Houndsight.ai

Houndsight provides a comprehensive observability layer for agent-based systems, ensuring every action from trigger to execution is meticulously monitored, traced, and audited. Key capabilities include: * End-to-end tracing across six execution stages * Immutable audit trail for every agent run * Human-in-the-loop review gates for high-risk actions * Cost and token metering for tool calls * Drop-in SDK for quick integration This platform allows developers to gain deep visibility into their agent's operational "nervous system," logging each step to make actions fully traceable and attributable. It offers granular control, enabling intervention at crucial boundaries, from initial webhooks and user messages to task planning, tool execution (database queries, API calls), and final output assembly. Detailed per-call events track metrics like costs, errors, and cache hits, contributing to a robust log. More than just a dashboard, Houndsight embeds structural, system-level controls directly within the agent's execution path. This includes enforcing least-privilege tool access and synchronous human gates to prevent unauthorized or risky operations. It ensures agents operate within defined parameters without the ability to bypass logging or review processes. Houndsight is compatible with major frameworks like OpenAI, Anthropic, LangChain, and LlamaIndex. Ideal for engineering teams seeking rigorous governance and transparency for their agent deployments. It's perfect for auditing agent behavior, ensuring compliance, and managing operational risks in critical systems.