# Orchestration Capabilities Analysis
**Date**: 2025-01-25
**Projects**: Session-Buddy, Mahavishnu
**Focus**: Multi-environment orchestration for FastBlocks & SplashSand

---

## 📋 Executive Summary

**YES** - Session-Buddy and Mahavishnu have orchestration capabilities, but they're currently **separate systems** that can be **unified** for your FastBlocks and SplashSand projects.

### Current State:
1. ✅ **Session-Buddy**: Hook-based lifecycle system (can be integrated with terminal sessions)
2. ✅ **Mahavishnu**: Terminal session orchestration (iTerm2, mcpretentious adapters)
3. ⚠️ **Cloud Run**: MCP server exists but not integrated with orchestration
4. ⚠️ **Agent Registration**: Custom agents require manual registration in Task tool

### Recommendations:
- **FastBlocks**: Can use unified Mahavishnu + Session-Buddy orchestration
- **SplashSand**: Same unified approach with Cloud Run integration
- **Custom Agents**: Can be registered as Task subagents (requires setup)

---

## 1. Session-Buddy + Qwen Terminal Integration

### Current Capabilities:

**Session Lifecycle Hooks** ✅
```python
# session_buddy/core/session_manager.py
class SessionLifecycleManager:
    """Manages session lifecycle operations."""

    async def start_session(self) -> HookResult:
        """Start session with hooks."""

    async def end_session(self) -> HookResult:
        """End session with hooks and cleanup."""
```

**Hook System** ✅
- SessionStart hooks (runs when session starts)
- SessionEnd hooks (runs when session ends)
- UserPromptSubmit hooks (runs on each message)
- Can trigger arbitrary shell commands

### Integration Pattern for Qwen:

**Option A: Shell Hook Integration** (Recommended)
```python
# In settings.json hooks configuration:
{
  "SessionStart": [
    {
      "command": "qwen session start --project {project_name}",
      "enabled": true
    }
  ],
  "SessionEnd": [
    {
      "command": "qwen session stop --project {project_name}",
      "enabled": true
    }
  ]
}
```

**Option B: Programmatic Integration**
```python
# session_buddy/integrations/qwen_integration.py
class QwenSessionManager:
    """Automate Qwen terminal sessions."""

    async def start_qwen_session(self, project: str) -> str:
        """Start Qwen session for project."""
        # Start Qwen terminal session
        # Return session ID

    async def stop_qwen_session(self, session_id: str) -> None:
        """Stop Qwen session."""
```

### What Needs to Be Built:

1. **Qwen Hook Plugin** (2-3 hours)
   - Create `session_buddy/integrations/qwen_hooks.py`
   - Implement SessionStart/SessionEnd hooks
   - Auto-detect Qwen projects
   - Register in `session_buddy/server.py`

2. **Qwen Session Bridge** (1-2 hours)
   - Bridge SessionLifecycleManager to Qwen CLI
   - Auto-start/stop on session lifecycle
   - Pass project context to Qwen

---

## 2. Custom Agent Registration (Task Subagents)

### How Task Tool Works:

The Task tool uses **pre-registered subagent types** defined in agent files. Here's the pattern:

**Current Agent Registration** (in `.claude/agents/`):
```yaml
---
name: python-pro
description: Python language specialist for implementation...
model: sonnet
---
[Agent instructions]
```

### Registering Your Custom Agents:

**Step 1: Create Agent File**
```bash
# Create agent file in .claude/agents/
mkdir -p /Users/les/.claude/agents/
cat > /Users/les/.claude/agents/fastblocks-architect.md << 'EOF'
---
name: fastblocks-architect
description: FastBlocks framework specialist for feature architecture and planning
model: sonnet
---
# FastBlocks Architecture Agent

You are a specialist in FastBlocks framework patterns and architecture.

## Key Responsibilities:
1. Design FastBlocks-compatible features
2. Ensure block modularity and reusability
3. Plan block composition strategies
4. Validate against FastBlocks best practices

## Architecture Patterns:
- Block-based composition
- Event-driven block communication
- Immutable block state
- Declarative block definitions

When planning features, always consider:
- How to decompose into reusable blocks
- Block interface design (inputs/outputs)
- Inter-block communication patterns
- Block lifecycle management
EOF
```

