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FastGPT Pro icon

FastGPT Pro

FastGPT Pro is the commercial FastGPT stack for Sealos, adding the FastGPT Pro service alongside RAG retrieval, workflow orchestration, MCP access, and plugin extensibility.

Launch in your Sealos workspace.

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FastGPT Pro template preview
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Template deployments
52 on Sealos
Deployment
Your own instance
Category
AI

About this template

Overview

This template updates FastGPT to the topology used by the upstream deploy/docker/cn/docker-compose.pg.yml release line and maps it onto Sealos-native resources.

From the documentation

It deploys:

How to deploy FastGPT Pro

  1. Choose Deploy now to start FastGPT Pro in your Sealos workspace.
  2. Review root_password, agent_sandbox_baseurl, agent_sandbox_token in the deployment form.
  3. Launch the template, then inspect the application status and resource cards in Canvas.

Resources to plan for

Start with the resources defined by the FastGPT Pro 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 setup

Access after deployment

Use 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.

Hosting and billing

Sealos monthly plans include compute, memory, storage, and traffic. Size your plan for all deployed services. Software licenses and external AI or API services may have separate terms and charges. Confirm the applicable plan and optional charges in Cost Center.

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For current cloud charges, refer to Sealos plan pricing. Upstream documentation may reference earlier billing models.

FastGPT

This template updates FastGPT to the topology used by the upstream deploy/docker/cn/docker-compose.pg.yml release line and maps it onto Sealos-native resources.

It deploys:

  • FastGPT main app
  • FastGPT Plugin
  • FastGPT Code Sandbox
  • FastGPT MCP Server
  • AIProxy
  • MongoDB
  • PostgreSQL for FastGPT vector storage
  • PostgreSQL for AIProxy
  • Redis
  • Sealos object storage buckets for public and private assets

Notes

  1. Wait a few minutes after deployment so the database clusters and the AIProxy database init job can finish.
  2. Sign in with username root and the root_password you entered at deploy time.
  3. AI models still need to be configured after deployment. AIProxy is deployed internally and is consumed through FastGPT's built-in integration.
  4. The MCP public address is preconfigured in config.json.
  5. Agent sandbox integration is disabled by default because the upstream Docker topology depends on Docker-socket-based services. If you already have a hosted sandbox service, fill agent_sandbox_baseurl and agent_sandbox_token during deployment.
  6. The ingress annotations follow the shared Sealos template defaults. If you need uploads larger than 32 MB, change the ingress nginx.ingress.kubernetes.io/proxy-body-size after deployment.

Storage

This template uses Sealos object storage instead of the upstream embedded MinIO service. Public and private buckets are provisioned automatically and wired into FastGPT and FastGPT Plugin.

Databases

The FastGPT PostgreSQL database runs on Sealos Database and is intended for the pgvector-backed FastGPT deployment path represented by the upstream compose file.

From launch to everyday operations

Why deploy
on Sealos

A shorter path from an app you want to an app you can run. Sealos brings deployment and ongoing operations into one place.

  1. One-click deployment

    Start with a ready-made template. Review its configuration and launch from the Sealos console.

  2. Managed Kubernetes

    Run on managed infrastructure with built-in workload scheduling and recovery.

  3. Automatic HTTPS

    Give your application a public HTTPS endpoint with certificates managed for you.

  4. Persistent storage

    Keep application data on persistent volumes across container restarts.

  5. Room to grow

    Adjust CPU, memory, and replicas from the console as your workload changes.

One template. Connected resources.

You Get the Whole Stack

Sealos provisions the resources defined by your template and brings them together in your workspace.

  • App Service

    Container workloads with configurable CPU, memory, and replicas.

  • Public HTTPS URL

    An address for your app, with managed TLS certificates.

  • Database

    A database provisioned alongside your app when the template calls for one.

  • Persistent Volume

    Storage for the files and data your application needs to keep.

  • Environment Variables

    Application settings and secrets configured in one place.

  • Logs & Metrics

    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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