Commit Graph

10 Commits

Author SHA1 Message Date
anthonyrawlins
268214d971 Major WHOOSH system refactoring and feature enhancements
- Migrated from HIVE branding to WHOOSH across all components
- Enhanced backend API with new services: AI models, BZZZ integration, templates, members
- Added comprehensive testing suite with security, performance, and integration tests
- Improved frontend with new components for project setup, AI models, and team management
- Updated MCP server implementation with WHOOSH-specific tools and resources
- Enhanced deployment configurations with production-ready Docker setups
- Added comprehensive documentation and setup guides
- Implemented age encryption service and UCXL integration

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-27 08:34:48 +10:00
anthonyrawlins
0e9844ef13 Fix hardcoded paths after workspace restructure
Update all hardcoded paths from ~/AI/secrets/* to ~/chorus/business/secrets/*
and ~/AI/projects/* to ~/chorus/project-queues/active/* in WHOOSH project files
after workspace reorganization.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-05 11:12:03 +10:00
anthonyrawlins
e89f2f4b7b Add comprehensive development roadmap via GitHub Issues
Created 10 detailed GitHub issues covering:
- Project activation and management UI (#1-2)
- Worker node coordination and visualization (#3-4)
- Automated GitHub repository scanning (#5)
- Intelligent model-to-issue matching (#6)
- Multi-model task execution system (#7)
- N8N workflow integration (#8)
- Hive-Bzzz P2P bridge (#9)
- Peer assistance protocol (#10)

Each issue includes detailed specifications, acceptance criteria,
technical implementation notes, and dependency mapping.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-12 19:41:01 +10:00
anthonyrawlins
ca18476efc Implement comprehensive API documentation system
 Features:
- Comprehensive Pydantic response models with examples
- Enhanced FastAPI configuration with rich OpenAPI metadata
- Centralized error handling with standardized error codes
- Professional Swagger UI styling and branding
- Health check endpoints with detailed component status
- Type-safe request/response models for all endpoints

📊 Coverage:
- Agent Management API fully documented
- Standardized error responses across all endpoints
- Interactive API documentation with try-it-now functionality
- Custom OpenAPI schema with authentication schemes

🛠️ Technical Improvements:
- Created app/models/responses.py with comprehensive models
- Added app/core/error_handlers.py for centralized error handling
- Enhanced app/api/agents.py with detailed documentation
- Custom documentation configuration in app/docs_config.py
- Global exception handlers for consistent error responses

🌐 Access Points:
- Swagger UI: /docs
- ReDoc: /redoc
- OpenAPI JSON: /openapi.json

This establishes professional-grade API documentation that matches
Hive's technical excellence and provides developers with comprehensive,
interactive documentation for efficient integration.

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-12 10:21:08 +10:00
anthonyrawlins
f3cbb5c6f7 Add environment configuration and local development documentation
- Parameterize CORS_ORIGINS in docker-compose.swarm.yml
- Add .env.example with configuration options
- Create comprehensive LOCAL_DEVELOPMENT.md guide
- Update README.md with environment variable documentation
- Provide alternatives for local development without production domain

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-10 18:20:52 +10:00
anthonyrawlins
2915ee9aa7 🎉 Complete CCLI Integration: Phase 4 (MCP Server Updates)
IMPLEMENTATION COMPLETE: Successfully integrated Google Gemini CLI as
mixed agent type in Hive distributed AI platform.

## Phase 4 Achievements:
 Enhanced MCP tools with CLI agent support
 Added hive_register_cli_agent, hive_get_cli_agents tools
 Updated HiveClient interface for CLI agent management
 Mixed agent type coordination via MCP
 Comprehensive error handling and user feedback

## Key Features:
- CLI agent registration with health checks
- Mixed agent dashboard (🤖 Ollama +  CLI)
- Predefined agent quick setup (walnut-gemini, ironwood-gemini)
- SSH-based task execution with connection pooling
- Complete backward compatibility

## Technical Stack:
- MCP Tools: CLI agent management interface
- HiveClient: Enhanced API client with CLI support
- TypeScript: Full type safety for mixed agent operations
- Error Handling: Comprehensive CLI connectivity validation

## Production Ready:
 16 MCP tools with CLI agent coverage
 Mixed agent type task coordination
 Health monitoring and statistics collection
 Robust SSH execution with timeout handling
 Integration tested and validated

Ready for hybrid AI orchestration: 5 Ollama + 2 CLI agents

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-10 12:11:27 +10:00
anthonyrawlins
fc0eec91ef Complete Hive platform functionality and expand cluster to 7 agents
Major Features Added:
- Fix Socket.IO connectivity by updating Dockerfile to use socket_app
- Resolve distributed workflows API to return arrays instead of errors
- Expand agent coverage from 3 to 7 agents (added OAK and ROSEWOOD)
- Create comprehensive systemd service for MCP server with auto-discovery
- Add daemon mode with periodic agent discovery every 5 minutes
- Implement comprehensive test suite with 100% pass rate

Infrastructure Improvements:
- Enhanced database connection handling with retry logic
- Improved agent registration with persistent storage
- Added proper error handling for distributed workflows endpoint
- Created management scripts for service lifecycle operations

Agent Cluster Expansion:
- ACACIA: deepseek-r1:7b (kernel_dev)
- WALNUT: starcoder2:15b (pytorch_dev)
- IRONWOOD: deepseek-coder-v2 (profiler)
- OAK: codellama:latest (docs_writer)
- OAK-TESTER: deepseek-r1:latest (tester)
- ROSEWOOD: deepseek-coder-v2:latest (kernel_dev)
- ROSEWOOD-VISION: llama3.2-vision:11b (tester)

System Status: All 7 agents healthy, Socket.IO operational, MCP server fully functional

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-10 08:41:34 +10:00
anthonyrawlins
8c3adf6d8f Implement single domain architecture for Hive platform
- Replace separate hive-api.home.deepblack.cloud subdomain with unified hive.home.deepblack.cloud
- Update Traefik routing: /api/* → backend, /* → frontend with proper priorities
- Add /api/health endpoint while maintaining /health for Docker health checks
- Update Socket.IO configuration to use single domain
- Fix CORS settings for consolidated domain
- Update MCP server endpoint to use /api path prefix
- Update all documentation to reflect single domain architecture

System now fully operational with simplified routing and proper SSL certificates.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-09 21:52:03 +10:00
anthonyrawlins
dba1eac6b1 Update MCP server to use domain-specific endpoints
Changes:
- Updated default endpoints to use https://hive.home.deepblack.cloud
- Added support for HIVE_TIMEOUT environment variable
- Created .env.example with multiple deployment configurations
- Updated Claude Desktop configuration for production/development
- Updated README with comprehensive configuration guide

Production endpoints:
- API: https://hive.home.deepblack.cloud
- WebSocket: wss://hive.home.deepblack.cloud

Development fallback to localhost still available via env vars.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-07 22:33:26 +10:00
anthonyrawlins
d7ad321176 Initial commit: Complete Hive distributed AI orchestration platform
This comprehensive implementation includes:
- FastAPI backend with MCP server integration
- React/TypeScript frontend with Vite
- PostgreSQL database with Redis caching
- Grafana/Prometheus monitoring stack
- Docker Compose orchestration
- Full MCP protocol support for Claude Code integration

Features:
- Agent discovery and management across network
- Visual workflow editor and execution engine
- Real-time task coordination and monitoring
- Multi-model support with specialized agents
- Distributed development task allocation

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-07 21:44:31 +10:00