Groundcover expands AI Observability for LLM interactions

Coverage from Silicon Angle indicates that Groundcover Ltd. has expanded its AI Observability capabilities, now offering native support for agentic AI systems compatible with Google Vertex AI. This update aims to provide engineering and platform teams with the ability to trace every large language model (LLM) interaction, enabling them to integrate observability into production environments at the pace of modern application development.

The expansion addresses visibility gaps that arise as organizations rapidly integrate LLMs into production systems. Groundcover's approach captures the full context of LLM interactions, tracing how outputs are generated across complex systems. Key features include agent trace visibility, surfacing complete execution traces for model calls and tool invocations. Accurate cost attribution, including prompt caching, tracks token costs at the span level, accounting for complex API pricing. Native support for Google Vertex AI is also included, with observability data remaining within the customer's environment and requiring zero instrumentation.

Source: Silicon Angle