Project Request: AI Model Gateway

[SSC-STUDIO]

Project Information - Project name: AI Model Gateway - Github URL: https://github.com/SSC-STUDIO/Ai-Model-Gateway - Homepage URL: https://ssc-studio.github.io/Ai-Model-Gateway/ - Logo URL: https://raw.githubusercontent.com/SSC-STUDIO/Ai-Model-Gateway/main/docs/assets/social-card.png ## Category - Inference - [ ] Inference Engine - [ ] Inference Platform - [ ] Middleware - [x] LLM Router - [ ] AI Gateway - [ ] Output - [ ] Simulator - [ ] Benchmark - Orchestration - [ ] Application Framework - [ ] Agent Framework - [ ] Evolutionary Framework - [ ] RAG - [ ] Workflow - Runtime - [ ] AI Terminal - [ ] AI Agent - [ ] Chatbot - [ ] Code Agent - [ ] Database - [ ] Evolve Agent - [ ] Observation - [ ] Sandbox - [ ] Tool - Training - [ ] Framework - [ ] FineTune - [ ] RLHF - [ ] Agentic RL - [ ] Benchmark - [ ] Workflow ## Notes AI Model Gateway is a self-hosted LLM operations gateway focused on OpenAI-compatible routing, provider fallback, rate limiting, telemetry, benchmarking, config publishing, diagnostics, updates, and rollback. Useful project links: - 15-minute evaluation path: https://github.com/SSC-STUDIO/Ai-Model-Gateway/blob/main/docs/evaluate-in-15-minutes.md - Provider fallback demo: https://github.com/SSC-STUDIO/Ai-Model-Gateway/tree/main/examples/provider-fallback - Documentation index: https://github.com/SSC-STUDIO/Ai-Model-Gateway/tree/main/docs

Reviewer evidence

• Quality evidence: https://github.com/SSC-STUDIO/Ai-Model-Gateway/blob/main/docs/quality-evidence.md
• CI workflow: https://github.com/SSC-STUDIO/Ai-Model-Gateway/actions/workflows/ci.yml
• The repository is early by public adoption signals, so the quality evidence page lists the current CI gates, local reproduction commands, runtime smoke checks, feature proof points, and capability boundaries for maintainers to review without broad compatibility claims.

Adoption checklist evidence

• Adoption checklist: https://ssc-studio.github.io/Ai-Model-Gateway/llm-gateway-adoption-checklist.html
• Covers fit, install paths, client compatibility, provider fallback, config publish, rollback, quality evidence, and security for maintainers who want a short evaluation path.