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POST
/
projects
/
{project_id}
/
feedbacks
/
mark_conversation_reviewed
Mark all feedbacks in a conversation as reviewed
import requests

url = "https://eu.app.clarifeye.ai/api/v1/projects/{project_id}/feedbacks/mark_conversation_reviewed/"

payload = { "conversation_id": "123e4567-e89b-12d3-a456-426614174000" }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
{
  "updated_count": 3,
  "conversation_id": "123e4567-e89b-12d3-a456-426614174000",
  "new_status": "reviewed"
}

Documentation Index

Fetch the complete documentation index at: https://docs.clarifeye.ai/llms.txt

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

Authorizations

Authorization
string
header
required

Use Authorization: Bearer

Headers

X-Impersonate-Email
string<email>

Email of the user to impersonate. Requires CAN_IMPERSONATE_OTHER_USERS permission. If the target user is not found or does not have access to the project, the request proceeds as the authenticated user. Contact Clarifeye to enable this permission.

Path Parameters

project_id
string<uuid>
required

UUID of the project

Body

application/json
conversation_id
string<uuid>
required

ID of the conversation whose feedbacks should be marked as reviewed

Example:

"123e4567-e89b-12d3-a456-426614174000"

Response

Feedbacks updated successfully

updated_count
integer

Number of feedbacks updated

Example:

3

conversation_id
string<uuid>

ID of the conversation whose feedbacks were updated

Example:

"123e4567-e89b-12d3-a456-426614174000"

new_status
string

The new status that was applied to the feedbacks

Example:

"reviewed"