Route AI tasks from an app interface into its agent chat, where users can see and steer research, generation, and multi-step workflows. Keep direct app operations focused and let the agent coordinate the work.
Route user-facing AI work through the app's agent chat. Use when adding an AI-powered button, workflow, research task, generation flow, or follow-up.
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Use the agent chat for work that needs AI reasoning, research, generation, or multi-step decisions. Keep app actions deterministic; let the agent orchestrate them so the user can see and steer the work.
Call sendToAgentChat() from the UI and open the AgentSidebar for user-initiated
work:
import { sendToAgentChat } from "@agent-native/core/client/agent-chat";
sendToAgentChat({
message: userRequest,
context: JSON.stringify({ documentId }),
submit: true,
openSidebar: true,
});
Keep the user's request in message. Put only concise supporting context—such
as a selected record id, current view, or bounded excerpt—in context. Use
attachments or image fields for files and visuals; do not serialize full
records or credentials into a prompt. The agent should read private or large
data through the app's authorized actions.
Use submit: true when a clear user action already states the intent. Use
submit: false to open the composer with a prefill when the user should review
or complete the request. Do not auto-submit a generic generation prompt before
the user has supplied the request.
Reserve background: true with openSidebar: false for work the product
intentionally runs silently, such as a system-initiated task. A button that
asks the user to do AI work should open the sidebar.
completeText(), or AI SDK generation
functions from app UI, actions, or server helpers. Do not make an action a
hidden second agent.actions — define deterministic operations shared by the UI and agent.context-awareness — provide navigation and selected-record context.No reviews yet. Tell others what you thought.
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