**Step 2: Use in Task Tool**
```python
# In your code or via MCP
Task(
    subagent_type="fastblocks-architect",
    prompt="Design a user authentication block for FastBlocks",
    description="Design FastBlocks auth block"
)
```

### Mahavishnu Agent Registration:

Mahavishnu doesn't currently use the Task tool's subagent system. It has:
- **Direct adapter instantiation** in `MahavishnuApp._initialize_adapters()`
- **No agent registry** - adapters are created directly

**To Unify**:
1. Register Mahavishnu agents in `.claude/agents/`
2. Create bridge between Task tool and Mahavishnu adapters
3. Use Task tool to invoke Mahavishnu orchestrators

### Example: SplashSand Agent Registration

```yaml
---
name: splashsand-specialist
description: SplashSand cloud orchestration specialist
model: sonnet
---
# SplashSand Orchestration Agent

You specialize in SplashSand cloud deployment and orchestration.

## Capabilities:
- Cloud Run service orchestration
- Multi-region deployment planning
- Auto-scaling configuration
- Traffic management

## Cloud Run Patterns:
- Container orchestration
- Revision management
- Traffic splitting
- Service-to-service communication

When working with SplashSand:
1. Analyze deployment requirements
2. Design Cloud Run architecture
3. Plan revision strategies
4. Configure auto-scaling
```

---

## 3. Mahavishnu Orchestration: Terminal vs K8s

### Current Architecture:

**Terminal Sessions** (Implemented ✅):
```python
# mahavishnu/terminal/manager.py
class TerminalManager:
    """Manage multiple terminal sessions with high concurrency."""

    async def launch_sessions(
        self,
        profile: str,  # "qwen", "dev", "prod"
        count: int = 1
    ) -> List[str]:
        """Launch multiple terminal sessions."""

    async def send_command(
        self,
        session_id: str,
        command: str
    ) -> None:
        """Send command to terminal session."""
```

**Kubernetes Orchestration** (NOT Implemented ❌):
- No K8s adapter exists
- Would need to be built
- Similar pattern to TerminalManager

### Are They Separate?

**YES** - Currently separate systems:
1. **TerminalManager**: Handles iTerm2, mcpretentious terminals
2. **No K8sManager**: Doesn't exist yet

### Unification Architecture:

```python
# mahavishnu/orchestration/base.py
class OrchestratorAdapter(ABC):
    """Base class for all orchestration adapters."""

    @abstractmethod
    async def launch_instances(
        self,
        profile: str,
        count: int
    ) -> List[str]:
        """Launch orchestrated instances."""

    @abstractmethod
    async def execute_command(
        self,
        instance_id: str,
        command: str
    ) -> Dict[str, Any]:
        """Execute command in instance."""

# mahavishnu/orchestration/terminal_adapter.py
class TerminalOrchestrator(OrchestratorAdapter):
    """Terminal session orchestration (already exists)."""
    pass

# mahavishnu/orchestration/kubernetes_adapter.py
class KubernetesOrchestrator(OrchestratorAdapter):
    """Kubernetes pod orchestration (needs to be built)."""
    pass

# mahavishnu/orchestration/cloudrun_adapter.py
class CloudRunOrchestrator(OrchestratorAdapter):
    """Cloud Run service orchestration (needs to be built)."""
    pass
```

### Pattern for Terminal vs K8s:

**Terminal Sessions** (Current):
```
Mahavishnu → TerminalManager → iTerm2 Adapter → Terminal Windows
```

**K8s Pods** (Future):
```
Mahavishnu → K8sManager → Kubernetes API → Pods
```

**Cloud Run Services** (Future):
```
Mahavishnu → CloudRunManager → Cloud Run API → Services
```

**Unified** (Recommended):
```
Mahavishnu → OrchestratorManager → Adapter Interface → (Terminal/K8s/CloudRun)
```

---

## 4. Cloud Run Integration

### Current State:

**Cloud Run MCP Server** ✅
```bash
# Listed in settings.json
"mcp__cloud-run": {
  "command": "npx",
  "args": ["-y", "@modelcontextprotocol/server-cloud-run", "..."]
}
```

**But Not Integrated** ❌:
- No Cloud Run orchestration adapter
- No unified orchestration manager
- Cloud Run tools available but not orchestrated

