diff --git a/.claude/commands/archon/archon-alpha-review.md b/.claude/commands/archon/archon-alpha-review.md new file mode 100644 index 00000000..b688bb43 --- /dev/null +++ b/.claude/commands/archon/archon-alpha-review.md @@ -0,0 +1,235 @@ +--- +description: Perform comprehensive code review for Archon V2 Alpha, this command will save a report to `code-review.md`. +argument-hint: +allowed-tools: Bash(*), Read, Grep, LS, Write +thinking: auto +--- + +# Code Review for Archon V2 Alpha + +**Review scope**: $ARGUMENTS + +I'll perform a comprehensive code review and generate a report saved to the root of this directory as `code-review[n].md`. check if other reviews exist before you create the file and increment n as needed. + +## Context + +You're reviewing code for Archon V2 Alpha, which uses: + +- **Frontend**: React + TypeScript + Vite + TailwindCSS +- **Backend**: Python 3.12+ with FastAPI, PydanticAI, Supabase +- **Testing**: Vitest for frontend, pytest for backend +- **Code Quality**: ruff, mypy, ESLint + +## What to Review + +Determine what needs reviewing: + +- If no arguments: Review staged changes (`git diff --staged`) +- If PR number: Review pull request (`gh pr view`) +- If branch name: Compare with main (`git diff main...branch`) +- If file path: Review specific files +- If directory: Review all changes in that area + +## Review Focus + +### CRITICAL: Alpha Error Handling Philosophy + +**Following CLAUDE.md principles - We want DETAILED ERRORS, not graceful failures!** + +#### Where Errors MUST Bubble Up (Fail Fast & Loud): + +- **Service initialization** - If credentials, database, or MCP fails to start, CRASH +- **Configuration errors** - Missing env vars, invalid settings should STOP the system +- **Database connection failures** - Don't hide connection issues, expose them +- **Authentication failures** - Security errors must be visible +- **Data corruption** - Never silently accept bad data +- **Type validation errors** - Pydantic should raise, not coerce + +#### Where to Complete but Log Clearly: + +- **Background tasks** (crawling, embeddings) - Complete the job, log failures per item +- **Batch operations** - Process what you can, report what failed with details +- **WebSocket events** - Don't crash on single event failure, log and continue +- **Optional features** - If projects/tasks disabled, log and skip +- **External API calls** - Retry with exponential backoff, then fail with clear message + +### Python Code Quality + +Look for: + +- **Type hints** on all functions and proper use of Python 3.12+ features +- **Pydantic v2 patterns** (ConfigDict, model_dump, field_validator) +- **Error handling following alpha principles**: + + ```python + # BAD - Silent failure + try: + result = risky_operation() + except Exception: + return None + + # GOOD - Detailed error with context + try: + result = risky_operation() + except SpecificError as e: + logger.error(f"Operation failed at step X: {e}", exc_info=True) + raise # Let it bubble up! + ``` + +- **No print statements** - should use logging instead +- **Detailed error messages** with context about what was being attempted +- **Stack traces preserved** with `exc_info=True` in logging +- **Async/await** used correctly with proper exception propagation + +### TypeScript/React Quality + +Look for: + +- **TypeScript types** properly defined, avoid `any` +- **React error boundaries** for component failures +- **API error handling** that shows actual error messages: + + ```typescript + // BAD - Generic error + catch (error) { + setError("Something went wrong"); + } + + // GOOD - Specific error with details + catch (error) { + console.error("API call failed:", error); + setError(`Failed to load data: ${error.message}`); + } + ``` + +- **Component structure** following existing patterns +- **Console.error** for debugging, not hidden errors + +### Security Considerations + +Check for: + +- Input validation that FAILS LOUDLY on bad input +- SQL injection vulnerabilities +- No hardcoded secrets or API keys +- Authentication that clearly reports why it failed +- CORS configuration with explicit error messages + +### Architecture & Patterns + +Ensure: + +- Services fail fast on initialization errors +- Routes return detailed error responses with status codes +- Database operations include transaction details in errors +- Socket.IO disconnections are logged with reasons +- Service dependencies checked at startup, not runtime + +### Testing + +Verify: + +- Tests check for specific error messages, not just "throws" +- Error paths are tested with expected error details +- No catch-all exception handlers hiding issues +- Mock failures test error propagation + +## Review Process + +1. **Understand the changes** - What problem is being solved? +2. **Check functionality** - Does it do what it's supposed to? +3. **Review code quality** - Is it maintainable and follows standards? +4. **Consider performance** - Any N+1 queries or inefficient algorithms? +5. **Verify tests** - Are changes properly tested? +6. **Check documentation** - Are complex parts documented? + +## Key Areas to Check + +**Backend Python files:** + +- `python/src/server/` - Service layer patterns +- `python/src/mcp/` - MCP tool definitions +- `python/src/agents/` - AI agent implementations + +**Frontend TypeScript files:** + +- `archon-ui-main/src/components/` - React components +- `archon-ui-main/src/services/` - API integration +- `archon-ui-main/src/hooks/` - Custom hooks + +**Configuration:** + +- `docker-compose.yml` - Service configuration +- `.env` changes - Security implications +- `package.json` / `pyproject.toml` - Dependency changes + +## Report Format + +Generate a `code-review.md` with: + +```markdown +# Code Review + +**Date**: [Today's date] +**Scope**: [What was reviewed] +**Overall Assessment**: [Pass/Needs Work/Critical Issues] + +## Summary + +[Brief overview of changes and general quality] + +## Issues Found + +### 🔴 Critical (Must Fix) + +- [Issue description with file:line reference and suggested fix] + +### 🟡 Important (Should Fix) + +- [Issue description with file:line reference] + +### 🟢 Suggestions (Consider) + +- [Minor improvements or style issues] + +## What Works Well + +- [Positive aspects of the code] + +## Security Review + +[Any security concerns or confirmations] + +## Performance Considerations + +[Any performance impacts] + +## Test Coverage + +- Current coverage: [if available] +- Missing tests for: [list areas] + +## Recommendations + +[Specific actionable next steps] +``` + +## Helpful Commands + +```bash +# Check what changed +git diff --staged +git diff main...HEAD +gh pr view $PR_NUMBER --json files + +# Run quality checks +cd python && ruff check --fix +cd python && mypy src/ +cd archon-ui-main && npm run lint + +# Run tests +cd python && uv run pytest +cd archon-ui-main && npm test +``` + +Remember: Focus on impact and maintainability. Good code review helps the team ship better code, not just find problems. Be constructive and specific with feedback. diff --git a/.claude/commands/archon/archon-onboarding.md b/.claude/commands/archon/archon-onboarding.md new file mode 100644 index 00000000..f008c846 --- /dev/null +++ b/.claude/commands/archon/archon-onboarding.md @@ -0,0 +1,153 @@ +--- +name: archon-onboarding +description: | + Onboard new developers to the Archon codebase with a comprehensive overview and first contribution guidance. + + Usage: /archon-onboarding +argument-hint: none +--- + +You are helping a new developer get up and running with the Archon V2 Alpha project! Your goal is to provide them with a personalized onboarding experience. + +## What is Archon? + +Archon is a centralized knowledge base for AI coding assistants. It enables Claude Code, Cursor, Windsurf, and other AI tools to access your documentation, perform smart searches, and manage tasks - all through a unified interface. + +Its powered by a **Model Context Protocol (MCP) server** + +And you can crawl and store knowledge that you can use multiple rag strategies to improve your AI coders performance. + +## Quick Architecture Overview + +This is a **true microservices architecture** with 4 independent services: + +1. **Frontend** (port 3737) - React UI for managing knowledge and projects +2. **Server** (port 8181) - Core API handling all business logic +3. **MCP Server** (port 8051) - Lightweight MCP protocol interface +4. **Agents** (port 8052) - AI operations with PydanticAI + +All services communicate via HTTP only - no shared code, true separation of concerns. + +## Getting Started - Your First 30 Minutes + +### Prerequisites Check + +You'll need: + +- Docker Desktop (running) +- Supabase account (free tier works) +- OpenAI API key (or Gemini/Ollama) +- Git and basic command line knowledge + +### Setup + +First, read the README.md file to understand the setup process, then guide the user through these steps: + +1. Clone the repository and set up environment variables +2. Configure Supabase database with migration scripts +3. Start Docker services +4. Configure API keys in the UI +5. Verify everything is working by testing a simple crawl + +## Understanding the Codebase + +### Decision Time + +Ask the user to choose their focus area. Present these options clearly and wait for their response: + +"Which area of the Archon codebase would you like to explore first?" + +1. **Frontend (React/TypeScript)** - If you enjoy UI/UX work +2. **Backend API (Python/FastAPI)** - If you like building robust APIs +3. **MCP Tools (Python)** - If you're interested in AI tool protocols +4. **RAG/Search (Python)** - If you enjoy search and ML engineering +5. **Web Crawling (Python)** - If you like data extraction challenges + +### Your Onboarding Analysis + +Based on the user's choice, perform a deep analysis of that area following the instructions below for their specific choice. Then provide them with a structured report. + +## Report Structure + +Your report to the user should include: + +1. **Area Overview**: Architecture explanation and how it connects to other services +2. **Key Files Walkthrough**: Purpose of main files and their relationships +3. **Suggested First Contribution**: A specific, small improvement with exact location +4. **Implementation Guide**: Step-by-step instructions to make the change +5. **Testing Instructions**: How to verify their change works correctly + +**If the user chose Frontend:** + +- Start with `archon-ui-main/src/pages/KnowledgeBasePage.tsx` +- Look at how it uses `services/knowledgeBaseService.ts` +- Take a deep dive into the frontend architecture and UI components +- Identify a potential issue that the user can easily fix and suggest a solution +- Give the user a overview of the frontend and architecture following the report format above + +**If the user chose Backend API:** + +- Start with `python/src/server/api_routes/knowledge_api.py` +- See how it calls `services/knowledge/knowledge_item_service.py` +- Take a deep dive into the FastAPI service architecture and patterns +- Identify a potential API improvement that the user can implement +- Give the user an overview of the backend architecture and suggest a contribution + +**If the user chose MCP Tools:** + +- Start with `python/src/mcp/mcp_server.py` +- Look at `modules/rag_module.py` for tool patterns +- Take a deep dive into the MCP protocol implementation and available tools +- Identify a missing tool or enhancement that would be valuable +- Give the user an overview of the MCP architecture and how to add new tools + +**If the user chose RAG/Search:** + +- Start with `python/src/server/services/search/vector_search_service.py` +- Understand the hybrid search approach +- Take a deep dive into the RAG pipeline and search strategies +- Identify a search improvement or ranking enhancement opportunity +- Give the user an overview of the RAG system and suggest optimizations + +**If the user chose Web Crawling:** + +- Start with `python/src/server/services/rag/crawling_service.py` +- Look at sitemap detection and parsing logic +- Take a deep dive into the crawling architecture and content extraction +- Identify a crawling enhancement or new content type support to add +- Give the user an overview of the crawling system and parsing strategies + +## How to Find Contribution Opportunities + +When analyzing the user's chosen area, look for: + +- TODO or FIXME comments in the code +- Missing error handling or validation +- UI components that could be more user-friendly +- API endpoints missing useful filters or data +- Areas with minimal or no test coverage +- Hardcoded values that should be configurable + +## What to Include in Your Report + +After analyzing their chosen area, provide the user with: + +1. Key development patterns they should know: + - Alpha mindset (break things to improve them) + - Error philosophy (fail fast with detailed errors) + - Service boundaries (no cross-service imports) + - Real-time updates via Socket.IO + - Testing approach for their chosen area + +2. Specific contribution suggestion with: + - Exact file and line numbers to modify + - Current behavior vs improved behavior + - Step-by-step implementation guide + - Testing instructions + +3. Common gotchas for their area: + - Service-specific pitfalls + - Testing requirements + - Local vs Docker differences + +Remember to encourage the user to start small and iterate. This is alpha software designed for rapid experimentation. diff --git a/.claude/commands/archon/archon-prime-simple.md b/.claude/commands/archon/archon-prime-simple.md new file mode 100644 index 00000000..b8490034 --- /dev/null +++ b/.claude/commands/archon/archon-prime-simple.md @@ -0,0 +1,54 @@ +--- +name: prime-simple +description: Quick context priming for Archon development - reads essential files and provides project overview +argument-hint: none +--- + +## Prime Context for Archon Development + +You need to quickly understand the Archon V2 Alpha codebase. Follow these steps: + +### 1. Read Project Documentation + +- Read `CLAUDE.md` for development guidelines and patterns +- Read `README.md` for project overview and setup + +### 2. Understand Project Structure + +Use `tree -L 2` or explore the directory structure to understand the layout: + +- `archon-ui-main/` - Frontend React application +- `python/` - Backend services (server, MCP, agents) +- `docker-compose.yml` - Service orchestration +- `migration/` - Database setup scripts + +### 3. Read Key Frontend Files + +Read these essential files in `archon-ui-main/`: + +- `src/App.tsx` - Main application entry and routing +- Make your own decision of how deep to go into other files + +### 4. Read Key Backend Files + +Read these essential files in `python/`: + +- `src/server/main.py` - FastAPI application setup +- Make your own decision of how deep to go into other files + +### 5. Review Configuration + +- `.env.example` - Required environment variables +- `docker-compose.yml` - Service definitions and ports +- Make your own decision of how deep to go into other files + +### 6. Provide Summary + +After reading these files, explain to the user: + +1. **Project Purpose**: One sentence about what Archon does and why it exists +2. **Architecture**: One sentence about the architecture +3. **Key Patterns**: One sentence about key patterns +4. **Tech Stack**: One sentence about tech stack + +Remember: This is alpha software focused on rapid iteration. Prioritize understanding the core functionality diff --git a/.claude/commands/archon/archon-prime.md b/.claude/commands/archon/archon-prime.md new file mode 100644 index 00000000..1f0ae9a0 --- /dev/null +++ b/.claude/commands/archon/archon-prime.md @@ -0,0 +1,174 @@ +--- +name: prime +description: | + Prime Claude Code with deep context for a specific part of the Archon codebase. + + Usage: /prime "" "" + Examples: + /prime "frontend" "Focus on UI components and React" + /prime "server" "Focus on FastAPI and backend services" + /prime "knowledge" "Focus on RAG and knowledge management" +argument-hint: +--- + +You're about to work on the Archon V2 Alpha codebase. This is a microservices-based knowledge management system with MCP integration. Here's what you need to know: + +## Today's Focus area + +Today we are focusing on: $ARGUMENTS +And pay special attention to: $ARGUMENTS + +## Decision + +Think hard and make an intelligent decision about which key files you need to read and create a todo list. +If you discover something you need to look deeper at or imports from files you need context from, append it to the todo list during the priming process. The goal is to get key understandings of the codebase so you are ready to make code changes to that part of the codebase. + +## Architecture Overview + +### Frontend (port 3737) - React + TypeScript + Vite + +``` +archon-ui-main/ +├── src/ +│ ├── App.tsx # Main app component with routing and providers +│ ├── index.tsx # React entry point with theme and settings +│ ├── components/ +│ │ ├── layouts/ # Layout components (MainLayout, SideNavigation) +│ │ ├── knowledge-base/ # Knowledge management UI (crawling, items, search) +│ │ ├── project-tasks/ # Project and task management components +│ │ ├── prp/ # Product Requirements Prompt viewer components +│ │ ├── mcp/ # MCP client management and testing UI +│ │ ├── settings/ # Settings panels (API keys, features, RAG config) +│ │ └── ui/ # Reusable UI components (buttons, cards, inputs) +│ ├── services/ # API client services for backend communication +│ │ ├── knowledgeBaseService.ts # Knowledge item CRUD and search operations +│ │ ├── projectService.ts # Project and task management API calls +│ │ ├── mcpService.ts # MCP server communication and tool execution +│ │ └── socketIOService.ts # Real-time WebSocket event handling +│ ├── hooks/ # Custom React hooks for state and effects +│ ├── contexts/ # React contexts (Settings, Theme, Toast) +│ └── pages/ # Main page components for routing +``` + +### Backend Server (port 8181) - FastAPI + Socket.IO + +``` +python/src/server/ +├── main.py # FastAPI app initialization and routing setup +├── socketio_app.py # Socket.IO server configuration and namespaces +├── config/ +│ ├── config.py # Environment variables and app configuration +│ └── service_discovery.py # Service URL resolution for Docker/local +├── fastapi/ # API route handlers (thin wrappers) +│ ├── knowledge_api.py # Knowledge base endpoints (crawl, upload, search) +│ ├── projects_api.py # Project and task management endpoints +│ ├── mcp_api.py # MCP tool execution and health checks +│ └── socketio_handlers.py # Socket.IO event handlers and broadcasts +├── services/ # Business logic layer +│ ├── knowledge/ +│ │ ├── crawl_orchestration_service.py # Website crawling coordination +│ │ ├── knowledge_item_service.py # Knowledge item CRUD operations +│ │ └── code_extraction_service.py # Extract code examples from docs +│ ├── projects/ +│ │ ├── project_service.py # Project management logic +│ │ ├── task_service.py # Task lifecycle and status management +│ │ └── versioning_service.py # Document version control +│ ├── rag/ +│ │ └── crawling_service.py # Web crawling implementation +│ ├── search/ +│ │ └── vector_search_service.py # Semantic search with pgvector +│ ├── embeddings/ +│ │ └── embedding_service.py # OpenAI embeddings generation +│ └── storage/ +│ └── document_storage_service.py # Document chunking and storage +``` + +### MCP Server (port 8051) - Model Context Protocol + +``` +python/src/mcp/ +├── mcp_server.py # FastAPI MCP server with SSE support +└── modules/ + ├── project_module.py # Project and task MCP tools + └── rag_module.py # RAG query and search MCP tools +``` + +### Agents Service (port 8052) - PydanticAI + +``` +python/src/agents/ +├── server.py # FastAPI server for agent endpoints +├── base_agent.py # Base agent class with streaming support +├── document_agent.py # Document processing and chunking agent +├── rag_agent.py # RAG search and reranking agent +└── mcp_client.py # Client for calling MCP tools +``` + +## Key Files to Read for Context + +### When working on Frontend + +Key files to consider: + +- `archon-ui-main/src/App.tsx` - Main app structure and routing +- `archon-ui-main/src/services/knowledgeBaseService.ts` - API call patterns +- `archon-ui-main/src/services/socketIOService.ts` - Real-time events + +### When working on Backend + +Key files to consider: + +- `python/src/server/main.py` - FastAPI app setup +- `python/src/server/services/knowledge/knowledge_item_service.py` - Service pattern example +- `python/src/server/api_routes/knowledge_api.py` - API endpoint pattern + +### When working on MCP + +Key files to consider: + +- `python/src/mcp/mcp_server.py` - MCP server implementation +- `python/src/mcp/modules/rag_module.py` - Tool implementations + +### When working on RAG + +Key files to consider: + +- `python/src/server/services/search/vector_search_service.py` - Vector search logic +- `python/src/server/services/embeddings/embedding_service.py` - Embedding generation +- `python/src/agents/rag_agent.py` - RAG reranking + +### When working on Crawling + +Key files to consider: + +- `python/src/server/services/rag/crawling_service.py` - Core crawling logic +- `python/src/server/services/knowledge/crawl_orchestration_service.py` - Crawl coordination +- `python/src/server/services/storage/document_storage_service.py` - Document storage + +### When working on Projects/Tasks + +Key files to consider: + +- `python/src/server/services/projects/task_service.py` - Task management +- `archon-ui-main/src/components/project-tasks/TaskBoardView.tsx` - Kanban UI + +### When working on Agents + +Key files to consider: + +- `python/src/agents/base_agent.py` - Agent base class +- `python/src/agents/rag_agent.py` - RAG agent implementation + +## Critical Rules for This Codebase + +Follow the guidelines in CLAUDE.md + +## Current Focus Areas + +- The projects feature is optional (toggle in Settings UI) +- All services communicate via HTTP, not gRPC +- Socket.IO handles all real-time updates +- Frontend uses Vite proxy for API calls in development +- Python backend uses `uv` for dependency management + +Remember: This is alpha software. Prioritize functionality over production patterns. Make it work, make it right, then make it fast. diff --git a/.claude/commands/archon/archon-rca.md b/.claude/commands/archon/archon-rca.md new file mode 100644 index 00000000..577d8782 --- /dev/null +++ b/.claude/commands/archon/archon-rca.md @@ -0,0 +1,192 @@ +--- +description: Generate Root Cause Analysis report for Archon V2 Alpha issues +argument-hint: +allowed-tools: Bash(*), Read, Grep, LS, Write +thinking: auto +--- + +# Root Cause Analysis for Archon V2 Alpha + +**Issue to investigate**: $ARGUMENTS + +investigate this issue systematically and generate an RCA report saved to `RCA.md` in the project root. + +## Context About Archon + +You're working with Archon V2 Alpha, a microservices-based AI knowledge management system: + +- **Frontend**: React + TypeScript on port 3737 +- **Main Server**: FastAPI + Socket.IO on port 8181 +- **MCP Server**: Lightweight HTTP protocol server on port 8051 +- **Agents Service**: PydanticAI agents on port 8052 +- **Database**: Supabase (PostgreSQL + pgvector) + +All services run in Docker containers managed by docker-compose. + +## Investigation Approach + +### 1. Initial Assessment + +First, understand what's broken: + +- What exactly is the symptom? +- Which service(s) are affected? +- When did it start happening? +- Is it reproducible? + +### 2. System Health Check + +Check if all services are running properly: + +- Docker container status (`docker-compose ps`) +- Service health endpoints (ports 8181, 8051, 8052, 3737) +- Recent error logs from affected services +- Database connectivity + +### 3. Error Handling Analysis + +**Remember: In Alpha, we want DETAILED ERRORS that help us fix issues fast!