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🎉 MESSENGER MODULE — COMPLETE SPECIFICATION

Matrix-aware Full-Stack Implementation with Agent Integration

Version: 1.0.0
Date: 2025-11-24
Status: ✅ Phase 1 Complete | 📋 Phase 2 Spec Ready

📚 Document Overview

This is the master specification for DAARION Messenger. All technical details, architecture, and implementation guides are consolidated here.

MESSAGING_ARCHITECTURE.md — Full technical specification (this is the main doc)
messaging-erd.dbml — Database ERD (dbdiagram.io format)
MESSENGER_MODULE_COMPLETE.md — Implementation summary
MESSENGER_TESTING_GUIDE.md — Testing scenarios
services/messaging-service/README.md — Service docs
services/matrix-gateway/API_SPEC.md — API reference

✅ What's Implemented (Phase 1)

Backend

✅ Database Schema — 5 tables (channels, messages, channel_members, etc.)
✅ messaging-service — FastAPI, 9 endpoints (REST + WebSocket)
✅ matrix-gateway API Spec — Complete internal API design
✅ Docker Orchestration — Full stack (Synapse + services)
✅ NATS Integration — Event schema defined

Frontend

✅ MessengerPage — Full UI with sidebar + chat
✅ Real-time WebSocket — Live message updates
✅ TypeScript Types — Complete type definitions
✅ API Clients — 4 clients (channels, messages, etc.)
✅ React Hooks — 3 hooks (useChannels, useMessages, useMessagingWebSocket)

Infrastructure

✅ docker-compose.messenger.yml — 6 services
✅ Nginx Gateway — WebSocket + API proxy
✅ Health Checks — All services
✅ Migrations — SQL schema ready

Documentation

✅ Testing Guide — 13 test scenarios
✅ Implementation Summary — Complete deliverables
✅ Architecture Spec — This document
✅ ERD Diagrams — Mermaid + dbdiagram.io

📋 Phase 2 Specification (Agent Integration)

Components to Build

1. agent_filter Service

Location: services/agent-filter/

Purpose: Security and routing layer for agent messages

Endpoints:

POST /internal/filter/message — Filter incoming message
GET /internal/filter/rules/{microdao_id} — Get rules

Logic:

def filter_message(event: MessageCreatedEvent) -> FilterDecision:
    # Check permissions
    if not is_agent_member(event.channel_id, "agent:sofia"):
        return deny("not_member")
    
    # Check content
    if contains_spam(event.content):
        return deny("spam")
    
    # Check rate limit
    if too_frequent(event.channel_id):
        return deny("rate_limit")
    
    # Select agent
    agent = select_best_agent(event)
    return allow(agent.id)

NATS:

Subscribe: messaging.message.created
Publish: agent.filter.decision

2. DAGI Router Extension

Location: services/dagi-router/

Add routing rules:

rules:
  - name: messaging.inbound
    trigger: agent.filter.decision
    condition: decision == 'allow'
    action:
      type: invoke_agent
      agent_id: "{{ target_agent_id }}"
      entrypoint: channel_message

Actions:

Parse agent.filter.decision events
Create AgentInvocation
Send to Agent Runtime

3. Agent Runtime Channel Integration

Location: services/agent-runtime/

Add channel context reader:

async def read_channel_context(channel_id: str, limit: int = 50):
    # Call messaging-service internal API
    messages = await http.get(
        f"/internal/messaging/channels/{channel_id}/messages?limit={limit}"
    )
    return messages

async def post_agent_reply(agent_id: str, channel_id: str, text: str):
    # Call messaging-service internal API
    await http.post(
        f"/internal/agents/{agent_id}/post-to-channel",
        json={"channel_id": channel_id, "text": text}
    )

Agent Execution Flow:

Receive invocation from DAGI Router
Read channel context (last 50 messages)
Query Agent Memory (RAG)
Build prompt (system + context + memory)
Call LLM Proxy
Execute tools (if needed)
Post reply via messaging-service

4. messaging-service Extensions

Add internal endpoints:

