Tokencap, a tool for enforcing token budgets across AI agents in application code.

Tokencap addresses a critical operational and cost management challenge in AI agent development: the lack of granular, real-time token budget enforcement. Current provider caps are insufficient for dynamic, multi-agent applications, leading to unpredictable costs and performance issues. By enabling application-level control with configurable actions like model swapping or blocking, Tokencap offers developers essential tools for cost optimization and system stability. This product capitalizes on the growing need for robust governance and observability within AI systems, particularly as agentic architectures become more prevalent. It signifies a market demand for specialized tooling that provides fine-grained control over AI resource consumption, directly impacting operational efficiency and budget predictability.