestionTag to delete.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1DeleteQaQuestionTagRequest" }, "GoogleCloudContactcenterinsightsV1SmartComposeSuggestionData": { "description": "Agent Assist Smart Compose suggestion data.", "properties": { "suggestion": { "description": "The content of the suggestion.", "type": "string" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "metadata": { "additionalProperties": { "type": "string" }, "type": "object", "description": "Map that contains metadata about the Smart Compose suggestion and the document from which it originates." }, "confidenceScore": { "format": "double", "type": "number", "description": "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)." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1SmartComposeSuggestionData" }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecard": { "properties": { "name": { "description": "Identifier. The scorecard name. Format: projects/{project}/locations/{location}/qaScorecards/{qa_scorecard}", "type": "string" }, "displayName": { "description": "The user-specified display name of the scorecard.", "type": "string" }, "isDefault": { "description": "Whether the scorecard is the default one for the project. A default scorecard cannot be deleted and will always appear first in scorecard selector.", "type": "boolean" }, "satisfiesPzs": { "readOnly": true, "description": "Output only. Whether this resource is zone separated.", "type": "boolean" }, "description": { "type": "string", "description": "A text description explaining the intent of the scorecard." }, "createTime": { "type": "string", "description": "Output only. The time at which this scorecard was created.", "format": "google-datetime", "readOnly": true }, "source": { "readOnly": true, "description": "Output only. The source of the scorecard.", "enumDescriptions": [ "The source of the scorecard is unspecified. Default to QA_SCORECARD_SOURCE_CUSTOMER_DEFINED.", "The scorecard is a custom scorecard created by the user.", "The scorecard is a scorecard created through discovery engine deployment.", "The scorecard is derived from the custom intent taxonomy. Customers can edit question content, but cannot delete the scorecard or add/remove questions." ], "enum": [ "QA_SCORECARD_SOURCE_UNSPECIFIED", "QA_SCORECARD_SOURCE_CUSTOMER_DEFINED", "QA_SCORECARD_SOURCE_DISCOVERY_ENGINE", "QA_SCORECARD_SOURCE_INTENT_TAXONOMY" ], "type": "string" }, "satisfiesPzi": { "description": "Output only. Whether this resource is zone isolated.", "type": "boolean", "readOnly": true }, "updateTime": { "description": "Output only. The most recent time at which the scorecard was updated.", "format": "google-datetime", "type": "string", "readOnly": true } }, "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecard", "type": "object", "description": "A QaScorecard represents a collection of questions to be scored during analysis." }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSlice": { "type": "object", "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request. For example, if the request specifies a single ISSUE dimension and it has a cardinality of 2 (i.e. the data used to compute the metrics has 2 issues in total), the response will have 2 slices: * Slice 1 -\u003e dimensions=[Issue 1] * Slice 2 -\u003e dimensions=[Issue 2]", "properties": { "timeSeries": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceTimeSeries", "description": "A time series of metric values. This is only populated if the request specifies a time granularity other than NONE." }, "total": { "$ref": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPoint", "description": "The total metric value. The interval of this data point is [starting create time, ending create time) from the request." }, "dimensions": { "type": "array", "description": "A unique combination of dimensions that this slice represents.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1mainDimension" } } }, "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSlice" }, "GoogleCloudContactcenterinsightsV1mainCreateIssueModelRequest": { "description": "The request to create an issue model.", "properties": { "parent": { "description": "Required. The parent resource of the issue model.", "type": "string" }, "issueModel": { "description": "Required. The issue model to create.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueModel" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainCreateIssueModelRequest" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartCustomPayloadPart", "properties": { "payload": { "description": "Optional. Arbitrary structured payload.", "additionalProperties": { "description": "Properties of the object.", "type": "any" }, "type": "object" }, "payloadType": { "type": "string", "description": "Optional. Type identifier for the payload." } }, "description": "A custom payload part." }, "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadataIngestConversationsStats": { "id": "GoogleCloudContactcenterinsightsV1alpha1IngestConversationsMetadataIngestConversationsStats", "properties": { "failedIngestCount": { "format": "int32", "description": "Output only. The number of objects which were unable to be ingested due to errors. The errors are populated in the partial_errors field.", "readOnly": true, "type": "integer" }, "duplicatesSkippedCount": { "type": "integer", "readOnly": true, "description": "Output only. The number of objects skipped because another conversation with the same transcript uri had already been ingested.", "format": "int32" }, "successfulIngestCount": { "description": "Output only. The number of new conversations added during this ingest operation.", "readOnly": true, "format": "int32", "type": "integer" }, "processedObjectCount": { "readOnly": true, "description": "Output only. The number of objects processed during the ingest operation.", "type": "integer", "format": "int32" } }, "type": "object", "description": "Statistics for IngestConversations operation." }, "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelRequest", "type": "object", "properties": { "name": { "description": "Required. The issue model to deploy.", "type": "string" } }, "description": "The request to deploy an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1ListIssueModelsResponse": { "type": "object", "properties": { "issueModels": { "type": "array", "description": "The issue models that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" } } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ListIssueModelsResponse", "description": "The response of listing issue models." }, "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecMetadata", "type": "object", "properties": { "partialErrors": { "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during initializing operation that might cause the operation output to be incomplete.", "type": "array" }, "createTime": { "type": "string", "description": "Output only. The time the operation was created.", "format": "google-datetime", "readOnly": true }, "endTime": { "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running.", "readOnly": true }, "request": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1alpha1InitializeEncryptionSpecRequest", "description": "Output only. The original request for initialization." } }, "description": "Metadata for initializing a location-level encryption specification." }, "GoogleCloudContactcenterinsightsV1alpha1ListDatasetsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1ListDatasetsResponse", "description": "The response to list datasets.", "properties": { "datasets": { "type": "array", "description": "The datasets that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dataset" } }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1DimensionQaQuestionAnswerDimensionMetadata": { "description": "Metadata about the QA question-answer dimension. This is useful for showing the answer distribution for questions for a given scorecard.", "type": "object", "properties": { "qaQuestionId": { "description": "Optional. The QA question ID.", "type": "string" }, "questionBody": { "description": "Optional. The full body of the question.", "type": "string" }, "answerValue": { "description": "Optional. The full body of the question.", "type": "string" }, "qaScorecardId": { "type": "string", "description": "Optional. The QA scorecard ID." } }, "id": "GoogleCloudContactcenterinsightsV1DimensionQaQuestionAnswerDimensionMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule": { "id": "GoogleCloudContactcenterinsightsV1alpha1AssessmentRule", "properties": { "createTime": { "description": "Output only. The time at which this assessment rule was created.", "readOnly": true, "type": "string", "format": "google-datetime" }, "name": { "description": "Identifier. The resource name of the assessment rule. Format: projects/{project}/locations/{location}/assessmentRules/{assessment_rule}", "type": "string" }, "satisfiesPzs": { "description": "Output only. Whether this resource is zone separated.", "readOnly": true, "type": "boolean" }, "displayName": { "description": "Display Name of the assessment rule.", "type": "string" }, "active": { "description": "If true, apply this rule to conversations. Otherwise, this rule is inactive.", "type": "boolean" }, "scheduleInfo": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ScheduleInfo", "description": "Schedule info for the assessment rule." }, "updateTime": { "format": "google-datetime", "readOnly": true, "description": "Output only. The most recent time at which this assessment rule was updated.", "type": "string" }, "sampleRule": { "description": "The sample rule for the assessment rule.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1SampleRule" }, "satisfiesPzi": { "type": "boolean", "readOnly": true, "description": "Output only. Whether this resource is zone isolated." } }, "type": "object", "description": "The CCAI Insights project wide assessment rule. This assessment rule will be applied to all conversations from the previous sampling cycle that match the sample rule defined in the assessment rule. One project can have multiple assessment rules." }, "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelRequest": { "properties": { "name": { "description": "Required. The name of the issue model to delete.", "type": "string" } }, "description": "The request to delete an issue model.