Mulai 29 April 2025, model Gemini 1.5 Pro dan Gemini 1.5 Flash tidak tersedia di project yang belum pernah menggunakan model ini, termasuk project baru. Untuk mengetahui detailnya, lihat
Versi dan siklus proses model.
Membuat dan menggunakan Perintah Vertex AI untuk membuat teks
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Contoh ini menunjukkan cara membuat instance Perintah, membuat teks menggunakan perintah yang disusun, dan menyimpan versi Perintah.
Mempelajari lebih lanjut
Untuk dokumentasi mendetail yang menyertakan contoh kode ini, lihat artikel berikut:
Contoh kode
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
[[["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"]],[],[],[],null,["# Create and use a Vertex AI Prompt to generate text\n\nThis sample demonstrates how to create a Prompt instance, generate text using the assembled prompt, and save a version of the Prompt.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Prompt management](/vertex-ai/generative-ai/docs/model-reference/prompt-classes)\n\nCode sample\n-----------\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Python API\nreference documentation](/python/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n import https://cloud.google.com/python/docs/reference/vertexai/latest/\n from vertexai.preview import https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.prompts.html\n from vertexai.preview.prompts import Prompt\n\n # from vertexai.generative_models import GenerationConfig, SafetySetting # Optional\n\n # Initialize vertexai\n https://cloud.google.com/python/docs/reference/vertexai/latest/.init(project=PROJECT_ID, location=\"us-central1\")\n\n # Create local Prompt\n local_prompt = Prompt(\n prompt_name=\"movie-critic\",\n prompt_data=\"Compare the movies {movie1} and {movie2}.\",\n variables=[\n {\"movie1\": \"The Lion King\", \"movie2\": \"Frozen\"},\n {\"movie1\": \"Inception\", \"movie2\": \"Interstellar\"},\n ],\n model_name=\"gemini-2.0-flash-001\",\n system_instruction=\"You are a movie critic. Answer in a short sentence.\",\n # generation_config=GenerationConfig, # Optional,\n # safety_settings=SafetySetting, # Optional,\n )\n\n # Generate content using the assembled prompt for each variable set.\n for i in range(len(local_prompt.variables)):\n response = local_prompt.https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.prompts.Prompt.html#vertexai_preview_prompts_Prompt_generate_content(\n contents=local_prompt.https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.prompts.Prompt.html#vertexai_preview_prompts_Prompt_assemble_contents(**local_prompt.variables[i])\n )\n print(response)\n\n # Save a version\n prompt1 = https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.prompts.html.https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.prompts.html(prompt=local_prompt)\n\n print(prompt1)\n\n # Example response\n # Assembled prompt replacing: 1 instances of variable movie1, 1 instances of variable movie2\n # Assembled prompt replacing: 1 instances of variable movie1, 1 instances of variable movie2\n # Created prompt resource with id 12345678910.....\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=generativeaionvertexai)."]]