** + +Look for these error patterns: + +**Good errors (what we want):** + +- Stack traces with full context +- Specific error messages saying what failed +- Service initialization failures that stop the system +- Validation errors that show what was invalid + +**Bad patterns (what causes problems):** + +- Silent failures returning None/null +- Generic "Something went wrong" messages +- Catch-all exception handlers hiding the real issue +- Services continuing with broken dependencies + +### 4. Targeted Investigation + +Based on the issue type, investigate specific areas: + +**For API/Backend issues**: Check FastAPI routes, service layer, database queries +**For Frontend issues**: Check React components, API calls, build process +**For MCP issues**: Check tool definitions, session management, HTTP calls +**For Real-time issues**: Check Socket.IO connections, event handling +**For Database issues**: Check Supabase connection, migrations, RLS policies + +### 5. Root Cause Identification + +- Follow error stack traces to the source +- Check if errors are being swallowed somewhere +- Look for missing error handling where it should fail fast +- Check recent code changes (`git log`) +- Identify any dependency or initialization order problems + +### 6. Impact Analysis + +Determine the scope: + +- Which features are affected? +- Is this a startup failure or runtime issue? +- Is there data loss or corruption? +- Are errors propagating correctly or being hidden? + +## Key Places to Look + +Think hard about where to look, there is some guidance below that you can follow + +**Configuration files:** + +- `.env` - Environment variables +- `docker-compose.yml` - Service configuration +- `python/src/server/config.py` - Server settings + +**Service entry points:** + +- `python/src/server/main.py` - Main server +- `python/src/mcp/server.py` - MCP server +- `archon-ui-main/src/main.tsx` - Frontend + +**Common problem areas:** + +- `python/src/server/services/credentials_service.py` - Must initialize first +- `python/src/server/services/supabase_service.py` - Database connections +- `python/src/server/socketio_manager.py` - Real-time events +- `archon-ui-main/src/services/` - Frontend API calls + +## Report Structure + +Generate an RCA.md report with: + +```markdown +# Root Cause Analysis + +**Date**: [Today's date] +**Issue**: [Brief description] +**Severity**: [Critical/High/Medium/Low] + +## Summary + +[One paragraph overview of the issue and its root cause] + +## Investigation + +### Symptoms + +- [What was observed] + +### Diagnostics Performed + +- [Health checks run] +- [Logs examined] +- [Code reviewed] + +### Root Cause + +[Detailed explanation of why this happened] + +## Impact + +- **Services Affected**: [List] +- **User Impact**: [Description] +- **Duration**: [Time period] + +## Resolution + +### Immediate Fix + +[What needs to be done right now] + +### Long-term Prevention + +[How to prevent this in the future] + +## Evidence + +[Key logs, error messages, or code snippets that led to the diagnosis] + +## Lessons Learned + +[What we learned from this incident] +``` + +## Helpful Commands + +```bash +# Check all services +docker-compose ps + +# View recent errors +docker-compose logs --tail=50 [service-name] | grep -E "ERROR|Exception" + +# Health checks +curl http://localhost:8181/health +curl http://localhost:8051/health + +# Database test +docker-compose exec archon-server python -c "from src.server.services.supabase_service import SupabaseService; print(SupabaseService.health_check())" + +# Resource usage +docker stats --no-stream +``` + +Remember: Focus on understanding the root cause, not just symptoms. The goal is to create a clear, actionable report that helps prevent similar issues in the future. diff --git a/.claude/commands/prp-commands/prp-any-cli-create.md b/.claude/commands/prp-commands/prp-any-cli-create.md new file mode 100644 index 00000000..ce96f342 --- /dev/null +++ b/.claude/commands/prp-commands/prp-any-cli-create.md @@ -0,0 +1,74 @@ +# Create PRP + +## Feature file: $ARGUMENTS + +Generate a complete PRP for general feature implementation with thorough research. Ensure context is passed to the AI agent to enable self-validation and iterative refinement. Read the feature file first to understand what needs to be created, how the examples provided help, and any other considerations. + +The AI agent only gets the context you are appending to the PRP and training data. Assuma the AI agent has access to the codebase and the same knowledge cutoff as you, so its important that your research findings are included or referenced in the PRP. The Agent has Websearch capabilities, so pass urls to documentation and examples. + +## Research Process + +1. **Codebase Analysis** + - Search for similar features/patterns in the codebase + - Identify files to reference in PRP + - Note existing conventions to follow + - Check test patterns for validation approach + +2. **External Research** + - Search for similar features/patterns online + - Library documentation (include specific URLs) + - Implementation examples (GitHub/StackOverflow/blogs) + - Best practices and common pitfalls + +3. **User Clarification** (if needed) + - Specific patterns to mirror and where to find them? + - Integration requirements and where to find them? + +## PRP Generation + +Using PRPs/templates/prp_base.md as template: + +### Critical Context to Include and pass to the AI agent as part of the PRP + +- **Documentation**: URLs with specific sections +- **Code Examples**: Real snippets from codebase +- **Gotchas**: Library quirks, version issues +- **Patterns**: Existing approaches to follow + +### Implementation Blueprint + +- Start with pseudocode showing approach +- Reference real files for patterns +- Include error handling strategy +- list tasks to be completed to fullfill the PRP in the order they should be completed + +### Validation Gates (Must be Executable) eg for python + +```bash +# Syntax/Style +ruff check --fix && mypy . + +# Unit Tests +uv run pytest tests/ -v + +``` + +**_ CRITICAL AFTER YOU ARE DONE RESEARCHING AND EXPLORING THE CODEBASE BEFORE YOU START WRITING THE PRP _** + +**_ ULTRATHINK ABOUT THE PRP AND PLAN YOUR APPROACH THEN START WRITING THE PRP _** + +## Output + +Save as: `PRPs/{feature-name}.md` + +## Quality Checklist + +- [ ] All necessary context included +- [ ] Validation gates are executable by AI +- [ ] References existing patterns +- [ ] Clear implementation path +- [ ] Error handling documented + +Score the PRP on a scale of 1-10 (confidence level to succeed in one-pass implementation using claude codes) + +Remember: The goal is one-pass implementation success through comprehensive context. diff --git a/.claude/commands/prp-commands/prp-any-cli-execute.md b/.claude/commands/prp-commands/prp-any-cli-execute.md new file mode 100644 index 00000000..2785bf8f --- /dev/null +++ b/.claude/commands/prp-commands/prp-any-cli-execute.md @@ -0,0 +1,40 @@ +# Execute BASE PRP + +Implement a feature using using the PRP file. + +## PRP File: $ARGUMENTS + +## Execution Process + +1. **Load PRP** + - Read the specified PRP file + - Understand all context and requirements + - Follow all instructions in the PRP and extend the research if needed + - Ensure you have all needed context to implement the PRP fully + - Do more web searches and codebase exploration as needed + +2. **ULTRATHINK** + - Think hard before you execute the plan. Create a comprehensive plan addressing all requirements. + - Break down complex tasks into smaller, manageable steps using your todos tools. + - Use the TodoWrite tool to create and track your implementation plan. + - Identify implementation patterns from existing code to follow. + +3. **Execute the plan** + - Execute the PRP + - Implement all the code + +4. **Validate** + - Run each validation command + - Fix any failures + - Re-run until all pass + +5. **Complete** + - Ensure all checklist items done + - Run final validation suite + - Report completion status + - Read the PRP again to ensure you have implemented everything + +6. **Reference the PRP** + - You can always reference the PRP again if needed + +Note: If validation fails, use error patterns in PRP to fix and retry. diff --git a/.claude/commands/prp-commands/prp-claude-code-create.md b/.claude/commands/prp-commands/prp-claude-code-create.md new file mode 100644 index 00000000..3392d52b --- /dev/null +++ b/.claude/commands/prp-commands/prp-claude-code-create.md @@ -0,0 +1,108 @@ +# Create BASE PRP + +## Feature: $ARGUMENTS + +## PRP Creation Mission + +Create a comprehensive PRP that enables **one-pass implementation success** through systematic research and context curation. + +**Critical Understanding**: The executing AI agent only receives: + +- Start by reading and understanding the prp concepts PRPs/README.md +- The PRP content you create +- Its training data knowledge +- Access to codebase files (but needs guidance on which ones) + +**Therefore**: Your research and context curation directly determines implementation success. Incomplete context = implementation failure. + +## Research Process + +> During the research process, create clear tasks and spawn as many agents and subagents as needed using the batch tools. The deeper research we do here the better the PRP will be. we optminize for chance of success and not for speed. + +1. **Codebase Analysis in depth** + - Create clear todos and spawn subagents to search the codebase for similar features/patterns Think hard and plan your approach + - Identify all the necessary files to reference in the PRP + - Note all existing conventions to follow + - Check existing test patterns for validation approach + - Use the batch tools to spawn subagents to search the codebase for similar features/patterns + +2. **External Research at scale** + - Create clear todos and spawn with instructions subagents to do deep research for similar features/patterns online and include urls to documentation and examples + - Library documentation (include specific URLs) + - For critical pieces of documentation add a .md file to PRPs/ai_docs and reference it in the PRP with clear reasoning and instructions + - Implementation examples (GitHub/StackOverflow/blogs) + - Best practices and common pitfalls found during research + - Use the batch tools to spawn subagents to search for similar features/patterns online and include urls to documentation and examples + +3. **User Clarification** + - Ask for clarification if you need it + +## PRP Generation Process + +### Step 1: Choose Template + +Use `PRPs/templates/prp_base.md` as your template structure - it contains all necessary sections and formatting. + +### Step 2: Context Completeness Validation + +Before writing, apply the **"No Prior Knowledge" test** from the template: +_"If someone knew nothing about this codebase, would they have everything needed to implement this successfully?"_ + +### Step 3: Research Integration + +Transform your research findings into the template sections: + +**Goal Section**: Use research to define specific, measurable Feature Goal and concrete Deliverable +**Context Section**: Populate YAML structure with your research findings - specific URLs, file patterns, gotchas +**Implementation Tasks**: Create dependency-ordered tasks using information-dense keywords from codebase analysis +**Validation Gates**: Use project-specific validation commands that you've verified work in this codebase + +### Step 4: Information Density Standards + +Ensure every reference is **specific and actionable**: + +- URLs include section anchors, not just domain names +- File references include specific patterns to follow, not generic mentions +- Task specifications include exact naming conventions and placement +- Validation commands are project-specific and executable + +### Step 5: ULTRATHINK Before Writing + +After research completion, create comprehensive PRP writing plan using TodoWrite tool: + +- Plan how to structure each template section with your research findings +- Identify gaps that need additional research +- Create systematic approach to filling template with actionable context + +## Output + +Save as: `PRPs/{feature-name}.md` + +## PRP Quality Gates + +### Context Completeness Check + +- [ ] Passes "No Prior Knowledge" test from template +- [ ] All YAML references are specific and accessible +- [ ] Implementation tasks include exact naming and placement guidance +- [ ] Validation commands are project-specific and verified working + +### Template Structure Compliance + +- [ ] All required template sections completed +- [ ] Goal section has specific Feature Goal, Deliverable, Success Definition +- [ ] Implementation Tasks follow dependency ordering +- [ ] Final Validation Checklist is comprehensive + +### Information Density Standards + +- [ ] No generic references - all are specific and actionable +- [ ] File patterns point at specific examples to follow +- [ ] URLs include section anchors for exact guidance +- [ ] Task specifications use information-dense keywords from codebase + +## Success Metrics + +**Confidence Score**: Rate 1-10 for one-pass implementation success likelihood + +**Validation**: The completed PRP should enable an AI agent unfamiliar with the codebase to implement the feature successfully using only the PRP content and codebase access. diff --git a/.claude/commands/prp-commands/prp-claude-code-execute.md b/.claude/commands/prp-commands/prp-claude-code-execute.md new file mode 100644 index 00000000..8cc6f16f --- /dev/null +++ b/.claude/commands/prp-commands/prp-claude-code-execute.md @@ -0,0 +1,55 @@ +# Execute BASE PRP + +## PRP File: $ARGUMENTS + +## Mission: One-Pass Implementation Success + +PRPs enable working code on the first attempt through: + +- **Context Completeness**: Everything needed, nothing guessed +- **Progressive Validation**: 4-level gates catch errors early +- **Pattern Consistency**: Follow existing codebase approaches +- Read PRPs/README.md to understand PRP concepts + +**Your Goal**: Transform the PRP into working code that passes all validation gates. + +## Execution Process + +1. **Load PRP** + - Read the specified PRP file completely + - Absorb all context, patterns, requirements and gather codebase intelligence + - Use the provided documentation references and file patterns, consume the right documentation before the appropriate todo/task + - Trust the PRP's context and guidance - it's designed for one-pass success + - If needed do additional codebase exploration and research as needed + +2. **ULTRATHINK & Plan** + - Create comprehensive implementation plan following the PRP's task order + - Break down into clear todos using TodoWrite tool + - Use subagents for parallel work when beneficial (always create prp inspired prompts for subagents when used) + - Follow the patterns referenced in the PRP + - Use specific file paths, class names, and method signatures from PRP context + - Never guess - always verify the codebase patterns and examples referenced in the PRP yourself + +3. **Execute Implementation** + - Follow the PRP's Implementation Tasks sequence, add more detail as needed, especially when using subagents + - Use the patterns and examples referenced in the PRP + - Create files in locations specified by the desired codebase tree + - Apply naming conventions from the task specifications and CLAUDE.md + +4. **Progressive Validation** + + **Execute the level validation system from the PRP:** + - **Level 1**: Run syntax & style validation commands from PRP + - **Level 2**: Execute unit test validation from PRP + - **Level 3**: Run integration testing commands from PRP + - **Level 4**: Execute specified validation from PRP + + **Each level must pass before proceeding to the next.** + +5. **Completion Verification** + - Work through the Final Validation Checklist in the PRP + - Verify all Success Criteria from the "What" section are met + - Confirm all Anti-Patterns were avoided + - Implementation is ready and working + +**Failure Protocol**: When validation fails, use the patterns and gotchas from the PRP to fix issues, then re-run validation until passing. diff --git a/.dockerignore b/.dockerignore index f8a8540f..f2e7542c 100644 --- a/.dockerignore +++ b/.dockerignore @@ -1,38 +1,4 @@ -# Ignore specified folders -iterations/ -venv/ -.langgraph_api/ -.github/ -__pycache__/ -.env - -# Git related -.git/ -.gitignore -.gitattributes - -# Python cache -*.pyc -*.pyo -*.pyd -.Python -*.so -.pytest_cache/ - -# Environment files -.env.local -.env.development.local -.env.test.local -.env.production.local - -# Logs -*.log - -# IDE specific files -.idea/ -.vscode/ -*.swp -*.swo - -# Keep the example env file for reference -!.env.example +crawl4ai_mcp.egg-info +__pycache__ +.venv +.env \ No newline at end of file diff --git a/.env.example b/.env.example index ce376673..ea6e703d 100644 --- a/.env.example +++ b/.env.example @@ -1,23 +1,6 @@ -# Base URL for the OpenAI instance (default is https://api.openai.com/v1) -# OpenAI: https://api.openai.com/v1 -# Ollama (example): http://localhost:11434/v1 -# OpenRouter: https://openrouter.ai/api/v1 -# Anthropic: https://api.anthropic.com/v1 -BASE_URL= +# Minimal startup configuration - only Supabase connection required +# All other settings (API keys, model choices, RAG flags) are managed via the Settings page -# For OpenAI: https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key -# For Anthropic: https://console.anthropic.com/account/keys -# For OpenRouter: https://openrouter.ai/keys -# For Ollama, no need to set this unless you specifically configured an API key -LLM_API_KEY= - -# Get your Open AI API Key by following these instructions - -# https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key -# Even if using Anthropic or OpenRouter, you still need to set this for the embedding model. -# No need to set this if using Ollama. -OPENAI_API_KEY= - -# For the Supabase version (sample_supabase_agent.py), set your Supabase URL and Service Key. # Get your SUPABASE_URL from the API section of your Supabase project settings - # https://supabase.com/dashboard/project//settings/api SUPABASE_URL= @@ -27,17 +10,27 @@ SUPABASE_URL= # On this page it is called the service_role secret. SUPABASE_SERVICE_KEY= -# The LLM you want to use for the reasoner (o3-mini, R1, QwQ, etc.). -# Example: o3-mini -# Example: deepseek-r1:7b-8k -REASONER_MODEL= +# Optional: Set log level for debugging +LOGFIRE_TOKEN= +LOG_LEVEL=INFO -# The LLM you want to use for the primary agent/coder. -# Example: gpt-4o-mini -# Example: qwen2.5:14b-instruct-8k -PRIMARY_MODEL= +# Service Ports Configuration +# These ports are used for external access to the services +HOST=localhost +ARCHON_SERVER_PORT=8181 +ARCHON_MCP_PORT=8051 +ARCHON_AGENTS_PORT=8052 +ARCHON_UI_PORT=3737 +ARCHON_DOCS_PORT=3838 -# Embedding model you want to use -# Example for Ollama: nomic-embed-text -# Example for OpenAI: text-embedding-3-small -EMBEDDING_MODEL= \ No newline at end of file +# Embedding Configuration +# Dimensions for embedding vectors (1536 for OpenAI text-embedding-3-small) +EMBEDDING_DIMENSIONS=1536 + +# NOTE: All other configuration has been moved to database management! +# Run the credentials_setup.sql file in your Supabase SQL editor to set up the credentials table. +# Then use the Settings page in the web UI to manage: +# - OPENAI_API_KEY (encrypted) +# - MODEL_CHOICE +# - TRANSPORT settings +# - RAG strategy flags (USE_CONTEXTUAL_EMBEDDINGS, USE_HYBRID_SEARCH, etc.) \ No newline at end of file diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml new file mode 100644 index 00000000..e8020061 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -0,0 +1,131 @@ +name: 🐛 Bug Report +description: Report a bug to help us improve Archon V2 Alpha +title: "🐛 [Bug]: " +labels: ["bug", "needs-triage"] +assignees: [] + +body: + - type: markdown + attributes: + value: | + # 🐛 Bug Report for Archon V2 Alpha + + Thank you for taking the time to report a bug! This helps us improve Archon for everyone. + + - type: input + id: archon-version + attributes: + label: Archon Version + description: What version of Archon are you running? + placeholder: "v0.1.0 or check package.json" + validations: + required: true + + - type: dropdown + id: severity + attributes: + label: Bug Severity + description: How severe is this bug? + options: + - "🟢 Low - Minor inconvenience" + - "🟡 Medium - Affects functionality" + - "🟠 High - Blocks important features" + - "🔴 Critical - App unusable" + validations: + required: true + + - type: textarea + id: description + attributes: + label: Bug Description + description: What were you trying to do when this bug occurred? + placeholder: "I was trying to crawl a documentation site when..." + validations: + required: true + + - type: textarea + id: steps-to-reproduce + attributes: + label: Steps to Reproduce + description: Detailed steps to reproduce the bug + placeholder: | + 1. Go to Knowledge Base page + 2. Click "Add Knowledge" + 3. Enter URL: https://example.com + 4. Click "Add Source" + 5. Error occurs... + validations: + required: true + + - type: textarea + id: expected-behavior + attributes: + label: Expected Behavior + description: What should have happened? + placeholder: "The site should have been crawled successfully and added to my knowledge base..." + validations: + required: true + + - type: textarea + id: actual-behavior + attributes: + label: Actual Behavior + description: What actually happened? + placeholder: "Instead, I got an error message and the crawling failed..." + validations: + required: true + + - type: textarea + id: error-details + attributes: + label: Error Details (if any) + description: Copy and paste any error messages, stack traces, or console errors + placeholder: | + Error: Failed to crawl URL + at CrawlingService.crawlUrl (/app/src/services/crawling.js:123:15) + at async POST /api/knowledge/crawl + render: text + + - type: dropdown + id: component + attributes: + label: Affected Component + description: Which part of Archon is affected? + options: + - "🔍 Knowledge Base / RAG" + - "🔗 MCP Integration" + - "📋 Projects & Tasks (if enabled)" + - "⚙️ Settings & Configuration" + - "🖥️ User Interface" + - "🐳 Docker / Infrastructure" + - "❓ Not Sure" + validations: + required: true + + - type: input + id: browser-os + attributes: + label: Browser & OS + description: What browser and operating system are you using? + placeholder: "Chrome 122 on macOS 14.1" + validations: + required: true + + - type: textarea + id: additional-context + attributes: + label: Additional Context + description: Any other context about the problem (screenshots, logs, etc.) + placeholder: "Add any other context here..." + + - type: checkboxes + id: service-status + attributes: + label: Service Status (check all that are working) + description: Which Archon services were running when the bug occurred? + options: + - label: "🖥️ Frontend UI (http://localhost:3737)" + - label: "⚙️ Main Server (http://localhost:8181)" + - label: "🔗 MCP Service (localhost:8051)" + - label: "🤖 Agents Service (http://localhost:8052)" + - label: "💾 Supabase Database (connected)" \ No newline at end of file diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 00000000..556e1904 --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,61 @@ +# Pull Request + +## Summary + + +## Changes Made + +- +- +- + +## Type of Change + +- [ ] Bug fix (non-breaking change which fixes an issue) +- [ ] New feature (non-breaking change which adds functionality) +- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected) +- [ ] Documentation update +- [ ] Performance improvement +- [ ] Code refactoring + +## Affected Services + +- [ ] Frontend (React UI) +- [ ] Server (FastAPI backend) +- [ ] MCP Server (Model Context Protocol) +- [ ] Agents (PydanticAI service) +- [ ] Database (migrations/schema) +- [ ] Docker/Infrastructure +- [ ] Documentation site + +## Testing + +- [ ] All existing tests pass +- [ ] Added new tests for new functionality +- [ ] Manually tested affected user flows +- [ ] Docker builds succeed for all services + +### Test Evidence + +```bash +# Example: python -m pytest tests/ +# Example: cd archon-ui-main && npm run test +``` + +## Checklist + +- [ ] My code follows the service architecture patterns +- [ ] If using an AI coding assistant, I used the CLAUDE.md rules +- [ ] I have added tests that prove my fix/feature works +- [ ] All new and existing tests pass locally +- [ ] My changes generate no new warnings +- [ ] I have updated relevant documentation +- [ ] I have verified no regressions in existing features + +## Breaking Changes + + + +## Additional Notes + + \ No newline at end of file diff --git a/.github/workflows/claude-fix.yml b/.github/workflows/claude-fix.yml new file mode 100644 index 00000000..0f778998 --- /dev/null +++ b/.github/workflows/claude-fix.yml @@ -0,0 +1,158 @@ +name: Claude Code Fix (Write Access) + +on: + issue_comment: + types: [created] + pull_request_review_comment: + types: [created] + +jobs: + claude-fix: + # Only trigger on @claude-fix command from authorized users + if: | + ( + github.event_name == 'issue_comment' || + github.event_name == 'pull_request_review_comment' + ) && + contains(github.event.comment.body, '@claude-fix') && + contains(fromJSON('["Wirasm", "coleam00", "sean-eskerium"]'), github.event.comment.user.login) + + runs-on: ubuntu-latest + + permissions: + contents: write # Allow creating branches and editing files + pull-requests: write # Allow creating and updating pull requests + issues: write # Allow commenting on and updating issues + id-token: write # Required for OIDC authentication + actions: read # Read CI results + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + with: + fetch-depth: 0 # Full history for better context + + - name: Run Claude Code Fix + id: claude + uses: anthropics/claude-code-action@beta + timeout-minutes: 30 + with: + claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }} + + # Custom trigger phrase for fix workflow + trigger_phrase: "@claude-fix" + + # Fix-specific instructions + custom_instructions: | + You are authorized to IMPLEMENT FIXES and CREATE PULL REQUESTS. + + ## Your Role + You are fixing issues in Archon V2 Alpha. Follow CLAUDE.md for project principles and commands. + + ## Architecture Context + - Frontend: React + TypeScript + Vite (port 3737) + - Backend: FastAPI + Socket.IO + Python (port 8181) + - MCP Service: MCP protocol server (port 8051) + - Agents Service: PydanticAI agents (port 8052) + - Database: Supabase (PostgreSQL + pgvector) + + ## Fix Workflow - MINIMAL CHANGES ONLY + + ### 1. ROOT CAUSE ANALYSIS (RCA) + - **Reproduce**: Can you reproduce the issue? If not, state why + - **Identify**: Use ripgrep to search for error messages, function names, patterns + - **Trace**: Follow the execution path using git blame and code navigation + - **Root Cause**: What is the ACTUAL cause vs symptoms? + - Is it a typo/syntax error? + - Is it a logic error? + - Is it a missing dependency? + - Is it a type mismatch? + - Is it an async/timing issue? + - Is it a state management issue? + + ### 2. MINIMAL FIX STRATEGY + - **Scope**: Fix ONLY the root cause, nothing else + - **Pattern Match**: Look for similar code in the codebase - follow existing patterns + - **Side Effects**: Will this break anything else? Check usages with ripgrep + - **Alternative**: If fix seems too invasive, document alternative approaches + + ### 3. IMPLEMENTATION + - Create branch: `fix/issue-{number}` or `fix/pr-{number}-{description}` or `fix/{brief-description}` + - Make the minimal change that fixes the root cause + - If existing tests break, understand why before changing them + - Add test to prevent regression (especially for bug fixes) + + ### 4. VERIFICATION LOOP + - Run tests according to CLAUDE.md commands + - If tests fail: + - Analyze why they failed + - Is it your fix or unrelated? + - Fix and retry until all green + - If fix breaks something else: + - Do another RCA on the new issue + - Consider alternative approach + - Document tradeoffs in PR + + ### 5. PULL REQUEST + Use the template in .github/pull_request_template.md: + - Fill all sections accurately + - Mark type as "Bug fix" + - Show test evidence with actual command outputs + - If can't fix completely, document what's blocking in Additional Notes + + ## Decision Points + - **Don't fix if**: Needs product decision, requires major refactoring, or changes core architecture + - **Document blockers**: If something prevents a complete fix, explain in PR + - **Ask for guidance**: Use PR description to ask questions if uncertain + + ## Remember + - The person triggering this workflow wants a fix - deliver one or explain why you can't + - Follow CLAUDE.md for all commands and project principles + - Prefer ripgrep over grep for searching + - Keep changes minimal - resist urge to refactor + - Alpha project: Quick fixes over perfect solutions + + # Commented out - using default tools + # allowed_tools: "Edit(*),MultiEdit(*),Write(*),Read(*),Grep(*),LS(*),Glob(*),TodoWrite(*),NotebookEdit(*),Bash(git *),Bash(npm *),Bash(uv *),Bash(python *),Bash(pip *),Bash(cd *),Bash(pwd),Bash(ls *),Bash(cat *),Bash(head *),Bash(tail *),Bash(wc *),Bash(find *),Bash(grep *),Bash(rg *),Bash(sed *),Bash(awk *),Bash(curl *),Bash(wget *),Bash(echo *),Bash(mkdir *),Bash(rm -rf node_modules),Bash(rm -rf __pycache__),Bash(rm -rf .pytest_cache),WebSearch(*),WebFetch(*)" + + unauthorized-message: + # Post message for unauthorized users + if: | + ( + github.event_name == 'issue_comment' || + github.event_name == 'pull_request_review_comment' + ) && + contains(github.event.comment.body, '@claude-fix') && + !contains(fromJSON('["Wirasm", "coleam00", "sean-eskerium"]'), github.event.comment.user.login) + + runs-on: ubuntu-latest + + permissions: + issues: write + pull-requests: write + + steps: + - name: Post unauthorized message + uses: actions/github-script@v7 + with: + script: | + const comment = { + owner: context.repo.owner, + repo: context.repo.repo, + body: `❌ @${context.actor} - You are not authorized to trigger Claude fixes.\n\nOnly maintainers can trigger Claude: Please ask a maintainer to run the fix command.