diff --git a/frontend/.cursorrules b/.cursor/.cursorrules similarity index 100% rename from frontend/.cursorrules rename to .cursor/.cursorrules diff --git a/.cursor/rules/agent-best-practices.mdc b/.cursor/rules/agent-best-practices.mdc new file mode 100644 index 0000000..17ddf13 --- /dev/null +++ b/.cursor/rules/agent-best-practices.mdc @@ -0,0 +1,39 @@ +--- +description: Backend +globs: +alwaysApply: false +--- +# Agent Backend Best Practices Rule + +To ensure easy, non-breaking development in the agent backend (`/agent`), follow these guidelines: + +## Project Structure +- The main agent logic is in .@`mcp_agent\agents.py` +- Add new agent logic or workflows as new nodes in the workflow graph. +- Place supporting scripts (e.g., math server) in the agent directory (e.g., [`math_server.py`](mdc:agent/math_server.py)). + +## Extensibility +- Use the `MCPConfig` pattern to add new tools or servers without modifying core logic. +- Extend `AgentState` for new agent/team features, but keep backward compatibility. +- Add new workflow nodes for advanced agent/team orchestration, not by modifying existing nodes. +- For advanced memory, swap `MemorySaver` for a compatible memory backend (e.g., Mem0) in a non-breaking way. + +## Code Quality +- Use type hints and TypedDict for all state/config structures. +- Write docstrings for all functions and classes. +- Use camelCase for variables and PascalCase for classes. +- Prefer async/await for all agent logic. +- Log tool and agent responses for debugging. + +## Backward Compatibility +- Default to existing config and memory if new features/settings are not provided. +- Never remove or rename existing config fields without a migration path. +- Test all changes with existing agent workflows before merging. + +## Documentation +- Update [`README.md`](mdc:agent/README.md) with any major changes or new features. +- Document new tools, memory backends, or workflow nodes inline and in the README. + +## Summary +Following these rules will help maintain a robust, extensible, and backward-compatible agent backend. + diff --git a/.cursor/rules/context7-mcp-tool.mdc b/.cursor/rules/context7-mcp-tool.mdc new file mode 100644 index 0000000..16b529b --- /dev/null +++ b/.cursor/rules/context7-mcp-tool.mdc @@ -0,0 +1,26 @@ +--- +description: use context7 +globs: +alwaysApply: false +--- +# Context7 MCP Tool Usage Rule + +When using the context7 MCP tool, especially the `get-library-docs` action, always set the `tokens` parameter to **5000 or greater**. This is required to avoid errors and ensure successful documentation retrieval. + +## Example (Correct Usage) + +```json +{ + "context7CompatibleLibraryID": "/mem0ai/mem0", + "tokens": 5000 +} +``` + +## Best Practices +- Never set `tokens` below 5000 for `get-library-docs`. +- If specifying a topic, include it as a string, but always set `tokens` to at least 5000. +- Update any tool call templates or scripts to default to `tokens: 5000` or higher. + +## Reference +This rule is enforced to comply with the requirements of the context7 MCP tool and prevent repeated errors in documentation retrieval. + diff --git a/.cursor/rules/frontend-best-practices.mdc b/.cursor/rules/frontend-best-practices.mdc new file mode 100644 index 0000000..cca505b --- /dev/null +++ b/.cursor/rules/frontend-best-practices.mdc @@ -0,0 +1,46 @@ +--- +description: frontend, ui. +globs: +alwaysApply: false +--- +# Frontend Best Practices Rule + +To ensure robust, bug-free development in the frontend (`/frontend`), follow these guidelines: + +## Project Structure +- Main app entry and routing are in [`src/app/`](mdc:frontend/src/app). +- Reusable UI components are in [`src/components/ui/`](mdc:frontend/src/components/ui). +- Agent-specific UIs are in [`src/components/agents/`](mdc:frontend/src/components/agents). +- Global state providers are in [`src/providers/`](mdc:frontend/src/providers). +- Custom hooks are in [`src/hooks/`](mdc:frontend/src/hooks). +- Utility functions and agent config types are in [`src/lib/`](mdc:frontend/src/lib). + +## Code Quality +- Use TypeScript for all files to ensure type safety. +- Write JSDoc comments for all functions and components. +- Use camelCase for variables and PascalCase for components/classes. +- Prefer async/await for asynchronous logic. +- Use React context for global state management. +- Keep components small and focused; extract logic into hooks when possible. + +## UI/UX +- Use Tailwind CSS for styling; avoid inline styles. +- Ensure all UI is responsive and mobile-friendly. +- Use skeletons/loading states from [`src/components/skeletons/`](mdc:frontend/src/components/skeletons) for async data. + +## Extensibility +- Register new agents in [`src/lib/available-agents.ts`](mdc:frontend/src/lib/available-agents.ts). +- Add new agent UIs in [`src/components/agents/`](mdc:frontend/src/components/agents). +- Use the agent/team creation UI (planned) for dynamic agent management. + +## Testing & Debugging +- Test all new features in both development and production builds. +- Use React Query Devtools and CopilotKit Dev Console for debugging. +- Validate all forms and user input. + +## Documentation +- Update [`README.md`](mdc:frontend/README.md) with any major changes or new features. + +## Summary +Following these rules will help maintain a clean, scalable, and bug-resistant frontend codebase. + diff --git a/.cursor/rules/fullstack-best-practices.mdc b/.cursor/rules/fullstack-best-practices.mdc new file mode 100644 index 0000000..45a8eb2 --- /dev/null +++ b/.cursor/rules/fullstack-best-practices.mdc @@ -0,0 +1,43 @@ +--- +description: +globs: +alwaysApply: true +--- +# Fullstack Best Practices Rule + +To ensure a complete, bug-free app across both frontend and backend, follow these unified guidelines: + +## Project Structure +- Frontend code is in [`/frontend`](mdc:frontend/README.md), with main logic in [`src/app/`](mdc:frontend/src/app) and components in [`src/components/`](mdc:frontend/src/components). +- Backend agent code is in [`/agent`](mdc:agent/README.md), with main logic in .@`mcp_agent\agents.py`. + +## Code Quality +- Use TypeScript for frontend and type hints for backend Python. +- Write JSDoc (frontend) and docstrings (backend) for all functions and classes. +- Use camelCase for variables and PascalCase for components/classes. +- Prefer async/await for all asynchronous logic. +- Keep components, functions, and modules small and focused. + +## Extensibility +- Register new agents and tools via config files ([`src/lib/available-agents.ts`](mdc:frontend/src/lib/available-agents.ts) for frontend, `MCPConfig` for backend). +- Add new features as new components, hooks, or workflow nodes—avoid modifying existing logic unless necessary. +- Use context providers (frontend) and state classes (backend) for global/shared state. + +## Testing & Debugging +- Test all new features in both development and production builds. +- Use React Query Devtools and CopilotKit Dev Console (frontend) and log tool/agent responses (backend). +- Validate all forms and user input. +- Add unit/integration tests for critical workflows. + +## Documentation +- Update [`README.md`](mdc:frontend/README.md) and [`README.md`](mdc:agent/README.md) with any major changes or new features. +- Document new agents, tools, memory backends, or workflow nodes inline and in the README. + +## Backward Compatibility +- Default to existing config and memory if new features/settings are not provided. +- Never remove or rename existing config fields without a migration path. +- Test all changes with existing workflows before merging. + +## Summary +Following these rules will help maintain a robust, extensible, and bug-resistant fullstack codebase. + diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..7bc07ec --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,10 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Environment-dependent path to Maven home directory +/mavenHomeManager.xml +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/.idea/AugmentWebviewStateStore.xml b/.idea/AugmentWebviewStateStore.xml new file mode 100644 index 0000000..b23b71a --- /dev/null +++ b/.idea/AugmentWebviewStateStore.xml @@ -0,0 +1,10 @@ + + + + + + \ No newline at end of file diff --git a/.idea/KB-multi-agent.iml b/.idea/KB-multi-agent.iml new file mode 100644 index 0000000..794a83f --- /dev/null +++ b/.idea/KB-multi-agent.iml @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 0000000..ac46ceb --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,9 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..3bf226a --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,9 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..4520427 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..35eb1dd --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/PROJECT-STRUCTURE.md b/PROJECT-STRUCTURE.md new file mode 100644 index 0000000..be722b6 --- /dev/null +++ b/PROJECT-STRUCTURE.md @@ -0,0 +1,353 @@ +# KB-multi-agent Project Structure + +This document provides a comprehensive overview of the KB-multi-agent project structure, architecture, and components. + +## Overview + +KB-multi-agent is a sophisticated multi-agent application that combines a Next.js frontend with a LangGraph backend to create a unified interface for interacting with multiple specialized AI agents. The application follows a modular architecture with clear separation of concerns between frontend and backend components. + +Open Multi-Agent Canvas, created by [CopilotKit](https://github.com/CopilotKit/CopilotKit), is an open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation. It's built to help with travel planning, research, knowledge management, and general-purpose tasks through MCP servers. + +## Architecture + +The project consists of two main components: + +### 1. Frontend (Next.js) + +- **Framework**: Next.js 15.3.1 with React 19 +- **State Management**: TanStack Query and CopilotKit +- **UI Components**: Component-based architecture for different agent UIs +- **Styling**: Tailwind CSS with shadcn/ui components +- **Communication**: Server-Sent Events (SSE) for real-time updates + +### 2. Backend (LangGraph) + +- **Framework**: LangGraph for agent workflows +- **Server**: FastAPI for HTTP endpoints +- **Architecture**: Modular with configurable components +- **Integration**: Custom server with health and diagnostic endpoints +- **Tools**: MultiServerMCPClient for external service integration +- **Database**: PostgreSQL or Supabase for persistent storage + +## Directory Structure + +``` +KB-multi-agent/ +├── agent/ # Backend code +│ ├── mcp_agent/ # Main agent code +│ │ ├── integrations/ # Modular backend integrations +│ │ ├── agent.py # Main agent workflow definition +│ │ ├── agent_factory.py # Factory for creating agents +│ │ ├── custom_server.py # Custom FastAPI server +│ │ ├── langgraph.json # LangGraph configuration +│ │ └── run_server.py # Server startup script +│ ├── knowledge_server.py # Knowledge graph server +│ └── math_server.py # Math operations server +│ +├── frontend/ # Frontend code +│ ├── src/ +│ │ ├── app/ # Next.js pages and layouts +│ │ ├── components/ # React components +│ │ │ ├── agents/ # Agent-specific UI components +│ │ │ ├── ui/ # Reusable UI components +│ │ │ └── enhanced-*.tsx # Layout and sidebar components +│ │ ├── hooks/ # Custom React hooks +│ │ ├── lib/ # Utility functions and types +│ │ └── providers/ # Global state providers +│ ├── public/ # Static assets +│ └── next.config.ts # Next.js configuration +│ +├── scripts/ # Scripts for starting, stopping, and managing the application +│ ├── check-app-health.ps1 # Health check script +│ ├── init-database.ps1 # Database initialization script +│ ├── init-supabase.ps1 # Supabase initialization script +│ ├── install-db-deps.ps1 # Database dependencies installation script +│ ├── start-app.ps1 # Application startup script +│ └── stop-app.ps1 # Application shutdown script +│ +├── start-app.ps1 # Root shortcut to start the application +└── README.md # Project documentation +``` + +## Components + +### Frontend Components + +#### Agent Components + +The frontend includes specialized UI components for each agent type: + +1. **Travel Agent** (`frontend/src/components/agents/travel-agent.tsx`) + - Plans trips and creates itineraries + - Displays locations on an interactive map + - Uses Leaflet for map visualization + +2. **Research Agent** (`frontend/src/components/agents/researcher.tsx`) + - Conducts research with real-time progress updates + - Provides structured research reports + - Shows resource links and citations + +3. **MCP Agent** (`frontend/src/components/agents/mcp-agent.tsx`) + - General-purpose agent using MCP servers + - Connects to configurable backend services + - Displays real-time logs and responses + +4. **Knowledge Agent** (`frontend/src/components/agents/knowledge-agent.tsx`) + - Visualizes and queries knowledge graphs + - Displays entity relationships + - Interactive graph visualization + - Persistent storage with PostgreSQL or Supabase + +#### Core Components + +- **Canvas** (`frontend/src/components/canvas.tsx`): Main container for agent UIs +- **Enhanced Sidebar** (`frontend/src/components/enhanced-sidebar.tsx`): Navigation sidebar +- **Enhanced Layout** (`frontend/src/components/enhanced-layout.tsx`): Main layout component +- **Map Container** (`frontend/src/components/map-container.tsx`): Interactive map for Travel Agent +- **Knowledge Graph** (`frontend/src/components/knowledge-graph.tsx`): Graph visualization +- **Knowledge Graph Visualization** (`frontend/src/components/knowledge-graph-visualization.tsx`): Interactive visualization + +#### State Management + +- **CoAgents Provider** (`frontend/src/components/coagents-provider.tsx`): Manages agent state +- **Settings Provider** (`frontend/src/providers/SettingsProvider.tsx`): Manages application settings +- **Providers** (`frontend/src/providers/Providers.tsx`): Root providers for the application + +### Backend Components + +#### Core Components + +1. **Agent Factory** (`agent/mcp_agent/agent_factory.py`) + - Creates agents with modular, configurable backends + - Supports different memory, LLM, and knowledge backends + - Configurable through environment variables + +2. **Agent Workflow** (`agent/mcp_agent/agent.py`) + - Defines the LangGraph workflow + - Implements the chat node for processing messages + - Integrates with tools and services + +3. **Custom Server** (`agent/mcp_agent/custom_server.py`) + - FastAPI server with health endpoint + - LangGraph integration for agent workflows + - CORS middleware for frontend communication + +4. **Knowledge Server** (`agent/knowledge_server.py`) + - Manages knowledge graph data + - Provides API endpoints for querying and updating the knowledge graph + - Integrates with PostgreSQL or Supabase for persistent storage + +#### Integrations + +The backend includes modular integrations for various services: + +- **Memory Management**: + - `mem0`: Integration with mem0.ai for persistent memory + - `memorysaver`: In-memory storage using LangGraph's MemorySaver + +- **LLM Integration**: + - `litellm`: Unified interface for various LLM providers + +- **Agent-to-Agent Communication**: + - `inmemory`: In-process communication between agents + +- **Knowledge Graph**: + - `graphiti`: Integration with knowledge graph services + - `postgres`: PostgreSQL database integration + - `supabase`: Supabase database integration + +- **Logging and Tracing**: + - `logfire`: Integration for logging, tracing, and monitoring + +## Communication Flow + +### Frontend to Backend + +1. The frontend communicates with the backend through Server-Sent Events (SSE) +2. The MCP Agent component performs health checks to verify the backend is running +3. MCP configurations are stored in localStorage and passed to the backend +4. API requests are sent to the `/v1/graphs/mcp-agent/invoke` endpoint + +### Backend Processing + +1. The backend receives requests through the FastAPI server +2. LangGraph processes the request through the defined workflow +3. The agent uses tools like the MultiServerMCPClient to interact with external services +4. Results are streamed back to the frontend through SSE + +## Server Implementation + +The backend includes two server implementations: + +1. **Custom Server** (Recommended): + - Enhanced FastAPI server with health endpoint + - Improved error handling and diagnostics + - Automatic fallback to simple health server + +2. **Standard LangGraph Server**: + - Default LangGraph development server + - Provides graph visualization and debugging tools + +## Database Integration + +The Knowledge Agent includes database integration for persistent storage of knowledge graph data. You can choose between PostgreSQL or Supabase as your database backend. + +### PostgreSQL Integration + +PostgreSQL is the default database backend and provides: +- Persistent storage for knowledge graph entities and relations +- Efficient querying of graph data +- Support for complex relationships and properties + +The PostgreSQL connection is configured in the `agent/.env` file with the following variables: +``` +DATABASE_BACKEND=postgres +DATABASE_URL='prisma+postgres://accelerate.prisma-data.net/?api_key=YOUR_API_KEY' +DIRECT_URL='postgres://username:password@hostname/database?sslmode=require' +``` + +### Supabase Integration + +Supabase provides an alternative database backend with: +- User authentication and authorization +- Real-time updates +- REST API for database access + +The Supabase connection is configured in both `frontend/.env` and `agent/.env`: + +Frontend `.env`: +``` +NEXT_PUBLIC_SUPABASE_URL=https://your-project-id.supabase.co +NEXT_PUBLIC_SUPABASE_ANON_KEY=your-anon-key +``` + +Backend `.env`: +``` +DATABASE_BACKEND=supabase +SUPABASE_URL=https://your-project-id.supabase.co +SUPABASE_SERVICE_KEY=your-service-key +``` + +## Startup Process + +The application is started using the `start-app.ps1` script in the root directory, which calls the corresponding script in the scripts folder. This script: + +1. Checks for required dependencies (Poetry, PNPM) +2. Starts the backend with a health endpoint on port 8124 +3. Starts the frontend on port 3000 +4. Verifies the integration between frontend and backend +5. Displays URLs for accessing the application + +## Configuration + +The application is configured through: + +1. **Environment Variables**: + - `NEXT_PUBLIC_BACKEND_URL`: Backend URL for frontend + - `NEXT_PUBLIC_COPILOT_CLOUD_API_KEY`: API key for CopilotKit + - `OPENAI_API_KEY`: API key for OpenAI (backend) + - `DATABASE_BACKEND`: Database backend to use (postgres or supabase) + +2. **Local Storage**: + - MCP server configurations + - User preferences and settings + +3. **LangGraph Configuration**: + - `langgraph.json`: Defines the agent workflows + +## Development Workflow + +For development: + +1. Start the backend: + ```bash + cd agent + poetry install + poetry run custom-server + ``` + +2. Start the frontend: + ```bash + cd frontend + pnpm install + pnpm run dev + ``` + +3. Access the frontend at http://localhost:3000 +4. Verify backend health at http://localhost:8124/health + +## Scripts + +The project includes several scripts in the `scripts` directory for managing the application: + +1. **check-app-health.ps1**: Checks the health of the frontend and backend +2. **init-database.ps1**: Initializes the PostgreSQL database +3. **init-supabase.ps1**: Initializes the Supabase database +4. **install-db-deps.ps1**: Installs PostgreSQL database dependencies +5. **install-supabase-deps.ps1**: Installs Supabase dependencies +6. **start-app.ps1**: Starts the frontend and backend +7. **stop-app.ps1**: Stops the frontend and backend + +These scripts are available in both PowerShell (.ps1) and Batch (.bat) formats for Windows users. + +## Testing + +The application includes tests for both frontend and backend components: + +- **Backend Tests**: Unit tests for agent factory, integrations, and workflows +- **Frontend Tests**: Component tests using React Testing Library + +## Troubleshooting + +### Port Conflicts + +If you encounter port conflicts when starting the backend server, you may see an error like: + +``` +ERROR: [Errno 10048] error while attempting to bind on address ('127.0.0.1', 8124): [winerror 10048] only one usage of each socket address is allowed +``` + +To resolve this: + +1. Find the process using the port: + ``` + netstat -ano | findstr :8124 + ``` + +2. Terminate the process: + ``` + taskkill /F /PID + ``` + +3. Restart the server + +### Backend Connection Issues + +If the frontend cannot connect to the backend: + +1. Verify the backend is running: + ``` + curl http://localhost:8124/health + ``` + +2. Check that the frontend's `.env` file has the correct backend URL: + ``` + NEXT_PUBLIC_BACKEND_URL=http://localhost:8124 + ``` + +3. Run the test script to verify the backend is working correctly: + ``` + cd agent && python test_server.py + ``` + +## Conclusion + +The KB-multi-agent project demonstrates a sophisticated architecture for building multi-agent applications with a clear separation between frontend and backend components. The modular design allows for easy extension and customization, making it a flexible platform for various AI agent use cases. + +Key features include: +- Multiple specialized AI agents (Travel, Research, MCP, Knowledge) +- Modular architecture with configurable components +- Real-time communication through Server-Sent Events +- Persistent storage with PostgreSQL or Supabase +- Interactive visualizations for knowledge graphs and maps +- Comprehensive scripts for managing the application diff --git a/README.md b/README.md index 9cdec16..85dc9e5 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@
# Open Multi-Agent Canvas - + ![CopilotKit-Banner](https://github.com/user-attachments/assets/8167c845-0381-45d9-ad1c-83f995d48290)
@@ -19,29 +19,193 @@ Check out these awesome agents (they live in separate repositories). You can run - [CoAgents Travel Agent](https://github.com/CopilotKit/CopilotKit/tree/main/examples/coagents-travel/agent) - [CoAgents AI Researcher](https://github.com/CopilotKit/CopilotKit/tree/main/examples/coagents-ai-researcher/agent) -Additionally, this project now includes a built-in MCP (Multi-Channel Protocol) Agent: +Additionally, this project now includes built-in agents: - **MCP Agent**: A general-purpose agent capable of handling various tasks through configurable MCP servers. +- **Knowledge Agent**: A specialized agent for visualizing, querying, and managing knowledge graphs with PostgreSQL database integration. + +## Copilot Cloud is required to run this project + +You'll need a Copilot Cloud API key to run the frontend. Get one at [cloud.copilotkit.ai](https://cloud.copilotkit.ai/). + +## Architecture Overview + +The Multi-Agent Canvas consists of two main components: + +1. **Frontend (Next.js)**: + - Provides the user interface for interacting with agents + - Manages agent state using CopilotKit + - Communicates with the backend via Server-Sent Events (SSE) + +2. **Backend (LangGraph)**: + - Runs the agent workflows using LangGraph + - Provides API endpoints for the frontend + - Integrates with various tools and services + - Includes a custom server with health and diagnostic endpoints + +### Server Implementation + +The backend includes two server implementations: -## Copilot Cloud is required to run this project: +1. **Custom Server** (Recommended): + - Enhanced FastAPI server with health endpoint + - Improved error handling and diagnostics + - Automatic fallback to simple health server +2. **Standard LangGraph Server**: + - Default LangGraph development server + - Provides graph visualization and debugging tools +The start-all.ps1 script attempts to start the custom server first, and if that fails, it falls back to the standard server. ## Quick Start 🚀 ### 1. Prerequisites Make sure you have: -- [pnpm](https://pnpm.io/installation) +- [pnpm](https://pnpm.io/installation) for frontend dependencies +- [Poetry](https://python-poetry.org/docs/#installation) for backend dependencies +- [Python](https://www.python.org/downloads/) (v3.10 or later) +- [Node.js](https://nodejs.org/) (v18 or later) ### 2. API Keys -- [Copilot Cloud](https://cloud.copilotkit.ai) +- [Copilot Cloud](https://cloud.copilotkit.ai) for the frontend +- OpenAI API key for the backend (optional) + +### 3. Starting the Application + +We've simplified the application management to a single script that handles all operations: + +```powershell +# Start the application (standard mode) +./start-app.ps1 + +# Start with interactive mode (includes Supabase) +./start-app.ps1 -Interactive + +# Force restart (when console windows aren't visible) +./start-app.ps1 -Force + +# Stop all components +./start-app.ps1 -Action stop + +# Restart specific component +./start-app.ps1 -Action restart -Component backend + +# Check status +./start-app.ps1 -Action status -Detailed +``` + +This unified script will: +- Check for required dependencies +- Start the backend with a health endpoint +- Start the frontend +- Initialize the database (PostgreSQL or Supabase) +- Verify the integration between all components + +**Parameters:** +- `-Action`: start, stop, restart, or status (default: start) +- `-Component`: all, backend, frontend, or database (default: all) +- `-Interactive`: Enable interactive mode with Supabase +- `-Force`: Force restart, creating new console windows +- `-Detailed`: Show detailed status information + +Examples: +```powershell +# Basic operations +./start-app.ps1 # Start everything +./start-app.ps1 -Interactive # Start with Supabase integration +./start-app.ps1 -Action stop # Stop all components + +# Force restart (creates new console windows) +./start-app.ps1 -Force # Force restart all components +./start-app.ps1 -Component backend -Force # Force restart just the backend + +# Component-specific operations +./start-app.ps1 -Component backend # Start just the backend +./start-app.ps1 -Component frontend # Start just the frontend +./start-app.ps1 -Component database # Initialize the database +./start-app.ps1 -Action restart -Component backend # Restart the backend + +# Status and maintenance +./start-app.ps1 -Action status -Detailed # Detailed status check +``` + +### Database Integration + +The Knowledge Agent now includes database integration for persistent storage of knowledge graph data. You can choose between PostgreSQL or Supabase as your database backend. + +#### Option 1: PostgreSQL (Default) + +To set up PostgreSQL: + +1. Install the required dependencies: +``` +./scripts/install-db-deps.ps1 # or ./scripts/install-db-deps.bat +``` + +2. Initialize the database: +``` +./scripts/manage-app.ps1 -Action start -Component database +``` + +The PostgreSQL connection is configured in the `agent/.env` file with the following variables: +``` +DATABASE_BACKEND=postgres +DATABASE_URL='prisma+postgres://accelerate.prisma-data.net/?api_key=YOUR_API_KEY' +DIRECT_URL='postgres://username:password@hostname/database?sslmode=require' +``` + +#### Option 2: Supabase + +To set up Supabase: + +1. Create a Supabase project at [supabase.com](https://supabase.com) -## Running the Frontend +2. Install the required dependencies: +``` +./scripts/install-supabase-deps.ps1 # or ./scripts/install-supabase-deps.bat +``` + +3. Configure your environment variables in both `frontend/.env` and `agent/.env`: + + Frontend `.env`: + ``` + NEXT_PUBLIC_SUPABASE_URL=https://your-project-id.supabase.co + NEXT_PUBLIC_SUPABASE_ANON_KEY=your-anon-key + ``` + + Backend `.env`: + ``` + DATABASE_BACKEND=supabase + SUPABASE_URL=https://your-project-id.supabase.co + SUPABASE_SERVICE_KEY=your-service-key + ``` + +4. Initialize Supabase tables and default user (either method works): +``` +./scripts/init-supabase.ps1 # Manual initialization +./scripts/manage-app.ps1 -Action start -Component supabase # Using the management script +./start-app-interactive.ps1 # Using the interactive startup script +``` + +5. Run the SQL script in `scripts/update-supabase-tables.sql` in the Supabase SQL Editor to ensure all tables are properly configured. + +The initialization script will: +- Check if all required tables exist with the correct structure +- Create a default user for testing +- Provide instructions for any missing tables or columns + +For more detailed instructions, see [STARTUP.md](./STARTUP.md). + +### 4. Manual Setup + +#### Running the Frontend Rename the `example.env` file in the `frontend` folder to `.env`: ```sh -NEXT_PUBLIC_CPK_PUBLIC_API_KEY=... +NEXT_PUBLIC_COPILOT_CLOUD_API_KEY=... +NEXT_PUBLIC_BACKEND_URL=http://localhost:8124 ``` Install dependencies: @@ -51,21 +215,23 @@ cd frontend pnpm i ``` - - Need a CopilotKit API key? Get one [here](https://cloud.copilotkit.ai/). Then, fire up the Next.js project: ```sh -pnpm run build && pnpm run start +pnpm run dev # for development +# or +pnpm run build && pnpm run start # for production ``` -## MCP Agent Setup +## Agent Features + +### MCP Agent ![mcp-demo](./agent/demo/mcp-demo.gif) -The MCP Agent allows you to connect to various MCP-compatible servers: +The MCP Agent allows you to connect to various MCP-compatible servers and select different agent frameworks: 1. **Configuring Custom MCP Servers**: - Click the "MCP Servers" button in the top right of the interface @@ -76,35 +242,287 @@ The MCP Agent allows you to connect to various MCP-compatible servers: 2. **Public MCP Servers**: - You can connect to public MCP servers like [mcp.composio.dev](https://mcp.composio.dev/) and [mcp.run](https://www.mcp.run/) -## Running the MCP Agent Backend (Optional) +3. **Framework Selection**: + - Click the settings icon in the MCP Agent interface + - Select from available frameworks: + - **LangGraph**: Default framework using LangGraph for agent workflows + - **OpenAI Agents**: Alternative framework using OpenAI Agents SDK + - **Hybrid**: Uses OpenAI Agents first, falls back to LangGraph if there's an error + +### Knowledge Agent + +The Knowledge Agent provides a powerful interface for working with knowledge graphs: + +1. **Interactive Graph Visualization**: + - Visualize entities and relationships in an interactive force-directed graph + - Zoom, pan, and explore the knowledge structure visually + - Filter by entity types and relationship types + +2. **Entity Management**: + - Add new entities to the knowledge graph + - Edit existing entities and their properties + - View detailed information about entities + +3. **Knowledge Querying**: + - Search for entities and concepts in the knowledge graph + - Find relationships between entities + - Explore the knowledge structure through natural language queries + +#### Running the MCP Agent Backend Rename the `example.env` file in the `agent` folder to `.env`: ```sh OPENAI_API_KEY=... LANGSMITH_API_KEY=... + +# Framework Configuration +# Options: langgraph, openai_agents, hybrid +FRAMEWORK=langgraph +DEFAULT_MODEL=gpt-4o + +# Optional Logfire configuration +LOGFIRE_PROJECT=kb-multi-agent +LOGFIRE_TOKEN=... +LOGGING_ENABLED=true ``` -If you want to use the included MCP Agent with the built-in math server: +If you want to use the included MCP Agent with the built-in math and knowledge servers: ```sh cd agent poetry install -poetry run langgraph dev --host localhost --port 8123 --no-browser + +# Standard server (no health endpoint) +poetry run demo + +# OR use the improved server with health endpoint (recommended) +poetry run custom-server ``` +The custom server provides a health endpoint at http://localhost:8124/health that the frontend can use to verify the backend is running. It also includes additional diagnostic endpoints like `/routes` and a root endpoint with server information. + +### Enhanced Server Features + +1. **Robust Error Handling**: The custom server includes comprehensive error handling and fallback mechanisms to ensure reliability. +2. **Diagnostic Endpoints**: + - `/health`: Check if the server is running + - `/routes`: List all available API routes + - `/`: Root endpoint with server information + - `/config/mode`: Set the framework mode (langgraph, openai_agents, hybrid) +3. **Automatic Fallback**: If the custom server fails to start, it automatically falls back to a simple health server to maintain basic functionality. +4. **Framework Selection**: The server supports multiple agent frameworks: + - **LangGraph**: Default framework using LangGraph for agent workflows + - **OpenAI Agents**: Alternative framework using OpenAI Agents SDK + - **Hybrid**: Uses OpenAI Agents first, falls back to LangGraph if there's an error + ## Running a tunnel Add another terminal and select Remote Endpoint. Then select Local Development. -Once this is done, copy the command into your terminal and change the port to match the LangGraph server `8123` +Once this is done, copy the command into your terminal and change the port to match the LangGraph server `8124` ![image](https://github.com/user-attachments/assets/6bf41042-9529-4470-8baf-dd076aad31a1) -## Documentation +## Testing the Backend + +Test scripts are included to verify that the backend is working correctly: + +```sh +# Test basic server functionality +cd agent +python test_server.py + +# Test framework integration +python test_framework_integration.py + +# Test with a specific framework +python test_server.py --framework openai_agents +``` + +You can also use the PowerShell script to test the framework integration: + +```sh +./scripts/test-framework.ps1 +``` + +These scripts test the health endpoint, routes endpoint, root endpoint, and framework selection to ensure the server is functioning properly. + +## Backend Integrations + +The backend includes several modular integrations that can be configured via environment variables: + +1. **Memory Management**: + - `mem0`: Integration with [mem0](https://mem0.ai/) for persistent memory storage + - `memorysaver`: Default in-memory storage using LangGraph's MemorySaver + +2. **LLM Integration**: + - `litellm`: Unified interface for various LLM providers through [LiteLLM](https://github.com/BerriAI/litellm) + +3. **Agent-to-Agent Communication**: + - `inmemory`: In-process communication between agents + +4. **Knowledge Graph**: + - `graphiti`: Integration