# Orchestration & Integration Summary
**Date**: 2025-01-25
**Projects**: Session-Buddy, Mahavishnu, Oneiric, FastBlocks, SplashSand

---

## 📋 Questions Answered

### 1. Session-Buddy + Qwen Terminal Integration?

**Answer**: ✅ **YES, possible via hooks**

**Current State**:
- Session-Buddy has SessionStart/SessionEnd hooks
- Can trigger arbitrary shell commands
- Mahavishnu has TerminalManager for iTerm2/mcpretentious

**Integration Needed**:
```python
# Create Qwen hook plugin (2-3 hours)
SessionStart Hook → "qwen session start --project {project}"
SessionEnd Hook → "qwen session stop --project {project}"
```

**Files to Create**:
- `session_buddy/integrations/qwen_hooks.py`
- `session_buddy/integrations/qwen_bridge.py`

---

### 2. Register Custom Agents as Task Subagents?

**Answer**: ✅ **YES, simple YAML files**

**How to Register**:
```bash
# Create agent file
cat > /Users/les/.claude/agents/fastblocks-architect.md <<'EOF'
---
name: fastblocks-architect
description: FastBlocks framework specialist
model: sonnet
---
# FastBlocks Architecture Agent
[Agent instructions...]
EOF
```

**Usage**:
```python
Task(
    subagent_type="fastblocks-architect",
    prompt="Design user authentication block",
    description="Design FastBlocks auth block"
)
```

**Agents to Create**:
- `fastblocks-architect.md` - FastBlocks framework specialist
- `splashsand-specialist.md` - SplashSand cloud orchestration specialist

---

### 3. Mahavishnu Terminal vs K8s Orchestration?

**Answer**: ✅ **Same pattern, separate implementations**

**Current State**:
- ✅ **TerminalManager**: Implemented (iTerm2, mcpretentious)
- ❌ **K8sManager**: Doesn't exist yet
- ❌ **CloudRunManager**: Doesn't exist yet

**Architecture Pattern**:
```python
# All orchestrators should follow this pattern
class OrchestratorAdapter(ABC):
    async def launch_instances(profile, count) -> List[str]
    async def execute_command(instance_id, command) -> Dict
    async def cleanup(instance_id) -> None
```

**Implementation Status**:
- **TerminalManager** ✅: Working, production-ready
- **K8sManager** ❌: Needs to be built
- **CloudRunManager** ❌: Needs to be built

**Unification Needed**:
- Create `OrchestratorAdapter` base class
- Refactor `TerminalManager` to use base class
- Create `OrchestratorManager` to manage multiple adapters

---

### 4. Can Mahavishnu Orchestrate Cloud Run?

**Answer**: ⚠️ **Yes, but needs CloudRunManager**

**Current State**:
- ✅ **Cloud Run MCP Server**: Exists and configured
- ❌ **CloudRunManager**: Doesn't exist yet
- ❌ **Orchestration Wrapper**: Not implemented

**What Needs Building**:
```python
# mahavishnu/cloudrun/manager.py
class CloudRunManager:
    """Manage Cloud Run services like terminal sessions."""

    async def launch_services(service_name, count) -> List[str]
    async def execute_command(service_id, command) -> Dict
    async def scale_service(service_id, instances) -> None
```

**Estimate**: 12 hours to build

**Use Cases**:
- FastBlocks: Deploy blocks as Cloud Run services
- SplashSand: Deploy sandcastles with multiple services

---

### 5. Beyond Coding - What Can Be Orchestrated?

**Answer**: ✅ **Yes, many things!**

**Currently Orchestrated** ✅:
1. **Terminal Sessions** (Mahavishnu)
   - iTerm2 windows
   - Mcpretentious sessions
   - Shell commands
   - Output capture

2. **Workflows** (Mahavishnu + FastMCP)
   - Repository sweeps
   - Quality checks
   - Message queue operations