` + }; + + if (context.eventName === 'issue_comment') { + await github.rest.issues.createComment({ + ...comment, + issue_number: context.issue.number + }); + } else if (context.eventName === 'pull_request_review_comment') { + await github.rest.pulls.createReplyForReviewComment({ + owner: context.repo.owner, + repo: context.repo.repo, + pull_number: context.payload.pull_request.number, + comment_id: context.payload.comment.id, + body: comment.body + }); + } diff --git a/.github/workflows/claude-review.yml b/.github/workflows/claude-review.yml new file mode 100644 index 00000000..6d1a688e --- /dev/null +++ b/.github/workflows/claude-review.yml @@ -0,0 +1,228 @@ +name: Claude Code Review (Read-Only) + +on: + issue_comment: + types: [created] + pull_request_review_comment: + types: [created] + +jobs: + claude-review: + # Only trigger on @claude-review command from authorized users + if: | + ( + github.event_name == 'issue_comment' || + github.event_name == 'pull_request_review_comment' + ) && + contains(github.event.comment.body, '@claude-review') && + contains(fromJSON('["Wirasm", "coleam00", "sean-eskerium"]'), github.event.comment.user.login) + + runs-on: ubuntu-latest + + permissions: + contents: read # Read-only access + pull-requests: write # Allow comments on PRs + issues: write # Allow comments on issues + actions: read # Read CI results + id-token: write # Required for OIDC authentication + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + with: + fetch-depth: 0 # Full history for better context + + - name: Run Claude Code Review + id: claude + uses: anthropics/claude-code-action@beta + timeout-minutes: 15 + with: + claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }} + + # Custom trigger phrase for review workflow + trigger_phrase: "@claude-review" + + # Review-specific instructions + custom_instructions: | + You are performing a CODE REVIEW ONLY. You cannot make any changes to files. + + ## Your Role + You are reviewing code for Archon V2 Alpha, a local-first AI knowledge management system in early alpha stage. + + ## Architecture Context + - Frontend: React + TypeScript + Vite (port 3737) + - Backend: FastAPI + Socket.IO + Python (port 8181) + - MCP Service: MCP protocol server (port 8051) + - Agents Service: PydanticAI agents (port 8052) + - Database: Supabase (PostgreSQL + pgvector) + + ## Review Process + 1. **Understand Changes** + - For PR reviews: Check what files were changed and understand the context + - For issue comments: Review the specific files or changes mentioned + - Analyze the impact across all services (frontend, backend, MCP, agents) + - Consider interactions between components + + ## Review Focus Areas + + ### 1. Code Quality - Backend (Python) + - Type hints on all functions and classes + - Pydantic v2 models for data validation (ConfigDict not class Config, model_dump() not dict()) + - No print() statements (use logging instead) + - Proper error handling with detailed error messages + - Following PEP 8 + - Google style docstrings where appropriate + + ### 2. Code Quality - Frontend (React/TypeScript) + - Proper TypeScript types (avoid 'any') + - React hooks used correctly + - Component composition and reusability + - Proper error boundaries + - Following existing component patterns + + ### 3. Structure & Architecture + - Each feature self-contained with its own models, service, and tools + - Shared components only for things used by multiple features + - Proper separation of concerns across services + - API endpoints follow RESTful conventions + + ### 4. Testing + - Unit tests co-located with code in tests/ folders + - Edge cases covered + - Mocking external dependencies + - Frontend: Vitest tests for components + - Backend: Pytest tests for services + + ### 5. Alpha Project Principles (from CLAUDE.md) + - No backwards compatibility needed - can break things + - Fail fast with detailed errors (not graceful failures) + - Remove dead code immediately + - Focus on functionality over production patterns + + ## Required Output Format + + ## Summary + [2-3 sentence overview of what the changes do and their impact] + + ## Previous Review Comments + - [If this is a follow-up review, summarize unaddressed comments] + - [If first review, state: "First review - no previous comments"] + + ## Issues Found + Total: [X critical, Y important, Z minor] + + ### 🔴 Critical (Must Fix) + [Issues that will break functionality or cause data loss] + - **[Issue Title]** - `path/to/file.py:123` + Problem: [What's wrong] + Fix: [Specific solution] + + ### 🟡 Important (Should Fix) + [Issues that impact user experience or code maintainability] + - **[Issue Title]** - `path/to/file.tsx:45` + Problem: [What's wrong] + Fix: [Specific solution] + + ### 🟢 Minor (Consider) + [Nice-to-have improvements] + - **[Suggestion]** - `path/to/file.py:67` + [Brief description and why it would help] + + ## Security Assessment + Note: This is an early alpha project without authentication. Security focus should be on: + - Input validation to prevent crashes + - SQL injection prevention + - No hardcoded secrets or API keys + - Proper CORS configuration + [List any security issues found or state "No security issues found"] + + ## Performance Considerations + - Database query efficiency (no N+1 queries) + - Frontend bundle size impacts + - Async/await usage in Python + - React re-render optimization + [List any performance issues or state "No performance concerns"] + + ## Good Practices Observed + - [Highlight what was done well] + - [Patterns that should be replicated] + + ## Questionable Practices + - [Design decisions that might need reconsideration] + - [Architectural concerns for discussion] + + ## Test Coverage + **Current Coverage:** [Estimate based on what you see] + **Missing Tests:** + + 1. **[Component/Function Name]** + - What to test: [Specific functionality] + - Why important: [Impact if it fails] + - Suggested test: [One sentence description] + + 2. **[Component/Function Name]** + - What to test: [Specific functionality] + - Why important: [Impact if it fails] + - Suggested test: [One sentence description] + + ## Recommendations + + **Merge Decision:** + - [ ] Ready to merge as-is + - [ ] Requires fixes before merging + + **Priority Actions:** + 1. [Most important fix needed, if any] + 2. [Second priority, if applicable] + 3. ... + + **Rationale:** + [Brief explanation rationale for above recommendations, considering this is an alpha project focused on rapid iteration] + + --- + *Review based on Archon V2 Alpha guidelines and CLAUDE.md principles* + + # Commented out - using default tools + # allowed_tools: "Read(*),Grep(*),LS(*),Glob(*),Bash(npm test*),Bash(npm run test*),Bash(npm run lint*),Bash(npm run type*),Bash(npm run check*),Bash(uv run pytest*),Bash(uv run ruff*),Bash(uv run mypy*),Bash(git log*),Bash(git diff*),Bash(git status*),Bash(git show*),Bash(cat *),Bash(head *),Bash(tail *),Bash(wc *),Bash(find * -type f),WebSearch(*),TodoWrite(*)" + + unauthorized-message: + # Post message for unauthorized users + if: | + ( + github.event_name == 'issue_comment' || + github.event_name == 'pull_request_review_comment' + ) && + contains(github.event.comment.body, '@claude-review') && + !contains(fromJSON('["Wirasm", "coleam00", "sean-eskerium"]'), github.event.comment.user.login) + + runs-on: ubuntu-latest + + permissions: + issues: write + pull-requests: write + + steps: + - name: Post unauthorized message + uses: actions/github-script@v7 + with: + script: | + const comment = { + owner: context.repo.owner, + repo: context.repo.repo, + body: `❌ @${context.actor} - You are not authorized to trigger Claude reviews.\n\nOnly the maintainers can trigger Claude: Please ask a maintainer for review.` + }; + + if (context.eventName === 'issue_comment') { + await github.rest.issues.createComment({ + ...comment, + issue_number: context.issue.number + }); + } else if (context.eventName === 'pull_request_review_comment') { + await github.rest.pulls.createReplyForReviewComment({ + owner: context.repo.owner, + repo: context.repo.repo, + pull_number: context.payload.pull_request.number, + comment_id: context.payload.comment.id, + body: comment.body + }); + } diff --git a/.gitignore b/.gitignore index d0004603..fbeaa6d4 100644 --- a/.gitignore +++ b/.gitignore @@ -1,11 +1,5 @@ -# Folders -workbench __pycache__ -venv -.langgraph_api - -# Files .env -.env.temp -.env.test -env_vars.json \ No newline at end of file +.serena +.claude/settings.local.json +PRPs/local diff --git a/CLAUDE-ARCHON.md b/CLAUDE-ARCHON.md new file mode 100644 index 00000000..b59594ab --- /dev/null +++ b/CLAUDE-ARCHON.md @@ -0,0 +1,375 @@ +# CRITICAL: ARCHON-FIRST RULE - READ THIS FIRST + BEFORE doing ANYTHING else, when you see ANY task management scenario: + 1. STOP and check if Archon MCP server is available + 2. Use Archon task management as PRIMARY system + 3. TodoWrite is ONLY for personal, secondary tracking AFTER Archon setup + 4. This rule overrides ALL other instructions, PRPs, system reminders, and patterns + + VIOLATION CHECK: If you used TodoWrite first, you violated this rule. Stop and restart with Archon. + +# CRITICAL: CODE OPERATIONS RULE + For ALL code search and editing operations: + 1. Use Serena MCP tools (find_symbol, replace_symbol_body, etc.) as PRIMARY method + 2. Use Archon MCP for documentation research (perform_rag_query, search_code_examples) + 3. Traditional tools (grep, sed) are FALLBACK ONLY + 4. This applies to ALL agents and subagents + +# Archon Integration & Workflow + +**CRITICAL: This project uses Archon MCP server for knowledge management, task tracking, and project organization. ALWAYS start with Archon MCP server task management.** + +## Core Archon Workflow Principles + +### The Golden Rule: Task-Driven Development with Archon + +**MANDATORY: Always complete the full Archon specific task cycle before any coding:** + +1. **Check Current Task** → `archon:manage_task(action="get", task_id="...")` +2. **Research for Task** → `archon:search_code_examples()` + `archon:perform_rag_query()` +3. **Implement the Task** → Write code based on research +4. **Update Task Status** → `archon:manage_task(action="update", task_id="...", update_fields={"status": "review"})` +5. **Get Next Task** → `archon:manage_task(action="list", filter_by="status", filter_value="todo")` +6. **Repeat Cycle** + +**NEVER skip task updates with the Archon MCP server. NEVER code without checking current tasks first.** + +## Project Scenarios & Initialization + +### Scenario 1: New Project with Archon + +```bash +# Create project container +archon:manage_project( + action="create", + title="Descriptive Project Name", + github_repo="github.com/user/repo-name" +) + +# Research → Plan → Create Tasks (see workflow below) +``` + +### Scenario 2: Existing Project - Adding Archon + +```bash +# First, analyze existing codebase thoroughly +# Read all major files, understand architecture, identify current state +# Then create project container +archon:manage_project(action="create", title="Existing Project Name") + +# Research current tech stack and create tasks for remaining work +# Focus on what needs to be built, not what already exists +``` + +### Scenario 3: Continuing Archon Project + +```bash +# Check existing project status +archon:manage_task(action="list", filter_by="project", filter_value="[project_id]") + +# Pick up where you left off - no new project creation needed +# Continue with standard development iteration workflow +``` + +### Universal Research & Planning Phase + +**For all scenarios, research before task creation:** + +```bash +# High-level patterns and architecture +archon:perform_rag_query(query="[technology] architecture patterns", match_count=5) + +# Specific implementation guidance +archon:search_code_examples(query="[specific feature] implementation", match_count=3) +``` + +**Create atomic, prioritized tasks:** +- Each task = 1-4 hours of focused work +- Higher `task_order` = higher priority +- Include meaningful descriptions and feature assignments + +## Code Operations with Serena MCP + +### Search Code (ALWAYS use these first) +- **Find symbols**: `serena:find_symbol(name_path="ClassName", include_body=true)` +- **Find references**: `serena:find_referencing_symbols(name_path="methodName")` +- **Pattern search**: `serena:search_for_pattern(substring_pattern="TODO|FIXME")` +- **Symbol overview**: `serena:get_symbols_overview(relative_path="src/")` + +### Edit Code (PREFER symbol-based operations) +- **Replace function/class**: `serena:replace_symbol_body(name_path="functionName", body="new code")` +- **Insert before**: `serena:insert_before_symbol(name_path="className", body="imports")` +- **Insert after**: `serena:insert_after_symbol(name_path="methodName", body="new method")` +- **Regex replace**: `serena:replace_regex(regex="old.*pattern", repl="new code")` + +### Serena Project Commands +- **Activate**: `serena:activate_project(project="project-name")` +- **Check onboarding**: `serena:check_onboarding_performed()` +- **Think tools**: Use after searches, before edits, when done + +## Development Iteration Workflow + +### Before Every Coding Session + +**MANDATORY: Always check task status before writing any code:** + +```bash +# Get current project status +archon:manage_task( + action="list", + filter_by="project", + filter_value="[project_id]", + include_closed=false +) + +# Get next priority task +archon:manage_task( + action="list", + filter_by="status", + filter_value="todo", + project_id="[project_id]" +) +``` + +### Task-Specific Research + +**For each task, conduct focused research:** + +```bash +# High-level: Architecture, security, optimization patterns +archon:perform_rag_query( + query="JWT authentication security best practices", + match_count=5 +) + +# Low-level: Specific API usage, syntax, configuration +archon:perform_rag_query( + query="Express.js middleware setup validation", + match_count=3 +) + +# Implementation examples +archon:search_code_examples( + query="Express JWT middleware implementation", + match_count=3 +) +``` + +**Research Scope Examples:** +- **High-level**: "microservices architecture patterns", "database security practices" +- **Low-level**: "Zod schema validation syntax", "Cloudflare Workers KV usage", "PostgreSQL connection pooling" +- **Debugging**: "TypeScript generic constraints error", "npm dependency resolution" + +### Task Execution Protocol + +**1. Get Task Details:** +```bash +archon:manage_task(action="get", task_id="[current_task_id]") +``` + +**2. Update to In-Progress:** +```bash +archon:manage_task( + action="update", + task_id="[current_task_id]", + update_fields={"status": "doing"} +) +``` + +**3. Implement with Research-Driven Approach:** +- Use findings from `search_code_examples` to guide implementation +- Follow patterns discovered in `perform_rag_query` results +- Reference project features with `get_project_features` when needed +- **Use Serena MCP for ALL code search/edit operations** + +**4. Complete Task:** +- When you complete a task mark it under review so that the user can confirm and test. +```bash +archon:manage_task( + action="update", + task_id="[current_task_id]", + update_fields={"status": "review"} +) +``` + +## Knowledge Management Integration + +### Documentation Queries + +**Use RAG for both high-level and specific technical guidance:** + +```bash +# Architecture & patterns +archon:perform_rag_query(query="microservices vs monolith pros cons", match_count=5) + +# Security considerations +archon:perform_rag_query(query="OAuth 2.0 PKCE flow implementation", match_count=3) + +# Specific API usage +archon:perform_rag_query(query="React useEffect cleanup function", match_count=2) + +# Configuration & setup +archon:perform_rag_query(query="Docker multi-stage build Node.js", match_count=3) + +# Debugging & troubleshooting +archon:perform_rag_query(query="TypeScript generic type inference error", match_count=2) +``` + +### Code Example Integration + +**Search for implementation patterns before coding:** + +```bash +# Before implementing any feature +archon:search_code_examples(query="React custom hook data fetching", match_count=3) + +# For specific technical challenges +archon:search_code_examples(query="PostgreSQL connection pooling Node.js", match_count=2) +``` + +**Usage Guidelines:** +- Search for examples before implementing from scratch +- Adapt patterns to project-specific requirements +- Use for both complex features and simple API usage +- Validate examples against current best practices + +## Progress Tracking & Status Updates + +### Daily Development Routine + +**Start of each coding session:** + +1. Check available sources: `archon:get_available_sources()` +2. Review project status: `archon:manage_task(action="list", filter_by="project", filter_value="...")` +3. Identify next priority task: Find highest `task_order` in "todo" status +4. Conduct task-specific research +5. Begin implementation + +**End of each coding session:** + +1. Update completed tasks to "done" status +2. Update in-progress tasks with current status +3. Create new tasks if scope becomes clearer +4. Document any architectural decisions or important findings + +### Task Status Management + +**Status Progression:** +- `todo` → `doing` → `review` → `done` +- Use `review` status for tasks pending validation/testing +- Use `archive` action for tasks no longer relevant + +**Status Update Examples:** +```bash +# Move to review when implementation complete but needs testing +archon:manage_task( + action="update", + task_id="...", + update_fields={"status": "review"} +) + +# Complete task after review passes +archon:manage_task( + action="update", + task_id="...", + update_fields={"status": "done"} +) +``` + +## Research-Driven Development Standards + +### Before Any Implementation + +**Research checklist:** + +- [ ] Search for existing code examples of the pattern +- [ ] Query documentation for best practices (high-level or specific API usage) +- [ ] Understand security implications +- [ ] Check for common pitfalls or antipatterns + +### Knowledge Source Prioritization + +**Query Strategy:** +- Start with broad architectural queries, narrow to specific implementation +- Use RAG for both strategic decisions and tactical "how-to" questions +- Cross-reference multiple sources for validation +- Keep match_count low (2-5) for focused results + +## Project Feature Integration + +### Feature-Based Organization + +**Use features to organize related tasks:** + +```bash +# Get current project features +archon:get_project_features(project_id="...") + +# Create tasks aligned with features +archon:manage_task( + action="create", + project_id="...", + title="...", + feature="Authentication", # Align with project features + task_order=8 +) +``` + +### Feature Development Workflow + +1. **Feature Planning**: Create feature-specific tasks +2. **Feature Research**: Query for feature-specific patterns +3. **Feature Implementation**: Complete tasks in feature groups +4. **Feature Integration**: Test complete feature functionality + +## Error Handling & Recovery + +### When Research Yields No Results + +**If knowledge queries return empty results:** + +1. Broaden search terms and try again +2. Search for related concepts or technologies +3. Document the knowledge gap for future learning +4. Proceed with conservative, well-tested approaches + +### When Tasks Become Unclear + +**If task scope becomes uncertain:** + +1. Break down into smaller, clearer subtasks +2. Research the specific unclear aspects +3. Update task descriptions with new understanding +4. Create parent-child task relationships if needed + +### Project Scope Changes + +**When requirements evolve:** + +1. Create new tasks for additional scope +2. Update existing task priorities (`task_order`) +3. Archive tasks that are no longer relevant +4. Document scope changes in task descriptions + +## Quality Assurance Integration + +### Research Validation + +**Always validate research findings:** +- Cross-reference multiple sources +- Verify recency of information +- Test applicability to current project context +- Document assumptions and limitations + +### Task Completion Criteria + +**Every task must meet these criteria before marking "done":** +- [ ] Implementation follows researched best practices +- [ ] Code follows project style guidelines +- [ ] **All code changes made with Serena MCP tools** +- [ ] Security considerations addressed +- [ ] Basic functionality tested +- [ ] Documentation updated if needed +# important-instruction-reminders +Do what has been asked; nothing more, nothing less. +ALWAYS use Serena MCP for code operations, traditional tools as fallback only. +ALWAYS use Archon MCP for task management and documentation research. \ No newline at end of file diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 00000000..d71ef098 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,282 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## Alpha Development Guidelines + +**Local-only deployment** - each user runs their own instance. + +### Core Principles + +- **No backwards compatibility** - remove deprecated code immediately +- **Detailed errors over graceful failures** - we want to identify and fix issues fast +- **Break things to improve them** - alpha is for rapid iteration + +### Error Handling + +**Core Principle**: In alpha, we need to intelligently decide when to fail hard and fast to quickly address issues, and when to allow processes to complete in critical services despite failures. Read below carefully and make intelligent decisions on a case-by-case basis. + +#### When to Fail Fast and Loud (Let it Crash!) + +These errors should stop execution and bubble up immediately: + +- **Service startup failures** - If credentials, database, or any service can't initialize, the system should crash with a clear error +- **Missing configuration** - Missing environment variables or invalid settings should stop the system +- **Database connection failures** - Don't hide connection issues, expose them +- **Authentication/authorization failures** - Security errors must be visible and halt the operation +- **Data corruption or validation errors** - Never silently accept bad data, Pydantic should raise +- **Critical dependencies unavailable** - If a required service is down, fail immediately +- **Invalid data that would corrupt state** - Never store zero embeddings, null foreign keys, or malformed JSON + +#### When to Complete but Log Detailed Errors + +These operations should continue but track and report failures clearly: + +- **Batch processing** - When crawling websites or processing documents, complete what you can and report detailed failures for each item +- **Background tasks** - Embedding generation, async jobs should finish the queue but log failures +- **WebSocket events** - Don't crash on a single event failure, log it and continue serving other clients +- **Optional features** - If projects/tasks are disabled, log and skip rather than crash +- **External API calls** - Retry with exponential backoff, then fail with a clear message about what service failed and why + +#### Critical Nuance: Never Accept Corrupted Data + +When a process should continue despite failures, it must **skip the failed item entirely** rather than storing corrupted data: + +**❌ WRONG - Silent Corruption:** + +```python +try: + embedding = create_embedding(text) +except Exception as e: + embedding = [0.0] * 1536 # NEVER DO THIS - corrupts database + store_document(doc, embedding) +``` + +**✅ CORRECT - Skip Failed Items:** + +```python +try: + embedding = create_embedding(text) + store_document(doc, embedding) # Only store on success +except Exception as e: + failed_items.append({'doc': doc, 'error': str(e)}) + logger.error(f"Skipping document {doc.id}: {e}") + # Continue with next document, don't store anything +``` + +**✅ CORRECT - Batch Processing with Failure Tracking:** + +```python +def process_batch(items): + results = {'succeeded': [], 'failed': []} + + for item in items: + try: + result = process_item(item) + results['succeeded'].append(result) + except Exception as e: + results['failed'].append({ + 'item': item, + 'error': str(e), + 'traceback': traceback.format_exc() + }) + logger.error(f"Failed to process {item.id}: {e}") + + # Always return both successes and failures + return results +``` + +#### Error Message Guidelines + +- Include context about what was being attempted when the error occurred +- Preserve full stack traces with `exc_info=True` in Python logging +- Use specific exception types, not generic Exception catching +- Include relevant IDs, URLs, or data that helps debug the issue +- Never return None/null to indicate failure - raise an exception with details +- For batch operations, always report both success count and detailed failure list + +### Code Quality + +- Remove dead code immediately rather than maintaining it - no backward compatibility or legacy functions +- Prioritize functionality over production-ready patterns +- Focus on user experience and feature completeness +- When updating code, don't reference what is changing (avoid keywords like LEGACY, CHANGED, REMOVED), instead focus on comments that document just the functionality of the code + +## Architecture Overview + +Archon V2 Alpha is a microservices-based knowledge management system with MCP (Model Context Protocol) integration: + +- **Frontend (port 3737)**: React + TypeScript + Vite + TailwindCSS +- **Main Server (port 8181)**: FastAPI + Socket.IO for real-time updates +- **MCP Server (port 8051)**: Lightweight HTTP-based MCP protocol server +- **Agents Service (port 8052)**: PydanticAI agents for AI/ML operations +- **Database**: Supabase (PostgreSQL + pgvector for embeddings) + +## Development Commands + +### Frontend (archon-ui-main/) + +```bash +npm run dev # Start development server on port 3737 +npm run build # Build for production +npm run lint # Run ESLint +npm run test # Run Vitest tests +npm run test:coverage # Run tests with coverage report +``` + +### Backend (python/) + +```bash +# Using uv package manager +uv sync # Install/update dependencies +uv run pytest # Run tests +uv run python -m src.server.main # Run server locally + +# With Docker +docker-compose up --build -d # Start all services +docker-compose logs -f # View logs +docker-compose restart # Restart services +``` + +### Testing + +```bash +# Frontend tests (from archon-ui-main/) +npm run test:coverage:stream # Run with streaming output +npm run test:ui # Run with Vitest UI + +# Backend tests (from python/) +uv run pytest tests/test_api_essentials.py -v +uv run pytest tests/test_service_integration.py -v +``` + +## Key API Endpoints + +### Knowledge Base + +- `POST /api/knowledge/crawl` - Crawl a website +- `POST /api/knowledge/upload` - Upload documents (PDF, DOCX, MD) +- `GET /api/knowledge/items` - List knowledge items +- `POST /api/knowledge/search` - RAG search + +### MCP Integration + +- `GET /api/mcp/health` - MCP server status +- `POST /api/mcp/tools/{tool_name}` - Execute MCP tool +- `GET /api/mcp/tools` - List available tools + +### Projects & Tasks (when enabled) + +- `GET /api/projects` - List projects +- `POST /api/projects` - Create project +- `GET /api/projects/{id}/tasks` - Get project tasks +- `POST /api/projects/{id}/tasks` - Create task + +## Socket.IO Events + +Real-time updates via Socket.IO on port 8181: + +- `crawl_progress` - Website crawling progress +- `project_creation_progress` - Project setup progress +- `task_update` - Task status changes +- `knowledge_update` - Knowledge base changes + +## Environment Variables + +Required in `.env`: + +```bash +SUPABASE_URL=https://your-project.supabase.co +SUPABASE_SERVICE_KEY=your-service-key-here +``` + +Optional: + +```bash +OPENAI_API_KEY=your-openai-key # Can be set via UI +LOGFIRE_TOKEN=your-logfire-token # For observability +LOG_LEVEL=INFO # DEBUG, INFO, WARNING, ERROR +``` + +## File Organization + +### Frontend Structure + +- `src/components/` - Reusable UI components +- `src/pages/` - Main application pages +- `src/services/` - API communication and business logic +- `src/hooks/` - Custom React hooks +- `src/contexts/` - React context providers + +### Backend Structure + +- `src/server/` - Main FastAPI application +- `src/server/api_routes/` - API route handlers +- `src/server/services/` - Business logic services +- `src/mcp/` - MCP server implementation +- `src/agents/` - PydanticAI agent implementations + +## Database Schema + +Key tables in Supabase: + +- `sources` - Crawled websites and uploaded documents +- `documents` - Processed document chunks with embeddings +- `projects` - Project management (optional feature) +- `tasks` - Task tracking linked to projects +- `code_examples` - Extracted code snippets + +## Common Development Tasks + +### Add a new API endpoint + +1. Create route handler in `python/src/server/api_routes/` +2. Add service logic in `python/src/server/services/` +3. Include router in `python/src/server/main.py` +4. Update frontend service in `archon-ui-main/src/services/` + +### Add a new UI component + +1. Create component in `archon-ui-main/src/components/` +2. Add to page in `archon-ui-main/src/pages/` +3. Include any new API calls in services +4. Add tests in `archon-ui-main/test/` + +### Debug MCP connection issues + +1. Check MCP health: `curl http://localhost:8051/health` +2. View MCP logs: `docker-compose logs archon-mcp` +3. Test tool execution via UI MCP page +4. Verify Supabase connection and credentials + +## Code Quality Standards + +We enforce code quality through automated linting and type checking: + +- **Python 3.12** with 120 character line length +- **Ruff** for