# CoAgents Research Canvas Example

This example demonstrates a research canvas UI.

**Live demo:** https://copilotkit.ai/examples/canvas-research

Tutorial Video:

[![IMAGE ALT TEXT](http://img.youtube.com/vi/0b6BVqPwqA0/0.jpg)](http://www.youtube.com/watch?v=0b6BVqPwqA0 "Build Agent-Native Apps with LangGraph & CoAgents (tutorial)")

---

## Running the Agent

**These instructions assume you are in the `coagents-research-canvas/` directory**

## Running the Agent

First, install the backend dependencies:

### Python SDK

```sh
cd agent-py
poetry install
```

### JS-SDK

```sh
cd agent-js
pnpm install
```

Then, create a `.env` file inside `./agent-py` or `./agent-js` with the following:

```
OPENAI_API_KEY=...
TAVILY_API_KEY=...
LANGSMITH_API_KEY=...(JS ONLY)
```

⚠️ IMPORTANT:
Make sure the OpenAI API Key you provide, supports gpt-4o.

Then, run the demo:

### Python

```sh
poetry run demo
```

## Running the UI

First, install the dependencies:

```sh
cd ./ui
pnpm i
```

Then, create a `.env` file inside `./ui` with the following:

```
OPENAI_API_KEY=...
```

Then, run the Next.js project:

```sh
pnpm run dev
```

⚠️ IMPORTANT:
If you're using the JS agent, follow the steps and uncomment the code inside the `app/api/copilotkit/route.ts`, `remoteEndpoints` action:

```ts
//const runtime = new CopilotRuntime({
// remoteEndpoints: [
// Uncomment this if you want to use LangGraph JS, make sure to
// remove the remote action url below too.
//
// langGraphPlatformEndpoint({
//   deploymentUrl: "http://localhost:8123",
//   langsmithApiKey: process.env.LANGSMITH_API_KEY || "", // only used in LangGraph Platform deployments
//   agents: [{
//       name: "research_agentt",
//       description: "Research agent"
//   }]
// }),
// ],
//});
```

**Next for JS run these commands:**

- Run this command to start your LangGraph server `npx @langchain/langgraph-cli dev --host localhost --port 8123`
- Run this command to connect your Copilot Cloud Tunnel to the LangGraph server `npx copilotkit@latest dev --port 8123`

## Usage

Navigate to [http://localhost:3000](http://localhost:3000).

# LangGraph Studio

Run LangGraph studio, then load the `./agent-py` folder into it.

# Troubleshooting

A few things to try if you are running into trouble:

1. Make sure there is no other local application server running on the 8000 port.
2. Under `/agent/research_canvas/demo.py`, change `0.0.0.0` to `127.0.0.1` or to `localhost`