TypeScript SDK for Grafana plugins
The @grafana/assistant package provides a lightweight TypeScript SDK for integrating Grafana Assistant into your Grafana plugins and applications.
What you’ll achieve
This article helps you integrate the Assistant into your plugin UI in a few targeted ways:
- Check availability: Detect whether the Assistant is available before rendering UI.
- Open the Assistant: Trigger the Assistant with prompts and context.
- Use React hooks: Work with Assistant state and actions in components.
- Use UI components: Add prebuilt buttons and prompt cards that open the Assistant.
- Generate inline content: Add AI-powered text inputs and text areas to forms.
- Register page context: Provide dashboard, data source, or structured context.
- Update context dynamically: Adjust context in response to user actions.
Before you begin
Make sure you have the following:
- A Grafana deployment with the Grafana Assistant app installed and enabled. This can be a Grafana Cloud stack or a self-managed Grafana instance connected to a Grafana Cloud Assistant backend.
- An existing Grafana plugin or app project to integrate with.
- Node.js 22 and npm installed locally.
- Access to install the
@grafana/assistantpackage from npm.
When to use the TypeScript SDK
Use the TypeScript SDK when:
- Building Grafana plugins or extensions
- Adding AI assistance to custom Grafana apps
- Integrating Assistant features into Grafana UI workflows
- Creating context-aware help experiences based on page location
Install the SDK
Install the package from npm:
npm install @grafana/assistantThe package contains TypeScript type definitions, helper functions, hooks, and UI components for Grafana plugin code.
Create and monitor investigations
Use createInvestigation, getInvestigationStatus, and getInvestigationReport from a Grafana plugin to start an investigation, read its lifecycle state, and retrieve its report. They call the public-preview investigation HTTP API through Grafana’s plugin proxy as the signed-in user. Your backend must expose the v2 investigation routes.
import { createInvestigation, getInvestigationStatus, getInvestigationReport } from '@grafana/assistant';
async function startInvestigation(signal: AbortSignal) {
return createInvestigation({ instruction: 'Investigate elevated API latency' }, { signal });
}
async function readInvestigation(investigationId: string, signal: AbortSignal) {
const status = await getInvestigationStatus(investigationId, { signal });
const report = status.state === 'completed'
? await getInvestigationReport(investigationId, { signal })
: undefined;
return { status, report };
}Start from an explicit user action and retain the returned investigationId for reads. The separate chatId identifies the backing conversation. Each method unwraps and validates one response. The caller owns error handling, polling intervals, and deadlines; there are no automatic retries or error notifications. Aborting a request doesn’t cancel server-side work, so don’t retry creation automatically after an ambiguous failure.
Use state to track progress. Stop ordinary polling for completed, failed, or cancelled; paused needs intervention. Handle unknown or absent states with a deadline. Report fields are optional even when reportPending is false, and a snapshot can return 404 before the session starts. HTTP errors preserve Grafana’s FetchError contract; malformed responses reject with a validation error.
Refer to Create and monitor investigations in the Integration hub and the SDK README for the full method contract. Use the HTTP reference for server-side authentication and team visibility. Never put service account tokens in browser code. Use observeInvestigation below for live updates.
The separate useInvestigationThroughLens hook derives a structured view from an existing report using a JSON Schema. Refer to Structured investigation views (lens) in the Integration hub for an example.
Observe live progress
observeInvestigation(investigationId) returns an RxJS Observable<InvestigationEvent>. It emits a current status snapshot, available persisted report snapshots, and best-effort live text progress events. Each subscription opens its own authenticated event stream and periodically refreshes persisted state.
import { observeInvestigation, type InvestigationEvent } from '@grafana/assistant';
// Pass your UI's update, error, and completion handlers.
function watchInvestigation(
investigationId: string,
onEvent: (event: InvestigationEvent) => void,
onError: (error: unknown) => void,
onComplete: () => void,
) {
const subscription = observeInvestigation(investigationId).subscribe({
next: onEvent,
error: onError,
complete: onComplete,
});
// Call when leaving the view. The investigation keeps running.
return () => subscription.unsubscribe();
}Handle events by event.type: read event.status for lifecycle changes, event.report for persisted report updates, and append event.delta by (event.messageId, event.contentIndex) for live text. Report snapshots can lag in-flight report edits. Text emitted before connection or during a disconnect is not replayed.