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainDeleteIssueModelRequest" }, "GoogleCloudContactcenterinsightsV1ImportIssueModelResponse": { "id": "GoogleCloudContactcenterinsightsV1ImportIssueModelResponse", "type": "object", "properties": { "issueModel": { "$ref": "GoogleCloudContactcenterinsightsV1IssueModel", "description": "The issue model that was imported." } }, "description": "Response from import issue model" }, "GoogleCloudContactcenterinsightsV1alpha1Entity": { "description": "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.", "id": "GoogleCloudContactcenterinsightsV1alpha1Entity", "type": "object", "properties": { "type": { "description": "The entity type.", "type": "string", "enumDescriptions": [ "Unspecified.", "Person.", "Location.", "Organization.", "Event.", "Artwork.", "Consumer product.", "Other types of entities.", "Phone number. The metadata lists the phone number (formatted according to local convention), plus whichever additional elements appear in the text: * `number` - The actual number, broken down into sections according to local convention. * `national_prefix` - Country code, if detected. * `area_code` - Region or area code, if detected. * `extension` - Phone extension (to be dialed after connection), if detected.", "Address. The metadata identifies the street number and locality plus whichever additional elements appear in the text: * `street_number` - Street number. * `locality` - City or town. * `street_name` - Street/route name, if detected. * `postal_code` - Postal code, if detected. * `country` - Country, if detected. * `broad_region` - Administrative area, such as the state, if detected. * `narrow_region` - Smaller administrative area, such as county, if detected. * `sublocality` - Used in Asian addresses to demark a district within a city, if detected.", "Date. The metadata identifies the components of the date: * `year` - Four digit year, if detected. * `month` - Two digit month number, if detected. * `day` - Two digit day number, if detected.", "Number. The metadata is the number itself.", "Price. The metadata identifies the `value` and `currency`." ], "enum": [ "TYPE_UNSPECIFIED", "PERSON", "LOCATION", "ORGANIZATION", "EVENT", "WORK_OF_ART", "CONSUMER_GOOD", "OTHER", "PHONE_NUMBER", "ADDRESS", "DATE", "NUMBER", "PRICE" ] }, "salience": { "type": "number", "format": "float", "description": "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." }, "metadata": { "additionalProperties": { "type": "string" }, "type": "object", "description": "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." }, "displayName": { "type": "string", "description": "The representative name for the entity." }, "sentiment": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData", "description": "The aggregate sentiment expressed for this entity in the conversation." } } }, "GoogleCloudContactcenterinsightsV1AnnotationBoundary": { "properties": { "transcriptIndex": { "description": "The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.", "type": "integer", "format": "int32" }, "wordIndex": { "description": "The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.", "type": "integer", "format": "int32" } }, "description": "A point in a conversation that marks the start or the end of an annotation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1AnnotationBoundary" }, "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfigScorecardList": { "properties": { "qaScorecardRevisions": { "items": { "type": "string" }, "description": "List of QaScorecardRevisions.", "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelectorQaConfigScorecardList", "type": "object", "description": "Container for a list of scorecards." }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsMetadata": { "properties": { "resultIsTruncated": { "type": "boolean", "description": "Whether the result rows were truncated because the result row size is too large to materialize." } }, "type": "object", "description": "The metadata from querying metrics.", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsMetadata" }, "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotation": { "id": "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotation", "description": "An annotation that was generated during the customer and agent interaction.", "properties": { "endBoundary": { "description": "The boundary in the conversation where the annotation ends, inclusive.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary" }, "cesTurnAnnotation": { "description": "The CES turn annotation.", "$ref": "GoogleCloudContactcenterinsightsV1mainCesTurnAnnotation" }, "faqAnswer": { "$ref": "GoogleCloudContactcenterinsightsV1mainFaqAnswerData", "description": "Agent Assist FAQ answer data." }, "createTime": { "format": "google-datetime", "description": "The time at which this annotation was created.", "type": "string" }, "dialogflowInteraction": { "description": "Dialogflow interaction data.", "$ref": "GoogleCloudContactcenterinsightsV1mainDialogflowInteractionData" }, "annotationId": { "type": "string", "description": "The unique identifier of the annotation. Format: projects/{project}/locations/{location}/conversationDatasets/{dataset}/conversationDataItems/{data_item}/conversationAnnotations/{annotation}" }, "smartComposeSuggestion": { "description": "Agent Assist Smart Compose suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1mainSmartComposeSuggestionData" }, "answerFeedback": { "description": "The feedback that the customer has about the answer in `data`.", "$ref": "GoogleCloudContactcenterinsightsV1mainAnswerFeedback" }, "startBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotationBoundary", "description": "The boundary in the conversation where the annotation starts, inclusive." }, "userInput": { "$ref": "GoogleCloudContactcenterinsightsV1mainRuntimeAnnotationUserInput", "description": "Explicit input used for generating the answer" }, "articleSuggestion": { "description": "Agent Assist Article Suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1mainArticleSuggestionData" }, "smartReply": { "$ref": "GoogleCloudContactcenterinsightsV1mainSmartReplyData", "description": "Agent Assist Smart Reply data." }, "conversationSummarizationSuggestion": { "description": "Conversation summarization suggestion data.", "$ref": "GoogleCloudContactcenterinsightsV1mainConversationSummarizationSuggestionData" }, "cesEndSessionAnnotation": { "description": "The CES end session annotation.", "$ref": "GoogleCloudContactcenterinsightsV1mainCesEndSessionAnnotation" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStats": { "type": "object", "description": "Statistics for TestCorrelationConfig operation.", "id": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStats", "properties": { "partialErrors": { "type": "array", "items": { "$ref": "GoogleRpcStatus" }, "description": "Partial errors during test correlation config operation that might cause the operation output to be incomplete." }, "failedConversationsCount": { "type": "integer", "description": "The number of conversations that failed correlation.", "format": "int32" }, "sampledConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations sampled." }, "conversationCorrelationErrors": { "description": "A list of errors that occurred during correlation, one for each conversation that failed.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1TestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError" }, "type": "array" }, "correlatedConversationsCount": { "type": "integer", "format": "int32", "description": "The number of conversations correlated." } } }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessage": { "properties": { "createTime": { "readOnly": true, "format": "google-datetime", "type": "string", "description": "Output only. For user messages, this is the time at which the system received the message. For system messages, this is the time at which the system generated the message." }, "userMessage": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageUserMessage", "description": "A message from the user that is interacting with the system." }, "systemMessageWrapper": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessages", "description": "A wrapper for system messages per turn." }, "messageId": { "description": "The message id of the message.", "type": "string" } }, "description": "The message in the conversation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessage" }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartChip": { "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartChip", "type": "object", "description": "A suggestion chip.", "properties": { "text": { "description": "Optional. The chip label or text.", "type": "string" }, "actionUri": { "description": "Optional. Optional action or destination URI triggered by the chip.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceTimeSeries": { "id": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceTimeSeries", "description": "A time series of metric values.", "type": "object", "properties": { "dataPoints": { "description": "The data points that make up the time series .", "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QueryMetricsResponseSliceDataPoint" } } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio": { "description": "A wrapper for holding the audio for any given turn.", "properties": { "audioGcsUri": { "description": "The Cloud Storage URI of the audio for any given turn.", "type": "string" }, "audioDuration": { "type": "string", "format": "google-duration", "description": "The duration of the audio." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationDataSourceTurnLevelAudio" }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput", "description": "A text output message from the system.", "type": "object", "properties": { "text": { "type": "array", "description": "The parts of the message.", "items": { "type": "string" } }, "textType": { "enumDescriptions": [ "The default text type.", "The text is a thinking plan generated by the thinking tool.", "The text is a final response to the user question.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ], "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "description": "The type of the text message.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelMetadata": { "id": "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelMetadata", "description": "Metadata for undeploying an issue model.", "properties": { "endTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation finished running." }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1mainUndeployIssueModelRequest", "description": "The original request for undeployment." }, "createTime": { "format": "google-datetime", "type": "string", "readOnly": true, "description": "Output only. The time the operation was created." