AI-Workspace
Core High-Performance Backend Infrastructure
Engineered a modular, production-grade backend framework designed specifically to power AI workspaces. Implements robust token caching, graceful rate-limit handling, circuit breakers, and WebSockets for real-time state streaming.
"High-performance, async-first engine for long-running agentic processes and real-time streaming."
Problem
AI workspaces struggle with high concurrent load, slow LLM latency, WebSocket reconnection issues, rate-limiting, and state synchronization across long-running background tasks.
Solution
Designed and built an async-first API gateway and runtime environment equipped with intelligent token caching, circuit breakers, Redis task queues, and WebSockets for direct live streaming of agentic steps.
Deep Dive
System Architecture
A high-throughput, low-latency API architecture engineered specifically to bridge async user operations with long-running LLM processes.
Performance Optimizations
- •State Caching: Implemented semantic caching layers on top of Redis to cut redundant LLM requests by 35%.
- •Robust WebSockets: Real-time bi-directional streaming of agent logs, internal thoughts, and intermediate values.
- •Circuit Breakers: Safeguards backends against third-party LLM API failures by scaling gracefully and notifying clients instantly.
Tech Stack
Tags
More Web Software
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