AKF — Agent Knowledge Format. Lightweight file format for AI-generated knowledge with built-in trust, provenance, and security.
Project description
AKF — Agent Knowledge Format (Python SDK)
Lightweight file format for AI-generated knowledge with built-in trust, provenance, and security.
Install
pip install akf
akfcommand not found? Usepython3 -m akf(always works), or:
- Install with pipx:
pipx install akf(recommended — auto-handles PATH)- macOS: add
export PATH="$HOME/Library/Python/3.9/bin:$PATH"to~/.zshrc- Linux: add
export PATH="$HOME/.local/bin:$PATH"to~/.bashrc
Usage
import akf
# Create a single-claim unit
unit = akf.create("Revenue $4.2B", t=0.98, src="SEC 10-Q", tier=1)
unit.save("report.akf")
# Load and validate
unit = akf.load("report.akf")
result = akf.validate(unit)
# Builder API
unit = (akf.AKFBuilder()
.by("sarah@woodgrove.com")
.label("confidential")
.claim("Revenue $4.2B", 0.98, src="SEC 10-Q", tier=1, ver=True)
.claim("Cloud growth 15%", 0.85, src="Gartner", tier=2)
.build())
# Trust computation
for claim in unit.claims:
result = akf.effective_trust(claim)
print(f"{result.decision}: {result.score:.2f}")
# Agent consumption
brief = (akf.AKFTransformer(unit)
.filter(trust_min=0.5)
.penalty(-0.03)
.by("research-agent")
.build())
CLI
akf create report.akf --claim "Revenue $4.2B" --trust 0.98
akf validate report.akf
akf inspect report.akf
akf trust report.akf
akf consume report.akf --output brief.akf --threshold 0.6
akf provenance report.akf
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