I built an open-source audit trail for AI agents (after mine silently failed for hours)
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The problem I was running a multi-agent pipeline and one of my agents silently failed. The only alert I got said "daily loss limit reached" — completely misleading. The real cause was a missing file the agent never reported. I had zero visibility into what any agent had actually done. What I built AgentLens — a Python SDK for AI agent governance. Three modules: Audit trail — every LLM call and tool use logged to SQLite automatically Authorization — policy-based gates so agents can only call…
1Key Takeaways
- The problem I was running a multi-agent pipeline and one of my agents silently failed.
- The only alert I got said "daily loss limit reached" — completely misleading.
- The real cause was a missing file the agent never reported.
- I had zero visibility into what any agent had actually done.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the problem I was running a multi-agent pipeline and one of my agents silently failed.
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