Google Cloud Agent Evaluation

What Google Cloud Agent Evaluation is

Google Cloud Agent Evaluation helps measure and improve AI agents’ performance, safety, and quality. Its workflow defines evaluation cases, runs inferences, records behavior traces, calculates metrics, analyzes results, and uses those findings to optimize the agent. It can generate multi-turn synthetic scenarios from agent instructions and tool definitions, and simulate tool calls with custom behavior, mocked data, or errors such as HTTP 503 responses and latency spikes. Prebuilt or custom raters can score traces with reference-based Exact Match or reference-free Helpfulness metrics. Evaluations can also use production traffic or external logs without a managed test environment. Prompt optimization identifies failure points and proposes targeted system-instruction updates. Google provides notebook launch options for Colab, Colab Enterprise, Agent Platform Workbench, and GitHub, and evaluation skills for AI coding assistants. The service is available on the web and through an API. Pricing is usage-based; new Google Cloud customers receive $300 in trial credits. The documented default quotas include 1,000 evaluation requests per project, region, and minute, with 20 concurrent runs.