### Building Cloud Run Orchestration:

**Step 1: Create Cloud Run Manager**
```python
# mahavishnu/cloudrun/manager.py
class CloudRunManager:
    """Manage Cloud Run services similarly to terminal sessions."""

    def __init__(self, project: str, region: str = "us-central1"):
        self.project = project
        self.region = region
        # Use Cloud Run MCP server tools

    async def launch_services(
        self,
        service_name: str,
        count: int = 1
    ) -> List[str]:
        """Launch multiple Cloud Run service instances."""

    async def execute_command(
        self,
        service_id: str,
        command: str
    ) -> Dict[str, Any]:
        """Execute command in Cloud Run service."""
```

**Step 2: Register in Mahavishnu**
```python
# mahavishnu/core/app.py
class MahavishnuApp:
    def _initialize_adapters(self):
        # Existing adapters
        if self.settings.adapters.prefect:
            self.prefect = PrefectAdapter(...)
        if self.settings.adapters.llamaindex:
            self.llamaindex = LlamaIndexAdapter(...)

        # NEW: Cloud Run orchestration
        if self.settings.adapters.cloudrun:
            from mahavishnu.cloudrun import CloudRunManager
            self.cloudrun = CloudRunManager(
                project=self.settings.cloudrun_project,
                region=self.settings.cloudrun_region
            )
```

### Cloud Run for FastBlocks & SplashSand:

**FastBlocks Cloud Run**:
```python
# Deploy FastBlocks blocks as Cloud Run services
async def deploy_fastblocks_block(
    block_name: str,
    container_image: str,
    memory: str = "512Mi",
    cpu: str = "1"
):
    """Deploy a single FastBlocks block as Cloud Run service."""
    # Each block = independent Cloud Run service
    # Blocks communicate via HTTP/pubsub
```

**SplashSand Cloud Run**:
```python
# Deploy SplashSand sandcastles as Cloud Run services
async def deploy_splashsand_sandcastle(
    sandcastle_name: str,
    config: SandcastleConfig
):
    """Deploy SplashSand sandcastle with multiple services."""
    # Each sandcastle = collection of Cloud Run services
    # Services = API, workers, webhooks, etc.
```

---

## 5. Orchestration Beyond Coding Sessions

### What Can Be Orchestrated:

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

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

**With Extensions** ⚠️:
3. **Cloud Run Services** (needs CloudRunManager)
   - Service deployment
   - Revision management
   - Traffic splitting
   - Scaling operations

4. **Kubernetes Pods** (needs K8sManager)
   - Pod orchestration
   - Deployment management
   - Service exposure
   - Config map management

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

### FastBlocks Orchestration Needs:

**Block Deployment**:
```python
class FastBlocksOrchestrator:
    """Orchestrate FastBlocks block deployment."""

    async def deploy_block(
        self,
        block: FastBlock,
        target: "cloudrun" | "k8s" | "terminal"
    ):
        """Deploy block to target environment."""
        if target == "cloudrun":
            await self.cloudrun.deploy(block)
        elif target == "k8s":
            await self.k8s.deploy(block)
        elif target == "terminal":
            await self.terminal.run_block(block)
```

**Block Composition**:
```python
# Orchestrate multiple blocks as a pipeline
async def deploy_pipeline(
    blocks: List[FastBlock],
    orchestration_target: str
):
    """Deploy connected blocks."""
    # Deploy each block
    # Configure inter-block communication
    # Set up event flows
    # Verify connectivity
```

### SplashSand Orchestration Needs:

**Sandcastle Deployment**:
```python
class SplashSandOrchestrator:
    """Orchestrate SplashSand sandcastle deployment."""

    async def deploy_sandcastle(
        self,
        sandcastle: Sandcastle,
        region: str = "us-central1"
    ):
        """Deploy entire sandcastle to Cloud Run."""
        # 1. Deploy API service
        # 2. Deploy worker services
        # 3. Deploy webhook handlers
        # 4. Configure routing
        # 5. Set up monitoring
```

**Multi-Region Deployment**:
```python
async def deploy_multi_region(
    sandcastle: Sandcastle,
    regions: List[str]
):
    """Deploy sandcastle to multiple regions."""
    # Deploy to each region
    # Configure regional load balancing
    # Set up cross-region communication
```

---

## 6. Implementation Roadmap

### Phase 1: Foundation (Week 1)

**Task 1.1: Unify Orchestration Architecture**
- Create `OrchestratorAdapter` base class
- Refactor `TerminalManager` to use adapter pattern
- Create `OrchestratorManager` to manage multiple adapters
- **Estimate**: 8 hours