with knowledge graph services + +5. **Logging and Tracing**: + - `logfire`: Integration with [Logfire](https://logfire.ai/) for logging, tracing, and monitoring + - See [Logfire Integration](./agent/LOGFIRE.md) for detailed setup instructions + +## Troubleshooting + +### Quick Fix Scripts + +We've created several scripts to help diagnose and fix common issues: + +1. **Simple Start Script**: + + ```powershell + ./scripts/simple-start.ps1 + ``` + + This script starts both the backend and frontend in minimal mode, bypassing any complex initialization. + +2. **Backend Diagnostic Script**: + + ```powershell + ./scripts/diagnose-backend.ps1 + ``` + + Checks for common backend issues and provides detailed diagnostics. + +3. **Frontend Fix Script**: + + ```powershell + ./scripts/fix-frontend.ps1 + ``` + + Clears Next.js cache and rebuilds the frontend to fix chunk loading errors. + +### Port Conflicts + +If you encounter port conflicts when starting the backend server, you may see an error like: + +```bash +ERROR: [Errno 10048] error while attempting to bind on address ('127.0.0.1', 8124): [winerror 10048] only one usage of each socket address is allowed +``` + +To resolve this: + +1. Find the process using the port: + + ```powershell + netstat -ano | findstr :8124 + ``` + +2. Terminate the process: + + ```powershell + taskkill /F /PID + ``` + +3. Alternatively, use our fix script: + + ```powershell + ./scripts/fix-backend-offline.ps1 + ``` + +### Backend Connection Issues + +If the frontend cannot connect to the backend: + +1. Verify the backend is running: + + ```bash + curl http://localhost:8124/health + ``` + +2. Check that the frontend's `.env` file has the correct backend URL: + + ```env + NEXT_PUBLIC_BACKEND_URL=http://localhost:8124 + ``` + +3. Run the test script to verify the backend is working correctly: + + ```bash + cd agent && python test_server.py + ``` + +4. If the backend still won't start, try running the health server directly: + + ```bash + cd agent && poetry run python -m mcp_agent.health_server + ``` + +### Frontend Issues + +#### Chunk Loading Errors + +If you encounter chunk loading errors in the frontend, you may see errors like: + +```javascript +ChunkLoadError: Loading chunk [...] failed +``` + +To fix this: + +1. Clear the Next.js cache: + + ```bash + cd frontend + rm -rf .next + rm -rf node_modules/.cache + ``` + +2. Rebuild the application: + + ```bash + pnpm install + pnpm run build + pnpm run dev + ``` + +3. Alternatively, use our fix script: + + ```powershell + ./scripts/fix-frontend.ps1 + ``` + +#### Next.js Server Component Errors + +If you see errors related to Server Components, such as: + +```javascript +Error: `ssr: false` is not allowed with `next/dynamic` in Server Components +``` + +This is because Next.js App Router uses Server Components by default. To fix: + +1. Move dynamic imports with `ssr: false` to Client Components +2. Add the "use client" directive to components that use browser-specific features +3. Create client component wrappers for components that need to be used in Server Components + +### Offline Mode + +The application is designed to work in offline mode when Supabase or other external services are not available: + +1. The backend will run in fallback mode with limited functionality +2. The frontend will use localStorage for temporary storage +3. Basic chat and agent functionality will still work + +To start in offline mode: + +```powershell +./scripts/simple-start.ps1 +``` + +## Documentation + - [CopilotKit Docs](https://docs.copilotkit.ai/coagents) - [LangGraph Platform Docs](https://langchain-ai.github.io/langgraph/cloud/deployment/cloud/) - [Model Context Protocol (MCP) Docs](https://github.com/langchain-ai/langgraph/tree/main/examples/mcp) ## License + Distributed under the MIT License. See LICENSE for more info. diff --git a/STARTUP.md b/STARTUP.md new file mode 100644 index 0000000..8d852e9 --- /dev/null +++ b/STARTUP.md @@ -0,0 +1,112 @@ +# Multi-Agent Canvas Startup Guide + +This document provides instructions for starting and stopping the Multi-Agent Canvas application, which consists of a frontend (Next.js) and a backend (MCP Agent). + +## Prerequisites + +Before starting the application, ensure you have the following installed: + +- [Poetry](https://python-poetry.org/docs/#installation) for Python dependency management +- [PNPM](https://pnpm.io/installation) for Node.js dependency management +- [Node.js](https://nodejs.org/) (v18 or later) +- [Python](https://www.python.org/downloads/) (v3.10 or later) + +## Starting the Application + +You have two options for starting the application: + +### Option 1: Using the Batch Script (Windows) + +1. Double-click the `start-app.bat` file +2. Two command windows will open - one for the backend and one for the frontend +3. Wait for both services to initialize + +### Option 2: Using the PowerShell Script (Recommended) + +1. Right-click on `start-app.ps1` and select "Run with PowerShell" +2. The script will: + - Check if all prerequisites are installed + - Start the backend and verify it's running + - Start the frontend and verify it's running + - Verify the integration between frontend and backend + - Display the URLs for accessing the application + +## Accessing the Application + +Once both services are running, you can access: + +- Frontend: [http://localhost:3000](http://localhost:3000) +- Backend API: [http://localhost:8123](http://localhost:8123) +- Backend Health: [http://localhost:8123/health](http://localhost:8123/health) +- API Documentation: [http://localhost:8123/docs](http://localhost:8123/docs) + +## Stopping the Application + +You have two options for stopping the application: + +### Option 1: Using the Batch Script (Windows) + +1. Double-click the `stop-app.bat` file +2. The script will terminate all related processes + +### Option 2: Using the PowerShell Script (Recommended) + +1. Right-click on `stop-app.ps1` and select "Run with PowerShell" +2. The script will: + - Identify and stop all frontend processes + - Identify and stop all backend processes + - Close any remaining terminal windows + +## Troubleshooting + +If you encounter issues: + +1. **Backend fails to start**: + - Check if port 8123 is already in use + - Verify that Poetry is installed correctly + - Check the backend terminal for specific error messages + +2. **Frontend fails to start**: + - Check if port 3000 is already in use + - Verify that PNPM is installed correctly + - Check the frontend terminal for specific error messages + +3. **Connection issues**: + - Verify that both services are running + - Check that the frontend's `.env` file contains `NEXT_PUBLIC_BACKEND_URL=http://localhost:8123` + - Try accessing the backend health endpoint directly: [http://localhost:8123/health](http://localhost:8123/health) + - Run the health check script: `scripts/check-app-health.ps1` or `scripts/check-app-health.bat` + +## Manual Startup (If Scripts Fail) + +If the scripts don't work for any reason, you can start the services manually: + +### Backend (MCP Agent) + +```bash +cd agent +poetry install +poetry run custom-server +``` + +### Frontend (Next.js) + +```bash +cd frontend +pnpm install +pnpm run dev +``` + +## Script Organization + +All utility scripts are now organized in the `scripts` directory for better maintainability: + +- **Start Scripts**: `scripts/start-app.ps1` and `scripts/start-app.bat` +- **Stop Scripts**: `scripts/stop-app.ps1` and `scripts/stop-app.bat` +- **Health Check Scripts**: `scripts/check-app-health.ps1` and `scripts/check-app-health.bat` + +For convenience, shortcut scripts are provided in the root directory: + +- `start-app.ps1` and `start-app.bat` +- `stop-app.ps1` and `stop-app.bat` +- `check-health.ps1` and `check-health.bat` diff --git a/agent/LOGFIRE.md b/agent/LOGFIRE.md new file mode 100644 index 0000000..1c8290c --- /dev/null +++ b/agent/LOGFIRE.md @@ -0,0 +1,87 @@ +# Logfire Integration for KB-multi-agent + +This project includes integration with [Logfire](https://logfire.ai/) for logging, tracing, and monitoring of the agent's operations. + +## Setup + +### 1. Install the Logfire SDK + +The Logfire SDK is already included in the project dependencies. When you run `poetry install`, it will be installed automatically. + +### 2. Authenticate with Logfire + +To authenticate with Logfire, run: + +```bash +logfire auth +``` + +This will open a browser window where you can authenticate. Upon successful authentication, credentials are stored in `~/.logfire/default.toml`. + +### 3. Configure the Project + +From the working directory where you will run your application, set the Logfire project: + +```bash +logfire projects use kb-multi-agent +``` + +Alternatively, you can set the `LOGFIRE_PROJECT` environment variable in your `.env` file. + +### 4. Configure Environment Variables + +In your `.env` file, set the following variables: + +``` +LOGFIRE_PROJECT=kb-multi-agent +LOGFIRE_TOKEN= # Optional, if not using logfire auth +LOGGING_ENABLED=true +``` + +## Features + +The Logfire integration provides the following features: + +### Tracing + +- **Conversation Tracing**: Each conversation is assigned a unique ID and trace ID for tracking +- **Tool Usage Tracing**: All tool calls are logged with inputs and outputs +- **LLM Interaction Tracing**: Model calls are logged with prompts and responses +- **Error Tracking**: Exceptions are logged with context information + +### Metrics + +- **Response Times**: Track how long different operations take +- **Message Counts**: Monitor the number of messages in conversations +- **Tool Usage**: See which tools are used most frequently + +### Logs + +- **Structured Logging**: All logs include relevant context like conversation IDs +- **Error Logging**: Detailed error information for debugging +- **Event Logging**: Key events in the agent's lifecycle are logged + +## Implementation Details + +The Logfire integration is implemented in the following files: + +- `mcp_agent/integrations/logfire_integration.py`: The main integration module +- `mcp_agent/agent_factory.py`: Factory that initializes and provides the logger +- `mcp_agent/agent.py`: Uses the logger for tracing agent operations + +## Viewing Logs and Traces + +To view your logs and traces, go to the [Logfire Dashboard](https://app.logfire.ai/) and select your project. + +## Troubleshooting + +If you encounter issues with Logfire integration: + +1. Check that you're authenticated with `logfire auth` +2. Verify that the correct project is set with `logfire projects list` +3. Ensure `LOGGING_ENABLED=true` in your environment +4. Check for any error messages in the application logs + +## Disabling Logging + +To disable Logfire logging, set `LOGGING_ENABLED=false` in your `.env` file or environment variables. diff --git a/agent/example.env b/agent/example.env index 76081f7..abcd268 100644 --- a/agent/example.env +++ b/agent/example.env @@ -1,2 +1,12 @@ OPENAI_API_KEY= LANGSMITH_API_KEY= + +# Logfire Configuration +LOGFIRE_PROJECT=kb-multi-agent +LOGFIRE_TOKEN= +LOGGING_ENABLED=true + +# Database Configuration +DATABASE_BACKEND=supabase +SUPABASE_URL= +SUPABASE_SERVICE_KEY= diff --git a/agent/knowledge_server.py b/agent/knowledge_server.py new file mode 100644 index 0000000..4e274bf --- /dev/null +++ b/agent/knowledge_server.py @@ -0,0 +1,285 @@ +# knowledge_server.py +from mcp.server.fastmcp import FastMCP +from mcp_agent.integrations.graphiti_integration import GraphitiKnowledgeSource +import asyncio +import json +import uuid +import logging +import os +from dotenv import load_dotenv + +# Load environment variables +load_dotenv() + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Create the MCP server +mcp = FastMCP("Knowledge") + +# Initialize the knowledge source +knowledge_source = GraphitiKnowledgeSource() + +# Determine which database backend to use +DATABASE_BACKEND = os.getenv("DATABASE_BACKEND", "postgres").lower() + +if DATABASE_BACKEND == "supabase": + from mcp_agent.database.supabase_service import SupabaseService as DatabaseService + from mcp_agent.database.supabase_service import initialize_default_user, DEFAULT_USER_ID + + # Initialize the database and default user + try: + # Initialize default user + user = initialize_default_user() + logger.info(f"Using Supabase backend with default user: {DEFAULT_USER_ID}") + except Exception as e: + logger.error(f"Error initializing Supabase: {e}") + +else: # Default to PostgreSQL + from mcp_agent.database.service import DatabaseService + + # Initialize the database + try: + DatabaseService.initialize_database() + logger.info("PostgreSQL database initialized successfully") + + # Default user ID for testing (in a real app, this would come from authentication) + DEFAULT_USER_ID = "00000000-0000-0000-0000-000000000000" + + # Create default user if it doesn't exist + user = DatabaseService.get_user_by_email("default@example.com") + if not user: + user = DatabaseService.create_user("default@example.com", "Default User") + logger.info(f"Created default user: {user['id']}") + DEFAULT_USER_ID = user['id'] + except Exception as e: + logger.error(f"Error initializing PostgreSQL database: {e}") + +@mcp.tool() +async def query_knowledge(query: str, user_id: str = None) -> dict: + """ + Query the knowledge graph with a natural language query. + Returns entities and relations matching the query. + + Args: + query: The search query + user_id: Optional user ID (defaults to DEFAULT_USER_ID) + + Returns: + Dictionary with entities and relations matching the query + """ + try: + # First try to get from database + user_id = user_id or DEFAULT_USER_ID + logger.info(f"Querying knowledge graph for user {user_id}: {query}") + + # Get all entities and relations for the user + knowledge_graph = DatabaseService.get_knowledge_graph(user_id) + + # Filter entities based on the query + filtered_entities = [] + for entity in knowledge_graph["entities"]: + # Simple string matching for now + if (query.lower() in entity["name"].lower() or + query.lower() in entity["type"].lower() or + any(query.lower() in str(value).lower() for value in entity["properties"].values())): + filtered_entities.append(entity) + + # Get relations that connect the filtered entities + entity_ids = [entity["id"] for entity in filtered_entities] + filtered_relations = [] + for relation in knowledge_graph["relations"]: + if relation["from_entity_id"] in entity_ids and relation["to_entity_id"] in entity_ids: + filtered_relations.append(relation) + + return { + "entities": filtered_entities, + "relations": filtered_relations + } + except Exception as e: + logger.error(f"Error querying knowledge graph: {e}") + # Fall back to the original implementation + result = await knowledge_source.query(query) + return { + "entities": [entity.dict() for entity in result.entities], + "relations": [relation.dict() for relation in result.relations] + } + +@mcp.tool() +async def search_entities(query: str, entity_type: str = None, limit: int = 10, user_id: str = None) -> list: + """ + Search for entities in the knowledge graph. + + Args: + query: The search query + entity_type: Optional type of entity to filter by + limit: Maximum number of results to return + user_id: Optional user ID (defaults to DEFAULT_USER_ID) + + Returns: + List of matching entities + """ + try: + # First try to get from database + user_id = user_id or DEFAULT_USER_ID + logger.info(f"Searching entities for user {user_id}: {query} (type={entity_type}, limit={limit})") + + # Get all entities for the user + entities = DatabaseService.get_entities_by_user(user_id) + + # Filter entities based on the query and type + filtered_entities = [] + for entity in entities: + # Apply type filter if specified + if entity_type and entity["type"] != entity_type: + continue + + # Simple string matching for now + if (query.lower() in entity["name"].lower() or + any(query.lower() in str(value).lower() for value in entity["properties"].values())): + filtered_entities.append(entity) + + # Respect the limit + if len(filtered_entities) >= limit: + break + + return filtered_entities + except Exception as e: + logger.error(f"Error searching entities: {e}") + # Fall back to the original implementation + entities = await knowledge_source.search_entities(query, entity_type, limit) + return [entity.dict() for entity in entities] + +@mcp.tool() +async def get_entity(entity_id: str) -> dict: + """ + Get details about a specific entity by ID. + + Args: + entity_id: The ID of the entity to retrieve + + Returns: + Entity details or None if not found + """ + try: + # Try to get from database using a direct query + # Note: This is a simplified implementation. In a real app, you would have a proper get_entity_by_id method + conn = DatabaseService.get_connection() + from psycopg2.extras import RealDictCursor + cursor = conn.cursor(cursor_factory=RealDictCursor) + + cursor.execute(""" + SELECT id, name, type, properties, created_at, updated_at, user_id + FROM entities + WHERE id = %s + """, (entity_id,)) + + entity = cursor.fetchone() + cursor.close() + conn.close() + + if entity: + return dict(entity) + except Exception as e: + logger.error(f"Error getting entity from database: {e}") + + # Fall back to the original implementation + entity = await knowledge_source.get_entity(entity_id) + if entity: + return entity.dict() + return None + +@mcp.tool() +async def add_entity(entity_id: str, entity_type: str, properties: dict, user_id: str = None) -> str: + """ + Add a new entity to the knowledge graph. + + Args: + entity_id: Unique identifier for the entity (optional, will be generated if not provided) + entity_type: Type of the entity (e.g., "person", "organization") + properties: Dictionary of entity properties + user_id: Optional user ID (defaults to DEFAULT_USER_ID) + + Returns: + ID of the created entity + """ + try: + # First try to add to database + user_id = user_id or DEFAULT_USER_ID + logger.info(f"Adding entity for user {user_id}: {entity_type}") + + # Make sure we have a name property + if "name" not in properties and "title" in properties: + properties["name"] = properties["title"] + elif "name" not in properties: + properties["name"] = f"{entity_type}-{entity_id[:8] if entity_id else str(uuid.uuid4())[:8]}" + + # Create the entity in the database + entity = DatabaseService.create_entity( + name=properties["name"], + entity_type=entity_type, + properties=properties, + user_id=user_id + ) + + return entity["id"] + except Exception as e: + logger.error(f"Error adding entity to database: {e}") + # Fall back to the original implementation + from mcp_agent.integrations.graphiti_integration import KnowledgeEntity + + entity = KnowledgeEntity( + id=entity_id or str(uuid.uuid4()), + type=entity_type, + properties=properties + ) + + return await knowledge_source.add_entity(entity) + +@mcp.tool() +async def add_relation(source_id: str, target_id: str, relation_type: str, properties: dict = None, user_id: str = None) -> bool: + """ + Add a relation between two entities in the knowledge graph. + + Args: + source_id: ID of the source entity + target_id: ID of the target entity + relation_type: Type of relation (e.g., "works_for", "located_in") + properties: Optional properties for the relation + user_id: Optional user ID (defaults to DEFAULT_USER_ID) + + Returns: + True if successful, False otherwise + """ + try: + # First try to add to database + user_id = user_id or DEFAULT_USER_ID + logger.info(f"Adding relation for user {user_id}: {source_id} -> {target_id} ({relation_type})") + + # Create the relation in the database + relation = DatabaseService.create_relation( + relation_type=relation_type, + from_entity_id=source_id, + to_entity_id=target_id, + properties=properties or {}, + user_id=user_id + ) + + return True + except Exception as e: + logger.error(f"Error adding relation to database: {e}") + # Fall back to the original implementation + from mcp_agent.integrations.graphiti_integration import KnowledgeRelation + + relation = KnowledgeRelation( + source_id=source_id, + target_id=target_id, + type=relation_type, + properties=properties or {} + ) + + return await knowledge_source.add_relation(relation) + +if __name__ == "__main__": + mcp.run(transport="stdio") diff --git a/agent/langgraph.json b/agent/langgraph.json index 6fbfd9a..0769857 100644 --- a/agent/langgraph.json +++ b/agent/langgraph.json @@ -3,7 +3,7 @@ "dockerfile_lines": [], "dependencies": ["."], "graphs": { - "mcp-agent": "./mcp-agent/agent.py:graph" + "mcp-agent": "./mcp_agent/agent.py:graph" }, "env": ".env" } diff --git a/agent/mcp-agent/agent.py b/agent/mcp-agent/agent.py deleted file mode 100644 index 6b4e71b..0000000 --- a/agent/mcp-agent/agent.py +++ /dev/null @@ -1,140 +0,0 @@ -""" -This is the main entry point for the agent. -It defines the workflow graph, state, tools, nodes and edges. -""" - -from typing_extensions import Literal, TypedDict, Dict, List, Any, Union, Optional -from langchain_openai import ChatOpenAI -from langchain_core.runnables import RunnableConfig -from langgraph.graph import StateGraph, END -from langgraph.checkpoint.memory import MemorySaver -from langgraph.types import Command -from copilotkit import CopilotKitState -from langchain_mcp_adapters.client import MultiServerMCPClient -from langgraph.prebuilt import create_react_agent -from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder -import os - -# Define the connection type structures -class StdioConnection(TypedDict): - command: str - args: List[str] - transport: Literal["stdio"] - -class SSEConnection(TypedDict): - url: str - transport: Literal["sse"] - -# Type for MCP configuration -MCPConfig = Dict[str, Union[StdioConnection, SSEConnection]] - -class AgentState(CopilotKitState): - """ - Here we define the state of the agent - - In this instance, we're inheriting from CopilotKitState, which will bring in - the CopilotKitState fields. We're also adding a custom field, `mcp_config`, - which will be used to configure MCP services for the agent. - """ - # Define mcp_config as an optional field without skipping validation - mcp_config: Optional[MCPConfig] - -# Default MCP configuration to use when no configuration is provided in the state -# Uses relative paths that will work within the project structure -DEFAULT_MCP_CONFIG: MCPConfig = { - "math": { - "command": "python", - # Use a relative path that will be resolved based on the current working directory - "args": [os.path.join(os.path.dirname(__file__), "..", "math_server.py")], - "transport": "stdio", - }, -} - -# Define a custom ReAct prompt that encourages the use of multiple tools -MULTI_TOOL_REACT_PROMPT = ChatPromptTemplate.from_messages( - [ - ( - "system", - """You are an assistant that can use multiple tools to solve problems. -You should use a step-by-step approach, using as many tools as needed to find the complete answer. -Don't hesitate to call different tools sequentially if that helps reach a better solution. - -You have access to the following tools: - -{{tools}} - -To use a tool, please use the following format: -``` -Thought: I need to use a tool to help with this. -Action: tool_name -Action Input: the input to the tool -``` - -The observation will be returned in the following format: -``` -Observation: tool result -``` - -When you have the final answer, respond in the following format: -``` -Thought: I can now provide the final answer. -Final Answer: the final answer to the original input -``` - -Begin! -""" - ), - MessagesPlaceholder(variable_name="messages"), - ] -) - -async def chat_node(state: AgentState, config: RunnableConfig) -> Command[Literal["__end__"]]: - """ - This is an enhanced agent that uses a modified ReAct pattern to allow multiple tool use. - It handles both chat responses and sequential tool execution in one node. - """ - # Get MCP configuration from state, or use the default config if not provided - mcp_config = state.get("mcp_config", DEFAULT_MCP_CONFIG) - - # Set up the MCP client and tools using the configuration from state - async with MultiServerMCPClient(mcp_config) as mcp_client: - # Get the tools - mcp_tools = mcp_client.get_tools() - print(f"mcp_tools: {mcp_tools}") - - # Create a model instance - model = ChatOpenAI(model="gpt-4o") - - # Create the enhanced multi-tool react agent with our custom prompt - react_agent = create_react_agent( - model, - mcp_tools, - prompt=MULTI_TOOL_REACT_PROMPT - ) - - # Prepare messages for the react agent - agent_input = { - "messages": state["messages"] - } - - # Run the react agent subgraph with our input - agent_response = await react_agent.ainvoke(agent_input) - - print(f"agent_response: {agent_response}") - - # Update the state with the new messages - updated_messages = state["messages"] + agent_response.get("messages", []) - - # End the graph with the updated messages - return Command( - goto=END, - update={"messages": updated_messages}, - ) - -# Define the workflow graph with only a chat node -workflow = StateGraph(AgentState) -workflow.add_node("chat_node", chat_node) -workflow.set_entry_point("chat_node") - -# Compile the workflow graph -graph = workflow.compile(MemorySaver()) \ No newline at end of file diff --git a/agent/mcp-agent/__init__.py b/agent/mcp_agent/__init__.py similarity index 100% rename from agent/mcp-agent/__init__.py rename to agent/mcp_agent/__init__.py diff --git a/agent/mcp_agent/adapters/__init__.py b/agent/mcp_agent/adapters/__init__.py new file mode 100644 index 0000000..1352ead --- /dev/null +++ b/agent/mcp_agent/adapters/__init__.py @@ -0,0 +1,17 @@ +""" +Adapters for LangGraph and OpenAI Agents SDK integration. +""" + +from mcp_agent.adapters.openai_adapter import OpenAIAgentAdapter +from mcp_agent.adapters.langgraph_adapter import LangGraphAgentAdapter +from mcp_agent.adapters.tool_adapters import ( + adapt_langchain_tool_to_openai, + adapt_openai_tool_to_langchain +) + +__all__ = [ + "OpenAIAgentAdapter", + "LangGraphAgentAdapter", + "adapt_langchain_tool_to_openai", + "adapt_openai_tool_to_langchain" +] diff --git a/agent/mcp_agent/adapters/langgraph_adapter.py b/agent/mcp_agent/adapters/langgraph_adapter.py new file mode 100644 index 0000000..32bb182 --- /dev/null +++ b/agent/mcp_agent/adapters/langgraph_adapter.py @@ -0,0 +1,69 @@ +""" +Adapter for LangGraph integration. +This module provides adapters to use OpenAI Agents with LangGraph. +""" + +import logging +from typing import Dict, List, Any, Optional, Callable, Awaitable +import asyncio + +# Import shared state models +from mcp_agent.shared_state import langgraph_to_openai, openai_to_langgraph + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +class LangGraphAgentAdapter: + """ + Adapts OpenAI Agents to work with LangGraph. + This adapter allows using OpenAI Agents as LangGraph nodes. + """ + + def __init__(self, openai_agent: Any): + """ + Initialize the LangGraph Agent adapter. + + Args: + openai_agent: The OpenAI agent to adapt + """ + self.openai_agent = openai_agent + + async def __call__(self, state: Dict[str, Any]) -> Dict[str, Any]: + """ + Process the state using the OpenAI agent. + This function will be used as a LangGraph node. + + Args: + state: The LangGraph state + + Returns: + The updated LangGraph state + """ + if self.openai_agent is None: + logger.error("OpenAI agent not available. Cannot process state.") + return state + + # Import here to avoid circular imports and allow optional dependency + try: + from agents import Runner + + # Convert LangGraph state to OpenAI Agents format + openai_state = langgraph_to_openai(state) + + # Run the OpenAI agent + result = await Runner.run(self.openai_agent, openai_state.messages) + + # Convert result back to LangGraph format + return { + "messages": state["messages"] + result.new_messages, + "conversation_id": result.conversation_id or state.get("conversation_id"), + "trace_id": result.trace_id or state.get("trace_id"), + "mcp_config": state.get("mcp_config") + } + except ImportError: + logger.error("OpenAI Agents SDK not available. Cannot process state.") + return state + except Exception as e: + logger.error(f"Error processing state with OpenAI agent: {e}") + return state diff --git a/agent/mcp_agent/adapters/openai_adapter.py b/agent/mcp_agent/adapters/openai_adapter.py new file mode 100644 index 0000000..6490434 --- /dev/null +++ b/agent/mcp_agent/adapters/openai_adapter.py @@ -0,0 +1,80 @@ +""" +Adapter for OpenAI Agents SDK integration. +This module provides adapters to use OpenAI Agents SDK with the existing LangGraph architecture. +""" + +import logging +from typing import Dict, List, Any, Optional, Callable, Awaitable +import asyncio + +# Import shared state models +from mcp_agent.shared_state import langgraph_to_openai, openai_to_langgraph + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +class OpenAIAgentAdapter: + """ + Adapts our LangGraph agent to work with OpenAI Agents SDK. + This adapter allows using OpenAI Agents SDK with our existing architecture. + """ + + def __init__(self, name: str, instructions: str, tools: List[Any]): + """ + Initialize the OpenAI Agent adapter. + + Args: + name: The name of the agent + instructions: The instructions for the agent + tools: The tools available to the agent + """ + # Import here to avoid circular imports and allow optional dependency + try: + from agents import Agent as OpenAIAgent + self.openai_agent = OpenAIAgent( + name=name, + instructions=instructions, + tools=tools + ) + except ImportError: + logger.warning("OpenAI Agents SDK not installed. Using mock implementation.") + self.openai_agent = None + + async def process(self, state: Dict[str, Any]) -> Dict[str, Any]: + """ + Process the state using the OpenAI agent. + + Args: + state: The LangGraph state + + Returns: + The updated LangGraph state + """ + if self.openai_agent is None: + logger.error("OpenAI Agents SDK not available. Cannot process state.") + return state + + # Import here to avoid circular imports and allow optional dependency + try: + from agents import Runner + + # Convert LangGraph state to OpenAI Agents format + openai_state = langgraph_to_openai(state) + + # Run the OpenAI agent + result = await Runner.run(self.openai_agent, openai_state.messages) + + # Convert result back to LangGraph format + return { + "messages": state["messages"] + result.new_messages, + "conversation_id": result.conversation_id or state.get("conversation_id"), + "trace_id": result.trace_id or state.get("trace_id"), + "mcp_config": state.get("mcp_config") + } + except ImportError: + logger.error("OpenAI Agents SDK not available. Cannot process state.") + return state + except Exception as e: + logger.error(f"Error processing state with OpenAI agent: {e}") + return state diff --git a/agent/mcp_agent/adapters/tool_adapters.py b/agent/mcp_agent/adapters/tool_adapters.py new file mode 100644 index 0000000..77e54e0 --- /dev/null +++ b/agent/mcp_agent/adapters/tool_adapters.py @@ -0,0 +1,80 @@ +""" +Tool compatibility layer for LangGraph and OpenAI Agents SDK. +This module provides adapters to convert tools between LangGraph and OpenAI Agents SDK. +""" + +import logging +from typing import Dict, List, Any, Optional, Callable, Awaitable +import asyncio +import inspect + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +def adapt_langchain_tool_to_openai(lc_tool: Any) -> Callable: + """ + Convert a LangChain tool to an OpenAI Agents tool. + + Args: + lc_tool: The LangChain tool to convert + + Returns: + An OpenAI Agents compatible tool + """ + try: + # Import here to avoid circular imports and allow optional dependency + from agents import function_tool as openai_function_tool + + @openai_function_tool + async def adapted_tool(*args, **kwargs): + """Adapted LangChain tool.""" + # Handle both sync and async tools + if inspect.iscoroutinefunction(lc_tool.invoke): + return await lc_tool.invoke(*args, **kwargs) + else: + return lc_tool.invoke(*args, **kwargs) + + # Copy metadata + adapted_tool.__name__ = lc_tool.name + adapted_tool.__doc__ = lc_tool.description + + return adapted_tool + except ImportError: + logger.warning("OpenAI Agents SDK not installed. Returning mock tool.") + + async def mock_tool(*args, **kwargs): + logger.warning(f"Mock tool called: {lc_tool.name}") + return f"Mock response from {lc_tool.name}" + + return mock_tool + +def adapt_openai_tool_to_langchain(openai_tool: Callable) -> Any: + """ + Convert an OpenAI Agents tool to a LangChain tool. + + Args: + openai_tool: The OpenAI Agents tool to convert + + Returns: + A LangChain compatible tool + """ + try: + # Import here to avoid circular imports and allow optional dependency + from langchain.tools import Tool as LangChainTool + + async def _run(*args, **kwargs): + # Handle both sync and async tools + if inspect.iscoroutinefunction(openai_tool): + return await openai_tool(*args, **kwargs) + else: + return openai_tool(*args, **kwargs) + + return LangChainTool( + name=openai_tool.__name__, + description=openai_tool.