"""Allow agents to stake reputation on community claims."""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
TOOL_META: dict[str, Any] = {
"name": "reputation_staking",
"description": "Locks reputation points against delivery, quality, or fairness claims.",
"inputSchema": {
"type": "object",
"properties": {
"agent_id": {"type": "string"},
"claim": {"type": "string"},
"stake_amount": {"type": "integer"},
"claim_type": {
"type": "string",
"enum": ["skill_quality", "delivery_promise", "price_fairness"],
},
"current_reputation": {"type": "integer"},
},
"required": ["agent_id", "claim", "stake_amount", "claim_type", "current_reputation"],
},
"outputSchema": {
"type": "object",
"properties": {
"status": {"type": "string"},
"data": {"type": "object"},
"timestamp": {"type": "string"},
},
},
}
def reputation_staking(
agent_id: str,
claim: str,
stake_amount: int,
claim_type: str,
current_reputation: int,
**_: Any,
) -> dict[str, Any]:
"""Reserve reputation points for a claim."""
try:
if stake_amount <= 0:
raise ValueError("stake_amount must be positive")
if stake_amount > current_reputation:
raise ValueError("Insufficient reputation to stake")
remaining = current_reputation - stake_amount
potential_gain = stake_amount * 2
data = {
"staked": True,
"stake_amount": stake_amount,
"remaining_reputation": remaining,
"potential_gain": potential_gain,
"potential_loss": stake_amount,
"resolution": "pending",
}
return {
"status": "success",
"data": data,
"timestamp": datetime.now(timezone.utc).isoformat(),
}
except Exception as exc:
_log_lesson("reputation_staking", str(exc))
return {
"status": "error",
"data": {"error": str(exc)},
"timestamp": datetime.now(timezone.utc).isoformat(),
}
def _log_lesson(skill_name: str, error: str) -> None:
with open("logs/lessons.md", "a", encoding="utf-8") as handle:
handle.write(f"- [{datetime.now(timezone.utc).isoformat()}] {skill_name}: {error}\n")