linting - checks for errors, warnings, unused imports, and code style +- **Mypy** for type checking - ensures type safety across the codebase +- **Auto-formatting** on save in IDEs to maintain consistent style +- Run `uv run ruff check` and `uv run mypy src/` locally before committing + +## MCP Tools Available + +When connected to Cursor/Windsurf: + +- `archon:perform_rag_query` - Search knowledge base +- `archon:search_code_examples` - Find code snippets +- `archon:manage_project` - Project operations +- `archon:manage_task` - Task management +- `archon:get_available_sources` - List knowledge sources + +## Important Notes + +- Projects feature is optional - toggle in Settings UI +- All services communicate via HTTP, not gRPC +- Socket.IO handles all real-time updates +- Frontend uses Vite proxy for API calls in development +- Python backend uses `uv` for dependency management +- Docker Compose handles service orchestration + +ADDITIONAL CONTEXT FOR SPECIFICALLY HOW TO USE ARCHON ITSELF: +@CLAUDE-ARCHON.md diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..180d0410 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,458 @@ +# Contributing to Archon + +Help us build the definitive knowledge and task management engine for AI coding assistants! This guide shows you how to contribute new features, bug fixes, and improvements to the Archon platform. + +## 🎯 What is Archon? + +Archon is a **microservices-based engine** that provides AI coding assistants with access to your documentation, project knowledge, and task management through the Model Context Protocol (MCP). The platform consists of four main services that work together to deliver comprehensive knowledge management and project automation. + +## 🏗️ Architecture Overview + +### Microservices Structure + +Archon uses true microservices architecture with clear separation of concerns: + +``` +┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ +│ Frontend UI │ │ Server (API) │ │ MCP Server │ │ Agents Service │ +│ │ │ │ │ │ │ │ +│ React + Vite │◄──►│ FastAPI + │◄──►│ Lightweight │◄──►│ PydanticAI │ +│ Port 3737 │ │ SocketIO │ │ HTTP Wrapper │ │ Port 8052 │ +│ │ │ Port 8181 │ │ Port 8051 │ │ │ +└─────────────────┘ └─────────────────┘ └─────────────────┘ └─────────────────┘ + │ │ │ │ + └────────────────────────┼────────────────────────┼────────────────────────┘ + │ │ + ┌─────────────────┐ │ + │ Database │ │ + │ │ │ + │ Supabase │◄──────────────┘ + │ PostgreSQL │ + │ PGVector │ + └─────────────────┘ +``` + +### Service Responsibilities + +| Service | Location | Purpose | Key Features | +| -------------- | -------------------- | ---------------------------- | -------------------------------------------------------------------------- | +| **Frontend** | `archon-ui-main/` | Web interface and dashboard | React, TypeScript, TailwindCSS, Socket.IO client | +| **Server** | `python/src/server/` | Core business logic and APIs | FastAPI, service layer, Socket.IO broadcasts, all LLM/embedding operations | +| **MCP Server** | `python/src/mcp/` | MCP protocol interface | Lightweight HTTP wrapper, 14 MCP tools, session management | +| **Agents** | `python/src/agents/` | PydanticAI agent hosting | Document and RAG agents, streaming responses | + +### Communication Patterns + +- **HTTP-based**: All inter-service communication uses HTTP APIs +- **Socket.IO**: Real-time updates from Server to Frontend +- **MCP Protocol**: AI clients connect to MCP Server via SSE or stdio +- **No Direct Imports**: Services are truly independent with no shared code dependencies + +## 🚀 Quick Start for Contributors + +### Prerequisites + +- [Docker Desktop](https://www.docker.com/products/docker-desktop/) +- [Supabase](https://supabase.com/) account (free tier works) +- [OpenAI API key](https://platform.openai.com/api-keys) or alternative LLM provider +- Basic knowledge of Python (FastAPI) and TypeScript (React) + +### Initial Setup + +After forking the repository, you'll need to: + +1. **Environment Configuration** + + ```bash + cp .env.example .env + # Edit .env with your Supabase credentials + ``` + +2. **Database Setup** + - Run `migration/complete_setup.sql` in your Supabase SQL Editor + +3. **Start Development Environment** + + ```bash + docker-compose up --build -d + ``` + +4. **Configure API Keys** + - Open http://localhost:3737 + - Go to Settings → Add your OpenAI API key + +## 🔄 Contribution Process + +### 1. Choose Your Contribution + +**Bug Fixes:** + +- Check existing issues for reported bugs +- Create detailed reproduction steps +- Fix in smallest possible scope + +**New Features:** + +- Optional: Open an issue first to discuss the feature +- Get feedback on approach and architecture (from maintainers and/or AI coding assistants) +- Break large features into smaller PRs + +**Documentation:** + +- Look for gaps in current documentation +- Focus on user-facing improvements +- Update both code docs and user guides + +### 2. Development Process + +1. **Fork the Repository** + - Go to https://github.com/coleam00/archon + - Click the "Fork" button in the top right corner + - This creates your own copy of the repository + + ```bash + # Clone your fork (replace 'your-username' with your GitHub username) + git clone https://github.com/your-username/archon.git + cd archon + + # Add upstream remote to sync with main repository later + git remote add upstream https://github.com/coleam00/archon.git + ``` + +2. **🤖 AI Coding Assistant Setup** + + **IMPORTANT**: If you're using AI coding assistants to help contribute to Archon, set up our global rules for optimal results. + - **Claude Code**: ✅ Already configured! The `CLAUDE.md` file is automatically used + - **Cursor**: Copy `CLAUDE.md` content to a new `.cursorrules` file in the project root + - **Windsurf**: Copy `CLAUDE.md` content to a new `.windsurfrules` file in the project root + - **Other assistants**: Copy `CLAUDE.md` content to your assistant's global rules/context file + + These rules contain essential context about Archon's architecture, service patterns, MCP implementation, and development best practices. Using them will help your AI assistant follow our conventions and implement features correctly. + +3. **Create Feature Branch** + + **Best Practice**: Always create a feature branch rather than working directly on main. This keeps your main branch clean and makes it easier to sync with the upstream repository. + + ```bash + git checkout -b feature/your-feature-name + # or + git checkout -b fix/bug-description + ``` + +4. **Make Your Changes** + - Follow the service architecture patterns + - Add tests for new functionality + - Update documentation as needed + +5. **Verify Your Changes** + - Run full test suite + - Test manually via Docker environment + - Verify no regressions in existing features + +### 3. Submit Pull Request + +1. **Push to Your Fork** + + ```bash + # First time pushing this branch + git push -u origin feature/your-feature-name + + # For subsequent pushes to the same branch + git push + ``` + +2. **Create Pull Request via GitHub UI** + - Go to your fork on GitHub (https://github.com/your-username/archon) + - Click "Contribute" then "Open pull request" + - GitHub will automatically detect your branch and show a comparison + - The PR template will be automatically filled in the description + - Review the template and fill out the required sections + - Click "Create pull request" + +3. **Testing Requirements** + + **Before submitting, ensure:** + - [ ] All existing tests pass + - [ ] New tests added for new functionality + - [ ] Manual testing of affected user flows + - [ ] Docker builds succeed for all services + + **Test commands:** + + ```bash + # Backend tests + cd python && python -m pytest + + # Frontend tests + cd archon-ui-main && npm run test + + # Full integration test + docker-compose up --build -d + # Test via UI at http://localhost:3737 + ``` + +4. **Review Process** + - Automated tests will run on your PR + - Maintainers will review code and architecture + - Address feedback and iterate as needed + +## 📋 Contribution Areas + +### 🔧 Backend Services (Python) + +**When to contribute:** + +- Adding new API endpoints or business logic +- Implementing new MCP tools +- Creating new service classes or utilities +- Improving crawling, embedding, or search functionality (everything for RAG) + +**Key locations:** + +- **Service Layer**: `python/src/server/services/` - Core business logic organized by domain +- **API Endpoints**: `python/src/server/api_routes/` - REST API route handlers +- **MCP Tools**: `python/src/mcp/modules/` - MCP protocol implementations +- **Agents**: `python/src/agents/` - PydanticAI agent implementations + +**Development patterns:** + +- Services use dependency injection with `supabase_client` parameter +- Use async/await for I/O operations, sync for pure logic +- Follow service → API → MCP layer separation + +### 🎨 Frontend (React/TypeScript) + +**When to contribute:** + +- Adding new UI components or pages +- Implementing real-time features with Socket.IO +- Creating new service integrations +- Improving user experience and accessibility + +**Key locations:** + +- **Components**: `archon-ui-main/src/components/` - Reusable UI components organized by feature +- **Pages**: `archon-ui-main/src/pages/` - Main application routes +- **Services**: `archon-ui-main/src/services/` - API communication and business logic +- **Contexts**: `archon-ui-main/src/contexts/` - React context providers for global state + +**Development patterns:** + +- Context-based state management (no Redux) +- Service layer abstraction for API calls +- Socket.IO for real-time updates +- TailwindCSS for styling with custom design system + +### 🐳 Infrastructure (Docker/DevOps) + +**When to contribute:** + +- Optimizing container builds or sizes +- Improving service orchestration +- Adding new environment configurations +- Enhancing health checks and monitoring + +**Key locations:** + +- **Docker**: `python/Dockerfile.*` - Service-specific containers +- **Compose**: `docker-compose.yml` - Service orchestration +- **Config**: `.env.example` - Environment variable documentation + +### 📚 Documentation + +**When to contribute:** + +- Adding API documentation +- Creating deployment guides +- Writing feature tutorials +- Improving architecture explanations + +**Key locations:** + +- **Docs Site**: `docs/docs/` - Docusaurus-based documentation +- **API Docs**: Auto-generated from FastAPI endpoints +- **README**: Main project documentation + +## 🛠️ Development Workflows + +### Backend Development (Python) + +1. **Adding a New Service** + + ```bash + # Create service class in appropriate domain + python/src/server/services/your_domain/your_service.py + + # Add API endpoints + python/src/server/api_routes/your_api.py + + # Optional: Add MCP tools + python/src/mcp/modules/your_module.py + ``` + +2. **Testing Your Changes** + + ```bash + # Run Python tests + cd python && python -m pytest tests/ + + # Run specific test categories + python -m pytest -m unit # Unit tests only + python -m pytest -m integration # Integration tests only + ``` + +3. **Code Quality** + ```bash + # We encourage you to use linters for all code + # Follow service patterns from existing code + ``` + +### Frontend Development (React) + +1. **Adding a New Component** + + ```bash + # Create in appropriate category + archon-ui-main/src/components/your-category/YourComponent.tsx + + # Add to appropriate page or parent component + archon-ui-main/src/pages/YourPage.tsx + ``` + +2. **Testing Your Changes** + + ```bash + # Run frontend tests + cd archon-ui-main && npm run test + + # Run with coverage + npm run test:coverage + + # Run in UI mode + npm run test:ui + ``` + +3. **Development Server** + ```bash + # For faster iteration, run frontend locally + cd archon-ui-main && npm run dev + # Still connects to Docker backend services + ``` + +## ✅ Quality Standards + +### Code Requirements + +1. **Backend (Python)** + - Follow existing service patterns and dependency injection + - Use type hints and proper async/await patterns + - Include unit tests for new business logic + - Update API documentation if adding endpoints + +2. **Frontend (TypeScript)** + - Use TypeScript with proper typing + - Follow existing component patterns and context usage + - Include component tests for new UI features + - Ensure responsive design and accessibility + +3. **Documentation** + - Update relevant docs for user-facing changes + - Include inline code documentation for complex logic + - Add migration notes for breaking changes + +### Performance Considerations + +- **Service Layer**: Keep business logic efficient, use async for I/O +- **API Responses**: Consider pagination for large datasets +- **Real-time Updates**: Use Socket.IO rooms appropriately +- **Database**: Consider indexes for new query patterns + +## 🏛️ Architectural Guidelines + +### Service Design Principles + +1. **Single Responsibility**: Each service has a focused purpose +2. **HTTP Communication**: No direct imports between services +3. **Database Centralization**: Supabase as single source of truth +4. **Real-time Updates**: Socket.IO for live collaboration features + +### Adding New MCP Tools + +**Tool Pattern:** + +```python +@mcp.tool() +async def your_new_tool(ctx: Context, param: str) -> str: + """ + Tool description for AI clients. + + Args: + param: Description of parameter + + Returns: + JSON string with results + """ + async with httpx.AsyncClient() as client: + response = await client.post(f"{API_URL}/api/your-endpoint", + json={"param": param}) + return response.json() +``` + +### Adding New Service Classes + +**Service Pattern:** + +```python +class YourService: + def __init__(self, supabase_client=None): + self.supabase_client = supabase_client or get_supabase_client() + + def your_operation(self, param: str) -> Tuple[bool, Dict[str, Any]]: + try: + # Business logic here + result = self.supabase_client.table("table").insert(data).execute() + return True, {"data": result.data} + except Exception as e: + logger.error(f"Error in operation: {e}") + return False, {"error": str(e)} +``` + +## 🤝 Community Standards + +### Communication Guidelines + +- **Be Constructive**: Focus on improving the codebase and user experience +- **Be Specific**: Provide detailed examples and reproduction steps +- **Be Collaborative**: Welcome diverse perspectives and approaches +- **Be Patient**: Allow time for review and discussion + +### Code Review Process + +**As a Contributor:** + +- Write clear PR descriptions +- Respond promptly to review feedback +- Test your changes thoroughly + +**As a Reviewer:** + +- Focus on architecture, correctness, and user impact +- Provide specific, actionable feedback +- Acknowledge good practices and improvements + +## 📞 Getting Help + +- **GitHub Issues**: For bugs, feature requests, and questions +- **Architecture Questions**: Use the GitHub discussions + +## 🎖️ Recognition + +Contributors receive: + +- **Attribution**: Recognition in release notes and documentation +- **Maintainer Track**: Path to maintainer role for consistent contributors +- **Community Impact**: Help improve AI development workflows for thousands of users + +--- + +**Ready to contribute?** Start by exploring the codebase, reading the architecture documentation, and finding an area that interests you. Every contribution makes Archon better for the entire AI development community. diff --git a/LICENSE b/LICENSE index 3bd1e8b0..ac60f9e5 100644 --- a/LICENSE +++ b/LICENSE @@ -1,21 +1,39 @@ -MIT License +Archon Community License (ACL) v1.2 -Copyright (c) 2025 oTTomator and Archon contributors +Copyright © 2025 The Archon Project Community +Maintained by the [Dynamous community](https://dynamous.ai) -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: +Archon is **free, open, and hackable.** Run it, fork it, and share it — no strings attached — except one: **don’t sell it as‑a‑service without talking to us first.** -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. +--- -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. \ No newline at end of file +### 1  You Can + +* **Run** Archon anywhere, for anything, for free. +* **Study & tweak** the code, add features, change the UI—go wild. +* **Share** your changes or forks publicly (must keep this license in place). + +### 2  Please Do + +* Keep this license notice and a link back to the main repo. +* Mark clearly if you’ve modified Archon. + +### 3  You Can’t (Without Permission) + +* Charge money for Archon itself—e.g. paid downloads, paywalled builds, or subscriptions. +* Offer Archon (original or modified) as a hosted or managed service that others can sign up for. +* Bundle Archon into another paid product. + +> **Consulting/support is totally fine.** Get paid to install, customise, or teach Archon as long as your clients don’t get a hosted Archon instance run by you. + +### 4  No Warranty + +Archon comes **as‑is** with **no warranty** of any kind. + +### 5  Limitation of Liability + +We’re **not liable** for any damages resulting from using Archon. + +### 6  Breaking the Rules + +If you violate these terms and don’t fix it within **30 days** after we let you know, your rights under this license end. diff --git a/PRPs/templates/prp-base.md b/PRPs/templates/prp-base.md new file mode 100644 index 00000000..1064f4a6 --- /dev/null +++ b/PRPs/templates/prp-base.md @@ -0,0 +1,316 @@ +name: "Base PRP Template v3 - Implementation-Focused with Precision Standards" +description: | + +--- + +## Goal + +**Feature Goal**: [Specific, measurable end state of what needs to be built] + +**Deliverable**: [Concrete artifact - API endpoint, service class, integration, etc.] + +**Success Definition**: [How you'll know this is complete and working] + +## User Persona (if applicable) + +**Target User**: [Specific user type - developer, end user, admin, etc.] + +**Use Case**: [Primary scenario when this feature will be used] + +**User Journey**: [Step-by-step flow of how user interacts with this feature] + +**Pain Points Addressed**: [Specific user frustrations this feature solves] + +## Why + +- [Business value and user impact] +- [Integration with existing features] +- [Problems this solves and for whom] + +## What + +[User-visible behavior and technical requirements] + +### Success Criteria + +- [ ] [Specific measurable outcomes] + +## All Needed Context + +### Context Completeness Check + +_Before writing this PRP, validate: "If someone knew nothing about this codebase, would they have everything needed to implement this successfully?"_ + +### Documentation & References + +```yaml +# MUST READ - Include these in your context window +- url: [Complete URL with section anchor] + why: [Specific methods/concepts needed for implementation] + critical: [Key insights that prevent common implementation errors] + +- file: [exact/path/to/pattern/file.py] + why: [Specific pattern to follow - class structure, error handling, etc.] + pattern: [Brief description of what pattern to extract] + gotcha: [Known constraints or limitations to avoid] + +- docfile: [PRPs/ai_docs/domain_specific.md] + why: [Custom documentation for complex library/integration patterns] + section: [Specific section if document is large] +``` + +### Current Codebase tree (run `tree` in the root of the project) to get an overview of the codebase + +```bash + +``` + +### Desired Codebase tree with files to be added and responsibility of file + +```bash + +``` + +### Known Gotchas of our codebase & Library Quirks + +```python +# CRITICAL: [Library name] requires [specific setup] +# Example: FastAPI requires async functions for endpoints +# Example: This ORM doesn't support batch inserts over 1000 records +``` + +## Implementation Blueprint + +### Data models and structure + +Create the core data models, we ensure type safety and consistency. + +```python +Examples: + - orm models + - pydantic models + - pydantic schemas + - pydantic validators + +``` + +### Implementation Tasks (ordered by dependencies) + +```yaml +Task 1: CREATE src/models/{domain}_models.py + - IMPLEMENT: {SpecificModel}Request, {SpecificModel}Response Pydantic models + - FOLLOW pattern: src/models/existing_model.py (field validation approach) + - NAMING: CamelCase for classes, snake_case for fields + - PLACEMENT: Domain-specific model file in src/models/ + +Task 2: CREATE src/services/{domain}_service.py + - IMPLEMENT: {Domain}Service class with async methods + - FOLLOW pattern: src/services/database_service.py (service structure, error handling) + - NAMING: {Domain}Service class, async def create_*, get_*, update_*, delete_* methods + - DEPENDENCIES: Import models from Task 1 + - PLACEMENT: Service layer in src/services/ + +Task 3: CREATE src/tools/{action}_{resource}.py + - IMPLEMENT: MCP tool wrapper calling service methods + - FOLLOW pattern: src/tools/existing_tool.py (FastMCP tool structure) + - NAMING: snake_case file name, descriptive tool function name + - DEPENDENCIES: Import service from Task 2 + - PLACEMENT: Tool layer in src/tools/ + +Task 4: MODIFY src/main.py or src/server.py + - INTEGRATE: Register new tool with MCP server + - FIND pattern: existing tool registrations + - ADD: Import and register new tool following existing pattern + - PRESERVE: Existing tool registrations and server configuration + +Task 5: CREATE src/services/tests/test_{domain}_service.py + - IMPLEMENT: Unit tests for all service methods (happy path, edge cases, error handling) + - FOLLOW pattern: src/services/tests/test_existing_service.py (fixture usage, assertion patterns) + - NAMING: test_{method}_{scenario} function naming + - COVERAGE: All public methods with positive and negative test cases + - PLACEMENT: Tests alongside the code they test + +Task 6: CREATE src/tools/tests/test_{action}_{resource}.py + - IMPLEMENT: Unit tests for MCP tool functionality + - FOLLOW pattern: src/tools/tests/test_existing_tool.py (MCP tool testing approach) + - MOCK: External service dependencies + - COVERAGE: Tool input validation, success responses, error handling + - PLACEMENT: Tool tests in src/tools/tests/ +``` + +### Implementation Patterns & Key Details + +```python +# Show critical patterns and gotchas - keep concise, focus on non-obvious details + +# Example: Service method pattern +async def {domain}_operation(self, request: {Domain}Request) -> {Domain}Response: + # PATTERN: Input validation first (follow src/services/existing_service.py) + validated = self.validate_request(request) + + # GOTCHA: [Library-specific constraint or requirement] + # PATTERN: Error handling approach (reference existing service pattern) + # CRITICAL: [Non-obvious requirement or configuration detail] + + return {Domain}Response(status="success", data=result) + +# Example: MCP tool pattern +@app.tool() +async def {tool_name}({parameters}) -> str: + # PATTERN: Tool validation and service delegation (see src/tools/existing_tool.py) + # RETURN: JSON string with standardized response format +``` + +### Integration Points + +```yaml +DATABASE: + - migration: "Add column 'feature_enabled' to users table" + - index: "CREATE INDEX idx_feature_lookup ON users(feature_id)" + +CONFIG: + - add to: config/settings.py + - pattern: "FEATURE_TIMEOUT = int(os.getenv('FEATURE_TIMEOUT', '30'))" + +ROUTES: + - add to: src/api/routes.py + - pattern: "router.include_router(feature_router, prefix='/feature')" +``` + +## Validation Loop + +### Level 1: Syntax & Style (Immediate Feedback) + +```bash +# Run after each file creation - fix before proceeding +ruff check src/{new_files} --fix # Auto-format and fix linting issues +mypy src/{new_files} # Type checking with specific files +ruff format src/{new_files} # Ensure consistent formatting + +# Project-wide validation +ruff check src/ --fix +mypy src/ +ruff format src/ + +# Expected: Zero errors. If errors exist, READ output and fix before proceeding. +``` + +### Level 2: Unit Tests (Component Validation) + +```bash +# Test each component as it's created +uv run pytest src/services/tests/test_{domain}_service.py -v +uv run pytest src/tools/tests/test_{action}_{resource}.py -v + +# Full test suite for affected areas +uv run pytest src/services/tests/ -v +uv run pytest src/tools/tests/ -v + +# Coverage validation (if coverage tools available) +uv run pytest src/ --cov=src --cov-report=term-missing + +# Expected: All tests pass. If failing, debug root cause and fix implementation. +``` + +### Level 3: Integration Testing (System Validation) + +```bash +# Service startup validation +uv run python main.py & +sleep 3 # Allow startup time + +# Health check validation +curl -f http://localhost:8000/health || echo "Service health check failed" + +# Feature-specific endpoint testing +curl -X POST http://localhost:8000/{your_endpoint} \ + -H "Content-Type: application/json" \ + -d '{"test": "data"}' \ + | jq . # Pretty print JSON response + +# MCP server validation (if MCP-based) +# Test MCP tool functionality +echo '{"method": "tools/call", "params": {"name": "{tool_name}", "arguments": {}}}' | \ + uv run python -m src.main + +# Database validation (if database integration) +# Verify database schema, connections, migrations +psql $DATABASE_URL -c "SELECT 1;" || echo "Database connection failed" + +# Expected: All integrations working, proper responses, no connection errors +``` + +### Level 4: Creative & Domain-Specific Validation + +```bash +# MCP Server Validation Examples: + +# Playwright MCP (for web interfaces) +playwright-mcp --url http://localhost:8000 --test-user-journey + +# Docker MCP (for containerized services) +docker-mcp --build --test --cleanup + +# Database MCP (for data operations) +database-mcp --validate-schema --test-queries --check-performance + +# Custom Business Logic Validation +# [Add domain-specific validation commands here] + +# Performance Testing (if performance requirements) +ab -n 100 -c 10 http://localhost:8000/{endpoint} + +# Security Scanning (if security requirements) +bandit -r src/ + +# Load Testing (if scalability requirements) +# wrk -t12 -c400 -d30s http://localhost:8000/{endpoint} + +# API Documentation Validation (if API endpoints) +# swagger-codegen validate -i openapi.json + +# Expected: All creative validations pass, performance meets requirements +``` + +## Final Validation Checklist + +### Technical Validation + +- [ ] All 4 validation levels completed successfully +- [ ] All tests pass: `uv run pytest src/ -v` +- [ ] No linting errors: `uv run ruff check src/` +- [ ] No type errors: `uv run mypy src/` +- [ ] No formatting issues: `uv run ruff format src/ --check` + +### Feature Validation + +- [ ] All success criteria from "What" section met +- [ ] Manual testing successful: [specific commands from Level 3] +- [ ] Error cases handled gracefully with proper error messages +- [ ] Integration points work as specified +- [ ] User persona requirements satisfied (if applicable) + +### Code Quality Validation + +- [ ] Follows existing codebase patterns and naming conventions +- [ ] File placement matches desired codebase tree structure +- [ ] Anti-patterns avoided (check against Anti-Patterns section) +- [ ] Dependencies properly managed and imported +- [ ] Configuration changes properly integrated + +### Documentation & Deployment + +- [ ] Code is self-documenting with clear variable/function names +- [ ] Logs are informative but not verbose +- [ ] Environment variables documented if new ones added + +--- + +## Anti-Patterns to Avoid + +- ❌ Don't create new patterns when existing ones work +- ❌ Don't skip validation because "it should work" +- ❌ Don't ignore failing tests - fix them +- ❌ Don't use sync functions in async context +- ❌ Don't hardcode values that should be config +- ❌ Don't catch all exceptions - be specific diff --git a/README.md b/README.md index c47b5bd2..a4b568cc 100644 --- a/README.md +++ b/README.md @@ -1,325 +1,290 @@ -# Archon - AI Agent Builder - -Archon Logo - -
- -