__doc__, + func=_run + ) + except ImportError: + logger.warning("LangChain not installed. Returning None.") + return None diff --git a/agent/mcp_agent/agent.py b/agent/mcp_agent/agent.py new file mode 100644 index 0000000..26999dd --- /dev/null +++ b/agent/mcp_agent/agent.py @@ -0,0 +1,247 @@ +""" +This is the main entry point for the agent. +It defines the workflow graph, state, tools, nodes and edges. +""" + +import os +import uuid +import logging +from typing_extensions import Literal, TypedDict, Dict, List, Union, Optional +from langchain_openai import ChatOpenAI +from langchain_core.runnables import RunnableConfig +from langgraph.graph import StateGraph, END +from langgraph.checkpoint.memory import MemorySaver +from langgraph.types import Command +from copilotkit import CopilotKitState +from langchain_mcp_adapters.client import MultiServerMCPClient +from langgraph.prebuilt import create_react_agent +from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder +# Import LogfireLogger from the correct location +from mcp_agent.integrations.logfire_integration import LogfireLogger + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Define the connection type structures +class StdioConnection(TypedDict): + command: str + args: List[str] + transport: Literal["stdio"] + +class SSEConnection(TypedDict): + url: str + transport: Literal["sse"] + +# Type for MCP configuration +MCPConfig = Dict[str, Union[StdioConnection, SSEConnection]] + +class AgentState(CopilotKitState): + """ + Here we define the state of the agent + + In this instance, we're inheriting from CopilotKitState, which will bring in + the CopilotKitState fields. We're also adding custom fields for configuration. + """ + # Define mcp_config as an optional field without skipping validation + mcp_config: Optional[MCPConfig] + # Unique conversation ID for tracing + conversation_id: Optional[str] = None + # Trace ID for Logfire + trace_id: Optional[str] = None + +# Default MCP configuration to use when no configuration is provided in the state +# Uses relative paths that will work within the project structure +DEFAULT_MCP_CONFIG: MCPConfig = { + "math": { + "command": "python", + # Use a relative path that will be resolved based on the current working directory + "args": [os.path.join(os.path.dirname(__file__), "..", "math_server.py")], + "transport": "stdio", + }, + "knowledge": { + "command": "python", + "args": [os.path.join(os.path.dirname(__file__), "..", "knowledge_server.py")], + "transport": "stdio", + }, +} + +# Define a custom ReAct prompt that encourages the use of multiple tools +MULTI_TOOL_REACT_PROMPT = ChatPromptTemplate.from_messages( + [ + ( + "system", + """You are an assistant that can use multiple tools to solve problems. +You should use a step-by-step approach, using as many tools as needed to find the complete answer. +Don't hesitate to call different tools sequentially if that helps reach a better solution. + +You have access to the following tools: + +{{tools}} + +To use a tool, please use the following format: +``` +Thought: I need to use a tool to help with this. +Action: tool_name +Action Input: the input to the tool +``` + +The observation will be returned in the following format: +``` +Observation: tool result +``` + +When you have the final answer, respond in the following format: +``` +Thought: I can now provide the final answer. +Final Answer: the final answer to the original input +``` + +Begin! +""" + ), + MessagesPlaceholder(variable_name="messages"), + ] +) + +# Initialize Logfire logger +logfire_logger = LogfireLogger() + +async def chat_node(state: AgentState, config: RunnableConfig) -> Command[Literal["__end__"]]: + """ + This is an enhanced agent that uses a modified ReAct pattern to allow multiple tool use. + It handles both chat responses and sequential tool execution in one node. + """ + # Ensure we have a conversation ID and trace ID for logging + conversation_id = state.get("conversation_id") or str(uuid.uuid4()) + trace_id = state.get("trace_id") or str(uuid.uuid4()) + + # Get MCP configuration from state, or use the default config if not provided + mcp_config = state.get("mcp_config", DEFAULT_MCP_CONFIG) + + # Extract the latest user message for logging + latest_user_message = "" + if state["messages"] and len(state["messages"]) > 0: + for msg in reversed(state["messages"]): + if msg.get("role") == "user": + latest_user_message = msg.get("content", "") + break + + # Log the start of processing with Logfire + logfire_logger.log_event("chat_processing_started", { + "conversation_id": conversation_id, + "trace_id": trace_id, + "user_message": latest_user_message, + "message_count": len(state["messages"]), + }) + + # Set up the MCP client and tools using the configuration from state + async with logfire_logger.span("mcp_client_setup", { + "conversation_id": conversation_id, + "trace_id": trace_id, + }): + async with MultiServerMCPClient(mcp_config) as mcp_client: + # Get the tools + mcp_tools = mcp_client.get_tools() + logger.info(f"MCP tools loaded: {len(mcp_tools)} tools available") + + # Log tool information + tool_names = [tool.name for tool in mcp_tools] + logfire_logger.log_event("tools_loaded", { + "conversation_id": conversation_id, + "trace_id": trace_id, + "tool_count": len(mcp_tools), + "tool_names": tool_names, + }) + + # Create a model instance with Logfire tracing + model_name = "gpt-4o" + with logfire_logger.span("llm_setup", { + "conversation_id": conversation_id, + "trace_id": trace_id, + "model": model_name, + }): + model = ChatOpenAI(model=model_name) + + # Log model information + logfire_logger.log_event("model_initialized", { + "conversation_id": conversation_id, + "trace_id": trace_id, + "model": model_name, + }) + + # Create the enhanced multi-tool react agent with our custom prompt + react_agent = create_react_agent( + model, + mcp_tools, + prompt=MULTI_TOOL_REACT_PROMPT + ) + + # Prepare messages for the react agent + agent_input = { + "messages": state["messages"] + } + + # Run the react agent subgraph with our input and trace with Logfire + async with logfire_logger.span("agent_execution", { + "conversation_id": conversation_id, + "trace_id": trace_id, + "message_count": len(state["messages"]), + }): + try: + agent_response = await react_agent.ainvoke(agent_input) + + # Log successful agent response + logfire_logger.log_event("agent_execution_completed", { + "conversation_id": conversation_id, + "trace_id": trace_id, + "response_message_count": len(agent_response.get("messages", [])), + }) + except Exception as e: + # Log error if agent execution fails + logfire_logger.log_error(e, { + "conversation_id": conversation_id, + "trace_id": trace_id, + "error_location": "agent_execution", + }) + # Re-raise the exception + raise + + logger.info(f"Agent completed processing with {len(agent_response.get('messages', []))} response messages") + + # Update the state with the new messages + updated_messages = state["messages"] + agent_response.get("messages", []) + + # Extract agent's response for logging + agent_response_text = "" + if agent_response.get("messages"): + for msg in agent_response.get("messages", []): + if msg.get("role") == "assistant": + agent_response_text = msg.get("content", "") + break + + # Log completion + logfire_logger.log_event("chat_processing_completed", { + "conversation_id": conversation_id, + "trace_id": trace_id, + "total_message_count": len(updated_messages), + "response_length": len(agent_response_text), + }) + + # End the graph with the updated messages and trace IDs + return Command( + goto=END, + update={ + "messages": updated_messages, + "conversation_id": conversation_id, + "trace_id": trace_id, + }, + ) + +# Define the workflow graph with only a chat node +workflow = StateGraph(AgentState) +workflow.add_node("chat_node", chat_node) +workflow.set_entry_point("chat_node") + +# Compile the workflow graph +graph = workflow.compile(MemorySaver()) \ No newline at end of file diff --git a/agent/mcp_agent/agent_factory.py b/agent/mcp_agent/agent_factory.py new file mode 100644 index 0000000..373ff85 --- /dev/null +++ b/agent/mcp_agent/agent_factory.py @@ -0,0 +1,128 @@ +# Dynamic Agent Factory with modular backends +import os +import logging +from typing import Optional, Dict, Any, Union, Literal +from mcp_agent.integrations.mem0_integration import Mem0MemoryManager +from mcp_agent.integrations.memorysaver_manager import MemorySaverManager +from mcp_agent.integrations.litellm_integration import LiteLLMWrapper +from mcp_agent.integrations.a2a_integration import A2ACommunicator +from mcp_agent.integrations.graphiti_integration import GraphitiKnowledgeSource +from mcp_agent.integrations.logfire_integration import LogfireLogger + +from mcp_agent.integrations.base_memory import BaseMemoryManager + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +class AgentFactory: + """ + Factory for creating agents with modular, configurable backends. + Reads config/env to select memory, LLM, A2A, and knowledge backends. + """ + def __init__(self, config: Optional[Dict[str, Any]] = None): + self.config = config or self._load_config_from_env() + self.memory_backend = self.config.get("MEMORY_BACKEND", "memorysaver").lower() + self.llm_backend = self.config.get("LLM_BACKEND", "litellm").lower() + self.a2a_backend = self.config.get("A2A_BACKEND", "inmemory").lower() + self.knowledge_backend = self.config.get("KNOWLEDGE_BACKEND", "graphiti").lower() + self.logging_enabled = self.config.get("LOGGING_ENABLED", "true").lower() == "true" + self.logfire_project = self.config.get("LOGFIRE_PROJECT", "kb-multi-agent") + + # Initialize logger + self.logger = self._initialize_logger() + + def _load_config_from_env(self) -> Dict[str, Any]: + """Load backend config from environment variables.""" + return { + "MEMORY_BACKEND": os.getenv("MEMORY_BACKEND", "memorysaver"), + "LLM_BACKEND": os.getenv("LLM_BACKEND", "litellm"), + "A2A_BACKEND": os.getenv("A2A_BACKEND", "inmemory"), + "KNOWLEDGE_BACKEND": os.getenv("KNOWLEDGE_BACKEND", "graphiti"), + "DATABASE_BACKEND": os.getenv("DATABASE_BACKEND", "postgres"), + "LOGGING_ENABLED": os.getenv("LOGGING_ENABLED", "true"), + "LOGFIRE_PROJECT": os.getenv("LOGFIRE_PROJECT", "kb-multi-agent"), + "SUPABASE_URL": os.getenv("SUPABASE_URL", ""), + "SUPABASE_SERVICE_KEY": os.getenv("SUPABASE_SERVICE_KEY", ""), + } + + def _initialize_logger(self) -> LogfireLogger: + """Initialize the Logfire logger.""" + try: + return LogfireLogger( + project_name=self.logfire_project, + enabled=self.logging_enabled + ) + except Exception as e: + logger.warning(f"Failed to initialize Logfire logger: {e}") + # Return a disabled logger as fallback + return LogfireLogger(enabled=False) + + def get_memory_manager(self) -> BaseMemoryManager: + if self.memory_backend == "mem0": + return Mem0MemoryManager() + elif self.memory_backend == "memorysaver": + return MemorySaverManager() + else: + raise ValueError(f"Unknown memory backend: {self.memory_backend}") + + def get_llm_client(self) -> LiteLLMWrapper: + # Only LiteLLM implemented for now + if self.llm_backend == "litellm": + return LiteLLMWrapper() + else: + raise ValueError(f"Unknown LLM backend: {self.llm_backend}") + + def get_a2a_communicator(self) -> A2ACommunicator: + # Only in-memory implemented for now + if self.a2a_backend == "inmemory": + return A2ACommunicator() + else: + raise ValueError(f"Unknown A2A backend: {self.a2a_backend}") + + def get_knowledge_source(self): + """Get the configured knowledge source based on KNOWLEDGE_BACKEND setting""" + if self.knowledge_backend == "graphiti": + return GraphitiKnowledgeSource() + else: + return None + + def get_logger(self) -> LogfireLogger: + """Get the configured logger""" + return self.logger + + def create_agent(self, agent_class, **kwargs): + """ + Instantiate an agent with the selected backends injected. + agent_class: the class of the agent to instantiate. + kwargs: any additional arguments for the agent. + """ + memory = self.get_memory_manager() + llm = self.get_llm_client() + a2a = self.get_a2a_communicator() + knowledge = self.get_knowledge_source() + logger = self.get_logger() + + # Log agent creation + agent_id = kwargs.get("agent_id", "unknown") + logger.log_event("agent_created", { + "agent_id": agent_id, + "agent_class": agent_class.__name__, + "memory_backend": self.memory_backend, + "llm_backend": self.llm_backend, + "a2a_backend": self.a2a_backend, + "knowledge_backend": self.knowledge_backend + }) + + return agent_class( + memory=memory, + llm=llm, + a2a=a2a, + knowledge=knowledge, + logger=logger, + **kwargs + ) + +# Example usage: +# factory = AgentFactory() +# my_agent = factory.create_agent(MyAgentClass, agent_id="agent-123") \ No newline at end of file diff --git a/agent/mcp_agent/custom_server.py b/agent/mcp_agent/custom_server.py new file mode 100644 index 0000000..1db70cc --- /dev/null +++ b/agent/mcp_agent/custom_server.py @@ -0,0 +1,537 @@ +""" +Custom server script for the MCP Agent. +This creates a standalone FastAPI server with health endpoint and LangGraph integration. +""" + +import os +import sys +import logging +import importlib +import datetime +from enum import Enum +from pathlib import Path +from typing import Dict, Any, Optional +from fastapi import FastAPI, Request, Depends, HTTPException +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import JSONResponse +from pydantic import BaseModel + +# Import structured logger +try: + from mcp_agent.logging import get_logger + use_structured_logger = True +except ImportError: + use_structured_logger = False + logging.warning("Could not import structured logger, using standard logging") + +# Import database status module +try: + from mcp_agent.database_status import router as database_router +except ImportError: + logging.warning("Could not import database_status module") + database_router = None + +# Import API endpoints +try: + from mcp_agent.api import api_router + logging.info("Successfully imported API endpoints") +except ImportError as e: + logging.warning(f"Could not import API endpoints: {e}") + api_router = None + +# Initialize Sentry if available +try: + # Check if sentry_sdk is installed + import importlib.util + sentry_spec = importlib.util.find_spec("sentry_sdk") + + if sentry_spec is not None: + import sentry_sdk + + # Check if FastAPI integration is available + try: + from sentry_sdk.integrations.fastapi import FastApiIntegration + fastapi_integration_available = True + except ImportError: + fastapi_integration_available = False + logging.warning("Sentry FastAPI integration not available, using basic integration") + + # Get Sentry DSN from environment variable + sentry_dsn = os.environ.get("SENTRY_DSN", "https://5226a48fca35002ddf73181cc626b278@o4508916501970944.ingest.de.sentry.io/4509203568525392") + + if sentry_dsn: + # Initialize with appropriate options based on available features + init_kwargs = { + "dsn": sentry_dsn, + "send_default_pii": True, + "environment": os.environ.get("ENVIRONMENT", "development"), + "release": "kb-multi-agent@0.1.0", + } + + # Add performance monitoring if available in this version + try: + # Test if these options are supported + init_kwargs["traces_sample_rate"] = 1.0 + init_kwargs["profile_session_sample_rate"] = 1.0 + init_kwargs["profile_lifecycle"] = "trace" + except Exception as e: + logging.warning(f"Some Sentry performance options not supported: {e}") + + # Initialize Sentry + sentry_sdk.init(**init_kwargs) + logging.info("Sentry integration initialized") + else: + logging.warning("Sentry DSN not found, Sentry integration disabled") + else: + logging.warning("Sentry SDK not installed, Sentry integration disabled") +except Exception as e: + logging.warning(f"Error initializing Sentry: {e}") + +# Configure logging +if use_structured_logger: + logger = get_logger(__name__, log_to_file=True, log_dir="logs") +else: + logging.basicConfig(level=logging.INFO) + logger = logging.getLogger(__name__) + +# Define models for API requests and responses +class GraphRequest(BaseModel): + inputs: Dict[str, Any] + config: Optional[Dict[str, Any]] = None + +class GraphResponse(BaseModel): + outputs: Dict[str, Any] + +class FrameworkMode(str, Enum): + LANGGRAPH = "langgraph" + OPENAI_AGENTS = "openai_agents" + HYBRID = "hybrid" + +# Create a new FastAPI app +app = FastAPI( + title="MCP Agent Server", + description="Custom server with LangGraph integration and health endpoint", + version="0.1.0" +) + + +def create_app(): + """Create a FastAPI app with LangGraph integration and health endpoint.""" + # Get the current directory (mcp_agent) + current_dir = Path(__file__).parent + + # Get the parent directory (agent) + agent_dir = current_dir.parent + + # Change to the agent directory + os.chdir(agent_dir) + + # Log the app creation + logger.info(f"Created FastAPI app for MCP Agent server") + + # Add CORS middleware + app.add_middleware( + CORSMiddleware, + allow_origins=["*"], # In production, you should restrict this + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + # Add an enhanced health endpoint + @app.get("/health") + async def health_check(): + # Check if LangGraph is available + langgraph_available = False + try: + # First check if langgraph is installed + import importlib.util + spec = importlib.util.find_spec("langgraph") + if spec is not None: + logger.info("LangGraph package is installed") + # Now try to import the graph from agent.py + try: + from mcp_agent.agent import graph + langgraph_available = True + logger.info("Successfully imported graph from mcp_agent.agent") + except Exception as e: + logger.warning(f"Error importing graph from mcp_agent.agent: {e}") + # Even if we can't import the graph, if LangGraph is installed, mark it as available + langgraph_available = True + else: + logger.warning("LangGraph package is not installed") + except Exception as e: + logger.warning(f"Error checking LangGraph availability: {e}") + + # Check if OpenAI Agents SDK is available + openai_agents_available = False + try: + # Try the newer import path first (0.1.0+) + try: + import importlib.util + spec = importlib.util.find_spec("openai.agents") + openai_agents_available = spec is not None + if openai_agents_available: + logger.info("OpenAI Agents SDK detected (openai.agents)") + except ImportError: + # Try the older import path (0.0.x) + import importlib.util + spec = importlib.util.find_spec("agents") + openai_agents_available = spec is not None + if openai_agents_available: + logger.info("OpenAI Agents SDK detected (agents)") + + # Try the openai-agents package + if not openai_agents_available: + spec = importlib.util.find_spec("openai_agents") + openai_agents_available = spec is not None + if openai_agents_available: + logger.info("OpenAI Agents SDK detected (openai_agents)") + except ImportError: + logger.warning("OpenAI Agents SDK not available") + + # Check if adapters are available + adapters_available = False + try: + from mcp_agent.adapters import OpenAIAgentAdapter + adapters_available = True + except ImportError: + pass + + # Check if knowledge server is available + knowledge_server_available = False + try: + import importlib.util + spec = importlib.util.find_spec("mcp_agent.integrations.graphiti_integration") + knowledge_server_available = spec is not None + except ImportError: + pass + + # Check if math server is available + math_server_available = False + try: + import os + math_server_path = os.path.join(os.path.dirname(__file__), "..", "math_server.py") + math_server_available = os.path.exists(math_server_path) + except Exception: + pass + + # Get system info + import platform + import sys + + # Get current framework mode + framework_mode = os.environ.get("FRAMEWORK", "langgraph").lower() + + return { + "status": "ok", + "message": "MCP Agent backend is running", + "timestamp": datetime.datetime.now().isoformat(), + "version": "0.1.0", + "framework": framework_mode, + "services": { + "langgraph": { + "available": langgraph_available, + "status": "ok" if langgraph_available else "unavailable" + }, + "openai_agents": { + "available": openai_agents_available, + "status": "ok" if openai_agents_available else "unavailable", + "features": { + "tracing": os.environ.get("OPENAI_AGENTS_TRACING_ENABLED", "false").lower() == "true", + "voice": os.environ.get("OPENAI_AGENTS_VOICE_ENABLED", "false").lower() == "true", + "parallel": os.environ.get("OPENAI_AGENTS_PARALLEL_ENABLED", "false").lower() == "true", + "litellm": os.environ.get("OPENAI_AGENTS_LITELLM_ENABLED", "true").lower() == "true" + } + }, + "adapters": { + "available": adapters_available, + "status": "ok" if adapters_available else "unavailable" + }, + "knowledge_server": { + "available": knowledge_server_available, + "status": "ok" if knowledge_server_available else "unavailable" + }, + "math_server": { + "available": math_server_available, + "status": "ok" if math_server_available else "unavailable" + } + }, + "system": { + "python_version": sys.version, + "platform": platform.platform(), + "processor": platform.processor() + } + } + + # Add an endpoint to list all available routes (useful for debugging) + @app.get("/routes") + async def list_routes(): + routes = [] + for route in app.routes: + route_info = { + "path": route.path, + "name": route.name, + "methods": list(route.methods) if hasattr(route, 'methods') else [] + } + routes.append(route_info) + return {"routes": routes} + + # Add a frontend connection check endpoint + @app.get("/connection/frontend") + async def check_frontend_connection(): + # Try to import httpx, fall back to using requests if not available + try: + import httpx + async_http_available = True + except ImportError: + import requests + async_http_available = False + + frontend_url = os.environ.get("FRONTEND_URL", "http://localhost:3000") + + if async_http_available: + try: + async with httpx.AsyncClient(timeout=2.0) as client: + response = await client.get(frontend_url) + return { + "status": "connected" if response.status_code < 400 else "error", + "frontend_url": frontend_url, + "status_code": response.status_code, + "timestamp": datetime.datetime.now().isoformat() + } + except Exception as e: + return { + "status": "disconnected", + "frontend_url": frontend_url, + "error": str(e), + "timestamp": datetime.datetime.now().isoformat() + } + else: + # Fallback to synchronous requests + try: + response = requests.get(frontend_url, timeout=2.0) + return { + "status": "connected" if response.status_code < 400 else "error", + "frontend_url": frontend_url, + "status_code": response.status_code, + "timestamp": datetime.datetime.now().isoformat(), + "note": "Using synchronous requests (httpx not available)" + } + except Exception as e: + return { + "status": "disconnected", + "frontend_url": frontend_url, + "error": str(e), + "timestamp": datetime.datetime.now().isoformat(), + "note": "Using synchronous requests (httpx not available)" + } + + # Add a root endpoint + @app.get("/") + async def root(): + # Get health information + health_info = await health_check() + + # Try to check frontend connection + try: + frontend_connection = await check_frontend_connection() + except Exception as e: + frontend_connection = {"status": "error", "error": str(e)} + + return { + "name": "MCP Agent Server", + "version": "0.1.0", + "status": "running", + "timestamp": datetime.datetime.now().isoformat(), + "health": health_info, + "frontend_connection": frontend_connection, + "endpoints": [ + {"path": "/health", "method": "GET", "description": "Health check endpoint"}, + {"path": "/routes", "method": "GET", "description": "List all available routes"}, + {"path": "/connection/frontend", "method": "GET", "description": "Check frontend connection"}, + {"path": "/", "method": "GET", "description": "Root endpoint with server information"} + ] + } + + # Add configuration endpoint to set the framework mode + @app.post("/config/mode") + async def set_mode(mode: FrameworkMode): + # Store the mode in an environment variable + os.environ["FRAMEWORK"] = mode.value + return {"mode": mode.value} + + # Add LangGraph integration endpoints + try: + from mcp_agent.agent import graph + + @app.post("/v1/graphs/mcp-agent/invoke") + async def invoke_graph(request: GraphRequest): + try: + # Get current framework mode + framework_mode = os.environ.get("FRAMEWORK", "langgraph").lower() + + if framework_mode == "openai_agents": + # Use OpenAI Agents processing if available + try: + from mcp_agent.adapters import OpenAIAgentAdapter + from mcp_agent.agent_factory import AgentFactory + + # Create an agent factory with the current framework mode + factory = AgentFactory() + + # Get the agent instructions from the request if available + instructions = request.config.get("instructions", "You are a helpful assistant.") if request.config else "You are a helpful assistant." + + # Get advanced OpenAI Agents SDK features from the request if available + enable_tracing = request.config.get("enable_tracing", False) if request.config else False + enable_voice = request.config.get("enable_voice", False) if request.config else False + enable_parallel = request.config.get("enable_parallel", False) if request.config else False + enable_litellm = request.config.get("enable_litellm", True) if request.config else True + + # Create an OpenAI agent + agent = factory._create_openai_agent( + agent_id="mcp-agent", + memory=factory.get_memory_manager(), + llm=factory.get_llm_client(), + a2a=factory.get_a2a_communicator(), + knowledge=factory.get_knowledge_source(), + logger=factory.get_logger(), + instructions=instructions, + enable_tracing=enable_tracing, + enable_voice=enable_voice, + enable_parallel=enable_parallel, + enable_litellm=enable_litellm + ) + + # Process the request with the OpenAI agent + result = await agent.process(request.inputs) + return GraphResponse(outputs=result) + except ImportError as e: + logger.warning(f"OpenAI Agents processing failed: {e}, falling back to LangGraph") + # Fall back to LangGraph processing + result = await graph.ainvoke(request.inputs, request.config) + return GraphResponse(outputs=result) + except Exception as e: + logger.error(f"Error invoking OpenAI agent: {e}") + raise HTTPException(status_code=500, detail=str(e)) + elif framework_mode == "hybrid": + # Try OpenAI Agents first, fall back to LangGraph + try: + from mcp_agent.adapters import OpenAIAgentAdapter + from mcp_agent.agent_factory import AgentFactory + + # Create an agent factory with the current framework mode + factory = AgentFactory() + + # Get the agent instructions from the request if available + instructions = request.config.get("instructions", "You are a helpful assistant.") if request.config else "You are a helpful assistant." + + # Get advanced OpenAI Agents SDK features from the request if available + enable_tracing = request.config.get("enable_tracing", False) if request.config else False + enable_voice = request.config.get("enable_voice", False) if request.config else False + enable_parallel = request.config.get("enable_parallel", False) if request.config else False + enable_litellm = request.config.get("enable_litellm", True) if request.config else True + + # Create an OpenAI agent + agent = factory._create_openai_agent( + agent_id="mcp-agent", + memory=factory.get_memory_manager(), + llm=factory.get_llm_client(), + a2a=factory.get_a2a_communicator(), + knowledge=factory.get_knowledge_source(), + logger=factory.get_logger(), + instructions=instructions, + enable_tracing=enable_tracing, + enable_voice=enable_voice, + enable_parallel=enable_parallel, + enable_litellm=enable_litellm + ) + + # Process the request with the OpenAI agent + result = await agent.process(request.inputs) + return GraphResponse(outputs=result) + except Exception as e: + logger.warning(f"OpenAI Agents processing failed: {e}, falling back to LangGraph") + # Fall back to LangGraph processing + result = await graph.ainvoke(request.inputs, request.config) + return GraphResponse(outputs=result) + else: + # Use LangGraph processing (default) + result = await graph.ainvoke(request.inputs, request.config) + return GraphResponse(outputs=result) + except Exception as e: + logger.error(f"Error invoking graph: {e}") + raise HTTPException(status_code=500, detail=str(e)) + except ImportError as e: + logger.warning(f"Could not import graph from mcp_agent.agent: {e}") + logger.warning("LangGraph integration endpoints will not be available") + + # Add a Sentry test endpoint + @app.get("/sentry-debug") + async def trigger_error(): + """Endpoint to test Sentry integration by triggering an error.""" + # Check if Sentry is available + sentry_available = False + try: + import sentry_sdk + sentry_available = True + except ImportError: + pass + + try: + # Intentionally trigger a division by zero error + division_by_zero = 1 / 0 + return {"result": division_by_zero} + except Exception as e: + logger.error(f"Sentry test error: {e}") + + # Add Sentry status to the error response + if sentry_available: + logger.info("Error captured by Sentry") + raise HTTPException( + status_code=500, + detail={ + "error": str(e), + "sentry_status": "Error captured and sent to Sentry" + } + ) + else: + logger.warning("Sentry not available, error not captured") + raise HTTPException( + status_code=500, + detail={ + "error": str(e), + "sentry_status": "Sentry not available, error not captured" + } + ) + + # Add global exception handler to provide better error messages + @app.exception_handler(Exception) + async def global_exception_handler(request: Request, exc: Exception): + logger.error(f"Global exception handler caught: {exc}") + return JSONResponse( + status_code=500, + content={ + "error": str(exc), + "type": str(type(exc).__name__), + "path": request.url.path + } + ) + + # Include database router if available + if database_router: + logger.info("Including database status endpoints") + app.include_router(database_router) + + # Include API endpoints if available + if api_router: + logger.info("Including API endpoints") + app.include_router(api_router, prefix="/api") + + # Log all available routes + logger.info(f"Available routes:") + for route in app.routes: + logger.info(f" {route.path} [{','.join(route.methods) if hasattr(route, 'methods') else 'N/A'}]") + + return app diff --git a/agent/mcp_agent/custom_server_entry.py b/agent/mcp_agent/custom_server_entry.py new file mode 100644 index 0000000..78ff6c6 --- /dev/null +++ b/agent/mcp_agent/custom_server_entry.py @@ -0,0 +1,98 @@ +""" +Entry point for the custom server with health endpoint. +This script attempts to start the custom server with LangGraph integration. +If that fails, it falls back to a simple health server. +""" + +import sys +import os +import time +import platform +import traceback +import uvicorn +import logging +from pathlib import Path + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +def run_custom_server(): + """Run the custom server with health endpoint.""" + try: + # Get the current directory (mcp_agent) + current_dir = Path(__file__).parent + + # Get the parent directory (agent) + agent_dir = current_dir.parent + + # Change to the agent directory + os.chdir(agent_dir) + + # Log system information + logger.info(f"Starting MCP Agent server") + logger.info(f"Python version: {sys.version}") + logger.info(f"Platform: {platform.platform()}") + logger.info(f"Working directory: {os.getcwd()}") + + print(f"Starting custom MCP Agent server on http://localhost:8123") + print(f"Health endpoint available at http://localhost:8123/health") + + # Try to run the custom server + try: + logger.info("Attempting to start custom server with LangGraph integration") + + # Check if the custom_server module can be imported + try: + from mcp_agent import custom_server + logger.info("Successfully imported custom_server module") + except ImportError as ie: + logger.error(f"Failed to import custom_server module: {ie}") + raise + + # Start the server with more stable configuration on port 8124 + # Using a different port to avoid conflicts + port = 8124 + print(f"Starting custom MCP Agent server on http://localhost:{port}") + print(f"Health endpoint available at http://localhost:{port}/health") + print(f"LangGraph endpoint available at http://localhost:{port}/v1/graphs/mcp-agent/invoke") + uvicorn.run( + "mcp_agent.custom_server:create_app", + host="localhost", + port=port, + factory=True, + reload=False, # Disable auto-reload to avoid issues + log_level="info", + access_log=True, + timeout_keep_alive=65 # Increase keep-alive timeout + ) + except Exception as e: + logger.error(f"Failed to start custom server: {e}") + logger.error(f"Exception type: {type(e).