DCL Core

Tamper-evident record chain + multi-party consensus primitives for AI agent audit systems. Part of the Deterministic Commitment Layer / Leibniz Layer™ ecosystem by Fronesis Labs.

This is a clean-history consolidation: the single-agent chain logic previously duplicated inside dcl-webhook, and the multi-agent consensus logic from dcl-v2, unified into one module with two known issues fixed.

What changed vs the previous implementations

1. ChainState.verify() now detects content tampering

The chain logic previously embedded in dcl-webhook/dcl_core.py only checked that prev_hash pointers linked correctly between rows. It never recomputed a row's hash from its own stored fields. That meant a party with direct database access could edit verdict, confidence, or reason on an existing row — without touching tx_hash/prev_hash — and verify() would still report the chain as clean. This defeated the core tamper-evident claim.

verify() here recomputes each row's hash from all of its stored fields and compares it against the stored tx_hash. Editing any field now breaks verification. See tests/test_fixes.py::test_detects_content_tamper_not_just_link_break.

2. Super-Hash consensus no longer uses XOR

dcl-v2's original formula was H*_t = hash(h_t1 ⊕ h_t2 ⊕ ... ⊕ h_tM). XOR is commutative and reversible: a party submitting last (or able to observe the running combination) can solve for a contribution that forces the final Super-Hash to any target value, without breaking any hash function — cheap arithmetic forgery, not a cryptographic break.

compute_super_hash() instead sorts contributions by party ID and hashes their length-prefixed concatenation. Order no longer matters (no last-mover advantage) and the XOR-forgery trick no longer works. See tests/test_fixes.py::test_super_hash_xor_forgery_no_longer_trivial.

Structure

dcl_core/
├── chain.py       ChainState — append-only chain, content-hash verify()
└── consensus.py   ConsensusRound, compute_super_hash — multi-party consensus
tests/
└── test_fixes.py  Regression tests for both fixes above

Quick start

pip install -e .
python -m pytest tests/ -v

from dcl_core import ChainState

chain = ChainState("audit.db")
tx_hash, idx = chain.append(
    verdict="COMMIT", input_hash="0xabc...", policy_hash="0xdef...",
    agent_id="agent-1", reason="policy checks passed", confidence=0.95,
    task_type="generation",
)

clean, bad_index, reason = chain.verify()

from dcl_core import ConsensusRound, verify_super_hash

round_ = ConsensusRound(expected_parties={"org-a", "org-b", "org-c"})
round_.submit("org-a", h_a)
round_.submit("org-b", h_b)
round_.submit("org-c", h_c)
super_hash, contributions = round_.seal()
assert verify_super_hash(contributions, super_hash)

Scope

This repo publishes the protocol layer only — record format, hash-chain verification, and consensus combination. Scoring/policy engines (behavioral fingerprinting, epistemic validation thresholds, reputation weighting) stay in separate, closed modules that build on top of this.

License

Apache License 2.0 — see LICENSE.