🚀 **CURRENT VERSION** 🚀

- -**[ V6 - Tool Library and MCP Integration ]** -*Prebuilt tools, examples, and MCP server integration* - -
- -> **🔄 IMPORTANT UPDATE (March 31st)**: Archon now includes a library of prebuilt tools, examples, and MCP server integrations. Archon can now incorporate these resources when building new agents, significantly enhancing capabilities and reducing hallucinations. Note that the examples/tool library for Archon is just starting out. Please feel free to contribute examples, MCP servers, and prebuilt tools! - -Archon is the world's first **"Agenteer"**, an AI agent designed to autonomously build, refine, and optimize other AI agents. - -It serves both as a practical tool for developers and as an educational framework demonstrating the evolution of agentic systems. -Archon will be developed in iterations, starting with just a simple Pydantic AI agent that can build other Pydantic AI agents, -all the way to a full agentic workflow using LangGraph that can build other AI agents with any framework. -Through its iterative development, Archon showcases the power of planning, feedback loops, and domain-specific knowledge in creating robust AI agents. - -## Important Links - -- The current version of Archon is V6 as mentioned above - see [V6 Documentation](iterations/v6-tool-library-integration/README.md) for details. - -- I **just** created the [Archon community](https://thinktank.ottomator.ai/c/archon/30) forum over in the oTTomator Think Tank! Please post any questions you have there! - -- [GitHub Kanban board](https://github.com/users/coleam00/projects/1) for feature implementation and bug squashing. - -## Vision - -Archon demonstrates three key principles in modern AI development: - -1. **Agentic Reasoning**: Planning, iterative feedback, and self-evaluation overcome the limitations of purely reactive systems -2. **Domain Knowledge Integration**: Seamless embedding of frameworks like Pydantic AI and LangGraph within autonomous workflows -3. **Scalable Architecture**: Modular design supporting maintainability, cost optimization, and ethical AI practices - -## Getting Started with V6 (current version) - -Since V6 is the current version of Archon, all the code for V6 is in both the main directory and `archon/iterations/v6-tool-library-integration` directory. - -Note that the examples/tool library for Archon is just starting out. Please feel free to contribute examples, MCP servers, and prebuilt tools! - -### Prerequisites -- Docker (optional but preferred) -- Python 3.11+ -- Supabase account (for vector database) -- OpenAI/Anthropic/OpenRouter API key or Ollama for local LLMs (note that only OpenAI supports streaming in the Streamlit UI currently) - -### Installation - -#### Option 1: Docker (Recommended) -1. Clone the repository: -```bash -git clone https://github.com/coleam00/archon.git -cd archon -``` - -2. Run the Docker setup script: -```bash -# This will build both containers and start Archon -python run_docker.py -``` - -3. Access the Streamlit UI at http://localhost:8501. - -> **Note:** `run_docker.py` will automatically: -> - Build the MCP server container -> - Build the main Archon container -> - Run Archon with the appropriate port mappings -> - Use environment variables from `.env` file if it exists - -#### Option 2: Local Python Installation -1. Clone the repository: -```bash -git clone https://github.com/coleam00/archon.git -cd archon -``` - -2. Install dependencies: -```bash -python -m venv venv -source venv/bin/activate # On Windows: venv\Scripts\activate -pip install -r requirements.txt -``` - -3. Start the Streamlit UI: -```bash -streamlit run streamlit_ui.py -``` - -4. Access the Streamlit UI at http://localhost:8501. - -### Setup Process - -After installation, follow the guided setup process in the Intro section of the Streamlit UI: -- **Environment**: Configure your API keys and model settings - all stored in `workbench/env_vars.json` -- **Database**: Set up your Supabase vector database -- **Documentation**: Crawl and index the Pydantic AI documentation -- **Agent Service**: Start the agent service for generating agents -- **Chat**: Interact with Archon to create AI agents -- **MCP** (optional): Configure integration with AI IDEs - -The Streamlit interface will guide you through each step with clear instructions and interactive elements. -There are a good amount of steps for the setup but it goes quick! - -### Troubleshooting - -If you encounter any errors when using Archon, please first check the logs in the "Agent Service" tab. -Logs specifically for MCP are also logged to `workbench/logs.txt` (file is automatically created) so please -check there. The goal is for you to have a clear error message before creating a bug here in the GitHub repo - -### Updating Archon - -#### Option 1: Docker -To get the latest updates for Archon when using Docker: - -```bash -# Pull the latest changes from the repository (from within the archon directory) -git pull - -# Rebuild and restart the containers with the latest changes -python run_docker.py -``` - -The `run_docker.py` script will automatically: -- Detect and remove any existing Archon containers (whether running or stopped) -- Rebuild the containers with the latest code -- Start fresh containers with the updated version - -#### Option 2: Local Python Installation -To get the latest updates for Archon when using local Python installation: - -```bash -# Pull the latest changes from the repository (from within the archon directory) -git pull - -# Install any new dependencies -source venv/bin/activate # On Windows: venv\Scripts\activate -pip install -r requirements.txt - -# Restart the Streamlit UI -# (If you're already running it, stop with Ctrl+C first) -streamlit run streamlit_ui.py -``` - -This ensures you're always running the most recent version of Archon with all the latest features and bug fixes. - -## Project Evolution - -### V1: Single-Agent Foundation -- Basic RAG-powered agent using Pydantic AI -- Supabase vector database for documentation storage -- Simple code generation without validation -- [Learn more about V1](iterations/v1-single-agent/README.md) - -### V2: Agentic Workflow (LangGraph) -- Multi-agent system with planning and execution separation -- Reasoning LLM (O3-mini/R1) for architecture planning -- LangGraph for workflow orchestration -- Support for local LLMs via Ollama -- [Learn more about V2](iterations/v2-agentic-workflow/README.md) - -### V3: MCP Support -- Integration with AI IDEs like Windsurf and Cursor -- Automated file creation and dependency management -- FastAPI service for agent generation -- Improved project structure and organization -- [Learn more about V3](iterations/v3-mcp-support/README.md) - -### V4: Streamlit UI Overhaul -- Docker support -- Comprehensive Streamlit interface for managing all aspects of Archon -- Guided setup process with interactive tabs -- Environment variable management through the UI -- Database setup and documentation crawling simplified -- Agent service control and monitoring -- MCP configuration through the UI -- [Learn more about V4](iterations/v4-streamlit-ui-overhaul/README.md) - -### V5: Multi-Agent Coding Workflow -- Specialized refiner agents for different autonomously improving the initially generated agent -- Prompt refiner agent for optimizing system prompts -- Tools refiner agent for specialized tool implementation -- Agent refiner for optimizing agent configuration and dependencies -- Cohesive initial agent structure before specialized refinement -- Improved workflow orchestration with LangGraph -- [Learn more about V5](iterations/v5-parallel-specialized-agents/README.md) - -### V6: Current - Tool Library and MCP Integration -- Comprehensive library of prebuilt tools, examples, and agent templates -- Integration with MCP servers for massive amounts of prebuilt tools -- Advisor agent that recommends relevant tools and examples based on user requirements -- Automatic incorporation of prebuilt components into new agents -- Specialized tools refiner agent also validates and optimizes MCP server configurations -- Streamlined access to external services through MCP integration -- Reduced development time through component reuse -- [Learn more about V6](iterations/v6-tool-library-integration/README.md) - -### Future Iterations -- V7: LangGraph Documentation - Allow Archon to build Pydantic AI AND LangGraph agents -- V8: Self-Feedback Loop - Automated validation and error correction -- V9: Self Agent Execution - Testing and iterating on agents in an isolated environment -- V10: Multi-Framework Support - Framework-agnostic agent generation -- V11: Autonomous Framework Learning - Self-updating framework adapters -- V12: Advanced RAG Techniques - Enhanced retrieval and incorporation of framework documentation -- V13: MCP Agent Marketplace - Integrating Archon agents as MCP servers and publishing to marketplaces - -### Future Integrations -- LangSmith -- MCP marketplace -- Other frameworks besides Pydantic AI -- Other vector databases besides Supabase -- [Local AI package](https://github.com/coleam00/local-ai-packaged) for the agent environment - -## Archon Agents Architecture - -The below diagram from the LangGraph studio is a visual representation of the Archon agent graph. - -Archon Graph - -The flow works like this: - -1. You describe the initial AI agent you want to create -2. The reasoner LLM creates the high level scope for the agent -3. The primary coding agent uses the scope and documentation to create the initial agent -4. Control is passed back to you to either give feedback or ask Archon to 'refine' the agent autonomously -5. If refining autonomously, the specialized agents are invoked to improve the prompt, tools, and agent configuration -6. The primary coding agent is invoked again with either user or specialized agent feedback -7. The process goes back to step 4 until you say the agent is complete -8. Once the agent is complete, Archon spits out the full code again with instructions for running it - -## File Architecture - -### Core Files -- `streamlit_ui.py`: Comprehensive web interface for managing all aspects of Archon -- `graph_service.py`: FastAPI service that handles the agentic workflow -- `run_docker.py`: Script to build and run Archon Docker containers -- `Dockerfile`: Container definition for the main Archon application - -### MCP Integration -- `mcp/`: Model Context Protocol server implementation - - `mcp_server.py`: MCP server script for AI IDE integration - - `Dockerfile`: Container definition for the MCP server - -### Archon Package -- `archon/`: Core agent and workflow implementation - - `archon_graph.py`: LangGraph workflow definition and agent coordination - - `pydantic_ai_coder.py`: Main coding agent with RAG capabilities - - `refiner_agents/`: Specialized agents for refining different aspects of the created agent - - `prompt_refiner_agent.py`: Optimizes system prompts - - `tools_refiner_agent.py`: Specializes in tool implementation - - `agent_refiner_agent.py`: Refines agent configuration and dependencies - - `crawl_pydantic_ai_docs.py`: Documentation crawler and processor - -### Utilities -- `utils/`: Utility functions and database setup - - `utils.py`: Shared utility functions - - `site_pages.sql`: Database setup commands - -### Workbench -- `workbench/`: Created at runtime, files specific to your environment - - `env_vars.json`: Environment variables defined in the UI are stored here (included in .gitignore, file is created automatically) - - `logs.txt`: Low level logs for all Archon processes go here - - `scope.md`: The detailed scope document created by the reasoner model at the start of each Archon execution - -## Deployment Options -- **Docker Containers**: Run Archon in isolated containers with all dependencies included - - Main container: Runs the Streamlit UI and graph service - - MCP container: Provides MCP server functionality for AI IDEs -- **Local Python**: Run directly on your system with a Python virtual environment - -### Docker Architecture -The Docker implementation consists of two containers: -1. **Main Archon Container**: - - Runs the Streamlit UI on port 8501 - - Hosts the Graph Service on port 8100 - - Built from the root Dockerfile - - Handles all agent functionality and user interactions - -2. **MCP Container**: - - Implements the Model Context Protocol for AI IDE integration - - Built from the mcp/Dockerfile - - Communicates with the main container's Graph Service - - Provides a standardized interface for AI IDEs like Windsurf, Cursor, Cline, and Roo Code - -When running with Docker, the `run_docker.py` script automates building and starting both containers with the proper configuration. - -## Database Setup - -The Supabase database uses the following schema: - -```sql -CREATE TABLE site_pages ( - id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), - url TEXT, - chunk_number INTEGER, - title TEXT, - summary TEXT, - content TEXT, - metadata JSONB, - embedding VECTOR(1536) -- Adjust dimensions as necessary (i.e. 768 for nomic-embed-text) -); -``` - -The Streamlit UI provides an interface to set up this database structure automatically. - -## Contributing - -We welcome contributions! Whether you're fixing bugs, adding features, or improving documentation, please feel free to submit a Pull Request. - -## License - -[MIT License](LICENSE) +

+ Archon Main Graphic +

+ +

+ Power up your AI coding assistants with your own custom knowledge base and task management as an MCP server +

