Model Proxy

Control AI model configs across clients and providers

2 followers

Control AI model configs across clients and providers

2 followers

Model Proxy is a configuration and validation console for multi-provider AI setups. Generate client configs for Claude Code, Codex, OpenAI SDK, and Anthropic SDK; configure provider profiles, model aliases, and fallback candidates; and simulate routing and budget outcomes. By default, telemetry retains only metrics, not prompt or response bodies.

Launch tags:Artificial Intelligence

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

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Hunter

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Hey Product Hunt! I built Model Proxy after repeatedly seeing multi-provider AI setups split across client configs, aliases, fallback rules, and budget spreadsheets. This first release focuses on making those decisions visible before real traffic: generate configs for Claude Code, Codex, and popular SDKs; configure providers, aliases, and fallbacks; then simulate routing and budget outcomes. Privacy is deliberate: the default analytics model retains metrics only, not prompt or response bodies. If you work across several providers, I’d love to know: what’s the hardest part of keeping client configuration, routing, and cost control consistent?

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2mo ago

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