Lions2026

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  1. LLM agents retry tool calls constantly. Retries can happen because of: - model loops - HTTP timeouts - queue retries - orchestration restarts If the tool triggers something irreversible you can end up with duplicate…

  2. I built a small Python library called SafeAgent that protects real-world side effects when AI agents retry tool calls. One issue we ran into while experimenting with agent workflows is that retries can trigger…

  3. LLM agents and tool-calling systems frequently retry or replay actions. This becomes dangerous when the action is irreversible: - sending emails - opening tickets - executing trades - triggering payouts SafeAgent is a…

  4. I'm working on (and hold IP around) an architecture pattern for P2P contest and oracle-resolved systems that focuses on deterministic settlement, dispute containment, and exactly-once execution between outcome…