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagMetadata": { "description": "The metadata for deleting a QaQuestionTag Resource.", "type": "object", "properties": { "createTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The time the operation was created." }, "endTime": { "type": "string", "description": "Output only. The time the operation finished running.", "readOnly": true, "format": "google-datetime" }, "request": { "readOnly": true, "description": "Output only. The original request.", "$ref": "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagRequest" } }, "id": "GoogleCloudContactcenterinsightsV1mainDeleteQaQuestionTagMetadata" }, "GoogleCloudContactcenterinsightsV1alpha1CreateIssueRequest": { "description": "The request to create an issue.", "id": "GoogleCloudContactcenterinsightsV1alpha1CreateIssueRequest", "properties": { "parent": { "type": "string", "description": "Required. The parent resource of the issue." }, "issue": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Issue", "description": "Required. The values for the new issue." } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1Entity": { "id": "GoogleCloudContactcenterinsightsV1Entity", "type": "object", "properties": { "metadata": { "type": "object", "additionalProperties": { "type": "string" }, "description": "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." }, "displayName": { "type": "string", "description": "The representative name for the entity." }, "salience": { "description": "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.", "type": "number", "format": "float" }, "type": { "type": "string", "enum": [ "TYPE_UNSPECIFIED", "PERSON", "LOCATION", "ORGANIZATION", "EVENT", "WORK_OF_ART", "CONSUMER_GOOD", "OTHER", "PHONE_NUMBER", "ADDRESS", "DATE", "NUMBER", "PRICE" ], "enumDescriptions": [ "Unspecified.", "Person.", "Location.", "Organization.", "Event.", "Artwork.", "Consumer product.", "Other types of entities.", "Phone number. The metadata lists the phone number (formatted according to local convention), plus whichever additional elements appear in the text: * `number` - The actual number, broken down into sections according to local convention. * `national_prefix` - Country code, if detected. * `area_code` - Region or area code, if detected. * `extension` - Phone extension (to be dialed after connection), if detected.", "Address. The metadata identifies the street number and locality plus whichever additional elements appear in the text: * `street_number` - Street number. * `locality` - City or town. * `street_name` - Street/route name, if detected. * `postal_code` - Postal code, if detected. * `country` - Country, if detected. * `broad_region` - Administrative area, such as the state, if detected. * `narrow_region` - Smaller administrative area, such as county, if detected. * `sublocality` - Used in Asian addresses to demark a district within a city, if detected.", "Date. The metadata identifies the components of the date: * `year` - Four digit year, if detected. * `month` - Two digit month number, if detected. * `day` - Two digit day number, if detected.", "Number. The metadata is the number itself.", "Price. The metadata identifies the `value` and `currency`." ], "description": "The entity type." }, "sentiment": { "description": "The aggregate sentiment expressed for this entity in the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" } }, "description": "The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location." }, "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecRequest": { "description": "The request to initialize a location-level encryption specification.", "properties": { "encryptionSpec": { "$ref": "GoogleCloudContactcenterinsightsV1mainEncryptionSpec", "description": "Required. The encryption spec used for CMEK encryption. It is required that the kms key is in the same region as the endpoint. The same key will be used for all provisioned resources, if encryption is available. If the `kms_key_name` field is left empty, no encryption will be enforced." } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainInitializeEncryptionSpecRequest" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart": { "description": "A product collection part.", "properties": { "products": { "type": "array", "description": "Optional. List of products.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartProduct" } } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartProductCollectionPart" }, "GoogleCloudContactcenterinsightsV1alpha1NoteAssessmentNote": { "properties": {}, "description": "A note about the entire parent assessment.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1NoteAssessmentNote" }, "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionAnswerDimensionMetadata": { "type": "object", "description": "Metadata about the QA question-answer dimension. This is useful for showing the answer distribution for questions for a given scorecard.", "id": "GoogleCloudContactcenterinsightsV1mainDimensionQaQuestionAnswerDimensionMetadata", "properties": { "qaScorecardId": { "description": "Optional. The QA scorecard ID.", "type": "string" }, "qaQuestionId": { "type": "string", "description": "Optional. The QA question ID." }, "questionBody": { "type": "string", "description": "Optional. The full body of the question." }, "answerValue": { "type": "string", "description": "Optional. The full body of the question." } } }, "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequest": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequest", "type": "object", "properties": { "filter": { "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" }, "feedbackLabelType": { "type": "string", "enum": [ "FEEDBACK_LABEL_TYPE_UNSPECIFIED", "QUALITY_AI", "TOPIC_MODELING", "AGENT_ASSIST_SUMMARY" ], "enumDescriptions": [ "Unspecified format", "Downloaded file will contain all Quality AI labels from the latest scorecard revision.", "Downloaded file will contain only Topic Modeling labels.", "Agent Assist Summarization labels." ], "description": "Optional. The type of feedback labels that will be downloaded." }, "maxDownloadCount": { "type": "integer", "description": "Optional. Limits the maximum number of feedback labels that will be downloaded. The first `N` feedback labels will be downloaded.", "format": "int32" }, "sheetsDestination": { "description": "A sheets document destination.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestSheetsDestination" }, "templateQaScorecardId": { "type": "array", "description": "Optional. If set, a template for labeling conversations and scorecard questions will be created from the conversation_filter and the questions under the scorecard(s). The feedback label `filter` will be ignored.", "items": { "type": "string" } }, "conversationFilter": { "type": "string", "description": "Optional. Filter parent conversations to download feedback labels for. When specified, the feedback labels will be downloaded for the conversations that match the filter. If `template_qa_scorecard_id` is set, all the conversations that match the filter will be paired with the questions under the scorecard for labeling." }, "gcsDestination": { "description": "A cloud storage bucket destination.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1BulkDownloadFeedbackLabelsRequestGcsDestination" } }, "description": "Request for the BulkDownloadFeedbackLabel endpoint." }, "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig": { "description": "Date range configuration for dashboard charts.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfig", "properties": { "absoluteDateRange": { "description": "An absolute date range.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryInterval" }, "relativeDateRange": { "description": "A relative date range.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1DateRangeConfigRelativeDateRange" } } }, "GoogleCloudContactcenterinsightsV1IngestConversationsRequestConversationConfig": { "id": "GoogleCloudContactcenterinsightsV1IngestConversationsRequestConversationConfig", "description": "Configuration that applies to all conversations.", "type": "object", "properties": { "agentChannel": { "type": "integer", "format": "int32", "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed." }, "customerChannel": { "description": "Optional. Indicates which of the channels, 1 or 2, contains the agent. Note that this must be set for conversations to be properly displayed and analyzed.", "type": "integer", "format": "int32" }, "agentId": { "type": "string", "description": "Optional. An opaque, user-specified string representing a human agent who handled all conversations in the import. Note that this will be overridden if per-conversation metadata is provided through the `metadata_bucket_uri`." } } }, "GoogleCloudContactcenterinsightsV1ConversationLevelSentiment": { "properties": { "sentimentData": { "description": "Data specifying sentiment.", "$ref": "GoogleCloudContactcenterinsightsV1SentimentData" }, "channelTag": { "description": "The channel of the audio that the data applies to.", "format": "int32", "type": "integer" } }, "description": "One channel of conversation-level sentiment data.", "id": "GoogleCloudContactcenterinsightsV1ConversationLevelSentiment", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1SettingsAnalysisConfig": { "id": "GoogleCloudContactcenterinsightsV1alpha1SettingsAnalysisConfig", "type": "object", "properties": { "uploadConversationAnalysisPercentage": { "description": "Percentage of conversations created using the UploadConversation endpoint to analyze automatically, between [0, 100].", "type": "number", "format": "double" }, "runtimeIntegrationAnalysisPercentage": { "type": "number", "format": "double", "description": "Percentage of conversations created using Dialogflow runtime integration to analyze automatically, between [0, 100]." }, "annotatorSelector": { "description": "To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotatorSelector" } }, "description": "Default configuration when creating Analyses in Insights." }, "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessage": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessage", "description": "A message from the system in response to the user. This message can also be a message from the user as historical context for multiturn conversations with the system.", "properties": { "generatedSqlQuery": { "description": "Raw SQL from LLM, before templatization", "type": "string" }, "chartSpec": { "description": "Chart spec from LLM", "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." } }, "userProvidedSqlQuery": { "description": "Optional. User