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Embedded Agents: Take Your Agent Anywhere With One Line of Code

Embedded Agents: Take Your Agent Anywhere With One Line of Code

You've built the agent. It connects to your data, answers questions in natural language, runs queries, surfaces anomalies. It works.

But it lives in another app. Somewhere else.

Their CRM. Their internal portal. Their customer-facing app. Every time they need an answer, they have to leave, open another tab, and go find it. That friction is small. But it adds up, and most of the time, they just don't bother.

Embedded Agents

You can now take any agent you've built on top of your lakehouse and drop it directly into your own app, website, or third-party tool, with a single line of code.

The embedded agent connects to the same data sources, tools, and model configuration you set up in Datazone. Your users get the full conversational experience without ever leaving your product. No separate login. No context switching. The intelligence lives where the work happens.

Three widget styles to fit how your product works

  • Full — renders inline, filling a container you define. Best for dedicated agent pages.
  • Bot — a floating chat bubble in the corner that expands into a conversation window. Best for support-style assistants.
  • Drawer — a slide-in panel from the right edge of the screen. Best for contextual, on-demand queries without interrupting the current view.
Full, Bot, and Drawer embedded agent widget styles

The setup is straightforward. You just need to add one line of code into your codebase. Done.

The secret key never touches the browser, everything is signed server-side, so your data stays secure and your users only see what they're supposed to.

What this opens up

  • A support team embeds an agent into their customer portal. Users ask questions about their orders, contracts, or account history, and get answers instantly, without a ticket.
  • A manufacturing ops team drops an agent into their internal dashboard. Shift supervisors query production line performance in plain language, right where they're already working.
  • A SaaS company adds a data assistant to their product. Their customers get self-serve analytics without the company building a query engine from scratch.

The agent you build once now works everywhere your users are.

Head to any agent in Datazone, open the Embedding tab, and generate your signed snippet.

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