AgDR-Phoenix

Atomic Kernel Inference SDK for Phoenix v1.8.12

Developed by the Genesis Glass Foundation (Fondation Genèse Cristal), a federally incorporated Canadian not-for-profit. founding@accountability.ai

"AgDR satisfies a CISO. AgDR satisfies a judge."

What It Does

AgDR-Phoenix seals every AI decision at the exact moment it occurs. Each record carries a PPP Triplet (Provenance, Place, Purpose), a coherence score, a reputation scalar, and a HumanDeltaChain linking machine output to human oversight or escalation.

The result is a tamper-evident, court-admissible decision record with a clear chain of custody from the instant of inference. Zero-knowledge proofs allow selective disclosure to regulators and courts without exposing the underlying reasoning.

Installation

Python (PyPI)

pip install agdr-aki

Rust (crates.io)

cargo add agdr-aki

Build from Source

pip install maturin[patchelf]
git clone https://github.com/aiccountability-source/AgDR-Phoenix
cd AgDR-Phoenix
maturin develop --release

Quick Start

from agdr_aki import AKIEngine, PPPTriplet, HumanDeltaChain

engine = AKIEngine("records.db")

ppp = PPPTriplet(
    provenance="Phoenix v1.8 ACME",
    place="Toronto CA PIPEDA",
    purpose="AgDR"
)

hdc = HumanDeltaChain(
    agent_decision_ref="aki_001",
    resolved=True,
    terminal_node="autonomous"
)

record = engine.capture(
    ctx={"claim": "CLM-12345"},
    prompt="Process claim #12345",
    reasoning_trace={"steps": ["analyze", "decide"]},
    output="Approve",
    ppp_triplet=ppp,
    human_delta_chain=hdc
)

print(record.id)
print("Coherence:", record.coherence_score)
print("Reputation:", record.reputation_scalar)

Zero-Knowledge Proofs

AgDR-Phoenix supports lightweight on-demand zero-knowledge proofs on sealed records.

zk_proof = record.generate_zk_proof(mode="full_validity")
court_pkg = record.to_court_package(include_zk_proof=True)
print(court_pkg)

Properties

• Proves the record is contemporaneous, tamper-evident, PPP-compliant, and correctly signed
• Reveals nothing about the original context, prompt, reasoning trace, or output
• Verification uses only the public Merkle root
• Designed for regulators and courts under PIPEDA and the Canada Evidence Act

Core Concepts

Evidentiary Architecture

Distinction from Structural Monitoring

AgDR captures semantic decision provenance: what the agent decided, why, under what authority, and with what confidence, sealed at the moment of inference.

Structural container monitoring (e.g., the AGA standard) records whether the system was running correctly. AgDR records what the system actually decided. Both serve different functions in an AI governance stack.

Specification and Standards

License

Dual-licensed under Apache 2.0 OR CC0 1.0.

The AgDR open standard is stewarded by the Genesis Glass Foundation (Fondation Genèse Cristal), a federally incorporated Canadian not-for-profit. The royalty-free grant is anchored in the Foundation's articles of incorporation.

Contributing

See CONTRIBUTING.md. All contributions are welcome. The standard is open.

Contact

Genesis Glass Foundation

founding@accountability.ai

https://accountability.ai

Resources

• AgDR Specification
• AKI Formal Definition
• Human Delta Chain Spec
• Technical Details
• PPP Pillars
• Changelog
• Contributing Guide
• Rust API Documentation
• PyPI Package
• Crates.io Registry