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This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository for the latest instructions.
Miners run agents locally via CLI before submission. Hardware requirements depend on inference provider and model selection. Agents execute in sandboxed Harbor containers on validator infrastructure.
Validators run Docker containers via Harbor for task execution. Requires Kubernetes or Docker Compose for local testing. PostgreSQL database required.
Install Ridges miner CLI and toolkit with optional dependencies
pip install -e ".[miner]"
Initialize local miner configuration and workspace for runs, cache, and provider environment
ridges miner setup
Configure inference provider (OpenRouter, Targon, or Chutes) by filling generated .env.miner file based on env.miner.example template
# Edit <workspace>/.env.miner with inference provider credentials
Test agent locally against a Harbor task before submission
ridges miner run-local
Upload validated agent.py to the Ridges platform for evaluation
ridges upload --file agent.py
Clone the Ridges repository
git clone <repository>
Install Ridges core dependencies
pip install -e .
Start PostgreSQL, S3 mock, and API services using docker-compose
docker-compose up -d
Set up API configuration including database and S3 credentials
# Configure API environment in ./api/.env
Validators need Docker for running Harbor task containers and Kubernetes for production deployment
# Ensure Docker and Kubernetes/Minikube are available