Benjamin Taylor
475002e49d
The canary pin existed for one reason: createChannel's identifyUser was absent from stable, and the pin carried a note that it must not reach users as-is. Stable has caught up -- @copilotkit/* 1.65.0 and @copilotkit/channels 0.6.0 -- so the workaround goes. This is not only hygiene. The runtime validates each delivery with an exact field set, so a client and a server that disagree fail in BOTH directions: a client expecting a field the server omits, and equally a client receiving one it does not expect. Now that every Intelligence environment sends the prepared turn's messageRef, pinning back to an older stable would break exactly as hard as staying on a canary would have before. 0.6.0 expects it, which is what makes it the correct pin rather than merely a newer one. Verified before committing: channels-intelligence@0.6.0 requires messageRef on a text turn, channels-core@0.6.0 carries identifyUser, and channels@0.6.0 pins its subpackages exactly rather than by range, so there is no internal skew. The reference starter installs, typechecks its channel host, and builds. Its one remaining tsc error is a pre-existing recharts type mismatch, untouched here. langgraph-fastapi is included: it does not ship a host, but this branch pinned it to the canary, so it cannot be left there.
CopilotKit <> LangGraph Starter
This is a starter template for building AI agents using LangGraph and CopilotKit. It provides a modern Next.js application with an integrated LangGraph agent to be built on top of.
Prerequisites
- Node.js 18+
- Python 3.8+
- Poetry 2+
- Any of the following package managers:
- OpenAI API Key (for the LangGraph agent)
Getting Started
- Install dependencies using your preferred package manager:
# Using npm (default)
npm install
# Using pnpm
pnpm install
# Using yarn
yarn install
# Using bun
bun install
- Install Python dependencies for the LangGraph agent:
# Using npm (default)
npm run install:agent
# Using pnpm
pnpm install:agent
# Using yarn
yarn install:agent
# Using bun
bun run install:agent
- Set up your OpenAI API key:
echo 'OPENAI_API_KEY=your-openai-api-key-here' > agent/.env
- Start the development server:
# Using npm (default)
npm run dev
# Using pnpm
pnpm dev
# Using yarn
yarn dev
# Using bun
bun run dev
This will start both the UI and agent servers concurrently.
Available Scripts
The following scripts can also be run using your preferred package manager:
dev- Starts both UI and agent servers in development modedev:debug- Starts development servers with debug logging enableddev:ui- Starts only the Next.js UI serverdev:agent- Starts only the LangGraph agent serverbuild- Builds the Next.js application for productionstart- Starts the production serverinstall:agent- Installs Python dependencies for the agent
Documentation
The main UI component is in src/app/page.tsx. You can:
- Modify the theme colors and styling
- Add new frontend actions
- Customize the CopilotKit sidebar appearance
📚 Documentation
- LangGraph Documentation - Learn more about LangGraph and its features
- CopilotKit Documentation - Explore CopilotKit's capabilities
- Next.js Documentation - Learn about Next.js features and API
- YFinance Documentation - Financial data tools
Contributing
Feel free to submit issues and enhancement requests! This starter is designed to be easily extensible.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Troubleshooting
Agent Connection Issues
If you see "I'm having trouble connecting to my tools", make sure:
- The LangGraph agent is running on port 8000
- Your OpenAI API key is set correctly
- Both servers started successfully
Python Dependencies
If you encounter Python import errors:
cd agent
poetry lock && poetry install