VRUNAI
VRUNAI: A focused open-source toolkit for measuring agent paths, tools, outcomes, cost, and latency. Ranked #23 of 28 in AI Agent Evaluation Tools by our editors (6.8/10); pricing: Free plan; best for teams checking agent paths and tool accuracy.
At a glance
- Editor score6.8 / 10
- PricingFree plan
- Best forTeams checking agent paths and tool accuracy
- Free planYes
- Paid fromFree
- Tool-call checksYes
- Facts checked21 Sep 2026

Where it wins
- Evaluates paths, tool calls, outcomes, consistency, cost, and latency
- Compares OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, and Ollama
- Offers YAML definitions plus terminal TUI and browser interfaces
Where it doesn't
- Does not provide safety evaluations
- Cannot ingest execution traces
- Platform coverage is narrower than broader evaluation suites
Our verdict on VRUNAI
VRUNAI is an open-source CLI and browser-based tool for evaluating LLM agents. It is designed for solo developers and small to mid-market teams that need to define agents, tools, execution flows, mock data, and test scenarios in YAML. Evaluations cover path accuracy, tool-call accuracy, outcome accuracy, consistency across repeated runs, latency, and cost. The product supports both terminal and browser interfaces, with local or browser-based operation without a backend.
The published pricing information describes VRUNAI as having no fees, subscriptions, or usage limits. Users pay only the costs charged by their selected LLM providers. The product supports OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, and Ollama, enabling comparisons across those providers. Cloud and self-hosted deployment options are available, while community support and documentation are the listed support channels. This combination suits teams that want an open-source evaluation workflow and are comfortable managing provider costs and their own evaluation process.
Its standout strength is the breadth of agent-behavior checks within a focused evaluation workflow. Teams can visualize execution traces, validate tool calls, compare outcomes across providers, and track consistency, cost, and latency from defined scenarios. The YAML-based Agent Definition Language provides a structured way to describe test inputs and execution flows. VRUNAI is less suitable for teams prioritizing safety evaluations, execution-trace ingestion, or broader platform coverage. Choose it when path, tool, outcome, and provider comparison are the central needs; consider an alternative when safety assessment or imported traces are required.
Your product? Our editors can test VRUNAI in depth and publish a review, labelled as paid · from $149/mo →
VRUNAI pricing
VRUNAI fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Evaluation methods | Code |
| Tool-call checks | Yes |
| Trace ingestion | No |
| Safety evaluations | No |
| Regression runs | Not verified |
| SDK language support | Not verified |
| Dataset limit | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market (editorial estimate) |
| Integrations | 7 integrations: OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral … |
| Pricing | Free plan |
| Website | vrunai.com |
| Facts checked | 21 Sep 2026 |
VRUNAI integrations
VRUNAI lists 7 integrations on its own site.
- OpenAI
- Anthropic
- xAI
- DeepSeek
- Mistral
- Ollama
Alternatives to VRUNAI
- DeepEvalA developer-focused evaluator for testing agents, tools, safety, and regressions.9.4
- AgentClashAgentClash tests agent behavior with replayable evidence, sandboxing, safety checks, and CI gates.9.3
- Future AGI AI Evaluation SDKBroad evaluation coverage with SDKs, tracing, simulations, and CI/CD quality gates.9.2
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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