chore: Update discovery artifacts (#1609)
## Deleted keys were detected in the following stable discovery artifacts:
compute v1 https://github.com/googleapis/google-api-python-client/commit/574d4ace68dc1bd844f01ec13419b7d055fa857e
## Deleted keys were detected in the following pre-stable discovery artifacts:
compute alpha https://github.com/googleapis/google-api-python-client/commit/574d4ace68dc1bd844f01ec13419b7d055fa857e
compute beta https://github.com/googleapis/google-api-python-client/commit/574d4ace68dc1bd844f01ec13419b7d055fa857e
gameservices v1beta https://github.com/googleapis/google-api-python-client/commit/8016e68c4c2ac2f065fc1a0c7e86aac35329cf25
## Discovery Artifact Change Summary:
feat(artifactregistry): update the api https://github.com/googleapis/google-api-python-client/commit/faa6c7f4fab2190989c9a587f35998203517ff2a
feat(assuredworkloads): update the api https://github.com/googleapis/google-api-python-client/commit/c0f6be757e47a62337e7963bea576858cbf17341
feat(cloudbuild): update the api https://github.com/googleapis/google-api-python-client/commit/536d4b0a61e15b45439f3f3066410236d50e228b
feat(composer): update the api https://github.com/googleapis/google-api-python-client/commit/bc7ce92bf38d4eed3fce35cd080bf40b43855ba4
feat(compute): update the api https://github.com/googleapis/google-api-python-client/commit/574d4ace68dc1bd844f01ec13419b7d055fa857e
feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/c4cdd10e83565119457494a21f1abe128ac59083
feat(containeranalysis): update the api https://github.com/googleapis/google-api-python-client/commit/a86a46ed4f6098a6da8d3bc2db8ae1642e4300f3
feat(datastream): update the api https://github.com/googleapis/google-api-python-client/commit/f54ebeac6f8829b81b975a9fcabde5423f769ea9
feat(dialogflow): update the api https://github.com/googleapis/google-api-python-client/commit/2b33ab2f6823916a872f33c23c9da86b993f0fc0
feat(dlp): update the api https://github.com/googleapis/google-api-python-client/commit/0406443bd63e9bf9312c3ac7a7398ca0a60dac51
feat(gameservices): update the api https://github.com/googleapis/google-api-python-client/commit/8016e68c4c2ac2f065fc1a0c7e86aac35329cf25
feat(gkehub): update the api https://github.com/googleapis/google-api-python-client/commit/fbcb756aa75d122f9929a6319b3bdd413cebc293
feat(logging): update the api https://github.com/googleapis/google-api-python-client/commit/8ce3b8583936958cabce8c7a0cd72ad16817de0c
feat(ml): update the api https://github.com/googleapis/google-api-python-client/commit/cfe625ae36d61eda2f496115ad515a7000d8973c
feat(networkconnectivity): update the api https://github.com/googleapis/google-api-python-client/commit/6348dd518b3be79230e3d23beb4e4f2527d67855
feat(osconfig): update the api https://github.com/googleapis/google-api-python-client/commit/0c6c8148b57f793fab971f2f815acef70fde478b
feat(storagetransfer): update the api https://github.com/googleapis/google-api-python-client/commit/5758865ada7f1c87525752f002f82ca8681e927d
diff --git a/docs/dyn/dialogflow_v2beta1.projects.conversations.participants.html b/docs/dyn/dialogflow_v2beta1.projects.conversations.participants.html
index 8a37552..73209a7 100644
--- a/docs/dyn/dialogflow_v2beta1.projects.conversations.participants.html
+++ b/docs/dyn/dialogflow_v2beta1.projects.conversations.participants.html
@@ -111,6 +111,11 @@
The object takes the form of:
{ # The request message for Participants.AnalyzeContent.
+ "assistQueryParams": { # Represents the parameters of human assist query. # Parameters for a human assist query.
+ "documentsMetadataFilters": { # Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be ``` documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } ```
+ "a_key": "A String",
+ },
+ },
"eventInput": { # Events allow for matching intents by event name instead of the natural language input. For instance, input `` can trigger a personalized welcome response. The parameter `name` may be used by the agent in the response: `"Hello #welcome_event.name! What can I do for you today?"`. # An input event to send to Dialogflow.
