LLM Proxy & Governance

All AI interactions pass through the LLM Proxy, which sits in front of the Shared LLM Hosting. This is the keystone that ensures “Governance” and “Visibility” for enterprise AI adoption.

Routing & Optimization

• Model Routing: Routes requests to the appropriate backend model (GPT-4, Claude 3, Llama 3, etc.) based on project configuration. No code changes required.
• Load Balancing: Monitors the load on the shared GPU cluster and distributes requests to available instances.

Security & Privacy

PII Masking

Before prompts are sent to external models, sensitive information such as phone numbers, email addresses, and credit card numbers is automatically detected and replaced with placeholders like [REDACTED].

Audit Trail

“Who sent what prompt, when, and how did the AI respond?” All conversation logs are preserved for future auditing (Content storage can be disabled via configuration).

Cost Control

• Rate Limiting: Limits token usage per user or project to prevent unexpected cost overruns.
• Budget Alerts: Sends alerts to administrators when usage approaches defined budgets.