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POST
/
api
/
external
/
get-conversation-detail
Get conversation details
curl --request POST \
  --url https://backend.nebuly.com/api/external/get-conversation-detail \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "conversation_id": "<string>"
}
'
{
  "id": "<string>",
  "session_length": 123,
  "session_time": 123,
  "start_session": "<string>",
  "end_session": "<string>",
  "cost": 123,
  "tags": {
    "key": "<string>",
    "value": "<string>"
  },
  "emotions": [
    "<string>"
  ],
  "custom_aggregates": {
    "key": "<string>",
    "value": "<string>"
  },
  "conversation": [
    {
      "id": "<string>",
      "input": "<string>",
      "output": "<string>",
      "timestamp": "<string>",
      "end_timestamp": "<string>",
      "user_query": "<string>",
      "topic": "<string>",
      "sentiment": "<string>",
      "type_of_risk": "<string>",
      "moderation_issue": "<string>",
      "business_issue": "<string>"
    }
  ]
}

Documentation Index

Fetch the complete documentation index at: https://docs.nebuly.com/llms.txt

Use this file to discover all available pages before exploring further.

Retrieve the detailed information about a single conversation. You can list conversations using the Get interaction aggregates endpoint grouping by conversation_id. For authentication you need the to use the API key associated to the project you want to retrieve the interactions from.
​
conversation_id
string
required
ID of the conversation you want to retrieve.

​
Response

​
id
string
Unique identifier of the interaction.
​
session_length
float
The total number of interactions in the conversation.
​
session_time
float
The total time spent in the conversation, in seconds, from the start of the first interaction to the end of the last interaction.
​
start_session
string
Timestamp of the first interaction in the conversation.
​
end_session
string
Timestamp of the last interaction in the conversation.
​
cost
float
Cost of the conversation, in micro dollars.
​
tags
object
Tags associated with the conversation.
​
emotions
string[]
List of emotions detected in the conversation.
​
custom_aggregates
object
User defined custom aggregates associated with the conversation.
​
conversation
object[]
List of the interactions in the conversation.