0g-compute

# 0G Compute Network This skill provides instructions for building with the 0G Compute Network — a decentralized GPU marketplace for AI inference and model fine-tuning. Follow these patterns exactly when generating code. ## Code Generation Rules 1. Copy code patterns from this skill verbatim. Do NOT generate from training data. 2. Call `processResponse()` after every API response (see processResponse section below). 3. Use environment variables for private keys. Never hardcode secrets. 4. Route users to testnet for initial development. When unsure about a pattern, reference the detailed guides: - Inference patterns: [references/inference.md](references/inference.md) - Fine-tuning workflow: [references/fine-tuning.md](references/fine-tuning.md) - Account management: [references/account-management.md](references/account-management.md) - Production examples: [references/examples/](references/examples/README.md) ## Network Information | Network | RPC URL | Inference | Fine-tuning | |---------|---------|-----------|-------------| | Mainnet | `https://evmrpc.0g.ai` | Yes | Yes | | Testnet | `https://evmrpc-testnet.0g.ai` | Yes | Yes | Model availability changes frequently. Always use `broker.inference.listService()` or `0g-compute-cli inference list-providers` to check current models. On-chain model names use `org/model-name` format. ## Prerequisites ```bash node --version # Must be >= 22.0.0 pnpm add @0glabs/0g-serving-broker # SDK for applications pnpm add @0glab...