shared-vlm-routing
CommunityFail-safe VLM routing for accurate extractions.
AuthorAKCqhzdy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
VLM provider routing with automatic failover across Gemini 3.1 Pro, Kimi K2.5, and ALIYUN to ensure reliable, cost-aware access to OpenAI-compatible models within grading pipelines.
Core Features & Use Cases
- Multi-provider routing with sequential fallbacks and logging of provider switches to surface usage distribution.
- OpenAI-compatible client usage via Vertex AI endpoint; supports parallel or sequential calls as needed to avoid rate limits.
- Integrated with grading workflows (grading-paper-extraction, grading-answer-extraction) and any future VLM-using skills.
Quick Start
Configure your VLM task to use Gemini as the primary provider and allow automatic fallback to Kimi and ALIYUN on failure.
Dependency Matrix
Required Modules
openaigoogle-auth
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: shared-vlm-routing Download link: https://github.com/AKCqhzdy/dse-subject-grading/archive/main.zip#shared-vlm-routing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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