Foil

Overview

[Product intro] Foil positions itself as the "manager" of AI Agents, focused on uncontrollable agent behavior and hard observability in production. The platform records and reconstructs an Agent's full thinking chain in real time—model calls, tool use, memory reads, and branch decisions. It learns adaptively, auto-building Agent behavior profiles from run traces and using health anchors to detect performance drift. Non-intrusive integration: developers only need simple CLI commands for auto instrumentation and tracing in existing codebases. Foil aims to provide full-lifecycle monitoring from development iteration to production maintenance via quantified metrics and deep behavior analysis. [Product features] Full-chain thought tracing: visualize the Agent's decision tree and reasoning to quickly locate hallucination or logic-break nodes. Automated evaluation: built-in 9 core metrics including hallucination detection, PII recognition, prompt-injection defense, and user-satisfaction analysis. Behavior profiles and drift detection: auto-build behavior baselines from run data; auto-alert when Agent performance leaves the normal range. Cost and performance monitoring: real-time Token spend and per-stage latency to help teams optimize model-call strategy and control API cost.

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