provided SQL query", "type": "string" }, "textMessage": { "$ref": "GoogleCloudContactcenterinsightsV1GenerativeInsightConversationTranscriptMessageSystemMessageTextOutput", "description": "A direct natural language response to the user message." }, "userProvidedChartSpec": { "description": "Optional. User provided chart spec", "type": "object", "additionalProperties": { "description": "Properties of the object.", "type": "any" } } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1IssueMatchData": { "id": "GoogleCloudContactcenterinsightsV1IssueMatchData", "type": "object", "description": "The data for an issue match annotation.", "properties": { "issueAssignment": { "$ref": "GoogleCloudContactcenterinsightsV1IssueAssignment", "description": "Information about the issue's assignment." } } }, "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadata": { "id": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadata", "properties": { "stats": { "$ref": "GoogleCloudContactcenterinsightsV1TestCorrelationConfigMetadataFullConversationCorrelationStats", "description": "The statistics for the operation." }, "dataset": { "type": "string", "description": "The dataset used for sampling conversations." }, "createTime": { "type": "string", "description": "Output only. The time the operation was created.", "readOnly": true, "format": "google-datetime" } }, "type": "object", "description": "Metadata for testing correlation config." }, "GoogleCloudContactcenterinsightsV1UploadConversationRequest": { "id": "GoogleCloudContactcenterinsightsV1UploadConversationRequest", "type": "object", "properties": { "conversation": { "$ref": "GoogleCloudContactcenterinsightsV1Conversation", "description": "Required. The conversation resource to create." }, "redactionConfig": { "description": "Optional. DLP settings for transcript redaction. Will default to the config specified in Settings.", "$ref": "GoogleCloudContactcenterinsightsV1RedactionConfig" }, "conversationId": { "description": "Optional. 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 4-64 characters and must match the regular expression `^[a-z0-9-]{4,64}$`. Valid characters are `a-z-`", "type": "string" }, "parent": { "type": "string", "description": "Required. The parent resource of the conversation." }, "speechConfig": { "$ref": "GoogleCloudContactcenterinsightsV1SpeechConfig", "description": "Optional. Speech-to-Text configuration. Will default to the config specified in Settings." } }, "description": "Request to upload a conversation." }, "GoogleCloudContactcenterinsightsV1alpha1ChartDataSource": { "id": "GoogleCloudContactcenterinsightsV1alpha1ChartDataSource", "type": "object", "description": "The request data for visualizing the dataset in the chart.", "properties": { "queryMetrics": { "description": "Use the existing QueryMetrics to generate the chart.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetrics" }, "generativeInsights": { "description": "Use natural language query to generate the chart.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsights" } } }, "GoogleCloudContactcenterinsightsV1QaScorecardResultQaTagResult": { "description": "Tags and their corresponding results.", "properties": { "potentialScore": { "type": "number", "description": "The potential score the tag applies to.", "format": "double" }, "score": { "type": "number", "format": "double", "description": "The score the tag applies to." }, "tag": { "description": "The tag the score applies to.", "type": "string" }, "normalizedScore": { "type": "number", "format": "double", "description": "The normalized score the tag applies to." } }, "id": "GoogleCloudContactcenterinsightsV1QaScorecardResultQaTagResult", "type": "object" }, "GoogleCloudContactcenterinsightsV1IssueAssignment": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1IssueAssignment", "description": "Information about the issue.", "properties": { "displayName": { "description": "Immutable. Display name of the assigned issue. This field is set at time of analysis and immutable since then.", "type": "string" }, "issue": { "description": "Resource name of the assigned issue.", "type": "string" }, "score": { "description": "Score indicating the likelihood of the issue assignment. currently bounded on [0,1].", "type": "number", "format": "double" } } }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsResponse": { "type": "object", "properties": {}, "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsResponse", "description": "Response for the BulkDownloadFeedbackLabel endpoint." }, "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponseTextOutput": { "id": "GoogleCloudContactcenterinsightsV1GenerativeInsightsResponseGenerativeResponseTextOutput", "description": "Wrapper for text output.", "type": "object", "properties": { "textType": { "enum": [ "TYPE_UNSPECIFIED", "THOUGHT", "FINAL_RESPONSE", "PROGRESS" ], "description": "The type of text output.", "type": "string", "enumDescriptions": [ "The type is unspecified.", "The text is part of LLM reasoning.", "The text is the final answer from LLM.", "The text is an informational message about the agent's progress, such as a tool being invoked. This is distinct from the agent's internal thought process (`THOUGHT`) and the final answer to the user (`FINAL_RESPONSE`). These messages provide insight into the agent's actions." ] }, "text": { "items": { "type": "string" }, "type": "array", "description": "The text output from the LLM." } } }, "GoogleCloudContactcenterinsightsV1mainDialogflowSource": { "properties": { "dialogflowConversation": { "type": "string", "description": "Output only. The name of the Dialogflow conversation that this conversation resource is derived from. Format: projects/{project}/locations/{location}/conversations/{conversation}", "readOnly": true }, "audioUri": { "description": "Cloud Storage URI that points to a file that contains the conversation audio.", "type": "string" } }, "type": "object", "description": "A Dialogflow source of conversation data.", "id": "GoogleCloudContactcenterinsightsV1mainDialogflowSource" }, "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleGroup": { "id": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRuleGroup", "type": "object", "properties": { "phraseMatchRules": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchRule" }, "description": "A list of phrase match rules that are included in this group.", "type": "array" }, "type": { "description": "Required. The type of this phrase match rule group.", "enumDescriptions": [ "Unspecified.", "Must meet all phrase match rules or there is no match.", "If any of the phrase match rules are met, there is a match." ], "enum": [ "PHRASE_MATCH_RULE_GROUP_TYPE_UNSPECIFIED", "ALL_OF", "ANY_OF" ], "type": "string" } }, "description": "A message representing a rule in the phrase matcher." }, "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError": { "type": "object", "properties": { "conversation": { "description": "The conversation resource name that had an error during correlation.", "type": "string" }, "status": { "$ref": "GoogleRpcStatus", "description": "The error status." } }, "description": "An error that occurred during correlation for a specific conversation.", "id": "GoogleCloudContactcenterinsightsV1mainTestCorrelationConfigMetadataFullConversationCorrelationStatsConversationCorrelationError" }, "GoogleCloudContactcenterinsightsV1CreateIssueRequest": { "id": "GoogleCloudContactcenterinsightsV1CreateIssueRequest", "properties": { "issue": { "$ref": "GoogleCloudContactcenterinsightsV1Issue", "description": "Required. The values for the new issue." }, "parent": { "description": "Required. The parent resource of the issue.", "type": "string" } }, "type": "object", "description": "The request to create an issue." }, "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelResponse": { "description": "Response from export issue model", "id": "GoogleCloudContactcenterinsightsV1alpha1ExportIssueModelResponse", "properties": {}, "type": "object" }, "GoogleProtobufEmpty": { "properties": {}, "type": "object", "id": "GoogleProtobufEmpty", "description": "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); }" }, "GoogleCloudContactcenterinsightsV1Intent": { "properties": { "id": { "type": "string", "description": "The unique identifier of the intent." }, "displayName": { "description": "The human-readable name of the intent.", "type": "string" } }, "description": "The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE.", "id": "GoogleCloudContactcenterinsightsV1Intent", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainConversationSummarizationSuggestionData": { "type": "object", "description": "Conversation summarization suggestion data.", "id": "GoogleCloudContactcenterinsightsV1mainConversationSummarizationSuggestionData", "properties": { "conversationModel": { "description": "The name of the model that generates this summary. Format: projects/{project}/locations/{location}/conversationModels/{conversation_model}", "type": "string" }, "textSections": { "description": "The summarization content that is divided into sections. The key is the section's name and the value is the section's content. There is no specific format for the key or value.", "type": "object", "additionalProperties": { "type": "string" } }, "answerRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "generatorId": { "description": "Agent Assist generator ID.", "type": "string" }, "text": { "description": "The summarization content that is concatenated into one string.", "type": "string" }, "confidence": { "format": "float", "type": "number", "description": "The confidence score of the summarization." }, "metadata": { "type": "object", "description": "A map that contains metadata about the summarization and the document from which it originates.", "additionalProperties": { "type": "string" } } } }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageUserMessage": { "type": "object", "properties": { "text": { "description": "A message from the user that is interacting with the system.", "type": "string" } }, "description": "The user message.", "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageUserMessage" }, "GoogleCloudContactcenterinsightsV1Conversation": { "id": "GoogleCloudContactcenterinsightsV1Conversation", "description": "The conversation resource.", "properties": { "name": { "type": "string", "description": "Immutable. The resource name of the conversation. Format: projects/{project}/locations/{location}/conversations/{conversation}" }, "duration": { "description": "Output only. The duration of the