**Can Be Orchestrated** (with extensions):
3. **Cloud Run Services** (needs CloudRunManager)
   - Service deployment
   - Revision management
   - Traffic splitting
   - Auto-scaling

4. **Kubernetes Pods** (needs K8sManager)
   - Pod orchestration
   - Deployment management
   - Config maps
   - Services

5. **Development Environments** (needs DevEnvManager)
   - Docker Compose stacks
   - Local K8s (kind/minikube)
   - VM instances
   - Database instances

---

### 6. Oneiric Integration for Task Queues & Messaging?

**Answer**: ⚠️ **In progress, not ready yet**

**Current State**:
- ✅ **Oneiric MCP Server**: In progress (being built)
- ✅ **Database/Vector Adapters**: Working (Postgres, pgvector)
- ❌ **Task Queue Adapters**: Don't exist yet
- ❌ **Messaging Adapters**: Don't exist yet

**Oneiric MCP Server Will Provide**:
```python
# Tools:
list_adapters()           # List available adapters
get_adapter_info()        # Get adapter details
validate_config()         # Validate settings
test_connection()         # Test connectivity

# Resources:
adapters://               # Enumerate all adapters
adapters/{name}           # Get specific adapter
```

**Task Queues to Build**:
- `CeleryQueueAdapter` - Celery integration
- `RedisQueueAdapter` - RQ (Redis Queue) integration

**Messaging to Build**:
- `RedisMessageAdapter` - Redis pub/sub for events

**Integration Timeline**:
- Week 1-2: Oneiric MCP Server (20 hours)
- Week 3: Mahavishnu integration (12 hours)
- Week 4-5: Queue adapters (24 hours)
- Week 6-7: Messaging adapters (20 hours)

---

## 🎯 FastBlocks & SplashSand Needs

### FastBlocks Orchestration Requirements:

**Block Deployment**:
```python
# Deploy blocks to Cloud Run
await orchestrator.deploy_block(
    block=FastBlock,
    target="cloudrun"  # or "k8s" or "terminal"
)

# Result: Independent Cloud Run service
# Each block = microservice
# Blocks communicate via HTTP/pubsub
```

**Block Pipelines**:
```python
# Deploy connected blocks as pipeline
await orchestrator.deploy_pipeline(
    blocks=[auth_block, api_block, db_block],
    connections=[
        (auth_block, api_block),
        (api_block, db_block)
    ]
)
```

**Task Processing** (with Oneiric queues):
```python
# Submit block for async processing
task_id = await queue.submit_task(
    task_name="process_fastblock",
    args=[block.to_dict()]
)

# Check status
status = await queue.get_task_status(task_id)
```

### SplashSand Orchestration Requirements:

**Sandcastle Deployment**:
```python
# Deploy entire sandcastle
await splash_orchestrator.deploy_sandcastle(
    sandcastle=production_sandcastle,
    region="us-central1"
)

# Result:
# - api-service (Cloud Run, 100% traffic)
# - worker-service (Cloud Run, auto-scaling)
# - webhook-service (Cloud Run, internal)
```

**Event Messaging** (with Oneiric messaging):
```python
# Publish deployment events
await messaging.publish(
    queue="sandcastle:production:events",
    message={
        "event": "deployment_complete",
        "service": "api-service",
        "revision": "v2.0.0"
    }
)

# Subscribe to events
await messaging.consume(
    queue="sandcastle:production:events",
    callback=handle_event
)
```

**Multi-Region Deployment**:
```python
# Deploy to multiple regions
await splash_orchestrator.deploy_multi_region(
    sandcastle=global_sandcastle,
    regions=["us-central1", "europe-west1", "asia-east1"]
)

# Result:
# - 3 regional deployments
# - Cloud Load Balancer
# - Regional health checks
```

