Crea una plantilla de instrucción parametrizada
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En este muestra de código, se muestra cómo compilar una plantilla de instrucciones parametrizada para generar contenido con varios conjuntos de variables.
Muestra de código
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[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","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)."]]