Configure unified AI model routing, provider failover, and cost tracking.
npx skills add https://github.com/NagyVikt/codex-plugins --skill ai-gateway-nagyvikt
Please help me install this Agent Skill. Skill: ai-gateway Source: https://github.com/NagyVikt/codex-plugins/tree/main/plugins/vercel/skills/ai-gateway Command: npx skills add https://github.com/NagyVikt/codex-plugins --skill ai-gateway-nagyvikt
This Skill solves the complexity of managing multiple AI providers by providing a single, unified API endpoint that handles model routing, provider failover, and cost attribution.
Use the ai-gateway skill to configure a model routing chain that prioritizes openai/gpt-5.4 and falls back to anthropic/claude-sonnet-4.6 for a specific user.
High-intent search queries and answers about installing and using this skill.
LLM provider failover automatically reroutes traffic from an unavailable model to a backup, ensuring high availability. You configure a routing chain that prioritizes a primary provider and falls back to another for specific users.
Tracking AI token costs per user requires attributing token usage to specific features using tags. This enables granular budget management and prevents overruns by monitoring consumption per customer.
Vercel AI Gateway supports OIDC-based authentication for production traffic. It provides a unified API endpoint handling model routing, response caching, and audit logging across multiple LLM providers.
Unified AI model routing handles rate limits by automatically switching between configured providers like OpenAI, Anthropic, and Google. If one provider rate-limits requests, the gateway reroutes traffic to an available fallback model.
Per-user rate limiting is required for high availability LLM routing in production-grade applications. It works alongside provider failover and cost tracking to ensure stable performance and prevent budget overruns across users.
Extremez-SuryaManage AI model routing, provider failover, cost tracking, and authentication for Vercel AI Gateway.
riftzen-bitRoute LLM API calls by task complexity with budget tracking and retries.
unju-aiRoute LLM tasks to cost-effective models while tracking budgets and caching prompts.
remiconnessonRoute AI model calls across providers with failover and cost tracking.
