您可以使用 Vertex AI Studio 来设计、测试和管理发送给 Google 的 Gemini 大语言模型 (LLM) 及第三方模型的提示。Vertex AI Studio 支持某些第三方模型，这些模型在 Vertex AI 上以模型即服务 (MaaS) 的形式提供，例如 Anthropic 的 Claude 模型和 Meta 的 Llama 模型。
在本快速入门中，您将执行以下操作：
使用生成式 AI 提示库中的示例将这些提示发送到 Gemini API，包括以下提示：
文本总结提示
代码生成提示
查看用于生成回答的代码
在 Vertex AI Studio 中开始使用提示之前的准备工作
本快速入门需要您完成以下步骤，以设置Google Cloud 项目并启用 Vertex AI API。
Sign in to your Google Cloud account. If you're new to
Google Cloud,
create an account to evaluate how our products perform in
real-world scenarios. New customers also get $300 in free credits to
run, test, and deploy workloads.
In the Google Cloud console, on the project selector page,
select or create a Google Cloud project.
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-09-04。"],[],[],null,["# Quickstart: Send text prompts to Gemini using Vertex AI Studio\n\nYou can use Vertex AI Studio to design, test, and manage prompts for\nGoogle's [Gemini](/vertex-ai/generative-ai/docs/overview) large language models\n(LLMs) and third-party models. Vertex AI Studio supports certain\nthird-party models that are offered on Vertex AI as [models as a\nservice (MaaS)](/vertex-ai/generative-ai/docs/partner-models/use-partner-models), such as\nAnthropic's Claude models and Meta's Llama models.\n| **Note:** On your initial use for third-party models, Vertex AI prompts you to accept the third-party's terms and conditions. You must do this once for each third-party provider to start using their models.\n\nIn this quickstart, you:\n\n- Send these prompts to the Gemini API using samples from the generative AI prompt gallery, including the following:\n - A summarization text prompt\n - A code generation prompt\n- View the code used to generate the responses\n\nBefore you begin prompting in Vertex AI Studio\n----------------------------------------------\n\nThis quickstart requires you to complete the following steps to set up a\nGoogle Cloud project and enable the Vertex AI API.\n\n- Sign in to your Google Cloud account. If you're new to Google Cloud, [create an account](https://console.cloud.google.com/freetrial) to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Vertex AI API.\n\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com)\n\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Vertex AI API.\n\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com)\n\n\u003cbr /\u003e\n\nSample prompts in Vertex AI Studio\n----------------------------------\n\nA prompt is a natural language request submitted to a language model that\ngenerates a response. Prompts can contain questions, instructions, contextual\ninformation, [few-shot examples](/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design#few-shot-examples),\nand partial input for the model to complete. After the model receives a prompt,\ndepending on the type of model used, it can generate text, embeddings, code,\nimages, videos, music, and more.\n\nThe sample prompts in Vertex AI Studio [prompt gallery](/vertex-ai/generative-ai/docs/prompt-gallery)\nare predesigned to help demonstrate model capabilities. Each prompt is\npreconfigured with specified model and parameter values so you can open the\nsample prompt and click **Submit** to generate a response.\n\nTest the Gemini flash model using a summarization text prompt\n-------------------------------------------------------------\n\nSend a summarization text prompt to the Gemini API in Vertex AI. A summarization\ntask extracts the most important information from text. You can provide\ninformation in the prompt to help the model create a summary, or ask the model\nto create a summary on its own.\n\n1. Go to the **Prompt gallery** page from the Vertex AI\n section in the Google Cloud console. \n\n [Go to prompt gallery](https://console.cloud.google.com/vertex-ai/studio/prompt-gallery)\n\n2. In the **Tasks** drop-down menu, select **Summarize**.\n\n3. Open the **Audio summarization** card.\n\n This sample prompt includes an audio file and requests a summary of the file\n contents in a bulleted list.\n\n4. Notice that in the settings panel, the model's default value is set to\n **Gemini-2.0-flash-001** . You can choose a different Gemini model\n by clicking **Switch model**.\n\n5. Click **Submit** to generate the summary.\n\n The output is displayed in the response.\n6. To view the Vertex AI API code used to generate the transcript\n summary, click **Build with code** \\\u003e **Get code**.\n\n In the **Get code** panel, you can choose your preferred language to get the\n sample code for the prompt, or you can open the Python code in a\n Colab Enterprise notebook.\n\nTest the Gemini flash model using a code generation prompt\n----------------------------------------------------------\n\nSend a code generation prompt to the Gemini API in Vertex AI. A code generation task generates code\nusing a natural language description.\n\n1. Go to the **Prompt gallery** page from the Vertex AI\n section in the Google Cloud console. \n\n [Go to prompt gallery](https://console.cloud.google.com/vertex-ai/studio/prompt-gallery)\n\n2. In the **Tasks** drop-down menu, select **Code**.\n\n3. Open the **Generate code from comments** card.\n\n This sample prompt includes a [system instruction](/vertex-ai/generative-ai/docs/learn/prompts/system-instruction-introduction)\n that tells the model how to respond and some incomplete Java methods.\n\n4. Notice that in the settings panel, the model's default value is set to\n **Gemini-2.0-flash-001** . You can choose a different Gemini model\n by clicking **Switch model**.\n\n5. To complete each method by generating code in the areas marked\n `\u003cWRITE CODE HERE\u003e`, click **Submit** .\n\n The output is displayed in the response.\n6. To view the Vertex AI API code used to generate the transcript\n summary, click **Build with code** \\\u003e **Get code**.\n\n In the **Get code** panel, you can choose your preferred language to get the\n sample code for the prompt, or you can open the Python code in a\n Colab Enterprise notebook.\n\nDiscover what's next with prompts\n---------------------------------\n\n- See an [introduction to prompt design](/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design).\n- Learn about [designing multimodal prompts](/vertex-ai/generative-ai/docs/multimodal/design-multimodal-prompts) and [chat prompts](/vertex-ai/generative-ai/docs/chat/chat-prompts)."]]
