Feature/visual agent meeting room#697
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executiveusa wants to merge 4 commits intostitionai:mainfrom
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… Integrations - Add AGENTS.md for agent profile documentation - Create brand architecture for Bambu (Global) and La Mariposa (LATAM) - Initialize persistent memory system with clawdbot/OpenClaw framework - Add canonical logging system for all operations - Create GitHub, Coolify, Hostinger, Cloudflare integrations - Add CLI tools for agent operations - Include comprehensive repo inventory (306 repos scanned) - Configure secrets management with .env protection 🤖 Generated by Bambu - GitHub Agent Secretary
- Add A2A Protocol integration for agent-to-agent communication - Add CAMEL Framework integration for multi-agent collaboration - Add MetaGPT integration for software development with Alex - Add Pauli (Planner) and Synthia (Executor) subagent architecture - Add Eleven Labs voice synthesis integration - Add Twilio phone call integration - Add Vercel CLI integration for deployments - Add repo scanner and security scanner cron jobs - Add Bambu heart and soul JSON identity files - Update AGENTS.md with full capabilities matrix
## Visual Agent Meeting Room - Real-time meeting room for BambuVerse agents (Bambu, Pauli, Synthia, Alex) - WebSocket-based communication for agent interactions - Agent presence tracking with heartbeats - Meeting scheduling with cron-based recurring meetings - Agent invitation system - Visual UI components (MeetingRoom, AgentAvatar, ChatBubble, MeetingScheduler, InvitationPanel) ## ARCHON X Visualization System - Next.js 14 frontend with TypeScript and Tailwind CSS - Detroit 2056 skyline 3D scene with Three.js - Louie Newton landing page with glass morphism design - Agent dashboard with dual-crew visualization - FastAPI backend with WebSocket support - Pauli (Analytics) and Synthia (Creative) agent implementations - Docker deployment configuration ## Components Added - src/meeting/models.py - Data models for meetings, presence, invitations - src/meeting/meeting_room.py - Real-time room state management - src/meeting/meeting_scheduler.py - Cron-based meeting scheduling - src/meeting/agent_presence.py - Presence tracking - src/meeting/invitation_system.py - Agent invitations - src/cron/agent_meeting.py - Meeting trigger cron job - ui/src/lib/components/MeetingRoom.svelte - Visual meeting space - ui/src/lib/components/AgentAvatar.svelte - Agent avatars with status - ui/src/lib/components/ChatBubble.svelte - Chat visualization - ui/src/lib/components/MeetingScheduler.svelte - Scheduling UI - ui/src/lib/components/InvitationPanel.svelte - Invitation management - visualization/* - Complete ARCHON X frontend - core/* - ARCHON X backend with FastAPI Co-authored-by: Bambu <bambu@executiveusa>
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Pauli Was Here |
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Pull request overview
This PR introduces a comprehensive visual agent meeting room system and ARCHON X visualization platform for the devika-agent project. The implementation adds real-time agent communication, meeting scheduling with cron support, agent presence tracking, and invitation systems, along with a Next.js-based visualization dashboard.
Changes:
- Visual agent meeting room with real-time WebSocket communication
- Meeting scheduler with cron-based recurring meetings
- Agent presence tracking and invitation system
- ARCHON X visualization dashboard with Next.js 14 and Three.js
- Multiple service integrations (Vercel, Twilio, ElevenLabs, Cloudflare, Coolify, Hostinger)
- Comprehensive logging and security scanning utilities
Reviewed changes
Copilot reviewed 70 out of 76 changed files in this pull request and generated 1 comment.
Show a summary per file
| File | Description |
|---|---|
| src/meeting/models.py | Data models for meetings, presence, invitations |
| src/meeting/meeting_scheduler.py | Cron-based meeting scheduling service |
| src/meeting/invitation_system.py | Agent invitation management |
| ui/src/routes/meeting/+page.svelte | Meeting room page component |
| ui/src/lib/components/*.svelte | Meeting UI components (5 files) |
| visualization/* | Next.js ARCHON X dashboard (8 files) |
| core/agents/*.py | Pauli and Synthia agent implementations |
| core/api/main.py | FastAPI backend with WebSocket support |
| src/integrations/* | External service integrations (6 files) |
| requirements.txt | Updated Python dependencies |
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| # Safe evaluation (in production, use a proper math parser) | ||
| result_value = eval(expression, {"__builtins__": {}}, {}) |
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The eval() function with an empty builtins dict is used for mathematical computation. This is a security risk as it can still execute arbitrary Python code. Use a proper math expression parser library like numexpr or ast.literal_eval for safer evaluation of mathematical expressions.
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