agent docker
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30
.gitea/workflows/build-push-agent.yaml
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30
.gitea/workflows/build-push-agent.yaml
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name: Build and Push Agent Docker Image
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on:
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push:
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branches:
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- main
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Login to Gitea Container Registry
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uses: docker/login-action@v3
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with:
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registry: git.seaturtle.pw
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username: ${{ gitea.actor }}
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password: ${{ secrets.ACTIONS_PUSH_TOKEN }}
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Build and push
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uses: docker/build-push-action@v6
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with:
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context: ./web/agent
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push: true
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tags: git.seaturtle.pw/cavepedia/cavepediav2-agent:latest
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177
web/README.md
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web/README.md
@@ -1,109 +1,122 @@
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# CopilotKit <> LangGraph Starter
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# Cavepedia Web
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### Referenes
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https://github.com/auth0/nextjs-auth0/blob/main/EXAMPLES.md
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Next.js frontend with integrated LangGraph agent for Cavepedia.
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## Project Structure
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This is a starter template for building AI agents using [LangGraph](https://www.langchain.com/langgraph) and [CopilotKit](https://copilotkit.ai). It provides a modern Next.js application with an integrated LangGraph agent to be built on top of.
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```
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web/
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├── src/ # Next.js application
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├── agent/ # LangGraph agent (Python)
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│ ├── main.py # Agent graph definition
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│ ├── langgraph.json
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│ ├── pyproject.toml
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│ └── Dockerfile # Production container
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└── ...
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```
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## Prerequisites
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- Node.js 18+
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- Python 3.8+
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- Any of the following package managers:
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- [pnpm](https://pnpm.io/installation) (recommended)
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- npm
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- [yarn](https://classic.yarnpkg.com/lang/en/docs/install/#mac-stable)
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- [bun](https://bun.sh/)
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- Anthropic API Key (for the LangGraph agent)
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- Node.js 18+
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- Python 3.12+
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- [pnpm](https://pnpm.io/installation) (recommended) or npm/yarn/bun
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- Google AI API Key (for the LangGraph agent)
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> **Note:** This repository ignores lock files (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb) to avoid conflicts between different package managers. Each developer should generate their own lock file using their preferred package manager. After that, make sure to delete it from the .gitignore.
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## Development
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## Getting Started
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### 1. Install dependencies
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1. Install dependencies using your preferred package manager:
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```bash
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# Using pnpm (recommended)
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pnpm install
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# Using npm
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npm install
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# Using yarn
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yarn install
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# Using bun
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bun install
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```
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> **Note:** Installing the package dependencies will also install the agent's python dependencies via the `install:agent` script.
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This also installs the agent's Python dependencies via the `install:agent` script.
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### 2. Set up environment variables
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2. Set up your Anthropic API key:
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```bash
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echo 'ANTHROPIC_API_KEY=your-anthropic-api-key-here' > agent/.env
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# Agent environment
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cp agent/.env.example agent/.env
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# Edit agent/.env with your API keys
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```
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3. Start the development server:
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### 3. Start development servers
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```bash
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# Using pnpm
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pnpm dev
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# Using npm
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npm run dev
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# Using yarn
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yarn dev
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# Using bun
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bun run dev
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```
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This will start both the UI and agent servers concurrently.
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This starts both the Next.js UI and LangGraph agent servers concurrently.
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## Agent Deployment
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The agent is containerized for production deployment using the official LangGraph API server image.
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### Building the Docker image
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```bash
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cd agent
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docker build -t cavepediav2-agent .
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```
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### Running in production
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The agent requires PostgreSQL and Redis for persistence and pub/sub:
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```bash
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docker run \
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-p 8123:8000 \
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-e REDIS_URI="redis://redis:6379" \
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-e DATABASE_URI="postgres://user:pass@postgres:5432/langgraph" \
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-e GOOGLE_API_KEY="your-key" \
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-e LANGSMITH_API_KEY="your-key" \
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cavepediav2-agent
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```
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Or use Docker Compose with the required services:
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```yaml
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services:
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redis:
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image: redis:7
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postgres:
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image: postgres:16
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environment:
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POSTGRES_DB: langgraph
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POSTGRES_USER: langgraph
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POSTGRES_PASSWORD: langgraph
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agent:
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image: git.seaturtle.pw/cavepedia/cavepediav2-agent:latest
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ports:
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- "8123:8000"
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environment:
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REDIS_URI: redis://redis:6379
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DATABASE_URI: postgres://langgraph:langgraph@postgres:5432/langgraph
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GOOGLE_API_KEY: ${GOOGLE_API_KEY}
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depends_on:
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- redis
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- postgres
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```
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### CI/CD
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The agent image is automatically built and pushed to `git.seaturtle.pw/cavepedia/cavepediav2-agent:latest` on push to `main` via Gitea Actions.
