TokenFence

TokenFence provides granular cost management for applications interacting with large language providers, ensuring predictable spending on a per-workflow basis. Key features include: * Per-workflow spending limits * Automated model downgrading upon budget thresholds * Hard stop kill switch for runaway processes * Easy integration with major language providers like OpenAI and Anthropic * Local token monitoring with zero latency overhead This tool is designed to prevent unexpected overspending that can occur with recursive or poorly constrained language model interactions. By wrapping existing client code with just a few lines, users can enforce strict budget caps. When a defined percentage of the budget is utilized, the system can automatically switch to a more cost-effective model, such as downgrading from GPT-4o to GPT-4o-mini. For situations where a hard limit is essential, TokenFence offers a kill switch option. This feature immediately halts any processes once the budget is exhausted, preventing any further charges and gracefully handling errors. This local, client-side monitoring approach ensures that cost controls are applied before requests even leave your environment, providing robust financial protection without introducing any additional network latency. TokenFence is ideal for developers and engineering teams deploying agentic applications, running iterative experiments, or managing multiple user workflows where precise budget adherence is critical. It helps maintain financial predictability and operational safety for any project utilizing external language services.