VRUNAI
VRUNAI is a free, open-source tool for evaluating LLM agents across execution paths, tool calls, and final outcomes.
What VRUNAI is
VRUNAI is a free, open-source tool for evaluating LLM agents across execution paths, tool calls, and final outcomes. Users define tools, mock data, conditional flows, and test scenarios in YAML without writing code. Each scenario can run repeatedly, allowing consistency scoring for the agent’s path. VRUNAI calculates cost per scenario and provider from token usage and includes model-pricing and context-window statistics. Listed providers include OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Ollama, and custom providers. It offers a terminal interface and a React web app that can run locally or in a hosted browser version. Local inference works through Ollama and custom API endpoints, including OpenAI-compatible APIs. The CLI runs on the user’s machine; web-app keys are stored in browser localStorage and sent directly to configured provider APIs. VRUNAI states that it has no accounts, backend, or telemetry and is fully client-side. The tool has no VRUNAI usage limits or fees, although configured providers may charge for API calls. It is licensed under AGPL-3.0.
Good
- YAML scenario definitions without coding
- Repeated runs measure path consistency
- Cost and context-window statistics
- Supports hosted and local interfaces
- No VRUNAI fees or usage limits
Watch out
- Configured providers may charge API fees
- Web-app keys use browser localStorage
- AGPL-3.0 license applies
- No trace ingestion or safety evaluations listed
Who it suits
VRUNAI suits people evaluating LLM agents, checking tool calls, and comparing behavior across providers. It is useful for users comfortable defining scenarios in YAML or running a terminal and web interface.
Verdict
VRUNAI provides client-side agent evaluation with repeatable scenarios, provider comparisons, and cost analysis. Its free model removes product fees, but API charges from selected providers still apply.
Plans and prices
From VRUNAI's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | No VRUNAI fees, subscriptions, or usage limits · AGPL-3.0 · Completely free; only LLM API calls to configured providers cost extra |
The facts
Each one read from VRUNAI's own pages, with the date it was checked.
What it does
- Agent definitions
- Users define tools, mock data, conditional flows, and test scenarios in YAML without writing code.checked 7 Oct 2026
- Backend and telemetry
- The site states that VRUNAI has no accounts, backend, or telemetry and is fully client-side.checked 7 Oct 2026
- Consistency
- It can run each scenario multiple times and score how consistently the agent follows the same path.checked 7 Oct 2026
- Intended users
- The site presents VRUNAI for people evaluating LLM agents and comparing their behavior across providers.checked 7 Oct 2026
- Interfaces
- VRUNAI offers a terminal interface and a React web app, which can run locally or be tried in a hosted browser version.checked 7 Oct 2026
- License
- VRUNAI is open source under the AGPL-3.0 license.checked 7 Oct 2026
- Local model support
- The FAQ says it supports local inference through Ollama and custom API endpoints, including OpenAI-compatible APIs.checked 7 Oct 2026
- Privacy
- The CLI runs on the user's machine and the site says its keys stay in the terminal; web app keys are stored in browser localStorage and sent directly to configured provider APIs.checked 7 Oct 2026
- Providers
- The site lists OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Ollama, and custom providers.checked 7 Oct 2026
- Support
- The site links to GitHub for bug reports and feature requests.checked 7 Oct 2026
- What it does
- VRUNAI evaluates LLM agents across execution path, tool calls, and final outcomes.checked 7 Oct 2026
Money
- Cost tracking
- It calculates cost per scenario and provider from token usage and includes model pricing and context window statistics.checked 7 Oct 2026
- Notable cost limit
- VRUNAI itself has no usage limits, but users pay for LLM API calls to the providers they configure.checked 7 Oct 2026
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