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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.

Related Documents

  1. MESSAGING_ARCHITECTURE.md — Full technical specification (this is the main doc)
  2. messaging-erd.dbml — Database ERD (dbdiagram.io format)
  3. MESSENGER_MODULE_COMPLETE.md — Implementation summary
  4. MESSENGER_TESTING_GUIDE.md — Testing scenarios
  5. services/messaging-service/README.md — Service docs
  6. 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:

  1. Receive invocation from DAGI Router
  2. Read channel context (last 50 messages)
  3. Query Agent Memory (RAG)
  4. Build prompt (system + context + memory)
  5. Call LLM Proxy
  6. Execute tools (if needed)
  7. 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

Database Design

Testing

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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