google_cloud_aiplatform_v1beta1 0.1.0
google_cloud_aiplatform_v1beta1: ^0.1.0 copied to clipboard
The Google Cloud client library for the Vertex AI API.
example/main.dart
// Copyright 2025 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import 'package:google_cloud_aiplatform_v1beta1/aiplatform.dart';
import 'package:googleapis_auth/auth_io.dart' as auth;
void main() async {
// Before running this example, you need to authenticate with gcloud:
//
// ```shell
// $ gcloud auth application-default login
// ```
//
// For more detailed instructions, complete these "Before you begin"
// instructions:
// https://cloud.google.com/vertex-ai/docs/start/client-libraries#before_you_begin
const projectId = ''; // Enter your projectId here.
if (projectId.isEmpty) {
print('Please provide a project ID in the `projectId` constant.');
return;
}
final client = await auth.clientViaApplicationDefaultCredentials(
scopes: ['https://www.googleapis.com/auth/cloud-platform'],
);
final service = PredictionService(client: client);
final request = GenerateContentRequest(
model:
'projects/$projectId/locations/global/'
'publishers/google/models/gemini-2.5-flash',
contents: [
Content(
parts: [Part(text: "Explain how AI works in a few words")],
role: "user",
),
],
);
final result = await service.generateContent(request);
final parts = result.candidates?[0].content?.parts;
if (parts == null) {
print('<No textual response>');
} else {
print(parts.map((p) => p.text ?? '').join(''));
}
service.close();
}