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OrogenVerifiable LLM inference, anchored to physical work.

OpenAI-compatible gateway routed to TEE-attested GPU operators, with validator replay, opML challenges, and burn-and-mint settlement on a Substrate-based chain.

What lives in these docs

These docs cover the four audiences identified in the marketing brief. If a section is short, that is intentional — the canonical specs live in the RFCs and the per-pallet code under pallet-suite/; prose here exists to orient, not to duplicate.

AudienceJob to be doneWhere to start
Customers — app builders, LLM consumersSend OpenAI-shaped requests, verify receipts, estimate per-tier price/customers/
Operators — GPU owners across six tiersRun a node, pass attestation, stake, route to demand/operators/
Validators — replay node operators and proof workersReceive the verification allocation by performing assigned replay or proof work; no passive staking yield/validators/
Researchers and governance participantsRead the protocol spec, the RFCs, and the tokenomics/protocol/ · /tokenomics/ · /governance/

Status

  • Forge testnet is live and open to outside operators. Public endpoints (chain RPC, gateway, attestation, indexer, faucet) are listed on the Forge testnet page. It is a test-mode preview: the gateway runs in test mode, attestation uses mock quotes, and the faucet is low-cap — not a production release.
  • SDKs are development packages. They are not on PyPI/npm yet — install from source. See Downloads.
  • Mainnet TGE remains gated. Multi-validator Forge operation, independent validators, real audits, live chaos drills, and release CI all need to close before any production launch claim.

If something here contradicts the canonical RFC, the RFC wins and this page is the bug. Open an issue or edit on GitHub.