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AI 翻译系统

一款专为私有客户部署而开发的专有 AI 翻译系统，通过双令牌架构实现内容保存革命，消除令牌损坏问题。基于基准驱动开发，它实现了99% 质量得分，同时在目标以下保留94% 性能余量。系统具有多供应商弹性、自动故障转移和零停机更新功能，非常适合需要绝对可靠性和安全性的保密、关键任务翻译工作流.

2025•AI 创新•Completed

关键特性

  • ✓Dual-Token System: "Separates internal processing tokens from AI communication, eliminating format conflicts
  • ✓Benchmark-Driven Optimization: "Automatic quality scoring and configuration generation from real translation tests
  • ✓Stateless Preservation: Storage-based term preservation with runtime injection for consistency
  • ✓Localization Intelligence: "Detects 15+ categories of non-translatable content, reducing API calls by 30%
  • ✓Enterprise Multi-Tenancy: 'Namespace isolation with separate storage, corrections, and rate limits'

影响

- **99% Translation Quality**: Benchmark-proven quality scores through automated prompt optimization - **100% Token Corruption Elimination**: Revolutionary PipelineV2 dual-token system completely prevents LLM placeholder corruption - **94% Performance Headroom**: Consistently executes 94% faster than performance targets (133ms for 100 segments vs 2000ms target) - **$0.05/1M Token Cost**: 50% cost reduction through intelligent provider routing and model selection - **Zero-Downtime Production**: Auto-update system applies patches without service interruption

技术栈

核心栈

TypeScriptBunNode.jsDockerAI/LLMRedis
  • **TypeScript & Bun**: Type-safe development with Bun's high-performance runtime for 10x faster testing
  • **Node.js Production Runtime**: Battle-tested deployment with Docker containerization
  • **Multi-Provider AI Integration**: Groq (primary), OpenRouter, Cerebras, and Qwen/Alibaba with automatic failover
  • **PipelineV2 Dual-Token Architecture**: Internal `%%TYPE_N%%` tokens with AI-friendly `__N__` conversion
  • **Redis-Backed Rate Limiting**: Dual-tier limits (600 req/min, 5M tokens/min) per namespace
  • **Benchmark-Driven Configuration**: Hash-based caching system auto-generates optimal engine settings

标签

AI翻译双令牌基准驱动多供应商零停机多租户速率限制99%-质量PipelineV2Groq企业Docker