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From copilotkit
Builds AI-powered features with CopilotKit v2: add chat interfaces, register frontend tools, share agent context, handle interrupts. Guides through client and server setup.
npx claudepluginhub copilotkit/copilotkit --plugin copilotkitHow this skill is triggered — by the user, by Claude, or both
Slash command
/copilotkit:copilotkit-developThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This plugin includes an MCP server (`copilotkit-docs`) that provides `search-docs` and `search-code` tools for querying live CopilotKit documentation and source code.
Detects framework, installs packages, wires runtime, and configures CopilotKit provider for first chat integration. Use when adding CopilotKit to a React-based project or starting a new one.
Provides expert guidance on Vercel AI SDK for building AI features like chat interfaces, text generation, structured output, tool calling, agents, streaming, embeddings, reranking, image generation, and LLM providers.
Provides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Share bugs, ideas, or general feedback.
This plugin includes an MCP server (copilotkit-docs) that provides search-docs and search-code tools for querying live CopilotKit documentation and source code.
.mcp.json -- no setup needed.CopilotKit v2 is built on the AG-UI protocol (@ag-ui/client / @ag-ui/core). The stack has three layers:
@copilotkit/runtime) -- Server-side. Hosts agents, handles SSE/Intelligence transport, middleware, transcription.@copilotkit/core) -- Shared state management, tool registry, suggestion engine. Not imported directly by apps.@copilotkit/react) -- Provider, chat components, hooks. Re-exports everything from @ag-ui/client so apps need only one import.Create a CopilotRuntime (or the explicit CopilotSseRuntime / CopilotIntelligenceRuntime) and expose it via createCopilotEndpoint (Hono) or createCopilotEndpointExpress (Express).
import { CopilotRuntime, createCopilotEndpoint } from "@copilotkit/runtime";
import { LangGraphAgent } from "@ag-ui/langgraph";
const runtime = new CopilotRuntime({
agents: {
myAgent: new LangGraphAgent({
/* ... */
}),
},
});
const app = createCopilotEndpoint({
runtime,
basePath: "/api/copilotkit",
});
import { CopilotKitProvider } from "@copilotkit/react";
function App() {
return (
<CopilotKitProvider runtimeUrl="/api/copilotkit">
<YourApp />
</CopilotKitProvider>
);
}
Use <CopilotChat>, <CopilotPopup>, or <CopilotSidebar>:
import { CopilotChat } from "@copilotkit/react";
function ChatPage() {
return <CopilotChat agentId="myAgent" />;
}
Let the agent call functions in the browser:
import { useFrontendTool } from "@copilotkit/react";
import { z } from "zod";
useFrontendTool({
name: "highlightCell",
description: "Highlight a spreadsheet cell",
parameters: z.object({ row: z.number(), col: z.number() }),
handler: async ({ row, col }) => {
highlightCell(row, col);
return "done";
},
});
Provide runtime data to the agent:
import { useAgentContext } from "@copilotkit/react";
useAgentContext({
description: "The user's current shopping cart",
value: cart, // any JSON-serializable value
});
When an agent pauses for human input:
import { useInterrupt } from "@copilotkit/react";
useInterrupt({
render: ({ event, resolve }) => (
<div>
<p>{event.value.question}</p>
<button onClick={() => resolve({ approved: true })}>Approve</button>
</div>
),
});
Show custom UI when tools execute:
import { useRenderTool } from "@copilotkit/react";
import { z } from "zod";
useRenderTool(
{
name: "searchDocs",
parameters: z.object({ query: z.string() }),
render: ({ status, parameters, result }) => {
if (status === "executing")
return <Spinner>Searching {parameters.query}...</Spinner>;
if (status === "complete") return <Results data={result} />;
return <div>Preparing...</div>;
},
},
[],
);
| Hook | Purpose |
|---|---|
useFrontendTool | Register a tool the agent can call in the browser |
useComponent | Register a React component as a chat-rendered tool (convenience wrapper around useFrontendTool) |
useAgentContext | Share JSON-serializable application state with the agent |
useAgent | Get the AbstractAgent instance for an agent ID; subscribe to message/state/run-status changes |
useInterrupt | Handle on_interrupt events from agents with render + optional handler/filter |
useHumanInTheLoop | Register a tool that pauses execution until the user responds via a rendered UI |
useRenderTool | Register a renderer for tool calls (by name or wildcard "*") |
useDefaultRenderTool | Register a wildcard "*" renderer using the built-in expandable card UI |
useRenderToolCall | Internal hook returning a function to resolve the correct renderer for a given tool call |
useRenderActivityMessage | Internal hook for rendering activity messages by type |
useRenderCustomMessages | Internal hook for rendering custom message decorators |
useSuggestions | Read the current suggestion list and control reload/clear |
useConfigureSuggestions | Register static or dynamic (LLM-generated) suggestion configs |
useThreads | List, rename, archive, and delete Intelligence platform threads |
| Component | Purpose |
|---|---|
CopilotKitProvider | Root provider -- configures runtime URL, headers, agents, error handler |
CopilotChat | Full chat interface connected to an agent (inline layout) |
CopilotPopup | Chat in a floating popup with toggle button |
CopilotSidebar | Chat in a collapsible sidebar with toggle button |
CopilotChatView | Headless chat view with slots for message view, input, scroll, suggestions |
CopilotChatInput | Chat input textarea with send/stop/transcribe controls |
CopilotChatMessageView | Renders the message list |
CopilotChatSuggestionView | Renders suggestion pills |
| Export | Purpose |
|---|---|
CopilotRuntime | Auto-detecting runtime (delegates to SSE or Intelligence) |
CopilotSseRuntime | Explicit SSE-mode runtime |
CopilotIntelligenceRuntime | Intelligence-mode runtime with durable threads |
createCopilotEndpoint | Create a Hono app with all CopilotKit routes |
createCopilotEndpointExpress | Create an Express router with all CopilotKit routes |
CopilotKitIntelligence | Intelligence platform client configuration |