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.
Output JSON pembuatan terkontrol dengan nilai null
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Mengizinkan model menghasilkan respons null jika tidak memiliki cukup konteks untuk menghasilkan respons yang bermakna.
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,["# Controlled generation JSON output with null values\n\nAllow the model to output null responses when it doesn't have enough context to generate a meaningful response.\n\nCode sample\n-----------\n\n### C#\n\n\nBefore trying this sample, follow the C# 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 C# API\nreference documentation](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/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 public async Task\u003cstring\u003e GenerateContentWithResponseSchema3(\n string projectId = \"your-project-id\",\n string location = \"us-central1\",\n string publisher = \"google\",\n string model = \"gemini-2.0-flash-001\")\n {\n\n var predictionServiceClient = new PredictionServiceClientBuilder\n {\n Endpoint = $\"{location}-aiplatform.googleapis.com\"\n }.Build();\n\n var responseSchema = new OpenApiSchema\n {\n Type = Type.Object,\n Properties =\n {\n [\"forecast\"] = new()\n {\n Type = Type.Array,\n Items = new()\n {\n Type = Type.Object,\n Properties =\n {\n [\"Forecast\"] = new() { Type = Type.String },\n [\"Humidity\"] = new() { Type = Type.String },\n [\"Temperature\"] = new() { Type = Type.Integer },\n [\"Wind Speed\"] = new() { Type = Type.Integer }\n }\n }\n }\n }\n };\n\n string prompt = @\"\n The week ahead brings a mix of weather conditions.\n Sunday is expected to be sunny with a temperature of 77°F and a humidity level of 50%. Winds will be light at around 10 km/h.\n Monday will see partly cloudy skies with a slightly cooler temperature of 72°F and humidity increasing to 55%. Winds will pick up slightly to around 15 km/h.\n Tuesday brings rain showers, with temperatures dropping to 64°F and humidity rising to 70%. Expect stronger winds at 20 km/h.\n Wednesday may see thunderstorms, with a temperature of 68°F and high humidity of 75%. Winds will be gusty at 25 km/h.\n Thursday will be cloudy with a temperature of 66°F and moderate humidity at 60%. Winds will ease slightly to 18 km/h.\n Friday returns to partly cloudy conditions, with a temperature of 73°F and lower humidity at 45%. Winds will be light at 12 km/h.\n Finally, Saturday rounds off the week with sunny skies, a temperature of 80°F, and a humidity level of 40%. Winds will be gentle at 8 km/h.\";\n\n var generateContentRequest = new GenerateContentRequest\n {\n Model = $\"projects/{projectId}/locations/{location}/publishers/{publisher}/models/{model}\",\n Contents =\n {\n new Content\n {\n Role = \"USER\",\n Parts =\n {\n new Part { Text = prompt }\n }\n }\n },\n GenerationConfig = new GenerationConfig\n {\n ResponseMimeType = \"application/json\",\n ResponseSchema = responseSchema\n },\n };\n\n GenerateContentResponse response = await predictionServiceClient.GenerateContentAsync(generateContentRequest);\n\n string responseText = response.Candidates[0].Content.Parts[0].Text;\n Console.WriteLine(responseText);\n\n return responseText;\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)."]]