AgentClash vs Opik

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).

Opik helps teams building applications or agents that call an LLM log actions and evaluate behavior across development, testing, and production. It captures and visualizes traces, supports annotation, and provides audit logs. Its evaluation tools include more than 30 metrics for outcomes such as answer relevance, context precision, task completion, and hallucination. In production, Opik can evaluate traces in real time, alert when criteria fail, and track token use and model costs. Test Suites offer pass/fail assertions, an Agent Playground supports end-to-end tests, and a Prompt Optimizer provides six algorithms. Core observability and evaluation features are available as open-source code for local use. Opik includes a REST API and Python client, with Python and TypeScript SDKs listed, and integrations with more than 40 frameworks, model providers, and gateways. Free Cloud allows up to 10 team members, 25,000 spans per month, and 60-day retention. Pro Cloud costs $19 a month and lists up to 50 team members and 100,000 spans monthly.