__name__}") + logger.error(f"Traceback: {traceback.format_exc()}") + logger.info("Falling back to simple health server") + print(f"\nFalling back to simple health server...") + + # Wait a moment to ensure any port conflicts are resolved + time.sleep(1) + + # Run the enhanced health server as fallback + try: + from mcp_agent.health_server import run_server + run_server() + except Exception as health_error: + logger.critical(f"Failed to start fallback health server: {health_error}") + logger.critical(f"Traceback: {traceback.format_exc()}") + print(f"\nCritical error: Failed to start any server") + sys.exit(1) + + except KeyboardInterrupt: + print("\nServer stopped by user.") + except Exception as e: + logger.critical(f"Unhandled exception: {e}") + logger.critical(f"Traceback: {traceback.format_exc()}") + print(f"\nError starting any server: {e}") + sys.exit(1) + +if __name__ == "__main__": + run_custom_server() diff --git a/agent/mcp_agent/database/__init__.py b/agent/mcp_agent/database/__init__.py new file mode 100644 index 0000000..ca2ebad --- /dev/null +++ b/agent/mcp_agent/database/__init__.py @@ -0,0 +1 @@ +# Database module initialization diff --git a/agent/mcp_agent/database/init_db.py b/agent/mcp_agent/database/init_db.py new file mode 100644 index 0000000..d3af9c7 --- /dev/null +++ b/agent/mcp_agent/database/init_db.py @@ -0,0 +1,24 @@ +""" +Database initialization script. +Run this script to initialize the database with the required tables. +""" + +import logging +from mcp_agent.database.service import DatabaseService + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +def main(): + """Initialize the database.""" + try: + logger.info("Initializing database...") + DatabaseService.initialize_database() + logger.info("Database initialized successfully") + except Exception as e: + logger.error(f"Error initializing database: {e}") + raise + +if __name__ == "__main__": + main() diff --git a/agent/mcp_agent/database/service.py b/agent/mcp_agent/database/service.py new file mode 100644 index 0000000..70314b7 --- /dev/null +++ b/agent/mcp_agent/database/service.py @@ -0,0 +1,278 @@ +""" +Database service for the MCP Agent. +This module provides functions to interact with the PostgreSQL database. +""" + +import os +import json +import logging +from typing import Dict, List, Any, Optional +import psycopg2 +from psycopg2.extras import RealDictCursor +from dotenv import load_dotenv + +# Load environment variables +load_dotenv() + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Database connection parameters +DB_URL = os.getenv("DIRECT_URL") + +def get_connection(): + """Get a database connection.""" + try: + conn = psycopg2.connect(DB_URL) + return conn + except Exception as e: + logger.error(f"Error connecting to database: {e}") + raise + +class DatabaseService: + """Service for interacting with the database.""" + + @staticmethod + def get_connection(): + """Get a database connection.""" + return get_connection() + + @staticmethod + def initialize_database(): + """Initialize the database with required tables if they don't exist.""" + try: + conn = get_connection() + cursor = conn.cursor() + + # Create users table + cursor.execute(""" + CREATE TABLE IF NOT EXISTS users ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + email VARCHAR(255) UNIQUE NOT NULL, + name VARCHAR(255), + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """) + + # Create sessions table + cursor.execute(""" + CREATE TABLE IF NOT EXISTS sessions ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + user_id UUID REFERENCES users(id) ON DELETE CASCADE, + expires_at TIMESTAMP NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """) + + # Create entities table + cursor.execute(""" + CREATE TABLE IF NOT EXISTS entities ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + name VARCHAR(255) NOT NULL, + type VARCHAR(255) NOT NULL, + properties JSONB DEFAULT '{}', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + user_id UUID REFERENCES users(id) ON DELETE CASCADE + ) + """) + + # Create relations table + cursor.execute(""" + CREATE TABLE IF NOT EXISTS relations ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + type VARCHAR(255) NOT NULL, + properties JSONB DEFAULT '{}', + from_entity_id UUID REFERENCES entities(id) ON DELETE CASCADE, + to_entity_id UUID REFERENCES entities(id) ON DELETE CASCADE, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + user_id UUID REFERENCES users(id) ON DELETE CASCADE + ) + """) + + conn.commit() + logger.info("Database initialized successfully") + except Exception as e: + logger.error(f"Error initializing database: {e}") + if conn: + conn.rollback() + raise + finally: + if cursor: + cursor.close() + if conn: + conn.close() + + @staticmethod + def create_user(email: str, name: Optional[str] = None) -> Dict[str, Any]: + """Create a new user.""" + try: + conn = get_connection() + cursor = conn.cursor(cursor_factory=RealDictCursor) + + cursor.execute(""" + INSERT INTO users (email, name) + VALUES (%s, %s) + RETURNING id, email, name, created_at, updated_at + """, (email, name)) + + user = cursor.fetchone() + conn.commit() + return dict(user) + except Exception as e: + logger.error(f"Error creating user: {e}") + if conn: + conn.rollback() + raise + finally: + if cursor: + cursor.close() + if conn: + conn.close() + + @staticmethod + def get_user_by_email(email: str) -> Optional[Dict[str, Any]]: + """Get a user by email.""" + try: + conn = get_connection() + cursor = conn.cursor(cursor_factory=RealDictCursor) + + cursor.execute(""" + SELECT id, email, name, created_at, updated_at + FROM users + WHERE email = %s + """, (email,)) + + user = cursor.fetchone() + return dict(user) if user else None + except Exception as e: + logger.error(f"Error getting user by email: {e}") + raise + finally: + if cursor: + cursor.close() + if conn: + conn.close() + + @staticmethod + def create_entity(name: str, entity_type: str, properties: Dict[str, Any], user_id: str) -> Dict[str, Any]: + """Create a new entity.""" + try: + conn = get_connection() + cursor = conn.cursor(cursor_factory=RealDictCursor) + + cursor.execute(""" + INSERT INTO entities (name, type, properties, user_id) + VALUES (%s, %s, %s, %s) + RETURNING id, name, type, properties, created_at, updated_at, user_id + """, (name, entity_type, json.dumps(properties), user_id)) + + entity = cursor.fetchone() + conn.commit() + return dict(entity) + except Exception as e: + logger.error(f"Error creating entity: {e}") + if conn: + conn.rollback() + raise + finally: + if cursor: + cursor.close() + if conn: + conn.close() + + @staticmethod + def get_entities_by_user(user_id: str) -> List[Dict[str, Any]]: + """Get all entities for a user.""" + try: + conn = get_connection() + cursor = conn.cursor(cursor_factory=RealDictCursor) + + cursor.execute(""" + SELECT id, name, type, properties, created_at, updated_at, user_id + FROM entities + WHERE user_id = %s + ORDER BY created_at DESC + """, (user_id,)) + + entities = cursor.fetchall() + return [dict(entity) for entity in entities] + except Exception as e: + logger.error(f"Error getting entities by user: {e}") + raise + finally: + if cursor: + cursor.close() + if conn: + conn.close() + + @staticmethod + def create_relation(relation_type: str, from_entity_id: str, to_entity_id: str, + properties: Dict[str, Any], user_id: str) -> Dict[str, Any]: + """Create a new relation between entities.""" + try: + conn = get_connection() + cursor = conn.cursor(cursor_factory=RealDictCursor) + + cursor.execute(""" + INSERT INTO relations (type, from_entity_id, to_entity_id, properties, user_id) + VALUES (%s, %s, %s, %s, %s) + RETURNING id, type, from_entity_id, to_entity_id, properties, created_at, updated_at, user_id + """, (relation_type, from_entity_id, to_entity_id, json.dumps(properties), user_id)) + + relation = cursor.fetchone() + conn.commit() + return dict(relation) + except Exception as e: + logger.error(f"Error creating relation: {e}") + if conn: + conn.rollback() + raise + finally: + if cursor: + cursor.close() + if conn: + conn.close() + + @staticmethod + def get_relations_by_user(user_id: str) -> List[Dict[str, Any]]: + """Get all relations for a user.""" + try: + conn = get_connection() + cursor = conn.cursor(cursor_factory=RealDictCursor) + + cursor.execute(""" + SELECT id, type, from_entity_id, to_entity_id, properties, created_at, updated_at, user_id + FROM relations + WHERE user_id = %s + ORDER BY created_at DESC + """, (user_id,)) + + relations = cursor.fetchall() + return [dict(relation) for relation in relations] + except Exception as e: + logger.error(f"Error getting relations by user: {e}") + raise + finally: + if cursor: + cursor.close() + if conn: + conn.close() + + @staticmethod + def get_knowledge_graph(user_id: str) -> Dict[str, Any]: + """Get the complete knowledge graph for a user.""" + try: + entities = DatabaseService.get_entities_by_user(user_id) + relations = DatabaseService.get_relations_by_user(user_id) + + return { + "entities": entities, + "relations": relations + } + except Exception as e: + logger.error(f"Error getting knowledge graph: {e}") + raise diff --git a/agent/mcp_agent/database/supabase_service.py b/agent/mcp_agent/database/supabase_service.py new file mode 100644 index 0000000..5adc46b --- /dev/null +++ b/agent/mcp_agent/database/supabase_service.py @@ -0,0 +1,250 @@ +""" +Supabase service for the MCP Agent. +This module provides functions to interact with the Supabase database. +""" + +import os +import json +import logging +import uuid +import requests +from typing import Dict, List, Any, Optional +from dotenv import load_dotenv + +# Load environment variables +load_dotenv() + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Supabase connection parameters +SUPABASE_URL = os.getenv("SUPABASE_URL") +SUPABASE_KEY = os.getenv("SUPABASE_SERVICE_KEY") + +class SupabaseService: + """Service for interacting with the Supabase database.""" + + @staticmethod + def _get_headers(): + """Get the headers for Supabase API requests.""" + return { + "apikey": SUPABASE_KEY, + "Authorization": f"Bearer {SUPABASE_KEY}", + "Content-Type": "application/json", + "Prefer": "return=representation" + } + + @staticmethod + def initialize_database(): + """Initialize the database with required tables if they don't exist. + + Note: This is a no-op for Supabase as tables should be created through the Supabase dashboard + or migrations. This method is kept for compatibility with the previous implementation. + """ + logger.info("Supabase database initialization is handled through migrations or the dashboard") + return True + + @staticmethod + def create_user(email: str, name: Optional[str] = None) -> Dict[str, Any]: + """Create a new user.""" + try: + user_id = str(uuid.uuid4()) + data = { + "id": user_id, + "email": email, + "name": name + } + + response = requests.post( + f"{SUPABASE_URL}/rest/v1/users", + headers=SupabaseService._get_headers(), + json=data + ) + + response.raise_for_status() + return response.json()[0] + except Exception as e: + logger.error(f"Error creating user: {e}") + raise + + @staticmethod + def get_user_by_email(email: str) -> Optional[Dict[str, Any]]: + """Get a user by email.""" + try: + response = requests.get( + f"{SUPABASE_URL}/rest/v1/users", + headers=SupabaseService._get_headers(), + params={"email": f"eq.{email}"} + ) + + response.raise_for_status() + users = response.json() + + if users and len(users) > 0: + return users[0] + return None + except Exception as e: + logger.error(f"Error getting user by email: {e}") + raise + + @staticmethod + def create_entity(name: str, entity_type: str, properties: Dict[str, Any], user_id: str) -> Dict[str, Any]: + """Create a new entity.""" + try: + data = { + "name": name, + "type": entity_type, + "properties": properties, + "user_id": user_id + } + + response = requests.post( + f"{SUPABASE_URL}/rest/v1/entities", + headers=SupabaseService._get_headers(), + json=data + ) + + response.raise_for_status() + return response.json()[0] + except Exception as e: + logger.error(f"Error creating entity: {e}") + raise + + @staticmethod + def get_entities_by_user(user_id: str) -> List[Dict[str, Any]]: + """Get all entities for a user.""" + try: + response = requests.get( + f"{SUPABASE_URL}/rest/v1/entities", + headers=SupabaseService._get_headers(), + params={"user_id": f"eq.{user_id}"} + ) + + response.raise_for_status() + return response.json() + except Exception as e: + logger.error(f"Error getting entities by user: {e}") + raise + + @staticmethod + def create_relation(relation_type: str, from_entity_id: str, to_entity_id: str, + properties: Dict[str, Any], user_id: str) -> Dict[str, Any]: + """Create a new relation between entities.""" + try: + data = { + "type": relation_type, + "from_entity_id": from_entity_id, + "to_entity_id": to_entity_id, + "properties": properties, + "user_id": user_id + } + + response = requests.post( + f"{SUPABASE_URL}/rest/v1/relations", + headers=SupabaseService._get_headers(), + json=data + ) + + response.raise_for_status() + return response.json()[0] + except Exception as e: + logger.error(f"Error creating relation: {e}") + raise + + @staticmethod + def get_relations_by_user(user_id: str) -> List[Dict[str, Any]]: + """Get all relations for a user.""" + try: + response = requests.get( + f"{SUPABASE_URL}/rest/v1/relations", + headers=SupabaseService._get_headers(), + params={"user_id": f"eq.{user_id}"} + ) + + response.raise_for_status() + return response.json() + except Exception as e: + logger.error(f"Error getting relations by user: {e}") + raise + + @staticmethod + def get_knowledge_graph(user_id: str) -> Dict[str, Any]: + """Get the complete knowledge graph for a user.""" + try: + entities = SupabaseService.get_entities_by_user(user_id) + relations = SupabaseService.get_relations_by_user(user_id) + + return { + "entities": entities, + "relations": relations + } + except Exception as e: + logger.error(f"Error getting knowledge graph: {e}") + raise + + @staticmethod + def get_entity_by_id(entity_id: str) -> Optional[Dict[str, Any]]: + """Get an entity by ID.""" + try: + response = requests.get( + f"{SUPABASE_URL}/rest/v1/entities", + headers=SupabaseService._get_headers(), + params={"id": f"eq.{entity_id}"} + ) + + response.raise_for_status() + entities = response.json() + + if entities and len(entities) > 0: + return entities[0] + return None + except Exception as e: + logger.error(f"Error getting entity by ID: {e}") + raise + + @staticmethod + def search_entities(query: str, entity_type: Optional[str] = None, limit: int = 10, user_id: str = None) -> List[Dict[str, Any]]: + """Search for entities based on a query.""" + try: + params = {"limit": limit} + + if user_id: + params["user_id"] = f"eq.{user_id}" + + if entity_type: + params["type"] = f"eq.{entity_type}" + + # Add search filter + params["or"] = f"name.ilike.*{query}*,properties.ilike.*{query}*" + + response = requests.get( + f"{SUPABASE_URL}/rest/v1/entities", + headers=SupabaseService._get_headers(), + params=params + ) + + response.raise_for_status() + return response.json() + except Exception as e: + logger.error(f"Error searching entities: {e}") + raise + +# Default user ID for testing (in a real app, this would come from authentication) +DEFAULT_USER_ID = "00000000-0000-0000-0000-000000000000" + +def initialize_default_user(): + """Initialize the default user if it doesn't exist.""" + try: + # Check if default user exists + user = SupabaseService.get_user_by_email("default@example.com") + + if not user: + # Create default user + user = SupabaseService.create_user("default@example.com", "Default User") + logger.info(f"Created default user: {user['id']}") + + return user + except Exception as e: + logger.error(f"Error initializing default user: {e}") + raise diff --git a/agent/mcp_agent/database_status.py b/agent/mcp_agent/database_status.py new file mode 100644 index 0000000..b6e9522 --- /dev/null +++ b/agent/mcp_agent/database_status.py @@ -0,0 +1,156 @@ +""" +Database status module for the MCP Agent. +This provides endpoints for checking the database status. +""" + +import os +import sys +import logging +from fastapi import APIRouter, HTTPException +from fastapi.responses import JSONResponse + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Create a router +router = APIRouter() + +@router.get("/database/status") +async def database_status(): + """Database status endpoint.""" + try: + # Check database configuration + database_backend = os.environ.get("DATABASE_BACKEND", "supabase") + + if database_backend == "supabase": + # Check Supabase configuration + supabase_url = os.environ.get("SUPABASE_URL") + supabase_key = os.environ.get("SUPABASE_SERVICE_KEY") + + if not supabase_url or not supabase_key: + return { + "status": "warning", + "message": "Supabase configuration incomplete", + "type": "Supabase", + "tables": 0, + "connected": False + } + + # Try to import supabase-py + try: + from supabase import create_client + + # Try to connect to Supabase + supabase = create_client(supabase_url, supabase_key) + + # Try to get table information + try: + # This is a simple query to check if we can connect + response = supabase.table("entities").select("count", count="exact").execute() + count = response.count if hasattr(response, "count") else 0 + + return { + "status": "ok", + "message": "Connected to Supabase", + "type": "Supabase", + "tables": 4, # Hardcoded for now + "connected": True, + "entities": count + } + except Exception as e: + logger.warning(f"Could not query Supabase: {e}") + return { + "status": "warning", + "message": f"Connected to Supabase but could not query tables: {str(e)}", + "type": "Supabase", + "tables": 4, # Hardcoded for now + "connected": True + } + except ImportError: + logger.warning("supabase-py not installed") + return { + "status": "warning", + "message": "supabase-py not installed", + "type": "Supabase", + "tables": 4, # Hardcoded for now + "connected": False + } + elif database_backend == "postgres": + # Check PostgreSQL configuration + database_url = os.environ.get("DATABASE_URL") + + if not database_url: + return { + "status": "warning", + "message": "PostgreSQL configuration incomplete", + "type": "PostgreSQL", + "tables": 0, + "connected": False + } + + # Try to import psycopg2 + try: + import psycopg2 + + # Try to connect to PostgreSQL + try: + conn = psycopg2.connect(database_url) + cursor = conn.cursor() + + # Get table count + cursor.execute("SELECT COUNT(*) FROM information_schema.tables WHERE table_schema = 'public'") + table_count = cursor.fetchone()[0] + + # Get entity count + try: + cursor.execute("SELECT COUNT(*) FROM entities") + entity_count = cursor.fetchone()[0] + except: + entity_count = 0 + + conn.close() + + return { + "status": "ok", + "message": "Connected to PostgreSQL", + "type": "PostgreSQL", + "tables": table_count, + "connected": True, + "entities": entity_count + } + except Exception as e: + logger.warning(f"Could not connect to PostgreSQL: {e}") + return { + "status": "error", + "message": f"Could not connect to PostgreSQL: {str(e)}", + "type": "PostgreSQL", + "tables": 0, + "connected": False + } + except ImportError: + logger.warning("psycopg2 not installed") + return { + "status": "warning", + "message": "psycopg2 not installed", + "type": "PostgreSQL", + "tables": 0, + "connected": False + } + else: + return { + "status": "warning", + "message": f"Unknown database backend: {database_backend}", + "type": "Unknown", + "tables": 0, + "connected": False + } + except Exception as e: + logger.error(f"Error checking database status: {e}") + return { + "status": "error", + "message": f"Error checking database status: {str(e)}", + "type": "Unknown", + "tables": 0, + "connected": False + } diff --git a/agent/mcp_agent/health_server.py b/agent/mcp_agent/health_server.py new file mode 100644 index 0000000..4165449 --- /dev/null +++ b/agent/mcp_agent/health_server.py @@ -0,0 +1,136 @@ +""" +Enhanced health server for the MCP Agent. +This provides a minimal server with health and diagnostic endpoints. +This server is used as a fallback when the custom server fails to start. +""" + +import os +import sys +import platform +import logging +import datetime +import uvicorn +from fastapi import FastAPI, Request +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import JSONResponse + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Create a new FastAPI app +app = FastAPI( + title="MCP Agent Health Server", + description="A fallback server with health and diagnostic endpoints", + version="0.1.0" +) + +# Add CORS middleware +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], # In production, you should restrict this + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +@app.get("/health") +async def health_check(): + """Health check endpoint.""" + import platform + import sys + + return { + "status": "ok", + "message": "MCP Agent backend is running (fallback health server)", + "timestamp": datetime.datetime.now().isoformat(), + "version": "0.1.0", + "mode": "fallback", + "services": { + "langgraph": { + "available": False, + "status": "unavailable" + } + }, + "system": { + "python_version": sys.version, + "platform": platform.platform(), + "processor": platform.processor() + } + } + +@app.get("/") +async def root(): + """Root endpoint with server information.""" + return { + "name": "MCP Agent Health Server", + "version": "0.1.0", + "status": "running", + "mode": "fallback", + "endpoints": [ + {"path": "/health", "method": "GET", "description": "Health check endpoint"}, + {"path": "/", "method": "GET", "description": "Root endpoint with server information"}, + {"path": "/system", "method": "GET", "description": "System information endpoint"}, + {"path": "/routes", "method": "GET", "description": "List all available routes"} + ] + } + +@app.get("/system") +async def system_info(): + """System information endpoint.""" + return { + "python_version": sys.version, + "platform": platform.platform(), + "system": platform.system(), + "processor": platform.processor(), + "cwd": os.getcwd(), + "env_vars": {k: v for k, v in os.environ.items() if k.startswith(('LANGGRAPH_', 'OPENAI_', 'ANTHROPIC_'))} + } + +@app.get("/routes") +async def list_routes(): + """List all available routes.""" + routes = [] + for route in app.routes: + route_info = { + "path": route.path, + "name": route.name, + "methods": list(route.methods) if hasattr(route, 'methods') else [] + } + routes.append(route_info) + return {"routes": routes} + +# Add global exception handler +@app.exception_handler(Exception) +async def global_exception_handler(request: Request, exc: Exception): + logger.error(f"Global exception handler caught: {exc}") + return JSONResponse( + status_code=500, + content={ + "error": str(exc), + "type": str(type(exc).__name__), + "path": request.url.path + } + ) + +def run_server(port=8124): + """Run the health server.""" + logger.info(f"Starting fallback health server on http://localhost:{port}") + logger.info("This is a minimal server with only basic endpoints") + logger.info("The custom server with LangGraph integration could not be started") + try: + # Use more stable configuration + uvicorn.run( + app, + host="localhost", + port=port, + log_level="info", + access_log=True, + timeout_keep_alive=65 # Increase keep-alive timeout + ) + except Exception as e: + logger.error(f"Error running fallback health server: {e}") + sys.exit(1) + +if __name__ == "__main__": + run_server() diff --git a/agent/mcp_agent/integrations/__init__.py b/agent/mcp_agent/integrations/__init__.py new file mode 100644 index 0000000..8c9b930 --- /dev/null +++ b/agent/mcp_agent/integrations/__init__.py @@ -0,0 +1 @@ +# Init file to make 'integrations' a Python package \ No newline at end of file diff --git a/agent/mcp_agent/integrations/a2a_integration.py b/agent/mcp_agent/integrations/a2a_integration.py new file mode 100644 index 0000000..4cc73bd --- /dev/null +++ b/agent/mcp_agent/integrations/a2a_integration.py @@ -0,0 +1,44 @@ +from typing import Dict, Optional, Callable, Awaitable +from .a2a_protocols import A2AMessage +import asyncio + +class A2ACommunicator: + """ + In-memory, async, extensible communicator for agent-to-agent messaging. + Can be extended to use HTTP, message brokers, etc. + """ + def __init__(self): + # In-memory message queues per agent + self.queues: Dict[str, asyncio.Queue] = {} + # Optional: callbacks for message receipt + self.callbacks: Dict[str, Callable[[A2AMessage], Awaitable[None]]] = {} + + async def send_message(self, message: A2AMessage) -> None: + """ + Send a message to another agent (by recipient_agent_id). + """ + queue = self.queues.setdefault(message.recipient_agent_id, asyncio.Queue()) + await queue.put(message) + # If a callback is registered, call it + if message.recipient_agent_id in self.callbacks: + await self.callbacks[message.recipient_agent_id](message) + + async def receive_message(self, agent_id: str, timeout: Optional[float] = None) -> Optional[A2AMessage]: + """ + Receive the next message for this agent (by agent_id). + If timeout is set, waits up to timeout seconds. + """ + queue = self.queues.setdefault(agent_id, asyncio.Queue()) + try: + message = await asyncio.wait_for(queue.get(), timeout=timeout) + return message + except asyncio.TimeoutError: + return None + + def register_callback(self, agent_id: str, callback: Callable[[A2AMessage], Awaitable[None]]): + """ + Register a coroutine callback to be called when a message is sent to this agent. + """ + self.callbacks[agent_id] = callback + + # Extension point: add HTTP, broker, or distributed transport here \ No newline at end of file diff --git a/agent/mcp_agent/integrations/a2a_protocols.py b/agent/mcp_agent/integrations/a2a_protocols.py new file mode 100644 index 0000000..485423c --- /dev/null +++ b/agent/mcp_agent/integrations/a2a_protocols.py @@ -0,0 +1,41 @@ +from typing import Optional, Dict, Any, List, Union +from pydantic import BaseModel, Field +from datetime import datetime + +class TaskRequestPayload(BaseModel): + """ + Example payload for requesting a task from another agent. + Extend as needed for your domain. + """ + task_type: str + parameters: Dict[str, Any] = Field(default_factory=dict) + context: Optional[Dict[str, Any]] = None + +class TaskResponsePayload(BaseModel): + """ + Example payload for responding to a task request. + """ + success: bool + result: Optional[Any] = None + error: Optional[str] = None + +class A2AMessage(BaseModel): + """ + Standardized message for agent-to-agent communication. + """ + sender_agent_id: str + recipient_agent_id: str + message_type: str # e.g., 'task_request', 'task_response', 'status', etc. + payload: Union[TaskRequestPayload, TaskResponsePayload, Dict[str, Any]] + timestamp: datetime = Field(default_factory=datetime.utcnow) + metadata: Optional[Dict[str, Any]] = None + +class CapabilityDiscoveryPayload(BaseModel): + """ + Payload for capability discovery between agents. + """ + capabilities: List[str] + agent_version: Optional[str] = None + extra: Optional[Dict[str, Any]] = None + +# You can extend with more message types as needed (negotiation, state sync, etc.) \ No newline at end of file diff --git a/agent/mcp_agent/integrations/base_memory.py b/agent/mcp_agent/integrations/base_memory.py new file mode 100644 index 0000000..af987be --- /dev/null +++ b/agent/mcp_agent/integrations/base_memory.py @@ -0,0 +1,23 @@ +from typing import Protocol, Any, List, Dict, Optional + +class BaseMemoryManager(Protocol): + """ + Protocol for semantic memory backends. All memory managers must implement these methods. + """ + async def add_memory(self, user_id: str, content: Optional[str] = None, messages: Optional[List[Dict[str, str]]] = None, metadata: Optional[dict] = None) -> Any: + ... + + async def search_memory(self, user_id: str, query: str, limit: int = 5, filters: Optional[Dict] = None) -> List[Dict[str, Any]]: + ... + + async def get_all_memories(self, user_id: str) -> List[Dict[str, Any]]: + ... + + async def get_memory(self, memory_id: str) -> Optional[Dict[str, Any]]: + ... + + async def update_memory(self, memory_id: str, data: Dict[str, Any]) -> Any: + ... + + async def delete_memory(self, memory_id: str) -> Any: + ... \ No newline at end of file diff --git a/agent/mcp_agent/integrations/graphiti_integration.py b/agent/mcp_agent/integrations/graphiti_integration.py new file mode 100644 index 0000000..1dc8d23 --- /dev/null +++ b/agent/mcp_agent/integrations/graphiti_integration.py @@ -0,0 +1,162 @@ +""" +Graphiti Knowledge Graph integration for the MCP Agent. +Provides a knowledge source that can be used by agents to access structured knowledge. +""" + +from typing import Dict, List, Any, Optional, Union +import os +import logging +from pydantic import BaseModel + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +class KnowledgeQuery(BaseModel): + """Model for knowledge graph queries""" + query: str + filters: Optional[Dict[str, Any]] = None + limit: int = 10 + +class KnowledgeEntity(BaseModel): + """Model for knowledge graph entities""" + id: str + type: str + properties: Dict[str, Any] + +class KnowledgeRelation(BaseModel): + """Model for knowledge graph relations""" + source_id: str + target_id: str + type: str + properties: Optional[Dict[str, Any]] = None + +class KnowledgeSubgraph(BaseModel): + """Model for knowledge subgraphs returned from queries""" + entities: List[KnowledgeEntity] + relations: List[KnowledgeRelation] + +class GraphitiKnowledgeSource: + """ + Integration with Graphiti Knowledge Graph. + Provides methods to query and update the knowledge graph. + """ + + def __init__(self, api_key: Optional[str] = None, endpoint: Optional[str] = None): + """ + Initialize the Graphiti knowledge source. + + Args: + api_key: API key for Graphiti. Defaults to GRAPHITI_API_KEY env var. + endpoint: Graphiti API endpoint. Defaults to GRAPHITI_ENDPOINT env var. + """ + self.api_key = api_key or os.getenv("GRAPHITI_API_KEY") + self.endpoint = endpoint or os.getenv("GRAPHITI_ENDPOINT", "https://api.graphiti.ai/v1") + + if not self.api_key: + logger.warning("No Graphiti API key provided. Some functionality may be limited.") + + # Initialize connection (placeholder for actual implementation) + self._initialize_connection() + + def _initialize_connection(self): + """Initialize connection to Graphiti (placeholder)""" + logger.info(f"Initializing connection to Graphiti at {self.endpoint}") + # In a real implementation, this would establish a connection or client + + async def query(self, query: Union[str, KnowledgeQuery]) -> KnowledgeSubgraph: + """ + Query the knowledge graph. + + Args: + query: Either a query string or a KnowledgeQuery object + + Returns: + A KnowledgeSubgraph containing matching entities and relations + """ + if isinstance(query, str): + query = KnowledgeQuery(query=query) + + logger.info(f"Querying knowledge graph: {query.query}") + + # Placeholder implementation - would actually call Graphiti API + # This simulates a simple response for testing + return KnowledgeSubgraph( + entities=[ + KnowledgeEntity( + id="entity1", + type="concept", + properties={"name": "Example Entity", "relevance": 0.95} + ) + ], + relations=[] + ) + + async def add_entity(self, entity: KnowledgeEntity) -> str: + """ + Add an entity to the knowledge graph. + + Args: + entity: The entity to add + + Returns: + The ID of the added entity + """ + logger.info(f"Adding entity to knowledge graph: {entity.id} ({entity.type})") + # Placeholder implementation + return entity.id + + async def add_relation(self, relation: KnowledgeRelation) -> bool: + """ + Add a relation to the knowledge graph. + + Args: + relation: The relation to add + + Returns: + True if successful, False otherwise + """ + logger.info(f"Adding relation to knowledge graph: {relation.source_id} -> {relation.target_id}") + # Placeholder implementation + return True + + async def get_entity(self, entity_id: str) -> Optional[KnowledgeEntity]: + """ + Get an entity by ID. + + Args: + entity_id: The ID of the entity to retrieve + + Returns: + The entity if found, None otherwise + """ + logger.info(f"Getting entity from knowledge graph: {entity_id}") + # Placeholder implementation + return KnowledgeEntity( + id=entity_id, + type="concept", + properties={"name": "Retrieved Entity"} + ) + + async def search_entities(self, query: str, entity_type: Optional[str] = None, limit: int = 10) -> List[KnowledgeEntity]: + """ + Search for entities matching a query. + + Args: + query: The search query + entity_type: Optional filter by entity type + limit: Maximum number of results to return + + Returns: + A list of matching entities + """ + logger.info(f"Searching entities: {query} (type={entity_type}, limit={limit})") + # Placeholder implementation + return [ + KnowledgeEntity( + id=f"result{i}", + type=entity_type or "concept", + properties={"name": f"Search Result {i}", "relevance": 0.9 - (i * 0.1)} + ) + for i in range(min(3, limit)) + ] \ No newline at end of file diff --git a/agent/mcp_agent/integrations/litellm_integration.py b/agent/mcp_agent/integrations/litellm_integration.py new file mode 100644 index 0000000..bb7ee09 --- /dev/null +++ b/agent/mcp_agent/integrations/litellm_integration.py @@ -0,0 +1,167 @@ +# Placeholder for LiteLLM integration + +from typing import List, Dict, Any, Optional +import logging + +# Configure logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Try to import litellm, fall back to mock implementation if not available +try: + # Patch the json module to handle encoding errors + import json + import codecs + + # Save the original json.load function + original_json_load = json.load + + # Define a patched version that handles encoding errors + def patched_json_load(fp, *args, **kwargs): + try: + return original_json_load(fp, *args, **kwargs) + except UnicodeDecodeError: + # If there's an encoding error, try again with utf-8 encoding + fp.seek(0) + content = fp.read() + # Try to decode with different encodings + for encoding in ['utf-8', 'utf-8-sig', 'latin-1']: + try: + if isinstance(content, bytes): + decoded = content.decode(encoding, errors='ignore') + else: + decoded = content + return json.loads(decoded) + except Exception: + continue + # If all encodings fail, use a fallback + return {} + + # Replace the json.load function with our patched version + json.load = patched_json_load + + # Now try to import litellm + import litellm + litellm_available = True + logger.info("LiteLLM module imported successfully") +except Exception as e: + logger.warning(f"LiteLLM module not available: {e}") + litellm_available = False + + # Create a mock litellm module + class MockLiteLLM: + async def acompletion(self, model, messages, temperature=0.7, max_tokens=None, **kwargs): + logger.info(f"Mock LiteLLM called with model: {model}") + + # Create a mock response + class MockResponse: + class MockChoice: + class MockMessage: + def __init__(self, content): + self.content = content + + def __init__(self, content): + self.message = self.MockMessage(content) + + def __init__(self, content): + self.choices = [self.MockChoice(content)] + + # Generate a mock response based on the messages + if messages and len(messages) > 0: + last_message = messages[-1] + content = f"This is a mock response to: {last_message.get('content', 'No content')}" + else: + content = "This is a mock response from LiteLLM" + + return MockResponse(content) + + # Replace the litellm module with our mock + litellm = MockLiteLLM() + +# Automatically load environment variables if python-dotenv is installed +try: + from dotenv import load_dotenv + load_dotenv() +except ImportError: + logger.warning("python-dotenv not found, skipping loading .env file") + +# Configure LiteLLM settings if needed (e.g., logging, exception handling) +# litellm.set_verbose = True + +class LiteLLMWrapper: + """Provides a unified asynchronous interface for interacting with various LLMs via LiteLLM.""" + + def __init__(self): + """Initializes the LiteLLM wrapper. + API keys are expected to be set as environment variables (e.g., OPENAI_API_KEY). + """ + # LiteLLM typically reads keys from environment variables automatically. + # No explicit initialization is usually needed here unless customizing behavior. + self.is_mock = not litellm_available + if self.is_mock: + logger.warning("Using mock LiteLLM implementation") + else: + logger.info("Using real LiteLLM implementation") + + async def get_llm_response( + self, + messages: List[Dict[str, str]], + model: str = "gpt-4o", # Default model, can be overridden + temperature: float = 0.7, + max_tokens: Optional[int] = None, + **kwargs: Any + ) -> str: + """Gets a response from the specified LLM using LiteLLM. + + Args: + messages: A list of message dictionaries (e.g., [{'role': 'user', 'content': '...'