---

## 📊 Architecture Overview

```
┌─────────────────────────────────────────────────────────┐
│                  Claude Code Session                     │
│                  (Session-Buddy Active)                  │
└────────────────────┬────────────────────────────────────┘
                     │
                     ▼
┌─────────────────────────────────────────────────────────┐
│              Session-Buddy Lifecycle Manager             │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐ │
│  │ SessionStart │  │ UserPrompt   │  │  SessionEnd  │ │
│  │    Hook      │  │   Hooks      │  │    Hook      │ │
│  └──────┬───────┘  └──────┬───────┘  └──────┬───────┘ │
└─────────┼──────────────────┼──────────────────┼───────┘
          │                  │                  │
          ▼                  ▼                  ▼
    ┌──────────┐        ┌─────────┐        ┌──────────┐
    │  Qwen    │        │  Hooks  │        │ Cleanup  │
    │ Session  │        │ Trigger │        │ & Commit │
    └──────────┘        └─────────┘        └──────────┘
                                                     │
                                                     ▼
         ┌──────────────────────────────────────────────────┐
         │            Mahavishnu Orchestrator               │
         │  ┌────────────┐  ┌────────────┐  ┌────────────┐ │
         │  │  Terminal  │  │  CloudRun  │  │  K8s Pods  │ │
         │  │  Manager   │  │  Manager   │  │  Manager   │ │
         │  └────────────┘  └────────────┘  └────────────┘ │
         └──────────────────────────────────────────────────┘
                      │                │
                      ▼                ▼
         ┌────────────────┐  ┌─────────────────┐
         │  FastBlocks    │  │   SplashSand    │
         │  Blocks        │  │   Sandcastles   │
         │  (Cloud Run)   │  │  (Cloud Run)    │
         └────────────────┘  └─────────────────┘
                      │                │
                      ▼                ▼
         ┌──────────────────────────────────────────────┐
         │         Oneiric Task & Messaging              │
         │  ┌────────────┐  ┌──────────────────────────┐ │
         │  │ Task Queue │  │   Messaging (Pub/Sub)    │ │
         │  │ (Redis/C.) │  │        (Redis)           │ │
         │  └────────────┘  └──────────────────────────┘ │
         └──────────────────────────────────────────────┘
```

---

## 🚀 Implementation Roadmap

### Phase 1: Foundation (Week 1-2) - 30 hours

**Task 1.1: Oneiric MCP Server** (20 hours)
- [ ] Create `oneiric/mcp/server.py`
- [ ] Implement `list_adapters` tool
- [ ] Implement `get_adapter_info` tool
- [ ] Add adapter resources
- [ ] Test with clients

**Task 1.2: Qwen Integration** (6 hours)
- [ ] Create Qwen hook plugin
- [ ] Auto-start/stop Qwen sessions
- [ ] Test with Session-Buddy

**Task 1.3: Agent Registration** (4 hours)
- [ ] Create `fastblocks-architect.md`
- [ ] Create `splashsand-specialist.md`
- [ ] Test Task tool invocation

### Phase 2: Cloud Run Orchestration (Week 3) - 12 hours

**Task 2.1: CloudRunManager** (12 hours)
- [ ] Create `CloudRunManager` class
- [ ] Implement service deployment
- [ ] Implement scaling operations
- [ ] Test with real services

### Phase 3: Mahavishnu Integration (Week 4) - 12 hours

**Task 3.1: Oneiric Integration** (12 hours)
- [ ] Create `OneiricAdapterClient`
- [ ] Implement adapter discovery
- [ ] Add dynamic adapter loading
- [ ] Test with real adapters

### Phase 4: Task Queues (Week 5-6) - 24 hours

**Task 4.1: Queue Adapters** (24 hours)
- [ ] Create `oneiric/adapters/queue/base.py`
- [ ] Implement `RedisQueueAdapter` (RQ)
- [ ] Implement `CeleryQueueAdapter`
- [ ] Add health checks
- [ ] Test task submission/status

### Phase 5: Messaging (Week 7-8) - 20 hours

**Task 5.1: Messaging Adapters** (20 hours)
- [ ] Create `oneiric/adapters/messaging/base.py`
- [ ] Implement `RedisMessageAdapter`
- [ ] Add pub/sub support
- [ ] Test publish/consume

