# Development mode worker configuration
# Relaxed validation for fast iteration
host: localhost
port: 22
user: dev-user
base_path: /tmp/fetchml_dev
entrypoint: train.py

# Redis configuration
redis_url: redis://redis:6379

# Development mode - relaxed security
compliance_mode: dev
max_workers: 4

# Worker mode - must be "distributed" to use scheduler
mode: distributed

# Sandbox settings (relaxed for development)
sandbox:
  network_mode: bridge
  seccomp_profile: ""
  no_new_privileges: false
  allowed_secrets: []  # All secrets allowed in dev

# GPU configuration
gpu_vendor: none

# Artifact handling (relaxed limits)
max_artifact_files: 10000
max_artifact_total_bytes: 1073741824  # 1GB

# Provenance (disabled in dev for speed)
provenance_best_effort: false

# Plugin Configuration (development mode)
plugins:
  # Jupyter Notebook/Lab Service
  jupyter:
    enabled: true
    image: "quay.io/jupyter/base-notebook:latest"
    default_port: 8888
    mode: "lab"
    security:
      trusted_channels:
        - "conda-forge"
        - "defaults"
      blocked_packages: []  # No restrictions in dev
      require_password: false  # No password for dev
    max_gpu_per_instance: 1
    max_memory_per_instance: "4Gi"
  
  # vLLM Inference Service
  vllm:
    enabled: true
    image: "vllm/vllm-openai:latest"
    default_port: 8000
    model_cache: "/tmp/models"  # Temp location for dev
    default_quantization: ""  # No quantization for dev
    max_gpu_per_instance: 1
    max_model_len: 2048