GET
/
api
/
external
/
export
/
interactions
/
detail-v2
/
{interaction_id}
Get interaction details V2
curl --request GET \
  --url https://backend.nebuly.com/api/external/export/interactions/detail-v2/{interaction_id} \
  --header 'Authorization: Bearer <token>'
{
  "id": "<string>",
  "project_id": "<string>",
  "sentiment": "<string>",
  "emotions": {},
  "cost": 123,
  "topic": "<string>",
  "intent": "<string>",
  "input": "<string>",
  "output": "<string>",
  "latency": 123,
  "pii_removed": true,
  "text_language": "<string>",
  "timestamp": "<string>",
  "end_timestamp": "<string>",
  "user": "<string>",
  "verbosity": "<string>",
  "actions": [
    "<string>"
  ],
  "action_details": "<string>",
  "feedback_actions": [
    "<string>"
  ],
  "feedback_action_text": "<string>",
  "feedback_action_rating": 123,
  "user_query": "<string>",
  "tags": {},
  "feedback_type": "<string>",
  "risky_behavior": "<string>",
  "rags": [
    "<string>"
  ],
  "rags_details": {},
  "warning_message": "<string>",
  "conversation": [
    {
      "input": "<string>",
      "output": "<string>",
      "timestamp": "<string>",
      "is_chosen": true
    }
  ]
}
Retrieve the detailed information about a single interaction using the v2 schema. This version includes expanded metadata such as sentiment, emotions, latency, PII info, and feedback details. You can list interactions using the Get interactions endpoint. For authentication you need the to use the API key associated to the project you want to retrieve the interactions from.
​
interaction_id
UUID
required
ID of the interaction you want to retrieve.

​
Response

​
id
string
Unique identifier of the interaction.
​
project_id
string
The project identifier to which the interaction belongs.
​
sentiment
string
Sentiment classification of the interaction, if available (e.g., positive, neutral, negative).
​
emotions
object
Key-value pairs describing emotion probabilities or intensities detected in the interaction.
​
cost
number
The cost incurred for the interaction
​
topic
string
Automatically or manually assigned topic of the interaction.
​
intent
string
The detected intent associated with the interaction.
​
input
string
The user input as received by the system.
​
output
string
The LLM-generated output corresponding to the input.
​
latency
number
Time taken to generate the response.
​
pii_removed
boolean
Flag indicating whether PII (Personally Identifiable Information) was removed from the input.
​
text_language
string
Language detected in the user input.
​
timestamp
string
The timestamp when the interaction began (user input was received).
​
end_timestamp
string
The timestamp when the assistant’s response was generated.
​
user
string
User identifier associated with the interaction.
​
verbosity
string
Number of characters in the output.
​
actions
string[]
List of action labels inferred or triggered from the interaction
​
action_details
string
Additional context or metadata about the actions taken.
​
feedback_actions
string[]
Actions taken or suggested via user feedback (e.g., “thumbs_up”, “thumbs_down”).
​
feedback_action_text
string
Text content accompanying feedback actions, if any.
​
feedback_action_rating
number
Numerical rating provided as feedback (e.g., 1–5).
​
user_query
string
A normalized or cleaned-up version of the original user query, if processed.
​
tags
object
Key-value pairs showing custom tags associated with the interaction.
​
feedback_type
string
Type of feedback provided (e.g., “negative_implicit”, “positive_implicit”).
​
risky_behavior
string
A flag or description for any risky or concerning user behavior detected.
​
rags
string[]
Identifiers or summaries of RAG sources used, if provided.
​
rags_details
object
Detailed metadata about each RAG item (e.g., source, query, result).
​
warning_message
string
Description of any warnings or issues detected with the LLM response.
​
conversation
object[]
List of conversation turns surrounding the interaction.