TxVeto open-sourced to stop runaway agent loops draining API budgets
u/hedigardi open-sourced TxVeto, a lightweight in-process runtime guard that enforces budget caps, step limits, and repeated tool-loop detection to stop runaway AI agent runs.
Score breakdown
TxVeto provides an in-process mechanism to cap costs and halt misbehaving agent runs before they exhaust API budgets — a gap the post identifies as a recurring pain point in agentic workflows involving tool misuse or prompt injection.
- 01Built by u/hedigardi to address AI agent runs spiraling into expensive loops from tool misuse or prompt injection
- 02Enforces a maximum budget cap per agent run
- 03Stops execution after a configurable maximum number of steps
u/hedigardi released TxVeto after repeatedly observing AI agent runs spiral into costly loops triggered by tool misuse or prompt injection. The open-source project is a lightweight, in-process runtime guard aimed at giving developers direct control over runaway agent behavior without requiring a separate infrastructure layer.
TxVeto provides four core capabilities: enforcing a maximum API budget per run, stopping execution after a maximum number of steps, detecting repeated tool loops and vetoing them early, and exposing MCP tools for policy control. The project is available alongside a demo at txveto.hedigardi.com.
Key facts
- 01Built by u/hedigardi to address AI agent runs spiraling into expensive loops from tool misuse or prompt injection
- 02Enforces a maximum budget cap per agent run
- 03Stops execution after a configurable maximum number of steps
- 04Detects repeated tool loops and vetoes execution early
- 05Exposes MCP tools for policy control
- 06Intentionally lightweight and runs in-process
- 07Open-sourced with a repo and demo at txveto.hedigardi.com
Topics
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