AG Studio includes a conversational AI assistant that builds and edits dashboards from natural language. It queries data, plans layouts, creates widgets, and configures them in response to users requests.
You Bring the LLM Copy Link
AG Studio ships the AI machinery: the chat panel, the agents, and the tools that act on the dashboard. It does not ship a model. AG Grid has not built, trained, or hosted an LLM; the intelligence comes entirely from a provider you connect.
Because the model is yours:
- Connect any provider. Implement the
AgAiAssistantadapter to connect OpenAI, Anthropic, Claude, or a model on your own infrastructure. The interface follows the shape of the OpenAI API; a provider with a different shape, such as AWS Bedrock, is handled by translation in your adapter. - Your data stays between you and your provider. Prompts go directly from your application to the LLM you connect, under that provider's terms. AG Grid is never in the data flow - no calls pass through us, and we have no visibility into your conversations.
- No per query cost from AG Grid. You pay only your LLM provider, on their pricing, for usage.
- Off until you opt in. The AI module is not loaded by default - the panel appears only once you register it and connect a provider. Studio is fully functional without it, and removing the module turns it off.
Choose Your Path Copy Link
There are three ways to integrate AI, from turnkey to fully custom. They are alternatives - pick the one that matches how much control you need. The first two run on Studio's built-in runtime, where Studio drives the agent loop and you connect your LLM with an adapter. The Toolkit path you drive yourself.
Out of the Box
Register the module, connect an adapter, and use Studio's default agents and chat panel as they ship. The fastest route to a working assistant.
Custom Agents
Keep the built-in runtime but reshape the agents it runs - their instructions, tools, and delegation - or add agents of your own.
Toolkit
Drive your own agent loop or application logic, using Studio's actions as tools. No chat panel required, and the tightest control over what the AI can do.
Common Questions Copy Link
What is the difference between the built-in assistant and the Toolkit? The built-in assistant is the chat panel that runs Studio's default agents to act on the dashboard. The Toolkit is a developer API that exposes those same actions as standalone tools for your own AI or agentic workflow, usable without the chat panel.
How much control do I have over what the AI can do? You choose whether to load the AI module at all, which provider to connect, and - through the Toolkit - exactly which Studio actions to expose. For a strict read-only or tightly scoped integration, the Toolkit gives the most control, because you decide which tools exist.
Can I use my own AI orchestration or agent framework? Yes. The Toolkit exposes Studio's actions as framework-agnostic tools you can wire into your own AI interface and orchestration. Studio is also state-driven, so an app or agent can drive configuration directly without the chat panel.
Does Studio support natural-language querying for end users? No. The assistant targets the dashboard-building experience, not end-user data Q&A. Your own natural-language query layer can sit alongside Studio, but one is not built in.
See It in Action Copy Link
The example below loads an empty dashboard with sales data from a fictional retailer - sales, orders, and products across regions, segments, and categories. Try a prompt to see the assistant work:
CopyAdd bar charts showing the best performing stores and regions in terms of sales.CopyAdd a table listing customers, region, segment, net sales and number of orders.CopyBuild a line chart showing daily sales over time.