Problem solved

Organizations integrating LLMs often face unpredictable costs, lack of usage transparency, and risks of budget overruns without centralized control. GreyFox solves this by providing a self-hosted proxy that monitors and throttles token consumption across all applications and users, enabling fine-grained cost governance, preventing abuse, and optimizing API spend without locking into a vendor's management console.

Use cases

• Enforce token quotas per user, team, or application to prevent cost spikes.
• Monitor real-time token consumption across multiple LLM providers from a single dashboard.
• Implement rate limiting to ensure fair resource distribution during peak usage.
• Set budget alerts and automatic cutoffs when spending thresholds are reached.
• Route requests to the most cost-effective model based on current pricing or performance.

Audience

• Developers
• ML Engineers
• Data Scientists
• Enterprise

Pros

• Self-hosted and privacy-focused, keeping data on-premises
• Granular token control with customizable budgeting and rate limits
• Open source with community-driven development
• Supports multiple LLM providers for vendor independence
• Real-time analytics and usage dashboards

Cons

• Requires technical expertise to deploy, configure, and maintain
• Introduces additional network hop, potentially adding latency
• May have limited documentation or smaller community in early stages