Private AI Context Plugin

Overview

A plugin that injects private, domain-specific context into LLM calls while preserving prompt-cache efficiency. Designed for teams that need grounded, verifiable answers without sending raw private data to prompt bodies on every turn.

Naive context injection destroys prompt-cache hits and inflates token cost. Teams needed grounded answers over private data without blowing up billing.

Designed a cache-aware prompt layout that keeps prefixes stable, fetches domain context selectively, and preserves verifiable grounding. Drop-in across Anthropic and OpenAI SDKs.

Key Highlights

• Prompt-cache-aware assembly for high cache-read ratios
• Selective retrieval from vector + structured stores
• Drop-in middleware across Anthropic/OpenAI/Vercel AI SDK