conversation.", "readOnly": true, "format": "google-duration", "type": "string" }, "agentId": { "description": "An opaque, user-specified string representing the human agent who handled the conversation.", "type": "string" }, "startTime": { "type": "string", "format": "google-datetime", "description": "The time at which the conversation started." }, "dataSource": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationDataSource", "description": "The source of the audio and transcription for the conversation." }, "latestAnalysis": { "readOnly": true, "$ref": "GoogleCloudContactcenterinsightsV1Analysis", "description": "Output only. The conversation's latest analysis, if one exists." }, "createTime": { "format": "google-datetime", "type": "string", "description": "Output only. The time at which the conversation was created.", "readOnly": true }, "turnCount": { "type": "integer", "description": "Output only. The number of turns in the conversation.", "readOnly": true, "format": "int32" }, "callMetadata": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationCallMetadata", "description": "Call-specific metadata." }, "labels": { "additionalProperties": { "type": "string" }, "description": "A map for the user to specify any custom fields. A maximum of 100 labels per conversation is allowed, with a maximum of 256 characters per entry.", "type": "object" }, "satisfiesPzi": { "readOnly": true, "description": "Output only. Whether this resource is zone isolated.", "type": "boolean" }, "runtimeAnnotations": { "type": "array", "description": "Output only. The annotations that were generated during the customer and agent interaction.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1RuntimeAnnotation" }, "readOnly": true }, "dialogflowIntents": { "readOnly": true, "description": "Output only. All the matched Dialogflow intents in the call. The key corresponds to a Dialogflow intent, format: projects/{project}/agent/{agent}/intents/{intent}", "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1DialogflowIntent" }, "type": "object" }, "languageCode": { "description": "A user-specified language code for the conversation.", "type": "string" }, "updateTime": { "type": "string", "description": "Output only. The most recent time at which the conversation was updated.", "format": "google-datetime", "readOnly": true }, "latestSummary": { "readOnly": true, "description": "Output only. Latest summary of the conversation.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationSummarizationSuggestionData" }, "medium": { "description": "Immutable. The conversation medium.", "type": "string", "enum": [ "MEDIUM_UNSPECIFIED", "PHONE_CALL", "CHAT" ], "enumDescriptions": [ "Default value for unspecified.", "The format for conversations that took place over the phone.", "The format for conversations that took place over chat." ] }, "obfuscatedUserId": { "type": "string", "description": "Obfuscated user ID which the customer sent to us." }, "ttl": { "description": "Input only. The TTL for this resource. If specified, then this TTL will be used to calculate the expire time.", "type": "string", "format": "google-duration" }, "satisfiesPzs": { "readOnly": true, "type": "boolean", "description": "Output only. Whether this resource is zone separated." }, "transcript": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationTranscript", "description": "Output only. The conversation transcript.", "readOnly": true }, "correlationInfo": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationCorrelationInfo", "description": "Output only. Info for correlating across conversations.", "readOnly": true }, "qualityMetadata": { "description": "Conversation metadata related to quality management.", "$ref": "GoogleCloudContactcenterinsightsV1ConversationQualityMetadata" }, "expireTime": { "format": "google-datetime", "description": "The time at which this conversation should expire. After this time, the conversation data and any associated analyses will be deleted.", "type": "string" }, "metadataJson": { "description": "Optional. JSON metadata encoded as a string. This field is primarily used by Insights integrations with various telephony systems and must be in one of Insight's supported formats.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1mainIntentMatchData": { "id": "GoogleCloudContactcenterinsightsV1mainIntentMatchData", "type": "object", "description": "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.", "properties": { "intentUniqueId": { "description": "The id of the matched intent. Can be used to retrieve the corresponding intent information.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainSmartReplyData": { "description": "Agent Assist Smart Reply data.", "properties": { "reply": { "description": "The content of the reply.", "type": "string" }, "metadata": { "description": "Map that contains metadata about the Smart Reply and the document from which it originates.", "additionalProperties": { "type": "string" }, "type": "object" }, "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "confidenceScore": { "description": "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).", "format": "double", "type": "number" } }, "id": "GoogleCloudContactcenterinsightsV1mainSmartReplyData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessage": { "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessage", "properties": { "textOutput": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightsChartConversationMessageSystemMessageTextOutput", "description": "A direct natural language response to the user message." }, "chartSpec": { "type": "object", "additionalProperties": { "type": "any", "description": "Properties of the object." }, "description": "Chart spec from LLM" }, "generatedSqlQuery": { "type": "string", "description": "Raw SQL from LLM, before templatization" } }, "description": "A message from the system in response to the user. This message can also be a message from the user as historical context for multiturn conversations with the system.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestSheetsDestination": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainBulkDownloadFeedbackLabelsRequestSheetsDestination", "description": "Google Sheets document details to write the feedback labels to.", "properties": { "sheetTitle": { "description": "Optional. The title of the new sheet to write the feedback labels to.", "type": "string" }, "spreadsheetUri": { "description": "Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA. The spreadsheet ID written to will be returned as `file_names` in the BulkDownloadFeedbackLabelsMetadata.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1alpha1CallAnnotation": { "id": "GoogleCloudContactcenterinsightsV1alpha1CallAnnotation", "type": "object", "description": "A piece of metadata that applies to a window of a call.", "properties": { "annotationEndBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary", "description": "The boundary in the conversation where the annotation ends, inclusive." }, "interruptionData": { "description": "Data specifying an interruption.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1InterruptionData" }, "entityMentionData": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1EntityMentionData", "description": "Data specifying an entity mention." }, "intentMatchData": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IntentMatchData", "description": "Data specifying an intent match." }, "sentimentData": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SentimentData", "description": "Data specifying sentiment." }, "holdData": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1HoldData", "description": "Data specifying a hold." }, "channelTag": { "type": "integer", "description": "The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.", "format": "int32" }, "silenceData": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1SilenceData", "description": "Data specifying silence." }, "annotationStartBoundary": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1AnnotationBoundary", "description": "The boundary in the conversation where the annotation starts, inclusive." }, "issueMatchData": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueMatchData", "description": "Data specifying an issue match." }, "phraseMatchData": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1PhraseMatchData", "description": "Data specifying a phrase match." } } }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartListPart": { "properties": { "items": { "description": "Optional. List items.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartListItem" }, "type": "array" }, "listType": { "description": "Optional. The type of list.", "enum": [ "LIST_TYPE_UNSPECIFIED", "UNORDERED", "ORDERED_NUMBER", "ORDERED_ALPHA" ], "type": "string", "enumDescriptions": [ "Unspecified list type.", "Unordered list.", "Ordered numbered list.", "Ordered alphabetic list." ] } }, "type": "object", "description": "A list part.", "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartListPart" }, "GoogleCloudContactcenterinsightsV1alpha1CesTurnAnnotation": { "properties": { "rootSpan": { "description": "The root span of the action processing.", "$ref": "GoogleCloudCesV1mainSpan" }, "messages": { "description": "The messages in the turn.", "items": { "$ref": "GoogleCloudCesV1mainMessage" }, "type": "array" } }, "description": "The CES diagnostic information.", "id": "GoogleCloudContactcenterinsightsV1alpha1CesTurnAnnotation", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResult": { "id": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResult", "type": "object", "properties": { "normalizedScore": { "description": "The normalized score, which is the score divided by the potential score. Any manual edits are included if they exist.", "type": "number", "format": "double" }, "potentialScore": { "format": "double", "type": "number", "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation." }, "name": { "description": "Identifier. The name of the scorecard result. Format: projects/{project}/locations/{location}/qaScorecardResults/{qa_scorecard_result}", "type": "string" }, "conversation": { "type": "string", "description": "The conversation scored by this result." }, "qaScorecardRevision": { "type": "string", "description": "The QaScorecardRevision scored by this result." }, "qaTagResults": { "description": "Collection of tags and their scores.