Backfill ticket embeddings for vector similarity search

POST

/admin/seed-ticket-embeddings

const url = 'https://example.com/api/admin/seed-ticket-embeddings';
const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}

curl --request POST \
  --url https://example.com/api/admin/seed-ticket-embeddings \
  --header 'Authorization: Bearer <token>'

Admin-only backfill endpoint. Computes OpenAI embeddings for all open tickets missing embeddings or with stale content_hash. Auth via CRON_SECRET.

Authorizations

bearerApiKey
cookieAuth

Parameters

Query Parameters

token

string

Responses

200

Backfill results

application/json

object

boolean

processed

integer

updated

integer

skipped

integer

errors

integer

401

Not authenticated

application/json

object

error

required

Human-readable error message

string

code

Stable machine-readable error code for client branching

string

fieldErrors

First validation message per field path

object

key

additional properties

string

issues

Structured validation issues (Zod)

Array<object>

object

path

required

string

message

required

string

retryAfter

Seconds until rate limit resets (429 responses)

number

reconnect

True if re-linking GitHub may fix the issue

boolean