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How to prototype data dashboards that answer questions with charts and tables with Open Intelligent UI

Open the dev-only gallery to see two dashboards over demo data, then adapt them to your own data.

Who it is forAn analyst or developer who wants a chat answer that shows a chart and table over business data instead of a text summary.

The problemStakeholders ask data questions and get text, when a live chart and sortable table would answer faster.

The outcomeA working set of dashboard programs in the gallery, plus a clear path to swap the demo data tools for your own source.

What you need first

  • Node 24
  • An OpenUI Cloud (Gateway) key in THESYS_API_KEY, or any OpenAI-compatible API key set through LLM_BASE_URL, LLM_API_KEY and LLM_MODEL
  • Optional: Ollama and enough memory for a local model (the README recommends 32 GB or more for the default)

Steps

  1. Run npm install and npm run dev after copying .env.example to .env and setting THESYS_API_KEY
  2. Open http://localhost:3000/gallery to view the two dashboards over demo data
  3. Read src/lib/demo-data.ts for the get_orders, get_tickets and get_traffic tools and their specs
  4. Replace one demo tool with a function that returns your own rows in the same shape, then rerun the dashboard (inferred, check the README)

Prompt for your agent

In the thesysdev/open-intelligent-ui repo, read src/lib/demo-data.ts and src/app/gallery/tool-programs.ts. Summarize how get_orders feeds a dashboard, and name the Chart types and @functions (such as @GroupBy or @Pivot) the dashboard uses. Verify by opening /gallery after npm run dev.

Caveat. The gallery dashboards run on demo data only, so connecting real business data needs your own tool code that the README does not describe.

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