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This article presents an innovative middleware software concept designed for centralized management of access to artificial intelligence API services under modern geopolitical restrictions and challenges. The paper thoroughly examines complex issues, encompassing both the significant lack of effective tools for managing multiple API keys and the critical need to ensure reliable uninterrupted access to international AI services for organizations located in regions with limited access to global technological resources. As a solution, a multi-component system is proposed, organically combining advanced load balancing mechanisms with innovative methods of bypassing regional restrictions through specialized servers located in countries with open access. The developed solution includes comprehensive components for monitoring, control, and multi-level security assurance. The study conducts a comprehensive comparative analysis of existing market analogues, identifies their significant limitations in the context of solving the problem of geopolitical accessibility, and presents a convincing justification for the need to develop a qualitatively new solution. The technical implementation of key system components is described in detail, utilizing modern technologies and approaches to developing enterprise-grade fault-tolerant software. The obtained research results demonstrate the high effectiveness of the proposed solution in ensuring stable access to AI services and optimizing their use in organizations of various scales, regardless of their geographical location and current geopolitical situation.
Keywords:Keywords: API management, middleware, artificial intelligence, enterprise security, scalability, geopolitical restrictions, centralized management, load balancing, cost optimization, fault tolerance, proxy server, API security, LLM services, API access management, OpenAI API, Claude API.
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