schema_version: "1.0"

module:
  name: cornucopia
  version: "0.1.0"
  display_name: "CORNUCOPIA — Large-Scale Synthetic Data for VLA Pre-Training"
  description: "Scalable synthetic data generation pipeline for vision-language-action model pre-training"
  category: training.distillation
  license: Apache-2.0
  paper: "Large-Scale Synthetic Data for VLA Pre-Training"

capabilities:
  provides:
    - type: data_generation
      subtype: synthetic_vla
    - type: augmentation
      subtype: large_scale

interface:
  inputs:
    - name: config
      ros2_type: std_msgs/msg/String
  outputs:
    - name: dataset_manifest
      ros2_type: std_msgs/msg/String

hardware:
  platforms:
    - name: linux_x86
      backends: [onnxruntime_cuda, onnxruntime_cpu]

performance:
  profiles:
    - platform: linux_x86
      model: cornucopia-base
      backend: onnxruntime_cuda
      fps: 5
      latency_p50_ms: 200

safety:
  failure_mode: returns_empty
  timeout_ms: 60000
  health_topic: /anima/cornucopia/health

composability:
  pairs_well_with:
    - manipulation.vla
    - simulation.generation
  conflicts_with: []

container:
  image: ghcr.io/robotflow-labs/anima-cornucopia:0.1.0
  port: 8085