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- Created logs/ structure (sessions, operations, incidents) - Added session-start/log/end scripts - Installed Git hooks for auto-logging commits/pushes - Added shell integration for zsh - Created CHANGELOG.md - Documented today's session (2026-01-10)
393 lines
8.7 KiB
Markdown
393 lines
8.7 KiB
Markdown
# 🎉 PHASE 2 AGENT INTEGRATION — READY TO START!
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**All specifications complete. Ready for implementation.**
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**Date:** 2025-11-24
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**Status:** 📋 Ready
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**Estimated Time:** 4-6 weeks
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---
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## 📚 What We Have
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### ✅ Phase 1: Messenger Core (COMPLETE)
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- **23 files** created/updated
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- **Database:** 5 tables, migrations ready
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- **Backend:** messaging-service (FastAPI, 9 endpoints + WebSocket)
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- **Frontend:** Full UI (/messenger route)
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- **Infrastructure:** docker-compose with 6 services
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- **Documentation:** 4 complete guides
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**Status:** Production ready, tested, documented
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---
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## 📋 Phase 2: What's Next
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### 🎯 Goal
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Make Messenger **fully agent-aware**:
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- Agents automatically reply to messages
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- Smart filtering (when/which agent responds)
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- Full LLM + Memory integration
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- Real-time agent interactions
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### 🔧 Components to Build
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#### 1. agent_filter Service
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**Purpose:** Security & routing layer
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**Files:**
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- `services/agent-filter/main.py`
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- `services/agent-filter/models.py`
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- `services/agent-filter/rules.py`
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- `services/agent-filter/config.yaml`
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**Features:**
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- Subscribe to NATS `messaging.message.created`
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- Apply filtering rules (permissions, content, timing)
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- Decide which agent should reply
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- Publish to `agent.filter.decision`
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**Time:** 1 week
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---
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#### 2. DAGI Router Extension
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**Purpose:** Route agent invocations
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**Changes:**
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- Subscribe to `agent.filter.decision`
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- Create `AgentInvocation` on "allow"
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- Route to agent-runtime via `router.invoke.agent`
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**Time:** 3-4 days
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---
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#### 3. agent-runtime Service
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**Purpose:** Execute agent logic
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**Files:**
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- `services/agent-runtime/main.py`
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- `services/agent-runtime/llm_client.py`
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- `services/agent-runtime/messaging_client.py`
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- `services/agent-runtime/memory_client.py`
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**Features:**
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- Subscribe to `router.invoke.agent`
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- Load agent blueprint
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- Read channel history (last 50 messages)
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- Query Agent Memory (RAG)
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- Call LLM Proxy
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- Post reply to channel
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**Time:** 2 weeks
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---
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#### 4. NATS Event Publishing
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**Purpose:** Real event-driven architecture
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**Changes:**
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- messaging-service: Publish actual NATS events
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- matrix-gateway: Publish Matrix events to NATS
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**Time:** 2-3 days
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---
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### 📊 Complete Flow
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```
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User types "Hello!" in channel
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↓
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messaging-service → Matrix → NATS: messaging.message.created
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↓
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agent_filter: Check rules
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↓ (allow)
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NATS: agent.filter.decision
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↓
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DAGI Router: Create AgentInvocation
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↓
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NATS: router.invoke.agent
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↓
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agent-runtime:
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1. Read channel history
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2. Query memory
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3. Build prompt
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4. Call LLM
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5. Post reply
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↓
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messaging-service → Matrix → Frontend: Agent reply appears
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```
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---
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## 🔜 Phase 2.5: Agent Hub (Parallel Track)
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**Can start in parallel with Phase 2 backend work**
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### Frontend Focus
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- 3-column layout (Agents | Chat | Context)
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- Direct channels with agents
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- Reuse Messenger components
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- Context panel (projects, capabilities)
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### Time: 2 weeks
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---
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## 📁 Documentation Structure
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```
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docs/
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├── INDEX.md ← NEW: Master navigation
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├── tasks/
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│ ├── README.md ← NEW: Tasks overview
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│ ├── TASK_PHASE2_AGENT_INTEGRATION.md ← NEW: Complete spec
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│ └── TASK_AGENT_HUB_MVP.md ← NEW: Complete spec
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├── MESSAGING_ARCHITECTURE.md ← UPDATED: Phase 2 spec
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├── MESSENGER_COMPLETE_SPECIFICATION.md
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├── messaging-erd.dbml ← NEW: ERD for dbdiagram.io
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└── MESSENGER_TESTING_GUIDE.md
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```
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---
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## 🚀 How to Start
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### Option A: Use Cursor AI
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```bash
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# 1. Copy complete task
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cat docs/tasks/TASK_PHASE2_AGENT_INTEGRATION.md
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# 2. Paste into Cursor as single prompt
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# 3. Let Cursor implement step-by-step
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# 4. Review and test each component
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```
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### Option B: Manual Implementation
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```bash
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# 1. Read specifications
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open docs/tasks/TASK_PHASE2_AGENT_INTEGRATION.md
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open docs/MESSAGING_ARCHITECTURE.md
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# 2. Start with agent_filter
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mkdir -p services/agent-filter
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cd services/agent-filter
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# Follow task instructions...
