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Specificare i valori enum di generazione controllata in uno schema JSON
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Specifica l'elenco dei valori di enumerazione della risposta in uno schema JSON. Il modello seleziona un valore enum da un elenco di valori definiti nello schema.
Esempio di codice
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[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Difficile da capire","hardToUnderstand","thumb-down"],["Informazioni o codice di esempio errati","incorrectInformationOrSampleCode","thumb-down"],["Mancano le informazioni o gli esempi di cui ho bisogno","missingTheInformationSamplesINeed","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Altra","otherDown","thumb-down"]],[],[],[],null,["# Specify controlled generation enum values in a JSON schema\n\nSpecify the list of response enum values in a JSON schema. The model selects an enum value from a list values that are defined in the schema.\n\nCode sample\n-----------\n\n### Go\n\n\nBefore trying this sample, follow the Go 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 Go API\nreference documentation](/go/docs/reference/cloud.google.com/go/aiplatform/latest/apiv1).\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 (\n \t\"context\"\n \t\"errors\"\n \t\"fmt\"\n \t\"io\"\n\n \t\"cloud.google.com/go/vertexai/genai\"\n )\n\n // controlledGenerationResponseSchemaEnum demonstrates how to constrain model responses\n // to a predefined set of enum values for genre classification.\n func controlledGenerationResponseSchemaEnum(w io.Writer, projectID, location, modelName string) error {\n \t// location = \"us-central1\"\n \t// modelName = \"gemini-2.0-flash-001\"\n \tctx := context.Background()\n \tclient, err := genai.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_Client_NewClient(ctx, projectID, location)\n \tif err != nil {\n \t\treturn fmt.Errorf(\"failed to create GenAI client: %w\", err)\n \t}\n \tdefer client.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_Client_Close()\n\n \tmodel := client.GenerativeModel(modelName)\n\n \tmodel.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_GenerationConfig.ResponseMIMEType = \"text/x.enum\"\n \tmodel.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_GenerationConfig.ResponseSchema = &genai.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_Schema{\n \t\tType: genai.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_TypeUnspecified_TypeString_TypeNumber_TypeInteger_TypeBoolean_TypeArray_TypeObject,\n \t\tEnum: []string{\"drama\", \"comedy\", \"documentary\"},\n \t}\n\n \tprompt := `\n The film aims to educate and inform viewers about real-life subjects, events, or people.\n It offers a factual record of a particular topic by combining interviews, historical footage,\n and narration. The primary purpose of a film is to present information and provide insights\n into various aspects of reality.\n `\n\n \tres, err := model.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_GenerativeModel_GenerateContent(ctx, genai.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_Text(prompt))\n \tif err != nil {\n \t\treturn fmt.Errorf(\"failed to generate content: %w\", err)\n \t}\n\n \tif len(res.Candidates) == 0 || len(res.Candidates[0].https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_Content.Parts) == 0 {\n \t\treturn errors.https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai/tokenizer.html#cloud_google_com_go_vertexai_genai_tokenizer_Tokenizer_New(\"got empty response from model\")\n \t}\n\n \tfmt.Fprintf(w, \"Candidate label: %q\", res.Candidates[0].https://cloud.google.com/vertex-ai/generative-ai/docs/reference/go/latest/genai.html#cloud_google_com_go_vertexai_genai_Content.Parts[0])\n \t// Example response:\n \t// Candidate label: \"documentary\"\n\n \treturn nil\n }\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)."]]