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Developer releases open-source Python library after months of debugging unattended AI agent

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A software developer has released a lightweight Python library called kevlar-agent after spending months identifying critical failure points in a self-built, voice-driven AI assistant running unattended with over 240 tool integrations. Among the key bugs discovered were an OAuth flow that silently blocked indefinitely when no user was present, duplicate tool calls that caused two processes to simultaneously fight over a single microphone, and a shared API key that allowed one feature's usage burst to silently exhaust quota needed by another. Each failure led to a specific fix — including time-windowed deduplication, per-feature budget ceilings, and enforced timeouts for blocking calls. The resulting library, kevlar-agent, packages these patterns as plain Python decorators with no framework dependencies, making it compatible with tools like LangChain, CrewAI, or custom agent setups. It is MIT licensed, includes 24 tests, and is publicly available on GitHub and PyPI.

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