.TH "GCLOUD_AI_ENDPOINTS_STREAM\-RAW\-PREDICT" 1



.SH "NAME"
.HP
gcloud ai endpoints stream\-raw\-predict \- run Vertex AI online stream raw prediction



.SH "SYNOPSIS"
.HP
\f5gcloud ai endpoints stream\-raw\-predict\fR (\fIENDPOINT\fR\ :\ \fB\-\-region\fR=\fIREGION\fR) \fB\-\-request\fR=\fIREQUEST\fR [\fB\-\-http\-headers\fR=[\fIHEADER\fR=\fIVALUE\fR,...]] [\fIGCLOUD_WIDE_FLAG\ ...\fR]



.SH "DESCRIPTION"

\f5gcloud ai endpoints stream\-raw\-predict\fR sends a stream raw prediction
request to a Vertex AI endpoint. The request can be given on the command line or
read from a file or stdin.



.SH "EXAMPLES"

To predict against an endpoint \f5\fI123\fR\fR under project \f5\fIexample\fR\fR
in region \f5\fIus\-central1\fR\fR, reading the request from the command line,
run:

.RS 2m
$ gcloud ai endpoints stream\-raw\-predict 123 \-\-project=example \e
    \-\-region=us\-central1 \-\-request='{
    "instances": [
      { "values": [1, 2, 3, 4], "key": 1 },
      { "values": [5, 6, 7, 8], "key": 2 }
    ]
  }'
.RE

If the request body was in the file \f5\fIinput.json\fR\fR, run:

.RS 2m
$ gcloud ai endpoints stream\-raw\-predict 123 \-\-project=example \e
    \-\-region=us\-central1 \-\-request=@input.json
.RE

To send the image file \f5\fIimage.jpeg\fR\fR and set the \fBcontent type\fR,
run:

.RS 2m
$ gcloud ai endpoints stream\-raw\-predict 123 \-\-project=example \e
    \-\-region=us\-central1 \-\-http\-headers=Content\-Type=image/jpeg \e
    \-\-request=@image.jpeg
.RE



.SH "POSITIONAL ARGUMENTS"

.RS 2m
.TP 2m

Endpoint resource \- The endpoint to do online stream raw prediction. The
arguments in this group can be used to specify the attributes of this resource.
(NOTE) Some attributes are not given arguments in this group but can be set in
other ways.

To set the \f5project\fR attribute:
.RS 2m
.IP "\(em" 2m
provide the argument \f5endpoint\fR on the command line with a fully specified
name;
.IP "\(em" 2m
provide the argument \f5\-\-project\fR on the command line;
.IP "\(em" 2m
set the property \f5core/project\fR.
.RE
.sp

This must be specified.


.RS 2m
.TP 2m
\fIENDPOINT\fR

ID of the endpoint or fully qualified identifier for the endpoint.

To set the \f5name\fR attribute:
.RS 2m
.IP "\(bu" 2m
provide the argument \f5endpoint\fR on the command line.
.RE
.sp

This positional argument must be specified if any of the other arguments in this
group are specified.

.TP 2m
\fB\-\-region\fR=\fIREGION\fR

Cloud region for the endpoint.

To set the \f5region\fR attribute:
.RS 2m
.IP "\(bu" 2m
provide the argument \f5endpoint\fR on the command line with a fully specified
name;
.IP "\(bu" 2m
provide the argument \f5\-\-region\fR on the command line;
.IP "\(bu" 2m
set the property \f5ai/region\fR;
.IP "\(bu" 2m
choose one from the prompted list of available regions.
.RE
.sp


.RE
.RE
.sp

.SH "REQUIRED FLAGS"

.RS 2m
.TP 2m
\fB\-\-request\fR=\fIREQUEST\fR

The request to send to the endpoint.

If the request starts with the letter '\fB@\fR', the rest should be a file name
to read the request from, or '\fB@\-\fR' to read from \fBstdin\fR. If the
request body actually starts with '\fB@\fR', it must be placed in a file.

If required, the \fBContent\-Type\fR header should also be set appropriately,
particularly for binary data.


.RE
.sp

.SH "OPTIONAL FLAGS"

.RS 2m
.TP 2m
\fB\-\-http\-headers\fR=[\fIHEADER\fR=\fIVALUE\fR,...]

List of header and value pairs to send as part of the request. For example, to
set the \fBContent\-Type\fR and \fBX\-Header\fR:

.RS 2m
\-\-http\-headers=Content\-Type="application/json",X\-Header=Value
.RE


.RE
.sp

.SH "GCLOUD WIDE FLAGS"

These flags are available to all commands: \-\-access\-token\-file, \-\-account,
\-\-billing\-project, \-\-configuration, \-\-flags\-file, \-\-flatten,
\-\-format, \-\-help, \-\-impersonate\-service\-account, \-\-log\-http,
\-\-project, \-\-quiet, \-\-trace\-token, \-\-user\-output\-enabled,
\-\-verbosity.

Run \fB$ gcloud help\fR for details.



.SH "NOTES"

These variants are also available:

.RS 2m
$ gcloud alpha ai endpoints stream\-raw\-predict
.RE

.RS 2m
$ gcloud beta ai endpoints stream\-raw\-predict
.RE