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 template perintah berparameter
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Contoh kode ini menunjukkan cara membuat template perintah berparameter untuk membuat konten dengan beberapa set variabel.
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 a parameterized prompt template\n\nThis code sample shows how to build a parameterized prompt template to generate content with multiple variable sets.\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.prompts import Prompt\n\n # Initialize vertexai\n https://cloud.google.com/python/docs/reference/vertexai/latest/.init(project=PROJECT_ID, location=\"us-central1\")\n\n variables = [\n {\"animal\": \"Eagles\", \"activity\": \"eat berries\"},\n {\"animal\": \"Coyotes\", \"activity\": \"jump\"},\n {\"animal\": \"Squirrels\", \"activity\": \"fly\"}\n ]\n\n # define prompt template\n prompt = Prompt(\n prompt_data=\"Do {animal} {activity}?\",\n model_name=\"gemini-2.0-flash-001\",\n variables=variables,\n system_instruction=\"You are a helpful zoologist\"\n # generation_config=generation_config, # Optional\n # safety_settings=safety_settings, # Optional\n )\n\n # Generates content using the assembled prompt.\n responses = []\n for variable_set in prompt.variables:\n response = prompt.https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.prompts.Prompt.html#vertexai_preview_prompts_Prompt_generate_content(\n contents=prompt.https://cloud.google.com/python/docs/reference/vertexai/latest/vertexai.preview.prompts.Prompt.html#vertexai_preview_prompts_Prompt_assemble_contents(**variable_set)\n )\n responses.append(response)\n\n for response in responses:\n print(response.text, end=\"\")\n\n # Example response\n # Assembled prompt replacing: 1 instances of variable animal, 1 instances of variable activity\n # Eagles are primarily carnivorous. While they might *accidentally* ingest a berry......\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)."]]