One endpoint for every model.
NEXUS AI Gateway gives teams one OpenAI-compatible endpoint for model routing, failover, caching, budgets, provider keys, MCP, and usage analytics.
Production AI infrastructure
Route AI requests through a fast, resource-efficient gateway that saves money, keeps provider keys private, and gives teams control over reliability and spend.
One compatible endpoint
NEXUS AI Gateway accepts OpenAI-compatible requests at /v1 and Anthropic-compatible requests at /v1/messages, so official SDKs work without a rewrite.
Routing, caching, and failover
Use virtual model aliases, provider fallbacks, retries, circuit breakers, response caching, and prompt compression to improve reliability and reduce cost.
Budgets, observability, and security
Set request, token, spend, and concurrency limits by key, user, team, model, or path. Track usage and estimated costs, keep provider keys behind one secure endpoint, and audit every request.
MCP gateway included
Aggregate MCP servers behind one authenticated endpoint with namespaced tools, scoped visibility, rate limits, and usage tracking.
Open source and extensible
Run the gateway locally, in Docker, or in your own infrastructure. Configure it with environment variables or config.yaml and extend it with plugins and workflows.
App plus database plus worker
A typical NEXUS AI deployment can run a web app, a PostgreSQL database, a Redis queue, and a background worker as one connected service group. The app and worker share the same deployment network, so application code can use internal hostnames such as postgresql and redis instead of hard-coded host ports or external database addresses.
Storage and recovery included
Production apps usually need more than compute. NEXUS AI supports persistent filesystem volumes for apps that write to paths such as /data, S3-compatible buckets for uploads and generated files, database backups, in-place restore, and restore into another compatible service in the same organization.
One workflow across interfaces
The same stack can be managed from the dashboard, CLI, REST API, or MCP tools. Developers can deploy from GitHub, add database services, attach storage, run workers, scale replicas, inspect logs, create backups, and recover data without switching between cloud consoles and hand-built scripts.
About NEXUS AI
NEXUS AI is an agentic AI app builder and full-stack deployment platform. Explore the AI App Builder, learn more on the About page, read the documentation, or contact the team through nexusai.run/contact.
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