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## Available Scripts
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The following scripts can also be run using your preferred package manager:
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- `dev` - Starts both UI and agent servers in development mode
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- `dev:debug` - Starts development servers with debug logging enabled
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- `dev:ui` - Starts only the Next.js UI server
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- `dev:agent` - Starts only the LangGraph agent server
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- `build` - Builds the Next.js application for production
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- `start` - Starts the production server
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- `lint` - Runs ESLint for code linting
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- `install:agent` - Installs Python dependencies for the agent
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## Documentation
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- `dev` - Start both UI and agent servers
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- `dev:ui` - Start only Next.js
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- `dev:agent` - Start only LangGraph agent
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- `build` - Build Next.js for production
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- `start` - Start production server
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- `lint` - Run ESLint
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- `install:agent` - Install agent Python dependencies
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The main UI component is in `src/app/page.tsx`. You can:
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- Modify the theme colors and styling
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- Add new frontend actions
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- Customize the CopilotKit sidebar appearance
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## References
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## 📚 Documentation
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- [LangGraph Documentation](https://langchain-ai.github.io/langgraph/) - Learn more about LangGraph and its features
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- [CopilotKit Documentation](https://docs.copilotkit.ai) - Explore CopilotKit's capabilities
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- [Next.js Documentation](https://nextjs.org/docs) - Learn about Next.js features and API
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- [YFinance Documentation](https://pypi.org/project/yfinance/) - Financial data tools
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## Contributing
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Feel free to submit issues and enhancement requests! This starter is designed to be easily extensible.
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## License
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This project is licensed under the MIT License - see the LICENSE file for details.
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## Troubleshooting
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### Agent Connection Issues
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If you see "I'm having trouble connecting to my tools", make sure:
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1. The LangGraph agent is running on port 8000
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2. Your Anthropic API key is set correctly
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3. Both servers started successfully
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### Python Dependencies
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If you encounter Python import errors:
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```bash
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npm install:agent
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```
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- [LangGraph Documentation](https://langchain-ai.github.io/langgraph/)
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- [CopilotKit Documentation](https://docs.copilotkit.ai)
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- [Next.js Documentation](https://nextjs.org/docs)
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- [Auth0 Next.js SDK Examples](https://github.com/auth0/nextjs-auth0/blob/main/EXAMPLES.md)
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14
web/agent/.dockerignore
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14
web/agent/.dockerignore
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Dockerfile
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.dockerignore
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.git
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.gitignore
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.env
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.env.*
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.venv/
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venv/
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__pycache__/
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*.pyc
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*.pyo
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.langgraph_api/
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.vercel/
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*.md
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13
web/agent/Dockerfile
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13
web/agent/Dockerfile
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# syntax=docker/dockerfile:1
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FROM langchain/langgraph-api:3.12
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# Copy dependency files and install
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ADD pyproject.toml uv.lock /deps/agent/
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RUN cd /deps/agent && pip install --no-cache-dir -e .
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# Copy application code
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ADD main.py langgraph.json /deps/agent/
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# Set the graph configuration
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ENV LANGSERVE_GRAPHS='{"vpi_1000": "/deps/agent/main.py:graph"}'
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"dependencies": ["."],
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"package_manager": "uv",
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"graphs": {
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"sample_agent": "./main.py:graph"
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"vpi_1000": "./main.py:graph"
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},
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"env": ".env"
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}
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@@ -1,5 +1,5 @@
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[project]
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name = "sample-agent"
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name = "vpi-1000"
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version = "0.1.0"
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description = "A LangGraph agent"
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requires-python = ">=3.12"
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