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Scene Creator - CopilotKit + LangGraph + Gemini 3 Demo
A demo app showcasing CopilotKit integration with LangGraph and Google's Gemini 3 models. Generate AI-powered scenes by creating characters, backgrounds, and combining them together.
https://github.com/user-attachments/assets/3c60c2b8-5ccd-42f0-817f-0e5e22398a48
What This Demo Shows
- CopilotKit + LangGraph Integration - Connect a Python LangGraph agent to a Next.js frontend
- Shared State Pattern - Bidirectional state sync between frontend and agent
- Human-in-the-Loop (HITL) - Approve/reject AI actions before execution
- Generative UI - Real-time tool execution feedback in chat
- Dynamic API Keys - Pass API keys from frontend to agent at runtime
- Image Generation - Using Gemini 3 and Nano Banana (gemini-2.5-flash-image)
Demo Features
| Feature | Description |
|---|---|
| Character Generation | Create characters with AI-generated images |
| Background Generation | Generate environments and scenes |
| Scene Composition | Combine characters and backgrounds |
| Image Editing | Modify generated images with natural language |
| HITL Approval | Review and approve image prompts before generation |
Quick Start
Prerequisites
- Node.js 18+
- Python 3.10+
- Google AI API Key (get one here)
Setup
# 1. Install dependencies
npm install
# 2. Set up your API key
echo 'GOOGLE_API_KEY=your-key-here' > agent/.env
# 3. Start the app
npm run dev
Open http://localhost:3000 and start creating!
Project Structure
├── src/
│ ├── app/
│ │ ├── page.tsx # Main UI with CopilotKit integration
│ │ └── api/copilotkit/ # CopilotKit API route
│ ├── components/
│ │ ├── ArtifactPanel.tsx # Display generated artifacts
│ │ ├── ApiKeyInput.tsx # Dynamic API key management
│ │ └── CustomChatInput.tsx
│ └── lib/
│ └── types.ts # Shared TypeScript types
├── agent/
│ ├── agent.py # LangGraph agent with tools
│ ├── server.py # Custom routes (static files)
│ └── langgraph.json # LangGraph configuration
Key CopilotKit Patterns
1. Shared State (Frontend ↔ Agent)
// Frontend: src/app/page.tsx
const { state, setState } = useCoAgent<AgentState>({
name: "sample_agent",
initialState: { characters: [], backgrounds: [], scenes: [] },
});
// Update state from frontend
setState((prev) => ({ ...prev, apiKey: newKey }));
# Agent: agent/agent.py
class AgentState(MessagesState):
characters: List[dict] = []
backgrounds: List[dict] = []
scenes: List[dict] = []
apiKey: str = ""
# Read state in agent
api_key = state.get("apiKey", "")
2. Human-in-the-Loop (HITL)
// Frontend: Enable HITL for specific tool
useCopilotAction({
name: "approve_image_prompt",
disabled: true, // Agent calls this, not user
handler: async ({ prompt }) => {
// Show approval UI, return approved/rejected
},
});
3. Generative UI
// Show real-time tool progress
useCopilotAction({
name: "create_character",
render: ({ status, result }) => (
<ToolCard status={status} result={result} />
),
});
4. LangGraph Agent Tools
# agent/agent.py
@tool
async def create_character(
name: str,
description: str,
prompt: str,
state: Annotated[dict, InjectedState] # Access shared state
) -> dict:
api_key = state.get("apiKey", "")
image_url = await generate_image(prompt, api_key=api_key)
return {"name": name, "description": description, "imageUrl": image_url}
Deployment
Deploy the agent to Railway:
cd agent
railway link
railway up
railway variables --set "AGENT_URL=https://your-app.up.railway.app"
railway variables --set "GOOGLE_API_KEY=your-key"
See agent/DEPLOY.md for detailed deployment guide.
Tech Stack
| Layer | Technology |
|---|---|
| Frontend | Next.js 16, React 19, Tailwind CSS 4 |
| AI Integration | CopilotKit 1.10.6 |
| Agent | Python, LangGraph 0.6.6 |
| LLM | Gemini 3 Pro Preview |
| Image Gen | Nano Banana (gemini-2.5-flash-image) |
Learn More
- CopilotKit Docs - Full CopilotKit documentation
- LangGraph + CopilotKit Guide - Integration guide
- Shared State Pattern - State synchronization
License
MIT
Built by Mark Morgan