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultQaTagResult" }, "type": "array" }, "scoreSources": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaScorecardResultScoreSource" }, "description": "List of all individual score sets.", "type": "array" }, "agentId": { "description": "ID of the agent that handled the conversation.", "type": "string" }, "score": { "description": "The overall numerical score of the result, incorporating any manual edits if they exist.", "format": "double", "type": "number" }, "qaAnswers": { "type": "array", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QaAnswer" }, "description": "Set of QaAnswers represented in the result." }, "createTime": { "description": "Output only. The timestamp that the revision was created.", "type": "string", "readOnly": true, "format": "google-datetime" } }, "description": "The results of scoring a single conversation against a QaScorecard. Contains a collection of QaAnswers and aggregate score." }, "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue": { "properties": { "normalizedScore": { "type": "number", "format": "double", "readOnly": true, "description": "Output only. Normalized score of the questions. Calculated as score / potential_score." }, "potentialScore": { "format": "double", "readOnly": true, "type": "number", "description": "Output only. The maximum potential score of the question." }, "naValue": { "description": "A value of \"Not Applicable (N/A)\". Should only ever be `true`.", "type": "boolean" }, "numValue": { "description": "Numerical value.", "type": "number", "format": "double" }, "score": { "readOnly": true, "format": "double", "type": "number", "description": "Output only. Numerical score of the answer." }, "skipValue": { "readOnly": true, "description": "Output only. A value of \"Skip\". If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations. This would mean that the question was not evaluated.", "type": "boolean" }, "strValue": { "description": "String value.", "type": "string" }, "boolValue": { "description": "Boolean value.", "type": "boolean" }, "key": { "type": "string", "description": "A short string used as an identifier. Matches the value used in QaQuestion.AnswerChoice.key." } }, "id": "GoogleCloudContactcenterinsightsV1QaAnswerAnswerValue", "description": "Message for holding the value of a QaAnswer. QaQuestion.AnswerChoice defines the possible answer values for a question.", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainSampleRule": { "id": "GoogleCloudContactcenterinsightsV1mainSampleRule", "description": "Message for sampling conversations.", "type": "object", "properties": { "dimension": { "description": "Optional. Group by dimension to sample the conversation. If no dimension is provided, the sampling will be applied to the project level. Current supported dimensions is 'quality_metadata.agent_info.agent_id'.", "type": "string" }, "samplePercentage": { "description": "Percentage of conversations that we should sample based on the dimension between [0, 100].", "format": "double", "type": "number" }, "sampleRow": { "type": "string", "format": "int64", "description": "Number of the conversations that we should sample based on the dimension." }, "conversationFilter": { "type": "string", "description": "To specify the filter for the conversions that should apply this sample rule. An empty filter means this sample rule applies to all conversations." } } }, "GoogleCloudContactcenterinsightsV1mainEntity": { "description": "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.", "id": "GoogleCloudContactcenterinsightsV1mainEntity", "type": "object", "properties": { "displayName": { "description": "The representative name for the entity.", "type": "string" }, "type": { "description": "The entity type.", "enum": [ "TYPE_UNSPECIFIED", "PERSON", "LOCATION", "ORGANIZATION", "EVENT", "WORK_OF_ART", "CONSUMER_GOOD", "OTHER", "PHONE_NUMBER", "ADDRESS", "DATE", "NUMBER", "PRICE" ], "enumDescriptions": [ "Unspecified.", "Person.", "Location.", "Organization.", "Event.", "Artwork.", "Consumer product.", "Other types of entities.", "Phone number. The metadata lists the phone number (formatted according to local convention), plus whichever additional elements appear in the text: * `number` - The actual number, broken down into sections according to local convention. * `national_prefix` - Country code, if detected. * `area_code` - Region or area code, if detected. * `extension` - Phone extension (to be dialed after connection), if detected.", "Address. The metadata identifies the street number and locality plus whichever additional elements appear in the text: * `street_number` - Street number. * `locality` - City or town. * `street_name` - Street/route name, if detected. * `postal_code` - Postal code, if detected. * `country` - Country, if detected. * `broad_region` - Administrative area, such as the state, if detected. * `narrow_region` - Smaller administrative area, such as county, if detected. * `sublocality` - Used in Asian addresses to demark a district within a city, if detected.", "Date. The metadata identifies the components of the date: * `year` - Four digit year, if detected. * `month` - Two digit month number, if detected. * `day` - Two digit day number, if detected.", "Number. The metadata is the number itself.", "Price. The metadata identifies the `value` and `currency`." ], "type": "string" }, "metadata": { "type": "object", "description": "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.", "additionalProperties": { "type": "string" } }, "sentiment": { "$ref": "GoogleCloudContactcenterinsightsV1mainSentimentData", "description": "The aggregate sentiment expressed for this entity in the conversation." }, "salience": { "description": "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.", "type": "number", "format": "float" } } }, "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSlice": { "type": "object", "properties": { "total": { "description": "The total metric value. The interval of this data point is [starting create time, ending create time) from the request.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceDataPoint" }, "timeSeries": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSliceTimeSeries", "description": "A time series of metric values. This is only populated if the request specifies a time granularity other than NONE." }, "dimensions": { "type": "array", "description": "A unique combination of dimensions that this slice represents.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1Dimension" } } }, "description": "A slice contains a total and (if the request specified a time granularity) a time series of metric values. Each slice contains a unique combination of the cardinality of dimensions from the request. For example, if the request specifies a single ISSUE dimension and it has a cardinality of 2 (i.e. the data used to compute the metrics has 2 issues in total), the response will have 2 slices: * Slice 1 -\u003e dimensions=[Issue 1] * Slice 2 -\u003e dimensions=[Issue 2]", "id": "GoogleCloudContactcenterinsightsV1alpha1QueryMetricsResponseSlice" }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart": { "properties": { "chips": { "description": "Optional. List of suggestion chips.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartChip" }, "type": "array" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartSuggestionChipsPart", "description": "A suggestion chips part.", "type": "object" }, "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsMetadata": { "id": "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsMetadata", "type": "object", "description": "The metadata for a bulk analyze conversations operation.", "properties": { "totalRequestedAnalysesCount": { "format": "int32", "type": "integer", "description": "Total number of analyses requested. Computed by the number of conversations returned by `filter` multiplied by `analysis_percentage` in the request." }, "failedAnalysesCount": { "type": "integer", "description": "The number of requested analyses that have failed so far.", "format": "int32" }, "endTime": { "description": "The time the operation finished running.", "format": "google-datetime", "type": "string" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1BulkAnalyzeConversationsRequest", "description": "The original request for bulk analyze." }, "createTime": { "type": "string", "format": "google-datetime", "description": "The time the operation was created." }, "completedAnalysesCount": { "format": "int32", "description": "The number of requested analyses that have completed successfully so far.", "type": "integer" }, "partialErrors": { "description": "Output only. Partial errors during bulk analyze operation that might cause the operation output to be incomplete.", "type": "array", "items": { "$ref": "GoogleRpcStatus" }, "readOnly": true }, "relabel": { "readOnly": true, "type": "boolean", "description": "Output only. Deprecated: Use `request.annotator_selector.run_auto_labeling_annotator` instead. If true, the labeling rules will be re-evaluated for the conversations.", "deprecated": true } } }, "GoogleCloudContactcenterinsightsV1ListFeedbackLabelsResponse": { "description": "The response for listing feedback labels.", "properties": { "nextPageToken": { "type": "string", "description": "The next page token." }, "feedbackLabels": { "type": "array", "description": "The feedback labels that match the request.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1FeedbackLabel" } } }, "id": "GoogleCloudContactcenterinsightsV1ListFeedbackLabelsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartMediaPart": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationTranscriptTranscriptSegmentTranscriptPartMediaPart", "description": "A media part.", "properties": { "uri": { "description": "Optional. URI or URL to the media.", "type": "string" }, "alternativeText": { "description": "Optional. Alternative text description.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequestBigQueryDestination": { "id": "GoogleCloudContactcenterinsightsV1ExportInsightsDataRequestBigQueryDestination", "properties": { "dataset": { "type": "string", "description": "Required. The name of the BigQuery dataset that the snapshot result should be exported to. If this dataset does not exist, the export call returns an INVALID_ARGUMENT error." }, "projectId": { "description": "A project ID or number. If specified, then export will attempt to write data to this project instead of the resource project. Otherwise, the resource project will be used.", "type": "string" }, "table": { "description": "The BigQuery table name to which the insights data should be written. If this table does not exist, the export call returns an INVALID_ARGUMENT error.", "type": "string" } }, "type": "object", "description": "A BigQuery Table Reference." }, "GoogleCloudContactcenterinsightsV1alpha1Issue": { "description": "The issue resource.