Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Halaman ini memandu Anda menginstal library klien Vertex AI untuk lingkungan terisolasi Google Distributed Cloud (GDC), yang memungkinkan Anda berinteraksi dengan berbagai layanan Vertex AI dari aplikasi dan lingkungan pengembangan Anda. Anda dapat mempelajari jenis library klien yang tersedia untuk Vertex AI API dan langkah-langkah untuk menginstalnya dari file tar.
Halaman ini ditujukan bagi developer aplikasi dalam grup operator aplikasi yang bertanggung jawab untuk menyiapkan aplikasi dan lingkungan pengembangan mereka guna mengaktifkan fitur AI. Untuk mengetahui informasi selengkapnya, lihat dokumentasi Audiens untuk GDC yang terisolasi dari internet.
Setiap layanan Vertex AI menyediakan API. Meskipun Anda dapat berinteraksi langsung dengan API ini melalui permintaan server mentah, library klien menyederhanakan akses terprogram dari bahasa yang didukung di Distributed Cloud. Hal ini mengurangi kode yang diperlukan, terutama saat bekerja di lingkungan seperti notebook JupyterLab.
Anda dapat menginstal library klien Vertex AI menggunakan metode berikut:
Ekstrak file library langsung dari file tar.
Gunakan notebook JupyterLab untuk mengimpor library.
Mengimpor library klien dari notebook. Untuk mengetahui informasi selengkapnya, lihat Mengelola notebook.
Library klien Vertex AI
Vertex AI menawarkan berbagai versi library klien untuk sistem operasi CentOS dan Ubuntu.
Konvensi penamaan library klien Vertex AI dalam file tar
didasarkan pada sistem operasi, nama layanan, dan versi. Nama file mengikuti format berikut:
OS-google-cloud-SERVICE-VERSION.tar.gz
Ganti kode berikut:
OS: nama sistem operasi tempat Anda ingin
menginstal library klien. Nilai yang diizinkan adalah centos dan ubuntu.
SERVICE: nama layanan Vertex AI
tempat Anda ingin mendownload library klien. Berikut adalah
nilai yang diizinkan:
aiplatform: library klien Vertex AI Platform.
speech: library klien Speech-to-Text.
translate: pustaka klien Vertex AI Translation.
vision: library klien OCR.
VERSION: nomor versi library klien,
seperti 3.8.0.
Tabel berikut berisi library klien Vertex AI yang didukung Distributed Cloud:
Untuk mengetahui informasi selengkapnya tentang cara melakukan autentikasi dengan penyedia identitas yang dikonfigurasi, lihat autentikasi gdcloud CLI.
Pastikan Anda telah menginstal Python versi 3.7.
Menginstal library klien
Setelah menyelesaikan prasyarat, ikuti langkah-langkah berikut untuk
mendownload file tar, dan menggunakan file tar untuk menginstal library klien:
Ganti FOLDER_NAME dengan jalur ke direktori
lokal tempat Anda mendownload file library.
Impor library klien menggunakan skrip Python. Contoh berikut menunjukkan
cuplikan kode skrip Python yang mengimpor library klien Vertex AI Translation
untuk mengilustrasikan seperti apa tampilan library yang diimpor:
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[[["\u003cp\u003eGoogle Distributed Cloud (GDC) air-gapped offers Vertex AI services like OCR, Vertex AI Translation, and Speech-to-Text, each with its own API accessible through client libraries.\u003c/p\u003e\n"],["\u003cp\u003eClient libraries are the recommended method for accessing Vertex AI APIs programmatically, simplifying the process compared to making raw server requests.\u003c/p\u003e\n"],["\u003cp\u003eVertex AI client libraries are available for both CentOS and Ubuntu operating systems, with filenames formatted as \u003ccode\u003eOS-google-cloud-SERVICE-VERSION.tar.gz\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eInstalling a client library involves downloading the tar file from the GDC URL, extracting it, and then using \u003ccode\u003epip\u003c/code\u003e to install it in Distributed Cloud.\u003c/p\u003e\n"],["\u003cp\u003eBefore downloading the tar file, it is mandatory that the user set up a project for Vertex AI, authenticate with gdcloud CLI and assign the \u003ccode\u003ecloud-ai-viewer\u003c/code\u003e role to a service account.\u003c/p\u003e\n"]]],[],null,["# Install Vertex AI client libraries\n\nThis page guides you through installing Vertex AI client libraries for Google Distributed Cloud (GDC) air-gapped, which let you interact with various Vertex AI services from your application and development environment. You can learn about the types of client libraries available for Vertex AI APIs and the steps for installing them from the tar file.\n\n\u003cbr /\u003e\n\nThis page is for application developers within application operator groups responsible for setting up their application and development environments to enable AI features. For more information, see [Audiences for GDC air-gapped documentation](/distributed-cloud/hosted/docs/latest/gdch/resources/audiences).\n\nEach Vertex AI service provides an API. While you can interact directly with these APIs through raw server requests, client libraries simplify programmatic access from supported languages on Distributed Cloud. They reduce the necessary code required, especially when working in environments like a JupyterLab notebook.\n\nYou can install a Vertex AI client library using these methods:\n\n- Extract the library file directly from the tar file.