+ +

+ Quick Start • + What's Included • + Architecture +

--- -For version-specific details: -- [V1 Documentation](iterations/v1-single-agent/README.md) -- [V2 Documentation](iterations/v2-agentic-workflow/README.md) -- [V3 Documentation](iterations/v3-mcp-support/README.md) -- [V4 Documentation](iterations/v4-streamlit-ui-overhaul/README.md) -- [V5 Documentation](iterations/v5-parallel-specialized-agents/README.md) -- [V6 Documentation](iterations/v6-tool-library-integration/README.md) +## 🎯 What is Archon? + +Archon is the **command center** for AI coding assistants. For you, it's a sleek interface to manage knowledge, context, and tasks for your projects. For the AI coding assistant(s), it's a **Model Context Protocol (MCP) server** to collaborate on and leverage the same knowledge, context, and tasks. Connect Claude Code, Kiro, Cursor, Windsurf, etc. to give your AI agents access to: + +- **Your documentation** (crawled websites, uploaded PDFs/docs) +- **Smart search capabilities** with advanced RAG strategies +- **Task management** integrated with your knowledge base +- **Real-time updates** as you add new content and collaborate with your coding assistant on tasks +- **Much more** coming soon to build Archon into an integrated environment for all context engineering + +This new vision for Archon replaces the old one (the agenteer). Archon used to be the AI agent that builds other agents, and now you can use Archon to do that and more. + +> It doesn't matter what you're building or if it's a new/existing codebase - Archon's knowledge and task management capabilities will improve the output of **any** AI driven coding. + +## 🔗 Important Links + +- **[GitHub Discussions](https://github.com/coleam00/Archon/discussions)** - Join the conversation and share ideas about Archon +- **[Contributing Guide](CONTRIBUTING.md)** - How to get involved and contribute to Archon +- **[Introduction Video](#)** - Coming Soon +- **[Dynamous AI Mastery](https://dynamous.ai)** - The birthplace of Archon - come join a vibrant community of other early AI adopters all helping each other transform their careers and businesses! + +## Quick Start + +### Prerequisites +- [Docker Desktop](https://www.docker.com/products/docker-desktop/) +- [Supabase](https://supabase.com/) account (free tier or local Supabase both work) +- [OpenAI API key](https://platform.openai.com/api-keys) (Gemini and Ollama are supported too!) + +### Setup Instructions + +1. **Clone Repository**: + ```bash + git clone https://github.com/coleam00/archon.git + cd archon + ``` + +2. **Environment Configuration**: + ```bash + cp .env.example .env + # Edit .env and add your Supabase credentials: + # SUPABASE_URL=https://your-project.supabase.co + # SUPABASE_SERVICE_KEY=your-service-key-here + ``` + + NOTE: Supabase introduced a new type of service key but use the legacy one (the longer one). + +3. **Database Setup**: In your [Supabase project](https://supabase.com/dashboard) SQL Editor, copy, paste, and execute the contents of `migration/complete_setup.sql` + +4. **Start Services**: + ```bash + docker-compose up --build -d + ``` + + This starts the core microservices: + - **Server**: Core API and business logic (Port: 8181) + - **MCP Server**: Protocol interface for AI clients (Port: 8051) + - **Agents**: AI operations and streaming (Port: 8052) + - **UI**: Web interface (Port: 3737) + + Ports are configurable in your .env as well! + +5. **Configure API Keys**: + - Open http://localhost:3737 + - Go to **Settings** → Select your LLM/embedding provider and set the API key (OpenAI is default) + - Test by uploading a document or crawling a website + +## 🔄 Database Reset (Start Fresh if Needed) + +If you need to completely reset your database and start fresh: + +
+⚠️ Reset Database - This will delete ALL data for Archon! + +1. **Run Reset Script**: In your Supabase SQL Editor, run the contents of `migration/RESET_DB.sql` + + ⚠️ WARNING: This will delete all Archon specific tables and data! Nothing else will be touched in your DB though. + +2. **Rebuild Database**: After reset, run `migration/complete_setup.sql` to create all the tables again. + +3. **Restart Services**: + ```bash + docker-compose up -d + ``` + +4. **Reconfigure**: + - Select your LLM/embedding provider and set the API key again + - Re-upload any documents or re-crawl websites + +The reset script safely removes all tables, functions, triggers, and policies with proper dependency handling. + +
+ +## ⚡ Quick Test + +Once everything is running: + +1. **Test Web Crawling**: Go to http://localhost:3737 → Knowledge Base → "Crawl Website" → Enter a doc URL (such as https://ai.pydantic.dev/llms-full.txt) +2. **Test Document Upload**: Knowledge Base → Upload a PDF +3. **Test Projects**: Projects → Create a new project and add tasks +4. **Integrate with your AI coding assistant**: MCP Dashboard → Copy connection config for your AI coding assistant + +## 📚 Documentation + +### Core Services + +| Service | Container Name | Default URL | Purpose | +|---------|---------------|-------------|---------| +| **Web Interface** | archon-ui | http://localhost:3737 | Main dashboard and controls | +| **API Service** | archon-server | http://localhost:8181 | Web crawling, document processing | +| **MCP Server** | archon-mcp | http://localhost:8051 | Model Context Protocol interface | +| **Agents Service** | archon-agents | http://localhost:8052 | AI/ML operations, reranking | + +### Optional Documentation Service + +The documentation service is optional. To run it: + +```bash +# Start core services + documentation +docker-compose -f docker-compose.yml -f docker-compose.docs.yml up --build -d +``` + +Then access documentation at: **http://localhost:3838** + +## What's Included + +### 🧠 Knowledge Management +- **Smart Web Crawling**: Automatically detects and crawls entire documentation sites, sitemaps, and individual pages +- **Document Processing**: Upload and process PDFs, Word docs, markdown files, and text documents with intelligent chunking +- **Code Example Extraction**: Automatically identifies and indexes code examples from documentation for enhanced search +- **Vector Search**: Advanced semantic search with contextual embeddings for precise knowledge retrieval +- **Source Management**: Organize knowledge by source, type, and tags for easy filtering + +### 🤖 AI Integration +- **Model Context Protocol (MCP)**: Connect any MCP-compatible client (Claude Code, Cursor, even non-AI coding assistants like Claude Desktop) +- **10 MCP Tools**: Comprehensive yet simple set of tools for RAG queries, task management, and project operations +- **Multi-LLM Support**: Works with OpenAI, Ollama, and Google Gemini models +- **RAG Strategies**: Hybrid search, contextual embeddings, and result reranking for optimal AI responses +- **Real-time Streaming**: Live responses from AI agents with progress tracking + +### 📋 Project & Task Management +- **Hierarchical Projects**: Organize work with projects, features, and tasks in a structured workflow +- **AI-Assisted Creation**: Generate project requirements and tasks using integrated AI agents +- **Document Management**: Version-controlled documents with collaborative editing capabilities +- **Progress Tracking**: Real-time updates and status management across all project activities + +### 🔄 Real-time Collaboration +- **WebSocket Updates**: Live progress tracking for crawling, processing, and AI operations +- **Multi-user Support**: Collaborative knowledge building and project management +- **Background Processing**: Asynchronous operations that don't block the user interface +- **Health Monitoring**: Built-in service health checks and automatic reconnection + +## Architecture + +### Microservices Structure + +Archon uses true microservices architecture with clear separation of concerns: + +``` +┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ +│ Frontend UI │ │ Server (API) │ │ MCP Server │ │ Agents Service │ +│ │ │ │ │ │ │ │ +│ React + Vite │◄──►│ FastAPI + │◄──►│ Lightweight │◄──►│ PydanticAI │ +│ Port 3737 │ │ SocketIO │ │ HTTP Wrapper │ │ Port 8052 │ +│ │ │ Port 8181 │ │ Port 8051 │ │ │ +└─────────────────┘ └─────────────────┘ └─────────────────┘ └─────────────────┘ + │ │ │ │ + └────────────────────────┼────────────────────────┼────────────────────────┘ + │ │ + ┌─────────────────┐ │ + │ Database │ │ + │ │ │ + │ Supabase │◄──────────────┘ + │ PostgreSQL │ + │ PGVector │ + └─────────────────┘ +``` + +### Service Responsibilities + +| Service | Location | Purpose | Key Features | +|---------|----------|---------|--------------| +| **Frontend** | `archon-ui-main/` | Web interface and dashboard | React, TypeScript, TailwindCSS, Socket.IO client | +| **Server** | `python/src/server/` | Core business logic and APIs | FastAPI, service layer, Socket.IO broadcasts, all ML/AI operations | +| **MCP Server** | `python/src/mcp/` | MCP protocol interface | Lightweight HTTP wrapper, 10 MCP tools, session management | +| **Agents** | `python/src/agents/` | PydanticAI agent hosting | Document and RAG agents, streaming responses | + +### Communication Patterns + +- **HTTP-based**: All inter-service communication uses HTTP APIs +- **Socket.IO**: Real-time updates from Server to Frontend +- **MCP Protocol**: AI clients connect to MCP Server via SSE or stdio +- **No Direct Imports**: Services are truly independent with no shared code dependencies + +### Key Architectural Benefits + +- **Lightweight Containers**: Each service contains only required dependencies +- **Independent Scaling**: Services can be scaled independently based on load +- **Development Flexibility**: Teams can work on different services without conflicts +- **Technology Diversity**: Each service uses the best tools for its specific purpose + +## 🔧 Configuring Custom Ports & Hostname + +By default, Archon services run on the following ports: +- **Archon-UI**: 3737 +- **Archon-Server**: 8181 +- **Archon-MCP**: 8051 +- **Archon-Agents**: 8052 +- **Archon-Docs**: 3838 (optional) + +### Changing Ports + +To use custom ports, add these variables to your `.env` file: + +```bash +# Service Ports Configuration +ARCHON_UI_PORT=3737 +ARCHON_SERVER_PORT=8181 +ARCHON_MCP_PORT=8051 +ARCHON_AGENTS_PORT=8052 +ARCHON_DOCS_PORT=3838 +``` + +Example: Running on different ports: +```bash +ARCHON_SERVER_PORT=8282 +ARCHON_MCP_PORT=8151 +``` + +### Configuring Hostname + +By default, Archon uses `localhost` as the hostname. You can configure a custom hostname or IP address by setting the `HOST` variable in your `.env` file: + +```bash +# Hostname Configuration +HOST=localhost # Default + +# Examples of custom hostnames: +HOST=192.168.1.100 # Use specific IP address +HOST=archon.local # Use custom domain +HOST=myserver.com # Use public domain +``` + +This is useful when: +- Running Archon on a different machine and accessing it remotely +- Using a custom domain name for your installation +- Deploying in a network environment where `localhost` isn't accessible + +After changing hostname or ports: +1. Restart Docker containers: `docker-compose down && docker-compose up -d` +2. Access the UI at: `http://${HOST}:${ARCHON_UI_PORT}` +3. Update your AI client configuration with the new hostname and MCP port + +## 🔧 Development + +For development with hot reload: + +```bash +# Backend services (with auto-reload) +docker-compose up archon-server archon-mcp archon-agents --build + +# Frontend (with hot reload) +cd archon-ui-main && npm run dev + +# Documentation (with hot reload) +cd docs && npm start +``` + +**Note**: The backend services are configured with `--reload` flag in their uvicorn commands and have source code mounted as volumes for automatic hot reloading when you make changes. + +## 📄 License + +Archon Community License (ACL) v1.2 - see [LICENSE](LICENSE) file for details. + +**TL;DR**: Archon is free, open, and hackable. Run it, fork it, share it - just don't sell it as-a-service without permission. diff --git a/archon-ui-main/.dockerignore b/archon-ui-main/.dockerignore new file mode 100644 index 00000000..bbae0365 --- /dev/null +++ b/archon-ui-main/.dockerignore @@ -0,0 +1,49 @@ +# Dependencies +node_modules +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# Build output +dist +build + +# Environment variables +.env +.env.local +.env.development.local +.env.test.local +.env.production.local + +# IDE and editor files +.vscode +.idea +*.swp +*.swo +*~ + +# OS generated files +.DS_Store +.DS_Store? +._* +.Spotlight-V100 +.Trashes +ehthumbs.db +Thumbs.db + +# Git +.git +.gitignore + +# Docker +Dockerfile +docker-compose.yml +.dockerignore + +# Tests +coverage +test-results + +# Documentation +README.md +*.md \ No newline at end of file diff --git a/archon-ui-main/.eslintrc.cjs b/archon-ui-main/.eslintrc.cjs new file mode 100644 index 00000000..f7de173a --- /dev/null +++ b/archon-ui-main/.eslintrc.cjs @@ -0,0 +1,33 @@ +module.exports = { + root: true, + env: { browser: true, es2020: true, node: true }, + extends: [ + 'eslint:recommended', + 'plugin:@typescript-eslint/recommended', + 'plugin:react-hooks/recommended', + ], + ignorePatterns: ['dist', '.eslintrc.cjs'], + parser: '@typescript-eslint/parser', + plugins: ['react-refresh'], + rules: { + 'react-refresh/only-export-components': [ + 'warn', + { allowConstantExport: true }, + ], + '@typescript-eslint/no-unused-vars': ['warn', { + argsIgnorePattern: '^_', + varsIgnorePattern: '^_', + ignoreRestSiblings: true + }], + '@typescript-eslint/no-explicit-any': 'off', + '@typescript-eslint/no-empty-function': 'off', + '@typescript-eslint/ban-types': 'off', + '@typescript-eslint/no-non-null-assertion': 'warn', + '@typescript-eslint/no-inferrable-types': 'off', + 'react-hooks/exhaustive-deps': 'warn', + 'no-case-declarations': 'off', + 'no-constant-condition': 'warn', + 'prefer-const': 'warn', + 'no-undef': 'off', + }, +} diff --git a/archon-ui-main/.gitignore b/archon-ui-main/.gitignore new file mode 100644 index 00000000..202ae588 --- /dev/null +++ b/archon-ui-main/.gitignore @@ -0,0 +1,30 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Test coverage +coverage +.nyc_output +public/test-results +test-results.json + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/archon-ui-main/Dockerfile b/archon-ui-main/Dockerfile new file mode 100644 index 00000000..a413744a --- /dev/null +++ b/archon-ui-main/Dockerfile @@ -0,0 +1,25 @@ +# Simple Vite dev server setup +FROM node:18-alpine + +WORKDIR /app + +# Install system dependencies needed for some npm packages +RUN apk add --no-cache python3 make g++ git curl + +# Copy package files +COPY package*.json ./ + +# Install dependencies including dev dependencies for testing +RUN npm ci + +# Create coverage directory with proper permissions +RUN mkdir -p /app/coverage && chmod 777 /app/coverage + +# Copy source code +COPY . . + +# Expose Vite's default port +EXPOSE 5173 + +# Start Vite dev server with host binding for Docker +CMD ["npm", "run", "dev", "--", "--host", "0.0.0.0"] \ No newline at end of file diff --git a/archon-ui-main/README.md b/archon-ui-main/README.md new file mode 100644 index 00000000..b5057c43 --- /dev/null +++ b/archon-ui-main/README.md @@ -0,0 +1,330 @@ +# Archon UI - Knowledge Engine Web Interface + +A modern React-based web interface for the Archon Knowledge Engine MCP Server. Built with TypeScript, Vite, and Tailwind CSS. + +## 🎨 UI Overview + +Archon UI provides a comprehensive dashboard for managing your AI's knowledge base: + +![UI Architecture](https://via.placeholder.com/800x400?text=Archon+UI+Architecture) + +### Key Features + +- **📊 MCP Dashboard**: Monitor and control the MCP server +- **⚙️ Settings Management**: Configure credentials and RAG strategies +- **🕷️ Web Crawling**: Crawl documentation sites and build knowledge base +- **📚 Knowledge Management**: Browse, search, and organize knowledge items +- **💬 Interactive Chat**: Test RAG queries with real-time responses +- **📈 Real-time Updates**: WebSocket-based live updates across the UI + +## 🏗️ Architecture + +### Technology Stack + +- **React 18.3**: Modern React with hooks and functional components +- **TypeScript**: Full type safety and IntelliSense support +- **Vite**: Fast build tool and dev server +- **Tailwind CSS**: Utility-first styling +- **Framer Motion**: Smooth animations and transitions +- **Lucide Icons**: Beautiful and consistent iconography +- **React Router**: Client-side routing + +### Project Structure + +``` +archon-ui-main/ +├── src/ +│ ├── components/ # Reusable UI components +│ │ ├── ui/ # Base UI components (Button, Card, etc.) +│ │ ├── layouts/ # Layout components (Sidebar, Header) +│ │ └── animations/ # Animation components +│ ├── pages/ # Page components +│ │ ├── MCPPage.tsx # MCP Dashboard +│ │ ├── Settings.tsx # Settings page +│ │ ├── Crawl.tsx # Web crawling interface +│ │ ├── KnowledgeBase.tsx # Knowledge management +│ │ └── Chat.tsx # RAG chat interface +│ ├── services/ # API and service layers +│ │ ├── api.ts # Base API configuration +│ │ ├── mcpService.ts # MCP server communication +│ │ └── chatService.ts # Chat/RAG service +│ ├── contexts/ # React contexts +│ │ └── ToastContext.tsx # Toast notifications +│ ├── hooks/ # Custom React hooks +│ │ └── useStaggeredEntrance.ts # Animation hook +│ ├── types/ # TypeScript type definitions +│ └── lib/ # Utility functions +├── public/ # Static assets +└── test/ # Test files +``` + +## 📄 Pages Documentation + +### 1. MCP Dashboard (`/mcp`) + +The central control panel for the MCP server. + +**Components:** +- **Server Control Panel**: Start/stop server, view status, select transport mode +- **Server Logs Viewer**: Real-time log streaming with auto-scroll +- **Available Tools Table**: Dynamic tool discovery and documentation +- **MCP Test Panel**: Interactive tool testing interface + +**Features:** +- Dual transport support (SSE/stdio) +- Real-time status polling (5-second intervals) +- WebSocket-based log streaming +- Copy-to-clipboard configuration +- Tool parameter validation + +### 2. Settings (`/settings`) + +Comprehensive configuration management. + +**Sections:** +- **Credentials**: + - OpenAI API key (encrypted storage) + - Supabase connection details + - MCP server configuration +- **RAG Strategies**: + - Contextual Embeddings toggle + - Hybrid Search toggle + - Agentic RAG (code extraction) toggle + - Reranking toggle + +**Features:** +- Secure credential storage with encryption +- Real-time validation +- Toast notifications for actions +- Default value management + +### 3. Web Crawling (`/crawl`) + +Interface for crawling documentation sites. + +**Components:** +- **URL Input**: Smart URL validation +- **Crawl Options**: Max depth, concurrent sessions +- **Progress Monitoring**: Real-time crawl status +- **Results Summary**: Pages crawled, chunks stored + +**Features:** +- Intelligent URL type detection +- Sitemap support +- Recursive crawling +- Batch processing + +### 4. Knowledge Base (`/knowledge`) + +Browse and manage your knowledge items. + +**Components:** +- **Knowledge Grid**: Card-based knowledge display +- **Search/Filter**: Search by title, type, tags +- **Knowledge Details**: View full item details +- **Actions**: Delete, refresh, organize + +**Features:** +- Pagination support +- Real-time updates via WebSocket +- Type-based filtering (technical/business) +- Metadata display + +### 5. RAG Chat (`/chat`) + +Interactive chat interface for testing RAG queries. + +**Components:** +- **Chat Messages**: Threaded conversation view +- **Input Area**: Query input with source selection +- **Results Display**: Formatted RAG results +- **Source Selector**: Filter by knowledge source + +**Features:** +- Real-time streaming responses +- Source attribution +- Markdown rendering +- Copy functionality + +## 🧩 Component Library + +### Base UI Components + +#### Button +```tsx + +``` + +#### Card +```tsx + +