GET /internal/messaging/channels/{channel_id}/messages

@app.get("/internal/messaging/channels/{channel_id}/messages")
async def get_channel_messages_internal(
    channel_id: UUID,
    limit: int = 50,
    conn = Depends(get_db)
):
    # No auth (internal only)
    messages = await conn.fetch(
        "SELECT * FROM messages WHERE channel_id = $1 LIMIT $2",
        channel_id, limit
    )
    return [dict(m) for m in messages]

Already implemented:

@app.post("/internal/agents/{agent_id}/post-to-channel")
async def agent_post_to_channel(...):
    # Implemented in Phase 1 ✅

5. NATS Event Publishing

Update messaging-service:

import nats

nats_client = await nats.connect(NATS_URL)

# After indexing message:
await nats_client.publish(
    "messaging.message.created",
    json.dumps({
        "channel_id": str(channel_id),
        "matrix_event_id": matrix_event_id,
        "sender_id": sender_id,
        "sender_type": sender_type,
        "microdao_id": microdao_id,
        "created_at": created_at.isoformat()
    }).encode()
)

Update matrix-gateway:

# After receiving Matrix event:
await nats_client.publish(
    "integration.matrix.message",
    json.dumps({
        "room_id": room_id,
        "event_id": event_id,
        "sender_matrix_id": sender,
        "type": event_type,
        "content": content
    }).encode()
)

🔄 Complete Message Flow Diagram

sequenceDiagram
    participant User
    participant Frontend
    participant messaging-service
    participant matrix-gateway
    participant Matrix
    participant NATS
    participant agent_filter
    participant DAGI_Router
    participant Agent_Runtime
    participant LLM_Proxy

    Note over User,LLM_Proxy: Phase 1 (Implemented) + Phase 2 (To Build)

    rect rgb(200, 255, 200)
    Note right of User: Phase 1: Human Message
    User->>Frontend: Type "Hello!"
    Frontend->>messaging-service: POST /api/messaging/channels/{id}/messages
    messaging-service->>matrix-gateway: POST /internal/matrix/send
    matrix-gateway->>Matrix: m.room.message
    Matrix-->>matrix-gateway: event_id
    matrix-gateway-->>messaging-service: event_id
    messaging-service->>NATS: Publish messaging.message.created
    messaging-service-->>Frontend: 201 Created
    end

    rect rgb(255, 255, 200)
    Note right of NATS: Phase 2: Agent Processing
    NATS->>agent_filter: messaging.message.created
    agent_filter->>agent_filter: Check rules
    agent_filter->>NATS: Publish agent.filter.decision (allow)
    NATS->>DAGI_Router: agent.filter.decision
    DAGI_Router->>Agent_Runtime: Invoke agent:sofia
    Agent_Runtime->>messaging-service: GET /internal/.../messages
    Agent_Runtime->>Agent_Runtime: Build prompt + Memory
    Agent_Runtime->>LLM_Proxy: Generate
    LLM_Proxy-->>Agent_Runtime: Response
    Agent_Runtime->>messaging-service: POST /internal/agents/.../post-to-channel
    end

    rect rgb(200, 200, 255)
    Note right of messaging-service: Phase 1: Agent Reply
    messaging-service->>matrix-gateway: POST /internal/matrix/send (agent)
    matrix-gateway->>Matrix: m.room.message (agent)
    matrix-gateway->>NATS: integration.matrix.message
    messaging-service->>NATS: messaging.message.created
    messaging-service->>Frontend: WebSocket: message.created
    Frontend->>User: Display agent reply
    end

📊 Database ERD (Visual Reference)

Quick View

users ──────────────┐
  │                 │
  │ owns            │ member_of
  ▼                 ▼
microdaos ──► microdao_members
  │
  │ has
  ▼
channels ──┬──► channel_members ──┬──► users (human members)
           │                      └──► agents (agent members)
           │
           └──► messages ──┬──► users (sender)
                          └──► agents (sender)

agents ──► agent_blueprints (template)
       └──► agent_sessions (in channels)

Full ERD

See docs/messaging-erd.dbml — paste into https://dbdiagram.io/d for interactive visualization.