}]). + model: The name of the model to use (e.g., 'gpt-4', 'claude-3-opus-20240229'). + LiteLLM maps many common names automatically. + temperature: The sampling temperature. + max_tokens: The maximum number of tokens to generate. + **kwargs: Additional arguments to pass to the LiteLLM completion call. + + Returns: + The content of the response message from the LLM. + + Raises: + Exception: If the LiteLLM call fails. + """ + try: + logger.info(f"Calling {'mock ' if self.is_mock else ''}LiteLLM model: {model} with {len(messages)} messages.") + response = await litellm.acompletion( + model=model, + messages=messages, + temperature=temperature, + max_tokens=max_tokens, + **kwargs + ) + # Accessing response content might vary slightly based on LiteLLM version/model + # Usually response.choices[0].message.content + content = response.choices[0].message.content + logger.info(f"LiteLLM response received (first 100 chars): {content[:100]}...") + return content + except Exception as e: + logger.error(f"Error during LiteLLM call: {e}") + # Provide a fallback response in case of error + if self.is_mock: + logger.warning("Using fallback mock response") + return "I'm sorry, I couldn't process that request. (Mock fallback response)" + else: + # Consider more robust error handling/logging + raise + +# Example usage (optional, for testing) +# async def main(): +# wrapper = LiteLLMWrapper() +# messages = [{"role": "user", "content": "Tell me a joke about AI."}] +# try: +# response_content = await wrapper.get_llm_response(messages, model="gpt-3.5-turbo") +# print("\nLLM Response:") +# print(response_content) +# except Exception as e: +# print(f"Failed to get response: {e}") + +# if __name__ == "__main__": +# import asyncio +# asyncio.run(main()) \ No newline at end of file diff --git a/agent/mcp_agent/integrations/logfire_integration.py b/agent/mcp_agent/integrations/logfire_integration.py new file mode 100644 index 0000000..edeecaf --- /dev/null +++ b/agent/mcp_agent/integrations/logfire_integration.py @@ -0,0 +1,245 @@ +""" +Logfire integration for the MCP Agent. +Provides logging and tracing capabilities for the agent. +""" + +import os +import logging +from typing import Optional, Dict, Any, List, Union +from contextlib import contextmanager + +# Try to import logfire, but provide a fallback if it's not installed +try: + import logfire + LOGFIRE_AVAILABLE = True +except ImportError: + LOGFIRE_AVAILABLE = False + logger = logging.getLogger(__name__) + logger.warning("Logfire module not found. Using fallback logging.") + +# Configure basic logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +class LogfireLogger: + """ + Integration with Logfire for logging and tracing. + Provides methods to log events, errors, and create spans for tracing. + """ + + def __init__(self, project_name: Optional[str] = None, enabled: bool = True): + """ + Initialize the Logfire logger. + + Args: + project_name: Name of the Logfire project. Defaults to LOGFIRE_PROJECT env var or 'kb-multi-agent'. + enabled: Whether Logfire logging is enabled. Defaults to True. + """ + self.project_name = project_name or os.getenv("LOGFIRE_PROJECT", "kb-multi-agent") + # Only enable if logfire is available and configured + self.enabled = enabled and LOGFIRE_AVAILABLE and self._check_logfire_configured() + + if self.enabled: + try: + # Initialize Logfire + logfire.configure( + project=self.project_name, + service="mcp-agent", + ) + logger.info(f"Logfire initialized for project: {self.project_name}") + except Exception as e: + logger.warning(f"Failed to initialize Logfire: {e}") + self.enabled = False + + def _check_logfire_configured(self) -> bool: + """Check if Logfire is configured in the environment.""" + # If logfire is not available, return False + if not LOGFIRE_AVAILABLE: + return False + + # Check for Logfire configuration file or environment variables + if os.path.exists(os.path.expanduser("~/.logfire/default.toml")): + return True + if os.getenv("LOGFIRE_TOKEN"): + return True + return False + + def log_event(self, event_name: str, data: Optional[Dict[str, Any]] = None) -> None: + """ + Log an event to Logfire. + + Args: + event_name: Name of the event + data: Additional data to log with the event + """ + if not self.enabled: + # Fallback to standard logging + logger.info(f"Event: {event_name} - Data: {data}") + return + + try: + logfire.log(event_name, **(data or {})) + except Exception as e: + logger.warning(f"Failed to log event to Logfire: {e}") + + def log_error(self, error: Exception, context: Optional[Dict[str, Any]] = None) -> None: + """ + Log an error to Logfire. + + Args: + error: The exception to log + context: Additional context data + """ + if not self.enabled: + # Fallback to standard logging + logger.error(f"Error: {error} - Context: {context}") + return + + try: + logfire.error( + error, + error_message=str(error), + **(context or {}) + ) + except Exception as e: + logger.warning(f"Failed to log error to Logfire: {e}") + + @contextmanager + def span(self, name: str, attributes: Optional[Dict[str, Any]] = None): + """ + Create a span for tracing. + + Args: + name: Name of the span + attributes: Additional attributes for the span + """ + if not self.enabled: + # Log span start/end with standard logging + logger.info(f"Span start: {name} - Attributes: {attributes}") + yield None + logger.info(f"Span end: {name}") + return + + try: + with logfire.span(name, **(attributes or {})) as span: + yield span + except Exception as e: + logger.warning(f"Failed to create Logfire span: {e}") + yield None + + def log_agent_request(self, + agent_id: str, + user_input: str, + metadata: Optional[Dict[str, Any]] = None) -> None: + """ + Log an agent request. + + Args: + agent_id: ID of the agent + user_input: User input text + metadata: Additional metadata + """ + data = { + "agent_id": agent_id, + "user_input": user_input, + **(metadata or {}) + } + self.log_event("agent_request", data) + + def log_agent_response(self, + agent_id: str, + response: str, + metadata: Optional[Dict[str, Any]] = None) -> None: + """ + Log an agent response. + + Args: + agent_id: ID of the agent + response: Agent response text + metadata: Additional metadata + """ + data = { + "agent_id": agent_id, + "response": response, + **(metadata or {}) + } + self.log_event("agent_response", data) + + def log_tool_call(self, + tool_name: str, + inputs: Dict[str, Any], + metadata: Optional[Dict[str, Any]] = None) -> None: + """ + Log a tool call. + + Args: + tool_name: Name of the tool + inputs: Tool inputs + metadata: Additional metadata + """ + data = { + "tool_name": tool_name, + "inputs": inputs, + **(metadata or {}) + } + self.log_event("tool_call", data) + + def log_tool_result(self, + tool_name: str, + result: Any, + metadata: Optional[Dict[str, Any]] = None) -> None: + """ + Log a tool result. + + Args: + tool_name: Name of the tool + result: Tool result + metadata: Additional metadata + """ + data = { + "tool_name": tool_name, + "result": str(result), + **(metadata or {}) + } + self.log_event("tool_result", data) + + def log_llm_call(self, + model: str, + prompt: Union[str, List[Dict[str, str]]], + metadata: Optional[Dict[str, Any]] = None) -> None: + """ + Log an LLM call. + + Args: + model: Name of the model + prompt: Prompt text or messages + metadata: Additional metadata + """ + # Convert prompt to string if it's a list of messages + prompt_str = prompt if isinstance(prompt, str) else str(prompt) + + data = { + "model": model, + "prompt": prompt_str, + **(metadata or {}) + } + self.log_event("llm_call", data) + + def log_llm_response(self, + model: str, + response: str, + metadata: Optional[Dict[str, Any]] = None) -> None: + """ + Log an LLM response. + + Args: + model: Name of the model + response: LLM response text + metadata: Additional metadata + """ + data = { + "model": model, + "response": response, + **(metadata or {}) + } + self.log_event("llm_response", data) diff --git a/agent/mcp_agent/integrations/mem0_integration.py b/agent/mcp_agent/integrations/mem0_integration.py new file mode 100644 index 0000000..be7c69d --- /dev/null +++ b/agent/mcp_agent/integrations/mem0_integration.py @@ -0,0 +1,207 @@ +# Placeholder for Mem0 integration + +import os +from typing import List, Dict, Any, Optional + +# Use try-except for mem0 import in case it causes issues +try: + from mem0 import MemoryClient +except ImportError as e: + print(f"Failed to import mem0. Memory features will be unavailable: {e}") + MemoryClient = None # Define as None if import fails + +# Automatically load environment variables if python-dotenv is installed +try: + from dotenv import load_dotenv + load_dotenv() +except ImportError: + print("python-dotenv not found, skipping loading .env file") + +class Mem0MemoryManager: + """Manages interactions with the Mem0 service for semantic memory. + + Handles adding, searching, retrieving, updating, and deleting memories + associated with specific user IDs. + """ + + def __init__(self, api_key: Optional[str] = None): + """Initializes the Mem0 Memory Manager. + + Args: + api_key: The Mem0 API key. If None, attempts to read from + the MEM0_API_KEY environment variable. + + Raises: + ValueError: If Mem0 client could not be imported or if the API key is missing. + """ + if MemoryClient is None: + raise ValueError("Mem0ai library not installed or failed to import.") + + self.api_key = api_key or os.getenv("MEM0_API_KEY") + if not self.api_key: + raise ValueError("Mem0 API key not provided or found in environment variables.") + + # Initialize the client. Note: Mem0 client itself might not be async, + # but we wrap its calls in async methods for consistency in our agent architecture. + try: + self.client = MemoryClient(api_key=self.api_key) + print("Mem0 Client initialized successfully.") + except Exception as e: + print(f"Failed to initialize Mem0 Client: {e}") + raise ValueError(f"Failed to initialize Mem0 Client: {e}") from e + + async def add_memory(self, user_id: str, content: Optional[str] = None, messages: Optional[List[Dict[str, str]]] = None, metadata: Optional[dict] = None) -> Any: + """Adds a memory or a list of messages to Mem0 for a specific user. + + Provide either 'content' for a single memory string or 'messages' for a conversation list. + + Args: + user_id: The identifier for the user whose memory is being added. + content: A single string content for the memory. + messages: A list of message dictionaries (e.g., [{'role': 'user', 'content': '...'}]). + metadata: Optional metadata to associate with the memory. + + Returns: + The result from the Mem0 client's add operation. + + Raises: + ValueError: If neither content nor messages are provided. + Exception: If the Mem0 API call fails. + """ + if not content and not messages: + raise ValueError("Either 'content' or 'messages' must be provided.") + + add_kwargs = {"user_id": user_id} + if metadata: + add_kwargs["metadata"] = metadata + + try: + print(f"Adding memory for user_id: {user_id}") + if messages: + result = self.client.add(messages=messages, **add_kwargs) + else: # content must be provided due to the check above + result = self.client.add(content=content, **add_kwargs) + print(f"Mem0 add result: {result}") + return result + except Exception as e: + print(f"Error adding memory to Mem0 for user {user_id}: {e}") + raise + + async def search_memory(self, user_id: str, query: str, limit: int = 5, filters: Optional[Dict] = None) -> List[Dict[str, Any]]: + """Searches for relevant memories for a specific user based on a query. + + Args: + user_id: The identifier for the user whose memory is being searched. + query: The search query string. + limit: The maximum number of results to return. + filters: Optional filters to apply to the search. + + Returns: + A list of memory dictionaries matching the query. + + Raises: + Exception: If the Mem0 API call fails. + """ + try: + print(f"Searching memory for user_id: {user_id} with query: '{query[:50]}...'") + search_kwargs = {"user_id": user_id, "limit": limit} + if filters: + search_kwargs["filters"] = filters + + results = self.client.search(query=query, **search_kwargs) + print(f"Mem0 search returned {len(results)} results.") + return results + except Exception as e: + print(f"Error searching Mem0 memory for user {user_id}: {e}") + raise + + async def get_all_memories(self, user_id: str) -> List[Dict[str, Any]]: + """Retrieves all memories associated with a specific user. + + Args: + user_id: The identifier for the user. + + Returns: + A list of all memory dictionaries for the user. + + Raises: + Exception: If the Mem0 API call fails. + """ + try: + print(f"Getting all memories for user_id: {user_id}") + memories = self.client.get_all(user_id=user_id) + print(f"Mem0 get_all returned {len(memories)} memories.") + return memories + except Exception as e: + print(f"Error getting all memories from Mem0 for user {user_id}: {e}") + raise + + async def get_memory(self, memory_id: str) -> Optional[Dict[str, Any]]: + """Retrieves a specific memory by its ID. + + Args: + memory_id: The unique identifier of the memory. + + Returns: + The memory dictionary if found, otherwise potentially None (depends on client behavior). + + Raises: + Exception: If the Mem0 API call fails. + """ + try: + print(f"Getting memory with id: {memory_id}") + memory = self.client.get(memory_id=memory_id) + print(f"Mem0 get returned: {memory is not None}") + return memory + except Exception as e: + print(f"Error getting memory {memory_id} from Mem0: {e}") + raise + + async def update_memory(self, memory_id: str, data: Dict[str, Any]) -> Any: + """Updates an existing memory. + + Args: + memory_id: The ID of the memory to update. + data: A dictionary containing the fields to update. + + Returns: + The result from the Mem0 client's update operation. + + Raises: + Exception: If the Mem0 API call fails. + """ + try: + print(f"Updating memory with id: {memory_id}") + result = self.client.update(memory_id=memory_id, data=data) + print(f"Mem0 update result: {result}") + return result + except Exception as e: + print(f"Error updating memory {memory_id} in Mem0: {e}") + raise + + async def delete_memory(self, memory_id: str) -> Any: + """Deletes a specific memory by its ID. + + Args: + memory_id: The ID of the memory to delete. + + Returns: + The result from the Mem0 client's delete operation. + + Raises: + Exception: If the Mem0 API call fails. + """ + try: + print(f"Deleting memory with id: {memory_id}") + result = self.client.delete(memory_id=memory_id) + print(f"Mem0 delete result: {result}") + return result + except Exception as e: + print(f"Error deleting memory {memory_id} from Mem0: {e}") + raise + +# Note: The Mem0 Python client itself doesn't appear to be inherently async based on docs. +# These async wrappers execute the synchronous client calls within the async function, +# allowing them to be awaited in an async environment (like LangGraph/FastAPI). +# For true async IO with Mem0, one might need an async HTTP client (like httpx) +# to call the Mem0 REST API directly if the Python SDK doesn't support it natively. \ No newline at end of file diff --git a/agent/mcp_agent/integrations/memorysaver_manager.py b/agent/mcp_agent/integrations/memorysaver_manager.py new file mode 100644 index 0000000..38b1bf8 --- /dev/null +++ b/agent/mcp_agent/integrations/memorysaver_manager.py @@ -0,0 +1,91 @@ +from typing import List, Dict, Any, Optional +from .base_memory import BaseMemoryManager + +class MemorySaverManager(BaseMemoryManager): + """ + Wraps the legacy MemorySaver to conform to the BaseMemoryManager protocol. + Provides async, type-safe methods for agent memory operations. + """ + def __init__(self, storage_path: Optional[str] = None): + try: + from langgraph.checkpoint.memory import MemorySaver + except ImportError as e: + raise ImportError(f"MemorySaver could not be imported: {e}") + # Use a file path or in-memory by default + self.saver = MemorySaver(storage_path) if storage_path else MemorySaver() + + async def add_memory(self, user_id: str, content: Optional[str] = None, messages: Optional[List[Dict[str, str]]] = None, metadata: Optional[dict] = None) -> Any: + """ + Adds a memory for a user. MemorySaver expects a dict, so we store as a dict with user_id and content/messages. + """ + memory = {"user_id": user_id} + if content: + memory["content"] = content + if messages: + memory["messages"] = messages + if metadata: + memory["metadata"] = metadata + # MemorySaver is sync, so just call it directly + return self.saver.save(memory) + + async def search_memory(self, user_id: str, query: str, limit: int = 5, filters: Optional[Dict] = None) -> List[Dict[str, Any]]: + """ + Searches for memories for a user. MemorySaver does not support semantic search, so we filter by user_id and query in content/messages. + """ + all_memories = self.saver.load() + results = [] + for mem in all_memories: + if mem.get("user_id") != user_id: + continue + if query: + if (query in str(mem.get("content", ""))) or any(query in str(m.get("content", "")) for m in mem.get("messages", [])): + results.append(mem) + else: + results.append(mem) + if len(results) >= limit: + break + return results + + async def get_all_memories(self, user_id: str) -> List[Dict[str, Any]]: + """ + Returns all memories for a user. + """ + all_memories = self.saver.load() + return [mem for mem in all_memories if mem.get("user_id") == user_id] + + async def get_memory(self, memory_id: str) -> Optional[Dict[str, Any]]: + """ + Returns a memory by its id. MemorySaver does not natively support ids, so we treat the index as id. + """ + all_memories = self.saver.load() + try: + idx = int(memory_id) + return all_memories[idx] + except (ValueError, IndexError): + return None + + async def update_memory(self, memory_id: str, data: Dict[str, Any]) -> Any: + """ + Updates a memory by its id (index). Overwrites the memory at the given index. + """ + all_memories = self.saver.load() + try: + idx = int(memory_id) + all_memories[idx].update(data) + self.saver.save_all(all_memories) + return all_memories[idx] + except (ValueError, IndexError): + return None + + async def delete_memory(self, memory_id: str) -> Any: + """ + Deletes a memory by its id (index). + """ + all_memories = self.saver.load() + try: + idx = int(memory_id) + deleted = all_memories.pop(idx) + self.saver.save_all(all_memories) + return deleted + except (ValueError, IndexError): + return None \ No newline at end of file diff --git a/agent/mcp_agent/langgraph.json b/agent/mcp_agent/langgraph.json new file mode 100644 index 0000000..7407394 --- /dev/null +++ b/agent/mcp_agent/langgraph.json @@ -0,0 +1,9 @@ +{ + "python_version": "3.12", + "dockerfile_lines": [], + "dependencies": ["."], + "graphs": { + "mcp-agent": "./agent.py:graph" + }, + "env": ".env" +} diff --git a/agent/mcp_agent/logging.py b/agent/mcp_agent/logging.py new file mode 100644 index 0000000..20cab04 --- /dev/null +++ b/agent/mcp_agent/logging.py @@ -0,0 +1,118 @@ +""" +Structured logger for the MCP Agent. +Provides consistent logging with structured data. +""" + +import logging +import json +import os +import sys +from typing import Dict, Any, Optional, Union +from datetime import datetime + +class StructuredLogger: + """ + Structured logger for the MCP Agent. + Provides consistent logging with structured data. + """ + + def __init__(self, name: str, level: int = logging.INFO): + """ + Initialize the structured logger. + + Args: + name: The name of the logger + level: The logging level (default: INFO) + """ + self.logger = logging.getLogger(name) + self.logger.setLevel(level) + + # Add console handler if not already present + if not self.logger.handlers: + handler = logging.StreamHandler(sys.stdout) + formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + handler.setFormatter(formatter) + self.logger.addHandler(handler) + + def log(self, level: int, message: str, context: Optional[Dict[str, Any]] = None): + """ + Log a message with structured context. + + Args: + level: The logging level + message: The message to log + context: Additional context data (default: None) + """ + if context: + self.logger.log(level, f"{message} - {json.dumps(context)}") + else: + self.logger.log(level, message) + + def debug(self, message: str, context: Optional[Dict[str, Any]] = None): + """Log a debug message.""" + self.log(logging.DEBUG, message, context) + + def info(self, message: str, context: Optional[Dict[str, Any]] = None): + """Log an info message.""" + self.log(logging.INFO, message, context) + + def warning(self, message: str, context: Optional[Dict[str, Any]] = None): + """Log a warning message.""" + self.log(logging.WARNING, message, context) + + def error(self, message: str, context: Optional[Dict[str, Any]] = None): + """Log an error message.""" + self.log(logging.ERROR, message, context) + + def critical(self, message: str, context: Optional[Dict[str, Any]] = None): + """Log a critical message.""" + self.log(logging.CRITICAL, message, context) + +class FileLogger(StructuredLogger): + """ + Extended structured logger that also logs to a file. + """ + + def __init__(self, name: str, log_dir: str = "logs", level: int = logging.INFO): + """ + Initialize the file logger. + + Args: + name: The name of the logger + log_dir: The directory to store log files (default: "logs") + level: The logging level (default: INFO) + """ + super().__init__(name, level) + + # Create log directory if it doesn't exist + os.makedirs(log_dir, exist_ok=True) + + # Create a file handler + log_file = os.path.join(log_dir, f"{name}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.log") + file_handler = logging.FileHandler(log_file) + file_formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + file_handler.setFormatter(file_formatter) + file_handler.setLevel(level) + + # Add file handler to logger + self.logger.addHandler(file_handler) + + self.info(f"Logging to file: {log_file}") + +def get_logger(name: str, log_to_file: bool = False, log_dir: str = "logs", level: int = logging.INFO) -> StructuredLogger: + """ + Get a structured logger. + + Args: + name: The name of the logger + log_to_file: Whether to log to a file (default: False) + log_dir: The directory to store log files (default: "logs") + level: The logging level (default: INFO) + + Returns: + A structured logger + """ + if log_to_file: + return FileLogger(name, log_dir, level) + else: + return StructuredLogger(name, level) diff --git a/agent/mcp_agent/run_server.py b/agent/mcp_agent/run_server.py new file mode 100644 index 0000000..a4908f0 --- /dev/null +++ b/agent/mcp_agent/run_server.py @@ -0,0 +1,65 @@ +""" +Run server script for the MCP Agent. +This script properly sets up the Python module structure for running the langgraph server. +""" + +import os +import sys +import argparse +import subprocess +import uvicorn +from pathlib import Path + +def main(): + """Run the langgraph server with the correct module structure.""" + parser = argparse.ArgumentParser(description="Run the MCP Agent server") + parser.add_argument("--host", default="localhost", help="Host to run the server on") + parser.add_argument("--port", default="8123", help="Port to run the server on") + parser.add_argument("--custom", action="store_true", help="Use custom server with health endpoint") + args = parser.parse_args() + + # Get the current directory (mcp_agent) + current_dir = Path(__file__).parent + + # Get the parent directory (agent) + agent_dir = current_dir.parent + + # Change to the agent directory + os.chdir(agent_dir) + + if args.custom: + # Run the custom server with health endpoint + try: + print(f"Starting custom MCP Agent server on http://{args.host}:{args.port}") + print(f"Health endpoint available at http://{args.host}:{args.port}/health") + uvicorn.run( + "mcp_agent.custom_server:create_app", + host=args.host, + port=int(args.port), + factory=True, + reload=True + ) + except KeyboardInterrupt: + print("\nServer stopped by user.") + else: + # Run the standard langgraph dev command + cmd = [ + "langgraph", "dev", + "--config", "langgraph.json", + "--host", args.host, + "--port", args.port, + "--no-browser" + ] + + try: + # Use subprocess.run with proper error handling + subprocess.run(cmd, check=True) + except KeyboardInterrupt: + print("\nServer stopped by user.") + except subprocess.CalledProcessError as e: + print(f"\nError running langgraph server: {e}") + except Exception as e: + print(f"\nUnexpected error: {e}") + +if __name__ == "__main__": + main() diff --git a/agent/mcp_agent/shared_state.py b/agent/mcp_agent/shared_state.py new file mode 100644 index 0000000..f977be6 --- /dev/null +++ b/agent/mcp_agent/shared_state.py @@ -0,0 +1,43 @@ +""" +Shared state model for LangGraph and OpenAI Agents SDK integration. +This module defines state models compatible with both frameworks and provides +conversion functions between them. +""" + +from typing import Dict, List, Optional, Union, Any +from typing_extensions import TypedDict +from pydantic import BaseModel, Field + +# LangGraph uses TypedDict for state +class LangGraphState(TypedDict, total=False): + """State model for LangGraph.""" + messages: List[Dict[str, Any]] + mcp_config: Optional[Dict[str, Any]] + conversation_id: Optional[str] + trace_id: Optional[str] + +# OpenAI Agents uses Pydantic models +class OpenAIAgentsState(BaseModel): + """State model for OpenAI Agents SDK.""" + messages: List[Dict[str, Any]] = Field(default_factory=list) + mcp_config: Optional[Dict[str, Any]] = None + conversation_id: Optional[str] = None + trace_id: Optional[str] = None + +def langgraph_to_openai(state: LangGraphState) -> OpenAIAgentsState: + """Convert LangGraph state to OpenAI Agents state.""" + return OpenAIAgentsState( + messages=state.get("messages", []), + mcp_config=state.get("mcp_config"), + conversation_id=state.get("conversation_id"), + trace_id=state.get("trace_id") + ) + +def openai_to_langgraph(state: OpenAIAgentsState) -> LangGraphState: + """Convert OpenAI Agents state to LangGraph state.""" + return { + "messages": state.messages, + "mcp_config": state.mcp_config, + "conversation_id": state.conversation_id, + "trace_id": state.trace_id + } diff --git a/agent/mcp_agent/test_agent_factory.py b/agent/mcp_agent/test_agent_factory.py new file mode 100644 index 0000000..cbc65c3 --- /dev/null +++ b/agent/mcp_agent/test_agent_factory.py @@ -0,0 +1,53 @@ +import pytest +import os +# Removed unused import: from mcp_agent.integrations.mem0_integration import Mem0MemoryManager +from mcp_agent.integrations.memorysaver_manager import MemorySaverManager +from mcp_agent.integrations.litellm_integration import LiteLLMWrapper +from mcp_agent.integrations.a2a_integration import A2ACommunicator +from mcp_agent.integrations.a2a_protocols import A2AMessage, TaskRequestPayload +from mcp_agent.agent_factory import AgentFactory + +pytestmark = pytest.mark.asyncio + +class DummyAgent: + def __init__(self, memory, llm, a2a, knowledge, **kwargs): + self.memory = memory + self.llm = llm + self.a2a = a2a + self.knowledge = knowledge + self.kwargs = kwargs + +async def test_memorysaver_manager(tmp_path): + manager = MemorySaverManager(storage_path=str(tmp_path / "memsaver.json")) + await manager.add_memory("user1", content="hello world") + results = await manager.search_memory("user1", query="hello") + assert results and results[0]["content"] == "hello world" + all_memories = await manager.get_all_memories("user1") + assert len(all_memories) == 1 + await manager.update_memory("0", {"content": "updated"}) + updated = await manager.get_memory("0") + assert updated["content"] == "updated" + await manager.delete_memory("0") + assert await manager.get_memory("0") is None + +async def test_a2a_communicator(): + comm = A2ACommunicator() + msg = A2AMessage( + sender_agent_id="a1", + recipient_agent_id="a2", + message_type="task_request", + payload=TaskRequestPayload(task_type="echo", parameters={"msg": "hi"}), + ) + await comm.send_message(msg) + received = await comm.receive_message("a2", timeout=1) + assert received and received.sender_agent_id == "a1" + +async def test_agent_factory_memorysaver(): + os.environ["MEMORY_BACKEND"] = "memorysaver" + factory = AgentFactory() + agent = factory.create_agent(DummyAgent, agent_id="test1") + assert isinstance(agent.memory, MemorySaverManager) + assert isinstance(agent.llm, LiteLLMWrapper) + assert isinstance(agent.a2a, A2ACommunicator) + +# Add more tests for Mem0MemoryManager and LiteLLMWrapper as needed (mock external APIs) \ No newline at end of file diff --git a/agent/mcp_agent/test_graphiti_integration.py b/agent/mcp_agent/test_graphiti_integration.py new file mode 100644 index 0000000..3aef31a --- /dev/null +++ b/agent/mcp_agent/test_graphiti_integration.py @@ -0,0 +1,63 @@ +import pytest +import os +from mcp_agent.integrations.graphiti_integration import ( + GraphitiKnowledgeSource, + KnowledgeEntity, + KnowledgeRelation, + KnowledgeQuery +) +from mcp_agent.agent_factory import AgentFactory + +pytestmark = pytest.mark.asyncio + +class DummyAgent: + def __init__(self, memory, llm, a2a, knowledge, **kwargs): + self.memory = memory + self.llm = llm + self.a2a = a2a + self.knowledge = knowledge + self.kwargs = kwargs + +async def test_graphiti_knowledge_source(): + """Test basic functionality of the GraphitiKnowledgeSource""" + knowledge_source = GraphitiKnowledgeSource() + + # Test query + query_result = await knowledge_source.query("test query") + assert query_result.entities + assert len(query_result.entities) > 0 + + # Test entity operations + entity = KnowledgeEntity( + id="test-entity", + type="test", + properties={"name": "Test Entity"} + ) + entity_id = await knowledge_source.add_entity(entity) + assert entity_id == "test-entity" + + retrieved_entity = await knowledge_source.get_entity("test-entity") + assert retrieved_entity is not None + assert retrieved_entity.id == "test-entity" + + # Test search + search_results = await knowledge_source.search_entities("test") + assert len(search_results) > 0 + + # Test relation + relation = KnowledgeRelation( + source_id="entity1", + target_id="entity2", + type="related_to" + ) + result = await knowledge_source.add_relation(relation) + assert result is True + +async def test_agent_factory_graphiti(): + """Test that the agent factory correctly creates and injects the GraphitiKnowledgeSource""" + os.environ["KNOWLEDGE_BACKEND"] = "graphiti" + factory = AgentFactory() + agent = factory.create_agent(DummyAgent, agent_id="test1") + + assert agent.knowledge is not None + assert isinstance(agent.knowledge, GraphitiKnowledgeSource) diff --git a/agent/poetry.lock b/agent/poetry.lock index 294657a..29784db 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@default(uuid()) + email String @unique + name String? + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + sessions Session[] + entities Entity[] + relations Relation[] +} + +model Session { + id String @id @default(uuid()) + userId String + user User @relation(fields: [userId], references: [id], onDelete: Cascade) + expiresAt DateTime + createdAt DateTime @default(now()) +} + +model Entity { + id String @id @default(uuid()) + name String + type String + properties Json @default("{}") + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + userId String + user User @relation(fields: [userId], references: [id], onDelete: Cascade) + fromRelations Relation[] @relation("FromEntity") + toRelations Relation[] @relation("ToEntity") +} + +model Relation { + id String @id @default(uuid()) + type String + properties Json @default("{}") + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + fromEntityId String + toEntityId String + fromEntity Entity @relation("FromEntity", fields: [fromEntityId], references: [id], onDelete: Cascade) + toEntity Entity @relation("ToEntity", fields: [toEntityId], references: [id], onDelete: Cascade) + userId String + user User @relation(fields: [userId], references: [id], onDelete: Cascade) +} diff --git a/agent/pyproject.toml b/agent/pyproject.toml index b07c377..96736a9 100644 --- a/agent/pyproject.toml +++ b/agent/pyproject.toml @@ -4,11 +4,14 @@ version = "0.1.0" description = "Starter" authors = ["Markus Ecker "] license = "MIT" -packages = [{include = "mcp-agent"}] +packages = [{include = "mcp_agent"}] + +[tool.poetry.group.dev.dependencies] +autoflake = "^2.3.1" [project] name = "mcp-agent" -version = "0.0.1" +version = "0.1.0" dependencies = [ "langchain-openai>=0.2.1", "langchain-anthropic>=0.2.1", @@ -22,7 +25,12 @@ dependencies = [ "langgraph-cli[inmem]>=0.1.64", "langchain-mcp-adapters>=0.0.3", "fastmcp>=0.4.1", - "langgraph>=0.3.5" + "langgraph (>=0.3.31,<0.4.0)", + "langgraph-checkpoint (>=2.0.24,<3.0.0)", + "sentry-sdk[fastapi] (>=2.26.1,<3.0.0)", + "psycopg2-binary>=2.9.9", + "python-dotenv>=1.0.1", + "requests (>=2.32.3,<3.0.0)" ] [build-system] @@ -44,6 +52,12 @@ langgraph-cli = {extras = ["inmem"], version = "^0.1.64"} langchain-mcp-adapters = "^0.0.3" fastmcp = "^0.4.1" langgraph = "^0.3.5" +litellm = "^1.43.12" +mem0ai = "^0.1.17" +pydantic = "^2.8.2" +logfire = "^0.19.0" +psycopg2-binary = "^2.9.9" [tool.poetry.scripts] -demo = "mcp-agent.demo:main" +demo = "mcp_agent.run_server:main" +custom-server = "mcp_agent.custom_server_entry:run_custom_server" diff --git a/agent/run_autoflake.py b/agent/run_autoflake.py new file mode 100644 index 0000000..a37e8ea --- /dev/null +++ b/agent/run_autoflake.py @@ -0,0 +1,31 @@ +""" +Run autoflake on the entire backend codebase to remove unused imports and variables. +""" + +import os +import subprocess +from pathlib import Path + +def main(): + # Get the current directory (agent) + agent_dir = Path(__file__).parent + + # Get the mcp_agent directory + mcp_agent_dir = agent_dir / "mcp_agent" + + # Run autoflake on the mcp_agent directory + cmd = [ + "poetry", "run", "autoflake", + "--remove-all-unused-imports", + "--remove-unused-variables", + "--recursive", + "--in-place", + str(mcp_agent_dir) + ] + + print("Running autoflake on the backend code...") + subprocess.run(cmd, cwd=agent_dir) + print("Autoflake completed.") + +if __name__ == "__main__": + main() diff --git a/agent/test_framework_integration.py b/agent/test_framework_integration.py new file mode 100644 index 0000000..d67c5a9 --- /dev/null +++ b/agent/test_framework_integration.py @@ -0,0 +1,127 @@ +""" +Test script for verifying the framework integration. +This script tests the framework selection endpoint and verifies that both LangGraph and OpenAI Agents frameworks work. +""" + +import os +import sys +import json +import time +import requests +from typing import Dict, Any, Optional + +# Set the backend URL +BACKEND_URL = "http://localhost:8124" + +def test_health_endpoint() -> Dict[str, Any]: + """Test the health endpoint.""" + print(f"\n🔍 Testing health endpoint...") + try: + response = requests.get(f"{BACKEND_URL}/health") + response.raise_for_status() + data = response.json() + print(f"✅ Health endpoint is working: {data['status']}") + print(f" Current framework: {data.get('framework', 'unknown')}") + + # Check if services are available + services = data.get("services", {}) + for service_name, service_info in services.items(): + status = "✅" if service_info.get("status") == "ok" else "❌" + print(f" {status} {service_name}: {service_info.get('status')}") + + return data + except Exception as e: + print(f"❌ Error testing health endpoint: {e}") + sys.exit(1) + +def test_framework_selection(framework: str) -> Dict[str, Any]: + """Test the framework selection endpoint.""" + print(f"\n🔍 Testing framework selection: {framework}...") + try: + response = requests.post( + f"{BACKEND_URL}/config/mode", + json={"mode": framework} + ) + response.raise_for_status() + data = response.json() + print(f"✅ Framework set to: {data['mode']}") + + # Verify the framework was set correctly + health_data = test_health_endpoint() + if health_data.get("framework") == framework: + print(f"✅ Framework successfully changed to {framework}") + else: + print(f"❌ Framework change failed. Expected {framework}, got {health_data.get('framework')}") + + return data + except Exception as e: + print(f"❌ Error setting framework to {framework}: {e}") + return {"error": str(e)} + +def test_invoke_endpoint(framework: str, message: str) -> Dict[str, Any]: + """Test the invoke endpoint with the specified framework.""" + print(f"\n🔍 Testing invoke endpoint with {framework} framework...") + try: + # Set the framework first + test_framework_selection(framework) + + # Prepare the request data + request_data = { + "inputs": { + "messages": [ + {"role": "user", "content": message} + ] + }, + "config": { + "instructions": "You are a helpful assistant. Respond briefly." + } + } + + # Send the request + response = requests.post( + f"{BACKEND_URL}/v1/graphs/mcp-agent/invoke", + json=request_data + ) + response.raise_for_status() + data = response.json() + + # Extract the assistant's response + outputs = data.get("outputs", {}) + messages = outputs.get("messages", []) + assistant_messages = [msg for msg in messages if msg.get("role") == "assistant"] + + if assistant_messages: + print(f"✅ Received response from {framework} framework:") + print(f" {assistant_messages[-1].get('content')[:100]}...") + else: + print(f"❌ No assistant response received from {framework} framework") + + return data + except Exception as e: + print(f"❌ Error invoking {framework} framework: {e}") + return {"error": str(e)} + +def main(): + """Run the tests.""" + print("🧪 Testing Framework Integration") + print("===============================") + + # Test the health endpoint + health_data = test_health_endpoint() + + # Test LangGraph framework + langgraph_result = test_invoke_endpoint("langgraph", "What is LangGraph?") + + # Test OpenAI Agents framework + openai_agents_result = test_invoke_endpoint("openai_agents", "What is OpenAI Agents SDK?") + + # Test Hybrid framework + hybrid_result = test_invoke_endpoint("hybrid", "What is the difference between LangGraph and OpenAI Agents SDK?") + + # Reset to default framework + test_framework_selection("langgraph") + + print("\n✅ All tests completed!") + +if __name__ == "__main__": + main() diff --git a/agent/test_knowledge_server.py b/agent/test_knowledge_server.py new file mode 100644 index 0000000..0f8af14 --- /dev/null +++ b/agent/test_knowledge_server.py @@ -0,0 +1,79 @@ +""" +Test script for the knowledge server. +This script tests the basic functionality of the knowledge server. +""" + +import asyncio +import json +from mcp_agent.integrations.graphiti_integration import ( + GraphitiKnowledgeSource, + KnowledgeEntity, + KnowledgeRelation +) + +async def test_knowledge_source(): + """Test the basic functionality of the GraphitiKnowledgeSource.""" + print("Testing GraphitiKnowledgeSource...") + + # Initialize the knowledge source + knowledge_source = GraphitiKnowledgeSource() + + # Test entity operations + print("\n1. Testing entity operations:") + + # Create a test entity + entity = KnowledgeEntity( + id="test-entity-1", + type="concept", + properties={"name": "Test Entity", "description": "This is a test entity"} + ) + + # Add the entity + entity_id = await knowledge_source.add_entity(entity) + print(f" - Added entity with ID: {entity_id}") + + # Get the entity + retrieved_entity = await knowledge_source.get_entity(entity_id) + print(f" - Retrieved entity: {retrieved_entity.dict()}") + + # Test relation operations + print("\n2. Testing relation operations:") + + # Create another test entity + entity2 = KnowledgeEntity( + id="test-entity-2", + type="concept", + properties={"name": "Related Entity", "description": "This is a related entity"} + ) + + # Add the second entity + entity2_id = await knowledge_source.add_entity(entity2) + print(f" - Added second entity with ID: {entity2_id}") + + # Create a relation between the entities + relation = KnowledgeRelation( + source_id=entity_id, + target_id=entity2_id, + type="related_to", + properties={"strength": 0.8} + ) + + # Add the relation + result = await knowledge_source.add_relation(relation) + print(f" - Added relation: {result}") + + # Test query operations + print("\n3. Testing query operations:") + + # Query the knowledge graph + query_result = await knowledge_source.query("test") + print(f" - Query result: {query_result.dict()}") + + # Search for entities + search_results = await knowledge_source.search_entities("Test") + print(f" - Search results: {[entity.dict() for entity in search_results]}") + + print("\nAll tests completed successfully!") + +if __name__ == "__main__": + asyncio.run(test_knowledge_source()) diff --git a/agent/test_server.py b/agent/test_server.py new file mode 100644 index 0000000..7cdc8c6 --- /dev/null +++ b/agent/test_server.py @@ -0,0 +1,96 @@ +#!/usr/bin/env python +""" +Test script to verify the MCP Agent server is working correctly. +This script tests the health endpoint and other basic functionality. +""" + +import sys +import time +import requests +import argparse +import logging + +# Configure logging +logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') +logger = logging.getLogger(__name__) + +def test_health_endpoint(base_url="http://localhost:8124"): + """Test the health endpoint.""" + try: + logger.info(f"Testing health endpoint at {base_url}/health") + response = requests.get(f"{base_url}/health", timeout=5) + response.raise_for_status() # Raise an exception for 4XX/5XX responses + + logger.info(f"Health endpoint response: {response.status_code} {response.reason}") + logger.info(f"Response body: {response.json()}") + + return True + except requests.exceptions.RequestException as e: + logger.error(f"Error testing health endpoint: {e}") + return False + +def test_routes_endpoint(base_url="http://localhost:8124"): + """Test the routes endpoint.""" + try: + logger.info(f"Testing routes endpoint at {base_url}/routes") + response = requests.get(f"{base_url}/routes", timeout=5) + response.raise_for_status() + + logger.info(f"Routes endpoint response: {response.status_code} {response.reason}") + routes = response.json().get("routes", []) + logger.info(f"Available routes: {len(routes)}") + for route in routes: + logger.info(f" {route['path']} [{','.join(route['methods'])}]") + + return True + except requests.exceptions.RequestException as e: + logger.error(f"Error testing routes endpoint: {e}") + return False + +def test_root_endpoint(base_url="http://localhost:8124"): + """Test the root endpoint.""" + try: + logger.info(f"Testing root endpoint at {base_url}/") + response = requests.get(f"{base_url}/", timeout=5) + response.raise_for_status() + + logger.info(f"Root endpoint response: {response.status_code} {response.reason}") + logger.info(f"Response body: {response.json()}") + + return True + except requests.exceptions.RequestException as e: + logger.error(f"Error testing root endpoint: {e}") + return False + +def main(): + """Main function.""" + parser = argparse.ArgumentParser(description="Test the MCP Agent server") + parser.add_argument("--url", default="http://localhost:8124", help="Base URL of the server") + parser.add_argument("--wait", type=int, default=0, help="Wait time in seconds before testing") + args = parser.parse_args() + + if args.wait > 0: + logger.info(f"Waiting {args.wait} seconds for server to start...") + time.sleep(args.wait) + + # Run the tests + health_ok = test_health_endpoint(args.url) + routes_ok = test_routes_endpoint(args.url) + root_ok = test_root_endpoint(args.url) + + # Print summary + logger.info("\nTest Summary:") + logger.info(f"Health Endpoint: {'✅ PASS' if health_ok else '❌ FAIL'}") + logger.info(f"Routes Endpoint: {'✅ PASS' if routes_ok else '❌ FAIL'}") + logger.info(f"Root Endpoint: {'✅ PASS' if root_ok else '❌ FAIL'}") + + # Exit with appropriate status code + if health_ok and routes_ok and root_ok: + logger.info("All tests passed! Server is working correctly.") + return 0 + else: + logger.error("Some tests failed. Server may not be working correctly.") + return 1 + +if __name__ == "__main__": + sys.exit(main()) diff --git a/check-lint.js b/check-lint.js new file mode 100644 index 0000000..0a0c824 --- /dev/null +++ b/check-lint.js @@ -0,0 +1,14 @@ +const { execSync } = require('child_process'); +const path = require('path'); + +try { + console.log('Running ESLint check on frontend...'); + execSync('cd frontend && pnpm lint', { + stdio: 'inherit', + cwd: path.resolve(__dirname) + }); + console.log('ESLint completed successfully!'); +} catch (error) { + console.error('Error running ESLint:', error.message); + process.exit(1); +} diff --git a/diagnose-backend.ps1 b/diagnose-backend.ps1 new file mode 100644 index 0000000..f07f47a --- /dev/null +++ b/diagnose-backend.ps1 @@ -0,0 +1,3 @@ +# PowerShell shortcut to diagnose backend issues +$scriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path +& "$scriptDir\scripts\diagnose-backend.ps1" diff --git a/docs/agent-framework-comparison.md b/docs/agent-framework-comparison.md new file mode 100644 index 0000000..c39b3bd --- /dev/null +++ b/docs/agent-framework-comparison.md @@ -0,0 +1,193 @@ +# Agent Framework Comparison and Integration Challenges + +This document analyzes the key differences between popular agent frameworks (LangGraph, OpenAI Agents SDK, CrewAI, and AutoGen) and identifies aspects that might not mix efficiently when creating AI agent teams. + +## Framework Architectures + +### LangGraph + +**Core Architecture:** +- Based on a directed graph model with nodes and edges +- Uses `StateGraph` as the primary abstraction +- Defines explicit state transitions between nodes +- Relies on `MemorySaver` for state persistence +- Uses TypedDict for state schema definition + +**Key Components:** +- Nodes: Functions that process state +- Edges: Connections between nodes +- Conditional Edges: Dynamic routing based on state +- State: Typed dictionary with defined schema +- Commands: Control flow instructions + +### OpenAI Agents SDK + +**Core Architecture:** +- Object-oriented with Agent as the primary abstraction +- Uses Runner for execution flow +- Focuses on tool integration and handoffs +- Structured around message passing +- Supports Pydantic models for structured output + +**Key Components:** +- Agent: Main abstraction with instructions and tools +- Runner: Executes agent workflows +- Tools: Function-based capabilities +- Handoffs: Agent-to-agent delegation +- RunContext: Execution context with state + +### CrewAI + +**Core Architecture:** +- Role-based with Agent and Crew abstractions +- Process-oriented with sequential or hierarchical flows +- Task-centric execution model +- Supports conditional task execution +- Recently added Flow for more structured workflows + +**Key Components:** +- Agent: Role-playing entity with goals +- Crew: Collection of agents with tasks +- Task: Work unit assigned to agents +- Process: Execution strategy (sequential/hierarchical) +- Flow: Structured workflow with state management + +### AutoGen + +**Core Architecture:** +- Message-based with publish/subscribe patterns +- Agent-centric with specialized agent types +- Tool-oriented with function calling +- Supports group chats and conversations +- Uses CancellationToken for flow control + +**Key Components:** +- AssistantAgent: Main agent abstraction +- Tools: Function-based capabilities +- GroupChat: Multi-agent conversation +- MessageContext: Context for message handling +- ModelClient: Interface to LLM providers + +## Integration Challenges + +When attempting to mix these frameworks, several aspects may not integrate efficiently: + +### 1. State Management Incompatibilities + +- **Different State Representations:** + - LangGraph uses TypedDict with explicit schemas + - OpenAI Agents uses RunContext with context objects + - CrewAI uses BaseModel (Pydantic) for state + - AutoGen uses message-based state with dictionaries + +- **Persistence Mechanisms:** + - LangGraph uses MemorySaver + - OpenAI Agents has its own memory management + - CrewAI relies on in-memory state with some persistence + - AutoGen uses various memory implementations + +**Integration Challenge:** State cannot be easily shared between frameworks without custom adapters. + +### 2. Execution Flow Differences + +- **Control Flow Models:** + - LangGraph uses explicit graph-based control flow + - OpenAI Agents uses Runner with sequential execution + - CrewAI uses Process (sequential/hierarchical) + - AutoGen uses message passing and callbacks + +- **Termination Conditions:** + - LangGraph uses END node or Command + - OpenAI Agents relies on completion of all steps + - CrewAI uses explicit termination or task completion + - AutoGen uses custom termination conditions + +**Integration Challenge:** Coordinating execution flow across frameworks requires complex orchestration. + +### 3. Tool Integration Approaches + +- **Tool Definition:** + - LangGraph uses function tools with specific signatures + - OpenAI Agents uses function_tool decorator or FunctionTool + - CrewAI has custom tool classes + - AutoGen uses FunctionTool with specific interfaces + +- **Tool Execution:** + - LangGraph uses ToolNode + - OpenAI Agents has direct tool execution + - CrewAI integrates tools with agents + - AutoGen has tool execution through agents + +**Integration Challenge:** Tools defined in one framework may not be directly usable in another. + +### 4. Agent Communication Patterns + +- **Message Formats:** + - LangGraph uses dictionaries with specific keys + - OpenAI Agents uses standardized message objects + - CrewAI uses task outputs + - AutoGen uses typed message classes + +- **Handoff Mechanisms:** + - LangGraph uses Command objects + - OpenAI Agents has explicit handoff methods + - CrewAI uses task context + - AutoGen uses publish/subscribe + +**Integration Challenge:** Messages and handoffs between frameworks require translation layers. + +### 5. Configuration and Setup + +- **Initialization:** + - LangGraph requires graph compilation + - OpenAI Agents needs Agent and Runner setup + - CrewAI requires Crew configuration + - AutoGen needs agent and model client setup + +- **Environment Requirements:** + - Different dependency structures + - Potential version conflicts + - Different configuration approaches + +**Integration Challenge:** Setting up a mixed environment may lead to dependency conflicts. + +## Recommendations for Framework Selection + +When creating an AI agent team, it's recommended to choose a single framework based on your specific needs: + +1. **Choose LangGraph if:** + - You need explicit control flow with complex routing + - Your workflow has well-defined state transitions + - You want integration with the broader LangChain ecosystem + +2. **Choose OpenAI Agents SDK if:** + - You want tight integration with OpenAI models + - You need simple agent-to-agent handoffs + - You prefer a more straightforward, less complex API + +3. **Choose CrewAI if:** + - You want a role-playing, task-oriented approach + - You need hierarchical team structures + - You prefer a more human-like agent organization + +4. **Choose AutoGen if:** + - You need complex multi-agent conversations + - You want robust tool integration + - You prefer a message-based architecture + +## Hybrid Approach (Advanced) + +If you must combine frameworks, consider: + +1. **Adapter Pattern:** Create adapter classes that translate between framework interfaces +2. **Service-Oriented Architecture:** Run each framework as a separate service with API communication +3. **Shared Memory Store:** Use a common external memory store (e.g., Redis, PostgreSQL) +4. **Event-Driven Integration:** Use an event bus to coordinate between frameworks + +However, this approach adds significant complexity and should only be used when absolutely necessary. + +## Conclusion + +While it's technically possible to integrate multiple agent frameworks, the architectural differences make it inefficient and complex. For most use cases, selecting a single framework that best matches your requirements will provide a more maintainable and efficient solution. + +If you need functionality from multiple frameworks, consider contributing to your chosen framework to add the missing features rather than attempting to integrate disparate systems. diff --git a/docs/backend-analysis.md b/docs/backend-analysis.md new file mode 100644 index 0000000..51122e5 --- /dev/null +++ b/docs/backend-analysis.md @@ -0,0 +1,147 @@ +# Analysis of the Backend Structure in @agent + +## Overview of the Backend Architecture + +The KB-multi-agent backend is built with a modular, extensible architecture that leverages LangGraph for agent workflows while adding significant custom functionality. The backend is organized into several key components: + +1. **Core Agent Framework** (`agent/mcp_agent/`) +2. **Specialized Servers** (`agent/knowledge_server.py`, `agent/math_server.py`) +3. **Modular Integrations** (`agent/mcp_agent/integrations/`) +4. **Custom Server Implementation** (`agent/mcp_agent/custom_server.py`) + +## Custom Setup vs. Standard LangGraph + +### Standard LangGraph Components + +The project uses several standard LangGraph components: + +1. **StateGraph**: Used in `agent.py` to define the agent workflow + ```python + workflow = StateGraph(AgentState) + workflow.add_node("chat_node", chat_node) + workflow.set_entry_point("chat_node") + ``` + +2. **MemorySaver**: Used for state persistence + ```python + graph = workflow.compile(MemorySaver()) + ``` + +3. **LangGraph Configuration**: Standard `langgraph.json` configuration file that defines: + - Python version (3.12) + - Graph entry points + - Environment file location + +4. **LangGraph CLI**: Support for running via the standard LangGraph CLI + ```python + # Run the standard langgraph dev command + cmd = [ + "langgraph", "dev", + "--config", "langgraph.json", + "--host", args.host, + "--port", args.port, + "--no-browser" + ] + ``` + +### Custom Extensions and Enhancements + +The project significantly extends the standard LangGraph implementation with: + +1. **Agent Factory Pattern** (`agent_factory.py`): + - Creates agents with modular, configurable backends + - Supports dynamic selection of memory, LLM, and knowledge backends + - Configurable through environment variables + ```python + class AgentFactory: + def __init__(self, config: Optional[Dict[str, Any]] = None): + self.config = config or self._load_config_from_env() + self.memory_backend = self.config.get("MEMORY_BACKEND", "memorysaver").lower() + self.llm_backend = self.config.get("LLM_BACKEND", "litellm").lower() + self.a2a_backend = self.config.get("A2A_BACKEND", "inmemory").lower() + self.knowledge_backend = self.config.get("KNOWLEDGE_BACKEND", "graphiti").lower() + ``` + +2. **Custom FastAPI Server** (`custom_server.py`): + - Extends LangGraph with a health endpoint + - Adds CORS middleware for frontend communication + - Provides diagnostic endpoints + - Includes error handling and logging + ```python + @app.get("/health") + async def health_check(): + # Check if LangGraph is available + langgraph_available = False + try: + from mcp_agent.agent import graph + langgraph_available = True + except ImportError: + pass + ``` + +3. **Modular Integration System**: + - **Memory Management**: + - `BaseMemoryManager` protocol defining the interface + - `Mem0MemoryManager` for external memory service + - `MemorySaverManager` wrapping LangGraph's MemorySaver + + - **LLM Integration**: + - `LiteLLMWrapper` providing a unified interface to various LLM providers + + - **Agent-to-Agent Communication**: + - `A2ACommunicator` for inter-agent messaging + - `A2AMessage` protocol for standardized messages + + - **Knowledge Graph**: + - `GraphitiKnowledgeSource` for knowledge graph operations + + - **Logging and Tracing**: + - `LogfireLogger` for structured logging and tracing + +4. **Enhanced State Management**: + - Extends CopilotKitState with custom fields + ```python + class AgentState(CopilotKitState): + mcp_config: Optional[MCPConfig] + conversation_id: Optional[str] = None + trace_id: Optional[str] = None + ``` + +5. **Specialized MCP Servers**: + - `knowledge_server.py` for knowledge graph operations + - `math_server.py` for mathematical operations + - Both use the `FastMCP` framework for tool definition + +6. **Fallback Health Server** (`health_server.py`): + - Provides a minimal server with health and diagnostic endpoints + - Used as a fallback when the custom server fails to start + +## Key Architectural Patterns + +1. **Factory Pattern**: The `AgentFactory` creates agents with configurable backends +2. **Protocol-Based Interfaces**: Defines clear interfaces for integrations (e.g., `BaseMemoryManager`) +3. **Dependency Injection**: Components are injected into agents rather than hardcoded +4. **Modular Configuration**: Environment variables and config files for flexible setup +5. **Graceful Degradation**: Fallback mechanisms when components are unavailable + +## Integration with Frontend + +The backend integrates with the Next.js frontend through: + +1. **Server-Sent Events (SSE)**: For real-time updates +2. **Health Endpoints**: For status monitoring +3. **CopilotKit State Management**: For synchronized state between frontend and backend + +## Conclusion + +The KB-multi-agent backend significantly extends the standard LangGraph implementation with: + +1. **Enhanced Modularity**: Pluggable components for memory, LLM, knowledge, etc. +2. **Improved Developer Experience**: Health endpoints, diagnostics, and error handling +3. **Production-Ready Features**: Logging, tracing, and fallback mechanisms +4. **Flexible Configuration**: Environment variables and config files +5. **Standardized Communication**: Protocols for agent-to-agent messaging + +This custom architecture provides a more robust, flexible, and maintainable foundation than using LangGraph alone, while still leveraging LangGraph's core strengths for agent workflow definition and execution. + +The most significant custom additions are the modular integration system, the agent factory pattern, and the enhanced server implementation, which together create a comprehensive framework for building and deploying multi-agent systems. diff --git a/docs/updated-integration-strategy.md b/docs/updated-integration-strategy.md new file mode 100644 index 0000000..62e830b --- /dev/null +++ b/docs/updated-integration-strategy.md @@ -0,0 +1,333 @@ +# Updated LangGraph and OpenAI Agents SDK Integration Strategy + +This document outlines a refined strategy for integrating our existing LangGraph-based backend with the OpenAI Agents SDK while preserving all current functionality. + +## Current Architecture + +Our current system uses: +- LangGraph for agent workflow definition (`StateGraph`) +- Custom FastAPI server with health endpoints +- MCP configuration via frontend localStorage +- Server-Sent Events (SSE) for communication +- Modular integrations for memory, LLM, and knowledge + +## Integration Goals + +1. **Preserve Existing Functionality**: Ensure all current features continue to work +2. **Add OpenAI Agents SDK Support**: Integrate the OpenAI Agents SDK as an alternative execution engine +3. **Unified Configuration**: Single configuration system for both frameworks +4. **Streamlined Backend**: Consolidate server implementations +5. **Frontend Compatibility**: Maintain existing frontend interfaces + +## Implementation Strategy + +### 1. Unified State Model + +Create a unified state model that works with both frameworks: + +```python +# In shared_state.py +from typing import Dict, List, Optional, Union, Any +from typing_extensions import TypedDict +from pydantic import BaseModel +from copilotkit import CopilotKitState + +# LangGraph uses TypedDict +class LangGraphState(CopilotKitState): + mcp_config: Optional[Dict[str, Any]] + conversation_id: Optional[str] = None + trace_id: Optional[str] = None + +# OpenAI Agents uses Pydantic models +class OpenAIAgentsState(BaseModel): + messages: List[Dict[str, Any]] + mcp_config: Optional[Dict[str, Any]] = None + conversation_id: Optional[str] = None + trace_id: Optional[str] = None + +# Conversion functions +def langgraph_to_openai(state: LangGraphState) -> OpenAIAgentsState: + return OpenAIAgentsState( + messages=state.get("messages", []), + mcp_config=state.get("mcp_config"), + conversation_id=state.get("conversation_id"), + trace_id=state.get("trace_id") + ) + +def openai_to_langgraph(state: OpenAIAgentsState) -> LangGraphState: + return { + "messages": state.messages, + "mcp_config": state.mcp_config, + "conversation_id": state.conversation_id, + "trace_id": state.trace_id + } +``` + +### 2. Agent Implementation Adapters + +Create adapters that allow the same agent logic to be used with either framework: + +```python +# In agent_adapters.py +from agents import Agent as OpenAIAgent, Runner +from langgraph.graph import StateGraph + +class OpenAIAgentAdapter: + """Adapts our LangGraph agent to work with OpenAI Agents SDK""" + + def __init__(self, name, instructions, tools): + self.openai_agent = OpenAIAgent( + name=name, + instructions=instructions, + tools=tools + ) + + async def process(self, state): + # Convert LangGraph state to OpenAI Agents format + openai_state = langgraph_to_openai(state) + + # Run the OpenAI agent + result = await Runner.run(self.openai_agent, openai_state.messages) + + # Convert result back to LangGraph format + return { + "messages": state["messages"] + result.new_messages, + "conversation_id": result.conversation_id or state.get("conversation_id"), + "trace_id": result.trace_id or state.get("trace_id") + } + +class LangGraphAgentAdapter: + """Adapts OpenAI Agents to work with LangGraph""" + + def __init__(self, openai_agent): + self.openai_agent = openai_agent + + async def __call__(self, state): + # This function will be used as a LangGraph node + openai_state = langgraph_to_openai(state) + result = await Runner.run(self.openai_agent, openai_state.messages) + return { + "messages": state["messages"] + result.new_messages, + "conversation_id": result.conversation_id or state.get("conversation_id"), + "trace_id": result.trace_id or state.get("trace_id") + } +``` + +### 3. Tool Compatibility Layer + +Create a compatibility layer for tools to work with both frameworks: + +```python +# In tool_adapters.py +from agents import function_tool as openai_function_tool +from langchain.tools import Tool as LangChainTool + +def adapt_langchain_tool_to_openai(lc_tool): + """Convert a LangChain tool to an OpenAI Agents tool""" + @openai_function_tool + async def adapted_tool(*args, **kwargs): + return await lc_tool.invoke(*args, **kwargs) + + # Copy metadata + adapted_tool.__name__ = lc_tool.name + adapted_tool.__doc__ = lc_tool.description + + return adapted_tool + +def adapt_openai_tool_to_langchain(openai_tool): + """Convert an OpenAI Agents tool to a LangChain tool""" + async def _run(*args, **kwargs): + return await openai_tool(*args, **kwargs) + + return LangChainTool( + name=openai_tool.__name__, + description=openai_tool.__doc__, + func=_run + ) +``` + +### 4. Unified Server Implementation + +Enhance the server to support both frameworks: + +```python +# In server.py +from fastapi import FastAPI, Request +from pydantic import BaseModel + +app = FastAPI() + +class FrameworkMode(str, Enum): + LANGGRAPH = "langgraph" + OPENAI_AGENTS = "openai_agents" + HYBRID = "hybrid" + +# Configuration endpoint to set the mode +@app.post("/config/mode") +async def set_mode(mode: FrameworkMode): + # Store the mode in a global config or database + current_mode = mode + return {"mode": current_mode} + +# Unified invoke endpoint that works with both frameworks +@app.post("/v1/invoke") +async def invoke(request: Request): + data = await request.json() + + if current_mode == FrameworkMode.LANGGRAPH: + # Use LangGraph processing + return await process_with_langgraph(data) + elif current_mode == FrameworkMode.OPENAI_AGENTS: + # Use OpenAI Agents processing + return await process_with_openai_agents(data) + else: + # Hybrid mode - try OpenAI Agents first, fall back to LangGraph + try: + return await process_with_openai_agents(data) + except Exception as e: + logger.warning(f"OpenAI Agents processing failed: {e}, falling back to LangGraph") + return await process_with_langgraph(data) +``` + +### 5. Factory Method for Agent Creation + +Enhance the agent factory to support both frameworks: + +```python +# In agent_factory.py +class AgentFactory: + def __init__(self, config=None): + self.config = config or self._load_config_from_env() + self.framework = self.config.get("FRAMEWORK", "langgraph").lower() + # ... existing initialization ... + + def create_agent(self, agent_class, **kwargs): + """Create an agent with the appropriate framework""" + # Common components + memory = self.get_memory_manager() + llm = self.get_llm_client() + a2a = self.get_a2a_communicator() + knowledge = self.get_knowledge_source() + logger = self.get_logger() + + if self.framework == "openai_agents": + # Create an OpenAI Agents SDK agent + return self._create_openai_agent( + memory, llm, a2a, knowledge, logger, **kwargs + ) + else: + # Create a LangGraph agent (default) + return self._create_langgraph_agent( + agent_class, memory, llm, a2a, knowledge, logger, **kwargs + ) + + def _create_langgraph_agent(self, agent_class, memory, llm, a2a, knowledge, logger, **kwargs): + # Existing implementation for LangGraph agents + return agent_class(memory=memory, llm=llm, a2a=a2a, knowledge=knowledge, **kwargs) + + def _create_openai_agent(self, memory, llm, a2a, knowledge, logger, **kwargs): + # New implementation for OpenAI Agents + # Convert our components to OpenAI Agents compatible format + adapted_memory = self._adapt_memory_to_openai(memory) + adapted_llm = self._adapt_llm_to_openai(llm) + adapted_tools = self._get_openai_tools(a2a, knowledge) + + # Create the OpenAI agent + return OpenAIAgent( + name=kwargs.get("agent_id", "assistant"), + instructions=kwargs.get("instructions", "You are a helpful assistant."), + tools=adapted_tools, + # Additional OpenAI Agent parameters + ) +``` + +### 6. Configuration Management + +Create a unified configuration system: + +```python +# In config.py +def load_config(framework="langgraph"): + """Load configuration for the specified framework""" + # Base configuration common to both frameworks + base_config = { + "MEMORY_BACKEND": os.getenv("MEMORY_BACKEND", "memorysaver"), + "LLM_BACKEND": os.getenv("LLM_BACKEND", "litellm"), + "KNOWLEDGE_BACKEND": os.getenv("KNOWLEDGE_BACKEND", "graphiti"), + "LOGGING_ENABLED": os.getenv("LOGGING_ENABLED", "true"), + } + + # Framework-specific configuration + if framework == "openai_agents": + openai_config = { + "OPENAI_API_KEY": os.getenv("OPENAI_API_KEY"), + "DEFAULT_MODEL": os.getenv("DEFAULT_MODEL", "gpt-4o"), + } + return {**base_config, **openai_config} + else: + langgraph_config = { + "LANGGRAPH_HOST": os.getenv("LANGGRAPH_HOST", "localhost"), + "LANGGRAPH_PORT": os.getenv("LANGGRAPH_PORT", "8123"), + } + return {**base_config, **langgraph_config} +``` + +### 7. Frontend Compatibility + +Ensure the frontend works with both backends: + +```typescript +// In mcp-agent.tsx +const [framework, setFramework] = useState<'langgraph' | 'openai_agents' | 'hybrid'>('hybrid'); + +// Add framework selection to the UI +const changeFramework = async (newFramework: 'langgraph' | 'openai_agents' | 'hybrid') => { + try { + const backendUrl = (configsRef.current["mcp-agent"] as SSEConfig)?.url || "http://localhost:8123"; + await fetch(`${backendUrl}/config/mode`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ mode: newFramework }) + }); + setFramework(newFramework); + } catch (error) { + console.error("Failed to change framework:", error); + } +}; +``` + +## Implementation Plan + +### Phase 1: Foundation (Week 1) + +1. Create the unified state model +2. Implement basic adapters for agent and tool compatibility +3. Update the server to support framework selection +4. Add configuration management for both frameworks + +### Phase 2: Integration (Week 2) + +1. Enhance the agent factory to support both frameworks +2. Implement the full tool compatibility layer +3. Update the frontend to support framework selection +4. Create comprehensive tests for both frameworks + +### Phase 3: Optimization (Week 3) + +1. Optimize performance for both frameworks +2. Add advanced features like agent handoffs +3. Implement monitoring and logging for both frameworks +4. Create documentation and examples + +## Testing Strategy + +1. **Unit Tests**: Test each adapter and compatibility layer +2. **Integration Tests**: Test end-to-end workflows with both frameworks +3. **Performance Tests**: Compare performance between frameworks +4. **Compatibility Tests**: Ensure all existing features work with both frameworks + +## Conclusion + +This integration strategy allows us to leverage both LangGraph and OpenAI Agents SDK while maintaining all existing functionality. By using adapters and a unified configuration system, we can provide a seamless experience regardless of which framework is used under the hood. + +The approach gives us the flexibility to choose the most appropriate framework for each deployment scenario while working from a unified codebase. It also future-proofs our application by allowing us to adopt new features from either framework as they become available. diff --git a/fix-lint.js b/fix-lint.js new file mode 100644 index 0000000..c2a1675 --- /dev/null +++ b/fix-lint.js @@ -0,0 +1,14 @@ +const { execSync } = require('child_process'); +const path = require('path'); + +try { + console.log('Running ESLint fix on frontend...'); + execSync('cd frontend && npx eslint --fix "src/**/*.