⚖️ Fleet court — agent judgment, dispute resolution, and quality scoring
Project description
⚖️ Court
Fleet governance — agent judgment, dispute resolution, and quality scoring
Every fleet needs a court. Judge agent actions, track trust scores over time, and review knowledge tiles for quality before they enter PLATO.
Install
pip install court
Quick Start
Judge Actions
from court import Judge
judge = Judge()
verdict = judge.evaluate("oracle1", "submit_tile", {"confidence": 0.92})
print(f"{verdict.severity.value}: {verdict.reason}")
Track Trust
from court import TrustLedger
ledger = TrustLedger()
ledger.record("oracle1", "tile_accepted", delta=0.02, reason="High quality")
ledger.record("oracle1", "tile_rejected", delta=-0.05, reason="Absolute claim")
print(f"Trust: {ledger.trust_score('oracle1'):.2f}")
print(f"Level: {ledger.trust_level('oracle1')}")
Review Tiles
from court import Review
review = Review()
result = review.check_tile({
"question": "What is X?",
"answer": "X is always Y.",
"confidence": 0.5,
})
print(f"{result.status.value}: {result.feedback}")
API Reference
| Class | Purpose |
|---|---|
Judge |
Evaluate actions → Verdict (severity + score) |
TrustLedger |
Track trust scores (0-1) with history |
Review |
Check tiles for quality (absolute claims, missing fields) |
Part of Cocapn · Agent Infrastructure
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