{"id":195821,"date":"2025-03-15T19:33:03","date_gmt":"2025-03-16T00:33:03","guid":{"rendered":"https:\/\/narcolepticnerd.com\/2025\/03\/15\/build-scalable-ai-agents-langbase-and-the-gemini-api\/"},"modified":"2025-03-15T19:33:03","modified_gmt":"2025-03-16T00:33:03","slug":"build-scalable-ai-agents-langbase-and-the-gemini-api","status":"publish","type":"post","link":"https:\/\/narcolepticnerd.com\/2025\/03\/15\/build-scalable-ai-agents-langbase-and-the-gemini-api\/","title":{"rendered":"Build Scalable AI Agents: Langbase and the Gemini API"},"content":{"rendered":"

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As the AI landscape rapidly evolves, a particularly exciting development is the rise of AI agents. These aren’t just simple chatbots; they are sophisticated systems where advanced language models actively manage their own operations and use various tools to achieve specific goals, all under a developer\u2019s direction and supervision. For developers, this shift opens up incredible opportunities to create a new generation of applications that can automate intricate processes, make workflows more efficient, and provide users with highly personalized experiences.<\/p>\n

Langbase<\/a> empowers developers to build, deploy, and scale composable AI agents. Their platform’s seamless integration with the Gemini models, particularly Gemini Flash, is unlocking a new level of performance and efficiency for AI agent development.<\/p>\n


<\/b>Gemini models for building AI Agents<\/h2>\n

Langbase’s extensive evaluations highlight advantages of leveraging Gemini models for building AI agents.<\/p>\n