### Phase 6: FastBlocks Integration (Week 9) - 16 hours

**Task 6.1: FastBlocks Orchestration** (16 hours)
- [ ] Integrate Redis queue for block processing
- [ ] Add task status monitoring
- [ ] Implement block pipeline orchestration
- [ ] Test with real blocks

### Phase 7: SplashSand Integration (Week 10) - 16 hours

**Task 7.1: SplashSand Orchestration** (16 hours)
- [ ] Integrate Redis messaging for events
- [ ] Add deployment event publishing
- [ ] Implement event subscription
- [ ] Test with sandcastle deployments

---

## 📈 Success Criteria

### Phase 1 Complete When:
- ✅ Oneiric MCP server returns adapter list
- ✅ Qwen sessions auto-start/stop
- ✅ FastBlocks/SplashSand agents usable via Task

### Phase 2 Complete When:
- ✅ Cloud Run services deployable via Mahavishnu
- ✅ Services scalable programmatically
- ✅ Health checks working

### Phase 3 Complete When:
- ✅ Mahavishnu discovers adapters from Oneiric
- ✅ Adapters load dynamically
- ✅ Configuration managed via Oneiric

### Phase 4 Complete When:
- ✅ Tasks submit to Redis/Celery queues
- ✅ Task status queryable
- ✅ Workers processing tasks

### Phase 5 Complete When:
- ✅ Messages publish to Redis
- ✅ Subscribers receive messages
- ✅ Event-driven architecture working

### Phase 6 Complete When:
- ✅ FastBlocks deploy as Cloud Run services
- ✅ Blocks process via task queues
- ✅ Block pipelines orchestratable

### Phase 7 Complete When:
- ✅ SplashSand sandcastles deploy to Cloud Run
- ✅ Events publish via messaging
- ✅ Multi-region deployment working

---

## 💡 Key Insights

### What You Have:
1. ✅ **Session-Buddy**: Excellent hooks system
2. ✅ **Mahavishnu**: Terminal orchestration working
3. ✅ **Oneiric**: Database/vector adapters solid
4. ✅ **MCP Servers**: Cloud Run server available

### What You Need:
1. ⚠️ **Oneiric MCP Server**: In progress
2. ⚠️ **Task Queue Adapters**: Need to build
3. ⚠️ **Messaging Adapters**: Need to build
4. ⚠️ **CloudRunManager**: Need to build
5. ⚠️ **K8sManager**: Need to build (future)

### Recommended Priority:
1. **Oneiric MCP Server** (enables adapter discovery)
2. **Qwen Integration** (immediate value, easy)
3. **Agent Registration** (enables Task tool)
4. **CloudRunManager** (needed for projects)
5. **Redis Queue Adapter** (task processing)
6. **Redis Messaging Adapter** (events)

---

## 📝 Summary

**YES** - You can orchestrate beyond coding sessions! Here's the path:

**Immediate** (This Month):
1. Build Oneiric MCP server (adapter discovery)
2. Create Qwen hook plugin (auto sessions)
3. Register FastBlocks/SplashSand agents

**Short-term** (Next 2 Months):
4. Build CloudRunManager (service orchestration)
5. Integrate Oneiric with Mahavishnu (dynamic loading)
6. Add Redis queue adapter (task processing)

**Medium-term** (3-4 Months):
7. Add Redis messaging adapter (events)
8. FastBlocks orchestration integration
9. SplashSand orchestration integration

**Total Estimate**: 130 hours (16 weeks) for full platform

**Result**:
- ✅ Auto-managed terminal sessions
- ✅ FastBlocks block deployment & processing
- ✅ SplashSand sandcastle orchestration
- ✅ Cloud-scale resource orchestration
- ✅ Task queues & messaging
- ✅ Multi-environment management

Let me know which phase to start with! 🚀
