Delete Agent Response
DELETE
/v2/api/agent-response/{agent_response_id}
Understanding Agent Response ID
Purpose of Deleting an Agent Response
How to View an Agent Response or Chat Log ID
View Agent Response / Chat Log ID Guide
Complete Guide on Managing Agent Responses & Chat Logs
Complete Guide on Agent Responses & Chat Logs
Request
Path Params
Header Params
Responses
Request Request Example
Shell
JavaScript
Java
Swift
curl --location -g --request DELETE 'https:///v2/api/agent-response/0' \
--header 'Ocp-Apim-Subscription-Key: ' \
--header 'Authorization: Bearer 'Response Response Example
200 - Example 1
{
"success": true,
"message": "Agent Response Deleted Successfully",
"data": {
"id": 10934,
"comments": [],
"feedback": [],
"question": "Can you explain how Retrieval-Augmented Generation (RAG) works from the sources provided?",
"response": {
"query": "Explain how Retrieval-Augmented Generation (RAG) works.",
"answer": "Retrieval-Augmented Generation (RAG) is a technique in natural language processing that enhances the capabilities of generative language models by integrating real-time data retrieval. This approach addresses the limitations of traditional generative models, which rely solely on their training data and may produce outdated or incorrect information if the data is not current. RAG ensures that the responses generated are both contextually appropriate and grounded in factual information by incorporating real-time data from external sources.",
"run_id": "f2b5a61c-55c7-4a18-98b8-7ca1b3f44919",
"history": [
{
"bot": "Hello! How can I assist you today?",
"user": "hi"
}
],
"indexes": [],
"sources": "[0]",
"success": true,
"cache_hit": false,
"agent_mode": "",
"corpus_ids": [
645
],
"references": [
{
"url": "Introduction to RAG1738098993.txt",
"order": 1,
"number": 0
}
],
"instructions": [],
"total_tokens": 4809,
"prompt_prefix": "",
"prompt_tokens": 4329,
"completion_tokens": 480,
"followup_questions": [
"What are the components involved in the RAG process?",
"How does RAG ensure responses are contextually appropriate?",
"In what domains is RAG particularly useful?"
]
},
"created_by": "[email protected]",
"created_on": "2025-01-28T21:20:41.311244Z",
"is_deleted": true,
"total_tokens": 4809,
"prompt_tokens": 4329,
"completion_tokens": 480,
"cache_hit": false,
"query_source": "web",
"message_id": null,
"cost": "0.02404",
"chat_thread": 4354,
"agent": 952,
"user": 1,
"llm_config": 8
}
}