---
title: "First CLI, Docker sandboxing, and web dashboard"
date: "2026-02-23"
---

## Fabro CLI

Run AI workflows from the command line with `fabro run start`, validate DOT workflow definitions with `fabro validate`, and step through dry-runs to test logic before committing real LLM calls.

```bash
fabro run start spec-dod-multimodel.fabro
fabro validate my-workflow.fabro
fabro run start --dry-run my-workflow.fabro
```

The CLI streams LLM responses in real time and supports interactive tool approval — each tool call pauses for you to approve or reject via arrow-key prompts, giving fine-grained control over what the agent does.

## Docker sandboxing

Agent tool execution can now run inside Docker containers, so workflows can safely run shell commands, edit files, and install dependencies without affecting your host machine.

```bash
fabro run start --docker my-workflow.fabro
```

The container is shared across all stages in a run, so tools have access to the same filesystem throughout the workflow.

## Web dashboard

A pipeline kanban board shows all active runs with their status, progress, and any pending human-in-the-loop prompts. Watch workflows execute in real time from the browser.

## More

<Accordion title="CLI">
- Color-coded terminal output with ANSI styling makes it easier to follow agent activity
- Use `--output-format json` for NDJSON event streaming into CI/CD pipelines or custom dashboards
</Accordion>

<Accordion title="Improvements">
- Ships with Claude Opus 4.6 (1M context window) as the default Anthropic model and Gemini 3.1 Pro Preview as the default Gemini model
- Anthropic models use adaptive thinking by default for deeper reasoning on complex tasks
</Accordion>