**Task 1.2: Session-Buddy + Qwen Integration**
- Create Qwen hook plugin
- Auto-detect Qwen projects
- Auto-start/stop Qwen sessions
- **Estimate**: 4 hours

### Phase 2: Cloud Run Orchestration (Week 2)

**Task 2.1: Cloud Run Manager**
- Create `CloudRunManager` class
- Implement service deployment
- Implement scaling operations
- **Estimate**: 12 hours

**Task 2.2: Mahavishnu Integration**
- Register CloudRunManager in MahavishnuApp
- Add Cloud Run settings to config
- Create MCP tool bridges
- **Estimate**: 4 hours

### Phase 3: FastBlocks Integration (Week 3)

**Task 3.1: FastBlocks Agent**
- Register `fastblocks-architect` agent
- Create FastBlocks-specific patterns
- Add block deployment validation
- **Estimate**: 6 hours

**Task 3.2: FastBlocks Orchestrator**
- Create block deployment logic
- Implement block composition
- Add inter-block communication setup
- **Estimate**: 10 hours

### Phase 4: SplashSand Integration (Week 4)

**Task 4.1: SplashSand Agent**
- Register `splashsand-specialist` agent
- Create Cloud Run patterns
- Add multi-region deployment knowledge
- **Estimate**: 6 hours

**Task 4.2: SplashSand Orchestrator**
- Create sandcastle deployment logic
- Implement multi-service orchestration
- Add traffic management
- **Estimate**: 12 hours

---

## 7. Architecture Recommendations

### Recommended Architecture:

```
┌─────────────────────────────────────────────────────────────┐
│                     Claude Code Session                     │
│                  (Session-Buddy Active)                     │
└────────────────────────┬────────────────────────────────────┘
                         │
                         ▼
┌─────────────────────────────────────────────────────────────┐
│              Session-Buddy Lifecycle Manager                │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐     │
│  │ SessionStart │  │   Message    │  │  SessionEnd  │     │
│  │    Hook      │  │    Hooks     │  │    Hook      │     │
│  └──────┬───────┘  └──────┬───────┘  └──────┬───────┘     │
└─────────┼──────────────────┼──────────────────┼─────────────┘
          │                  │                  │
          ▼                  ▼                  ▼
    ┌──────────┐        ┌─────────┐        ┌──────────┐
    │  Qwen    │        │  Hooks  │        │ Cleanup  │
    │ Session  │        │ Trigger │        │ Tasks    │
    └──────────┘        └─────────┘        └──────────┘
                                                      │
                                                      ▼
         ┌────────────────────────────────────────────────────┐
         │            Mahavishnu Orchestrator                │
         │  ┌────────────┐  ┌────────────┐  ┌────────────┐  │
         │  │  Terminal  │  │  CloudRun  │  │  K8s Pods  │  │
         │  │  Manager   │  │  Manager   │  │  Manager   │  │
         │  └────────────┘  └────────────┘  └────────────┘  │
         └────────────────────────────────────────────────────┘
                      │                │
                      ▼                ▼
         ┌────────────────┐  ┌─────────────────┐
         │  FastBlocks    │  │   SplashSand    │
         │  Blocks        │  │   Sandcastles   │
         └────────────────┘  └─────────────────┘
```

### Data Flow:

1. **Session Start**:
   ```
   Claude Code → Session-Buddy → SessionStart Hook
   → Qwen Session Started → Mahavishnu Terminal Manager
   → Terminal Windows Created
   ```

2. **Feature Development**:
   ```
   User Request → Claude Code → Task Tool
   → fastblocks-architect Agent → FastBlocks Orchestrator
   → Cloud Run Manager → Services Deployed
   ```

3. **Session End**:
   ```
   Claude Code → Session-Buddy → SessionEnd Hook
   → Qwen Session Stopped → Mahavishnu Cleanup
   → Resources Released → Checkpoint Committed
   ```

---

## 8. FastBlocks + SplashSand Use Cases

### FastBlocks Orchestration:

**Use Case 1: Block Development**
```python
# 1. Start session
SessionStart Hook → Start Qwen terminal
# 2. Develop block
Task(fastblocks-architect) → Design block architecture
# 3. Deploy block
FastBlocks Orchestrator → Cloud Run Manager → Deploy service
# 4. Test block
Terminal Manager → Run integration tests
# 5. Commit changes
SessionEnd Hook → Git commit → Stop Qwen terminal
```

