A partire dal 29 aprile 2025, i modelli Gemini 1.5 Pro e Gemini 1.5 Flash non sono disponibili nei progetti che non li hanno mai utilizzati, inclusi i nuovi progetti. Per maggiori dettagli, vedi Versioni e ciclo di vita dei modelli.
[[["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"]],["Ultimo aggiornamento 2024-05-17 UTC."],[],[],null,["# Interface GenerationConfig (1.9.0)\n\nConfiguration options for model generation and outputs.\n\nPackage\n-------\n\n[@google-cloud/vertexai](../overview.html)\n\nProperties\n----------\n\n### candidateCount\n\n candidateCount?: number;\n\nOptional. Number of candidates to generate.\n\n### frequencyPenalty\n\n frequencyPenalty?: number;\n\nOptional. Positive values penalize tokens that repeatedly appear in the generated text, decreasing the probability of repeating content. This maximum value for frequencyPenalty is up to, but not including, 2.0. Its minimum value is -2.0. Supported by gemini-1.5-pro and gemini-1.5-flash only.\n\n### maxOutputTokens\n\n maxOutputTokens?: number;\n\nOptional. The maximum number of output tokens to generate per message.\n\n### responseMimeType\n\n responseMimeType?: string;\n\nOptional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined.\n\n### responseSchema\n\n responseSchema?: ResponseSchema;\n\nOptional. The schema that generated candidate text must follow. For more information, see \u003chttps://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/control-generated-output\u003e. If set, a compatible responseMimeType must also be set.\n\n### stopSequences\n\n stopSequences?: string[];\n\nOptional. Stop sequences.\n\n### temperature\n\n temperature?: number;\n\nOptional. Controls the randomness of predictions.\n\n### topK\n\n topK?: number;\n\nOptional. If specified, topK sampling will be used.\n\n### topP\n\n topP?: number;\n\nOptional. If specified, nucleus sampling will be used."]]
