Build Scalable AI Agents: Langbase and the Gemini API- Google Developers Blog

This post details the integration of Gemini models (specifically Gemini Flash) with the Langbase platform for building and scaling AI agents. It highlights the performance benefits of Gemini models, including a 1M token context window, faster response times (28% improvement for Gemini 1.5 Flash), cost reduction (50%), and higher throughput (78% higher with Gemini 1.5 Flash, 131.1 tokens/sec). Langbase is presented as a serverless platform that simplifies agent development by bundling infrastructure, agent building, and model orchestration, and supports semantic RAG for memory agents.