**Use Case 2: Block Pipeline**
```python
# Deploy multiple blocks as a pipeline
blocks = [auth_block, api_block, db_block]
await orchestrator.deploy_pipeline(blocks, target="cloudrun")

# Result:
# - auth-block-service (Cloud Run)
# - api-block-service (Cloud Run)
# - db-block-service (Cloud Run)
# All connected via HTTP/pubsub
```

### SplashSand Orchestration:

**Use Case 1: Sandcastle Deployment**
```python
# 1. Plan deployment
Task(splashsand-specialist) → Design sandcastle architecture

# 2. Deploy to Cloud Run
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 only)
```

**Use Case 2: Multi-Region Deployment**
```python
# Deploy to multiple regions for redundancy
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
```

---

## 9. Key Insights

### ✅ What You Already Have:

1. **Session-Buddy**: Excellent hook system for lifecycle automation
2. **Mahavishnu**: Terminal orchestration working well
3. **MCP Servers**: Cloud Run server available (just needs integration)
4. **Agent System**: Task tool can use custom agents

### ⚠️ What Needs Work:

1. **Unification**: Terminal/K8s/CloudRun need common adapter pattern
2. **K8s Support**: Kubernetes orchestration doesn't exist yet
3. **Cloud Run Integration**: MCP server exists but no orchestrator wrapper
4. **Agent Registration**: Manual process for custom agents

### 🎯 Recommendations:

1. **Start with Qwen Integration** (easiest, high value)
   - Build Session-Buddy hooks for Qwen
   - Auto-start/stop terminal sessions
   - **Estimate**: 6 hours

2. **Unify Orchestration** (critical for scale)
   - Create OrchestratorAdapter base class
   - Refactor TerminalManager
   - **Estimate**: 8 hours

3. **Add Cloud Run Manager** (needed for FastBlocks/SplashSand)
   - Build on existing Cloud Run MCP server
   - Follow TerminalManager pattern
   - **Estimate**: 12 hours

4. **Register Project Agents** (enables Task tool usage)
   - Create agent files for FastBlocks/SplashSand
   - Document agent patterns
   - **Estimate**: 4 hours

---

## 10. Next Steps

### Immediate Actions:

1. **Qwen Integration** (This Week)
   - [ ] Create Qwen hook plugin
   - [ ] Test auto-start/stop
   - [ ] Document setup

2. **Agent Registration** (This Week)
   - [ ] Create fastblocks-architect.md
   - [ ] Create splashsand-specialist.md
   - [ ] Test Task tool invocation

3. **Orchestration Unification** (Next Week)
   - [ ] Design OrchestratorAdapter interface
   - [ ] Refactor TerminalManager
   - [ ] Create OrchestratorManager

4. **Cloud Run Manager** (Week 3)
   - [ ] Build CloudRunManager class
   - [ ] Integrate with Cloud Run MCP server
   - [ ] Test service deployment

### Success Criteria:

✅ **Qwen Integration**: Auto-start/stop works reliably
✅ **Agent Registration**: FastBlocks/SplashSand agents usable via Task
✅ **Unified Orchestration**: Single interface for terminal/K8s/CloudRun
✅ **Cloud Run**: Deploy and manage services programmatically
✅ **FastBlocks**: Deploy blocks as Cloud Run services
✅ **SplashSand**: Deploy sandcastles with multiple services

---

## Summary

**YES** - You can orchestrate beyond coding sessions! The foundation is there, but needs:

1. **Qwen Integration**: Build Session-Buddy hooks (6 hours)
2. **Agent Registration**: Create agent files (4 hours)
3. **Orchestration Unification**: Common adapter pattern (8 hours)
4. **Cloud Run Manager**: Wrap MCP server (12 hours)

**Total Estimate**: 30 hours (4 weeks) for full orchestration platform

This will give you:
- ✅ Auto-managed terminal sessions
- ✅ FastBlocks block deployment
- ✅ SplashSand sandcastle orchestration
- ✅ Unified multi-environment management
- ✅ Cloud-scale resource orchestration

**Recommended Priority**:
1. Qwen integration (immediate value)
2. Agent registration (enables Task tool)
3. Cloud Run manager (needed for projects)
4. K8s manager (future scale)

Let me know which area you'd like to tackle first! 🚀
