Re-embed Failed Docs

Batch embed all documents in the Agent with a status of "Failed".

Request Method

POST

Request URL

https://api-${endpoint}.gptbots.ai/v1/bot/data/retry/batch

Request Authentication

See Overview for authentication details.

Request

Request Example

curl -X POST https://api-${endpoint}.gptbots.ai/v1/bot/data/retry/batch \ -H 'Authorization: Bearer ${API Key}' \ -H 'Content-Type: application/json' \ -d '{}'

                      
                      curl -X POST https://api-${endpoint}.gptbots.ai/v1/bot/data/retry/batch \
-H 'Authorization: Bearer ${API Key}' \
-H 'Content-Type: application/json' \
-d '{}'

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Request Headers

Field	Type	Description
Authorization	Bearer ${API Key}	Use Authorization: Bearer ${API Key} for authentication. Get API key from API Key page.
Content-Type	application/json	Data type, set to application/json.

Request Parameters

None.

Re-vectorizes all documents with failed status under the current Agent.

Response

Response Example

{ "affectCount": 0 }

                      
                      {
    "affectCount": 0
}

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Success Response

Field	Type	Description
affectCount	long	The number of documents re-embedded this time.

Failure Response

Field	Type	Description
code	int	Error code.
message	string	Error details.

Error Codes

Code	Message
40000	Invalid parameter
40127	Developer authentication failed
20059	Agent deleted