📄 中文摘要
在快速发展的生成式人工智能领域，开发者面临着不断演变的工具和平台。许多早期使用 Google 生成 AI 库的开发者，现在需要迁移到更为强大且企业级的平台，以实现可扩展性、增强的安全性和丰富的功能集。迁移过程以 Python 为基础的 LLM 驱动的聊天系统为例，详细探讨了从遗留的 Google 生成 AI SDK 迁移到全面的 Vertex AI 平台的实践旅程，深入分析了架构的变化和实现的稳定性。
迁移到 Vertex AI：LLM 工具重构和 SSE 流稳定性的实用指南
📄 English Summary
Migrating to Vertex AI: A Practical Guide to LLM Tooling Refactoring and SSE Streaming Stability in Python
In the rapidly evolving landscape of generative AI, developers are confronted with constantly changing tools and platforms. Many who began with early-access SDKs like the Google Generative AI library now find it necessary to migrate to more robust, enterprise-grade platforms to achieve scalability, enhanced security, and a richer feature set. This migration journey focuses on a Python-based LLM-powered chat system, detailing the practical steps taken to transition from the legacy Google Generative AI SDK to the comprehensive Vertex AI platform, with an in-depth analysis of architectural changes and stability in implementation.