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High-Concurrency Inference Gateway (Zedacta)

A high-throughput, asynchronous backend API gateway built with FastAPI and optimized for low-latency vLLM token generation and microservice orchestration.

Architectural Overview

  • Asynchronous Execution Engine: Leveraging Python's asyncio and FastAPI to achieve a stable platform throughput of 100+ RPS under concurrent workloads.
  • Low-Latency Inference Pipeline: Integrated with vLLM's memory-optimized PagedAttention mechanics to minimize time-to-first-token (TTFT) and optimize GPU/CPU resource utilization.
  • The Gavel Protocol: A custom-engineered, real-time self-diagnostic platform audit system that continuously measures data and validation state-drift across Semantic, Contextual, and Relational dimensions.
  • Deterministic Validation DSL: Implemented a JSON-based Blueprint Domain Specific Language paired with a logic-gated junction engine to handle real-time parallel validations alongside high-throughput extraction layers.

Tech Stack

  • Core: Python, FastAPI, vLLM, Asyncio
  • Infrastructure & Storage: Docker, Redis (Caching/Rate-Limiting), PostgreSQL
  • Data Layer: Pydantic v2 (Validation), JSON Serialization Handlers

Performance Profiles

  • Throughput: 100+ Requests Per Second (RPS)
  • Concurrency: Processes 10,000 parallel workloads in under 3 minutes
  • Efficiency: Features a custom memory-metering engine tracking hardware consumption per record for strict multi-tenant resource budgeting.

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Deterministic enforcement and supervisory governance engine for enterprise AI systems to secure real-time policy endpoints and model alignment.

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