AgentClash vs Google Cloud Agent Evaluation

AgentClash is an open-source platform for evaluating AI agents on real tasks. It runs each agent in a fresh Firecracker microVM with isolated files and network, then removes the sandbox after the run. Multi-turn evaluations score tool choices, cost, latency, recovery, and final outcomes. YAML challenge packs define tools, policies, scoring rules, and starting state; available tools include file operations, data queries, HTTP, shell, and test runners. Scoring can combine deterministic, mathematical, behavioral, and language-model judges with configurable weights and consensus. Failed runs can become permanent regression tests. CI/CD checks run through GitHub Actions, webhooks, or the CLI and can fail builds when correctness, cost, latency, or evidence regresses. Adapters cover OpenAI, Anthropic, Gemini, xAI, Mistral, and OpenRouter. It offers API, web, and self-hosted use. Pricing is freemium: Free, or paid from $39/mo (annual).

Google Cloud Agent Evaluation helps measure and improve agent performance, safety, and quality. Its workflow runs from defining evaluation cases through inference, behavior-trace capture, metric calculation, result analysis, and optimization. It can generate varied, multi-turn test scenarios from agent instructions and tool definitions, and intercept tool calls to supply custom behavior, mocked data, or simulated errors such as HTTP 503 responses and latency spikes. Prebuilt or custom raters score traces with reference-based Exact Match or reference-free Helpfulness metrics. Teams can also evaluate production-traffic traces or external logs without a managed test environment. Prompt optimization identifies failure points and proposes focused system-instruction changes. The service supports tool-call checks, safety evaluations, regression runs, trace ingestion, and custom models. Access is through API or web, with notebook launch options for Colab, Colab Enterprise, Agent Platform Workbench, and GitHub. Pricing is usage-based: $0.00003 per 1k input characters and $0.00009 per 1k output characters for computation-based metrics; model-based metrics also incur underlying autorater model costs. New Google Cloud customers get $300 in trial credits.