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Plugin Development

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Tips

When developing or reviewing plugins, have AI use the plugin reference in fba skills. It covers plugin.toml validation, depends_on, hot-plugging config, hooks, SQL scripts, and README conventions.

Info

The official repository includes several built-in plugins under backend/plugin. Reading this document alongside the official repository works best.

Backend

  1. Pull the latest fba project locally and set up the development environment
  2. Learn how the plugin system works via Plugin Types, Plugin Routing, and Database Compatibility
  3. Develop the plugin according to Plugin Directory Structure
  4. Complete adaptation via Plugin Configuration, Hot-Plugging, and Hook Functions
  5. Share the plugin optional

Plugin Types

Application-level plugins

In Project Structure, first-level folders under the app directory are treated as applications. The same principle applies to the plugin system.

Such plugins are injected into the system like applications. We call them application-level plugins.

Plugin Routing

If an application-level or extension-level plugin meets plugin development requirements, its routes are automatically injected into the FastAPI application. Note that startup time may increase as more plugins are added, because fba parses all plugins in real time before each start.

Application-level plugins

Fully follow Route Structure for development, and expose the APIRouter instance declared by [app].router in api/router.py.

Database Compatibility

fba built-in plugins support both MySQL and PostgreSQL. Application-level and extension-level plugins must declare supported databases in [plugin].database in plugin.toml. Capability plugins without models or SQL may omit [plugin].database. To support multiple databases, see the SQLAlchemy 2.0 docs: TypeDecorator, with_variant.

If a plugin includes a model directory, it must declare [plugin].database and provide complete init and destroy SQL for at least one database, including init.sql, destroy.sql, init_snowflake.sql, and destroy_snowflake.sql. Databases declared in [plugin].database should match the SQL scripts actually provided.

Plugin Directory Structure

Plugins live under backend/plugin. The directory structure is as follows.

The plugin name is also a Python package name. Prefer lowercase letters, digits, and underscores only, and keep it consistent with the plugin directory and repository name.

xxx# Plugin name required

api# APIs required for app-level and extension-level

crud# CRUD

model# Models

__init__.py# Import all model classes here required if directory exists

…

schema# Data transfer

service# Services

sql# Recommended if the plugin has models or needs SQL

mysql

destroy.sql# Auto-increment id destroy (auto-run on uninstall)

destroy_snowflake.sql# Snowflake id destroy

init.sql# Auto-increment id init (auto-run on install)

init_snowflake.sql# Snowflake id init

postgresql

...# Same file names as mysql

utils# Utilities

.env.example# Environment variables

__init__.py# Required as a Python package required

…# More content, e.g. enums.py...

hooks.py# Hook functions

plugin.toml# Plugin config file required

README.md# Usage instructions and your contact info required

requirements.txt# Dependency file

Plugin Configuration

plugin.toml is the plugin configuration file. Every plugin must include it.

The plugin system determines plugin level from plugin.toml structure: top-level [api] means extension-level; [app].router means application-level; neither [app] nor [api] means capability plugin.

Application-level plugins
# Plugin info
[plugin]
# Icon (path inside the plugin repo or icon URL), optional
icon = 'assets/icon.svg'
# Summary (short description)
summary = ''
# Version, must be x.y.z format, e.g. 0.0.1
version = '0.0.1'
# Description
description = ''
# Author
author = ''
# Tags
# Currently supported: ai, mcp, agent, auth, storage, notification, task, payment, other
tags = ['']
# Database support
# Currently supported: mysql, postgresql
database = ['']
# Dependent plugins, optional, controls startup and injection order
depends_on = []

# Application config
[app]
# Final router instance
# See source: backend/app/admin/api/router.py, usually named v1 by default
router = ['v1']

# In-code settings (ALL CAPS)
# Optional; see: Hot-Plugging
[settings]
XXX = 'value'

Plugin Dependencies

If a plugin depends on other plugins, declare their names in [plugin].depends_on:

[plugin]
depends_on = ['dict']

Dependency config affects route injection, hook registration, and startup order. A plugin cannot depend on itself, on non-existent plugins, or form circular dependencies.

Global Configuration

fba uses a single global config file (similar to Django). The standard practice is to add plugin global config in backend/core/conf.py, for example:

##################################################
# [ Plugin ] email
##################################################
# .env
EMAIL_USERNAME: str
EMAIL_PASSWORD: str

# Base config (in plugin.toml)
EMAIL_HOST: str
EMAIL_PORT: int
EMAIL_SSL: bool
EMAIL_CAPTCHA_REDIS_PREFIX: str
EMAIL_CAPTCHA_EXPIRE_SECONDS: int

The structure is: plugin config comment section, plugin env var config and comments, plugin base config and comments. In a published plugin we cannot modify the user's backend/core/conf.py directly — we can only document in the README how users should complete global plugin configuration.

