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Untuk menggunakan Vertex AI Agent Engine, Anda harus mengembangkan agen yang dapat di-deploy di Vertex AI Agent Engine terlebih dahulu. Cara termudah untuk mengembangkan agen adalah dengan menggunakan salah satu template khusus framework yang kami sediakan. Template khusus framework secara otomatis menangani beberapa aspek umum dalam mengembangkan agen seperti serialisasi objek dan memisahkan kode yang menginisialisasi agen dari kode yang merespons perintah. Kami menyediakan template khusus framework berikut:
Dirancang berdasarkan praktik terbaik internal Google untuk developer yang membangun aplikasi AI atau tim yang perlu membuat prototipe dan men-deploy solusi berbasis agen yang andal dengan cepat.
[[["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"]],["Terakhir diperbarui pada 2025-09-10 UTC."],[],[],null,["Overview\n\nTo use Vertex AI Agent Engine, you must first develop an agent that can be deployed on Vertex AI Agent Engine. The easiest way to develop an agent is to use one of the framework-specific templates that we provide. Framework-specific templates automatically handle some of the common aspects of developing an agent such as serializing objects and separating the code that initializes an agent from the code that responds to prompts. We provide the following framework-specific templates:\n\n| Framework | Description |\n|-------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Agent Development Kit](/vertex-ai/generative-ai/docs/agent-engine/develop/adk) | Designed based on Google's internal best practices for developers building AI applications or teams needing to rapidly prototype and deploy robust agent-based solutions. |\n| [Agent2Agent](/vertex-ai/generative-ai/docs/agent-engine/develop/a2a) (preview) | The [Agent2Agent (A2A) protocol](https://a2a-protocol.org/) is an open standard designed to enable seamless communication and collaboration between AI agents. |\n| [LangChain](/vertex-ai/generative-ai/docs/agent-engine/develop/langchain) | Easier to implement for basic use cases because of its predefined configurations and abstractions. |\n| [LangGraph](/vertex-ai/generative-ai/docs/agent-engine/develop/langgraph) | Graph-based approach to defining workflows, with advanced human-in-the-loop and rewind/replay capabilities. |\n| [AG2 (formerly AutoGen)](/vertex-ai/generative-ai/docs/agent-engine/develop/ag2) | AG2 provides multi-agent conversation framework as a high-level abstraction for building LLM workflows. |\n| [LlamaIndex](/vertex-ai/generative-ai/docs/agent-engine/develop/llama-index/query-pipeline) (preview) | LlamaIndex's query pipeline offers a high-level interface for creating Retrieval-Augmented Generation (RAG) workflows. |\n\nIf your use case doesn't align with one of the framework-specific templates, you can [develop your own custom agent](/vertex-ai/generative-ai/docs/agent-engine/develop/custom).\n\nAgent2Agent (A2A) protocol\n\nIf you are building a multi-agent system, we highly recommend reviewing the [A2A Protocol](https://a2a-protocol.org/). A2A Protocol is an open standard that enables seamless communication and collaboration between AI agents, regardless of their underlying frameworks. It was [donated by Google Cloud to the Linux Foundation in June 2025](https://developers.googleblog.com/en/google-cloud-donates-a2a-to-linux-foundation/). To use the A2A SDKs, or try out the samples, check out the [GitHub repository](https://github.com/a2aproject/A2A).\n\nWhat's next\n\n- [Develop a custom agent](/vertex-ai/generative-ai/docs/agent-engine/develop/custom).\n- [Evaluate an agent](/vertex-ai/generative-ai/docs/agent-engine/evaluate).\n- [Deploy an agent](/vertex-ai/generative-ai/docs/agent-engine/deploy).\n- [Get support](/vertex-ai/generative-ai/docs/agent-engine/support)."]]
