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Backend Developmentdvcrn

edge-router

Route AI agent compute tasks to the cheapest viable backend. Supports local inference (Ollama), cloud GPU (Vast.ai), and quantum hardware (Wukong 72Q). Use when an agent needs to decide where to run a task, optimize compute costs, check backend availability, or execute workloads across edge/cloud/quantum infrastructure.

Stars
15
Source
dvcrn/openclaw-skills-marketplace
Updated
2026-05-29
Slug
dvcrn--openclaw-skills-marketplace--edge-router
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/dvcrn/openclaw-skills-marketplace/HEAD/plugins/adjusternwachukwu-bot--edge-router/skills/edge-router/SKILL.md -o .claude/skills/edge-router.md

Drops the SKILL.md into .claude/skills/edge-router.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Edge Router

Routes tasks to cheapest available backend: local (free) → cloud GPU ($0.01) → quantum ($0.10).

API

Base: https://edge-router.gpupulse.dev/api/v1 (or localhost:3825)

Route (recommend)

curl -X POST "$BASE/route" -H "Content-Type: application/json" \
  -d '{"task_type": "inference"}'

Execute (route + run)

curl -X POST "$BASE/execute" -H "Content-Type: application/json" \
  -d '{"task_type": "inference", "payload": {"model": "llama3.2:1b", "prompt": "hello"}}'

Task Types

  • inference → local first, cloud fallback
  • training → cloud GPU
  • quantum → Wukong 72Q
  • auto → cheapest available

Other

  • GET /backends — list + status
  • GET /stats — routing statistics
  • GET /health — health check