A GPU package: the central die flanked by four stacks of high-bandwidth memory on a silicon interposer
Intelligent Systems

AI Agent Sandboxing & Inference Brokering

Direct proxy brokering with cryptographically signed tokens and hard dollar ceilings.

We build sandboxed execution environments for autonomous coding and operational agents. Workloads route through an in-app broker that strips root API keys, injects Ed25519-signed identity claims, and shuts off outbound model access with HTTP 429 when monthly dollar ceilings are reached.

Business value

Enables engineering teams to run autonomous background agents safely, with strict budget limits and zero root credential distribution.

Architecture & Implementation

  • In-app virtual broker that proxies chat completions and isolates master provider credentials
  • Native adapters for Anthropic Messages, OpenAI endpoints, and local vLLM/Ollama engines
  • Subagent execution gates with strict filesystem path-traversal protection and process isolation
  • Layered memory combining active working sets with Neo4j and Apache AGE knowledge graphs

Critical Problems Solved

  • Stops API key theft caused by prompt injections or sandbox escapes
  • Prevents unexpected cloud bills by terminating runaway recursive inference loops at exact budgets
  • Allows dynamic switching between cloud models and local offline servers during provider outages
Specifications
Model AdaptersAnthropic Messages, OpenAI API, DeepSeek, Ollama, vLLM
Spend EnforcementSub-millisecond token cost calculation with HTTP 429 backpressure
Sandbox IsolationPOSIX path-traversal guards, process containers & WebAssembly runners
Memory & StateThree-layer working memory with graph-indexed context retrieval

Deploy sovereign, high-assurance capabilities

Speak directly with Kushawaha Group architects regarding licensing, on-premise deployment, or collaborative development.