Advanced Architecture

When transitioning an AI agent from prototyping to a high-throughput production environment, security layers must be evaluated against strict system constraints. Deconvolute is built to operate securely at scale without becoming a bottleneck.

This section provides technical references for engineers deploying Deconvolute in production. It covers how the SDK manages resources, handles concurrency, and responds to infrastructure failures.

Topics Covered

• Performance Characteristics: Details the specific latency, memory footprint, and CPU compute costs of the firewall and content scanners.
• Asynchronous Execution: Explains how the SDK integrates with Python's asyncio and offloads CPU-bound deterministic checks to thread pools to prevent blocking the event loop.
• Error Handling Philosophy: Defines the architectural boundaries between successful security detections (returning a failed result) and infrastructure anomalies (raising exceptions to fail closed).