Platemail Proxy
LLMOps & Prompt EngineeringThis transparent proxy strengthens prompts sent to large language models by applying nonce-based role markers, attention dilution, tag defanging, secret scanning, policy enforcement, rate limits, audit logging, cost controls, and observability hooks, while remaining compatible with OpenAI, Anthropic, and similar APIs without code changes or extra API calls. It helps prevent prompt injection, secret leakage, policy violations, and runaway usage, serving teams building LLM-powered applications that need stronger security, content controls, and operational visibility.
Platemail Proxy can be found in LLMOps & Prompt Engineering categories.
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