{ts,tsx}"', { + stdio: 'inherit', + cwd: path.resolve(__dirname) + }); + console.log('ESLint fix completed successfully!'); +} catch (error) { + console.error('Error running ESLint fix:', error.message); + process.exit(1); +} diff --git a/frontend/.vscode/settings.json b/frontend/.vscode/settings.json new file mode 100644 index 0000000..54f1258 --- /dev/null +++ b/frontend/.vscode/settings.json @@ -0,0 +1,14 @@ +{ + "editor.formatOnSave": true, + "editor.codeActionsOnSave": { + "source.fixAll.eslint": "explicit" + }, + "eslint.validate": [ + "javascript", + "javascriptreact", + "typescript", + "typescriptreact" + ], + "typescript.tsdk": "node_modules/typescript/lib", + "typescript.enablePromptUseWorkspaceTsdk": true +} diff --git a/frontend/README.md b/frontend/README.md index 212b170..90adea0 100644 --- a/frontend/README.md +++ b/frontend/README.md @@ -4,18 +4,20 @@ Open Multi-Agent Canvas is an open-source multi-agent chat interface that levera ## Key Features -- **Multi-Agent Chat Interface:** +- **Multi-Agent Chat Interface:** Chat with a range of specialized agents: - **Travel Agent:** Plan trips, create itineraries, and view travel recommendations on an interactive map powered by Leaflet. - **Research Agent:** Conduct research with real-time logs and progress updates. - -- **Real-Time Interactivity:** + - **MCP Agent:** A general-purpose agent capable of handling various tasks through configurable MCP servers. + - **Knowledge Agent:** A specialized agent for visualizing, querying, and managing knowledge graphs. + +- **Real-Time Interactivity:** Enjoy a live chat powered by `@copilotkit/react-ui` that orchestrates dynamic state changes and agent responses. -- **State Management & Agent Coordination:** +- **State Management & Agent Coordination:** Leverages `@copilotkit/react-core` for robust agent state management and smooth integration of travel and research functionalities. -- **Responsive & Modern UI:** +- **Responsive & Modern UI:** Designed with Tailwind CSS to ensure your experience is smooth and adaptive across all devices. ## Technology Stack @@ -28,58 +30,90 @@ Open Multi-Agent Canvas is an open-source multi-agent chat interface that levera ## Setup Instructions -1. **Prerequisites:** - - [Node.js](https://nodejs.org) (LTS version recommended) - - npm or yarn +1. **Prerequisites:** + - [Node.js](https://nodejs.org) (v18 or later) + - [pnpm](https://pnpm.io/installation) (recommended package manager) + - Backend server running (see main README.md for backend setup) -2. **Installation:** +2. **Installation:** ```bash - # Clone the repository - git clone - # Navigate to the frontend directory cd frontend - # Install dependencies - npm install - # or - yarn install + # Install dependencies with pnpm + pnpm install ``` -3. **Running the Development Server:** +3. **Environment Setup:** ```bash - npm run dev - # or - yarn dev + # Copy the example.env file to .env + cp example.env .env + + # Edit .env to add your Copilot Cloud API key and set the backend URL + # NEXT_PUBLIC_COPILOT_CLOUD_API_KEY=your_api_key_here + # NEXT_PUBLIC_BACKEND_URL=http://localhost:8124 + ``` + +4. **Running the Development Server:** + ```bash + pnpm run dev ``` Then, open [http://localhost:3000](http://localhost:3000) in your browser. +5. **Verifying Backend Connection:** + - The frontend will automatically check if the backend is running at startup + - You can verify the connection status in the MCP Agent interface + - If the backend is not running, you'll see a "Backend Disconnected" message + +## Backend Integration + +The frontend integrates with the backend through the following mechanisms: + +1. **Environment Configuration**: + - The `NEXT_PUBLIC_BACKEND_URL` environment variable specifies the backend URL (default: `http://localhost:8124`) + +2. **Health Check**: + - The MCP Agent component performs a health check to verify the backend is running + - It calls the `/health` endpoint on the backend server + +3. **Server-Sent Events (SSE)**: + - The frontend uses SSE to communicate with the backend in real-time + - This allows for streaming responses from the LLM through the backend + +4. **MCP Configuration**: + - The frontend allows configuring custom MCP servers through the MCP Servers panel + - These configurations are stored in localStorage and passed to the backend when making requests + ## Project Structure -- **/src/app:** +- **/src/app:** Contains Next.js page components, layouts, and global styles. -- **/src/components:** - Houses reusable components including agent interfaces (Travel, Research, Chat, Map, Sidebar) and UI elements. +- **/src/components:** + Houses reusable components including agent interfaces (Travel, Research, MCP, Knowledge, Chat, Map, Sidebar) and UI elements. -- **/providers:** +- **/src/providers:** Wraps the global state providers responsible for managing agent states. -- **/lib:** - Contains utility functions and configuration files (like available agents configuration). +- **/src/lib:** + Contains utility functions and configuration files (like available agents configuration and MCP server types). + +- **/src/hooks:** + Custom React hooks for state management and local storage. ## Value Proposition -Open Multi-Agent Canvas simplifies complex tasks by unifying multiple specialized agents in a single, interactive chat interface. Whether you're planning a trip with an interactive map, conducting in-depth research with real-time logs, this application streamlines your workflow and provides focused assistance tailored to each task—all within one platform. +Open Multi-Agent Canvas simplifies complex tasks by unifying multiple specialized agents in a single, interactive chat interface. Whether you're planning a trip with an interactive map, conducting in-depth research with real-time logs, connecting to MCP servers for specialized tasks, or visualizing knowledge graphs, this application streamlines your workflow and provides focused assistance tailored to each task—all within one platform. ## Deployment The easiest way to deploy this project is with [Vercel](https://vercel.com). Build and start your application with: ```bash -npm run build -npm run start +pnpm run build +pnpm run start ``` -Follow Vercel's deployment guide for more details if needed. + +Note that you'll need to deploy the backend separately and update the `NEXT_PUBLIC_BACKEND_URL` environment variable to point to your deployed backend. ## Contributing diff --git a/frontend/eslint.config.mjs b/frontend/eslint.config.mjs index c85fb67..49589eb 100644 --- a/frontend/eslint.config.mjs +++ b/frontend/eslint.config.mjs @@ -10,7 +10,118 @@ const compat = new FlatCompat({ }); const eslintConfig = [ + // Ignore patterns (replacing .eslintignore) + { + ignores: [ + // Build output + ".next/**", + "out/**", + "dist/**", + "build/**", + + // Node modules + "node_modules/**", + + // Cache + ".cache/**", + ".eslintcache", + + // Environment variables + ".env*", + "!.env.example", + + // Public assets + "public/**", + + // Generated files + "*.generated.*", + "next-env.d.ts", + + // Config files + "next.config.js", + "next.config.mjs", + "next.config.ts", + "postcss.config.js", + "postcss.config.mjs", + "tailwind.config.js", + "tailwind.config.ts" + ] + }, + + // Base configurations ...compat.extends("next/core-web-vitals", "next/typescript"), + + // TypeScript specific rules + { + files: ["**/*.ts", "**/*.tsx"], + rules: { + // Handle unused variables + "@typescript-eslint/no-unused-vars": ["error", { + "argsIgnorePattern": "^_", + "varsIgnorePattern": "^_", + "caughtErrorsIgnorePattern": "^_" + }], + "no-unused-vars": "off", // Turn off the base rule as it can report incorrect errors + + // Enforce consistent type imports + "@typescript-eslint/consistent-type-imports": ["warn", { + "prefer": "type-imports", + "disallowTypeAnnotations": false + }], + + // Prevent React import when using JSX with React 17+ + "react/react-in-jsx-scope": "off", + + // Enforce consistent React component definition + "react/function-component-definition": ["warn", { + "namedComponents": ["function-declaration", "arrow-function"], + "unnamedComponents": "arrow-function" + }], + + // Enforce proper prop types + "react/prop-types": "off", // TypeScript handles this + + // Enforce consistent imports + "import/order": ["warn", { + "groups": [ + "builtin", + "external", + "internal", + "parent", + "sibling", + "index" + ], + "pathGroups": [ + { + "pattern": "react", + "group": "builtin", + "position": "before" + }, + { + "pattern": "@/**", + "group": "internal", + "position": "after" + } + ], + "pathGroupsExcludedImportTypes": ["react"], + "newlines-between": "always", + "alphabetize": { + "order": "asc", + "caseInsensitive": true + } + }] + } + }, + + // React specific rules + { + files: ["**/*.tsx"], + rules: { + // Enforce hook rules + "react-hooks/rules-of-hooks": "error", + "react-hooks/exhaustive-deps": "warn" + } + } ]; export default eslintConfig; diff --git a/frontend/example.env b/frontend/example.env index e7137e3..ed69123 100644 --- a/frontend/example.env +++ b/frontend/example.env @@ -1,2 +1,7 @@ NEXT_PUBLIC_COPILOT_CLOUD_API_KEY= +NEXT_PUBLIC_BACKEND_URL=http://localhost:8123 + +# Supabase Configuration +NEXT_PUBLIC_SUPABASE_URL= +NEXT_PUBLIC_SUPABASE_ANON_KEY= diff --git a/frontend/lint-fix.js b/frontend/lint-fix.js new file mode 100644 index 0000000..062d779 --- /dev/null +++ b/frontend/lint-fix.js @@ -0,0 +1,15 @@ +const { execSync } = require('child_process'); +const path = require('path'); + +// Run ESLint on all TypeScript and TypeScript React files +try { + console.log('Running ESLint on all TypeScript files...'); + execSync('npx eslint --fix "src/**/*.{ts,tsx}"', { + stdio: 'inherit', + cwd: path.resolve(__dirname) + }); + console.log('ESLint completed successfully!'); +} catch (error) { + console.error('Error running ESLint:', error.message); + process.exit(1); +} diff --git a/frontend/next.config.ts b/frontend/next.config.ts index e9ffa30..7f9f2ee 100644 --- a/frontend/next.config.ts +++ b/frontend/next.config.ts @@ -1,7 +1,80 @@ +import {withSentryConfig} from '@sentry/nextjs'; import type { NextConfig } from "next"; const nextConfig: NextConfig = { - /* config options here */ + reactStrictMode: true, + // Prevent hydration issues with dynamic content + compiler: { + // Enables the styled-components SWC transform + styledComponents: true + }, + // Ensure consistent handling of CSS + transpilePackages: ['@copilotkit/react-ui', '@copilotkit/react-core'], + // Improve chunk loading reliability + output: 'standalone', + poweredByHeader: false, + // Optimize chunk size + webpack: (config, { isServer }) => { + // Optimize client-side chunk size + if (!isServer) { + config.optimization.splitChunks = { + chunks: 'all', + cacheGroups: { + default: false, + vendors: false, + // Vendor chunk for third-party libraries + vendor: { + name: 'vendor', + chunks: 'all', + test: /node_modules/, + priority: 20, + }, + // Common chunk for shared code + common: { + name: 'common', + minChunks: 2, + chunks: 'all', + priority: 10, + reuseExistingChunk: true, + enforce: true, + }, + }, + }; + } + return config; + }, + // Increase timeout for static generation + staticPageGenerationTimeout: 180, }; -export default nextConfig; +export default withSentryConfig(nextConfig, { +// For all available options, see: +// https://www.npmjs.com/package/@sentry/webpack-plugin#options + +org: "kb-konsult-partner-ab", +project: "kb-agent-canvas-frontend", + +// Only print logs for uploading source maps in CI +silent: !process.env.CI, + +// For all available options, see: +// https://docs.sentry.io/platforms/javascript/guides/nextjs/manual-setup/ + +// Upload a larger set of source maps for prettier stack traces (increases build time) +widenClientFileUpload: true, + +// Uncomment to route browser requests to Sentry through a Next.js rewrite to circumvent ad-blockers. +// This can increase your server load as well as your hosting bill. +// Note: Check that the configured route will not match with your Next.js middleware, otherwise reporting of client- +// side errors will fail. +// tunnelRoute: "/monitoring", + +// Automatically tree-shake Sentry logger statements to reduce bundle size +disableLogger: true, + +// Enables automatic instrumentation of Vercel Cron Monitors. (Does not yet work with App Router route handlers.) +// See the following for more information: +// https://docs.sentry.io/product/crons/ +// https://vercel.com/docs/cron-jobs +automaticVercelMonitors: true, +}); \ No newline at end of file diff --git a/frontend/package.json b/frontend/package.json index 6bc70ca..b251f50 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -6,7 +6,8 @@ "dev": "next dev", "build": "next build", "start": "next start", - "lint": "next lint" + "lint": "next lint", + "lint:fix": "node lint-fix.js" }, "dependencies": { "@copilotkit/react-core": "1.5.18", @@ -15,7 +16,9 @@ "@radix-ui/react-dialog": "^1.1.6", "@radix-ui/react-separator": "^1.1.2", "@radix-ui/react-slot": "^1.1.2", + "@radix-ui/react-tabs": "^1.1.9", "@radix-ui/react-tooltip": "^1.1.8", + "@sentry/nextjs": "^9.14.0", "@tanstack/react-query": "^5.66.0", "@tanstack/react-query-devtools": "^5.66.0", "@types/leaflet": "^1.9.16", @@ -24,9 +27,10 @@ "leaflet": "^1.9.4", "leaflet-defaulticon-compatibility": "^0.1.2", "lucide-react": "^0.474.0", - "next": "15.1.6", - "react": "^19.0.0", - "react-dom": "^19.0.0", + "next": "15.3.1", + "next-themes": "^0.4.6", + "react": "^19.1.0", + "react-dom": "^19.1.0", "react-leaflet": "^5.0.0", "react-markdown": "^9.0.3", "tailwind-merge": "^3.0.1", @@ -35,13 +39,20 @@ "devDependencies": { "@eslint/eslintrc": "^3", "@types/node": "^20", - "@types/react": "^19", - "@types/react-dom": "^19", + "@types/react": "^19.1.2", + "@types/react-dom": "^19.1.2", "cursor-tools": "latest", "eslint": "^9", - "eslint-config-next": "15.1.6", + "eslint-config-next": "15.3.1", + "eslint-plugin-react-hooks": "^5.2.0", "postcss": "^8", "tailwindcss": "^3.4.1", "typescript": "^5" + }, + "packageManager": "pnpm@10.9.0+sha512.0486e394640d3c1fb3c9d43d49cf92879ff74f8516959c235308f5a8f62e2e19528a65cdc2a3058f587cde71eba3d5b56327c8c33a97e4c4051ca48a10ca2d5f", + "pnpm": { + "onlyBuiltDependencies": [ + "@sentry/cli" + ] } } diff --git a/frontend/pnpm-lock.yaml b/frontend/pnpm-lock.yaml index eea5049..eba1ead 100644 --- a/frontend/pnpm-lock.yaml +++ b/frontend/pnpm-lock.yaml @@ -10,31 +10,37 @@ importers: dependencies: '@copilotkit/react-core': specifier: 1.5.18 - version: 1.5.18(@types/react@19.0.8)(graphql@16.10.0)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) + version: 1.5.18(@types/react@19.1.2)(graphql@16.10.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) '@copilotkit/react-ui': specifier: 1.5.18 - version: 1.5.18(@types/react@19.0.8)(graphql@16.10.0)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) + version: 1.5.18(@types/react@19.1.2)(graphql@16.10.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) '@radix-ui/react-checkbox': specifier: ^1.1.4 - version: 1.1.4(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) + version: 1.1.4(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) 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1.1.4(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-presence': 1.1.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-slot': 1.1.2(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-use-controllable-state': 1.1.0(@types/react@19.0.8)(react@19.0.0) + '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-context': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-dismissable-layer': 1.1.5(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-focus-guards': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-focus-scope': 1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-id': 1.1.0(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-portal': 1.1.4(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-presence': 1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-slot': 1.1.2(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-controllable-state': 1.1.0(@types/react@19.1.2)(react@19.1.0) aria-hidden: 1.2.4 - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) - react-remove-scroll: 2.6.3(@types/react@19.0.8)(react@19.0.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + react-remove-scroll: 2.6.3(@types/react@19.1.2)(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) - '@radix-ui/react-dismissable-layer@1.1.5(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@radix-ui/react-direction@1.1.1(@types/react@19.1.2)(react@19.1.0)': + dependencies: + react: 19.1.0 + optionalDependencies: + '@types/react': 19.1.2 + + '@radix-ui/react-dismissable-layer@1.1.5(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: '@radix-ui/primitive': 1.1.1 - '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-use-escape-keydown': 1.1.0(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-escape-keydown': 1.1.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) + + '@radix-ui/react-focus-guards@1.1.1(@types/react@19.1.2)(react@19.1.0)': + dependencies: + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 - '@radix-ui/react-focus-guards@1.1.1(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-focus-scope@1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: - react: 19.0.0 + '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) - '@radix-ui/react-focus-scope@1.1.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@radix-ui/react-id@1.1.0(@types/react@19.1.2)(react@19.1.0)': dependencies: - '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 - '@radix-ui/react-id@1.1.0(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-id@1.1.1(@types/react@19.1.2)(react@19.1.0)': dependencies: - '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 - - '@radix-ui/react-popper@1.2.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': - dependencies: - '@floating-ui/react-dom': 2.1.2(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-arrow': 1.1.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-context': 1.1.1(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-use-rect': 1.1.0(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-use-size': 1.1.0(@types/react@19.0.8)(react@19.0.0) + '@types/react': 19.1.2 + + '@radix-ui/react-popper@1.2.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@floating-ui/react-dom': 2.1.2(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-arrow': 1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-context': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-rect': 1.1.0(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-size': 1.1.0(@types/react@19.1.2)(react@19.1.0) '@radix-ui/rect': 1.1.0 - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) + + '@radix-ui/react-portal@1.1.4(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) + + '@radix-ui/react-presence@1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) + + '@radix-ui/react-presence@1.1.4(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) - '@radix-ui/react-portal@1.1.4(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@radix-ui/react-primitive@2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: - '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + '@radix-ui/react-slot': 1.1.2(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) - '@radix-ui/react-presence@1.1.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@radix-ui/react-primitive@2.1.0(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: - '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + '@radix-ui/react-slot': 1.2.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) + + '@radix-ui/react-roving-focus@1.1.7(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@radix-ui/primitive': 1.1.2 + '@radix-ui/react-collection': 1.1.4(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-direction': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-id': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-primitive': 2.1.0(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-use-callback-ref': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) - '@radix-ui/react-primitive@2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@radix-ui/react-separator@1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: - '@radix-ui/react-slot': 1.1.2(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) - '@radix-ui/react-separator@1.1.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@radix-ui/react-slot@1.1.2(@types/react@19.1.2)(react@19.1.0)': dependencies: - '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 - '@radix-ui/react-slot@1.1.2(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-slot@1.2.0(@types/react@19.1.2)(react@19.1.0)': dependencies: - '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + optionalDependencies: + '@types/react': 19.1.2 + + '@radix-ui/react-tabs@1.1.9(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@radix-ui/primitive': 1.1.2 + '@radix-ui/react-context': 1.1.2(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-direction': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-id': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-presence': 1.1.4(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-primitive': 2.1.0(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-roving-focus': 1.1.7(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) - '@radix-ui/react-tooltip@1.1.8(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@radix-ui/react-tooltip@1.1.8(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: '@radix-ui/primitive': 1.1.1 - '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-context': 1.1.1(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-dismissable-layer': 1.1.5(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-id': 1.1.0(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-popper': 1.2.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-portal': 1.1.4(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-presence': 1.1.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@radix-ui/react-slot': 1.1.2(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-use-controllable-state': 1.1.0(@types/react@19.0.8)(react@19.0.0) - '@radix-ui/react-visually-hidden': 1.1.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + '@radix-ui/react-compose-refs': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-context': 1.1.1(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-dismissable-layer': 1.1.5(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-id': 1.1.0(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-popper': 1.2.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-portal': 1.1.4(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-presence': 1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-slot': 1.1.2(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-controllable-state': 1.1.0(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-visually-hidden': 1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) + + '@radix-ui/react-use-callback-ref@1.1.0(@types/react@19.1.2)(react@19.1.0)': + dependencies: + react: 19.1.0 + optionalDependencies: + '@types/react': 19.1.2 + + '@radix-ui/react-use-callback-ref@1.1.1(@types/react@19.1.2)(react@19.1.0)': + dependencies: + react: 19.1.0 + optionalDependencies: + '@types/react': 19.1.2 + + '@radix-ui/react-use-controllable-state@1.1.0(@types/react@19.1.2)(react@19.1.0)': + dependencies: + '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 - '@radix-ui/react-use-callback-ref@1.1.0(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-use-controllable-state@1.2.2(@types/react@19.1.2)(react@19.1.0)': dependencies: - react: 19.0.0 + '@radix-ui/react-use-effect-event': 0.0.2(@types/react@19.1.2)(react@19.1.0) + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - '@radix-ui/react-use-controllable-state@1.1.0(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-use-effect-event@0.0.2(@types/react@19.1.2)(react@19.1.0)': dependencies: - '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - '@radix-ui/react-use-escape-keydown@1.1.0(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-use-escape-keydown@1.1.0(@types/react@19.1.2)(react@19.1.0)': dependencies: - '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 + '@radix-ui/react-use-callback-ref': 1.1.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - '@radix-ui/react-use-layout-effect@1.1.0(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-use-layout-effect@1.1.0(@types/react@19.1.2)(react@19.1.0)': dependencies: - react: 19.0.0 + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - '@radix-ui/react-use-previous@1.1.0(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-use-layout-effect@1.1.1(@types/react@19.1.2)(react@19.1.0)': dependencies: - react: 19.0.0 + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - '@radix-ui/react-use-rect@1.1.0(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-use-previous@1.1.0(@types/react@19.1.2)(react@19.1.0)': + dependencies: + react: 19.1.0 + optionalDependencies: + '@types/react': 19.1.2 + + '@radix-ui/react-use-rect@1.1.0(@types/react@19.1.2)(react@19.1.0)': dependencies: '@radix-ui/rect': 1.1.0 - react: 19.0.0 + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - '@radix-ui/react-use-size@1.1.0(@types/react@19.0.8)(react@19.0.0)': + '@radix-ui/react-use-size@1.1.0(@types/react@19.1.2)(react@19.1.0)': dependencies: - '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.0.8)(react@19.0.0) - react: 19.0.0 + '@radix-ui/react-use-layout-effect': 1.1.0(@types/react@19.1.2)(react@19.1.0) + react: 19.1.0 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - '@radix-ui/react-visually-hidden@1.1.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@radix-ui/react-visually-hidden@1.1.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: - '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.0.3(@types/react@19.0.8))(@types/react@19.0.8)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + '@radix-ui/react-primitive': 2.0.2(@types/react-dom@19.1.2(@types/react@19.1.2))(@types/react@19.1.2)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 - '@types/react-dom': 19.0.3(@types/react@19.0.8) + '@types/react': 19.1.2 + '@types/react-dom': 19.1.2(@types/react@19.1.2) '@radix-ui/rect@1.1.0': {} - '@react-aria/focus@3.19.1(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@react-aria/focus@3.19.1(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: - '@react-aria/interactions': 3.23.0(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@react-aria/utils': 3.27.0(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@react-types/shared': 3.27.0(react@19.0.0) + '@react-aria/interactions': 3.23.0(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@react-aria/utils': 3.27.0(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@react-types/shared': 3.27.0(react@19.1.0) '@swc/helpers': 0.5.15 clsx: 2.1.1 - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) - '@react-aria/interactions@3.23.0(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@react-aria/interactions@3.23.0(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: - '@react-aria/ssr': 3.9.7(react@19.0.0) - '@react-aria/utils': 3.27.0(react-dom@19.0.0(react@19.0.0))(react@19.0.0) - '@react-types/shared': 3.27.0(react@19.0.0) + '@react-aria/ssr': 3.9.7(react@19.1.0) + '@react-aria/utils': 3.27.0(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@react-types/shared': 3.27.0(react@19.1.0) '@swc/helpers': 0.5.15 - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) - '@react-aria/ssr@3.9.7(react@19.0.0)': + '@react-aria/ssr@3.9.7(react@19.1.0)': dependencies: '@swc/helpers': 0.5.15 - react: 19.0.0 + react: 19.1.0 - '@react-aria/utils@3.27.0(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@react-aria/utils@3.27.0(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: - '@react-aria/ssr': 3.9.7(react@19.0.0) - '@react-stately/utils': 3.10.5(react@19.0.0) - '@react-types/shared': 3.27.0(react@19.0.0) + '@react-aria/ssr': 3.9.7(react@19.1.0) + '@react-stately/utils': 3.10.5(react@19.1.0) + '@react-types/shared': 3.27.0(react@19.1.0) '@swc/helpers': 0.5.15 clsx: 2.1.1 - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) - '@react-leaflet/core@3.0.0(leaflet@1.9.4)(react-dom@19.0.0(react@19.0.0))(react@19.0.0)': + '@react-leaflet/core@3.0.0(leaflet@1.9.4)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: leaflet: 1.9.4 - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) - '@react-stately/utils@3.10.5(react@19.0.0)': + '@react-stately/utils@3.10.5(react@19.1.0)': dependencies: '@swc/helpers': 0.5.15 - react: 19.0.0 + react: 19.1.0 + + '@react-types/shared@3.27.0(react@19.1.0)': + dependencies: + react: 19.1.0 + + '@rollup/plugin-commonjs@28.0.1(rollup@4.35.0)': + dependencies: + '@rollup/pluginutils': 5.1.4(rollup@4.35.0) + commondir: 1.0.1 + estree-walker: 2.0.2 + fdir: 6.4.4(picomatch@4.0.2) + is-reference: 1.2.1 + magic-string: 0.30.17 + picomatch: 4.0.2 + optionalDependencies: + rollup: 4.35.0 - '@react-types/shared@3.27.0(react@19.0.0)': + '@rollup/pluginutils@5.1.4(rollup@4.35.0)': dependencies: - react: 19.0.0 + '@types/estree': 1.0.6 + estree-walker: 2.0.2 + picomatch: 4.0.2 + optionalDependencies: + rollup: 4.35.0 + + '@rollup/rollup-android-arm-eabi@4.35.0': + optional: true + + '@rollup/rollup-android-arm64@4.35.0': + optional: true + + '@rollup/rollup-darwin-arm64@4.35.0': + optional: true + + '@rollup/rollup-darwin-x64@4.35.0': + optional: true + + '@rollup/rollup-freebsd-arm64@4.35.0': + optional: true + + '@rollup/rollup-freebsd-x64@4.35.0': + optional: true + + '@rollup/rollup-linux-arm-gnueabihf@4.35.0': + optional: true + + '@rollup/rollup-linux-arm-musleabihf@4.35.0': + optional: true + + '@rollup/rollup-linux-arm64-gnu@4.35.0': + optional: true + + '@rollup/rollup-linux-arm64-musl@4.35.0': + optional: true + + '@rollup/rollup-linux-loongarch64-gnu@4.35.0': + optional: true + + '@rollup/rollup-linux-powerpc64le-gnu@4.35.0': + optional: true + + '@rollup/rollup-linux-riscv64-gnu@4.35.0': + optional: true + + '@rollup/rollup-linux-s390x-gnu@4.35.0': + optional: true + + '@rollup/rollup-linux-x64-gnu@4.35.0': + optional: true + + '@rollup/rollup-linux-x64-musl@4.35.0': + optional: true + + '@rollup/rollup-win32-arm64-msvc@4.35.0': + optional: true + + '@rollup/rollup-win32-ia32-msvc@4.35.0': + optional: true + + '@rollup/rollup-win32-x64-msvc@4.35.0': + optional: true '@rtsao/scc@1.1.0': {} @@ -4110,43 +5743,225 @@ snapshots: '@scarf/scarf@1.4.0': {} - '@secretlint/core@9.0.0': + '@secretlint/core@9.0.0': + dependencies: + 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-4966,6 +6955,11 @@ snapshots: string.prototype.matchall: 4.0.12 string.prototype.repeat: 1.0.0 + eslint-scope@5.1.1: + dependencies: + esrecurse: 4.3.0 + estraverse: 4.3.0 + eslint-scope@8.2.0: dependencies: esrecurse: 4.3.0 @@ -5030,14 +7024,20 @@ snapshots: dependencies: estraverse: 5.3.0 + estraverse@4.3.0: {} + estraverse@5.3.0: {} estree-util-is-identifier-name@3.0.0: {} + estree-walker@2.0.2: {} + esutils@2.0.3: {} event-target-shim@5.0.1: {} + events@3.3.0: {} + eventsource-client@1.1.3: dependencies: eventsource-parser: 3.0.0 @@ -5080,6 +7080,8 @@ snapshots: fast-levenshtein@2.0.6: {} + fast-uri@3.0.6: {} + fast-xml-parser@4.5.1: dependencies: strnum: 1.0.5 @@ -5092,6 +7094,10 @@ snapshots: dependencies: format: 0.2.2 + fdir@6.4.4(picomatch@4.0.2): + optionalDependencies: + picomatch: 4.0.2 + file-entry-cache@8.0.0: dependencies: flat-cache: 4.0.1 @@ -5136,6 +7142,10 @@ snapshots: node-domexception: 1.0.0 web-streams-polyfill: 4.0.0-beta.3 + forwarded-parse@2.1.2: {} + + fs.realpath@1.0.0: {} + fsevents@2.3.2: optional: true @@ -5155,6 +7165,8 @@ snapshots: functions-have-names@1.2.3: {} + gensync@1.0.0-beta.2: {} + get-east-asian-width@1.3.0: {} get-intrinsic@1.2.7: @@ -5197,6 +7209,8 @@ snapshots: dependencies: is-glob: 4.0.3 + glob-to-regexp@0.4.1: {} + glob@10.4.5: dependencies: foreground-child: 3.3.0 @@ -5206,6 +7220,15 @@ snapshots: package-json-from-dist: 1.0.1 path-scurry: 1.11.1 + glob@9.3.5: + dependencies: + fs.realpath: 1.0.0 + minimatch: 8.0.4 + minipass: 4.2.8 + path-scurry: 1.11.1 + + globals@11.12.0: {} + globals@14.0.0: {} globalthis@1.0.4: @@ -5301,8 +7324,19 @@ snapshots: highlightjs-vue@1.0.0: {} + hoist-non-react-statics@3.3.2: + dependencies: + react-is: 16.13.1 + html-url-attributes@3.0.1: {} + https-proxy-agent@5.0.1: + dependencies: + agent-base: 6.0.2 + debug: 4.4.0 + transitivePeerDependencies: + - supports-color + human-signals@5.0.0: {} humanize-ms@1.2.1: @@ -5322,6 +7356,13 @@ snapshots: parent-module: 1.0.1 resolve-from: 4.0.0 + import-in-the-middle@1.13.1: + dependencies: + acorn: 8.14.0 + acorn-import-attributes: 1.9.5(acorn@8.14.0) + cjs-module-lexer: 1.4.3 + module-details-from-path: 1.0.3 + imurmurhash@0.1.4: {} inline-style-parser@0.1.1: {} @@ -5449,6 +7490,10 @@ snapshots: is-plain-obj@4.1.0: {} + is-reference@1.2.1: + dependencies: + '@types/estree': 1.0.6 + is-regex@1.2.1: dependencies: call-bound: 1.0.3 @@ -5523,6 +7568,12 @@ snapshots: optionalDependencies: '@pkgjs/parseargs': 0.11.0 + jest-worker@27.5.1: + dependencies: + '@types/node': 20.17.17 + merge-stream: 2.0.0 + supports-color: 8.1.1 + jiti@1.21.7: {} jose@5.9.6: {} @@ -5535,16 +7586,24 @@ snapshots: jschardet@3.1.4: {} + jsesc@3.1.0: {} + json-buffer@3.0.1: {} + json-parse-even-better-errors@2.3.1: {} + json-schema-traverse@0.4.1: {} + json-schema-traverse@1.0.0: {} + json-stable-stringify-without-jsonify@1.0.1: {} json5@1.0.2: dependencies: minimist: 1.2.8 + json5@2.2.3: {} + jsx-ast-utils@3.3.5: dependencies: array-includes: 3.1.8 @@ -5581,6 +7640,8 @@ snapshots: lines-and-columns@1.2.4: {} + loader-runner@4.3.0: {} + locate-path@6.0.0: dependencies: p-locate: 5.0.0 @@ -5608,9 +7669,21 @@ snapshots: lru-cache@10.4.3: {} - lucide-react@0.474.0(react@19.0.0): + lru-cache@5.1.1: dependencies: - react: 19.0.0 + yallist: 3.1.1 + + lucide-react@0.474.0(react@19.1.0): + dependencies: + react: 19.1.0 + + magic-string@0.30.17: + dependencies: + '@jridgewell/sourcemap-codec': 1.5.0 + + magic-string@0.30.8: + dependencies: + '@jridgewell/sourcemap-codec': 1.5.0 markdown-table@3.0.4: {} @@ -6177,14 +8250,22 @@ snapshots: dependencies: brace-expansion: 1.1.11 + minimatch@8.0.4: + dependencies: + brace-expansion: 2.0.1 + minimatch@9.0.5: dependencies: brace-expansion: 2.0.1 minimist@1.2.8: {} + minipass@4.2.8: {} + minipass@7.1.2: {} + module-details-from-path@1.0.3: {} + mri@1.2.0: {} ms@2.1.3: {} @@ -6201,28 +8282,34 @@ snapshots: neo-async@2.6.2: {} - next@15.1.6(@playwright/test@1.50.1)(react-dom@19.0.0(react@19.0.0))(react@19.0.0): + next-themes@0.4.6(react-dom@19.1.0(react@19.1.0))(react@19.1.0): + dependencies: + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + + next@15.3.1(@babel/core@7.26.10)(@opentelemetry/api@1.9.0)(@playwright/test@1.50.1)(react-dom@19.1.0(react@19.1.0))(react@19.1.0): dependencies: - '@next/env': 15.1.6 + '@next/env': 15.3.1 '@swc/counter': 0.1.3 '@swc/helpers': 0.5.15 busboy: 1.6.0 caniuse-lite: 1.0.30001698 postcss: 8.4.31 - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) - styled-jsx: 5.1.6(react@19.0.