@ruvector/tiny-dancer
CommunityUltra-low-latency AI routing
Software Engineering#agent orchestration#circuit breaker#model selection#low latency#ai routing#fastgrnn
Authorricable
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for extremely fast and reliable routing decisions in AI agent orchestration, especially when sub-millisecond response times are critical.
Core Features & Use Cases
- Ultra-Low-Latency Routing: Achieves routing decisions in as little as 10 microseconds using FastGRNN.
- Intelligent Model Selection: Dynamically routes requests to the most appropriate AI model or service.
- Fault Tolerance: Incorporates circuit breaker patterns and uncertainty estimation to ensure robustness.
- Use Case: Building a real-time AI assistant that needs to instantly decide whether to use a code generation model, a chat model, or an analysis model based on the user's input embedding.
Quick Start
Install the tiny-dancer package and create a new TinyDancer instance to begin routing.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: @ruvector/tiny-dancer Download link: https://github.com/ricable/cli-skills-builder/archive/main.zip#ruvector-tiny-dancer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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