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0g-compute

0G Compute Network guide for decentralized AI inference, fine-tuning, and GPU services. Covers chatbots, image generation, speech-to-text, SDK integ…

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命中总数36 处
命中统计严重 18 · 高 0 · 中 0 · 低 0
逐条看命中(18 条严重或高危)
  • 严重 references/examples/README.md:122cred-paths
    2. **Environment configuration**: Setup `.env` file with private key
  • 严重 references/examples/speech-to-text.md:27cred-paths
    └── .env
  • 严重 references/examples/speech-to-text.md:110cred-paths
    Create `.env`:
  • 严重 references/examples/speech-to-text.md:172cred-paths
    --provider <address>    Provider address (default: from .env)
  • 严重 references/examples/speech-to-text.md:275cred-paths
    throw new Error("PRIVATE_KEY not found in .env");
  • 严重 references/examples/streaming-chat.md:17cred-paths
    └── .env                     # Environment variables (not committed)
  • 严重 references/examples/streaming-chat.md:164cred-paths
    --provider <address>    Provider address (default: from .env PROVIDER_ADDRESS)
  • 严重 references/examples/streaming-chat.md:165cred-paths
    --message <text>        User message (default: from .env USER_MESSAGE)
  • 严重 references/examples/streaming-chat.md:195cred-paths
    "Provider address not specified. Use --provider flag or set PROVIDER_ADDRESS in .env"
  • 严重 references/examples/streaming-chat.md:407cred-paths
    # Using default provider from .env
  • 严重 references/examples/streaming-chat.md:576cred-paths
    Ensure `.env` file exists and contains:
  • 严重 references/examples/streaming-chat.md:583cred-paths
    Either add to `.env`:
  • 严重 references/examples/streaming-chat.md:618cred-paths
    - Add `.env` to `.gitignore`
  • 严重 references/examples/text-to-image.md:26cred-paths
    └── .env
  • 严重 references/examples/text-to-image.md:107cred-paths
    Create `.env`:
  • 严重 references/examples/text-to-image.md:166cred-paths
    --provider <address>    Provider address (default: from .env)
  • 严重 references/examples/text-to-image.md:204cred-paths
    throw new Error("PRIVATE_KEY not found in .env");
  • 严重 references/examples/text-to-image.md:208cred-paths
    throw new Error("Provider address required. Use --provider or set in .env");

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

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

node --version  # Must be >= 22.0.0
pnpm add @0glabs/0g-serving-broker        # SDK for applications
pnpm add @0glabs/0g-serving-broker -g     # CLI for direct usage

Quick Setup

0g-compute-cli setup-network              # Choose testnet or mainnet
0g-compute-cli login                       # Login with wallet private key
0g-compute-cli deposit --amount 10         # Deposit funds
0g-compute-cli get-account                 # Check balance

Inference (SDK)

import { ethers } from "ethers";
import { createZGComputeNetworkBroker } from "@0glabs/0g-serving-broker";

const RPC_URL = process.env.NODE_ENV === 'production'
  ? "https://evmrpc.0g.ai"
  : "https://evmrpc-testnet.0g.ai";

const provider = new ethers.JsonRpcProvider(RPC_URL);
const wallet = new ethers.Wallet(process.env.PRIVATE_KEY!, provider);
const broker = await createZGComputeNetworkBroker(wallet);

// Discover services
const services = await broker.inference.listService();
services.forEach(s => {
  console.log(`${s.provider} | ${s.model} | ${s.serviceType}`);
});

// Make inference request
const { endpoint, model } = await broker.inference.getServiceMetadata(providerAddress);
const headers = await broker.inference.getRequestHeaders(providerAddress);

const response = await fetch(`${endpoint}/chat/completions`, {
  method: "POST",
  headers: { "Content-Type": "application/json", ...headers },
  body: JSON.stringify({ messages, model })
});

const data = await response.json();

// Extract chatID (see chatID table below)
let chatID = response.headers.get("ZG-Res-Key") || response.headers.get("zg-res-key");
if (!chatID) chatID = data.id;

// CRITICAL: Always call processResponse
await broker.inference.processResponse(
  providerAddress,              // 1st: provider address
  chatID,                       // 2nd: response identifier for verification
  JSON.stringify(data.usage)    // 3rd: usage data for fee calculation
);

For streaming, browser SDK, cURL, and Python examples, see [references/inference.md](references/inference.md).

processResponse (CRITICAL)

Call broker.inference.processResponse() after EVERY API response for fee settlement and TEE verification.

await broker.inference.processResponse(
  providerAddress,              // 1st: provider address
  chatID,                       // 2nd: response identifier for verification
  JSON.stringify(data.usage)    // 3rd: usage data for fee calculation
);

Parameter order: provider, chatID, usageData. Do NOT reorder.

chatID Retrieval by Service Type

Always try ZG-Res-Key response header first. Use fallback only when header is absent.

| Service Type | chatID Source | Fallback |

|---|---|---|

| Chatbot | ZG-Res-Key header | data.id from response body |

| Text-to-Image | ZG-Res-Key header | none |

| Speech-to-Text | ZG-Res-Key header | none |

| Chatbot Streaming | ZG-Res-Key header | id from stream chunk |

| Audio Streaming | ZG-Res-Key header | none |

Fine-tuning

Fine-tuning is available on both mainnet and testnet. It is a 6-step CLI process: list providers, upload dataset, calculate tokens, create task, monitor, download and decrypt.

For the complete workflow, see [references/fine-tuning.md](references/fine-tuning.md).

Account Management

The 0G Compute Network uses Main Accounts (deposits/withdrawals) and Provider Sub-Accounts (service payments). Sub-account refunds have a 24-hour lock period.

0g-compute-cli get-account                                    # Check balance
0g-compute-cli deposit --amount 10                             # Deposit to main
0g-compute-cli transfer-fund --provider <ADDR> --amount 5      # Transfer to sub-account
0g-compute-cli retrieve-fund                                   # Retrieve from sub (24h lock)
0g-compute-cli refund --amount 5                               # Withdraw to wallet

For detailed account management, see [references/account-management.md](references/account-management.md).

CLI Quick Reference

# Inference
0g-compute-cli inference list-providers                        # List all providers
0g-compute-cli inference verify --provider <ADDR>              # Verify TEE attestation
0g-compute-cli inference acknowledge-provider --provider <ADDR> # Required before first use
0g-compute-cli inference get-secret --provider <ADDR>          # Get API key for direct calls
0g-compute-cli inference serve --provider <ADDR> --port 3000   # Local OpenAI-compatible proxy

# Fine-tuning
0g-compute-cli fine-tuning list-providers                      # List fine-tuning providers
0g-compute-cli fine-tuning list-models                         # List available models

# Web UI
0g-compute-cli ui start-web                                    # Launch at localhost:3090

Troubleshooting

| Problem | Solution |

|---|---|

| Insufficient balance | deposit --amount 5 then transfer-fund --provider <ADDR> --amount 2 |

| Provider not acknowledged | inference acknowledge-provider --provider <ADDR> |

| Provider busy (fine-tuning) | Wait and retry, or choose a different provider |

| Web UI port conflict | ui start-web --port 3091 |

Resources

> Note: A unified skill covering all 0G services (Compute, Storage, Chain) exists at 0g-agent-skills.

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