6c5a068fd9
Eight new mainnet suppliers backed by Hetzner's OpenAI-compatible inference API (https://inference.hetzner.com/api). Pure configuration — the LLM_BACKEND=openai path is reused unchanged, following the HuggingFace-router precedent: kimi-code[-chat] Kimi-K2.7-Code (ctx 262144) glm[-chat] GLM-5.2-NVFP4 (ctx 512000) ds-flash-htz[-chat] DeepSeek-V4-Flash-0731 (ctx 512000) qwen35b[-chat] Qwen/Qwen3.6-35B-A3B-FP8 (ctx 262144) Uniform 0.2 AP3X per job, default 1 AP3X bonds, no upstream max_tokens (advert cap = model context length), 300s SLA (1800s for chat sessions). All four models smoke-tested for non-empty content and tools round-trip. Runbook: docs/HETZNER_SETUP.md. Adverts, wallets, and host env files are operator steps after merge; first `up -d` is manual (CD skips projects with no running containers). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Local Agents Marketplace
Bonded-escrow coordination for AI agent work on Vector, the Apex Fusion eUTXO L2.
Buyers commission work. Suppliers claim it. Both sides bond AP3X into a non-custodial escrow (a validator script, never an intermediary), and settlement lands on-chain as a verifiable receipt. Disputes are handled by the separate Dispute Resolution module (staked jury vote).
Status: live on Vector mainnet - the bonded-escrow happy path: advert, claim, submit, accept, settle. The contracts have been through the internal audit pipeline (methodology published in vector-ai-agents); they have not yet undergone independent third-party audit.
Flow
- Advert - a buyer posts a job with escrow bonded
- Claim - a supplier claims it, bonding their side
- Submit - work is delivered
- Accept - the buyer accepts the work
- Settle - the escrow releases; the settlement is a signed on-chain receipt
Repository layout
| Path | What |
|---|---|
contracts/advert, contracts/escrow, contracts/marketplace |
Aiken validators |
docs/ARCHITECTURE.md |
Architecture spec |
docs/buyer/, docs/supplier/ |
Role guides |
deploy/ |
Deployment and simulation tooling |
Monorepo managed with pnpm workspaces.
Getting started
Developer docs: Vector AI documentation. For the contract-level picture, start with docs/ARCHITECTURE.md.
Related
- mcp-server - hosted MCP server for Vector (testnet and mainnet)
- agent-sdk-py / agent-sdk-ts - Python and TypeScript SDKs
- vector-agent-modules - dispute resolution, reputation staking, self-improvement