Tetrate, the company enabling safe, fast and profitable AI transformation, today announced the launch of the Tetrate Agent Router Service, a managed solution to improve reliability and reduce costs of Large Language Models (LLMs) at scale for developers building generative AI (GenAI) applications.
Tetrate Agent Router Service allows developers to route AI queries dynamically to the most appropriate model based on optimization factors such as inferencing cost, query complexity, model performance and/or task specificity. This helps avoid lock-in, work around model unreliability, and mitigate cost overruns. When deployed alongside Tetrate Agent Operations Director, Tetrate Agent Router Service enables centralized control of GenAI developer traffic — unlocking fast developer adoption while maintaining data governance and compliance standards.
“Enterprises are under pressure to adopt AI to improve customer experiences and operational agility, yet developers working in these industries face serious challenges in balancing innovation with risk and cost control,” said David Wang, head of product management at Tetrate. “Tetrate Agent Router Service embodies our commitment to helping these developers safely navigate the fast-growing GenAI landscape. By providing a trusted, flexible way to choose the right models in real time, we are helping customers avoid taking on the complexities of building scalable AI architectures.”
Built for Developers
Tetrate Agent Router Service is a managed service that reduces infrastructure overhead for developers and supports isolated tenancy and/or on-premises deployment. Developers can access models with their own API keys or use those provided by Tetrate. Additional features include automatic fallback to more reliable or cheaper models, an interactive prompt playground to test and refine GenAI applications quickly, and A/B testing to help developers evaluate which models perform better.
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