Route AI model calls across providers with failover and cost tracking.
npx skills add https://github.com/esneiderbravo/hackaton --skill ai-gateway-esneiderbravo
Please help me install this Agent Skill. Skill: ai-gateway Source: https://github.com/esneiderbravo/hackaton/tree/main/.github/skills/ai-gateway Command: npx skills add https://github.com/esneiderbravo/hackaton --skill ai-gateway-esneiderbravo
Unifies AI model routing, failover, and cost tracking across multiple providers behind a single API, simplifying governance and observability.
Configure a route by providing a provider/model string and enabling gateway options such as order and tags.
High-intent search queries and answers about installing and using this skill.
You can route requests to multiple AI providers by using a provider/model string through a unified AI gateway. This simplifies integration by managing all model calls behind a single API endpoint.
The best way to track per-user AI model costs is by using an AI gateway with per-user tagging. This allows you to attribute usage accurately and enforce per-user rate limits and budgets across your teams.
Automatic failover for AI model routing works by automatically switching providers when a failure occurs. The gateway detects the issue and reroutes the model call to another available provider to ensure continuity.
Yes, you can use OIDC for authentication when routing model calls through an AI gateway. It provides secure access control and supports per-user telemetry and auditing in multi-tenant environments.
You can set up audit logs for AI model usage by routing traffic through an AI gateway that supports per-user telemetry. This captures detailed usage data, enabling auditing and governance across product teams.
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