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1Issue", "properties": { "sampleUtterances": { "description": "Output only. Resource names of the sample representative utterances that match to this issue.", "type": "array", "items": { "type": "string" }, "readOnly": true }, "createTime": { "description": "Output only. The time at which this issue was created.", "readOnly": true, "format": "google-datetime", "type": "string" }, "displayDescription": { "description": "Representative description of the issue.", "type": "string" }, "displayName": { "description": "The representative name for the issue.", "type": "string" }, "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", "description": "Output only. The most recent time that this issue was updated." }, "name": { "type": "string", "description": "Immutable. The resource name of the issue. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}" } } }, "GoogleCloudContactcenterinsightsV1ConversationDataSource": { "description": "The conversation source, which is a combination of transcript and audio.", "properties": { "gcsSource": { "description": "A Cloud Storage location specification for the audio and transcript.", "$ref": "GoogleCloudContactcenterinsightsV1GcsSource" }, "metadataUri": { "description": "Cloud Storage URI that points to a file that contains the conversation metadata.", "type": "string" }, "dialogflowSource": { "$ref": "GoogleCloudContactcenterinsightsV1DialogflowSource", "description": "The source when the conversation comes from Dialogflow." }, "turnLevelAudios": { "items": { "$ref": "GoogleCloudContactcenterinsightsV1ConversationDataSourceTurnLevelAudio" }, "description": "Cloud Storage URIs that points to files that contain the conversation audio for each turn. Assume the order of the URIs is the same as the order of the transcript turns.", "type": "array" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1ConversationDataSource" }, "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessage": { "properties": { "messageId": { "description": "The message id of the message.", "type": "string" }, "createTime": { "format": "google-datetime", "type": "string", "readOnly": true, "description": "Output only. For user messages, this is the time at which the system received the message. For system messages, this is the time at which the system generated the message." }, "systemMessageWrapper": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageSystemMessages", "description": "A wrapper for system messages per turn." }, "userMessage": { "description": "A message from the user that is interacting with the system.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessageUserMessage" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1GenerativeInsightConversationTranscriptMessage", "description": "The message in the conversation.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1CalculateIssueModelStatsResponse": { "description": "Response of querying an issue model's statistics.", "properties": { "currentStats": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStats", "description": "The latest label statistics for the queried issue model. Includes results on both training data and data labeled after deployment." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CalculateIssueModelStatsResponse", "type": "object" }, "GoogleCloudContactcenterinsightsV1ImportIssueModelMetadata": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1ImportIssueModelMetadata", "description": "Metadata used for import issue model.", "properties": { "createTime": { "format": "google-datetime", "description": "The time the operation was created.", "type": "string" }, "endTime": { "description": "The time the operation finished running.", "format": "google-datetime", "type": "string" }, "request": { "description": "The original import request.", "$ref": "GoogleCloudContactcenterinsightsV1ImportIssueModelRequest" } } }, "GoogleCloudContactcenterinsightsV1alpha1DimensionLabelDimensionMetadata": { "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionLabelDimensionMetadata", "properties": { "labelValue": { "description": "Optional. The label value.", "type": "string" }, "labelKey": { "description": "Optional. The label key.", "type": "string" } }, "description": "Metadata about conversation labels.", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ArticleSuggestionData": { "properties": { "queryRecord": { "description": "The name of the answer record. Format: projects/{project}/locations/{location}/answerRecords/{answer_record}", "type": "string" }, "uri": { "type": "string", "description": "Article URI." }, "confidenceScore": { "type": "number", "format": "float", "description": "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)." }, "source": { "description": "The knowledge document that this answer was extracted from. Format: projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}", "type": "string" }, "metadata": { "description": "Map that contains metadata about the Article Suggestion and the document that it originates from.", "type": "object", "additionalProperties": { "type": "string" } }, "title": { "description": "Article title.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1alpha1ArticleSuggestionData", "type": "object", "description": "Agent Assist Article Suggestion data." }, "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequest": { "description": "Request for the BulkDownloadFeedbackLabel endpoint.", "type": "object", "properties": { "maxDownloadCount": { "type": "integer", "description": "Optional. Limits the maximum number of feedback labels that will be downloaded. The first `N` feedback labels will be downloaded.", "format": "int32" }, "filter": { "description": "Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING", "type": "string" }, "templateQaScorecardId": { "items": { "type": "string" }, "type": "array", "description": "Optional. If set, a template for labeling conversations and scorecard questions will be created from the conversation_filter and the questions under the scorecard(s). The feedback label `filter` will be ignored." }, "parent": { "description": "Required. The parent resource for new feedback labels.", "type": "string" }, "conversationFilter": { "description": "Optional. Filter parent conversations to download feedback labels for. When specified, the feedback labels will be downloaded for the conversations that match the filter. If `template_qa_scorecard_id` is set, all the conversations that match the filter will be paired with the questions under the scorecard for labeling.", "type": "string" }, "gcsDestination": { "description": "A cloud storage bucket destination.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestGcsDestination" }, "feedbackLabelType": { "description": "Optional. The type of feedback labels that will be downloaded.", "enumDescriptions": [ "Unspecified format", "Downloaded file will contain all Quality AI labels from the latest scorecard revision.", "Downloaded file will contain only Topic Modeling labels.", "Agent Assist Summarization labels." ], "enum": [ "FEEDBACK_LABEL_TYPE_UNSPECIFIED", "QUALITY_AI", "TOPIC_MODELING", "AGENT_ASSIST_SUMMARY" ], "type": "string" }, "sheetsDestination": { "description": "A sheets document destination.", "$ref": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequestSheetsDestination" } }, "id": "GoogleCloudContactcenterinsightsV1BulkDownloadFeedbackLabelsRequest" }, "GoogleCloudContactcenterinsightsV1alpha1DimensionIssueDimensionMetadata": { "properties": { "issueId": { "description": "The issue ID.", "type": "string" }, "issueModelId": { "description": "The parent issue model ID.", "type": "string" }, "issueDisplayName": { "description": "The issue display name.", "type": "string" } }, "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DimensionIssueDimensionMetadata", "description": "Metadata about the issue dimension." }, "GoogleCloudContactcenterinsightsV1ConversationParticipant": { "description": "The call participant speaking for a given utterance.", "properties": { "dialogflowParticipantName": { "description": "The name of the participant provided by Dialogflow. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}", "type": "string" }, "dialogflowParticipant": { "deprecated": true, "type": "string", "description": "Deprecated. Use `dialogflow_participant_name` instead. The name of the Dialogflow participant. Format: projects/{project}/locations/{location}/conversations/{conversation}/participants/{participant}" }, "obfuscatedExternalUserId": { "type": "string", "description": "Obfuscated user ID from Dialogflow." }, "role": { "enum": [ "ROLE_UNSPECIFIED", "HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER", "ANY_AGENT" ], "type": "string", "enumDescriptions": [ "Participant's role is not set.", "Participant is a human agent.", "Participant is an automated agent.", "Participant is an end user who conversed with the contact center.", "Participant is either a human or automated agent." ], "description": "The role of the participant." }, "userId": { "description": "A user-specified ID representing the participant.", "type": "string" } }, "id": "GoogleCloudContactcenterinsightsV1ConversationParticipant", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1CesEndSessionAnnotation": { "description": "The CES end session annotation.", "properties": { "endSession": { "$ref": "GoogleCloudCesV1mainEndSession", "description": "End session signal from CES." } }, "id": "GoogleCloudContactcenterinsightsV1alpha1CesEndSessionAnnotation", "type": "object" }, "GoogleCloudContactcenterinsightsV1mainDeployIssueModelRequest": { "properties": { "name": { "description": "Required. The issue model to deploy.", "type": "string" } }, "type": "object", "description": "The request to deploy an issue model.", "id": "GoogleCloudContactcenterinsightsV1mainDeployIssueModelRequest" }, "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartProduct": { "id": "GoogleCloudContactcenterinsightsV1mainConversationTranscriptTranscriptSegmentTranscriptPartProduct", "description": "A product in a product collection.", "type": "object", "properties": { "price": { "description": "Optional. Product price.", "$ref": "GoogleTypeMoney" }, "description": { "description": "Optional. Product description.", "type": "string" }, "imageUris": { "type": "array", "description": "Optional. Product image URLs.", "items": { "type": "string" } }, "uri": { "description": "Optional. Product URL or deep link.", "type": "string" }, "id": { "type": "string", "description": "Optional. Product ID." }, "displayName": { "description": "Optional. Product display name.