The Observable completes after a terminal investigation state (completed, failed, or cancelled) and a report check with no pending report. A terminal investigation may have no report. Paused investigations remain observable. Investigation failure is a status event; transport or validation failure goes to error and closes the subscription. There is no automatic reconnect. Subscribe again to recover current snapshots, and handle errors in your UI.
Unsubscribe when leaving the view to close the connection and abort pending reads. This stops observation only; the investigation keeps running. Refer to the SDK README for event payloads and connection behavior.
Extend the Assistant UI
To add conversation starters, expanded tool details, inline reply components, or artifact renderers from your app plugin, refer to Extend Assistant from an app plugin. The extension manifest API is experimental and requires enablement in your Assistant environment.
Key capabilities
Use these capabilities to integrate Assistant entry points and context into your plugin:
Check availability
Detect if the Assistant is available in the current environment before showing UI elements:
import { isAssistantAvailable } from '@grafana/assistant';
import { firstValueFrom } from 'rxjs';
async function checkAvailability() {
const available = await firstValueFrom(isAssistantAvailable());
console.log('Assistant available:', available);
}Open the Assistant programmatically
Open the Assistant with custom prompts and context from your code:
import { openAssistant } from '@grafana/assistant';
openAssistant({
origin: 'grafana/my-plugin',
prompt: 'Show me CPU usage over the last hour',
autoSend: true,
});Parameters:
origin(required): Namespace identifying your plugin (e.g.,grafana/my-plugin/feature)prompt(optional): Pre-filled prompt textautoSend(optional): Automatically send the prompt when openingcontext(optional): Additional context items (dashboards, datasources, structured data)
Use React hooks
Use the useAssistant() hook for reactive integration in React components:
import { useAssistant } from '@grafana/assistant';
export function MyComponent() {
const { isLoading, isAvailable, openAssistant, closeAssistant } = useAssistant();
if (isLoading || !isAvailable) {
return null;
}
return (
<button onClick={() => openAssistant?.({
origin: 'grafana/my-plugin',
prompt: 'Help me analyze this data'
})}>
Ask Assistant
</button>
);
}Use UI components
Use the OpenAssistantButton component for drop-in integration:
import { OpenAssistantButton } from '@grafana/assistant';
export function MyComponent() {
return (
<OpenAssistantButton
prompt="Analyze this dashboard"
origin="grafana/my-plugin/dashboard"
/>
);
}The button automatically hides when the Assistant is unavailable.
Add query-editor assistance
Use QueryWithAssistantButton in data source query editors. The component passes the selected data source, current query, and other non-empty queries to Assistant:
import { CoreApp } from '@grafana/data';
import { QueryWithAssistantButton } from '@grafana/assistant';
export function QueryEditorActions() {
return (
<QueryWithAssistantButton
currentQuery={query}
queries={queries}
dataSourceInstanceSettings={dataSourceInstanceSettings}
datasourceApi={datasourceApi}
app={CoreApp.Explore}
title="Query with Assistant"
/>
);
}The component opens Assistant with a prompt to create or update a query and automatically hides when Assistant is unavailable.
Add a prompt card
Use AssistantPromptCard to embed an Assistant prompt entry point in a plugin surface:
import { AssistantPromptCard, createAssistantContextItem } from '@grafana/assistant';
const context = [
createAssistantContextItem('dashboard', {
dashboardUid: 'abc123',
dashboardTitle: 'Service health',
}),
];
export function AssistantEntryPoint() {
return (
<AssistantPromptCard
origin="grafana/my-plugin/dashboard"
context={context}
mode="dashboarding"
placeholder="Ask Assistant about this dashboard"
examplePrompts={[
'Find panels with high error rates',
'Suggest dashboard improvements',
]}
/>
);
}The prompt card opens Assistant with the user’s typed prompt and provided context. It renders nothing when Assistant is unavailable.