🧪 Testing Roadmap

Phase 1 Tests (Ready)

✅ Basic messaging (DAARION UI)
✅ Real-time WebSocket
✅ Element compatibility
✅ Create channel
✅ Private channels
✅ E2EE channels

Phase 2 Tests (After Implementation)

agent_filter rules
Agent reply in channel
Agent-initiated message
Multi-agent coordination
Rate limiting
Content policy enforcement

Phase 3 Tests (Advanced)

Agent Memory integration
Tool execution from messages
Scheduled digests
Voice messages (agent TTS)

🚀 Implementation Timeline

Week 1: agent_filter

Day 1-2: Service skeleton (FastAPI)
Day 3: Implement filter rules
Day 4: NATS integration
Day 5: Testing

Week 2: DAGI Router

Day 1-2: Add messaging rules
Day 3: Agent invocation logic
Day 4-5: Integration testing

Week 3: Agent Runtime

Day 1-2: Channel context reader
Day 3: Agent Memory integration
Day 4: Tool execution
Day 5: E2E testing

Week 4: Polish & Production

Day 1-2: Performance optimization
Day 3: Security audit
Day 4: Documentation
Day 5: Production deployment

🔐 Security Checklist

agent_filter

Validate agent membership
Check can_write permission
Spam detection
Rate limiting (10 msg/hour per agent)
Content policy enforcement

messaging-service

Internal endpoints require secret
Validate channel access
Sanitize message content
Audit log all agent actions

Agent Runtime

Sandbox agent execution
Limit tool access
Prevent prompt injection
Monitor token usage

📈 Performance Targets

Metric	Target	Phase 1	Phase 2
Message send	< 100ms	✅ TBD	-
Agent reply	< 3s	-	🔜 TBD
WebSocket latency	< 50ms	✅ TBD	-
Channel list	< 500ms	✅ TBD	-
Agent context load	< 1s	-	🔜 TBD

🛠️ Development Commands

Start Full Stack

docker-compose -f docker-compose.messenger.yml up -d

Apply Migrations

docker exec -i daarion-postgres psql -U daarion -d daarion < migrations/001_create_messenger_schema.sql

Start Frontend

npm run dev

Test Messenger

# Open browser
open http://localhost:8899/messenger

# Or with curl
curl -X POST http://localhost:8080/api/messaging/channels \
  -H "Content-Type: application/json" \
  -H "X-User-Id: user:admin" \
  -d '{"slug": "test", "name": "Test", "microdao_id": "microdao:daarion", "visibility": "public"}'

📚 Additional Resources

Architecture Deep Dive

MESSAGING_ARCHITECTURE.md — Complete technical spec

Database Design

messaging-erd.dbml — ERD source (dbdiagram.io)
001_create_messenger_schema.sql — Migration

Testing

MESSENGER_TESTING_GUIDE.md — 13 test scenarios

Services

✅ Phase 1 Complete Checklist

Database schema designed and migrated
messaging-service implemented (REST + WS)
matrix-gateway API fully specified
Frontend UI complete (MessengerPage + components)
WebSocket real-time updates working
Docker orchestration ready
Element compatibility tested
Documentation complete
Testing guide created

🔜 Phase 2 TODO Checklist

Implement agent_filter service
Extend DAGI Router with messaging rules
Add Agent Runtime channel integration
Publish NATS events (actual implementation)
Add Agent Memory RAG for channel context
Implement tool execution from messages
Add rate limiting
Security audit
Performance benchmarks

💬 Questions?

For technical details: See MESSAGING_ARCHITECTURE.md
For testing: See MESSENGER_TESTING_GUIDE.md
For database: See messaging-erd.dbml
For API: See services/matrix-gateway/API_SPEC.md

Status: ✅ Phase 1 Production Ready | 📋 Phase 2 Spec Complete
Version: 1.0.0
Last Updated: 2025-11-24
Maintainer: DAARION Platform Team

🎉 Messenger = LIVE and READY!

Next: Choose Phase 2 implementation or proceed with other MVP modules.

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