How to Build a Production AI Chatbot in Python (FastAPI + SSE Streaming)
Building a toy terminal chatbot is trivial. Engineering a scalable, production-grade conversational streaming backend capable of handling thousands of concurrent sessions with Redis state persistence requires precise architectural decisions.
AM LABArchitectural Sizing: SSE vs WebSockets
Server-Sent Events operate cleanly over standard HTTP/2 infrastructure, avoiding stateful bidirectional connection overhead and corporate proxy blockage inherent in WebSockets.
Asynchronous FastAPI SSE Token Generator
Review this battle-tested Python FastAPI streaming server implementation supporting graceful connection drop handling and Nginx buffer bypass.
Sliding Window Memory Persistence via Redis
Implement sliding-window dialogue buffers with automatic 24-hour TTL expiration, token counting safeguards, and recursive context summarization.
Silicon Telemetry & Production Verification
vllm serve how-to-build-ai-chatbot-python --tensor-parallel-size 4 --gpu-memory-utilization 0.95 --max-model-len 32768 --kv-cache-dtype fp8
Artur Moiseyev
AI Systems Architect
Independent AI Researcher and Distributed Systems Architect. Building autonomous multi-agent workflows, open reasoning models, and real-time inference infrastructure.
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