Update Conversation

contact_center_insights.update_conversation
ActionGoogle Cloudconnection required

Calls contactcenterinsights v1 PATCH /v1/projects/{projectsId}/locations/{locationsId}/conversations/{conversationsId}.

Updates a conversation.

Connection

Required
Yes — the node will not save without one
Auth type
OAuth 2.0
Providers
Google Contact Center AI Insights
Secret shape
{"client_id", "client_secret", "refresh_token"}
Config it needs
project_id, location
Resolved by
config.connection_id, else node.connection_id

Configuration

3 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
location
Location or region; taken from the connection when unset.
stringNo———
conversation
Conversation name or id.
stringYes———
body
The GoogleCloudContactcenterinsightsV1Conversation resource, as the API defines it.
objectYes———

Output

One shape.

result

Extra keys beyond the ones listed can appear.

FieldTypeExample
agentId
string—
callMetadata
object—
correlationInfo
object—
createTime
string—
dataSource
object—
dialogflowIntents
object—
duration
string—
expireTime
string—
labels
object—
languageCode
string—
latestAnalysis
object—
latestSummary
object—
medium
string—
metadataJson
string—
name
string—
obfuscatedUserId
string—
qualityMetadata
object—
runtimeAnnotations
array—
startTime
string—
transcript
object—
ttl
string—
turnCount
integer—
updateTime
string—
{
  "agentId": "",
  "callMetadata": {},
  "correlationInfo": {},
  "createTime": "",
  "dataSource": {},
  "dialogflowIntents": {},
  "duration": "",
  "expireTime": "",
  "labels": {},
  "languageCode": "",
  "latestAnalysis": {},
  "latestSummary": {},
  "medium": "",
  "metadataJson": "",
  "name": "",
  "obfuscatedUserId": "",
  "qualityMetadata": {},
  "runtimeAnnotations": [],
  "startTime": "",
  "transcript": {},
  "ttl": "",
  "turnCount": 0,
  "updateTime": ""
}

See Update Conversation run in a workflow.

In a technical demo we add the Google Contact Center AI Insights connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.