LLMProxy: A Security-First Proxy Gateway for Large Language Models

LLMProxy is an open-source proxy tool centered on security, designed specifically for Large Language Model (LLM) API traffic. It provides enterprise-grade security features such as rate limiting, content filtering, access control, and audit logging. It addresses security risks associated with direct use of LLM APIs (e.g., key leakage, lack of unified access control, difficulty in compliance review), and is based on a zero-trust architecture. It is particularly suitable for industry scenarios with high requirements for data security and compliance, such as finance, healthcare, and government affairs.

With the rapid popularization of LLMs in enterprise applications, direct use of LLM APIs has many security risks: API key leakage risk, lack of unified access control, difficulty in implementing content compliance review, and inability to effectively monitor and audit model call behaviors. Traditional API gateways lack specialized capabilities for LLM-specific scenarios (such as prompt injection protection and sensitive information detection), so LLMProxy emerged as an open-source project.

1. Multi-level Rate Limiting: Supports multi-dimensional rate limiting based on user, IP, API key, etc., using token bucket/leaky bucket algorithms to prevent DoS attacks and quota overspending;
2. Content Security Filtering: Intercepts prompt injection, jailbreak attempts, and sensitive queries on the request side; detects PII and inappropriate content on the response side, with automatic interception/desensitization/alarm capabilities;
3. Access Control and Identity Authentication: Supports authentication methods such as API key, OAuth2.0, JWT, and provides RBAC (Role-Based Access Control) fine-grained permission management;
4. Comprehensive Audit and Monitoring: Records detailed logs of each call (exportable to SIEM), with a built-in monitoring dashboard displaying key metrics like QPS and error rate.

• Enterprise LLM Serviceization: Acts as a unified access layer to centrally manage model calls and implement security policies in one place;
• Multi-Tenant SaaS Platform: Enables tenant isolation (independent quotas, permissions, logs) and supports billing metering;
• Compliance-Sensitive Industries: Helps meet regulatory requirements such as GDPR and HIPAA, preventing sensitive information leakage.

LLMProxy adopts a modular architecture (traffic processing engine, policy engine, audit storage, monitoring interface) and is developed in Go language (high performance with low resource consumption). Deployment methods are flexible: supports Docker containerization, Kubernetes cluster deployment, and binary deployment. For high-availability scenarios, multi-instance load balancing can be configured.

LLMProxy fills the gap in LLM security infrastructure and provides enterprises with an out-of-the-box secure proxy solution. It is recommended that technical teams introduce similar proxy layers as early as possible, shifting security left to the architecture design phase. Data security and compliance are the cornerstones of enterprise trust in the AI era.