REST Resource: projects.conversations.participants

Resource: Participant
- JSON representation
- Role
Methods

Resource: Participant

Represents a conversation participant (human agent, virtual agent, end-user).

JSON representation
{ "name" : string , "role" : enum ( `Role` ) , "sipRecordingMediaLabel" : string , "obfuscatedExternalUserId" : string , "documentsMetadataFilters" : { string : string , ... } }

Fields

name

string

Optional. The unique identifier of this participant. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID> .

role

enum ( Role )

Immutable. The role this participant plays in the conversation. This field must be set during participant creation and is then immutable.

sipRecordingMediaLabel

string

Optional. Label applied to streams representing this participant in SIPREC XML metadata and SDP. This is used to assign transcriptions from that media stream to this participant. This field can be updated.

obfuscatedExternalUserId

string

Optional. Obfuscated user id that should be associated with the created participant.

You can specify a user id as follows:

If you set this field in CreateParticipantRequest or UpdateParticipantRequest , Dialogflow adds the obfuscated user id with the participant.
If you set this field in participants.analyzeContent or StreamingAnalyzeContent , Dialogflow will update Participant.obfuscated_external_user_id .

Dialogflow returns an error if you try to add a user id for a non- END_USER participant.

Dialogflow uses this user id for billing and measurement purposes. For example, Dialogflow determines whether a user in one conversation returned in a later conversation.

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.

documentsMetadataFilters

map (key: string, value: string)

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

 documentsMetadataFilters {
  key: "market"
  value: "US,CA"
}
documentsMetadataFilters {
  key: "user"
  value: "agent"
}

An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" } .

Role

Enumeration of the roles a participant can play in a conversation.

Enums
`ROLE_UNSPECIFIED`	Participant role not set.
`HUMAN_AGENT`	Participant is a human agent.
`AUTOMATED_AGENT`	Participant is an automated agent, such as a Dialogflow agent.
`END_USER`	Participant is an end user that has called or chatted with Dialogflow services.

Methods
`analyzeContent`	Adds a text (chat, for example), or audio (phone recording, for example) message from a participant into the conversation.
`create`	Creates a new participant in a conversation.
`get`	Retrieves a conversation participant.
`list`	Returns the list of all participants in the specified conversation.
`patch`	Updates the specified participant.

REST Resource: projects.conversations.participants

Resource: Participant

Role

Methods

`analyzeContent`

`create`

`get`

`list`

`patch`