Service mesh company Tetrate announced the availability of the Tetrate Agent Router Service, a managed solution that makes it simpler for developers to direct AI queries and requests to AI agents to the most suitable model, based on their priorities, such as query and task complexity, inference costs and model performance or speciality. According to Tetrate, this kind of flexibility is exactly what developers need. The Agent Router Service acts like a centralized tool for controlling AI traffic. It allows them to work around the limitations of various large language models, avoid vendor lock-in and mitigate cost overruns. Tetrate AI Gateway is an open-source project that helps organizations integrate generative AI models and services into their applications. Through its unified API, developers can manage requests to and from multiple AI services and LLMs. With the Tetrate Agent Router Service, developers are getting even more control. It allows them to access various AI models with their own API keys, or use keys provided by Tetrate. It also provides features such as an interactive prompt playground for testing and refining AI agents and generative AI applications, automatic fallback to more reliable and affordable models, plus A/B testing tools for evaluating model performance. It will coordinate API calls across multiple LLMs, delegating the tasks assigned by the user to the most appropriate one. In the case of AI chatbots, the Tetrate Agent Router Service will route the conversation to the most responsive and/or cost-effective model, based on the developer’s priorities. This can help to reduce latency and manage high traffic more efficiently.