Vertex AI — NodeJS SDK — Error: 3 INVALID_ARGUMENT: 0 is out of supported range [1, 1025);

janac
2 min readNov 20, 2023

I’m following the example for calling the predict endpoint as listed in the official Google Cloud Documentation, but got an error:

Error:

Error: 3 INVALID_ARGUMENT: 0 is out of supported range [1, 1025);  for the maximum number of tokens.
at callErrorFromStatus (webpack-internal:///(rsc)/./node_modules/@grpc/grpc-js/build/src/call.js:31:19)
at Object.onReceiveStatus (webpack-internal:///(rsc)/./node_modules/@grpc/grpc-js/build/src/client.js:192:76)
at Object.onReceiveStatus (webpack-internal:///(rsc)/./node_modules/@grpc/grpc-js/build/src/client-interceptors.js:344:141)
at Object.onReceiveStatus (webpack-internal:///(rsc)/./node_modules/@grpc/grpc-js/build/src/client-interceptors.js:308:181)
at eval (webpack-internal:///(rsc)/./node_modules/@grpc/grpc-js/build/src/resolving-call.js:94:78)
at process.processTicksAndRejections (node:internal/process/task_queues:77:11)
for call at
at ServiceClientImpl.makeUnaryRequest (webpack-internal:///(rsc)/./node_modules/@grpc/grpc-js/build/src/client.js:162:32)
at ServiceClientImpl.eval (webpack-internal:///(rsc)/./node_modules/@grpc/grpc-js/build/src/make-client.js:103:19)
at eval (webpack-internal:///(rsc)/./node_modules/@google-cloud/aiplatform/build/src/v1/prediction_service_client.js:241:33)
at eval (webpack-internal:///(rsc)/./node_modules/google-gax/build/src/normalCalls/timeout.js:42:16)
at OngoingCallPromise.call (webpack-internal:///(rsc)/./node_modules/google-gax/build/src/call.js:64:27)
at NormalApiCaller.call (webpack-internal:///(rsc)/./node_modules/google-gax/build/src/normalCalls/normalApiCaller.js:34:19)
at eval (webpack-internal:///(rsc)/./node_modules/google-gax/build/src/createApiCall.js:75:30)
at process.processTicksAndRejections (node:internal/process/task_queues:95:5) {
code: 3,
details: '0 is out of supported range [1, 1025); for the maximum number of tokens.',
metadata: Metadata {
internalRepr: Map(2) {
'endpoint-load-metrics-bin' => [Array],
'grpc-server-stats-bin' => [Array]
},
options: {}
}

Here is my code:

const projectId = process.env.PROJECT_ID;
const zone = process.env.ZONE;

const aiplatform = require('@google-cloud/aiplatform');

const {PredictionServiceClient} = aiplatform.v1
const {EndpointServiceClient} = aiplatform.v1
const {helpers} = aiplatform;

const clientOptions = {
apiEndpoint…

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janac

Most of my writing is about software. I enjoy summarizing and analyzing books and self-help videos. I am senior software consultant at LazerTechnologies.com.