Open-source AI model gateway compatible with the OpenAI API, with multi-provider routing, quota management, channel orchestration, and an admin dashboard.
Launch in your Sealos workspace.
Start with the resources defined by the New API template. Review CPU, memory, persistent storage, and network allocations for every service in Canvas. Capacity needs depend on your data and workload; monitor usage as they grow.
Template configuration and setupUse the application URL or connection details shown in Canvas. Follow the deployment guide for first-time account setup or client configuration, and keep generated credentials available for that step.
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New API is a next-generation LLM gateway and AI asset management system that exposes a unified OpenAI-compatible API. This template deploys New API as a single persistent application backed by KubeBlocks-managed PostgreSQL and Redis on Sealos Cloud.
New API sits between your applications and upstream AI providers, giving you one endpoint for model routing, quota control, channel orchestration, and operational visibility. It helps teams standardize provider access while keeping user, token, and channel management in one web console.
This Sealos template provisions the application runtime together with PostgreSQL, Redis, persistent storage, HTTPS ingress, and the database bootstrap job. The result is a ready-to-run deployment that keeps application data and logs durable across restarts while exposing the service through a Sealos-managed public URL.
The Sealos template includes all required dependencies for running New API:
new-api databaseStatefulSet, Service, and Ingress/data and /app/logsArchitecture Components:
This template deploys the following services:
calciumion/new-api:v0.13.2): Serves the web UI and OpenAI-compatible API on port 3000new-api database idempotently, using the same small Sealos resource ladder as the application containerConfiguration:
SQL_DSN is composed from the KubeBlocks secret ${{ defaults.app_name }}-pg-conn-credential.REDIS_CONN_STRING is built from ${{ defaults.app_name }}-redis-redis-account-default and the internal Redis service DNS.SESSION_SECRET and CRYPTO_SECRET are generated by default so the deployment starts with stable runtime secrets./api/status, and persistent volumes are mounted at /data and /app/logs.200m CPU / 256Mi memory limits with 20m CPU / 25Mi memory requests. Each application PVC requests 103Mi, which passed live cold-start validation for the application data and log directories.License Information:
New API is licensed under the GNU Affero General Public License v3.0. The upstream project also notes that organizations with commercial licensing concerns can contact the maintainers directly.
Sealos is an AI-assisted Cloud Operating System built on Kubernetes, so you get Kubernetes-grade deployment primitives without maintaining the manifests and operational wiring yourself. For New API, that means the gateway, database, cache, storage, and public HTTPS entrypoint are delivered as one packaged template.
By deploying New API on Sealos, you get:
app_hostapp_namesession_secretcrypto_secrethttps://<app_host>.<SEALOS_CLOUD_DOMAIN>. On first launch, the setup wizard checks PostgreSQL, asks you to create the root administrator account, asks you to choose a usage mode, and then initializes the system. After setup, sign in at /login with the administrator username and password you created.After deployment, you can configure New API through:
| Parameter | Description | Default |
|---|---|---|
app_host | Public hostname prefix for the New API ingress | new-api-<random> |
app_name | Kubernetes resource name prefix for the deployment | new-api-<random> |
session_secret | Session secret used by New API | Random 32-character value |
crypto_secret | Encryption secret used for Redis-backed encrypted state | Random 32-character value |
session_secret stable if you reuse the same deployment state.crypto_secret stable if Redis-backed encrypted data is already in use.new-api PostgreSQL database only when it does not already exist.To scale New API on Sealos:
StatefulSet resource card.For stateful components, scale PostgreSQL and Redis separately through their own resource cards if your workload requires it. Keep the application replica count at 1 unless you have validated your own multi-replica strategy.
Issue: Setup or login behaves inconsistently after a redeploy
SESSION_SECRET changed after the initial deployment.Issue: Redis-backed encrypted data cannot be decrypted
CRYPTO_SECRET changed while encrypted data already exists in Redis.crypto_secret value before restarting the workload.Issue: The application starts but database initialization fails
${{ defaults.app_name }}-pg-init job status and the PostgreSQL cluster health in Canvas, then retry the application rollout if needed.This Sealos template is provided under the license policy of the Sealos templates repository. New API itself is licensed under the GNU Affero General Public License v3.0.
A shorter path from an app you want to an app you can run. Sealos brings deployment and ongoing operations into one place.
Start with a ready-made template. Review its configuration and launch from the Sealos console.
Run on managed infrastructure with built-in workload scheduling and recovery.
Give your application a public HTTPS endpoint with certificates managed for you.
Keep application data on persistent volumes across container restarts.
Adjust CPU, memory, and replicas from the console as your workload changes.
Sealos provisions the resources defined by your template and brings them together in your workspace.
Container workloads with configurable CPU, memory, and replicas.
An address for your app, with managed TLS certificates.
A database provisioned alongside your app when the template calls for one.
Storage for the files and data your application needs to keep.
Application settings and secrets configured in one place.
Inspect container logs and resource usage from the console.
Resources and their configuration vary by template. Review the deployment form for this app’s exact setup.
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