Card Title

+

Card content

+ +``` + +#### LoadingSpinner +```tsx + +``` + +### Layout Components + +#### Sidebar +- Collapsible navigation +- Active route highlighting +- Icon + text navigation items +- Responsive design + +#### Header +- Dark mode toggle +- User menu +- Breadcrumb navigation + +### Animation Components + +#### PageTransition +Wraps pages with smooth fade/slide animations: +```tsx + + + +``` + +## 🔌 Services + +### mcpService +Handles all MCP server communication: +- `startServer()`: Start the MCP server +- `stopServer()`: Stop the MCP server +- `getStatus()`: Get current server status +- `streamLogs()`: WebSocket log streaming +- `getAvailableTools()`: Fetch MCP tools + +### api +Base API configuration with: +- Automatic error handling +- Request/response interceptors +- Base URL configuration +- TypeScript generics + +### chatService +RAG query interface: +- `sendMessage()`: Send RAG query +- `streamResponse()`: Stream responses +- `getSources()`: Get available sources + +## 🎨 Styling + +### Tailwind Configuration +- Custom color palette +- Dark mode support +- Custom animations +- Responsive breakpoints + +### Theme Variables +```css +--primary: Blue accent colors +--secondary: Gray/neutral colors +--success: Green indicators +--warning: Orange indicators +--error: Red indicators +``` + +## 🚀 Development + +### Setup +```bash +# Install dependencies +npm install + +# Start dev server +npm run dev + +# Build for production +npm run build + +# Run tests +npm test +``` + +### Environment Variables +```env +VITE_API_URL=http://localhost:8080 +``` + +### Hot Module Replacement +Vite provides instant HMR for: +- React components +- CSS modules +- TypeScript files + +## 🧪 Testing + +### Unit Tests +- Component testing with React Testing Library +- Service mocking with MSW +- Hook testing with @testing-library/react-hooks + +### Integration Tests +- Page-level testing +- API integration tests +- WebSocket testing + +## 📦 Build & Deployment + +### Docker Support +```dockerfile +FROM node:18-alpine +WORKDIR /app +COPY package*.json ./ +RUN npm ci +COPY . . +RUN npm run build +EXPOSE 5173 +CMD ["npm", "run", "preview"] +``` + +### Production Optimization +- Code splitting by route +- Lazy loading for pages +- Image optimization +- Bundle size analysis + +## 🔧 Configuration Files + +### vite.config.ts +- Path aliases +- Build optimization +- Development server config + +### tsconfig.json +- Strict type checking +- Path mappings +- Compiler options + +### tailwind.config.js +- Custom theme +- Plugin configuration +- Purge settings + +## 🤝 Contributing + +### Code Style +- ESLint configuration +- Prettier formatting +- TypeScript strict mode +- Component naming conventions + +### Git Workflow +- Feature branches +- Conventional commits +- PR templates +- Code review process diff --git a/archon-ui-main/__mocks__/lucide-react.tsx b/archon-ui-main/__mocks__/lucide-react.tsx new file mode 100644 index 00000000..a3553fe1 --- /dev/null +++ b/archon-ui-main/__mocks__/lucide-react.tsx @@ -0,0 +1,296 @@ +import React from 'react' +import { vi } from 'vitest' + +const createMockIcon = (name: string) => { + const MockIcon = React.forwardRef(({ className, ...props }: any, ref: any) => ( + + {name} + + )) + MockIcon.displayName = name + return MockIcon +} + +// Export all icons used in the app +export const Settings = createMockIcon('Settings') +export const Check = createMockIcon('Check') +export const CheckCircle = createMockIcon('CheckCircle') +export const X = createMockIcon('X') +export const XCircle = createMockIcon('XCircle') +export const Eye = createMockIcon('Eye') +export const EyeOff = createMockIcon('EyeOff') +export const Save = createMockIcon('Save') +export const Loader = createMockIcon('Loader') +export const Loader2 = createMockIcon('Loader2') +export const RefreshCw = createMockIcon('RefreshCw') +export const Play = createMockIcon('Play') +export const Pause = createMockIcon('Pause') +export const Square = createMockIcon('Square') +export const FileText = createMockIcon('FileText') +export const Download = createMockIcon('Download') +export const Upload = createMockIcon('Upload') +export const ChevronDown = createMockIcon('ChevronDown') +export const ChevronUp = createMockIcon('ChevronUp') +export const ChevronLeft = createMockIcon('ChevronLeft') +export const ChevronRight = createMockIcon('ChevronRight') +export const Plus = createMockIcon('Plus') +export const Minus = createMockIcon('Minus') +export const Edit = createMockIcon('Edit') +export const Edit2 = createMockIcon('Edit2') +export const Edit3 = createMockIcon('Edit3') +export const Trash = createMockIcon('Trash') +export const Trash2 = createMockIcon('Trash2') +export const User = createMockIcon('User') +export const Users = createMockIcon('Users') +export const Bot = createMockIcon('Bot') +export const Database = createMockIcon('Database') +export const Server = createMockIcon('Server') +export const Globe = createMockIcon('Globe') +export const Search = createMockIcon('Search') +export const Filter = createMockIcon('Filter') +export const Copy = createMockIcon('Copy') +export const ExternalLink = createMockIcon('ExternalLink') +export const Info = createMockIcon('Info') +export const AlertCircle = createMockIcon('AlertCircle') +export const AlertTriangle = createMockIcon('AlertTriangle') +export const Zap = createMockIcon('Zap') +export const Code = createMockIcon('Code') +export const Terminal = createMockIcon('Terminal') +export const Book = createMockIcon('Book') +export const BookOpen = createMockIcon('BookOpen') +export const Folder = createMockIcon('Folder') +export const FolderOpen = createMockIcon('FolderOpen') +export const File = createMockIcon('File') +export const Hash = createMockIcon('Hash') +export const Tag = createMockIcon('Tag') +export const Clock = createMockIcon('Clock') +export const Calendar = createMockIcon('Calendar') +export const MapPin = createMockIcon('MapPin') +export const Link = createMockIcon('Link') +export const Mail = createMockIcon('Mail') +export const Phone = createMockIcon('Phone') +export const Home = createMockIcon('Home') +export const Menu = createMockIcon('Menu') +export const MoreHorizontal = createMockIcon('MoreHorizontal') +export const MoreVertical = createMockIcon('MoreVertical') +export const Refresh = createMockIcon('Refresh') +export const RotateCcw = createMockIcon('RotateCcw') +export const RotateCw = createMockIcon('RotateCw') +export const Sun = createMockIcon('Sun') +export const Moon = createMockIcon('Moon') +export const Monitor = createMockIcon('Monitor') +export const Wifi = createMockIcon('Wifi') +export const WifiOff = createMockIcon('WifiOff') +export const Volume2 = createMockIcon('Volume2') +export const VolumeX = createMockIcon('VolumeX') +export const BarChart = createMockIcon('BarChart') +export const PieChart = createMockIcon('PieChart') +export const TrendingUp = createMockIcon('TrendingUp') +export const TrendingDown = createMockIcon('TrendingDown') +export const ArrowUp = createMockIcon('ArrowUp') +export const ArrowDown = createMockIcon('ArrowDown') +export const ArrowLeft = createMockIcon('ArrowLeft') +export const ArrowRight = createMockIcon('ArrowRight') +export const Send = createMockIcon('Send') +export const MessageSquare = createMockIcon('MessageSquare') +export const MessageCircle = createMockIcon('MessageCircle') +export const Heart = createMockIcon('Heart') +export const Star = createMockIcon('Star') +export const Bookmark = createMockIcon('Bookmark') +export const Share = createMockIcon('Share') +export const Share2 = createMockIcon('Share2') +export const Maximize = createMockIcon('Maximize') +export const Minimize = createMockIcon('Minimize') +export const Expand = createMockIcon('Expand') +export const Shrink = createMockIcon('Shrink') +export const Move = createMockIcon('Move') +export const Shuffle = createMockIcon('Shuffle') +export const Repeat = createMockIcon('Repeat') +export const StopCircle = createMockIcon('StopCircle') +export const SkipBack = createMockIcon('SkipBack') +export const SkipForward = createMockIcon('SkipForward') +export const FastForward = createMockIcon('FastForward') +export const Rewind = createMockIcon('Rewind') +export const Camera = createMockIcon('Camera') +export const Image = createMockIcon('Image') +export const Video = createMockIcon('Video') +export const Mic = createMockIcon('Mic') +export const MicOff = createMockIcon('MicOff') +export const Headphones = createMockIcon('Headphones') +export const Speaker = createMockIcon('Speaker') +export const Bell = createMockIcon('Bell') +export const BellOff = createMockIcon('BellOff') +export const Shield = createMockIcon('Shield') +export const ShieldCheck = createMockIcon('ShieldCheck') +export const ShieldAlert = createMockIcon('ShieldAlert') +export const Key = createMockIcon('Key') +export const Lock = createMockIcon('Lock') +export const Unlock = createMockIcon('Unlock') +export const LogIn = createMockIcon('LogIn') +export const LogOut = createMockIcon('LogOut') +export const UserPlus = createMockIcon('UserPlus') +export const UserMinus = createMockIcon('UserMinus') +export const UserCheck = createMockIcon('UserCheck') +export const UserX = createMockIcon('UserX') +export const Package = createMockIcon('Package') +export const Package2 = createMockIcon('Package2') +export const ShoppingCart = createMockIcon('ShoppingCart') +export const ShoppingBag = createMockIcon('ShoppingBag') +export const CreditCard = createMockIcon('CreditCard') +export const DollarSign = createMockIcon('DollarSign') +export const Percent = createMockIcon('Percent') +export const Activity = createMockIcon('Activity') +export const Cpu = createMockIcon('Cpu') +export const HardDrive = createMockIcon('HardDrive') +export const MemoryStick = createMockIcon('MemoryStick') +export const Smartphone = createMockIcon('Smartphone') +export const Tablet = createMockIcon('Tablet') +export const Laptop = createMockIcon('Laptop') +export const Monitor2 = createMockIcon('Monitor2') +export const Tv = createMockIcon('Tv') +export const Watch = createMockIcon('Watch') +export const Gamepad2 = createMockIcon('Gamepad2') +export const Mouse = createMockIcon('Mouse') +export const Keyboard = createMockIcon('Keyboard') +export const Printer = createMockIcon('Printer') +export const Scanner = createMockIcon('Scanner') +export const Webcam = createMockIcon('Webcam') +export const Bluetooth = createMockIcon('Bluetooth') +export const Usb = createMockIcon('Usb') +export const Zap2 = createMockIcon('Zap2') +export const Battery = createMockIcon('Battery') +export const BatteryCharging = createMockIcon('BatteryCharging') +export const Plug = createMockIcon('Plug') +export const Power = createMockIcon('Power') +export const PowerOff = createMockIcon('PowerOff') +export const BarChart2 = createMockIcon('BarChart2') +export const BarChart3 = createMockIcon('BarChart3') +export const BarChart4 = createMockIcon('BarChart4') +export const LineChart = createMockIcon('LineChart') +export const PieChart2 = createMockIcon('PieChart2') +export const Layers = createMockIcon('Layers') +export const Layers2 = createMockIcon('Layers2') +export const Layers3 = createMockIcon('Layers3') +export const Grid = createMockIcon('Grid') +export const Grid2x2 = createMockIcon('Grid2x2') +export const Grid3x3 = createMockIcon('Grid3x3') +export const List = createMockIcon('List') +export const ListChecks = createMockIcon('ListChecks') +export const ListTodo = createMockIcon('ListTodo') +export const CheckSquare = createMockIcon('CheckSquare') +export const Square2 = createMockIcon('Square2') +export const Circle = createMockIcon('Circle') +export const CircleCheck = createMockIcon('CircleCheck') +export const CircleX = createMockIcon('CircleX') +export const CircleDot = createMockIcon('CircleDot') +export const Target = createMockIcon('Target') +export const Focus = createMockIcon('Focus') +export const Crosshair = createMockIcon('Crosshair') +export const Locate = createMockIcon('Locate') +export const LocateFixed = createMockIcon('LocateFixed') +export const Navigation = createMockIcon('Navigation') +export const Navigation2 = createMockIcon('Navigation2') +export const Compass = createMockIcon('Compass') +export const Map = createMockIcon('Map') +export const TestTube = createMockIcon('TestTube') +export const FlaskConical = createMockIcon('FlaskConical') +export const Bug = createMockIcon('Bug') +export const GitBranch = createMockIcon('GitBranch') +export const GitCommit = createMockIcon('GitCommit') +export const GitMerge = createMockIcon('GitMerge') +export const GitPullRequest = createMockIcon('GitPullRequest') +export const Github = createMockIcon('Github') +export const Gitlab = createMockIcon('Gitlab') +export const Bitbucket = createMockIcon('Bitbucket') +export const Network = createMockIcon('Network') +export const GitGraph = createMockIcon('GitGraph') +export const ListFilter = createMockIcon('ListFilter') +export const CheckSquare2 = createMockIcon('CheckSquare2') +export const CircleSlash2 = createMockIcon('CircleSlash2') +export const Clock3 = createMockIcon('Clock3') +export const GitCommitHorizontal = createMockIcon('GitCommitHorizontal') +export const CalendarDays = createMockIcon('CalendarDays') +export const Sparkles = createMockIcon('Sparkles') +export const Layout = createMockIcon('Layout') +export const Table = createMockIcon('Table') +export const Columns = createMockIcon('Columns') +export const GitPullRequestDraft = createMockIcon('GitPullRequestDraft') +export const BrainCircuit = createMockIcon('BrainCircuit') +export const Wrench = createMockIcon('Wrench') +export const PlugZap = createMockIcon('PlugZap') +export const BoxIcon = createMockIcon('BoxIcon') +export const Box = createMockIcon('Box') +export const Brain = createMockIcon('Brain') +export const LinkIcon = createMockIcon('LinkIcon') +export const Sparkle = createMockIcon('Sparkle') +export const FolderTree = createMockIcon('FolderTree') +export const Lightbulb = createMockIcon('Lightbulb') +export const Rocket = createMockIcon('Rocket') +export const Building = createMockIcon('Building') +export const FileCode = createMockIcon('FileCode') +export const FileJson = createMockIcon('FileJson') +export const Braces = createMockIcon('Braces') +export const Binary = createMockIcon('Binary') +export const Palette = createMockIcon('Palette') +export const Paintbrush = createMockIcon('Paintbrush') +export const Type = createMockIcon('Type') +export const Heading = createMockIcon('Heading') +export const AlignLeft = createMockIcon('AlignLeft') +export const AlignCenter = createMockIcon('AlignCenter') +export const AlignRight = createMockIcon('AlignRight') +export const Bold = createMockIcon('Bold') +export const Italic = createMockIcon('Italic') +export const Underline = createMockIcon('Underline') +export const Strikethrough = createMockIcon('Strikethrough') +export const FileCheck = createMockIcon('FileCheck') +export const FileX = createMockIcon('FileX') +export const FilePlus = createMockIcon('FilePlus') +export const FileMinus = createMockIcon('FileMinus') +export const FolderPlus = createMockIcon('FolderPlus') +export const FolderMinus = createMockIcon('FolderMinus') +export const FolderCheck = createMockIcon('FolderCheck') +export const FolderX = createMockIcon('FolderX') +export const startMCPServer = createMockIcon('startMCPServer') +export const Pin = createMockIcon('Pin') +export const CheckCircle2 = createMockIcon('CheckCircle2') +export const Clipboard = createMockIcon('Clipboard') +export const LayoutGrid = createMockIcon('LayoutGrid') +export const Pencil = createMockIcon('Pencil') +export const MousePointer = createMockIcon('MousePointer') +export const GripVertical = createMockIcon('GripVertical') +export const History = createMockIcon('History') +export const PlusCircle = createMockIcon('PlusCircle') +export const MinusCircle = createMockIcon('MinusCircle') +export const ChevronDownIcon = createMockIcon('ChevronDownIcon') +export const FileIcon = createMockIcon('FileIcon') +export const AlertCircleIcon = createMockIcon('AlertCircleIcon') +export const Clock4 = createMockIcon('Clock4') +export const XIcon = createMockIcon('XIcon') +export const CheckIcon = createMockIcon('CheckIcon') +export const TrashIcon = createMockIcon('TrashIcon') +export const EyeIcon = createMockIcon('EyeIcon') +export const EditIcon = createMockIcon('EditIcon') +export const DownloadIcon = createMockIcon('DownloadIcon') +export const RefreshIcon = createMockIcon('RefreshIcon') +export const SearchIcon = createMockIcon('SearchIcon') +export const FilterIcon = createMockIcon('FilterIcon') +export const PlusIcon = createMockIcon('PlusIcon') +export const FolderIcon = createMockIcon('FolderIcon') +export const FileTextIcon = createMockIcon('FileTextIcon') +export const BookOpenIcon = createMockIcon('BookOpenIcon') +export const DatabaseIcon = createMockIcon('DatabaseIcon') +export const GlobeIcon = createMockIcon('GlobeIcon') +export const TagIcon = createMockIcon('TagIcon') +export const CalendarIcon = createMockIcon('CalendarIcon') +export const ClockIcon = createMockIcon('ClockIcon') +export const UserIcon = createMockIcon('UserIcon') +export const SettingsIcon = createMockIcon('SettingsIcon') +export const InfoIcon = createMockIcon('InfoIcon') +export const WarningIcon = createMockIcon('WarningIcon') +export const ErrorIcon = createMockIcon('ErrorIcon') \ No newline at end of file diff --git a/archon-ui-main/docs/socket-memoization-patterns.md b/archon-ui-main/docs/socket-memoization-patterns.md new file mode 100644 index 00000000..4edaae0d --- /dev/null +++ b/archon-ui-main/docs/socket-memoization-patterns.md @@ -0,0 +1,255 @@ +# Socket & Memoization Patterns + +## Quick Reference + +### DO: +- ✅ Track optimistic updates to prevent double-renders +- ✅ Memoize socket event handlers with useCallback +- ✅ Check if incoming data actually differs from current state +- ✅ Use debouncing for rapid UI updates (drag & drop) +- ✅ Clean up socket listeners in useEffect cleanup + +### DON'T: +- ❌ Update state without checking if data changed +- ❌ Create new handler functions on every render +- ❌ Apply server updates that match pending optimistic updates +- ❌ Forget to handle the "modal open" edge case + +## Pattern Examples + +### Optimistic Update Pattern + +```typescript +import { useOptimisticUpdates } from '../../hooks/useOptimisticUpdates'; + +const MyComponent = () => { + const { addPendingUpdate, isPendingUpdate } = useOptimisticUpdates(); + + const handleLocalUpdate = (task: Task) => { + // Track the optimistic update + addPendingUpdate({ + id: task.id, + timestamp: Date.now(), + data: task, + operation: 'update' + }); + + // Update local state immediately + setTasks(prev => prev.map(t => t.id === task.id ? task : t)); + + // Persist to server + api.updateTask(task); + }; + + const handleServerUpdate = useCallback((task: Task) => { + // Skip if this is our own update echoing back + if (isPendingUpdate(task.id, task)) { + console.log('Skipping own optimistic update'); + return; + } + + // Apply server update + setTasks(prev => prev.map(t => t.id === task.id ? task : t)); + }, [isPendingUpdate]); +}; +``` + +### Socket Handler Pattern + +```typescript +import { useSocketSubscription } from '../../hooks/useSocketSubscription'; + +const MyComponent = () => { + // Option 1: Using the hook + useSocketSubscription( + socketService, + 'data_updated', + (data) => { + console.log('Data updated:', data); + // Handle update + }, + [/* dependencies */] + ); + + // Option 2: Manual memoization + const handleUpdate = useCallback((message: any) => { + const data = message.data || message; + + setItems(prev => { + // Check if data actually changed + const existing = prev.find(item => item.id === data.id); + if (existing && JSON.stringify(existing) === JSON.stringify(data)) { + return prev; // No change, prevent re-render + } + + return prev.map(item => item.id === data.id ? data : item); + }); + }, []); + + useEffect(() => { + socketService.addMessageHandler('update', handleUpdate); + return () => { + socketService.removeMessageHandler('update', handleUpdate); + }; + }, [handleUpdate]); +}; +``` + +### Debounced Reordering Pattern + +```typescript +const useReordering = () => { + const debouncedPersist = useMemo( + () => debounce(async (items: Item[]) => { + try { + await api.updateOrder(items); + } catch (error) { + console.error('Failed to persist order:', error); + // Rollback or retry logic + } + }, 500), + [] + ); + + const handleReorder = useCallback((dragIndex: number, dropIndex: number) => { + // Update UI immediately + setItems(prev => { + const newItems = [...prev]; + const [draggedItem] = newItems.splice(dragIndex, 1); + newItems.splice(dropIndex, 0, draggedItem); + + // Update order numbers + return newItems.map((item, index) => ({ + ...item, + order: index + 1 + })); + }); + + // Persist changes (debounced) + debouncedPersist(items); + }, [items, debouncedPersist]); +}; +``` + +## WebSocket Service Configuration + +### Deduplication + +The enhanced WebSocketService now includes automatic deduplication: + +```typescript +// Configure deduplication window (default: 100ms) +socketService.setDeduplicationWindow(200); // 200ms window + +// Duplicate messages within the window are automatically filtered +``` + +### Connection Management + +```typescript +// Always check connection state before critical operations +if (socketService.isConnected()) { + socketService.send({ type: 'update', data: payload }); +} + +// Monitor connection state +socketService.addStateChangeHandler((state) => { + if (state === WebSocketState.CONNECTED) { + console.log('Connected - refresh data'); + } +}); +``` + +## Common Patterns + +### 1. State Equality Checks + +Always check if incoming data actually differs from current state: + +```typescript +// ❌ BAD - Always triggers re-render +setTasks(prev => prev.map(t => t.id === id ? newTask : t)); + +// ✅ GOOD - Only updates if changed +setTasks(prev => { + const existing = prev.find(t => t.id === id); + if (existing && deepEqual(existing, newTask)) return prev; + return prev.map(t => t.id === id ? newTask : t); +}); +``` + +### 2. Modal State Handling + +Be aware of modal state when applying updates: + +```typescript +const handleSocketUpdate = useCallback((data) => { + if (isModalOpen && editingItem?.id === data.id) { + console.warn('Update received while editing - consider skipping or merging'); + // Option 1: Skip the update + // Option 2: Merge with current edits + // Option 3: Show conflict resolution UI + } + + // Normal update flow +}, [isModalOpen, editingItem]); +``` + +### 3. Cleanup Pattern + +Always clean up socket listeners: + +```typescript +useEffect(() => { + const handlers = [ + { event: 'create', handler: handleCreate }, + { event: 'update', handler: handleUpdate }, + { event: 'delete', handler: handleDelete } + ]; + + // Add all handlers + handlers.forEach(({ event, handler }) => { + socket.addMessageHandler(event, handler); + }); + + // Cleanup + return () => { + handlers.forEach(({ event, handler }) => { + socket.removeMessageHandler(event, handler); + }); + }; +}, [handleCreate, handleUpdate, handleDelete]); +``` + +## Performance Tips + +1. **Measure First**: Use React DevTools Profiler before optimizing +2. **Batch Updates**: Group related state changes +3. **Debounce Rapid Changes**: Especially for drag & drop operations +4. **Use Stable References**: Memoize callbacks passed to child components +5. **Avoid Deep Equality Checks**: Use optimized comparison for large objects + +## Debugging + +Enable verbose logging for troubleshooting: + +```typescript +// In development +if (process.env.NODE_ENV === 'development') { + console.log('[Socket] Message received:', message); + console.log('[Socket] Deduplication result:', isDuplicate); + console.log('[Optimistic] Pending updates:', pendingUpdates); +} +``` + +## Migration Guide + +To migrate existing components: + +1. Import `useOptimisticUpdates` hook +2. Wrap socket handlers with `useCallback` +3. Add optimistic update tracking to local changes +4. Check for pending updates in socket handlers +5. Test with React DevTools Profiler + +Remember: The goal is to eliminate unnecessary re-renders while maintaining real-time synchronization across all connected clients. \ No newline at end of file diff --git a/archon-ui-main/index.html b/archon-ui-main/index.html new file mode 100644 index 00000000..75a86c4a --- /dev/null +++ b/archon-ui-main/index.html @@ -0,0 +1,13 @@ + + + + + + + Archon - Knowledge Engine + + +
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.js,.jsx,.ts,.tsx", + "preview": "npx vite preview", + "test": "vitest", + "test:ui": "vitest --ui", + "test:coverage": "npm run test:coverage:run && npm run test:coverage:summary", + "test:coverage:run": "vitest run --coverage --reporter=dot --reporter=json", + "test:coverage:stream": "vitest run --coverage --reporter=default --reporter=json --bail=false || true", + "test:coverage:summary": "echo '\\n📊 ARCHON TEST & COVERAGE SUMMARY\\n═══════════════════════════════════════\\n' && node -e \"try { const data = JSON.parse(require('fs').readFileSync('coverage/test-results.json', 'utf8')); const passed = data.numPassedTests || 0; const failed = data.numFailedTests || 0; const total = data.numTotalTests || 0; const suites = data.numTotalTestSuites || 0; console.log('Test Suites: ' + (failed > 0 ? '\\x1b[31m' + failed + ' failed\\x1b[0m, ' : '') + '\\x1b[32m' + (suites - failed) + ' passed\\x1b[0m, ' + suites + ' total'); console.log('Tests: ' + (failed > 0 ? '\\x1b[31m' + failed + ' failed\\x1b[0m, ' : '') + '\\x1b[32m' + passed + ' passed\\x1b[0m, ' + total + ' total'); console.log('\\n✨ Results saved to coverage/test-results.json'); } catch(e) { console.log('⚠️ No test results found. Run tests first!'); }\" || true", + "test:coverage:force": "vitest run --coverage --passWithNoTests || true", + "seed:projects": "node --loader ts-node/esm ../scripts/seed-project-data.ts" + }, + "dependencies": { + "@milkdown/crepe": "^7.5.0", + "@milkdown/kit": "^7.5.0", + "@milkdown/plugin-history": "^7.5.0", + "@milkdown/preset-commonmark": "^7.5.0", + "@xyflow/react": "^12.3.0", + "clsx": "latest", + "date-fns": "^4.1.0", + "fractional-indexing": "^3.2.0", + "framer-motion": "^11.5.4", + "lucide-react": "^0.441.0", + "prismjs": "^1.30.0", + "react": "^18.3.1", + "react-dnd": "^16.0.1", + "react-dnd-html5-backend": "^16.0.1", + "react-dom": "^18.3.1", + "react-router-dom": "^6.26.2", + "socket.io-client": "^4.8.1", + "tailwind-merge": "latest", + "zod": "^3.25.46" + }, + "devDependencies": { + "@testing-library/jest-dom": "^6.4.6", + "@testing-library/react": "^14.3.1", + "@testing-library/user-event": "^14.5.2", + "@types/node": "^20.19.0", + "@types/react": "^18.3.1", + "@types/react-dom": "^18.3.1", + "@typescript-eslint/eslint-plugin": "^5.54.0", + "@typescript-eslint/parser": "^5.54.0", + "@vitejs/plugin-react": "^4.2.1", + "@vitest/coverage-v8": "^1.6.0", + "@vitest/ui": "^1.6.0", + "autoprefixer": "latest", + "eslint": "^8.50.0", + "eslint-plugin-react-hooks": "^4.6.0", + "eslint-plugin-react-refresh": "^0.4.1", + "jsdom": "^24.1.0", + "postcss": "latest", + "tailwindcss": "3.4.17", + "ts-node": "^10.9.1", + "typescript": "^5.5.4", + "vite": "^5.2.0", + "vitest": "^1.6.0" + } +} diff --git a/archon-ui-main/postcss.config.js b/archon-ui-main/postcss.config.js new file mode 100644 index 00000000..2e7af2b7 --- /dev/null +++ b/archon-ui-main/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/archon-ui-main/public/Archon_-_visual_selection.svg b/archon-ui-main/public/Archon_-_visual_selection.svg new file mode 100644 index 00000000..30a7855b --- /dev/null +++ b/archon-ui-main/public/Archon_-_visual_selection.svg @@ -0,0 +1,3 @@ + + + \ No newline at end of file diff --git a/archon-ui-main/public/archon-main-graphic.png b/archon-ui-main/public/archon-main-graphic.png new file mode 100644 index 00000000..8c6b33e8 Binary files /dev/null and b/archon-ui-main/public/archon-main-graphic.png differ diff --git a/archon-ui-main/public/favicon.svg b/archon-ui-main/public/favicon.svg new file mode 100644 index 00000000..3a85609c --- /dev/null +++ b/archon-ui-main/public/favicon.svg @@ -0,0 +1,32 @@ + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/archon-ui-main/public/img/Python-logo-notext.svg b/archon-ui-main/public/img/Python-logo-notext.svg new file mode 100644 index 00000000..269bbea5 --- /dev/null +++ b/archon-ui-main/public/img/Python-logo-notext.svg @@ -0,0 +1,265 @@ + + + + + + + + image/svg+xml + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/archon-ui-main/public/img/React-icon.svg b/archon-ui-main/public/img/React-icon.svg new file mode 100644 index 00000000..ea77a618 --- /dev/null +++ b/archon-ui-main/public/img/React-icon.svg @@ -0,0 +1,9 @@ + + React Logo + + + + + + + diff --git a/archon-ui-main/public/img/Visual_Studio_Code_1.35_icon.svg b/archon-ui-main/public/img/Visual_Studio_Code_1.35_icon.svg new file mode 100644 index 00000000..0557c2cb --- /dev/null +++ b/archon-ui-main/public/img/Visual_Studio_Code_1.35_icon.svg @@ -0,0 +1,41 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/archon-ui-main/public/img/claude-logo.svg b/archon-ui-main/public/img/claude-logo.svg new file mode 100644 index 00000000..853a243c --- /dev/null +++ b/archon-ui-main/public/img/claude-logo.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/archon-ui-main/public/img/cursor.svg b/archon-ui-main/public/img/cursor.svg new file mode 100644 index 00000000..abadee50 --- /dev/null +++ b/archon-ui-main/public/img/cursor.svg @@ -0,0 +1 @@ +Cursor \ No newline at end of file diff --git a/archon-ui-main/public/img/fastapi-seeklogo.svg b/archon-ui-main/public/img/fastapi-seeklogo.svg new file mode 100644 index 00000000..4f551587 --- /dev/null +++ b/archon-ui-main/public/img/fastapi-seeklogo.svg @@ -0,0 +1,8 @@ + + + FastAPI + + + + + diff --git a/archon-ui-main/public/img/favicon.svg b/archon-ui-main/public/img/favicon.svg new file mode 100644 index 00000000..3a85609c --- /dev/null +++ b/archon-ui-main/public/img/favicon.svg @@ -0,0 +1,32 @@ + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/archon-ui-main/public/img/logo-neon.svg b/archon-ui-main/public/img/logo-neon.svg new file mode 100644 index 00000000..2a692dc6 --- /dev/null +++ b/archon-ui-main/public/img/logo-neon.svg @@ -0,0 +1,44 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/archon-ui-main/public/img/mcp.svg b/archon-ui-main/public/img/mcp.svg new file mode 100644 index 00000000..5cd83a8b --- /dev/null +++ b/archon-ui-main/public/img/mcp.svg @@ -0,0 +1 @@ +ModelContextProtocol \ No newline at end of file diff --git a/archon-ui-main/public/img/windsurf-white-symbol.svg b/archon-ui-main/public/img/windsurf-white-symbol.svg new file mode 100644 index 00000000..2e4e4e49 --- /dev/null +++ b/archon-ui-main/public/img/windsurf-white-symbol.svg @@ -0,0 +1,3 @@ + + + diff --git a/archon-ui-main/public/logo-neon.svg b/archon-ui-main/public/logo-neon.svg new file mode 100644 index 00000000..2a692dc6 --- /dev/null +++ b/archon-ui-main/public/logo-neon.svg @@ -0,0 +1,44 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/archon-ui-main/src/App.tsx b/archon-ui-main/src/App.tsx new file mode 100644 index 00000000..5ed482e4 --- /dev/null +++ b/archon-ui-main/src/App.tsx @@ -0,0 +1,100 @@ +import { useState, useEffect } from 'react'; +import { BrowserRouter as Router, Routes, Route, Navigate } from 'react-router-dom'; +import { KnowledgeBasePage } from './pages/KnowledgeBasePage'; +import { SettingsPage } from './pages/SettingsPage'; +import { MCPPage } from './pages/MCPPage'; +import { MainLayout } from './components/layouts/MainLayout'; +import { ThemeProvider } from './contexts/ThemeContext'; +import { ToastProvider } from './contexts/ToastContext'; +import { SettingsProvider, useSettings } from './contexts/SettingsContext'; +import { ProjectPage } from './pages/ProjectPage'; +import { DisconnectScreenOverlay } from './components/DisconnectScreenOverlay'; +import { ErrorBoundaryWithBugReport } from './components/bug-report/ErrorBoundaryWithBugReport'; +import { serverHealthService } from './services/serverHealthService'; + +const AppRoutes = () => { + const { projectsEnabled } = useSettings(); + + return ( + + } /> + } /> + } /> + {projectsEnabled ? ( + } /> + ) : ( + } /> + )} + + ); +}; + +const AppContent = () => { + const [disconnectScreenActive, setDisconnectScreenActive] = useState(false); + const [disconnectScreenDismissed, setDisconnectScreenDismissed] = useState(false); + const [disconnectScreenSettings, setDisconnectScreenSettings] = useState({ + enabled: true, + delay: 10000 + }); + + useEffect(() => { + // Load initial settings + const settings = serverHealthService.getSettings(); + setDisconnectScreenSettings(settings); + + // Stop any existing monitoring before starting new one to prevent multiple intervals + serverHealthService.stopMonitoring(); + + // Start health monitoring + serverHealthService.startMonitoring({ + onDisconnected: () => { + if (!disconnectScreenDismissed) { + setDisconnectScreenActive(true); + } + }, + onReconnected: () => { + setDisconnectScreenActive(false); + setDisconnectScreenDismissed(false); + // Refresh the page to ensure all data is fresh + window.location.reload(); + } + }); + + return () => { + serverHealthService.stopMonitoring(); + }; + }, [disconnectScreenDismissed]); + + const handleDismissDisconnectScreen = () => { + setDisconnectScreenActive(false); + setDisconnectScreenDismissed(true); + }; + + return ( + <> + + + + + + + + + + ); +}; + +export function App() { + return ( + + + + + + + + ); +} \ No newline at end of file diff --git a/archon-ui-main/src/components/DisconnectScreenOverlay.tsx b/archon-ui-main/src/components/DisconnectScreenOverlay.tsx new file mode 100644 index 00000000..11f6e665 --- /dev/null +++ b/archon-ui-main/src/components/DisconnectScreenOverlay.tsx @@ -0,0 +1,47 @@ +import React, { useState } from 'react'; +import { X, Wifi, WifiOff } from 'lucide-react'; +import { DisconnectScreen } from './animations/DisconnectScreenAnimations'; +import { NeonButton } from './ui/NeonButton'; + +interface DisconnectScreenOverlayProps { + isActive: boolean; + onDismiss?: () => void; +} + +export const DisconnectScreenOverlay: React.FC = ({ + isActive, + onDismiss +}) => { + const [showControls, setShowControls] = useState(false); + + if (!isActive) return null; + + return ( +
setShowControls(true)} + onMouseEnter={() => setShowControls(true)} + onMouseLeave={() => setTimeout(() => setShowControls(false), 3000)} + > + {/* Disconnect Screen Animation */} + + + {/* Override Button */} +
+ {onDismiss && ( + + + Dismiss + + )} +
+
+ ); +}; \ No newline at end of file diff --git a/archon-ui-main/src/components/ProjectCreationProgressCard.tsx b/archon-ui-main/src/components/ProjectCreationProgressCard.tsx new file mode 100644 index 00000000..aa56d861 --- /dev/null +++ b/archon-ui-main/src/components/ProjectCreationProgressCard.tsx @@ -0,0 +1,289 @@ +import React, { useState } from 'react'; +import { Card } from './ui/Card'; +import { motion, AnimatePresence } from 'framer-motion'; +import { + CheckCircle, + XCircle, + Loader2, + FileText, + ChevronDown, + ChevronUp, + RotateCcw, + Clock, + Bot, + BrainCircuit, + BookOpen, + Database, + AlertCircle +} from 'lucide-react'; +import { Button } from './ui/Button'; +import { ProjectCreationProgressData } from '../services/projectCreationProgressService'; + +interface ProjectCreationProgressCardProps { + progressData: ProjectCreationProgressData; + onComplete?: (data: ProjectCreationProgressData) => void; + onError?: (error: string) => void; + onRetry?: () => void; + connectionStatus?: 'connected' | 'connecting' | 'disconnected' | 'error'; +} + +export const ProjectCreationProgressCard: React.FC = ({ + progressData, + onComplete, + onError, + onRetry, + connectionStatus = 'connected' +}) => { + const [showLogs, setShowLogs] = useState(false); + const [hasCompletedRef] = useState({ value: false }); + const [hasErroredRef] = useState({ value: false }); + + // Handle completion/error events + React.useEffect(() => { + if (progressData.status === 'completed' && onComplete && !hasCompletedRef.value) { + hasCompletedRef.value = true; + onComplete(progressData); + } else if (progressData.status === 'error' && onError && !hasErroredRef.value) { + hasErroredRef.value = true; + onError(progressData.error || 'Project creation failed'); + } + }, [progressData.status, onComplete, onError, progressData, hasCompletedRef, hasErroredRef]); + + const getStatusIcon = () => { + switch (progressData.status) { + case 'completed': + return ; + case 'error': + return ; + case 'initializing_agents': + return ; + case 'generating_docs': + case 'processing_requirements': + case 'ai_generation': + return ; + case 'finalizing_docs': + return ; + case 'saving_to_database': + return ; + default: + return ; + } + }; + + const getStatusColor = () => { + switch (progressData.status) { + case 'completed': + return 'text-green-500'; + case 'error': + return 'text-red-500'; + case 'initializing_agents': + return 'text-blue-500'; + case 'generating_docs': + case 'processing_requirements': + case 'ai_generation': + return 'text-purple-500'; + case 'finalizing_docs': + return 'text-indigo-500'; + case 'saving_to_database': + return 'text-green-500'; + default: + return 'text-blue-500'; + } + }; + + const getStatusText = () => { + switch (progressData.status) { + case 'starting': + return 'Starting project creation...'; + case 'initializing_agents': + return 'Initializing AI agents...'; + case 'generating_docs': + return 'Generating documentation...'; + case 'processing_requirements': + return 'Processing requirements...'; + case 'ai_generation': + return 'AI is creating project docs...'; + case 'finalizing_docs': + return 'Finalizing documents...'; + case 'saving_to_database': + return 'Saving to database...'; + case 'completed': + return 'Project created successfully!'; + case 'error': + return 'Project creation failed'; + default: + return 'Processing...'; + } + }; + + const isActive = progressData.status !== 'completed' && progressData.status !== 'error'; + + return ( + + {/* Header */} +
+
+ {getStatusIcon()} +
+