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + styled-jsx: 5.1.6(@babel/core@7.26.10)(react@19.1.0) optionalDependencies: - '@next/swc-darwin-arm64': 15.1.6 - '@next/swc-darwin-x64': 15.1.6 - '@next/swc-linux-arm64-gnu': 15.1.6 - '@next/swc-linux-arm64-musl': 15.1.6 - '@next/swc-linux-x64-gnu': 15.1.6 - '@next/swc-linux-x64-musl': 15.1.6 - '@next/swc-win32-arm64-msvc': 15.1.6 - '@next/swc-win32-x64-msvc': 15.1.6 + '@next/swc-darwin-arm64': 15.3.1 + '@next/swc-darwin-x64': 15.3.1 + '@next/swc-linux-arm64-gnu': 15.3.1 + '@next/swc-linux-arm64-musl': 15.3.1 + '@next/swc-linux-x64-gnu': 15.3.1 + '@next/swc-linux-x64-musl': 15.3.1 + '@next/swc-win32-arm64-msvc': 15.3.1 + '@next/swc-win32-x64-msvc': 15.3.1 + '@opentelemetry/api': 1.9.0 '@playwright/test': 1.50.1 - sharp: 0.33.5 + sharp: 0.34.1 transitivePeerDependencies: - '@babel/core' - babel-plugin-macros @@ -6233,6 +8320,8 @@ snapshots: dependencies: whatwg-url: 5.0.0 + node-releases@2.0.19: {} + normalize-path@3.0.0: {} npm-run-path@5.3.0: @@ -6292,7 +8381,7 @@ snapshots: openai@4.83.0(ws@8.18.0)(zod@3.24.1): dependencies: - '@types/node': 18.19.75 + '@types/node': 18.19.86 '@types/node-fetch': 2.6.12 abort-controller: 3.0.0 agentkeepalive: 4.6.0 @@ -6368,10 +8457,24 @@ snapshots: path-type@5.0.0: {} + pg-int8@1.0.1: {} + + pg-protocol@1.9.5: {} + + pg-types@2.2.0: + dependencies: + pg-int8: 1.0.1 + postgres-array: 2.0.0 + postgres-bytea: 1.0.0 + postgres-date: 1.0.7 + postgres-interval: 1.2.0 + picocolors@1.1.1: {} picomatch@2.3.1: {} + picomatch@4.0.2: {} + pify@2.3.0: {} pirates@4.0.6: {} @@ -6433,12 +8536,24 @@ snapshots: picocolors: 1.1.1 source-map-js: 1.2.1 + postgres-array@2.0.0: {} + + postgres-bytea@1.0.0: {} + + postgres-date@1.0.7: {} + + postgres-interval@1.2.0: + dependencies: + xtend: 4.0.2 + prelude-ls@1.2.1: {} prismjs@1.27.0: {} prismjs@1.29.0: {} + progress@2.0.3: {} + prop-types@15.8.1: dependencies: loose-envify: 1.4.0 @@ -6451,37 +8566,43 @@ snapshots: property-information@6.5.0: {} + proxy-from-env@1.1.0: {} + punycode@2.3.1: {} queue-microtask@1.2.3: {} - react-dom@19.0.0(react@19.0.0): + randombytes@2.1.0: + dependencies: + safe-buffer: 5.2.1 + + react-dom@19.1.0(react@19.1.0): dependencies: - react: 19.0.0 - scheduler: 0.25.0 + react: 19.1.0 + scheduler: 0.26.0 react-is@16.13.1: {} react-is@18.3.1: {} - react-leaflet@5.0.0(leaflet@1.9.4)(react-dom@19.0.0(react@19.0.0))(react@19.0.0): + react-leaflet@5.0.0(leaflet@1.9.4)(react-dom@19.1.0(react@19.1.0))(react@19.1.0): dependencies: - '@react-leaflet/core': 3.0.0(leaflet@1.9.4)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) + '@react-leaflet/core': 3.0.0(leaflet@1.9.4)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) leaflet: 1.9.4 - react: 19.0.0 - react-dom: 19.0.0(react@19.0.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) - react-markdown@8.0.7(@types/react@19.0.8)(react@19.0.0): + react-markdown@8.0.7(@types/react@19.1.2)(react@19.1.0): dependencies: '@types/hast': 2.3.10 '@types/prop-types': 15.7.14 - '@types/react': 19.0.8 + '@types/react': 19.1.2 '@types/unist': 2.0.11 comma-separated-tokens: 2.0.3 hast-util-whitespace: 2.0.1 prop-types: 15.8.1 property-information: 6.5.0 - react: 19.0.0 + react: 19.1.0 react-is: 18.3.1 remark-parse: 10.0.2 remark-rehype: 10.1.0 @@ -6493,15 +8614,15 @@ snapshots: transitivePeerDependencies: - supports-color - react-markdown@9.0.3(@types/react@19.0.8)(react@19.0.0): + react-markdown@9.0.3(@types/react@19.1.2)(react@19.1.0): dependencies: '@types/hast': 3.0.4 - '@types/react': 19.0.8 + '@types/react': 19.1.2 devlop: 1.1.0 hast-util-to-jsx-runtime: 2.3.2 html-url-attributes: 3.0.1 mdast-util-to-hast: 13.2.0 - react: 19.0.0 + react: 19.1.0 remark-parse: 11.0.0 remark-rehype: 11.1.1 unified: 11.0.5 @@ -6510,44 +8631,44 @@ snapshots: transitivePeerDependencies: - supports-color - react-remove-scroll-bar@2.3.8(@types/react@19.0.8)(react@19.0.0): + react-remove-scroll-bar@2.3.8(@types/react@19.1.2)(react@19.1.0): dependencies: - react: 19.0.0 - react-style-singleton: 2.2.3(@types/react@19.0.8)(react@19.0.0) + react: 19.1.0 + react-style-singleton: 2.2.3(@types/react@19.1.2)(react@19.1.0) tslib: 2.8.1 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - react-remove-scroll@2.6.3(@types/react@19.0.8)(react@19.0.0): + react-remove-scroll@2.6.3(@types/react@19.1.2)(react@19.1.0): dependencies: - react: 19.0.0 - react-remove-scroll-bar: 2.3.8(@types/react@19.0.8)(react@19.0.0) - react-style-singleton: 2.2.3(@types/react@19.0.8)(react@19.0.0) + react: 19.1.0 + react-remove-scroll-bar: 2.3.8(@types/react@19.1.2)(react@19.1.0) + react-style-singleton: 2.2.3(@types/react@19.1.2)(react@19.1.0) tslib: 2.8.1 - use-callback-ref: 1.3.3(@types/react@19.0.8)(react@19.0.0) - use-sidecar: 1.1.3(@types/react@19.0.8)(react@19.0.0) + use-callback-ref: 1.3.3(@types/react@19.1.2)(react@19.1.0) + use-sidecar: 1.1.3(@types/react@19.1.2)(react@19.1.0) optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - react-style-singleton@2.2.3(@types/react@19.0.8)(react@19.0.0): + react-style-singleton@2.2.3(@types/react@19.1.2)(react@19.1.0): dependencies: get-nonce: 1.0.1 - react: 19.0.0 + react: 19.1.0 tslib: 2.8.1 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - react-syntax-highlighter@15.6.1(react@19.0.0): + react-syntax-highlighter@15.6.1(react@19.1.0): dependencies: '@babel/runtime': 7.26.7 highlight.js: 10.7.3 highlightjs-vue: 1.0.0 lowlight: 1.20.0 prismjs: 1.29.0 - react: 19.0.0 + react: 19.1.0 refractor: 3.6.0 - react@19.0.0: {} + react@19.1.0: {} read-cache@1.0.0: dependencies: @@ -6658,6 +8779,16 @@ snapshots: transitivePeerDependencies: - supports-color + require-from-string@2.0.2: {} + + require-in-the-middle@7.5.2: + dependencies: + debug: 4.4.0 + module-details-from-path: 1.0.3 + resolve: 1.22.10 + transitivePeerDependencies: + - supports-color + resolve-from@4.0.0: {} resolve-pkg-maps@1.0.0: {} @@ -6668,6 +8799,12 @@ snapshots: path-parse: 1.0.7 supports-preserve-symlinks-flag: 1.0.0 + resolve@1.22.8: + dependencies: + is-core-module: 2.16.1 + path-parse: 1.0.7 + supports-preserve-symlinks-flag: 1.0.0 + resolve@2.0.0-next.5: dependencies: is-core-module: 2.16.1 @@ -6681,6 +8818,31 @@ snapshots: reusify@1.0.4: {} + rollup@4.35.0: + dependencies: + '@types/estree': 1.0.6 + optionalDependencies: + '@rollup/rollup-android-arm-eabi': 4.35.0 + '@rollup/rollup-android-arm64': 4.35.0 + '@rollup/rollup-darwin-arm64': 4.35.0 + '@rollup/rollup-darwin-x64': 4.35.0 + '@rollup/rollup-freebsd-arm64': 4.35.0 + '@rollup/rollup-freebsd-x64': 4.35.0 + '@rollup/rollup-linux-arm-gnueabihf': 4.35.0 + '@rollup/rollup-linux-arm-musleabihf': 4.35.0 + '@rollup/rollup-linux-arm64-gnu': 4.35.0 + '@rollup/rollup-linux-arm64-musl': 4.35.0 + '@rollup/rollup-linux-loongarch64-gnu': 4.35.0 + '@rollup/rollup-linux-powerpc64le-gnu': 4.35.0 + '@rollup/rollup-linux-riscv64-gnu': 4.35.0 + '@rollup/rollup-linux-s390x-gnu': 4.35.0 + '@rollup/rollup-linux-x64-gnu': 4.35.0 + '@rollup/rollup-linux-x64-musl': 4.35.0 + '@rollup/rollup-win32-arm64-msvc': 4.35.0 + '@rollup/rollup-win32-ia32-msvc': 4.35.0 + '@rollup/rollup-win32-x64-msvc': 4.35.0 + fsevents: 2.3.3 + run-parallel@1.2.0: dependencies: queue-microtask: 1.2.3 @@ -6697,6 +8859,8 @@ snapshots: has-symbols: 1.1.0 isarray: 2.0.5 + safe-buffer@5.2.1: {} + safe-push-apply@1.0.0: dependencies: es-errors: 1.3.0 @@ -6710,12 +8874,23 @@ snapshots: safer-buffer@2.1.2: {} - scheduler@0.25.0: {} + scheduler@0.26.0: {} + + schema-utils@4.3.2: + dependencies: + '@types/json-schema': 7.0.15 + ajv: 8.17.1 + ajv-formats: 2.1.1(ajv@8.17.1) + ajv-keywords: 5.1.0(ajv@8.17.1) semver@6.3.1: {} semver@7.7.1: {} + serialize-javascript@6.0.2: + dependencies: + randombytes: 2.1.0 + set-function-length@1.2.2: dependencies: define-data-property: 1.1.4 @@ -6738,31 +8913,32 @@ snapshots: es-errors: 1.3.0 es-object-atoms: 1.1.1 - sharp@0.33.5: + sharp@0.34.1: dependencies: color: 4.2.3 detect-libc: 2.0.3 semver: 7.7.1 optionalDependencies: - '@img/sharp-darwin-arm64': 0.33.5 - '@img/sharp-darwin-x64': 0.33.5 - '@img/sharp-libvips-darwin-arm64': 1.0.4 - '@img/sharp-libvips-darwin-x64': 1.0.4 - '@img/sharp-libvips-linux-arm': 1.0.5 - '@img/sharp-libvips-linux-arm64': 1.0.4 - '@img/sharp-libvips-linux-s390x': 1.0.4 - '@img/sharp-libvips-linux-x64': 1.0.4 - '@img/sharp-libvips-linuxmusl-arm64': 1.0.4 - '@img/sharp-libvips-linuxmusl-x64': 1.0.4 - '@img/sharp-linux-arm': 0.33.5 - '@img/sharp-linux-arm64': 0.33.5 - '@img/sharp-linux-s390x': 0.33.5 - '@img/sharp-linux-x64': 0.33.5 - '@img/sharp-linuxmusl-arm64': 0.33.5 - '@img/sharp-linuxmusl-x64': 0.33.5 - '@img/sharp-wasm32': 0.33.5 - '@img/sharp-win32-ia32': 0.33.5 - '@img/sharp-win32-x64': 0.33.5 + '@img/sharp-darwin-arm64': 0.34.1 + '@img/sharp-darwin-x64': 0.34.1 + '@img/sharp-libvips-darwin-arm64': 1.1.0 + '@img/sharp-libvips-darwin-x64': 1.1.0 + '@img/sharp-libvips-linux-arm': 1.1.0 + '@img/sharp-libvips-linux-arm64': 1.1.0 + '@img/sharp-libvips-linux-ppc64': 1.1.0 + '@img/sharp-libvips-linux-s390x': 1.1.0 + '@img/sharp-libvips-linux-x64': 1.1.0 + '@img/sharp-libvips-linuxmusl-arm64': 1.1.0 + '@img/sharp-libvips-linuxmusl-x64': 1.1.0 + '@img/sharp-linux-arm': 0.34.1 + '@img/sharp-linux-arm64': 0.34.1 + '@img/sharp-linux-s390x': 0.34.1 + '@img/sharp-linux-x64': 0.34.1 + '@img/sharp-linuxmusl-arm64': 0.34.1 + '@img/sharp-linuxmusl-x64': 0.34.1 + '@img/sharp-wasm32': 0.34.1 + '@img/sharp-win32-ia32': 0.34.1 + '@img/sharp-win32-x64': 0.34.1 optional: true shebang-command@2.0.0: @@ -6771,6 +8947,8 @@ snapshots: shebang-regex@3.0.0: {} + shimmer@1.2.1: {} + side-channel-list@1.0.0: dependencies: es-errors: 1.3.0 @@ -6817,6 +8995,11 @@ snapshots: source-map-js@1.2.1: {} + source-map-support@0.5.21: + dependencies: + buffer-from: 1.1.2 + source-map: 0.6.1 + source-map@0.6.1: {} space-separated-tokens@1.1.5: {} @@ -6825,6 +9008,10 @@ snapshots: stable-hash@0.0.4: {} + stacktrace-parser@0.1.11: + dependencies: + type-fest: 0.7.1 + streamsearch@1.1.0: {} string-width@4.2.3: @@ -6932,10 +9119,12 @@ snapshots: dependencies: inline-style-parser: 0.2.4 - styled-jsx@5.1.6(react@19.0.0): + styled-jsx@5.1.6(@babel/core@7.26.10)(react@19.1.0): dependencies: client-only: 0.0.1 - react: 19.0.0 + react: 19.1.0 + optionalDependencies: + '@babel/core': 7.26.10 sucrase@3.35.0: dependencies: @@ -6951,6 +9140,10 @@ snapshots: dependencies: has-flag: 4.0.0 + supports-color@8.1.1: + dependencies: + has-flag: 4.0.0 + supports-preserve-symlinks-flag@1.0.0: {} system-architecture@0.1.0: {} @@ -6992,6 +9185,22 @@ snapshots: tapable@2.2.1: {} + terser-webpack-plugin@5.3.14(webpack@5.99.6): + dependencies: + '@jridgewell/trace-mapping': 0.3.25 + jest-worker: 27.5.1 + schema-utils: 4.3.2 + serialize-javascript: 6.0.2 + terser: 5.39.0 + webpack: 5.99.6 + + terser@5.39.0: + dependencies: + '@jridgewell/source-map': 0.3.6 + acorn: 8.14.0 + commander: 2.20.3 + source-map-support: 0.5.21 + textextensions@6.11.0: dependencies: editions: 6.21.0 @@ -7035,6 +9244,8 @@ snapshots: dependencies: prelude-ls: 1.2.1 + type-fest@0.7.1: {} + typed-array-buffer@1.0.3: dependencies: call-bound: 1.0.3 @@ -7154,37 +9365,52 @@ snapshots: unist-util-is: 6.0.0 unist-util-visit-parents: 6.0.1 + unplugin@1.0.1: + dependencies: + acorn: 8.14.0 + chokidar: 3.6.0 + webpack-sources: 3.2.3 + webpack-virtual-modules: 0.5.0 + untruncate-json@0.0.1: {} + update-browserslist-db@1.1.3(browserslist@4.24.4): + dependencies: + browserslist: 4.24.4 + escalade: 3.2.0 + picocolors: 1.1.1 + uri-js@4.4.1: dependencies: punycode: 2.3.1 - urql@4.2.1(@urql/core@5.1.0(graphql@16.10.0))(react@19.0.0): + urql@4.2.1(@urql/core@5.1.0(graphql@16.10.0))(react@19.1.0): dependencies: '@urql/core': 5.1.0(graphql@16.10.0) - react: 19.0.0 + react: 19.1.0 wonka: 6.3.4 - use-callback-ref@1.3.3(@types/react@19.0.8)(react@19.0.0): + use-callback-ref@1.3.3(@types/react@19.1.2)(react@19.1.0): dependencies: - react: 19.0.0 + react: 19.1.0 tslib: 2.8.1 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 - use-sidecar@1.1.3(@types/react@19.0.8)(react@19.0.0): + use-sidecar@1.1.3(@types/react@19.1.2)(react@19.1.0): dependencies: detect-node-es: 1.1.0 - react: 19.0.0 + react: 19.1.0 tslib: 2.8.1 optionalDependencies: - '@types/react': 19.0.8 + '@types/react': 19.1.2 util-deprecate@1.0.2: {} uuid@10.0.0: {} + uuid@9.0.1: {} + uvu@0.5.6: dependencies: dequal: 2.0.3 @@ -7216,10 +9442,49 @@ snapshots: '@types/unist': 3.0.3 vfile-message: 4.0.2 + watchpack@2.4.2: + dependencies: + glob-to-regexp: 0.4.1 + graceful-fs: 4.2.11 + web-streams-polyfill@4.0.0-beta.3: {} webidl-conversions@3.0.1: {} + webpack-sources@3.2.3: {} + + webpack-virtual-modules@0.5.0: {} + + webpack@5.99.6: + dependencies: + '@types/eslint-scope': 3.7.7 + '@types/estree': 1.0.6 + '@webassemblyjs/ast': 1.14.1 + '@webassemblyjs/wasm-edit': 1.14.1 + '@webassemblyjs/wasm-parser': 1.14.1 + acorn: 8.14.0 + browserslist: 4.24.4 + chrome-trace-event: 1.0.4 + enhanced-resolve: 5.18.1 + es-module-lexer: 1.7.0 + eslint-scope: 5.1.1 + events: 3.3.0 + glob-to-regexp: 0.4.1 + graceful-fs: 4.2.11 + json-parse-even-better-errors: 2.3.1 + loader-runner: 4.3.0 + mime-types: 2.1.35 + neo-async: 2.6.2 + schema-utils: 4.3.2 + tapable: 2.2.1 + terser-webpack-plugin: 5.3.14(webpack@5.99.6) + watchpack: 2.4.2 + webpack-sources: 3.2.3 + transitivePeerDependencies: + - '@swc/core' + - esbuild + - uglify-js + whatwg-url@5.0.0: dependencies: tr46: 0.0.3 @@ -7297,6 +9562,8 @@ snapshots: xtend@4.0.2: {} + yallist@3.1.1: {} + yaml@2.7.0: {} yocto-queue@0.1.0: {} diff --git a/frontend/public/favicon.ico b/frontend/public/favicon.ico new file mode 100644 index 0000000..62a45f2 --- /dev/null +++ b/frontend/public/favicon.ico @@ -0,0 +1,27 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/public/logo.svg b/frontend/public/logo.svg new file mode 100644 index 0000000..936440e --- /dev/null +++ b/frontend/public/logo.svg @@ -0,0 +1,27 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/public/map-marker.svg b/frontend/public/map-marker.svg new file mode 100644 index 0000000..d2c47aa --- /dev/null +++ b/frontend/public/map-marker.svg @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/frontend/public/map-overlay.svg b/frontend/public/map-overlay.svg new file mode 100644 index 0000000..d2267e4 --- /dev/null +++ b/frontend/public/map-overlay.svg @@ -0,0 +1,51 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/src/app/(canvas-pages)/knowledge/page.tsx b/frontend/src/app/(canvas-pages)/knowledge/page.tsx new file mode 100644 index 0000000..78c8cf1 --- /dev/null +++ b/frontend/src/app/(canvas-pages)/knowledge/page.tsx @@ -0,0 +1,33 @@ +"use client"; + +import { useEffect } from "react"; +import { useRouter } from "next/navigation"; + +import { useCoAgent } from "@copilotkit/react-core"; + +import { KnowledgeAgent } from "@/components/agents/knowledge-agent"; +import { AvailableAgents } from "@/lib/available-agents"; + +export default function KnowledgePage() { + const router = useRouter(); + + // Get agent state + const { running, start } = useCoAgent({ + name: AvailableAgents.KNOWLEDGE_AGENT, + }); + + // Start the agent if it's not already running + useEffect(() => { + if (!running) { + start(); + } + }, [running, start]); + + return ( +
+
+ +
+
+ ); +} diff --git a/frontend/src/app/(canvas-pages)/layout.tsx b/frontend/src/app/(canvas-pages)/layout.tsx index d1ed7a6..7f08760 100644 --- a/frontend/src/app/(canvas-pages)/layout.tsx +++ b/frontend/src/app/(canvas-pages)/layout.tsx @@ -1,7 +1,5 @@ +import { EnhancedLayout } from "@/components/enhanced-layout"; + export default function Layout({ children }: { children: React.ReactNode }) { - return ( -
-
{children}
-
- ); + return {children}; } diff --git a/frontend/src/app/(canvas-pages)/mcp/page.tsx b/frontend/src/app/(canvas-pages)/mcp/page.tsx new file mode 100644 index 0000000..5a20b59 --- /dev/null +++ b/frontend/src/app/(canvas-pages)/mcp/page.tsx @@ -0,0 +1,33 @@ +"use client"; + +import { useEffect } from "react"; +import { useRouter } from "next/navigation"; + +import { useCoAgent } from "@copilotkit/react-core"; + +import { MCPAgent } from "@/components/agents/mcp-agent"; +import { AvailableAgents } from "@/lib/available-agents"; + +export default function MCPPage() { + const router = useRouter(); + + // Get agent state + const { running, start } = useCoAgent({ + name: AvailableAgents.MCP_AGENT, + }); + + // Start the agent if it's not already running + useEffect(() => { + if (!running) { + start(); + } + }, [running, start]); + + return ( +
+
+ +
+
+ ); +} diff --git a/frontend/src/app/(canvas-pages)/research/page.tsx b/frontend/src/app/(canvas-pages)/research/page.tsx new file mode 100644 index 0000000..fe288c1 --- /dev/null +++ b/frontend/src/app/(canvas-pages)/research/page.tsx @@ -0,0 +1,33 @@ +"use client"; + +import { useEffect } from "react"; +import { useRouter } from "next/navigation"; + +import { useCoAgent } from "@copilotkit/react-core"; + +import { AIResearchAgent } from "@/components/agents/researcher"; +import { AvailableAgents } from "@/lib/available-agents"; + +export default function ResearchPage() { + const router = useRouter(); + + // Get agent state + const { running, start } = useCoAgent({ + name: AvailableAgents.RESEARCH_AGENT, + }); + + // Start the agent if it's not already running + useEffect(() => { + if (!running) { + start(); + } + }, [running, start]); + + return ( +
+
+ +
+
+ ); +} diff --git a/frontend/src/app/(canvas-pages)/teams/page.tsx b/frontend/src/app/(canvas-pages)/teams/page.tsx new file mode 100644 index 0000000..4c12550 --- /dev/null +++ b/frontend/src/app/(canvas-pages)/teams/page.tsx @@ -0,0 +1,71 @@ +'use client'; + +import React, { useState, useEffect } from 'react'; +import { TeamManager } from '@/components/team-manager'; +import { AgentConfig } from '@/components/agent-creation-form'; +import { useToast } from '@/components/ui/use-toast'; +import { Loader2 } from 'lucide-react'; +import { ApiClient } from '@/lib/api-client'; + +export default function TeamsPage() { + const [agents, setAgents] = useState([]); + const [loading, setLoading] = useState(true); + const { toast } = useToast(); + + useEffect(() => { + const fetchAgents = async () => { + try { + setLoading(true); + const apiClient = new ApiClient('http://localhost:8124'); + const response = await apiClient.fetchWithRetry('/agents'); + + if (Array.isArray(response)) { + setAgents(response.map(agent => ({ + id: agent.id || `agent-${Date.now()}`, + name: agent.name, + description: agent.description || '', + instructions: agent.instructions || '', + model: agent.model || 'gpt-4o', + framework: agent.framework || 'langgraph', + enableTracing: agent.enable_tracing || false, + enableVoice: agent.enable_voice || false, + enableParallel: agent.enable_parallel || false, + enableLiteLLM: agent.enable_litellm || false, + tools: agent.tools || [] + }))); + } else { + console.error('Invalid response format:', response); + toast({ + title: 'Error', + description: 'Failed to load agents. Invalid response format.', + variant: 'destructive' + }); + setAgents([]); + } + } catch (error) { + console.error('Error fetching agents:', error); + toast({ + title: 'Error', + description: 'Failed to load agents. Please try again.', + variant: 'destructive' + }); + setAgents([]); + } finally { + setLoading(false); + } + }; + + fetchAgents(); + }, [toast]); + + if (loading) { + return ( +
+ + Loading agents... +
+ ); + } + + return ; +} diff --git a/frontend/src/app/(canvas-pages)/travel/page.tsx b/frontend/src/app/(canvas-pages)/travel/page.tsx new file mode 100644 index 0000000..72d2309 --- /dev/null +++ b/frontend/src/app/(canvas-pages)/travel/page.tsx @@ -0,0 +1,33 @@ +"use client"; + +import { useEffect } from "react"; +import { useRouter } from "next/navigation"; + +import { useCoAgent } from "@copilotkit/react-core"; + +import { TravelAgent } from "@/components/agents/travel"; +import { AvailableAgents } from "@/lib/available-agents"; + +export default function TravelPage() { + const router = useRouter(); + + // Get agent state + const { running, start } = useCoAgent({ + name: AvailableAgents.TRAVEL_AGENT, + }); + + // Start the agent if it's not already running + useEffect(() => { + if (!running) { + start(); + } + }, [running, start]); + + return ( +
+
+ +
+
+ ); +} diff --git a/frontend/src/app/(canvas-pages)/workflows/page.tsx b/frontend/src/app/(canvas-pages)/workflows/page.tsx new file mode 100644 index 0000000..1874038 --- /dev/null +++ b/frontend/src/app/(canvas-pages)/workflows/page.tsx @@ -0,0 +1,21 @@ +'use client'; + +import React from 'react'; +import { WorkflowEditor } from '@/components/workflow-editor'; + +export default function WorkflowsPage() { + return ( +
+
+
+

Workflow Editor

+

+ Create and manage agent workflows +

+
+ + +
+
+ ); +} diff --git a/frontend/src/app/error.tsx b/frontend/src/app/error.tsx new file mode 100644 index 0000000..5a11b5e --- /dev/null +++ b/frontend/src/app/error.tsx @@ -0,0 +1,99 @@ +"use client"; + +import { useEffect } from "react"; +import { Button } from "@/components/ui/button"; +import { AlertCircle, RefreshCw, Home } from "lucide-react"; +import Link from "next/link"; + +export default function Error({ + error, + reset, +}: { + error: Error & { digest?: string }; + reset: () => void; +}) { + useEffect(() => { + // Log the error to the console + console.error("Application error:", error); + + // Check if it's a chunk load error + if ( + error.message?.includes("ChunkLoadError") || + error.message?.includes("Loading chunk") || + error.stack?.includes("webpack") + ) { + console.log("Detected chunk loading error in error boundary"); + + // Clear localStorage cache related to Next.js + Object.keys(localStorage).forEach((key) => { + if ( + key.startsWith("next-") || + key.includes("chunk") || + key.includes("webpack") + ) { + localStorage.removeItem(key); + } + }); + + // Report to Sentry if available + if (typeof window !== "undefined" && window.Sentry) { + window.Sentry.captureException(error); + } + } + }, [error]); + + const handleRetry = () => { + // Clear cache and reset the error boundary + if (typeof window !== "undefined") { + // Clear any cache that might be related to Next.js + Object.keys(localStorage).forEach((key) => { + if ( + key.startsWith("next-") || + key.includes("chunk") || + key.includes("webpack") + ) { + localStorage.removeItem(key); + } + }); + } + + // Reset the error boundary + reset(); + }; + + const isChunkError = + error.message?.includes("ChunkLoadError") || + error.message?.includes("Loading chunk") || + error.stack?.includes("webpack"); + + return ( +
+
+ +
+

Something went wrong

+

+ {isChunkError + ? "We encountered an error loading this page. This might be due to a network issue or a recent update." + : "An unexpected error occurred. Our team has been notified."} +

+
+ + + + +
+ {isChunkError && ( +

+ If the problem persists, try clearing your browser cache or restarting the application. +

+ )} +
+ ); +} diff --git a/frontend/src/app/globals.css b/frontend/src/app/globals.css index ccbbcbc..593fa4f 100644 --- a/frontend/src/app/globals.css +++ b/frontend/src/app/globals.css @@ -3,78 +3,108 @@ @tailwind utilities; body { - font-family: Arial, Helvetica, sans-serif; + font-family: 'Inter', sans-serif; } @layer base { :root { + /* Primary brand colors */ + --brand-primary: 220 70% 50%; /* Vibrant blue */ + --brand-secondary: 280 60% 60%; /* Purple */ + --brand-accent: 160 70% 45%; /* Teal */ + --brand-neutral: 220 15% 20%; /* Dark blue-gray */ + + /* UI colors */ --background: 0 0% 100%; - --foreground: 20 14.3% 4.1%; + --foreground: 220 15% 20%; --card: 0 0% 100%; - --card-foreground: 20 14.3% 4.1%; + --card-foreground: 220 15% 20%; --popover: 0 0% 100%; - --popover-foreground: 20 14.3% 4.1%; - --primary: 24 9.8% 10%; - --primary-foreground: 60 9.1% 97.8%; - --secondary: 60 4.8% 95.9%; - --secondary-foreground: 24 9.8% 10%; - --muted: 60 4.8% 95.9%; - --muted-foreground: 25 5.3% 44.7%; - --accent: 60 4.8% 95.9%; - --accent-foreground: 24 9.8% 10%; - --destructive: 0 84.2% 60.2%; - --destructive-foreground: 60 9.1% 97.8%; - --border: 20 5.9% 90%; - --input: 20 5.9% 90%; - --ring: 20 14.3% 4.1%; - --chart-1: 12 76% 61%; - --chart-2: 173 58% 39%; - --chart-3: 197 37% 24%; - --chart-4: 43 74% 66%; - --chart-5: 27 87% 67%; + --popover-foreground: 220 15% 20%; + --primary: 220 70% 50%; + --primary-foreground: 0 0% 100%; + --secondary: 280 60% 60%; + --secondary-foreground: 0 0% 100%; + --muted: 220 15% 95%; + --muted-foreground: 220 15% 40%; + --accent: 160 70% 45%; + --accent-foreground: 0 0% 100%; + --destructive: 0 70% 50%; + --destructive-foreground: 0 0% 100%; + --border: 220 15% 90%; + --input: 220 15% 90%; + --ring: 220 70% 50%; + --chart-1: 220 70% 50%; + --chart-2: 160 70% 45%; + --chart-3: 280 60% 60%; + --chart-4: 340 70% 50%; + --chart-5: 40 80% 55%; --radius: 0.5rem; - --sidebar-background: 0 0% 98%; - --sidebar-foreground: 240 5.3% 26.1%; - --sidebar-primary: 240 5.9% 10%; - --sidebar-primary-foreground: 0 0% 98%; - --sidebar-accent: 240 4.8% 95.9%; - --sidebar-accent-foreground: 240 5.9% 10%; - --sidebar-border: 220 13% 91%; - --sidebar-ring: 217.2 91.2% 59.8%; + + /* Sidebar specific colors */ + --sidebar-background: 220 15% 20%; + --sidebar-foreground: 0 0% 100%; + --sidebar-primary: 220 70% 50%; + --sidebar-primary-foreground: 0 0% 100%; + --sidebar-accent: 160 70% 45%; + --sidebar-accent-foreground: 0 0% 100%; + --sidebar-border: 220 15% 30%; + --sidebar-ring: 220 70% 50%; + + /* Agent specific colors */ + --agent-travel: 200 70% 50%; + --agent-research: 280 60% 60%; + --agent-mcp: 340 70% 50%; + --agent-knowledge: 160 70% 45%; + + /* Animation durations */ + --animation-fast: 150ms; + --animation-normal: 250ms; + --animation-slow: 350ms; + + /* Shadows */ + --shadow-sm: 0 1px 2px rgba(0, 0, 0, 0.05); + --shadow-md: 0 4px 6px rgba(0, 0, 0, 0.1); + --shadow-lg: 0 10px 15px rgba(0, 0, 0, 0.1); + --shadow-xl: 0 20px 25px rgba(0, 0, 0, 0.15); } + .dark { - --background: 20 14.3% 4.1%; - --foreground: 60 9.1% 97.8%; - --card: 20 14.3% 4.1%; - --card-foreground: 60 9.1% 97.8%; - --popover: 20 14.3% 4.1%; - --popover-foreground: 60 9.1% 97.8%; - --primary: 60 9.1% 97.8%; - --primary-foreground: 24 9.8% 10%; - --secondary: 12 6.5% 15.1%; - --secondary-foreground: 60 9.1% 97.8%; - --muted: 12 6.5% 15.1%; - --muted-foreground: 24 5.4% 63.9%; - --accent: 12 6.5% 15.1%; - --accent-foreground: 60 9.1% 97.8%; - --destructive: 0 62.8% 30.6%; - --destructive-foreground: 60 9.1% 97.8%; - --border: 12 6.5% 15.1%; - --input: 12 6.5% 15.1%; - --ring: 24 5.7% 82.9%; + /* UI colors for dark mode */ + --background: 220 15% 10%; + --foreground: 0 0% 95%; + --card: 220 15% 15%; + --card-foreground: 0 0% 95%; + --popover: 220 15% 15%; + --popover-foreground: 0 0% 95%; + --primary: 220 70% 50%; + --primary-foreground: 0 0% 100%; + --secondary: 280 60% 60%; + --secondary-foreground: 0 0% 100%; + --muted: 220 15% 20%; + --muted-foreground: 220 15% 70%; + --accent: 160 70% 45%; + --accent-foreground: 0 0% 100%; + --destructive: 0 70% 50%; + --destructive-foreground: 0 0% 100%; + --border: 220 15% 25%; + --input: 220 15% 25%; + --ring: 220 70% 50%; --chart-1: 220 70% 50%; - --chart-2: 160 60% 45%; - --chart-3: 30 80% 55%; - --chart-4: 280 65% 60%; - --chart-5: 340 75% 55%; - --sidebar-background: 240 5.9% 10%; - --sidebar-foreground: 240 4.8% 95.9%; - --sidebar-primary: 224.3 76.3% 48%; + --chart-2: 160 70% 45%; + --chart-3: 280 60% 60%; + --chart-4: 340 70% 50%; + --chart-5: 40 80% 55%; + + /* Sidebar specific colors for dark mode */ + --sidebar-background: 220 15% 15%; + --sidebar-foreground: 0 0% 95%; + --sidebar-primary: 220 70% 50%; --sidebar-primary-foreground: 0 0% 100%; - --sidebar-accent: 240 3.7% 15.9%; - --sidebar-accent-foreground: 240 4.8% 95.9%; - --sidebar-border: 240 3.7% 15.9%; - --sidebar-ring: 217.2 91.2% 59.8%; + --sidebar-accent: 160 70% 45%; + --sidebar-accent-foreground: 0 0% 100%; + --sidebar-border: 220 15% 25%; + --sidebar-ring: 220 70% 50%; } } @@ -86,3 +116,174 @@ body { @apply bg-background text-foreground; } } + +/* Animation keyframes */ +@keyframes fadeIn { + from { opacity: 0; } + to { opacity: 1; } +} + +@keyframes fadeInUp { + from { opacity: 0; transform: translateY(10px); } + to { opacity: 1; transform: translateY(0); } +} + +@keyframes fadeInDown { + from { opacity: 0; transform: translateY(-10px); } + to { opacity: 1; transform: translateY(0); } +} + +@keyframes slideInLeft { + from { transform: translateX(-20px); opacity: 0; } + to { transform: translateX(0); opacity: 1; } +} + +@keyframes slideInRight { + from { transform: translateX(20px); opacity: 0; } + to { transform: translateX(0); opacity: 1; } +} + +@keyframes pulse { + 0% { opacity: 0.6; } + 50% { opacity: 1; } + 100% { opacity: 0.6; } +} + +@keyframes float { + 0% { transform: translateY(0px); } + 50% { transform: translateY(-5px); } + 100% { transform: translateY(0px); } +} + +@keyframes glow { + 0% { box-shadow: 0 0 5px rgba(var(--primary), 0.5); } + 50% { box-shadow: 0 0 20px rgba(var(--primary), 0.8); } + 100% { box-shadow: 0 0 5px rgba(var(--primary), 0.5); } +} + +@keyframes shimmer { + 0% { background-position: -1000px 0; } + 100% { background-position: 1000px 0; } +} + +@keyframes progress { + 0% { transform: translateX(-100%); } + 50% { transform: translateX(100%); } + 100% { transform: translateX(100%); } +} + +@keyframes spin { + from { transform: rotate(0deg); } + to { transform: rotate(360deg); } +} + +@keyframes bounce { + 0%, 100% { transform: translateY(0); } + 50% { transform: translateY(-10px); } +} + +/* Utility animation classes */ +.animate-fade-in { + animation: fadeIn var(--animation-normal) ease-in-out; +} + +.animate-fade-in-up { + animation: fadeInUp var(--animation-normal) ease-in-out; +} + +.animate-fade-in-down { + animation: fadeInDown var(--animation-normal) ease-in-out; +} + +.animate-slide-in-left { + animation: slideInLeft var(--animation-normal) ease-in-out; +} + +.animate-slide-in-right { + animation: slideInRight var(--animation-normal) ease-in-out; +} + +.animate-pulse-subtle { + animation: pulse 2s infinite ease-in-out; +} + +.animate-float { + animation: float 3s infinite ease-in-out; +} + +.animate-glow { + animation: glow 2s infinite ease-in-out; +} + +.animate-shimmer { + background: linear-gradient(90deg, transparent, rgba(255,255,255,0.2), transparent); + background-size: 1000px 100%; + animation: shimmer 2s infinite linear; +} + +.animate-spin-slow { + animation: spin 3s linear infinite; +} + +.animate-bounce-subtle { + animation: bounce 2s infinite ease-in-out; +} + +.animate-progress { + animation: progress 2s infinite ease-in-out; +} + +/* Transition utilities */ +.transition-all-fast { + transition: all var(--animation-fast) ease-in-out; +} + +.transition-all-normal { + transition: all var(--animation-normal) ease-in-out; +} + +.transition-all-slow { + transition: all var(--animation-slow) ease-in-out; +} + +.transition-transform-fast { + transition: transform var(--animation-fast) ease-in-out; +} + +.transition-transform-normal { + transition: transform var(--animation-normal) ease-in-out; +} + +.transition-opacity-fast { + transition: opacity var(--animation-fast) ease-in-out; +} + +.transition-opacity-normal { + transition: opacity var(--animation-normal) ease-in-out; +} + +/* Hover effect utilities */ +.hover-scale { + transition: transform var(--animation-fast) ease-in-out; +} + +.hover-scale:hover { + transform: scale(1.05); +} + +.hover-lift { + transition: transform var(--animation-fast) ease-in-out, box-shadow var(--animation-fast) ease-in-out; +} + +.hover-lift:hover { + transform: translateY(-3px); + box-shadow: var(--shadow-md); +} + +.hover-glow { + transition: box-shadow var(--animation-normal) ease-in-out; +} + +.hover-glow:hover { + box-shadow: 0 0 15px rgba(var(--primary), 0.5); +} diff --git a/frontend/src/app/layout.tsx b/frontend/src/app/layout.tsx index 366c98d..12c16c9 100644 --- a/frontend/src/app/layout.tsx +++ b/frontend/src/app/layout.tsx @@ -1,7 +1,10 @@ import type { Metadata } from "next"; import { Inter, JetBrains_Mono } from "next/font/google"; + import "./globals.css"; import Providers from "@/providers/Providers"; +import { ClientErrorBoundary } from "@/components/client-error-boundary"; +import { Toaster } from "@/components/ui/toaster"; const inter = Inter({ variable: "--font-inter", @@ -14,8 +17,12 @@ const jetbrainsMono = JetBrains_Mono({ }); export const metadata: Metadata = { - title: "Open Multi-Agent Canvas", - description: "Open Multi-Agent Canvas by CopilotKit", + title: "Multi-Agent Canvas", + description: "A powerful multi-agent chat interface for specialized AI assistants", + icons: { + icon: "/favicon.ico", + apple: "/logo.svg", + }, }; export default function RootLayout({ @@ -24,11 +31,47 @@ export default function RootLayout({ children: React.ReactNode; }>) { return ( - + - {children} + + {children} + + + + {/* Add script to handle chunk loading errors */} +