Synapse Plugin config.yaml Guide

The config.yaml file (or synapse.yaml) defines your plugin's metadata, actions, and runtime configuration.

Minimal Example

name: "My Plugin"
code: my-plugin
version: 1.0.0
category: custom

actions:
  train:
    entrypoint: plugin.train:TrainAction
    method: job
    description: "Train a model"

Complete Structure

# Basic metadata
name: "YOLOv8 Object Detection"
code: yolov8
version: 1.0.0
category: neural_net
description: "Train and run YOLOv8 models"
readme: README.md

# Package management
package_manager: pip  # or 'uv'
package_manager_options: []
wheels_dir: wheels

# Environment variables
env:
  DEBUG: "false"
  BATCH_SIZE: "32"

# Runtime environment (Ray)
runtime_env: {}

# Data type configuration
data_type: image
tasks:
  - image.object_detection
  - image.segmentation

# Actions
actions:
  train:
    entrypoint: plugin.train:TrainAction
    method: job
    description: "Train YOLO model"
  inference:
    entrypoint: plugin.inference:run
    method: task
    description: "Run inference"

Action Configuration

Field	Required	Description
entrypoint	Yes	Module path (module.path:ClassName or module.path.function)
method	No	Execution method: job, task, or serve (default: task)
description	No	Human-readable description

Config Sync (Recommended)

Sync entrypoints, input/output types, and hyperparameters from code:

synapse plugin update-config

Execution Methods

Method	Use Case	Characteristics
job	Training, batch processing	Async, isolated, long-running (100s+)
task	Interactive operations	Sync, fast startup (<1s), serial per actor
serve	Model serving, inference	REST API endpoint, auto-scaling

Entrypoint Formats

Both formats are supported:

• Colon notation: plugin.train:TrainAction
• Dot notation: plugin.train.TrainAction

Additional Resources

For detailed configuration options:

• references/fields.md - All config.yaml fields
• references/smart-tool.md - Smart tool configuration