+ Creating Project: {progressData.project?.title || 'New Project'} +

+

+ {getStatusText()} +

+
+
+ + {progressData.eta && isActive && ( +
+ + {progressData.eta} +
+ )} +
+ + {/* Connection Status Indicator */} + {connectionStatus !== 'connected' && ( +
+
+ {connectionStatus === 'connecting' && } + {connectionStatus === 'disconnected' && } + {connectionStatus === 'error' && } + + {connectionStatus === 'connecting' && 'Connecting to progress stream...'} + {connectionStatus === 'disconnected' && 'Disconnected from progress stream'} + {connectionStatus === 'error' && 'Connection error - retrying...'} + +
+
+ )} + + {/* Progress Bar */} +
+
+ + Progress + + + {progressData.percentage}% + +
+
+ +
+
+ + {/* Step Information */} + {progressData.step && ( +
+
+ Current Step: + + {progressData.step} + +
+
+ )} + + {/* Error Information */} + {progressData.status === 'error' && ( +
+
+ Error: {progressData.error || 'Project creation failed'} + {progressData.progressId && ( +
+ Progress ID: {progressData.progressId} +
+ )} +
+
+ )} + + {/* Debug Information - Show when stuck on starting status */} + {progressData.status === 'starting' && progressData.percentage === 0 && connectionStatus === 'connected' && ( +
+
+ Debug: Connected to progress stream but no updates received yet. +
+ Progress ID: {progressData.progressId} +
+
+ Check browser console for Socket.IO connection details. +
+
+
+ )} + + {/* Duration (when completed) */} + {progressData.status === 'completed' && progressData.duration && ( +
+
+ Completed in: {progressData.duration} +
+
+ )} + + {/* Console Logs */} + {progressData.logs && progressData.logs.length > 0 && ( +
+ + + + {showLogs && ( + +
+
+ {progressData.logs.map((log, index) => ( +
+ {log} +
+ ))} +
+
+ + )} + +
+ )} + + {/* Action Buttons */} + {progressData.status === 'error' && onRetry && ( +
+ +
+ )} + + ); +}; \ No newline at end of file diff --git a/archon-ui-main/src/components/animations/Animations.tsx b/archon-ui-main/src/components/animations/Animations.tsx new file mode 100644 index 00000000..6cac48a8 --- /dev/null +++ b/archon-ui-main/src/components/animations/Animations.tsx @@ -0,0 +1,118 @@ +import React from 'react'; +/** + * ArchonLoadingSpinner - A loading animation component with neon trail effects + * + * This component displays the Archon logo with animated spinning circles + * that create a neon trail effect. It's used to indicate loading states + * throughout the application. + * + * @param {Object} props - Component props + * @param {string} props.size - Size variant ('sm', 'md', 'lg') + * @param {string} props.logoSrc - Source URL for the logo image + * @param {string} props.className - Additional CSS classes + */ +export const ArchonLoadingSpinner: React.FC<{ + size?: 'sm' | 'md' | 'lg'; + logoSrc?: string; + className?: string; +}> = ({ + size = 'md', + logoSrc = "/logo-neon.svg", + className = '' +}) => { + // Size mappings for the container and logo + const sizeMap = { + sm: { + container: 'w-8 h-8', + logo: 'w-5 h-5' + }, + md: { + container: 'w-10 h-10', + logo: 'w-7 h-7' + }, + lg: { + container: 'w-14 h-14', + logo: 'w-9 h-9' + } + }; + return
+ {/* Central logo */} + Loading + {/* Animated spinning circles with neon trail effects */} +
+ {/* First circle - cyan with clockwise rotation */} +
+ {/* Second circle - fuchsia with counter-clockwise rotation */} +
+
+
; +}; +/** + * NeonGlowEffect - A component that adds a neon glow effect to its children + * + * This component creates a container with a neon glow effect in different colors. + * It's used for highlighting UI elements with a cyberpunk/neon aesthetic. + * + * @param {Object} props - Component props + * @param {React.ReactNode} props.children - Child elements + * @param {string} props.color - Color variant ('cyan', 'fuchsia', 'blue', 'purple', 'green', 'pink') + * @param {string} props.intensity - Glow intensity ('low', 'medium', 'high') + * @param {string} props.className - Additional CSS classes + */ +export const NeonGlowEffect: React.FC<{ + children: React.ReactNode; + color?: 'cyan' | 'fuchsia' | 'blue' | 'purple' | 'green' | 'pink'; + intensity?: 'low' | 'medium' | 'high'; + className?: string; +}> = ({ + children, + color = 'blue', + intensity = 'medium', + className = '' +}) => { + // Color mappings for different neon colors + const colorMap = { + cyan: 'border-cyan-400 shadow-cyan-400/50 dark:shadow-cyan-400/70', + fuchsia: 'border-fuchsia-400 shadow-fuchsia-400/50 dark:shadow-fuchsia-400/70', + blue: 'border-blue-400 shadow-blue-400/50 dark:shadow-blue-400/70', + purple: 'border-purple-500 shadow-purple-500/50 dark:shadow-purple-500/70', + green: 'border-emerald-500 shadow-emerald-500/50 dark:shadow-emerald-500/70', + pink: 'border-pink-500 shadow-pink-500/50 dark:shadow-pink-500/70' + }; + // Intensity mappings for glow strength + const intensityMap = { + low: 'shadow-[0_0_5px_0]', + medium: 'shadow-[0_0_10px_1px]', + high: 'shadow-[0_0_15px_2px]' + }; + return
+
+
{children}
+
; +}; +/** + * EdgeLitEffect - A component that adds an edge-lit glow effect + * + * This component creates a thin glowing line at the top of a container, + * simulating the effect of edge lighting. + * + * @param {Object} props - Component props + * @param {string} props.color - Color variant ('blue', 'purple', 'green', 'pink') + * @param {string} props.className - Additional CSS classes + */ +export const EdgeLitEffect: React.FC<{ + color?: 'blue' | 'purple' | 'green' | 'pink'; + className?: string; +}> = ({ + color = 'blue', + className = '' +}) => { + // Color mappings for different edge-lit colors + const colorMap = { + blue: 'bg-blue-500 shadow-[0_0_10px_2px_rgba(59,130,246,0.4)] dark:shadow-[0_0_20px_5px_rgba(59,130,246,0.7)]', + purple: 'bg-purple-500 shadow-[0_0_10px_2px_rgba(168,85,247,0.4)] dark:shadow-[0_0_20px_5px_rgba(168,85,247,0.7)]', + green: 'bg-emerald-500 shadow-[0_0_10px_2px_rgba(16,185,129,0.4)] dark:shadow-[0_0_20px_5px_rgba(16,185,129,0.7)]', + pink: 'bg-pink-500 shadow-[0_0_10px_2px_rgba(236,72,153,0.4)] dark:shadow-[0_0_20px_5px_rgba(236,72,153,0.7)]' + }; + return
; +}; \ No newline at end of file diff --git a/archon-ui-main/src/components/animations/DisconnectScreenAnimations.tsx b/archon-ui-main/src/components/animations/DisconnectScreenAnimations.tsx new file mode 100644 index 00000000..8d60b8ee --- /dev/null +++ b/archon-ui-main/src/components/animations/DisconnectScreenAnimations.tsx @@ -0,0 +1,175 @@ +import React, { useEffect, useRef } from 'react'; + +/** + * Disconnect Screen + * Frosted glass medallion with aurora borealis light show behind it + */ +export const DisconnectScreen: React.FC = () => { + const canvasRef = useRef(null); + + useEffect(() => { + const canvas = canvasRef.current; + if (!canvas) return; + + const ctx = canvas.getContext('2d'); + if (!ctx) return; + + canvas.width = window.innerWidth; + canvas.height = window.innerHeight; + + let time = 0; + + const drawAurora = () => { + // Create dark background with vignette + const gradient = ctx.createRadialGradient( + canvas.width / 2, canvas.height / 2, 0, + canvas.width / 2, canvas.height / 2, canvas.width / 1.5 + ); + gradient.addColorStop(0, 'rgba(0, 0, 0, 0.3)'); + gradient.addColorStop(1, 'rgba(0, 0, 0, 0.95)'); + ctx.fillStyle = gradient; + ctx.fillRect(0, 0, canvas.width, canvas.height); + + // Draw aurora waves with varying opacity + const colors = [ + { r: 34, g: 211, b: 238, a: 0.4 }, // Cyan + { r: 168, g: 85, b: 247, a: 0.4 }, // Purple + { r: 236, g: 72, b: 153, a: 0.4 }, // Pink + { r: 59, g: 130, b: 246, a: 0.4 }, // Blue + { r: 16, g: 185, b: 129, a: 0.4 }, // Green + ]; + + colors.forEach((color, index) => { + ctx.beginPath(); + + const waveHeight = 250; + const waveOffset = index * 60; + const speed = 0.001 + index * 0.0002; + + // Animate opacity for ethereal effect + const opacityWave = Math.sin(time * 0.0005 + index) * 0.2 + 0.3; + + for (let x = 0; x <= canvas.width; x += 5) { + const y = canvas.height / 2 + + Math.sin(x * 0.003 + time * speed) * waveHeight + + Math.sin(x * 0.005 + time * speed * 1.5) * (waveHeight / 2) + + Math.sin(x * 0.002 + time * speed * 0.5) * (waveHeight / 3) + + waveOffset - 100; + + if (x === 0) { + ctx.moveTo(x, y); + } else { + ctx.lineTo(x, y); + } + } + + // Create gradient for each wave with animated opacity + const waveGradient = ctx.createLinearGradient(0, canvas.height / 2 - 300, 0, canvas.height / 2 + 300); + waveGradient.addColorStop(0, `rgba(${color.r}, ${color.g}, ${color.b}, 0)`); + waveGradient.addColorStop(0.5, `rgba(${color.r}, ${color.g}, ${color.b}, ${opacityWave})`); + waveGradient.addColorStop(1, `rgba(${color.r}, ${color.g}, ${color.b}, 0)`); + + ctx.strokeStyle = waveGradient; + ctx.lineWidth = 4; + ctx.stroke(); + + // Add enhanced glow effect + ctx.shadowBlur = 40; + ctx.shadowColor = `rgba(${color.r}, ${color.g}, ${color.b}, 0.6)`; + ctx.stroke(); + ctx.shadowBlur = 0; + }); + + time += 16; + requestAnimationFrame(drawAurora); + }; + + drawAurora(); + + const handleResize = () => { + canvas.width = window.innerWidth; + canvas.height = window.innerHeight; + }; + + window.addEventListener('resize', handleResize); + + return () => { + window.removeEventListener('resize', handleResize); + }; + }, []); + + return ( +
+ + + {/* Glass medallion with frosted effect - made bigger */} +
+
+ {/* Glowing orb effect */} +
+ + {/* Frosted glass background */} +
+ + {/* Embossed logo - made bigger */} +
+ Archon +
+ + {/* Disconnected Text - Glass style with red glow */} +
+
+ + DISCONNECTED + +
+
+
+
+
+ ); +}; \ No newline at end of file diff --git a/archon-ui-main/src/components/bug-report/BugReportButton.tsx b/archon-ui-main/src/components/bug-report/BugReportButton.tsx new file mode 100644 index 00000000..fcc880cc --- /dev/null +++ b/archon-ui-main/src/components/bug-report/BugReportButton.tsx @@ -0,0 +1,54 @@ +import { Bug, Loader } from "lucide-react"; +import { Button } from "../ui/Button"; +import { BugReportModal } from "./BugReportModal"; +import { useBugReport } from "../../hooks/useBugReport"; + +interface BugReportButtonProps { + error?: Error; + variant?: "primary" | "secondary" | "ghost"; + size?: "sm" | "md" | "lg"; + className?: string; + children?: React.ReactNode; +} + +export const BugReportButton: React.FC = ({ + error, + variant = "ghost", + size = "md", + className = "", + children, +}) => { + const { isOpen, context, loading, openBugReport, closeBugReport } = + useBugReport(); + + const handleClick = () => { + openBugReport(error); + }; + + return ( + <> + + + {context && ( + + )} + + ); +}; diff --git a/archon-ui-main/src/components/bug-report/BugReportModal.tsx b/archon-ui-main/src/components/bug-report/BugReportModal.tsx new file mode 100644 index 00000000..bd321383 --- /dev/null +++ b/archon-ui-main/src/components/bug-report/BugReportModal.tsx @@ -0,0 +1,417 @@ +import { useState } from "react"; +import { motion, AnimatePresence } from "framer-motion"; +import { Bug, X, Send, Copy, ExternalLink, Loader } from "lucide-react"; +import { Button } from "../ui/Button"; +import { Input } from "../ui/Input"; +import { Card } from "../ui/Card"; +import { Select } from "../ui/Select"; +import { useToast } from "../../contexts/ToastContext"; +import { + bugReportService, + BugContext, + BugReportData, +} from "../../services/bugReportService"; + +interface BugReportModalProps { + isOpen: boolean; + onClose: () => void; + context: BugContext; +} + +export const BugReportModal: React.FC = ({ + isOpen, + onClose, + context, +}) => { + const [report, setReport] = useState>({ + title: `🐛 ${context.error.name}: ${context.error.message}`, + description: "", + stepsToReproduce: "", + expectedBehavior: "", + actualBehavior: context.error.message, + severity: "medium", + component: "not-sure", + }); + + const [submitting, setSubmitting] = useState(false); + const [submitted, setSubmitted] = useState(false); + const { showToast } = useToast(); + + const handleSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + + if (!report.description.trim()) { + showToast( + "Please provide a description of what you were trying to do", + "error", + ); + return; + } + + setSubmitting(true); + + try { + const bugReportData: BugReportData = { + ...report, + context, + }; + + const result = await bugReportService.submitBugReport(bugReportData); + + if (result.success) { + setSubmitted(true); + + if (result.issueNumber) { + // Direct API creation (maintainer with token) + showToast( + `Bug report created! Issue #${result.issueNumber} - maintainers will review it soon.`, + "success", + 8000, + ); + if (result.issueUrl) { + window.open(result.issueUrl, "_blank"); + } + } else { + // Manual submission (open source user - no token) + showToast( + "Opening GitHub to submit your bug report...", + "success", + 5000, + ); + if (result.issueUrl) { + // Force new tab/window opening + const newWindow = window.open( + result.issueUrl, + "_blank", + "noopener,noreferrer", + ); + if (!newWindow) { + // Popup blocked - show manual link + showToast( + "Popup blocked! Please allow popups or click the link in the modal.", + "warning", + 8000, + ); + } + } + } + } else { + // Fallback: copy to clipboard + const formattedReport = + bugReportService.formatReportForClipboard(bugReportData); + await navigator.clipboard.writeText(formattedReport); + + showToast( + "Failed to create GitHub issue, but bug report was copied to clipboard. Please paste it in a new GitHub issue.", + "warning", + 10000, + ); + } + } catch (error) { + console.error("Bug report submission failed:", error); + showToast( + "Failed to submit bug report. Please try again or report manually.", + "error", + ); + } finally { + setSubmitting(false); + } + }; + + const copyToClipboard = async () => { + const bugReportData: BugReportData = { ...report, context }; + const formattedReport = + bugReportService.formatReportForClipboard(bugReportData); + + try { + await navigator.clipboard.writeText(formattedReport); + showToast("Bug report copied to clipboard", "success"); + } catch { + showToast("Failed to copy to clipboard", "error"); + } + }; + + if (!isOpen) return null; + + return ( + + + e.stopPropagation()} + > + + {/* Header */} +
+
+ +

+ Report Bug +

+
+ +
+ + {submitted ? ( + /* Success State */ +
+
+ +
+

+ Bug Report Submitted! +

+

+ Thank you for helping improve Archon. Maintainers will review + your report and may comment @claude to trigger automatic + analysis and fixes. +

+ +
+ ) : ( + /* Form */ +
+ {/* Error Preview */} +
+
+ {context.error.name}: {context.error.message} +
+ {context.error.stack && ( +
+ + Stack trace + + 
+                        {context.error.stack}
+
+
+ )} +
+ + {/* Bug Title */} + + setReport((r) => ({ ...r, title: e.target.value })) + } + placeholder="Brief description of the bug" + required + /> + + {/* Severity & Component */} +
+ + setReport((r) => ({ ...r, component: e.target.value })) + } + options={[ + { + value: "knowledge-base", + label: "🔍 Knowledge Base / RAG", + }, + { value: "mcp-integration", label: "🔗 MCP Integration" }, + { value: "projects-tasks", label: "📋 Projects & Tasks" }, + { + value: "settings", + label: "⚙️ Settings & Configuration", + }, + { value: "ui", label: "🖥️ User Interface" }, + { + value: "infrastructure", + label: "🐳 Docker / Infrastructure", + }, + { value: "not-sure", label: "❓ Not Sure" }, + ]} + /> +
+ + {/* Description */} +
+ +