\n- Use a JupyterLab notebook to import the library.\n- Import a client library from a notebook. For information, see [Manage notebooks](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-workbench).\n\nVertex AI client libraries\n--------------------------\n\nVertex AI offers different versions of client libraries for\nCentOS and Ubuntu operating systems.\n\nThe naming conventions of Vertex AI client libraries in the tar\nfile are based on the operating system, the service name, and the version. The\nfilenames adhere to the following format: \n\n \u003cvar translate=\"no\"\u003eOS\u003c/var\u003e-google-cloud-\u003cvar translate=\"no\"\u003eSERVICE\u003c/var\u003e-\u003cvar translate=\"no\"\u003eVERSION\u003c/var\u003e.tar.gz\n\nReplace the following:\n\n- \u003cvar translate=\"no\"\u003eOS\u003c/var\u003e: the name of the operating system where you want to install the client library. Allowed values are `centos` and `ubuntu`.\n- \u003cvar translate=\"no\"\u003eSERVICE\u003c/var\u003e: the name of the Vertex AI\n service from which you want to download the client library. The following are\n the allowed values:\n\n - `aiplatform`: the Vertex AI Platform client library.\n - `speech`: the Speech-to-Text client library.\n - `translate`: the Vertex AI Translation client library.\n - `vision`: the OCR client library.\n- \u003cvar translate=\"no\"\u003eVERSION\u003c/var\u003e: the version number of the client library,\n such as `3.8.0`.\n\nThe following table contains the Vertex AI client libraries that\nDistributed Cloud supports:\n\n| **Important:** You must install the Vertex AI Platform client library to use Generative AI models like Text Embedding and Text Embedding Multilingual.\n\nBefore you begin\n----------------\n\nBefore downloading the tar file and extracting client libraries, follow these\nsteps:\n\n1. [Set up a project for Vertex AI](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-set-up-project).\n\n2. Authenticate with gdcloud CLI:\n\n gdcloud auth login\n\n For more information about how to authenticate with your configured identity\n provider, see [the gdcloud CLI authentication](/distributed-cloud/hosted/docs/latest/gdch/resources/gdcloud-auth).\n3. Verify that you have installed Python version 3.7.\n\nInstall a client library\n------------------------\n\nAfter completing the [prerequisites](#before-you-begin), follow these steps to\ndownload the tar file, and use the tar file to install a client library:\n\n1. Download the client library you want to install:\n\n wget https://\u003cvar translate=\"no\"\u003eGDC_URL\u003c/var\u003e/.well-known/static/client-libraries/\u003cvar translate=\"no\"\u003eCLIENT_LIBRARY\u003c/var\u003e\n\n Replace the following:\n - \u003cvar translate=\"no\"\u003eGDC_URL\u003c/var\u003e: the URL of your organization in GDC.\n - \u003cvar translate=\"no\"\u003eCLIENT_LIBRARY\u003c/var\u003e: the filename of the [client library](#clientlib) you want to download.\n2. Extract the library file:\n\n tar -zxf \u003cvar translate=\"no\"\u003eCLIENT_LIBRARY\u003c/var\u003e\n\n3. Install the client library in Distributed Cloud:\n\n pip install -r \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-n\"\u003eFOLDER_NAME\u003c/span\u003e\u003c/var\u003e/requirements.txt --no-index --find-links \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-n\"\u003eFOLDER_NAME\u003c/span\u003e\u003c/var\u003e\n\n Replace \u003cvar translate=\"no\"\u003eFOLDER_NAME\u003c/var\u003e with the path to the local\n directory where you downloaded the library file.\n4. Import the client library using a Python script. The following example shows\n a code snippet of a Python script that imports the Vertex AI Translation\n client library to illustrate what importing libraries looks like:\n\n from google.cloud import https://cloud.google.com/python/docs/reference/translate/latest/google.cloud.translate_v2.client.Client.html\n translate_client = https://cloud.google.com/python/docs/reference/translate/latest/google.cloud.translate_v2.client.Client.html.https://cloud.google.com/python/docs/reference/translate/latest/google.cloud.translate_v2.client.Client.html(\n client_options={\"\u003cvar translate=\"no\"\u003eAPI_ENDPOINT\u003c/var\u003e\": \"https://foo-translation.googleapis.com\"})\n result\n = translate_client.https://cloud.google.com/python/docs/reference/translate/latest/google.cloud.translate_v2.client.Client.html(text, target_language=\"ru\")\n\n [...]\n\n | **Note:** This code sample is not complete. To make a Vertex AI Translation request, [learn about translation features](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/vertex-ai-translation) or [translate text](/distributed-cloud/hosted/docs/latest/gdch/application/ao-user/quickstart-translation).\n5. Save the Python script with a name, such as `translation-service.py`.\n\n6. Run the Python script:\n\n python \u003cvar translate=\"no\"\u003e\u003cspan class=\"devsite-syntax-n\"\u003eSCRIPT_NAME\u003c/span\u003e\u003c/var\u003e\n\n Replace \u003cvar translate=\"no\"\u003eSCRIPT_NAME\u003c/var\u003e with the name you gave to your\n Python script, such as `translation-service.py`."]]
