Harness AgentTrace: An Observability and Guardrail Framework

AgentTrace is a framework developed by Harness to enhance the observability, evaluation, and governance of AI agents by connecting production monitoring with evaluation metrics in a seamless pipeline. Unlike traditional observability tools that merely report on agent activity, AgentTrace actively scores the quality of agent outputs and can intervene during live runs, addressing issues such as incorrect tool selection or inefficient paths. This is achieved through a single pipeline encompassing stages of data collection, filtering, evaluation, and action, which allows production failures to be converted into regression test cases, thus closing the loop between identifying and preventing errors in future releases. By open-sourcing core components like harness-sdk and harness-evals under Apache 2.0, Harness enables teams to implement this framework on any backend without needing the full Harness platform, allowing for integrated quality assessment and intervention capabilities in AI agent operations.

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