Developer releases AgentLens, open-source audit trail SDK for AI agent pipelines

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A developer has released AgentLens, an open-source Python SDK designed to improve visibility and governance in multi-agent AI pipelines. The project was prompted by a silent agent failure that triggered a misleading 'daily loss limit reached' alert, while the true cause — a missing file — went unreported. AgentLens offers three core modules: an automatic audit trail logging all LLM calls and tool usage to SQLite, policy-based authorization controls, and anomaly detection with configurable alerting. The SDK is designed as a drop-in integration, with current support for Anthropic's API requiring minimal code changes. The project is open-source and aims to address the lack of observability tools available for multi-agent AI systems.

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