Generate inline form content
Use AITextInput and AITextArea when you want Assistant to generate content inside an existing form instead of opening the Assistant sidebar. These components are controlled inputs and call your onChange handler as generated text is applied.
import { AITextInput, AITextArea } from '@grafana/assistant';
import { useState } from 'react';
export function PanelMetadataEditor() {
const [title, setTitle] = useState('');
const [description, setDescription] = useState('');
return (
<>
<AITextInput
value={title}
onChange={setTitle}
origin="grafana/my-plugin/panel-title"
systemPrompt="Generate a concise panel title. Return only the title text."
placeholder="Ask AI to generate a title"
autoGenerate
streaming
/>
<AITextArea
value={description}
onChange={setDescription}
origin="grafana/my-plugin/panel-description"
systemPrompt="Generate a clear panel description in 2 sentences."
getUserPrompt={(text) => `Write a panel description using this context: ${text}`}
rows={4}
streaming
/>
</>
);
}Use autoGenerate to generate once on mount when the value is empty, streaming to stream generated text into the input, and getUserPrompt to transform the user’s input into the prompt sent to Assistant.
Register page context
Automatically provide context to the Assistant based on the current URL:
import { providePageContext, createAssistantContextItem } from '@grafana/assistant';
// Register context for dashboard pages
const dashboardContext = createAssistantContextItem('structured', {
data: {
name: 'Dashboard Context',
pageType: 'dashboard',
capabilities: ['analyze', 'troubleshoot', 'optimize'],
help: 'I can help you analyze dashboard data and optimize performance.',
},
});
// Register for all dashboard URLs
providePageContext('/d/*', [dashboardContext]);URL pattern matching:
- Wildcards:
/d/*matches/d/abc - Glob patterns:
/explore**matches/exploreand all subpaths - Regex:
/^\/datasources\/edit\/[^\/]+$/for complex patterns
Update context dynamically
Update context as users interact with your application:
const setContext = providePageContext('/d/*', [dashboardContext]);
// Update when user selects a panel
function onPanelSelect(panelId: string, panelTitle: string) {
const panelContext = createAssistantContextItem('structured', {
data: {
name: 'Selected Panel',
panelId,
panelTitle,
actions: ['edit', 'duplicate', 'inspect'],
},
});
setContext([dashboardContext, panelContext]);
}Choose context item types
Use context items to provide relevant information to the Assistant. The SDK supports three context types:
Dashboard context
Provide the current dashboard to give the Assistant page awareness:
createAssistantContextItem('dashboard', {
dashboardUid: 'abc123',
dashboardTitle: 'My Dashboard',
});Data source context
Provide the active data source to scope Assistant suggestions:
createAssistantContextItem('datasource', {
datasourceUid: 'prom-123',
});Structured data context
Provide arbitrary JSON to describe custom state or metadata:
createAssistantContextItem('structured', {
data: {
// Any JSON-serializable data
name: 'Custom Context',
metadata: { ... }
}
})All context item helpers accept bypassLimits. Use bypassLimits: true only for fixed-size static content such as bounded metadata, static instructions, or small configuration objects. Keep the default for query results, logs, user-generated content, or any content that can grow unexpectedly.
Try interactive examples
Explore interactive, working examples in Grafana Assistant:
- Open Grafana Assistant from the main navigation
- Click Integration hub
- Explore the TypeScript SDK section with:
- Live code examples you can modify and test
- Complete working samples for each API
- Copy-to-clipboard code snippets
- Interactive forms to try different parameters
Next steps
Continue by exploring these resources:
- Open Grafana Assistant and click Integration hub to try interactive SDK examples
- View the package on npm
- Learn about Grafana plugin development