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1QaScorecardResultScoreSource": { "description": "A scorecard result may have multiple sets of scores from varying sources, one of which becomes the \"main\" answer above. A ScoreSource represents each individual set of scores.", "type": "object", "properties": { "score": { "format": "double", "type": "number", "description": "The overall numerical score of the result." }, "qaTagResults": { "description": "Collection of tags and their scores.", "items": { "$ref": "GoogleCloudContactcenterinsightsV1QaScorecardResultQaTagResult" }, "type": "array" }, "potentialScore": { "description": "The maximum potential overall score of the scorecard. Any questions answered using `na_value` are excluded from this calculation.", "type": "number", "format": "double" }, "sourceType": { "enumDescriptions": [ "Source type is unspecified.", "Score is derived only from system-generated answers.", "Score is derived from both system-generated answers, and includes any manual edits if they exist." ], "type": "string", "description": "What created the score.", "enum": [ "SOURCE_TYPE_UNSPECIFIED", "SYSTEM_GENERATED_ONLY", "INCLUDES_MANUAL_EDITS" ] }, "normalizedScore": { "description": "The normalized score, which is the score divided by the potential score.", "format": "double", "type": "number" } }, "id": "GoogleCloudContactcenterinsightsV1QaScorecardResultScoreSource" }, "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStats": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStats", "properties": { "unclassifiedConversationsCount": { "format": "int64", "description": "Number of analyzed conversations for which no issue was applicable at this point in time.", "type": "string" }, "analyzedConversationsCount": { "format": "int64", "description": "Number of conversations the issue model has analyzed at this point in time.", "type": "string" }, "issueStats": { "additionalProperties": { "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModelLabelStatsIssueStats" }, "description": "Statistics on each issue. Key is the issue's resource name.", "type": "object" } }, "description": "Aggregated statistics about an issue model." }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTuningMetadata": { "properties": { "totalValidLabelCount": { "description": "Total number of valid labels provided for the question at the time of tuining.", "type": "string", "format": "int64" }, "datasetValidationWarnings": { "items": { "enum": [ "DATASET_VALIDATION_WARNING_UNSPECIFIED", "TOO_MANY_INVALID_FEEDBACK_LABELS", "INSUFFICIENT_FEEDBACK_LABELS", "INSUFFICIENT_FEEDBACK_LABELS_PER_ANSWER", "ALL_FEEDBACK_LABELS_HAVE_THE_SAME_ANSWER" ], "enumDescriptions": [ "Unspecified data validation warning.", "A non-trivial percentage of the feedback labels are invalid.", "The quantity of valid feedback labels provided is less than the recommended minimum.", "One or more of the answers have less than the recommended minimum of feedback labels.", "All the labels in the dataset come from a single answer choice." ], "type": "string" }, "description": "A list of any applicable data validation warnings about the question's feedback labels.", "type": "array" }, "tuningError": { "description": "Error status of the tuning operation for the question. Will only be set if the tuning operation failed.", "type": "string" } }, "type": "object", "description": "Metadata about the tuning operation for the question. Will only be set if a scorecard containing this question has been tuned.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionTuningMetadata" }, "GoogleCloudContactcenterinsightsV1UploadConversationMetadata": { "description": "The metadata for an `UploadConversation` operation.", "id": "GoogleCloudContactcenterinsightsV1UploadConversationMetadata", "properties": { "analysisOperation": { "readOnly": true, "type": "string", "description": "Output only. The operation name for a successfully created analysis operation, if any." }, "endTime": { "readOnly": true, "description": "Output only. The time the operation finished running.", "type": "string", "format": "google-datetime" }, "request": { "$ref": "GoogleCloudContactcenterinsightsV1UploadConversationRequest", "readOnly": true, "description": "Output only. The original request." }, "createTime": { "type": "string", "readOnly": true, "description": "Output only. The time the operation was created.", "format": "google-datetime" }, "appliedRedactionConfig": { "$ref": "GoogleCloudContactcenterinsightsV1RedactionConfig", "description": "Output only. The redaction config applied to the uploaded conversation.", "readOnly": true } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsResponse": { "id": "GoogleCloudContactcenterinsightsV1alpha1BulkAnalyzeConversationsResponse", "type": "object", "description": "The response for a bulk analyze conversations operation.", "properties": { "successfulAnalysisCount": { "format": "int32", "description": "Count of successful analyses.", "type": "integer" }, "failedAnalysisCount": { "format": "int32", "description": "Count of failed analyses.", "type": "integer" } } }, "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasureQaTagScore": { "id": "GoogleCloudContactcenterinsightsV1mainQueryMetricsResponseSliceDataPointConversationMeasureQaTagScore", "description": "Average QA normalized score for the tag.", "properties": { "averageTagNormalizedScore": { "description": "Average tag normalized score per tag.", "format": "double", "type": "number" }, "tag": { "description": "Tag name.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelResponse": { "properties": { "issueModel": { "description": "The issue model that was imported.", "$ref": "GoogleCloudContactcenterinsightsV1alpha1IssueModel" } }, "description": "Response from import issue model", "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1ImportIssueModelResponse" }, "GoogleCloudContactcenterinsightsV1mainIntent": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainIntent", "properties": { "displayName": { "type": "string", "description": "The human-readable name of the intent." }, "id": { "type": "string", "description": "The unique identifier of the intent." } }, "description": "The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE." }, "GoogleCloudContactcenterinsightsV1mainIssueMatchData": { "description": "The data for an issue match annotation.", "properties": { "issueAssignment": { "description": "Information about the issue's assignment.", "$ref": "GoogleCloudContactcenterinsightsV1mainIssueAssignment" } }, "id": "GoogleCloudContactcenterinsightsV1mainIssueMatchData", "type": "object" }, "GoogleCloudContactcenterinsightsV1alpha1QaQuestionMetrics": { "type": "object", "properties": { "accuracy": { "format": "double", "readOnly": true, "description": "Output only. Accuracy of the model. Measures the percentage of correct answers the model gave on the test set.", "type": "number" } }, "description": "A wrapper representing metrics calculated against a test-set on a LLM that was fine tuned for this question.", "id": "GoogleCloudContactcenterinsightsV1alpha1QaQuestionMetrics" }, "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfig": { "id": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfig", "type": "object", "description": "Configuration for the QA feature.", "properties": { "scorecardList": { "$ref": "GoogleCloudContactcenterinsightsV1mainAnnotatorSelectorQaConfigScorecardList", "description": "A manual list of scorecards to score." } } }, "GoogleTypeExpr": { "id": "GoogleTypeExpr", "description": "Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: \"Summary size limit\" description: \"Determines if a summary is less than 100 chars\" expression: \"document.summary.size() \u003c 100\" Example (Equality): title: \"Requestor is owner\" description: \"Determines if requestor is the document owner\" expression: \"document.owner == request.auth.claims.email\" Example (Logic): title: \"Public documents\" description: \"Determine whether the document should be publicly visible\" expression: \"document.type != 'private' && document.type != 'internal'\" Example (Data Manipulation): title: \"Notification string\" description: \"Create a notification string with a timestamp.\" expression: \"'New message received at ' + string(document.create_time)\" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.", "type": "object", "properties": { "title": { "description": "Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.", "type": "string" }, "description": { "description": "Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.", "type": "string" }, "expression": { "description": "Textual representation of an expression in Common Expression Language syntax.", "type": "string" }, "location": { "description": "Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.", "type": "string" } } }, "GoogleCloudContactcenterinsightsV1mainHoldData": { "properties": {}, "description": "The data for a hold annotation.", "type": "object", "id": "GoogleCloudContactcenterinsightsV1mainHoldData" }, "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelResponse": { "type": "object", "id": "GoogleCloudContactcenterinsightsV1alpha1DeployIssueModelResponse", "description": "The response to deploy an issue model.", "properties": {} }, "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart": { "id": "GoogleCloudContactcenterinsightsV1alpha1ConversationTranscriptTranscriptSegmentTranscriptPartThoughtPart", "description": "A thought part.", "properties": { "text": { "description": "Optional. The thought or reasoning text.", "type": "string" } }, "type": "object" }, "GoogleCloudContactcenterinsightsV1IngestConversationsResponse": { "properties": {}, "type": "object", "id": "GoogleCloudContactcenterinsightsV1IngestConversationsResponse", "description": "The response to an IngestConversations operation." }, "GoogleCloudContactcenterinsightsV1alpha1UndeployQaScorecardRevisionRequest": { "properties": {}, "description": "The request to undeploy a QaScorecardRevision", "id": "GoogleCloudContactcenterinsightsV1alpha1UndeployQaScorecardRevisionRequest", "type": "object" } }, "protocol": "rest", "ownerDomain": "google.com", "version_module": true, "kind": "discovery#restDescription", "mtlsRootUrl": "https://contactcenterinsights.mtls.googleapis.com/", "documentationLink": "https://cloud.google.com/contact-center/insights/docs", "batchPath": "batch", "version": "v1alpha1", "basePath": "", "id": "contactcenterinsights:v1alpha1" }