Hot-Plugging

Starting from v1.13.0, configuring as follows automatically enables hot-plugging. See the official fba plugin: oss

  • Plugin environment variables

    If the plugin needs env vars, add a .env.example in the plugin root with variables that can be appended directly to backend/.env, for example:

    # [ Plugin ] email
EMAIL_USERNAME=''
EMAIL_PASSWORD=''

  • Plugin base configuration

    If the plugin needs base config, add it under settings in Plugin Configuration, for example:

    Warning

    Configuration in plugin.toml and backend/core/conf.py works very differently. Be careful not to mix them up.

    [settings]
EMAIL_HOST = 'smtp.qq.com'
EMAIL_PORT = 465
EMAIL_SSL = true
EMAIL_CAPTCHA_REDIS_PREFIX = 'fba:email:captcha'
EMAIL_CAPTCHA_EXPIRE_SECONDS = 180  # 3 minutes

  • Setting purpose documentation

    If plugin.toml has a non-empty [settings], the plugin README must add a “Settings” section after the existing configuration notes, explaining each item’s purpose in the same order as plugin.toml. Only describe what each setting controls or affects — do not repeat type, default, source, or configuration method.

    ## Settings

- `EMAIL_HOST`: Mail server host
- `EMAIL_PORT`: Mail server connection port
- `EMAIL_SSL`: Whether to use SSL for the mail connection
- `EMAIL_CAPTCHA_REDIS_PREFIX`: Redis key prefix for email captcha
- `EMAIL_CAPTCHA_EXPIRE_SECONDS`: Email captcha validity duration

After completing the above, if the plugin needs no further changes, installing via CLI, ZIP, or Git enables hot-plugging config loading. The installer appends .env.example to backend/.env, but you still need to replace placeholder values per the plugin README.

Global configuration priority

settings_customise_sources() only covers the static chain “system env vars → .env → plugin settings → conf.py defaults”. Dynamic config is an on-demand override layer during business runtime and is not a Pydantic Settings source.

Plugins should use dynamic config only when admin-side runtime adjustment is truly needed. Dynamically overridable fields must declare type conversion maps in the load function and complete loading before reading fields. Full standards: Configuration.

Tips

We still recommend adding Global Configuration during development and documenting it in the published plugin README. This step is necessary if both plugin authors and users should get IDE type hints for config items.

Hook Functions

Starting from v1.13.3, plugins support hook functions for more flexible configuration and less manual adaptation. We also provide helpers in backend/plugin/patching.py, such as replace_middleware in setup for swapping middleware.

Hook functions must be defined in hooks.py at the plugin root. They apply only to enabled plugins and run according to Plugin Dependencies resolution. Currently supported:

lifespan

Lifespan function. Signature matches FastAPI lifespan: receives the FastAPI app instance and is registered automatically before app startup.

setup

Startup function. Receives the FastAPI app instance, supports sync and async, runs automatically before app startup.

otel

OpenTelemetry initialization function. Receives the FastAPI app instance, supports sync and async, runs automatically during observability initialization.

Frontend

  1. Pull the latest fba frontend project locally and set up the development environment
  2. Develop the plugin according to Plugin Directory Structure
  3. Finish plugin development
  4. Share the plugin optional

Plugin Directory Structure

Plugins live under apps/web-antdv-next/src/plugins. The directory structure is as follows.

xxx# Plugin name

api# APIs

index.ts

langs# i18n

en-US

plugin-name.json

zh-CN

plugin-name.json

public

images# Page preview images

routes# Routes

index.ts

views# Views

index.vue

…

…# More content

plugin.toml# Plugin config file required

Plugin Configuration

plugin.toml is the plugin configuration file. Every plugin must include it.

# Plugin info
[plugin]
# Icon (path inside the plugin repo or icon URL), optional
icon = 'assets/icon.svg'
# Summary (short description)
summary = ''
# Version, must be x.y.z format, e.g. 0.0.1
version = '0.0.1'
# Description
description = ''
# Author
author = ''
# Tags
# Currently supported: ai, mcp, agent, auth, storage, notification, task, payment, other
tags = ['']

Notes

Caution

Unless necessary, avoid referencing existing architecture methods in plugin code. If those methods change, the plugin must change too — otherwise the plugin will break.

Tips

If you plan to share the plugin publicly or submit it to the marketplace, also read the pre-publish checklist and maintenance responsibility notes in Sharing Plugins.