"languageCode": "A String", # Required. The language of this query. See [Language Support](https://cloud.google.com/dialogflow/docs/reference/language) for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
"name": "A String", # Required. The unique identifier of the event.
@@ -1783,6 +1788,9 @@
The object takes the form of:
{ # Represents a conversation participant (human agent, virtual agent, end-user).
+ "documentsMetadataFilters": { # Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be ``` documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } ```
+ "a_key": "A String",
+ },
"name": "A String", # Optional. The unique identifier of this participant. Format: `projects//locations//conversations//participants/`.
"obfuscatedExternalUserId": "A String", # Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.
"role": "A String", # Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.
@@ -1797,6 +1805,9 @@
An object of the form:
{ # Represents a conversation participant (human agent, virtual agent, end-user).
+ "documentsMetadataFilters": { # Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be ``` documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } ```
+ "a_key": "A String",
+ },
"name": "A String", # Optional. The unique identifier of this participant. Format: `projects//locations//conversations//participants/`.
"obfuscatedExternalUserId": "A String", # Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.
"role": "A String", # Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.
@@ -1818,6 +1829,9 @@
An object of the form:
{ # Represents a conversation participant (human agent, virtual agent, end-user).
+ "documentsMetadataFilters": { # Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be ``` documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } ```
+ "a_key": "A String",
+ },
"name": "A String", # Optional. The unique identifier of this participant. Format: `projects//locations//conversations//participants/`.
"obfuscatedExternalUserId": "A String", # Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.
"role": "A String", # Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.
@@ -1844,6 +1858,9 @@
"nextPageToken": "A String", # Token to retrieve the next page of results or empty if there are no more results in the list.
"participants": [ # The list of participants. There is a maximum number of items returned based on the page_size field in the request.
{ # Represents a conversation participant (human agent, virtual agent, end-user).
+ "documentsMetadataFilters": { # Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be ``` documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } ```
+ "a_key": "A String",
+ },
"name": "A String", # Optional. The unique identifier of this participant. Format: `projects//locations//conversations//participants/`.
"obfuscatedExternalUserId": "A String", # Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.
"role": "A String", # Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.
@@ -1876,6 +1893,9 @@
The object takes the form of:
{ # Represents a conversation participant (human agent, virtual agent, end-user).
+ "documentsMetadataFilters": { # Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be ``` documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } ```
+ "a_key": "A String",
+ },
"name": "A String", # Optional. The unique identifier of this participant. Format: `projects//locations//conversations//participants/`.
"obfuscatedExternalUserId": "A String", # Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.
"role": "A String", # Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.
@@ -1891,6 +1911,9 @@
An object of the form:
{ # Represents a conversation participant (human agent, virtual agent, end-user).
+ "documentsMetadataFilters": { # Optional. Key-value filters on the metadata of documents returned by article suggestion. If specified, article suggestion only returns suggested documents that match all filters in their Document.metadata. Multiple values for a metadata key should be concatenated by comma. For example, filters to match all documents that have 'US' or 'CA' in their market metadata values and 'agent' in their user metadata values will be ``` documents_metadata_filters { key: "market" value: "US,CA" } documents_metadata_filters { key: "user" value: "agent" } ```
+ "a_key": "A String",
+ },
"name": "A String", # Optional. The unique identifier of this participant. Format: `projects//locations//conversations//participants/`.
"obfuscatedExternalUserId": "A String", # Optional. Obfuscated user id that should be associated with the created participant. You can specify a user id as follows: 1. If you set this field in CreateParticipantRequest or UpdateParticipantRequest, Dialogflow adds the obfuscated user id with the participant. 2. If you set this field in AnalyzeContent or StreamingAnalyzeContent, Dialogflow will update Participant.obfuscated_external_user_id. Dialogflow uses this user id for following purposes: 1) Billing and measurement. If user with the same obfuscated_external_user_id is created in a later conversation, dialogflow will know it's the same user. 2) Agent assist suggestion personalization. For example, Dialogflow can use it to provide personalized smart reply suggestions for this user. Note: * Please never pass raw user ids to Dialogflow. Always obfuscate your user id first. * Dialogflow only accepts a UTF-8 encoded string, e.g., a hex digest of a hash function like SHA-512. * The length of the user id must be <= 256 characters.
"role": "A String", # Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.