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# 3. Test each component
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docker-compose -f docker-compose.agents.yml up -d
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# 4. Move to next component
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```
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---
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## 📝 Acceptance Criteria
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### Phase 2 Complete When:
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- ✅ Human sends message in channel
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- ✅ agent_filter processes event
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- ✅ DAGI Router creates invocation
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- ✅ agent-runtime generates reply
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- ✅ Agent reply appears in Messenger UI
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- ✅ Agent reply appears in Element
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- ✅ All services pass health checks
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- ✅ E2E test passes (< 5s latency)
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### Agent Hub Complete When:
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- ✅ `/hub` route loads without errors
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- ✅ Agent list displays correctly
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- ✅ Direct channel created on agent selection
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- ✅ Chat works (reusing Messenger)
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- ✅ Context panel shows data
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- ✅ Agent replies work in direct channel
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---
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## 🎯 Success Metrics
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| Metric | Target |
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|--------|--------|
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| Agent reply latency | < 3s |
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| Agent reply accuracy | > 80% helpful |
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| System uptime | > 99% |
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| WebSocket latency | < 50ms |
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| Database queries | < 100ms |
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| Memory queries | < 500ms |
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---
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## 🔗 Key Files
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### Specifications
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- [TASK_PHASE2_AGENT_INTEGRATION.md](./docs/tasks/TASK_PHASE2_AGENT_INTEGRATION.md) — ⭐ Main task
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- [TASK_AGENT_HUB_MVP.md](./docs/tasks/TASK_AGENT_HUB_MVP.md) — ⭐ Agent Hub
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- [MESSAGING_ARCHITECTURE.md](./docs/MESSAGING_ARCHITECTURE.md) — Technical deep dive
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### Completed Work
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- [MESSENGER_MODULE_COMPLETE.md](./docs/MESSENGER_MODULE_COMPLETE.md) — Phase 1 summary
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- [messaging-erd.dbml](./docs/messaging-erd.dbml) — Database ERD
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### Testing
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- [MESSENGER_TESTING_GUIDE.md](./docs/MESSENGER_TESTING_GUIDE.md) — 13 scenarios
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---
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## 💡 Implementation Tips
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### For agent_filter:
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1. Start with basic rules (no agent loops)
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2. Add quiet hours
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3. Add content filtering
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4. Test with mock NATS events
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### For DAGI Router:
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1. Extend existing router
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2. Add new NATS subscription
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3. Test routing logic separately
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4. Integrate with agent-runtime
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### For agent-runtime:
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1. Start with mock LLM responses
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2. Add channel history reading
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3. Add memory integration
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4. Add real LLM calls
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5. Add posting back to channel
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### For Agent Hub:
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1. Start with UI skeleton
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2. Reuse Messenger components
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3. Add backend API
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4. Connect agent integration
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---
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## 🎓 Learning Resources
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### Understanding the Architecture
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- Read [MESSAGING_ARCHITECTURE.md](./docs/MESSAGING_ARCHITECTURE.md)
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- Review sequence diagrams
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- Check ERD at https://dbdiagram.io/d
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### Understanding NATS
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- NATS subjects: `messaging.*`, `agent.*`, `router.*`
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- Event catalog in [42_nats_event_streams_and_event_catalog.md](./docs/cursor/42_nats_event_streams_and_event_catalog.md)
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### Understanding Matrix
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- [matrix-gateway/API_SPEC.md](./services/matrix-gateway/API_SPEC.md)
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- Element client testing guide
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---
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## 🔧 Development Environment
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### Required Services
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- ✅ PostgreSQL (port 5432)
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- ✅ NATS JetStream (port 4222)
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- ✅ Matrix Synapse (port 8008)
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- ✅ messaging-service (port 7004)
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- 🔜 matrix-gateway (port 7003)
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- 🔜 agent-filter (port 7005)
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- 🔜 agent-runtime (port 7006)
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- 🔜 DAGI Router (port TBD)
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### Docker Stack
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```bash
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# Phase 1 (running)
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docker-compose -f docker-compose.messenger.yml up -d
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# Phase 2 (to create)
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docker-compose -f docker-compose.agents.yml up -d
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```
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---
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## 📅 Timeline
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### Week 1: agent_filter
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- Days 1-2: Service skeleton
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- Day 3: Rules engine
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- Day 4: NATS integration
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- Day 5: Testing
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### Week 2: DAGI Router
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- Days 1-2: Router extension
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- Day 3: NATS subscription
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- Days 4-5: Integration testing
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### Week 3-4: agent-runtime
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- Days 1-3: Service skeleton + channel reading
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- Days 4-6: Memory integration
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- Days 7-8: LLM integration
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- Days 9-10: Posting + testing
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### Week 5: Integration & Testing
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- Days 1-2: E2E testing
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- Days 3-4: Performance optimization
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- Day 5: Documentation
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### Week 6: Agent Hub (Parallel)
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- Days 1-2: Backend API
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- Days 3-4: Frontend UI
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- Day 5: Integration + testing
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---
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## ✅ Next Actions
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### Immediate (Today):
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1. ✅ Review TASK_PHASE2_AGENT_INTEGRATION.md
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2. ✅ Review MESSAGING_ARCHITECTURE.md
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3. ✅ Decide: Cursor AI or manual implementation
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### This Week:
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1. 🔜 Set up agent-filter service skeleton
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2. 🔜 Create NATS test environment
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3. 🔜 Implement basic filtering rules
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### Next Week:
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1. 🔜 Extend DAGI Router
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2. 🔜 Start agent-runtime skeleton
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3. 🔜 Begin Agent Hub frontend
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---
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## 🎉 You're Ready!
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All specifications are complete. Pick a starting point:
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**A) Start with agent_filter** → [TASK_PHASE2](./docs/tasks/TASK_PHASE2_AGENT_INTEGRATION.md)
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**B) Start with Agent Hub UI** → [TASK_AGENT_HUB](./docs/tasks/TASK_AGENT_HUB_MVP.md)
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**C) Review architecture first** → [MESSAGING_ARCHITECTURE.md](./docs/MESSAGING_ARCHITECTURE.md)
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---
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**Status:** 📋 All specs ready, waiting for implementation
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**Version:** 1.0.0
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**Last Updated:** 2025-11-24
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**LET'S BUILD!** 🚀
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