Unified gateway, multi-model Token service
Token service platform for enterprises and developers. Unified API aggregating leading LLMs with smart routing for optimal cost-efficiency.
Unified Interface, Multi-model
Integrate once, call any leading LLM on demand — no per-provider integration needed
Smart Routing, Optimal Cost
Automatically matches the best model and instance based on request semantics, latency, and cost constraints
Token-as-a-Service
Precise per-token metering with multi-project and multi-team cost allocation
Enterprise Security
Built-in content moderation, data masking, and access control for compliance
SilvaMux is TINGYU's Token service and inference API aggregation platform. Through a unified OpenAI-compatible interface, enterprises integrate once and call multiple LLMs on demand. The built-in smart routing engine matches the optimal model and instance per request, with token metering, cost allocation, and content security — making AI compute as accessible as a utility.
OpenAI-compatible Protocol
Supports Chat Completions, Embeddings, Function Calling — no SDK changes needed
Multi-model Routing Engine
Connects to leading LLM providers, intelligently dispatching to balance performance and cost
Content Safety
Bidirectional request/response moderation with custom policies
Usage & Billing
Real-time token analytics with granular per-project usage management
How It Works
API Request
Client sends inference request via OpenAI-compatible protocol
Safety Check
Request passes through content moderation and permission validation
Smart Routing
Engine selects optimal model instance by capability, load, and cost
Inference
Request dispatched to compute cluster for execution
Response
Result moderated, returned, and metered
AIGC Developers · Enterprise AI · SaaS Platforms
AIGC Applications
Stable inference API backbone for content generation and chat assistants
Enterprise AI
Knowledge Q&A, document summarization, code assistance, workflow automation
SaaS Platforms
AI capability backbone for SaaS products with usage-based elastic scaling