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JavaScript, Go, etc.)\n- Process documents, images, and multimedia\n- Interact with web browsers for automation\n- Access databases and external services\n\nInstead of managing separate containers or installing dependencies on-the-fly, AgentBox provides everything pre-configured in a single, secure image.\n\n## What's Inside\n\n- **Multi-language runtime**: Python, Node.js, Go, Ruby, Rust\n- **Document processing**: PDF, Excel, PowerPoint, Word, HTML\n- **Browser automation**: Playwright with Chromium \u0026 Firefox\n- **Data tools**: pandas, numpy, database clients (MySQL, PostgreSQL, SQLite)\n- **Media processing**: ffmpeg, image manipulation\n- **Development tools**: git, build tools, debuggers\n\n## Quick Start\n\n```bash\ndocker run -it --rm -v $(pwd):/workspace langgenius/dify-agentbox:latest\n```\n\nMulti-arch images (amd64/arm64) are published and tagged with the full git SHA plus `latest`.\n\n## Use Cases\n\n- **AI Agent Execution**: Run LLM-generated code safely in isolated environments\n- **Code Interpreters**: Execute user code across multiple languages\n- **Document Processing**: Convert, extract, and transform documents at scale\n- **Browser Automation**: Scrape websites, test web applications, automate workflows\n- **CI/CD Pipelines**: Universal build environment with all tools included\n\n## Managing This Repository\n\n### Project Structure\n\n```\ndify-agentbox/\n├── versions/versions.yaml    # Version configuration for all packages\n├── Dockerfile.j2              # Jinja2 template for generating Dockerfile\n├── build.py                   # Build script to render and build images\n└── .github/workflows/         # CI/CD automation\n```\n\n### Making Changes\n\n**1. Update Package Versions**\n\nEdit `versions/versions.yaml`:\n\n```yaml\nlanguages:\n  python:\n    version: \"3.12\"\n  nodejs:\n    version: \"20\"\n\npython_packages:\n  - name: \"pandas[excel,html,xml]\"\n    version: \"~=2.2.3\"\n```\n\n**2. Render \u0026 build locally (multi-arch)**\n\n```bash\n# Install dependencies\nuv sync\n\n# Render Dockerfile\nuv run python build.py\n\n# Build multi-arch image with git SHA tag\nTAG=$(git rev-parse --short HEAD)\ndocker buildx build --platform linux/amd64,linux/arm64 -t langgenius/dify-agentbox:${TAG} .\n```\n\n**3. Test Changes**\n\n```bash\n# Run the image\ndocker run -it --rm langgenius/dify-agentbox:${TAG}\n\n# Verify installations\npython --version\nnode --version\ngo version\n```\n\n### CI/CD Workflow\n\nImages are automatically built and pushed when:\n- **Push to main**: Builds and tags as `latest`\n- **Create tag** (e.g., `v1.0.0`): Builds and tags with semantic version\n- **Pull request**: Validates build without pushing\n\nMulti-architecture builds (amd64, arm64) are enabled by default.\n\n### Adding New Packages\n\n**System packages** (apt):\n```yaml\nsystem_packages:\n  utilities:\n    - your-package-name\n```\n\n**Python packages**:\n```yaml\npython_packages:\n  - name: \"your-package\"\n    version: \"~=1.0.0\"\n```\n\n**Node.js packages**:\n```yaml\nnodejs_packages:\n  - your-global-package\n```\n\nAfter making changes, rebuild and test locally before pushing.\n\n## License\n\nApache 2.0\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flanggenius%2Fdify-agentbox","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flanggenius%2Fdify-agentbox","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flanggenius%2Fdify-agentbox/lists"}